From eca4d62fda6f43c7c004175b2c8237bad7a8b517 Mon Sep 17 00:00:00 2001 From: seanebum Date: Mon, 28 Feb 2022 14:47:02 -0500 Subject: [PATCH 01/30] small doc update --- .../.doctrees/classes/spatialpy.core.doctree | Bin 1331264 -> 1332244 bytes docs/build/html/.doctrees/environment.pickle | Bin 451357 -> 451496 bytes .../html/_modules/spatialpy/core/domain.html | 16 +++++++--------- .../html/_modules/spatialpy/core/result.html | 9 ++++++++- docs/build/html/classes/spatialpy.core.html | 18 ++++++++++++++++-- docs/build/html/searchindex.js | 2 +- spatialpy/core/result.py | 9 ++++++++- 7 files changed, 40 insertions(+), 14 deletions(-) diff --git a/docs/build/html/.doctrees/classes/spatialpy.core.doctree b/docs/build/html/.doctrees/classes/spatialpy.core.doctree index 372e3575c3e4f429d3d05f097810bae7bb61ab31..bf7b07074ae5c19792745e55d45c0be383267d20 100644 GIT binary patch delta 1550 zcmeHHOK1~O6wP}x$z&#N+DWP?QTl|G82mKdxX3~(MJj#@U0J)SX=Z9h+nJJ|gwonT z?5Zf38J_MUA_xHmX?!T6Rs_Lrbmu~(sUQe$+zFcEO)`xYM3*W!FwDK@+#$%GM#5=GTh&3r1BN&!%R0IMkwr*qTln5IBlk8FU%QY4j5 z0yv(X7@JOLfR7s)U5N#gIg&LdGgB&=NXFu6&CsDr&p<&|OT~@)L9X}B(cT46)GjGnCyA#gE7r%G(x4a0p$1TJ^i+&ydwyWiDB3)xjv-sK8Z?uz$NvG%-|m9U7`MXPsX#&rp1M7m`c%VTK-7^lq? ztB?GZkDel;J^h|-(B~Nhwl($kTO4E_)FxwRB5-ygK>KP^gpG1-6wWShO#jq=09z$4 z!cKGThoRkX6YM7PCNSH|d&`@ovSrk93ey|w-XJ~Ub7t5>zM}(p&hDapbHWz3iaJfq zX8F$1nqcdpd4l#ajO8Mx(HTi*cX&BG@b4|znIrQ5CHu2~J9h45|ad&c|JFQT;r**h5aFYt8rN~gdc^Zv_UMeD;*V>umc2zBK-_L}cX9Qy{D C3KRhV delta 614 zcmZvZPiWI{6vy-XCHW<3(xgdNR_Mh!=LSU=cUAnu`~xjIdQuO18$?%85fyJ8wA71;Hhljns?2)8oDG_rv3T>$i%nYsIoh zJnHeD;E5i)FYTv>&XYaRcw}ycvMecZZb(Ywc_uw2#DQs1a$v+W)VODLH+wWc z33GkK!9qgX@C!y3Oa_N`TLajn@^xbQ97nj7az&R#>Sqt(y@MiS^(jOy2yUy)w;DySMX+hhxdg1Q*M-8Xa{hEy}D;?oY&5Vhw)E%kUO4)DqE z5p1ag8-MR$UQF%^ae~*~$kRDvmg%&#cbCnt9d654=?ubYG4SsA?xl$6-@N%;1D@U3HcgGH_%J!vY%!ys&(bO%hCe7iL+~pSj05t!&#{d8T diff --git a/docs/build/html/.doctrees/environment.pickle b/docs/build/html/.doctrees/environment.pickle index ebf24ccd3f558a6b6b25240a2d882c35a423f221..4cc145587402db263ae760cb8c88a89995ca84e7 100644 GIT binary patch delta 3017 zcmb7GeQZz55w3Q&MvntkZodo*_LQqw;RT-pPSLoI;SfzE-x{q`3bD{y# zrbTjo=l;$)zjN-r@7?=OT`u|2uS(|XEcBa}5_zV;9Z;fCZ?rBNR${6W2v0lQp@?^O z#;688-h))LR2f5oDQ_hHvgMkz@kr-O)~*Kas+5wlwe@`*eeC{3TUZ*soc2khc4c{# z-SVY2zdXu$+D%_w+eS~=%4xT)4NB?R>U^Wut$L&MY*i8cyDb}id6}NjgrWu=;py3# z&9ui>Nqg-j^wp|tdd8YZU#zs#kiDEbtxa^no`w8ZXxv&$BUYKt*~;jmwUVY;t@Ns` zIPE*4&EvCn`dyp(k&@x+dd$xIZ)KmLCo3yym-TT`ikG=#%cG_C>_^JIY0snP>P&j4 zdJT0{ndl9)Z`*Q2%V(;sbh5e%+uIfwT?3ShG!jpr|$e}zSx@Efd9Chc7R*+aaMn!f;xr{p-c(A z*}I#TE4lQub$Ri=J{#a*Rs7hV*L0(6AR!F;)V4gjcxwf7Xh7mk`vN-qo-3c#8IV~R z90uC$DWf}vuFz{fU2gp_%3brVqQ~}>$4`vRh(WwwIjI}(xefx|)>}qT4Hwg=dmFIp zbM&b_dhYYyPQbyc_(#4&x)JnaIA{K<>I{8u{5s6X`vdnS!S4&Lgd9HO9Y!(T9jV$p zoemGeJbgFZhmq9>{6ScV&)#}ghQim2U^W%5Bz}?#g#h#Hk`V^7c=ih-`2}r0QAJ>N z7c8(%y};pkFSrpt?}ader%%AUeQ zjr(CQ!twnufN*C&>_K>PNaURz;$klj!Wd^*U>N15{Oc}*0g+9pAnPOd- zp7}>Ad)fykoh?gt^PvwibVg1x8^)HHiX?Li8JzgJF|kM)e(>NZ?1x^2OMcjeP^jXj zF0iN$*Hmc2(FzULBeZL<1>xHov>{y6U>yRC!v?s*HjYD^Nxa)#Squg9*!Rbw7$57O zj>F#o26Yu~av4BSZ2*qGpxU2&^_=x{+A9TKbk*+B%*1!Pg{<0dBINKQ75> zi<0x6bYynMLa)DGk)t){rKC9jEIG3b$Q2`(&;FDHE7Am?V{kUGC!3@SQ=`Fo2qRd_ z6H-aJ@EtZdFY+AHF0Qp%ZJM8Evh!l%l_qKIw)EjqeNz&+DcZm@vfQQwWtUeD1@Y%= zmJcnjDPLOKlud4yr@VoXTa8WEJm`z~L$+qw;|)e1^-bUa!G{uplNdXtM%^La zrbZg1Cf2So~*^UMD8Gs;*glBWy*SDU$I#Yc86y*;i;uvzcoo{ zzuiF^FnDwesZDPSO@tNv0@CSPQv4;%q<|eAf-HR~w-K{$9p6aoy7l&E3|YDu(y&U-cCtn%iaSX< z5)0djIZfOSq8ZdIW%Zkg30(&|iEX)3DVrMw&izB4N_DHm3tJ-Z!x1D=GpvksB z?B6}VbI$Lcd+y`=>92B6|1x)>qJXHp!Ex6?+FX!JkK)f?P^yZCoSsPhm4any=drVC z=RQjJy(c9lHSYfS*xB@N@4xF?TDN}oQMPYo-THYn~uIK{v$3^wDs?0=HmSXz2 zSx<+HwY1w@L;q>kK^}eAl1X2%XlO@SIo(oHN`GHkLY<{~^sSP5L_K{_q@nMY8EK@% zKo6H?(7ECix(E5!%qjHQQfKlhQP;`&653K?rWT8y#>~3^p6CCnU$&IdvC@q78TOQJ zen@#A)~u&HEn2$GoUb`0){C>mzN(n#D=lU)i8c5za=#^qmTlG3`APj91YQDlTO5X8N28{Ns)EP4UrUoK?PANZZDZ z^uVy44q0>Q^{!63JdsZCRO#d0-DW^zQ~X5F8}gvFFChkWu1QaCe7b?HTqNrF69ayk zy*ie`DilECD}#2RO;fmk-?|`-Fy1ZT!)}-&qTOd$MK9Rd`5w^9#94NR6R$Ur zWOl>>1e3~oA%yU~UYJJE^?@BB&<75Lr9K!zu=Wc$(Jy>=`-QJsprXfo4`&M+m!Qhg1xG z&kioR?%%O{4rph~%|xYj>XMR5#98&-W}~Cf!TvM?S`7bUL^NY?6voiHJSyffIbdAY z_?&f&K|3w~Jb8m}RfGN60izh(G6pWWjDKs{Cr)Tf+c!187Q|1h#6EUHdwOH^5mu#R z_Z`rtZH(?)=h+8N7?HI!vOB%yAvYIGVQ;u`F@GFi+m&>gNNFKNy;fPD3%s&SmX0|_ zp^artfKFx%vM~MOmr8bI0@N~Vlv(zh3DC%lX_eXGUSkSZnbXMNy3e^qk2D?_M=R`s zE`%!{=s?Kw;+`(Chz!eK*pAi)A3TMy*9Q#<-|;~`!m;YPJock1m+ zl2!eg zWJ^^%KhK_dQp!u-rcX+;r7LXP*tHs|Fu6uyJB+?q7HvC}%}m=RlJkthc8ODDZ)not z4bJ;!`I}?1T}sq#m)y6dyD_vF>QS~ zTptR4-8CI`O>^@R1ipcLa5q@SbG?A|%EH)8?Tu(lA z+{<{mndp#BX(j~-Rn5eLFtwlLtUqR})fZs2K@$qQrXA6c&|PRITalCQ3J1OnVZ=@NPR0=oNwfxl?Hi>Q^)c8!5*)yH=4A-OdC#Rl#? ziUKPBsI3n9OD3lf@p=iGcaWs`A;W2a>S}n~h{=iycXApN)D#!AG|3u#K27 z=m$2w*NMwE@;-h-*{O>pGe_iX>Source code for spatialpy.core.domain
         #vertices
         obj.vertices = mesh_obj.points
         # triangles
-        if 'triangle' in mesh_obj.cells:
-            obj.triangles = mesh_obj.cells['triangle']
+        triangles = list(filter(lambda cell: cell.type == "triangle", mesh_obj.cells))
+        if triangles:
+            obj.triangles = triangles[0].data
         #tetrahedrons
-        if 'tetra' in mesh_obj.cells:
-            obj.tetrahedrons = mesh_obj.cells['tetra']
+        tetras = list(filter(lambda cell: cell.type == "tetra", mesh_obj.cells))
+        if tetras:
+            obj.tetrahedrons = tetras[0].data
         # volume
         obj.calculate_vol()
         if not numpy.count_nonzero(obj.vol):
@@ -835,16 +837,12 @@ 
Source code for spatialpy.core.domain
         :returns: SpatialPy Domain object created from the mesh file.
         :rtype: spatialpy.Domain.Domain
         """
-        try:
-            import pygmsh # pylint: disable=import-outside-toplevel
-        except ImportError as err:
-            raise DomainError("The python package 'pygmsh' is not installed.") from err
         try:
             import meshio # pylint: disable=import-outside-toplevel
         except ImportError as err:
             raise DomainError("The python package 'meshio' is not installed.") from err
 
-        return cls.import_meshio_object(meshio.msh_io.read(filename))

+        return cls.import_meshio_object(meshio.read(filename))
[docs] def read_stochss_subdomain_file(self, filename, type_ids=None): """ diff --git a/docs/build/html/_modules/spatialpy/core/result.html b/docs/build/html/_modules/spatialpy/core/result.html index 4256e5b5..1eff9884 100644 --- a/docs/build/html/_modules/spatialpy/core/result.html +++ b/docs/build/html/_modules/spatialpy/core/result.html @@ -671,7 +671,14 @@

Source code for spatialpy.core.result

         given, that value is used to index into the timespan, and that time point is returned \
         as a 1D array with size (number of voxel).
 
-        :param property_name: A string describing the property to be returned.
+        :param property_name: A string describing the property to be returned.  Can be one of: {
+            'v' : velocity,
+            'rho': density,
+            'mass': mass,
+            'id': type_id,
+            'type': type as str,
+            'bvf_phi': boundary volume fraction,
+            'nu': viscosity}
         :type property_name: str
 
         :param timepoints: timespan index to be returned.  Default is None
diff --git a/docs/build/html/classes/spatialpy.core.html b/docs/build/html/classes/spatialpy.core.html
index a5249b96..7e561e2a 100644
--- a/docs/build/html/classes/spatialpy.core.html
+++ b/docs/build/html/classes/spatialpy.core.html
@@ -1643,7 +1643,14 @@ 
Submodules
 
Parameters

 
    
-
  • property_name (str) – A string describing the property to be returned.
    • 
+
  • property_name (str) – A string describing the property to be returned.  Can be one of: {
+‘v’ : velocity,
+‘rho’: density,
+‘mass’: mass,
+‘id’: type_id,
+‘type’: type as str,
+‘bvf_phi’: boundary volume fraction,
+‘nu’: viscosity}
    • 
 
  • timepoints (int) – timespan index to be returned.  Default is None
    • 
 

 

@@ -3825,7 +3832,14 @@ 
Submodules
 
Parameters

 
    
-
  • property_name (str) – A string describing the property to be returned.
    • 
+
  • property_name (str) – A string describing the property to be returned.  Can be one of: {
+‘v’ : velocity,
+‘rho’: density,
+‘mass’: mass,
+‘id’: type_id,
+‘type’: type as str,
+‘bvf_phi’: boundary volume fraction,
+‘nu’: viscosity}
    • 
 
  • timepoints (int) – timespan index to be returned.  Default is None
    • 
 

 

diff --git a/docs/build/html/searchindex.js b/docs/build/html/searchindex.js
index 4a0be063..6ffa4df0 100644
--- a/docs/build/html/searchindex.js
+++ b/docs/build/html/searchindex.js
@@ -1 +1 @@
-Search.setIndex({docnames:["classes/spatialpy","classes/spatialpy.core","classes/spatialpy.solvers","classes/spatialpy.stochss","index"],envversion:{"sphinx.domains.c":2,"sphinx.domains.changeset":1,"sphinx.domains.citation":1,"sphinx.domains.cpp":4,"sphinx.domains.index":1,"sphinx.domains.javascript":2,"sphinx.domains.math":2,"sphinx.domains.python":3,"sphinx.domains.rst":2,"sphinx.domains.std":2,"sphinx.ext.todo":2,"sphinx.ext.viewcode":1,sphinx:56},filenames:["classes/spatialpy.rst","classes/spatialpy.core.rst","classes/spatialpy.solvers.rst","classes/spatialpy.stochss.rst","index.rst"],objects:{"":{spatialpy:[0,0,0,"-"]},"spatialpy.core":{BoundaryCondition:[1,1,1,""],BoundaryConditionError:[1,3,1,""],DataFunction:[1,1,1,""],DataFunctionError:[1,3,1,""],Domain:[1,1,1,""],DomainError:[1,3,1,""],Geometry:[1,1,1,""],GeometryAll:[1,1,1,""],GeometryError:[1,3,1,""],GeometryExterior:[1,1,1,""],GeometryInterior:[1,1,1,""],InitialCondition:[1,1,1,""],InitialConditionError:[1,3,1,""],KDTree:[1,1,1,""],Model:[1,1,1,""],ModelError:[1,3,1,""],OrderedDict:[1,1,1,""],Parameter:[1,1,1,""],ParameterError:[1,3,1,""],PlaceInitialCondition:[1,1,1,""],Reaction:[1,1,1,""],ReactionError:[1,3,1,""],Result:[1,1,1,""],ResultError:[1,3,1,""],ScatterInitialCondition:[1,1,1,""],SimulationError:[1,3,1,""],SimulationTimeout:[1,3,1,""],Species:[1,1,1,""],SpeciesError:[1,3,1,""],UniformInitialCondition:[1,1,1,""],VTKReader:[1,1,1,""],VTKReaderError:[1,3,1,""],VTKReaderIOError:[1,3,1,""],boundarycondition:[1,0,0,"-"],cleanup:[1,0,0,"-"],cleanup_build_files:[1,5,1,""],cleanup_core_files:[1,5,1,""],cleanup_result_files:[1,5,1,""],cleanup_tempfiles:[1,5,1,""],combinations:[1,1,1,""],datafunction:[1,0,0,"-"],domain:[1,0,0,"-"],geometry:[1,0,0,"-"],init_notebook_mode:[1,5,1,""],initialcondition:[1,0,0,"-"],iplot:[1,5,1,""],model:[1,0,0,"-"],parameter:[1,0,0,"-"],reaction:[1,0,0,"-"],result:[1,0,0,"-"],spatialpyerror:[1,0,0,"-"],species:[1,0,0,"-"],vtkreader:[1,0,0,"-"]},"spatialpy.core.BoundaryCondition":{expression:[1,2,1,""]},"spatialpy.core.DataFunction":{map:[1,2,1,""]},"spatialpy.core.Domain":{add_point:[1,2,1,""],calculate_vol:[1,2,1,""],closest_vertex:[1,2,1,""],compile_prep:[1,2,1,""],coordinates:[1,2,1,""],create_2D_domain:[1,2,1,""],create_3D_domain:[1,2,1,""],distance_between_2_vertices:[1,2,1,""],fill_with_particles:[1,2,1,""],find_boundary_points:[1,2,1,""],find_h:[1,2,1,""],get_bounding_box:[1,2,1,""],get_domain_size:[1,2,1,""],get_num_voxels:[1,2,1,""],get_type_def:[1,2,1,""],get_vol:[1,2,1,""],import_meshio_object:[1,2,1,""],plot_types:[1,2,1,""],read_msh_file:[1,2,1,""],read_stochss_domain:[1,2,1,""],read_stochss_subdomain_file:[1,2,1,""],read_xml_mesh:[1,2,1,""],set_properties:[1,2,1,""]},"spatialpy.core.Geometry":{inside:[1,2,1,""]},"spatialpy.core.GeometryAll":{inside:[1,2,1,""]},"spatialpy.core.GeometryExterior":{inside:[1,2,1,""]},"spatialpy.core.GeometryInterior":{inside:[1,2,1,""]},"spatialpy.core.InitialCondition":{apply:[1,2,1,""]},"spatialpy.core.KDTree":{count_neighbors:[1,2,1,""],innernode:[1,1,1,""],leafnode:[1,1,1,""],node:[1,1,1,""],query:[1,2,1,""],query_ball_point:[1,2,1,""],query_ball_tree:[1,2,1,""],query_pairs:[1,2,1,""],sparse_distance_matrix:[1,2,1,""]},"spatialpy.core.Model":{add_boundary_condition:[1,2,1,""],add_data_function:[1,2,1,""],add_domain:[1,2,1,""],add_initial_condition:[1,2,1,""],add_parameter:[1,2,1,""],add_reaction:[1,2,1,""],add_species:[1,2,1,""],compile_prep:[1,2,1,""],delete_all_parameters:[1,2,1,""],delete_all_reactions:[1,2,1,""],delete_all_species:[1,2,1,""],delete_parameter:[1,2,1,""],delete_reaction:[1,2,1,""],delete_species:[1,2,1,""],get_all_parameters:[1,2,1,""],get_all_reactions:[1,2,1,""],get_all_species:[1,2,1,""],get_num_reactions:[1,2,1,""],get_num_species:[1,2,1,""],get_parameter:[1,2,1,""],get_reaction:[1,2,1,""],get_species:[1,2,1,""],reserved_names:[1,4,1,""],run:[1,2,1,""],sanitized_data_function_names:[1,2,1,""],sanitized_parameter_names:[1,2,1,""],sanitized_species_names:[1,2,1,""],set_timesteps:[1,2,1,""],special_characters:[1,4,1,""],timespan:[1,2,1,""],update_namespace:[1,2,1,""]},"spatialpy.core.OrderedDict":{clear:[1,2,1,""],copy:[1,2,1,""],fromkeys:[1,2,1,""],items:[1,2,1,""],keys:[1,2,1,""],move_to_end:[1,2,1,""],pop:[1,2,1,""],popitem:[1,2,1,""],setdefault:[1,2,1,""],update:[1,2,1,""],values:[1,2,1,""]},"spatialpy.core.PlaceInitialCondition":{apply:[1,2,1,""]},"spatialpy.core.Reaction":{add_product:[1,2,1,""],add_reactant:[1,2,1,""],annotate:[1,2,1,""],initialize:[1,2,1,""]},"spatialpy.core.Result":{export_to_csv:[1,2,1,""],export_to_vtk:[1,2,1,""],get_property:[1,2,1,""],get_species:[1,2,1,""],get_timespan:[1,2,1,""],plot_property:[1,2,1,""],plot_species:[1,2,1,""],read_step:[1,2,1,""]},"spatialpy.core.ScatterInitialCondition":{apply:[1,2,1,""]},"spatialpy.core.Species":{set_diffusion_coefficient:[1,2,1,""]},"spatialpy.core.UniformInitialCondition":{apply:[1,2,1,""]},"spatialpy.core.VTKReader":{get_array_name:[1,2,1,""],get_arrays:[1,2,1,""],get_num_points:[1,2,1,""],get_points:[1,2,1,""],read_file:[1,2,1,""],set_filename:[1,2,1,""]},"spatialpy.core.boundarycondition":{BoundaryCondition:[1,1,1,""]},"spatialpy.core.boundarycondition.BoundaryCondition":{expression:[1,2,1,""]},"spatialpy.core.cleanup":{cleanup_build_files:[1,5,1,""],cleanup_core_files:[1,5,1,""],cleanup_result_files:[1,5,1,""],cleanup_tempfiles:[1,5,1,""]},"spatialpy.core.datafunction":{DataFunction:[1,1,1,""]},"spatialpy.core.datafunction.DataFunction":{map:[1,2,1,""]},"spatialpy.core.domain":{Domain:[1,1,1,""]},"spatialpy.core.domain.Domain":{add_point:[1,2,1,""],calculate_vol:[1,2,1,""],closest_vertex:[1,2,1,""],compile_prep:[1,2,1,""],coordinates:[1,2,1,""],create_2D_domain:[1,2,1,""],create_3D_domain:[1,2,1,""],distance_between_2_vertices:[1,2,1,""],fill_with_particles:[1,2,1,""],find_boundary_points:[1,2,1,""],find_h:[1,2,1,""],get_bounding_box:[1,2,1,""],get_domain_size:[1,2,1,""],get_num_voxels:[1,2,1,""],get_type_def:[1,2,1,""],get_vol:[1,2,1,""],import_meshio_object:[1,2,1,""],plot_types:[1,2,1,""],read_msh_file:[1,2,1,""],read_stochss_domain:[1,2,1,""],read_stochss_subdomain_file:[1,2,1,""],read_xml_mesh:[1,2,1,""],set_properties:[1,2,1,""]},"spatialpy.core.geometry":{Geometry:[1,1,1,""],GeometryAll:[1,1,1,""],GeometryExterior:[1,1,1,""],GeometryInterior:[1,1,1,""]},"spatialpy.core.geometry.Geometry":{inside:[1,2,1,""]},"spatialpy.core.geometry.GeometryAll":{inside:[1,2,1,""]},"spatialpy.core.geometry.GeometryExterior":{inside:[1,2,1,""]},"spatialpy.core.geometry.GeometryInterior":{inside:[1,2,1,""]},"spatialpy.core.initialcondition":{InitialCondition:[1,1,1,""],PlaceInitialCondition:[1,1,1,""],ScatterInitialCondition:[1,1,1,""],UniformInitialCondition:[1,1,1,""]},"spatialpy.core.initialcondition.InitialCondition":{apply:[1,2,1,""]},"spatialpy.core.initialcondition.PlaceInitialCondition":{apply:[1,2,1,""]},"spatialpy.core.initialcondition.ScatterInitialCondition":{apply:[1,2,1,""]},"spatialpy.core.initialcondition.UniformInitialCondition":{apply:[1,2,1,""]},"spatialpy.core.model":{Model:[1,1,1,""],export_StochSS:[1,5,1,""]},"spatialpy.core.model.Model":{add_boundary_condition:[1,2,1,""],add_data_function:[1,2,1,""],add_domain:[1,2,1,""],add_initial_condition:[1,2,1,""],add_parameter:[1,2,1,""],add_reaction:[1,2,1,""],add_species:[1,2,1,""],compile_prep:[1,2,1,""],delete_all_parameters:[1,2,1,""],delete_all_reactions:[1,2,1,""],delete_all_species:[1,2,1,""],delete_parameter:[1,2,1,""],delete_reaction:[1,2,1,""],delete_species:[1,2,1,""],get_all_parameters:[1,2,1,""],get_all_reactions:[1,2,1,""],get_all_species:[1,2,1,""],get_num_reactions:[1,2,1,""],get_num_species:[1,2,1,""],get_parameter:[1,2,1,""],get_reaction:[1,2,1,""],get_species:[1,2,1,""],reserved_names:[1,4,1,""],run:[1,2,1,""],sanitized_data_function_names:[1,2,1,""],sanitized_parameter_names:[1,2,1,""],sanitized_species_names:[1,2,1,""],set_timesteps:[1,2,1,""],special_characters:[1,4,1,""],timespan:[1,2,1,""],update_namespace:[1,2,1,""]},"spatialpy.core.parameter":{Parameter:[1,1,1,""]},"spatialpy.core.reaction":{Reaction:[1,1,1,""]},"spatialpy.core.reaction.Reaction":{add_product:[1,2,1,""],add_reactant:[1,2,1,""],annotate:[1,2,1,""],initialize:[1,2,1,""]},"spatialpy.core.result":{Result:[1,1,1,""]},"spatialpy.core.result.Result":{export_to_csv:[1,2,1,""],export_to_vtk:[1,2,1,""],get_property:[1,2,1,""],get_species:[1,2,1,""],get_timespan:[1,2,1,""],plot_property:[1,2,1,""],plot_species:[1,2,1,""],read_step:[1,2,1,""]},"spatialpy.core.spatialpyerror":{BoundaryConditionError:[1,3,1,""],DataFunctionError:[1,3,1,""],DomainError:[1,3,1,""],GeometryError:[1,3,1,""],InitialConditionError:[1,3,1,""],ModelError:[1,3,1,""],ParameterError:[1,3,1,""],ReactionError:[1,3,1,""],ResultError:[1,3,1,""],SimulationError:[1,3,1,""],SimulationTimeout:[1,3,1,""],SpeciesError:[1,3,1,""],VTKReaderError:[1,3,1,""],VTKReaderIOError:[1,3,1,""]},"spatialpy.core.species":{Species:[1,1,1,""]},"spatialpy.core.species.Species":{set_diffusion_coefficient:[1,2,1,""]},"spatialpy.core.vtkreader":{VTKReader:[1,1,1,""]},"spatialpy.core.vtkreader.VTKReader":{get_array_name:[1,2,1,""],get_arrays:[1,2,1,""],get_num_points:[1,2,1,""],get_points:[1,2,1,""],read_file:[1,2,1,""],set_filename:[1,2,1,""]},"spatialpy.solvers":{build_expression:[2,0,0,"-"],solver:[2,0,0,"-"]},"spatialpy.solvers.build_expression":{BuildExpression:[2,1,1,""],CppConverter:[2,1,1,""],ExpressionConverter:[2,1,1,""],ExpressionResults:[2,1,1,""],PythonConverter:[2,1,1,""]},"spatialpy.solvers.build_expression.BuildExpression":{ValidationVisitor:[2,1,1,""],getexpr_cpp:[2,2,1,""],getexpr_python:[2,2,1,""],map_operator:[2,2,1,""],operator_map:[2,4,1,""],validate:[2,2,1,""],with_blacklist:[2,2,1,""],with_namespace:[2,2,1,""]},"spatialpy.solvers.build_expression.BuildExpression.ValidationVisitor":{visit_Assign:[2,2,1,""],visit_BinOp:[2,2,1,""],visit_BoolOp:[2,2,1,""],visit_Call:[2,2,1,""],visit_Compare:[2,2,1,""],visit_Name:[2,2,1,""],visit_UnaryOp:[2,2,1,""]},"spatialpy.solvers.build_expression.CppConverter":{CppExpressionTransformer:[2,1,1,""],get_str:[2,2,1,""],visit_And:[2,2,1,""],visit_Or:[2,2,1,""]},"spatialpy.solvers.build_expression.CppConverter.CppExpressionTransformer":{visit_BinOp:[2,2,1,""]},"spatialpy.solvers.build_expression.ExpressionConverter":{convert_str:[2,2,1,""],get_str:[2,2,1,""],parse_comparison:[2,2,1,""],parse_logical:[2,2,1,""],parse_operator:[2,2,1,""],visit_Add:[2,2,1,""],visit_BinOp:[2,2,1,""],visit_BoolOp:[2,2,1,""],visit_Bytes:[2,2,1,""],visit_Call:[2,2,1,""],visit_Compare:[2,2,1,""],visit_Constant:[2,2,1,""],visit_Div:[2,2,1,""],visit_Ellipsis:[2,2,1,""],visit_Eq:[2,2,1,""],visit_Gt:[2,2,1,""],visit_GtE:[2,2,1,""],visit_Lt:[2,2,1,""],visit_LtE:[2,2,1,""],visit_Mult:[2,2,1,""],visit_Name:[2,2,1,""],visit_NameConstant:[2,2,1,""],visit_NotEq:[2,2,1,""],visit_Num:[2,2,1,""],visit_Pow:[2,2,1,""],visit_Str:[2,2,1,""],visit_Sub:[2,2,1,""],visit_USub:[2,2,1,""],visit_UnaryOp:[2,2,1,""]},"spatialpy.solvers.build_expression.PythonConverter":{visit_And:[2,2,1,""],visit_Or:[2,2,1,""]},"spatialpy.solvers.solver":{Solver:[2,1,1,""]},"spatialpy.solvers.solver.Solver":{compile:[2,2,1,""],run:[2,2,1,""]},"spatialpy.stochss":{stochss_export:[3,0,0,"-"]},"spatialpy.stochss.stochss_export":{"export":[3,5,1,""]},spatialpy:{core:[1,0,0,"-"],solvers:[2,0,0,"-"],stochss:[3,0,0,"-"]}},objnames:{"0":["py","module","Python module"],"1":["py","class","Python class"],"2":["py","method","Python method"],"3":["py","exception","Python exception"],"4":["py","attribute","Python attribute"],"5":["py","function","Python function"]},objtypes:{"0":"py:module","1":"py:class","2":"py:method","3":"py:exception","4":"py:attribute","5":"py:function"},terms:{"0":[1,2],"04":1,"1":[1,2],"10":1,"10000":1,"11":1,"13":1,"14142136":1,"15":1,"1999":1,"1d":1,"2":1,"20":1,"2000":1,"2015":1,"2019":[0,1,2,3],"2022":[0,1,2,3],"2d":1,"2e9":1,"2r01eb014877":4,"3":[0,1,2,3,4],"300":1,"3d":[1,4],"4":1,"5":1,"500":1,"6":1,"600":1,"7":1,"8":1,"800":1,"9":1,"abstract":[1,2],"byte":2,"case":1,"class":[1,2],"default":1,"do":1,"export":[1,3],"float":1,"function":[1,2],"import":1,"int":[1,2],"long":1,"new":[1,2],"public":[0,1,2,3,4],"return":[1,2,3],"short":4,"static":[1,4],"super":2,"switch":1,"true":[1,2],A:[0,1,2,3,4],And:2,By:[1,2],FOR:[0,1,2,3],For:[1,4],If:[0,1,2,3,4],In:1,It:1,No:1,Not:[1,2],Or:2,The:[1,2,4],These:1,Will:1,_ast:2,abl:1,about:1,absolut:1,acceler:1,accept:2,across:1,action:1,ad:[1,2],add:[1,2],add_boundary_condit:1,add_data_funct:1,add_domain:1,add_initial_condit:1,add_paramet:1,add_point:1,add_product:1,add_react:1,add_speci:1,addit:[1,2],addition:[1,2],addtion:[1,2],advect:[0,1,2,3,4],against:[1,2],algorithm:[1,4],align:1,all:[1,2],allow:2,along:[0,1,2,3],alreadi:1,also:[1,2,4],alwai:2,amount:1,an:[1,2,4],ani:[0,1,2,3,4],anim:1,animation_attribut:1,animation_opt:1,annot:1,append:2,appli:1,approxim:1,ar:[1,2],argument:1,arrai:1,arraid:1,array_lik:1,articl:4,artifici:1,asarrai:1,ascii:1,assign:[1,2],associ:1,assum:2,ast:2,attempt:1,attribut:1,author:4,auto_plai:1,automat:[1,2],autorang:1,avail:[1,2,4],averag:1,axi:1,background:1,bare:2,base:[1,2,4],bass:1,becaus:1,becom:1,been:1,begin:1,behavior:2,best:1,between:[1,2],binari:1,binboolopop:2,binop:2,biochem:1,bitand:2,bitor:2,bitxor:2,blacklist:2,blob:1,blue:1,bodi:1,bogu:1,bool:[1,2,3],boolop:2,both:[1,4],bottom:1,bound:1,bound_cond:1,boundari:1,boundarycondit:0,boundaryconditionerror:1,box:1,branch:1,brian:4,browser:1,brute:1,bugn:1,build:[1,2,4],build_dir:1,build_express:0,buildexpress:2,built:2,bulk:1,bupu:1,c0:1,c:[0,1,2,3],c_:1,calcul:1,calculate_vol:1,call:[1,2],can:[0,1,2,3,4],caus:2,cdn:1,cell:1,charact:1,chart:1,check:[1,2],chemic:1,choos:1,chosen:1,circumradiu:1,ckdtree:1,classmethod:[1,2],cleanup:0,cleanup_build_fil:1,cleanup_core_fil:1,cleanup_result_fil:1,cleanup_tempfil:1,clear:1,close:1,closest:1,closest_vertex:1,cloud:1,code:[1,4],coeffic:1,coeffici:1,collabor:1,collect:1,colormap:1,column:1,com:[1,4],combin:1,compar:[1,2],comparison:2,compil:[1,2],compile_prep:1,comput:1,conain:1,conatain:1,concentr:1,condit:[1,2],config:1,connect:1,consid:1,consol:2,constant:[1,2],construct:1,constructor:2,constuct:1,contact:4,contain:[1,2],content:4,context:2,contian:1,continu:4,convers:2,convert:[1,2,3],convert_str:2,convet:2,coodin:1,coordin:1,copi:[0,1,2,3],copy_numb:1,copyright:[0,1,2,3],core:[0,4],corner:1,correl:1,correspond:[1,2],could:[1,2],count:1,count_neighbor:1,coupl:1,cppconvert:2,cppexpressiontransform:2,creat:[1,2],create_2d_domain:1,create_3d_domain:1,csv:1,current:[1,2],custom:1,cylind:4,cython:1,d:1,data:[1,2],data_funct:1,datafunct:0,datafunctionerror:1,debug:[1,2],debug_level:[1,2],debugg:2,defer:1,defin:[1,2],definit:1,delete_all_paramet:1,delete_all_react:1,delete_all_speci:1,delete_paramet:1,delete_react:1,delete_speci:1,deltai:1,deltax:1,deltaz:1,demo:4,densiti:1,dependency_graph:1,describ:[1,4],descript:1,detail:[0,1,2,3],determinist:[0,1,2,3,4],determinst:1,develop:[0,1,2,3,4],diamet:1,dict:[1,2],dictionari:[1,2],differ:[1,2],diffus:[0,1,2,3,4],diffusion_coeffici:1,dimens:1,dimension:1,direct:1,directli:[1,4],directori:1,displai:1,dissip:4,distanc:1,distance_between_2_vertic:1,distance_upper_bound:1,distribut:[0,1,2,3],div:2,doe:1,doesn:1,dok_matrix:1,dolfin:1,dom:1,domain:[0,4],domainerror:1,domn:1,doubl:1,download:1,dr:4,draw:1,drawert:4,drawn:1,dtype:1,duplic:2,durat:1,dure:[1,2],dynam:4,e:1,each:1,edg:1,edit:1,effect:1,effici:1,either:1,element:1,ellipsi:2,els:1,embed:4,empti:2,end:1,engin:1,ensur:[1,2],enterpris:1,entir:1,entireti:1,ep:1,eq:2,equival:2,error:1,estim:1,euclidean:1,evalu:1,evaul:1,even:[0,1,2,3],evenli:1,exampl:1,exce:1,exceed:[1,2],except:1,execut:[1,2],exist:1,expect:[1,2],explor:1,export_stochss:1,export_to_csv:1,export_to_vtk:1,expres:2,express:[1,2],expressionconvert:2,expressionresult:2,extens:1,extra:1,f:1,f_durat:1,fail:2,fals:[1,2,3],far:2,faster:1,featur:4,fenic:1,fifo:1,figur:1,figure_or_data:1,file:1,filenam:[1,3],fill:[1,4],fill_with_particl:1,find:[1,4],find_boundary_point:1,find_h:1,first:[1,2],fit:[0,1,2,3],fix:1,flag:[1,2],flatten:1,flight:2,floordiv:2,flow:4,fluid:[1,4],folder_nam:1,follow:[1,2],forc:1,form:[1,4],format:1,forward:2,found:[1,2,4],foundat:[0,1,2,3],frame:[1,4],free:[0,1,2,3],frequenc:1,from:[1,2],fromkei:1,fund:4,further:1,furthest:1,g:1,gain:1,gdbgui:2,gener:[0,1,2,3,4],geometr:1,geometri:0,geometry_ivar:1,geometryal:1,geometryerror:1,geometryexterior:1,geometryinterior:1,get:[1,2],get_all_paramet:1,get_all_react:1,get_all_speci:1,get_arrai:1,get_array_nam:1,get_bounding_box:1,get_domain_s:1,get_num_point:1,get_num_react:1,get_num_speci:1,get_num_voxel:1,get_paramet:1,get_point:1,get_properti:1,get_react:1,get_speci:1,get_str:2,get_timespan:1,get_type_def:1,get_vol:1,getexpr_:2,getexpr_cpp:2,getexpr_python:2,github:[1,4],given:[1,2],gmsh:1,gnbu:1,gnu:[0,1,2,3,4],gprof:2,grai:1,grant:4,granular:2,graph:1,graph_obj:1,graph_refer:1,graviti:[1,4],greater:1,greatest:1,green:1,grei:1,gt:2,gte:2,guarante:1,h:1,ha:[1,4],hand:2,handl:2,happen:[1,2],hasn:[1,2],have:[0,1,2,3],height:1,held:1,help:1,here:1,high:1,higher:1,highest:1,hit:1,hope:[0,1,2,3],how:[1,2,4],http:[0,1,2,3,4],hybrid:4,hyperrectangl:1,i:1,id:1,idea:1,ideal:2,idempot:1,identifi:[1,2],idx:1,ignor:1,imag:1,image_height:1,image_width:1,immobil:1,implemenet:1,implement:[1,2],impli:[0,1,2,3],implicit:1,import_meshio_object:1,imposs:2,inch:1,incid:1,includ:1,included_types_list:1,incompat:1,increas:1,increment:2,indec:1,indeci:1,index:[1,4],indic:[1,2],inf:1,infer:2,infin:1,infinit:1,info:1,inform:[1,2,4],inherit:2,init_cond:1,init_notebook_mod:1,initailcondit:1,initi:1,initialcondit:0,initialconditionerror:1,inlin:1,innernod:1,input:1,insert:1,insid:1,instanc:[1,2],instead:1,integ:1,intend:4,intern:1,internet:1,interv:1,invalid:[1,2],invalid_:2,invalid_nam:2,invalid_oper:2,io:1,iplot:1,ipython:1,is_valid:2,item:[1,2],iter:1,its:1,j:1,jacob:4,jet:1,jpeg:1,js:1,json:1,jupyt:1,k:1,kd:1,kdtree:1,kei:[1,2],keyerror:1,keyword:1,kill:1,kth:1,kwarg:1,lack:1,lagrangian:4,larg:1,larger:1,last:[1,2],later:[1,2],latest:4,layout:1,leafnod:1,leafsiz:1,learn:1,leav:1,left:2,legaci:1,length:1,less:1,level:[1,2],li:4,librari:1,licens:[0,1,2,3,4],lifo:1,like:1,limit:1,link:1,link_text:1,list:[1,2],listofparamet:1,listofreact:1,listofspeci:1,listoftyp:1,load:1,local:1,locat:1,logic:2,look:1,lookup:1,lower:1,lowest:1,lshift:2,lt:2,lte:2,ly:1,m:1,mai:1,main:4,make:1,manag:2,maneewongvatana:1,manhattan:1,mani:[1,2],map:[1,2],map_oper:2,margin:1,mark:1,mass:1,master:1,mathemat:[1,2],matmult:2,matplotlib:1,matrix:1,max:1,max_dist:1,maximum:[1,2],mean:1,measur:1,meet:1,megabyt:1,merchant:[0,1,2,3],mesh:1,mesh_obj:1,meshio:1,messag:1,meta:1,method:[1,2],mgrid:1,midpoint:1,min:1,minim:1,minimum:1,minkowski:1,miss:1,mod:2,model:[0,2,3,4],modelerror:1,modelname_mesh:1,modelname_species_:1,modifi:[0,1,2,3],modul:4,molecul:1,moor:1,more:[0,1,2,3,4],most:[1,2],mount:1,move:1,move_to_end:1,movement:1,msh:1,much:1,mult:2,multipl:[1,2],must:1,n:1,name:[1,2],nameconst:2,namespac:[1,2],ndarrai:1,nearbi:1,nearby_point:1,nearer:1,nearest:1,necessarili:1,need:[1,4],neg:1,neighbor:1,nih:4,node:[1,2],nodetransform:2,nodevisitor:2,non:1,none:[1,2,3],nonneg:1,norm:1,notat:1,note:[1,2],notebook:[1,4],noteq:2,np:1,nsm:4,nu:1,num:2,num_step:1,number:[1,2],number_of_thread:[1,2],number_of_trajectori:[1,2],numpi:1,numpoint:1,nx:1,ny:1,nz:1,o:1,obj:1,object:[1,2],od:1,off:1,offlin:1,omit:1,on_boundari:1,one:[1,2],onli:[1,2],onlin:1,open:1,oper:2,operator_map:2,option:1,orang:1,order:1,ordereddict:1,org:[0,1,2,3],origin:2,orrd:1,other:[1,2],otherwis:[1,2],our:4,out:[1,4],outdat:1,output:[1,2],output_interv:1,over:1,overflow:1,overrid:2,overridden:1,p0:1,p:1,p_ndx:1,packag:4,page:[1,4],pair:1,param:1,param_nam:1,param_obj:1,paramet:[0,2,3],parametererror:1,paramt:1,parent:1,pars:2,parse_comparison:2,parse_log:2,parse_oper:2,part:1,partcil:1,particip:1,particl:[1,4],particular:[0,1,2,3],pass:[1,2],path:[1,3],pdf:1,perform:1,petzold:4,physic:4,pii:4,pixel:1,place:1,placeinitialcondit:1,platform:1,pleas:[1,4],plot:1,plot_imag:1,plot_properti:1,plot_speci:1,plot_typ:1,plotli:1,plotly3:1,plt:1,pname:1,png:1,point:1,pop:[1,2],popitem:1,popul:1,posit:1,positon:1,pow:2,pre:2,predict:1,preper:1,present:[1,2],pressur:1,print:[1,2],problem:[0,1,2,3,4],process:2,produc:1,product:1,profil:[1,2],program:[0,1,2,3],project:4,propens:1,propensity_funct:1,properti:[1,2],property_nam:1,proprti:1,prove:4,provid:[1,2,4],prune:1,pt:1,publish:[0,1,2,3],pubu:1,pubugn:1,pull:1,purd:1,purpl:1,purpos:[0,1,2,3],put:1,px:1,py:1,pypi:4,pyplot:1,python:[0,1,2,3,4],pythonconvert:2,pyurdm:4,queri:1,query_ball_point:1,query_ball_tre:1,query_pair:1,question:4,quick:1,r:1,radii:1,radiu:1,rais:[1,2],random:[1,2],randomli:1,rang:1,rapidli:1,rate:1,rather:1,ravel:1,raw:1,rdme:4,rdpu:1,reac:1,reach:1,react_nam:1,react_obj:1,reactant:1,reaction:[0,2,3,4],reactionerror:1,read:1,read_fil:1,read_msh_fil:1,read_step:1,read_stochss_domain:1,read_stochss_subdomain_fil:1,read_xml_mesh:1,reader:1,real:1,reason:1,receiv:[0,1,2,3],recent:[1,2],recurs:1,red:1,redistribut:[0,1,2,3],reevalu:1,refer:1,referenc:1,regardless:1,region:1,regist:4,registr:4,reject:2,rememb:1,remov:1,replac:4,repres:1,represent:[1,2],request:1,requir:1,reserved_nam:1,resolut:1,restrict:1,restrict_to:1,result:[0,2],result_dir:1,resulterror:1,resultserror:1,retreiv:1,retriev:1,return_plotly_figur:1,return_stochss_model:[1,3],rh:1,rho0:1,rho:1,right:[1,2],rname:1,rshift:2,rtype:2,rule:1,run:[1,2],runtimeerror:1,rvalu:2,s0021999118307101:4,s:[1,4],same:1,sampl:1,sanit:2,sanitized_data_function_nam:1,sanitized_parameter_nam:1,sanitized_species_nam:1,save:1,scalar:1,scatter:1,scatterinitialcondit:1,scienc:[1,4],sciencedirect:4,scipi:1,sdpd:[1,4],search:[1,4],second:[1,2],see:[0,1,2,3,4],seed:[1,2],self:[1,2],separ:1,sequenc:1,seri:[1,2],set:[1,2],set_diffusion_coeffici:1,set_filenam:1,set_properti:1,set_timestep:1,setdefault:1,setrecursionlimit:1,setter:1,shallow:1,shape:1,should:[0,1,2,3],show:1,show_link:1,significantli:1,simlat:1,simplifi:1,simul:[0,1,2,3,4],simulationerror:[1,2],simulationtimeout:[1,2],sinc:1,singl:[1,2],size:1,slide:1,smaller:1,smdl:1,smooth:4,sname:1,so:[1,2],softwar:[0,1,2,3,4],solver:[0,1,4],some:1,sort:1,sound:1,sourc:[1,2,3,4],space:1,spactialpi:2,span:1,spars:1,sparse_distance_matrix:1,spatailpy_model:1,spatial:[0,1,2,3,4],spatialpy_build:1,spatialpy_model:[1,3],spatialpy_result:1,spatialpyerror:0,spatialpysolv:1,spayialpi:1,speci:0,special_charact:1,species_nam:1,species_object:1,specieserror:1,specif:1,specifi:1,speed:1,split:1,split_dim:1,src:1,ssa:1,sssa:4,start:[1,2,4],statement:2,statist:1,step:1,step_num:1,stochast:[0,1,2,3,4],stochss:[0,1,4],stochss_export:0,stoichiometr:1,stoichiometri:1,store:1,str:[1,2,3],string:[1,2],struct:2,structur:1,style:1,sub:2,subclass:[1,2],subdomain:1,submodul:0,subpackag:4,substanti:1,substitut:2,success:1,suggest:4,sum:1,suppli:1,support:[1,4],sure:1,svg:1,sy:1,symbol:2,syntax:2,syntaxerror:2,system:[1,4],t:[1,2],t_durat:1,t_ndx:1,t_ndx_list:1,t_val:1,tag:1,take:1,target:[1,2],tempfil:1,term:[0,1,2,3],tetrahedron:1,text:1,than:1,them:1,thi:[0,1,2,3,4],thin:1,those:1,thread:[1,2],time:[1,2],time_span:1,timeout:[1,2],timepoint:1,timespan:1,timestep:1,timestep_s:1,titl:1,token:2,total:1,toth:1,trace:1,tracker:4,trajectori:[1,2],transit:1,travers:1,tree:[1,2],triangl:1,trigger:2,tspan:1,tupl:1,two:[1,2],txt:1,type:[1,2],type_id:1,u0:1,unabl:1,unaryop:2,under:[0,1,2,3,4],uniform:1,uniforminitialcondit:1,union:1,unit:1,univers:2,unnecessari:1,up:1,updat:1,update_namespac:1,upload:1,upon:1,upper:1,urdm:1,us:[0,1,2,3,4],use_matplotlib:1,user:[1,4],usual:1,usub:2,util:1,v1:1,v:1,valid:[1,2],validationvisitor:2,valu:[1,2],vari:1,vector:1,verbos:2,veri:1,version:[0,1,2,3,4],vertex:1,vertic:1,view:1,viewer:1,viscos:1,visit:2,visit_add:2,visit_and:2,visit_assign:2,visit_binop:2,visit_boolop:2,visit_byt:2,visit_cal:2,visit_compar:2,visit_const:2,visit_div:2,visit_ellipsi:2,visit_eq:2,visit_gt:2,visit_lt:2,visit_mult:2,visit_nam:2,visit_nameconst:2,visit_noteq:2,visit_num:2,visit_or:2,visit_pow:2,visit_str:2,visit_sub:2,visit_unaryop:2,visit_usub:2,visitor:2,vol:1,volum:1,voxel:1,vtk:1,vtkreader:0,vtkreadererror:1,vtkreaderioerror:1,wa:1,want:1,warranti:[0,1,2,3],we:[1,4],web:1,webp:1,weir:4,well:2,were:[1,2],what:2,when:[1,2],where:1,whether:[1,2,3],which:[1,2],whose:1,width:1,with_blacklist:2,with_namespac:2,within:1,without:[0,1,2,3],word:1,work:1,wp:1,write:1,write_imag:1,written:1,www:[0,1,2,3,4],x1:1,x2:1,x:1,xaxi:1,xlim:1,xmax:1,xmin:1,xml:1,y:1,yaxi:1,yet:1,yi:4,ylgn:1,ylgnbu:1,ylim:1,ylorbr:1,ylorrd:1,ymax:1,ymin:1,you:[0,1,2,3,4],your:[1,4],z:1,zero:1,zeroth:1,zip:1,zlim:1,zmax:1,zmin:1},titles:["spatialpy package","spatialpy.core package","spatialpy.solvers package","spatialpy.stochss package","Documentation for SpatialPy 1.0"],titleterms:{"0":4,"1":4,api:4,boundarycondit:1,build_express:2,cleanup:1,content:[0,1,2,3],copi:4,core:1,datafunct:1,document:4,domain:1,exampl:4,geometri:1,get:4,indic:4,initialcondit:1,issu:4,model:1,modul:[0,1,2,3],packag:[0,1,2,3],paramet:1,reaction:1,refer:4,report:4,result:1,solver:2,spatialpi:[0,1,2,3,4],spatialpyerror:1,speci:1,stochss:3,stochss_export:3,submodul:[1,2,3],subpackag:0,tabl:4,vtkreader:1}})
\ No newline at end of file
+Search.setIndex({docnames:["classes/spatialpy","classes/spatialpy.core","classes/spatialpy.solvers","classes/spatialpy.stochss","index"],envversion:{"sphinx.domains.c":2,"sphinx.domains.changeset":1,"sphinx.domains.citation":1,"sphinx.domains.cpp":4,"sphinx.domains.index":1,"sphinx.domains.javascript":2,"sphinx.domains.math":2,"sphinx.domains.python":3,"sphinx.domains.rst":2,"sphinx.domains.std":2,"sphinx.ext.todo":2,"sphinx.ext.viewcode":1,sphinx:56},filenames:["classes/spatialpy.rst","classes/spatialpy.core.rst","classes/spatialpy.solvers.rst","classes/spatialpy.stochss.rst","index.rst"],objects:{"":{spatialpy:[0,0,0,"-"]},"spatialpy.core":{BoundaryCondition:[1,1,1,""],BoundaryConditionError:[1,3,1,""],DataFunction:[1,1,1,""],DataFunctionError:[1,3,1,""],Domain:[1,1,1,""],DomainError:[1,3,1,""],Geometry:[1,1,1,""],GeometryAll:[1,1,1,""],GeometryError:[1,3,1,""],GeometryExterior:[1,1,1,""],GeometryInterior:[1,1,1,""],InitialCondition:[1,1,1,""],InitialConditionError:[1,3,1,""],KDTree:[1,1,1,""],Model:[1,1,1,""],ModelError:[1,3,1,""],OrderedDict:[1,1,1,""],Parameter:[1,1,1,""],ParameterError:[1,3,1,""],PlaceInitialCondition:[1,1,1,""],Reaction:[1,1,1,""],ReactionError:[1,3,1,""],Result:[1,1,1,""],ResultError:[1,3,1,""],ScatterInitialCondition:[1,1,1,""],SimulationError:[1,3,1,""],SimulationTimeout:[1,3,1,""],Species:[1,1,1,""],SpeciesError:[1,3,1,""],UniformInitialCondition:[1,1,1,""],VTKReader:[1,1,1,""],VTKReaderError:[1,3,1,""],VTKReaderIOError:[1,3,1,""],boundarycondition:[1,0,0,"-"],cleanup:[1,0,0,"-"],cleanup_build_files:[1,5,1,""],cleanup_core_files:[1,5,1,""],cleanup_result_files:[1,5,1,""],cleanup_tempfiles:[1,5,1,""],combinations:[1,1,1,""],datafunction:[1,0,0,"-"],domain:[1,0,0,"-"],geometry:[1,0,0,"-"],init_notebook_mode:[1,5,1,""],initialcondition:[1,0,0,"-"],iplot:[1,5,1,""],model:[1,0,0,"-"],parameter:[1,0,0,"-"],reaction:[1,0,0,"-"],result:[1,0,0,"-"],spatialpyerror:[1,0,0,"-"],species:[1,0,0,"-"],vtkreader:[1,0,0,"-"]},"spatialpy.core.BoundaryCondition":{expression:[1,2,1,""]},"spatialpy.core.DataFunction":{map:[1,2,1,""]},"spatialpy.core.Domain":{add_point:[1,2,1,""],calculate_vol:[1,2,1,""],closest_vertex:[1,2,1,""],compile_prep:[1,2,1,""],coordinates:[1,2,1,""],create_2D_domain:[1,2,1,""],create_3D_domain:[1,2,1,""],distance_between_2_vertices:[1,2,1,""],fill_with_particles:[1,2,1,""],find_boundary_points:[1,2,1,""],find_h:[1,2,1,""],get_bounding_box:[1,2,1,""],get_domain_size:[1,2,1,""],get_num_voxels:[1,2,1,""],get_type_def:[1,2,1,""],get_vol:[1,2,1,""],import_meshio_object:[1,2,1,""],plot_types:[1,2,1,""],read_msh_file:[1,2,1,""],read_stochss_domain:[1,2,1,""],read_stochss_subdomain_file:[1,2,1,""],read_xml_mesh:[1,2,1,""],set_properties:[1,2,1,""]},"spatialpy.core.Geometry":{inside:[1,2,1,""]},"spatialpy.core.GeometryAll":{inside:[1,2,1,""]},"spatialpy.core.GeometryExterior":{inside:[1,2,1,""]},"spatialpy.core.GeometryInterior":{inside:[1,2,1,""]},"spatialpy.core.InitialCondition":{apply:[1,2,1,""]},"spatialpy.core.KDTree":{count_neighbors:[1,2,1,""],innernode:[1,1,1,""],leafnode:[1,1,1,""],node:[1,1,1,""],query:[1,2,1,""],query_ball_point:[1,2,1,""],query_ball_tree:[1,2,1,""],query_pairs:[1,2,1,""],sparse_distance_matrix:[1,2,1,""]},"spatialpy.core.Model":{add_boundary_condition:[1,2,1,""],add_data_function:[1,2,1,""],add_domain:[1,2,1,""],add_initial_condition:[1,2,1,""],add_parameter:[1,2,1,""],add_reaction:[1,2,1,""],add_species:[1,2,1,""],compile_prep:[1,2,1,""],delete_all_parameters:[1,2,1,""],delete_all_reactions:[1,2,1,""],delete_all_species:[1,2,1,""],delete_parameter:[1,2,1,""],delete_reaction:[1,2,1,""],delete_species:[1,2,1,""],get_all_parameters:[1,2,1,""],get_all_reactions:[1,2,1,""],get_all_species:[1,2,1,""],get_num_reactions:[1,2,1,""],get_num_species:[1,2,1,""],get_parameter:[1,2,1,""],get_reaction:[1,2,1,""],get_species:[1,2,1,""],reserved_names:[1,4,1,""],run:[1,2,1,""],sanitized_data_function_names:[1,2,1,""],sanitized_parameter_names:[1,2,1,""],sanitized_species_names:[1,2,1,""],set_timesteps:[1,2,1,""],special_characters:[1,4,1,""],timespan:[1,2,1,""],update_namespace:[1,2,1,""]},"spatialpy.core.OrderedDict":{clear:[1,2,1,""],copy:[1,2,1,""],fromkeys:[1,2,1,""],items:[1,2,1,""],keys:[1,2,1,""],move_to_end:[1,2,1,""],pop:[1,2,1,""],popitem:[1,2,1,""],setdefault:[1,2,1,""],update:[1,2,1,""],values:[1,2,1,""]},"spatialpy.core.PlaceInitialCondition":{apply:[1,2,1,""]},"spatialpy.core.Reaction":{add_product:[1,2,1,""],add_reactant:[1,2,1,""],annotate:[1,2,1,""],initialize:[1,2,1,""]},"spatialpy.core.Result":{export_to_csv:[1,2,1,""],export_to_vtk:[1,2,1,""],get_property:[1,2,1,""],get_species:[1,2,1,""],get_timespan:[1,2,1,""],plot_property:[1,2,1,""],plot_species:[1,2,1,""],read_step:[1,2,1,""]},"spatialpy.core.ScatterInitialCondition":{apply:[1,2,1,""]},"spatialpy.core.Species":{set_diffusion_coefficient:[1,2,1,""]},"spatialpy.core.UniformInitialCondition":{apply:[1,2,1,""]},"spatialpy.core.VTKReader":{get_array_name:[1,2,1,""],get_arrays:[1,2,1,""],get_num_points:[1,2,1,""],get_points:[1,2,1,""],read_file:[1,2,1,""],set_filename:[1,2,1,""]},"spatialpy.core.boundarycondition":{BoundaryCondition:[1,1,1,""]},"spatialpy.core.boundarycondition.BoundaryCondition":{expression:[1,2,1,""]},"spatialpy.core.cleanup":{cleanup_build_files:[1,5,1,""],cleanup_core_files:[1,5,1,""],cleanup_result_files:[1,5,1,""],cleanup_tempfiles:[1,5,1,""]},"spatialpy.core.datafunction":{DataFunction:[1,1,1,""]},"spatialpy.core.datafunction.DataFunction":{map:[1,2,1,""]},"spatialpy.core.domain":{Domain:[1,1,1,""]},"spatialpy.core.domain.Domain":{add_point:[1,2,1,""],calculate_vol:[1,2,1,""],closest_vertex:[1,2,1,""],compile_prep:[1,2,1,""],coordinates:[1,2,1,""],create_2D_domain:[1,2,1,""],create_3D_domain:[1,2,1,""],distance_between_2_vertices:[1,2,1,""],fill_with_particles:[1,2,1,""],find_boundary_points:[1,2,1,""],find_h:[1,2,1,""],get_bounding_box:[1,2,1,""],get_domain_size:[1,2,1,""],get_num_voxels:[1,2,1,""],get_type_def:[1,2,1,""],get_vol:[1,2,1,""],import_meshio_object:[1,2,1,""],plot_types:[1,2,1,""],read_msh_file:[1,2,1,""],read_stochss_domain:[1,2,1,""],read_stochss_subdomain_file:[1,2,1,""],read_xml_mesh:[1,2,1,""],set_properties:[1,2,1,""]},"spatialpy.core.geometry":{Geometry:[1,1,1,""],GeometryAll:[1,1,1,""],GeometryExterior:[1,1,1,""],GeometryInterior:[1,1,1,""]},"spatialpy.core.geometry.Geometry":{inside:[1,2,1,""]},"spatialpy.core.geometry.GeometryAll":{inside:[1,2,1,""]},"spatialpy.core.geometry.GeometryExterior":{inside:[1,2,1,""]},"spatialpy.core.geometry.GeometryInterior":{inside:[1,2,1,""]},"spatialpy.core.initialcondition":{InitialCondition:[1,1,1,""],PlaceInitialCondition:[1,1,1,""],ScatterInitialCondition:[1,1,1,""],UniformInitialCondition:[1,1,1,""]},"spatialpy.core.initialcondition.InitialCondition":{apply:[1,2,1,""]},"spatialpy.core.initialcondition.PlaceInitialCondition":{apply:[1,2,1,""]},"spatialpy.core.initialcondition.ScatterInitialCondition":{apply:[1,2,1,""]},"spatialpy.core.initialcondition.UniformInitialCondition":{apply:[1,2,1,""]},"spatialpy.core.model":{Model:[1,1,1,""],export_StochSS:[1,5,1,""]},"spatialpy.core.model.Model":{add_boundary_condition:[1,2,1,""],add_data_function:[1,2,1,""],add_domain:[1,2,1,""],add_initial_condition:[1,2,1,""],add_parameter:[1,2,1,""],add_reaction:[1,2,1,""],add_species:[1,2,1,""],compile_prep:[1,2,1,""],delete_all_parameters:[1,2,1,""],delete_all_reactions:[1,2,1,""],delete_all_species:[1,2,1,""],delete_parameter:[1,2,1,""],delete_reaction:[1,2,1,""],delete_species:[1,2,1,""],get_all_parameters:[1,2,1,""],get_all_reactions:[1,2,1,""],get_all_species:[1,2,1,""],get_num_reactions:[1,2,1,""],get_num_species:[1,2,1,""],get_parameter:[1,2,1,""],get_reaction:[1,2,1,""],get_species:[1,2,1,""],reserved_names:[1,4,1,""],run:[1,2,1,""],sanitized_data_function_names:[1,2,1,""],sanitized_parameter_names:[1,2,1,""],sanitized_species_names:[1,2,1,""],set_timesteps:[1,2,1,""],special_characters:[1,4,1,""],timespan:[1,2,1,""],update_namespace:[1,2,1,""]},"spatialpy.core.parameter":{Parameter:[1,1,1,""]},"spatialpy.core.reaction":{Reaction:[1,1,1,""]},"spatialpy.core.reaction.Reaction":{add_product:[1,2,1,""],add_reactant:[1,2,1,""],annotate:[1,2,1,""],initialize:[1,2,1,""]},"spatialpy.core.result":{Result:[1,1,1,""]},"spatialpy.core.result.Result":{export_to_csv:[1,2,1,""],export_to_vtk:[1,2,1,""],get_property:[1,2,1,""],get_species:[1,2,1,""],get_timespan:[1,2,1,""],plot_property:[1,2,1,""],plot_species:[1,2,1,""],read_step:[1,2,1,""]},"spatialpy.core.spatialpyerror":{BoundaryConditionError:[1,3,1,""],DataFunctionError:[1,3,1,""],DomainError:[1,3,1,""],GeometryError:[1,3,1,""],InitialConditionError:[1,3,1,""],ModelError:[1,3,1,""],ParameterError:[1,3,1,""],ReactionError:[1,3,1,""],ResultError:[1,3,1,""],SimulationError:[1,3,1,""],SimulationTimeout:[1,3,1,""],SpeciesError:[1,3,1,""],VTKReaderError:[1,3,1,""],VTKReaderIOError:[1,3,1,""]},"spatialpy.core.species":{Species:[1,1,1,""]},"spatialpy.core.species.Species":{set_diffusion_coefficient:[1,2,1,""]},"spatialpy.core.vtkreader":{VTKReader:[1,1,1,""]},"spatialpy.core.vtkreader.VTKReader":{get_array_name:[1,2,1,""],get_arrays:[1,2,1,""],get_num_points:[1,2,1,""],get_points:[1,2,1,""],read_file:[1,2,1,""],set_filename:[1,2,1,""]},"spatialpy.solvers":{build_expression:[2,0,0,"-"],solver:[2,0,0,"-"]},"spatialpy.solvers.build_expression":{BuildExpression:[2,1,1,""],CppConverter:[2,1,1,""],ExpressionConverter:[2,1,1,""],ExpressionResults:[2,1,1,""],PythonConverter:[2,1,1,""]},"spatialpy.solvers.build_expression.BuildExpression":{ValidationVisitor:[2,1,1,""],getexpr_cpp:[2,2,1,""],getexpr_python:[2,2,1,""],map_operator:[2,2,1,""],operator_map:[2,4,1,""],validate:[2,2,1,""],with_blacklist:[2,2,1,""],with_namespace:[2,2,1,""]},"spatialpy.solvers.build_expression.BuildExpression.ValidationVisitor":{visit_Assign:[2,2,1,""],visit_BinOp:[2,2,1,""],visit_BoolOp:[2,2,1,""],visit_Call:[2,2,1,""],visit_Compare:[2,2,1,""],visit_Name:[2,2,1,""],visit_UnaryOp:[2,2,1,""]},"spatialpy.solvers.build_expression.CppConverter":{CppExpressionTransformer:[2,1,1,""],get_str:[2,2,1,""],visit_And:[2,2,1,""],visit_Or:[2,2,1,""]},"spatialpy.solvers.build_expression.CppConverter.CppExpressionTransformer":{visit_BinOp:[2,2,1,""]},"spatialpy.solvers.build_expression.ExpressionConverter":{convert_str:[2,2,1,""],get_str:[2,2,1,""],parse_comparison:[2,2,1,""],parse_logical:[2,2,1,""],parse_operator:[2,2,1,""],visit_Add:[2,2,1,""],visit_BinOp:[2,2,1,""],visit_BoolOp:[2,2,1,""],visit_Bytes:[2,2,1,""],visit_Call:[2,2,1,""],visit_Compare:[2,2,1,""],visit_Constant:[2,2,1,""],visit_Div:[2,2,1,""],visit_Ellipsis:[2,2,1,""],visit_Eq:[2,2,1,""],visit_Gt:[2,2,1,""],visit_GtE:[2,2,1,""],visit_Lt:[2,2,1,""],visit_LtE:[2,2,1,""],visit_Mult:[2,2,1,""],visit_Name:[2,2,1,""],visit_NameConstant:[2,2,1,""],visit_NotEq:[2,2,1,""],visit_Num:[2,2,1,""],visit_Pow:[2,2,1,""],visit_Str:[2,2,1,""],visit_Sub:[2,2,1,""],visit_USub:[2,2,1,""],visit_UnaryOp:[2,2,1,""]},"spatialpy.solvers.build_expression.PythonConverter":{visit_And:[2,2,1,""],visit_Or:[2,2,1,""]},"spatialpy.solvers.solver":{Solver:[2,1,1,""]},"spatialpy.solvers.solver.Solver":{compile:[2,2,1,""],run:[2,2,1,""]},"spatialpy.stochss":{stochss_export:[3,0,0,"-"]},"spatialpy.stochss.stochss_export":{"export":[3,5,1,""]},spatialpy:{core:[1,0,0,"-"],solvers:[2,0,0,"-"],stochss:[3,0,0,"-"]}},objnames:{"0":["py","module","Python module"],"1":["py","class","Python class"],"2":["py","method","Python method"],"3":["py","exception","Python exception"],"4":["py","attribute","Python attribute"],"5":["py","function","Python function"]},objtypes:{"0":"py:module","1":"py:class","2":"py:method","3":"py:exception","4":"py:attribute","5":"py:function"},terms:{"0":[1,2],"04":1,"1":[1,2],"10":1,"10000":1,"11":1,"13":1,"14142136":1,"15":1,"1999":1,"1d":1,"2":1,"20":1,"2000":1,"2015":1,"2019":[0,1,2,3],"2022":[0,1,2,3],"2d":1,"2e9":1,"2r01eb014877":4,"3":[0,1,2,3,4],"300":1,"3d":[1,4],"4":1,"5":1,"500":1,"6":1,"600":1,"7":1,"8":1,"800":1,"9":1,"abstract":[1,2],"byte":2,"case":1,"class":[1,2],"default":1,"do":1,"export":[1,3],"float":1,"function":[1,2],"import":1,"int":[1,2],"long":1,"new":[1,2],"public":[0,1,2,3,4],"return":[1,2,3],"short":4,"static":[1,4],"super":2,"switch":1,"true":[1,2],A:[0,1,2,3,4],And:2,By:[1,2],FOR:[0,1,2,3],For:[1,4],If:[0,1,2,3,4],In:1,It:1,No:1,Not:[1,2],Or:2,The:[1,2,4],These:1,Will:1,_ast:2,abl:1,about:1,absolut:1,acceler:1,accept:2,across:1,action:1,ad:[1,2],add:[1,2],add_boundary_condit:1,add_data_funct:1,add_domain:1,add_initial_condit:1,add_paramet:1,add_point:1,add_product:1,add_react:1,add_speci:1,addit:[1,2],addition:[1,2],addtion:[1,2],advect:[0,1,2,3,4],against:[1,2],algorithm:[1,4],align:1,all:[1,2],allow:2,along:[0,1,2,3],alreadi:1,also:[1,2,4],alwai:2,amount:1,an:[1,2,4],ani:[0,1,2,3,4],anim:1,animation_attribut:1,animation_opt:1,annot:1,append:2,appli:1,approxim:1,ar:[1,2],argument:1,arrai:1,arraid:1,array_lik:1,articl:4,artifici:1,asarrai:1,ascii:1,assign:[1,2],associ:1,assum:2,ast:2,attempt:1,attribut:1,author:4,auto_plai:1,automat:[1,2],autorang:1,avail:[1,2,4],averag:1,axi:1,background:1,bare:2,base:[1,2,4],bass:1,becaus:1,becom:1,been:1,begin:1,behavior:2,best:1,between:[1,2],binari:1,binboolopop:2,binop:2,biochem:1,bitand:2,bitor:2,bitxor:2,blacklist:2,blob:1,blue:1,bodi:1,bogu:1,bool:[1,2,3],boolop:2,both:[1,4],bottom:1,bound:1,bound_cond:1,boundari:1,boundarycondit:0,boundaryconditionerror:1,box:1,branch:1,brian:4,browser:1,brute:1,bugn:1,build:[1,2,4],build_dir:1,build_express:0,buildexpress:2,built:2,bulk:1,bupu:1,bvf_phi:1,c0:1,c:[0,1,2,3],c_:1,calcul:1,calculate_vol:1,call:[1,2],can:[0,1,2,3,4],caus:2,cdn:1,cell:1,charact:1,chart:1,check:[1,2],chemic:1,choos:1,chosen:1,circumradiu:1,ckdtree:1,classmethod:[1,2],cleanup:0,cleanup_build_fil:1,cleanup_core_fil:1,cleanup_result_fil:1,cleanup_tempfil:1,clear:1,close:1,closest:1,closest_vertex:1,cloud:1,code:[1,4],coeffic:1,coeffici:1,collabor:1,collect:1,colormap:1,column:1,com:[1,4],combin:1,compar:[1,2],comparison:2,compil:[1,2],compile_prep:1,comput:1,conain:1,conatain:1,concentr:1,condit:[1,2],config:1,connect:1,consid:1,consol:2,constant:[1,2],construct:1,constructor:2,constuct:1,contact:4,contain:[1,2],content:4,context:2,contian:1,continu:4,convers:2,convert:[1,2,3],convert_str:2,convet:2,coodin:1,coordin:1,copi:[0,1,2,3],copy_numb:1,copyright:[0,1,2,3],core:[0,4],corner:1,correl:1,correspond:[1,2],could:[1,2],count:1,count_neighbor:1,coupl:1,cppconvert:2,cppexpressiontransform:2,creat:[1,2],create_2d_domain:1,create_3d_domain:1,csv:1,current:[1,2],custom:1,cylind:4,cython:1,d:1,data:[1,2],data_funct:1,datafunct:0,datafunctionerror:1,debug:[1,2],debug_level:[1,2],debugg:2,defer:1,defin:[1,2],definit:1,delete_all_paramet:1,delete_all_react:1,delete_all_speci:1,delete_paramet:1,delete_react:1,delete_speci:1,deltai:1,deltax:1,deltaz:1,demo:4,densiti:1,dependency_graph:1,describ:[1,4],descript:1,detail:[0,1,2,3],determinist:[0,1,2,3,4],determinst:1,develop:[0,1,2,3,4],diamet:1,dict:[1,2],dictionari:[1,2],differ:[1,2],diffus:[0,1,2,3,4],diffusion_coeffici:1,dimens:1,dimension:1,direct:1,directli:[1,4],directori:1,displai:1,dissip:4,distanc:1,distance_between_2_vertic:1,distance_upper_bound:1,distribut:[0,1,2,3],div:2,doe:1,doesn:1,dok_matrix:1,dolfin:1,dom:1,domain:[0,4],domainerror:1,domn:1,doubl:1,download:1,dr:4,draw:1,drawert:4,drawn:1,dtype:1,duplic:2,durat:1,dure:[1,2],dynam:4,e:1,each:1,edg:1,edit:1,effect:1,effici:1,either:1,element:1,ellipsi:2,els:1,embed:4,empti:2,end:1,engin:1,ensur:[1,2],enterpris:1,entir:1,entireti:1,ep:1,eq:2,equival:2,error:1,estim:1,euclidean:1,evalu:1,evaul:1,even:[0,1,2,3],evenli:1,exampl:1,exce:1,exceed:[1,2],except:1,execut:[1,2],exist:1,expect:[1,2],explor:1,export_stochss:1,export_to_csv:1,export_to_vtk:1,expres:2,express:[1,2],expressionconvert:2,expressionresult:2,extens:1,extra:1,f:1,f_durat:1,fail:2,fals:[1,2,3],far:2,faster:1,featur:4,fenic:1,fifo:1,figur:1,figure_or_data:1,file:1,filenam:[1,3],fill:[1,4],fill_with_particl:1,find:[1,4],find_boundary_point:1,find_h:1,first:[1,2],fit:[0,1,2,3],fix:1,flag:[1,2],flatten:1,flight:2,floordiv:2,flow:4,fluid:[1,4],folder_nam:1,follow:[1,2],forc:1,form:[1,4],format:1,forward:2,found:[1,2,4],foundat:[0,1,2,3],fraction:1,frame:[1,4],free:[0,1,2,3],frequenc:1,from:[1,2],fromkei:1,fund:4,further:1,furthest:1,g:1,gain:1,gdbgui:2,gener:[0,1,2,3,4],geometr:1,geometri:0,geometry_ivar:1,geometryal:1,geometryerror:1,geometryexterior:1,geometryinterior:1,get:[1,2],get_all_paramet:1,get_all_react:1,get_all_speci:1,get_arrai:1,get_array_nam:1,get_bounding_box:1,get_domain_s:1,get_num_point:1,get_num_react:1,get_num_speci:1,get_num_voxel:1,get_paramet:1,get_point:1,get_properti:1,get_react:1,get_speci:1,get_str:2,get_timespan:1,get_type_def:1,get_vol:1,getexpr_:2,getexpr_cpp:2,getexpr_python:2,github:[1,4],given:[1,2],gmsh:1,gnbu:1,gnu:[0,1,2,3,4],gprof:2,grai:1,grant:4,granular:2,graph:1,graph_obj:1,graph_refer:1,graviti:[1,4],greater:1,greatest:1,green:1,grei:1,gt:2,gte:2,guarante:1,h:1,ha:[1,4],hand:2,handl:2,happen:[1,2],hasn:[1,2],have:[0,1,2,3],height:1,held:1,help:1,here:1,high:1,higher:1,highest:1,hit:1,hope:[0,1,2,3],how:[1,2,4],http:[0,1,2,3,4],hybrid:4,hyperrectangl:1,i:1,id:1,idea:1,ideal:2,idempot:1,identifi:[1,2],idx:1,ignor:1,imag:1,image_height:1,image_width:1,immobil:1,implemenet:1,implement:[1,2],impli:[0,1,2,3],implicit:1,import_meshio_object:1,imposs:2,inch:1,incid:1,includ:1,included_types_list:1,incompat:1,increas:1,increment:2,indec:1,indeci:1,index:[1,4],indic:[1,2],inf:1,infer:2,infin:1,infinit:1,info:1,inform:[1,2,4],inherit:2,init_cond:1,init_notebook_mod:1,initailcondit:1,initi:1,initialcondit:0,initialconditionerror:1,inlin:1,innernod:1,input:1,insert:1,insid:1,instanc:[1,2],instead:1,integ:1,intend:4,intern:1,internet:1,interv:1,invalid:[1,2],invalid_:2,invalid_nam:2,invalid_oper:2,io:1,iplot:1,ipython:1,is_valid:2,item:[1,2],iter:1,its:1,j:1,jacob:4,jet:1,jpeg:1,js:1,json:1,jupyt:1,k:1,kd:1,kdtree:1,kei:[1,2],keyerror:1,keyword:1,kill:1,kth:1,kwarg:1,lack:1,lagrangian:4,larg:1,larger:1,last:[1,2],later:[1,2],latest:4,layout:1,leafnod:1,leafsiz:1,learn:1,leav:1,left:2,legaci:1,length:1,less:1,level:[1,2],li:4,librari:1,licens:[0,1,2,3,4],lifo:1,like:1,limit:1,link:1,link_text:1,list:[1,2],listofparamet:1,listofreact:1,listofspeci:1,listoftyp:1,load:1,local:1,locat:1,logic:2,look:1,lookup:1,lower:1,lowest:1,lshift:2,lt:2,lte:2,ly:1,m:1,mai:1,main:4,make:1,manag:2,maneewongvatana:1,manhattan:1,mani:[1,2],map:[1,2],map_oper:2,margin:1,mark:1,mass:1,master:1,mathemat:[1,2],matmult:2,matplotlib:1,matrix:1,max:1,max_dist:1,maximum:[1,2],mean:1,measur:1,meet:1,megabyt:1,merchant:[0,1,2,3],mesh:1,mesh_obj:1,meshio:1,messag:1,meta:1,method:[1,2],mgrid:1,midpoint:1,min:1,minim:1,minimum:1,minkowski:1,miss:1,mod:2,model:[0,2,3,4],modelerror:1,modelname_mesh:1,modelname_species_:1,modifi:[0,1,2,3],modul:4,molecul:1,moor:1,more:[0,1,2,3,4],most:[1,2],mount:1,move:1,move_to_end:1,movement:1,msh:1,much:1,mult:2,multipl:[1,2],must:1,n:1,name:[1,2],nameconst:2,namespac:[1,2],ndarrai:1,nearbi:1,nearby_point:1,nearer:1,nearest:1,necessarili:1,need:[1,4],neg:1,neighbor:1,nih:4,node:[1,2],nodetransform:2,nodevisitor:2,non:1,none:[1,2,3],nonneg:1,norm:1,notat:1,note:[1,2],notebook:[1,4],noteq:2,np:1,nsm:4,nu:1,num:2,num_step:1,number:[1,2],number_of_thread:[1,2],number_of_trajectori:[1,2],numpi:1,numpoint:1,nx:1,ny:1,nz:1,o:1,obj:1,object:[1,2],od:1,off:1,offlin:1,omit:1,on_boundari:1,one:[1,2],onli:[1,2],onlin:1,open:1,oper:2,operator_map:2,option:1,orang:1,order:1,ordereddict:1,org:[0,1,2,3],origin:2,orrd:1,other:[1,2],otherwis:[1,2],our:4,out:[1,4],outdat:1,output:[1,2],output_interv:1,over:1,overflow:1,overrid:2,overridden:1,p0:1,p:1,p_ndx:1,packag:4,page:[1,4],pair:1,param:1,param_nam:1,param_obj:1,paramet:[0,2,3],parametererror:1,paramt:1,parent:1,pars:2,parse_comparison:2,parse_log:2,parse_oper:2,part:1,partcil:1,particip:1,particl:[1,4],particular:[0,1,2,3],pass:[1,2],path:[1,3],pdf:1,perform:1,petzold:4,physic:4,pii:4,pixel:1,place:1,placeinitialcondit:1,platform:1,pleas:[1,4],plot:1,plot_imag:1,plot_properti:1,plot_speci:1,plot_typ:1,plotli:1,plotly3:1,plt:1,pname:1,png:1,point:1,pop:[1,2],popitem:1,popul:1,posit:1,positon:1,pow:2,pre:2,predict:1,preper:1,present:[1,2],pressur:1,print:[1,2],problem:[0,1,2,3,4],process:2,produc:1,product:1,profil:[1,2],program:[0,1,2,3],project:4,propens:1,propensity_funct:1,properti:[1,2],property_nam:1,proprti:1,prove:4,provid:[1,2,4],prune:1,pt:1,publish:[0,1,2,3],pubu:1,pubugn:1,pull:1,purd:1,purpl:1,purpos:[0,1,2,3],put:1,px:1,py:1,pypi:4,pyplot:1,python:[0,1,2,3,4],pythonconvert:2,pyurdm:4,queri:1,query_ball_point:1,query_ball_tre:1,query_pair:1,question:4,quick:1,r:1,radii:1,radiu:1,rais:[1,2],random:[1,2],randomli:1,rang:1,rapidli:1,rate:1,rather:1,ravel:1,raw:1,rdme:4,rdpu:1,reac:1,reach:1,react_nam:1,react_obj:1,reactant:1,reaction:[0,2,3,4],reactionerror:1,read:1,read_fil:1,read_msh_fil:1,read_step:1,read_stochss_domain:1,read_stochss_subdomain_fil:1,read_xml_mesh:1,reader:1,real:1,reason:1,receiv:[0,1,2,3],recent:[1,2],recurs:1,red:1,redistribut:[0,1,2,3],reevalu:1,refer:1,referenc:1,regardless:1,region:1,regist:4,registr:4,reject:2,rememb:1,remov:1,replac:4,repres:1,represent:[1,2],request:1,requir:1,reserved_nam:1,resolut:1,restrict:1,restrict_to:1,result:[0,2],result_dir:1,resulterror:1,resultserror:1,retreiv:1,retriev:1,return_plotly_figur:1,return_stochss_model:[1,3],rh:1,rho0:1,rho:1,right:[1,2],rname:1,rshift:2,rtype:2,rule:1,run:[1,2],runtimeerror:1,rvalu:2,s0021999118307101:4,s:[1,4],same:1,sampl:1,sanit:2,sanitized_data_function_nam:1,sanitized_parameter_nam:1,sanitized_species_nam:1,save:1,scalar:1,scatter:1,scatterinitialcondit:1,scienc:[1,4],sciencedirect:4,scipi:1,sdpd:[1,4],search:[1,4],second:[1,2],see:[0,1,2,3,4],seed:[1,2],self:[1,2],separ:1,sequenc:1,seri:[1,2],set:[1,2],set_diffusion_coeffici:1,set_filenam:1,set_properti:1,set_timestep:1,setdefault:1,setrecursionlimit:1,setter:1,shallow:1,shape:1,should:[0,1,2,3],show:1,show_link:1,significantli:1,simlat:1,simplifi:1,simul:[0,1,2,3,4],simulationerror:[1,2],simulationtimeout:[1,2],sinc:1,singl:[1,2],size:1,slide:1,smaller:1,smdl:1,smooth:4,sname:1,so:[1,2],softwar:[0,1,2,3,4],solver:[0,1,4],some:1,sort:1,sound:1,sourc:[1,2,3,4],space:1,spactialpi:2,span:1,spars:1,sparse_distance_matrix:1,spatailpy_model:1,spatial:[0,1,2,3,4],spatialpy_build:1,spatialpy_model:[1,3],spatialpy_result:1,spatialpyerror:0,spatialpysolv:1,spayialpi:1,speci:0,special_charact:1,species_nam:1,species_object:1,specieserror:1,specif:1,specifi:1,speed:1,split:1,split_dim:1,src:1,ssa:1,sssa:4,start:[1,2,4],statement:2,statist:1,step:1,step_num:1,stochast:[0,1,2,3,4],stochss:[0,1,4],stochss_export:0,stoichiometr:1,stoichiometri:1,store:1,str:[1,2,3],string:[1,2],struct:2,structur:1,style:1,sub:2,subclass:[1,2],subdomain:1,submodul:0,subpackag:4,substanti:1,substitut:2,success:1,suggest:4,sum:1,suppli:1,support:[1,4],sure:1,svg:1,sy:1,symbol:2,syntax:2,syntaxerror:2,system:[1,4],t:[1,2],t_durat:1,t_ndx:1,t_ndx_list:1,t_val:1,tag:1,take:1,target:[1,2],tempfil:1,term:[0,1,2,3],tetrahedron:1,text:1,than:1,them:1,thi:[0,1,2,3,4],thin:1,those:1,thread:[1,2],time:[1,2],time_span:1,timeout:[1,2],timepoint:1,timespan:1,timestep:1,timestep_s:1,titl:1,token:2,total:1,toth:1,trace:1,tracker:4,trajectori:[1,2],transit:1,travers:1,tree:[1,2],triangl:1,trigger:2,tspan:1,tupl:1,two:[1,2],txt:1,type:[1,2],type_id:1,u0:1,unabl:1,unaryop:2,under:[0,1,2,3,4],uniform:1,uniforminitialcondit:1,union:1,unit:1,univers:2,unnecessari:1,up:1,updat:1,update_namespac:1,upload:1,upon:1,upper:1,urdm:1,us:[0,1,2,3,4],use_matplotlib:1,user:[1,4],usual:1,usub:2,util:1,v1:1,v:1,valid:[1,2],validationvisitor:2,valu:[1,2],vari:1,vector:1,veloc:1,verbos:2,veri:1,version:[0,1,2,3,4],vertex:1,vertic:1,view:1,viewer:1,viscos:1,visit:2,visit_add:2,visit_and:2,visit_assign:2,visit_binop:2,visit_boolop:2,visit_byt:2,visit_cal:2,visit_compar:2,visit_const:2,visit_div:2,visit_ellipsi:2,visit_eq:2,visit_gt:2,visit_lt:2,visit_mult:2,visit_nam:2,visit_nameconst:2,visit_noteq:2,visit_num:2,visit_or:2,visit_pow:2,visit_str:2,visit_sub:2,visit_unaryop:2,visit_usub:2,visitor:2,vol:1,volum:1,voxel:1,vtk:1,vtkreader:0,vtkreadererror:1,vtkreaderioerror:1,wa:1,want:1,warranti:[0,1,2,3],we:[1,4],web:1,webp:1,weir:4,well:2,were:[1,2],what:2,when:[1,2],where:1,whether:[1,2,3],which:[1,2],whose:1,width:1,with_blacklist:2,with_namespac:2,within:1,without:[0,1,2,3],word:1,work:1,wp:1,write:1,write_imag:1,written:1,www:[0,1,2,3,4],x1:1,x2:1,x:1,xaxi:1,xlim:1,xmax:1,xmin:1,xml:1,y:1,yaxi:1,yet:1,yi:4,ylgn:1,ylgnbu:1,ylim:1,ylorbr:1,ylorrd:1,ymax:1,ymin:1,you:[0,1,2,3,4],your:[1,4],z:1,zero:1,zeroth:1,zip:1,zlim:1,zmax:1,zmin:1},titles:["spatialpy package","spatialpy.core package","spatialpy.solvers package","spatialpy.stochss package","Documentation for SpatialPy 1.0"],titleterms:{"0":4,"1":4,api:4,boundarycondit:1,build_express:2,cleanup:1,content:[0,1,2,3],copi:4,core:1,datafunct:1,document:4,domain:1,exampl:4,geometri:1,get:4,indic:4,initialcondit:1,issu:4,model:1,modul:[0,1,2,3],packag:[0,1,2,3],paramet:1,reaction:1,refer:4,report:4,result:1,solver:2,spatialpi:[0,1,2,3,4],spatialpyerror:1,speci:1,stochss:3,stochss_export:3,submodul:[1,2,3],subpackag:0,tabl:4,vtkreader:1}})
\ No newline at end of file
diff --git a/spatialpy/core/result.py b/spatialpy/core/result.py
index fbc06f5f..9f766c8e 100644
--- a/spatialpy/core/result.py
+++ b/spatialpy/core/result.py
@@ -578,7 +578,14 @@ def get_property(self, property_name, timepoints=None):
         given, that value is used to index into the timespan, and that time point is returned \
         as a 1D array with size (number of voxel).
 
-        :param property_name: A string describing the property to be returned.
+        :param property_name: A string describing the property to be returned.  Can be one of: {
+            'v' : velocity,
+            'rho': density,
+            'mass': mass,
+            'id': type_id,
+            'type': type as str,
+            'bvf_phi': boundary volume fraction,
+            'nu': viscosity}
         :type property_name: str
 
         :param timepoints: timespan index to be returned.  Default is None

From 3372f964158676ef467b0ee2a185e6eff44b6fcc Mon Sep 17 00:00:00 2001
From: Bryan Rumsey 
Date: Tue, 1 Mar 2022 12:34:44 -0500
Subject: [PATCH 02/30] Fixed start here notebook name.

---
 docs/index.rst | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/index.rst b/docs/index.rst
index ef9b1b78..450e6250 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -20,7 +20,7 @@ The latest version of SpatialPy can be found on `PyPI `_ for more information on how to build and simulate your models with SpatialPy. For an example of how to use SpatialPy to simulate a spatial stochastic reaction-diffusion system, see the `3D Cylinder Demo `_. We also provide examples of how to use SpatialPy to simulate physics (`Gravity Demo `_) and fluid flow (`Weir Model `_).
+See our `Example Notebook - Start Here `_ for more information on how to build and simulate your models with SpatialPy. For an example of how to use SpatialPy to simulate a spatial stochastic reaction-diffusion system, see the `3D Cylinder Demo `_. We also provide examples of how to use SpatialPy to simulate physics (`Gravity Demo `_) and fluid flow (`Weir Model `_).
 
 
 Reporting Issues

From a2585ede8e312b1766e0e1eca228db25127fce77 Mon Sep 17 00:00:00 2001
From: Bryan Rumsey 
Date: Tue, 1 Mar 2022 12:42:02 -0500
Subject: [PATCH 03/30] Fixed doc strings for boundary conditions.

---
 spatialpy/core/boundarycondition.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/spatialpy/core/boundarycondition.py b/spatialpy/core/boundarycondition.py
index 55fb0bd0..1cef0911 100644
--- a/spatialpy/core/boundarycondition.py
+++ b/spatialpy/core/boundarycondition.py
@@ -59,7 +59,7 @@ class BoundaryCondition():
     and applies to deterministic simulation. **BoundaryCondition not yet implemeneted for Stochastic Species**.
     :type deterministic: bool
 
-    :param target: Set **target** to properties, can be 'nu' 'rho' or 'v' or species name
+    :param target: Set **target** to properties, can be 'nu' 'rho' or 'v' or species name \
     If species name, determinstic must also be set to True/False.
     :type target: str
 

From 05ad212046e846c2e796569a75b57b9d683b6774 Mon Sep 17 00:00:00 2001
From: Bryan Rumsey 
Date: Tue, 1 Mar 2022 12:43:15 -0500
Subject: [PATCH 04/30] Fixed doc strings for boundary conditions.

---
 spatialpy/core/boundarycondition.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/spatialpy/core/boundarycondition.py b/spatialpy/core/boundarycondition.py
index 1cef0911..71657209 100644
--- a/spatialpy/core/boundarycondition.py
+++ b/spatialpy/core/boundarycondition.py
@@ -31,7 +31,7 @@ class BoundaryCondition():
          - type_id: type (subdomain) of the partciles
     Targets (one of the following must be set):
         property: (str), 'nu', 'rho','v'
-        species: (str) name of a chemical species.
+        species: (str) name of a chemical species. \
                    Must also set deterministic=True/False flag.
 
     :param xmin: x-axis coordinate lower bound of **condition**

From 86c3647b3c2bb44b262ce70a5e0200fe073d1aa2 Mon Sep 17 00:00:00 2001
From: Bryan Rumsey 
Date: Tue, 1 Mar 2022 14:15:25 -0500
Subject: [PATCH 05/30] Added a missing raises doc tag for data functions.

---
 spatialpy/core/datafunction.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/spatialpy/core/datafunction.py b/spatialpy/core/datafunction.py
index f63b375f..97d589c5 100644
--- a/spatialpy/core/datafunction.py
+++ b/spatialpy/core/datafunction.py
@@ -23,6 +23,8 @@ class DataFunction():
 
     :param name: Name of the Data Function.
     :type name: str
+
+    :raises DataFunctionError: If a name is not provided.
     """
 
     def __init__(self, name=None):

From 4ca44ad5949a4f6c027598caf55865f6b583c4ea Mon Sep 17 00:00:00 2001
From: Bryan Rumsey 
Date: Tue, 1 Mar 2022 15:31:46 -0500
Subject: [PATCH 06/30] Updated docs in domain.  updated docs.

---
 docs/build/html/.buildinfo                    |    2 +-
 .../.doctrees/classes/spatialpy.core.doctree  |  Bin 1332244 -> 1462682 bytes
 .../html/.doctrees/classes/spatialpy.doctree  |  Bin 5787 -> 5949 bytes
 .../classes/spatialpy.solvers.doctree         |  Bin 225708 -> 234328 bytes
 .../classes/spatialpy.stochss.doctree         |  Bin 13469 -> 13763 bytes
 docs/build/html/.doctrees/environment.pickle  |  Bin 451496 -> 452171 bytes
 docs/build/html/.doctrees/index.doctree       |  Bin 15874 -> 16082 bytes
 docs/build/html/_modules/collections.html     |  435 +++++--
 docs/build/html/_modules/index.html           |    2 +-
 .../html/_modules/plotly/offline/offline.html |    2 +-
 .../html/_modules/scipy/spatial/kdtree.html   | 1071 ++++++++---------
 .../spatialpy/core/boundarycondition.html     |    6 +-
 .../html/_modules/spatialpy/core/cleanup.html |    2 +-
 .../_modules/spatialpy/core/datafunction.html |    4 +-
 .../html/_modules/spatialpy/core/domain.html  |   53 +-
 .../_modules/spatialpy/core/geometry.html     |    2 +-
 .../spatialpy/core/initialcondition.html      |    2 +-
 .../html/_modules/spatialpy/core/model.html   |    2 +-
 .../_modules/spatialpy/core/parameter.html    |    2 +-
 .../_modules/spatialpy/core/reaction.html     |    2 +-
 .../html/_modules/spatialpy/core/result.html  |    2 +-
 .../spatialpy/core/spatialpyerror.html        |    2 +-
 .../html/_modules/spatialpy/core/species.html |    2 +-
 .../_modules/spatialpy/core/vtkreader.html    |    2 +-
 .../spatialpy/solvers/build_expression.html   |    2 +-
 .../_modules/spatialpy/solvers/solver.html    |    2 +-
 .../spatialpy/stochss/stochss_export.html     |    2 +-
 docs/build/html/_sources/index.rst.txt        |    2 +-
 docs/build/html/_static/basic.css             |    6 +-
 docs/build/html/_static/doctools.js           |    5 +-
 docs/build/html/_static/language_data.js      |    2 +-
 docs/build/html/_static/pygments.css          |    8 +-
 docs/build/html/_static/searchtools.js        |   23 +-
 docs/build/html/classes/spatialpy.core.html   |  934 +++++++++-----
 docs/build/html/classes/spatialpy.html        |   17 +-
 .../build/html/classes/spatialpy.solvers.html |   51 +-
 .../build/html/classes/spatialpy.stochss.html |   21 +-
 docs/build/html/genindex.html                 |   58 +-
 docs/build/html/index.html                    |   31 +-
 docs/build/html/objects.inv                   |  Bin 2547 -> 2622 bytes
 docs/build/html/py-modindex.html              |    2 +-
 docs/build/html/search.html                   |    7 +-
 docs/build/html/searchindex.js                |    2 +-
 spatialpy/core/domain.py                      |   51 +-
 44 files changed, 1673 insertions(+), 1148 deletions(-)

diff --git a/docs/build/html/.buildinfo b/docs/build/html/.buildinfo
index ab4bd335..8940d805 100644
--- a/docs/build/html/.buildinfo
+++ b/docs/build/html/.buildinfo
@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 9eb3e1c2ecc65d7c728e939f73f722a8
+config: dbb3a5f1ac404bdea5afd00c4aced27b
 tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/docs/build/html/.doctrees/classes/spatialpy.core.doctree b/docs/build/html/.doctrees/classes/spatialpy.core.doctree
index bf7b07074ae5c19792745e55d45c0be383267d20..7de450f71e8738e3e5183e5d5f205297b527fd81 100644
GIT binary patch
literal 1462682
zcmeEv378y5b+C0?E8jLY_F8h=!q!M$tz;WtvLqwR2gbG#l8gbzSS66p+&#vSU
zf1kBI-F3WrSG{`m>ecN_UcBJ21&85(y`wvm^+t1gxLmC^Th&@;ws&~7RhgQoHM_Gf
znqB+M+1qAIz2)ul{!VMEU8&9X4ucYvdSkrWt~FdPtW&FW8?C0S
zUSCpQT3>e4Y^lDyx1`(Xj@Oh=y%Rf=y$??6VlVyOaJ6k`tw|qnnqrRxOltaIxw|KnKtj+G28ZGw*%H3|eF*?^oeiVynR2r|HPNZfY`C1GwzFY38}-ha4FG3n1MhN!j*Q`U2L`k1
znuSxN^%aa30-5z=#P8m~?y1pJ<1G&!udq|vO_rWJl>te%M1-ZJ3N
zc7s@|)LT4RZnS56B{r5zg0w-;_SUeX>r+eCm+t7!mXVA%z&JVJz1w|wa(Fmm#|B?hRUF=_3F>S^$_^-dhf`THf0(Pu3Oe_1?T&$VJfT1m$4oOt%ii
zK2NBHV64>+I*o~`aZnoYp*1$ZQ4v&Y-CBF1(QI_Ojmm~jw^gZ^@iA!E%A}CiR~utv
zQyr+bzFghMlvFU;ZjFxDCOQM#Taz>G#@>22C~aRGoV)Ryi-Yy>=iGCH2&8IlUv0cK
z2~s^Q81LZ&aK!l&z!A4(=lljJvqOV%1SbOng;M>!b59*u1?ULOG=W?*)~?lpPHU{Y
zA7+D1!Axr^sFa()2324UrtpJCHz+r&8-STWpc-Q{1MmVgOsySs>$LzGse|l{Kd#zw
zeQ?zkJFeKZ?b=}H^_N|H_4WY%zhcMkD}pBiCmA6MGdPJ@Y4}rW1<_^gG$tm;
z8$c!Cj&`}(ok1OP-4(mGKNiYwyX@*~uio?I0Qlm{tM}}to
z_Uo_RwhMS**Urc9zG65Cb_0EZLk2Q&2r8}#G;lyqmC;-h8srah>=7S59~k0!{(Q9D
z%13uR8HBw9^d7GU_42+N2z{m2*ay@u2Nh88noQT4wRU+t*oksm39fBaYRyhPvd3x)3Hr!CgoW5Nxc$`fJs0lMUJ4
zQUGVF-I%Sv9*v<_Bfv0yoY-3kRFW;yFLNxlL@N$kf?1Ii+EGxA%qwX1Nn%p+vI3WO
zz<7d1QE$s-+{)c9t=tkV3{VB8S$u0}d*`N=8IE-@Yqb;E>Hy5!#jql*C}b21xx--D
z2VX`y4OsYer`j5+UmokFG!1symL08TZ77(YC{Odpndt3I^!7mX_CWNuJ2P1uX;gVl
z&DPtpr#%G?cgyX)wJtBPuRK0g@hC2c{u7Fh`iv(-7ZiO`yt#424Euk6_V-c%VBH_*L&f?UNhLZ7FVx;$s-sU!FPenZ$;glo+=6g&lyVUbog~L9ZJ0wAQ9^Ul>|@k
zNCb~Kf_~Rj64f87{~YzmFC$dfe?hBq7}s(dmpQ0oV}d0HVfmr~9Uckp9v9q)Bisz=
z!?Eu~c*7OglH`sEL;smaM!yF1dE
zD7U*$oob2R>(lNrxv2Foe$@J^yC)a5cu#)R`hmN@9Moc96r+~3wym;-UnRBZhfb}f
z3v+A2g;3Q)woY*O3+MK<1(AK7~D
z{&J9wfl-KTu#izUlE}GWBOVyBN-;q~7}H@b)GBIIlR2>C8|PcB08o^(Q@heZr=
zG5yd-_7Cp}=nx!q$
z9&-1WgJukjLNptQ9CtR7EnzE09_7G)=>$7^QEroD1yuDgNmjahauJO8@j`>+vV=bMKIozAHi;R_m_iU3=B_#r59g`
zOB2(l2Wxv48V0WL;eCzT{tEcfXM0DB$B}ZgQrA3DX}cb{GsJanZ|w;10){N5#+X15
z7SwB0XTzfbOxn+ZkP`?9Bgd-R00oet|2n)CF)s(iyfg|L{+R-nAmR&LYO@ft1isJK
zXb2G@vzm*xx0Jy++e_Vj0U(*@zrM70IP6G|lbetrMkntlVY3LFyVooLpgxYSBgK0S
zAx&L1+D=4xm6RBVlP@d7#^R=66U5t4Kbvl50N>1n4)(K_@gmWBI(k(f3}0#RB0A3}
zYY$0c+Fn|sT~8({U6$CcvY-(b@it#@K?DMzC&;eTuNt#4jH7!(1}
zTR1s``w%nh874JSAW`2+L=E2zf7D1c5ql;=*CdC8cR@+oj;yvO%CL|P-;XbrAs51K
zk|bGg1-z+ELsUSe(Ve}M3P5l`6CRfXzBvzsFUHCM9wPwfMwO+-;1Slpg2E6sb7=0J
zAR7`xxORt-ZDEfy`~;4KI5&JbJ~HNw!fz&b*SbPHV7q-U1h~l18HV>@e;xLNgEGeG
zfcu(7T!7;pVzWU00|?Ry>NVJ~2SMm`AtECvO-)wIUD&jTz^%F(?bYelCfOby@Y?)$
zEV(-TB4T1N{5(fUeWlG2tnT)3Y#z!Cp-^`@?vIW^C>@3?jTl=wVh?zE?*yaJ2ZRxF?w)fs?)`go=&a1cGJLm*eGr^*>>@!
zpfon#DtFfg@QNBJPX}ZPirAp(pxS_tWemoGn&<=`f`7}?={0Axn&{#h3eb;|Uh{xf
zlP~2r1^5t@AUKvW|5_1pf(&12h!|argTZ~*?uZLJG)
zGQNqJM`0HnF?pMe5JRmEhG$`;c@P7^KH(WOTHS6iaOp%$PPsM_bBThOyiG=kq1Fb&
zEqM`xqIPjH#H{mFTaif`?uu~X(@HdaYG5$jlXv)s!|-?d4qsUW7$+WjOPMyB?JZbO
zYly`NnAB@1o(nSc_Ip%=LIo!GhLZfY}fnfPs1x_FE?*Xn-aDsy9$a-y}QGswsUIOAB4q!eV=WjPFYg^5AmJ&6KUN2Gw#Q(Y@SWK6suQu-Gm(6Q;WO}0
zR<&cyWh6}l0G7d^hc3oYaVyaZ(+GXxkM5x
z0yKig8nC*t8#(ZK34M;4M`$4Onr6h&z)lfl6`l7|UP%!EJ{=4{=!4zx1B@hphkuyI
zf*W#d45O{;ObpU+36$1lqomm-F?rd92As6%*Mq6QzB~<~)|FPP4Gsxd`US8ifU_8*
z7!Qm336_TJ*cVeO7(>Y&5hI}IAYfa83fu|MypRK1MApA~;p9sUC!dEuVAMk3a8Qbv
zm~f1rR2>t(Nzr+H^oRA15fIlVCgEgKqocySgcdjgX#Pv5c|}e>t%ul
zaJXP?3JRgj63|mGGJ;^K1r^m$?(|gdiTcV?7=*?oD9GZ{IG-K4Zk^=Ib?XG}mdkfh
zx5OobOLQ(tCJJKgWGo$r#HoZpISz)ONujv1hWI2EO_fzxY>V}`RaPNh&mpVfm!TJ-
z9#A%w7zImg-DWQ=aoM~GDkaD!eo`66BAek)R0uOj;uDNE-IU~#xPxF!E~-jmxC{#0
z+>!~BxEqRxE8w3r0hEY}380CmBmuOPvk0KU5|Jd>1kfxDOlL`yqI5HQIDjk_+Bn6O744iwNG|Lfe@HPa-NNcqX2b1kY0L^i-Bm1uwlY2%gzX
zA;J5!7rFS1XF`xJcrQpHuLK
zvzJ1GH{?YwE_fyc>4NvYJ_{bYR8_${P;AD-=H!e=KXk#n&I?Oi@UAANwhA78>bKyH
z8f|70yb*#ixo8o=t3unE1WzI=CU_>Ek_69E?(|faPz5i&FbJO6OCiC#!;4&8@JtBO
z1@Fof0{hN*xZ&v*JVRr-XFP095xiI&`kTG5#0BpSG-j*d;irBJ-iM4flch
zCKoLtcz+LVXA(S#sF>iHcuEpHOF4_+87$!zJhLzep4m$w!TW|6xwzn&5Tpyw0?YE%RfUuWa1KhI-z{i3iHB!WaZVR#>v1l0!Cg7DH2>9^hNI^0z+gEn21v
zOES0OV7T!8p2lqzKK$e*e2ZYLLOam24&Nia;Nzy|BcRe;nVP3S+nEH9AxZZpEdr{_
z!Q!(%*o}Dx%lnBtnT@W2n`GDctarUFPuE-L5YOBF@C?itQ*b6PCMh^exy2}R5sG^3
zH>fGIY#}u@=7n^wrc4N6R3})Kf+TRlcgtwfRo-vgKuHe{xxLz3d)n1@u`D2(|eB+$qfgw
z+zOcNCzt`Qz=TmXh%STkK2^#;w>!!$CxEjlWaBIlSIfp*Ni*6b=y~x6SI*BPp|mPz
z{N$ya7b87{)?hz$2w!Wo=$<~fdVUo_m|V1oUG#crJCk~rXo{%~6H7^I!z`z(f-~2x
zOXcBco9Oh^vXL?(*7yf6#BJ9-MT_@9ns5@o5@2z
zL`Wf8ey&fnT%e|~f*%%qq$~L6qzI>{O*_jqHw7RGW0t=|OP0legE}6ftc;-XF-D1n
zC}C_bL@D7Pp~ERc2{k!nUsK-=NmWicJ||>k5}!h#E1WA>L=s>o?wA$l{kUEhKXrBY
zD=$iMh5Qg<)T)s2lb1qX(((2jpW_V4v+RiH&?=D-!Pu%lKmDJ1rehag=nEHz*~&cngg+r%-%bY
z0MWb%=U`~!C|zy+w7+WW$?QA<3v@tCQ$Ws*=iNlc=@T)XoX}k}Ec;&t!KdY%kp&p;yJ|j%Zp%p!Hojd
z@TBAU9eD|%KUd!8`bTd4FO1mYVaXCB!0>NdK0kvax&QN_N8IvUYfK#$d;Ul5t@MQQ$%NHP$fU<10
z;Xc_&@0EvMI%5T4aN7@LHV#**=vv6Jn3#@S43?$wPzD=5564X{-WETSkaYJCsXewH
zp3Re|qj#!{C1&;f45$KFwhjeuGhs*gR2T=#*%AIZo-23({G-u3oP{?T(sa-%20E4y
zz7!jJH8cz$V1f>gEJ}{h;rs%mxEqQI&K2Ar9sSz09d4I_47G5*1S}EDaFq;h;^J}k
zh{y2&i;(4Lzk>OsK&KaJLW)ZGHiUREdVnM38ra5;h1D
zzSr{Z9_3wc*{&L-sc*^yQ}VaOASs*se9$LOOMM6{N%n#HCj6MvHRGA+;B4>QZGuJG
zHA=ePWGU!Hq5uc0W&C+H7Q(R5O;V5Fu{
z31LHO?<7Wu`8!BK>cPNKUOINRK%5BE8!<VqJ7`Uz?j=cK4%RD{!s7q~
zkPwROEi+A&$S*`?mO&0Ac24IatU~GZmEX&nEp}%d<}|P0PekVDMtK$)y=ODc0Rx$3
zkz!{wEx^+GA)b*+pC>m1Omw^`+=5S6<3C&F)1~mF!UZ>*#DFT*$9mCqd+X8KTrYH%
zG*#EbG8M9W0iyUZd!-7c>55yo;zqx+NaTe0F|Q58Tlb8c5Y=k~R~l9@Bp50;rzS!|;+k&M*%{$Ro~qF5{d(@#UQG*;s?_`IE{n5gRB2ke#~d#eWZ60w~%Oh6$1oA8sYLq&1EonYmSyxR$Yo{2&xo?geD8Af+X|4*6*?yvE5^h8KxE{{`=K?~67hd_I}R+_028KOdJ!eD-oS02;)ECV4_Zort-{nkgheWbut26d}{8ZYU)Y
ziSd*St#WU_&>V3uweUMD&g77L`-S?J5^ZsyzZzh`iyWF2ltbO$ACeCpOE4e$r}2q=
z==5az(Ag4!yU}yHfj`o_P*{oRZ}(awtd$cFbG!?^9d9skiO_q-eEN!|;T#Q>g+;j5
zC?~{+BZ5!reP5J(4=Ao`L0t)DS(JQ7ws45xR*%p*E{;v1!EK+U_MtiFS8{9xRwNOE
z!e3&0@fC@0Sd6vBxwm6~1JEbhu@Ou$JND~PuU~d7!hkv(?O29Qvb(;8h)uF%6&Ji_
zmBJMdljNenvky|WKwJw%tO*{;UO{qBc=izh%wV_{|76~4Lubr4aTM%=lCyZ_l$~lZ
z5s2|iti&e*ekqM>B6tjR$|izs_(T%{Jta&89AM}x_hfLf5Kjmm#Cx=TTt;V0n%SoV
zwaLT@fpM!#AD?LjkvBf)UZbZtxhRW*exhul_soMb`RR0syN%?8rx#@5l=hEO*hoz`
z=?G0>9ovhm>7xyrlaA0mN7f>S>u4ZqMraxJl|Hm*IEUtR9z6}JdN_~%)ZLTI
zdBl72a~}PryT2UHBL+sYtuMSm+aDdl~!^Mc}=SS=(@8xX)6p0B>^31{%$zb?nVih;NxEBcpDWezZ-!rtz
zy+}fT2;JudSu7rQL;H-2Bg;pxSPD-E7I1r!umoE??8YZrJkV3Z;(;69dAFJ`5LUTd
z#bw-RR?a2TN{_cAT{W`3#3e)T=?BG(RsciW)U{-ho2|0W+i1XIkC
ztw6ngS+WR&uw)rF$?O_K#Aa|GZB`9gDO+*((NI9UVnYGuY-7__v@=?)5y@fU+Yo3t
zC&ghGDqojBbwR_;-LQr=n49U%a^TKtVx|yy0t-;`qA^osa5Md1=#!zG5e3q?VqdmRwu;ltAm{Fona5$*9z&;`w@t}eZ^)|
zwUe}XCbcYV#9XrgFcZaRKYYUCIXgXk0FIdYCyc3oBw5rpHCnXRL1hy~rZkRu7{t;FcaLsq6A_oTRo>
z!sM!2`2H7U`2M*!ZeHE3O?Nj1YY6-`TZe+p)mo=A(rN4+0pq<=+Z4zm!J4gGS-!Cn
z`YEY~k#uaALGk+6WM2zp);)NV%7vT(Pcdp4eDeLWNzAVT1+goamyqvK)jtnqcgPNU
z&ptRNwLx0)QbiFnNXKYP4%lWxX7M~lC<~j|82MJTBMnEWTqYbp`b!mzGIqxny|DF0}E{*neJ3w=nZrpZ(B>@FM3BoO{lH4plw&oL}qi$+hRq
zd-B_Je!IKB9DB|TjAX4WHj(+B^Ie1=L-fxCeX|DsUkm>~RR1|l3?bihw(>zN6`~_6)ErS=7=tE3^wi|r+m)p(RJJ~(iUx8XI+X_-E{5ZBMhKX=d
zocYQ_WnLowL87{*R%AI0${RQuCkCqWA5ev{oZ>Y)ciSi&3@BINo+C1jraF*184f`}
z0+CL43SM{XwE#sd5Kcik+2yG!Rdskg0yY>Pi+_ApEQb^oB9vMV%#`|kV&*I#REda(
z)mUjIw-3@I9>@}Ovjgl>kq!$@i9p!Wj0ucn+No3XC0--o0Sp&HCAPwd9fHA6
zD)VTX4b&1SEd3CS%>M*h(~|6Ir_r9S#0(2pgf3i1@Ff>j^^<2_sBjmwt%fe>ib|@c
z!B8S87QSHO2$uzr$o@s9fo~~yii7-8kbACDAmC=Z$;Jj#S%cxDQxJ;7=3xlP-6>j7
z9A*iqXu3!)-BoVDge#0?@l%eMX1lwfF_rO>sgJ;Z0J6{lCZ30tvWwyd)poz4-G-d#
za3dYuzEKX)1jZYg@ZuA=$75fk3TM@rIbah3?abP-v1Y|kEnoCezus%qTzp?ccuz)<
zDjs1C3fm@YHk&W1O;={AJWq-lz7fi2l8;vq6iK{~UsZBKxlj
zObmQSHU-TEgKd>2AtPK@ob=Qd(u=4oW&qQ(Kplb3Mf(z{>RK&`MJZpyF34D%uVEvi
zgoh!Fgpc`I!}g9*<%7tPxT1}~jIC(D3vAVw6>Uh1Bg)ph0g=ehF)_5z3gdg6gTaU5
z&epqmPaUQ&mcuciE2H4hHJrF^w;R=JttswqQO6&2rbcOrBG(_q8j<`LZb7;ZhL_+U
zua(FlB&CG@i}(lt{r?F|SmD;?hVTQ*tKKa;9>3>`O~D>m+;MFijJGOfJY$Q71td|P
z8i#bsaAhN`0Jm(UNFZi#KzK4su}oj#E=Oo$Y<#Lw4OsF`h#A=jX_%3iLANnc8y?_>
z$&c0kFV5Y+uvQAR5Rra2BmEP6NFV+P1_E~6)mUlOHH(3Du7gKF`eCkY!yA3^CI;$X
zF&bZ$jc?RveB?Gz1~)>3(-pG06#6})MBu?~XM8t?y~kzf;9IN%!Qm495LGn~EAQv|
z;7^$Q&%sJ7`K*z?@;-;A#h|p0a*^Po`#g}SDM)1AVYiNeoJ|kS3>^q2Tb%|ShR5}-
zu>{XB)xOeeFx-m2n`i{H_rlmB96zag)3yTni6R-j<1IrJ%x?WA`I&63|6}y$=FA_n
zwb$DT{^X+SD#Uk@{%&YnU4&eSzcEJzO_*r0^E?$2iLphxiNmCYily9fsKX7$kO=G9
zzJj2d?Knl2GEBTA1%b-K1Q|c$!sJ<0G<{Jnv&3^BwEQhcO04k%XijCtWO^gGd|Cbg
zR?04?XS17j;g_k8?6Zrs|pS{{c!9y&aVQN_BRKt~05c^#GA;
zQG~`jCXQK`UQYPh5R+aE;8ZHY-w@5{=EB91I7X~9Bw@ASYOGjd$hD@4XK7;)`7DgP
z3Ik(d-1HO+<0hX%Ec?0xJh8V2;ISP)3wY$|N=^)qpBZ#dmC(^s3_1!ri9uHizYoEJ
zy(nUv1(>Vemw1$UR5~6OBSOKQq2?H>?FcoGMMt!7(@wO^RlB>8RF2`Z058D6x8tA8
zt2PWTzfIPl@bUm)&KF)(6&c@SDdG7w1ie!e0?TRKhUY2*s}~mZ{!sI&!Q>o>{|zH=
zG#hwz^@dKjRjHTh7Hhami1JOXuQtZUrtn&@_2nv>t++l0k2_f96P`bMCppZgzR#&KbCkc3*A0HCb!J37Uv`U(J~Jm68>0Awb3=3)f}y
z&KiomfSg2!4IYL8*j&Fn3?YyB=5HC_yw#U)!na@z7CJ5zjYiKu$na^-5r2?lk9g{X
zjHf=3m!~jv+{#n`8#+G!q2vE-P;o9p$3JcKmAs6MLdQP~b#U#0q2mZED4~SVadRZj
z)dbFsLdRj~xWbS5Y`c&2)?Ci4)8wFW`VQgZc8hhG)lanY*o^NA5x<7DP-;$1kZ-Uv
z6ikmdCWe9;`u70++pf1ZZaHUo<4{n6zwl@0MhYY!3ih_k`x@Pu`3fsP>^R*J&lXmG
zxKYdCA$wRkcI8@$s$u27kxbfq>in72lK4gtxtZ*mEfl1mDCx6Q*5u_{>BL!Jy`
zI@nLm5B5YKz(%cW16#gFu<3^m_MQ2`eok?)4;Rw}fo`6tz>o9+VW%HD?61ua`zs0d
z@Df$-7Hkon!IR$8+uc36PE_!ov=bGJU}6+~(X-y$hupp8I8VWVNH$e6$nz4K$8B_4
zSdoLlM|~_`aF68zAb@#9D_jdN!C3l?AC11{?#V?X-jhb7h37=0f=7K+54!uxK_Lc0
zAqp+yCYF^(JEPISqduAy$Ll7NZtOTGie*q0wz{**(aG+fTr}c6X*62Aqt&blL1I7j
zk*#s}mxE3Wj6!reLbZTx#9GD+h>^+P`rsbp9-K?GHv5rnhr1^i*?3QWWcwp`e>up;
z!0;qndT}0%XSEgc2IH+tJW$3wjb=NQ_x
zy|AHDrYo5$5Jm`1bs7^Gc?hrNs(9Y|lWIS_563+i-phwCg5h<3wC&FvJnBZIvINAX
zN7#7X-Sk->yoflPPhlmgzR;Tam=YDngH)HqUX{Xu*gIt->LR&L$9o#PEL5)51)hQr
zqY#4%j3(l8n74&9BsU1OvoXpNpX({*jpPn;!u-$+1w4xG0jR`0p0Ox8{G{$eR;aUj<*@Hqp2RF&0ajkdHy2eDIirmauh##
z@%$1Rqu_e}OVW(w@(D(pZY=ZY&>aM0a#77XcqA0g9<>$jhT@s{o*_y-W%hZbZ-GXgH$R8gs)V9-*^oGM^yZbC!~9
zA5(!Q*C**LOSuGH#6>z)X9>|C49&LFb=Lb+DCeuQa8oC<&N`5+v(k2oF7qND*I8Sk
zQo_mtKlNK@-C(qtiNW>|jLAid=&UD0+nGd(Au7AhYULRz@1zep>lt~vzjY1~{mdeW
zcIm8_<{7DE`@e7lga7DU#w95v^i*CO
zVOKZcYeUQ;a#^`@%ieZt3iA8IacekEI77}iJj>ge>A=+hHt)zHXhbYW=vktIR$l+)
zML@2%?xS&9Z7uxdr?=QTg-?psRm+!*Hj|Z+GBJLEU`#GrL~s2Yw4F(BNkqjs-NaK8
zr(4RMp3Vo7#=Q)MVQpdd;^cW^^$(?>*OS%Hu545}efMMyPO+mCkhmRP%x*4s?y?_y
zqRx}aOo32y9zPN)CCttEsoy+)meHmgMsEDACK!{87UA&{w4I5^C8AVzBF?-87^jf7GKY>y}=KaX(
z(gM(xWG#B|x$*(k3w3U|_>MbCS1&roow0;RK~pyGPa`4VC^J|->K+amZP
z7m4_+Gs?RBV4ua{$QlB9k-H~XEFJGji=|s2<2vC>S
zqQ&@0(1`ue2Q=aykSpNvMn57=xO;LDiT9M1NKbS3l!HhNfI>uCE>*ORPRsaLK`QxM
zr`D`{WG-sGz>iw5bNA$;7Vk-?);VHi3(he_>K*Q$a!`u_P>5QKaTc`^YGHFqj07Kb
z@_f`i6c>3u>_?t2x_fewhxeqDCt2hDr@N;d72e@wBkK!v|2(&og5qcrH}0tcaJ$}#sDcqGd!0>R;Z0&DgNg3+yinE
zYXemEI8Cw5-II%0yeExVsi!F(@9r-LsTdfANVN!-2{tM%s0g-$C!OW$?s2#%RQ03K
zK6g(p3h|ya3OS6uKXLbzgEkBRPuipx=SL=@MOC;QwOgV5#aWL`K;~k$IF443dbmA0
zgKlLhJtF{P2Phtd1!2Jh6m)naq@2ZXL6+iYC>SazD*k7D)tP#RV&k?dq{D>(_2%C3
z8Ve#0Cd+Ne90Wh%#uW6r@<>Z?0aR)-e%-&K6r=F{$Zmt--#NL?7Knb3SI~socXOx#
zweO6@aQFLml#lzMNW`Rn6f3Rdl97<3HS~^2ey%`37i-4tH5{$`3RhPbRwEFL$ZPlg!F8ob7UHMTg5v|S;l|7#15hv@|O9o%r
zyx^VmA)e&SJl&rGm0S)Z7180bP}n0pdJPoMi|F3MA$egXK1#JoKFKY4hT1<&@5s~r
zHBf1;FuilmFg=!MsQttA{yg1x=Md8~1uz}DVx;~&&qx`f!H*oIxwws`b(fvf~kt1`px>Qj5ggc^6;ubf-$*h5!Mf&?M$pM5fx*76HiI3Zz=aE
z!TL^Sh!{Uxd0>09uXMIwn1WI5oKGBQSxH#-0ELdj({NyDLDc5D*Vzigc--voH3Uz`n
zxo8nln1Hr3i2_5CwrcAw0vZcfCOzxKcy^w_@_y15ZYgKEXY+LZ7juZ`m-yism@%eu
zOkPYJqI3R(U`#GrMCW`H+RmhNB%)%nVB#rB7A)n~
zis?6<8zL$2s093P_L|QBA5KBHC;wkc8@EAewAC7C`90cGaQ&?^>qd9)jKe_|jB*P;FAY+?oDPN91oX3&`7Pv{nJZPyH5U1o=6XdyK1?ts7cC+n_e0y61Vkb#CLkuBk_5z3
zZcSEhh{Pdt6<~g|$8_d@YYM7k%dcQ_Q1*crmZo^?vI9{}eos+tgbECA=a;od!j0d@%E*m*S@Tni>TF9|gKkc^J
zQvLLsX3eWS#qk;*LKzJwd;yMZenKcuu+e!oF^n<-G8RTT4M6uVjPgy;8t6JoMa|Gb
zv3^hEG`EIPDwFTp?LxXKV6sbTIio%FD2P&qPkPjlyd1sXHjxMn%G>59aAG&0!_G9?8bpZaMrvz2Y!3CwB
zTisqz8E=7E)*Zpv!`gIqeS5ZB-)gNUD%|v2uuc_npf$*jyjr#1QTl*{+B08EULn2r
zElz7Yqh!>3Uz3gWZa)a~h=w5BDOM#|)Hu$`PMG3ur1wG8U&}!=TI#amJc#;psOqv?
zg&tnb?kV|c#^PLUN7M)(L>T8sZ9l@wuE}~kf-HwpEN^K}10sN|Y;R78i*
zgu))t>@S7lc@gc7W`A3rq4p2c_vY#T9;h@|n7(h$F#Ux*L+u}?zmuo?Z_Od5zgqy)
z&S>`E=NTzOG|Ub$|37|FHF=UN(o*ht+x#Twou2hG7$Rm%`fAV6^W;R_nL;PUiHH+%
zMknHCDw=-B%d%ay?o_)eUGVa^94bw*!>e>eCeKNV5B_Ydl-+LFvVi+L?z@VDcATXPW<;L|Rm1
z=Di;HMO9-7!?fMW@jRnyvfvgPChOX7nDOIz1;+WRhub(|xfi!~ky&k2eD|R{x+QB-
zB8_vF83}2V%lqeNsH|&0hPBG27ahMgKZEO^GU0SRFsH^JW9M|zL0v?eAS+2q@Y;jB
z9s`_$Mim2_FrukexrJ_j5HU_X{)v6Yut^AgnyPgMz^{)|sw84&Y!3->sGI2OR*1nL
zuXW@~?GS-RieNZ{cpMD(b94$Nt4m>g{l4-LkTc?gZo~)i#5(DI01-iu@EdB1pN-Mblr|%wI%A`+5;$4kfNh16X!tt7|ZqTU#&$cOD@kV0PvOI0c7|ga1
z42#6zy}@hbe2d|=P|0O6s4K1%_kAn|@2{Y3)q3sVZ=3u6l>|hR;|ss4lMa;I=#6p7
zBsuDW$eA!W?Hclzyqw156ipF#huoLZ6nk!lR^P$0i3?#9TEYpk2nG?FS_*^36nj6w
z&~un#_??+z-@zv`#pr2nOtJG6cU*Q$tdwGjiPTo$bX>ZlJ6pzC?FL{3pM>W!6iOz_
z>e%hD70M8V8K%9H+)FC%us|0Goyjsa0x@QT{TxWqKO5{!K!C8p7&2(?{UxV&stva4Dww$xh79&Mx^=Lj
zsw_34;Lo&Tl4Zm5kRpTOIZm#%SuF>hF9~tO9Bx2d+-S*=4N&e@h@=T(H$!5Gg!)P!
z^a#6UJ62lBc|P54IcxVMTt)&X>>~2UQ};#oZ`R^+Aib!3e;@Rotgpq}~^$qTDRV+
zuAS|zciUS=>jjLirkIqCCQH+B5AINaH*dqeGSl$?jCR!w<^kGr&M;gz1L^YVugLK|
z6hI1T*uztAp;@=?mi-VL*5Q%7^)CoNV(+3GH?M|x
zn~uATwswS{@Tb^b+~B=_PPmh?lpZs^7<*!~g?0f>^d4A{{m?NnaJtTWIwqU}(@UYM
zOPw15(+jD%0X7P*4Q%-y!KNQN*k|MidsT6;7dEFYK#R8kGCt}6Z^{qw1^ob+n-Usx
zENrs31n`Uj@UHv-?`XB7Mq_NZ)YxXPD!r53J-Go9+3FsLOO!VGQRrHCPc91a
zo-_(ME~0sgyQdtqVE`1OO&{*y>bS?{qE*X}R?l?z~OIL=QEV1j25n2C+1sx)Ti4wyNBaK;2RjJG_z$Xa|MY0#817?_qzLZu?OqZ6IbcQ
z`EgV0+VnPX;fb{~xHIt<-K3-gnx`-GMN20ocxjRkoJMfQ_D?s5J1$~%c40nqvtrvU__ZD#{+$kY8E8e=v@hufjB$AQ-;L-D+b
zb{}|cqk72$n&qx`f!3z@$w#P5p)(RYR3BGar
zi_FawOSz5S3RTV=J^#8eDVs1P8+&NT;H5&xrBE36&iSQ6M^jPvr9wN<(Oz(ZnMs*o
z(j5CAHVBriC~$B*-0>f1aOlPk%mZxrNo9b3OfX+I+H}LnCzvl1jLAidNaMdl+nMwp
zLzJfIofFK1c}B`R>B9uG@KHMPlCg)(z!ClXIYjhg04Oh_-4o0yd4}3QOrM>n`w~=|
zs|jX(0Zcn5nC*E+$`EavVDO8oU!aV2g0Ym#Hc6-o)pvqX>%w$l!jL|}+?ygxo)gT)
z&FP>dZZ3i_r_owlyDkJHDDeD7w#ABbzje}!%zPdhCx*7pBltja*NJ$jP^3A
zwr3H1$wiCIA$LIAnN*uZQq0&gag-zrmU8R;xFHe*&x#-gX7A}z&`3eMw-n6yNP#BA
z7)+!eCvk4#f5?l=xD>pfhHI4q{M1h=_>9qBGHWXn{3i*%NnYS@Jf5Q#gxT+
zRfhwfBA?!~UA&!iKirqv6S0Vj6))^DcBIm
zjtO15?7T9CES|D+qjs;GKuo5)yPTr5ad@LRF|TexhIPCQ3PTgXn_n?PJbvQErd*VM
zK=`nV5`OBpC@nclZ!=jw6j53TmFCKmwhY?NBuWxdF;Oz{lq5=)ay$CWF_CQbyJZkI
z6aI8zd!WC6FPte{w(b0syWzHYu__m*i-}dO;)I|2El#_PHZzIS;|a#(
zqD5w=Jw%G=v9Ps>~2%+M?B;F_j==ok8$fe}Dgbu5e;3qFBNxgaZ
z)kcfSjIT^NuOJAMix!cQ*FxKwWJIDVCL<=6l4QhEZhJp?Me;zeFU^5WnUJQ-)U#7a
z5}z-6F(((F&(g?~XpUc134(HGW*SdqPG+qDbTfO?c7A%tZJM0fL`Qo!-OSK+
zGodSd+oCAgHvBO{%#7NltW*RFVd+6*NV;5>!uLUIEK$?plQZk7zuB4@%Jx<$1OWe#
zkf*nx7S)rPXmb7=sM=fBu8pA&cDA>Kb!3acf^*W%**nAgq03N@XA3`$u!>%;j;->07BT44
zb+j6bzGpFw?iW-vJv&9lBqQgofmX9#K_g;RH)5rf7**wJmDSfb8)L2Z1jZfjX8A^T
z&Ts`0v_`{PrOPH*5XMYprIyH69GK>EpJ7sb)HbN$T2?94Lv-|+dRiV4F8$g&i2_mq
zqdvnER2;!d*{OIEpBf>*2-odg8zFd_VgrzvzDlg3L%%;W^qRu)3-IhE0+Y$w=n##Q
z6(g_%vCU+9IU)3je=oLiYn^v6{U9RTz4DKUqXd#2Ecr(W-Hs%0_?_h+`5PD*%RfR-
zbDMwUygAK3B3mzze`K1A3r{#9o7D1;9Dwl2C<{sRz{4*S$v*Gm-qg?BF1tLypVT*-L_LeYwAXA;Ka=+Z;9+K+-_22oC>7(wRTx8-sX=F;t{qjY3Z#hWC
zfG9+&yt!X~>>iAZNZBz4k9ri3K6MD?w2#&19B1Sbg1f)
z`{g`$PcB07o-{(G=6>1c?k@+a7#M{}l_U4dQ{3ZlQRs<&6so&>a#4u)q*2I``(>ZI
zryR6l02HE4A9BC^xqDnLTHWPGt5>>va?y(Sq|quv?w7Z?d(1&I21p^AMO#R?Xe{X#
zm^1gwKe>nFLg0OjRN9(JBzxg5Q1Me=H+{z4r;9yUpPsl%FV1tnSiJ%Bo%<#7cj((q
z=yJam_k#w*2+mmUmk+?Yynnf0et{%D=(%4ajKC(?0vP`Xxtqg3_se;yxnH6Zl4-+b
z>j>>j@K4s=BJhVF%-kMl4cB7R=xDuOY&sJdg7a$Ay_B|p3t+EzEG4#VHJ
z+maZfv;jMh=2!BJly}mHqxqdY-A_U#mzz^XbT|TqZIK5Qnh?eiJq5+{BHDd4|E@ek
z?H{IJk*E8+q0(Go`c(xm?L3%n
zFD4Ah#-7-u9!{Y!>NlSI
z*fe2CpJ2Y6qO^P`7~Fa;m|W~YN^-HZt?r%|{rLp*JmPfg1cRSc2I$8G^ID_LOltR4
z1Y>g1A`{H(q3uk1k0C1i1oQqpBjug+VS@Q+p6)*~hlu`I0Ytken6Kv4e}SpiHtCzydDT_Ge(q+&BMMB649{G#fYqzT4SF53j7DpcPIMy(4Ij0r>f1oNB}
z3VTj4^O#)hLN7A&dE`8(l;8=&Pb!^L=aH1;V%Hk&Wn#mt3BKf_Mdpwl&~~OdL?S7+
znm2KjBny^u8PY1*m-3z!K?=;?)1_cz3fjG;VBV68{fQTsaVfZ+hHJH^@KZmf;BKS6
zWY$)c@k61TeV(i=wzu
z1u7*NOZcgu0&y(cMV!B^NCsAm>BdnFK^4DJCE$j*B0+S)d-t9)4$&#SVDz_1g$wi9@&9k8G
zOhO|O6%!g0Pf0>!DVIMzUL-U5+W?UwtMdqNU*n6KBH*$%2HzB|(G5D$9
z67w%co5^CJNX-2NV{*|V67xxDJCnpnM8zb=#8Z;QSjrX5j2DSb!G=I~Oz6^O=bb5J
z@syoIDaGEBVV(7pc@GE4MQH(4O0d@OQ@=&&WTQ7kzhk!eJT3+0p0my&lw$8y
zUL44!c#bm};WaJ$LVRF$TGV&g1JClq^G{t1Z#8Q%sSjzP!
zCtf5weQ6G4%7ipsre2ytB2Sq*I4SnN=f#{{e7-{?Pog<~RV4_@&0&f?vo~%3Gh>Rq
z#Tx)(mUBhqo|6nlNez}_fy8q!ekt}ALR-!_!=;czuiC22hIhePCr!?efvWx~_Vi-|
zi7EDu$B495*Q^0q5I7~f+?HZb6mTb*dhvq8Ag2rbS6_S6EJy<-$oiJA)HnrE2&oGH6u7?^fkwB7g>LEJ%Og$~H9#;d}JBb3)1^ax4Cr);Cuu^s^Cg!R`
z@H7qQn``f`%+PC^$L~N*wp@F$?%VsqE{r-
zSpgqF#eP;c()-g5*LP~|&W6$UOu5;fn&{MKHeBASuzbuLu+J;|3xGbNp(l-j>j3OPVR=1Dcwwn2yXJN<7#y
z;5pN#Jpff*bB@6HYKHM|Q*k}p+ah2Y3*7QGKuym&%u6@A7{CehLa6EubFwBAL*!@w
zBc=-f6Y)xvob$8)XYlNpE-6b)0}z26O9Su;7()Nj01P4KSsDP296E;oDZ~@33sR5a
zueqw$g#!q{!=OdsHbT;(!MOnwzd$HcnFcv?dC6PhCgiKZ@FFLB8Ac`@(Ldxg2%+|T
zK8|@gt$&>l(u7U-IIOf%umcEY_%SdG);@Fgw%JmB2{X*XC9zi}_hHIMlb*93b{T?;
zD_Z65TDrJzH%?lptS4J=DKgiqTI5*<^;!2CHedW#p;E$z4SrJRHjAaI9r4I=D*ra4
zO{ZBXPURmU7?X>twyp1}{AWPhs`u>C_}g|WpCL*cu=7;@OY)4AchZM5Eq|4#``1Gy
z*NmhhI(#7%_BfUQW+WpzOT&?4Q6W0zmH#3O^yb5@QvGF6d2iFE#;0frY32j
z^vo|{t(f(bja9MeFQ-rkhsSdl{4o`EPq!PvhEJVruV_}CQ*DaHzr~9-e44!&DkV&_
z_(>&BKc?ATMw^-V=kWw%a?v8%e-E^sN&7QIWuIolJR{|u^kJGkkf;0obBO3$3n1D(
z&Au?tQ2U4J*XQZ}HFJpRH_jQR@5wXN{$cv#dAk4T9Af$t1u*TLX1|qZqzuuvX%@ez
znmlQmwUj$To0OtSR(}sutXVgGioGC(GO;Pv*`(N_yD`JW%{O^)Wu4Jme-)eK-)mWB
z-=n(!h7hoGbg;c
zlCYMYIr3pRcINOq+nIX_42Eu
z%!GV^S{Ms
zML>LO?`a2-a@^;w?Ij+m!DHE*vlIZD8gF%Kenb+&dynz|LRHs1C^q2u9^<`KT;F3{
z%7no(6!i;?LHyK#|Bw8@f4MmDD+qWd!JJ%ru5|XDKFJ}>7_;C*`G@czL+B;2g)6pY
zdJDFQ?%+vB*5dPAavQob!SkN9RQjnGQyk~+FGnJM21fD>nStRL&6uK1rkPA?z}U{b
z1nO+}$XxmD*FaU+O3O;Ki`_lBXvTZ;quEvN{&LWafl-KN%jJA%qu65nDwv-A(E0vm
z_n2JN`XfJTHQhbAsKtBoqt>nN{&G-@fl-uN+&D>~R(V>X7W~ku^K|nafGHHOB>i(ZkNHa3daKkF4b2OU*xp>
zsSmQmHpq{$(n>BFeY>#gZ#6HTdb~t@7`}>oj42kj+zc8`*fqn@YB;-44%S3|ZBcMd
z(3u*ojF&r|;UL&kuLWzMN~2mUtzE-Us0={WZoSb7TBBjD(gkh=CLOH>Q=M8h=(d7N
zyH@Vjf^rppL4AWyOQ9BgYj_m-E|l?BC%{qXyDUP3TSfMi0jQJ^C4`?;FSKRjNei0k
z4Mtdt;aTvHvy48T)kgoi7u*~Vk4Ot>Jjq4XjV|B7-7}$Wb(ibQz`WMLU5V6KSe%Jd
za9Uc!;wdCs%hQbxo1qNJ
z7k+py^5Un&Iw{*f0>D(+OlEi-4UY(X5{(8}E`D1Pep1^@m33u98hO~Z`}|a+O*f2O
zewzeia#2-&!;7G>M?823if58viKv+Tns`c*UrV{Q*||c}y5~^|INR(sT^6oSLAR$Y
z>}2~fezGt_vJjN2wXyQlc(;RdC6lSO4gr}FGYS(BbJORqVPGmlCv%h{Aa5jWSOo+>
zsqOVcK<+i#bi>F69N3OI47rYcv}Z
zQxm~-u&+EmMQc7>k&U*d*g1{S*0eqyac{~r+#+`4#+&TZQtB@0b}t^~a&#&2s8x>e
zQ@`ctNk*HQ3ad2Xr+!P*8;v%TMMRmE
zUPmw{7cC-9Z-TZnNs~lWOqxtQB}tQ|+_vJJqDoV7wi^shDAT3s&J^r9~Nh#fww9G<}IsVU;HQ)Ng5e&}cJRL=1Bgfd;4zK}v5e`&JMO}TKCI5(w5fvmew=l*2&!|`!x
zItwZ#c;fL>zoqF?qfIxAe8sexU`#GrM4Gli+nJbSJ@>T(pQZ{TZ~KNtz_0V$x*dDM^|v<>cIypHoz6;&W5}#z2}(DAT2BGKD<;
z(qx~Tat$kSZc2-y`X?_=<8v|)Fp-h*i52cXDQ<^Rp=kIX86+$W+-3Dx}-cp;{
z-)dI_h!CiF7G7O{)
zKPFX9K^2)67G&_h^W*mzz?Jdz^$)0Mdem9QObZiECQ^9-k-#%8gjgvh-b@KJyc7ey
zno|>_wKfKZMPVG>dKm(|YV8`2>Z(%gAy~^404AfK#2$6wcBJa*6>bU`@##LOBR+dt
z20r5)fhg`XM|dV=c!kgK1ZUihm9lfjB9Syx)0!-@64W+*mPDiZ;+>hH(zMh?Ad5Do
z)Sa2E&4w=lokYbUo9EtIcb0XW$y9k8(J5JTg47V{|0cbhNX39S^dh}m8@&T!R)JeZ
z6l*4}D3YX$SYk<1ODYCJts@l!erKr|z6AqgsTk;KZc;I99&0qKBeV%whExV*qw4~g&wOt??!%9Bo*_wsv9xVYQ3;GGRqC!8~KkD-HTcCkz9O;~!F)6|?Wh1@k
z9*m?2aRSe>69KE#BjyV^3hSp~Cg9U=nys&f|IdW~*TDa97m7HB&CeJ_qY77C3|N|<
zGX{eW9!Nf95WyNdWbiW}PX7)WoB^0X9rj630Sqe?6aNtBfYd_>O4*s_#OCC1vq~IOs-khWWwg~A7gJ$8?EUkueejAONb
z&jFh*40FIvOO_<&c0ykAz!Zr=*7K4WXYV1mqlJd{vZKXxDJ8*TM-vqsb~JuxcJ$}*
zY3l&|Lr-&KM-P*wS|ya!s(V^N{t&RI3YpGJ
z87<%kWFx)lgJb~%GUJ)Rd~M!n9N}+pNb_U!9;wkX*~*Qei&?q<3DEY>$~}G)s0wc7
zGCYtq_8m^;R4eyRvU2OuhHhu3)2&U=8AmwE$l_z+VYG~H^w!uI`oYA1>M_P(f4xzu
z2lXBTTGwu+mB{zX_**6}$YRt71$gETb$vxw7~
zAye&3UxS)=t(umD(6QB)?!t!@!V&{KHNBizXdx!O7$B3`C=`g7*(l~8Nmz^7_*?+D
z=P(=bJ2M;Kice%V($n0SjTeFcoOxg2st$OV&Tc@icN&mpy9G?ilezg}Hfc91k1>l0
z^D_QH>NhepKMeRzp5`(dn*Sgh={;-y4bAw_i<_L$h{Dg};O58VJSlqR?pqZWq`Acq-@Vw3`l;e&v0nMJsE1GOw3}!#bIZhaFHb***1CZEFO&k{wso{CF*3R~ZQkQ>9vjtXvk5pCyN{jZz-_gc!gaI9UFKsDW
z`VDN>=Qn+l%DD7fDjVrN^WZG~6!i3CvmqK#_(&Yv{H**=w9`9z;TM4!Tlg&iu=}_0
z+W@VJg&#u*Em0P6x~DGuo_9s3+nB&?h_D1;v0*tRI!!`m2TGXZkzL`*lpXI$G
zPsc#D!IM&o1w^IMu1rm|%hkq|TvT-7KA>{FR&BSMxFZ1#vo;4{GowtAyii-NHVz$t
zq&S9K5SxSHB^;?j|LPKHEXZildPv9|F~mg?L(Juxb*B%C#46}IthAELbNZU~y0R7&
zRB1K4WjL4C+)EA&xQ4Gu;Xo?)@;$RA1(7wH704C}xAawNTA>yr5e@F9iN#1em+UQRey5Vu||;WkWp5RA}BLYulPacfr0
zYm(F!YxZ>ju4^{~zcXw0pYe&TS$diqYxV*(|A5^__O+%VA~Cx$dv>ZZ8?{=%mQ}sl
zQG<3<_9%TU!jd&#>yq+yz_RM7(WlLfhU`~lBfZ-Xjv*W2rXO}}G@kHBIJEh(V;`Z|
zvC4S#qj_LXhPSfCV+3W)jQv-Dx_@Tu(k-B3c<>Cv2U#s&=2TBLV^6yZ_Ag*W{CF4>
zHHa5BH!V`jN!ATd0FYp^Jr4hP1)3ZR{7Kk5nu8A5n@gK-jSq&zeEle_w373Fy3Kdm
z4hwB@zltqce+UB7HTzoFF~o(2MkLt1MEHp0Z+$pt
zdku%DpjiWz67meI=`B=)WN?`#bo;-gX!iz{$`WD{9F
zqosHZ6-{3xWDGxh8Z@V}U@{*dxIC-NG*-$kp(Uh)OG9&EmFhWrg@}aN>i{u(KBFdL
z-brY8V}}zHvD0T_dY-@i8=v6`qP__$WhbgsMHZ!npBIh=*Rc6~
z{A;37vLt&j-v^Ec)?D7Mjqz+i;bE6%obP^4KqSp&_*Eq*lw0qIZiy$~ioow?@98t$
z&r(pT%yh_fUJ~N$UBpZYqt?qOB32nv1}r`iQa+BDDg4fSB9B4RlTU=6=Ef(o0o@4u
zTI1Q>A&*LRhd^@$JRu?%p9GA=*2qP)jDHm(Eq_Zkr3vE6fI^k+bs5d*^SE9%(wjLr
zJ`X}DE$a&<8HxrH?!__9kE7ry#ZiC*N!&Dwz>E0^b^^Hl^AS89TEnRr^9nIU&^mS(
zr*o>0V72fObX(mrBo}IpL#k2{$yC)(yJRXWnKtYp41?kGIVeK==zMD|yTGJad2l(C
z(050KzFcmAjLVBx`=CZxqOZV8lGrd^xYGv>?y(S-AFCG{$5}=awC5}alzxZLaL9Ok
z8`MZKGKKMo!_GK0-c3c*7lEGZhEMnmPf+V)SSdTT_<0F*wAfb;)qZ6qXJXeW0i9)TmYt0b(&Hu?#G>)J2E
z@60wj=`q4KqNlmBjV^0UOt#wHk%?NT-e`@mOTkkOCAwie3N3dhb+q+Rz;-&5&$YH@
zOE?T11m8}oe_`!2XE8hBlHNr(Ze9(+y4_8|8iJnPFTG~#P_VgL>r^0^e(wlaeU;j#
zKo$(vY~2cJ3^7e4EGAYc^^8UOMj(}HgVnz#`&|$SZ3<6PXOiW1kx|Q-0l!~1C&90R
zGR3Z3?9TUD>Ys5Xt41bT)v57XXMw{;`w)^YGE>(AXsC|Tt^BJ=`{PlAnQk4jg|caY{se3;knZKxS;|U=
z4qt{a42Cb^pon?Y&~Zw(Smro9C>cYo90uv|7r+2s6yY+L$**qn@qIG&l|&fL2ygMh
zmM|sXjFnb$t(Cs>caBhFL5Wd&_&S(0X$ue^u6{fxJYI0l5W{9b-RBtTFg~d0g+8SF
zyoSWRjUR+c3A=yzNu6pf=CHo|w?Y}En2NP`I=r7Z+IKRn*bV#)!JAyPfO#E$5!zNg
z^M8TAKL*M-Tz?#CAa;ktU?`Cm+YK~v26K>gH_%epKScIbP{U=wC}c-G_L=OSEB;G;
zh9}6s87pNc|4Gt18s-Zg_JBK6MrZmay$qc=!w!#NMggkZ>6M@O3%XSit
zonl37b6t8l;U_@+d$EmESBX6oVIBzk#$Ac~350zn*}>u`AapzSQ1CnR6WjpNb0^1JEU?t$l+K!nhvO&Hhocq?cmwX{!VxuA+TW;l>sxlTnzf;zj(Iz~{70oV
z-fB;jC;3l2%Dd(Kp`hF7j@S4*IR7|4RjpMigtjv>4oUR+m#I!|1kM6uKjV$jEmvad
z^r4_#>rStO2b95tu?xtFLr9eGSl6wRCi8$hfS1g>0mE>-=x*
zsKbpfsGoaiP>Lu~(%16?5or9gwxnM|p9Kl|FP(aSClPORN;ntu?}DnZbh~6hw7~8y
z*dls^C%vZ+yL-9{nlU{|;U;(q^EB`2TD7OeC^@1t_CxRQv+n+$WcJrPzB4sRPR7ne
zx!ry0RI3Y-8F%80evJx7vg$Ov7jFju06&@oW`!c@Hi|7}-^IAZPkm(HcaO{!{`_AI
zrmQskmAfYw&3I3KG&}q3fV@r!$k=}x9EjVxzpX_b5U+3RP~Uy
z4ep*?l;b`5QErR7zZ{ffU=*UhwH%j|Bx
zxB<4idr`E8Wt+q$<*JOw?gVcNyNRVrA%($I2Xj?1cgk?E9nw{`n&UIUXf4>+sO^U!
zc{r6;4jwlJ+m&$H@eWu?!u@5p$UVybH7MmTd>ZoSU^s(+ypAp&Y<~;UVjl+^XfgNO
zmw)DiBjFdn3oEVUvXroW87_fs96i{e6b{7RDXi5d4^2>l3y^7R^9FPZBKJ%-Fw+o5
zvbLtWlT%${Hn<;gI)DQjc=$DP@f;dp7Dm^
zebBbLi7^B@&QtAbZ&Gxe_0zIc24m(mrd=Qf^z&nsCZTLGJHWLpdkB6@9|f=R%>DhyJ}VV6X1&(`d!6l
z&S1Sl-S#8|Ez*l}b1ytGtJBDd5ILwtT$DhE;WE73OG3E@c??OYRfFIsKMmr}ituEk
zJvYa24e~^SFS%$D4RRy2ok@d8B*ip{iK8S9VkuV=WW=yI7gtAQ?q#n7l5F-Fp0Xq|
zd3(pMTc?T3x^=>RaHRG=>Yb*kr+X3cWa!ZXN&UnpEnaZgVM3mQZ`}S0E~DSL{gp%T
zKgcP6B3b3nOkVK^)c~0lg+OkVGMBaa4<^5|(9S7*6um;HOpfU#f&kLa%c4BIJBLKvn7&ZoNeMLiL))`PD~(v#L-D5fRoMk(mDBo{&F(h8xV_z3rZLh
zM=rH(0Y0K94YXYc(wKBA?ZznjZ`mc=n4buoyKsttH8UJsHiOAd&|iiZZcmPvXW*8L
z@o`E!*0Gw?)}2glSzEtJ%#!`H)r%duxNIVJw2BLU@)DQDh$1l)upc^vyNwnz3CvD{
zFu7=vso;8OJCndjG{pqQ#8Q&LSjz3}J5xz?_xj&92&p-SbRoSkg?OIR%^Pfci$Mvt
zMaG%qyIuo(s*T=lOg04K$SMTofQ74qC{}PmUT)8zELY3ja*3uWaozxKsHxOCYo)!5
zmzRU+g8MvZO=8Us7x;-X?bOt&jV|oejLy*E1XwGzt)gw;_vEr||0rom!hM&Q=y2h_
zgRpNEZv5mY+=yf;-1I|-@HIw@$r7u~hOZb^tcnJ0>SNBlI_WMYqH&Kz%1XcbzoNS@cr9p
z3(YF|W-tqvdGocT6G{8OddU)(_RkTLtkRC3`YY`}Fj`C&VMW>>APAF-7LoQJLED+6
zU7{%_?IxCzq}@_(Yh2pB7)O%7SF|ONFB86W`TBGUVPf*-Y%*ND7}#wvd_@NDJ5Pv-
z`{EhTD?N{j_U&}zc~|P9k<6Wl1b(`4BUVb;##i>|_b?ZtutCu9U=bi})zBClLN9CV
z#7%(4ht1;IvZp;I!;a^s@rWVkrhQ3yqU{_86yAg%Z0@50z)@2LGv2nJpL8*P*&v%V2SPE-38N
z#o}r%sL#s|de7K!JuJ#Q8%EnR1-Gtw&&>?
zo}Af)1-fnY_`&?`Lvo6lJpyngV)}YVYD5%^YU8c0#2%6(vYoKZcs@2lOZeZ|Ui_5m
z;ew$EDE-u-@l87;s(%AT9KF!Tal}kPW^#95G
z5;(hxDsLeKq}dlmZ5l3XcO>Z$!e$_7hyem22}zJ`FuZiX&U=^ce(ig&6IymfaCt7H
zjlzs5I*dDtxXkE$?usMmr=OoX4&sP7qt58(j{EYRb85L&b*t)Dz4!WcnDO_++?quhT$Xv4XS3scMOLjg9na9t2+663#vU|VEO`tH-x_=Y6^Q4rV
z3m!dbG-t-k$uK^mZVO}cmXRu(u0nO~PoItdMCC*8Doi_*Q{I!5=q)j95|H;ItTezK
zk|QNrnM(}{50x!Cp2G)0bj;f|K^tq1nN#AhIQv10oFHR0sv|u9Qie*7G-Z6H>Q8aT
zqkrY`2BSS=0M!o~6Km?%5`FHXD*BC0Q@#n>RRf-mBKA?
zxdcxkXEu@dWf4-4Y+H3RdA3y@r2SwFTS(fUC%O39$3qUtzAj5UGUV{XnC=Ow{|8nI
zm%8()BXp@2zXrl~R*?cFr~9X1>Qzsbz7DE|=VrT!336Y*gOB+zC}JkuFYxQ)aw1ZN
z{Et!_uZt2>cQNiqP2B~;lImcYx)ZxSM>XMlHg!MoJTY~rr@5KBucE0`qgflNG#Xo3
zST*)U=M#%(bNUB5n8qKg0)D;KA%SdqJegk$a#F{NusQriMlHid+UM~2DW9&ZbNDs#
z1Fe_L(;QxxkL@_;LoDhirWn?Dy2~4ree7UXpD`*eV|(*3tG~|M5AUr08mQ{?sK%_m
z8Caap>aDz)^I82f+(z!6+h?Ta=JwBlPIqr^|5junpWE*;mPIrCvw<@7M1?c_F+RiJ
zjDCOfW`RG4hG77hTtrY4mk_3=A>Xc)7^Uba(d<`_Vv`GNqvi2rXt*&k3duz1izQm^
z)#s#hNZ*f~=uh9r86rk;!^!INJOCa8yN;_Qfxagb=-h9}{%j1h1p56HRvO@rv#sdE
zdI-N`}TB|FZTk1#yk3JlamBKCY0b$Dd<3MYq85D+30(31kZh#&%6SeV
z=$z%jgd^0nfWt%p$lx|H&p5ML2a{=gi}7EP+_8lpywmnCLRFt1GN$eSOvUwlg8ej=
z;+@nxB1#DLd9wUL*Oec(-;sZ3l!cyU{A>T0d`HIdFKI`{6`tL>$N4@hXy+_rMuyuR
zTP0UqoCjPogG)b;tm@5yaYq-sGI!u5BRLm%xevO~y}-)}AWML2bWJT|4o#Bp=PFeg
z^;plN9>dLRntZxhDK(Q3*v?dieMz{JT;Sau%Z9HJNlJ6tkDlaGtcziqfYNKR(g3$SM>He;c)7F0xRj+_=z1nV
zkE&m!pqQH2SuA9G6dQOfWCSWXVj=iSMHQXKLasB~(@~0{+aeY+L-e_es?&?uSjY{~
zwi*jrj(^)?A(BbCScu6ZS1iO*ZgG@iNKes7OiOAV5BxZK1zGm;q+geN8|DpH+%$mO+t8ZLU47G9f37c
zDZx&4I2Tw9ula31`gtq+C|?)6(09gr$D;0I=h|;d0z&slL73
zoK2qzZ3kKEQAC8x3h}M#<)GZTj57>TcOnSM!R|E)R%}x2H8~pTjwlcVsxY@VRN*Ll
z^L|~#{sd5tiv5XckhCaE?C-C^=6(By@I8zDrO+`J`=h71iT$yCL)T1<(~a`6X-5J3
zhD6gHMESIRL!vzy*Xwbr(Th#%3%WY~6-F(?Ionf>@KZj`R#S~`lpmP4?LtB_wj?9A
zF(@m+wsac5O6No4+1;{7w#Z&!@HAsf`etlz9ukW_?Cpm)LU}(_^$kWwoa?=T#d(~|
z%9}Y)EYh|MNriA;51$d4i)_6Ry4$_T)+5L~o>DYlJ6|L__+94L0Zlm47lze_cv$V6
zHIvoVn_(m1_!ykf$o36gdf_^DKRlu|0h_`rNTW=Dgw*t>|H+9GBctKUED1fk3Om1_
zv2*TIdHx*3CIQF)fRzTgt8xUt6gY0#NMujsz==b<8;K5C$CNNg-eQt|090~>uke)$
zUkfMc1*tqkMtfd;6ydAmh(32w73Rl=ubv5Qt1$oHL8#X7m1I(GLT>WNH5IUwb7bmB
zGxntNn5}t%GQsqH3)rZ@bX090n8BhvmFKrqw0K$^c=`KCl!EYy@l{wU+!BX_QhC6?
zlPi|%7O~YbDaO_W$K8zK1Bv$q;o?Ppby>WTi94^2>7H=7uf|H@VxGIiowo;5uezpm
zB~%NK6^88`a{8;kgOB;(D8eTUQ{P=&PE6jB|50k=^+{s#E(UrrWce%c#2o>)q&iq8
z@5F9T;tsxNllO=5i4u3{X>KO(r#8yXt$3(gnND>poW09jofEvdI(n-eOx#nxrmZ(P
zw7pydO6oIPt2;_{nJBV2*-;zkm$y%p8Z1j^aWXm0f2&t&{Aq;$I|f%nje2fx-(UZ(
zz`o|s(y7w4^Oqnv6`trAA#mFHQ`t!Crrzi5nBC4#dN(|bZyp93@I)4Nk~J>zFD9?`b+MSBIkkbmp+AKgCvM|4jAlZBCS
zacRj)3*aUF4%E}LPWg)VDL<95GBic$JpY$`DN6iHaVbjA^M9|6J1rR*?tv#j)%KQN
z&?c)r@U0LQ`$Lyj&EF^A9i&&sN$Yz5mweLVUy75~EBxPULt2cCj-<60AE<1y+I@0b
zND3cyIo;#$jZaQ@$I0n_|CfAn;$MoB(~=WPu}Wf?5DCg{0_N7uCP|
zJLD79*W*O>1OJzNqT*kQ6V>DX@3kQ+Mn*@X+LHl2o1k_Z5n_TTT}b<{ZyO)JUWOO8?eH0XKlhi_bFQmo)(j~Uq-!Gq8Jv&Zf7x};B
zlNkS!Cb59)(6{=(*oMp)A(1jGF3uN)vYAV|8~TLaBtJjJI#G1zJ7-kpR)zixre57!
z6}lDmi|0Eteoz|ikNNzraA9V{s!=?~jS}YIDwXPF6)#}GJ+_$YJW59>tM{xdru$Xu
z>@%=S%ydaQujZupB+2>h
zF?GZ}JoG{-o|KE#XqF~NX!kdq
zHpt&%x;>o`3wMFyjYxx#n_nG;Q)LGseBG?nM*Cp1c(YQ4tG2hL<&kExvkIpaK-w1^
z0X~Y_3R9EncDTD+hNkexsT$rpB$B-zh6C2K(?kV<6cQ4Hg*OcF=_tPQ?5>YPCC9Q9
zzEa~ph09X?9`=eJc*{tWqqx(*7~j|9PKLdSWvs7Jf80gYSaIw!*1tmA>N3`=@NZid
zwq$B<8O!9UYZ=Q@?x37(CW&04^!@imQa4Uqy0C?_H3oV)_@9
z14~bNvM85*nnbnR23=Kj{tu=92<Pt%dAEw$*^0rTXOT%hCs-g;W<~`bBIt>nN_my$vZF
zNbg2Q9C5({g|lQjCDS`RcGDfgKRkBRo!#&d(lT0Cnjh=3E6Qt)8!3t9jejZ-8S;>4
z;r}BQ^=ILqEOKOrAoo7G4lidT?~INYobF^3u3(1ypvEwp7F{kDw>nW7Z{+GL|Ca0|
z?LEb-y{4LS$GHqDIUFaxigKI<>-py!?djHK(#I3*&n5cYMK#0uF-XN`CS*tH>xG?(
zwB2>kc90`vOft?P0f~yyU;#es!r0bMXZd$5>C!(}2UWVrlSYrwIT8}Qqk6kDsHAh=7j^}p?
zluIKOd0#KM8=8tZy-LBFz`LWghChLE9$S+0Pt0}4Pd{GdYf*oRt%sID)|;mJ28L*pzR<7
zkc`S1fXOG90a(f%j|LE+4w?Fg)&S)hEOfQp+;>Qu4s(KMQNoU^pu6kax1XkiPAT26W^lFTWtbg
zb=xL>X|(B9bj2oqMl`yMc48BcL)$?%AsLmk36oDQo3NBS18t&R^~h|bqh`QnOv;LF
z=9>i~iL{y1X|-CpO&Jd7r}^;|GG}BQ&cC1uGmpb1)rpDPHhIpnvBf4}>HCC>bk%n2
z7IuW2${35ncyO!2D*h2^?F%?3@XBn-nKrd?+Bw&3EAAYGz;(|65o<{KHC|5<)bzJMEv8
z-&%oNdv1+VPQJD0#aO9e@m1MmM?P(GdSV*{;bEA}96=LLF56i~2T|I-9Y)ig)n+A&
z(ZflTEKCpD)lnOnB6ZXZ=++xz*hO18W&?DKYXP#g%UTe*1L#9B-4jdk_hY4SZID5A
zZFQ09FbLWbXMZr5st&v&`*4t3e1PQS_RZifNc5j6E+=;JAP>7NdU3`L$C%7%_@r~*Cg36;7O*UO!7
zvk$Z#q=dT@5w39;->N7E%AMLK-=)H|-2(VclOFE?O2+e-aN|LJj4~eY*Toh%kpmUA
z1x}>3N%OF5fuqG!&lWg*&$hr_fXYBy;ONP_1
ziese8f#QeO5t0JdvPhs3ZF9d_R7{#jT1A`dPq*Vg!Pmqd05wKs4WfGp=)P2t$;ZVb
zub&;N90h&ld=dR_?FH!#bvRUT7LF&VjJA$sj5$Lb`wE$B#5U2n+13%P#1cpEjlGH)
zX|2i5w&4j1if+*s<=_mQ3w8req=FNzcWh?acpGPM=qM!{XCRSoGFc9Qa^&jL_A(`S
zG^!KRCIq9S%BWbj}qdboLNO^u9c-$ur
z!I=`@%9QvPsgky%gNzgs%3Ylg^-yd_)0Fpb!89Kb-}ZWG0+nT~UWPp2+E^3vxXLS%
znc8$R0_kz}@+fFTy}E6>37JC8q%=9Y6q1C%LaJjkeeeSW_F&G^gvbu+4CWq7btio-);QvVg)Vvi(v)W=Hh_^V{h|W42Rw!e
zCCE+5rX8CeU)%=*PA*xy<-83SZ%J0Izbv_A)uv6W)^EA&44QG);4N4$Yo|IfHD1N3
zXsKQ=P11^A--T;7tv(ORuR43}y0u#_L(qE8+AZtXz@=m7Y}k~nN;aUicv{zvvb)2Y8>I`x)zb!u;yPTh7H
zIDtlmj@+!2cHn`VBjxH2kbDWw+MJ@5UTN#)$#NY+{u|MrN0N2b5m*f__m#$LliQV;
z1$Q_g`n6+tjOSw5dQeWztTdZbE0!+ZxpU|6_Q~ntT7COcXa!qnEIo@^{t%27)t(WQ
zWzhBVqacX)8B(m=EeH3*eOwZ`N&Z4oX=rBqkH)v$GdnstZMt5aO+N~C5J|q7(+YzM
zWLSZWWYhGQr6)Rwwv3O$$L+7{V|zI7fz}DtAW=DZ*5c&M(Q;#CD{OAq3iOV^U@VIy
zgJ+!u2p2<{z;-?Zk(?)?{=g7w*e$g`HEJ2EU_Uw%KV?piRJp20M}AL!ptZBNC|Qvp
z&gCkdzQ<}zUrkn
zS^7Mmb!9*3#2j2e%+rvVr#pyA_kkBKdfGjVkNYx&D3~;8$Je7=g$wuN
zJ^kzw3|uP`Witrd!o;?Mpy}?#izseW{sinl&5)rM2W}ngXjtE4ayGWX7SH!&pU*x<
zp5nR2M|7Ky+hOt?Xv-V#bMG)&4^`uLm@J1{Y@-mW4BKHMx`}aEw!dUPeGTah3ex8y
zQO#gmV|o>o!`VE@{$zZl^Ej1>{S{&eN!VBhIBEy%+rT+K+bqYnZom=|UZ;S|M{*{{
zZI15)g*g{ME+|lf`5cv#-fm96A$?R@#r{DIh<8(jzjW}VWHSxU+KqGv=lR7@ntra+LMldY^b@L-
z7l`XvF`bKVl?dV@^eD2L!yv{D8lP@K
z#<QB1z{DOa9_%-jqA=YDmij@YqP`kDl
z{&X@_o&b5p@+)ae<)w?0%N8e>Lxcokq?0hrLTnWxR~RV4@fP#Dctk_LcqG6F?6-xn
zKCJ6Jk!x?L#AfNqkbwa4mAVe2!AvGSeWPK(KB%LOHvQt^sa!`Ajqajq(n9PO^JAfH
zb-DP5pb8mslvuGpWsK4~oZkOr;1Cfaf@Q5o5ll+?A8aBCSkubmY*jRTf=O45DdauKZG
zphqi@!lEKy@?q=FR^O&!0d7y)Z<2F_7+)PFckbt2L7fGe=J$Kzt0+HLn6P?}(W2XR
zp*XmgdkazME~jxFl1(}DFuCM14@GeXEmJz?4k7icRUI1p>*L
zlDA2b)cT}=R(U!j!jgjUfH<%I$5gZ!O9dvi{udCbnuJ>`kqJDj?FU$?07WT5i!-*=
zr(w~UEeH$jgU*AmNAmC=EEhE@rK$4bq&(gzC+C#l|7B33qc$?t>Zlpetv|%Di;}Z`
z8?FV&)-G#7WK!$XFK$B{o{E*iwITDV7MKaXhP{^}qk&*Jn63_dC;xJg_k1Q0xJ_aOe8tZ)q3RL%l_G7g(2&a8Hdt)u(AAl$Yj*DJrti4cJ)ZG>+vR@N)SKB=!{eh*t`L73t+4PEX2!yrs|C2?z<--Wh(
zW52E;8X);8RE=Nb{2J6^kt&ouTjMNd01lXZ^>com8>uI1hR-cCzyv#Go`+tBs(c-)
z;Gm)9s~&P;seUz`TPr3KS^l5(oz#Q051Z~!pN#(~zlL*CE`k=_Xj
zTOy&4uUO6f66EXn_l1M=4kaRZ_8P1-z~%acU4ndXRM&ZE{#{VXu>^^))KOVOj%_YM
ze#U6iFCHG8|0L1qE~?_W*d@r%LECD0>1FsgopO!9P6D?6lrbuN3G$J4ddff2$r9v`
z+xhN)LM7iYpmI3q2{MYqz9q;7m+1QGRuB{;*Cna%xiuD3-Cb)emU3ZBiW2sQ
zFF~5$a*tN%it+Bvw--nfS;3be@1dekyd}sJqvX#0++wKY@N@Vo%Fkutaz|`@jnQI|
zW}ZzHx{G#VgXcoqL0(R>DQ6xgmt5vyDc8y3VP-U)v;u}<(p79qiwXpiGbL}6VhQps
z0S3yKAQ6@nOwh#=&H^Y~Xz@&8LTi9>
zyfLP~C+22Ss+KiG0(YJ@M10Ry>2|*q
zp6GZFddjWRQK%_q4N-*4fjqgep);d!4eu3&-ccIXTUG2~NDJ*Cw+y%-(-kde8LT$cg^+otz=U#B@zo
zS1mXR;j5%#oXwU>vwiK39h#zwT*A}VO9lCY@xJv^d8&ocWLI}=
ze#xr|fs3YJkd3r%oo7TO**-5Tr~fV)VM9&cmD5L|s&7CL%ZGgB^bsmPmn)}#Y`-tR
zZKp5#)J*k3qU(I+G}E^9TS#NCR!$Ey;i}LzCz{JB&7rx^0_7c}xs---I>_Sa%Q8U6
zxI*so0WL%Eai4^;wzPv
z8Z2&e`E=B1(=Q&rdTI}-a7__Y}EIbqcrsY#qb(|Po=)+)`v`WcdZXu%FWsGsrfDU
zki}qge|lblBvGUJ^645X`ovp4{XbE1=YH->)LD>eeg`MMit=;WN`Yfp;QL04Zr6q4
z;9l-~M4`KACpP#)XgkQuNjBxo!{n07JS^opS@@JQ$xe50nsgPL(t`y8$(fS3NwIu-
zc0j9q-3?($LEu3wpAJ*euI=Dle7SBCZmmQn@a5A*Sg8O-Da)s4xt33z;SlR4&Q6=j
z6s*&hAk48chHtbCy8>$XMqcDER|n*8m(?M18TN{p?g_QH6f1?RMdn;Bc+=r;r-JF~
zz=>LxVVzKBoJ8fd8j^msxSWtavN1~fes9E=VNU?Rp^klClEpHtnBz&QT9#o6Bzl%%
z@jYAU{5$9vTZW~l+(IWsuws^B#hL<;C)a^=W)v>N-iI{NGVJ>$b@Y^@uDi>yYbU$8
z3@cje#xksEs~5|#4+76sr3_n!{i;#RP-XivEPl#oRq8VA1M&m&7MvDRn7d`zAIMJH
z0*WEauo;`u?_*=0W!S7cY<)~F!^#(Obf#t4#|wxHT86dK*Mnu)-vIH>z+FaEE^zlL
zsMm4ePAtPB5dbM@8J0UzFJ{4-QfELRB3A79=eE?rmMfLExYE)}H?shel<5dpB
zM{^mr=~{+`D+7E>u^YOv6gxj3mtHhohaBlo&*zL0tAe^lt4krAtGmL8N1jR%X%CiT
zg$_n6$BHUqt)`+a#|rWViJztJBbxj|$
zF=E4$>oQ7nsICl@cZ}*%8q#Sw_A|(G4(u3L$X#wn2F>Gc*01yL3xDSwXhg*5t5|7(
z3-<}T9Q(7VuJdJzA44U_axA`5XT=&kZgV+y;a}-(`o+T+Dt3oTK2N2B*4X9Py`XJ%
zq2eLvbcSBhwD@u?V^sKZ>=Etslz*g?<=EkNzI#Fhhtp?3;SQE#qd4qaj$PAEPo=)+
z)|*Uqcda*B%FWqwtobeXki}p#9F<4*>^CdE9Q%DL`ovp~tw+h7`?*QdaFA(!ITl|<
z`MGSxz_C1Vo6(|Q9Nf#@LKM1-s$MSE244nk2YETkrkr`0TymL*rQ9yD9Ba~5Y)V%b
z2m}WQ&6K=Nisjhv1sEt_e?wSO5P%TNv0rAk+^yZLUy4#-z8w1?Rw_VIN@VYB*K({k
zEMi@f?M72FWYOwIYY_7Iw-_GM;@r0a6ppI~^192a5xF$`$C&O3p#3|n6s{tfqqSg9
zhwnY;O5K~!i9@w4%{pPten5~9y^4{$ueh98nngB7N#F08_|ohb!H1~hpqq2(`S>xm
zV!kJ(YFU~k!01_;#rJIS^SQtSwlqsmxy4V4X2mSciggAcPp%E=%qU!%y$ETdrP)oA
zI(o`cr!LKA9~nw-hP(EZ>*tr?9@Zt>`GuZK*mZ)lWpP%pQc~Z5Aug&fiOb+obNVX%
zm3^7iq5
zfiOVOG`w;E)OfzELH#%pCZ+AgTSr@itP^LL$4i=>ooyY@N-injim{%Zk=p6?T_#1t
zQ!^_@Ya@6^Iox~)S5Xua2B%B{r&1~4C(a%8T*aO^1ZPTq6I1dVq{`ZYuWCS%`S^id
zLR}PF(=_J^cojWYp(h~anJ&GW>C!7>bt!FOjUz5t=#uCE$cyA}U-%?AcN6}{RpWmo
z6Efwxiz(ONwyRuwyOis;o?Tw=yC)uQYDYQa9mLh15tLo))yt29Al_+6v2wQ@^$+)P
zNt`+1FC>+Q5})ojzU7_^&|1`Vy*itI5bEGS_hwEjTUG!W$);Poqr~z($-uGz!79YX
z91HI3_Sf~XJ%IQ?>x{Jw_O6z&*Lez!iO}FI=@Sb;*|6EV6FxH7;9HVE*lep8>5$(w
zgddg;`JYBDLuKsgkoYOzOjb>Y{I>i+>(!m@!8U~&3%e~6#x>!}@1;Q&0e5*NRB=IR
zJ!F`FmQ1i=&X9D;jE(7^urW)zq^WemgB+N9p%b_7^L?|vz}yZieeI@84sB&Kyhe7a
z!BU)lFEv$QwzaTc9;=Sdru#!DoD1w3ak&NdZvry|7TAw0@E)`2>+ztRJ=vMjNDTT^
zJjI4di&ohm=2}pgKKbd>h6xL#A3Ju63|-8;07je&@xR*al056xZ78
zigT9n5#4vhB|NS`mTl8pQ0HR0Y_(OD^Pp;c!s8OC#g>dwS}fsFbQ5GJ?yuMdeHQ5w
z3fSj@`P?`Fvf*XW+h>32@+dNgm
zxYNd&;l9n&+o&cSC^IqLXeQN(sqyked9q1&at@ZJrp9N6z>3S`iw1dG+~Q-E?Pnh?WMEjv)6T#KwgX7GeVswJVOAq=AY$wTtLhF`h3<%%cKLKc5@AvrNlV
z3p{hK>M(uOKzE`u!0+34F_a?cC9Lw0z$z@0XQ=WO@k49C9OhX?ZiH;gmF^4kY*}L=
z=LGZd{4c4o1YB2D*^^5wT5ApHyEwQ)6dV1DDy^UphPQlAN&N
zKyTvbolw;`K#J@~p7?otU~!%-nTaT!MH)LwmW+pQt*6?R*L?#>MsN<&T?ZZL8l)p&
z$xz*Akfj{eF(#28yb<~3%AHhV{HJa%v%xVpwu;-U`M`(cFb;?#wdu*G9QWF-E)_8S
zKS*eQ`ejaU@CcONfHl~~SYMQ#bwf2oPkfzG@CIx|!rPqLM~AK(+6
z#7j@Pl{|9d1DxF4il&Mt6%qv~mry-dv2d;NSCYcVC57~qqmb61I=#{JIUC1IBW2TI
z+(+_qeUnfQf+43A4Vu3!$oYks(eF^
zRVQ6><}uCkHO&>t;0Pkt!Lt@8XO5N|BU>BQ?OUNcBjpu|ERqbKb=H-<4RFO&BMWHJ
z$hQAhX12l%!onp_HEJ1FU=Nqzr+ipl4VU!E542|I8HiX#mfKQV917uc$l`+1Rgr*B
zkeslMl_4>cjF;&%v9Wy2+D
zS%}x)0sYwzdKYeNzYEv4(*=D*R>w&JDmhBDs%Z~{d}l!K^gs{}_<5)rA7XqD)M6n<)D;$DjAsa{IKNDH
zS49M*_^4w(l!LZ{i-P|O<@jvkUVJnolFzmW_;5xvg}^r-n}lDI%`!Aeo)^4p$L&Z>
zOdmr!`_o4`xx$KcWmNqp@9QoL;YeT^_bmsm7M~H;x3N?&!BxHGdPA^W{Yi3y0>D~qGMyBx1F?&)`|30%b34kX<)ybwbnS69>
z4DJg;@7*lbw}TN0TO$QC%q9TeKOg8)RotyR*comzms4jzdii~1_)2ZB&}0@sZ-sHt
zvlJhBx`xr7pFX~eY>Mb}7gfz5T>*t7c5+Tb@gOshOv;&o$s?B;SjsIyGYHoS$;(z`
zMKA~R>&519Ndem<&Eb48`Adez#%rbK70a(Av$%9|a@peKatLzO>Z8@kQWIA^YaGp>
zW#sr{9aFODA|F(;A0*pI1>X(bQdQcmSBi10d!58L_ff6O6=
zKLbo^o5Q{><$r0Xr&8Z@-p*8am$$Q&Ti%YTOT%cjRUJH^NlCHiyQe_TInU>9QtXml
z5YQ^$3W?ahV74fB$^Mjzx~(2*<(uKelt$p+Ha8@p>x(si
z?NF#(=RC;(M|+y>EF)l3NgoV!xddhete1_n{$^KP_g3HqaN`b|Bz&DdqdKJ>x>$HG=j~csk12U>}k>It^
zi>^h2Qwreg=yf$iG%O;WlelhXV5$bvXLUQ&2EgBtbXAW;2D@{q9keK8Cafv|hA
z(f~I>M<7heG+9GFMop@tABHcabWDtG(GwwtH{joN
z{SaS;66ak>M&?kh$wwEewUj$HNL?fgTVdtFo0#A7f=oJWI!C58cM!}%Pe^rt{W%aaC$?^znuQQP2&(xB)mmt;gZG3K}hv1BP@
z?H2M@0JIm0G-cJ#r)Ty7Iry4UH!P{6ryO-%Nr5_hGvo=u%7eKe8kGcfTIML|esUg#
zk$FRb?+>SDuEp*9$`49{mzg~Ctyj8aX7
zS}i}&di^|45*%XdT{6_Dg|_zl6DJJjhLj}M8$Rb
zm6efHqh5J|L%J;`>hAU_e`DvA_vHkm(@(DjJX^^A(mDT+?bH83#>z8x%V2$Lx0T{+
z@T7m~0soiIg=R|X;D>Ny1^ftDhJR_D`lUV4fs2o^KlJZ?&Huei&F{4iX-rQ|)#}Zy
zjfqmd`GV;htR>9849U1aCBuzMjCcT3wc_GD9$+=g9wvY_fnR!>4tAXX=ZHSUYfCt-ZYO{pgkS4U0@xu2;X2BQ
zO8`3n+VZ(!U9;5rS~>t#;}gJkhgxi!hPu*)1h8Ef2a)Qdmif>fS_`ItEroJC1#AI6
znkitb+$mrU2K@6&ruHPTF0>>)c6vI}+Mk}vNfuK;T_ug-0sFfP!&eepCWE<81iK)H
zc_RLG9#$IQxYZH=N*CrrcSHW{m0c+jY%Gc`JZiQLDmkKN_)4A9Y5txEHh-=#tec5o
z*BamU+J}gqT|<3w7gfD+Z1n7UXj_e*>24Vj1V1faGBg)GGx_O?o>|I8Rvc
zM6fRy?fL2B87>bHeeR;F8Kkd)!V!sJ4?*!DGmuQmnSse8ml;^fMdov5rVv>X259r^
z#pZBt0oxd1I|Nnm_}%+a-Vy1d({uE=g}QVioy
z!~v^e;HxOZ*aQ15r@i!t6eop5v&{=f{PDcMNt
zjl1UJfRI6ta)@3b8Dd)@@P?;vgQ`ByYQzj*99W#k3^PfkFG3o7okKL>Rb_V;QAT$z
zoOm_#qif;Blww1aMf85;ERQHMUeWw~0@)UlMRXDGDx8skXNL?T;uz%XB!fx4Gzr7w
z_)JpUQD!?baA+n}LgUX+X?#3k$fY`#(AuL+D7s9v3^sSZRP8sUym=t7IAdAgY6W
z^7lQcZ^k@N-ao)tSC>l*57X4yCs~n38
zUm;wemt>J;B!&rT!jv(UYwZQEF;H9I>|C}
zG&#RnMpY1*>SDvPj9y^WGCZF>%LqT^GfFkfs4PD)@5?j}vGp#?=vK)K+Z-Y!%P8Y!
z`Vwr+l4a!VCC@T)y_cS!2G7|7QiHOLtklkLmeISs{qj!Z-Ud}8rg3kj;@!(K`gHr0
zf4pjJdM;UQhM$4crpBvUSOP#N!&xWe;Sw_b~EjCRME(u+<1R?VfacO
zE0e+8XBkbzFi*t4Qmiz_(>WETbE!=&qM#^bMd(RdKiOU}w0=e3d$5O{TzCYI}tyQ;=o!BcnY(eLR)oheV&d
zsA>l3{ZKd}%jo|>@gOshOv;&o$s?B;Sjt5v3&~NpjpL@wuNRxcmkZb)X%6$7WpvDT
zU6I||q!`ALP{}ct;HxOZD9kcC-DuHIAvcXvh(dSKPE2D3v>jv`l1(|&FuCM14NJLp
zbA&P*X}1MHvnD;o#&URpAacgyZBk?zT^nG6d}RmWV8Jv)WEpJ_XqB(*2ox+}eGjsX
z9Mh?YEF(t?BEv;S(%ADXBfos~pbz>k9!|{Y&V>_S3H|6=I5DNz5M>$t
zU*s&$GGe@<`T47nZ6R4k=i*sK)(j&!hr5m3q7B%dH?JtNT{&W<-^D)lr{CdS6HeDX
zydz(5$JTsj6#2D@N3|ZwBsS+6MZbz+p@^vb94ifQgLFhxc9o2xy(>)pgLFhp^cF%T
z2cE@OQFzvoGZd3ibcFFuubzvTNI&(#T~tN9u`!VZ+Ex+ow?HAXP&K+i9utv_%pqQr
zk1oV(DK}>sMdr7>(33KXb}wKuvV!AIG@3x%`4cMY79F!
zr0gt*p7}D0@IA}fDdQ7m6wy;IXNQnuOh%Dd1Cv2p3wiegH1}i_;cG@+T~bF+IqKAm
zqKtV%>9ugFbL)7Sr@sV`5?W#&CA0)iBAXsBL&nuHkZlE7S4xdx>)}Iq9WK@=iTo@a
znffaIm3^60sVs&;;6(5}`-m&jSiE(pa-jI3)i0@H-=O2rM8n*#c*|r1>5G9oFp%Di
z{{Ti1TI5x|$^lU023dnBJ{>4-@3z>{*5QmLXP6g>QMYDW{p|G;Tc?d=s*I>srL)Zg
z^zEXH=ox`HXhZK)DV}$17I&5;)kacEHqJm+-ej^ofy?Z!E^RL-cyNBBIx#&?cj7_1
zbsz5=T+?n`drr>rDnFRjCAvjaqyP4v?
zNvff3-eOx#>#bramZIs%`?pj;H$ZUP;jR@_ld*akt|h6BHFuWkaO2@jZ8{k#O@iD<
zK^N-PZPQISPQIBys{c~Z9?-n%*i0Y%Fg-cSlm1b2-=8!tY4
z-P+X&{I_QP<~7OlK=gP?_wuCF=$o3}2Ac&c<_AE4$`ri(~+D5+YLrZOQo_r
z0V&V4=6y_S?v2%&^gUSPhzl0Fn}?#S+!}?s`XngI|E9B`+&D#x2zq!lD!HN15JUA8BN&t
zG1hnCnoXcJ%A2w~=
zuzAgJl57T9!wI2%LE3^|YXSyAbW)}2c;-I-NA^9_sgE(8`lohvYHycL-F6u`fdSG2#7R2oWk{i^XTH|U}$({#N$n|=-IAYyzorxgYj
zIP(BxB%7wcEIrAvt-z`(0>!)6a8W4-TQ;=}0cLz8fk*-F?c$GpsB`0l%C;jFEgZ{DY*wWBznaD&^vUtw?p1#fU}?~
zB&~+#N^kUk$(Jk5zog|#@1q#G=%DtS-p}XzzurdXG$YFGWQ|pj6~ryW%9UMPqBvg#
zvFb>>nbQMX!N)=jqOnvu#-(V8OUd=lwid#98`aU-bQoxKu5V-%<<>WT3$7+$edAF1
zbtQ^1o4$SlSmT~4t!N+xINE&~Mki*aw4(8Q?#l{uq@SL@inq2cg;{g(1-q{?6h%wx
zX&tOwu&Xw#Uz_{4*apjI-jkKeMr-nBcNrhi)gmrS`A%fnHoXOP8mtRcjRB``hpO>e
z$}OnHLcb_2mZdDZiE&B_1P{!^phK#H^79Rms9lJCJ_6dPzf(ab3x-c+8dmmB5D
zrij@929()2+X7gF8XNcYm8N+#vjnM@wJ)|o8j4$4bi@~dTe3HEBX
z;sylF^Yo|RD_|dXlCL143Kuvtk-7BcfL8emlCWIiV%m)3KhQd}G&;I<8$}H3Gh5|#
z3qy<48*3EAe<4i}*`9Tn2rjeX0XBsgwzq6V|8pJjWGD^M#~tksQ75Pee8QOSs~-RT
zR2MmHkaxY7xxQ4&)id~Y4@Q*rn4NExj;V80e<
z?+n<}oPuHdS0f8Kwr5Ns9B~2iCnQ^G$*NHZgia=BbBD9KHaS{t;=%^Q*mx5!-hM@+
zwFG35wWNNfcOhMHPZ}prI7{7XRiMrM`@pVam&D#XGWO1SYSDc$yb>_&UaSOHqTxSB
z6sH!QpZOMbl*uUtfjIFiUXaFh1(XC9VZfi4N69xCh)(r2d$8LW7oaM+lxe)JHO}Ra6rEh}nKIPW*TQV-=i;HWY{x-xbg*$BDvq
z2-oK&S!5ascP>rZlFIW_puv}Egzs4{&rw&y6T2Y|pK`f8gaCP_QQI)~G(>l>=v~@6
zHa$s67oiAtaRGwW8tnkQ9-ocuT9ZTCUsmXPP_A>rF<9P6jVAZD0$8rPBi+UW0qd!<
zk=9M~09Z8!*|6$KtrsS0^nqfUv!X8i84}e*`GT~^%=bI6>?3c
zAXx-(4HTn9q4M}}vZ}s)dIEx%EFrBr*=Uv~N7%{bjp=P8Ih^Ul&*$Pl=={bi=Ix^8r3FX
z^ucQeA^iyPJ0`KrEXKqpOpB?Po7444%$ge;uR*5Fj?(yaS)lhzSN=C=AZ(UkEW|@s
ziy}E5evn%**vb&oyyUWjIhSKid?|erLpTuP5
zcC0kOeP{7x=DC``Q|B|PDbiF1f5;3^nZ@vIo%CTPxNVL;d?w=^lkSb`FQ3f36Dm0-
zGx$nH4~3JNr)FSE?Y)32uGdn*3A23K_^MaC#T4cf)C+gfPNp!Qg|^ix%#HZBZ3-h<
znVZ6xoODfLEajfzQ5(s)mai0e46|MDJb*Syysdzt%G3odCUENVS}Iy>=6h{oV~Wrm
z`M2ybsmhlIK29!v{JQc_M?lEYE$IJn2MpAye%)$q16`;+XCUxh}#=;c`92?yHjP5PP%xkcYC5I-FDFu$%sV-j3^#A
zR*>$vWvloZG}tctnLRg^s*nIJT#Wcrm&hH#5>ZBt+p$u(cR8BEJ!|T9NWfpRBw0HN
zlcMTqqWTgda>!yoIu7j1S`yt-f6}{lUsTsP0=$>x;1*egIezp2@KSj9Q?pdxUT)5&
z_e0x3I`~c^!ikHFenGiItvr?NaJ)w>WVBVR({Cf%+ze858r399r@dbn8%D*fNlf_s
zmF|GS3Hm8Q98zm7VO$zjJV(&udltt11$2ysap`Gp!nh|=q?4`<3yt3%mkqjRngR<)
zu}jD*T2^{Y*1^-1z%8SU-D@VGfR<&@mvulItMZf7PC_~ROz1C=(Mo`G}Y6cC6LjV3%TwN^mZ-edLFWkhg=yWDD<-j@+2VS+B%BITX~?B>5&Mt
zPGAC(u&scSQg_nl;rIK~Eu0MDOLeQW1<&Tyu84IPWvrX~s980JL1OYXhLr}m-WNyB
z)^nk%(=75N!_TFEC|X?WSB{rn2$dWW
zGkjGrJJORo56gxx)>X~`q2bQ=dOu!geAlbgB4+j)>W90iiu+=dKyQb(Rou4`|F*@<
zBr|g{Gn1DtY-lO>%m~$yjBLf!0!Lzg*9*!h2D7t(;R=pKdkVynBUH3FrY0ss!XWrm
zN%o%%;(tS9ssg*ULzx>rgq6aL|Cnq>qs@)T^0}##{&#tD^!=#5aby1;ao5cT)kxBJ
zKw)=~CO0|yArucXlJ5`^E(5@~s?4C=Q{?1GW2%(3s{p9A*;=t$KSI>GS)`~nYD$z^
zd%rHGM`CysL%P2bpB@P~A{Ey%JtBE}rbqamO^=2q;fb%+DS1UI^IgfCMUKEgrORQu9|@ptCg~m)-CfevC6T{
zmie-`WF_%OpJtgawV9Uj5?qGzi_XnUB_pEeTU(%N#C&UGU~xX*$|RI-KpJ~8-|Eli
zTX_*Vvt2S$b5pO=f%L9Ty>37b@~Ic&3C$l?AbUclUaM*9HEFqPLr>7=U9Y}S?ySo%
zgLS1XsfuX}`_P}hoOea|dfm2d)3;s4dPx$uWs=Cx(aS*Hg
zqWArSQGMrF?>?yHnAqVfbx5&=?SHPOZ=8^gwr1yZ+z^9XR2{v)UohzNnuVAEK0y6-
z7ge!s>;&*3Xj{d$x8mQn37}+pZUSiX+=YKFCLkEyf6G{1!a?Z$N`D>l@!QJbYkH;9+{28$7%mq2iSA
zh@mS6O3cZMgJpvq;9mtL$mWLVsbO6=*iY+;@CU}PQftY(F9Hs$9!WRjK#+T!Y@~JF
zJb+xu8ymRYlkv-fY_&HUtX1EDyAXfsoO_P!bTptn6RJi4+S3Dzb3mI(BRvgi>BQXbL6Ck;3Kz0l{$AK*41;MAIku4!Wb_Rj$M(G+LUkmarY3*Pb(|b0I
z$#)G%ke%D-nc-75x(B2;tcRvKjt1J7I4gDUj-(
zHj!WbX`Qo83<$cfuz}|J_68*FS|;s0SnhVR@NF?X5@`7rtTe!_wHPg5OBU8pp)#|+
zOpS8sXGVcV1f8?;d|n1hiF&Q6WCL|xte04GjD>#`Az?KxurX
z4qSy$`so>zHkcs>N>2%C3p8lH-}tuI5ClwqFZIP;v=f;80ccx=$&>iE4JI>&>WfE|
zp2uZpN!5F>ozC*_43cd#9gq@v;?6Y1Mfyj@PG
zS04&G%d$Lk$%4OZr>B8z_9!+d$5TRA{RLCH*}3%@=O_G}m?uG{xe~}iXuEBJ%qjvg
zlNS5i=_wNkV8+}u6yK=+$~6tOlw018pO#{4wN)L4dy^9H{Ew!rw?iL&a#p6SIOGLR
zS#PGI#ZfJp-OqJe{w-NS&ini*x$`=ww
z%wls$OuiCR`1~LVzTuDzt;h-nqIy+umpT~m?1Th4+?SKkp)VFtf$vmrXhCmK(U$*z
zk5SV-0Cm#qeEz=^Qps-ShV-yb21xp&J?XQRkT^-_Mm>`S#bd~Aq&04-Dq{$mXP3Q7
zPETcJ!%>0MF-!MhPJ=}0~J4O}czM{-KpcCwJuFIdIddeql
zzbCP{B^Y6sxm=gOK-)no`D-G=1+wt1>VBZyF(E9LV@gQ{FCtc4Qon^)psb^!Fmh58T3nrwT8YRp3Ujs&Wt4{Cr&Mc=~t9
zrT+9SoLR#4>%PGj;h$&gClS9X6Y<;!_&*%OA_4wBfRzTgg%$_+;Y5CLVfpyJ(9Zns
za%Pa?J&W#(zwkyV5!DyJ6$kYLoZ>@Ktl;SI^H9kV(#Kco$Yhxm>fz(3WiVK0fEWke
z1*GcJnE0siWv||gsOGn+C+?yu&W+7`c?{ZCaqeCCw=JO0*r~InAfW%db~?+ylaE#C
zpDqmO_tkY7yV-|0m&cFyf=a$2RONK~ICL)}puaD)-7crS0sW)f>1iOF-FnRaskwP<(NC{v9#h6R7I%u~N8P-98cNvw#h-X?Gnd
zNCFTa3#Pw=vC2bD&*2CC&M8aXE1>1&W}{niCX){r6ygqub(s;Ja8UTwhKl
zOesUKVlP}3)4Z0}`9u+CiE0F9$i1r5!GSD)jOs2&+P@>&xWyfziMcrJpP}s_oqL>!
zxP8Hs;QUVbpKF-JV#aVf6wGjGimmWE;8M+R77vlXDB!3vM53-m8HV@kA~Y*zx?+Cr
zuf#*MA_5{+-x8W7(Ci7#;(HdFJ*xpv6q=={xe3iKLz8Mul}D=OMrdUA_-rz0O~~fW
zbr6_+Y8Lhqw85f`FnH|*mwl8D2$Z1xCUusEk4u25s`~3j8yJ(_EE{RPa2{f^lE3+o
z>;hnuB_Nyqtc7Fc&)_WRS?ATH>}GT*HifD_NMwX!#{!Gep|P1TU>R1EtuqWS0=By
z537DChC>3--H(+9xV06BRd2*4bY84@R+t1HT8Lk|V^5uhfCYGV9R;ddkT$8oR`x=6o-0fCjkl7~l08fC&3NLj7(JBwH?g^EA1Eb36
z^jFZmhyd$8(003=_6AswYNw}xY<8+O4`n#t>uSHO9TJDkqS
zSSfrcUCf6?fw5SQ@lL#s!kyV1S1FTqTs;u%bukEGk;ll1q4=I&R#wus-JxF)DM+>
zBSC~k=Az~av>l|7hY=AjWQA{4#{=b#T3g8AY&;Dp41=iom15ODw19Pr>Z3MAslNB?
zB0Mf479z~zuf)USA}l49+Y%n9DUT;Sj_+A`{3_@e3y;&&+=RzZ8mUc8RmaO)r|RXY
z(D=A7b6IV#g8=!VEJUETCfCEX@c6!J5fMtzf0XJ<@q-yd<#m@87$BdPjr2TeS?_N?
zLcTlaQ{~9(XNM|BT{&Ah2L3w^{u_k<7QuhNuKWh=hsT<;uB5kNuX++|=4roLUz|sL
zWEAFt%~L>e*MiM&g2sR`l`n(+GFDLVvd(2ay)C^H_HgUB>>@k8s83*oLp2oKlc
zE@%iMPvK!7crY5=P6(%X;3b5mCflmXZf+qP$Ht}`cmsL8+-TMz
z=NFzEi~B}knOHAbz6NZzK}DyV)$wYRUx2v1JXx-bviw+Uk+j*InJOn$2#Mnjk6`gw
z5Zdp9gF~1s@b*XCNSa+9nT&yZ$fDi7x44_}GtGQ|VF1T}mpP=PYY
znm{P?5h_|7=!uL6{3ND(LZUyyO5qY+*qnxIU)dtAb)wG;NCA-UkI$kqUF2k@?n{MLCS7Y_^3#QSwalMx6;eOSLDvWk8K9v$Ss*wtH
zd7`&EiW7XI_Z+C?GjUZT(}SR}d(9&^(OUz>gVga%BEmJ%!?&vWK)Kc35P>w(?lcD;
z)}+)s^CA!XEb6(}5QTxE&PExS_v>P^D27|%oBWmdWKqCMX+oCCBI$}}vWV~5Wbq~V
zM7dP-G&hsQGvKBhIO=yRpxf+}%iydk-*NBOhMm*Lo}Yj2AP=WXm4^iWXV7J+@)hwz
zYk*B+t+nm5*{4{`3T)$eD{YVl$~S{1sFtqVMd1AQZ)GF960cM3KCjq`Zq}#tUhG~^
zCc6CGRl8W7Gv18U+>G~jAiZld-p@i~V#dpOLeqykxb&?vUIm+dHPi(5WqO6Q}|t7)h&~=^bJ_!2WcjJ;W>Y;u#BTkE%Oo+GaMg?@J2^v(0-!`S%=aF_N^z5ncsM9k){(t
zXLRP=@)baL*WB{Up)ui>8AHe|KcCCJ$Sp5c+%i|?yi?xH90E)F24E3aNosX^2NKnv
zzMj(-j+(E;8q6KPPIfE^H48p~JC^Da>yGb*PcnD>UVI{VOiwO%%*gG;9iPfojh66m
zQWLr|uH?G8oUv@v>57@g`T`63tWvf(mm0|=(p8nKgVn-`#0HFCPm#!(oO(nV-ToL>
z{2PJA`7(bdg!Jo3V^176-{zRpKBwExsLZ+Tj|0_RbK84dleuli4szR{M9zflD_bi3
zwsPM_NZ2E~o;1hwU?3T^D)hbn!}NcJE2RO>@V^
za7ip^9gUR+xOo)s0b6C=1GZ6I@nXLggKg}pQ`~HnW7db2^>4OKl`p$nwyds*>KI?2
zIu$B8c5&e=Rh<2+p
zp>Z^nz*V#(16sY0wJQ9Bz#3kX#e83QY-zUu`}B%K=_t_PyCe?ZGl2Ped?J8JPY!^|
z@maee*;Dv%D8ewI*z%dh6MfNS2hdWVVv7cy$npTAGXhxVewW%yrvE-*wCZ+rdk(~v
z@0N|UZkQijDcCdTu<`-f)o57xX{Z_jD?c7soWsgY2IWM&9uRQpODeKJP%rgrG_|n2pxcM33^JfK4JkE9@+$iZsFW_efEH`ddzz
z@VL4a<_C#^UBJ$WqmO4CopUI;-;B>y8B7vTvJWc_aFZy8lFzb2Ng-@PlHw0M4gjuD
z;|Q{yg8+_>>JW#JM?fV9gv3{>FE50U?vv0sf^-*VjXq@~YIm(i&
z9qQR5W}q>FEa^&ZbkS^UQ88lVEp`AH`5glWg|0~C{(3nvjF~@6jU_vO1Mpb&FuL&u
zqQ%$AMq1a;4_cJGCXl4%GG)QWV0nJ^*ieE$4ajeLgLCEGc$d?$bSW5WvP#!Gu7joT5
zV8xIs(g4%PkfQ$dQBIg}wYm)&uAJhI^KNCt&~Il9opY%8cnpsORQv^28sG*|3>8;e
zp&}PGAw{7NP_PU)Mre4kjfi943z@X|(Rn})M~lw)Qio{}
zInwy9SAhjsJe>OBF4_rLJPO)Y!QvyJ2v)EtnVAENCNEuJ(NgYkubN2KwfyD4F_>+8
zF&M$d1qDo1U?UnwAZ+|86?KaWTjj7(_ynQSUXlfD6rNeyss%Ql3_bI~Mtsj;;}|{>
zY^0~TfsLncFE`sv*7s!<9O@ak0oRC;xD(%qll$H^ByPuG1Le(QC@nnf3Q($T#c>+=|HsCemEZeQkzLH;edMDF2p
zF)R}B?bBFkfLl&6d|SIJKr3)}K5oJvtJNoxYX>QNWh-9#HMoL31GKwdxV;PGTYT)M
zJF+$(yXj7~RmqZ8H%aYJzY)V+f(ic@YWU`&3QRyD1j2+*P|;$YiQG8-tC;Qy-T66I
z3fG-I(4UalEtnagAA2taNIJduweX3cbde6AEdR0!X5Rx{vx3=$Kv02HN&34NmlMm;
z$i^t?`|%zJiNfg!hv~1x)6c~qA*E^oiHAYYd>|3uGmy9vp9mz<)7*f>(}drxi?yZD
z1?k0}@M5mf4j>|rFy@-HBgBJp<%FlSywQ#2dBAVCu>|77O|p^JO+Ah?T6*3&Jk0u&
zj$+q(0uK*kE4=v*IniN8W)2-*2xNB+9bOBK33SN#LFjM;mwF*Od=5j0cqqLK9!f(@
z;2-yd{8ySz8DRmDZ%5w7NlBe|m2W
z6A28w3u+XA1_1_;*@0l-^;ER$Q1GFc?g<_FXRH*iBke%JM}z6=E);w*eAfyEAAuJI
zQYGpCYjHUtePm;l^!=!gLqXwOgkSVm;!seG2vVvRDEJc~*9QghJ%fUWUMHX+J1L65w*j0C16Pr03~U
zxn6e;|FYhsXJE&A0{?h|pV=KJ_{)gQfxlyc=&pgkP0*MCe~cRhK91)SF9d&UeBh5O
zv#3S*bUz
zt`ggy-V(!KLI^iQjRGVg5CX~}5Ft!Z(XQjex5ji&sLz|RQn>oGgAe~9n6B>P!^`2j
zR($vYcu^o#lKy?g<%IN+jZxC~Lp_cUh2Iel(_e|>LosMbsao*i=YU)vKE(G7AN~lR
zC{##KbAt~lR5&?3v6Uu=crJ0bLWNqR9biNyRH!xS2^DJPv{0e`M!GvfihEoS_UMeO
z2ZjotBpaERP@&#GhU~Pg#MqVOtUu|&*tMQuMP*u`cgTqrGct2%@eg1|T|og=;-mv_=Mn*)AHyLrgrAF*2DoJuBfwMe;Ol0sSsGVlkEg?z>u|)I
zsRd<23EHeJb)nT}1E4-v#4v{j@Jpda!9XttaAacO0RCJm+I9Fg6Vp8*`yE&*T=om9
zlfH#sdM!mohHRRd<(eTF=G1{*~q-a_SD{W0k37fN&gc&))Ty@#P-zgIMG^0WDc!;6^QN{
zT6@wB;9mHK48{#YYhU9MFGOprBwBNh*<7vRs+GxRsX7T+e|$kt2XI|zNveLjKXeNQ
z<$duV=X}MM{x=^nJyjt%qT8DjKF5ges2Ki;QT+(4G{9}A7||_SFEMnC=O=UWk>#g_G`%IhNdt@NnGBmEyV7pbwq^Mj9;biqN&XNz+m@K
z6&PB3uWY1s-8^LBN!Hj-hFM7LB3|f64yrG-4Zq3@+~URR>swAp9(C_H~nUkNI!`*_5@@elI0I(qHsdYjKmzod?%3HHHi6B)2N(0<>ib3XcNkr=T
z5X=;$zR(`w^&m!!B}?Nd-XpAKxl`6jX9-6~<9
zD~xY@^;v8eK8^a~F4_T_OV5P1)zI5-Ky$5NPBJvNUD)KOYrC+e+>u2ZBS)iFVNviF
z<`=x+kD%uf1*`?XDxfD?Od#~^qoT#L4!L8@zk_TVno||ltqDjjzelf*mBJ1DbX*sZ
z)-1d~+~o?F!NS6T5mdl^g@*e-Gr9q*<8O69NPl{345vr|UQD9$bCjP?i5%^+0z_^H
zyC6@qE^4`+;)XcEq;u*BG-mU4WBrTXw_(y_!pgOg515|V0Zut5I
z@OJNdd8}Eg!^B{=k-DuzOZLAco
zGDD;&YwC5lR&&XcWPMEm0Ep~HlWPe+u$-|jU#P(ZCt*}W11~3#@k8LH
zS*H*Sx?K#hY~tJMF~U;kdP3qKO0|n06zAh|B@aY(gCnR16B&xm*ey}$?Dql_-Ha&YbIlGT$_Y=d=$^e
z+4OPwVzd%rHiBLedZr0%c8!y{rABGuOt9wBGq36J1=79RN)
zbc}^Z=xJ`kBg=52EpvF)wMh3_^~V=PM|g7`1V@x3Ck1T{XKZ92r3=Dpwcn(Y(jf3F
zL%nrd42+EYOg7Sb;XLH5NDf;9Bg81;gORbKywC$9*$Z?D>@S^X`@BeZ2|CZb87q51
zRUg1H0wW6oi}S!pCWmx)q_HP~k%O|ph!BJ`UnL_j7Z>>v=up?cWiO%zDYsAqNoalCw
zoTIW(HpOsA0PYP~X@J{9aWG_<3_c$W;i@gOO;A0`qfGW@JfzrzY>(;*2TLPR$q^61
zSE}wGAS1iF?r+y
ze3o)Yig<`i3#2i(3X6iJn_uvvDVp6}Rlr&W0HVGJ0>E`tv};k3e}LvxC3I_oGQasC
zRth)IWf;}i%#I1+{ukDMjY!D$>W=bcGDv19;~}&yG^{2>La44D32Eok{pml)Fok6O
zIg*N>c|2VNnb&1mN5(+DAJaYIlD~(Q!e#EfCc_;9aaNIrO5pbo!PKk1EB$Mz77+n)
z5)=ls^@&XKMgARBp;!Zx!}l|&~}jeEhi#e
zV*b2X7
z&1?^X>&C&1`&){Dx|=^sO{M|ncEdjOQ9Ura^4GGFp5Omx_89{Tm2b#f{`S3Ma7S%?
zaB(u&9K4eG&B~+l?QV&PKf#mEmv_i6*-}d?KQ0+ljLLVw#P5Mh@cAdT4jnBwMz%Jp
z+qX_lPmVOFA(^x`Is3ZV?8__Vmsc8J{zvbZTf0ron%_=8j8)|4gZlS*?^pc&dumH(
ztIj!Og6eVIo`#2#DqjcMGZjkz4jVu@W;N3m{MN15OUrIi2vfcc864O5I6j!uUB@0dT_>hGNAbHpSgrdbHWH+E#jI
zAGqFM0UgW}KaNk7{YOu8kmq%BwuT7R0C(Y_axi;P8e<@Wekcc(f;J=TSw@q)~Iu5x^<10^G
zoY0>u&nb;JpoOV=ZLB(8W`9~U3Kvk9!0Urcr)S;j_P<59y0-jypKPR6@3j@6z$hB5
zr42R}X7-H#9A9hK#XikN2rsNf=$~pYEL^_pwJy=)q%dqFkT-^Z6jTMramH@SeYd-<
z6rYDD{Y%UJUpg0>$qhLx;74%V{7dV!FD;W_T4sD{mH$hZnqO)i(wLr_s?}l1Yob(d
zzF@l6EH`FfhHmZxm4IxdFg>ENTrt2nqltEJX~{NO?tyPbhu9xF_b&JM=~S~%NcnGDzvPn>|B@!BJnVMY^u*wMn#(d4^q4*D=I{3d7}&Uv;MC8
zg!;)ip?=l>C7)3Fm*Rx_sQ-Iy2$hl1kx=*3AdO9y`zR%Z6t&-U`Tfq{OP~B6kCWeC
zFY)1})F(gwB~5<2ohW(-PkNu8;{Q?`l4AsPBsnGn1~+YTTS#&fed2%V{TlZ7%O|U6
zLe&U-a;E=FK3VZEX|h^Km|OOZ{iXNqeE%2QkQpPSBbn`|O%iNU+l!YFeUpFdy&LiO
z&L_F8aguw1|4Tl}@h`jsu`
z#|9~jWMM0;Jh&3`Tkb)Jxsv|$TLnzU*u>so7|{4Psi@yfPQutoW)ztDQZG%8)+Q)8
zny@Sv*qhgc7meEZj&j{<6ony{6K~ZO)U74h0j}_ip^`)4@l`h!evQ$dpT3_l2A@sz
zxr?d_pY98V!xK8vbD?;U!b>LQ6yD^KOW`f$jtx=-Md5?WgHD>?DpvSK1x$`q_^Wwr
zDbxA&^4!@*8PLUO18}yvcy?QBGx6DNdv_7&}&t{-Abm|%M7s!#JqblWH@wurMB1U0P$L*JwJWiUS3V~
zxr=sUFSF2gkiAGI@<~ZFbTTRXqbL7Tnc_X<^X82%~n)6}n0pg0)4DnSr&G0)$dv4o8
zQE)SSgy?e@?Zgbf3vCCPp=46d3{4)n%+OM9FjPyVlv}}7z(C9|78}TC3RoR!AQvjJ
z*vvH6;d(S4rT`1rQ`4{wvkvgBDFNGx1eU5{wHpStlZKP$md8pkorWK+wxUILxs_jw0l1VxHFnQ#%
z4@TR^3$BqG8!rKJgEQai
zFdaryN=l=nRsNFIs!op8lF?}>pa!3;b`%hOAC1yYKDJy%?68h4_$tbF_CO|xxCQ$|
zikYl?#%R%P63XbZgD7+t?ZkSng|>sNN3tnrJtmi2)?+ERx*NJ8Io#?>b6`^@rNuUN
zWr2tyZR)T1nnkcxaif|l*YT3x(&R{)XHTJF>60(3amhsyF^3Y1CX%_NzVDAxUv6Oc
z5^t;qhOfG7U=J8Ax~)bru+I>M?xLL-*gr$tK?Ww-lru1sOD+Smlsn&VU{Pu#RiV|*
zR>9m%x{J;2T?GQmnVYxCbPpDM`g%YhkZ<9_2)mk#Yi3v>0Uu(meu~8mKMa3~P&(KW
zEMEug_dUV$B#u->PDqbuaEj3Hb
zuYhj0Svym&HX8s<8i-*I?Z0{k)bQ=rK_+sUBNMwU^T=&`XT)?*$o_P!6fS#Z+Z&TS
zT
zEJ8-@LK5r8QXRDY1eE^Hg6f`KNc&&Zx^2A4@B
zXyS=5@dS@=fU{g`xN>Rm(y|9LEo&>;CJk%qie6UI+YCq^@
zzOmP^M4?;zW2JE2+5`2<1JT)gDNMrS#|P7;;_=8dqZa$J3ckMpY_=vE9SsB(NR_02
zWN|qGzLAYl(hmaP!YK*g>aWE2o{I5OO4S0sPX=;*w}Rq(2EH%HC)#*QPjdslpPeBS
zd2w4D@IE;RcpHs(0J@Jd5tY%j9dJM0*-sJ6_mt3$ssVE87--jIBdwRt8_+g5XWNJx
z3$n9*r8i?2djhhLEKmt|ws%G@2iUj2=1H(e5&kDL&(jq8(KV!f2Q(&-He(QBpmDAa
zg-H9I;YeFbcYaa!6NqAI=jq!}9&oY*7mFALiV^m%WXz;lZ^<-kF46TzVmKub(1)?o
z0CyCQBz6T|U*tpA7Htnl)^pIZ)TP!OG!ClyU<|_vQ+*z46ksobsZcP1nCb&mwCjla
zhcVp~`t%=IDO{i0LDYW=rmMS%`fm8H6;b~VUKB``r2p&UazgsZ#wh9g!7&eK3r8e;
zslO6O)M8weQneuJeO~TI)cBqu>Sg#uh?<_}22rofkS0I3E)Gwh6ojX>raM5>Iq0M{
zY{$}vIeI9NwDZ06i8MJqAEePSjy^{=(zQz8|*PwF^8WYf&afJZRYOVo=(E07*(3$sqeu487hF)pb>Gdd!{`6Wd65;BL
zVe_tIyQEXsWI8pMp!qd1d=en%l~`$j`-NiAyuk;Wb9x>QnY-Su)S_0`n+BD9OAMaWD%vKR}cR4s7%F(B6$fX4R>Ey!yNLCx{02;66ct~w-i0u~HO3QVy-nQ;Y2nV3P
zuuO*^T2D0GPwTM&&Bm|N8xmAL3MA1nR34Cxw65zlR91Ot1IWX1d?lt0>GuX5U^GEx
zQtf;~YZ1t9%l)o%|8&VX25@ya<2{k^WT@(MH^wo2CsJ{}Uwcapv-HS#34Kw1(R;D6
z{a&o=ycY)x6VHr;3sIBMep)dq0ev!l)%#Uxzh9$_-J$0Y?(l!fcd8Hnl6I<3;W>o2
z_`lc2nLdmR_fTS0$KvArOrOlbq)U!Q9ce-7N06fa
z^dC530&VCn&PZSYfHW}gLkRKngBd^Dnx{owa`nX+9tn*71*|l{?ZGiyi$AC5Y-6lT
zhQ`KgC3Zv)f)Cu+3Mp_EvAI=vRY)^}BTDGJ2JU^e`@(bMAm1vK`(5e}p_3m(F@|p$
z`W{qr>}SPSD%!E6r0aKPEu`Ly(SrY_)A&cDO|OEBJ>S108r?-Zn6spRhPKs|nGfLK
zwzGL8qjH;uOg_O#X+4|AQf@F*OC%Rt!BxPWm|t`cA?PIWlAK2iSPkXG2|eGYqW%+l
z?vS7<+wt9me7bRQ90C{!p?1tYZI-Ss4=3y4jO7*Narub}+1_w6ADM|Nn?7M#BK}u`
zBvwfM8>`kEv<((_l=IV0k`nlF^xQ8j*K5|Dc?x9X2B-WY1wf{DN=r8lw{9ZCxT!6J
zN)A)QS5c-$$6j$NEk|ITZ?xy9k8d46m*{gBRn06t2nt7>2(%802bq~E
z`9;tl)%M&5pxE*a!~{^m{Aoq_N^P$j!{!@|HvKemd!8j4-9EIsMZPQcVXRaDzm*K53urRAre23*U*L|qwUZ;Y3EU;SZM+Ou(@kuvPO_O8
zKm#Fs<~`u_KaRC!XpjT!x985ZO*PEjmwi$ISoJ5VPvkNlkKzFz{(n)RF%jmNyRGgw
z&~}hH{)C8dnHs)TT^E#F*%|XC-#TpwjMSvgYf*$|e^kJ7G*WI(sG(8jJqr>G2N(is6uAmUh@8_;=jx<$e-
zm_A88C;zYwc%HN)wGYm@2XwP6q;uPBuM-$pgtLg1_-4C-YnNS%_u5^D|D1*YtiXTH
z#D7-eKSTJ>bCoiYq3krRxruYrI87`!CYTN+;htO+0G`~ySULqD&n0;813H*9{|kH~XHHKuq3tEld_P`
z{#kb1aXV?zN4d*xsgrNaO>0Y@G6#KC7jX|$KZ4UryivLOZOIUmTX!zpegm?4EZjaq
z$<+<7i?{2SjL^JGo(I25_3Nr$Iz$fxT2Y-tpH1Rg!zl)F&HQ5OZXfoD#nh`Y(^8>g2)@&&
zG59a0?rYJSI$n7@IW<%(ml}=I6diNAVP9AqpTcqC2%JkYUd6Q?KJ$aCI_!WFJiMd?
zhnKL6ctk|)WPK8E=YeJWra1f*7l;x%%{xA2GH3yjBESOwB~^=tcr7o+@hPB5$Yfao
z!cR%$o;hoLxWXqvtM*o<`F5=iwHMKBK`g$$glM)WO-@^Ro>&mQ0?JNKTRjVZn-*Us
z<5IK8I^S$lTZVMk&8%KY-gjoWBJgs0>+BsT_7AwwJCPw)oEqa-u|$;Az0f=7t2mzo
zB9r!GS6FNrx5tlC%Rpt)t2p>6Sze|+<_LcHd#y}2jeHg7Yeb_xY100pw?JZ#RoQPq
z@?7>O8I`g>oliFVGo;I2nTbs(J1yw6UPrbSJea}UlodFO6stI6IZEZz&e)YECtGw_
zj0Eu0O@}FI_LhZQt2j$vt*W_p}e%;S-V(t5dd0D;0r02_8X9P>AzO6HiqiBGhE
zLQfXQ%*jo40b0uhiNCFgzBpQ1<=U>17(FEdWWHczywq$?hskoHi~E2i{LCo)k))8G
zQWU-bD_hDGwz5n3I_CVWYf_y>VXf7uhRtbQi+!kbPI%*Fz0uk;+^UaMhKI4^fROYF
zy1f}E{#vl;4wEqP3C_!>JLXj$wIHpxAX-nX94zT|IO{9alH#3(c&T&kg;hEV<1`x
z!2{7E_(u`0SY>?-jOM?%-ovJi*_&cinaa2PDS-}0=t-ax1u&_zxi&Ni{f9D~{5rt6Ih+z>d^=l^-;
zh(#{EIU{oRrZQ?>W$hc&{{R;e)-wx&Bv
z(LuJy!{$oq<5ptty^=c5>COU3TP;sVPXZ=c@o-F03J?D$bY9)z;mX43PG}raAi(eu
zC^Ci$ALG5F5ez36DNi4k_vKLAaOV(*F%TPEgG;_4`cNoJzQj_GqE8}0{n5vrs+6>G
zYzc0|oWmZSK=nsB#j~<#_=pdC#N^>uG1F46>OI?mc?qg}sS03~Aq1RgG$_bkj2maV
zQBEif_p!?CBK7o%5``+I-b<|^eE175p743bpFt*C4>ax<#IM>E-n~{g9Hn7n9BtXeAhEwi>hqysZR-Ufd%Hi?@LUwHK;#EIeeZtej&L-(mUZbDy!X1;nF)6GFeu0@l#TCraA3jCT=k391IN=nnuqm
zeJi!{-1PC4qd}t2o-{d&?YnY&4wRjo#r_)*E3Mpa0iB5M0Y?vtBpH-iHPZQGo8>m7
zJ2i(YNal6&q~??+<&~}SM`th>+2En_YfQ*4aVO<9l@L@P?p$fmk_lJ>%RmNU)qgW2
zsikUY~eB#Tm(p>xP)8HRMH=1>wT-cFv>U>SNn*_KhtU~bAXoJEQ?)ql>>#qd=n
zL>f6)mA=G!qs*OgIq$al6f`}l-gXT`Ch%3&k7K3`V3e2*-msC+gVANPR}636vVz^z
z)Pf#ys5w!F+n^x@eTB=K*mSV~$dfQ_jH%_^SC2}I)v8AYg64hAhnckU_>~-*$8`jm
z-eVo{ysPF{KFt%l@+fA?uPX}yRlq%51S|}$7JQ3HAq7Zof6;66>TwsIQr4a6Ee{5A
zTvKFVOeFsUveSu`XJn+8{M}CK1MI3uF$xp&-R?|$fkTXZrCd|X4g;(YI#gWOW?Dd4
z4-H}q2&;h$Y>9)OoC^psfdkPSVPT=ukK-wt{9l372P+6#;J+}p0M(ubbHis`H=Rh9
zSR>%;2h*hr?)qAO-89OjuhL&x!hB+75XSn?0K~jl%*cYW(UR>^;zj3VSwAaSp0Fee
z=intXomA-PN>t|lXcPWPtVK9|bLB|Lu~FtA%AW<47h7*BcR2MI>1!*pdDESf8I$$h
zka3F2!Y!@o67uvKg}BaScMI{dhM~!+)#dsK^BEXnYm)^mBV2hPa3hjpdsjRztu}*F
zux+YUfs?Y%h1JQC8%krWH;RL9q3}Llcu)>uzGk9YgQ(u>$VwX0mGDts9=M`h9UW~q
zA%u5Dsk{$XHSr8CxKI!_gHJU3*3~Dc8r88%D;QX}JXm%1ITr>i;Loa6iD`gxxGx-s
z3kVzWdg$Ya;8>9>Op!;WTAEg(Op{Y{qaX<-RdnUv9Tm_K5a3v&G!ek#Xd{G(?D}YH
zf2jdS|4h}}!3Z3#)(Fd>6OHQLHmrSDTe!Tv5{5ruCe_iYK6uftm0?7LGXkhVO^OMJ
zAD3;}8C$@Y*fP8!xEfRdwddTR)a;vV?}bqE3ZN#q#S%-|
zh;$5dI)aULD4!z7C0KeKQXXs1ex^NbU+sxnnB$}?7ue+a@47r=v6b<(7G!M&tPdU_
zSRdpj4rBs!I@%r|>;nM@*KFEx`PQ8~f;C%q2iL6GzJ1M>9lI|g>DR2?w0YBx-8e+vxM|0h4a391#;x0fHNmzu+jneQ
zw{!EF?Vu0aw{0EXFcbvCAZsYGFPF9eWCp!!z+RUSCmUlo@`P-AtWz&$I`yKWI(3*$
zr(U`noItZuZ;zLQN@-sR&R`_0?gPn}U?O)CImF48}^mP
z>u>`t19qt?R=hQVcDgF!NujUIRYo`jN$g{5$LOBl3>}Tmx`kv;P^up=OhI~GXK0L^L*zhd_~Kp
zY0A&^^yQV`RqmQx^5Zr6$?sZseFfyl$ncb3
zc5)sTW3=p|VKJxJ!eS;x4;_cb{097zH8dusDis>@ambe=H0C&)L!XXbkISVzJO-&i
zl=CG(CCt}Se8(rb)65KyIeu*kpzG>jHB9DEFTDDC77Knovk|~di+GX*aFVZ}Lwu#C
zFv`Sn=gF3WqrZSg2*4QKg=Mfn(uJ)0xH1L+wMx`(eIU9YN@Hu%hfYqdU~oc-tOXuL
z??b-zN3VynT+_pBpeK6vzP2V1U0ji8{hg@u%GD<6Y
z7-<#FM7n7Cd+8j*2~r!Br3(n5rXl|Q5TxUQSTDy%m?u@{Y#zP}Lo9IARSFuo7lG^t
z0PaxVn#2wSoVI~bn=u%v)nJMR5)ab?1cq#IvVt6_FDYHjAWkIk0V32GVwMsf56LGSu)ijZ%4i01Apkz0R>TCtbK;VFS7T(dR-*&RUZb46}T^9Ch3|HxP37Z
z$HNvh{Lj8P9rZPicG`l!_!Nf()_gKTjd02Yra$*;B#+?uF=S%H>tH~0-1sTEjH2`o
zy!k$nO$SY@
zjDU7*o+Hd*Ujap7JRhuy)DlKv^zjQQhZw{1Uy?JV{V#(SB(>G9GT0Wb{eMEu
z#!1wam&Z@Z@-n@Aj?+)xtd;4ekz2ssM58@vHx}?#C_9%0NJgbBKZ
z?2b<^um!!|Y+JZ3gW)M#a26?|_x>qIKf@!l5MX5tS;UDb59cVAN9G7zDZsFsY95&*
z2Hg_x86tC@3j7k|MrDA?_Vwat7MAlUKGDu&dP;@m(3C#k*Bete5RJePGZ7ZU!g40X
z^hG)}Co?j}8J_bj=nfs>IVWk87_c#&#bdDG72%_@l1Y7z4!8pxO@H)zU{2EC*bN@^
zkAic4Cv#A6&gDRNvE`bwh`dP!=ZMBlcTQr>(_?dF0yQ)zCaqKJZbd;=Y&4qH4|kKI|sN#Ni70){^3WRo*s
z=t0Qp5is<(?wVWyC%h&l;N+lX%Y=U7qbmGwx$7zrY{E#ecNJQ&(1#gslwhGF$greu
zHHiz3QsM4bv@P*QZQ_5po9K!Z`UN8{Z=}#cuXl|notJ*_niRohMtU9PuCIXb7#Up&
z?{K9fG|BEzkwS(zeJdb_(Om$Z0Ie$x6&cYOt<#mMMNT1RT*0+Y=8;xs~X$yciU
zKId+wOMajBli%0fHM!)+Yx0xdzqsowAU{S%SMoawLg$oWoJoL-6N!Wbm3OKL|J&VA
zmk1y86XD`J3!@lblb;BWch^@ygp3SN5oRan@y^DfPSJShz!vW;#+Gro^Lqh|s*$m{
zw0kqevchajOjIh|xefVpggZagvQnrzfcxP!uB6ODwDXmkx+swj
zIisDg#xh*d&bzcq)aebsXy+YJR>5fJy^z&E+W9ib#iE^2TGnXiE>A!d3YvGRGcgUv
z4v<7ax@Ln=&1kD1q~oE^m*b-r>b&bAIPR39;Z?gOKMA^$|lRQVzftd9R
zYGGJz;!$`?*fSOcJwSULc34B`H5HE6fz-k=m=J^ww8_xwbdYozP6x%qw*}x{)Xf5xA8H5|&TH(ZG3(m2@R>P)o*b)o}K0p@A*kt?36OD&}
zsz#&U5OLnSJ~v+^`u$tq@CTW~F;(5jRKl3(7PQ{}==t1;#k{-fTTNl^bM2{Ow=?rG
z?tkjT9TDUHO3WlXWSscuMU4CTI9(dYxbvMMbSMNK?EoP*u)_q71A*N*A?((`s~-1G
z83Q6SgWlik)oLCN`A*2h7Ozs_koYMX*`a`h0zvN|*UEG1tOy4F2+?Oxnhb^X4SN41
zl${KPRQr4chWtoR$)r>$q|PH-D5N3Xvb?$=jlYvS3wQ{u`KPW9k;{gGI;49uP?I@t<;R
zabmujL(#+=$v0XqdJITTYO`IXu$|mGeogH(1`Fe-WOl1+1rlUuIW{+U`qoC|u_95AnvJah0Hv2H7yQmvok(}*xRSejX
zPFc1c{fd;vEjx0){=%AZ3sX0)`qUt
zN_0zs+t4ne(4I8e$N1XNbx?LL8(#_8qkZ8gFZ;?kko{d+d3KXQ332Os2hnFw+KqL+2g=T6U6M&D>(Y5-vo1rr)f~a)
zQ5|g*97hmzp5al7rhxsCPF1#Tbuz@^XZ^{@#7H0}Mko&*
znJI@oILlFrXN6$0rU`*zBcXXHl(p9OPhN`34e1|=Ge$$gPhN(UIHpKrh(Lgj6slAB
zwN|&?k`hMuD{6~9X*WjqpHOx#qmv9x8J*5go6#B4UEGy2N!E6{D+jtYowjV#`$mRP
zJWcO{c=a;w&DO(NWsNFK9I~m*WbYLW!0@WXqaoD|^~qIF-d!bMNv=^Zwc-t`G1#>X
z8^n!kIb^cTGvFsLEpfBGl@QX(ryf9J(QixU?h`L2BY)HW-x|yr{+)z
zDd0|?)S&!&J=x0tv;%}U8hx0Vqaja}KZS0towP$Wf$~(zuvZR~5G?iP@K4PS?
zo5D|imIRCw9n!)0tkU;ttvtJVB)Xms(PvNEjU~MX%Fbm;j7gDlCdWa8foLl}s!e@o
zk*4xm-U-Xc;t(j1E3ApC6=(RX`-@b4-wbm3ff?iSmy0wtCzqE9QwKd}lZ9X->PuDR
z-z!4QcV>|9|J)7V4?&+L^qc)qoBLRi=KAs;-K-!&@}6F*#Pr>*dMdlSNO+b-kZGpo
zI+sA%9-akME7eCMuae%^)<+xCZR%aGB>CLwVWH6D>r`j=_{|JcN%i>7BE_K!Z^<#c
z$`4h*6}^n$2yv*w%X5_a0e0PqSjZGhuLXDDKh$}8sa)Q}r`zx@a!c%xjQI!vzE|pH
z*rhd?m2@akw6R&>4nA@GcVXK%R)LYn%#p4q@iq%~!{{eXK(b{8r|OR%X#0X4FcN&Shwh&97m>6`%J#GUv9Bk1OfFCq3l
z6tnN%^f`=~_xgFA7x^6@PKj8WZ(*jT+z5Jh?eXT}WG6}CibKP!GoqnAe-7B$yF6Nu
zsZJc_C)RSfvsJNwAn1K9C44R$4A7wtiRJ
zal{+ddYy_dmT(qBCRaa@9Mby+;T#2JCxQ28fH864En-9-gd>@m0^T|=ZNS@*ZiS!D
zNM3e4GlI*}Yq$3*=rF60<5#3UZVB-~f=4N-J0RzLr7NaMGiEkP7>9Fb;^r9Kif^3e
z(t2k;(WSkWydwL#%uDaM{j4Ls197I$>cdZ7_CwQKoKnM7*K@S;++63A#=D6=d(xy`
zM5jSwkKmiq?d^9}d2l5pj***h@ebmuH;GW;m)^^&QI<^vJcQLkIpS!rXQ_@O=kWGZvXIW7%;oS_aBR-Ux8IQr@gCoP6SBH+jTqjY2J;T!
z$G%R1aAK%8h7d?VB&er($7^AJ)2e>hvsR8asf$m-oa8G;_
zs1P6EGM>-~?c-d8nS1$8W&>PdP1X@^W;*F=qBDUc(AEL`<8?6OeDNp5!817dz`+?G
z<6h#!Dlx`gjhU8mL+IHU_hLTZ=N{=wby0^erZKIY73A1g{+0?uebX*47I1vN12S30
zxA-ZkeX}*bozUu4`&eyblo;Pe)DC;nB#!qT-`1h*B#u8Fe}55HjA@oEF}{_|OyPK)
zmo^-4NcU8mrby{`tVzI!=q1{F3NdE=qYPFikoy)&>K?PM@f)+28gSu4brMjg+&5yf
z32mgBXZ(5(5S!FzyRu*lxqbW@wa_?z#ZSrdGVLQ{{Q96)o|`^Ce!ZXQvnNgJee}nW
z*kkN
zc$@T9s>8@RZaq~N(z$ic#;uagG;&eaWRvl(*deIHywq3a+(Z2Ho_rZF|LTM9Jya%4Ax+~XrV#t#~ooQ$l=
zvvheHjqKo93VA+lYH-IU*FjryrIl(FJr8N(TPy7t4iPdwep;LD#m2*CHm}1
zli1XEO!fgNJBdwiz~81ZnPgH5o9aBWVN*l8WqI{Na1k&0;|0}P
zwN)*RS8wt}kY{Bg$hhP#FyslcCyt97p#5t`0NEF(64sx5CDoUl)Ddq{or-GNIYDHf
zETr?ta|I%kjZVYJ1;j35hl(JR9~AJI_<&A?gY&c9!UPQtzb#Q}6S7tsbZL3JCf-qT8Od8wh$Al%0g2
z!}!|-K_&B25LD-#4T2idJuRn_NG5jj<^WHj*XKlY1VC@fU~~e2qM_sjprbiT>f|iU!||{j8hJc)EnWDNQvjZtH&l6+M!ONzDLwU)3knK(+%^~_7@B>u+G5nKzjr~Z-@f(?gZt&a&G#9(ssoYu0
zNH^Tzi4B|XoXEbXBdX}LI@27J)rqwS@fwqhYIK>t?5Z}l6uDIKx^Fg*v!Ir05
za4wt-GIB#{ETnF%S)FK)6CQ$S)jlrPpd7ZsS-c37E6n4E;8=N&dn+mLvG^yq^5Pzd
z*;b8&y(n7pIK2CktIOk%a@3nU4mpO+VQ3U&h
zyuy;J#uKvbu~Ryq>D0MJbqcTVH0snJuJ4@v>pRzIQk==_JFn2{a*Wp&!f|8mMs+&c
z40&*x2Cwf#TEPjyCKJ>3oq9{0&>Pp-gpb4PI}`d?4CFo3Sq3Kq;Q98B%RBKqYzj9+
zSBRTuNJ|MU5QK^Gj_caa(^v^?9yq>Y6Dr+Pt~O@thRrEW%K2{CyiLoc>4y1+O{~f_
z#N?@~9pUEjPd_vjFNkQ9Z>4e!-iENT-vUwm{
zh@0>i!9QVg(oZnuF@-779atF63M=OVEEHPF?+@WWRYLwegOFUO0mK4I(4qu>^usVI
z95*XA%`Ry>^84cS{Il}E5HAC*W{8P
zugOn-i{IuN5=I5&$H?%MUv_f7{$#Z7q6aRVWWPp=y3o!7fDhI3baW3$#d^3xOj2sG
zX%h0~SZq4R=*875q>u!$&cu8yt#dTEzGQAYIeu-a88%l3tKmN9k#V@RX7%-K!RdNt
z9RPlIRSf*VL%P=qd^g9?U-b`;X_%cEA~BQ0bmChg8(-M3h>
zq?M*%=l1niZ3yD2I*CGZrj{-@s$-q~(FCtrU{+NZl30Y(JvWGqIGbQoQQ&`mc;jTf
zftT3t8ENh_1{@Q((srR!7Hzlh0GKFMhXr-N@pJR1ZohA
zIn982F4f{hK>|!E?^NEtTe8J8-f*JfcR*GTH2h(AO)fOWYw|-=pK;e$08KG6vf&X&
z!*2%yTwR_3&m2v~3L3o)N$)C}Coh`9!>h=VsaC1>#^BM#C7m&mDSY)ZAi7I@Mc6K)
zqpN;~%;TXvj2-0KUxA#-5z4dcMKDCZrcuSXU${b|)hI>bNUPqM!qDGR(1Z{TIBI3x
z@YQfV;CRSyL8O}k2idJ)=*0F+gw4tj_8wTN0Kq@1d
zk#8g2Gt6>hpDcEkV!`ELSQH5a#k7^-UPoGEgMoGHW)11h5zivf1Zv1?0{pG@$c1G3_V>1u#?_Ynnu%~n2X=rFjP_kv2fE~N;ed3AZ`?uaD1OnGj3M!aj9n
zA%03OX)A+LKytXR>z4_Rb~29UzCbI_Ipz>yW9Jfm_N2+7rSHy#XF%D>u(AIDjgH5d
z*iG`&(ioG}#^NbjTqfxQwYC;%Dz7E$0Q6HbwNlWPBc-ZA*B2rCIu8j&S3+Wseb0L#
zc~J>P(@z2YW#f@lxZjOMTFL|jvpK2a@JrHEY|(>;bnDmj!h1+Lc6w7DbPhVLcA(6r
z2>PQFfD0~!j26YWzMyZ;m@N^fNiWP%DvvxAU6S
zea!0K@h(}sEn487P8TIe2}SQiW$BOJgMWM?hD1+xC}b8b&Eg^7-Xm}}Fh&kWRCx|C
z({vnrhNjEn7e9ed6kSPAsrW^j`w$&3il7J6HqfQ^e%b~Kou|__L|N9f&Dp8J9&)J#
z;1H&*0Ba-wO>$*9T5@3GRPn@A4ON<&z`?gtd1(UYTTac*If3){vXHr*z>%C*CvZ-%
zvyr-2Z5{Jak(@rNQ#k53=o;b|DqnvkS>io;^KX#V<$A^B1fR?J2_>KT>8QRxbNM*u
zbkst~>M}PC7L9MO+p_4Hc6vV
zEpC8~IUTTR5~^gd>3R4>u!){*u!)h|4Qx6Owyfb@D3f8MHI*MVrBBvLtceXJ%d~t?tBCY(U9uQc9O|DU{v_TkS>-z)pa5muf(9D;$IT)F@0L{-cILH&ZFK;*U7bgR6IqVS;9god579v1N$r761V6asf{f`-S5!O5u|M*PN%>z_GUSI(y9K1k!ZEhgy?WIObeYhkR=T5*(
zOSvDnoY4?1NUScg1*ZY`3Af)9o{W$rt>W<&I#|!6l{>o8doMmJjt{IIR_PKhWF0sV
zctg%@ban9jzGeHC1*?O7;dmX!U{iyA%NmvXvemFr76xDRdjePBSA$DyHsNcv49|Gm
z@t$fKe&Q2h={&M65*gC{a1E+VcM1$$z&`Z+NhOANpvLev
zp~&zKb(mfrk4=L@AcUExUItAG_^1=+(r)wuRKps5ZGg#pe~@sd%U
znW_Pl^;bUpr*oMeB?WNHiK`XLsmE%yn5h*(QXv54o#Yy+*HM37K)nvfO!?L8a8j-z
z1imm*CZY@u9A_KVges+HN34^O%O{@#l({A|!7xcNPRdRv!e)@eJywi`+e=m0
zy(V-*{8X8|IX9CN-ewbK%C8R3VDoIv4UGm&C#_f!tgE-j%Mh^B3SjDuEt%oO6q}Zc
zeT@j6eCNS&R0HTRMkgwxq$SDnMRV1cYNN|ujpk^jL=v)FxrY)ya3o-b!(f{v^SaZ~
zD3qN`^R6QzY&|`GO?DlSZXh?WC5t@rfVLoxj-^&Zyo)QkfR13Fd=_k#ClD~9(#!`O-;Jy})^`J!9VAggn6Vw-OX
z$iG+!cRQL+M@Y<-^CG)gD;!Ce7GEhDI{<##z(~C|0;}B(I?L>mjivEsh%h8^j#>P2
zZ+ndWFz#tvoZyIX6v{hk1k_i4OtUA|_;ao-J}3+6+%h*Si&9?cg~hG>TWV<*;@OLE
zotUacP|2&*$a5>pb;>93R`Rzhhp$T(dapZv6|%azYHi)>?b+fV`+^Bmbqg?V0Wx3#=hCLb{Ws!R;GmsiYI_JY0RN
zws)7iy)Ieq@RQ}JyC#<`c}>2uY`JSJAWKF_SF&7O4rOm`lHmgSE@a1lsWN+|yIn4s
z-R>u|H@a(b$&ANleh?3Fzpv1ak2C$UvP8
zglbwPxKDvEq;h}=VG)87BOx*n_3=o$bSlwz(CGT3e{|Yj5`VC%o~3gS?McDD!Relr
z=zw4PFiA{Q{~Kmn$~{ESq63~Iw3K%D-V8BEBP|ggfCmCVoH70DjTE^L5&i1vma{ZR~D)Kat}^N7eHc<1<0!)xd*3V
zaGqL#)V0wzEon%%9)bY6H%!T5+#B12^1$=!wA$eh^ZfnM0$`+Th5@HD`Eve2l+?ML
zzbk_1&3FckR`g|LCB<2alL;^p4_1uNCrCQ4W`(BNS@aY6wleK78R{z>!P%FHt&54w
z5xI#~ngTaxBw(}8Gf-3W?a3&I%)o~ifk=}c+3prm5BO5T3rP>aT+)FL_$gUlwug5I
zKHR01=cbQ)_&bO`d(xzb_w_q>L)p3f4r7w);hje_e4t2Ec`aG~eTg`l0VAD-pI2W>
zXGA^!CyEgB(HZ3Xr@G*~^T35~6ltlnfK;cV8-T4-NvGR|+b!25gSZR$MGSwF!443_
zmOq^Of1huZ8odjrH@f9)u{{I-`?v}qL)YDGka2T{XYd3Wi$R|1bi%;idVM?w8Ze=f?VsMFm1ysDum|P+(;JCGd(v+Dr?)}bx%wx@
zCXfE9a-1`Sc8O{_|aM-q}BWw@6E+6{Pwn-3V;`lOf&Z?*2(J@L<5@
zAL34+cV&X7)oIT5w11qT5q{&8&UOj`$nRlUa`PnUBs-D6}W-#&@0uW#{spj7=WC^THxc<+aR!@4TW2IhV~K
z=Qnr3d8hB(TcoAZ3R1pPHv*gQG^AUl`OZ9+AA89nxp8qwYksyrT#zB1cg(uBz0DJ9Vl|&91cBwe-$xl}
zm&ki_SPs{5RGJ>^xUzwc&;2RyB$H|8?_rugXQu@8z
zly=ee>m=kt0pBJmI=uub#y7LmiS0wk;T|i7*hR;6Li|*jeCWGXaOZ54P=^JWDZe_b
zXMvA$Pux6f(K`
zG!J!5ZLd2O%Fd;O#}g4Y7=mAum>trcUySXNUquT5m#S0aL=I#*$7Zk?`(f@mbw(*XhW@h6Z9n*=+$aub3{+)N(
z$8?G^yV!bnOd?=f6gObpEJtT|n!_wnWmC#YIUQkRfdaIxq-umh6QyJI;OI(kl?cfzrg{4H6;BBy-#
zBf!%~F_Y9P=(^lDLOn|zH*$Rtrh-8VVjPJloInitWIK5}WK$|l_XWwuce*bNwCk%r
z+#^)*CCK3dUI|oyT+WFK9;Bq%lL^Y8Dtn;y3!ml*<@h;f%C8*S_^IGPYr%V<(p)D@
zCXuaYyu53m^)6_&F?9Ywpe#e+q!_;^5jx$IfQ!gsFU80O7lp$Sp35
zTs#^$&~d;;{LbLwh4@4#yVKLmz{T??$LmFob$8!ktQ1-tFz&*OML1?uicFpDzNc2c
zk)PPm+5<=P^5;oU8IP%XDA{ADGqj#XOne1~z|aWlz(;+eXaoR23Gw8lgJu2ieS
zmYlFG4ti)|p?k*Rian8OGK8<^z|}Z=%58p9#QA4Kt*!X?x%j(U8yRoI-B5e*l*4AS
z2-pDx#|-bmMvhPI8Lf`B8=;S0u+YSn6
zcN;k|^cGpjT-?B;H97^NcO4EIB@P-B7Xv(@m4~lMo(_Cje%myTEEebo@l!9P9#^2S
zFjg*pI|MOS+W}RTdf|PJMhID5orW0q@N0-llw3VWqmPW1?3FiIY0m=sEZV_;sm5_z
zar$pz1m!(A2ecD}fjwS90o$p^#Bj^jS1%0sEykD{wc<
zC8`r4D~ylxdcq-hO)gRKniNrGdcup{^%XEIMn+cxTb#hFCW$R%--XD;PgQ0+-7Ry;
z?2r6pHsY?yB{N==pUj@;uCIX17#Us347O?{h7~5M9V$`?xy3J3$-Ug&K9}TP;wQPg
z+%>r*$7}MF+&%943P_HT(Us&DvJs$3WQX7bM8jE1ovq_!F}CblS^>CCPi=u
z!{oVW9zCn=`WJU?1%$_l=uUX*T)$CxaT3uw@R4H0K-19wb~n-`yvO{6xA-p#0~B79
zDm+-}5Y0OnpH<-<@2;(Y@E8$Y3GX=D!i-6bM;j801{=Sr3|Qr6fJ?ALkktdeJj-2^
z%PM(IieNK4zb)?i3W%1G(UoXVu&=C{g!>dzav@#wM^(IIZYH?IJK`taw!0>mczI2V
zcyplB7rARJAYevFR|0;DX?fHn+9TA2La6#{Rh(~fH`yi5yZprY9(PSHaq^mc#d*KG
z#scDGgmfj&9vsa46?eN_GW%OUnSIw?lS^j2CSRHT++AY6`Adl!WIl=nji&Vx`HJ1DsEO1>fmeft|y*9{FMww!I+
z2Js=V3k>2%Sqqy%yNQP-Q*6l8P=NQ#)@$Qac**R(YPcURpN6w%OTiWG$tk$91kP}5
zg>X*K4KjwXhb2nK8J!BvgmAzB|Ky576Tzl0oc%jW^nei($Wl%@2&7Q7Y2UU|qcnk+
z#K;@4lCLDEDC*{XA2x}w!c~}QDYvPf9c8>x3G48_=oonkaZ*gV^dqg5qDANHyiItU
z7i0KVp3RWSvh5u|CH2v;gH7EBo^gP2sFmlAR^*%B_Y!^fq+JALMq^NRa;wpa_}g@w
zuw+tdSG3L}+jb;Fx|KQa)|FZ!&7k9*6}*d1fxSy&-lad|HBF?`-yVq#vF8E~Lb`DRKi{x^IAiV{sN-D5ji?Au&AnvB7
zfE?53z2c{2dD#ZxKJWFfwDR2aafA2((PvMZG>GUXNbGUW^nH*#mqAD-r3^ynkCW=eh}amsvVkG!HD?>bof$0mG=%FZ;x-r<9j}+z$@jA15S7)2>+ac>7o#aaQ0!Q(
z-aw#&r!=!jTRiwQaj>GrT(SbdehSS@s<&Oo66W$F;*HT<@Kdt9OmkU491(pT|0M-Y
zo&N!Usg~)ck(Kb
zAv#afyOcud)ILZ6EkOQ-`l0Mty=QnSE$@fUgG?4+hM&9)i!NE`8+HsAu3x2TG
zAo}b{yD_S*PRK2Xi>Yp
z0G5>ak;1qW1V_b_)f>a{CU#DIj~#-uU~e6uTZ4{hiT7OK#*GTxNf#|a*?Z&;H3}xqXuZ&3^?)Cg4P35)p*u8EnLdv=s
z^pT^8~>iVwtZQRzhB#chiz^CW^H?0n?77tTMG|RBz%Dv>?agN`7UdO
zVGRr39+u%x->L9oihh?VJF5-yHYUf3fUS*EZ491_%LMT*2=3tH7gF-%;$PvV;@ri*
zl!RqO(D=#E#lww`VrqvL3RL>urj=*++X)2yW}?rYv>O-yXHa%77cZHV@&h`LY{aK7?_$^+#LQ%-j?7
z4_C%{D~)~%Kl%A7_nOVmwesxFC*h}lLiE{_cH^fWg|c(`DaoXipVE0`^HYX&
zCuOLBbn>07lz=Am^0U?ZD;bRSRPQrrBUB6}*z7uNof1njV~x^e#W;tRy@l$GdsR)e
zs{>NaHTx9EWEo`PCqK=0_rR;Q^4#?CLDtiWK6}z`H2Y#GJC|llCZ#l6=aEgb4e5@x
z2tU?nTME!*y}WEqJ}HBdo|^m|xim;O-q8Kp+9~Yhs&NVz77t6ox$F6AB3!kttTC!l
zpmcGY$pGTrX99={3gX_GfM~-@&A1uVh&x6HkDt8EAoJq2mue;2wL9VB|AZ*CC+)@%
zZiljS8G>X}$`Eue*$lyuZd32{Cbpd(77FI3Q=M&YH)M#*)7%>ImcL*CPr4$5Ll1&K
zsQ17FEpdf$gsqF9^?5Du_i2|env5{Hg^-(J@|9#i8REyh)SMgQgTyzZA>t=LLqy()
zA>kqPL#6O*T8Vb+N*Ll-h(dePZVd73PrI#0O&!h@X0CYBjAqyZt2kzZ-}?d(v)9Z4%1PWonX1
zDO1yVWHU8Gx*;?*5A}$x$Tue#h+coTfo#uUyr+TuQM}bT%RuTucw;!yZb3XXa0qVT
zt~IMI7{|e`mezh)ZD6*;wpM8KamfwU!d~KvHG8?oOCPzt{28&uXfODwm-h0YR-WAm
z683UG(PvNEjlFyX%Fbmkl1V9h(RpOE7el&B%=VI3TVnI+vLLV~ow{smdTWMQJguo_
z*o2-KsjZRYGys9n#e~g~Ms+Xl6x&~^j#L6Ve;C(ccrio4+9^oIf|YoO1hXh`{ye2L
zF4YYlzoM6*%?a;qcOSIcm!u%FMCf8ZD
z-I!k=l%31`B%4y^r*p|>eui}0dahJbAv(P;8;n$ML$;CrjMU35XOA61?=T%Ez%G=f
z`IP;Y5IVR9#+%k)-V)4_Wk7UDCx8Ps9KnvS)R;o}NOx%k{J#O3yASGnqi_WBHcBw6
zTMl!cXxrwK4!EtDKT2VebwA6?
zcDQw4OtxdRZv5nD-LTD7o)65XNL31VY9+d*&c}V*i9&nQZmjznC_9&ROE#sfTj!F^
zx((@GGEbCI3aK++C<0HS^DEnvT$rIKp56U5+Nwpo2$B{Xg|Q=W#*lwlxrX^!F)_uHF0~totR{_cl^{_d;c@7M7t3udh@puh4!S~*!!PD
z*}3dpvMFWnI+twrZb)}&mx?3B-|4m_urHmyZ2NjihG0DH>x{%*@6u#I@r6gk3pI_!KnM1bmO)t&kw()gppwTw)Q*UkKQLRL~!Y6FwXGEbrX*ag+
zZAdnyY(wXg%{C0_jxkGLO0{E20Gh0qmaWPECxeYCO?DP3Zs}f^W1k_vZgUkSb(hL-
z>0U`mvoF??x2y5KL;jX5B*QrW|5p{+u1m-SeoOZ%%#?BRMdHYmo7N;jbR(REzA%Iv
z)@VKnFm;Kaogxr-;`%kYWsY!neIFq8)FrlkIj-iOOA;i*J99||7{*2)S<@9@>mY|~
zB#k;DRG5o=JN!T$gwgKn~Y+iTIse
zm-t&~7`rZ!o@VB{#Pe`;y@y|J->ciTlV$esvP3~8|BKfVnr}%2%rgR*h~HdDaan_~
z8UWEF6V)2TG*w5$rGvDyo!@%Mwu15>Vw-}v5phPZQ8Z1f3JTSU67e?cvcx5-2o}M;
z+Q)X(m(r-IUp@Lh)lsNkE$3B)B%B6zJC(tMPTUDhqr51Q!jQBLjnuf@C9C!eT4*mlzUIza!hyQ<5`A_Tv
z_zj7tQodf_khr#ZLoQ_m<-Hedo4Y30xvRV;<=oZGldYfYuCKtUtBeeL*P2gY5Zvdw
z(lYCSto`n0xem&0`U&jC?wVWz<2CsS>~-$?3J8pm(UriCHuSUHr6_&_E)Pre$CLuR
zhxS(WA@6gy*Cok!`APBtcTFxy@|qM$<~ViybM6`o$dVD#oh%LT$S6xCos^~eR+Z)V
z-0gMA^4os0eAHc&OP0JQUs?XQyT$^tWQ24j%kFQ)JoZB_G#I%=_GHNFai_!S?wVX8
z<25NF%k249x$7$+Fh)jK0_(|*m{+=6=91ZEelpwbuE`}cUX!29#@zK4kQpPRE1C81
zM$B8??Q==)WQnBTT%zJN
zDWY=Ri1`(FO$CI+2k-QS4$6L+&*qWYnqsQ$0JCYPvqO^T>8`>=%{cJ|H%1jfkd
zN?^Ub5%Xks16`u)hpZm(V}-jWm*{v+is*8n|BKu;77!jIq$}a|{6@?j?pC@axXn+3
zd)+m;B*<%0B$#P@lkWNo$d8fHmHfKA5%YF;n_SX*v7fZ=bl2pP7OzQ>mg7duceraR
zASXsZS90q0jhG*GH_|1z2mA#0u)8Lg;CM}n;4*H+{HD9M0>WcNbSJ!c-_<4JPRM~s
znd$P{t@ZEjM!JOesGsl-yx$2JT*BiuslpSjhgm$sjhIKeYbzi;MnqS_o9$~82i#0>
z3HNl!>H%RcaM$D#F0V-uZVm{u-d$q>0W(6n67bAkn|PhO$u4p3_7mp~?wVZU-94#y&-wb~tN-3r>b!%cD(A>LQ6CXkC
z;_!7W0b+QhL$ei@%D7Lp*{Y9JO89y?KaW~0e9lzyF=r0=YqFW&7v;=Cg)_5o
z{pXXB;Jmk_ipcRJG1F4sH}vfK&u8*jrue{6+m((YA#7QWZ#6XTCX_)>Vk?MjLeV6hpcpPsNbJ?)c^ebJXj%qbSz@
z^+!+3U_7E2zK{PjO6tDp^SQ-u`c#e{m8YtKPfc`JJZ{AIHqhq-lrqeo6LS{
zE=W3k8z_ECmX~cZ?vtheR4dO-AKzgAN}|u6G-)!?HIUfDWL^u&bD4}}Qp#j>9@$LB
zkS@M|F#BG+(Rmu(e7#llbI{DBnb>tTVRoM;-WbgeKPAh{
zG`k$Pihf%w(@i5cy>AkY_N3jI-glwwT&5=(l`=h@Pd3vtq>JqXB4T@SAFavsdQ>!+
zp5B6N)B8k*=sZpDW^L$%N2wT3+^*B+SsJX-n5+c-n#BI?lAe5cU
zNF|$6MyhkkW~7F6A>lk!kCjU*NoRKI19R5fnr+TUWC+>QoG(|+Ej~LY2gjAH
zCZKwFIt2(_dn>t4rn%Qk@i}mPF7d?JgW{*&n&y73M7zDAD7b01h(dePZcK9u%Fbn)
zl1(Yo)VX9cO+&h~y%j|YyyKr2Oh%_6+hnfIV7{lxJhRIygiV&RAp2V2zx2{OZW-^T
zrW-8-KY3Y3##z~)*2=Rhd%`Y0LG;;^c4HS0LD{+Nf-y;*@^M}Z{EtPN%4_NIy_G*N
zLds8Okn4|j!FA`ol?xtJ_0_I43H_4#pK^J+`rBNdA>FCj*8<10WSu;z!L8}_WV^L@
zWk}J}t*z<$`d*V`6L;{6!!lSUF?*=fU*#oQ?%IYRlLe3Cr(U|Y%e3-xsor{`&z`g!
z*R~1D&gI$|lRRA8o+3@g^EtUG8a&5Z$+gzI=-Dx?l
z&lS5b
z?)!pPp54DDP{3!2K6}z`T=BzDb}m;enUu0uokuo%O{e?A)wzGTIyZH3Hk=Wq8A-Og
zeSe09c)Ht}zdHAzzft{)-MEo-?x%iFtu*>6{N(4S+zXsf^`ei@5mf
z_{mSR-92zwE6;6tT(e6=pFL?enmr0-=hAG+q?BgsJhExFA)W1F+*qS+DL|9;^0GDg
z@(f0LI_mj*b?%$I)Qp?KUBn%u8Q>=`Gss+{yH_jGuH6YJ`hKF&p0pc7_$w$ommx?t
zr3^vmlFbkd>3Vp}ZEQO|EELR5r#jo*?#K|Ar@1{Iug?9kmzr}!`~mUJXo&d9&k(b&
z&i%bsqTRX@hWI<8(4Mp#LpaEK**zaeE
z)ze_-@71{%fQ}{2$gauQWNwzLAd_Xz96u$?%M3NkSPr~WE6+_Ihl!UHefFf?80A$^
zcCOx0GAU)0I*)8dX-GFCciYCMI3vY_0qQNuHo%n`BJ?!C`EYgai@a2so7xMB55^u4
zKlReo?$XM$+fSnZyMySnC+)`6?uN2+nVMu$%G7io*-Xul&i4Y`*ou5}f`RDuXB)`P
z8I1Qdka>7@?w7svk=x6|#1^By;HO^N%MY~j>_(8Vm+upO_N3j|%a5S!T=pWFl(H9{
zM>cygr0ep=+t_@%EC{Sgr!L!?KA#~LPiuMt-^#i4qpFqJRULWCt@e1xWC4`;$;)ap
zCtOx(CAul(ka8taXiwUW-JSDkr12c92^MxYtBs#ycJ;|{d
zisI=>=KZalk(V`bdmkkx8GC8`)LVOhp;n^Zh!g$v%|xL+X*c$M8H
zM%TQ$<9QwC8lUC~9l8`V<=3Gi*I{0ro31YWq~SVD>**ZZNmNb~Bk6C=PA8;~Z0xb;
z5cgk-2>7A|~>`ciH29bPTw5aP8Y9=pUn6fboP=ABS>t`7QD
zM1-yL#ji;y1L@Al$7so)ycxh1>a{uj78%1UGFX^!g{WU%#^9`7+;%CB&honLQk+*O
z)!lI0Ci7o)`LyOFT&`UjpPU*R
zsW-x*23=q~#E%w~1s1>Ova?JtYXB+4quubN_)>mzUuU9HtzIn21WZE7W)
zwb)!aG_+FkaV7F`CFkSh)M`x7Y9Lx7P?V3`srwx}#~8WBnWo%vc&JE8AJrqA)odD0$&`%AB@?LMa!d;W=d{kbO
z@A;?~xoa$NJ}M)`?oEv{%TCVEM~%%Y`aN3M?3|B!lIb*up^bRlrW|@Ts}t>U@GA8hoaPcv2Frx`FB=NBhpl#_
z)(lEPt33(8D=~B{1>k|f>(|PqMx!(pi2uMzP1Yfj9@5quTXI~eT#_Qn2
z_E%dKC=TzohZ;+8yeDR8)F;D6Ybq$!%5vOC1YUa%#L6?z{h@5qzklmpg81*>`i6Nz
zzVwUHB${1+RC8LNcDNuN@H)qR38~l(oN7?9dk=}bSm--JJOkO&5q;ZAjnV|(GR-c}
zg}x*CN^*%h;}`j`NDL@%#Y{`Nhv?ZUnS(;3@XXT|or|=CPOB}4HwM)j*;1=I5kmi6
zGaiW<_mEtX;}>e9-{RG1KEAjcGFg`E@KX}kcN_opS6X>$m#*opI40!-M4vrra{S|a
zDCT`oc5?g^;qNcPan;d1ZzVSw-NVkVmP|@bQ0hFgjgbuLPH?D!6l}+p3VeZHuDwe{
zuU~~6cV;jYM??Iu%V|pLKJ0QkLFj-^2?_?v;b^Hn-eLzdFEsnDQ?k5F
z_0L?bKJXK2iEaw{YW44lLVMDr0YsmJ#2!an9t;HKG62RVk3$2FFVa+Ai(%sBmx&$&
zPm4-una~OCt*RSm79nRDWO9uoy5am_7o2w<9I&=XOBv(A3R3{c`(|jPXK-w%QZBV0BDax
zjd+A1Pu=fzv63;JUY86?`6?eivnfl+;c`8wlw5sK9z9kc&()jv`7}>}?RR6Q{A#p-
z#*d`WhJF~m5=$WENDBUm+>~|U%SF|>I?|7jwCue(2$mG!f$Vfb0g#hDR)Aa!IRBcP
zxu~t&d;9=1f63Sc7vu$HErBT_T=|U`se+yd?%x1~{QWOVIWvU{&FL^XYL6~PO12_Rm*CSjNgX|<
zsQb-ZpoXRTgy%qXG}PQVQLbmK!1at3Y&~PeM7`V|524=EU|tWdGD@UNt{(+FU8%AR
z(k;Jk8vSZtrN6R-wXQMcm5GDPVU3U`
zqgRxxqoeI6%xSDBmG{BrQ#iW;Q_~P}FwyK=2lq)es$-Q_FtBcUu`T#_dv{boTR@a!Fa?c@
zGujAYSW+Kt?JqUL)xlJ~9gM)(r4g1vI~vu!?N%66Teuvt67&h|r#d>-2QS*Sa@b%~
zzF}jciE9@)z`1P8&fu~QTQ+Q8vpLwdbM59$>jL}npLMmt86C3&9zTgw=f@`4TK;PSQH1wDqtSHcI0GAdqpm
z3~zIFB&;>VzQhV=E8%cJ^l;4{40_;FJy3y*E3MY#>Xj?^@83T(R%;K{8)GY>6fB{+
z@=`wP0hC{zHG<;EzS*o41o2Kyij}tsDAYO8#U(M!b0?BYLvslq(CV`HX0*!RZd9kE
z4?-S9o^R!}LZ<>N4Im>~H2pHPLBh7Okra5J1mUCkdpC+
zQq@31Y!;~!)%Pja05WIPVJzGPUAMrDfM6)I3H!hjf+9y-r3TE&O?RHQhYc5-dPJg>
z2_IH2fK1i$G_~0p7!{MI&l5yn2NvcCj9Mz|H94^9==IRf%EIVQ_(PF~~Zg{zMKA|deTLaYUR9?&z8w+S)9m`?&pMDK${
z(CDW_S+4aERezM()D4ievj`P*YBHSe@QEwaA~_)R+Vt(w7of`MOvuGTLD2h055qeT
zMj+)BIxT5vqquCSLvo*y~YA?qY
z5dFun1)rXiqttGSkp3{b9;t)dfH;w2YEjj@WCtf&_z&cawH7)NSj6W`g=did!Zu%;
z=ms+Kb?HbKeajX}6Y?G@T
zO6Rb`yv`iLJOi0o2=B$HGP8y7Uaje8K7@CtmP^xWGs45FTqZ8S2_n3Xte`U=r8mRi
z?tQZLMZsOnzv#VKSQ^|3ErUMQV13e$QRn$U20h0i*gW0>HlxMxK@n+!q*=pt*j%+=
z#%}TEgEi7pxb7v8ugAC!NkM0ixQ+>joc-hy2Eup)d*ERksq%65tLOB*Zmr@`s2E9LN12uP$#;;b@R6(r^9~ES_z}ho4ZOjMOF4JV5nG+MQ5VL4fuS$m$Q!UJkh!KtrAA0-((wzeuW#
z+T-%>0-Ajo(s3~J3VhUO+s<@CGwMfmQ09|GI=SfMSbKl;QBH)=dR3WBvuV#TwICN9
z6Xp(ZO!{UuBac3G&!#;B1TZ-Eb$lW?Mo%_4#whLvjvankScko-jVTVu&T<1XHMJFz
zy=)F4nMPvP4B8J+=(7dN9>vNMLxg;w>_4?!nkJh;8CK;o+axIanXI5Q-y}D~ux!a^
zRDr0h&9gKb^DbJ9g{5Jc&@g~ynzc!vMZoNY3|evlGb1^(2F$RjR$vyBmI7u!gnT^)
zW=M(vW=t^DoBf!p`n&*UmueE9nVGXqSW9=n>`IML-AwL3803D?ItpKKVvcX4D^-j~CEv4AOCEb`d`6&}`5J&Bi!D(7~BsCh6*;
zNu&VI0^x+@hiCtarpso_;#R0AOG9;Hu~Qg5z%%Ki)r`5|*^7Z>2G3rCPXy2C$p+6D
z#ofTOV>Z-7mPEK
zHES>qn{0(~F=;6n_j<_JV;F~|2pGo%L_OadIFsiEjQclEjOfZ{2F5*xwR8vLey0(t
zdL+O3wf}^&3c|Pr4;6uNKY;fpUr9=hdgSu`0?s`Z_{V|JPa#VR&RN$o
z;plPPQe%x~^Uo+n^}2f_3y{gLRDJZeU$s96mek5uIrTa4()i0GDV=<_hQr)Q;IgZCf=}
z%!k^p(Q;`DY@Texs$7Kv
z&u+>fBo{t2(lTrK4BKhNXEA9he6|tt^%$QaDFUA{sZdw8i8DD9pPiWAc(6fiOUk{o
z;4Qp1GXOg#v9mxcTirVFZY+i&tixnNZEwJPwW?J2;0K}J31t<8Q1?Mr|CzA6As2&C
zC^iP65-kNeis1iwlo(nergyZ@omq!liWuh-*
z-Tl$uaT0`9s;Z)48iGQXo9I^&jh0P7Az^O-g`{s(Gv~#3Vx<+GAYVGvU!}#P4s>BtA3KSG%#6?xwG<)d*F6
zkRSHC2Ffaky+X+9kG-ydTnu}mPINJSHLtuQX)`L2%gqaTwja`Qcy=W|=7wjJ;sE{J
z@GPA}db#LUth+yY0Vg3pJo~?BwQQy;re8%_7I-G?9pIVt&uYe8@azsCnZdKy;}gL%
zda}VYMsYXr>~OeyBDvEtBR)(`Z3Sm@xstAtn1#*Wfod{a*z7Mgoy>>LKCI~qY+f&LXe
zF=H_nkr-2|9>@=wErPNNBC}&4t3NXPEpVA3Gt`MLklB3d)kv99e_TFZ0JCK%J_c-l
z$5l=_C}Y4jZ`R=8K*weIGe{Q~osC4mDKYrRs!AHZqFJ+dA;~)RD!S6LiCHsY>;TK8
zZ&owrf@K?kWCqJN;uFC#da}VXMsYW=OgZMeld+3ZIVRk8zS&&vI#CGB0%SW;L1qh(
z?a{O`A0Qjka;fgn0?4o`m$4=R*>hwCbGnN%Ew>qlV>ioo7lmUn=c4ChVQDxf^b5K}
z#mc0oA~5#y3`%l=F(Wav2F9?VRxlQmmI7l}L%tq^F(gHRF(wx3zjkvbXM(YwtRlXj
z*JegrxmOYY8jE2QU5T|dReK)Ps!|<<>
zplFw=4Jx+LvI$Tmj1EAN^pI-CT%hRJKmY?pzriO0Mf79?MU3KZK+%!I@mgqkD
ze@IVnov(WN94;oNh|B^=3qH>r&_HDtPJKNRD@(xjd;saGS}skW&8vx6mCJmS0BMP=
zpfmquH^U%lP`14&NQ$`^orQ&^L6Xoh07)sUlirJf(&`LqaseeHL9+&wu(4L46qA+$
zN(&)hkAV`BB7hPT4fSk?aVF0WPDiEr0VNch3nlhdr@xUE%;{mOHtEeUboxix`l8S&=3n$JEG!M3gq8txGFYGVV+5Xl
zl0i={@MI)u*1!`s*9x9u(o*2*Ly)h>;0Z|);E4%`db+>nOwI&P&q~LtyJJ;jEvE5k
z?s)bizM%RB6<}SMh-WWQzZ&y?JXXa(nCDSp|XG8IaWEad_^89V)8)p9pi!ze;gTr4udBtd
zLlEKxlktsR`4US-ik^iv_D7fUit|Ia`_Y8i5@1ZVioh(;O&C8wH|ej{jJcrOP9T{<
zx2y4qpc_5epc|vO8|b!VcrqM;J2ClG*O?ivAeq<-*j_r9^IQsrSy(MZ9hohxR@W3V
z-z3+5Etl#NEvtZ7mCH_(SZ!QZ(3xj~n_-yNkqzfC?T*6^fP>@VKjo&MJdyJ;52IIL
zscF0>G!5{YYI4$V5mdWdr%59v7gRG+Giy){TWW=BF=;8NHVXNA4Aqbn0o9mXs28hp
zCTBvm*@&C}C?`gAQz}a9)qO^v$66RbD;k~kMU7C^5&2=W&q7%RvDqV#)gPNZ0J#`8
zL!Ia%I%^)eNYZ6gAD5>Wi0ns@j$@k#@li))&XvU`>r}l~BlSGe&qcq$`un4Q<75cM
zSM^B)S~Rs*F||R3Sz0zRwI(bc@R{__YQ|jnY{3@=K3j-SgwN>7hR+zq-Qcq$uHJDa
zg!96+$sD0&Y;4q$TQS;P?*Gtf%tC3$0JCQerJanGdC#aV({gFbY@SiWs$904L}@3=
z3g&cUqfvA-jMFZbO)ol~7Berp2n$QYGofMt&vc8Ej*9@=6&b|j0%%5hW(}ZWTde>s
zCM^Zfj)i6tPntx^qOkM
zT%hSbAb?G3eF&cjG|`g{G%+l-
z1}4I0vosbi=lAW-LU7lYHJ!~j@AVH_E=|+ThzhH6nRyaXJuEBe%tM*ZFsAysYAC$&GxOHMEIZU`3lT
zX(_b%5ajDI+C)+W+GILQ*x>VA`7+VwGksTXrSqjuDEGqc8cmZ_K>Cc_3%91~)pgs=
zSQ9f*zj*~!^|xpQtG?O~)?SgJ+^Q}qSDo*Itp2d}63E41E$Rn@wSLS1of50I^QQ4?$GkDkXXG&@fXpc1bA99k_~
ztc|Hv;i;BQ;96ntfNPl-0H~>E%!O-T1|&0FdpkZ6uB9g%u4NP}l?_BwaG`nUbO}yZ
zjMN)p95fK(O85#E)HoehPP=Xz+muLex~QBFJf=&PWsrXPb<-%|zDj>(37gld3;Ikmc6A8EE4)!JB4AGMK*Imrb78Oo{;XOR#3Yr&ec^b0GEBsCJbnm{75KwUf$x**XoAg}zd<)O2g;GK8bwd;
z-BAJk0O5@_N)xCmqm3{On)T7v{!$}c9Zc2R!APkFvM+-^G^%^stuUyzf>N!#5`uHU
zII5#leej}P!`ThorH0zmL|w%nmu=Y@T()7$hV5%M2itb8-MndC0RL~;GQ1(U8pIDe
z1Ugx2_D#0;j#rx%i22z&MHx3D9mAZCU}GK12ZgTJWEA(~kn&h_9%7pFX
zx^jU{p8u}PGZtGpsMd(J6|g*bD78?K`>W&Q!QL=vH^b5P_+TFhIJjohj?1_1+!3tV
zvOBnD&GzkUw(Qt_5u^kc0$;&)Svl2-$?+;k3^b)tsXj?^
z@83T(R%;K{8)GY>6fB{+@=|8`12ERE&Kg1S3C*)vDG1`9G$~fzCQ;alE-uj|2C>
zNGc7@v;0`AOC6{s`!5=1wHwvx=%z^mC5
zEw5>FvZh1Ob%@H?54FCwyS`m|eVwD5?a9e{qqV0wQEIfF*RHp~b>0rXIJz=PhTUyz
z^U#09_@m6DpI~=&Ch;9(OfFh&`Kq$vRccL3ug4k|Mt8y=q5*N~mtbC)b+R;j{vap}X|&!ID7|;I4k_=C
z*6;?10fnkmNxaWnKer-^`5oPRNDS`Sa5MT)>eWE>VB%e;Pu|SZ6rEf0mE;bA|Eqmi
z6FmU+06&K@lXOD}Lcf?GfYZ4k^=csMOTDW^61$#)SUDJg;pXyS#fo4H{^FCj$vnV2Sba5Am~|@z)Q69
zoXQ#fg3CD)j^?+|i!y93qbfnsvzCHGB)X7ltR;e)-wx*+(LD|vb1qU4P
zvgixg^Qc};`mqF)4qTqWBbbs|5PbjE*9F<>jyB0%a;#(g%mtQ|N|uA`kD?3~VnYvO
z+#aK(ZtWeG&Mi5K68t~*-ULqaqB9&%c^>&LSXcad@R-u=*1_w*snaO$w
z9sKyiDmdZmK5^@n_}eP0lxe#`E?e4f61gN%dw)Tf05=ON6168ZqBX{<8nILrDqxmp
zgwOx}8(zUNaQ_XrS#bb06f8h3)noqT@R8y$J&>C7DrTxBgeN~rHAU_1GF{Ac`e*>F
z-p#6_x#M#ZBTesMRW}9n`fgTLSb4%IRV<-f>Fg9NWDIG50EHP$xJq954)Om)YkPfy
zuN)cvf&b~$n>d}QzZDNfbNs%10}6xe5*+&*pc0;Zb=zwbWC~o7;1@VMZ_DpcD9y>&
zM!=_Yq8r9MKURQKN@scriqSxNu^~-fZle9q6M>Sj|AD}yR8R_pwd~o?`JH-qSgI}6
zLKs{PCNB$-nViu=dW7FUnW)2g_b8kSo$jwV|Jk$mr9{
z=)!~a3xd&IRoyGcdXRn%eXD!rcj5PY(3gaMaa4HZ2_Hx$qH=p>6Hl(avZY>`-L6y~
zW%tS^9Ns+$7?=a;R|*J#XyO|X6tBPy$j7N_u})Ze1tzwW7QOf?@jy1#318Hi)y*vk
zEO!pC!A9Y_;1s@I(j6q+Hxw#X0cp3cqqiSFspr`$aq+O@4TEkkkZM)Zo3$iWk5!}6%c0^X}&
zn=7L5EYM*wgKkzrN1t-g(T$TFbc5-8AU;#MuOn^{(FuG0>QKRz9q*l?YhcOs+!;F3
z*gTt=5X26&u%48N^v!@1V1qZ}AF!GQ?|9jG4DSuSPPU+XLt~{q3!^=L=P7q@NKS9I
zcclI1P*y{~JCp&}o2<4emLnA19+DMj|L^|L{9Sm;82RIjkv}Hc(zcgZbr)zEx<9mQ
z7(|gEkeqB+`e%3(hub87hLC66b1&nbFT`?B`gv@@?hpy3qtWw!J^23It^Lxiw`5^~%j
zGH2r5CeS$&*Kv4d9$T%AkKni2lcbDi`*~#G6
z#&{j$x5SO2`j)9}8!xJjcPy!#`hH>Pn0s{tJnX{I@kT3yQ|uRpa46sIQ@t>Bq#U5P
zbG{8}mA=Ncp+lWKA+|uC8d5`(gXpnxhBkvSjBl&J3
z@R8zfBHZ8~uf$CR28LTf8>fp;XZX=>3#}N<)R>KKOQ>8BjepZAcAI}*zPlqYV-SU2
z|9Pu_Bp=22NE*eKkn)yuW8d_--Qgdx1kD&Aku)o=&QFA`l3n&h_$b%y5xM+k_eVAX
zqMV1m8C0fgFFg#}1swVw;!^1P4HAR`tsJ~T!gMX2E*{RQI1e{S{*w@NjZJ*35%OP1&Yt+*>ZVDC!vy>
z2mN3ZaG?aslW{or8JS6NnS{7COkX>+{0fL?Z`Yf6xg7HlbRb;=h#sYC*fEK*vR#Of
zTQ@Zc@zM4#eY
zR<=%OR-HD?x>6tdYLFO^>T;(#53`Ne(a=V0yl|!g47H0*Y2y8ik>~z`&RM}|1w@K7
z*fX$^)beQe_2YuhT4APUmvrdL4n&J?mPx))T(KUvm$c*9%&g@aJo`cCrKdzqnjgb%
zCI-Ttd+vq;7O7ICEj%o`DUG?aGj8Iobh+b{=Sqsf*LnF`Ffm=>@(cr!qyvZb3h
za4MY5Ur$r9vN;y1{S~tLVw|h6@!1ziFWTVWY4qrakTd%G2|{;OmC@7ZLS>s(gfZ&O
ze%0b3J`B}^7+s<%$LJ=OT#Rn1wud>QR
z`Ur+kH8&AYy#0}x9jf;^*nq@_)7G&1ef63`pv|8pN0MkC@^8Ab(B(BSfc`+)N!53M
zG71!A8qF%YFa<#b5b2U?KD#A^J;IFcol^@mr<_uN8iKXgQMgXd-sb-Fy5o+AroNq}
z;hkC)SY71FkbtGf;m1m`?-8Dk-XTt!IQ<_P3+4PD`vL6L{U0f9r74NVlMs#E1;P+R
z_Wb@FU4<@?11{z_5J{ONs7z%30&AJ%mvjWj7)Wb;D52AIsZ)1J2q&g!t@v6^CNBMu
zD?-;ZGIY&-Jo@$+go*u62OF*Ayk8uTejo{V0veXx)XsE;Y13sTE}ih=D0sO|cQZ6%
zhmN_e3l>G$bbG)o#0o&4B@dF?f1S~vmjT7r<<$hAyQ*r@#co~R0DY?#-PQP=g2lPR
zQfyr$l5!TEi6fUqXRBxEb)o1%RL$C6qlq>o&o4j|+F{&cLJkeIm?o)eaY*;FE9%{;
zc2mZ5%kMe^d=t7;8Olvn1eXVOe+?Uj3)DfEgJxWJX&qd4aD^0=WdkmvjtaJP6-z*S
zt{Om=pT@vXWcd*x&_7R37My3F$+Cixg>Ik=1Zcm>S(AJ&|8fcPEW<|O*4>DxY9!Ca4r>cbX4nS-8CXWpqq!R`J9#WipzE6*r7`-qJgn8p{B;wSiL}%8j-f)m{kSB~D
zIgACWkHN%P7(IQ;1*+3#j0dWh-cg<|cU+y=-K6<|LuQ~^Y-dpBOE2%v*3cMy3Mjvr
zo#a8b{syfZ$mQ8|go;vs(lyj`z0wi5alBr3(z|Kb#l~dYc0hD~)3`gwmNUh(*roAp
zS2n5iuW^3!w(UC5Mr!vx;|$K+mTMZ|?(3H8EzluyFP=Ixq|hE>C#QemmTRTha*aX~
zYVftz+LY#rzVCcTd*mKHl{*d^VtX$
z464KQRW|F>Zd8%`J*y-PEAwYvVx9^}cS}s5adoBaWS4sn)%jO9u(FAzTXBx_W?&h9
zZDm$Yzjg*|&d7Qqz}{CQ>w4%=7+DN4WF`Cs=Yv8c>ri22!Nj&eS{I1uVDc!v+nySd
zfzub`cmwH+_^?8ExwSsRybyfc3O#ww;}>M8n@a=hH8H3X3-_zA(Mm1>#op~lTy79m
zXrg?9BxNsO284ZA479Y4{v)&~SZ~ETin9t_M_)lz`));jE@pay7ZVB^0f9j9W2ZwktCH(P8vzha>=ym7949Jy@n4dbW^d3w5$D3k~0Zq
zS7#`jOY>+d22El`ZeydBoa>9tqy3)1Gu|4+%>6Ej*vl0GMPCpDDlL%DgBAq~saPO!
zN`VVxi>mhBHhNRc^aLedkB!19u^7e5=V799Nd{T~J{SyF73+vWrkY1jhjFdu(H&4w
zKvkmtdy4A`>LVJXsPDIQxOpT*Sg0U>BW@lERVk@zF^@h4;QGuXENAA?&+rp@nCR2o
zm`A7Kg`r`*k`Q}Rw>BW|Q+8g#IC@m(SCZY?T}qG{j?YEx;gnx=!C3lLkUgjCHPDf?
zyX>U*{9SlTr_8##VU*1&JrJiiZ-&tU7Baif=rS;KcF`X}Z2D>!9S?XAb`iq~E%JYY
zagc=y?V^3J0JfxydMIYn95R2F44R&Sh#yE#lkCOjSZoC?6fPwEJcff0_{keV#VfGL
zxhZb5@{F7kOSHZ{AqGWa-Ms`Gt>o-oYyqv2jCsiuvoxH|?X_`;+B$dh`IlTGY0Eck
zZ_Oo#)*q>PgxRA|SNQ^cx}#Ck<`n>x4Q11jNfh1iB}U4uE;|y
zRkbnHJLnQSh9yFrH9&IA{=ADf*&BaJ@OdRn*c-?`f%e8l0ljj2Lr6=My&+VPRO|4fw`^xG5QHa%4|YvZo+y!9i;O6|4@FY1G?rms;&{
zP=Ia?6xv&@Dui19QSvY8ua5!BRmRsDFwhM7uG~Lukdy+DJ%A6^LSvug1BZ%*
zA7>G?@M{Ac!l5e~gxdjvs!?`;kQtboR4}^DGsvQbJdrI=1vr@<@HG5Hb^v|y+5!3~
zhS-Qq+aiY!fX6cHSj?2?!o^pS2F8+U8;coqTP1Y#DF+>8=(A+n{s?3)>}A=jS*C4i
zK;(06XH^YbgQt|9^=8|~oYkIe+xx-uz*CT|h38?Bv3$ATGiKj`d^C_w;h$i=h1s;*
zvIS++o&?CsH{4B2nG!@~uMv;Qw$c6(Q(
z%bsPN`clbvHgn8S6|}<6BUdPL0rDVMoZg>drfI%F{ux4^DYrK=mU(?F%cQTv7A!}$
zP%j!i|5xUT<{a_Aa_$*V-OhOGU1fO+b7Wh2>i=?N&wq~Wj~G-`61^RciQXW+-HshQ
zhPE}QD8(JT<6dvV15WG2uEt+UG7W8U?lQ*GoiggeMf>Qfc4IdEG_=9ZEau2YSV0Ln
za%7t`@mkQdTj4qmb7U+0Sk8vKt9Sf)t*PcH+!H##)f{c$ogrtgY{-zE7>9hh#!efL
zE&9Iv*ssiWHaHFT3eS-}JyDzHA7`>(XR=>+X20&te#OK{!;MjyXd9kk6gJStD=A$S
zdpn9(05ATO$jS{iY<--5=gz&cuZSledwoyJ{TqYH!jf|T(P(9`radV)4&~doa_83A
zeZXM9lmql$TFpk^!r2VAIE>8-jP;>>gB*XbTZm)7lVsV?U{4|Lx!-jOf8^JFo2Zb)
z+!>zI{joE0>1mJo?r(vfxiTyzI(SI|ctMG}tq^KSe{NnN(ndrxvV!j=VdJHmOL#Gs
z3R<%-ItEYmV$kafJ_(wFOD#07^acKre0in$NLpTLcI%xRaJI|$SNO*(kyV<3;a-Le
z-}ey1kCq7>sKu4FgIcv|g<9}Mr`EOpIr*}HZ)4DeQftOPl8;(^q&RBb>>sZLwHO%H
zs3q4^E48pxQj5Om)OwwNPCjb=T^zOE=^x2QEk05lwLa`0uLQLi7*(m|lPxre6l&#U
z>puUSeAK!(j#}UMkL05kA1RJnzx0n+f?5oWYSfZesa3YHR8ot+=(4r^8$QFtyKXIo
zrV;DbA^wqk)Z!z>QR_JWcqORCz^F4s|42S+@sZ-F
zb(Md-64YW~RHD}2>fX*KUdwm|K{NSX7qYH@az3(6#*ytt|42Tv@sZ-l_Ba0VN|23#
zQHgAi9Icz1a2xUV(W(g&8o%m<{Cod&eS~~-93kKDAIV2ZK9WvI^hAg$E~YQ~%s%NK
zuLL0(7?lXQLh+o~D7cir%FTB#;;TNhZ~JHFquDp&X!cY8NIshJk#w5Ld~o2|v+c}&
z=O3>G%@`P!Xtq3aaM?(h7Wv!!Oi{y;;%b?4}`u!BVzyYy-`|93T{XH!ln}_!;P**ZV(fyn|
zyg^UhmJ8b-R3ZZoJ+B4_N*j_5kSKa&yw>S#xTduwt&eoCVR8zq!ZKbZb8lrofp7g*
zgMGCe2Z8T<(QnZ=J3@TzdzBnG!~@q#zKw!tx72lLK!
z$Lh&wYogX@COgL9fv=>NOtxE-^>!EY{w;@?&TeC5yxxHvarI=ZK0b;eW}R*gGTIJK
zO+xm#`e;(Gjf^Fo#>CWkjgJ31-TEXu@d6&6|AFP|m3{^>F_3MX3DzjACY
zWc`v+H~m3gzob7_etYWv5M3@$Wjo1Wt65JVLG(lmXvt~6wKYE8+JO)3OiXpU$(DKo
zf!(V&EI%Q^BayZ6Z*6)*GPo6@Dp`Vn@-5kgI9TogQke;+nF;?iZn>0gJBu<-1*c(>iektQf{ydAM5_tT*E
zJX7zqlJsUckO6P$uMirxpp@=1!wdB`kp3nHFQgASQkLKmG$F++^y1yBpELX|SCG{^
ztt2~}h*|#c8Dh$InIVRH8%X!YPJ^R&aiQRdSqg~R6B_%LW6*|P#FUg)6ER0Ah$-7;
zh8XH?AU&omVo;2ZtcI91k;*7rrqk0iT*UN}O`kd#NH>(7{+=-XQ)8#^-oT_2AWCTy
z{y}D141Y5gMA`gFfNcH=)tu06?xApiALTUSSC~Yr%VO^XSJv8)fmNDZzzwPa+hKG7I~Cslckp~Ujv
zWw`3r#yc%scj37^)3dpbUV=`xj@PygEhot_magL?Cc`A}pk7p)jJN8@R0HWq3~w2W
z)Cy=nOzdS@q%t|^y?6nkU106j98CA$@QUWt{WsjUHi1vT5cm=P-wyxJBU@w}wsbqA
zP&bA`>ThomgST>5(gLk8R!xzE4QQ1~^ZNv_%1@|GH#)EhYqdukP1t@V
zV7@~NQF7X#-jU&PTv=!@!WPCk-4Qi)o)F-6;uwri%{`}tMXG(GxhObNeyLhpOK7Jd
zM2>&c$#b{Sr=L|H#5D)@fCQtvs_JZrOo*L+7W!6`7U*6FT$lK3uo6+ZCzVV*0Wz(x
z!CLAaRmc*Vg6IWQ24tC|q=zlZHWa;m)~u0Cwq}hW)n4+qY&epp2cyV!D2!x*z^f@h
zgAJtbEFiFA%)XtfYTF;1;K3$W?0c<(H#G@vl5oLOj{b2|ZD48tZ|Q>K=2V;r7rcF-
z5ep2@2_6>pTkwuE`t-xd1@9Pw(Op#)y!1Ojnec~;(n07uNbn@0a)M{#$t8G}dKOtS
zSR$jbP4LXhz{KV#l?3n7C~|SZGa)DzyyXQ1jukxI8>@mhQ*Fh=?u3q7OkecXWIPH>
zT=2$d&ejzVi~22i&o%mVOA{iS3*NH{Mt9XJg7-Y=J4o;(qH=;~;>jg=mU>4OvVBhJuR*@}-2KjZCAkTqq+qc6JPeJTn|
zT<|_YbG8Z|7WG^3{@v))ElrBxeVt%*SFIv=--f<}1WzI=CwL~FT!Lq*XAwMuCH#VC
zRtCW{N2w%ui@vS1fSU$LE-rW`1jT~)u>u0e3LZK=)fI1NwG|J$lPey5(FO15C@gWo
zI|3RxOie86x8R*-^y#N0U-2G8FuJQ&5xg^??;ydGh{_3`i6@ufS?V2C$P%jH6;}qq
zGe@Z;cu$Wa7Z*Gef?~lNC?IgW;OQ$~9&v`o@~?PB;oa9qVTlXg49(fP;$cz01@EOs
zpKfVVR=mF^7~NH?2;MC89VB=XQ8~dg@#GRbOFfI=87$!!JhL(go;gY-!Fzucxwzn&
z5EKjE_5uP&3f}4bfQ+7ihnIx$U?l+`3&yBO5lgzQM1-HPQ+@uTwP9$=pnQJnEWhik
z-q)fq#f9(7G;gc$VNsOu$){+bJIlK>KQsDsOOqmaKPLFxRjUZzFQD%r!DC2DH8(E3
z56uZ;c`JI!cXZ^rXP``$k7G%Os}Bv_B+Q>Z@UzYb2bCH60BGbpDX)U(L!j>nJOlUS
z6r9P6E(K?)w-{wELs5@?2Q_8Zt)!;Tj6ynBQzis3s{^e{K@!+eZkbK7%DcBfv?5jB
zSG1$uWN=HXHBLH@4uDzMRnmZ?XgZos;D~24J69eet%z4TuvoK7ahXwMvp-nt3wdF
zt5#7P)6jR2+K_04gb9;yNQs#9HLaH9V7K@`U4mwNHI%n*w6)O$Q*p}--3gEzc@c51MIr@U6dj6UHLilzKqH5r8jGS-P(Uow
z`9`09ao~RH#}bV0ss(Dut9>qnzJs(6LzKR2UyNjzRxo{$@<9vuRb{5jM=IL42Vi@=
z%*wU)(@D_CTzt^(5eE;M=n9<)Ae%*
zq@RR~gthU>nW4)tg(mx#mZ2+|vxC)xXxF?y#Afj>Vb|KZu<>saaU^hGGwA2m&NwIG
z9;WF7sq-F)FB|<82EIPZI%%Pd9i{plerAm6p95cveoS+4SFN%b{Q~+95?;g>t=c)c
zGV$n=D@(nj1DHi3uoqGr9f<~xi)G~A0tDw|#M>piLo<-REg;4&EKLJl~afKTOoSW35q0C477)F(YuJbtqSL
zDC^nCDs0{<@MRS~!q>0;-O%Ogz-)zAf09f`n&;B*=_`jWih)mdT`W84y?WuL+0_V<
zf5>Zhj>WMfub&+pJL>A$v18!>W8wc*@c(M~|F>fgqnPkC7};dgr{TOSJ%3dq4My*9
zA4|C37|r0$CCE4r=2135MoPI2ZUsL?ItkqXqQ<@eH&GaBD2c!YoI470QfxRM-hS=E
zkwG0dgS9R2q71lR@OF5{(Rj&Z3(v)z9YZir6KLluT}Z)5pN$X?q}Or4g_6-_LuC=1
zH9o4f;JKd&GLsSHc2KAKUG2f*w@jB^QSVN*oANG`{4Oy_s^yj#^ofg1e}#=C`@qVP
z-jf4SxuJB@xq?O7b=2eaW|w7w05-wo5*}75(^O8dSEez~<^aRO2f{nsSE?u)0qZTxP<3JOR{r2l+zJwbZJVHD~8W*)b)grX1%(BFu^8ZXqn
zB&p?jwC@ABzE@naoV|~>*ZuH`UT>pMx%bh?mdd@4W-j4~d=8$-kObiEk12O?`PSz(
z$Swjcp|nV|meM5Xs#G4ziTHR93R+FRG+wE4n=sg6Zwqs624v#&Y9t#-9o%Epcn#HMCopnsNKHc4r
ztg26s)F&|w(5kc7CTES-J0ruL#&vb^$
z@j7r1JmE9wZElp{IfMcT`f(^pLe(r6)5gc@@vR$%_$hVvS$FQ
zYrVKkeJ_N*d9ffNFw^PReciWv^tW~iHhMl)eM3e5m$k}HbdkUvbUSQOeyke;<1
z*y}C;fZ30q!cSz~(kF-gm@-CZvZenhwFG%3R(zl7F}sQg^l@9^Izq7~
zdwWT?rkzEqzbT~`4yO7GU|1^rD~suiK82&aQ}Di|vJ#qtDHHmp)H?r2zAV^$q_`~D
z8~x*z$b!wl(Dkya(1kgE3^T_MCHxoy?sorM`Jk-z{%Du=t_o^qyYB;_>b4J>9^7`%
z0L$6#Uj;#`YP;juxPqeXzCbhs-$bxZqM*auTt
z_Kerp8-wVK8D~e&AkDVuJ*bkP^O9yq-waLT?dWTv6|lU~eA2mF;IOJT0(S^8oq96WfnY=khXyOS)188!Dc3cu)rnlJg~Bh>R4xzc
z8xWd-^mQC4`y!`OozG}NNpXf!OM<nrKZ4yU@
zJ>_7EY+Rm{6Qc1i$9Q^vCWYopB5ZMMj6Aad_&jXpz}-}9#{&I3!RM~3>Zi!Vne=#n+um@orN+|b!fi*qbO={u
zwl_xWqe3Dr5yM&x`Tn_X#Z)aN`m9finl%^Sbw8B}
z-@O=cFp!D`O)STyJvVD6YLk}8G?n=h8I*RU$9ppb9T^^+9FX@2k1*5ugJWM5Kj
it!uU?78%X7(en~QZi)aA9K{eu2gR2
zA0Z+}D`!bgE6;J%#8(`gDwh6bN7f>i{ut1<3x!*{6iUj{Ws1?#W$Lp%lrNRq_W25I
z9!vAH`3D@rP1(G)(-47ShvuNl!+#JMIffMC_=!IO0!EE(2O(Rgc);JirxXU@=81giwBty
z6A0;;5NAk+H7?|QnDn>Ag&dcdMu1(!EG&RcbcnXdl}*}nv=pQQcDe-rctwRQmS0d*
z$i={SXR8UrBIF|#6(TA(-9C<0FBudfGw3lPF>CE>eP`bVNmodS$oF(a$Sj7i#AdsJ
zne94hgr+r#L{mf&A+uu;;8DT|pNjQ)sXBL-<3V;Nv^bOTATNcoY@j)g2YET>mJQ=U6f5iu!9CnQWl-SI%y19^m>?P?8D1-r`URClEQnxGj2&!8j_edP
zSSZLsxV3=DLj+xupE3gBn3YL5NGJX|0Wnau*3?$9av_c*ffIW8V|g6Hs3<~Gq`^(p
zjoL6=N?oTn;(!v*@RAQC3@>{QUkxw$8~K(0CTJ;aN6fR#Cj`n5ABkg2l1rNM3o#1G
z&LEpnnk4y@td0rA*&|D0QAD3aGKt8NePiy~s$~2^=iwjiJmiQgF>#{Dm5k%!z|>_Lu>qW^8yonn{GILKi$+!
zrF5VhR(K)Z90ig$cG)I19cIWZG-gcGmG?4JwQb7#3qR$(&P3m)JWk(Fd3Tvg=|Fj`
z@IuPl55r3cGMThB2UCT5*biMF51MLX)5imT`gqtx-=+^v-%lU^WGbZteXzm{>Eqx8
zv^8m^C(a{uqrTEL^fOc4Y#REppN9TmqHog>r|+ksecx>8P&?2NE4+|~4uQxjZLDEZ
z(f&#%p(E{`uA~!8)w3z-So$D0UKlXZw<(F!_fyh&rcydk5-Z$ON$%`Cq}4bu=rp7?
z$O>r{qpvuk^(%ln^lp7_rP~KB3hrBu@t2Tv?3EYhk*gDY=A~V
zVSf#;alL7#16u1~A?mu8wo;xap!IqrU<+t{vB3uY0$O((D5y&px(>C)^_$>R|A5x(
z;42o;irUExX!X9VNSI*WwKHYDhaE_V+Hx#CQ#9+FAs>%s9mU5)H0zen!FB)&1;q%}
zp&Fbf8;(&lljIP#N{VMZy$sJe!`ppeLI?H>mGM+v4BHbYFPA7Uj@9TuW&!*c1^5q-
zXqL;tO?Ho!puLbb|8lGvi0P$ZJPa#MJa9{kY(+xQicgNh&QXZ2CE|Fv|9H3!W}aYU
zpc*}!j)Sd)BXDJw+~EtiWWnxVs6-989>nQ6;J+`}$R@vtYb+rSf>0|DI|o
zcrjaG?hCFD8}(Kd&+Ki$82p8m2Jzl;UT#&~eK!?4gsI@Z=ptSE6G9>F)m+l=P{;9A(J0H=%}~d
zXt*CeKtzmw#FCtT!G(i!F2@3j#4&jr-
z5}a+I&A~97fz8Y?Y0`vgkm1lgRB^36&AGD+AZ-sKVssdmqtk|BF@zdv~xL^6kf`?WQx(bWa_zvj7AEtU5pNNQ^=8@i~X^?E_Oz|rWf~4
z7lzH@MhzzF*wmrg8wDkBp)wD1)Auf`Yk|D`QC~@^QLpnnhaK7NfcHA
zFI84W@j5&_39r@Y3*a!!7R`<0ls>>N@f#AG)VB=sC07Z?U@vGmJV}m0eF|>WRlmgF
zIE@YG@3G?>EA=s0Q!sWk+PW-v810=DGYJS(N?_tk1i(45HMx(wf8Xbr7)FAOzugAv?Y+38^py2~&J+j*yQEeWR7aLY|ClthPFrN9Cy!PQH|C`n$
zys$gwQF<|(sVKdd1KWk8^dbrXqdP*shw|oudQ2n~sP{^gPM$!$<5pDg#B$#HvD*YG
zLV!)r36S8*Caos=IhNcT{U>KYG|qY>qFMxUkFg=Utfe4<{UjFHj30Nm*IV7_mB)$v
z8QGf8jlFAEgs$BLb4T*nZwk5V-^4l-8bwuHXtCSf@6
zByEFwmt!53SMl_JK<(p*M|3bgEIyiuK;xA@5RWA}hs8=5tX6-)cV@a?o28E0AkRF&
zWWbSC1<1YuCZ_>yyWsfnSqd%%kY$PyAj{OnezqZ{)%N@lnh-2g#Ua_f1ZzTiqaz(6
zMs0AQdl+T42b-L(b*MBE#oR-MTR0yjZg0T-$;PRpL?6p1j}mXCtjJHUbJWGIZtf@B
zh=|coSd!CEXv&E5YnVQ|(ZQu+|2H_Ys`ejU1erYoOI`-q?E>NUF9njaf0<&mf0=sR
zCcE;b65FnvVBtvB&%!GXA*L+c>NH{~cSsJZd?<$@+SjQvHvv4Fv9VY~z
z`3*I*4$;!bKZ16FvF2h8>k5Lo2b%||RTRCc{!;n~HFQ4(!K+T78%&x+x!2p$kkUF%`xD5_7ON}udPAZb1@ezW&Ry49kj&O_h9UZY#>bpx
zR9oT#hlEJP-h^wAt@+&GyEf)Lm(Qu$N1oCw^kIf+j45Z{I69TTrD0I_@?uBDRoHkj
z$Q2kqc#fO{!2$z6>s~FH*Z5h{Q?fce-*oHBP}?N
zx251xcw43z@wQBTW|l=rxwJF0K%0Pc)HWfzsem5(z;k1HU8oohbM6wpTYiH33JyMYJWI1|&^IP=uI;EBeW^fWW$
z%+q+3VCXl-Tog|VJ9p)$r~2kOCDFWPn9K5LoB4$8GmPOKEiG^Q6X_Z3wU
zW6Ai1^atwbF9E@-My|uZJmbjKl0v&Ni{nTs()6088jp#MygmR+rE2HGB~zi*R$uAD
zD?`s}};=~xMIh;i4ukgfUL;4{Wu%H410DB3JRKo>1dtcW!X
zC!fOo;dEF9Ov%Bz9XyK$-GnLC#(@J$^_5gPHMXB{R7(XbK%4jJq5RN9LKvHN@rWnzrOkJ2)|5BUn+@FA#V>xOU
zYlTnX<#3UTL#(I)j`-00b0WUK%0ZPQKH=-4VY0Fual|JYR_Tof#P=iM!G`!Sogu!X
z?-q!Uo@NH|olzUFwQA+j+V!58?-VEIizydCeaFb2H6~Z0eNbu0*Ar(Epig}zZI@c2
zr666^CiR{t5A5rg6xyxXgMDfp)4*>oiH2&gV?H%OgL_H>w5a@-E~+(9(PUp_1$nCs
zAE=#I0_3g8nVo~YSnkpJsDjx7d50NHF&pN^T&7^&BH+54Ft3jC<1mj&gy704D4aYn
z@3|M^xh@Up>UrRfv@tpYy)S^90Y_N?51AJQlL|;sS|lN0VLH<6q8pI+-snZV3ZfO(
zom4d`0S|YTCz8Z>#uA@#fcQEnE9sO8fe3(jE3!48JBu42t{^3+=GzG;Zl)UwgH0?5
zY~vKWf;Ygu>@ln~hO*>nXWr$gl8S|PKwcv_yoZPw!68d>g2RL3o^2hTd?fmk)O%^J
z)S-OL!My?+A9Q3b0vaDe!6=|HEhr8erJz!vQKlF{qf9+Hr!hz|wex-fo{y!d-Ln;c
z5oEl}Ayfr2qC@0_jIYi?l|x41{i3n5vMeB@Xr!fo8X)6WfCn37#B>H3_k6p6jPzuM
zjJeno2X_K{^1cQA!xB5phhMI4xRMXg`eEE1B)Oxf6nAv-hv7=TOW@ebc6`SjyOK}z
zKj|C!;+*~3Y$TpzHaQwjTQB6pi|s5I^39Li22Ps}aO9Nv@YkM6x&n|g>Y$pnvB^$(j!|n8A&7PI@iKzyhZP^M+D;EVzmz;Wb
zuo(U+bTIH|Ng(%Jz>mM#yb>XQI&$3fQ>(0`*gGzoKGwH6+Ax~s0S<88>3kn`A5
zE@hUo#@AA!i}4F~0iS40G<`lLFQMZW@szB4Y*SY4BX>&*_hMBGE6NszNp$5+{b?xNId_HoSmO
zvBFL-;9CgW&GF!H%k_Jh4m*v_SQHlK8IaOe;{{`40Ass&?^%ojn~IGu$%8_-R%(qR
zcjUbdB(KUg8(;8g#OmW9)H~!??ctfko>Fo+>sXC%$AhSCfR^Rai77GYKmkjSX)=eQNm#DyN--U|bYaMWxu
ze0fp3IISnn&y#(pufGblN;Ux2>FY1k2e~gl`HqRc?eY^&-|zC1pP5SO;PMkzcy@!8
zn4A9slZB>|gB#R(NJls6r6EX_a
zdIRrW-a6deZVXE$pv9#vPuO|3u|?qMtzRRWh)xhpgREXS3rI4_3*k1)kv=E0n(CjG
zM(U$*vCdYy?st8CJWK~i9GIvxYe^DsrF{_`z1M17c|s)KDJkqSS?cKXkffjpoamtv
z<~$|+JfHm)LIU7u?{raq3IySWK|f9(*R{_iP5jaMu_d*iAIl5BcW5
zt((}_*o%t&fJnF!Y!W1ap_sP{-0((gKCoq=D!yO^4cA8}$KdieIDUghmKuL}k=gQK
z;pO$6aN*IK3m5hU3%B6^uEhU6AOE)*4t~YImm?W^S_ikL(VJRxxZbR_rWR6#jOA$6
zfr2*I7!6k75+K8#PKBrb{(iy9`h@~0Y`Oobr;aCXe6vsp9Dv^!!0#>M;Y#uFeDQz^
z63U4YF;zWu+)BU_SD_{wlMnF5e+P|fP>)ia>Z~btnw2?VaAIpXm^d8imsXdEmz+|SLoncsbEftp5U}Y!A*{wy3K6Q&ur6?RnHpUKn`o?m^cx6Uy+>>^(hoR4VwG-
zg)YW@-;u_k)&;ydh7U{=27G>D56V9ClR$xiEo(jIGsYIdm`^svd!8r22R!L=>NnB1
zO#*THev?4wno8+l5{MP9x1~-cxwG?0pxAMuKcf#}`w-3aGM8Zz2;C@i5-4UeH3{@1
zV7hygK*OjrzV^k$L6bl~;jN2t?MvzYKaf2E1k)U&JSG-qRG_we9*73jY%UCN0?o$&
zBzV?X9dbhuc5`4mO`!Ctqd0mKz)kiogb%f`iBUMyrUfyZ^)WeH1Y^Oma2%s?`+L^c
zk$2BSTRI-Y!tOOK9T2s#72QpZ1DVCO%`-bulu{A1S$o`W4>4*+(g)94;o
zV&gsw*trRcWMJoJd?K(zPg!7xv0DV}oVG1&;XMoxVcnX_k9E?gmMAMp{VL5&sKeaW
z7ALig;|`TvN$^VRHGKj0krQ>i!zKfI9H4$Jnt%PJv>O5*Z?_sv9^mm-NufP48>?V?
z4XL$0K<)O9v&+ncJr2}9F#r%l20$T+x4K{-1hFKY$=ZcKVEDk&%l$27*P+P43H#u6
z)xw~9;yl7W)K_{XzGC3XT8T#(S9x*BznSRUa0sXGheLj9Dy0J)!V1@$Ij4r)**Ol0
z{V2K*7@j2@0$Y`-Ez`Uz6Nbb*reMgMfamVPkVD@Y!w@D7>ZR^L!Q@$sdI_`$7r}}X
zE*%Ny4z`y^Ct*2>1z2pWZ4bxAf)CvP%5Vcl98!jW|AQ5ByhRJPH7kv8e*m)_3u8xG
zh$sXX)8)kUqQ0OEm(apSk)61HB%#Q1K{qIkPmT@2LKYtGE?f0Q!A><{JFXkRy@No#
z5w<29;{aF!EE_hWKqnAxgYT(Qm_z)dia}RVEw|!CoMFLrxY~Fn+=<`TslHe;8`Z)-
z7WN6g3aF1!ixtF!auX_c>V>fU)hJKVwT2L+ay?W$t`2bxd%bTzdJoV7{9{vqv_3e)
zI)TNMSeUS$^0ZzIdXY_h6o8ija6AtG_yEUU($P}`(92mhE@+jaPt1wOzib7h6n#c{
z*Y4R^hW%Z*kx$-Er@oS+A#Ah^3QKn3YI~1U)ch8eCCJx&-f(AZoR5CBcbdE3rQRu{
zsqcxVi{KwEeeq>2+=7P7U34w)5I$-x9k@3vZ7FTWN@y|Q4Yg(?%Yzs7EZn{@SRUYR
zLl`(s_4O=lRO<_u13?%u(eE)_tX@tRX+vtQ0?&Ar>DF2We&Q2(VPnEUD-M+pvR6Wy#}OM^<%7$9I7(L;)xZY-xe;1vV*=)VhmIF|NDF
z)PG-rrcumLp-JD4ExBr}@D9us-YNzQ@6crFB|h}^z?)iyeoMoJSNJSnO5=qDZoZV3
zZNQLme3J4gMl6l7{iQC{c(-xQ-Uv0R_6*rzR;*85j30pPc7gELMG7RmpMJeC8U
z&lhfYh&km8R`(J|9Iwbhm9GFJDsin|J~Ria)f+9QtZo3c&mav%Bzls+rEtk*ew%~I
zPqUJL4Ov~#Nx?*ymjf7TOib|+2o9gvNkalFiD6!OxKVFH@Sq%A^#Qt}h5=qeM4~>T
z6OJ`g08ChCgu?~Ufd7cPj)jS2PCWnyzxV$^0Iq-SI%Rp#B7Gx
zlV$&iFTII5P-)|^Af|smB>NLh^8O|>Ai1z%e
zZpsC+$_ZLxW0pd)z@po*GW{(W8aoXfs4mp&SbpzZ{y}
z#(tzXSnaRz&Z2{~chUo>+xvRLu=QR&&l25Zl0v&aTT66Yil%$(Hgs9S)T$=JiR4{P
zIJ(oLiL@kWx8!eK>^~!y*M)6e`}(or19iGkY(C<#L_eVHGrWK|=iO<1XRX8@^g-_3
zWQUsQ+ZOOReZK{~z*I^H3wW$>y|MJv&|!u)fZLz8%zB`fPxSkVx4OZdZK~you!K@p
zdBjfXneY;Nywm-3b&-j_O;?=0rmMNs>WTXBUwS<*GnLbUwpj7Sv}I_VjoQ-kiP{~g
zztw9wZmOkCTall(UTmUo(-x=itF2d?%IQE`toTCO+P@OYUelzdxs)!n!++^od55Vs
zHm%(4rL5oUc|z`qsDmPBohWLSU!q!$q}*8{@_I-T%kU}4X(326jz-RAZ
z4PTu^gJN1`IM|dgBXW2KQ2>GyBO@|)^2x}$Y&N1_gW{kw{crr^wFtfopfs7(&pD^F
zvIf4-d(r?h2}k(E%N)oGgHmq%FkCk5>hxa&ze-pm-ar(*7(!`=TVfF$cZfqk4+QV<
zWk#5%!E}iE#noqU6bJ{#JBeD25W;;RBfeq>`<7vik1eMp_IAqQ0ACl9zop60sBD2l
zFzVdNe}Tq~OU}m;5#yo|OESztdhO{v)4?U8NxrA^G)Go-GRb$z`D~zV7YJVz;x$Uu;9IF;PMOX@8xke5A9|7H{6${l$f`;;S__#ymfD6PyN6W4%u-8j
zOd?s6cQW-tSk^A?Y*L80fwBwqpw&hW)mA$jx?tao_eJ$O6oTf$7pRY-tkwnUEfEaG
z;z?mzqn1H{6cQ*lqGKi=R~K(bR~w{el_s8tC~k+^s|sys=5{)(B*5oCx(
znqmxRB(|`}Bc>4B48^6zkH-|kL)+WmGSVr;cplDpNmFXi9o;8JPQ-si|#
zq<#4S(6$SNx7xhcTB~i{iT^nV*GdI*O7sA+6CcBHMcb{vl+6$I-`~j3!sCvtMP&TV
z0y4Jlum8D&>6C~~-Gj7re_`u{ztLg$Yb>jxL!ki(5U-~vvZ=!5#wP`y4HLk5~&WticLYDh<2!Jr0LqcOl&
zf+mc@Pte)im<$);UWItr9+Vh4?9TPv5E@5GvS8S-fCcbf1${xIyaV1O&dE~uAs|gW
z(+kE|STg%uFQjzdFx+{v6=oV>qXXZ@sc&YWhC0!oC+5g`m!5blJ%rlw`S;ofsrF8c
z_v%Lx5o52;lAOKz98{&~d)N=1&r=n^oS^
zyoHDudm5Hhyr=n)gHNT6xZjbrNE`SOplufk?`e3w^Y=7gc5tm!FsDoteTu*xdjBJv
z3c?-#mY<1lIkFa!@^=eJ+1k_m#=&$-$flk~TD!5Qk*OEkdm7DEgObhDrH-8R})zB$6O1K$HukhWY}|Z
zS(@)`+LN+&ZD-R1IjYVV#6N&?bu5T0n^0c4A}c5(p3yM|V$gvVd>53MA>zBA=qDVa
zUQt#_;0TEe-5a5H6K-PT-c1++fB9^}U-TH^gc;JJWTJ4<_
zGNIZhaxlv+{JSWL{1%?rJ%y|oI(cY56B%{>e(T_`KqrzcI9IRzD+fQ&Kadgp!ktfS
zH$k~}*$BkGDz1O=Qy1-V@3jLv?CQAcdm*cb>MvwLdvcf6W#eVI7F$H;)ZpH0Ik_#b
zWaxCu71%bOX+&j-QN8v~uk;x?D$Pgk%N$ufOfR+J>MWq0%iacv3Gfmll#r>XcP3&f
zn|6l;pn*gl`~XFtL$GLgyn#f+^YRTl_TXEwL{OdARxADtAOY3MQVQps9~Rs*E=$4P+0A&xsHuT+?Eua
zewm2Wrdxqn*aLb~e~>G>8YKaJ9fVim*#)rXN@Qd(^$by$9ua*O>)9K9hF4cKc)C-l
zwuG|6`v7O{bWdq3{1%%}#hUpjoEaewxCY;*Xs}Nh-f4$^$ulZA_L0A(P^g*s1{C8u
z3xR{5$B`pxJ@Azw)LF5Z^YxJ(*Sn}DF3pSZdpwl_;*uvOVPRbc3^t{46elFB+%8TF
ztmwy{R@58)Fo%?RPmfa0+0#EpS>1ztZP>%jL3=0VLnblreYs6yZ^-Il5{VHGveLm&
zsMo=tibp+TwrxY9PlB}dcy_*w^GpXntSRY@4tM7ha1Z6`Wdyn4o@i1;>u3Ln@4Od1
zgjBNu?kxg#+ZMQo=?v~|z$ZHNnx19`?wvj{TJPk1t(8f>_y6=IP--jwy$pZX#)n5I;j){p
zc*a~)B>_87;Plq5Sjo|;ts}KAR1qLXsHYDEC#BbIC0taf+5)e4?R&U9w
zU~TGk)@OiSyB)(uTrU^9}{M2#l0Gqn!E~eWSW2
z!q}GhA^9ZO#O)z30ZT{%CF`LAFEV_fB1|z_;U^>PpzQj|2tDMMMvf!To
z(mmi!1}3ar-^SR;dzSgTO!RGAgE@U|Yw#R3e4YK!Yw>`olnyoqv%<5xy?iPWO>u@w
zAX!lf{?aS+Wm9EryS2aIr;=}(=-X7n>HDeV$EH#`Pzfu%kV^L9J)%(`lqU7Te(Czy
z^KU#I`;UJ5IM_trrVmbE)5o4mL>=Hs=l@s}{SGw2iY=sxo*0rCl|jj(B6HaUx0`BZ)6HA`baS7H
zzD+lrzMpO$GL_PSZdl=kbTf~QmrP2TgGoXm?1!$5ubZl2Q^sR{%J{yCzD*gNzNU;l
zPZw2yC!POan&@|+23Bk#H9+i!7_ORBF_)4>MffkhGClA2?AYhg2f6!_qfGQ|%HZ@h
zWjOnilTD>`pb}PiA(b4Y&l;H2vaiS@G!wtjmGfLvwQQbpj-PVYndsY;!|7|v$#L%2
z3ryv7pdMCyA@v-bn8Y#Zhm9y{mPTkueWmNDWvZJ^M-zTJdYOs7O-G!*rX!~Vz0Ooh
z2O4697t#=(s)Dm>Ce6&HG@%s!OV`I=n`&ay$GiOW@t}#mO&^@TrjI>Y?Jykl)I{&{
zu!(*Lnqb8i(!@dfw5CZRJ#iMH74?;_n(vsZW>d|#{8aNZ6MdU%IDJhud&2~-s0uyn
zb@+p+j1JVpiY}%eeU{m%o;ZuB6SQPvt~z0Phu!B11rDYUazlX=O!RH);q-O&z
z%HH^_t7pJeMhEI)MHf=fQCXAzCPf`)$SkU9Ow+4KtYpQd0
zLKRaf9Vm|#UPyVzWUtGZ)OWZkyU?FGQCHv%rmEW%IOV6n*O=(r6v*jo3e17@?l6_p
zfeKmig;aRBY5B~gyo2yzU!qhw1)ViXA-M
z6c>+-2L%t7Q8Iasd0n#+VgTR*B8dBAHEafxO+0v&
z*8iva1H7rRJ`T6k4~1|~Vz?u$;Q5y2;F8ISDY$3=&Xj9~aL&keGA68x6lLQVodwl|
z@UAoPkJq87FPx401(Klwq=IFf*I79h^-?s0Aw7sfUC{;;5gR2gM!x2A-|5=bpsTfI
zd+)13QGyWj!i*?+0FOpmbd=WnH%A=eQ1>+~g}i$37~fnmL_}b;oW6gPB^d(bybeQs
zk%LQA8b1tmrz2~Dz`E!L6o7L7W?CRTnobHNb!?|hF>V2osRKE0qmywFN)j@tt^GnvTLt-+--w)2hk;P(8lt*
zbIABTC6>6IBdFvLKAMk>-s>|kcr4G);NR~MucyIZOVN-)X=JosW~XAyibJ%`
zBwYB+wip;q9s(A(jn^9pFz~cj76pmNE-J^mWw?bauxHN?*tzusBgx9>7A(o>
z7IR51q6g!@q`E1>`$z|;ifbI^$XdiTjsn_tp>WrbLP@!XOfkBKOx@6J3z70{cbzo2
z81n7sVt?qai#>+|rSv{U03<->m2juk$&3!KB;ur<4_a0j}Ch!`D+B{?04t{LXr
zBn(#$4?DP2oab6c)*{Xm0&TlMxbsMXq?|{l7@bF^4xsb+Xg_ui?@z(_v0OjnzsMnG
z&;I2)3QS9!Y7R>${D4x7y2sJ!L~Um{+C)F#dzTPY1w(akjRqY~5y!VIJj0S
zm{X!KQOHjIRF>+rcha}0BmZW82L9QRwTOhjT|mOtQ;2@)U^*pWu;x@VC+*zW%*oXC
zS9I62rKZ~5rVNcFa_!ehPUjG%$Eb6R#f@gQk{8o{q#11{MW`z8sl`tzc5;y8?(YI7
zKZb}H8%mZ`w4q$);8HR3C625`-1u~$ovWebwa(vAUh3dlsbEftYKDinM0T!P32ET
zD0e(zE#JUF@~}h;hm&ojU6SlLppn`zUDwrzm*3SY{0h9~!2*_P*@C_WmxL|&{{=AH
z(S*NOj&5iSRu=U2EZ8`Se-~UZdC@q3e?bEtHcs+47ff!Pq=bvcFMtOi2`TV`{RBev
z-9?Qs97n=~VFmv5EPxkN^t(czv(n((#>6Nwu%S^N-v&>{sr5K=o%?D0LTa8G>w6q>
zx3^6k)xM307#nMrMbRth8qjAV+@
z-$m*c+zZ&5!9H>0Te-iCE(khzQZVDkJC&7MDU)0YWk{_v|mHkS4`
zI}_TI!pnOjG!MUK^-hO3pyPNnt9`f`Bc7t#guk?5c?+j4%8gcSc$970NG$m|cXRxg
zgJHY-@%HE^M8w!0u_SkUWMAjl`-66ftF%XZII$WQ=paZ1pXU0ErScRtP82biUqH8WG!OBgFxFZ5N^RzASnx$DMkyHsYhlgIkw!a9AL3X
z#m{0-a|q4TVy}|RW^{uE-AkJ|!I_#~oDPMBwQ{iRLcY=lSJZ0jZ+dhhU8!U;^mq@E
z0FZ)%xVI$$`6@?6?b_w${t6;uG7jR!jpK&v9P7UAJiM*;b^$}Hq6!%
z(966QxqA}VpP8IZ-44dxO?@TBPY(BWhY0M}#U1W3B4TtnmgIIgl#m#*&7mJUpFeT%
zsW{w^99fGv+|PivT_oJ$q)1W@CsT|LCsVJUS-X+aZO?E);Fwq^KgWF3p+Zl`9HO0h
z@kj$jix-JBV0K1;G#PN^a?PM5`YsB>f;B-1dtGF5#2gy}7d&8x{&rjA?sps!F}fd1
za=M>m!Td}Imx}Y9=Ez#a`OXH~c7br`lLAROpG+}2pG@5}6BZJ?+>DS1M??Po9Ie-(
zE>B0hAl`AQdz;wRCp*DbwcG+=InpR&kJt<GaR05LCh~m2=1;OZ`N8c&Vrp3tsO9n&wQk5>R{CE
zvcfOof)jr6kfVlnGvI#lQ6ggW3zk&WFCKGnsrbdCj;uxe;-7%FT_D^qq(D-BAybTg
zAydyY`$b->h~1`;NH*NhuB8Y?5I6>=N};0?NrusPhQ4dE`N9o5=!
zHK6lL@oo-Ira!n~3UaY<9NxjeYzCZFO*xHAUB>;)+_#KrQUNra+V4YMz;knnh|$Sd
zlGDl92#T|98crSO;8St4UPsmsl5#VdVstZ^y0PoVBNgB7K5cMDT9f^D1>oAjn#|0y*qmzOG(+y)sR&Goo?4$c}0{*W=bK*gL
zC<=$+%=ktbMqP_wj(ulf3wHha~ML%e%@!B4YGnmgM$g*TwADIrvn(xa!DS#EZv(wp}E=vy>u9d9h3}
zda+EsX*V%CX)f*Eg(GM&P)dF+#s-H`c(xcT?Pjh*WdCC?)VC!(jy}i?wcw7B}HunPU$dza$5b7sz=($|}n0z9dK9kHq@|
z`CE#RI)O_a)`C^%_a$8nSzTu!DEB2@ze0t)jc@{bv=Ht{qS+ikz-4|~hQP!dZR0I*n}`#%4&B9euZ;h!_{tb
z;>N4JlaeI^zCH)D+<TdAXY3*ErY!
zucq5@*zlZl#Ou!)CW`uvKYx@j^4fCI5?8hM8|N0|YY+2#4P;MzKkK
zFyju96=St=i0G*ei;KZ%M>M~gjBPyRKSYSVxV3CXuR1eLX$lVY$qVt;dZF0?y8PiX
zL}(QBm(ruD>s|zwruwIT5?7w<%ubRNX6Is4y@u)A%npLBB~P0P*!xGC!_%HHkE%eEMpuyVbb
zv61)kvJn$~+mV-?zINoL^XT7}sgw>5ykv!E_lo&c0x@g0`{Z0_9NlWFjO`TCTl`e=
z788A&N;rK#mHf4-lnzwF3NNIR!wj7uZv!+(hZ}>G&XRI~yC>f2PX8HGEp58`q@S+7
zYNBt`6{oN1D#yXg-!YZbfwoxj#k6HWCq`{)`J}e=x4O1|YpSJ9Tfg$t*4zgTU4Ttn
zoW8HN4l|Y0fwoxjg|t=tI=VhnWo$|*(FeKj4OniXZ&M1VuPMdZ16^z?r300)!V9US
zE7#GLP4%&9~hNx+!uU-6N)I*p%^kKV^K=MBkq1%5e52^G&66pb}PiA(eFVI=a(M)v_t)RQe!yN59fU
z-=-W+UsFyFto%GvIUT5n6<4?+UbmVlPn@pv2pdnUx
zAq^G0j_z(#O>Fvji=RH;Z=!G02dA&;!*U(n$4&G*&;%>CkS4l)9o^%ms@YWYRX^1{
zVWMwS4X3ZE#&I3pFHB{0pdMCqG4;gTV$Ktnw3Q-le#UDv&3=F92?gfT2f2HjXPW5S
z)WhlP>Jc@Cc_zbkbSIh0=s-QJ=tAn5?HkRWW2(B%yO#T@Z>@>GO?{lcroJ3t;rXU=
zI#3}izK{xM_C~X&siHQ8)%_IqQWJff!Z>|jg}v5PP6rBO#TQZ-oVA%;v(nnb9I>SL
znrdUy$~*nE@(~k#n^rh|U#)!BR89w4Va0oD#hsnsXcjO1MrXpz@hshFb{LBp>em*6
z+w&UXNTohJ9Zl^G9U;VsMDP~^P+}fa7n%jYbN4PZ`zfl7UuedpLAPlwK*8j>&}?uc
zgkxl1Xoe@iD?1SAdb6RNH=E4_X}Qu6{T?a~g8nW3@rZGpze~aeNGHGMtWFLop@wf>
zGZJVEVt5EZ;&2;?JK+a)YzrHGL8H6_-ZaX%WvmW+$|y_?zG6WgVWqDJE`(7ofnlHP
zg_O=4u1`#D9iJQ<3L694>!Xun;UX+r5Mi5505I*o492#w@5jg%=HVY7TZrc37sp<@
zHyDypJC}oYw52W-(dNcv*cUXb^&N7n&Iq`P$cNEBxYxbe3dyP5B~JVYfv$1v*_HjxoFT0@hF{X*82d@`0rMC6Mw
z7`^T*9d%cOGJge)iSZh~=MoW+arzoQmShNN_PT~|i-Swl5Wj}+GDlW5O0~V$#MHFM
zZDh{}+IE5P4JlF}sSPPI#TdUTQ~Ny)Kq|HE`z1IVma4X4*{BG6{VIHMu0zPE4}KW!
z*_73O3EwrHU&5!Ih$s(-f)-QhjChQ}_mqYt&qaN&cU01D2|Q@}Rw80_4VL6~4f_GM
z?{;vhxW+piSyk7F#vrqYYupRj?E>MhAqA3h4Vhwe4VfBW8Rou9E0=Y|zSDKm;3~+s
zpL4z1p(an~+FdXF`;McUc5CA9^(`V|bT5|Vbgvv2{{70qsp4Y4aAYmwV!r{}cA;<=
zlR`Yjx5RP
zj?UA6&v)>tIOBPatVNvh0-$Xd33o;*l9V&b6r(fB)XEj9!(I^gciD)fF|=o=JaAjA
zp`Y8H=uoJq+g_}@ReWSd4vA}@ngHg3=^Wq}iMLYfc)AoLwRUVM8w!gv81An)YT3y6%%{DBWn>C+6uJo0^yAmuXX-LYSO{AQo)=O)fyysBXv`L
z243#ST13LHDj;ENBXyU9>6C!Mnp2IGv~y!4B~zc3<5o;+rEcG257_k#|8AHrRp+*I
zeFyCo7Ub7nt;kV(kM`>6Yb@)d^~P9vf|^~hl&otkA92Xt-k9*#_47o;*t)VLck61u
zbnE{)xKw=O-yB(s`2G_>+b$5^x=Mkh98{(l9aN+~eU0VQ*I1@5tA#Uf!2bN2)z3P-
z0UgJqS)KW7ERXtxeJEmgKi(c4PDG6D5leEnNA^{~#SSi&_UPG;tVPrWhSgrq1x~lCcxca6#ahSSLTn{GG!pJsorRy~c8_!&dFK
z#@+8?B4TtumgICl$C_E$!KLDS*Eq5kalT=oZ5If4J}Hot^T`yW^U2g1xo0wVxfvl3
zj)wgEIoc|Rx;!0iceuv#4o8*j7Q|iZb|PYQDV9{!rS5ZZskqep99fIF)CYjJT_D`0
zq(D+GB~y$pB~yJbql~@9_e*dDEY;5u-rx|jrz7l!*I53$qlR`f;C}H05i$A&ODgIY
z|Ks3N@r&O%vKH}+KLTyLK)7E>fu#IGrWpM~rWU+?GIo=KgurW%CqJ+Gu0sW$Uh@>b
zId9pg?Bg4|F>>!5ARixcxupH9QL_tNWw^c~c$_IF!Go2-z70e{TnOSaoqm
z0c3TZQJ|a#vQE1>4|cM(%5Z-STy!a~qDtPKhv!SMJ2e7+Z(@8hhzRfMGF2&zc9#i*
z9iENy@;JhyH##GSGK9rYR=XYYE9>%FjCMVp2vZ$o_kXvhCc-$Hn=I#w9L#dd*^H8K
zoNl35PA6B^jXJm~(CQhktV^F*!P~v6gAH&eI_MyD=Mz_Sq42ugHi$dwL^%3jxz>b>
zY@{=ges9acBG>QhAghOdPiMzZHCHtnaMldmSvNUe9vTe;IDCY5Ac{r+Pojx$%;a(P
zx5J@Si(WcSVYZZE)1MOU0>pO`F
zKpVymRHmMkPpDEB?VKM#!-i$34V$$UB6GjTAvo-1c*BOai;#)6CpRcWMI;YT63NHBIEdj_%~<1YBoZ9-Wx#
zAFemT{svtr+0W02lLR}zi>|#eNvnh$;)z{&vz$D!a1nFy>K}xEqd)QL2v1htNYka}
zYTl=Hqx8RqZ7)foJvLCSkA(wGI4%y3D_c6SiAiYV)Bqfi*Bt2YACNK|K$#72nN3VB
z#|*6o;v9lA`6QdVgROmpQ9`^8)b1hMSLCEb{rp=!4cd(Og)Y5gq3+3}s;rlK9c}nP
zJ=-dA@6{2MUB8N~3x`#nZs5Yo_Nk1IymyhUG|{&mR>|r69#;80Q#l_LbZV`=I
zacAd;RmKhy9S#i7(qWZ{BpZ+E%#$i(22&?h{t;T=?wwS*6ZOSUs$`;|QxX3RgC%HLE|$~huCh&TW?fqYzMYhqh@)tyKkbcsF#dK3;~C
z7x9BeeIjhMrh@W#MUKRX!55qg*I=@%FhAmE{fQgjESP`d#yfTs_GNn)-GsK=8@&Sm
zcnr_x&wj5!M)gw8Cm7YtA6a+@8upOhcdE_0G9BiNlpC86yvx>
zrXFKaw^U%;mJ56vsj0r5-Nj)mjwcVk-yuAdGv7b-Udn1ed2o)!G$4yIE=2AfW`R80JkVr;2o>e9sNJ$Zas
zYNOrB*U(O3>3%KS|B&z6yL7E(vo@AuapOHXsPY*d1PVE4bZ(=pU0d9^Er&ITDNM-f
zLNf}0U%w&^#Y-(0JP#d9tjQHgN<=rM5n_IUj
zgDJifMdksZd!u`D=tE2cQdYYu^7W0pM&r4@@tGXVa^v|FO2Pq!72}ypqc}EQlb+7T
zc86t<+M}lX8xDR7w8x^rTpiy(IrxAkmJrof-TB0vFUqgWEkv#*jz8sKk*oNBAghOp
z&t;Pqa)o0hfw^%wUU6I4;z#YrV}G{DAx1u8Sd%sleWU~S+yqofWr)sSd#Bsak^f)^
zg4i{3xObQ%tB0wj);W#>+PUoPU}7Sx7nZ4u{X{Ee()Roi8aymhZSbtE6Zyaa4nd;K
zd4q=r=H&y{(#5)mm^|=W_Yl)q(%ud09^ZkU+P3b2>1^F&3o3l52mVJ-)^!hioo?D2
zWqcZu+|g5tyJN6~`N`?T
zQgkM~Z_k&j0E=-IU@=<-SUgs*Opb<7?gE%KJMrpiC7-&&67YQG>dBC=boDg0oITav
z>H*Bis;9tp9vk6?mHowf2=oJZO-1z(@uGdAk61ZUFV>G7>Uq?-P#0@(HX)V?~GCC$TD=1M`vE
zQi}XZ6`gLM$nq_g?@jVZEMdiLwnu#zd}KLPe!pYkN6$SCdfijIIp^L@Vu1-SWhn<6
zr&?8*16USJl!vb?Zwmul3Xkz3OxE^rlJcq+I>LECIrSNq&S-LXaiumgGTDSVg~jE{
zcDQE;XBS|q7gpTInmsGw>YPSxTeTIGRxS#bE;;q=U@`nzx-^Jcs)XCaQJflXN}&4W
zVK_GDX=cuEkjBZp+B!0VR($?0Fb>6sG&{L}a~13Zl(!9Tp+Qp_X@oG4sE@RElpEpl
zV5&YD48v%n5mvw+8nvOxRv6S;IH5lP76d+08=2~X7n9?au)!u%!^T(>Xa8|Xa?$$B
zf{RwIUp2U5ZLsmO3)Ze#8Nh$5)^A!BTn_3-%UKqbn>`bgL$E8l8p8b46n(fF`Pjty
z2v*mDK22jugLx8i9$U^knC0B#YdO)|@rz?Gotvf4UnTV!tF0ntyQ|=NAmefi6}h7}
zI*N0Glg)5sa@?yxp;(|46*KEELZ%A9cX7l=0n>GcjHw*?Vf{iN%H?LWF
z+1eF@U=M>EH*8wf9|W5~*I+F@xvT|St}*Bwv7sv0M&l;rDOvZ}rtW7p^|zhc)P7ku
zb@P?b2=LkCYI%DIjlpnO+YXv9!(!kBt@KG>568nsc{Bi&F$y<*t*s4*PlQbHd2lyP6Wm}@7)$z$jZ94h_<^)W67v~VV61YkW
zG$RSpF9ZKNoL2EO(t|!xv}_0IR@fQJd$@h%1=M3SrdHO+D>XzYY*gDmO(G`~p6k!}
ztU7OfYr2fAUas&5J^9OL6Xs=dhXa=CmxP4~Q2!P2BKj#>69N6Ni+AmwaOZG1LD)?g
zjrvMzluYC|33JSbI6NSv`Z&nxzvWlElbn7mMR1(m7KB(_*>q9O`K)blQ>y;D`WtQh
zCX9NQU$(gV&@Q!RfN>Tj%9aJ1^0^Jz>DQ5B$%_(eE=jimux`88MqZ`hxJf
zkyg0@lT_2~lee-lRWljvCiTF_UUT82T4kCloEe)FTUT;09sLXpFGp<7v9erKTQD8H
z0_s_v7rhex5G&~ak3v($bVIQeKZlZVDC-Q+IqQNl^kU0{)_M&K4_4*`Jl~bb4+Ww0BOgk
zZ()%MOW`XPs)5aD^fBZ$fAx{`Y2I)~h#BjM`7D(j$Q2;a9|X-$)?7zKmA1}Ci;t6#Y6_iTyW@CG?F54=uNq;O!V#uhoMI-uFD_@S;2M_K@d|5^$f4)65jP7=wCP|qWPZz5cGX4q8JGJA&M~(6YB?p
zzGtAIcHg?aXdvk4@TortdK|uDAP8-s00`RkEgzXI8cH7gv**Lu_|PX`hfh-YXUR%j
z5zK%-Fk@XF;k|4U_4t1%TeYYMnd*)9#Xq^1(GbnO4y%x?O)jh>TwFSSXISTWV3}c^
z0G|l!&{G!HVH_91I{RN(AA^139OW#sk6YBdnfPYs?BW}Rebx&
zifqo1U$u9&aAp|OTr6wqk7;5lMHeBN1f~(X15BgYtn_3F@34GUOG=r=NG{Y3a#<^U=yB^J4&pDYvH1kRVlF8#^)2+hDCpa
zrT0ef_P|PAAQ4GbLWT2onH@dxOb27`|
zQ-2h56nw={4B9{e6tinvJTg}_k~}zO73AYM=4gCO;+Q@gj@ib0(d
zH(JXX5eDwYGLNHkvU!-e7CIzREeA(Pe9h_W+^u0AMz+8Dhql8v|`O)kcRhswF8HNVqv*AlWYKALhb9b3ZRI&^&x13`9>^7>IFP
z1OxTNaedPsF=Ux&XUD9f9ff)4Levo;(n1jDcqEW(aZ`mj^W|6VT`Zd!#x?!2qW-uh
z7E-hr$s}-%P#xeJ)n28`6PP*IUVaWRW8z}=zzkMW@0=7c6SI~AGe^RAT?RAAiU2cA
zAJi)x%_ZyvGe;*Pi&u%b{@kI%*Ycu7ztYaAZH3F%kSbhBYmO
zH);k7YA>OyRKpuP;8TCRaTR>U@CK@h;SHsJXf!;!cNexdWG|@1JSgH8$j4E{)%ci1
z5sPdyC=kCNjwYv1Jid^PNc09QyEl3rXF-^r8#f$f;$QFnRf|w?gYYQ84YJ+SKg@+2
z-UAGX(Zr{AwDU;YVQW}nPD99Raseo91#mD`U;Xs;0U2Uz!6FNmCXQQiSO8X$bltH
zoXj4Uz>4Y}kAfv))>2sFqwrmqu>`UrumsZy^$j2A5_V#V8Q-O}*B5k`)S*UKb}1c*
zMHHJDIT%P311kF)D5%|%ZZ8^8IT}9o2P%I86*HiMHc((h16ytF}hD@_{pqPIhlBhV`j
zKt#5^`iHr&%o<>sVVO(tiLeYkWnme{aS<$YARPCt?mKeCwCK4rk<9EaVJ4Vz0hue&
zFp2<~;oO#`PKI17znbNk7L#~p7{@eZUHx%PET`y&NG5?}g!V9|MX#A`0SLz2XlEe@
zj4?4XdoTv;sdq~XjEPxG!ItW10IVWP+Is-7~Z?TAC
zFy?*~W1;z$_ZujvJ(6xO8jSfkeCiKl-VR?e7=t!Y0LJXv4uQ-SjU*3>`A5jdQNTU;
zn4FO*WzEPmcu$%HG5J4`Em-u=SaNUlIA=f@wtGJ2DiilQ6j3ck!7##|0mI04SN|{<
zhWRNlz%b0u@QE-CJ!N4S#&Ho0qaBLccI+wA4pq%MM`m^d$u*W-=;ePW^JwDMg1NnFMwbx&!Q@*{t+?LM{vJ4CFvACN^dd
zxnM2zo=8D1F>5L0^1tw1myrvyB9IGH2z3R2MjxVf-Eogo@x`3g31#ZgB;R7r^NHG
zP{n8MOyocnCRSz-RbWl^E=WNYF>5JQaTk2oWmJKz2vot8LY>4tT*A)zkm9J~$Gj-f
zs&|4aeuXp~sNy$R(?U}gzcf%#yANHZ8mjm+eCm%XegI!FRDo);p^9DI@{rM>Ci5VR
zXM9Qa%0GlpQplp;hAfnm>&-TtKKasNF!z~g*48G@4AdMkQIS6m|CdQSji>qL>lKM
zf>G^pYO&eUASidh>Z>_BW;Ak!2w3f)a6PE?b}WY>7SG|CZlG^MsTM*tw;3p?otADs
z8mhSmKJ`a6H^Em7)u2f*RO2ZFG-4hcyX!j)GGnxxJlN*}$j1@G&G?v{RXI^cI0ub#
ztqC_F;H4CJi!@!3fj1?^*HYxmEDa`l2utjZKE?|cHtt@DxxmD=4p&r@QE-lMZ@@XS
zE!IEGg>xPQ1{luy8a@%up{FdI!#FO2a}L-v5e~!UPJ9yO*$$UiGiRckso9-D(RgwJ
zoA05HivXLSB7t1+Sp_yfmS44ZxpZb2)BHhJ)gRNuVv2r`WD=N0C=W1=Znx6;3C`^M
zh)qSM9B{_O$Lzrwtft-{DR3rcEd^(ufbY5tXOI;EXP8E)ANV0EhZ=Rqa?Fg!!}cX~
ztb;YKW@6S-Xyz60U6;`evLet7(+TwtH**O)CufQ;
z13k)%5)HZzSMmjyd=qIfJdzn)@@=eXp$U_37$~Schpti$aQqNH^#>eZg0C3hKsDKx
zfp&4bOg4jx%!4U@3;B3|{0KfKF~w4t?`vA`|JmNU4&qeta@fR5P$!?trX||r%fL-<
z^e4`gFi7_-$xWsj=|DlX69r)iKLdmzTSWcCTnOU`;G7|hBk_q420djV490O0gmH-M
zeAaB>7^B}lQy!Jla
zs>rCKL$i~P%1i<%C8_8Y7=j8UyTj;2AXH8^RnLT%&@5hK_(09d5pnbkmi_rTv+vKc
z8>KO8mqMcA_1;?nWHDpAT4Ml-|!lMED$-YScFcy0p8nkB(5W>_1pn_O`9G}cMUZ@S)*WAo{9^<>Cjx_TO0wVrBk
z^#BHOs;7XKx4?~)`-=__I#!yzIYhi@r*G4xl{rD0w+)V5v6g>^%Ib}Nf`4+sEM)m$
z_~J+M3*!3Pj_=7FZXd_QcupXNErdr^n{FS=GQ`r?({<1sGuFPwA2d^m{S#BmEA`=K
zt5F-@7Su5@~=4i>|orAvdDrAoLx9Ia1;%BuO3hvC>{_xndO*?sU&
zZj*%_5VK+qif3q+asTEjSOlnR8yqo(#xc?e!=PCoX~8AP;qqXrJ{b&`$3fc_uz*Hw
zXtEUswN_9buM9xY12{l!WU2>VOpfCqANQ4@y)@A}@yA8$FAFYOwSLv$inYPU%Pv^E
zW@P~Xty;fnRd6{d9IOVcu-xpKm>e3dHLDOyF*HRVu0}pKaXy08bd4}xS1&_JpM;#p
zwsI7+l_Py^B{~AXIQG)HS^E4{QlGKfD&kJ&D)<`6xZFZT?x>B9218*m*$hV}NBep}
z!NC=4HebBqvdzJY^;ZU0tQZ_zv3~QF=Ri(qG$0kcb(~aG8=DxdfyTg68s+iU6gC^{
zRt>Ja81k>UV9nY!o39MOMpm!cynfZDO~L97gTabmHm7rSQ
zjyuPO!`gPxd^s3~_FeP!a6D|3M}v*%&%?pm+Hg4D413C>b?C9sfG9iZyW`AaB_Y(yg%5JI)vJ$grR^Ojoql#xuauqUrW=W_;JrNla(qI5x*n
z&AyPceLg2q8i(^6&s$#~5BmZMm$nYq!;z61#IKFFcp7ZUgg$n-wY62JH|a^rd8|4@
z&Elt&KPfay7*F=tNL?Epkzch(W)`5vlBHR_coy=R8JZB)%}m$pKP7A8KkpbzA=-&#
z^m)hjKGG=IWQY8%b8xergB){?CO-5z$1^)LDiUT%pQPMR(&DMwJmnlr6*^!)^y{?!*@B>H;y#-u+z~iu!MQh
zE8!3EfH3b-fMu)`q-o({D1y!LI^t%JOe}2Fha#94%DunmGO!PI21Q@8I9M!Ms8sdE
zh-;Am>!0VbT#5c<$Y6n`=-p8F_FfZH)9rmHrWO;>f+c7nJJot(&GoXdAWd>0>v=F|4Fnh?2OafJ!yGMVpZnD|JX$pupscjplp{MNgU=T_`8gR6n9qJxI*#bv5
zBj>%*D|rQSuRP2moF=8j5{^DPCk9w-&OZ7?>QyQFjPkDCBTs5?iY`fgCFMawjXOaY
zN#v*c0h;EgfjY?TO(-|npuktr*OX#8cfSJn5{Qt!Dn-9by;G*PPe5!MlwjPnC|JBW
zSdYK>+@lKBOVRg~!rD$m`(a1DqF(^HS4AHM)*{_CvBv+8)%boQflxTrilGd_u
z3H)B=b8o1ZPy#*c(*Kf!OXTHujF-1>u4r!ge%&H!JY^w=4-0YSqYUdDt*MEyiSy0)Vj(Oz
zwKj}w#&-*i-lUDhxDRRXq;Sb|Had*VZY11u))JAdhES$nlV1u?-1ufLhbL~l!zc;J
zp~wPqsS~=F=P$`m-f(p?)YZ?l);L6*GA(OMAN@CL!SBssu#d5B6hVvw@J0`@tkXHD
zKFG2P#3mr6f^XhL3wnTWab+FW$*1t#KAI$Mk{68Cw})fApNQoTUO-E+WbdT?5nQQD
zS$)rPbO}ik=AD;ACR~nbHTnWH3haO24J_z3PRs$EB=X`+4*c;ti$LbR3}Ms#%Jr=CpbM~TAvBR4vJ6a#Vn^L^WFtjC_0%(
zvv_Pi@24nBKA*>=L-PdhK|#?>jAK6U!cAcdqI!7aL(pp6ABl1R)g5Be7^B}~EqbHh
z^2&&I%-O2%7QRk;_;sv@^n6XJ%M&&Sd^PR2svDw#@(G*$AS+DRaEmcd*eFQlNi@bi
z!65_{ss9SJ6HmONcsNo&mWUX~xGbp~W85#>LY81|r8egpGRPLk4uCoI{3rl-2F=^9J$UDT%?wPbmii
zMla04BKP!h$m-$gr}JKqcB0^r9D=xvzz+jT$HQ$9d%T^W0a`LSg*G*-pN+#i4gIBF
z&s%cTle_Fqj;yMSM3+M5>}jBh`H;FFOp%I7(APlrTrTo5Vj^pVFH=v-CsZkmcFqr=
zuf#I^%>5&?s5~+qCfrKGCKPdP;5Dppn%4B$m5<&pjY21pXP8#v;zASXh;-BL+Ud3uDms
zT*IOyV-u4ZoBtx&q^A^{v=1T0W+|G33(xWX46(0-mZ#GjO5%*#I8|)-uP@$g
zH}5BjbLf$XF>~!9-*Ky?>Dp5wGfqFft7P`J!NjIJ?=dpnIrt~H>Ef=E*)j>mOTatg
zJx5Q%{TUo=JPA3E?d1q&FNgWsOLQoH!FHC2hDFooQ*w6&w}_`?-D8`27PF}nI<+a>
zSz@%Qr+1c=s&i*~XURZ9i!-^i3SNvL
zEID*ZY?pQN-%t|EBbr1qi47(DNd*e7ls7sTuds8GV^fKV7k#bim~1N|{u28}4%D*q
z9NJRTz9NUHUi?C@-JMXoWLsffP2T!vUVKEzG=EG_8i;<;>ld5jJZlqZAI6>cR7|R
zkIHI@^<4+Z1wsJab--FmS{=Ie;yADc7z_#n)*^nXG
z!ujnwIN3lUg{R8VLSi$^ers3`DplxEqG!y(=4f*)qgJbZKY)P4@_zT$s<6M|>E(uQejKL-ZNDoF~6=QfRz|IV!
zrSL$@{+>aIk8XtH!*EOnZpm)K&UJ7u+O@u80^>AW5SKMDIRP=gmF57PeRBH1lG6r|
z#9}zZV65C~_D@tsSknw>cV!p&h~uWaLk=MGIxaJbM&q66=M=3r)VdH2y_LV53?dt)
z#-oibn3In-uzoqrXx70j*?4TQGryIi;Se7#Y4Y{LI%JJoX%JsmwsQ0ds2FeOpv@f+
zfw)PYUxdzx`8cA{mJVZR$=l)hg>EUgI;yI!{Y!zQ*8XLRaqVBG9%E6rRAAed3)(BB
zrp}aS!!K+BaIeQr4&kAk`CgBgQ&#(4kL84`gVIpFK1y3VU?I2Fn1rJr=&YRyIJ~O`
zXV<{!d>bC)RU2oWfjrwNu~jJtO#il{0(R|jbN&VqF`6?=a+>oTtg*o1?1$7EO(^`r
z!KY%-|LMr88g%p^WHuogjBREZQ(LM3Z^&*J2{&jdl9WNq6r(}Q)MtCBUW%&i^A(sc
zmgZ;hk2{2$GI*;Gi75ITb5P|WG1z}N`dkr3KbnIoj}Z`^r9>*7PVt=!yV|zmp;l8{
zu|+b3Wy?WSJpUAjW}lih-ib5!>m?*608n+GeF>OkMUgOb0>dFULN`#1$n*>|J;Nn1Fe*1AG9c$Fi*0px&2&AwtJMrKAv7GH5l#AH^aI(QY5kro{!VT9j(CekQm(P8g1=`@-!7bP?o`V6|W
zOiM{}Bens@qNyomwQSWgB>?fno&D$=BvQ5Lh5iTvZA}R@`!UNOhQ_kGlp&0onS228
z>L(dL+dVTe=KlK#)h~gql&5f0OOW-#(vnUZ|9J*W)8%+0)J@k_aJ(fi?6U%h(+iVD
ztQWQb`l5`wc-9gpEcsmwmWT^YD!#>3HGQzyNyT@N0LB^mJVD3@(*()+V7kQVgQcaC
zbD9duT!ZRiojA|w-x!i0^~lFTNeuLH-Y2T^VZS?`UujJ>YC7&$|JI!oEZ+0ZV0GCY
zsz#{GejC8PtvL_
zc9F~wXNna8tarNCf+^1oK$ccl)*&UrZP*f=Prj(6vzxg>tihl-Y{5kgPNsq<4}p+|
zPqJilK^p!Xfdyg+y+{`@1=VDk!{$MCR|>bwd)K31oJA|>6yQzmMRdtKYZ5CD8yIvA
zbAmzcg$C|
z+4&Sux3g6ZnYevILug+ym+>6w6d8z`pR~;<%8VU+)z*Qr5+v!OyAD*cE;V1G2~gUN
z*)Q=uuIxyjE*0q>qpe!dR?QBrZoRT4$`_Ww*AXLno=Qj?!i$XN^P
zm*s}Y1udpRXAb~QaUG?HykCE)As-}afJ%zRD^kGsGZ
zT!+cQ!wv@ykADN_|>qTI&jWCk14
zwTqm)wIx2LBlHs>sXd*g+1ok>4YWSE1+$i~r{+~iyeLlleHwCvlnN`Ov
zr0W6qo;pdN0D#I#l7tas{td)=)=4@*IZ4p5VMw9@(F{`e^g6MphL+dl^VnWr@;Pc&
z*(u&Rn)}sagM$=zb!$qj*>sTZgl0H@frj8a5TkyQbbg(9j|~~-DFc%)&@5}`%YcCo
zL^7~1xj&#+{R$i>f{Mf)?Br%z_=DY6J`Py0+U1ax8B>nZc!q4|YpU|}+3B7>plUWN=*b1vNFqY;~6AM48H5q$szS6cx%up&o-D2)e
zSwq+cYeA};#a*4W8%Yy;G-s|(W-W+%)X~jJ@yxk7e-C)~)XjM%090;{B#Llzo=+TS
z-JJcEo1>CO%Fbygr(?O6(d4bzR$uaFYEs!D-o=^w^&c&Zf=F*ni8Pz;&4-|wK=&Xoe<3Q3Z-qycYvK!Q{%Z!CBHoR}$8>Mr0IfOQn}--Qlza0aUr)I=NW3Uc`#lwM
zZJl(!F`g-O9ZYPqX9R9EZnKhA>1vcBdu7L}B^^kvMIBL-E#r-?3nu|#i+MK3YY6SlbGplAbh5Z(llCHc7ItXP
z9GkrzEbY9z
z5#9u_%@MqczdsGfLPhi|sD!*SsxNt?Kmr14oN;uzbieg(YU<9nJJkSfKq#hx_71*c
zN9c6|E3eile*r}$&|i2_095i9ls+g0_M)sZ`6;uaCD-9Ed<<~#`3qPs{e>UklUNQB
zPqX7Mti@F9>f~Ll%aC4YC({7BTm}<<0j~k|7i}?|yfq;XDAebOCYCTn7b2gAZS!O529Dme((oKaus=Bm{~VO_liE9-
z0bXm`vQE#KjN%7!#W<~_v5>`m$wnR#7_D{l3xLbR{3mMQM%;r2ZmWR}h`BhM<0lY}
zsj9j^gAV};*O>}9<36Q`v@ePEHim{EyGd(kh{^x^|Fix!wnf(8+oWuMRZE)m4ZH>q4e{*C
zfg$@=YS{mR33F-a`!9%jYQVlLh2-v7AxZASFJ!7;WkM`|{*O#|OA_%vvhS%({Y=W#
z1Kr9Lruuct)c;TQJNK!6AI)%aHdFmR4sH3SEMopU)u?Vw{)RPS68a7h6~qusPlr^$
zS^RAmH{%VRzoym)l32QlF}g!l{;1>$TA;o^a`y@)r{Q!e#Yv(M@?=
zUEP@bxTE(b2X|kZ-?!y}4NQYyLaBbIC(6_GIFr7eN#AZs-)>3YVtSmR>Zr~a3|G7<
zUuWHgB4Lp{`bZUEEqzKQ7Y6UNGA`b$Ww&qZyB$?BVKS)dr?xR-hI_K#c`F{4jO^vm>UoJmyVC;8e
zzpt3$u4wWzizdkl2nN^wj0mwk9Z1V*zoW#)>MTE20r`egex~)eB6?RupC>*DPG~&tg6~V7OYp7ax$+P-sjBNl^%hqv
zU8K&Hjd!--ndRP#B`vIVYTyUixeoj&PaFJzA2vVU=<10tnel5S4x!16-{peu;|IZy
za;QRPN@Z@`}+&IMiU+0Ck^n3Q>Iv+534Cw;8CJ&slPy5Rd*MeuD_;pA6!
zXQB9E_u^q!D_yWkHeQHTyBJe+7mpTG_98VIr=NCz7Jtt%GW)nPUwjZe((L1c@8b%=
zx4EJdTy@C(wA9r~7hI8z7vjp2bgjh2ltrRgNf`aIS#qMQGd`9a7srzIF8Dr{5d1in
zT;gh_3zo>ni?JkKvU0LS6l<2qUp7l7U7hip4$+BT;*I`A5JQe
zKF8MOuQ{|J?kb+IIv|)!w6^e=f!xVm@M-*2JpTq?$@p!QkB(RIY%lBLLST@QOn{fz
zws{chsZO8!>d1Jd3CXM~rLoHRD8>ghTV+U?IWRQ|X|5`xrAm2ZtkkSdOpU|t4eanV
zTa`(WM;ZFTAirWn!s=P64xeI!v90QoUy*dRhyM1TsYv{++ux6GuyQy
zeJtE}Gc_#bc)98*%I*lnZpuiuf#inGtzfHh28Kkj+K#C%eUA8bORx
z{Q)2jaf*LMIXLL-9YLb!iLa7h89kCiNb+dz)qr)^O8dAjxh#90M!)tU{&Ilm8e~ch
z0j)1Nh^L0Ic0`IrK#BwSPt?^j`$?)jW{{|TT$iGoCC5<)Il2Xzl0!i2OOE0DW|Ctu
zkYf%1iI*H*>SLB1>kV>r3o<2#fYz6s&G*eD2P(>${3kwgtcWx+>42NOAf-SIl(f?V
z00e{cJuo}H6Lk9d{3mv&J5MT-OBaHt^!M;TG(?YBh6uH9?|`Nr#;=sk>f97IaJSU}
zGVpI;^x))xImosD`NDDoGWe?DO*%21hBf8Q!0^&+HI}a|Evro}ga0?i>dRIx+q`T^
zbFwm0tu(1z+&_UMNVzmJR+*@d!0m-pV{l0+{qGzcJK<*NI*y)j7gct(Z?(8YwX|`(
zylHTW(2mRibVNiaq;~Dsj`}8*q*tRT_9d?h;FUep>>g5Cb@q}R
z%=@o>Yi;WOYj0dxf+ye~KEl7v@GpXk={zQRha}8RJYh@~TLM(MQBvjApcwWXF0}yd
zl`%4+dL8#s%Hxm8u6!h}E6Csv@}DGa=%?X*Rtpm=W%jfdML~K)YP>DDuezZY-`!*&_$_%YwxyVg%+k2D-<(!*6-5hgs!Xx
zN|?aB)9$1MEjcjo+5xc2eaXX&grXeM-IKo%Rjv7uOTl2StERtB1)G|L^^tG|Gxo%B
zZk?ghd5kRjWr-B**#d}D!DLY{6s*Evii9Qw8)mAS3YHuUmBX(^Nj5=sKT$}*G*NO2
zrc0a(rb`_~Y~k4ElaqA_aTD0OC|IS=0*!`ws?FL%}}FR4t-lUjW#CqL6}VqU01z
zmpBznmmbQp-c&HYGAJ0r?wNu;kO3B?U|9@!1$z&}%-9hO*J1q%ma$Cf2rjmv>?}T@
zQ^p7;e%K1O_=kS`;Fl#*u=xUrQ^90WFBGhg!PHQ&Co@%xDA+*&+fNiyFin)4g6R^c
zg6UF+f@N6mSFmhlP%wnuGX;BQ23U}SWij9t?1>&L7_MlV3bv)#2!`PF2qu2m3RY%h
z(JxD+V3!FXP6d-iy-={t45o&HHJPeK6l@w``-wsdriqeMFkRwQFkN~m%X(A6_{yMQ
z2)kzr_Vx_0AO*`}z$@7E7-q(fV7MRXSFns_@{eE$&QP%29PCyGeZMS`g54s3I2BA5
z^+Lh!U@$cl?CVU`A`12`fbAy=DVQcoPQi4EQ^9npL%}kv_bXVoGAJ0r?wNx9Ap7Lrm#m+jWoVJ7Y
zZ+jHm|K1+BiF*qmP9>8?tdi+VFaU_-#*38DiJ27G!#|7(g%gaVolIVTW=@Z+J7d2gBY-Gj^A??^+rduGhzf9TPimGP0>u
zh5cc%UtEH1k_+T!@1U@BcrF2pRS>Ib`t%pH`73sQ%eB!`d2(_bwu_NwcI#;X++Znp
zV!TwVw@Nc071fE!@d^Y^!G6=IxB~owR()iw+=M7Qjhs-WjFHWp2_fyyywyAt>+k=_
z5ZiBG$g8~ZnYfB)=iC$5P@$)pG2J!fb%o%hL=n7vFvFH^c{y(|1)My*Bk(#;5Z;pC2-x&+Q{dTTqR9uPU+93!
zU}UhkD@!Bg8iuQ40FR8{!N^ny;lV%3OzT9Q8T%P@ifgwY`8(w|4`eZS7C=C0oJK&G
zcJvXjhN*tGa4uP~LJ}vHGSxNPsvedB6C^I#wxJiN3GX1!1r>~w#^N9w;4OyZn
zYaibMUI177k}Q6_oGxZqn)5ikAY}wxU-GknJ!iUf2g5*^0RH4w8J6&^0H~CbH5>V2
zM2MWbexs!gE47~@oQw$_xJLdFC>c6JGGJ|R$y%HmlE<_bCx&Y1?m1j76Uk*Lt9{9(
zF(PY5WG#b_6-ByCGi-+ZkaK0e(zps!Tn`Yc&r6<;W1o5+1@v4Qi!Y-TP}xLy%%w+P
zCcNK^G0l{+oHL~>s^jCp(96NstWjETUGeb}=|GNFhe1Z|8M3
zM0DFr8Qvn9DEQ`DQPm&acB(j*4WaNl(c(Fnhj38*Ukn}>%9RgU55hC}%
zAw&}`r$4&HIakr8O9O;Llc*h18*~Ao$LYc1#TtUd~PSC2?_Vgyc#4(6&3rjRo!Se4tYLhyYl
zSP%BWbzEP##B5a#%H}IAal*X3KO;`|d^hCgp?7Nt?bmJ(sZlMW=kFt$PZS$F_$tU8
zP`YgE*i!g+82mdN{tdvtpNu_#DnSV$((Wan#GV$q*|3X*5bb^+`#WECnBtvF74Z(}
zN4KdW5|IPodN@dud=0<=p~k)r6E#U1arFKlNgmiceb$}|S5UTKPoRR+vhpxoq5<<}
zJYk&*FrLI1ru@0-KEt3IcZz_}dXU_M822ULA;gtV+NxlR2=*H9JlGE9U9jNWDGTy<
z2MzF7D(-lGr8U*4>4QD`x2Bn}9S=h@++rrp=YN41X)%GXl5ZMQWq^iuN}rN$A9b=4
zg+>K!bEVdjITAn|F!h2*B)a)jcdNUG;Q&^o==3Fj37{PfpGdpF;qzyrD$n3uB!fkG
zg3=}Hou-IjbpQRqj6MLWMlf1zdn5B54k);*j$QF18C*=)F!B(RY|iuz?*w|LsZVfJ
zAm4BmgN3vZeaQ;Gp1P9?DHp|Nzney0k}?I#sQEvlTb`5&*Nk*rCix6N*LRsDmdk6N
zD)=NWp%PEIYo3HJl)L6BJ1isd3BAK88xWwU6OY^d8jz=BI$uJChi4>q4UL_6%3&w6
z`4e_s-nR7R_I|lBTwE2qwf$7ig_QNi7H?>6Eu&Cf3P7NmpfM`>z*w5BA6(Lr%A`nqqb!j5$~Hi+LI6QmWvK-9
zn6&@p`m61UPK9&!zfE^5K4*VQlH^7NW9RJGi~`f!Nn~xt-0a6CAXC2!qomt}YlnAA
zxMmA-nr#gw(@vO$b|#VMq*K&#F7!*_yKY_RvBin-pRsLJY4D%77x@(4bw`;uFf7RG@RyPto6dX)3+Hhj$Hd|Qh`SrRfWLe2C*
z)l^x$)bvB||ItN~>AbW62yI}KClI^73@nQm9{4nM8jDxWb`8{uwC
z>eG5H&6N3FW|b~=wB!KbTcz9IgfoEgG(~PH8U(V%J3K4&SM8}-#}IN7mNydlIJeNM
zYxcWW*AlJM9f@~wQX(WLAsE}mY42*|D^0)sQfr_v?`QjQ32<>-7}=K*?X2ZR42{WN
z^U@)zohckh?Aw5J=oXBp3&jr`|1#j89iF_m0bM3O2+pxxcft2%4<`6=*@LfgwbDiQ
zVA;5B(o9>ZR)6X8_vbpAbycUuVkf7&b!HFiWh2AIeZeReYi|1-6t24&kdeUfrbWe#BJ@Y;^&XApq2KJHAxpGBG$
zaw|XWfM5!*EiIN?`M=@Qc(?LH@Rf8cQ6M^I3f{I7f}9I+6Tb`f$W8nRK4#s-qfQ=%
z?TYdU9R0%SPid+Nfng982u@+MH3hFlj$jy7OL|yU3mx5js*QSbKVs9D{D_cJ63DuR
z+s-Etnwb)D_VbPX9%z%*9aHkrGSbe(BS^-6auqt{8#8t$gl8vnBI3!v4dCag#JT8L
zl#~Z5rvjO1YB@ZU*1N{)B|q`wZLUq*%7#6nV2{ND2zUeev|+NyvQ={LC9wkK^r}1n
zaV)_f!eEKGP)4JErmAUlB3J8^Ljks*AhcMo36cxs&?U}54qbYnhs|0q+rC<$uL#X_
z={x%%IFe$Dt_2M7kj}J6gi_2HH5D%X>j2%L%>$*f%EWX%Ia@JNo^-@kn67w9hgBTn
znV<~!xVbK1ltWmrA`)z5k5sT=d@P=?QWg+U(rqqqQKo{RNZ7T0i1)|Er5Nc7Ti+c
zPQZLZ*X=9sw*Z8c+24}Pz61Vnjvggv{y+G|L1!-n5xHG_Asr1mGX)WAO&Rg6Zyl3K)`3wsF`X|Nj61#OeRbBG&)k+tE=a
z-p(?c5l1n-KwN2lu$rk_WPWfA!1fc2<_DT!x%q)Ean28P>0W4!GXkJV(sq@C5yG$I
z<^%gN#6r5#d;kSJa6T|!ROMsFbPymZqW-OWDztDS07=rq1gb`8;SusU3TU5NP!VGs
zdLY@6Q2Q29-{_9Cqdo&(UX48oicgU~M_+Pf0GWuFNTwe1(u(yXep>G|DFjb%3P6^4
zdLvRI+_D-c4;@wsrxP-RxsA`q8GKBuk(>#Y!}BDo27?U8M;JU5vp>k!Q;Li9i(s5mr_@NE
zj9~2T@I>(lOszvaZL_<~k4C^wxC@!N3--glc3f;pQOlahWFCCi?P7}x_QSSuIKW`P
zZ7-E#(P1I6bKA%HJ)1C5OE#7((3?2FORx#Ko*N$MW{dxGk%fgeWG`|+Fc+k3;k3M%
z5%@HIL-tJgO3o2c{tCqTZ6_j&g2H%5Vqs(o>e1fqdVI|8-L5%RY}syv$-ItZ)6spS
zMkG`=urK~YEknuGh)G}aB0@+BJG(xaEO7P4c6CfC!f7Cd^C=YvA4wa3`@^7czBd8_
z(ofooPr{26PaXUu!njB{U+FY?yY7J8T!$1a+Ita>5*)uZ4xNj5UHL_3cPJ)=?`#QS
zpf)uj7JMLg*7SIF0&Zv(|KB414;QGdS$E{%8px{!f8o!0Yeb;m%F?Drd2_WjQzY!~
zBf+v^Iy@iHU$sYKeL{KpD;w}9m@%j*EPRN(O?ZpaH3b3J{
zS{KEv_BMa}0q%?o3p=py)E>wZttDn+0+o!4QadDYXWgh;v@_n=H24wFAUmdcH|D~$s8%c#1&FcuVPpJE2LfJ<
zPZA#lN40Kn!S_YA5_~JFbpebMsuSYb?!(`^+UO#tRW@yp>ygY@BnC4VC+3gnF5six
zgDF=J4ujz3ve`a5B>TflaDHAG$Ay==;QP2h@GUOPKQiqBJlZ{Yy{m;Tcpw`t#Dg8l
zlW=n3ytEJSX!qfRu0Hs<@V+=M+~R`o;{w6AxUg_Ty;f1mAb;4s_=>BQE;u0@FT{ym
zO;^svjvc9j>W}_ycj;bNmwb%*UL0c{cEQgx=1r@20PTbSKo19`9#TVb9Quo^xh^;)
z8;|4=U!8(`oK9J{G57~}jKLQkaTF{a%(#~@DN-pgn`#Z+k&!s#dpF&n=E`fTqI&%a*W>;r6$?2ML
z1oHx!ckjHJ!BXjD6|N+cu{I&*0zx>OBG9Saf&@atQwpH9kUmk&ICs^+>
z?i*0nd(PU^qeJon>~~-CeCocEY<4YZt|s_GzfCq+5kRDz7)C+@n
zuX))H`~Z|5+c0-EJ9{=bsN+F^8yJ!z^(mX_b)u?Y)Q`pmn9@LN3hq>)8@q+LpI@$R
z5~o>6zRTlvNX90wOLs{*yI}Ku25&zrNw&WufH-Aa7O}FuNc2=mH~rF_6Xxf)45o&B
z|B9(<%6D=LR1Ob5Ngjpjexi_kQ_sy)JIP`DfLuv0XWl@@!P)ueym=-44JE1!%%KLI
zVLAtdH@Y8FwFpuB0Cv|zJ;xyG@(fXrWRNz5MiLc-IA@P^iPIkG(tfXUYGH2s>wzsn
zh;i2E+l;`+S|4024Yoe=_G+i~;Z|Uu&#=cY6J&j!CxAGuk1Xni^=UGg8iF**R4t+?
zQvlmf6tX_l^I+@qDh6qzf1yO>tU-v@U;f~}9ddDv-vxGj|*F?jnGjjYf21rVq8kwv|*
zKEG!$H3aDqrfLyI`6Iyg6NRh~^*q@6?DmUb-zSu)y!AOKywL-hszr!;2*B=|s6Oj+
zEQ7QmG+KyrzK3)SH0(2Q84!jpN;nP#gZH*+)Rh!y}4HJK65ngU`fGt6+tFAijQo-cqn4Ua71
z4G*s)S1_0wGSp(K7SWLzfbAy=86HiPoFMBGry%RnLwSB{UbX`&;|d}mA1Bh6GNgRPDd8TR+
zS^f&Z_7jC^r0C?4k;-_bp>I%7MYeHvW-QWy4Ybaue`|^e
zpJP2E34TtJc%LqSfOtFkrAwEEc1NSw4*moxs^mWt0Z{48pxXUYdz0NK|0$1-4vD?8f#v2EYDUnuC;5+zJk}sG;oUhTJ;{GA
zklV_G8kS7{v$C|gKE4hDxhEit8~(+cT!*To>yBIrTYvasV|BVRy6%kfc(byy1kN|b
zdylMJlTRG9vxcr*bmNVdNTD=0W+ctt{0&JW^d=3VJuwG?-znu}o>x26`DDT3BGjaH
z7Aw%%NSa^=IU5CNGDPE<_4$8xD5f_?^uvx1%uVP_aP!Tgx*goSNC*@4#7dL207{fh
zh-X_GzUpY(i|m(V>&qdaOYb|+Tc=upCma4IH3D(Qa6Uv@ukakbM0S7h^r
zxPs?Ugh%IM3A5IEhpQVtcHADvj(c73ee59k7CYF;`-fevbioYScp+vi0H@l;hj}AP
zoZ!h8rNs|BMpPdU=8F%4M~Hn~@O?ZW_!bX5j?+>X{4S_3n~kJCU!9`r)2T-Ce(-pT
zrOXVCs)uBm+3BAhM~zc!im^`-%*EKh4iN4(#y%0z)#ARU^~fknmMLiv-!*O|$BJUv3bflt_SjB&+H6*zNkcL%_
zi||iSCKc=<-fcSP6G}nM^9j#6Nf?+QLo*2-%;_FV7sVWJLcID(^m`U_ERUI6(Fm~G
zFkUaW=+E*J?w_P_n(DO(*QB6$NH||_j86w7emW3ZkTs{S&((VsI_i%|7fvqsg0zv68x>0<9>b>Hwt_hPCR
zq3ZqsyK7lpBy7GCSNdg3>?#KLE+m#Wu1^nd^hBm=5!ybp0ByYy@)t8mcR^I%xNZz@
zbcCr|gs5W$i0U`4S2I}83RPbl-e{YtT7;^vFF@7A7kl@92I(A8!SBlLj!UcCX}49E
zu8H70TPa_#7X$=3{fK`{21H>bBVZk53zfp0?zKH9r|m(
z7wG3EiTFVRh*QL6Q7=UNX$+=@h#$>VEh6H_18hH0NW?W!aw4uvoFcAE4^txUWqK;$
zVf8`0v4uGCK9C`3q(&m;}FF8-IwLySKY5i#!rJ9lSkwyjYPI0Z2
z=>16*38nTgHHpM*vc~kq&s>uDL;!J0yewiRp1Hy8r3{vav|r0qEh6pL18hG*NZP5_
z=1NI>0kBq0lf<*lh_^F%8(j>gssD)lhr=8E08_OHO+Ok(QxLM81<~T?v>>{4MTA0W
z-n3)B0&9Y;#aWY03~?i^$qBV7*HF2++8n{VUS{H~h+Ci9+^66D23>y2L5#y7UM&T88jF751plK-#gr
zIBEX@L*7Vfe})J_C=CqP>*F#7N@J>0su}}jdfUo499F`}$d#oEL`Ig7b7WG0M
z?qx7F)ZzO~)gtO}AHen#h15Y4C8rL$#HkLtba^=6Q{j*J2t*y*iWBuOGNjFkx_4Pw
zoxzz7SXrhsI2a%jcm`)wE<%6SNEipsg~(9%1>;?N@%iOyv!bKb)lW@S;gLM`w|>tF
zJ5DhyOQ9+k!(v>3db*6g5|>cnDY6UYu^7Bec8v&2q2D9*TB}^GVFE^2YS~;KhYMv#
z#>$QINUPFNhsxfROUIX3aVWbOjVTArdS~}~T|lqN2&`qQMkw86KZGpo+^B49l^dHX
zt*yy30CtelJxw5iv#HYk*S;|ufuKvD)+LQKaoXKN0Hs4L;*{=ahO{Vqq#h`HQR?B>
zPdcKeqQ%q^HUCF+CyI*K)2iUO)=mVcc&@d>a(N-jHPA76A&Pj)U5FwMsL{1{U7w&E
z94U{Fh-;mPU>7Rj6x~xOQ>DIDPKHrhU^KDapLm`XWr|jTyo3;vAlau+3;^pT(O`lo>ntD!6^GblKMIHIM2Pm5T1w9Z24f
zkI0R#?_~>)?%l`5)2*E&d^M7}2;bL2Q4b<~{~f@9(ZWmGhz>Hsml}3nlxB>W%THBm
zDq?wCB7d4-RFSN`iUqf{IlG_L?W&CWh&BU>aTd`h`UmPU5^uKkNyq~Fi
zq~4(0O69{gwsen_$7bFKFr>}AAD_e}QsSwD%}gY^MJ|zAJu+Sg52`hUaj})@0K<7$
z2g7N>>1a8nT#k9nSicf^3!prRoHu5>+xRPMmVK>7LzuI_XkJNlYzBuMEB>Q~&~D7h
zP+$?mb+*_DQ_dW>mFIrZdyYOHyw@Xn*V%jGc6Y}Irk*LIx~IHjVM$;brbYGnUI~6lNZlL
z9*3R0xES&3Cza@M^1|T$dGgqUncOVu!h_8Y6T>M;P7gjz(&Aa84(GY4!^%
zTw{7@P8**Ib)Bas5&^`yfF+Cg1uQdCe8k*`!yEkoQ`IDD@>ZxEacbhDP`z8C`U88v#9%!uRQ+~%
zqu*qz7NP3hvqsg28LVf8s(%Y_^e;@+B2?Ys(E_p>aB5;dfX|INWamQd0B>BEg*SQ_
zQ?&?fmlvR|*SJ1|L3&mM_T2DBpUqS)Le%FJAgbTEZep;W6{=2$H#)^sEke~T1*qyh
zHSszI=^RnP@5=3wX^+ggkgrSkb~%#TL2NsVVZwmln-d0miN&010-%!BVsRn~w^d|%n(I{mv
z_mL%zxgd5)&QmKp
zIsz5MdXQ(+4a?=G+rI-h<))i>>agiXJ6M;fjG{1nW58;sZRGZjl^Wc*3PDP6zvkGN
z+p9+E6O+~P$`IsDpA6V;TiRi}&45y1vrX@97~mWs1G}0?D{sbrX%C-w11URuYau&q
z-_j7;lXJ4eW>CPjzZM%Wkm8>_fL)oJc!9muUX|IKj^P3+j=7zxuLI6K*r|FPz~Dp-
z!v!Q6#7@dLh`H=e)pci9YM7QCvVWzizs9SuV+C7Pc)YMw9hLVQkBn7DE*DqBs0cec
zeJG1DFc$*vrYg-Pu&0H(XJmVq(hW(+L@Vj_$8dOKywcS3pzQ-0t!T-T--BHBB|G7t
zh?!CUHc=?S_eF%Na|ex|Osn`#Iw7EbYKn-N)Irb&w}?qIsRI!mEtv3C@=YVUlni@S
z8T$6gQn_@v=X%^NB`L$0&sx1zYF0or8;}BBh+;WCJ&Q4+vlQxiY(S4G)bl8&syS0*
zwx@ETp2q=f)2UpDzdw!Xy)Z!_F0;_~)Sy5DXI`#QPhEOc7xdMl(C+4IP$q2MR3@(*
zBG#9V5WTTONHXhCYJCaiEzon?KL9FuPD-hwJSSy=wfH+cr)L2UZI9=K<$z*|TLT#A$l9hS09hjniZhQ+PPLnz{C4eWn!soOgDCJaG_;FYeZw#LBc8I=LfN)EYdS~Qa{
zVat8V7YG4mW^C!qSUe1-+!i7zNcFjtRJY{D^8wz?&};PMXXxLWCPH2BhGqgCjXM#e
zeiCXvLg(-cCgCO`I7*qaF`u_I^-DvmYxLWpUjW-5jAVOX@<0GxXej~d5;!2=ccRV>+veN^7h>x_oQ<@D8q#
zNbQrtE8rj1)R>w9IWP@(ORp^9z4UN()HM8?v2K&XOiSyI9E2OC;3f|7S6w}@vIKeW
zVgJg!XlliZ%ddcN#HI=h|F)j0?J9aKJFHXS*e`8e8v~AY_Pxx}jY62m?gUvM)nBz+
zbK-Ah$SD`9#{R7Py+>9i)Nr3Ku={_7?uqnk?9n~M_e^P#Y(`*tckrTFVZP|$fF1L`
z5L=Q)*ScUTeGjuw`NJl|s{!-unC=aDe}&@%hqNRV@P56ho0;2e6qxo4!t6nre?f4)XO&W78_Rp`$w*t+X44U6|wCY9k
z4#x+PX!hj(r-vPQcoF}(_#pUpkH5I!`)>Cj`1b7{o$r6z`Hv2r>*96~*=*<0K6CcO
zrHVVL@rR6xB|U5^$EB{0_^w$wSbPx7h&3+wK1L9HixCT8R297gB@oZHvOe9_Mi<h$}m(X&{Xh
z)^)G*SFBK@9X{HF-4U)%_=vSkd|)4=T`cFIsulIqZs`P9OFp*CmLloGSEqxt&biv<
zutuaNlC<~PF{s5z@zM@XX0U&UMS;#oX;VCNtL;PJmG)q@eFzyN0~EH|6kaS^m!Utn
z0Ku;BA8@Kz1c0q)h)x)=#&F$z
zwp=709jk5{!^7KUILtj>zXBhP4Ffv5JzW~DPE=~mYQ0AG(aI{tu87>k5W!qK-UM~+
zwPOl9c&h+{)9z9>GFuio*2b;lt11kf7WAD_=pSb=1vOWvbU(^eEwHkld;*DJoYKt`
zg~A}H=Vr!k??JNL7^IEezJ#e-gs3+ZAgX^@_y-2-
zS)uAj!yEk&Q?&?H|G5BFy~Dy+7^HJVbqx#JXgG%jT^eTEO*0rfESTTIuz)Sc4GSj+
zkRxJPIH5LO8c;X+K=8?MrD5H?0h|6K7~>u`G4O8bJ<4G2H*{qEe=UGGt-mZ{t^Wf5
zbu&BtIoQiu#8fS!PD=o`pCDxUH9>N&kS=k`ye?f8$Msa;BR>Rb$2Q}n{g;f)pz=pa
z`%H|qTgoaDNn6uk@6PZu8R76Vm!$n90mLcovZ$!EU<(7}xWeszs#z5`gU|2uZsp
zNKV>yiBsBjX@Jn0T#u4=^Fxq!Y%@;UPhdzKDeccv$4s<=AEi4t#UUvBrnY7YvN;Sx
z)(5drI67FOboAoA+=tI(YYV)&?bS@D{Cp=xc!dDsR0LU6R1yA(!O~EKcQRFrD8hRH
zwx1xR2$~={MbITqMbM=ubT133QWO9J3WB)ADagwh(nl)DS>ldHndL$(jw+gD?{4%f
z2gOEY)Ps%uxQFSCUk*qy?h-(piXn?w#R#~X=GP3ShI0IpsaixiehaYuL?PwSM9C?K
zE^#V{E4;8}0B0<1G7&-v{>#0cpll
z1Q4fY$f90o#z_pOhGv|=R4t+zPY2k3qL5~2qU1C~mpC;;m#!-&38{J%1Oz&QIK}Bm
ziD5ycj$CS8YNiMibeok|W!4PpL%-&H!+XzJi|LwQI!I+E1rVpo$f91T%*z=}4VAf`
zsaiy3UJ0=ML?M;YM9Ha)E^(@iF5S>$$w+mm*N{P}5bHRlnqZg|sZ>W{(gnB{NfFI)
z3tCorTwB!4J!t>IAnlh7QkPo=5KtE<|8?mRF_4+@~2LL~`ze>>a0c
zU`X9(TG}{X-efK=X8CAMIX9N!@>7-jz%+x9dJT{BsJIpSrRgSuFn+=GEQq~7RqV~j
zAIKus8nXAEKEdE=*uuw|szq$!yvGA=p(aVr7U~kGF6h!zdm$5=*X^Ew1KmOV;&kW7
z3_Buq=M=DdYs@QBhsz_EZ)()1AWBDBz>Sb11QXgcXPT|bL}r1e!yFXBDot4^erVze
zML7;Q?~7InQk0_w5U1N9i&#Yon1eo>!PHQd^-R?ws3+z<^Dd?G1nE4}G{_#;0NJ#&64DNnL
zlNWHU0OFK>S=0;ZzmdVzkp4F_Rf|af+X1$pC?x%wC^_lZB~IzrrK{pNuld@J{19Xw
z+l-U>s~8eT%KS6Wvt-`Tdq_FfY)&;QA}>@&+wT_q^HRZwM@=9h_;)ZJ@bj1i|8@by
zDfqIe7lQv&22(@uf6P=ZBKQviY(G&*@HJ6#g0D-Qg0D+W!yU?g&0NduhkgwzfUU==
zz-@FfA
z-IMJO%Vl<#cSFZyb{Fw9yV+fi?s0Y(4X;3UmudSTmj-ENci93#%4v?5+LrAj&&#dA
zyD+0@=6ShAe>JCv#57?$=6Nw{U=r&6+A7aWT3}nC|Eqh_ZJw8u7RhZ0ET89P$jtLH
z3t~Wv#Cw^k2Ges)_UX*@JrKv0@#Q|~Lw4E3n?2(Pjt@L(KfWuf_bB7bpB!y_k^Q~n
zgIHvdgL3Gz(_!fMNLlg27PUS97D?IN93Mm?tD;tIAy97t(R_NE<&IXpG<~Y$gJ?9P
z)6<;nXw{46I>!gmXl`*Zetu2971Z34nT|f!(W)2CiyR+BqS=!yIxlqK;YEBxd=Q+x
zeU8f*-?%Kf2oJf(^3iLTo6K
zMQ4vEA_vl4#RtKr>0lRpA1esH#R@iy&PrD+T`)s7UWgf8WYIa@g}qN5PLAWj1upnL
z9uRzs2c9fCWf%M|s4tr>MExFQ(b?kajgK3fwfB|J)`)nt0f=XWlNEC;j2>?9p_AVuCwT*6a9`k
z>r*^)S#&-D^TQrw(fKhlW*cPDNjpDwkjM}7N$3wQ@5E=(IhxI)lh)8unLGj=ho$!4
z;Gc-4_Wo_Qj3lV^FrhmqS#%cdFfX^jVovakJ(l@U6_#k_veJL6EIK8I2<967L%qFpmIbOofkm$Zi(tom#~?^dRC}P?sMP6p{5QNc9iVimN}aK872zHl62U|9W%+6jHbW?0S9uPndIzYak
zsJi`U(fJzFCBL##@Xl8S5a+NUi+V9E+{a*Q$l?!~szr3|#{k<;6dD$&=fT6mpBSW#
z{)G~i9~O3=$Gb)})-GnM79r{`0J~eF`iF%>8LVf8sz-%4x|*q4gsR6BpsIIRcou_n
zj;O9-K^qO{u%JuBh6OWQLhP_$ehV`xY&mXN_;P^e#taL%lUXpi+7>3c8n<(L1;b&#
zveK~76hNHAf-LIAu+U~OHDvJ>Ow}T~_8NfgCkhP<)brqB;XMq}M*l*I$`1?w65i;?
znW{yI`mY6u>K_)q#$Y`wRQ*ACqxUdXi%|960#x-53%_TO&Joo$ENG+Q92RtG*sx%l
z!PsHJ{1%1z5_j`qYLr2#CU;)Hw{bdnr{h8!y$1zwM;&u#E
zwTL>M0I>Z8AW^A0_tYhamRYW}Mi6k|A-V*l!;>1$SQ1
z18--M0OC{xSyWUJ4rZ`46rqo)T0{{_06Rz#G(mETpi7*Jpi2v+15A~o01!|R#3fEa
z<};*^RFG|(Q}AM@Gk!Us5#oFS#Hkpvh*gY$d=8g0m>SA4##Ak$91{TBPZSy@G*NQO
zp-Y^~p-a2Z2bk(c_b@;;5R*97IF})Oq-t!_oPzIW`r;P?(u{WsAWqGYMZM6BTNq3Y
z&G;l!wTNc?8^HDxg)~DGC8rs>#Hks&v|uX0R6Pm;0v$n|;&kLDh6Ry2vOVP#{0-AJ
zzjTnw{89jMs*Eh^g~}{k==TQ=m6^v>Euu1u0k)qgq%xW)IhD~RPLQJvC
zgHj>ZaZ2@bM)D$+YHo50p2SF&UouEtju${cU7Y;arBTTNQ|3l}2Asq8;y8CKLxf1q
zZAUo;H!?j7V(+kGZ$27R7O~cl%_(>#gQsB&rE9n<`-wu*uZfbAeqG{}eq9=w8ZZ_7$PYp0
zvCTM{|5I;ee(rM$p2Nt9pT{Kl>je;};LD<32>vjGsUi47Ow}TSKMJt@L?OY~M9B%h
zE^!LJE;S8zXjZ^f`n&lWQ~+C#Q-L!WV&}}hH~e4a6x=%?)RXel;Zd@{B^jUGxE~u#D8!SF*v87uWl+BVW9hxPiG{dJa+I^TL;EUkb7z=
z{5uT(9S;8nF53zm7N<7;HGmw%GbBfkc@~*d@a_O)iFbD*CBk{vF+m^(4md0!*v*cg
zXts%*g1=;NE@0O>qYz~59%L|6BJu!VPvsOusz-^4->y(jL3JKBDyN`2YOIC8kyB8d
z&-3II#B!Na@Q}suG`s{(eu}5r$tif!XtmiY*G4Ks!@*~JwOZO7*we@J$@qvS^$(}%OpzN8Vx{dDw
z5DEvj`ZeGxo^4DwIU4pR0UL3Az+&3jCaL6FlwcwindA&;NTynx^#l`30|cmJu89=o
zT&{`L(1jl4ns_ymT;`e}s)(EhMbqB1=3$DqYD0p2yXUr>q
zuRk(K8~qCktO(S)uBh@J3fL
zRf|yds9B@xSq#>*Le=MnH+nHswFp%&Eke~r!lJ98iGJCm(hC{fyP&NYL3E??m)+<~
z!W+GYsak}#*A<{`a@aodGz5%8^9C~6f#1d;-33v3$efG%x^(x952=kpJ6i&?3jE4k
ziRe6=1Qf**>=y!D8af>KIZ@T0IOj~5T6gO#pI#gFy2{M_{K-4{{UpEhLK{>22p~>3
zSr+xeOdCyd}RVywUTSszr!;Ndcnz
zE%^k4^{i0!>hMOdWU3aS>b0{*)i*O(&k9xFAKvJDn5spn`hg-;4RDh`$Kc)tZFx8O
z8{v)K&QvWz+iw=2t=CO{kU_c&qVmS|vG7KJ&r~f!)IS#>s^7Tov9sTKm=&rX8s6x^
zOw}S(eG0(t+7CF#n9*fD+!Gk2b3}Ey$=V}xy2-k9SIc`$on-qxxXAcLoQu3CBhlCm
z%SHBj-6~$?)&R$wVjpm2J8)zBX6d7|i|~PWV73A{NHGsDgsR-~yRoi*R5{&enW&WU
z_S=a{t)=%|4F!&U(cdEf4llLzS9-#YT8vSv;o(fYz
z`b9C@Z%!yoMeWL|{Y3vqFN19n5NfqAs@drXQxV$)o-h?GmtiUoLC0j6ig=oxFqLCA
zR>#MOuBf)gh9+@uZDc$sJY{(%9D=s79l#2NrM#sx)PYSEi0WuHW`?Sp%Z-(#(aLzM
zJWYRR)@`WQD)eIu{g|Gp*7Rd}njUA;w=)y^?UwZImh|n46_;O8Zft7i<6ri6_FG;O
z=`6FAbKw%7Eewfw*+D~SUojW)F3$eu<6N%XhFlVB{{wcQ%5D}uqK18Wp`!v=)XZC(
zd3`|o>~^9zjAehv2j&*Mic6t@o4rMKyB~|CxH~#vmH_7Jr;YN_4h*~~uXcP8iSjN2
zWvQ9O8v9NfSuTn+;xm~g-m@Keco9ES5^p)gE~&VR_Plkf5qPo*^IR8v-|adC-@1y3
zy_{>4tCceV#j;7$_TJ5@$;o=7H3Xq+jn)gN>a9w1>nqSXK7m591f0$TQ-B~zu1FKv
znJfAVN-0j+YbdXE_2;l`e-QEgCE_m<9|T{S_8J#_A6E!|99M2~wbBJwWaEXnva=qm
zTs&EbrAmb54_k^q>FSA(A0Ln7#}{4jef%K!as0T$)k+uqkc}7R2e}3v_)(rV_yIp`
ze*D7K6CXc*8pn^vT=0GTAoy|oSPXHJxpA%we#pj)@k4uUPJUpi=7;!U^WzX#Pkj97
z6CVWIt5q)eK7J7VIDVYyYNZQ)$i|EE!>1qUSR4Gv>Bohxp7{82UK~G$UGRPUAoy|o
zm~^$$1wUlt#rUD;FHZfyQq2$X!`6>ixO(E_$Mtdic#8|Zj~@g-jvw!JwbBJYWaCBo
z;nNSCVjBF&>Bqmjdg9~9zs2$6YcBXceh~aPe%#|~r3-$@#tZSI`|CF!b#=l=s$WZ1
z*i#+3jG$QVzJ7Dwu8!f>$8_0JBwhIGfIqHmr3(znUf^!b(dmc-J1+oj?RY98MKyOS
z;xDkG)`L?K%aAv8Dne321oHnCpa-3bIQ$G)b1Rigv>H(zDK*E+la&&#!j<$Y+@KPW
z(CXTXC&vPUz_g?BPsAE~|F&E_5+qzh7|+RNnP(vzhrI_y)LDqr5wCs{{hnQx`B7^*
z$~+RN3I@-lWlnMWpN@mzA1R!z1J6W^=Gqx^S#gS_Yp~
zM=Jx%m(k(ECGcr$tlBKqhm*=k3#1N&akx^NYF0)|t$JysQ7N}7rSd5Jg6}i(m^p5d
zSsKG5E8K$F2t#&rA7M4rbsoPM541ls<8zLW*pVX6OdxiGy!vQl)A*ZL99z}$Vub<*SIiRi3Uk<%pBfaJ7U?s;z!%stf7=IMWBeNK&lmM+6Y3
zPRk-zr;WW)0OQ;U{R)Grp{HMDs+xM5yc#M;oc{SLRQD5w^i&fir>DBasi(Shc{ukq
zPume6fdpe)aWelwhP06~f1cbth?DslA@iky(aOg1)Of3jW1rNW-?y!S%`)*ejNB8spt!1fb`6hRXurwF>lsR+9C>AWI%
zMIzOXqL4sk5UV(q`6DA)U8xM*#Ug?g1BZz%U8xMSeRMV>U4H2xl{r%YajJ|g>V?X@
zfWg!lJ1%3Y7EzgDfbAy=sf;E{PGxk7Q)P5%fS`LtB1&bvkU(V+t2mW8jbTEh$~*@*
z-b{r#r&_B{Oih%gOPkB%Q({hrGp6DClstJeT%Wdw7h2AkhFecBU2~axm|?f~-pcgK
zFB+sTTLloOzR03p=*veKObvbcAXBx7zI+T|`-wvOqKT5z7hU4i7hQUCafwJ(rU$@4
zYY?|Mt$97eig>LlgBqm6%sDXC=vr%z?5s7$BKq`1ZV~+frdNIeA+5Pj0C8%KEb4{U
z{F%Yj(3(FoRf}lN;{e-F6w(?^l$_S+5~tSa(vyozgsC;f#j7tt+~Tz6hYTxXwFdXC
zEv=!kW+rm1nemP_+*bKfyZa{zegPq^85BUAS|f{kp*3eRm>ODh8dJ51)~pBEexi`p
zXrkn_Mwd9XMwja0p?iriwWhdu^(BZ~oYow{up(Y-++$5wH0n6kZ~+b1Fun2%2x-lg
z0*F&8Ftvupn(l#t)*x!f1
z3l2KqNj>n;_7y;!S|f{kp*4dHriRuW!Bj1xHERHNkk)9TanJKi7>T>
z#+vSdfz}{yaayw%!-`0)IYGug!LnF&1X4Y&T2(r`GE=&u-WV;x(W)stvf3K<1HUlPxH2q&I5k8Tu^O@vd#pB(#&(%VMVcKl`xHq_V7D71?-({F38}`W3T|@AlUr30Ll@Yk#bRN_S+je
zyRM=rqt33Y=vB=~$JzB)gUM-o&aPv*JiC58&`O?N7f-WucKz6m)!OKg*lsJsNpRsO
zgxsyLA`MeB?p_#lK`U^2{U9B@>_So)wE^P}g?-%3%YaIEp{*p(0g{`eoo$aoPLZFZ
zA+)FG<`j9JGFxS6ISA4Y`o!-10eR%Urhr~OEVuuI}#`mCq&@AL4xbF_Mj
zYc5*-EWo`7(dwH444S5|gJw%|h*0Zi5wjuG`Uc2ep@lX>P+;j@11IhtE10-LuIVn1VIRGZ14wTA7Ae@L^ciqzh|SmM&~S
zfCEm<6t`s#p(fl2Gv0)fGW=f)K<@x*`DphJCP>-Mky6%|yf=XQG^iu>0|)iji>ka2
zAL+Y&B>-9S-M$D_BSdAt+T>tuRLIG|XlrJ&vTnFuAE%5cZhvk``bp+s^!FGvO}8#G
z5Wa1;YI=89L!0)A0-Da=Esz2KGnYtPmUQS`N`y@39*O8&@^h#h9zEP%Vze6Bxol23
z**ULUDV*9nneO1snB*TtDoXynttaHvDl4l72LDHtkVy@4TEZPpt)RWfsl{^X)GmjV
zEYhhJPqX9HE)#y>Siluw{T?@VtbpVCB-4=rL~^d`Vu_-fm#d%JR*N~?DL|}Z?&#As
zgmyA#?kEs0pT{WH0ZlPa&cja3jRU%y#kbBbXNq0UDYdi!9&iY;jRn5p7QXJeo@T!J8R_ODHEaWnExa4@YI;1+3E1`?g4at
z%a&L!J-i+EQXZaonjH`C$W4`&T(yMjIpASBz}Gw6?dxSB74Z5FAnzdy(&7K@k*%XV
z!F+)>UBV|k0LWX+C)`&xObTLAz6mqnH%qL{|@}^>?fvp=KRDx0Pi07
ziBAVG%1@M}5Wd1*#AMb_TyZ8`FPb}YBk~(mAkTHH+NjV~quP;+`9uqE@@&MYFL@Rr
zrYsciX>BVZ6?8l^rQ>Y+Ttm=IpwIR9h*3X@J@0e%J-a%AZaHz(JXoa}>aC+W*!ETf
z)=oyUwlA3o=r%b=*zLga^0}gF&z+;!1RzV!(W{_p1dmpUlRc#u$=h4Gzj7@h!i#!0
zgLsd-{*P$7rCc*TKscsb
z!eDt8)UjMnw@wG1$pv-sG&|F+HR!{S)+fr<+EBB)1u|ionYN4o5XwZfd~5ruoo8DH
zpaPSvCmYVV0nstndQt{^HPy3(H#<4eZ
zGtt`5&D+lNtQ5`MJnJGry9e{EmjW0y&yti7^Mgx>#q2!m<)=4W)d|cB2cEcOQVCV5
zgkd0MSYXFEfy#7=mf6ejv%E>=Ls&9eEklm4N<;hcBh|*p)I_5^TAkAGT5y?1d8{(p
zsMm0<9so<2OJJG5EMi8XZSC}LKL}~HOJ0xE>`PutL{(;$pCfJ~^%5e`PDNlgr-<)?
zW&)>(??R0FNn!aZ;yGn2c4eeqYk{H1dv9@F0B*vniKrD*N@>@qCSsbZwGqgU2p46I
zRK~}f%DVO#suq%Vj{$?ceKJzs`jY<@zzmwWA~OO#k9UZwJ)gLKD*#!VxPAkwMo7*s
zBIapO#Igv!yC-l~HO)vd$Uey6X1biQ@heud<~skYpi$=x^(PEAYMuW+zMfj=M~X(V
z-|s`xI=`|x%0l`-BF9sWRhq#L$MX+>u5XToO&wV2O&q=wLL%$3iX(xDeFXWE10
zRP4;$xSabME~n9-jw!NJEOQ>`O2E1Y9_RA_jPf`oA%wdzNDO8@&O^?Gm3`<6of(oE
z1d*xP<$SiD7SUu3+wMy?5(>)t@c!Ah5k*0-k(6Gu>7HE)%>=q<(}+<&2{-Sa9kRi}
zL-fq#EJ8cT^&U-F6o5|C4bBnTW8r$p7BJ4GK1K$e`M_e0ePe#M{7
z`W%Bx5hqAsV>&;>(3sQt`3!@Fa(-^%>nZ04DHp|NzaK-+kJ4yme*7Pi^P|kBW~9UU
zxgF5;IX_q~ou5bXX?V#FJ0#+1cATG8=s{qB_z>jR4RC#yc6NOflmd=VzcD~6a0B9@
zI+~Af-POch`9AhbZH~l5VAp*?$vR%N5OVZtCk>%JIai*KB81ED*^!7NCq}Sfs}BgZ
z?IP=D6RQaJ%JgrWTu*_{W``T^HI9ckJ}{30sqmmqF^$wh>sGO4^rw=GmmQ1kqhnqB#GOU^4d
zXfajUCG(Xgjj&1yG?rB}Q)__R>VA_=h*v*}KkwD8ChGtjDXoUc;&CA`SG~k*Y{Vgc
z+sn(`E1+!yT`Zt~+nu4fPWJO}F9-hs-cCV+rJ%HI}pr6_VN{n)pKEP#$Gii>9(
z%dHHSNb1KH3gh&8rfLCyDS0!%_7ghuVW;eQAW07>apvyOr3W(%*W_t)H9>(9
zsyTdmeIl`WI?WIf=}q1`igutIH!7;~-g@AH&HoHQlDzb@2CGHnQO#
zq>Kyy23Ytb>_A5kC}VX53x5zm9bzF;r^hUeJW%*HfB`l^f(3|)4z%hA90)lxCf|eua3}Sz|jmI%9UTk*Hf-M(l3hHevgFqPLwVyi{t-@
z+!$psH9H+{%;|uxZ|?-lr5kfOK8d{(@iaSb%!$>B$$FzTG*M}eRqI3Yp5D$rjkxVM
z4PNe$-OdHGfSdDF8Y*322M}>YTWzg;ThCT@70AjfUrWk-*)O%d5?;`CKycIB?rf82
z6JYF4uw>WjujVE_n2QQ>TgA-q=dMK={+xw2E#9bmCA|)t79k#CN|)pf2rTcY?WA}o
zn3GsLKbbOX>&GsG`C9tI?!*V6-RzLz-TZm4;{(&X$ZY<+E3i6k{x~TzXSo8MOz#-B
zlj555I%4Gp#Y$Zjy#m{GnUUQ(rfv
zu9n#3hloR8@_j-@jXbvInbIf+%Q?zQ=oFu^g9P=yn^LbU$Jg9fqUAI5l_rs}(!Yhq
zvPzwyirQ-W72?%T=7-;EI#SuA(tzaZ;5jh3h&?BKSbwg%#vU^HNOB0nmDy}cjS+Pv
zePMTGF&H&pN6a;=yP+qxLq!W`^92yFf%)wwS>#yjwYQsgG5V@TN$Z`BbsvK@2&LM7
zdNNbBfYX^A1hD-CB9BuOD7XEjOPt$Jx^(|eyw`MTcdP>HjBre+!s|$iW$Y&c1e_*1
zDByv7R7)jI2RxV!nN>e7fhC0)$;gxGjuV7(z+3m6lt`yu~DC(
z6Bp>SQn3=H2!9+egX$6Q#D+q0yP<#H~3J3fiIuy~rCx$qH_<8>KG7;=E3
zl!~lzuy-(pQDDYTe*uwvEms0vYGW)_#o?_dS}mn5+5YX&35LkQ*FSL4S$yd9Pp2Y
zkIPwien7@r68yC${Dr6ystNhSZsh=1D`#X|Y46>fniLCR&53fO^}?xo3%2rKfnLlB
zX5*brUuJ3G_mURYn#L}M-nw|QSeC2asGoL!j&k+quxx)2ad7x>J~=2p2J&OqnV2-3$aKsME=$GA@J6xUdG2`|)X58z7?_&nRx0u0>B@eq=>4GJ)@j@(l
zawnh8#h|?%l@+_3Wj6B`ALtmUeaxFLJ_sIi_Hn`YF^}NKF>k4>l`fbk8!yDXeOzw0
zi*dW#6&262uWfdn=<2ACUB`(Jg4wm+1>eUmg1;905j|~KB&HgwL-fn;$0e?Ix?q@W
zz7WF>>^viKv27n$b=6mQq22XKSJ!;!5{@O?uwq5OX!9v-5Bn$cK
zv@e&=DU;uU+dfADV0-4~_?=_GQVesuaX$czd$1e#3FH*TfJq{Vot=A;9wGZ;XPpO2
z2=eBGQ4#S~nrdQZ9Jz)tSUMGw8Go|55X>+x51%x5Pxt((9SyQl&2A6eifC(2|
z?{m4{JnJ1mty;=+THL(@
z@#-gK>9DVsJemt8A4nd{y)$k-Xow|=(g0l9DfZkh!4)r*lF2IOG{Jzv`c!LjswIR9
zE(e<~L8v<(_e)o>p!&#I#Z?zB^q~Jvt86S!jknevyJig;@B7Rk_kfj=Uo)gKmw!J4
zb)7qR4+$X7ojX~??%e4E^Z>+hlj*`fo}qM5Y#vk9TqKVS4@(vUY(GJ0r%n?jw^OG}
zoI7>8bYw0hMq88ioHPgK3j1f8tIp$^+A(;LkxyJ5`Xi_!0DnMK^(!WvBf<6NR5Q<#
zzvo;v)ry!pVngd?nk8bxXB{KUep#e#^%DdTr*g`oqRM$bgC(+vl=EDss;QjG0Z=)7
z2P?S{s{08-%BcyGQ%+stR8CzwIwwM-MWH=6?STei598GHX$(Un)$=cEc``jBt=~YT
z3QQqk>_hhqyszeDWu&^XIs!ZF_1YlbZdDzXcU(2ss`0V3R8~HE>B^cBwN3COy~S(*j_SRdadld*eI>&O
zzhaQ3c$om=v=p+4w-o;K-tT0vG%UqUOw}Tm;#~mSPY|*cnjkq#p-Y^WLYEFG{*@T%
zO&3ht;opG9VoRpRCWkIERwnjbvBFY|6)U#BY2FSn@rD0r;MvWpkfI^RpD$&g`#tIs
zH0?lXY`?!-2u&&lD&2qWO{A3fU;7U$;U6d_JqhKcXQ`n0Lwo^Bsw#n^8g))-&=0Aw
zy3%=5_^4WiMy2A4mxuzWH`PT2rbn!!-U>ygAE?auh^PpKR_{Tn=@Av19!a@%flzSx
zHJFmO{Vxi$|5_$0FLAsJ_fkfcBgcr9B89S^T3vt%l`Z!T&kC!%W2?k5Um_E)_En-aP^#>YLO^}>1)g?}2s!I=MSe-gd
zTurc22-P&4ycqwOA!4K$KUM5BrG5_PrjW1b+MZ2~@+4fVir329N7n=PsEz}s_!dBd
zB=~3n#3{kDh?ii$JMe4llLgrGO0kwE~D!
zEo2d^77LM3%CgHJHl8;!cp8fFW~OQp#dtfw_LGDZLz5(@7`nu%7`pVlo(qpAXuJ2Y
zK^YPAIAy$wVN|3tzQ?sMR~mqQhjF>$JXQfesDaDMm@fs?PJRIU6fy`BRBi-k&gI4o
z>g;H_RUQySj*3x-izP-X&E?up#antoMPc2#RG-8zo21wiWw8}f8LhTpD`a>^1hm6c
zovwk-j9%_NL(*Y)q2{Gf;yV~Z`X!c>_;vxrsl>8~S7Ic!R$}qP#`C8Po`w?tn5kMs
zi5~>mev*(9Ym(%YSeH1JSeIUZ$#x-gnhWji1R*dNNTWD&aT_BNk>=tOJNm+FC~%)s
z=k&(ne^yN97!(vmqU%+u7HePeQ8?KBxyC>wyA@Q>$fBajia@
z!PC&{HB8kaT74|Q4$^8(lAKoS5~o({(x>OOI!Zt^o7+VpfgT}NaeA~r!-Sk3c_)I&
zBXXc*A0RG&MIQ9>8O<+rT6urZ|rU}pz-Du%NIAB6Lj8R7J#)b$owNf(8e&}o)8q4adseU+?lb81j
z#H*hyONY=|W74opnVNLZ>kJwrZ~=0Y#n8;6VQO7yF(G}SSt~rJcQNRjeoq7HI>TB2
zK>%?sBgi6$Cub+3(do$nh$9#IzcN@Nktt&C6HHapy^RfLy#)#I8<<(XJh=tj#3WA;
zS{l>@$t@!266Yd@*D2i~PJNhzFwP#6Z
zej9)!>DjNKYJ{F09hG!O*id~^p{s9GE_U@f@Ob_qHjg=L+?PBNKtAFzlCQ@+j+{A{
zpnHKf^&q4~xJ~VtwFS+j!%BfU>iCIfqcEh$GB}%dC;7iX;_yh_&L{*Kqazv2LX*#=8#+o3{Jbc+%q?|K^B;y9%lOAHq-&-mGoeq`eLBAIaGBvW9B^dD*aXa
ziaDF7+C<3BR`+(WR5{wtGTV5(PIsx>nQKavi%tM_XG>?N?ADjGwfeMV_CamnhBhqkmvsp;?++U
zu&WvN23Uc`*)>Xr3<4^TIyddp2{kjrUQqI*Z~Aa|0{+e!_7j2z&Kb5Wa`>)MGwdfb
zSR#>WhP^LS)%0{@XV?bZ3ZSnD!*pA`eyW&Z
zKQ7qk)obNiqX-AO)(?uRJ)2=)!0^@3v-6;8gq|G}G{aT~Tsp+sEO+;D%E#`$2R4sl
zCnHh?^d;p03eqGSDcEB+M^3U|5`Zk3)oYLv;byhtjJfb6`z;L4rs+vmLFHagvhxO-
z?9m$;%;d=3m%NUzrz`oxykAYd8tzbyn)_XOC_BC@pU$?2~x`KXxwV;uqte{mU
zv8wI#CEe}t{u$_z^=G~F
zoYBD3u*wzPeB|J?%Jp5+ri6}a$uk|=Pwh2Wt#!!=bQt{6GX9D1NBg%2b1PW$e8PNA
za#?Lg@d(Rh)kM7dNwqpG7sThXdb%1=(tUedo|G?Q%8?L64F4*&*zkI$^XA<8GN|iZ
zYr?R7082;d`0>_!&;8-M%M)I5j{Pu^ORcJ_Ax4^;45n
zh~ClPuprdGRWAVE(N&p16jiy=PhDQOgnYm`R$Rhn)H
zRt{~{BAS|@Xzg(8(r(Upnv_8HOGN#Fc6n}Tl
zv*nGy=))+dBK!lba>9CMvIHiu074B#Nbeg+8S+SZy-}LZyfV$45m?H!b=R{N%u@h0|WW{L=mPllZ
z`#71YYP!6!OEG640gR=XJV9vEsR@#sbm|hPGptKHgmq}O^u&E23{z9RuA+$h7+^?d
zII1YZfsX1vqAEZ23ru@(O#qUlXD@=P5qdTl6!!r}Mi^ARk{5jO3~5!e2&2k
zU7Rrxs$2PbYJ!SXj}j5D)lpF%YM_pqpepxB3xQ*TD#-1L^1yOALHz?hi6{^8G&>X2
z)y+z42-7ZAMBb&&GgKYeahN->!-i8}a+=WQsSR*oQ>6|lG-igXo68LyX|S@ixjs(U
z@lKSRGNfZ=sWwIL8e?^O8lk@%;XahnPWSQdZa1o&)9h<)FU73yNpQDRX9E}#;IWH_
z&~D5{fJe5M`B~-#vp{Y^%}hMVZdN;@h8+~*r~uAf=B>?-!-1Mvx7Ry?UF!J2^pi6o
z2nUPmc6i8+wCd{UfmH;!>)$rkPj?{U#d@vdgGj7*Qp!WDvEo@4K%saKIE!Z+--{j1
zd+|MAk}dRt<53rUUla?$kBeeyxLWBVibXcwd1MI?p`Eq;a&coJmMV70A2vT;K28w)I8J=u)k+tfkc}7O#7=4ycd=pt6e?bb
zXPX(ncXb2ab!5hG#RtL6SnyQGVB=#3!H;9co~~B9V1{hG5Hl7_N6N*Dc_WGu@MN=L
zg{uQTHXJTK2xi0aF8Dq+5d1hcoZ)Jv3pU8c3$bAr!;f|GVv#6U{GeYpPljB*@$ux+
zIG#+n;QM$&@GYJ!;;*{B($!8ET#?O3a)qx>`xvQ@pBw~4o})TcF$7Z@H33oMTr;JO0av&_!!@@9D`FC!pt6m+xh_RREb_uZN4p?iki5yb^HhS-T;
z%&H*xNPMFvlK3E^F&Z^O6jXdB1_dAZX^cih#Tfn0Id!UT)xCAA>UQ_^toh{UI^A8b
zQ>RXy`qw$9s>bM6Q2nC+A-dqdQQ1oOhnE|b2zEb|9RsM=DVtf>>s6C2ejjuhY#M)!
ze+n4N1{P>DNaOKtCblPzihn|x2#YxVN2F_jr%;ZgqIksV-NrT)!cM2*jkof|^xW_t
zu-QRWk5Hiea7gc$D62c9_hcE8SAsy^=tcNi4QUZn3ZM|C
zX5djtcsK(eVv_xgILD
zNqUYat3FBNy&-eBKO;ULvb!0=lazb?q^@xn!)QwVM4!!pc%FxDt&5>Nb-&OShc~#@
zleH6`P88!Q2w6t)34TC|Rq?6Rqug^y4M)q95#SltSxikF=V4(%HE|jkT%*$XM7^A-
z2l#1L+^10~k5<(qgP=kP?&fL=kMZ`eJe0d91Z#*lQYBUmA(FfrVhMFtP9XlK#*B2?
zhdh*OQ|SGkter^o-$UJQrm&V!Ovy;JO0i0`N-d#82MxPoR4cp;$T_xDOwRA{Ft(ta
zpNgjJw4l>(fQO5Txz{TGV-M->F=avjAyr}(bdl5zLEm$gd(qYeeUT??CxX5d>UJ}Q
z1zj;EBj_r{D(EWpcog)2VNb+7v;+t_wo**UzweQhfJ1qy+vV_U^U{S*&t3yS&~Q?qGFzoFI~t+yxZPS@J49?IQ=%98$as>CYkBB>ja
z{zea_nxx<1$=ZpezZvRwGleBxF(o7ED#a@4D)j`yErH{n$acI_CmPnpaP~lfHBSbEWA8b6wkzW^uvSp;-E>!h4vLsKitF2vj0V@
z#47tDsT;EY0}rK|>_6to+KKG{2h{Cm3d_D?N=EioidFVi>X|6}?TSG%7dom2<_6MJ
zY;HX0VSmB7aXL92wWl7>1$WB~@MapBGdckW)oJ4jCU5fJ)FvnEBkBgx)H#6w59Z2}
z8#B8{pQpspREc#;h$Qcn*wgng>uDZ3wFz;uCu=7Y;tZ(U%@UpviY1u|p;D|9LZz01
z2R@Ph@G>Ck*itc3@Aoh^BkE2wu{@gog#b%2hq9yRDlks@qr#}%t!Eiu9ME+RVSgd=
z)#F~%&H<6enwp&)!FQj>wP`+s7Xods;PfwV-3n{s_S#G}v2MfdYr?<{)2^dB67lJ%
z8jz?zOG#AzkyVfsicx=M09$$Nk*!@G`+~<9-V;D9%fP#k6X7zjSem3QdJ=}0lGQMg
zP4D9#S~}2iqPZX?_fZcOa+p8t&nJ%}Am_R~%<{SkMuqaL$g){`LDy9h
zm@ZE0oQEPnCw1tP^Q4ZuPkdeM+rJ0DMQ^mzXmM~hp{s-|DAY#-%W=Ba_&J(R!mYtZ9+d$slT+dfM7i^yrIfq=J{@3{TH(7^{zh
zi=A)CQpv+agZe6R8zdortM{8-FI69uKg2Hp79u-J)#Or)zRHf#3SD8ST)_HIYC6)A
zSH%i~V!!kYF)FImf-~p)k{7LIijjh^(tVft-Q>V_)femC7}cLupD?6Y^5HSiN(mq0
z8?YK0E_GqA8XZurh8UUzyxdJdycB}M0RTRf>o~)0}!j^cg;^$hF
z)8s43>8{q221GfI?V?`hUOC=<828T#FB+-7xY{BnG!59J^6&;#%+xVURWw1Jf5hAoQGR)s(hn-I|1LLyxPaoUS(NTS)3pFkk)N{N(#fLrU^
zYd5|FI4);f`~hr2SOm4GM4LiO=ufB>E_58cRCHx2emk@x0^0VTo?ByCMsVSNJ!FD@
z{+*=;V=-6?G77qPS3HNc?nB=u;qtLv@yDTPYcKc#4L%^uq9I#+&h~O+YS*peUC6gV
zDG_Rjk{5p%YYp!{QcjkP-9T7TMAB=w&N`e`@Yrko5ai=aR^EXhVXc5AsV3#1wfg)C
z^qOOgm|Az(nkJ*3BcV{##=1xmr7GiZVCxVx$3#eA;M)!l#ARC#Owf|*c+6-=PH13*
zQtxKLl91GWRM%~Y=f8jefp~t3p9qi9ryRt?6ywt0F6vn+!-Jy|2{xKHO)UdA;cMso
zY2L~*xk!kiSUw(U^~pL)*~_|?3QFX%EWfG|CY`YFY9V9(;g##~mp~}?Ql(n8qF`;S
z45aqJG?h(3fPn0r
zw#@flDsZ$y*7fa>kJt4}@MC&i-zZf_B-Az>_P7CJ!kbZ(?OH-}S{sUX
zm;OO{Y(hURWUTKzfPeswHZg%Z+A=KaNC5#!oMfQGFwuIN6d$gtM8|`MqWaY45ez{n
zH|8WlQ2XW9QrRpk3;wD`k`TgQIfpUiR+BfX8d}pmLko(fxJ1YM!FFCj=;c}7h>f0k
zmB$jwMk(f1Bw7L*aYZ(hX@3u0PHR}_r5GQu6wnoF>fVUEDZ5GUzS>w@sLmv#l|(OM
z_TUQ^f}B10oTY%b2PV3=W#?0~i44W>gN8agH5(3hTFX-ND*wc6LSY8`+zu4Ci+y5R
z@5uP_3*<1Lm=#PQ9d-xugO-!{6|g^+Vh)oRrgc33uZr$-LRQxGk;LVholZ+3D{StV
zc$gva7qwF~O!4EHPL$los!pdF$kA9EPufIhs;(P~o;MUdA8tRdkJYANEfjlZJqSf?
zkkip7$*j+t+{b!4tUG~z3xkv37Gwo`q9UpUns`c7O2IRcWWYXVjdA8E;LyYw9!ilO
zKL2>CC##O(ik^Qw6Y6#|h2u@Q=Xy8euj~z`C$T^++L+?hRUV?X{)I6$eoSlaq*QAo
z;jL}^!a&Ttc?Hxn47
zckdw2TT461KpwUjiUm(&4)aXq^xdjbcMF2Y7uZ3O~E@R
zq=vRv;m|k4$&^)?40_S=>H@&>m9edKk{mzt9R`d|9?>+Vxp4FBa4hC;_jJ)MPOP#1
ziYl>cERp2ZSl;-!dp&e&5_pd%YbP`8qfob-C9JO$OES|yrC6tdO5MIjB^&s7`np(YUKz51QMQIcl;5UFwncjl(lPj{4N>_MmxWOmVIbP
zv+SRFO=A|$fr~x843tIHz-K(!7FQdMn$_}jWhkmlG%FEZi=#~a9o3NtR7ceS&zA#}
zbcyn9{rlr(0c_>5N49o(>cWV
zLT)ce7oO`OLoT=H`18p)A!J^mk#?&YjuYAgr)5wG2C6Z3P03A`8cRzc4&gY*jlP&J
z{8BrhW5O>*pE7R!jy`3m>q?x^
zadKmQF5GqFaGIqfh_qrUb6FBW+DUyrZ73uU1xWwQmu)e8N-0b-SVFO
zwW7bc_blmq{9ddkdM%V|*N!A3c(83$#TdcUYXKy4)ona%UN_phlp8H&JKrk($Wm&89c+&>1=6l=
zEVZpc>0k?M&vd>02&)#x3h9=CyTiyEkfArV`~EQwOh-<+A6jbA4RNN(8L;35qfoZ^s4`E{0FHnXdY
zn(Vp2NlBud(k@ro@!8tC=Pf(cIiw-pvJ+Jet!6I)f@17~ILt1EUZ=I6)7^BDrGT#N
zQVz2VDf@gn%qkXwoINO83V3^9f_hu_eZkcUGa?bA_yTCCXAZOF+1ZuvGfRlfV4XEU
zbh}t5rsaryX0Jphv(HTMffV{$WXS^h%-(=xr51aAFma7!3&QJ>)BzsEu3dE6YoFOY
zo(}6KhQENk39LX?um$@4REgCBEs_i**QU?xa~?{O9`>2t@5!n|tfD@%2ayTdouOH#
zunn4f9_%ywo`-0ye_>2@`pkYF-rD1ytU5R2MYM2j9q0Dff8MdI~(ELRPgoAu$cYDSPg@_#he@$6`_k3m>JR|F#oUE}v(G5=ofp;MdB&-P^PWQJV{b-P)@`bx1RGYwRVbsDJDPP|>o@Zcd|x;%IVonD^|AeIO5$z75fON-Ns
zfSAMSh3UerwBK6zM2E5HQ^u`CHk=|(FKI~z@{~KlWQN!2bp+BxPOl>sb@VAiU00l5
z%I!qQOLw&fa_n3pxoViW68Bc?g+=W`su?;;T=0Or+|V;o?B#s?H@N*vXyM_~n5xJd|buh|G`
z+r3u!m^{j%>G42>#ZI<_w2a|tHI!@D@FbmV*fy$ubh0h%WF>3Y8Xiio%Wd8d%Fi+-
z(oSzI_}w`uzZ07fF1YZM;-=`|g2R`x&J{Z-f0LyK-M(iErU6!3P_(!!ZW>Ann;FVp
z2M6VM193$m@gN{_(7h4zv4gIGAJY!Hq4OO_<+rl?IDJ^YSRo}h@jH-${`hT7h!k)q
z&Z1rn*?M8Z7+rEuiE+@6oYsJUl%h8a1|66G2oNAJ&`0qTAvF4wgMnf}aVN*+S1U}h
zW2Vxm!CeN92%uvWdJ&HFblDEVfRwZ1LZ+kLSfH;254(<8zNkvIt}hDdr2P88oXVGF
z8v%okp~`nvCyGOrgaPq)uo@Gpv<}SDEEIb-K}|%$E|0ru3cxNl%G$;*;pffbCxCKu
zanMjpLR1E|d=AQWidwL3iCPv!9to^G$YbXPEAti~bi_Kbm`ELNf|QQpgO0_j+lvo6
z9*TAbN>*BG(3cid?hH_}4vH2BC5J#M0ZLG`+K3NYI4MLK2*DudK|aPHEAV3)gG^J9
zkO~ljGd^%1EV3mX1;>{lC;H=ym?3f=d9l#Ktb(LQ;pCnN_$u^7Qe&o2si
z8FW3Z)tym8J1qrtC7z0VdJ$!x&$y>MEd)7xaGRxow+H6F#+IGqo)TG#Z-j<=7WZ^m
z&OFNxeo83Kpt&)iyj?U$5K`RM_zC1R2R{jBkggj?zARwy)0dE}lzBxTQAE7#N%{hk
zI>00OI~)A;V^4>5zxn-;H^EHE3JxXsAyooa+w6q_BFTWMZ3aK>x!ylC9L}=HlU2u$
zMT4J~Lfvkra4-S)JUIC2C=b!dZ|+|hQ=P$2Yru4_Nn`-jVmtf#M;oPI;jOVc1TUJDHD5`pP4ewStx^_9u1g?96y6V!n2>3!A}o}Ioqw^r_Tm-ozc#H
z$X5^A(So1O$qRnUwJlih4Cu6)M65ck2}JAPQ=;Xw8Nda_0sLhlK>l`F2nq&K{dWMd
zEDXOyPJ|0XqAD#~HAj0Mc%mEab)XV0K~%Z0V?PfWa^2m>pHBu+A@d52v|HbB5Y@kc
zX3+JXQ#hrUPVTnUSXzRp2+%o#s4!i)=*|Zo2p1iF%DCvrG*l#rN}Ah&JmrEhnc)qh
zx&mpUAgU`Bb@VAiT~~srl=JYSsrH?RvTQe;hqA7Aorf`SEljL*=i#_2)kCwX>}t1e
z6PQz-DDFH=7!dEkYVw?i3C$_zp-NCI7&#AL;if6Td1#}o7tX_5fpXJ{gSd)Ao)V%m
z=B6@~YuDT)L!Pj0RMZ&q)H}D08bbELjPlqmob&L#Oo6n`8>?|=mkZp3Rk!Cn{4kDA
z%H&ooqUnQ{8g!$bDR%~P_#_l9?mT=aloEz86s_Ibd6^d{csp%m$1Z`*4;S#>~J)SLKvWP)~;LY66Po#&nhdlT>W5UuqujHym<
z;>W{V`v*@}otyD{A#(@b#6sM3c@w|pAv(iNklu_NMai|*jiOTL&6|iV=(e2vB?r1g
z-ozILbep}2bCmUW&zrd9u4_iHSVN9)6^UPE7(2^JML0
zh7Ca7ZkDjVQY^_#1C?T(1}e1^KcHHLJM|_aHN~dPZ;DPC=PZ=o#2W%?Wk(VM3C{*!
zdJ{*)ob8r3af?UpP(&H+Y(lr-N8?l5(A
zBsKF?0Iyjfkk?%nh=QKQR|OEug3&@wgbPNZHZ2-9N0YwQLrn+j(c)Rmg&=SCkReC<
z4gP%6vxv+qG}3O}!=A;>pe1x2=oC)rS(IBaHI^37B7r-HXA#qd@9wM6G2vOHPZ{4G
z*^7#J7Nsp7$W#6qlNnym;&+fH@+^K=QAeLL)OE+Rc+pgCrdFOfzYdSJ%+w%^qQJ4l
zblFZki|M-B^(_7dxE3Z>x@YlMs#NRdqQ??zf`g-ygTCX5nf&Rlcgxeb|0yn3l&U|g
zK2gyZ0m+cZVChI067PrAq&dAnJ)U>GzEAXZIrd`X)NWv0-PSC|Nt&Bwq8YCXX;L;f@Pc%-@v25l(omQ`$nD
zqpwyq>}HHKeWgoCdk~9EZ=;@Yxc-*2mH=B({$_ITz0mjcI_C5(zROZTpVBGs=-UFb
zvu`mOiukQKDs=30TjtH%>d`NTE7YP*yQ(YU-?8xTc=%V^w2PKWehai!9I~}m*u^vd
zoMJ+72FA6Z1MR}Nn3iaAF+PMGWEZ302|=k>A$#)9DQZaS)T=9Ey{e^`yQnT+)8n-W
zmqvV8a}-`gpHWLuyTz51#g8DN@CXId8@wpQe}*N*6C>YHoekRiOWwfdT1k<0bM4ss
z{~VeWyX#-zC%X8DK4o^-q=yHX+>Dh$mrg`kd_9pw!a$SOLsd
zzx2zk^_O7I^s7>>-G@yb--)zF^-8Erb4t674GBl$A*{wUHmGre)hQWqRT{q-c;%E3@fF`&F^yXJxDk_)bBR4Oj-$)QRKh)W$siPZK#
zx$;`5cUOq=5u%3DSb3&A6irmh=Vq$)sgs6JU)!wBRMt$FN4J%?R+?*@
zqqXU|wal5d+s0;qiCG5ymuBglDO=?1(IXp73?nq>V%>UpuPvnbqc7l
zZCn`9Ww$W;k&wuTfs9+oY5s19x$TZ2n@gi!VR
z+1lu~XsQBte>P{WvY1*hP}9INbr{|D=BIckEf7p%J5)?5%x*WtG&yCX--Q_)Bzk{-}T
zdAc?R*Qg?YquFUP`!e%k5Crp^SW$UuPE@4q!3#}BGO~Ayk$rv9k&SQ15=ULK7{nss
zwC7MxH_qbxHME;XJ-RZ%m4<^5-;E>=Fh=a!S)3L^v8YtKZ0M3fxMsIep4&W8+g2Hj
z)~t!H0n0xnv)q6sx1={GG4jEya)MN1MFB@jed=^}ujbl_GOFR{m2|2|&~A
zU4bGgHqN*ldkCN`vCJ$grB;}K^U#B>@);hk`ZXC}meE>k(PdKI!6zl`wCVa`cw^u9
zWYt%yq6db41a-Ul%mMfoX0{d$sqPJ>y0_=){^?PWmzSu_08gY0ed@+pIn>>qwKg=LM0>f(~wmuL*xtp1bP{5j#xpXtfk34fnajK820GKWQ!
zwy+)+QK{GWUV$o(w-%srSUj=sI)KmL*@3XpX|7Lr)Dj9MpXT})Wp$tCdZFC1M*Xmvix5wFVr#uoo2gDl&F!_BQM^XJegkBmsrQXE
zX2J9X$aJ(a97WG6!v*uS9!}T6CRMwkBH&PJ^-2r|yj&zdsG%Z7euGEi-5P;cu?AIQ
zUByI_v7dr=VF@#rn#I60Ig{zLN#!d&RB9UJk3CsCnZkbxb-NkD%MJHhU%OjR8A?Gy{>eYYoTC%pY&G2YtLqY^`_dQ_<|K=n9}(^0Xv
zHQz0P;=^7QQ+##LAZ8SwQi!}Oi-J8&6=Dx7Q%yL;2a5!(
z3$>}yMy1?@2Sz}aZzxa93fl#KlM4}51MiuL`xzo=!YGucX=HB01}Z}Tha{YH&N&!n
z3|7~uIoC9PhVR2bp{j$rRa(Ce{$nqWP2(H;tNnC_$$>L}G>30FSbBY1R$h;md9oJJ
zQ_}-`>_OQ%kS{(2>JC~1_9Y@fPg%8*N}WS(v><|#EJ3XWBm#68@s*f%Q)$diKWwXYk)($j5BwL5nd1NfMi^6DX&`+9d3!6
zps41SSd7is3>MqVjj3I?#`i#jv1v&YP6^dBBuktel7`iTfWk=+g;?s}u`>gDsT!4v
z|5M|p*tjI?e(Tuq;e-KLp3R+%g*6q3zg>`VGW<~raBnG%a@mx=dZjFAWdACl->mXP
zD?nqPCg7?z<5xwKa}rWS4I8(YLy^}8(DEZ8P=fK!+T*WghHE^afiH>%Mgp>KfjmHV
zMu+SJ;ygRjsEz6>WXWaZj%M)5-xT-auZp_9jDLc{Zc!i~N)sSu^H2!)sYy||?ixUz
z2p|&s0r^$X>RoA$Hfke)E(M;gfd}0O01D@x)eCt+8H@)%O
zF$h3F1I(bDx|JPpDjE-~K@PCDH)f~$ny`w&@o5m#8IZB@a#O7)WTHna4w~qn1u+Y2
z#$+=fA?Z+(J|Rx%!-j?15T-g9c_NUQ5jfk8LItX08m#|~2m(%V8>}See^HN;@n0s!
ze}DWF3Y7Gf;JCc;|G!Gd(2V9-LLB-D72wn4Sq?U~kvhzBG1W0Jfuc_Y@&I@;CQ={^
z3=2aeu+%{dpkqMq1O9?RMdMt3syqUMA{7I?CM=yiLwzH&;vl4ktuT;bsxk_wq}-@M
zIaDAcsP-s+L9Ae~){wCf#S$VNz%mDl3xbtL0lMH;RmsQyM?FsD=O`gR{q4%npeaA?
z2Gy^lQ>&ZRYE{afz8BVn{4@6=9RltFq9+xlg6=b$ll()2tyT6KOC-iaQDZ2YKKsOB
zX}r}Ay)VnqAi_^FzpG)Oz2`a3F$g&bzd_ZIInmXF0R1fM>Gb!0u-%e-uhy~@^Jq6-
zG9$g0P#$5fIb1KSCBU|uznMII4salC@ODO~Uuh|zn_^Ni(3etnlio!Q3$6Sk&W{y~gh_k3({zupYd6u$#MLh-
zu4=}yH6W0JiHM~%k3X@nv}66yjuQt>R`M2a$NFfjQQkh)H{Pg2NKRz}!;iyE7EGXAntg`eAXx4o&>X*f~7)^N}zl;&Li6r#XP^wfJlEkCDMj(q_vM4KskS`
z%kY0dCFx~YU$M|y%f1k74@^)iTKnlDp>^2&-AmzsOPVCnhvx}g(k?-=-?q_@cbOs!
zmL{vvqPfYiH(SLPN(Txq)K^$^l|F0zrAhQ|InT1PnZLf`B7z5$A4O>vX9W^<*MqYH
zN1y4R030{d4_SdyUhZHn#9!26>ctutKb~Fo+_9DCke-c7ylbj~ITwv~Dzs80lMN9}
zHK@2{j3w%6)@o*Se*pYG!_#d&2;}oHG|5pZ)Ce4jatc)f8X+6sFOqC=GDg_ovQ)3-
zw9ovmCIHR$%RJO0jU2&#i6^TbEmJf={|czv%_xqTRE)|5J*yOJ9F0nS+BLAu`6NN{
zs1=kQ6g1Ya8>4*Fv_C%4!%pNp2NtiTtZw0NHKNk^L>;1q!G>9%su-q4aS8@(K$N4Y
zW<;YrR)g~`FdG0PjLm|9y9^Kj{e6HKhoej36if~7kBl&1jqH$3zzh&}EUa67V3h>x
zIb;x%s!@hmb}}0OTx>KzL^H}u@DWn1%1fpGAu6wVo3x6#t@&*S)Ft+)
zn7Z8Q8Nh<-@`7nrmqXF|v(BDA>+IUpI9@k1mpYPhEnbZqU0R#kR^Q&-R*RF8JxP^V)tpG`hMHS`mLJM7Dp=;p+R4N^1nPD(h1DGQ
z+)#7Qa}=vRRBI|OkgErnVk9+M`e!xAXgN7EoQ%^wSv%qL+4IKdt36Z~=W}vAh2yA_
zA57kkg*RRHWbK5vI*Y02pL=v$Mm;+LvOFy^
z6j19IVCM)V~$5zhp6Ks>bqhkP2#&e(t};+eeXLUt8d?%7$#dc
z@z=Yq4o4VIC_{>b!4QteRT@*^ubzvVGhhj%sJ=4VG^gkK=)fU`Gr`$+uovRV
zL4ds5quO``A33xE;vFhy3`z+9)Fp}Sxz)FNwV-JAYN_9riXT!oq>o`gLtXQ61Z}_w
z-kT}}Q{jf_(Vc%m=lpxycQwGRS$RgMw**+&;hZpF`00=D2@ph{Ehvaxo-GBRw|Xpq
zSe`ZCLBa4?i?msDILJ9}an{3)B5LCczlnKVvfv|-G|OSqUwbI*U{w&!1wor%5*0w9
zZKoy@?L9gu+kYk2q_>uz?FM{Rz+5pw4AcN9idf>dw~XsS#;em0mD+
zA-+Ic`t+1AXKvmu2}^+Ej_*-eyu|H~7sB|7+aKvu=JrR5`{4Jz+P?X5H9JgeQxNq{
zG1vuO&`Ouh4NPghsP}g(4y!Kli&T!VnDyzNz|FM~bG{kE_l87pFy2tvgqSdn9&huG
z%FQsOVe2OQ-m7@!_C{4|x8P&)62?9ni$yq)_KT^Erc@uSH&h1P5Sefxp2W(sfjGx_
z293A#%k@x;eN-7rjg2^xR3a#8?H99uF9VX&-a%(v$xcfF-JO^UzIYL3H-mJR5bYMa
zwFID1?k-rr;vr*udiG81?KtW>n;+bxt*GK}A
z)pwKX&svCZQvDfA0Wa103zL)}j>oaipLxE!vUOluvF1nOB=lt>ah?N==|UvVPm#ZT
zndL$+NEEGd9T0@ef%RT^4e_o!4-PstH$>`s_WT=#hj9%T=bC(a6!>D^(
zYS3qr<1p$9D5@Ps<)=<;z8n2G>aT#2!tskjCXS=}yNxK8LEBOxA^!9no=T8abE
ziu@W&lOQ>xwd6(RQtkk!s-@J_Bi@HzPXjgyn0h*XqD#u@Qw~gx1+|@AQa;GK1W*0@
zkm}La+scP!(R`qK;{pKHgetmw+ksOLNwJ_*8{5$)6uk9a}jc4#B544o*V
zX(^!VJ_!pB5@EXa!0e17ti7La6u~hr$@De#H>y#-4m%+)10tRU9qj^$cmwi_LBs-2
z0m2ZM06hzeA?{)V<^e-|0IO~fLwpE_siP-k{?1Z^K95WpG>mB4MQohprJ(MJsc4~fkPy=zR1RqWlJlv4vG|5wxm43vZW?w!DVY3c7~R%
z3H(IM7JbTFwgk1EEL+FpRRMDW2Z;Oa>lPKy-}LTSfQ5@m@~vDOSf>dF>==r+oejsS
zD$~ug*U?$!p-3Kk*$giORT`T|AiQ}Dqy6N*IMMq{xJ@z5_?tP){)nZiea(N1s-d;O
zY&D?Un+%eoAdzUqjhVkH}(>
z4yN5CbDOjaEZUYL^8=Pvon+oE+6_Gr{7<&}T?c}>emF^z90*<{dWCFWpQ8T@w))#R
z3@n;8RbfHyFQI8^L$oc-sg#!j_M*QSah@KNSdmJZ_Dxei!$-ev|v6S2zPs
zOwE8ZZS}XoebH=3+*fBX(~FU9NDi^BTymD!6U}LJjjiLZfxDvEz>V1IcMTlZZwwp+
zUX9C6(Py&{)3!F+7(CH*!NK!qXRBwjsK>iNm-J>kx1SDu^7nHIZJGVti-6WH?B`yG
zVid974njGwbtoBDPqaT`61+KYCD&r
zPX-mgAL&w*LaDACroC`SR7zgYf$%1{#|*GE--LBez4W=y>QN_(>ej>iy|
zmQloyX#7GX$UE5#Cj6qO*Ln=$n;@_CEbRkS39JO!v$P_~*n9)G0q>iyjOcF!F{%1b
z=14u}p&2Aeo}m4XC#!BGE_#CY{~|kn0(|~saRG9cJ$zP%c@Tb9W{-3IqR5AV0{MHW
zRhXnys#8RgSEo>bIV%%Ou=xu-RBBpeqbF-8^1KD=b~A*v2=_W%i`?L$TI*mS
zN0WnJ%+}-wH63UzeMNZFFY{#WgtxaA3sC^59^3YEGVj|nFSR-BVbv8q+16zCCb
zt(YD;&%@k;dgK#eG>A%5b%;#g3YQw)09Rh({RgQ7yy6U3q+hU`;m4T*d%|s=LdC$b
zDS9iX4-Qprodwher>fvLP(dTW*LpNQ+knfG_=@n-`V)YV!3baV!3&-%eRAK11>ieg
z@;MQ0gWA&#TUD9I7VXtp^E+WNxTQMk{)0=Fls9P)w)nUU{?Uz5Bh0axyf
z^E*_k7->cGiir5PaDZ^EvVNW3f@q;e(4^k;9V0vi=yoB@@W)$>_XOyPa253C*VRP+9OTF
zBN&xFx)F|Vi-U8q@IVUOGBH=5rCa32>iFmi+#ZKdxX`-^yfsqKEXc<%h9YNk03_PO9pbna
zTg*P|Q4yKN%;|}cS3-R%z!||ef1qR36D=wq5WidaExL6j)U}=&j9ur;ZLWc=KJRUE
z)c3lTPk|*}yXjSVUQ;)_%C(U$cSR#)dU0$H_ras#JK)9eX4Hgd!{H*SS-9%;gc9Cj
zKRh`!NKfFw{x_Wi*73e=xCw?kJ;BxrR!~uH+t45`@svbwWXUHKr{J-xOKVNMDYh@c
z5~a%U)?vI1e+r766VX$Pl4t{~zzat7e%l}+huYK_++9BdNP`|;;!QccsKh{&A44Z9
zE<+0Yp!3)ZAQ*P@@N_Ib*QL0o^?V2)0GxqW+7OydKy^*T4_dt!!Q*W;s0|*PlP{`Q
z@!d&$o(tbt0-E661zDi4Bso3~4>8OP4)^ud$nRCz3N--R6b*Q17yOpo$~#eq9@5ie
z3}6zj!CPN6KKRzta8#4Fh$cMV-Y5D3!^salcrVbt?jwK?SFavhy*etbCiyYw5)!pq
zT^1~R_Ir`qT|`Ql+>=*ce?Oi$7k_tE1RD#DJNK5*1eMN}MPsSxf$ae+4d1WVq^#+!
z1x3lg`p&8QwDzt{PQ#*5YwAxIADOQoBx#4|X^<4ftpJMu1Q$g`(~9fv1VuHd?gIS1
zB5K0bkGs>_mJIQAchFGrjg`M2soid*)U10KKfq6}`_+)OhEkoY2#{M8VW9R0{$x2o9bjM?;Z!2e8AK
zBl)$*8zGRhwP^J&+$jDOUVlh-h&UUo&=T&&JpsaWDQqQxD&8;SR&-#B1ak5-wQ@
z&u{J1+JCG*Is;GVZXN-l*{0#0>%I=#>~qdJM?Bz0*HcBc$!UB@mk&_(VJaM%n~Tnl
zrlyA{w>D~H8`o_(Whgpv!|9tSl`PNUexy=M5T
z*L<>BGkn!+hOc_f@KvuFzUno@*V8s_5(7F7b^;O<+VzX^T(@Z`+IZqHFzv+QGh{{-
znqhI670L|ui5UFSM##fs9}Pv(y5aRFuRr<3^(URW3B-r%j6f*XpR`FAAyv`FbwEf7
zo(&y}`0?KAir)*loJ}wU`mn-ReOTeEKCJLn7Z{Mt-wXNfDCBDCAZ&FAtQ+a&vb7iM
z|6Rs8QhAPexmaJ!y^2Bk+pAW_out;9h~_9rp@oHRWG1@Y034V!)uzciX@T`jI=WWC@T!
zgWpEy+Xu4O3mll{tHj*d1XFgO>BKxC*Ug-#YG~~~j5hBdSe|7eZ=sA!^7!zWc@MMW
zMA;_jd3xSEkMBRvQb0d=C$$4#kM|tPZr(Cb^l|iAOOs9-ueTH^NMl=%qyMR;T_>Tp
z3hsp7g>Z+he%FCwuHQUR?0y{mUA8vbI8ZE_Hr092F=+QbgiqM|a4Z-C2?!x)*B^QDY<@4Qw6LcQ>>By9j^WE#72`(9UK72wxw~MY@@MKEs
za0LF)agkO6FX#>to(0CO;sw>h86ONpgZ1Gc{1a*~Agkv&G}hF^1GsQcPJADSTn;<&
zy%Omfh?!C-)s++9&rhBB)_mj936Y8mP=+?~COvqv=>vI%MZ6zA9-Exnhq1NA+r?i3
zWGfX!`fi|SczB^lFzpX{t>?hcqDs;>QrZoOByT94e(0M?)qhgLMs;4}p&8XNACtb)
zlT{D!DtZq5xyTOf9C(&J96ZN72oIi{^iZvJFp$6d8zLr`i`1_smv0Iu;zmzaoy&0z
zG8Z`ay%Vyx&*i8j`Z@lyb^`v9yWxxgX0Q|FRLW{N3Sp>_$tt3ybqc&{K3#9tlH9mS^16i_MFDWFo1!71Pxe8r!ZH!FxZ)>}-(f9jDIR3!yO{MzKy
zV|^OK{>l?1pfI!9Sr1Z@G*s3
z!kd1HCu=9XeOWQy+E!F0idJ=^QlHWBJWKRV=XHTXLduFMq;ot2QBWcMDCk~|bEl^p
z^&PcIh{cAGoDu3rbIw`
zUn7EeXIZUHO}0E&aD3RqZ?{rlP5D8p#HuMpl2=n&j&m_YwWKH^CD8Dorw5vX`K%{v
zC$szuP`8^|tU;M0;TrTY57k-+1GycnL4O(E^b?+}o$&To#dvGeph`ro8dRl@_COUR
zfW6g|=0Fc)|8zZUJYUy3Xv-EuJ#7(h>H!<~H-1kDr-^seADETqKaznG`g)A~(kWq+
zA9{CJv@Y(RN=&HiYOMzC!a8l?qNa@vE^5Cg^br@=b&-pUhLg(UAMKT5c-o|1T?yOM
zW8vTN@UOH9
zsiN}KcXKTng~9M`K>4iO792N^-CEoH|2?3C*$If8f@pF&tA=N|B0NVn!A219x>sgq
z8&mi@2G*e;0f7e{0Z}+aJ9P%>JBE|WGB=lM70Sb6!s3fH>(FpeO60nTxmV
zP>L;cTk9)Ti=wDonVlqJF_ZQTGM`BY^g13~t&`oVu`?dMv5P!fLXxX>k$>on!n?aj
z;U+$2sm?YEXy2__r4&zVo*S}o)Tyv(4Y(c{=~INPtx*wnSzGVR$L;B&THXg3zbWRC
ziurl~v8=Vff&vn*wO0s5tQ~Nr!?a}0ELk=+fMoW>9En^Lf&b|tumfz&?FH>Ten4a(
zjd*4yMWaZx_vrvN2SoQx_V4*Dx2$y1yL8J1`so+)$2`M=K!=4K<))C3J6o5>38YV6
zNo3|Y!II1B5Y#WN=lo5vKVAo{hxt8>e?kKTff$bPuB
zW@=8_HnvymO+16oH`!CB?QpFqUR^T|Xa&vyKry`MrU^y+nzJKKxSwvO23OIQC*j2+
z06_?C;EGW^V?I4QGlQqp0qRVm{i7U-s1Y)e%+f)7E!L1i$|XB?V+xZYI!6rASw)6O
zkKMpCGIFTeI&AW6LBPdD2*{U_exTuCh$>MBUhZx4XbGGz5l2hdVn!zlMmKM?9VKy{
zK@r8Zqb8cPP+Dmtgtg=Og!O}c8{tgLdOTVHj)nE7z_v%YL4T+FfTH%AgZF@lIr#6z
zyGqq1wB}p~mx87g(j`wdbixT&((4wJu#>65At$L3(3%Mb
zQP2SB&Jr7)4U)Nq$|UoqD#UiYh}i1$=4s}<(Pb8&gr^fxd<+WgzDWH6?DBw)Tao#f>SW)hg
z4q+3h-Y-`@7%W&hO4SGD4=p|tDUQ2|=}e^6K_$Xz3h#l6WvM<%?V0)A6qvU<)nmwU
ziZ`noTDL6hxfL-2^m_1qc=5u`yJ$6Qt+4ZuIFx#~aS3Im6!TPtmH_)7{${fBUfbL|
z))9#QAxi<>o+{T?K3(y5l)bal6%SdOj9oN7Xem&T#_lhDTmcS28BJZY=n
z71hu68&Um>-KQ(|y2yf{z&384OlTd9w|K&7>dj49HD|7$r48GyxOW62A@0sZ)23c6
zItJ~Yu83@Xa0$!+6$n0EF>I^fH4a?AF%FK?6=&J%Z(|HZvjxY%pPf%vBsw(yTM*3N
zoUT}rJzYT>w6(NR8HdB5yW%-;xuG1!@E7DTp)&0WithlbyKuN-6i15>R|rPX(StW2
zPeKk?oSYo4D8of_XeJQ&7Vg$Vn}a%JfzA`SN|)}!l`Ca?h1D7mUk}6sm+JT@)Rux9
zj@@M0Bu-B-@jW@@@iH9kutOdJkj@F^bs7$b}O0mXv
zsMIyr$S^L=;h8TJid(IM1wn~mo4OLoUrA71R-wdg9v0(hu+#lDl+_(;ek#P8(;aqd
zGVl{0N{0^7U8pb@Am~=cYTG74>CtR`TXLuyd
zJ^VZ;PN7Pyb3!C_V@_P^p;TJ|F7{;YWKLWTb-S6ubAo#w9ywX@P_1<^kgLIwlQ)Dn
z-SlMbgtt42@fHLwqi>WbTJ?=eJvtqGZce(y+uZWy1kHlA>Y61^1@cTMfjrYm%>--i
zNEHnVzw<9P3VxFYneS$HmhcInXx?vIfeJZpbogmJL{k8lWCWWT<>CyU8;b?uh
zxgBn77t#9k#3rmm*gL$jUSKeIgAyK$5s!b`)*N3T|3e<$yEQB?I}cJN)@4T|bz|B2
zzK2pxD}UFMwG-9&1E|~06kc|?=i$rF9+&v10b|WTt_CkV2Zc9%fG2AwygeA|F2Gyc
zvZF-Ny6mXbv0kWxMCrDA(;h4w*h6CpG!~BiA!J|br)0g@NBx#iOv}WnFdlkk?nRN8
zi8KW;N+L|ZE4nbDu&cFtIkyZCJ773Iso{io`)a=?v=R3%>Js-BgVIl`ZqZj8y$0A>
zvIW)&1$XE)m)frpb$?ihI*wenjP2pMi;-%tm7mAb4?kY`tVg|Pwu8&xC-JN_n&zRVFHv
z_+*@VaAjj{6Gh?Sdv|Cj#js{NpnwTzUhfm3ubDFl_)1I?`v*}hWQ3&)ekE*a_o%?z
z3P~~_75K|kA<$AQ=$JsJ@7mNm6b}t#Gk_4Mt258|9JpnR&cQ@`?5F>nG(;2ho)m>a
z$~R31bZc2^z>;RNN#33u0BTSTc+!u)cziwsTc6lPZ8-#sAv@}8N!1^cr_j*
zKPIgc4<7Ck4{W=w^ng269hr>Z2-Nsg2rcbuLCrkZa4@Sukg?VOCt%v!Tx+Qh8_7@NC=!FC}Y^A
z%dt9;_9|P>7secTCOyJxm?0d@Y^@|L>yE&)`(Qy9foGRO$3);6eaZj2Lzlw)fI3?m2?nn_B6xwFG%u6
znC+`|K)MKx-^>Xy4ouD8GK55yji?%0H!WCX8M8VYRkkd}Fk(q6oUG{Ow=bp{X0Gqf
zsHZtg0Y_-iEM+%C$l40edX1%BC!v2XS{~Hn@)n&f#Rxu`!t)ke{jRVeuHOg?@`PvI
zZEK^A&>+#YseOu$LA&8u_uKm53eWmvw*~DHB#ion{SfyAk@hbIDTfm8SAxSGI
z1592(G%z
zL#Za~@9<>RWj$^{<^sW0?}6-Yrm(DY&%-@>pYTwvbuf^t!5+Pb!khlQCu=9X{c5cR#Z>Nj#78TH7$`++W(YoxY)ZPSkB#T#X+5>QnJv5fUP6A2(B2`(?GLfbLM(KAV
zkR(mFx#YGHNb>eBaW5y3BtvhpK$5>NL>&X3bek}?`9UIy^ylZXNUR?(3EOwvu*Xr6D2*l9VWG*8)j?6wq~cto{H8*kb_F0!cP%fh1SMNeMiS
zNyjovwV@cUCBc`kqFQuT6c5oWN!zP6h%|xw4&cmP1IkY0sfwwsed2Uc9WS`B52
zmeBX4TCxruTBrjIx6>^{2lnD&NUBeM3Za#TPotH-CzTPcr7qEWVjE(TXpDABTR7mH
z_~cRl?|=!#vmPf@muG#!u!<{SYP
z;6Tw_5XdfjsDPz_hWQ2ld@^tXIag?yokAu9C#0L8P~e30*QkNC1Wq(yfoVAcCoo+E
zPTU3^6M+--X?_AHPJ>8@MzgY69^T&!*KIXwI|5=ThU_sE_WC*qr#ORMb@qx&6b?3o
zXDL-5_<7{)yT~i-bx22fUa~on?uKE}5xcp%g@j(bSJlwEbpb*z@|ci~!Z>7ZK8A5GEtmW3u~
zC%$1RP_PqiMVS23(yo)xp9%JbMwl$UBD?U#uE++i--vARM3@|6Yom?m2GMl>qF@yy
ze|C;;NalL{G2mfuq8pBKs?7XAhlJQnpu;~a1pIgV=ArzRsdYMq%QYoR8u#;2#5kO`Um)@P)NgWrM-!f7jPepdqKA{(_o92
zW*6KqF|)l=f!i*(*ZFGS=1??IDc^v%{=)Ic7gieeKD=I70)%L5qXI86i5HHHWmiR(
z^sK#P2(J@E_}rpH7(WL~9CgWJ82^NK@jaSF9?&!1Cg?W_^j%SIlqV~|8+9eL{*xk>
z;CKw}25t?uB8da6KDrhevYgg-c|8wZM8a#j9snXQ(zWO_jE{D2wY~eDp9mfR*~wTtjj!|
z%uH5imC}>5BR~bPO&76Hps{a^vif10dTfl_ORVtnMLHvlOXtQ7`-s5xtxJyPS%FX7kif$y0
zw;&~$ET}tPQAeLL)V=d-aN#nahpo1I;PjYF>tmIPs6_OjLI!ix3_PMVJvR*g^~&I`
z)*1)}+6ePkbM8GIm=vbw
z+5TDm5|~KNRHa&5Ql5*eMgOmuTMM^aH`fjiuT?azMUJeUM25i=E*mf%Om$#if`v$4`m^d2hB(RoK4$bcz7(q=ihiXi
zTEc|lNo5F}7T?U)|Ipofyc8S`@m}zMRvMnnp&{N+_fs60mIUa4KxPHTLu&*{dWM_=u%s%~@t<5(42!a$-Yw2n#
zM^~pbPfm^aNZdKf#>-IJYC0Ap<$Jmf31G0-55^Vg*9&EER1h
zEfKbQ05YU!YAJp@a8}qV_nw|xL$sS~DQ@66p6Px|4Z47uf?;5_uR+lkyf{2gPlU=v
z+h(2GUT#e7x;4HBNBkpDO4x=`?&1$4t+I1S7ugSbC=57AX&9n2Kp?___y>>=TnLL`
zT>k+-k{?Th$-`I4eHAI_Ls@T%
zNHP?TSUOB^%3|o1ltlV$GIgDYN~DD^(Ol!ns%ws-ev}iTZZ|{N=%^TyF^s7ct6@x~
z9+Vwj#gUdJ5#}G3)gg91G!UAkKR(36DL6;MfM<~;&x{SY`jHT@-3M%&w?
zQ{fKY%_H!f>{z)mw^`lbZV4+R&>Vr=v|1m7UDF9EkWb0O_S#aLDXCNx@s0=KO0IfK
zL^x3`cUKAKUy(nd@5FN1pN$ynOISzR!wk5}
zq#EH?=~T2GY1Nq=e7!}eojZ}&S_$ZDCz=?${W-Fdd!8
z3gmqG0z@RRE?&y5R#^p@3YJpx6hDA;^~axO@}&MSC#5bcLSGLo!mmd#HddY~
zZyukWB7dkKVIJR9DhBP+!Y)q`$Ec_SaCv;PE*n*rjBi)
zWz<}|LICAfRYR-M6F_M&W0ycohFN?6R1N^xCY-coFc76B18C*cuO=gJ0XC$UIVY~X
z$x=XH7gM|1Xl`AlVwVnCO_0-{CH_XW(HD@0NGuDlGDYm>7RWT+dCuEG1);eYTl+4$^41dr3q
z)n}t>`38tT?_)JGF&Etcdt7v9ffo>B)3GAR)?jm9bZ%qoEZy#oH)}&4@eC$CpW2)q
z5zaYbHIh|=5Ag!fY0qSp28VLN=Q$i*1aGR&HfN&R10ISqn_xL0v-G8dPcy
z@{?~fc%~)gMk`Q4b)r?E5RBr}u@71lk57;H$7cmFh({3_)a6ku7(lowfLL~*Js&v{
zu8dEyYo6#u5xy3o*@E;@=Y5k!t$`8@Q&tU6k8}+b?+ux4u50pb$1ejzCS{kg6?qf{
zX{9M54EnJcc#twpi8On+_e6fB^8fKXc2cxgtV@eZDFR&`%HyJ%qNHcuIFDV-qo81?
z)AyZ;PW$!zHc!_yJ&%*F%Nkf**Y8YKQU)Ey*c
z|4KxFwy+}=nRMs6k)X{8IZ>YSX#?DRe?vomEN)wm>KDtZev{yA-*l
zau?$0V`)TC5^6Dg(kkExj>dFh_C^leK39{eus&I?P5CXJ$0W;a+Tuwy
zbYSW{Tr+hFYR2eK*0|Z1P^@O6_LCAvQtW2|4|T~iB`U<6dAh2hwXHYiOlD=)C%#m$
zgnDfnFpU($a;c}l1eae;E?o_MOz)DNw#v&b1@vuo%2s(vV0N}uCM=IHM(+2-R(W7r
z0Q3Fc34IwOwDw%;GWoXL>7(VSGe9AF>N+|=WlL(IA*Vb=WHnO+Z#rDsrz5z@}|I;3lWCEIUj
zx{L=;-^7rH7`{L#NCY<5z;0E1)dCwvz_^UQ?CiLwLJ6f(;Jvu~s>Yo(>EC#Ir~{3g
zA+OcO^lqvI^iVdOP$b!Km~p`Ouw)4m9cDI2dCpBYd-F+8Zx9u;mFeT2tU5v~8g}?;
zWRzxQ$}*0vOp0+CE0apGVmFn#x`2o%R<(+h0>yx>>8q_1G?5kRogU_DyAzx@fxDAk
zl+|yAlG_m}_`F$B{U^cyZ2*b9JNY$aEikp8mh35v-3iTWp2#HEUEZD?cCBAo@%H2p
zPgY&{xC?a2{PcaZQONJQjqPgLrmYI|ZZP>p6QCj$sB)=^Aw_xCVH6I_&v
zLW1j@HuChQT;Aj&>@LI`6bT@dkXkkVQ53Z{z<%JXmlX@f$a=4XR)3S#@(R1F;q
zMdE)~CksVtuac>(gKdizp^>S!gumnj{~l`Xm0ZMfQk5i=UTUOd)oewpTzrn65eO`QhuDJ
zpQ&Q3rT?V(LwfD=&{p79>T^ie08bhJR_Z#XS#)>(MM6weX!vmY2lC8gjjoU4q!>*=u$l0F1^ty`-{s1obeN+fx=R@#Y~Gz&63ktQaSBofm{xrOsEA+=5q^UFVJ@#&m&K&&5xKSLxII;MFyV?BKE@
zIKv4Sc=~PXD|2zGs-y#as;%*=x)ObAW-aUc8>GuAp88dZDJkpc150&5G*_|^5c*tI
zLu;xhAXM?e20oVx-dK>Qk#e|xBZi&=`d5B68Ff8$Grg)g0q3NpfQ}4OfU_2uodIXU
z^|%TpdjmKRP5@^z2)RHrAu$6quLP3205o5RJY%3KxIkd%YGgXpZ_bFaT$G``W
zt^uBpel&X{&7r0aWySnT#3d8{l*%wj&^F1>`y&uOlwU*inkd`SqhO6&m3mJaQw4dc
zP@T_t*r6k_H$h%2)V+@?u|i#uSSVWj)&TbL7$f_-JjMm1#qSCrmdE-X$cb>|lw4LfoXpM)R#HjM
zIPrrMB%unVFwe(49qB+vwyezutyuRGRiN1{3%*FRpeV?0Tdlu5k3Gyri048Z)uqgG
z>*|n|g=%(^+WFx;_RrdUu@TIyO`^Mgoqvy~U$_vmKENr~WqlA7eX-*CejvzN;9$sF
zKntuVhWO
z+^r>`8W8189=(}nlF1pTvHMO-0o_WLGIrkq0=?Q`EllG|rsFRmm-^!`GP9&AHw9dmSL8H?ZS;J8)1W?>
z4C?$FxF3VY0u9{XLAnNb4*Ct;aHkTermTHiN@4bNub6T&U0Ao}w@9;U%isJ)?Eq!>
zYYzi-SoHwpwVJelNtJ*;%?8GcB+F*Zyl40DWI;9AAQ!d#3`)>xfjelUe?ZyvdVnXZ
zj!28fWgHB3yIIEuZRSrAgZ63<-3SV~i-Fwt8nn+0Z}N0cR-LQy@sPQILHlgT-Y!?2
z2JNdoL>FgizPz%HFh7GS(4*m`ZSiF7g!Pq9Sno1t-{>Ja!+KCN8IyrhK-PVoN?k2g
zXMj3YqtGf+3f5U{t=KN_36Bm&7O)`$7oosi-XoN?YsTxl0>()iG$Ct&m2wad_aq}j
zPe|yOnIw1I%Eh2SiDVcH6oOH_7yD4iJbh09gQPi%vby)ud~12=C>AtNe?5R$9?h>H
zC&F=0zFtGcX8{5*pYzM8;iJXgA)`SZ!Sj*Rc}Tn{o@
z9{PuV2*t9o9I_UWjZ+ERDWj!4@l?a$qO}d)o?)nlZq_K}doVh<*??zo1G$OJ;46BFVA^F>R6B
zB^(CRqmwihr$+tAf=N=_w}R{*DYIFVCb9?pXH
z#eWGPmWTB-$cb=Vqn+871Dpwd<%E305vYZO5|1NiPuWzy<>^8PTFlmX&}#Axq6xQv
z*^7}yng!iJc3ar%&*!m!*|66vUSrsyx|9ifb#=%)di%Y=jlLFi^fF75=&I8&MYgoB
zd&W#t={T*rtOJ6q$ESH1uPOACA!~t|zn0K=Vm;0cd6n~d9s*u359l46ji2qwT0jCb
zX5%ZN?jVKnEFuClfEDYg)TdtLWoEM01!RT=4(rwzIKOaT=wX;9+$cGPgxlG=G!)C7
zzcf&|3$dYC8g!H(TMWgtxo{YYF+Fc<_1$k=3Xg|@$+Q6%(Sl)h8gEK~J5gZ!
z0KZi5Rj~4mI8!H{Qfm%Hv(sbnTN1C(jK*r?TdMpOecF+RBla~U&2{e5ujf*1vSjt%2n
zlh@p$ahUjt1^9n=CzVc!{~brYKmIo!e5v70wV+QZl$_qgz#8+VdK3xi*AgLZ%Lc6u
zpt6leeODYIE%_5@CeZr)Bcw=8Bq$YsQM)e;YQv-AHTjlxYZVz!X6o<=U#$*z34!Fp
zOM7F{7zpXqSY>K-Zu8bgdAcffd2oK!fdWnR$BQ{qb)CSi`$*WKAF#`2l71
z8&3-EwvU1C1&-qYaw2>jm(0wm<=Cl
zj?qd57MS|%3|;^<-l$wZi?bKKkyH+k98T6?-GY^-9EtUb#HGt84QB%S&l|7nJy~_>
zi_e41`F8)z#_I;i9wd5`L`2@kOQoLQ4R))^*Xl}juudX<#Wrs-_1CFaQgRa_Z!7R42`;klIznta>F+K=mrQF?DuHKtqS>Jsjv2s`m)|M5>oQ
z<)~gJ7j?VWN_FPI}Nduqcl-3XpyjIoFT1e)0
zrht=9#OGpvdZK`j%pddopv#2PjQ$-2%DbR{uY+o&{uRt1)ilK8?9;#NH2te&IIDiI
z;*$!A8LfChCCc$Q64xJ(F^v+xI+ZAzrs5N@gs>NtRR^8Lr0$jcfJ&6e6xF>qLX$%G
zz6d{&?xjz8x>u0fiS9j7QytCFIQLaP&C50A>)mEA^{%4Er**S4P_ZPVbC+isCvk%<
zNy#Ru+1Ijc*#$F1&AwXI&{{ZNcBW*LF2rxe-tiXGBaEDLN_!CoyUw~A9QR!E6&d><0kAOADcW|!a;J|)%qXIMh0
z)=#RA1*ula2T-j_P>QP7hoMQKTEB^(NVU?ZJk=`5?L@V%V<96iSJ>76$GH@%swY>i
z3i)*H>CH`^s<8y|eA%N!2c|n96rB~qo-EqeQb3<$(p7yB0DhR9dj)1^&vwG>cqx?ZjUwjrY#9;D
zRl^CD88!T4kd`i};Zu-p?A;cOAT|77EQ?k(T+&PpYo#96?&lA&GZZeTW?Otdj#qzt
zF8(QEWLTJ4MeIC>X$5v>{jh#FUh*=6xT6f*0s2phHKd51izAwvX!^W?(Uy_WS0h;i
zJOTVifzGua1-e2${b0XFU!3o0kU?rpAWHMNwNfY0EBb79XPc)xx)J@h!+K?XLVR^Vs{T
zn3oARRVmh}K$Uv55)pZd&=d;Ao|Z2sOna2LLjbYS*T@mKQc@
z^6-ZQ9_zw>vYHN{pSih}721*CvJ~|a_+@@q;!5iFTfkXe9!-Q3g8ROqYG_UO3inA?
z%scG+1#~XG8aZL#5Q1HqK9BTGUKmBUq5fGeq?5C}5Tujp
zRn0>SqtlnvT2FH!IL@8@(wUF$#p3Gvl3C7x}O22>Y`X2&3#hU(5m+e%_+VToH4?1)b6?)HoR{_
z-_q-i6U_aarGP&9Qef_@f!P_%C9ICWf?V$jnB#*+DdEb+atVzYEcY>>xeHis$!LP*
z1RDs4d>lDa1k05pc9&$q949D0io|juMb!L?4+cU(+aH8~3Sqegm`B9I1DMiYK)K^_
z6vLq0(~ztI7I{CEJKGB7ct{D!$#I8_6}XAsG|nLQDHXEVo$2X{j!E{1yjD1O8dYM2
zb0WzL=W_2OVKkSUt|XRLgeyF~(ZJlLo~)gKxvP*-8koy6j=`K_Tn5ak6f2lhsRK@N
zP|Rt$^T9;N8uf|phjk}=7^uNIoCJZeE()lXVV#`ugCoOSAfYz-3)Fi{rfa
zs2X|@jAH9*7V8xaxlXze{{!}>C-{kjQ7k>m#ZU>I84UFfpt}ng>dR0K?k(|*uV4iM
zfOqj2d%d7%UsaizZNT%Ga8Q?y=9U|9v}v3IuqW$)6~(b%3d6?tUB)Uq;K=XDT!at4
zC|K2DElR@UZzJ9P@gq#W)MloT>o^?yj;B=TKdj0!?i?WVaKh}Yk2K&xa&p!GOXqyz#=xzDOzbZ)@t;}L5-Nj+X~Ohz}ZqWFu=C{)WqiuGf(x9Av8*V
ze3Cz(biN|<3XQZAP|C|#q*{?m&|QcRl}N>}#?k`mo(1H(ARVR)NH>L_2-4A~`GIun
zrDknN&x_yvdc4(Gm#L@&K*#pFOqCWqcTgsiRD+fjb56Vh7~C0}d#S3S)tGmyou#9l
zgSn&!@oTU%Jpprv3D0J>L%CQkAv1&JZUVBqfaTr;)krKSI6+u$Cy%ff%RNJ2IlMDF
z56r147Qvk?a9|zRZ^++_wpHem!yKJgq@+ClFjC(i-@~1d%FK`G7Dk$h;~z*kKA(W@
zbI^kh+Ks{37AMt*)OGGc4BVuaS7T`bZpT2+T)+*}1#r6%KM`=F
zPxAxZ*2>kh8G01W9yOP$rUTHHTGbU@gvUzS8Qf)=Hu3hR6|KzgN^#K^<^{mk&fwbf
zRSi7|nagytbFh}sA5UOcdIHus3@zQAT&R{1nSpB00iwGA)m{qKNT??GK)~Tz9$ha~
zyU+#ISZt-iMVR4Sc&$sdDOr#I9Q)B9zlysf6`3Ej&42J(S_s$%*Gf1)pOEdX&`cm?
z`%9!~fMV#^s4~J`R;0>DciyR2`smI#
zWU5v2(dsI({qYA1%2|K>w*lk8Xb#6AaE*T>W$ikednkZdMsuHstObOo9W?iS4>jFI
zbFYNftZ42#9x^1Fd&HklqB&$Y^~S_z
z4lLuf(S)1xiPvs~W&-ir4y0&+W#5n2PQm+qXX-QM32lt=vg=9%?#oJ#b|p2~ZI)JJ
z-fFV~5R+CxG3k$Q4PYXJEo5Tg5nJAQhOq5F;(AmeoL7kk;pb
zTo=;9bb+)U$4_K8qfhgLw8(CTT9G$gew>wWH`A)=0A;0?VMUkSZf3Np+0FFd&55wz
zR+wqIk<%eZP4`wc^vG_eccu&IDxp6<61&n9bfwwN^zP(htAxl5wpt8CcL7_ihiW9Y
z5_}+RwS-64i>=O8*eZABW#NVQAEsu?wJC^JW0#i+x4KZ1lJWTINPmBPHg`iRFh2t8
zjlE1Ce8yiJ5{}O&{<;d93B+HQBSix|JN)=-@G^z06VxTg-a6t1N~n=-6(|G(Fj`Om
z`r|DD3}S4B3<_LypG{f2j;(GEAeOP!O^~&~Xcos-ul3N#^U$ZBU|ij%C4l#qznM(>6?8GZ1UZj>{@hYP4+Tyg
z{rqWQc0T%TQUH-Ffbu80|WmRNbUj*jH)mud}={(fneY_kRc%_
zKmQ+lUjip*Q6X;es#mX$_axy4(th-H@)j?7MN@i-8*FTAH^=LgrEGh>Gg(qIne;D=DS-0k>TXS*y#wPKb(9pfTGNH
zq-dYn9(j=Hs{zO|`@e*g2)EuxuUGze#%v2W@U?sIu}3CR$z!^XkCe8OgZv{8-nxlO
zZi33iiO_BVM5ubF+5%5~rwfT7%k_N^Zo)elPQL4}C+!2$zR!XZl$!6*dhpQ6~@*I1j2k
zc++i_)HNktP^HH>sHoJZ>#7Cg9759#o`0NsoQFi(IEO+KCCARz<#{^k??#0{6$QJ0B2!YVkU_v0H7)X%24g70M_T=U|j1mD5ZTpVGsD+A~kAEC!
zHYvg%=1V1=B+$2HM9_@3hb$`Hq#(>ehI6xfH0?L`>&zp%*n%Hgff@Wr3sC9BFOx=h
zkS3XwaRxtLZ}~urVjuS*
z$vE~Qh(NRP8;~9$v5(UsXaVWiFiD=;Wg^{X3Vq0)rd>ig+z#>GuaWP9vp;;6|rKVGJ~#
z7{<7qk4j?{qs8(-Y|dPGr5TkX6Y+=#dENE+e^A#N!}uuyvBoe&kvE31H*`@7Dm^RF
zBV&JH;wSMhARjx3=mDOpx-S-c_548q+f5LTODKZm;u5OF>ZPgDg-%v0;&k2hfE)-h
z&Qtp@k3?vm8j5qEr}ocOwQmuLi#%LLBza1@3aUov+!HXMpcL#fakZSjq6`|BMkg>J
zK}xEk%1?~_9uLkUw~cUew|6v#lPj^uQQ?TE2auD)5lGHH^E@&fu`K{u=6xF}5pHjb
zFG|Mvn8k>J$t(UwX(^eoS9q}2?NV|)RE`Kn6yp$NtzP0mO^oHk$u0hRG8Tb^@3WKy
z#UlPP07aIK_d(SN**MvZMO@IFnVP6Hnw`ofxE4#fVmu1x<5uQPltU>nIqK=JOv$-F
zpidl#_yS{+FZKHBE5MVjyV?W!C(+20ub7zeG;FxJ^nCX!&$1N@lHu4S@V;Dj=J=j6QPjk
z!|@72cWO@dUMOl>f)7L#>UL)5g;rn&AJPI;bn(k1(K*n;?6k-kd^pSUfj*_o1RowB
zSbe_8vzO94ITOB|o8ZHtWanu^ktBa%>>))k7kgL;2=^iOun{T7u?Il|nk*lONgpz5*YB*^ya?)m+il&Q)@KP4exi%3Ex1=;2
ze8Ay_&{$TpGL(>$pPLY`g)H&@fWsImaz5a|!mD;opcvF91dp>Z2ft;w-GjgGWh7A7
z8gtl5K&&wbQDkw~&3zM|n8SNLSfabYF^9W6Rdu&3HsX50@$H|yO5x13ccD+?Wa}lmSL^{14a?oz|kWq8cP_6?Vv>T{u-y#nW2O!BajEA6V
zgz}w^k%RT(G6%Mzu)>*%Hf*kMt2HW%NXb;pfsO-)eF@P9`qqp#^wRWj@+kH%D$elp
z0OE0+0g2aV4oAirj+zQKvqwPH2u>GX;a?nPDEvezCHbYJ9-MVclzbdW91&$GL?OsL
zjd(BiZ=yY}TWL9Gq6v33
zV!(lqHc?Tl_S~6T8}~`E(H=wqVoN}OIRG)~sTv`Fxd6mgfE^@i6NE%j078|X*$a7<
zx^;W{9L7a#U$>h6ak1(lsx~g7yhW*mvvnD`klw9y!rdQn;6hF-l=xc$7i57PfeS1b
zfs6M-$3)sAaYUdzzXcfnGWn?C`cP-f+-Qd;G|7ico2-%
zud_SIQV!CeeXT^7Mv6~m#L%2rg+wqut{`;l1BqaW$#b@I7`~YNs@xUWJ@BeU+nQ60
zMk|Xti{KJJv2o&zIstL)x@UHwM
zy=!MVj*gJzVQvXcGuyvoT3HY0P9ApyNMZ%(eggdeB>4X+@c)r(cA`mQJ0Jmo9k7rM
zKO7Nrq63s-?X2mrl52F?T0-Y<
zWU+_#;p8q{AG4vkX+x(~#T-{n*!s~v_w><9yH=YxcWtv#8?AKeTWigk4*$|VnS?!8
z6K#G!QQJ7PdBYTJ9GN&isR89QMZ_V19`XdyJo=s&sY^yn*
znaUJmNDfjEx)TF2B;-JiDZ1JYpLI0C%^9uPSvw3Ol**nxwg?ffY=mJSW3MdDU{SHj
zz{NoRY&gjos6ClJNEYj8?|H6l6rN1@Pq4vX4j)%_Ek}znB0{wce}w`6bOrzP4Ezgi
z@K3mif@F=d1A;snDtII$0!9n}l^VfNxWTPr>ALo{BB
z9|!8j(Z-VfxPt7D`fYaUHd~imjQQg@#=OM_-^Cb)AIF&Y*;?s=F{1HOjL|KVHcr`C
zbf{+IL{-TwONq(0f3$Vj#kRkXW82qk@Lg1zuzQK)oS3;vW+dt-NTpTDJwF0RM66;hoU=(P(ftFA
z-kjXi@M+|I*gXyZhOfI~nXC}=mQw$)lz;r9j}9^Z89y_=7`_P30HSOr@Yl@;tY9xOG%UhS!>
z3wCk{R1RMUPcDJ#Zi292D}v+%Ta{P^Ta}&^#BfcpgX)9qVGD7By~IP%NWtF1ahFuK
z*QyI0+coeCCfb;4Sa%BWtQ#2jN`?IkbQHGNAx+B0+RzsG3yLx`P0mAgd=ecBZo;Y&
zD$XM>K9O-CMNBgIFYxr*Ee5O?HxLl3UWlTydht3BmYQDN=BZjnFK!3eZi290D1zkl
zLX}wcLX|#yfWo2#pgYJ`KnJlmaXNUNhk21Yc)sRqiNIQ_jc7L!ZHs@r!xSZeC_9Z%IV>h=)8b`ylv
zO%WugZmPtpZmM)qs5B^Uc7s0wMZk9A6yYB{WQ|mWOSPC~ssc~NwNgB74U4POGjPtU
z1#VYIIa(_!u#5^Tu`o!TF;-bs+f;>VExfc2H%0`MwZV9&C`WoQJlzL(>?i_a)dNvf
zRu7hWu+;QmiKl8AJvakk2kC(#NKOw_iB%6&=~+FCgko>EcNm~4h)JBL9N{5+q^7JV
zO{t7*Y&NH8I)2%72mCO|g0g9<3LY0+(A0v-DXL7RIx$h_Lh)6-v8h>^n1Kp4gQsd4MfwcDc9Vn^
zNs%O{NUFrDNUHQ=w<1M}hhllRpHM-q5ZgGly4%B?oLV`fZplwXH0_%Kfj2%`f{|-|
z=Vo@F4rt{Zrd>LJf{`*qkd9~@W!Rej-gEpEPi
zC7c|hW7O+rVX?)(#4=IsRE5<5rS0+SRH%9c0P=G@_A_GjWjHx5fQZa#Bx0XA9eIZ6
z$pOeR$In4ZcotMNj%%lJ1ivAJAhMl&5sS42HWz-P7)b-d6&{>RSkGbE1cL%q+%NqS=$P0g
zO;3Z_C4FwY+5jj2Iyf5fB*Cu*1I2^Kuheb7FW28Il)^p%O30e
zK>GfkTBeHq88D~V>V@o?exriWeg44rOnV5BzfdAJ`)t~q8|o;fu!axBaS|t
z;z2{Y$|w5kNmm((7scryS6P}JX)oO$@tHz71}a`!T;;O>T~}&4EElfwbMT1{6w=dR
zT;;Pl5X0C3VnGA0O?&LmV1()G&2tJ20Z0TijL<
zy4TI2Tb!Yi?SNsdOPuy3c@cJMPF&*0dDy?R&>c?E&AG!3K)(;}@EZY)bcY2+$ZeTs
zj(gqVcZIvdik-XG75*KS1&dPhA@uK})v%bW9g
z48WFn@KFU_l9AxTa%J#nqPP~wU(VURSV8FSm_ujRpie(s-LxOc)!3yuadnT)y1Hh!
z3LV`P*_@+$At2ueN4E`Nq@ye7LC(oV%x$lu`;Kr&m;1bH-Q3?9e3kwtFF;-lCpR)n
zq!IT!xw}$NNs6vdrD%{Y?oMbX(8awKFXZs`lNv{X_t=?A(3~sz%69FV5{ZJlOQtxqTkAW_51A;z2{k
zbie4YC!Jd)UKFR@ekwb+(#S}==>CYETRFZdURs>n?*qCn=N8L_b9-P%I=A#R80U6L
z8xmdM$uYQrb-L}}?r?(LrPYCyaAYrFk46VKA`UNXpcO7yiXFvMJsSvJadR9#ZfL^}
z4!S2UfBD-2ql?nT&Ae5njvU*Qf%N4Z+v634Ze#F{txhkSJ3AIfLlGc1^JpBL0YP;V
z<0?066nNp($yo*8CvV}VhPYCumiZ_VCJS&(z~W>Szg^zydrZ17zdv@m?*f)?-P
zZ7;R8(!=#EqVZzGZxu6tb-tb@H4w>}fbiVR7!SAD*Wv|{6vf;;aUr1Ghk4@rkX5`t
zNKk=1{Ns=yAs4kQK4EBmts{=K)wjYf9z0Qva*r9A8fmKabZ^dS58m{q;BS<6B=;gl
z!^z(;V$v({&z9!i_!9;1Nh#RV9BF7>wFO(KU{6U~S`Ph{A`Fd|Ux3E423)skz+t&3
z{IiG`By+((#}>?#;;&peKQlH}Mm9|~tKzm5bPVtaB<$Rpl;+;)n^O(
zfVMj)KW_0U6wi3}Zys{!n;$+5bxlW^Pow;RfPlf?t1^oeK0Pi>YN9quD$u8$UXlM*VUH#3Sld)@wduqp9x~<&Eh<&8%V>$OtF@Ze!(EzF
z#fqi9Q4AmpbGAoN-O|GZ~a8>TJL;c!vj5O>b}aR4t>oZvxnE
zqOjg7qU7{em00ywmBRf)np0#G0maI$zb;5SLXMO68$E=~NxO3_l}9MQ9Wb17fEYc|
zz_8){V&wH6p$y8r^guwzIV}8bq^ieR)^^TZLX*1-TP?WH12QkIX^c0w;(^MIQ#DAq
zv~^>>A?8Ogz)O}3+W^!+)C#rHr?f!`4>@q%}l*1Bd
zKN8S&#o4i3#Mz&?4W4Kd2|W!a&VDAX>s6;Vj8DSMdK@R#0lAqL*`w{4V9@|oBIM5b
zrSs?s6EOKpd1}0SSV0}o5L=NFZ1M)K03z$6X+};$jtj0+5V~6j5>e;an1#5wn?uXj
zG;-CVt1w&BHTchI_|Fpj=T!V>DgHBt|2$_A
zB3z~rjI;K}B;tpG1lhQ)bGhdOmJci@C^=NzK>t3fZZ5nHZt?2#7UZ10`LsYUbn)t6
zZ19&uPm6LuG5om2tADe#(!=7FXgsy~*&AXqi&uhG{_4DVl`2niHy}JWi&qDkwxxL8
zD#b3hZuNS=w*1JK9JU=aN1kgZ0?@$o27C-zx4K%cTA?P3wJMCvs`LS4l`9~ux_xXOrwqm+r^X)3~jp9HP}X!DM>0o448Zzhkqij
z!5LI0$O5}d3>sz}!7~{Ave=m@Bw?8dmLXnnOk9W(d}TQ%9=|NMtwXDzn1gY8cC0Z`
zZMCYibm!rPkb!+_b_o=Z!^H?wb&TF~Q~=}l;)VpgJ)sJ>Cx|Q!F)Ic|Qi~TG!7mCLq?pp(yeO
z4i^|?lNe{-nwXD!Fvr<6F92NYsj5dfBF|VSH6)6bwjfU=4kRiff7~L)k-OUoh*j@I
zkyq~m0`~9sV5;fa-JYtto+Ue=a>PR02cWu}D6D6SC^5Ub4MLC8nt2|Qq0q8?qwqw@w_CwDzAimp87Ogo
zB=08Sd5n@}BYY^X@!J9Dy5j3tE`ncAL)KF8i=GA({8~0M4fi9}#K}x_YyCm6ldVCp
zES$n%SogUDi9+ksmpm>MiN0UPjzEFY!=C)Sd?7=!*$*v8Ko7~*k)|SFp!9?c#+Hl{
z#E0HCD+s%chKUh^i@n$+?Lab%eW9S^vw;yaA>rCP${GAS5`Ztko-mT#Jw48o6Hzu|5
zP8#GW1w#pT@~4RMaPmgRTv|(0w)Idab{lTKOUChwV@32wb=&z_!bVn734kaeGOhE7
znD{yFO8o#dDU9p~@rjHqJrx*PMmJ~9Gd+_io^`n#?~+UL(OgCneE
zch+<`$+dWgD;5h3?^77kQx3y-eggsq3x%joK2usWVd4rGZMyr_8l6_X*4~MB@RMEL
z&*>g*Gw|eYWsEvCO`)sq_E@8?+Nj~ii?Qk16%)tEfvts&1R5P8NjM%@?8Hy^c1M`z9}fOLVDi
z9%^=_9Fn2`3iHuAzUkN39({hbU2CtXtRVBa;@S(Pwq8pTI|9;JML0Vd-d>?^R5gQNVZ7)^?QLok=+X!sS7jal_o_p+rk?bgz%
z`o^Wxvz^IiJr1?9Lw`X4P2bdzjKfH6pa4L*$@q(1^*i9s5fECy-OHEnzz6wi?xA>;1DP>;v0
zkK$u)+(qLK3*MM|pfd^U6i-1SavD|lI$E44YnCl|GC(BPgzmn5h8m*OG~
zs)t`Eq)6grvM^+K;=u|+_sU)e*kX@E5);R@a*@y!&*XSSnMTSzx(80w+T$Bqwa!ed
z(cXF6PBn86Be!8Tfuh1B`oA@~a0VchHJ665I{>B}6V0vFdSj=U<)}GGatqBSa7t2b
zZLW28Cd&X=_W+3Q2oHN_f|jid(;{KhcP2cDi8;q`GUjPq?!OyFstqSLI;IYAG6c1H
z9c2kKnnZUG&FR2S9(S30r1l3QN@N3*mjD?g@0bro`D@Ugvo|jRfH$v%BJB)?4ZV@g
z4SkM=gN~2C>u9Cb-Xz}8)~K==h7^IQ^HD}YH)V*Y_X-|S_YHo*v
zT+_3Z(RqSH2r35E-3QC0T@pV`g_vc=_HLGD6ol?G2Vs_|1Ldt!ie~Z>#F!v1fhQ@;
z-6IMqYPUW1`X+f_2MvVUo8&yGoVrtad$SYEBkav{^fVZAGlt&9mfEcC!ZnR%sb_Se
z!{kU5b+8gbILk}t!%KG@SE
zY?`EOs%V&O>emp5LKiMwfnTRq;2X8=m8J+~>IukbO&$%Em=D3!s8z-D;u8%q^i(j!FuG-e)2Go?Hq@z<+dbmb13^7_(;Fo7OupO#D7w_oh(7w<<(mOm
zjJtf3r*SzN@buh9Ssn~6*tQ2u&m{mbW=c%b&V(7W
zzW^kJF?&BgkujsE0%OJ&qSr9usWHB?YkH1wN|>=#x*21fqO6!`ADmh}{oFq4E!Z&e
z!&H^~ndSDOF2sa=NDLs8Xkz?KCvUXO*wATis5K@+y|GgqGky(Rp)u<|X8@CaqhVA|*NV#`
z-B@a0j(}*4R$wbj=iDn=GqwDM?en$Da)xWXGZk?RSXev}2(gZ*DhP8!H8T!ykVy~W
z#(hsZY)UgtIY=li*z+28E*vtbhtzh_-2LScGU4g)Q`rm8&kL#o9)twgb+t<7BZm
z1#9vRibUXUI54!85x56$V-0RjXkdlBCkJrQIt6K7crmm-9Y
z>&H39bpTU5oHMDtR+bHgZL0zQtIh*QmZU=@c3J;3a
zf09r*`p~Mir<)Co>xgkd+fcDLVIczj^sGdX;y3^5l)sSS{aXq`cc4TxhxPqOwv1M;
z0z&aXs9)ifT(S~WU37WREt$R8KLK>J!?tcNGNbT+Q1!_@x(jI2MU#$$RHyV^7kdL5
zgoQa)?XrCMQ
z2G1nni5{9n#kY$3+lx{5}9BkXY&R7ccADnCKq
zk0~SPAnLagGa5N}IAttkh1?Ge^GJ4Ns}&KrqJd{I98a&e#G*LP!Ei^v*deaw
zU1dNhJx;!i7!N03WW>WKlhgQxm`r|7^;#Q1pRx`*(5_TlHEp15RGzwK^<`osfIegH
zK)?guR#qFOG>=yO?H|Cj_Ya8P|7)+k$0=yq`(hc_21_X-Fj!gyHf*r`Ip8Y>%SZ5u
z21|M>8Y~5~$_$pvU|n~jwy8QZ)d?Lhv-h9qI+Q{y9x|^Pz>ul8>l-x}+YuI8%Csm*
z2|A>=Bc@^cDgM1NXA4NoiM8AnBgniTS5V%O{B5%JJPRsLFW?-3OlYWitqs1*
z3t;%B7l6l8WJknaIkOj6+gj7w{On
zK~Ro>Xqp^>A;coY5x8Ito$#VLCT)g;T}ile75Ct?T;V{8K`)+y@_B5FN6;5oiv7tg
z*ayhH!(FkPCtbN@ocRF!LbwJuDmrMc!3CGo!5s?SiO#|e!=j6-r@3B^LI@s$(@YcP
z74!vG+UM7ZKEJxxKBGgB_PJPoHHSco3OEE7*$s0D-U0Xuhv1#~L=FKx6*&ZgMP(d<
zQE^dJs55Z9BP=Z-6*~gY8h|4p+w?gBm*_grUB2qV(aJTap1N8;-}iL79
zR6LOG0sgAmo4q%b(tC3N-t$5^Aifik1WR|Bha*!YW7-9%<@KwhFl
z&n7}Y4s3ykHPJ$`S&;biu$D3|`2sX#2~3~H$4i67&mNDC0%KBO-i>aSM1`UE24FE^
z=si7+OL}q`+D6Zm8Oc3B<36|vhviL%auEa@$wl}Z
zWO{wpeUi^~?gD&)cyl~q@5xdu`MT?l`MY|y5v
z<6DB@jaIgqAh!*zfkpBMP@Z%#@MU|Y@}xW
zpYEg5m*i9sS8xzU@K021{v)LQBsM4W$1XFdc^6X3z`IZ;Bo+BE@8ZeOr0_1z!zc1C
z=&8uN5a^cjF32woKECGiE(D}P@4|n!;5=QQ6<)Y4x8XZfAlruV-5B?^_pl(eFaK16
zLgW6koKg}p?mt~Y7|6IUJ3-5(rS3aT5luED&IHjoPdgGtYx^K~ss{#b#I>?w8zAM<
zx2Q3$1HfX&xR$5!%ot~*WvcMWI)K*iF^*}5)4$Jwoe?Y~V|6*SRy@W9oF$L|6j(4S
zX>Y>J*INMzVZPpmPh`I6sla???;yffbSG1@uJYC&Ku=xdWJRy|0@J@x*u7t2M^8EI
z`f`EkiR&OeB=`$3UOR3Rdu(R5rasD;(ez?dzZpGQ0U2ok1{7X{N&OCVYud23VT4lC
zD@f(FV!Ylaf10-Pejr`gh|1bBiMNb>N`2LxioKR~T9Pq$?^uR(X+_olon+u9OJ70u
zO@+Upe&!k&=Y6AT-;-}37@7yCcRd`SAuA@Q+8dMhKX79aa1WUc7jq(cOtHj}3prv=
z+73|Fxzvc??t`V$^AtbK9{mP-lr{Ix$nB%_LGb$R{F^NBU6EUc9~Zej+SW=Bkz3KY
zY1MRdD90b3;{K1Ig}xiDdvHd}ZCrtSg{38sywP8o96H0+x07HGbuL%lQScH}eT+T`
z=FoXI_%04H{5TG+wYAa%heYF%9P(G^AcR#rd%Y9*cy&vlGLvwdW2?4QnaT9Zz#oDn
znHR?4$jes-rdVZ%>*PN8u2&aFUI&bAvp+NEV*`0kp8y03Jtuu9!DBM_35sLR!8Z!N
z0Ax@fIStpjd$7DwP={*XDcD5-9KRH`GBLYXS)@GfR>7BBAm|pz6cWQ3za2hJufYku
z`uBSHO57@lav*LM+?P9tGRXJ-&b8A(f`JUn`oKCdP-^iqg1ev|FTy+@A1TtLg_S--
zcf;c{Qx!HSLY4&5K=2F4hE{615yoNCw6P}kH&!UAW(HR%6Vr_`92d;mE(oV=eI8N3v?Yiw64ZSs8(h43znDE&jq>m#}F|
z^@CS_5+jS2*A0EZ(=|Pvm1(iiMsZH9e<2`1!o4aZ8N)1!41*6O1yi0px{r2)&fd^9
z>5;&kq6iG-`m%hNQs&4kNJfB8Dtnw_1%F6R950;uduk=*a
zxP4H$hmQ6+v?HtV*o%tV&M~bi(_ZDL<>URrk`@Ql=c7DT
zF*n$E@rlCy^fZ`&`aw#l=+N}e?y)MeAu@4f$|v_-+u2zKo=!dkq$LfYcb^v!N_
zTwigS!LnF+_CX~-L9wP~%rrC)Lw$I5uwNs9pha&zME|JzYImSd>4^ROn_Wb3X9!D4
zkqjXiGh(k81cOFaB$X{AH|%IP4gv9c8zw#H4T;VYhLUJTe9%C0STIE`7Z&^}d{;Is
zh;5_l!ZPQsmPZN({hZaqn|0)@Oq5XB4o}*^;5g!wGE!wYDBaU#95Jq4Gt#&Qn-G!4
zkx)39Deol!A{#A;i$z{!fuP45OvyC-qNl^B=@d3J7I`*&C1Q~%d?FSZ-hEUJj#lpC
z@rC3SrNrZDQ1Egy)Z^gg6Y(({ye!N+HZ7NBgEN)ozfk5fnZ~wro%4o3_K#3g(c8oxIYU7a6brfRJ4*
zgp?}Ddl8K3<8+TKKwJz81*ImpKI+CU!27Y`Xzo^k-7|Ix<8^OiZG1njOl9WbIHL&s
zI`!M^(wCr1*+I>@UEy<<4|FS*S<%0rs+&73=8^7LaMlU{WBz60`y)&9PJF*_`5+SC
z{iTvyP&Uf|>-2?*_+BrJB=rCGg1BkzZT;khd8;7yx-dUdv@oAF9_jl0-$L(9cSm!?
zQ{-}v`0L=ivW_^mEgkXQ$9|HJb333W92QG@BYoxmJhxAtCH&Z$%+MO_n?D}pR-byC
zzWLb&zIkB#rjPz)Y)Y8pWtq|43oqlVue4}eoUeYa1%j?mrtliR`X%sbysy3#z7oDV
z%BS$vd)DCc_v);f*STmhQClbz>
zkcR^vnsg&!6To_r^LE{=TJA3mN7?se6XH3XOfb5^uKsT1y^-}v={@+h_gNrT*74Bw
z3k8|i-nSuL7qU~=x3%|m>^s5o`*d{{T;l23F@80+Uie_N=yL@KmaGc$2A4CCtmUN4
zy5^(2F1Bmxw-O$j2JG|@Lto-B?F5pE*L_}1K)?mbuhxqq!*oNtU~0|P`lAaeL7oqQ
zcGNI?^e#`25N}@Df4iruZd+ql_TLS#-NfVdAw|60`j9HIt`Diw#o=C!BP|VpLwe4;-361RE}8qe-x^_
z3Buy82$B?toPuOf_{_>8V;q9aaNuH&Iv}xaa!Twd8C2!{&c68`<-!%=F@F57Juy!ibvu
zKx^&HOlwo&t<^nM%TN(=DY>@VEmeAEFG{P_u-nt;
zV8gKeI2$$+Kon!>c6tMHW5-JZEF*91K(E^~Uy~a<+5u2`V~3n#$T`wvuUVItSEr|^
zY*~@5Vcs-Z>8Y8>g0=b>0ne-+w?d~2+2a?tpt~W#B^N3I)=xT($^#bE`o>l-hf`6GL{INx^oB`w?
zT0YPxs+oZILxI&f4x92L`5v-{s4#bN*zT}HP%;7Hr>mxQxFkvV{@p+^XMT9)@(bemV=IL^Sy*8&uUrkJHs$z049X=H->K8aA
zi^=iOK^Pbwhkt^0HX$`&d3d)|TjI+??gpsvJ=*?%4l>-Edo_}LTzh96(O{pe_|(SZ
zQ8YH1rcYN$lv9ozosMWNlmY}_Sx#+e$C@rAgF^u!TqA{m5WN_?lngey{Pcv8MJT7t
zEuj-#0wgDpR>QQ$(=FZg8iu-QtQb4Y-u;CH#OmFPBCmIUWI8@-otKywlq#{NQR+FK
zo*=#)`?<2(B3q_=ESbeY#
z*n(~yoIV~!e9rd}6lu>69x6wmgEtlcl^r~338aJPL|LZRk!D@#s%7VH8*u3ED{iaW
zS<@9hxfVCNw%@T9r;!x-RNCDphqnMm;9K$@snLHe*3DS6aOt5{9^@W6>ha!2_67
z8=W>^+5tI~CuYX=pVPHQyWW}IAWwpFMLbx_kJSd`&!BxavaANjkKmp}$XiHnq&FS8
z{pQoa3thj82Niw$%|EEGy7gEeny3N$g?!s?R6R-1e%<@=PYQX#O|#4HUBqd}lW!uJ
z%nqCVQ(VOyCVio79}N%>yKxBEM`OdpoIEt}Xyv(cCV(_RW^NMMk5S+)&y)ip>rmbTqIW7=cN*@HXW~B|ji!}`2V2!wso1JOf<=mIq
zT3Ma#MfdRb%=C1#)!ESAT5WZnJJW2{bdcwob-js
zn@L-*T)df}4}y8K%?97a8-^dpn_FzHtd8f6XuK3}9t)JW4$w9>9d4;CIc6<0nfE4J
zw_VJ81AP$8ym#B+yO_uDSVP
zeGtr#@7UnG_`&ew`0*dMR#wOJLo{BB9|va~SsPb|(mIki`YV$|`@O_6in}My
zp(AbZT^wTgaU43))=Cc?5{;MQ&>?W4pfR(su?TLKP?aQ)jCUrJ&arjR#iX<1m~^oX
zzKcl=KaNRP+FI#>Nuu#cCi$y#Jl#4m=rx{RDcaXez9P)x(*4Xo0MkF)jva#1805LI@_i>qe
zdb>r!<2DWNv_Q}!Ri=dK!Oi5Y@M-*};TOYKA`py1PSA67Z
z&xo4l(N*|zTCuo-|Ka8M>PTOEtb%)-WIK!S4t?nfS7fNF(x}xYXxGn1{njxA1Y-o`
zJHs3As|38!Y%FQiHbWE(Gg50en_(4PM!;wRMC8UPPYvy9-Z)DIGY#w;bfVsAS1#vp
z+Gu5+2&56#*n&EhZ*(5A(5{Ay)wWjK?Ij{4I9j=`)`DcSqm@mNWUoWWA;Rq%?wIEM
zda~O5>w%4bo^v=V*D6Lkr
zC705!{KwseqjY8WA9z}dr^$!7okC*y6!mE?N@pMQZz++b@
z_X0HB1mV?5MUdR;q$;tlPO8#Hp*&a0+ztK&G#=a0{jy?LU1TBJ%>u;&#bBAMA}x|ZHOD*{SJ(1sJlB~FJv;~{;d4qc0jO!+O9Dp*0@
z8YC&k07XRxDCirQl)&xsa$17X2D-Q%rZbp;2!cGYt7yDtpQ`v)wkj`kPXgTX!3wjG
zfLIkq6nPZ}kJB1EO%++B=jNzknt0xwf1Z4=jz*OcP@$^Ks%y-1
z^p!>)e)Lz0YBcI>^>o862dqSO0%BDnQRG!3&!}^=2TM&cZuC?wqZqdUY&StzF%&^^
zilIuZilItR2w=TpWH+QX2suKJ6Y@
zk-wp^O=HXDyjGive{Dx?e1;T*#uU6nUH=k)V;CEf(Tc$QL~|>wDOd*@W7U@x#(1X)
zO&aqN4^7+x!W#1-0%Fw|QRLSc_hI(Wd$80r<};qEWi;lC0NYIv))?-!5d_?8v?7O4
zd^Fkc0}s|(2SX_e;wIZ8dt^5Fi|_{j$5XWoMSnRkiXQTEw?7q6(F3I-qhd?anlDWn
zA0Ljwah|GWXnZ2T?pbR0K|3TnD}I=rJllhL2|A;}luau-(@PVDi^Ea4$Wyfpou3*<
zXE2w!@l+X7>v*b4*Ys}$QIzcV5h#q#h-=*F`~i=dK|wNN@XoNlJYN3ofXF_dKEl;5
z&jtZ`y!`$EsC@cJF73(X$DWUuk5wloHgHI5WU)SfHIB-p=gLn^r*cLO9Z=?AO%7Sd
zf%4JI`9O~jFTIV{Sl5t;VbY`J^R?bc9XH-7!6Y~3ouFH~IGKyMA;--BTtVp0%-Inc
zoiyUOjCmyFF}wrPhwty}9%0kJ;sf$2
znzu|le_pl<;m14*hwzUZnp?x8=9nBDt5hE{Q^0+sqmnN;x%(~9@^j`Ox=Rw_c
zUn4prJo#NtK&+ErQRJQcYNuWe0!WE3ELWmVW8|ft-e{iq#h$9V8yvfh$u`s)Aj*ub93slRRkR|>da5DPQq{W5HTm=
zPNk6(w$T8nJYmBTDR9E}*Z`Bh6sg9jg-i?IPCY5=@u~V%GmvgFBiPfoArAHM>grZBg
zunO1&grnPpVuO!14JV4P_K;0;qhCo?-4n%?aT7(jL8U%kp9U9D1lr)iCi|J`VaTNM
zAy2>D?Bq$~0|dmX2cpQU2cAjeFFjal^8JXXsxIHjeNZ`K()eqr?j{J!w<1VRzEz1;
zzE$a|1(QabAfzH6^A*T6wic%a-}VqUrv*;Ml9S1o2SDY?Bo0D>lgVuXPAItP|{BWVGYQri*)>Cv8o_+TXQ&BR3yz$6!ndi
zXwuDDR<6{zE-qUNHd=pW67PEGde#|qPOf%XK5$H~I)T;a!%1&2PbnvoHZrBu71t3<
zc8BIw0G_iuq1k_cSxw(}HK!a!m
z)m1W+`~~7LoZQW*Nb70poGuU84?McPYZQy<_U@E!1HW+k6VO&xpEBf-XShFxXf0$p
zFPL0u7fwG>^D5!(mkZRpssc5^c4bPbs0sG-(_@fo&2!}OU-5ck*BKeGSZajwR`RXCJO$G@E!jX
zDWT1c@|0oUQBfx6JE{_^@2E-_g$jaVYd824Pw}cZ%)vpWl@J=Z5
z@KQJ>e7s}SIGTbh%3(5;R*^2A{z^$I8K6snmbwI*15U^`vo#7rw=;K6p5Dj2o5z>?
z=RG{Vz;N!g0x+cf%OuqVbTm5zIbFJIEg$G(mJEO&Dtxr71FN%3m(o4C3Ry5$F5Tf4
zQ7m@qQY>>$-73Jk4^G|7k!XIa#!Cj?*MDg2FiVxf!d^fa}
z)x``!q&xUdL~9}Ih~FJtDQ@GzgtUArly)eQS9nFWwHZ>{te1I=ITgt!I53bpk=89J
z0p{gno-XMQ&ugHr)fN0G0kOJ*qR8tC9-Qg8971yMmAKM4@>LJ^nv3`)Pt}}@7~vUy
z9SNg(hIvAsqbN3Gj%kjO
z?sc(_oN7kgGdMlFVxluLoXL@KwpqMn?>+XA!U@`j@i8sfcGmgTcCEdlvVsieifa{Zt%iX-FEUlvl30&`NbScE
z(v9uuD-elW7!x@R8U9Z9^xoP{?$A1w{4q8m?l9K8M4Mqt@lUZO3v?^8FSAu7?v~?M
zS|I2Suql|jOO@OKpT^&Ed?S1%Tuzidam#Ud_fa#*^V%)M6@|p(0by)Cc`wxCi;-V|
zk2IasqcFVrGi(#{uCD|3I0_
zT|n%gXv5xgUoxLbw@j)t08s|s{BT5UXE{K1+vfXx8W0e^&u8$7B6jpt;QKJfIGXgD
zkr=LKrW>C}$i5&eObfGkXID#~$Sx6nk%`TvzK}5A4u7P3qG(fuz{0CdAdy;UYP
z+C#xSm!l#&Di5fyy5q5aT#Lx(PmG2ngIsljay0&z_DFuF(2n;=(k>@IMKGpE(%n~L
zDy+8rsdS8N@?NhN8g5sxkVvQv3-k2rFxZ3IlwC%|2$xxqPU~}VY|!$t(5vi7;|y9J
zK_3JsCppCi-<9`*;m75@c)YEZ9`as@#!XYE+rUgj_7Fh}BaPX?LPeBn+xRk+)}dms
z{Q4_X?k=_U&6SyCjlgO#c*fGv>h5{2YzUrA_*dEByEw$~<2Y2ewbBEJMB|Yh@>l1W
zxm81ZoiH3%G+_|jPbUid0BuZvOq(dADCH&!{|u(A>_h?EmJ@|J8VzVh@NKr{-Wfs3
zj3jS_{^@gh)89W>`uifZFJ=*@H~$UJfAq7kM>UUZo=vK#+4Z~Oe0DKzn
ztG^z;623aJzc3@oT*?FTDa7UeB-CS<`wjS*b-7O#L%Ce5q0oEf>6fp%^ukKJzIA4b
z)@;<8OkizgFq6+=o5RUxxM{mDp!1HM?YZ)_NVhb?^y(*%!9}^4P_on9Fy7u~-NHzI
zv`F;~UUU9x6>NEwRwynN9;MM#qQ*~q5m6l74@
zKv`qgHXF74{>cTIJ`3BCd8;IfT+9DbQ##E`aT{s!46U(`-RrDZEX&4GYS!LUO_SXFw{bsTyaz
zqO4G(7(S{^p)J|~X{jd1z*NJ%Nq9fVCQPY?;OPC(74QVvq~J-6SL4SDsIQ<4m5N{UBD0xE(0*)
z>2!D+8yl0DtX(91f-B$u`^Sz4Z@OJF1g8B*+ZCM(;)VhF3Wt+Pd#4v{(zZXDVU7OPWh
z!1gByW_Q3&z*XOvKCiX|F8hTubJlGx#=y<9D&w6wnBU|fjlPp(J=9I-G)Oc)Fn2ux
zfe_1Hm623T$nO$G#*|PHF){9`^;};4S`U_p3n%G$ji;(Uw~IXx`g$aQwzVZs5Z>Ct
zy*9dtv|)ba$#k~|YpsKU6g}Q6hZ38Bnx@SBT{yBI^;Fflk=zB9BQ_e{2i1G!Msn#9
z=?z_rGcx;i57IeifaK@)FbOt6iFFT?DqXd*A9g_Tr`sQRVB8Ty-MANfxIhlt|1=vw
zHr^MHR@M`Wkhh-J0-*B#Cpn}j`;E(3b!of1XRkr?DaZ|1{K0iq+v<3jq|i`fK0wUu
zDgBl*5EO@!`LChD^8ozQ%iy^`Fh};(M?=0SNczb@7&VJ9`8gt#Z(k8?u&pGba*CD2
z3Scf)66q@
zHf$eiFWpA5l2LuaMsF&RmK@TX!=9t9(^GJ(NvE=@)!eEALon^zT5GhSy|JOSO*Jc=
znx*&D!EBY$^-Z{N?S}-
z<4sZyzvlDMr0{FLfKRkTik^!68i8&Zzh()XV8KiEr)#awY=B#nKi5dnSshBDS0gmk
zwRh@Fb}@8tBN97Wg&D2ja5&w>6eI;+#)10Ra$;$|RFXnI#t)g(b}ZaFm
za7I43uf|5Hp|p;a5B-(diO0rv;t2X6c!}v08+@0`!SLf;j>p?t>A~d?jhlwe%OQVt
zb~#c#N*+O#nwupiIKrAYVuc<@iet{>_zvLQ2an?_eTU3JY0Vt8m6)bACsLk9Qgw~EbLGwJ*k6ofor%K|HOp6cFDj_dOyLaT34q=l6!M&LL^2vCAjbkpVdnxyima6OJ&6Z3>6zQR7VqH
zC5+ws`_SXvMm6CATM!j}WGHrC(MO{TY(0XDGR~P!UP)Em7Vv^}I8W1@NN0ten4GbL
zTT5uApM5c#jnSt#Y+&?PilHb13_}uMU_~siz;0jD+h{R-RMujOTu>J
zbm7|`GUs%`sb1Cu7
z6?wXYY5|z|G$dt&BR`z14d4?C6Y|Not{o{%^Mx>xV<{P6yi-&op=t&o%l`NjQo`ep
zYeKbvL~0D3R+!BaDi&uCLwsgM6Te$L_?0lL*@lBG>`fkg>(3GauQuJKP+791azS%uY63Q-bSe;87AsB|C=y|!
z)SAdmewI<&n9Urh!^5OW*#t(%mO75MlC%iFAMl=+s(U;V#5B
zq{~QOZk*XHe&i2E%{OotTYZdoO6F;xI}Vtli?X@s8nOs?jDpZ@&eb9uQ_+^%`m#P#
znCxg~Z;;BsgY!9aYmiX{mP-9L$-W$jmW}s0H`JVN`9Kd4W;O;bq3Q!(qPx_Bld}_R
z1XiKDg08Z`Uk2VdsSAvH
za-`3^H3jZwTQ6Pr8$4goGL%=Zw!vTS;1$C+cr}l#p6n0*GW+qTwsv~pmT0~lw=Bll
z$}OXw?A-$Mt=Y>D+j{BZ)(7Z=;KlDx+TbsDaEsx`a_h^sc6#8JXucG;=1NzUy+Og
zVdiL4!eM!zt#}t?iehe0!jXV-ANC|HMON{i1VIH_n>-2$60j$s`rgJwEaa9w%Dko_`P=a-mR5m6f0A2!8zm>?)bZm=<
zFnXBe2~gL%y1bcyz~m#px-5z;0msbx5A<9Pg>){{#PTK&mgti6>hcYqs(Rcgc6Iq?
zB!ITMoF@pc|8TF3vzU7W*Hsts+3eyQJa}te45aBkC_}PE@xyHLuJ9(`;i;-qHF+&m
zj#yQD4^)q!Du`KbRZUQ&C{CwJ;h>^aL%brA@2QSeHbq1{_}B+{V6_oL-D(&6EI2mf
zTJ(g6At)}q7G0&P&b8<(6L9*{_%AI-t8IR?=}#UY$4b0&EIFm#Wgq9l)aju
z(+OikJ#Qx*(l&afNCs>p#3pUK2nVuza42%uU^ahP+B2!M#jExYdbsaaCyuaxn}ArY
zwkYyjZTG7EBOWX@llC)D)iU_=Y|JWVqM0OrB_}8MsTIRH@F82
zhr6)U!4=p`6~0UN|DKgol6vJueV}Y_ThagTQ56P%l-M|T;aeX28tE=z#KfG`k8Er<
zr&5=J;;O=Dc;;k{uBd`Z4K6(6US8!i;XeBeoGV&0wZ(WEA)U5YMg%w<&du7e3yz9Z
z!*C=48{l&Tqm@>5JG{x66!K$v(J7tF7)W%0S$$jG_l&FR?<5NUv;416ZjJgz{7
zIy0VUg5z?huK_wU1*my!o!h|js9q%?)=^y)c}Mkqkd<=m5kHhB)0lIe2T#o=Z}(I!
zGv-_mu-zo#ah>}eKCZvUgSFPdK$=4EUF_R57928fO)9@F9Em^kR4qg0J4;a6IkNwa
z2k9JHc1H7sf&4Z`?TeoB*K=)Ddj!Nf(ukt+Bh7C-cxpD{m!7I+Y~XJJ
zwwok8(r~}SN17vV51v5=(lj%sNWa4zf0U`9@%)rYYJVHuC|GW+C|^Z06;(?j3F`MRj|K
zaT*R_!CfXcs~E7nzQrRKZee6AxS4=ht)M6>Zv}7i;Hk;)4W6oH^z&wb?Iwv_{U9XF
z1s-P{?RF2=S_cDZ+JhB*S2z-H_f#!I<#z+@Ua9P~g7Z!2lHT0vEMM#c(;
z=x}Q9difeG8@3*2*(L%=Vpulkx{N%;^qhcL3va!~wdU*&XMGDF@`TTwTufE_c8KZM
z0bS=q2ah6MJqzO6d6O5dEZUTjMs%zjG3ZJPKJX+XM10VRe!}JF6WWppToSR$f97d7
z!6p^%-2@@fmj!Py^~KzYoe@J?bR2>&e7h)EvQcRIEZN5CDfVlPcZ$g5)t(lBEKB$Z
zQX*W!GY6#*70VzG<}*{##P2*0ekBHxY{Nn0$vGZ;z!s4Zob9hCPnIBE`z!?V2o>{R
z{xnIuIRHgw{RC8vVErnwTTdORdU~U}aSE=O5xaBhHQ1daO_xfg(Cg_ckZruKh}x2~
zdgGnh=^Fz&%|7e(o~jX|mpfba0)QPPZ#xJH&=RXFp-PwcMq)*qZjS)KKq3xt4#kXz
zusEKxfkeTJ(haxo!Kbd|rn;z8S8{Ww(gVw>E85fJICX{P;?&iB&@pl9ik=2@>WZ#2
z#D!KkPSprFcICLvP(mqj?&?Tw53d9_l0PX$cN5BTsnO<3CAKt#{ZmE&%@I1}tkl;O
zgt@!dDD7eX!ot0nER)A!8vDvMJ10+o|DOc^KL!3j0{{QsyeB)wKY19tGWQq7
zsooS`6qn+d+m!u9z_|~bvVRL;aQKC^?@R{TLHlK9F6^Lnr(b`%+>|Y@e#0)oFjZ}g
zLEdD%aSfMY9UG}teY(dDmRAXk+BZEQ=t>om1%CpZA5P}upQx?Pb9P6k5)!^sc7H~-
z*S*c^<_UIl)Ne%;vJVw##^;Z-pK~l?q@)MFa_5*i&z!{JO%&QqdbkQNciQ7!6R-t&
zdPcuhudRfmJRsHOZh2TBMW;tf(Qq;rKxH1(k;;LC`Y}}1Kc6>dIR07BWdX>tNIVs)
zMu|eK)37g?66#TcDLgbou{X#!FYCK(^Ji;o2m;^lp0`q_wBAc5w<$9duM>m
zU01!KF|mVFymvOhg{AyFP4Ab%CGPc!&LqE_tkpM9cK8Qe50A$=ruiq{G?d8Sp9?ZM5e8vp?+t8bKVDXLp^Ex-bUTGHFiyj8ZH
zhO_sBd=(GyA@1&b6@&_&&1p1J;#MwZ8V
zDqwWYAZ%tY-9LgPWL+cYRRMo*`M@?Y;Y27Oqw3~;2ScQmq>4
ztg!@tnVmWEjz~c|ls*VPgMFe6zKbOcKaM4*+gj;?C8F_CEZL7oL@Ph2Oz}hfGWl__
zttYNC@vGzbaitBuiysW%;K!cJWFO$k#D9|weh-`w&6eWCQ0kIcnL)*}BlE;Bvokl^
zI^$x-^WvECN*jC^GZ?DV#$2XGqmw!Ur{cZB7d4(`Jk;oF0TAV
z99KSWgYV)B!;j<27i_Kcz!lMWDXzd?e$7R<@nwHmLvkj4Ve;mOwqCh-^H3ab9C8F_CEIG)G8rayfzpNrTlfE#S^HN*4T+F#8jybQh!FMr-;Ty~exXtU&
zZSC~H9?^U$_8goE;@J2jW|S1AksQ)rnLN7J);AZA{yL6FpSHnw@rdCYJn|~gH*Kx-
zz#-9iDGuS4DHv6=ab_NsNv7~GlOI2^^~A-G|A^zq9&fS?!Y+O=e1ji*ir(Q~&(kxb
z%Rx5yJ#a!aTZ$70nPE*ELx$2Sk}LWvlQoNMU30PKMEW3j;9qWo?_v$ZH(0Yb1aM_n
z=-KSU1-3SNV2^0J9DB?tvz0w*71<}SWHMHrk-V#IU30PL$~g8UHux^~Fnp6e5Kos~
z*&Clt_Uy2=(F1!#)1}z+*rK4njZueND$8zK%gk=yYU{R(b+3$L-J5OjU94mH2J5_o
z(0gsI^uRpPcq!%`Q@k!?W8V?B>XLumi<@GCa>E(S7ugMk5_-h;Mw
zdSIbwz7z|Ouq~h2n0Js_QL-)j+GNh~dX_<*BxIdfby-bUH47??oVJ5d2Y4|
z9%0)TP<(l7iezq|;5z~7KI{{0BeQs)pr8Zo6TAya5^{O#nsu=F4;h4DtC#3nyE4
t9kNzl$(5;Urb6bC$43~&Zs&4E3uOHaAZ;8Q!gd{GfIA{xQ$m*{9K&xm=a7jY#
zHWGw8GipFEfpfYpQaRJzJ5+X{M+0nSWN@}VeA^R;A
zTAKc0T9>fw!27iWB)*XA%9U7Edj$z?c-ZNR$rP5n)5gH446*9@&l@BUuBwM2Z_eE;PYq4
zxue~Ayc(4$5?^~oH3gJocvg}pNf0+}kZpSTtIYDXyF{Wr9m*=e6w4Gr
z#&E`~inCX=K{h5zvZ2HU&QF%VGeJJtSE`hKY%>s>`+RA0TMNEO!V$3@%*SGWC(iB;
zr8@J8B^97%3b%M+Pu#FUdz9jx6RBWSoK$gDkl^;i3WvT?l=sO@Ib_42-{e3o9a#3X
z+tWC3#o5mGH7UOR+0|YO$948O4_8Qy%gavXfbtTa-~S}|d+6zM&B-qf-_1V*xNgTTJJmB1pHeKOWmA?%Zb
z*`Jwz;ptiMjDN>eA3@n-Z#&S`cg?pY5Rb*}J@9Og2eLJ*&hLp;dlo5k=vXW9rpoM@
zwQtFq-d3!6e4`tsP++s({_Jw^sW@R7r;HXJo`R*?3haJ$*Id#A;IVjl4?I%%j$1Rx
z?L9F_u|kr5E2hLWNGp4sqC|?AzS-v-0fjpP2LgDiW
zM`aY)6ZH;f5ru-R+SVtYr7*HjJbUzYMu{i-P;(~;q9U%{*ipo{-zK)1YJY3T+>^$)
z?Z3=t$Po8LPl$UFop+iPJZeqEY=~L9SwTQ4iqsH8hE%YT6)4Gc)QpC>9HlT+uR*CQ
zD@3}CHnuE3k|dv9P}zWVTj-;P2SH)}Ri|GLxF+WWStv}v(r-UV=Dr1N>5Gw!|0tb@
z0v{QCQuPg`Hjy=(K`BF3TmG_7RXk}`!=_843Iin`N!bIIn?WH4)ic=LWdHAgJX92x
z6oLd%tChYNao4@4a)1hRKcxl0P2b6RBPknGBEmaQjDneV{OPS&LfPupV}R{PC2Y43
z@%n&!EWWfOJ(@6Lt}W@rdZITZhIav{tP=^rN+Jjqxl$z+6GiFBO(bKG=vG8&Gky6_
zgdcslNu&8$r*y)%1!
z5;HTa)nk&6CRT=0(WzJ#-*Jn+L`Z@{I%xmplrx#ZJ|=oRt7Vl|E@!dc*8Eu7&*PMV
z^fdk1P4c;YI-enp^A~~D2#TBCjz^^s$~V2F*n{swIj-9XeWungr+wKc?y{@Hr^KMF
zz(w&dK9>0w9FDi+1#v8`1TLy6;;+Sq7_*#)9hnRtqU6B#9pGq);f}FpGB4!u`~ZrG
z4Nulri}9CGsF8mn$ESuCa@_GFF~lvD(>nMyp2Eu;hMfq-wm!r6^nGGf7GnplV|Ouj
zlBy4O(&upIm#De)6+|3K52><>3S*D?;Dz4m)b`I2l&RAB
zQ{i;+*<-xN(@~|a+|kDs1Vt5)&-Ki#Ahln7NvWiD=E_37!=(bxzo_8QrRTMg%?FeZ
z8dPlEhs}@QaZFULB+gApikHH9Y{9rSJgrZTIYx5k^b!V?`fyGf%hw5dAx)<99Ij6VmY?
zX_+0Wjzeb2v{VpXS5nhbcxzd&{79Pjmh7l%$Y3b?A(&p2
z;^*i@_KS%|)Ft5MaIy^Sm-7Ixqv>np+jtv?FQU_pD(b~@gXG|JV{yER
zn;-PGP3fH9FUINW8ayO@jXwONX@LVETXg!~uV?qVuwptP
zz38Dc+HaD`O(bv&9J1L{y&a{=;wbGQz(Jw9OFP|$C5=#Du>vb$
z(IYzU6p>Gdjigu}$^?R+6Jyv6Qd>?E;ecz>VS48Hi%I&0MNlV1&ORti&`gm0F#PoV
z6)bv;qzatlw7`hA)q%5d_vjfh;W1Aq4@6#}qs_n%^T6-GorFX5+$Zw7blFeVd808aB!su$~
zx;U0zpar+u%|x#~5(CUxp*yHzIMF8%VDKX8dCHjTi8m=PmL3B(;H?m96?}tOlJ202
z<2|j(byGA0S~Gv4Yff}i743(pG5I~+wqbJG7TKL2@gMSU@IT|<;~%xZi9}BO&*^cF
z9yNNrNslFZyi1Q&di()BewQAn2+p(g_&0j}S9(m)>tTAB^f2f#3$4lmb-CPvTxwk|vo4odkl+_0eg^j^lUuLE;J9W
pJO@%Hfco)V)%G+W&YLBVA5K#kklYsCn;tdE8l;MoyiQy~{U83?opb;I

delta 4707
zcmb7HeQaCR74OS8XL=h56X5Q5}WvFDcew`POH2Pbs8{`3hbXs;U6TVjfy{zkeG%lLqBxpajH)UT$LYVhZq8r$hWi^geHZbOJBhU?l8r@4|6}?f**d3_LHGpWGYp@R
zIXz24WSsPnG2#z5!L~NsmW`2#!vE^e)V1!ltcSm!R9guuuF+TZ$GELxl0xWlek6QmXk5_Nn0^r!2?kzc^d
zl8tIjZrq@L%ur_>xsaQoQ##VwsNJAnw1o=2ZTE8SWv5MmCA$u9eYPsBhE#M>)XDSo
zD_5x5;A@!*8>YinuC#{qQaY(et(@8KX6}lFpF?6^(OMw^q9Uf^VnPpd5cx9w`-UTB
zp$)iy9(=u)(B2|vwSKzd>EFQW1T(q}_|MbN-8=T%Q8vvdRg#T4;w-L|Mfx6#lw2~x
z!}6eSwTJ0n+Ye8zVz9RKn%OzOZ(~FECpSk#W1ZW2LgboR=Nqk@W@DBcdZ9DW$XbK0
zbO!ElG)F5av!*aMQ;lZtOP-EOJL%`%ZZ1H_?)X7>iCz5(-6~)9`>xX8
ziBIx?$D7kRr)x&-YRo`KnSrxf7^)`RZB>ng2(WPMxFd*;wsmdH>7*GZkzGu@cp|!(
zUJ!+ptco#Nepr|{Xc007Esin^n7X{B%L}}z%@?&xOHdlXV6b1X3fBW#Gdd4F=X--b
z@B8Pba>8k*=fa+;8d+(dnC5@Dw2(|CM1`Lg7iAs#=ssX%Cq3);ZeXo$IXzF`^Cy}N
z_;jq-Gh@zYt$iZF$1NiXG!nIDw%zwq*a^jni0;
zR%q*CF{$te<%GC^S(u@mccuy+zzleHdDqXD)Me{&up=xoJH>&_R(Wf+tkP&1qN)C#
zTxoS#GYHzC%HiB)O_1Wy0+cOg3uGK^;asaQ$eQ6MfkzqrSO4t6%Mc;d&FlE(m@sP&
zGwILv4t6Yd<2)9vbQmlo9_iZn0V%@Li$O5UmuMJ19?HuNqmglw5n2WHiN3
zE79YkqCz#%w}bt+8{KThXb-pm6jCSM6?Dq8+KQzy*%IvD}X2+&4M}p?2zR{qsWK+H4I#9>1
zr^}<0`!Yr#kKorWahS4qFb8pT8tUWn^r=t}$k#%FoDS-xJPm3MC*TID
zYxNm5p=-?`1$-Av+4{8+1i})q;Le1@YEV+v9YbcEU5qF+WOKj(S=VsgJwd(WfgMGr{(%~BBaxng
z2dkSUdzG$QrOJ39_dYC@F)6(StF`iYrGkYTdHkS`_Dl%5KcTl4IEV1gaRMi&lhjc_
z{>~acoTQ@un``SAN!?h^>PHj2gVpO`t(;YRbrq}E>DZlo?wbn!2XBeh8x<_n$ZA7<
zk=3S*7**n=l+zG!^yL~JoSdTm7i;SmIbFBzXR9jJnndNd1g$BSU04uRUE_i*%pCY}
z^piCi9E0iO?Ot;*eYf5Fqbh@GxVWj3NHaSH`j?$2a}Pt{62a)d
zCSQ?@+qgX<548@Bmev4u=+VP|K3|~J*;lkHe6mb*}
zp%|?PF$^NB-3EWgbE3MGhKmRMx0f)K2>CifF6PNfp2ZMh{`1Utp83r)pLyml!hGeK
zpFHysVfG_gvK0+7SZx677{Gd!TqW-_OypYw&>+Nk&_Hwm!)1ul_{0$D_{0$5v27r_
mhEEJpgN+CeFosA<6;AFR=Q>&wVq8|DYEn+=5iF=|Y~*{zO9r3-

diff --git a/docs/build/html/_modules/collections.html b/docs/build/html/_modules/collections.html
index 54bcd065..e044d857 100644
--- a/docs/build/html/_modules/collections.html
+++ b/docs/build/html/_modules/collections.html
@@ -107,17 +107,30 @@ 
Source code for collections
 
 '''
 
-__all__ = ['deque', 'defaultdict', 'namedtuple', 'UserDict', 'UserList',
-            'UserString', 'Counter', 'OrderedDict', 'ChainMap']
+__all__ = [
+    'ChainMap',
+    'Counter',
+    'OrderedDict',
+    'UserDict',
+    'UserList',
+    'UserString',
+    'defaultdict',
+    'deque',
+    'namedtuple',
+]
 
 import _collections_abc
-from operator import itemgetter as _itemgetter, eq as _eq
-from keyword import iskeyword as _iskeyword
-import sys as _sys
 import heapq as _heapq
-from _weakref import proxy as _proxy
-from itertools import repeat as _repeat, chain as _chain, starmap as _starmap
+import sys as _sys
+
+from itertools import chain as _chain
+from itertools import repeat as _repeat
+from itertools import starmap as _starmap
+from keyword import iskeyword as _iskeyword
+from operator import eq as _eq
+from operator import itemgetter as _itemgetter
 from reprlib import recursive_repr as _recursive_repr
+from _weakref import proxy as _proxy
 
 try:
     from _collections import deque
@@ -147,6 +160,7 @@ 
Source code for collections
         return obj
     raise AttributeError(f'module {__name__!r} has no attribute {name!r}')
 
+
 ################################################################################
 ### OrderedDict
 ################################################################################
@@ -384,7 +398,25 @@ 
Source code for collections
         '''
         if isinstance(other, OrderedDict):
             return dict.__eq__(self, other) and all(map(_eq, self, other))
-        return dict.__eq__(self, other)

+        return dict.__eq__(self, other)
+
+    def __ior__(self, other):
+        self.update(other)
+        return self
+
+    def __or__(self, other):
+        if not isinstance(other, dict):
+            return NotImplemented
+        new = self.__class__(self)
+        new.update(other)
+        return new
+
+    def __ror__(self, other):
+        if not isinstance(other, dict):
+            return NotImplemented
+        new = self.__class__(other)
+        new.update(self)
+        return new

 
 
 try:
@@ -474,18 +506,23 @@ 
Source code for collections
     # Variables used in the methods and docstrings
     field_names = tuple(map(_sys.intern, field_names))
     num_fields = len(field_names)
-    arg_list = repr(field_names).replace("'", "")[1:-1]
+    arg_list = ', '.join(field_names)
+    if num_fields == 1:
+        arg_list += ','
     repr_fmt = '(' + ', '.join(f'{name}=%r' for name in field_names) + ')'
     tuple_new = tuple.__new__
     _dict, _tuple, _len, _map, _zip = dict, tuple, len, map, zip
 
     # Create all the named tuple methods to be added to the class namespace
 
-    s = f'def __new__(_cls, {arg_list}): return _tuple_new(_cls, ({arg_list}))'
-    namespace = {'_tuple_new': tuple_new, '__name__': f'namedtuple_{typename}'}
-    # Note: exec() has the side-effect of interning the field names
-    exec(s, namespace)
-    __new__ = namespace['__new__']
+    namespace = {
+        '_tuple_new': tuple_new,
+        '__builtins__': {},
+        '__name__': f'namedtuple_{typename}',
+    }
+    code = f'lambda _cls, {arg_list}: _tuple_new(_cls, ({arg_list}))'
+    __new__ = eval(code, namespace)
+    __new__.__name__ = '__new__'
     __new__.__doc__ = f'Create new instance of {typename}({arg_list})'
     if defaults is not None:
         __new__.__defaults__ = defaults
@@ -522,8 +559,14 @@ 
Source code for collections
         return _tuple(self)
 
     # Modify function metadata to help with introspection and debugging
-    for method in (__new__, _make.__func__, _replace,
-                   __repr__, _asdict, __getnewargs__):
+    for method in (
+        __new__,
+        _make.__func__,
+        _replace,
+        __repr__,
+        _asdict,
+        __getnewargs__,
+    ):
         method.__qualname__ = f'{typename}.{method.__name__}'
 
     # Build-up the class namespace dictionary
@@ -533,8 +576,6 @@ 
Source code for collections
         '__slots__': (),
         '_fields': field_names,
         '_field_defaults': field_defaults,
-        # alternate spelling for backward compatibility
-        '_fields_defaults': field_defaults,
         '__new__': __new__,
         '_make': _make,
         '_replace': _replace,
@@ -641,7 +682,7 @@ 
Source code for collections
         >>> c = Counter(a=4, b=2)                   # a new counter from keyword args
 
         '''
-        super(Counter, self).__init__()
+        super().__init__()
         self.update(iterable, **kwds)
 
     def __missing__(self, key):
@@ -725,7 +766,8 @@ 
Source code for collections
                     for elem, count in iterable.items():
                         self[elem] = count + self_get(elem, 0)
                 else:
-                    super(Counter, self).update(iterable) # fast path when counter is empty
+                    # fast path when counter is empty
+                    super().update(iterable)
             else:
                 _count_elements(self, iterable)
         if kwds:
@@ -772,13 +814,14 @@ 
Source code for collections
 
     def __repr__(self):
         if not self:
-            return '%s()' % self.__class__.__name__
+            return f'{self.__class__.__name__}()'
         try:
-            items = ', '.join(map('%r: %r'.__mod__, self.most_common()))
-            return '%s({%s})' % (self.__class__.__name__, items)
+            # dict() preserves the ordering returned by most_common()
+            d = dict(self.most_common())
         except TypeError:
             # handle case where values are not orderable
-            return '{0}({1!r})'.format(self.__class__.__name__, dict(self))
+            d = dict(self)
+        return f'{self.__class__.__name__}({d!r})'
 
     # Multiset-style mathematical operations discussed in:
     #       Knuth TAOCP Volume II section 4.6.3 exercise 19
@@ -999,7 +1042,7 @@ 
Source code for collections
     def __iter__(self):
         d = {}
         for mapping in reversed(self.maps):
-            d.update(mapping)                   # reuses stored hash values if possible
+            d.update(dict.fromkeys(mapping))    # reuses stored hash values if possible
         return iter(d)
 
     def __contains__(self, key):
@@ -1043,7 +1086,7 @@ 
Source code for collections
         try:
             del self.maps[0][key]
         except KeyError:
-            raise KeyError('Key not found in the first mapping: {!r}'.format(key))
+            raise KeyError(f'Key not found in the first mapping: {key!r}')
 
     def popitem(self):
         'Remove and return an item pair from maps[0]. Raise KeyError is maps[0] is empty.'
@@ -1057,12 +1100,31 @@ 
Source code for collections
         try:
             return self.maps[0].pop(key, *args)
         except KeyError:
-            raise KeyError('Key not found in the first mapping: {!r}'.format(key))
+            raise KeyError(f'Key not found in the first mapping: {key!r}')
 
     def clear(self):
         'Clear maps[0], leaving maps[1:] intact.'
         self.maps[0].clear()
 
+    def __ior__(self, other):
+        self.maps[0].update(other)
+        return self
+
+    def __or__(self, other):
+        if not isinstance(other, _collections_abc.Mapping):
+            return NotImplemented
+        m = self.copy()
+        m.maps[0].update(other)
+        return m
+
+    def __ror__(self, other):
+        if not isinstance(other, _collections_abc.Mapping):
+            return NotImplemented
+        m = dict(other)
+        for child in reversed(self.maps):
+            m.update(child)
+        return self.__class__(m)
+
 
 ################################################################################
 ### UserDict
@@ -1071,38 +1133,29 @@ 
Source code for collections
 class UserDict(_collections_abc.MutableMapping):
 
     # Start by filling-out the abstract methods
-    def __init__(*args, **kwargs):
-        if not args:
-            raise TypeError("descriptor '__init__' of 'UserDict' object "
-                            "needs an argument")
-        self, *args = args
-        if len(args) > 1:
-            raise TypeError('expected at most 1 arguments, got %d' % len(args))
-        if args:
-            dict = args[0]
-        elif 'dict' in kwargs:
-            dict = kwargs.pop('dict')
-            import warnings
-            warnings.warn("Passing 'dict' as keyword argument is deprecated",
-                          DeprecationWarning, stacklevel=2)
-        else:
-            dict = None
+    def __init__(self, dict=None, /, **kwargs):
         self.data = {}
         if dict is not None:
             self.update(dict)
         if kwargs:
             self.update(kwargs)
-    __init__.__text_signature__ = '($self, dict=None, /, **kwargs)'
 
-    def __len__(self): return len(self.data)
+    def __len__(self):
+        return len(self.data)
+
     def __getitem__(self, key):
         if key in self.data:
             return self.data[key]
         if hasattr(self.__class__, "__missing__"):
             return self.__class__.__missing__(self, key)
         raise KeyError(key)
-    def __setitem__(self, key, item): self.data[key] = item
-    def __delitem__(self, key): del self.data[key]
+
+    def __setitem__(self, key, item):
+        self.data[key] = item
+
+    def __delitem__(self, key):
+        del self.data[key]
+
     def __iter__(self):
         return iter(self.data)
 
@@ -1111,7 +1164,30 @@ 
Source code for collections
         return key in self.data
 
     # Now, add the methods in dicts but not in MutableMapping
-    def __repr__(self): return repr(self.data)
+    def __repr__(self):
+        return repr(self.data)
+
+    def __or__(self, other):
+        if isinstance(other, UserDict):
+            return self.__class__(self.data | other.data)
+        if isinstance(other, dict):
+            return self.__class__(self.data | other)
+        return NotImplemented
+
+    def __ror__(self, other):
+        if isinstance(other, UserDict):
+            return self.__class__(other.data | self.data)
+        if isinstance(other, dict):
+            return self.__class__(other | self.data)
+        return NotImplemented
+
+    def __ior__(self, other):
+        if isinstance(other, UserDict):
+            self.data |= other.data
+        else:
+            self.data |= other
+        return self
+
     def __copy__(self):
         inst = self.__class__.__new__(self.__class__)
         inst.__dict__.update(self.__dict__)
@@ -1140,13 +1216,13 @@ 
Source code for collections
         return d
 
 
-
 ################################################################################
 ### UserList
 ################################################################################
 
 class UserList(_collections_abc.MutableSequence):
     """A more or less complete user-defined wrapper around list objects."""
+
     def __init__(self, initlist=None):
         self.data = []
         if initlist is not None:
@@ -1157,35 +1233,60 @@ 
Source code for collections
                 self.data[:] = initlist.data[:]
             else:
                 self.data = list(initlist)
-    def __repr__(self): return repr(self.data)
-    def __lt__(self, other): return self.data <  self.__cast(other)
-    def __le__(self, other): return self.data <= self.__cast(other)
-    def __eq__(self, other): return self.data == self.__cast(other)
-    def __gt__(self, other): return self.data >  self.__cast(other)
-    def __ge__(self, other): return self.data >= self.__cast(other)
+
+    def __repr__(self):
+        return repr(self.data)
+
+    def __lt__(self, other):
+        return self.data < self.__cast(other)
+
+    def __le__(self, other):
+        return self.data <= self.__cast(other)
+
+    def __eq__(self, other):
+        return self.data == self.__cast(other)
+
+    def __gt__(self, other):
+        return self.data > self.__cast(other)
+
+    def __ge__(self, other):
+        return self.data >= self.__cast(other)
+
     def __cast(self, other):
         return other.data if isinstance(other, UserList) else other
-    def __contains__(self, item): return item in self.data
-    def __len__(self): return len(self.data)
+
+    def __contains__(self, item):
+        return item in self.data
+
+    def __len__(self):
+        return len(self.data)
+
     def __getitem__(self, i):
         if isinstance(i, slice):
             return self.__class__(self.data[i])
         else:
             return self.data[i]
-    def __setitem__(self, i, item): self.data[i] = item
-    def __delitem__(self, i): del self.data[i]
+
+    def __setitem__(self, i, item):
+        self.data[i] = item
+
+    def __delitem__(self, i):
+        del self.data[i]
+
     def __add__(self, other):
         if isinstance(other, UserList):
             return self.__class__(self.data + other.data)
         elif isinstance(other, type(self.data)):
             return self.__class__(self.data + other)
         return self.__class__(self.data + list(other))
+
     def __radd__(self, other):
         if isinstance(other, UserList):
             return self.__class__(other.data + self.data)
         elif isinstance(other, type(self.data)):
             return self.__class__(other + self.data)
         return self.__class__(list(other) + self.data)
+
     def __iadd__(self, other):
         if isinstance(other, UserList):
             self.data += other.data
@@ -1194,28 +1295,53 @@ 
Source code for collections
         else:
             self.data += list(other)
         return self
+
     def __mul__(self, n):
-        return self.__class__(self.data*n)
+        return self.__class__(self.data * n)
+
     __rmul__ = __mul__
+
     def __imul__(self, n):
         self.data *= n
         return self
+
     def __copy__(self):
         inst = self.__class__.__new__(self.__class__)
         inst.__dict__.update(self.__dict__)
         # Create a copy and avoid triggering descriptors
         inst.__dict__["data"] = self.__dict__["data"][:]
         return inst
-    def append(self, item): self.data.append(item)
-    def insert(self, i, item): self.data.insert(i, item)
-    def pop(self, i=-1): return self.data.pop(i)
-    def remove(self, item): self.data.remove(item)
-    def clear(self): self.data.clear()
-    def copy(self): return self.__class__(self)
-    def count(self, item): return self.data.count(item)
-    def index(self, item, *args): return self.data.index(item, *args)
-    def reverse(self): self.data.reverse()
-    def sort(self, /, *args, **kwds): self.data.sort(*args, **kwds)
+
+    def append(self, item):
+        self.data.append(item)
+
+    def insert(self, i, item):
+        self.data.insert(i, item)
+
+    def pop(self, i=-1):
+        return self.data.pop(i)
+
+    def remove(self, item):
+        self.data.remove(item)
+
+    def clear(self):
+        self.data.clear()
+
+    def copy(self):
+        return self.__class__(self)
+
+    def count(self, item):
+        return self.data.count(item)
+
+    def index(self, item, *args):
+        return self.data.index(item, *args)
+
+    def reverse(self):
+        self.data.reverse()
+
+    def sort(self, /, *args, **kwds):
+        self.data.sort(*args, **kwds)
+
     def extend(self, other):
         if isinstance(other, UserList):
             self.data.extend(other.data)
@@ -1223,12 +1349,12 @@ 
Source code for collections
             self.data.extend(other)
 
 
-
 ################################################################################
 ### UserString
 ################################################################################
 
 class UserString(_collections_abc.Sequence):
+
     def __init__(self, seq):
         if isinstance(seq, str):
             self.data = seq
@@ -1236,12 +1362,25 @@ 
Source code for collections
             self.data = seq.data[:]
         else:
             self.data = str(seq)
-    def __str__(self): return str(self.data)
-    def __repr__(self): return repr(self.data)
-    def __int__(self): return int(self.data)
-    def __float__(self): return float(self.data)
-    def __complex__(self): return complex(self.data)
-    def __hash__(self): return hash(self.data)
+
+    def __str__(self):
+        return str(self.data)
+
+    def __repr__(self):
+        return repr(self.data)
+
+    def __int__(self):
+        return int(self.data)
+
+    def __float__(self):
+        return float(self.data)
+
+    def __complex__(self):
+        return complex(self.data)
+
+    def __hash__(self):
+        return hash(self.data)
+
     def __getnewargs__(self):
         return (self.data[:],)
 
@@ -1249,18 +1388,22 @@ 
Source code for collections
         if isinstance(string, UserString):
             return self.data == string.data
         return self.data == string
+
     def __lt__(self, string):
         if isinstance(string, UserString):
             return self.data < string.data
         return self.data < string
+
     def __le__(self, string):
         if isinstance(string, UserString):
             return self.data <= string.data
         return self.data <= string
+
     def __gt__(self, string):
         if isinstance(string, UserString):
             return self.data > string.data
         return self.data > string
+
     def __ge__(self, string):
         if isinstance(string, UserString):
             return self.data >= string.data
@@ -1271,105 +1414,191 @@ 
Source code for collections
             char = char.data
         return char in self.data
 
-    def __len__(self): return len(self.data)
-    def __getitem__(self, index): return self.__class__(self.data[index])
+    def __len__(self):
+        return len(self.data)
+
+    def __getitem__(self, index):
+        return self.__class__(self.data[index])
+
     def __add__(self, other):
         if isinstance(other, UserString):
             return self.__class__(self.data + other.data)
         elif isinstance(other, str):
             return self.__class__(self.data + other)
         return self.__class__(self.data + str(other))
+
     def __radd__(self, other):
         if isinstance(other, str):
             return self.__class__(other + self.data)
         return self.__class__(str(other) + self.data)
+
     def __mul__(self, n):
-        return self.__class__(self.data*n)
+        return self.__class__(self.data * n)
+
     __rmul__ = __mul__
+
     def __mod__(self, args):
         return self.__class__(self.data % args)
+
     def __rmod__(self, template):
         return self.__class__(str(template) % self)
+
     # the following methods are defined in alphabetical order:
-    def capitalize(self): return self.__class__(self.data.capitalize())
+    def capitalize(self):
+        return self.__class__(self.data.capitalize())
+
     def casefold(self):
         return self.__class__(self.data.casefold())
+
     def center(self, width, *args):
         return self.__class__(self.data.center(width, *args))
+
     def count(self, sub, start=0, end=_sys.maxsize):
         if isinstance(sub, UserString):
             sub = sub.data
         return self.data.count(sub, start, end)
+
+    def removeprefix(self, prefix, /):
+        if isinstance(prefix, UserString):
+            prefix = prefix.data
+        return self.__class__(self.data.removeprefix(prefix))
+
+    def removesuffix(self, suffix, /):
+        if isinstance(suffix, UserString):
+            suffix = suffix.data
+        return self.__class__(self.data.removesuffix(suffix))
+
     def encode(self, encoding='utf-8', errors='strict'):
         encoding = 'utf-8' if encoding is None else encoding
         errors = 'strict' if errors is None else errors
         return self.data.encode(encoding, errors)
+
     def endswith(self, suffix, start=0, end=_sys.maxsize):
         return self.data.endswith(suffix, start, end)
+
     def expandtabs(self, tabsize=8):
         return self.__class__(self.data.expandtabs(tabsize))
+
     def find(self, sub, start=0, end=_sys.maxsize):
         if isinstance(sub, UserString):
             sub = sub.data
         return self.data.find(sub, start, end)
+
     def format(self, /, *args, **kwds):
         return self.data.format(*args, **kwds)
+
     def format_map(self, mapping):
         return self.data.format_map(mapping)
+
     def index(self, sub, start=0, end=_sys.maxsize):
         return self.data.index(sub, start, end)
-    def isalpha(self): return self.data.isalpha()
-    def isalnum(self): return self.data.isalnum()
-    def isascii(self): return self.data.isascii()
-    def isdecimal(self): return self.data.isdecimal()
-    def isdigit(self): return self.data.isdigit()
-    def isidentifier(self): return self.data.isidentifier()
-    def islower(self): return self.data.islower()
-    def isnumeric(self): return self.data.isnumeric()
-    def isprintable(self): return self.data.isprintable()
-    def isspace(self): return self.data.isspace()
-    def istitle(self): return self.data.istitle()
-    def isupper(self): return self.data.isupper()
-    def join(self, seq): return self.data.join(seq)
+
+    def isalpha(self):
+        return self.data.isalpha()
+
+    def isalnum(self):
+        return self.data.isalnum()
+
+    def isascii(self):
+        return self.data.isascii()
+
+    def isdecimal(self):
+        return self.data.isdecimal()
+
+    def isdigit(self):
+        return self.data.isdigit()
+
+    def isidentifier(self):
+        return self.data.isidentifier()
+
+    def islower(self):
+        return self.data.islower()
+
+    def isnumeric(self):
+        return self.data.isnumeric()
+
+    def isprintable(self):
+        return self.data.isprintable()
+
+    def isspace(self):
+        return self.data.isspace()
+
+    def istitle(self):
+        return self.data.istitle()
+
+    def isupper(self):
+        return self.data.isupper()
+
+    def join(self, seq):
+        return self.data.join(seq)
+
     def ljust(self, width, *args):
         return self.__class__(self.data.ljust(width, *args))
-    def lower(self): return self.__class__(self.data.lower())
-    def lstrip(self, chars=None): return self.__class__(self.data.lstrip(chars))
+
+    def lower(self):
+        return self.__class__(self.data.lower())
+
+    def lstrip(self, chars=None):
+        return self.__class__(self.data.lstrip(chars))
+
     maketrans = str.maketrans
+
     def partition(self, sep):
         return self.data.partition(sep)
+
     def replace(self, old, new, maxsplit=-1):
         if isinstance(old, UserString):
             old = old.data
         if isinstance(new, UserString):
             new = new.data
         return self.__class__(self.data.replace(old, new, maxsplit))
+
     def rfind(self, sub, start=0, end=_sys.maxsize):
         if isinstance(sub, UserString):
             sub = sub.data
         return self.data.rfind(sub, start, end)
+
     def rindex(self, sub, start=0, end=_sys.maxsize):
         return self.data.rindex(sub, start, end)
+
     def rjust(self, width, *args):
         return self.__class__(self.data.rjust(width, *args))
+
     def rpartition(self, sep):
         return self.data.rpartition(sep)
+
     def rstrip(self, chars=None):
         return self.__class__(self.data.rstrip(chars))
+
     def split(self, sep=None, maxsplit=-1):
         return self.data.split(sep, maxsplit)
+
     def rsplit(self, sep=None, maxsplit=-1):
         return self.data.rsplit(sep, maxsplit)
-    def splitlines(self, keepends=False): return self.data.splitlines(keepends)
+
+    def splitlines(self, keepends=False):
+        return self.data.splitlines(keepends)
+
     def startswith(self, prefix, start=0, end=_sys.maxsize):
         return self.data.startswith(prefix, start, end)
-    def strip(self, chars=None): return self.__class__(self.data.strip(chars))
-    def swapcase(self): return self.__class__(self.data.swapcase())
-    def title(self): return self.__class__(self.data.title())
+
+    def strip(self, chars=None):
+        return self.__class__(self.data.strip(chars))
+
+    def swapcase(self):
+        return self.__class__(self.data.swapcase())
+
+    def title(self):
+        return self.__class__(self.data.title())
+
     def translate(self, *args):
         return self.__class__(self.data.translate(*args))
-    def upper(self): return self.__class__(self.data.upper())
-    def zfill(self, width): return self.__class__(self.data.zfill(width))
+
+    def upper(self):
+        return self.__class__(self.data.upper())
+
+    def zfill(self, width):
+        return self.__class__(self.data.zfill(width))
 

 
           

@@ -1389,7 +1618,7 @@ 
Source code for collections
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/index.html b/docs/build/html/_modules/index.html
index d1f4d7cf..bf0e1e5c 100644
--- a/docs/build/html/_modules/index.html
+++ b/docs/build/html/_modules/index.html
@@ -128,7 +128,7 @@ 
All modules for which code is available

       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/plotly/offline/offline.html b/docs/build/html/_modules/plotly/offline/offline.html
index f45be670..3a9247a1 100644
--- a/docs/build/html/_modules/plotly/offline/offline.html
+++ b/docs/build/html/_modules/plotly/offline/offline.html
@@ -950,7 +950,7 @@ 
Source code for plotly.offline.offline
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/scipy/spatial/kdtree.html b/docs/build/html/_modules/scipy/spatial/kdtree.html
index e4fe7acf..6992b244 100644
--- a/docs/build/html/_modules/scipy/spatial/kdtree.html
+++ b/docs/build/html/_modules/scipy/spatial/kdtree.html
@@ -94,8 +94,8 @@ 
Source code for scipy.spatial.kdtree
 # Copyright Anne M. Archibald 2008
 # Released under the scipy license
 import numpy as np
-from heapq import heappush, heappop
-import scipy.sparse
+import warnings
+from .ckdtree import cKDTree, cKDTreeNode
 
 __all__ = ['minkowski_distance_p', 'minkowski_distance',
            'distance_matrix',
@@ -103,8 +103,7 @@ 
Source code for scipy.spatial.kdtree
 
 
 def minkowski_distance_p(x, y, p=2):
-    """
-    Compute the pth power of the L**p distance between two arrays.
+    """Compute the pth power of the L**p distance between two arrays.
 
     For efficiency, this function computes the L**p distance but does
     not extract the pth root. If `p` is 1 or infinity, this is equal to
@@ -146,8 +145,7 @@ 
Source code for scipy.spatial.kdtree
 
 
 def minkowski_distance(x, y, p=2):
-    """
-    Compute the L**p distance between two arrays.
+    """Compute the L**p distance between two arrays.
 
     Parameters
     ----------
@@ -173,7 +171,7 @@ 
Source code for scipy.spatial.kdtree
         return minkowski_distance_p(x, y, p)**(1./p)
 
 
-class Rectangle(object):
+class Rectangle:
     """Hyperrectangle class.
 
     Represents a Cartesian product of intervals.
@@ -192,8 +190,7 @@ 
Source code for scipy.spatial.kdtree
         return np.prod(self.maxes-self.mins)
 
     def split(self, d, split):
-        """
-        Produce two hyperrectangles by splitting.
+        """Produce two hyperrectangles by splitting.
 
         In general, if you need to compute maximum and minimum
         distances to the children, it can be done more efficiently
@@ -217,7 +214,8 @@ 
Source code for scipy.spatial.kdtree
 
     def min_distance_point(self, x, p=2.):
         """
-        Return the minimum distance between input and points in the hyperrectangle.
+        Return the minimum distance between input and points in the
+        hyperrectangle.
 
         Parameters
         ----------
@@ -227,7 +225,10 @@ 
Source code for scipy.spatial.kdtree
             Input.
 
         """
-        return minkowski_distance(0, np.maximum(0,np.maximum(self.mins-x,x-self.maxes)),p)
+        return minkowski_distance(
+            0, np.maximum(0, np.maximum(self.mins-x, x-self.maxes)),
+            p
+        )
 
     def max_distance_point(self, x, p=2.):
         """
@@ -241,7 +242,7 @@ 
Source code for scipy.spatial.kdtree
             Input.
 
         """
-        return minkowski_distance(0, np.maximum(self.maxes-x,x-self.mins),p)
+        return minkowski_distance(0, np.maximum(self.maxes-x, x-self.mins), p)
 
     def min_distance_rectangle(self, other, p=2.):
         """
@@ -255,7 +256,12 @@ 
Source code for scipy.spatial.kdtree
             Input.
 
         """
-        return minkowski_distance(0, np.maximum(0,np.maximum(self.mins-other.maxes,other.mins-self.maxes)),p)
+        return minkowski_distance(
+            0,
+            np.maximum(0, np.maximum(self.mins-other.maxes,
+                                     other.mins-self.maxes)),
+            p
+        )
 
     def max_distance_rectangle(self, other, p=2.):
         """
@@ -269,38 +275,46 @@ 
Source code for scipy.spatial.kdtree
             Input.
 
         """
-        return minkowski_distance(0, np.maximum(self.maxes-other.mins,other.maxes-self.mins),p)
+        return minkowski_distance(
+            0, np.maximum(self.maxes-other.mins, other.maxes-self.mins), p)
 
 
-
[docs]class KDTree(object):
-    """
-    kd-tree for quick nearest-neighbor lookup
+
[docs]class KDTree(cKDTree):
+    """kd-tree for quick nearest-neighbor lookup.
 
-    This class provides an index into a set of k-D points which
-    can be used to rapidly look up the nearest neighbors of any point.
+    This class provides an index into a set of k-dimensional points
+    which can be used to rapidly look up the nearest neighbors of any
+    point.
 
     Parameters
     ----------
-    data : (N,K) array_like
-        The data points to be indexed. This array is not copied, and
-        so modifying this data will result in bogus results.
-    leafsize : int, optional
+    data : array_like, shape (n,m)
+        The n data points of dimension m to be indexed. This array is
+        not copied unless this is necessary to produce a contiguous
+        array of doubles, and so modifying this data will result in
+        bogus results. The data are also copied if the kd-tree is built
+        with copy_data=True.
+    leafsize : positive int, optional
         The number of points at which the algorithm switches over to
-        brute-force.  Has to be positive.
-
-    Raises
-    ------
-    RuntimeError
-        The maximum recursion limit can be exceeded for large data
-        sets.  If this happens, either increase the value for the `leafsize`
-        parameter or increase the recursion limit by::
-
-            >>> import sys
-            >>> sys.setrecursionlimit(10000)
-
-    See Also
-    --------
-    cKDTree : Implementation of `KDTree` in Cython
+        brute-force.  Default: 10.
+    compact_nodes : bool, optional
+        If True, the kd-tree is built to shrink the hyperrectangles to
+        the actual data range. This usually gives a more compact tree that
+        is robust against degenerated input data and gives faster queries
+        at the expense of longer build time. Default: True.
+    copy_data : bool, optional
+        If True the data is always copied to protect the kd-tree against
+        data corruption. Default: False.
+    balanced_tree : bool, optional
+        If True, the median is used to split the hyperrectangles instead of
+        the midpoint. This usually gives a more compact tree and
+        faster queries at the expense of longer build time. Default: True.
+    boxsize : array_like or scalar, optional
+        Apply a m-d toroidal topology to the KDTree.. The topology is generated
+        by :math:`x_i + n_i L_i` where :math:`n_i` are integers and :math:`L_i`
+        is the boxsize along i-th dimension. The input data shall be wrapped
+        into :math:`[0, L_i)`. A ValueError is raised if any of the data is
+        outside of this bound.
 
     Notes
     -----
@@ -323,27 +337,45 @@ 
Source code for scipy.spatial.kdtree
     significantly faster than brute force. High-dimensional nearest-neighbor
     queries are a substantial open problem in computer science.
 
-    The tree also supports all-neighbors queries, both with arrays of points
-    and with other kd-trees. These do use a reasonably efficient algorithm,
-    but the kd-tree is not necessarily the best data structure for this
-    sort of calculation.
+    Attributes
+    ----------
+    data : ndarray, shape (n,m)
+        The n data points of dimension m to be indexed. This array is
+        not copied unless this is necessary to produce a contiguous
+        array of doubles. The data are also copied if the kd-tree is built
+        with `copy_data=True`.
+    leafsize : positive int
+        The number of points at which the algorithm switches over to
+        brute-force.
+    m : int
+        The dimension of a single data-point.
+    n : int
+        The number of data points.
+    maxes : ndarray, shape (m,)
+        The maximum value in each dimension of the n data points.
+    mins : ndarray, shape (m,)
+        The minimum value in each dimension of the n data points.
+    size : int
+        The number of nodes in the tree.
 
     """
-    def __init__(self, data, leafsize=10):
-        self.data = np.asarray(data)
-        if self.data.dtype.kind == 'c':
-            raise TypeError("KDTree does not work with complex data")
 
-        self.n, self.m = np.shape(self.data)
-        self.leafsize = int(leafsize)
-        if self.leafsize < 1:
-            raise ValueError("leafsize must be at least 1")
-        self.maxes = np.amax(self.data,axis=0)
-        self.mins = np.amin(self.data,axis=0)
+
[docs]    class node:
+        @staticmethod
+        def _create(ckdtree_node=None):
+            """Create either an inner or leaf node, wrapping a cKDTreeNode instance"""
+            if ckdtree_node is None:
+                return KDTree.node(ckdtree_node)
+            elif ckdtree_node.split_dim == -1:
+                return KDTree.leafnode(ckdtree_node)
+            else:
+                return KDTree.innernode(ckdtree_node)
 
-        self.tree = self.__build(np.arange(self.n), self.maxes, self.mins)
+        def __init__(self, ckdtree_node=None):
+            if ckdtree_node is None:
+                ckdtree_node = cKDTreeNode()
+            self._node = ckdtree_node
 
-
[docs]    class node(object):
         def __lt__(self, other):
             return id(self) < id(other)
 
@@ -360,327 +392,227 @@ 
Source code for scipy.spatial.kdtree
             return id(self) == id(other)

 
 
[docs]    class leafnode(node):
-        def __init__(self, idx):
-            self.idx = idx
-            self.children = len(idx)

+        @property
+        def idx(self):
+            return self._node.indices
+
+        @property
+        def children(self):
+            return self._node.children

 
 
[docs]    class innernode(node):
-        def __init__(self, split_dim, split, less, greater):
-            self.split_dim = split_dim
-            self.split = split
-            self.less = less
-            self.greater = greater
-            self.children = less.children+greater.children

-
-    def __build(self, idx, maxes, mins):
-        if len(idx) <= self.leafsize:
-            return KDTree.leafnode(idx)
-        else:
-            data = self.data[idx]
-            # maxes = np.amax(data,axis=0)
-            # mins = np.amin(data,axis=0)
-            d = np.argmax(maxes-mins)
-            maxval = maxes[d]
-            minval = mins[d]
-            if maxval == minval:
-                # all points are identical; warn user?
-                return KDTree.leafnode(idx)
-            data = data[:,d]
-
-            # sliding midpoint rule; see Maneewongvatana and Mount 1999
-            # for arguments that this is a good idea.
-            split = (maxval+minval)/2
-            less_idx = np.nonzero(data <= split)[0]
-            greater_idx = np.nonzero(data > split)[0]
-            if len(less_idx) == 0:
-                split = np.amin(data)
-                less_idx = np.nonzero(data <= split)[0]
-                greater_idx = np.nonzero(data > split)[0]
-            if len(greater_idx) == 0:
-                split = np.amax(data)
-                less_idx = np.nonzero(data < split)[0]
-                greater_idx = np.nonzero(data >= split)[0]
-            if len(less_idx) == 0:
-                # _still_ zero? all must have the same value
-                if not np.all(data == data[0]):
-                    raise ValueError("Troublesome data array: %s" % data)
-                split = data[0]
-                less_idx = np.arange(len(data)-1)
-                greater_idx = np.array([len(data)-1])
-
-            lessmaxes = np.copy(maxes)
-            lessmaxes[d] = split
-            greatermins = np.copy(mins)
-            greatermins[d] = split
-            return KDTree.innernode(d, split,
-                    self.__build(idx[less_idx],lessmaxes,mins),
-                    self.__build(idx[greater_idx],maxes,greatermins))
-
-    def __query(self, x, k=1, eps=0, p=2, distance_upper_bound=np.inf):
-
-        side_distances = np.maximum(0,np.maximum(x-self.maxes,self.mins-x))
-        if p != np.inf:
-            side_distances **= p
-            min_distance = np.sum(side_distances)
-        else:
-            min_distance = np.amax(side_distances)
-
-        # priority queue for chasing nodes
-        # entries are:
-        #  minimum distance between the cell and the target
-        #  distances between the nearest side of the cell and the target
-        #  the head node of the cell
-        q = [(min_distance,
-              tuple(side_distances),
-              self.tree)]
-        # priority queue for the nearest neighbors
-        # furthest known neighbor first
-        # entries are (-distance**p, i)
-        neighbors = []
-
-        if eps == 0:
-            epsfac = 1
-        elif p == np.inf:
-            epsfac = 1/(1+eps)
-        else:
-            epsfac = 1/(1+eps)**p
-
-        if p != np.inf and distance_upper_bound != np.inf:
-            distance_upper_bound = distance_upper_bound**p
-
-        while q:
-            min_distance, side_distances, node = heappop(q)
-            if isinstance(node, KDTree.leafnode):
-                # brute-force
-                data = self.data[node.idx]
-                ds = minkowski_distance_p(data,x[np.newaxis,:],p)
-                for i in range(len(ds)):
-                    if ds[i] < distance_upper_bound:
-                        if len(neighbors) == k:
-                            heappop(neighbors)
-                        heappush(neighbors, (-ds[i], node.idx[i]))
-                        if len(neighbors) == k:
-                            distance_upper_bound = -neighbors[0][0]
-            else:
-                # we don't push cells that are too far onto the queue at all,
-                # but since the distance_upper_bound decreases, we might get
-                # here even if the cell's too far
-                if min_distance > distance_upper_bound*epsfac:
-                    # since this is the nearest cell, we're done, bail out
-                    break
-                # compute minimum distances to the children and push them on
-                if x[node.split_dim] < node.split:
-                    near, far = node.less, node.greater
-                else:
-                    near, far = node.greater, node.less
-
-                # near child is at the same distance as the current node
-                heappush(q,(min_distance, side_distances, near))
-
-                # far child is further by an amount depending only
-                # on the split value
-                sd = list(side_distances)
-                if p == np.inf:
-                    min_distance = max(min_distance, abs(node.split-x[node.split_dim]))
-                elif p == 1:
-                    sd[node.split_dim] = np.abs(node.split-x[node.split_dim])
-                    min_distance = min_distance - side_distances[node.split_dim] + sd[node.split_dim]
-                else:
-                    sd[node.split_dim] = np.abs(node.split-x[node.split_dim])**p
-                    min_distance = min_distance - side_distances[node.split_dim] + sd[node.split_dim]
-
-                # far child might be too far, if so, don't bother pushing it
-                if min_distance <= distance_upper_bound*epsfac:
-                    heappush(q,(min_distance, tuple(sd), far))
-
-        if p == np.inf:
-            return sorted([(-d,i) for (d,i) in neighbors])
-        else:
-            return sorted([((-d)**(1./p),i) for (d,i) in neighbors])
+        def __init__(self, ckdtreenode):
+            assert isinstance(ckdtreenode, cKDTreeNode)
+            super().__init__(ckdtreenode)
+            self.less = KDTree.node._create(ckdtreenode.lesser)
+            self.greater = KDTree.node._create(ckdtreenode.greater)
+
+        @property
+        def split_dim(self):
+            return self._node.split_dim
+
+        @property
+        def split(self):
+            return self._node.split
+
+        @property
+        def children(self):
+            return self._node.children

+
+    @property
+    def tree(self):
+        if not hasattr(self, "_tree"):
+            self._tree = KDTree.node._create(super().tree)
+
+        return self._tree
+
+    def __init__(self, data, leafsize=10, compact_nodes=True, copy_data=False,
+                 balanced_tree=True, boxsize=None):
+        data = np.asarray(data)
+        if data.dtype.kind == 'c':
+            raise TypeError("KDTree does not work with complex data")
 
-
[docs]    def query(self, x, k=1, eps=0, p=2, distance_upper_bound=np.inf):
-        """
-        Query the kd-tree for nearest neighbors
+        # Note KDTree has different default leafsize from cKDTree
+        super().__init__(data, leafsize, compact_nodes, copy_data,
+                         balanced_tree, boxsize)
+
+
[docs]    def query(
+            self, x, k=1, eps=0, p=2, distance_upper_bound=np.inf, workers=1):
+        r"""Query the kd-tree for nearest neighbors.
 
         Parameters
         ----------
         x : array_like, last dimension self.m
             An array of points to query.
-        k : int, optional
-            The number of nearest neighbors to return.
+        k : int or Sequence[int], optional
+            Either the number of nearest neighbors to return, or a list of the
+            k-th nearest neighbors to return, starting from 1.
         eps : nonnegative float, optional
             Return approximate nearest neighbors; the kth returned value
             is guaranteed to be no further than (1+eps) times the
             distance to the real kth nearest neighbor.
         p : float, 1<=p<=infinity, optional
             Which Minkowski p-norm to use.
-            1 is the sum-of-absolute-values "Manhattan" distance
-            2 is the usual Euclidean distance
-            infinity is the maximum-coordinate-difference distance
+            1 is the sum-of-absolute-values distance ("Manhattan" distance).
+            2 is the usual Euclidean distance.
+            infinity is the maximum-coordinate-difference distance.
+            A large, finite p may cause a ValueError if overflow can occur.
         distance_upper_bound : nonnegative float, optional
             Return only neighbors within this distance. This is used to prune
             tree searches, so if you are doing a series of nearest-neighbor
             queries, it may help to supply the distance to the nearest neighbor
             of the most recent point.
+        workers : int, optional
+            Number of workers to use for parallel processing. If -1 is given
+            all CPU threads are used. Default: 1.
+
+            .. versionadded:: 1.6.0
 
         Returns
         -------
         d : float or array of floats
             The distances to the nearest neighbors.
-            If x has shape tuple+(self.m,), then d has shape tuple if
-            k is one, or tuple+(k,) if k is larger than one. Missing
-            neighbors (e.g. when k > n or distance_upper_bound is
-            given) are indicated with infinite distances.  If k is None,
-            then d is an object array of shape tuple, containing lists
-            of distances. In either case the hits are sorted by distance
-            (nearest first).
+            If ``x`` has shape ``tuple+(self.m,)``, then ``d`` has shape
+            ``tuple+(k,)``.
+            When k == 1, the last dimension of the output is squeezed.
+            Missing neighbors are indicated with infinite distances.
+            Hits are sorted by distance (nearest first).
+
+            .. deprecated:: 1.6.0
+               If ``k=None``, then ``d`` is an object array of shape ``tuple``,
+               containing lists of distances. This behavior is deprecated and
+               will be removed in SciPy 1.8.0, use ``query_ball_point``
+               instead.
+
         i : integer or array of integers
-            The locations of the neighbors in self.data. i is the same
-            shape as d.
+            The index of each neighbor in ``self.data``.
+            ``i`` is the same shape as d.
+            Missing neighbors are indicated with ``self.n``.
 
         Examples
         --------
-        >>> from scipy import spatial
+
+        >>> import numpy as np
+        >>> from scipy.spatial import KDTree
         >>> x, y = np.mgrid[0:5, 2:8]
-        >>> tree = spatial.KDTree(list(zip(x.ravel(), y.ravel())))
-        >>> tree.data
-        array([[0, 2],
-               [0, 3],
-               [0, 4],
-               [0, 5],
-               [0, 6],
-               [0, 7],
-               [1, 2],
-               [1, 3],
-               [1, 4],
-               [1, 5],
-               [1, 6],
-               [1, 7],
-               [2, 2],
-               [2, 3],
-               [2, 4],
-               [2, 5],
-               [2, 6],
-               [2, 7],
-               [3, 2],
-               [3, 3],
-               [3, 4],
-               [3, 5],
-               [3, 6],
-               [3, 7],
-               [4, 2],
-               [4, 3],
-               [4, 4],
-               [4, 5],
-               [4, 6],
-               [4, 7]])
-        >>> pts = np.array([[0, 0], [2.1, 2.9]])
-        >>> tree.query(pts)
-        (array([ 2.        ,  0.14142136]), array([ 0, 13]))
-        >>> tree.query(pts[0])
-        (2.0, 0)
+        >>> tree = KDTree(np.c_[x.ravel(), y.ravel()])
+
+        To query the nearest neighbours and return squeezed result, use
+
+        >>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=1)
+        >>> print(dd, ii, sep='\n')
+        [2.         0.2236068]
+        [ 0 13]
+
+        To query the nearest neighbours and return unsqueezed result, use
+
+        >>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=[1])
+        >>> print(dd, ii, sep='\n')
+        [[2.        ]
+         [0.2236068]]
+        [[ 0]
+         [13]]
+
+        To query the second nearest neighbours and return unsqueezed result,
+        use
+
+        >>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=[2])
+        >>> print(dd, ii, sep='\n')
+        [[2.23606798]
+         [0.80622577]]
+        [[ 6]
+         [19]]
+
+        To query the first and second nearest neighbours, use
+
+        >>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=2)
+        >>> print(dd, ii, sep='\n')
+        [[2.         2.23606798]
+         [0.2236068  0.80622577]]
+        [[ 0  6]
+         [13 19]]
+
+        or, be more specific
+
+        >>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=[1, 2])
+        >>> print(dd, ii, sep='\n')
+        [[2.         2.23606798]
+         [0.2236068  0.80622577]]
+        [[ 0  6]
+         [13 19]]
 
         """
         x = np.asarray(x)
         if x.dtype.kind == 'c':
             raise TypeError("KDTree does not work with complex data")
-        if np.shape(x)[-1] != self.m:
-            raise ValueError("x must consist of vectors of length %d but has shape %s" % (self.m, np.shape(x)))
-        if p < 1:
-            raise ValueError("Only p-norms with 1<=p<=infinity permitted")
-        retshape = np.shape(x)[:-1]
-        if retshape != ():
-            if k is None:
-                dd = np.empty(retshape,dtype=object)
-                ii = np.empty(retshape,dtype=object)
-            elif k > 1:
-                dd = np.empty(retshape+(k,),dtype=float)
-                dd.fill(np.inf)
-                ii = np.empty(retshape+(k,),dtype=int)
-                ii.fill(self.n)
-            elif k == 1:
-                dd = np.empty(retshape,dtype=float)
-                dd.fill(np.inf)
-                ii = np.empty(retshape,dtype=int)
-                ii.fill(self.n)
-            else:
-                raise ValueError("Requested %s nearest neighbors; acceptable numbers are integers greater than or equal to one, or None")
-            for c in np.ndindex(retshape):
-                hits = self.__query(x[c], k=k, eps=eps, p=p, distance_upper_bound=distance_upper_bound)
-                if k is None:
-                    dd[c] = [d for (d,i) in hits]
-                    ii[c] = [i for (d,i) in hits]
-                elif k > 1:
-                    for j in range(len(hits)):
-                        dd[c+(j,)], ii[c+(j,)] = hits[j]
-                elif k == 1:
-                    if len(hits) > 0:
-                        dd[c], ii[c] = hits[0]
-                    else:
-                        dd[c] = np.inf
-                        ii[c] = self.n
-            return dd, ii
-        else:
-            hits = self.__query(x, k=k, eps=eps, p=p, distance_upper_bound=distance_upper_bound)
-            if k is None:
-                return [d for (d,i) in hits], [i for (d,i) in hits]
-            elif k == 1:
-                if len(hits) > 0:
-                    return hits[0]
-                else:
-                    return np.inf, self.n
-            elif k > 1:
-                dd = np.empty(k,dtype=float)
-                dd.fill(np.inf)
-                ii = np.empty(k,dtype=int)
-                ii.fill(self.n)
-                for j in range(len(hits)):
-                    dd[j], ii[j] = hits[j]
-                return dd, ii
-            else:
-                raise ValueError("Requested %s nearest neighbors; acceptable numbers are integers greater than or equal to one, or None")

-
-    def __query_ball_point(self, x, r, p=2., eps=0):
-        R = Rectangle(self.maxes, self.mins)
-
-        def traverse_checking(node, rect):
-            if rect.min_distance_point(x, p) > r / (1. + eps):
-                return []
-            elif rect.max_distance_point(x, p) < r * (1. + eps):
-                return traverse_no_checking(node)
-            elif isinstance(node, KDTree.leafnode):
-                d = self.data[node.idx]
-                return node.idx[minkowski_distance(d, x, p) <= r].tolist()
-            else:
-                less, greater = rect.split(node.split_dim, node.split)
-                return traverse_checking(node.less, less) + \
-                       traverse_checking(node.greater, greater)
 
-        def traverse_no_checking(node):
-            if isinstance(node, KDTree.leafnode):
-                return node.idx.tolist()
-            else:
-                return traverse_no_checking(node.less) + \
-                       traverse_no_checking(node.greater)
+        if k is None:
+            # k=None, return all neighbors
+            warnings.warn(
+                "KDTree.query with k=None is deprecated and will be removed "
+                "in SciPy 1.8.0. Use KDTree.query_ball_point instead.",
+                DeprecationWarning)
+
+            # Convert index query to a lists of distance and index,
+            # sorted by distance
+            def inds_to_hits(point, neighbors):
+                dist = minkowski_distance(point, self.data[neighbors], p)
+                hits = sorted([(d, i) for d, i in zip(dist, neighbors)])
+                return [d for d, i in hits], [i for d, i in hits]
+
+            x = np.asarray(x, dtype=np.float64)
+            inds = super().query_ball_point(
+                x, distance_upper_bound, p, eps, workers)
+
+            if isinstance(inds, list):
+                return inds_to_hits(x, inds)
+
+            dists = np.empty_like(inds)
+            for idx in np.ndindex(inds.shape):
+                dists[idx], inds[idx] = inds_to_hits(x[idx], inds[idx])
+
+            return dists, inds
 
-        return traverse_checking(self.tree, R)
+        d, i = super().query(x, k, eps, p, distance_upper_bound, workers)
+        if isinstance(i, int):
+            i = np.intp(i)
+        return d, i

 
-
[docs]    def query_ball_point(self, x, r, p=2., eps=0):
+
[docs]    def query_ball_point(self, x, r, p=2., eps=0, workers=1,
+                         return_sorted=None, return_length=False):
         """Find all points within distance r of point(s) x.
 
         Parameters
         ----------
         x : array_like, shape tuple + (self.m,)
             The point or points to search for neighbors of.
-        r : positive float
-            The radius of points to return.
+        r : array_like, float
+            The radius of points to return, must broadcast to the length of x.
         p : float, optional
             Which Minkowski p-norm to use.  Should be in the range [1, inf].
+            A finite large p may cause a ValueError if overflow can occur.
         eps : nonnegative float, optional
             Approximate search. Branches of the tree are not explored if their
             nearest points are further than ``r / (1 + eps)``, and branches are
             added in bulk if their furthest points are nearer than
             ``r * (1 + eps)``.
+        workers : int, optional
+            Number of jobs to schedule for parallel processing. If -1 is given
+            all processors are used. Default: 1.
+
+            .. versionadded:: 1.6.0
+        return_sorted : bool, optional
+            Sorts returned indicies if True and does not sort them if False. If
+            None, does not sort single point queries, but does sort
+            multi-point queries which was the behavior before this option
+            was added.
+
+            .. versionadded:: 1.6.0
+        return_length: bool, optional
+            Return the number of points inside the radius instead of a list
+            of the indices.
+
+            .. versionadded:: 1.6.0
 
         Returns
         -------
@@ -701,7 +633,7 @@ 
Source code for scipy.spatial.kdtree
         >>> x, y = np.mgrid[0:5, 0:5]
         >>> points = np.c_[x.ravel(), y.ravel()]
         >>> tree = spatial.KDTree(points)
-        >>> tree.query_ball_point([2, 0], 1)
+        >>> sorted(tree.query_ball_point([2, 0], 1))
         [5, 10, 11, 15]
 
         Query multiple points and plot the results:
@@ -719,20 +651,13 @@ 
Source code for scipy.spatial.kdtree
         x = np.asarray(x)
         if x.dtype.kind == 'c':
             raise TypeError("KDTree does not work with complex data")
-        if x.shape[-1] != self.m:
-            raise ValueError("Searching for a %d-dimensional point in a "
-                             "%d-dimensional KDTree" % (x.shape[-1], self.m))
-        if len(x.shape) == 1:
-            return self.__query_ball_point(x, r, p, eps)
-        else:
-            retshape = x.shape[:-1]
-            result = np.empty(retshape, dtype=object)
-            for c in np.ndindex(retshape):
-                result[c] = self.__query_ball_point(x[c], r, p=p, eps=eps)
-            return result

+        return super().query_ball_point(
+            x, r, p, eps, workers, return_sorted, return_length)

 
 
[docs]    def query_ball_tree(self, other, r, p=2., eps=0):
-        """Find all pairs of points whose distance is at most r
+        """
+        Find all pairs of points between `self` and `other` whose distance is
+        at most r.
 
         Parameters
         ----------
@@ -755,54 +680,33 @@ 
Source code for scipy.spatial.kdtree
             For each element ``self.data[i]`` of this tree, ``results[i]`` is a
             list of the indices of its neighbors in ``other.data``.
 
-        """
-        results = [[] for i in range(self.n)]
-
-        def traverse_checking(node1, rect1, node2, rect2):
-            if rect1.min_distance_rectangle(rect2, p) > r/(1.+eps):
-                return
-            elif rect1.max_distance_rectangle(rect2, p) < r*(1.+eps):
-                traverse_no_checking(node1, node2)
-            elif isinstance(node1, KDTree.leafnode):
-                if isinstance(node2, KDTree.leafnode):
-                    d = other.data[node2.idx]
-                    for i in node1.idx:
-                        results[i] += node2.idx[minkowski_distance(d,self.data[i],p) <= r].tolist()
-                else:
-                    less, greater = rect2.split(node2.split_dim, node2.split)
-                    traverse_checking(node1,rect1,node2.less,less)
-                    traverse_checking(node1,rect1,node2.greater,greater)
-            elif isinstance(node2, KDTree.leafnode):
-                less, greater = rect1.split(node1.split_dim, node1.split)
-                traverse_checking(node1.less,less,node2,rect2)
-                traverse_checking(node1.greater,greater,node2,rect2)
-            else:
-                less1, greater1 = rect1.split(node1.split_dim, node1.split)
-                less2, greater2 = rect2.split(node2.split_dim, node2.split)
-                traverse_checking(node1.less,less1,node2.less,less2)
-                traverse_checking(node1.less,less1,node2.greater,greater2)
-                traverse_checking(node1.greater,greater1,node2.less,less2)
-                traverse_checking(node1.greater,greater1,node2.greater,greater2)
-
-        def traverse_no_checking(node1, node2):
-            if isinstance(node1, KDTree.leafnode):
-                if isinstance(node2, KDTree.leafnode):
-                    for i in node1.idx:
-                        results[i] += node2.idx.tolist()
-                else:
-                    traverse_no_checking(node1, node2.less)
-                    traverse_no_checking(node1, node2.greater)
-            else:
-                traverse_no_checking(node1.less, node2)
-                traverse_no_checking(node1.greater, node2)
+        Examples
+        --------
+        You can search all pairs of points between two kd-trees within a distance:
 
-        traverse_checking(self.tree, Rectangle(self.maxes, self.mins),
-                          other.tree, Rectangle(other.maxes, other.mins))
-        return results

+        >>> import matplotlib.pyplot as plt
+        >>> import numpy as np
+        >>> from scipy.spatial import KDTree
+        >>> rng = np.random.default_rng()
+        >>> points1 = rng.random((15, 2))
+        >>> points2 = rng.random((15, 2))
+        >>> plt.figure(figsize=(6, 6))
+        >>> plt.plot(points1[:, 0], points1[:, 1], "xk", markersize=14)
+        >>> plt.plot(points2[:, 0], points2[:, 1], "og", markersize=14)
+        >>> kd_tree1 = KDTree(points1)
+        >>> kd_tree2 = KDTree(points2)
+        >>> indexes = kd_tree1.query_ball_tree(kd_tree2, r=0.2)
+        >>> for i in range(len(indexes)):
+        ...     for j in indexes[i]:
+        ...         plt.plot([points1[i, 0], points2[j, 0]],
+        ...             [points1[i, 1], points2[j, 1]], "-r")
+        >>> plt.show()
 
-
[docs]    def query_pairs(self, r, p=2., eps=0):
-        """
-        Find all pairs of points within a distance.
+        """
+        return super().query_ball_tree(other, r, p, eps)

+
+
[docs]    def query_pairs(self, r, p=2., eps=0, output_type='set'):
+        """Find all pairs of points in `self` whose distance is at most r.
 
         Parameters
         ----------
@@ -816,177 +720,190 @@ 
Source code for scipy.spatial.kdtree
             if their nearest points are further than ``r/(1+eps)``, and
             branches are added in bulk if their furthest points are nearer
             than ``r * (1+eps)``.  `eps` has to be non-negative.
+        output_type : string, optional
+            Choose the output container, 'set' or 'ndarray'. Default: 'set'
+
+            .. versionadded:: 1.6.0
 
         Returns
         -------
-        results : set
+        results : set or ndarray
             Set of pairs ``(i,j)``, with ``i < j``, for which the corresponding
-            positions are close.
+            positions are close. If output_type is 'ndarray', an ndarry is
+            returned instead of a set.
+
+        Examples
+        --------
+        You can search all pairs of points in a kd-tree within a distance:
+
+        >>> import matplotlib.pyplot as plt
+        >>> import numpy as np
+        >>> from scipy.spatial import KDTree
+        >>> rng = np.random.default_rng()
+        >>> points = rng.random((20, 2))
+        >>> plt.figure(figsize=(6, 6))
+        >>> plt.plot(points[:, 0], points[:, 1], "xk", markersize=14)
+        >>> kd_tree = KDTree(points)
+        >>> pairs = kd_tree.query_pairs(r=0.2)
+        >>> for (i, j) in pairs:
+        ...     plt.plot([points[i, 0], points[j, 0]],
+        ...             [points[i, 1], points[j, 1]], "-r")
+        >>> plt.show()
 
         """
-        results = set()
-
-        def traverse_checking(node1, rect1, node2, rect2):
-            if rect1.min_distance_rectangle(rect2, p) > r/(1.+eps):
-                return
-            elif rect1.max_distance_rectangle(rect2, p) < r*(1.+eps):
-                traverse_no_checking(node1, node2)
-            elif isinstance(node1, KDTree.leafnode):
-                if isinstance(node2, KDTree.leafnode):
-                    # Special care to avoid duplicate pairs
-                    if id(node1) == id(node2):
-                        d = self.data[node2.idx]
-                        for i in node1.idx:
-                            for j in node2.idx[minkowski_distance(d,self.data[i],p) <= r]:
-                                if i < j:
-                                    results.add((i,j))
-                    else:
-                        d = self.data[node2.idx]
-                        for i in node1.idx:
-                            for j in node2.idx[minkowski_distance(d,self.data[i],p) <= r]:
-                                if i < j:
-                                    results.add((i,j))
-                                elif j < i:
-                                    results.add((j,i))
-                else:
-                    less, greater = rect2.split(node2.split_dim, node2.split)
-                    traverse_checking(node1,rect1,node2.less,less)
-                    traverse_checking(node1,rect1,node2.greater,greater)
-            elif isinstance(node2, KDTree.leafnode):
-                less, greater = rect1.split(node1.split_dim, node1.split)
-                traverse_checking(node1.less,less,node2,rect2)
-                traverse_checking(node1.greater,greater,node2,rect2)
-            else:
-                less1, greater1 = rect1.split(node1.split_dim, node1.split)
-                less2, greater2 = rect2.split(node2.split_dim, node2.split)
-                traverse_checking(node1.less,less1,node2.less,less2)
-                traverse_checking(node1.less,less1,node2.greater,greater2)
-
-                # Avoid traversing (node1.less, node2.greater) and
-                # (node1.greater, node2.less) (it's the same node pair twice
-                # over, which is the source of the complication in the
-                # original KDTree.query_pairs)
-                if id(node1) != id(node2):
-                    traverse_checking(node1.greater,greater1,node2.less,less2)
-
-                traverse_checking(node1.greater,greater1,node2.greater,greater2)
-
-        def traverse_no_checking(node1, node2):
-            if isinstance(node1, KDTree.leafnode):
-                if isinstance(node2, KDTree.leafnode):
-                    # Special care to avoid duplicate pairs
-                    if id(node1) == id(node2):
-                        for i in node1.idx:
-                            for j in node2.idx:
-                                if i < j:
-                                    results.add((i,j))
-                    else:
-                        for i in node1.idx:
-                            for j in node2.idx:
-                                if i < j:
-                                    results.add((i,j))
-                                elif j < i:
-                                    results.add((j,i))
-                else:
-                    traverse_no_checking(node1, node2.less)
-                    traverse_no_checking(node1, node2.greater)
-            else:
-                # Avoid traversing (node1.less, node2.greater) and
-                # (node1.greater, node2.less) (it's the same node pair twice
-                # over, which is the source of the complication in the
-                # original KDTree.query_pairs)
-                if id(node1) == id(node2):
-                    traverse_no_checking(node1.less, node2.less)
-                    traverse_no_checking(node1.less, node2.greater)
-                    traverse_no_checking(node1.greater, node2.greater)
-                else:
-                    traverse_no_checking(node1.less, node2)
-                    traverse_no_checking(node1.greater, node2)
-
-        traverse_checking(self.tree, Rectangle(self.maxes, self.mins),
-                          self.tree, Rectangle(self.maxes, self.mins))
-        return results

-
-
[docs]    def count_neighbors(self, other, r, p=2.):
-        """
-        Count how many nearby pairs can be formed.
+        return super().query_pairs(r, p, eps, output_type)

+
+
[docs]    def count_neighbors(self, other, r, p=2., weights=None, cumulative=True):
+        """Count how many nearby pairs can be formed.
 
-        Count the number of pairs (x1,x2) can be formed, with x1 drawn
-        from self and x2 drawn from ``other``, and where
+        Count the number of pairs ``(x1,x2)`` can be formed, with ``x1`` drawn
+        from ``self`` and ``x2`` drawn from ``other``, and where
         ``distance(x1, x2, p) <= r``.
-        This is the "two-point correlation" described in Gray and Moore 2000,
-        "N-body problems in statistical learning", and the code here is based
-        on their algorithm.
+
+        Data points on ``self`` and ``other`` are optionally weighted by the
+        ``weights`` argument. (See below)
+
+        This is adapted from the "two-point correlation" algorithm described by
+        Gray and Moore [1]_.  See notes for further discussion.
 
         Parameters
         ----------
-        other : KDTree instance
-            The other tree to draw points from.
+        other : KDTree
+            The other tree to draw points from, can be the same tree as self.
         r : float or one-dimensional array of floats
             The radius to produce a count for. Multiple radii are searched with
             a single tree traversal.
-        p : float, 1<=p<=infinity, optional
-            Which Minkowski p-norm to use
+            If the count is non-cumulative(``cumulative=False``), ``r`` defines
+            the edges of the bins, and must be non-decreasing.
+        p : float, optional
+            1<=p<=infinity.
+            Which Minkowski p-norm to use.
+            Default 2.0.
+            A finite large p may cause a ValueError if overflow can occur.
+        weights : tuple, array_like, or None, optional
+            If None, the pair-counting is unweighted.
+            If given as a tuple, weights[0] is the weights of points in
+            ``self``, and weights[1] is the weights of points in ``other``;
+            either can be None to indicate the points are unweighted.
+            If given as an array_like, weights is the weights of points in
+            ``self`` and ``other``. For this to make sense, ``self`` and
+            ``other`` must be the same tree. If ``self`` and ``other`` are two
+            different trees, a ``ValueError`` is raised.
+            Default: None
+
+            .. versionadded:: 1.6.0
+        cumulative : bool, optional
+            Whether the returned counts are cumulative. When cumulative is set
+            to ``False`` the algorithm is optimized to work with a large number
+            of bins (>10) specified by ``r``. When ``cumulative`` is set to
+            True, the algorithm is optimized to work with a small number of
+            ``r``. Default: True
+
+            .. versionadded:: 1.6.0
 
         Returns
         -------
-        result : int or 1-D array of ints
-            The number of pairs. Note that this is internally stored in a numpy
-            int, and so may overflow if very large (2e9).
+        result : scalar or 1-D array
+            The number of pairs. For unweighted counts, the result is integer.
+            For weighted counts, the result is float.
+            If cumulative is False, ``result[i]`` contains the counts with
+            ``(-inf if i == 0 else r[i-1]) < R <= r[i]``
+
+        Notes
+        -----
+        Pair-counting is the basic operation used to calculate the two point
+        correlation functions from a data set composed of position of objects.
+
+        Two point correlation function measures the clustering of objects and
+        is widely used in cosmology to quantify the large scale structure
+        in our Universe, but it may be useful for data analysis in other fields
+        where self-similar assembly of objects also occur.
+
+        The Landy-Szalay estimator for the two point correlation function of
+        ``D`` measures the clustering signal in ``D``. [2]_
+
+        For example, given the position of two sets of objects,
+
+        - objects ``D`` (data) contains the clustering signal, and
+
+        - objects ``R`` (random) that contains no signal,
+
+        .. math::
+
+             \\xi(r) = \\frac{<D, D> - 2 f <D, R> + f^2<R, R>}{f^2<R, R>},
+
+        where the brackets represents counting pairs between two data sets
+        in a finite bin around ``r`` (distance), corresponding to setting
+        `cumulative=False`, and ``f = float(len(D)) / float(len(R))`` is the
+        ratio between number of objects from data and random.
+
+        The algorithm implemented here is loosely based on the dual-tree
+        algorithm described in [1]_. We switch between two different
+        pair-cumulation scheme depending on the setting of ``cumulative``.
+        The computing time of the method we use when for
+        ``cumulative == False`` does not scale with the total number of bins.
+        The algorithm for ``cumulative == True`` scales linearly with the
+        number of bins, though it is slightly faster when only
+        1 or 2 bins are used. [5]_.
+
+        As an extension to the naive pair-counting,
+        weighted pair-counting counts the product of weights instead
+        of number of pairs.
+        Weighted pair-counting is used to estimate marked correlation functions
+        ([3]_, section 2.2),
+        or to properly calculate the average of data per distance bin
+        (e.g. [4]_, section 2.1 on redshift).
+
+        .. [1] Gray and Moore,
+               "N-body problems in statistical learning",
+               Mining the sky, 2000,
+               https://arxiv.org/abs/astro-ph/0012333
+
+        .. [2] Landy and Szalay,
+               "Bias and variance of angular correlation functions",
+               The Astrophysical Journal, 1993,
+               http://adsabs.harvard.edu/abs/1993ApJ...412...64L
+
+        .. [3] Sheth, Connolly and Skibba,
+               "Marked correlations in galaxy formation models",
+               Arxiv e-print, 2005,
+               https://arxiv.org/abs/astro-ph/0511773
+
+        .. [4] Hawkins, et al.,
+               "The 2dF Galaxy Redshift Survey: correlation functions,
+               peculiar velocities and the matter density of the Universe",
+               Monthly Notices of the Royal Astronomical Society, 2002,
+               http://adsabs.harvard.edu/abs/2003MNRAS.346...78H
+
+        .. [5] https://github.com/scipy/scipy/pull/5647#issuecomment-168474926
+
+        Examples
+        --------
+        You can count neighbors number between two kd-trees within a distance:
+
+        >>> import numpy as np
+        >>> from scipy.spatial import KDTree
+        >>> rng = np.random.default_rng()
+        >>> points1 = rng.random((5, 2))
+        >>> points2 = rng.random((5, 2))
+        >>> kd_tree1 = KDTree(points1)
+        >>> kd_tree2 = KDTree(points2)
+        >>> kd_tree1.count_neighbors(kd_tree2, 0.2)
+        1
+
+        This number is same as the total pair number calculated by
+        `query_ball_tree`:
+
+        >>> indexes = kd_tree1.query_ball_tree(kd_tree2, r=0.2)
+        >>> sum([len(i) for i in indexes])
+        1
 
         """
-        def traverse(node1, rect1, node2, rect2, idx):
-            min_r = rect1.min_distance_rectangle(rect2,p)
-            max_r = rect1.max_distance_rectangle(rect2,p)
-            c_greater = r[idx] > max_r
-            result[idx[c_greater]] += node1.children*node2.children
-            idx = idx[(min_r <= r[idx]) & (r[idx] <= max_r)]
-            if len(idx) == 0:
-                return
-
-            if isinstance(node1,KDTree.leafnode):
-                if isinstance(node2,KDTree.leafnode):
-                    ds = minkowski_distance(self.data[node1.idx][:,np.newaxis,:],
-                                  other.data[node2.idx][np.newaxis,:,:],
-                                  p).ravel()
-                    ds.sort()
-                    result[idx] += np.searchsorted(ds,r[idx],side='right')
-                else:
-                    less, greater = rect2.split(node2.split_dim, node2.split)
-                    traverse(node1, rect1, node2.less, less, idx)
-                    traverse(node1, rect1, node2.greater, greater, idx)
-            else:
-                if isinstance(node2,KDTree.leafnode):
-                    less, greater = rect1.split(node1.split_dim, node1.split)
-                    traverse(node1.less, less, node2, rect2, idx)
-                    traverse(node1.greater, greater, node2, rect2, idx)
-                else:
-                    less1, greater1 = rect1.split(node1.split_dim, node1.split)
-                    less2, greater2 = rect2.split(node2.split_dim, node2.split)
-                    traverse(node1.less,less1,node2.less,less2,idx)
-                    traverse(node1.less,less1,node2.greater,greater2,idx)
-                    traverse(node1.greater,greater1,node2.less,less2,idx)
-                    traverse(node1.greater,greater1,node2.greater,greater2,idx)
-
-        R1 = Rectangle(self.maxes, self.mins)
-        R2 = Rectangle(other.maxes, other.mins)
-        if np.shape(r) == ():
-            r = np.array([r])
-            result = np.zeros(1,dtype=int)
-            traverse(self.tree, R1, other.tree, R2, np.arange(1))
-            return result[0]
-        elif len(np.shape(r)) == 1:
-            r = np.asarray(r)
-            n, = r.shape
-            result = np.zeros(n,dtype=int)
-            traverse(self.tree, R1, other.tree, R2, np.arange(n))
-            return result
-        else:
-            raise ValueError("r must be either a single value or a one-dimensional array of values")

+        return super().count_neighbors(other, r, p, weights, cumulative)

 
-
[docs]    def sparse_distance_matrix(self, other, max_distance, p=2.):
-        """
-        Compute a sparse distance matrix
+
[docs]    def sparse_distance_matrix(
+            self, other, max_distance, p=2., output_type='dok_matrix'):
+        """Compute a sparse distance matrix.
 
         Computes a distance matrix between two KDTrees, leaving as zero
         any distance greater than max_distance.
@@ -997,50 +914,60 @@ 
Source code for scipy.spatial.kdtree
 
         max_distance : positive float
 
-        p : float, optional
+        p : float, 1<=p<=infinity
+            Which Minkowski p-norm to use.
+            A finite large p may cause a ValueError if overflow can occur.
+
+        output_type : string, optional
+            Which container to use for output data. Options: 'dok_matrix',
+            'coo_matrix', 'dict', or 'ndarray'. Default: 'dok_matrix'.
+
+            .. versionadded:: 1.6.0
 
         Returns
         -------
-        result : dok_matrix
-            Sparse matrix representing the results in "dictionary of keys" format.
+        result : dok_matrix, coo_matrix, dict or ndarray
+            Sparse matrix representing the results in "dictionary of keys"
+            format. If a dict is returned the keys are (i,j) tuples of indices.
+            If output_type is 'ndarray' a record array with fields 'i', 'j',
+            and 'v' is returned,
 
-        """
-        result = scipy.sparse.dok_matrix((self.n,other.n))
-
-        def traverse(node1, rect1, node2, rect2):
-            if rect1.min_distance_rectangle(rect2, p) > max_distance:
-                return
-            elif isinstance(node1, KDTree.leafnode):
-                if isinstance(node2, KDTree.leafnode):
-                    for i in node1.idx:
-                        for j in node2.idx:
-                            d = minkowski_distance(self.data[i],other.data[j],p)
-                            if d <= max_distance:
-                                result[i,j] = d
-                else:
-                    less, greater = rect2.split(node2.split_dim, node2.split)
-                    traverse(node1,rect1,node2.less,less)
-                    traverse(node1,rect1,node2.greater,greater)
-            elif isinstance(node2, KDTree.leafnode):
-                less, greater = rect1.split(node1.split_dim, node1.split)
-                traverse(node1.less,less,node2,rect2)
-                traverse(node1.greater,greater,node2,rect2)
-            else:
-                less1, greater1 = rect1.split(node1.split_dim, node1.split)
-                less2, greater2 = rect2.split(node2.split_dim, node2.split)
-                traverse(node1.less,less1,node2.less,less2)
-                traverse(node1.less,less1,node2.greater,greater2)
-                traverse(node1.greater,greater1,node2.less,less2)
-                traverse(node1.greater,greater1,node2.greater,greater2)
-        traverse(self.tree, Rectangle(self.maxes, self.mins),
-                 other.tree, Rectangle(other.maxes, other.mins))
+        Examples
+        --------
+        You can compute a sparse distance matrix between two kd-trees:
+
+        >>> import numpy as np
+        >>> from scipy.spatial import KDTree
+        >>> rng = np.random.default_rng()
+        >>> points1 = rng.random((5, 2))
+        >>> points2 = rng.random((5, 2))
+        >>> kd_tree1 = KDTree(points1)
+        >>> kd_tree2 = KDTree(points2)
+        >>> sdm = kd_tree1.sparse_distance_matrix(kd_tree2, 0.3)
+        >>> sdm.toarray()
+        array([[0.        , 0.        , 0.12295571, 0.        , 0.        ],
+           [0.        , 0.        , 0.        , 0.        , 0.        ],
+           [0.28942611, 0.        , 0.        , 0.2333084 , 0.        ],
+           [0.        , 0.        , 0.        , 0.        , 0.        ],
+           [0.24617575, 0.29571802, 0.26836782, 0.        , 0.        ]])
+
+        You can check distances above the `max_distance` are zeros:
+
+        >>> from scipy.spatial import distance_matrix
+        >>> distance_matrix(points1, points2)
+        array([[0.56906522, 0.39923701, 0.12295571, 0.8658745 , 0.79428925],
+           [0.37327919, 0.7225693 , 0.87665969, 0.32580855, 0.75679479],
+           [0.28942611, 0.30088013, 0.6395831 , 0.2333084 , 0.33630734],
+           [0.31994999, 0.72658602, 0.71124834, 0.55396483, 0.90785663],
+           [0.24617575, 0.29571802, 0.26836782, 0.57714465, 0.6473269 ]])
 
-        return result

+        """
+        return super().sparse_distance_matrix(
+            other, max_distance, p, output_type)

 
 
 def distance_matrix(x, y, p=2, threshold=1000000):
-    """
-    Compute the distance matrix.
+    """Compute the distance matrix.
 
     Returns the matrix of all pair-wise distances.
 
@@ -1109,7 +1036,7 @@ 
Source code for scipy.spatial.kdtree
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/spatialpy/core/boundarycondition.html b/docs/build/html/_modules/spatialpy/core/boundarycondition.html
index 514b800d..cb78923f 100644
--- a/docs/build/html/_modules/spatialpy/core/boundarycondition.html
+++ b/docs/build/html/_modules/spatialpy/core/boundarycondition.html
@@ -124,7 +124,7 @@ 
Source code for spatialpy.core.boundarycondition

          - type_id: type (subdomain) of the partciles
     Targets (one of the following must be set):
         property: (str), 'nu', 'rho','v'
-        species: (str) name of a chemical species.
+        species: (str) name of a chemical species. \
                    Must also set deterministic=True/False flag.
 
     :param xmin: x-axis coordinate lower bound of **condition**
@@ -152,7 +152,7 @@ 
Source code for spatialpy.core.boundarycondition

     and applies to deterministic simulation. **BoundaryCondition not yet implemeneted for Stochastic Species**.
     :type deterministic: bool
 
-    :param target: Set **target** to properties, can be 'nu' 'rho' or 'v' or species name
+    :param target: Set **target** to properties, can be 'nu' 'rho' or 'v' or species name \
     If species name, determinstic must also be set to True/False.
     :type target: str
 
@@ -277,7 +277,7 @@ 
Source code for spatialpy.core.boundarycondition

       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/spatialpy/core/cleanup.html b/docs/build/html/_modules/spatialpy/core/cleanup.html
index 81d264d1..e5d3fe39 100644
--- a/docs/build/html/_modules/spatialpy/core/cleanup.html
+++ b/docs/build/html/_modules/spatialpy/core/cleanup.html
@@ -199,7 +199,7 @@ 
Source code for spatialpy.core.cleanup
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/spatialpy/core/datafunction.html b/docs/build/html/_modules/spatialpy/core/datafunction.html
index 97cecec1..f4275e2c 100644
--- a/docs/build/html/_modules/spatialpy/core/datafunction.html
+++ b/docs/build/html/_modules/spatialpy/core/datafunction.html
@@ -116,6 +116,8 @@ 
Source code for spatialpy.core.datafunction
 
     :param name: Name of the Data Function.
     :type name: str
+
+    :raises DataFunctionError: If a name is not provided.
     """
 
     def __init__(self, name=None):
@@ -157,7 +159,7 @@ 
Source code for spatialpy.core.datafunction
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/spatialpy/core/domain.html b/docs/build/html/_modules/spatialpy/core/domain.html
index dd647154..b7adf18a 100644
--- a/docs/build/html/_modules/spatialpy/core/domain.html
+++ b/docs/build/html/_modules/spatialpy/core/domain.html
@@ -225,10 +225,10 @@ 
Source code for spatialpy.core.domain
 
 
[docs]    def compile_prep(self):
         """
-        Generate the domain list of type ids and check for invalid type_ids and rho values
+        Generate the domains list of type ids and check for invalid type_ids and rho values
         in preperation of compiling the simulation files.
 
-        :raises DomainError: If a type_id is not set or rh for a particle is 0.
+        :raises DomainError: If a type_id is not set or rho=0 for a particle.
         """
         if self.type_id.tolist().count(None) > 0:
             raise DomainError(f"Particles must be assigned a type_id.")
@@ -243,7 +243,7 @@ 
Source code for spatialpy.core.domain
         Add a single point particle to the domain space.
 
         :param point: Spatial coordinate vertices of point to be added
-        :type point: tuple(float, float, float) or tuple(float, float)
+        :type point: tuple(float, float, float)
 
         :param vol: Default volume of particle to be added
         :type vol: float
@@ -251,19 +251,19 @@ 
Source code for spatialpy.core.domain
         :param mass: Default mass of particle to be added
         :type mass: float
 
-        :param type_id: Particle type ID of particle to be created
+        :param type_id: Particle type ID of particle to be craddedeated
         :type type_id: str | int
 
-        :param nu: Default viscosity of particle to be created
+        :param nu: Default viscosity of particle to be added
         :type nu: float
 
         :param fixed: True if particle is spatially fixed, else False
         :type fixed: bool
 
-        :param c: Default artificial speed of sound of particle to be created
+        :param c: Default artificial speed of sound of particle to be added
         :type c: float
 
-        :param rho: Default density of particle to be created
+        :param rho: Default density of particle to be added
         :type rho: float
 
         :raises DomainError: Type_id is 0 or type_id contains an invalid character.
@@ -297,9 +297,9 @@ 
Source code for spatialpy.core.domain
         """
         Add a type definition to the domain. By default, all regions are set to type 0.
 
-        :param geometry_ivar: an instance of a 'spatialpy.Geometry' subclass.  The 'inside()' method
+        :param geometry_ivar: an instance of a :py:class:`Geometry` subclass.  The 'inside()' method
                    of this object will be used to assign properties to points.
-        :type geometry_ivar: spatialpy.Geometry.Geometry
+        :type geometry_ivar: spatialpy.geometry.Geometry
 
         :param type_id: The identifier for this type.
         :type type_id: str | int
@@ -394,8 +394,7 @@ 
Source code for spatialpy.core.domain
         :param zmax: Maximum z value of the bounding box (defaults to Domain.zlim[1]).
         :type zmax: float
 
-        :param kwargs: Key word arguments for Domain.add_point.
-        :type kwargs: dict
+        :param \**kwargs: addition keyword arguments passed to :py:meth:`Domain.add_point`.
 
         :returns: The number of particles that were created within this geometry.
         :rtype: int
@@ -509,10 +508,10 @@ 
Source code for spatialpy.core.domain
         Get distance between 2 domain vertices.
 
         :param start: Starting point
-        :type start: tuple(float, float, float) or tuple(float, float)
+        :type start: tuple(float, float, float)
 
         :param end: Ending point
-        :type end: tuple(float, float, float) or tuple(float, float)
+        :type end: tuple(float, float, float)
 
         :returns: a distance measurement between start and end point
         :rtype: float
@@ -524,7 +523,7 @@ 
Source code for spatialpy.core.domain
         Find the nearest vertex of a given point in the domain.
 
         :param point: Target source point
-        :type point: tuple(float, float, float) or tuple(float, float)
+        :type point: tuple(float, float, float)
 
         :returns: The coordinates of the nearest vertex to the source point.
         :rtype: tuple(float, float, float) or tuple(float, float)
@@ -948,20 +947,13 @@ 
Source code for spatialpy.core.domain
         :type c: float
 
         :param rho: default density of particles to be created.
-        :type rho:
+        :type rho: float
 
         :param fixed: spatially fixed flag of particles to be created. Defaults to false.
         :type fixed: bool
 
-        :param rho0: background density for the system. Defaults to 1.0
-        :type rho0: float
-
-        :param c0: speed of sound for the system. Defaults to 10
-        :type c0: float
-
-        :param P0: background pressure for the system. Defaults to 10
-        :type P0: float
-
+        :param \**kwargs: addition keyword arguments passed to :py:class:`Domain`.
+        
         :returns: Uniform 3D SpatialPy Domain object.
         :rtype: spatialpy.Domain.Domain
         """
@@ -1014,19 +1006,12 @@ 
Source code for spatialpy.core.domain
         :type c: float
 
         :param rho: default density of particles to be created.
-        :type rho:
+        :type rho: float
 
         :param fixed: spatially fixed flag of particles to be created. Defaults to false.
         :type fixed: bool
 
-        :param rho0: background density for the system. Defaults to 1.0
-        :type rho0: float
-
-        :param c0: speed of sound for the system. Defaults to 10
-        :type c0: float
-
-        :param P0: background pressure for the system. Defaults to 10
-        :type P0: float
+        :param \**kwargs: addition keyword arguments passed to :py:class:`Domain`.
 
         :returns: Uniform 2D SpatialPy Domain object.
         :rtype: spatialpy.Domain.Domain
@@ -1065,7 +1050,7 @@ 
Source code for spatialpy.core.domain
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/spatialpy/core/geometry.html b/docs/build/html/_modules/spatialpy/core/geometry.html
index bbdc26dc..df0a2100 100644
--- a/docs/build/html/_modules/spatialpy/core/geometry.html
+++ b/docs/build/html/_modules/spatialpy/core/geometry.html
@@ -201,7 +201,7 @@ 
Source code for spatialpy.core.geometry
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/spatialpy/core/initialcondition.html b/docs/build/html/_modules/spatialpy/core/initialcondition.html
index 13d3e41e..cb3c93a8 100644
--- a/docs/build/html/_modules/spatialpy/core/initialcondition.html
+++ b/docs/build/html/_modules/spatialpy/core/initialcondition.html
@@ -294,7 +294,7 @@ 
Source code for spatialpy.core.initialcondition
<
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/spatialpy/core/model.html b/docs/build/html/_modules/spatialpy/core/model.html
index 5f5db543..53d202c1 100644
--- a/docs/build/html/_modules/spatialpy/core/model.html
+++ b/docs/build/html/_modules/spatialpy/core/model.html
@@ -856,7 +856,7 @@ 
Source code for spatialpy.core.model
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/spatialpy/core/parameter.html b/docs/build/html/_modules/spatialpy/core/parameter.html
index a1bd41b0..c3259fed 100644
--- a/docs/build/html/_modules/spatialpy/core/parameter.html
+++ b/docs/build/html/_modules/spatialpy/core/parameter.html
@@ -181,7 +181,7 @@ 
Source code for spatialpy.core.parameter
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/spatialpy/core/reaction.html b/docs/build/html/_modules/spatialpy/core/reaction.html
index 3525a238..f3f0cadd 100644
--- a/docs/build/html/_modules/spatialpy/core/reaction.html
+++ b/docs/build/html/_modules/spatialpy/core/reaction.html
@@ -386,7 +386,7 @@ 
Source code for spatialpy.core.reaction
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/spatialpy/core/result.html b/docs/build/html/_modules/spatialpy/core/result.html
index 1eff9884..f99c972e 100644
--- a/docs/build/html/_modules/spatialpy/core/result.html
+++ b/docs/build/html/_modules/spatialpy/core/result.html
@@ -992,7 +992,7 @@ 
Source code for spatialpy.core.result
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/spatialpy/core/spatialpyerror.html b/docs/build/html/_modules/spatialpy/core/spatialpyerror.html
index 2cf15b1b..c511a67e 100644
--- a/docs/build/html/_modules/spatialpy/core/spatialpyerror.html
+++ b/docs/build/html/_modules/spatialpy/core/spatialpyerror.html
@@ -207,7 +207,7 @@ 
Source code for spatialpy.core.spatialpyerror
Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/spatialpy/core/species.html b/docs/build/html/_modules/spatialpy/core/species.html
index 0de7a3d4..edd18741 100644
--- a/docs/build/html/_modules/spatialpy/core/species.html
+++ b/docs/build/html/_modules/spatialpy/core/species.html
@@ -192,7 +192,7 @@ 
Source code for spatialpy.core.species
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/spatialpy/core/vtkreader.html b/docs/build/html/_modules/spatialpy/core/vtkreader.html
index 68768261..589bbff2 100644
--- a/docs/build/html/_modules/spatialpy/core/vtkreader.html
+++ b/docs/build/html/_modules/spatialpy/core/vtkreader.html
@@ -306,7 +306,7 @@ 
Source code for spatialpy.core.vtkreader
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/spatialpy/solvers/build_expression.html b/docs/build/html/_modules/spatialpy/solvers/build_expression.html
index 6aaf4746..20b81fe4 100644
--- a/docs/build/html/_modules/spatialpy/solvers/build_expression.html
+++ b/docs/build/html/_modules/spatialpy/solvers/build_expression.html
@@ -865,7 +865,7 @@ 
Source code for spatialpy.solvers.build_expression
Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/spatialpy/solvers/solver.html b/docs/build/html/_modules/spatialpy/solvers/solver.html
index c4967386..a4d18b10 100644
--- a/docs/build/html/_modules/spatialpy/solvers/solver.html
+++ b/docs/build/html/_modules/spatialpy/solvers/solver.html
@@ -724,7 +724,7 @@ 
Source code for spatialpy.solvers.solver
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_modules/spatialpy/stochss/stochss_export.html b/docs/build/html/_modules/spatialpy/stochss/stochss_export.html
index bb8ca688..01aa00a1 100644
--- a/docs/build/html/_modules/spatialpy/stochss/stochss_export.html
+++ b/docs/build/html/_modules/spatialpy/stochss/stochss_export.html
@@ -363,7 +363,7 @@ 
Source code for spatialpy.stochss.stochss_export

       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.1.1
+      Powered by Sphinx 4.4.0
       & Alabaster 0.7.12
       
     

diff --git a/docs/build/html/_sources/index.rst.txt b/docs/build/html/_sources/index.rst.txt
index ef9b1b78..450e6250 100644
--- a/docs/build/html/_sources/index.rst.txt
+++ b/docs/build/html/_sources/index.rst.txt
@@ -20,7 +20,7 @@ The latest version of SpatialPy can be found on `PyPI `_ for more information on how to build and simulate your models with SpatialPy. For an example of how to use SpatialPy to simulate a spatial stochastic reaction-diffusion system, see the `3D Cylinder Demo `_. We also provide examples of how to use SpatialPy to simulate physics (`Gravity Demo `_) and fluid flow (`Weir Model `_).
+See our `Example Notebook - Start Here `_ for more information on how to build and simulate your models with SpatialPy. For an example of how to use SpatialPy to simulate a spatial stochastic reaction-diffusion system, see the `3D Cylinder Demo `_. We also provide examples of how to use SpatialPy to simulate physics (`Gravity Demo `_) and fluid flow (`Weir Model `_).
 
 
 Reporting Issues
diff --git a/docs/build/html/_static/basic.css b/docs/build/html/_static/basic.css
index 912859b5..bf18350b 100644
--- a/docs/build/html/_static/basic.css
+++ b/docs/build/html/_static/basic.css
@@ -4,7 +4,7 @@
  *
  * Sphinx stylesheet -- basic theme.
  *
- * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -731,8 +731,9 @@ dl.glossary dt {
 
 .classifier:before {
     font-style: normal;
-    margin: 0.5em;
+    margin: 0 0.5em;
     content: ":";
+    display: inline-block;
 }
 
 abbr, acronym {
@@ -756,6 +757,7 @@ span.pre {
     -ms-hyphens: none;
     -webkit-hyphens: none;
     hyphens: none;
+    white-space: nowrap;
 }
 
 div[class*="highlight-"] {
diff --git a/docs/build/html/_static/doctools.js b/docs/build/html/_static/doctools.js
index 8cbf1b16..e509e483 100644
--- a/docs/build/html/_static/doctools.js
+++ b/docs/build/html/_static/doctools.js
@@ -4,7 +4,7 @@
  *
  * Sphinx JavaScript utilities for all documentation.
  *
- * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -264,6 +264,9 @@ var Documentation = {
   hideSearchWords : function() {
     $('#searchbox .highlight-link').fadeOut(300);
     $('span.highlighted').removeClass('highlighted');
+    var url = new URL(window.location);
+    url.searchParams.delete('highlight');
+    window.history.replaceState({}, '', url);
   },
 
   /**
diff --git a/docs/build/html/_static/language_data.js b/docs/build/html/_static/language_data.js
index 863704b3..ebe2f03b 100644
--- a/docs/build/html/_static/language_data.js
+++ b/docs/build/html/_static/language_data.js
@@ -5,7 +5,7 @@
  * This script contains the language-specific data used by searchtools.js,
  * namely the list of stopwords, stemmer, scorer and splitter.
  *
- * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
diff --git a/docs/build/html/_static/pygments.css b/docs/build/html/_static/pygments.css
index 1b945229..87f8bd12 100644
--- a/docs/build/html/_static/pygments.css
+++ b/docs/build/html/_static/pygments.css
@@ -1,7 +1,7 @@
-pre { line-height: 125%; margin: 0; }
-td.linenos pre { color: #000000; background-color: #f0f0f0; padding-left: 5px; padding-right: 5px; }
-span.linenos { color: #000000; background-color: #f0f0f0; padding-left: 5px; padding-right: 5px; }
-td.linenos pre.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+pre { line-height: 125%; }
+td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
 span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
 .highlight .hll { background-color: #ffffcc }
 .highlight { background: #f8f8f8; }
diff --git a/docs/build/html/_static/searchtools.js b/docs/build/html/_static/searchtools.js
index 8eb14218..2d778593 100644
--- a/docs/build/html/_static/searchtools.js
+++ b/docs/build/html/_static/searchtools.js
@@ -4,7 +4,7 @@
  *
  * Sphinx JavaScript utilities for the full-text search.
  *
- * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -276,19 +276,28 @@ var Search = {
           setTimeout(function() {
             displayNextItem();
           }, 5);
-        } else {
+        } else if (DOCUMENTATION_OPTIONS.HAS_SOURCE) {
           $.ajax({url: requestUrl,
                   dataType: "text",
                   complete: function(jqxhr, textstatus) {
                     var data = jqxhr.responseText;
                     if (data !== '' && data !== undefined) {
-                      listItem.append(Search.makeSearchSummary(data, searchterms, hlterms));
+                      var summary = Search.makeSearchSummary(data, searchterms, hlterms);
+                      if (summary) {
+                        listItem.append(summary);
+                      }
                     }
                     Search.output.append(listItem);
                     setTimeout(function() {
                       displayNextItem();
                     }, 5);
                   }});
+        } else {
+          // no source available, just display title
+          Search.output.append(listItem);
+          setTimeout(function() {
+            displayNextItem();
+          }, 5);
         }
       }
       // search finished, update title and status message
@@ -319,7 +328,9 @@ var Search = {
     var results = [];
 
     for (var prefix in objects) {
-      for (var name in objects[prefix]) {
+      for (var iMatch = 0; iMatch != objects[prefix].length; ++iMatch) {
+        var match = objects[prefix][iMatch];
+        var name = match[4];
         var fullname = (prefix ? prefix + '.' : '') + name;
         var fullnameLower = fullname.toLowerCase()
         if (fullnameLower.indexOf(object) > -1) {
@@ -333,7 +344,6 @@ var Search = {
           } else if (parts[parts.length - 1].indexOf(object) > -1) {
             score += Scorer.objPartialMatch;
           }
-          var match = objects[prefix][name];
           var objname = objnames[match[1]][2];
           var title = titles[match[0]];
           // If more than one term searched for, we require other words to be
@@ -492,6 +502,9 @@ var Search = {
    */
   makeSearchSummary : function(htmlText, keywords, hlwords) {
     var text = Search.htmlToText(htmlText);
+    if (text == "") {
+      return null;
+    }
     var textLower = text.toLowerCase();
     var start = 0;
     $.each(keywords, function() {
diff --git a/docs/build/html/classes/spatialpy.core.html b/docs/build/html/classes/spatialpy.core.html
index 7e561e2a..bbb262c3 100644
--- a/docs/build/html/classes/spatialpy.core.html
+++ b/docs/build/html/classes/spatialpy.core.html
@@ -4,7 +4,8 @@
 
   
     
-    
+    
+
     spatialpy.core package — SpatialPy 1.0 documentation
     
     
@@ -13,6 +14,7 @@
     
     
     
+    
     
     
     
@@ -103,12 +105,12 @@ 
Quick search

 
           

             
-  

+  

 
spatialpy.core package

-

+

 
Submodules

-

-

+

+

 
spatialpy.core.boundarycondition module

 
SpatialPy is a Python 3 package for simulation of
 spatial deterministic/stochastic reaction-diffusion-advection problems
@@ -124,11 +126,11 @@ 
Submoduleshttp://www.gnu.org/licenses/>.

 

 

-class spatialpy.core.boundarycondition.BoundaryCondition(xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, type_id=None, deterministic=True, target=None, value=None, model=None)[source]

+class spatialpy.core.boundarycondition.BoundaryCondition(xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, type_id=None, deterministic=True, target=None, value=None, model=None)[source]
 
Bases: object

 
Set spatial regions of the domain where a property of
 particles are held constant (updated each simulation step)

-

+

 
Conditions (one or more of the following must be set):

+

 
spatialpy.core.cleanup module

 
SpatialPy is a Python 3 package for simulation of
 spatial deterministic/stochastic reaction-diffusion-advection problems
@@ -233,8 +224,8 @@ 
Submodules
+

+

 
spatialpy.core.datafunction module

 
SpatialPy is a Python 3 package for simulation of
 spatial deterministic/stochastic reaction-diffusion-advection problems
@@ -250,13 +241,16 @@ 
Submoduleshttp://www.gnu.org/licenses/>.

 

 

-class spatialpy.core.datafunction.DataFunction(name=None)[source]

+class spatialpy.core.datafunction.DataFunction(name=None)[source]
 
Bases: object

 
Abstract class used to constuct the data function.

 

 
Parameters

 
name (str) – Name of the Data Function.

 

+
Raises

+
DataFunctionError – If a name is not provided.

+

 

 

 

@@ -281,8 +275,8 @@ 
Submodules
+

+

 
spatialpy.core.domain module

 
SpatialPy is a Python 3 package for simulation of
 spatial deterministic/stochastic reaction-diffusion-advection problems
@@ -298,7 +292,7 @@ 
Submoduleshttp://www.gnu.org/licenses/>.

 

 

-class spatialpy.core.domain.Domain(numpoints, xlim, ylim, zlim, rho0=1.0, c0=10, P0=None, gravity=None)[source]

+class spatialpy.core.domain.Domain(numpoints, xlim, ylim, zlim, rho0=1.0, c0=10, P0=None, gravity=None)[source]
 
Bases: object

 
Domain class for SpatialPy.  A domain defines points and attributes of a regional space for simulation.

 

@@ -322,14 +316,14 @@ 
Submodules
 
Parameters

 
    
-
  • point (tuple(float, float, float) or tuple(float, float)) – Spatial coordinate vertices of point to be added
    • 
+
  • point (tuple(float, float, float)) – Spatial coordinate vertices of point to be added
    • 
 
  • vol (float) – Default volume of particle to be added
    • 
 
  • mass (float) – Default mass of particle to be added
    • 
-
  • type_id (str | int) – Particle type ID of particle to be created
    • 
-
  • nu (float) – Default viscosity of particle to be created
    • 
+
  • type_id (str | int) – Particle type ID of particle to be craddedeated
    • 
+
  • nu (float) – Default viscosity of particle to be added
    • 
 
  • fixed (bool) – True if particle is spatially fixed, else False
    • 
-
  • c (float) – Default artificial speed of sound of particle to be created
    • 
-
  • rho (float) – Default density of particle to be created
    • 
+
  • c (float) – Default artificial speed of sound of particle to be added
    • 
+
  • rho (float) – Default density of particle to be added
    • 
 

 

 
Raises

@@ -350,7 +344,7 @@ 
Submodules
 
Parameters

-
point (tuple(float, float, float) or tuple(float, float)) – Target source point

+
point (tuple(float, float, float)) – Target source point

 

 
Returns

 
The coordinates of the nearest vertex to the source point.

@@ -364,11 +358,11 @@ 
Submodules
 

 compile_prep()[source]

-
Generate the domain list of type ids and check for invalid type_ids and rho values
+
Generate the domains list of type ids and check for invalid type_ids and rho values
 in preperation of compiling the simulation files.

 

 
Raises

-
DomainError – If a type_id is not set or rh for a particle is 0.

+
DomainError – If a type_id is not set or rho=0 for a particle.

 

 

 

@@ -389,7 +383,7 @@ 
Submodules
 

-classmethod create_2D_domain(xlim, ylim, nx, ny, type_id=1, mass=1.0, nu=1.0, rho=None, c=0, fixed=False, **kwargs)[source]

+classmethod create_2D_domain(xlim, ylim, nx, ny, type_id=1, mass=1.0, nu=1.0, rho=None, c=0, fixed=False, **kwargs)[source]
 
Create a filled 2D domain

 

 
Parameters

@@ -402,11 +396,9 @@ 
SubmodulesDomain.

 
 

 
Returns

@@ -420,7 +412,7 @@ 
Submodules
 

-classmethod create_3D_domain(xlim, ylim, zlim, nx, ny, nz, type_id=1, mass=1.0, nu=1.0, rho=None, c=0, fixed=False, **kwargs)[source]

+classmethod create_3D_domain(xlim, ylim, zlim, nx, ny, nz, type_id=1, mass=1.0, nu=1.0, rho=None, c=0, fixed=False, **kwargs)[source]
 
Create a filled 3D domain

 

 
Parameters

@@ -435,11 +427,9 @@ 
SubmodulesDomain.

 
 

 
Returns

@@ -458,8 +448,8 @@ 
Submodules
 
Parameters

 
    
-
  • start (tuple(float, float, float) or tuple(float, float)) – Starting point
    • 
-
  • end (tuple(float, float, float) or tuple(float, float)) – Ending point
    • 
+
  • start (tuple(float, float, float)) – Starting point
    • 
+
  • end (tuple(float, float, float)) – Ending point
    • 
 

 

 
Returns

@@ -489,7 +479,7 @@ 
SubmodulesDomain.add_point().

 
 

 
Returns

@@ -609,7 +599,7 @@ 
Submodules
 

-classmethod import_meshio_object(mesh_obj)[source]

+classmethod import_meshio_object(mesh_obj)[source]
 
Import a python meshio mesh object.

 

 
Parameters

@@ -652,7 +642,7 @@ 
Submodules
 

-classmethod read_msh_file(filename)[source]

+classmethod read_msh_file(filename)[source]
 
Read a Gmsh style .msh file

 

 
Parameters

@@ -669,7 +659,7 @@ 
Submodules
 

-classmethod read_stochss_domain(filename)[source]

+classmethod read_stochss_domain(filename)[source]
 
Read a StochSS Domain (.domn) file or pull a StochSS Domain from a StochSS Spatial Model (.smdl) file.

 

 
Parameters

@@ -703,7 +693,7 @@ 
Submodules
 

-classmethod read_xml_mesh(filename)[source]

+classmethod read_xml_mesh(filename)[source]
 
Read a FEniCS/dolfin style XML mesh file

 

 
Parameters

@@ -725,7 +715,7 @@ 
Submodules
 
Parameters

 

+

 
spatialpy.core.geometry module

 
SpatialPy is a Python 3 package for simulation of
 spatial deterministic/stochastic reaction-diffusion-advection problems
@@ -767,7 +757,7 @@ 
Submoduleshttp://www.gnu.org/licenses/>.

 

 

-class spatialpy.core.geometry.Geometry[source]

+class spatialpy.core.geometry.Geometry[source]
 
Bases: object

 
Geometry class provides a method for tagging parts of the spatial domain as separate parts.

 

@@ -793,7 +783,7 @@ 
Submodules
 

-class spatialpy.core.geometry.GeometryAll[source]

+class spatialpy.core.geometry.GeometryAll[source]
 
Bases: spatialpy.core.geometry.Geometry

 
Mark all particles.

 

@@ -819,7 +809,7 @@ 
Submodules
 

-class spatialpy.core.geometry.GeometryExterior[source]

+class spatialpy.core.geometry.GeometryExterior[source]
 
Bases: spatialpy.core.geometry.Geometry

 
Mark particles that are on the edge of the domain.
 only works for meshes that define triangles and tetrahedrons.

@@ -846,7 +836,7 @@ 
Submodules
 

-class spatialpy.core.geometry.GeometryInterior[source]

+class spatialpy.core.geometry.GeometryInterior[source]
 
Bases: spatialpy.core.geometry.Geometry

 
Mark particles that are not on the edge of the domain.
 Only works for meshes that define triangles and tetrahedrons.

@@ -871,8 +861,8 @@ 
Submodules
+

+

 
spatialpy.core.initialcondition module

 
SpatialPy is a Python 3 package for simulation of
 spatial deterministic/stochastic reaction-diffusion-advection problems
@@ -888,7 +878,7 @@ 
Submoduleshttp://www.gnu.org/licenses/>.

 

 

-class spatialpy.core.initialcondition.InitialCondition[source]

+class spatialpy.core.initialcondition.InitialCondition[source]
 
Bases: object

 
Class used to defined initial conditions in SpatialPy.
 SubClasses must implement the ‘apply(model)’ method, which
@@ -903,7 +893,7 @@ 
Submodules
 

-class spatialpy.core.initialcondition.PlaceInitialCondition(species, count, location)[source]

+class spatialpy.core.initialcondition.PlaceInitialCondition(species, count, location)[source]
 
Bases: spatialpy.core.initialcondition.InitialCondition

 
Class used to defined the place initial condition in SpatialPy.

 

@@ -930,7 +920,7 @@ 
Submodules
 

-class spatialpy.core.initialcondition.ScatterInitialCondition(species, count, types=None)[source]

+class spatialpy.core.initialcondition.ScatterInitialCondition(species, count, types=None)[source]
 
Bases: spatialpy.core.initialcondition.InitialCondition

 
Class used to defined the scatter initial condition in SpatialPy.

 

@@ -957,7 +947,7 @@ 
Submodules
 

-class spatialpy.core.initialcondition.UniformInitialCondition(species, count, types=None)[source]

+class spatialpy.core.initialcondition.UniformInitialCondition(species, count, types=None)[source]
 
Bases: spatialpy.core.initialcondition.InitialCondition

 
Class used to defined the uniform initial condition in SpatialPy.

 

@@ -982,8 +972,8 @@ 
Submodules
+

+

 
spatialpy.core.model module

 
SpatialPy is a Python 3 package for simulation of
 spatial deterministic/stochastic reaction-diffusion-advection problems
@@ -999,7 +989,7 @@ 
Submoduleshttp://www.gnu.org/licenses/>.

 

 

-class spatialpy.core.model.Model(name='spatialpy')[source]

+class spatialpy.core.model.Model(name='spatialpy')[source]
 
Bases: object

 
Representation of a spatial biochemical model.

 

@@ -1330,7 +1320,7 @@ 
Submodules
 

-reserved_names = ['vol', 't']

+reserved_names = ['vol', 't']
 

 
 

@@ -1425,7 +1415,7 @@ 
Submodules
 

-special_characters = ['[', ']', '+', '-', '*', '/', '.', '^']

+special_characters = ['[', ']', '+', '-', '*', '/', '.', '^']
 

 
 

@@ -1475,8 +1465,8 @@ 
Submodules
+

+

 
spatialpy.core.parameter module

 
SpatialPy is a Python 3 package for simulation of
 spatial deterministic/stochastic reaction-diffusion-advection problems
@@ -1492,7 +1482,7 @@ 
Submoduleshttp://www.gnu.org/licenses/>.

 

 

-class spatialpy.core.parameter.Parameter(name=None, expression=None)[source]

+class spatialpy.core.parameter.Parameter(name=None, expression=None)[source]
 
Bases: object

 
Model of a rate paramter.
 A parameter can be given as a String expression (function) or directly as a scalar value.
@@ -1508,8 +1498,8 @@ 
Submodules
+

+

 
spatialpy.core.reaction module

 
SpatialPy is a Python 3 package for simulation of
 spatial deterministic/stochastic reaction-diffusion-advection problems
@@ -1525,7 +1515,7 @@ 
Submoduleshttp://www.gnu.org/licenses/>.

 

 

-class spatialpy.core.reaction.Reaction(name='', reactants=None, products=None, propensity_function=None, rate=None, annotation=None, restrict_to=None)[source]

+class spatialpy.core.reaction.Reaction(name='', reactants=None, products=None, propensity_function=None, rate=None, annotation=None, restrict_to=None)[source]
 
Bases: object

 
Models a biochemical reaction. A reaction conatains dictionaries of species (reactants and products)     and parameters. The reaction’s propensity function needs to be evaluable and result in a     non-negative scalar value in the namespace defined by the union of its Reactant, Product and     Parameter dictionaries.  For mass-action, zeroth, first     and second order reactions are supported, attempting to used higher orders will result in an error.

 

@@ -1593,8 +1583,8 @@ 
Submodules
+

+

 
spatialpy.core.result module

 
SpatialPy is a Python 3 package for simulation of
 spatial deterministic/stochastic reaction-diffusion-advection problems
@@ -1610,7 +1600,7 @@ 
Submoduleshttp://www.gnu.org/licenses/>.

 

 

-class spatialpy.core.result.Result(model=None, result_dir=None)[source]

+class spatialpy.core.result.Result(model=None, result_dir=None)[source]
 
Bases: object

 
Result object for a URDME simulation.

 

@@ -1828,8 +1818,8 @@ 
Submodules
+

+

 
spatialpy.core.spatialpyerror module

 
SpatialPy is a Python 3 package for simulation of
 spatial deterministic/stochastic reaction-diffusion-advection problems
@@ -1845,104 +1835,104 @@ 
Submoduleshttp://www.gnu.org/licenses/>.

 

 

-exception spatialpy.core.spatialpyerror.BoundaryConditionError[source]

+exception spatialpy.core.spatialpyerror.BoundaryConditionError[source]
 
Bases: spatialpy.core.spatialpyerror.ModelError

 
Base class for exceptions in the boundarycondition module.

 

 
 

 

-exception spatialpy.core.spatialpyerror.DataFunctionError[source]

+exception spatialpy.core.spatialpyerror.DataFunctionError[source]
 
Bases: spatialpy.core.spatialpyerror.ModelError

 
Class for exceptions in the datafunction module.

 

 
 

 

-exception spatialpy.core.spatialpyerror.DomainError[source]

+exception spatialpy.core.spatialpyerror.DomainError[source]
 
Bases: spatialpy.core.spatialpyerror.ModelError

 
Class for exceptions in the domain module.

 

 
 

 

-exception spatialpy.core.spatialpyerror.GeometryError[source]

+exception spatialpy.core.spatialpyerror.GeometryError[source]
 
Bases: spatialpy.core.spatialpyerror.ModelError

 
Class for exceptions in the geometry module.

 

 
 

 

-exception spatialpy.core.spatialpyerror.InitialConditionError[source]

+exception spatialpy.core.spatialpyerror.InitialConditionError[source]
 
Bases: spatialpy.core.spatialpyerror.ModelError

 
Class for exceptions in initailcondition module.

 

 
 

 

-exception spatialpy.core.spatialpyerror.ModelError[source]

+exception spatialpy.core.spatialpyerror.ModelError[source]
 
Bases: Exception

 
Class for exceptions in the model module.

 

 
 

 

-exception spatialpy.core.spatialpyerror.ParameterError[source]

+exception spatialpy.core.spatialpyerror.ParameterError[source]
 
Bases: spatialpy.core.spatialpyerror.ModelError

 
Class for exceptions in parameter module.

 

 
 

 

-exception spatialpy.core.spatialpyerror.ReactionError[source]

+exception spatialpy.core.spatialpyerror.ReactionError[source]
 
Bases: spatialpy.core.spatialpyerror.ModelError

 
Class for exceptions in reaction module.

 

 
 

 

-exception spatialpy.core.spatialpyerror.ResultError[source]

+exception spatialpy.core.spatialpyerror.ResultError[source]
 
Bases: Exception

 
Class for exceptions in the results module.

 

 
 

 

-exception spatialpy.core.spatialpyerror.SimulationError[source]

+exception spatialpy.core.spatialpyerror.SimulationError[source]
 
Bases: Exception

 
Class for exceptions in the simulation module.

 

 
 

 

-exception spatialpy.core.spatialpyerror.SimulationTimeout[source]

+exception spatialpy.core.spatialpyerror.SimulationTimeout[source]
 
Bases: spatialpy.core.spatialpyerror.SimulationError

 
Exception raised for timeout errors.

 

 
 

 

-exception spatialpy.core.spatialpyerror.SpeciesError[source]

+exception spatialpy.core.spatialpyerror.SpeciesError[source]
 
Bases: spatialpy.core.spatialpyerror.ModelError

 
Class for exceptions in the species module.

 

 
 

 

-exception spatialpy.core.spatialpyerror.VTKReaderError[source]

+exception spatialpy.core.spatialpyerror.VTKReaderError[source]
 
Bases: Exception

 
Bass class for exceptions in the vtkreader module.

 

 
 

 

-exception spatialpy.core.spatialpyerror.VTKReaderIOError(message)[source]

+exception spatialpy.core.spatialpyerror.VTKReaderIOError(message)[source]
 
Bases: spatialpy.core.spatialpyerror.VTKReaderError

 
Exception raised for I/O errors.

 

 
-

-

+
+

 
spatialpy.core.species module

 
SpatialPy is a Python 3 package for simulation of
 spatial deterministic/stochastic reaction-diffusion-advection problems
@@ -1958,7 +1948,7 @@ 
Submoduleshttp://www.gnu.org/licenses/>.

 

 

-class spatialpy.core.species.Species(name=None, diffusion_coefficient=None, restrict_to=None)[source]

+class spatialpy.core.species.Species(name=None, diffusion_coefficient=None, restrict_to=None)[source]
 
Bases: object

 
Model of a biochemical species. Must be assigned a diffusion coefficent.

 

@@ -1988,8 +1978,8 @@ 
Submodules
+

+

 
spatialpy.core.vtkreader module

 
SpatialPy is a Python 3 package for simulation of
 spatial deterministic/stochastic reaction-diffusion-advection problems
@@ -2005,7 +1995,7 @@ 
Submoduleshttp://www.gnu.org/licenses/>.

 

 

-class spatialpy.core.vtkreader.VTKReader(filename=None, debug=False)[source]

+class spatialpy.core.vtkreader.VTKReader(filename=None, debug=False)[source]
 
Bases: object

 
VTKReader.py: SpatialPy minimal VTK legacy file reader.
 Reference: https://vtk.org/wp-content/uploads/2015/04/file-formats.pdf

@@ -2100,8 +2090,8 @@ 
Submodules
+

+

 
Module contents

 
SpatialPy is a Python 3 package for simulation of
 spatial deterministic/stochastic reaction-diffusion-advection problems
@@ -2117,11 +2107,11 @@ 
Submoduleshttp://www.gnu.org/licenses/>.

 

 

-class spatialpy.core.BoundaryCondition(xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, type_id=None, deterministic=True, target=None, value=None, model=None)[source]

+class spatialpy.core.BoundaryCondition(xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, type_id=None, deterministic=True, target=None, value=None, model=None)[source]
 
Bases: object

 
Set spatial regions of the domain where a property of
 particles are held constant (updated each simulation step)

-

+

 
Conditions (one or more of the following must be set):

 
 

 

-class spatialpy.core.DataFunction(name=None)[source]

+class spatialpy.core.DataFunction(name=None)[source]
 
Bases: object

 
Abstract class used to constuct the data function.

 

 
Parameters

 
name (str) – Name of the Data Function.

 

+
Raises

+
DataFunctionError – If a name is not provided.

+

 

 

 

@@ -2219,14 +2201,14 @@ 
Submodules
 

-exception spatialpy.core.DataFunctionError[source]

+exception spatialpy.core.DataFunctionError[source]

 
Bases: spatialpy.core.spatialpyerror.ModelError

 
Class for exceptions in the datafunction module.

 

 
 

 

-class spatialpy.core.Domain(numpoints, xlim, ylim, zlim, rho0=1.0, c0=10, P0=None, gravity=None)[source]

+class spatialpy.core.Domain(numpoints, xlim, ylim, zlim, rho0=1.0, c0=10, P0=None, gravity=None)[source]
 
Bases: object

 
Domain class for SpatialPy.  A domain defines points and attributes of a regional space for simulation.

 

@@ -2250,14 +2232,14 @@ 
Submodules
 
Parameters

 
    
-
  • point (tuple(float, float, float) or tuple(float, float)) – Spatial coordinate vertices of point to be added
    • 
+
  • point (tuple(float, float, float)) – Spatial coordinate vertices of point to be added
    • 
 
  • vol (float) – Default volume of particle to be added
    • 
 
  • mass (float) – Default mass of particle to be added
    • 
-
  • type_id (str | int) – Particle type ID of particle to be created
    • 
-
  • nu (float) – Default viscosity of particle to be created
    • 
+
  • type_id (str | int) – Particle type ID of particle to be craddedeated
    • 
+
  • nu (float) – Default viscosity of particle to be added
    • 
 
  • fixed (bool) – True if particle is spatially fixed, else False
    • 
-
  • c (float) – Default artificial speed of sound of particle to be created
    • 
-
  • rho (float) – Default density of particle to be created
    • 
+
  • c (float) – Default artificial speed of sound of particle to be added
    • 
+
  • rho (float) – Default density of particle to be added
    • 
 

 

 
Raises

@@ -2278,7 +2260,7 @@ 
Submodules
 
Parameters

-
point (tuple(float, float, float) or tuple(float, float)) – Target source point

+
point (tuple(float, float, float)) – Target source point

 

 
Returns

 
The coordinates of the nearest vertex to the source point.

@@ -2292,11 +2274,11 @@ 
Submodules
 

 compile_prep()[source]

-
Generate the domain list of type ids and check for invalid type_ids and rho values
+
Generate the domains list of type ids and check for invalid type_ids and rho values
 in preperation of compiling the simulation files.

 

 
Raises

-
DomainError – If a type_id is not set or rh for a particle is 0.

+
DomainError – If a type_id is not set or rho=0 for a particle.

 

 

 

@@ -2317,7 +2299,7 @@ 
Submodules
 

-classmethod create_2D_domain(xlim, ylim, nx, ny, type_id=1, mass=1.0, nu=1.0, rho=None, c=0, fixed=False, **kwargs)[source]

+classmethod create_2D_domain(xlim, ylim, nx, ny, type_id=1, mass=1.0, nu=1.0, rho=None, c=0, fixed=False, **kwargs)[source]
 
Create a filled 2D domain

 

 
Parameters

@@ -2330,11 +2312,9 @@ 
SubmodulesDomain.

 
 

 
Returns

@@ -2348,7 +2328,7 @@ 
Submodules
 

-classmethod create_3D_domain(xlim, ylim, zlim, nx, ny, nz, type_id=1, mass=1.0, nu=1.0, rho=None, c=0, fixed=False, **kwargs)[source]

+classmethod create_3D_domain(xlim, ylim, zlim, nx, ny, nz, type_id=1, mass=1.0, nu=1.0, rho=None, c=0, fixed=False, **kwargs)[source]
 
Create a filled 3D domain

 

 
Parameters

@@ -2363,11 +2343,9 @@ 
SubmodulesDomain.

 
 

 
Returns

@@ -2386,8 +2364,8 @@ 
Submodules
 
Parameters

 
    
-
  • start (tuple(float, float, float) or tuple(float, float)) – Starting point
    • 
-
  • end (tuple(float, float, float) or tuple(float, float)) – Ending point
    • 
+
  • start (tuple(float, float, float)) – Starting point
    • 
+
  • end (tuple(float, float, float)) – Ending point
    • 
 

 

 
Returns

@@ -2417,7 +2395,7 @@ 
SubmodulesDomain.add_point().

 
 

 
Returns

@@ -2537,7 +2515,7 @@ 
Submodules
 

-classmethod import_meshio_object(mesh_obj)[source]

+classmethod import_meshio_object(mesh_obj)[source]
 
Import a python meshio mesh object.

 

 
Parameters

@@ -2580,7 +2558,7 @@ 
Submodules
 

-classmethod read_msh_file(filename)[source]

+classmethod read_msh_file(filename)[source]
 
Read a Gmsh style .msh file

 

 
Parameters

@@ -2597,7 +2575,7 @@ 
Submodules
 

-classmethod read_stochss_domain(filename)[source]

+classmethod read_stochss_domain(filename)[source]
 
Read a StochSS Domain (.domn) file or pull a StochSS Domain from a StochSS Spatial Model (.smdl) file.

 

 
Parameters

@@ -2631,7 +2609,7 @@ 
Submodules
 

-classmethod read_xml_mesh(filename)[source]

+classmethod read_xml_mesh(filename)[source]
 
Read a FEniCS/dolfin style XML mesh file

 

 
Parameters

@@ -2653,7 +2631,7 @@ 
Submodules
 
Parameters

 

 
 

 

-class spatialpy.core.Geometry[source]

+class spatialpy.core.Geometry[source]
 
Bases: object

 
Geometry class provides a method for tagging parts of the spatial domain as separate parts.

 

@@ -2713,7 +2691,7 @@ 
Submodules
 

-class spatialpy.core.GeometryAll[source]

+class spatialpy.core.GeometryAll[source]
 
Bases: spatialpy.core.geometry.Geometry

 
Mark all particles.

 

@@ -2739,14 +2717,14 @@ 
Submodules
 

-exception spatialpy.core.GeometryError[source]

+exception spatialpy.core.GeometryError[source]
 
Bases: spatialpy.core.spatialpyerror.ModelError

 
Class for exceptions in the geometry module.

 

 
 

 

-class spatialpy.core.GeometryExterior[source]

+class spatialpy.core.GeometryExterior[source]
 
Bases: spatialpy.core.geometry.Geometry

 
Mark particles that are on the edge of the domain.
 only works for meshes that define triangles and tetrahedrons.

@@ -2773,7 +2751,7 @@ 
Submodules
 

-class spatialpy.core.GeometryInterior[source]

+class spatialpy.core.GeometryInterior[source]
 
Bases: spatialpy.core.geometry.Geometry

 
Mark particles that are not on the edge of the domain.
 Only works for meshes that define triangles and tetrahedrons.

@@ -2800,7 +2778,7 @@ 
Submodules
 

-class spatialpy.core.InitialCondition[source]

+class spatialpy.core.InitialCondition[source]
 
Bases: object

 
Class used to defined initial conditions in SpatialPy.
 SubClasses must implement the ‘apply(model)’ method, which
@@ -2815,43 +2793,46 @@ 
Submodules
 

-exception spatialpy.core.InitialConditionError[source]

+exception spatialpy.core.InitialConditionError[source]
 
Bases: spatialpy.core.spatialpyerror.ModelError

 
Class for exceptions in initailcondition module.

 

 
 

 

-class spatialpy.core.KDTree(data, leafsize=10)[source]

-
Bases: object

-
kd-tree for quick nearest-neighbor lookup

-
This class provides an index into a set of k-D points which
-can be used to rapidly look up the nearest neighbors of any point.

+class spatialpy.core.KDTree(data, leafsize=10, compact_nodes=True, copy_data=False, balanced_tree=True, boxsize=None)[source]
+
Bases: scipy.spatial.ckdtree.cKDTree

+
kd-tree for quick nearest-neighbor lookup.

+
This class provides an index into a set of k-dimensional points
+which can be used to rapidly look up the nearest neighbors of any
+point.

 

 
Parameters

 
    
-
  • data ((N,K) array_like) – The data points to be indexed. This array is not copied, and
-so modifying this data will result in bogus results.
    • 
-
  • leafsize (int, optional) – The number of points at which the algorithm switches over to
-brute-force.  Has to be positive.
    • 
+
  • data (array_like, shape (n,m)) – The n data points of dimension m to be indexed. This array is
+not copied unless this is necessary to produce a contiguous
+array of doubles, and so modifying this data will result in
+bogus results. The data are also copied if the kd-tree is built
+with copy_data=True.
    • 
+
  • leafsize (positive int, optional) – The number of points at which the algorithm switches over to
+brute-force.  Default: 10.
    • 
+
  • compact_nodes (bool, optional) – If True, the kd-tree is built to shrink the hyperrectangles to
+the actual data range. This usually gives a more compact tree that
+is robust against degenerated input data and gives faster queries
+at the expense of longer build time. Default: True.
    • 
+
  • copy_data (bool, optional) – If True the data is always copied to protect the kd-tree against
+data corruption. Default: False.
    • 
+
  • balanced_tree (bool, optional) – If True, the median is used to split the hyperrectangles instead of
+the midpoint. This usually gives a more compact tree and
+faster queries at the expense of longer build time. Default: True.
    • 
+
  • boxsize (array_like or scalar, optional) – Apply a m-d toroidal topology to the KDTree.. The topology is generated
+by \(x_i + n_i L_i\) where \(n_i\) are integers and \(L_i\)
+is the boxsize along i-th dimension. The input data shall be wrapped
+into \([0, L_i)\). A ValueError is raised if any of the data is
+outside of this bound.
    • 
 

 

-
Raises

-
RuntimeError – The maximum recursion limit can be exceeded for large data
-    sets.  If this happens, either increase the value for the leafsize
-    parameter or increase the recursion limit by::
-    
-        >>> import sys
-        >>> sys.setrecursionlimit(10000)

-

-

-

-
See also

-

-
cKDTree
Implementation of KDTree in Cython

-

 

-

 
Notes

 
The algorithm used is described in Maneewongvatana and Mount 1999.
 The general idea is that the kd-tree is a binary tree, each of whose
@@ -2868,153 +2849,414 @@ 
Submodules
+

+data

+
The n data points of dimension m to be indexed. This array is
+not copied unless this is necessary to produce a contiguous
+array of doubles. The data are also copied if the kd-tree is built
+with copy_data=True.

+

+
Type

+
ndarray, shape (n,m)

+

+

+

+
+

+

+leafsize

+
The number of points at which the algorithm switches over to
+brute-force.

+

+
Type

+
positive int

+

+

+

+
+

+

+m

+
The dimension of a single data-point.

+

+
Type

+
int

+

+

+

+
+

+

+n

+
The number of data points.

+

+
Type

+
int

+

+

+

+
+

+

+maxes

+
The maximum value in each dimension of the n data points.

+

+
Type

+
ndarray, shape (m,)

+

+

+

+
+

+

+mins

+
The minimum value in each dimension of the n data points.

+

+
Type

+
ndarray, shape (m,)

+

+

+

+
+

+

+size

+
The number of nodes in the tree.

+

+
Type

+
int

+

+

+

+
 

 

-count_neighbors(other, r, p=2.0)[source]

+count_neighbors(other, r, p=2.0, weights=None, cumulative=True)[source]
 
Count how many nearby pairs can be formed.

-
Count the number of pairs (x1,x2) can be formed, with x1 drawn
-from self and x2 drawn from other, and where
-distance(x1, x2, p) <= r.
-This is the “two-point correlation” described in Gray and Moore 2000,
-“N-body problems in statistical learning”, and the code here is based
-on their algorithm.

+
Count the number of pairs (x1,x2) can be formed, with x1 drawn
+from self and x2 drawn from other, and where
+distance(x1, x2, p) <= r.

+
Data points on self and other are optionally weighted by the
+weights argument. (See below)

+
This is adapted from the “two-point correlation” algorithm described by
+Gray and Moore 1.  See notes for further discussion.

 

 
Parameters

 
    
-
  • other (KDTree instance) – The other tree to draw points from.
    • 
+
  • other (KDTree) – The other tree to draw points from, can be the same tree as self.
    • 
 
  • r (float or one-dimensional array of floats) – The radius to produce a count for. Multiple radii are searched with
-a single tree traversal.
    • 
-
  • p (float, 1<=p<=infinity, optional) – Which Minkowski p-norm to use
    • 
+a single tree traversal.
+If the count is non-cumulative(cumulative=False), r defines
+the edges of the bins, and must be non-decreasing.
    
+
  • p (float, optional) – 1<=p<=infinity.
+Which Minkowski p-norm to use.
+Default 2.0.
+A finite large p may cause a ValueError if overflow can occur.
    • 
+
  • weights (tuple, array_like, or None, optional) – 
    If None, the pair-counting is unweighted.
+If given as a tuple, weights[0] is the weights of points in
+self, and weights[1] is the weights of points in other;
+either can be None to indicate the points are unweighted.
+If given as an array_like, weights is the weights of points in
+self and other. For this to make sense, self and
+other must be the same tree. If self and other are two
+different trees, a ValueError is raised.
+Default: None
    
+
    
+
    New in version 1.6.0.
    
+
    
+
    • 
+
  • cumulative (bool, optional) – 
    Whether the returned counts are cumulative. When cumulative is set
+to False the algorithm is optimized to work with a large number
+of bins (>10) specified by r. When cumulative is set to
+True, the algorithm is optimized to work with a small number of
+r. Default: True
    
+
    
+
    New in version 1.6.0.
    
+
    
+
    • 
 

 

 
Returns

-
result – The number of pairs. Note that this is internally stored in a numpy
-int, and so may overflow if very large (2e9).

+
result – The number of pairs. For unweighted counts, the result is integer.
+For weighted counts, the result is float.
+If cumulative is False, result[i] contains the counts with
+(-inf if i == 0 else r[i-1]) < R <= r[i]

 

 
Return type

-
int or 1-D array of ints

+
scalar or 1-D array

 

 

+
Notes

+
Pair-counting is the basic operation used to calculate the two point
+correlation functions from a data set composed of position of objects.

+
Two point correlation function measures the clustering of objects and
+is widely used in cosmology to quantify the large scale structure
+in our Universe, but it may be useful for data analysis in other fields
+where self-similar assembly of objects also occur.

+
The Landy-Szalay estimator for the two point correlation function of
+D measures the clustering signal in D. 2

+
For example, given the position of two sets of objects,

+
    
+
  • objects D (data) contains the clustering signal, and
    • 
+
  • objects R (random) that contains no signal,
    • 
+

+

+\[\xi(r) = \frac{<D, D> - 2 f <D, R> + f^2<R, R>}{f^2<R, R>},\]

+
where the brackets represents counting pairs between two data sets
+in a finite bin around r (distance), corresponding to setting
+cumulative=False, and f = float(len(D)) / float(len(R)) is the
+ratio between number of objects from data and random.

+
The algorithm implemented here is loosely based on the dual-tree
+algorithm described in 1. We switch between two different
+pair-cumulation scheme depending on the setting of cumulative.
+The computing time of the method we use when for
+cumulative == False does not scale with the total number of bins.
+The algorithm for cumulative == True scales linearly with the
+number of bins, though it is slightly faster when only
+1 or 2 bins are used. 5.

+
As an extension to the naive pair-counting,
+weighted pair-counting counts the product of weights instead
+of number of pairs.
+Weighted pair-counting is used to estimate marked correlation functions
+(3, section 2.2),
+or to properly calculate the average of data per distance bin
+(e.g. 4, section 2.1 on redshift).

+

+
1(1,2)

+
Gray and Moore,
+“N-body problems in statistical learning”,
+Mining the sky, 2000,
+https://arxiv.org/abs/astro-ph/0012333

+

+
2

+
Landy and Szalay,
+“Bias and variance of angular correlation functions”,
+The Astrophysical Journal, 1993,
+http://adsabs.harvard.edu/abs/1993ApJ…412…64L

+

+
3

+
Sheth, Connolly and Skibba,
+“Marked correlations in galaxy formation models”,
+Arxiv e-print, 2005,
+https://arxiv.org/abs/astro-ph/0511773

+

+
4

+
Hawkins, et al.,
+“The 2dF Galaxy Redshift Survey: correlation functions,
+peculiar velocities and the matter density of the Universe”,
+Monthly Notices of the Royal Astronomical Society, 2002,
+http://adsabs.harvard.edu/abs/2003MNRAS.346…78H

+

+
5

+
https://github.com/scipy/scipy/pull/5647#issuecomment-168474926

+

+

+
Examples

+
You can count neighbors number between two kd-trees within a distance:

+
>>> import numpy as np
+>>> from scipy.spatial import KDTree
+>>> rng = np.random.default_rng()
+>>> points1 = rng.random((5, 2))
+>>> points2 = rng.random((5, 2))
+>>> kd_tree1 = KDTree(points1)
+>>> kd_tree2 = KDTree(points2)
+>>> kd_tree1.count_neighbors(kd_tree2, 0.2)
+1
+

+

+
This number is same as the total pair number calculated by
+query_ball_tree:

+
>>> indexes = kd_tree1.query_ball_tree(kd_tree2, r=0.2)
+>>> sum([len(i) for i in indexes])
+1
+

+

 

 
 

 

-class innernode(split_dim, split, less, greater)[source]

+class innernode(ckdtreenode)[source]
 
Bases: scipy.spatial.kdtree.KDTree.node

+

+

+property children

+

+
+

+

+property split

+

+
+

+

+property split_dim

+

+
 

 
 

 

-class leafnode(idx)[source]

+class leafnode(ckdtree_node=None)[source]
 
Bases: scipy.spatial.kdtree.KDTree.node

+

+

+property children

+

+
+

+

+property idx

+

+
 

 
 

 

-class node[source]

+class node(ckdtree_node=None)[source]
 
Bases: object

 

 
 

 

-query(x, k=1, eps=0, p=2, distance_upper_bound=inf)[source]

-
Query the kd-tree for nearest neighbors

+query(x, k=1, eps=0, p=2, distance_upper_bound=inf, workers=1)[source]
+
Query the kd-tree for nearest neighbors.

 

 
Parameters

 
    
 
  • x (array_like, last dimension self.m) – An array of points to query.
    • 
-
  • k (int, optional) – The number of nearest neighbors to return.
    • 
+
  • k (int or Sequence[int], optional) – Either the number of nearest neighbors to return, or a list of the
+k-th nearest neighbors to return, starting from 1.
    • 
 
  • eps (nonnegative float, optional) – Return approximate nearest neighbors; the kth returned value
 is guaranteed to be no further than (1+eps) times the
 distance to the real kth nearest neighbor.
    • 
 
  • p (float, 1<=p<=infinity, optional) – Which Minkowski p-norm to use.
-1 is the sum-of-absolute-values “Manhattan” distance
-2 is the usual Euclidean distance
-infinity is the maximum-coordinate-difference distance
    • 
+1 is the sum-of-absolute-values distance (“Manhattan” distance).
+2 is the usual Euclidean distance.
+infinity is the maximum-coordinate-difference distance.
+A large, finite p may cause a ValueError if overflow can occur.
    
 
  • distance_upper_bound (nonnegative float, optional) – Return only neighbors within this distance. This is used to prune
 tree searches, so if you are doing a series of nearest-neighbor
 queries, it may help to supply the distance to the nearest neighbor
 of the most recent point.
    • 
+
  • workers (int, optional) – 
    Number of workers to use for parallel processing. If -1 is given
+all CPU threads are used. Default: 1.
    
+
    
+
    New in version 1.6.0.
    
+
    
+
    • 
 

 

 
Returns

-
    
+
      
 
    • d (float or array of floats) – The distances to the nearest neighbors.
-If x has shape tuple+(self.m,), then d has shape tuple if
-k is one, or tuple+(k,) if k is larger than one. Missing
-neighbors (e.g. when k > n or distance_upper_bound is
-given) are indicated with infinite distances.  If k is None,
-then d is an object array of shape tuple, containing lists
-of distances. In either case the hits are sorted by distance
-(nearest first).
      • 
-
    • i (integer or array of integers) – The locations of the neighbors in self.data. i is the same
-shape as d.
      • 
+If x has shape tuple+(self.m,), then d has shape
+tuple+(k,).
+When k == 1, the last dimension of the output is squeezed.
+Missing neighbors are indicated with infinite distances.
+Hits are sorted by distance (nearest first).
      
+
      
+
      Deprecated since version 1.6.0: If k=None, then d is an object array of shape tuple,
+containing lists of distances. This behavior is deprecated and
+will be removed in SciPy 1.8.0, use query_ball_point
+instead.
      
+
      
+
+
    • i (integer or array of integers) – The index of each neighbor in self.data.
+i is the same shape as d.
+Missing neighbors are indicated with self.n.
      • 
 
    
 
    
 
    
 

 
Examples

-
>>> from scipy import spatial
+
>>> import numpy as np
+>>> from scipy.spatial import KDTree
 >>> x, y = np.mgrid[0:5, 2:8]
->>> tree = spatial.KDTree(list(zip(x.ravel(), y.ravel())))
->>> tree.data
-array([[0, 2],
-       [0, 3],
-       [0, 4],
-       [0, 5],
-       [0, 6],
-       [0, 7],
-       [1, 2],
-       [1, 3],
-       [1, 4],
-       [1, 5],
-       [1, 6],
-       [1, 7],
-       [2, 2],
-       [2, 3],
-       [2, 4],
-       [2, 5],
-       [2, 6],
-       [2, 7],
-       [3, 2],
-       [3, 3],
-       [3, 4],
-       [3, 5],
-       [3, 6],
-       [3, 7],
-       [4, 2],
-       [4, 3],
-       [4, 4],
-       [4, 5],
-       [4, 6],
-       [4, 7]])
->>> pts = np.array([[0, 0], [2.1, 2.9]])
->>> tree.query(pts)
-(array([ 2.        ,  0.14142136]), array([ 0, 13]))
->>> tree.query(pts[0])
-(2.0, 0)
+>>> tree = KDTree(np.c_[x.ravel(), y.ravel()])
+

+

+
To query the nearest neighbours and return squeezed result, use

+
>>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=1)
+>>> print(dd, ii, sep='\n')
+[2.         0.2236068]
+[ 0 13]
+

+

+
To query the nearest neighbours and return unsqueezed result, use

+
>>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=[1])
+>>> print(dd, ii, sep='\n')
+[[2.        ]
+ [0.2236068]]
+[[ 0]
+ [13]]
+

+

+
To query the second nearest neighbours and return unsqueezed result,
+use

+
>>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=[2])
+>>> print(dd, ii, sep='\n')
+[[2.23606798]
+ [0.80622577]]
+[[ 6]
+ [19]]
+

+

+
To query the first and second nearest neighbours, use

+
>>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=2)
+>>> print(dd, ii, sep='\n')
+[[2.         2.23606798]
+ [0.2236068  0.80622577]]
+[[ 0  6]
+ [13 19]]
+

+

+
or, be more specific

+
>>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=[1, 2])
+>>> print(dd, ii, sep='\n')
+[[2.         2.23606798]
+ [0.2236068  0.80622577]]
+[[ 0  6]
+ [13 19]]
 

 

 

 
 

 

-query_ball_point(x, r, p=2.0, eps=0)[source]

+query_ball_point(x, r, p=2.0, eps=0, workers=1, return_sorted=None, return_length=False)[source]
 
Find all points within distance r of point(s) x.

 

 
Parameters

 
    
 
  • x (array_like, shape tuple + (self.m,)) – The point or points to search for neighbors of.
    • 
-
  • r (positive float) – The radius of points to return.
    • 
-
  • p (float, optional) – Which Minkowski p-norm to use.  Should be in the range [1, inf].
    • 
+
  • r (array_like, float) – The radius of points to return, must broadcast to the length of x.
    • 
+
  • p (float, optional) – Which Minkowski p-norm to use.  Should be in the range [1, inf].
+A finite large p may cause a ValueError if overflow can occur.
    • 
 
  • eps (nonnegative float, optional) – Approximate search. Branches of the tree are not explored if their
 nearest points are further than r / (1 + eps), and branches are
 added in bulk if their furthest points are nearer than
 r * (1 + eps).
    • 
+
  • workers (int, optional) – 
    Number of jobs to schedule for parallel processing. If -1 is given
+all processors are used. Default: 1.
    
+
    
+
    New in version 1.6.0.
    
+
    
+
    • 
+
  • return_sorted (bool, optional) – 
    Sorts returned indicies if True and does not sort them if False. If
+None, does not sort single point queries, but does sort
+multi-point queries which was the behavior before this option
+was added.
    
+
    
+
    New in version 1.6.0.
    
+
    
+
    • 
+
  • return_length (bool, optional) – 
    Return the number of points inside the radius instead of a list
+of the indices.
    
+
    
+
    New in version 1.6.0.
    
+
    
+
    • 
 

 

 
Returns

@@ -3035,7 +3277,7 @@ 
Submodules>>> x, y = np.mgrid[0:5, 0:5]
 >>> points = np.c_[x.ravel(), y.ravel()]
 >>> tree = spatial.KDTree(points)
->>> tree.query_ball_point([2, 0], 1)
+>>> sorted(tree.query_ball_point([2, 0], 1))
 [5, 10, 11, 15]
 

 

@@ -3055,7 +3297,8 @@ 
Submodules
 

 query_ball_tree(other, r, p=2.0, eps=0)[source]

-
Find all pairs of points whose distance is at most r

+
Find all pairs of points between self and other whose distance is
+at most r.

 

 
Parameters

 

 

+
Examples

+
You can search all pairs of points between two kd-trees within a distance:

+
>>> import matplotlib.pyplot as plt
+>>> import numpy as np
+>>> from scipy.spatial import KDTree
+>>> rng = np.random.default_rng()
+>>> points1 = rng.random((15, 2))
+>>> points2 = rng.random((15, 2))
+>>> plt.figure(figsize=(6, 6))
+>>> plt.plot(points1[:, 0], points1[:, 1], "xk", markersize=14)
+>>> plt.plot(points2[:, 0], points2[:, 1], "og", markersize=14)
+>>> kd_tree1 = KDTree(points1)
+>>> kd_tree2 = KDTree(points2)
+>>> indexes = kd_tree1.query_ball_tree(kd_tree2, r=0.2)
+>>> for i in range(len(indexes)):
+...     for j in indexes[i]:
+...         plt.plot([points1[i, 0], points2[j, 0]],
+...             [points1[i, 1], points2[j, 1]], "-r")
+>>> plt.show()
+

+

 

 
 

 

-query_pairs(r, p=2.0, eps=0)[source]

-
Find all pairs of points within a distance.

+query_pairs(r, p=2.0, eps=0, output_type='set')[source]
+
Find all pairs of points in self whose distance is at most r.

 

 
Parameters

 

 

 
Returns

 
results – Set of pairs (i,j), with i < j, for which the corresponding
-positions are close.

+positions are close. If output_type is ‘ndarray’, an ndarry is
+returned instead of a set.

 

 
Return type

-
set

+
set or ndarray

 

 

+
Examples

+
You can search all pairs of points in a kd-tree within a distance:

+
>>> import matplotlib.pyplot as plt
+>>> import numpy as np
+>>> from scipy.spatial import KDTree
+>>> rng = np.random.default_rng()
+>>> points = rng.random((20, 2))
+>>> plt.figure(figsize=(6, 6))
+>>> plt.plot(points[:, 0], points[:, 1], "xk", markersize=14)
+>>> kd_tree = KDTree(points)
+>>> pairs = kd_tree.query_pairs(r=0.2)
+>>> for (i, j) in pairs:
+...     plt.plot([points[i, 0], points[j, 0]],
+...             [points[i, 1], points[j, 1]], "-r")
+>>> plt.show()
+

+

 

 
 

 

-sparse_distance_matrix(other, max_distance, p=2.0)[source]

-
Compute a sparse distance matrix

+sparse_distance_matrix(other, max_distance, p=2.0, output_type='dok_matrix')[source]
+
Compute a sparse distance matrix.

 
Computes a distance matrix between two KDTrees, leaving as zero
 any distance greater than max_distance.

 

@@ -3116,23 +3403,66 @@ 
Submodules
    
 
  • other (KDTree) – 
    • 
 
  • max_distance (positive float) – 
    • 
-
  • p (float, optional) – 
    • 
+
  • p (float, 1<=p<=infinity) – Which Minkowski p-norm to use.
+A finite large p may cause a ValueError if overflow can occur.
    • 
+
  • output_type (string, optional) – 
    Which container to use for output data. Options: ‘dok_matrix’,
+‘coo_matrix’, ‘dict’, or ‘ndarray’. Default: ‘dok_matrix’.
    
+
    
+
    New in version 1.6.0.
    
+
    
+
    • 
 

 

 
Returns

-
result – Sparse matrix representing the results in “dictionary of keys” format.

+
result – Sparse matrix representing the results in “dictionary of keys”
+format. If a dict is returned the keys are (i,j) tuples of indices.
+If output_type is ‘ndarray’ a record array with fields ‘i’, ‘j’,
+and ‘v’ is returned,

 

 
Return type

-
dok_matrix

+
dok_matrix, coo_matrix, dict or ndarray

 

 

+
Examples

+
You can compute a sparse distance matrix between two kd-trees:

+
>>> import numpy as np
+>>> from scipy.spatial import KDTree
+>>> rng = np.random.default_rng()
+>>> points1 = rng.random((5, 2))
+>>> points2 = rng.random((5, 2))
+>>> kd_tree1 = KDTree(points1)
+>>> kd_tree2 = KDTree(points2)
+>>> sdm = kd_tree1.sparse_distance_matrix(kd_tree2, 0.3)
+>>> sdm.toarray()
+array([[0.        , 0.        , 0.12295571, 0.        , 0.        ],
+   [0.        , 0.        , 0.        , 0.        , 0.        ],
+   [0.28942611, 0.        , 0.        , 0.2333084 , 0.        ],
+   [0.        , 0.        , 0.        , 0.        , 0.        ],
+   [0.24617575, 0.29571802, 0.26836782, 0.        , 0.        ]])
+

+

+
You can check distances above the max_distance are zeros:

+
>>> from scipy.spatial import distance_matrix
+>>> distance_matrix(points1, points2)
+array([[0.56906522, 0.39923701, 0.12295571, 0.8658745 , 0.79428925],
+   [0.37327919, 0.7225693 , 0.87665969, 0.32580855, 0.75679479],
+   [0.28942611, 0.30088013, 0.6395831 , 0.2333084 , 0.33630734],
+   [0.31994999, 0.72658602, 0.71124834, 0.55396483, 0.90785663],
+   [0.24617575, 0.29571802, 0.26836782, 0.57714465, 0.6473269 ]])
+

+

 
r`pse|D^bsTP|JNF=|p28j-9+acd7T%=d6Ts$*93wZ&AiF1kSa3b#+UtfuJ&`AG0@Gh9+R#3VohSxjmz~~Dy(etBsZU=-i%2LD=jfgeZHhjsaSZkj||D@AHsDKdtaQsB7*M<0BLACLl0P&R=mV
ziYzC9%oDJ5tts=)a>eQ2d$7b!(R`QOeV(c%_RuAtLIP-4oaPC_8|M^3awp|giS=NI
zDqR|wPEtvO67p{Jr(i9xUENv~k1cY`-#a~IMvn05&^xKB^NP*x3X1oonI5m;4YgoF
zF~5LzqMk)
zKiE@M7yRU#fOy0$v_}AJH$hnN6+v=>uS%?fuS!pg;e0CeQJ;apV|#G||8tMLL<;=1
zv<9&a8OYcyc9mO29(F2jZZuoyVBj6DV*4Xrrl?)kR-hKX9X%I&
zq{uA=tQM;Yh*d2_kykC|5nbd6#=jK1X&~R=!BiU)uJ%+dqZ(C!?IsGVh9XK%HB^aJ
zHB{+k{gx0#&u-sAgNh;EaVmC!hfR?x_9WUNWsWJ*LF#o}@o&L;y{8jySz!gbjeuAc
zNECS$i1GwWhYH6S#cWcZ_js_>l;>TZs%4btZh-A32rG{wNKScFiB)-2=~7gl815^2
zb)!E8;m3C4g#XnZGDiyk7TS@PxvL!3O!(SS+-{Gv)9Lz-+Eg0{8$PClPE}=N6I`wq
zT{)3%Y=`ROlQmmi>rmt0ANM^^kKKa7n(`e2V$~E;R8~_S^fGmxSXAr$v{YHM`HJEdD>i%tkf;BlU+Whi_S!0wg8&bx(Hc#zg4
zNJ(?f%&8KqnNy`}pV?o{R-Eeg8!{M4#5&GM{)+*>cMu$#VH-mpqIDh7%2ERYQ1rO_H_|5q<
z>t?9nqQ?2~03e|RUWlInh`zh1RjV}+@a44$_%n0@yqKlm6ZE-g4ZdwnPZ0u_wW^KH
z@MI0Gr(4!pPtzBQ^JJ`lL>&
ztQA3W`mRc>`Yuba#6y6+3G9P6y^%%s!JFPR3jYVOiCE#khshDAoBc(V$Y8(`l^7$
zAAXIc!Gi8Ldn4NKgq9B{C?0WU^}8NzK*fnLtD|@dBMnil$6v;@yn|tjY71^TpAx4v
zGE08mV;oNa6?3h32HB%C35eAmi6Xx}a<6kd)q|yGkJfmqma#``0k)eU>^v%hpWG8P8#EbgBrAXae~MP70DCOZ1Q2Tx7lzw4=5M&KU?*lv=r
zz$=pE1YVU`1zwe|>7RV0I?_j=pjL=$oLb%QVNIl3wbFB2l@YvxhZGAf1^%GX0Poks
zT^-|MEdjMGYLR;=lhn+nZ2CDcRyX~XB0nkIac}K|hja`9u_~M>@+%xth&lsM_Msmp
zo@aXS)D&)+r)n96TMn>;6i$&Or*Nvos&K0Gn!(DAqHcG<4S`}}pW+nrC=UxG6>}pU
z$xCM%NLow}(t_xWbkgW5%MjJ9jL5NzHetb9$+7kOE
zC<3+`rwH%&5IIs2o|c|q^(jKLQrl4*pXorZ0H6?Lq;0h89hhgqNs7*Ph~f(!Y1;-E
z{hX}Si?rd4Ud(%2A3VK135ZoML{VA2IL3perWZ$fs+Q4_IRtl5l44~=M
zNo^dihi_FOAhH-@j1v`b0%131r8$kCwpp{cR_S12ZK4jRzbYGNX{dzQW6P?;_QUL~
z4faCCOw!^vdnoA^S=Qn^2#8gSMUh{Ned*Re=)qId;`e*1meJx50cx
zI9QzSy|(Ij_T~fD?(A#DDAMbH_w?5-#H`m36A-Iji=y&+z2~31U3E>b|JT!{GJ3r?
zpy4J7>$M_DPOnvoRj*a)lS&GRVsp1FB+w(oDo&3c@-QJ%k51O|Ak$FG#}nxFX7qP4
z=do=<7?9fdY>#ZY8O}PeoPbz$KophNfwdkyH66IbQ?-l^tOM9?lCTaalH_zil~{E^
zl^$v5aw^&d6+mJUMx4Z+;UQU0Vx5PgWq#YY1{@RRd^mW$Kwv7AS5Z}eJ{*+_iN^x<
zTal0kft>+e=R7#KB3(UqAZYn*uUo0Rysg?ajA%7TheXjF@PMm)TZZ(HwOmQ+a29#V
z&24aFMlLzzP(V`KU5SDsb9Yx_0qSsPMjg!LczWsv5Od00`qluMkb+B9-Ri)JnL`CP
zGLh3K0+3|^{uojsT!8n%85@l&7W)m>UX&|7lRACFgG~wJ%k2f3->-PkkevRazn;w2
zgv9H!iIPca*+R*mCPjZ6fFkqv*HATrzvo?^=8df^SyH*6IWsj;X}~U@&9zQ?Ky@^|-^i*FVwX!)do;if61qbO2~Z5{$gWCHkEgSe
zh;9!bg9*g8<2-@|9)cq6*#x50MJa~cT5^I~c@a`n8Z&u;l~Mvr8nbVL|KLhvhUFrS
z*|U)Gl*Wvn29w5Y2~K@Ca4zWH6V&QZ`k2H_;>CY4O_)7<88|QF;M{OVG1`_i3c+^R
zRI#<*fXzJhahVK^4nuP`GI8dRf5_eSGE><=)0^3%nG!=YZXw?~lb9W7(jOANgBdVi
zDjlYAvX#+D(mc7M-gcIvG2{b|zmc7pg-*wF;
z!#A$E^j`OSudS6HF1Zwq7mtHsEP?H6t{if{>y5r<>&!`@#Z_H8aG*a5UV<0#r8t&+
z&j#Pc5{4hglAqXG>47Dp@lq@~+%gEV4KNfPvIJ>^CDj0R&%8C2e*W9@KCx4M_M;Di
zZ;3tH2H(XihHvmH;IidKwsux$Wv+X8duDpN2^*-}Tj9Ldb7$bT(Du%kp(vg$L{T(f
zj$0P*#L6wBp5m7I*5uZCwqCk4>m2$Zm|JUY@Lk+u__5r&+SbnMcy5X2OL41w3c49v
zXIxBqE`1Qplo#6IyO_f84W@WUpj&ONtd3`iXuK3l`jUd~E?a+GTzNZv5X_Z(Z17!N
zVfb-e`IN1d)$v>rjhEs|A5+l%tF2cq-h7Kb2*1b3mNzQGz#3c9mx
zZS=q%(R4ZXq$gs|m5JF#5+gnnb&lq8Ti0CdSsTZmYi;md>|yvOdt^@`&SXhJ*RZwG
z1A9c%rPwpqS$;15FN|Z~Yi;md>|^)_`vRPWx7ph1frX;^QY;*77PF7qI_hHB
zJ#h@X-v-~sFoqw?uy5Gf>49OQ`BDsnYc{iMR)#$c*hc!_w%)k7^5ZzJ{MH8F#TAAh
z%asN1>W?2Gnvdj)zdC0zOP79=n_&54jHU{0|l
zfxoa=l;W66Vpa#7`;f%!@yIJqVkXEy8ML+_MM9F8UA_)>UKA%W!&~3AQwNmNY-3zU%uh&w;wu)O#-_AfUMU)O(`HvW+<^
z_1;@NSmN-<8OZ+BQ&r!P+TCkyq_k7vd15RUqj@WqQfL`Ht_1++I)Rd?dO=k%U<&$tCqT?hphQyYwUbHM|e
zA?XGr=lds5C*6|3`=h@`K&+}Eiu|hKzO?o~Jy>e0@$a6hx@sgJg31x9@!wG0O%PTM
zMUb3os1mDcsM0h|m_IFJkaVQF(|6FIDu{QSa(&surby-5U6cGRy30N4x}}NL>qG)#
zRWDKGRj+^~f9H5G)l}?kPt`Ii_9TGqCJL*VB1%rhREbr^RB5UQu$8eNX&`MX)+f-Q
zVu*K~id8&pid3=dGZP)WFT#46Z2ZA_EasSjIRLLZj!JvDw5=s
zQI%MgQI$?SGk3uY`u%+tA|(vnxoHp77JC?{wp%?6ja1vGm}-??lMz61<5Qc1xgcKy
z^dj?CQJqxqK2P`D^2RE7F9ETtpeQP@f?xCCsj1+XJypx7;5PuanjdI?2QID+!3zNQt7dM(XVzEHx2(o2P0S6?!MYb`yjLY3_Bnk@{N?
z)>;PxDQXxbzmfWUI0B#XR4qf{FP5ON(@6cmgLIC-HY26v+-js$>4^cEFf}U`R2|F|
z!jCgkFAwN+gqiw7#>(bYv$eH4P1Y6!q$p$M5%1}P=XVGJu^LrT4J<7yq_-u+;2P+f%iSJ=y`V-2`DLPZ1<%k5q}(9;s4a9!lk@
zhh(fosBvQaY!4A5#dx3@EARH;>Sh>A@LdGND#4=2FTw5+^%EW}H3|Nhr)n7q{v^P5
z6NDvL5hN$Us>CY6sSjAlw
zdBxqkes#!u-Hxs%@C!Uu%Lx2o0NYIx7I;OHoWQFRtH7($J|>q;b)=6#L9GziIJNqj
zN7^FQ>US|?6R{5xK#wis&JynuW-JMmDhOi)D-U7o~mUOZUew}lY|vcktC;Z
zs>G^rs&v4KBvU0Ea6_P&*rzzfT8M-QSp9A#AXfDgMPBvuES25m
z!BSJccX+CnQNH&8Y&Stz`4mBN%BM=K%BM;Pl2S5Nxq*NOMMM1K6zx?Wc10@M?vSza
zK~I<562vO?Z31FdDN$5br5^EMsj1Y@JXOo6)T02~O%PToMUb3IsS>M7snXcIlc~1E
zehG?zt;Q+Bw>(6SRD|6yW98Dj-BT8~7_eTPMnJ53A&ScC#VQY$nqI8*R4tu-DT)b#pWo~mW^`a1yIO%m2?MUtFes}ieT
ztJ1Qm?NWU#3kmcHv5M29k9(L9sYe4%lJ}VR^}+KzjDT2mKophNfzv#AYC16Dsai${
zmH_M^9Z)36>3}M+>VPUO$bpxNc0mP@ScDNLu?KrdmXlcL0cM#b@5X>*mYiq@PyGib
z+Sx)?{TCFdq9P8IUSKu$}Qbt;=C
z53iLFIW#JqA~C%XL~ifuGgL*4Zl3{z9NwIfLo*RfCKCgldcQG%8B$`Xs#^{@J6)*6
zL}sV^vjAjSa^8fL2$!5*veW&Q2b&UB&yt<4@Lq=Zd(Z$&LY%(aUr#3CLgMw=Hpp~z
zau@pL)p{G!Feqgp%ka+uC^CP)2~{KbyIfp1)xNORf-7bqJ>5*B`v2Se5;(bvYHtW+
zn}h@c3Cjd%43G&XlMwb0_B8|tNZ178q-Ull)0dgL;Jy|D0NG)xCAM?#aUUBfnqH+`hM#Q|FvIb?Vfqs-D48
z0cVcz#zUn9=m47Fa!eUc|8^WgwcvGQo5nf@CIU~K*5X;`E=)HIS6ah&oUCQHk<>f{(3+*qH0?B88bk!Q62dP*k@7*M+2->Y$Qv$
z#64LD$~))OK}fmooKxqGY0-AvIrjw&$4Ph2(RXp@+~J?W6W=+1}zc1u&LLNwujH8O1yWd$C1G_VnR1ty^53DmyM0Xag?udV3COSWde@{xE4YS
z+4jdM;lh(m7T;BV(s7is{Jh6e-t4NUi9nm4^xKgWd@sc%#;$RiitqtYI0E(jhFW#FRBMbDij_V+>0$&gJ{UJ#
zid!zfkdFG(SH4Rj|MZnNZ6oOG9_@XXxYX`FESaT7e|w}bm6)*4=WhAofQ9N?flzJ!
zLkXWoW#IuJL<&#Z_dh4R=1LVXZif;sRFXpnOE&m8n{)X{(7w{fLb<|yrcoX$!Ahx!
zlRGE#ojQoVdBp-i(ro6Zn<2I0(<
zq~=5be{p26Ax^tp;5ws8BrjJmyTu{IP|0-aDqYXsgY!0P
z=n17hY4ln1+6+f^uS}7OWUk6N?rB_zQ_RJuR54Fos9l?aCow<@`kIuarl5QCkvPYR
zf;~u{OcE*RvfbHtj&DrC+Gt=#n&Ma=L$1^S9eS(#3@g1iXGh|VDM?$Q^0h5cIdS*+
z`%{pP5E(KZ(Nu!`_~O)5`s>or`8-+ru;zx}Om1j4sy&}(J2?YMEX|gvEY&*3pEBr6
z>AWFBA*1u=NugT5YMhxW+<6_|-Nrj#uUp75UjNqgWodshL(`=-^CO~biZx@bV|1Mm
zHN`tFW{bPNW?|uCHpc5~78Lqx)gjo^YVCqedzji}`Ue)jK7xF_i`C@t$Gc>R;jMFlpC|P_mlICFXa^bDeiy0@e
zF;~F>it9=Zd6<4M_ZRCKYUZP+HED|)kmowAO0Gi<{?R+@X4q$JHDYLO+4
zBFfGrXBRROaig&Qx+ouMHBJ1S8KLl~&U|Cb3`gU60lr-AXzucB@X30P)?5I
zOm7r-xhOZ5mUqVz$9(ALq$LjeE|xgnkA{gQ4t`2p;>d*F&#qT&@cu%NFLuNJAR5__t781=Q&sS5eF_%&SGJd4D3S-js>{J
zUWWhs_o}l`sCr
zyh{txI@eYw&hK=)XKF%<)ic%j$a|Xt
zKhSLvl4hGy9Rq(Ic;1p?MTg&7bnw1U#W1_{+L`7K6saYKHUhs+M!=f{*S|Lzz=_5`
zV$kp|jjYSZ_Zckd^*4$&jE`gff!#yZz7d=Ovslw}F|9@hKUu2B{E5g^?i=G)#;ykh
zk`h@DxC`xWc0FKVl6N)Q$8}SW{m#JLttyG^Exubaa-_$5Q-t^(#tdf96N?D%SXNlZ
zN^;rSQ&fjt%QD*md6_Je1gl}eD{#E+b9T42Y*~L+Ou^nQ23p>1Dnl$ROw||!^|5-`
z9cjWo=??G1C`PFHDZ`_S9GafS)|-(CnC|K*!P3{0%v;SY>t;V>^(T{Pjt-X~Z=xcX
zLuo^?RvCMdF*R!sn!dkSL^9+t~^>{dCRH(c5j(PLk-Wi(sZ@q
z8`L?%ZLm#;P&QARM5pJMC|Phd;~aI?0@
z!K-_VxUQ+TqEe=?j+3gDK0Ls|+`*zu9MU?L$E*cVzxJEXm?A=lvG$qU}Q`ZEl^{u`l$tlwa2BIr9=&?WL&J%x%_ML
zT3!ffB}!wFR!}<4_KKvBq0N{W+FLd@F4JwxZ)^l~@kXf_+t~1Tk40VR_}K3@&#phI_yYFZIGicSxET0PQFh>tZuIy2koM!=@}bG>qMfMums5#2}TM9T`mZ
z6pG?_2Pe0&p2)q3+hgNwe4rV&NM8K}=Xi
z>LoQOt3`bD*`sN+E{1{9@}1
zB9mML8s$P@97b=~6`w2>4kke5+PCZO8A}O;e?khIy*H+`i13!dLD#1wHFa#>D7Z0{
zolHC#9HfaCi7nAzoUtYP>jH{`%O)q9Qhtt1&@fb&>2;4c`#@b@(OsWHTH=C?B&l=K
zoKagUC+i?v3%7b_oP<72TGlJBC8
zy91=pkN3DEd7w<@x9kABaUsqQAU>sbfF0A$PhFIPr_lutN=e#E7g&t4lSv}GfF?<#
z3+OM-E}*|2er|JO5cGv+OF*X}Eb?`VT~df1=@f~>i;5~7&d}9lyabtXDboN?28dmf
zp;Q?!p=?%Vb~o*IKcYB1JUHsuZyDnuEew?!1Jyn_-xr1^tuYxoxq^@jK7xLN3x5B^
zf;+HOQyNr0cfFkKPn6Y)3AX&DWsq(0YeT|hPhGNX!F-c0!GG(v;(b^2CXcu6NuJ20
zVw*PPeKkJVe$3zld0)jZn}{E9^shue=B&9SUy_C=zi%KavCARF1$T~YSz$h#!}G}y
zm@h5=`Gp#`;#G$Ru|02nN!UU(aI&$$!$n7Na8Rs~70UeuUMACSiC3zUu^*4i#%4Uq
zN!#A
zEq+62%~b-1T;8LGV?fNljm7v=Sfv!m7a{lZ^NY?`uu`YfHTa1)l9r2n0FTSgra66R
zd!3=|;#AlFO=*^CPkj$*19v4E4bsH?Cl}&0F~z4;6LYq+@yhiO^HmErk7T=kA)P_e
z?XYu7Qqu^{>voupvXhA>jZjUrh!Lv4IE_&Kb^lCap^4;YOAq}(HRLle|2IX7NLHjN
zNS!02Dfr6_rAkv!X#%Cvk_}iHC!*B8?yJ$*RIdZlqM_?_hI43LGPlV3WXMx>1jU7Klup5`q*_o^LzIYKK>+civYd)YP
zoM0d>g!YQOrlhW@nGo6tS{y17Z;yNHK~7e<&4$rlNd@E%qur!)`P%}4T8?hHUbiQI
zbW1=B@2ymf9o?cigi$FXmRcwB!111BBr*iBxKP=0;j|=+_R=J&TTet&2B<}B>J7-(
ztWB-LX{l~95-FT^YfB`XgqKNXZh?^6yJb~s%(0A|j3KoTQyF4Hil97=)%O2_mtdpp
z3BtByqs*fMa@!~coy*@gNYt{GvQ)Pyzm*bD!#kLY30WzMN3c>H;;B12+bPE=bINJ<=FTUL0W)6=D`pZ(e9q~6z^$3e+kDXXzn(kTv?1sZnD@;Z$&z3JN3|G*ml}q?e^eLEwNUg-aDzrcJJ-7VkP70cG6rI*0#B0iVU$wI+s-UhMlAp
zznw9Yo%9JHAUrsqq$jqM_$kg#5*W8)C+)Xd9^sy_>1dAbtD@`5ETI+7Je!P;mqm0`
zibEydLxgi?%l-W$b?krY?yZ*k`^(q@QfbI<*rkU3(Y=lCMzxh4NB3nG33JEM-8z@w
zpWh7Rtt@F9jpVA2ibou;{X|b_%=6naL94yTsTkXq@h58`5b9n3*8Pypm|rGikim>`
z;bE`x9?_%_@q$B#y)ZmgmnFYitHV3eSG7(de%Q_Z2bvomrxMqOpXUr-);%th?{t)Z
z7&cE8!-}Z`FQEiw`T6#^%y!k%#2yz>xvd9HJVOiLe-^ZuW$guv*9tBM&2}bN9EkjE(1)Q3b@$-lYQg%lF1P;*h2Pe
zXan0QHztq)PLT=ZSCOyP2_)66CXich$Y%@tE>tbd<&@}@IiZPSwZ|*rpNH4>vR!9fH|Crh(oQUaZ2?}pj|?NT-eKWk~^Da`y7ED0AGYP5e!
zQd33c4K-STvXcoSLya^+BB4h5i!;~8DE4z83Ud*5jMf`PzJ5V_8AzCQW_CqMv3Bm|h?z#n
z!7%2lrXS1H+LV?jGg?aiC0vM8^2MiA$)CuiQL-<8*_e)`U}{KzEhVWb{oZmU&avTX
z1Cl2bMM}RWN<{kg7pL^=uS=T{5=}C{ncV0*RC~U@^U4%r=j=NrWBx@!sH<@nD#e`!
zy~1$H(FUl?O0_EYlprD+JFtV8XF5<7FXmHF^jZD9gJ!<7H(9eh*@vumnz-C^KAF<)
zWFe6~=VM$5dX7^R^w(Eqr-B{1?Vq`jgSKR@d
z{m=`B5aT}t%a_K9fd1$O9GcDH{ycx}FT-e#NPXKf+We=Bgb#Ze65#|b*c}TCYS#eX
zV5?zG|Hj9<(#-G8fuAjj@i<21u?0MJAN8IgaclQ}7m~X4#g{*k<+}IEHe^~x}`2!fSVVSm7mL?HIKr1d)hcK0_0j3_~S#%Ht
z39q?IVvs9&o7jtJF8i7kBA6EW*+?5WSgGGii~KS!#5tE0pT=V@`?eHJ2_NanxgjN~
zIhW1r$$2{w;ZN8kc#SxcI7$>bm(@gx%w_c#=LAN7ZDuyAl|i#}S*ktXgkwVrv57Bo
zYCzp6+=mjtz>;
z3!&*{5NYR+=AT>1edi+VHs9qVwl?92u=ts+cQU9*^Qoq9AL*h3
za&JjksdH_8>a@HYVU2D~{s_K+5Z)zJj2*$J*#qTii=x(oJR)40j6sG7J{KNaZX*Io
zVeE7_9g$m)Q0#;L*
zgHLXdn5Y5BGVc9@Rq%T$TI3S*D-t~sz>>ZBWM|9$23ucRNk&pkAKu*fC8U#4FW1py
zIO-+wCX>4I{PLYfIj&X{TA
z!4H6dFnxYVPi&a+Q;g~335;9WcyRD}l``F_9X_}`&+R8MMZ}s*LdhrGnC2f6QzSZ3
z+?^E45ufw+lRsyc5_2!YvpUySI8{1^HsiHhVY~kl-Phf3lCN3|=;HmGNMzeO{_e4;
ziyhk_%6IjV&g9p-X!dz*!E9$jhr>p&tA>$3&fvhED&ah0DGu`bJBW-ei+-hMLd
zs-=mDby2xJP^GdYJ-J-Ba(1$2*R7hk{bXlQ$u{lCvXU!Q0dkQk$M2xITAgxG-D=9Q
zh%j2y;Nry^VI8k7%$ZlHYx4m6MlZR=Yt
zBG$-q^6F|yR^I)%1$PpTw2z|
zi!3ecFV3Z9{WZspCYn+?uR)=@%pp16{u3Ie-TPODP9`@L{DYGwZz$Lr*Pxt}A|1)x
zm0jZ%T!^!4h)=0qBjp;D{uC??aqmq@YKptJ2#MpDi6hsb3?O+jL8Q2Af<(k!e{qVt
z{+jbPlR)HiX2ifsb>d7%x~ENZstOq9YB0a?EtCQpnNU`
zPooQbCM9VrUEmIsolFwh1vE(_T|j?vb^-mh*-K1RJx#(B}yH@$m!x
z{)q**a1F{XU$ceDUZBYm-M*79VJqC0kVqEcjJI9N#?1gBH|!AII>2#ZAvbLBf!wg-
zm+r`H@pga&;R#KmLvw#e26F}!avK*iCYL_HfFs_%#GIC5)${xO{JoR8V!KgD_eghO
zfOo_lI0fx!)*a}vbA6V|U#ttUk8Vl_zgVX_jd_osYDEYmz#tG$*g*LY(HL
z_>^i+#$0M5xf1i$X3$M3Eg^iRi{Tw9Nlk+@uZ!UpB9alk9wnMII5p8C2B-ewG&uFw
zY*(0QB4xkwglfoVOm0dcDA8V;ebhNJntkOArAo6;X#%Cvl8sdvva3|Q?yHWN*iQk6
zq$^M8yNC?=1wCf$nL!J
z&t18yRP4j{t%Tz;_s{`mB5qA*Y9TJ=09{B&e|fM(=dq|`GfO=q>yA0KI9M+=8HqCK
zF1tI#50_>n$^@OuAIuwsyuNX1jmemHE@qHWw|~5%O=fHSh2dqlIyu@TXuG!?6%&d!
znQ9;_*7=M#T3_*~J1-fF3=t(RTx|1yuXu@J(?4_s=1x{}nZgRvn4(gs9VNjFyLCsQ
zbzz$#agJ~pXUKe(;%Tn(lY$;(`T2q#&U4k$M9_n%JYI8$CO`)ZT3DNrr}YKB-Nl)S
z{9Um{{<3*eakVDt=tNK8ku?zI3Rn3_Jdx#FJekP)Ot(Y)vfJ?%S3ON|MO2@YE9uGQ
zwA9%-FVkZnOiKU^jnM
z%dD?Q)ssm+nitD$(KC@0Gd*E1$2g6=zu+D_B`UCwp&2`pm*^KNQ#3f8lFzEdK}|Xg
ziaR5vlNQrc#{Im0V7f{@9K5h4Wl>5~O`nLZ0*MIHk+gsdaXOO3Cu;-|6tH7fQVy#;
zF$GJ)MLLO&OG#=D1$muBC!_3Sf=DNkCP>6dq`x?wMEdJq3GCJk^pjGdKT~PuI391_
zkp>t*jssJOM|74;?(;ZlvKTL8yS>oSQ>_m25v$m*-l&a~78W*?agF$J4X1+@IL*3p
zWgWu)#9)BSGSo=`mQZJy23(%ffMo7Tao)g%IK^3fN)_iFsm0397e6%Dc!GRG3Z8~Q
zUzd{96lm`PB+e0OawC!_lSB%%CP_q~^%ti=>#qmpV7(@lpC=c@mukx=@QoDWMg%^w
z52@w!LWWYMUzNs>lrdK=r%%sNs`RU>!BSf)7udtkz&>QQ6xNIlybS;M$NvNIzhljq
zKN*Hvtz4>)(FXT>{iW-0;9Rj*D~@)PMsl1or%knBB^_r8s$1ZBXR1!pX_ppq97d2%
zSVZ49uFQ^drLVM6xeWiQn(faBS1qO|;n!O9xR?F`6gTC`HmI_!s6V4i@Gswz?!*YC
zdEt1vxhrNOQ;L;TX!+duU^&Q)98iw(mrb#W--udHiLSBj9T`l440(@UNa+JAx%5*6
ztJJcpmc-y=>w$LxtI=@+?V9^e}BUi=!kH|xFdc)H3<<}W8&3kQZI2fG!1
zD`hlw*UGM^$>VcbArwd<=)J|xZ(26Iqfj*z^bzz2vreU#><(q}o$#b3?5*5um_Ub0
ztU;jYdi8i8zIG-tDdZXn5k}2DRuEou6)TY|`S7*fxL+5bA;q!bK{xO4Y&$FX64%d*
zDOj3D#UV%=cuq*-rJc2g3vt?6;!~=fl@iapJ_Sp{MNS*)DM?K$EAO;nBN4z@TaFS$
zT3MPP5i3i7aaviySHU^m@05~8*P}FM*Gn{HcrtKN3Q351(uyHT%xJ}&%1P6sJSMLy
zHAZR`eOR#mtsBQf^k*|5DW~e6Led=FWlk6L+v1faxVmtDF{!*VPC@QdR(;%Ojh-Ku
z0?fFZP|2YO+r7Iov{N#J+Bwe5m?oG}pc9`J0jzhr)y$M%WI$Fj<)=i6>^iKCW{g)9
zaG1SvdqmHQgF<1wVB_?B3QlGR_pU|a?9(VwU8WxXXU2jsL@NRpB~wj&bLc!I7h9O^
z7EQZ5d8EkEqGwLuZaYriDAr&okIDLSG$~!3{2_$_hB_gk$R)vvwR>_>q=s>2d?aU*
z!6wQ$(lY9Z=3r?_I3JF_i*Sx(!7>qS!cUQK4xR$ZV3Vdppaa{#o^8H1FMYlSHEabu
z=b5X`aoEDZjP*#zKrlsX(^E99^vzec@LvE*#%s_lQ?u2&1b@TUnVO-Q(P`NPNtxIw
zdT5FhG{Y-Vi?-MlXEzsHCF`=21Gc
z;YwckAd9t8x*35dJHfThDXFxSdT*h6+r4XK^-AlcPkFYYG%~@i4hYuNbVplia_K?;
z*0kZ_?meg`<3#6X!bmd}xsoS3d)f@_D>jOfi^_IMNTHGR6B2>1pUTPCcJJdE8Z1pX
zYH-E@@SU7A-JZ70HOU$4oo+aD=b;S9N)zruB+bE{9f>>4h!|6czuVY6m4c0F>g1fA
z`2ru))OiDHvnQ-_e)iK8G)ViZmTPlumLcY3e9Nsd?!z
zb^Zu+lj3UWyD)WT-=j<&e%d^y4!fr-BSYQ8Rk~;gXG16(6!&;h`G
z9L%8AC`OqTCD9WwlBZrJFxn
z-s5ZVO-4su5)f;1nm`RylhFivHDNSY%6CkhiLp6p=dKX*lv;^?&@A(#-@w4Db26~q
zyDCGgq@6>p$~gK}IO(|CIUme`th969hom`JpncPBGsoegx-$irR;(PZ&NOl^MrBST
z=kqC8C?n^y>FJb_LzK(K=45+C8ab+yD%FylNg6py4QfU@jGX&`ZjzBh--VI$KlH?#
zhxlpp7&+|E$z$Lo`*TD|Ef_Z;e~!Y8HB7{xqiPe&?d;Eyue9Fb`NqU=qI1Q1#IyKw
zw$~+W1%HleX6wdG&szl(C!_sMN70b-H6%pJ{&E9Or%33#vsz>G+9|`j
zmt{a!S}z-rGza~IgM!@Vi}B!e}^_$!mqUydNWZW
zM!TKpPplCgiX!9ix~(T|Op!K;u+vOQA1yQ8ariP~Mm8H|UqWZD6y9_j5s;{4vN+?Fx9+*uGX!ut^MWQ*B4hWE`9zgS02fN8|sxel0*gSqnT25JaeUEI;XOs=G>dqL12I@Ml7BuJ;*px45=UygmN3&L
zdg^=;pr_A&vNLvw4W<)&2aEN(>nh|6u$M?+w_Ib#PZ8|K<>ay%ddz0~d(7WE&Pov9
z?I2d;!r|PD&bl6P+h)ECheKHN;E`~BpSKdUq+ZqZmBZ&z0huO-a#S369DQz;&Xqqz
zWc=yV@}>0~U@7(KFKV#N0>g-F#4%nII~R#GBW$0-_x#z3i{ZPo(LDIOUNcIq~hRVy*?LBgip
zyI&%u1TxWP;udweT4Y-nrkoJpq*dsexR$M#DfbIC;O=qB)=NMPZ!#4VvR?i`
zv=SpjRAOyr%t^)~gZ<*d#Xi_|vXmPZ4cn7sf3h4&)+g9u`nTPHm!kpU5iZe2dEm+
z_ZQ|VD`Yr&4zbT?IQBbAF#DM;r6rB!|$YcD2P3^ln6A6Xu{H8k$8@~_h
z<~V&;8SJfqAl^e%7%x;=2Z7D7+2}C4Tq!#2tF@-;LX<^sys_K#OQ4a<1p7H>$b5YM
zpIzlA9n~(&w~lHT2X4rb(RKR9zg@MQinYX|sf_$x>m$R%)mo#wK2)qVUOiH6;B37&
z)5vj@Sa%ea+giyiA!J|v#8Is)xwJ2x+;7&t+&9j?lrkO|mfr=I_JB<-mWE}3Q^c^m
z1NmAtEU9i9I_MYxA@MwPd=alRS$7>L3DsLD;)qhMWrZRxK-ZOe8&x_XQ7=+v&!GE(
zcgO=g7#>W2GWq4@V7RrE8k4Y7V%uc2mU&5+>{#Y2O&nHyr=qT~k}&0*RLWrsBhuaqui3O?!5+F;Hk!*>}b%G_ObLbq^hOK7@PW`Z^08RrcN%2jz%o
z$8Z^XPqxx{V>j~Rlt!ANREv<7&DAbyx{T$zfD6EEcS4~fWRZ(c)~o@9#lT}9ygaFn
z<320vl+so|Z9Iol@Fa}>j^n3c-VLQBH4XQiJN3O9k-#`d%_fQ5qpwL4IYUi7@Dts1;Ypt152($c)^u%U4KgF2k(#UPrnY&n7a&)FG2d|}B
zya&Kdkd^MZyI}
z|EwsTl!A4A(yD_;zF+9JG;8t))bM^zg+)#NyoXFVOWgcs&MYe&yMFfp=5*iD1mQmO!4GmLl8!ygjrBL9*v6WzC&!EM{+vPzZ)9%fr
zKY6T3??GyXaH&j}nbV9dxfrL~uc;DM-EyfoNp&BHN`>m4Pfx76`6)(qON3kTs2r^N
zWUW*m85GgSX$m~Nk=j*6tO}RIO@cZ-z*Sy{#BbcaD#s^ENwR)juJihhEj2Kie2TbL
z^hji<5`Go;N8N2$%bulM)U1{bXySEIVNoqRGsH^n>h^+`GfBv`(iRk>l!f`qZdVDY
zgu8O$`c{!MWOlC9UF9b^S7iD5oGY($)zXA>MN}SdlZKotYaG>@lTMXfI#-+$u=z*D
zbAV;+s2JcB85NH}zE(#?s#}eULh5-`JPNO4N5u|fSX^+D)43ufT+g^o?@Epwx+i#d
z5I*hR=OkKca$=j5CTGQbYVKCkZcN3`1XOG$D%^CYr21DLKwV)y5h954uiQ&$&6P?n
z5(_Sz3I>Z`5vZ$J2TO?GIXx_<_EQZFDh>HTewxxy)1mNbq>cDke#8YheJtYB`1n|!
zOTm+7^3uoh$CRY4_*ni*Brtp|Hc6z9MUy1rW6@unJ{JA;aMQ<iiUAs!OxCSucxTRMT@N+8&s&>>0S|Z6}M)A8VlduijFotbq%MUM0*4
z^qQc~GkzYH)nK40`1Wv^JOemO=iPc_3mh!FsF{vn#M(e0ii3ie&ann{dBK#wA1eiwh$=+<2P7U&g7!cF{~x-}$2*^F$^liWIK)cnBZK90Pm^2y7Z`
z)=bl%sbYZ5Qtjy8W2pe)6rCheg?N6vgN6Cxc9%O!Fu7_Q80OT}I|Ets$L)3^mx$XX
z_KCP%)i|1n$=zNVRVMS3=$tZXX$W_%>it?u%jmG8@hMDqaj!%ew|l)3@$|8XdIrVceubo6SSij{
zA8$6TqgJe}D|H;YU}519imN%c(6MCU!3&q-H$NOA9+ocT2YkST8VOE_FX-tj-$t{`qTwuCU17Oiyf)@l%{d
zCYaNTMYfoOUMmPp#HH1jQivZP)0Z&i4#zb_3y3$+#xJg6c(B?S9PO<3_YamUCH>ch
zOxmP-UNlojZ?#f^t}gW*b82z0t~ar@Y+ijZQ6Q5i;qTRX$1%(yFC7DOZdR0Rsw=xb
z>AuM}@$I@TPBSxuX%|q#`z#d}orlj1F;UntNok>Cqa8q?Ls(Hp6yHyVWkz97(
zH#tM*<+ty<%1>H;ljU2>ZxdOfRa@jQyB)uB)zicRoT%Pbf~Iw#R@9^!`*laPuH@51
z?6gw?TKAiX9rE3n0(j1vkkD-~qV_p}YtQ>$*M9a1Cg(#N@1{ygVAvPX+=iJ
zo_y9T+D1!_&ce9^Wn{0zzk<6_5$1wn1UGaJl^O%pK6bkF;tM%n>I2o0!9I$k?L}ZU
zZ7Hf%hwx>zP10Frsv`oo*nqF*)gy?tHgFU{xM4)pxK-$@4r$ZrXZafW^p!WgxSFZ^
zs<+2OY}C!6Ke-}+ZXtmYM%}J5Gd8;GgPi*N@=Uid+%^7HDY!dgwCV~7-MNePWsM+zH?&?k7P6;xM;hNwb0
zVRD5%HBcorJ_oH(hf1q=wyhAyU-TAH=7xb1RESYBGkC4wF!U4@OoQ)u4EWaxZ77AN
z%@&$K`6)yeqJnbofDkUZiV3s1$oMQGe2}NNRst$ea(Lfc9T^@hLD8)%_Kad9P-o$U
zzCNg9+%*YNg0H&NTO0x2gics;`>Go%ru0&p4W*uiOe9jUOr!PX(uPv4UKkp|>G`B<
zl@+VDHb8@yY85(fkM=aQkzbP@DPN&?09%ymXij4Q%>bxtnhVw10k_eP#H_%JAb*3q
z$A?72I}|&dw4ZcmgA2@G)iY*j6q)Zq$!sOAK%rrK$}|XQ;5`KO$oiqe=J;ofpXdbG
zjBBZ>)Y`?MmXKLRu86&=yC~D^lKk|#@KE%?m%2m~T|$%oB@#BRRib($ezHJzFFB;7
z?J_NHNO?M@LHqzh?{Dh8WH3`iN6)2Tu
z4Z6J6htTdiIrT^>7uOfdD62eJ7Gn!p#*#d3QrAJ@2bMGCk@ieMY%If2R_Vpq(ICT`
zJ`Yu)&4+6xx*3(Q>TK(RosCa0lt(H!u~;Z;oCn*$UM|iO9zIaw;D|8c+2ko#>af?_
ztbr8^T)aX`Wsv)41Y_GET?ikHy<(Kburh=rNMXcd=pY1Xv~7!wwyftfj2t70BS+J^
z@HN?WAz?sc$Ax_motLD9CVHD!N`is)C6aHUjyVQ(ncUNww9)<}e?RlL?+hfsdv-E!
z9StLwc_5f&4FrkVl&fC(OSBiIsrZT8(Q@If{~SHBx1OKky!B$_YQQ)1$F
z3&l=wo_L>pY24!Az-V0A3&8
z!%!ZEWW~F7lGh6!)Or0a%Hv>(V4@T~u?8)FX}g)HEKh1An_UP9n(6(73X3iT-24B9
zOz|8r6rD1|ZW$-BV^mxzFiQ@|Jxwgdi0b1<#|#|WJ5lpG
z`K5Dceg$uAejVp(=l-zAtpjz);j=qlV#q%_AHQDVDnE%|vV4nQyE;Z3)iUQdyNwsS
zaA<;;0=1TSxsx?ax_CE5rBDqFUf8W_xLTFOx#4`AyUJC566a+37Uy=P*{EuX_+hu=
z23IXj@J3YL5^vf9o5jVLiTqi$MgFoI^D$Rrl2~$EK9+pZRelmnWcfBrx~i3cCH%u~
z#l5atnqY~jyd{>*R(I1_rlX5H!39P#@-BE`x9(@I)+O=i$N6~lKd$nVcqGfWcr@L#
zl$FTYFYQ+S(^YE|JQK*Y#IuG3Kv)zWpt~#3Fkf^#P4(%+cA564dEShd6Qth%|+6_G2)xe~Vb#gu?o$o3?
ziAl12n@N~fs>bX<&vqO7Ty-?TBvExsOqyoQeO>&SB)+T0sGoLwHo4l9#FNo{Jh|3Y
zeiBb)`4&%74}HAJRZA0G5tX;Zl^M1Z!o`@WI*H~xAz;ny~|e(P#y61RStk6X{X%1`2!EZ^o<
znsv9scO7GC6WkJ&=j2v;@@Zn0>2xk_{uslb!9fxmV;JBRi7~tf`C5%Jq`Fm%p>U{i
zjNyHFohiof$dhZu4KfI;u&!1d9-s(AT5rT6YGK9MB0{QKE1WTcXencLQAvOE1?Ya_
z9RcZrli)D=lPfarUTUU@j9V%*<4DoRaJ`WVW`Wz1&e8m#@yh>#?T4d~w4#bbV-j>@
z|4qH~RQ7Eb(01u6H@=+=Z#TZQ(JC*c7%XGem)CgvO7-4axd-Qm6$@v>aXmOH$lBSq
zx>PC*G#bP8Ws4U}5BOpcfwoxQ3sf9J$Pq10w{cZiYNoRI08>OuNtN_7vneaattpD1
zXM{?mkhdnO6PQWfnS#S-;7{09X?h;XWAszB4@*6gwUZzhr*bau4@ScUTa6gVOSd2=
z1S8;=U6QxbfFe!g1tl(KN({VLNw>dyj6f-F#(vkGkNx_6DSTn=Hc~5(dHs|Uu^qPt
z*v#?w&mzA@+q0$DHN@+G!i1tsq_FIWEElFUg+%OG5-}xLiKTl#h)Cl}87g>GRG@T{
z#*kJMgSg#GqH()z+Gp+xob4;uX(g*rbQ1u(3AA!4uw6`~|y
zO|D9)x96%w%aL~@=mMhNK!2K1;!}`W5e!QFI-F6g#5~g5&y?{y9M~iDE(d^?{scm^1e(VcszVe;
z#-Y@;!g_=TW0jf+NyY+p&w2GWZ1bSNZmnQM_9OVPu6$NyLN6NHbjM)~I3ieuTEs(M52G!dIN*s58Mj5gvwd@5P05z}N=_
zWA97vR%TC}0e0S#o+YU#I!w|I%O<_>7R+GScNX+6nv)f-m_J-uHy?kz;S&F?ujfAq
zCm){AeUEqb@Fn9VvdQr$h75iTDj*pw>L^I`un`Dje}SLh`CO6m2$OnLk+vM
zMbt=V0j76bjHOg>0N>t4OrJ%fbYYHjb$z7P57QY
zU7)HDO~&jHCuY-t6Lp{vYLjKJY6iF69k?ByjN4&O+=y!E)FIR+&F7BZ3}y=*m>rpn
z*%406<^dw1pl`D@u!mSQz#PGQwfqUaTN-5nN
z66-nsEVfN-dq7v<{HoiWsOn53b5~?JEd@=(bsu
zYcqs|_1JWNEzI5xqK$7&Z=)%^d!m8Yre{%pH$jU$!b=n+;T207$vLz6-hRlU+byCQ
z0@26fK2NGv50`q&{W#m4gJtzlJ9gcE1YF+iBP%&a*
zJ}80aQ(Of3tHfqDIq89ej_+B*EWNW3@$Tul#K{RQB;QD;CI;f~pOjD@R#37P2R?p^
zM9grj*n5w6B%-Q5JYjfafB?@`zL-JExx*xOAlv==ffH)xszd1$S6w6Epe
zqHDD~axJ+~xZ4-&^=faKoouS>$-VZx?g#e-Im+Ncf!nUHTH+H}Kwx+b*fEb2QwFge
zwQp37bk-*OX$A&L-ecqApUKYc-zc%4$n7%ZR=xn0L>jx}O*1H<@zF#His5efLKFC$
z+dN${V$;foi?V?ju4=w~oSfq>UDGPF5bljEzsx|L1h;*vv(W#X4i*Y}vi8MaFn|Mn
z;1Gi|kCL$`h>ol%z|%!5A~4N#97|grNB59}7^kb?7?gG5&=vLy@?=`9fJ@rcaSRZw
zK%9heI$VI2YN6EMk5kvs0ffI%B&LqQrk%x5F6tdFD0yf)B~86fWIQ-Mi?S{S#S=Sh
zXlg_i%oThxr$!gP9$pXKRd~B#(A~6ob}~nR^cQ+@ic6Ia$%2{0o@?zfCmXWZXrqN5
z92kScw6G4ty)fE4@ii#G?2^I@FTzc5(7-T;Cb5FU-Bez@DVH`oMG-X9Qg0B=V)?+=
zVa;fyhfdn&NR+`*`3LJni+cvEJ&T8mbu1<63W;BpL455w<9x_umypS%xR(o$BpH24vUu#tD_LSlf;N1^wm`u^YPJ!4Ac4Is
zfrjJm9ObwhHw~it-)1OT4?JwM4yN?MzzJBPl+p<(DKN+H-2$r45P>aHo#t@jXlahc
z^N?k23LyYjE;>+i6oWHDa@xcoVOL3C+nuUe=qxAbQ{(Z!nO=}jk%`03$
zC-30Exxu=%$SxMRl~0JOD)hiqH%S#lzdwTxx>*Eal6+>lFhItTE`Ue}UL+%0b1-Be
z>YkA%-mE`_?OQmeaQS>XDTVZdR2w+3Vajf_+u8V23F5^p)=-8o}#BRKl-~;!#ox
zFGh_QL@kZCzbaQv8F>+fyfj$mh1e)mp70c
zfh>oS0MXn@z2vFWriE?uM{}lclpBL3lsbPkdyCHHpPQsS+TNRG&EutH?hNo!G>#d{
zye5S8FK&-!HZ>DDbVK=rY-%6_-fu|c+r3|f#5cU^OLmGq={gd*e!;nt9X6+rD_Jqj
zUP3b6WWy0Z^e*NaQv*K?&fyh!r+bI@zk)K)r&Gq1VIs?O=~c7Gmd}2aJHxK{lh1p(988(X
zxg4Fryf~?Ad`Ygz(4W+9;*`~H#nm`kN$v)D6o(B`9Vke(e>$nm-f=YOw4b0;;+}j;^4TZd`Fn+~uM-^SIkLf|F;l_JLP
zQKIBpX_2}dLC1p|DfqTeeSJctk{ygnCL|3${-ioC4d}&Atd|pl+xs(mM{3x((&(1&
zyZq_u4VI)!V_p6f=_09*`McmAQEV1Kls>MCAX*?sebV`~FQFbpz|ZXRr>-kuYaE>#
zjr>z-^9)u*hlcTEny7{kuEfta`E#T;h+jK3s=eJkxFUiU!%^Kt;8hzP^Jn!}s|~td
z!1%awdw-`o)vZmy-fz)F?9y
z(kc(Vm|iQ9d#Zb|w7xVrwsL}xjX;C?=R|*((#A4qg`Er|b(LtMKe4aWGqMiZXKX0e
zD%c%?6o^L{!keks?$cYMMvYzL&nQ=hM;hH&2CnuY)tEnZq|v|VNL-45=ehRB?ozFW
z!#)SF9|M;;fX;+!Zv!HS35s3HL@s5_-#hdrRD|~!I)Xn#lpElna?iCtgfja(Qyc0a
z)Bs2{h&GM+J7J=}ZUk%Dpm-mCPbgK!{9S9>
z-Tmc_ID6F>2X+Ln{0X%2VW+;4q2X>Vcpxml5GRJiv4;X@@*7aMQYZEYuZHWTk-lp8
z#vu}^ooSy*9lKNbtZ|W(rKGpfy}n#83lW{!jh&cugg6>PQ9H;uS#^kkm;2Mvm^!xF
z@L+^*JIQ3-6!=&lgBqAITpAAcfUzLan;z`B=_c9s^>*|P8#Z)`t>~TA+PcMkrS*%E
zvc7oCpG`TaM9P7KT(LtP9cRp+g7=FKSaK-HGNabt8>)uh1l7z{iw5F;-*TzZ&(#bx
zh6Yi^RGgD8;^)RzPVx7KKn->4zNNRYbwe+Ky>IsCFg7@&0QUuB7>3*ujrt(S({Pl5
z{)vvabA1#cBOAMESJ5Etjve!N9ITRrPseQ}=ufX6LHDgA=dS!){Oso2Vgv>Erd^~(
z+$>iU-3lBd{nL%ymyQernHkVMY?;aK{$>aXVumXHV72Q1vq&SD(lBE2>4TkCP3GN6wz)g$aSL|
zQ}uNS)Fqzpf{Gv&4cR-ox)F)5~%nJ$HDYq=D)`
z0R~PSIL=#7qgb85pLPOxmcR+S031tT{kZ^j0!MZO97dqv0qjlS^=|{XlE6Xl0GLl;
z_xAzpMxc5Rz#xHNJp}L+gYV(#X9RA;kmr4Xz-@%j2LML=sf1@^beLNsFzp&Rv5S%H
zVg$PwIlKW*U5r#0Bh3L
z44g7h!ltW9f&sy3GZAJD?P=Nvc?Jr2DCyx-jl}-MavdZ1*fr#anEe>YJ2(GDfjw1R
zDS#j}CsoC+n)6uQ8OeZ?p6S34Gz7LHe0BE^e9wFPRFL^*0?gh~;`TcT
z%mJEe<5sAJoFG#pUzPU+>t5^odjlc+j%Lu%Q
zMEE)aEW&@Gr=4d2B(;_jWNPg|-qzAgUs;f8O*Yf2b`$=x-9yxh8iCKu1h|6$cg~Zk
zuNDa;wUH8JYU3rj+lZ*NawWBOoJzHeaF*@*8ex79fsfAt_zZzh%muiez|6e?b|din
zeF6SN;I;z5e-gN2KY-T}_+AIV69mpY7~mWNdmIL^H-Xa803Lz!mjhf(V9_xEO9|AD
z1=v7f#c=>#1PaFk96;b3Cji_>;9VyIyobO)PXhQifkRgS97W(AX8_zn;O{E|ULbJy
zD*)~%u>V;A3ka|p9VM;$4gyI$qXe0Fwl*)%)|Ig99ENWi*Hk*iH^N)>L&E;=1m1ie
zz*`Bt@dAKr3Cz6^U_SzTUIefYflm|oJb_PK0`OS^C$0fFjQ|fSM|b1tLIO#2p#+)e
zGMtw#v@nc28Z&F)aC${2YKNrL9n_jH6Ii(x;2Z*v6ZjEV(r1b%TT
zz^@5BFbME4ftxA-w-Wen72t6KUmOPbF9N@*0sNl8uNwf*5SY9HU^;gn`e-rr1CV;OKxbZar?<7!uEkK39
z@mB(zLg1;_0sMx*Rj&tl6M=bG19T9m5@-;3;mrUO-U9GAfgch0__Y9^A#jxs@FoJE
zeJj8h2)saG!u0_6-vID1fg}C{U^xLcy52}O*arzD$pR(FBnv%xWkH8Vrpbd&sAPgL
zmol;481SD+V7K=HEFx?23<61Qq6C@Rlv_VyX3e{D(wd~wsTL95vPB;u>_0)^^|t_A
zL*VIm1N@f23AX~AN?^fz0Xhk=xx5!O{|Ev}EvE#TTAq6}7Z*{bx4Vv8Kvk;=XW8m8
z!u%!zx4s|XLj->N0f1)-yz_$q?aezJog)aacK;VV115Ee^
z08b%m_u%Pz0!h@N1evHam{->8!y6t`Rhj=2_b0R$`K_+@!khdpw
z!}|g^XLkxY6cGqrNradE2uRN-aO+b5A0%+q(*V~HIN+B62N5X$3ZOz@``-XeCh#Ew
zA0u$X?*ZOU;QBw)6M^Rl{4as;{1xCa0@pkba22yhF5MT-EI5;$lvz!Cxv6L^$B-x7c_f#Ontegc0d@B)G7agC|>PXazps`YLp
zF#B+Tb^>=2_$qgY>KL}iL9KclsmY)o8B7s{@2Y4TW
zHD?0!5cud>0G}jq_$q*-30$@s;I#yL&IMRU;E?kHjwDdN0H8wPoC^WYCvfFO09O-u
z?Ii$jAn^WI0eqOiecb>L5m>MmU@-xoz>Ng{NZ_voeozE>lE7U(0N*6=kzRmL5O_@=
z!0QQ|R|2?*z`}ljg9+@g4qys_9~1aFfy>JPR}z?eDZqXNzB&kSH-V``05b@@^VIcFyStMUw<9o83J8*1FR-+z&!v55%?E@?Y{}|7=a%Wxb9wn8ws3wAHXUC
ze@^zdhEKXqx3C9?R!J9QaA4-KE5ucomN#3k5Qq(qi)clvvW}0%!^%?u%RTay
z*oKSfidKuU7q7qYSZZVqmY&3ytvu+o
zR7`~ZZYUkMH%i!PphA?e-b2WpnWj{RN2ii`2fjFI`fP|+aWs7VQSOkJG=yY3g5HXJ6AE?n$q4@{<
z@h#Mr;a7&p8b|)~L+O|nQSx6s{^X}3Jr1w)cQRutc$t5v-ZCA2iWmxzRlK3ldX-MZ
z6PRyAIz$;DvSO&GI;g`mIO%Sompb)StHi0QR?albDjy+CwFbpZ%?_6(zij8XAu6XA
z%id5{V?M4s8XQCf1loYetjQakT62~(^g=tY{CRB=bLQr!K#
z3Sx9nGDHwz76|!bLTM8+_PZ@0*M}G%Cm?=GI&BZ`;7faO;wh_EorRXE$T{zk9S{>J
zZNuq?HF)`s+fgWH;t;Ux)N%<2wDBbtu$SxFcrF%t5KVO{zEny_<9KLIlM%#|5mhun
zS}DS&*~e38q0GLIrliv}n;>asnR@eW${7T^281NP5e5UIDdHmzOru}PkQM}X)yoJ-
zDsZ?@p^9_7iF$On0f&WQwXj<0Y&#dOJw7KHX9wXl6~v|?k_)E^vA)9*-$fi1fpdlC
z*9+J$inEGp0jbw*w%QPeY}RM<<-QbpE56*5l1}qwdnL;|uIM`TEIqN=KH$va>ma+q
z#AYA-l$@b26uFYdnO4M7?u%=s2%CaWr%*;w@aHM%GzFcKJtd&u`>>W`&~F+RR3!cA
z3+OlbMMb|CQs|=S_s^7c$@FUr==ZkoSoB+kpOSv`1@xPmM!(o`LJC*xcUyAycp}>r
zV|Ge9-EuXKc(;L8L4#lTiF**a>B$$_AaY0wA(W^rNlB*(=Im<5AVQQgy4ru?rxX?X
z^3otOKp~Mh(k6x8iZ3fu(rLb^LBxBK1XrY9i>F1PdV+i^08!Y;r`yZNq^yNi2guEezE{cAyOG%eZKVt~_)14OmK8>GJ{^-jV
z975ik(jwLJcc-M&Esq&OXv31~hiyjBi~3kn2hXEVL@55H1rEz6KYlawl9tM_2jMTL
zP)1Skiz(?e1)Y6wdN3LjDU&FO4FSpXx>)NXpY`!XN`q9xA5BT88=gUQW+XLyXKIU-SX
zXvu{Zdy;j~IQ5(jDa}&NZ=|Hl)BIzM=I;mR^oy*k+?YZNMY8Kt(rJ=8yGoYzC2@Fz
oM~hk>Ev=ONS$fB<>ErjO>DRnrvaOFc0kb22tc$F09D)1)0OM6`@&Et;

diff --git a/docs/build/html/.doctrees/classes/spatialpy.doctree b/docs/build/html/.doctrees/classes/spatialpy.doctree
index 9c5f3485497d2593094e052efbaa563163a1a9f3..fab5a45253df17d87c84adbfb0ec084e793b98c9 100644
GIT binary patch
delta 1456
zcmb7EOKTHR6n4@~Yx+u?)QH%ot+lqACaEo=xCj<2E}}uvuB3*^V!bm@~z<@OqoYRS>2V+`RP&8B4Nj5lJcGIcAjd5PO#)U&u
za1th=7!v_+#Ec0rxWvX`c%H!so>4qwc+So<6MW!AcYnzpCcsNwwvgxV{xo5u{B5`c
zbM&_jmVIy)1_~kJHiWp+{Ey`{RMF4~@h@sZCPOqPG=Cjx{2Egw)l{tx-Hc@fF(o94
zj-lnuYvxlWdtD{%2-jJwB+S!i*pgBEbm$?z7>8@gLJf#+*a!dBl27()J|CjegF96Tw86!CK^jg4Z}!z5(gF
z!)}{>kEZoS0Th;5ngtb~Vk}x%i!RG>ZKO*iX*6Fcqp#Xcr
z91?2RubvSMi7s|K#R|nsCLx{44wVIf{BPoUOR2P?{A|tAtJj&;s;j0Z5(X34
zvHXwjpB#50|E=c&$4yYDYlI$kpY!ylC51%OL`fPDO-r(5u$w(&^t@|r_zW0EM!y^k
z#sxz#G!!J!0unJ20aZ%|aZS-Lu8VZa{i>^z$T1R+N^(K5bjv;2*Q*oJkW?kAlXL=c
zl@wc}zuZfg_FxwjNWl(lo0dZnWMX79DD%Sf_9CD}U?*b2aN)X(l1|}*+D3up=)1oD
z8`b5Mt8Rr#cPw7gaZKzfmipj6cjU-HG~=jhCV%(XG^NvCiQ8
zD@QBRPY;mF?|TCTx?$LvNP(`=l%=VR0X@f;$S9HdYm!Nyg(HxH9WMoB#m=g5^pO~Y
z*sOr#cuwLO!80~1Y=}b`-A~utVH{*0_oSnp{rO`Lmu|u>xXq*8upEa;7@Af9QLd+@
z64^VQw$WxCtQkg�T%O{hIO1dtHvh3hM7(aHiTu@^auRk*jOc6EgW6-PZm;4UPlu
zpca-hq#n=Cf~bD+m&mnuXnK1fZFqx2llCY*2zWipXEc2}xKf~1>C}pFVUwI^{7z4y
zdZ8ysg6j=Ue&evV{JkBORxTW$N#|{|AmE2f=Qq?|$6BL~C!G{eMP1$fa(^|H_rO!9
zrImB+=}z6DGtG3HxQ#*C32XYCy+{)|y~t>hS%TJdxDkqu?9W*y+~k(O4-Mt&sP8=&9vqqkO_r=m}Ge-rCV_&MH;VnXjs)N1f2^r^8krVu5WOZ;D
z7&EL(sT9-oMJrjLY(A-*c|Oy3ksFaXuk^j*>HY*S^*>zRhAq%w0XAX7b^=9Jqio5*
zRdc7et$?P$reZ_P{oKN}TEItQ15qzS!0|EF%u^<~s81Vw;KwJW@otnG3tKPPkqQ>}
oSFB?83p1pvud6fTfd=E%KLZn_KR8Eox`}<%i$ZamWoMIr0o$O$x&QzG

diff --git a/docs/build/html/.doctrees/classes/spatialpy.solvers.doctree b/docs/build/html/.doctrees/classes/spatialpy.solvers.doctree
index a972d00078fd8f9c9b97eef481c9429029440532..9e89df7f6dcc3cbda0ce94e66a821c17eb6f5e42 100644
GIT binary patch
literal 234328
zcmeFa37i~9bw6&|I#<381~aVPmMrhemR8sX4Dy9!%SKq1gd`g~#K^O|vzjUI&a7u<
zB`*nJ^5ZfL1mcB20^zib?*SKqPX<&QgN*)jNE=cLwjwN}477dU=XptsbA5PJfI7q0Pz!mYM0SYL^e;
zqq*uy)l&8N>LaViRR=pew_M+XF>M)b&X()VnWrZ0salazl|`i>iIOD&AfPZ6Hu{2uh1E2rM;GAb?dIy*g(o0*_b_~
zVQoz3WqC0=1KRhS2P?NvH!H0cXj;MtEywJua*U&j;z`F>%h^$>y0aMjuGZMM8iaUE
zXGN_(Ub$Vf1a2f=L3CDuPB&|$hQpoZ)8$%ou5%tA`6Y>mOWKI%IvaW6%@Jj*D|ff&
z$|(CAL0p3P&U1?B^2kW4##@ACZz0iXM2$?(Zbi+9fz=Nsjft3XfC4T94zB5}0Xr`r
zYL=&~8W%fn+b?Y@skM@FvUj#!1r@nSdX;3N(M(#kshLS|JMf?}F(4R{j91!~=2Wd-
zYqe`*TUzbLShb9oNwZQWm$rGlHZd`SDz~{jewe$tWV+cHovci?2Ci&O&o*m^s_kU>
z%8ki|kGkOT$!7R-;e|;`(s<=?WwJ319$`eP>(U`u8B4VeS}_@K0Sp}B;!z%{(V#@P
zD&P6;165ELkR>S86l%^yvr6Gl>NC*}J17EmZK
zt=h!w0Nj`Xvu-BsY9&EsYN1l&k85^cpIozJ_l|wrb|rhS-@a?-l?nXYv3viH^*uc=0}
zg1)MZpi6p@|B+))_2@;Q5O)^Wqcu)Fdj3sd>@AS@y|A?
zjvN^|RG%4XG!JcoR$P_6>6Oc_E>E^98%Z06q4$%hk8&NXjwVixkj{lqy>xvWqRXwx5HV@!
z@=eL5lBR>eh%uP@Rgq-q^2;GAqEPnq&I+oLN}u%UeqEoSb2UKTnBMoYL@F#?DIKC#
z9?)AcwX(D9$XwYD(7plMbN|e!U)4HmZl9XmO5=g>9pk1-^KgZNyZfN-7kPi3xy1nR
zv&w}LD)91nE=WjJV3e(Sh4m2{D|sDN)|AG7_@y!2SqsX$85l}5bxuGMNiXPkMHf`{
zXVssh$^SBCc=Z<)eZ$z+(AeyOon+a797N{6K`=WJayucKS0l}w;MLf#msWN>wxskU
zCHGV!7vrxfjG53Xb%Bf&vsGbI(pprrdXp!bO{yxyar7VuZRV{}H6+`#J0`<61sT>^
zR?nCmJC8WS&V@guoTm^+kPeLQ%I!u|r+(RGk_Nak`@Srv??$%oON_qPbXL~tl+V&k
zVmbOq*(d*DcDp;=EwFW>JTuuoc(^<{Q!z>CoYtC|o^CYT2U}C+X8X382IkK01l?x4
zbjtkhNSFdUhZj%a&&(*>0Dt7v*EtczNe+wLJC`>*UoWyo6_Eqg?wF&kVn>vabLG3(
z#qij6s#3z^@C=B%RPQ+;&corJp6KdH$W!!mo!(Qf9G?^J?drf$NAbDfjq<-u}&tZMkdJV1+}zg=z~sx=c4Cqlm?|geOqSVPkb=XEo#;CTZ3pvJo460m1>m1lKMDW`7PH
zmIi#r8uhlmDkB#FhP5o#8QaScI&Mw2LSB{n*?J2n`4(=25V5QhMbc>~y;Uu-f45W;
zao2REJ`Taf!P|k!`mA=UryB_0R!!Cb7nCQp;_SF%L5Xll=k(4>!AR2_R$&3JmxiP_
z5zskydKN+K>}JkMLl`L571&IPErUP$LWNwKkSiNXP1v_kX;AmZ8&l<4eU6<9RXeLt
z8E2K
z3%pSgNhLzT1u8DYv1|zWPP)r}BD4t9H%+m=b=%ljWx5SX`Ff%)-iYLXyO99as6leG
zf=N|KwA5iSust%cZE~`41oE+v`2w81d18`M?5){)yL>y9R4_m`0Lj$Wrh#%RIZ}cA
z9{d$;;TpqerG2CVIXtl}fIVG#{`nd`X-aL$(5tM7J&LRT2>$UJk{*-@*)47bbZXOs
zd&n1)UQCti<*mKddytU07Q@Wl0&mE-0l~HkoMPZ#1!tN@9-fL^0hT
z1ZNJ3Z;gzO7IcfrU%O+nW4aJK>YN=6{s0>wAD29E$6Zz?jp0+>6GFKiy&1Y9y;lu_
zKG@W1VAQcKgF%f$GWeI95UxKx*V4eT7Rz|+}H2_!S*f(#@kVDApDm?i6G>aZ%)
zY?UY1C8=@?jRhwR$~ZFynV3xjux1aci*;_XQfljQjpm@LeMFO!LF9_6+}lJ6^3A@W36f>5c`^m|_AprUoJn*TV)4
z{m*&mJgQ=v1KoZtYM6#%z}1~Z+s6(f4$rI&<%(8Lpl60vAY~2t=yzCDgl+9@+$xZC
za!T8}*QeCc^q?^ZTl1XEpqxBm=ax2kvRyDnnXcp0B71V?)-bz4yVof+JAMjk>hceB
zUd)ak$4Y8;WD{ENoJeg(yfKX&U`D*EMtgk9&DmtCJUxvLLr#LDh|>VO)!Q`y1h7L9
z+!i>K8f+vIi%#Q7<+hm`U^j$yV&RrGw9Y$PZc@&Js(VZ2{;|-&#XR^AP{}_J;!~ZM
zFb`ha%K@iK+S6u1<7~?F)V0LEOq>X7i}69~p1
zxMxi%MsjOqmhV!5Ek}nAK@?F=CSczO6cj-UOh+RFd^Sp}ZB52OnQ=P8uw<6cNg(p0
z)Vop+cG7X6h9!0a{?R;pP*#*%5cvJ%1$IGa7a>#v^fR$iqzk%MIuOLnoSX`mUnS$P9f3!@2!T)yc#6;TI%!s2IGyx{k_t_8k1aG(;d3s8
zN`9Y%PjxAS0$$PW5EaqgHwCI>Q<(2tw$O-!`YQ1@szIc0DMhrJ?^`~AzJ;d`$bkTc
zh0TKKQ4D_qksfY)E6=nc+X=f{5n*HE0gxgl+;}1a^l)IT(S(fx)0oTvMN8X&E@mn%
z2{6<9=yM>7gyb3|@G(q0c%DE%JkfzYRmP>al8V1I8ErHsB{o~qV^GS;4x#FoSOx#g
z$Im^)@N@Iq5mfy|XOD$+M{eL5R`3=#)LJzNjgo?!gRaV7;;{E`WIHvt3n@&gLdegW
zuyVM1kG#=&a_)$Rl|qVrK`JB)?i2d5>Y~?sg4hczEvSA|_2u6K#9nIEvV6|>?e*&F
zH$Z2wtB}u;dr)B04||U4p!1f+xbMfMH@FjsodAmqii4+QR9d+Rw=CPj6$?)R>sSW3V#KETiob$&Np6P&ue9fIKs)$rxZ;tfA
z@DM}WA^wdM7rT??zrsC*geQ6`CcNX9hbBul58-h#x)Yv+DSTI{OL!@w&Vkq)!UGJ6
z?rf-9!0s*z_Y@MH=*bXW#7>rN;U4E9JWfbK;pG?SJ6YUr`##NWi)4}SwMg17(A8Fz
z&e^$8X3pHAfcpjbmKBYBd)Eqk7MLyHxWc{z<6+;0{}~e)`##)>+N;8Thz;PD8ulRm
zuZmj8cd3ZUj`jyUTQ~|(&>urFIW=<*>bq0U&F)Tt_v=P>!?vLVkY#T{T70U~jNYo!
zwseji11TEWd*>`|bBebYwoh+{NoDDvL{dvsj}R6XTOZhKpq$vY
zavNSkyaqXqbQ$Z3+b|77dyR0x)S(#o{unLa%gG{r(LyYj(xQ=^+k4lb!n5oxNO_69
zNen=SQl?H?3xk+gTSCyEgqljI|LYHT7h$GM{=Ek)4NCWjleS|CVohi5DD3^KwA~vI
zaC^ZT%m*KYO>|S*V!D`=Qr+CBVvA%L(=Qt_jkq6PTfq|*_RgkB8)tHGjjAnGQ@f*d
zi(;kw3-Lmv2mc-_QF`#$WY}_^_(;!;7`|H!^O(-ba$7-VY8qa}uC+8?z*|KyU`aUt
zVbc6VtB;^Du@TYOUhdr;y8>z3AkCgSPGCQRwrLY#3wHd#O48We3tZk<
zx!e*{99*_Bhk=k>b#8#L84cwg>Q)fNJYNCej@_CcZ*lKhV)x|m69@Zw&ic<%QT7G+
zBWLl9!e6K&rDPZ_gcN=oEuNrrPM@lMEpE+M1*HOc1FnrLOilHx1`b7N{sySz(R_TA
zqxtLy8Vm5O5h}++vbu_y&dJw%uxr$yiQ(8P`_ihrGm!l3qcFZpWU$YF0r?SoCSPxC3^6Er3G
zg@&z)rF;ZlIdETYZ~OCzR>g9g#G4XO&wDB6HxJ{2%fW4MV9}xa@Wy1g7Yiw3c@19L
zesV9GgO_+x8m&c|3?l-IG*8IQY#2Qaqtn_-ffZ+ucz2tfpk)&}$D73Q>Cn8Xw4A)e
zcY|IcGQI!Ls*%p0FO5YKgSBvG7_OKY>k%j0>?UkszJ2K~Gi<(pxf~l(z=VF75;$h1
z>G@4N4lXqO2e}j2S^N<7UhVWueXKo`d4+%3R!IU}nf;#}?7y>Y+I+7SoymzUXO;}4WKhK$fWO0!IP7Ry=3~ik3WMLD)
z`3vQyEt^R|)K-xVPREkT27d#_*3)b-r3)z=JdOet*%FsN3+@u^@UN%^6L6|_p
zh71|)xlXlP$FhKi&W$XtY=Sk>9!hLF+AMH1m=jx~o}So0B}NNgKf6J9xW_wmpId~r
zGDG$|SZPpL-L>EoTp6-kWd@-0c$`?0;Z!d~$WOQNa5dbBKg8YU5S-f9n1U^j$+rCm
zoKaBjob?BVh9tuMS3o6CxQ~wtML)WK7eT*%OQ|p=~`9n#A8~odJCoEhdzhVp%23@>LS88u!$QNhD{inukbE$4c=c(R~WK8AnzIq@$NIX&i~B
zQFkZoZ-BY+nM9-iD7SJRkY%Gx%MFq~4CR-TriqL#qz^&Iz(is}&eJln5U%tih=f6l
zCALy>hTzVuILtY`lE1}fA5curR6j#5
zqQoc-AYb*H*Fkl#E%m89l;2*f@0sp>Dr9dDQz1lR7nzWYVlyF}7w8$C$&a-f$CLxn
z@0rH=Oc1Ewr$?qfo~|0{{MnL9eF&jtGao7VGqWAqePdf*dLLXN|6%g^<%&hF9i+kN
z_GM5t^a|0d;q|0CP~TZFR`
z6@LXQ4GN3Pk8CeaBU@4mXJAWDdJxzCsL+5!T>E{fRHG8Jdo#hL3pjs|R3a=95lEpq*!a|HQm)9|M@4%U({3xIKq98S
z94p0JuPbmB`5Mt;d7%Y)LjWHLA3%At=4^%M|n0hpCe>ahG*uNlL0MqwU9Cdy@CvA
z<@7AENVt*+XeFLfLUshS#9(JY%PQ!H@j08otM}p6A$3)StKJ8%Vj+J!Y{uzF^xDgX
zd`@E*;p?NLF+AsnH+~iC^pYTB@m}0Cjqx53r4BF52`4gw{hVrKi7n|!J}p29`yIuj
z!XfOpplZl9St0BZm5QP(D{G$^btKaABDX!%IpaV*UcJqTp4Dl{Y!$UXroc>-B{q-$SpAWLf^
zQl@++({CyDCfIwE)p}63Whi?CQR^?N{Fp_9eAFOzg-Koie;Hl*5;Tmly#JI
zEYNaJ24dNBGO?^vl}gO+FNi=1G+&m(Xf1+5qlg5}8>wi|g4sD}PFGOBULd(5n0*;m
zinn1`#M(_T`{p7vlPKOmObd@q+c
zNC{UG;jM&PO6-pCme?E!Z}B+~Z`TgU@RqLn6W;y?Usb#k&T8uY((IldF3lo^U4*t5
z#)h`U32$IKkg`jz%j&mGLp%or==bE2L2aTM>AZVMEz5F&EkH2jzaxoCVuCr=qFGbgf(5c)CEv4r4s{;VnQo{Sw8b!r}A_p=!uMS>g2aB8!V~I+Y%KF4A}u!s#sqO~4;fr-R8v)O8qK
zpCanNK#q%un)8qXyJ=)+Ohi58kEpqZT0wPmd1dVEqex4MeOQnrrx4TLU5ms^)uKrP
zA4(9B(E1WBwC1Yej;{H$9t7CmD>Nt(VE+qL@&wrUNS|Iv|#&UtQ2p_yDYi@YtQ5<%Y}LtHswOMDWp
zBtl$?vy`YEAuh2v5aQx<9^$?muW0)-UG*o#73;&h%Ts-bZ+p2uj1+be+(xet6DPcp
ztym1^#E8veJlLgMrV)M`1nBqPkumMZRU=DmeVFrT0Rq}@Dh?G6Xuk$kL+;25XulF!
zTm-bK=-B;8<537`qt}N?THX!M=}0os>_=c^eTrsRodD7i(JW^m#Zn(bUdBYT{v}@=
ztrg0~6;=k$9ty-k9D5r6DYV&nX{`?nD<;ODEXKMZTb+lCFjnHM4OnSVSX+J&tE~^?
zIGqtJKCt5raQwsOcNue!7Pzd?a76g}c&OwFU-6Nyce&v!twnHYYU{&vLn$={uKTQ(
z!!d_Ajdu@G>MyFJ%%Xwo0ccwXmnY$G*ZQzxS0-?^x#bI79pxPB!^pHi)S6izcBxQ_
z*?k2OCV}F|<}g`{lh6<%LGd~&+Ov@L#n7Ctn0}qmLe>{zrFgsT%_1x}gPyddEU0Je
z!+%tSjieoaNOBCbTdWTwyL+r11*7N>78#!O?ssFQcr7tKp2Iy(5Y!87qU
z5Io~^9y~8UQ3lU+)t}&5tPfvbhmXwn7Q02W9c(gBTH<3SaE6r!s$mVCKV2+9|cuI4$2CrH$@f~;dClJc0SU06vFA~
z^<07KwJfy(xbYy2tMD1Vi6$7?{>ge*y*jW{6DX|Gb
zlAJ<bGEch0Pv@`3&9(5`)yT>4mB@lgQ4y(0b8%-k;
zM9)yso(0?AfaY{1^=pO}Y<~?a#anW(*N1;pgk}=O4~S{uv5CkQ$JS#}6pU<7I%ysv
zIUXy;izMS}9L@=B&nRYkpL3$A)LjaDKd`qzd}|O8Dfk0Zfp{gttHQmeNc@bcP~=bx`XY_*%U`k|45
zePwvJtp(5b&(_=J+jlgZjV8VdH%5(8JE}UbgD=O`rluS4UBc1H^s^jCn+#jOFjgN`u1w^JDo(D~Ac6xokHnkl#Do
zu7VchlNCBpfCgG!!o9v|s5p93+Q
z;rwwhQaPj2wMpNKlg;*m`YXftW1&*Wv+G#9X!yPg+SVcVM`6G`d`D-7;h*?YlVVaP
ze7AYz3*Q~(&d%2d#lKEOVek-kFD4Srz9CX#-zD*fB_ZNOv;Z62T20Ectna0wJqy{N
zP)Kpao3WQ+rFetg?wn3G;mmQkJXsqbNyN9LlHHAZMct-vaV8Vx+NAj8G$=qXno1?#
zi`GCjo?L{7ltS1IHA0q$_90XQdEH~xD40TM6d9iM>62I~UPT7Ly(Pa*@+U7h>~M%6
zeuw9KPBeA8J7bT4Y6VgU)NzzQy8{{~r+*xb$NFL{KFjg?Fv#U-1y;>Juxk3fN;jkA
zJr@{ez7u=~vBOWUrs=3MJ=XM<9I?uYQ~p#Qfadm(MDrGj6)y0vuu{B!@7EFY=FQ1Y
z__8Db@a!}-)|i>ZBO}@hy)@gEaYQpVDwmKZ`x#$zFW_3OYsm=Xp2>}`6yk+sEdpe7oF)(0Pu16&jDy$uANWKA3<{b>o9_SM@{;ihn(74`vjb)_gnr
ze2xS(J44kiWM{$NWd>4)88U(jR}vXW8Mi7+a-{gkQwK7T_?+kX9(f8}(Hkms)t?;S
zE}71mrjTQPr!b^xzHMEk`8Wk#WcoJxG9O}WD$sH!`%W}DA$^N|TbTzr+sA;6bSpG{
zMr6wG0@X<8jf*H*C6aw9RvHv`n4f*SP)!PH
z_RWg#wbUDeR|!-b#~yQx`tG{r{{W0>ca)CMl<~GgqY{YpO;E{`d&5Wi6yyjs3+3KE
zWVIJmV3~V+Khftesw3v2xwpTDwspY#bo@G!BX(2+H#7GNgn$V#XYf;XCuAk%xSBLx$1Lq&!s-TFCLDPC9RpMbkGnmXO5u`dE!
zyGg)#o!a9_wBWED2{?SFTb;x8Lq%5tZl6`tZ?D~qGMj+Q8D_pWdud6-aso8L&qniB^M!}8QoMe95^&aB70SM4oTeJizug6GN5P2~5)nSAfKPSXgK{$e)}0iTGWDoEm{4q5^Udt}IRenk3^liq
znFV{7`8OG8$S^8gN#x&T_^1rYk$)pc9mv1obDn?u5)6#z-{`78`M14O<>`Zs=}NQQ
zZZzkaeWU$?X%6m+dF0@9D!RzPW%k<6(0To$%=+oFo8vjH6ZFk|$D0NC
zYlh}clcj4;GhL?1(#T|K$~Lwd+so!6S4%x3*)k&)X+1OcADYiVr_vkdIL-==gIx?v
zvbBSq2RA|JC8!z#>Q)}|VUfi}9@5F1`!tz>W}}$SddA#v^=!CU5C1m6zajXy@n&P4
zs&oFqsmA!sWTmx5`I9ZJ#w2XFYi${wsZEX_Ot&Y^byhSh6SeWV&LizSq@g6<7xq%h
zGg-)g0z2tb7IFu&muDfDh7D2y2He@`$S-2#eA2EK97@PBip8QnGz}|8b
z&NhMVdo4NZ=(iLrY5F--gpV>v9>+?9!Y}6MJ}*+bfg2BDf5&94)qW~m-b|Yi_Xt!X
z_8x*EPglnIgljIzr+!kzMd=N5P`_PhP$Cw%9V&TJpZG{uHb?whDE0X=tG%G|%GBpe
zh(3Q&Jyt22`n(I;)?=0H@V6`V$(dvg7I*9ji8zu6@0ibEML&)h@dwMbbog@AB-uCr
zVQRt$=F|E6pi*e^)H%)G0)^ufGVDW8eBPX1_Eb4mxH1R&rTGjrlFK=pXuma|uD=PD
z`o-ga>59hyQ8>h0cC*Ff|CrA}IgbJ5WflwYiSAXP%!=fJJMOY01V_1tx_zcniH@fL
zOq_OW!GM>NzB4(Z(qeR+7(#Ig7TpW$SwKfQqSb48Q8^zLiqR!{QS+1|Mkm`1#OU~(
z$LNoH2wc$~8M^9EjDD@0ClA6L2+M@iu$8wwIXycf;P8kIhes?BoRr(}%E{~6F%oiTLwW!VQiZlgyVtS8s;49L*A*8T0Z_O?1D
zM~2R`9$hyx$-6nvezLc5ggQCjs7{Knfv>zwF&XeZf;k52eoD2*SfjPekQnlxz+tOyo<~2;@5~S
zF1IV}OX+%o)z)?8wvxcptY;v#8yiicx(w1YwL{7i3YZV}@EX5u-G;{S$unq59Ii$s
zw8oWHxpq%g-3hH*pb~^TC#}@L-LlKnOnjL&6E}l>uo5(r$&8!`H(}o4J;e>>j$k*z
zp;S-*Ujqd<^uGo=v@iy0PLHVM`t;}rd3vTeoe$YTYyeZ9X-)P-xYwTqSvH$z%zTSG
zb!L!SJ(DsxPZIohrp~-+QAEdLg-JF5=+z+#%%=|X7=Mj|e6E8W{sidY0QOyYMF5tr
z`U7CEruWj|q=R`bF!ALWz^<1R$G#)7?=EobdJ9jhHgnEzSe^FGL&x-nX_uc6dLbj3
zdBN6?sYW`lS(FPpDL1lrdfe<GI6z
zWO?jXOq-4jKulI^!%P40q3qdBG;p)iW(5zofDYk}V@@`{UD>yHBK(F4BxxMM)+;Xhn=UBONT3xbH}Wc*WTscg|tE941I5aV(#lMVNHooqu9
zCdzfPby#UoxcdBcvLVMi0^1V)GL*K4DmT#0_r-v%g@z(l#~urnJgZ~)NY}4!SI72P
z?U^9STH2MXW4nkxe^GtSrs(R}lc8;W&E|Og?OGjEOv>c?Z65h@{f=@EajJj8Xi{eS&!VFF_P9zMXCbpb>bDvzrG8%s
z&FSjqmpPIv-aCIjR*JX8C+(}WAjK(AlZqjoUbYGf@P|csODgk95^h)qLS;|}Jyw~5Zv@<3WO!0_-h-9mRp*o)>M$j)
zM0^v5!zqFfa1>UuC1wA+Xo__Q$Ht*r{Gzmrj3|HiY3L>tEJ?reiTrZXuOPR3tR!;x
zyja$iKTSse6#6afRep?>;#K2v?MR6PPP4!uBAxO9<#TxL3k!G>-l0h5E*ayH3NdEm
zo;mOnPA@WWfd&SkQb_Oxlrgh!{v>ESO8Zt45x$uepXvgIa$AZrTyd&+RdA*@1^M&u
zaXD<&=3i93LUt1DUG9dLkXq)a!j(j>Qby#;5{$GlI|pP*II6A!#tR-1{3ql+^eg^Ff%i-su9WjHR&Cb?{_Gc
z70$r^HdKX>{!(qraVM}8{E~1_PlRSNOTm}GO>oenr|a~d_^X6s+H}3q`08+fH`)Dl
zPHW9fPdA$FgRQA@vwho4qg`pu-HEPzmrjP?)mka%+lfD>BI`l1EG|;csq(TTNcvGo
zIcLrcu}s#xTR){elXyM|W9d`k`D4gnk$C1Tqjb|KaxWtB+aWAi<`7q+O1*($Rq{M`ABRCJQJ
z^FC)!_+#hO^+g4k%+^8S_!I|w92B27lmAO&vb`yM_k2dG6h4zEw)Nc?-a5(+N1M2E
zqMi6U;A-tY{g8#b+7kN_8FtvhM0OAzU1UJ}H7eS(gz_^ANl+w|pN^H{{qo3efCA~v
ziwCUh8D+lUth}t6n2T0R1zWTxi1#H$_&~|u7eS4XS45C2#EbkYB;KHM$$W*Jzm+5~
z3{7Xl8!+M1th8sEby&sL*pDml$$4Xq>DlxAuxw;tYqLE&4ex?mTPA1{90toA47Q){
zSPr1`PDU@)s?B~YPnTw&D}Mp-nCrGsh0EbavVe25yiakx0(u@-}|sM@1LgN
zi{`_SRPW|h-7)^4_(A!U>8*y!QVsGHOeCx%l7~iANM!am%%_(?!V0G!p0N7Actr^-
zy7DBf1nNZnyh#dEpf~SZ(yJg$Xu_V3IoR!2{X~Z+t<<)Tqn5N%6fDW4l}7#il2)pL
zVRe<4v{D77+47`SdRy5K8SuXc4LCAs^<&k@VoqA6EZ~U=Gijxs5`&3(R?^B*!cJPL
zB9i%Q(mN*KPk4AJG6-%PTmw}LB&|x}oN?N7L%a$YQizaE6s*X2lmC~L`TKyZ?WS^2&dy&B+X~kJaNvj_UF95n3KEvU`
z9we<4b6{&>eKvtqRlQxCsKGe|34UJ)lU_CW!Vq9G4T_mr2+UdFhC^OVH8^mjHaVG$
zm1kPGOVg;&PfeYeEFU_ATO*CFm8w2u;qX&jDizkKD~SC+Z{W)5v8SPJmDq3MpCTIs
z*$+^ycna+%Q5iHWn?lQv(e#rkL>@!GrD&yzak>bhGJ`gSl?Elr=%s@hv^}ZPz!Lp7
z$jOe;9@*xs9kitd@yH5LuT}zkj4l1-dNyn>(Q7l17_)ZA9P)Du4O!&Vo(+`<%sbyF
z$EUiuA&}YLgK;Xld(s-HrA?=QvXSYAXVSR+vy2vxqE_UE3*t?67SXDBQ(YQ^(l;|6
zeILe)w^n9p^BDRuR4&TEfW$C_@Zx5%v*Q%XV6)~NAMDAm!
zuJB!QXjOQ?R=Ey)zMoDT;pseEaH-=E>0+RpZW-T7l;IIAu%8^xX_3(BgGC1Lz#Xr~
zAv|!$YZl2Ml!mhRpb3=NU*MnlIKGuoS;~5zj!*4w6dpkRR#cM9`(zOkrOW$UtQ7C^
zqH;w_#njAMw3-@Nr)W*!_E(DVfs#}AL5;}d6!I(58GJON)i`IcgpyOgw3yHChWTG+
zF**?`spHNlU}#LFq_EecnUb(TX;@vT3Vc
zEf;di@lc1@b4rCMl+UHf4egq
zs)NqU7R3v#x@`D~q}5+3ceg%YkJJeo2t-U`FqSP&EV}WX4J)xSkhTTnf<%%OqBH
zCI3b{(jzliTyH6Zbv4{ZpOu@z+PS?9Us>OpY@MFnNDkT1So5R_ga|935HRGE&{oK1Om#C}61Welc2>dRz8HwYF~7Vc*9MOx2g->A-3RfK3`koU
z-y*b~(xrHA*tY!#TwhBSr}?T0t#Cc%kJ*oqjuQK!AV(UFsc-t6CdRUerJ=EQzKgp1
z^;vfWexwfRK(kzL;i(11QS1{VTtigHCcI^Gz*2Z2ggX?~!EpAF{+`3$(;mSsKv5k9
zdrMX=OHtjh7rP4Cr^IP^F#k!agU&k^9qje0qU(hIhx_za<_-M?lz*Vf=uwI#Ztxq0
zGgH2@E!f^sSUlVirThL9SJEM5;MV{Qsh9AJa3DuuPlBe=>3#tw5Y9Q8bB-56$wgr2
zW)T=al5)JF`Lbwub%W?vnym@1&eGtOw-*yTm9asNolbL9v4GK-)xBx|#emU4XltIp
zXbP$p2S)p#76(QsR1S=sW7bg5(sDwiny4ZncPru0v!I-SL;La4hC?@QgJW|>d8P>V
z$UBrH!F3WuNU(Dg-ot=Z8v&a5QZ}5T1Bdi967!Qx>D&MP>p(eB_5vJPi9JsYP@0XY
zw=RIS1O=~2alXjw;9)qSseN#Jt-fbEaxYz!S5H5Xbf8x#Y(yi~LS&K=QraOzwmph|
zy|dwZV;uIsqOKF4oG)gsHK^nM)wrirl;-$%1obm=ciUT3Bc1mw9qgpDR^TWj|8BGu^-tB1LRa|61QwwJAL$)0Slzu^Bf9OZ->2NZL{q-=so+5UFbPr<6{p=FR
zR3LWFMS?|dM25!XOgG$sb0BP5nwY86HYeJ_q-+3Q420KBRq`jYw6Y1d1;_(LvKjvX
zIdYE5Mu6{-w36KO3
zi}6mS?r%l7==J!MR@*_1a|rx?!s
z*JuiLSHhkR)m$rTwB#0qolzd;+t9oXFm(VZ?ebgs<)mFAR|_da&@0HdM&<`CigswxmAwm!QCL4{LrK>mn}R%NZOr
zpGy3Dw9ZGGCRV}!HYw`pDnlJD0}1Npy-jQTp$eRd(~kWZwT{)(6wAd$Q!JuWD~nQO
zUF&q6k`XlsiWjZVTCGyO@vMmYtz0b40Xu-*{y88rBeG33(s|Y5%ZMmOP?%>VJ&qMi
zfZoqy$T(93j_E+zejM{r2pk{cQUQN#m{M#TG`kc=(9_tE_CZi=$e?L-xwx9c8AY+l
zpSLPBkmyB`$u5zBtW@r@vc}|5liyctvFn>~^HC#10E0rH2k8
z2i)+mxOJWw-%1&ueNieRC{zG43@Bezgmn_VyZ|dHHGwHN{EpPQ2q=YGqzZtMAe?np
z0gpa{8~Kz%#1>a-(21=9s`Bb0<0UZqDyWfzQzZUCzC_}W=Tg!9xS${yeSeYRNpZdx
zE5(abo#o?*j3M}=$4WLdV|_lFDjk3pjAePpI`nKpx9N5-42WpMR*8KE9^{CWME}YB
za#Hlj!$P7Dqe$^ih;#zdv4txMY$si|5@{COv9AHSodER2=N#M}Hwae*J?W}H;O;8E
zCIsIboX65y3hy3Y6yB+By8w8PG-h|zBCUlv7r@r2GIAY6yJH&8BZ2u{L%oNqMmm4E
z_@JJ~j4aqolYizx4%&TVJtn;mj)?y-8G4c8Md78aEl@S&G$ig6JG{@2EG}SbDkOFu
z(s&eLsu`)Iaxu5zq8q)J@6b7xDW$lk<*R(
zZ8H5$R=Yv9m5URvCp!H_y8v|TEzq`(=gRn-7AM5Z9}>?gW@Q#9Y+m^mCmiKASSt;%
zH~~BiEKQtkRTy%pPl?$*1tA@w&==&e7(KGchNB5YqR@6ks{(~e%a{HvNV0rIRr+IP
zkq#7kH_#A5q4=Dm(0|1%LZNik9~62epY!%~mt%a~{6OfQW)~Q=B+MfIm-*EH3b8DkF9(
z(s&f`=R=)J?9Y>?Bxm5~ufSdO34U%vz6$usIYsE`KcUAc__@vtKld~(^choBnJe3a
zVk@!h@K2%LGmG0MiMvk{gL3YW=`r>kEy6&FJr81~L18-i*z4udpI#B29frb$3#OEA!ehIG#b<$N3bp|;qL9u*09mrE>EtnN^
zk4E{1qVAiDI=Zr{>%q||+tRm7)$8s>Pe_^X`_g84^mBxOG^iUKl#hxCnVy4*DeN3^_50maof^-L8
zA-EW-76@@JiYzWd949Xp_7IgJpxB#EPwC6VGd}_o?qxh94^csSWH7_EnBewLgvZF;
z^s&zW3a*g1X6V8X<*Av$?^KG(S!Nw?h$N^TiQtoL3cwUL=?And(T?kn%=kA
zYr8YZ%~7)j9ln~9*AXiFKTtJ&rziG2lPc8Wz!U|^U)#-$7l9hBdk-#Z_fLw4N)VdX
zP*?H1l9xj{@q%s*FKOLJJFnzQ_Y1l*^tNBlRT(>R(loxFtG1)`q%Gwl*&iXjun$F$
zEzzxCYs8orzwlB?^#5q*cNbxw4AS3)l?KIhogbv1hm#wBiv?az;Zb@$DUZTVrZSwv
z+nR-M^4y+aA+9U-iz|5(<;M$+K}6>tg-V|293Oc-C`8)e4_)g*`wz(QoUaSPZ>6mi
zpMTYAH>j#IKEI#n^cU5=U%`z&>}$}r9-o_TQ2DzOQ_RZ5=Qgi=@wubi!?*dAK(Vdk
zF9W7;w`m4|`h>wvA5IR-VI~e)tN@{o=Xg;0YRWq!S{1RlG;Qgv=Dmx1zc>$}z)o%l
zica{^3saSLwJ{E-aBf!)+r^~Sw`#*NU^Js-su79d8&iXn-*(8YU)Nd
zxLa%J4u_h?J>?9@hhD3O>{|DUTt`d!#-4=jW!I|)QdJ|TZiaN3r$%6BKLwYl-!jKj
z4vr@nd9<1UYh&wEU)aoCBZN2bUJNUzT#a@B6>rUWAnr-oFJa4GPzo5APqH`pRS&
zFg*c$>(h-W{89J@H$TM5^SNW)OUj*XY1`J6{8xoWCP4rDp^^vmvQm|{`}?Atu@fqh3g`&*t_g-~vw
zlV28`gxyCz_b2adf77zkqSX6wa=8X}p3h*xtU;4Em$#SJj`etR2j)l1I01csq
zIDF0*;vR7}T+u=tUD-=rjNp2=ZFK2>3n1b}Z6tMs4~RU8!Mg++!*
zdvTr*H9{e?1_6*Akr1FoMe}#h6?_HtZAFGBrTAv76fZ>uVvSWoo|<#x+7Crj)dg71
zzJhuSbn8T`cf*4mk&@`&lV47zevyZTL>~rn0{uzbmu@XwNxXt89kvpw1O0sl$PJ-C
ze9qC|kMN4nA6@ka{q37BH(Qm1V~r`esI?mP$Tv|Pvug?iubC$dv}x%A4?fC4;E3J+
zFdudq&h~S@FL1J5K`t3(A1HrFdC!4$VAtN=$dRCNrD~+}_C*UCvmA1yXHz!2(zEtc
zGd*iP#q_Lp%Vhi6ies*Hb1*$S2vtLl$x6?j5m{WMXH!wKha-(g0S})OV-S8|oQ@y^
zjF-WP`UH%xK{kuG4mjfom>q{ajCtwxR^xl!TyN0H>7Ul7lNj4@RL7y(;YwX)M&WQq
zILRDtPr^=`qbBZ65h@vW{{?u{xoo+=;FNj>GOT
z2zUvjAI@R57M`I&L}K*Oh*kwgmwrI{x**9iLo4SFWuFd={#KwNgwgRi$LL?dE5hh>
z)gO$$hl8xi#-Z9+d9oJ({i?12x*((rbbh`cjL1<+FXja1Cm0-&j?TKP?0~%8k3mwp
zcQRc>BqaZVYNYd)MGnc8kg|9@oe*eq+=gY^XR57d1{OD;f$K_dn7m%IKE&%F4qpLP
z3*hi&k;MfLPvyssK^l(&4nI3r_5C0`B|ihgzYCh#ClI~`c`QIU=Nh4~e-*Zno1Ly2
zAYACBhGO`c*F8kw3)i7idv+PBQ;A)If4qUeD;vIa{0K??abkcV^}b{8y+xQQvG;XY
zX;7H=qQ%~oLPHbSy9|{)*c%_|de<%Xe!A73Ia^wKEV1_yqR(Hn8|?kt(6)}fFUH?4
z?5&uT!QM8HeAwGjE*eNHhfoN6+dT$>EMf1b<*-`A-e?e!*!xKltqSZd{Xik?EvF1+
zpAPK(yFfz-d*gGCy+49iguUsiKiGRON176i_5ytG=n8yGO1ePboBR+&wmvK`obdZZ
zlPMB^+qac55CH!N5SQ+vOg|9`!0%Iybl$qi0l4I#>wujUIQI#G|48wva3=iwP_+O8
z|88V)fxuG%vhN^`M*)Ga%U6Ft1W)PDK=6BDJbi-T4?8D?;GAs)#=e9cjLCyf84!G`
z3}74nhuMUF;_wCTRk<6s0oVm#d_Ddt1jd(;Pay?J#0VDxjX$mkHzgW>3|1NxroL#=
z_;rPbCeZj!sN_N8_()g0ZqfLt)t)(ZdeHbmqR(Hn8#F!+ZR=?KEd1?4*?X8h<-p
z5gMnf{-E(|57XC(w~fahnC_VB(`_nGm?scdM0A0{*E=W^AHK!Wd5^G^XQq#dN;T4X!=eS;nn1GI?(}eU^R+9XKa_yug|2X<22!?1T+KLy4`$KZPLd(y&tE^J+1;g+Q-K5k^Y%I*649
zg)!x$SN&-9anI4}bFv0nt`5VwQJ5m
z9^85j(djSR4Q|~9ZR@yo75;YNR>iCgZnb&k!>x{TuA|k*iyf_=Ri6^Gd&Bwl?)M5_X?O3N>VSEXB47U{sN2Z4qVUd87euf7bg2(QvrfAH#ceCngG`}QJr
zJl_*PG%~uttQ-88m5qI**f*hAf{j8*FG$=RelJzc4fLksQ3t+3-7nk-Kq
zDbKc4_03h1`brIz+~e{E17{Z4OyBulN_l+8|CqF>c2s4RMf8QO|*?$G(X*#
z=B1~bjj>9rg*9qzxpDh{`62nCoH6?;>QagQM5vUUu1$Yz;W${IUd%^)=mss$QhYGA
zn7;36S$%G3YO`1=j-@~`iHb4aO(bgtICj5jY`b!Ek7nXJ%`O&OoHYR8Iv3v(W;0^q!*A*
zE=aQ6O)e)}Wu1ESG#-V>B*{~8|9+K}`b=nYCyb^~p~>fw#UeD}Ory}`MaaL1
z(4_Oh8@zD|nY0K@2Jjqqbxc`PoR3;=wPvO&7)_Mh$vXHN;W`Qe*6nGo6ED=^LDxyS
zSxLq#6SX=7BBQhLMrXCsthEsX)5)SE13RatCo5ABvheukAhZPT5+f7tHt2(S5RULh
z;J~zM`Eae#l<`F8Z+bR}2kv+^bpF5{uc6-I7k(M%H48Hsrl5h#{rA_ALZzKFn4ZrFnN7!il8FXZ$Kc|DL4Vu+CK$L42Ggft;JwIU
z5e#si5zcBM`(lED4SpPr!?nI18(CTzGW%Pkqr^TY$dRtzv}G5pUA%|*^Y~=DuvX&s
zhf{9%9o61ngq0H2-iwt6g;C|BT0O^&<8*^sd}0F;@apy_Yj8f0=^xjQzwZ|skifLx
zg-RYwi;whqBNx;1j5e1ipOv&bN|g!G9y@Hd9n@oqXn#$#`ipjhXqN*)I->n+=*x*{
z6~i)!*5;QF(K^bxa@@$r0HDq0xLs;gVs>vqa7cLeUvk*2;aN0?NId(+h*kxjm0mzP
zxgg0B&q_zFtkZ#K9|l4W;aPmn@$62#B0Ni1)m6tFb0^LYpCN-N_2x|LUEBj+S)T04
zaVgun%5WnUU7%U#!EM_3ykK@9EhL?re#>+lqaYUDC7He;63RYJHPU(GBF}7dp)3HB
zomD(3jAUn^Y5^pBTV!#8WK&_WX{7NeAlWnhd2N!97s#fxXMpTYFqS?6+1Db21(4+|
zBWU$hQ|Xb6$`_5Bg83j8YVUwXG7$r8Ux|E%oNfnR?O
zG=%UgKIi!Lf{hZt(p7)(>mC8!=v3}XFEX<8J@L;Vqze=~6qxG8D7`@T1d9kB0b6%X
zAMzxSlJ1>M#}El;uU3sL;?w>t-Yfv3Ei1MZMzl9W)dGn2rpV#~(WdfZHzJKk0ns{7
z_cKN01+^*p8Bn_ohSMid`+VfF0JWTJgtV?i2F8Hep&PuQmfN+3Yop66gJv&BT1xCL
zL6UU-rcJw`?czOK&r}Jq5Ba4j&-;#U-&TZ~65YNTD-8>O+(rw)BIM<~44~c(RwekNDSp$WV(S$b
zv@XpciX`Cso*Y(dz!z;K68OF$qE!KWrE8GBFG#WkzS4&)lXU>!Zvzb>;ET^W@IB)^
z34H0QKfrgdbd2>@yIgPg0{PDOxIL4SE}-vl2>Oa~da>_`HW?iJ+P6)2av_LHS8&ru
zM55mj)yN_~YR~4*0>Iy$iZ6xX?+&P10RC=^EH2=0Dlqm0r12=gU+2+!mW;gkH>E#=
ze>cK-`hd`0+0{ZVLd%S5QXHo`KYq*l!7<6S_LS{?hrll_!c7T*UyPLog@NTm;LCIf%+0Ds*oRbqCZK`=@9_m6Uzt>IrZkVyRd!iZJ{
z{*`_~dcGjZ68}mcuI$x;e?Jd2gzzsu=lFNo`4a!qRe$iWINiLa+zS*-3M1Uj
zP_+QU-56P1Aly_|Y#3=g3J5oFz#WRm3vN@=GvM|V7)qbO?NgAy0^D+r5x6}KnHK|Y
z{RiB^U@cr5RaO}=s~`;}HYP}sj@`6j7o=V62i$QhB|hJh^11J5_Vyx-lxTJaD-8-`
z%15)>0e3J;Cy<5vJ;1OpE;JZ{Vef=W9t?|*^qC?T!_t9vBuPF8sozS03Aw((YB#98
z61l#X==2xu2D!co+SZZlLHzAPu8LV1=Y~@SKwg)w4QB2-64nil$hO9
z5d0BdeO?ZWHN1)@5Q$ft5v>ZmDlK2SwIIn7uS&P9EYg8j-wQN^@G3s%c=fw@MH_AD
zsy}#Dwfqu60@?P41ew0rW-kSlj)vJ-w+98
z{|n^JecYnY*QVTA05p3>kh#H+5k3^E7C^J7L>3olHWe5<8EHHUXf}|qRWkBI+LZnb
zr2PfxVxJ)G706@(X*t^nYW+%Rf9}@^{pnXZVhh*CS5QXHu0wg2*tPfvaJHNUOuKf0
z+r^%*l{|uv8WG!{C`PytM>yY7gqsrK-i(z7g@NTGTrFQKhw6m6@?j6K?o6R!39Ne?
zRPtb5e55N~F4m>gtQ?S>u*{oEvkCRS(CQ(m))MtTpD6Yh?FRLBplu!XUW30~s8_Kq
zgL-YQ`B1N;oFiW=xfy`InS8CRW2;n&*?k7VB;ntB4zo4QFE0u3Sji_ba!y$7!d|I$@|@b8m&ZgR(My-3$y(ba2aJ8tU&^M-)H
zZGN=7S`J^jjr4};GQJ1G(4CU$2O<&fzoUA2hPHLAx&?o`u&QEJ2CLef@?lj+Is33K$k6V%Er3!JJ3+f6qdFyK
z_Y(wrgimkCVX%fzQTZeB>Gp_L1wNHFUkIN{Z>((5flr?gG=%UeKIi!KZoDFVN>_cw
zr`PmkCvA85^qO{m@F|SVyO}`1QS6#KiS&l)CcX&5(4CKI`;qwc?^Gj;9-ksd766}q
zS8=59PJ(}iss-@rHzSJ+e42`ieFJG+T=*2E#f
z)29%X{-WLB)8B-)b$t3T{O!W0id7kWYIDkmPaWkP`1G1~5qz3eof5PA$;YRc=P+2q
zr>Ojq`1HJpRs}wlHeU#zN^h)e(Sc7JKtl+h;&YBqUyoOWPwA>Z_*Cq7y{5gR7YWqv
z_PYWRT_DuJepeiw7ov*&uGBflsM;OVSG*r2qI)3I0Yrk-_ozk|{eD;C$pWC%dlX9w
zqtwqq)dDE>Q<235N=;?OK8Z9Q1(X`t?~3B_!qk-X3`~7D45d#n^=HUmu{nTqj1bhH
zBlBWls(%kF4A#n{MwL|t%vNjx8cOUq{8I?1F82Md+)9bh$B4l#1X6u?5k^X+`cSMi
zD2yo|scQROVU!-Ix}yhJb#tM?2&}phDtWLfKGL-;7pv0#R+1#2gVb-Oz=T$}TkV=N
zkO!?^L3H|yc7s;0g0^+E`fIRsCt6j^%Ai%7S3b1rDCgMk3Oo$J)y#fZC~m7yiP=5n
zSgheyG=WIGdTKA&o}?sRq{jK{{Tbno^zts;`2P^a-eb9oZ{@DrXo0s6RyB
z#Q;@*l5|&mJ~b_>jF){MDJZdj6@*BCZrZOk(ZiD7;L@;AV)A!VCinfVtYaP(@`Dy1
zB})BIBydm|Qa(!6*86w4^QpUfkxzYSp`i$jdJ0tXU{rjhPZ7Bol@h4w)FXc?-6e#2
zp4Dnlapijd5K-wb+6_Y81a0dG_1hp^Cqh-M${
z(-U(Ttl?8s{z!cKODgIY8@4L&skC|N&w?b&{ixC#D_eBn(<@+PA$*F@IX=A&uLz&g
zRe$iQ$fxdF4Ea12=To_r5}&`2^11Iw
z^*covDUs?wW2Hf1O!-Jv%csI9o%vL_ZzsgSix>T1*MAlojKHeDfJz>$ijVY}A{VPt
z{*)xCr(R&T8`NHjR!@RTAs^WdT73w#t)tb?!@!+rRWU1rR&8GS(5j=H
zBcBR9E0Rxjs85O6Jq5uZ?N9x8QiZTIDsX%-I3P5ENWA($M5_X?O3RmSEl9G&tI{ni
zi*(@CArNo~ui|r#S8u{A!mD)EAG|6))OFp=WKS}x-F>JFsptZ+20qk9a^`8q3M_|`)LM0D&#Yg&tk&9jFyIfqDd@@RJC@m)R`b(?jpbAU$`ZJ=`U$h(a
z`XA7?j$Yr3zg>G*6}vL%)#jEDy*kR-Z}h{vRmjBve9e5Q%cVjkX7?2YgM?rIF^9=o
zz7-8262E>rqE&%krTt6q79?5XSLvUXT{`gVNf(CkD?aD=bsJt0ex<9v;@92fsh)hL
zt2_LPRP+bG()jZ5EAQUGuXM|F8ovQz(cO{h2_o_94XTkvk6$@g768BArg%~qzfM8b
z0{FESSzO@PR9LKvG%hauO7ijI*Oc}Qetj~GrBC?v_mRN@zjBrlsM?R*>khx-Xru9~
zURW71doxl|Vs8}0NDpt?@lwRE!cvLVuS;3ocl`RkBAk@?^)Io~pfIRH_!Wog#IN|E
z2l(}Kg@z;W>!+ZS2fyMYeZq*tuUwcKex(~qiwVCzV6_}nVToVAPL%qKc7tEP1#Rp2
z^|kohgU9;z0=yHAcRF7R$DG`1IMJPLUC+&I=pCQHh6N
zgOvt_!R6!O9hl5WhVcX`T{XP8SWb>Tz{h`CXm|o2zZ)uf@G(BpCz@P*e6l@iIjLnI
zC~YUa{AsJFpsGu}{0XAmU$h&%{8?yQ$IH*h-!8nY*q6b}HurpZ*->u9IvWe}y}B+1
zaI<}4?2um1RUBZQWzCq22~57;>Sl87pORu7JD4hcob0a
zSvl(Mhr=oH8901445m+T_z-efz+uia!eZ-@eKBx&gC7o~K3X_9va~W}HiLAOSWA#2
zUA<|`E&#k#td+PuopQVH$oBH0=vFZ-gKlkp`OvMS+>is^A|C^=cD+?)Xtzs^O3dyp2o4F)z9NUs8lFXSh{UtM
z6Va-`v(gJlCl@4H;#ujam32Ds>?eSR5T3>79MAp&uV_C5UG)dgiucEM&rJ0q4cy&%
zTtGw@ST=AT7mm)0WX1bq)Vc5&0^0&PrpGw-F{U>%-9RLYJyA8X=-(eBo-6={-Kbbn
z7{hLWss%9Y*^$KshD~L~5~T4cVA#O>V<;Z)MuwF141!$)L+KNO-GlrU2$pkTWBx>w>}#xd2lN}Dui3<{V|dxpM%tIrND$)|G;WD
zsJ#-i{yx#^FWL=eeKoYLW7enOZx?1&%*tR^n^!)}>L}-Ue++mSK&+YbxS+VLJ|$-N
z6a;^SSD%@~VhyjN2}I&m7SXD}tJ3nNTMLpb@v3yo$|4Sj6|NJYY5}~uCbGD|tEsHmYNT;-;Z+om7q6zIXYlHeKm+@PS1(5X3cSiWMmXvx
zLg(RJ(;qK8=9rDoo_ogJaCHSt!C-O2)m!C_jvs@R#q7>+kpZsu`BTpKxgUL
zO&eZ{c$Hfz@%ag2a0_vM?2SbjDe>y{SZPogQz5(xqjcg`xNidv)G5}0x674UEl2M!
zm(}5;ME#b^59i`q-$Ajo|W(^Nm9eB_}irOcdT}U+AHzuvxrWA(QfeS
zbD(V(_U3gV7D}z^UUit8AW}EDn93U^;397c$KdDidXlyn@1n70ulYet2nwm
zyh@!LcopxM-r@m}i0*|<7Z8b8|4}uv=O(g3fX
zkAMDK;Z<&>#OGl#xP`#0Pbk7jiB~VfN`u0f3gJ~4r4z5h{T|@e>kAD=;MFHXB@bT3
zN4l29;Z>5PhF9^oQeeW>%xc%1fvjjt;?+Y$r@v@7cy$um*752P{&wM2#jFfowRz>k
ztB!IGyb3%kf>#~tQ(|^cLGVX-b$1SnHN1)@5Q$f}MzkvMsda`L@G6Wh7q4RHCSHX*rnmSsNJRHSrVEI~s~=a5
zEPlL-JXrv|`c1`>!g%#-P_+PF{YqqUfmc&mvHOw6MTS>FJYKw-lAghTnT8O1!!O
zD-8-`Du!2QM%{RIX0!)*^|C^P5qS0SP|1T=@sX}&k$4p)spD1ntrVE>>OQMoa|ZI@
z)jdR~zi2mj^#HW3Xb(C}A)tS*kcr~j&C1&@Ok5?a?!(t7u
zq6tLe)pZfA3cM;UzYt!PZdqBR1Fs$e8bWv#pL4wWD!d}RN>}~CtKvM_>-YBtuy%JI
z7gEs$Vhx-pOXKrGR&jVN@1FY${g&x6{tU#TyCTyMM1t0LsYVw4d0d<;3xHZbrFc>p
zwf-$sEr41-5?NfJ)>K&R!${*%K&^rEWJx|=*qYLwfvsaiTz3tBR#xn$JW#jNtD5*VyVRHpQo(u`%c!AA0P6F
z7AGZgJpn5X3WLf=uG)FBr~*#tiVu2#T{jdOj=-*GLnRM(#Yg&tk&9jF_*gP)`O!#x
zDT{6>EhhB3)oMAY!ZO=>F;VI-+6{WW6x!C&>(4+7o#<7uD}!EbZu!uwqnzVBE@WB&
zzGlvob*WH^*?r~X*E4gNtl?KQgh>245Yei@uhRadcMFm%_XkM-tnAW(U-tkFA^eKZ
zIevXMUJ-t!tN!5EJ^Wpx>+9v_?4IdfO=uSNEaw}$p6x{9Hke?o?vi8#=h2F
z(}(;4NJ;ljrelbNv#(H%bl$SaPZm%DS^z}*ZpD_ui1tsQY5_$1_Q>J_(WdfZZ$lc7
z0-`-TSIzyo*p&PXsC^j>r%#~v%gAE^YB|>kY2Aeki~+Sn-qQtyPFlD&y1X)I_RmO5
ziT#rxNjiVirY%55(01uqE%E#tDbM?kZhu~cnG)Up6e|r1T**4z#T!-LHedok&+PErWDzp81fjqufU8-~c#DOXy7i?ApoQAyLIvrxLS!41!16
zU$8QV)f(PK(}={oKc=F70b;8H?@Es#6*@?=#JkdUD@%3Y-HTylA-s#vIo_?|72#dF
z3gX=;@_urrG%9xbS#XK7v{`YOJqQmvE5;_vt=3#c_w1~)3dq67oVvq`I=Zr{t6nWR
zSG`GYqX)~wWawG=?#9`0u^#?yfPX{qZ{y8#omG{3yIHHW=J1`4Pjs$GXY_rQ7JSH~
zl?)SMNv)pbgX)cQok!=F8p(8GLTwlaEk<@;vB+?!UVE4WJ-F;ZbEdM9TvP61zxH4c9Y6SVicI;UiGR}$=aVv_fP
z9P-XU@*d$Kj~x#Wd=#FgQ}}pkH-&A9n*rOPw{~i_HBsz*z1RsxG076^uE~yjg6s&s
zBKbL}3L6$K)hSqZnd}v=%$~j;?&*opjBSnV61WNM7Cl|3_p}_{lkANDF#G#{xWAk1
z{yL|%W~Qeb&Gy08RJqx{ZKlzNDd$d{`*-PNm@}ipFR*iX@lSF77=k=qO2~AlE@7UM
zDJnsK-Lp0z!RAxTla%MNh?qx-Q(`JcP>0=t`(3)bzQ~CCk;a
zgcMOlK)egCDSesT)bpTTFLP7XmFz(nIMIU`=?f6Y
z@QIm{BzFo&3vMI)680I}%dJXlYqE8Eb}K==t+zBrS!Jw!3%417eyc>0bnZxR!9;MU
zr9?*f-#OLOFk7j;v&-hN4ZiteCGS4%jB)_4usSil=P)}3TI(D;Jv-M~Jw3abV^sso
zpi!>iAEEv|Xe*RnHN~qZ3fSwQYG)NH(d={ul!ABESqpbSSte^^wf5YdRNzRtS)aR;
zt%okzbD5|+*_cRDBTOi^DYwBMM+Ual
zXZ1(5c4exS9I4jEst_HG*T%~2N>Z-NNJ%eRZdQ`XTB}_dPa1VBlfkV}tJN;o$0{QO
zJEo@FvsAp5w%e|j+eD^DTdl>(8-k-u}&n+e+-p833Gg;r%j9*lS3Hx
z1C4>5<;Wqa$oz*%;o3{h7K64YQ{=0mQg9wbv^3tB0$)AH=T^r&M-w6YA&vU^X1(Qq`d?5P$IIA=a16`dTD)m?+l$AJz?F4MKikA4nnI%xz1tvU9ek>H9Hf;x1v8m{3G+nx>v=R2i&dn
zsVT;Bx>HBqLzu4Pi4p+0)!9N?Cfw=_RPwl0eAHXF`VyIq*1_)K1SvQlg*oxJ&+1&0`x?TIa8r16=PFXWV(s|
zvpwtdi)k`ZxWn{@;v0FvUlmdc;RSz2!}bXrpX!bf%00|8m~`Uz7XiW8EwZ<3P^vR<
zi{uGU8bN=)(VlvlNt)kHqU7ENy%@cVNCeixp^t$im4M=@ao4D8r{wG8U7@8;nQ-h{Cf
z52z^PQiBW##AB%YDHs4V0E93B76Le8be5jpB0ZK%cD5#?
zjm9KlZCqTwvIm`On%tA-KzDXp%4%x;T5Y&8YFMK`aXy
zvVvobL1m`=o=66q2$iKy2~C#U7Cs(XT&$Bid9kqTr0)lc&4o0CE%%Cvz+zlF>9FU(
zqkgQDB0Y%kaGjKEFJGY&l;p0H?#!-}M!5ELX-Ul>(d(+ewwPpOi96f1b=7VNG1p-S
zE(g2jHv8E5wQAv>RsLt7!6G1bjTvz!i9i?7@M3M9bSZBcvpy6t?~
zg4!?Ec^B(+LLL~ZO@{}odxcq+*B27Tmkh`}a(r9FH0g+NU
zu`<#~yjW0()H%be&i=O_Q?fZfHRSXp7)CFV6QfCwHkrK?c`LvZ=N37oUC21v-jlP*
z%>ShiuuJRB$EdPO$=Dwu4JGz!L5g%ERye7>xgsX8C19Pz<5#6T?)w&zcNbxz+#>QW
ztTZT$DF1Co?W=Skd*_>uaNm9{4IrttjU)FfA0IC?7?D^1C{&`1+p)>8g=F!O4k!#b
z4)X_)Xe_sN=qn%EyrX_A<)vBYt5&-~&6Qg>?k76^MRo97bnC{~plyAP@s;?SPN5Sq
z6vwe8rkIsknX-8Wlf#PSfjjQ9-vn}$vtLw%w;O?nfj1j7U!`-X52sa^Ug|e}%K(3!
z!(s&VB4Ljvkb{|J!v38Rt%`)bw0!B(f+Wkg8l_8C7U@W_J_s~~-fG0>Jjc533b>-T
z8tKZ;v2yS>$Y-K?zdCp|$76e9Kk{MCnkg*3WZtlJkNs_rBB=CCiy(opU_6M2#9MgG
zcvWh(9J0iu=?&94Tmk~n)z-B5NJx6IYNYd;MGQ$n2rqx_?;S(`aX8jrXu40ar7$$z
z4OI(3(bMQ)-Z=kx58
z!F`9NuPVYr2}@srl?H_Y<-^ho&{y+AIQF=|<*}z1pYnKDp`i#+`VOe%0j2mzpC58T
z=}NBJa^8_YmEIC0{g~BiP-!J3{V-AKFWLL_Xew>PY~VFF&l5qVXy{BQTZbQ>0J@63P37tUiz{i$r6xCPpoXw
z0Z8u$8bW{+pL0Mu@B|4+=_&|FqsV)n$Xx?@YE9FuILzZG|CWS@Ax#r_;Ksuhb#!G@
zmmaf`_Ap#M)Y+(T>t?Y>U^DFz*qrXR+00*6gi}7mIUHIg@5X{eR4U6uJ8+^LsFte7
zbC*%w1kQXlc$T&Qe|y&+Tt{`@v5h3_Vac)$G028>Ft$uB$u=|ugWU*W;iqgQ8S0_*
z&egpu-MhXo?(Vg%yhu_?ac9#OxYKDnQvyj7Xw#v|KkZ~X!wf?b!nA3dG*gmHrb8!9
zhh|b5LPMK|r2T#8oIU%vyJvTGg^h>&p-*>r&+~hn^PTT}=Y0MH9m9pS&I|im*)~}X
zZ=+MV*e!}pCr21#2e5>haXbA>Y@i=Nj;%5WYx!EVd}+3D-4?CCHRNg%-o2)MEyvzS
z6aoTvY`1ZCt!*Wnw_y}VGV|3O-yI)Ty}6#Aso|Vlwsc~V{Iukr%Z(b2
z#hlJAaA!udSZ1D!M{CwG`C54{fu5B-$_&M
z`CK{;b{Tn+Gx8mhEyLCkVJhCmVGxf5`FQ2?vjy-72)IzsmWf^F;U=M()p-kNSaBiD
zVzr^=u!#ppKk!7oIM=|@%A$pRz5EyyXNXC0ez6BH8kIa8q{vN>ILLH-2Jf6Ysoi;C
z>cI5)QSHRZ+m9Za(C~L)YUY4;H&}qU=SJ)h_S714IF?Xw-3ceD9W$aG+GG{w^TVHx
z_Hqff+~uB=oO@={a*r`hIj%WE=LelZ$4AfCgY%jz}h{BW)B`eIjfCNozm_ZpPn9{nmu(ZQep=XUm?HTKeSlJp=VGGoKnwL
zn4f6Ru>;c+2a$gK_CrSx&7RW0Ba??_rw+`_Xp_gMp&XqUpPoH5aq{T+H27iq#POK}
zqnb7YT7z|Z5^)P17%o?F0uX~$wpen9k#}U@U7pHup2{wjr@Etf>bFi|5HLaeQeG=$
z&(HzwoQ}hmdCV<2jQBoT*KxEvThdODJm<8d#hhL-^`300io@N+L7=lc;DGep`FE#g
zf(33XSXOQC*x1>#XGa$*jnQg-VGN~E3Fg>-K3$NPfD$9
zlL|}D=%`L4nTDx;5`Vd`O$tJhov8P8K;%pUC9Pv~@5le_LYkN$>yJ*FXv
zylg|;;h_T+c47EDd&?9k$=2OmeUQ#h2x7pb0kJYs2oSb&Ry-Q3jd2*etuhkL*r*iCIOta_?F*
z#VXOLu5|Aua?}VhID{${&!obFvpI)MeC5;PG4^MH@_Yjtbi)>pu`5D5?aZ(dUnQ&a
zt-C;-NE4}yStJ4zrN&qitS4H<;3M6T@l*_g2@T?wfg(uigyMAevdIFG4o{hxG+yX!WL~Pu|_1SlL*GZaR{{e*4=u
zc)Pzmb^F9kE&a%(oWMO7U>V;;i&Naqv>s(A;(Ljt7QPSSD2nex(p@e1K8zV8;%rqa
z@OiM@cs~CzBe)v(K0a3#>0F)gWP(zKCnn8FF{+2-iTUvarHYMjXDW7-hb3-1zF_ak
zRm-(vNe@4O!<8Iil5pJ`x4W|fPhpC!Sdns66dEv0wKQ5`m=Xpur=(#vbnKhVmP`a2
zz|PP-+RPtA-5I-N3%KenpCzlYF{G-L(S**7r)44b0~g6!k
ze71uQ#$U2;{K?<9PpWHNf(?N;Bzo8h*bqL3IQaF8+&;H*1wYqnz
zd&U2Xw<{^-UR2klqMWEHE#+QP*SG}A@rI{Sd#qC>y3}#ed=e>T80!eozV-QCNTi6!_QDYCwubbfW9CHR>
z3pKfB5Bns=!swd-?uU#X`j^-@2)2Z`!(6~n)FoOD6t()r4jXr^beE)j1vqTn?RjVS
zoXElpgIsV-XY}yCl9*x>>a}UmyjXrqShrL=|)qs
zg+!*EHYY}rVExgP0gZJAa@-h$cp8qy`eheOs$Qp03OyjXSnv#V3qI~vtJcfR-ziKu
zq)H){?($h;jExWvqm^EUj^-)qnh=l&S=U0B?exi8Ui$*_$AJ>nEffOsN34a>NxcGM
znpy-Th@~h22}yTTjDUnQh$OnbwESTGU|Zsa<)bk~Xb~1=kUFrg;XcwyxVpjP3YVyO*W1HkGU%H~2Lfd|y=!^z@8(Zab<;8VF+@jW
zB!y)Da4qE46R^kl8Oly1ng7Ka5hZo>)k{948*D|b#6{Rg&@)(ylDXOB@>&dPh*<<@
z6SJh^Y-R0Em{dnMb<9}mOybT)N9UKk8*+XlkLIe*Z_sysLSo+?_{9zsvtPjz5(YC`
zwR@m=wBD$svap2&RP@>6sK7R?YY&Je9yP1dD9`EjOm#kE)w2|4sY*dq_w8ohk9iT^
z(<+vAxY>#)PnH6F@bgZv&uB~2P7Rk;&Q(p_8wb>X0(lkd5;xbe-;&?i5O+7|
zKqoZSP0K>;4_qu$9qT4r%=^rArU$7PiVi}J^VyO%MzupE_89}O3{UI~=TV>ilr2l5
zq&628ku`<6@B`|aR7NLJlh5e1Vz<*#{POqdyt<|(7@K$lq6f%;nNa7L@sYM0?#x`E
z!)SRqeRVp-AN+m#q`FTkNrr5Z;Un()&
zmyTk`)itRoCTj9gEWxJOed-#QKr`NuwrI9&n__3wy;D)Ho{n-4s%uhFPSli^a*wKO
zTmt2IL)xNTpLeYgHgI-{1kP|NpZ$a6XVslk5$>sUg!_WJCKcgCO+Lc$z{tXm8Wtt_
z1$BK(ARBK+O0vZ#7kioRy35GZqy8Duanx9UNJkZd4E?7N?=5HO@Kd=-<_hPbh`Oc$3&^$oO9+R|Whi$Y1(mFQOUh
z{#&#fsC(=8HwPwFdRG8Nj-j=WGHn)|A93+d`jDlEJ=&wkVBmUR9;}|#%2@;@_S$uv
zBeOVMEjS3FaKsqvGtqkWSWofJkQ?<`G8Hr0+>i=g!eF}%nId*W>66z86lQ4l$In#z
zX#Pr|Jik#XNKUcUa~o@4bW*QDIjwK(LkgCW
zgtpVBBrX;jP|p`sIONjZmBdf7Odm#Aw(EG*VFP_xx_nLc^T
zYga5j9w<-UJ|Pyr&Ds~8)GHRoEE1>K0sUPhPb3x+NiAX##8H%3grwWwCX2YD(r!r*
zhG6^R#pnJQ!lV?R{le_zN>Dj_4$6oWAG#Ju&s8gVlQ~=QeG7hHOQRAhFw%16xDGg$
zEr~fcn|ui!@v?a|uX)7gIoA77v7t}i^4b-fZwJa#w@--8ORRm-N!t;d@1X2NVk42%
zA~r!BMTt#Fx{-8zA!%)=%m|?f)*deu&&HrVrBK}NQO39_&lL|EJ;cmniEs2u$OXIV
z2KU^A3Py+>P>4v#7l}Y7EbH#{Gj}wHd4#1OnIcp#`m~(FvOQ3qx_v@ewzBp`Cv8Vq
zcA)G;!XlB>A}m21MF~qty6s81L{iyKoCN|BtTA3ddSg(XQa})L6IY9P+|EoZTZjLp
zwveA&XcUFtB}FsD5fAB3V)EO0cwTd{JXb9t#^=27HsKe=;V!t!b_;g^)oQrr2f<)S
zLIOw25*%8{q~b@RlikaZ6gs)kr&RJ1>$qtJN{ki*qK%N4`&kR4leQxnpG1Wh`9I+~m)KCnIh=c!m(2;0-F=b^$zpO#nHo(q&1
zEkPb(dzQ5@I%zw?_B_f?By18*Ey5PWQk1ZTq#I7m6t3hX&w~jnSZBN-d^!f%DFxwH
zv8Ujfq7EU#G&?ZB&I;ht(tKW=6=1T!ydEo12@UN3Re_TWP&UNYmJwM
zAElKAWs#2K^X3F=B;g)PChmmpq1`NLyyJ7%v~D%(73ujbpCww^I%hT&dkWX*yC_qP
zMc(83JU#BYDtKBqVFDBvzd#eM;J(iaO_1VHG~Gh0kpTl%5b~tt6X$##_C0nSj4bGVfcMdsJ;{gpFf|ZCi%gjo>oRu_dvBt-0Al~;*VvMoWZ=~s-
zv&r)j%9Na?Zg!8*bA}ofeDy&MR}NdA%VvC^oz=}{o)da#GxwT(S45cs8Hr>+
zLx1st^gFUKDN(T_K(!z$lyeswZ60CV6HQ&uXhUMV%%hESL`O)a^XMnZeLjDV`2Hi45!Ore+$QM6)
z)*SN7xSEziE$%@k)g+Tbs9R3@44~{peB8+zfdMG=LMZy`9lMZjlZ&MgOiQ%Hq{FNn
zEIVFKR>dHUSWj%MUdEEDH&(~op2!no?kjXo&oy{JD|T!wDI2vM3KN3W@?PSK&Ej_i
zP@RZ{#$zzj4hv19>_jZIk2NBSh3Ko2g@Ra?XbG@TFdbMZSav)M?TtZL3kxZWbXFce
zOFn?pn3!q+S2sZ1ujDutr8<~)T>7KCUT*%{hWW;KCy!f>*g2lNX$-v!{6TABelYD(
zVi$HWjr~#{O!L>`EtT*u&dog`E>6V^@;tjvHRRmfH*p1(9UWMRKJ(UnLbi_mYH8h8
zszDr^b6YoTjN`rMLUS2ji0_8A1{I3D`&`7!X(~erQ9vF=D4_vd;n;vH2QA{@=pmPy
zE$^iW8J{ER8#11ue~GUHp-@4el{r|bpp9tR(k_qJ?W^GFhh~R_3ToOL`M1^>L4nhP
zZgcF@ZJ&h8WUvCZGMV`BK)9gl7jc0uR3IalYro35_HQH)hMlwv3>(bB^Mdn+M^Ydm
zZuqE6FtCnLQ!c@lyNvT4&N$yr%Q(ijC{1{D_|b(@cp^-@?(~X!ZKDqj*QkjLy=oW6f(O#quEg~sG
zC3Zq`x`~`vnNGOHR=s%@*Jqh_x>9LI=`^d2dJdNKorKvHc7Lu>uS0*%i1$-=pYx_v
ztmw@td$p-s7WPQYrag%Gk+1?FLK?P2NbSz!V9wpyQUiC~Jk}KPqz0z!?gbXK3%5}q
ze>XN%`rtE%1uA}`Vq`=)8Wz^7(
z0~|S>I@NsG?k`s0osrQiIYc?EEHv%zhBZI(-Vw8i-<$j&Gdf+=lPO?Fs-)L}XKHHB
zYT5(1%fnwv2P>s%Zw`D36k!~NJlXxcT(=EQ?oIv=fz0+=>VpYH!40xjLZ6!Uno_p1
z&_Mi8U_6iKm3pOVuSYDmYCWIH>u~AHqZ(|Z0S}!Jp?P!@7%Ap6HAMX?p2M=n?$0)?
zYQ}wKuPlP8*5n)IT1GM+5X)ZRK!{$)eScKo0DA-MR!kzl`>JN@jeIq8u1qYo7C~=u
za|zZsZcfG}IV*F9$7-jtG6-r&ZZYVHXl0ip5QUv~A3B4Wr4@dC8n{Lz%g{x}X7j$L
zeI@-uCD=72BN-@6rR72L-g@?|d<2UQl2n0nDhpu5Qn6gLn#a~|xBF{)Ed!+Jki{HB
zSRcKa%cAWh9JWR=+DsA3uC|E4i4_*j4#7{ykkTA$+E-8x))3^#SUQ3!Lh_pSYP=u0
ze%DRFYkz${7pR8bxYcZPsv$24V%^hveYB`s^SrWZZmeLHOQ@{d%FaQW@>ZdFWVO8+
zyjjjjF_j(3U{?#Aa^7BRE@H3sT&93nt|f}++QcRgBKS4!KC=vG!p!{*$hQfEt!K~t
zF;lAMvI51M5jYm@0U5d60ox3f$bGs|LlylPoUEb+I`Hw}Jh-Tuql@p{0b(5u8D?Y7
zpRP~GEjsy3u?$u=sj>Xov=&i!LDwz3yCPSrW>07IGR&VDIFrU*u!ieX4
zTfr5c>@`Z8mk$&#?2e*|*|qsFS-Bpe=5DqhY}=Z_E&|QCk*?#d8l%B1%*=tX){``+
zLgjd|@O9&XRlwMT1YYg{_#S};$eJl6;CWda-e0j?ro
z4FD_>*f|KWo4|M10lY%s;0AzW1fC`EJb}!W06KvmybIt*1n#&B;1GeHs{sZGJW1d)
z1a8{|Fiv3oW`K+z`yJS
z_%{MCjsW}}fzOWu{3U@u90Pcqz(;ohJVcfEz#9a<^&WtKCh*+N0AD8Xr|$)LhQK4Y0Q^3IhxP*41Rg|ucjG*P!}|e_6WBxH
zeC0FWX3~1E2$m(jTxRz`ugW3NH73ob-J7eHN_?(@ZrwE@
z-am$c|2Lb{&<$$YI
zR8lRg%|TN+N{AbtbFm)yutCsn_O9Ll9r
z2Md2fi-OCUGm_nfP}Wn2rtTzNhSo|)dZ4BA<&|;UO15@2{+`+~WW2t@X%71W>smL?
zy#GV%2=O*W=MPh(^FPv})A&AeIG9|U0+R!m6efF*IGm8ojz46qMvhdB>BHoP6qsCp
zNnvtZYD`|&7A9A_n9M>EBfV8f_ut}?4>ksUfpm9WQkWc1jmiCOVY1W3Z(`os_%PMU47fKmmYM`l7sNS_=whYwN}4nxI8{yZ;V%3bMeaY#@NhMrQV*q
zV{Y9u=bk<{6t8NQ540LH&9TZ{d=S(atJWsRo0a<94Ri6~SiN1FYz>R&SF|c)?OLO*
z9XPaq@p3`=_IT-JtzMbiJ~LX52g>bsvo<=@
zh7sck52=l}a5O8%Cd;iB+=T08_3{+IS~)&5o%|RD@|u+itTPj@XqWe4(OmV2YN>iC
z_E;T^&)ZmSOjS0vrl6Z@<*bdn`51T3ZUk<%Hi}L*riMP;YysVmyyD=Q(duf>e967)
zk@9yuuzO~7sxdw@3DgmfjyG;4ym&N_w2_mvz4}NTc=bdWZ8ZYEu7Q82z`xVr-w=$X
zdOD3@J+EFp1E^T0KM)VJl3vU5aqF(u*g(P#*_b_~A#F^jr+G0t16p?d-pVc0%}T2U
z8Wr(D%Q0s?a**Q@#gjPeDQ8Ee>Se{)w^d``N)X~f@v>TdymE`C@!S|P1re_R-EG!L
z@rL51)8$%oEO!2o^-+m3E~$Rjb!p?b_JJR=Y7)E#qa>tdz-FZ5Xdj
zOw6E?Z77fL=MF5IZZ<|ID^sn3Esg2fW^G@!9Sv<+7oBzHqtA^tz@M|uiV~8>EBh;x
zjcM>-!%{&XIs_~8s7`?%+!U_!HE?!|sV-7$L2a1wkMG`71qA`=feKBbu1qv5m8jL2
zXdi%?VI-Pu%tT}5ItYIp6oO9!QLP=7>*E_ig}{7j6SD(wV+KsO8G#3nP<>jc#`xpX
z?N>#YZr#3h*QRaJ&Z{{c2sT+OwWu?)>_rdcr-do4_<=txHmo%V#QdOlf4?)Tk)p;5ST;H6GRK#Lg<18(fszD7*u;
z$;oK663w(K6El&d9~9zw#r0^F
zQ;+`qNnq?PkoV+xR4wnXfYFatYWqRjuKId}JFiAEVbVB0J{V-9+M!?e2r8La4O@a4klfhe@E8FoX!Tk-6&1pI
z%Ub}IAUKLI*o??`Yl3@+C}2Rh=f`yG=Hj#bwT7)O=A1~72MqvXmqKJXrU_35bO%BB
z2PJ!3H3)**GfhLl7g>D_jZQ-31T$j$g6)lZWqm{;6$E<~@w-*7*V?sPD;Hc+o@`at
zkq!(&??+G{y}sj}WiXBKO*CTcw_m4Abry
ztYVLV^pNdN<0bXEvMxE08an|hR!i(yst*D?iui!NV=Po|H<~)lOD>Q-!|LpK#~k{%pkj7c|M&Z(S>*Z4sKkV!NFNQ_rPa6L&AOZ5*pYkvmdFU;0gECDuu66aS9l8iO#
zZG9a!X8@X`-JYONoli4D<1@q3gksFkAS6KDX=}LVZ
zko4YLfVcYObA+o82v1f_)?mgiPil49&#_%xemFi}F8F6E{;#2eJwZacmimkjo}NVj
zIlFJ7yV+^bT_K-%HQa%G
zImDf{_T24M0g@VZxLgJKSRr!u6>JU2DZOJY
z1Hv+P959KiCi^B1gllJ#C;aP8V`G)+Hsq4)k+#Ypa@Ore1VEq$8M+E)1|eHeht;X}
z@W7_Y$;JUlDnj}O0Pco~Ny-ejX6x>@sDPvCMwZ&9(@WXmHQ{iB9(LM&(C&{
zXC+OTD%Z>VP@d%UZfQrl`Uu%3I@THB$D1Z
zKp4yra36>UI;eB0kUG&43jEI-c%so8xJI8*RHNDH_ync9b#JsP9+;?ACdc<$5u<<{
zuwqWd+T0{_FX~B}jkV}!V5f{iljULUmKqACM%Y%M%AUt8dt_VqkROkK_-qf4z{Dvi
zA8m}!rs&hA_+2XOj5ch5tZJ)`Nmm&jf>Trq4hf#9jNTPgQRMh18u%LxE2W5-8aiCe
z-Fv}lLzY$}Bi3SDF_UX|OeQ?V!vvaFTVNx#iQ3rQ^Vm^PpJq{ZH1Y(25W60)O6*!{
z3Sh&s=z-hrh!WUB+*YMqyTb-GjJQh;iV^6(+BeUZ*i|&fJAE)%VR=^LOCIKwsQ^+4;usk&5c;PUYbl+Lb?
zAg3T#5+G9mTS;)KCt5R8hvkH3t30_TN)%maFSub)%$YGrgRCEboL-xxs-soEIl6AP{o!9r#ombII53gC`?1i@d@=}3e=#RP0j4MZAo1{)INi03lsTvRd5fi=7kHB3V;;P#H7JxqHMYNr-8
zyrPv;=!y9%kg$gQ#w!AB;pN;GkYMo6$H$vG*P_I|bfGZ^GkvaQP)?e#nMj*7*$9kL
zX3h9?$Sz9V8e$h~_u@jc;yuK~e2*q(#rH$iWL9K*v_3g$+Dv$D5*ffucyW!ko|K!j
z(NuYQ8l8ij{6-O#0aB~CVaCBNap0oBanxXci&!HWk199M)Bvd=h!d-e>;|p#SW67b
z`A>Cksn@4G!)23DA$QvQXKEp9+Eb-hbaTv!c6PN{P&K4iH+r9*me_qB4kAJjQy?l#
z;1u|tfL8re;LN7_Y?RU{#9BCCV8DU9sg!O+H&tf&ZVK2Mvu_`S4drM8_9s9^5tYE~
zGd#d2pX9NTXdLtzXCI71X89BZ3b9DNE9GE+Kw*~H@9>Z2$a9SwLs02^j$B~hbL1hx
zi2N|98tQwlke&lU_%&4k7$8|lVW1v>cY)2FupzDu8)6fY@~dbZmd$x!i#P{`&*6pX
zZjwy5@HWW}B@3F%PW6n>?`%$@7P6d;D!r)FQ7XFQj++7Mn0?{4r%PP;bA#n*CE)hv%iUANICewJz0aS5d
ztkHz^_GwI8fUYHNKo>KWmIRW?eRMVuIYQzLvhElf?mb=L9iGy_o+{(gO-bD!iAEcZ
zNr}N8(qmA{$*xAlDzQEIXFd+@Si`~1Z}Up^zIca)Xos)n*;8;BSJzrK2!W!4`&cga
zFHP8+BGR3jJ6jZrRH5Q0OdvT_{j9tZKhZm)A*GOF3yTVUa<{a6QFS5rs|cSde=6aU
z$2<@$S-F=2wyUs~dMduNKX$CRghP8+eyjL#R7z>2u{ugjEi_$4HLBrVfo`>^ayN(#8&hClqAT!T{yXV`;C1A;y4ufM
zM;7fH>&V_k{(D@#%wrXqcb+}5T6-|&I4?}`m=-J~XzsyKRitiaCKm5^4J>b&|5Kc#
z&^;JmceS4<9?^a=@%-4;%RI!xJMT<9awg|{1YP1uaHj`|E?-*Eb`GWof^FwmSNnOw
z5$zko3D|?N#?{X}#KXHUC?0=xz6ZnYT<_JKtH_pQy`W~SQO|3WMSPNXKA$s}+!0{&
z{T3Se_Ld7)2lL>&F4z}wj`@;3$FP5gJ3$*Q*jJ%u^$+Z8*v{oBSH8tU%ty2oISt(*
z&V#w>8&FNoO`LuD){2v@trhUb)9`lK>aqut$t}qKPF0%0`z)>kT6A#9exh|956Ybt
znO(47Y4zES*c#tmag5^;D?2sn(C;DkM`$o~qs3DkE$E9}rqqp%7L)L3k&PC7ZRm;c
z6s--B5ZN)1dx)JQMGX_1EczLwk>a5acw$V-n>+*RiES6V@RD>@%Yt6E39}8fH3k;~
z9SVRi@z7$l^!CZVcd-me3m|g(?OuZlQL;Zr%1i7yVgNE+FhQlRLujeEaiQ8}
zdGuET`)qh>F-@*6zZ^L|C>Ei@7CP
z7F?%*d^Ciqgmst|+YLMa@m2Jlvq=KNnd>T$TK|BD1A4a0^cv_I#G>;1sS!wc9UKi=
z&XE@x?pO@=p!i6+I9{2WhWA}-EsZ1aN(T&ES`h!Cv>#e1vCn!aNBTaELMyRPc&h3i
zmHTYRMm5^WMiZbu)w9n*+xbi)|5;*+NlVr_d6bneRL>pfmcQakoKXQ7fNkj0V>T+{
zZlc8A<6#+c_g&a(iM@lWvUkHDbF$Zb>RBo#iH6VsNS`-Rf**ZsQmVFHxD{Jfl$wzl
z+N@fZZ`%1X6NOyFRG|4;%WH9pZpr>4dwPgPxw*>`{n
z*M7?kHIAU|e3l3`RxC-Wu_|$HEm5T>dc>~S6Z>j{?qRFN6#HNg6ALQ#V-y4!!qhG4
zwIi=DRz+bo1KvMzs&;T#c(rE$`BD^$y^9)gDmE|jE4H4gUP?cd}e7R(d2TlsI?Zs{q&U$6Wv3O>kh#zWUI*Xs8=Ge6g|vueLt1
z8_mH>9|?`t`ap^iIqL(Py!iy9ry+DsBhg+AcsPILE3QfY`%sfKKCPKIm5!4a_-9Ll
z%>X4N>-~?ah4_vAx=vv55e`U7CFYMx@s==w`F>qSr6KbbyQSEaLKO7FWcfE7E+9AO
z{uO!vcB>w%UXGlesgJd1Qg1Ua8Ic{smD%gh9KFU%rp?zB(fj-arj?v?dV&WujccM&&7^O|@_ZMj&oMj(P_M6~K!0rXW4yb9F_QM~icFI6Bua@L
z;-DfxHrYuLkfC8E31p7XJT9IODGmn+=Weg`d3Iz<1%w$s8AvUnv5lt0sRP!
zt(zH8o;9N+=(#9Rkp$%|q+HZTk((h&(9`7F^8{KPq>X4(ZQ_D;#0YRLw7SxLb}0}D
z=C&386j^`BEH
zs>B&rsM4WLAQb-tx82DV;DOs-VXA;)RD6o{Ooqyo81|z3h3uIIy<81EN!7zt
zKAERp1<#x_Wa+{Z?ZqCHZgwkz#}NhoEW!3q5)dydcqlou{=r
z9L0oo$xRRR-&Lf@a+U%+Ka1TLaLgt4serKw0pQrWEP&Nq0OX0Ju^RW(h)EDX2_RMo
z;)lqIa962&2!wwQF9R~sYnhZCvLfG!>&}6_0%!}*rWw5kIf*~|*+j+%O%P4&K+FGgWt`y`i|-Drw(>@F?B#Bc91zZ
zJ2Z2^d4XOqohw+au}gUh{hn!$yFr@SjxZ!sutT*FzoE}F1wugSL_q@C%-n!>-`MPx
z+y`gJf0%4#4mXz@aZWfMaD|XZbK4#btS%zXL`JNP;#!1=b3-BJ&fap93?&tCJ^_Z-
zqk!|p$ZrvFat>1bvkjRU5^$cH8E}$LTJdIJZKZPTuaJ%syGxKGeXg1I)76Q?%E5<>
z#S*t)k#M{B(dN6Mv%qNcok-W9uq=PH`M4z7B;h-QO)BX^ta+bj7&=b66Y4r+&5u$e
z&RCNdIZ&XvAiD}gzk4XgNJm7PU-neh!DP`L246*HXpv@`IU>?j
z%t=L>s>B&-s?xPq)CiF#aVjU!JlT3=ty5h90>U8l+1-SHX@^i^ANH^mxi7*TRC^my
zT20C|r?*knuEm+huMD=$W1wmQ+jIq!BFpV6Qkt6;XRgKW3&okI1dL4x0LRv40T?l*
zOz-Qlry4QY>ec{aMVz@AIT7w8HTRGmW@?p8x}NNzOLq+HXP}$~qD-yRApdZ+hZa5+
zm)LH9J!yH!%R++BwR;(4%IQ_2hx~^`kSP(660IZ1BnCT!Of~|%CjqeY@ahFHFm}GW
zx&W@aA5ep1^h4mVGq^mC8gT}fyvQ3|(rSbB!hCYlZz*La$U5wy83P;L^1;*h$?@29Oir7Z|HkG6nK%|IkCXfT+7V3&3I|(pv#qJ9Qm#_g}
z2AFpS5Gw@nQshLqAdV0jDQ*iprgQeUrK+0B@(vG;x|?8IpmKp=Gu3sF&v=W6B0fi#
z*qi+Iq%9(M3#me`Cy*hhoOUIw$bU$LoDv)x(FM_TptSl2nlS
zGtk2x1)1j{yG4-68AvhDFNEd;ZpuG0;FQe8OVmg!#0;yfte9Pl5-qXK_@@Al8GNW%
zE3x__F}elWCwmQw+p=EW7!hF$%(MsT8WdLLU%7m2vT})%cLtYO(1p-)(lZDh2VDqt
zouOrw8gYh}yvQ3`u0)i`{VoqIlN(BfDXe^^hhAj52rHlAsjB0}qG9E;kQLghWtuf2
ztW>N?g_Wwr8CI&&)2t8?RxOcFIYH$b>xs24Re_zZFa+HbyB1P@D1b;|l^=kr1*~#QYHw^*gD-2#mtW!Ar1ZrmII0{^_dHN*!Iw)^@wmB}
zwkvHZ%ZR(u9Lx@%LXH%e9ZKxu0qhn!f$Z+GP85uCe;7cl(2egQC&E2;;;yn+QIk4K
zaOBbsTAe?S=zfa54CpEl*Cu@id8^;~8AP7oH~xCk6CfiCNj=vO$$(Z)^o0Ui3B;6K
z9RV%zHz%OQavsp04PxT~EnW2{puIr^X^koP3T37HG3~By#DtBVjf
zkrI0{3TzQpQa2V<^6V%#8B8k5-2#K_QIvZ-a$H2YoQD*8ZAEs5ETyi^j&iwPT7hnG
zePz+?+XRSVc@x7So7?7mR6`N)8=iD(nY
z)@1<{j5aR}AXY@1=OHJ;9j4(VvI9<|n(0e+duY=g1p7WHXn~m1=r+hx?C?;-r{@ye
z=C3EiPUL7I@#k8<3_In7D-lKhLt-6OA|oYWN7zX$&IvoQoQIvyg@N&~ldgIbc8Yb>
z?d7Q+#GKt+M@0%d2sne+QHc}oXj3eja!SOmC?0^)Ez|B^4bsbYc_DG;t5gepzcRyF
zvH(Hm-;lAJ@IE)le2?P+Jsz-v%y$M>7eQtsBK8iH)*=L%!Rx3bqs+~^$w*QW=F4DY
zJ&G{Dg6tL%CTAc;J9i>4Ln6%VrBNKM6<&r_R#wb@fK-&&_XII=CNPyx*CjrA_5V7m
zuvTLAcM?|jKCt{fbQTy`K8SP;3aj!5mfAWhj?NiXVu2kSfEOP!zpv(f5&h`H@&}>g
zpl`z{oFV1m)QB^rR3lbw&X;TsdZGBs+1V^pik+!n2^HA)gFc-??n`Y3Lgk#|BI@2
zEsPuuAW}pxdyxa-R@t4!O0M2rX-io~*Va*6mQMI)hZ36(V7Jf-WOtW!qF`kEmjT2I
z-FP8#B3w62|K)IZ;2e`WN^s=T-sGW5_fzbAs9YeXP5KP-R7))2a324PS>Q#04-g7Tr
zM(yT0svxq1ur_!dRr13f*@_iYMGtqm)?L#Ee*wbOCqvWmg~Yc%Q7!cSYK&sc0))7$
z4o~CD+z@w};{iP^u|nJ>fz?Hbn@EWr1WztTh#S0)D#er;@|LdqyCB%oa{zMFLLADL=
zM7f7;8@>|h8Wa}h4|lb7R53tj#4F0W5cF0&L(#F)E_3N>`n|vDR!g*{Y*1ETXT^gR|(W*J$0XogzPpLIK)M}UE
zTa=Z0+i`%eR!{B`Uaj9VEqxbAB-_b`M7G;i3-L?(WQVXmTpq(628t!Wa~Q8u?Bj3k
z8{cZT3yp(&twKO|+8vXzHDHU4hjSy_isONt$hI6?K8GC>ia9rb}NE6ro^{}Tlke2I0U^i
z){biRb_3p_+H%GjdSR>Gtkw4o59}(#D^@Ki-#uGzmv7nHY&M$sM%EZLO6{n}`7;r`
zqg9)lZouc!MkkXm8!R>%${yI=$hi`Gm0+Os@MacG*L6Ol5B8};;mh`kHuQci`CZVN
z?My6w$#-(!fpiTDBlic_k5Rr5zN*)5Qe?ezwp|5n#W}PBIt7=YaHAEjf$d7u`PmxH
z5sCw8v^z=_C{q1L&uDZ|_;RRA@pbhN7(R)w*Zc#u;0&&LkvF(L1O_XoN4hpi{5KDY
zNQ+oU{*tGvj+KiB(_g{SYr(X|4G~EzZloe0Fgw+!cN+
zM#bG}59R=*P@e<*X7ol6(={_f9W7)=xxLGj-ksnUgGpv0XC@;>WipPG9{JmxlpdDz
zq}eZEV0s}ycwsUgVfo&tVDwtn+kc-*|WnG}?*z+MS(AOK4AJ(hi2P^dggX8FE)-(m1~;cd`^&7m`W4
zC@hnwt%c8fHc94#ccuRJCh~tWO6JDNOJaP_=*wZq4$>
z^U7s)skKDrU1|_Cw2URm2M;!ozdcD4tEXJT^X&R?hWTpAxQKjwDQK28w>NdyF9dNUJccu
z%epHwSYl~O{#0g7Q}K=f5{1TYgQ^8IHY1^B%`|!0tdvufxTDJnt$hJJ5DBeuPt^j(
zbf2YttOjlS=lUCo0x%BejIK&${;4x|D_v3ftj^kl82~BNX8^wy-QeN5W<{u?g{&yI
zcbU(UIA6vs`45SFmWPsMliN%~4>&>W>{s=rOxVwUo)^@kcaO}5;x2FOz
zd`61rz?mjD%t3q?`n99(+*I1P91l2DfQhgFeLb+c
zNToSBa<8^e4-^t5bK=wIhN=-0z`xVr-_Q-l`bm7o-l@j;%w(mtQ5osRR$~%&
zVYN1n&eSHy_a?hp=Hg||%0z8^E*`W~X@&}9zF3t|o=T*B0C>=gMA~7;fb4i8tzS)y
z(nueK@dsu0)?Znkj-~r+s|N=
zz+|n}z78&Lpsi>-#0)NWpn-i(SH_86>m-xJ>4^{_xnU0FV$V=?)OsA$P3P+#Pc49>
zP3P-)ks|;sl&^b|heQO4B42m4r>c(Oi{|UD!_jN`I*S`3UnhqA8Q9~m=2zP6A>`oL
z_|fzbt&J~`p-WL~q#E-drqrJm-sNqcsya(q9V&5yJp`wi34S1zspeXn71yfL98l{|_~8D#a#D@o*4^uEND*s^e4(eFM~t@$#@!MdR1r
z28Qs|wI{6|iO%P#g|&O}sO;^H_Sy^AM{7^Iz)`aGW-2??F1oTYP6emg1)FQ_O?6&&
zx?OhV%p~vX^iydU2t)2KQBm?Tr$~cG-dHfYPg%=
zWrKZndiH#~(QTaY^V0>ptF;MHm}+rbdn+}UD$u&RAXO-MexXgnrM#O9Qx9A!y16j*
z$gYIC$J@Dd!cfC1*}cSDP#j^>;&q&&JS&!%U8^z>sg53se^0Or;bK*WxOdp*d>q_anc^9P_<
z{S172qhAuD265tmn4<-|orm&dCf*PNi-iH%0KhW`=P_e9#G}qt3e&h=5WfQG;0SFS
zUJ*j0tKJ~AOX!6fc!PSL>jFHV4&dy(;^1yr_T2$6JK0WK$~N=f3tuTK$-`j!JMe;on5o@8e7GWRj30Yd4y@NHOI+b|89!AjvC(mAod=)!bIj1Pk{S;(c
zzz)`H8?c~pRSRD1rZ-?}^@&Dviodfr-E8cyjlcm*IXY}>aCe(1?rXCRC!-*
zf2HntX$Ic*CUqVjz%O^EHWuL9;P6$wR%LvB)P#4*vG3H&YDw%VRfT(r$PF0*qQ4UNVNSzs|0wft#H+EBMkpbO>)kaGywGzX+^XPLI6{Eu_TWDGbFuo9GS=tqea_)`wFDnf%)llkfcw>5oBY_HBpht
zf-US+s9M0np0KOZf<&7hKkLhkpZa
z=%}nDN{T({p;Px&>|m%IzJBTI-0!-o9)hIXsQBwiw}A}qvNp&q#bRMl{xo@eM*xXJ
z2VM+S3+TXw+I#B}yfTl_KAEWjdvnm61=h*gxlV@Y=jFs*i$yiDWaZ?qRcmA;tU)@ZcA@kvZA1d$?I&
zVmte`GEtfdR~&DeT=7iiA*zMG<~%!0+cp~?ZZea2WhOOUHHMg(+Ek55Uav~-m~1`~
zm}JMQxv9-Z&;#sro#-VO$bR6;Y=6D0{d3^qvKOJ?eo{K#N_UJ7i+}T
z%cXWN@iDEL>FGwZy|*=0ZnkfpX|yY?x!chdkLaCeyGrZ)f#V(B>cf)NMcy`1NOl}N
zxfprd)cFIJX=ZMlPH0bMZ+{PNz8BfsGICdBZ#lmxm2(iXE+Bgwzhz6a0_#MOZLC)g
zMB_8lleIDY4dEN)LZh*nW)lwK)%Gf{=UbS|(RgiQqC$l-nv0bE3=iypjpsG--hC%j6&>OLq$r73NK0WtL=*)I`7JV{3_Y9;PgOk}E}FV~2aaD$-C6t)sXH-feTOu=
z8}=lM$tbm-_g)Xh+Ta5D>DkZw`S1?!_f*xn$vy&=!;=f_i%@-j+`LcYroEx}M;?k(
z+yuo<#g-i!D7Y*qxpL
zRSUS&;q5SQC(|SzVXP-(`4X#gj%pSy`dA{)qECWQ*W-{1FHijA=7-_a=rz<0owL^gB
zt|73`N9MMlgb%)o!2ByM=2ut6D=Sme)pD!Wn!968&CAO<)pGh=iepGRqHy!t0I6J!
z-SJ+5W5>s5&xZ|(w$1Bt$Eb6Kj;pc~X|05ZrSN@fB@#jsY(pa|WHI|2;xk1~LI`IP
zo)Eef7|0Vsbd`}166B&*UMoc?pjPJVq$>c)H(~F>9PVqsFXl-hwS8gHl0u4the%RL
zqj!EuA=SW;y2?!osan!Dc~U63t;~h2bj~t(Gsp;emHWl2h5kwkB_rl(0W&G2N{N}o
zD=R7Fs9`6CR29kVRmmNb&2IxH*%4B1Qs}Sgf#9Uj2VCvvC51%$#gan*&(+I3l0v+5
z)9dN+qRjG$H|byR=+;$TB!v=%WUqrK`zI-sC`V>eD4{)-6nZ|4r58z|pCETdQi$`5
zl0q*))`cX6e%6Jgkm3yNf2+?%kP51|YZEni89Ty{ZeUWW2A|yk7^R^nGv3GS0Pc$8
z)l`E62Wpd((O7w=gOkFl>U0Y$Q|gn6sVx-y~bD$@C
z2C8Qi{u2a{&R0E(S^zNa4DMCw<}M6Xksf!WHPA<-PLCb4rx^5jHF#ps!!J|}5j&z{
z_&~ncoV7BbRS`Q%D^MzD#*X)3Y(*tssHFbq=>O!l+^|i`%*pYlIZPTVhE5VnJLsW`EX|kbtgeb$K
zDqy!WoL3(upb~2b@JqM=6F`r!nQ;f_w!~sd8*9LG+B#p4I#Y`I6WA)87%FI?9o*?%z`C_32
z<6x^Qq%j{9FBaw`jXnna;z^@>@rrg4(N$K`h$A4Fj?A8H*u?W%)lYJ-Sp6==TjnEz
zxa?2j-mhr;oT81cY}%?@CDfdECTnEN^t3ofztW6`_|XFpHuzs&gjXDs^VG7>uh82!
zvs6I6Hg)7}5IS0KWT@S&s7*lX{DgQpCtXgo@~85iG#UI5_^Eel=67^i>aP%gS3MO!
zYmr`A)EOX7Ed0LmBq#fYrDmU?x+c>eRKs_@cRf`7b@e|hF4lbyEIVNx`wccjS-)iG
z)}iLO_^~_YO_P?D56=@|NP^Bqk-0@`DJqyF2d3ROc0(oiAxz*uOrlQ&q6?+F9^rVv
z!D0D&=kbBnMMlWUfdxHVkqrRFnOUENzEsxd0nnkYW_^~kuffhNqDN+ZxSmo>{%xW8
z&R5`vv^A|uHkaYEyd%*FIiZmo0}OJj+Sae!?~SB%xQ4Ytw3jR*CAYw;b^!ZyH)iaa
zh%f2}73^2q208X*?2udMIrAG^G7@sc*E>{pi2V`z@*nCfM0J(z$;;}vksC&p}W;3x0MwHe_+xmlmPogD?6a@ZB{6y*m`w(b5*KAp@M!M%MrohS=)`}Gne$zl+^x^3!|)^VGkcoldJA7MFAnrB
z3o!bij!gu}aN{wX%<%NQRI?EU$zibrZ4h
z$%jD8C!uKxS~%y(iQFY5;sq@yTcCv>H#c6<{6sJ!`LgI#8nTH<1|=fN?81Z_-@?{7
z+&ISZh=nD-gM6^gA1;O^zUgQo5KH_N9xaX~J`YcEEP+DgSi(6{4Jh=xgCXTZJqSS%
zOCEuiPLF&69!VjHYd66mA)`E`hi%OcC5SNZj-Uc|?ZJk5SOpL`gRhCgnIUi_Nh2~p
zT}F_IC|_vL|@EkX3_oek9+^vpr3wxt%44e!ng@I3o;dK=Q
z6KEm~d?)f;Y}evkBusHCGL*6s>>HpyGE)xj54@wExI6V~oPl89$;3>ZcB;@O6oeAw
zYvJ7~cn?qICjx6L-Dht?I^gwwL5`du{0QKoh=sP2uNDXK+K5p_@ORBLpnrJqr@RU4AZgCB<_9=NM
zg-?5iq3=$54b)8{1{|O`TjS%@2zcN0Nm#td2*tPsm@m|=QlpjAi*`rpGC_xLc_>D@
z#H)4R@Kn_^vPEC5`wlWgd$lgj9PxIYVovI%Emh*&*QH9=TC#uOwmV7s58U<&Q~rui
z@yXUBZgnX!>_ZO=vga9eaJW0`|9M!7+!tFjQ0+Z&m^?b`y;Rk2p=y6k{(hSiOTo5T
zf~o~<^Jv^V)o9lC)!;ZtGD+o_T}6pRT&2Lyjo5vGxC~y#3K*LZ0FJH80w{PS)s+Fn
z3McslL#@*w|L_zKEzhrBE#_*}b}@6^fZRU(M|hs4WO5(O#IrgpCkaR%q?lR*LSeKIeFf$@DZbY<^F
zVH5@r+ThQ1W}hHWCMtnEmH0Ks<=rXsI;82m74W~;E9&SfMcp>cG70MDy;){6#2WU{3)Nj**KLotacAOyz
zgnLvA@n7^q0zr+N79WgvqYf4;N|`6#%P3HUb;;1!$8nU4u$*zMOWfI!TSBpIyzIR&
zg04nxxbcH;x%ehDjqVjbgCH11am4$DW_VXG&b+k3kCz5}#8*<974dEiKR{a?!orim
zEyxBdtWf+xrTy%uNL`8jSP&^4ia(y~Gc6}p{~%%Yyh64>KzQ(AFd+ORQl!)YrqTT4
zP)Q0A_-v@psyM8dj
z5~1a04;2zRUgWPQp(ApxkeE%hWGR`1j?&Dfv&w%+U^D54l^`9^aSxCi=Rij+7w_fc
z6>YJ;6|Z^&&MxMwAn^68j^Nq3Md6w1wgZ4RXw2BEMOynwulKA{6;#3|xntVO9l-Bw
zw-f@^UZh%xU(gRwEg30?Rt8v0Qf}t!>)L%|T_d><5i9>;^6#xMdOOpYyJqkv#{;@y
zO0+0m=6+pZbpb9DVX)VtTowUbnz2M84RgOGI?9hh<{f6ngys~yd_Ih!NAU8q$XEd{
zIjacs#K^Ufg@Kc=&RQ4%2V*S@1l3h~#lD6#l-O4UDbg?dL1f?AAF=db6PBi7q#uar
zZz+q+qJB%Uji&yeLtnNz>ehv7Ct%1=kgP#rCjP|#*-7Fb1nf-v!~HHK{g*#7e+WAG
z_%e*a1Ro;le=s%TO#1U82beOG{wrv^Or3u&9U4-Hd?f2i7{&q{Og&eICvQVH6(xF+kNtcz~)N
zh#P+x(5iS3Q`)ukPq`$^SM#KQRhH+#jb{Qc@^B-TbKE$JSA-kssyDcC3!lSwbe7fo
zllj5M9nB6V#Vc%714e2RU!FPsVG77Lr(NFTOh@QJXJeEip!wwe6|Rr
zsMwN1imJqk6jkXd7Vrb4xTBc^6yY=^(i&Wuplw8H6)7=ny%JCx9sPa3Yp-ocIL1BAiH9xi~S1Jo(};kf&Z-Hy`va
zO<$v^yH-(0S2lHBIK*L7@{*r=nYid#4)cALwYq$Jd#;Rg&NbCi_>m3|caYr4$qqLI
zlXb(%o*o6Bs(t|`)hYE<{QN~ist!IZ^Z^gIDK2opW%4fnfQN*G>`$>7#Fy3N)r4c5
z!{hUav&@`SUYJi=z}tl``plOAlH(h!2p~BI!ps?~`#5XU50mIO0MRz=$c+GA<9I;F
zDOLnaJ>n7Zla61U=KPuzR
zNf81Bzcu*<(V?6=4I~zyV81nKG;h8!`3-D|o7EAB*0w_qKvcJ0?|1;m-qG8VUvspe
ztE(w#9n7&G!K20Bmb@RH;?Nca$KRGrjS_JVLA${|bLFI3C}|J$!kCTy0qTkOB0q&Osz-dQP?t5hGR2Z
zv+%i#TOzE)b;5ps!8g%u^iZzHVWthEv5KXPGpG?~c*=_mrwE}YcsbWn#_l~bKIKap
z@LTC71*jK$s70DYfV#<3RrhHHcbKqCpzVCdhyYbFCKaHn5@&#_N>A97C2Yl*IJ*v*
zGPb0fvKawcI!cQcLmtKcD|~Jzi`G76
zEgk|gJq!M~9!)n6s1GD66uef}h5YSPFnyac7lP=gtqe;A~3LGND2e15+?>$rS@0i(t=lFjQw@N=&|KunD}T9Ba!C<6EC5v
zxiDK|;y-{6*%PmAKLQg=vzC4;zkRU*T>4sNc#Z{{EkJJG0u7e)1)3SWq6HedvX?*@
zq1aB}&bwT_*amh#4X*)}C#Po%;q2rky$k2pz_5CeOkWk@!_#sidGG2y(uE(?$Oz5N
z3A**C&J)K!lyE!^
z+X9YW34D+5^U#fN#u13^exztnSdkyGot*t1UuAN_e2FipZZf9_RR@LmPCJYrf#?dxxA9EW3lCY600P!0CXdZVY;Yhn5b2W%~8K4+1|;s4bA?
zu^uYWv*DR5NBQeX^oE=(B<6e|CeWL-Zt1G>9}?(II$^rab+Mt=hdOI;~YyVOj9TBVo*)oz(w
zej4z|o)>ddptm?4&>@GF0&NFY7b(z0WUPhKTLct)N{Gs5!`Wm6DL8vQjHpL&_I1c+
z0cSbm2wXh{c^I<)`zGVVuUuQujp^TLr4!@YaA?84+WtyiWZ@9J)236GJjLKauXrD^!*}IS@CH79i8aXrhL3E${5EA&?5`m}Dv>%x1?=H%u
z;m&fi3=3!Q{a$NH`eV?S?K*T%fTLc%fR(Z}IrAhplvdD;^JUL~^rYWgp{@zdL>Bb()QB?+%8MLO)7%lDK&cyn
z{@6n$vR!0Bf8eRw0a#@}MFwc67^WE_u&QE6DhsMgoLNv+x;9kyN}6%-Bj5MkqjARW8Gwxfo{1MN9ba40*sOv<_AEHK_Xqgvvik83Np;AN3pYv4h
z1TB9F8K9x%G(!YhRt!m@WmV!t%c?XO`YHo2gqE=%9Z=*#PeRKd@UT@w%c%H)X!(r+
ztqQa(tz0^;T#_YPmQ#STLkC*^0nm__gT``>mIqIkXqm2hgO+!4cqs8>H{kNtj^MJS
zqyxOXJ{wZV)`#Rp8ZaMjazr9#`?j(Kg3ONvS?L;X&T}D<`O&I{_!WHznI*Se$B86R
zw?~+H8*s*+1amR-WsV2*S<}MI7Y9}sm^l#?+k!G%1kAj~ui)9BIiWuVn%Bd4dIXxA
z$YcSUIok+K4I>9bK=YIVny1PDkKun9;r9|bFL1BQr?A_QFD3R2!5%panQlebX$hbE
z+INu1pPGog=lJ;!=*xB;7S|+xele0YC``I<@$;KK1JdE*tx(sApWi@@IPo(t>J&f!
zorg*dKmV<#YA5*l!^i*)Kc^WY@Uvn_3O}n7Cw^9?J;u-2kB%;K!6@P9*Lv8h;b&C*
zK>YlIfK~;5mR2r3S1!pCKg-!b*`WhJe-3EK!_QdG@$=GCBz~r=-r(me_S5$~H;soL
z!R(m2lg%5CpC@!yM09|fPj*lyz9xyIb04uM&t)E0r)p|<)O1D=`H>(FU5U-PECeDy
zT(uC-^$|qYn4iulCkI}cFQjSrjZAWKAN(`_VY2Ztzyy0r%SFRyIv&vHKno4853DZG
za3T|S28w49(6Dp+cp?<@YzB0E;*{ou^b`<27KYLzApB(HuK>cFV}y#1N9Kh9;hd9~
z#|xa&oYYn7#i~d{iA@Mnr0X^fRaYGx2j*=1)f$PjV+m(_jyInQec8roF-+pkTac_l
zVKjccsUOxno^e?7csCAfez9i=I-nYbx=w@{QzK4<$&0)Qlb>jiOe^ZQQdgQ(-sqtg
z&0Xwkc%7$eCrIhc%BEJFGdaCMAaL>yvXXTqA^e
zyN8{~d9j}XRXq@4&IGh75T>+i>85f?mIzb2S!H<+g!#8XLmtA!a*i;6gjckmfv$Rk
zFt6lO8GVDZ8|m5k9>}1P(E-XlH5+B}5xQ}v@ojgp$;`NCx`kz@n(Ay$VIf#^iE5#*
zUST$bumEUt5ZGW(Xt`+f1jhsV3}~UvV*{%Tw3$eS9fJZ|1hnZq>_8VwCf-blPvOnq
zfg|Y=-rS5F7I>5Mj8M@ZpvMrrdF@iz19NrOhe60>#Zk}EuG+q8n;-aEYemG8%6K$U
zYr^4d1Dj|09sF(`?fZp~+w;1(19&~%n`*#b;AUm4Qg2VrM&;@0N_`w!Xg6+xox{*%
zdGbJcwxu55P^C@8SUNngr%Dwj8wXm^4Ag1J+PsBcm#J>6`KRaz~4qSlrhkpGt-k{`)?aa#+ysyWip&h7OXS0Ckg>flSmJlU=e#LYRu{2E
zA{O>rl+Yr?5|K}dvv+YM)Te@pZ^LMM6il3s5)r`!XBq_){~)!UfkU&Z<^8orQ$_&s
zyP_Iryg#eD7m#MrwJs7|}xD_bbpc
z!tncLNY2|pNMr7-ogd%fMP2v+&yAje=pgkhsOv=V*Ha@-1ka1S2z~&M
zbeEG8KVVe9rL>nY{EUZY4Z}A*RXf4(2ap{ahEKCcV0guz6oywNP7JR~ha4E59B9tR
zcuujNS?gAr62o3}N01AN3B^Cj!&D8$qw)u$_^ko03KTCby%36*vzD?&2a10_(2$4X
zv7Dp$58)M|c)IEhikE8vv+YW&8z8>JwE!fe0}P+H7C<9(LwK3@=e>)=hXt&sd!}>v
z0tiM|=i&hVe$_%ht_5&5EC7E05wO9Y;&So(_Z$!8;P-C_Ru}j^kqY}33TP4Vd)`_A
zi6wI_AR#^l-#-b1=@EQCdTj#VInM|ueHz&pviIcFY~+i>73f_?)q%B@wXz7v10Z@L
z{wV}R`!J6ztdjU!5(8QY9C|j2I1GoLiDV55iJ9%rgufW<3Jx
zI#KAw)QA&>@**z^yHUK;M8@gh1)4Hwbha2U=UolU+GlV^c?2WTc`4{OLTjOBgEGQGmzflPEwE)G6FpjwDu+IQJwE`SBVo}ULU*wb1r_WZ2lfgJ4l$-wFY
zdnQ6*pFsI60`@#HJ9kV{$%LK>?J4N_J{U`npyz|gV39fIEF)<2H^{vZ=y^&e^u*Cx
z$TO_6vQ)Nm2&gEr<@l!%@a$WQB<3C>#ReBaI8i4r@}ka_nENCn7MmB6
z8%k#hb8hv}t6|Q~o~oT-&P$OM8s<#1Mqp0GniS?#B~Hw#N>8%@Bw$YDQx4=@V?D9f
zr79(cJ?N(IN1W?C4Al@PDtsW~JT9PBfjFgg7ebuU-zxiaAkHTP4S9$Y%Q@nV@rn>9
zUG)ZW?hts3PD!qGBkMWe^V|$VI>4Q4bEa-FN;mX8%%XsYq}E;2MZ6J2q$_rD0Qy?h
zLSLQDWU*oaFzAPX5%v_9i$U*kJfP2saznz=u*DYO$NK`S3k;gbg}oO=vWG@Fj}%NtSzSr7Knz=|HHPf!sWV
zisc-kw(*J(DqZykq3)F4uHI^w>+Nnp)cKyFW>V4tMjgt-sA8OMkb1aH14pU$ZPQ!4
z0OX`=w>jH|?6SRGwa{1Rr`gO{0G#>;;Dl|Vxj6MTjt6v;ws7iQfz<_0O$5VUg)&+M
zoa#I;&5}$eP)+Dh0o7;2czOg>KaNZmK$WwNfa-IRgCRh5=;~~s%FWk8s^JeP%Vl3i
zYD(;jf+*?dP2<%yNkY|rI;G6g1A$flC1G^WvFZ<@FWX=(u1T!=JtS*T7?MACdV!8r
zx!5znDlfEQ$2@YV2c4cj7#)m#4o2fdtG^?TIMFIE@}kv4Ia=kzl5o|$sq~oe>Tw>r
zHN1MXr)np7^<^0M4tab(#za>tn$5x#Z!=Cgx
zJs1AbKGNTi*mK>7JW~PX;pp5DRh&^qJ#%!b-7($542VNlVpBOo
zfa%Sug+4qdiCC}zm^20^*i&3CCVigc0ew!iFzK@cs|!q;$b>x$#j^;QH0RVZ6iOx>
zO-N6{(McFekKpKgkiPTjX06MlZ18gar;UgU+JbX*yVQ>@^t-%4)@bpGB$tp++D^i=Hx
zbp8<;p)KI286!ZaVoVBjsuCyYRHb&l6F?_$DF<(!WTDix4mBw;Y+s+Hb8#C%&2M_x
ziJTY5m!YZ$Ld{PFv?`#cv}@_Fa!Hm@Q~FzFc@C&~^cne36U#Z&ycn+tYSLA2pr%NU
zZk?R0O}A=Yd26Y&i1JIe19F?tSAWxA6m9?aMuy31Q;s%hDuHEL;7J@;aq+001
zZ-1puOL;DkNJGDXaUj5!0G~sCW2u%p^O#*h~^|mm1Hu}XhMGqjqZW*
z^azc<5}7Q}C}$g?(W{YzA!sx^*C|JALDKLCl;yHFBQ+)VCP9?+^QQ6Ynj~>)|0PEy
zSK#w6#OT*2jP5xm{UG#Z8?41OiAnE4vId1A`7x=M9F+rf0#jMo1$6pZ&tP;A_ByER
zM5mvmMx5xB7kSYsACQa5bHmC7^@*xG=xCJ`u>1c1!9#}FFjc<
z$r7l65j(AJx~ksH0JqZgdE-rNC7&70V7
z&cLTD<=CZHNN$)OVJk>N*I#p53&EtDR15JPefMG$GJXNj==Hz@dveP~qt`kf&}Tyn
zjqVAoF3@Nq61E$qvj}K(Fniw#$RrboCX}ae==m^`9^ueGL-qF6Lk3*WP^q-(`*swQn4k4E>(#WU8>SktfVGnLATzVgDWGe
z{@Sf66@k|WfP8&M&V^@$DBta2riLg{$paDP-2tr%L@6y=`lnoyC8CtxRoR>aQ9b}P
z}={c<0W+%Ubs29SiVzvg5W
zf+*Li7WxoTA_EoxQCZmmpdrdMTLhw1Y)K(XRpLaH
zs?>ofFKrh=lxYGC*k#pf0A<9>Hn5iL3RPsPX`J8}O1)`J|E&Wq2$r4dY@2YIh
zfha!?G~^*lEa!;wcX&ms>U7l`L@73KUfSN;jU;7f8#sZ84lrfT22LEE8&rzzn$$B#
zmD(NC6&yEgDzQ0Zg}})8V0kDErANSW7xGsCOU^MuK!+pqLV#uVrc4;Dm8%S@tE`mW
zh%}VgQv@l}b(@B&tB!=0{kMUWTO)Dyx`eYm$CfSV%QjAnVG>(TBUyvOX#Chx+qVg0
z%K(>KyMQjA=NWPOC^i=Hx
zU%na{q2bFkV+6ibj7i~3RpP{#s?@P>6S$NEFjMuv0^rsOo_T
zb1I-!fiR_AOE(pSFr}MSmghj2?*SU}5GIy$g!yf}B7{j-y+N2_6?|JC}^Y{0TNSq#dY}orv5Pp0iArk>`hsj@yWDN>~@#9Ku6?~gJXSuB#Im>C!0Ce!Q8R|Mw!YM3ubAiz+Ee
zi6Z2)iTtTFl`!RVJhW<<^3Oa~JHeEHj%?5{WtuGlQ!2KkFr_MSVoFu&$XRYHl(S5$
zNQq(Vy0PcNGs;=kJj~P(B`SF!qP!}gRe>m_MN9vbOR~&aO7E&{&VeXj2{hy(N-XDy
z@{@Q)h?1^)gD6GLa$7&-EP;sLkph
zFlR|DSO8r4J79u6edXfH|8_i};{yv<{wlD#z?F$i*e_8${gtysp=1Kfg!B}!{0a=E
zN5FE;nF+Au93uquHDq3AIZGI9aL!VztE`lr38VqE9L7I|pk@E%EV(rjXU`DBSqN;o
z1%(@iEgz3$4GN?2V@oY(31f5SEaASLjKZLV-Jl)(8S@k31!i*{7k{m12s(^99qKyK
z;L8RwLc^D7#t3|=7?Z-6s>F#e
zRjDIq30x|YvvjCQiDCP?&F8{3LYPnVuv0^rsOo_T^MZg@1;UheT?k=HH>)hqfiV9J
zXvjmDSk4jV`|yeoCSCOgVTz9vT{$z^m8@lFA16X8I>4AYA19*mxk0A*5)tp4y951}
z=@C8!GSM};IL!QK)j}VBoQN}F0dVHGfeZFjmWwmL;dmeiXMQEHy1#`
z=6sxpq>>3V6WUWi^IjNBkAUXDqZ6RXSw?W^KIC2q(9Hhc5RTSDnqifdrLq%%IDneR
zA6o%u+n%c*SaBxnri3MFin~(PlLI+hx
zLtQ7@Jf9kIqD@}pMVs_3A}&Ziza%%5&Jy0d%0sV)H+Olec7ivrK~`vZGtC--Hx+AA
zcvF=)@un)Z-~NWTdXP^!fHU=RBA2R^81|r>z8`U(>tU#dI8osP5$CA^tqQ~`t-BE7
zl>S!Pp966+pdk-&VmU{gci|NwPP*zT;@n=I>dKdiIzyaDMQ;!%jV~8*^1cnkNw-X&
z@P3equF1s_=et!4eTXyff
z*B%@Reu1d}5T~$6V(xDf=JtF?<}tuR+dwUj$sL(TBDV*H;S@rgI5;Qb#DXp$&LPhr
zbXfHuFxQDVPoYMfh?5tEAxovku60Kr%P2z413V$X+PpT$-__$aiYQpBF@7CS`~;>TDSC8xg^U~bm?!E
z{W%clE}$U~abh_~oX^H9LY#Ef8^pPXpU{JHlSl7&;}xLGJ36OGr=|l0x<32x7rlp!
z1@@!UoRK?jTt%kuxEo}rYrHwxg)F(hLbVXz-FN31>FisOJ)Q3ZZrBrGE<$~m;{kof
zwAS9=9#~x<)I>P!Z78QjK&YpMDR=fFd@_ayB6BcXO%#>id89ut4f>*SCtN1Cm%shRo9suq-&qx
zxmJJ9R;3cd9`*S@7e3Oe{wfcHHN=Ys5{P(z9bk3>@k(zXy<9HI67fpEt?bo-ct>Dl
zd59OwIpUqfD?+?<)f>cnrNDKKc6W~C+}s(|MKU_TxTog802-k?&AM7+g7g-~J=0M<
z2Lz+5vpEBXz}aW27UGxnADrbvSb$9HUBCu=8qCG9cRC)>=S>U8&IMK%I5v?Ay8{KZ
z2srjp9tF+@unF-g0Q)o;OpgHUN0Gw3@5Mp+l~ZLtQ62{S`IhM5nySi%wS&I^`agCtS5VN^uE~9`+bN<3GKW
z6nwx_wG%vg1hk#c9Dzp_b5eLzl{oRJDqZWqqsXZoAbPU($lC2Lbty6IL!Yv9;T$2*
zpL_I0L!hYkfe7@g0j&xIDs5aktz42N0+o(eS)l`gt^tAOAy6#m2y_o#5dx*F-XKu%
z=F;|=scxiNJ3DO&i0A-)=A5>KqjO_V@tzX(EF6MBqd<%45T-yJx)PhySP1T{sTTV1
z%_U;N0-(-k0~72CEf;m(=6FD#0WH+|w7}{DbtW=lPet)80_w~;Z3%^vxxAl{p2D2t
zFq9r)&bK0e1?J=&BTO`b%nQMs*(WH$U@gQMR99Iky9a3~vA+?dNY`x|s;)W`Z}#7t
zOWYcXv+qqf+jF$}3Fyl+i
z>85f?mIzb2S!H<+ggNloe1wVR9ATc1SA;O>s;3BZXXC))BTOKoHwY6)my0l|X9Hp4
z9n%?H1>(?^*qpdR5attA3w?+%i3JOQFeiZt_9T{zFsqIS^jXhBnB#%f1;R{Z!p2ZM
z{e>`5D47T|Aw7jKx4}?)gfL%%{1ph3bBu7%c4S^>2onYyj4-vj%1YU5kcJZbD?y5M
z-KL@Hs?)y+lUpNk_EiaIdyX*Q3w_zfX)#P9%y%JKgTiPEAxs#X6Jf%A8#;hXE}F~y
zC(jUcAoWV9>qMCMQX@`;$&11eCP`64nD|?%DyvXXTqA_}4<2@E2oqI35MjO}pjCk|rCm!m
zl}oZjn9|KE%X1*iUjPkxIZQ0)2=kP4B*LVto+8ZM?dIYmOdz5+2opz_i!iBY17YGF
z(-~X<;?R}YoVY>|=DDhcK17(rf(1aBdw>b{B$kUXcRC)>XFUsHZVRj~5N0A1b_I&3
zzYr!0B@hv$deOAKRo+HdxL0`6US`3p2^G+mdP#8@igb8DFB22j71%&x7&k%GV
z^=DAmi7?+zjW`h|FA77LBt;Ej;%}v{gfRcnL#>7|KkBL43Bvq;$OsK#rWqp;reaJA
zVX6`*!c?UWgb7?Jf-oIwQexP?J~`*YHA0wg@vu`vn5gQ32=k=@tqO!G?OM92T#_Zi
zlx|j8o&#b28_n84}+VJ0$RXQO!f3}J#$
zG7)A%dJ16gp0}d>S?4M4PuH`A;UcvG<^g*R1+6K|?g$7xH*ryRhUI^WZ!DkX+J6hoY|9)@a&6BRxXaaICa
z6^K(>xAay)h*SDoWq%ID`BtDI4{>5SN1R{5D?*%f)f>dQgTLrT`G&3=7Xj?xW14>MRHgHh|Q=^}m&BGMJxoYO)8=+9LP@tuA57P=C~0$|WX
z&rMHpxfpb%;{kn6v@qz>!0G~nCURkiz>|xCK~M53a(2EmAwLB}e*_xWBN%!X@>sx7
z&NV_xKM^|a{ZQuG%s0`6CR#`|xW2Ml_IMO#iCu_)02xd7ZW^wxMiPwnvvm@e&l5vh
zi1X%mqoBjio8O6K4GJUj5+^oQrR%Jh
z%;B6Q!L1y4Y9~&$+_ya=C_-xCq5m%-yGdAS6u`DPJw@?!M~v!=HeBV
zdb?SxwB}&Hc=f*cqGX2NRcXPe5L(d?5f;_zksk)Hn~NXguQif;&>waVN+Y1pOY-}emuvEN`bXyDb~D$0*a>4l`zQDRcHawJcl
zA)#0z+k`fDnD%A&_*|)wg_V@+C_6@P?dWuCqT0jtYKIxsBtNXXCNE9|UfA#~H)sM)z;$pF#4g%DPj7!I+PLh3|1f(QarJVk-AjB-
zYi4@7(QNN+O_iJNn`atr@Xxnn=OcRO<}{+yX$6YMb6yytI$p}a^h7Rk9hIso$LJ_A
z2fW)g;8X1Zd6}#IJlTl$P1)dlC`YoCewd?pgR7T$$cA@bP&WSRBKP8S#P@>A
z%XtDqAdHYQVcM!@Wujef?yI!t;xqP6HO6NqE3J)cR@~TXOzy8VTN_7bYLnx8E4NHH
zE3H3vtkM~UdIlf6VSj{r)ko4J|ALpakX&Wb2;;B8xz+7*tzKzH
zt#)%}tQ}1>no+aTo@v%=^?gyhT7h3YENV{eM%lLr%4ciJ#of>pDUa?nmW=v%KI&uV
zJL+ZNdlLI#J>Ls31cch)-ZEdg7vNMJ)1VX&JjM2C-+$+`D0@2`Uny;x-x^}?PTkY&
zzA6zeMM2RJ+TeBI0dAm7?Kb!ondV*_hqOs;q6Sm0uTxVVIu4G<`aH@#}$OAmNLs5od;%7a3EcVC`o#
zHpWYlPg05b50lPoJ#->9;uNT>JXQ7CjnAKsxr`<|_Enr>HNeE43~lGLMC5eExb;D@
zyN>~G@p*p9b=DMrvxjJHe1R-I1hh_al&(#NJ~O<-XLzdW3}sVL*#!>z*XAzB+>AWJV_PiOI=O9ZSqEifYIY_10P6w$w*SwrInKXa}TSng9n8_svu&Uc@L-Rhe$0Cv49;JzSES6OJvpq4-Ar
z>@tto^L0)5vx}(_Pza~kRq4YrhLlXzab^_|54NL=hux_G^myP#$r+xh0cx_wyw_^T
zT$HingO_tqoAfSX1YC_dJ|2h?IVjE=cO8`bXWC63v7j{?ij~_WdmEpW&k0c1-F&zh
z4tWwE>_T33O+c$+9bU$MD$qhECRvi!gcguY?qCcs
z<4=H{04^AvrP3QEs5t#bk-`80?FTy=A08M%)Tu0JBpPirCVAillHAgT&NWT$N^_t)
zFSC@@)cV!ha3#85r8tm~L$?0v0HqSzj=hq8pBl!*MD+t7aEvThg(=G>awmtw!%~xc
zI{I~<@RZ44l@fMrmY`52d$R-<^UV_f0L^W89U!Oq!swNZz35KIJZ
zNE{a2E^(I1;SY-({;-|HAGW%1Z0%xeZ_&|I}H-pet51I%X>%A825P%lp6s8gg;X9@%Y%OiHtmCYVsY|3
zytEf5&k|bQ!i7QHTfJ%bo~Yf3$`N<`I^u>bGOSms1;6<`svItxMrz<-6+x8TW12nX
zqus-DYah+=BnXYG^F@1?@)xQ$)yD(hE3@Y0XsQBeaU8bEo*!WJ*2BZ9a}xnFIWQ@i
zJP`P(%trIi$buoO$R(jeDG5P|m*i?l$cDuisutoG_Xj}KnZ5w;jJ*XIU@wK{0-HBF
z9?+e(1#Dg$SX}^{L>}xlC>r9xf&!cP;h74X{jOL-b_(y@4#Vgs-eEL#(T=9iAa4ca
z;oKs(^B2fCa^~zC8mIt^f$4up%d2F66$*^cdQU8ro(M=X+sr-+s9V^~T&ouoT}h
zlm40iP{JqIyzIjKA?OL@FTofRScZcW3FIZz2!vz@M?)6+VE)Rh)-;s_HPc=)QqLXgi-VVp&WvCbbr=N}M@&RcgQ11@D3ZmvY_%OMN}cp(Z7U
z?dwsEFLzgBe+W=@k$Xl}_uyKYd;UQ{t0MO-?OM91T$1HGVA91Z%X8!nHv%v6-T}jM
zo;WPy6}vJ)Z<{ZYyo7_O9id12TeDySB+r{SklbOP=wAd!o@fyya1xBi
zeH6h;IbP|dk{hP&-)iZsIY)(n$o;B?_(gpMB9Y+>fFb`9#&1toxft>VjtBJl&BBnk
z2UZstG7$%R9!h2rFyskY%9;%!6RJ}X@@5!Ck09j#Mb-)k$(co9r-ghAfskviuC;3L
zT46LXQy;_K$h07h$$}mB`TZePm1VMjL<&mmV}cOrolWD^bp}U)Ie6Fu@G
zFM3?g6=73vMNLcJl`;jw|gkOqerh~ovchccJ7Bk@pKo<)FD#z3`HJ(Me6^$f^{uY~Ol
ztK~Y3Oqm=hZ^VyMw5e`5jk0mE#Nw@|dzT(>0##XyA
zR)u+>HU@8El?mf)7_UuC%;4LO8_MJR;Uz%CJ+Pf#QgtX}q$(GKu^2T58GUp+j(@y3gUN`z)o19J=~J+Cr&>W+jGpyn9a-
zv;su7uUVc#1(|^T0#U0m(T2AZDTmZW5$!0oQF}qd|){u2CaF9T-ZBrYVBDN$s>L^62-^%+5Y;Zf5sRVj?&O{EN3U
zJ3I5gX6B!N{=br&spAS=u7-oK%qSMS5QW_AnO;1o7c+3dA@?)lnX2oHcHiWY#C_wF
z<5Ob?5{HiLJ}|K-f&a%R5059_526#lycb7mz2*80+}E?7o7!IL$6?Wr#NHCx=a>B4
zHOLj%bB|vdoL_z~F2C5nOK+^-Pxr)J#S)yJ;F0OX*yPc~Lt|4@W0TWI??O!+prI5J%l!^>1zcwZ#lR_*
zRFU}~_C7E^wPzpdkL{i~Ffn~J0Up^qF+Dkc_;6zH!6__&4vkGsPwY8zU~CHfFm>qQ
z;qj3~;xK3p*6EGJEp#!oP{N%rsHape?#qo+=t8ksBBM@p5sQM5uWR7ZF631S%AnB2T|$g{Q2=SM+^&xWX&
zeMYXlhICkRwWGe0WE!?_`x3sT+axpZlX@lBu%D-zSSx-?^bo2CM-rfnY>@p@^xs?9
zx(ikR+LLaG3(ZEpt3J)v-a77OXVYO8mO<+i%9mE~2xz%R9pSCCT+synmvtX+`68shH{{yP_+X$w^KigW{
zDrsY`E)Eow9NVr_%5|DxI$Sk-A#}Qco}d#X8MTCut=Frj1A}iux+5GItZAi|8th8D
z8#sr0LDL@v&f$848MNOJn#kx`+hO3G58?BE!$`nt8zpegd1^rDG-co%hXxo5#T(C)
z^>IZDe%%lxqTkGGKaE%8d$RsI-eN}Yr#^V%UF<)b$kZ}|&b&^3j6H~K2AeDMLj7aZ
z6JDqf)1P54)HR;fgo{Ul(@;*Gtt&`fV?ReNud_cVKHyqxTdyIA-{~}I{_*A^;qu2p
z`3mq6W_&-}lC}|kMt?=9lk$(ZE=e4eJ!}F`410>`0a`JRFvz@8-}s_&r+ncF(D(Y2nVHqW{oJ1n0Qe@S#fi+?Z3?KtX2-)oiJOJ
zO2%eO!nX_~q5g^ksP7r7`ZZHr=cON@Z9US&0hB~q(*cw$Q650a((5BIg+!4Pr8aZ}
zweFv0TCWbcZdhl3-GEHOySR+|Ppqmw?8T^W>6bt(-gR8}2bE*Q
zpt%>-^#~FCEfLbh-?Bu>-?H=?!QU#POVl{JTHt4DEgnDLY(QQUKWjzAy&e&-|xrdhz!B-SYE%fh>PZK4XgF
znGiDt7fw-j{hyRAI49=K5aXgm=-+6DM8dCmG)xM54qW!qES-QJV@FGoF+J7T=9C?WL)_udfd5jg>To{HJ(wTnXs>L
zbg&Kd#|Se~d@xt;;qwwZhGrWjxi?l7NyfK#;KNuc+(rLH_B^3o@y|qqGo;)u`ilK$
zvlr#Cy=$R&iJI@WhV6TO&z#;vDV+F|gGbfX2>wSBH*D5BgpWns9zQ_+8WP;x!i_S1
zn9!YUQb`O`KpM6iz_B5PB;U->ugkb|3!j8cCPyA9IDTYqQr;Fp=)+@v1VospjvI#U
zUj*NVy4?9vSP9*o@f>SJxhvpB#$CZ;8HNX~@E<|)JZk8tZ(s0;p{jph5O?4EVM2i~
zfm1U|#J)hHq-kFuOO*QpSvnGv{1RPG+&7^W=&OFM&|0~Z?#khfi~-3+53wIkv8ww0
z@Ln-#Zn^rup#z&vMELLe6bVv8()ON=r3f8H=4J=Mkb_=~I&r6BO4&IRG`
z4gK^9!rvOI`USy$3YBAQkiUlNdXxx3kSJ*q1X-dK1X;S>AP8zkki>P`dmk)LJ%}e1
ze`-K@lTc{o%-vM~T7*``rkZA^h@0yBSyl5Sx@0PqgKvsEfx15>ewpyB+7o&597I*q
z3MK)nNGVscbg&tXa@>xh5E4P}#*>Ka4G1BL5WGu_5sP>A
z!Xpeq?i$iH2cFdxa3oX-~LmOAD!Pmm2%PKIZ~+?
zW7(<{iOd34Eo!g>JJpB8=8L*jtQTgiO0qPYtW{E!N2NqL0e5U;9&s6wyRMciSa7`*
zzkIJ`;fbAbGugGa<7`eKMBYrPY6X(qdB(3rY&_iX#r~Ge&NSF#A=Zv>^!hE?f>W43
zqZb=h^R>^a4}tTAbFuge*lgCc>W8QtFsogyuI#GmR>eU={sB`XLGo!0Zy#qbL^iyA
zM%BK~xFgyR7JEed
z2#(}c)kt(^wtwJ#h-zlLsA^wF3DJIl62`20Z>ql120i%4JEF%jzm8Oqq+3*QsUm*|
z3A6Ox=GB^3L>99bB8$k?s`hn+5$(q#%#EtAv_TmD@s0@N*G#_YN=2eUpN`{IU1BLp
zf@IsF8n8~D?ubXW{i^nLWE1VjBim8cSK1&O|9D4ay9CEP71d~TG%3cT$)l?Fbu%r?Usipm4chR}cSM_I
z{x!Bry>*KUu2Pe~gR1Ox)sS?g`FcFk{D-Q29ce`S0n+e-DyPts|j$y=yvq`wjH=lAgW2XB_JuarVYh!H$_8C9Fg_
zdrM5!i%6Y_yQ9)3<=zVmp2V3eN^!8api?ld+(Q4vI+vUGO(sLuu;}N!oXOoo1Pl3U
zw{ThALH!yM9Dd2pYN+>qcMm
zuJUYEESZN{E`HU3B)`pY1L`VI@E&4~C=V`pk;=Fl@NG5t^_301^c`Ci3|0L`)VSw&
z6+(dT{H_@x;@CnWr0Li~mMG1uvUF1n){q2s;=Bc|L0|K0jnHYq=pfGR
z9%NPZ=XM9k2;hkW-HpdR=}f7R;F3dkURim%Vik~_4L^{hg>)#p;#|+ya^*bUsTZpo
zl_FxaGW>~QKzeEmyZy7Q5heTcqE6ZW1w$`=?Ee>rs($vj&!TdSQ@a;YU5^mK{t_Wg
z>@Q1{>@Q1qcE}2zNOal~n4WqSPfRWth!9gub_&CcCn<&0X)Ge7m{7PAD_tsPs?4#6
zTjF_Cih5Bg7}B=m9&5X{ABj0OJN&>f5Ir{t@%TP#L@6G;s8jLi+iRZa#jS>=hN_*2
zM?c!uBSeUYL`ai($P%S^$kHwG=r3vN#C#FVPv4Bk{BIg~CMNUm_AR2g$;%T1(h_2(
zsEIOqB>0~N?m*NIr2r`GWkM7bB@%&5DE1h5NY4X8D0Z<%ltRIaIu(jvHuTarXB;t9
z?L;Vk1#RmQB7{OBq)8}biBc$J>4vD>AgSp@eg%R+--#y(cN@?eQxK4V4xtfzE>6{2
zssf+B#9U@(uAURVe3a!2?)=iZ0Xe{Ph$+I~t)3~&l=8@UH!FM}ct9(}tSWA(A#zE%
zjNl~506~%vx-JyK8So>9@#@(?$c4iiQOX4`GRlR~8Sq&{KYfyM!BDjm$@nzd)}us7
zhD1q|WXKYwWXMvai@$`Ng2>-~Uh$;q=q3G3kRjLEG@5wwcg{e(nDTdLvyweQNXAkp;cApZs5g~BNk>9=1tyvg9q4}3FbF*d38DH1YeXqjyr^@b
z`o5u`KB0QkP_+}GdJApqQ6hv&qNGWvWQkI!Wa)5Z;(HPj{T)m=^rd(V|C#}@F&X|Y
zVU71qIdG<|F{g6oPmW-TnT+r!XFSh*>WWx?sX0EHb$`=+`qjLiyn^FzW{oI0o)>k_
z@w*KD^l|*%hN_)#{21ESqeO7LL`f6J%MvBW%hHX}sqe9TjF-Uk^sRV2e}e(FO+2qP
za=A{klM(hX!tszy#}OS5?_^cYPP5%pR;^wsO0QY@TcVZiL(WDRx(LbeVZy7yzU_0H
zof`86Af2+RFtmwK8dx_L5mT^8)10`jN|7!TWIlimf;{v1^fz0970)~A;CnF0@!lJ~(iBPY3nPPH6^~H$)S_{>G<1&tte=pvU7KD>8=?2sijY0N&`!bHPWfx)&
zdt-<$eAwE#hUtmFHjIs?FQF$$^e(ZUaIa$s$#Q=N(Vy6-Uyo52g?3nvswV9a|7znl
z@8ZQYck`xe9Nt4D7fs`wi0*XoV%Ol;tUiLFe+IoaM8mGKRFnjfvNHlw#8UJwL)93H
zsOeV6J!m@;r{2ao0VSeb;>pq>4l0EimVf@*hQ8G
z*&vKjiGmQjgzJG_sKt2fa@>HXCU(*4Vt3s?5}{S0j!DC{KtIl$<){@IdFSng2@>Z7GWhxefUgM6J
zSVFFjMFuo1cHQK8UL`lHotq}Dc}2X4t97>ST&PEGwN$U9VXMA{FuTARNY^VBtc;W5
z`J}VVeUi@=t;VFYv})CAIEAP-oI&J$!(JYFj&SHe3+fCmjJ!XUuOsfrlMOM;FQ0UJ
z=2+?-#1FvxJvgwm;IL3A<3}I=OcHG$$Io8zvtG&LS3k14C1;Qdj!N;lF7&H%rs1rd
zEtP7;QqA%e?qA^a!xOUxr?lj0iYwH>lL1N#R!$CEq(d0V*#6l7{dXgj;on$(n
zs#2&Fd{Mk0A1td_AJCn`;@=wu;
z4Qe17LIGds!G(jgMT2TQ?hNFL@M1_>#WZr273UgGPrWv~<@PPr9R3~(7A7qUqmsGK^5?@1R^wxVFDw$OtM_D
zW^<>pVQ~gh^;#+EJ#rT2z*PO2dZC<@j0eQB2Z*d@RS;8+8eGnv0K3I1k>7h%u3Gg>
zDS5g;EVTmZDG_S|dl~Od#wF=mlI0?2EV?|2)MVs7f`N!$cDn+Ry~SCE!64UQk%z7V
z*NAFK3gTLA9BViOWviUTm@J4=nvHiEJ()@2)5P0Of)XWFMLwzW8DuXjvXoNDIXH@%
z)zOBtn%5XK~LPj$PPQzJ>=UZ;tx*cd4sLZBApP?t-XIQEw`b-VM>8c|+t2WC%
zldTo<_(V@FH3JdI)Uu8JOP%##s6tZ8mh65K$37tMIp=EDn;cSJRmgw`z9k%Gz{q`-
z)G7HBg14f228WfWlUbx#%u|}h2F_5BW~<>Ws}|r9l{`_0_*U`eRqQwanar2cDS^TD
z$ma-20hPE|fnub8l6d=gy^PKbK=;&gHK2!!`#CU4DNQlOJo#Tq8lhUB3D#R-A*@LT
zB6$Yi%34+pt*uVyOR3{Ys{os16227`i)n<%okdphWCK@ixKl|Pmc_h;DiZhFZ79=0EXeA?3h
z+1=S)_6K1{v5yh>2BsqWH3A2z#sPr3(?f64u_Lv^-<{0vo@B30vR5Wq^~riRK^0iL
z%d)$&n^~jC^E#XDahC7_dD^>6oc>*lce06NjqI$Pk=!g??M05pYx`@M0IhO9bxk1~^FI_m=`(
zAn;#30B;l6(+9ARz|+eBK0)9+{Q&<-U}8DIB!Pv40Nn(hUkUI6ffcI&RulLDffRus
zuLf9jHNg3I1AK(Qx7GlBo507{0(^?V4c7n+6Zrf(fIlN}ehA=q2vpVsoFb6D7N9`j
ziT40JN#JY(;5>m3TnCUMaPRd169hKj0I-d~sv7~;68I5;1vdfwD}nD2_`90{ULo*>
z4FJy*_~bCa9}@WOjR5BeE}icMur54d6Ngi*E<$
zA@E%S-y?AG4uEeHcm-LL?bisL+X3(dffG9cP7+|^L?%pTue4vB2*)VRx)Q)DL=u9Z
zNdi@y@(S6McgUt7xHbjJwdqQ(O;>iAvS2G*wxHFHlUBTu#yJn>#K5w=?)3X-DW*94
z(>W}{XjXzUM=y)YIc{z{B6aU?J|~zgO>+{6{6=zkb+7ot4sx<1TC1
W@~TfhW}EQd3>lV$4TkUcM*bhD@l$~S

diff --git a/docs/build/html/.doctrees/classes/spatialpy.stochss.doctree b/docs/build/html/.doctrees/classes/spatialpy.stochss.doctree
index f269045d595f389f8795fc7c9a6e15983afd05c2..7bb1d6ca14abe6cb21b84eb0911a4574198d4746 100644
GIT binary patch
literal 13763
zcmeHOZHygN8Qy;E$GyAVZ3|SPtqu|BZS3x1fkcZ4Wocn;dueuCuu(FZd*|FeGo3qg
zosaFVgam&eZ9LH*j3Fi_BH@RBjWHp{#Q4h)g&-!zAI3yY41xp`#D7Mg_ni5U7IsZ)AdXi#A3qqno*m%Vf;*d
z`0Mc#aZOZw<5J*7ev`#w1U;JEa!jAO@nf-=rtYET1aryw@qjf$%X72ge3Xyz@yFsC
zuZYpm3LRE>C2kBlMravMXMHXRy(SL=tz$GV8Y?WOK^U|199tt|hIM@^mXu%>^c
z0BvE+_lSy~F~fI=v4n@Z*y&g}+GjH#)o^J@Lck
zbQft>pc&fP^^kk6c1LPQw3g>Vnr<_pKEkYPE&K+R@uT^Equ6A4iXBIY}m4WscW@
z4VX(IdhHOLZ4vGQ5zgk3Z^QI`IDnHP834MNS;`-sY9Ua=Pqc##mU8U^%Kj>+R2BPwBy>@<4flj7tWtPz61;`oqc%u#GIxrL%%>sbyEl-
z!`1eDMs~^|7b~?OA4%SG9DNgjxUzK|Rr=!S=?mEG0rc&d8aGxMHhq&>tI)QgHDTbp
z_B3;uZ#ddn+P6*ZwAEy8z^aDh;V2{2K)1PJfw~u4n(Ku}v;b=VJP*UpvHAH+moCk%
zxY3;Fugqf>njx6~g3@h`?-SNlBPh;9dNmh?7M?9Cj}CTt(F{&IE*R;hgO7>>!vvOY
zh2fnt2H|7v=g$|H9qjXpF_07aR?J@@XXrU17{|vxu^n2)
zhDrAdvtCFKr7d}ZV*#8eT%^QZ$_cI=)@rbM%G2A>qdE+ya3gPUPE8#5bqdw30lw@`
zTp61MouxOu5!?&$Mh`69iNeV5((9cG&7hV!N8qM~{GPh!vLo1f=9SRT%gr0IlwxKRJu@{+;QW3taB5-_OwM+IUZO|rBJ$)#PCm2Z
zWlB`m+RibMNf+q}48hfKmB~BS?*NI{)GFfX58C6-bWe9fh`b_2UY7S*iV(V{?-S``
zx8&X$Cb=8=Eg=5I1qtdp&|S2QG68d
z-|3Azy|5<|vvH+eAHd6MhR#D?=OoA_w+9
zydFfkhIbN9d!*h-a&#{;LeDQsdD}hd`uNtp_?<%+7u&pEsU4*u`|V`yiWsw88T%>N
zjh$qB(lymX_p&F3FN+=DG9o9`R}Cj(-6V+Xf~Z4L3O#5We)!eMqd3zQ(&s{vvcc!Z
zM*6&Iu+8kJ;OqN!PnqxkvRfGXP+<%Oz?U%;aJ&N_861abyFGlRd-1vlYKgj&l^!Ur
zG%C-Ll-1;^o43b@uXwh+;>Oxlglt8-8}{Y@?y-fSLq%~BD4koi*rg^;)>zD>Uv6>iDnKJu*4LQh+!s5UNz7{AJVoKqBZ=MQ%@fw^0AJC87RP3H2ZNfH2`NX@7q58Lf2k)7zrkfqvviCyApi^PbWBzGeY_
z%5)VhSD!?RjS+82J_lbu$tJ$3MDn`qYX2P{>3Ny#iyRb3Tb3hl9uf_q5A;(M!js`I
z<)9;ykzA
zckXZz{z-ME!z5}9pY_+O>r0!M^_Qw^dc^XBJswrBU9x{H2Puz79c;Mwcau~T+dJzB
zTC^fpW%o<&m+7?)%Z=@CL7rk9E?T(WVX^&fdX#tj!t=Q6sT3&PgZQr`L?|HELu-w%
z6arPVi51H}m3f=Ro`81>e=y;!FeEK0NIy#%U?aUW6CLHmG$m_Gx%OgWdIpCMmZh_m
z+``P)=xNW8Y`;MJVZZ%6eGI%pmmN416WHI+M#z-;Zcz4~!iJoQ8#>iWiMVJd*2JaB&aT|0@?#1LOQ1m~#zg+lGmGYs|%{FG5k
z*N&@>jlxdpg2^?QGfnVv4N{&1=T!xqSGEcq`(+v-)4rLh>C)#%GW(ez;v>m>j;TK?
zO#R`#VhSnX{+RlI7Py9#$yH1}LlJM3w8(#uUUUEFsbBk@(prOk^DO&ozl$;C89tZL
z3M14%2i(I+x9{BNa7=9+GQkBr=EG|C&#<_dNj$R5$;_SH#P~=JqVLL;17PJ4KD^FySUOxcmr7cAJ=PMm|;R>RD~>RNA6ybj3u#!VuYR
zlqT;%Kv~rqw-Bm=+ik{T>=DYk1bNtMrY6T7I;*^S!z8tQb~Fy%VS0xEtSwmwwaiUFN+lAtFa+(04h8yAq*N91^E|$97bti|bIn{phuu?x+F79VZ_tQPM=Z&3Bpgzzr&1OR7lPKNK9s$ukw5xy|cLhLnthN=#XLcVF
z(;e2)Arw`FL(EK3OTz%|v^j)EwKzdiz0{Evwz7Z;<*oDR8O+Dx1{xs=!3Z6}Y^W)e
zg$}GUd+Y6YLax((t65rxTJmLXOP9f>H3+&FnLlT-u%#CBn)5ttJ6Nm|8V&3w6WQuh
z6XGDS+19gdnlYjyMvPjED`I!B?uN#i&QY!FP{nSH-vCgwTTIEste#|MFC&$fCu()a
zYZ{4&4>mdS3Qed{?K?3GIPogvEN=qP?c?Fjui;j-A1{M-U)by~`<
zT@gE&yGlQA5EIItU;_h-2)bC<9igr=dlET&Kn<`J!mI)}$Yj&6AjICTR?4u*X3W;g
z9;ir)ek+0QFL@x0l*y@Lwb<)Sm)E@+TK^M4d0x
zW#_u=SdaM4_(g)6XNup)XXPXa60IO#GM1z!^CW%}7temhu#%l)X^019_W@4R_%hBN
z`za#tLs+5w5`RsKNcsfQ1+c#XQd766#HH-8DMmlot9T@K6}P5@%&w+|4NjN?j8qF*
z;%^$#%Q!dVQ%e>s{%Zv68MT2kq^eABU^u9M
zoO{mkJSKCCLIsP7>>p~6{UfMF5&wxIh<^kTr1+o@5dTRjNVS&wqZa>&_^rLq>ptdH
zOKPZr$-QTv{aAagZ>_!dTI)VJ^38ADKP3N&>CoqvyEbc>rt6t3OvJe9HRCpOqvYx2
z$d{5YCN)tBjH{s+2ThiUA@pc+%P|AyCXXj#in>RZ6V9gN$3oVOEYHn{^ASGE#~x2=
zydp*-D{@%rmAEbRjmR<_zcU*~UXzER<{Ql`#tKVl5XS6UW@|*uMqQsuB&AsD7BT7@
zpe;)HUOvosiqVwvy4dAdE=%fh!w^*?iUO+V|I47fa_c;
zn(Q+rVb<>)CwyZQ?uzEMHm4aN8wRf`q5_>YRszH4C4Pw?E@gV7S)pcV7djF5T~YQ-Uj%^2pYGFh4*
zcnycO!|F-T?*!HgkF?s!BigZh?)`)|gO6j!w1Om)tun{+SrE=9Xaq6(Xo`$p`G$Dzl3RymYb0B0ybZOFrL^JYEzD}#666bnRJVi>GF5FaU}TvLa+flj@t)j!fupYi
z5ZAVkqsl-WedRKgJ%qd+Q{%=egVHydwF+q)S`#L{OQ)I30>jZRklr@6b5@hNA*&jW
zhr^3d1KAda1>!!_(p)b(s)Z2yCwUb4$LHp*UcEZI;>NRHurh~PXohg^Atl=yKOn3d
zMo^No^hPcUDLhja9v$WIjTszpTo$qm1RoKHHey(&3LAIIHwZuKAb+;(oM!H5=FN&x
z5D^Df!oNpu&Uc7R92y724#*~-M?UrLfUWDF(M&k~q#2vSFzGm9)=y_g(YE}%(GX4&
zu0rBt%Dt@}(Q2@C%7@$3b26?NNo9AnA>8cnMh`9A
zZ=yKplIHy>&7hV!N8ye|{K2~CvZGKq^mX;rLDXf32TvJJ$c{)U*RbTIoS1H$ba5(y
zQXMA9m=n=b#Jb6Wv&#Zh+5|y>Ka~x#SRd^gj
zLKdttd3*W;An~GFMRabwFP%%9?s;HxMKZaU!=o7{=xTjHWRKmvdVM2ajT5gFqsD28
zejf2x`Cmv^UMm>F|0=JaAZwo_i@g0ddFb$%iZ}zz#L?{_DhHH8YCdThQX_Ig1)Cuy
zT7tCR%b0S%10sFuVvAiJ9vbR3I%3#Oj50v5aeEvc`9XWvfd1vKDWB{evOE8G+^~1z
zYi3R8PL!&Z+NfPAzs3D9;+Z?j`RVu%sCF`Z;tjI)X##iWMW@R7r819>`w=6?u{eGp0on$CZ+JpYKa{@J$Dr|x|`F=(Chz3Xf)KehaJ
z}WQTVVeJ(ZS93;2PehH-Xo|)w{
zkTCgz;`Hz7LjeLq3d$Rv+3BMXuO}Kn6N?7#jB*VX+Ouv&tldAn2p>I~`<%*I)n;Z&
zpnjAb-0A?FA@-0#%q-zfnR%R{Qw|o!^%96rrq!~V$u+nSo#UyR+CRcrxT~GxN*C+I_BR#V|1PJ6FF2yT^5oN6&xxMDC7(A<
z(`=h3`98#dGYil})RdL6WVr^UGc1gFUGA>i-|xlWYl;!C%C7d`@R6O3sg@LAIo7fq
zc}tKei2~>X#R)tapi-_iVh!o#hwgIBQHZerQJNNpFr6k7ebJEfN~+K8J2qAydnYE>_m1WLEEmz+AW)e(>Zt+G9-9h6kRV^Vu~ke@{oYxyu&dzNP72EWXiCq;X1lRa)K+S40~Hh+89RyUcGC$>BU
z!liY#C)|ZiHcqywOC>kda{JFpdtZ^-yD?;5R$b|!i5nZw`diiYxh>54Yt=P7borq^
zud3fR**}qkl-HvUJ>1&6Nveq*eg{E@R_v;LdXEccdTqmU6Z>o6rx=5q7Il1<*k7kd
zc{49PkGY;oM$&DE|3(Uo0$6>t)_AKFSei*KS^lX^+)R3`uq^CW8j>aPv(KJftdT|N
zh>qSAF{Mp=vfkws@iYz|IL37Dl53cIAARjPlIf#sQktpp
zy?F>OaQZ8S(_iMO+v;WG2B4v&4PC&v3A2|eLT*CJ3#h!Lpz^|Yp<+KzBV+fQ$)Nc_g-M?Wre9fyqF7FCiP6uI^-wNrVj((gna==xWhyt0+wO`IJTQ_VP_
z%2z$Fc%95zROPD}4_Oo;?~F3vy?Nbk3jr!P)Mg?^AET^ESOlx4>!PwE>m(=%ga=eG
zu`n{)J{~62G6=xASMXR(ALGEm({99Jb*hx5w^(k3Y8!E#+1K*C2={DOdUVB!SAn*d6qvXs%L>hv_-Vjt5)2K}9o@GSNl8D1S
zZ+fP%PwWJwr_{U!4cX{J-7k6ui#@c55RBqrkt1{2yB)(_iBWY8j#D;c2dcZpEhwMy
z0#i4c4}4%5Do(A7QK(Q02?B7$GIb=uTh_Bn?IoG)D>pAeiSlM6!
zbAgM(08BG2Tfkj6B=Hwbe#m0e(~)yWuRV183>oe+#Yl;gCenRYXeo$J>!=+wP{oOj
zq*RV&3c>Fdlh_REKvB|w!aYp7JME@ZNKTf0Px;K(u_sl-LbOa$OT)m@gl(ZwDNC3Z
z|M;>bRo4HY9&`>p!?{H4rx7$GjnEN+2A3mQF~IzpkKA)V*fJHgnmx-uLC4r({fu7b*BIO$ReQRyu05X)^0EpD%rtW
zoFQR$UF>f?=6kUa
zP!ZvW4B!oN$n>iKv9GI@@*uJqv$gUEDm0?s4xsxOHLCA5`w;Zgz77BJ6Z~QO+c<#i
zZ_$6ZQu|)~7mEt@ryz~|34$C^=O^m2b6s{sBv(VdzM5x}Kg^HHNf5YcA-^%2rVNXu
zc^a?IYy4aJ36zChP?R3x989j^#IV0i+-xr$Aihxb*BxcG%L^
zZuIpy7Q4$jC}FX?Y2k<=TmdSoh3sV3PvNiJqWa+nDA2@q!*g=AmR)b{Y0P_9x@N3o
ztI9$9y5`4`7esW%?(dx|eKRDgu;NWrEJKGAG12spX_G-noaAFC)ApwU`lpgbm@-t}
iz&JuZLL4A!!Q7a4HBaQtQWvWxoiC{=CbuVU%>D;(hXfJ;

diff --git a/docs/build/html/.doctrees/environment.pickle b/docs/build/html/.doctrees/environment.pickle
index 4cc145587402db263ae760cb8c88a89995ca84e7..2783c515379a09035130a1fab3a2407c4e822e79 100644
GIT binary patch
delta 64054
zcmd3P34B!5)wplwP4WM5vwlF2sNR|t#jgn_WA)qu$)nUEQhnPC=45FKc>mKp_o
z!Rvw|b*USOwKWwLm$qt^Dtupys34%I)w*Eq*VbC=|D1c@ItfT@>+jF+$IE+nIrnV$
z+;h)e=Drs)Up|=0Z!+zevz=d*J)`U*pWW*#>+lZPT;4#R&puE#+ua%Hv%CDh?QLb*
z#pf#U$n6`AS%qb8kH4(P-DmIc+Six$Iy%Zc1O6VjtIE>wXcM1mvke$#Fwo}r+FZU~o8RGf`G&R(hD&9J9$gy#H>2^(o-f7b=**}u7hgNn)6$a-
zpPuOC`S>{)Yxe{?+InrS)dAaT`%q724^57v$&l6S@b%ceLp^!g^iH>D!0TAu;~(nD
z1z-oGg+f{@n%44l_SpOEL(UlPf(ux!2$~*nbU~sxKBkNNQrr+TpW7$?D(2!eO?v^K
zz0Kk3viA@D2*6gvriL*X;$ro6P3$D@%SX4zrtw_iqYsRm%a!-sii9M{eCc&}Qbqs_
znh_&s1Q3BOJ-3RMq<#bZc`&IG{yh42(jIP{y}z?J&}DDylI8X2#_>LmTO^)Ixhpdb
z`0a3YyW2XwZlABsYwxyu?XFI{Z|Fyl-jF(E;AV*vGA6@wVa7ywx--(@xh2EWG|OD->+H4p
ze0E=%&jZ}G^?C*#y*0msn-qs_v^l!kJir!5|InZTm^>I`@9VI4wK@7gr$8aaFDGoy
zo805~dwh*$WnDJE4HUL>jooW;*!|rWw|8|Jpec$Ii@Dw6(-R95$NB7?sLX9XdvAAJ
zufw%Qe0Sn}?g7y43#nIx0g?ZxBMcI&=
zB(9nqBVJT6ag|>WW|qCT*XETv@C@j|W$+)KbG^1c`+B!`jjybQc5X|zoKki%7!d5l
zSXAHr#orY)iav9OIKf;bb`~ay|C|&pzFTM(Zz;&jnyGJDXE(${X0upPBtWI?$ZeEg
zK(n~WTp$(~Cy9dv7I9Zmk~pn6Mm$|uNQpw?fFPN;?|`ra#YJLAVKOCZqPY;6{f$Ir
zeWTbI#i$c9#n{fx1@Yp+;s_KYCs2Vpi(`!2oUe<2DsB%CGhT3kGtww7E1AgN!;RvV
zC0X1X;;kh!xVhq+C1$Q!)q=%O=l*@_`P@R_A)F3k=G1KdGM9pbrEDaJK+)NusJV=zgX>ito&u{&r0^^a`va4{s}lc;IC6^
z7HKqy(5TtEhPup}Zfj@)B3QPHr!hT5UnZ)?P3faFc{{w?jy>8cPzr)`Pb`AxI
zCS|&F0W`r>0tHO1k`q}^Es_(tL9LOKHb2ONkyUFu=ZcS%XO!s`Xf9M4jD*41-{$b!
z`-a4!5IqzBQC<@tQb(LtkrtA+M6_4rPQ`N075Jc>`USk5w^E3^YcqpLb4m#!c+U?>?RZ+9_dU5`?W-!cS15d|4y_5J>yfQPI;Vg!ZZav49z!Pl2(3aA;wu%Isyl{!cPg+&iUIbj?OXw0DYy
zF>TjaP?eaLYnv!;n`t8DYq`YWh+%%`SRiU?SM}_c^9Ql!Y{uZf!M`O<#lX8IO%tkE
zNB!0L-Vkqx(84I-0`CEAYAcEg9e<$ntYY|UwNf5hdCxp?-(`51R
zmR#|+*%D)ypFbT6WB)vRYG_w)84H-vIcgmXi0`ng&zPI137X89o6j_I{aDbIZRFgF
zP{#Sk0%ml^tsM)9?~rkuTawAw9~&aY_vR&lv6Mfj2+W5ZV#D@rW5HhHo5R+-~+QssnVdC8jq)we9=I%@lVeHdmAxANp)uD`iax7p*XYAu+
z0r4Fw=%E?O;>lfM;^ob#pXyhHG^oEb7Q7`6o@}lR<>1M&fEk^G$HxNVJLF)gwMb(d
zORdGsHin0d-5a{s+8D|>ek@={XB;;c5H2l@|LWuq8XC+Nci)>L#xDtReB@+ld@ddf
z0g?`W+*By;yEl9k$I?6&Xj*Ql)4@sS4WjqEbSz0j8xM(cUMrYiD^9S*r&Z9>Oi2BYSRmCZMZdq|?|MiRo%;-$(8w-eYj>+E?&7|$?
zJ#{r8%3^Kb1mfHQ(dA>A%4)eG1w`p$;&&Agg_TLR4%H8sFh}j7v4{dKQ4lfyrai;ccFzd{+8=Fq
zjOtq7HJ09`<%TpS(hVHPC
zJ1n70`~6tJjLx*fV*zoN84hFGIZg5CmROzPFhlW8AkIC*Sv?j~wA_%aIo(HiHfv6I
zlQsXR%(-S)q79ctoJ07ayMYoS=>C&)?@VNczKLCwM&=a+k+^R%__4I13<
z>=ASNZGCX^K;2ApAzh(U)0skEG8PgfX0GbV3AI%##sX$^W-c8Ii0_t}3Crvrx7Y7*
ztriyed;wtUGTnOe$b81!E5<^S#N78CBliCFj|I%=%nghM#J6MaxAJ=d+re1*q!c^5
zbIp)d-A5mq$@sc!EYwJR^{<%_sJoFae4+Phe~u{S&8NZdQhU-L{CXH
z^UfpUfM=F~C04=73hn0e3ofwJ0~7%BdGVMhs|qvWj1N72v5js~SHC#WcJ=Fdpc%i8
zh{bD{bH~Ks+VR{);*PcRxdid8wf4&gO%;|}I4uHA4yO4$aBQyM(&g^6Ib1$VXAhi{
zwEOIEfG%u
z`+C9Q5~P{}ZPqg6heJZn1(6qAFgnm;XEWqEt?>Ak5HbdXBk+o8p1lGN3s}|$?A`%5
z%yC}mMRnQX&>tMOR4AV4ycm)D9wK*mwvsFO9B^7vB{TsU+$b#Q7S=Q^cDw8)BqNV6
z3PyFhU4Gy*j<9&r#V5GCg)Vr3b0&75MOe|}@ChCE9@{#H+bh7k+P+|Obw#ar^!7r&
zfX67;*}IUp%R3z{1HjpOOL>U^r%MG&U|R>Aoo(~D;Y4H9^Vh!3TU%n0%+OU_dVM$`L*P>4gY620w!Ae>vP>^^ap
z_ri(g$dVJ#f1DNYrkr!aiPK_d4J0jg){6Igs|)MtdjoyqfVSA#2=7~*Q{V}9p^5&1
zZT>68Fkc>=r!f1bL}9;#j%{|{DE9f@;cgX|`gd?Qiqr1R5;wgSE=C2+VYfoP!FrOn
zlS>kt1D8RWdjlSp+CUE9%#9b%9M2SkZ$*eJ*407o;5rvT_;TGv2yOiucs{k>2PqZ(
z3*h~V{^js|wSP5(P$M4SBZz1EQ^od25=eU-7f0rmadG0VfpAu!R-C>!j~4jHRXOBf
z6c-=SbM0b3*sEK`^bLIg>)H)#SkY;s?coXHw$0h%oA*hu9*pM3spZ{QT)|4tB6$sl
zOfh;RVz+*ylsc7s7Q-crO^+ne_O95+fQaiK$%0~Que7ns_2S2mOrRyCW)j6IKTC!Z
z3$F6P^Qo)W!m})hsNEjygeSM@2drkL*!=TsTJylBa>)2}Q-Ed6BncUYWbvxaJraK6
zlJ94Vcl?4OQnN7!z9+D(DI)inK#6odBjLAXvx&T1%|)t&e(?RZ!0^@|SfP>of6ywo
zZXHe+5B(s5JesZE_
zA7e(vbvwdtL~YHwaeb;NY&VI2ylyh2#}6)nXWQVF@H{?16vU
zL%O*B#U$FqL!^lnYa+Y1LHe5Cj-%<8o2Njd&YMxCj@-Nsp4MAX)gHbDIgod27if;_
zr&+jLF-m;s)h2Lgj!pucsT6RW=m)$0nDi)g#=ZU2|BgIE=D*#EB<&mqB{MPtba<`AG{rpZv*ecyf2mhv&ilSz`BHQ{nBdyDo(1dv`5_
zXT{x^x8ZIq_w?P1;2Cod)?9VZTzKAn50?4#p2a}tw0oQ3{m1uSA`8rRv;=n}i5Wj#
zPT9N!vJd>U4W2poVJFympJaHZiji;Tk!=%l1>P1uv=p8@AG#Ete|=~s!%q-5
z_2-H!_vAt1ReLb&=pIy!#=U4Q@7RlY{%h|lc&>aH+4<7Ll1Qe?W;;o2-L}WX;SkqQpJczGFftsY|k&2q~8sPC&S%}#`t!^KyA9xpck0yW{PUm%PB
z`3tFBnfS@~^PorpiK>B4{mf(7-iwdb!1G^^;fOeY_!4;DIgCO&GmK<&cO{Ey|C?~*
z%N5IN-Oo(#
z?fX$I2lr#cDNoE{#U|qg6yl*L(;{qszt__aV
zTvVjs@wz>BuYW+?eRGny@5yk|+`vUX#(FLiYF
zD^)dwbH^A4ST)uHh19nFPcD(v4d)!xDexRf5I=izBI@E(*a5G43R!&mDaoOzBZoHe
zDdMUF-(wXg(ev9VQiajCgX}R?X$D!FYjt^EsW172VIJ$d+m4wgQ@$xm(J6>$&kPuaekqHzbKMzd{pv`L860
zq)a@pJ)hRN{P`3y;n%6Gutl`om`9UW{The7AOG6HXsLklNZkHhIXECV#H{=c8n0)5
zgWNPfkMD!eBN-n(FY&aP4r@sG4bP^CH@<-0%DpdiFdtw7_yC)qo*-7en8%uJlE(fd
z+O*|n$|~{U7bmgo2H6+L7svk=eShn3aeR38x7cLfOHOzWzJwO^?Uzun^Ixul=f;=O
z(j9!cRT2i=orKCj%IAUrmK>~P3JO=ixck=F2Yh11L9>|o`vlC7$&^!d@-D_3AXveF
zy_^+Czmx*vjNjo9bL;O`OMZ^WEpFbbG#7;q4}~o*ekB?TUiJzizyB3PSa=nMe-(Wm
zdld&+^Pwq>^fJON07rGxwdo=`gwFhnhfrzi52I!M{$U)?P9N@MWsAjEcV?1p3&Co8
z{-=tim5NQbXS1|~|A`VC|By(QEaVc^0k`6A90Vo-oN50%ht;u&);k1pXdxFSmj59N
zn35+xbcf`nS;VLGd8j4xf8WMxf;+GyN3Hqh?~7QEDwVw%Ij@EZ#p3C8i%WiAD&F>o
z5|&bmDNA3-k_+aMI~Reb3rDcSn2#Wfzkj5LwN@cH?CIjiM{qYuJx3E8d
z^j14OttaM2;f_pchJE`9?2z2aAUrppybGR_PCdn-w2DvssZwk?T`bOd8+p0w?Wf?m
z>Yc~onR@zZc)oTT-?zVu?@Qk!@ciJt+u?cb`@7&-@W)$OznQxZF0g`;+b-JPn<2)3
zfZpSZ4{m4TUbNof?-4(KDNS_0S1C??znXkKH4M%%H-$y1inr}UX#%*MJlha9Nv!_U
zW`Ob7pMJ$Ky--~GsYRUeQH=P;nJDpBAK}D{|M+^=`mA*hpTpm_#0#w#D20xFj9y93
zC)dLB-cRm<=b}%MfYYDe56>IU+!amDatqw8;j@cd-!B)1Guh&&|5s1Sr-y}!FMO5&
z#g2Y<8$-ZKS%oE{{xUt*;acKR`+D-{yP@b~pCd~y{>$yG!V)p-boGvQt`)jlScJIk
z|4?Ob{=YlM?Rb1T+{gz1Fb*m-tQ>j
zKr42<%>977l`P@7ApCii<3w4s8s?I(d%&Cg=ij5qJ_9$Kdikj&#>mw(Nf#}5_pT#0
zj?2Xzg<-^JKX0MY-yhLf
z_7)n--a=#5TLL}#%@+iEUciFW$&@f|Y8b}0okQfxFs>%^P%OlJX2tML8;LDiAtfQI4xRxW$2|`0{Lnu
z7n`WfeT1S&5+b?k7!684CoPfO3~kCV*%`?djnkCb&#Jx_$(gkXJrzk-)o}s~ur)?;
z(OM|akfl-FbZzlpMG_&O%VWhM=9Zw%d_IzRCPoXn9kPi%`^{30atecw~}lFXRJT1_Oc$Lba2w92DIF)J9Yqx5~1M_JnDK8z&p=@P_o
z>)dc$MZZkfp2lPZ=DIC`M`PeXY_PM_xx3bS6fXcA@$9!wl}%CDaY^|&eJ_fL
zA`6{dCOMhKnbeSE+tm>|E=ETwLQ_j6&g|8*EiQ_jnh*EZDUnUfHPJev#*q^_T)vz?
zE?&p<Eju!3y$iKT*-@lrF4!PA`<qQR4gUOLXp?W+fM3FC(xCL5xlcUJeWPMU$6!~c~w^&=MB#I1==PJeNKTg#{EQ=!X
zDO?3+kaD|0rv#O>QnMCL4K3cHO{$L~y(ye|yheMb$fRr`WsTtf3frUgc6b_zgDy@(
zp$7(2b>f^EMY|KttGhl?C!^V9cPYpSBB<#wIfGkAaeYz8#CcIx;FXd}7#G&za1Way1@2Pw5kjuL%2m0uPzttPmtw>Ijw*HNj%}_X&{CyUuq=os>+T>ZFro7Tt)+rvcnt?@c;-4Vq+k^73kSHN)jc&)T|%N>&B&Erz&
z;eYb5px4K{$qNEktaTH9s+i?;2(5>h#0S9cM1n!J?99<=>mH_9mYpf&={&tk?n7Bj
zgah*9#=Bf@xXl)BJJwi@N0Iy)+OGLn6uCVTZRM`83|-O3WqQ!l6NNhj9WS1gZ2iey
zaU^nrUTvR79fU=ZU2&QAe%zSW2KVr;^RLl?e-06yrWMU^n2kTVD?>-@i&(H)Y`Zg3
zm;AEQ2-!GM-~KCDqg-s*tv57>QH^!V@OxsO#8qm=@fs7ynn`;1?hP_LiJPZI_Be@}
z%+1uMoFumtaMc9XxpaN_9dhqvu31~~J@VCLJ@^mEf&#sn`Uru|($@ME8>}W-W-eBn
z{AW^Q*1KH)hqzXg{bqev_&a&s%w4Fh`X#nnO9e?eWvwM0ZkMoiwROWtqtn*h
zXmV9L;49-pUMo}44H!_dUG|I83ADxC_$dQ
zLGRfXN0Vtwp>JZ|p({C)et@?yvHY`?%hA$U5lv27pi=Ih=tN7OO+Q#xleoFiHFNgp
z2mLw*>Y0TwOKRU6rssAe1z4$VqbXYT2g!^wE=8*@GsvlGu8>?;rq`=kWM3sDAA(H<
zT2OPN$*FmO?xwvF;(~|u{^A0%b}C?tS;D?Ban%)3Iuo!+o1LIDPfMc7D{&NRI0>Dl
zEF&D?2dh)bI%pS>iYmY_SfQupdt`S7SD~e^l{R}*C6}(H<8nz>m>oi?wdlQ#>v`Lm
zuHRS7?@SMdx`%`rcxeK|M5A_nnw!8Gax>wUh_dOY=HwE{Td+NC|t?{`ZjnB2DxRDbQ
z>GGi#kB5luLNMrmoD1C@7ROSQ4(wE;o4TLV2
zpQKqA)Ykc(zRsz+QXN>y)6G5(k+&PTdMz=BkeFvFF`uPL#NhhhS%~>xeM7=LwV{Yy
zx@4$D>xjN|MGY+-qhtN+WK|p
zylB!gg$vW#s<)+q0}6OwC4~IfmKfdESVP0KX726S+p5<
z6Bn(e{ws-k2@SFN*+|_0ctH$_#}EjDKGUT48I9!RJO=vgv+A%IQl5nl4_igmPlO_4
zSm2RnzV%$3uH~2*oa^g25Ko$xqLT%%$niG~Izkd-Fc4R-rEPo+^DYie*M|txDC7c?
zJA+Hsmd}hKGiGp&+N2x`l@^T<_x(m6&B~+Yi^<<+=zX|}tdbb_Jl)6@sRdXNLmsK5
z{M365MKUj=Qb(OTmnw3IN*OIiP_EJ%P3Bz4C1hwiPgM*kow~n*>@I>n2NF&62J|7B
z+8CTL>*A~pG32ugIbB$6D$qSkKl_`mkQF9IzoZxBg%Z2}HcQX$IWZ({wmu*}p9+{N
z+osw2e%u^GcFpEWwW__CJi8QzpO0sA*;*DajUlOXxFW4VTM7(t`o^Jk&ID~v?u3y_
zKlZMO!BAgm68`RwZj`u0Vl2d&VOI?=L)oPxPqLVub+ZnMT!=1C0e_;8C6iSd(XCTse~?`
zzj|1|*l;!NIbbbdWu3gbK;NydWnF+~rdn*Hg(ZGW&NOoqaot@PzPX;b7V0V4#wdY_
zN?N$oQOMR65N>%9_Q;V#&0M&6=zsNUd=pcIo0_?laiKwoTd>_y^58zBZe-m_J2isS
znf6^+TIZ|(L{hSrMO>zqv-e=hLR^^F&2{dhnw7`!^c;zbkadE@eh*k1W7RLG>}A9*
zv~q=7Wqc%tMuo_oRxVdzg5^>GaNNq}Y0(&F0CE>|6ST?uSu)J$6U4no!}Z$p6#3C&
zZngsVk;?$?hl{x!Er4Gsh$YZH0s8sk^AdirTR_F{cq_npa*5ucAB<5KAIP>A*loV`
zjcAoATUSDza+pTSd8Pz?fc1Z?@}&Y%Z*dWjXG`0X~v)QW!xlf^7}Wf;F8JZ%eaZ!
z)DLMY>Mz~nfGe2V?2l>oAD8Jxc!s9J)IWhtS+1|}Ik{*#SCpt3Mm|R?x;T++U(S_i
zLI0HkIlf%)czgk=4boJCUc2=bRzFM@uHdFgmVqW;0Lv({Whl3C#js~0Pf-L~!Wc`w
zSiyBklA%dqvBY_iJ}EMmym=94*OrQjCFPfJtCD8HVHnw{)9UfDcWOb5rzN|!NoldnRcvHkrt(*8YVVof1rlD(_BTF6rTQ<|JZj&?$F%jpEN
zXE*E`yp?O!l2{c>+^yVdZBlJ4d8btgzR`*ev1H0h&Z;dnH5Qk3v&866
z({KDFMc2&qSn|nAZlSjHg|TGLD()g}(j3a%W!j|qu_Wwru2sv0W|GjuEu@=C$WxcY
zR!63#6syIt92?-wsx*1iEcoVEGjL3
zNi6xQjk`qK$Yr$b#af(JA^TerN9bBR;@SeEmQK|=DVCRNVRlorR%nwPwA2#O{Wm3O
zO)=_4t!YV^vsS0oZkjr79{iY%h96!=EhNv;r3bLIuC;!tAAM&TDq&p`FkwADoMBL
zN6kGEk{iU0JZkozL$YxXjhg#aNG@)ZQFGhl^bO;t1vU2vA-TAk54k}J>w818afMv1
zTpF(jjmvdvZgog5F3YL8%^|tCG^XYTy&>7Sh@@uk3CYD}6E*jjA-TBzq2|68l8Z|U
zYVOKJN>UKzM3oLlYBhU02vCwD%|%sKa~Fr?qB5$vOVwOO9o5|L>2i%1I1i9g7YFOk
zWTA_j2!GrzF59pziQM4gO6F{b(u48vL#~=%gSCU|Ip2dVX841!F0l2zLxZLT^!HWi
zDdQd30_Hn!!Z(sczIJhwf+BpFo%+nd7^cy}*{kn@YS#|^aHs=*j5W*$Q^?MqA?H1i
z2tR{3D#+;Nw2;t(KRl}<6s=-(FWKwn(z%Doi*By0d>bN(4?LUdydA&pkiW1UsWHfV
z2)`a81s<+~9x#XFpzP!)l^}c}yW!6f67Xg2Y)Wz34%LHuG-0^^N0|cv6D+@M0(m=l^
zHdlZUW3=#xoSOjQ=48wXfUyhBJxad5i%T^jRRMA`g3BQdcXL?=;|)N;M~2~9KjnTK
z$N5OiW85#2+)d>I{1B~R6JQIh-vRLk3(5P)kVf2RIMeXwk8xcF;(DC>z(h~elTA;6
z=|1x)7eidn!K~qi{hXP6@i?R%+|T`ty_NqO_H6EXf-7L3o?mg}hrfP;Yd0k~dIlQl
z0$^kNJUjfZG8p7`vfv=Mg1qo7H=De55W)+4OAV33wa;<;J%k9g36K($?nld)wNu%XzB}
zlb|o$Tx}?dp(Xp8Jy0@9+#H0cA5HN#{{U0SxM*&C5ly+K`9?@d2xT(B!!9?}{9DK!
zPYxw;sQ`Lzjlmp;8P*uix`KnOOwsd5Ry-|iy_mBGFfE0=63eBra_c$kZJ3r%X2ft4
zS=#NK^#M$S{_Sc$c$&foU?A@OT2+
zXNJN00}@+j$Yh__7_7e}6?KMu_PO6+Jr1j8a_$L(^;5E`&QM6%ZvD()jWL3y3N{*Y
zSot`kwUQjGGvqJ^R2!{6C@`2RF1aGDf-xXqv_6DsVT?q{DhM=@ngu1}C|O!>NDV`S
zAW^{HDLccdJ(eU4X78zbLpsZ*jhSdRIRU7%R3;ZFIK9D;2Y+l0hWtzlI+WKmk@1*S
zWnz}w9v4iJ+eUrMW_XO?KZTMh+BRiLsC-&$K=a(*Xvl;=8yhJWcQhIbne|SnGo(pP
zFeN-X%uO*&jR9qxHqVfiit=pEY@Q69i;&F_@Q$pVXUK&z+vge5U`Tmjo?#+QQohz99z&y?@R(EX)9e=XDygW9aaZ(kuXpIe1tog%o!gqL8>w
zLlOLWveRIWqU6*!&jq#HZ8xL?l@VQrQpm0CGL$fD(AI1N5bzrX*X0<%THMfOn8;wy
zZytaQLEQY~G#T_Ms0Eed?6idjJFssPx!g{Lv&jxzJWB4c8?u;WG7&3GddrU3ldqsS
z%Sjc-U6*EX9wjro4HLtW>;PPS3_oHtd|kKUw`-X_%WbZP=HuvDJ4+k8VY2r^N&8w>?wO;8$x!Zn_9yOjO83;)DFu$#4Hb}g8~b|k
zbz1V%*A0b`nEr;L8vZPP1IRi;JZ~7#q1gV0p#c6o{)S-!{5k#xRUE^c^iRQ?w8;E7
zDd@nPhI}Y;^P7^nwLT6u42%v*I7#vT;7tl?+%a0L`k2AOdjH#;^%JyBiQ>#>lTZ@Z
z9HZzwe9Ryj$asS_1?^KRvCRN4?Fjkum|^l%WPvr$U^Qb_B4YyDHFe>JmMAh<8?Zzq
zD?!&oW=O`Vm6Ua;qvVDYvUSTOebcyXW;3=OqiXo^2?{Uvq#>KZ8;?tPsreMSWCjlu
z$?mtesUXp)rimZjm@XMJCIY$s)0r>~9wpD5qz#-nX~=@Fe}cG~$sAQEM@hvgLs}wj
zRV$ODr1g}ch+#ba7--v3vgedxVhb&p#L$Bak=p!@K0Dl`{m*GNgRft*Kdo43
zH>w{cFxrmC-L=CPJz~5vGDDiHqyiz)tT>$?p{9JaAJ_on&J)J0C|Ya+4$C6LKHQfrz48Z@+6i#Sg#uq0tA^=Z}q(48v0!jW&m_TL}8pBA-
zUyW(0x(b>$9e*`0;9_;T=8Hii)DsT!FFBEOD@~k%GZk
zNAlmn@LNdJ-;GsSa5ID*JY%=Z)+?};N?L4vkE64PeE;vpsXTs@1AjMG&Y;TJ*6Ubf
zFA;n_HjiB}yGr^B74%m0*aeq>TmB?a?5aAc0ilniePPV*P>N$92KG)kAZ8G7!F9Yo
z!H;*@VTi`w37|y-E4%?aiyp}P7llTk8ICst
zE^RJwhJ8@8!|m>sYJeP+M&T+zY^Y>Z)Q~m49D7ZVn9iAh~xySPh8#fX99C>%>4P#ZRET@b}nMK7eq%?v8-ZFW6SY
zWFG!@*;y17?mGm+Jpo8T1pqNfFuQ{`7>~U4l0i78q@ZQ|<@7C~X1%5g;s-^e%$zsnW`bO3K#?|Lw$vcQ>Q`GH|N?n+cCNK#th7n{8S6sJpr
z&|FX-NeAHKM7)f#tBvw&ggAp}6!4!;o_+Q%hs}kE!3~T+E=Uvaf*Dnq$Y`+3z#|1Q
zlxd%%i+0&>5M>Z`jmZ)(gk-n~LbpyV!nYMihr1sy&jDem=0SikrmqvY;zg|vBIh(}
zJrk~j8$eYnMY6qaxT&BQUOetz_iEbXkv8e-O(e~(W&*bqZBq#87!Vr!Y#43qZ*vI6
zf(xFD+8ph|dN7fISde8xay#HiyC>+Z7c>HNRH}*P6@btRq99XdL%kFnrCW?Eqwf~E@FEy7IUVq0&(PQ4-20vf%BF4PTZ4Pb9T
z6sY<+)II~w5JoXrHdN|x2V7m2;h`^$34F&)>E0%(kCiI_C}9*-qu}bIV){1>cu?Wf
zf5U(?#xfH!x{aQCZX?~U*avE*r68|trb+yIK8@V>g>mUzN=6^(EnavkcM8-tMaalz
z8(z~27L|&klyx^++Qn*;U0)beODVo=_+%EIIulSLl-+$LaC&#?B0f0?S9AnW7X_GC
zX%tJAylxzoV1gMq3rH>cu&Et=9O2vzZKMG1>IT`(@vzJ?d$f^WbK#$rf^qU?5DL{o-|f1z(_nkF+pGNh80
zOO4^=q><;zv@kw=9KzM%M>enElQK2c?CREep{YqIC5O#?5;;`Cha-f97;RB9vxuKW
z670MQE=c4f(kKlhngESx<9WCtjJd#PWy@&jAF48%GBovsCM_q-Wa;Nz(s&9Hb2J5`
zh7TF|o4K4B;9k+|$`nqaq~OjjGdjhj!feWHr1c>t+T{SZj0qmuIeJz3PBFE99IG#9
zkY{+lK3u|u%v=E6`=s6&ZiRbIB)Q1~U_#bNR&_P8eO~|&Hy0{XeQh;Lcqw%%o8++s
z!C69dkfvcVyO->K&y-BIn)t{}Y491X0_m&fQzwp2x^gX>N_zvNUCH?-?$Ls3^?FV9
zZ>lQuSFK&4XFLO-M;(QY9h+7vY$RXa8kQ5DPaT!gVQ>@)Fxw^>`4>b!LYPqod+eAk%r$;1F_>xegcp777jb`m#Kr%
z1OfI6$$ot>lL3~@?Og*dNmGT!6nb&4Hb0XuAP>~@
z(WLhbOlo#z@|TZ8E4Uo4*s+7t*$T#b6*==~V`{`4W-I+0G=1FCF7Oh(wL%a
zcn!ESBrl848V9a`9~Yd#j8e8#3^!%*YdPhPalxE#wYgvt08@*6CAH8(p3CMfFpWHu
z&CgoQ#t)}~tu!5e|m-N_SEgnar3N}yd1-D*yVWz-3z2r%P=ZJGNpxp!ElEZ}&{7tuo`0Jg0_tQ$n`_4y0+tU^wy
z*V4;;($NUuK|1a2?CyJ+En$o=BrlK8ULmmo@$=ga#&5pzZArPy~<@`dmKTv%*vd
z4Vqr`BSa?6ZeW-OFRM$4r$Gy;DOYA06-oU4l
z5B_9KAUXGO;pF;!z9C$SB$2Nh_{=29pdraC+{~tt-G4VG2LsZS%4_!rye>u0r05I%
zr2%ye!`8dHN(6@k924qVGV9oiQ>5}$B|>YZrLsh*v^1=Ok2PQzb%=W)@ZmQz0ARrE
zo~D91D_sR@A*e111!8}e%F3$R^4j`U3XE2vT&Sp8rQ&l=QUWfy)BIk+Pt%6VHap)#*ZQxUKq-Ad5O^Fhq!hVETMplX!F-rtDOjWhD0J((nK(HfY!U(SfRg!oJ!!wCj(g}0xZib
zjyDK{aE`EyFa%j5khiuPQ|YAMsbeIp7U6e@=#Xs01JJbhdHe%(iNwqbVyp5$^h;r8
zjogBwFr7w0({dIZpFu2(&-607jKc`SG=g39F~Fl1eCq
zOJ<;Cjl=>EV@j0D4D!hRd}IaI6B48YhigC{GCXF7Dh;V4VN>LRYQ8dB0oGJO
zXGh4)u)H?rIkMk3l6qfTuidrU-_t|`>f~58|JFD)k_=M_6g)X;gRtGn8a@f;HGR1J
z(BXC4x;oLKJ#JU@d^
zCim6yr_O6m;&gZ5Dh$NId+d1XfhzmAnUzQr7;wqIc~VjiUOldrp-H5RIp9dbf(?evaP@^6oh~;dVB8l4iG1(FY_=8x4!qI|vYh^im7uR7
z1yiZTkynIZ0K!$HAc97)Iv}tW!0%vjSGhdI^
zpW$J7I!_xpH=#c^Rt$?2_&a4IrY91|n1X2;wv3G)sD0o;OLI{c1%{qO1NE5awRJgQ
z5mK5QpoTJ&uA@_$ra>>qAlq3`)ME(Ogu+a-dicpYeup8P^(=_^HS)r+r;+b8fKSI9
z@$)i|U=Y9+2r-M0Mqx
z@qgvAWb`z(VVr=I3J@QnBSqJ&9yfMmG;UH{Ns7SO!GzF;F!)#?Eq)bfVrVo|bxp9T
zb41bVq7jY+hIB9H*A`)vNQ)TQdZiuQ{J}~OfNdeCI73nr9mwR>bFc=$1&o7~&O8sh
zLd}P~+KB!?O_0skcVSOLj6@~GMn;&EZ?F;QtSFru`ZoE1z<#@Lv;|U!(sfPfnfi{!
z46)KJrCv!>&1dO{X6PbLfC8+fL>DSXEFq@K{K>p+E!aLgN=>oc_T!esOeryScxjq`wlPv^TZ$
z<4Ym@TLHnmF0XC9>Wk1IJB!Le9vvRr`zs+lSKH3dQ)k|@aTg6UBm#tSLn^QVmF;I>
zz77nG0}{q8Gz+~`8D87lC0ejW>A;pnFfWGs{^kLO1AxV6Lwdej|!Dq%<-QwklG3tZwwfAjs7Q78Tn7hY`#-n&Iw%7x41p
zpxhaNh_l;8Ef0YKKaN~s3GC;QyvP%RPV6SAu+X-$vuHK812nSD
zMXKr`TW8C=5|N|lH6$wyt6fW;KyF&Zrw3uj2Xt*Dhs_$mJWxGj6IZp8MWCxzY67AN
z1G54j(F2CIx6_Fwkbp2%>jS0H=JkOOOE=Ep;wkw1u+I^wXY+eDAJYK@*m9mI6{WM8+S8KcPS~py#K{v=T)C?#a$+lpY_}}R1g12&
zQ%WAP
zc+I$rQwXxX!fbig-Qk37sMAbRb1YOAsgU#2YOjp7spRz~m
zOynghgi=Lx3=z8dq%fpEsG?^0(BXA-7|VbdGYdl$0xl3=QM#7PEd-_dYF(Ix(QUGg
zY7%xeVdctxhuK>Q^MI8ryS=u~E2hpa5oS*lN`*?HTfmQH(_qhS_vMvSm*M-BSE#QV
z^4L~f+Q|UO8W<`t(g;7O0plgSD((pN%R!Y`2nl&6_a8M@1VXUM(Oj_TVBl~UEHmN)
zU4y{r5;%Lb^Y}cl!il{DW3hHW?sJKPNk02G(n(|99t0Zl|o7?zfqqx!wD)A9GyTH9EMeDGJA2_4Lt)4
z71|NDFS83a@Y7QZ3L+{H)lUaLF^BvT=-2Cm4nIUtb!?V5ODRy8pD0awpe+n!!)^rF
z$6;p-mD-n>irrN|cB%saQikR)KzA8ICk;wlm|@|OZWDz81&s%q12Ca(uY!aYBAR;H
zAyA{r)KbyKIn*vc{O$y-<;mkL9r5*eQ04&rFpEJe5!wI_z93p^0DZ7~3YW%lVg(g+
z!qzu|1E)K%x<>$82wLIm#fc+SllItCvfQrT0hz9#P=Uj9CG$wA+X@l|t5O4VCRHP5
zg69Mqg!}#Mhz_bS66vzx5UTUz)fkg9H0$zN4`U++EGPuwL=D{*COf`Ta9YL>g{e|V
zJEh9SOX##16j0v+&`rk|KvFWqAYBYLq8Au4iUnb)R6De}wQ5xxF89+rTW|?ja|#PB
zIXwgf!!mGGKNj0y7=n9p5MA1_po|jlMcyj(nC+I;z}{-9ooRHeuC#y@AS!6@^7S~n
zb(@yJ971;y^ix`e$>imBzLHGb!Y2f+u)__F3y8(HW&px7<>lo{ImyZhJ$}E(*H~6&
z^Y%N|S=`>$Wws7q87y9T-KCzMvhwnZ%Brd=Rqoh&)nHpG=
zbv7>?CxM_kumYl-;I4Q_vK_geKLQH&&Y6gdrw0aWV6dPP&J}FQiH^F
z`D`6QpQXpHN~U9gwZO*T|QH6vR2CJEJ4
zRMgdlNT_<1Fn_si{Tdo400+<3YZ(DIADLU(HCLEN(G`|Sx+W|Sc-Pqn8b^~6*?mJ;
zQV`}RfnEnlaUBF`I^kd$_^q~xJWm38s5naeFz)wLk`y88Kg$=9q>
zy25HOsDTa(j0$DGPKReedU^uAy=67E)pe;8U_)X6Hskc+7+6|STVGvQ-B4LeHZ<@h
z-E#1j`VGpy23VP7hF?3dN%7lJ7KAje4hBfS+m)g7UKmmfGN%Pmm6t(6qq8BK
z&|)FWBQi7)2E@|Zl+7Pzxjw97;F5~$Gzk@|RB5nK;yMm|xL*-05^5J4igApP#iH15
zoOCOuS-Y
zPzn}@azwY%B8{EkXDX3lDUJ&9Mfizk_}TI}{T38b+sEgcL)K-w+-usPLwgv$Bgs3oI6ZTfucp#XQ9aL6yaQH>v480|3wFk#qi?DO-4bd+bt6ZD?_lh?JuAk)0H(F?b?tAjAfFlV>pVQW09zw47>Q)Y;^bK
zwqV~7w4_}-`n8L1R%7c35y%0q({LNE5kqm%UnOpZ3XDHIPGfGcX5oZM6z<%nwv&b)
zagiS3$p6lsZCq&2VJGdOd!A)?uhOH@sQkNY-KwFYETL;obWuEXsaq{*S4zq@DAZJa
zJB#M)>H|PBOtL-5rv`P_tV+L*1?4S%H;oT#mi5^;Y)Dpi5~CrM<&EzZm6Z)OHFdD(
zQJ*fC(JcKUtIq*Ru5lia7@*4fhU&`NinBJ2fY7NdudjwPIOP^a)Eb=r(i(y
z)R))SP)60&z*g7lx`q*uv;wXwFR!mJuc$((wN(u@^;H!Vs8+yLRkc;+byd}&fP$7P
z@W`th8YG;6idrU@x{8X*>iVi`gj!Qm)ldr`_})-nS6@?GTNMh)Qh6=`OY(&+*cH{)
zwUjn+O;{tf|4~o5|LV{ABiZYx9HTDfqHe0DGGEOP5(m87uX}^+Bj%SyxVOkDn&E?4SD|zV-
z#5~TLk7d$>h>mq4XPty#6ZK$M+vzQASfYTlnnx)i-P498ia2XAmWbBCU}Rb2q%4^*
zJflmAb9BY@OO#nSYdJZ2B|pAWKB*{WRC3m8gc~oxl`BiIOCg&ST*V8Fk~+>h1xsg0
zrIjbYDAZWCvnjwMq@FDaFp$ysM%sq_)0LeQLJB*6(SXr2Cffe66y<3RBs}4|t2>|$yV**vhqr$@7r`Cd?2@yDQ2xRd
zLQq2CQ7@UgiH|hXG?}HSLadnc5*d)QgT9f$O?>uv+QwQXtDj}Ck*YFvn{2DlG
z`q|a|_((fz(!Q3QxtcE{pI^h*kHn9mo;?l1Vs
zh_ltE7X72f{*37<(e{K}X}Uip*{htmd~emqT{LIywPQ%x@WdZCFN{wbf5
zBzpvqWMNm}nGsA%A|x=k0H;%JZE%w_Ic0!bn!f?)=3>+MSapyGC}dx)yz6Q?Ax8aIrTbm{w)@^#>dO}SK+*Rg*dyF+H
zHXjOHlh6jYT|&b^1+ajn<7{`h>}lT04WE35Uz9N1aG3ufmdrl^+Z|s?<0Dg~Nw}mG
z^tL~^;|VWSm^eImf_H_HcHWc)KX$Y^%9LrFKxc90LO4tZt4a`EV_^umqnfRbDswwn
z@W;Kz(Bu00+%Ap7kDAy83`NwX6S~@RWZ!$dElyXUkhJio(y*>P@0EoG!!7UgpJb+D
zZ40jT;QY}Hzk=(50C8aC4{Di#d?Bf|6#E+ml@MVoqP
z$4bW4QMl>L5t^2?Ys~NTG6M5O-S}Qs4*kLRG0*@U`9ArX$4lV
ziW=@7XG-HxWC`SliST&;6R=w+vQ6pyY(Risc0mqhn34>_Msg<8G@k6gpC7N7u1qEG
z(;{dE>{xsp?Xe;DX(Yg?RLUQUy|7V5s}K*`MhZ;-?24N~Wlm=I0?9wHZlLaOd`JXgX
zBKh-uz(y=e#-*E5;gnsj5rzty&|)_6tk5R3{T~|m1eS3Nlq3(Qn>t8BhABT;F_o;B
z!aAD0kL)NkO(Gi&rWB3j4;8}cyrB%!_fhwicaP2SOuC%f&9O=t~|V|
zBH45AJ=Iys4GDpeJ&{0wB&=Zx30VkXITR%FKIQ3?3r3beAV>h^MFIV0J{eaaN`3kX
z=(sXI#5XfOJ~m}$9CchCpd-PDf-KH+o->H!e9jC5`l`CmIrrqo`_H-E_3Ntc>gw)u
z>h$TViHDrr)~JcF*W7Oyt!x%|WkX(oN=HC7T^$4obT$V*rq8~$N<`bII>FDF8J
zpp|w_g8Vp+*C!uU(chU_o(qeb3kL{a$q&JrnamIDV|+rXL~+LH=!7M-`2}_fZ7$x9%VfydF`m2eQX!=8DB>P@>j@Q35r%6P
z>m43EW6+2q7!s{?a}nfIdl5WC>DR$oZ9tST7>-i<4QzZYJD$E64D73P&B;GT_(`0$
zUJ4Bg^B*(AIs>}77zWYfmqMx6nV0TfPx?Hn5t*^s2Y07tLC+OKdRQyTj6Xi|W0|3J
z7qcn;^9YX?u1*~F9|C)5&@f1%w}!xj=HJgUIaxUbn(4q$7-RB=g{-6#3!ihQo(qK`+yRJgDzsC>5nJhwd$f8|hRj54%$r
zc_{M<>WSgGNH3K^3-v9BJ;h$rOt15*wxrdZ%EOPuI#F6M
zl4^&*AZ3yi83Ng1^PjEX$-G>`)=)bN`cLk`$52^pjF^sfOQK>-LW?PfY)dFch#|<*
zqT%ET8DNCCTr^eM_G&qtqsKP2boD8;x*SBLLBT0B5o~^Xf=QOsTEMH#}egDhQ85>
z##4_&jZEggTs9eQjzT=`7)T=Dp|HB7sXMB;&o7LFVN_iOsev?_Qw4*Ji)Vt}KVHi3Q7#^di!7KausA7S`(+zt6^A;b`8z9Z{p|c0TJKxrrxmI
zaYO6kJDlfj_FFLqBD48?PbZ6=SJYVzSxPfmMMtZ7P2N`xNpp2Zr+pun80cfl_wKyb
z$-M76dF-Fqk20u#PY@$a5E6Fs*gNc6z$
z6v$nv#lLBPDvj#NS-x0nU*btWYyW{UseX*yBO51z{eSkKnA*=zmAbp+OZH_Zr*-}6
zSo#R4n6b`vp_#Hi!JY3siRu#W@;2=lrsFMjzreR-O0m?Y#>$4$Z#^j!n>NToQ2>XeL
zEG0_z^+b9Ii-qbd%rEo2!b3wiK8DP@L|yV=oEX9>G4xf7m%4PU4dG0>qu#YoJA_TN
zv)*mT^&z~4j&RbnBND>pF}(bi$6mV)LiTsCzp9-f+#>Wir=7;0FfC}Z`?>BkzhOvE
z?F`|jpGv|0K18f#JR8F2VlnI@@XuEGLJ0Q?CfVb|2&c>Uh42-jrFyi8931c!7E2lziU7t0$v&N?(JQLgUn0XpM3*p6{t@A>8>%s7c
z5Pm82sAjyG5C0s(zX&bG(~J|k{NyI-oxg_g+n%g>T>I?z?;*S*^srYv67i9*hA?0;
z*{^s1L=>_xLFn;ramQ*N31LFL5c;`3)mXDhw=h$4_5q?j+6S{N%(m#0X?)wFb&zXe
zk+q`{vh@0ggDotU;{AQaW7Rs;!jfKf@Y}?23rASg+6dW3M!AI}Eqb^S2DWOMV=Npi
z48lGkKIK$cSQ*;{zjCT9tc#`lbwAa@85ZqhaYMAYSr*O}d|ywTZ_;bF@Zac9jgV;u
z`vMDF1RL*S9mS_Q`C9MdyN=cSN(U|+DZ~_yZHwHuIF&kO;m19x`U%~kp0@B4p+-C2ad0^FGdEgz
zwx{F{K8nPlp0n`05Tp9gd$MnH$QLdALdbgPNv)lsx196o$}IP$<7*55M!B}TO8mpZ
zD^z1cR+HAmRST~PlQe0ad8edDYIG=kZ($!`gf>nOq5UOZ*9HMYKznS+F%uX7DxhO5
z)F?O}FhO_>>LJDNn|Ioj1eh#9ZKs|v-?&Wy?AIIMn-|gn2lxQAbT;%gmC6Ln2HH3q
z2AXs(U;)r>FI@y!40Loh-C?~CkCctI^Xd8CA#6JS&0p1|=fl+CW$Iv)?95(X-Z|(`(#0QpW
z&!TbLIJjE?7sl3yPn^}SWOaRR1zaouzXI6T*&(~z93D#nmkGqDfN~D_z;~Hzc?Y}$
zTHXM-LQr~mISu2_somkV5^!~FMa=F!hrt@a4xqks-8pz2;Cd?cfi{`6IP92lFGq9|L_d*EQ7p
z0Ji{rHy3ivtZ+Zz1HHv)w~WK#A;5=wOK}`c4rVLhHlP(v?(paWd=zL~lY8&5gB_2(
zrD!jT!{KqjCwe2a&%{AI3Aj@b{!SG4l0)7N_>_?SebTmk-6n6P{wd%yy#V51a~M1a
z_`J~l!^60u9Kef!dj#NDw~nMM9|t&?y?`$Z#_Rdwrgr@~(G{@z;RAiLE!EkjpMKN8oP(-;5Qgj{$e+Zv+0W
zHv@?k;sD+Sd`|%WK_(2+*2?Eg?kM|jz+*t~aJ@`DPXK-Z^wsrly?+n*5m0!ZI~{cc
zo{FuO-y;48@U+nV>R!v=v~|dbvQEuD1w0eW!*4U60iKJc|ND|*t!?h`xBz%j0Ey8l
z%~@N&vY0~0=RtoCBlr0{_`Z_^Tz!5F3QZ8LB6|cEOXh{m2^P0p^gxBjp-}IYu@~4&
zMP)Q{A!Ov5>e|cg6;eoERY#Wd{%1aONeXQ~4icyAh2tRM@=hEFiB$LXaY!#St5X0U
z5!Z_)M=&`J-yXmg@gT%YUW8v-2%pg>`0e9Knsovs-d@`Yele89I_2&X64Xx?W`_
z`8-I}JVkT8dx|P&cKY62OJYJ(D_UW}6&9$^vRhXSl?+5TB>7*j6t5+QN_;2xoezaDV8#xyO
zI4sjyD-oMSGXb-Mj~IAv~O%Ys-z|5>N<`!%(*`&Qe;gdo;%|I@;m
zYQXky6m6ZQ5)8U7h_mT(y~>Aaw@be*tk*Stq+V;|P`wuQ1*Z&reGoTl=4$%dX@akt
zsz#YA-yg*7B7;>Ufg7KisypP}shrwOm!_%`&K%gF`?ID&_tJs}Rm+*X8`L<4{Jud+
zP`E1%NW
zETN7Mb6LvMY&V^orpAGWMUAhUW;d#_fo|H|sK)b!Q)O{;cu$HH;Jh-rc4HvHFwgE<
z_`jL7aDD(7xNo}R*C5p@mH)4puCC+DBhyvBp%j}7Z(OQYNf}yXOr^UiJcBjbO;t10
z#9WQ&?{8MQ40WE2r5f92s9a$GoNQW5(AgMMoC6wJ&0HR+2eGpk4EQWu_Wz2`AcJs~d22rW)#H5_V+ln5SGLM`
zOi!~eG2)B5>aJ#Wm3^BKWDN7lr`lTs;Lv>5%z9)7+Nzwt(|I;BMU3(2Y|)@_QM1LK
z9I41V)|^DK;XH(;4vjPYo6rBVZdFyU<1<-d(1Ij2Y
zpB63)B=CPkm6@p(9B$gcU(c@c*;+T7IXQz
zxqNa+kCDJ(&2!jcm8(}7ju?#J%dC>^%mG7%)7SH<~SB^5R@Ak_fmgi#&;
zRj+qV=h>J~(#rEn0-$a=uVm%<8K<&z$*npjGf&IHT26`6h0d5l|K!VU8n(|q!~*(8
z^unkQPI2!l?AP=P5{^Xf;DezS%lWiRTHBoE-~P3ZDyjH}-+Pp{-?Fc1g*@nGe@vYh
HRN4OnIwnWw

delta 62376
zcmeFa34B!5^*HW(^CtVg?|DfGnF*7XJrI(xio=ApZivGq8ORJtW|)}>ktI;AR*eEa
z@VcOaRx2(D#Tpe9_}OpODhgU_TNR;o-+`p?tSmgd&7W??bm<*3m<*+-o59Z
zd+xdCo^$TGOI~~_|AFW7g*C=a@f(C0$@Mjzo^EH2zuOTAbUN!dbk`&o>XUXpxzaGC
zPM=m&-Q{U_bk%gZ+G@Ogflg1)@ai$UW((PdUAIO5-C+2t^DAk6eEz7fTCd&MIjgg<
z6JG}6o!;IyyQ3H2eH%MVSYjeg>~i!h?sY77ZtTp5qDSMib7_ern%VC0_W4|kI|Ca#
ziy=2PK{RXd`P)04-Oi2fSnj;@7|Ix0s@K&4iPEJB9o$#a-h}hHN2Hj<3*p_Km^F@;
zPoZ!fPJg@4Docn6m9};r}Zs@LKsZ+TL1JR3}
zfq-*)U?Vm&MgFiOk0{!oyYB_!FfT#L>qYXeqv?_}eYugny^~(g-gc#DJi_gIH*+D!
zO_!!*-@7X&XC2Rtmu}4)3eUZHL-NP-3}ceR>+N!OI=j4f7f`#g)jeK1nO6-^Rr&ew
zoSt6{Pgi~^JO}cJz;h=}Ih0=j@1N&a!ZWu3u{IZAuCt&%R>7Sul@z2)y9)9k{pEsT
z-1uGJ6qND1W)@#-$j@!>a`^pDe~sS@jdXN*`>Oo`PkX1|zfpR4WN!X|(bd!8T)uH2
z^)x^!wJb||dt~&kiDeE>dSS?#?1Iif!0T_QsR?*IUH)p9Gq9-I<6A7b%ZG7yNw<`n
zrQerN;eILQ4IMt^6=?XhmOoxQ{nnwa!`%neuXo$ucOO)~Zi{_?r28fHE2;5Y_si;6
z^6GZ!=Aq-F5!1SjCTZWW;{4|7>Kgnnj9g0#%_ga(B0bvgb+)^lekr9gN7`PQB<-{m
z77R>0OTiOEE2V`MCDMhJCMm{JEFG>GB8{p{m+mkpO6IC0XeH+(PR{W6WY#3H6Q_0JR5eik)s+Uptijcj`lFKU;k(
zYq7qSwZ)5AeM|q%`fxm*u|5;pb^3sDcRsb}N-SH!_^+2sg5V>IXNaaX
zJqEG|;@f(=x|{)fm&+g6C~XWYOJk(V>vLih`I1)Gj~u0Z016N`iYeCTT;%jQd)l36
z!qXysR9`$Ei@K-cgUZJ*;q9E|LpnM=AI8PP;Tio@Cht?x+!F~JfL*Xr7V9l4ip>;-
z`xf{K#|D%84owbnR2^+5_f}1oHphMcnKG!n#Lw+*^E%p>fQ#VQ$<2T+hjHq+fJ)_*
z_0R_&uG&d4hF-H<;J4dNE?Ii0pM$-}v;pn)i_14JvZ
z(fx{a$H>(Q#{j?k1U|knNads4rBoV@Vy#hrPp=PTaA3IJx0Cjcs_mx|cNoA_K1S01
zO;{mC!P+13aJHZ4zFo!fG$lhPRFI;|)DICU>G<4Cjm|$lH>;kKn<+%lVp(uzju{#%
zIBAiffwqJZoa9JQ;22YJgfcE-=AY*d_8%MS--m+L@77ttAQ^=A-w!aPNQPp+&!lXq
zSWFMEhJJvqL1$pH)-Jg(10t9#w?@(>R5%WVQ^3|p&}ch0sDRI>D9)%=^a{8caQu6N
zW!1u*$!LrQ;y?>`dpdg2wlbb{N75LXC&?F!p##Pp37YUcSsV!pmlj7*Qac!5wdU*J
zW?pk+)y-35z!7S0tY%7PLnM^SJlokeL^{%#8_KtvB0;5Xb5NFUhy=xt$hV^th5^%#
zPAD7BB<U2{pb5{%Ya>DNxfW3ZjS^_cs@Q935p+4
z9ywd7W_Hin%9vh!JrZ(d#+{sKmb~{ypKfwqjRaYE_PuiMD3<()CP&)aTB%{*-qvA^
zeP5qDxvE(iGqWL7?!Jr!O?bwA5ebSPQSOdT$dGzwWz%^Jz9q{}V_{U}&Q5=m88Afm
zE8*9mvy&GIw(tzhK4%nN8-Gm6YnfB7k-U~ULz(2YoHMyVt!g>U((&!FVfZ&85^Ul5
zH}0HK{J8u(Ls-*!&g2I9H*ems(2?5~37YVXvqysB3}H>?Wq)5xlGd-6-C$Ug1<<|^
z#o5D}QzDsvX}KYXHR<}`j}_L0#YVQCgW5)@}JagQ;+{zt=^vo0x+hF?+uCT`Xxbxb=Sjf7O0
zX|G(;6slbgM}j6i)832(MVA&wFf#YQz%;0ctY60EWrUk;(wq0{8$DLcDpcxw;U*82CprWuAqYPQaFQW
zj|7dD4Z#t08Ab8mVDQ#P(ioX1VGQ2tNYI4m$%;r&oI%ShXMFvS8ociuqrljG=O~(V
znccbE>+uB?EzYFszDVenIk>Z}F;vyu6A7B|9K1Uc6h9&d&!DGYh=g33aTj+~hcfQB
zk)R3BxMw3laRwdDMDP0)EUo`cI+|&P??Z8R9eqh8P0?~g*3ooR-|C^vh#8{RetJ+ax19HzojUCG*$lm
zVl!x?=NFgAk)?9Vt#jO4BQv6{^R%^z(n!!~#U{vz;z&@OVGtFtzW-0^ZymdQY0vTTxO=saiS4)^(+>r`~AJZ
z)H%Avv(xh#bGsvHlFZz`C8uqzb4P+EJaZREg5rlU_XqEDO`Pm$@9l;Sob2Gp&oK@BI
zA(i!9GvpbpnQgwut*!3!AT&2n5wflI&7S;z9x|+DjB(q3Xp4hkMAqVSG($jGf0#|0
zOy`|D4i!a^3}%DQ0Yx`#K|jML&99jq`%kJ~$>9~jSUJ2ovaxzU5{}EF`jOWZDyn~t
z1WkBRJrW5DcE&@NuVA2vaqJwp9?JAh(vhVFg?RYLYM^HltSR(Bg4IY*BUlCZ%Tlgy
zl86usVB58J5BGWJIq5+K!1;u<(pNAXGvWM<8-dr;o!-H(FLZfNK$|h|W$8uVT<%q=
z*q_NwlScZ_=Xhzg-zmMkY~qm8SQtI8!(ht*Hb*+r
z94~EOSp^wyty~g250Q-Sc6g-?cczmaZ}JI}XVnaDhO}qZ^mv+CG1=4Ya7j!1^66Hu
zy46_ArK=Z5(cFZ#jO;5|vIy*e9!&cAvoJfFI{o3*+IP8Ui`cV(;4m;Vg8GVrsj;F)rb3!YbA
z(+khz*Q}L^kdk&+tKj?A77<$>S0MH8js~cc*CK4-=SzWk`?nO(y;oBFbtYDHm~_*g
z66wed3DTnL%mBCkIv2~RmTI4d-KvmLbG-#JF1y|X&zG*pb`}lPNQ-Z{fB_Dd{``y?
z02^sWAM4Tz?0&k#={Ey)3~roMw60MabK_X{*&=OSXO_0ycnK8y=Ek4FbInZ~Sk^>x
z@KTVh>UG_ax_R9uIaNCH*KDbEJtpp1FN;|Ltw-Esl>8fpLdNYIX2SF14cG&nH~ZoF
z*3C|({w-3bbeV+R@{EMdsNCpc9Itb9bVz$it<-ZzfwV;uq)#^{L;klLWnPRUb&vB|
z(w>*oBym%w^uQ*$4Gq$XmolX7x0q_Ga$d|LZ)R@j|
zTLYk>=1C9V-2pO}x&^z$vBgg1&j#`=9P#
z3^-bTc?qj7i#P_jEa~xIVqI&0l_MoRFb3YHJun%b0}q@pVBe6n&lz&0;}4)XS8tmL
z&!yWgfajiV=fl(ZAi{1xnk6lKa1^|KdNfCR^g+b(;e%7*x#Rsz>6&fD(vF8>$?D-;
zRFD~0KGdqwjJPR4`t%`GS(y)C1kdh=Z=k#?z~yeK=#ffDoBoI$p4%Q-#mFBc?SHor
zveTtmkJgie3%KYY_B*$u#OFVX{M+!TpA~43X1-r67l@-GdVG6^bjSM{P*eX7xqpXA
zj=oCi;~f@OW|VZauTc7KN2+we&IvlU{bFY=`yMJCU0E)j+F8K{PbDhp)F(5f2Y(eW
zwf?FeC|LWe7N(;`MMvjJE8k9+_B|DK^R5_%rBbr5E`XG1>EIKw(hYB5(8K_7;9?K<4mv6$MaNT1I;Q7I0-3)HDbZSi*pvjUR8q6l11}>UB
z-N403J!_*Gz<5PjBPp!n8N0Kk!pF-1P0QmbGLJrv;!`|`g61Dw49_&?=RXVY1^r=N+DYHo-Dh?>1aCH(T-5C@D)QL@o8z5WcU
z=bF8;QLU5?AF)W!??tgavDc{?FTQ=%khXQ-6nGXqiwyhevskp?e^9t5{B|ZhZ~EH{yD6+rX{kOu3ESyKK>8GxnsC6tUUFQJqq9YDRg`~WuM@Bvves--7M2`!X(cM91z
zgG=kTsWj`*?ZIXpKPZs#Ghx4H^&QbN
zGq8k$>j7vvfJi$IB?F234zO3diyR$`|H0)760w;k*9614~OS1ug{F5bq;Iq
zayq1?w`WMrZ^TPUe;Cflt%NHjqz&&Vsd1o13Z!*^NPwc7|9~3g=&tb%r&H)mS?ktg3yeR_M<~Jz;Z??1QhB$r
z_>GYsek&EApLq+JQuOv%cwYSW6nNhCHk7~luxw?kq$hq+EUkMxN*XvklGSHX`iiB-
zfuyF8y%&Sdvt7a^1htF!4x(Q3j*7{9Kf{!8WF+eX7}fU!-zakAAwwfwe*`JptU%Q<
zr|k11R=KOO`7CY6jd9Y!zoxK{yN@P8vF%42;rZ#&7I;?wWg06oj_mxsAx|23IE{EO
zgNecRzf6Mczx`!2%dVpi-shlUz|l+6jTvwhfY<2%vASf+%cRyvN~NlIhcE>7()LG6
zq~>>HCEI%@G>}GV`@4xy#h!PuGm73*U0du7C*!?@+9|zA*
z-*1Aa<%2eOuKQpiJdc0S!78ej3RYHu%}i$#9REr*T918*>MiOcgk1d5)HvK3#3oA8
z;76##^FQuq#b-(W&l&%^FPV;0>lH3P++@+x(Lq|Gxt}J$i`tFSP2VET)!%J}
z=fUsr-Fp(LO*(}*es$_DRc1FixI4Ico4(`jV+3Eo(2}iD+*EQC&rOJ*vQ))O8hP$E
zZXS7q=k7?NRLI~n0!YMUR$vC)IwQNKBvC;0WShW2^<(CGhiPA}9Op)xO>yY3&zT2o*)9C2@`1402~Omm|IM
zQ53m1i7Si4CHUYJ+z!QSlesPi){=&cKM-E(9pK&U_JcZdJeez*TnENy)y9FuPKV#_
zT-r-Rlfml|uA?!G>u3n$IvT;aj)o|%>+LMHp4Z#?n^oY_*O8y3aO0yeO5tuLB!wH9
z+Mamcc_wxz!yKr<-9h#_xC~M|3kKhgz9C6&4Zwx5#4K_mq?bvTUzw1j&AS9mV^p^j
zZWZbvCx&w@c96bN3v-!VK`J*YQG?bVOZMBjbTYP<1GAgPrAX^m#Oo?u55a1XIc3ltY1}YvC7p8mztXs(3=RAeN)s@FY#GXdeTF~ODrcC3y|)UxABvNo5il?wWkbjhp8
z{ya#&u|HYIgEg___%IG*A4$@8{fWA~t01p{<&l+{T%wlLYsk`UK(}CRGdki*4k^M4UbR*jXbhJ0zw&jeldzeHkdNjA9d
z+F}pJ5^t%@I#({2prz&!?4TxX$_`}26m7~bWL7Q4YYMf=k7Lo1(&62)IwGFL_BCtk
z-xEu=UdWYTR3}a=PkWg>tz8a-am#!dj7`_4ChJDi|A{60mT~#yu6(Xoi}8QtK4`i=
zQzsuxO3x9IIyl3Bz}*Vb_)mMjTL`YVj&BCb^n^?oclRLs?r)?zMK
zoBk11Saq15E!}-IT1V!mw2)N`e~iM<(kA^amRuupCT-XJgLTbbksGRo{0a(>grUBk
zB+wX??dEh{-~S7xy%e*Fw}eaA7CjkD)|YT&wMkqYIgkrXWZ1HFm;`dHfMLRl$god%
z-LQ@(9=K*qi!3gVB%iM$!|+&)4q+mes3sN&erb!Ps5GRLn?B%Ew0Y@qq^grEAp7b;
zHs#2fPHAS5t-~mh>C!W|B@j@rKo7*R~q
z=KUm&SqO1c6tPxvI+?mSjyVD=D!F{^fSVsj9h1*TaJhKEQD=iLCr2x}VOnShgAQs=
zh)?SEOh+79k`5zv%RTAROIzc09l01As-p(*zk>IB>y
zM+VcOHz4wvrj=DcBMqE{TuHn?F-fN#uONwF!^y%bE+@6!e}yiu4@X5Q=IN}=N+hjT
zO1Ljk*M@%Dj|iP4_1&izt)J2&WJWcYr0v9?sTCxVCw3cjBl+i8WP-NcH!#^{HPrkv
zPS^OG;z&{>G=58KQlYL98))mn)w(VK_q+{^khVThL>{T(aE(Z$Nc@%ivJN{yTNFoQ9bg9qzuy7nGm`a;f+(F)JOIPz8&EnB85@>;OSWtVfh
zB7cw-GK9a$oujyTExJEx4H1iv>z(7b;)roHSE_B)JFHPb74hAUG@T6pC5|i|%}vm@
z_&u_&1cu<-qxJIoA?pH|R-{PVewCnS@h70{#&GpoazBqFj*Fo6+kTa%YyAm^=Z=Yh
z2LkDOJb$NnO301|E-D8Co_4Rtg|~}ogzulSUWKw`;aI(1{U#1w<1tz?zJmr{4rCzs
zM`O8UZQgnDBz2~oXKB#u2?I$wAB-^;>uJzi#wcA@42JG?9TgkT`W?%D+rSlRt4xSz
zlN-!y9mi#98J|qNPu}KbC`2j8Ev5Yzawh)-qgE%R3YF`filkerepE6rD(p
zCCyD-jkbm32{#5*@%kn%Pn+CC9&ggKVj>nTCAf^CXXX@A)69+37Cs+4vre00Wwp$(
z!(^W>k-*}H9!o1Z-pn;ah3&N(PNS=hqGX%Wsta5E;ykeBE2Ium}8T<~xUm!>Uq
zDfzaA8>>xOfSl5$EM$bjnAMrEcCvROSCgsfq4s!iVDeJVJMZUY-{r`_DG)$9IGIb;
zHer!W31p_|o9iM~Q@F8Ogf2u_P7$_D;zaVyR4z(OYZn=q%8k*gye=$ZA*UvCVp@-<
z18!>8(B~nyOyfpqEASxra9Tksc6sgjT!Nk`AC5Ae+t(Y9vzQWuO-sj{6m@khXIcew
z6Qz^SMd|eIig@azGsZ+s=XBz`Iv%HBxH4nZldzU}M?-z`5|e(mbv0E2m=`bo=>@$-
zxK`#gWa|3-dK|!|xbmd)vTj5L0KyC_S#++Y?X>l@RTcTDlzmP|JG;MH!&-@rezMT2
zpYq+p3c}iyUaj25Xu#Dca@?xd2%DKkpi5JjDUgF@dL4UrJdI{(AjBbhm-QaGlb`~f
z(B4P&04??D$**{*hr0;Bh{b}}+_I4rGt
zhv~5(4rM(}A6Od@ug?caTJ_o)Q!I25BR^Q_Dk3Xt$>
zvQC5kmefsx!Sm@%E?Lf10L&}$5W$L+^*BB6UJW*l
zRL<7h^w%|=L%L_{XK;UHWX`Jrg-hG<$?s!zjeJuUn&Y$eBlB=P$(*BiTaPlG7}X4Z
z3@rBP{g`*-$&GWkO0A-K7ZuH`RMBjJpb`0O4i~NE#0PY&4%a4qOj$l!oAjA%W1HX5
z`*Fu<>8i9P&OW#+Q8O&RpfUs$CXk1lj5?eAWjwLX)0?xeDQ7A44NXR!{rFa4%{)D8
zPBC?dWioob9gcur8}cM&Cb%7tn|Xz!3-@npsWT>^A6_EW{#h^BG33xs^tLjdlw1rF
zM#clXPyIPl&+eoIjQEL|fzdCWXr_`a7wRWe8RXK7xiZpp5opX;w(6xkJAnmPam91S
zTY9m}BMUFmoAg4m^&(E!KVkw|+6)bX@+1k?IJG0P44a^v`V2)%Mr&crqUGz74Q@>N|&)kVVV5xPq9yrYlFj%2u#FXa-*)4L5i&tVJ}F-uiP^h$ahslAjN
zp(Stv@m{L;m0DQO?7NgRYbAAZ0*yT=YpwcDnMPXXbHlZGFJM?;H&Y6^Z@%7{wXr;y
z{pD(l%pxb}>nDzLN$X`?trq4&l{i?%{%f{gY%XCWLPn8JWG*A(0~
zbvtO@;mh@EZz+rbj74Bghu_yvQ3H$z;AWO;Yg)#V*V(ypZSs|5pPd_{O<9F086;;R
zH&mOvh9zIVkSo(BU&WGfo|xC}>27oN$P0MdaeobYaiLy4UXuXo@sU*Y98()$pclj9
zoEGhM3@s61{BQY4-@pNucfErvmpwsx*~NN9NtgMQm<~;r5=eX-cahw^H0hQE;%VbL
zv`M!mkRy;3%~a_@QhW)l^tH8f^VAdvrVPTyK_Yf=QQETiB#DGozitdlrqz$c~7f(qP7M55-?;w
zNt^U6=+#bczRJ8;E`v45e{|}*;e`ZT-6)XqKg}i0Zt$Ly{;6tbTHi}xE?k^Vi};lU
zj0dY_veg>iSpePB>sA*VD1z4$$Zj|H6D@*2Qg+W#%Wc0L%H6nxyFd$cIDu^L;ieOB
zOH>poo)M*3MvC-k0^vL?Q;G7@^mh};RzEj04L29a!cWsb0Iqd&7i#f;oIw2DdS-k^
zp=PD`1%ft{7C%mzJ~MriqYG~Pk>wK?y1$@AUaZCYB_-_=ZPM2=Rg+z6qUorQEEPX=-qW0vibz;AW*x3rx`g#~|=Lc{o!*a90p;
zMhIXMS?c3v5xY;FD0-t`HM+ED9<7KR_j5)qbRj1H
zM4KWqislB?SSKxCCMWl{=~^_D5xQ??lrkNq&}IU=muHdqsZmPglO|ipC%x*L1WlrKM;j`5aQTeK#f%-K7GuWN%cm5^tx4$3d_eRNc>)si9w*Jb~<8
zrcPaHN=qWfVG78b%ebsm*ubG{)MRqOa&D+rg-&C5A%3XDO6jc%R+jwCa!&DAX>w~K
zTh>VJ<1+f0VAAy26dWEj9^UJ|2wriQ#zIVYz+)iZMz8sv0)PFe5B@3vJ73~%h4shI
zYdf!{#oUV#dQX~e7e_GH7n0kLdoY68KMTpm-4Mat^&z>q$03;eMMy5LSO;^nlJsQZ
z+Arkx%T$jI$;LI+VBvisxwrrn%zZ8-7Z-ejxrak?am^)|+iy(P(}jx?!R+RcT#TUy
zbFCq{7#k1fxqG)LO#ev4eNlFLi|J68P`>fnFi+m~sicO_Tu{2P3j
z-1^Lc1Saa@bo%G2aDgZU!hI5oUAys`jcxD;yrTS0hp!#NzCt=S#(g?Ua%v@)S*fqY
zZ3JiqMZCAK3hqLdn-otbtm0~Fk0G7-=)CrtjqY#p>pSHOtCH)3ymgXXd
zIBvyGR?*&tFYF5Vd6|5&ikku73?)aupXvaqevr$N
ztI8rf)4(ffe~>HVS41KG@ABlk>3k)*Wh@m&Xv+xM~|mR$V>pG7V;7_!LvINnHV
z1Vh5$k?q_nzMnR$z$)UOWt;2>IHvaY&`4P|96i|Rrn#lo8vMg-+T4xqK4_~o19N&o
zI74%33&P-I9Lo2re-VwmwUevn-&%*Xf65Pj^%(a;61jCNpGJQFEO&2)xX9xZ9U}b6
zmVgWRA-eoxE!l63${M`;H(VD_;{ML%kixNi3MqJw`=ikbLf%0fWzbmTL9iLM&vPbY
zJH*TaWd8Hqv+`@n3*78znhL<*9pr|P^{?=-xA!*?*W2+b*E;y!3*1S89QqU2N!nlG
zCUeusia$gAqqdBX9z6I8w~
zQU2Eu=<_;7rFe&{JwSHu=W+&*ALf3SrfJTLC%7i{Gmh-p&&3WF{f+Z;!NkGMUvU3w
zA}t~hhxmr`{t92Gr?x?CgFgba*yri(=@2`dJ+NoAkCFs`yHND^`C(f&*;>zw0s@nT
z2e}+$I~4L0^AlV_NwqlHxyS*#_xxhOBi7Z1klikqn1$7lB~NfAnPE$i8=rvf0E7Fv
zBw}ggV+OAu!S9X!?~?7RQ0ED4N0-C18RrfwTPtQ<|sn#j!NyBF=UNS>3`H
zX3)>&oNY4z43x5(Ny}$kK?)m#w!1jnLztII-pSyyS@B0W+cV@}EqpHf+{f9TBZU+B
zf}s@K3!LpBmVh(yxGbfv#?j1IIorF$K9Mh?kK}PNjQ(qQ
z+mj@55?{*LwVSsch61E%Dxbpuj_|hQ|A
za576q8f+`bJCpdLS_-ntVB3u#QH)4giHS6kYB4qA0I8bHXBRR>9KP8Hh+{Hez#Sl~
zC-Zp%LXwj$d=@hZ+2ol_E?0R+f&lQuWZn!v`BV53_-UNNm%`7&DSSp5ttVTq2btf7
z;}>p_fS2XWdXcp)N;Tp{9?`urh0n{TB~R-6xDGi$#!uz*8Ormih%rqzbX;gH8-F?J1mq$a_
zJ(tf(pvJ*u9ZkCWD7eH1qW|1RaJ{HO~c_|jR7nzu~LGx0|DsmIlHRu_8uqIdf44JTP1Cdb1Bn@o8RS!
z0)}VV&&Ti5cICWB+co7qz7F!1v9DjeMjKoTEQoLUOpA)G}ayZMa%R$L$#ftQwhWRAs>x%L63wGd_o@tXNhzozGKZ%7|#<${E&Tsp&P*NHLL`
z52&`>{+X)mSjm8^+X-$YgaZzccRu3_nXXP^7tq<~;vd?bJC~`1-hmAKQx=0&pYs**
zA{F&A>j)6&)L9On0~DCk2jZ?;`M}q_m_wl&tkVE0R)s<}_wd(zE>$OfQu{fdKlt9)
z{FgP*?QfY4X#c-48_aAtUuoSAg)^k1Z)Wn~J4~%KprpDg4Mp(t^GbtU$J@3Hw7fBM
z)D`MJ*hp!}W1OJHWlqejG~}{YrYgYI^3gY0TapcxhHP2aou~v|w`iE*yBqnZZz9eo
z4aH37jj*;rbt!gwP^k+Ptq)r6L|32O`=p`NL>oTCdIC-)e#Wp$k?IquCG
ztbf|DG8XK?qrWxeG*Iettp(Wr3+Guu4xj_&?T$3B$XbFuG1t|N9vb|`ZY7g&&l$>?
z@iJR20Fz3#j^WZ-d#kN=kP^=v5VgdD=L~sJ@$%<@bA9BF=M4FyXdM%+Qve#eknO2Z
z;Bi7Y&3XZ3CCp`wRdUFu&l!d?@wf3$l+XL#`L+aah^=+s6_E=nzQr)1M_>}V2J5VTXXe}I!eZlZf
z5(v*nZx{;LP;a7Rs)Vc^!Ih1mQa;H#2lx;z^FekrGcl10RWO6f2`dSX*1#VP&dhv@
zA=_GroJ956VR!g^4qPQ4NfJJXJ{d_WKBpo+<#Pl2T+Yu8=u=()ITh;dpBu^?bHQq`1tJP9U`h%9Nt``J;nM|;Ws5pYDtaomv4
z|M3>G`nX~Ks6{?cx7g`)c$bQNfeEU5l!_!6&U+ZdqQ%z8uS)ezV!)B|CW`XK>{y
z!&EL&$pc8U<=2OVW)5-jwH7jt7fNzHF#q;3JbE01fMYts<`Pj5;wQ*}ScP00#ppH1
z#l_LT6E9jP&w~wIO0ybhyGu(;=`UF<2xhWD5Qe8s7U@n@zqqW^)!vD@r?
z2^N=hR3U0$J=6m1?eK`b@Z*4fbof0zj<&A8e$lyTk*nPWm-#`Ri#M9_(e3wFE8oN95^4hD
zT!(X!s4yL?un5Qwvg&I?PCm$o(sXe=Gy@HfEE8n*qu_Ij8A3EUk}kv=u*~c)`GS6`
zx@A~=pAR_;bX1n10@VqNMoxlag&hH)(8thP6bF=@GeUMKK)%H&ezb-vEUZTe>7Y>o
zmIBQ0&{GERaxN4M%>-sBrJ*>5Y#?hNHlz;$?W9;X_(Sf%K2RSn7~kVWh{^Y$lJPZ>
z{po_KAB9NA3z=J#Q4JO#N0(bB;zS3pZS8h-P{k(t;14;EgPw4THb;-sxy;kE_zK{1
zj{~iuXoDaf49>A*$A;jcix$3qWkn#+2_u;rA5dcsak0nKfn+;^s{(WwpmYPTkek4l
zVXV>SntB~_6n;B2jCDYdr{_wi&qF(k$_(N#&#$G7Zbhv0pDc@KCSy
zsgZ1dkIU&-MvzuS^i0O`N||$@QmqbOzL(I7vr(!k9fnwtQ|$Q2h&=;q&Vg1Klta!&
ztimEnsijPWS-7jK%PwMnHlYa?sTt^WT)|uuKlmNYKOw1q;4-qQIfQZA)x~Ow2sZx}HlT~Yhuz3%TFOf2!Fo^|)Ckd9W-h4(ZxGA0MiPsp+MiO&qV$wUl`eM)_9W`AP1WW
z(UBf-h*;|Y6`io?W-rRDgxYaxQIN8#S@4=Dk~dB
zuUZnJ0G&z*qr;DrCLMjuRGkjVTo)Z^P!_-%c`>Sw>zBZWUgp@f!woB_q0#pU8tgI=
zYydi`;F&suEhwYpAydQ-7s)$mNbW}`zugIg3-vdC1aQU>P@4orf^2Pb29`O&B|*3z
z*wlc|CbkS6%5y-3ATWLHpv1B=lUVI)bxVO|^G#aLF!xvCzbHcdtqZ&|4U>rDS1@C3
z8p=nNf`4re+SG6iBc}u*t6#0JOkC9K1G=CgOL{!ZdZ1a%%@-HBV4H~sPQy^qRHg8w
zveIi2T|wDVilYe5*O*g~DW?|_8^zjSchE*b@*+n&fY+&&IlIWy|1jiaVtz2Y##A>9
zzNqZfotA6{N`lr~FT&Wj#8WL~W}iW%HbLk_?#5P}Vz*z+zLc3GtfYRNlMgbKar&I@H
z!D<&NISv8-4&W!*@|7Vg6SFMK=Yt9EaV|rL-_o$aLY7v6SggOpU?j!wb8*pB!}`s%
zT51pCfJ+_z`K|@xc-n9>v79eVM=-S)&Ddj0NJ(#09xalpG)jdaj>n_&OiEBDSki(*
zg2)*^(9?$xvj5jn`B_l!S!*HQY9S*X+8vy9f(HZtku|-Bvc@uT8O|PiDgq(~g6Qyt
z$O8IQ=>G*g9&wSwCwh8d#{v#HrYtbGtII-N#zdS=g4$@OmXtO=2lhs=c|Y_Z;O~ZE
z5D-BV&;rE}7=Xya6)^UJcx9+pU_66XMlEoXRxHE`6m4`RlT^|&Xvi7`4y9Zv_>M)a*?S}Mv&~DoLn5y%MZGFHQ(a}x4^$sUQf2fo1>FI*28(>B;
z4x%JT19NR@2BkvQ7Z_ZfDu$NMHuITe-#-kQ#5!n5Xx7ODo%e*0?`ZRzg8fky
z+BxK4BA*fK?4la2v5{=p7L_yF-*H+OvN_uK;Nm`qo4c@YXN8ibHQH4nEIqBRVd7~7
zklHl{%lOlh(Rad$!P)6rfXbUn`RxBRU7#`^He@se#ej`#h^5FQ7pxaVVLTRDpplpsLDj&ATp=w*ag()k%f;MqFXS2MGHU)V4JC~y2fihOHqyYsPP?1{YE$;
zkWnC15Ux&WCMyesR`TU=hxsg+e}gtX>#1_+X(hmWwZi$u6i@a4t*9af^^e
zQi_EV^0h@sBu&M_s2F8*P?b0MPO(tKkylHE>-v{Nbk#4?$QW~6hRNY`3oryY-6M8{
zLO_2g=%^K3f|`QrLkO@^b`CQwv6!*jXcmp|LQW?PX#lGhZ7x50gouRHj~3F?P0s4Y
z)e!WC+LnkDL;&+qLbCv~uBycllI{W3Q7&Wk8k!Dtz+jFv)e{NrB`rr1Z~+beR?;LHUQt;YfkxaHK$TI8y4vlLE;KDcbhW
zhxBlyKyo-zAUPZf#h(cKyo-zMrcUUw0}ON
zha&}&!;u2X;YfkxaHK%;=mijFP}+#n?1goXerBz3F@s5QEx51q>#Lzd>#N6xmZ0*_
zlqwVsVl&CZ0Lmy8SVXb5x^6_>i2AzWqZYuRQb0h)>xM5-2394&t0POr434h`d3`mM
zsRcKl13la|PFPa_nho?lhB0H--@ZXaAuXfIvP0!W~x{Ggpshg<>6ptzy~
zui%g`hJ~E+4iSChpw?yqAw_FzD^iFCnyGW5TfA_U&IE5t^j7tFeBH3(h>JvZ;~Tx>
z8zH0sDiY@KurC5u?ZB96)-rssG>6M5%xzGc)BtT#I}0jP!JwTa^<$XkTsI7C*Q^9y
zDC>|z(avsfpwFa0S~_s+X(L$f$zVAqtu3Vufkf^$@IGSOPOJbow%~!xM1!x{Jfs
zEi*%@Hc3~l87En08Yb*7odb8*LTmsQQ_Eq!O}0s@)fp!`+S{Gp04&|XJf^q1%?YxE
zQ!v2nT#O&`L_oIAJ`u0N?ZTbpia|%as_B1ZA;!wv(V+FD!F-mT`B3|j&R&Ogx?r%%
zB5t>{fwFvlI}Fw(jZ0u5*XwVD|1F}o(Mx)&g)FX-PAQphu82xZVMhm)0X*~BTCwVQ
zA^HW>A1!dXWDu9$H$xEgc{2p`Lr_BCWIf>p_%kH&u{gO!0C}!`Fqw}j#=3@?+!iws
ziAdQyRE~i2-4s_e;*$G22WRIpA~M?-1#5!cJlr7yxUwkS3=NV`F~H<_{{vC5nXfAf
z4xWOGpQyBsiXw6R)|i*1v_=*%jAur5KrGV*5d|loPl*PEG+X8C_b@ez=_ayzm;l$V
zzz8JvDTe5YVR;J5Gz=euLmRuFPIVM6WQ6Aejb>vtQLOEB_Cf0{VFOQIq3ltWMi4U{
z%_;i9wB+ogC`UJnmV^wSkWuUCj)Ds~eNjoFVt_p*_Z<+1J;Ex1WEV7gkKLvXv7Bx&8`4F;Iy}Q
zI@_0kV@#*I7TmfK&>%)|s@B^BxFbdlroq)|xwv$`9EP$PTz8*XBf^YF9EL-j1+q{I
zS|HMhD3pIxgs=+Sv!g{8#5EppRffZrp_1I=QK^PKNycy}sa^zE^V5Ffi(gMM`Y#4g1X|THMTTmVFQ2(21;IdIH+M;Ms0Kf*(
zkc1{)fbknS%tEuwRFsCQjnMI34&WeSGw|>-vf%?RXZ9Ij)fkTaq6x(7dRD_GN|(8T
z%p4O{oEpj>7Vix5ArbkYYw{2{`e2AEQ|SrCOvw)tKIhDUr;`kRKrgHXt3_14(B48%
z&LYk+lgYJ0J$bfPI7~j6EEJPx>x8^p>IMJcGxb6lozj}gmU%)H*)mNK$fHd{)ZlBQ
zgmpX@AhRqmX5Wye@{9$An(s&@)PfEfIdms@pwIY)*k%O+q9__SE9kW1zzmx8Ggx)f6cD0^
zx1(Cr8X%^NWZI~WNAemOfoSH1$G3n-Z|eeMx;yI(Xb89L!t#RxS5%o1>n!ViAI
z%nQHj!>hSEjh@@|fsmL{t?&L;;{_VF8$h14gnfi>eN+XDb#tbTJ~4x^~De
zQ~+#g0eU_vjjlutW1(g!0qX@+Ns1kophkt|1TX|4+7e^XW5Q|6dX2i2--G&6P9R$^
zFl52Tv~YH+&cgbWb|+JwSPd;Q{9KACI#m7*;qw{T7`7>Onx@F_!KTOwB=r$PW@Q+A
zTNk9=!bFow8-=e63m-zbwiL5Y{m2NA9~rO?I-TIW|5q3sc
znLA7*&w`tE0aMGg@4HzaoQAks;WvZTa9brtRry-a0TlgNoMPPfkzXsyYEgDJ)FMn-
zvV9*i2>8HY)(!@QY!1$0PZlc4Psa8`-GIsDvbb^CJ)0cA$G}$c|657S
zrwojv(>FJ?2)KqD51^I$7P&1hawrilIlvZ$HJ4|#9g6Ar|1JM%GxIuC0V;}+$|LoI
z>i<7)`Q<$YEmS|q1_5VpOdn{CjKW4U-Fk$33L0b}g|E!O&@yJx3v3!8?N#X#H^LNyj1@&Gdd=xE7&*fO^mZZPap
z3_hFkF|CHX6*6Td1{w|G>3WTZF8$ckZ68v2nyiHJcaUTK5f)cCB>(=~E)Q8SCMxxZ
z`#Z>i|EQ7Jw?l{x>p-bSfO=MR3ZyE)NY(uJTbh5Tk{_g~&*GoSGv*)e`@v41{}+!+
zh}N7wDu=1V>U1xbPJJ{QhWgXh=U6})S%qq1qy-UAtN4<&|P`U>&eA4glX!DjCptxQQi?)8d&Cm
zznBZbYS>W%yWrTd?NSJ+``dl4Hdu@U?LH0Gs3|6!2kr?I>)}kGC644?F4T{r$!JX4
z(T>oai-5Te_L->XHevk@?Sl)h(o&Aukro4l&EBy=bhD-r_Mv=f6N<>vMp#>&(kg5v
zarFXRwY>;72dymAGHkuuy7tHXX+d}gh2;PRojPZ#6@Kzh~`c4xuKpFR-{;G!b>s@dTD7dVFAqZS`@ToxzoZ$>*5ji+!i}}hwTu=zY$-%dpu%PXB
zS$YvIJ%$A<7_>Y_PSg7_X}$`yV1X#dzUtHyVwG$%pls*V5dwt)FQTCP34JsuMr$#P
zLq(HZAwS@*RFM
zp-RXq3(i=Wp8(Y?nBRbBsMYPs5ZdEQ=sM+)(}RTwt_8LfcGtn=c_QX^}Y06625<%nZ@{YLXs`S(sD94;{8iW15ehAx|a|$3LZ6U4E(a!{c#kJ`u3fCIN_f-RW
z`gk}Sebh=cu;`o;_=_ZnNGqo0BMcmBCx5C%lznsBNsJ~o^3;TSi_&!?^qtMvqb;L!
zn*4j_k|BVnd(Uc}s)dy4JVVKlWLmSvWX?hU&iNkOrs|kE7>1RhFM`$HGexP?0-#f1
z%(5*zJ{lV_h3Ht+n*btjeex|Z(-owPAPJAS`Av1fg>}8sRas6Ii)^GJfXQf*zd;Tt
za(ZaF&a7D#x?Dc~NOd?3F5p_2hFG>9rZ)%*v2eB=cZ2!#6v5GNQ0lC;A+6~7&$XgQ
z+X}ivgLn-Fc7$(ssgG^vg00N*#RU#LT>vZd@}&h}lpVOwMz^L&TZ1N=?rQhL)*IS^
zXgQ_S=d*K>!!lzn)O09|XPZt5<)p<48$~a53SW>lGhq?~TYTwyXlz`EXNkSr0Vl4O
zlekX7YQ$xrH5L@EFfI8uSo314%@K%$C?T
z9ffsvW}n#}0^`>=+Nmz|x^%9cbr6nvktV$YOceOH%R=I4$z;N5+PzqmCN!vn++FfqL1RQRd5Q
zA0ayF$5;U?p|Sl?m9AaFqDufKEm#PdTHyb}s8@xSbk#(r~syr7IEw
zafVvhqE=+~DX3CaQPV2;@3B;;PvVTVI)k8=XQ?n~@a78n1LtvY@x>unVj-XO2;=1o
zf+{@1+r}7r-BN;e1WD)>a@f~s>nvhXzb>|3MrOd*GzxjS)ee^`rO3vz%UKN+T|gp_b>vX5P|9k*!Ai)#dWE6v>o)6s
z#C(My-=FnM>n=bMtKyfhmYQqbMfNWjGU;`$)??Ox0Z^Lky5oR`i`KdV>UEAMt*1`U
zU##ZaIL^j%r$cn97ed+u&Sne)u{bFR63y9S$oOSKZY#14F2l9OV~KbTRWkA4v7DTc
zsRq!DTZa{@ZAqLh1u&4=SHg4(FRHR7vXp^bxumP72PT`Wxw@k1oGk|{PYDHN6xh<_
z{3JPFKCjJs$Ck(0CS&Pf?$QhKV78n+m9yP~*$HxC8gP~KZslx4@YY*}LV25|W|xZ$
zIFz?F^4CfeuE$EpPh`S=uM$())#NzvXQ;1}G88OJ*hN
z47Qa9sH>2iI-e_^L%F`%VB3jlQH(a3;g7S#WX0Oc##|=lF@x;`D8p{QQ_A5zWl~ch
zH;>(H7lx4sNb8kC7Q4(<-^uijvk>kud{^Y*{g(q*3We;t!!+r{bLsL;m8=
zLSg2D7t^yCOH9J^fleR3&h){pdd?1|{G?7e=3{esD_~zxwtW2<+}GaK1v&?!?|!?Z
zt(`pD58I>O?T6lhy;Mu_T%+B&lw8#>RHZ35mcf-tm<;zkkt3_YwHmPooUHnOp&|_q
z6JZ@Ro4#3yryrs+hBZPRX}(`58(g_YxY0oN-!E8+c(q_0y!2|JLL7vw*hJVZ?e&=!
zxtv`cc4UGd=FCoSm!sWjDy=BBh^3|G`E_&)*ScN8cf)Y&(;{RZTtovCbi3VTZ|?$C
zxdKkY+i^$YDsuyPRJehT)c#s1FQ+)YfDQ_-sIXHOW66pJc0dc?E#&ZHLV5ox>Ry(K
z7zb*AtGS%*CNn)h;B3=bIJ^|O{s1XcSTu{MGO1?;|qBv+-ph~TrnGcy{phV4>
zUm+(}EEwGMYtZdVyDTEe^%7Kli{MUsyB)q6U&!qH3|S?1{DO;GgP<9WVL@oi?}cN#NHT73!;97dv;zWf-FTmUn+tBw2nMw(;5L8g
z68~V|9>JTED2o@{tvC45OTtHq<#6Mc(`VA$)tkcA
zFcsJ$2u5=S>;NREPJu1s+6{T*0TRw!G>Ry>)outR!fhE|Q$@KC?)UIjK=Zpj9oS52
zZE-ss$ZmJHr^f^*yx3+sL@TT)_pc%?TZE!0I0p$B$pwEA9OR~__~?v^6}78OE9y#o
ztIQSE=<7Qm1cL-5!WKZ_9QEnV=D|<@B7B}71GRgBM-XfIE0;d_kCVa@BXJ1Ep(#*a
zEe?P6&pddOVEl#)pGR&eHj3mAQO5J(FMFzDPp*kIzBZ&1`^N&8QLt1ya2beH1}dm|dtq2@EO;k)0G_8!rpbha=8TIBt)phUIJhHHQ}1
zoQcu^Oh;0*lVY4}VjAvWt|MC?7mE5T;7(eQc?f;N323?;Fs%3+&
z5;O?0=_jkma=Gf$=DHP_S%D#A`ELxwRVu+u{FRHcylS{k(ZmX{8j1am&8jFxdR$c`fZvK~int%w%
z?0)DDbDA-YkT~O_a->D+3y{!&b9un-cP)lLyarde+3hIJrXl2#IAbAKamz^|Crj2y
zlt=3H$xI$L8S_d1w-BekEZ(@66b=Z*1t`6s!c?gFKsatQ#dNYT!6>E!*!QO)_Elj&b!vrz#Fq^?
z;WM3V%LXKSvyBc?l4C3(7vvc82!B$@ItyP4$m2Q2pCU{03SAI}3*`!21QFy(eufKJ
zre}+5!QjqZV-YuaFb|){@{K%4{#IaY$*b&9w6PDanWfzYS_a?9>_X!-0(|=r77lh$8w=)Wl6}r@SRFtO
z+0E!cV}^e%#m5wprthm+vIY!q6T(`7(Hkm(F7FY+n5U4`jy`}w6lEC66@l(CA~4+{
z8q4Wm!s>i*I|S^fIK4t8!%UtMjYG+YqOq97lo;>PiP1MD#&zV?3t^Ye)>7j>a?jIn
zXVaQ8W41<~4wiwid=6fjQWjK?J9cr9I{$6gZK^dl>SCOZO8gC&WjhTb43gZy&EK*m>
zxLPyH7!xy}{sA8d{DBxXlP0tAH3FhEp3JN?F8y9X5{DUEiD#JcLh{>T#*0;~v1FRX
zm_#nL7-x`sEygwyRb_mDq}LdakiXXe+C{aH_Cl@ke&Ve&UPPX+GtMHp^+qS@uLpiY
z7sB64sW--EDLwA;JGx*oN)ZVP@JR>>A;(fEd4nCYediaAPh-8s~@mL|oktI6_T&
zhC@eEL|cX%W66WVVF=LABg296W5X3X#1Y2WoFE-Q1zfb*uC0hH7-5W8h12DS3z6W+
zIXDG6pu0vG6E*FDD{;Z|lSQ1?`!-ah0SLGPdJHje^%y3ZNy$i=^ccJh6nqmixojjf
zan(prM7NJLF3eEqg_SwT)(#}-@-#AW6buwPuHZ9{+&Btaym=IipxvX4QwcxX_%-=<
zwDEyh1&xoC)I-MK$AB;l@QFd^jeK6T4$Hr+hN$q%Jf=axO11f?TnG0re)p+B46__z1
zq@}T>pwSqcuaI&jJq3y|xB}b}=v1@|a3Pks8;vQPfvjjW=CUb$rFAsf+-R&&ZjWw;
z8CnL}(rCz${M7livsMgF39bk
zllA^c^>gtweI&RY=whkPYw*rAeI4TB2oC84qeAb|VM)tfyf8`^QLUt7T&!h!sH60m
zy+D>a7h9s$t*mvTi8dE!Fd)k+%9tr0a!hf5KUxy;GL%sPm*`I$yb@!MOI=*1^BcXA
z5yJIm7k|ZEbA#%%6t@!p+Qr}K)<%DF-QnV$y1UV{S)o?CxJs{Sv`z%qxVV-Xh2^-a
zyW3=l;E`PC;`%5cZED}=;{EA>h+Y5A#SIMT7sx7>*=sCiql=rEIv}8OltoT;*#11?
z;vX4N5FqHY;`H?^f95{n;?qno4Cs`dWDY%@LgxI8i_bMJh3#?)+|YDarEm+Q4nUXd}%{VpD2T!9~V
zqtU13Y+zM~T|CV6!VsMXIIT;cx%gES6Ycg<7muc6ba}Jaua9)|YZt$E_4sD5$lQP9
z;UTr9#;$l(!{I)tYAPsbG95((S1C>7x4THdMYqq30N5=
zhaN>$fK^d)Xm4O7;K&SeiuowOQM03T`sk5AmoEUkkjVo>vfB?SQOM0&-Dtqk3=(Vd
zI~cO2F@R(A)=Pa?QVmE)+340Nek|Zvt}V7^Ye%03mjGT8Z6WML#{t$cJ#7rafC+$2
zQNaA(Frpc-HQI!%k!>g20HqLeS27^5gWf7hZa}%a#ong_PEVtA
zYBfqvW63iBXD~T87>blvmt!#blW#G6JD#(gE0^
zH%|7DP6hO(G;hL%yeZbko1sRwW=!v=6?&3*w*Sz2ub_PPvk86!?hL!`~wn*eXh
zWJ1fifXU5(H#0)a)-TFL?35BLD+ajjml5q$&T2GBEG{fGR6fDbaC^dSk)zKwtnGa@o1VaOwZ
zf5>DKo`H`6J|007($Gsh-5SxK0G|NeugyEdNctq;Q=mt+`OauF;O3|t{0+Fd-3xp>
zdiJP)`nDg{l1
z9zLyXA=?3WfKE*DN=!#~0=`JrGQ}Hc?sozH9rWrczV-YA@Fmbs6W&vRdU(h<__AnThm~MA;O-woP+-I&UI%52Z_R14*LQ3
zXCfrpU=eQvzMYAX$b&_^1NaUj#Ftqc=;h5GOMe&eU8aX^WI-1t60!960RNdm=NOKq
zzYq96)5Au%pob$W7VrV!2Mh?ir*o$H?&)8EAA%k~%~$ik0S|zlHO)KS48uXdL$on4
z&9|OU06(Q+2ZG~b#&2RsrLhdxl966XuRFQfel9ksx(0FP!ep#PZi74kLU
zHw=&$5vx#UFkmrl@C8|GzXkjj^tG4!a(xH*zl>%>VjTlK#`Lh;=~>dTh^M?&GCs%uI3imE?2|oayh%yPA%SphKQMv@FtPrOFPcgku$`RX#-}Qz<
zyZ`CI2->LMa_1G^shcQO*qwX4p^{`cF)UF*Typ7E-sb-6^5Zd8lIX2aU(n$dy40#Z
zxW^l2Qk!*22EklOLD)qve{<(w&49D^dYn!4(!JifVl;_^iQ{wtqI92k`Y*ZDi4!=S
z;~n07PBUmbQtsetE`(6oy$*KrYCBt!5YxZOS?t^xzRKk}!l2y{^k;iLP7|2F&l`~^
zCl!4Da`K>P%P;nME9aR=U6o|CJ#XEYhiR**M)jp?gKJbRU8dKli#W^U#u{}o-M&|&
z#+p7XGhNIH({Y%|X{Irx~PcQ&e0{Y8)CnZl4X|*nf
zlVkd=xGL5|7CI`g@j9x@0f3emUJ=vrdXn*;9w*D7e;&hG7Coy)WsAkmY!uFSHTrtH
zF^0=UlDwwHjh5T3F^Wb!Nz&=Q6IG63wlaqI#`KXoYGG%qQbv#KWB34DUy1%G+bLZ4
z`LS#^n1vG+Cs$lMQAXzwZfmKp_o8pESpmRrAQQ5xe|vl<3T&i+fM3Llc-?LY})3cf=a!*MtQL=
zDgLQpSsPbn=CA&7>T^=(U8>G9%!}9I(KEa*X?abpF9ZEmlsbH}UdU0IMKPi>C{Qxk?Ry@nfrk{-sKeQ?t~g-z-2NXdE|#!!)7)l_2z^cX6Rz~<@Zfi
z=NRb=>gl_Ci|SN?xt%gW4b~?YIMiKIQ<>gWuS)c+Yn?1wMOBhR_AK3}edcUu
zkk>>mF-a=~HQYyWarR^`<{>qLUPmo)`?~#l5|RJPZK1%jWp%c&(#w_8&#FtbGl(Zj
zwrjZzO^K%;YEWM4HbEyj4=y
zwW%^Exuv5`9ld6(xc{M&wlsfg_W~NINYEs4vB_8)5NW|L3n9Jg1)0QKUl6DIpBH4F
z1kp>LWx$)ak~~vN)7Wy!4R;sQdnV^D-!gB9
zI)8+pIkc1~w~1fR?!J}|ma*4->c48lI8kJE0trxH06|7W|H0iR5AJ+Jr6gu(&_b(chuA}Nx3q-F|;iYIbaQ4V*Pl;rAZ0ghx#3N4m4Ek`bD3}<)l?w!@_
z%y=Fo*Kh%~g;NT>=mQ>qDEd^|ekzcn0SW~9(iSb!=97W+A81?@1^TTB+7u}Q^mp#O
z?heT%X-a|JR)B^(_i^sI_q@-X`*85XzrVgu{u4(6k6X@K)i6!RHCYggVbg6y9p;4b
z2l3foj(;hh79+l~8n}_)V6oVT5e;tHrq7)CZFEl1_|US0Y6{>`z#5_DI{AD)$cOkL
zjO8O@FtkFODP7|9&2&A3CTUIA*Ool|HtfZ&_MXpdW(4fLI0JC-4Yo$8iK%|`;`d{T
zIv?C-oEY*9>?Dl&F)^a&Tjv8}DBbabIA~iAix;9gpA-Xg)ma6&eC1R87(dAe_!k!V
zvlzz2s1b&~RgXd(C>`K{Wd=Abaj0P%L4Zd59(0UO@@v?PyyB&9G#>b@Nn;{$C^TBs
z74sulWh_}myimIrFh8i({jTBoQ72&CT6P*iEkC^)wiDDW$7E|&Kfo5Boj-t0jEE8J
z*=YHO$5lf7T|QB>0?p7CyCDZb&TAepGFnWMCa^k@olwecYC%FM&150-JCR9a*Mkc5yydBhXB@V_1&l6VT~@$7XUa<`+T!7gQ!Q_-Sw!
zKl66X&*J}=@V|opHE<1|(2raPRe-cVE^5w;8TNR5TujUT~#WYgr+W>eYtZsd?SVH#;o*s~L`|
zty;FNHJK4cm{WH{4vtz_x(hh=3iBl|C2$pnaZ#7a{f(Zf0(1N9;Ah3v+R}?PGIcu8MKASVU
z!rqEB7mWn(#d=xOvB*W>lveL*H=$;kAI@lBF&b`tMtjwo
z(cZ%UMHas6+Gc+8tE;Qkpka|@n3fM=l0-;bYN?RaJj<#r&CZ^iyL|cb+}x$}vlr)P
z=TbE~DK39v`YYOR4?w_|H&k{et(42Vs+CS{&u^K`?__8pQ6w4*DhgXmlo$ePk#EI(
zk%a42LY}O_{a=J2eagB0S2_SCiq==#Q($Ui|P4*gv>zEC@ANUh=_uaMK!awd&;E
zMX6R0-w0b*tf}~@3>-EwgKNx
zg1cpfx1)LiP;nfV$WvTeDqPkCWPWZ040fA2~0UB&^luGb3u!Bm2|uirJ3EFY{oJNi5dz<$vam0ZFQACw(DRLKm1N^
z#6)fQt1DX3&ESnXT8qu*ci$Kq!)
znd~P*J*4}STs@sB=+$p_nPNl9V1;Hy%Lc0bgQOb&rb4RQAk~u*=UhFCCkL}k^qm=m
zT;EFB7=YKVIIQ>o1&+!!50OmQW-p#vwak!T(JsxNzN&Q~M3!?!GosMFide=pVJ@y{
zv(*<^=PF_(ANuWzHs`HTkc9BWi+s;!r>#Hr-ZP`q^{>Yhhf|^;I
zI~Trm`$F^5jjvSBzf!U1FI;%-a`f8mS1ecW+;Zn<-M22CyZp`z_RWjdh1!b6R%s&O
z*RLt
zjRN>kJNNqR+{<5{ox5=9;>8*1BqOqHxDIS&1d9=Qo=dULD$^W>x#)y}LHt#43vvh&
zhoGuG?ITF{-=v_`jY9nQwSWV`^ho?9bfojbi5NH$FO`(Z|0nqW8G`332;Scm|L3UQ
z$LtOfuNYx04)U;L$6{oyV_$*mL^;%9&u5UW6()7{_tRX>F~F2=95RTxV=7L-?vh(s
zF)HL%R@`Obrr3g4O6^Nb(oSG8pSecA~E+C`?$5kFRvLLsG%S;YDGhS9PI

 
+

+

+property tree

+

+
 
 
 

 

-class spatialpy.core.Model(name='spatialpy')[source]

+class spatialpy.core.Model(name='spatialpy')[source]
 
Bases: object

 
Representation of a spatial biochemical model.

 

@@ -3463,7 +3793,7 @@ 
Submodules
 

-reserved_names = ['vol', 't']

+reserved_names = ['vol', 't']
 

 
 

@@ -3558,7 +3888,7 @@ 
Submodules
 

-special_characters = ['[', ']', '+', '-', '*', '/', '.', '^']

+special_characters = ['[', ']', '+', '-', '*', '/', '.', '^']
 

 
 

@@ -3589,14 +3919,14 @@ 
Submodules
 

-exception spatialpy.core.ModelError[source]

+exception spatialpy.core.ModelError[source]
 
Bases: Exception

 
Class for exceptions in the model module.

 

 
 

 

-class spatialpy.core.OrderedDict[source]

+class spatialpy.core.OrderedDict[source]
 
Bases: dict

 
Dictionary that remembers insertion order

 

@@ -3617,12 +3947,12 @@ 
Submodules
 

-items() → a set-like object providing a view on D’s items

+items() → a set-like object providing a view on D's items
 

 
 

 

-keys() → a set-like object providing a view on D’s keys

+keys() → a set-like object providing a view on D's keys
 

 
 

@@ -3634,7 +3964,7 @@ 
Submodules
 

-pop(k[, d]) → v, remove specified key and return the corresponding

+pop(k[, d]) → v, remove specified key and return the corresponding
 
value.  If key is not found, d is returned if given, otherwise KeyError
 is raised.

 

@@ -3655,7 +3985,7 @@ 
Submodules
 

-update([E, ]**F) → None.  Update D from dict/iterable E and F.

+update([E, ]**F) → None.  Update D from dict/iterable E and F.
 
If E is present and has a .keys() method, then does:  for k in E: D[k] = E[k]
 If E is present and lacks a .keys() method, then does:  for k, v in E: D[k] = v
 In either case, this is followed by: for k in F:  D[k] = F[k]

@@ -3663,14 +3993,14 @@ 
Submodules
 

-values() → an object providing a view on D’s values

+values() → an object providing a view on D's values
 

 
 

 
 

 

-class spatialpy.core.Parameter(name=None, expression=None)[source]

+class spatialpy.core.Parameter(name=None, expression=None)[source]
 
Bases: object

 
Model of a rate paramter.
 A parameter can be given as a String expression (function) or directly as a scalar value.
@@ -3688,14 +4018,14 @@ 
Submodules
 

-exception spatialpy.core.ParameterError[source]

+exception spatialpy.core.ParameterError[source]
 
Bases: spatialpy.core.spatialpyerror.ModelError

 
Class for exceptions in parameter module.

 

 
 

 

-class spatialpy.core.PlaceInitialCondition(species, count, location)[source]

+class spatialpy.core.PlaceInitialCondition(species, count, location)[source]
 
Bases: spatialpy.core.initialcondition.InitialCondition

 
Class used to defined the place initial condition in SpatialPy.

 

@@ -3722,7 +4052,7 @@ 
Submodules
 

-class spatialpy.core.Reaction(name='', reactants=None, products=None, propensity_function=None, rate=None, annotation=None, restrict_to=None)[source]

+class spatialpy.core.Reaction(name='', reactants=None, products=None, propensity_function=None, rate=None, annotation=None, restrict_to=None)[source]
 
Bases: object

 
Models a biochemical reaction. A reaction conatains dictionaries of species (reactants and products)     and parameters. The reaction’s propensity function needs to be evaluable and result in a     non-negative scalar value in the namespace defined by the union of its Reactant, Product and     Parameter dictionaries.  For mass-action, zeroth, first     and second order reactions are supported, attempting to used higher orders will result in an error.

 

@@ -3792,14 +4122,14 @@ 
Submodules
 

-exception spatialpy.core.ReactionError[source]

+exception spatialpy.core.ReactionError[source]
 
Bases: spatialpy.core.spatialpyerror.ModelError

 
Class for exceptions in reaction module.

 

 
 

 

-class spatialpy.core.Result(model=None, result_dir=None)[source]

+class spatialpy.core.Result(model=None, result_dir=None)[source]
 
Bases: object

 
Result object for a URDME simulation.

 

@@ -4019,14 +4349,14 @@ 
Submodules
 

-exception spatialpy.core.ResultError[source]

+exception spatialpy.core.ResultError[source]
 
Bases: Exception

 
Class for exceptions in the results module.

 

 
 

 

-class spatialpy.core.ScatterInitialCondition(species, count, types=None)[source]

+class spatialpy.core.ScatterInitialCondition(species, count, types=None)[source]
 
Bases: spatialpy.core.initialcondition.InitialCondition

 
Class used to defined the scatter initial condition in SpatialPy.

 

@@ -4053,21 +4383,21 @@ 
Submodules
 

-exception spatialpy.core.SimulationError[source]

+exception spatialpy.core.SimulationError[source]
 
Bases: Exception

 
Class for exceptions in the simulation module.

 

 
 

 

-exception spatialpy.core.SimulationTimeout[source]

+exception spatialpy.core.SimulationTimeout[source]
 
Bases: spatialpy.core.spatialpyerror.SimulationError

 
Exception raised for timeout errors.

 

 
 

 

-class spatialpy.core.Species(name=None, diffusion_coefficient=None, restrict_to=None)[source]

+class spatialpy.core.Species(name=None, diffusion_coefficient=None, restrict_to=None)[source]
 
Bases: object

 
Model of a biochemical species. Must be assigned a diffusion coefficent.

 

@@ -4099,14 +4429,14 @@ 
Submodules
 

-exception spatialpy.core.SpeciesError[source]

+exception spatialpy.core.SpeciesError[source]
 
Bases: spatialpy.core.spatialpyerror.ModelError

 
Class for exceptions in the species module.

 

 
 

 

-class spatialpy.core.UniformInitialCondition(species, count, types=None)[source]

+class spatialpy.core.UniformInitialCondition(species, count, types=None)[source]
 
Bases: spatialpy.core.initialcondition.InitialCondition

 
Class used to defined the uniform initial condition in SpatialPy.

 

@@ -4133,7 +4463,7 @@ 
Submodules
 

-class spatialpy.core.VTKReader(filename=None, debug=False)[source]

+class spatialpy.core.VTKReader(filename=None, debug=False)[source]
 
Bases: object

 
VTKReader.py: SpatialPy minimal VTK legacy file reader.
 Reference: https://vtk.org/wp-content/uploads/2015/04/file-formats.pdf

@@ -4230,14 +4560,14 @@ 
Submodules
 

-exception spatialpy.core.VTKReaderError[source]

+exception spatialpy.core.VTKReaderError[source]
 
Bases: Exception

 
Bass class for exceptions in the vtkreader module.

 

 
 

 

-exception spatialpy.core.VTKReaderIOError(message)[source]

+exception spatialpy.core.VTKReaderIOError(message)[source]
 
Bases: spatialpy.core.spatialpyerror.VTKReaderError

 
Exception raised for I/O errors.

 

@@ -4278,7 +4608,7 @@ 
Submodules
 

-class spatialpy.core.combinations(iterable, r)

+class spatialpy.core.combinations(iterable, r)
 
Bases: object

 
Return successive r-length combinations of elements in the iterable.

 
combinations(range(4), 3) –> (0,1,2), (0,1,3), (0,2,3), (1,2,3)

@@ -4333,7 +4663,7 @@ 
Submodules
-
image (default=None |’png’ |’jpeg’ |’svg’ |’webp’) – This parameter sets
the format of the image to be downloaded, if we choose to download an
+
image (default=None |’png’ |’jpeg’ |’svg’ |’webp’) – This parameter sets
the format of the image to be downloaded, if we choose to download an
 image. This parameter has a default value of None indicating that no
 image should be downloaded. Please note: for higher resolution images
 and more export options, consider using plotly.io.write_image. See
@@ -4370,7 +4700,7 @@ 
Submodulesiplot([{'x': [1, 2, 3], 'y': [5, 2, 7]}], image='png')
 `

 
animation_opts Example:
-```
+```
 from plotly.offline import iplot
 figure = {‘data’: [{‘x’: [0, 1], ‘y’: [0, 1]}],

 

@@ -4387,11 +4717,11 @@ 
Submodules```

+```

 

 
-
}znc)o6D4+w!S;uF~6shGJGOeU_9ap})ak6J6*7_v6>ePI@;l00#=gE;%bSr@#`z
z5@`nAA)pp$z5t~F<&3r05qPVdyUoku^#=ScH1%l_V{`o1fz^3zTt<}iuMkGU$NX%L
zdyh~>g2r_Z}J;GwkfHDxFi0=)-7Ow_7yN&A;
z%y_^IiRJA&i(jNt$bSG`Y#pC!jEa|zCV-Cc`VkN_>B74;_Qd*UlpbGLAr*SaNdG-X
z`tQV$UL@WBDmFUe(#60!--M6gpvk`sqwJX0$Kp*)G`?XrzlYfT9*mhE9g``O`x#Bn
zD-9`6Sc63PHy3mAZ>s}~#&<}vF44vpqvM}5!_m|hD~4Z@5+02{3o>Jj#jG(8#g5#v;`!F5FxnV40#|c59jBXELuIYmDdT%m)_(bOY%|g5O=W%I5n#=v&=g
zd=mIM^Ah5^%s1Z>iMh?Ui9^>8#8U5(sKX7$kO=G9N&y{aKVFfgV9iGtAW+$HAmaz_
zI37V&i#OXc1e-gJ5bs>?e;V_3YXL4*@Z%oPvPjKH4^O^b0w9Q
zN>m#;rCwAsplUB>`b5ojRr4X}+P4ov;~gJ%_&{+z;X^}AMlpa_
zsR&0xwxXMR6;F`!3}{#;=h;3?A8n8!cPZOq*rJ>f`7BE1A^b#9D)cEAr9y6mm>6tv
zW(RyH&-hL7$b;pM!Ny_+-Jc|M^eG2jUt+K=F1?;mXK+!NBIVT07`Yh@Z%Y<0)9Y39
zSV%7qi^+p0d`DX&{Hhe_U0H061hjyO+jLL#PP*>{z)s-KnU|pJLvXO@pzFkFWvFa>
zzzz=OlUOxi=TUNi1xdZi@z$rv`PqC*A@SB3hSJAiXSv87$w#nESOiL6GR`l6Cn(g~
z3Q}2rRCK5{ijC6;m4RmJ^>jaISJnq5LalLZT*EM2W1(pq^2I!o)3-2gV?Ls+$2c%z
z|EifbeT%a0;3&*19v)n*OU0A{sIKPXqC=huefdlvopm+C>^aahK00IsTCsf}a%Y7o
z>jlZs$V0xxgjtj;(_5e(4CLQ{rMC>f+j|tYhl#MyqoSGm%802xB9&b#*L+AAG
zPWl%f0bRfG#G&<&;}QPCpH1s2%zACItzFyR=+4Yn(Di2wJ_-xEzSn4FaG%|V!=Zd)
zr`m9zlmqmhSWD8NEQavDhFFB}iyehxwXjuNAOo`idruQ&*DKz!1
zz{X+h?o?erMqZ3sz%qgCcQCfu7ai=Q%Y%JHAHYVnWdmFOj$qRl9qbL|!9KMQV56S3
zfh~VWu<45q_7&y9zPvivdy0jDKsWCmU?CMC?DR#4JuMIWR)RhF?!mNwB;VZwK9Y9#
zU=LUd#l+~dKCc(}M=NpjfB~T!F{Z0qY)oTqtWgsX0w8i`m8?WAFBj~7zmXpw2T{7RvK-}W&(S47jXyzdov~1ml5cO?iVzsQ-BzPcAR%|HF9?q%Y*tx9=bgvkjxq
zc8&LfbU{WcOITTPoQirWi_56`lSB
zOqb_=Q-Tvum;L~HHIN0IwYtDlP_P9eIkRI|!I+F8x#6MR98p{e90$rTIto4zg#sRn
z_Fib@h(*I9^>9_wuM88$MK6#lAt9D`13zcjzfb;U)my9qvbRaHyIUiA6`^sNSf
z=;{(zZXRnUk(7%yGjRmlV(UdOOTA;S4B`n%<6d9`P!i^7ZmWqY*n#x+0yHBs_5!Ad
z&fiH@{UUHOdYY2K?i9Ss#-8a|O=56Gt+|cvHZq@RQX6kU#@13HjNy1~F(v{G6
z5Z^OIX+oY}dmvzlSxk!t4P)u#GBf3aSgz1%k7X*sWGG~|$g%Uw4FA|UMD&GK5Iw6P
zdbNS*tIEt&vVBgAnOyJEVwQS`dqr9bLeF0h)QZ`6vCjHapLG^`kb`yBj9X_Fxusti
zMLe#vo=pI3Qc@|)S2=z2WF0Pn
zqxX-v9evAwF83bef8Cg!n<MkzRTuZK}-Kz@x
z1{s%!)CN{J$0=s@BMT55$?7NZ;19G`&K()4kJsDs;V4n0D|3+-OgqYvF(ce6kl!Un
z$ad*Ou@tvmS~O!9rLa`xe5ki7bRrVC@FqYrbHrkrjmOf=+ogDX^6ddWLVhP34+9I%
zqD5M}TLXH1H#;p6XQ1M|wtQ}{+UV#oofFzJe6dRg?%ZB1xLkH&TrS7~>B;T2nH{wc
z$-Y=_ueHhc*7!!aMlb;hP4O>gj~i}`Zai@<9DCvqTN~5$(Tx|?#yj=337GHvw!z58
z_13&#d&vQWov-{NnUW;t69#+hnl&&-*hgh2y=TpPynlvG7WtoQQSIjv*{fifpRH*z
z?MikNJ)T`DK!rks8|M$-kjS##EAYm#f2Baqjkwn@QFT3zeF?D|pOcmkZ4W3B>_VS)
zMtP__*gt1*gofws_ETNs>MWW1!t?k@T6o?f87c~&^f~S8AE`uO9s|IwUIQq!lxYDQ
zi56p#pb`6`PiU2YLcY+~W1wk74CN{Qk$gnrBZU&_eE&!#h{OP>M5Mi>inh^d87~#2
zlHYY|J>5SuAGMwuN3GO9l8;(^B%N9(ikU4s(GaO=|41dM#Q>;8t;M*C+6c9Kb4ttv
zKkDSU#Xl7vd0rAnp4a+E@{xy+q?5<3@!sJdsRVf#0F}tILNRY_R9Zsif>8XMPOH28
z^YYQ^<8ie5vVSBWt@ub9t(K5cC+Eh#>2tf^KVk`*F+eKO46izo6>1|`frt6`{t5Yr
z^>7@q_WD_AQ-Y7A5v%Zm#=-vaN|1_yQHfN0z&61~r9~rx?ckHna_jx`@KIxz$
z&i0Sw6DK~BMj?-}_XPh)C1}F{h@?$%b$$yY+f=3ZqU~KN$8YE@49MEYOWY9$rmfg35yu`EnG8|BB^oRLYr0|}^`g2DiaV!L(H@CqX_p}*H
zCTs0(V+6j!n<406<(wB0?y6INl2{_&!)y$SMBMo;*k~meiN3|1KbbLy8g&a^m+@Au%m1(#Tz)eG9-C>k
zM;lE@Oq@V^Vc;ir1%h<~jJ2hnfD5KR%GIvs$_#K3yekSZ+>QBmXyowTW0C5^ER04E
zh|K+0qfdR8Zt%B=a{Cv8(Op&b-p59y-vxcE-uq|a_j~q$fB5Y#5s}Ui6&^A2tuiy^
zgY+R{FmLn>43@M_Y{{xuCuk
zUK8lzY0DIQCQLO3eQS1sZ~XaDMCR-D4aCksz&cD6@(UF}07(6Jju|E9{
zQB&x%>`eS*M15c&>ceTk?X>zjCT
zvA(6=qXp}GnIU8Ru=>FE=2*pSe|G_rBia5Ue(pl=K_=HF_-+;ko@|nPemGc9F1Y~X
z2n`7sY14+Sj&IG_c5U(qM+BgVBOZw-+R`5J3!Q!4{DV{D;&2!=a_ro&C`ud(9*jKM
z=+6%yx3Jd}eD11MMBxYFt|hI0gP*6sK`%_!dpwDh*f^B@K&l!eT{YUnC95
zKKQNCqnp7MS@;z}=&o8t7XAzR4w40lrkpI8SaQjNrQW(LBl$vNvlrbIc_|e7Ib!fkqCi
z6pNzdB4Cv`&*;++BezV?AsF3Nt4PKL(07nzNJQl%!^D$IGA#AZ5UWHyb7V47p%ai6
z6RKiqSye!eNNG9Mxa}xVBCa}yOGmFDB4uY3^Kk*$PP4Tx99YzE0r_jAPdC>qOGl4j
zbXTn+Ah$r@K>{KXl@kyXPc8wm)LRwG4VgFuHv#51M=WOkP64WO%ZT
z!oZX9z)Ki^#k}Y5%cWu)Oh2Uj)?0c-te;;WzyR}9W^Am#iXM1fNo&z2ktF>z*-FjQxEVAtF
zwG;Xk%3#8n(|*(E|Ffw1bLH{l0&a;A%scmk<6At>?bh1c>fPD&7tnW*U_L-VxP%T%
zRV4=XPA!RdiLlZ=fJmC~c;$!AlfGYoWE4p*Jjjnx!s8uXJSr%{X~YdCf1_7Guma3e
zgf~g?fHze1hJ);^#q+2jp2e`&TGss%KGAC}^eOjR3*BGhj|!H)U^O&S8y}&Ex`*L#
zE#Q*XF%WOn1%p?<>BpkZv~HXit$NRy|4T*&WCbtz^$y};bXv1P>t(Hdv^qlH7{5vZ
zB8__q&{UO7eSHtSv~{8EWP#vQzqqwK$JW@9*TZ{=M_oN@KEo-l((rJ}Y&z*vaAxxp
zE_tAh&a=*t$qdL`$mBTybRR+{o6rrYHGGeb>qf>~V1adqG0w0)9iUnt?NF^+KTh4s_|o@6
z*5QKXwGP=$R;z;BSD%8=aOTgFJ4nU7om1D&8i6YAt+JEe4ZC2;&=6$1oT`L^8n-mr
z#ZmOmI5FPhvLSemKO2y|Dt;*78e_A6W6K=rbS_6MnV%S^R@n7*mZ@Havu-@>l4bS$QC
zo-<6py3ADjhv|2g8UF2ai0OA%z_d3={jM@IWr&8=A?MY{5>=DC9E_HF2iVppx$g9=
z#bAh-J?ZYUydg4>9$Y{t#WjcvvFU*`x)jNc_Moc8&$BGMqTZcqH>G1;ewS0FCH6N4
zBHe2eg3CSY4`HKlyJ5qXU`S^7+2|=Bi*3noOR9E*bOBW9LQc3>r59jl)OZFm(
zxD-i%4_YiW6nSQz>C-qPcp4R!Br$Z*`hN;>0je?cMGh=c)tFyv?mw8`Zy^D|X8bR5H4GavU~r&;3(%$D#B1thcP*gy$O}xC0*L8@sD_!bodk
zvN2vCh7`n;0mlqSJB}HYUMd_iNUyEZo&ET9ZxwD~Na;W7CdfX&)|YjCZ4NwH*h_ZO
zd-g6kSx~TIJ6DK3JI!X34&cP*$1{I`@XV{TaUPv!Fy{R7ivi|7_~lQ6ZiHW+p@BTb
zOF5~nN2h~|2ll3m>rKpV45?*gUYSlZ-T((Zc;+!eDQS$dms3Z^>Lb_EQw<_Wi3c#T
zVvKu)*rlm@XF0g=Q6QD9$&BA2r40>}J+KN<^yBr8+>|X4Xr%0=k3~EVq-S$<3Vo`J
zpRupTGv5UuV8jP!W_*x8F(}^hi`Y3HqbRXy0l(YQ$&3;ZE*}?`s+<w>}!8mZBoyrL-r=aBmXt**-g
zdVM!b{Vjw|XbCUKBE&;zYAFmBtLp}Uq35x>u$)<4@5E0O;z6J0#_C$Dc-{hxuA^K=
zmqt}XcV}z3jy(lPACsM2#xlv|Rvo*^wL$?}SX|m~l3z)weF_k%ih#~mfdFAegKpEy;MSy_HQSy$|O#KlaumrM;C+#%XS4Am+@ie+H2IU~c^sx)J6U
z!vZa{ALE2BG`Ehp7#1mo6O$c{?iiR$qb!tEFlJFT$*bw_aO8pXzc>Iw_2}$sGf;Lp
zLlWYClOZl|p9~foDDn(~TPX6o#1KjIKELrvvw<_ln<&R^X3@b4dGmSp
zGE+CSx|~Qav<0xk5i#?n#d82!_^cA;TmkVCxOgt3s>Ni~&JZ{$wcjKbh@5A|Oiz&W
z3~Urm&K1q62?+GAwcE8B5=*-eR;#8%`4_=ZMwomrhbSwm&hJh1GyqiF@7Ew&R@?6~
zB1(~l7)T#qTu<0jh}$TZ@S8^5o)XGIC^dg0?!^+SSd!XePYnaOK6?twnLTwAejJb(l44uH6AKUL78aJN6af5A2eziy_my&h-i^D!
zY&0m%eRX?7_^iavBTSAJhD*Lc$K8kI)R={)<1Wyw&hV4oiT&km+b7KlcQTgJgPs@T
zNNj!39;V5D2Nq;sbWGgq#f0}oozFp2-&$=%Jb#9&8(_;f>-A9W#qxIqo4)8^|EN6J
zKd27&?#*cnuEnnaGJeznUi4dC#&wSK;`xvL0GJyO8guO4WWN%?GX}timIwGz(6l0B
z^yQ716U$HG1e!t``s~s<{*io{`1weBCVuxDF_-yADv^nw0pK=j0>pSvvCMMSq;Xkc
z8pN&sDfu2u*b+yku74ySnfOQ=nf3sKf@TZ?M4xq$ztKNh2~sg2Dv@d_vx97e@+QlA
zm47lmBHbECq`&u%O~JVrx-1>wAIV1{K9WWu&jT?>`9~^28wNln
z+VtUVtPTEo`K0O8I9ffik3HC!k+>?Z&hLv__omn9u12~eoRpj>
zz2FCs4t98H+&4xuICDoOFN1AQAC5}ih_q!lMi+=1gH9Z7mRCBUsZ@Lvm~S9^}-4^xa;DH9bZcL9#GhKZLV)aNq%FrA}$o*Oa(-U;RlU
zi=6wPjKP#}?tdH`t>o??$5~CfM9C5bL!p1r{}#jL=-f#x?<=u~mBt#|#_%R{4Q@7%
zw|3yi>}U@%IZ>?BbTZnQs5d)}R+DR1Ep1bwpXj?$=-@FX{|=2DH&(Go^?6#3HM9$y
z;$8x$oArXkZ;U>5AB(}<;t8CG2u63+3Wp-;!_c>S7V>udZi|Cqh|(tPy|KFQf9cqB
zgO3Mh{BABEBp<`CjVr?W1)^=i{YR7;egGQzyh19X)8$Y(;>KzM)ypET87?zrHVF7(a$)mWqAD7wvn09yhQBqB
zQ!Mq?M{8EOg!JOu!s=|o;5PTrqQO^xzFwfcQ2hC;KVPA$1uG4@+AFR!GX*P6k!!yf
zMSs51ypUKP9odO_6%C722I$91^LnGtApQFqg3(>IiUNEi^c|!C8KN|e?_Fs=SZ1bt
zkUp$5pD8o^U2}-&dnzE>ztViK%vAe_>4(Y;|BE@q^sg&m+IwSv`TwUY1h+&g#uG!d
zZGpiORlm3v7)!mdMM71mu?vja7M2SWhT;Y0rUD8_E-+^_r;|bPv=D?gZK=1l_dGC$
z0ZcUkX7uM~ZABTsoZxd;ts(`lg1&>KKq4t81tyMMQedeUz|1N)L`i|#5Tw8y
zy;usaFF<>w6g*yBoRSN|D1T&>?)&La&2{k2d3a`&MSP78B|L>a{m#NAj5KV4ug={Y
z#eiHuK1Z0a3J4bUQ$QXt`g3!=A|T%<_}o>i2*?ki?;rt@NXiL_i6fVQSn8coo<}la
zsn7`sjtNz<;M`q6j!40I96dfcNS--*AxhxHe3a5JG(3345Szkqog;pyGq{_}a9Uho
z4ueJxy9$e<1Sa4?oRf_{{V7^MYlbP~;
zfXJ9I6^qQl1;mIHnM?IY1qD8=&&ZXL8gJ~>wNc#2C1x8Tz`Dd>QNJbT2BS~67%0ok
z^#r54Y88pO5&9027>THy#F%(;NsOi5#%dgriA}|hKz2;%ie+cCfGm-+bCve+nm|m@
z+ge^xT0gX2T!>fqGv3$OJ`lyGT$J8R_^^r+7WG?{K5O*pmJdagK0`3Nt5y-E&qLoq
zq9hTO6D1Q*E>W`7yS&dFlgU=Udj?@M;V%}p+Y1O6DQp{zciRN=Ebq3N!eu+xFL=9c
z@$Yr^ck>@kgNxH{(8yuSVNt)u=}@CjKaAX#JBVO(SFIvW1JHMnI7vk1#L2{yOPnnA
zj*sDpOje?rfgqS87Yo84`zr{W&1Z1=9m8?{5yc?h=F;C)=%Y6Ia8
zcmq(xQt@vRZxjmj7f~F@rQ|Z=Kyslf?{&HUPSrqiH8Uy+>}CoY_E^dpBIe&~*)=D}9F&ZkxUzAqL+)K)RIG%0MA3
zebAVaE|-Jp2k^%I?vpdKy*(#qPN4B->t;;bKSCt{_zpsz-h*0I&s?I(`6r-hZy7#_
z2szhgdrR0rwooj%DcziXQF=EFnd*UU>1PpEF-_#rw;)_A(|^WToFgthO2H`^5{rg1
zWTX!)qdAyJFBX~~(~QAv+5@MPx?W21s#RV78=F;8kXwzk?67=XN)_3
z77wZ`rw~>hm}bQv0AhINM`U7fb2v_FoLoquL
z+niQhPp}Q*KZ9CNku>*ZA5khXg(FUPI9*dx9MfMO8Rwlrn
z^eHRL1AJ&d0N!a~i`|>-SHkelY|BN)=PBg@KCwE$eaZK7S@|hkLQ@F7Sbvp&B;Q?Q
zK9Y7>dyzZeOT#}>iA&lH0JlLIpf0QBd%4j+CEum#XUCE0Z~PtX|xK+_tN%{Sb}B@kV-Vm4vo;;
zIH+4--h3}F_D{!$z?&JVv^|qZ@WP#*;;X)Iy3IePk3HC!k+>?Z&hx!ky#e!`?+@Y4gJZ}lAN
zQ!r_3z88ilZNlDL_-o3{ln>H}TlgEw41Zb#qSND`vMtDfq7c#?qR)crWfASag?~kv
zsrC=kBV~ra1{#I3bS$Rp6)^3+h5xKFGi8Vd|79*(3`5@Jk85PRCVE}d3jqD{rLj(CgODTU+2=iV3EoI{a9c=V)W@J
z01rLBlVEgLRTr38Y5XYk9i;adqQV!L`^wCe57LJP<_Belzkd!9{ht*O?O$O2SZ1pI
z!}Pw8mP-{AH=p9JjkEL$Xf#&~%p;)h(k$)EBX(SwnKDG%78op15$9T9EcL<`81;I7
z>;j{^Bu=+3Fj%BAKtC3k
zF{95QX{-~B?y6N5m=yXBl17H8@CD|EGBf3a^kISdn=-?{WDXJi(h7+7FEDQ_Gu8fK
z`h#VLf8QKp`a=~k?cKrLTV|#V(Y6H!OH}>hT3{^o!WI}+p~fySYFk)fOc;t6m?soa
zIC6oR$2?;HZP3N7cySJV9r+zi*Sd~ikxJ*nb)+DV*a3_5{`~N9i|!H7Xs#@}M?v2~
zYluWrZZ~h@$R!JwdI1@f>|6QBh9Cvz=*3d-aKEKs-tvfD8pUN?3N9utvq}LL^-~J2
zG5QOVf~yHWchxGE)E4MFND3s9a#CR8$R!1qdI8L=?isS>AhIDyfjN4y6kJe%_UN@>
zXG}IdZ7HKOXEpl-#GZPBBwrE5Wn2noX}VS^z@mOi!8?rp+^mf_=4-(}5Pa^cRixlu
z(07m&NF?Q?z{HVD3M};km|5k9C@D}If)tpe7fZn{1!#|yf`ySy?*~x~$OYtkgbAyF
zU{OB>nXpvo1O&%~s#tKo
zT|kaV!P&Lh^iJAcXK*){;k3BG3_&BuIXf0b2~0pXy^D=L{V?)XNiU
zVrGp#-D03DGq(_o?y6NJ=H<|LkiUbj7kWT|kyd
z*;z>0^gbKKrd*UhP57{i5*GDal)h{9>6Q;gl)gnUx~oh(M4T_#)o?iqy5guhtWK3PDxNMW1bYyoDPIW4qFb3`Ylc;7=8L-
zIia4!PsAeDt=E%i@uzvx{BL!grWz(xi
zaUhqH8ll6w=wMNlloV#u+iCRZW_)GI*+CGxt5%Vb>!9x-8Ifqp$%u(1myB5I^(FmX
zCOduU4rI!Nv{DR1^AVS>
z0$C6^b!O8O6@v0fQ3|ZL7tA^*EMEB&+4O!95Xj8)vEkhsU$P(sfM?VDCX0FQS2n$U
z7whuiCOyKyv+1qCMg>=aY}xeS@>Xy*JzrhP|5-LYUv*%bBV(pXJaIU*@I?(EIym(Z
z9et*rmN}10zxJC%0jYqEG1C)N+<=Y3sp!l`hu~?7EjF9p6~WMJ3McL!O;|QPT^%8f
zDV^s)dO6Y9D;>l(mloF(Y=iiZVjI8Kc{j_pDJ~KQX}^?b(-Su~B|BKM=@Gg;+4QiS
zWz)L}CdRVq(Wkk|rgzq8qtmT5N9w~{>fIgndUN=s;qCQyw=q)h46aTFv)qp(t#+L!
zfJ`Rp-Lcl_>e=3j*76}wrxmj6iS(16-Unea?e5y7-UR4Sq6X8w)nsD>p0-pU3>j}7
zU17WiNTixUI%5x}hrrnBq41BEc2}g!Spfy0R9`7O>Ahs#lREWwXWf?eOs(0Tn&{ML
z)?LsVVL6u9Nu|GTv^COMH#D?PVt*Y{2Y#NYHJU?^To@~K+xRSIYilBF4G|4_EuN~-
zi;#SVxaApwIes6l;&%xZTM|hr1!z;UYC1CSka)1=xbr6Lx*eMORvCfuV;IKYLDltq
zZhHXBSm2gF1Jv|chxv2mVg5`RnBBTdOp)L2&zLIxM}(0mIp??gj}Ble-S)+`fnW5`
zK+awCe;G`n4;TG^g(zni{W(_XqW!IiAjlD1c+q~<#q};+F#zTTg$Yj!lEO?*N|;0?
zLT}2P#=-R^Q>BZR04xLPpEyWj`Oy`Nx|P8B;3fP8r#c9=f5=dKJ1nfLpF4Z~?BLiE
zX4(v%Du1C~d;td-qqDnJFKn
z54Tn($_$@IAUb^-RF1fJ--7C85$(UVa#NY9_7Br9FEjk#LL;A{qOx=>re85<
zWp+1cpI-sd{$=)QWv1FcOs8dr-!_Ms9-lKz-&kg<{loO%mKpwU<`B~_tAJ_mGW+&2
zGi8XjEwfmnYI4^yYpJ)lwkTzbto}PJv1Z%iCH9Z8ORTp`aT<4YK(G8f2Y1$ij`@Ar
z8eixRkZ)P>vmE(dVvZaE4;Tb-uWh(g^V7KRW1|8`fN~mlQZ4fYP1I|hsdgP-!joPh
z<^ZUHU4phrw!a7FDAQCP+A)mlHNlWoFto(bLAKU$08s&9i2;r&t|u4(F&V`Ger3ZC
z;e_{4ctQP*#FJLib((p;^@f9NXYDzJLmvk_gu5Ch#tz}=)7%`wJ!WfTe0+FEqdPV{
zi4MV$@u0)E)yBaNcfMOXt8nOctGn01ZS@xTX4^BvjqSDe+GMmo-mOjZzcU*zZ#C=u
z%TE4fdZN*kA8XV6<4pGJ%!K@PXZGvP>{sy|sr7X40PECQ(2uoDYE@b`wgauzbzIjW
zfv0(G*-7uF`9ICGA|QW?_pDt=Iqv0tw0dl~j|PwB7|v1w^sVu$PR*A{LPQ@Yz6hH7
z6r?z7qi;_LqLN@T@nVCbuq
z3UL6#F`6+&>!z7ZRKVEIe9`G4|IB>J>VFPR;qWY!X1nd_)3uNx!c8+iQXI|p^^aGA
zW(Gb|QI%TU
zIB`&`Hmy(#zUb6?x_?eSYCScMTB&~|AGP>Manzdjk5__P42){jl2)aaT39NnMPGDk
z-Qu5-}@`QEM$Ujj%G#_K)O~Ek05lwVvP~uLQLi7?r41{&lOm
ze>y(&)fl1lP2ROTYVB<@?9TqWRmVT3k2%?Z&f{M*H%$8cWuOG+C;s&?x3g^4
z8TXojnu~j#0MPpo_j((Wm&d&_Y*27!3lS3%_j=q#;Gaxt3HQ=8Mv~50ZL*%A$1;%~
z%ORmfLaWPFA$=>d(LnlUFE^|y)GCR8zJ-!9DdMwb06(`XAH8$A=mq{(Mm27
zeS3ZCotpbjy)+^UhA!r=VhVe$HIqgY4#+Ty8ty05l2w@}TU1p8z5j;WOiqP*f>*JWU6v}(t&&Q;=j1?|Z^0QzO-#90
zWTvAB($5#L2ojRV`rSiS{jq*$GS7N4$l~ae6HZ7jFt21tSx;I`68`BEYSWDlTcHfe
z7Y=wX^5Uz+I?4Jm%XQgwGd#|Q%leVf$RX=k6ea7**)#I6?V$N|qfbAKJoxVvg3(=7
zmEZJFK%R)u?+ws*ko-zS<>c4IlS_Ur^;U;-g`{;aq7m3D=BUN8aCiZ_BV}O|JBW#s
zg&C5CWN@^;wKg^0?ciF;WNNiXKxV{>!UV)T?U{^XJ}w~Rgbko+{%tNS>bHR0Wc2Cg
zdL#oEkQ)g`chxEaax?TDBp?z|IRP>8W`73lIP=t3-*CwCV_GM#L%jZe{@
z4|il+T2t&w#+KH!z8rBk$}~I)cGdc;?aNZ(@#u26U$64LoAGddT#lAPBZtj~MQVSA
z`?CO>?MS0fKa6}yI-Fp1SFIvPM?v2~awHLzlOq#PE;+K)JGVNgWTMoE&On+>D2t_O
zj{@?J(!|%M
znaH(i#=ABZg%`Xjic`5Xy^c^}l_o6ew={jw=+iACiZs2CV02flB26EHzJsJmA}S|M
zCZ1fg>V8%Rwki>2w+1>}jBCi~h{3P;YhsVMy8mr
zQNN{W>E3#uZV^$WX%A@R3q-CWO?yJ$LDD1zm^9#rmDNPrMi+6b53LzDZZUc^1udUDQXthTZ2oz&E
zDj~|E!^1DQ4-e`N)9vR$yBklBcLOSAKS(6f5$xBZn3N0BmkA3l+GD9IOHgkPvzVKs
zY5v3Bzy?U$iJ<};t}!up4IRCu?|{e$kw7o~C4$awHa^m9=_C@L480n$M
ze6Ymkk1!`ZivUtA$jbDe;EWnloF5Ia3WSqCchOLWl=OjRG#ODL=zcL>iN3dB`Z=lc
z3aUt|@acdE34YTa1GoY&TECa77Ux)$NfbCg$?v-SJ!T(WSlm2-NZ?5oPQ*q9@n%X=
zg>x{_t2s5XrQXKCuq=$DJ63}LuX?-Aqq;^Z_7JRP3ILPQPvVTaazAqFy~Svl;EZdqQ8;JF7wt8z2@3<$fmAGsM(f3NFjShB
zii>gS(ZE5bN|)&5l^P=bGmGm9(jyL|NblE1JnMppVhz%YBK5h5C6*+$q&_Fqda^EH
zIm^26c9RTUc1UZ_jVzXH}(b4cga!2Aavlb!Tluq*N(e;bl;QwRc|5fn+YWV-RV-KT}<<|+aS*2gX3C_=Tf&mW?xbG8Wu;%U)d8@m((C!Tcpf}bsQG>I>cyp
zF=SH+rMyxQ(L(Zc`Y^&Xkp6~)CG?rj)+*6)PI#+e;V>@Y^`Q)}rLGl7gU)Z@E#KEC
z{sx}JGQJEONiKlZ$dW!=q5R{{Me}ZQ26l|?+6>$R7_Co3wEh-w-10{!)+SfBAw*JWzXuss}AEGD5=4}k}>+%q2!xh|M~>(8;HRw832bsi$L2Cu^(svET*c(yMajC
z?~It~38py}8-+8?LCwjb<|uK@;AnSdvc7Rkt2Hjxzr7Z>x7_d+PX+6E?jS=7haQD@n}7ggp1el-&}tUX;XmM^CxQEHt!OV*HJG
zqB5~uN=dMo%tQr`$&BU9Wd1w+boO#^nb4=XF_~A9i8&VVFwo&1BYCWXS-hWW5&Sly^D-pKxRI_SFCxP%_IE;PHBG3+kG@z
zx((V4x|~7#j{t2S4BBr%H^QK02q44jot(Ud2JMT;pdHJOX*)BWZheAoF2V&x7WE1r
zw$#u$-rBkqy<6fx^>SjeW2`YUmW-d9Z`#ZaXuBGiPT$58&>Doq0QSBkW9u3bHP4;v_G$
zGuK=U4-n?APEj6=I^>z}HsFAClsy6}cs8bqYW)@
z=h9~TQVfp7a{UEtw33TMvCTH{gvJD#`<&A1#W`v5d+SKb_Po`A2TK|nW38&TxbXP06j=l6)^p|@utZq!J6?RbY6#8t1
zeGt%KwZa|=5K)lL9xz$M{fK4iniyejo?tX}Yaex@>7$`pgy+&?ZkC=XDDZGPp8r34
zdQbbGJ-ycd?CIUKK&R*3H_>vmA3z?s9HCy1T8_M1>348$^Rvl2
z$WCwf9xnqkx5xW5fZc~Z-fy8BvBzVWpxwyboZy9fycb^B={6=Xb0Jv!j7SNJSAqdD
zH8>o=NQwG%!jA}Q@U^y0QPeH8mK%$O1CW%%bn*VcVgu>!_$TzmcREQ}5W+?b@u!R-=5l*_a14sX
zhUY+Rw2}*Q@%HqxnikbF(rR{VaEA=uwMSnCypGqTcpjB|`AJxlqQDx>5yvPAzkb^PUCUfOjXc1_xAXNg*mHnw|-*?X!#Y|5y
z)A`saoS9ZofY=a)`_PJP-%@GSBuQz3zA6|>b>A3!OrZgw9#;G}2)1>b{1hUJdl!qV
zMgy4W%Hn$BumW)##S(sFlpj_I)f8pHiUm%R+G4>r09@Z;1(q`l_OJ01S+MkJZY(&k^L1YxdSShqKkKsbHo&WU#SAoF-y}Qf
z-LPwn*9J2&5!N+D8+VF=A+-B1D%jw2f=or7BVPvrt50~>OPpRpM!3M
z>Bpf_%+0iNbo4XVY)u*aPX;IS4`{6)Dk`3xY8T
zdtb@0H1gz!PNJ6zhSTB7Vk){Dqz{czYmo5XD)_>7(tng%igp#x0i;&8oSr2+
z={o~eji4p@jHDC4P?DcBSu2r
z2wI1>AKC)vAAfv;d;~e=Ar7DA3BlW3ShlUPy$*Nwp;X!m(d{HxrFSE21L>zZh(h7&
zjAg8!utuz00HQ~@{bYvQQkLQJO|>@n_6h~2{v;7a>g!uESQ7T(H?Yx4E*8c1;X1BA
z;2fyirk8%M1fq){@wF(**r3~s#&aA}dx*=5ytxrp@KDrrcs7`yLnB9WXDm{+yT$3G
zKfbdEOi^H+KI`aSc7WcWmnp?t1B;=NPtR4bw9>txZ`DinuP|Y&p(T-&OQ~ey2z0&m
zF&#_2BMKNnBCl6e69nGu-)mu!QTP)gyq^X++a>rA9$RP=IKpkV;KCRh
zUvSsVx#;HO)bt1ORw!eLbx!+DpY|uCrp?#mj}wjD7>Z!NJNMHsB&VN(zJqx0p9u)p
zT85=6IicPOap;zKifstW(Hy;arTb6;N)_dZOcx~~-qA($lQ3$9HSTZ3-5+9?A!Weg
z{vhS!iGIRz=KffAAbcYC2Ys3w_s1am54N|)13Vuq-JTEVpn}swB*K%Rkf0iAftK-7
zA;j{#WK7aq2_Q{nbX_U~4~7nxo%CjQjeCO-N;~*U`F^sAq(eBT`SA(ttM~+PBF>|r
z47{8>;9vl^5AJ{qp&Q{2U>Kk+>!F;$g-1ch2zNlY)vZCEpVl}e2o*6&qxuz8OP6rpHzhP7?`cPUE}`YzAVS8B%}xRcl#gBoFUj$oseoZXA}`U6*52+Oa%
z3svK-BMI8`Rs%}!h?x%AiCt(>U{4A=5vLuv3SL81i}!nxTZEUzOixhjrPwH(TKtj&
z`c&+j1nW(ce+Y(5wbWt*X)G5oE`x!s&WX1`K>=Zj0p3_#PcQ&tGKvBG77Y)f5t1&n
zlfMx+gM@aKgteGK9{_NDr$AWF%%E@MCo+TR)7+RrXEr7#TkY=fM7=ZCXbrQcxZO4p
zJ?NdqgF8|w+WM?uCLPO{Ra>`%2snbx4~fRUB2p~(PQU7`V<6DByCGRcV6%6eSDn2!
zIcv1u8G)GhZNp&Mjnp?JvSPC8?6VJ{qTVvmq<1R{s{)A6b
zOOlcHC!>|I=KZv0E_>er^@&6I7@VJ;jNJ!yeS1C8AbSLp%RU*786Q!p11G}R8&j56&+O)rBvWk2ZiSmT|C_e||L
zXzJ6X#+lmDfz|n$niV(K=aND?({IvxB65ozF+9;4of@xq*2#_3I=o)8j@gm3y(Mk%
zc8t#UM7~TbdpM2h4Az`6{c{k9J{Z%R5P9ruZ2^fDS)>ngfiE`bFCj&b_XB3SW00eh
zX?*&VFtsn8#>a%zm7JUoBNq>(SL2_kVE$c@r_;(>kZ*nwOyDp11OS(%tb6tFj-P(1
zKS_kqQqYdUmarOI*k~nJSH(8|i9&xRgN)ikm%(aD2YdM8k|%P);|t;pF>LA6J&Bp}
z;*-jL(5G~B)Redn@p;h5ai)hwDnnT;U;RvPg)&RA25Z0R@cy0AzrKnXOR+fPyN%#=
zSFK=4r>}v&RiEcm@%ufXb<^KIup4S1_DI4&Dv_2u<1=vvi;wk;&r>R3slG;&t?kwXzl(!rIxiM1UbcBg*RnkT*?$;=A0qn?h(LZk
z^7B8$W1q<$xw&6@PzmzyfsMk+f3P%*hWJj0{b5#T{-6hB+Sx?XlopwRVCYq~mEI0$
zk2oiE0u!Xm4h9%~hAfB`vCV^l5Hf0>@8|w^(Fo$c>sLV_xOT_)ykIg^mAhTpY5_26r?@yJH(KZ#C;{
zlQB%1+2vnGTH~$uL~W9P#T&O9Pg$FE8{P3b{|&Awj!%u&M=9#HGdvE->Uqgjr#=i<
zc5$5X#+Hp2VT$s#NxR;iYBz`J*O}q1jcrryIxDkAq%P0E6q;H6NteuRKuPzq61amM
zk)8CeoB!h)b-MYz^9vRRrHB%P`qq7U1{yEccJE85Sdfr^)2a7tiTLPP*qzW6HW+8B
z{*Xl*#c1$JAF1ab>0;={bQ+}_;73@Q`AAPtM_P=MBL-t%^zmNlAMdH=c)bHUQ`c_!-DggV(~_+Z~Ekd~kv1EUh-v{4Qu+xD?u;@MkRtB;<7$%33yB>$$*?Q8xKOOTTRQi+_0x%YiGq8@0gE@o{n)RFK@KN5Td{#hJ>|KuOZM_@iu
zEP?kqq~8V(10<5b#nt(_XSSnGrw#(p=O=D(|D2!09Xgmnm^wt)gpb<;7FW+T!D=w|Da)i4;;^k7#VO*V+)sn)^4xFA+b3;u%_M`3W|vMepMu^%
z$VD$n#M3YfS<7c7c(8zHXibblwu<$HYW{iN-0{Sd@pH2pDGWzo$$2W$0?CrJwQ=4Ch_m^oATIw($A
z8U-Xquh?FU8@5tazrez^CiKx~68kvzecnY@_yl?{3_-`e$h69>4WJ_>&l{9%T^
zk774Rvr(aKdlCW@>4#c#8+>9`r;*ek^Gu5nD1i>cSGeL(UES8!J5%QGWf5YE#8NL68
zSFeTtK~DK6l2!hh$t!-L79g{t63DGm=e#!m!sJ(0+BAh9#i%eSlVkc3K>%szby1%A
zN30`$CAsEbP`2?Sf$)Fk*zQ)Qk
zTJe&xxIn5SmyETP<6Q2{He<$f&C0_Y?&5(;+or1UZ0Xu4w&&K_Hkzf?I>Vwk-3r@I
zA)uBm)eS~}ZiR`c<+}BHg3n#Gif+9T`VP{q5=lATYU0SHTP^jDC}4rit}3bt+RN;}
zn7u~}5F5$f$I^jXW)5K<7WNZ=(`#G1HVJPzlr08U4B0RpIQr2|jn#DxCcV=sSqBC6aQSZQ{tq*_L_-If$Qew5tYive{oTC*NLx
z$Vg6xy#Bc`xMUE6;mD2pShkKug$_hdr>#er+_JWoNz9V{v*a+Hz1=*9sNv$W2pTzzY%Gcr
zm&J%8u@bN^I)sNAJ^CT!OTobep}T4ofjJ!d4iXrNrkuc-SaJ!BrQW8#GnGVlum636
zkeYKS7SjLjuaLgUcBq&P!m-FWb9|50!JcZPcN?<>fjF`TaE!v@R6!I+a6?{e&!8-i
z*1EMpTB5|&0(e1Yq~2LA?Ol8_97Gq~=Sgc4TXwj>Pt@q7ras!}!b#1R8M=o6dnNu>
zy|LQa4?MYS+Y2QvNw}|w5*;qwmy_sN*Fr3c6K+JZ6mI&WL%7Z8(JiscYB)*|x~o0ySb{t5}U(TEHfeYyDI7fD^9*nS}i=
z$@XNsHQDYqV3lvzJFu#E`1x&igl1jT%_tTw^XAWzP9*KGjgloU?XMyvS*0C|`YY}4
zHF|W5up;fZ6NK)nRiyoW(07ouOEl%A-Nceh+Aa0Y&P#g~<4E%Ns`do(Wx`i1U#}=2
zOisSMU8alKN!Un$_nqHp!*lV#t4U9!s(ri2_`4`Z<`)?s#zqCl_{#bGmCR`-Y!Ea&
zSOf^$H8i%aMK5das!f8%ht1;Icx8J^#v9K~=NUuJP5;2AD+Y9>W~M^|5d=vn)-)ii
zD6%M`fIkHVK{28NDm#My1oIO&P!rU@3X1>lId^&Y-g@u8_o}LUCTKpHnOE=K<=k`5
zJ?GqW&b{|C#z!)^B$cK7B)-YT?%v+j)=rgAm1}FKN{G{J9J96aEs){9)1K(N*xLD1
z7?{}F$xlnOwR1c6la~+7;l!lrYRz-uuXD`P1@U`4t;Pn}=6Rk>f3(^w5`=XekH5?Z
zJH6AHMA;5@dY@Cv;pO;)ov14xFPjHDy-jz}eetGeWA)wIG}&Az)tjBUR%Kz+H4R)6
ziyJswoAglvI9+F|wP}1j{?MKA`GuWSpxq?b9u&1hVxhOyesqg6aVI*R;*=0aIXQ1_
zY4uxrL~(m4Gwy(m&=P)}+Uwnix<>I4YYlrNsPoO*1!{kT#Eo9q}#_=w8T5QoUs7LOAz=l)rddTdc)n2Gof^m8zrdB>GZyC+2;hLwQ&yjEy{gdmI
zreg(ZCrHSbCFyx251N!w`(&!LPD-NmA2r0%fS=nG9cYQPaN7
zn}~cp+BU7*74$nU5m_Ut$G_s@D9OJPQ|_#I4$w61CKSNTc3bmWzHE1orl8TVyNR`Z
zwh9%M2QZz*MTh3MxF5}#43|uGfesQyb-DLd5@&n+U68Y9;*jT5VAg0j$kI5YI7
zqzdmwwd~o~$-rb1U%!pce8wkc6SK{4rI%BSbHaZvw(*K6wK!LLKiA@1Sy-AKVixC&
zZqK<(^j$2@|BasbC}w_In#K7}UPHCojj7pI>ws8*Wj={{)LFloR=C~d01NdClUpq+
zTV|P;>!)L}V`_(N%k?KawH%=szg(xTeB5m=*H6|RbYFIqmg_Fnd1-tyQhwEHqkCoy
z!>L6@>^ED;ZPa5NU;!T?DjcKsj=}=|YVSC_3;3s_s!xVG3-~KD7Dq8!s>R}F$rteF
zCQtI@Wqbr`&oX{BMl*zEe3ft~m+{BUl;XwwT0ll3D0MMEEf@25l8C?aPGxEq$06(M
zqij`DJYc?q0TG1eVBGLi|}iU_*&=Rm(Q53-b@`wFVGPD;$a91XX@vrbM1;uw)WRw~D)
zbwqxJ6i355a}7i~8s3IV362K(WNP*pgWNv-nXfC9K=QL@Ot#5?&1uiemCDiZVTLcc
zsA<0Ebu@egZJU<*3+Q*8qd_C7$I;;8D9ORhqqB)b{lBrHGNJqmzP^IiMaeF35gA)DF3#DpZ3-taf
zM-=U^J_x=7cd=#03={l^Od3B1CBX@ULne4mU&B-L3{MgMDO4#t;S(JP1N$1bXNKMs
zR^exW_F?-P5+&GX!05A+$*`+}(Ke=+Q*wgvpNnn0QcC$6lPEV+I?Db68?!Rl
z5AY(t!IPA)$H6uu&pB(^HXp`Idmo^zvr%iojls5jY@b<|txnVX;W_qP{dTjx}#pBpW}
zNEX1cluIuTIZJEQXu^fBCeWAXpttkWMOm_sB?7s}$8s1$7=n-GduWDKF`fJ-u)^!%
z1xedf2ghyF!7<)G(v~aB*-|^0!ZxHT_7l+#aAn#a+A@Ab88n9L()8o(m1q?Xdxs65Jm2$wcd*ZjY;-_Po5U+#b(h_>zm7
zD~Y^rk89Dk>Gt?Om^Rk!p^?<%_Hc2O~CJ6$4trj<|!DjS`;+%LH{iG3E!f9&nD5MMB=N*UF8M%O}Ih>K5
zjK!r(D;76Po-SnV_tB(JysSL}vd4*a6^1(mC)T?NYcf&jXl-55c#t=XUk#W@$fSDE
ziqeC2-L>`V)pueGUu_zPD2k0gdvCo(+}2J8nX-_wSJ1OD{4hZ?5`IturIer}!(!5O
zjumu%AVTNT`?-EE51N$a{VA%nPRgibBthpJxdtLF=C7hsf~Sf;nVK_oJ)V-F^G{BD
zUVc=bs_!y<$wf_zKCh?hF|=)3^zWzNaS1vaNj+B3LI-lgC=_}xjSFvw+n$2*@R3{kZ8hAZb%03gvGbQLizOyLS
zA&R`!A}Z#s3Bi439y~C4FGmfZ;bD-M@HJ%e=1j+VUY_A8GCzkZWhe8}rQ_5yLvMTuS^twCAm&l#+GJ>m~}d%
z+mnt%-^DupXX%O8>HM@b>-0^nO8WqvyH??Y*OC|NIs@mz_zWDoodMS9p^Q}94HjoA
z4S>*GI8Z%QYU=clvEWdnCa+STE44)K%~(+H$al@zhJ2cm|4!q+rn2WQ^;7MBm9^`>
z)?$=bn7;{9nFfiiA2O~me_c1yy?^;Laol0|u5a&L0unHKoy46}tbVwJoxKxN0M?E3
z)+W#wG;ZTu0N$nZAEByGWI5R&f5^q{Jf79kT^%zP>k~$yf7|f?UH|ZZdvN&Is7WTt
zWu+jUfRFqh(DSnm`HJ&>Q^Sk-{}QOons{`Yzb9Yfk?bj7;?X*Pe|;n#2{4jXO$Jt5
ztEFHZtxlw`idf=@O|2dNG5Kx;-HNL4GGwLJHU6G_)RH~rqt+e%{`#Pn0AnC(t(J-^
zj#kIlJBm{DXw&JSe>6Ti&E%ugg1;vpon%k>==4+m{`#Pk0AnCJtx0VLVit(t$r#^u
z(yYwzr3s~GCBQ0tkVw%hY*}1RWA#=|ej8
zJa|$b#)DL8ot#<;A)Wj;TEE*`W+Q)j9`|ULYV!-@>cjZ;(&xg7o19_QYM1I$ynP!d
z1In+IM9;^z;$}{|pJ+WY?yF^-@wy(K>h^4-T)=Mc_G}dwUr&aWsdjLGLleYFk(aZS;-2$XixV~Xtg6*vIW%io$Rq@F5faO7#iC&Mi92yhEi?7b3B~6VOsDVz#<7{Wxghez)J
zX(b;Xx&O_>kPv!iboaZR4OtZRa!s;{M0NmeEPhD}$q0usxBkUk)Sp|wU1h!&kx?Jq
zOIM|_bSA+Ip<8d`LS)>|G)+0OByy>EtPs_XM#;YVw?-#(?|%|q6S>!AQzmT)uROi{oSs9ZTm}bzP@JwcN|7kRE1c?1
z$MjT6Q?vT^T!}Ib6{&)LK=l_E#$j+%!
zcTiBoodEnUH~Xi?S3a4Gx#R@+7>_r00??;nPk=8wZ6=3bk)*4`bx4(4e|7Z%Lb29(s2wu3n4>Ph=ZS(D&IidlD5uIl@|a_%3Vq5oRZdL1p?vklc8kf}Z%mXEQE92%acj|brir4_
z)H6|BEG12pm~zF;3=z$W>~$~&+&jSK}lLmTC3Q+$5avP?M1$Xw!LQhbtr?N;5OiriZKT*~mwagCm8T
z9^5rh8xbQ7)C_p*$Mc|zV;%cY!#9y>&Py&Jv<{gIa&GpyH_z}?D1Lz|W#@(ylv6z>
z%mG64XH78nKE5t9R0Eg~qT@_r@l{MGuNY_2KbT%lk)CikWYVjXYov{-e%h%0XlB$B
zpUUa~Yg8#a!LJoLN%|n0yAXcE)DB<)Y(CoO)_gwK_@(vmM@+0_`sd)no^xxyh_*8^
z;U6*(NqU#QnpOV*KRkJ
z)~2UN%x*Uhb$E8W(RZ=i?Tqz!;@xiirzarOfI
zF%CEAu137RiL>t(_oKk4yVjXg-E*Uip{Yi*A}>T{$>Qv;VI1ozGx;Xn)^{%^P->wVVl_Tw)!TQRPsS2OPx_-}C
zu&Z2YO&vgv*a7r7RoNNnV!`@7dw^4J=j`rUUCW7^UrwDFNetPp>UxG#%MpU{C+$#I
zE}xk+H&5ERRCjQU(e3-1B&TT_k24dh$Z5}eEjihWdA1%|+;+QSxC%!hhpX|IHR%*?
z{sTfZ!cBM=HO48$C!>Y}O>+>$y)|)cNTyOCc``wAP68z1N%)WiOuy&bTzp`zQSQJu
zuu0=~6X7=c$&(K$TF5G?mKS-Tc48OlgL^6O%EVJoQu8JZz2Btf*;V12&;j?2-soKB
zV~9sNZ+EMtZ0gB2S3a|ZLk@QaMoOQ?yx?m6Q;0pj*@^|NNck&*#a7EkBFPfH0vTT6
zu$g7=cenT5wViGF5cMM5s7AUjPt3$2L;&;5e1ik1E!6U5Bfbu8`IdV&(^{6|&!B4l
zY{ZwMmPjfk^&zqmvm=6LjmTC!)>xUi$EP%C2I8`^@Ixpk&vkkkJwl}+G#V4H?-2Ld5{w67sg6)joA-=yA0!jDQIl;vYHld1O92)4wHz_!YqYN0ge
z)N}_Lv_h~e7DX1VVFg&)MVNGd0sw?b_j!6^gOi^UOuA4&4BN49v+jJA7#tKi>6U!L
zdb+Xz!o4QOu^>F3Rh>jrPuiNvCRVqg+9>uOY`8TtwHT&6W|p*#?bf)NZL}qFisA+)qpaCX-ne3s1jhRgh#>DS|`>)!6{v)=i`uq(Kz{)nib7
z3(PdAK}CI&FeHQOC~_oQP>;yTk!nGm(`!MAtvs3Sqn!@F*!IyGhJ9oB$p&o+AW?!s}=hGXd{;1oJN&ZO=IikW0nMczC(7BuPyCMjX1)La-{
ze8X|aVKtBc*j*HwzJ%^71%ebW@~5UTn>erb5;)@_PY>!wx-U9P28qTu>wnyVqJ1je
zGkOsxyleJ(Mk~1(f3Z(yGCpAb$zL`W->nf4=Nj^!2lTV3>XXUN@i=ei;x^t4TNy-1MbL
zCL~S$(?O6n||`h{O|J_#^j==d6;)&
z^?I~z21&mIR*39G;t{qCM?!%pYd>N5;Wa|tfg&sRIo9%?enu)gN!d&o{;tvQHmBd)
z`sw%P92gFFqHvBKn*?m%82&S3r2CzbR{9yK=J%dFG?(3Jngx&C|B$;&G^X5znP#QO)t{MX74(@yk<;W|kv_`AVSF4yVS4
zFsUowq%lL7Kcze9-gA^Zh9Lj2qL}Z~qlt6>Wr<=&_z2%ijrB$`Pcj&X&3TAt>zys7
ze?0}HOtH*ZsFvR27Jd}K+p#Dzcw{Uy0;Di47!=Dqx~$2by`PkH
zObusl>kVf*p@|t4>{pzWInep%5(wqvvW$i9m=WmA)}5{Hrn!;5jI0ww#`4IYX0Ep*HBA1y@=;Ta5NnOG!tal^cY}I;tZe6
z7q%B{gG)%LF-LzLRY)UQNnU5(T52BTgJ0E}B#L;(e$&z}Je8V;(}w=ZYFts`*|9LY
z4P5jatQ<=XR+62gFS>b}GeeauKp`DMTXkD|u|$-6F7T>ARCC`Kvb?yrwb-a-zro7Q
zUK(c%R*vaLx<7IBOb?ChqY|&YUgIFnVDZK)uSQj$m{dVK?17~{f}i|
zKVz|1H=cN9#Ax9jf^oUxm1p$M!sL);1Z0mjwH`qCYfZ5UC$jBdMo5++OMwSg1EYkJ
zqZqP$lk8u~HQRJB$x0emI@=bh(mF}bp&eSi+#$;k=Nh_n<^M7&C4?;Llc{Ir@}K&PDF^1Yi1%PK%j1
z^E!qwx#%Es@Mg4~Ny=$7^-K>JOG(osrraRG#%R(E(h4Sq3s?G7+L%I+o~h(*QiUwv
zoneB?kR_QVDXVZ5vV5JG%fD`%MlLjTG5nbEuAA`=>DT09U};5lsZxp+WrQp*P6=6>
zISyd9ti>aS$yx)<@yam9@Ps~yI!~vcTme|NhjX9o4FmcTBi5fb7>Va-3
zF-INs;|`j3sQ>-%0$?%$Y_)i
z&j_?0AKith*RPLGMLel*(pMDmJeDL3y9w7z+NQ=om*YT;`y?>RXJ{EPLpu=T71WD}
zhh{$q!k!TiI)K`uEni&p#|A3QaABuf*09%l=wK)%tTx&x${=@`(p5{~7_HTw&PMY5S;f9=$A7%Sckqpo~2$uz^hp*!fl
zcrXK6O|9I=Whg2PE8*-1dPx0RUlCHm?^9zv)>rrRUUn2psrQ2x7Hp2K9Ty@iUQ%R?
z(#OKruQ`_E7>$zve4-&10o7xOeFaDy)DWY-l_7Qva4OqhUz41cYJV+d{@Esnqinlt
z(EPKV)OvsUXS*E0Y}u91&bpka-{0XJ*P&{DJ8J`K2|J4zuaEq*V}(bFJ$%YQnN@pH
zPMTF?^yr#Z^PGgH6VR}k4yT*b1?0&a>k5r}Z6P?^XdVNHyiaR!)^IH))G4`5hg~$0}>(eLff&^IDPI|p}s-Nesk!y
zq~_2m1s)~RU7TXP=>#v!nWunNX!f|!x|g^LST;G-l)9IC>7G$pzgRai=plpyTUZ+H
zY|t$CIUsM*h={Yxym@tRL{*>ock=39&&8KAukOSBkL8#98H>HZGbN51x;zIY;~k>l#p~npUl{XW&8G-Tz9V1rk^}A
zA?isCV{%c`^OrZd?kQ;7Ogs4&SRpb^iAUslAOca@lk2wiGg8^fAjx%C_tWn)a$q>z
zgu(+P*X6>nFS+jSenzVKy(fFfW%s1)p_p<@mR#rdm8_}6N&{Qd!M{FbP8=wdsR
zAAiYpKb4E_QqH}UIUF?YJr9IF<&twz9!Wyd$lIJ2lSLPiLrS?fGla=SO(~am4!#3z
zXOeOnO+C}Y#ZuDrh$%NnTAW@k4tgGl3s?G7x<7>=JyXfsq)M*)_Y4zMW@V9ClHy%Z
z$#s7v=JK$T>mJF)z%se+n^Y;qiZYVx_9P|OCHg#Kj|3UCnTWv#Z3(`Nf6jw9PSSfc
z1CvR1Ap8!Q9dah=Jz=vgDU*d2%?-&Gr&6WtY!M097<)58-d>y;t^tH-Op;!rDRVvm
zO3}hh{imjvQ%QP+#$43*OCy=2_m_|xrtb4oRGz${)_9t#F-dxCBzltc=(~uJJ`V#E
z5mJ8YiIB46Do>K03LF4D9bmGNk(#78O)zni-i(HhpL(DhN|K(A-QHO5KX$9?4kLD}
z+FFj-?ft;8$%5Hpx36$&IgA@0yQQvtbI6R{-m5z}YOz~Ig<-{R->!!g=OfILITs-%
zd>b|9iQPuPJF#2+L2F))-M&8sxJ;>ZvG6UugD(64fKQCwMnLuW;tr!;zrHw?L`Qu?
z-EtD$(Ta>{n#v&8f+Xfqjop4h0-^k2mOU}>*&%;Ut@jtZ{R;;$TXyA(-F^dY`78~a
zD=qWqZ&5XW?Dli0B^+eLc#oslt;?gt9zJD2bBdD5zK?Q}t^b%F-PmnADRx_Lw0-g0
zXAL8MdvrS2k~=(M3otSguAqN_7&X;wj&{86M>U4)a)Ck8rHkRJPSaz!s-zAkS}|M&
ztU`097_QUgP-D0kdFh@phWj+#$We>oIye#rSGe3U++7+GarT)vhI=`x`qY35WXiKq
zwsY~NjN#tZ|5$GCXDs#t&y+Z7=rV>Iaa*{JU|jYXuFGq-h9<{}+Ob<|{b&{r!+ZgV9a}8a_Hr|Cw
z2{ByyWGZIM2JSP4`*EjDKY3(y<2M+_Pnf&t-$r6VIjZ
zB4YXj3{1px`Kc#j%1*32@mv*50C+m+WFsRrp1Wq7f^IE6@qS!>>Va-J@!T8h)poU1
zySjmUv)WZ8wB*=}>((74p6j-?9P!-qfnk#cv&C~aIJF$cjgRM2SH3x9#&gfp9duta
z*k0VKAnueRZrYyQp7JhLh85p^x*lSj|1e8@H$qalhZ>8C@Ad*O3*&`5JCj@!
z+h^xGt#(kIo3B;oD)lyBb-BJYKVMrY;-r&GZFId1?2QG7XRA}Qg>to7nPR<<@73ul
z@5`+OTzI^*d0%V3GKH68hZ;vJwf(_d2|IO<=u7T?X-NQnIk
z6ZS{KcS$0siD}OnGcqG7c+5&OgPr<~4R01W9}V2|lw55Yg@!M3w)eUv$GJ(zDpa6C
zH@x8(vu+f;WJ~x0*6ZR2DyNvdNA_gg?V#=$@2-@X5E5Me()`F)#~*l^F=K%GVcp0v
zja)lky^^I3qs@-j)Bgo1~~@BFB_fT)R>5~Fuf7#KSNcY`cq+A8KM4K#^N%n
z8<8mdD#18VR5!n2*gZR*d6PHjMgaF1i=V&%`ZX3qR`t9=cjb0%FG`%SiS|2$o}}Qe
z;o94AXGLhbs;emJ#7?^5S!yv-s`PWJ(W$q!66?3R=C|-nzz=ou1o|gWYEk&x%m6&t
zQ)Oiz4{wp{M6%WV41y6g4^SAaTKKjQCZjk
zagSp3SP+wMz1*Q8yi7yLPdyM0#TjyzJ2m7I`g()y)a=*la)vx;{_er%h
zeG;875okU7^m^3mSDz~93-wLQ6>`2Di+s!4?j}j&RPW1joLKu#35;3>+WwjChJVJH
zWcsI&%(v1Cn{|P>G}QLsyq|gz_P@KrN^B=`DDiClfCH#4^78q3egSRyYz>=zt>D#1
zP&L1g=dGwEd_2UV1DsfU%rZ6ckx#iOH_#uVoOA=dogQ5`&}QLPna07Wl_OJ?d2-LN
z%ZKdSQnjZ2K;)+B)GFGN&0kSV-tdbA$w>Hl36Po#Hj6oy9&b9hF>W-ro##|j2BH!I
zFc7usuq$Rd!S-(efG}hKmY&#*<);KAF%%Hf8oys(NpSNucQq>&U##pbJ*kC47Bw7S
zNOWz1Pz4^7tUDoED3(j@(pXTdl%`wNdn&uPY#zgUW^TST)jm*%0BY@~Lm)%H_b1!XB+ix<5z5IRoj(~81=!@Or^D{HC3Ho
z*d(dE>0p`A+8bY^LgTW~xGbbtf!$04n{elO(UZl5i^dJU$MPqY4>u17N^SC8z(
zOXw`w(=BFC$8XuJx}rzBuS5R6_PTv_&un$(=NrxTf!189*?vK%(XO->A0T(k%_a!8
z@-m^#K(jM?rFb0aPO*xqF*^@Mj!QlJ0JDF=OKElV5RSE9$_v9m+
z?8zn@+4X90C-M(_WHw|0pjGSakFD_$evDRU~UcGfuQdNv8A7xUFW9r%75K@qG
z=VJs>k2CMzv8))>nMZw-+kl*T%eyvVH{JK;$|%)Mx4Ab-iq}Va=`$tQK2u`pARJ^F
za;NTdIMnvdjhenWYpE66pY4!)1vM=eH0!*;I@aTZ4oJ3a&F6)CIok5s`ZnKLUbsb6
z&F_Uff?C20N312ha4DlFZkGvIM}Y;20elO2njLiZ#d}arI@Ru>N7t#g;b3_qEztvV
ztG%F8ojMrQE4a6y)!taIRA*)<@w(P%9PG?%cUqn*TCRq_LcQZEC<%n}b=X{Dt_|b}
zj>i0s#ndbAnyt11_TL2a&BmcBTt2v#0cmLE$`SmHAbKfiA>@wW`oWFmDiY0F@KBa&
z!F&T>TLsQ63#L$IvZ9mOnx*+_8P`A%j)TrT$KfRbKnOvA7ByL_FBG^TO^0I#poq$!
z5LEtnUMhzlqZ;Skd;(Y`!hZN6<63DrQy`VX)Xi0e+e^*TTm{FlwUmxGUujs`IrI5E
zfU5m7e?*nmNvF`THmdI(!_tyGCPA^(Y?c-d)T#&Jo@~vQ=HXDSkIjva1{*g9cOg%s
z9&kCqR>T{c*@8LB`-z>|O3mRlv{iskf^$okpis5RFi8jm{+Mj`5u&tp<79tJ4c~5iB>xupO?}Y5}B3
zr-ro4dSS9L(`m`yEdr_{hCmmjzzy3_KvhLvijqlyYqC?VwF`%J|tC#k*S{7>J>MQ^!l^>0uqVb>~sG8Yt<9+n*YmU0B
zp0XWR)Ex@n*-yW>qta5Ln1JmY#Vf`XhVf+cQrOQxvmv;jx2nAy$
zIaL`Cf@><%CD?yEgDsn5jkPGaCJnaeg=Qo+(tkVGe3wSs$62yrF869c`ec$K)o44}
zM3@r5_DdV$uQ)v)RN1kNopyk+;dqcEx|0-Snn=b7jOW$BT5&QzmY=9
ze4=viIZ*3XJUJ*%HX1cYRNgopkaQnopN+d@rDb$$wppzo6FmfBe1SL^c~ydjqY-5x61nl82A8G)w{H;h-Xs24j#Do5twt-@uc({Mxq
zj3%$UvD*?}tno;YC$77lIJ=bR&RfkqEYx>khL}P)S?&?>q)^|AN(n1*`ee43D%7K6
zO)#^>4;#XpofiENN+Es&LzrB25Fvgm+Rh}z1)6dQ@u_}>Dtj545O4Pb#0!=X--q(y
zJ5GqZT$v=qW6J&8|5W*+XJPk$EDE3mU5-dsf}2vNLOvzfeX-8P@o7KSZmeUVj7qh`
zr3J)Dgojx;lG{*vmWGt7s=$?|8qH>h*B^$O;RKo3C4-R-Bz27OM)M8pmtV>yO{9K#
zAEOYHw0F@!pN6Yne#dDsS!o!HgikPp$wddzFTabnGwBzBrX2d^>-`K>_A)g6^7s7!
z@i$9|@9*ZrcbtB4xiU$=#FQ&Z{j!8JSkK7rGIR!+>5ej8X1+Uxyg6m&Us}m;KDjAY
z4Re)pl|snT;U=y5T2;tPcgaBZeWg@}jm}GlxoTO2gR`y}um&jD)_*W8>)#r+TC00g
z{?5O`mZr%9&9MH@L!|`kpFRy&I$!3r=!Z~R|JxbDt932m?3Z7G{bt=4tm~>^cRHdW9
zs+<%>J}c@`u0aZoPP>KFEb$tJCvm7rId(Cj)0*W{LjTsR%L|F0&Lx=SLSm7rkNMua
zkf2YwR8_8&kqnO0JVu3pJW8?e3`vKxVmk{48
zu-h&Nf5({#u0%*O6JpBUJVZGkWm$BG+AP#(59DjRC*sV+*~Nzz^-(Qn?W8w5CoFX%
z65@f7Q>@n!s4Su{1`SM+nk>mk=v_#qV_?F8rBb^^%}1|dYJ?Y|B@O>c5`L&g4fP55
z5jDoJUNIzC&*;^^QBU2tubD>xts9L1KcaSd1h))n1UC=SScpLE4z<}-oSiPIuB;V}
zxHalc1R7)Sz>u(a?QrZOEnT}qYA^<4>BjQwQUr95vFvS9UGni484_sZO%9aOowA)m
zUGnjn46S|;DZfC3%4AoY9cI^J<4R|;S)DQk-^$x~-?UVG@|UJd_!eTAk?^N;@y#1W
zr3e6(V1FSTD4~*Bd+(C@Yf(-QAF>Oxna;ClRwp@(9Nb!}S1N~L$sa;6xh}%Vx6)yO
z!ImqoxMI9;7wm7bWT*wOy-Q@IQ-GQcb0acd3MQ*{&M`*_8+VA5re?`bKRnxLRgjxb
z8!DQWd8Ccwj9yw&1f?U@*2Yq;I#UNAwnJ<@xR$C@Epd(^9nxEnbwp}9xzfaPL~hHF
z=}eO)T0Y=Rf2?J&bU^CTY^B;n*rL%a1HN{pAeJpW1OkD^Gt;c#3zbD5v?)ep&r^rN
zJa)fVr#e`L1&3&*B9cshL2zYtIjwIGRWv
zGaVr5q62m(rV^87s#2?A@-@KMNb0E73X>J2eN;FrgP9szEb5BAy6+eUh>zU=HW$c8
z?tlAGz>KK$>w-%Er(Y^vl0>B+knG`%7`d@ZWVV!fKN~0zU|!ci5#+|W+o?DsrY=ZV
zD5~`aye7>`yVI-_)f#leGtRj|Y7A{bsn&xQQDY7qFxQ!bOQQvOh>bGB2O;)n!C`SD
zcG-|%pq(vnYeJ5(hH>;6hj#s_~`qn
zn!1!w#c^-agbhrldI5(+)p3$M7^4lQl93qJCY&})3`=RVH(<}7wR_Orj#-eoTP$sC
zW@;ddi#Bgzd)6E=6=jSeBbQu+#9CS}b$^6L6w&{Sg8rZHm;T#r`uBSX+QsaNbk8yr
zu2w|ca8bY{XfnFkJva6!v~jBLoQD>fap~uwMMp4&C&Ri^re63Mp+#)#j@uab&t9x$
zJZAl$bR){#e1^GsC;WSSPv80<@~*Nso`BssycwI$!tS0VebtN|EC*=ozv|?25bnFO
z>(njzUm}HZZ0w-ycO&G4&dlL`7ZXAe(5V5Rdi)PAS}y-cj0UV(KzTD#h=
zRSsZ#Ac83n%;s|NbeFu!0ez}X_6SkzS2)Y*#qR?(#t^b>a4|
zxlNOLCt6-D!NGj|kg@+2pk~^{ePSC4(`w)+-bFvOpy%Ok%QakiH|A!lq{Rjn{NZN}
z*t$=wmw79$wd+~{p_k0z)zk*YP>e}1#td97+i<|WAv3sUtR?66+^F+R4(V$hm;in6
zzFfCZ{HSC1)E;o!Pv%H-%;9rTE&E1UwYj(N5o4>Y%~{z-+_Sy4vmB%44YvIbwP&Mh
z#*w-kO&?sAk!IdK>W%_z+_S~gEt6T4JsqO#DvZ}OV`eYFd9D}X&wBhB-M>iAN$Ex;
z0h7s%sD%)9uu&p3trO{0RH9XR6}^K|hYBnEC=!1#&Fq>*G4v}rNcTDA=8^J0sPt0o38s-vBWtiCM6`fEfz
zVOU4SY?1PHNnk}WTM}k8uD_xiQFib3Cc}iE$M-&s>(iuhtuf^o*jIr`zbLy;HL!1F
z8*~_(&y@ZjVvCwC;rD1fBjKYOt72(olg8wK!U>(IB>je0qw+sQI9U=S=fqur(YOJ`
z3!FNgW(8H!VD=a}_O?}K+{n0jBGn}Wtv5FUV%4syQOWk$IhjE|V$A%!2B0M`Y
zU=D$=1A)&#Wpk2wL_eY3m8cH;hzOD<4R!EC%|U+JO3|+vP6-lQfV(Bj*8}{nU-VNEA^LBnCl>wuv^1jsg1Me6_hOtVPl}iMI3{D&ZSBPp(e$~%a}Ezm
zNR~&hm{)Jfyl^d|3hg!gJRux?dUEt-$_*x`L8V1t2L>mx>6f`*nI^
zsmo7GBz1AqeXK~eEbRoTTOUB`BC8@s>Z-RSb=?D{9+Om5WU)19MydOcx)CLHacgkY
zQuufHKA_aCyHfWyu;6!Ozo}C9T-%)H;DX3w(D6TC5iKUd!fuwYYv`Y>Hl=Cs-VUf&
z%F2LxN#yHO@&Kpg>p4_O&+km~b&RUyk*`}a1GYT!bv!dXj(oiXRNR2dCX;*QE8*4^
zTYmXU9h@zpOY20+SH)FoBHL2Z?M_;?Y63-+$HcX37Q?3lkQDh!MTC5<&=bp7ep(v&
zx*oX$NchMgV@G1e@Hp4+U(VuIU;=;*4m&`2FA+`nF=QDnJJ`f{5q(b-92v#!J-QJk
zZl7l|N!Y>nKE>_H%E;yMIfm|C;L5|Y?^Ka{1&Lghz^ppF
z@}G~&cSK`e5|v-g1DsO%(^P3NmA^nup~*UFEx@Aa(AZ5FS^?RrziiTg5rL*i`vH
z4jFJ5I5A~xkIIiUJEZq
zdm%1nwv(z5+sEcE#Kg>=o*A$~OoQw(vt60taeTUEQ1Nn9HhJD7@d>xCAa!`ek@(cX
zg%Y~7PNc+FT&3iREw|n7q)%5(CQ$w)>W=5JU9%Y8iZ3ZXT`D3Zev6)1;`7teNc_!?
z04k0qiGN&6HQOj-@5e>)&RwUWL^W`f#p`Xz8UL)>SpxMzR{8Ab)r;0Scf)*yU-MQgp<#U;XytQRV+=e?GZ
ztleHk+>|IFGitX7bR$O}{o#4W-k$DwKFqSFDcV<~ujD2~Sirgy-S`00LH@F_`|}zx
zam!WCS?;-`TwbL8PE_?t6z78Qw{dYB@)gY(sO3vCzMD>d_s9E(_M?MCyOLR7Qous=
zig|uZAkRA>f4P5r`Z7-U#
z7$^P0c>#p2GE8NYfuBw`rBWQBR?7lvVEVT`xV6vl$sF&jSc$4I$FdUbN&cREM3X&P
zL=!h6tF=PR^~e|b`|E>j0*rykcABF;;wV>$$|&NQuWb75@sE-+Q!M6$Q5H(6wlg37
zZt?fzqo3@_rXO9?pvEVzD7Qy;x4*wW=qJF)Nx$^s>wsgJo{{1W-%1kWJlG%M5?^oK
zJv-irS+uVnCZfwLuOldh7L0}$z7$ZWuRpt|+D74GXzzgye}dRbCU6Qw@NLvDmr^u!
z3A*8GKC@-EaTw9<`T}3{i*qXGOH~};D34FTE_56=ssq`1s%Rz)UqcKw628jIXQo(I
z3!0ZPd3jV1%F5Q69B&sR;J~|HN(=ZWCW=S4j2+oJIx%67MIO5_F>z!IK9!rL!}Y>+
zvoRM;OtdPsX}qJOJn(s|`W(p5Y!XdOh>K47+{?nmggWzqdJB$hg)KW8?AjePCyZ^l
z=O%+0Y4)zK6tMSJ2Yc2n-QAOn@v6DLT4EsTgN@&xcN(%?I}RDbU&3x{**otHJu4QQ
zQ5W5W0;wZdB`BhRKmN#;s8NRdBLl&GvPtTw<*xlc70NY=OB9?Z64ONOF{Gav2-20z
zfKijUeULbEF%>q#AedG`cKng8Q6mi3{~ZV}i77D~qLvi~<@;19*G^2xiKGCHT|_)O
z7_8Zd{Us&wc4=)
zb^02*9!j2zg%hz9w@aBQ3CBl`7zgAC0~lv$$y1IdCZtJB!n8Tl!PV#O@t}Ao?x~ur
z)EbB7QXWg2)13Yyl=XfB%p(p8Z5fzpZeHj#kxBYdzbyScbJGu7My|hXAn1ZL!WigH
zFPn;Q=p0RFH5n2XKQ|3DuCo)kNLv`)q!KY>$UI3_Cry$U^POyT)=#-KPdBTveLzOY
z`R&6EvF`
zI1J;A=|-bX2#7xq<3vJ}Vz(8pkx+Nqi>7z?glc)qBAeZ&tnIGEsT1}~YpwqS8>Oj>?1
z{B`4y3uq?t)`lN5-gOJNmzux+`_QM@o}YA
zK$e}HY~eQySd`aOxW%uw$ca~s9(VJlaifSX;pp1w
zY8_|6QpHMn26|N-&q#;Qw#0g1j_yo_2%zT5l_{LyM;lpV=e{SB@B^UJoTJH8glHh=
z{J${`z@)u%o<5oFrOx@4Oa?XOVEUiy}rro9=Mmgh8K_y>Q#+>ot*8p|)w6X9E
zw4G_j3q;vMF7-Z$Vn4%`J@w`d*quK$Wi}`}q?WTObVWZP?^r?#U73$UVC5c}>~eCF
zOpYmcFUjPiB~J_^_~^m`P2l3jUi&_AV!{=EktgVM_fs@3779O}i{+$8FoH*#ag+sc
zcJ~Cx+^Bi+GZp%k6BBTlstMB*qJ6;-;k$AWeV}J*cc5ls@R6?9|AiHWUtZ_X>#v)a
zdfmAwYRj(O^SgFe>(H6i_QH7KxwBR5bGsE6mp2Z#4pxKtjdg?s=nz{R4L@GErZQcE
zHV+Wk9WPuJa4j59&4=U8Bdo9h>ly{2|IIs_rh^7FI<(bcHohBEQ=Mj;nbfU7l&$f+*8%-*
zKSPzhq^a7>*8zRGA0WQ4g!ukyK77Y1PnR!~lxIx2dye94j%4N0gaV@0#Y?)VeQgRu
zJKVQkFI*=CD5->My^I6RaX3B0+`vgTfC!$=L}&rCfd~a*8o=x`<#qaaa2>FR
zllXbDIafLe7Y;5_08(jSRIVV_^J;}hfN3WWPUfH11?9q@z=i9yP_9n%VZ6A90hg1|
zI?>W#>efN60e3RBZmS%oz2UT6g{L;yGQI0n&8&zr}OzG#CB&8Yk6(%NvWNX2!fb0lW!DBT{OhhYRG!08d+*j;a4#G$PS4=Mt
zi47mka`gyX{Nv6nu$@?$5;%U(X(HK%Ad^TstEgW#i8kh9X#+_)E2fS$V?xNE4m8>q
z9>u9>;O?k`kxGe7T=$)U=-^2k^3RBjT=K(#pgT8NJ{m;yl^PC?pKy(>BJ<5`#&N*_
zSiVSwEhCOE90YyL9CRnn>3pt<=>`UTBbHlKf3Geq1jTQkLxh%3Wizs!t{snnZoLZ8e9
zYHGI0i9~fJ2*nQ@!rymV^y_o!7<`x^OfEWzWAG2rb|%N5KvNFK;5Yjjs_Z4rF__tH
z@@PLm{KFFB`+NED4Yusb9C5i4Wn#1Wddfv^lMx83;Yg#236@6_6H6eGI0HgTB{P=;
zoe6O`49O%rv80oBJX|*%Bt>>mcUUb#(Vc#+Bb{7JQ&L9Bqm}$Sf`v_kbDTz!r3{Ho
z={lgE*>!N|5>Pz?u)8G9r(!N8^JZ)yjIEaZY>ZOBN`(v-cVrSo$wA2q@#zD>dh-yc
znK9m>Hk*pG6l&fv5Qa{3%o<~qJ)dGA&Ak4&2$hvM$CC08l!!h`CSe7@#*&u!N$UhE
zHT301%ZpR7+z21U7?Rc+4K(00&ASO}jf1*lwIH~}*G%|Uz~HPj!ne~q?;_(8NsKIu
zjQ6889|%2*3@=NBCyMO`@63?*Ca+thT_q`iij%BH!Y&t0-wLz(j!L`Jq_cKK7MlKT
zo4Oy;#K>Zd%j;)HEM%IKO
zfs~BOOr<$qpu7o{LXuFHv&lKVBof3VC0Vs1v!21(SKW{5^>&F?T9jQO*La7KAW|r9
zL?U5O#s9(X-NELdQbQ_Wb6<7imi^czAKbw^<J4I32lSBV#q
z;9;%)>0G!!2YrC2Kcy>K*{cr*kKF&zv4P%bl-&o88Jg3Uy$E%J*KMcYDX=jWV?gdLB%tA(H}3B+AX(
zvhf;`r6#3R?|L1J(p93oL%|C(Lpp$4L-(D@wGjX$Ue1WUGd5=FV~P(5V_h3z#IC;6
zsh&)jL56E|pJT-7b6_1~CK+ZjU*sGhX38}OyuGXY57dbanoa3kqc`m|%-@x_(Y|n{
z4&^URgK(PgKN6NRlYxfxMs$EmJ)PftDcB^ksb6`!n}SNpei9qyrr?gPG66SYwOWV=JW-UGF`5L8+Sz?9n1j&w!^afzPe@qF2sMtapXaAqbkXsbE{
z7NO*6E;k*$H@W<`vNi94Vvib%02H|9p6UU2$^
z=8rli1M7;h9)8%Avw`ev@I)NCYAuYc@DqeQ09I3S#T^kfSO%?gD*MqTg*^4hY;b-$
zBBK7fSxSR$?szg2{aRE$ok8=D!b9}rzQQ@Ue8W2aqJ;_jfAxx;xJ|85fS0x10_>03
z1CzDJ)Il>L>B{FHsTP}~!S3Ms)6LS<3wK>J7F@F@*cfaLrUUwM$DZJlVEV_m?z)4X
z?|WhNsD6sfy>Yl%nqPcC9ajBJ;wO!m
z>utnD((%8AX-(Q>5|}th8l+j7$Kn9T@!^11I*)~x2I9Qb$x8ch1!*{>Y}7)mMOJ=E
zZR$oY4g4UeMW>@;yFSEIwbd@wrz+U;&x?`Pd;=Q*(Il1-P*~J@!3g4sGg;*MsS^{^
zpb@*6i?vFuqMj83_Bsb)?I|%u^
zmktre%v;J{K;q{R(Tyt$dK8iG0EGiiW&hlj5{P~
zoN0v<<;s=$ija)5J1HH>!(pd6j2CDCniWo+wX?iyI?t9mL9o@C;H
zg78kB+?g@5BLa#Q&L0nim8*h5Lr9z?9*Px3OY?kSQl#DCKGL_nmA<>
zM|4i>Q(mCd+m#ZIKbbaEJumferWYUe0^`SS5NaBR1;_8Cf4_ooPV*pM#l@Ohh2p+#
z`w!4jD;&qe8DLvS#|jh=K)A0-K|$zyI}%6-d6s6_qT%Hl%FxNyyow|fpir!g&p`Wc
zx7&q{P{-P}+?uUUw?`wp;L|@EXpH#0`=c@<@cyYcI4f3Xs)Kj*RNoe%fT#MCoVvEn
zb7|64hZwjbex?&JrqOfPQm}0_i0;y~p8>0wIU1|mBY+sIV_vN8NWv-!(9PM8(OWELkeOxf^K6;Bw!20hCU5!(kJtzAj}^|pZR2F4jH{2D4eaNeqcll`x{=a=
zFee09P{UHE4sX`^V+EXq$Q~|8-PXZ{v0&@w&6~#xv+eeLYv-m-rRI_9q47p@W>aah
zwFyg|Chh~6-L!f0maW^iZ4(abBAl1fxo2#o#7Xut#kA*4`)4JREzT^xl}e9YEd~V9?U+dL-?R
z(#-)!Xr1{Xm}V7wwRt_kt-aLLtTKkQ91d?l8I8@ia)tq)+#<3JFfX53r8Di|aXwUP
zR>{>&CQhk7gWMtCZwt$yI?HXa>W(f#B8O>T5e&M
zj?b2wXuUjMDR+3*QkkpfZyFyT-@aul{@$_u7CCXl+e~;7YgRMXjXJ-a#%?%klW9hQ
z4mo3Af=bqmeao?n5Iw2qdSS%0&QCU;;i-f(CVREF<0ax25(0}3K@B0Wg@iyZZc=QM
zt>z>5zXyDXzrlym_*pc(-GM5Z%_7n8GsI<5G|;GWh=yq(LNKWz8a{`xt|1yIqe6;?
z@b~GHPbg4>DMI1FJ82*JSa5ZtUT@T}o*-dx=fUdaWC`No)}GY~tL_=(C>?>T5eF5E
zv_za-fUO4*4OfwV4k{bxkrdZv<$Y-_36nn`QF!9Vk|kpH?v$^~A#njs^UpdoGp2c}@)lg8*dc3iTi1Wt
z=|9Va{wlGIoX`Y+jtPAbLlzuoOz4ZzhB2YZzpN(o)990LLQ{h&6Z)|mN{0`^IWZO>
z(HB>GU>1|u-&(#dxL!=#JLEb)xU8(muB{LrBMzatnNT{w(MOT8{(O7`Fz{W$pF~_#UooKt#7MA|j
zG}{5Ifo-?mcE?qBj&Iw(1Gd9um){U?J8V~svcg@Y{R@zs+je-A32(@aNB^gxS&OIN
z?HM^_(z3IdSh4iWWQOSbWY2IOU-N~;>hU+)ENzI@6dNdJKBHmVY?$u*iwTj!uA*)hREx^;u^zcf8YBkoYXLko~+Sb>*GmkeizzG_~LRaw6lNpc7Rij1pAy8ak
z%V41sY!)KlsA8cXVpZ~?i5LgVoWntzTW}^k<*upV!cN7r!)h)X{Hz%K
zbe_SRRK3R_0!F^JdkXHL#5S*XPjchllMp%Dvu96G#r~*fn=mks6%kM|U!d2V2FLSz
zTwWcoN{Y(>xlj}NdAm_#T&Bt4dNjJhHngIv5mXuC0aCZ
zvYtBx#&q}ga@r~J7^KBTkc?7ds0`D#U}+^9A_?@9*3`U}FNT%#kdl1p_DrxN+1hQ+
zGNJ&Zny5MwNGGrrCSK5~G#3s`;^;JnenQMpaui=VK(mpKAFLV7$(K13IXD17Du}SHKE6yu^CgcxtqC<>a{v^#eJ02TOH;7VO5H!;BF9VY=1OwyGz@NJqzB;
z7_^Zc{sdm;n*gs&vG~HD#tEpv>&tOOqFBX+Z>7icu$R{+Oi|pFxJqR8*+)@^y9!8z
z{~CGLchl1+0B5*IKRq2!eCFh5xQmhSo*n2y`P%6ow!MmwU^%jUo_gP6arS9=xB!2Q
z3Ey1}d#{O=^CDdNv!Cv65b}7uTCZ1{b$HE!;#3X$F*zVM4`*7bHopM5+^mc)cAqMh
zjC?ch)?J)kbsGc>aoux)5(d(6iqC%52C_K&dG(^Z&TXqWb+Ak-gO*jN|
z(`;j|GTE#g-c+kjZkk^}%4L1q_!XPr^ni~OIseGDXeo+SdqnQ<+XF_z6!7B_?c%lFE2JdH3+G^1rQ{g6?Q*4@tn3%SNAn?57QLc`K#l-psdMDj_y1#?Q-+-RLbau=$0R};@K%vZqCqNBK*j1MCj
zWbuLUGsI(;qn5a!oVYFg9Ko870D|~ED0;LRlX$|XduaBM|6v;CX3t|@-bs(p;sY2N
z+ooo#wQ>{N7mD@_?y(?b8ew|@)<#;{an-70b|`>n*9ke}Gds?4#h1}2n+uW2acN|7
zh+N0^LLRGQjjH5KhL=e6YG^YV9uGRToCy$bcu-e9;+uxYi*yIw!^1W_EVHtQ1q=$X
zrnhX5H4)8)?1^63TKZ=+`~z4X5fZ|8Pfs-&%{M2WhRYhX6
zxiw$IzM?ddV2Y26QbY|rW@vH%*>QG{?2s)kkKp(-$q4xb$NzI`WfC0JRaU|AHQmAR
zO|TTfA<^F}HC9H1q4l5mWy_0y*I*AIFQT!B|3>XO^5TnlHw1Z+#CJ+qh^|>!d|8gF
zZ(*StfUt-eQC4AbE^gTn!eWG;SXl7W(g=&~OyC3M>Rc{?F`7wWP_qLFjdSCLhG=zp
z1jlyJAit|)ms2Z~;GnLu3XaXXgYJ=Kwm3Au#JW3-ufpb78@;iG$dBnE3?M`zJcPGX
zdyWvf1n-6*M0|Xx1c~UL1<6J^vc3h0Y5;;HW>i@PNef^ILDHrt79{-S6(o_P!S#k3
zW|3O513>L%vMWlnNUjsD1*ve~{)C3^B^o+@>VZzUZ{_l&Uz=!DiW2Nqm`?NDo)<6M
zR8>cy<#F7e??9pawg(8L-E>d*GI(#_3Vi1mY437sWfE!BRaTMqCfz}|HEfYaNgXQa
z>v(S?s`i>fYod>G0i|Eqvh1T8_5oyBgn;lP)E>iQxo)2zUAGat#5iyh3Khc*@O&!g
zTK8nLDdn2BU)n?bWA6~Xp4`u%Dr6zf5Q+LM_t3EItytfa
zqQ60a7?VqJkundGeAf4C@CPutA{>M-ruLlW7-I4GE_&j{BR};l&v-5l>ayNgEg#7vH_lIy8)(j1rsWYC
zXSyPTn_C`f@o`E2eA41!r&cCuL0x5)79Z6ebYHN%(t>f{D=2W71xPGR6MnX>kFRTZ
z2M`a@pu<0<_8jr>t9UmA@es>xN-~IkSu*^Z98%wsK{Wu$5Hp;tlHmscLr8}Iq$idP
z{N$Ak(JH{>R#FBv0MsjByJD(aY3;2Fx&l2hbo|r<-B8?07fDHx=2AL0US4s&M^YYO
zw=wLA=5d1vNQl9G835-Q!#yg#s|!I?bG4H#^Ki_ml}S2MS6QWFpgTB9M6;6)PZZP?
z!cqLNrQ=l^-T|azH0bad)E>*|W5!?gT<;LQ{;E4sHHW{d;_u1luaZ4Mjz*rbRDV^=
z-(Mg8DglNqX+8d`XEA=9NtEobish4~_E()`NUCICRRmg(uj*V3vTx-c`KsPRxRSoA
zqae@Oa9Af9Cf;y}&Okb+H@{LGA)Yyl^1ZSrWxU$Xs56W#O0!`*SMtNuh7et=L@CEV
z{C}KIY(~uISo$E^>eI3G2~^GRSo%5C5{@O}4B=Q(!vvqmyvOh<_$Xa7gj1g$BJLt@
zj#1_3sWy9aY}}Z0nmUt7PKrO!h!*6wFi17KzDa}O%^2UJCpNqIDZ%WL&7Dy7S9ud`VE!tgmaOOcMh?G8P=%y#)tF%(r%L
z9t-AoV~3mC&v^g=ic0gqBwa_a8<)(E1&13rsj}JHy+sBXZG&N@gg{I?`O7vLzAt%7
zO>LXAGVV_J|8yfq3%~YWh|Bs!A}>6P_Qr`7VmWGu+2l*w4s*m2V^6qEOwxFSdJU9Q
zP}L{3RKQ5am)3G|8`=}VJ8~3OTyVufwW!9E%>kqR1ALKyAZrBhGJj7#i%RxnSyZ0G
z1F!Y>)Q2r40II>v7CG<9NtF4j*k^laDq(>+i`&8`+aho8*K1
ze#PHYAG8qw3`CnJCn>==f;};=u%co7M|;Zsfgc4vvOb)TtY7u_$s+3sFbmW`
z`Pm-VU-^6MgR}yOfk?YnTQPC8TrIzVsMWfSlAyFD_G9B0Df#L*!uB(NenvPBzWwWS>9;TaQoRQJAko@CiHv)RH~{
zIecEG|FblXW0&b>I!W=z=x_)=M?xOy!siIkjWam2B02*`oCFWsGkXO+Rl?hdrAESA
zyqskkHfkOEJsO7C4R@ogj1heZ*Vd`zGqJU{82)<9yN?;~x`o?IO&pqmv+A_fW4_YB
z@RT4FCk7sdsjYV#Y?*YZ1#VHJhb{1GVZwT>gwR0@_%c
z;q)lJ&48|R9>>j%8#e}5(WP-HNPEo1Aux130I$a6IsV}{41j1AA$=n~>xmcU8vobP
zD#&{nmH6b0;XO6L;Zz*hAIe?iu1E#Sxccm;j0baZ}tP;M^MSP0yQZSz8i((
zb_(-W;$BL89K~}`g4Wif4$58LrHxF%Blkb#k|w6yQ@m4Bqps^OC#RMkenl7
zI|Zr4g!1Ol7jRMQg4iA@^wxtx5$E{Q1!8wrAX0EX_&)sJKNjF@4BV5LdNb#m2H4$%?LpINVxiTyFEXAQktEJ
zN=r3|)}rl9b4Vb`mS!gsh1F=q4|}*z?Ps{Mr}sjn+J=DL`5MKm3V`T^4aDYtfY`W%
zINv$|&chF{fj$=ewPK&cT{rYI(v0X%VeGyAbp7llMDpE(AoB=2{SJm1eq<7SW7
z7PxPKUQ%a{66<>A=oj|Pd38TPyb_g`N?N@ZZRe0yaT=c}VM_EQjUQ94b96MIrb+iG
z0RX+_Vk6x~`3@^pzkbVMqkIYu?Vwo4^#zp~oS%l<-T2OH$3(e<4UeESk7GfORB?Ja
zOci&rd!<+p!w?Z>3a({4RH}6<1)RJ%)4@6tx7>=`+a^)F5lnZQ((b`cbHy!}0Fcpu
z?voW404u*B**#<$H7hvz{9ufk6Kl$(_~}2LYXVAh=2JWYW6c@*WHNuMIrD@bj4PQD
z^F=c%n>v5y^yOy-Y3lqb!=7ApkmbVvMcbK#hd`ihZFq(CKld|K*~`#`^@%@b(>582
zWco^cuRx`x64tBGb`E^U32T>MlZ16lxwjwNvOv$3?lBH1gujd3bm9NWlxduAfx7o;
zNPC+Pic;cl*|mFq7bPp;3OTw^LK!c-NPX^X6}O7xcDaL%!>xnWV18pA*VmA6#+{tw
zxFs7>p2RfHR^8Z`-iV8<8nq5id1MvP(s>a<5!a#AXL0>SseZnGJ33z2sv79DaMgKm
zZD*=hEmxo!lpYu_D9BXFxe`=U#7;YoQ
z^&52YC*4wB3Z6qc>e^-#E3WEv(7*+tK*wP|(YrA<)oI45m+*IA8Z8#wIODEd@K6KxOSi0KdMbS)f9ZL_I^=ez%}g@wR)#UT=pZ`e4z!&~rU^vl&>^$^3|01$
zrbAA(r;I|m``X6+LO%cHf`UQ2V25#1f?2Yk&59`Mpb#?fBvs14W=&WvB3|?wZ%~o*N
zSF1tFe*rgnAc7l|8+7P&3E%1Haq_Xt#qLJcS%CtC_%;^cm_M>6W-GOMGKT123IIix
zkQ$m=z`6@&y84{T%{Ac1Z&s#o(z%F0##tQQ_*59_u#EqxIh|GhH*$$VX_kDIDIRN<
z(5GBxNzB4lf*gGjn-uNjiJh3
z(#(}eLrTO)FKm22xgQ|TLZziz@}7&fbKpBpWxD*Dq%vd5eN!%Ze`Mv2rhfNFeyDF)
zdmPjb{=@p)C3U(6{8EZc$)^FkZnSXkzg98$~N!jdCa%h0D>S|%l&R&m`b{s-
z>{d(TC!w;!A94Z@U1Qw+bXKy^GEx9Nr9vyK*HaLb
zP57!u%2MxP?=XvD2jGVf;xFqMPEr;)z>M(p+i1XRJDuD{{H#?gwM&z=$|7H`R7Jgy
z>yA|h<+;9Q!nXp3?#WWxm&)Zzc`xlZAxOKZ-N{NZ%i3UkB0Or
z-S9+_cUaF5^!$t{N(rSYfQG*&ir&pd)3ab#3;R!}!0O*N7aV`5LR{RQemA31=D+?o
zQ7|R{HR9^MuR0!UX6do#G%%IB%06ENP?6Glm$CSSQ(lBm-PLDnya0RQNHB~0@LIE_
zdEAKCnXgqYDT>_KvC%PFoWlJcl_!AX@dLLaG!M>5n{R=6Gn;j)~jVS0KTEx7G+yF`w;~v
z7otUWQ4Mgq+HAD}VBwm|JXY1*BDzCFz%p`nlDTw{PkhxQ1(XOlh%L`iRZ?i_}VosuWLvA0h$*cYhZSS7DSP{N1d~A<|GL)9cQu>g@}#
z#4aDl9#RTPaPG0Vc#sp45%*}dVZmWYRW=kWGh`Pc1yIo*sd4l!qCVecN2X(?grJSW
zGhdQMna^d25rk7z9EGn%6r%()WF-*uNnO~AsR`P91MuyJ4do3Rg5m~dRcio(c{k+c
z-ie7L6B7}C1``tw4^K=;+D=TA&5{LO61+Sy@p$0o@o|Hfc9Q81OT7>T#Ksd7f{~r!
z`q)__05zzM0l6A2WMS+H^GZr)?THEMUGX0-xczNU2x(
zp52v
z7ZkWpPLdqXC@#x2ic6`qF^VmtoT#2di$>jdH|LdMbVDj3&_t1S97lI0i#dgZo?Rz5
zIhB)_sbqS|d&o4&PBO%&F%0W!G
zze+{#E*16w6tL`|^_`>5_U
z%PLyxGq-Oj9<2y8cA{6Q(5C2y&khO3b+iOaTyjQ;>82D+9nV^A?god=fx{wk*K8r&ks4*|4F?P6z2DvD^;IZxT5k
zk{u@#6Kva(>x3Kz6BAW96fk?q_0^vPMYdR{<^+pGD)8Np3$PjLV$T8-2v;n>q8hOv
z^Z3*5vX?r^97BYa3(R$>l)S*Cuh!~m2lzlUz(Z}O
z_@Hnxp%h#_Y;*TO@a!3Eq8eivw53!$K(GkMYJ`kc;za}nQ)q4=jI0=snhXDWHM?
zuo1;!a)phO2S8)}polQ3^H+3)2j^{uZ^B(!T0X70_DE?CffpTIieBg`6#fzsdnEkD
zTr__pxg_%T-Bnm=71i
zA&v{dZd4hcn`u_d`!?^qbS&7q^YZ=tm2)k32cmotg{BVdJ2KuZ9jerd2s16H$Nl1D
zOxW(n4nUd)Jn23f!{y;m0F~BtXzGB$Ha^4>U@Mear0bu4mppHVZ3z{|l0lnJlNJbN
zxusGE(eS&~skJ#^q=e?c?dY+Fe<1kn(|P#KlnC36VY|#WM_g4dBXhP2mLc94XS=w#
zZyy3+n{hbCzOCapNp6dk`^svrCUe?*SWq%6u7~HeJ5bTQ>2pj|!qIcjT%|=HN0*zv3sYi#yQqQzl>IRFY
zS`~x^%PRFR=q483uZQVUw+Cc*6kQJ@oYKD-6o2fD9w!f{x?No9@@s?@sr7
z&3mtBrdb4n#_gdYHY!Tg#0?j|Xcje!5kX0WL`_hGMx&C%Xv7$oU;HG0|9CUx@cRDCws$4=Zkg57|iFR-x7*YQL?c3r~`0G?gfKu@mg8dzRzJJ&U=GQ-aS
zH#eN;xw%0}QFCA7aMNsG;-Ep5cb~&9^*~ysW*id>vLAFVpY&>>!22I=kc~9wo;3PZ5La{t
z>7?7+ycwb?v1D6=^xh2d8mMY|O{zm7f&=_!h*wf^{bq>6YcvMq9t-vof+O%*XN>o>
z4(+?zhjsx;3CFsAlZE>%{s&qI`4bFdp*LAP>hH;S1UT
zI0l>np_`XTerowPi=X&M<2$JRM{!j8wZA7Hm3U7YmEaBwu2eI(Sse2spX;BrKp_S|
zTNLWZvHIuvN9Lo}*-#bYbfGe}*58wlTD&KnTI?PiRBfva)pm)$rxvKi0BDO^CuGgP
zP5m9C6%!0;yw%mm4*zi1Lq4ZQkCM!{Gbzd6>XiHg|9IDXDA|On5tMv~zb79hc~2T87m(*F#>ju^WBahb
z#};VG0Ewh!esO-+Me6e=cc7h_mAfuZaZD}T*IuMxGN&^gU$PIt?!dJdk0WQXt1vkx
z=-P`4H@?7h_b537Ftvu`kd^%y&6QU`3PJ(*mGhetaHke*VG<45Z>3jQ_?;5@wYD$1;HC?y_RzQI-~8YFvY%Y-KB)57#!*H5dc^GQ)&OhbdB=
zz706ghR(?0*PE30j_#?#iez|f*Qi_GB4XZ_QmimG~_A{kne&@5Y4k4
zAdjEa_Hs{LRd2!&G*s@(&}n$K(Yil{fS>t!7D4MSsvZ*%dpX8A(6)L^z&``OSTDz5
zD2q5I;DT0$%6rK>Cg2#2;e=5!-s+ftUMt{S8G-p^0~C(93}Y)4Zyob+sS9Ve>>UWh
ztqe5~^DJp-Ty!pe>bRb41%Mh<@&!0lE|10afi`fRjBQA@&ww$HxU-d!T0|+CJ_&NA
z_$>kEohNT=y%U`Kn9X7Ls)mCy)+PH!LF&1TE`^0ng3_whio@ke+NqtIHRkyb6vijv@U=a)
zYH@f7uZRMJM|;^Rh>IJjxesF)x?f$KvYHu<`x}F7ZhL@(g@jEoeJP-7=I#7`mUeGF0A6o}mjka(6z=i&Q$g(T9A&F?~2x
z^2td%m_7p9j=;1{MVY+mQc;$2m!OJjQ!-Pn)rreZ|aRfH;
zx>W~mG}_D6fdTTk&1f@79b%gqv$su87YEbEG@cT)#yeii{WRI!{hc
zs(a`F#5&mL;mI+uw79krcy=;BS{c_nX65MQ=S9(s8`$SUCC3U0eu^@%IY%cKjrRPK
z$paWKC-~e&+cBa;&~}g!Wk`xJqEoF5mG{yyBl@~lfOz!`;=37#Z<`S{dD3M>Gv(6l
zl6%vmlV?=C#nQ>F^(S4{$f@|=-G8p;3FGSCWrd#cqj!&YvGJ>PYn
z&ravj!XdnP=M79(Ur?Kb`|%**W4H=0a59Ve?l{FA$Ip}}gqIF6lp_Yz2t(XAs{j_M@n`lKaC-%YVo?EvcSlpZ}E=Yp=%yp_ya87d}zRDs$8dl9ws{$7Vk`7
zGc8)YGdVFrEZ&_t(wLb-dsmvp{X>Tbr1|iJ&z2T*bU(2uBS{`LcT-w>a%%HNXT
zX|8&OBu0omymW;27wGbbxU|o$ZU=@i03li!PSMxkcwc
zVHrH#OaNJyX=9c2UK{2%C=H6sc~~w#Hl-$*+io$D-H0V`?KX@>%a-x+q(_!6
zl^s#Y3rH-TvCIEeDAI*gvqj*$iT8$AhIq3rBw7z+8>y6N$ncE;Lvd0h}
zI1$>_`qRL?qBF!*2HB|=HJGDubbAMJw17BQ86tnt9)!~!gm5QOamJ)ds-Wf!cVxk+
zS9McB^#y=PpFu)v!1XpN!Vc^0MZ#~Invh4LY40TRNPj;NMRl&f{|YOG>+h5C)-vr7
zY`Vsb^huv31qZyv`B)<5a02xof&S|3KQH8NTgdt2xw1ko9tQZoh6R$qd^MX_`@rpkyc?APt
zc?7mHtFl2sCmishhI1-tihRkDObXv0OAY}E}WZv>1KR%gN
zXD0{ZDq3l{FFiw7J;G`SoS}=S>8|RBGjicL=2dW#)hgHzuxgz=Yx1{ZERyxeFkJv-
zHw}L7p_PK)q+YsujiwsTe?BZ=PQhL=Sg(Ymx`krEwNc3Kr6o~*u5Nv^5Z0(Vatz7U
zjC-$);a*jI*6HG-vhMX;;Lr)=UVhT|c(H-dkCpcfPE64_U`2IetieuOu0mc_ot^1j
ztdnKzQ&|tn4PqVsa>wQY6MPgljMHf0)U+`1y_EybBO_c^-)Fzx1(<
z%bxQaaT7T^zp(mWbIFm{1T>%+GQ@qj0tl;86A9!)EY9EQo6LH};4r8P
z^OI02o#5}uMpyKLOscCB!R?u+xRGe@jj~Tb_eX^
z$#nS(r|KbXeC+$~_;5LIvN7^j@gs*ouUo)PSvJp+Qd-
zT5OD5@OtLGPQt%7`teI7-=g#>g4vWYNp@HvKSiDL4`;`KDB=6eN!W)DcJM9RqC#Nr6OEMhZ+k
zxun2St{a?u9
z*l5#F5iTn)AQ;_6+mV%*K-)pG!VsmKP46i{)mDbed+At)?QN|9amx(i`}gAT4UC!5
zO(tKubd#mrndT`#x`3tv)yyjiTF7i)pU}+PJ&~r3nWFmMD6;UWOxhp!+1aTJ-5#x?
z49Hu|HX7|d>yvly&T6RiaD)@GAJeYMUHU}Si1|4ajuG2VNJxvClXd&Nr#rbYhsz@!
zqF>U1M&uG1dp>Qak%XOM)CK!KA-Z0!$y*`$%p-e>(TcuR=gSj}y3`Yl*sjf(6O6j>
z1S2?H9M8L;M!|OB=u&^KQmrhnl=c=~K3(47M&F9!25zdpP6V@>D*V)GQ}t7$O}G6)
zPT{8N#{{FhXgj9r=g@YLsbYwVFjZZ6oeNZUu-_q0&sb(LK<11io#i
z%H&Izsj`$Co(;8;D(U9z^aqB<9IJke(J^q0kI6Gvu7J#^QgLXsP#Pg}q1ijTQE`J(@9lpioL$Z>lyH2JMWoG<}Fg_DEykrXi(bFdR)(*|{KW;az%+QDd
zS*cDrT19T!5sBC3ct!o&AFhzHyJEhT>F{Ovw~$mjYYXK@XPDy733
zP}^6+wV?J++7m+G;@vSGHrIqlW2JCSc#KeCY(E78WeIPC3u+Y9Aw4G;(l+KYCI~@p
zb^##EAvkS9>d7xB7y~gJ#Tb6u{1IkF#WJd-U1s0Kk(VDVjzem5T`aVvFC;aRZAb|?
zMFjuE?!L%?aP`SriuF}5fjtyMFw5unP0=M|jvRu$a6nMx;I-e?t2Y;9Tk9>iFPrX`~3g$1Zr^$8(-3{d*OZf_H5=l@$y%uo{?yAimbUb*A1JIB4d@xFuuv9_;Nqc&EpP1CZK4D{7{efmlDt9$MB_YLnt4#F`q)bLbxp7qT?;{dhK
zt6A^hk(CYt`)vVEWbI_~P(=&i+HF}m$m_u|W`#1wz5u6tOMP%!2^?TbP4z43?pP|p
zQv4hEIcY9D=EKW8_Z|8=YUL%$4dA=wLGGSlM&0Wg7Ss4m)Fit@vEo3
z|BgK+!hXk|hY)*8j+e~mf0M9lP(35L30kb9TY$h0BneP*5Vgoi3Eb(n5phn!A2=>qVCISvn-Ufp8
zOtEvt%}`@{la}b6laBvAe{U@$dov((EgDN9h~aKo$vJJAx{V>{nv-AqN3-7CT!6EB
zeg*sg#!=~*qHi9R_^8Bt(x~J~$M5#{)B=SV0Bup|_>5+?QEQP>N-9?Movv8d`bX-c
z-b$zn6S7blyTspeDg=$td
zRh*Eu>FyiXQwYr%Uvd{f+<^@h2au`wh6;uR%4?tIN(T7NzoFt;&TS7cIb=H&vKjaV
z%l?Tod<~_c)uz83#4heIxKK|r3fMK#G#c=)?eo<$?3HrMEgKHh;Yx|I?MzS$T1Mh#
zY@{IGDE}s6W1`?~d=x;znctc4p(vE`VC{WaNy3b(trI&F&WAK>kvv`S=Ua>AD0TCJ
zH@EtcsA2LXoQI&2W7h$GQUjHi;Ip2Sa;!cwp^eSglF4Yk`3<8NKR@%doPQ#y-9^<<
zcI=*mZ$jH@{Q6e>ZQFAoQJ2YRG%@E&6S0(grY+lgP|+}s0w9oPYk30MoqQ$-jp&^5
zEb0fSsDBT^A(=&e;vSug-Asd{b4nqfI}ITn5e|7~Mrx8AyH%
zVsJxesrKW9b1&C{A5Z~9u;oFv)X7Z&==UB?+=7ah%_PFrU#uAbc1b{6$(qDIW~DpHuV5!+Vb)1sz_
z?#iM*I)}?6O~UW8sMW2bIkA)bqqu>ast*vsK-#mLni@l#TsqBJ)ct@!g%zpWJ@-ZF#uzBdlvHnVSXrpxSS%B45yJgZG17EFG%x1A?%dn;rrJbBwa
zs1V=>R|)V!Q3|q98kG6miO%)~n1n!PY*BpGYwZBpzB`m2EOEYFC?)r!1~E50Y_
zy)2UZF=b*3DxMC6`jqmn8Mr6t*kRq?xYa!(fiJEs!b&-dE6SdrcPV>0|^{;j7iLp7J6X;(l9ailih-gmVT&OgSr!VEC-wn&(a^
zkEqTAY#x$6zyKU6Rv_u0f~_8~siZMktI##S^+u^UjBpeo<652*)#}cnrBOKKJBQAa
zl{8=O1ll>IVJX#6&Es*`kp2
zYlB$GX_|J?l&?bIC0Ut2fja9aeAJ=AQfwKQ}~i3s-X$tQ4;1js;bME(iBF$XRh*Dl-p?8vOkG
z!4S6LcQ>iyAjkXnh-TpA*{+nqk2$jxsJT#JLb5nX?!883x29=lq_Xpf(dIM#t%Maf
z#0t|R_e3$hw|8-gjL5u@eA(J&roTlRbSIAllL80EuL;S3aP_G$nN7X?O9D1C!Bo5`
zb}@N2F?FIT$$ZJz*r2}>GicSn$E%0M;K9GwHZOeBo=_xr*ujA9L@|4sGjC-p(H^
zoo@UI+V}H2$}-~p7ExBJ1hPj@f<7=EncOWiLJvqijQ45zH8|fgBeEZ%rc4agEB3K`
z56_kv%m-mxW_}64vn@09k!zN;JYA#4W1_K|3px*e$)o)qNbl_6;{D+dB~P
zG1q6E?@ui0PMq%51a8AwEE{PaDg@GZ*lB3`0J7h~dDma+oO4O*!?~#a;k2~<=%uZL{33?Z
z(5(@p{+@hWBY02R)`*<#NBjM~wXiLM0ij!@NQOJrrOdcoX*-f47u??HAFywa%j@F^
z`A7bqe1zmZX@opl)#^f1>o0XF`;fo?7D&s$iX?4*alYdvH3i8M1btR^y!3c2u6y%K
z3M|ve=_r$<0Qe4Ue)&ge24>BpUjj#u;e)nL9L=c;6G;E&mnD~0$6@bn31igcddV|B
zz?Pxw#g?x@RR@%moRxeB`|nQvg@ZBLW3x!AyyF;f`^O@zaVCx7pXC^oY5!ghFGS}}
zNDJcr6Fj?w5v)E?7%LU`<6W?De8-KYTD1!=ofY0?VQ;NeY?NxS-VZT+)qcrQ&su*e
z?*5D6?x|LBHxCe>;%*kU&Kx%4bMXu+i`AW9;qWBA!TIRO)|nH?4-=Pq&|Mzf8mK#D
zLayiNjv5qCxi|$XIZ`h0Q%*2b&p$YVv9QqL;-};jnpLheTGhR46ZJghVmU$SE~*AZ
zV>iaEhPKsM=r@4O){QX|Rhf-3CZ<65STEx+%caWImA8CS&cHGJ$hWc_PeuJ(S(d08
z!@6b5#(TQU%NG^&mpYAy0Th*U+=N5;IVbKW_yKjhuwl_0dwx*0;{7`ew+)q%u
zi>jQNTn>dJwyWF(#e+CgqAtUkCgxn6X_m|9%$+#{kL1i7)2k|0UASf9!Y$%{3DSt>
zdH55{)f4f%E-uhr6s5u#T-6KLxPW1tf@8zrIt#G5FDi~rmM*W=UjT!{Xg~^+YQ}<-O!3wjHbUqOfe{YhC;OpcR0=H-otUVI1y(
zNi%xHW~Jk1XTyRdWWi25n_e>;oflUe5--`St4Ftf
zQq*k^RC2hr_$f-=iqv85_=um9@yM-RZ?x)%k}KRb1f{!ZI|_Frv>l{y8LA=_?$%a@
z%6rLExJOorEsJA9)uu0WeD7)nh?hm+`|ke3Aj%E@i}l)yafr8RTa!gy+BQ=zO*WXC
zGd&Vxn+79v(}Vy)If4OvQBq$YYYde
zkseHE7MMTu)0yw~4l^K~`7UU{x6tBBXTDQ*EJ9?*`I?DMXXatI<2W&L7MUqC@ARCJ
zWQ?)bzKe9`V*^Y)&-cR!QVyUAPiKCbigxUZgU2N?0>YXi;Pqv!loRk$0-aB?bY@D$
zWr0~1kA*u7Cg2lXbbwJ!OkWmx&ydA(HcB%%BE{Mi<{j@VP1Votf@Ei?N;%9JGaYK+
ziS#l}8C$?|lGks@H-I(yRL+}UV2C)HXsu~VNzHtK??OSv`~YYBIQ|+
zluKj7P^b*%_kSo6gz+$tW0p)@tnxEjOoLLWenO!NS
zj1ga8)OXXYtr08zcVfigo@HkoFwXg?42=;!e^y4wdX5{LEz>-Vo-)~6Do(>w#h)u(Hj
z<`;=f^P!xja%}-xT%IAX%4oM4$#lsdv%$VIX0Ym%s~a#S1`RT;Wti9W>oI2a>Wkc)
zFO&k}MhG(nJnUwP`tZ1VtAstzu`j(`V&&i(mYxh12OCv#bm0~c_IJmQm2d?f`ybp0
zp*^o!y?WESbsJWh??rjIJpvv*4Tyrd4Xoa{Y3=IutDHSy1FP4pS+jEE+Jf3x2O(Iy
ze$|F`8-PgA(o;tqXWMXg?qtWkkDh$}@3?QMBvPJ#$9*cBx}GKb
zu5N?-q-rI5en03{(I;1;?by}JG$V3>G$Ny=p?xv~38vk9U=fw(@w?S@g55M9
z$Bd;qvmkxoXq}zkNa}_Kl?F@jDZ`BDXYn1YLnY?qzI=tx84bFfTQtJ_&>4h+ob5&G
zz$Iat+G`8cUS~r!eghuk_eXqt)rj+gCy_bEg_Le-GTwRs-0N3e$&eJ>sFI4
zT(fD@>NOiylEzl;#K!gOHf~tEjn
zal`uc>o%>Y_iI+K+qiP$I#R?N)~$y&Hf)j&sCHt_%9R^8u3WVS8(Y6-)4GjoR#9WB
zomjJG{hE~<)~uBctXZ{b)7nj&I0OLedZy+#tXj2t?Z!20v9WdQ)@)i2Kk#|e$_*RW
ztzW-JHV`7I>o#mywRY`#8p8UuFy{4}3W}Zh9ia|&LP^ObmHMsDsMNK2^AEoHNo2o*
zGL|{Qx`OCq>rkG}PnccAHb4CwfM=VZ=*hMDiG|SH+5B`a-jxOm(G$f+xi|*5%RyAN
zG|18b3lp{KM5)%8>Yr|&ZY?p0wVfNASmxak(>zAMEM7Dh@f>H?
z41N5X{J3t%g-aWygAG{V7J&3#G*Gy3xKtn7RWI+|1t1NTHWy^6LhnTv?PLL7FkDB9
zN~w7wzBs0=$5BSVBYQl&AZ!gh>D=^8qn2S{o+=u7kE7oPosV7l*oWUpGx}91dz9>;
zS?=_HFdK0>=_r-`XmvNxd`S!pv(OJ670V=~wv~v$-BsyulYVRu;Yh_LnGf&U&s5j>
z3oJjSth4?o-TMeW6qu1_Q`Se%Lato`9JLhwI~V@zh5!0@PNNIKrCu}uQg0asR_tTh
ztSL8^)TWXPyI_6#c>o5J`)ly&B78?r4!IAADGLCfUMsjg=~1G
zuP#b;&VLeVLAvNBqgIeE!md;iGnrb|MOE2Bv$EoabvRjY#h%(!u~M5Hua~A)Tvi>L
z#9PnnE4DLaZJSy#Tpg;f7#v(7(YFE($%=8L<>18BX8cZvAL0_9EX1r0E5xZt8&RJY
zywhB4lobj(^Ik{nAIK5db<`1{@sfq`kH+r;2fqY;oZ=vPBQ};*lnXe-V75S0@?Sa_
z@5lk;R0QKR2N=mB_~3%%O!y{|beze$ge85eq`gd^zF%@aHY8BYe&_@G3-5ru+dV%5
zRYA{&ZZ>?#-_vto{HD!KHZz3rp0qt`ixj~Y1JvH>g`6X2*A^S-JI=c`1+NDdD4PrI7~aUN@$jJ-a|6Ct*3>D$Uc)1yHs;Je|A?
zU~Ixl`3MO2bn<%W4K3r%@K@tn(^@47)N9qaj~I76nkCe}Q`(Xe(@
zb8;-U!F1ITtoyVxa*U5NI?6gv$2kBn=TF%YnAEOCXXUN{Qp1xd8u$_p9;UhROT10Q~I+2J2(=|Bkm!0#+jBsI3xjHmj8ZQqO#|q4(3Pl%N
zP3ppA9YWEatl_{2KSgH^m9TsybA{*>YnDBT`MFqK+ln=?fUrHYE^w#5l6WC`d2S3+
zL=wd1SgD7*6j!4`d`vmpl56QS3G^&9$do5eyJ)uJFCaQ5P!Wll0?~H9G;@vk&M3h7
z=B}4OB?^{iH+SKuoXiA0Ie8wqf&#zvtRuE&wCCkEag{@r;ByyMbxiCA!v?giE`jUH
zMyi+YL?S7({ldf%dW@6-W+-7xx#P1`m-uR0K7zcOt+?F|Ca>Mei*nG1gXHN)$ig|w
zOyodb642^Lfd2txA-O`uv^;-YUmPCZwWm6XNAykYf^8JTWz?0H<9x_}FMzm@R)=9)
zdA>2#pwEN$){NO^26#`*tIyYN9|2BKTkoSj*#!fJOHq_I%S}_0-H5FV;|s}hXENn
z$dmtT#0>dbmN1~|$uGZn7*dWag-f`4xm0ME0`sVGua>mU@;rygT9UJp;{aSxjmP32
zC6=YjtIhj5WF(T%yNJUN&QA7D)ebvlOJi^)oU#H|>fr*C@04AYY87?mB*PTsvWd5l
z!pbcXGRYp;*E~F28n*dws+QpsHuaTc57OluqsGg9xwTNq;mhGCmDjYHCUZ}9U#>f~
znqsI@Duj>cEu)X;8l!(NuM6MrDjJWwXgj{&wa~We`*q=Ox^)#Nnu_lyk(%-SOq{xW
zKTEkY1x_98Bazq4D+zkUY(L*CT$O`Z#VbS^3iJwl0$Sx>p->&dEA)aa);xqdmm;mL
zEwMF^Jpe<~vlNTp*`miZKGBj4J!KX>$oFe^(PI_*b-1l}*T`grw$tSMtLLSXM~k+p
z(bXDi!&N=c(PW?2fz?qxJ~JSp3@l$H7n4f69}uppAYHBl-O~@qMw++HfqSYUXqtIl
znrC{9Q3CvT-8r=tSf=`?mI9zyjJG;wKPQnA?WH~lRU^FA2Lg+8FEyoB@+pLIR=iZU
z>_@W+ofvv>5_KGpX{TUj9Mty!*d1_C{}b`X9aM%1@}S;_NC|LIuZJbx!^lT1)FBL5
ztcj(zf>0~ML#>y`C&ws=I9PbWDD16+|HEl3Ba>rz#>!N6vM^eN9Km82S2AN$h5ay}
z#{GYIa`j{b8-ijr9%?LHT-!^Fg4j?I%G4Xh$`ISpSD)NNL0lfW5=}y~$z`DNuHXs}
zu04STXxK8?D2z|mVZ-1!>L`qpY>6!GkW!Mx0tZ3rctuFy?)wLc3KWXm5B;UOyERi0Ts;`^S~R)CZIW$
zLEZF6aQUv;ajX%0!CB1Omxf}YOF~bvdy%#Hm({-I)R~2q9jFsyRC4X0?znGa>chH8Zx4#G;o2s*ttDu@~
z$)48qlQ+X+JQWuiCoWim^w>wBFER=902{_~8h%qn&SDclxy?r$8Z{p^YPxx`oq@BS
zYqe0F``^hzN1~Ou}DbP|tl~kqvNX
zU~wL2O-Ye75yn}GvmR%%r#k~6g)b9eodkG05MccjB8&%E844)Sa{#ds5MXUC;n7u|
zbICYJ1Xagzw}X(XfRd7Hk}qKY-O1l@FofpR<;@5IVaDj(N)(~)b1CX(K1TM<7zBx_
z*4MF859j#&7}-`%RCQ8CI%M!NrdILrvKK(anf+8!Kg6njmLH60nNS-dADi`Pc(Xr=
z8Y}mXegu^q@iF|AGZ)gA_D@Mo78@!@fZ%ZFcgfdeM2@KF{d$>NM9AhrC7&Kty}a0T
z&Lg31)ysPr5MzyyNn~asWF{_Mo}i`NvIy3Zh-}8x0!3o>>vh2>;_{!wIDXo2uMy=b
z&};k}70r*JiK&ke2tF~A<0nSCIEs<@Oz0x46fXQr)AIMv~ygWQ=)Hrm;4rNJ=J4rrADx<4(DLrgdP#20Fe(7
zRZ5}cA%t;OW>?+m>?%tlXC_MuYG$JKAppGt6Rn>h?)XHDVS{E1_akCLCR&%$M5_Xs
zB&1T5{6{_2ntw0fD0jqVm$*98mSn=@*EojmJ@*
zCR6eqxV!faWuKm^ocQ3K>Z&(t?A)_k3Y8qwIQ*m<6U&m8K8;iMHJO9YU_+R-s5&~W
zFErruiiMc&ZKCnIi?%b}y9nA=J=tFZ<6EbD66u-go{4jpw`(ca;=k`n`Zv
zRSW5&8|c!$RW{PRc@A7!i5r_Mdj!Lm#gEm#Xilv91yqFisblWX<)EY8*FS}-5$@}U
z0*iC^HKj)KL4
zZj*`tGOxgspml*kOftE4M1I3m=L#lL4?&7DM2<^ka9nGUmRyG<>#{md)_5b&xA
z7#s=T_!n5Ihs$ZcZ+sKUR$Xy_WN9NF3nV_P{3!I?-oQmehumbb;KWz}gt&tI2zV7%*tQ2mcvnXeqvqoX()t*ub
zHnHJx0a{{#^!Qq;>!Wr^*WJk%W6(m>ek`2Yh`tU}J2I>PshHsjs{a5hg;PB}U~w>&
z*o-G8KZ(hE)<}YGI5G8BWCg>cI{XG*qqrHl4gG2dB*+5(iii$lu{ag@P1S}L?+q&2
zJc3hZWz^YBey2+%hnX?yVS@~y^zvC5vlWmyN@uK|iGq9^@-%Uco0ktrC>E
za(ys46bte~tQ4+GR?!?q=J3NVZkVFsZtO}Gw@}-(1G;h@&SRN~8Yy4x7>7z7^7b-$
zEH!95h$YJegv-goud4cia!W%{oSNC7;^0J?J>?6)NDlfG0YILL5&&=SBF9C)6OaZ8k+rdpmH7yQnm{C@@mV^My3nwcp70LIB{rDEU#ElX0FGg4bb8*Rk+
zPh%ko4I*sT9^pS)EhnNE`b){F6tH;A;CEfU2FCaQMmEyCX%6E1DVDRj|8Ryi;K~x+
zS3hXMedPlx307Z6+LLm;(V_i+fvP?gXk?~*Bd|CR?WcrDzK$@?N@)LtEQh)?|5FGv
zk^P4N;toXikE{WPd1Rj?B6uqt$Z1Ma#mU|-c
z@f>RF`GcJf=l92;NK6~g!%96|HuJ;zaI*#|uWU45aA$T`I1@$joyGFSuYwZ87w_^z
z_yOwhq9{~wUvM*2as=@4lgfRTDWD!KJ~cJKIs$|RbQh4UPu6g|(X*HDMfiRjjl^A4
zonyytVR#|5t$MY`;cwfigbbZJT5`hoW33F9_mhoG=w0WA?{8_P^BbX(&v>esPDY_{
zMEL$zDBdcjz2W=2TN!B}n%#WOqxbFtI^(~$6(IivD$Nu*-ro*6e8Kxqw=z;j4sZuE
zVGR7D>MGZ~(o$}jP{ILXvaeJPZ?-;
zYhNYM@&l|CZhiZ416N8Ty2(X7VkbQTT9}!L8Yw{|Dgixz6*F+6=hK9FKZ5v%FGNs>
z=@}V}@2>0O*NPgSDB_Bp8hhz;
zui>k_T_^BK|5SxMEuFuf*f8BJd$O-V%Q$U)d9X#qTWs`cW7di@(y-%*0>M
zM@gzrl!oB8(EJ>0Wy!+`zw##9h`yej#q~?5N^do
znmI2GsFNZ7PS1uZytq6z#!q)97aZgcGG=(5>f{6*30B@hB8qw~jl*43^-^P_s4sxFRWEfh{TwK7=VPuo${
zn_KC83M%in*={d-yg@sFX>OcCRK
zal`=MD-+&C45})`HG#8~dse#&RART;c2i)LO$fbnCklV8&moO6-9y_HINdv&igqjz
z`Y#57+zM0)fc!I73OA(#!fJ9Ki=_=8z`G*c$;xq+Qd-B=1H%3|1_MOcr-%f8O!0^)
zVyeT0jf{vMGpS3UA8Z~G?ZQgo1XfM~5Two|C-VYFuPpc;-(*I{{aBQg2x;K8(E
zglu30*`zZ8I&!5fY03CaRfHB_3J_pROWtVIbQ7?hF=x|~olcG%W+p8;Y>>HB-a0EI
zwtx{w<&3d2ho5gEx`|`l6je+Fie!g1Nl=7*Dwr6Gf!L3g!u7`rnk}Rea%W1i&ULv>n8duOlE_o)vyo6%UkKa%C=pQ+pav7>uadOFrwr
zItO(M>mxTsvA(x=5eyd*i>P3@2un%kwgkgz%Hs)!<98Mee;fwJg5mTuGr{nIq3ZZV
zd91W+qE?#7kA~Zmk<~WZ2#24K9o%#c8#%75onhEU}_^A0<#|MqD_=>lLQ+~zWxh!@RoUIRDY
zK`^)m_ZvdUcmhxBXq0L&ZGkr>ybrM0V0$guC5rWd!sNs-yh}4X>V@I*$jD^93{mA;
zsotoSX-`0Xplb+Le)W>2gCL=GDmvLHkChu!>@LE+rAnzL%CZxnWtK4BlT#=|030t{
z1o_5-&{r3n{K2Sz7cpY?ae9wqVFZ*x8r%Nu9;8$f$yvY*V5oZVPgHPywlkA8=@~tf
zSoU-db*s_!zzxi+V~``_>MO8P57#pJarIsb>olrxqhz@{UP6hW8#jl6c`L)E%FxuV
zy|v=Rs8IUBv;i5ATrqdgCSF$=*Y-@lXtE9(WgPj*5G{&KI9OV7@(S8PNX#<
zCOgakL6f$3K)=CSPLTcWSSg(B&(|kyFDQ?LeJf3XrMVHTMYg64X5K}uy$adiUoeJ!3<36J{E-uKCSz6BAf0)s=k)Wk;yBeuzQ6gGp+js
z6c1v@KP4bs(>naBQW(lz+6fX!A?-|apkYl&y^}K%un*J7-RM^|Eb?rWfO&ftQ$t~H
zqo#(!t&}2UnHmzWc&3KOXZPVN8?Cq|=>37=m~0=_I>G<(>T)mqy=cYUU{tngcZ#O_QVt&i8L6e0=
zobJ~7tunn`eO+n1x?h>wf+~Q??MSUU?mCH5FmWqYC5I=MBY@y~b2x>T)tOwiw>U_+
z#472+8f-@NY&l48HE~q1zzH-W`9?PdeayA=DCd_#mrObDz$a49^yE;^99+~d*9&#R
z^ouiy(_C1pz>Em4`ou`YBh9r6&xuU&0R7ybuA?a#t+uw@>iLdY&Ih$am#3Z2$Y^H;
zO~kEzi56Hq$=(k;I?w)5GA^m+NzQn7t_@VpH^@eshYp_G)6D6Rk~?s8v!a<#caz_p
z)0#q>QOx@Q@(w8Gw?Q*PF*9V4Vy1g<-I
zABWM--ZrH?jy0H4ezzQ8kWv=-0HrKhCRQnb8oFdk`LFSblrlZJlrjUi9i_ZlQ6crv
zO$NPrDw((BR>-%{okEtd<*DPWJW2%Fl<^5!ObQRf_DM1;DdHzMv)MT{P!WGcHqty)
z@Y|jmP6w2H563nuYM5UvY@w#pJ5J%uDB&*x+#OKDzk+6j5@x6%CHxPZ;(1DVKvBY+
ziL)wrI}?9-!e(40$197i79o|l*~=e+DsR1Pq3g@w=~V!A
z2bA;yL>phCXNVwOwgzz$vioa=(9+697a;+R=z3BRlUE^Z-N_vsM7#T8Fcn5G4h3l=
z);4jsiv2zc
zw*9I`5wKzIn`$?=NreOBqi20!_eTwkuPc23DmnIA;V0GfTk?bTZAG4Q_4&3FPYHc2
z4;g*yTGC);vES-5G!}PJb&V`?)i(JYw5_g@-HN|$`>iBGGr71XK3(f*mU3rG))AXR
zb!L&sYvz>%HDR`|yI2NpY4z)UIfw;yDVCQ}Py$!K{xG0beixh24??qfK^E?$(AZLL
z!O7Dr_9g!WF!=6b!|%+UJZeg~ll0_pC%I?VYH)Q0H-sX@lJ7~L^r1^@u@gfC!X55L~B!?R9M6QFX5l-Z)
zz~bDAOlgp;L>OnqiF~FOa+O4I`j9D*86WaA0J;M{ck%r+5_i#d+{F(=+p4>`7k}H_MTyRgyJ%w5dUVtp-(duyjbaScCKjf{n;U4m%
z{0*pFQO0BSa>8_(uO*j~Y%ry`8A;u`YZT?XGdJ;M~njAwW_z}x}P@HvPy?in&PkRLM-
zF%sh$77Ki#C+iyW4{`-ac!nWWr069tM2NbR?Hn+nSas<$6gR~b=Ul!Bq1#e~&bVVZ
z8iOO@7?!Y74;O`e$8d|)G32BszfkZ46f6xjbnmc*XyPqVgW}HN6jX9JhxjSVIdmRT
z!+k^Ncge$KKK{_?*UP}dHGCtD!(Fr;*KiuzR$aqu@wd%2l*r7uh9)juuA!ye8D2J#
zsB8MmfnqS*_Ig|tMcki*RK-a|;RtjR_XM=cokXD%gf8=fESyB4nWd~+oW%D73_d3j
zzcVNC>-a=YB0bHFlel_ssS%w(Z_ftGw$z5R$YY7wHtk94Cu9o>kJ0u?@-B(}PXW=Y
zy3u7h&};lJ*~qM?;@HNX^&De!)zbkbhus7SniU_6r{Y*fEp@Q6oA99LYQ*qRd*juhEH709tw=L|Zrv1~!8tfz+pvo>3iET5c<)a*`{;-8pookN4K3H1dIJD@)6u?1Xp6u6;yV+@Lf
zv$hT^^>CTVch;`FIDji~e>`r3AF0;H3pe#r2Ffnvj^54e863G=gu=TfzQreRdu!U}
zlegWYwkjE?*-22llPhD8OHRQRP{TLpRGb1NLZDNynu_Kp4n%HU-WxMK!8^lPDV%ra
zqdp`Af^^Swn}JhT3ol
zdGs*Tq}?ApK2uI;N6QyoK)wJtcH6~3Z}9W7k>+i)97D8>ynSad9Z&L4IJ8-D22WvY
zwb=nVeZdsWj4${gfZYLK@V}rL;R`ZMkVEnir+2O|_-y72;*swzXHbe=0S?}Q^99h(
zL-~4PUui1cEYp5NlI@fK525c)p5}uP3QnH~+2VJH0&f%kf05#UCLO}XH~Vyhfgxek
zkH$(pTyF9m!i!D!E#(K*3xxT@O}+GqJA&+4bp$UDZwVa0v@LW1mDVJmG&=!WcT$K!
zBANaksFC9$2-AbESSg%GT5)_#hGr|uIS8rsn2LW^e(_`+wR`IvXNO&cFK&p
zeP=HnP4a(mV6)=v@x(lHI8IkD1v2C6y#;{ofUEa;Xhyht3=iaL+{0;|>*`(ZbM-hY
zi@**G1N!{E4z-5Ne|P_3uyqziSU2IKPMgzCTH2LIh
z_o|IPdD|alnw8qK*->D-lV8N(m)ydiLybVU5a|%;7<`9{cHAv|<}E%u}fR)18
zrxmwwSuk9kbqoI<&}?-J&jWyRs7lmdnqN-1g^0!|>ia!B9uE|HM<`5xCGHjq>mjLX
zaSJyBxIVWKzcaV+<@iKyAwA8ETS)Q1%H;SiniInDya7k}xZ{CZLv6T*N<2_&(i0EV
z%4zXH{fks_tuS_RI2}*&DjeFZxQNPZKp&9PNld}a
zIEfViy8}+*z0izs5*a4QNu1#H&UF$8g_DTOdoZd!r5Y{`OHpGEBAzyi3&nCVIJTN(
z>Ewe5S$A?D2T&-ld~a_qVtqQ9xxe?`6t^?!?|nK3L&D$tBv$I-GLi4^t;5r#8`VZ}
zOrbpU7r$zxh)R}w|
zm%nc74&W)xwBe;0CR@Vg4B%gYP)ou#8mUWNmk
z74J+5;HkrL`erGR8Q<)30J;OdSsj`Yz8S*<`DV}Iw9fU-E|$KT(?WBGhTBRijbgb1
zX?uK)PIuQj(2`{O(0ReJ2H*Cu$v$_WuQB*mK%m4Gqc8#8e7&He;x1o~!(pg;rt1}fTd-|XR-;R(7v
zh?T67ELLB~+J$n!%qh~1y7$DtjZoDm@y3aNYXgh-umb{9N+fF###wPG
zPfQa4Q&Kn`$`r(mLwN>(+yRGj58{k($Yod{hw@BBNXUlViNHkYJ7Yj?=)0$?Bm5xstvI0Qkbz*0q-~Z_VTmX%lknZi@RtWzFYFA
z(6$;@OYpaCFRw&sW-qUaPuE^vOS!Z1I7V`MGq)&c3$q8W*G7)!T{)-)y(%0{l$bzA
z^A;+aKgS5%@b!IYPGwj(Cm^_=WJk~ZJ5~x8@QoPrm(nb>KU{tax2HnT-v}Y#Hb6uD
zUl`qhRq;350HizlWelc>0segph=|k*>LbaK$XTuNk9)G)Zev<@mcqAB=EUk)VP
zY}@NZ(d=e*4pJ4r57|7>?>m!~unP
z9UWvcjgw$#gv3}z#xIDikNcjH?pjE^**X~A$=hPkMAUx^(aDca9vDG%c9{B+fss$d
z3{P;uUt*Hg7n)Lpf{fn$vlJZ
z4sg6e~1O4wEcA5jJWCO--{U?H}OY7B_DMo7%vkNITqRuVzC7Tgv&hQSCwi|?i3eV
zrF^-IfKfDC%r}b9$U&206p>$|nA_XC2!;rsH!2t+W+9S&Ex`~{CZ1pjerLgutw>JF
z8m6b235J}H6FZritFAnzi6`kH@vt4$k(a`oXd@J&oc<`_sXHSfixjYhm#e*#j7g%p
z*I;Sg-Uh}&hGZkn8|NS&MPk?z1|dWd9*k@h<%1puNk5<(V83*ny+RH*It+3nRP`x2
zBMh=Xus9Ecq;yCo5yn{wgB+iRK?EV3QIHhCOcdnh0B{GQAn!qp@hAwx0Zr6*BRWE&
zAaK_&9!gp-u%#Ti%UnxC;b9TE?JTa6WTxcL5UTFvBOExPQFR$KW}M&~_sp@B5k~J%
zF*@_1kI%>&{gX>>d*EQlEd&~Pvl|nCxp^SdecFwSx5ci9Vvs_#
z-Uu~(&VfQ}L|%t!9U1X>NzCvB&0mC-!fEcjpTZsRa8{9mN^Wl@7GM_{<4JVN=z4wQt9W%?ga-WG%$o)|x=l1@CL?$M?ko2
zC4N;Y3gyH_+Q9qe!@)2`~su12kh*X30qd8oc+)j*+MDh+ShTCJ1@
z3XSr3sXE!*hl?6U2pc(Jh47GF;T6-3e|YA*0^D^+9=hhUyG{kY88OgBA8mxSZTPE
zVdfka-lL=>+h{o-zls5|A3B{L^^a-2IVJ?Yp8@{}gC>+tPxyQC(TVq@(P=&^FF7*$
zp^xl){{C8^76YR#Y8|aATN}X^@&aOH^0z*?U;78=BisMRk?ojQ>5h-CniC({cu#R;
z>-P880@)ZCZIMmYd5TrE5%73Ld$OW}l$I|#QP=v1?j!0-s2ZU&FY))}BP#DHj;P!G
z{k1?;21Z*%Jw|hBY_wdYln_+Z-s$u!`$y@cUn!1$2mC$x=*N4~=y&)^F*_;IV_U^X!}8z;rJoTzXX2NtL>^LZ~DVlX2XS=VBv9xgSGyq9EwvLgn9*AxNo
z%Dfv*WR&+Z#raeM4uw8Aua~w8J-2$GFkY-o71Vf8p*~7!$9qZz2-8@TW>g1QX;`Rg
z*JsH^6neid3Q>HSZ7WoAq}AXjl_m4jYQ(X{7=^-T9lpIrd-_yIjVR(Q_`lhC55okX
zyQsPh7@Jm8hPKsZz%%i;Ev-f(DU()X;s{2*pz!2vZ!#AFEalD#Vit+QW>|SpC1zi4
zbAt*Nk5ITe2gyi}qZmD&OGOi}n5@RANGcSVv{EZphO6Tg7A>#@71%`AfDiTR*#1(@
zDipcFm3ILwDucSY1P8zw{$3gY(CHb4K7&E=liFUp4F8u#dw%#h!~Yq<=Ps%;d~!1s
z4$s9%J`Tl$7+xYN!|*1KTnuk1cTNx^C=4G|9@y9HE1%)-$w6`?!|&r!rIhEl%EMpl
zCGakW>v%uA>RjL+QZNRE0{2tU;W$u+E1mX~y7s|e5TMBkazctjqv)9MF07IwqgZ@b
ziu^5+Ne1FaFlv>*-Aty)%MS=uR(ZisYJ2U<%QIfBx95kC%ge8GNZF3O%m;vihad
z5=j{`G;!n-Lrb~dP%e>FZU$EY0Wo{b7mzhMsE!nnYm_K#DjLtjm1sQm0G6&NCSkv1
z4cxbebl5f*V38WuxxuKd9xPl|8Y#kb8eUpuMT_ZjDbe0Z%#nP&I*R|eeB41uv6?CT
z)Jgfc*J#hp^hgPArtTs5+(p}wk9R=ZLGmGyl#ve;M=trWl-t-ct4OjpTW0h
zf^N$pMx+F7CkZO_?WtDBC=77zL<9UexVdR$tO%YP9K}|H=`e~?p*TET<{w$Da%H4i
z7@mXzYVgS_M*(s7uSD@Cmz^&YI;^sTpQ2=EJ|aQHE!Yo9W|Hn77%jR*LXn>D5rpod
z?MTlLq3s~)k!Z?DkBKFh^jOMW+6i8f7;bi?Iglw6(tMfv`y3KQ%GAsFYDKVAaiN+h
z)$kVFVr8hr^QKU+^vRc1xa4w(m_v!>5{X=5-zBfn1;WjfIAAVdJy6Nvyy2(L3fOw1
zML&exJgp%J-9_6Gu#M1mkbp@vWdzK`l1soW<*xDzSQOhxR%mvzRS-85?tF1OJ%?Z!
zaq~8r%xBTP%LC?K{Ja^Au&dd&W^NS%@RzLBRaCTNJMC_cVsO6GZVD^qEC?u({&g3_
zK07+hVA~Wd8|5z+4Hp|lrdNPBTdbY3SBnh*C*2u?918xvE`XCb%@K(mrg`L!yAQ<-
zPb>!Ahn2!WpQ&{|pAk
zGTrHEW-{Hk)Qc6EGTaC|h)~Jw8kwvNq19shiSl#cS6feI@iy8SHZtBVX&nZ<(HB3Dz7KY0ttHs(B
z^rHboB6JzC(GAshoWTsIs92hMRjfxc_
zY-6|!vs>Us@Cx1oA)S@&w4Pcol=c_LCc%M$4k55jK;V36qExAu8&k5+G`r7(BsGd#gtufR&-yfq*B%Hxo;?~<70eZM&v
zF4g;vOe$)!o>fq`FyK`aG3IT^?VzR5}W
zCn^v9P?BEatmF9*TFp)mbfNoWFeTia^RQA6*9?xlbj5{!zR!iWaC^A>JOeFDUTV%j
zLVJXsPFfHx!WuhQIy*(?4qQq#cjR`!1cM!_?@}Ue~eG$Hq+D0
zxXl|<*OH$i7wR+*Tk&}C#a8TjG}&!b1YPl
z(4qcHJfITck1Gpz@7lF%8FT}@Pb;v-WvkI*T5FVqAQn<**Td4ub
zF}@41-?n3Xr);Eo^K3iDDh_S#@L(KX32A-$4LysECa6rZOg*5^S_IZdGw*fm-zO2r
z+*#d)@g5-f9;oUw9LA}7@1o-RxQ>z>W*L$35yqmt(MR!M>!Wy}{ZX7C#5xrYPDG7D
z$7sc<1dPdetB>o6*2nb~hVIZ~1Hb3*={dFo3i@!6ffQ&}U_idZI;3yO(fM5HmB=*8s>Jn3;ArLE`xm4#NV?B3{R7nL9J>
zKf7ytslm1nmd7D)33t1rRN#$qm4Xapr`bs7KY8091=o?Xlk@|i;0*WTpQuHQxi%hz
z&vQ7~tu9=2Z7bFwg$#0M>O#w?uOynt{9YJ?BjHhR!b&|{5*%~0_+xc0F|1snZ)B`m
zWGCvN+kx9qA%|^L>_rv&6!L`NL=ie(f$LrE9`1|<JYz9{Wbz=7DHXf)X@j#tzIjDwm;y|5isHp!yowrJNDczvm
zfP}a)ae4s=2>I)nJlZJkD-9O5!ePjpN#pVZ4$`gMBt9~gR5pG7s)G1m5wcJrcWr+WmJ_Q!X|(5ukBiyI2|jmGRm_sxp>V_jJ`X_gATg6j%7~eXBbS(2
z%Dw8);5o@d%|iqr5O@&p)Bv@q`KdJ5I%5s3&TzIG6rXNNw&-0;@Z@Sx#JRb#Z2g$QUR7Rdn
zJh|lAQV!0ZQk*LrYe*6|^UH!1n0@3+!4G4lz}uwQ#(Gsit9(l%dbEMT&Gl3?KeQcm
z8{9QftjIU9UWJu%+;1g&=xUlqUS6xgDJ^gt+?AD~>Nsv{-7{8#OW?-$lq+l|2Cji1
zKGPm>SRePbWl)ei*zccbCj2Lw&)t=FDI8e!mEsl
z@#O@BOVseIs=A=umiCY@@z!obAfzUAUWp=ac1I4%QK55jLJo}*CvWfKt~fC)X-018;
zGlkwS_g!xv-uvZPPhms(v9}xVP(a6qV^?Q6giux2Zk43oJ(u!W@S6h%7d;$;WWi-N|3@!HXG{uFH)DB$x!w&ONsdZB69*XiBb@QdZTKP#(`z
zUr7wnEaVF@=n;#fk6@)9!D8rMXOBmSUmV@vpfz&5Yj$F4urge%)rwPe%IM|$OO>&y
zUwH&K|`DABCs6$hmo(!Tt+au
zi>mUM91DdbR#~rv;z9B!5tWfY6HhMrvy{tUX-P#Wzbx>y*+;$8#^x5{X-5U_H}dPUI8G>^7b6$AwzNQM}~^xesAw$5k)xA
z!sYi@;u|i+BuVnO7Ug8;WgZLQ`W8{}J6lBg4}7Ai96ilURBq+u1RO3_Vq1{WH_ngF
zookKGne8~Ebj@35VUayMzVrDwvzTzBvmd13(6s6B
zKhUL5SD%54H@^ZVVIq8p;5E@Ag|X)WrNc=UBYI{f`f@TU{=p0#ox7V;C^J!*UjRKi
z5QRAp1`j%pPSs?HplSWnoZ8kXjAAt}xD<}Dlt*epHezEGZ`Wuv;H=HzG=sc=sS9G3
zTiuhCh8k&%rL8t3rzdNXjNQpF9EMkYWUD+{qr-iVLL=LU$$s}ryk3x>vu_4;&4
zZ6~>~>#)PfOlJc078TVUyQ2|O%?|IUT~a6Pqu
z=X7&nsnV#GOZ917TYaRdI!w*eY$kx5G(+uE*R;2w`KtERzU;At89IX#Q=5mYLv?@<
z&TPd1BRhW{f<8mlS}8qVj+ItCJ3{rSTlps=$ZWKroGwML-*Ms6M(H5j+0qw
zYkDslC|o#Pst-XH&|X{&8G;mIS**}|(M5nrY6sRcWG%z9oWRbMy%%9CzXy$4y5(@J
z{9;!olc@w(mutsm2Zt8fo)*m8Tx<|r7~RZ!sfozu-YExWTR-Ycj)1j|WFh>c37kO9
zFF}!|s7adG7+EMaqeC(fc+;xT=zzRE2ar<{kkcH1B#YpK3zl0lNoQ^uKdM$5X%uUF
zOO5H~dAq=Anj9ZqP8i1;jK%`xg=={CWm9BL9l21T`%&ZfCQ=y8?_8Rda7vf#OSwy
z`LHXW$OvQpRVdpdJ80gsqB_x7F89g0`9?fYCL2ivOelcFoxf{kT;pR@2aGb9>=>D=(V97uwkA1g4eIzJ~#=SLwz
z>gwRIben`0<7Q^eQb01U&Z$tZT~`PDMl}f+Y#iE5O773;oV2;_&na2=2T!RF_Iz&O
z9SIwwdp^f0o=@7W?)2P@EihiS9f1D|qXS*}#Q8fnLR&5RJFkJN@&3*j)MEY)vJdlj
z*dUQ{xvO(Xt32W+B(hJJ3-{q|P>#Dl6@1LNKWJk?HRH`PjZsMVsFlV`<9l$&K)C`p
z%+L`FRW!$99@!sWL+ZBV-Pkv5Z{#2d*3>!2v{{%gbm&t;L2IiKr1OWyO2wLGeL=Bx
z1vrplv^or4j~UTX3Jp?2hVLT)6iD}kc$ynBjR924FM@6071#_8HyDmr_rrZeV`GJK
zqcjd~GhXLi9Tpq7)!9ByKwwmYZTK(A66E}R-pdbxf&S0RMw)*z_pXZDB^AUW-=M9v
zfON#k<2ZQof(~mQO)yR|PeQXam8GEkNO@@bwaud-KEUQ?(+R5eCQPqcz+gJzz5!F{kii3=
zeP%{v#{LUJ-<{YHoKBsR2cT4|&I>_Cp_=CL8DX2|?hGd@Y5KoLkVtJO_W)J|Q8|HJ
zL25K+Jm@bPfO(+gmUJ+*_L>{?Kj9C>B=AIhqDde-77CF4(1m3Hkf~1obbA=6
z|N3Mj%|AZ0^&erQef5_PIN6M2rxw2rVj^Utd6JVtb|q&ouhZ&EiRKu^mi!dpO1;#q
zVtWoW+lFGh9I8hsHXG_vU63q=);gfrjx)tZ>NQ3$(rf2(d|Ky2&cM8)*F*!L*CZRH
zV+qr1`vC~HRCoZNNUzb;%;+@;iB!k;m8NXxcPcnbeZ8d~-6q;{>bK^54{3Ff!cYE-
zCn8r+aFe1CZ>IDdC32$tf$@$4s
zIJoZQKlvE#YDT4%h~2yvYp^_@|BwiBlUOm00-sr0Sz&k?^8WHL=Gqhs
z`^(6cmBMAc5Iw{Ah;34^ApL^b$LyEn77B}W1H#*$7Mvm*ImE*v3Jf*LQ$omQ-eX4{xntcB_k(+V5H
z6?1X|wAKN0qQy%X*PyDz`_&nl$(EeN5o)(30r3*ifNWN?jbX~O1VFHP#Rxu;@}wt+
z^5hz+)d2Fcm^pi4Io0jfH87HL
zlWgP=kEAeckXma?QKkbWY73E;KqLd`E>&e)bbo$;aNz+j^`8H^_4K?{zs2-sv
zZRl3iz7SD_mSi+0EqRdRvt=zQ8UQURStlJ!n3ntk0Kv56qxeKxlAdNp
zORmDjt6h!iu2N+<)X6;06M#{gbL!0IeTQ@mMjHZ3zt1V|RkgcPvk#bTpa5xfjV&*z
zO_r<|yDU=5ix`3SP8auo>i
z)ud+~%l|78WK*i%c+4-LYKZ3J;fbG7aXp@Nl;jvbBJH-5`S?|E3j3i0f8w-nlH>(`
zF;tBRCN1&z$5-j~pVT$l*oSO2<)R;}~jn9PeMC5&}KX6WOZj0>s(A9RtHVDN||x0H&~^RP#&`*wzWgks`n>HHLT{_V3h6^@(Z)
zLwDT%XlwWL2oSb%M9-3+DMWX-mze|Sn|H}Zn!h1L(H)Z``}PeKb^ziz0yUT9@O|`F
zb4Ze(UkfUYAr-#sDE+X+Mzl9_A5@L-M&3ikM-OWrLm5+$-i{fNV`|FOJQx;(Umq09
z^Uwy>Je<7*9}AxJF@2%+F?~L6OrH%b{uzX*J7Fkr>r&wna1)<$YVvMuAR8!H+p^%<
z!v(Fir(^#|2r9S%_F05#I-+8$KZIu62paqVs)sNu&qcGLKBZgodT6Z!-qm75qe`!e
zk(+#pH*j>?V+QFe-F39m2I-<#j*#jFPYDmA8L3WIh6f76=s7V>45}GikG*9$fNr2r
z1s9}tK=n(yupoLWJiinKY$lqPJd>OVix40i$K#(Mwh<23oroE>Qg?4^G0HW)y?P^^^{
z179gT@5(E#Wyv~f@T37zFnC+ILi`ekG(x43|cVlVgogJ8zzVrpi#-n%mUB|ByEI
z>Im|zeZPI^Ox`(Gx8SxatKsibyJGWY^_ApiGXLN7vT~sLe?m6W{LLbQ?g1Q6Yb7dv
zZLtZtE}~E5gJZWV=p*a(_t%0S!@zLscq`fR
zi*r9F6}jX;k+lpz<{#l*2mF|m?TSdcGOTNIWxk3~ge;p}dL``*rrABE+(PanX5-^l
zD9&|g>M`!hC;$9F6^l>Pk+viwB-bJnbSKw%c|r9>g>&;2A_3vyDqdMzG`aLT+E_`^
zV>Vd0f`JWDjx;mM0a#Chl@^W@>DP3mt#r&g*_d~lKw=47RL)w)Q(C4`^SF75CBX7s$
z1BIQ-mR+Il41XaVmRq=tOVIT`3
ztjbQ)@CaZ!*y)5-4WP0UmVgOM6q)eS{gQr{&U?*!uah*$A}BM?JjW3l1VwR0M@0cy
zT>e?yPyxkpK?FB&8TWBtn8p8`Q_HQYTUEE}-q%SxBOlQB-CN74v(-6Or%sjFRryXJ
zUHGnw4bdr;lIx(g9@t*b&T3C-cQN{sy>UIqsC5ZRSzmb)HdIbQi)tM9t}#djk2Q@}
zVa25~1hy8QDrH$h;L^U)T7&M6T2`Ulc9&uTwNsW=PQK{Uiz~-hPJuu3ZLN(}hc69k
zZ?LjaZ*t@OrGY=X~nQRq&
zB9o1tTqYX>x0K07#&+%Dd!K=iFo>pQI@9CBREFwQ)$5I
zFVTQ(7IarSnlLSS9RR_!-U!US5`3yEjQ-v0ev4a9NTdz>w=$iep
z9B}r5(;K;2?5z-K)8T$@#wLS$K=+n+kj42|ZB1Y{eie2&`=Jl&r`|z%w+?;?RU@_z
zp7HnO+dAMq#cdtTyG0jKUD%QWTL%mbT{T-IG2!b3-(&dEf=zcdRF#cp^V2eda_TFc
zeh2wSc?|HRnK(LG1TR5Z^h4DM`YrMIVPBZmtUN(^H?RjXo}{8WQt~~ZrS}5Qr)KcnjZ%~bLMMKp)xI!q(ifz&7|Q
zIV)u>YF=q{qU*4@w9J#xmd^#ySx9qE{u-*L3GYI$p|})kv9!#{B`huTTs};cN}iZ`
z>l!M=Hb_gKiG>`F7f;*@<@iF)27IJ_Rb?^nk+Yj4wK3c=twNMDTuDaK3TE=q{1cRm
z$cDi^U0Y*8(iK|jTg9$+N)>-)VBJK6V#O9=K-EaS1qt=X;K&Ous3
zZ$}FDC2!?~3=Wx_33@K&z9f6&eUf|Ot$MpX*FWkji6dI3x-SMn;^NzTuu?xay3a&2
z<6-5-U1%4yUi^jkhakUJ2H+wzy5)Wa{sLjc$VzF(i!Dj*0^D3P_={14tL><0sWW)Mf`h{9h^<>CS>d32Tp@bs~JOo*9(TSbezOfo#m4dIcK_r63TDRU9Fi6cPdoXXSJ+*rxMC6wFC
zL3)WaX9$~xho4A$lre6
zR(%5@%xMP(E)Td>=Sw$p;Fvg{?+29}e2$-b$>&EJ?fK#3e7=<6a~Dz8}PfyB4fd7)1p{eZBDDL9izn+F|)$;f$iu>o#V1=IN
zzjPR{G1_#qHR78~z?B4}yJ#5+xE9(Dk^qUQj0Bi?a!G)t++h(+AraY)sRgoN_M0yY
zBRL4q$bz@YWHy)r0LLc-<{5qwJQ`RzE=zJBYxRQxt=`3o3cFGm!+xmwWdy?MmiAtD
zdxdFT_x=ScWwyKWCFC~RU7@Gx*}vFDG8HAunCkY+RTg&Zobi2h?uyP-6=*toAy6sZ
zujsy}+#XAIc799_dPNm&|*kj&mJ*A=@P>dXnw2vCMXfWFpYurVvT(OH=J$Il$}#
zOR~9}C02NfE~!Re`HKRhFN&d7=l9^Hpk>xopN4v6*Hy7^)Hiq!-i%T*v|jdoE=JZJ
zdG&ncvDsx-sq=E~E)QOaJ=Wkf&DHK6r7Xn8b*(Seo{GJ&rP_heb`0O^bOTURK4b0_
zJ{j67xR|>Vs-~WO=wj|MP>U_*B5Sh6+;Bvo;PB<%na9n@K)wkCYnU!}PK9QA2PYx?DVGx&zG+c5nM8DRS!xgmk>exw`8j5Z|^hB*3Vo0~O
zff5lcc8EZfYQyzfdl0UlnrL(&^=5Mz)`FT1ekwq**?Jz!a+|?PVYb>kjaml(*=;rK
z$|q{7t#*s-pgUF0%*Gptf&9aQ{COcQneq-EAd9=S+4d1R&Z1E+DW;MSV`CY!t-GgV
z1Z+Zce3dGP47$(cfEi@aSs~S;Um$4AE(knQLW`!@o)@NX`ng~26IiSAw?3+GdPn6A
zfB8C8^-aMdq>@L2e3gppu{(1}*e%d2A8@UN71JUAZE?tdSswCvLO)r6*S`V$=?i@b
zJHLs|qV_4wi~Jp+YBcioDNCIq1+91}hm}o>`W*wVP!3bgq!AsT0|Gfcj}*9!=W!#{
zE9-e+-@@~lsd|^3kedKdW`kKS(Nvv~lX9I9lM+MA4TB-r8F`Vx(z-KpoZA@*1VML7
z&cNQ74qs}RExGL(&dFH@;QDkP7in^Oj&SO%t*uR809E6ilVwngIVZ@y%sGiih~lKo
zXvRk#^BGaXUm1mR+}=M9A5DMdMJGX~vUX(xlJVi~S#Y4e-oQuLO&>?A8P0-{-2^77
zu$v)lWYsv>rPZ->CuM+0>2~C-kX(jv_9aaYu6<%q6*nL2jI|I+Q>ECS{%DO?#h^|^
zYrGOG^>gE~XVDtxa_bBNHpZ)yz%%2ML;TgyDrV);w%>WcaH1&iA*9J69?Wo`b=ObY
zbzBe1-;$}wdc8dgEqv$iO;E|P?~R|-^=(bhLyw@86D_`DUndU8f&weaQ$iohy++@<
zsy3uU>=52fV{sQ%wQy`K$oAcSv_d%OS(1-Ldb`{7_Wbbi
zjq*PceD0#E7$l#A!V#e&vjLzWF_1{gh=GYCml#;eEso;}iOX(eMGyzG_k3~qK@Qp@
z#o-L$ee&p$i;l!Z@rx^~2P-cfth@{imSzi*z(WLX8!a1V&7fptWX3wDr2Zxz5yJ>#z
zq>|q=+RkKmm$tK%JF`&2ynFn(7{Atan(84^iXBW=#fk&n@)}
zJk1Vlz{4IQYm;`UbPn&ADJuR;avx0{PkBWtF!{qbWh31;&crPefq&YN(3bh<5c1gK
zv9_eIe$Y;`Dj!f!u=+Yq{~*y}+ez`RC;ui#OvM5*U(EkSU~#^loYE=z4}_8MvE|m2
zyL}!up3+z2P#^ISmlW#ELi6J=ilPh639Zq+0Vdq!fH#9~Vo@#}F|=Ot1mcKRt8!L$
zPhI6&D-g#*lywEP|Ck$9WeW_#h?EOiy=qQ!Wiki@glXe2{G&v}xeY7C2E-c7aB(Io
zE#!lOAfRbKgY=>p1d3IyID#ztI+k2+-sWNNS@HTOI-?Wt9I~n@b|;0c=#q4i%IHBBqB2=s)-0bO(1h_4w6ynb8``eCeU1bK|rhATok%On2TPJ#XUM=8jvz@B=XDIVTo_9BkHdxM{g$waM
zKY*m#=(KqTpYc|6WMWwTIbLhD>z&Cp;v6(Dh{vk=W3>TSP*ISS_*R3%bdaVN?t`W`
zTOfAoF`%2OXTxHrzGc)h)So?e3cK=2rW!l-CD}oDQ#r?g2nBIyc`;M6oS=2Dk^uc$
z4#j5FheWlf$Vh&Ljb+25=A}S0mo0rE^)pRz+rC97w@$b~ugwaN<{dTgob&NpOipN)
zH_{4i&q3hdG*>M5H1*zIGSP*jb8=v*bkjrKk<*rN3DO4qt+k&J^84`
zdy1ph_P6_tpQHe_7#O9fwX5L;*l0FCEh8wWzS8Me@sH9+zx|Ue25>!Hkb!45(Vm#eYeqx>3_!@
zp}iB@@*N@3`A1!cPCf=z=vuB|tRA-xqPw-VwyR5^jI1A^${u1d92tvA}~9l3BE61VZh7T$n#
zW9g0*;TSEd;6He4iaa#i9;#q4oakpEUalgn^@>h&%w&M
zY_*f1#vWuU4{h*6mCC7*`*8yV=`UvMwu6<+YprHybg;4xF6HeIa0qa_h9Ua=K3*|w
zKzj?oofsc)wmP+u!Ai9QSF(?H>W%dn6h~qIqxJQeUJ0V*YH-Q#rux{JI(SIA)M_yQn(V$8I_ILEGw%9f}9ZheT6GK1?jRdnM0CDIXYVy
z&y_M_BpR_vQMygRg(!U?@klasJB&=_c{khP7`Y6+iO^w{A^fDampjAc%Fw+=i+%{X
z4Bbr-x{H>Pq5GljAQ_Tq%E*w3C6^3Y$}NkRA;~C`^xZP8fCQOvdB|?M+=qaHqg%w8MK|*&Xjm2HG
zjL@A6Z3hXRL}*6nOnkb8&Qk8UQp_Y#+b!1)Olu}=`J#734pAaS@0fI_G@Z>(uC<3-
zbyzrLOPM&KiP@_%0HReDXP`7cO5I`Q)0O&4VvT00>!TQw3)i(YcIzyKpQ3~-XO?=C
z(Vklhlv(N)g3n#FjKI7Z+71#JiKL9cm^g9?jHTRy0G5yh?uL{G<~RGvXa1{m5FE+;
zuT*xKDb>PYrQK;kD#ki2wc{E-tQg>BOyW0uY|~t{lJ8EZVo}>%8=fG6p*g5CISv=q
zq&4w3F1N#N>TCmHq`3k1KCBayw$IH4NqZ*|O_KEGC{E>)^e7?HDoOY$PLljt8-8fC
z=N1n|lD<#yxr>&Oq#r}uL6XFfq#Z}^ZZ}vFlP^B%q}b-|I_li;D?{bI)z65L$n!lYChbV4gRPct5TT-e;rE62oRc
z^x>{7GTd0)qnZ^!NZiv)9hl)Fz+5toxUa?G9@KAUjz(Om+SfHlTgol(-K-?>-0fkb
zFyot0=g;_$Ig
z4&=}S`ldZ)!}DS=B?4xS!b<&|_j?vFbJi+#HJM@(wFIQASTfQIyPF!9jUgnEu@1$~
zP$-|qI(jz6v
zzd_#YFpa}qRCOt1Lv2Q(ZPleb0Dn_<2OfbfLTw~6Gv>94OP6_VDYrO|X(TSYkrhGb
zn7zAa6V#ZP@8QfGv@2%v=~UDoc5}2g1*cg^SE;rKu8@(A-u7JW3AvX6z
z@gTX7NXp2Ci6fU>Sjruc!xWOZ-Mo^($7cKaoPSFWVl$lYZBjUhrv$Xh9YmbL0v*J|
z16t({qL{dagXo8vCnyodlAKU22}-U27<~Ct@H@*;GWVVEMEO(bDU+du+(Mo|rLh0H
z1l>KFX(2o>$bmJlYtjr^(NYNycCod=7#DUYbxdN?)n7`XAdPn*U|Q8sx|#@dV*6wx
z-B)c*CpINPHVNPs^DZet%Z7i|(V)
z+@pK0>9uIw6n9*oaaR-yxDoz-sN`^B@sm2m}Q~D)mVQ8{5}6re-NdEKShtkh+r=poYh7m%&>?1v?g;{QAUdZ1
zn1f2iJimjA`W@2~;vCazt5YAYkArE+76ReHCKHA`8sen>4*;w3vzu9Pgj_zJp%Gf0
zRQ#m2mn$DRPU`OO(%bXH$DP#Oppwt*QTaZ30w9iXQulqQQa_3dd)xy;9
zL(QF6VIs*n)Z)B80WkQSSNzVL*BY`LIj{6IJ^p?IN7l*m-4XEg{L!
z+!dXvDyq&4ft_NuUHel*m^U_%26kHaS?3AZg@c;DkODw6=v7`#66l;>E*t4yv(=na
ziRP?hss^f}`qzEA%vUWrqWKlnlKM)==1me2(N5{>p{h?i3!m&@*f$3Dd2L{Ez7d&H
zDCr`MTgrudR)%xk?pq3D#(kRrn0w&9eGHMt-8Y5?ay~X8Mnc@TgUNk^G!imXZN`IR
z%jCc$L1iWPB%ebV`jXFZP=s#vP9Ah-{Hb3
z`QwjOs5}7iX%rfKLP~i^Rt#6O(cU7g2(mjj$^M48dYc)lY7K6Ks;?v~kXrs_)Bw2w
z`ZK8HaM18moB;|W7IOy$)9dify+d!$%csKengx}7Do!;(V;!$~(6(xTei8<3b-W~!
zG6txLBbNbcDYr0`FC-Sb!Bs#jm_2$eE^^F%OswFi3O5o_ECP+h#{ydAMxxLLLXmkv
z78&A&B9>BWF%tWL&^{v(zcVB8YIcn2R6d}}
zpnNSx(8!f?*wJ?3Bvkb&O~Wpn2rSO+!jv9K2VvY&cH!<8Ms-_;DU=z@@M3_v2bSSG
z5N+HtWQZV}W)0#b#4>!*$#_b&1y%qLI+9FA7a9y!Aj{Yo3qB(Lpn%X8k6s&CB(28M
z?MRtT?nc=Ak`MAB2t}-mt!-mqW(X$X|NSZcr`@LfR1BhoP5E)G)X!xn-=;i)h@V;Q
zC)4sgcFXT7aUVOso@gDM*+?x>YZOj^0{VK?;J7{cRjA~!C-IXy8RRZ#?wZbf6tyPi
zo6LL3z%=Rn+~~*4y~57?3Bm0yTE@=&1+=Z&neW5jwgrBPyo{Y`;?8AfTFN~qkVzyG
zyP-8eQ<(jEO*XPJzm$V$TpZ_CCJIWRmHE#Bt#T_<=m(+PydVoJQz&&Qw-zgN*1P>y
zCVppD=F#{>Rwg}pt;`_sM2=SgPhM}LR~%qjn&u3TK`KexElER=z=1(`qJ)l~GSKzp
z9-^JaWPS>!mz?VEpUS$n6v{s9%b@AKL*2hAXAsIxS(3}~$z>zWVen!xKPJR7%Fjat
zll;j_>mwjD$a4cy@)AHRT8IOqkIADg$6R#W!JXRX&a%qF+UDUJov&Z`!okXMBXHh+
zO}oB+4fHu&TUL?9DhpruLb#5K+S#kSgREs3j~8KQN{o8gokYV%EkhmJ?zkcm~oVQMiNDtUWn|LX@|X+8k44-&2nrudp+cmq7*yHCTxrhYxO9U_NURGHKYK_$XvP&egtqP5dEK<0a
zNDZ?+ZzR<(UHJ+G`h6T2F_~&MUH7QMT_<2bL_hT4(VdV@RD1CQMR4*{C)@EkmDS`chx%jCrkp
zl)j6Pu43?o((fPqJ^ARzdy1pqTm1bMpdSMxl79Kc`96tNx{LZx2e|wv#v7^M^a8+=
zZh$I&QwmbXZ<+=5%KA;%xA2>`${a%u(j3kwxeikK3y=PdcO|BJ-TisC;{LEL9_Cl+
z&doQl4L;SdQikjDEu$0NGKh0so`ALrx-LJ2s`0MNBT$REF323t3y-!Qw;&09CY10%
zo`G`Q1Nj0znjXlZ%xVyOd9(#nIe+EJXP;7O*EdXz(Vm{%vkNROReLh)AED2_WLx~B
ztn2B#pw2xU?yY0%ksK;$S`G8vP1|k*6CeC@B`kr?0V4`|{y_Y35Ih_V{~ZedErkCT
zT|Cv@zSe+c*jjrE7fc`Q4ng{CxWWi-bzd{w-e?W3C2zx%)QGH6tr^495b%!ncdy>!
z2C_atesQ`dtI~5AyXn;i)-}iA7N<3IZ}*C3qh^is-Pu3_(>=yp$$4b$KF7;;fpHuQ
zWFs>Kzj{8U-Av?>t)-jS_A&!{GNK)ohJ?MQz0+}fyhMx5rSTfvFMz5M2KSl%o_q!y
z?+m8#Y>wW~
zKM$VZ4m?QcPHm_a`RT|tt5|KEhsA+OY{Y79|F!_BdY
z4R9$TYzSuI!wdFc_wIt`=Gs_g`N<0hD+^cS|6Yp!dl~-kJV^A5e=oph=;>@&s-!pd
z_HeUZ?@TUq_oEF5Iy$e;+F%_ng=W~(;qWvxG$bHdu~3*AtMC55M~L8Uv_^iFz|u>Q6YxIH^56J6$E=
z#$qB@O|Dd?SV~e4ml)O7Rq@8o;Ry(-gVUXxnypK58y^;anfh78g7M*s(9URO6X*`6
zpEhOTT)t1(o6
zgTE<;iZ42dOkWI1`d~2w6sJix8Ps=+43+nim!kWiT&@&w1(eh|=r={c{v}lMy8m#`
z-8zb&h{FwlI07a4(Ir8E;thhJ1t
zfiiPI``&1#Znu;>`Gj6*4@t*vZ`y;&!GzUqA+yP$FZnd
zVGIk>hBcqb=0RmK(mWjUQ_sTA2E<4&M5pHf6V177vBMV3hoZ~&d(Q{R*?uoQW%he%
z(L+qUW%hfOl?a$pd$B?T&CJjh8iI^AG(9UcOEZ2Q;-v%TAZ&z#b)lFr>dthc27Gmu
zRT=6uvsQy|CA*TkY1JJD^DqqnU$v+0NsO?r>CG9G*BLexsTz2
zyw_1qP3wl9Vl&+3UUh;soH1|%`SoQmOuqO;o;+I*2jhYkfxwP9ctaCPL%3Lb$wpeW
z8B`rcdQ+Kb)H`T%)HjTeK}MlYWnHVeK`v2&+qt3EXhVNP^H(&bS2{LH7Io`yJkK7i@PHF?fo7G=RW+D6J0Km8Ef9WI-v`_YvjdZWt@_TjqkV#o=a7@FjkDWI;M}7NQ$;t4u`4{7RzEPu3Id-8r;K2eV7{kG(RmPSVw)O
z59jRS!&%PY3pH0R^7rI3S9nix=1Se)UjcK4fuSo!kGaC=mtUNlE2;D)g9!STF<0RH
zcUA#9t(6qUjJ2{Sz}y3CUklM#!I%KK
zRK92sw&ONbA5EiBSYkGa}_?^p$2
zRcK;TyA_RBs(1zT;U~k^T&p@sS8PHE&gC%hbT|aHJVH-fmeWiM*xyNU2wOaVA%}$=
zQsF0WK`H7>ZsWofY*x+ybAYtKt*I8s?zjyk_h)vu29l2{@4EBl&EE3jL-mzJ6q!_a
z$6!fpxqSdD^>YR8NJEg!QDB0uVEJjlpN{n@p~=XEq`f)5@5YbS;>p%leJyUyX^M|!
z#ZpwrNuWSrH;$Csx@DCs<}cj1u(GVOu{PEOcWZKR{=(L1bK$be2>My{djsyPFQYr*
z;cI;ap7EC5HT4nriBJ3mDhPlEUasA^Zq4{;9p0~PPBccU5Tw8yKJe!Ft@861HYVWv
zMzQ^SCAVX=i>?hbjPErWZ*`hI5=Aq<1Nd2}yDYNxs;>fl2V=4E86Od(SL%A>m!xXR)HNVQl
z@DA7*-YSd??~s-0B|Z$!hd1>R`Yjn6Ug5KRDVZ8RaJHszZpMa!jR`8FFt=pV?n6Bo
z@r)7KzQm-d+t@{$4ii;>I)|B&?|CZTPf$_6W;`jK{?qG|gmJ@-o{SQN6hRc#z->31
z?ok~ku6Wc}lAttG?Du|MOSnZ9N5{3!UQo%Qb?{T1)&aXtxO$YZT8D3m(VibZu5|_p
zK6g=7>mxjl)=!#N;yVX
z>LPY8s8+yd8K2~?4EkX#eAP
zfWGAV82pn$zb=4TIa?u}ddyZkGPWXi3@S(uadPO?4Cj;nw!ss!oc9=M5kj%=iR<<{9mfQ
zag_YDzb79hc~2T8=a3c^W8}Z|v3=R!V*y$+K+4h5qV}z{)XIr*?ySGn$NN+Nczv||
zVH_==@%QATCGRPgmh(Q~o5+#^v}AykqUDYwH91?`XgG(y3)=BtI?WF9kIP51eyAF8
zs(FdOCm+ptPq8#R-rr*ZnlV5kX_jA{hijyEPEth%-!kDE&(2zs?%2{4#7wlt831w*
zqBTa4t9WcF!vgKop2a0TFIuB}&uJo5qdCsAd9;^k^O9JL3yIyB?}*vpOOFu0psxEt
zH=QaN)O^pBTZRw;At12=BEw7n96^`bBx#|v^(Et8p);0z@d(b=x9N$&HgLFs!KObD
z;MFlm601blVx@kr8hRE8@N&VWcn?IAIZE`+e(0TlyGZBXfJ#2ERmF7j5EPEsYkUfdM_?Mf^2}bN
z$&IcRNJ}|5j4DJHleO|B__2a1QH+OMd(a+eeiK%=-6PiXZ_ObRu3Yk+`2X>Gz#PZUuGeOMfYq5zYMP7XfDFG~)fj
z5_tD!OxRFlq*4MhlZq(-u1O_ZZuOaG1bXVr2?J}J&9T(bpmkwpXt@Mu1)#A`R)2>==%TUa{~^h1a6gGP()DIOV$TLbSW2;D`?SOa%M+dB4xGh6XUIp`NxZZ^VMm@{1YWG@3jYhQDmf23NrS9DFiNiz*6qJ
z{})u3WV7!7iQ&TRX;M0W_PjAij^bv|?zpypSSdPn8m-8Qv)yS9k5)0BMNFL5`AMrT
zl)iUsv;QuAK5?sb#aG=IDmi>r{M6g|=?J4mKZJaKT0#)Ii<|l@xi23P^
zB17f9OvC(iQ4w%fPb20pE`fRP{M0ToQYi(Q`N9ZPLP#k4_YBWtfd!4
z-`+Pe4d-!WnjZ7Gc2`EDnLP7!9C8jeBh{Nd$yBdFB$H5V^16|tXX$|RF&P&1B~}`=clz+}jT%0;mG356xyc{Fj+v8m
z_e0x3Ja{Jo;W9(;t2(1Wxuc7rUE-@~1E5k(XuOsKNzQw7P^_p_WX34T@%Apx*opAO
zs55pVXjaOG<%}K0K6%dA;dge%?sqUScE*mLrss?uCEvttWK6ytaLCS+d{eYi;*{N<
zN^G=fZoqmjjxuSAB0|vhmy&a7-rMyaT_SYx4LljQqiker<q|Ob1
zKVJmEvjl`VB$&>sjUl+{9rOO-#9amGa9bBh2QNSgD^2mm`8)aS>mv
zyNH<8M9K4r@d)Cy1LiG(aPRR6HRoenGEMo0#gGl$_S74)fY4Te-TVk1N2eLmH30Dv`0{wDa4LvUh@
z8}iEup9(P?#TY@Bp-?zNQ~E3M>I5Mi|jQta~QaeBWLt}LjJbVm8h
z(OP}|XovrR%MkE5%{c#wxp9v_8XBp0#%laswNZ!jHnkCvzM+GSt{H=r4x-X{4Za=@
z*VwEXnc(>!j$R7AcGBNR;_rH6cx(c0Zd!xc3fpQE5CRWo!x|jq*yNgZ_4O02n&=O5
z0j~i7=v#fQcuOnFo+J`GYX}q8vhh}`e46im04%0Dkh(n(Xf8i38`&DSBbZR*4uZjFg<$wgC)gSOVfjwopBhK7)&8D*1miu$
z5p12mzXAkfV3Z=*_I$3jQj5MxYO!BBwXXJ$$w#d#;;8jne@{MY@t!nlZM#&A3!d~b
zy~*EG0Xi`NO3`V4Y6@9NMW4lx=CEJ-uvN3-w8(d_sBo_sXpJ;l*%&b{7wxd6==7^P?i
z=P(qv!bY`uqJ*GZ`a-AN0sis%D7PO}jj%fg{XO|8$9syS+%kWE1t`bBC`Gxs%mcKM
zY&L!p0AZ
zs5$gm42l2JhxIr9Vfje)syI^J?C;4(D&CVus@ys3o&Np`5R8FQieS6wYbZ9N%@aig
z-O?92>Hf(-Kp*Ko5=Xj+{XO|e$9vL97m&^F>;4`K5RU;;ig>#k3tl$rG5?xYv;_Us
zS2_iMKTQ6E>ytLR&7p6CWc-&-
zt%d$E`KWa;RE;n|j`sKDqZaQ;qt>=;#1IApPx_cn^7mALP7HujblOEPa5H7!Q#0X9zE;h+U)PG0Pz?Q<%p-R^;?OT77?QZ
z9VvDU3=Vz0e~>=ny*7?`xBGkY5s&wz6AyMe#PDX}vrfD_{k;_+9s{Bj@%C|T%-G1d
zyQQ!gu=SgcfCv2u@DcVCafJPfzb7AIc~2T)b0@#2{rwdnEd!$zY4>yQtl5aWhpo7v
zuKlA<-v9I?!AIWT$B}o3`wQDPyeEyk0oLi>{vHbum;q9Xz~vO*;I?EDyo8vg
zDpZZ2S=--}k7m55Sem`k-(vxqF+d_|mS3EQo2JnK$!~B2c*}&F?qQ1=aVK0(fy~64
zeiMN1LA>dEkgs^WDZ>NBn|>Qnvj6BTV7XgorTgy?jDeTSDp7*V&xODcINJrGfoy2)
z%0wGeAX8AtBW9!s5#(+TIS`~!V5xd7F%KbBUr9_+xXtHc&?F)V
zAH+)iT$mi;rSUfvpQ^=kMBh}5xP$;H##~0aN=qyW9s<)kG<<~bMInYC(D@EjawG!5
zPikC~9fqO1OjfdQ;$bm(hA?dT;G{
zJYX9%?nrI32f5cnxhApBWe
zPcz!{!^iXDoJ{b!i>d;V>;i=&vPUn6;z0r-k(3b#6GtwAu#|gl3`eBG5LFG>+Uz-B
z5T2WZ@<>6rghFjA1M9|`RhG|Q4jjUaR}^6P3Crpn%K9#h2S3c?LgIh*JZKdJ5I&L49KBf`Vvza*h)@}Dx=^ux$S=Jf=l
zyJ#7axf$9H5*dl8jL4XHa*2$k+&R7G9Et62&zlC(Ge?jwdYf}d7b$u#q!>DV4iY9+
z(RnC8Nbiv-rsea{XKCbC!NN~bfhZt3`x2l=grb}YLTJxUh=YZ!73)pz^m+JYVV|^
zkuh*#5m3&XMy$WI1lGM7x|&5sD)~R798LCjDMw4W6&LnaA4rOJd)+dqRulew)%xrl
z?ub;a8(5IBOShg*N9v|kxr(@EKKqNG673{Nw?(lRH&AXNR9Oua{M1YJdbiP@TW2Z;
z$_EHOchNHH^+V8hka}fEicqhgD>78xOOMs-6GcGz+B9PQ8zr#rRjrZLEhU>o!4p{DCX@^o686srUmwqN`-LUQ{gTKB(ldpz%|jiihjq
z#L^CJ6zK3BWwhsqk6X}(6MXKXWmNnz&~}iDmq^O!0TV|qJ&-N88aLL9G4j*b+{Rh?
z>1*CR2>$^)^Cx0y{><1Kf6T`kz}lh^u(wj?#1{X-*jyGmcS06I{>C2_YKT3ViU2+$2qXsLJ%|E-L~-DcTqNWN5)1e>lxwFS2vjIlF6#>N;pUNKZ*5W%QJZBbT1Clsh1Y1*DSi=9L6%!fZdEy=ys$
zjb!gb=>$}2O0d;+I5Q=-WY)K;EV%^1Qf_(g
z_$HN|9ySW%Wf+*3H5kwP9EPqV^-ggH_b<
zQ!hnryN~JZx#dR@wLj(1sf?)227rP@O(H2HY9@|cqGl;KgrXL~9;pZQD#W3(3}FJ}>a?xJPn7q@M;xAWSi}_He7d7Eg+88m$kHRw(f>
z-onG18LFH(38h%D5}%M@6$MhwQ%UPqo%N7AmpSV_ShP-7_$f;G
zn1{vzwz+G!87;bHN|~;1B?#R`%ZT4wpzR>>lW59_pNS=x_*u%G+jFLp4AJd<+aRRo
z81jYmnjGRq3hBFSSp?WMv9zADX|x6tTnpn(8?bK4F2#cU-)J3D>Tj?OhjHSowkFYh
zq#Lp-{GS0@yRS6YCbeOx+p5As%pzFx9I1dY2@$Q8<~UYubBW(jr9+{$kvg2vtE`=*
zsTI~jTUOb&r#RrUV*eW(2EwYMq
z|9~KL7cC>*KY_M`q+6mXBi$yJT+(eRcl``uMoFaZOo0eAiHWa#P4f91Mv2rU7aF@3
z=_W{)Y!t?hhBJoz!_GCV&x(avc33=(Yq!e2nF)hSz4=-aisb#E|EJ5RTSRc=T;BVk
zlEak7Pra4*V~iI45b|A+BMCxx(K7P>d}upJ-X)qc@@`_uCGVDUFD%J8lKkDWErEQQ
z@a4tD)^6*^p?;$cBj}muy(d?P;fe%JPl^z{zH7`JB8y2aOp{_BJW*
z-u_y^S$BRfF{Y9TyejFF>{xuS?%w`f6x;E;w;#kxIhik%lqr{=pc>Jw+BnRGwMK_x
zX3?gu^4uxH;#O{2lSk&r?rv@bOFeTn?fifXx3?w;DbH?AC_pfth@my5Yxr7#UWc2H}+jpob0ll|4E-KrbS)z
zo`V$j4giqv5+6`^ME$w><-}cYh{hf(FmYivw|&J=9k)jX;}&%|S6_!?rEr?Rcx8I0
zb!GA5%1O|U;NH&wUr*;izwjYfAQu)`-O;LgUiS>++
zxW}*EiimmihhbHXSz_A#f!ZhFC;3}vrGJ)O5Pb*YN1>|Ed@`=oyPt~p`VPd$io^dU
z2GFs0o$$JF=yJ^3=L@}9KJs=2wVf93CQHGr++i`&Fy2!f!4~@aD?l&?Mk#{rZkb-WCehRdTo0y9!$Js*x4J;Q*gxK5Oa?_x
zi=*TUe@{M2@}4wG2ILigxxdE(v}Aykqou_vveHs3Cuym_)oD55AFq#=m&MWYI)6_-
zTJoM^Y5978j|FJS04YVw@^@ao*FP*D$?k|F*@yi-`AEil(nyv&^F8SAuK>Xq7^Mi-
zlRGcJ?H`$sW>3b^>}UR-d^F=d#nJ3P{rwf783Usf&3bs}quf$|e+4MVz$itzGIw4s_YcS?WT(WD>Oy}{K2q_XG*Wr)ysY_qDnKL#Kq(@X
zzw`1c|FC?dx;&0lU4KtLQt_TNQsvHJZ}j(9fM5)aQUvSeotGc-570-t55|%16-t2utL-{+@i);yr29@?3uT0)I~h
z=)?dhMW=NFU)=#1ZZie@{Nb@t!oo(274R4KGE*2c7bLy~VD7;MiFITv
zenBEb1Kr2>R=zC@9Ou6vapk!Xp5wkC5l`AFr(fv0#L$}(r=w}PACzoDcI`_hyj*Ks
zDF=~X{WBnpgecVFfWvW~L~iWgvV2`d+v3D@7e?AAh*9FHYS!0UgOyfw6TE3v@lazE
zPCZg!Bh+F6K(&#<`EX5?ay1mIu6HtU{BU!8a!q4m!`fPF$;Rf`#D>};>{>L!jy-{G
zHgf??Ipcc98Lx`vjO043alo0gfUT_5xd5o6ZBHVK&TCE71}p8+<|cV)Y#j)VD2I_@
zn7yIhsZ~cXe7@aj4v$vx^&*~nT5NqzSMw=mrWj^!D2kc68fLb@O`mtfKq>-;-+`6-
z`J~XZn?7H}gP79Xpsw2+ML{^7oL*pPJvb<%op{u={4GgFfpi~_!UB&S{wJv9I4X#r
z)R5XDbXVi$0M=w(KmZh1nYaM5cJjP9akM6V5P
z2Z^3UR7UhnJh?>AQZAJbh>7jR)w4Fy>rvAndgci7MeqC^(nX5iD-72Ov!+;+Yd7hf
zEIDiBlT~3}leWL^s
z>aA$*_({D*x4bE$IS(rNPT`ah&7Gm`Akma)%7~_kC6{Pg$}Np%6iM)Id|eP36NY?|
z`H$X;%!^9i7HpH0Ir%pLpA^M+Tryrnd}oym{1hb_Icc$18|?+j#rXuEyJ#7?cp0=E
zBo_=x`jU_L2H^1`L*>2n_=?I`76Ij|X~g<Cv1*(BDV>ULR4Q2C7Aj4b
zp*0uUE{b)pYTLiaNG1PgRGZ2EF4bl!cW}V%yQ%PYgNlQ4GkeNcZvT=aJ(0@oFSq12
z$C|AT)p63%z!0uma+gQ3B3H$ykkDCGF@B0u#r`|`{>o@CNGV)I@VSeYQN@=)+d)b}
zA}J%UCXQV4nl1O2TXO$$OK#?lY)A)X2uZ%WJuyc@BGv8m-;#T?F+{g;Bj{XD-9V$X
z>M8sbr>FcIobNN*^TWq?S>8kNxr>(3Q+Gn!L3&CeDWj)M9J%zArCi?Kx9OTtUP-Vf
z%=Yuy`*k^pjb!g>y(Ra%QJlj$``a`?D`(@UIL`LZz<)5>bF(XAm2>uQ2|jnxGMxPk
zv>n9R5=j}(HgV+QY)d)U9k?k+yGj5jo9*Ru@;7o28Og~r_mZPa+8twVvo%35*qR_9X8-vDvRe+~BL!pz-jX{K#gANGE+Mp7rzZT=OL>_z
z+H(tmGBs@^_}oRy$jcSbc96VCBxU5q#F0y0EaggGZkviv$%a6hOz85Z>Eax+L`u{D
z;R`tLj*<#4wRaNwtx}7hqNFx=!R0}tMYk|2a{Ebw&|S2Q+-pa-$MvFnRaWO&YE?Q^7D43a6Q!My<-
zDR_s9`ZP6+kvCs{HD-7ssmYhHQaBG4x%u+P!Elw(la`w=o!L2lK%{c3YtS=9
z{qN?N6LpcC1!`JT!DzRHz6{Pn2HE%MUGBV%N2t8#}3u3!S3B)JME1YQ)@xcn(zR
zk@1?j@bbCPcF+X9fPipKzW7x&WuV-lVThLa39SIC(Cp2tw@4Tc%t0Ye&Ri8De?b+M($S0~xsas+tOXgp)<9mb@qk+`4{VRa1=`iI@yVg#W~(;Dvk1y2ieG8jU1+v7fG}Y)H@u)y
zUd*?M3;IrwJyGVH+d%<{SNe>l!TZHpgpZBi$>OoZqgs+Dq29CaaCs
z#D;cla>>cfVaPn!=(LxtV(2<|atWkWY%duaS|Sm+1QEETMYsG8jZZGa0-YAxM`Q+R
zXy&C%3{A0Qkq4-#*wczNjTVgaa^^uz0nFq5xt+bEdIzCR!Ir?0t10RQwgx6Tmor9w<*e-4_0k7SPuFWqfYqD^6%f;lL)ccpHddPdv-dv!lVi08Ax(h9_F80ZB@alfyq!%RDC6}
zM6>YTF(?v##2#2liUrIa$-@~ylR24J1OCK+gMy=mN7{_gu(yL0|IR9E74-
z!1G!TP*Fd7uO!>KLJ5H?10%I{)rqkV%f-CNmhX!duQ$NEhJ@KPX^b`}#zrUyESRUA
z+6Xr$HNSce)f0lxe@QHn%wGf0s_g3K85|;K|5wlufoj>LdiY6gFPHsuH>PhgTJ%H6
z1F&u&2;D_h0Z3jBg(I?Az5$8{2>?S=M1Fufiwu?bVp(JPrJ{8)F_gk(f+vi(I&b`Q
z5pX^Rm3$6F8O;A{3Cw$Q1Uyz`qzv&O1sVN@UsNG*={HNcBaDnsA(Aht)-6&S^q~ny
zzCN7Hp>jqadYcrxG=~PX%9oeW>ZXC#fvKITFnh$zl)t2awWjDM^_{DFl2)L
zUN3S~P4)=(%WT-(3~dMT-fIa6*9?wdjhTLN9J(c*x{(z@MVh^P^%+UX-{zoH
zQIW`WQ4-?qU2Ncp1r4zb`b>YNtQy4RQ6Vv$|ea6>t7tHmg-=^n)P=)*c921dUqUL?N;gwkr+=wsqt_n3>0
zJGfKZ+*wvxSlc{Y8%LLV;R^>V$Boq5!)x00^=qKV;o7o_ELK_g!WXhd(E-o}JIGqb
zR{VcsXUZz$=yznF+g600geNKWG~>>BSg&QMyq}so5ToA)T3}ZupQ$wGtNx>3g|g2`
zux1$Do{{L;RnnL-p+HvVy^gy5yr>&U=E7c0vOWAy+tU@e`J;xLWM6EI_BYgxOvyn&
zcujD0NCt8s*#{xn*8xegBYbcHb0ug&fu}q{hb`81ooWjv`l;@7)@*2wOh5`FbAMB!
znuKqvI|nM&N2X|?&TW>IhceqNzXA3ty3H~=H+ch$kNQS61A8nph(~D={`XvZa`$=m
zKd}nYIm;@`VCR@r{jy6=5$fd*CrSp|$x{W~9?)J#I
zljAkuM%IySMQ&5I)tGus@(?o2=}?QUJEMkA9zj@lNJomG-GQLZICeq;`xG}y0o)~+
zY=m-fW8AiY+%xbIrWKg!();|LdlFg`6^yu&(@|S&jK^H6a)3wf4Z_y(M56;YID!zik6+Pj)Ob{nVmBR;+D$Z;7@LWU
zwPY&NKp!wTD$HKG->7Bqq1|4>u6$xAYyz~G-YYxk-dxVkh2Uyr0@%W5Ops^kX39Ir
z#-fZyOWRKm%aJk`(oq>=Kc%=z9>T^l_EUFn=NQ=h#)g<=D=B=f%?HP*y3IlL+?u~K3HbGlH
zeX29J=6<~zs>Zutb*RPMFXUh5e#IjMrHp%NGo1C2%Y5de@Oa(;<+#UlDL$HB+X>8T
zn`qY{BD4uX^y}&ke8e4F<~M+YKsF=BeR9tMT!vL5XkGepJ!nZz8p&G`*1qH|9Ax{9
zuIhU}-kGkkQW{up6wi+dP=h78)T^%~{>Yj6Pz>_KmhN3xsh^w9J-bl+TyY)?+`H-|
zI~&4Z4XtAKtqiIZMS&aXHb{!IG&oRf3u=3S(w^m*k-v4cd?5-geDCiesN{&S#82uP
zyQc5i`ludrwXYKg!i4ga(8uy!qi@$E!%D*x0G9i(U@WUBk|acs013x?A2{jGL6)id?p9oh!h^H`6(*ukJUVm
z93(Ri*^m!fg+m?A*4_n9tYQ=3SndCLoyFa}gM;BBvkz2qhzx#;5}BO*lZPAa`QhU+
znL`AhyQnG#$sd3+wiRG>PU`+wu8h#A}J#VCXQTUU@5m4#UMLtFl;%ogTb(eO0P4x
zu?t4N$6k+OJT4eD!T``S8?KC>q6A}hUcTh3j27Mej)>=?aRou>E?P!3u7S3LL_?w}
zBN`@_T%utqcg%Uk*dvvZqAh^1nDFEa%i0`5WQ4`rq=;+%c)*Or0~664%yBak9+-G%
zK&y8_2sj`@Si!=qFTA($yz2P)*rer5vSW$2!cJ7f4#%M3EITR;Q3u98M+SV)KF1;6
zh6i9jtTtvnt~`hL%zS(POR^yu_}}o#cHlAP$7Lhk+h*q8f}jDdy-&D^iZ(IzFz<>#g;5NYG`@ztB569@W@#nd}Wg!{Y
z3(0<Dg0LQ1ECD
z+mgb$PtQRzP72(xM4<^ZERPCkl^d2qR|vz>3$h695z~Z};cUEgG6^vF!nyG~i|ctG
zK2cl`J!Rs0$av%d(?Q^gO)j}AYXOgzC*0xO_?bcXVF?{QWuWUxIQOorWHt#FwcR}+
zm3m4EWEL28g?0aJIg?a&TO_PI10)(;zR>Q^0CGt!D=c2zA*2ZrT&Pe
zkjOqo&i%sV3@FEg1`fbSGiYGQ7wVlJ^fsftW2;HFNmd~geaTBWFv7gkImg)Uq@eYO
zP>5K-cRG?FvrC8{m|ap)>lK3nzDEIMW_s1}i3~$}a+qETgSbq<_p?&N)P)GKX<-7d#h)C@~8l)MES%bH<=kH8GG2$WP!WQg6F15c14W(8@B8DcnGry-Vt
zmNCR8p6>ecy*M|{)bL1CJxrc*aFFSjI7DJ5)XlXQxPweX
z`qv{&zlmKjlWwuB%?`!NpUk~B24jSme%k<9*Lrbg-;>Z*L9_2iP&MA{`#jWQW*;&u
zGy5X3fs0=}wsb}^IkJ>*f)U2ye?mEKQay@~rg3TDRwnYGQd%2tOEta;nfP1{s3;0?5n|+z+3~
z5TqxUA;=&uV+bC!ieHrBIqA2Tlwl^)yo#~o9dokp#k`4u24woAgL{yhyS{GSL>mqr
zt{HCD)~&0e}ki;kPBkCv!>JBQpfy`G}tH1Y&+JdWiXxHY{Ra6Ql*-0OJoP#
zPFbUy&Wz=q?&DjKA_TWrhxpEw<0xvLrI<+0!NxM?S$BKMsBCJIzoo7q%j~amKnb$U
ztk7tI2+u3X>$LARpvNxkAlu?!wE%|M_*HC|u^;+~JKhm{!xzS(DwsH-hsdt=_vAZ7
z#(O#|>JZsK`1>nxh>U@uD|2-gFyb}F7=E+_`TMz5n~i*XT8j&MI=<=z{zpF=eCIRY
z#Rd>c;0OFY`3TH=iX-r+{rwdnFax6$fp;_KCmUIJR0;`VYVULse#<{l9|@m`BjHc|
zJ^4t;dx|6BGyeVxkdT29Ny7Z%Jf_O3+KW2f2f7Y=@_9Br-+2k3$?0vUFlD^$!=PSS
zZyWm--uBiqGsvqRU0(cey1$^i%g9V2cQ;naFIWlgDZxqc&=NOVUUVGTUvOi7eG1g
zp&o{hriXeui%Ipm9r-xzHe=<0{Lv}>+v`w-c`Xp7>LUv
z4+b0<>BaW0K{-z(YY_6jRu3ACGj
zRB;xJNZ2#&G#Cs>Stw!SMT21P)zCt_&gvn99j!bH3;xjqMlI8c71@H#5$KT^0#DmQg`rZTW@tXXA;svxL&
zF&zJHcdB%!k6gk*CYP0IosYA-^+1)wz2TFpFJY=k)A67e;{0T42K
z;0iyf?d3|u972ka3I0om@fSv$ei-?YtDg~!?xLzxBo9F0h|`F_g5p6^ArY043KLH*
zsj!qgq5$(qgm#P62AMM9$d{?F*q(=)dUpBm0h-VMZSx3j%7FwlD^E=p1S-)SV?CLT
zUsa(3X8Eh|@#{w;Y&d`t3KsB^uhbInUJ%|>9H#pcb6ojMbr9jnk5Wxhdz%#J_pS+G
zRUT%I=1z{uEY9zZ1+>b;tc8^)j8f%v!yC>Ut+y*ML4bQ!-&liFGeQvH3@-5h1~^26
z*Iwexk>VftpUybYc^dMT*VV!7&hY#EWq2l6HVIn>%b*Zs2?RT3up*A-z#BLL+>*cH
zqfESYdjxzsC%R$G@?!}&rF14W6r;Xm*pMbKH&M{jr9esWf96AFK`9W{qWL3_g)AIv
zq}oy~1lzewzT+g%S(-U`gni&_)Yy3v1CXrdIcxd++{Op2F{QWLfgKS
zcWdNUsOnpfF?I@W3M|f7Aye8WQwSsBbJ|xSyJCOXLt5t|WeRd;k@89yLeWLagjS#E
zQ0FHRhx||{!wRi1T#X2#6`hJvWrMv`nyxH
zQn)TSn%k8WqKVG@a%I&^HHa(V`ZQ|m;avB|n()o@Zm!x%ZCtD?=`SVa$(pQ2jhKu3
zUqPi%QA!Sm!tUjz%-vPPP&`PKUPeH;#00;pY6r?48ir_zpU?_0^P0Wo3&Vv3eULC9
ze?0zR`=dLRJ&O#U8flm~=NKcv2Me^2S4mXQE
zV7Vn@0q+5DXT>cXmMazTGlT9f2^~FUpzF!uW?eM9efIcCQWb_Pn+8#K|GKOP$5ThJ
zxNErHWu!R_s~q*ldR$jAK$1UMXOwt>FCqUI8vv_oPw6|nEw^(74?|KX=d!3yUR0)OUXO@Bqwcdq|dS0NFS-a
ztVd2Ll7p0Oa4gWiU(uC}=H7IVQeuJPy4ItG4#8g7I-!#3hmv2&W|=-thmh`KkU%`g
z094m&aq&b8pe?WcHy5&(!Xz@4{GG^U3OTQ;^~O}P6spF@6YT-Dm_LP#$>NE^5h4Ar
z{u#&1$UeS_17#4e%Q_Lt@gStV@X-uH@?L$_7R%^#VV;aLimD^EYjP&`-V$h+PO8{hM+g0(2EKhoJ*mfM^GKXdkKfh6j
zOt~A(`yXPi%W^c~v?7Wk#gM*v<0rqy4>KXFnjG(RXyDo!zW&JMfTligD`_3Szre-!=o3nAQ8@45{%UWjey6%qk`ns%Bus1eunUN{{
zQUH0&QRW6P!#z9A09-d?;@q>7pe^4_pfk6+@0Gj+s>Zu#M?)>&Urer`HDq6(5ZaO;7%2NY~!Tut`}`>Lqs9GpT^=Ys%qod
zD1^JAZFTEZSIbhp_9YUbnJ5GkpRVmyOSy=fuOuELugfxfb(@q-BlRUW=Aavq!b7J2
zfr|P?X=_}U^+SM5WpOv};9$7Oe2)eL)XN@H!B1*?xgwKuUDkga?fK#32UMOR_}oQR
zF-SfIh20SZnd`Ft1jU2IKq4t41}2VNVqhs3dFxdw3Xv6If;M~47l)@bwBPjXZ6IX^
z{B!Zt=)v&cq43{A_;1n0Q;~A9b??nO`Z1lO-E5^u$l*}QF{$9EC<)2EH|q?eML&dG
zMouFL-9^jD$XU>Kkc>z)Wn{#}l1oM`<%-^Vl?qGI7C>rDc=DxYD2EUkVevL8&fUCL
zlSR7-@^Cn`3v>Jpaqea^pjCeEMwr9GzAt>H!+CF(V+Fx|Zz@JNbC%-}
zZ^Py8&3cblwgb;&yi+!^)vwX5V>vnffLeq7lEO{K
z^}k4j*!Cj43*jHj5m#e%@`1qOe04IVRB}JUSn6~|{OV-4-%lTXZ3i_Izc(v|JF{?k
zJB*{~!ev4$K6J$5`-n(>#DbxQyzaLlmO_qLoCZfM?006tl1G8tvd+Qw;5424rmVgV$3SSL|VUz|b;W-Hy1)fY8D?!N5}l^n(?eu^?q9k*a{$~eC2L|SU}
z=_e95Ul-FD+(lLMHFl-r2xwb1Uw;N1n=U}3*5l_bBqB5BtBFUK`D!T_cITBuVfY}<)USPOWc0z2CiMvk8ubgz=o(NhMxo`jJfe8G8VuB=r@
z;DDkhJMTU+R**$M%1R|di4K*G46Lh<)i86B$kJO|JF))wQ>$a`+7<{NdNZI|Rf}Q4
zL+>(b8QRJoJcM2O1W64Zx>a`2y}VqM{>ILwEuwH<8s4;^Bu%dZggz=qV>8M_;=5CP
zBp<=XvH?OnC{VMlRppJ;sbo8RHV2%bARsG5nt!vOo3Y8aF*5G%tQF@aw8Q7~LCmHug&&+Y*0|t6?p<
zs;(h-cW+OOk2hPLHSG=6R_C&bW~bJkdJUQ+XF^%qEd>PCq<_D&vPwLA|1WxH!0heWSDaC|tISy|T_?5XW*
zb;GiN3zYI??4jE==cAXsckD&LmWg57W6AYB4Vfxx|^3bq25v($Z&Q
zA&29!h`)n!e9>YJKAHhGS4m?6t)?_?rm_Lzvo=7IR`^~SgEQ8{lNFqlAr}-H(L?iB
z*49DJwZ?F5S!J}-8E-FJvIGQusM%V-WYah%FYG|psU;KRkkfFaz2u0chabIU=}}9t
ziNzT1U+uJq#z)q%Nd!F0lX?J08Zg$I=0N}6z;Py=x6!wXz>@BRWu2
z(x5Pk)5N!w1{Y2s%WyXmS1iY^Gwr_m)QIL9Jbj__(wCwJ%~#~UfXuWOm^vF!fuB^@
zQ=53eQGxkHk3q`GgZuABdv0DwqVUzW?-6|NqGeXwegti+t8Mx`f
z-BRwb2$qnD?8ejrwl@3C7leIt5S|ePZ<8YW;nM-)#TTw|zR8)pMfAhn0j=_dYcb7A
z+oxzo%Olo9M$2leRh?Xen#z*KQW}40-~%Kp9RZqP?h}lcf(R_Ew(X#j!)n7%QC3?{w0ED;o|gfIbFvS?=Ps(+
zY_XvL{m`~*vpo*9OBcD&IN{ETL{i3PGjZgy*=*$uZ7$S1h^krIYZj5q@h1S?w;+gv
z;WiO+XrN8>6Dpb?wzK`pT4$owkh#s}Z>fZ6w!a{X0r--^Dy$SPPIDL{cXHH3o>#{V
zPw2aAu~ImB=A*CriVEDsAr@k?X(>U5NR#N$y)hU%RV5@#p<1{b$2tzu2{%K-q&R26
zc+v${!X$pn(VQ^I*@Ojsly@05!xUfaC|S=D!^~GeHxfGB;3^6TStg3py}gU1l)^L+
zv!A~bPf97wFUi4{a2?_xPf|+!&f;~xi%%3yL{FJ`9df~VG*RJ*`P9#7hxv;K=lhGG
zxV8BB7+-NOi?t1qk-iy7c2Y0aoiANPIa8>wbV>LxK&C1~I%@^GhJTQabYDFaTtgT)
zxj|Zx$aWlCqX%9I*)0#s9_J8#7Lp$aA9AQl)W15v
zobc5UjZxJ1TRnXJS_rsMQ2t8XR1!*6Qq^KAO#!&Rz-#=@Or?+F6PZf%G(DygEw48w
zHmn(M;!Rv(=8}JTJ#DRo$+Vw7kEU(f%_dqxPYVgnWxm#>iEl>Q0c&ur*Mp0%!D%5rj=1S*QQfgGiKC70DBM2s6Rk6!i-|*AUog@PW@anYF}YS
z!En~XIRY@Dn8ZmF%2PtJZ8G;8K#9I&HvWk+pSJcowL(Q6QMN4~!!(;v`^KP3OwD^?
zrGC!$ju;$eg?hIY22q9n$$pTe>}J0KVGoOemS)O@P$OqX6*DD{DsZOUor?C{PC7ki
zc!C(GV5M+k$Q5?GnPgcuyEquCGFB3GtQtw%K(|&S>80=?honUM3-Zee(jyL|Nbk3I
zxRE48ILb&8DpQiwVkBJ(;QEXt{LYM|*W(izN%S;5MiQ+j#TZEb^(59(3FF9EPZE%k
z*0HT8i4Iw~0j($TS5h638}nX3rh8fmG>Gnyjcj$FU5vZDF_aD}`7n-eiy1@4dJ-Rz
z(-2DG%osv%1Gsx&2t5kT2t$aWf()T|aH{7TLVF8CNL&ESh9u1(=Xc4f$v3gDzT`>X
zrO-Yze+^0UBcbf^6lK%7hV+XVG>JL)XIQD9^LoAkwCh=L(YeK@&AgXH>}EazMYsK?
zPyb|B1^bf!0XTD}N-+iEkOHT`A5+nuTR#WJ3{OyEf2AHZ8o!*=JlFEsWhDraJYypb9`m(i%j8~cxi7hgcOaBZzMV5uc#rV&!4yAPGbewJ
z4Z2wNGchOiL5$&SmKH^%ov`Yp<;x{)xg(Yh+ex%j
zCcBv}3MG~OAen+D>~BX6m!CcP22}D*su6R0=2qFKplx+#{{a4e7%nHH=w1*S5heII
z0pW@O#ILFjhH`r?w_{i$#90C)$866#J(ET8Rf5keVZx$7_6f8oJ|562Us4g$B81%w
zvPk$NRFLFmi$(DpfWc=`;CE(GEclkNDClW=EQ+OVIMyM~B!(FkhdPZ4wXG6%1`tuc5LHr35osXw^^{~VC9sk-w{1s5`fArbiyl7GYsY)=KXU0x@ArWaHdd>J&;3z>nTNwuO^GfU=u@Q!d$VUU<$^2t_#Q}C`c+T)xwcVbw+z^jviWziIN$BV)
z16@y2`|Tpi`
z{4>~@5~~oFI&iyh>$ME6ZBHGDUHRmePwAsy1$FRy30B#-o!*nK^iA=5d$AXiNiaoE
zvKKZ+_KO;+E}00dGgFA9;--n@&>Ud)0gEZw7yhSd17Uvc`2XAc5;!@kYHt#(>?T(nMnxy!vF;c439-rL_`tw2@3k2
zprC@NfCwt+14TqO5m7*RKGE<0ze{ahUES54VE8`r`{h5?Rdu&>&pr3tbI&~`^{K%6
zG#YIz^0(qSV5%xmPSq+Ds6QiJqY9J`ImWV;_Ox|zs?bf|RKuvI^=n$?*W#B9bQyj0
zDX;r;@XLLywxKwO{m|Px^?jD6asD7K-dds@*jf-JVQ_9m?B3+`8<%2M~bidRB26jxPrFH_bS)~1G!
zYE_y#tvzg}@&)fuc2}Q;$EAZ^+T5OtU2ao4m|aUwnIT%3HN{rjRFc+SqgYJ#1jKVb
z@YF+Rl#GGW!g!0##w~}n#Scvx#jZp#)005m8BNcAE#7k2VK^lvl)Rm-v34q-l>3s8
zN$XS2zV1uqW9?w&j75cwYqxUt1-k%iE9}#z)w3Vk%?q+x)uWy{1Tr6DW|ivMXLwuA
zag}4t7FI$*d$LA#>Qc}GYqUF*H@(KUMl1FfTX1$rJq*R+3o+wf{=8$u0%
zFCl5z?5s6WWe9w}&exS8Fpw_qnc_+=@M;&F`_(sVoT^nQt~VoHvx+Or){5&^Hj0I!
z@j2A5F8kx*m8z>fRmdsI{wZe;Td)h8LEYNz?$62!X^p|F-5%`HZte2wF5asE&tyqb
zIJ8B{%Qt)M@2jwP9*CwRw;->uQRwAjkB+Y)Xu5A^efVFdx;cBq>!SK66*A_*(>9M+nqzewO_Plws`_enre2a0yWEf
zImoB&3MKg#j#{ZCJGJ%dy1ryuN!H^XO7cS@lgeFEdGgVvEqP25=AkiIDhyOvD#_iv
z5=yeTs-`5%8aJaPAJCOGlDTqUqO+XIN{?~zQkjDILW%w;Nz=;GIiW04kFvDE&cQmbxfMbpfxy~SRYx6AGJ1*?;F>2D5^%*&Xc&?r6n+eB{%2dHsDZ?t;9O*q!h
zL~ld6?s%JZOK7t~Rl1vy6c(vN-0J7BMY=>>c}u!8yri&?J*bjAAA69YW7PZ_6v5`c
z@bXrp+7UnXAgfVb4El7~8wGu;3tRoV(qRL6qfs4pk7}QKP=mnv(8I@3OYgMrQeK@p
zRVc6Pkgi$fm1QgCRgDLsGY;T(T{>gyVkxrYNrWG^rLz>^amYxctCTNf3}^DJKY`7=
z=9{d|RP!&YQgu(FTZb4F1pSjk&_?#Q-CsUb1I~TRCY6wrqkk(quP!?29qkcJG+pxm
zrAlb9!WFiB6M@zdY+8h)J|S63$4hx(b`)>eJTS=Ho%}RHFFwMVYLB<(g-tw})$T?f
zpFx+jRPA-$@iuo_q~;{D<(;{BC-=<2X
zh?gossEB_Ng-Q|s60d}a7gtq8yeTW(jFo4O9+m~8Sk6lC_*#PAA7~&bi>jhtO-msk
zIoKyCzgAVh&2H%#_MGJ0U@oag^1iEB1@QvU|JO`o?!F5$_1IIF_eE*z34UmgCLw>f
zt3jl?j6DvW%t_3zQvOczb+VWsyqk7`ulUS8F((^6#kg;Io3?Lg(?ShCdm(8AgU|f%
zlEMr=s-$QJpQFOdYrxpbBv*~2ivg&N=)Tv@N
zeFww7+1Zq3>)BL}2{D`gO-YoR{%tcC2O4}N|J$p5x5Xzy3VWQG>&Qt{%@Y5(*5cKB
zR<75!7I`RWdZwy8Xu8F1J{LzJl(zX?#6;7TXskHJP@zd3?+Cf7Mjsy^M6~+2Wu`WB
zIfeSH*`JEkWM%ic0g0;EefY@DYn#XJ^EF?tp&YF3K3^5Jto~{bCpXWU8?H_^DLQ?i29dfo{7`1V*u?g4JjakR<;4RG(6$B$;YnTcZ>3p0@mOAk}I4
zxuA|*mE}jv53MJLR#`6#v>>;~b>*_ad6U=%a6T*
zXs^$BR5oPW*V$_D8h-5bRTl%+IsY1k*;O-Yp)_Za0ts4&$>&hFj%xD(-Qm3^pSHNzqiTyMb17_0
z(Hh}wR5q81%~|G2tn^fKm8!cI=3eFsG7XJq3TYZzX*WDHnVthQoiGR3Jm{S~l$(60
zX()q2&Q-$_h7Q8rruj-`knV;hUEETru7%4>h>EO-OsV{YV6~*^K;dfm>K9Ebi}>lb#D`f6$0w6
zZlcn-^49j5#%ue_Mr!L7scsRj8>h@nLA~iDHrJ!@W@pSh*Z{dnQtuEHQ|d-Vvzm6F
zDV5IQ`A!q=J$1W%4}V_H-dc8f*4Nf#m)o~HW3NN^1m+=)$fM+2J|39lE5s}6qPc31
zLtbGl?A4CkYjSf6l16vceixk~UA5Vr(p6hGldDbPlrcS0|B~ooQk*=)Q-=GKZc^F!
zr_B(5
zT;KsN^n`I_^^D*%Q&&z-bB~hEJ)+U(GD?Wk$&MgO&%jB#eek~p|7V^)M3z&rJhhkr
zr`YqPH=)ufs|URJ2&ya9$<@3P>ZG`;rcTPvX-1u#Exed>`I6C@&#$FFrikkqVps4x
zlvHL=UAx>;4kdlrd?`EFp6~9?W^#u8H>hg0EDJL#6Sa2bb2*4{BeiI0GF!9{Wj3vx
z6++pw9!o>c&S8uBmqetk*VHh%lA3zF2R*U}u+Zesvl|zzyVj*9IutU`Wqy^$hDpBe
zl^WIFP`d0zO5iKL{mrpu4+1JbtyVeFT=@~41%4mH{wb<
zn6@U`q;HLi}_j*?yrGK@*B6{|Vr}DkF0`}`@jePFh>)&6^v`4M^BKv)+`Fqv9EY`t0ikJjSM|!%sT^f*m9=-eb=%(yMjOUIk=7uJ
z(MDJ4*43Yd)u&bfFMMzFIStAzTE-ks!Q4Rc4F+q1Q>?OeSe
z`d5#PiFOr5zdJb#HF8&9rlEq(+yN!3ng}O|<(rR*oO)TCGuN7Q+ulVt$-SCz6?&~b
zSOw+wZ-#QK=VMfUFiaX4CUz%$K*EM4O{FZUzJT!QGvlgFGnZ6OGjcfjMTAgRg)HsL
zXS2!9d?AS=o?^~{JXP{CMyX!HPsm*%Iw6fA7L@=kK)x4J@WL-aI6HU%}w#qFJl_
zXI@M-y@*f@#U9fME65o*Rxtw$*uW^Z7x3>U#Q+zfa0xtWMG)pr1jTgbIg
zE!Qh{0C>N)zske1rQMmHGLF^e3yD;+lx(BDsXqZRwN@Gl+OVL?txYic;-Z!%1AX~|
zSOT$#_UvFwTU>kq2y?nvg|x*py;!}A2smwa#QjArd_5r^A%*yx=+C4|=|u-0aDcv%
zHZncw(xL--2Xi~>rLswuOZh}!HaVz@Nam0O7k>#%@x{#>ZRf_&QCH9I#C3KK*1xXb
zy&DoE6@SVNa`nqrxW%gHcDvS1Y&$qjH^0dIDz_aT_o#cH{tmvjrgH@!{W<;8~en;noef_}44cu8Sh
zs7ms7A(qg(f!p%h+pc-xr8UrnvJy>o;W*cdKdARc$>+LR`lq*L$Az~nY|tHxq!D`T
zqv0hT6Qm<8lsb|s$0pER(
z-if3U`ttkXB^?vem#QRhU)It{9}h3DfxeX0h}f64Uss-6-QQWZBx&Q<@=#r{^`wKm+Egj0@-X^gQ_JLb6}E!o_R7KUa^9#xt--kvZxm;gK_fe%sNxXzU)~NsRmId?TB|KD*de=SP|fnN9@P
zOU6&YMnHB@lC?c{qG80-rBYvU;q2LJM`5<~1DvhCS(faD;}_ilVxlN)?lUhDAs9Yu
zN?^V2ZpyOF))d{J%Y8Z0@vuSaII5UARrc_dC_QZc2`$Bzn(E|HFuCl6^yuJi5Exkd
zjKQE!OTYbfVQcMs*e9|}VAnn%YM~Bo8b}LD?B}Co`X)^fYnLiarhB;Rb9+FFO_F)O
z5~@2v2-#OIWQNQI>>v1@e_GX0_}A@S4|luhQQ!LkG^jpLX#XF@N+XcCMX*x!M$yps
zPcoq9y3pLsmn(R6avcRcFALDJ%Vu`&={g*JTBVnD%-)9xa&t~)irhhrC&hLqJ#y%3
z)0r=o^1ZVP+<3&EBm6rH5H*@BPLEUwr9z}qY~C`Hf`1wj_G6G(6AWY;YmMuK
zm-X7jnPqr34P8B?$3cZ)I8M1)3I8i8tcCBcq4s&{jYQv8xF*Gvh}`5
zWAzpAT^voe&6}x1rIMslp;0QuK&3nqhwX`x#d~ErnxIuU@M3#g#9_C9eFYKyo~*_V
zba4n)l9s7s+9L1dz@>ypVm}fyD7>7tN8DOt&^~q|=Os<|D*|eS6B-qJ_P94wL}ZUz
zEpm92dO2OUNs{!UM!Rmjhr!Jp@~O(xUxF{4tmfhId@ud}gg<;Cz7GD~a2g;XscYcq
zq*;vNtPZ`$^SwqqUoOD|0)BY(<5phbb`q(6Bnn11JmcX|h_uW~9QlFYUp!|>2R`K*
z7(;It;7n2G8A^WD5=SX?&j~j{*>%#N50mBltI|%#UN1ZL+D1EeB06>miJKUc0lICg
zN4Z`72`mDI@y{7&T;|2kYU#`MwBV1~XNbSWb>a_B2lTawQ78^+!8tRDb6J=g;1gPm
zany9@3-CbELsI4~&IRB!l|F3%x0Y@kG=Koj=Xo?CZ$HB_LT>sfzg4FIa%0kVV8vJ~
zgDtz`qPCeF6e_sA2%l6Gp3BQjTnEIQ!rLL9d3-|nnl2RDMjDeG+5oTAe6~#Q8R>^p
zjL{dj7lE$hO6p6$*`jd5;i{()FT;nnM-Q4zzP-PIqx;gGr#%iGK2}A&Dwa^+u33UU
zvt;g4uNTFoj1ruCRbZu7)2qa9w*C^*k>@XV49e1_V+B74f8Ob1ZqBcLg*;q`>4ntg
znqRG9XK7)KD|?g(-SJ*uE{>XIjmV_t%o`HRUiXsjf5T<
zgDeLR1KlS}MoGS=XQIFE<~_(ki%#=9%uYH5Rn+&1@cJ&OQQ!H2^&N+rac#RLLQR4#xYfK75Echxsszr#3=IZ-yczr)qqrL|R)^`SKO8JF9a*_`aVGd_n
zySIc2yPyV!EB)RD>ds)nub`PV7O1N~3<>>#T-_pa72fwden8#!pjpcq2Op3K+HfF=
zFo37N>|K_+>?-?5nE3U~7%7c+4&B>V6K4+fhp2JvFZ&{mw!g3?V&0rAG$OASVi#ov
zJq@5ks2~)h*lsLQ!u(PIsuL}@zkt77^TiBd3CxY
zo34#!p{12MVZP&{&Yt$_X`D0u%@fF3_#7|))N6t98Dn=v`sJdR!;P^A>C@4TkQ91s
z!|81XHG3%9N--x
z7J4W48C{ufe4RiH2=$gSj>&ZcEQV|P2G+F8MVCCi;N%0RnSgx65eGf8eA!5U1}6uu
z@kAE1tI4yGY9R)zqWBUUYzXb~3X`P0zBxLig|yt%)kJ4VSc^mQ!}d^p*`XiL@o|~=
zK;j4zRgdf8eFIJf#HwkNFL5}(sblOcQHc4Y!+NWdCc)k1)W}*KmR|);s$|zJNj}jO
zNmjJ;+$^k5e$FE~qOzVXQLN?FvISM5<{ChtP}$*@OuHemHr!&-5o##xU1RSUtPuy2
z*VqQsH8k}IQIISa^IaKX7SzL0g?JDfoiL-&vvI$>PLw
zYEaLJp4blKTs6>Rpz7g?Z#B~I-_S#0q-ddwm(>l>i|@E6J?{V==c0;TN1ISihGMur
z>dUIG;cD0Mq{gX^d7m3NL3DSRbXDW|Bb-xk?g8|xn^~tL@z+HMh0`fyL!zef)B2k2
zf#r;NdzaxOX~dg?fe*$>z9#HhjHnWa<&L{PQ1xv0pI8x*rD*y_@E=6!>5(ykgq2e)
z-KA@QqEZo2s-RUOP|L9}Y3A~Aqq`fy1Tj#g{Zzip0V7mLOn&S_rl@z~AP4$Z{N
zs%A)07=<#Q`;)w#zKIn$vgS`s1LhiUOr?Aa&D}R=Qz~-K-fR}8)h&>p
zO9q6$>cZHXHEU#mOByAeAl=w<7XdUX14KiQ=Bu&FC#^GMGEm2<8(Ich7RFDV(-xnL
zQ1hp^#ajmXdx7|U(CHgbpBbAG{|Ey}A(mpc=y5oZoBi4r#iHV!Q1e|uuB3fR#-JiM
z(!qhAEsP`C9yi*1+T&})J2>_Tw}~}%*Gk3rkjZ9}G(*??qGKEJkGs#@oF8jb&c&s!
zo9L~KZ>)Jf0I{0iK>2{^4l4u@UGDU+-i?&{fH^UQIAr{Ea@bD@_=1n=!lludr0*&@
zwT9K&E$e22xgDF8%gHtCQz`8+Qj5`rB$3*3d{KNu3j_O5QYZm}_&RfJ=^=iA4z>!j
zYqe4x(pc5sL0c~J(ahs>VhzXeS3W1a^vwy0rW4HEIpHo5a}RL4M6eoSZapKM
z+kM1(?%eB0E*O+ZF#H;jmx^e(G3dHM!r4u*Rz)hQ&TgqBXy`oW=B#-h&I+)G);1qq
z&;qY%ct(PKz&*)5R;icSVpaUucsfQw
z(0lXU@6E?F6!hM_wz%`2_yK7Xi@O=$9xzMb!>NV~GLy30J7DHUueu&6N1-=myX9cu
zNC}jYiUN47WTZ_6SLeSVJOBA8o$nhUhoXC)mEBW$?#X?WuVeEPUlXJ|i~{U44+V7p
zR->BgXD5yBYZuYpmPC6i3ensn<`7WqFOp)Rdtx){fs5^Eezf-HM#xf$}207NnOr0tt4l}kX@ng=$jdJ;=S6xSj=Yswf!(NPf
z!SX6EaYN+h^r`is@XSK0L@(31K30gJG#=th>d;mwjWs;0=XyM=Sq!bWXxAAXFJ#fZSI_!(0_%Y`g{O(^BN5}o+4
z3is_%+(^``FgRpQ?#|~+j7IKyxMG+!p@^;8T)8(fKr_$~?o8y@k^2(Z?-5_LL6%eH
z9sNm1_(PS_3GppsR2e0z1X*r0@y7UqLCaSnYpgS}Lo0?`IC+(|e~z@aHwH4G6%LG)
zi~6OJ*2t96S?)pdiT%k!4u??i2HYunac3;fS9KX|)X*ktVkXyDE+w!#oloJdA!}^8
z)IIB9d`bk@)4UH8MxlUUw`m-E!6#5aXI8bVG-OS}GRK?CNRi8sHQo2bmxXx?27)zF
z=Ihi!r=I40;7e?6$2Jr}s5D5FMVp4K30V2}l(EGQil^{p)YHfuZ@Q^biTF+t(k1oc{i{+-34(}%2`d4)poaV-(>*T^xq6uNvIf;6DR^f{;Y1Sj%NC(cGCI5;dj{y=|!f4hu5(4H^!%uX5W
zX5-D`>>+C>rVtfD3PeIiNCJ$!A!`io&)VmJ`Jn5>LU)(17~XM;*;j9JP;n;ft~Cnn
z8KcxK3(I%SPM3PKC~Pb~N+7)phgOWSrh_+o6ZSB*j~^x=;=m~vTiX=};q)?);OVX`
zk1^x8P&UsYFdiTI!GIHIfQum54&t}`nGhdgk|dta6TV4&=&>Nj9jGlxiPUS$eJElg
zgp*M0lsvc?Tm+w}TsL?@3y8@S8O3s^_r38(Z>N!x2gQo4to&Up4WfI~hEc-3ox1RG
zp0x>_rOIRz$y5sG(dtkOmA87GDK8g7D4|;4Q)%p8~v2_&?tT
zoI<$jVZarHPd)~?fsn`KYi0@SSf3){98}yqn@zr(R}Z7D<{x>rFJbRxfJ1n7GOxD9
zRoNQLmX!wk1Px`|I?{_fM6)_XlR89mIz&@CL^C=>6FNloJ4DqxM729al{-XrJ497G
zL^V4^6+1-rHi@cj64lxysdFVxlK
zY;$qzyKn?GSMICTQ1zN>p2;@I7Med{OMXW9?Kr@Tgb$AgoI>d0aLEwFaQO+ZUL}OJ
zoiEhY_I1s*onpRQ`PI}Sfcsrd1-3>}VcA5qse|zHB*1F~Ar>}LO58vQYcXG_tHoxM
zEr$DGCRekq;w{}uwm`M=ZMNg@gumS2*mI8iGIO15q62e!P0q!EKUjaCW@XB$3KM{mDPp!h$d4#YY@g4q0Skj#eW>5ly~tLmUi>xN@;k!$Cjvf3IOk-*g@hTW09pz0)qs5n-zWT#
zaQ{aE4-$-10VY9Ab!Ui~j}S(s4S1n0DxKXNmAFHX@4(hA$NleXs1hsU>`Z5Jok=P#4wG%~6ft
zSkKmCEb)@259_b!^A20_E@7Do=pf8l3pkK4ycaNM_93i16L1otqX;;W
z&{qbO3D>Lxe1h-};U9!k`vFP9w+Y`P+&TcbopAXe;A+CU^?(h8<2L|S5%xX{Fq81V
zgl#qg9w$6Wxb1AfR|w0`1*|0e;XJ_W1nUC8m4uNO0%C-#Hvz6Am=^=`gd;BjEG6uE
zDPTI`n9Bgi5$+{?m+-MG0GAQoCj6Zs)WoG%;i`)e#u_r&)DL{-Ml>fi-YKKn)!g`u7)J2CTH3a!VyxLSK;tR!^25f<%K_A;u
zCTzM1a5>?pp8-5cIPYe_MTEO=0ep*4xDC)xSoTFg2O)MBU=rcQ?*LvUh~?2~-^JA+
zA&gdhp)OjjZ*ElBiveLgszo#J+nRQ4k)qu%*siAu7kv+45f1!5;84N~gjWgw{s7=c
z!qNu;#}WQY_&ed&9{|2YIOQS0X@pTf1dJ!#O}K~9{Ubn@u=9@r(+Cd|9wvw-=rs@H
z>P|u!wfRC_)NXR6QsnVZIHcEDlBw4;ec1*@-${?4B|8$5KLK8VCb?H6@h*$&m#-F}MJ>_M3H1Yk$Pz|R012`hgNIEk?DF97=!
z-X#ow67UVeJp^HNC_IHLZUux=hcDDc9izE1mw@RDM(9Kh;%Jhv@`@y{vI&1C9Q9kk
zF@$}e1GEvIBs@*%e;#laVbTkLoe1|49w7YJ9{}GW9R6p(62i@d&l5(x2^dTGHsO1O
zYu*CfKsfL3fQty%jDUgW214&>K!NbB34r?uUz!NGgK)tlz$U^&+W{USe0qDpErfNG
z0UHRrAbf~9jqn=b4Z;~a1G)&;P6gaZ7>$U-=6FIsoH5O_2uH>NO9^-E3Amduy9Ka-
z@GRl?gnw%VTtYa1KfuQbE&Bu72z$>0>__-H;a7z9?SOL#{RaTfB21eD*po129$j?`E11u!GMfe-x
zg2Mq969#BM6L!NN(0)dPp?SwK0Gbiae-LOmH20(>jb=mhKmv`1()PBDSHkvoKCguB
z?LT=XY;Ujginceig;uyn2~Q9PmjliwJWhC$u>T6c0fegv*AhO8VAp1X@HN6W3A-H+
zh!b8X{FSiwWWbq(vrhwDNVswh;9A0112Bm&BEz2qlaMFeV*>6c+_DyM8=>3_SWmb;
z2ly)C>O9~&!gtRE{D5$O5%3`4cV)m!gfabqiG;O;GYO9penyxx0635^We~7CVc2@W
zD8kEx*9iA*06ajr_AJ1Sgxp3zk+9@!z;eR0a{zl1?mZXqUBVgX1G)(R#E~v@#D#z|
zVLf5niveQ@zaspGaK|Npy9t{v1zbk>#$|we2(vB+%q6^i1>jvm&&L71gk7%$Oefq!
zxSufNDnKjYV}#2HldlHsLRd%GK=>8mS;D15fGY_fx(0AK;c>!KgbV&1a53S4YXJ)g
zHxoWjcPEmbghxIJc%1Ofn*sL{cD@BLl~Dd1U_IgVTLGPfRi6i}
zCT#l!z!<``+W>nJj4uM#5_Y;Bup43dmjNpYqwWNZBRoTRj_|2_0iPvocnEMV;mscb
z{zmxRj{#pKJn;zNDZ)dK0v;s{{seFiVZX-!vk4m?2b@p1?+L(zgfo8zSV#EuF95d?
zhMojmPq^flfGY@Z{0i_6;Ya@s_zB@NPXlfx3_JtaNSOO;z(IsR6W%7={2Ra*2W+Cdz?>rG&9qli7k
zO2fAkM)$B~@`J>lT@ibeNuC0pr7YCk;l(~^9Gj2omORrAPoQSA@j6uuy&BCcXsUT7
zQn)wg1tlsp2J;7?PtqD`Z$XdX-o=nL`XfiK>R8rs40q1BGrwYIdoy1I+U6d>6|9qv
z;v+IL8PLysj_`3j^x4|CauR-Pua`W)V!akj&OCZ6l}iiq~O(j4EFL;in(lR!P6>c{iMX^QuZ#?aF3H+g@=X
z{P38i$wMLLia%_nH)yW!+KECM+X2RWIgc?jV&La1atPI0Gj
z@PS(q17ph==J@zWy1>}N(G`Wwo2i$t4~pCo^Zgw`s#JEwDZIORJAzr7bRI2R6Wq={
zbQozhpTh&M1B&^)xFtPM%opSj;eukmB!37W6!R7NLph;L=*lnvGhArUQ^FTz0#C2#
z0;QXb`;L4M&NJ{T>g~*DZO0?=>W;pf_S<9KIkuW&4J($fV&y6ptz54f)>vI3k>6xb
z(Qy4Ml;~@?lfM}CWE(36Z?-PDQ9xV{S@>XFHY+`Z;L$jGvATaXC}`dZGOU0kT^x)Hmuux*WAi8`KaXSzos-+mmpye@e+0VsEGTsT_$+dWrGY&!YeY+>i@E(QJq(k^-vhdRK^2oHj
zv|d^cSG4q~cw-z&UV=Rk7bV}qPen;S0VPMjuPAw2WJ=!J6eVL0C09P`q2xsTRFvcs
zP;zW7O8$Q#H@+XahwiVphqT-yEV`t|0t?fnBQ^HMPt`+w^1hQAzlluAr|YF;
zEvd2lZ5~QqjGu~722;-O@
zs4>^jtX#|06rP71#Sd1+g?BnFjE&6bP37Sw=bXsoY_FG`frE3rm#AU1g!6m2Zd8?H
zRMds4&%Go#E;0$0)k^}+QReyl$~fGrfE7{R&Azn^;%>?{9!W^Vv&mwDvU#@ePk;eNMrvLRXZJp
z6m@B*fdi=?ySUVoO&a4(8iEaLvVG>&Z7sCM*|)`E!*S{xCpbdc17o5UOYvB)I>Aci
IA8~R2FM$cJUjP6A

literal 1332244
zcmeEv37lL-nK-$VNw|^28SoL1^n_#*!W{@2ZiIxG1Qb~ud%EAG`_a=q^pVU&R8%~0
zpU29uBHpgIyR0s&!hcy;QPfq}^6zrw{
zsa9;Y;79nps9v0)pO%(8lgXDcz^xgMW1UXCq+Q&FMKhHHD}$94*kffVK4V>_F%hn7
zO+Yu5aKpMCbadOM*8!bc>sTl2)IpClTY&V@m(K5uRhCnlbD~ua;@{(e9i6d>M!8c1
z)ChGBSAI$eaT4IOj^eYmax{**atsW$5&%V4!vDv^|0lrz1sFzUH9>z3tzJ11uvjEF
zhzD9puSMQG^{WJIAfW{ZmL5_;8q=y2A;ub=db!w~E;Z`qDoRm6N6ZK8TtA`4GXSHD
z{itz)M2)4ull|gF)p|LclH`_(bXU5@OF#~rRU$-%c;RHR+MJ0CbS!5Dwn5Ltt7z4=
z)|!>YTiY{5WaE`EPKJ2gG)v*gNFspiQ0vxZ=sq$zy%8lA22tM?G{)^XgXGKuS}lv0
zffg2bHH(uKiC*#hc5qDys;!_HY@2RZfW0Skg%8FX&7f7C=+wX*KtW@CfDJw80RICHz%ODKYj0e?rP^_2Nf%t&Z
zRL7?W;0LfGVKV>=9H8j5P=N8vMO&{3F1ldr1=}}Y7HqrX+{-RGFM$6q*t+9_;7Z^<
z%H7F9u{AK+8LL%Wm9QL)O_PQfA|5*!9>ImgN}-qvX?X%-o`}u!ff>_YVpEyIi9*Z6
zU#EGPu&NwX>x7&YP&N2aY$NmbRBN?hEDSoWaJ*AnGXQgQ@T^OAUVQl#JA=(zuL_>E
zdHeRwTX$Y{7Ssfr0i~d<6i#(wvQ`Byfpj#B_4YJcjV%{!Kks6wzxmutF1uvsRRPGw
zg_rEydclqz!G)J^4>kweHgDf~$$3{?ws||q!1isI@3>$j2zCH}K|%(cBm_;>1Uf5V
znTqK8aGUW*Irc=3ZUTXLg})pv)5_5+t^#Fm0l#bIpiTck6F(`paS9Ch8
zhs|Ow*oJyr3NEXb!g?zlDApP`J>mxpCdPJ$v?y
z?5cN08qHnn0185AtviSEwoo}duFe@kGlHaZ*(q@07MXcCm4mk%f=dmKKVJ+~7R5s*
zf^k(aR}upRKWeb@cG=_PJ|=fj^78K%x4=n)Wlg;4T;{)?C;Zm}arx2k*?hU-nRtV(&Pb+%
z8LbCM{eEy<7s8sZBr%UK#rA`R8Ezex@&>kVU2tqCgN3q
zfgMQDFV;bgiNh$3FqWajOo#i60EUA3xrs>!k;N(9ZMn!=xYR-bnm_
zFDgI&K{pZ;KmN{-AOEC-Z{i1o@5hht=z8gaAGGs){19HGRzI**@Pm9&`SGA`Bqo0R
z!jB*G=V#}z$ixo@-;W;$>3ZpbAGGtl{4nVUI{FenGWs#B8;OY@PbCeU?bYcz_$GcZ
z_QYkJ*88TC9DGHiukT7%5!x?GBM^kevGN<;F}o3;QKLVudbIK
z7(+YH#Tan=rQ-^+wAHZ(973rYXHx1{l~p(E25Dl|YyDXD4jp_Gs~CKhRk)Vt!&yka
zsH6C6T`xVbiguohRm-Iv2OWJSTq!-;X6n>3ZpbCA9N=
zEJ=3Yv@9XTTum0yZz@YR=mukA$p~rSJpVsk2j8S6489*rw(5H6fhDwaPnOuLF9#ns
zvl9iYSsLO4fixq#tKps!?557d2l9`j#d@it?4;QCzVTFmS;lyH6u6BcDb|Pr2&;j1
z)$&Z`F|wr((FG9IqYsF|?bRp(Vke`aJK7QrK1-reAbzC+1aW*hTD-}g2MvXhP-qhVDtstG?eyPAy}m?$4l|p
zoq}|-efYUWI8NFaY$QEwd>%#hc~qO=Fk=ZTPnMO*Pp}2{r$`GDVI+3;S4@TwBU9fs
zIt65v_rVU-^#O-DOKMf{IEpo?ZgeZc#Yn5eT>Li&v7Pfp{W`1D#z
zHihoU!P^K2qd(Wckhl7TI7HJ>lN>sg8xuuX;6?AnAC{oJ!RdkEPrMv{38&!fw^VJ<
z+(atC5pW$oE`zug#_;H+*ci~G^gy|jC6|vE5uJgW5DW2m*~CXFBP{QXNdm74-GU>m
z=x)TF2xjz3{77XpiK&>}5w^ML!x`!>h*}Ww5R}Zpo(dfD1w{_u)_a$V4`wXvF>vs}4n9!9Pb|
zx&*}k+oTnYYakH|X>@F!UluPPgUK#zcNeQ=C~#?6icjxR9w>E$g^C_UjOirQGsuKu
z1lnNq7#X{IV3DF2MgVYfK`c}BJA0GpA;fhsdXQ9&9)>^Sgyr-eg*;7;Ll!3F=oMr_
z4gzg3It+kX1V|Ukz=)|
zIZAxT=;;Xse4r$QCIAMbbL}IL2fY*qeU80}I_U2HO1zj_nVERrTH@dT3ROu_z@HPX
zGU{yfGi=38Tle13ApVQe0rK$cq=V>N@JFcahjx;%6FwKxK+$ee;Wfdk
zdS?~<+pIKJty#5u6~ruuB?$Xw!!}iMCj4HE^m`
zpfnCf6AqH0&PXeuRh6`g
z9*}V7&Wo52;!FETWj@$vWnkWa!>#qs{WrXEO#q*OfA|sp-wpqJa4}i0MK@5wywFY<
zSp1m@}GW3@)<+EEe#ke#R#3a#-G7)}DeMhU}jrsMiEzi}bAUt@0)#S}Uv
zfmxrK>QfmqS5;LXaY5CmYa?^ZuVTGHv6SK~2XvywtFQ{vJ4sNyh!khIhHfQmnGTd0
z*v4ank_$c3Pl5xWA+VHjpyekiEkBNb=ynCn`APp{jq-E`zv$OlT~z!U<|QV=w-Mbw
z;s39NWx?9w6hzmS8jU7wNWj7{fb|1}-;ZH1Bw9aMIMUlZ)O0~4&jD;NVic?>#OO*`
z!QKLZ=Q67cAG+T{39>sttn7HTH1o>nP8cBB3yAJQ-r{yn^aDz%?-EcLOBxgsO(yiF
zMbRx8>Hzi!aqPp1Nw|tqZOQmAA`2rv0QODgdeb7YzLE$NnUeB~k)sM!w*uyz&`qj3Sd51xyKqsV-=%J?R!YSl(q
zdh^w|RvRI>%%F|Yeb9^WhOB{L=fSv53kicjF{OJNfuL17TBK3B=yx)b4l4F+3!0LO
zU16yzt5|d(RMu@jc2TkCKy?E}n2HICWK>L)XjM#Z?&Lr5G1Br
zw-E?h)uKiHP^~*GXiBQ}AxqUfs`U|oZJ-EKEkTitYKao9YKhWgtxT6y%U&5&3t{(7
zwZ4@C=A>F_4D71)1`8+sRZE?*u85vE##A{o^ZC0f-Ir5e>rG2N_M>B^v52)l2p
zbuy4a2Iiz%X$so+qpa@efL6MAVi4v`9iPB@OOqW&5UKvyiVawW(%OQMC3Ye2>
zr7^Ip))osV{Z&hywX%du*(CF|UmTC}Jis`Y6Lnv!aL(o!{#
zYJCP^8z{n5OHd@ETB1a&TB1~=S}CTRRV!T?R10DEO|^cK0_LPzX${P1;9%&KK!hX
z?{o{&()e5n3X&r_#LsGn7rS?Ofu(95f_}8UeGa9?~T43R=r}g@#a+xD2j5QiHV!p^Z9gUz0s&KSS
zj+!yC(GGe}JVFc{-jcv#a$o}4&t!`yTCj6ta%c?sj)LMO=Dukm&D7qLBw8au=4L#m
zJqe~kDlm0U2mxAf3#CkQZ|z9(YH{Rrwl#G_g<06tuYzY}WBq0eu??1m+1b|;2wFQ!
zi>!8bA+m(q1^Pur@_iO0B}?>fOVvDv;R68MKo4eV1wAr`L6m3>10$BQmHX7ytF2O+
zoSqzOt(%w|!u-#{fMiSKWE>Drxe;)Fbe1(GL3{SQ0+W>EmYqWz04+pObweWC4ZI8URt+)ib~vvg)aV
zIk0*)rA#7W`hgq?1ChZviAuU}7{&R-C&;pZNAD!TJIDk072|g@><~nb&*%crfu#^r
znxc(eNFVVPQX|NSgv<>_UvoG@{tDCqy~0=!%PoTFZd&y&2dE#TRe4~#h>l63LoUAr
zbA^&1I1>G~MtCPAW#@#5bYor-Xc)RbG{S9UU?Z*rnV+-~SAl%a?mJu|6VWqKRtKZY
zeMD9c;aUZaIYl~S(VajeeozW#6D&dW_nDsx(LK^{u~#Ti$zmkXRrw@k)bnsmA`~e4
zs?;Y#%{%<(DjMcbBMwm0NW9C{CtpJx-YYR}7q^+yG`C~BcrCcMn6(oxpMX5TJqB<(
zS!zwOx~D-_Yw$N_mUP_-AjjvgqtmBN)G1hELHP3n706I14WpF
z$%d^gLWhWZ@IedO(g^!U*1O$1y~|QH4_QCnGg;?d&1njsRDyopg0Me9
z=bbD%J2}RXA%EOEA>kS$7+X-|dDo=I_Lv3X3?UInI^0cI39V-(O3%(^
z0)+s?`QX5mgc!*#n9;Q$p=o;@$iza^+N7#EH0?aNh#A%(QeI^E--17kkblW+v6Jp@
z(0ULkn%w{)EKSb|q&{c1_PY6r%kuiss|W<`oIs1LbHbCf14
ze0Fr&9DVj{9H4gd*?Y=$Te&yB7;aue8dSX5Ss0eJ8($I_;VLZLx@?-#0P;ev}r$>&usyioaP{zH6BW_v|~Ti{t{9})Ej^E~k>5K@iTyKbJ_1yCnu^q;mKhSJUwJHg8AACKK!yG>`vjvDNe%D@CLX|t
zS3ot+2fCt@vrcS051zcn<@Y)OfW!k!QT1!Id^Scz{hgD&~1W2(^g5
zf*21*|I85QDynLR=6deqQTz!DzL>BeyWTI@7yL`Mhmdu9q%W836p
zOa1#0BOxZxO0(KeE|ta`Hgi#Eh9s+Xo#xTzm*Wj0(MwY?tlm0?$UaZe8H|4AKsz?$
zBJCV!-0zX9b_Oq}3?^X;T$hyJ1Vsp=4;^r3^g&S7gV784CYr`!1^1Q|tGE;_xX7-g
z=ba|)`UOYCtbh^#*;r3iC-<{*k!C
zY`c;rMNxZB8R3YcOmiO5okR_?wzo}|ut&jXyurJ1ORpC<61G4ZJcpJcq?9fk~2
zg-RGF&wi~%KXENLPQuAt3rj-CLIs3kS#qQ%%kcHD)QfEL
z^JPb;{8z}AQ>=F;IcPS8T51X9i(Uxi0P(mU|47N6%(EoCJ{L`k7Ua>jg8=K^y!%po
z45eh|kuo;4nfPd0A^kKNFIS$UkPwTX>+8reh_;u=M91{~vE(G;iSvLLlanV7!imVf
ziHhtSg#fxHTAB-SkTe4{B9V+I;A34(M4o_{C$jPZDl6~vm6hnd*n+$_CJc(g&p*m%
zx0poyQI0*4sXM7meY97Zg15)?GWCDYj}_pNnmK&)3>fk06c;OR<69eje{(GQC+N$x
zvKG&dMgNR7!8e4L#|VaCdi0NvW$-t8)+B;}SvGirOqRmle7Ae!Gng+lI@W;)nn%Ym
zw;gWL!r41@+S1!ktUm0-uGV|9BN~XQZPWT{CF+pfoHz!fO6yPMy
z8edg+Ef-dTtg!zlC0wdkU8p=*`Hix4;rp>a2Hrd@+WNnj%7*Od#_9=9p7lz0qYu@P
zkyArkrcz@0a?|?4Wq&%MM>K%IvRlFjs9Yu3sSgtAY82F0iIxcX?oNG}7v9
ze4prO(!e>t^g11UQ+{a%-!H%PCS5N*$McQ-$LKOVDzf_NXL=~mtc;MLjoy_WmE
zZr?wpTLNh&<05Tzv_D|kb!$GsDYG^IYfxT?t@+eL^js0yhWui>A&)rVT!0($RPxDg
z@NbxXux`i~&SN_SMR@a8*fnaeA$ci0aSD%`L8z(Nes^ym^dY(qkOZza@Q?F00w%xp
zeha!UwvAA*#*hUHX7|(WyRBaFb2lOr$5i_-i#srw$IrbO(GskNR_0ChONGHA`2pde
zg@ie5E8+{Z4f6CcsUcVmuS+*D!)`O2Xu#99Bao1H5;Oc3YwQeC&2u1`Kj!{RzX$;!
z)7={_gOvARuZ6l~4|XdKodpu#LI7w3AZU?hKUq!FgDIJS1l)G>uPUCmTku4TSjvMB
zTB_#QmySM!B#?4psU%^$(t;$J2nSK3jc^d9r}icZf?{!x0Kgg`4ze}qJ~^O$!@c#_
zTgZ)^VSDSSCh0Bgv_`Qg;}<$WWqa$~CS>=7`7W=tb;~xYBW{X?)@rt^KLt2ohW~mA
zbxqw}kI0TS)}TAqzrjyr$C`Xf?^si}oo!n8xaoRtd^&gNaCh6wZyy$u2;Ju97C8&B
ztJ@x5H@iEtd?p=D21kPkDu$K9Vc7wQu#CPh4GvtP>V`Tsn3o32McaKx$7E%2NS18e
z{OXE?VIfn-F=8mXOSlp6RDKM?~@K6Nqh5k(mK
z>ea0z98G5`
z%~M-6V*XNV(U>ZIq0lN~j9)DV)T=R0ND{>eENhGpOmUW20(F;0TP3wkGmwDcwnY9(
z9oJs~D(S_SaiivKq=EBB&4+dHO&c`~zTZa8Kj?btVWWn2-rX1HJ1=ab=1rPzW$VhT
zvyB?91kC>A`C7oT>*Sf>l$ks`(5_#TC*r^-Pb&Rn^4tSIcbz=t$jRaJv>P>4(#7&!
z-l_3uAv7ZTHR3ZE{gR=jw|p{(>Edi?Ul}<<#0L^0&iY=>;{CJcB1I3rSF-@Bf>Xe_
zZQZNcl31;-n>8tRd+yfAMv!gS$Ug}wAohOHGEjMQ;%C5s%zn)g1b}wGh8Fc_zh=D!
zPuvw?`!#DVRrBoEYyjBZNy7GP1W7XcHKIhjUn5FSllN;pgh8-2?iB(U1;oN{$L25#
z!I3v?#|D+famQvq2dHevhFb=1$GT5!hzg5_SbpD
zhb^7|fKKTQ@MHW$W&rZ3%M1`vgq6Mu(VxRnZk$AH(|B{HsM#p-0
zZHO&jncDJ!7gvjXM~lN}UZqRbguxFZa|WZ|G9I}x7^BR8En1K$^CNrS3oFIPb%`>U
z2RRe3)Q6fYmDG6i1jV@GJ4?!7ZP7Y%T{z6RbRN(mi7$TQ1adP0dg36Qi1CvSAYyzd
z{_%=(m|MY+^hS}9CtxHu6P70+=84oCPo-w1uhc}xVhb9B&W()1&p*mIY$g$Zlw(h1
zY6F$2^}Wgz#-M9u>i=TU=ROAgoD>&lGY0)4=qr5|B74?kS<`7&XQE56CM+;81|2a3
z)6*peJ&nI{3x@dZ%(7t&x+I0YZj79KKKQ8@ve25KP^uMMEoCJ`9c9^pg7EY7u83Sb
zB125=ig1Lv6Ke`7IYNe0z%-po!1*^s!1-c|G+&JKuR`I;3Ve4;PP#92*r812>p;tK+*xwabPr32nax
zQ0=;hl^~Yc!%R`G#4sL`9G3^>vJ0|8MQWU-j`o%BS^
z_ClzT)~G`C9)Q7im?o#!65Q3OP&}@~E0vG(8CP@wG>w-u!*P!T^;h;Co?WlIo?YFt^b#A_nQ=
z@Q>Ga!akeF3EdMS&i=iLvw=2g-H|09g^?vAIupq_#3u1ep_TdG1o6hmDLlC^u@!tX
zo`(ph{DAwDl-C9IQiOFDeWnF(`5akQHXISV4zYy*(H^hUBE?pLtpO{fUWX8gcmRkd
z>(00ZOT>j8td}fRWuxPnpeL#TY%@XF;kqD5=5Sq5~m?7J3<*YJt8YG+AG}
zdj~*2ut0;+Gc3eII=_UD!sm}kw)XX;ftCEvT5hOGIOmz=UAP&
z)(P>W&mtcP73RjZjt{~KM9d#3W~zgR>dw+TCTM0H?GFLkeQ~s@4@Z(a{uYVI4vi^U
z$c+9sNTF_r#{`?xJU@M2%F7nxg6GcetmiTL8~)H{3_uz~QkLhwH%1pk_}mS9u(x1^uqYqws$^MZ}RPVhmQ1r2JAQW0;F
z;iF!VWwTR*e4Fq%7dWb$){}F3_#Ix{fxthSgOilPt6czMyw<6f1DebYPIPxeo=#+6
z(5_B|BLj5J6n#(b|ID8IC(yuL|louzDhgb
z(kzG$@eP`#fkTQ?uRGP3J7CDx2A4rqz>b+b>)PNXGC>A~-Q;dOE(=Zuo#{X>+ZN3s
z51KT!W_r!uV6xGwk_(;ad#4r&4wGitG6dNx{yo@?WKE892wNsRj{wmw6KIijnQ*9P
zpj^DQWkQ09t2AvH1>(w<5xXr_^DHBt53tPyW6KCZu*@<-lxUX`qVy27#wh_1B#CvU
zpoZ95o~MioNtO-QScrvmWy=N>aK~lCC8Vl7zkx^(%r>{gcQI1J{J(WTl4;?Gp{j=#
zo=9J{0PW-ZE@X~F4=8Tf||
z$TFV(04d>aS*1sdG*$`M7UXHC)DG&y7JOu@5xoW~>-INkg4!El$|BWyE_c?Uli_&K
zf(N?RxZeMzy&hLwq@NeFjb-}U#PA@AAX$<%(K(JE@Q^bY^N?dJw?
zUv-T&b0D{D7=$TFVQ*gBz45B^so&W>{F0PI;HBOd9ii>J`fqe*Hw9Z>N+A^Loe8pk
z2al&u)v6O~f@$*aUh;3V(pbOgq>=UTusZyOKik%mkjyo~u4Zv}wLP6DK=ZRH8B)&-
zWgf@@nx7J_;?ivTsDi?&aLjZTQtD@mEtPJ?!VZ#cpl^yn=v*-K4cUYM(KirGDg<*e
zmkbtU#lEWj|GT+=hp7HZh#d3}&9vLGv@BR09jlG0Q{V$msI%PmWOQEBi9&>(GA
zj7PA))ilsZX~d3Te?_XRxGzK%)1aOF4hD;UQIS355Km+e&@}Kx7A=7eS@Am}OTMVc
zuGaKzr0fZr2ENFm!O|fsen(`<7ZuraHGLbAJx9~P6WOKQt`daPF~?X)3J_!RMaB3z
z8U&0OUr8D`#~fF5@J%tt489U`yZ~kmJ_zzz9m8&2A3a1I)2_SE-l?z%olY(yQ=5(x
z^Gjj~_)#6fYjqPG1vM}JG!x1!x_n-Q4;VnA&CN41e3K!;|l#BpAsw4QIu7@6Y
zKs(OGgC)$b&~jm0G6wjlj^Wd~F_^gU2|q4;RR`b11qNT?!osbMddQW5eo;s916?mY
zaDsN8ixVqk$436yznHcjMKgKLMR5Kx(7{lQEG3H6SUV2~*?c9?w
z_UbHpOY4jE8ohN)*NYK!>o#5l;qle-O!Ob%-*k=CN>EB4sYD-#b`FtR((~&i4G;CR
z)yoiw0$^EGLtF&XA@BPuXLK%?A+{p`=BH~fL+sSZ
zpWkJOZ5jyj1f_CNIU0N}H1)p>aUQgyffvY~u9qR^XzfPi0r_M(H6#H;lTeRceK;RK
z5)qPuo_5i-6ubB^-e@K}?ju34nForMK|kscDn^&pB*d)PhD7^g9en5+4(N-J8fF*l
z=@-ch6D5c<15mB%1cs);&tfe(XZ;D&9Zlo72ctb~_&fr-`_h~r5zHk&6Xs~*rtF~_
zUSU%)P$Iobl=TN4Ja)K$6B11rB50+#QW5P`lXnY$Vb@Ux2L-4-kn7Zyx)m!+y~`+Vmk#3BrP@
z1VJ*vRH8&1OeIR6y3>jGf=aPt15kSGL!QpM`yW*42cx%JNQ%^d2!tDezlBsai~7m9
zI}#Myoyl5QAdxM@MBKL*>$}KxBPQR)TBE)zm|9z$s?z7#Q=x>`-IU*0@HVrO$@VV^
z5Up&}BCBjKA|vI}&AtiF5iJ}z%x->|d@r$7mE}A73Lx(u_7klD*k+koosaG
z75EV0lRCVW7MvyZb)_kdh+@`F8y|JDd#CFyRrApF)Lb;BH*`SyGKS<*3(gsu>VQyc
zLy6WJiP9mXY6@P*=6YZr5Tc*$dBCE>zP1PVF`aGCba&fh+Z>&?u*a-s%=UB$5UuT@
zMg6cnud!e%3DTchs^-y?*8yxZQJC#vBbRMYbUZX>wjg7C-eW;p8lNjs?Z)S$?w#IY
zshWqVcLMC5iMjOI9s2+-K~%9wBu0=-e#F#*5@GtL~DI$Q9rEDK~Hk_eD=3g&7&xX0Bkc+nDt>J
zceXwS3(}IJxDwTFea>+2^i)gLJVf1?ho~m&v(18ZhNwF0Bg9*4eMD&&>%)}OYJIp8
zLrxWM>+_&Ri*cA9)@MB&G6rnH6|7wwoLekiyQ|sgKn`QLrV3ZKrpXQ!-iT~Xw;=to
zZfjuy0O5W<`79_v7BVleaK@}-%vii|mHSt|PCvU@FPbYb{mt=*SGfHWP&z
z9zm4MN;
z%;`jqEfqnA5vHFEf678aPZ?gnO_52L~2GHl3ayak$yXGV_cH@}UHX
zR*-2?KLmM=1yf0ohb>j}2=WNPHWP&jvLH%EkVT1BkVWZA2X-gY>{1&<8ln4%^g$M4
zdW!T07CeAn#^zEftc6XQn*mHSFH(&&Jq$~2@QRoNwh9&B1x1L@QMMp&<|GsE=Mf+v
z-dcW%(p9d*5h%vaO@MRQk00l*u?#-LIpcPJ^eeiJf1AUu8@rf`$6=OJSDu^cItskDbWxxF(1P%T}btzPmbgj!IlxY}(^otNwqDz095F0WZ-Fz{G$T`Z3^jI`}3AF!(A1y4$6<>fral0NQOX
z1}v963LPI7k#f!o_D$u+$8@7HapMj@ZrrPbZ{h}nuW(}#@tMRp=r?s7U(@x|16OGG
zxwwKiM~G{uV~J%8_P=$*FtOu5{n+t{4!(&U48Fn+YpndzBQC64+6qD!{bS4ene83mXTj9LY|U>L`44;
zQpF`ge*NY$grow^`Vflc;uHLUPDX+x}>yU~yfP|_bPBb!}tjbZY#=-#9C@eGc
zssu4RET-RXp_07wSA)9Ag$1M^+xdGl0ixa5rbYIRZF_*{M=Y2kJ}kiVZ!A^ijcwlm
z=8qu}egRRNucS{}WQoEyw%N#?!yLY3L0TH0D^cx7xZiW{^gEWSGEt+?LuHSs*&jgl
zUWppdUlVXI0zV4tNOt3XYr%R}sJi4RyXj$~y3kTJ4^@`|?Af8}Q!H4|3RTy;ce>V6
zH4jxcs9WZUTLYChqhPepsg{2^*RgEJrLDyTwm3{k=F%AB1Gk4$?O
zD@xaUdzr#k#r|z!rGh=nE0yjGRTw78dHY6(37kdn{W+;>zBzR&9MQ<}PUnZ?@X$dU
zPYpZtr6zgNW^%4A2R}czu+cm*GspVB2oSAfO^fV~wcSiDe6q8*GS5;qk3ua5*k+G52|jZ9Aj
z+^s%{H}>Es-ltj!>M7ov*#RSYVlTKJ-eaaWy|;yD{I4ORNDM&PisL$>1q#!
z61<6hT7fme-u$e|ODx3ov?gcPJG!ZIcePc*7kH-qtcdZ%{SOw*&8os|$D;&@)^^Y$
ztL>0p$^bChYu|?rIy;01TdL-f^}_+SnJCPD2%=7lge`~RrAPw31FK^!sK3%BqR5t
zL@W2Ablpx*{tJ4=-c3RNv0p#=zraFfPx-&Nq%-#DIF46K@E!!D2U2c7dAX2=ScW%R
zhGFJ5Q-E6t5Um2xBC7&8nEu->m`W<}K}*#j}sKa9b+e{Ru4uU8dbr2<5br7Y)?tD*#-=h(TI`-u!>fg7JHY4iBU1fej
z=VphEWp+Ua<3k)T=)8#TLI1s!)(LzIyiF3_BmEXH-d?P>LJ_mhzY3xfhh+1R-4SOY
zEayN~TL_DkEAIjtfptN%2_YzO#cU_NC4(>jt|w6`?0czEZ^Nr!Ey&FXJ1x75HF)K>
zR4F#$`K7SQZ=Btd$;uZgVJOR`&ba@j{HBijDu+=sBXFgqs=Ly~3&N?=45`mv@Qbbn
z;7(e%onV2hso?$_Zcaxah|<$~B(k7R+$#joI>f?H>n^v@7PXG)2MV8;ewY=MU0~zU
zV*CP|xzWq%wL2cKCv-vc*dPf`F+4Vi<@7nfH^ac_V}s;V<~cud$BsSc*Yo|lQ%l8K
zi9EJF3a3!+ckEUh@7O6oyWX>lubYbtW+`0AI~<=+<@T)nGyfqzoP~!f%?dP+n|vv6
zf29JqEU90G_7IEu(Ucmf;ejrf^ZrIa*k`m;FX+u@l&Ku^0=TjmTr-n?>ylrsVj;iD
z0HROhSdbghZ0Ep^57Y5(L#uB^b|LW(j@6lA
zPN*K8fDD)$!~7(zKz6sx36>eld>~-mKg)atQjb|?N)KYj4o1?rT*x^6!YZWYLJM3E
zi;xBeVtj~6z$2Yvu&cT|gr{N~aOwvO8|ik2Fw{M_7upz=5ZA$|$WV4R+xtlC2z{TM
z(DzPh!O9o0)`hKC&iLKXSy}^Sg~BxkTi~`3uOX%xUG8W|6Z1C8S~*3w$K{Ki#pbTC
zjXAKIC3cyIn3(k0M`C<%^+&%6_7h|LrTti}WDD*+NUYtsp6}l2W=qvPw7oC~ZH>nDPb^6HKvcVNt+{tvwN%YR
z)Orr0nvLs?7OZE5s<*gz`g%*%JXC!{4yqdOSNxR)=?qc9@5&sfQLEc+%U_fps&gcT
zgBWXzVZngy{Wj}wv`lk2D7IOTjx?EP);FxE?~pt!$sAUz!Z8+{
zU*YY83dCyD?}8F$>m#&DW#HB(5y{z
zg^F%>7%>YKz1&h&UcOn*tR^9tg;eK}qB{Y$>}ej0-|t!g|KQ8+=vA;Yt4j$I-L{QH
z>4qNYD?}mgr8OuM_AV=v(KjLP)Wu{pYIsS??c$qGC~uDL)F}>7nLEXm%FCVN7FdYC
z#+}*)IK&2b3d^ZGbqjtXflcJo?6^}WOIus+-c-TjP4T>fux+<^YkQ`Mv(=R#2$_c?
z456ALtWRVqY-xO{*Lv@uWT=AjFNi@uVbT61QiCoWI}K
zkxI~y?#7YKjU#o4aHNvKboHYW6f=I*y8-3?`B7g3XxxvY#31wOdl`qVe$+7+!Mr5N
zU$Cdzu7D#{rYUH-INGWS361WJM$`2eYEcN~@7c*a2GH$er$#N!;0Wjpi%Qo@~y%j=y9cnzr7
zY!;`9(rJ7_aEz2{DsE?3aP#osZUo;<_TbcRWmoPyKxeHhcZvlYv{@Apn3L@FxRZnw
z^ZJBGB;v-PTaf-25X$83jtk|lZ55eNvh!|;v|tzv*RS4L(}_=Za9CG
z+IFj_RH|X7tckE)X_SX&;U^S2fhY4UG<3LdPQR^G3|
zTuz%#8i6;g;K>j2m%nkaCV&L{aPB2PZMAy!wR<3pvBjgxzrpwN;uU1zblf7zj{2jj
zc`pP0b$7^QqsJnkD_;l6f3av4x97wOOOcaqX-SWG9h8<3KKW-0)bY=Vkx*wxo$Fm3
z(u5Y#%?K>(BVI8p%qJr(s3G$Uu_tPRm6xoN-@y*kFDe;60GOv|GGn~_do&F+(h{+F
z`FE1)DP&O_bjXU|5n1v@MfM&|-$rCVu4&+j?ELza237tmAc`MVH2+o8s}ap_Y8rT>
z$!1`M{qyVeSAynr3e8_>dNrc?fTn>bntgd_YG9?O%q}JkoSzXnQU~Akj0l6TJ|oio
zp{Wye@OyYhgm&9~?oVA^(W&B6KL0SIqDYT5S>)4n12Mhla+V(>w&>uS7{TBxj937(
zDj6Lp0r{*d>(#nGdSC|aIu|n*Qx`zT3S$Q@`koGZ6A%8?
zj|cy)gKy#igRk(w@XFL9I`}16OGGxwx{FF9X?3p}Z?QfAwlU+u=ubvb$I}2otf+r_4~?g2i+V%6s8o)t;`@
z^<+{)+LI?;?A6&lTzwvXlKn
z7#8kBSU3HTI*;rH1VxNvsDaGgj
z{l-9lui-Y&F`t8T%8E(t!ksr%;bI2)n~RB!Zy!!8zXmFh#+q$-w1Wp4P_Rf
z@DTz8SKmQ8u$vZXHq0aW_A8GfXNYQp*uP}K6xqct7Jk7}HOF>)^kpQ1bjdeM6c#YS
zMlKK2cn|Hz7Nn)|xf0cW5A7lMP9L;Xm5Cbt5Gs3I^8FoD@0F$@Mv@k{e32spmxLdT%o*Cc)UhElio%vpi*X
zcfMelObY6s&QKQp#|v-QFYUTFdEuvL6o|gcG(R2P788dm=>^S
zziHvQ4&?Bd7S60s1qJ?O5JaSmg-zv&4+sG$VKltk!oYa4chFPKPLtWt{a_(6bSnrD
zt@WoxR_njO{I1PYEm%t8w$f5Hk2ryze}A-$)9TudH=q)9T!
z<|wC0`jJSpa2B-#N;-?zFut<}qYFw(m1IX#2eGje|?J&mV
zoNo~#vk)-Ncsc>1)eKtH56!sBf~lk#S6Zs((TuABwwWkQGXzmGnjuQGnjuOz<&%U&
zJ#qp99YLJ@bYzo-1)e%`weorzCydj(Sw@vvKO(LN%j=EkP54j{EJHx1;cYcRN^(!-
z&n!bTO9xY#R}&ywm7zubP?>jIFqKs1otCP3ROY<^+e{RuGJ+@>l@TRcl@X;|`z#rP
z@o~Q)gHj>ZeoFN!3zIyRY6GTcfCrd3(KPR^rIkl_L~VI-?cXd&n-H0_@vdZkRIF0iv~rw8&}=tq-gYS@4u>;Zc^Vd2Hb^0NYFw
zW(x&LGPY2ZXmvr9p4ShV5WJ520uFQs@$=K2{VeS8)SYv|>aCaGVjU}%uHDsabn0cW
zgb;`WFK>@SG7(ID)0%Fz!->=eO_wz&g5{dBkbDuuBZ{)qG7Pg+Fgv)70MRN6EwU<#
z!y2?|!BkR}aZA-as&XyBHWP)ZiXcixRYZwaRYd8A9z;MeH}0i1C<6BGrwCgt#P(E#
zvr38@q~0GkssI)A)Go~Yl8}G=C3kqgWP7?h6ELHOe
z{vv>FCJGaLL6nT(ixREii&EKeyRu&}S26pptw9B_cRv;Qu|&Jno8m6%5@3M(6LKDPFcs
z2lO69&=`xtQk$-bKF
z9i)UMI$z@55o~1xDP7pb75ayG-x^B@EbQ7uu#Fh&S6gt-Vb{8&;AHG>vS0?9Ktfqx
zZm-8vz97}TM8s@YSYAAS1H>!k3%^_=gg}$>g+!zq^5S7RP5JT(7#L0YLO#uI%9oR8
zHRX$do+IVUlzO{MfK*bx?1hkJ$nC-szts0WK9awD8#w7^BIV>S-w>_l^vakZY}e#3
zQVn{xz>~iu1*$#zPcf2SlfNXih<=Q~vdLdY<>W83AO>v9_>g(~?I*GTCFx$&hf|Z^
z!Dj1jJN+KUkiPO|%mwm@rh$A%ER}oWx1@TX(!d-(?1}6lng+heA_wV2s9c6!D1JxE
zk}s;LjcEEdQg*ebfhV#&hE){;{wpAw%~^AyrdK1H=V}^wqv@Tq=DC_)jc7hc)4&_e
zy&A^PuhU-%HTR|#r@J-18qsWO8hE1Fm()71(coc3{8glZ^KJb%>)@L%pfmW&ZT)%O
zQ|o*{2fv3~`n22bj+ujb%a>Z`Q@Vke?$7^&A0xh^gKuI4gRd~cl3M5cx;}bf2JJc*
zGkQ&}^RR9RCN@0i$A-nLHB*_14Gg{y8xGU;(E}T3*SXk`C$-L6-7rk77$yyzP19LA
z_$F2`_zEkmsdX;V_0j_~Xy>_@(L-vTF&*|M9z55N2a`JZCLS>O3J(mabzZ20-vjk&
zx4Ed_htxW6(2d5#jhp?r@opV_6E_%qg&Pj3b?(sh(*sv%_qn*zdup98>IPvV*5@cQ
zl+^^!rNeds`B!yC@vpj`Ol+q;dD6vRou$^%u7u}0wNA3o@0#5{!84Ou=gY7kN?y|laL8I`4@Q`V%xXcDXr~2H>NYLNX3%$9klVtvfIa(7
z3$M2D&~sXt!;EWBvoO+Z=-8s*ECNJp{b`Za`dc!t?X+Mi>F_fxRr9FRl>pmJ5N7!W
zK{7HgO0+UBN*!`g>6gcz4MEzmPd{lt!$M+jX`i!L9c-*S(}&ZV1wjefmlJS1ly=l=jC*e!&w)%-*V*?@SR^5+GVdphbBV;VcW5
zk|La8shUR-HUVriL6{;4f@BmylxP(}l;%hcm?%XKAfOd1=+Xx1zVQE
znB{;eMuPy+Dh4gGDuzRDhgVuKm6YRUma2J_<5d9LOcbUZf+!i~5G7jW5T(86226CL
zcNm}=h>4$S)GUPeRE>R_U+@!_v6zK`X~x|Ih*mRbQ9m@}8x~9@&G@RNY97t_7l3Uh
z3eyZhl#FJG60K&4(wu1l6ZOam2y_H-^3##KEG+QUk;hYh!Ts0u!OL1kfM`{Q7WG4A
zjGJ+@>l@TRcl@X==&H|X|P`@FAQX$rUO10R+Bu}N9oBV=T
zS&%kM2Ag57AV5G}wEP#PUWoz|=6W>)&S8IkoZD_8f+y!5NBIR`Y8jamdtb!an+?LG
zMOJHQ%`bSX1y9Kq-eRem#}?iOu+1c4?t>sn#ukbatuBbtz9a-pbfhofKz9&7Ki#?B
z!VXW}*;n}mzib(XSt^(v{2~FObsK1rRZ$$)pg*!;Dyho-ma2JF<;MWqOcbUnf+!hP
z5hYqx5v6jXDc2N}iDvZD8WaJ0_fv#_v=G}<5#}_%;L+>*;4~jafM}(k7WG5=H&`&0
zq<@{IY98r71zWARJ$bzXP_}5#i<`MiC18g%Vvj0zZ|{&{}E^$ro9ELR=gAahJaHbko0-;sCBFLYUdyuY{Yi?4G
zI*|krE+9JR7c|vP1j7yVVD!zDBor&hykMqK3E)+WmGJ-Z@c#+$f8m-L;4rzY@ihl>
zFrFbf`ph%W{DKcUAj^37OQeK5@46-n#Oux)O9*zeYZJjXl3#GyNoFr4hh6KAf|IdZ
zWWkJ!$b5S}o?j5D?j<5-yTbAd@@ueO`33n6V<7~Z{DS0Ko*};=mec%#X9EprenIl7
z-}wb^*>69{l?MM^1KN6Td|tWQY8UIJaC9te?+L^D=!VhVVY6K=g{{JHP)L$tmKx1)
zq}-S&R_iP=W-t-9D~d_MTCzNd?Pb~O5m|LGIAjB_PS7}Uy>sk}VHarxt
zVV$t?>&lH%Yu(7mIzjMt$QSsT@MUs(BUWfP@ulC!cpz$xWVvT%OE#0=KtfDPOEr((
zB2uhL5hfJ?McFr%b~TOK8}n^dGz~OljSdES17*vkx{B`t5DE>p;%C5>d{!~NQPZ&z
z(;GAmteAE;RXpPs%Q}&WOjLr7X#T}n&pNS^rTjE0P}c+$3CfuS6qmse`j>#>14wzA
zfPxW+Bs$oNbaF`tvFf6*4VQMPb%Y01iFFJ%1XR@mZX`t>XXpAtqM|zym%-?x3?)A4
zsHQ`f7CKK3Js#`>A?6(kG4F&#+1$2*H$s9St%7iEmiZ-_8mEB8y$Zb%+cT`z&tds
zkjfnVF$>Z?5Y=v6KkMGMUPSFB@HD%QF2`3scO_3p=(ti2%{M$+V~+Zt^oMm`XZ%k)>)L^|%aR
zn~B2QWHxeVH+js0v@||fqS`Ha)4kJ%rD`6cwsR2GY{_3`!FpDx`X={IZ?#m-L)Ev;
z8ddMGU_C2T{j__hpR`oXL)FjZp{j$M{9Oy~J
zQFU%I72VDvTz+A#(r?fT4M&(N1oI3UXy{r5--%Q=h0XeoMIvvxwg
zriM~*h@AU;!-7u^d&fI;nn=E4!2@)kETg|_8gfgy+m%V`kH(o^Bn*Z}-PKJ`0@g~qO&HD0aNM)y?PmC;E&TPxLk
zVpi50gCjJcbHu8=ft{FZpcZz85bDuxPLEc17n^H>a#(8@;h{|OcY4#-Mm=O-_OdTi
z6VNAI$3SeJTzpBhT14y4fUpL0KoT6zU
zM=S7P6&8iFo>W)Iv6zaxW&m;tV9vj)C~wnXU_|*cO#@GqmrI(-SfjpPL(55#Kzus2
z;akz*VMM%4i8l-ZO+3mXp0|m20-sdE?AF0Iy~D%cD~}dgpYgg;*Gmsi7SYbTPg4$p
zM7csuWOuHJG+b1i(hpX?MK>PPn?i5&!O01*C!V!k;N(9ZMn!=xX$
z#FY4v(U0%wMq=W}zxeUvCp!2helYlc{CG&$OAq{@o#*05?+6LH<4-uX`n7L
z`OBOvjEjF&mGBr{PbQ|*o;>MdugC^L8~)Xsuf$Uks#Pv34>M8q*@LO!>ic+!vSd8
zu2fq=V=M|wZIC(;#<4Kyw8C=GZUm)fSZs$uu?*j!eM%lvcQ8^rWX!UqeiedA&L?iL
zkX=4pxD4uQ?_^w0fWUrH_D%*Z(j1tmcQOVO+GVKCHP2W_9n~$CQAr23ueVf{4`_Vv
zZ@d8sCf(o25|9O^2?AzO{$>))uF#Ejr_*G@S1wbEk#vKnto9o&J(#3}%sJ0i>TNK(sndi>x{=9hd?b?dj+b
zEtpDr`U6W{FO|&J^JY0z|6_
zw5T77u-<~HqzG#*Rr4sq27qlQ3R46@l#C*X60IVL(sS&JU=)c&JMuyTl|iihROT=X
z6M9k^c(sLukT^~gdwWtD%PCUDGBC4rFqJ72AX=57Mg35j7g#WrRA#TGY95t&5x_PR
zg{h1nN=9WwiB@Gqse_;!MZ!yEjF3QO5Gy~GDO#A|sWQ*R^EX*xwp8oYiOxhY73?n7
zI%G|TE2gnVhhE1SYfP!r3)|J0g7;CcUVn{#nz5epeZ(>caXtjnG^+RipuwW`_&0&_Rd9>yzfbFC;
zf+!iS5hYr!5v7~+ON6X7`NeB6Lfrhc=FvWD4IW=BTEpg=Y0tT4+BnzPPRuX22$)$w
z*j#fd0ix9!TGS7%DO)g=w5DjOnn!EK0k)YaY_1VR$!Luz(Q1t-71KlS5+Q3%e(@TN
z5H~-qx!A%A-?;`O4iv3n#-Jw}b)9Q$aSd;_jLIw^Olxi>K(tyzi~6B8AGTmBY0d4H
zs(G~L4uEYY3ey@vl#JGh60O#VQZd)`E)lZUgC0C0eZ!
zrDCq>T_R+y$uC}m5#r{jHTPRs;jcCNxuz!?b)9Q$F+!(-5SR|JowQ~H0ix9!TGS7%
zxzvKGq%{{?s^-y}Edbk06gJlgqGYs2lxVd^l#02gcZra-hRrp-1B2ZF#LZ7@)>&BL
zsWoTPn^dqZRxLsP$F*yNOT+14Por55;D%KP@3FRmaYzfvw#pz1VU*lp)gQ@FXyQnQ
zeHBzAXOl0rjKC}mY+iX00ix9qT4dFbg*al4DgC12d8-9aNk49}RL!Fww*hQ3Ntk{J
zl4SHllxX!slop&>F9;R8w*hI#p8TZ!dJADQ(r!H7=l9iH4yT>$Ix_|uIo@y`B~|a@fCFEYgeQrp
z9IiCE;Ur>|8x%;_&r{N6OG7*u{kH>&nH(UA`z!~Z*V^|#%j{U7DlmB%fT|wyuz=_D
z)!0n1u%uY9ikR?~7F=@JJKCL-!8^u+1yF=sXdkrK;}_bIa$amU+Z%SFokvl6U1;ag
ztAdf53+*2OlM@>*v|~BF(0&CBj9zFbpJwMm``P2wdU=!_w-w<+IPnuaUST*XiB{93
z``5wFai#re5z(wenV2~FwS~j<-P8P^`a)G@>c9Yb?o+Lk%hmEoK!~U2=4yGCGBY&Z
ze1&|CcYcB1!|(cl4!{1&BG{90MAzex$ZhpmPx?P-;CJ^B_5{~V2zv;)_b-I~W`KtF
z>Pw*Rlqw|tdKcq4#9zN6liIx?&FRAzg6aiDh#cmL{bACE**t_W!Zt<~a;+3m>>e$I
zBuDQ+d>|hTLyH?URhZ=q>C^@f?Nf;*lzekS$(~aEJ7yXBTj<8L{Fi3w4CL3IfE(VB?g%ce5tg*@UPET&;0#(`-X6ctWPuf|4Tq
zD+Hi_0EK+S{euZocCV+D4Mz7kP@g$;NPWkd{&rH;?$~=ebU$=JmN|4kfT|v%a(I1m
zq+TX+QYg2lC&Nu+jYf@SOVK-d14)zArRj$)Xv)5xXLNil_bR)5Z-PG6YX)qM`yfFE
zoYG9nZCcW0a0wAogFEnSv%1QIixxv=_mJXvKDqh2i_#L=Ajs6e=E#v@;^G{HQY
zz(LH7SGvE#x9)yuf?dWBy%MnPpC5W7K;wQWr33Mvp3V4b^+RtWerP2*sBBHQ+TjGb
z`vzCsXj~?I7%SrKw#N84?m+SXUvmghEQG)tGg;=jizvO9!D4nZHr!y^c;*{$H>afrQMI7Tdg9ze|5t9+4P*>4c$0;
z&hJEwhM1mqx&0}5&SzYd5gz^=8sGa2Fgs^g5$YX);CS3S43LwLddkUQbcX{qnJ0kM
zbo2z?MymGR6aKmbvdk0y3RLxAy>tOh?;2|Fr2WK#kL(rty1cAI*&&RfJFU0-BMTmM
zaScyp*z0k(59#N{Y_kW)+&*q1xE(V$Vs0OwQv^FTZr?+Iu4#i4%cyIGnk08IS0~-|o(1f@j8gTnl*j&w0EWpmFDsQiM1V>lm-C
z&g1Hf;K|a=jUAF6A%xu7?P@b*&zB1C&Zmix;i!rj4Mw{dV%%)m-LHKmtAvi_gpRZ6
zh+PleI67j}h|v&}e!C+!cv*D$a2KBT5je}Znj@h=!;`fB%)KUK%2es~TH7MhP
zhHSmxWlm4n!*YsiRoo~H!?|?fq=0S+>FCOr8xzH9eY92G3yHMkL|xgy5th$rcqU$BU4ltqbF9FQlst3^qGkbhU}`LU
z{gwG$I6h?g^?aanzU9{*0U>V9)$&UsML#y|lOaSm;b`V&^>w(Ox7`ygaftlvOJ*T`1P`?6S?WwQi{)xZ{MLqdLW-5J+-%fwS04aVm;-PiP$Y4v(6?9#
zJbn-o+85o9)Etcdk`a~LTKmFrA88p8f%hjOFq`YfPeM12>&A~GMng<*?d!%ZMJ4p5
z)Tp0WL$(7xk_QJ*5XFC&rpSs#C-+~^7d6v
zc^i!W*?}2sHH*w}bVvSqC@lDT%#
z)67yWuNZvK0+ep$6M^@^D7DMhc@}K=iNNn2D9YH66!l`i*|B6N0^H_s3u$h|yiq<^
z2?lGt(L;d(rV{}yr{3t9_=yC9kWaJYjh==c90=Ly?#2|v*tt8SCt97+1ZoanRNgI4
z0BT&(1Jr?VBbokLRgUdI;(U(iRskVy&XpsY(4ilGXflH6c{rH4@k5^^`JvKyy5{0e
zu*|rjmjKrNb3^w4H138{dJrGvQpRVi8~T)s;0ypp#4aaMwSs8Z^v1uno{-e&W!U#%
z^iqZbH%WGFq1O!wy=K#AyA`@|^x1AfjE0zu+kLjDY}N1(-8H(j5MI8up5S9_
ztqM$jzbBIiqxU$FfK8Q10>`QH^`vUwJ*Ce&Aj>?ZPeWA?e)(Sl`>q9-Jf0E3M)rta
z1f6L;qHkHS;2zO8?Dcqz1X9k6&1UC@c|=^Jx%n|SVjdAUn}U%VkLag>uE`_9a_SKs
z^mOhKkx#SZ5uJjL1O}atLLy&xe`wh14{?||yrCg!*5u#{W{)W
zk+s4w&^Mnu^i%;Mo}4Rph!aBR3@u^Ap=+l@|RhiXK!`)*=_W5$gO0O$U>apOokb{~yW
zgSaItkuWY#s;omd4yXI`PCPL{A%axi5Q1K9SK%%i-cZ7_UDe$oTrP)F;SPAW6CxG0
z5x2pp$x!5W*6!x*3r!=`Y$Vj|$;lhoR&26uS8krCIet6m3V}?!~04
z-Gz6&8T#K2NHW*`Cs5Tx{|ZQblbvO%D2%LogM@MJZGeT3;Q%}yx*Cigai9)kAyTK$
zEcCp&Ik?%`lpYCHJy9eP#gg9uR_SlJozjK6q%mxgsL9QJ)63E7c`sT|3Id#OYq$dU1*_zb1|rVh5@FjzKg)+|*$1Z{E%#Bf0P
z5O+Jdhiq=db|O}S>7e6GR!3^X0yQs&NFg*obSL7&Ffe*HLq5&UPQ*G~zwd6;+&3YP
zw{AiJxE%Wr2T6-Pf*4UzInT@zhBMb)@mzcu>L0UA!Mm@|eFf~+b(#W-s{YB`Rt
z(c6u75faBVYLM@d2j`bbgq?61o$3l1jUGcB2BSwAD%{ejVwzfgf`c$L*Rn_m_HaV5
zo|fT`3xI>pb@m$fhpGuvVG1y(h8f(cVIaGB%?*jMj$mADtOguC7BTbk?2mC6HuLOp
z*pAcP0I6zUoOycoPjf()Ie%wERSzEZb`y1{1s~bz@{K;x+$?wqG(p`mVLJrdEO>DL
zev7>x_wSK@Ud&d#jg;}=z75x9ZgI?wm~X=^reLS$lw}OiHJ!3xIrVK`iJwT^3HdZT
zzRkJSiOEK@JvtG#D%Hj)eLC3c=#Y1alYnS*!aZFNIeed|viVa7wt&OHLGVMEZ-@oW
z3W76zlQ!VSO#M+ihMWtftK*ss*FRAQ6ZP?8_ifgEQUh`hV?AW&HKve*{eQwR_+h1r8C
zTBO+(Ru86@OJn7erShAK^%)kdK`8k_)v1=MIXuy5BfvHjh`FJHK$(LoQKCJl5~W9U
zr8=+_mRQ5RR
z>WYGsWxB(H8J*q-qYv5ZaeIJN_Yx7KHR20oKD~2~#N3E2khw=Cgg~=ECge73{$n{^
zApaCUkp(jOG&>9A4U@G7jYIUfl(8z2-0Vf-kpyCnW$+uBN+iGvd#dGjWz*J1JzNu1
zFnwX0eJM3+jpjsgl6}S7n43;r6SS-CTF8Ebt8KMTIV_Wi%hqTOvVF6XPAeRR>zvq6
ztva^pLd^ZVCTNE3PP0Brew`j2ukPwJLt4g{-pTTFAi{9$j`>`|`&JR|w$?>Z*DmL5&qF3+qLsm~)JMQ{DKbtsnEEXcJ2%CBh0l7{ze)8LevP}1^uG-a+
zQEaxa>onRB0&o*LUT4akcQ=Ho{enX%EtHLp<&xg&c(Rz5^U?6H>Ub{Kjpz9Eco6X;
zDB_n=OkBBgjSjwvD-6CLSFY9d(gRm$=efADzhXdjd|AqCaLyz@sJyvRH!2fvZt&yH
z>vix=ykYSDc=L8$FFo*vcAkqji|K5pW6DA-;tZi*RA$_z8-|G)AMsf`9Rn=bubU;24iBzPyLwjKRWm(W-#~)
zGpuvTzy+Eau?LpW&U3Nk$ZkHJjzNcNDsy&e%T(qaryI73c~2n?oE?Fabns2gWAOc$
z_cUEEJur`Uo{M>h>D+D|;|@?Oa-OAsR@wDz-9Sz3+UduxaUFaUyBK_hU5m(4gAa&(
zQ^(QP_0t2xX!p4o_T=s>A|2Zf(^cnV)fcKmf3?F{~7|J9zEa^!Hxr={gW2Z2Kijz?ks}
zk{`A`fOrito#}Ge7X5lbvKs)~vk;b0h#t=TCOyQ^Bs&v90p1%W2XW8BjW3jv$tosK
z!O+7-r#;ze6QP1f%%%c}l*ikG$wn4bFI7TaU3g=J{dayiUhLG`n@(N7p4ssG7AC01
z4jUvZE;N%$-V^>7&`Nupx0C?U9_P^_>v5jAln+2O&#)eA!4kI$9)^*FMjT_QD({?o
z29ia`0cov;Oeuc}?%++JR}25NNh@5*yK7uDJC=QiQPwhsH{+|ITR)MNia
z!;9+Y;t!+-RHR?Y@A$15hIQ;9SyGZi?4qm-lQH#~9xg71U{GRkqrk(pz
zK+TSH06l6jsT}_7g>ZPo^(MIghBq@^y#I!`tbzYQAK53Olk79qOZ-AwfNt_ipr2Bm
zbDQi7)l*SvTL(Y#UZGQ}ujEHW0koRcMZIMou@3*0=r8+%I*cC?6{5%dchF__5%rmU
zWI8Phh+f0Dk%YYQ-*U{JSe7X(Xm-!-?G_F8oEp}U6wP8qwF472D_$GkFy^n^=@vuQ
z!-dyfFMXlf<=i|f<@`!U6`Cm
zZnqjBu?WRaVz*d`<|(m|emoO-6%;W3ifnCd4)7!HXo1~oL0*SesaYMv{Zjg_Ev96F
z%~Xgzr(i~cbEh%;1MXYl8@H3S;xr`1uhmE%rIywW)}HUNm9w@?P?q>J@30WWECoz0
z-a>$A)q)mT)nXwMid%O2MaA=@7Ca@zxWiI4k7C>ju+1c4iXljnQ4CR{RSZ$Ot?$Ak
z2pabvHYg)v?x&2mSs3N1jPKH&$^`{DZm7|X=1K^DP!o5PG0O_59c=)|6Ep-8RIY>z
z=3;Xib+%k=7Yk&{;qmJ5a78I>4GTXN-wOs6h3)E~F^Mf(OtB}5zAFvS8EU`?9e@cL8m6#UUl^97al$d-`@mz4R*^88v
zct1V4F$8lvt1?qr{>_tHh%8WzTwC$eiFp{5U}f%mvcO&s_Z2BITau;#q3!
zh0##p@g~vX$!24+*{;H@4e!juEZt(~pUKgbc9Kp9bTHjc|19`KwE8TI3YbNhY4zy@
zh*qmMfS4d9->vz&4YFX|*6pMyo}MR;xwnIa#gt5)i@WI4>m7BgD#2
zk4~{LA)`meg<$k6dcyPvH~_VsE3<1)c&_Ytr{%v$)xOa#3;G40UF(0-HP0dvnn97(d%OJ+A(sF{7RJ{h%;Pg4JveH&DCBUmhTOr$@L
zF&Ql)k>jsf&_yH53_4w<|8ox2?A
zZZ-j>WhbD!ot4wwoGDtx*UiOUJ7xHpJU9ENifMwI)UT>dxJ(S7*UUBv38G68SoR9w
zQqCq~h1ENFsWRmPo>~S*E%`wm#2ECOcASivZJw)XAm6A<-Bf#yV|5lRtEI@SXSO*^
zry3eAsm=k2Ca?L|Em(GLnYSMVQow&nkn2}0ZDjA)H^}vyNQqy-
z0`Zm6o!~@9S<0|I20@w39)l>+?lFkcC+S%(m>74d04j?xWM{zWE)r+;P7BE-XBB1H
z(OG>LsoJ--`+?7JR=5>V)kEP<_R3E~jH$T4&{Nxli#;_59tSu=kGlNvO_4bvk+Ch%>>+!O8u0kzvXQdCT*tY@g-He*N
zihYx474Mm|Rjf*c%v$zP4THJ=tu0ec$?alDy{>B$qC|g%!1lqq_S4XB+Cet1Yd@iB
zAbZrQb?x1b)!DjMOOaV$*FL$s=5$}(Ca7jsw|@?U?%(S6r$|D!y4{DmL)N&r0xnK#
z+;O(X-GSzF#}1xSurLC4v_4F{Gu&>T>_FI5F-X-SnFf#42`kiy?RNbn3>(=tNfiIuGAI|Mpb?crw
zbYKrW0&1$LfdYJ@UmMmB)9BVCDvuPDm~mj(n>j7
z1rxyO9&&X0>n`-SNu%9uLjB
z=}9hu%H3Xh=M6O5qYry1L-2(=xj*QyCoKVTJxWBJc1W(g<~hWjO6c}vKqgut@$
zCU!ek-dHYH-jCrEMT_aFH!JVe#=@*IyH%K#u-LJ&)=AxA}<<*5E5`D+#l8
zwHAldVPR*%mg-o8j)9d+^Yl>HK?fV;I@MW68B%h6?RKflCWajQ`Zx@}u&S+F`@V=b
zxhNL%iE%mIkd@|j~AO%>)80K
zvtuJwo#Y@OxKF2B9q%_s#SV^?QDm4$p-+HR*%Yax9#AlEJTHrs=
z5JvopAvq6(DzSPXRO#X<0Z^LXihB=i1b$Js5ycaZT&29n!(bc>K5yz>RMman)M^PH
zO2e3cdo%2eUIG8zBCcmD&&=RPS#Y{xHP|6L21nY6-LmupDu8`QYzj)G4^Dn4lY;!X
zr$6oi=M6T$qDHJ5Ad0*iaDdT!39T}}s(~iJeaK~g!^M8NgFIDrtw_EGoe5tYCx=1X
zZYHr-C?@5!LX}vxLX|GOEKnX4pIX7MfG*&7;&kDEJhGG11*dw+O*HQaXq8<>I3Wf4
z0bWg2{T{)+HkPXmxE6ucM*gW-N}_j_N1m|b>>#=Vs`}!eemwXmwhg-ZMH;hRwQgd7OQE(omK
z3DXs~T3u@r^c3lg)6;Pe^HE$`qflI3P12u@6IycHz~+DUmrx&fh_IyXVL`Vm%BFXR7pXgMnfI
z-->%5^a-aQuit2x{YGooOjlQLS~^yn9EbDR#Dco!}7hdaOnTB3bgags*sZ`a!9t^xV`0fBAc|~|9RE^NHk)R9_u+n5um3uw*wRG%a
z-vsmfLF`h5`31*Y0Ka%ig8b_8pho6{{CxniJh%@aC&G~qDIu_|T8Z6`d=M-btJcFV
zm#bEK>dmV4j7Fuo1rK$q(5X(|Wvfa7IoX*4Vz%1BiZ$UdtJ&c2wn_~ssn2bxZZFqW
zPQv2S_Sz(0{5w@{h~$sOrRiDztv*rXr&0cQ9Ijj$E4umjK=Y##s%C#y){~ZkOJLNB
z&0$C?$RgE3tKN@PkZdpWOV3R`U^j6ylR0vL@g1sRrjJ-E0JO{eYL3SRz|AZOcCKpA
zv%KI~)t*h&%|w#D*)ePBfl&mstG`XEueA{2r1~n$3z1asBbA4T#>jlx0}APPpqZXc
zdYhKdJL#PfYzxhId9kg1SH26kAD8d)TH9CJ$afJRFP>*I`7SmQ+E>{x+i2{GrE)mL
zALe+x*VYr){d(_;8;_6M+INiyw;wki_uIbG#(0R2cQhV*^CV&$joqhb0I&vbsO9jt6Vnt
z<4g_j*N~Y$Mp{p1am=YrnO~Jyk_+Rv9?t7=hR;D=YvARV)QC0kB8t3$m%%*y6vO3I
z=B#7(>Z#B1%M%A`4)j#j{im^knnR&&Hv>6PqZpVA)Tk0`phlIxGAEFa-1g=?PanDM
zj;v5ZJt>x0+6BQ>L(zJ1j;dXtCW8rbNw>SjGq-d}|JeTL-=9!bck=IPGI?(p
zQhrM>zzcH7il9*dgD~BM>nq`|4!ri6%mG%nD!B3>v1+To70*ejFZRf^TP8V^Z!I-q
zRccY>RccQ(b&H2eWHKx1wVtZFk|rlXl{B|qZr(z!Z1_(KRB~Hlq@-Q`0$j=1t
zbXLXz>NToOx^FE`%ssB|=XpqXk0%THbEy%lkc*;j2zkvzsV3x;o~oS)`Hj%Fn<*^h
ziYYlES0z>NSvd{9c^2zs?#(|BzFx$@5CmQ
zTqNyho_@H8nPvaKs1d8|i=uAG{yv-Bpi7he1)i#%$o>Gd?PdzgzG6yF_Em{h_EqUh
zl>K(aAk~GAngQKFdg65BM;@7q)QvMK_Nd)135P$^I&}t_Gdc-d+G*hmE^mt8RHvqD
zTh#%ind=<_0-5J|q{lt_tP*EaBUY6VMP8NI({~r_6&^Y@h1lq++KED332nPs!U~~S
zl2Zs(VpRxLIvhOksq}}x1EP*!iWBv-JdDkWy3
z&D99b5SSN+lfTn`YXxpvxGSLRoY($lZo_eH!odw{*HIg(_;l0^NYwi?5>>pN6(ofc*WVk!Rvvp~YnR79
za&NV4KC-)~H
z=ej)1@?Z)^h4N36p?hui11=uiJ)mmD;I0vAB(B`-7u$EPhmMIuC+Nw!eaGD=K5h0>PnE-vd<7qI
zpN9G3aPsh>K;8mMFqyCD`TxoF13(TI3+kp6b@Y^{4!f&w_Ero{Ei6DL8v;p^tns18gFPV6s)Y~p0t
zZC;w)IFc4XZ;s5&tr)9~LXH9-MppRgV=mbZ`d*cNZ@p)e$d}qM
zhZ94&v|$d?o2E<40T7PfP~KLd)P_cNYIYKijD&*P_yD&JzEL>0XbQ6U8n8fI+Q54*
z%J_%}AB|$=C1cg`@!1AGmB+S2niMtwDN$P|D^rbu)wP+qdUe}GvoySVQR&oWr<_$<
z0{@(PYAGdYtg^i_iM!r7YYHszlZW6`Z0{0cdxsK2+xa899S{I!s80f+>4za3AKr`^
zZZKfm>g6dEkMVj1axiP-%^i@8xuP^zn=Oq(qENju1~O2uZk=sHR!kEwi(d)}F`xz2
z@wox`0UTA6SDnA^(si4!Mi9Do
z-RAXc;C7s~mv1bsDs5P`ar3&>S6sSkBgn(X4VQ0P1NoPmV5~t}27;so6S1aX5<}xu
zu1=t^)j%*fuUbFj%VpDhP3ZW>FkMSb7sZTr8{=)
z7}+*GJ5sA}TMDgU3yr1c3e6ve`Jvi3g3|3W{ro5l#C@4joOr96&WBuFlG!@$N=j&G
z!T$yLmMg!T&Rm+USLc&2Vokt^Z(#~yDmkLHJB*BKkp8mJZ^C2CJSZ*Ofu|Fcr^s{%@r
zc280(Z4qmb#!|)PrMOC2Dpw5itp#vCXLW2o83f7;PfknOlU-ycKLsHQ*juEXpJFbP
zl9%iO{N5{hDf~l3paMMvt9mgGw3X%OEU4a-%#Jv}4D-N>(h5?V71xVx8Q0UO;jFMX
zmutpI{RF%}H#2&MKeTm_t<~f%pj*mvvJM*%(citqx6?0?qFw?OvUYSh`BP{^Y)#l_
zW^ReaApkr{?nFKfCKp;-&~2qThK5`03V5}(H=f4|K0p|G@gZBLHNds$`B#Wr!&kst
zV$%qUNb;9RtLz-oMG>c={#p={3LLGhQ$^<
z)7(ut_Y_YD%%fc}dfHI5JAt1n_r2)by$tK3W*r_$n8&pZEcU7+qScIhMv^O8>YC0^
zkOIX`4bzUV#iiQxmaVi%t0PH*eWisu((B-Vnbsl%}F3StLVac2b@^-3j(z~BF
z))uOB#X!69o7scEwGia&!CzZm@b;h>f6ET@e&|$&lDEN!I@=E&4pCYMW%R0eFLX*_
z4zIidDDD`q5Ks}2if)Ov_&ExI^wEVE=x;v}~_+U?OpO3zcP|ZRkeetn5TO`3^NQMl
z4Ka&6lp;O6ZSEvbRUO{N?rl98+IBOAbBVa;`nI{`tNVb=aGK*a8BU$=AzJHS7*mr+
zwXZGDd~IX+*Dm)|)w!9R3zcoqn6NV~TBy3b+5kyxo14Ga`gdKXe^n3BIc|dV=90dY
zTw4Rzs`SJl{Zxjg6;>YrDSknZ)D=%P&>c$6IUu0hyn%Oss=7DuZqVjqExU2uG~8xG
zW@yI*Z0LvRL|LUkVWa~>59qb5j6np9qZNEU1%ni0_r5WMvvwH2Db5j?dy}V&ZgFCZ
z^?GW=YOzF-*J62dAK&MpQVLpzNp)yV_l=+c+2eiuBAqXTq3-aWXfPA2LKc%XE%oCU&`QHIVa{APN
zB40gdM{^FW++3f9Xr_o%;+h^Y3YrGqzsrs^h+{M+$}^S4rOITZQd(Pv|5uCuj@n2C
zs-tFr=eu8NN|etlFqr&4fUP|C$kr~8ePn)Q3Az`Ec#lC&gv&r`AuYxfOs^8Uk^!MFgRy*-daE_rH$NHlk}o*wL3r#fsz-k>|v%r`pAvhvb9Kt&%(ZE2G;%+n-=~Ce<0qJwr?Q2GM=!wklWWS
zE$H4(R(QpsJ@_et8k(Dhi@Gn|7Q5(_&{wa{wxbB;lq`o2
z^(`EBNM5^&BVs9$IdC!rM0X5M5}K(fiRUKdHsce)5VCg1B5!tKM688mWpIE#syKbJ
zkLVRh>JX3SlQtsuZcm4G2f~Y?Zi+aN73^PrCpBXAFN-1r~D|>+O>Rnrm%;ZdmbDS`-+EXt$$%mbwYWq@xyvUH&Ujz`#gZLrj
zMED@4CeC6F3#{JfJk)ex$}AzRLb!0BhYUGi{;j{B3~3?rqDIbet
zj2X#Qk{U}(NQ;1&Bcz4pB53p*=$Hs;(NivHM9!R;kd|~Z19>VCU^2rS(%R>FlDd8I
zX)6Y|=qX2CS3+9L)@;?$yisuK+R^94Df6>O#uNf8)f|n
zc&!4;&F}_dCJuO|MCE)+N5gv^`;=tB3yDChjsY(*F62-eWUlVIfY%sPAbsJ+T-sT{
ztAzE6zb3s7+7Km3GwXH;6R)sS2Eq!6*08#cFV3
zLcLm^-iF6^!f70E>_)R*h66O}wdpjZ*8dMHvr9EYlGKr
z&~8O|&`!>mY2+^5$y<;&rdtk0lY}GlCm&#J|
z8Te4&0(nPfaix?ibDq_ZS4wFPdHp$1-ZAn@Xd0$y-T~L7;7f3Yro9g%gLYvw@99WZ
z2IS~Ni_Buz$PiQoyF^Vp>7JNkQMA3KZ6>v`o=|(
zfneK==3VZg6zSn;-ld+ZI<$<9<~;|QphffYOkwXh_dGb7H{l^#>t7gCozc9V;a{8e
zRMokej6vlNqIpr=bVc)C;~_f7O_1JP7(>amHH@K3dlt>ZFX$ea;wcBZL(#nD0o~@%
z#4@V-l!*;+TEg0ii4qk{JUAHxJqj|zTRz17F4pzLbz
zqJsCSZpB9hQA+(tzORe_r2C@T0RH%$RiK^tZLhzfogC@=I)r9|a?
zQ}2iOI`&P;s2~!7Rvn{)VqC~E^+D$9u8Ru(f+>(Lc4IE>EGoGBbs&H3MFsbSSF;YY
zxTxS$EG_6RH&Y^vdH+CoH9ji%Q(&ZUW8qjop`(II#W}=>GT^}u6csGtfWl=AfLedX
zVq=`W-z!hzVX$l&GOhz#zUk1HdYEJEfCCJXVO2sl5qYi6$OAod|TD5WkUIw)U}
zA%+PfIw)mOny#SeV5Z6LMF%f&4tz*-@Iuu>AESdAeh5&L><_!+&QrWpwZ+3qj5vY`47N?SZ*Yu~p~jU@A+=)$pPIM+dWVWzM(g
z{o=f=l+qjmJ0B?T7=a};9aD7hZOC#4VS+1U1}{Jc?ZW8bN06+r=-{6tsY5)ZPujhH
zU+{ETcPzgL>ZY&?<%WIj4^SgkU%MzWkZhaL!ACrlB0U@({HCX>4l!e+gWp9aXwktu
zQ`pDSJ*1s^OI-`U8J>M_r%*}l~RdsGAzkptJ5FL!-rYkylyocxdB7tubm!tf!9G;HDtV=PgRV+m2K{KyqdD4IC_0h5DmmNP`PNCIX7+a`NtgjPdeT@=QTUb|j<_W7lw2K5p(WI
z>2`mU5t-uEnx1a=m+Gz7i(+)VB2O`Rtj~xi89fiNB&Ul$84R1=VdE
zZgZbSpRz3Zdu%3~j+Y%!N#nt}0+XhHanlr#j%TB+?R321qN|&;gOFa~{BO{M!k}rU0944@?YM-xeJw5MYZh}X4foiQ@M?TQ-EV>UBJzu)Q+Sp06T%XawBRUu
z9BVXtErNQSM)$Z9FwKwsp4F4(Mx!*_sK6l@wURg-V+`(aB5w;^N6GFMy4GpaOc{MJ
z8|Fp^HqCCOH{tw@so6%eRGpfctV~s=n{+MQ!t%__gdG4
zShZdml`fp>c$E(3sFbMk$n3If8Z(tq_;K;}+Rn=4b)~5?9M!Q?T^aTMo)G-VZEw~|
ze&n`0xIi)_1BGN~fWt4_<@iEUNHg|>G8s6X_^)Y;+$QeCl
zV^eQ@)>A+U;eQEP=pm*%_eouApo@}LiJ}#@&b{ajqkZ~%N$P$0M5NMFmQ>*n==5f}
z^EOPDM=M#)DL#vn1y3O}a0{I7n-Q&_$V`YazJaCI2H|K>f!u`9FD^~i;0obtZF&*U
zOkYtG*7&8_3zD<1u8Hm
zf1?PdfAzQ7rGv|n0APR13%V)G0Dyg{x=Hl{no=w@YXt~cL^YG%Vaw;8faOHX3z78h
zBh7$?WU~yYPJb{7KhHvklkl@GFL((r_6EywVWedh#2etYLuugzcAq%*migg{(slD$
z=Q6o0n&tYoN^`yykF=8Cf-0F#5S#;fmqSWi4pn^_-s>8wlKV}O7zwF_=^#k;RaSSe
zL+d>EwTn5Umz^tvuVK6qWI~@%OxM?01=lbJe&4*7@dfxPVH@L}_NM5+&?3ok?zEdM
zE$F&nN|NDDdpW!s?@pV7w}d+lWka~r;@N;AO}V>6PoSBcL>mPu#QSz9)MLy&jgPdz
z&{h-AwmY+M-7tfwFz<)M+tpJy99dMbnjN>JBrbU;(m9yCoyiSeUp&!XN!Lo!+aN%4z->c@atSvP>LUnt0&P5Kwe*C9q&UE5T(K`uJ+bpAPT
z(ay|`@J}O~1SnrrTC$|H83apKh4pEpXe}$&tHa5+HO{3Fi0xVdBzoAx3_Vxhv=hiC
z-oEe!Y6K*E_tJ0%dI10Rt;j>iL
zz4Pa6g2$!d>U2}72G8_q)T1;Gw_>0*7En#;Zk2N=tv*(rE;lhM
zS7Q`{8j$0URSDAN8&4AH4~lIhWRsq5xksK=VS*a5s)8u;s=@+df>Z|n%cS&09!fQJ
zc%i3iC+hGA(6*Z?tPb3BeKJhGx(|q*SdHvpKF#LX;4XXq&#hALCXh7~j
zye|L{@P;!)-JbQD+=2L^fL3`Ml3ZfQHBy_~K<;m?4UURiov>+Wd}UjK02zHY4!p^A
z&JmVA-bz--vFSrcO+hn*RUxtIgH#Kx))ONZAbE}6b<=aLg_|?}UM+HM_^7ovz=~J{
z)XxM4WLKt6x9Lfi7xbm9^n>!1_QwZSXSZoO9?5YyG{lAexlLPx4nZxBQm0hs{HX)b
zi>~=o$*Y@ClzId5m7~;xQ{;ErADLDZr5@HCOKaN-QAmL+Eq|DbuS~N;swEr
zsS)dfKoofw1c#?HC{Z~=U6zy=l$t%c%hMAL0>0T(Rfo8-?xMSqN!mF+d8YA#K`||d
zLsf|thpN&OiAO%MP)urt)d%Z1sY{CHWB0&~hZ$V7W-Jc?6#*YlWV2Su2F>Vz#EsK%VkjTgW5l&H~Enn6K#O
zD7hZ5vBhFR-H#P@^pvBH(oj0hsX2cWB%XlpeqASLaW~AUF9pu$4
zFK9BCS<{@GsWi@6Uz@J9nOn2Zn5kOD6R)0Iv!{Bi_42;s=>p#LFT3VQ)%*DDnv`?N
z5!g&7yXMHk&IzwgVY#xZG>JaLO<_QWjg3xoo$@peAT0)i52=ldOQ|fL%5iGvB0HE5J3EEyre)pQoT*EZP9LN(o1W%bL2PR$!vel*8b`6a#`;x
z&d{tCVQJ<;OHPl!Lvue{9mm9^Qgv<_{|&dk*6%`J_oa=m%uYz^Gq^RK{<
zpQV4ic=EQ2kiR-FgRM%|zh!W;5V&OKd|=l(dnhF?x7z(Z%-vmE?aJ&SBnCcD+u?+1
zq$SmE@N>{ow{O`)pJ0k4v@_Nct*&Md-G`s*PWI4ekiD4$U*oce{?5{ZuCt~j=}VU6
zAK=ya?4f($EwQ{q+2}&{&=U!(kZ_|YdDb4Zd+!mb$N57a!^dp?(5mA6p@u-f`M8}u
zgQyEFDNCIE5NRDue!wJ4g(=3EsQ>8PdBP1;%Jtr75&aI>mDN;T&(KD57SV5zvqOv|
z3miM~7q>oJFRQl$|ILCSPQW)b1H;v7VWcvy?0z@f;4sOl3h
zi)fpt3+~Zn)flBltg0c3ysF{JB6@*`N=@A7JXLjZPgX4CRY4roY-IQVR59`uch^5X?U{Q;Osf{N68(KGq9$rj!w3hK@_l5
z{ivri?(t>?_z*Q>RRB@sRe(LQ_i8apf2ctvZ_EQ8IyDvejHhZRD)4z|+szVI0mYJ>
z3aApR3aHXEHn%4RifyfSTL7g%D&myl10JU5l%jZnk5zxN2M{or>>to7haeEfd6oe(
zE#;R1;E+QQ60=I!-F8~aMZsw)1>VavG3A^#ed#h?!bnZYb+ETw!@ZUn6Dwa%TiqXTMxJBFX7EIQ>pf
zImRih#R)1Y-8q-tvCxmMx$MYsC=yi0khAQy6TBkFMhV##lA!V&?rLcvxzHCPc38-f
zg@vVhd3vliH91$RZLf#~e4JhhU(gIQT%Md1afecMyhLFzm8){KY#GkVWDT)07Wg@yCh0Fe-f$HDX1jqR5L%3sO|rn_N(;
z1eEOeC9vd~#<*26Er(lGi50i1(y)XS#iZ~A7W_gS
zCVhj4p~!nikEk4h=<(KoRvA4?OCU{}8}o7ki!}R6S1lPL_W=#A1Qsk8DI))aPn5ty
zPq`Ek!hbOdEHaj)T&5QCRs(E@crG4GVoPAbVnN*=+az`Ll%uXY2`pDkS7GnjRBsbl
z3O>?F0!u-Y-A`Z{f??2At9a_w6IhN?Z|#CuLjiC4m%wte>V13yOUk+Anb=G=fu*o>
zoWN34uB<9eJ!iQo3`k(H(YcEgST2W7WdVtFTtMfwHs$_jk
zU|9)VGSdza7jXhhN?dL=d?>uvwbigpU_oNw^OV3MOd~C+4u_wEmco5YVEF=5B%z(L
zmgsH*%Rl3%x|6{2b!2Zx2`pc=w4j?OQw6XM3vZHa6BRbOE&OW*)nR6!UU!Ayr~^
z3#rmRB(UJO^i^yz0uvTyFgeM?S{wyVU^#)Rx>aUZ9D{SSrwi`UW!2b0jaXGf6nRy{
zlfd#?50#p@|DmU?xQ`mKDu5{RDu6eE<=;GXYAWz`Pt{IT;G594n$XWK<30{%c?lfduNCL}+
zc*2S`c?C}BZ6j^va%|6;vJ%;@64c~&?9*WK67HHbtER&1LWq3XHOVS&`C(7ei_$Ub
zd9unK@U5(ZXILeD8gD|fhFI~Q;K?c<^mI#yTem^o)SHP~%Lw$(s1Yjy6-8bIT9A$s
zldSS-Pfw6u_DX!pQ&q>Pv0jP$kx5#zN}g$qQ5Dm27*&;6F{&!!cIoFmMMZ#*^?LnDeC+xhKYh;Efa18$|J$KyiCF
zB969(1WQ(C?*yW5&9??c@e*67GkH2GQLX32=9AOceAgrkl5i4+{#Mn1yl0cV7PM4t
zl**+IbIpm`bZL2MraXE>d0T}J(QZ_yW+&+~D9FVf;NHM>qi{&i6v$NrHViFoG;5<1
zWqd5vD`mPObjetCe0;V6cStQMk8S5`Lucx>t#H|BV_6gs84of@jO%$p90=aJ?1_xQC8F@vkTW>QMz!=`ZXI@U0T|3#rc=6TU~*g`
zz;a_?W_By&j!(e#wp-`uxVp7S$0nwuv=+{=86&w=;_)P;Je8BpLQXcu%1QDZeB+o)
z78H%=PqX8h4jWz1k0N~j4214=rh`+hOF(
zaJbYAjyuT}jb3HCQZG-IHlRL_mM*Q1R;C-3f%0Sxj-f;ef|{wpfuUbFUYf4K@l*{E
zfwL!?&6yQTm+siHV`SU(>`1M?Z7H;ZEi{&%D>Q!?7Bbbo5tN>e)X$H?Kul*wapJ9N
zA|G;bNp5s?S5iVl-mx9U=VXH3190g(-xo1nz!;kx>oOUl#gP)GAS^
zjxE89AuZd1rWCe^*Y0mU<1#!AwfK5Y0!eTuCmfSTm!-o^JOqX5cX^tq;SEl4o0!ul
z9Nyp~>FdMOa5d36uw9D3u&~WT0RJ>23&p@!&!K*YdaHGP?{KDM73CQ}resv}7-(#j
z!dXzNgovc_9!0+mLk&;-Y~ts}36`?&kAeWDeNR4$&1ABm7truXYWOen>z{UiJs`u`
zMuX|wY_BtHo_4nmYf9q~5A|FXXA%fJltp
zOVmoIII>QsL4~YF#hur-%+i7`Nag_QPS50Acr`xV^#piJIEZm{M7pc&9J&C>^EuR)
z$%2Fd2g&1Wq~z2MP>(|jC*or^Idx=XWu{(fRHmEKaRIoLMYOcF3eJkkRCN?EDQSsX
zKgPbMtWR<^QZblZ$;3z@E1s576EINIk9n9_oARmm>77-TUm@)|P
zmL;83^H@C{r!_d|zFDWcuh!#Vywnf|4>feyy#3HS6~4$rt{xpQH3mDvA(dOG5o<_A
z6d48w3;aA^h!>0^sK~-%*&fRR3a@LE_s8es%|-A!zFKqw%rWjaEW3_E?lBY
ztl<(>`qcdBDvq=)g`j`*mp2CIx4JJ2vScP2WKnRMe$2iH9nel*DIS?ZCQksl5
z-O=~A&MuFQZP`jrvHIK=b=LXtBK=wj4S8Qit0A~3b)q%~tDaMAGq`~ABleavPV8Jq
z9E+i0`glRR!_*1tfm|K^TCF0ED56Eo%tggYa7dMYkP#EpOot@Ud{4E|+R^KkQ~{f8
znKA<@>nsb0T&a;WlPv{PrvGGe@F|md3-4S#{MMrp5+n2NM86EI&X77Cj^r0OG96{l
z1VZZ8kV}Y*k9b+l$e)ljnI)^nz?(N+I-gC-
z>e}>JwTa$&fqwClNxWW?=3ND$BHvO{m7E6Tf(1Vn{|S!hA%fb4`bP|1$`k{1>3L4e
zg*c{}9d!l3>H;Kdh}FTL({gcYIrRA=H~0j*jac!RDDvVlEfg&~taL!)G-n;NS2uckg|st%
zoAy-g1iv+qVOqLNo`H7Xfd*HK3zmx{l6&!qQe5aMmqbFCtkc~Ux48%+)yf91jEQ*%9&dT%LF;!HN|Vc@(j
zukjG`3#x@yy)O{cV1^A{9+0VlD_A2R+g8EAn3f7)p)5(ke%|JNb|dv7xXzY
zgEYStSe=n(Ix5LGae(@QG)3%))&b@am<~a-Xq=Xvl9>aUp98YH1~LzvNaB@$((Sx6%#%4dLxvB*!ra|AIZg~HHfnVu3aDw89nRrPJNQ{W&JnNQW}MzcIUDo#Rf%xOXY13Lo<%pFL$@YpD-v&Cb{j^}!+cCzTW2HB)7I`VAeMTcTrZqcDi
ztcwm+`ZR}lDAu%GwZH;kYq|w+B6kSm3?}Dzn5Qi^P%{D-8;hu_Uy1kLDCP($8|rV>
zV-oE703tao^E#*+p}vcB31$D#aAT412f)mm_Y+0Dp*qoucnQYjUD$^RI}SM_0Sw|`
z05Yh{qqv_KMLHc>j->IMVg!xmrvr%P(fky0BHS3CZnr$87nJZUXE+d2rbp?c&Z{Sj
zSpy>&W~~0%(<9viCDTwj{4j<>3WBWCmx(aw#~#3gOw?bL*}E;a>6^p$pFQlP_+DI>
zb{mf9P}n%`IqilCyM7#Vvx^u-zny>BGkThxN2Tksh1hFjxe9r&(m2RJO#xf#;Xabc
zc40A8jj#*HlN)7Cy$;#daHagZX;_L>$4a^tAku~{+F+uxfwU#r8T}`-Ll*{gh@HL{
zc&bK7-pml#mwh37s#&gYt2F16b*fLFq0LO=?jjqNLXO^@Lraa+MP03YAU-C7~8qD9r+nyVbE=xI$k69TToldg_fU
zbQw7eYg6Uwbf^#X8R>MI4bBUP54F~T^YbXp`6(!a3mSmHyt{KCrCw>J_LCA#f*7foi9)&Jiy-rW1M!*{FUdqCHQDj4A#;KD>rqhw=Ftb6*
zb78sJn`e4@gX6`)?uDMJI%bPaR$L5iyBWuRC&jqj%0QJ^(VQxMW`u|+R<&Z@0>gk`
zi$i_~dYFsjz#a|Mn?U6EYpUw^OUVU_6ntL3sQ#1SR{}`n^~zT4f4FL&kghU}^$O`V
zD>BJ-mlrIz1oVg(EH`cXEq8!8vOJaP+`TcLW8@NXv~iWV%Y^l-IcF&L;uvsF+5
z1Q*+g6Wj*TMx!`T56!K(J!*L!-cEy}L*RMl~5?4oQdGE_?j$TOH1Ws1SMMVTtGF3MEtF>V=B+-Z3#
zf&sxcbpzsrgOn0*fro|K(hIdJ5Wy}BXqBDr(u71ISZVW>l3Nh$EYRS}KgM!_VBd{T
zgkb5ZHwbn);=37X??V0Vn!m@2TvdY|AXaVGSIrI6QzP$vKfvgQRQJrUN@U4!e+t;E
z3uQbk{iJH4HQg6js`y}oqk9S7Sg@#3VgOOS1Z=VV(`3{?K{vBAoD+inqvZt$1pQ)Q
zb%vlR*OP~E0Qv$!4^1IxItYc(GbJ$xJwFa4cMWCF&~t-Q
ze#kk3j6m|hk6^OO<>RWX0javvm;gk7c!AS7w}v*~2)9
zbPcgq`tj|}q)81O+zKsA#U+Rze}kREBF;fUhsQ#3Vt&zk#nD;hLU`m2QTvUNCUQOJXJdZwihF_
zG+>)&9s^tEkP&#H)G{77OPX2PL$}t&K>mC0kg11%vgWC(b2YgRDi^!4@yH;mF7s}h
zP`zEQCMO;S`YetH$R)bH(nEASOC18sL^x`gB7J8#aew5g+6nXjxD)1IrZIm}#t41H
zLv)V$U}|#9Kq2W+VqFHR(&g<~S2Y~1wqA$H7{9Mi#{MPa;sB;_v<@e#z$N2RRMqb@
zQd#3HtLksX3Np6e4j__e({Di4h}ksHXtCi3PL_sg4^Ehc6%w2<3X@>oZP?bks$-Th
z4*B$8@)PV~1mGG>ejLC)9%E!*m&e%1C+BfCep4)=u|BvSjGPXDsu5$I9#=P#YG)2B
zsUl}~`JpM2P%mW6%`-e5>A*&|te+2>v5q6EzX4O%rYJtAhyAmDK5hhabCc+<-{v3d=@(9fY!6Vyx@-@EGBjQgKq6cGIj9<8
z1x_L4uQJMECoe32a7Qkj|BNehwbLZkYcyJ2&exa^=pW~6yv|cK!j9zfHQoem2MOID
z5)nnPN0pus!cL`Rt)S`vYp{KN%JYl(D?LopL>%QOO2nOCm+9xy+Ysdmmo6wJ&K6HN
zEoB_J99S+q;a`Q02~RjZ^~Mu^D!P#61stJ{@brjX?dVqR;5XS`2Y&FQ#RA`;4x6=j
z!S~lINk@SBqY_zyC_m1KW4sUihpL6vR9}4HDM#~}=x|;y@WtW**9!~>xK@BBLA-DB
zXs<>d#yQ>JyIWq+J!Y8
z@AqQlGkd=UE66+g7)vC0M_&f+5PA3^$U9Dc+Ht7ORp9;J$T#lbhFfE8Wcs^>n;UX8
z#7P%$zJ&5H%HJ9Txs^I?y@|>RO%L&!1xPlUNn&x(R
z`lI>Fnx3jUMvcwgm_t@+F77<**u~BKiE(ki)&l2GdU-M
zkn^IIo+^E&G@SwFREs)zJ2GlhHEMV6LPC|j}z6+^p*WB3$H-l%&
z1E6ZeOt}cR1f?TG*H!3;qNHAIIT=K}kq%?TOE8MZVILyU(qM9I0E481imEyVL!OWx
zI*NvK+V8M_b^x*LsyZ7v5srI`?HW>L0Ro`4#qX%$qse`zDcKNjD}kzRS8Eh@u%zl@154;?7jO%zHEU0G3#Mnd#4lCsX|l=763})-0IKBQ>WNb2rNiHn$|-Iq^7YsmX9#
zb@pPWd`^CgEbogK^Qk$hD|TY01m>KW-vffX=EOW1+00H%!3pwrJ<4+Ebz)uvPE0)B
zmgQ)%zKG%9GJee~@q%J;E-ry+P%+30;mpa|88}S0F*^!}`KC#_J^h9f)8s5*1xzN-
z!ha$__E6t7l}6|^CbKUd$xBg6!aS1ekgg%tD!)haR*V^I+c|`aY!VYjkvo!$Dft%H
zX;RQMf290LOS(1WkOj_~i0d(BWe+oS=(HT_TD_CkQ6pe0^WI5OWLcD$-bw8+4})oP
zo+>O?5>Ip1c293KS4YEBRmYsMzR8`)D9tySXB_(`nL9DQ$=7)3*18zTd#`WuZQ-B1
z+f!BNYVs^CSZH^upL;e_4qsoDwSAB*nyn;
zP>5pD;!2f1yHf+G_}A*VDVRNxE`9cNE{13+_B_uppeXTD4Cj`>rPx}k+BHYx?%RVW
zz~3VW!Y9DRa;{?pBvMy*lmS!~C(OpZl#X!RdoY}bLcjIlEC$#xOf;Ma2XKmq6FJr8
z;f(Y+o)SPTdzD6z6XC|Z`Lwh(rxF6B~VT^;g{UcHCCvwS>m^m0>@=&IkOKiktQ
z&7`ARb=d|4`IGMsAdxlyPN*88`AZ3nr~c%^v{l^(aw%gl7H3#bee9JZ}baDL%_pNC(se9X{!y-D
z>CjPvY;hga;=9_k8vWK-gkW3eB7@yK#ssnM6hQx#GQb1vDvf#R;Y
zWKW025KTV>x++*f4!?bQbiFRwf4vMYDg!5K9jyR&I)&
zc;ec&#^TcK%ozNZ<}@@)W7YBT*#=%1T(7{@_K;Kx&yB?cqYx1_YgTrGem1D;Y_mF9
zZSw7B+bYwQx~$9R^vZ0(=G;uBR0YQ|Uhf9ljTNE&0XVBcj0Il(hWiB5o8wC3U}*+;HlER&xSX&=8dO31Y9Nc0JcR6z+f^Kz#3kNBWnV2$_A?H_p3xM#9taf
zEW_~^L)D0JT+p0_s~trg^NqQDe1x2$f*KZ*t2;gP=%_f-)h$1$1LJexb7q);z1?r}
z&>^&aFnNQ&o^+xi|GGTbK`XAm3m}n)`2RrFh#`KCx#HSfoq{Q=G6R#xO)%l@9IaGf
zrm4*~@%*6idgaDh)Lsl!(tEgLajFUv7)&{3z72rHrORuwuLty>*JS_Xsj5p~@*b#M
z91_T_$^I3p2Z`Q45)nmfGF7^|8|+rf*Xl}hU@wurxOLq>P=B2ht5hMB&nOiNTGz=b
zQ_k`3m-x_Xi3*jvSk`qUA&zw&mWy@W&`!Coqo>}i>sG=I8*sSk767N|$$!DgL9Roq
ztqm8h^!jj0Yym;IwwZV^yEE*I@`u(jVufja+p^R=+*(lrlY&yEax~wa0RykAi>U@7
zi_cS43%i!DiE%ej>?${<}Ydn;*#u}3Z
zQq=r@huJ@Z<8egGUZ`Z2Oz|Bob9R9ZF~x6GEwpwePdl^3X(y6*V}JT$iJw+H)WxZq
zDWy3>{2HLVYlir5pfPEP1xv^fzn(|iXNZ?+hFA%3-VSf%9S^CiE&fF%(8=E;af8W&
zOru?_#Il
zUw%oNBj7T@+-k7_ZuHXtD{6e^H?Nb5JvrlhNS=ujOxTK)oRZ=FEz6l*NJ9+oFI5Yz
zUB}DL%x>C+WMHmeW|wa{wG3V%`c3J~8Qq`2D0I!}9tTX2MprO|jPB2Qqk6O+K6{0w^|jO{b|WuH@>5wGL}7+WPSvBvfS
z_@pqlYw(GTEj<+(TS0Co#`X*rHHwYlf+RG&tfh4onOfCmp`jHL>v8~?D?-)cFysj4
zHz^&Q?Tj>e`2r;?WbmHv6qFEy_dL}?>&AXf9*P^bO9)izzIhu~`g6>lrCI1*Ru7ze
zmTt7Xpo1G3^5#8DQ-RevLY^`^nMA(#1rhU3xtxd<8s?PBoMFBKsP39!z6+VhQF6f!
zGR#*ZXTbPb4YPjw(o$)ewc7zgoD$LRDV>tK*cZqHhJO3nQ
zXFiPUj{>ImG6dXY^-1_vR^2k(kSG0r0?8U;HSljTT4mj2v_W1xVL!xQ>>R3-_i9Wa
zO>=9vGAb}-)3X|BvaSz%x}yhS-U)Th_#a1tzCew@2lCs5M3E(t*4!rKIJBHY>y8>`
zkG}8e5s0h27x+7#s(J(~GJcvohRo8o3gwx{!BfS&Tq3I~v7SAyN{>|{BKIenLZR5x
z^3?>j$5wS%X2PV5pi?USgB~U#zd3@B3K1BQ`dC1#d8eEr9VYz^WOKy^oke&)4AtS1G9iXT4^d{XRp=j`#{)M+}vI8(^E`Vi&b}V>M
zrY8~#=6+YAOSWn)a9Nj4)6o)w1kYD3v}XE+1SKna4g{}*&ShsNClI{a@`A4686bE?
zV08w9DX){w$o9Sf!NU#LsA7E~4or#6;lOi%=&s?wKS16w4iwxV;PPx_Ob8BygS03<
zC3}=#o^O;MQK?KZuP8lBUWXJ7Ca+<_q)jzdO&1c0{&s~v5f57_4|@*&{sg|2Rj~{+
zB=~zfk~PGl?+1TpS;3ziRKkAp58NTXwE`KhC=p}r><#~fryDwMc@@;Pg1&pG5i95u
zMPATXe0CLMzTyf>U}<7_$kQJU@_pV@wG+tq56CJF^5t2_kWaBL2l-Tq74oUlBa37~
z@ugK*1+*L6(I-+9_+$i{K;B0@Y|}s<3Vs$#Wtx;Hw7n&uRR(!d%cVhbk}N@1@imwE4jJzJT_U?wCZw>S<
zJNG!@-73oqx*}%a-8q5P8Q!I=PR>TI_XXbZrlyQ=6{5S8#vHnP2GHC!baw-?j?tZ9
z1|gG$$d?#&S1xgoB@geoKt*39x(j(lX<0Id6b&Xjm@sKfO-0jXM54Q0piRWWX3D~z
zgS!@dE304`UPy5F3M6ZY1>X0s>BNK
zROygY929d}?s}l;*rGn8I#Ck=y*oV&)PNo;K_Jk(J)l(vdQ#)1ZE}(E+wBq<0^ZuO(5Rtw;$m
zY4{N@Fy+*okV25(A*zKwB(>POnn!=JS>0(Dk`u8veL+;5)MDvTA*xF0%%Q3SfbOoL
zs+G`~L{)+z1PKn}k@m(;&)HaM&eq{dPuM0*8-vSr*iSW1+l{AcfFZ@EW6Jc#8)(KV
zJ7L4|);YS8Mggr3TTybJtV6m7lM9)AY2Qpy&)^M;tM)!g%QE_$Xmdfz>^%MoxI|rT
zh~*hy{jK;y`hP8aCJ=gEjT8;BhWMe^x>W(Aj~l#kANP2zK2^GTA?0pt!HbC&t`N@v
z%Wjd@?6UY4AGz(#X`7GSc8A`oVnnN(qz)!ik#aVeBmslKfjk_9z^VVaRMj7ZkKBs;
zssLhnpXSSiPnM!+k$Ta4U2L$Y$U&L^H9?P?Bwt1z;iWx%|z@BJpb53hFHxF
zCU^Mj$&f8FFKVRSc#T1xG%L~wx?kcfK56*XSXw~d2Z3A{$is30^1h5u1oG&qHz4m>
z(z4cNbS5-tyV&8-%Qe~o#ABacu1O2RdupzdG>MiHQ$KzL%+}W-=A;*b?|z_KXw`e}
z*|T)Cb9k5bAo&e;rZ4dBND&Xscc>8ErDW#N-FJcPuA#d_Zb{Ld;0K|*@AEi&(cO6h
z-QlU;Met53T?x*JfqnBhqeJ~h>4wT&x^blQhLo%)CFm4jykqg7nB3-FB-6z4K_(VB
z-b;wL9LGECaPDPD(GY8iAL6ab0(FjZcuN53(zX!NX{{-F
zXmx|M!Q_HSae{+*0+`KE4w)S|!7rhzU59d81BhiPw*{(3NJcwQZik1O?n1ez!Pl%%
zuHhj=Lb(}#JqhKIc~K+nMr91;r1^+~a?;AHv9v(BmjbyiD2L?&%DoSt2+Gk@Z=l@i
zat>|8ZF_TN-({NY0LEqJc|{{3v|(-I??Jh5iao!%-<1)g12*C
z#=
ziq!zox~BFx+A>-7Ht9A?u9;WhMaYLQ6{0lXoHggULI&8`7lt
zFLlV}S$7d6ao;KXQ4>bo>e?w1&CNwcg5(t@@IZgZn8EEi~N89ou(qNm=Vt>qX)
zpnTMrGv&0~&$HW5M~ntLKw8>@q!907J@j
z-ylyFlSf9Shsr^MT%$HxrQ6qbRGSl}g(PMRr3d-^Hk-jDcvNLbmP#)NPUeyN!Q}Pa
z32A%%u(1F7N8El*%I&s5Vboc3?}m?Mbx~I>kOsLU^-qwlA=VK;G`xU@LO)wTh`f>u
z+LgKk+K->nV^8BC7BPDkZEJS~8uJnYEPz%@eXut#oDS{XnrF9pv;
zPJ~5<#sP)eaG>4GYK
znuCiKUL+~jO_j~oF;md^s>i_IOP6`1ajv;Yl&_{-$cZZFPb
zIHx=0aZ*E*mHL`3;|}>%V0Ctfqzq4fiM;QNJB06_H~3%Z4M{1?c|*Pp6nD)VvJeM`
zy&-}Xv_Ah1awWtYatgRH;C4B@^H1fbNFYtl5KLB@qGKZXNC@cwY2!^LQ_1N-Hp~Re
z@t+9j+mD;ljq&9e*fORQqK>_HcU*)+8n#7n4bnBlI^cJAoJ^_>?v7@i92;mr(Xp|S
zw`HSWqt5a`!#r#rqOX~jB13VVhj<-~EQPvOug2BXh}Ekhio9NpJ)nzHQ0ZBT9+~{Q
zhf2f~?5U`Es_N)0_Hg_rGC=cGt-cHaj_1nyxiV<8TC*f?_-i=RH~G#5|BTCTBhUCsT5k
z1@wts6H7c*BZMsHnm85O4icwDL<9m3n`=Uq9$Caf)%#Xq6%a;jM>lf*iR~m0bF_&K
zWg|*_onMzu35iOhoDy5UzL$Wa}gclk9e7Cp*7i;{0zlS
zi#vjtLfy_}XJ`ecJ0dMWr5AshEP4m&lgSvTJK`;t7aZ=0I|Hk;J0j(GatE@$FYbt^
zlFg^2Bgy_kZ$wI9&KvP!Ah>JZh|eM4*c%}@LEea$AX7rT5pbC*o>kc>i9m_k`D~frHLg`|vvt{W|XW2dHcHLj0N9SGUJLsh%xi&*a&Yb27_qnAL{2<1BkeF>YyF%fJRF3dF6p|2Ro?h*tOibT{$*cVJq}u_x-enO9ayxt?
zfJ7FIk3rQ4!B~}g3Q9|sl&a&D2RlUpp0OI73yCfW-VjAa^~#O2l?LWgvC-~@OXA^x
z{<2HrAy3r^`OCQ^{t?;^614}3h$5GSDqY?VdzHGi+Ik)4Mf|>QHJ#1`^2B}C!&Gfv
zM0tx+3Fp_PD?_4N3BuhkaejqdRw(hexH8BBIb0c7E?gOhz7(El(+NHG#+7k8W+v9*
zzCt>)sp0fxl$#Kl-8$QZ90%vcW@eKecr^H0scd`Ts@9LrJJ3=Nnvnfji80L@i-Ebi
zNSceR5TC}dYM~Eznq|9)3;Kz#EPB!WEx?Ket^KcAxV<*HaB*p2bK!N;qjON{oRaao
z$$^!Mez62MIiN2yIW=P9%b?0>uagzn01}ewMsfoD)~&^R%Rc-#Yd!?m+V}qIs~pp5
z-TMsYn{~tQ#IZOaB^ZO_;lC5%zmwp<;p^tnV6l~u4SY&p+3C>yt79F$PH3hBi*T#(F(ECmGZ+r6*-{(d(yW*9
zcCH$vjWo_VWpSxdsf?YozBXN1TxwRQDz(`r|E0Y$0a;sP4gP(svUPUbmPtrDnLKCN
z;u8IN&f4;116r7=*T$=p74c_2xoZ#VkI3nwXH&^`varZ$#8k2nGt*Qpw8nbwI;GC!
zU8YTqaed=8!@5Iud&*OkojaOQ%$+Z7ITl;IX?Y9nX%+Acz>JZhK
zD%YDg&eoch#{4VrvuEj_O)Y)azGc$qUM9F;4BoyCzi@?h(AnD-Dm5`iP@eY
z$wvy3KP6}g9f>d5+INivw{MKZo@jPdFX#`m7vHjdrH%0rAMa>9_ScQ0ZAkX!3bH@y
zZ?j9kvUSNdFh7qQn7wbesGw_Lxc#_+Io$S@HU>s~yrY59Et57+*@oz;nvD}xK=F9Sz$728^(c)_z(IIZnoJ<_L}2
z`sNy;Epa1sqpf|{2yy$y2<^5^_5_|x`fs(h-^SR8&vrC6g3AKL*+ymojg0IG|7G^(
z&9>gSMq@s1H2&1qzH2nNePc8h5NcKZ5PzBd_^9nWZH$Wed`F{lfB~*;9e5Yizjv*s=M6?K^FZjre@z*!Zh+c0sx%Np6R!yg%6m`>K`S
zd|_5WN?0zdpaz6?%Q2B0{4zi!oK+w=K%Rjckr^Rb1s89sPR&ljNe-#6djwK)MWz96
zduYr~Hsz)V_I=|;Ne%HD9D>Ys(%X`{*`(5~6b|Rcqi2G{~nd#!JI+>L+cYxTvvN1#F@mh(=_9x8Da$%zin_f*xxJF$rlqsRblyG5QMoamq!l1p?@CDud-
zReEBOP^h77h1CbsfM3u}L-8bn1{0I4*LWC;y#EC#08~Ans=C$TRP-C9!jB0B_44#s
zZHnB0C6PP;+lZP_(5Ovruhgx=?{z=i=^@)ajvOm|6E$KLY*EyyVE?&?N=>le@2RQ_
zcCsBRhsVv64?}e~Ls+mCLvn(xO00sdN>2Vxdz7vco_4IYL@3ib``eMx0|
zy*f6sQ2|si*1(IAbx?r2<-oX?N{lZMDD0@hg)Lhv12@3GpeVC51Rlzx69_2y6IP8-
z-X6|tQ-3RFlEHt}(`&aFuwHzJ8nNnyDC$%%e(Rx9(~Dnus&=9mzk{~j3}L-c49V$*
zDzWN?Dt%rLg+&QKtCwE^9mL+m>EO3KgBPiT=WAF?xYtr`L_;EqVQ!&lk~YT(wVQ2J
ztg2=4&9RbMN))$A-A;SC8-BW_i`8uzHDXmaQPiort@BW+soPpl)lSsy5@_4a5LP$E
zkes@y605qY(uJYYphmM5{0b-nekV>5mU!42sR);8p377PF2#r`?$?G8>&z_d6srU5
zYAT?$q6EQIh{wVtb?Qjzg35RqmbLJsRVNHTC~Jf9o8lbl!HYcoa}PV~!7bE?RS!f_
zr+V-v50#o8yunko6Fqn{wC!dH>w#iOP7hRxRS#6@nQe=N8s1j>ZGfgAC2^W^lZWw<
znzD&Br8K;?R-2^d_~kQAz+rIv%J^g%5EmT!RENbWs!XXoHdf_A@m6(uyjB{Ug$lZ}
z$Eq&@9_xoZJ#&i$>&S!Dh*d{Kkyl6dL{>;Ig7`xXHtF(rJalSW@-0u*PPF8E(6*Z;
ztR;#iIW18oRxMGbtGgi+iifSPGzYqa^u_7UXFbCasXN!Qw?9~WSb1hDb-aVJJUv?B
zd>vFEb8%!K-ZDfh*gn9QRj-Z%tNQ9NJ~6bJ5i)lq3s|=
zQY^_Sk}9z(k}AE}tw>Sgp@zKG%~nCJklHx4I?OXTIkj?n-IAXOZ`!j1)<(P&1wGe#
zUS~Gj2MPG(p3tqq%|4I0Q-k9%G7o1eZ4b{f&~oEzpK*y0bdjFp>Z
zVKqQ$+k86}sx}({4!*B9AmOvCAVJx##Fz0mSl%zXLfDKH}Q$
z9WmZ;b0H2pVG)b9g<&pyMGYiP2!H9JxdZE2OhS-J{g{U`&|DIczwp4BE-eSoceuIxQotN(hYXb4r~Su4=~yi|t^rMBem|pkpF$nx1--H@&)1o(7PA
z6YQ`+gR*6Oc6t=&C9&TkG^6@VM@F^t10CdAivwXsoXuPAxIM=Cf?Nl9YMJV`*DK8#
z)U<#hS=76$7FsXtc^0*Y0r~vu*n4o(-Xw=%$Ed{{@|rYm(!%_x_~s-&sq`W(d5XJ&9s0Uq6YX>_6nr@5Cga@w#9$j^1DO2*x9v{j8So00Y@+yNqg2^m
zo}2}!0v`m&G7*96nwiRUquQKP-%PVVo@7)j?M}`@@f}Q_rPR~67fH-tLr(xLCb>F|
z32!&`B=E+9OHr!Bl1|nkMN0PJt>jAp)MfSvpcmY$l4g@!f$rKOK`)SSc%@p0s|i7Z
z(XXY%7q{wy)Ydq?1mIMUT37PZs}F!kUKc5ngURy(28mHO4pJbbT1!>^>#IoAeRBY@
zjJkJ1)d-2&6Q#)ku|>HWLc-Ip^-!bZ>BuCTmiV3yo|nVd%)BFZ?6o{(Nbvj$e?1AF
zk$F)g?Z&|jo~7A|0?%>|RAXrY&u;;8T^A5zxd6}i;S+5-q^I71=VzyAL)~>02b@n+
zpk^d{Hk*cQGmUounvct(q)gKmzR)G+nv-(XO5S5rJt{+eo`byFXKa)wK`
zTlHc=a@v#RhuEpUfaIrphQBy>IVCp-kiQJ%cMTx#{;Cup3%(GL`6`dQ7a+ek93ZPf
z-L>HONkp;I=Hy@)CO{zv;y+QD*Sl70NtX6wqI(RAPe4fy1H~nzXo&4VK_<2ail5^G
z#TKa!2gE&SS;LEh{;p_eNBoIdCMU8Y25SFGU3JA-&PK~7n2+sn!E+CBM0tnxQ
zPXvVNsW(9QoD?JSsaJ6@_|za6Y&6{g2+pA(qhSjKKC+;D5&##LE8|DY$dAHM6wj6+
ze&P?Q7Fs*|2!9R!bOZdR{Yd@}yVMu(drTJmn%ye&4X4EBpzr&D_^v_UuR&wdH!Qe9
zaODF$=3eOg?r`YKJ>Rv!_en#q(&FS%9E-u^dpso4teflDe8_ufmuf3X(Icr8wRIeF
zpeOj(@R>l+`wOIKi1ptOdM|f@-kdy#L*A~ptE8pX^`=4e_G`K3ki6&(Ci}n}z9C__
zi$f9!f__F-yAF331rW<{_ax**xcsyOchB`u(_OgxZD6St?ym5VA>r<`{PiT92_e-2KA?G(WmKL~sDUj=eyI3yZZXKTp?$T3l;O_DUT(E(g)8L%fnMP=m
z#IOtG>J4@PZC5kK(VH6<+aI=2L<~Z=i*aAj79w4oK!=Z88ju4*=gs90kvqWXt^~cA
zUzOP-sQW4yhR&ew%Tx=k>E1(KonJP9I}*o3;?b~qf5$8Dwy(5t%!~MV
z@g!gsGk
z9P+Ll7ac#asnQf%bMhm%-5van(vjo@AQV9CarjSE
z*r5MY0CDhGCbZp9!N7)c9TKk~6Qv>ThyIgd49%Hm;3$R#43;BZaJvD?eZkr({^*wT
zGc#0aczm)}7N@o#Jix7#knc4i_ftyy2)Qd?_$<0tX;*gk+L3KAnSe+C@a_Xc?tm>pn
zU;4z5EhQ_hCkR1c3Xn%}rr^yUk%%+}XUR#9)(ZNJxJjQ8Wi8KCm{~lq4rG2+<3Kw5
zAD;fWMU-{+F>1uBv!ckWvjNlKZm;&^7e2M@cb-mlqPKeh8E&Sq-YTZ#^j4Kv^;VU_
zIYt^NvWb8i%9g(_NISM1C+*+!Ffu3Y&bd@>#k?S(RdyL85)E`DE~Bb`mvPXIPZtIV
z8#{_GfT}*QtYz0+LQA|g^*Wpj0yjRbn;xxA;l|9ZlNGq=X=-bATC9&?f|o-sYy%wY
z#>iN?+UDOlu^XKB4*x?{AGT?k0hRSjsM$E^KPhn{%djPY1+4$qda6d~TkaC5GPE6}
zZ&wi!V1%q%rAp7~jN^(&tqvOkeMFk#^zjN0qfsAOb5Ja!G{>#FoO&%+tWhp_=_pWI
zVsXLW4BG2*!DG2_!M`0kCS36J)EgK4SrqasPi`5VfF<@QuCRkIhg#xt#N%y`MzbAw
zDS~mV2*NEJk2X=(4F@G-%`_`wQlu)yo)i;goCutdE72!52>b
z2hbr5(2wwmVu1A28v`^#lRvmeL&JY3IINCrs{>oJM0loUOT+lE1>Lt{F}{7|i&CS~
zA53-G>ow+_7;kKLS1q)vJvTOKw81xM8DaH?+7-n*#R=@#Ogy*WjY7aH|iZEN2Z_2Ty9qF&FjeWi`4
zm-u)(7i15o$wa-xQ2DEK)GJk<4FUxlq%EPs?)F!S>E@{w~-A@
z*QS@uPFHasy;uu^xlLnaz5R$XD9P=}fWhP?_)k<&t*_RX2IxghV_)KFcfiN8Mpn0(
zxE5mtCaL5$Lnc58A%>fbGhCGT9V+We-^2B9078VdGa&G6plnBu(
z;-emR>1+JkpsqFE_91EnroMc@wYsa*zu^Clyf|)603_um0s6d`BB_$_4q?zwXjdR)heC{(ca?)4Il6f
zA&xf3`u>cnx?_F2+`+&5Yu#qbEmG{@`yKVvs&}Hut9Jno{v$nd@J$v1%b
zh``*@(6*Z?tY?ZTIXzP)Ry|Xtey4q^D*n14yV!D^wEu<%)?8#|Cox0XoeCr!{O=BE
zmEDv$HR`U7ES$wb=d%{yKvlcs;J?lzLHJ#sy`KkFeY3ab;9q7s_-!B#kBTWV%HwNa
zyX?H54d@>0cHL7oLYH#R`yJ4BkSYq0e=t+~O&G87(`
zZxo&=`F1N9yWu6!jdH`w<%^PK!>1^Y5Bvt`n9B{1<-!a0ap;)vg3(iNykKX{&cG>5
z6|vhB(QK$U>|}>GEZb(GSFCko&;3VvTF6!XpmZVubjHZu#24ic(p#H-(Xy@d;A|a<
zcJl>FX9%i4oKXmKdI)j&e?hgd%XpX=zPQ-qQ_>D3-^9LvZbugHN$?o`1j58y7fTTdUfmF9m#mM3&-hd>z
z1ZG!>l4<0J#Zu65YU|NJuQ0n$!zT(p&{KigWpZ-{zJSEHCXyY=NAb~&Hi?5vQJ&~Hx8_NfJR;ba59%>rG>`tysb5zHS1s(K%+4~kSxr!=(9!Y@VDKCKu
zaEU-VGMNbp&j3mY2?X+T5+EoLdZzEB`!X{~iUHyx?y6UdF>gQuu{hxE{ajWjFTXm~%&m=75`(SS0s(b3xc~t$X>Qt2}
z3!vxJdtDeI@SmKrw63I-4Iik!pIB_TnzHNbLI-MQ&+DsggxXi+5cV9u(AmGiz>Sst
zDaKFUg`n4%=-U>8IDNl`pgT;Zbg&S_3fFrQPu(1o-3FNyb+{?JP?|YWSKtRtRkvMK
zexIKL|K3F3ra(?#Q(%ruLfa5KSgtjX6r;)idF{
zVtBPWFM1^$0!|zVu(}?o!ivkD(1)FkkIz;9qFO&L=(ZL%6>H|6GA6P
zfIyNxliHXm({YEQ?B?^nxND1P=V6apt^sIdeK^ME8Vq3wgLIh-cA>}O
z^2;Je^|7LSLi%LNYF~aiO<)U%-fT5!adcxDhM(ZmxU9(#B@9A23da#d$Zl&(Tn`^(
z5^l@!3n?A4>zOYE
z+S$V3Yb;V2sWldvVw^FSsS9$bTZ*ThCpQ==Quj0KO%6eNn)M135>xJtyP_I`dBY70
z4O(gdYiA#j(P!GY8NzXUHz!Kbk?r5>sAaagdE50)B4D(AmgKa3=XHypaPX*D|Hm9z
zRqKyl0hv8k89xQtv&F%!Uy37T{W8U9{W5hy4nvSCZ0E@h){oTvtp6T|AXCh_6>?B2T)M)hT?LSxfazDvEpK@161CWvxZ7+%iz;
zUA7F*yC|0CV3w~$51=F*&{wgLd4L1p79D~DhK3WGS&>7kjhgX`92^yB_hgCAwr{0_
z31~A2FrM$uC)Q$7d|tY?H$!|aR*aLxoVNWVz9=9@qf(oxsrnM@QT7#AESVY(s>YTD=*c?i9y3^q&WFkPb}x>7Xu^CkPM9wyfPnvpd$FL{1+WF?#H**3Y|6Yk
zpL3rsS5Jm)rK_h=FFn=X>H*AUtEa&D`z+Xfv%i?k1{0$t%|pbC_VKcOMmRoWob$jT
zh%=uw!xNcu>JpYQ}2g5Q|zH9-!e?86V{pUyCcXk&($J1fDJ~
zSGL32A083}*M7mi*s*5M%KF4qqqeQu3Q8*%1xuHldUmiF{w!Up4ALv%_HY!g32Vfw
zhEE=bW7EBtneMx#A(|F05_2OoMKoI`p%|iO9rtgpf>nUZw!xu90X&X0LWmr$kF<7_
z8*qBbRDCiShVz~pVFj$9Q5%|sHQ^fE13z9FfPo6QLTzNK2VP8$S77Xd<8!o`CdDqp
zkBin{7F@Jy{i?wgYlDrKU9fh|$^iabwSLp8;Brtp+RL(_-0Yc{9D_O+MjL-@t9m(I=7=dY6bjMY}bgD6n6Rq!`>
zfS_{Fn>bSj(B{bGXkQN~IJjcX=8HF6wmDd_{>tEr6@!B-)^EP@9Kxb-8Wddh2R8{K
z9lA9TGzON^D38M}f6#QSTQ#`yV#vSZf;DT`Y`zi)v#Zx^UcYM7reO7k!C*zOamC=~
zH7hS$yJ8URVQ}MyO{@BYU=!#XDE8#C7J$HDcMaHk5#r=u+;BW4>mJ+G!_21sp;MdM
zFUzKGz7iUNX0<*!S_!J+s}rbqvIo*0-9vHfs#U=Y!2=p`eJz5?ZX@Es@uJo0P;9qCJx|8X7u$3(B(17b_Q4v$aTa|L0tez6`tLmCBkb?
zW3o6@-DG}n!t+g9>520Q-Kej04ZYA*H(QLx7~?9hhF)T#Z_^N`@28<#O{H|8Ay&Aj
zhTPeCgodf5h&qkXH~|-~O*ffOi0(_?W*(J5Jeg4%F;}T5jXmJI98nraWi`ap(JLTC
zLquvI7YG6HwsO`|QsBW}@ERv=oRJzwUQh-!w>(%*ecSSDSFtn9cX>QBFn6-*qtTZ-NdG}vP4z7tc6
z4H2~=$RP>6Onsa-)by3>}bXUG`
zv?pYZ8(DCo=xfTRcs3*Nf1vk?XqRzd&3gRB$L|v3@{xA*J*B+16DA(-sG7QZq_
-
+ + @@ -4419,7 +4749,7 @@

SubmodulesSphinx 4.1.1 + Powered by Sphinx 4.4.0 & Alabaster 0.7.12 | diff --git a/docs/build/html/classes/spatialpy.html b/docs/build/html/classes/spatialpy.html index 2c1be40a..424282e2 100644 --- a/docs/build/html/classes/spatialpy.html +++ b/docs/build/html/classes/spatialpy.html @@ -4,7 +4,8 @@ - + + spatialpy package — SpatialPy 1.0 documentation @@ -101,9 +102,9 @@

Quick search

-
+

spatialpy package

-
+

Subpackages

    @@ -140,8 +141,8 @@

    Subpackages +

+

Module contents

SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -155,8 +156,8 @@

Subpackageshttp://www.gnu.org/licenses/>.

-

-
+ +
@@ -184,7 +185,7 @@

SubpackagesSphinx 4.1.1 + Powered by Sphinx 4.4.0 & Alabaster 0.7.12 | diff --git a/docs/build/html/classes/spatialpy.solvers.html b/docs/build/html/classes/spatialpy.solvers.html index 6399a06c..f20b5841 100644 --- a/docs/build/html/classes/spatialpy.solvers.html +++ b/docs/build/html/classes/spatialpy.solvers.html @@ -4,7 +4,8 @@ - + + spatialpy.solvers package — SpatialPy 1.0 documentation @@ -103,12 +104,12 @@

Quick search

-
+

spatialpy.solvers package

-
+

Submodules

-
-
+
+

spatialpy.solvers.build_expression module

SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -124,7 +125,7 @@

Submoduleshttp://www.gnu.org/licenses/>.

-class spatialpy.solvers.build_expression.BuildExpression(blacklist=None, namespace=None, sanitize=False)[source]
+class spatialpy.solvers.build_expression.BuildExpression(blacklist=None, namespace=None, sanitize=False)[source]

Bases: object

Accepts an expression string to validate and convert. Allows for pre-flight syntax and namespace validations, @@ -158,7 +159,7 @@

Submodules
-class ValidationVisitor(namespace=None, blacklist=None, sanitize=False)[source]
+class ValidationVisitor(namespace=None, blacklist=None, sanitize=False)[source]

Bases: ast.NodeTransformer

A subclass of ast.NodeTransformer used to sanitize spatialpy expresions.

@@ -172,7 +173,7 @@

Submodules
-visit_Assign(node: _ast.Assign)[source]
+visit_Assign(node: ast.Assign)[source]

Visitor function for ast.Assign nodes.

Parameters
@@ -334,7 +335,7 @@

Submodules
-classmethod map_operator(operator)[source]
+classmethod map_operator(operator)[source]

Map operator strings with built expressions.

Parameters
@@ -345,7 +346,7 @@

Submodules
-operator_map = {'!': <class '_ast.Not'>, '!=': <class '_ast.NotEq'>, '%': <class '_ast.Mod'>, '&': <class '_ast.BitAnd'>, '*': <class '_ast.Mult'>, '**': <class '_ast.Pow'>, '+': <class '_ast.Add'>, '-': <class '_ast.Sub'>, '/': <class '_ast.Div'>, '//': <class '_ast.FloorDiv'>, ':=': <class '_ast.Assign'>, '<': <class '_ast.Lt'>, '<<': <class '_ast.LShift'>, '<=': <class '_ast.LtE'>, '=': <class '_ast.Assign'>, '==': <class '_ast.Eq'>, '>': <class '_ast.Gt'>, '>=': <class '_ast.GtE'>, '>>': <class '_ast.RShift'>, '@': <class '_ast.MatMult'>, '^': <class '_ast.BitXor'>, 'and': <class '_ast.And'>, 'or': <class '_ast.Or'>, '|': <class '_ast.BitOr'>}
+operator_map = {'!': <class 'ast.Not'>, '!=': <class 'ast.NotEq'>, '%': <class 'ast.Mod'>, '&': <class 'ast.BitAnd'>, '*': <class 'ast.Mult'>, '**': <class 'ast.Pow'>, '+': <class 'ast.Add'>, '-': <class 'ast.Sub'>, '/': <class 'ast.Div'>, '//': <class 'ast.FloorDiv'>, ':=': <class 'ast.Assign'>, '<': <class 'ast.Lt'>, '<<': <class 'ast.LShift'>, '<=': <class 'ast.LtE'>, '=': <class 'ast.Assign'>, '==': <class 'ast.Eq'>, '>': <class 'ast.Gt'>, '>=': <class 'ast.GtE'>, '>>': <class 'ast.RShift'>, '@': <class 'ast.MatMult'>, '^': <class 'ast.BitXor'>, 'and': <class 'ast.And'>, 'or': <class 'ast.Or'>, '|': <class 'ast.BitOr'>}

@@ -415,17 +416,17 @@

Submodules
-class spatialpy.solvers.build_expression.CppConverter(tree)[source]
+class spatialpy.solvers.build_expression.CppConverter(tree)[source]

Bases: spatialpy.solvers.build_expression.ExpressionConverter

Converts an ast.AST to a C++ expression string.

-class CppExpressionTransformer[source]
+class CppExpressionTransformer[source]

Bases: ast.NodeTransformer

A subclass of ast.NodeTransformer used to convert ast.AST expresions to C++ expressions.

-visit_BinOp(node: _ast.BinOp)[source]
+visit_BinOp(node: ast.BinOp)[source]

Visitor function for ast.BinOp nodes.

Parameters
@@ -482,7 +483,7 @@

Submodules
-class spatialpy.solvers.build_expression.ExpressionConverter(tree)[source]
+class spatialpy.solvers.build_expression.ExpressionConverter(tree)[source]

Bases: ast.NodeVisitor

A subclass of ast.NodeVisitor used to convert spatialpy expresions.

@@ -492,7 +493,7 @@

Submodules
-classmethod convert_str(expression)[source]
+classmethod convert_str(expression)[source]

Convert ‘^’ to python pow operator.

Parameters
@@ -820,7 +821,7 @@

Submodules
-class spatialpy.solvers.build_expression.ExpressionResults(invalid_names=None, invalid_operators=None, is_valid=True)[source]
+class spatialpy.solvers.build_expression.ExpressionResults(invalid_names=None, invalid_operators=None, is_valid=True)[source]

Bases: object

Container struct for returning the results of expression validation. Any expression items which indicate an invalid expression are listed on an ExpressionResults instance. @@ -841,7 +842,7 @@

Submodules
-class spatialpy.solvers.build_expression.PythonConverter(tree)[source]
+class spatialpy.solvers.build_expression.PythonConverter(tree)[source]

Bases: spatialpy.solvers.build_expression.ExpressionConverter

Converts an ast.AST to a Python expression string.

@@ -868,8 +869,8 @@

Submodules +

+

spatialpy.solvers.solver module

SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -885,7 +886,7 @@

Submoduleshttp://www.gnu.org/licenses/>.

-class spatialpy.solvers.solver.Solver(model, debug_level=0)[source]
+class spatialpy.solvers.solver.Solver(model, debug_level=0)[source]

Bases: object

SpatialPy solver object.

@@ -946,8 +947,8 @@

Submodules +

+

Module contents

SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -961,8 +962,8 @@

Submoduleshttp://www.gnu.org/licenses/>.

-

-
+ + @@ -990,7 +991,7 @@

SubmodulesSphinx 4.1.1 + Powered by Sphinx 4.4.0 & Alabaster 0.7.12 | diff --git a/docs/build/html/classes/spatialpy.stochss.html b/docs/build/html/classes/spatialpy.stochss.html index 2cb25e06..4026adfb 100644 --- a/docs/build/html/classes/spatialpy.stochss.html +++ b/docs/build/html/classes/spatialpy.stochss.html @@ -4,7 +4,8 @@ - + + spatialpy.stochss package — SpatialPy 1.0 documentation @@ -101,12 +102,12 @@

Quick search

-
+

spatialpy.stochss package

-
+

Submodules

-
-
+
+

spatialpy.stochss.stochss_export module

SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -138,8 +139,8 @@

Submodules +

+

Module contents

SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -153,8 +154,8 @@

Submoduleshttp://www.gnu.org/licenses/>.

-

-
+ + @@ -178,7 +179,7 @@

SubmodulesSphinx 4.1.1 + Powered by Sphinx 4.4.0 & Alabaster 0.7.12 | diff --git a/docs/build/html/genindex.html b/docs/build/html/genindex.html index b01ffea2..f9cb72e9 100644 --- a/docs/build/html/genindex.html +++ b/docs/build/html/genindex.html @@ -101,7 +101,9 @@

Index

| G | I | K + | L | M + | N | O | P | Q @@ -232,6 +234,12 @@

C

+
  • children (spatialpy.core.KDTree.innernode property) + +
  • cleanup_build_files() (in module spatialpy.core) @@ -267,11 +275,11 @@

    C

  • combinations (class in spatialpy.core) -
    • -
  • compile() (spatialpy.solvers.solver.Solver method)
    • @@ -4077,7 +4077,7 @@

    Submodules
    Parameters
    @@ -4091,7 +4091,7 @@

    Submodules
    Parameters
    @@ -4115,7 +4115,7 @@

    Submodules
    Parameters
    -

    model (spatialpy.Model) – Target SpatialPy Model for annotation.

    +

    model (spatialpy.core.model.Model) – Target SpatialPy Model for annotation.

    From 0186da35216335acb28e5f980e3eb1b0bd0fa9f0 Mon Sep 17 00:00:00 2001 From: Bryan Rumsey Date: Wed, 2 Mar 2022 11:32:23 -0500 Subject: [PATCH 17/30] Updated docs for results. --- spatialpy/core/result.py | 52 +++++++++++++++++++++------------------- 1 file changed, 28 insertions(+), 24 deletions(-) diff --git a/spatialpy/core/result.py b/spatialpy/core/result.py index 9f766c8e..a8408d8f 100644 --- a/spatialpy/core/result.py +++ b/spatialpy/core/result.py @@ -312,25 +312,25 @@ def get_species(self, species, timepoints=None, concentration=False, determinist one or all timepoints. Returns a numpy array containing the species population/concentration values. :param species: A species in string or dictionary form to retreive information about - :type species: str | dict + :type species: str | spatialpy.core.species.Species :param timepoints: A time point where the information should be retreived from. If 'timepoints' is None (default), a matrix of dimension: (number of timepoints) x (number of voxels) is returned. If an integer value is given, that value is used to index into the timespan, and that time point is returned - as a 1D array with size (number of voxel). - :type timepoints: int (default None) + as a 1D array with size (number of voxel). Defaults to None + :type timepoints: int :param concentration: Whether or not the species is a concentration (True) or population (False) If concentration is False (default), the integer, raw, trajectory data is returned. - If set to True, the concentration (=copy_number/volume) is returned. - :type concentration: bool (default False) + If set to True, the concentration (=copy_number/volume) is returned. Defaults to False + :type concentration: bool - :param deterministic: Whether or not the species is deterministic (True) or stochastic (False) - :type deterministic: bool (default False) + :param deterministic: Whether or not the species is deterministic (True) or stochastic (False). Defaults to False + :type deterministic: bool - :param debug: Whether or not debug information should be printed - :type debug: bool (default False) + :param debug: Whether or not debug information should be printed. Defaults to False + :type debug: bool :returns: A numpy array containing population/concentration values for target species across specified timepoints. Defaults to all timepoints. @@ -340,7 +340,7 @@ def get_species(self, species, timepoints=None, concentration=False, determinist """ num_voxel = self.model.domain.get_num_voxels() - if isinstance(species,str): + if isinstance(species, str): spec_name = species else: spec_name = species.name @@ -404,11 +404,13 @@ def plot_species(self, species, t_ndx=None, t_val=None, concentration=False, :param deterministic: Whether or not to plot the data as deterministic :type deterministic: bool - :param width: Width in pixels of output plot box - :type width: int (default 500) + :param width: Width in pixels of output plot box or for matplotlib inches of output plot box. \ + Defaults to 500 (Plotly) or 6.4 (MatPlotLib) + :type width: int - :param height: Height in pixels of output plot box - :type height: int (default 500) + :param height: Height in pixels of output plot box or for matplotlib inches of output plot box. \ + Defaults to 500 (Plotly) or 4.8 (MatPlotLib) + :type height: int :param colormap: colormap to use. Plotly specification, valid values: "Plotly3","Jet","Blues","YlOrRd", "PuRd","BuGn","YlOrBr","PuBuGn","BuPu","YlGnBu", "PuBu","GnBu","YlGn","Greens","Reds", @@ -450,7 +452,7 @@ def plot_species(self, species, t_ndx=None, t_val=None, concentration=False, :returns: A dictionary containing data for a plotly figure of species output trajectory :rtype: dict - :raises ResultsError: unable to plot species for given time + :raises ResultError: unable to plot species for given time """ time_index_list = self.get_timespan() @@ -594,7 +596,7 @@ def get_property(self, property_name, timepoints=None): :returns: a numpy array of target property values across timepoints, defaults to all timepoints. :rtype: numpy.ndarray - :raises ResultsError: Could not get data for given timepoints. + :raises ResultError: Could not get data for given timepoints. """ l_time = len(self.get_timespan()) - 1 @@ -646,11 +648,13 @@ def plot_property(self, property_name, t_ndx=None, t_val=None, p_ndx=0, width=No :param p_ndx: The property index of the results to be plotted :type p_ndx: int - :param width: Width in pixels of output plot box or for matplotlib inches of output plot box - :type width: int (default 500) + :param width: Width in pixels of output plot box or for matplotlib inches of output plot box. \ + Defaults to 500 (Plotly) or 6.4 (MatPlotLib) + :type width: int - :param height: Height in pixels of output plot box or for matplotlib inches of output plot box - :type height: int (default 500) + :param height: Height in pixels of output plot box or for matplotlib inches of output plot box. \ + Defaults to 500 (Plotly) or 4.8 (MatPlotLib) + :type height: int :param colormap: colormap to use. Plotly specification, valid values: "Plotly3","Jet","Blues","YlOrRd", "PuRd","BuGn","YlOrBr","PuBuGn","BuPu","YlGnBu", "PuBu","GnBu","YlGn","Greens","Reds", @@ -842,9 +846,9 @@ def export_to_csv(self, folder_name=None): The columns of modelname_mesh.csv are: 'Voxel ID', 'X', 'Y', 'Z', 'Type', 'Volume', 'Mass', 'Viscosity' The columns of modelname_species_S.csv: 'Time', 'Voxel 0', Voxel 1', ... 'Voxel N'. - :type folder_name: str (default current working directory) - :param folder_name: A path where the vtk files will be written, created if non-existant. - If no path is provided current working directory is used. + :type folder_name: str + :param folder_name: A path where the vtk files will be written, created if non-existant. \ + Defaults current working directory """ if not folder_name: folder_name = os.path.abspath(os.getcwd()) @@ -873,7 +877,7 @@ def export_to_csv(self, folder_name=None): for voxel in range(num_vox): writer.writerow([voxel] + data[:,voxel].tolist()) - def export_to_vtk(self, timespan, folder_name=None): + def __export_to_vtk(self, timespan, folder_name=None): """ Write the trajectory to a collection of vtk files. The exported data is #molecules/volume, where the volume unit is implicit from the mesh dimension. From aaa16063c78be6444f3d93668fc20f79b532fbd1 Mon Sep 17 00:00:00 2001 From: Bryan Rumsey Date: Wed, 2 Mar 2022 11:35:30 -0500 Subject: [PATCH 18/30] Updated docs html files. --- .../.doctrees/classes/spatialpy.core.doctree | Bin 1458314 -> 1446171 bytes docs/build/html/.doctrees/environment.pickle | Bin 452584 -> 452444 bytes .../html/_modules/spatialpy/core/result.html | 54 +++++++------ docs/build/html/classes/spatialpy.core.html | 74 +++++++----------- docs/build/html/genindex.html | 6 -- docs/build/html/objects.inv | Bin 2622 -> 2612 bytes docs/build/html/searchindex.js | 2 +- 7 files changed, 58 insertions(+), 78 deletions(-) diff --git a/docs/build/html/.doctrees/classes/spatialpy.core.doctree b/docs/build/html/.doctrees/classes/spatialpy.core.doctree index 11541e34bdb14c03a2441f7db5c9240219b7d037..4e2cff48587a27bda8d8722f798f1eec70b92cac 100644 GIT binary patch delta 162156 zcmc${d7Mwx{|D}#neo2&{hrm#2xE*9O|~(UrBE1Avd$=xvKBG68EMfXib`bZjZ+kc zB4nA+*uvO%#!|{I71>iF%lw|N*XzEw;`5!y?~mWlAI_X}&uc%+>-9S4-uH*Yo|!VE z!_eWza5X$=c<}I$;l-CYnuO_;`yCbZj=xIuSIwsBf|TG#Rg-D@*!zw*^?(G2Q#<}H zF;;b%=FW|;tDc?a&dIH=`c2cR^@6y1xlB#<#x#Aogpp29PYkQB+D~)me^WiI$+Tj{ zdX?=J)GI#o>1jISdE*(KQW2ECx?UpQXrfOFqCv6Ri3rq9Ymb=@Od-S<@M-^AC>BWj=HgMv2XkBO{F@^~7|YI8rquJw2*Fuk855c!8eQQ(dR)oG7EZdJbh3$MeRU()`+V zvZnDN)ynDeOO1GAx*G;HKH-*0rHq;ieaNPOjLIrrJ?shaV;l9^>0YBoPArTu^`4mM z`@nEOk(cGrn@uVy)W;l>W*?j z=1yvl%iK;Z#Jf}SV)WYW&W0pYGqq*9?lvc+k8zwI>P3#Ad#oeWKRy%Oq;4(VDsRyP zj>?8{Lpr2r;~w?*ba%m%rK!kR-delwb5wUPx^5a_I=hM^K~Jw7^l*t1IZ&`Gq*$>J zGPecc&&@zK%w*8~^il*mtl51i@?Nd&*lSRI{1YkaPatkwSzVq!F~g{!w>{_>p`OTb z8_R2|ra4TqX^u9=8?9C69G&*QQPX%ljK^ z&@~zhnnu-47l`X_zo^RU!gP0b|H|qJ)ZPZwpJ1*HL9Nsm;NW>x)5-xIQPTLbK}mUq z^&N4BTAD-CDmf@F^Bcj~HN$WjIXbbvqY7ad_M*{F?XxlL@nOIW(+e`AA5*9CY=g75 zs+6NsUx9gSwHc=voja?iX`JxGyvK_~xxYL?vftNV$@g$UcwI^y^LZcp~8S2v+yi!h_AyaNVN=!MGi!#ww&zQjr=$aX_fX<&m^G)rX!3(G{ zpV&)qFZw1z0q*c^M?dwepgSpWf7);-XXs(y8MO_ibDwaOqls#q^uh*>pHWPgJ{{dx z-)e-#Eb@4~x@RWO^vcw|9%=&ppck4t&@>0t?3RvpMmj&y$Fq#Gs-?ho7TA_HY+oNN zIsn!f&kX2A&lnM5L&&D0(Qz<{z4k}yEv+5Z)es1cC1Nn_|KBCTJ=3>Dj3X?vM7%Kr zOGHxM)HaU6hM9vtSR$}1JYg>p=^2jq)Mqngby&jfvO45a*Z52@L90W=D=%gBc)oX! zmv~bs|E5k%v#gDN2m#(9bAVY*6ohJ+cP$?mq~^;{Uvr z?Hw%*Y+#sfa(yg3%fW<>iDRbSp9j+=zU=U!1}YAMj1UhDyF94 z_7i%n2tD=-op#odt{-jdNOpH^;!s}(NIds05(AnfMnMvf{g1?>uj*k>Mwio<9*^Fb z5Wr6P$GY`>$xmYco~7^96Jmo5i9Om+>SnM}W|O-$iI3AfZu^(1-sk^m8P1v+{x5{6}EvRpySpAT0PBwic7g zU)bX9Ug**NI6xFoXmP3 z*yPbHyZgGCyu0Vll-+&7Oy1p%4@9u(e;5vH1hK;l9eKcc{X0g_F^o^CLpAr>=R(w^ zFB!#%FTE&edpGj@P%H^R!CSnsgPvFZxLKIGj)jdjdCvm3j<}6$BvZ;s7y0hkkXYr;U6g;b#KGrpQltM#VbCqh$ zVxcbiX!ExI*-YNn-|*jrcw2`IysclSMVq(vRz#7v^;WZZTi4juo9Iq&IQ}+z>ZnYQ zYu$a8*R_5~$Gzof8P*+;_7*n??0L30k0%^Vy(~StM|5e`eHL$coo3x>!y5%W9-nv+ z;gk)p%PiXP^y59F*O;GDb6ln-eyX|CCxv)jV&=u=;Gk*3ES)njq=)e}b*rviEg{PSDVxSRwkG1IEZ}oHdJmKI4!dhJ%3^$nVqN^>9fV>YB^hX`_S=}>WgxKQO}soKG*BB#pmiZn|-bi zW=qhDDtSHv6RR8Dax_#qv)PCHTmTo^fT)tQ_T6lq?KCrh6>vc35XSrKK_A2vz!u}NmM502L3l$oYnUolC?SIleauY^}riDc4O!Yisa zV8OSly=o*d4+~6d8wOQ^dCrDG)rQ&gv7?iESzxjS=3N^GRe~9B!=P%zG+d!ttGNO* zOJJ7SFtffQ(WC5jA=UENV8* z0pT#?5I?Zj1#Gl{y*@{57tuVbj4@e&UuR&p`rCg;cQY3IK`#{Oe1Tp#N0*N>Q{hfB z#|wRc4_^o1X+OYI0(g}HgHFvUrZe7;PEo;g#pEaN3|80)&kSjhG{*Qm8$yNKzM8eWvx+J>U{xvSAZtkK=0Z>Gi@L| zwt*;eP^$!JnE-9GftJ}o2W=ocwt+aSP#5#vUK3i(_O7L+^o6m}NvbZU9m0iLv+uNe z7S8ppo-GKAte$md^Xgf5j$^hNHV@5lnJ#TiwxfmJ6G9v6>2YRV-Sq>9y?UDSBzP## z-6(h{WfEX~COD$lL4P{WF~+DbkJ)*8a31>-C^D9}k#=^FTg{Wupe^A2Lj%V=StkKN zegq2m5h(P=`3UY&rJcVPkYeXgoySRqO$!_YjgfvdM+nUk^TaQo>PL3UJl;!tpg?9} z`dx?v0TBm+{Psaf$UuF+$nhGgO#Gby;=6N^LHb@OTxu6q$`IOnA;t!yt#Q_m_UQoH z=kG#$uh2$8f&)*N`^~i|nfC4g+Rc|bUQzdc&5?h?*R1D+uO*xE(AS(zQMK_D2?1N) zdSBmJ*#IVaQ4mew=$r>-qe{vy3(Q_+BNX^^lj>jTC5nt{r=*m>KfUjOL45~TE#vu*HHk4uIy!a!QuwsR=hJXCitDIv9jSWH=-_fj0zIit zv7}K}r!96=^NiZW`F9?*z(M1o_3vi-~f@aH;^YxhTRcERa)${CZi+b<{4$D&w+{JuhU>6WJ7HHP-FA1O3s}%K>gn8kN0I`H)E4GpltfoO2*kW5>C^)db(9~?_l4&B z3uN&}>X&5wJb>nmyU+wI(R`n22ED(am`VC z`WF3%7v9mZMxsvKiM1k8ciRR914p-Z=4U9GW;tLM1t%VJoKgdYUVow2e<9mby>HVS z9zbv8UFh`}di{kSaC~}Lty4frGWPM%W8DsU+PtCG2+fs3b0ugY-=y~2Gz$V~et#F5 zD~0Atp}BHlUg>AdWJ3Wb5nbjXs*RKCVcqgK$NMUD5o^|5#F{l13DrcD@8h7S9G?0# zd+(wUDUXx)=OPJ) zFAK`!K9qd;k&r74mCf~MNLRh$(CWclwo@$>Y!Jzf)J4xbd6Ox*a^QjTvp*ffRZ1@F zrFt%lQWkV~bVm z;vG~eI1m^+BEKqtf1pc$0DdEYe+XcSZv+rk8<3Aqs(!;fBz?nyQe7J+=^F`p9=Cz; z7(hWexpHQrx(d{D-)Q40r)@j`E=O%GKH%yMl&RBawP zgx@AGn*`>d4TCDd{A$CXYQt~{Unnp)1SV{;=mJ&1=zW)v49O~AOQCK9aSUH;F)Jfw zF)O374V1E2V)*pMqCq^ifjEZmEkHd4=v5mCRpM@h4TGu;LovLXDln4;=4%^f@?z27 z3L6NIZ6I#|ul5P#Zidw1HyjBc|58?=O4KgefT-Gl6um2R35jI{>-=CdS(RKOx(Ht4 zi`-SkB_dn!5`ttyQ|PW95zx8<+QJ5{yM)7b^^6Tw*9S#$yBa7^{RL{MKn3+*V#n-b zY_R?eM&pCy@7V%1Q=pdGv}P_5rL4DsW_p1Tf48tEmMVsG9Q@Npa%d%WSa2K^9KYK* z4%#@b**Fe*aqvN2l+JLO^>El-U}1MipjtW7YS>aHjodi3@Bw0&jzS+|nPc)Xv@%Ja zZaPM}Uw$)LjlsM_NInva%YRSso?7Y)$)^(%3CTz0a!5X)jJe$GjxO+}yApA~Gkz>0 z%~YqQy5M^8=)7BTW>dq=mYxH+r_O3zJSMC^HI-`-1O#?pJtf}EH{X`7Z~eDxap}re z2gb`|zB(|5AmTG29tZfJB$#g?drCa%6uLR^)l%LmQPAmMzC7U&fAvxc@z(=`|Dycd zQVH<^LR%IJ+Oob{s&fu%h{;0%~I5N&o{K=07e}SnNl? zWw9Uqmg9UqA;K&t#OK|GI1mtV6d)cn?%QIze{{?lsuT5(0;mtDZjQqR1y(N$enhArv8iA6 zqkbiT`n9`I2Lhswf;K zo;^@>?k*!aD(}t%1qg^;6ks=|3VQwjopk^!q^cxH<{c%*|GTV%@rIwOUKLfnYO89T zpQ=9csEX&*$9GW`5Rj@+kg8t&ud4n(NU*k$arMlItp8MREpwkpeX z!6pM&*Q%QdbckrLT-BD{aX=bTI;WypS^){oA0XlM1FDc2Hzt6kif7rR^n>ayL^}&n z6p&WEx=e0c4f;3L!FQqBS*QY>sCHf^nFmyf>a!lIoOw_Sh2lJ+I1i*Ka@$~&%>OsZ zO?M#)XPX2C8X^faoOwW%NPguZ>CHT-n?m-QkiE7{g4C$x61s&i_um$xm)}{r*Muf; z5KZ9VtOKe<^Dhrg&N`?kfRXO8EoW;sT`tz_Y}0!-fL_--(<5M-GAKYVsOfS$VR=o#L7@4r-DR{aA>8Y!jVl6aC6VROcSXl6DuO04Aa+NJ!w|Yy-*@M~qY>fF@@f zeioX?mg~#con;K0<~5t&A?ijv~+#(0Xb&z>oduehTz6@W=j6hyPy3Oo8oorqQjYF4ga^#7Jn9V}D_+f+Zc zsg4bxI^ix<0Zdd;5LMvd=pR)g`ih4r4_l7@w+YQnLUWT%^VkZVALOcK1du#&7m|P_ zk|>BIP;l^%G9$#53KWpjm_eRvf;;_YuwL6-In=bJ6#E)uxLGfnpj>LyQb`01m7e>MHFbU)^Io0xG;WMk00c$Qz`)6Xr)&%vUJRTJ=#6Gd z27JHNFBxFFgE)Bvz6x{?!|3jZI>U#WlLF&x)E{|KQEyRY?-e1>~Ll(VUfXfg)#RF&)|_rjN>5Nj5X4`f>A-aD$AaSDTHt1UcZ4 zbIM?pe>}h`1Bl8ggYU@+=9IzjM4nRyzpwPA4D_7d<}DSpN-_q8D|LQ}kY;*Z+nBYg z%qkAwO6rUbFd*G~EU}7jAgTxWiAr9@@oJ-064)iLl8CAGDv9avn4&=dam-Rkij$Zn zYLzc$(aZXqRaN0i4qEw;sZoAX_bsHH}#Is1RvQ0%{-O6iYNX2RXpkEqZ8c>-n2^gs`aFR zsvoaNDX|4${uX=-lG9aW0Ma}_fq4)#e^oIZ_gqXns*@e(vH~?<37)-*Ct&NRqCZrH zLiL7Fy#Z>pUB!GSRHJm-b7nPl2%T_ZSn|6&QwCJjcg3Uio;A4ZQB6PJb}Vy#RC#?~X2KlaZ|2`C)=!Ku8lD#1>}ZE+?ua*R=q-IK_uE2O2DzE-NcH^hlF) z9C)Pr&f~rl<$na?qI}NtefNeLY^a>?Jo9@haVjW`k94=^;Z^_xruWmh9m5xB%xnAxYXcrM@c zpC>$*L5An@AsT)>m)j9Rp3Ci4d*`xC*LMV0(tX}FA1&FPI&jzLyb3aqwO9 zra1`Bm@flaF5Kjg)F~~jU^QU1ju?Sp6y>7K;?4A;DdxkvO_`D*c@5t)2O8#h0UPT9 zi_ux#t%lxiCIIu0A^6ZRr%TVNqBu?td`?Z}T7-Zuy5-y`9&z}jgpSHa>SWR96~laeGsD;D%L~m|qHwIFvxX7Rz4+yjz;5o0X^r&S zMP@2>&3z^~PF)0Hq;$@#)|WpwGfJPfg{BvC!q>1)>BXFLt2v1??J?&IDs7F<&n{k8 zH~0owo0e;In^k6-(OM{`Oe>zOny=B>k0HI=VU1qH5Jd8)K;jwA4Y2txQUvBPfq}zRJK1pM77>n(6qdYTCeX>T3Gz0vQ zk>(N)xSI4sXh}6=4H-#ITjK>y)HNoXF|w-xBU`AJObz_7VKqb84PeCB!xz+$et^cS0}?%DuzO@S83Tro4v$H`pd_Xjo8 zk%vNC=u0!r1l4Sh}l}M^_eYat=~-gdacZ)1wxU{ zHWysbOj>4}?Q_x+n+-(SY@Zzo9jkzcjkV23W-9c7Y^n~MXZAMtQF~lw0b#an)FPlO z+o&Zqd9>iO(P=b`jn2?tY@;)QHfjNp$wm*B4vW-_zc%ZWp)P%GE>YKP^C(=7quJ!t z#)lsBsC+h0;ackYsTd`Jo{Lcmee9IWXQKpNTU$(Ll?|(e>@{^0s|57(Sp}5YDurT| z>$X*Z!fTas`ChBs^s`DvzMoZ|%V(?TQ)A3X9r>XduGugh^TjZ|@_9amwE`+J4Dpy< zK5VA~8aB%7J}RxD1v1K4OU!=eyVMS^l0-=jyFt>*2thBl$4!3)`0Visk>VxpQ~HbT z@o9d*oVj7!EtvuNY%eBXRA*7;c`be+tXa6N9C*+MzjiA74SV~ei?PaSbwZ~bosfaOJ7=RCK?@ds)hIHkfjl#N+6vE<=bv$)~JD^E-I~ts*K3d1|SYRigbvi(F@(a3v z+?mpNcX#}3vu$Yt_ZVjgVHe{(w~mdob81Xem1`R(Wm-&SwF+1^niY)IVw@GWakhwY z!sY{o7zc=T=VxQ%^@>gA7{bBk`N>CO0obKEGj6l_qV+Si$7P=InCIDmer%rSsL3O{ z&pg-AEatgRf3bP42b$+usEW)}ajV&i%#;6EiKWV1FZ)Z0^|FAK(W!H=@{rGFl+fLl zAetEWWN@g8SWo>Y%PLlbIwiQXMpX!nSnp*gSzlUcmL!ZH?J$#!N4S%|^o6Pv=HF|* z&lc#)wuo5IGsRjjGsOf>k1>)7zZfGFka%-|d^Dq*PW;B~q57_uIntkKwNRPsWsbbI zUgk(A0E-z+J$^Cf$gNf-J_anrN(%eXhq*I^w{1{bUus>VwdtmZahc;q8|;C*0{XKp zLa9k?k-Xk#i?7fuwwObIu`TAT=c!`aPMS*_-2Q4?S!W;Tyy#l)f?5Rj&;)Q3iq|+UZ{xE;zUu zxPh0h0UN{-W1!Vb>fKQVnkR#AD=ZqlC6=jkyozL z0H-}3;9heyAnam}vKxKo$lfRuh0KBP6)f6l-m8Xe)Z?d_&DHB0W&Qd9+#;|H>qlx} zcbNF%ZKU!!(`{svPzgFEILr*2>?6}3T%0q9TQjLCE;9!_@+Kb_(1lm7veYCNXt2>| zfn{ixS+bn|Vhbz}v_Kq)kOhv+h>6kPUN9Sy892sFpBnSH&iXPYT(6xO6Q{P=R@rM? z=mo*-WUj3N=JNVwo?~v`|S2Hc|q*s+(J#_lI2`5WAv<+QQ_*AZL5I(K3jni zw$*O2)mGb9gvv8@E)ZI=)ef=M?ki?*+_OwOh?VBpS23-Es%bs zKQ_}2Y7#SD@H0~{qQ#3@Z~BYP)O%CFMA>eesna#{39?YPf6PyGqw7cjytYYZ%RAr& z3z_L!^juR$kSKgLv4^MQ+IOF$o=1wfK5 z@b)I2ErS70vjyN@3rr>KVu3d|`S$q&vOo`YcoXmQ>Zq;zpKRTqX5G7Xk`{QLyry%1 z#6CaoNX$5+K-B+_5A!ZjKbEaNR?ueFzOmWX{u=?^So?2MlSg9jB#A8rNYQ?2`ir$+ zT1Wk2#(GjPZ$LnrBex98<7ti1joQVgsQWjI@*mhN%CEQCt98W^yBs4<&m4t%&-=D;U9=OniFw@4pshx_%3lNdd3L#wV{?7GL83LBc^%`wigRRBX9+#Qxu}Rf{eq@u-YSd(luk%lt^<%f7 zMa;34{$g`%Wpj9(t*W})1#Ij$I>koorY@@i=0je?&aw3k{mN-Xy~ie-_o=gfhWJ?w zacr|jug~{sr_=WfuLD}xHVY+>Um9FmH z!gm%Ew#X&YxGnr$p#Tt{)qt6;c1*1HqiwZ=;K8$e6%s#UwZmk!`}MRJVtc8lwutE> zN?0vbmo2(e39G5=M+6Kx$JaJJT4cw%GEfOKT7sV~O1 zv)-fjxXj^O>=|^(#|8SawGR6!img?03X$QZ>ofX`t@YU!Ub@QJzOmrJ#}s<>N}vxV zBzBr`f97apeq*gu)_fs4Z;Ly-AVqz(Mc*!I^>$5E_Km{P@p{+@2D^s~Qr4 zF7D7l&GhjFG0A#i9FpqLx(^NOM|t>zN3!p!F3ETF z;pDsZoAmkRUwtU^4z5T`l6k)Z;gES(H*t++gR`<8_gGM{UKAA@5`G&P$byuAM=#F5 zU)f^k-))kVe+N3wzgJGQI+Db>->52jVWKrtRoyDSXiaT|z!PI%wCYw~MUuAavlXoG zjb`*HEi7p(B#>$I_*QrB(O6xnqLpMkO-~c_(8ogV3-#}zdBCPGiW!AhZ3s7iY^B#$ zIqJls+jg__%`e@HPz5ZTOm)d1|k)uuE9j z#Vojoc6m_!W^-@~9dJ2h0g5)&tDY$;A3#WapddbWZPP=WSnpAl_}Cu6$Fp^;IVxd0 zt0Hc@oGr#}N6u({%mI8*!>DTU_sdkN?aVz{qQa!^F{XNT8(+HU$t^nlipx~bLtnjv zD+eWRE2g7V$x?Y8H^#Iutmn3~ayo9e7sT#ljB+iUuo>*gbGTA{YYc2AbNE<&>l5|X zcHS`5;O%*HiyyMd2<*{xMc#5+K$b^H;5lI1{3#X)F5z<3jp51 zTV+D#B$z9chHs{(zg7T=XCRLvgffs{0YW5J{%UA_Zfy}6Hn9vTdc}?yt=4as8vutu zfIhl)kov@Dj@pjP==k^oTlkV__S|;925@dWU$IpoJ7j>V9WuZiI|2vTI$#oq!JcED z0R}u|SQKPfpd-T?=X_>5vz@G>4uT~*CqJ-V^Eq^*9m3)xAmqnl!^fcZ4m;TR?NDH- zmD$1P&s94Xm8Faw@;(a6*^gU&RmKh;WvzEGBaeWv%?KSxQf+tgF4?t%RTT+C>LI5w0bO)r zYH&$?+Yvk1cvY~_H_2Yw$=l=zX`ww1Ewn|srG@r5w9p}wzNR|37l2mRGf zd8Gj+B}NGxoosO4;R2b;>1Xu`%6xvOxQ!2hHg>k^JN4zP;D?ue2VLAzv6i`pf7+ErkXxeU_0r-eUM zq9Ki)hxNrS7(4&$6o2yGU0zau!%*;)@)~xv5)4&k7mb6`dT=*utg5-|U;a{9ZNPc_ zr7AkRnN@*58G}m{@2bC{HEe@z07NTPOCmu+(H*7M`t0*oZvJ2xx^uffXvK=dNP9Z)|Kks?*-{JgDHJV%J@~ z2X5_Y4OGjp?LFwMWeEKxyX4B!PLy;zavQkAsx$!wHo)CQ$_>I!yLdBeNljJM6A&8v7-=u##mDu`Olv6qmd&Y6ALy*=ZrPlYc2i8+ zjEwo1Zj=yf>VM*5d#c8}d8=x$TehltyLqch+U=c1b@8O1HO)xUX`Qe`RoLwrgpn0! z@X0Xjh5nvhsV>3V?v>8(WZkdN^|$IGUVAR0Q5I`7S%b5wI_&YQvw-)*)4Jy2y98F4zp74PEX9}%IpacFuYQ1J>vm+KCY=Mt+woz>s!0K2Svr*Rfyz0I=8ow~&@1Q(>e{2W5R|94fI9aa7?UB<$ z49rns<48e5Xa?H*S$%cn7%M_gyFb>UC%<8pMt5EeNA2;B!+U+>a5=y|<8TI{l5zOa z9$pT+ylJ&DH&b(5CepRA3V*{jEGUTAxaKfi8Wk>L*bs+wBJeiq8Z~JTMy# zv3lSeBVyM+Dn^|a1^%!{Jc#{!$Lj^n7D(-5$O%_YpDY(HR@38m>{$SF5Ult{A5+{l(5n+k!yj zG6v&G4Vu5$XNYmwpTdhN1BsqlAU_HH`^(HmDbm4HTwDF=& z>yP!Jd%>OTG7f+qy9_2IVwV>R*e)AJSdUv%sW~q5vjXq>FqE)|=}Wa^L)52`2u4x4 zwni6F@A%BY1!9o3bz+;Vbqq=qaZQ2Fei-44t*?1VBhvR`kK4dUyueZ2gF2|c(CjhC zd#Xg-CwP2Eb6mE~aY4*+#D|{e%crCP@fTkp3bvvO*d#%F#Uw#{JtnD4f3Zm_?+rA` zuu*>VC8d6B2OW_OABexB+yHp!Odhi(O<$~sWxVUdv5mtT0GUlN9X;%MQ$sb_%d@5K z-aA?4MF4rMl1>Q3D)slWRn9#U`>6RcHOFPXq_YQEHFSCfmF7qJQiIsyDhuRjx_qE> zU$SahBM2Zq6HM?-Sv$^poIdq8$Vyd{_VOqmfs+Fo#qaE8tKdBz23+C=#2iV|Ez@Fa z;tPLxR9Qaf*6L7jbld=Rx}#~f?3J0aQD`jj(cqbqwU=i~eWD>|N#Dz6`Dw4t-%~sx zmhkc_R&1ZgD#i8%T4nkKY|EalwMG*-3Z?hSM2X#p@8{x%9&GZ6PH!69Dl8UQY(hzR zNam=ltz;FukIfOe?@s1u03eS!k_dsAqr^To$FGmYrdlnjIWDvLKA9xxkH>zb9^VJQ z=@C6{LsTWzWgjm%=5y39J~K(@zilPyFPp`VQm^jgeRL2=w+wkguRRnURdq1B`EQ$# zQTX=50Ck!OILd=YR&pDr#zOo+CV_OZ4{ zLl?9zjV3y*?iKVGPl6TyQg`I%)|*~+FZ9Ufke|%<@{WK+F_34b*GAeDqZaCA5 zH`4^yqtcyD14FA&le|ORP+uNtRnV6%8>UL$Ptzs|p_5;Ss{7p;IrnLP7Xsu->pT1f zhSp2!tesJbCHnxYsJt)z#VYT+-#fxNPOU)!gcuC56UC_$5ExLLI)R*7HrQY<^k5qr z5gW&;dv@qiUs|ip4~hS{%nw*3cNQ*T^401Q`}Ocy*86J2{=Bf+)~|*+Tl#(Jr^ae? ztp3!2Q@G~0(qV~DH(`sZNkUX~lPlC4q#JHlkU983)$T@7D#-ex)IDICqSPO$Zxz2h z?jhiysYiKSbmCBT&we{pwXspC3T)|%tZBsKGj1{eN__}=)fo7u_SM&EU^x$C(swaZqW1qziiST$mp{a zs3IIyJr2mbCa6*{nRY-MWmL3YR#G)kLj>@30UT`uqDp|1Z9r6Qz+ua*47FHb779$h z4TCDd?6zT0^%2WZrv>Jez+AOqP^EY|SQpH&175WFz@qh~l~x1z#{8H$gLxC1T(cgyxEjEg}Ypjm==8%_xcLjQ)4;n25 zJ<|t`790A~TC1;t*M>+sVt<)HBiBnU#6DUsmxy2k&lGF%7Sh5_SP^FW|ie95n)e)d!9i8=Ny20RxxMyt=rYHG?v1WBk)Cy(nLAdOG}6sHyPm#un>KWgOtWjq>km?hka-)mSb4fpQe|dhaZRO?;Jg@eh)x z$p1m|6kq;;<%stwAfh~lJG1f>LcoVz`|#9WwrBsqv)|pS%3tPTYL3hNiSSm}LlcZ( z_ZwBG1kL`TnC`eGwv0~S7aNgRZI?CIF#nLQm#Awsz3_X>3_C4I9l&tz2c59T8m5XL zbXzrAn#B(?UQ=g$3x4^YncbP*^awu4Sped>Jol zJw^yA#~tyQgWCCpbvA-peUS1@?rINb;S7m8GH>O7WZugED7@WTi<|o4uOvnASfsSQvOG9SW%Dt)r!*%4_hVNV;e-HQTXlrFMa_-d9iqKguIyWtB)VI zvW&O=7=A+-enS{Wr0)^>9yLCIXB5OUij<}= zpb#EoboMs?fq=)P*nI&!>c_H-+R~8+Lh4UE5K@2QfnYTE;7G_7=%zo*`agUl2 z!0hazG7F5vEDBO65QEtlsAMK_HXEQ(bR#B51~56Y)gUBoxFc)yH(~O(pCqMN?2x1s zZv`-@4i!)PtUbG?tS|E(^{ChRpx-!ZMY_8zZ=|l;B3ua&;aX8e06K^u=*BjaKXl7KaG&7FA)R{D zYKnv9j1yLM*7A`t3tIVY?qaZ7`d z&@Xm8dDwrpb~s$b@%6~ziD^!9Wxa?%f!=fOy1}>?D=;<7F-QRZVMWL9PT!JjXn*`V z?Or3zz*nzH0mSAEN1EfQ89%y0)Z`Z!lEa*{)aWCem(vF?;&_aIa3O~}#%K0DLV1WJ zJw4pH5MSV8DEh&LZ;o(!E(fniQF?Cb5lPSOqaOB8Htg|YK;kq>zv)(~_*gui+c~;% zDzrr0D0K2T=K;>qsUwo3J0XPj_y`q@$5G1>PG7Vq5|V>}f+z=Z6@pOG=qlmm97Nfp z_=__bWsgb*1AabdFpPj0o1p(VC>e}D$c1C*%3kQoHZ-F8Tso(~+tH=`ez9Ab4L3><(p1XBpW>K^qA z!0@b1Dd!jJ;iEi|_@(KOkIG#`erfu1bfA}}rwMru!=@aSFl^3I3Bx`jO>!6pbVKQ- zX`tW`Y$Yi`hU!?TiS8TnOVb;u9p5q~r1o2$^#i){rQL_ANyb3uqnyIx7pH$jvzYKF z`ilp^Phvug4HlnSAIhU!yPM;kPa#R8$DemqbB|r)a^JI{pSofj>;_S{4R(bMrY;`U zt&>8Uxo<6P=AOSWob96`@lFoCs&>)GPQ)=v+_Y23i#acc50G3bzE z9)kiA$JMKsj#faxM*SL3ZKDo_@MP4=NzTF6QfkLF4)8@MyN8mTqZK;PCk@q>V{!tv zk^01EMu0foH+rbDv$HyKj9ro+kFiUFg1(UT$1(Q8jElk^{RCpwKZz~BJ8k}K2COi^ zLH-B|TGxMsYR82{yBDo^l$yx3_@1!ZAJ5qc)@Y$y2mR2m0#(;1ET?@=TjjVvyY6bM zJ~o=lWA+>yALlLHaa`^nJ&xW*;;+GRxqpPRMzZs1)!;a9IrWe8%3I~Qmmxm1fDTiK zIGgErYB--Ih1!Gp30y(}r%lvYkVhWe9k!vRu952OiSGcA1e}hVbzHLGGmdi>d@RW$ zGb-n}J(M~E0WS<6;#aq5*C|hG=1XRK(A~4^Sowsw>-U|I7`^I=KqDLkE?JyNE=c2v(SZt%j%sYfN1}w6 zquK(`LylSo=;0Da0~Bqr>yd}^KQOU}qk4N$@$dry8h$9A+18Q@ax214u#IopHoksb zE*5-pLgvRraPKGi@$FO8oD(#k=s0thz)nP88nA%n1 zW*WqF2kxBzBC7L;hLkdn%g*c|L&?7Gg)VDDV+lXe$VrC=-p^Us-@vGPQg-3mCnW*@ z$VrS7I{{z&q}&rbDL`3|Vnu9wQWoRLb5xeStzIy>|ydEzgQDkPm1J-Fh4*2ecl}8=oGM9pJeu*qO0D!mJ z8q_34%{b}XYImSnY_gO7VvFt+n|QX`WN5Fs^8+#s-DY<;KfFNwY8&H%pD}(FW1Kwc z9)D!CI6gu8a&4?r^nsX@KKkls?5*|ioke;mH}wLZ%HBGywR1Y|A~6Ew-Hm&7L8>!Z zCH(B}e7uFx(D$Ie=Yd|c$Y_DzpkTC@mSN}jKx-Mvks02ycm`V23$HO$@zHT zXLq?@Y9KGnEqpTILE+x>OADL{c!AFgaG?(vEpQ%mn|d~N)P=hHwck3b`%baLQQ;Ij z9JNk~!+|O}9F6gdPV|G=sM-v37C%tc_@r{Lpv>r>WyGI6snf<-W$-hu-Vv|x?DJ=w z!__ev=Im*_d`dixp{Ll>c;}Q1@FAzfZ5(|{yo{_}8Zc_qqZwkLsy-YLDuH zr({&?=bS%Vv#C8U^Gp2DDZC8#?enjzfe;Wk23O!s0=hkxM?K;*)z5r!-aX*rYwEx$ z-aQIVv5QfFj&ynKca)T(fhOp_;5p*Q&%N;HFJR{Y8gegC(E1K+^}0FxQk53?U7&&R zb^9s4E|}Ea*+bp?3sX<{g{dd}A{VM3`b9Rb+IWhcrVuRRx?sIuipT`eM7@u1l%?Bf zP#^ye_OGsXy^}v$-Dr;y8FyEK0L$Myd)14J1q8z+Ad0bt_{Gki&Ijmk60$5r@d>%7 zCxrY$gq$uyPPc_zZe#q`pPQ;Hiz+10u#g2d8q`_H6L$TmKidC8NWij?*Sxq`NH9!7 zqJWU@@EZ@%pCsew0WuEmks=UBRe4rrx1My&Gyg*e_{xm;ED(KEZ zMknKnA2%0;n~OF#rcQm{Sxbfd=C63?Z$(r*kP#y&h!NoI6kzdlKo;5{pP%v5?00A6CrUkV?0ux1_PU{sPt(Uyd+V7WIjh37 z>}ywrt|&r{{uxu7Bh*u8d=YA60v12G`e}B$v&J}Iw*EjDI1HE0NLm7)L>;cqLnKN| zg#0cpgZiCa2GFEmS(ub)ys66n&YO1G-+6+U{arTg+P_O$;sKpD4EY&OOFRf*f4|`z z2#VuQeELP4K*GCOYa2;f9rcE@u|D*=vonxQ3n~RRX$?a` zYZwTKzD)9~7h<;Jr}A$fPPM2YG9A5ho~!6CfR28+t*N zIJxHGga*L9`i(mHnpmUBM!aeXVmL2tc8&)^vvaZxbhTOO6u?UNqOt;P#0m;x1xTxZ z<(xoOVx=ia`AjssE{5tS!o&n&VuH=Ye4B~60Zc3`Digp)OrRhpfVA~IXBJh7iSZsL z#e&aEniOT>qj)>7K||v;g$n zdmgCl?8(dL_4tZG*}7{JBS}4fp0}+|_*_@uwlx|6p2X_Q1T5QDS1^(sa-Xiz)OgXF zOzm-*pPaX|HeG!ECZ2a^HJyFGU}lVGF>w+$jZ_Bf<*dH0@8oS4yQV& z+Wxg;0|D>YnKlB{IZ6DwU4IqiFtU51@NC)t3m0$M=-&m3z9QebMHR5tC{MhLfU6ijSWXjPv|-N$!fsrT%a}E0 zJFAfI(er{|p7^ek6uYQTbWo)fmGs_O*LFsfQATIXbygN6MbJjEi!40~68Dyfd(Ou) z&*q2=Je$|~4>O+4;FD)_Pcj_O=Jbo6p`H$|=&du)Y`$-^v%7bUFWKyT7NZob+6VGI zF4B(!zNrU1W2A@m01|sby?Rl`^Cw%8RqSz*=W*AI|DMNV0N|O&uM)6~=k6Et(zZDt zGtAGZEiQ915tK9ewcC-#))&36YUnfbo%Xr>*VH*a6O?&8N9=S?!Y7RYDY2%pL0_IH zK4(>VZDT6{{D<)*s^4iCuZ1uXA!QZHw|BuWT+3R=hdO}JJ_Y;wB9AouoE5k6n*?B! z-X!Qwe91EN>P1%n;ftdF!$gqP@4Vzuzw=U{`aj#_?CMqjPu+|T>fTGTjwW2veVfV( z+gQK1L`CVWp(-UT0jO+psknLjyfH~7Tq6Brh@~uXK3u`){Wn8bkNQ&yOw?air>=0` zugAS$WLQsAGd{F&NvH02eycJr$@^oyFUcCxlOD%sf)MMxPfugCdi@eDKQxhEy~MMy zCpyzCeEyOgxO`#*PYeW3cvCf2^YP4niR}J^&N6Z7=yOM#%(*0oEwhBiL?4ZU=kUtf zC02b|q9CeIy~L_t2?6L9#7e@;sy{)0@gjfXU#dU%BQ|t9Qr2zy7)R7UP(6JpOkKt@ zX`hn(1LfjN;a4x|+lQP#s(Ww=olZZl`bd|=CjjZIM-7f3@~(cFgV4&CWhba~ne*zZ z>1CamWYt5un%}xXbM?+>zjd z;&Kj<=O8Uk*=zKn>@~<;Sc>X8fm|(+du+(nmpMtVj@m$YYy++N+1XtEEkIWo$OzHH z3hdPU6@kOA9&i)o=F!Op^~T3ItLMkGKi>Zbv5a3$_ToSbU7K&_LxC0>1%=A^B7qmW zlRyvfL3jE?WWF>jq71(8?PUW!Z5-bC-k9V=^sylN!iVVNKjgy$_=!+Rrx(3hqPF41 z(dBn%OJlpQ^X5PF!Z(Zu@p=q*9`{y>a=y+Srw0xW+4z5OnL2VUzWmU+k74Psw_wk! zGH);Qybblu+rmHe_8P9?(lcR*VIsN5Q#O5w@wgR!g{N#NZt~GRf;~fwQOdd^dw=2; znYZPrPkbguCjTtr=m%Vbb^H%lNmG_PfK8${Al-m;>iQp?Rdo9Ih6`W*&;H&MwLb|A z{)?xB>UUZ^AG%`u09V9`K%H~YuS*^75h3M`?+R~xoNNDI=)?{1q7ygZinsw+bpJZ8 zci_NuJLlxD*wE$Q?`f5ui68oT;0j0YEw&hg)oM^fWU@kpT_M7%eKuEn{>4?*14We= znAqnzYcq&C%X`DdeC=PDB?Wy~c>&JymiSZD2YxB+KtW*#o~MQCpk7JQv*1eSyWDd zj5t9-oP1z&(siuSjM|8a5gsOZM6_z|dQbf*j2sZ19I!dLU~_UdfRjr_6BNV= zkY=}ZO`s|^>&Mb6(akDbH+b35qnm;N zhQ2QmDi@qvQ)0N&Qq5VoTVKCrt2Z57Wt)~BOulzK+^XeWHM1AV%Y-rwe<&%gP| zDk>j9NPM6mK7cptyzv!PiI27ce5~o@dPU6=K4x4MUm0auGu2n2#OrAH>+)S(WrEj$ zxO>;pc$I%uZqMOccTkh&+jHBm%DJ}xQaEXr5f@g5Hmh!dC@0pk~dNjN`B>BLXy(&cBI(fG_eEf*aWc*?GO$&1LDb_qbjS zn^?^Lh9W3N6F@ckT{ji^H@mZiSH+zLN(v0|jbK)uy}Ul|uU{L#sgM7b`?!;dcl&zh$A7brJLYflao^Q# zQe2_>uLVYPVkNG08IL*jk^i@Nw%`3N7fFuz9{uQjg}3XF2BCiXJsM>&hj#T+N2OE{Hvv3dEFqN+RykgbV zhD0A5((4kd&H~<1!28n+n8SCxE9&q4b3Gjfc zs4*CBxEeO{Z_XF^Ilh~(ljA#4jryC*D?XN*&`fF-pDOFOEr4<6SsGsb`c_#s1+nz1TlG=bfM@`GLF9wUVkN zz5zxzUE=-;T+4R@-yMBlVBk9m5BPAPiLWFy_BA#9hd1+N6v%?H`}@Bzk~@g>IRrQP4sS{Nw>sl{T(h*LBXwpen|7uj6aH$DktVJ0j^j|A>b%#fSA1f2OK_UQ~&J zi6vg_!-OW5c)hP_tv~YrLt=ol#CQkJBQdxpiBXWm=n&`w(*u(IZ9w{DPuYoU9LW{Q z#`MGQK{wdOK{rHloFyi??1Q7yH~j2TwcL#&8XKrs^jdzX(8jVi@oP)-NB@5a4|o>- zSwDDiPST?w>CuCwAJE9vg4#&%Vt``7eLg=tHWrX&A1<;FzrkKVesaMl`(%ISs!l7a z?7&Dop&*`s_+Oqs9uQ;0{2BYmIN--qf$&sd^YptPPrn85bgrm80VDB*f_MUA=80nf zv=KYI{Mo6fpLpEWTUEHJv&X1f#!Vg`i`*Xf`T{! z&WjG$XH=z8qHg&wBOHi4?Z-%4VWh3iNTx9IqK6S$)2sF^DkDHfjG!P!fRlp|REd!` z0gO-(f}ch9X=JJ}GSy}zPZ(Jez{v8VG6H182$1m|gj*7Ypp_Vz62J&WA$ZTk$H-Y> zLLXl(G&;IpEF>zpwk11==xZ{)B+1WgdCe$psD_1Z zdXKAqp#%gE7V3uoATQHinxFJFv!hrM#O$b|PNAGBMGg%$_0$_iZQx`_F`@9^2TN}O z%5$<&hcL*=Mq(lRjUV-KJ#USo=D5s}h2kw%?(3SQ-YXPGacZGhYYO#=&jew16!ZGI zI;!P`Jie9|^7^wBkB}r)y9#BHZ^!L&auN3c(my>qg6ellj{*Uw3xBf_pw366f7|sx zK@LZxKcny*k^V1SO%t!-#2 z5+*w*?7pA}iy8WSaaETZ^2>y#U>k=lRUp4ym;AbrC*Bm;ohIHVFbZW0@EIZqFWG|4 zkX6P4X72aKA$r7l0la$vT=(j(*J4Ph)E6Qc0p|v;`ysgMkKjHxy;_^9Wya&TG-pI{h72h@Ks#8sb+FxWng$E_laPT`dF; zZKLWc)N@9;YO3#04vkKydj6Jh#_K`Q1g{=4>|Pu8lnskI!~S8zqV9pc{H`lQxs=Z7 z?W(IBN@$i=LKAg{OF~IBQTKz3)hkM>hgBmR_+cBkwGE6q13za2qwWWcHzrFqP%qoC z**5IEHZ1B4JKlyxJpi_IsRnAU4Li$*U1r0g&aj(oSk(Pt`I}&R)IbV#B7^YJ3K99d z4SmRlzF|Y79so_B15+_UqOZsx0j>}v`a+#ar=TQ#q3!|BZC4^%mrKATdqO$~H4QTK zqBo2>s=bY^sjqkHSXcG1r!fxgvDym;eKoAnq*1D}{;9mGP2;WGYhk5ThM^O?g!*4v zeJjZDF7CYugDmb(8alUWSdyMM&ehEtg+8>p;~gnyXo|+SXYo7WB z&{JJl^kLH}t_u3M|A(~i4vebU{`bxX*kt$KyQx4z2ni*SkU;272)%a&q=zP~ARr(X zlqM?D2{3@7f{G0gY_Xt#`mmvby@6nP*d@<`?dk7x&dl9=cL87c{`iB*&Yd~)nRCvZ zIny@==3w=;WIhJIJT9z{Nf4NRfl$?vuEgl567ZJF_HlCNqXG0rKH2eYvmn27Tm|b3 zidd72jZ~QA<4e(Ruj(Ak<_lQF9F6LV z7*umBiVAcIm7+U;D_%wB60G~+-r*YqyCe!&U0MJBzzt%j26n$@7DAU<&uLiuVqm>c zQCOhH%tFY_x?eG?x}5xA;1+>c2DUv4*!|*njp-MS31I}2VM}8({Iy`^X!#{puAuxt zj3FUp9s8xyhWi5Pa?^#PjXbq0FhJk~qxvxlRc-l3vA7ZEK{~E=#^RkTEB!*~!W*gJ zT@nLtbVcET7{N0-%Z2L$xxUVoS-Yyslf}T-{$b!l3dUDlIa<#`j|6VSg=sFn)fyi{ z7vKE~-}V@M4^|W(h%vs^j8Ckt%-kE(P27UN6|fa9FgCcO9>>-M9CD8^?kH&V2;q*T z%JP=cfvFV2{MV4rmIWG#-z&=>$^!WYCRx^!g}$S5P zIKOSGc>2eB@^EkQ9(IG^yIL9RT}6>-Qzb&8=tA>iyqM*Zm=aB*aA|xKV#>&+v9>QRCO^s>mY~0`JS$k0x~mhFgEiAW zqwbO&;70*QIlzxriFSY+?+aWJ8N$B4FEGn^jX71hWG;sPX;DpSJl7=9PxxGeP$RS;J(z8J^vNxEq{0+a4$A|AdwoSU}@}O zbPO|wU>{7#ujFJRBsq2R(CQFP>yM$LFHU`fjJ}*`=P*${<9FiU*&Lg}emP)4sG2~C zrj{+UenoHa_lxKXapM+f&_17uewlp@px<$csP>PPxP1+l9UsCR=>P@4u^sdqE_#+c zafBp)FiIROc@)KxpNL8+$=^eN@zCcUf3)PszY-V{kvtxx=t-AXJ)kA;e~Q?GVU@JU ziup2cl;~(WQQ-U`zbpO|qeOjd!vX5*zVKtHYqauL?94NeHPyW2u-M z^j})aO;xVO-dt)N+9O^bS(-RO^8FUypzO2CwhK~G3+$-rH+Jch9PlO;>fBH+_@uJm zETamjQ7GWCEQZ7@Sqwq>N*43zFP6nTtZI9Qp-bKlgh>|VZwJ&1x+Y$3eH%}& z;DBOxx#dzwU=3A8m2wxrIStT$FVI9FHIE;b$Hz+GDdch_a2HWf5?C3pT419oVoLl= z6rT}3h$&|pKVTExELprs#L1PH3R~@`e;(;c7#}INzE3$a!@$99@S_hfy!cj2wp|jKL0LKhf`UlTggVB2l|`uk}jy?zD#gcy5E(eNKk4T5+8v?qm9bn$mOW?mqbCS z^jitasMMb;>KgH803R~Kfq?8dJ#{)YBQDcY>g*4&I*VEXH6+fY)R|#`Abl?T2*=9} zQ4~-nrVt^Sn9P7OG3f}Q(4xQ2+$Sot%xhpyZ4{Mc;dg-&vNE_4YMIy*P*!Fq z09@&aWL|jyFQ)fZBj+DDmMz zP!vurYJM2Ew}_B*@7MbN8<-%Wm|BK&N??LYw3dNO^j7?^|3$;QP(7& zzfk5UCWJE1iG7)=)b3_o&Rn;g1Dis<#pAl1N21D+Q`d`9@j6PN8IV_z_fbq-p~Mq$ z!Giq56=mFuAdV55??uy)A8ruW3Pdo&UeIVBanW!icpVBt_GuxBSG59&m|FoAPQ#G8 zR5;tGkma<3kQLnuF0T?C7I8)wZ4!Nq2GaP(X#jPxaIj}j92!6%*k0bc8Lkkbobp;) zj)FIkgKoug2F8P|<+Uu znH31$Ack7X^O;U@aQF&*{`jesEHjL?RBl=uF&?4%PGpxfeF#3ERj;xC@Eg^Y8#`1fx4NaUJP0evBZo>*@&HDb#{o;p z;{Z`-d7Pxb*eacjk;j}+@G6oA9@Wg3`?f)~F0f_Cgitf#x8<7oW>flIay%)|_a|h- zLqxtuWBN9cCa=3&3>KL-_b(>CJ3wmK@<>T)s(d9mXvsU1gM&p=o2T8egVp#gkXw4H zdKDv|{w$2m=JY=pYohYM;b17L!V4}9P7rlM zYQ^p;ltp7$+RvMD&Pvn@Dbtl1Qf?+JW948T0VUlu##3GNfa$j=wIKb(81i`KU{=~w z#3EMDp#Y@Rb0{Es-5FUcI2!6%hD%*48Da+Rccdk|sUdm!Ml9K}Chp4#{vmD(sb!tT z07gr1c-)(p-te23b?!olWgTNN0aZI}=OgN>g1tn!&i|dx|F_PM-<;n}R7HOm$?uyVGGy^nqOYijZ?t-slc-=fOJvx-oJ2z| zSYM@~e8LQ>`{R&;*Q0=X<`*d`vVC5#Sd7rwhwAK8RCa;iT=ZO3H2tQ`T<(H9t6V2m z>x|2F#@ls9{HBcZvqW7iA|g3w?nA@)m(F=W=X^`&#P94slbeeZx=8$vWGp@)7K-0> z#$QxMxIYKdg6gU}L{VNNO-0dpIz&-++*?laQup0XCAC$S?t1VVmO>sc3SLawz`ekw zp;%w%!X&pBxSn#WUSLW{Ij9?75ckCOMjCl}^t105a=~T*2W&>hhUUSKv9!aV`GCuuBxN=b!ff<2R`NGK;j%1Axj3sq!D}$O((khw z4A5YMfskFCIZ1|W_p&%?%#r)kgGJ(sBsEJs9WYx3594UCi{p8X10mzUjq0cZjjpV>jZK{b@Dc!SV& z02?5Z7H#S!N2AJ5t{|5{jZqxgD@gp)k2z4C1_PRs^O>Ir6O*a(T0VyQ-aV+`VD6-5j}j2I#FaYnKs zSG^0@6%h<)S`3_N@8RPC4d)pR2cgTwcQvNBVlcg5QB0u5m=H3iXMpL>F8;m(5sc}n z7)&ic6weu!TvHg-ORWhhO1cP-w6z+`X{$oDa0w?T;HB1Dc-_RScXd-LC}B`!YzP@! zLW&_be=H6NL@>50DbeEl80VUCf0B!BsK$m6*ajFgJg}z4z`CNMut1DqA!JxXQ;f2? z$3?y&5W~1Giovz}_2hJU;iuvz<310#yEQn34DJ~ZxTj*k?W-s_5Myu%8Qk6A*~HJq z7J&%Hw$;VPYbI0CsAgx~D471BPhp&|rs*a~i_Vsq%-3c7{L*mCu%^5-P>X z1*b#FVpJ4~LOCO$a^gSIIdL2_F~u5gBNr}vFWuzstY9;9N>q2ljx`|iK<6&9mF&5! zMun8;vKk!ndM*oAVgd82;c%_sUDKU(vLM@M%G43T1>*ix3LWDi3?hD0tWj+biKp`X5AB@o}p1C*Dt0 zQw48xsHX~IvOAvk?{xs{)6u~kDxN#iI{^dJa2`(^zW$h8v#07A0W4K)OI3a7Z{?zQ zd}11aWrXcC<#fNXE_jvPUoJu-h%TMBqtr=L>XS_gGs8enuJ(p;!HJ@EnzFCW)7Ws} zSo4C;!6G#+&<}CcEA&oNedYjU_x70y^!sdmCWx`#BV@gAo`zBG&!V?L1nYehd>~cL zMhT?nHPe)yFV#SAi~=gho)(XY&B#N`5Hd}!nU$0Wcg4xd-t`kY>toSb*}HxXS!h4p zcoY-yuFr}7t*w*XVXjR z8wh`rE<)&0RVii{4z*&&gPy)iXnN4gEfwD&8Z<4hmK$qO6JcR5j#`%D&zd!J4=YA4n6|pa9aum8d99 zQ2nOS{t|^&{!+#FIF?ri4h!1$^B^JU# zriFM5B|1u(e$INd=7MN87E3UZGI8~-F_Ikgb=Zjr=&YY$IO}H;L09$)%x3*WS*)LL z5xZDFX8@S8pfjpP>*uCxU@9Hs+1>Qrfx$5V>lN!I)r_)2%a>socXBMLmvI{*t7tUT#M%KVbtMO0^+nqRyuG&Tvje3l?75O_?1e#N=>XkOG<2N?)pYre= z;WtsHQy~d5j-q1U_Jv{z&|}6Gb3?Vp1lxJ8qWlAyoT(^D1k@m8Q8lHuKP(9DiO2is zq_()@l~?6HSQy+O;;JjPtx;X6ZFNeM8Aic01|VF7?YTeYaLy+ z?NeP%RrHj`9Kbp?JdToSy7!Xx98iWEh@AF%*2 zwDE4A2uLQSH(w4j1DvAp9*tR2NSO_1w zIXHvLp$27K?*gMYJ0=Hf%l*Buxj0Y7Q%f%ak?wImfGSn=Nmp&Be?8yC_@@a~M)=9}i1Tr?csyOTo!3E>O#Z8sCNm7w(I)>h z)Qn92C+SL85xQ;XS47e@A8ulx8gSeBow)2V`;XG^v$Y*iVl73;cK?%fZTAtuvj3Q< z=80EP2+Tg-8|^qZm@AJ@#MRqPW#aWPbNu8<;|vG+%;t%?vd(5KnS8b>ILpAvOHOo| zND&<~R3Fkf!$WKcZU=YijET@84k-ISSAAdI6>IEfhT92boU>N5aA=dBrzP1tXX0UVNe-ni9@KqhTXQ@b+4{QxKGybDee6Lc7H!~#f z>K?T%*j6OeP)>8@8fp@*8eVRvZTtAmvuO1Y(w1=ira39fjIH;{(tmfbz38Abx7C^Z z>dg4fnMdf%_|5ZSz$Op3^z{<6b;cPw<073Azd7S-oe{sCQW3kpReBbJP_|5r#*ZJ_<$;T%Y_@e0KOvNV~uX58IYj&pM z6Mpm5Un6`cKH;~MnK#4lBh^#Na0H@rT0L%r^vmCO1nUb3l$-uj(81{C{~?)f-+6?{ zsJ?SA#78U4r#tu_iJyQpX#e9-s$OAct zA=YLpTd*=y*#d;zZ}Eosdl5YwITi^@R~Nnd+DnU@iV9*YD4_WOhY#6?)yN1DEpMlkefEd-;CVU zFE8!kn}I7<_T25v(%^tD_ss|+_72zRaRQp9k=t(z)}p>{Z>H*VMCTTy7B$j}fnw7E46`E@_vOo0f-HXA2;wQTm> zkyKkA?GJ1(d9b|zY(>~$>4kRG1MR~YXrELR8VEBqgbeKkK>KE(Z<;^^Lp$I?JMc2x zrVj@JTBiRs{tKVvGnOBRUO4xuc=~h+srNxrlhiaS03~jelpu z!qWJ6CVCUvrH!NLgod4;SF!5Mdnf6!vU%VRY#=ZcXG0@qwgwUH0-& z;-iYP_sv>rDDh@3V?&oXT)jzGUn7!P`-VpLtc#4jGW3D$mFMbsM;O%d`*wiyVGwpABA&GO>kL0eebJP1@ba{4@cZ03? z$<4QYm`M64*jt{u%bz7$X3JXd1uqjFv(=EKXSN!W;5Y9&XrJxuI?!3-V;G> z8hgL*Nh!9F$nh{nA^n~w{V8!R5htg=8O)KX&tmC`JV!Gs9eE-%sr;>7%nZ>U<X}awa^=*lL}g4XS(*>}r^G)` z@fqO**)sc>-Pmg5O=idwH4++{Z7EKc1oMH_YtM!@B#hBQv5*4!FiUg4U#@% z70dYJ!9LF0Y_jrf^aB6U68K$90KZuR-vhWg$G1j3dTQq=mLt|F-O9n4)K!&JWuGg3 z^+jfm8Z1U7P^-23zYXU3!dW?rM8eM?dvGM0jJ5s<9EY4=P0(H zy4whr-tlO<=m!$zNm*h*4s%|vdpTH3@qKuX@|W7@ID7}$?4?P=6L7 zjreVoZ}FEip>z-BR{FC#N6zeTUN8PaM)Gw3pih}$5OqA=ZJ77i`bJP+G?H3d^_U3V zUa621@LS&bwb|8e*tj+d_6&J{A|R~N1PMT#hci=a8>ItZD!>UUDuii(Hl2l+f3Ho* z#9<3Ae84q0)lpk@FP-rnlRx}iP>p{gEK7n$0ghUDDRV!A5~!aM2n%g9Od;DscvkFY z*?0i(RvZuMaIslx+^P^1OB@xEy7~yY_uK8#-WiQ9|KW;q0JInsLI#C!&Ci(1L&%`k zxuCf3gO63dJSES_QQg+B5H)puzYvsW@js&2hyd%!zivUVhyC22Qm;t89&T9YUhhZL zgnCY7=U%U_PE*BKH9n_K6paD*`Zl$B z@vk*k_N=wpaq84{x}C1TyhK-XvG@XEK;RJ|W-7SM0r&eGitp>FQQ)88KlLWZ zss7yb4glvsiJdyvZ}8nfq}Z%kbx{#z4L+@-%vvw$YwNE{@fl&b@+YyhHe*~oTeT=u zNDl+I)%a8ve-+G^H7lEAjnw{;zM$Onb#RU`fK%|idY`(= z==G@U8a-T#K@|A=1ou1Jz2<~TF}-`;2tV`XeYg1vL~|5Jlj)6R(RY|kM{Tw3TZvqb z?d$H=wn<&KeOL-Wd1{M}e+zxi40o4nP6unybon;pY4w@6=#1R1aS+d#h^8FnhW?2W)jrpSZA|n%!s(8Z;}9kj$PKq-o-zAupu- zi|SRd+91SW5Hgt7a`n$aN%V_ev5T-npUp6^u*KU2$mFSS0r$yfZN}4ywA!^1RM2Vp z*P~cRXu0y86tjWcl46b*_k%jEy>3T{{Kk5D;#bU`B0I0WzNoXm5S5**o%pz(T6zVq zT}yXPUcV2v&;;i@x||mxQ5Oi8m!XDrLH@YSit zAS5JrnkY}N0bMJhWL<*ZB(nVPU`NSsAR`rf(@k@gEiA}oTNvLE6uH^T-Mjp&)V8|D zxyq@&G1uc%uR(d_RO1bEf+N`suEKl1bUVZr>RPqUk&#~L*bd(uaZ(Ec4`W0GfyWOWL5Rnm3~DpkakqH9X2uf%~;xNAD5#32xm z?Hp^xaj>4cqE_`iT~X)y&SYfQ`f6a)Q5qH|1Xg$RrHlUcRaev$sgw*-0F1k$;}83m z;_|SL$!3n+U$06fvjl0hIGUqE1il&d(!O`T{Hw9qMBH3oF>P^u<$$A}x)VBqzno5JGm%g#x1_#uz<)$Wa==f~ zr_3-YyAHS|6I0;tvIm;bK$&8MZVyzO6Oi+4U=&{!NNL@vVciBO+~b6QMPRrI5G;=q zp3s1MAsI?B3)uw+b+-@d<5KU*)M<{l6;eccp?@N*obd4x8UnQ0_9J9}7a=?02&pHc z%?VXa{X{`r1GhKARIAH|<(dr$*%7}dLLVFKi31*t`S(_o51_`-5Hd7`?202~XiKA^ zQRieB6o)5PNJG?_$?qV0^2om-OwHoIMClQU){_(3VMKWB60@>QZ)dJBaE)cES%lLF zL`8gwYEcgd65K_l=P9kInioZb`=~~Fs*i#s+&=1@lE}|feN_EC)t6Sy zmyW+isg6g!g!E9EHRvMuN+^gu@>ax7?q9|MmNISQ0F*Yeq3LnAblhu$lt(_D5_7g0 zk!&+`Hm6^LEsV#V7Up2DL5!C(Uhz#8OY_uZ&l=R5_P^mb`{hgWlr>~8^Ny}&U_)oK ztJt2WjNuaEoT|q?d9E>REgsENb}%YIq&dS5KAxxSAn3ClT#(1zlJU44oog?2FGSK>+jIHK z1Ah?&ytZ!{{dQRHwS7DC+4hNJngFOqOrQ8(M}7l%@V#lxxV4FGso4HqauP@xe-~_ zlbbFvkBi$unq2Q&5mMG$06CI1R~{aR6H$A0{wJgJvvE5DNZ9+R7+xUlFMP=v=VbV6 z;0yWRujs;_RE3FE;5%(FSk6*ZGYz?3fQip zC9z#wL~NBDU81aje5XCoT5LhswfT>lzltJ^c&(NV9|`}X9db+eZryM7JA6#)G@#$?+lD+D$S{85lAR5 zya>3M9?cm>72xSnv(Pn5$6VYmEA||pYA*C=APG=ox7{F9-9oZ?nt8iOE0pC6Q^UAu z6!CD<;w$<6lrl4n@?pH{$!Y6S7GVineWqE&4uz^cBkZ_7Wu7sNzBMy0mTQJ-*DZfI zNO;XxD*e{1j&j{VgWEDfYRkS3g@#;{7dM3pVV|WPQOy(iD3cl>yz^mBe-G$;=rrid zQ9R=|F|AOwiD^_WEB77r7q^K!P$c#BkP^3vI&Svv5FE|E?TBRC8OgR&XLH)bZ?jBZ zOelH6zf~5O`7^}cLNyRQ2)^Jjsqs4TML)WMIBp-$qkeZj?!VJB2>pzbWtQ&VQpdtq zr=5I?gggiZ)q!&%U%c0bWNJ+(DjjLbOe&m5q0gfrYAMfv1JqIwzyB)pF0sE*jXcvD zc}AYujr7P9bFw2q9M@76imXPenG`fqy?tUMM|OLGiI;QkxYpbxK#AK)2YlDAJtDasbmz*OFH|#byiC{qo_od+GzTVr8c?|OU)U5 z?kiNI&z$QqU?P#wVS^3Vo6n26jTHCiQ@NV^h$HR?XAvZ}p3B4Xz%y1@PFi60!1ZEO zdzOHkB3ufDYkXBw<;W9u9k}JpAzo68N~HD#-oDV>PPd&C9oqB#Xd~6QcQ;c0$n%R( z4rbbj%ZI;6sEI?tw4ca0rm|p1uJ2GIqcrP_LYZ4)s^gD`z)jkF1sW4>FsF)2jg{fR z3?c7DN^Xp{1Gfynv5_fR?t4D9mdM5r+K_}uCv(A#W{GH{Gq=#0d+5yg%^R79=zRF? z6gpk!yG-Z1PUpk#NTKqlu$i@?n$c7s*2(?&QggVtTj#!0=YCk{#&6zxwI3m& z#cwAcduY)d&Q1>Xmalwl*YJh!20v-(auy^?YJPbmrRIoVvD~~)%z%2+8d}p8<|X3C z#!A;8SYci${%S10T4A;j7Zj=9;Lpaa=Ga%BeXZF%`TNF>mfuY}cgT0a1+shvW&rF} zSYHAq*7X`i5d}U4$mG<%v&x(jUzg%D!nKQ3moRs=IZNmSWq+?WabHU_m7+-zFK(Je ziV$7xiF9OvMYkg5k94L_nNYuo?^skey40Lxh>{}ZP>m{L18j_vHbFtk zb>#QaB=dhf57cxQHSXOyas$nZVTYIiU%0nI$e!n@qB3zSrXuMByPm_L0OSV`1w&~Q z+P*F3Q<#Kg3cLxTNfYe8PD;mCG4}m`za4|;-kuVAG>K+%-zF6lAqbNQaSYvsi@1&# z+Wll;F$^JBU}g;YE6<1g!@=sn%@qgbOwf~rHONEoS20Ku*J zeRwv91_20p#^Zno=d&@Wp06k>B1V<|z(WjiRB7XDPu$6v0=_+u0$AW6%JsglN!jRo zF>t18aK-O&E6xJ{;eK-;mNpY_q2839rm5Lf)f*w#yQTU@(x7|Gx2UNer%knPT0wCW zIjVVommC$vH6QE7!9>IsG44Ey;JSk>*B#-rJI&9j81~Gt9eN8qv!O+0#zSUr1BXW3 zTCdZ!M##0^>4EgX8IT^TC?q0Bwf>h&P9TnJ{jM8lymdwq@1I8zTx*c!TCZzbHu4b@ zBW6T!wbwY+maOU5J!W2G2&XC)*x2$ z1ZIrdDmntc**c$k!mKO$XyQGiiT67X;>1!h!9yI)N6gW5uZX5Q_dMtlAJM(e*lOky z=EYB&Pf&Q_UUQVVjmbBR-wb-_0}*{>uh}>`fqt@s)^Bpne%Q}`YcrYh3?`-@IwSpc z&zRlLn*Lo%|J)hrJ3MPXan|$+`(VM}IV1gb`^+5#mxYddMeo4ah7bP0w)3>YMd$=* zZlE)I8k+Ph#_z644XEF5cEIfH4>jki;eMLC&4QGm`gIC!h918c6_xEjV7@E-HPxpY zl(3;%MbPd+UF9C|*z<=M%)W-dp-PJhx!AP%p0w)^ngQW&qtdoIGi@VJ+TUI>?=}2A zR9ZOev2>fMv^=`aeHBxis2`7Rx4&vu6PGrZ`(HIP@eVCAs?kZ#M53kUD0DrF=Zq_v zoORv0`jfLqtqYHBF1NmC)@{KZ`vy2#@aoVMXdt^h(7Ve;S4^B(IH6>A$vS7EO;c$F zB;%U1e^++!ka>j=3!2L|Z=k1HMx_@7ma0lDKp_AAHNHB1-`dh@?08#kK;XLOGJ9a^ zh4N^*nN1J8BcFN_VmoEV>*w%pJ~443>9AQh?n$Cleh??m9{k#@YCKEH^)-%T|FF}} z?V3E@Tn_sNz7s;&fozFe9OGn-H_a40lSMRWdjAlRToWjinctd8|46CVw;oCfZ-K}+ zULw4X@z0(TU_A7enG=C?%}*eL$1`?Bkg!KrVc!V!HodLr5r2bPKpnu}GP(7BTK=G$ zX}33*2mUY{IP9m-cQuzKk7G@rC+r~$8o=j{Bi6?%%*2SoOs+j@UHvfFwct-PJM9n> ztHEK57Wj(?hb>yDAw5*H=v_=|AUyJ}*)6UwQpj%?nOW#3QCY2@y%8H-T=yvb?AC(y zv(4G`)7JVqbz;e+SyQf=7^|ZlQO6!F)EFf9ee+)bWGXBpJc-JWZrq&_J-&sjjdJwE zG&lPnqe}c-%H--Iyu@TH++g84YC)C4w@|J2B;c5j@u67*)0rekS~6=Z7ky}Eq@UAa zUVbKsZUAv}3uVaWwullJeVPr%M#KfMEUq4B<6o?}wzN><+JeMNT+h>AEUxFH#MN0& z{}_7(m04*J7lszfl26TK@ng}3qh>m;WOYUN{uxF0jS}5kN_0)nCOW?s-LzPl^*}}6 zQ8L?b%pBwYi3-UG|L06@^+NOy9+4T9rSX(wKzuDdLd%Ow!%vxLV0snDZk}=kR123f zo?AdT=K55Omh?f9DJ|u~DWN>P;^S>j^yPwt2MK}#i`20*FA z)1Urg@$?5#njllHsk8jzgex97>Ql3+aVg={t!V;PJF4*xjuOe3mfV{DQ6!hgiliUv zR?<>6qbol%d-@kpDH&m$bB$%t07PGl_l+V(eJ!QYMtv1!a~e`!+&27FGP#!$=|=O< zGP(QAA_t+!J6ozovnpCB^l7;k3fnk9W2uy!jZLvqc}z>?F(g(}`H22vseBY8m98f- zxvUyZo;-LGb0Pm}DNmdNQ345i+lZ83nl&9eeG%&Loo4=5 zUz#`h%~s6(fGm0wJfoRBC+QF*^|$gcAIB>w4PS~`gR(iyPm`0sHtWPSLY${Zh1d0_ z$+wkKe|qkQf#LKKvyLcg72BQmCIT%)Ctz^;(*HpvS&sbHOpK7?uCRou;O6w=x6Q)5 z3U`A=a@SjCZM+%1@of&u-!O|D&I|)*3R)>0se#w!JpCYjs@}>qtT+;goa*Yh-0!>s z1OICFzGTk0SUo{?xi9PlZYn*wmHuKqxfPUk>n;D@+z?TbM}C02_HZlt+7EEo9;FJa z2AsW{#1z$l$3!*Y2j!jbnf3nBTbnlJ@>#J>csOdgvz2PXZ=He`y+-9^gkPniqqS%x zqF?fA(I+YmYthG)Ek=ueK%7U5exl?R(4umsMdh(tBm%9~UIfv)B5K5Bv>G|INR33c zONRWZiYrpNQlxUFNSNvODAH&!=R2)PA4e+^efq$wNH2L5Y3JF*8mmaCFe?&nE7OWJ zg8pJf8qwOTNL^&sX>(9So3@-btHoV`wDQPHRWiiv)@ogTMr*nC3VV)R{i~TRF2j%i z<>#NxhZ>7&O>3<*r}=N@#qldq4&s(WIye~Ow6JlAT8b#g@QXVEm=<)mP;y6O^5S+A zO6rKkW3APt)o+aRC7#>kemJ_A2`FY)Yt@jqw2o@X^l38+jd)0a!^VCZAy7?fA^nLZ zk24$b^P2b1BZX?jU(sL8`>$Ny!=ddgL;uCHB8o0Syf#;+?HM@wv zUDhYb1%I2Xakdp7)N({x8?_vf)JA5mN$rGbyvV0Q_tR6e?e0b|_36~fn%FeYYZSv& z4BZ;it&PkUR*^A@qvV~pRcVe?JarG!?+9x+ZZC|GzE%@h;SxX;P5fg=8mFRb4-w@M zSRQAMhi!@w*sTdX=Mq3vWZeM^DiJD(cc}0R!r!h45&>GTAYdN%D%&sX|7F^;QWYzm zxW?-Uzd`79;v_N>4WDk~E~zHsZ@q5yr&i1ZRjeugN^KFJ5ypdPKRPDu4=ry*U(i;q z5G?jv--^Vxa%Q~M9YW!>$1N*BaX-Xco%FXFvVVe=jq5w265N|$HI5``*bKYfi=z_^ z3|Kjl1Zx7IfL*Nw$0_2gfTECSTb&`esBi0o9_pV3t-iR?F_IuI5!F)zX&~i+w5}a3 zTd3MSEY@(vYDmVm+09KK7#l(^dS~>vWwtd;XU>vwA*;Tz-%a3OgQDk*o17+>g{GyF$uwE{CX#d^l5&7XNnH>;hRCzV$b;$LHC@4F0*A?yRwUGSm_2wWLlRPZ*w7s16EaY8i`C< zT!<}L)5@k)YfL*!t{P+2FixH;>5iJ#8cNEH4!2Xw7@D2(*(~ch19yWbSbFcVW}E4PS$#}x6+ zc@)9bz6kC=*%}oGT+?H&Ad4hTd%p*FFME0$Tt*MH6c6;CBPB`vE9OIjT2}Nn)xkoS_jcb zTA*iolcQZY3tFPab6Z;VDTUXnR|hTd=U7YYNxH|#v@+xBhrekrpKOJmvYaK5CHs!D ztD4_Y!4a!btF_gy+Be=Pe688Lwj#&ZXI>lAPX1_Z-C$r-(!yHcc%2Sx9Iz?vNG;p~ zJL8)w+0bNsQnGK;AzJnwI#f{hpv$Utu}ce4Y#b)JQR7|m1Iv;N^Ui}hYZgedW>GCj zv+iwg9W=y^9jNopk}Hd?I+$ss%E-n)`>W80uZpc_DRiyuw&(;IoveD40OHG%cTchk zjmM%Byx7Uw6;0u#=mcMNwpvgE5^uV8K4?*-4r)h&!wS*25SU!k1qW_xwX)`-Edyg_ zJP91^y#R+ShS=%i3uca%`U#y`b@9u)TD99HB5HZ?%86IZnlkoq}=>hKHphGt);a{QwFNy*zkM^;;iOt1o+}szHquUgh_O((n>fC zC{}mbB19LGEr022)eyU5NL>?K|ZI!Kl0l9k))9@#+A)2&`)Bk{3 zKmKE?Lq_;R#SUjpE-F*mNByn#M*P<*<(I{3$f;GY1v10$Enk|HTz17kD@(-xs?z-u zovyV?$Ln@q54JK55!X>Qlix2!opFMK#H<<;zFd2;H99&)t(X*jhgda|<2pK((~F~@ zwUzURz#KR2NE^ed$$dktYI#3`1vX9XF}_@KiFG-p@ET@X@fhBb z+le_eQW^5I+YPsNi(523a|C!)>ZOM-V@FscDTS9_SJ1ohtn{GOEu5NBsen9tq_syp z)sbv)mh3jlYMSx{L7*mxpl0vxDjCb{&QaFuhB&10kOL{+@!&}~gq+kRF0Z#?v{g@r z##$|sDNd=Lmd-8B(R?olPBx1k^$9n+QK5rIW{0 zW0kuTIyJ<_Uus=XA;Z1rQj8+IM80KB1`vEZa1%W34=1DP42^v2KgIg@Suyqq17lcW zTo$&f<+IMlO_@+sbatiHC|PN-u$zvVS}$j43BYNVtuM1qisT#4!kMO*<1OyWU9EI^ z<>gkjdQLlOefA=W0x{;%%dO|mN^a?NRAQT|#G&a{wcJQ08virJzzjGwH$>Oq5>s`Z9LHP zKHEuloo(&%z0k>!`(D5p_|GWhzji7cG{@R(_!2rRUxu-s}|5ts8;F3dsHK$gx<1N-0+4dG|R@KZdr2FnRAZo|q z)1Z`MS3NtnQ@2z-^4TV zQy2ODdW;2AyE2oqe~R!hoYIx(Vke)c@A*O1Q~*PNY2}+L4L`3~4vJk9JDBBO3Unr? zhWtTVnQ1LSPKmq~{l#k~t-7jpDnRA6l500wlLBF zwDd6(rnsA7R8FqVUAi`RdFgs;^A**BYx6bz#kKj`tqq^5>gGxi4TVotosMMtHInUD zoz2;6vT7^LmeWvEw^>U>VmEc32iJ!$u+(`TBT*U)F{MD)dIZgGj?k9RQVsU92dsen zWrdX}U$_fC8V-^zz@V8=?zoA=1>IEhz4~ses+{*-q9yUyP`I{~n$PeQBL$t&8Kk0U z{R>gNd^J|l+~2nfZp{aj(%lc+qFpy?`?}3Xm*lqjH?~`O!tAD2o&4Qcqk?Xmzp0xX zb+2`!Na*Hi-s|v#n)e;uxOtTNO#b}Oy;Bs8N(@oCbY7Z}6jdw1` zzG_yH#e1xHSz{OetFzN;hpW6I49|WiBAxKhTz0f6III{TfYrCl$}?3OR>C*IBWhA_ zdMUU{m|Cs7qlDGzFIK|pGJB(yO0_urdA;+YD3VE{)}l*4P>IU+7alShpoD%O2VM?yDQN7UIHG_ zGYKlUoGa)r27N^YG&h_Cx4uwOYB;I$Be@ntaxGA~oObi?M=V~P|KTxfzI^ggYm3;d ztGZ2Bb+fAKhVBw+c8M}oRdWL<>Z(2tF3<~>(Jex}hP&Ke7!CoSQ?v9;!Js>mg61hMEU@fXm$Bfi8~t zrd#2)RAJQwK#@B?PgHsjTFx&pOQYDr=Idgj#j+bhf3fU_AUQVMIPS*U?sO_~9Sm4m z*)vvk1Fvl{G`_-pYLBw2`>X`RxJe$l+iD{g_fW3F{2p?}eygi-hl;+nhq5|5>1WNg zU(^tYDW-P;pXL}oXNM?W?MB{_SK7VtiU*TCtn+^AjA*$>Jl#Xk=D2i6>5#Rwc85G0Xr;P?%yKP;@_f7nc>MjBB%M9$Uk4T=HNUplWE+>NE6@T zVj4Oeg^(B5c;TzETv!IRzLO4~`Fg1(Wq&Vdp65!OXF>g}OUj_cYX-P|IYI<+SXP^i zlc8>00hSkO{WqhRTK{cw9tH5S0f_Rl0m6IVK;Mm!R}{bQspi8^0tlUiTXfiZ6<6bN z$-Ig_p_i&NLe#k*9u{^{T@!<9ennA%7_UmN_YgxI)=KKh)^A~t!FJDwyP`{Jcwfa! zQMcYb>mf#^I2XRl;ZH+BSa7e#lyUex%1~Di{X4o4mgYkBdq)cu zPnTCrYlwZc;*PMqI4RfYRkrCpD`?Pf7HSFN>3E|f)OsISzZlqhKn2%&vPv}^Wn?{W z)mxT)h11pT4mf=17XxWDt-8fnxGQs^j9_gJGD==CZ+eOpe7Nar_sM_rta!p zR{0Ce98dww)CVI>RmbSIp0qAE#DG5P7+oI}PxcTY>5-VI;f#xcb7@84fDmz0T&D@) zH`jBe{=F=Q@app*%-REjtUZ1Dl(qiWI&Khju4vCbj`k=!xcPhQO>t1y^Eq8lgk%H7 zM;gxiF>sDn6b=Y+J%7}M@LL;)J?~h}aM{<9cddpIV_&&%1*HixTuX#pON3Y>t}aXe zW1aBV0~K_OxY_j`OPz2@*WF@O>Ma4C`r|WKYTHnT*p*s3Ed8!kic@Ul8Sr2cIcQUYFXDf!!Ki{q>ef)d2710nf)CA&_9Mu*CF4ddT#5`0)c&1Mp` z@V|v|gHKS0(}2kkKeVR_K*EuQgItQHaBwMS8yux`mZ zeJE@>{Q@Fn0aM$G!=5Ze$7k8=C}gF2%z{il^Q4F)qP)`+caVZ#jcihL=1>C=T?HJ} z?XQ4>uL{(ZPuO;f0QWE%w<`L5H99+jIXU^U+g?`R4%zb$=)8{ zUXgFtpO>?%>DtlZRwpsjmCKXuzp$iJ0kVfu><8k9E3(6)$+nFpTlQkAjptYg{Ktxu zabH`Z|A9EGs{L@a^=&Uu_wK4we^;uKW=EIQ<&2W*SF@`b*t%DN8Z4@AuZ>@;=&p{Y zO9!x`7*jSe-R@%;w^xMjj~VuW_+5(b4n;RdGkj<)UC&xUai)EnY?Ep4HlC_TDGh7d z1?H5f;T|s!U?{`O0~zFM^LYITps4Zsk^WKRb&Se*c_5T!hiTA0FU!8j5a0CYSs-z; zzeL0`dCA@+OYY9LmkBX|r$UUs2%nnt`@KK!s2Az#lSmt&M)ioN?ewCFjxQXbW>1O- zsM!|sOE^oKvm0> zfvT4H&9@8X;5*e4zny$MT0cojqAbF1P?X4M{rZM>6XHLQ)=%I|^k}{3KzFqM8<9|> z_0RjO(fXhQdrtgNq=B+s3L_4f?XeU0qtaX-TN zNMoE`P24b0Ii?E+D#sLIWS}lKB9gA%SwBz>(l>*icaT1ie)A+$%)W0>VQ+1ZCV=1U z-!Cq*aTBDD+&56U;5+e=uHAXz{HW_|cRq|M;=fJoy5buh`DJtw9lxu15$qn6V-vcw z;urq32uurYGOOWW%8^=l7mtT*s2bm<6N-*wuM*$LtMn}xXvi^TRnla$Ms~hz*xYW9 zhh>XwyHOmD?GIF4&^2HgO(%TQ+@29P3k!hqNDk~B_7GE1JS1y9NXZCcL`DX(Iash2 zwqtcWS@K&D4p#>cs-Vn3m1Kqs4D6SG2ab zL4qi=1H)8@ zoyqYxfUYDVlDRJNkMUCS_bxtw_LOiq*)7Tb8nC#{}cQz=I6 z!Ada@(x?&>7v=RF{cJrrx|OvbTtR&RF=oI;9%6`N22AwCjf*MZ((@>Q)c{0U4G>=4 z#r{&zZ`$)czpLHSxJ8x3Mo5p-R-xG=Tu&9Y|m<*BBT+l@t&v3Z^u;mgNjxe#F(c)c!(j6cq%TqNEzGz#t;`5 zRZw6c#Qa3a{6xrO+4p+epT*~Z3ObEi7jdVNt~(7IQO|0wI-{Y;j$_f{A|4D?iP~`7 z#(T}2r;PR?v%r^r+7Xm_S22I4H0yY=s_(Zut&SD5%kEET+Nc%Ye` zOQ1<8WtR`Ow;1sUl~i7cmP!hkF-~*#OsRZ$HmSVpmCBnsuj=~e5BWb!h0YrQFmFsA z13N%NC0OI4q4p`PT_v`%)!`vr7O|%-_M%t5Slx-0MW31(HDt$5c0)%T`Pmm&P>+cW zbws#OjL1}$#TVNB4Xi2AFKispL}&h(QkZuhG`VenHn$Cg5W^vV7z9ws$wXXF@o0_A zKy+pL3iUoi2zUn@8Dge*G677Xs3yny}!z-leoxKE5PwzZQU>rBFp1gRB{hM)wztc$Gd@Ty=>aliSvK!^@n<_7{ z>*E9>kxg0JoZ03kBOkM6iGA<6bDsW(oFm5BbO*Y@}SC@wMMoE~oHA-v@u z*9RLt@rqu-B=pFmyfpaOz@wAw8vjUxnikHz?&%Dm9ZqFz^5u>T%|rMN}@?a;km3|A3;t?@Tz&qv3#df%E54BQK*-Vm0{4JZ|1e-an6O)XCvi`S79jeBMi9^-s*c_@x%>_EXfg8`G=B_%v<4`r896VHw zC-Iv{%_aCw<4OGH@g(T+sQDV5?@G>BXsB$yD~IYq^9G#{-<^CIhZY8j(W-+EqJ+pW z6o)KI3xY*58COn-?ertfy}%g{uio;8Vesp4QY@YH%tw3jbZqd z8UAI6XOR2!JbQu28m5M}8N-ynfRKj?d#|%wie`wUp>5GHHMDI3D&C>(zfilg4sAh& zdlH1)lOQa=-kv8A7QLQaM0bW$H<>z2@`KPn%(r{F!#OccW16BdA&d-N#6pefdXT22 z>z>2Zz<6;*v4I+6L&(?=o?d9r76{qto#cY!vF5jn?DgVF4e2or2_Zu|-ZG&MYQtQ5 zB?i$O6-5MM)R&7dG$H(Ex9S)D`^Ol< zXQ?q!$mzb^w4^k*eu{csVXL35-scSB^A^|P-HJ@frl94czCwP6Sp#^fYS3QfH@4J z%wdG>SJ+<*gqXX>>GP-UhIn(u;Zs$!KPYQk14jM#X$;ROFAe2h*=sk&HmY-_?eL79 zo$O|J?McCEl<{$-HWA6WX-Ot0p24&tiej1c0X*FR*+EKzg1|w-3Sr|3cAoePR*?Lo zkSv;KH;XriJH}(+TKhP*0wI>yyv%I+qAVwhm<3NsWDi%hd9M_!)U7zFI;0q#w%LH2BEtF5=^Qrb1^?Y_q7b0%Z0Lo%*mO~4?R&m69N1yqS$oF$aK zS^T0%mH3f^h0^YZ$Bglby_=rH)Pcr=jdn)HIgQ)~pr?mBN_A0-+@g5B<6y-0ga6=@ zc1w7@!+($fWQ1Sf+BioMqjJd2o9w;*w^cfvexB#}B-+f=@~V?TIT-hDwg*(IdK@{< zwbMRbp8|05ahE{QdgHCAfBSOH(@|X^PpE?#>=^VUtHX}LX_TNGgVV#K90TaUf!w5y zvgTGSUtvNW`$TIP^5O-Ug5f=I<_Ow4dZV0tmpuo^rW2Rgyww&*ruW=zs|od5BY5H* z?w<2iv>TyzrC~XcGSIFxMDay5BUKdbN<$R)=^(&+;^w#nW@-Y9BLsXiN9c`lYg`IQ z=1^F1uYIZUfJ15!U*MDyzqd%Hu<**Y1bH#bAdI;Be&QEj&JeX2nk5ATQCg8BK8K@KzhwBe-Nm8U5B3m;;gO%2(d*)$QBjh#E0xY0wFbQqd5`P z53DsAsiuRei#C=jP{s5{$r6nUq1&TuQK&XED!PJo;z;E>+)+_%AjjRwV@!!k;hqE= zeyF<7dkOP2>Uq%RI)fnB86o%6OGp$k-Xr(Z-*8=>F4|2-QsXWf6u682ixVoN8l8-- zB_$)K;;N5Wrs{sWwp??!(@$rOQnE(qajhY3@x@QAVxu2%Ik$!s9In#1K?PhnI zCil}jBDIP1({5T4ANSKJihHpdfJgnbqv$)IwV%RG7_LZO*CIhkA}QUsv9574Qbbkp zc?`q8swl%ikR|fBhZy2mA|bhTyYdpN3UhR{$dg7_P~;$X;-%#3bVWTqW{#gc54-L; z`wo8-5JB(OSd~MMm!@l@Wg_}@Et)eYoNzn?z+!KI=)@4!WNdPKBCR|YP1629Z7Omy zGafbh_o^!_a;osg3mR3Ps0mv{lPnn{l~Z+ts?~0Kt9&7$acpfpx$Gd^t4$H^hIr;_ zy%(|E`J&xktRJm*#spu&(=mDeb;O*)|QlF`T`F7u?o@ zXXHLDguA7|v-@t*(VY2o27b z3l3qDG--^wSppb@^3vDs9r1ls!d_$44iYVYn*4PVD<^Ei8}>mThJ;)9oMo2BNvdQ%^)1ZAB)I6{ zAF#)TTC>MBk@^qzxTd3U<#A0P6XkKiVDMDTfVb@{>EP6qckMOul6UNv#nLfq8^e+@ zWr(a}h&#uq-3zx7H05k<93y{w&mJ$H(4QWS`ovQ)ht(%>XpEYQIfnA-_y>OTRLr;d zPE#@X&2A4!hCj3~mp49X*W_bV##ogxd92Ea-}67RJB#eGDkFY78QEW2LVQ*YRH6*+ zFI_B_pkSJZnUBb5SE{1Bvps4g0-wgW75lMO`q^pMZY zV^{#1ppuP?PDc0LQ8L=!f9XD~u<$M2vnXw5c;Oh2pS1e8-Ak+)tEN;|j8)wwLhdf< zqByY~ku;@p*H|^Bav!L8{h|T%`)s=fK!tlSglsSoau;#SSk*<`1U}Q!_BEPU7#A7H$FTqu0 zudHT?VhBP;!wcpuI00Xe)wCoUP^*#(@&*LCv%;P>6sE3XEAecWM&owkN5+&cxK+WrYQq`9>()wM@RwdbyShx)$Y6~m8b#-pUMtD?X_ zk1LO%q*F;maYy}*8}()k`S;F)Jl7jEx!wqQZSL6jc81|U4KipQxM%AnXK6^cE$XRD z=_}gu89lWKj62J!X%(z7MpjLI<5XVN#HN*>|KgAa5@H~#i(c&tiRV3TfCf`HHw#UI zy15x>_?Y+*J;$kO({2R9Y2)?E2L6bB2V(R%?kl)+9_~e1_Q+56mxdUQRZMCRLs1IBHnQzkyIR&cZGr@aIpd`9E-v#MM_QFF z6MwTa#hw@{>wY^ADn|q9a{lR1ig?kb!fQP<5-KNV`~w!%k4p`N`|+bLiAX>GPZYQx zU#I!D*yS7d;{(ays-8iK*0X=qA3q)+Gs0Em!V_2q(~CS&Ipj-!+IRb_s&uK8POtH3 zJ)yNsCxhzBpZTvHS1FtKUrw%!ueFi)Tr(@q9R>~sr8Q~3&`x>Lr#5zc;y$2veWCWa zFP9KHWAmc%vUgmlkkiPAT3R{PG@6EIpm{znG{IMO@IPR1W_O}6fGst9H&e4ai=z5g z_BEhr>}xzt#-DwSFiKFqMtFRbuYsP9eT}~HAwF!nH9mB^SUg^x&t68=((f%Ijt{EO zA1~ie2;FDgN#FE!j7AYmcy^E2;#*dPcWQga*GR)3I{)EF z{=+)I^A_kQW~dvzLOE~(-e`PwVccx-mF7yhhbxF9uK2zfZ^%Q7;%??Qa_I?)Q<&7E z=RfhmVNIn8D4w3l{bO-lZ6k%#s3YuAiPVAJ`)`O#legXwcM*=lGBJ9AvfczWY1T?b zVbaW34@BjXxMHK5ilbRGBxCO@XM*SOdUP3Z!6u8e3F_g+FHi~c!j6yUhZp11CTQOa zrNzxrcT;>iUO8S5o%VGSS5JsJwtE98l_zCkr#N9%$95M@P{(#x12mmtpAD+Y2|~Fz zx4V|e@LAn$_@e#0D*>Gxw?EQCGyM-zd`9?wBH9?w<@$={fRs>C()zdy)Glf_6Tf%+ zEG5L9`vpFK{L_>-GhAr`Idb*nx79)yf)ID92)Ro|_(^)G3l+p2$05X1$MG}@rjFwY z{HCX+P~&~SrgWECHA1uL2cOyBS0l7Y9{WVzxLu#Uscd@VnpqFP9%r>Qu)-{xK;v0Skz4rNe(xOT0J*>6>>OplRYW7 za=4pKRC2$z76fu5#b<H00?!q=dB2hZv&wzMfqLKtcb|CMq9l8$FZd^p;bqPUZqLReFK*lSH1@xPpYOSx1 zBtVEIfsiGEFsE(^Co(1~N!*KglEelSOp++YZ;}MC@1eJcn-N}R&48H=>ifVz?{U9R zWwPN(n1sLB@FYxPgG#dFyGk;0L*a-ZKi(X7rBPch3_ugICdngLruL8n9*b)sk8X{# z`nHOqG)L4?~lVT+~78x8#7Exv; z$r_X7%+%!EvURt|-75T-(}#@kR8@H6vJ|;{SFl3_TZ)*1=Z$C*VTAXCE&Tl`z9$_?gSyPEGN_Nv&j;aSe6J` zmIzN2g@y=(+^SX~o@9AFN+wxe3vSRN7f#rMsS5RH(WpOY8fqxt*d8~FrVyr1wx237xQrlte_DGzCMI-a*iZm2P_$R8Ul~e!rR7 z+hTlQ-uK6sKeG4i*_r+A%Q8B;zRw?#d*%gD<)tQ&UWP zCk5KO?H;>=Zni0MlzOqhzO~p}8=nf|MGa72kBqHWtERzCQ$Ty@e$OEzjDNqI^x*iWms+$Jn0qQtBATJUM9*`GN4Sg*|24oZc*hB88 z0|TVorn5OeE9M}#=M?FPw$^+0DOOlY<)c`T2X^q@f z)lF1Gv*tJba}U6p1A+rk;kOxp-}V<%+Muz!ldB=+C-@#3KwlS5rE&L&sy9Hw5#`Ik zdE{_JTPl_4L%nP|`@9)BN0%*&yS()7JwS#VQXXzKnz-Am3CN^a#Ml8c)Fy#NsCFKp z>%4{?c8PTf&MOI4-D-xkLZ3a-OmQP3~YFeF7%jtxT-u*!f)jV>hCwX z$LjgZA|v&mZQWkorImY>YCKSS(L)2J7d^nKnUTw*GSiLf4wP~@4gYDdh)e1C;boAmt=}SntFLgN@Iaa-nOzKNp21;Mr4%*PZ zluFlm^(AoOzJ!$f64D7B++C>_Ha<&`Pn~H7Dj>5x71uNcr=e{$1(zX^GUfo3)pr~i zNPWktPFCMt`o$yuZcu%ENYIEU-8}>9Yfv-Fp$DFf>*>`mb$gP}`pqr#M@ z-LZPyy-~JKI3F3Si!^i>(mgt1T~~=IDCCI^5(n$KIl_tutMpTEeab2nhj$MANRx07 zBRN{JXCiAT@MpEUkQuJlwxIB1>chyDhmPF~z zEA2Gta6oG#7Tx|~_h1}Gg95c(L#TM74+z*!j6D~5+?qkROptDhPqd4awfpwJBfDX1 z1Qnpb8q6_TRAu4rlq$=?DOAOs=sGVIgVoi!?wUA)k*nES2GK5`gy*h39GPq#335M3 z+^ecBxJ_?69s3`u7?v7S-MaMmD!2hRf>nGKUd4C+LlyiEQ>32K#9dpVQQU8lQooIu z;J`ICDe;dg8a_yz4!x$i z+pXt45*x3{?Xc#A@(DT~|Ah}b9wBVn4#1aiSBJ6*z)ARTY)H7m=3MdE(kjgeqI*yf zG^yyRkHN8GkMnf67{0w6nMuAKiHWDcPr-qv76^oK(=<})Weya0eeJiqHJ>ByO z*qr&59d7x>*5@HqWYDw)HCdlOkI9n_0%!=Y;axN3pYZOKakgl$=+fp`M@WZX_$c=LWO0qE?}WG_NeD(uqF6U=y@* zggZxV$MS+Em#u@v{2*oX)1#bn>y*lN5k2WfWG!_Pw=vCN!wt8Qx0aj+yHG{Wr0cxw z5O|UuQlAJDs*7LTBO|1KG@NfTXWAZe1-Hov{q#TZCnKa{hR9s#=bx($3Fh`aL!?9c z>q#7v|8|fiQniBhuqi@)+h%(!ScCOTl67}j3S+1aMJlvBeyQ`P@ zN5#B6#4LGU9zt4AX4|9o26+T6&wt?|OCG~w$q(o)?*=&pP$c{}4lG7+V9#TfY4_Y< zyV;NZ!?gR?@OHm7)xAg+9?IPq{zLmgn8(n3c4LbU&8KP$4iz^RX_e{jsR}9UFoyV< za}|CK;$eG(;l=i*9t|t;gfO(&-cbEyZ>~@mW_#0#kg&b!gsOsTpGS0ynFxINqe`8A z#o8wgjltSS4IZi+{~3#8=zfb_p`IHmkCCV8>@;_UMK_B%@Xa^;tR6QQtWEushKhxG z`(DI-hRkx8BOdJJ^v9iW`?3jSe)}?sScrWYI8^M*{y!p5yY^6if^XMQu`g-8Tn!0L zL$NP!LP)gP{cY4i_T@B{PV@l;+n0ukV#hMCz3Mz zHot;Js7={H*Lm3#@L`)`r^=Yeb`X`0N|gyj zWH}ZhCCf1dNDVDpjyDYL)^OTUuBiFyM5FpT)0RqH3z!K^6fR3IB}+NfMrH&l$#ZJ80UzHQ08t9#$!Ra3b9B5@}&# zOIzk%Kp%LX==WA?rv+3ICsUQ6ep%3$`8@ zJY+p$2hyMs>oG}Z&p_}98eroQNBxP7$5;Zv#$zmMF~$SV%IbjKNb*E=u@+K0%;ITo z8hI)wlmELm{UF5eb#awr5g#p z!&IXze%SXwjHIS+Sv1P44xspdV*29SUo7_bsC=Ri5ZE+Sx+iKLz8S>C%^|Hf?%mj43f>G;=elodenj@MJC$iJTT zH_@VB+(heHZlY_HJV4qCSo;b#(p$H=(;|?k+g6BLs5i_hTta7-k9t-mJS(BZqR;ZJ z^Ktm$uci`?0j4o=ZoB(_RTO+FTxcURyq%3e;csUpqLy}gL15Y$qu1_mk8ri2n+d*F z;6TTp#0Sehin7#3FJ(y^Q8~Ay_qYeUw$aT5-xkyUQNgmWnf8ySENMR~=k^~%mbCvk{o?i?4{!e{)BZzy z@le$7EFo+(P+c<(zJwA#dHB(dUnuuR`P47ZO2F^OXC>hGJ*Ot%cPWVFJCIXH_+!8O zUIkv<5k5d>ct=Pa9u&lPL@k2&=vm`5)s7nOs)90*L8am1G@V;44{d^|VwW6pN2&6- zkLPfz!El+->l0a`4?x&NzIVtyNp%=5tFyMl#d|^;2o9+M$fVF;-{BJa^MOIAB`QbP zdHGJ@!u|(R4*emmaTHD{QnpB~kPr94!Y5|e;<-azTvFr@fY~5@6ecw?NOX$qMt7+q z6RAeFM_cF@D{>1e3$;fTk7L2?*IAle!~-sfd!)niBSeQ~h$PVm5Hig*jvA@zj}RT! z86i4En%4@u9d460TaOTJJ`Pr)+Ki*?ytD~^tWBisP1YG<>CulMoQw=sXKmadZ?Ft% zAa5`U*Q8H?XMG+FlO9hneF1_dn7&jgD^$}jR;WgOp$hH!j=K*jl;b6L-a!a?D_Tfu zd<{s3G<6s?!ce8E<0C|khewDS_j790i1L0lzBNMBIRAn>MZJa^p+;-1PTt{uFyw*w zw;=GFrMHM!w74D(Gg@@&36Dngbp1v*6MT1#D%-Vp7*zt4Evo!kRB08|x8CwUmW&z6 z>I4{8=itYp#^6aY-{*&^rACTMkp>nuc=wJA$cq^xMVa-$C{&q00Z*RF1SeJ|QdVZE zk(S=oI_fF7uZ@ox54QyFkv?NkJL%JjYtkoL!1`QIjTH+E-pvBXz@T?l_&k+1)s9 zG09A7e|4lN5tEBkw|zXSD!zw+R^Y2E^Kd78K<)#XUzM*C3sL2Qk)q1KuDItpPg8z^ z?<6BxL=VKj=@9jTI)*ajYF-h99F)9BMH78Mz?y6HWYk?8-7A`PWv>R~<)%>uU4ovXKE}?>;@bOVl$KR&OV; zkzo*Or;Q9j4W)F6iqTu2j(Rw55VcFHoH$A}gzXAWJ+y076(VGl*$;QZHMAIHehp0| z7NVg6XxBP#MIHNRP9a(`idCkwPQ&SDVZTn4i9P^gg;o2; zeH|hK8#;#Uu#w^GMuuCElD0kz(bn~F2CS{SxwW+%h4R$aPexlmn3}E!Yhq`d0FyI5 zfNBZIj>nc`v|cbUwp8KKesxu&U#zZbqr=s8bE%5buYDi#o*Iz7e0a2( z_WUwy8;2}^eNT)I%xsA5^oy#5&+#3+;4ZEn!i{iM4FZ*4RZkEHk$S_?GMF0lk6Ps# zOZf@D(W66VH-Ehab-UZ}P)49U2A0Y|Gbp|@i%1fE0Kz&-`pNyfe)m0h3N*BAwDj^> zqotS6L<$Y5J%)5=I4NmIogb~=nPrbk7>;{+D&-6c(2Kq&4fCBr<~)R8mOu7CO>RgP zh+=?`6?0`Y52V6Zh(8;>$T5D+MC!&D-Gyn|;tfGN?gqxuB9%CX)uD=w2^m8veuR-Z8mV@-V3UDyc#oL?uOV(lJd{gNH>8 zbG4)V1Yesm`ruhls*GLKTUb4YQlyC9U=Kw&dr-kdUlm>RQ+EaJ{>!~fjTj@LpJ7PJ zcf$tj&)~at8zXvHXej4}QC6Sjx>v15GiTX-^toOUc0xCV)Sng zJ4U-B?bhnHXeZ+4n9#ujF-7XX9CiU+Bg$?Zhns#3YHY}`xe;YoQa6o~zWJMyij55_ zN#VCq(zixQ#m7f!R|U#X@Rb{zd))XT6jG(fin{8Jm2p#tNU%j@tc;rnCq`we$Hub0 zaB@`R8_-jou`+IIBc*XO(2({ECuN0A8XHtt@njUpQ(@zXacMpr80R5U9sPoJuuUVF zq_A(pgvCQAW30?U8N{6x_B#Dyg}n}F#$Ujb{57GzJVrsB{j@qgRtC`VvGM@_+M1|H zy?>Svo* zHQw&88jKT12V~vZ#Pa{zbC;U)b(@IbzXivxUlPolvicMy|CR2 zduE3H?&gChRUO^)toWz9Z8nClN!B)`cir7chD$r0&c)6jSEwqKopzO$A znU>k7tF!N@_G+JDv^&5ETg#THcgIO=cmV374^D3?W~U_lV?*A?S)61lPMaEc2hs9# zoV%uyp97V!XqU}H(9|9;&v6RsY?ob%o(7^$4#dWf&!-#g5lMxAVN5c9W4+N^69OnVRDg&Vd;oyPL0Tr2nzz>dxmbCp3j_=bm z7DYXw2BS6fAZNgMd2GzxY;GBtvKtRZ+4`HsuxtfhjVh#XERHImFE2*?d)jyz5_q-) z0ni7|Eac#)42c1#-3*CwU>bOuTxLmBd8&rjN!XbmZHKOt)`QAF`HUkDG9vnpm&wOh z+8*u7q5K5jj`1=qIGhWAps9Kt@}s9br%?LGnA%P%m*_+7thLm#wohFZt*MLSWk4Ve z4v5>x93E3!8o>{ae+G-tA+e3F^BNN1!$SfouZAv;xAb4jqWV)stkVxgr^itRjfW!; z2|XjJF+m1z)d^u(i&wM{t40%KJUoPyCd#V%R$+7tkh0-@#*jW8PMTEN9;}8>kYV7O z5PZ0r@Q>hAC&(}uY%0P_rluku1E3E~J4!heu+Cu70W3TdK*c;0^d;Sj!G(T#08rI509;fx&jh#W7Y~5js3mme zxVDBJe3FS>oDO~Zm8d6G9HK)s3S1NAaVC42?bf5mf43&8pDH_1LIOz>B_vRSQxg(! zO$;DPm?-@n&o-+OFSh=X$PBmsEkWV$>j^|HeLZ@j^z{|B>>;ksl%L@1I8pjKKi2f4 zDx^A0lny^=B0gpoSKCR26Md+D*nM_}N=IvG!^DJ%($|p&`+6oa$@nh>>05S}DjKw* z3VWQc^Xlo~!aW@+8-JuP)v)QjAcan7V4XB4KK0OUg_($~aNz&EhCJD;lgEetq zuRlpp)}7=RC8Het5ayN+*ilUKYzJEE>!^|Y`jaS|FVVFEbL#6zFEy~Ar<6tZr~y-V zQb1(f*`Z$U?9tS0>Fm%gcXq0qI{OAv6L9~;+y)37%U35q5N1NKV-u1BETpfg9>BG1CCh4qg=*Z{r&~IQ&qQ0@sEHx!0GVLsM2%;ZK}wh-b@C6Kk&WuGuNwJYbNoKh`=isI(=7EIeoQ>ovzjb zK7H45Z78u$9^p;Yr<&S{MG8#zH#vrWag$>vhc~%nGrLWo$>*EdZ>X}9WoRc&&N#U(+*%S&FbFtpjo|_sKu-%P8PE|s-wN$bqZx* zR!^jhS?%1(9)Cv=jpi@>x+^bJ_wpXe<>0$?Nr;A-h3cK0{ z5jpD-yX2xqcZ#S2Q^cwknt~o0^1{~<@XXVyf(Khwq-<4@I-Z8Vf|O0fEg+?1UcQ3_ z=^g&_=c5K#cuNlzYW_mt!&3wdQU-&wnfzcnPZ4`n8Xroe-D=(P3ktj#6jBC-^iDT` zLdu{TP6>cI_>6rLpN0wInP>1IWjyPGc-G{?vmw8Dz>D!9WjshL_O#zuNEuH?5DyD! zaxZ(Kbu9$cB?Ag6gZe25>W5sQe#tK=@M2I%85Ghjee5)altF!z3shELdx5GpRk~26 zsiHNc1V}xMYnqiC;c(*Aox53CLS{s zkTRM}2F*vg&|Jwc8ZcrsNEr>%p+oIA6;eiXK+ss=k?&#MT>kwrjgeO$)IQ<@JsWkUsyc-PGzwg(@vd`KcgYnq$W%=~wJ?MS+6)#o=~r!atglUem29iTBh};N zeQsBy6A=!wb?jLrhFMqkEYRiHvnWjifIW*B0aT{h7pH|!vu#J(Qv=iNA0zEK_^t$C zn~go20c4c@aolEVsJJf&rilqJHO6kJaGy>1dSr&1@DD)Y_lyq^wV3dY)7XUP-265w z)pCALHxhiGioofuhNa&lTy+hF=o!l$k@8PeD$$3E$&t&sb2F-#rCie`q!q1e_JXR@ zI^saMpNy7%KuU3~3e#m8C_6orf#!JdgVQ-4T>L7S=V{Jys%0-*LR$BQ)KPZ2^aRww z4jy5pxYkAj8ITaGq2+W@LrYXIYDlAB?CqohTBw7!JKY`^P(zO?_7pX1x;S_v+3>bnQFLBke@cAFg3f zz1-kPX3EhD8Inckks^ycb-X9VrRZb@WU;dj=6tSIEdV#IYdTZ9 z0tb;FU4bBSEwqLDLv`E z4s_^(b8NSc*@P|>sfVqw<(pI%^VL1*^Aa~96f!D+#RDB3k_UPU^+Xxy7z#Yl2?Rwv zDv-2zptmMCY=v8+J~JWS+H7wP7+{X<6)G3qTlGVuD6-eo`t!AobQG1VS7s31$Z`!lfkKD8eu*(Drt{(9Xim?HU(b=nD411I- zRFaO$of=ckD#lrSpt56@7_bVGMFtF6WWX$(HJb_f@k?Z=)GvXr(OM4s@3JdncQqtc zT>V=l5VA9>&8(pL`kIKve7*O)n6Fd2?X%9VCjjJb=Bvd%do#X$h1=M?ksR$ryU1MVtX1fkc!x1r7cY+>#|v-SN!BVZ#&57L z*U4-Bb}SoQL+w~cy3Q*wI&&6}PT@T{JMJF&_2z#2ZH0S0LgDGIML$Z1c*&HJ)qrFe z9>0NjLGUT00n1^18wB<>10%DxeU_ND@AC@}EZKMDd(mTKc2OW|4 zBK|;Nme07t55wz^0Ixrc{QPHJ6+7UJ(_7xgwgu#5&yQ@Ox4z_jNGEM@#^{>|oXIM7 zwodvWc91GETMh&(sjZz5YWiTSDCO~iVDYo*T%r%q!RQ_zdKEuAfa~7bmd?KFEF6I> z-SY}w3~wwvXs=&fSV8^H=(u52WpM2J;lxDL#ZggL2B%yL4+WgV$|`RqH4I0WU9d}A!=TEfXYT|4;kg6vjiCF;e#?N|7>fOhjbBPb1 zN;QufAsX&ITTZ2#f85#Mxs>t~d`pBgonu_EP-sz1mL&>QjdN3;sQ2F4G(prWvI$wD z-p%xj)w>zZM3;8WxPVin5`FkIEpNrY{ek^BDP`O1sSYxmk5zDZ zwjTSD{SCIP1ypc2SpBC^!M0sauR1zgpZeG?YyBWBSOa0@NCS;@`bE1Gm1Q-6HLKw* zqXy(BUb0_P2Ow?QTlB*vyOAoIA);@0*)AJdIs=-v(p?FvYzCbN+0shV_Ho$e`Oiit zsOlLad=E;A@WHX`6?+dcVYxTL9V2&dhRD79RlC3IQOZy7HP4VW>t9#xmlX=MkBV!o zKf8uUB)H&hr9-dVscKLLc@Isj3|;?6d#$d1-FE23ry@N%EnTI=^(S7UoUs`?`BQtI zdI7*@+4b~|PwfQtdYI_FD}QNs*DH_Om1)LWnxWkggZegq;`ruo;>fF(5OJIgiX-_qyKwQ|scB;a#{mi~ zKF8#=kaB$hWLD zCkL5jEY)U?JT7TD2OCcDu?29TCrh~Ghc!N=^kfOwvi_SxD@l2boLmbPo6gjfe&*77 zwK)NuZ~xvdA17tFT`8z0_$t#)dxvWwF-Y*u2MxXAQ-k?&**Pdn(?&{YZ6brU$ddlC zj()KW)`<*UUJ_ZNuLc;>D?T@Fg$$HYKiHGhK_iNNb7-X8EVD1j{~Y}^9V7Tn?~EGy z;9a}29&;NzQm)LAN4frrWUpf{UfHnU*KBWLsPc0)_OAi}^xbkpzlE`8%qY){Lc zD+6T(Bd(@ioGZ^*tGn?*^=p6GDQcG~u>MmUs1)hM**gv1lE-l=UTV=D1Middg>Zys9}b&>_3Wc#`9!PL_0S$RuFm-iYz+a_$nSIYF7n)nbfX zemly;%*ECYX@PEh%dT7GZRCi=&(SZI__=V2*8&cb_>wqJFOvA6LZ0nTtNK;sEc~3WgMGEceCeww#C`RSh(o76t{kzS2XW#! zK@!H*pfHAcJmunkp%OC3e=^UkkUgGRt|s%j?>#(Udgt|Ev4-=-?RhQUv&Qwf6l*8N z3YucnJsZxK?iu?@Co(_Os?fzaN9%=ywk7tGhc+=D*8&E#*IFC%|HYNU~m zYo0~V8bRWk1qnJH^pmKG(p%@#&s>9k44Q77rUw!{72~7~_m=VVMWC4po|jxd5p9C+ zMjkctKilD-pPyfl zulZ=EV5ne5d|tJL%tw`Ua*XFeIJHZvdJ5}PWj%%B1PlwmDn#VB06DScJf|(^R)U(~ z+syb#1#wjvJeS{y^5p1L4Q-le;3%?01IOqWYv5S82C6I|4P;S|=EcCAik@*=M|;}o zT_rs$b*qXVr~ado=V3k5(f8_<`kpvlXHYcW$0-+AM-9aR z4{N-Q3bsZSrbi7~h*$z0Se=pLsiGzc2(?-@E=Gu@|#4%dD<>iW5H(8@KbZQ)|nIG5g( z7F|G10wskK&}?4Awpb{k1mvH+&of80TqxFq&$KSGNY=17U$J5rt=e8(B`@MLtyP&t zyoyz&7D@P^+9FxO+KZqUuU=t`>A7 z!PgAz=vXb@AL>_#N1-gg^!xN8d6wOoN+S8Hh(DV5 z1ZE?XHl;kjNH#UiA*>-!c0#d-t!Tl8Lykx}7}hdt(S9n~gERK49F7~qJ|rwR>T)_??5=dHS(NC~EgdJI_M(aHa^qWu^!p z*Cc#r1A>BiTd(Tkc}ef95orY9JyQhlzmK8+Os28I-C}S?@Q_RqdRPIm!X=*Yq^fC| zVudGXvNz!zkBSi4DXXox$f7#s-pHEjB~wI85j7s)Mt{=NNxfn6w*>Rq(B`U&3~i&| zz4u1=Qb9oWwE-GMT7Do?w2b^!ojhw*eK4jNVQOcL*UxdW03XEdI?3Bk-OSXRCwU)L zKR_%{vidGlZ0qltqTp*JX;v_J9hmHGs$)GkrVKn-%LSJNH1`PvMp}OEY0n~8QOZy7 z6<#8ybzeMaP=F0;9(>SB-H=56byKt}aW& zT;N;YjXZpeSXXceHKw6p!;C5Tu$@3kb|Rwj5=&osC~`Pez=om$@hl~VqW%(j!1UTo z?+CTX0K$5K0L^1SZPYr0Wew3)RjEtFmTt%|An;*8NZD{9#TUGB3S-~MepCsALP+&* zpxX8EJg=@9P&kg2KwUCY;_U=K8Du|%A*=dJevw^TVl8Ta0^d%>$CYT}0&|?WR#yMD zut1_pG?~S<%ps}LZk=T*cZq+LK3M9Wu~s!zJIIq;58m8*s$&4!g_IlqQFz1obANRu zkDq*3KpSDY@nKsM5WZayiEZcDnTH<6UvNn9d7h;U_B(g^Fh@V9d9bQ!I;YDZ54KOO z)G|7kY4P=!aB5yh!G1TtvCY&HipMysrPGIa?gtAQW0N#5hRUSU2+{cTgzpH*{7JW1N!I;wsZdujNHI0JtE;Ttw0z=TzRlt;wR z8YjI~jvPqbNeAjj+@NXl6Vyu6TXJ@Haym&yafvIK(TTOH{a z+v$!=WtN0i*txE6%&r&!B9BN#H{l0n_+jXK2k3hn`Wbi<^P74^FB$1+6)^AxM|m!) z2}{MmPhTnq9@jj(j#+A+&_IFO2T4elV2Z z8OndX$dn4#>|+X8pq|01MTQOTlx6v*;p<~cH# z%4m+v+Jf%_`PM_im?QE2`oSI^98NMEy|tz1VTJrZXL?>xBbSD(L0aNSZki(lYmg_G z$#-=+an15woes-nuI#x?=E|na{DTcVlV^EeQeeZ=rBIk#qc@Zp;Yl$YQe zM+|G~tXHDbRdX<;Z??>%Jaarr1{F*6EnOP2?C3VnGYH?$=0f}pomZEMX+Roq`0+JT zD!|{+*}F_u9|s9x$m$~$ahQ1kBQ_66**v_u%+ks0qEoT?(H;S&bei94prsW^7Mf2R zGCD2v%)`#%AgbF26;kX%$C>y~I+9e}OERw%cuA&^3(I8cEc8-7p@ADiL(0%@16t#a z(b~Gr(DZ?8QPJ2b7zS-sCcN9GFNqy(3}y@=_&15 zLbb3xZSYb!q?fituU88Vq`3wX(t!TdS_A2oT#(l17ZSKJB%}-pX~ma3ixpCaG&>ih zhn9PAIH`ej(Lh4VE*PEju5L4=+Ey+^Kj#+_m@y)xj0ow@m7Zk^DI@wYh-lj?pU*~ z&8wb@>YBN8IatM%XRs9iA8P2i6K_1;`FjmDm1~6_=JD3n?K5Sa?;rFrEApu-2!mCH zlvRav&U(*wg_KqGY*1Ca$X@~DK;BCROb~f5vv5t`3oI;qh>JFQ`p^Y?h~FQIPE-9? z@RT3Xdj%gK*<8b2sE_T82+jF6VGf`v|lh2NbVNz}4J?y*AVspVTe z?OmrRAMfI=5TEk54O*$E!sqUc3-N5EHnOTrwo83TMsSun`i+EXFoHYEDxY3$~|O--$7 z-6G*sR^LGiG;I`m(=$;uTggyx*3pzKtY{v_B@L>l4T#PJqN*yrQs#;nU$ya7ZI*$3W4zt{)f1T+*WLcinPr(<`+*x&-YPgkg8XfkbtIJAF?0G+#Lbt*TQO`RB00!lSm4TjDMX!7>I)$p^h{3*< zxw~J&s$loKKrE#D?O!R~Z|wWg9h{X=2HmfMPF@3%-{DRwpUsu4X&2g_JvChgHE&h@MkA#z@l?GIBl zcSnHa?l^@&a(9f)@^{DBtnlvm*h$Yb0h{>2wdki+xh(0E$ystl7EEGO9sNo4IQ3wb z^vSyV;0~<7>HLz~{8KhEC!-S6Ya#!f!iy2V+R9`=0G0ecw}Efdi{5GMiOZ zIygDC1esq|3B*EF6|H;j_f*s?zKdSu>P*=X1&5)AD)L7)hb--uU?6+Vbwk}pNsxR`$eE?ooSu_C^l>scPYy)uc zp%PRttLzf}VwGJ&mB#RM@MC0X$brctE?^bI!4Lc}^j`(&zcTdx;78^aJmkfN``^y( z>Q1&iT~IG`{KG1sYo5aMbl#SVJdT0>(hYa0NA3bES@C|vu(e2hdtE#78mUZ>Omt|eu`enZ=QD<6G+%DbrJ*QjF za|JhEVUI@{(+Asv>EdBJ+&=r<_8VGhqj&{G!%Z3Dr6ll zqhG8;tSC=-3j22l|AqlU`&&kR>1h!NLw)_FXQq0?s9}#(%W6O#t6>Z39HtzzMFZ!# z$*cj~@N3{4$}EU*Jb-gfS@L1GBm}kh8_%S8=fyP#Slp{6 zmV|2#u-pJ^E85XZRl*0OwtMSYtA(zPp(}^-c+E~VHFUV<(8`UMd5c3_E+}NxZ^pz| zjPPAUh4lDg3))GKA2z(qT_NHcDqQ(gffo4SjHAAK4T`6S5d4sL%<5bLmT9OIA1+oi zR?E|-DfsR>Is|W3o(G`xv}yQie@8%#^q_Z9(v60~9Q?Q+WTS}D@JPU?2NL~$^mKP^ zp!@{iy47Ng{`}E1PN4wrS>AISive8lV&KeAumxuzAace|tj?M8v!}47J_R~5p;wK_ zZW)o`nnm`P5gD#YWY$GOUp?*w)hc%4V^A82)z|CpdJ@5$rG+o--g@8jU>OL@IR52d z3EI|=gY7xGT0R>)%j0Mp;jE29Xwbd-*2jp)&>P%*0(n|ZM{S*2%26P$_wZ4RjU;Nk zB0gDjDr|hRCPbg;11y>-?dkne2lwgwZ1D#a8$iX9q z>w;17#r47aU4`}JqK@kLVgj?|7jQbiA|@JXV0N{JQGwcO=qqBThojn1GhLmo*-TUW zLlzNW!e$yNnQ3ol!pov;!+UE66v;@{k43~c`6rCmia83X|6V3~F(ilz*zP}xifGB$ z1g)SYV`E&C&4=*V<{u5yCENU&XcXD}nbZij7dz<}+l!sRPd1-=VXXbAo?9rsYoL=A zamSCf{rN zyoE`Q55+F`YKVZ#>p$x|Iv2`}_?P)myQACU0Y&s%4?3RGlg2s<==~2mp0*w^PPgajaF*YkB&KP;0FmoUGr-Qi*Hzwhnf^%%1VQ*or8;Rt$o= zZ>>yBHP^~q{>WPK0dUO|Q+uTJJPFtA0}$cmKOKXW&k*)AgkuaLuK8H0nT8P8Y(NUH z)%ScEKSZrEbT1jYO@bF|@L>mX(9x#E$!khNj?}p8zMb`xlmX|n)!TRe}_Cs=3wsnlPT;)&*R;$c9aSZUy zfSD?39h)sxcbzOM@1rt_K2#krS%pRoPwU%zVBg_9Std=;$&FojdB1*Sls@0l(M(tC z;CMiFSSM?jw(G>0Aq^NaH2|5kfa$wVESV3Lg!a=?be)$a0~h`#+7!b8*ZfU14%;m> zne*1kD42+wbZ*t+|A9N3ByeSu)OMYvQ#(4=D`fCsXaz~pW1mNHD%I73rQ?Udu#6Zu zq;Fd4z@Z}`4*bvA)5+1w!o=+N8j?n&CbdZ&sh36_6K!u{y`ok8zvIHl_3~O)alOpOeu55k8|VeY`}xJ2q7R`qL8ey{w=0ln(JF_08t-M@xmVOlsD1@bD1a86hQ$c7GQaG}|HC;*-&$ASo4Y;hc zZtDZRn4-|pPxk5CYh-_Y>#{1Y&!;)c#8nUNywrZ|Djnh|t+tu=Z!+yi%I!a9+J89M z{#*0h)hp$<`J1Hqo22=h{@(ni`e2&l-cn(>{?>XaR4lJTXgsiT<2M8w&t63{j1}@K z?!(|Cuj1Zy;#I`zp5@~!>8-upF)r7J5F1!NXK0uB^_G>$1s0|CbE@JSgokTGfCu{x z^+R~n4dbENZ)ivN?^o#hL6;%4>xV50T5S-Q;Zajr-C$+xGmH+YY(#iv1G~q+ga_-? zAVf}MR0dd(n}CYhO;~{9`7*!HZ;&_akzVN$pP`VlP-hrSBZ8RNOTc8pUcz7G!^m0? z6A60>R5z_3CX#VuFX0_R!Ct~Us3y36XrT-Aj_(%m67G(N)AltrM&4bD_+mqF8Btd! zOmwu0Lzch3I}n?H&h&fwkyOg1Gy29CQ(vGi^7*fC$nEnN+8CTd?+`mGfuLA-gm^J$p;SYJ~&ioT{&6|Apy^o#Yi4)~0|_~A~eA@Tm8LZzI|L*i2{b#S9Z z74~hUQxGQPTuY5#W~mQ1iU)ULqeN%V1K#Ieub%sxqmjBPH?13bTWx%j_)klD*N2_KVCU{^**a-!) z7zKKeX%1!idBA<_gin9+Eo#OA!{FT@17tCSYe5Fc@-yH^Wmn3_wzTdBx%?ztlw*^K z6xYN;72YHcGp>m~;`~NSH`=XQtLnHxA)v~e#M6FI2qP+Q!U4RQj;gAqp+o_H&8)}< zm17&J-iErnp&n+c#Whzu*%0G8Q0;Z?=%$t$!o@~7Eu$@)*BwcL_L%0d>M@oSZoEDACp z%irQjzrazc6J$_pv-G*9oTblKiz#Vs*2xNSxn+0Ihz>z6DC*}@|1P);4ssb_xQvr5 zf`KgNa?|51Y2i>FLQGhYA81W_mSduYFtxumD-4@0K{m+Zp0h8=0a*bKjSi|Qc#|l= z;a$T4pClrt1O!>McEMQ=l%=;0ao&d(1~?4cuToVEYNWp7*dl$W*cRz@xaM_F1>C1q z8m|2!2ril$8R7>GaT`O7YbNe$h;dEC)_JxB@*r*>SxcF8&cXbdNuZ|wZeDx^YadxV zY(3Zsdqn4}1VcU3wgk=oIbtDZe>coHMQ|Tj?^x?vfHE-q^R|fD=jdZrg7X30<9UZM z`x!t)-xPQSi0R>6HjyOyfF!Vv(l2gw%vJlhh*P;|i#U}?gA1h#$RyA5oh`CZdLLXu zXX@E>o!3GMTzDyfl$SDlwpjYuCPY_|!Bh55V5gA`5WMx%$Yd+zC5yL^sa9mq0{lQkpXoU=h6TLMY&be)lrK-zTy{&+^ zwq?+CWHjdJxKsmaa4ty0@(T&v7!p#3)De(+RCMlF$Y4kvazSdj!!b&&H4<7anDmn) z;`u|!DA~Wr9PW2j* z!h-uYm*6t>no}w*Z^6~BUN>BD?W?K6`uu&)va0bm86XdBlL3O12S`U;(*Ws^OLU#{ zD>^V@(IMrf`$HhiCA%5AasAjHd5bMK6)+8yO@91T3+7+rma<&i-U?B}>gU z0(ij)0BO)#tu|7~$|Z$0`IQ2=u@sP!6x0jba(Zlvub}WlKs^@@O3%HZdZ~*B(+36< zQdY`M1LxaZaDK=y957-yNZCYuu+7r*-dEieGFV0za={t$0d7`&UHVAb*SU}ARq0|P zaQJ#gWJx_^3Y-}JbY{KR!^c^}*Yi2fz?pCfXSNhv$EGHDV-5EhTJq~*>eEA;I+v-D z2HG%zrjYUi{sml9_kAuGqKy0^0wb0bQdS&NyM}i=RlsP5=0cOSD}K8=WYD~2&>-ba z$wTJ3lhg+W(uG`*KFTj7aAQbF84}WE_j)fWqzq|KE=Y4*IhWxe(wZ4?WH^`}^M;IZ zq|}}8#tq+N)g`|XuDbGXOt>vg_PmE9E8KZOP!C^Aw&p+n0_#rkOq5H%y#MI&h6p4i`$-0 z-GLj!LQ1eAet5&u%Py&d3K@*+`&_stb#&r=o$X={8lrmIX^ND`TxSF4$#6K8yW|&6 zLv1fb00aD3NDa5=SZCv_Ta>|Q9^4+@mA1YepRMK_G#LgBQbx1Jpm{kLnzi{wlObrp zkI^8#bv}NjLdsxfE-<(A3+5vM1AeTikG5NS{td@t z3K{MD#MZ>o)PCQWV}P&2Nv0TJHoR?$0j|XAf}Ska#g5!~vuEJG9e)44{lY>Oa)x~8 zc+RpOr2_IsNV6R#j<_ShgJXdGLwNKF@Ziu7f53GD-LFLFoWb47?i5>Hrxl2{6aLY$ zAG1RuIU`MdeS-CI7!bQR0+_SH>#OpkLtA_3er>fA6;XIrLgX2pT`HB`X98&s&P;f};4^$Hj z0XEU~uEh5=A;3x+AtgJf|1XZNmMZe5JTCOSX@Y=QhCQM)#zwhw*4%Xrv{bb>W%*g@ zO$jlTdov`&)YRN;{HCl;JG_Yzju;cJIZV(KDXmR$&1+LXF-4cuI72*&iK| zhZS=Cl))g>XK$DwRAFr5r7cqxa-^}iX2AC$rN-jgPfg(`)du;rfNz;2r_vcRTr!!@ zkm1@-76>}2X@+*PsdIrL#x;m*09K{Dci(@sOT-OwEqx(L`f2{>Ialqle@ zH5hRE)=+i{9gn>rc7 z4u-I=A;dM;INT88IzUMACY50bpBF;?>Jey(LMzDN&q=K_l(_acl;TY4pds96YCLCZ z#C0ITq%Ip`WcrCIyrh0M#6K9~$X(J-Tn7S6%Ck$PgvLqRIe$LqVB_c!42aZHRHr#M=xpuKmRP{2Z3S z9|kImkrVPPpt|y42vP7q4nrtB3iRQwU=*k=m%k>4yV8Qg+u8`nA z%ufq-9T2elF6WN~XH(1dlN9?AIOzbmALz2=V|30F%H4|eUT{Y2W=43I?;;}b2g*C5 z{H3C$6rWaIm~NZd$U_u~J~Sv8O^Py%ni!Zjm1k_WP^O3owd z9!%A=``e4{wB$Gid-AD9@L@nmS&c}C#CyLc{ydS}d&E2P zt1z{ibH3_p!1Od=kTRHYxTclk=v-(f(*UH@3Dt4afFrpYa5BFQ0Helxumwl(dpCnFSKuZjaFuuTCU>MRBzhASwoV9RRaY^{*N*skWnMu9Lr_BMhP zEU+5;M3+d(pjj>S^JF$)JA1t2aALd0IT>XrWqVs2z$$jFc~GNc?G zL(0g;=0e8Nv9lq_P8wuLxubm&0_tiQsA^R{%P%T0V^l~P6;h6lA!Ss@a-pK=m@593 z%#%gl5=|l{M5+d^X=9*P43f5aD?1XDZvndxE4m;sM4)$gKFldl6nj-r}NAdf^b#%}EeCh~{ z7!6XE4N{IfA!Rhb=0d}9r#1#nOVm!D6;eji+o0)@3r*krq5&g9W3|+`oZbo%E%%$a z6Y?2N^ZkJ?!*95jA>XgE^1%6|xKkm#WlNvDUJo|(%=lH*8}RbW=L~w(YguYHz|l9a zbC6Qd>Q#U?#1wE+9~$EK!ieSjgWv9#gTdi5218B%=BOIp#E!Kyb`yC~66AV``$~+k2l5 zY&&b{bM{xyp&|5c)HKw;3NNb9f82XOtvn#h;bjLT!n6d}fiEDxX>PuLK-S7fPzObr zaLudMcX6MBF1Y4ZD~Ng3I*nv1n-?-c>R+|$okN{fsCr(uP6CtgW$Rs#`Cm=VBo?x4 zO+O&pzOQxkPPCkkgSe64i_!}!c;)q}lJg2Qq{cLoEo+WGJ+@ z?0!(zmdo-B2wZV4NxVM4-%)~gA%LAi9&b5!k8#$rP%BjdorPbb%_~>N@KO%i(GiMy`J=7InYsd`PTFcT_blrn+8Q zJj#>sk4k;wkXVuSrmjZ8y4Z?LHb5tY*VMMZcahSE#BeM=q}zX1s4CjXcH>19%~yw- z58h-qknSCTW8;vr9iC&bObB9O!-0;^h9f;}^s(VUW7%+YC&jYi_=r%j;rIyE7{kHu zIKTEXWNvmI;gwiAJ^2eN%w+!wkp0Jy`Co1BatSA&P9B6Fj+_M-BFu-7QU-ggshC$*yY&x1r9jy)hveWeyM{|6zHv^|8Yc4VwdS#TSq^5jnrmIu>_~1#69VAf%Sr z)s?6#e&%#%&T^HdAH`i$sZfG1{ji*;dY2k1RXN+B=0%DJ;LiFjU22Nc|dJ5^513Tk86^@+H_c7yY8K(&o##Zr|F+~Td22< zxWNEStxkwtN7tAS+E=0Ri)TW(j!E4e%YzJA6TR!z2BSqcpxGyZj9i!KwN95(^8|hx{Tuu22zHDMDliA)W z-c<@^_&B*YDc?+CZ&1-h-`T@5h0&p_);n^a-{C!bMBG87aNOnORjgvcptkz-h-|?7 zk^qLBA{PocZ0QFkY{-$aAwPRWj$O6RYP+eoraA?HwEylnT2A}#=)_g4ly2XFL__af zCL9$sNO^&U6Qt-KMO*ZUR^B9d_GB?wPV0(W}2=!Z8gzwp43;UQ(A4LE8oX%aa{;d;S4VaWKo z?Geb9rmr`kIGX#m;+kGthVpUJRSz98*IQI4HH$2u8{PG~>9Q)_t2x&@)4D2n`FjW# zkLLV2*IUTK9s;zop85d|E9tHdK?J_96n7DAFvIv;+&1F@@0&jwSw~$2ZZePW9~Fn} z3fUAs$g0G#phNa8u@KYr;ZYtXOBQ4O8kWfrBq7JxZ9@ z2R;mw6;GcNfP`N6m_RkN-Q7&T*zRsdr8Ip)H9UQ82(_4UM96O#J$yt6ei-^a0s1|L z-an6~e(uB<)?V~hC#!wnbLX4t)G?VoFF-zY3i+jDJbPL&>I31W&hHQz8}Sa>dhm0^ zh63k=s9VQm^29B_?r)+Lf5r|hS1$KfRDVGObpCi)8JRp$ge~PeBpO)C(~tq35^@Uc z7e;Z4{$Pv+VJZNwdarnKWx2mm?vn>EwQdl)he9|F{^-Qpf#TL{0qZz)Clq zi--?f%+|PVx?A#bv6v0By~A7`DL=vY#BrH0&r;*0S0*1f6Xx5Y4VDRW5LL#C8%)1g zaf6SCO_*no$%J|NWp5J_{hn{4TIhBwz4&bT8gD^;V6`_vjXy4$m~mV*F$Z8Lhpa;S-e=X*U$;a_v+dE&qXB2RCowv2Rc3f9q?`@_&F$%a6qJSGl0q02) zJdD8Vp$*;-hy~03Pl6~yeb>mo>qc)kr{e_jY3XGR!IvJ>Z^gwIoD^Er$bT~B`CBdW zF9AxCea9(e>@?nc!qPWN zyXMN7EFI{kd^!_1{PjPMGIm*4eXA$m=1=m(h20mIrQKHVY-_ZzptmQ6pAe@5Uxz2I zw1vGWy9h7 zAO~bI2Yi~GU=apn@zOi>gm^x=8b_9X{uq4Hx%I81{XT?lB z@Z`^WJh00q|5Ngy6>0<*4 zDLZL&@VoV65YkO>Cf{TCNpX#S$}co9WN1hk+Q)!4rHN~XLIy+oAQ!Z!?{}@Ys_5kB zFrq4)l7%MH9*4c}(=|sd%4&Ny%r<|715IMDWg03VujN^^guIqiT$9&Q?PN~lquxH2 zbHFLqVn1SSwgU_$ZIyhi0F(=5^2t3_kK@rhF8Ji0tMy$=tyx51UW%M?%F5aQpsSH( zWpOUO(PS-WG<;&+QUS)F-bPvfXvev|?AnBN_-1Mbnn(Uk`YG{mdXoua|K=EI{Q)OU ze8lKYJtZUHr-rT-&I{6>cey=$T+i+^UaihSM)Vc#|4_bh(LbZ2i9W#K9dfMw-|2pB zb?1~sc<$(7&mqFY2mafq#m^~tTKZx9>F|E|HrR=QCd46r4w$jBk+QPyoHEKr1}p9- zkq@6e_!(*@MP0`|ihH&?Euoc1QCkSuhRs}aRiD!mvFLePx?y=Bi;S&SrC)xLbpvyR zEF!v{w)DE@u0aYJ-2J+MBXyfc(Po2&V-^r2$1J9j=w!}-_}J;9%E{>}PnGlB{VM(9 zx#LyTLrxcZ5IbEpLQTFnUAr*?*y+L#L;psA{tZL#ce=XWaTd}o-}hFbnWyKkIB%`d zU1x$ibXw;7GuUTAp4WxbGT-Bx=lheVb;^g{kJMLaCC&FIQGsd2myiIvTHulTk++=s z1+t|nKCFyP@hHLu8SJ>D9!AT_)j9-r;%ZI#3$D?z)AF&G5@*CF^T%E)oG~AJsdPpH z6y?r{F|Kunjd5JjGyYx#c6!PZ=Yx9VW%vu=!q&Jc?wfvJ?2JE5G04@1vJ-r*&WN9N zlv*aEqZn%Bz{Ii8*2+BJn<`^n^`T#^t3GGK=J}(iWu8yC76?pK!FK>7Gu6a1BIOxC zMqU-JS;}M2P;}z|Gc6eAfda6 z5I`azp(Ze*Ac!bMQLw!gl_oAoO9G@oh$I0-K?Qyy2rSF*`)2NI5nbLN-@SM4%$YOi zoHyKceR&da9h&e1xN` z+_M=2z`q^Q&2XzDZp|YrOhjk8wa@Cr7|YK~%!ey{e1T6ILX$hdmvDDaO4 z5a4!94*a`sbF_UR#>eE|r&abXjh{CJG35<$Ro-yb5&MW31SoH~l2q+xECaIfOjum< zVeNv=8m^qMFv=ZO&KY~tkfn_3cPbkDkLX6(IC`I)ftKP7*OHz1+a@IDIVuKWin(+5 zV2*PZMysRR7dHbV_{@i0TCcjIF)unYu({D&GiUTXs{OQ^vp)CB8Hg&*a8)vEc2rMQ z;90rr#z%EW2I5jv^-DFEszFJGq~O9GFRHK%&lxT-2+Ui2Y2b=EiihRqoA?0rE=s{~ zP8*L(Oj2Nm(F%-TIW}^nvG=I1j609&nZF(CYHw}25#_L}_-99Tn~v$bF{GlZ%KD?a zCEr3PqgwLsk;2`Qf5z0>S8X_|>rc_Rz<15-43D+09pzL-u5lG*#G)KrzUD2H2$tb=seOm523 z4jj+Qfv-k5&rF>4g88UiH^8*darqL(WvjUw)a@dC0Z}N2KKSqE!^R;pC|FGT=Gdgd%kTtvvuOgY@PU_Y@Ha->f2@$ zyk}xOyAvyaUWOU^bDWv@aDa6L)alPrT4kgXYT!T};W#R>hc5l)L1wVAD$8etm7HB> zgf$)+b3e_A_&YeiIE>5I4f=~ASC+tZ$_9Cjlbk*R^oFsE4Zqa60Pt|E}CO* zi=(Z(+1jzU$+=H%KuB?etE$2AISzSxlsUyffMTa=j)xsJYB~V6+5L5){OtaIjAxFT zAXRm$LDec^EFaWxsLvRPaV2<%?FTH+;SqzkjjcJ_TsP-vfBCk$+Wr!e+%;$e%4pkU zeHqqFgv*pFB1ERgi5O!!*yccJQI2+>M_8?u`#cT;Zuhx?#I*ZdlA{gv$8qK(W(mV% zturVZPr(|TVlFpMqrBWF;2J2yDuS;vPMozt_WK!a)zY^dA+lO^@wmg3jW1&qRQ{N5 z%gW2ym(iI>T!wE3<xkhV zYc8%M{_eO-j_uRhZy%G(vMZ_9U}5NO%1P%GdfdlyBNm(Ca%~+EBww3u#u!MWEcZHw z;aoG~wcLk}do4E<_qOH!c1&CDpcl(PafAx4*rTO>v5;!TJ`O5#gcgYuaxTs>hZ}jv`ODdndS+E$67%rJpN=B^9+?&nv3#AAZCCs zgd`hPF&<}o6T{eX7MM_4+1*0)G#Z>xTH!`ehNx%6oX|>f;>xvTz3imj{gXCaU^X!Z zpU@jmWep9eR3!ir?x_lFG-ZgIJTnV^Lgmrjn}<>c*`zYE{N$vRG46y`#yC<}%E;uM zQbs0N^Hs*WHa;~b@e%QNW9tdsao&u@6n1UtC@;4W!E*4UqEqN*mPza7a}>qn@lkIY z8Azk_vf)Hoy&OX_w_ZLc39XlRPzvhh$F|}zvzXzr*0;7^+_lBd{YpDg!6>wq^NTIv zD@+n+ffKEqrI-^9%+*!Kfh()b6zB4yN6}1{1dD1J*(u#+Qej|Z z>?u&cr+S*^>Y9?Mvp{1qAzai{uFXI;N$-8*_8Df@bCFV_(p@Z7chB5xpzUVu^HC%jKRBF;>=*&MPt*&@L21UTwPiEb`y(?4?(G)Xe*cQtCV0I zMC@NengugnoV7exYvS$hVxdtAPWe}yGbry)Y-qi^FsjnS=Md4i=e3>B>T6J$2DT8A z;3_0sALxnBKCY^ZQ(y~yzmL%OA&lJ`aHfPlgWTAX0Ovev@`f$+8_ZADiiAA3&=c}J zLRam`FTKPlkI?_M#vFkaA494NyB%qh$H_OC8ir z7I{AJl%3~$MXtt!t9-{|dOUa+qXjh{#EqT)oG1M`JH2~6c*lX!UHadI`wZwA-mbH>>Z=zGt8|jiFYlTil zMB8Y3qA)zwAl)>lnW+qqwPxh&>DB8jpth}^D4?2Nz2RGEJ-wRAY*nRM!8@hF75S>t zxYvDMhuQHn>g|D|6DG4=?VlBoIE)YSwcK5{-0`gB{w^}>@T_=UelQr~K5UB{p>A;> zvc(;+0XLtAnRSd)w!Hl!aZoef!0sG0zF7>RiG7AwZN?) z5Su+hlhB_a38y>otfo7@!j&@?cvdqOYYV6bTm1g?+@Hzn85u}K9Wa0D zU|NCFK}-hncYD624`Wb+1tW368cWXBY-!}vd_fb(e&oYW0_&`G?G zv%oz&1sN%63yt`bx+RLmdSU)`0awlgXY6`4!Dxms4$2#!R8s>{Es)%|fw~GUR2onr z3Tutk*c)lph%fe}BjfdX3rS0@|3Wak8$o#F;4Bc&Y?8p8@{7~`&N_JZA)+(#0-!ibq!2LaDzrOrCsE{MCp$ zrG-%LlqciJQ+ft(%}6jPHAh$)no0SB8(Hr zAL)W{0=f3TK*HDJC-Iq$OcL0&-oXuc0ug2YxGM8sbIOr%X4N8QqUJkZBSB0STy+E+ z3y=xtj$hVceFq~9e5-nJ$7>4US=EC>r&K*~9%8<#9^B!bGKV|Jmi=LOJ0CL-{b4+u znHQvWF8?!6%){c&#yx~ug=0h&a<5$P%Wyg1Ic%^#d;!{{S}K}ejT2SqF^z;mRX;-g zgS@_~PNCK)NGpwo7U~L82PE7YO&~d~q6kD|1t|`w7?P2?E14N z2}EZliC~bfBw)y0Nw9`At(U0lt`OnKI$dN2q@5@yPcIft<-3c7H0B{bx;NOZ8aY&x z#rYMTj(Kv~6EIb-(lcHvl!c4M6vqaSn8IH2=Jr;hJ^B6d64BU!9mF6?EhE23y81l6 zR3tmF=7-|uilu#py3O5PDC3riPWbn~=hbQb3ja4!oUqb_`%%QG2wWzvte znWDY{Qf!ASHpFXNQJACqhlrM+XNon!Eg2kZH78xY#;jthS4Vct?JLB};4V7mW8Roy zc1-q{jnj6cJhBEVX>z6v{2AUU1Ahk7fx>f2SSmQCzZ)<8{e6r~{7_VuNw12v zjw!0>8Qa!8WK1|M8?O?Dj=5SIT$UR;f$V8BdI=KY3G^#p1I&L-48*5wicKkQC0=rU zJ2o3<5SN-Eh@T*^Cyxr^GA{%v$G4m^wjE!Y9Bjw;fIP5TR5xCRg6RFgnyM>fPV2hz zGT3t0m6yn(t}El9V6^M54QoV}Blsd;#9H4oe_IL9dE=hf>N>nuv=07F$GragnB_r0 z$8^kmz6fas$+Fx zOczI(3z{o>kwx;A4dT6frWv$FbjJU#REA6w?nwh73?1ckg>FQj-W9k}bafaY^k&Pj zL^o3*UZ!5(B(^)Ey4`~*l|f%`25zRh6}e7r5#Jg2OoWm==1me}^F;FU?r)gv?4}tB zv!xSBM%>msj`H?cmD@Qv=OVGT=rrCbi%u)@>xMoDqoPTte;|4&x0StJ%yB)v4X(z4 zlV92Yf4xX%Z5JP76J$Kb%PSj|wN^NbG*+YcWb@4+c!M_Z~(#4H;R5f-NY2Wij zk(~Fj7~(kX^R57UkI=j?GOUe(M`hZ-=_u>wMKyC2>Fz30cl%VNI4a4j9?GHL>eTTn zZ29@B20{k9L_aKAM67;%RDE3}#=cDhu>?XTp7lyp92VZGod4!Y+v!{OCZgo7uS9jn zP)z_~ZUSnzssDZ^Iy$CnDyneL+hi7a$RLEB5{J|j@aU$n`g1ttZ9a+L!@}FeQLsRi zh}`3O(--0~2iEA2dpx?6j{6cx&-)}TvGe`KlNcdtf1^b^MKuF|0Z=_61iDEy+=XFM z6@+tpBj*`adZW%6-IKzzO5Arh61T7uBha1r>TWT>=wm1DWhWkJC&shthK;e);hE_I zz9@o|l|fPRv%TVRW3HWgmYsUJof^*`u^a1b5(so>J#?Q)F+Q^se_|)zZzsmH$~xCh zhi7*>^*PqpK4EJ9PH-D)5}hCnTRFiMMcN5&gHgMk;8q&Ac7m@K=_YUSevuYz7AyA> zB>OF~-BqacMhz@>J#|2=b_7?`(Qt4ZqtVI8ZFy#pJ1)0Cs$4A36o?vf&_Qt_ph2-C zWA>@aa>yak4d(&tRL_Sw!&-q5dE%GX2F3E?Au-s%l`hFmED*2iVW<2zLTYAQZV_aF za7nSK>we9=gnlj8{vv`x1Ie3q7P3fIKO%~Qhii6+{=QVfNF7)#yB!HkvOizM4=h_ar!DUA=R}bB^HEI@xR9 zWbU$sA(_M%(TIv|9r?{Umh8lM!)b-D2VyGbiX4$c?lWk8;&W$x5@;C+)k zQK$MReDrN(b561ncQm~YfBDf`jCZi(0Q5X&kO zk21Ee=|zE3Y>C(Ow)>kNGkU++)%9EPsKfj#$l&(Zp4*R zjITzy6I7tn0x!y4$5 zHMjjR%PS>+Y(F3UBCz}B*it#c42yNO{uLkOj43wjiN6L1@s*lQwC%Aj=)rla`Q5PJ zgez(Ri|cE8yNYFKfU}OV9DK40!yyIAYBxn~wmPvzv(QaZ81H9xWD3!w|1!nG@BV znchP~_{Ib_RErU4G-)cU-xTrACYi7|%WgWD5+#5}GXk8o9DTg;WqyFOcCb4d4wgqR zIx#TRsaegxPA?E9>SrDXI*=PoF@WWo_hr8<2pIYC8s-@WDd-9R_SA%mG(c zDq$KEO(pyalGZgcQ2#MNC**7m-Q)?zlc$YOp2Rc!EHaQZ z>ais2i3em(MQ5|lWFkp1kfbtCQW+?C(j3rLhR#s);nZz7$8J+Zn(xnm9ahoh5R+AFYw{3*&gkr9SO zJDHhlZM5^0m+lIuJH_H56<(GdA9PmnP<#GC_dAtm;?c-N8D81hrIOOq)-_PaL4v!G zsg)Jy5}bFIvu;#qEDztT5GoU5oDolSUWz@B!hey?{Xk^D96&;WNT6!svZ~6hh3`fOx_;ge=0ee*;qM66@{jNJ4+r~OyNMsC~{hHq(UTwnULx5=nRRum`jmRdrsbu3n1Q3EUFbO?& z;!@2fa$J%bJe09*iVcn+O%p=REI@6-!fe1&!q6PRNJ8slfOdq4;{ZW8NXR0n%11W= ze*kdvupTRAz(X*Nd{kU|vdoz;lI8nx&frw#Q?yR*GD%=ApnnnIX+rC70qqGF36}}4 z6a$tJ>X!nV5Q+$;gonQeBoYSx1Q`ulj3?YA+$H=>->q7ZwjFWDro*aDkIe?f znoM95Vo3rU5bHg{dV=!%yLhMk{%^cfe!mgDz4H4bct^jVYOUdI=gxp0gv*3$gzjAc zy$Np;-XR2c1%wi^3Au#2-2e>~tcm~gq?)12t(5WBMILSjuILyVxCPG0sck!l2COqpax+U;blVOC4iQM zGlcVme=Y^gB-C97Xhg^(6cV~G2lOV)&jc(cv|a&dN0=!AF9A}mNw4DepM+=E0EQ91 zd;_qTP<0)k1|jfGfJwMXxJ%fw9`FI-tG56L6l}oV5yG8!06YQPD%k?yxt=((4Zy?Q ztk6#Zk*UO)y8+xZ&APD{z^#n1GYx?I*jRaA1Gs|+_Fw?y5MJC5;BEm{g98Bm>)V=j z5Wv5~T3;Ok@Q;Sp{$STYO1zcE;ga%g|cb8vh87=WvBts_{2fF__V|_$k9$Q3T+8o|RoJdpzX)T6W)qDdufB+deAu9Q)iuJpElpanyH4 z8wWAZ)4&-mXCye|YO`a^j{0)MMprwwM0L~;7K7w&!g)dl{&JPz+$L-8brauKmiT#_ z_!&i97+cTDj&+>k59psE)jYy2ANmgbk7zfBGm8B~WplV?=Wy-5a=1pimk8k~lDh;r zfx?@^cV%-3$5sLqkcnxZ2G0Lg29tEl5!RP_a)_1J>pGt|0?(_JoKcSRWpuEV2}x(m<`{41ShZ}9NoRGA-O+>Bg<9F+ell#2 z47)R%c7#E`8D`dZZa3Q48MZ8&;UGK1r~EQZ{huXdhEFk@K7c9dp(9dKCXY**oIGe^ z@(4Y?Igb|{w|Pft)&&)$hiTRi`azA;tV{Yq4b-fk&IU0lhiXqWbiPr+)H6L+9w4pMXfOm`Q1wPh_TtjUO^`Qu3hZk|#|XG7=*$a-u6ntX$N{ zxyYEJC1OlGFPF7*)|R^(JI!`mVPxrnV@Hom&g}I-dWA_TQzi~e&a{ReEazM8YT(fx z*zye~*G)*nkNQ%Z`l9=w&fNoiDs=-q+SKiR1$?RRY~$=^ylYe6q^LKNgPJ=rID&8R z@a{wJ_tt6Cd$YN7i?QD(waK{nC}N52_Q2Y_ zQuJjo>`xgC)pQkucWef4`7^k(wNtdYAO7fAEjmDpKFXpS@$hW5c1ol2cX}PSz+Pha zG=wVtMfg+BW6DaTD`wX-1_wJKl|+@npGhU|Pia^6kxG)ybT1#K+xl8>{QWasR*S}H zoA?OL@MC|h#+HA|Fufpssz=_+c<0*GXKU(>{+N1OAL{n38Y-ExinTV8)js8i+0t2- WZN$9xZ+~m2)3sWjmydRECjCDc$r>5} delta 165207 zcmd44d3;UB|3B``CHLH$ghUcVgrKc8Bt;i%Vyicb=%$M$h;nO*tt(3RMT=fc-_@2_ ztECm%hFW9ag<5JCs;#26l$Kh4&)4g9?mg$Wygzw-|N7;R%sn&n+GlyqYv#-?&GlOG*Gjw=_O-iZq~6#nB25*+K`g3xVje+!3@q?2UDC2zjdd3LOm|V`NM>&OK zl8r8UOnG-Dz2I@9R3z{f>sz6(t8b$3v8g&|l6$cJ>UimDMl0PT+TFL@3=|LVTdVI5 zE=Sdh?To$&zUFzyqTSEA%v^#_@O`Co%ergpv}0z8$aKn*TJylsYd-y28FynNUFVl^ zS1UiV&!GOjvxamZm^mOTsrt}iLz1fZ&gzpny#FwrQr=xYtVWHbX zyH4y|W~?(WK^MfkJ?_3?;JNHHf6kJ6Dt4ORxL!*sBps7W$4@I(%okpwSh2T!n_c+n zpqaDYsH5uIM{;-J)$*^Zd_`ou94M^3EXw}h2rOw^U*-7$LVdUsXQ z{OEh;*-966br{~WudhY`?Ee4sNg6mPDLZpm-=uy+ld^{ldbVHhtlq4l>Xb8lXjbn! z6Z?vQ|EqSQT|3B?uNQ=b0y3xR)TL%hz+fh_=1raaikTeQ+-C2wss79o*{4Xm;kn+DUpu zq&uZ1Y6oPG45?{ro-O>rG@bsH(ZcoqG-sCy5Y(0TxMIW0JCLUwD;?*bak$P=1%kHCf=`RP18BiMsipV)G)lK-d@t(Q{_w1a;S1ZSRG@Uj_y+YezklW zbv$(#01aK8@TjAIcXMfWSaKxT3G}#WsA2UuR)Wr)qROlH0e&jpcuS9|?0zu5c#hoz zrxB?1t#@I9IwkHh7U+o5?(#498q~jkROMQD|L_4>wUeIfn>8dWX&7otPSWs!{f1H9egm@m_v?k< zeTEDgz!hMPzDd1dlz~G*ua39FpkYZ#y@n4Nk~MHx{}&h_3x&fRZS?;iT-LfBmv-MM z4Q-<%MCC}|c*j0Cpq$6r}fY`%IHKoPR7x$9tInG}44u%f& zlDtz1?l?oG=WyFpO>%VQw^bV%%~$!{#r45E-Ql_*(fy(7l0)szcvugv=dR>mu&|Ws zl%wlmGv=E#fyko->N2y#rDyO894 zUc z)ll1EqP4CEjSq$L_zOl^&m_%%=6y1Z57pxu#+KD9-7ys=-y3sh zVuY35YRHg5LjogsAXASiSt3?9Z|1J3*&yX+SX$Sajlz;kCxXJQOdmT#XOt>Y!4*5B znC|b68LVPwu*Rcj=*$hpYwE#iaC8d#nBk=0jQ3qNjAhg+YU|NQ!_3Hr)E)!eXIYfxlyNt%(9oT4yhn8^ z>a=ww5{(%=d#KlE*j?C|CFRGmjS4Df2D@*ID61hok?)qz707opa!8gsuGc}TN6DD} z#sLTHUV;5ZVE4|@W0o5YjLSCgUK_Y}R7`(WY9>!<;WK&gNSrByNBB$zRJCTx=z(Gy zJ-~8Kn)?yeQh?F~sIvu>W&!oEfKW_6=IcbUn$GU5+>uaEK+UfK7Y#cdVq=ok5D0lH zUJaNbqt2T%?NR470+CT?&#oddw;YKDrcc}h_?R9i_ccl;7 zL@JBRjN5PtaNF;GTI9QD7KvOj!t%SBfnd)LWcs5MV$}0OZTLT_y?A?S>~W8`31N5z zJq)j9?*WkX+YWszlJ8umOFQUA*KO}k%Ujmb9d78PJKf$AT^>Mg9&#Tr!X~2G030ec z>Jbw)EtQt;5{^o}1`X^5mt{yMxllSKCAOwM_K178?ouf_R-bvuT~95yw76szHdcYNiUR`b zulGajK!2^G>vlKaG1f3K(aK8E%1TQsKiGWi2@&AHZ3F;dP%GLy7}{UZ!4s~4HlP$` z%;B-;MhHIFoLg%d__&|N3lQOfGLVoPgTniInQzb|4@Cjd*o{%&&J@pM7Ell#@#x7jOB8uI-i9u96CkT0i@;3qaRs8#oJ5!jMcvxe3Q4g86~3rbM%YVf6k%) zyaq$v5z6rB=ywAyUx~RARLDcTZo6S5QBgxxVXk<2<>u;)$BM`5Re3RK#(h#&e=a+C zt?7y5bI2ec?_tj1_#AS`;R-7LdX7LZ z5z2Ff@&?7V@x6>VJwc;2b?REGqVWYc zjjEjEA6+3)MSsCcN|l`Kr23R&2@LCI7;UBG+|L2vEd>o1Dw30q=n8+~l>)(p;i zPTv}nX}lbOPgE}n_4jN9F9AW@Z80gv6wcEN&PFx>j{&i7Yy*O?Z3GLx(D{RnI-D{2 z_sEJ0;5pp@ULbXd{RKAoz_^H!#wi>8q|pCUa!7jQpmnJd^JE=@M@#f(`RWx_aUL&T z%FpA)OYM2GcquyL+C*RnE+lsqz%nPV|8st#|a(zL@uwd%nzQuKDbS zA)%#Bh576o#Lt(dO~v^b?i>-7@8`*girVA`AR#xvHD3>$f@lUF$qgt5jPP)-&%=tO ziXQZ_dx(0(B9c_weDB)SAh6h%2pd47?h2#Zes2qELQ7Aw6Ps$^1Pnq4&4{V~)5BSNM>#Y_8 zpnv$}9dxtbV>&q9amis%94tePMgt;V(`u*X2lUPA_jF$@mP1y|tj94`A|BQm$tq6Y ztP*jDT4^bBsVH-)C{veOkL{kXmfWfH*SnKwy=>Wd?`=c^oUP0=A{S8pKPdCMDD&z+ zm3i~_lzEX8r*n3=>nkuaxRDWWd`XQhcIm&B*-;l(F*`byDLJf6uuRHa>{Mpn>8fT8 z!)UH6ZvplvMM8b>-LDW=s}s?c zo{8>TA#~HOW1>GKbbk=KKiJ})7qY*FkiB>tvH&NtNJ!itzS1u*b|d5@RQCj^Vspn_ zX4KFVzDJCem(zDH;I4h=0$ENsrK0+((E_K6(-z!X#efA(<4!$hA5;qzO;XLTDb4w? zc&Y)!wuYB4bAJs-%BDL+=nh$+bDJ0MWV|bM-wL7o-fidtmgo)-aokWGOidcAuTJyJ{Z0I{v#s10tv>T1z^ zTxdRS(HtT)2Zhiab{m?2C7MWxCQzhra(_&ZMDx)Qn%y?LSF6u0nzM!G>|C~|S}8P_ zh0x5u4NbrjO(aAUC{}F+W;_zj83CGkh1=YThWgVYcu@#m%$0^4q0>*p?d6Rf&qAkm zOD?>%c7cGXA|a|5bMrnez-oe?iR`%mS#2CwjrG_WF>e|zg$8dVq%CB-rY#imk2}ae z8bbcb+mHtWB9DZ~1JC=r-JjAUQEvk5wsGh0ad$N)IEcR|#NV@s&vp=>5kma4+Yko= zB8~*aUGFU{rVBocX-CgQ{ha`H*;l%%^S_|&js#b@IyFz$)<3~%rG2F{LYmjsr$CI| z#k|b@?k^4Fx|H$S{OUqko1a2TYjeQU+FaMV5D4m&TNH3MGc!v(VWjAt7hzA{M@pSf zVVOEQ+Zz_G0={JJMY1}tv4}An<@AI<1Di6y&YMY(2@>Y+;UInl4yx(?U&Tx|21z*^ zwErTj(MX79Fsk3mh3&gYc82;cDy9!Fh zI8cyEek8|fa)~Sl3UU|Oahklng>F+Bn}uCEu%p&53I=NK*D1%{p1iMqbiZim_y2+t zc<1NvA_*Go2gkvn!4*Ow>t}Uo5ibwjy7CQ)93X>M-*J?YVO%0f>ZkxXM-A$5U0HtD z)R{NYVHyX(jhZ_38Uh68D!D6T9Z5J;&97+<`#K}JJE0ACb9SKn_W5~1F*K>OODfl!3XLFE_S z0no23nx6>G<#>G7n*qE5i%}Rt?G-+EeWPa^)%t?_fk`R?FaEcb-m|hUP zm4L$!CWHju$^y^gtjW_n4Ge}h_EYb*HcHpi&?gbfA22A;M(LvBW*v+n96!ikB=Li> zd3OBZ2Lh4!!J0)JKX|8vxy1YkRS-Y;kf_!6cbZ%x7`K%{$P|!Cd3xuSu$a6`Kg6^$ z%(((Ihk@iY-)zdN*vDgLwgmNXIPI-hLDBT21gR#QNMn87NfJiF8aVw)z%DPFc{z9ckXS}bvji9&Ni z2+hg2q4|=~d`V~mg&n5=T5<)R4KjX(3Qk#aO9d;ylFx&L zj0zOrl{a6ZN1|C8h=U4_Z}z`pBh@4}(#K+{r?Av>iP-$5C2aHOLs%Ml8Wifc_B`sX|eaD$a$xW-+$DNBtfMU5vdHQrdF^Lv{AuxzpKZf#ir1=VPj(Yfj9;=l(rri8?jtdp%F zd7<&8Y65)6cg_Y?|&39Hn1ldG*VF=+g1VmKWQt9k!DGQ5) zLd*$EITl(@=X5anT!}TFCN8~oqW~CncO=x^)lv?K7)s}4U<|(*pvnOe^^ireqfqR) zREC$nOj1wlU~*utBu2Vgs!sH62m+W0A|ZmnLD3MSBNN1N7_e=f7PMv#3W=y`7UhqZ z>ilF?-dHNj=Wj&Vh5r;b?>4kQ7TQRNHjq(7#Q0cf|2Kp-hegy`i|#3r_|#Gvz0@*R z^38wJExzp5N(MN|jD+X{3q?h+2}4RYehQ(>vn7W{8ZHz2-m^>&4k6)#LqfZ~F6Ro!ozn2PFhAnk`^qp zA{9VKrvm~s?LdX9yj(P#xST~zTrPC)SdHQ|21V&H7}zn1fZym@Au)-t6%v!U6hzA5i24L=`K_rd z0)8tUL@*l!&bIFDXg*SeBdr)vfUCax&kAd%lBh)oV7-+?+iHazEJ0d7!|bnGtsrHp z=EA2+MQSOI53^1pPuDuky2iP9;HU*e=cq+Va_%^4@jj8|sKxs$?5Krq^pJTSXIH?e zyk(?jtkC(TOIXL!uiqIv7Uu-0l-EYzt&n)dw@7K-v)3-#wSrfll0nNJWYGFkzx<*Z zrBi%nNnRT6TEPn^AmAO-8Kh!a_Iv}j9y2F`0bcQZxbqORi0A#GxUAmc%(jytM z1JGjXZnu(0SUMS|W>^%b3PrqtMHJ5+j%c733&n3%a=UpM3DzXv-G=Vem9}H03Iq~3 z;aJJ3!a~V95`yf+?UAw9dBw&9nShRD0wq2YhDVa=oM@^mRqn}GRt0-Ce%s_npJ(n(sjgjPrNSmg4vSf zsdUpbUEjFwNifFh-=<-7oeaPiv3U8E2-L@;|NNIVm7irvA2Al`{QsJj{MqkT ziSQG88KxHM^ciLuH8x+rJi@GtWBRDnGPFYUN9GW!ko$P?1fb;M>^;!CYG%ZbwS=Iz zDi;dV^j78gd=B7rm}2%;CxLTtSOr}$#cZR_0qz4c-MGNa=#*dJ75tX32e)?Jude0e z4J4y}WFheQwz%*Q*mdTP(v5Y;(dI{l2py@i#Ar&cW_u8^Kid4!riH ze}2V$h-}dKRdcawyjuT0&3wkdS-3CE21W-Wi`OLjMV3*mSF;UTtfrcu=#)XRUNJ;3 zs+8zo@W~yKEr?s;rswKO8QwTTcq19_s0`*x{HAPZEq}(;G@UjQD+*L)le7RKoXKgj zT1?UyI0J_vdlG(`VbWIHCYiL_VUlTpBa=)QiYZgW>Zngwi%I6K7L!aMrLakWT}<-U zQFDY|b+7rDTW^q3B7#5_-}5%Z)2kC+G8#XNO3M2u5FWLsvS zO|1DE=`m9$n*Ge@C_lkBobY2evw2u-DTmcZe)GzimaqQUc=o;&4#cvjD0E0q-=4OMIQAd z*NinzsQ;{neR)^|wSbvWCD4#ovzZ9*NB=eNGImm>mJ!YhVkA@`BjKH<{8eUo^$F3Wu9eq0r`k+i5DQJC9O*@?*Vqn#GYwt`O5cJe%oEK5%OVS%7Ws0m^qXatMRG_bY!P6Wep7vp z`Cm0_t-~VQZDP~c(uh`D*Xk4blxH91C;0YQ7U}4$#(ky}Yg^;^6q{n0c zjo61+8$C2OQMX@UzK>0O2#7uB>v;2VlufELB*Pw%?ss45cs(H3EUh2RH5+^0q#6mn z*Vjqcxk+Xb-a4-%Lq!y$3Sy`#I=#?rROVwM%;VZ8^owou$vW;e0UO;E8-2Ube2}M} zM?7sNHz?gfPg!JEQuEeH$NAQ>&I*Thz7^{%!h9Hj365s!d&@YBY?gMhaR_ClZxKc< zv~1(7VcUkP@vO5*j58k$Q16)se1YDxi*Snq7Km}!Pb;zBG3!LFmszK@j{e1Lr%JAu zj#FX17{*v1Fboh&#~F8T=?@fe1c$PSI;dpPQ99$88B2zF+Ps&t6MPNygcF#E*}4A8 z=18q)lPqw`PbP_LPbAqS57I9-$%A@Ap&1u&(7r~&+|*K^*p~!ms#ailAE37NE8HG$1Ce;@^?Ljsy()pz7q#zsFprA zQ{5R_E!bCxDBGhKsNgDuu6poKX6JZd2%6&+!Y}6Nu|7DMsc)R-SY?@GwU}dtWsa?u zIdVxOJdP1-m|3YS?14_o!~p^utax9O}0d256Y3w@yhz(C>D1O z*dapQE?SulJj=vv5Em^3yca^Qs41Rw%!VMFcW+=94QPw$V_(Ho!J8OVO?>H)dbXJ& zHi(&GKo4e$)T6J$OoSrPYwjijVy37K_K=pf!7-#|>(ujRRh$xJdgMu?k>#Anh&Ez_ zbev3J5lfNOJfeNrDt4R#8rxj&+oXDG<03lFpw_X^n3}S&B~922n%FSgYD4Iv&tDG0IM97p3=$(`mD=`PDQNOxIpnPofCwLItbVwN=< zsQy*`pUa4eW&etp7%ghn*nAvkQz)PsxXY|=oOc)^q?T<6ROSA%MhvlB46zI-1BN(G z=*1AL9EOP7XdA+nw6T~T-!ir`PW7i=f$4csQ*omVVzoDlEuuFDYytFSiv5Ve8JU=XUu=xPxC-_8#S5M!)l zW2EUa&&I~;Hb0on$ShAi8@pKb-zXM&cB6EZQI>GzB|p27JIc_FRP__BUpKoOelBO5 z3?-hWZG5ni2eJN8QTG>OYv6T!RuLWXiVUe{8wG^fC__PnUULV1npA)yXq69$fLJAa zBX^I?!)8CV&a%ochcQhSY}EH2FOv=OcEn84 zBafQX2%T-8-)xerE&F60GrO99QhtK(l2Bp$402Xw`(#s2Kq0n$A~pr=6G^|=K9QS3 z>@x@=(YW?|q4^&&&4RhHi&TY8Vw$@)iD~NSoh3bJcQB1{m(Gdt+@+_zZLb1m}CY{+GUpT zRFACW#K1O73Rd+s-(=ft8M38MEvH{>v*n>Ss{{$jW^bIfy*0fmHLkT@b-^^nXWJ?! z)Wb@9qV%{Iv1&ZxFydZ^5x?KWuA2iv(1F8ygk&f-=l3?d7ucM|eOsZg^EKn{!uvIa zaZnX|4$gWGdx9Uf=l5dIZI(TOB52PGL_zFXAogT8`_9ddp)h5$H5A@WB-^Pvn`IPi zyjhG{d2_&+#2n8^jV_oUC?K)BS_f3J2vxz6P_pLxb>m(zAEW#P-y=FB-eVn}+F|ol zWiy+tz@Z0++4>V<9tsE0FE-nN%^_WFhh?^aK7s(h?R{fW_UCaaj@osq8+o6^~5Z06B#1ZkyyTyrhD1u>5`akH01;oXZN^ffEClF(JwY#+7>ol zMQaHwxNxIIR^Li=gr=a zTR&f`L@8wYBZjrnqu+_GlQ-4yJZG2#1+c#W(qX`kF3)gO%#*33~C8q-g4XYHr*IOidkCdbL z7Dc}=wvm~?@8$b!Km!DL!6c(h=eP6_LyUKE&T1?DXa29E?Y z*@D5N1;bmWAv~iCJ+8-B_e8mT*PtxgaM%K!pbxFzqK%2JJN=y|MM(=e9qTC>f6cN2 zZ9kkQ{Ya16xP^PvSAV*itBqS}Fl?^A-|Ek(UPWI+o+$w$P=vMAa5o@;w`Vy#D zy5dUEYs+{>5(>LNoktyu%(|^I6uw>7Gs|<8@)LZ2K}veh_33f|Tn9zG=EG_tw$E^|Z5cAgs&3BB~!y4wQ{`$3hso!fJ{?V;_t=0x9Qm<`Py|1|yT2Ka#E zR+n%|+b$1W6i=HP`-!K&NZolBL)^Bw1Sa(Q`pjwH(y4&Rf3bM7D zxLuEl!|1b}Tif{Ua*}uMc0L<0dpozZnqL6W+0y#ZGfy>EzYDaq@jAVuCti);&bA%D z-Lfs7sj0mOQE{&uu5V3$$Wzsyy~3?t*v@aus2{h>8HU187N4FK`@Xt{GCIR>WjnXG z6_5+}r`5VqRHiNgo-S0o1a=B$$3CMj2|E`ob_#>+7%%Woowm{ChW>cxx;$|dv>sik z1_pTNdId4SeoNCG_{Ec7(;YndQ9DU>7q1(+F=VVJ=+4{p=xd(DGM%ZvFm$^hbUO=Pq4T?Vl4Vc(u^oD2ea{s0F)9Lk`u)tX=DJgr$?C`QAK9Q$x>xvXcd|n zL7jX*nHi_=;F%FOCUgmz8Rr8$Ff&fyAu}UVo*6B2G&2Gh`d9PG%{-alPP*57%{*_Z z1E@^dr1m0 z;N=}WT~0X=TT7KFkkEEWv96q2yo|1MF!lwNP{4h;YynS|HQ-j$dn9+FY3*-%r{uT_1Ef}8mLg=&SIBvA3mdocZkZEr(B*wJ2bB8{k z9oB$E^yq0>p0LV&!(@1H7udtYWw9b{hJU}qp87s5kg0EO0Z)Bju;|w2)SLpD`o1ZU zsqZ78lfDfOc;T+LO^j+Q|Gv$Z}JwBtP zF6@t)l&2`~P9D3E&`gPQ%~ZlORMJkFDev3~nH+aQIAsi(DS?CLCL}aBd3P4mAO8~j z2tCvI4mBn|;RN2Wh#CXcVM;GCv%T7M=h>d%jk%2pT=(-OHrplp3Wd|6E9V9ey z1Mz^)o@eQixOs%R!L6dkFi%yzs;zP>Y;W?#ndexqHPqPxp6?VCn(;KQa(u>9LN|Qa z^Aa+opZ$0?wx5APr@yDA+Om@tv)6ERmiXpH&hecxksSdaSmbO0-&RjL3}xf^0h(%U zJ@qk9JwS_h28}zLskxiTy(gnCP5|o4nqLCSgFIs*!H^AvlueCc{JU{ z&7J_OYW zH0a{enn>xSSG8SoR_p@@v*SXUoq9R;DQr5Ey#DMyrkZA<7-ys4!(#ak6e~heH2o{K zAx zfPd9fCDaa!=@mB9eE2JF7f+!ZL)r~Zg5Z*;(Eg-oo&+m>k6%26R{CD1P->%ps}}mr zo}TBa!5Y0hui)aT+&9ry>whmhni&7n^^U(|O`Uc+iXN?zkTNB#!E( zzvC&d>VALww%HYs0UxV1VUf0(3M^=wTW`d6G@qgD1YbXW{uPhBe-`O-@xUl7m;%xV ztkK0`qo`he&r1ZA=xhBwx6MiOa$z!@awf(Owt)CnWW=xIhFmI z1v@4P8{N~@Mg13G9nAVVZLm8wpDZ$mFtbIr(J!{hw%wtcS}=I+Yot zx#Jv*j_asm_egK4&4oI@`v4m@3gc+h*Q>BBF1>KWNm-l=?v2Xu#n#Y-o|pwca^)qjsztDi*;myrdi zA&^hMCx(TCf414t5KWTJMnN#L*(k!#Hk(Pm*k&{Lgxc)xQJB>OQ*z(3agX4Q2Z(DO zTwelAm2q$#CTpU{kMe|19_?u!xrBt1RuRVp8sYM!I)1mAD0EVkIqF`oC-={@kvn&^~!V(!FU+4-{qp^RdC*6*jV=uc&LrERN!|Qtkrm3wgR?y%gE=;gVni3VrZ9hS@Yvb}1J z_1tUhvFg%2mb(Z%(YJjs*(*+eGZvHM$-R2#SWlvPQc(Xa)p^fsyD&j7OrL<($-&vh z+OJlMkT8c-xC0#K+$D==kS23vQ)y5Y!A}d6+83}z6#ZgbMC}XOf>+Mphb-I3lK1VD zmGgb%KC>kggV2c%`N{CK zlj8sElgVPm2cCgc$T4Kk6H?e^pBxu@j2>l$j4HfB_Vkr1eL}0y3K^vA74oosv_e)R zarI}eXG4OEosp?0bZp1&wjpu*lxvu7+GM&Zynq-r+ zc*Z=PnrrPaMtnxRvF^uy;IDk9seeG!lX}%RvFU0Pc*DWGNV|q_<33&)zx#=&k=nOU zR>mR45=2h^)N@dsMO}P6ENG6isau6?Nqm9{Es&po!Ccaj!Am#zj;J%|n6) zmk>}6p+OFz8ET_>=$~jZa9lo!;Vr@Nk&OX4gaKEn24s2bpBQ3vhhgDOaZEmlX88~N z#S|OMa>k-3uEnfJ`dI#N9NCG`$z>bIg&*|!fjBI(Uv!Gc^i%Hoc%-kc;HR5B@hh&1FS*guLACuPfqFn76&@+(aB`nNqEdg=Lx7&z&juW55yRv8@-e!? zpvWXO!h%Ddz-e4L5~I7#gYP{_peG3Q3=0~ML@?I^#G?g>`(I*o;=br~wOIhy3*ZkH zARY+5_{t2lQfw>es21KtDtm9CXO^0^kH=izKIm{jVknOvpcsnrB-50g zxW^7i2qo))gi!u-00R^+AAyKMD1Kj!DGCT^!6a`jJclaQz~1fvj}-m~YhE%(Q+9%H z6d~s|hX18nQ_Oahi=M0pFO933w>;1Dg<(#XniHvJvOc#k&K)^caJqqD`~jW2#4|>H ze!%ak+uraBW(3*b((R~;zoj@?~ zGS36*hXejbsqM`l1n|JW0g1J}0YLv>sSm2(5BMLryP5gBfZ*0S$Q{BUeZ%Q&5TtMn z;(#kWaRFJ0{pnO%MW^M)xfSGwj;rXeR(L}6@!o+&Q|h%fJQWVIe#;-!gO_;f1+atz zOPPbDv9fyn3?qC|rv~>Lo@A+8>!1w(mcnR9p!z|ZBH)4)OImdZ-+KqJ#qf1p?UDiG z^-ZLU{dMZQ#e1uagR&0kKqL||_)27J^cqjL>W?ytcJ~Dld^@Hu$kQF5V-9jee$+vU zSiA~Irx)dHay+jDA{IbH5ep;~u|U$a=^g%(jiUUA+l2c^HZ6_cF+^nWCL9TvLquxp z1;;#Ys!CC&ERwZ`>Uof2UjEvRv(-k6!L`ERT47KRIO&nQB>g{o_?7j^(9CLAotj1E z6o_)G;Z8^46xf?K?X8f>oT)=LXDA}h@5!=IK7y^M8XV#n z+~k8CgKK!GhzbNUDA1^+E1&gLQ+P^gWh-z{D^VawF`Hc-Y@#Z$Spm%03ar>7TaB{V zd{NkZ(PGmtY>p3Mb5c>+1TtdtMPU<9DXn@dpk}rfJJ>=IvGrUCTe@|&+HbM7N7&k9 zvGtp$W>wMC$?>bq^%eJ%AJZ^`?~h8tC8)Rfw--P`Azb_JhOJIE$}$ zg|BxHbDUAH{S(`6=W<-8;pD9L?4ok^?qTawEXzbdpwI8vQf&ik8J_wfNNepVI#L!F zxJX>ET5!-)lTsG1?f5&#KFfP^F%b3`xsO_gHJh$4zos2k`itk9_-a)uU|Jq@zx|-g&f$b_L7nr?D1j6riQk zs~YL5ogi)FM5?D5Dk|Z&^BFKjzwWA|dIm7Dx}h0THwxRH^?YO$+S)wg)TYk*4e`ox zN2TSydz4!)l8hyF^(T)pS&!f(p~{Tm8+wVMBlXWsTS zpxgvsy<@x{_E+dXTczMP#ZKGc3NpITq7_w1^hF(`;6XM2`vbmGkK=m*^!bxVkLjJW zjheE@-j-+p*wcUHx>7 z_p(nMqxvV5t58 zNFvIbA4R{|Zlem>Zk`%suSDO`V{)wbakuwjGQi+?@4f!AUk*?jQjy-L7TS8(g{*gf zq3%!(an+I)y{-J8e-*9IeeAhceQjC6Ps~c>YEdD@M*P_eQq^k90wJXm8d>i3KBay@ zRfI-%7xK#br$SlA z%iZI(4sCZr4a+un92XNVjq<+Wd7ScbWaGHR%LYVy$0}6dFJksTE(1hAs*~tjR4CEl z&85BF)EJb}qGsfA9&(Y;Ogs5F&nf=nvZncv*mCUBJJ}2w2>?#xED{=LM*@6&i5UNa z?^;k6jkPZxmmPwBA`94))19i&c@~7iG$$bIA=%CT*qVjbd z@N_s0X?|Jnqez*XqZT(fhC~V`Ztxis`b|3scR&{y@MGf9e4t9S+~LN(I=>07gypDn zy%Q33Ml)@%XXbeO;BEnwTKDL-Jt3jz)+e|z)jJVvwXIGB8dDvA^6J{E-U*%>>YQ*) z4Qr`C@fovW01O13TM-iJm?$q7xKSwk{6i!>tkbFnfGZtju5Jl7Vk@rJi)R26tbC&h-h0hHG%+7tj9_9JU}l3J2F5o z`cWoUG-;k#$A^rk1dZ;+6YCe$y<}PrLa(x*0~0H*+KAPgYkE0^&-ZQY_)#X-{Xfb8 zU-+Xv!0-Q24vGC3yl^93UH(yK*S(}Lk>b*iJi7uDU9_Q!pOo1(q=r4aq8i5w_X0WM zg#}PjU_kcl08;KfI{j|%hwA$ud0gg~X=|Kx%(3-P${c$SlakRHpFqpW@FwZ;tzG3+ z+DVyb?>HG~%s?$K*4Wo<0Hr1(iKRQ=b&}`V z@0~iZ=hAMnsUSLi{(EnXfAaArMlG(u zy9?EDkst-u34%8lknzb@Z>sTtWKqny+D|l}yVjh>!dqa>vgcF2}2HU7>S+aiz-7;*O;JEbd6`&w<7cMC^_voq16Kf!)fR zql(pr%ls_aJeIjUVv7tjhe%NA0^&mUZ9VlT<6wH~S=qS^a~4 ze;z{}7pKuzJ%|6ylg)4tqz`4kPet|ByFbf3GoH9}cqLA5L*^NvA+H1p%>cl*wXL^5 zJ(5Q<1T?Vv8}u_D9bD4Rn?-GzIAj*q2n%a|mig|Gu(1DUo{?rC!KuL`MP&q7qTj^# zQ~wYwc%1MG7Td*tVQ!SivoSk+?-y!T3ag5tgp|FGW-{u#j|WxM0B}OZU1wz7jzC ze@F)~mhR&K7M2c-l5{A9bWh-$8=22p!J~ADVB0VJ5pR~-WJ$N~7hU*^Q63*<=Ro}t z!FVvh2upXYsL}x$OLtkY;E|-mMIPzd=sxUexK0(#fPm#If)gFE>waN5k&v9IL00r1 zz3KL^xLM0sXUn_VA@3UooDd?WuHg>KnhZjgo(rCfWK|?)fc#bq*(Oel4PTfQ9^L{pAR614R!Mxf>`b zpK+oTpZT@}3P3q>_qu>4|4NEBlJ)slz10YBn?Bxbq%2xZ2*6gCU|D|*&E!8niIn{3 zE*P6BScb8l)=u8OFcIbjJ{!@!l;KxD{Hl!yinla=l{-J9e7Iycp_CD>S4H7<(C1(A zR^-|J^slmd`uSH~5Dk~XeVUi=uG74Hk2}rFcbDsQG5)Zqs(M-$@F=J05>WhUjK%%E zjr5zZTR86%;I!V1rIYqzyJ&s=-2cfPlVifervDee+ViXMv*J0{v?c z{IA&pHC>>-wxFg52(GrEP;No-9)71?-sb9{fbJ8}Qv#~?ot8Hh{^wg$SMgU#xT&v?(416XXApL|KFTk5 z8vTsc0?Pw`^Rp~v^RqJWKWU>iy69Z(#r=)UR;{jQizqNK5;sVQ8z8PU#ygN6F}fMJ z*abosK8~Gj!;zPJi58-Z;yzqFi$DbHT|^?LUjk&!Mxj3y4!M8FS&49s++I z@6u848x;}V|uzO^+n${(npQ{@dPu#-loOHn`~g z8#M)^v(BCEeaLu5_~;wL$AF^p0bIlf65^xtZ+gJp#xS7X`4v3+X=&kM28h|s^8K;i z=kUG+voTfJm`ZG<=xGn*+fVpD2&w6t5MI73Dlb4tydWW7rv9d1Xkd&srZO-5qQl1_ zyu5gi@q|wM$VfEK2}5Uup);%(Jz>7r`jox#yVFErzZcO&Ku7E#A$HFErdLkzPQ+^( zq#9=DR0unB?l*k&Nvv;ZDMYvW-uFBA*!zB$9-F~M{smV|)ggqThlNE~)H<<(R(&d8_HwD8DRCr<=z8CLly{?W(<=G%vuXL}GJ`%IIgmOC%QQ%@%m0uW2*mdG(p_IqP>}YN9^B8278r5Ps>E zPh8`LfzY~pe5Z5T;c(Y)n4@SP={Fj{IZkq(_~AIo`QIhnMP3N)1daO0+uK#<=VCg) zRm4lW#}w~-a6SrGU>v8QuFHMSDp~NcHzN{Hff+9ToStxpYq0Lo5(kdm=dji;kH!_8 z;HuaYTnc~!5!-k|AQN11oxa>#fsZlix~+_-&8AeA;A^aRuJqQ$fnAqf_x^J@u$vrN zoN^=>6Mv4wL91p(RW9=ovPH~?=@*On@Hq(wK{B$M>zssxewga*6Li3OJYe*}C*Fg? zs($D6xm4E(U4E7~T7T3ArLS=*yI`Zwi3>L390#!b*}S}TPA29g!4Rjc##C={QrfM=lli^_(RYvIxP|&=+Eg*bKyMVkvi>uC={Nx zu~Db5Mh{&Fp6GJ(-U83D`pokoDrx_PcOx$NVgC5@ibKu|icDR3o3*_`cyPE6vjs`P zSjGpjq|W#Dz|mSR;!iAk&)ae8gxiWX^SmzXqRJ^s>6Nt}j~LOo!rzIe2nw2co|S=w zq|dQfA8)gcMKCl`RZg)lI>(XkKGZ0rgS zL&4$&-k!nE(K^@rB+cbJt&u=^aH#ifH9`-1+~^ePxez3jfQzvgdNs%iBy zi8r=cCxT4$ffeoyi@F+RO`_r4%wGt%hA-d9xb z3v7!_NJuTQlO9|UXhsi$0Il=DAiYfxM*N5!5-zYEMqdy+j3#0{B!5Z2*bZM_2(?3< z@4P*Nb~un}bU_3zXb0Dt3&nJuWl;~1TJF)~vWy7*#@8xZXOC7Xkthrh-UIG?8I#o- zvCE2E+vN-Z0(RL$z+#tGY!^Mgw~=99rEFXi;xNnTR&F*6(~nk{ARN6(7^x@h$M};n zyo7091W=+6Ot3|s>0^w=Sb<{p2XGKN_ZW1S{cMQ{+&@K2Wy7s=jqpeH`2Cntr(H1I zp8G>lblM%>T-QGUPlaDA{4U>HzWg6x?Utr{knz)dst5@&DgH3){X$E*FKXT}x+LaW zMG}g+_K3N-CGF<{GsIu0>!`-|-pau=?~O?=cv&NnqYf$_4sw({l-!%LY!<$@#+yIr%?ayqHNI@toP2qE7DYj<{oS-k_`R@3rnd@7kSeF z?<@pM5%6}DCNDHvDdP{`g}5G4a)e6axkSYw=1Ok@0iC_NPnELdKeW*Rdxj65kgWt) z@*mdv{y{+De7{QmgV);t=JocflHpBM9|7+92d}q>{UPh^o`3KzgnGq-L@}+@0f~r2 zTQx<1v;fVufV2gaX91zu0KMAdgs(c%gk_d-#3(5{dG!)Q#1hkESs(UU;7~)Y262&&3?RAIq-Y8wEOYvIj8B{DA zey0WtnaAmP%p}-|wlFAg5Md9gGcM__@!_xO9ecc9 zoiqyj1NtJz3_6W69`G!@#JzR_SnH=|=u)E$eEQ;&L<-hjqDVn~ld2^8(CBt1gs)e} zkV`>=Lzl#Jz-@$dp8FDHMv&mbCCh67kaP6>f}U?RdIF8*H4MJ&O=iynSsWy;r~_FT z2%@ifD@|^uN@9zfne&$vTZdIxcl6NIF` zIx1oxC9zX<$^=Zee=&N!;HdF0*{>E=cAzD`kPu%-FY9wZd+Y0{6W$2jZMV^w3W%{o zPR8EDSF6W(!>yUQ_Mg1+tNo{JX|<9f+CDIFp`XY?+cK?38`VE^nNd+#1%uR@?ShJ`MgCH@Cgct_h=+oYb^hgXp`!9xj95F^==hW8X z`ag9>8?!tvli{t7qYf=%hb~l$g+*m*y)cD@m;#B>$BYk zc@{V89Ner9;bucoxdBGv1_^Nk#2uz0ihxJrW^M>K*IR_Yi*L@`+*}cEu3$KL*xgB$ zzQUt@sVhz+#a=0*k${XCK|+iGXZBg+GkPROE{8DE{hIe#)%J=^Ijxb>c{HTyZB&0s zu_s?$ue$CnuXc9r3|0$WmB zRS8&`j}}(~6GP@nY|(s=;gYs&RwM1m^93y|)oidtr-)}jc9|sEk$t~ixM#8vUO``< zV{}t_SL8hL*H>goFhl3I4X>$IV(NL?ctq{7aO|>iB)i^GzXFPmJ$Wzd^ACnUmf+-_ zz45?-u%93?9V9+sp~qb)7JBwx=U?K*hIYCSvgpGMLh&CjjpMx7NW6+)?7b#l{g?M@ z>X!423VP~CUbjB-P(&%+Zbf)my<-g?yRJqwX#PASGU(v`G|%{1-E&nO+@`v6m2k_! zz2_=BxOZPA2lrKijL?_9G};kg|t^=t4Dwh%hm0Cm0aD`*dw7*_HwiI;KXq8 zax<@rmpjHT9qBCP<1zoW3vmX;0ZJ|~j+_J$&krdjH`v%@m#zyb9k&Rjg?1_4IB{SO z`pWo7b^yJ)bd?-Roq1PyMLK!ox^&fYm*f5xj}jHgFN9FGyIkjQc1COd&CY1!zr|gy z`M0>sZ7oO?TafH7_Y$D)0yNkH>TUtOYyqLzNsf2JJ`~7_0y*1)#3Q-OUt559v;f&( z-X<`c1m>W?xHkQ5`OBv)D3n`Jw!f^dv2-^CH0qj2cjIsQAmOpQF`<6d5LaEIg3W4s z{bQ=AP}RF84s$EPQ}0@!8avE)hcu&r!(58moL3(!7ap(fMq|X`pX95z^qil$MxOH| zRrhMZUyjxt%7=UPsC=Wg=f!JiqzS&~uLV74?g!Co_%(5#-@7J5!#h+l(TA4I{_|(Z zCjWWnHJhn07pd;L z&QjfVU8HJuo#%%=`Do13^4L3o^#2eFU@X)q2E$z^ z`OU-Qk)$^cucq$09_l0`e`o9PR8M8r8F;v5mNNzL#G9a%HHnK4I1 zoEa3+UI*01>Mh(l!&UtTo3i>1@wwBbXw|FXrg6h*&K5U{XigxcX&(tSC*b|ZG5`hS z0Ne?>qI&T49!|E|EDaZyhFdJX&qcgud^d!p@kM0`2#F;m#1ioG5&)0H$PgzZcj$vD z;r;MwTbrBJ!p&-n8+wyDoL8_qvqLz)GHf;Y!$oBW7>OMu#10U%hC2O#ITDuh>g=&b zRgK3;e1#L0h{=@!Chav!j84r6c-Wmo2QcSH;UnT9Z194k zwJz)#=#`5>tY- zQflDWsI$gLShO==V?+6(MF{Ph1yyyZm>xVix`OKv zipJjrVjU9x6YkIlCGS@y44u0^qJD&P4yKhz$v4PNsMxL=d*hzPT@KgbRr zA2X)V+*?&=KZ;=9JJ;k0*_-eIXs4^Op3omOdB5X+!>~M$z@p?;17DV+a^C4`Yv}av z!)vJf4V~E=DRA)JjL$f5^tEwdQDTgiBHrhMJHZPRrzjx{lMxW3a|9w4hR&}XT@&Ai z2$120$?$8uFsbWw(|BP5#Jn)sMGg-yOcsF)S(q%s2PR%GY41i|=omgaxa#<{Q}_qQ zR$-C%r8gQz-uAzY5(Xk%klT96=qTh4FP-c<2#(UO8V|rwcHy5=s1AbAq=@85pa?8R z4nU5r5owd(Rk$$!VFa@`qE5evc(umR6E21~a%^N(Rz`5c) z-s}G(?Yje`ESmp)_8{bP_dHKR3Xn^qh9m?M2pu7j-n#IVp{ej{e<6>hvMg)8Zd_RzZ28+F99LMJX z+aZ5})mvQRleKr6&HPh*j;0*=G0;Gk#fmLrzE74MgDmGDqy|65r&=Ol3*U?%Ebi8@ zcSK-!FOScbyRxxE_6eUnRSl1wqmCE8XEt6tPE-$_wTd?b5w-Y7bU}Bhf?$=1U^*TM zy~NkD20I z@fYNJW3Z#|Hy@PuPjQVLW#TTl8MgRIBv+9MNp@?IfXyUm_rk0qM@|m(7x_9q$BjSL zH!)E*4hK4k&N{IK;U$55F%X%qPiQUhedLNjGf|3*il4Ch(RXR7-Poui8TP_N(Mepb zVXx4zH)vRVGwfOoi*F5EI6aUogLoxbJg#9M(Xh{HSbQ_=8yXhhE^L4Cg$6sU!A@&1 zd=r>~E@U|-Q0Qn4qFhLvGfio4)KaN*yeGLT^NZuN3_urAwT7m!`+qM5HLS;MtXEN^ zUrKC_sAwd71KAFhylY~RAgKDtaVP$XooyNkZUJ>ff+#{Fsu(huDS8^m-Q3?)m04E? zTB48O+$17I=_0v@fW|pJM6in6LwuAanv36{x70)Y==(Og616Xa1ngbYNk=)Fv7_NZ$DF(Nl6(p5G(AceY$vJrCv)ePz@C<7nP z85*PeiWoAPP2}kMVkn;WLxv(_y1Zw-GyiZo5PA9w`mV6Qh+!LU43+n+!D+dC_=eI#%-z`JUbH-55y>!C?^WP9MMoTx7rdb89nLD?a&xQ zZfGdpK_Rv83KU}JCJ4nhaSI!+loX z(aLfOOk}X(Uoe;WTyb6Ca(ps9dp-25%@;R`^lCC;F)T%`YD(S+i4@Tk@zkj_sir#+ zO-WI;O3E9Exa&YjeI^yKbxB|yh1_+dRMTCi7S8?~0yl}Ure=bs1|d^3UsE%u95o9o zOAQb)H3*p+grKHK7Ay^f1wNRhu^y7@%Cu#H#iC4;^rR*UA(Ql`CTVXulHRH;NkGIT zA!L#e9$p&6nlgk;*@P&{#+IXOQe`RY zttbOdrVJruwoxEtqI$$eD^*d7dgwv;1kdu55bLlFg>OcX+h zYokEOL`e@(4;kM^(Q{POgOIiAJilsof0m;~_$yg;M-?r=$Fv}1r8-(H+TdyKKtF*P zrs@k1RrO_NCvlx<<(Io(ODe*JqCCnj@++!(YpQzqJqnfAx3W|L5$ifaCJP~J)Tk~n zLHJ;b3jNWQS4V!o9y=he2L#!tg?=@fUFg@NSwt+{6HJr+?g=yz>+o?;AWv)n!3AbR zdGMYeeJGj-&p5VrobqZj;#4_iT%??>o8XS;QWv1NS^w;D z29#eLqy1XyY1pqF0%DY3J0vdR*YZB=7at5<8u4pKKNPqO&u)N7z0G=BoFR=eUsuUz zdk*giRF&)dVN>6u4+kzVk?6P~^W$7Mcvf+x1#NIXnC269(mm zgk|BrKtuWFKru0PBSqt0N+nHx#A4lp;xZX2KUTr4kCO++C5$)9qQt(9VAI1Oh^y_D z!Q!-mr%q8V{5r%Q(9<+N7wa)xaa-efJc6U#ZpD2b!LYE8oh|>kNc4g)hVpR%OclB&KgY@bTLU!(LgS!`-7Z7%N<{U58q)X!RPp(8{m}n`f*Tm2q5x$f@!f zgj7}E#R2v_%gnMsw&7nx38C;RM9vEq$Z0zQ3k_^5{x~o}JQz?-@_x!fC9f$=$d;o@ z#cuI*fLo;Tlq`M+-r4;DRj>B~3ym}1*O2czkkTDze#ezkB)9AdbPO#=h6?NRYhb_t z6Bpug0q?p6a7$c4Ocw<&Cj6=jX2|}ZqW*tVHIVWfA?7xi6?AGKE9h;5#rxu`%CzSL z<0JJjdV-iJS_jntvw0AcFni*zk;S)*D)N?zqMwN_aurZgy=>O7k3_>ZkfA++QR1Z_ zH5Oej6Of_8dU*kuv*J?)LT+b=vvJSYM-19r90)HNpx#-gFdtyy;bF z@n&FBM3+ZiF2;#@ChM}e+LR^#3G6ek2COb%ndvHUpDS>s9rAGBF$?>)y_1~x0m@O{ zWrRT~?`%^UlA-$o^$q`4N(hA?M}MH_P%T??cGhe)59QQ zVOmo5CiCrpfy-8lk72RkZO}@}yW3RC`#dm`@}AM4CnKQT)zC(85o;;s<=0G}*&SCa z^ayfQsKHe%)yd;2E-vPzTMX9)DCN4CO~t6X0F_i1Mv9#AYalZv#d4~m9sOeK-VP6Y zMNe0syiHVeKfMcma;AVEkm9v^l95-eH<|5s0E@Vho0XD1vNDFS+83$F^JzAg6l95&~5{eJo{LzF#N?`fs54Pf%~U)y|!e4dxbOZ=>Al;jwZ*nU;OmirL~(h>J|iLrQEI*zf)YmVXTpQsum^ zAz$@ClJ_M(jjkJhX=V{JRaiG4>$>?s7xF3>f-7ZEmOk17Qn`BiP(iAC##*X+j;rc9 zPT0AnB-&2(B--BU`Q_7qd$t7!zhdQr8^kc95$@j%>if$Y+VY-vg58u3KYk=|mC=z? z`Se!@Tg@=GwPk5ee15PYO48J{k+uIqz2z(wjRkOUld5Z%Z&H&1;M7?g0#jBL5NsN)NZOl^+)PDli4-K#`>9 zgzf|-wD^Z`_wZmJV;iUO;@?&zVfi5MDWHg+4w^~d6-@^b4qEj?NFx&8owgyZ6=DQM zum^P;q(m)w38Vyn9mnSm#00bD;qeBY!DM>Bi_p8W3Y?40-vm}-3e&Jr3%qpoC!@$r zUNc1Rq{aPcuUFw6Ip0NNy%5Jq7>XCfLh;d3ShZk!Q=^$m<^`?2Hu-~%W$3#=eCk=* zYa(~Y2Gs>)*svNK%oU+{4+sJFyF>x(L@6#-GGKCr9eUdS;73g z%K=d-Sx<@Qv7116_(Wh1g(PBQlA`P)MVYwHmTbhJ72HbdlXz7tfl81O6DXQHl)Y4~ z+)TC+5p2b_#e18{&nE*z$bj`f6}SSYPM8y3Z`&J><;|^Cc!1JMHo05G$UE0Y|fZzQyeTE)Nw)xY%9#dL6s;i>_#Ts5ym zi3*iVRWm+8_J7XKOh)mlW|q<~u9>9?-kSOAS8P;rP8mIauUIWMCdjR(StR$QfQ^DT zd^IR$_b+y?Z$m=#Xma|!B1O*KCi_@L912P}HN|s-YKppt)ClQnR|n3;w;|H%`0; zanO3*NDxDV+pOP2Zs@EmybMgVV7FTrwk1*+)`W;^b#N3iX63xwqYkW`D2MIFNRkrU zjo;}PYv=FPz1o=*7aR%gEW^b%*atB_8yZPkCgKys7O(5_UeSObXh3`i6NCBUD-DQm zr@UtqgM-B18t!)uXC^8B@Xd6Fk`#aVcHl}URZo-)l7mx3QIZl)0YVba1sWLN4BSrx z<2yp_%oorUCTqa)8gRA-#P_M}q~_v!4Tx{2)S1^OCCdNoOPns&Y2Z6F@S_?S-weD{ z1LNBP<|VTD#E2QG11US3DDDge8=>-*NeCpCcZQB6xt%~A!k{dIi4AUK5hkYv@ArR? zJm>|ECn<|id_w~F0IWyV#WB!DTPcJz+QSR_n=+?|K?3ihcsV2Zu#rwl+6$_ctjq(# z!e^{La%gd|G5bJGkU*xPDA{Woz5&7tO#?8nX+X%P0b#Iq@N0pPO+!kunvhLINwlkB zR-NExoJDp?nW#xYNTgun4W%(LbCcCnao1$Eg0-l!L;)8Qg^-D&?|Q*w0wEJM&P!BT zqXt22A=(i|)izBPLUt3;_d8U*UXH4Lm8FVsk-LbHsY2+>30~^kmTatw?;et?a)K@K zR1}MbUvk-&TxR43|7#Eg)4kP8w;a_dI7ZY=Q6@hrMb#-n5~RpSJX!nP6t5JUq*StM zfr#lv$n+vC{UdRtK*-c2qLT!vYLR42|~!#^m|HK*H*zshM+=d9`~1W6!m_)TB@|#1eeH$7olU~CBSYql=2{C z!b)AjMwTONY-I@pE+&j{|D2eO198pU1=k5Gg2?JzBO)kT8xirz$}RmHCY2U9{zzgE z0=u{&qay!C6st@cc{^p}+6Pmp$s$c%sk6O?@?oK* zUKaR56a9{t=-my?T+$8NKV*7(6!t_=49~K6CCkH}NKsAvVo#(<9vF-5HSmnFedw`> zhn!#AXUaLTR2iJt!LL{cdHB;w`;A5ctKZ>3d!J2*$vY}~!J&+A)_KS!o-#EXPqBOUbhtknMizh|)K&Ay$d!YAGe$Q!7dd5y@k=r)%-< zwj<&rq>>gQ!YTek+>A#9G*=5xA`@xhci@4BXJxJcW?~`Cn%Y-w}WPRFoeI*G-i(6OyMZ#r%74FhR{iWu+?RYn7_1v^nKY z4-=(Y`NoUhsj8#yo~jfNAuHY(#6$6LBkO@{V7d56)HuLLD_;hESEPJ|gp>~A5Izx2F0IFV#O)^F1Xtr?Mg%k3`|Y zi<@3N7m7DEioISGtdB<^9MZ?xsjfbzo|U8jazT7o2_9IC(2jjaQDxF^+GPp3vvNM= z(GFHll*YEX7rv$!X-PVQzYL-m=PDtvqU{B2WGA%T#7P}B- zI}*;8#g_*kGwzCF<93%+o*G?OSyI=esckK5(hS)l!}qvA#O^;53o#wTUB|+-2u*Cz zQSsbn8c>ZZgATRhHd7U-XlHU&Dx2HPC-jRA`X>;tUg3dj(OuTOGB_?`(BWU)EPhU7 zgO1ZU%rwuzA&#AjGil^hER=n(4)%p>lW?1ET;>^)ilQPhy_{Xgh7-!jD-I2C9X6Tv zI_b)^d*LFD1`b9Ofx@`GoPcIvB`<37tzUY?ujnpLV!n#(d*24W@v)=QK}RS&f=Vou zE0S@e6P%CkVi+K3WPK?mVDC%5FV;Vu@}`H0UdOr{OH?}F-*|1h(ny5dPVV9~zQFNz zB$0Qq4k)7A$PoIjsErT~Y9k1_ja-|q4Ll-P6Bj@*@DMP$zIBZ@?qVv^;9=10WrXN= zy+rTN^KHb{=SXjYLv~+kB=35Wu=k9OO83G7@Sa;=hKF-9@3^xD>EuG=jQQ@Z$hn}g zFE91148ehZ5XO`4qQWD8_{n{f@Zst_S|gdt6p(F)m*3&*9 zOzCN#jEJ7{PNTg`f_%qe;SIr0jEO|6-efd3!zjZV+JcQJHvX@xDB6{dD4sF`dTfSIly}@5Y>!hr zL>DXiry9#Cj*?r-a6U?7`CCP0?GVlBra_vVyCTDo`&;^Yh?<$o1xi9l^JEP&)g&9f zd7i8&Q%$nrI|A6@X`{F3tpU4hz>75?z8P?`2E?~R_YJoOyNN{_Zk~o)q2ch&aO*T2 zz8yF|IKcNu0$-dVT4X6VuW6Pt0tk5uo_3#$o=7BLubW)B)9EgI1530i5cFM< zDF7xm1qiuMLdg5i5%T`?%d&X?xtN6#3(OwaQOAYw-t+lcYVUb8a<%t7iI`A(&zoi$ zvPoCphXNS6|7}7TbpP83f}#HR#%{hD;vvoC{hCRHuylP5X0M3Lr7`tr2ny$=@^)30 zMc|ovWqhGHsN^K@eQJ?epRZ^VM^z-Q?kB#Y@qcp;_*sO&%hvS%EMsji-^El8Gkk9a z3?J&{n<6r6%axsyiwp$h0flN)r4A59wbh`pu(t9u9EMxeu4J78QOP8`7Vt7Xq1uK# z*2g!K3NR*PHmSC9GaTU`>g$^-Yrf=6+f35rAY^hDYI5e4Bj?)6k^@96AB0TLB+&D1 zf8R8L2<~mhmm}!I0lul?Y2>C2w%av12$`I>G&ygSBWHhQ$pIoJ2O(=b!jnTV|M=%1 z-$*KrNqV9jNrwjereJsNJ?}eitEi(Y4Iz<*4vW&*ZN*4@UodM`)}O(MuBO+iWYqy3 z6NivxCF)>Ca$U7#`S(S>F#@qn-QVS?`)r8sDx7t5sq3q$L&(%kRB1C_u&~RzJaLmN zOB}EFu)*Y}wyLyOf@lxEv z7lPN&qhu@J^>ve@uZcZhe)=-z7k~THpD8}BD_2fSnj*fet0s$%v#j)tB_esU=(Dl;b+Cz^^6@%txs3g1 zB+Vp3PJI&$iO)bcIT?pQ*qJ~Zx#2&-SW3j2{$ip#QG8lgc@_MOT=RN##9*ASxE_wh z-Vj@CT%d~K2esPQQ)lIS)l;2wK|RQpdwweImEfD0v6=Zru#PM~99z{KiB#>lG_AL0 zCYBS|ua2D@JCUM8VcZsV6x~9<`{NVMPl!+D;xw%%YaghdZ+_}w{m5GhX>!I}u^B0I zs7S7wx%7)Gb}q=mNH0#m(F$yg<-8pyV=hOhuoiS<%LPuypzIRUJIZOmiI|!Ks5M>Y)k3`Q5EV!uv41$r#p6FgT_ zyhCTh#ux?f`vNF;Pl_p)v)>L56JOMmr&e3J^3S(}BaF5RfVT#;tWVqR{>B3eK+;C^ zsjr5+J?g9Dwwdn*dmCYuHo;9Jr#RS>idRGE?sE6(;8Z#HAPgihvcQ_wSMD%)({HS- z0Dv=V)ZJyNs6NRrBu}0Rjy3Mp%+SomddicI*VX&CA@dKb{qM(j5FcBD;oIQP3fUEf&M|FwLq$*>$52@vyX{NJPEeyOjVt)unX zyX5DK(*6yrEDaj@M)fs@nIpIK@dt=p?t&1qUx6?)%M4RIciK-u>U0+WNl1iz-u>;( z)kX(`U)ArAfN0x5agC5W#z8LT{tY~|#>lK&eX7S1gR|v5Uk8g#WODc!luf2CS$=#grl-aND=lew)5+F}@!8zV z7)5eryqPMRWJlRLq>ai{wyt$b$<(Q<*PM5raUT6?TVIGm$o`$!g8Aqhanrb&E=OHs znewlxF4RW_12Rp7K;c%-&IY+(=?f?exn{7TpT&T`u zaW;25J*2O#{~3x7g`Y;5w4wTW>ATjq7*b(V7y3RpS}X=HWa>82$A1;i;=^p(h~G`g zZQse@Lh%DqXzk`CQfPwjJAl#U1Z439_CRuCY(q|@H&mz&whT3F^Fvp>-)7TXKv*_9 z6Ksq(a9DQlvh3Q{9Z!t$(^5?vx@PZNm#c#;Hf8oir-sTMEJ0p09w5fh{y8xUbkGRr z;)bf_Bjgdz<%p+6!7ady@pk-@-NS z(vX>RXK#v@Spmk0J0UNg|ltoWvPKuy#t=j@h=iLC1yKCXjD)%`#%EDch zqb~k&i{qL0wk*&_Y}^idw3VG}l)=vRjU-35P)~v;W!#?3QO-3Q5nH!H7aX=EV%<`9 z5d_2Tj==8Lu#S1#E6jF2ICC=V_3GEj6V=Rkd6&=36#H|OZ~ak@a^pTD?)CMhh~s(t z_YqbxKf+bYNK;<)`y@DJrhftkc+rH(h%p=B4vMYWFgonXd9$$(jcn{g11WnZ2LSH4 za{m25%T9^hH6`H!x#8~E0pi`9C|5c+SGm&7bG0koQkBLoU9()}N|)p+SGs<#)9|R! zSAyru4sqs60UWijG8>o!k*tkcb}k#WHtS-i#SW+FPYx?CgL33cF+xg^C-z>2d)RRNKiU`m( zfjF*-CAqYM(oL?g%o}k%7zvsk>Lo<8s*X*$s+XB-o2_v)(X9(_9`0#&aWq$5bMcKTfW`l%7XKM7{`W}$Z1;c)y-9PqKGD2^ zP_X!`=0$}1p%VY}B=hH3i=sm~|5v-M*+`CVX3mwPMI0TSVJxm(RY;G=+`8CbOc<-6wd2S!)S6Z5lMTb1MgTbPEB>Cb< zGEX%(B4U(W+vln7WqGQJw-WP|z_Rm{TfKu=<^JV*Ksau7dzZtUyePLCPiVDuEYNDo zlO6_k>SJ(Q6ekta)5e?g)TXsO1j6SDX;pl z!m(Kvw=*xm+fh%iz0wiPgBrHb*Biqr|GWIcELd;x)o3pmD{sXC7CUdyNk_QgqO)d$Q=#gr;a8c z_kNOJ4`O)L_I^bmKZddzvZl^vWgd4nVtFIw2`od|s+PE``Ki8HB4>0oW8|at&6~xB zMrxnV-3Y16TGl9ng{POE*I1s3V2SiL;vG;!`y#-l+t-{`^!tE`_UXK-OM1pFiM{Dt zl=__fp=xZ96f2^-+}EHC?rRQ_ny`(E$;U6YQ8C!;02>9zX>?b!z`V|5P~5I2kpLJp zDFT|LK-r4XsczV{;n60|kDJ*rL7bnjW^bD3yZ$sqvSG`~SB8yU>Hjt}1MSjnIEW@0NhEMNK4Ir6|@_|x_Bql_G-#luXX$av8J zSRTXz`o%qB0pv1{@UyIj7(($p?>>&B`fwLo4pBw%NkdJt$K8_=(@ zvH=L$rJjsnD*`>Z!e=l#WjLJOF6LG2k z4V!YQA9B&LsRLTJEeP4vA!OUqyRot@JsL+Dx`W6}Ouns|M97BjTaEN3t_(QPhR=C2vs#Hk-Pba@@k z!^%40hiT?O3*N zn<&ec-V^TIZ-gRKp4=$vo8CNVo5gZLarI{6k0#28djo{g)aWZsqRbl-Z|`N^D_#TE z$gF5qftnS~D^RndFiK+OyE{nIztxLoDsDbN`O zW%CA_v4-4pDL6ko!$=cL3e=>)wFPR|&kQO-^=ymK*K0{MmFotZO~ni_Kw_9upgc2> zt0wZi zFs%B6m?35%@`UK;D4Qlk5yF}^k#`R@dmDeK3_PLvD>Bdqpud14+N?cI-)z>1?5J5$ zVB(gJkXpL$a|m-~Zk5SY1UL1=kP$WQeJGNe_M4FJGu5#N4cyTV@@YhEL}uJV5(-rd zNhn02tmPf)7kdL83snn2HE|1h&7+`h3+Weu?H_^duVI}QvUG&WO9q7-VxJYG3)OHl zT&SFZOADi%0YtJhFtJeHIm-M@EGbkS|3u){#4iRs2AjUog@zn1d3(JJrR#^Tr+3bcHPh?f2OgBfkWm9FQvi~;gV|y`W zQ6qkD9^Rr|FvWZTTVojw-6%PvscO%Inkuhk@Km##%)be?kWyzfRU4=lDFAvrWJXhC zRpytCaU~Dqpbb>W#e0H)_`-oeuCGIJO<25}Neqm#yRp^F7kw6_YcIYkg4%0a+>oVOAZUa=?o!reeUH3yto zSw+pEdQ-PK2qb1+Va^pvs8;GH_FQ2OHKbg*+DwyeXPfQCz0Kq`v&|O9MlO{53Ys)t z=Xk=Ko2k}tD=uGEtpO;nzS6v3$Y!b`>_Uoe2&zUW(+^{Fg^B0ZMvd3yEj&yTr?x%VP5(G{LXQQ7M2%yzg1x`=x( z<1f;rT=9D|QmLEJ;Ac9M5&xLlkp-iyO7n z<+$*@bHmOIQz^u7ujXYZS71nuAByAd%_AK16wty|<_ox|m>5fYIx-?@Y|x26%5qOFBL)jBJ3y4 zFDT>+e!+{D zo#~!k4)dIIz|4$N3B+it7G)>yGB+5+19RHEMWkX`mF@NB)rNQi*@@H5Ez}%lizqYu zY72Gxwj4=&D@zh^mafFe=TprrzS-I?y4S2PPU^_x<*=VV2kb1$*p^B|fSom_mi|s@ z8POQ7qfpCAsth3_n}Codi7@$oa|eCzyWbokic!GgKqG&9AVimj=&=u&1&NzMxN^(- zOv>mpYfQL9OZmV980ifBM}B*g*`>n#lQtp$gn#5eu*uv}Vg9=wgmu2^ANlQv%tyIK z>4>vi?L3S63z=}ez3wR75e!1GN0;Mhf0=ywE?hD5-os{*f1Bd(357msi~3wmy|r?8 z-)mMj;1Tnn@V}^%cC}PavhMHebAQhx&V`#Xu=4L$+1~PI%X713Z!rVH|B1?W$eXQ+ zn{DY6<|f1coyvAhWwUglMVw8KV4vP*4rGSbuCYS0)poOHl|Ul|K&^KUE z|FN0x&nJYTFk(;sWQHg;;XA7!s3F@RskSWq*c?SKpL`5i_n`cEa=aOB|45dX?!@}s z2$}h=*&L7mB1evTIQ;2%&6L!$`U#`tH}9JDj8SV3!ryr888aErR55J7eB2+m;61bC z-(Wv}Ps28l8=f`e@#;(j7Gn#Zg!^|lWmGF!@|;t|E=D03KN~&d=ugeu=#;Llq|qQbU({};M$$2!IvxIkSyRktC1>t2Yp2XWk{U^W zM89}w_7TQUm{*5GD_4G*&{4+hGB0*@=jL5zT9s4CEay!%GYvd-?&waP@1x5>EoSuW zI%`bnq|CXi8&0Y{Vs-dfg^Dz8w^`evz65-I2dc@Te|opMDHa!8koLsM-JfG=jrJ2d zn$r={xR3mEXbw(Pd=AYCQC?SbmfnC1Tc*5Z##L#I1i3X%q{>wxS zY^I)F6)=V26zfpf1;sXMt!6Glt!3$_W=?cc&DKiv)mpRY8+=!hNXAD*GO6x})eXZX zGT|$;PD%;LRCO_tesNt)Z0)TJ;}x^FQx~bBFzL~xY7lJ@J8E(kt|m!W?b&J2rQ^ppp0?VVkJ1ge8{}~n zn57!K^;L6J>}^y`D7@Acol|2y5WPy(*u$#EHc?);#)2Q>nbM3e%s8>Lwfy@vvx)IS zR8`RxglDg+XWjCg`sju7cIc|wIe~_Xo<_!Jf ziaArRVrIV)RWb7WH?Zd{Ap0M4gdf|cyzmElgzsxpk&WH?rkUz+(+4D1Z6lAoY0ikP zN7zDP>^r9dW?T@H|FlQZLNnRg$_WWo!Y22(X5T9O;A!n8`UO27fsRZ>FewHUU}t`$CRRt64zP@# zLp?RIyuzBudE3lzWIPBMSArK(`D@-bm&9%*l(<6mpOU!{(U0otcu6I5b?hPtw>o}( z2X5dyZDiKFSS|m6^YM*!JKr^v&psG_uZ=wRE=KDJ`A!e+=e}2^@T$dEZRlR#;(x_( z=)DMr=Avp_wXzF9b`&e!O@RdJ@Q4)dt`J6dS3@9%16o0Lc@>0`p3@2fNwI>gjIJV? z_5l%2`e)R<&iF5Vvu~6sa54|6MEAv{hPxFrpRWab2+wwEZ6%0Vvi81>IciaRJXw zBY=Q40wHMx?t(4+%`9~I9|`_fA_vX?FTmOTs9uzk=7M%OFgR2TAa!wncK?d1tb9)j z{#Z>OKxU;Tf736vBY&4ulP!m%)uhQ0xWp;#;3yn9T`feHto*5Mw@7LyA3K6A%{Jcd zgCG3wN^#lbtH+mDiqT*xp`B8SS3ffc$2LVdh{KY~pW3T&1TzNF`R$bb?nKE&{u0XU z>V?}$4r-@N_fX2G-QujpqWalw_l0hOPNzH$1rCt44Xc(cF7+jdl6Icjpyc*=9gN&b z&_&HNJAnvNjzoR>iKT*BW6IaW#CEDCCL)KbiJR#c*Tl{3ybbo=uduuZZxd2pB45d> znkk<+YTjyWB5IZMBJSflSR!LyjZctuzcJ?<&vPnoklM-guUZjG7EiU4)-mi8I_Rci z1q|Fdsm~rWixbw+3z@tFxhnS$CnCAUv36<>{0|jHhoKSm@VA)3i#uN(MaDNzU8Ag# z-R(*0ff4Bd z^L+VzZY697$*)mV{&*us7;A!(avHg6xyPB0IQ_h%q;(1X03+|rYPUy!>N|Ec&m^J0v zGiJR=z7NirwZ#FIk0J|xFbg7y^L{|z_l29dAk(TLZ~g_tU#FPV9|8Weo8!_S6}XXW zWy%p5Ry{mVu{FyoB7lsaqEJu$31jW_NE(knk%xOG%^J*<^RUF>Bz^a**-0QvbaB-p#g#4k z&Fp1}x$Wit-_1V84Fpz8w)(?tYZMo4E<#;HC|QeyfyEo_G$tT;gL?s1@gq}c0D{`$_NTBN{9u|yn^rv@ILkM|t=%w~+dRQ9;K6#RDS9>+d_FQ|OAuqeqz&1&d+(AvU;TA}qEk?+@ zXL1ow>loP`)Kt}}_R0fk)S;5p5F(mkyFeqtH_x!$TE)6Z4AhbR%3&XT4%nGjU}att zI+Pu)ip%)~B95Gb8rG?1wGmf#;HF?E0IfEVsE&2jtlE?hO{T3_T49#qW5@1=Hl@V_I$qS#EnYXD^oH?A6M021Gn}_+O0(-#mACLVtf-4)Muz zK+Gbe0%#WYu?}VROe@787MRb6T|Rjh_8ANE5ei4BRG)MDD7X{QhntXsGG0QNo56dG5)?_K2}=azYkf4s~GXXIX{f3ODg+meqq2 zqpfl+SY-%qMs4e9aXaR7ZVYCKhbNN406=HsdBoo@IEd#fho9kNF8RAV8N2cMm64hc5@(Rrn#8YGWgp1D;j!FF- zWmL+*0}*T7uNo1)S>xg^P>8Et;BAG$3o4J8HI51(jeD)63>x=|A#yJued;KhVgDX{ z3i`e#*Lt2pww_(w_{Z|B20A`XHtUBP8tNtvZDehZ08Mq{ugSMsP(0OKO)Y+!n}1D< z9ZMA}O61|r_TBQtMOLcZusAlR8r4a7V~H$nX{U-CnP*j(=JjAWQkOELiB-4Vc4S@_ zykh*Nmrb62N$I$8UCF!ya%X!rOnRuj z+9ve?`d93L6mMLhhK;Wg5!~<7_Qx_&Xw@{tVep8B8A;R^Ldz#YNUM5z|riZytnn;4xVi95Ir_hrmN4y4Nmqu(K580Vs!E_p zvx7C#oA|Pu_$e|cK1c;HGkPU%NqcD(!=k>AA|FYvB?lB+HE?1V3hJ9YuGQ-B?d1I} z#f&d0s&+&PN%)TTa(S`U(A2G_eS}8&ezA3}|9i#BaW5w{oxkyXxuL{*Ux-doOawZq z29C&YFR(75#As_ubNhdxR?!a3-yCQLXO;d9+lh;u?2S-Nv#y@>EBw zj!f$e2_q-r4Qi@818=S@x!g*WGip|;Q4TjL@~QpqkXfs;5z=$%lJbqr`eGL?jmXv~H!uXd(7wddd=dS&xat z9pwvxA{^)gMcCa*DME5zt44iNgz#dcvBqjj zjq`e9&*^9WT2yAVXlRxkm5N4~SoX#s>!?U<*tuLqKt6jeLb-*yT>p@$hSIv?VhITe zsLK%R#R@Toh5}<3jd9dat44N&lY)OodG}B_Bn>-zxEQLqXf({)Cnh6_^kpLP5ekp( zT-NkrtE(Yqca{s+p`9-nXVsR^53^$AGsCU+VnJuJx;b*j?S8+t2r#s&vmSuRPkTT! zbb~2nT-31K`5h>ToIk=!ZGS5%${SFM@m_T)B^szlLXgpuP&noh!l62WK^@aszCXg+ z?3>itko`AX^~DA+19x>U`(mVZhaom=25uj1T_eh($$mPDY~&)c=j$>jpv=1{IhyRR zU`R@7!EI9g5v!LOO;?vr%Em_yR?m)5(!Vi52rFX3h%CA-yJ_I0@$&al>lQJovs^j` z-pTu3mfq=H_VpNRt|7j3>twt*5zW%cD3*{bx+bQ8f_KWZRNPrk8E@5U-4+S|NWtK z-NjWU07ciy43H2<$SkDTstyW)j z_Oe*gMIM?0TROOlJb$V+L|hcj&EP0*27;Rb!FpK{y}km)mz3uxy|WBWLxt4*U&Isi zKZ)PkQXcuzF7RItyvT5=qP0RNLw+^Q+U8%RGA`)i@iDGuJ_Fy2^X5v07u!k;&xKFr&Mwz5bVURlA!90Hd0|>(NyXUu89yAI!1l5*})t)&eBc z1U@QpP*=TI=#9DX$OeIj*n~VeVV<>6+y!KGzI!7TR79UFu-m%I1@o=vji+5P)xM1o zD))H@{_xb|CHBq=^;aygnl#dak zYX1=Z;?;yhKt=1rpqRI-n2W4Q^ud>S+_T77` zrPg&~yO!B=Q8L@^$}Dy(u#wEZI2f-PC%~PZZZi;FC`}R9X9k)t_$se8N)aSr2zpHo=RIZ9?e^D_3j#d(|6<=vH40C{Vqm20XztY24j zFRx!$MB|FmuV)dj^y@kL#rpLeBtfBkc-oCdQ|3-D7ZdBe3-%u=O;o)1 z8ia}{>%PgVWr(DnEMF1dv+SVrLP%SNU$!#% zR2L#vypfnMM)g$U#y2l61MtKsyQjEP175BG#bO}7KB2Y1_uMHK5d#NeW*_1Oq z90af1vCOvy7E% z=l~X;$bU&Az&EdY{ZfYMnRj*MfnI7h{{>J+cV8bo2kbnXPo>aoKEl>dW8{I5*ZFQi zX*8j|6w;uZRFZaDZy0zT{cEgT^U8EAc7D^rHiZ0?UTsd}r}Q#Is)Sh58xjZ8efKs+)Z)611{`8kxK zZh^eXMTSDCI&s)Bf?x602lp#QqVD$=nfGwzi&X3SR1DQ;Z11wX-B!?``r!(#3MQi~ zbjOR`{WWW_Vc?i6 zh*69W=%X|lA+65i;?oFK6U$LGwX#$J7c;%c#f2!=vKJ26&2i^eq>L5i%2;!*Wjx~I zLK!UBXWgi$%b|b%9MH3cAXZ4D2J|Vr?JdkC;D^$vzFHg&l7+o-a3PAhZt6xgDTlu39MCh@R19%_vQOC??^%Zp z{7_sUk8rIFW1|nOx1lmbjO6!NCiGS6gpdv6e3z;@<)~U%S*n1`F&+-nh+?K;Je;We z%b|bx9MChu}09VI1Tc;K$T;#@m2rTZK5 zYH4Ko^&_TBFQp&UP~3lV51YDb<*#YyhtF{lRuhuSgs4T>v3(tdz9okc)?Ql5OS%ej>`cYjb#Vr$A4OgQi zd{;ke%@qArCVyYTz|lL8T31naUh*6CHI}%>^;4^5h}`tG)mSH{$unPL$INUuar`%M zhaJdAzX9Y;ZsOnHL_zjE28ZfyH}T11*5lTiug_DvBKZ`FeEOJme^o^i&G)5fF{LA_ z2*h$-VO6yCaqDnd%i~rLLp%>&^u~w#PFUIIPU1<8`rzQae*$|Ub~0aSvc~sV33*!+ zfXLb3TLn5XQ!?pax{0BanE65`-fME(NvwnY;wGLsX?;hD*oHL}?tSfAHa5iF6?8u zWpmD0_Zqkyn@Ql8a9j50N)I`e-meFct$lKaOxgNpD~+zCiSUkuWj|Z1BN*EMf?16v-VD4Q5*c}6Ommb2 zj+*sXx?k9jbRD-jKJTw8yZma|W|Rixqc$2O*OxQml4EcPoEt|i2H?g)E9o`Hl5gu& zKgn9Hr1KPa>?74e6sh_>a6DC_q(Ho(=08*q+n zta;FW!d6GSQUMFJH3#s>!m**9{!!9S!>(!6XmGA2$t0hBtG|URq{v$c9YFF(tn6o> z-OH$P!8sRleO0@ke}F2apSO^U{!vJS82dt_#>jInX%0eh)< z04X#MzjuHdhp$5pY(^K)>-e2+Jhq{C6$f?v+X!jU`UTQyn2m4VaDIA#8noh@2d%)z z!}GvERZca8mjoK)Sr!JvCymbKkz6}Nj-FSoIT9Q=ccfgbf!hs~Gsh=Jfbq!#<>3QW znfP{KKTNQvidhlU(9+%!{OV3 z=`hHx-aN&-PqDp!~r6_&^@?PTB{5;BJCe1M?f8U^FoQBE_EN z{~dXtVZRPk1M?+rwx2)`J;Q4bQayUyAmmIBFF`T1oqA18dwLZKm66kX*fmANL28^{ zZ;uQ{5f`tld=cyzoT?Ia8g+3IB&iPP8I8&v z%-f_2^wk@r?_b&GlEr=`iG=(}gmW_N1r+iav^GRTBZiDY%6FcdY0nTfI>_%cu}SX; zfM^!wzq)o1y0!D8F5$G7$Go2_%OkL{2aQo^N4tm$;Yu3)vQd|Yp%fPy?5(1#!Ijhi zAY-6G zXcrh5d=eU9<&gr$obWtk1_EQ2DL&%T2_)myeJ$F6M{ zZ$vTrs%8|SJ1RV^==!ghuH4TmOV_K4+g}tKpk{9Ua^*l<&Ev#e=&jhmg_W#W!bKb- zWR4LA8rxsfH@kQVP3)Gq<&+9y@6~)2G;8|@8+20>`|(KLiwckzn|;rccYlGML3vq_ zFM9=liyXQvJcMmi9UC^VK9&XA;y9bJT@i6<^)T?r7j7(~%LjejqsJB2_gA zX+yVx2P!FzuVYNR$Sb_s7gbUbfedwn8z&>E5W{MY1;|KT=W^(KoCErWo$xLoN};L& zZmOEHzuVdCjMy-+KmwC=K{&SV)J+niV<2j;GikbJuFx>5W)h13&ox8) z_dzW04E7<6?pwYrw%@{gscywQtSbf~SIkRMlG{~Ia(gN(IUwUkgNLh84Qp4&)r1ha zVsM{dq+-4)hyKJlpyx(I#Zb*4Dc^Lq8p_L=-3K1s)yZB+@JuH^j0W0A9;v- zd)S-K4tnRmfgbN^*FQVx=6?fS-phUuZ>1(&ikpotk;XN4t{5>SA_m@ge^86z9Y+ju zVITP9-wsiG?qPX(&wZbdt5gr2)hj(ZMDm_{guLhe#lCiifoFtf+Wg{(gQQD8JMCYQ zP}{hx5RcZSHRmGh*ASjIAl7 z*ZMbv7C8_Y@9Uj*vE3B_HV6T;GY#S7W6eRy89npWG{k=g+7BBw1_S1QO+$E4$i0K@ zd9mYFQDgr}TXQdM%e$1_cA>pd)R=kB1j-Z8^$=TP=6nGvu9ve(7-2E4BZN$Eq`>xR;iZ8tSeJ~!N+h3#ORW!Ek6axJSZ4fG7t64>{LS1t}%m0t#rz*>sFu zD8MEUId8*3dwQRlR#(-L>e6BEkP~|poFV6(L)DP8>R9`+#A(Q*u(~GY_tkb|;|iiA zazECzVKQaOz++|~MX9II z?0xRlw_q|hAn1{t%wLA748EWmS5T3kDz~k& zr$S*)Ri1fcbIaiwhdP<)mF$r*$;kh!9T~|DfX(;)N#W-ltGzMlvQ=E-9_vfuGpSD z*T%CknjLSx!*ell>f~!V4~F6U3iCZY&z>F0*MSU(7@@@I#mA}ze9YsEKt;=UTZcz@ zQU?=9D4rUO@bHwl5Hz<(+oo4;U{csgdSRg*Nr>vYnTd@l#(b*+%41ImnE67h$L3Ji}%sH)RzA|4Rg=vw<(|CK7^6(f|pt_?mdq&k_EyVCkPyI)n~ zIwCF6SAO%ola=d|Na>lQHs9ar=?2+-fDG7uI8HX6-G@6tf^r}39Kr5`UvIugm2aq4 zy+m%g$sR>>=GYjTW{B60#mgfk&y0Ve zlEh(zG&6o0bxbqk_+~fYJbBMH?FJx+m*OGFR8-OTw18~oW zMt~=!cR%G8pSjYWh~+p=B^*68j^Qp2L}BVWQ5N57*TH&y1QE7DMj>LCVk^~@Y6~xc z6>=$-tilF5$bnsoM@E!)DOQejU5b|oTFqi_9wE23Ol~MIT5YdPyc>DS+h%qt9w1^O zF2&s=CESAn0wJ&QJ?5gj11w;+8yCw1pveCsAxsZH25M-s`{-J`*y)0?v4?Q#jXfjP z#-5SNHJJS$>_7Q|)7dpRHBz|-KLK5|Yj8V#SL7NT0s!r}0fA&C@%i&@b}tIK*?tHr z$u&4QQn?1y<%;}KYH~Mcl=4#$a%WJ2c$#%@KT355{!#MCP1PIcj;bUrz{7pPP>l!Q z+!uuP_e2*jPrFY&2gKYLPyxgxLhfO6fS`OWQV%PZBV&~9cJrZvxOXMeXkD0kS8?ws zW&S+bRL_chEXM|;JaSY$t9X@*X(nFMf<(xIJfs=^upGmmRF+{NVoCm>5#gI8iS4Iw z=4kc`Z=09AY4eNmemrDHix|~LSF)N28BL^8AtX(N+_O?V$%K2>T)gdr`vc6EA|fW; z=APBb$35%$73Slf)delrv-TV9sU0^T6~R3#ieRzt@`_z{c+lP{lE_?DebczN=u z{-gE=|3RQY*YoaZ)f;ImV|f;^M~!W5o-wJ~W5a5IZht zZ%_SFkio{09iH?p_F-{;DJy|;cv@2iW#pj(9k$x-Me9F()XuBOBI;&m2t5ouo55iO1?Y8164|Kld8wmdmn&o|a6siMr{F^jU<({-~O1mUq8&_oKjUt=kAu~5_= ztW4~2u^@^)E?{9NCkH~%`rj70U$Hlc93;_crnZJWa>dnhu2MiJM6Buf!@% z#|j0_7rTxEQ`Bp&sVqUj$h{^)?llpzIhkDnNjdxMN5m_dq!*c_RB*z+!AF`HJkSK8 zNDncGDoYG-axZmSArttHY-bj}amtN5Z=7=D99FB2tEB9Kjaj8q$U#7O`fd9Vh0O8` z6|mg*UHb>o7A4cJftKTxHX!7Fxu2$}cR7j%RF)zjVtyxSMEK@j`6~T=MLERRoC9KJ zl?otM5%Ox=^bauR^4|$GXb88DQ-)Eu4eFO$Qi``>i1AS!@?X)UmUaHb{@M_KjZ;q9@8i@|z_D==?A&?gj#t>T$46tAGmh9JMThaK z^Mo$)R6x;ZcFpv&HvYE2AZI*d)(~ySs}++6KEtMz!R3%N_`K3c4!jmfm2Z^n!vI=CBOSPq)I@qdHnZXB2P$HqemLcV~=9v_h!&u9EdW?8vDs&=Eh z@W)7$q3|QBYMd_I10sigWpDI9qcT1{-lM6s{ODv>U3lN4c9p70YtB0_YMV0O-})+% z_|IP5fmYhG{yWUZzehze!LD0B>Np&vPZX7Yy}_oT(^m)H@<=QHb0kflG^55n0%n({zu*F_n+0z1;ra>rIP zuvG;8H$ArY=#O@~sq*kK)vO8BV@Dm=H~$}V?;RLrvAvJ`PIj{!lEA*Z0fZ1p=!5_X zf{KD92p1IT7En3_lBFa-=rv03kibwSNR{405$R1t;9k9YuOJ{;5Jk{y2mL+g%)DD7 z-p}6eU%!8L_MLamnP<*9b7tne^UfO|$SdGA)jre?Zc$(Q$1UosT0~PLeoZw7&r~!H zeEp0B5>}_4A#?9Vlq-clnm)%zpQGumFE(cURN`;+-N1Ie?aA`$PmshcEr|sIl0Y6y zVp<>h&Cewc8yi>>dE1s(j-KWR|0Y`YZd6J6+iSK;#$La$ij?6G1up%ygcqL~CV}!4 z?VUbq9(GA((L4-Un|?zW{4143^Dt!b4C*A(8m?MJ80W5X;p2Dv`>2nk0xM6YCbBA? zkOk+kM#0Uw_eoj}T7s*b{B|`y=yIVIJ{w)VuX?+6dIgvQpAJ#A zuX;1QUSIWQ>%)B^T8_-@@567lmX*&;vkezL;CU{YYZXG6&H>OuO(*U z76ovo;TAn$noZaOK4lk#HSqOD@Zw<*DG!542iaUr1=4HnT`BmQCI^4J^;N#Bb6@_> zXjs|4hHRW*!-*hvSB@x)Tzsusel*ASs<;A92v>%Ej3O8Bi{`TJZd-j>ex7ZP_z|~g zkMDQj8tJYjZi6eS5JfEm{-&>l3Nz$^`L@Tz#{fYy;eVo4G!urL^~1w*8UC5@H$<&w z!XH7hv|ly4m}`(T5oI9l>N2gCOMPlEIxMWQ4^By$8tJl&DjDiif;b|%maCS`?i=HD z5@DPdP+0aQqg<yy(i3)ni;W@r)D*@e#_m zA-iBj+A{r${D7#HA`fTCcGun23V(=kEfr2T3PF=DX*SfFEYa1TE$1$=d7P?zbf${Q zLKF?5#e(k)M?^)U!rAW`N{yAuxMt!BHs9xmwU1`1xhhhltSiUBTUQNT^~7_?rY_VD z`*q^v)rLt@(${Wca;@L zdAmyd23riaofKuldtUwrZ&q+6V$^H#DkN&BiDnnws%; z;X<>Vc+@L@s_c3e(WE0Uy0A~?MpQVxt4fc^DtdhyrWu}qRi@z3|ER+O-9ol|#PzU1 z?L1-WO-98Xb3EbTjyc{N*fF1$m#Vrt>yBAdy0+Uo8H;2}n(mlk`Ce=%+HU*S*h-mC zh>gHPzI7e2kZ;9(t4pp$)5*7P*=eh3WGtoIrTR{7TMHC?ZYPrRxd{>Zv;eov+1ylds%4)74Y_t<9PC9|}amMR?mR0l-L zOZGB9hP!0)ucEk|TWEX4h^M0UL>x*{f2`OqSW%b3{DJ)u?ATzCa(_hXs^c0akg@^U z`YCOFueEgt5+DP5ML{Fq;p~XY{K&KS+eXMM?OiU}wk2i*u2MFqba!xZ5WYURk{t~V z6<&WFCPa3G)U4}zj#7q|sbO`5G-&AtSY$--xKLERsCgtywOUv!jhA3UsF`i3KGn=N zw44614ejn1Y(qak;u;+2+#_Yzw{1h@t`5{3mr+f;(@*9~*GTfIHaWL}D@J}@-!;tm zjAWu_XV-v_4C^xRkzu_^uUtqki_Kbi2j z>u5w7+=fk+#)nI2c68;aZI+1Xuck#w{nfOn29=5PqCy^;8y>eUmw6r0h&u&FY0;>^ zGAN{MP%odbjTA3}1;wK19T`{6`TLV=b_A2aF7Ki12YGhzVM{{FmV~r;BUfh`_KJ)5 zwO}{_Pc<$ZHKdX5N;Il+7KUZQPQ5?+RFI%}T<+IjsjeT@%&J>X|5$a)`v<+o4F&x4kV4|nOJNhqt)zo?`f5wKLW`pFlnTMlybop22C*2uyadC7D1l z6XbDV?P?QSf`QqH??(CnHGp&&z;VPRZ|JpPLi}Q}TE>I`ZdNtih`9kbW)-Ps{{K?V zwbrO+eE>I9!rRJ84sU}|BKW7@lt zWB*c1r3b3X2~ywWM5Gj9!Bdm}#)79N7K=-5Ty;hBA}sz-6f8-wV8O)z6^;F21C`r` z<9JbRZ*RfAlUvVSn`Qz+iv0{v}s;@<%w~ zFh!R8)YegahUSnfx;9XzL|DG4O&3?B{JNptlmo8A7j?gGdq&(tL0bR)43spK{0As$ zD7i*5QbWo25D5(>e|X^N-o9b0N?dt7xiqk-6RMcycS7G23+0490SsCM&iu@F-S17!Rkux>MAs_k$k*0XL&x0osaRn z+@9;gA#h8h5FPNsS_Uwr!`*|SC z?}(&7KR-(u&#PI=4=oP84(*4w`k7gkbgv>X1q*J^A%C&Aiqv`Jf2ot5(uaO#sFQmV zQXXBA*6NLU8dA39c6jDYJu5X!^{ht7r&xA)w)QC5L8|&B-L*iJ&X#FkMJ9_Fq}(gB zeYEV2>TBA%!L-Zo+7^muvz0f3K-n8D|BtP9>|bi?Z>WKmN=W_QsCy9>?2Y~#3-(4n z7G77f7*>SE|A~TS2o@}}r**sQ`rFOkXr*rV>%r}A+uxNZ_GK$?v?tqVQ0$EkplnD+ zyCYl8XptTqfK>oe2D4RzdEF0&mqqAu?1(-I>h|o2AbWO1uaaT0Bl?X{up{~{JJ=EZ zJImG8H!*tYSKG@X25)pw=*cw*Ya(xWbD8>^ZMmq4T=F{A1}U#oX^`?dC}nw_ii4Eb zxpmK$BwT}(!-*VJ)Zw%Pg*EG`NYu*VL=RF9=g@uI*@$kGAM5RcJetM6EfI18jK&TQ z{JxBh&Ge@9;6ciUv#2!ALK~#qP5EK2BVr2h(zCSJP(Qt0h%{xmYob_&e2VccMm{-} z*FhVopH6iBAg2NbdUvk0MU$%wrG%?E>EpD9cLJt{FOW?QgavnR#=rRXzI z19=IgelPKA5fMS5*Ca5TkW;Qq9QE*PZaDWz=CC#uG{^*zuoL5j_GzE_O+V_ zL0fVAJn`{hWtATd_Sp%0iOVP(k`=y>Bi*p>4SRpEA+t-^#|mUHnu{9EVLuvn6X+}K zCZb_0dUk+*!fpb>XE(8(%!u7Y+z|X@HxV}^*iB5HqUI|cp^kUkUlxxJQS+6$L)3gF zX_~8TbX_pewKN^#n}gIc>dJ&&P++YgMV-MbAh4W4QzBN*pbnVQ66o-B*Eu61lWxR% z`y!LPfi?F?k*KqTatXbM$cw$rbTMX#GT4zs66Xa77JiL~VRW+)>Zf6CI#M#&kwcWh z4g+7r0mVj5yWU58WDeGdhlh}@)|1;#M5f5v4PxA}y-?tRKH@EKXphI>`*aQK{WY*@ ze5q^r%vS@W`(&PLEuPq>6e3V_A7Ud9^4<^?5fM4TmhqQ$|1w04A4t3Axz-!MkjTsM ziz7d3IG_39a8Lw~vr%N>nXuUCI)q3~9w9R}4M|T9huEdKh9qe$(Z!6mC2o&NOYWtj`Hj)c6%SOD! zLfOa*IbdS_A9>fO8O=l$iU=lD-VeSxx7bAbdWqCQq?HL_GQ z*U&$1<{H(^Vt7zP)&yq!)U(M_S2jPqX;aNUUyiJ5pN(B*zUGD<$T1}DT!_XWtCn-R zz4_Jc^~C|*)ZKq->J3m>O+81{s;PT*Qwz43QL@1bSB~>Lx*6-e6VTK`fBA0$n!1;= zRZ{_io9Y;9HPuP~xT(&etWm3}V8%`Tu)x)yrUz-~B3sC->s*h^0X6N>vQ(0Nrl>en zd4Tdmi{9RvZf_D@9=vtM$wNuoO9e`@jvpRcRL9Lx*lKt(5vqpA4pll%trZg`-(KzN zAMpa+jP-WF4f>jKS%2BKL;d=VrEJw`)Xk0dB1`GFAN}J-_X}<`m~o?@U+c>7&4~~! z$`liIQzs0Shnq#QB;F89kx5e`iT2Y%EN`fq5>4<|KA#(&A?Ln{nFENq^`rmP`XivQ zT0fttRqMxc>#NB__3T3;&QpG@_Z;%ZMP-pLnkv`#4q*H}#w$J@s$Aa{Dj4TQ)oGht ztHn>aO%tK-Q7cV^kop5YQF7%6SkZ0!#c4#yiyvA~-HH!`gaRIXo&n1TIy^ArF%c=R zKInQ2CX`5dRJsEY=Qkqv>8p=;T1u*ldG?uU`JpnJfodmp<_)BE@QVE2C-A)Jk z$NK6pEZFVr-{$JWiu%!&A{!-PvHSZ@ms7s;q`fV^+>EAa2b3{PuKb5m+v8LuLVnfI z-rabOi|}K(@!Wcj>5W!`;Fw+ps@C{M4O1TL&Q7c^z>rnhYgkc3eiIayDn}8uQf2xu zHM>o2Y|nHSQhuy=H&tIpUTAEeCUy){4^ZD>g~$oD!kiJOs92mA74s-@V2^94aYfzd z!x=wD<)l%htkDN8JMnIWrQo}&UENEVjS|5*P`}&h`azRkux9-ty;j1khBro?`&@0Q zMp7?c%7o1%icP;HvILY(_7>=JGuDnj$;j-3St}jJDTvJpQPr0wS_#GZ>6{NrF%KDGF2@a;mP}~oXslf1tY_^d z#1i15ZnXuunbetC;SeyM@+DC{}C_{bo7(kFFk@6zt67nh9{x8)KeiHr(=mT}O zn64kBGcaMDA?3;bvEhc?*UH|BxU<#{6W2tsb-2>nCc4yG18CM-D*~&u2EeSfyIN~^ zsb21vl}1=vt2Dx=wL!L$Eo9vjuD-fo)|VGfxOx~3<;Ab8-uU6#M#IGE^~ zo*hB@$&zi_+mi$ev3?#IQB*%YKw;_US)x|@sXs#Lr&0&|9A_5g$9nNb@>d8&cVCG| zO}9GOrwi{0o+jcnA-=(Z^6^wQ&WqYvF{v-uf5DNqbe|%!#$4Is7GhL)?ix-peuQ#k zV^9}8Io=+?W{ZzayUm`LjgxdMUDEcrvYEK`Kvf+j-qkR9@K>?LUj@(KftWQ?pV%vn z04ZzaeWc_m-zWC0kzeT__oH9^8sU8jY3J3x1oR_(Qu<|kSK%3{`ca9I3*C5Rb>T7` zXY$MTNV)A54BjP1`l?G9NqZ2Mh!P`}Mv9Frs*%T0*wRP>5h{&DjZ_+0{&&}ch`&*O zthXuhsIy?}!8DOJQcc=BjZ|IaMJf~LMTM-1L+`t;3GYZXY43}aMv@nShDMSOU__Jl zshW0@kCwzQmXB1E_U;*Glh{<;d!YOmgP7*)3pMjee&#HE0A%4u5pyMcfMelrL`uTn zNW5A27wI1h{~{#i-xTt+yt7EyC->~D51Nzu&2+(lPxb`PKlo;jL!_UM*>ESwBb;)%yA`Z8qg4j_?1>G;Z zrih0}DHSA-QYxrLW#YW36_bZ*GBeZun@AhQDxgo2hnb0@)+nWcMDQUEbkn4reWa{` zoKb!alr4>W57a<5@l zsDh@l#q|LD|M)Xkv@9HGZzqn7Qk~%7DDDIk?xGW1$g;PJK1hvG8b1#}7hOZ-@@#uG zaS(iIGu7TvMLWUgps+f@d7@Ur-w*f{NAEw#J}BZplppK;PHO<2AVW%wFAtgojUueWtP0C@z{pz z|LD?!GJ3--eS@pIx6^3VcRB%}Qrvj@$BG+2I#6-C?;QSTq)q<%wX2KnK=tM9Z(JS4 zqR~ow`J?spPTK3saU<<*qVuWg3eMWm0UhX>QRqM@e)p8CESgZ{dF(+@St?vh9Fz*@ zL9V32)H^O2ahCF9y=Ra|e#~{(H3hyt1z%j3SJSZt;1ezUkEtAXZD2NukK)RPW93R@_O{N6*#g5l)|^s9TBTF-kqjz@XIgBK>3ayf`LUJ+pq)&((i)%@kQ-wQq>UDj_6jj+KkXb4lODvSiGR7#Cjh$p)5V4=~W4(KkM=Ikd=oUCr?1oe+n0!u4 z{v9eE=LHB>-0pjr%6tm!G*9~k_0v2J>5`a$zF zVnXkcBIUIc(*3_fnn-z?_OVjjJ6dt4kWC@kx?`1v)ETRBE=V!I7Eg~=!(=K_8Yb(E zRq6&6JLw*ps;fn%TKC*6d$t%hmh7s&h#IScv5mvb0l!mdy4}?7U442HUX*Ly6<0#^J+o(pD zYFkgGaVi8*VVnv9M2+*+T7I0eW_}i1FVd_^^lZ(JaYe1U704`WE>A3!HAkRAazOVY z&Ed{hC_mQQi7S_LTN*JcAbM5Wn~4|4spqhG{tIYw?srD%h<-#6=LHTn=pPr^y;%A3 zectag9x%wLk&;nkUmV}#L;e=v9z7*l0v>@{dV#JVWYl1C_Yu5zHcqWQ#*Z`PA4}|g zi8%)Z#z0VHpZy>xn#N@ypSDQ+BLMJ)V8EM9^B8@{j2g7f86G39X&x8+Ja{%P3>PX|pY*30tw*Mq_$%yic5L{jdYJ z{s{OycNzx!2|02S`#=mHMu<T!ou|OSyJSYs@a~+m^n^8S^ z`Ss(A_KVw~u=>RzqE`K4!+6y%>cp7?ocAa{*88j02K5VmY-j;1A$}UqokM=y0LZv& zL`?uqoEIp#Yb0;5_YsvRu%p7p$&{zfvLb$ha`g?6P0tMfaKfjxp4 zkef%!ZXRi^1UMC>+#}*9D6@*1pi~%veDd=-6O^AH6pZowX8U$A2{iO1<5f*N$WP1O zewC&z2&R3jvY8?FPEg*y^@M;&Z-0q?7dVl(->z#a@YlrN{)(>YQgBVbS2Y)kpOhqJ z^3!IxoU|sYnn0aw_P>NGygL(=*&`iT-JB|rve3TKa4z}bu-!w&Z1)?;7?j;Zxor2S zo4tN(s+$eJL9S)^4RV7Ge_kRUC1I^*J?(PHhI{NUiT1fX-wbP=Ysl!KVa?^X+Ga!9 zGRbT%(s9fBGGRmyFvk00Enm$`s8m%9$))qm?wqt|98?6X&qy<3I%mZ|kz;qv3!W+~A! zmpVt_+fgk88LGFVUa4c2FSP~vN+Mh7AG?CBMI`cN9kaDhBI^&>cZ$nQD#|nLt7Z0KqC=F_TopdmI&u z^P*0EMZQZD^L1mHy3Y~sMX#x;3Q|5QdOP3a#}`{3aW?Y|ZTu2$$AAVf- z7}xw3(cXmt8VuqLLU=LMEO= zJ`H2fOjHvQ3smb+L4nc5fl*~}rWa$v<^E^Qe+s1Rn3HkV7af>niK@$o_W5F>1~Wl} zLCRnjYcLCofLR(U7%*Z9A!Rg3(^{L^0x6>zTLjIxe`62EMUCd1MuU{me6G=4FM{UF zP|<)9qe04OkoIV2&KF1-%{xWV9KLLyfipu_4nv3M*W(iP8}>jhPUXE>ttB%j9GP4`s7NwKEHr<(n!`f5~28P$XURAY;v zdNov3V8*DBGOE6l7IrlE2&#iX^;V#a`Q)1_$-~bIhcQRnIs);uyy%Od#^~47>fxk< z#B;i1fS`N`qGngH_nKS63y1e7sj1enNouMEa$Y$6z-1Oz4|~|@BjyR=oGvfy4gHVSt&hx-QUIo-@z;zewMrM-OZCmXWS zYtH5}`8WHMvY?ykk-u~|n?@twnq%~ytQ>u@Z|qNr_TWxa@m7{&*{G`bP%oq|k?xIEF@Tp%V+R*~jq5DUGVyO_$vc~LEix^PLli4V(e zhOB5}yFtm!SS(W}Q<$@lGg2%BH;Ol()eKJi7;wD#DyylU(Mq=IZ>B}p02f`=lT(x?vVOKdfmb$i=hBc{c}h`DvBrHOXG*!vn0-RVZGw<|J96UX|QGgYwpl_^RcL-0*5Qb#rwjPs&yR!6IQcAWV% zaf(t$E>c>xXHQWbX8_odD&EkP|2!z8TTHjik%>)rNuVQe1)Gm&E@eX z8Cs5s!If}lbXBTADFO&t5hsw6B2Ey0R>Up($DQL=5krYj>czwNSOqI43b*Cy_JUdnCqB#|e^P+Cj#hx*y!w|3FP&Vor z9g&hMnom`#XbNsnh5T&^`bl={@KO=OeAKLr*;50Qk%D^tg5(|71RxrWzzlK#i*PJ0fo~nAphg0{wYCdL& z?{H14h}!@{L4&VQF|86>l?ZQ+Z&ReK(W`{;X?#EID^i~;yq{6gf3N&BHSbMUSv2oO z7SG_HQdu-}Mi$S%Q3FqUKP0&+8@s8s&JpO3C!5v8hg$W2pIWpVrcd*${wA?ds(&B2 zDQ35NirLFK1ZALkY{guI*F6w`o+Jk1JY`IOrRz-?Vk%mtX27pe$v7_n@C^9iG;_AG zlE|>1?X57USUycn5s+ffM|)!r-{Y^4?!+yM)$Ij~z}fErx_;2?7d&VTHkM2CO*9dg z-^{?|2`P`kOMsB3a&nrQ^?owb{K)t=0Lv|n1u4&ZZ8Bx6sb1N@YuOy-J&PiTi`Pz^ z9wH>LVo0|Xq+8PppPyqU83Or?>B}ORUN0A(i@gP?x1M->x)Kdi7EL=poYsCgym7ii zsCdAOrzuEznu2uyCbOsUxE!?2OcC{``$WVi7w5w$sdK&t?ND@c0-8@DLdj6n3-$S^ zTWOf57$p~&1@zW2wP2GUCWlG3hYE8&zRgV0L8NmQn#=Ig8pB&NUBStRL^K@k%&44vt%^fneP$^?#y@binLjh{3x~*JS|TyG6!g}bt5Yf} z%FK}Wmzs?!h4!nfut+#c>2CTk{Vfs}F=lWFrSnNHEHk%=Fn|dTgM_cYYuKLh^iHZN-a^$mKTqkX)?J^csnr$ zw`uY=T!|uJmHr(FtYK<45i4Icl4Vp)c3y3sb3QZ^`LW*LWsk#VvRtt`Je3an;5NC$ zZ!_3y3C~P5QsFQNGUnN+iO#h9_gYB2_Dr?(Oq{9uBhqWxn0suj=W)w&>&JVpK#%n+$^Stf3#_<1BIWLg^ocjkO9CmohiWrbf2=%Hxh!%IVvNQ!LgPV7 z{z1&sC}z)8zN#bIL`T}?g^C7@7!6WJgOr?uK+0%_`q8j=NSLX*qYD72J4OQ#z2x|z z7UugtVX|k~xW$|#WB+a@^8319`%$uQxEm_UFJ~&>fV9{)vyVW^=sweE-uI(n=KvM6 za~K(5Tr<>2-w~{6r0+;|vvWw9W%ZPlS;0LeatC6~a232=mJO&vYIrGm`Kj<%Max-g z%x^v``1bSB&B0H1?oPAR%nMs*u|qsHJW-%H+jZKkqGND2$Sk|=L@bnDH^okH-wyG^ zY2h;>#?j4K?-<;m-NR4&%Z{Ao-#y%vveirgD0ug9938%kLI<~$7`h)9}bYZTWF4?gQQl@wY8AlM>`wI zOxEpZf*w8GAmNoPxi70%LU2Kk8_Y{Kawca}vwCO(`c zSAH3l8jV6$8~+KWn_@~5^X>=CO5!u6o+3rsWycJnB6n{_#fn0$itVfleIyiaUg#M0 zj32XgEYmL5Lp2#!t7J1#Y_`lj5mgS;osu;~$=PyF)0m3%RPGu@@4j><86KH%6aP~` zaK?&+*?dY=6n5BakAOqJ?U=y4v{ErN6mqvA6gI{T@S}hp=x~`8uIuMu)ecp zL;N;NG~;>f#EsnUJItRPT~RRgBn zOL~I*`$(-C+}wJ?++^TD$s1<5g|8S)0j%Yq*ESbBQrQ^)ZD zb^KkcV-LxJ9W)rbS#m$jB z-!cD7_7OI$F!W6w1UVelOJ(=`a;!g)MR>+rR`N$J7<3MSHD z0_&|YN4|B@>?TiqZ$4&gi0r)W&zFKQ~xk4 zMyo1WfmwfQdsZMc_MjyXBTKdY2>s)>9|>-IxA)E7)b=O;Y3`PzJ}^faAFH;1IHwSK zl?>xMrDS@zaeEF=nWXzyv%>t(%F*@Rbay>D_E)p~!iSAVjN9_scV@M`J7pZ=E7o$Y zgb)3&ZqnZ(>b&DRcc}%lm;4)Y#Gzgi12c(La{Vb90q{LEj+%0%q)A#(nJXA<}ut94FG} zs7j!^3 zc~B(*rqX$?uba%gf^MRKuqe7hI>FQNu7QA+K(>+?*x_!Ye=Lw~N+7;|vgK+(KY8>T z0&QosBu>nwj`D5k6Mn`Y(qBsw_dhlB#OHH4sOuNRjnD+~X|Nz3R7Zdy4*LbM^9K5i z!oh+#`X@mg4aBPi;hAR%B8L94AY$gJiI#F0n<0?G)X&Yv1{~lZms`K^k~mKybFUot zrP47K|U`-z-9Ym(Y50NOMy^drG=%$oS-#NZIHI zb8kc!h2fR?%42;i|*MBjK$;W<1Aa)i+f`<}O)2RBQWpc!7EwKWmw2xp1Bu8J~!L`pE#bE&4 zQM|2DAdfuku9}xz*(sKB<7*}O*?N~!4MptnwfR1K{Pj1pO0+7&rZpLYAbad^&zu(V zCDF!uKi9&U#H_g3_4#ap_3xW&B7Rh*{u5k^Oz`@AWrCBbgfhXUXaSjEWS%9=DEi03 zjLHiVCaPm$+Ww#|JF^Q1{$W047*%Cj6|0L^%#+A0lp73pqLK3VC!sS#??6?q1?tOti6HN%iR$b;~n5E}Eam@{J95 zFLka{CD;79B*{1*OsSh!pi)Z4_0SfQ@mt7J278eHv5XHY8As@DUOtaL6jeYy{Hoi% zPTq97H{*GsU&Q~&^WBJ&bBnp-MX~vEM=^JMbaJ1lZ);J1l^4{pKhKjZBHb+n-iPM? zAC=DF+XUieo!3&Bh)#+ z#+ny*SB_RVSPd8Q)KE?DR~Nos+8uvo_LXzUl5pD&f6X72NJo;x&knPDUD^PwKc^dOV>}+MY*$EwO#+ zaZeEi0b--6uXsH)u`LT0+k@%|5ZkDHpP|o(qm5QLSQ29(oZuPGm_WQr9_L63Ji~d9 z{;@pXQ}Up;^MTa8Y3iq%iKQTnx|~cE(Pc}0?4!NpqrIeQY3cc!cv^NS?QZQ`htA0i zpDKRHR}q8z5T+F|Fn*BNQrtDe?&k9*&U}s#7;d?;p*t-anO61Y0z6~Fan$9@x@%%z zByLxbcUFrkMapb%8BDQYi} zqszH_(f$LAL0`=PZ%SDVki`t9_!%I}V!#h`g3zf&I=WB1omtdc>A*QS_`*6skPKX6@^90ySwYqy?P=E z*%W$BSqPi~Z+Zve4qPY`J#Aw}O2N*sQVR{4G%~yuWpF&vvrxreU3iR6o1}gn89o|E z{`ryg)<}>t66~}mB%>B`_!Vcu4{GDCU2}Y>fQStNLdwxsq#G06{pp(V^a#eYaBTPx zV|M_Y?HUeJeq8j9f^#Yu&by()0UL&cl;I%VT+2O7AZ0jP{BSrJ9KBElgYUs`DH!|< z%<+J`hEXUlrn=RRklR5$kYk8VA$5)+;*WM9<)r06%1N~{fD;&0tz=VKxC24I6V*z( zWW8i}9JzyeFGRFhSl``RF5T&@AZkh#Osp?eh^mns)D{cG)XeBo0(l%utSb?l+2vfN zTtj;*5tm1&)#HZc9@>Eq;)h|_W+>zLII9}nxtL6SEv9-@P%(}nqFN4A)dgJYcu63) z0#y;Ouo8Hr0r>8F5;0hI`}?+HegF5cb2Gz z`?NTzv`9@CD=d5pPrE-Qa@Oh&+|gQ{yoj}0rkOi0;s9mGdiSAH+6i;egG0?GqdD}B z{(B(BCK%^gDgznHl_Ste?sc=x6E{(WUj6!Pk@BNR`4#=&kx$RCenUPv(uWoUPkrn`*Z3Z zZxDQDv3iWBm`j7~F-1mwLPT!Abwgsa?N3Lji$ zk0_%SPOb=I%NhZD9@?nTrV2RL6&Wmnv3?1#@4f`qyD$m!Lj+ISeUuTSqSM6x~Yf#7(mO zZMaFczZ>1%|JeKfx=F*oYjPbJ_W2{ABXDie@xHG%UiVX?z9vpVO6`1F6XTkR+i7B4`_PVG9NtrSHDMo3I6@QR znh7UsLR|X@8!rt{7b`U3(q(exhT^sH76QkhaLIHBG##!jv^)+5D++zM6V&b&t(K}` zupAmoQ=ZaG{Zk&gIXBxqU6g_5X_`Y{(h;{&FRe9xS;lJ(@f#|lVelsapc#&Rxmsu3 zTn01cuGR{wjsGPKpXnOxo<7i9F+n-%7dz6VOD-)Kxlk+C* zt6<;*YD?W}`&akn>=+W$K_2KBg3ty!hG%7u*WG1^C;NqGmm4x+eR!7ftV~z|ztDWS z8iJZGS8I!#quq0$62`Fzb-_cy850uOXo5R|-cYolY+0^`#SzPSSWMg*DkL}yf&}&q zX%Qf$Z48%G4?$W`1X8C>*qC%vLHbNX`YZs_?|w+X6@m27>mf?%GX)9k36enCITteo zR6~e9^&@KcDxx)yN^^}haj5&ca^pyO?bTA<;~~1m>wyxgofs+_;zbKEqznh?{)z5< zy5>={&g;QSJ3q<20xur>L5$Ql_gpPlMn zB9Jn&F-4Hg+7mv)xDbHsU5yMWi|exhP@fh7^+l+lh#AQXDa#A#=owf5AZ1i%ilCal zFZ_fN2lrzw<;$#4N<_-Dzq&Gale?aQg~%2+e?>#vc+Gk%LNq9FqVGbYn-M30OFGh) zdoy-l6Z4LLV&3I{WsU|A$s%ptjo+&@(@`G2UQ$2|8Va0NxHNHI1m z?i>EZee3_gofSq>qW*@oLY{jUrKB*U6tPYea7sKYOk1v2^vQ6HG%c)!{)m|ixztbc z-5V+8nC7=f!?W=P7jrkv+(qwDI|}%`$mZ4zp{|VI;I_%lM-i&}ZJ~QSwl<^i6QX

    qI|-M@O1hP6Xidu@K6_w*S*-DcfIqd=9WF8p)M%2c2`FGS zj(Eg*fsBWgac9C8K!41T*EoxC1O8lg+UIu3#>4UX6f6NqR_qeC;4V!$cY;gc$dW$WCV`ZD-XFR> z|FAubCs4f8`DB59yKiNPz`%>G3n^O{(jNEl8tD0z?v_*$BfIWL#x^zws-_Lb<4_nj zhIfhX9DoTz&M9=5i;ZNfCdQC2PmE6@rHS!L5)e;}+Yv&Z7`I!gX11_Q-g^?c8t%w4 z)8(t(LxgvwTD88NsfmNR7!xFy`e0zs~?cO{+>G_FaCa%sPcxg#qOaZ12;y7 zl#wAFwhh5cq-=&w-cTI`sK^YlwFXEN#pRXC3jeKu^Y<}M12~ytFOsSYok)Vt zmRN;Qsofp)k1cWA8^M-%d562J&k{ep8vY7Cy2CPHhk4=+L*7jZ3vihC3h@v${L}DJ z##Ji!gt+vET3mnhhFV;M#Deo78f*E)x!3X8#}lZWeBxoqmOjwqH@EOreslYfI4E;F z3gOdC{o6h6SDY~@1ABAJ+z(+H@QEG#y#%maqQolY1aVvpmmnutnTX=NfWljSFYR@Y z#cK?FpPk_2tCX6N@&p8rV~LhsU~AkX7uW$j0$pHnx_*!gBqlWRKuX#Tdwi842Ynfy zMH#H#`m5BkyRzJV$z4&pdg1$?39HoT1@x@Xqd@{>*V1Q|QfMElm=(H+{;@(AtqNAC zIOy)l3jNVlQF|(Vufx7qIoBZ`4rk%w)#4p4iQ1CpAg3ZkIxTTrF4nXmM#yW zX_hV@KkTj}HltqB<$4GySeLg!Wx0++#6jtD!zyfIDOp{k=nGf9b9!laIM48kOmGJrTc}wTMS%gKlDJLa`Hi zwE?#l2)x!=Xj+iEjsMV@lM$n}` z*b~56jT@+is#`*Ktj5;Zpg|)XO z%SS&;)8p9#$4;u9b~g;eo>>|Hj(d^({eDEOSOy`{mgcpq)l-NqBs(4YMjmgJU4_&Z zJxSg_h9?>a|A=UYZ(;VhjnRg-%&tOhx=BaDi*_=DXScKNsjIV~xR2Aw<|3 zUZ3O99P5=gFGsIYq3XLN4(^y#FFl25Tr7GFHKwHaakW~fS6G8aD2x1lH3zL~hHV0_tBA=!m!8qVMQf2mc?&@LQiEG#-@PWH|P7eaD zt=ITXB5WdRO@6vq3wfuQ<4MsL4fF+S%B@v_nrds+L*W{7UYJKej;gX&1#2EztAaJ9 z*II@^3@KQX7yor*#T0xvVABj`w2I5DWkdM+lDnI;HD$+opCj&gCe^%HQzi>5vlh?i zXzz5ZPu#slnYHSLiVH&>^_Dfxyme^eTGj-% zn{yUDutydtLuNWWE?E%fDbCvfk;|f;fRy6b0|=sWE#udcTV~PLkjbW_4pqrLt?ydp zmmvVX?l=oF%P)`jH{QFpu-$d{urTMpRLeiqEx+otM`!wry$`hXNE|!M!#wpOzN9;G z-psW;u9h9!C#!$&^ugT*_85>JUwuf<;P~pj)BE%o+CN7omvxj4uTdkuR;_s1y^N!2 z-gg~i=fehxAZzRA>fJ6KTx;o=F~Ve$=YKM z23Tc#WTV{Za-z28f=pU#I}-u`l`HP(lAlp(W?){dyimpw;oy(VH`cTb*Qqr};yRw^ zC8dRq1nvr7wG%HXPF3y!^U$8C(x{O?DL*%VLBodvHeqt5gdVeo7%HmNtG-(gqNXgl zD5e~nUp>RFbHejss-WY^#V>2slI2U72`!61L&LEwe)N4GKd1|=X%|n1w?=Nh;?&@o zKJf#y;QBGvRqIgf4*N+e8%p)b_%_C(Z$(u*Y0{X|!wP2lcuIP};0+n+`w~P!MmeWtB zEO6u1pikU&VsMq85#Bl{zXzH9OQU*Cd zC4c@C%8)dgae?&CcTt^2smnA$=(4ae7^_^Ki5LdMp)X2{?O^ZRmnDyYqXI zr1gF;a+-LlQF15rYrO$xY{R}fN7?bcvikQ=@0F98H84J_PdsE7-zT$w`jFbip3g{+ zSK>?W9pAf0P7gAiN&~V`dMFCi8J5+5=z#R3_~9ApgVW=4P+H~04;`49LuE4uWcSbP zh5vm9XAR&2&{IZyZ>VeF5Y$(@SnI5u`1oE!2MC@=$3HPE;kQyu&Z``cQJ!l2!9ua~#n-gA~hKGuwbrb)UBMkGoIX^+DYS%y@3n z=^HE?&^darZ;lo~sO@3U(5h*XkITnctC_@H1X1!WCj94#M zM0t9NMLItpDNi^mawaO)KtXHqy z-dnFi7QYZloOk&8!n;4YhZ%BU6;CcjZKbQKrw2aHTdww-5NyEMbR7iN*dz~D_4F(} zP{VP=kT*$l#SsS7MCiQ8z~Yu>K%Gux!-QdZyv&D5oVmjvE)LP*UFE&USp!-N#BC zd{d1};KhdleH*~*>tJ4U>pK31v)As{^E^sz=F@<(2RUM61H~KE(1$kgu^PtxfC|6% zSICD0)Fg)bqrKHPXz)1Hx0*va{~>bD6EUUbA%~~j!pA&S;-YkRv%!P223rH5l__(J z+hdHUnI*qBoVr2H6@ZuD8*YXg{>n0fpf}v0-Wx{R&*2#?kn(umV1pXZt8Y-N%pXY= zdX)(~C*g1)iaOa=2L9H^;(K!x@LwD_RY=q|(U)SIA zxMQ7x=Ogtnwa#8@t8Q$dkALV9jQdHsCt%OJxdcyRw*w{x4K{D!zHgjU#K|j*mj^L* zf4p2q{CG?186cn&0&l7;+LDSa9-+XXTXD|-AvP+f^1GrIu8qoh;F?a<6XiFmkqy@t zT}>D09@BJ>ASI{MOw-|-={jgSTw8R$;{Zi}O`M^LM`>bQGx1bSjBAUShtnlwM@j*k zHuzjs4cR)zQ%fvCV=26f-K32?4Fd+ztsDLBY7=o#?n-Xp^-ke?Pdi2$5eHES?&`os z<*xA6lgVN);LsV`7d9&YbdJizc~LcmRAV|1$xiQ;nLb2K!N*`g?3E*vnmZ zS-;q*{0mZ^Yd^F}&9(0%pJH8NQ?S(*q5{jG1z9Z^@K+kkXa>0EuQbwQVUegat8G$! zqU0v!x03z`?(Da~mHpNi8x8r*vyL|jKX;BBsE#&oT|`l0?#VlM)G1a=Bu-2A@*|{K!zjgOP6; zBJ*2&%Byf9vPnYaqx3?AVfoyOm6>P8dPISSusj$-(i@>e(Cd%AniDE#ff6<>GD>#^ zCuO(RBBNtVh)~vf&XHR9RvSkomd#Zh#q1rMBexK_%?(~`fS%?53K|n2e=`!rdSwml zg(=qH9yH~X$;mN^^6CqY_hrWlW{mv0g9Cf}P&%cfTa zSCX_o^h&fe-}YC)(xlo+n!Uj(*g$8tAZeCoF$9V5ir156FZRd(SUjo`xA)Lsa0;TX-54_VX4)UhU(UA&|jB z{6V9+;YY*gw_q&hIT&6H444A&91P9nIao>ZUpxm(BN#jfOWPVe2YcZOkALNL{Rz)2 z#>+Cd7p7l`AXdkLRs20YYw^`K`b99(6OIg=YovpJ_2s(*91-$TLr)p;A}XLKGwrq( zT_ueNt+h(ZAUtIp;|c$21+TExP;XKzB*geWdBW(sZ~k=nA@@H65-kI&4(-$O$E* z`U!KVl20^Jl23)5N~=Qd9HR9{auqn11}ik^v8-&WLhf4|f3x*HQ8<+>BMDc9}D@T`k4b|F93 z`^QdNFlJF`OMkfb9)QuRF=m$<=1nRX=LHDfh||~WnJwzkfXuyZjAZ0Wofo8(%j^P3sjAmF7G^wU@k$6X= zIjPYgr5A6+6^-VS9}S;qcP&&nV8n2c5*&dv_lD;%rHtlS5i}3yc!r76yOoMOyOoNN zvTTx&Pb#Xh+b0`FQ+s!assbZMgOt%AO&aEzfCIvMY)1!nA=*O|X|1R-{f1}u#>1lE zHFo{vQ1*d3H*qwTcEB zYh@jj=L@RyW12TK`HEmLNvlH#qi5v%{Xkff0CcgYrGGy7&Bpb-?+V2S5ejCx+St0hXxKPpC57GD4d&4RCMu_I-%-_!Vh z32tf4-$QLF82QAG%{pm?G(qhc^DspMA^GGWDeGs2L3zQFucA2cHmizzg3LCl+MW>2 z_WEumeL9aL01qpG@X|68Wr}K`jl5RT*(Oi}Du*?2U1{KIum%cmRdUua46mw(H;(n$ zqdFl{-Z+L&FA)ZA(U{;C)yxgGMZ}DJCQ|lNefAiIzi)F?6_mq{q1T?Ez9_pTMfJq1 z%v?9)+Np6NCCwY}2H-kV1lN0^;sP_qg_IoxQf#5^Dv&a&ZADO}-uHA7wnAl#4;3m& zAtg!4U*EQ(2c-&wG+#5eFhtE0E0PmZmeWIp@aB6Rttf*5-S-2+w-(+K?KGBF8Vgd6 zmGnVAxz1iikYt341dJF7Qby7WNS;b@?i5r5Ey15H3|82|w;a2~>l)4y4F{=tCZ?^} zso`uZ0%v!qaKMP+5JQ-M*b=}wRnPgcKnBB+emH~XK`^&8k}ot8r0g&r+N%U}zX%es zH$)YI5hFp$NWK7)&W}4!31l#m8-64lp856|!qkuNl}Ap;)HC)flc~2?p=qVjJi9m8 zVA_O=28lJJs>&quH%S61|vD^LsDp%F>!{duuslwTC$#jgm&%3?o(Z<-adsSWnZw49^DtB z#eh*-Mu{@u%RplH8HFn@IBFSGgOQ03Q0@y zB{%}<`SqUXC}lJ|{Af7RS8a07v>ZZSYJrM3wz2 z(pM2FMf%MBK4OmaJ*|mTeZ>6XgO2-EkPmZm4)W2b*kk{4UGO}ZP?V;ft|Zl82?zPc z>q^G>D&c5SzpWlAB$n!=?fm^d8{;6~Vw4SOQ8IVGde(~c(l*aTft1BJOM@BX2g5NV zteiMzlo+&hy2nWcvXXMluelFj9ifk3&i;=Q_AgVI*Ah z%DK@2wQ|NauR=k`VWbx|U3*Q}Thrm1=>}^$Tw8SfSayb{o1*C!YdT!>s&}2H!?i`n zk7W;Qy0EBs8;;o73(kkap(?pIA0bx;Wg*DTPo2bExOZP8Ic zX~F6k6;G;jPzfeY)8U%yYoqCKZP9T&DFfvxj@et&4bybE=6KRXO^0iXj^jzoHQi!O zw^7sKn&V0PG##!jI*up(UDLg%>8@%zTys3>wx+|iMdu3%84h{G9i#TwhP}=0G)k&0 ziqIg7L}XM_Sro8C7I9&9Qf$a*=;!db=J2ea1G1PyM?VK-SvY(_BJ2Vt9MY8;S>DiG z#{0Pp&|GkiIH4sR$g;R_u;@0qKNY2Z=zuR+lp+tjySKVl9&HnGMr0tP|CPVx78aS5x0pV&Wi?fU~2!z zp3yi!dwVI|PnCFC%Xvu6Igs+AD}nCS!>8T0SBTN?cvLzRJQTbImJf_i5f7{(45wUK zHl|vb^AJvQh{B8z`7|ULc4Df(M=0>l3B4qCHrlxmk7xXVUeth)@@gwf0qW0y=v#!3 z9#T6W289X>oEX-N3`^h=fuUGA=9;IuT>hn}m@NN>qZnO2OZOOQhX){~@RhMH0O=}? z6e*t_^Oi!o?@vhI4izalG165EDK0sLg_KbhJOI^!80T?(!`&~xI~o;Io+m|MgBeX{ z!w;(g-V$Hr;SjY7MhxnX(&`;(HNLd-rl1N)tKU2T)%1s*b440zrm01v!^*^vGNKnX zq7Fq6bqo~|7!e|3%riH-zU6rpL5uAbV^YKuht;fBn^>8~|1G#yO$FCxYpl~XR;0XW zTcxoU6v4VCRIFg+i}HvAnj13zUxI7zYVtF|V3OVo9gGgH-S7ipNfJtm?Mw%!BGI*q z6kV$r7~4@f9NU?$Bt9ir;$_qRYjmx;Ke}d^@<@{9ilUDwJ3-1lzpA`gH>RGbbR@`d z6RRHy(Qxr>t!_**zH!cM!1ezntkyNXbwe?wUO&^T7G~y=W1~xWzYVm0{7}(=5u-uMXodp~hta48^4mGV zXm~W{P}*q?>9~f3lmjD|6(r-|!ScBhDkAXN{;I2taa1O}i4Up+5697v&3Ir0fzshv zTFGNdSLQLLE2Qj}6Om7YTD48jx%WjMn%oSY(XMurLpj2I45hSL>rIGBbEhVx1g934#Cs^M(J&23R-@nR{XIj+$h zDT3x?sA#~C(I90s8-a#HX~wRc+0PCJc^0O8UQnF&WcjLtvb*@tJwq&)wh^#h;iVD0^ zV$sDED1l23X;BpKVXZwVsAbewx9B4tzxAt)OKp2gV>R z4valY3keR4?I9!_7~69qI55_-a!hC6y9fWM9Mc!O!JxLL;_QjS+$u3ngTKM97WBra zghzd6=93fBzt;Yp#lU-Iem$XL8&M~9Oa$fVoq@6^bxZ`!z-nKBo>$ptNdan=efflM zm0d$VS0kpTahAk@-54iN@G85a|0TGzlm1oqWn!UL*{7wM9#g%rd?)8vBcct;V42(M zq}sl}ZA3Bsw$c46F;VK%z|Wpk`!af-R6*HpL=xu(5?=nc?d#AZ6Z1hIsPSj$n%{>n@}lfWxji$ci~uio2P01!vQt;*3zR`!4_`t8 zQ$6+%L4~yTwC2K|Gh@27)$DLWZxo}5g{b!1=cWD-u}A3K=@d1O4!roc;1e3VApHBf}= z<2W(Fcf5be+C;#lb$q0C6e$jA$UPL*RDN^987=od1x+Jo-uq!K=#YxW(sj-mB`2JA z+T=Iq@$I~)POF18THtGLbecn3_yOy5QlkYNQA|}?FxzPlYjzrED$p0OgSZq|2Rx*o zRtG$wkOj9l7~_-;+f&GrSGRg9iXmW4r#u7~;-fZzf{)s0c3Q;-8-v(7YJ(s)emZ8c zXmVP`0psWcfs1hLi|+%0t4{L=0>v5}+C=AHt^^x8|8grDMJIgck&M`vfERxla8a|E zIXI*d&8xs4`ink7$dxBtaGFn4$ogAMzle7zJJx#|Rnw;+(*jGWH^7@vmeLTK>^tGR zfel`36 zHLU1hn<@|Y#Or=@irGxo0FIeMd3ESIidcwBo>8Z4Oii{m$9XeUL>^AESC0xRf=@C` z#xZfsfHtf?dPY61se6VG`Zn78Z?#sp!s?ze2(9Wc)N$oia7F>AaHOHe3gjVub! zs#u^2S0w6ujygWfDJVleiOT61dr*ZOohEJLm<6g5&9G%G{W8 za(WYYJ8}FBp9u~(Pj#vz-;bg)GKdRjltJt|V;KZE;au=$a%*SX1SQi8X>O<3cSaqw z@hJ*wv)FTn&0=8}TdYidK4y&b7Tt^W-lTexDB zppFV6`aaL8?%aEUas1xz{&>2(y3VOn=bWljRo%Dx+#dt4S?@pv+-Tw#rn&3F7nv>5 zfhi;~%6{Q>cbdSccACJ5qwE)c1JW57Tj-S6yhY(QJ0WYxzjQ-omq_mYUlvSc_>Lok zfrX>&8IGgGf?8zi2FBQ(vTwLG))i!wD+rDfp=Y{+%n(7?XZPA^g5vDoD-KwRI5X^vc*4wU7n_QuAlxgu7u22YE&`zjOS-)2(uo9ujk^ytm zPT%t0kqa$ci%f5X%OvqKifPTQi*Q^H-Os}@xsmrfXacg4cXD>1uI`e8=GgGo$ZEP} zN}vlJLH>=tGzDYCq%7(9A{u4+bk>8W?asHlA(fA&ZpkvO?WQcVLke4gn|!r)GiXD- zbONuX%cY1A%=1!k5ewib7FZ6YaCdLAm!O&feeePPJQPQLr)QZx#vrW()P|JObhwaI z0_vwY@-GmdvQUYNKk!WY+#jH^Cu0J%h(y$H!@53_NA!Yc%H~u!ap@znJ^F}jLyrzx zHmA}P0^QkL$K?4}n7yfLWlIS4)z@?1#&ErHb})kKX`2HL<%{GIb+dgsHqZZ>379u$ zn}CT_uQHv$h9AhNg^ZK;_>-)@V8nPCo=4&(ij;U+7sByRx^cS42Z3G|lDj_?SZT#) zheXN=*&&hgk!%wwXJng5nFa>z7@x>C9phNmTg(Pth?JWxkjs`s%P6Vwsqxw92?Kh@ zw7?YmRVL$8dMJ?rQibL+0WzLR#$KpmMSzUof^=i7w|OSUdfO=5i;&wJn zebWQ)TH9Q8=NNV8hp5}i$u`?h?Su}8PY=AJ55`3Iuui$kMye;tNuz8s8!-co`@E~` z@GPQhWD#BObajpCICO1q12buFx<|We>3YcHn3H_w>OG~%Ki*1&fE=Ne7x@Q8G|lnp zPR0H{zUI2-Ctg%)l4F$LAxD%SS0~3)KAAh&*tuUP7yH}jStb6}K5X)vh0(Tbqj4*8 zy2hxNBVj4^h<~_$2$L~wV;OB?oE@yMF_zK;zXj#NI#F+&a31D(RU_MO&2D2Op+-!2nFaO5KZ>kQHvK29N>;o~f&3K`^t zNf{bG$bd`#I7;}~w+o*!Pq6zkLBdDgF0&fA3zBl`fA5;W2CGS~5#zdCBL~~ zrx=~^KR*87*vd77oUXaQQyef7ad4zK7LM!I2Ili9(lo%55FZ|S(wu2vzivJ3N;5gv z%qu77`t<3BcD{uKp_&k+lGVd3xEDj>`>-iPVkYXyO{3GG`KB>-GLKzn5A@laAT&($ z_gv|UW8N`_tcIjCC`tBzOMN*on^ZD3iCqzR(aM7?2r>~lxxUPyP3-PIs~jmDmmJGA z^xlJ2)&UAqUeR z?SznY-NaRam3DpPft2-j8{Zn<+}2j@-DY{I^={)_Etx0LDakee&lIcn-fgVfeYdeH zj$+ljkxr}r3F&mMdqErOT=Be?Am=tHZ)^evVoe;ynmCFzaTL3B-E9^=TIw}Ny@iiv zDCFU&0oGDi&?Oau_V`QSZEK?|eo z?8>qvD2uO|Ilq0R&rb!)aA{|V+2C*d3<_kB;nF0^Af5i#Jd;lU>)mF!11FK;(j#FV zwG5XmxT_48aN^Qmtf0T>(j!2$eLXOXfnw9^fh|_GJhRRa$TP8`zFu;caWE^QwuLm= zG_qzMzA*TDK)=u;D+aVZNP`4q-w}Jw9MbwmuwhG#0bwP(HrGT^sbp_ zMoQK7H|GMK^=iB>Lz!a!9(dV`$urIk4M;ck+sHGq-$rBz3EJQ$LHmzeD%KcU=qYzZF0;0~ zhCpv!VF;v&A-1CKSY+5_mKKgm4lx97c#@PtY23gwY8aLl&KV|Rgz!9ETd=C^VV81? zZ;$Cwe#w({1%1oE-M9McnHv$mpj@shST_m5%~m@c8DD!N1K$tDwZzvu_LwDcT+3nt zILcx|c-h|EslD~B>jhhpkK<*$ZRmM{{VnQbf@;Iokx%Fv{|q#+K0@XAv9Txjm@%Au zY;5r!^RclPP$(no^ALv4@X8+J40HB)&Vb^)MTJ$m=TDe)%c$+|$l$ueyglL$SWM7% zCX?|cxjm-)8#5wul{F6)=hSTH9@G7O#yp7*lpb6}C_^5`*3vzu`@>Nd5q?5CyT2ci z&hGDL$`uk@L*dkMnh}&qg7-oAE`#@H za2p2iPoYJwAI#emTtApjgG*3OdNA@n-**(Vcf{GfzD%qa#Q3ag`y?j&s_2KJl-YC6 zl2fzi95Q;%(zh>U$zVe+mJH7BHL>{=bivq6e>btY&Awo4_Tk+1&C@U;V{_4@$PIQk zrYAUE_HoHz6I(}Zy*fMK*XIUAR^;O`;2ek z7+gSj95>;mzDG?xWRL4vpbz!bPP~>t?KV=+Q^84WfTP&pfqm{G0upEh-~Hs;+&5US zsfNP4xTt)S0!={bYqM|gK1z^4?w>D0nx`)R9upIM4OC+bTyYry5K ziJ4DD97An4J5~DX+hbK1efCh`HoWk8Z9tjjU)=TT6Pa)N=oJNcA{ZxG%+xA8k9?B% zhQh!M3?PIJr$yK2OV_L44Jh*uaU{sZs*lOTwOk}g_j_%A$P>*GK_2%Q9=-`Ci7UcL zl6R0F3vxk{$3;5vaN(pA$5(k;df9ocI2Ptn<>(|e9!GvzB@(2XL*xDSc97c`2EP~ zwwm?%?9nsJj|Lj}tfG89_f=I_S07+6!c$-r)l6fz@5=i2Zg%CEa!@hitU|*=PH?(j z-`==Z_mBeCLvw6c)_&9f|H^_A9T-&l|Cxhq$4cC9npfTZrg`BgbE|epXaCFobI z>_>G%`v0)%h0d+WfO9JxrT@oqMS0*)yq2CVe!uB$1dCg35>Uj!JD(60`SHMY^6o@(5ub_qI9#ffw9*2xX-!J zH(YqZGkwXxF>lWVka(UyAEopyVxV83zCd}xFnE}Y2ia1#y$JKWP`VaA3B zpiesL?7QsFb~EIGUnF7t%!&3Zel^DkH2ZG5iq-glnHF_9VEp1{=1z1Vggo;c{9Rz6 zHS~b-i$Qqohjm;1Kr1@>4Zil)7~G*}jKUpy#yC)idPXB&OMgq5;i6uD3szza9K{xc z4&eVI_t`CcgY@Q`RNah`W9nG_4;b~|d_b?+T&ub7fIL>V*0_?sS|RD&!Ldnt^$&r2 zt+zmO3YL7+C4IGmRQ|HH+a=AZAeBmXJ0G~kDuW`bM%`#Vet@sHbW8Y;qL+eq!y5H0 z9DVzv8|(fT0s-q{7

    vPV>{-(>O4g+LRl*cCIULQFpC#d9_4VEGpj3DF0_{6b<0 z1e93vICU$rjU(n>f@XVxGrP!c2QT-*380YSF5G4qsf`bIKWKa~`h|_Y-tB&>m+O8LF0eVGA9{{|1En%rCP5ZG)7&4BgZ|@9yHDIDU^UM zldONbr0-Rb${+Fa4$`0<^vH2FdnQc7y{kH64v6^&yqzxd_kzsjsXOFjbdT;%=4Q$S z*~AbfIP$4`33-blDj)I;QCXJ`Qi`g7C{n#CCg3MXW=*h1;SU;XdZ7W;;77RX9SZFy zHchk#M-x2J0CVr?uEdGp;>3$aK2S5VE{5+)hw?aGGrK=9#pR!xe_{8c1bb9IfsTZ6&d~WV&5N z&yG>OeBV=K*I3`cSYDfXE*e)}!4U-&Eu}MQt7@l)s*6AKh>1>LVWN5kK@&yb+%?hH zu8C$nYWMOtWjemWp?eHL`Lgv`bVNk5K2lQ+u^JT^Lv?oV;^RL4P9#WlBCs!@O42{o zQhj{`&24$>uU~;NSEmA_${P!exv-6c6hIbZ!&n@C-0tARP7b`i$x{9Fkiy8C3D+Ud zRZaGIfic;mZb4&%1xZVS%+iv+4%3?$Y+-@v(iW1p7;FpA#9&(r!n?GBc=bSqvBuR_ z!?>x#5R7Ecy=Gl+eO{pX#V`(hy6VNV?dr?t*gc~^XT6M%6u72BbiIeUrBmBhaCsy8 z1{7W+Dj>CKMB7mZ2G$1kR9pYAOiyqwxeDZGdw!j3FSLF_5${EJ)opHyyWXl*DE*p0 zwot4CyU{wu3FB6D~%4~1f3O`=CvJ@aXMuC)@kII?*O#dBn{48`;N9LVYwx3n;%JBxkRZfnge z6a(nnQ&pG77>=W^^6YsVh&=T#B?F`W^g`XXks4v=F)6{x#ie{%IuUOZip3#`yCq*X z%AyfkEU-IT$BYr|Qqtj-!a{avO8;YlUC;V=q3(LUO0@rNc>VyMeC}9eO69-!zI7E^ ziW-$fHw(R0T*xiwTUjVgbem2pqgzxK3u_(YuQ`lLiBC7+nfP=A^g^8SLD4ehD-D}r z(IgRlF@TgQA5L8QmKF3ZU3$#&9!gSkIon$@%*OjzZPl&%lW+Zgy<&^Mfz|o2St9Lo z*v$V19j3#X`JaVES(@v47&F~7{Y@&kv>V`QXy6-faXe%%P%&NWv_))a8zQ{?b0 zvNnn=GN0-R`8ZhU0#a{2Wp@Tkv8mpCgIZ=KA2v-%UcOp(IOLJ?>ci%d@}CczWwBSm zjkBqZs0PS<=u|EZPa0(Um5k)ut@`CBfRZJQE8R84GxiGQmw&ML+nrKTh{;t6IY(nK9q{ zJNv93UFH88s(d7h^1p-fW5369|JgtKs~HOfii`zt%abM!Z<5jir=ge*XrI>=84HAG zk>{BWZdAjqj=0aJ*uKa##nwfpDTe14i-DzB>^s+DXF@E-@@jTeuUh9&g^p^GHNMDL zX+$SA(3)1HH+I5%bJM|`in(p?}@cPGt6v-%R8+6C;6xCCu+R4SD&#uL$llK+l6ic}%?4>`__~?bY^#GIt~dDuu}uDOlw|=NTi>b{khw&#k;Nv04JkGeY+$j8U=UM! z*==D)V0Rh01m$ETFS;h4C&m}H@l1SS8-!(dOS^N0?5^9?C|;avi+5PVRHD1~Q_omM z#nJ>L4i)<}KlpfMo*KGEHx;AT^;cc3)2IdeL*({cuc1C zi%*9j9XrdtP+^6EzXmhUz+aKEG4Ot9!27UFM)LEic4CPbIibWfn*3naIwircq3jP6 zjSVNG`=Z47b|5yoYR@y#Rr`{#b_0geZjuM9u@&v+;l&+IyBSzw6m?q(VhBE@7_O*{ zmWyL_Qa4pAW8ab<*1aW0O~~u1>7EkPf@Z!j&3Xv8*=J3}k*z1a#Iznbw|wm4s+_IArj&dk^I?+U)}^viV&4gBojZWqN}1 zG1553;0GD6te)Qx{u4rTacy6TnZ)LiHqk--`0tyHP5OE3B(kspl|c@^`-Y=5pkI*A z26PeWY(SNcz!D*AYaf8s6%7c)(tvQ3)swOkUq;DG3&~U(&`~IlGvz!ei3?Y|pbQQH zA*VE;K9tY&Vvtc9P#nsY2E-HN6n%ImPSNK`cmulQ9+eWo?XfEv*1KB zHio$Ch-n|I>qJInq_1A!U&VU~&PvMBHu}zB&XYC^uhRL7i(?&)h9ywx~( zi>u<-hH;|?@g=m>aSiyPvTKJgb+(77+xq#4UY@FMvOX96Ch0eSjOb|%Dm5$Mca@qI zaBKwuG0Y11pGwVWV05Wj0l%#j8k8~H&(HwBL8#}9RV~Rw#st%G-?d?Xkd9TG{OL?e zaAuKf+vv}zA7kYHr7~zZHBK#$T!>8i_IH%|8dQ{Oif*OF? zsc40(J<-VH89A%eG=Ys1)l~kM%QIkcsq}w%04_;hBTjD5X5UfSrp1>_MKAc05glGs9c}j?x+}`%~2Cu{t?XA z>Zn+t^26$8ySvHNEj(9cSit1U)DNrKK6|jqHZVL}RmrBmxg{npb5ff6!WVZB^GRDY zpW<+C=%l0OVj<=z`_GoKtvZQN%*HPW>IRRhK|20Xb@x>%U!0|SThk4xT|t_8=}|S` zvhG3p>6kXrZpEsH$ddoK+T@E{bQM{IvwEs)f$wYps zKY2=}SdHEEhBz{Ix5Isod~q%RH|+kUiQTvsuLa$lXVhftZkKMDOE=b~!}aoK)le(V zrNgyH=RAk`&GRnZvo75$E*-8hR*2K}Cr3B5*1N<=^oScTL@&L~CH~kY&U1-zEdz}b zmk!q+UH(WK4mlZf>Dv4{4?r)1h*Xo#2S~DD}oX##CuD2|K z*8911xc2DAzJPU?2VA-lF5MKD4%gE&KsVc^!?i~ze**2gRQ1-)&%?ru2N^E)UtDTj zvzB_{1!Q1Pf&`Dec$pe$WxK_G?h+Qbgt!jsw%jcni5~F^4TJj1OkFRz#Ia>YN4OT< zCYBi;;o75<2ejcHC*9Ziqo(`%5)RGos|YU*Rg8|$v%%qcXD$X=-_u)7_jLrF3&(Gt zy{w+Jhn7i4F{Dg-ueg$6wt>8ZE=E7}fl`@otWa}(_860UG%A2zMxT32RgG~;xINRz zGG9jP8?V(btyIUYv@$-69cj%j;{%3fddf?-9X|&QC=wsRrtzGgH^m>MRw_J-U8UNS zitXF)a*foJBH|n2TWOKH`({{iX9Lkb-Z?d`38UEmm|PvGi_jXIYc)pxH} zN9>J8>h-3M9xXp7I^o5{l|6N z4H!std0jQJs~i_I;@*R=tEOEpk$-4-sEYgE*IS)x%xu0$>YI7lS4gjMxtj}zU;VZGflRrC+v+T?|Re}t8ZS3b&(Ap z6AmkJ+3~Q3Ku$lDas8*sRU1O)vu`VWY;h;~hx!GE4P7!-b8D}W&I|rKkLzdOQLFxQ z{^M8VUzw@iut3Mw>$QP;kjiT@!8V}Zd{?DeD7ndds*_dagy_X9**c-;G>ECK7oLx< z9%r4nQrw*+s(S^|&F`y^ED*DJPj87R{?`h{I>MqOr@PzJhJ{lim1tC_Ey}q;=cnvI*(Qe-? zl^K`E3WoYwRX9erYHAfgVH;F^eP^~xs_AxG%q)#=gkJLnW`c9F@UM)2W~&S<&s4^9 zr}k2c;VkZy`BIJ=<+H7FF8nLX+YyQj(D-INw^jnWxeyW&nrlX!nG z)>8gpat{rctt)a5E|(Z*yJ4YgITtMOpCpFF7Uf}%Mma8=ko&e95`Tcv5FtHk1U>$H zL8s)aJ#n*G=G81UA5y?l(e2tVOep`9ZYkW(am_~#s0l2*ZNF+_ zX+x*09#BbMS3Rpd%v-uaL<+&h>LX#J=!!vmCYYK*`@1}oLHoPqGHAaBD=J(zGRh2_ zjW=~}J&<|*K`bsR0^CaYV=iDQp$VjN8WFaV=p({Q zVClR_0e183I7)W#k=ja5cV2em*)X0>=2;@n(iYg0QYNNOn=vKzVSWqUp#X!&^&0Hl zQBC`fs1Cg;#9$F%uoOO63LY$l4weF+mcpKvf}WN_o|XchP8)YES)w{Kj-VInc2e&? zqPAGcC-vN;s-9j|s;-Odb`tAbt*6h^eUGA>HMhDj>&HjcTNPOseyOfQV&>*A)jVHC z>X0&ZT?82Dt-r?h(x1$TXoD9yB5LUiWf%o|rKBBqOVKI!;nPlw2Sj$)i6_)lW>|7U zv8>G86RIG{cKb<>;`x*+^Yufg@H&Ub?Qf?-id;UWmS1l=TcxQ^{z~aEMmT3f!)wJ9YR8l4^W*@L^w)# zJ0I{KVbXrU!vtxT>_E^{06Y#S4BH`}pfDwc?QGgo>Y0-ek2m@mP zLkW#y0Zj>?)&P7#SWy$Onvh;S4p@WGyAGfq;qAJB_Xv#>0L=(r*9Uw@7;z0?6yb0q zz)`}&#()HgdME` zS%e4M0HzR9+5*NBYPAE@CPZRY%&`fl2xke8+zgmWh`0sdCoCc?B@F58tCa5i5$MEr z0R#vu32O;2uy23@uI;VvPhGrw;peh8U+afdR(3op38b;=(ANNnCh^XA&3o z@=W4FHHi!9yzar%a>5xxMqj{-gwup?2z_n?^e1d2Y$i>mp#Bz!auu#K?D0W2kK ze-N;f@WuqdTZF@t0HuWL4*_ZrT0IPCN4R4e;4Z>H2!bm$Av{i)Ll`w3Fpe-P99GW5bj$HNFjVe*iLA?1kjw2Pbefj@dDr(Lj4TDb%Y$kUczHb0qKO(gl`Bf zHJ}}#h;Wo}-OGTabYkrlfcgY$HJ~aXWes2q;gdfDwiDK^1-wC6`5Is?Venr7e;|zg zD_|mF)87E^5Js*8q!N~`2k_(Q&d@gj{Aww_YDfQTwF##u-v@Aub8M~#;5KYd^5+0< zY~-9Ha8n!Snk)c!^Kjy_0o=yH`INv-2Jpvj0RIN>e4Y#7ziXZ9c>w;2(fKEV|7LSe z?FH};K2CbcJ|O=c;pFcJ@FjGo+d%-|0(R6P0N+M+P80aPqqD65z}M-VS%m<;+~ssR z4B*>9&KUyVGQryl0KVDa>@5cH*|^iI1ivV@e^7R3bDfumaO#o^LP*GqRaaH<*Zv7)^(FWlCq%kgw*M&6P6CJ7DRFoyVUvq zr2h4SQvabu5;@lpdR|dt{3%nJxKo!^rl(tCm;XzNBy!pl?!2PJwr+_xTwdaxZiz$x zFC~)5xs7n@1i;g3txM_=YoJ?VzspNJbwUg_`WQ&As#Ra51(6fRPfA@np#6d>4^K{; zItt3Z%&gwhOT}bqz)cuklBH8XSYCd)JY!vXMqe(^@^X=TN;%Jm~w{56*Gh;`P7rta4Jr}Wm!@k#njwRpSR_b9-#v_EL+9+;_wG~kW6 zG_!bzcd*c36^iy4A9NY#hcLF#FwaKDtE4J9VVt&SS8(DTaI!-Rx_7f6Jgh* z4c)@iVzm%fSGEwB)m(r4daIAirDupxT|*5L6*S0yb3Ck5R5X1Naiq(9xG-;>>?D5$ z8N-^gCvnVgN*rxCi^Pw+Odk!Am}*>N$E#a@kBE#M4*PhA-LAu)utMyMcD%NhyCr0V zln~|t^}_4$o1)jfTq&Df?tlO9N=f`p&h(M&jPT zVaATXDKWcdhJgxoi67tsNTTO_(%>YWa6UF@?jkIca) S;l5eGSm30e(m6Ha2mdc1lH1b& diff --git a/docs/build/html/.doctrees/environment.pickle b/docs/build/html/.doctrees/environment.pickle index 3a57141d3ce57228f2ce04a37fb3f7bba36d2e0d..4cc502e8c6257ee6fad199408cf83e27521dad8d 100644 GIT binary patch delta 17592 zcmb_@c|cT0(s=s4nJ32p!+pa5A|SW7cre4M41*wE@ft@Mm62l{29h9r9KX(88@yB#`RdrQ$ zb#--h_v6~B*bAS;YPM*f3F^^YNgm;Dsaw_B+AW_LA18;Tgv)`rx%9VGet(Sk2Q7ngy4pS*ZGz@auTsBb8?#gktcXKMJ z#S=pj@rLXy`CL{CRS;#Q%AaIK%LlVVh0am(zU*+hGdn~+p1l~IlM`}o%S-Z7BPd0nIimVL?J~{?zTHk=lEC+FlCn?JDeH zm0HsqtP)iGI<3ebnWJ!SEb{HWQSwWMdZz5x9^x4XSS7IHO;-8H{3@-;LB&zB^W_n} zFIk>pn3=N=7m0b}y96_^Ar$m<m-#B`QvG!_*4)Yf$sz&eebR1t0}m*p?*Dr`8zW?PR?Bx zBkSjlg?T(6TgQ&2KIN8yf6gyKX81nZ4_$K;!QE z1)05lzp_m3U2(D89}V;#y#7+eGmoO@eV-XW9X&$+e)lhQCIEdd-(7FOA6=Cq@sEM% zGCGeh1)<7lqT!Qta8J;&JxP7~Nym9yqDK~V4nM6&1;HN%Jn~37TLI7df}?+g`)w!; z=T#%Ee5ie7po1fL-WO*WkOAN+^3un2K0`R%5sdP9PA_>l1)~WgJpJ*5U{o5wF?-z? zAGe}Vd?F0#aeoN>d~g5-@)U1+C=P|7OdfvF1OGk*C4_Mtd#F?x58gKlMaY+oIy@^B z1t}WXLs6;H=m|x+yvpw~mG6h5bcMzch6;6@fPTC+8s*7x9f97V_k?jwAB3S|UegbJ z@x3^dB%j_Ih&P6#0EKf`I4V~f7x_k31e(puJd00)O#E&H3RgOO9)Zlfm@j;>sg{Y6 zXZ>`9SGmSWPRzTJsEp_Q6+RvVqsjZ31{2uKZ*e|hW{E-Z3eB1ruEUWSwHpb3 zc>g?daf$gEQ}21kPNzJ=nKf@z_nV$jEE!@5fA7xINr!KA$*L%qtg+ z@5Z6AczYaYjXiN_hN9_>I8?-Uh{5~f&=`43r(U&=;{7lp^R;t_K0;B6>@o(bH1Xgs zlfZ*_?nvTP4oX0?6iIfzaX10Z;l*a*(}|#GRU(R3Iy5Juc}nA>L{y_RQVbksivi{E zW}L#zc+7xCDIIPZP=(T%mW0Zb#`Yvss5DL|ab!u!s7S#$l97owezhMCngRCc!a8}M ztdVbZ`veTl6fsLJZb?QtI4cDODm+XnsDkJ5s2|Q=h2n7k7?|rW9Ewk-pdj8Ti}C(U zluS_a(cN6^${Wco;Ef|u3E#<%dvaJOoN!I>Rip=}atq6v%9-HTsi=h4YmFc7k7Q%R zqer1op1T|Oq=I`?KF6uEbClYJ9%EzoPvgdJNJB=R&z2!Ab@;h7q*t`;Nkdb3U4HI| z6Jk8NbfhCcoR`i;mCAHfrF7k&jw*Q(JBjNP>*-|kUM~Di%is+0REBy{J?n=9qCE2c zw+4kM+!IElX}n^4{n%cxVKj>6y>CDBzB}VkH0~eG>3U(bdc%2b_-fzx62IE3Gr2i_ zJ`|!8;$_(=P;P&P^My~cQ6$dEL0P=IC-ByhD49~@-8tO$X3JsJ2{>Y* zdL#XWtuH1a_ccFNFgoLh1E;|x?W+omR|TWb=(r#lJ?ZY=+TA%$-v4?6ek&J6@!AaF zGr61xoXkZrcyb=fQl>gF4Wk&QYWtBoL6F7&hD9+SceUb-7wx%Bb)If=*9GdfE9#qDq;+6RG3mjyL@9 z#WBd2m;5iLkk43@t;o4E1{kd;qdEjx%I2|X1mEL(ylbp_ulzvGV_HNM+4uz;RNX5>HsF0VE?vJ~YV7LG4M70}cVl)Yj<;R(WjR4{M=KEvY zd>H3}->9XGBYng1o+5CI{&yv{?I#j8$@owKlA>(&^;Ty~L$g~oI|cqMbAYaR*<_^W zm6(Q2MG!R!>gzBR%%hC>_+&JZ*RR+g2hRfi2z6Eg7w#WU2ICoKF!gYA0SZ<8&{TlN z#eI)CRl(2XLyEbn5y357U9CFsDS6S)N2zU*5cJqiGEzn+%gpuxm4v*gi?^~ljl&6 z1E!%dJY*$yPC*&}mV!DwGfoU~bQ+g_@0tce3L`y29!^7gej=RyEc+$h04K?dwgss| zW-Di4O0ep1q}SJ%P3M_knyz+*%X}X43nrz~3c+b#A@Y&mJL;q6vJ2lcq5|GV-TpL% zrSy22Nj*WBkY^CE58hELsJ7JSJRL8ZPzbNY3-|{Un#@D?5lg8cFDolmwFkY5j}@u6 zhn1tris^#NAxCQ}SDWK=yt^EYKU-q0?pvJfD4d+d|y(n)Bj=n6|vO_EX`DJ8DFy{LvSH(m))+K^=sHZ zQ=Na@BzsX3uC73S^6C#lRSWkHjei8^FQ5M)K&8Wd&m03%%-&Fbw{ z($UC=`zuiZzGp@nd^$zFxA^Mlsh*=Sj6~jZQB5UG$e~J<&O2fd{=tIM@#ac2BKY6* z#+OJJ5{ns6a?Ik_NVrEJSVWTVoz}?9PHFJ0>w=D#5QR-uC<{>B$>flQ_(l~<;|UW8 z;S?T{M3l=SXE4>2j>P-tvw0v=)ro5wF{dhL9gUZ9)EfEF86WS`x6B$EARUA5Q}t$& zr^CB4;F99jEELNRe5?+?md-p*!oR2XaX^P>nzYKD-R?PnSvm(L@$BoU zn*e)VgtNuj;I=m@tVrg*V#qRc)Rt)=9+XVF1+_WrZEkPy!9jD;*r2tx#x^^rRn1(G zy?7mjm(0N+m7lusnYrrSyp7oyPlfS491IUqDYRaP1LNQZ7ZBLEM)2XsvH|a#r#@8lp|+fR!7N~aNa_-m%W0W3)Okr>&)i;3sDBYbl%kA)uG6MPcH;yVD(R~D&5_-`2w4v^8j75eaxi_|w(@8YV(D37OkPf<=UU;bO9+9CRxihxK^ z`PHAWVF`EMJ+&C3#%bb!Q@#q6onLG5=_PQ_cJM1n)$0SiZwZ>jo8Tl1-?H&5U+AXy zPQjifaB_L!zUZUGuS-k7N;LBaV!UUm`bzpNTS|lxzPJN9befTAG$O zG{c)~OS5+YlUQ&Yf3ysZ=EK`<65fmC@#mge85#neH(V1%Ic*{>#yP9`rzmTb84Gk335C2)?u&*?EYFtLxAT9wOma z>d{hcs7DeH_Qm0L0C&|ZxxfH^uMX7(RKa`iPy`yl+4ZPSKeyTDYMNQ$O24~5AHBaT90uDu-*>%3oGIF2XI5@YpQV+u3Cd8ux@54kk=^Ii(2-7TAkwc zv|mC1+jA3EDo+^{o`l!9(1hKqP`LcvKm3MVo1#Vzp$xo~G@P|cS$~vnG~T!hE#_&m z@mH(RD&F>a0r*TJij!k+MPs7_64$_QlnZalWGp_^fU5W|69UN9tcOA;5{s3O;U z@3qOQkFUy%zF9mSN;Z)mUG~InejbXl`(6V`GD}wLw{w1K8FA4417z z)Aglm6ftC}HW1&b)|V?6JycX9#h?5aOZd7fR@2gq6bx+lU8MW2;NObk-B_ zJbnlp@LybLDG%99Y*~$Ww4xD;`95(mqff{8T9KBg{uz-!mxpYl8tH1?%3bIH{-G6U zYTK48gTYJOD(lZxA&(LySbzGzuiwNrKs{(v_GfB@-PpKRxdWw;U*f0NqH12P=kXnY z@NWKM0PYzFuQ+=GP++K{8JUxp;C>V$+Y{@QV;N=o3O=?@IW1Di>jC6GE)IXO4n+jJ z+LRL#MZSqE)}v8;#5~CO!X;#u2TZ^G_zeReU9a3BQtZSn}NM#V!m~3nq`JUhJk}Sn^5<*ba}@`-Y*(lcBeB zT9BGGdD8J>bB1BbJB}AyIt)u*TD;hfRm0Ha!NQAvc^H=5vU{-yhhfS6xflEKFf6&L z_F}7G%Z6#{AoE1MitM^xbUsX=XBH`zc&-;~9EK(S=fxI#v5Fgdu@x$;_=w{V_~i}A zihhE{jVK%a6z6Y5WA)nz)fKX4o*=a+v3nyLRsT5D(;aGDr;a(LVPh~j(=l`f82;7Myq8wp5-|BJKM9HTI%5j8N@mE z;^~`EZr)FTz(IaiZToq*V<%~K4Yi0Qk2t{XC9S>qg-s}*e!H`zn|`_r@UDp{0S)%O{XF_Fo!<%IXpS@|ZR_6s28z(p zW{No*1{;dM3`XJ5_xA@-5)|hSppj@0KRAG*HG~sBb^t}On)Lt>4)#^Pfr3W><kFG%=dW)R)-Ywz9TndSR2(WP{XaulGYtTYM+z&~LWh>TZ_LNXK|7=?5w{tlg>h&NFd#U>#iT5Tp_Boxn? z1Tu;vto5ad%KXtJj2cbGZ21~lzC|D>u!Me6n6uLEwyte~&6i@oM;48+tsCDh7NUU3 z$|9yik&ptdUl&oS1FZFZ5tW)aXe+oqzZ5tJ^x1lyhx!+e+=LOA0ei}lecegdTq_HcDJwz#eCb|*<( zC?d>*fV-`FYg6kg>xza(NO}k1{uPWqh?B~|7=v*4IyBn1jY71RbZx`;dQeo~zA_T5LE8@j5DX9xwWAln4Q3vXA9%OmJzkWG$`iO3Pn)hT45rvK2O?^J;cOuyfg<%o$kO%j4Q2yL;V3*32b+d$yRTLVV{@{h7CdsWZ|fZ4Yz&B+ z-y+O}Vt)&r?vpJ-I$J$c%rn6?de#WhIMONP07;os$YRdB+*}W%iN`fgAxhr&r6j;O z_Bw^xKy)97ph#Fl+09%dl)*T<)__|N;)83zJqPheYrwk)@trjSELa@i5=IWW0`Q9z ziG^zb=&|JfIYM&Z^DaSb1-ARXrmN}5*FsDzwX4J21)7j}XK&20TAS@wD>3T*uffeu zVE-%BPsgz0(JMkW0JmMC8vgbQ_2?_C6?&CY7F?zNU4K;=2b90ON*CARt8`slxGJOp zP;-qgkMwJF{aK)(HnFTjmd&u#aK{~igctc5mC}EWuH?U6qvi;_PM7ew>y*>t>lD{< zom%(cbt>%ib*jO4*D3qN8&s__Ry5t9Bs*`=<@)*!+Wn&&G-O=AAtZuW-Wq$}9cWJS>4uu#DCH56I_&lT4;BGNgwKUtY?VuEj zFFq+o;I7Gngx_2(ChlG)2IAvO#lMEC>C0@5t#-WEDkkH~Mllb_CWYnvCz9tI#j$u= zs|a69)QV$5b5v3pm-v%HDlR-E`Qs%EMcwah;xdE`ean`M@aa;AAQYxj4aeu@8PcmE z>^HV&7+PG02|42o=@y%tfGQi7XW%~yLic|r9hWmnO}eN_jKLE=6oT>NqLA13=O%HQ zgl|75j_C7si(4W{HN5Y|?P7rsep3)a|1;PBzX~L3`tD(IZY*x-6>Xu0#eN3Q-_R`K zs$Nif>z`2+&WjZ_ed)gycWVW!weRRVVi7X_^QY`$ote)F5qFMxgY!^L;~5!x*u3MSxB<}*ZqLI?qc?F7w7M3OxH z@(5iSeMjh$IM0gjkBG_nM2_V#WSIt;P-m!z0U3CBG5%Bx_BajyT!WJz1lQh=mXK*@j0BkXdHE%S85lO+9jp-KT7RurFKoJ-BfCKl-hlz_D`ku zjZ*uL)yT>A!4R+wpE)WT`d<4`ycn24T_eRj4eS?G>$KN3*jvFj`0!asoiYh;9fwFR z`{{Wx8x8Ir6w@K`$ru#vWQX2)SBzdrStXhafK>q5BkHZqZB39v)v^tIYtE*p7Rq8%&E)qo9|H^)31y28J|4E;9^;IVK|BpG_zJ&~wjz9*6cz?yqv z63efiGCvL3LeqWf`0oH1uwUGxZvDeOF&}0v=e|hxy{h{nq!2|Hk&GfpKY%L=*mVr zKMaDOXI?lQ@3K3+o7H0T62OCN4fTg323V08!LUw47WTAt8nPp;WW}y^8j^?|W5w-t znu*X#U9TZ_nz>#>EU}suJ6Q2HE6%XuAL}(FRnBkMkbLaXc1<}H``f96kJ>fF%=gM~_SCG}?sDxV=mT~Ak{2Q8^?XG6XN5p9LtAlo$$%{`;ifBEv^}YI@Z$~zI0X_+2`7*Irc}EoKG~Dz(AAmvY%_h^e|AD zeXZTqYOiPU&{n9eVRW<2bAT=!U;eo!9RHA=wa?+?x zWj$XszY0Br@t3nvC?JAOT9Q(XG0{%*OXAwv$pQ(ca8tYRc)1rIynft6;6wtmtILTjg}BJ}jrkxK&OS(aoS5u z%c+J}M9WRJhJYut*)@Y&@Zb!}_mdfPxVKp=V5W8w47Y41#jTi0Wo~E1K`4@$$u*XA z4Gb`NZmZozJq3aCs$DZ3o0nb^{jZ7;ohmB1O1$}zNw(H^USng zjhXgyvSKGI4zl87R@`EReK%~SgEWiW5r5VJi&?s)mjp6Pghgcf3K!oqH1WXpoR)s!de}y*w27}uAv6M&RV+J zR8aP8s=Q@3<>_X{9)>$In=-pJTRW1Tz$^}}WwjPe6huq}Pbdw|E9pnD9vd}jElz@_ z{xyVdaW&b95phW^72i-x1wL6z^?j2SAG6|aEj3K&9Eux1hw8MLwKmV8xR>V8;htc? z8?4aHr5$qSQqx=JQVC70*fE!m^Wa=Hn7%{^XZ`8Vy%x^ zaeF?*uED<41=@!jV4hPy(Ha&tl=z+in1Z%=2G$d@sWqnY{J|uZ(~g#f$g%{6io0s0a9m#` zk#uEO5$*Y2kwk9sZWT%7{y3pnA~y!Jilwov=MDt_N(? zU_&!}BzL+>@@4cU!BUCy%B4gtc?^ad#4@VysWNJl@5`vL^l~Yak*^gjn<;yVz6ZlZ zmrHp}>Ft8$X(9y-L{g8-<<#{4GbA&#=FgBwGTJdivO;lbhO`ihf|(LYqpUL}k`euM zrZin54;pOJCHA@jUu{cc&;U-Vkj7~UmH!;QTUYFK z7PmA*#t2&}XozQ3f`ta~#!6`t(;!Sn--HW*Ia4Xc69$!1927c>6vGG-@s~dEWsT7y z1pvIt0@fP9Yb;>z0o+q1MSDL)VD!njXEloP_kMmbfbUtPk<1vEN~q3LtE4mq5I=%_ zT`+)itEEJb|4`oPLmbaEqd4DYa>#-8PWdI$PX~tZYS#oi&hj{jr%FB%VBMG>P%tqb zXqG6^F94Wy`s@#I&?J>HA4P^AgEvd?r5b&|>ZAsVp|AWN4r~p1xKTg$)M1}d1k-1F z&luU8Jso4BpLf3Tjv6T{icVZmb-R02OS5Y3-m8%eAn{@inee_JYovdyX0H)R<}6sD zLA5Q7Fwv^BP|#6{AF~OlzR1+qY~N853u6XqY{a-KOCijDCHO}Dvr_B&~}Vc z?mb3HPO#$dtcdHUtHIPyc{cP*@pL1wyoW3gNx<;)s6#Jf;Xv093v~dW?w7)&=?GPL z0%_}v!n*?Coh9P96r0L+l}K{}u+mwrp0zD&e4&A=e zt*7e>c=8GS))k4oi=4P3kyFnNXvNT;U1k}2`m>&%cOr);PzWKqnZnzHef z2!f3I5EO!OCJqRMdCua3!W#`?6Pzcz2#&sS&_VxGr@C*~&CL5B-)C3V+3M7(b53nH zUi>Kh#>e6MPQ&vBhxONDl}qD?DKR5s{5Sh9ZLqYqT3gdv?UuGWOM|^bxfdHGx7n7~ zwzl@>j5O*B&PfkFRFpHg@v7zepWdn;bhehn$M)0@sI7^w2G*ZfTa&$m>(9DcD~pt0 zj-EPRj}zmRq%r==iX<;(aeRa_I(e1yO=1GTVwBM- zF$x)zsB9e*rNkr_D!bw*E1Q!%l>dy61em{aB+)~;n2_(*g_<$xSCV5;qEq_+Cb=WQ zUr9~!RJNyhDc)nk|BoIDlpm6kl!la0#V;iQv=|NTWY8`edS>HhJ^v~tQE5*Zshmt% zK+Y+VsdvbrvM4=P$(jC;Rifrb^=3@lgpJ-0r@zT7&t*9( z6*&hu#4GPL&hWk|RLR;jy!U4Q4vy(Ae1lgiX6)w`&sneY%KN7Oz>4CP7pmBQJ*;=H z`FW0+QF@4Dp34fQsqgEC_a>GjR|K96WFo>Qde!bCi5Aw>DNBgj%c+K+feP{j}-l(ey=v}a|hA5{e+mz1qc%`bk zQdyV9g`BDeA?vdIl<2vUy>XV!ym4x}Kh5$Y!M$HDS%Hw=x|-EQIX^o>Nn0GI_*9L9 zxqD6Vn#+ZRET2iB;n&+*yA~^N)&n&IY+AtqN^s*Da<=zo<4+R8zqd;yf=#0Mt@l?KA9YeSG%fWPv7r8>tQcrJE9Lk3H zG+O5=G|tm#o2To~(iU%GCg*6sH<=P}+Vi1@5_sJF$_>Kf47BN$coL-abi@s>cc5vR z52+gFY`oz^(tQQSy~s$v@*xvcnq*&6U=(Qf(R5!DK)ZZNst7*7!Jqk(WR=y&k4zNx zI;`roHJk*|&K_b^Y>#`ob*tJbexyKUzwAfSMD31n?V|iif=W~3PqIWc`stw%lCF$c z@8ufuWq(0vasbKm6o&Jj8;u-6VwBSxyy*S_;;BkL9zcrJhA~iR%nKwHVxOPV@1ak6 zBaj4&k_X-Bfrq(dNTYW{F0)Ppd&|dO3s`XlE!1Q3-d43S75Bg{hbjMl!_tHMldkrO~Uv zy%tvy1LRj?QfDliI1w*<4KmJSkBdAIFnoQN!nG#0cHQAlko5=fC~sOQ~ja~XusQzgU)r{ZpcOUrGE zf{BY0$#k{5u0-;%=w2^z_c}9Krp1uAwsfu`t`u8~Owr6j+Ch_&U(|e)d06xEta81#{WbOL!JFW(-51~rWE8?;e zF-Dv8Pq@>b5E8R3m3S#BFS{FI8F!_*!(&J=^_fn57@F=JL%hV9_yf)aa=N`@)F}C9 zt~|1(r3fMLTnb3cp5~C)kwU!1F@NM@3&gbBYPT+}6BBQAD)8S+A&DZ}C+_s?sbG>l zC0_oj@@#E6%gs=ms&&cp?sRJwxW;>_WUM;zrD-ILjz}Y8RLF}Aav+^VDW&_oG{gIE zhk&=!gxx_-I*@y(3yc0%2AQ8u(o~UG7z9M7s*scnfIzoVG&Dn4a@R3%Q3gp@3C}PH zXdI<@?{`;1AIdJ!&{qtcCV4tp?15Yji0w`6a_wk_7(Igt^ zL#S;5tdy7T>V}B~{vNbB0RM5lnmNJuO+U@9XCfE0 zE(h{m*%4W*(-bCdoH*?19=PwK{Zq&=C97A+q`N1v7@H11Pfa2|B2S(NJ#1z}10H&6 zlGav*^zuv+%W*!FwZooCzbwX)#zO;;HLaWiz{Ul?T~q8GKo+fykrWf2bn1t z_nM-0X47(q8b+EKM0`cuT>9b^lA#KTn92s40^0yILg(9h`azzg$#IL=d~pR7hA*9} z&C(VRdM4Om5hVD2vCiFF;|?`~(SXELGx+87-c&MH)UlrHUp9?Ih~P$?bgtc|zuH^OwaKJB*dTWGs2tt*nqi(Kr6Pd}( zHl4(auCd;O`aB8|2A=1y%{MG0e#U+C)m-q+l4HZQzWH;yJ(G+Tg+1jER&vZEL^F;1XePlR%wJ>AXW0zLvOehJS!9?v)~!s3i6W$%KAKGu74vcJ@qtob@E|5b z@jfv`*By*S6TiEVdK*NYc2s-lOm`&Bh~LqrWw}HJ7A` zef@?(0_o?u+C=m=2S?{={qd*@4pw&m-k=%GagN)WM-s#iPNJnyW2Ng|H?6ter9Sy& zvN+Or*+>uKNG&mrkpiE)@6y`3hME>@lR6%HDW8PWgZU&ORIt?h%vXlnTWoe~OIrus z8Vp{`tOYUxH0qwBsRd-bsOf2HD@KWHP768W)OF!_B}6+QNLxA{jkXY z9ZPIkq6Xh%W{jufZ%dj($OAS6*R{*SSuk_Yz@Cw^o~U`2aO&C3a9u?lCo2a&(B2Zr zM%>*pMw#9AUkx+o$|+8H&{vSN~e+{*E7M$IU_=>`*-B96(=$QJ~s zJk9zONV68eYU0EV!xNlnqY&2DG*Mo-kv30;1qONgi;2G))KQTCSQjj{cr~z%7or9J`)Z+tgn#Fsb zk*=8rtMTapKMi~#Om`l_js7dF9okLuV(u)c#<6UJX5YG$UU?Kex2uwPYxDLpW=li_ zibkuWhby&#(O{%kX7a8B+wHJoY15X?g$`J0X=oP?eQddEp(p0Un%sZRJy^UTYzGTE z_XFv0Gz0>-U!K=4t*hzRk7#3Rt&vU(hqK3X=L4xv4jC>+%sRk@ftvP(at#}jtLn?4^MG8r z`2h8PRJ$uV$j4p%sP@Qz*hshgk!Wgrl+6Ilp=jl|n6r)(A$?rRS#L-Q`SXash&#e@ zaPsw`-t);Yt$!b*yXI-H&-&?|c_dww@Sm!VKFXfIhG-)0k6clJ|Er$wF{e%uec(eQ zJsbv}nf8T09*D(WK4u1=Btrg+C9GH=_VRCPZ>%12?xp61PCo#OfFW3B?LmxP;CH7} z7ZMLq^aZxC#VRMR25Uz1nUUYLqp-1b;1m*NyZ|Z51-F%nY)yPCi;nb(u zg?H|15EV)9*c_-7tGc8jD#nG{0w{6Rai08s_L!Aqii*Um9Vz|a$n~u_&m?War za~q;k=m*QxP(?^O4PQbv4l` zjbs-6u~?RAx>hJbG{iDfjDWb1lC}xsX}COiBCEZ8K|wKS30^lqcp7|T!@-~76j z&P0y_>zMv!&-cT2)v=xrO> zPudv|9{IxeBLgd}t?do2>rce*q?g-Bp*WV^G^3rAiIBZ?3qZukc*T=l>5ia}^~>IV z;wrIU&t2Z;;DxKydrSl$_2kP)54@GG=f{79A4hWddAhB8Lw9@qyHI7{#++jC zkKkvshuK!s-e4_gYHR7}RvaHt)OW+vdhN#AjmTF238P-BfL-s<`qd$5_D1SrPVv@?W=~u$?88H_ z>_y9kH4VYChb9+xeajFudw_AF-xz{rj|(pB+e5JI;lPDGI|R$_;a%7TuzU0Br(UD&xAtnQ)u<1}{-sU}@??;4Uqw$jsU z$T*+p8Pzow*xOi*QvbDN^dtr93H4gsW+QjX=$TD5*45q2b%#*Y@21UbNx6J3%l{l8z`8mp%j;(&eUJ`$>DpUBZg`$$L_tFccQt(K;Cdv%+&(a!F|;ha0zcY7c49R`dK z4v`2b!h6WXP$c)sx3pOb+nbiQ)!CX-8!fQ$8SGopL%!M~O*S*`Jjha zzOB(x*OXcfr0mZItX>=0O zUnS=IjNYl;a%)@lN?QYH$E5v0%z6oI`fRQg0&H>)S1m^x2`y6&s<4u`cH~GI0Q@jV zN`&I?Inrn-B66|F&y`ZSt<$rl05JYDxl*`{HspG8q<5AS49Ls5QYaMnbEQZQCqT_> zcd|gZbMGWJ8<^xAFupXq6aj_VE{$-SIy%y6>aT55I3QoQgNF{%Gj^P{ zd(d)NHM>%Z?VH*x=~_W<))znw?)-%m7LLJHZ|VY7SoX6vKx{Qxd1!Tg0ZueP_kV#7 zc!n4M_(Dnn;OMKUV&zrz*q`&(n^%$Y+*R~n-8Jc9pqz9KgJ<3~^!v5fq<8@S`Wm|b zpRQpo>qs*8I*P8oF2w@n&#t2p-ncG}Lc5ty5c3})+GzQg7=}M^vd9}!Do~qm zU}v@)sKNFdDE{~jRO>1)j5m=a^(Ka6(M{~7{w5fAfIf9oih^R_O=S4^CU*V(O(_|G zqi?J34;83TMFZoT4p7`3_MIZwnp9eK<%dJrx|w>w#Pj%$>E( zS`BwQm`fd^4qn5^EBO-jY5EfN+ybWKdfvOC#vt82iUjjs{gs{_knRU5xg&+9qq4rd z6PDW4??Mpa#u2!)M8HT|5>H0KNbPr|(Y%-G*D>zjxg&+~MZ$|SwbeCR;Y)Yelj5*5 zZb@OmD8tL~8EYl`^1ZSW@O?2~NjV-l=&mD84}-hG`5 zE4$RhOHc5;`%*flvewNZO7@=6zHjbJap^FlAxS#s0uz#SEcq@@(#7yN?J=DIad0~U zw~Nu(|4Gwn)_;Y=(y5lFCR>|B{JTjywg6pC(q(X41}M!J0v)r)g@9?wl64{6G^dhu zEMG%nf#<{|;zsu->qbZyw)FKU>vpB-YU-BKGu^s?zGvs_HV_)KP#5VPols+4W`T1? zbcwCWnn*46x^!w=sJl(87wFt*&+C%BZH3OCzEGhHrw#8*!|AVn4lh=R7U^bCk7`}4 zitwbR6}lGs&$&7y-9Jy~(RZd=H=FduTXes2rxqfGdbzq9pPrsbr#0xN(Tfebu%QT0 z!N1R~QMW=St$l5+x{X0l{_wP}bol=!r}qCV$E>GUbkbXW4b8e2NS}U(P7ZZbb)oBe zbzvlty7%fVQSQ->e>0awH`$`$&n9Z4>sq7X<#A z82XBTr^_Xh*ORpCh>it)&k>yekB;bA+WGp3j^#+tqd1+ZM|Et;H$gEGU4WW)g9~`_ z^B(x0wHZ?;bHA5N2Q(;WHhqzcI>C!8M^XMikLuXACH@^ruOa5Cu$kEG@93Guqw|&3vEP_3ncEmifP)0TQZnc3pc~sU zUC1LSxKL-V2Z+k0`HtKnxj|=cVKg$A++E)Z$;zZ4upN$fF2o>hIHn7)z*u(bF+?Kb z{{1iz7AJ+wA@V9RcR4l&^>dQN>yW$QOj(bmM zT7M1>Oqhx4FRHc6YVEIT?W$V4q1JAzwXf9L*J|xswf3D_`(CX*;5By0dWgM6vmvx^ zj!?FiMD&HdueyIWsb{e{ffrR!Ov5l)U|I+Y`czn#wpp5%H&|0) zzun#luUd$$Hdz4c?ZUR&8|vT|Yk(eJsb|^!0xt}!^lUFPju)0y`iaomzDm!Gacq^I zh2CXekk!~4$%_JBEMKi>+t625>)Dp()M|YZ6oDPsLso~L9ZReodUn!ywnIM!iuXG7 zc=+N#-!*!cVp7)VNAsP{4PqY4P6~V0>e*DSS%ZD5I$4$qGg=l;c zqLBxlDgP1t7J<1=eKA~Spfxx9aCmB6QA8f$$YuhkFy9&~y&)8N?ZnoT9>H-|F~0rcBU1KTOZXBjG?Ses>- z3&kf{2Ig`1c@ddyU`Ec)HZWr?%Qi&vHFuxs4Upr{o;(8q@oF|QeUNQnGjliFz!qxH z90N1vm>dK1km4Kz%g}W>Ncn6IQofmkatArdKR9qiF7}z3YhZca!dp-9)~mVjvE=|g zpNpdJ=c4G)Jfxh)i|RZCuII(>Jk;eFZ(YhWuo=CdhdqSnBVT4dGAznRnUC{gXFl>B z;jMGL_y;e73sCFn1<1FM7mpVp`%d0^r@+8m_1gj*W=J6x(+aWoxrNBLy3oKjBHIhm zAjf&@G8Ws45EWB|Cd({BZ5J0ITW1l9QFH77iO` z7$!k+WCrSaeg^9KBQIiSVykc_4s7{M9P?)0dSfP9?!%eL_a!fkvyd`n7MfrdZ>^Yx zJ-iGpKIqkYbBCU(HoMi@Qe4;C1}l9-o2vO*z4@_!LG!Z{TdUXU&FhDvUHb&{2EF-b zL($8f!fBofHCt>#<=2}GaWQDkEqe2_jLSz<$=bvZZ10-T3^#aTEXG!PF%G<}7)RU; z1s~iSdh=UDB{jA;sH6L>-rUFVzCurRBEeC;`Pfi`r8awqD&d6Q{4OJKna^UkTbpV! z9iH(=z4=dCd|eY5nk8yxzxVX!_Zix#D!^TimYC5fjb@CYXUu4+eb8Efe1m%PImYLu z@;R>85PLyyzR0jH1GZRKT3cEjYlrzWz46@CSFG5{)UrZnH}aESIk>!LZp? zfOQK!&~3*BCs5RlgiQI7xGqTId=3?InMjZa+G<47v2?!ORqq_$_nILU4a9m9QQT{ zUaCO$2NkGGR3#QUyjWU^!`#SQuT^3Xr+Mpd92fKmDnIQJ* zX;sKxR)x5BUhLqwBUNaHOT6`<3VVo|gM2x>u*`u(JJ`2@|A`^do%x{Yn(2F3=F>hk1SMko zfjN%d9~$b|e%0aq@x=Tb1L_?xdg>EHa2UGqGRgct+u^$*eRZRqT{Y4lKSAB1KQ)Z< z!qwd=Zji!49o$#{sbNzsUtUv96M;QRIea_T1Cnu59Zx$nB~#9VaW!Vjxlr_E%9EkE zl_^i*Y->!v0Jb#6ayQ+GA!>Tc)C~}tV}awCc?n)&y_h9W1Fj2M@>D2-v*ju%nzH4@ z;W*TbraLq`M-HHemcid0um@%iziWD+!hL|_Ubf6aAvi~7JG6ovnH`htIWpT~y`3W$ zyP+kP6LTH?JVy?5$BPN}zBfQKa%HwhUYsjupt;Q*#0+QW{sK9~^`6UbdY>TXXPA-W z=wTiFO$xmB`T^&6xpE5Mkx^pa4R~5!B9G>>ULxk#2t89MN8-C92Oc8kJ`R-ejS=>l zd8oscJel2B2Ib4_UUx=50$1hZm|n@3)A%TUB4$r|x=@Z{&&KX(S+lof4n~-a&yWK& ztpK?e7RYQHxQQ2i1v0z3xKSV{b4^MlbCpEP^W{h%$5ScVX|7~mOz#!QQHEknWwt_; zva?WTH(P&(7T2UxGCxI603E(^a*>-P^Dm`sd2(a`e-TB2-IDnQ=7Qn$>pHyAUtc7f zK-33CGTRG(QzTbIQ8`1N2gSh|GTZb0WrobQZ{N+3Gxh9wf<|Y{Y};2oQywofz~&V2 z$W->s0H73yLv5QSvn|=~SpZ>QSdamLq~KQ-j1u4zxU{kynQa8`&qAS5CV3$4a3RaLWxJ1Iw0(FCW8>RnGTRPB9LJ*Y zIGW#n9Mc`;#qr~q?rw4tzY|C@jTg&!(RBi2>Nh7)=A{!dI}-hHLT2kyV85K2h~srC z=ngbzVf{?L*8pneE}HU6a{)ZxOWkJzAGZ0eP?pu?`)7=Z&Ja;RPFr zTG9@Ga8M0*+l|&Hbh$&fiz#{?`cnPjC?Vd(*qnfy^(T U9BTf_^Z?JzF7SDpc3n>Se;g=I`2YX_ diff --git a/docs/build/html/_modules/spatialpy/core/result.html b/docs/build/html/_modules/spatialpy/core/result.html index f99c972e..1d4c4b2f 100644 --- a/docs/build/html/_modules/spatialpy/core/result.html +++ b/docs/build/html/_modules/spatialpy/core/result.html @@ -405,25 +405,25 @@

    Source code for spatialpy.core.result

             one or all timepoints. Returns a numpy array containing the species population/concentration values.
 
         :param species: A species in string or dictionary form to retreive information about
-        :type species: str | dict
+        :type species: str | spatialpy.core.species.Species
 
         :param timepoints: A time point where the information should be retreived from.
             If 'timepoints' is None (default), a matrix of dimension:
             (number of timepoints) x (number of voxels) is returned.
             If an integer value is given, that value is used to index into the timespan, and that time point is returned
-            as a 1D array with size (number of voxel).
-        :type timepoints: int (default None)
+            as a 1D array with size (number of voxel).  Defaults to None
+        :type timepoints: int
 
         :param concentration: Whether or not the species is a concentration (True) or population (False)
             If concentration is False (default), the integer, raw, trajectory data is returned.
-            If set to True, the concentration (=copy_number/volume) is returned.
-        :type concentration: bool (default False)
+            If set to True, the concentration (=copy_number/volume) is returned.  Defaults to False
+        :type concentration: bool
 
-        :param deterministic: Whether or not the species is deterministic (True) or stochastic (False)
-        :type deterministic: bool (default False)
+        :param deterministic: Whether or not the species is deterministic (True) or stochastic (False).  Defaults to False
+        :type deterministic: bool
 
-        :param debug: Whether or not debug information should be printed
-        :type debug: bool (default False)
+        :param debug: Whether or not debug information should be printed. Defaults to False
+        :type debug: bool
 
         :returns: A numpy array containing population/concentration values for target species across specified
                     timepoints.  Defaults to all timepoints.
@@ -433,7 +433,7 @@ 
    Source code for spatialpy.core.result
             """
         num_voxel = self.model.domain.get_num_voxels()
 
-        if isinstance(species,str):
+        if isinstance(species, str):
             spec_name = species
         else:
             spec_name = species.name
@@ -497,11 +497,13 @@ 
    Source code for spatialpy.core.result
             :param deterministic: Whether or not to plot the data as deterministic
         :type deterministic: bool
 
-        :param width: Width in pixels of output plot box
-        :type width: int (default 500)
+        :param width: Width in pixels of output plot box or for matplotlib inches of output plot box. \
+        Defaults to 500 (Plotly) or 6.4 (MatPlotLib)
+        :type width: int
 
-        :param height: Height in pixels of output plot box
-        :type height: int (default 500)
+        :param height: Height in pixels of output plot box or for matplotlib inches of output plot box. \
+        Defaults to 500 (Plotly) or 4.8 (MatPlotLib)
+        :type height: int
 
         :param colormap: colormap to use.  Plotly specification, valid values: "Plotly3","Jet","Blues","YlOrRd",
                 "PuRd","BuGn","YlOrBr","PuBuGn","BuPu","YlGnBu", "PuBu","GnBu","YlGn","Greens","Reds",
@@ -543,7 +545,7 @@ 
    Source code for spatialpy.core.result
             :returns: A dictionary containing data for a plotly figure of species output trajectory
         :rtype: dict
 
-        :raises ResultsError: unable to plot species for given time
+        :raises ResultError: unable to plot species for given time
         """
         time_index_list = self.get_timespan()
 
@@ -687,7 +689,7 @@ 
    Source code for spatialpy.core.result
             :returns: a numpy array of target property values across timepoints, defaults to all timepoints.
         :rtype: numpy.ndarray
 
-        :raises ResultsError: Could not get data for given timepoints.
+        :raises ResultError: Could not get data for given timepoints.
         """
 
         l_time = len(self.get_timespan()) - 1
@@ -739,11 +741,13 @@ 
    Source code for spatialpy.core.result
             :param p_ndx: The property index of the results to be plotted
         :type p_ndx: int
 
-        :param width: Width in pixels of output plot box or for matplotlib inches of output plot box
-        :type width: int (default 500)
+        :param width: Width in pixels of output plot box or for matplotlib inches of output plot box. \
+        Defaults to 500 (Plotly) or 6.4 (MatPlotLib)
+        :type width: int
 
-        :param height: Height in pixels of output plot box or for matplotlib inches of output plot box
-        :type height: int (default 500)
+        :param height: Height in pixels of output plot box or for matplotlib inches of output plot box. \
+        Defaults to 500 (Plotly) or 4.8 (MatPlotLib)
+        :type height: int
 
         :param colormap: colormap to use.  Plotly specification, valid values: "Plotly3","Jet","Blues","YlOrRd",
                 "PuRd","BuGn","YlOrBr","PuBuGn","BuPu","YlGnBu", "PuBu","GnBu","YlGn","Greens","Reds",
@@ -935,9 +939,9 @@ 
    Source code for spatialpy.core.result
             The columns of modelname_mesh.csv are: 'Voxel ID', 'X', 'Y', 'Z', 'Type', 'Volume', 'Mass', 'Viscosity'
         The columns of modelname_species_S.csv: 'Time', 'Voxel 0', Voxel 1', ... 'Voxel N'.
 
-        :type folder_name: str (default current working directory)
-        :param folder_name: A path where the vtk files will be written, created if non-existant.
-        If no path is provided current working directory is used.
+        :type folder_name: str
+        :param folder_name: A path where the vtk files will be written, created if non-existant. \
+        Defaults current working directory
         """
         if not folder_name:
             folder_name = os.path.abspath(os.getcwd())
@@ -966,13 +970,13 @@ 
    Source code for spatialpy.core.result
                     for voxel in range(num_vox):
                     writer.writerow([voxel] + data[:,voxel].tolist())
    
 
-
    [docs]    def export_to_vtk(self, timespan, folder_name=None):
+    def __export_to_vtk(self, timespan, folder_name=None):
         """
         Write the trajectory to a collection of vtk files.
         The exported data is #molecules/volume, where the volume unit is implicit from the mesh dimension.
         Not currently implemented.
         """
-        raise ResultError("Not implemented.")
    
+        raise ResultError("Not implemented.")
    
 
    
 
           
    
diff --git a/docs/build/html/classes/spatialpy.core.html b/docs/build/html/classes/spatialpy.core.html
index ab866213..a42f0c99 100644
--- a/docs/build/html/classes/spatialpy.core.html
+++ b/docs/build/html/classes/spatialpy.core.html
@@ -1613,18 +1613,9 @@ 
    Submodules
 
    Parameters
    
-
    folder_name (str (default current working directory)) – A path where the vtk files will be written, created if non-existant.
    
+
    folder_name (str) – A path where the vtk files will be written, created if non-existant.         Defaults current working directory
    
 
    
 
-
    If no path is provided current working directory is used.
    
-
-
-
    
-
    
-export_to_vtk(timespan, folder_name=None)[source]
    
-
    Write the trajectory to a collection of vtk files.
-The exported data is #molecules/volume, where the volume unit is implicit from the mesh dimension.
-Not currently implemented.
    
 
    
 
 
    
@@ -1652,7 +1643,7 @@ 
    Submodules
    numpy.ndarray
    
 
 
    Raises
    
-
    ResultsError – Could not get data for given timepoints.
    
+
    ResultError – Could not get data for given timepoints.
    
 
    
 
    
 
@@ -1665,17 +1656,17 @@ 
    Submodules
 
    Parameters
    
 
      
-
    • species (str | dict) – A species in string or dictionary form to retreive information about
      • 
-
    • timepoints (int (default None)) – A time point where the information should be retreived from.
+
    • species (str | spatialpy.core.species.Species) – A species in string or dictionary form to retreive information about
      • 
+
    • timepoints (int) – A time point where the information should be retreived from.
 If ‘timepoints’ is None (default), a matrix of dimension:
 (number of timepoints) x (number of voxels) is returned.
 If an integer value is given, that value is used to index into the timespan, and that time point is returned
-as a 1D array with size (number of voxel).
      • 
-
    • concentration (bool (default False)) – Whether or not the species is a concentration (True) or population (False)
+as a 1D array with size (number of voxel).  Defaults to None
      • 
+
    • concentration (bool) – Whether or not the species is a concentration (True) or population (False)
 If concentration is False (default), the integer, raw, trajectory data is returned.
-If set to True, the concentration (=copy_number/volume) is returned.
      • 
-
    • deterministic (bool (default False)) – Whether or not the species is deterministic (True) or stochastic (False)
      • 
-
    • debug (bool (default False)) – Whether or not debug information should be printed
      • 
+If set to True, the concentration (=copy_number/volume) is returned.  Defaults to False
      
+
    • deterministic (bool) – Whether or not the species is deterministic (True) or stochastic (False).  Defaults to False
      • 
+
    • debug (bool) – Whether or not debug information should be printed. Defaults to False
      • 
 
    
 
    
 
    Returns
    
@@ -1716,8 +1707,8 @@ 
    Submodules
    dict
    
 
 
    Raises
    
-
    ResultsError – unable to plot species for given time
    
+
    ResultError – unable to plot species for given time
    
 
    
 
 
@@ -4143,18 +4134,9 @@ 
    Submodules
 
    Parameters
    
-
    folder_name (str (default current working directory)) – A path where the vtk files will be written, created if non-existant.
    
+
    folder_name (str) – A path where the vtk files will be written, created if non-existant.         Defaults current working directory
    
 
    
 
-
    If no path is provided current working directory is used.
    
-
-
-
    
-
    
-export_to_vtk(timespan, folder_name=None)[source]
    
-
    Write the trajectory to a collection of vtk files.
-The exported data is #molecules/volume, where the volume unit is implicit from the mesh dimension.
-Not currently implemented.
    
 
    
 
 
    
@@ -4182,7 +4164,7 @@ 
    Submodules
    numpy.ndarray
    
 
 
    Raises
    
-
    ResultsError – Could not get data for given timepoints.
    
+
    ResultError – Could not get data for given timepoints.
    
 
    
 
    
 
@@ -4195,17 +4177,17 @@ 
    Submodules
 
    Parameters
    
 
      
-
    • species (str | dict) – A species in string or dictionary form to retreive information about
      • 
-
    • timepoints (int (default None)) – A time point where the information should be retreived from.
+
    • species (str | spatialpy.core.species.Species) – A species in string or dictionary form to retreive information about
      • 
+
    • timepoints (int) – A time point where the information should be retreived from.
 If ‘timepoints’ is None (default), a matrix of dimension:
 (number of timepoints) x (number of voxels) is returned.
 If an integer value is given, that value is used to index into the timespan, and that time point is returned
-as a 1D array with size (number of voxel).
      • 
-
    • concentration (bool (default False)) – Whether or not the species is a concentration (True) or population (False)
+as a 1D array with size (number of voxel).  Defaults to None
      • 
+
    • concentration (bool) – Whether or not the species is a concentration (True) or population (False)
 If concentration is False (default), the integer, raw, trajectory data is returned.
-If set to True, the concentration (=copy_number/volume) is returned.
      • 
-
    • deterministic (bool (default False)) – Whether or not the species is deterministic (True) or stochastic (False)
      • 
-
    • debug (bool (default False)) – Whether or not debug information should be printed
      • 
+If set to True, the concentration (=copy_number/volume) is returned.  Defaults to False
      
+
    • deterministic (bool) – Whether or not the species is deterministic (True) or stochastic (False).  Defaults to False
      • 
+
    • debug (bool) – Whether or not debug information should be printed. Defaults to False
      • 
 
    
 
    
 
    Returns
    
@@ -4246,8 +4228,8 @@ 
    Submodules
    dict
    
 
 
    Raises
    
-
    ResultsError – unable to plot species for given time
    
+
    ResultError – unable to plot species for given time
    
 
    
 
 
diff --git a/docs/build/html/genindex.html b/docs/build/html/genindex.html
index f9cb72e9..61d2a048 100644
--- a/docs/build/html/genindex.html
+++ b/docs/build/html/genindex.html
@@ -400,12 +400,6 @@ 
    E
    
 
       
-      
  • export_to_vtk() (spatialpy.core.Result method)
-
-      
    • 
   
diff --git a/docs/build/html/objects.inv b/docs/build/html/objects.inv
index c3897c0fa95ec038fff7021e286642bd1aadde9a..f335ae26546f40e1c8858cf9394845d73fa8c58f 100644
GIT binary patch
delta 2303
zcmVNiyX
zM@wQD;qsVdLeXSr3jVLrXMM!|9WzuJA-J{|iw!GDZRb|@fN_7PGiI+e-$`C_qbN=O
zc=%#pZnea`e6cBll=Aj
zfA{aJp;vA`mE|HKc_*qeC+hfKlsR+WbE@Bb^Cmz&iIaNkL>tJ^L(36-7ZiO}n(hTh
z@VKxynRIW1DStg6fTEC$)6_bygy4kAU0|jfK~vN<-A@l`-t{d8`7;oiGi^wj(R4%2
zcS_6jr@DJs25EyW<2?P&%r2G0K{<$8=IN#hG~U}`*c|}$OpPxdE1&I~0|@E+Jk{)P
z3L=(OVTbmCat#8Sqoiq0w;&uQ?65)#WzvG`9TTb8{C|&Ti0CM}@D)Zho*meETIgMB
zM+`;rv=P}(Yh17xP<6FwJQ7*vL&58w0`Ro;AgP3O;SAA9h{yczRM-CS+
z9Ku<~D^l(o0rq`W+D9v8&%2FKL2;)c=60>&FvJ+eHkF|_lO~q@!KftLF`g@0dq@*+
zj{vNeoS7KRG-m~bd%mF&O2W2fM`if|25hIF;m%lqFy!E$lm7xbf6@KXdRfQ>u)e?E
zdFmGBS%2DaYXwhS_XJG0y&XURGI&vRVlh7*LD$-P46zidFgUxu0=A!)Gz(l-c^GOF
z&(rKb+hS=QquS=vP;A?bSSqYJ8z#_q8Y0ep8X&C7ZmS60;Vl!`+bt4WZ?}a9E~7(2
z%Lw#Ehr>Cdqrqybf2gKvPxG|2l?|OnHpmK4Nlo0->2ErEik^yz!gt+_M>m}W1G}wi
zW>JPp1kRPtJ^pvL1+q5&1owVjLP-EFP|4h#8`Z5RNk)T-i2asHkwyq5$?Ww6
zLLO19trEoxJ!%w>8Ct+#$buDOPg5gOTIMLE6cUJXEr-I{7$}m{EvdLc5&bwt(e{K_
zVbSub|KPrHfRj%IJAcgxzquzJz{#uJDYOlancjz0uI4?TPB)Jr9AGNkqamg*4X!?F
z2UfP`;cD9)i-&DrcoxEA*O{GqQUwf?7l`43a?J`SFar(M6YY!jJyDrZ-pNC5Z8%S;
z7aTd;ZYw9ROfx~ZTV^kWMc@XGXt}Q?+X__xUFHHY+-1If`G3QP_dIA$(lPv=j8f!S
zFODGPIx#hl=k{d6g>FM8l2?boP#w?-=f;bp!8!#oNIKYu&j?(5Rx&&^2vdlkF`=6A
zSI|K!a<`H%D+y?khSa{Mn~HJoskP^KXG*sgu>-pgV{lbHFNi_5OJRw_!dn*IqWG4C
zwcun<(Lctx?SI|D8EM$a>Elot7#EqL=@`A!+`w9U?Pzd1#(;y#$`~SH$r&RoEJtI+
z1)cJasgR6~5fqrXF-iUzPmYwvF*E|s<`~1VNgWgP9gc@g@i-@gGCj`0n1qjWE+X&a
zoC*zW=q!*S9g_?)WWsVnCa}2FkQq2GLuA4TB2i?B#ee0CJomCZ0_P(w3XwT-#sZ`X
zoH4_4Nv3cyN(smaxyX!BUOMJAxU?${UqwZqY8!qw~-;1C7z1va>uk^1%tF51y>
zTK7H`t9YLx!#x71ejj6D8u%%2g!00D7p00HGr@I-D&z;?3RdlCYWZm+K+XKL0hn@r
zfJf=)2T-(%z7I!;(fT~3qTX{Gec;;dovqhl(|_<`fC-z5cPxk+co3z+3f7_!YTGjw
zN_IO9M(A%R$N(YkITfSGRh^19xYujRWw0uDz`==ghgg(G_nZoNGM_^cL2^ii33n&3
z@FsxBc)LGoD-jEH_#rUP?`w{1pnuzPjEDW2)(DLJ>8KGp#t#mSOu!QBMqFqD&WMdn
zw0}55qxA42FjjMZ5ss0dkMTIk_lOKt%3fk)gtPs?9~xV|JU?9MKO)5u{O`?+>ZI?1
zRqt33LHz^`D6OBR>lkE=-2M_h4jCfBp8^BK_*(FNyGeQ3Z<}w;xNiFmuQeWN&0~O*
zckYA7fuYM|WMJnu1IahL*2?QA$Ty~$xdV3OACnLWHGiKA?rNIJC9TP$HM7JBFNjRt
zE&yo)T4ZyrskBKenBPT4SloLLTEbat1@?xM?1eLJmNNL-t?pY4zL(Ojtm~A62#>oy
z-TiT@*%w7h?Zh;1W;XJJZcv7L-_WSoW}3Of)n9-C8TuTfLZ`lp=$8{l>;$@g7pb47
zEXMPSDSvDJM^LkRUcq#fN6%%mTs*Uk@I`G#eCSOXZ3bVSFKRDV_?od8Yi2%U@_0SV
z3~Mpc?0?2!wE6y=%~HSOEEH?>f$bNy_sBVunl0--kAE#{?sv1WxyMEA{nspPZrSR6
zy#6zGSc8#P_VWhcB-nfsX5pdusVWw=_aweAYJYESmYq+ntIeYJzAkPs+CJCGra#ct
z_;u7%y@?fZp*AuQb%i@^3$e)cudtI6|C+2jYEYXGXl*J5s?II;x=eTu>64nTwV(gi
zT>CZOXp^M9^ehrKInig;qyxSKpM7PeP5w(Rvg!Xx+1C{lUGx
zJAJLO+55(W$f|;trarJ(ZG~E`y~U^F>c`}VJL@15R^;)%z2Gq)y}x;Ty{lJl^AT!z
Zx28m8yWx%gGk?$8Uw?9K@PF6rlBHJNbH4xp

delta 2313
zcmV+k3HJ816uuOYv3~=A2M4$RD4F1#W`>DUC!bYL70n-5W>)g}OU8-TtNR~U^&6`H
zqa`tnaCuBJp=h!*1^?IRvp(Yfjv1_iUWJ}M=YBho`g
zWnJoj41FMm{8p7&V4eGzq#!b+o_!XiilQJasB$$RA$guk!AcWUInT-n&niv~P4|K$
zcwE?X=)u;LU2OmE-+J#pegE_?x%+|@189N`7;oiGi^wj(R4%2
zcS_6jr~2`*4AKT$#(DaknO!Q0gK`kH%+pO1XuP+>usZg1ladgX@^$Io_8Ceg5pj?%_@_4A@RT!=14JVaUOclm7xbf8PDkdRfQ>u)e?E
zdFmGBS%2DaYXwhSHv*>H-VPuD8N4Vuv6!EZplfYChFA(!7@S>S0ozYYnguSaJPfso
z=V|tzZLzeDQEl^SD7I}zEEU$A4HM`)4H4%)4G>mkw^f9G;4KsQv|A*!-fjyITt
    *Y8lA5^D>2Eq3MNh><;k(C-M>h`%26kK3
z%%TjH2%IaO8~%5;1+q5&1V8<{gpvSUppv;eH>z7tl8gou5&JEZB8?DAlG*iXP>dPC
zggl~HTP2DYdekT$GqixgkOeEmo~A~mw9HXRDI^f(S`LM?7*QmrTT*d@BKm%cqU{N<
z!lLC2>9q6+!U3k%JsM&<
z)Zpr)dtha29sz&f*2S*n0x_X06I@UB_m1Z$wKf1-V{z9%XZ$~$?;
ztqtc1^#Uem+im6KnrSBJcFXLAu!!Ek5iR$%WLu#Mpvzn!hJU-vw=aL#;UW*3<8%za
z$DfFr9h@=4a#N;oF-i%@FuBN#QC>jK$welhyzUq%Erp>QAzsp=Q9<9nB5ID6kXs{T
zBr;*QBt@Kv2EH~6X7lFML~?|_37`(DBZYJP`Ul=SzU3K;Ou
zp@`T!q{8&T6Igf?K-9tApR`q;1@@yMFwW0_j%=WRf^&?A{pi;SjQoYG5jw{2B8^PI
z@_+wETxg!qh>gq#IYXml_9HM>%6<`!QMQlqI3@Xr3>DyBVq^5U{lFg@TfOQ(Jbz$B
zijzlR=O(IC)CX3*V?lKK6EvV=f0nLekTEL$OY}Hoh_ZhQ4AA&%!T0Un=ViZbzBS{z
z?KixHc_d+v0Z!hz4;}}GF87gvo!bl~-wo^%F0V(BZ%i|DO-T@w1_(8O#|3va&E%5S
zXP9rSty$3DfthKOv!%6nSnKnxqeC-bUEe799
zX;;>DCPRebu1|M=oND$(ky1O2&YPKyJkSlwQ12TW728ZRcewgPH6TNuV^rw$tRnj5
zgb_P|uHQv^PE!`+dBv1}HUC?!Sv{{{I?B*<*(?{&EF*kTn-K@SDWgs2%kxF;#R^|D
z7GurKXG|WiC$C{GMwqXGpR-x&R~)fojXtpbqV^s+XHv6e-RJSIMa}(g7B=^|
zsJ;K1h0QHny^q&_Z4YZO(#n3`;F|=SPr@wR6+czQqV}G|_eJf0t?q^8u~R&_LC>#a>q*
z&mn!T^tJZ$-hJ#G-rk+Q*4XTQ<3VIqK}%B~Sgf`}t=8V+({c4<^242VkO?dDc;8;|n2+Ay
jyuIGlE4TRwHN0C>qO#raM*o?=XYH>)xi
Date: Wed, 2 Mar 2022 11:48:05 -0500
Subject: [PATCH 19/30] Updated docs for species.

---
 spatialpy/core/species.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/spatialpy/core/species.py b/spatialpy/core/species.py
index 11a63b53..c1f03142 100644
--- a/spatialpy/core/species.py
+++ b/spatialpy/core/species.py
@@ -28,7 +28,7 @@ class Species():
     :param diffusion_coefficient: Non-constant coefficient of diffusion for Species.
     :type diffusion_coefficient: float
 
-    :param restrict_to: Set the diffusion coefficient to zero for 'species' in all types not in 'listOfTypes'.
+    :param restrict_to: Set the diffusion coefficient to zero for 'species' in all types not in 'listOfTypes'. \
     This effectively restricts the movement of 'species' to the types specified in 'listOfTypes'.
     :type restrict_to: int, str, list of ints or list of strs
     """
@@ -71,7 +71,7 @@ def set_diffusion_coefficient(self, diffusion_coefficient):
         :param diffusion_coefficient: Non-constant coefficient of diffusion for Species.
         :type diffusion_coefficient: float
 
-        :raises SpeciesError: If diffusion_coefficient is negative.
+        :raises SpeciesError: If diffusion_coefficient is negative or not a valid type.
         """
         if not (isinstance(diffusion_coefficient, (Parameter, float, int)) or \
                             type(diffusion_coefficient).__name__ == 'Parameter'):

From 93511d476de4402bbc9d5cae8a2eca20a11e073f Mon Sep 17 00:00:00 2001
From: Bryan Rumsey 
Date: Wed, 2 Mar 2022 11:50:49 -0500
Subject: [PATCH 20/30] Updated docs html files.

---
 .../.doctrees/classes/spatialpy.core.doctree  | Bin 1446171 -> 1448363 bytes
 docs/build/html/.doctrees/environment.pickle  | Bin 452444 -> 452466 bytes
 .../html/_modules/spatialpy/core/species.html |   4 ++--
 docs/build/html/classes/spatialpy.core.html   |  12 ++++--------
 4 files changed, 6 insertions(+), 10 deletions(-)

diff --git a/docs/build/html/.doctrees/classes/spatialpy.core.doctree b/docs/build/html/.doctrees/classes/spatialpy.core.doctree
index 4e2cff48587a27bda8d8722f798f1eec70b92cac..426c00af159c036612e9d66115d5137a0a593398 100644
GIT binary patch
delta 139300
zcmbTfcVJaT^FPe)O}Xb5(nGnaw2(?d6+}oVg7i=XMM|Uy7m&oRAOb2Xpd?&iZ3w9N
zJSqyo0-_?QC`e006a*mw5k)Bx3n<9@nb~t25BSad;}16HoSoUv&dkov&h9z)xfh4M
z{?@RWkBCR)BbG-(9tnLU?2+(Ctc#2qYn?ix4*l~SytBSq9uXS8uD&q#CW$j@-g{x!
zsEf(QjiD*@PyNuy7@-EG7_&V421To%QjADdk!7T++%l0YTC0*QBil2&Te!^I?hzL=
zRj(wYg>1WBO-nM;q-(p1`Y^18=;N>E+V0uhznd80zjJc{;i$_9@Ag+?!lvp>S+t=Z
zERAk1=J=mI9Khmn&BEf^UPpEOpl(a?g1?@hN1j;izr8AeyxfPtvw1*$>Tir1Ff=S)
zok%gF#a4AO#TaQyW=>;coEn~L*v0zG1-9)s5VFY*PkCZ{nX*Hzh!WW{VTWh)+H9w>qfVU(2@@<665XyHp2B4}snX^~Ur>2!
zerg~?b||sP($q6xaU|}Dd+C-oK+T<$Q?Kb)o#m&GnMh7ntr
z`$jZ2QRb=<8HSRBcBrCPLnp~eJ5=E^*~*web*NcYW|hs<@D;JI%b9pK+tNx--{Gko
z)BuIb`&0~+i+6Zdyw^%D+@Wgvgx;K~K91ki7@GSPT%dih
zflP_pte(v*(|6QSuf7!fC|#G`kSp&;@9K(lIRRyVnJ&leP@CTi=`AZvfIEW#iW}5~
zm9ed3Ql{RKa{JV~Qi@XUDVjWSY|35t7ps~PB3F<2uQnAD`%LmeX@(9=ju^cR=gCN6#p7^S{KdCWLia(%C2yT~*;^BU3%u*?3%jhN=%(TZ>(q
zW$t!MJ@J{Em2YIqk9Vpy?y#QJ?T+g7{@5theNtGYO1T(oQzHtDJaLq1JZqLVaehpF
z&_njfPEYxvIQ87Ov6-UA1R5#Qf~%<1ypVX6b0GG9)u^YD3W%T*X&ZWJ``=_
zFq7~aAECHJ9c!j4?v~bIIB+ugYQan+)8an6Q{2DyTiVMNyVRzYqP1hrF7RZ30R+kCEiSb@HM+AF{)2rCtC&muXr%I$5#~T$v$@B1
zv3acf@kng45F1oYFXL7D2}IG)ny!kUF%0JxRQ4Lk2F+u@DMvRyXZaWe_=sB`-lcuu
zLE=t*QhD3L`l{)D4Y&LY&&UV;|sr(Nt
zR@rSgqv*C67WE5)3K;s^|B$r%(*1Du4
zD1iJkrB*ubRr%Hzy7sZ!+i;aKRZaoEl0VJ3L*8#aXp0@4wT4$D8Hq>Y(*X?G@TnmW@
zT4s1-vPf;4=RoeA4Yv_1ZJTd{6=uU3!;EW7F
zQK9F>1{K;S;;D9`d)sb3FZMed+ec-NMiew^wxy}es9=3$R47p<`pK>pJTvB3=$WxQ
zXah~64qcm;9%K?=Ls~#VS^&4sw-{M;Nm@t)bD9|AQPRX1Q=y_hwe*!UOoY>d5ia{9
z_7=GSbq<8*%K0YkG(YXE+r$w0hDrNcFm0!Eu^r^cpzUXc8>vvK2ST#d?prNUuB$@d
zSfR>qmklM#>eoV=s9xt|W97ae7CEZ)C;9Iz(6Lm{rdvYg`_M{_kpV4u`^xj6sNi|<
z?I7czc@Q9Z9vnuZ<$2IviNAOrv{&+k$Hw@#?5ZBS)wqu?#290?Xriho8{K3|rCL!M
z!mhqR?fyH~s`4+!c5$YFiD`u`E7=NnUyL1&+H8QX%BvgT4WRTIU`yhn4KNX0V1PUR
ziS2J4O1E9^A%uYE-dN?dSlHuf3|37u5ZLYr9Vgso#a~4|<2IsAbhoTzb6osJ+&D2!
zKVD-EiM?qo5_g$nbZn&}m5XNrxGeE;DJlxRS-fd-ka0IREX1QL+URR4-;J35
zKV}O{d@YEv^k;?~Sjjp{B;I;Lgy={|AD|x;t9(GLSw~0cFV@kK%X9=6GLv*vb0REL
zJviAIBmO3E-Q=I>@etz)wPuRZ&-tgn4dcroClR3%j5xbme=j`jpITeL{)@I!zVvI$
zz~82}e$(1Yu*UVU=Fn}IJ4;1PH`3MU6(Lpym$6W$f2p-opdW0Ci?SP?sBWU$_)jAw9bpJvOO)Zt9U0dEwRtdY`||38=}++R4yG#N
zrw7J%@WWtw@IIrfHFOWF$D(RxV?rLVBvg;3s;IdBvd$i@qWbi(wGl^E6Wvv&cK(Wv
z>w$#=(~;|Gwnu9x4kc+PdXLsl4^7?8M~yL)roNkIv=X<_qjZ(~yS!HQJrEM(x%ie+&a?C77g!vZuRFmCi8iOJ*8foGYnUT1)Hpct_IBVkN<8D3|ZK
zx^8xX(yNU~M*E
z@|9OLSt?>K7Ph0l;<0lx1ah@VXgSEe`Y9n+T0ggd74-AVT%(=wCf#vebICASS&=Q
z#{Z4mTJjg@FP8iTzvT16Ls~dL3R;qp-kR)IGcOp4@l6mvXli4xm)h8?^@f%2iVxWL$GZHO9xR$o;=hhqI?>aX*Il@n6?&AtFo7{
zUR?f^HPo?)kg+D_FZ87T(#bO=a=6;`PHcgAhbkxXGT2|q{q|m72G3h+Tq{1|8XWpN
zgQ}>q)gn%1zhE2?`&H@+BS}>iiv+oMFRg^dak|xkuCNdmzpJtpMxoeCm~vogvtC0|
zZe6_WEb6MwD~%4qhL9ak66h*v;jsj1`<)Wpai1o>OB2uW5#ObW7x{^CCxE!`T_Ao#6Thm7u{ttQzp9D1
z`H68SfOu*mx_m?vAJW8Ue8h(|@jrfI+zBB5?!QJ)S??QmG%??BzM<(iI^Tdx$~Uz7
zM&}!1R9?AP&QoL`P0~}7+-#EIvZi5-N|@?QkrPb1o&j_*YQ!p|yPTzoAJoJPOk!M8
zdrM8a2ZQJmzKQB0-_>+$HQlEs9WIIPOOtMG5Z#Qu(Ou-vn(nx!J8#nAlFTSvt#}{S
zTAb1v_GNYv7L}&*KaaFJd`3?8OG%LfSCDHIR-UM-`#E>djU`1jNh%3>9))5Cf>Q82Qr_xwxc^3
zr>f-rxW?-~TxYy4th05knX2X!BU_zW8yD`pPxA{0@$`MF{5{M+OZIt;7JaNsbmgas
zWuCVlCF~aM<2*o_IokS#`Zinvh7DWR*8B
zWURbyzn)h+P!ox;Kb?M>`H4|1hv6C0Phzkt+l7E^Fq)?n{FMEiXmIb>xu>b142*>W
zt%@fGZwh{}D%gRQ(ct}@Xh6}aQxi|!Ya>11^|X5)>=cc^W6)OdHlvU9P#allO_dQ&
z1eA&>q^_pRe)}mq<;m(;EZ;Wqt5pOT#WSGif>@=#R(x+@hxX)?BBBBuVl3?$XucBRa=b=5
z-bDJ4AL;ZUq_b*^6bvb=go2Qw$n8EBg+}(WMuxkDY)lX`b$zke5`b*8Mz+~R_N^b;
zH$lh_))pBU5;7D(CN`^6UmHzLGt9+Zjqs92h)RTTV-Ui~Ud1xyfL;|O9AFJ69MD6f
z%>f=7Ee`~0x7~qSY8T81848jac%J^+7)vFoQ{GIx%^`s*gsTBs_v`eDzIVxKCa!xm
zu6qyY++eB3^<*HftcA73b?<>XYR2fuT=`$k2F$UKD&Nyr?*=l>e82WgxwGI!odwW}
z1IXi`I&;$SB#K_?mh^tzU*z`5vFRQOQ2RkJk@PRGnWDR@7nm
z7X#sYMhx2}OBj7CIYq-qfh512qtQPcg#Pi`q6ZT~KSiUTa!?BwCG|obK4zrL*8^})
zIrvt|@J50lkXgBb#BWxyBg$l@iE*dKxbvVk_a8LKqk$l^eylCXod@+Ux%@}70rSoM
zo2t>DipDbHJ64|Ky8z{7M15CFy+dpt3M}dOJ&UdQ(j4_@r3CLY&jkTwWj>&Y{8&Lse@H=pHkS^O{
z+NN!jc8CwLZ8Gs!<1YNot1-_l6GqEZ-|0lb3AOsH@r&~WFquo?3&6iD-*c^dl05Mp
zhor~8(;;caZ&CFcA&Ax6ATfvhi~kEmt{4BuLH=->=jKUI7^$d%z$Ez)ul+pO2Bi1~slIXsm#5v;|+5M2-Qs{C>cP0-drO9#*ahgnyF{wreP^EchPHidg
z17$yJYn5LTo~s)EVvlmUP{$kf2E`|L9nxvC60?!fx{YF8OI&*eBNKmx!pMx$@=4=i%$O)TO^cSZMRvpp{e@LFw24z7@0HU6~U#AUb
zQ{bZ0qdw~QOln$1)8>NXB2r7ZNWNsesQ$TVxa8JD>hyB!B>5!-gr&9o_K>IG&P0_z
z(HW0>o|-o^#BP;z$@pHLKBOw&wB$Q>gS)BdQ;P@K;)%sW)2%J!MTiB*N1TBb4)H1_
z|3PaWRijl3*g+HxEtW*ixO1T5ou})}Au^
zu$r~dS|D2-4%nj2JgiqK?GN)R#hG~6tFNtx>ZqdK(H&L)nbv2C6Ko(=2k5;~$+WZN
z!@N*YFNNBkFb30omwVu09XW5OPHJ;ZKD=bMHQTu(pxcK$l3_1&SHFM
zv)v*;MO7T=*>sqf)?XghOKV)xlC|nEFRke*mgMq-!<^s?Ziv>LXB@T`a?N4A=6ndW
zSaUuA8T+)kMm_JeDLMVHZ`CPds`OTSQWbBtr&I;#F`-K9F{4VaHtSY-^@v7zwYl+~
z`NYAm#g3?Aswc8aYw`U^+x8a<@acU+HonBt$2PJ~Ux&2!iR!`e32lYoh$JiYGgTj?qD(Z)%Hc
z7wC~=#$l38^=v~?5ExZ8I4n$^+PxZ%d8@JOPmwPfAGtBJ$G)?YHAyYE1`6y`ue4<+K$2UKs``z?NV81<8+nUk3}KIS)QyGScg8$E+ZwCB$gt&-=kEBhb-jH5h@LUG9MRr;=MkUx#(ESY%ak7To2oIJIATO_{HQonL9wMrs
zrR{0?(Gmar8Fw^b{!BT_^Cu4LY`)HxsFQq2N449{I;yA7$fI8S1y?KJT
zi>J^LM}wx&jYufd6#7YPTTkznfT!2NH|0I(80`qmFgu3xakxiei@f8gr|i4=JZlOM
zKjuAvI|!*(!@{GOI6H_HnwC!fID?+@#OWD$csULPL2hRD|E;6!-f%Xz=vrHhr?{#;
zLK^?$?Lm)KsbO!AOs@a=(V*v^L)Goo*v=Sc#WmrHII>53YnpYTtoOZ6gnzFS;oqBy
z@bA^q9kx8#>U%w1$9&HjbQ4bg_w8gKP1jS?-E7j~GU-?gIl&~uB_-ZXvLnaZ%UPQ2
zK~1*6B*P`=!A&w;29V7?-c!D-$<}JJPfaphavIzu!zINOtB+UUJjM}4^f7-#fgP6>g%n0zZ)qqK
zj_IhP&M~ifqalteQhs?rf{Wj-b5O;!Sb0oG73tU8jvDRgzRTU_n4W4%zr(@5NVja|
zDL!SD@))1a>vc@~)gDwg(Y^2}r$;?gPv0lU9aBYJLRyPsJew4uMLLD`0O;OpCGI7t
znF}}MW=dfUdy
zw}6l4wAC8L>SKCN+p19@k5*{Qk_(RUxx6oGiv(Pv9uqmTin)NdDw~a&?Tlu6(#urk
z4YFP5x@vzww&F99gRPIEVYb$UkfJ9P=pO8|#b8^yTHW8)l5SBKSN%^HJ@x+_N5}k!
zfIRmH60^uvn}^s2A+
zMTzEpdjN0lX~V1bl$o^^qs59hTGDBTjdV6-AwqYli9>I!>dC35ZgFxWO4_~
zbqC9J2fxrDJ`VuFY3v=f?O=I82ajlA
zW&{KUjk6tUMv?6{x*{Cg0&p}^<8QUyFB5;%4y3`4td#~oY6sHtM-GZx{1~W})<4!#
zE8xPRaWBn1uV*{8xA^QnPve$>mNJwK|7DA8M<{gG$))95P>
z69`pMY@=fVmeW7hQPra(vamlyx9DI1jvbZVV@va#X%H?!Ubqt;Y5io|wW2vy=^&f@
z#5~%1dCrG62lO~?zBfg1?Y9V1-w(FHscBE7-eE_*bxB5(ga)fA}MZF<&Q%yN%hXg4kl_300y(rv_M0&i%G9
z`QQn?T3viXM;8mJcA^^)==BreA3#BV06ddt*>0yxG%qrVrw*6ID+Hpksyo}}mJgXorfDS8OeBjmlCmHqOKOV*
z%m@hzLIR$rGK8Bh3CVr`i)4SMm@RjhNVaMuC@3{mt$`pV>laDZ(b@vp`m?!DcU~(9
zOgHy$rXrsbNz(QU>n!{izov6C9lz94*u)84+zQYVFH-!hidu-7xa2Nw`QI)+^@MGr
z?DC6Nd#7Jm?VWznY9FeR3=TqaQ*Due86iPI!UoSNEyZ1;lPX+{wbQk~_^ht6dTPGy
zUb(=;Fi&Hc_lw>ed|6{y5rpBD+F}4R!hnJ>fam>f#7r?yV|Y9e!vk%_%_{#{kth$E
zK=x@M`%Gb+(LhcH0r|DIK){TEpa2lDPi-u-Ek?nz*lXe_Uub(06H4WBBnZwd#{}Bs
zB&(yzNmhrrPCuf#6-R%{m47I9K3Pla07rs>g5&|lRf}xJbV&msm3W#fmsjBTXiw@T
zIBCjaEksFKtOX}HNs8!WVkwI^j^AT%_@qX}laS%slDC$BC;4PjKSu!@yaC6Ib7&0~KM(apZnEPO5*fT@DsQE2GSWjpjpXgGBHVbJXcFB(!RGi+A2ABSHJ-PYTTjt|!e&?bE4D!b
zN#<8^^Ux`MI_fCs0%zzK==w@C^j4Mns&_^Dm*%nc6wlH)Vw(C6wioDyzwpx>kpFSY
zmsW20?;KlT0Q#tblm;sJk{efBUq!^Xl|-rcF1A3LG%VjnNyD=I6epL(0Op`(W?QUA
z-_t>I=<~X5D;Cgbp+$(xJ@T|pG51w9>#@oOJ-_|)PyqdOAAQ~%w$Wk{JxZq){2!+R
z(#u!vQ|W0{Jxtb@RMHz?qlbtn@mc^ApIlu3!h@wydYb%`eA2``-G`aqiC9KrY3&?H
zYWEr-4|U+I{@X~7BR%p^uR@RXaHs+(y!*_iPeXnE8r!YDad3UPZMZm3NE6kjtkC8N
z{!^cj)78|Q!~o~-Bo*CEIF8k>#WvgTr+J*80X*+G53um0GkyyX$KR%f|9YB2&~=XC
z_&$O)i|)JJ8LILlTMISd9orK!?Tr7Oht8^cqph{kk!mHn(JUMGTO-60F_a#e%k{x$
z$dJwV9&SSAKx=MB*H^OU0cW&_MH#i;Hd_uj!@}-+MjJ>+Rq!zkq&;}kSp>kMWB0!X
zN`Zwv`HbEWm`v@kw4bHF*!etrCRo}z8*HO}(*Cwc3=?lrH?-HWtUgmm<$Ms?gGPB<
zwP2iZs5x)TC{;XD<~s4vEB?&@K1M8&tIx3bUjtyT_ygSRJ`i{v%w{6i4rY}q_|SI0
z^#{7+a(}M{Kcjnifv?plS&c5yi*@I<`2V1~iEcE@;-55L%%>yeJAj*Cstd2t62ptT
zB(bw+^pJuJrz$*CHmwO_G2knE7tHGP+*2{Nr+R<0t%0iw&0JAY?Q8UYOS?EaI)
zcXDoxPV_I-{oxnk=Mn^c{$I|i!Fgxfe(@juoRj%;sJ|M+D>Zr-yy7$4OX5SSlcd&+
ziB7~T@RV_v@6@P|)`;FXzR!<%!CvWqmc3SV7bgRr{p5dk2+vgLF7Gm5{OaTAUuq|+
z!bnp*4)5pr8T8W(
zMl%E1?^oUq5Vz|ZGt0t}2-V~RcG`N2#{wuH{#BJN4A0SoxS)Lmvh9lXnI`HfptWYUh?%`^5qq_>mgY`r}EqR*V+aH_KXFg`l$ev)ZP
z5B@AcGyRx8KG5ha3$3-jGc$qi@OK167atF*L>UT}TVFBUUw0_#*0Z<6qMh3#hC{t|
zVM1xDc%Te-2Ad17@i*;7+Idb5kMLPAeD4T%_(O;VXVr)X_D9t2y*8UlnSs3J!!^9T
zA237ou)c5>Cg^fMPYvrA|0-sPdGeXFysoFz=zeeD@FrDFbi-0BUG~oqGvE_q8i)&6>vX;CH@)KfO-Br8b&mJn
zIkk|fnhN+hQaGy@d}o)W*k>bDC^`bm+CnhRi2mcVsyfB~ob30TUhDPxjTaZae$#8c
zF`C8cE*o
ztnr-RO^q{>R=?L$+F(X1M?tGN@H}(eHk~dBKpa|PdGOZL;a2uJa-s=hoCYz@1TjN{
zm=*+LW^F-$8G%4SAiy)~XWJsWBoMa-ff#*A%#iPzAl7OSYk${vw_StS8U$izZ9#w;
zfj~hZz;kAmSV)%yVzn29DybIB@PU+)KQQPn>Gm(__CyiY19SVJ=hbQWwV<(nU;U*a2aJm
zPdQnl#3{+x^e=fuaG@OxMRiq}=Su&1f2aab+R
z53@(AQk%W5jye}WOnP49!1bx#c4LXKC#Z}65hD?NaNj6`#Q`R?l_3}W8Nl*Jv02yP
z0CuCFRkmfW_*y?2T^foH)tpr|eeFXV2KJ3ZZ|^BAy!CIfH=?6=IIh7BZPX3P*D-g|
z+wITLtd*r^9>)7@4+n;hdO3#)jFxjW!SVvbIETMDdNr`?5V)K}^lDYzR^ia^vS)4K
z>d+uZgzCM~UQg}*1eYT|#@^5ytAx`R;Qp{m9G8vG=>Qk6gF2yY3UG0cPqHMPquBOg
zqI9U=-xR$>XI+V-+$7*IqufsCD9Zg<-RQIzsFhJzq4zzf;zZcuq&Ceb0Gz
zRQDE-20WVOd!#tzT^jK08UHg1c@bv$S(f{sEqDvzuplsvQWI^*9??6(C9&|KFH1?(pzRy>Wht+jEkSXzH1odZ9^;OFHVZ
z+$6?_!U9_5EvNT1-8-7@b4_P?=e)V)wAZA3Cy3G)2g_5M{DdaIa9$N`3he;#(08;b
z=hMipW9Sn>^nl$*G}cckU{3x^2f=yz76rk{e|bgAr*eWV$r}Jikloo-RegH{nFNEx
z*_;OFt{4gr{fk23#nN@o8vsYCehuw5HDj~LvX1`?cItAErRII1@B_p=N*4X48Dg(O13`?
z{_IhoB)(=)Johgh6vzLqQWL{ki@&*B(SM^#*dScd2MnA4%^NWqMrQWkwd@?2a7f(s
zZ&g@^p!07X5)aZ$2Lv+xKl%nv92UF1oTzUiTCGU8r^)EQFAIyK|E6Bb2y_KupzdH}
z^;1*(eNuq|?Noa33?FLr{H;T9xgDq_LnNEJYg2=mnyu#4Um`G7v@+bs*P1QLZ%w^QH##rU~YA4d&C!!ECE7
z81N&(fM3ZxEaoAX2XVnLUiZTAFGnt!DE`(c{x(s>UgY5xbunn`B_)BB>GYG?l+G4;-VG;t)RFe?ElNKSkWDtjgK=2}@C9>9-
za(G_J`G>WU^N*fa@J%H=;@7ad{S#;wH~dpevj9Uf3lwA);M;E*HV|=1z9SQ@u|`-T
zybyUvgNfXZ4@zn*)35@ek0>tkV<`*5vZS_HrfDoF2n+aP74lz{jOD%{EWGTX59fLX
zv-Kan>_ExO4wSxShd8Eo_Oz$qkTdF=XUmTQHGMs^<{!P{2%I>1#c>Bs?n%AV5D-SFj(hx#m2vMT6`mgDZH>)1}J)AvFuXt!s6Hd_L;s_!wUoK3-M8Bbh4X#`_j6d
z=R}ym(uO+CJEYt3YC5I1KSx=C)Zc}Hm@e{evg@z89`!%v*zaxXzs{9^hBPf5aLONy
zNc-(e9PzD2cf85ZfZZi0mayLKjn9aK-rgv`!~tOP5c?Rb3ss=y2CDj2GwgeRh<%BS
zucK-fM@$kqbicKcNwpH)XqrE2dc#or&Bz$wQMOu>6>i1r)n!j0{_Kty6Xw_lVs_z2
z1G4p_MCZ*}qro9C?2Du8D}{aC>j+hOqb(apuZal_Z>(6VN7%8GkmO82!kl@Z+0MLY
zt#o9{JMnh+6HfhhPQt%3uI>lMFZdV};LXh)^{I@?b2PJ19TVjmG_Ljk=i~Sz1yx4uuJ;f>^aK3qcMa0oWHB10l
zR#i3`Lxzt}hKeBm96VjU@5Ge*o*cjen7Q*Px${)%WSDG^2EmY&p4;ZSZT>`
z`2oj8D=*4vYLpY7HY<*hf8a)5iM@lo2w?W;Y%C5(OtcSFoo>fcgEzC{BtMYng{tWv
z6Qgq6_HH7NiE!3D@^*U;k_uqKU#7~Is`?&#D2oc<0HQ@Ms^e9HTkWY
z{4O8)ttR#>)g+x{l0ImXPST|FOj0}!
zBrQ&qo#e|V>2i~Ftx39ElWsCe@t8<0=g|{Kvg|GQoAvOr_kH$j!$Z(+!IsOn;5*25jY-M{LHO(F-<3rg0%bXCEy207X$fVkdZeS?;&Cz$=i0Srl
zff*oj4i@&^Rp}Eri`-p}o@38dqnpZ`eHNw$K4i8af@cx;jK_2A&>H3P^Kg4v%
zU;u|KyN9Tb4`BvHIqPS~EpkqXs(Q%YUOpb8igKO3
z&$PF#n?|^kdef_=-9v<0-dyeh&;gH=Z$}r|w})uoe*bLy-Qok?rS-Z?>#0kFWTn}g
zT>!!J4TOUECUZ}1d$r!|6-w$A!h!{lpt1ED$UDJ6mSoGhctxXT0qi|AR8^jhZKw)L
z?St^?bKKMMt}8SMNk&R&E#(`k#8a54!I#C0vivdo3v^xhxII_O&|sNVJZ_&WZq!%?
zhVmqjy>3P`$&Y5jWoV|<7R^A72AmlUN}y@2a_8CI5*G}qe-Na`Dq+5T4)W40o@FMa
zWg60YhNLQPkFbi%AZ@5Eq-7csIJ2gfsj@OSm<7+-!_~;A>~kd^Fs$b^^1lTs`3j4b*`8Uk)g9aBTsB6NL^4;#a(YWgIT67TI6MW$N?xJbFuL8FCz*
zd0;hGVM~B#uEsMnHOwkZICD%mIHgDOdH#Rktf(yb;aXoP36*S*`{YgAh6j!M%xlAIX+L1ZkseAOXec3|hHBLHaxS&T
zW|SBnJoZm7v(J_#CZs9hs$@x2f@Mm$P>DV5lO%4;+Tuu116J5u$ho*!fo$x20M2zb
zS6{ENr^?5}*)?01fMm@LvZW)yIUiN0ZjepA-nkLHGciu>C6kD8rL}GzUN`i5XB~Wo
zn89a=4j@Bx@VVzzZvgoPgrR4s%HOe8sOT-fk%z)n!3nsv11Kr_{36^-Owp&j5UwY;
z^TDK>?l4*+Pq+DP#M(Oc3{hf(qmwJJ13{ZtPOFYPv9HAKocFauaVJftc^}$aIgbWS
z<|QB6>yazaK_^Wm9CUWWYDx#4-K@T#lTRFf{9pSWzMymTtM)tTryJh3ceC7N6-unL
z^w6)TRIRs%s$~OkCT`Vh_AX95^hOYqto{h%t?f*6dIMQ{W$8&uwv<0Rss
zBZwQVI)d0SNZw{GrTh3^qLvhX{v}qu@LzeS@&T}FqIp(TIW}q>oHmP;GXl$rHqi}4
ztgX+6$X~_V`Z=!`%1ucwx2mGC2;G;e^40bm=_emZE6ifIkHxHh5ozkeP}zsxM8
zF83ymmo}V>I#-M{j;aCWmy4wbnFw8a+8-*ZC((WrZ%P7+Q@wfgTfuH)tW8#uC8gQ
za7A5y1rD_8t27(fq#KY=8LR}t$iuG(wV<^C(eUv50VS>Zejwhg28Ye728S(J4f(qx
zLsh~?`#7I2Mvs@b;WHd!8%(n5t?1^`hVXccZJNq|Muw=TZj%F?sbFWe*~;cu2M(@T
z)h!cbhD=2(q>}_2>m=Z8YA=v_b<&F1Xq_afyxsQZs>MV((K?K7<2Shog88!oIKOtM
z+5X4&SUJe1$KE7eg@0gR0#PNpfd^wRP2K*9-Hi{O5)1x;f%}0oH7bKnuVUoMaW+NH
zQatP9;IIZVXr^3S?4$4^I2g3ini`1bSJc$&HdT-k*-)b7VON!gL;9Z)Wn1~7&A-6^
zzZl>=L(S**T>Og6|1;^Y|Ieh-YA35~^Z$ZaCjI}UtvMgtO#T;QqmiThD&ctr%4Ne&
zB7JDXhEmzEAx$#uxDQDcY}kc%uVELeqOa|7Y{hiCUGA_?@R{_;yX08uwzGSYRwE4tUHoJxBPP6nkOu#cB(?Ap1!L6sBTz%VNzHtj#oFYQ8Z21ZQr
z$O7l@LCpDvU0dyIU`SK^VUzTrkCf*dI$JG&V_le^l;hLY3bn3ixM#oyE(XV7xs`+d
zR@lws1k+)-`7zXp*28_O@G#uGbZGw~9bPpwr@#1EN^?iBe>w9sR$rUGwil5y@F}M(
z)&Cp&C|TfOWmv9rAT^X{F`Y}@19qnxHB%Niao^i$e+Mf^MeeuXB(DQ|I2Lh@nswCP
zF(5fG9t2*!^e1Aimktg+wV$3P2N`$KeV6+V+#|K{Yc;GEv>Pp_I<(V&%%S!22-Qw>
zqj?tY?uX^Q@@a?m`ioJL?LOkrikStLq?mV2+P8vfDfW`v9op^lxBmE-gKkHyD=Ox5
zup!_7soBh1{$_ZH04fiW4%CcR4Pf#R*>CD*Kk?=va*6(8-CVj%H|Gx9{cnKaO(?6H
z`MA7U)_3ZG66;he_BiSz8
zacYg-NhFDGKwyp8e?UY(50Gi~@fa{rG9TsUTO9r5a@?oY$5PyepqA
zSdMHy2mbfUQ8dZ8W
z$ln}7Rj&nqPGs7G*VfhkCjK}3aN`%c?{c5OJvQM?uL+|?yF6Z3`mY5;B$ef~2dda=Yt1^vTMb{vNAP-pYG
zhz!g8h``n0)E8yEdhlgA2%p>st$vHji8@|@t0Gk8lXc^i>!Q5~Kea)1cz^OE^b=bZ
z@_qCZp34zPqEi2{FIR;jj)oTZV-f7K0$#cJDMEGbir=Q;Pi;{9R;}?TBDBVB|CPh7
z=Lmtz{RcIukDFobxImtb(EE;dB_aTp7kbu6)*At(mHj`j%BdnnKj#;r6C$<4LWy)q
z3w7!>*+R6@75H`NmTI%rfiqpd%Z{1tz$|bO){qviO4SUKC{V?n)!La9tIzAAyG%7w%i*KS4gDHLnY^+E?`g;C+FpJZM
zWh_?7{G1aLy?|+hBU`2XB{LdcwI^$+p+>4=Y$S41)a3L2CfR{N=xnx61X%@}Em~j)
z(u>5#4&*rf#b$dvGT3a>ZH|#J+jTJ8P-HqV0h;C}FGMbx9c6xdWkaIFsYW^+r$jxf
z(Luzh7153ytfO#6+grF%7Vl^+TJa6q-I6g;yn7-eqG)$)D1Hl?DSK+ln|+i$HRS|9
zWlullh)Bl>D1a#+)RYT+ln-jkrGCl>HKipYN~rt|vafholdjdIpZZAG5^0P|igCE;
zhs@9k#=O?w@&_@F!T8n!w|rca(B$*P8>WC&1
zP|~hgPBia|(KT%Z%8r^CCz|uFbMT2;hF$WJoGOQyw1p<^7?T#)HEFSJWQj>z=%Xbu
zmpmF9qjv6&nJVX+^m9!5r%ifXGyN+j{hT0r-n_a%=BwRcUF6fen^(`d99b|49r65$
z!Hb9|VBNbj+CN{^jRFVlJ#efx!LidgfT!>q`=j+tk^guU2Rp45>?&G*4Ny3?AWuc>
zFyLpZo#;mEv~8t6O>(>@@w-11=U|7RvW26e48>2?ykEDUOu}u1Il`q%avk)=w~UmS
zU{|ph%&zDv5VkkR%onO6^Bif!(2?r+kxF(HQblDsGVtrUmF*pk)!mI8Z_1%2gh3j@
zAQQr56T(D-kR@Bi@HSJ%?X|@*NaGl!ae(XQCXN#lCF2+nh+|z=Ge>(NUp9d(*Fcto
zghIaeOd#(D19`u;K$dGD%NYn>9FXabJ1xs&geUR_m-3`L+Q~!Qu>ShKSpIH?2!jsq|$imcFq<&0HVeSK>Zl
zk-cI$Bknb%kza&=EMG9eJZpkM8MQ5TfPBjYv*t1|@6;9y7%`Yqqyt&LK&to;;)IP1oCa>NUKoea;imR#ou
zqnFRDF&QX0)&Mbw3Lk6YkAjHRhxv}{u*n5l{vHE{1jh)Y3mnm|tGci~5Jmq8mqf{#
zxm^X0SY$gcXHq&L>ff1gzN#Wluj@Y2cm+O(g?{Vz&*7mt);J$DH*l;0q#SFsA~(aa
zMoK*X;#eak-WO}&0L~k}=r}vo;#AXba9GvqZjSrZpS>NC>LaJKnJkDWk70f(zdcU=
zAT*Y3@B@I|9ToCMJjCk8*#`X032I2Z4uh|o=BTSuQsV~6$*4q=?u2+92#<}|OZZ?S
z->mjm6OF`B5B7B6I9*=~j&tKL4~`ectC~nBKEp7>(Ozw;k&&`xybg=c*T~++3PR*^
zFT=eVj{oWk&x3>}wYTH-q*hLK65WKD;^E05mKgQZSvgQ{<36{NThJ=4;8C(`I)wY=
zB@f^}t>CLjtO1`geU`4T6ay0jvU8NYg5MG^)VIIm^a^gUp??h7&OxV18Qnl7b_h1ej
z1dpIcY~E+%{UNaHsvWtho?g7&Xg1e9xH*o3A!fGBmLy&swLrvdnP`M9^DGI9EwdD$
zv}Kmo^I0bE(ybZfxW{LnFJF)zHT4$LDDgfyVDs`V9>1uH9%ous*5k8c)kuRE-RS7%
zz_qt^yq|re<6b1W@j$Q1_5nVv$-b(mO);=?J%51JZWyxDD}jqP7M9n$+yrHPRWZ!*
zw0yCiHoUXKQf)-xH*#Qj5qRU3jsvlIUK-+v()l9?e*KnAut|Mwf~izH(Y>Xf&jiQG
z_Vx7~-KM^_K9p>I{cxYGuQ%?K_2KQ5AnUWy^_8rT7?Aa$Wb12FU#Q|ROK-Zt*4MJW
zw!YN*+WL}kpRDhmao#o9oM4=Pgj?Q~&(>F!{T+FDx0g+Kj-QyUPQ7@Wm-wAvVlq6r
z6M~@J|Css#W_Q&dY=gK4I?}vNz2k3+Ee=v;i+eFZ=k>J3fj?W^7!nR!T%879i>m|g
zVjf0hi_0AA@E<$w;j}E14I1d|Ok?ek0XEqj_vv67SbOa>4NGBfY>z|9R@E@t(niLiBH3SL
z1Gc|_1oS+RdJ{rv#6}1B(G9dYo{P4W8_&>vms{Z;C4?qTax9UH8fYV2)j%8Jt5he^
zjpjMHFOIWJm!G2>l*If5H^~K}WFtI?`(%Xsai5Iv5NHEkpogxnWQ4?kj1VOo;U^H>
zyn2@V=>{9&CZM8YWFG=59TBcu?3g9v8fq9(4K)mu)y0ToGjJa;M4GCc=HL$=*Pt_W
zmMp7bEdhZQ147BM2g-sw9K{kP;lanXiM9U1G%)eui49OHx#?G-M7U|ZidTB4qmO#w
z0k5e~LF-zSJf-B{g(>!N-3Rfg7b`v)GT?4UPUhU&LY>u69~zm}P^ivHmemqB2&1Z)
z=15WW&H#SdYQ_CtzyAu*(s2psnTJI*=~p{q=$IWbq{YLchSbHw;tK-9A;K4svHy(j
z4XXZqj(1P0I0rD+u1S{Zx1X@RzFGjdQ
z9&D(GMgL}&an{~0KykTo^nNy_JX<-tk*B^vUJnX7u8)KFvoU23r)r6ALTg3{+~(Q~eBF4zPPl5TW;r9nb`Xpo@fK{C~4dTQKYqnu1!
z@wsf5cGSagn;dn-6J7({6pXkc)AF+TihIeggjZ_%O@4az)y4C?^rwUAIY_{vqy^9+
zXUdkk0{rz=`(a7YVM3h*Jzh@x+hfawnAtK923Z7KCK_PNTuL%x%j}Tgwag9)KFef>
zz3njve^)Q>aV&cWX_S0$ynljNhdsWV1b)*I*gMGa074V~tqCe&o@1~&u>h9E2gYak
zpB$VA6+Wv8mL#wn7yqS8&ZaFNTO
zj)fR>eoyqpxj`R;HYS4}eg?S342Jj_v|$D$md6)5dg9|sK6blU4fgTUM%x5;TaLi^SX&5{E9SYM0MsxTb`P~#L-;#
zhY8SZ*el`k+3<%%|7=)9Ec9&H2g;$d+JAPoyk-3jbujFIrM5T7(||&Q9f$2+#E33_
zLt3p#JmAqTAI~1!#bOiqH4%Q!tKg(0J>pSvj+{wo{nwGHiWkVd4DbmY
z@u$%66-PYy@Q6prvk*!?r;U=&X^+Ck3~)}HzRCY0#vp&|Vg$8g{_Mk~Bvt;IqqRMt
z0exV*4)sJI*iK3kszndWehH@RMO?(doZ9N+91KmjPxQ1D;~hqSPs_}nqGaFpn(pL(
zh&D_1Nz&8ps@irGY)bBn%)?vgBrA!_n%T~#Dz^+@=G&uLR|K=(`~QPA%Md)-YnCO6
zC4DTzsSWP#Q&;Hj!9JEr5-*K#kQ0u#c__$1$>&5O?*
zZKS0{QX3RDKN1Xz!e*q~*x&HWts!unl;OZz7!bP%C}3WxM<{
zMW0Ffjd*4tzARsl;0Kfxw8*$rO&OgUM9C*#GE(*O5|)6ZT_;z7dkp>#d^0ei;|YyZ
z)rv-u86wq(j*ll4rmE`UQLU}MCW_v7d@LuXYNd})_4x-rm@o;|YUTBBP1OPYt*K&3
zw~#pfy=B}a3CdBaI%w+W$HGAqrYjDb`UK6795kVu95nSIm&rlX>jZ_v`Pb0}Go0t&
z37Z=9!%*})VGEAw-w9hlzlX!r>wVPgO=|oq*sPBn)96R3%D%GnRHLU^uTzIVMUL;U
zi$*fubS&TGm@F#QtS_*r-_Pj7Je2!a6eBfv#FFuZ1qOdv`U}FXgOa31
zDz!2?+qpfcE7iNA5>)XnYf}6KYK%28k^W*mPHe<_w3)xQ32vUU1)bG%+Z=toKNY6J
z?y^jgvw@h-ILxKCb&`zk@tKAh=&AE=OPT(;uw~p`&zhx89C+Xr{0k~~hodu&Ij}4!
zo(_H*^|fP?#l5gebTMEQ9mHG|6;854r4>SGpU5>8u
zP$M;UUTm_!?^pWdeNfB$gqF8+7j>NFy&9NP&RZI)U3cIIsfeZA1Nq(WZ05W`sI^Ed
zwD8wdIJO(1jam4X#yaV-{N*rBXQ=?I%@e}%)xBRjZk843!lJqv>f)D<5i+f@K7!V`
zF&#m>Bs<|6i5`3ce#Jq(AeC(!>vu|%_d5E@8_nkfgPwB$+nAcy>)bYtDS&mW>0e`E
z4Av~Fq{cdSMaRq^(3lPiZziV=QR_aXpabtZUFytP#~Aq(zHvlv5YD6LiEeO4i29*?
z6*y=YcBQJ^hh5l}jrIJq5w}M;S~EC4u#vS1bb-$45xVvYm|FLKL2PAX;VImjEx%zF
zt%zkoM`wXNuCE1t>I@R0PgL&#B;Whu|He-hIq-)5KPH2fYV!eD4ES;YfHFD7>85L*
zL0%;O8FCpqPl0JgC+8ykenrV~*m7+zxglJC)Hu;7e6egccS%PiLVSQNey
zlcxH2ceWB=@be{4i~6Jk%y4+M`IsfzbyXdF)d+f_nn&L>EJFEw}g!bz6
z2}hVpS!mG{iYQVp9*#=Z4vw3)%S5oIb>^uxNCw~CRIlD-%5Y6IRcN6i_W?glz|?u8C{!_We8pm*P|JG
zIB~z92iTI66HoYW&1t56$=%HYyxhO>WG^R{`#FFqI~A1dR8X>~L&=d|w`SU_6f_HP
zbvub3J+{kjW|vX2qdVf~eAthz`k&~WzP0W7HdMU()(P?RMf##g7tLBkzu=x&$2|TR
zIw1^ph1M7>O7?)%I)$a5`N487yb~lwx$tZ#gxp^S>QO-7JWbD2P1Cd-M%uXGaUdI+gN8^dst2xHD2cZ*eBe57JcGl-Nnw(Olzn;`fHr
z$Vr>I_Rpv<$@~lIIBdEp#Cbp-P17;-CnPxSz>k0fVrcQfk}zkQtN{bstq-oi0W_MT
z02-{yBApH8hoJKYbH)eY$H9r(G%2c!TE5geP;N@o-Y#j3a~yt5hok7!<~oX&jhpLl
z3M4nzo-Vt&4xyu(d&lDkO4yvcWqfn(=sM$p>F8pbv!mpzr4M3SWDOO3H6k{
z9h$&A(nc+daXv0V&XY+ELDkaRqGdca*7>LL7u|Nb&!NQ`j;Si;Ez1p-El?y+B)P3I
zIOoSZd&(_9joD;LJ*XQA^F~hdS0w7Ei*23Kkwmx
z&havsc%_(;uH)qe4V|rI{d6s&m~>U?iRjpfI><9h2?)I5at0CWe#NEx!(~KNz+--5
zb0*bEbb~pC%=jD*KjM7uv$#j8Ka`ZW!B1r1S!+6cpXeN(^$rLFXO#Qt+LUq7jPh){
zo>6u%IdS9J;M^k5kD(>nGQ>&UfpA_?T
zkBY}zqh5?Do;iwX2>P6eZ{~=E2mxE_og>$
zZcFtOIcknWn?tS?C=_&f`cdJQ~5%>+$Z>jKPcD
zo`<@j-NS8}Jhf!EbY8MPPq$s}XQ>6=|9#SOTc+RZx#ev@sU4o7cDHukg7+eQT^1YG
zm9%kM1%5?^#f47{Q|7CkGe_3{r_?=gG44SwP7fLbU+0FP%=qpoqL%MGT~
z-eIX-+xU9wCi^}7e2UNS?eKSO9ShM+6Ew}z;a4Nn#b^S1P7~y3ahgDO%+lTfCFiM!
z;681248(nkp@)Jj(Brx2+LUpS$LpA-vjn%B48V}H1T)O*X<6E}xPix)BltINI!CZr
zlZ%dObH1|y!Dat~k|Sr7>|fevY5&qT%kT8$$EZxX_>E>CQF7Y*8xzu3!H_cc*S4=4
zH5l+?FeusC5r1-a@B6{9vug!Wkh5z98I!Y1Mm>s*6SK8y8fJS{!;UVqtFubxWb0Hn
z>}N3SoKxiuv;RNNt~)TQ;`#eFIdTVi@7)nXNeB=+fj~mTTIDRn%@=&!J&zd{ZRlx2phus~jr%CeC|U2NpM
z#78z%>p+<@a_i!ip+Y}mBUjuH4s+r+a@z=kVITFuK5D_*{&DLL0Y+}(RXA#gGzJGx5q*L#l1hK8aWMEG8AM+IK)fu3B(Dx@3~fNh)4X
z`~b$1XPhTb^?_%+Ki+T3upjrq&iZ!oEbx&L+w*5gYk>oi+ujRrElSnq5T__pTRFp#
zwUskmsWuxgJ*>9fv3>x(h;QyEP_|hOkY(8{S8cLcdGB}A$7-&YlpgJEUR#AVU;aDf
z!4Ow%%W8G)sb>mTZ8hodb}OWhNUN)^mdR;LXbW`}FUu|l5vr3@WvPPQ$W_w{1{3H(mdEmzS8=<+bor>b8
zEQ)LO)3=BnpyGoPUhy(oOYzLZR3^rYnmq%HKPf)MmpbwLsE^zhd|{~S$jt-vF5(Ad
zlC}C4nY8=tB47ip)#LP=trd|O5Yq$}_E+$wE*$bc*tRAv6mQtzl_=`N?|>)NXAh$~
z>a)*-lZT7fAZioo%9#N~rH@Cf{i+OLv)VtCvJ7VC_2~SIicuVM~(19aUCm0Vh)TUjYs%ib>u_C^slf}
z338t*-=ML4ELcnUS5H7O|>Qb;H)L~040UNUP41?FyBV)XVFom
zZ-lpy)t_)~6u`lK;(cm_8ppTS;c?vcq;snC3?)ZrJ_A(2w@iNP^qcIC2iR>3~vU;Zest8L^62NiREL#FdBMF4V
zMY1Yf<&~c4hF4x6qjx|MnToP|d8q7%I)Yg4z;8ail$<4g4#hefqwE1ronQ}Bt2qn!nZNFri2oC7Zb|yE+*i(
zHeMfxJs=Fe#sc5&17Abn^|ANb2Z}N_=qnTT;Rs7J=o=R387?U+TndZfn$>&f->KBq
zm%{36e)##>sQO<8|F?n{dZN0s5_jFBViBFFcF-c*uC>EteW0kHsLWadzO?hUwE`3P
z%{ysBA92Y;%il)8lc;+=Y8F(ZTh>BBZV|
zyUx03M!>m;z-9%RT_EzbG3#jMeK>Fy=F$Sas!Yw%D?$7|)bVxYw%3eWr2n*wx9;85
z5FuOS;!5KVetf7I?r0TRXTtM?G!OD
z2w|;-g(n~C9WMZs^zU+1eHSKsU>=%xCkviXT;H6wlvG{u~dHn
zfkBW_A6u%Dm+4XXB;Kbd$W_bqMD24QQgJ4Tz?xqamcV0mmF(~y5achjp2mfPH~{{%
z*_C$MY(l;8Jhte(5Eu=`IAYX}t5-<90B#e@~9oH8or
z%~_?VYnTuuuY(b2T#r>0C)3uf(|gbpP((@BKuTDFdKH!wAY>ICqcAm=+aA)pX|vR?
z>9^sXa~F8IiG&|b1mSs?R%6CXEg+8r2kXJTIPtwD(A>59E82e5$ldj1@(BamnW>3y
zDpFp%jg+?vOA63&6VEA3yHykMa4NCxm)r1OxeL79M8Z!}+%3CF{aZoQ*Dw=6SO-{vR@mWMC_4i@)I!n6!h_$WsA81$dt@-)
z%)7wLEhPLT#LD&aetlTqs^K5yHpbQuQdRR2eU>J+pftI#o2*vi>ocd~fJM^YV3M9I
zEJ=iH4dx|pTX^uBH&QNmRIeh=T8WpFFWw`K#m
zV~1WBH+Tn^HlEPi7g##;36$=cuk^_$^g{)fe)vhfxt5WywDFYw3`vq_3DPHSp6Gvr
zL53y`A7Z?uNyEuRHEF=G`^M9H8|PNloGpwp;$ihGhsI##j2_MFu~Yvq1@}YEF&jUpm)7u1-*b97+}#4o)id732$j`5dE`00gt*jzCJmK!
zFORbuLa@mU-cQ&;Jto|$q%kVFl9zB$-z0>)p?v3gJzYdMq)t@JRi+`U1d=aZ)1xWd
z^RwY|a+(5CZzzu*(uayBh+e|UaW*6fydW);U)4*=$uFQ^bZjUqe1y@XYeR~XST~iu
z@R1%FeaEpswV}NDkzPsQ%LjR%IgG`=42EwY1~;TT_LBY+`s~L(=qhsSi!lAO{m>i|
zBj@8kQ6#^lSF{LdAXW!M*DSQBffm$!Ss@B!T`RDzeM44YTr|AzH9gMu94V(Bnq4(A
zUVynY{|&zqDAqx*=w-CQGV67{V#&eawwgn|LI3d_>WzkK_6t>6^R1_iEOJC27NsB6V{I);
z2H9uinxp#ruIq#hm*Rl<0FSs0lCE0HQnZm$mas;CWvL$;gM)SabOwoy=3?NC+eM#?&b;dsC~y@t(Q$_j0yxC?5CyVcGV)c6cv<1;G_Sy$Z~
z-$-V^uE&;)2a$^7z34yYc&|pm9M|4Jv_$pP8qr=-mCP_OF&r!XHF(uO)4{2-+-beE
z7~4q6Ad{F8B!ezNG8oy2Wl%q;CxZkEPOoyNru3eakx_g6Iy)$2_3jR6a0b{zQ>F*r
z)Q7niQ8m%t1;H%qgrxb6R9D_$NoOsU^mS$ZQ{1Il?i;-*&fWcUTu%@?1Lec_+ugA{
zKN(zEXH@o>C7-py@}aENmV7`DYkx)nW8^z0;G-Y1gmDNtN*L$pKNiNhe8QOiwqF?X
zx3{sf`KQJ3-vjU}rSBEQ@ZS`}^O?>U-qE9MrSA%AFU#}q=-EzpV`i%%*L-e`B6gwf
zC{#=)ey$J0Sr+8hcb2EJw=-7MZ7lyiuGhhd78J9t^Qy2!6fapYV`YzzFf}-T3onUU
z!tRNx5*jP3QeLK=^IH|lDT@mw$f^`;toV94p#8GeN$|C8W2NM6L7?L6So)9oI<|4J
zl7Dhi@8dHo{ZHv-Vi!=epy=4(;ut@CM#f}&lS`)B+p>t7rPi$~=1|!nWgig4``MUc
z+&*m8_&_gbx3xD~G#4!)#h(3vzSOyyP~sBK+a=H!$qy`@ZfMP+>w`0GQxGS(-{
zf223i@Iai8_lG{xOWt{YdQ|@S5#Ww)IE|Su4N#c(5iGsB_kqm$SWo^h*v~(nLG
zzrdc8t)J^rw5#)j#%c~;=mF*^I*ImP$Nmsl?m>
zvB>B%Pzlh(cJBk^D3z$$#8!!#O@dY8jWYorO50Ci+gdk~!#>qxXvy+RTl7hQ4;KBf
zAkjB#!lG|fpq(pb+qp3lCg(SG1JR%sO_WAtd3V|;x1ipa^F%(Uoiz4JYk82V%I8xRakWNOTKNyL@v1*Hgq?Lbg
zd_a1>gE#U3$|@cCiT-1=@l!q>*?T@fN9tVAONWZ481^q*35!N#qsK){OT;}*#iZKmz_nkAI
zAbdLE8vsR8Q)Q=d{|4yAJ?$Ok$q^y{5z1s>DUQJbB?S&Fb4m0ULmcz`Z!F~17@33M89|cTaD&MH!C@=SauRnmB
zeEcG~pGB}#7J1X{k(GYb=W9<>Zd0)XbYrio_Nde^>TTp#zuFP;mwg$BFCrHHnJRv|
zsfvaFKtDMaep){D6Xu53IDzBfC_~|4pd9iu+*PxgiYgbwm!irs&D4Dk_{~w}n$6_C
zrk);JGaIVJub8!@SWrn8R8I>EzX25?%TClQh_q%Zkc~tRNIwe3&{Yuk6I<1Yv<(Em
zVP?wdmkVn!3u(X+f32vJu6o_sWL`H*Br^^T-uSXfAt!<_p
z)Rq2XtDAA4IsA(LGY;Mj{~d~7@~U1FJWjd}d$f&^W3Q-uj;Zn%ok!YXytSaYvVXgVfbKS#_?MojTWz68x7C&*f9j9m4A+q`BL-{0SWm&`
zCmUGAHuqCSKeRZbyc|-_sEkKmf=ZRRq4&43thfP=bPvw|`G%fC2-v7uM1=W>$XoE2
z-cd8w+wa~ZV@z{-@^8JXHiht%k&SQaja`$Pvs{oh^QJyt;2VgpD5F#7lOH6g`mXf^
z5aV45EucI2qW{rXV!Ij>&e8il%{izhe+)I;^0$=8it^VJW@YWTDw0(cmo3L?Mj7m@
zb|=^Jo&dJM*xLP&wpxE9^$J)z1zHN+FxvGAhV@T>V}n2rM>2O=c$+&t;;H5wpU#`1
z88tNl#&RU=mLg5y%eziWBAw!W5iNL=i1vldjxcK1EZw4zG!Y&Og4MS0;5P@s9tbu1
ziB?u(^I+u3cY&N5tle54YgE&2<$dQcaPbSOxNsTzQZdYED$-lX-6G{{E~Xb)qNUSVLztLtf8EYD+1+Iv6PqorZG>9V5;(rhwS88@b_X>q?m%H1
zwozsmGZMsG78;=CAn9k;?@xl!o-I7u3*kl?tYaK434U$NtE3yHG$NWqW*b_lojOnq
zj^-aWjAlaq9BEir&{h4eP5?n>kyQtzsgwa6D^rNz>SUWB^R-5Tho)%og?7OIe8?nZZ3N>&@_ECS*
zBf;1oy9?|bk|kDAbQ|B;>PDHokW$900*f)*VvN>!q!Xf`HKtZk#$=UfS?n*ZoV@sG
z!_@5Zm+kWN%fnXi0Kk|OkO*zXJ;!+rMDpO069ZE{J;tbEArPfh3H&Tm&Zrbvqloim
z<&`tKSpf1t73dO=4#y-aE#nMn#g_G$+*%%ewVMyfUBT#KNE9P{S>IJKQpGXw
zfntl6MK1#r43=cY8i&MUgq(55ikRI>rdBj6iriMDmDs0s#V8dqm+G^v0RAnPii3im
zhQ`Q`D;hOR&%QlZA?7Roia{r7qpaOM?yY1j(!}$qj#dz!ZKXN~zPwKIF4D=QiMr8CIU5l#8k}u1|mnW+$8yRIpQZNQrW25wc
zVqiX3N><1BlYNxZ2F5b0$@dNHnY4;c30PYaBHo+Ureb=9aJ)Xo7(9#y2rq
zYOYzTf%{uRvOOD`Qwt)?Q!Mm#vJLh;@XV+hMJQO>QoYB%_9S71iy;4RJk_j8at>!W&r?
zGA6z8I`3lg?p7i!ODbx4nuNr=q`AC5$*6AA*V0Fy{3OX(==xl>;?v-EQe=I#d?eX8
zgS#;N^#5rQ`K!Fx+L$PQ1sem*Cq>&YLa^Ah5bh(Nyw~^I7<)xjYq9|4=&I{
ztImF=ol&nu2h_x!44-nT?WvTKQr-5(dzu)`)HM?siZJJ3i!iyXqftX{?`SlLprjy?
zL^YH@bwm%C0eS-#u7E1DlTq11Syn#X$rvV9D!i1KlxjRcUuvUGbt=)5=k5%n7x7sB
zdLa5!T_O5sS}V~9Na9`f}p2qhD68Tv#5c!uyWVzl(shX^xp<~h$6AM;Qi%jjF
zRBX=t%2kG{3}g$1u~$oUw-R}8_cp#45hdE>lL2`1dOuVf(?;>e)jyzHG%2`NLPE@G
z*WWl+Ajaqcz*yJ9IBbAXs+zAM3IC09^8h@tT%t`-BL;9IY7R6`iay98P3c9=i1v1C
zlUH|;(OwfH@tDRIbn2XRBUZjV&?q7g4>nqgac#)7){t2nT`pq+U}&A?5dfk*?I9~?
zS*78Oi+YkjIs@I1^M@EwE$5Mr44G85ja)eb
z9>}YzNlr^9ujG9{!kDLtQ+|1D(u^`};{4J{0Mvl!e$~38ljQ=E`
zpbH{D@1+bQR3n049R-5_3MTkkUis0+W+9v@N{1iB5Cpfzyrrx+2E!mM`Jm<9sksYsxXx!TC+@kW`(q5q3~
zg1(*n&GP)WW}+(%Xpuiu5nG@yA-@}MJnNdE3XV$&awTRF?!0poj6p(vIKwC*yJj2Z
zOUzPb?Mjtfn44`}j#x=KfgS;dpT(0P+;tYWtbG$JQ#MRCqQpw12KdNJ0$PHOJv&9F
zPd3it$`^2~gjkBpFqfO9q6(^=&BIE$ZBJ-5eN|Ar660?v@kMjBC;kgEGrX_;H4v)e
zzptfm{I@7?fMHX^JF7=cH3s`u@qV3ZSKxbMvA&#wB`(Wx$d?qk{jMuZI*VnRmUEJ%X7GO$4sN9Kn)yj
z{V0XQtr7lkYs0pxue>i`S!nbo5^9OlkR!!fx2!=k+O(w;Y&GP#*>DNFww2pvWAkr!
z)JL0vJGWJvfd{r#n}J&bn~JzKY%2$^H5$k>bBwu!gF2xx4%rlBhp3X;S{rcQo@-1H
zNxWu1yFy+
zPrYX`99&g~ssHRY>OTv>#nhLq(9Whlmi}YvW80|(3!D6=ON=Zg{~8W7ezL?^Aey#Q
zn%cTu0Q-^1hX5J^kz)6%8FUDs``XoRLv~+al$2S^;9vCv5Q)WK&fAwj@--~69gC$H
zDWBSD5hZh%7}1e5{J#&Apn$lg_1fi=lU~n91j?zS54#r|F(qeGE4hQtqW`$Pv;6Jl
zLo26)I+Xv=%2FTfG9Tt)5Ga62E(eMz3Y7cTQh$f3hbC-J5AnXlTZ^%?x;^_ffU)FKOh
z^CHVT_|jpgKuiFoMV8^KjX1FxaCFY;LB;NHf3GjqUjDY)SRyttbFH3UxqU!SuhX7;
zI`(F3n-I;S1FIswz3T1F+N<7PzCGB?=Uadey?vhm3hwA#kYjc9*!EUOU%1W~Ct}-E
zPuVHP00mv>l}+gD(@(a98MxYYr8$taYQsjuEq6=9B@b>en&So{rh^WV#AXn7)#(>=
zMZw)Bt-b2>AZood;&fGpm1#u#e99C)A^?|6eAsAO@=2s9HF}EvV>NmTEvFlSKtA{S
zBM%xQthU6-t{aUx;+WN-6RJV@$sOipANp0MF39;UzbrZ+{(kZweql!4DXk!m0Ab8m4g1`Rtg+8uv*ETWs{}Bq@hqH
z-@Qks57zC2bz87@XPL3t=t-R=_Yq^hOxocfV0p
zZoSXx5LG)+@!eW`mCpx;s-gx<*6ljb2)G6>n*$to$YyC}#efcK6?816HKm`_QxK=7
zBD4mIgA%Bq+S*HH!bG1As=ox|4!;xibAPFTx5BU}Sh`x66zSYu4gwvWlzFWKcNhIhVitFotsVGyWEtICk(#GQ
zM7+VbAC4{WJPJsDx&y6QSLIXrm4cYz7s$7SnJwRU^dAfJJ0%dO<(l9sE2o((ukJ8<
zLo9h6pTP2lxThnVYwc#uq#FLOg~8KFH5^ZNq2co3JfqxNy72j5A3PqKBsQo^-f#LP
zW&i`3=E?_*YT~A)YS)yi1+0I!>ts1(=ygU%pLX0})vG3dIbdYCdZP?{sGgnF`uBCJ
zL@80XPU;7kd=TJ)QTVR(n^id9iYhR26n>9FK{fEY)b%`g1xGBrFA?5ac%a+!HdaQD
z-34x5tz~M0k<-CMxlQ@wT{*nyJCRs|IVo
z%Y?&-80)EO&7o+jT8OhKGE)oLTA<^#+A0VL#T_9JN5=`@BXTdG>|K{bBb=L1SK^4{9Q22_}*$A*EJH=Bi
zFYc(JYa|C=C%#OYVBOYj3+(x0#x?N{swIIPPgSc#`0_cEIpxYNe*O?5vuKFE5GrwW#S8Oilm7QUg5P$_W-8{AT@m<&@b#%(oKf1S8MA
zTjbJ@oLTs!_51N)yieZ+US=T?PwTcVJLf(49wzz39bR*9hE~w3)AUYx;NfaboJUDw
z-`UP`Ti4=Ic=ywg4Cr#mqMxw
zP_5~K2TW8`wX=CAJ~l3B)DUjzr@oddLssjI@qyNtt5ru@dv;L@gD*XFsKNKKsmu%}
zX?$Tx0xE7W?(DQtA&DEj&Y!d<82g61z|O*@T1dF~Vo|=dtbEq^%6Sl2FqS<_)u@9)
zrLFO-6b*5d3s>L2>PZ)c{$Rv7tMf7?g6F*K`393_EnXk9fN0=TLu1t1H8;w(@ZRO(
zrwz<>sKw82U2HW}m!?iphK%nv8HrJWj!dP&$k9bmPMQ3hVO`hd=&HtHxUhc|tCBb5
zypdJ}*RXK`S^yQ5yOK~#6kR1MR9}Y*@w@oPJ9L^JV?}qaP~uA|@rv?X0{57mdL<
z7}%8qZ6z&s#DI|d;K7L(%k%tVtOohfnz*E8$k_D|72*
zkE^sK(=~6-RpU_&dwa4qvzE+y!{ro}y0IXmZ9!J*W;4NB=WO0pF8ae5id&cosHoQx
zE#S&rLkt*StRj|`8?G63@ZKjQK0hjw5#PKXO{#$=mG7qXI;Jb>Fs|2n+2xS!ZWyK>AoVg`X)02MALlFCRqe8M
zFaRq(El-#1Mh>SXb7nR#Pjfukxt~}O?cK{HRq$GC)3-sS*5>$a-jjbB@wm*=aZk`)
zo-YH*)PPe|6u0+U;oS%;yc>v8#@sZXaK5Lieut_~v<(a$1hk8)ka6TKr-LU0{)E+>dxd4GnOowZW6@3xLb4zq`=rK+QOa2@?_tD|ZW
zv#(aF)7{qbQkYp=zd;(Plo7Kpj^^)#KZ@&5OYWrE2Tz%Y1GSnm5AV+L4|~ddoud98&0!N>yUVA4!tUrVyQ@GSesiD?_;@z`rv-ME
z!8C^)UdmJtDP8R@&!=IhcZ5p9j8q`W2KG&7aVVKVaJ`$T-a~~>ut(g+f~3`NN5tdO
z2~Hv`NV2hf>M_S@!~F<`SO_Ni5g>`
z1W2+G@RsuFq&P~b%fSztQoBod`XCHzm!f
z&hJqMy7w*Bo2XCrm--46(ThqqWNaDJ8qKd!;TZ2^)I{5s*OxXYhAxCc$%&oJ(xL=T
zXOm~@?y3AVeAzYSId*kq(ss8h$fWC@;(7*qjTeBrz!^5Muv?#OA;52T>m#F0TyzB<1tAa0sn^^Pf!Zs1uSVlK2MEK1zN_$PKB#QP@(UmY6n`rVC
zBes;ndlga#fR7z%s)r_;Z^?3%%qOTZ-10Z_wY*(r^G(qj)$%m6m(s?Ty{u`bMNY5V
z$mw5La)64PJ3*lm_|22S`4(#2$ds?8xp#qD%?E*s=YzfS%2zilXjBKa6=zg{JI)qz
z-jNz+tS0hMn%a86YAe3}N#Q#dRd3x!)q91d3i!Ce-zZd64>$M^3-y)TQ2%)ssJX#Z
z1&Q{6ELz+Ak!v7t&{M~3B%*rro-+LakXjZHCTK++bC0iFzXX(vFR
zg2kZsDWn*Hhs2=a?GwU-pFF{@uYM-xL)-8!(6SH+JqZC{5<=d;&CM;EvoFw~#n8w$
zm?6=lLAE4HAo|VeC;{+ZD{UxP67?+6L)vVuc8B7u)(fiHK6&r{52oqs7&T&FsMMG*}~Y_PcM?-Y2g_CmMYL{YRash<)>M3KG$
zqQJl9Qp?fQy7}EkTCBcNj_APcl4dorwvVrC@Vzu)J=J{k8oWUYvRv(2l7zoeQ~?hLu&Lp8<#3@^5Q28y&9c#VM$lLF
zsFN0l9R)_QjR5bg4R!*bvZZwWZD3K$WlO$6nqFL)c|mfrzZsc#a9=ebLK&S}TJB#O?9XAW>ZhilU(-)I!z_?O
zGhjR?PAR;Ae@dneH*0H~?#KLX?h?3f?W-+xTEK%imiW`dY{8&KMMGfJLMHydLcgJ+Ui$BgkV@srZGzgp~F
z*Iyl8SwqxN2{kS4G77VzJ&d!S*om@x!=p5?g{~g%IvRfBYsjPZ-lOuU*W~ryH-I5<
zy|)kjE@-_M=y;&Pm)+H!azUm!mzH)XnTgtyQk!jBuXsM*Urobu#$Y>uJq^2MQFWug
z8ddQHSv@t6+?Q>tLy`tIZaf}dQ~Ok|$u;9^c_RiCk~H9A((vUm5MO?b^^vjWP`cHN
z2)tGRf%C?h>$Q$dfZSUv%n6qBQPs8s6m3KNv<=Kh+pxmY23+idP4(kK5)b`L{7DP*
zpgz$JB+n{Pj3=P22dF{Yl6l@Ik02yPZ=6D?YVGQr#Z-J*;MY~&-g6r9J4oPv6}HvD
zMNE~C&o*nzlQZ0eiCK!bHRmgBk|M{fKv&4v+Ei&^A+-s}nWa<-&CAZo_otaZ2}-7U
zS-HpIP`9Ic>g(rxT&6B~|KpgJ*~JF$Fli@J0mV-3Fk>V9kbX1r%1pDCHjZ0h%g0}g
zDu|zj4uuMs^Jo2>=R7
zW7jL=#Rmm7DI(WwhYe<&pSIdjMoGV8
z^c}5Q)j`(Fxr5ZvyFtFHcx|Jv&)S3ks7ZM)YHg!0RZa68t}W1Q34)Tf7Md?Q(^cUS
zsxWyir7g2gYo0cMazC0ZGP^rUWdY(&?uWgp-G*bK5_zdL)TZ{OL1Q2L2A}pDkwgiLzC
ztSI^pR!##F?Mm5c*i3R#U0@F=CZ}QPS~wYKFgp!$P=2Rj?qI*uu!o?P)39lf+}9|w
zy6m^kTobVzW%65Nb{ZZ4jR8)>^1%}0e@}rgFV}7K<68pi5tJ7D2CI>OH=&I2ZUj9P
zkp6yyndBR5-(jrSQiHqF>FNc1*#(&XF7|_*M<&H~zCb30qrU>8KnGwk{VvD>02a23
z__AF*F0Vakb|K_!k6s6X2*T3Q^o{28qRbE#(uf?QXuy}uzlcXVc_8SdPpFvaA7~NX
zmR)B^AqfF04lcE|P({ikPn+FDU+ZVD+c5XP3(VX^s)0sRe0emD1cLnXqtR5%MnTBW
zHrM`g5X=S)r+746dmOfkMpJR$5EaY|Dy4=~RK!8L;zWC#;$bBUagU%#!rCkoqMpkhv*w@~d-oV;xP{Pi}>SMLHdbCPNxPU3rVnt4&%L;UEhm6Y3_
zr8zuq!wKKxW3G3jyzg;yuPPKHc?g9;E4bvz9cIM{KWx5Xv^j&>a`6|V4#UGJ2x5-!
z3gozK^(2PG5vt0)Uxqrhp-Ov)4wV;DB71AoRaW;WaEd^deD-Vag^0Ae8pF7Q@|6SORj7b6?i*#xeP%0BWth4@
zY0EydvS>bx`)6>mko|C~>|$N_qgb~Bisc>HZyFkvV_R4eMTk<*FdwCS=fHG}(ka1|
zhCXMu6sv~uodW{;gqTfj`P6f!JNk~sc-b(?mk!{2`8l(hcr*w)Uh@5V{{_t<(8a)V
zFg#B4lL@aUF48wzp|_Ak{Tn)5?-AwE-ggvR?c1Q21VG5^dFC^&v#Q)@!&E5V5-x>b
z?Xt?(x%RyIMo6h2Q2I{3j=jUfh9e2fTQ6d*e^by{%}x%O#{rN(Xb@v3=U<>!PR_r>
zg4X&s%55*1d30dm?^nz<@~4;0w?vsVwca0@mWRa3nn*wbmie)Wp8Srf_PJM2lPiy!
zBSi-*D#WIfKIXxvOdfs9cuf
zX)4aq>rJzt>pM!1_I`sjx_sEbZhr0hU6r~LT#BwTyO5^*l_JAc=L{JR
zd@)`Rh#`Na;t8{ph#jtcgcyWv$xp!-RyKie{E{22yeAVY7BzVTk}j9@4*5
zm;`?N_X7WBq5nA$JvZ|5UEt?NQav;~-YqYGV17Z>@N)@4T<`Xg`8#&X9sSBwPeE52
z!E(lORPI-1#kE;o4e4$hSw+L$Y$&20^K3Fg4Xfb3RtxPOQAp+kH;<}V;_~4_8V{=(
z0cj)r_>X>w$3E@?KewCepA<#e?
zRPTY((pJ__Ra5v))6+x@_g%is=j*drmdEtnl542C&*x$w#d&SNG=I><#Sv;e{C>$d7U|7xa(P&_f9dOP|NR6VLKmx>2N=tzHYKZ7tB
zvSR=(V#gqr>>N7=e}Piv82mLdXk`Sn@XE;PE0~GHJ>YZRy|0>6L`1qeC>@X||&$<9eh!66E249At6_;zAZtFeY3K{CmXJ`hP%JGvO>3rrhN_JcxI$Zz<
z9hBDVBHwbjie$i(TI6a*Dbe008R~ho+L}Ad?!P8(!
zuu@as+)R84uZwifYs`59$2#S|_
zMysAGVWC}Dc0?l<(CwzA}Wqno@qsy9P3t|X+o5{t!Oq{1xp(vpXAm8
zSOVpC9dr~ZHy~uW;mdNvcXG75FIB{HD?eJv%^0oZRt)JB%a~@7J2{x#&=~i6u@o>D
z@yhEW3wE*}mc6ORE!ancVb7Lx?-nnNR^C+i(aM{;RNmb%>WWlz&!schV|K
zPd(_{k--i;21!_z1vD~!LL>)GK=-)w?IJBzjvDliJ0D13KcqV;5_i6_L=1Pnv6+FL
zuZ=ug)jinid^M$eU+4h5pnw*s&KHuCsmXo&LVv@%2$V>@Pm@GcZJg%Dr<%;_DZ+FV
zvuSuBQ`yel2SRIVInP@U`8(iIK-eAd0fJT?YHp@7o+snn{haSpdbIals#^8G
zw3_Y(;zTBQI_)b;kC$o7Jx(W;jPasw?sw@2L+_=NTM&%6imEZ~*RIMn@$OtLTzZ-#
z)ip+SHDgS$klq5K0=pW}u)5$&T@C2WI*|TVzpO3=$m*OWtFx$_lnB?4G`E!~1yu&n
zn)O2H41~rwKZ#xz9Xv+OO=HI>JsMtE68n!)dW5g1uDi3qm#sjbG0F<0j8O^%qDX;Y
zP$8W9;d6<1N`D@ZJ?gnj3)IZ&6H7I-`fQ{BSbesQ309x$_1u#JZFey_^ySdW8XjG1
zZt0LXhz3dbOtPDya&;4T3Hfsa_cZMk7h!w;E+`~>{uU@Cdw!5uq)0jrU>b_E8o3)1
zCbsAMAU)XgivF?qPe9n}bey1-IvtP|8oOV0I=o1U_J+vhw(eRRJ}HtS(_RVf7{-1u
z26KA%RVz)I^<9xvG{%c+S(BQ-7P?u(d-H7}y(5FeoN`+`ca%&>hDqo94F3MF4cz{tzCaCe1iIoekl0#Oy)S1HyT=~Xf;
z?&T2}(@_+uuOA3v7~6n;UM0kSLj?&WF5g9dP%9J4|!_LK)HCpIEBwTO}>?
z@bDZei9~CR{sF9_gEsfbii6~HCR6`yO(zSpwP{Q8>Wq}d~lI$7oM6Hd2$4?HGoo^i)t6}>x;p{P1b@^6f
zIT%>0Z{cyn!R?EeamNKCXM*Rbw3+#k&$}Ds{Os;JA96NXdh8Fk9Xpfh2aPoPmU%q@MerF0T_M@
z!qEQH(1%6XIOTVMe;mb`)6<<0eMf;y6tXITyNEAc094=O+alDzprD90`KQj33zEgg-?6$Li5i>xVG|
zwey(KinNQ(&GSSDo15py1)G~E`?=G|+~8`yL|OK$(Ej2Snt}f6v;&ax;2YZE1Vc-=K*+O|-q+&iPFHI)OY
zZc%EyGBkBm5e{nBBB&TIh~eQRVW>L~&ubBiwcT$P6G`Khp~068O#*SNQ>1s{zjsjL3)Le^S9*
z1PbO_9o1}6Zi2GQU>h5zd#!e_2yS=xaqhL^@d+wo^ymbiR3B#ObwQpJod~i6><@wcY@jBPda;4}o(N$B_5Flk
z1NGTN1V8MEQop}Kv13ts=G$|kn-ef6@)l_?lm3QtSc-Gljg6S7{2mi0m&xxzLE9P`
z6O}dk>1JpxaTC>1SmMtK`3+HviGD+5;D5^y-I$;Z(JQw?-*%=_dbAg}e$98+k|$$4
zQxjp
z!Sux@)UG6Ly1Ng;dA{^df-9+cw(ylGD+0vq>P(!d$-@rEBLWGmgySG;^2Y~3)a0o2
zM>_8k$x?>ElNH4H^MLN=2cu?cZy<3BbbuIykFvSg|9ad=&)LUG4HQ88Qj
zIOVdHk5g;8ySrWv2rP#sA=~G$#0wN+6Hz8RzlmrM2zzRjK+wupi3V2qDtSj%xZl-W
zeJCT^+Y5>F!V`RsN}@!irkeM5&z7gsJsBc1TWM?tfy8)01#`bfX=vTdY^AZ&@Fk7S
z$W|IV0(j|l6KTP&^T8gyAJL>;*`%!X<=)qeCCb`ON)(Uoh5`jzj32;j|4NkwEI-__@^7=%0Q0RJvex~S
zz)#kUuPjs7=AF_Crh
ztqM@`4wIB-q)ehf$p_&nfVC>PW(J&$0H`^ZN3OxJ8mj`q%+q_*26`Abck&9WO7xFEXTK-J{C}$)t;+J
zQtkPj{^R!i9^9VoR(n3#>K;eFK=QlAI>_@+xEssyH66MvSbsar?Or1%oy^5w_e<6Oy<
z8SQO_4B9eP#9y}gWWNltK(s7gJk+$K?h)2azBw{iq7NYqS@0pL8DEU3({FTq+c4x}fPay(=Su8bv^lgoQ
z1^{;B=Mk`K{1|S0HTgWylVK3Iy=Pdy|zRdz%Wzcu{lm
zF85>NYh;s^IEPwk`xm~xn2xwUSsu*^uMeMy9i6`b8fZD5qu&KNIzYlh8@?P3J|~at
zb`R6eQ3K1YO&e8OoJIA0@g5XvBmdy|WEHPF$R#$s6%wtFAv%?aKr5RO9oN3mB|`cX
zTU4#+KNeN1DZyssg}v@kETe1gMA@PiCb|C{a69FRW{&PSjF*^a2kv@Lk=s605^GFF
zT=HUbM;abdrXn2AN8I2gMB}h*@sb_S?~Q6L+D1)L!_uV#m_+~?Tc2(?${ZZATMr0Z
zgrf*riLl2M<+&!ba*T0qr}Sv=Hmcf+=YQeOk`>x3;$8N7^p+_qBzuqwT1zhn2sXwG
zYIp!Re9%1=@9iPKzIYSFK(aFOB}8TM7SJq&1PG9PSlo<%;SjDbpIgw;Wu@_UQ<;E>^4<(
zz~;bdRor!|65r+y7(4*S;%kJ}`e5b*JP?sd`>y1qhq*hC1pl?mm`Bb
zi=4J$cr=cz;=P?5rdR@ks4s4rs`}zXR652BB3NqUQXMnI0hFN*xd%j0hr~B=x_gm0
zj&wRQ@;cIK)^P%`fznz`zYCHU5O8P2m!0)JQ#E<0i(>#`<^g>d*hB8iLtsyOu{i8i
zxO}*H4I-As)P#ssVgjKorZ4cNj`#)D$zn36*WB^G$=BV(
zasT4BkL~VPd72s;j=bSss#gXQtEPt2NG=m)x1Nq#0)<#E<)`JBOBX=ca%o7=N-nX}
zlw2zHa@_A6MCsAq0aR-p`C~5(Ons-ZbEi$9v|2JJKE&x7OT}WmsF-Du)W>l{n@{
    f{%&kqHAG#pK>W7@`06SE)~@jRTudP|4!jZL+95-7gCr
z|68)SZpmWv2k!N*x|AO6O_;8_2lfjr7xB}Tr`>kC>J+W1OpF&5vLIgh$bCWdoz9*%
zc5z%d2T8P^j_dv+<8Ts${p=|gWVR2IgdmnrSAKR{rl)mOE#ws_fW?GT31ET3p6$cV
z{0Du^|LZ}_VE#*#B>qc6&isFg{$u{XG~L$^`0avA4+@8D`Kfz2b%t%9y6+XIrz>;y
z0S>g#5QIL^MBbO_C@S}6IFj`bs5MI7-%R%nGGTK3C`Sze81549PUkKW;OG7gFuO~9
zLnu_2cweTSb-(F!&0qn9$x|2YFm2iw?xiAhhUyVzRR#z8%23%DFDi$pP)&{*TtR=)ogr!eW>g5W3KR+s
zm;B_ehS;vZiVprNwCOl5ftqM<&HF)IVyR4+p`_8hRfIcqUk?lNB>Ct#6!j{YoX;&GpJh{(Nym%z`&XDMi6psvd
z5=e{}M8ppCRFh*TJDwMzGu50FZ!xe@zhtrP7bO`{ai;2JEDKiJ(r?78EG)
zjHUlrJY#1Dil>d_PIKgRu~7Nf&+Z{s&uJj<`^DW~ESjmhPtHusgOiR1a^6fwH$8{i
zrYe14WrIPauK^K-3T{}i*MebLEO^F-;{`sk
zMD0VV0>x5P?hElKV-`mL#))hGidZlpmIX7HD)RA&1f!Le*jrS@~u4Ai!){jUg0DR=sB_SCxWD
zkVdlN)o+_PPsBE>;;AFn-(ziLm6vluMv6nTR1Y~w1!BCQipBWcP53eIp)ur~od7}P
zoZ-vcJikUdZSy>@TE_15w}20H(6-X=f*dqLLa)T1kZb;d(K{gz{o@`a;q0lk!?rOLNRUAY!#f^B=sVmegZ$4TQY#0C4O>P^|wJ0$R_o+B(H?as()Rn
z{&f-&j~HJQ9jy9a&kk1of5SZX>g;lH6HP&c1N=&Gd43ZSbCj-|@>D5H*NgGLO4qLw
zA5@p8sQAqLJ-`qGaI#&}UbYxT7U9bPdJWRq5poujlGU)JhHNGGk%Rc&Cc
zUIO?)0VUJ#g0z~D(4A=b^0Z^@98Lba$uXJ|SX9`IRtg5H-yEf$y^&0c{fb5Ci@}8M
z@_1eqC$VP(n=iF@73hn8P}b~UEzqBWLHqw4T2;Qg#nDcL%w_c!8*#vljK?SKf$aViywzVHcZ?FxBA@2kdqEuqyLN#(
z3U;Bqt@As<3EHbR;t9;@HlkWm_jPmgtNUkwuuc0;f>x$|!(65Abz(f@T|ZEIwD&ut
zk!gQfV$--ykSV@~m}%Sb-%32r>r^_%yA!vIz)ebc+A&IV%iNlO>e8Y
zx&SxMZKW<)8(XO=_O1f3oSgTNr)((Y$lNI*)wS{d@}kRpxh~#QiN0uHb-B7%Xm~8@
zuv^iY{>^uCslj~iHX(GpCFhW%icIfPBwZ%ecNdYL*Y=bYjpkEt33z5xZxo17onIPM
z$5XE4CZsE#JVgJoO?W6DPkyN5>FVRjlZPD#v}gV7(DvpHO7yJKpcCBElOGk0LF9xl
zn)#HHn&P_6qm4ZgIM$&>Yv0S*MxGwx&H31ug!^J%m5I$LtG=g|xCi^8$%foi(89=3
z2aawMczsbeN1ZN0b|C0K4Llu00}C_}UpnpG#sW>0xlMuoQu(l0(ZhmAnLzlzkHLI-
zE%;Fu{0s|zQ~>-E3m#T+@;*Q^Ro4crzs~Cpg1S?*J
zSl5Tg>wEpGaBRM^$;(bSDvQ0yC!4%eDOW&Hp>wX^CLbecWs{$g=UaJBxdtK^*0_JJ
zvc?yaJhMd~&_FhLe6AWIy;LT~i~9KJ`H7t;nlF~3$e4>i$iWhYNM
zGR0|&j1Md_@MSW7vdH*>0BeSL_oFFv7X6pP(gQ?H&j(D8_JLg99-BfxP~^N{069}T
zc%Hz)?BRW(?d2CRQ*g#%UtdpxOu#c_T4TzJmzO#hb!rQgRkev~x}cCu0$v`V@Z|vt
z-xoT0PE&nsUdt|!d_LJ`(U4CZ4`|o~Ks1fBXc`wl(_*HHH^eN+N7K^6(geIr6TVCn
zzR6uZSyUg>G$tQS^FDK|!5x=O(;j-xalIDG
z3p??8mqidk!LI>!YoEFl~JPeYWZcJXQ6=
zP?1YJ8g#=cl4a8{aDr9G5KbaABMrtg=e?0KkSQO-ptiM?VTYQIl
zruzop`-ge%6|EO3U%cfaO}1F*Y%df3b~KY)hhd<*k>*L!k#74A-4`kQUi247OVJY8
z$-Xy%MGRiw8Vv~B=k89>%Dy*S#6EZ4rC%HqHP=+ii1toKB01en(>?1&)*==ATDC};
z`NdQw#*1ocdYQK=!-MxuH{!??otfK!FBY1##WH(}r_$Q2m&3#YAfxzKo(2D`51vE#
z?<`WGFACvDPefjUcK4kmyYFKA$Kbh+u!H5hXS=LyC5#cDb-7-pP$-T>4`6N>u+
zkgW6};Q;=23tU7FjBbal0!8x3VkMG?7t0=+Ck`UF(X+1(T3I5+3AK_4Xk>}(!atwi#pC6b~uJtH+&B@}{4Vwb2+vE@n8iYo0c$}Len
zqu~A(3DZRTC8}ej;7c8&o=jXqVY^YzVj=+;sb^$Z@FRTi+%sk^
z3FsLy$SY6`(*R68W3pAj2!91y0{@Sr;zTM-HTxUu?GNDIP^St?fU8bVM8C9s_Kk$2)+2
z7v%9Sm!A7QjE6^D;QM8zCksyr=C1Z6iX|Y4u9{g0I?3Dpa+T+d_}rr56N?6X+1tHj
z(eTSsa0_nt$rptn8so82-A^8GC?26#ajKTMXUC>T^*?Ws!=Hm=MbC3g-qAd^;ArLZy
zs`S+sDO5@rr6R>I_{Y2>xh
zo|sU|QPGVm{_?`HT;6&JlY4x@dMmndh4`uZW+l?fKEOf2H6ZUl?AarJ169Gn
zjNby`1A-YnflRf&7yZYr@3lO*^;5Ta`uhfrBXLE>V&fe*f@3?G%dOZB?!-uxk0inY
ztFzU!5}q=Z;d2c0m$UT>nT?`kpm6xxmnYF9VWYICR8mga7=a{yoGni!(d%wV;tBa|
zWYL5imD=o>g}zHc(*AXd)DW4-Co45_d44PPB_M2fVHQCvE0wWaS*gK~dERyYOzF|y
zi&XDE@%?hPPuTT=pVpq2n^Ypki#pjxeYV51TZ@v3doa~2xk7bGd@p3d+uK<`qPQ&k
zq^E*bhYG04RV@^v=xE{!FgsvN@pr&mpuGY%?w9y-zr?rcQ=YT9iZpvK3|7Pn)h*pC
zl))k+q2b6o5tMEbgfH0$4beWEj9Dv`nMhfoCg}4EOAc@`IruU;_>!5>(iJ(w{p7Hf
z&{wFgc@yHJu6YA|qhKgvSRh5+fp7$ME0(gQ*ty%Y7I{MGgB_5HyeG86;fQ#~@%f5?~M;i4>}tjYP~!yPL$U4DKey
z_Ir4fEAMCJ&QLz7NJ;rc%OVT3Ml$y`_`UU3s@<-3Ztw7VKxft2R-SszlPr%U6&XMU
zS&!pa=GWuF0I>DAEdeV%PFSgW{Oav^e(6YZk(Ev_Wk!2(aljEzqF%>eG-D-i>y<}7
z^EksPSv9#Ws-&&i^O2;QnnVAwMaWT2by-`p>#QX1M9QpdS}A=}x(@{|_#v)^+>2{+
z_^KxSW8u2jhwEO8ZMdE3a-L@<-O{veb!Z2fHrv@kCd_vhlQ*CD#EOT}^6@3ciXAKY
z_A1=ick~dH8b9gArjYF`acYNd;_-tu+2wT0OAosmLA}83@@unJR@70>Zs0Ls+*Kk{
zdsq%T?5T|F0!Sp`fd!NRlIA)Ssrt)5hDVF-mLN8>Ak<|`lzFm$ct?NT_D0jKEQM+^
zCO)#QxVBQ}z8+o{o8=;F2yK!}i#mmU?`<%sPmwnFWuIf}E+FNy%+Qt0{HQO#P
zV^0;2*S7|70-`P}v)*%-E7<~&O5QE$KbCjPRjk@YBR{@}`X;dPHtr=yJv~WY`}T`C
z8G6h!LG%Opx?W!lTSb0}b+;H2`Btr7t7NfPJwJ<JJMpy@*DoY?D{9EJUAGa`0=O
z%3=ZFF`VkbMUK7`o+OLE?kP{@SR6pf{h}-2ul`?Y?;RLb(ftp5Cn4DlNywHPN(dzM
z4x#ssB1jVvMY@EtAOTb!QGtMfD4jrtA{|7eNN7uy&_R0dNE1;(z={I;e$JV>TOvN+
zJimAUnAtmb&Y91gGjpcinVec3c=^R1#|qIJnWrA-sJ)K*V(EA#{p))jMMBpgWjViF
zjySPS%YQW(k^H~Z@?S`KXZeHMkNX^3hyjcK7@=08Ts)pd|6sqPm;F2i$9c{oO&Z&~
zcRA+R`22^(;|;l^cUXNn_$#anE(Y*v(WTN4I#R?Vl}YjYczO7eV=0a}K%b$;1aD`Q|iFJ3PZ2
zcs>n*rs6!Y6KD~!SPAz8Mi<1FvVk-Al6x1V^T!f#8}Uyp#ablYDd(Setg{uG2#&Z=T~4{-
zC@JZz(5UU42*;0~=>JqCGZ2Q7OEnNHxm2frESKsNm5o7tAsYi`Y-5I9^w%0`yW|)~
zD}~q4cD9&EwdQ{A76e36Z*%Q{zPTk
zsvWDY2GowK*BtK}>p8QyOXRm}$ZLk5>n{3h<@L#RM;a}Q1m*Qu_VRipD6fGjsJyQ5
z=XLE(N1;fSFz0oZ%Im5?RGe4yZ^|L(^_fXlUU8JnZw^ysb(OK$Tkn>mzJcCy;(cf{
zc9N`r%dt@oyN&)?5{0RuLfJ`bqNC&_+2%V(8{Bi`d(~u;8Y#3_K{Qf85Nd===1+-A
zz
z?-PhN&Vx1?3GpRvQBG#ZQO8c=*5UFUM~ZE>iaGP2G3k`)v6EDj?4nqzD3?G^(EBo1
zBS;A{gZ^=$$zVZ7=!$|AxuOjI(a`}?J^rJk6|E!#Qe!L|_q^|T5c+2`G@697E^WP_N<6-+%fxp1A%e~JJ@;v>u%3!gd9rHxt$-F{rSnPq~|89
zp3pAF%yAn}_8Y0)fw@xkwKE8n=)2HA7JZk=K}HJ9SoQ^fcXW?reX#b%FO~!EJLb!|
ze>fs!wTGBu9Wt34xyZK(Ox8GWiOG0P(|Y6KlZBr)9^J7_N
zWfT28Js%SLEQL8`GIxz4eW#70k0Aei{Ozb`;B?Y~F;2acJbH@k|F^>{KR28?<(G!D3l3+XxBQt|QJi(@EGH7D$d81x
zgVDhEM%0<2EJZ67M3w?UJg3k}1<{-Wf>^F#KywO-(NlbRNT9!2q9T|R$4Z^T_8~6JIop<|B25X3L;_6(E9$N1
zqzFo&3BX4J{R}}$pv&kV3v?OYVa3I+Z9~Kqx&moFWZA&xY-eB~TljsE{(K8SXI+2zgI3efebUrUr+)nP6$Q-7#MB4ql;o<}f
zu3W4i>T&vO83-BaoFMW|&0-+(OwE>oh@Bc_AhtgxjQ|6&$*-H|qMb#e6b_d9)+wsr
zMh3z=H`;m7u-Bi;8mc>0S%@tRnj_bm>bDSE1Cvx5Xa_>2ftTqYYvARnK^oY?8fYM=
zIhP4#da4PjDI6?_-jGf31Y++%yhE1Nj?GFOX!QriIx9rB_757~
zlvj_S)vPa~^2P4+QSSFq?pKsNzI-Ga$+o$jEq#N{Nqxe`ifdEVVDr1F{=uekP439!
zEFE%rD(|wK#uEVIuc>OpiBL<(Pmm)z$GJd0XK5VT*r2GkF;T&BGMc+%<%j*k-oUAu
z6o)(F1=5r~si1<$o*;w007G{?#2ZTk4=rlDzz6>eS1n4=|tsWrb
zWtW1ej2Bp|`gG_|)70tE8EJevG>*t66tcp+uyW!HAfwUowlsA*^nx_#mq*9ZY5H{N
z`H9XCFx?D{h4{AYsH2FZ2ak)=$kKWH7ILmMZ09H(CtVZ!GP3oLk&Wf#BF@HQ5d=c#
zB;vTeqRz_p+Y~L{12yr?>cOJU4kBzCuXY$hHYkI=7eZdE;><4-+J;pUad<@w9(ksz
z3Dx*%Ko~Hg8iY7-ge<118BF*zgBc>G8M4ffuoeOVywdSEBuQ&PkJHqY>Yqcx-V-lr
zB&`*a)&WTRXe2$SsX5gO)6|@5-|Ql4tr5ZJIaT<}OF8=q_zbAUv>-s~L&M$_3pAcN
z3eOzIla|`0n%JP>tjz*vV|L-p(Qx1s9DKC7qO9{j0*{PlmO^7ZCe@b`f265}*xU4|
zb|`!U0n+ENP%uxcUI?m$JV96iLgxuW{Lv=FHr+BIw&`q9sqPOfZZ?+QHMSVJr??p-
zD_3yFQ}C2__NM7ooGs<-wYGvH_jEN=m^fX{6ynh9+EkFSvs56Arwa>A$E3_U+afhT
zh_kP2I~znH(6SD7zyouGA-NGRVS}xh@d8CDDDN*8MYF_fGr&EN(xmw))cND}o%uu_
zkXzGHcJNR$v@)ZdIb7DM;*1q>(^Y?~pFfP4x(QABkNXYpZVzQ;D^H(OuR+
z=Beh5MP~L!R*vjPV&R%cN$!oTBPUgJP9+vRIW>#2pk{3PPv`Ch<^_A%7Ev&L7|)WR
zdmE$j1;$i;j5rEXO%U>rK8BtV+=y^x*Ei8Ww(FaeQmh$4aO0lalN!#Rq!FGGoKzFY
zPG~J$P-(Lk5Jpf6P><9GG^
zWW2f*oD!Sc)cVd!;%}|>BTDNB0<@0tRD}l4&%{BX-|9{iZ>Ov2$8imvtwn0Oyxh?F
zJa*SGQZ})}(v_mer?aAS4oJ5Y{kQzFk@E&|U=`2B3$5Zo>8#?sO`K`Ar4$_JSwbw!
z$g5493&o&xWl=X%m|k7+QZyDSo7Kl%LZ{HB*7UwU9S(dvU9DQdr;p~1@9AA-@hyUB
zo$3yu3NWhyD51-MiAT`$!Vr8mV(@X9@ms{7&Bl>*Hewj4u5RX(*s?jWwFRM|R1o0P
zx;pl3;$3A?MY27GUCFdPtGg7Ur`Vzs3L&#+Q*+)UXa_5l1|I^-gLDDwhn56
ztqvK4TETZ8tZeHXLmfyE`F0gl}
z@HkIbgwZ_v(PE*CL?^(YQz71-!J7?igD6hCr>I=;4*CZ?74Y>5_ek+E;?Zu2F-Vzq
zkHCjQ%gZ^hMzs+0@RE8EpWr1G^#x!OSkybxGh1E)98lE3g@q2Eg+6A6A*YlI?L+KY
z=pR5jB;-Lzj@B7dW~c@cu&F_ej3Kzn?&8atea<{$-3+zNxQ^1~9`!By$CmdN#7CRz
zpcK9u<)AjAs#bGz`Zu)4%_;t9`k#IDKWloj($udm(Z%_K&t%W<;=Cv#XR3zNjb5&9
zIMG8+>g_Bh=TEfd2(isnEBxsLoH(QOURaXMJt@qgn$nU?leT(Jktjs7vQ=Ux+3;9-
zW>Q!QtbHK0L%pp^@0f;YpbhIN5eW!hnymZnsgRv?7?*K;|9ZtF!$>!YnbEv%#ARkUk0?H(U3
zLYVfXpLQ+NiY7DZ+Ph)K9YuOulm6)=MF^1!+bo{HF>d?lcuB0|nKVs}DO7%EhIJP&YuXnzZ4XV0XQmybXKOWx^?H%v6I98*)yAkC2)E?hw74Jiz&}$bm9J
zQ%+y}9@0=;n570E-^@~1(|kLNmPMQ60|xH>JeZ}%9j9kmb+87so$yBp?zS4_OvM}~
z;OTKk$ZQllWjM~xk`HP|yS!h{4_g*ukE9oIo(OCW`6*7k
z2j!KU$9wNM`-+;gmDQ*^TUibG{BdV1gu`HpfkuOv&?n1P
z<&;s*;vrRM8#3{;uoQuCvKiRO2&Sb(1%RbC>AUxwlf+mJWRwO19~uZ?g@L8%a;BR)iJMmi6QLZ2u_75GFc3O*~U8p6r4
zSN=qe$RHR-QR9yz-LIkvp|}#A?zKoRYTgSA;D(>9oJ}%WI=N>
zyJ(0J2?#!+F*eF~$2oh^BZFC=1qzH9Ol$$Zm6;
zc?C%g8YI79nsc3zLnh91CJ6z_(If~;IDd0emTI0poGd@=47xSg%g{0Z9D;=+ATbq{ip0E<{CK&*Kc0D|cf4>QTCLI4*o}EYYK}h`HRk
z#3wq(KXvxPML51Uh144nHdpNe1Xruakpp)>sOHEaJI-`gz(p#^2=0RTagOSBq5;vp
z&KKtTd!0G(UpF52=cx9n+$?7sTL%iq2YQ^g`flJ2M?}4+!LK{p87A7Hk3o}JZ)gJg
zl)ytg;ypmdZOgC&Vbkd_WMor)MLh~Hs8aLz&WAez~^Du4*_s)
z&sAfwH8ODl#$tD~iwe9L6?`sb@Vh;Bx#ZCW&gKFSjO?f%8IMukgO;iL>_KGeKKH_V
znooj^c|PfWkk+XKEY{3b{pU3VjQh`Z=HVarpX>O5Exh;QTel{_InWMZruK|zj93BU+b`B<=3tzeUs#*XP
z8@daGQ5(7g^OT|6tHSs|cu1EEVJi}=8pA=fTnGV;_li0Q8W+M(=pPrtPv!>~!pm!%
zoqdJy?A5T>uTceC)*nXxR0zca1|7ucp{PUyZQ&bRhrj~&C&}??1rF?}z$tcot|l`cb{oSayyH@rNQ_H~m<39iQS_)!
z_Xl!T=Bgm!u`*v=pp^L{L1AT%qJON+Q44~VDYiMgvoe2+DJ}E=5cZmwgG}++9}6%w
zuqVQ&$a=EHoiH5zf!CNu!SSAyXTEe~g~~o(Ix>?4sLIxIWYB8Xs%JXOiz?GE|(JrrAtgRW;(anZ&L`)|5%^~L&t_0zQ(LE4xi|@69b<|T7eHK
zE>8bgpcGhPmva=3|JZTbs;7|)RXv68n@+(QARIxR0fGqBdKF(7tjFtM{8T-H6B`cr
zTub4n?s4`P@VS=S7pf-Vp;qFr0ZP1qEYTrF>4e%RHCAHHg-VGv2?r~&AN^w`_FL#v
zB2TO22%5bh@{k@F5%IJN{%HCkKKdb=-kMe^zTa6p1p8%W!dK22@~GC+=zBv^4kwSkeN;AIKCfP+TU7aNPtnUZAKK5%oUh#}r`1Q`k8dAs?zZ
ze!Y;VusiIwCEMH-9OrS$5of92gH?*iag<{nQzjgDmWvu6Bm@5)CC(g@ZAGA_XY(ODuP^%fa&pa>tQ=D50Y
ztmz36MI#BZDq~$1sbz{KA>l=_?U1v;+5l}p9G>E8dD=M$hbkaWO_92YXMC^?0FN}q
zMIkizf)G%2Q5t1>(tjy0cVSA3sK4P51%6Vd|
z5{!%IXb1e{ED_=vut?3`)B_G`CTcG77nYC#NWMa&h^F#>M0hPx8=1D|a15Iq_#LKO
z?=3c>RDVl}H1ve+sz#GPh!(h}~}
zQz_UMt0I$xIJzL@SjPoa1wTf8#k?KBY3Om5qUcqh
zQ$!W-0UU0EZ^wr3$9yH;R~EMc1N}Yu)ja@9{mxlm7)w+O{FllT&ufJ&0my)LpD)2s
z)pCLl(AI`?u;Uh(*>MZZ|2pOk|A~^~7Wf-tTuPjR>}cG0oE~)x4De*UBij*REkk+S
z=E@^tmnhpEOGwyuH>H1E&zoY^i>Ab(XYSI!dKV3_rSxy_I){jE$P;~@*J+75>XK!a
z=?M>&7mJ4H#3eW3GsHWHLyH-2Em2*m0ZZh(NZ0FPvJM{)pEu{>{b&a^>mgN|*Ilth
z@5@`F_K$&%JNcb}Pv;?JiLV^AH#*@uXctDJuPjmBFMk0z2@0zKq!6{Td>xjkOM{~e
zg~x~3uhEM*&(}*-%Z!~7OWhX{lTB5$B{bh;jfjuCScu&d_?}Oi+gAF5>oD$+H
zD+lBcrHjJ3yPxw@b#zw|e#HlWB;pmd+QmK%*8N3rd#dh<2h9S(r&c>8=ck5TUNZbK
zuD5z7;G*;KU&++j;W$R@v2!WKMa8G8-|+ydrlIJM&ZUck4C#m!(AlPiWl
zi>(!)=A$-{Lq2L_z`*dhxPR5dL&$-?S^rfhb<>{|f0J8ysVWu;OM~Ffs~kR2)LN=K
z=GB+_WXhk~)j`}q1MshjS6-?P-GkpZ+%-tRXHh0CRryX>>dQBOm3xV5L*=LrR76#U
zM`hvO8Zyh{ry8VAuJJ<&1lRbXOM`1X&Xmj{huU4Q`KtY@>fuX8I&y<*Z%p+*h;TJD
zq;R+j%Bus6{9+m4-~)Qty19|A9%2t7Qr+JHpX&HYyrw#iXRhPdma00AXSVlCWansC
zfAOa#`%RPCK2v0P=JTUsKT~9Q)?}q(Kvw=Um0D@|lv*84hG!;guE=P+LIoF(2gDL^
zY=xPU6k%&9dT9EtntqU`$1~HXYWl80^lX%-lFpT!7ccc0rINCx+f`OfMQ*9ZpRhEm
zWm@`~-!d&G7RoYBTFULe_ei7gA%=ZDBEd4P{Y+UV9Nj-gtOg`H#cKa&s?6=7IPo5&
z&C?HmJsZA8+(0&HS@!GCR8zFEpesfWPmOF~e5P*CKsXtqKS3K<2EU+Z?rLUfgun>b
zgjJM|Vy?=>l`jb6ySoZ;7>qE6jqk@kWoYuxxg=$kUsxPyP3Tzk^
zd`7hhs50AyM+rd*5GstdgHaWhEnf-WYWxxa>b?dApF!E>gUYUwlCP=^`&>SFH>M0e
z6z2(`oS$b?hv3D?;4`xO%g{=72tO|<5dwBME3nl@15TH3)U5Nl(jI(<^l|{Cw!x5I
z$u1=DVo2}_l7K&=ylVydT%>A(uPRco2Zd#3GZ8M%pw44f)YwCHyp-69(nl>3R$53x
zeEj@Oq_654_4>RiUBj0d*k(cz==^!{`RB?c&-`4OWbojo=wJYk{Xsk=w?|j$eO0PG
z{>JEE>*A%)RbzBsC$`_87&k`Y%avgWT^N1WcHp(!+xm*p*I`s?RZeK~^ah~M}qlNFF9;3dj
z?K51RL6@~39`D%C1yBl(?0uV^d2}2|V-1F93>uMtkv+CTp$8x@)r5nrwh3!?Q)!DJHU$_(+qD
zR%B9>jn-sKG#Q?Wj5An&vuGi{)O4E_-62i4d8LeWMV1v8G##F;glvp@7A=MF^hXOtj7N)j;Apo?9zKd{)Kd|6*Tir6h!H}frOjECG9HPT
z3&6nbA_XVFaH>)hF7pv0gbA@TiwN;(rRwVs8#wNjARp4iSA4_>Vd6WA7>`73bfqey
zw=lJUk8GU`NT>jOnXIvSx{+pvJ*^?+@yayn-XWYx4tFhj7#+dZD5NSN6$~|88?^RQqY`$5BGhVuQp`L?C{}6bGhSP6sV@aM9ch5
zfR>izQa%YEB<5%kGc^eK)Nd7QG>9)&tD)i$WQ5MUT9;ig*f>XEz>mSq1enyh;s3#I
z1_qO!1x$U1ZHD+>gSn-_z{i@yi{ft$=5ZDI
zE=a_I{PYB^i&w^uic5#3mbxLs%Gb2gO@Rq&jDrE?S
zGnAoOpydBN{3zz~7|LM{<*@NChIK4C+_*{=tHJqVY;Ec>JoL&kJ_;JyNk4+Vw1$+k6BMX@N
zPh6eEMh#}21_PgEb6A7>V4NrZ@*`nmw{2_q
zI`N{0(^A8M?>OLYEqZA*lU+Dq#BhiqO^&t%oPCvT7X<0s#!?n;r}CU&v065
zIL+4u7n|1Eg#$(m2R_58vd)md*R{>2lo(FMbv`|Ho9((O#%LrXH4^w-VrFY3GqNC=
zlU*cW#7KxCm6(x0vg1(r4uJqhGTev6YdGBThB&FA9Mw?Zb6vWvp?s4C%Jj|3
zfDxmC->q-1;@G-#^fT8B_(FlP^z>ulHH3z%)!ai8dM>nvP;NEP+=%__^$aPJRsBGo
zwOR4GYpfy8uUBL5Gw^9I+#V#QiFxe(yC(j{N6aS;N6H3XSG?qFOVB;z=^DB>Fz#PF
zh_(%C2%ckuO6V7VLVQwRCB>1B6t`E{5QtRv{lX>Dk>nKl-jb#peCp+Sn-++ltzK&5
z4QdSm{-xEfQ35^}vIZJdg$=&k^BO{a>ZIwDJ(~sf=XquTIp=AcA=EMDX`2azgl7gO
zYzUqic(lehZBtTWX22o0t#^fc=dX3)_ynw{kT_{sUo70J&?67Yj?2WY7{k*A8^!|;r6qrg$YYiD
zvg0OKI}w5L4^20O(HANhvgYxsp)Q_}kH-bmUNzFiBM*<(Z;)N0U2lkbnyi*4YoW>T
z%p={`G##ETy3#SAdrQ*|&~zg;9iEwPvZlkcMaQ!Z%QW2*P3P5gc;*rE9!-a5i;kxo
zu4uXon(mIK!!y(Usp;@+(eZqPYoiiNF8Cyt#EoheCYQW+0G;3R8Wojx+9Z-sVRml-eia46|?0!sCeXB`tXwqLb=?#@&$R?FZyw+6mE7yx6|0X4x
zJn%_0r8X(i!>)qj4NZzTn)LBu
zkdD!$BQ@zXO*&GM<~a(|g_;y`h*Y4k`eqQs7R|t`8640Iyu_fYIIC&#nrK<0G=U)Q
zYq~p{?k`PuN6|%YRzkvSD^1`0fhdY;C#qbD@JUpaHmk~oXD;mxG%=nnVqQ#JNCr^N
zLay83n>$F7TS9Hc$UyM4!JG|Qrww{<_D>tEBNl4fVBQ8bZSZjp+a~*9#KE+|TbqOD
zY?Z08DT0BUX(Noc;5kfu3
z9kFDyYK9h4%y@;&TUtOEU+*W3_}t~$rm<|!f@OPlv49a{fzOItyagM#a@)ScIWH`j1;JoG&SRS_e$`+eXfW^@
zOazu1p*SO4KKKobvXQg5i9cT{z&waNx6g#%3;x{JZVyLo2u+Zx2f6$pT~K15l*$e*0!M9Ub+6ZeDd#6GnkZMFfBKQ&l0;dnC%)2e6CmLG?>#_z+A{K7%*bVz-Khu
zfre*LCEd7hi_Wr22YeV1
z@uLxO)h7ZCU`AovXERRH3t
z6a+A!mwkYyM7Wn4Sm*Z%=Tl%Af>Vq%lEGR)E2v#Bm{Vo2~A($9dzQz-~w
zNcV#wm6+#xWHhE^b@{2kU6mjBRHAX4Jwtl=ACO+lE+lXwNJf3RAfLNX)#;$A3}Z?FtO*(xe1`R@f`x6@StRvYc42`N!-kyX9ep1KS2GOT~Oe}pm1^zWF_!O(;DP6rn7!bV#8+s
zT1u=%$C;)l7NVm}TYK?wQ~`H!c{LdW<{FvYv9wjqR2@riYJPVKLo~}&GaJvrC(^2!
z0i-XB-ipeetf?>)u+r5*49(5Tm9VinQ9}-`by9=L_EF)LwmUoUg7(B8tLToA^|nOU#{m<^E28B(ix)J&xdaA*
zil0KyPaEKX6V)Nbi8l-~&z_xaO$FYu75oz5Xwh{GGDeH8<-6EE7OtJD$mQCpsx^FW
z)Jq_oI?F|6n_BKN;@%E5$SJimn}EOvU&Xs*oe@#_Mg5)f!N-ou*#5*jB
z0xg3QDAP9k3E(54mJww|A0Km)fS`n_&Ca#ckTqVnjivy$Baw1MH8;MnT!ho7AOfBv
z-H38X#$YK*5>0b1hN!T+O)SQD542Xk0BDo~d5*MIvMtmQ>vysxF|cw~&0R_?*y*F?
zDbkag_Lz@$$E28!;x=H0M^+(8jyN4vPL`|TcINw6ecmMAh0-6{!&D;2{E6^xwp_au
zz{p*J0Of=}wlqQgUv{vUA{R{{uHh@I?UD<349Yo
z=fd%+or8&jY5(J+{g0-_XK*97<7mgbdu&m1V_oP2AyZC;G^Ov$>dBbHwn&+}-xezG
z9>teHV|J-8<0kLo@36!S7L~p}0)c#H-vnfvucQm&5Uo!5T)9h~@QFwk))ioiPvk!8RWgat{xF-<{{v6J}8<>@G
zyS$6PZAy98-Ph)%;5bi=G+uV&+or3w98n)p?yQ)6XkX;V0U4GL`nq$=)+232VvB=V
z>81qzW4)Hx&3d&yhXXVI94@>mKGubHc9adx6b*K(FX5i2RMmx56vhguv)hpK+J=sm
zncb1hq=-<5`W~*cOnT9+u2(@6OZ=U7s}JJFRtSBLHa8=RIzBNt4h~oygIz&*t-iY&
zwp%qp@9tJd_RaFYN>{H!-UW^$6+_#iru)cN?N%*QrV65#2|>JH>4*xVmI*=JGJ!d_
zOuNb+lhJ?rcSd
z`J1;0nejUQ^EYpK_NXH9n6$!00_^TJayF4)bPP>Zl0DYIX(O&wI3i2!@u~bT>3GS#
z+*XM~;yg)|g1*DDXXhZ=zaR|y1ngNIg%)cX5mmegTH!X25B}?>-t%Hjr#-5nfzRLl
z4_5E!`(1n%#~I)+!QKI%Kx-A4k)Uxk7_s4pPljK>rxO4%9$V1GorE3niYGRui}nyo
zGiN$Jb>%EEp5=SwgVmVb0~{KuK_Qe|hJ!`|@}wh<#z9Cl$G11Tpum+u!ROX!`5tu`
zpn*NPgzB?kRNNjX_Y56|Z*ct39%@m+=apW^UezW?%PF2Q*{{DmsQ=l9h+t4R
zP;Dy8&OO{UMBlxt&h*@?I&}T1r1SB9D?ny-=!OytWyyN)Rc7_oW}(|{n<+fbvoXD=
z`;1r*7<7`r;k~L={fb`3dyuB11J2gG4xgr@uOKBlvI4&E`*ZO-UQ$Qt7loV3ZmB;&
zA6RzR(X+0EL1h=?sy=RJ$fe{8gu^HLAqDQUTqLHY#8*g=hB^D_QEwjyW^QwP6IRvc
z0x!3@k^5Ae8@Uh3a=TfV{;_SYyHB;b&<(e_HG>Q(k%x>!S>?~q@ki4)_t7`k^swW6
zs-NuVu1`ii`nYYj`ue;BP}0}uJ@zRJ-%mbxOIvtc*Ov4aEEIq1+-;vBa~;Qbw|sTh
z2#Te?KF13yN2%aN$K!TD+>{fx;>IM7#w(*y!ST3xMcUlFb^}VXr>}wD*Sz9o{ekW|
zqVv9h=5-yuXSSMGv3(z3mSv!$3^3|Q>TO^}ZR|m0huYXLNEEC~@IxD$fsHB1RPo5m
z1Y4Cf>^~dkcFT9(au2lKqTo2sO=6i8)hQs-KGm>xrXZ!jR5@_CyH@NYgebi|rhlxr
z$4c&2n+iVMrp69-<5uI-vg2U)Mv-&BlDxTJ^={(#Q@K^W8^gp>lUpCG=-h9}PJ`W_
z$aB$A4MfHLs!M}V3rG?;(O3WA*m(#FV100+9!+o*7CEA@$esI@$Rj~&iQJwOEV(Ai
z1{EWQ%U189u;<#Z#NX|*t&d3Fuf%`*vaLnP0Klq##nwa&+OPUI{lSxD|2{GV*}J-e
zosvB<_8h`lp0eH*TLn4vYukL>!-5N><7p!`-H(5inzo6ijtDBaQIM#M4vVi^N{7
zjw6BUfHkz#fnm|H5$=8BhStMQKZff-N@o&38i|RK2U-ci@A*Ujk3MjZ!@9<`NxE|r
zazOP`Ocg}E6a;ZErLYR3UJ8P!mx7aS+kA+P)%9ZRgN)jKCe<|)+%!adi3x(3$t!*)
z2=X)OWensuGNwTg#s@Sdz8y)_LTj-M}y8{jmz@fnX$GH=X!wNGWk9+_K
zsmPr@z(p=<%K@v%fwMXZa(AqKsK`8^`qbayy)J3n4sc2PD7Sry?I#M3^V}!SWn|1m
z_eik~;-E$*$5*P65nmxnyay`gj?%@v_Vyy-E7j8E|4Owq@Oi$!3c{(8sVKWGrrsVJ
znbOrjAK1tQAtf1D3lGGEM#k{DmC64Vt}u+VKSu%F%H$=kdSo2?m6{xQZGn5a=&#{;
zG#vQ6#Q1@RgB`#G=l;hL(FSrwJ*3guMFn1r3O@HlJaXwG_lE+Hj0t;9vtq)P;o~-i
zRhLf++F#C*KtFk_kiC;^n_zDwwrHqc4HZ7G-yG9Wu|qg3)Dzi-3SM-=pSZ1f2|QcJ
z`-wj^|KI+}|Iz=*Uw*#OUBzPVKiE$cI*6hcQyHa|hx5&}q>CKPrv3q!4)qf?4{{+2
zOd&}$*MUugxR)#SKQL!Cl8n%ybbFC$Wk6f<)grxP$M2U<66~F|#>N!3C(G9o?K$x+
zdlp58O+$?VAJ#v%_Xg^pyP_@%DF2Zr!&`V_YAQN
zxkI}ZvgDxQZBxu%-w>Gyp)D9&531qc#)Ik{E5xu2zxSXFGC3{8l7p&kn}1MsHOa`R
zuI4R}SzS#pu~3c9!h^btG0#26{tJc2d456|eHPcLlwFE@`1X-LR}Md9adnolIRxfj}
z71yB&^r>-{%7}Ha5x=ld^|aL;Xq9fJ{q7KMqFLsavc*n((QcQHOx>Tx3o8${!>T`h
z9dX-yV=ID*dWxp{)4}n$bBA=fbN3x^p+9Y4H{lj{BZ3pX$~{ZmI;4s@pWamaFm>g6
zggkdxpWgJm;?2!!6ST3^thPO@dePMmTV<4zpz9@Kzq3t7?_Qv*f
zHCq)g>wS*{tKz=5)wT7f2yvc%luU(a&o`7!RsCulR=v4fK{@yJ=3+mf)LC_-=pUw?{=4qw{Mrt&z>bJ-f(un6*O3&ZmXoI6P~0MRC9ZkmAB&Wwy>7RNIO5qK_z37XhDko8>>EcAMdu_d1q3qPD8xnR{SoR2I}xa6w4@6INdx<^mxzcDwV1
zc&4E^`TF`_fkgGZ63T~uAY-<=3yO5)lBTXY;RIzGW%1Ni?;|{QB|J!%W-)sL50#C#
zj;ONn$`PwFUy!mLGZF&8Cr9#sIsk17E0x#N<6Z~_p2R2j~1kqPQx6*`(t
zAYjBm;1iG#d^M%+qd)*72|emV;+uaGuV^?gX*lqC?&%E;$CCw4N_OFZ5yK&d1m~rr
zMtbAW2?EcIri~vBFU_n*X{Du^c_<~+7<~e{(Tx!u@U^rx<1|=wKq#&`mc{#qc9eTB
zxSNFRJ8F0_!4z$X>qv>3`YT6Oow;z7oBBw^uxjCX`QVDXf#gZ0ZfH6XW~f5>f<_nU`?
z3CA(j|1Wt=mBwNeJKl31C~1qX+x*vA7Qytw_Mj|W9!tNe%J#a1~O8(U>u$5uMTa~G-5
zt?^rdh337yC?}R-7I=wU*q&Fi82WB
zBu*-3j~N@C2?A<9=Ai~55||W~t&2G82k;&VxzTdN1x3c+hMc8z;yq9$+w}Ka*geLt
z>OD{IKfsCpG-nH+N74}|R80y$!8NH=`z^(`7FmM!&PbPlA>=pR1S%*LSw)Nr+}7>>B!^Sn7(k=-A_QiY)o(7
zb@ve)z?+6nYrq>fm~mBVAm`n6N6M1-+`YtMyeI2=;DoZSdrqi<6yjU;YxfB?XOA*k
zM$T(*uO!x-P~~$a1VZ)|rAXV?pFw5~q;?YvWnaHIp-SqoSM0Uy#z}<7dHzNiHSwR=
z%v1$v*sJz1@fdlgy%%nok;BA#6)i?Nh$7wtAUv#U`Lp{43{3bvmyV(*m15xY>Q7zu
zjt`Tqg?D6Y>w`yN33)_HVp~h-f!VUPV8XT*K5M1uNqhv-(Oz00fXhgslS&JYlS&KG
z2&c1jhWHW354I4q2%f|Ej*6qbOIqx@jN7|@GnOtoPbBhl(+rfUe
ze7p|Un0$g*VzE_%sQb`e6MH}TJ%6;-_9X3ZsvGyOncIX!5@PZR_{N#2BC^>ZZntsr
z9~{cct_>oc|CP;yKitK{290@%A2W};phRwRz6dHs)Mf}kwkK=7SkiAGv$@igV0k_bZ~{DOH@~PGR!viO|LQ=p(ew^`E#KMj_lPwq;MLVte$7
z`!x{<&SX(zPh~B!jX`0R*s?^eN^G7}s>B}p%iYTMB8A6!TFU_rGec5pHWjPIDRmA`
z@+s9B=uQ#iJxH1g>hzUnvKV|yZ8LdO4vaKQ8QtZA2(y&v0`_zW&NNLp#Yf2d)s~%7
z=ihYg?P!?q1-yG|NyWi;k!GQ^%#Jw>oK#HQr!aS;3we5h2@qKoc_;-n1O_}-g%>{d
zhQ)d*0anFj`p2rc>{rFWQ1c7c0-aAiw4eQT@tfAdPtbzjsH}d&-ZBb7Rx+X3BS5E_
zT6QCs%x^by%8mcA=M_I`ecb(rKH^UM^%08yS|9hcKJwel=WHb@JkC>GCb~_viwj0%
zswi@rwSnO$!YkWrP^@?lV6fHr!)`XiMNv!wk%?yb#EyEVHBQR~8O~Dp;*P6ZUq#$I
zm^gEgy&{e_05OjG_*K-B31fsat}r4!RWt9ORyzoXKm>^n;;ob5+5w!bl6yh2VwFt9
zrInWKT3MEEpQ-xh3Wqi1WKOg(=xtSCTb
zMePj|7b`0HjBK+lS3wg1l%B@XKi1Q@Gr@Yg5Nme#si=2uvz=Isi!;zDi}`0H-4;Q8
zqdIc(FniAQRC~jy`IISDQ`emFRiO?Pn^iLVOjeZ~0EMNJHAJmcG6&Kkl@!cpCfUzY
zc%0`n!l>2#dxU+0I05#XqUxv}t>0^zeoGPKJxH4MaV5?iC&XFR1Ns|D$45Oc=X-39
z(xGRO}+2~L2;g?cqCmMjgR2IHzUy}tSvsPR8xAqy_(pH!NXhzl`p2^V-7jk%9c~I5kCCcE3Zl!&qeJ}B^r7c0`cQnxL&glF
zL)_9kg8V7CmRDvbna|41pKLaDIj`%SS__Xqr-q6}&rw0tQ>F;yDbsxCFsi$&Z|4;?
zh2LamI{02f*Z2eUmI0{Xb;x^be4b1!^AK;PsbA!?vf!ST)$XcbF
zd8doq=T!Bg{e8IIr9pMr+SIaUN%77(-hUw8J*Q^I27?*RjEzDjXzxL9k^pqVW3F@pt_qCj9M6nREN>36&!gZt&m5!*1xLmP#F7JRndPE#Q;5-4?;~q~eYiKVDgAe$e9I4Y^c?eE!tp501hs;03FgoiHe0(8yHV`*NOFwK4p>
z8kPi;u*P;PjUCh)+Y_KMffOCp%(-GeGEvQ(BpRGo6PTT=n=gnL&dU|mp}LlwoZ2SR
z?7ULdE9aG}YM-}M1y-ADn5T&akBmKdqqS7`JZtG}O|zZtO$x?Gw8T^I!rVuaQ2MM3
z;^WS;QTv00<5QJ6mXc$u_7VMKRedC{wJ?4A6Tpl$^=fVOEoo|HjVP5?Z&(#su#Q;`
z-9VNcE`JbnA-Tgj(YA~>^QO)B=8^+CnlWj^hIckHRDNUVLe04ZSCyI7=Ow8iEjiVl
z);_f(b}9L^uL)#p%pjmPn
zEz37Da|q`JHQi83$EN{habgkgp)8}Ho|ZCt91gByc08V}g{cV|=)=F(*nA1!FYr4a
zPqx83j3JZ{pM##MQnv(tYb*%{JeGvd(+%*;KWmOB#@ql_zo1NW@e8VdQ{;kb
z0D+ksz}Z3SA*&kN2kE5Mn^Yi{{;0AtoBnZGnGL|&s`8xMD^1PUsg&GL!cOWS`N%rY
zn;+r35@f7FNX7+2(uG0)j1nVD*EOT%XU)ty*i(tf1?7OKuws!&Q5TzC_|^f%Mh-|7
z6{5f>Al$F=y~r0$Y-Io+nbqYGqGeX|?gf#h^IgP1>3kJrupugr@8eCYH!<1vE4_>J
z{H&Ehx00{)N56l8nzCYPF_XfhR#C7j)qqFUE3N*d_}GYxmc(+>KbBa|i!3qA5P~6B
zuX-)bUcTz}=HzNzy+o0V+_Z!wTttI|dwGK8l~!hQv@BlNbf%q}(m+(YsM;9BwXjsY
zsA|~zQ{NKL<27|Rn!u-3o%R>ist%rcRVVqPTGhcbSE>f^>8j*lc76$0xu_(Z0D4H+
zh?8xS%|>~vAazT&6$y!wZTv-5pPsZed)a4Fc$`NfjCvzbXI0GD>ZthlIp
zB+H04-h-Tt$nP$mwpvaUI}n9t%eGu{5+wNX~XA_xBrLU#d+RF
zIQ9F=`=buJ#5F=@UU1kVDOd>t(0nywJc5-BCeS~w5fhXQtQrA^Tq8Pkg$`j#R(CZI
zilvuSckBz~+}9mLAa@EDT|(!&t652HOWdtw6@^d>!7gB>3H!U<%_MO`3orORo0QS7
zo5^zRAhUq1u-IO}xTLxQS1-xv@1q)uXD+K6^w=LxoAeWd7?IpszTG{!cR|`vkl1OO
zXHI~S#i>g&J=v@(=Cf4w<-$cTtC{o)m(}IM6)&r9T)E4tZ&3TPnnh2z43Tj+?i6y&
zv*@Y4%rXM>+(T%I_gZU(K-$Y(ZEsIOah`UUm9plMOq5;=UFJT-_r1+@d$Nl4dT=c2
z%7YL0ALa)Mllu?+iOstNiTe-l(LdJbdq_KAMI33eK9_ldn}#I$VPA8en2yZfj;tRt
z<+8s?;8(fjpZ(0{VlkvnU1z+v)Vb)gD(frWFb9dvS}PmilU>_?S=lu_^Vuk8E-Sl+
zXSQo=;KQy(2J(~hXPSM*r=Xy20_LlVtM78<}kxvOhqda94(xqscWPA
zzil2cTooxE*EF?r%9F3Ej2vM$6t%GaKPG3HTzRW9DvI}Z_ujFx;5%ju8T*d;>QhN)
z3^f~zmWtHwBlSLc#~dR>MTFmpt`MbjmNNj%>G#alhO5_8z%a)F!C)vJf$@$XZh8#w
z2gA+5PbcP_d=Lz$*A;pHx2QM)KM;*mq2cm6F{rfo%+F#ZtBUIq`p3m}$(5kuimY*Q
z-80gB9_Ggz^MSd}5ZkY)Qo7}eAsru>Bjvc!FeOI-fXXI9t+ILe3YSf9;W1{CA#Nf9
zHM&=?C{uFjip>1b>?R)T@Q3iJ&_;Z%3N4AGvWw=^A|(fGS${*}7}0XBHHCYG9b
znI^_F_Z+;M4$l_d>4_LD9Mg1%G~E?Vhv#dP%tqplro*#Ew{)_Zj4OQ`EYPDdT)|2C
z#2}f2XdHl`wNoJ5L={Bi00dbKdQCNZ<7!49gQ}WAQ$GU)4Ne1tm;DS7WHI1H*E-Y8
z#zu;tOJB`psGkdhcsMf7&jmpimn+lFu9)K>7&7zCr~+0#*7zCBX9i02GJctfJH-lB
z7YMa@%$8<~fiaaOi_;p!w|*W7Vi3QoAd&@wEC&1qS#Z%rSHL5Vp^#DEcnbTV=V@#_tu!UXiY)KI#s`Bq?NCdC}++wZ;2MyXpy%oRD-xB
z>4UT!vUOd1j@VbggHX{TZwvYl(=on?yf(+gV(&b&5>c`#(40dNuh})(W-kW+)vw7Z
z$IOyZ0f|<*M!mQ~?wc4rA*O{IS@vF$ug*8G+D0kRI2CNInPidLIIbMN01>2$Fg++j
z1R_k;yeF#&LA<>e7n=19+j8}48Pn#`xFQ39VD)awHF+&0HqJX{vH6B!+o~w=^*!L&
zG(|Ml9?jzJrzVv0DP|(Y>1*=*XDG^7i7v0Kw#+PTzoJ;-Ro`W1iCU-WF|hUc8UZEs
zc1X{4dK=zp8l-K!@82fbn>6>EV)|_`)40#gQnmlzndZDMla`~>%>CRf76A3|=Vpoj
zA6yfdYoh>$LzkPcl6cT*FC*`-F~hAg8H=19=Q5e#t+B$K8zSmnS33`W`T_>{x$897
zUs4X3X}8Bdf8Ady>(YNJl}>CT2+1$^tv2%zDV54dtuPmO*OIOGVma=3aG|7Bk6iN(
z&oFBn_BX)_&jUe><~s;o9)!PfUDcRkYt0Yrqg33H$RN$p>4fqk+Hg(?(}Yt_VP)=%
zFYV#hTVg_6<}ia7Tsl8qXW~k*g~T$jM4&%W+Y8Lg6(Flqu<*M4c!N3b-{XJzkN9)E
z=1KuN5{gys^8t+o!(Z;@7aPsD1yU}y$*eA}1arD@U8WX{&MhZAjLPY{@D#XT5z&Kx
z5Y^aheknj4Xer{6{MqZu96YTiNz|kg-f3H4i|u)DuwruG_@`nLz{Yh$DW?B6^E-Pf
z6}Q9<)fLo=p=d>KD7)mk5oDL>Rm=_VUteOm#@Kl_xFiX&b_PAS2=Z3oukMEe`6
zfL7aWZV_E?_zP%scd)U{CSq0IV_u=yf%z{Cb}wl}4TBL;N-;O6|6lB>mePA?ui3{C
z<8R0v;n8v4LHo^DgqV)4z7L}+Q7Df|bjC}9SCMPn2Y&9L>2)om3!`WO{)3A9U9jRP+AS@nQ^8`QSI2L7_Z>4|HthDBTtvce{h!_IxUSo|{}u+*(?-5Y@z+fcmicBqmNutJoz~Y^zzSgV@Dx
zauK%cB5dBI=?QFz&M?D8$jzXFMmUb+24%dr>jv-$l!o@uqAqexCYFfKBfFh8Pq^Aq
znorYIXP_WWjXz@+kI|Z<$N&vx?mA-@6Dc}M_*t{KWqjM+bFm(f81}Me3Sd_1#pKk%?K&c1r5DRcq*Ru7CndQ1F`R>_ooZysgP=K
z)du~_hQ>3=3_vW^2rr5K70WsJ{KAI
z+I+iv{lm`y6FE*G@Z=(ACPhdmXEew?qbRYh^zQ^x@%&8x%8*m4F`NeU?=|{o$G^A7
z+xvHWBN<;oB)>@?BX}0vln=i)pRZ2owB$5eGXIv$do1%E%RI+2zp>0~?AyH)i5e(}
zT!kr#{YDT8=19XA+Ugs#PzV^v9e?L)Br}JERKOOE5U2d(8?&n~(%ZLmDzaNgqamiuL+i`<
zZ!ua&T2sC?DJ}2OZ_NvSwtK#_C?<9b8zTpPkBNE<^V07FlC&;!FCpvwfWe6s=Zha0
ztOVG`GWGYcBzfqMuqfH?P5`RocdRr9o_7OPimicsJP_x9e0bNK;9ymLwjWyDLypC`
z-j5bhdBgs;yzrx$Coc35BG}1ctv8}V(3KobB)Z}zh-+p73tA#W4Qa)_VtRGEtvf}g
z`h;q-jYxKqv*suqFFA3?;Utjr6FI+=bKnG=Bjn6K31eUiFfMqENl7{yK6WZ7{t~mT8?Bj^4-IKPtf`Tb{xKjZo0KK_n)
z0A~z2c^|?lK+YF`!&yhpH3N0y7CA53;Jivs6FZz{e~*Ftn4Ai+aH^0qKR28u@vshVjgBPkp$aN8~(H6V6BEOd@9(*(|n_ha2D@nMaQoc9D&yCzNa!nMqG^`bS36
zQ=6QMPdHzY^ImT_spMqzfwO^}nI1TE$=Tlz&S7$X?+@oO
zIe7=dDL_u$L2w$Avw)o8OUVs=6HWvW2A
zn9*=da=sP|xku!&!MdY*`52r0TKaul0Ij>HD
z(;3ci&o=tIi=3tt;j|!U1vwey#7u${OU@2*_K}k^8P40}*rvdVCT9~l+sWxU6;5Ar
z&XIGOoIKOv6d>mSIY-Eeo&m=-oZOI^aBSrKI0w$p%!iXf&a?$^W|H&K
zLO7GisksOa-B9moyBH2#sgC=y;n1bpo(W6g&`q|Ufy?30^@*OQE8x&&UYJI-$Tr$0__a%f+rXZLA1w0F-l`wSe~DCTK*77lGv^0?2zp)D<*J><|<3D3;)aA+akv-|=a
zTA%gAU4%pHh@P^S;9zyC5TrnVY3T&>>~Ls0-m@OPKM&1VdG246$-kR>g!dcXm*-md
z4RtKL`BzmCp~556Exx}dM?W-^ic|LwLmkf=L`36O>pFKtzrO}vSINnN0MFWQcv3|^
ze2CpNCpGJ1Sy|_}&aCtP4Z3dQbM#9doZN3(b1^=Y`exHShrf}3|6!W{k|Gg#ej_K}
zKT`Zrr}#tG6!Ym6-5~j&QzRl!PIAisBSrfyCBCp*S;SXfr&#j;B}F3gB#^W71{_PO
z&L`%7L=l~0V%8LQ-e9Tr*b0)T=Fxa&d}zNu{gbCPuQWdF&6KwXy$)e#QL8mk;Op-<
zuZn&YvGlAVr~l2Ycse^Y6>H%Oj}M^1@}HLL!g0O|n%@$hseXLulh)qk5A
zqJsv|J}ZFX8o-eM3SfA)01yvP3Y@pcNA*lec?;iFCwCc?+*6Gta-h6*!kEB6_VI*s
zkQ)4W?COC>Kc1ZGfrmeysBglFlm|J1J?;sv`Aw%E@_hUT=2IF*oh
zBVz4!4g;>mDKh)z2IE9uxn-1xG;bWwkt;T-?s8}=n46VI^nZmL6#(~J%@X593$B3i
zm|~ALYyMwaC46M_JY=0bWH3BbhkckI*<+;;SPH;}w>XEzmq6V>dE^Vu!G8swH>*J6
z6?2jATe%}gZ25Yge-}yof90G%KqS>Q(<;og_&-%xF#C}Ip~AMBd25BZ@qa;F?Y|->
zn?m->Cv7ev{Wbf(ihYIu!oE%bdp(b1mEn&xmoWhn;8Fo&leJ0l*9N_^OGeDo{+2u(
I6Wj9t1M@J%XaE2J

delta 138476
zcmbrncYIYv^FPknOOktTA%z4;LJ~p?BqSsfq?Z6nhk#N`4dR!H=Z>*#7V`B;iRS9CV%9Y042kGFXGn#qi>YFU
z{wU3C{Li(utETC2c<$R;rp%B;PoJ$i=VN=e`~Gi{P44JGQR=sPbnAN3?#jj#*hhQpX&l=4|z@PHJS#)ZJ>DDc)7@MH*B2
zPrd3MBhu|79g^gkvenyd@jZIF&5Y1zGtE2In62K6r{dLPTeUIAR>PY=H;Uz`r)HVa
z@$1p%s393cb}}UcGyw2FU@{?1AIdTpnqNydzS^o&JC@DX2i}a;>hrC7;EJ$e>HwHN
zpz4|Xs1CKQXW3OvotR_3r7mpM#h)AX)S0c`qPyae=$tQ%?ka4Xcj-s<45d?Z%@n<)
zwykMQ#I`bJJkGE(WhQyPwc*drTlHr(&5A_1DZdgWs0%IqpPZ|_HNaiJ}TQ$wcIASnt^iwmr-BmuZqppzx6e0>5Z#mb5!qbjM3=9
zXlA!_tAuTOV3Y97m_Gl2soOT)Ei$ZfY&YTzWerK{G9jFveze>*y5~XEZW@H`fu+M9+uYym^mit2NtnpT_0_`x+{x
zu~v93Zp_-B`-hLjtdg30w&{ya%@wG+w&-g3i-vhZ%8zZ6aa>H<NkM&E8AJOYhCAJQw){91Imrp3-iqxMm;^NooKk6
zr#=YC#E^#5bzw&cJnDvF*Pm%y3qAI1Y#Vh20(#D4bY&vFYJONndnalI9nu@So9hgZ
zJXz8;yrLSsgUtz&ZXb0qo|PvT#v2ulr>HYkbX4cCCK=;EA8b;Bd&Y1)uc4bj1U_VA
zkdTcTyrYcXcqz6A<;li8KrB;q%aI=sLI&MOOZ<3sW-lFZ#VB+
z?E9+KPFi_X^PPHWw2`SA@APhZFVmg26XFv?)o3RT(BXPmOkAXH+1IQNavq^o_1M1V
zoz-ZBdNhryAt3UtHjRjZjMeHpd9{h^XErhaL&b@n$9BqUv$1^KSUuxLY>X=0DND}e
zoow3e&r`)DPa_@ufSIO$>2G#YivWaHoR@a;5P1nTXBl18nw_-bs8u`l#ZF=Orh_hc
zWE4=|8uK9|16)W0NJs-7CxfM{29*ck03}Vd=(B9sPx^vpQ#CI~{~=
zf-1q&(Pp;#OK48}X~sQd^iWB=q(2F}g8MVf7S~wawhK197OhHOLmUUnX6lU_T+xaD
zh&XGPUj2wlP)Lj4EL+_>|75IccN32+J@b_McOEp?y&LZfGcxq*!C0yicKJHVD^=l6
zUa6{6AAJLWS1N$ymFjDfD6dpcqEE6?Jqbuyl6bUTSFLsY5c6^W(ED_V*;~!oB|~rK
zF1>VS*>-xPBd&u!Hx$NuCP_wGS_U>W)ZXxzb=AyW?AT1%rN{L(?+6-ZAA!I(%$5Ali;Ac(rdZ^CQzrTp3
zUo|kvXM(^d{V_x=(tl8Ie9RnSUqmH|o|mcNI^O(wVH#6>w)!u+0kM;1BiX%6wURt&
zkfoj!7uUhqEF>71YD1AOY#N?!SVDRW7)bC(h4_%4IQo8DZ{rUV{2-Y+^YQ4G(!VIu
zKPS>Z6kyEK|8EgX|3PBx69r4(wp*lc+wGHnZTgF)UwgM-`m1TkFMlFv$WM!p>#bVt
zmLcC9TxiHc@>AT+!N6)H9~?;Dk0-{}Rn2#^yc_Mld9*(S0-wC|iCE;_WH*oY$Y;#f
z<|ryo^gOydXtblT4iW4s6rgz;@{@Lp(>#%CCwb613qLtIuC4K39W~m_QS)~5=$wd}
zG~&kt4B4=?yLHZ6j$FH+5Ffv4b!VOIh*P(2g=4IjzFbbs^IJ0JORFx
zCf*M;!73=&%_?X@O^6Eece4ui@79}kg{Q<3TQ)jn_V_eVW{+P3<0hCN`R&crs&PGx
zcs=e}Yv>zs+L&nWam9hsVxFdtPBa&&xIHZNs696ey*aA-gq}uZBJ`L&EcCP&%p7|s
zDo*rtpmyra`ysrI-t~gnMYY`nXQ!E-xzSa_=ugjb&HJckk|%AC2>jJ1Kvw^{ZeH?^G1hjxVC&f<3%)J-mlic;6mT;XU9z
zv}|pHMf;B!f+F%w+r#pmx<`iiRBDF>yq^BzA-+B!;EPkt4SoS1oN5j>ATtthez>ES
zvB#UTk;iv4U2eKL&iIv|dC9l_8T`qwIJSrU3fIm6fMU|Y!+J$#T#ni)ium?_6cP1Z
zKoP}6D~i}Aig;$G*}zOj6)2+ecRHtQH7SwMNd#ztys-|z}**EYR!j`^ASBH>Q-O!|)Zi4(um
zZ_G7cP!qpfn={Y+*)U(1$IHJH6OupQe1sm#4)H^I_`W5AHI$VdBC5y^@e8T4IkXDx
z5Ybd%hq&uI+99eR2}LcvYj8P7xdWi2sYd&UUEj$L5!GaeXf;JUMDU@YivD1+*$>df
zt8KBwyrJxSd7G%B_UcXFI_e=$TSQmcy*{~3o$XCM(_AMlGhbFU_UfW{Z7tn_r=IG2
zdCQpeirGZf!(#+%LLci{D`7)6ykZ_u?NJxr@*R6=$EbSk)p;AkIE(F~8njn0ZEVY@
zr`YTnc{=X{v%EH6Gh3)J3S^oH3@As3+1N5(i?7)jcA2iwK??|D0%p$EPpIihOB
zR4}VWZ<<-Yu8l}iEsX9$)kUZV2o-Wf^@vb)38i}1Y-hY6R1?0}vt~zR3DE>0dPRsP
z1QU6aQ~DU62+cZa>02Q}?qWiD{qAG#D#kvcTo+8K&#yM`FfIz|Ss^VEQsfAvTaR01
zCeN#6)HBWoQO4?(2cz?hn)I|Wc800%qvN^S_z*&=`U6w83Q$(n1K0Qj)5Ew|hye>mXHA0!;`!4DJ;FxFCgNgNPRYkts$ciI}MO+QFPVEGTQAiTPu5sCvn^e9al?U`RqIBI2W<LEdDBYhqomIzu-nO^3uy+)?&i_ki2VMJ6y5e!k
z`ad1Z#kqsJ^7jwkqE=PC=WmZN&anJ>&p%*8T!gO{0XX%;ng#Vb81~1dx&KIW|07c;
zs*c>pGEH5RU%!E2pDY9~{4YL=SU)HD27D6dR3rD1>rhn(H%
z7Ak&i78vhX>=4s2-=r3jU`=(-H{qSVV;kn_Rr}3IeWRYLf>0Rik3&3P?Bo6W7yCG3
zY#fqD9OKzfIII}Y5%3H4go4K^FB!fV4;ZaZGvc9t+R1}^^XApP<(fo!54Cf8pKcz5
zzspl`Wc!ZF_9KD?b@YHk=md%=+OjD~H=pgJAdt6C(*jlfM~NL*(K*}A1XblniElR|
z2KChKKYEQD8S1xv6!uAP@?$BXR?)@Zn(<)9P?0om{vhQDTE8G@D55Y#(vKJuwUvcx
zd5Z$|tcB`HLG`4CYL1|q6@qGBX;D2XsGby5;5lQj8Ia(JJ4AwbOfWwRf{7x6`FIG-
zdZFuxa=;0c%yDr5l*;qbigVJnd%M0-LI={pNx
zDDm8KxO4XN0L@(ySdVYJn$`^^*z$%tk%I_)o|X2FxfN#I#{P^B5Lj0gQP
z%tkST93dc)qk)%2jivjv8`Yrz$3Fp(Qw8Ky3*_Zk*y6yGoV%jl@V
zQQ4{zb5h{HscRcmTXHoI1kJXLjM6jZ?t&L}7s)q$(kY=~+=Vz>h5$vYyLF%^)bkU*
zo|7q9^Hld_Lp^ptB98?Jc;FNq;8?JlEa;vOK{ute=)jDWfrQW@iELll+p|Z1wIT=_
ziqG^o>U;WYPpv))eY&n!l0N!sq@AkJ$bT3R116(y?;Wbx0)Oa$?iO!PFb+^;U0oLJ
zmqM`rSz7Fe1UnL7hXo&4Y-T9rs0-2e);6%d{({+f=)ju7d#f7sgs|-o!4}(h7W_!m
zlUZpr)0
z+kIhF!{LIj7-tJXEo6)vK
zkyC8+(8hJMX|?*;^T}Dn1d#Y5IKzot0tdZ7J|WH9XV_$O7L_J?W*p)zueb8>*VNQQ
z5-NN3kc7&XQk5jn@Iw^2N%KyBc%}N_kVO06JEX_uM5JTvbEs?)vJ@)YV^Qw%QzA&2
zrr#|=bnWD!K&P~kUnyO_GRpSre1
zP1|mYb-u0~U1$%!zN}-Jp1C6?Q8hfQ&o8kLQ>_lmUcAF$*^9S2%*VAY^haeKCshB#
zviWWS&KCB5hq3vNwRync*{AGv)x)TQ4S21PDyU6|@Sdk}%2b=LdCaY3T^!Lx-`M+8
z^L%#N0?lEI)aY}XczQeIlH9gERyq0#ygK9QV7KT^WyB65nsfB<(+n%Qu
zGf14Ep0w9d3l7VMX~kjLFij(w@P-LZPVw5C>8@k#FA*aQ1M3L&W9pp@w;AAt<8fWz
z>6mPOLFI{_&4(qD)FikXTI}g9ceWFb$j)~95!%_RncM?QQ&W$Krd~QC
zntJAlPg7`xx3-^sFjeQ5b5x;?t?O+(wv;qhr#c<6x^o4`81n-v#?6N#5(g`(;Fzk$
z9+9KTuaAgT_>$@*c_JYax(#z*B}YGX=!kd-KOSKZ0SPU#zd=ISESx_=0p30tzZ0aO
zi!i|uL*_ro$-*Kb3;QF;XNHycu3F!kifASM{s@O2za$ysmJJSo)n>?s?#5)|m;`rr
z?CD1ZrQVq6_(_+9b2SS@5(ZvpyCgfLULji~$1)VnjCZzOR>S~g|yFVUMxr7
zRSH%4#DDC^zG7Yw_ex7&1X|+5qaTm*ia3=N;~y-vB7!-uh|NjzyrxAS!(VJcBag|7
zh_T6G_A^0d5L0PvSS3sm4zov)o@71sQ&+aAeJf(SY)2b1ywkHC>r}=uSq$qRlf|&v
zFV>Ltu_cQRi4->B9;CwOq#%Rrgq6$(sl){v~fF0Me2-n?Z;nHKyylIxs3TM}{Y=
zmyd}t9ZMbOWe?5qve#ik>{I&LiS}4IW&zv40{AZVMW){PWBTHY_DSYiDoXTxa7?CG
zR&Who`|47OC=dPjuYKE4EVAEDf3fDai|l=CUlw{qYhRDXj&{C-0dI$c@2a0I@t?EA
z|Feky*fH;{LsRw6J7XK*f>hD%judafl&Y>{0RT#;HghyFqWK|TA9DvkJuXY(=gk~T
zj5Ml~#3x}0`%5hz|-BDf_JYqC7S_Gaq33=Yp=oNT$SIDFCI=`i(p)n%xd|2T5
zjEc?*+L7mIj0n2F=?Q>DQFJb#`)equyW5dtAe2t<=mOh>;~ei#(TiF+Iv|wpCti1)
z!~Nd|sMj6WGg>?9QaIg5jY@P{fUQOwM<+zn{nTffT2E?;RpqD33R#5ImHUL8gdi(q
zC+~3Ft7@KLzoF_0J#Zg(O(*2=r0NMKX(c2Gv`4pr?Sm9KCLSvIZVwnkY@YJRWynL5
zG~^Ej5Bc(XV>`!0bp$&1yA7jGh}$ss1iKC6PtcUJ+=gdPh}$srgpBlp6TXp-R@iN*
za^?wR6oHb6_##xW2KPuXBJb|wj*jEz>r|fTS&r}l?$LVxKKq0kd4ev!sr4tsgs!C;
zNgj1v0;D6(Kd$zkkcFe@1TP##s7Y6vegz@?hF?y|!f}Q$1^ErZ7(*5gupz$z3Hc4+
z)-T^NoU&x#cc2YK2DYBydu|=OIR+Wk^rkLw*;0O@)}dUZyW=jSp&r;3h4p{pWv1i=
zM>re*R7wa4xZjPzfAnTHa}wBfP^eXHb@USQ-8B_t0DE${=jLxr0ljgG;1?9|^|~eK@#-AD6a+
zOM*IBB%GF59W0jYVISlFql3(;uJNaj33m`sse?$UgXON@Mt@T076x}tFYE*L)zC}t
zc33gZ)Sr0-rT#3@lg9KYS2g%KScy%4E~OGv^}zcu|GNtl@MQhnFWLS+p8rSpma{K2!`G2!*p)C$5GpRq$I-oSxJUM2dJCL=!Z{-&l|51oz=r-(!*s|4?h-`
z>wIWPiy5DmwufLw!wCsV8$3G=#C{N2!mv09Lsi|+X7n{K1pzrPK+X#gW&edIYuGPA
zqRw#qQc6*S8392;K)^HmK{(9F5|A@NK&t6-gB$}@%U{G|H2sD3-Sii6HG2q%?jaz0
zl@=w}vU;E+M>Rr2K7~}(e?H_Gqo!FHCJTni7KUYlVQ~nCS4)cl
zT-fPdFI>_s-bL_T7KW
zR(*Yf_g8DVSa0kd-#*gO)tE0-bC?Pfg(}esJjWt?KR`xxe#*jq##u4WUbw-`&3z-y
z)h^(L+xE@LGCH+UbRE2R;ct$rFdh3d3r9KXD|L#O@V}W@MV*o*{BLPfC7+UIpB^(|
z(TA$MZaUi0N;P0Y+#KID607?iLWpe97_1g!pD?PayDZ{*rz~Q)I$hN8Q+nVC#5tMl
z35#q9k>#pM7R3-BMdNtq9crnxv`|P^S|kglrIfhHMD?jfx6nt&o<{abzX#gtq=u(4
zRBw3-{&)6C_A)Y{HQH^KKaQEryUi1)0=vytL@X|E=1KOpzfU$snZKb5oPrCdbfFF#
z5j-BAafGY0=o?;Vb{Da}Jny
zQF*Sq?N@OS8h|L+K{$hE#a$<~K|4!ON55cX8C`@PSq@hBlkB~}k_j_9=;+CgESY5g
z#%bwS;55p|i6>d*UwM*&?@!f@@d{ZoWAT6v6H?(<_B>A3Foqh-h|DtVi==0Z&@;S2
zg!>BIxA%j=WPDWG9)cN}GBDfJ#g>MfXse%hJc29(Sr7tb$qNpTaXtvhX#sLtfT*&k
z*{~a@gQSuXe!7&R1~USJgv<_jo=Z18lqHFr3<2_E24vL~F?+h*-taW*83{#@x(S9Z
z!5He?Ray)UPg|#ILxl~PZt7Z7M@=`9)e}-QI+%0DQ>Ew3y#qt)UBlCQU|nM@VW-~J
zM;8M6t}??hRJ~{Q?p^8KyQgK@+9Dvn2m$d;X+eM)i5Lli0MCbSGajQXfp{wv#B9fC
zRbqj-E+DR-mSeowGpy(6Gr@YUaHf=c1~USIgg}7jnEH?evIOGK5D-t?jsuOBFBwUy
z(-~2AyEClpc4tH!0|ZIm5G41P773UU5+p!kwA1<8F_&@#`R1DFv8BqR;+T+_rTpe%uy=O5CXAlmsv@ossR*
z1+rdkUdBRNG#_@)em0=0B)K>1K3htCl|8FB4UR}sXUpiBn_bfs@_8Lp
zj&YX3TtMR#!~z%&EuB5Zp{2~=wSf;?I{Yf3r4D46I5^aq5O9E^^H~Wkk$*tPB~eQp
z586haD5D2H>v~f6UgC(<`K^p+jEAT<;xgDC0G`0(C9RECZWQ@KBBRdgS=DWYdO#c8
z@QJyqGvueT}SgPU;P7B=brU;
zTbk(}KqV548FiL}F??HfC5ol5tLQK8>niE1iSCiM`a`-DjPWdY4EFm+1KJvcjc)>-
zRbPVWt~kp-dizbh3HwqzR6#%%@|btUm5hscd~0~$S$-So%K)Aq&dSmp*}=#LAC|<%
z|B*!axqu{oAYzfkW}xd}ylIccV+bKek9!9~i25|9jV#T8Qb9$YlT|s5p316hRwsfa
z4;tsO_;)9xKm22P?!`5{b7Hg4$qLqup5&@7=XiBazYD~{t8+QZb1?0u)w!YW_71jP
z9wBddP8R1UBs=;Xjd?W~i52!u_;*Iu)@zoJ8&AxJ=h!$j)O}Vu+AHK}Ue-Uy-YyOT
zS0R|6dX6K%#zrEv`u}NY{|~Qne2up=@VpMaNu+iVgLFSRg@3WIGWn`WrrjP&ed;|p
z!DY|;BEW;s1x0}Wu}fvn>*C(3l2JzQTI0A~B?OWC1(NtL)ZF_r=efT(q`#Qz=&zAV
zNj15x9eIwY`{v;B#?u`jIg&h>bjQ;@|GaMsz4!-fA^E{{roWFT`PX~c-dXFYz8PxZmCx3IT
z>s}+pFkhzfM9)iTh~DOYd#ZYrTC*<0>+}AX6V%G{VrJhaiX;yp@X%h<*O;faphx73
zd~u#eu=QrbH>emqjOS7QR>OEBdV_bU71C<`;n{2ysegK&E$rK9mn`fG@TNBtfQc^1
z-%l{ax5f98Wm
zH?t=dCwlI_Ai^JeM??#Mv*lGcu%!2JhF%cC52o5l9yH8?A2!&Ss-CzYM=GN)u&f57
zD#_{r+?}P{1@kS^xuK*fPpMYwoeP261)aAz;uG^x>6ZFgae)t0UXwQF2HGgP4=-I^
zV0Bcc7DOF67g!x113szaV`9tdD5k%75hxC*18?HA(b3;HM)=jyb(nETT|*D(Rc@s>
zehbrh4N}HQ$mI*V+(VcTOR6{{^pZmkm%h{OjMoo8Y~-kl2r|>L$K?Q$3Ku2v9`=aw
zipspm2ZyzF-gd;2Yv_XQj!xowde7tyFG-m732G--jlRS_?qFSf3Y+nkyNsxWe`n-h
z?=5b!-d|!z9K18P84dKaTa1pX;U!u1(TP^I@g;@A>sbD#A9swwtuxSCyYltY$Msep
z_Xw(8!Kl*rmbRzsrKhKb33zfq`MPBP4CeWN^pqJ%PgTtCyl(?g+HxSFEeCj`r{gJ0
zuFcwzPWI1s4pS|Dm&L8g@2tcozss4+-OSDCri)KF>KG#SjGn)jQk7svAdnCU@J#;B
zc#5(BffE(*lv{c}aVPFIhN-C*l1YRl!LWcV6(Ea3fV@&#AmBwnkPwhbzw1ZpJD;K~
z0h#!}K%PD4cwYTz0of}e*=r#=CrGes4id?Q(joyfLV|>lfM@5~#vIBL61@6)vq%OU
zHl9&6{}AO={ezWL^$*z?H~E894MFCdquVQPpMIMCQA+)QAHd*nvG}qhO@Zy$qsDBc
z3?_xx(l{e-~ii_1;%FzrG(?7ARM!l>$0fCewkHb
zzbqg3^NMAs~7P2(T_VYrLV5B@o?1KrDF0_>X$c0t#7*4z}d;UNaKi3AErOcT9!*
z2yRt6s1$Hz9E%x;x(%xoF4L;Im)J8*z9gPu;w9OvDP5?XRtUKS{inrCM}<3Ich4ENB`!rd$jKtucu!HQo
z#MJ5vdzmeyovbVVb~vtLUSc=%Qm}I;8!eo)k()V~mKJt1#{h=7nPaZ_y?%BxUv@YH
zZe|0g^A|Pyiny6C5!Phga$30xC}Ur9`W3&gS)Sa?4#rBVB;gnLbn2`4yYF5hFLSf;
zB|qk?9hok~^NWG!eqR)C9L{nJJ$#yhG0rRn
z&it7CQ8=^y$2dd{JiY_Bzx_`d`Ja%ts$VVV%=0c^T^pxKTm>gcwr+n~XF7#aM%O^P
z{mEV(+9P+>c+t;LJ^v^Bkn{cYC=vhjwE#IPky8kAa$JoK0rHQTT-S(k@aa$l9#!ZqV6`>$%L@R;GR#pg$%L&)d2
z-lnEw{Na|$WDEqH9|gIqTdtD3I#*4(;`dbVG{3)!ftcv|?yBq|;h{dE`))R(Rnb+s
zhIs0#Y#)E7ib)=fR=U(+wMY+E|XNaCTB&7*FsJ7PVl*<
zcM5VkD^j-!J+kDqsaBG0agFUh-rUV|ihG*)Z=C3?NZsS(#Et80oS@2F
zV`Fy%3Yct5H?HzY5&5L*`D?QLjF(Q0zb4Di0^v137)Hjz()JBpxNmEO3$om|&n3Gt
zm?=A?|J*l_a^Lp*IC0+q7VDZZo;uf1FWF|ebip>Gg+e*4Ezg1|(9P`a#uycGUAk$z
z&bqT*mu^;$O?>~4&Vrgdd#{ff
zcNUOo5ywN`W9+Q!bm_%)oh?v8y+z0l;M3K$tGe4s$22v`>gjXR)90>>|GiKUy>t_z
zjK!txDfp4UiGyWzAuX!s%vH&Mk=F4Mq10SwSM1XYb5WT4SI`toZ}e9wHJ+?<
z8am^NC1FVZi{y~2^Y>v4LMskkFctT{kagPnWhW*7G0(_&0Aq)wDKzjkYqeu|e350b7AzR+u!uNqlKs!Qk
z>?tjdb%FzY3CFs>crSo&zA=sud^mJrv9Va0H)L9d-QZ~%c0;CR@(s4Bi8q2Ylu_kI
zDK!LU3pQFyM+8
zFevck4FF0BMAr}y%@-PvsAU$2MFL`x1!Ap$cs~ThN2LV;W&~o9fB;Y41)!8bEC>O?
zyMXf+h|>b%^bOesl>M8Hq@nZLhZxE5ze}kQ@FN_j1qayjMgXORh*VE4}fn~5*5_mhdb-)Bfl9>s1<+9
zcg|Ab)lA-?}UYN0BBWNvRz
zV_yUs<4r)(Ro(r^SI<88hncf`I%n%o
z^5OMI;d5uU>Lq1#{xBT3ZoC&o4_!5es}?2fI5sH}XTCv+ZgCAk((&D$$?VGCB@bYJ
zjqXqse|Z;deEWjiOXQGd_dU*Ls(J}KbtxbTy%h8`2zH0;-ebL7VK|9k|cgM}35z)2Yk{C2Wg6z%%;d
z?v4_+MO#b6zuN`M;OOH-%HJyb2zv4i^yj@HAo}_O7|WfzE5h;j60&aUI1=BBCjZ8a
zuLG6S-R^VBtG0lNNkwR3W^ErpABzV-a>&!HdJmmwRa>nrVNb8`KxcQO3De3qu^N=o
z7neEXjRy1Xcix4I#6GSDKCsc>S;qpE(H(o+Qgs&mjIL2x#t=Uzg`!P8VrqD!{;q61
z?k~oLCaVFt-ujO{ZlDVubk;Ry_$i5@G0jusopN3xoj+;qI5MMdcoHw@jgB}oojAE7iA>inCN@s0G09<9@q1k9e*Kt
z3!JP2&e}xG`*`?TM0`1zxTd^&Q_j$-zed)F2!qaD|FN6+c((Dkv!;rGb=`;tE=xnW
ze#rQDeG_FjN_ZNl(vX!cG=^>JL$*o=W(Q5<<1_?$8s{0%7f<6nL+AYD|wl@U%PaeGtSV@4wiXbOBsePx}l!b{oN`~7euPds?gB0CPz0i9@ZNl!OnT8p)d9>
zUtTATa60vcC{<6793m4M;ZCZ7dwc^5ajNusv}&Q23b9&j2nF5*H|^RXzvr+
zra`pbF_Z&s777_YszhXk7TGKzD-0s5;2lt@DLw(jq)Wy}BnctDsYHaYS%hB+;cG#J
zvHIv3XLI97P@@Ng7GG5&+5;Btb)h{FLR*len&TrLg^#0Rl#P`G=NQ>!UGRKF65iAy
zDdVkDDxz;SQLRlE-I=zb7$U9|)e)b-rDwPUYuuq%KkaOYH*A>Q9a0hFfOIN$y(b2u
zHCTs0aeug5>Lq<$IrE;ynCOWKQZ+hWbu)Bf6?gEB&!=sM-?$GU4r1KzGW58s&NRLA
zS?56e6x1Q>PHiV?`ZSWp=SLsq0c@B0&)alPQsglBJzR&sh`fNvk~~A!E*D@mXlHQ^XH;iqaj=
zIonWbw2P^%vnM)Rs>}Fx_(fMEyq&;}(dVSq?>0TI5+;i(i$y&q*EKPy1>Luns$Wi1
zFXZcZAJ`1Nq?X!4Y{~km_rNj31(Od|E^}7Z&PmQuIK&(`37&kdvSRLQ>7q%n_j$T#
z0!o{grOsgmg1l~bWoEQ4Tgo1S9rq9^^$?$fPkqrjidtbLHOht{nU|?v#2X3>WRwL2
zQ-^>|7a&t^0y49-K){ZHAZ1Y_oj%i^+szz9dw$jtXN~x_#T|5sPR+Cgp#lcv3JX?OHT~Bd02&Yk=spV&
zQU)|i0FAr}(CE?vx=#Rs9SaEQ#)ZxV-CR3gRLC%>du{^NVLm{;69j671qvyH+AN?p
z+yv^2(t=tcpumo$v_hm5ucy8QR48Rsuib=d{sN#vaLcc|%N8o6j4Dz`FM;k{;i0;V
z4lkwda3Vsw13MNKQi$qR$}^rzA$V%&lZ!B{+v1uZ+H4&zbH24s{V%54eS+kkP$U`s
zN{a;ScvvGPC`M~t_>wbG*IEkkpp4raZJ{>$Tzgf+XQQiPks{`)
z9aJ*4#)$R@5Um~rZ|`la#N_oYfX!z268W&`&Z-%ll=9K_?2RL2)zVnCD(kT^6KCtbR;0D1I3o%^Dy?PgqrMMN
z;-kI~n3j(k{jT!^|5o!f_5!G6)x9k6|cYftwPco66%{Fw*r_H?|
zJ8MxLb{0QCgQ3piagvAi+dJEcgJ^TDowd1k@h6D=;TMoto##PK>MZ%xIZmBH^Q6wQ
zrc5%!WOd?$zH8uQ_8X`+t2k5USB%cvjQNFAM4q01Tgt3wQD%ow@|PFdnWD>vd)?7T1%a<
zl00acr&Gz-xI}cuQUKmABL(cU1hW?;G@Bd_nTZjO5Yl(Pb@o>&j+-=)xET%HQUi$&
z-K}R-f4ce
z;?>O}YpP0+5G`I24w)UK99j)Nhwf-Km`-|?VGG@|*?>@aHOPeCWZZ6|zj)kkf=;b*
z+pWm?mVe0hdrUp3_M;6l8Q(kf(LY@LWmz
zDW;@~Q^sQw)lTvN0}bW1i+*q#hLNL}?86~YmXpPW59mf6z>rP=2@U107HOvtQq6ac
zA9Mx{WxjMAfm*j5$^)DdN9t>}(kaji=>$MoCwoE!#X1@36rGGD*1ST`r@vSy^8qf{
zmRy*x!gTk8&Vi&Id~&FcuJf$wuU110WKiC5B3P7Tds4UjuPUpT9Cf;N|FKXH%6;nD
z03bf~;2jgYP9CRfsdvy(vN3N!%%N8Pdyx8+w1L=&lHPQRjX6I~-DRGj@^n~wJOBMPQ
zZ#9>XMf7oJZvl=O+P!Y8jA%v{gA){6g`6IjCSd6bIWDAo})er2HZ+M?DS~7Jz>}DeuYw-Pf_v2
zgLU?->t>yO2~wZV<`Emw**F*LY#!d3uE0#bxMnGgV)O0``}Fw^VoBQr%JH$z$*677KtY1i@fioOjMv_W=;Rb#;$h
z3}!pGs2#Ly0-g|B`)G?+M;&+8l5ZN$aFYe7uWEpld^`TG;Xk6E;+F9>$!chHprK9k
zqB^P%Es$$MK@Oj*ylRIVSGy3Q-O5tSpcbR^Vly*#l~#0H+_IzE;x_dDdFn}p0v6d9
z7Me8yG(6g&YaZ?6NWa!d!zia+0~+Ubq6Rh2HYuu{Z?s313$;m;FFSktN4oopvy)L<
zufBl6LFZJsx3u_*^J{kvkXvmuC>O9mhyKL+g)JKox~AtdP);L_Muj
z|G;W697MDM9E#3iRY2&Hi0un3V*KQrv#+s+3Ttcp7);lMo_KQ05xkNZR@F;-IKqYX
zf*{spWPp#wUX^%@*a42kz6mL9);1Ay7W*&s7aN&hZW8;<66fQ7v46Hq%~53{_3E!&
zczZNbU+jR9guF4xoo@RJCnACU+lXbVf`0l{b(cy)a0IJ{3(tK(D(fZ6HCok+l(T@k
zkz$iFBH1RngKOejioSIO+djKq`I^d7e_5)$BB~6!40cbXE@~IsUfvgC42#2E;l@=`
zWo_+zL-jF-M6x~yN6J#a=nXYPJrGIuDBhgw`yo|5@RzdP)sra3{@i?=NRm92fs;(r
z-z(IJxnH}Y^o%E5HPlqd0cUKKA{JCvpLL|p_RGEV0#+Cu?a
zHcpXI(p6VfNLSCBwg*-9D6vlKLEFpKEAbzZSBVnCloTavD~zVYl}`BB5L{6GxUm>q6+y$GQ5dix%lwi?qZdMV?P#VDzJ1{8=%)s2kimPU5=2
z6XB<{XjhGvlbl>BqR*P3$e0&dUibgDe1g%+&xp$DIEVVsCEj&6enP{~rI*EJXn+ff
z7zuvG(?X(9%*k^+pf&0IH
z`c3#0Tuk{OdK6qta@9w$&fh$We9dnfTz)*Fu72{%f?wHVM1#l^wW<)q8dS&=DZcbV
zvXld=;WV7Z`aJ_h`AkV>s;dqS7+w$_in`geX%-V$5S}3pvLFnN5^wZ+s%yE~5p}RE
zw2u)paK|5k~Ww{L>cnU~SHBbw*jzG>EULr2KQn
zV*<6nf?7aOyW*QjjPm)LP);c=O0Z*;NLh)*zMiX}Q6Lx|_G4fb?#gxb#gA{W%s#b%
zd>SOP?*+}Co6zhlEgJA-G)P&ApO!cD*mV(|jZX#6`cOFizKz(d%Eiji#^-=@eu909
z#g})>XY0caT~$=ISRUT^CQo!TOhTUyYs8jPhu}$g42NFT%#~(y#2R|jwunv0=jTF0
z5&B|d(GW|gMHAOGb*}}d7jV!@P3g??`KrKz@^C1Wk)?$KK1HX>$1@P4*V=u}T$u(=
z%NfVrp*TtsViWX|7Oof68y1*XEijZ4m`^P*>qEh8C@mQ9VY$4@a1^pz@?4AX={|!8ZV0jNdZ(+IY8xjm1k}wNoEfK7Ou|2!vDP}dt*f$XjRq#D50ZC`ukB~(tW=vzH|pRTt5%?Oa*K5c9!!ggxbz462h2K=1S{5e@+trJzqdmF;FKlpJ^IfvvnHlGM1D|UH
z8{fOAPBn7PRH~ok0qk+!s5Jd>SzC-gbxC#CA9a9>yel968J~C8ub^iwf-$JT+jrPm
zP|Fp!jureXT|SrvuXGN|-)f};H#SR1*(}wsfbHlXs-r>yFLk$}ml)#sE=AE@FbK)W
zVuZsuGwA32pxL7za7C>#UXmWumpHUV{Jfu-w`=Q!_=8a5l!sh{=mEdf^?+{K%hfya
zA8~&J+;kD_E31VMxCLBU2TJSf8IUiJ&1E5Dg2(0q6=ZBaKw{ysS*D_IY?i6$ADj4@
z$u_$6J+4vyo!hH_DX;EuHxv??9r#
zF)%9ei`iUfRV+R+Q&9$Hn~E|pZz7?Ai5o%vR9rLV7S&Di0J3jH
zKB!0cLErPa+jRM2c|}v@i)DDlvWff^OrjxWLMpD9q5idj$-phWxJQy!W*gnKhNrnYDp!rb1wq|
zg(v4%(mxD$_0=B_cFC>c_koeNZ(jj3-84j=w_o2uPPl1EdEPgGaMmNPO!q_*jDXgt
z;&c3SM_@6U2mw(TdTgbe9slc~@O5+6oOo2D?
zPOu{}Ro#^!KE%BV;zJ-$K7`R#_kY$^q#qe$%^_D;@Uuqx2t95r;%d()$YdIyAd~5t
z1hLJ*H4}JF_??C{)ipsTMTdl&{e`y^g8YR6X|_1kDM98#*P6CL=Eu~2qUR&ft%|Zf
z&dIetME78o)efW-McYahlRP6pY&i-K>MhT}EOQv`2>MCRIi(cd{}Tvl8~g`4VVUD=
zB)OpQ{`-`_)ocKd==Y=I4TzAg!W~JltTD=2od?k)a(}m?9=X3?BTvpjJ)JWaYabs+
zWGDL2vSrYqXMBj8+odtr!1)!A?-ONU?M~G1&UD?a?|IR((&qvX
z9+~Cpq8ycFB;v<`*m_rjb%gac!gbUf+Q?TX-S9nZz-?lr^(7PJgI;h7ix&oooYL<)Mq{i-F3R3n|~Z
zrgHzC>zzq*=ekH5<2%>eljP3z0f?CHTnD$ncdp$9)EBvP4Q?r~y7tqx<=ZGP+`du=79Iky`+>(S3Eb<
zaP_qX>I(}LQU-O%0=55tK^-YADB?w+kTNKw2i|o(LU{(Y=@y{AT?tTeDKa#oQ)Fl$
zWl-rUvZ|$}(BRMTkBd4fr5qPvG;6dAuGCwuG=+<15!w2sAUe1xB2Hg;-*vyjLxyy3
z0MhCYTnp4n3(Z>=8l;Toa|_MJo6vk&S~SFn(7Yw`LH68Q*L;PPal8@05zXQ6k1&g`
zTVSqOU?@dE4k6!*A7YJiR|(ZrOqEh<3VayL6~TgR#g8$bkusLw16VjDHxZVJ{E5e4
zVaO*bM4o(-o&>}Cp4we#TkI|SBnh9ow&LrzcrHfjL44<&Slor!s>Om`l8Heq#`{_D
zotBsA5d|)2BywbK;|5oBVz7A(xgsRTf3cU8nCkbE_?NAY1pTtnaelwHvEH_rR<5GTOO?n>^HjVt_oZu|
zKC;D?hk1q?d2ST?R{p-JI<>$Z8|G<%GJR;Ss){dQp;C(ctpk9
zje*)!7>)|)igF2V0n=OxSr#FtVHPtgm*~;;6
zU#ZBdI(o3XrTbg}PPwY2kvQG)KepN`3C}6Q8~U8}unO6=k3eR>mn&
z27XJZ$sX4fb=uOv$}6^3s&!R-1u&+S>QWV7{D@6a`3%7N9i~orNYd|9m8I`&Uezc4
z6y0wxKKK^}!#2NhMi`*i`vLVgq)Z#p>-0RygEru{eyZZD$yyy(P1b6pyc%UyleIbnzwcx@s@c`h
zUeFHocWR#pHz7g$zRz}nN8ab#Xc{=`V7qo>Od1u5qe+7;#S
zs`2-Wwyi3nx&%YZRu|e!=$J*z(a;*zg|=#SA8lTkyN_yIT>_zyGB0gWKiOgu|53`f
zSC^%&p4CXz>VZaRul)yxfyRQ3mh^>I>s;pa%ic5?m0w#UZPx_=q>RU$+pLTWko2;2LZTMAy>Jlh=xw-_3
zkmvhYGpieVwI{qS&EH14$|byR>xI
zkMcg*2HP?4U^{lo;(HpTKUV&Gei9ZSlHi+A^R6@V#wfI7u|qwO$f=3AS$J<{
zVam9>W+^)ho(u;mSu*f0z>N=Tis9T|(+`I&*}ISpx!Vf?kF3#4$dkv8pOm_0dF=MN
zXxpczH3nWjy=M99ui>IO5znpZCuU!LOAzrFLBwe~e+52CcaR>lzmDDojM_g+d>^_*
z$Blcf=Dr9thd!jl%{9sxW#}K4u2p6EgDRR;D|YTS8fE^`%ytg#lAVkDiG~attH?C`
z#cmcZF52C3G@;ncO$#wDJ~NjPSD6TyG|5kj01lD*%-p?pcT>tVop1lIc*=Fs*i%-w
zBgNUe(Oh3N-MN(IqxE_y-WfAdk9E7F^w9coci=-osF37cwXnLo9-6Vb(LIg5<+7eS
zX@*|#UwaLF$(!o&HR78p2ApLy&Xx|Xu%*jPV@rqk?ytJsFRN_)$OV15fIZ~rfynP6
z&%)31k%#P+MmQEV1GUMpEyOu28MbjG1fG0^2_AA&U3YKHQ`D6>1#WEJR#F$lx=p~x
z{>WEuyvY8reI1o2dOjrn_%6mcdwF-=kgDt}XH${r5d!f0%5mFKE}Gauf3XsGuqJ%2
za$WR>T;(<~?)&`f&f&Lhqtq{!BJcwQqzGhL5y#W$jzc?LWsR+ke*9hEf>XAZEI7vl
zNNlxa!HJB6Fk2?wD*d)is%5Oj?dfns
zy#i*m;w-KuE6##ivf_Mfm9Gty^NIsXpKf2O6}sZIQIjBJTAC*S4J|h4inZ7j<1gQ0
z^AfR;!8H*`{SNab$eVn!3-mn61NQ7Nm#ZxcjiWZ)8rGo?>AHq@)DyPH@37fzP9
z{6K&en{}{cvyPi%HQd9f1v2ZnF~)FPz8v9HWorjk8a31E=G5AEF4^KuK)vQS7_
z8LyYNv*5&tkh05+lw4+olp#$Hg+!|j;=Dcus`NV$|dj@{E
zhE|$d>9Vj@Ob;|f?(?r0n?Cn>B8?|8M;KGQtTe1G?sG$uA+HVh1C3au`_tKd#<$z5
z)OBaOkA|2K|FTkH1Q9T4fuFQMNXc@|>g;Z#ZQ1U7gUy(!3%<1tSCi9aQJF+@LISvY1UM_+I*|EJO44!fy
zrU&fU7(JqqJ4)?O7h`72Kxf1P{E#ljY(oQgiRq&9M2{mwj2UFmMt-RrwP4ZSQb^gD
z^=|AQq_Q&Dh}+UL40;u0EVW_R)0()SQFmmBRm;l|tJW+-tXf~I{GLELTQ#uoNw;Z6
zs8vhU&-`GkZKUhsdhP^O1JKB_p>vjHn*dUuWosJfS6W7pWt*EJZuD$=p5$q&^INz-
zQ>##gJm|MGWX2<95Bf_WAP;&oKw2L377zv-wkeeNNjccCfd?D5!xj(Z*|43n@~4?+
zhT0EAeh>OzxLL+6td2k;h~z>eWm7^ag#z9t>BM^n46dYBKtkk3zXt92+-P+hJ{d$^
z&8j0^rId_Y+d6vFoS0mAHta)Ns508uDP?!Thw&g~JV@EJA!R2z19=M!JJGK|Jmd$@
z1~{@yGms~fHm#1Bv=`AZDF{-cS8qOT=RT?yq3`rA%Yr&W`(hnGEr$a>v1mW?({ebV
zsE&jK(5Has{Ew2}j*gH$`_^jYqo78}o=s)_iJP28qex5vfU-S9Bi%+sr^L~)V4GAn
z6MwOTRW?(i0hl`MCXWv>BmsLCO%zNUkmpE1
zTBf0&`Q5fc0+#JE#S=rR4|Lm1v0p3mVK;i>IeB8C&vWjJ8ENzMM)PE?(m+6NMOCzf
z9lz0Ar+0V1qN-<#vEn%8Q^-)9@&%xvIOSw+*V^1q#6vPt-b^u4qp62HeR>0Im8-V*
z6zJK{T245{G>yq*)3i3>nhif=^DaF|^t_#EZS1ex<}1|Tjs4MH?je+6+tl@jt%uqr
z-BQ~!*GAog-=0ywfEoE&$1}wu9YK3|Bi6kwAeY1F?tL+j&UKYd)x#F3C=g4(x1dcj
zIsj`K9d}m1=o}6p{zfD+_iEX3W+JKpZ+w=8_dfR`RUwNG)f08p?O|P27BaMqXHdl?
z4_fCjU#FjYylR~#^R-2m%vYo^O?7qM{_f7Ica|7~9$9|-)CW9*?Nc1(eF6@)PsE6h
z%v$Jf1Keo}*=|Q;J)F|##+u>-do({YvSg0c%F;!SDEta7nxwb?zX_2R4Sjr3@Zvys
zN`;51MIOG3=`SAoi_t?0gh4Yr^s5J`+h)?fgacs-72fvKzT>BT$D;LZ5tANpbMQWA
ziTxAxNtWymzd}kkuXjL9^l~Edyoi6Er85V)kE!G62F1NT|NlsP@4%>v?tj=j$-;)@
z-n&aeC?SN?;WH`Z-KD1gkGeCCP?UI6h%N(R0M;9vC_o?2v|`N!CpY%QLyX#
zIcMf>Blr!!_n)1;Q_h?=XU=qh)h+f597w|YNu=+!8iwq@-CbQ=MHbgv1htBoW=PVlB37;*Yc6xQr$@vO!%--%=XD)Yb~FAV4~R`dvu9j9+n4k_}0}VAvD5+#>@>m(`$w%V^4e$
zc{sy-5?4$!1UeYE7fhs;g`Aq|#NM}=sNr-V{RFr*6?a5(0eZ{fL`_4kZiSc5E~|4naD2s}eW&=|^NU$qB&Vojg9c7AnKh_v
zkE!M`(MT7or;5q+Oq1Vnz&D>&>!XX+^A|&vZQY`HFl`@?l*
zpU%Mi_T#$LR$c0OjU&E!Z|p%`Y^%Q*yH;U*yIgnwWfE`CPm5ca2
zv&}go1DZ){-1k24=4aGHGaT>UXWlLTNx^esW<7CNDzz+a-v3Hbii{Hpw7(^_Q)-~^l2VB$i?w1Z@i#b%0Fr9c35^8MJsbAGW|
zPHfd+H#69(VmWYx_gCeyJAxf2Pc1P^ikE^bXer*-u#bhpmQNivJth7d*;tvn)JzZ;
zg8`P8JC?k7SQTd?U@()0r
zD4rd~{>TnT5$CB6W}BbkSOQAvz0_n}lh^!@FTWy{ZsEcW=SxY&?ebIIv
zi%!lp*P3YtT=xK}PiayqgnMorQuyo-!{P})hI!h$!+(jS=kT|
zYBJYrGASf7cWG>%3B%^O{9*$@Oy(OJ5WbnrkM#HZVSvxx31A`<09lahYv;~?%-m{F
z1QWU@gwW*Nt&f|t4Lk;$xdm+o*K9p$mOyZ5i#mObP=({Z7CWUjdWV
zr;vQ|8S`auYUoaLu<;1j;NApi=(`HZUv`?Qv4!Z1-KVbUrMgZX?t8e7Z1AjEi{9G;
zK7rg@pEcX%nfnjQeK;)l@LlH1dFHOM+iYTd7?ykMZgUr~On%%<6$Qa_Wsr>=Q(w8>
z3;jDr2iR4DxGJJ~su~=i`|X!wwu#H9
zh-$C$wGGWzN9E&zWT#imd&ukHf#f@{n8hMTqm1m5iEeUCT^=WtNh2s~_^&Z-mw
z=18$z@h)na!W7Xd|5yo>eCbGlQ;kr5PF=sxQ%0^nU?z*F5kuq2C#fu+NJhu~baW9J
zdC;s7`7%+_qZfvrr#>-@iv4wIZlsRn`wTmOY8FYjt)uX2U3uT9W?6v{r*j*M54mVv
zaiXr8R%w0?)5QN(dcrw>>2h-W8Ph9%41nM{F!EIX6U4pe%`zH+ax&qF=>;*v4w`i%
ze8A$4yb@6H`Vj>zn4!(U&|DBiL*FMM=5x^%ZQ>vpS*jByZbxE#;R@>f4_Hrw;h5n;
ziXg8XHH$}{AU0pF<4uaEe`=IfuO9yKD63vQH5`V1UH{Q+B_DhPv(t{UB^@(MMs`77
z>6v6E;oJ`hRLhiQIw3Yx;o5~LT-$niDcsFtX0oGjEkHv1ddjEo^rpGPolYPVe50tA
z%IubFVp}101n|_e6iT)5ni}PkDU)5%QPZhtK)t?y%Pb`xs3+IF3$L;K+h$2)6=hD7
zJKi=++}{7pzNO~2sCg-lqmm4!*9(&YB~C%2Uk1RDWKg+%Uc5>3H^%g`gVtB_ZAK;~
z7W${ea)kb|SdN5=W!-Viu_&=rPVoIqN>C8Z8uwYV#MZpg~*OvfZ6p_nMTJR%85nXEs}lq&;Z=Pz$fzNppz%7pf+~_rF_M
z*b%W;ZxJ4DDL!RZlk?re9TibOM0hcu;E9Et@6AFu-?sW)EM(w3$h+pW+lvk78&3ts
zUY${2Tzw_7i27k7qr|(A=oc9<<7V?=5SQfO(`Yu8ft8XE{ZsPkM*mno-Rg%no2WAZ
z`N*s@W^H3MVXYg>NTM*rI^Po_gCTe)>{jdC`8~6Q(^$F!@nQ8&HXt>xufdYF@7j=QSl}2lE=3F|UUO
zaYOF^5WL=p7{zP)r+9si{xPr5h4FgKM`mxoiTdFqvv~6V2qM};dVIEP{ID5mlh-d^
zuUkcW0if|qkSwlI-Vj;b8zPGz^OVJ_ADg8dS@Z(LD_R!jS@V9k*??scE%$s7(8E5+
z<;F9|p|VJ#JX-HdQn7$6mVW|A5_27&n04{KO!5aXSJVsMUhh-oY+Ox2mwtYVX{%0D
z1ieqo27x~Czsin3=aen4y02jY0Mva|&hMZ)RrWiN-ZZs=>ctQS_hS9PhU!3xENICF
zVa<^eizCtB9KkSFkt;z$lDj^GinIi?l#0+lr6Ld0KUR^4!DyP)b$YRW7lK@-k1v?T
z#Pbd0^$TVqRz<-k-7IrR03oU{Bt#W8f8p
zhlZS_ni71+Lo{R{V&1w%Lp~4Ekn>b5Ohc|J4f!QM8giXAM80(n819y88^2$s9E0}<}
z7|^b?M`SdV&A!EsiLnjyGT!d*%)}VoSq=s2<8j-fImf*cpzxJVa6){X;fP%ZOhV1Y
zR?equ7ik1JhBo0GMn$0Qx6sL%6&hX^F)b8YF<3P5zoBi3a>3!%~qn8j;`U4?s5%F
z1szqi(N>?9sPsO=KCE(
zx#}t#;tu_e$xfZ*`NJ$Pn){Q+{$ZANlAiqorS9=3Mf@2kb-AonQH=5@J?BsIiJAV`
ztiLd^>}{;N6HN%stUH8U{ma~9tWkt88k=;{HImWLNnF=1l_b_QmQVg;_H&Ar{1@~e
z45ZEd*KAFBs0WMDRTiWw_gaGt7yf+GSdKNUuHvi4G@npRUK?yh%8w1JPSh8Q@yHM-
ztnmUNcY_*8A%!=Z_gI0=l{_YPHG!xSeSbFOqs#Ke2y3}0+eA%ECN)vhk_dTzdERNe
zylBuw%}v&A;w%JIZ3Gy>3jzN^E7Th6eqZxYEN$QCcJecw@^W=sv$Bpp5ry12zi^z5{=?QMzJbA@>jyD
zQFUp4(F7ctXcLcWIQZsSwsM86zVcO1(_b32ceJEOynVj1>&T1mW0!`;!O(#OonIa1nwaN&ov05L3
z)kFEkieM43&uL=u&3eKMW(PIw*F#_*z600;i(7TY*)Z5wibDgw*Ra0{f&Jqhz~)I_
zyi`}rsv{KIUFFhvi&wS`+#OuW;^)D2%ZY26Pw^8+NKObzP84q0V;9R^U(z}%M6ISu
z!O2cy78{jg!{sCHf>;$glVnY%bZ@SmB(IjW${AgQ({m4$wrnF5z_8#9(p%mtCQlzN
z5*-R_d!7LcsS_tI%vQ~ZL
zKp>BsV!3-eQy%*IR(Y$chL-~cVc8E
z-;Yh@XBDk7#&wpQ%;;d*BPqd5
zvG!BQHkoWKHf1pFPKIWwRt22_qU;Un?F-HDW2&_~6vA7f8O+*NJ<34xEv7qZn(QwJ
z;z)E@?YP`j&TnmRHom8liEa`#n0c2>y=W&GUvI2r)i*Ec+^QSTsbiIG;zd+;%(S#g
zlgCV)Fl^+=w2|w5u@vV@tx>N=3U{fuY5=VtfK7a1WHPu`2+PAv*PLss!;kw1nK*5RK0%P^^(P-oO<@1U-+umtMmBe##{y4tu4qHv<0U
zn$w`7vH;S&-FvY@dO--%(r99}#a&;3%Gz>Y@S+=zl%IOhkN+TOJSxw(Z{apK2KC6_;4{1
z*b%2!mqH5U{@c`QYPf$;8NZ{9)nxOFZkOX<)<8<+>Tj<#_N7DVOr#
zbFEfZq9Gz%C;=w4fiHq%(d4rjk@C^j){xM&(*CrJHdbP6WDAEJy{h+RW4X1BRaw+-
z5#-Z;+s2Bk@G~gSjuhs29DJ$fyQJ)7JuhBCEl=WV
z17ByWcI-=p1vNbcr8>2vT)8=&tuG95LL0y;5jkM)3A
zjE!p6c&3*XSDiG#_Y3{xr2qs73Sittqkjw>JNLHw$yU9sk+^Qz
z+tEstZ}hfOMQTf>n{l#QA8VeI^mZSsm1ylxYT4I%*h%`cuhl~IRY`8DgMnY}hy8nB
z_OqttiT}8Jfxj;p{}=AH;wrKRM~)epnwqx?YYOB~_o7L~$x9urREJ|UnSNJphyK=|
zB6d+89P2v>HLeJ*@zFs+ZKh$~6%r(BGiL``hw}uxYcRk*764l;KtsxZgRD8k>TWCw
zq2XRu+t-I!r^Oo#vRc#;A|=6hpk?mSp;kL1;{BG!x~xx&$qK`*G;zKqt-)5_cr7l<
zx<;{}qb#Z!L4DjkGoy*bm?xWo^L4Wm$u);<9uhmzPm4(kg&*
zp;nA?qDFZX>idl-3P!o5tUB5%(eQ3G!D0V}EEUcZ*}0>w&4g@Xx>W&J_YpShn*SB&
z)=aLMJ2TyyYv5`Xpj(1ioGi^TRE*7c~ShFKP_`N@#ZT^eI#1
z@eHdq(dNwrZQJ~`ISpWQD>)$(CUj3Lc`DQDhbM1Bb!kr!NzY+($v@HMO8d2U8gSSg
zPSnhna@QoQc!Meb7X?)MRtik%eceuVp9WZ@zw1XhPp?AGm~8EJUr>3^E7Y&ejx6RF
zuUS+@ZsrtgfDo5k$#%2&8Ew5jq3)0yl1>lYy9JB!6cXIt|zJTmUX5WhFjspYL>v{qa6JG7RamRbGf(6!i9WB*j5tvPPwlpDO^XIi3j3#apF{;@
zZBNM_%dB303}Vz4{9YWqEPMD&p}DLXlKwuYl6TBZ#?>Sp|yan
zxCPrVx<0cQy*u9#^_${d%rAZpWlxu99=6it+=W(@%wA#@lIQ0t(4zBrk@
z#EKPH0pX~p34}0tiB;8%YvV`cI=HpUYGz*d!}i6s(PuQ4TZ!@YkyWWc1Nz4*(4dW4
z&H>)o(9&9Nz26$`C!+RJYo6%QMx7V9H;4+v(IE}!MaN~&kN2+tjt^kpv5msMV-S>J>{k=ctiWsNA7j5J1p8L<#BwXck9~T!
zwNN~xvBye|Uj~RH>|>tv*OWaYNCtncusRrTDv|`um%0
z!!_1o;cctV))a5cXKS$1ki5aFAh)h`yWD15B`jI`A#0ZWc&*h))M%?(uag9mSG}!j
zy_?rrMdhk>@OfIdRZX~gTXoE$XIpj50^hviGZZCoy|>Yv>Z*Zpb$0}27)Wa1KX1Tj
z*Tmr$I=$d-%MCo*-@xy0E3-CQOGF`rv@Xm|c|Gb1ZOU8Pa#NQ3*I=$YX%rT2`AW0R
zC`FBVCy=Dm468t_YRrI(#=M6PwQR7|X@=K{6H0_@P>z~%kxkY(fe&uVyEa)_;uFov
zOPZCR1Xw9PY%AY<*m_;uRQyZ+P_q{NyTP!r88pcAJI%B<7C@!qW~)k!%G1d}7x11e
zy~=8Cz84H2r~wyi=V(xI`o|hnyq#*mz_!QX!fj-)N3EfL)Gt12-6v{cDw|GNHEO3$
zSmB%1zXo8a=9-;J>OVn_--=nDZtYkLk^{-Uu9TC;@j+Bn#zi(bP#1MSaOJiwKY!GU
zFTzF{gsUPVORCnhtwddGKm&$7nA58Q#C0-6}O8*0ggZ=1MOm-zwCT}+4;Jx
z(=G~aw|b&ocfhN)2NBQ*hyd1~-V+%-$x2
z{0+h*t33^Swhrh&ZKaFE_Uf!=rS^PQQ_gxE4dCG8z@5*fRX{Q|fI98fxwK;K!CCIj
zJni|kW^vQEmgrJ?pD54lP^}>*D7J*$wi9i4T?qXF-uEV$EVn-NkLA{a?f*C8)Hi#
zRm?)|t=Czme)9g+L4#1&G27ekTuE+E*
zM-T`^07P};TA=i4e`%l)E5!>|Eu4ZGmSf?#V7zKz9<+LVoj4lI`Mg&Wm02t*?V0(;>BwvmBF?|rDGf1ofjIEDF+?bAi<*2d%@
z2op7gECper!lC;WO^X$fey4;
zW32I!PNw%`-=`9ZzI4c&-dHRBsx=ks0$iN$qQ25W&Dta6Rb5`KD$tRa{X|4Z|EjLL
zBh)YG%98zno9C)70m3qvT$2ky@|D(z;f1gVUdQxGiUwVsL01(C9Wk+pE1+xL34B^q
z0#sg9LU?>XI%R~s`1ga%g2G6?xa8Xo>TLg$2dv{F9fMms+ds0Syp-cDfw3;V=O*9Y
z@2ud?3Pq{Py!@gxQl2=3C5jE2G*ke3E672ItxDoa9l1RW_*3}@-uwtw759e#*Ee3j
zt0Rwx0l{gHEiUxZh^Y+tyg4hr*<57$*1R7ZZTv
z#m+Gb4nBERX_oq&9tQTlI{^!&1ePsMSQU*1xnoXXcLpKP^wkAiKYhu$ZQr%}7{>F8
zz}=d_-9%uD9D39!YaCPP90^0`t^A?`m`vpb1qYwp0PjD8fznkKcR399^*e=KP_{S?
z`6$?3jbiGvNas)$DbYEfDncj|2X`|E0XDbF2UZC|@R@}>Ls@wABWt2zbf-$IZ~V4^
z8z%lbU8&!>vod3Q&svR*G=!eBIRhuvWB)cp5GOt$fZP-1MDMQwbIBb+P|C851|Wg#Zpu#=(%mKSp#v-u?tV6#cKv7
z0^!xbkOhO8m*fAlF6O@dKdYmGw`C6fZCA^SgKMf&)%>GiTJK+WxmQytjzavk`~>xt~iBO{c7D!2OLx(
z@f&8+PzW1CE2;etcudN#9Li(D#c@ZCl8t@5I$mgGTE?Wb5yPhZA8X^91Lc?l5;{>v
zW^BjHX)C(qTEAP5;XX1#L9KC%bzND=367B0`Ek&5n$LET@qb!_W$Z8Tm4@~)JdWT|
za_67c5L}SRysGpUtkCOB906VV7Y126>8-yY(9`~;Qh!_Pout!$gTr6?lTzq}97^+&
zqo$)W=vdWNZ3tV@h3F|I-~Y$*dzB>VWnE~qZFzq1V+sD#uH30z{JKwf$;TfcFH<)?
z<}Mx0)U(HBx*;vWS6c4*!>XPXLx;hz))QW!Qw^Sy-PZ_%gs5~EpOL81Eo5dkR?o}^
zmz6IW_6~PbRRuP`{SjtI=+L5*pDU0#!v05e%m?JF5%x}Ze+9YUt&kgsL(cs%(#CtB
zqw)c|WdZwzq8l3Dr7js&N2R8znx@=ZQ|nu5>Riw+W{3s(sObr}z0SQ>fnI$pXgb3a
z!k*k^QFdoTJem*C@zHh<_ihFH*;_&Py#@43(RLq0ypj*l-AucNIffKT=@bS~SOPCf
zg9W}#I)VIK9u=QK{c2Qv275*5ZWcYyjsXvkitAXmk4D8?ExVUt{787}&GO%NlZad{
zmrX2W$qzjCa_q1;RM>7L{^_PB&i_D$t7c2GX%rpb-5=fcn%NE;vN*a1oDdo>WA92~
zo1Z5_Oq1)_Sd6zk5yJySMDaKiAbF?^Lq#A*=(1D&Wf8;U%iN;&y~Y^@7
zmF!OEZ10Mg417-N+H_Xd$7Ult>91wir%D1FCO1{5$Qv>A366{(6
za^cyTOWnc-$Q^nF2FSltVKqShs+$@hPb+Cpb@xRcC|+->Rt=D2z6@mTDN_>damE;(
zO5@{ER3Op!Wj8fGu2{;R82K}dlQg=cjV)3+F;Xsup~s;)xYiRR5V~QC#>wc>xf&kj
zZa})e1#c5z29K3{&^J#Eh3$Zz4`AeA?g@f}ICj=|l(uWbX$n+ufGemfcJ)vr=A(C3
zODx}tf_oAJ5S^-$%h=`7Gy)0Vg;v$(O8%>2ui!fNXZz29evt|e<0PECbl8kDBIK|n
zyN;l$aqWqWDQA0RMiO?C6EEN=Qpn?agjP9wK7F%GJO?G{GKpC|)R^8bZ)b?f*z;Z9
zE`jT>0af|NxS#qAqC~@qmm9Ug|_src>-7alV1k<`R
zgx1`iHSJ_WRJ=z`-ITpYjq(t3BcxHDXmXF5tZI0V8lgC%ZF)~WMN7~?u;`@$;hQD}
zM4J8{9tL>yod70c0r1dgc18I}ZToxvpnd(@>)7?h1NW$X{bd1C+d^2Pl6CFp{Q17G
zi+r0^K073zao4&-cx?UR(p?5nVC73w
zJ!U2-MDN$ke*rYWks!CJZ_AwLC{o3q@fh%p~2m1XpsMnvrcKo
z0chi;^;bg$l3Ssv-O9iwW@3;U$`9|QbeclC%V>6hc{4E5q36&Xjh>TV<^dKr;dQE>
ztu#T>OUdSO6?JV}L{up7C+`F}Nd}d$u^KKfHL^?Ou5F2Z$?juHGDoSFP|3uBE5kLX
zgCz4QHOS5LrA4M6=%sb`G1rQ?Uo-djkb10F$DYwZYk5-+V6@&y_KCQ
z&|ArbLb{qLsW+P#yvW(2xn0dKkL2F@RA#{8hEiX_5%^{c(_X`E6AHKEoxmkg03J6I
zgxp9bbhKZH@&O9yP4CUST%87zfT#kL0)-EVLCo#V+cXLU?~mDoU3U^mhAZgwT{6-%I6oZd|o$VVRGfbRB=+ZX-y
zzlzT5VVA#cQS24W>Sb46*Zr@^yem%bX@4kAf*k7o-%;%0Ij5H)Ce04sxL%6^sl&K6
z`-HHhVK2L#(T>vVk;3xbzFp5n7EZXWH`=O?+PjXB_pbNq4d?#x9&pfB_d<(tfSm1Z
zmn?C6AaYnAy9`YhU_{iTGvrE$;}QWxS0OR-d_hk*lp!Wp%@^?g^<_jyg75wSkMx{D
zNTJ;3eK7)YOO<&8XQm5UifSWV2_T#T&~rT(@r260-4ENDk8rXE^t(Dr{n#pZ;=T4W
z1{`#d5*y*ud&Hc5YaylNfC2Vg_aRlo0Y5@c!>b#L5I|QMXg@BDllcMd8DdvAzX};J
z@qidI;Q{e3a?p7|{1xg~1LCjxgbawG&paUhWr&?lJ6LeGd8*9u*wOOBPlMT^QUWb$ac;<{_a3*wcTd1;u9m=%C9O+i>1fH1AE8Zd7RK$sQ`0l;dQ
ze~?gA4NRyV&A5C1{$y_
zD>i|?_Xw40g?!qkyxmuh`@<}gXa4JB>=ff`&hH82r!f?^t|vci$H~vq?HD=Nhh7J8
zchx1y
zb80{Tu(cja2M=4{0D*Z9TLFrFGlc8`B*?f4_8fsv9;p@Ur@Gc6{nSXU@I!LCHapEqk%$uCX>hq^+9+!Z3^M_@-~Vwl!9({4a1jNYg)
z^gNU74dP{u);^6ELPqPPM(dpbTD)9+D!+IUAUejT;oy^d{+s&y=PI
z4l2PMeO__YDDvVAY)V7>?lBWX{BHLug~Qy=O#2=qogwmFscH8r*RuoEme&4#_vTaa
z0FwRM`2kpn;xWgXK-9`G@aygbJnn
zXK$ec85#B#egy)`Tllqqh_?XY!&}%I!?WqE583E@*IHxAWhfv^t+BTW?*QJ!7-J4_
zbS6Acw9H;>PZgC0sQr881}Lwg^Z-e&foQJdn+)K&W6^bh+Si9~nm`u=2dI60_~w~o
zl%v^mF;$n#)a4fHa`>jnbFoI3!#9<~(@QxU;q*MCi#@4|Nn@RwG{-mQs$=DQ(k>&8
z>9UA)>f|d?0z~?fWX^;3Mqv(6&O^Zg>^uanM7aWfI9oK6h&QUUE+h{=WWN&oyPsQu
zR!?q&5Cf@4u4Zeuf$}+SKxtX*VR!()4^SRJQ~>DB0qg4^SoDE#}&+<`j=IMeEp5_`e>~4lAJBWpg*O8OA
zV*Wd6kn&&}3{s9>-9f6;P1D?LG$^0)B|yZ@?t|o|Epc^lVLLN(n1(wz4DN_KflJH;
zeAb&Jx#Ma3N1%UZCoSEevlUB_1ct;U0jBPiqGaivc8@$n>p7@2gPsHojsv6@Lv@uQH*vvcJ;kRok0zTNC`-U^R1t
zkY{fA^5VinLP7BT#s39@FCDlMgz#4iVGJF>@+$E+soM#bZeWu~RMR1>MoorrALiU?
z9b7^_@VdP#s2_uI!JM86>+-j1^Y#K}rBm8%Y8fL|zpS`s=*
z+A9FgWhNI%DnhoMeVvJ@TKPH?hlKb#X!blaGUbRpjb=txykW1AbB@|?i)BOD!x4*z
z=WPLqE8n&!V7GhLn^;FThN@-tSo);h1=wNq*gM#yp3D)vu#PYZ7wE0D_KcYLc7nSPhb$d7)n8Bf#wYfoAGErG~l#IDy*EA1w+(~$JZz9zV1HA
z14;Fws`cV}Rv>E+nRU|s)jd*W8Xm}G>P&P|T92V>i~2O3OdiW*Dv{{R0*`2m`rcD^
zM_h)+b?_GT6+@M`f{?uxx_Asv4swQ}CF6<_{d(p7DS!%gTDsGBUMueei_9THHirm#
zMD@T>W%KVJsyvnC_w3R1wjdGA$b6)cLFjj#u&0(Y@IHXcj7?SXDk!DF?e+YkL=Xuj
zgp3kGM(O=9lwSS7-YLoqQ=VKYywgkjUJ=rKg?#+9JuJef>y~xT*q(&j@_@=vchePj
zC(%28_(peAUeY#UF+@iW9H!g`4YJCxVfo~6DcRzz&4_XDUP>-JYk!7|#I~J5*P4K;
zsB3lDeCZSW7u;{6Xj-RfLP#v;zV%s+&eNgjRNb9lbO;y`dsG9$H}|a{>hJeL0ay7r
z-+&dJfX7lpNJ}ue;)0!EMEwdV(E1z0l)2LlfqK_(Fa3it%>DRF`#VGQM;eU-`Vu9ouNG}VsRqtH;Svpep&xkGI!{Fz
z@vS{bMqk9prt~vLacWWA7asf8E|zp#t(Jf>6>E~s?IJ=BSN&mw@8A&c8Ls+62h2;~
z-2oWrN>RD>8&6U3W*C@>g$fkDeH#M?d>@d53HQvOg@NFn`9BC^N#QhQfPo8x7)bjs
zdyolL=3dD-&^5cGMj$Q0S5OZ7RQmRb*8P0#|
z2p;V^7*x9jg9|^~BO@@|7>t2)dOrjM)Lg1l9d&wtK}g5Qo&pqtr$t^ROUtkKkeDrdPe8ahyP(W
zG`3P!wd9f<$l}{Vxx)^E&KkkpH5}fif7*$r%EAXf?;D{Ge%|M=0|0^!ejX-Ln5ZN4
zj}H(YQA7~|IQW?oQ_~R*y#huoiCCU$$ZPWpl#It8UHr7a_-S37UcCELw32`PWw)j0
z?|O{H^KkpKBBzM&H8XI~%+CzO@fpysN62~q*axwBaLw;nO`?bBzYgH;8mZpg{BvPs
zSzLZYS=4jEp?T=GgALU^K0J5JQ0UdW3L}-Pgp)!97|TmW1$npOX&_H7jx2=xbvYVK
zOq7%7cFK%Y=S0I`-!MDL)xwh~;zz3I-+(eZO&3R~cRk}}l?cxQ@x=(`8}YlIGe@ek
zqKiiISy5w&!krI_EFwbuBf(VmO5#WILD3R&sLL~5_V~vx&5ukxh78&P
zn>JEik(*S&lj+_`@d>`C33jPX#k$0*6#DS8|)y>_E{aj?@
zuE_YPR|!a>51i)FkjL%mO-BX*QKmF9;>D?v%B7&N2DZ(Ar_v5CMcUUWq+P8ah=`yA
zfgwcE{Fm=ZT+Ib+0f+q>gw#VuoC3{PRz$X|E4(z4-^+=ZhKyPF
zMzxi#qCHat7{RUW?5fBGqH!8K<`MPN40+~n(T-S97qgO)t3=N<<)U{@Q!aYPG$mwY
zbxdT3H1dc$Nzb9kMEUC4$oiswnv!s>G-_v!%R(;dz_o7%iaC>c9SDT-i|eE**>ABu
znNdq9KEbyLH5Do{(T__JoR33vmTXbbGgds5#vQ18BV|tXb&&JDo_EAF$fN34VQgtZc7Msbl2&;NZ#h;}r*`gF0g@0^O3gKEty09EV
z;wM|0#d~~yiJjjRIZc!u#S$};a@Q2~#2K<=oW~=#Eb~^y?#4^Sa1yx|1^Vo45&-Mk
zQ%42K>XprrwL}tjPhkjyZP`W%Pm>@~4MizORH+0(iK^r%5>GYkK$OsaN3?YjQp)1+bhrZc^TBU&U
zMv%E+CwWk_M=AI08;$UnAqa0QP2M)vG>?jQJDlXqkC9rleRqS}v>N=|~}Cvr1z#H-HW8j3Eu=23V2=
zsTv@f05w1y{Mu8*lN5iD^oQHuIYNTl-?`DD?QcRg&p?0sv-d>yhx9?E>PsW8jW*<-
zJ&{-O_Ck;99<`&RV7fAw5m=|)fcKt}$EjbW2Q|UnFGN-q*G4OI`6Gx6HJ7RBfi@`c
zU$?<4qm{WFp5p22ZbtD5zPsh26weEyQM#HD=t-aY8Io?4BhiP7xr=I3%d>*cc2WAp
zo(0@uM7nBw2)XSQzgYm6l5{9!%Sp98wT$~X>$;rZ-C`y{Xwx|tK!ZirkiPS3hXj?{
zAwp`0c>8i&9nW+GhiZD%+wnuwS(WH|(yE>+IK;WFuBWq+8$`k0Pzo|$iJW1a3Zmcy
z<5g9xNmu%GCcntNm9F#&;r9Bd^ex6pUOb6QA2e2b9jt&{S-vk6PB!7b@$HBN^Gb+d
z*|Gx(w(M&N3Dzv{7)P_bV?s6Sfrg$*e$9eqkH&*+k&{K0G0MDG$i3XigJ;BBj8VPt
z-D8wmHN=7Ir>q(=fUC8-!5F_*-6JZDQ3{njCS0LLql9DB8&GLw)XR=h3Ke}g^5Lkd
z6rbRmjKVpd6#4n#$Q2?3ci*rA7pZ)CeJ)bA(%4qFEwj3$SsFvPX--Ix^)8
zFgBn!#DO_mfU<Vn^-I$2P^(?2!=zXt?`J8D|X2U~lF`32Q9)m2bd
zYlGSg`;?$8`EDD}FY?ir=!OpzEL;s&?eUw@$v)NoEuX*k(mo}rYsVuy30!!|zHpQ;
zTvFXo!jV*IDy<|H?PE#hZf)-=XhaR7gaqFJlqOMK?BH1}`uS9+n}Lv|G@kM#`cN%P
zY38ZOH^pK=At`0~l#~#%l-_+ma*)^r1W8H~CA5?t0gPZN^`-B;qy#|rC{L<*LBqf|
zPl8=+8JR4O>c~S3xT<}A{Hu{(fnbo0~@=fj{g+Lv|Y_hHa~x&!F^c5tNJ*2_~}
z=9D$u2KYis2QopjT=ik({S?7kH`k|37ao7<34hOrPddC@n?TfwN*No%dg~s~
z3%G;}N!55qCoYZb0=I@ekd(1XZ2^H@2u!sQgdw32+Ilwf
z^y8tVU->L@1CCmQbbT=CO9FxQY%qa+i0_a;Upo5vSho2QpN}=^M2!YDd
z^Eb8$H!bXCKc8`nRyP>l4>IYxoGmIJz1rx0go-Bma0GEY9R8x;MdsppE&{_|V9q$U
zKDf}kM_*5wbs1ePIkdd+;3-N^yeysOp)Fsk&cw)QaST*zb95YFgGIfBzVk9isDaFp
z@kJ0E#Q9AUUWgA=aE&XdDlUK!GD|n^pcXPq@c&wj^3)Md1!1%#sMKQPiHtxkiR1H6
z3!A6f{#v+2p*HRh5gr)hnMSpPaIxq9-VE{1HHhhd5|=Y?T^OTT>1WtN>dj
zNP(@=1=3`;N_`0lwn}{`gj%I>Q!$<4%nJ4WBeK89n4o5b#!bNZ##f-7Z2l)4y!$68
zS9BrJqASl3&;SRSoZ9D32(m#x{uNnGjGLgmoY9~R1DrB}`Ji1W=GdRP1VY)LF*0SQ
z=jW(bDJH@9GK!IVvtMF%4oEap2IoakK(h<)A|yxWIOWD=U*J2|Qe@6-&mr-p7RKij
zl%s=?9i5tk;(CkUfG9aSH&{|t*1nQb^$)-Zwk-STJ1@%uKx|pO*jx&$&1;p23s{yi
zK?z9{ajrJDnlVusmU0vGUkMu)JVAC#B}9RN3!nT6?LsT*d^(ypzBd%gH9hS;>6mCN_Vp+`eCps
zc_9c!PAH6NQLfb(jxl|_US$FXO_z)-M}TeB{M>}8ELuJ7EejeLTb41@u#{y%<7&|?
zwiq;-4U0)i#)f4kA;E@aW=5!CDYhcW-6>tz)!$f4wCKr`mB58Po&764-A#NsHEqoZ
zvLf(gs*9Bw%8D!l8KKi8xhUpXk*x$mS&`-76Yl!U{UFYD(r~{)2?@R^-8Z_F
z7lV3jWls*mDUB|YW}H=0_>l4^`hW*kPxsLqF;osGvBWo;T^}lTy$6E7i|H*2X39%D
z>!Z%-?+H&Z&13G(3+o~GtrVt}gZSf*cH
z%E_x`Ts7fn0`n4LcV@V@e1=kvwj3h}N?Z11(lw3fGUnYm!5rLI0RMV-k}Wh1D0*rW{C@ZWsMvt0#k3WV%&!t(7w?
zxK@gUNvgXoI?0fTJspETP7Rgi_066!a(yLNU8AU6^C;-@P70^1Ir2MnRi?6vuDD5x
zu8hjAsZm`iKEc;{lA=9ADLC%J^!oY%y06C}vFxPkt`V)iP#QpyF&rZr78Zf^t+4rw-CM^B^|=E35p_ox+c8aGoJBLdni7^_nantS|HoAn(*lqr3lZ~gdanc
zBK%GI$ArHbO87KQ_%}N}>3;VK^Fw3AMNRJcNpk2s#f{c-RxQ_H@#`ezLj62RjpMEY
zDfmz^=K~o0q&V!GX7Vgg*Q>jGXPe71dso(c_=3-|6r}MV0Zj+Teh0s55
zg!xj=z^+i*WdC5z2Ux+Tr#yY<fcpW8@Wcd&
z`6k-Y=T|+^@^TZ`U|D&u$FuP%53VovM3ln7i6{I%2Cn1}A4N4k}YT~h*L{fNLQu^yVN#G2B~H6|(+c_3Er6nVW>>_pwtUiEl{H6-Vki{tJAB$0f$Y3!pKIj?g7b8!vlstr)+8k6yy~wju0=-^}HfE021H
zMg2*M3BKQfa!E&QTi)>4;%2betf@+D(NkG$K!U|K_n2pfC_7b&EorI}8^XYVromJt
zvAVbcOHY+F0*qjh-2eu8ii`k}o0=rIy#4_&iOfA!i41tN
z$et#`l<@?*Br+U)NqqhxPIl|*szzm4VymWxOYC(Nb0qd8
zflv}#1MZT<%HHEz6?L5A6MS!@FpWOn?NX$f4AefMm#d&S2ISx}iVIp|=cq`c516pT
zn)i17F0KMCEEtQ+nuX^y3(ukq+(yHcd*0KF#ZiT(Iptfp%!=~h3~z0t45d#`cmtsG
z6kMrk%3(~HrbJX|ni3JgrzKF}$Rb)pxcNE7ttw@jvW_XJR>`Oj{bL#RnHDOe_dW>P
zgMelgE$8)j4aPtK*kLp8=(tK^njx>JMzkX)EiuOuDXO|T(*g!i4*1wpON^bS1T$({
zxM0?!m?M}u1VRZW9Xp&!Fg4G5Hn<<7_ypfp#Wli{7&i96COcQ
zp5nQo#q&Q6|56Zq5)V*i@uU-MKfhQ!1*fxkiWHpgh^IRJWARj%nHM}o$jx+_Kw
zx#THMg}D*kJw04jV^Q9bRWE|2WYuiCl2y~ut}X7F6rbP&0-rnn$Ftc&Hzc59iz(BU
ztg=-W_CJ?Md1-uE9ktt8HotUm#)!VwJmx5{{u>orqTQjOfi4EAY*e)os#a|%UZ27QSt;H5O
zBeYe0@?B`F8e=5NLti+9)ePt{x_$ocgNH2*`|@RkYlk;i@Q#&rtG;
zn-MOrmMH7Ut17`!@`|6K`Jghi@EvsxxP;c+l(OxQsBC1xjvQjSC)
zYG>K_Cc9oX(4l{gX?6^?zQqDQcGzFnL)Jl{ms-(URd$uXtoO_4e#Q=}rLxR96x~D~
zJP_k8(Glr+ieo!LR`;N6Rh6vrS3*bVu4CE)c(O?1sS+g;Aju-xhme+M_7Qv*$vOJR
zE$LjCNVq92{a
ziz8>v$OK>enX0AKM;U4kv&t%Bb&gpJf5e2ERW}bp>_^<<-PP@L85?LUQoIhxCR)<3Drb-
z`i8fXF;kvugV}BH;HVeBA;kUVL85>
z+`Y(E5$`Ag^%COn%<%T(o)wVPCj>#YpQAHX`<
zQd8EI5t3tGfpRDMfCIOs?!r4-G@Ye9yhaEMdrDx~OZ!H}J+s)iGrG&Hf1JH=y-_^a
zx%1F>Uj8^>@z4q(53L%_GUSeBu3-WZh9W~*5<
zR8BLiRbpr7lfSruD%zWfi>S6ld;5w)vz60aaJFiDHx)XfEKs1n16sg_>S%}-Qp3O)
zdd;73n$v-#Y8Uqq3fwO4neA^E+~uz^y&=oU(Xx`|?Ip&|R?|r7vw33midZ;X%{I&f
zanuH813Mb#AcNBeX3Y**D|x`4zPA4*pK&VEL1{RWow$kgJ
z9+gY+3BG;6I5iHVQ|W3Wp2r8R*1Us|RR2xNljuX$tok<}bos>RS`O!CtHBM0r2D@B
zKN^W%XZi3#%}o>!R{cHnotNqZ2CF_oR{e9}%fFjkqXi;(XmeIe=}j<>EaXvq)A|PX
z?icgciK=#A2%b%gdXHfHC6d%!@ZI;ZjE!n?SiH9i73ThKuqr$twD2DzJr(51M_p|(
zTL1{WQW^ySw5-7^rMIPG;(f~8j?>i*@K?tR2b)xNGPJs@TV1novnguQmm@xht$eih
zj5>McU@!9Li-|k$Q`_VaUM%VDE)X*Bp3>+@KRT@7kTolK8p&9hS;(0!KdR=QIEt!f
z%l`}gV-5f1zEBN6UdkI-lEk*lf^uMzmj_J6y?Xf|YL2ruS=#%AQBLkb3R!$yQjwhO
ztwAdq$*^Jkgb?yN*d)veQuv>fz18qkQfi{Nc!V!L7_UgsTd*-nE8)H?LjQAokZYq@M11{VGQl4>*GUjtK?~b@{
zj%oxH(!qfZ8aVbsz?}kFdPB4Xm|!9Hr0=|10swJKKu9e?AUsgPI~4mnL3%1WQHIH<
zzp;(7rdKUGq~W;^Y7VDW^|Y-c>SQS9r*^sa7?%|0WQs2YK{^=%iQC4%L6H6mh19i*
zH(kWdRb9X{sM){ZcU!7Fb5+YQ=cb*W!4yXk?e+t~YZlW=5^OlT!9hJ$fDG`;#
zXMt=LYJ1BHWJiOpBv;=P8I$}Bu~8xZ8vPABT=fK;NKB7KV3A+Wf7w-DwtXMdia1eH
z-j7TXu>&%ucRzOo!=iImjp7TLF
zZ?+*C&r`i#{dwv#oDTEUS#f;(uXGoE=cxnZSX^!Gtw@*TiQ4ldUkfh}xSEO#4P=}K
zGFJn^H@}pZt;=J>kS>p%e{&jp2Z$$h$!)si3%Vq}x#S^Ta+|+oMD2No{Nb=`y7*L=
z{YaPnj>|SObkUo-=trSN4;*z37xsKbb@Y5ib>e(QHNN>OpQ`iK6+rmrBU?nRFSfU6
zt;;pn<$CIJ_@;a3#ZX-i-&Brqt^Ss)znG~DPSpkP*9Gy-1vlt|_@;tj4>(oBEDgzO
z6{-btoS6r?^c`0@QF@;8JraOi=sfFd^8=>17J*QvIB}jb#hcoApN@J5d0>j)ny(!2
z``UVEi#O)8@fDvTgzw@0l=39{YRPTwyqCpq^OXts1vt}8I6}VA+00TNcOiLZuw!iP
zEU0AAF|DJ3l&7%;5H_|5+1Mhi+R^JH;M{Xw2Yz&9`zKWP7@j>jecF{S+GZ(CT4pIs
z5HcnMG$#ERlXWRKESc5WTchfr{9*$@j15A<#%L)Mx_HM5e6si7jNsy04SIUTL8xF?
z?+&p}BeY5*gpd(>N+a|{7(&nF7a;&*gb*@&5O(hF{YW5WjIu*9%Ie|WD=une&TC{4
zGBP)SOf4*~lavCy`8B_&01TsokWh&@pJm9EpSUIpL@+L&gyOPoQQ@+3-lwkBqWS_Q
zuF4CPxDYZzEf*+vwHYoJg1d#WFiWfTf_&-@;4nrA8KcSz47vNfYmGnzD^G<5p~`dc
zGuLu4OJg%lV?*I;+_t<*W0M_<&6@mT12~KgLKYRm)c)S51VTn;au_oG2Y4S8Z)#+Y
zXk;iPWX@}3J_$wULVl3}97YBqv*rj`)8$LoK7okjsWGWW02w}i|0C=YEg61_W=78a
z$M}XfBg!mPmLO?iz!H>{tG8nh=O;tFFN@j>)uesOLRCI#p}#!&FrtSp-}Tn=tG;!O
z6r&ch4+GI>4)^v;xUHEOzEF8DLl(*&M`EfNLDkSm5r&H$>BJCw$-Y9FEafYdAw6eb
z;UVCny32=vU68M^;jaSGa_&g)bbpum?GLUMa_SIoDLxGxv3nu5wWkznCsY1(HI_{;
zyZV}laxC;g@WOAQ3td6KxEs{b=6Y{H7Qib%XLG`cOAH$GO$U;)tS%TBM{>V3Cr_4b86qp%6)>
z;v(hfm0RQ#_D}taCX0f$;P5R2pQDOAZFhr3N+@+zH5gWGn}D$$)j~o6sw|Y9grf3;
zfF=v2<02)LjzB;OC4>I450e4pf`lS3O!Ut33uNF;SC&||NcnDy7s)-R3b!X|bdfLr
zikbSwM3AaVf(L$SO#IE&NFX~)WB#IWY3xQZM;ekqC}}KMq@*!*WA~~hF>OMgk6MY!#jrUf}ojA>lCnqmziF~G6bwaV~Z4@Da{G*Hh
z8B}zDh+P~miWiZdrzq^jN)$1Rm3RLq!>4`W6VPEbe=DM(EH@s`?Q<_hmp2zsEq*Ss
zK#~_Lfg~?>1k#TFu|V1_4i!j|+1_b>fjnarm@S4bR&yx>7aP*Z#mZJjfdZZ6zoI}3
z6H!iG6BY+aWM4#q24Wxxr1sHwakxYlqnIO+2?Rn(1h{f5xtFR@LIIvEl;5;aek0gyx=Jl^
zgi>mWUno5LTYHH&aPI2h67OCKW|j9w3VSXH>$E
zFVzPAn#eXwls52u^7w3TMNxZ+(uNwqDAb=lgkp|1v>^~m8&Z}if41HV?+EuPicj!i
z9KFbyTHr}#k5#~<_AR~xmeIkBFH{yjc=0)vO7yjn#wzc5<8MykS%u%1C|?C3_6_tj
z3d?OPFqMVForW#9J>>YgarZ+YL4NMrfS0El5FFaHgOI%gg!9&TGw6Fwrkx6Ivzz-f
zct~z;##--LEKX3J>g;K|`xQP2$#=rqkslvi+XsB;d7+B;tBupc^NSUrF;)nZ|B0!X
z`}KNnb;H2>A-a8yu(GXsIBy3G6V(i0QgG!PQ^Er4(4f#Bjk4{?S>2A8*o*1iEbz%rpRrUXU&T@%z-g4YYlJFN
zqmM};^;3<$joh=@TZ}}=QyUeDS={Ek5DILFyDas$d7jzs_o#Qg-w^Y>pIyGd2r+7@
z8sZO^+qPiXHgl<(%9y%TO=aA_G-xVgDuAo0j17TotG0QY31kO~dMaZ$vS~c0(BH7B
zj6onCEf$Yr4tvb|oH0atw|kqLLxKybIg7)HQdAwGe@xYpFsceZ?(L_k+91v=TEy9<
zxtON04e|3*HFCcSLD4MzkI10SlZalX(h4q9qx#~@)TkccJeg2&nVQBZD0@8RtwBZE
zD4h-9`2&ddI}QD67O0Ghl~H+xIE>*4KRXjQXl%xYoe0?Q9DD(?F`|G-QM%`&C0tFIMdjB
zK0>s7aaJSpfkp%&wR&+yc=~2U&L~7M>kGjp
z!9GXwMVw*|1Wh}wag+=3a%;Z=(P9jcpv~X4A5a`kdBEW)&mP~s*SlDBdVo1<;C;vE
zmF3(E6`>0jx*&JHc-Q&?)!tjnhxcJI5}$-A_Iv}PzIZd`0dDjL4qg*>bbU9;n|u2Y
zLv)UNd!WEAe=l*3TmA|{hTF&r5EJl;TgyjtQ787a@P=7T8K%nlFJUyf12xj5=Jp3d
zQ{v@MFMFGs+ldv*+U&zAMZcnd*StU~m0@3OGYAXqeNUj6)BElt5K7UvKA`qXA8b)z
zdDN#ApWr(SHe{J8=9WOV4RIub8d{<`Lx@V@4xP?OxH$jTOHY64xR13
zTc*r&N6VG_y~${@Is3iiMEr8TR7;dvt}G|M=?6>h`Btl%xA*OzA!B
zZ50&*h%5xzVtr)G0OCqFRdMAiCwNOrJq2QY@_Byg$Zhp)Aqxed*{z#zmFBR(}d~Yn5
zKfMj!|4;KiG!OIs@prsQ0{K#(D3TxmlX<_Nc~8+Tj(eXK2f;a7yNy5LZ7zytD@IQ_
z;Vlq*eM}%jRztIebf3nuA3pegs
zcZa-s#@oRhO(2vsW@gJa?|D~=2eNr!x%QO;((^u$UYad)e)pD2Cj7G988aJ=7&mP4
z0(jtXa2w*}VxBsQ3C(*mY$%EGWh686965`&k?|aLdGpUqP
zq>-qfRy9V3pvGq?UP6@8k(cQo>&VO5%KCv;_Irwd=pE=MeA|au-hWRM{%*Eh_AL?q
zk+*%(cLUHb(qF>Qw>VpN{n$H1TxAy26%S_1)gWD5$sY@T3}r!HRRpo%?Eni-pY@h8
z6&id!*Ky5)-rG&N~akz3b-#!@U#d
zyya-Phqy+f;|eua!-e
zqJPYVrxX{W;)rR9zM3nPvG809Y6zPydFL93RCOK?w&c9Nf*QlMqOS+)I7NRQbr|)f
zcZ0kJHmK`99fdf*B42IdQ?M1PTEJS%pHuNJRoYsNOs$>Pf#?0zETH;GLgiyp|{R
z=+7~AEj3CiuSSeZZFN1Su%+gVleNJNhFn2S0hkYSy7dbWV{+-IK8nt*-8W*2s`Vz@
z+Htak*fUO+5V&4-C%URSIZhr7;+lI4*w7lH=!gL3$@DW*Z%GJLz2L2wGSQNUYdvh7
z3@ZI@#msO%Alf+Z{c$pl8p^CV+dUN2HQKFv+>Ytt%sHO3Imd@&ql2!It;+703em%Y
z@rVqIfJkImlzy=ci;kDk*L0|%s4cy9=eQHonyky8zsIah-ZQG8uKarpPCpzk4XTE|
z_j}B(aBpLbd6!n?%BNl#&$5NNsdpE9NgC^(cVpgDJxpp>NyWiqcVkL9It%p1y2H&F
z*>94!1|`V=^#c9$wal;Y#mrL4<3n3!(s*u}MgA{C)p#z=H&Q*SgrJ651$$)8NY($Z
zn4(dFg2i41V;IZe41IA4)$%|f$LYeqJ1%~$+2
z20j+4{Vs?^q+RG2ixdZug}ZFu=#Vj98gsL1QSxf1K!VgKcxTN=Hi`7S@17u@LKXxTZOOC)zmgZ$?=CnH6Wd
zX=J)AC$fblaW))i&+9Rhjbw^!EYktOc%+%;1ChuyKmB5v=1&T-5dBfz#N73CpJ>Pk
z7NSRP*J}Mk``q}jbS~F$RW(UWL?zulx9bGl$yVK*9)qf$%ljReEI6@qfS@Fyp^arBD{L^(`O>exLjk^sH9L6F)}GjCISvwl;SfH
zk18R^M3hPLtLLoSRXj>iu-wb*q#Rgq(KFH1${yDN%ej&u#(9?;;g@5?oOfxG*ogAM
z^%3FkLXrr7H~nJa?-t?vY(zO-CE8VAm&_}&=Xw9CysrN0vJv}v68mD^Gq1~`hp$mC
z-7`T|&U-#k*me5p6JG!PuFrJ87+0o=&tD?G0{?Dd^@$vdX;pc}^PK*!psR_0i8=ngh>@!K1X=gLF+tY-xTYm0-q0Id$aP3{pCF6-
zCSYkA7vPU&h%q?RS{Rb=5wYC
z;~t$eT_IV{nT|<@y4c@1Xo5Ls+R-Osm;w)8>(;@2vk-JA^Ei7WPcJE|ypi)dbMd4APO7M%=Ba{99)3Jm<=$TGPeaH#pTMvT|yDbru+cKk>CyHPBv5E3PWVXRldSVuZLyX9$
zi>m#~kC^_&jhkVQ30F}NW`5qb%J-lg^EKf>aOO_XBp=@@THV)}@?E9My
zakK9aKaA=8n9#AM_;{jN3hM22TKu}N95MRG$L%~iF5czTN2C{|z`iZWJU*+h2ng?Ygvqo%8r
z`UZK(5`^Xn`1p{I{Y>D=KG%^bi@F}t2iCAh=p(gUv1&9lL*AykjvSp-22hY&FKwEm
zk@^KX+2EGApbMxj2m(imUI^^V^N?{_i}hUJt9B_Y{;1jn
zPG$se>4f^OH`M#MLqZR}lcL%D)_vC1Lk&w2^E)_2W^@Bmblh`zX=0j5*ODGKAjQ%%
zqQhIN)#k>E009}*(4vnvaDAY9q=-Iir-(kE1a{~%x(7g-Ir5l^`e-Z9V7;PfxUHN1
z9p+F^;p^d~-x)38w*3~hY=oYAGe!4kgsISNuBK7#ugFQN{X2zKn=_q+%Bt<56JBs#
zC2Ce@u1S6sT>*HSVJ~g$N_OO>^f<4L{dF!m(r1$!N0cE?z>t=uo7J49C~Lg;EpVi-
zBE`4yBv}pUmU%Uz-XyUTi1{HDAFtJ#Gw?@tU!UZ+qiw({*p3Fl7P!zrhFOcGPNB&(Rf
zi!mW)+dh7hr8gG{AE1!HpvDA)T56>S;kjV&ASPRC{T{$`I}@I}S;Yfh^>*Z{2s1k8
zRaZ5I%Wbc@>ftR|zAT`{N}Fox*_O&v@L%P90d?sRWmT}M`I&KD!IbMt_rENR(_4|i
zbv^5^>zr0l0DS~c)dV1V_Et(Gt*k0OiS2dR74#nddP1EyT)nA<@htV?8yJc|qtfJk
z6g5nz4r=X+wyc?wnD9qrAq$nDN4k@=ym*Bzf4(lBqIH!vt}j3)9c+;1>G)&R!FWaL
z-HFV;0|@jy5=~JQF@#=jf#|RaHM4TJaq`n{qu=$>8AOn?-j})??vJK
z=&<}-(L=4jLqFV%u^T$MUh*6BVq+uDtAY49
z92xUZCyO!1H4mmAPo}pn8tKdPBc9e}-*q)mQzpx>`Z2g043j6z);`C%H6PHYhSD&d&ToNTV+_0zes*b3Q^?ZPOtf8JI)VO5o
zWkQWhL(Qv*@x5HlaEwEMdb^=MA=J2J>MKHxOCRbw(;_-s_k$?!3Z-&RmGuj*iB#pC
zDiX%EDVf(GnKVXgkd@0^Wy8E*p!v|#HZ%sF1@%EAp;-{ppFSS-0yU0$s_*2WRY>Eh
zvI=<(B`0|btJksB%>S^h1#Z$P*Z?J8cq#Z2Q?lSv`u3SWsLWth4LtwcVR?VwFKqUS>X!-
zF2+;9n#vP1g4A#
zF%K1Yrdqn*(g>}Pz>sbQAmIgoWtcmlK;PV9nwdKw_9JR7h+fZxs7+Q8)tknMu=Aor
zf~ypw>myuRA(i3Oo)#*hX)7YWz`{C!X`I1CF|ETE37q+v;Czu)IN(D9vc@qSh0B*l
zxh7J~ct&T!bN8!=S=QwsJm(D_#5|_Zk?lB6fwguk6R1D33W}H!sPh5}mlwvmrYgh?
z>P#k3W7kD|j2CsSF=#2Jr?bwi(z^K=SLNh{^@Sl~+^N8`z1q`5+tIVrv)GQnmfI0x
zYDZunmE?MtN@GMNriZF+)cS~Bc=3`E^)-n4G9q0$$tnzK`yq|a1Sv7AkieHd)riBH
z{k)LW3!kRsTBin**JLVU{r_6TkpM3gk&)tRiTR_y)Qg$eU-=){AKI3yDqQ=1Uc$bj
z9<5!a_4)~}imbK>oDoCsH>3OCs_d>-%ZbOEa{9(hS0&YP
zhKx0D&5#M?7c`lnM;hL5K<1l3_9Ygw)NMaQ#-FXTT+N;PDIM?3ftYqUyTv8Vg%(>v6(VZw9P6EuwxjAxv3EQs!?w3Iuh|BmBmo%%=AN%w~%JY
z{PrB6@mokUWPS^w^8B_v$x#;lkR{J=i_MhzZ7~AI^V?*J7WkGV+h@|TsXQlTg=W`1mbyN-E^-#$GJh7rpeA^7rZhn;?1-H2
z-I9Ci<0dAQo4RG0VR|{tu
z0HA@;GJ~s7Z|Jay4kzjPImkBW5%i{P2dV|2})h)k^zd}7K*<;O=3*u1yUxmUZI(K{Cf6LCh}+ZV(VEb(YwyA*c;aS-#0C6fokJh?rXe|V>h{?bm(yAMD1`
zoqoz!w?XD>YgK3a+gdrjdZVknDmq&lTtS=%724q52AR*|RV5bE;0n#A23K0YcP*l|
zvnQp;dAoy{EFR9eG7S#kVpLbu%(rq@!*D^(EP+Vky+FdN=I)zapQy>;NycvCY-wf`
zW45K10WK!T))J`=f4FW1=!4ssm#!bx#=wLXipC~0j1)#J@_8sxzWdxfqa
zr7&Vb(+9+?uz`@0{aeKQl)wtZ@lKGDeCVeOL`e$6M<^+ccTWR7D=dNli^2e!JKz$;
zbaL4eDx5WTfqt>ZE}))f9N?#heM5W_hm>lpTP;D@3A(NF)Qq4)VY)*o^`O@59x
zn;lbh;$c^ux`!Ik!vi%}{2e*wvcJPpdfQ2Wr{f^hL*zN)I;RTH6;H>*KqU&zH4hNL
z=T@4lq^f{CeI
z(EIFRNPsk^S_D7R{dk@@Q-;lxN4mqQ(897udyDlmZ`q_%H`~jKcfQlXfxcimRPt38lw*
z7jvEXWbNetTsO4H$Xl5&U&ZzuT<|iW$2C`X>!6^yIbW4fd*{jP3~7BMtLfR_x~5oH
zML;CR%SMd1B#G34Bo^aCDYD4ds=6g&RObPf4)xkgpu~clnMqoPKJ)7Q(bX)>Q4N_;*T;2-UtH@|rTGD4i{awd6-*%LEi~tI
zlr7$ilG)(?bltUAU%Uo?B0m~#HD3lvipeF>iz)flLws-|19P!FO|m~#t`C?5o85|Z
z&1RQC2dxOehs`cxo{Y6hefg%#vhby>=C@o`@Z|#VG)DKi`C@eINg5elobQEfX6Cai
zL~Lw$N6Z()JA#VmPW(0f;!gZE1VDxtn)Mw~m|fqx?P}xKb-&+S{j8%@LGxhX(0n;9
zGVyQMvpOw4a<}Pn5GF_o-a+Ha(#DoeZEAbQ`f!c%5NQ_nxh--ou9ceJi8#!7%meZ
zF?9RqOJj&G7Fj6F*&LbB7+zjLXOAx;zIoJ33#dtSRh5Ja`n-Y-!>Gy=_;nY8E2nNt^`o;5P6gT|cS~fCaY!#60v4SYV|tEfaav
zBIdjn`*?v&%KPH166Ic`4jB;p3<$(LAHT9dXY|i)K$KHopdvIKzm`=b;KN7|Gm?D^
zu$ZbCIancqf$R^R;^Rij0f<
zR|$84-{?O%ORCPMpjZ6`@#|>Grl7>of@W2V9H*8p6n!sVC`%j^$SUcMR3Xh6>kwpwb9K^-d6#
zN2l5D)@qg^ohGDuSB$&xgl`KfTr=rLLke#z3RLzYIs55^Axm4Nt4zd`SW_S_nd+vY
zO7j&6V%ho`trnq$%3$L`E;C-2(dqf!6-ZV*;yi#3Lr0vvivvc+LoCF|JVa~3AfCFS
zfV-dND1l5cGLPxX1>LEt$YL=sH4($SII7d#c&}$sQoP$zE%0ERR$(t=EGD}`G1-+a
zi{%kT=f!@*;ss%F(<@BZk1{Oa!5=amVtC-1T&9{o95%ruj%UW@)F*&N#$w|Cz@3c+
zxbo2TvOZYUy_A4+`+f<9kt5-S#pFmRntHdGd$pzZn`-Vh)kI8|OCKoe#sL_ea+XjR
zGU3U{Dju+6JctR8+PyfnQAzhDg&%@wM!Ow21rRka=Wb38
z_Hu4^qhnT>Q4wtrZ}9shRPl=}%HREkAVSO%a;MHJ@6N3hu1Q2z9%5bANT`^uRLT8~
z)k)yA7dY(&4!r9=I5_P-6Py8Ah11@^LCkR4>rqwQ=M^p)P1{g3-#zXgYpoJA%LL6b
zL4zliJ~TW2fo5-3(JV7)5VN`vyQ{muREQbQ50TxWV#401KaS09(YP%tIRS{ML_08I;YV%qP_Ec$7IxD0q}PiYjE9GluJ5
z>bTqbhnl{1-EXR&P#RXq>N`}2P8VbM
zWZ@mD6^JU{3miPHa6Au?KXs4Pc!tJ&R?;E;wU_E7g>A-5^^gdTsLkLI1<5fvdtPUo
zP&PC>!BO&bKRK;OBh3?&yvXxN3*B?6w3+vpO5by^{a^|16E@U<(TK+`r2J9^=hBUw=BGb2ZYb5O-p(8mWtKeVGAFPW7xEE
zJF!&u`=l+^H#WO%UHIe3I#@UR@Bae8c#*~Wk0jB`4oN&Gi29P}1bRm!cM)C;2#;4)
zi7#a_Q1nZgOjP}nClgjtU9^SUt#1~NEUM}Wu|ghN5QL>Iweo!e!
zVqmo-;)?1+LxRN`WLd#{Y`5&g`ma$?~WCvA4h;b}uMjObW
zfzZ+^ot*&e*JJKNs)dlMs>}US9)H~Zw(4d`y9jB2L)wK%A6Fv{RhIzO!vax*)Eq;F
zr(9Iv3PXkGiJg4Sc#|QW5g^_6j(ey&Wk`<+=`}-oOh^;@TaT&RhV+<_ay@%(Q9Z1j
zx=L4HlZad)O(H*~)l#@*-IU@i^vW|RP#JFVQHUVO^G(*g*
z@l9mn#A+XbMKW{bDmty38?W##71RCoQa0Vi0$!P6D*~qb2(b{;y+K>gx=ZUR@4FW{
zl8^tM4J>280
zEpne-H5*Ycnn_bku9_2akKZUby23x3J_R^=R&0d}S7~
zfD24Q=?#xYs7Hc(ok=;E*);6W$E^jIlR47!D4
z>6KM1V8>VxGnSSstx0(t1$4!q+zS*E8BdE)JWKkyKU9kho_R(zh*>n>7(nYo0d3AI
zAn;*8hf8Ebbr7L@4U|OyRK?pe
zR%KCBV8mb$GnktzQ@7l4m$eiU7|nG*npFwzTbO(lMS<#>Roq;xXLPUru&gZwMvGt=
z++tc~6$cm|t>(^;89l+Uo=L4U%w55va<)}>S0TRs){=VtQ+F8)`*s+~D1!t?&-6#e
zv@zj@$YD!T!Gp(uR2a^Jtil0T77Jo-G^18ossC9SSyCyauv|X#V>YM4dK>PGmxKHmis>3nDOOM2PpMxGyNgjA&yfMBTSSJh@kku5zxH4wX~q
zne2X96<;l?DvD=PwA;#OflIE=qN>1;+YMp@gVDLo6!$)bOUB|@?N=4feSS>e+z~lU
zwJ}&)87!>?OD}_^dnPP>vWf-#7z<*?(n{}{?jEeDm>PMiSOF+#!jI{_Gu#u@7Y51#
z17(3g*=(R}%mig?R-u3&LqW_sLVRzQd%8l*a+w*p?|R$F*_8M#f-HFc^RnGkK5@5Vc6YoyiGStC81
zV(L__44T(6p=q5}G+@MN5VL&htVwN_-&4_2NMJZmukkk=HaHIpc;=`?180nZLovZw
zVBpNn1ZPoJ;eZjtLCkOv*NykgREQbP=b6y7E97abE*dmv4H}9G&259`MkX|OvWf=60sZ!
zb?#3oW^t}ESY`_ryzax|;R|Xt7R~h`462Lx*+pBoWuNkoM6Y>K9pG^*6L18rqSD7S~KW$jCDfhN17uUSv%BJh>cFPG*
zND3yO?ux2!<)_=Vl$|PTy;7W;9)=)=7t_@P^hgS(Z{mq+Ku5k1ePcu4#!rtFruPQu
zkrYh7VvqYpoa4^)gAF~7M*vzXA1O?a-FQCyND8LkdOPxI>uaH3W9WDL>5&rfV4Mgr
zL3%Kg_W2=%>%!zm!{ol72~rq@Q#U_ggova7y+?07h)NWr+qJAhI%6LmP*vv4r~?vK
z9dbW`4~F}x3w<3#?bZVi!#(o4P-FE%)Sdm*Er?oNR`?8-pGAvM7EhtJs+0~jeR
z@FoV(5`dAyqS;z2&cXuLY&YO+tPBn7c4`!TPB;1yjQ-GbZw7
z>knaZn^~yv_2P89Eew{Na2HlCthDI$tJ}fUZvECtcTZJrz4Xaa>!sg4Y3NJoqSQCp
zWzo>kBTqp7Ze8cJ`z_Vp(6=%4-3@)4Ao_uZ9(jW4AHLvxR;3vFr1iSW2hkNRLylub
z{Kc;_?H-~TJ`KH#<}PAtR)
zk$atZoJVDMtapBgJn&mwTTj~u=8?O?qcVULZ}q0;i*z)woWDzs-`2~HtJ`#0=tVl@
z#pKg3Uv_VEhHYR*)`pO55t5B}BiI{c0CQ2!crR+g?v9r-+yhkQ4KhtBzd@!c6w^Ya
z!3J5<*Vk2wddw%b8iGD}xJU=0NBTLyghye-Gzy26-+;ID@S!h-1R6K+L=0Tz;AyL*
zu6ND7UJWup`WqmKc`2W4fZ$vk0Kr2vtF_)%*i*4wN>s;@4^;^YX*al
z=7xg7{!wyv959IX7(|HS?Pvi(^Y+M#nE_qNDj;G+8zm7lpgj!8xI2)@sCI^+s`9h@
zdzEja=*qKEbVV`EnksD6NwcwMV!kSk*GQwEFBCMiU~{qjWXH(C=|@Vtbzd_27{QvbO4x*1sp>Z5*W-|pOW#OyY4nXW7mBHC
zcQ8QS3I)1y{)DgG${rRViwDCgJx+cnw42a
z13rufF^h%xllKKNW0??&g}pD|87x-}7K%wS_YIbNp;#Vd6$|(<7Q`%>E8iIR3lbR2
zLeA>F@@SIi&2G2l)hho12CdGi75CW>4{x?vWv49z4LCjbXvjYY(W9jF|
zfqv@^1Eu3;X*P%%%RqyrUnrJAS;YcAj0G`cLCo$K#EhkVC>Hj0tT9+t
z8Y~o36W(XA><-0pAgfrwhp`}LEGst~R|gUp%(750|$Z%Y;x1!fEgar2zHN!3^0(_f)*$kl-*6vJt}h1En)Tl0CE_AL#tcJw7tSX6V2F_rz9-|pWS>?jSir&1)t+$o%$ak$R
zY@mT~^z7SKq;nyPmsujaIi4)$!DeEx$m@}BbEFbi^V-eAEg`(p-d2^c1t7rdq@S1H
z>w)DM?$bAaWuj6+7kN9oyTHHBC4Z#i)BpMOu354pQR~niLLTMfD-y-DbM=~m#pz(TgB}YvsK(axiQtIZ5NoK
zv-2Z&$O3|$AFVft^P@FQ7uosIoj|bjqdTe*ya)4Q8Bbs{b?364chzSo2peOe*F1b@jAzo&+^>tE{u8qMm%v3Lw*0E!Ua!uYi?K4&Av`{2sVw|HHAZvUbBY
zFMcK=KP`Sxgm3Yaf-L@hjh8BV%Bf-4yg=V}8iYbZx7+*)GT#eKDa1k+KMBwR?Q1Ob
z20r-fh}?!7ao+5@auv^7rMAhw#sY|G+jL&Ki<4O(WICm&SsRB}Ro^CBtg=ndS>q~z
zWi6Y##<-;O7aDFOt(odaCM;)jVd4D4JG&PxgKXBnUzmcd}i;K`1T;Z!Y_!N7nF
zco$viZPMcNLMF6}&Vy@sNiC1gc-muLfQZ@d(;u6VmpePcEx6N=p^7TD-Sn94etO;z
z^=uG*T|a%y1MJZHJAd}-c%1>{Y&KZ1_2T|jt*>quM`?3YQr$pFDc!i$vCHo@29_lSJ@|S7n{Ll8k;c%G+An2iQCy`ge7jb^nI^mfIjU_vKuO-)y#+OCM-3$7X&<6ioZQ
zpZ0r0>wEd_>E}E(=@qP`6Jd??)*X&II?o|Tlup>|2-nw-;2^y}w#&P4*>>=|aF#{N;l)Y2_g$R20!Xgs-c*^CVJINo{G_bh13~pG2hM5
zR5+_;GW}wePTs*P^_{2pCz>?9AUCB6j*EhJwp9qy03Jm{18Uh0{npE#
zAFRV%XO{Rff+&sR5KG+FOPYBaS{EqGbJ3x<`L(zWuZ8!rZZmU!2maR`GOqlzLr&Jq
zu~WvIh@JlQ8?Sg?RmDttp`9|`RL0?5bPy`8$=#}I@049wg>;pdJtdPX7k5}c5$uvW
zt*>%K1tTG?*V8Nh2&<|tK_c|>8_qv!cBJLge)oOjMnd3*Y^)}C1k83J$MuEPb5XR9e=yccrk@r+L0Q%3=VcIzM7
zDZ>cjz^nP+K}0mFU4>}PsP+TF3_4XP78+AhXHFK4v(lvnprA8axz`^2s+Vu{loI(hOFJ04u(
zc9~Q5kU&_he9(*W1N!ldc-u2bbu)On2%avxg4Uoz45&eVP}YU$ie<8jsf%C&OUBe?
zmo@3R@UaTl45@PflC_81K;VN^JJDq5DdB2Pm#2g)ck&4WVcmCHax&hh?|43>X235y
zmV6fzxXX|x=4_7hfJj|XZ|&-V$G2hlJL->J)Q4(OP2|P@U-_rJJnqYnrgME4osic@
zcYh(graHe%tlz0!GWWVfW`j>TDY!c@_qtA{i2*tTX;SAn;Pq^AmPH=4+S0qF)sDO1
zNzl#S@Z{C)AB08d_T4-VRbqEgBYp-K)QD>l9V6kPl8(z$uk4ma+;q1zV#Lyj={@py
zcS|GgwARFq%D|v5FNN%2GN03EL+^=^ouR-a#WM1-q0KmqDw;TC6R~Shl=?v
za{Ms#8~yYf4ZUw5Ez{dmmrQl8qmF6v7WsbEh2A1RftXIsy8xll5wy6bQ}e=(?zVL9
zqmKFVKJzV9jlMO7RG;0xxtmAIaPNNP>~YLdN@T
z`$tNqfs=Z{2j2ULOC!vxgu{8YmYJ@H|J-|8;=pYc*hx2!1$X68zXbB6wW0
z;D_$9^o;?Y>H391ICgg~SG8^wQhkEQ`2~GFvBc-*AgrKQA_qx5I0vds3nZ30^6@NX
zD1=9Aq=6`p-qS|9UmLwc~6}*;$AYu(?q53(SHu{Jg=^ZxMi|($q4)x
z5x6^z>du{J0R1|MoFt!QlEO-IwJS7^s{U0Gkgmy
zeTc&yJt!nAYhW-X$!uZHo}h1h6$G_tAfA4)2IBXI%vA>M(Y=OyMv?US^IoM!c;=}m
z_R4IrHWgcqE?M%A@3r)xDCantAGV;I@yRP^6pzLYU-_@>m2)D;j`WnWI&c>LTz95C
zJY|Xd+%wwxNZ8Oj2z~a-gYV&zMDG|Ni68nVOA@_=k0f6B_CWj&o=Dcs%J#IzJ&|Zbxt6zG+7l_DL`PJg;+s<84Zh^S0M9
zqc98R)7;<92RdZ(Pk^kxa+fz-_a=gPFVxACp!4~iuUq)422t~7>oNOe451j#c)SM9
z_jt4QT0`DQC5)iNhxjnMj{-%RZ(hbBdSS|9Z5*||s%&{{?G{ld
z>x^-p_w*kXoX@D?`=!4nKtSZ}qW&f`uH7if=k3x|s+ioN`^CgxtmvHKI3YDU#x+WA
zHYvM4zr>@}k^SuTvc9MEYR+qvi_7Kt6}QH}>6X#(z5UWZ5L0W^ugvmPw{q#EIi7M8
zHdHR>J`mb34uhSH62>_A9tROUH9*AN018SlnhS@e;!Awm9T*>q^YcIvtRuLSX#7p=ik
zefWvw!duO!O1E5bR8-p!$ZX{xVw$a-I3TkXT=U_|`wr-&a&~~it>3S1*Hb^DqBLLJ
z=NFszhXZE5xcz{on}6#luI?fe&0In=1!gWNo5vTF!Q;ygluh$RFfijw-7Ai9GGE*c
zJ<}|PKVVSspiCP10|uoI$|*!;4)UZ?W-%oW%D7YYpiCR{9`vzPT6Txj-9K-P?MP*@Mmy0j)@UctK%+hn
z%PvTlCXOF(_Ip^$;p3PmJEWJF0{lj#F!B!u|;=OB42f2Q59TMfggYuutXM
z){RE0uVqa+C{vfH*TNgB#kfzh554dAw5ZLfD;+?z0n#J){kntVW;tcjj|I}%&GM^B
z{|N#mxBlNiMQ#>c^TZ;DKDy0JO_0PB3$SF*ekcSiEPLZHA;^QK7X5&krWPNdvNUN$
zIvgyc@Wy|5Vf7)D==ZWbb4a`_jSjJw1&_8+pgCda`9q@ZR}YD{Yaa4x8~l7umIPr6
zKCJh5kjE&r7TyCiZk9NGzioJF{ns0C#NpTDjvkaP&ig)BPbMDlyck{}49q@;N*11d
z3?{00FErwJ!RYy0;7(89=E)@!kST}6z#{g0Vyv%(2hT!Q9P-aX)=+(dW+B1#E|h}j#1n62%kLo(zh9}0M5te>S&o)&#?P$A|A9@!4ds`>$gDW~?J#xwy@
zhqH(Xj2IDOAS$H}8J`TU8PT;&h}a)f^RO)Rs~r{@QS9Fo(8NG$e3;}Dfb?=!A%Po1
zLQFymt9Dp?GPv#)?XChhCQnNsBc7HdqEXSbWH3ZRwte6salzC=RruosaKYr)%TB|m
zQRMmX9D4IR&@(Q}D>M(DFqG;V-bO7w%pEdp(P1m~K-chGmf8+~DRsfks0ekz4Toh~
zfE>Oqz5cK`V$#mRPrm4|^p&{)NYjEPWL?-1^8+Y+(}MLxErx17#7O<;V)yW+&OazU
z&U**MD{=TD95D;jEwJ|=;O9IdBW}bIZo4Qt;CU%@L=;lsh$sYc!1Ge|h_sQ)NBj-8
zI(P&(*qbO^rUwK%$n!#ssKFxU28)lL_F
zeXGvG4V)v@Y}A2<(8UlE8E#y&;hug3$C^LyoG6BS6KX;uCsKXLzd0g?d&{?;a=ODA
zPlHT1*=ol&a`smlN2JMIgjmQ5-#`&$g>g+*SUrF$Xk#p{*#w_GA`fL_(}d2ICUnKq
zn9g$PUf+Anrr5{vDGQ=S9v>~6?@*vTdgI$W<-)v&APlnM(*d7sxJJFnh9e!{{CYtr
zT!&X=3R(`eK|Up}bDEqI*AvClk^8;Vf`;twxJgUJfxt+|#I;ZJwV6W@ARQB@CpUEt
zQ(%%Y%u^}~w@o{L8?~d2tWm#u3R__*X;$)(bNTd)X3p_yW*WWpP-fCik2BY7P*5+K
zg>I0NMx#Ipy-A1F6`)`e=nETgL0-sIDkR~=_%g1Z5Da5q5A-2m~H-#jg;4DJSpQ4M?;#e%%ZiGKYxXK(e`
zQNd9d?lyWdOffwfu6a~&R6i>A@geF$CcD}m
z?c-kPi|k`6z>$4ilP31@?KEQ_d)|Ye58`E8==c*}s7Xh~7EU;dcbnEY8czDlvqmjD
zDsA)&;3jjp0L9TN37LEyWj?A#elN7Yr*z%6&f;nUuu$6@dsJ*9nu@WB$3f<^iSvnt
z*u?RW8nwqfZ#kcGW>9*Z_cDmdCT?}x33~hkj|-2fw%zm;)Xm1KX6nvSX$!X~bG#QA
z*e-tG&iRsZ9upm8KPEar%)@4(WBA@`u4=mZUEglzBF93de;(Y#A`;{viwG8wetzqi
zw1n)(Qrg(%6;es|I0FMIwpBimT6cq&Ypk=pF-edgYko9g5
zeM^8f^!)PBNJBq7l)h`2T}#b4CNB?FJti*?ZQT+T6Zfxmm;$sd^Au2s=bVc!o;>*n
zk6N9H!}uSS>%VeX^-S)P7QPweukY|6ytM1(0@`UEceNi}%oas4f2Kv|n~UPU&&p%Exu{
z9QI~a;W!@vqZ%9+rPin0@m`e5t?yh;yR&Ku2y{|Vi{sJ*>mS!i=kt`+tCZa`<^v*t
zSW>KP<_No6_p?`U_VV-b?~ziUA1CEj({+1AR@S*M=5ZH5rbjl;;m2jO!%$OVFDcOi
zNYV&E^Qe3;L`x;SVcl~!E50ry+pK`7Rl+#WfL-j~6hmL2~%Y9JzY{WI978`Noxag&>+ivJ|
zoH}ZtvMoh56b)KB|JE|Z~XrK<4pR&YzQ7G#s-nJX73MWK2W%0TYS;zb*q_f3>
z1}E~U7Y%JAKW)s_oUK&*6G5urP8Nm?kJLq*6QYYZObLyGN`Nu|@>VXpTJ(_+sjx1(
zpAcPiC)TWsiS&zgF%h_eb@3oyQ1=*{-)^Orp&U}f7bi^jfEq?eAYy+HzUcLlrP?k(pd|I3fT=+_({=%by63-k*6$<)L@Hu-6)~hNl{?olRi@J
z6g`GGtEw6x@pp=*=fhob=TN{SHBt4XXrl5-(RJaIfnrD#=UEd`3kjeYs*SozZabf9
za8eY}0OgA!y3#LJL|0%lis0i;9~QMc`1`|{V)kq5QxpS5sDzX9t%078*`uNps47y(
z1XSLyhbAMO6)7k8gaIcr>){KK`SdV>Scr%}(M1bF52ZeHR&l0Ma-4T9XlbzI&jqA?
z=4`6I0#dVzD5ev)!gaA<Tm{bF{j0Qbx?nC(SGgZ~M^J$ZNTehu=6J^d=1ChL?MBvC1;HE_ZaE#JSj^Bz+W4ZtQdfzAtjxy5R(80rll6-J!A_@BC6YEeB@u
zccn;y^#0e9Q{1erDSBHGyL4`%XE1bc67I#iO3D%VD3~Q(gYJu@slIWp8nLI4BoaPN
zzqo~;4oH|6V^cy_M5LgwhnPe1VhleF{WU-RHAC<7a-MnIu1zbl#OuD#u>N*RoSP32
z)5%1L8F
zHuh!S4XJOympPFNG}^*f
zK=1q=`#V>h77e6|2I!jI%S%t|p0(|Z>Y$PPQbH}X)STQZKcALf_&sV(>xfK5{^#fOQ5{;w0ty?)1%QZUY%~>Xy5AUl
z+N1Tb>tAA^kS4iUrBgSAEu$`8Byls`;M1X`7=80S-SyFMe9|~Hea?b
zdq#9w^Ni@S;2EDTf#A|}_DNy^HI|CP4Wphy_^dg3Chs?}Uvspe^f+&G;%T0xFCuY?
zCXtmjxj00EK1~*~sWevPd-RJH`5s7u6uAgGA*b{w4KcSgo{i)>gR1Kat?e4tP_7C+
zE?0xj==9&C8tI#@?V8Dh2ET=GV{kR;VOaDaLMa+dJi}kiP41lFNq#+{4Gy`bZ2Tx}
z9)v*0@vW64ddQ6=_9X9+Bznk=Bz8s2f?!C6p}g_H?2Y8~i7_e}^&kxb7ikdR_PSZm
zel~wHkofFpBB2sN4S*hK)?K-Y-Pv)M(&N0pQ<;U5i$u8f;U@MdbsHRgjxj5To>Lb}
zWXEpgS>%uRqGm&;#*|9#Iee5=SZ=fXH14dd0}+#dEP2c167*eEB4?j&m9swIfcpt>
z3Lfxoow0Px>k)1Xq~s9;3toN4owbsueKwk|d6>(0RwfydXJwKRepZG#KxX4RAVmIT
zMZ;e}QOR}27mB4H(g+67FKz?_&dNCFv!VlA*d3w$)QlFk)3Q<+JZU{F>8z#sdorYU
zz5F%%O`LAVRb##5womW#&dQgPdnTyL(V^*noh?MMq_d>6((6V;a_DvW7lMsXY4eDs
zC~X|1@kOqZ$#uqccATW-I4`F7tQKs4jUF4wnFjg9x++AEqa9rd9#pzY*Yj6l|*nQ}l#;m4*=X+2=
zJgAi;=2kxAoRxfe%2>MQRz4NNqGi+P5EA()Mx2vY4$R!j9|W`usNBjApd4=H^g~qq
zfPS%xAE0_PoA$Nx4?Ei(c%14mIEvL+Gx`4XW^CzH-t(+wrFdX
za_^Z>sglS+8h4-fYrMqypf(?x?pIyu^P)O1=8+~E3j=ENrNPFhx)Q`vRF~(xwE01^
z$2wo9!?C`sBou=v}1HzbQN-ltzIjQ4>f$nNJpFYSF$SNl~5
z#%^Y#xAnBk>JLk1FRUNyW)D=K0Srx{#sf2)+xY%+Qd_&Eo;}Wy-7(A*Ei_%;w;QPW
zBEx9kEi|clsCCb1TgPxK2Y5U~6CDNldvQ;`mRPbC_+eeG`81?dB6AKSh0#ahD7gZ(53js|-i)J#b<*dvKg
zlvyW9G}t4F?cW55kp}xv#^^+ib?yar5j6rep^>B41?fdy!3w=7-v|Kl^`c<}O61yI
z-|A_XPPGQwM=Zxrlpg2(flCz?ydTK=tfi+Xg5`EmHtwRb$HY6Tx~@FNu8)22OxV7qmB;ycb>`)|sJ|a-
zfB8t7Z${eBVQTpZn$)77+9Q+#amEfz^bLrd0^++7_72P4@DU)GVY2|k+y(^Y?fZ6@
z*wmGyY_FBNXq5foqZx25ItCc{YSHkbuKb@|aSCxTAeTsx8gW#2lC#*YVfv`ot`++!
zN|ok2oPKfh9gg!af|~F9=%zG8|2Woufz5b@M0;pz>NvZKg>URZF#O(+ns!l_Pqf!q
z%Q;DNd!6R5zjxV1Zm+2glZXy4KR|ojV7FcrtMd&`s=>#W^xX+|Q+g)gyMN}QH0Yls
zi5fJLxIy2OBs6Hen%b+sT~UF_{E2oCD@NB#5dK!Q9+GTV#LSUXh&=j|-jHH9w<<^y
z^#>$ze*pcsNp@R&TGLNoU+7;A(AU4DSKW!OYP}txN0N`e(PaBoYe0bhBccC1K>rbT
zB4RRvJ$76Om5(GJ{hw3p&eqBR{g*<&IY9sAC7pem{Vcw;1X0hql>(
zDO`zOL8cJxoF^11XoNJOSV{dBPdblaWLQS+T}>CZX|erXScP<>zVGb9Qu3$rgQBDqHsbghD2Y~pDeZ09i0UH+yAVi1B}Dd^}H{U>m$k4_n*0F
z3utdC!_!l8g_M%|aG71la*UQ+p9dJ^Gx(#p7{S%|ZEr7BAtp91b;%0*eakUj$fgF!
ze09qOGW}o5)rq??q-|Vf*Hvn5x_+?Qeoj9<*Dj#nTw|AWZWg|{F@B9*`l+>a89eH2
zK|&d`FW0-B?#i}VYhYlfV;52^+*s4?{5t2_5T%0Qr}9oXM}|n%8+&&yV35UN@bAm
zpLY$!mdOaTTV#@U>(WU#!V2o2H^PZuC?llFy1_awLz*m#2yU`e>hko|dEeMiTh12X
zh3n>wJQQ6%q&LZsPStp`J!2;*kdf+=}S9L7)?RiZ%4-)EjWAw_s|Tze49NhQ>K~!$h2*{y^J&I8#|(l`I>zJ
zl<(^(fo89d@38wS6xevDT~loi<+UM0cl#^4n0o_NHMq4R|F4w)=s)te-G%3*pyQc^
zkx4vCPR(Ge@aP_ko}(@2pCZt^!ZW046ak0dGE!mDa$3$DS6E4oD=hdZQwU|ruIqh+
z5BmNVB6qrRGb6RwemtFVmKNHQSEy-*D!3H#6}ys(=9i$tYFv?)_vR6-$?IP6x4c~S
z!N6xRYh2N-((FqLF;&-x#4q1^r~XHs!}R@lTB^QfD=q5uVcENvQyokQ^kT+v?X18Gwjl80#`Mk{^)d|7k++4
zFFkGVRfq|=uZ2`)rox9?Nb06Dc1O#(L4@}8BZO8HBx|lnuNZyKUhh00dH01XhqB>)
zJt#*ZcX0QkJFBjw{(RnUX*qus;_n|((9_6wl?%!{=}jw2FS}^(bN(gy?@3`EBb%p?
z^>^F}YUGzL+3z}YUgdVaI@3JxU|BuZms#GQ%#H$BYY<8F-SdFq)RlnJ
zsss0-sFFT&QX5cE9v%e0jaqTH^i?45G>paGKd?HryRqI*VI*hTZ
z({C@*@w+Ph9xK1A(eJtS(TVK%$RPw}&{f^wC%f<4D-UMN=3Pd?P`Eg}gDL1o89t=o
zcaVGUP+{etMNl85cstUs>2zZ%{aQu84$!ZD_|PkzV82v
zT|wQws#pDvv3tizImM>R_HdcL|_+ofnz58e6
zYH>R#*OA-4Tu1ta4@&Lxo83B4(2sZQV(O2py2oFbtE6>^cuuFFQl^Bb>CTPcVJ3Vf
z9{(c%yS`4i8&O4fyKBGizyJGPUs*}boj}yXQBTjjXHSh`4KLmcZ2fa->sGFhpR5*luk5f?W2!c`+
zj7~$4NWt4j5xh&mlgAL$rXbI81U3cxDL6s_H$Cbe=m!XV<<7+x22<|X`*xqfKA#-Q
zeMtGjPa=5jB7)WwJb4L09SVM;;06Vw(h-cOp!^jCk5h1wf-4l1`vE~^3ff*r(2;_z
z6zrm){S5@2DJXCgLE*s^-lE_S3O>J!U>pU7A0jADL30b;q9p}8BN6PQV66ke1`5VF
z5hPJ?GzWrH6fDk(U>OC2qY!*bL6KYtN>Ff@g1;$vH;*+qo3~pY{G4qgSU^FZya;Rx
z67nG!PC?@W2wtXOLmYxF6x1w=pf&|RQt&GUE`gvr1rl
z3a(NxcvxwKBPmEIi(ohfCCVWvOF^*;2ue|~hk}C?Y^sQ02L;_LA?QOvdpLHyohf+!
z2?Q@vaGZiO6tt^>pc4f@Q*e`lr8N<(tT`BA*C!G5q~K2q9#ZftnJYGs&(y;&vW(tR
zWTePmdOx6mETmUcK=#r5B?WUSU{kk+ezB>$N59zARq~s7^NP**d1kn_vQE-xiG7S+_q#%)kNff-(2thXrGG0dTJq34KBKV7f
z$Tty0Q!sdNJA}h2=--j9DM+W_TM8cUjGzVu1>QkWn1Y|*MR1dXqVFLnNrBUgAQuHS
zyCHanf_J+k=tjZkJrRtfV0kYDYbc26jUaDtYJVTl&;Asgrr-hvTlyf_Nx`BI5PV6&
z_`V1xQt-})2)a`6%tr|7Q{ed+L4FE;rr;(8+xsEdLqW#@2)a-Z{s{sn1q%it7`%kS
zIBEt(DEML+g5?w>e2QQ=1+NcB(1wDFBM?-jpzTNmZ&Prbf-@A%7=>US1<|7sxGC67
z!43-E9)sXr3ieTOn1Tvpsm!Wl5qwR-CJG9ULr|201PVq_P-Q%V8Wdcn;9CklPDC(>
zf-*@6Dp7EXg7XwKnt-4Q1tTXS7)QaADF|v)Fi0a9hG4L_&t&}kn1Z)vAm~WJrkMz~
zQ&4a=f}#|J&q3g%;7~fVn-bU+I#06a1sIS{_<8og`gG%cPOA;D&7UB5zr0@Z@)7L
z=s~)7^jQS-c-DKL0(#!)jXsZn9$(>c2?Bbg;*ISJ7p<4v@!ph+2*?}dO-t7kRO~LL
zukjAMG83=Stg=JkaZ6e{CTCq9!wb13@Lvl5WiU0{pRSKa#(MPbu-JIKm;xF+6Py5A
zOflm!cw)LAgx;+bd`m&{HTIe465+8aYPBhCW#-Z->px4o%%$12mm&L@@NVyQ?>zCv
z*f9}(di3qxvGYWpk^Zy%%T($q3jX>>`G-yU2QrsWS^ru7o&T5e?@*~fQ;-`139bK+
zQhw?0GM7(T|5?6MuL_H`>v;dC`a7xAY!uAB5>$R2N9;!`{9D#`Y3tie+NP}kEPuLA
zi;RtJ5?p-Me-*#aVE~_{SzSGW3D0!GFoA-mS2Lq2ENIFU%#4Pz{u523tJL;vwd|TM
znm^WlB2)AGXZdwdej_TiHU;g1%fFZ-c9p7S%CC{Re9HRI^4|z8zkHU;e}hWJ8m(Sb
zY~E+T#YJ1J76Pjx@AsS}%OdZOa>45&@6U3<3nTA!xxmV3T2$=7Vm$KmpwHty5A`(2
zcTUNjI~)J$%F(g!skK-2wCLDE%5=hrTF<}NxmzcF$rbyAE@H<<1|>YF`ieMI?{9VU
zT(PC}C+=8hNY~2|(EZ!{vjunkqPUa=te5VdWrfhH9zdzL>e!t4uocS&|$pAT`a|B5);&v}V@V3__DgqS;yE7q=+6^Jw*c*#tA$yR#F
zVEJK>cExIy?>jan_?~F9T(PD9*;opMR^h)Q&+kVbCo-vOm{%s|mH(Sa;{Pk-f_}zJ
zR8zzA#Q@+C9Tv_y;D6}wJ;VDQ#{1lVQDKe$ikB=V*=E0}xe|8VX-`*zR0
z-|*?#$iJSA9KIMYd$)JBS+}#v_)s6Gy>&}(?|ybnwj@yX4t*{bAU4(X+G9z0Q7^l&Z#1IXTL2hi<2vcB{L_M7y2m|!s(cVUb*X2rAo
zg^6rMW)t(vj%Lk;G8@R!vTK=7v*VeWY%uF-){qs=$~R@RHQBE&R&rx2)zBX$!?sps
zrDWIEt*jJFwr7-;l2zM_wCWr5qH^`_e|mq4ZNil`I}_OM{2-TOPM)#|W*^SI3=^(b
z=eZuO%$0CMZXlYe1Na}r$>3zLBsK`eG{tSfubUcPaCocDoP?8|pARusG^F#4i*
zguvbz?<`;B8yk5A1VmH2bWvk@6SG9INZtz4jpHm}7L^
zSWSW4YY%o=)*cm$YwJe%g6YeQu3vB1DK_nGA+Gv{HeeI0c2V*p+3Kb`re7klQ{kxhXm0|(aSZw;^hWj?s9Kl>vAvKMHb#u
zMD5hj69yMqUr$<^!aZdBj%rU$XA?W{n!fwJuh?C5o#|;%%AM-8(%*f~0;TlMb@Vr_
z@1cV4-$Z|h`W5^i`QMOjEimTl-?j+IrfYjHZSHTsV~26qr#HH?u6Tyf$B?*H@L{TI0RFW4?(Passn1day65*R};Kox-+1Jo0E-vBuTt{b3)
zKw1!#%e?8|#;hO+!J#0SD-iDq#FZe(CPqUrqehGi0%-XY{_d)4C^~NU;&Gk&C2-K&cNm_>mvRL_r)ozekVnhJcYYoC+bo$53nH
zV7&>}3VnaVZ%7~BG(n`09rMHY<_cMM^`A^w6$(Cra@h};)VnFw-}Aw<3&BSyxq?9^
zaw_XtFZSX0ba>4p^0^;&Tiha9&l)g2Ocl9~_rrwyHM&T}iA=O!lt<`c3j0u~W?
zF9J%0U;x&p0!_5NCd`NgAEM<%ayJGdVL9zSisS`0NAX=t6yFU;K|awYqo9I7UNo#C
zzy$a*8rBQdv+z+2%)zH(AeP9l#qbvSItJFzt~QqMj>f`V+Wk3}_f3QaYG}9B0u>_i
zVt+i8197;-0tUQq0X)44e6$T7SY2PJ}9C#Y-)wYWYWLWpRO
z=VnIZp_+Dv1l|yh2|P{jCP0}GwEAOq2xWZ;jhLATfyA1h$XQ=Zpy%s1!lH?2p|wbP}Jh0s~LU{S?LO
zfm9xRMJg1L!l6`HNZ?E=EGFPTlh>wTCU2bGGu1QwJ~~p!*x@&gICC`^h5li;&xhZP
z)T^gcxz}9&I2lgKG`tl(m5iflFi(j6(jOy@5Y2{vqVwCY%3<^@^*Dbh)E>wHJ-#-J
z7xDNkHIu)aM$Aly5TWu9{y1!gI4-gy9ZVF-zI0XJSxUo`oTzlBC4-Nj#thyT$1-4r
zP%+_;FXdCRqB3DNu~ldC-hU$#Rtx%{-SogLKE(>Mct5?A#o4Z9@g_;n=1O;G!wOPy
zA)7Z)>}<|ypAEHy{LO55lEAmKdDe60@bmG5Ij}%j@ejZYsg#?6qegr<2Ydxq7l0NE
zSO{xIdp#Zc&+cn{ux2jEf^G=F?i5P6o30$3pUhPUO6WA=xAmYGBH@HpM%BR45FD5X
zK>`~UfFEyyD7NcpIDRsZr~Zq1kU{!_a(G8n
zm|Qze?Z7X*@Jx}U_fapT=v-JTbTv+khADjCG;3(8<*J2j3Bco(?r4dwn>rr1b0JTd
z+KjbI%r%Q3K_F}xSEh#h?k@xI{YB~()#=WxB@eWCa}gMX7Y=tsgpL;~dPU@f2>IcO
zKzuPz)zCjp1M52B_gHOqh-eNhhG@!3%wkw5v^|4E`C!6-Eu^thb<%g*A>O|j@`Mln
z9Ds&()L&I6128=jd`W>WpZ7;qKJTRO=R+YO&*rOF{eBFhxD|yg@Wbg!S1wUm4sw-yAS<`-?a1u6mxHD1bDd^
zmQe;iE9T=kbt%t|Z7HA1M+NxnQZ6vRgs03|!Y|^VmGH~`PKkP}e~NG9P=g#^20FAX
zqw&zO479?RtKt9=DS}L$Sf<{!e-Y*3PU@UJR_oLtE?Ul$wR5?8;oTFxe|S0gvn?O#
zaoECN4%$-gO+~4ChknJII~nKQmI6IzW1^JjJgSUG*HFfHhssnLSt|}7DVOnnIn98W
za`j5}!m#%;23GQ?Ky0OYO~*}RVFTyAu%;5cSj|D-sgwL(C2#C|l|0m}Djs-u
z6%+~Yvd~dO&33K|;;14Is`yn=Tn$yihbPH3n#*q2s`+E;TD3Y4^F>N(YIr%f)^OcN
zYWOhzYYo3yX4Ufh%~s2+_~TmMIag|VtzuR{kubAHi#r$5@jQPq_^~6up5iOwc&%}(
zbw{tKEtJ{XAks!cT0FVLTc>poK!w(f*Va+ehw2~@o9n<=1lx+kl>!?{!5*noE7z{Y
zYo)@Bsn5~Y;+*O~MOnub88@#4y-;Sy4>!<&7#;VYO7^jpJia?C)zWU);-W~pD)&v8
z&``kNkh@pGe4$}C=Bl(E%V}B7N8IAoJfY95hC)H#tHnbL$xp|pzWSv-
zJ@y_?KJdHM{F+;^hF5!+0H@X{ML)1st=DV36_pRe2mgULp7dxku)|-Nr&8Iqfh+yh2K6oSdo3Q1pj2jFH%>h`$oj&1KB9Kl!!n`r
zoDyXgDvt|+_#-bn3HoDh0|b#wWrJG!F)cpGrIcn~_xt}Tz0jcM?TTG7z0s&DzTswh*a)dY=$0F^qzMwq2Wu1m#(cF&y`v`G^xwtO
zMRxY4Je3PWGtJ#`T-8jkyK(%NW@shg+X4;(I|R7Z0^PK$-w5<|jUR7>9s>ETe0QuB
zdSw2yPcWWnha7hPejw_~Wj}4J!=bj&IPPhK7Qtr5yLLBQx|QZ1myMi4zDP(Pj*QWX
zH~mQ~-FO@mhlXw;%SQhukkE1aGGyAJOzm;F$01DUwWw!k{Um7~LE(=@I-Tj;xD93O6h)dW_yLkod_
zYllVxCL1^Lv<=#XzsvDZCzRo%3Rz}>-_l3+R{BWhu9hS8LJb@K)=RC#IKHzLHj)-?
z2QPu612ziYHA+}DEc1~!rg!p?=5<0FaUSdhD~uoLf@a#Zbb(dyZ&H$3gHd+y7l?L&
zc*=w5;MVbeiR|sZy~gpT9hwAtkD$KpfB=E$;||~>2WZJqKsS%Mvm4q4c{d*2O7>>;
zfKDLx2nG9kR0Yop#3Ug|!T<&lrNjF3#Ax=2jUj1yZKTQky?tRIDvRAUy2RomUYGU
z&X)GBj7{|4g{CcJ7EcsON>~#`QZ%2kgQjAfY}SOxA`^ITF*lc0EQw!61|yYEnP{On
zs6aA_)t&;$OlsaJmXv4EXt9(^;8w9G0Q%?%^HyBw!+pbG9?4%SWhnXUS|Npsqy#Lp
z+B>bzo*e}p9m4itFgw227{MztXi&*Zw>zyp?aI|XhNo9ZG47PA5vpq>5!sCS|iaCqlWUpF7Y>wLsIUR3l5%@N!q!+UQ#E;kK}esjvYika!aBn
z!1K2_*Zo_PyEYSFO3H5%GjB@~!a^|8ho@4@rrVM^hL<3?(%xq6$Y`~9I;b_896eU0
z{7MJCcteU6Vi6cr4sIvS?D&CjACZJmR{cp>yjYur9@1rXTAO;TExeoDs*e5_FGtlK
z?oZbp?&phlq$p9X$(x?S;Gr2H9@>LOHheHdqO`(YDLjii8zhWuwmO@79oE)%-pWdk
z`w2o%UzfX930Rd3GbmEWT`5Ue$-BXu;n#Pi2yrmCvYgjG8o!
zS=j$%rbaBwtr`_!|#>REl^S^dScy6IWn_N?xCRu4R@zk60+c~;+eRuBEvW#3>ld#NfK
zBTj2#q!ap)(KO9<2@OXegxO2|vGSpmJF@K)%|VbX^&>&&H2%IOi@nFvWp`RyEd4DV
z?QIt44u>@Z_b@QyuuJ2GqdpofuDhTq#pZsE-^hVWn$JL#$uh2?z8QIaT;t_#L^HP3
z)8kP2Rm@#z1)=$yhncBTA^6(WX>*#6{wrq@fkV9>Heo&n?7R4UKo
z&x*lxcKmjRWaFrGtlUVyii{s9ljjiAp)xrgGh4xrW76^PV%b~aBz%t0R#PCy664op
zTxo2%oFJ5%@pCIg2%aA=k>fq9uo+z~{4BOo4itw5wM7m`k-e**`rk?;mg8n%&1Og@
z#gpao0wH^4xol44#L(#i8U5|O?aroxt~R%*39oLUQ#p@}dCKiutsE-EzN9!Zh
zN8*Eah!(^|PE;O~!6Xz^DW?c~am8||=ZUEV9at^LDlbd74z4r;?ZvY48Xm5clcyPr
zU_%dOMd-Uqo)}Ua{;~mNcK(sCg08BPQ%Oou=~vv|FI-15nIw!G3d#7jD%pQ(tB89q
zqmpv5#3=#}mB_vtH$GOba4uEWWH?rNS}MqIP@;hCrTwY&i@1X8b?=P~fw2i+T%kP8nk&aRM
Nw@LKA%Df?`{~tY6vF88)

delta 8356
zcmZWOd05ofwK+5JW1V4O*oGYe*#rg`G%AklvJc{}Y|5yNzzi_BHU^u%FVSEmxyI9)
zRBh6{rin3_X-eBvL*Mt>*Oi~NrOV56pQOTmxW0@thlwC+K
zX9=0fY-V~Q{TW&OjG%xaVcevG1uUC{alzK~aId1BSxKq__GxATgY0cWBA0$RYtvMT
z+9CTGyD(!p+fGK#$TZTrG}6M|gzmXDjnxSj59(uhh~H53YR!AMwE2
zd-#ZJvp>#9JfQadH0mGpaXB{h9enIyhW(P;JTnj2ZcC`!IjfKl!q~gBFT*AG3v=8W
zK6SUwa{`%k;nB}o%dAxQ#Qb!iK`2XHmFUi2xKB*n9~8bN2L~*k!P27FB}QNJbGhJ5
zwTW5w`MbX;JuE2)%ioZLrAuCu16|c|IXF}OGcjQL5)*U2?B{-|_IXKJQvar;9I%)$
z_l(xxo!RiT#OSI_Y~VzI`})#O$=kkcE3nb#T@=4q=3LRphS!HO=PaZ9`U-Mlczu{V
zY1IiixVCyk44A&k=>F~6opRFA9`0V()DG+uTRi)7^9SrshZOK(3kkT>5yp~MCAd@D
z2Ib_#LL*xA5aqtTev81kJKDDcn^+#t@>*k}C>Uq`
zz1i8Ed&vGB<(-PoE@$8~b@m5;IU9Gs-`m7fo$0dC?*Ug4PrGY1{bu(+;P|Z@>33)=
z$Nx$EhHqFy{XFMsylnWOuhGVT2yOf^pP^K#hs(-z!Xi
zN?5*E6zE?2IQE7>EnLFU5LgTo2nMJlU^T!x0&f_gfWT)4C?}8|3e}3J^;gjx3gI{u
z3bQ5Rb&0qV3i-rn2!lcbbzx9SfQ3OdfvaIKhd_i8=5d-4%H+~fd@~x%Ebei=zx|Bv
zkw-G@#A_5wvcsX$PbhpZ02AUMnVsLG$JfHaND@wmlid>-93jA(2v{ZMeT3hTJiHMB
zv2yLD0DOJ6T+6P0KLYC_!B0{y2jJp$9!mWaet331_(>sGFf@XUGXKDbz59d?uX&ez
z5`aBPo+aiV7%(SFUGf>;HOVE|9R*=z+MXz=B=CNe2!kOS8l>8L0oYLEaR#FW>ub?a
zMXdi54OVHu*VsY^;MHjG#Q_r}5b>x<@Z2^2z>jYRyvxY=5JCO*pY4(>yQ8zJ3V5QlXB&d;|mj>d|0!YTiNnpUc
zNuVd{x00zo8J0+<+CUK=$#gE6Dslp^B}2KSHcBcR!eCr84Z?}&m?qSWPJ?=y8B#<+
zG^dC#y_N!1a-l5{^TR3XLukajR0ttfOR8YqpDNs*NQEltXb(D*AQwkd!3Wo+L4?G*
z@MDasOsvpY-O({G?NgOnY6$%t7iz$oPpdu%@TQmkIxo%}d+2jV>w
z1=H|y{A4grWWyY}?AL)9YlL_<{E9B%pt=s@XQH92@F;5jGtS$(Xk|2q&(dbx5oBsSg
ztsh!vgCgmMAneJYfP3hCpx9
zA&%`jVZsmRi1>dx2XaYhXn`n;x&qN_epCQuguGfHDkovC08MknNpWPZXyjvrltSkR
ziEfIc)J2)at$(Os3d!pz+WDM_Pt6n6e{>!c%R(=~tCcWK5)F@nQDV#Sez^zBKKMnb
zPAw!}fR$5d^WT1$R)eq2R;68g6jG#l^+96)b0qC*sH@Qb{Er3F)Y7;hapREfa
zMI!8&T&24E+OLD~jfLtt)#Zt7QXvH6jfG&4RyaK#5qg>w(I-78MEG;>gy8-{Rl?RO
z5?J>;0T1P7hxF#qB8aD$BrJmYQrhDl<&sx;;{vd{u-&`OId3UPNWs6mo!-C~d5giiO;)TqK
z#o`Q2EP_&L+so3n-9_SP{Be=kYnO^dYYQnBUA3WDAO{J^HE-dw#pKT?#gHlyZ%af{
ziJF36c@a_U=zsV=RB`V}+KVNSD_5TuR-(Ct%6;fR1Ez#0s8m>MmEieOsGtb^xm5Jz
z%rX%jdzom>CnWf5nOHElT!hS3E>7cLl#3JocDZ`Ae~d>8s6dWYfDV%?s7G{GK(Mss
zs@y>TJg!Q3*Hk5DN2}B|O0e8~BwWF})zkwLs?~Ef0IfBU
zA+YT9paI
zv7M`fWXj0>I&of<)dDr6tGie~&*t2ka}
zG>Aja-XOC0lLk>aR~kgF5|%=VRI@S|cP^yudH!P9LtB0g`Bx(F!Nx7N9ev)i;Jvj;
zhK&{lvmcHHKeP*4@!Dz%`cNZ;U~41zOJ_IWaIM6~lC#Gf)y#DS{fnEx8;Ja(7L5z+EP6qqUWx~JP%hc3v55|SDbY32qh(JS;xJd3^4s)f1
z-B`F1Qt--hh>>B~<4I@I3en;gtq=iyd<7Is`o3U1I-l%xe(bL=>+N;)dgFoLtq{lD
zypQyM{!^!WU{qabq|I9B~R!%^H;0H?LTm}
z+M-^?{06F;mer6)fjqEUw2aHEVUZMhQj*6)s56$X5l2|_8c_~ETqCX^H`c%c$$H8w
z$-s_%8a)}x?zKYbZ`P_8l0O9F$ruV{-e<MzfQEM-Rq!2iaf`?G^6*1A+diF
zxu?~ExS$C_X<==Xn*U3|cz*%KHSe>4e~s&fCN+3hq@}sdkS(+E2{nsQFrqJAYVlYo
zHH&@C;*;-4vnu$yhvh*tWXeT1J($HUkV-b#TEy4p3oYtFbD!=JXo1_J(V;3Tj^f}3s7L$h`3fj+VEgZ0o$z_LNi-rNAaig@=4!*@EM
zfStb^a;RESuMK0krybfPLo|NrkPLY4imy(uR+(5GJ4xJcg9tx?Owh^u{V5wAd;*h<
zh8`({js8u+vx}9WV0l3itx!u#u``3?nzeCIY)RL7xTaDM;_Vye7Z^A
zE?TTbf+h)eN$?{HMhFy&XPpIsQ{|+GOv>R}e)14CcM26lcL*(c64XktMS{H&{ER@M
z*b`p`Pt}r7hI*_O)R)NmNnaLEp(5-gEf+CSfRVzTVAhC7z@~%ZC5-@=K!8V!!1&0%
z@4-?2R+IGtq`<^T-3w5wqv?yUg2{(_jLok?bPOL2hHmJzwRQJ9TU@p-=f;js8y&(E
zBe!0KO@1c9U?^>KwUzgGZ*X-ux^uhQoSeR882p}-qRbWzfBks6SQ9Hc@n8h*nFmpl
z7-G>x5%FrVhJWXLU93rvcpz>$`qHAAPNcRHO|nG1Xwf7_3eCDw@q(Ybk^ZO9vYFK4
zJ0%+K)&i8)fL
z;g_P(QcWg-o26a{=o2K$mz&U!2ZkYf#8Rfo|A397I;x@@lA9Yvj;QukmO
zJGsvoBQi2*P|0Q6UAEp1evnV#nWdTpPe@gAW%nc*8o6&HNsSsk|NhByYB;EMYT{&A
zV=*Z~b>+T8BW^fO4L@WqI7L+M(adA@;zrH1kp(>(=MEwtzp0@j!1Ff+*WH^MPi`i@
z(C}x9tXrBGsUZyMGnD7D<(4KoL8Kt8*3oY3%-!JVa#CruID2h8{k($qU)LncWic39
z4IU$-*~vpDKN*BbR{vqtG&zota!8iVWozlRwTWu-h&u7#A{}+Ng+1N3g`N9vYvN?K
z?%nVv29KtJymk*7+3?|T4TTlH)R@e|*ifltlg-uA=d^9;5T(p(JU|k9`@224O2N8x
zNFz_3UuvdHErr)bG5q#RO^nxL
zjU;&_`HtqTAW@iogVAj9G1JK3zSgAV%P@trp34!Q&_p0z0r|$TW^1FR{tvUX96{-i
zKywxZjJ%Ysz5R^l?@x>j{YHCPL!{1A+Smf2+PKu#*Wc;N<(@iw9Zp-XYlp|PuqmX;
zAmFJ}+L(D_ZMcWQ+3EOyi&eRTHf43lX>F8ntA8+pwY?lUQgT|GAM`kvXCJ5TC~|E7
z*gLxF9ewH@eeNCI@Q!YIM|ZrV``*#ty`!(Zqi?*U2Z8Fae=wdsTNjTpXS4~LSM($I
z$F-kn&~O~WnWHigYaeJ9jBNW*dl*KH=d^+TBl%<6RXm>i#!7xR5B
z{|K(Wua&*3pGuxM`P9RH+ahQeC=?zK(OLC2#Deo##nv
zkOw`9vab|Nc>>m}qrpg)_+L?xG8sK8*1lbgMn2!=^WJ6ZFK@2&J^q+pX!GshiROjd
z@saPReRTBJR4N$+u2m{I`l7zRj!jhd{A?M_VJC0pYV3kEhdB0BDLMG=de6;eFb^**
zQZmuJfnG@jahAAv4Cb-6yJo)Zc9k-XC?VBKnxw?x=oQ~M>f2mAeL5*|L_S)r#E7e;
z9H+$y-N7YJXNjYGD^-3aOHuiBXG}wLjiRSzmKr5iq9gIb62%x$)ZOk;
za&C!Y@)7EeRVY!!d$LBEE_q||eh0+MaVnnF((5e0BpxbJ_yy~ZRWb27zxh~el}rN9
z)G3MluE>2OF{bAY^q}zV7WyZQFfWPAh+%jC={J>u4LwkNrNh=TC63=8Ihn*Kvh&~i
z^D&8+vhH?4pwyEpwVH6ao8HvN5bBjg-?AQZiVssf#wZo8G7l;d2g(&6!gtpzsnTIm
zH_bbW!`2>9h<>$R$sxe)KjceKbPksk%bi2IEc$w6Bi$4Ec(+yI#t=xt#bt`mq(r~v
zjs5Gndh#VhW-YXAJDnC(Lym6QacFytp}9eclp!+VoeCv#N_uWrC~>|#di^-?k#E|_
x$p+=s?mQ7reWRn3(ytyvB#75!pa(13x>!j2Hd#mK^|4Xqr_<@iRCZm-`9I*`pf>;j

diff --git a/docs/build/html/_modules/spatialpy/core/species.html b/docs/build/html/_modules/spatialpy/core/species.html
index edd18741..38cfe11e 100644
--- a/docs/build/html/_modules/spatialpy/core/species.html
+++ b/docs/build/html/_modules/spatialpy/core/species.html
@@ -121,7 +121,7 @@ 
    Source code for spatialpy.core.species
         :param diffusion_coefficient: Non-constant coefficient of diffusion for Species.
     :type diffusion_coefficient: float
 
-    :param restrict_to: Set the diffusion coefficient to zero for 'species' in all types not in 'listOfTypes'.
+    :param restrict_to: Set the diffusion coefficient to zero for 'species' in all types not in 'listOfTypes'. \
     This effectively restricts the movement of 'species' to the types specified in 'listOfTypes'.
     :type restrict_to: int, str, list of ints or list of strs
     """
@@ -164,7 +164,7 @@ 
    Source code for spatialpy.core.species
             :param diffusion_coefficient: Non-constant coefficient of diffusion for Species.
         :type diffusion_coefficient: float
 
-        :raises SpeciesError: If diffusion_coefficient is negative.
+        :raises SpeciesError: If diffusion_coefficient is negative or not a valid type.
         """
         if not (isinstance(diffusion_coefficient, (Parameter, float, int)) or \
                             type(diffusion_coefficient).__name__ == 'Parameter'):
diff --git a/docs/build/html/classes/spatialpy.core.html b/docs/build/html/classes/spatialpy.core.html
index a42f0c99..cbc65089 100644
--- a/docs/build/html/classes/spatialpy.core.html
+++ b/docs/build/html/classes/spatialpy.core.html
@@ -1948,12 +1948,10 @@ 
    Submodules
      
 
    • name (str) – Name of the Species
      • 
 
    • diffusion_coefficient (float) – Non-constant coefficient of diffusion for Species.
      • 
-
    • restrict_to – Set the diffusion coefficient to zero for ‘species’ in all types not in ‘listOfTypes’.
      • 
+
    • restrict_to (int, str, list of ints or list of strs) – Set the diffusion coefficient to zero for ‘species’ in all types not in ‘listOfTypes’.     This effectively restricts the movement of ‘species’ to the types specified in ‘listOfTypes’.
      • 
 
    
 
 
-
    This effectively restricts the movement of ‘species’ to the types specified in ‘listOfTypes’.
-:type restrict_to: int, str, list of ints or list of strs
    
 
    
 
    
 set_diffusion_coefficient(diffusion_coefficient)[source]
    
@@ -1963,7 +1961,7 @@ 
    Submodules
    diffusion_coefficient (float) – Non-constant coefficient of diffusion for Species.
    
 
 
    Raises
    
-
    SpeciesError – If diffusion_coefficient is negative.
    
+
    SpeciesError – If diffusion_coefficient is negative or not a valid type.
    
 
    
 
    
 
@@ -4389,12 +4387,10 @@ 
    Submodules
      
 
    • name (str) – Name of the Species
      • 
 
    • diffusion_coefficient (float) – Non-constant coefficient of diffusion for Species.
      • 
-
    • restrict_to – Set the diffusion coefficient to zero for ‘species’ in all types not in ‘listOfTypes’.
      • 
+
    • restrict_to (int, str, list of ints or list of strs) – Set the diffusion coefficient to zero for ‘species’ in all types not in ‘listOfTypes’.     This effectively restricts the movement of ‘species’ to the types specified in ‘listOfTypes’.
      • 
 
    
 
 
-
    This effectively restricts the movement of ‘species’ to the types specified in ‘listOfTypes’.
-:type restrict_to: int, str, list of ints or list of strs
    
 
    
 
    
 set_diffusion_coefficient(diffusion_coefficient)[source]
    
@@ -4404,7 +4400,7 @@ 
    Submodules
    diffusion_coefficient (float) – Non-constant coefficient of diffusion for Species.
    
 
 
    Raises
    
-
    SpeciesError – If diffusion_coefficient is negative.
    
+
    SpeciesError – If diffusion_coefficient is negative or not a valid type.
    
 
    
 
    
 

From 5f417171a004d2b739c9e44f7bace06c52ad4b5c Mon Sep 17 00:00:00 2001
From: Bryan Rumsey 
Date: Wed, 2 Mar 2022 12:08:45 -0500
Subject: [PATCH 21/30] Updated docs for stochss export.

---
 spatialpy/stochss/stochss_export.py | 18 +++++++++++-------
 1 file changed, 11 insertions(+), 7 deletions(-)

diff --git a/spatialpy/stochss/stochss_export.py b/spatialpy/stochss/stochss_export.py
index 3bd47f6c..02ecc484 100644
--- a/spatialpy/stochss/stochss_export.py
+++ b/spatialpy/stochss/stochss_export.py
@@ -200,13 +200,17 @@ def export(model, path=None, return_stochss_model=False):
     """
     SpatialPy model to StochSS converter
 
-    Args:
-        spatialpy_model : spatialpy.Model
-            SpatialPy model to be converted to StochSS
-        filename : str
-            Path to the exported stochss model
-        return_stochss_model : bool
-            Whether or not to return the model
+    :param model: SpatialPy model to be converted to StochSS.
+    :type model: spatialpy.core.model.Model
+
+    :param filename: Path to the exported stochss model.
+    :type filename: str
+
+    :param return_stochss_model: Whether or not to return the model.
+    :type return_stochss_model: bool
+
+    :returns: StochSS model dict if return_stochss_model is True else path to StochSS model file.
+    :rtype: dict | str
     """
     _ = model.compile_prep()
     if path is None:

From dd077f1717d85f0e15b503f367fcb825856a8c35 Mon Sep 17 00:00:00 2001
From: Bryan Rumsey 
Date: Wed, 2 Mar 2022 12:11:35 -0500
Subject: [PATCH 22/30] Updated docs html files.

---
 .../classes/spatialpy.stochss.doctree         | Bin 13763 -> 16109 bytes
 docs/build/html/.doctrees/environment.pickle  | Bin 452466 -> 452624 bytes
 .../spatialpy/stochss/stochss_export.html     |  18 +++++++++++-------
 .../build/html/classes/spatialpy.stochss.html |  15 +++++++++------
 docs/build/html/searchindex.js                |   2 +-
 5 files changed, 21 insertions(+), 14 deletions(-)

diff --git a/docs/build/html/.doctrees/classes/spatialpy.stochss.doctree b/docs/build/html/.doctrees/classes/spatialpy.stochss.doctree
index 7bb1d6ca14abe6cb21b84eb0911a4574198d4746..4c7328a903f201e048f78574fcc7d2281c50b83b 100644
GIT binary patch
delta 2514
zcmbuBO>7%Q6o9?Ec5LUDC}|qmvAs4Ctn=fh7z6}0swh&WMlk}z0Z`RC_NKGL#IJZzz=WJ%jSM4QR
zAs*63yk~9VvYyj5Q!QombLxDNWDLz{FtP&AKHld02lh1S`PAM%E=YUWN_4E9c8M+*
z3DS0v-R%u8TYd;ESD4RedD{|;i?-DP0(GINYgx^-KexQFG#87iP45UU7dJOEr3l=y-)0i$>3;6WYa3&sRL0z^TLkWTuRb+@rB$OiIRC$*ALC{L
z=C4wrzct7#@4Kp5F6E6HsoI+THS&58@7)8i#v6qEL*yS4o`w?9M{F}VbTpkd3t5s*
z%TCkFX<1X&=434OY0Z$|E0tAQ)eTjKW=LeSAUE6NO@t2x``LiChp#gS_EoR&UhWbH
zb_aR8CAJzJYojm~B;XqJ|5*dVu0@We_b1%p5SDo_tR~wes|U>+K@1NZ9jtMWNISWo
zXy>Fa%e9uG?9zPzsT<8&?)9taUTNyyhwLm>xBGtSNr;?ZW=Xy*w?y#D)Y;Db!?Qp&jj(I#IBA|@i7`H
zOz!fJ)4yRKTz~Qvm_5Wfe+H)--&YY!wntM2Lm}pPSQ1SORwS}q1**S+4AGljJyo|-=Vl8MNXx-af%zl`xQkM_tQyE
zl5udtzJKYA?;?5*Su5=8o)xy?_ONToo?dhdL||CQ;gXweBm)o``z0xh7v1bhauLW@
J$jcuI{{iQ#6TScd

delta 893
zcmaJ2OlYb!h+7ewX9S8A=+Xtg9H9cucFgM&6z!D4Q&RER(fLt{H&
z7sSYU4jL1TAu(|?bZ}^F8fT52T-2d)YBcK5!MJ$uL!cVta`MjiedoL1J2_wGUR@LC
z#rrRgJQwSIjc0v!Auy54Ch{|hbhdbDHZz?{V@1JjsDFY(Hb_Weu(<+$N1JJiHDa04
z$nJ6nhgIAIXI-b@m=ts#Z_BqBNm@x;(B`xt5zGG+m^I?2-vn6k4!{rTjC1hnOgeQv
zF`Lq(+45-}2wN@P{n
z?a%!-+uqTZ+n~r}Nbu5oNZ14SWN+1Hf`Pr=fUzu$!YJw5U5Y-bL-m`mw2a|EI#*R73_B1+;-+=`aOLAPl(M>Y$r!qCg_#
zG1D;a@{lBKuz!v2^R)c!`gC(`g=C6&`2qQ+v>;tZjkTdQgkr`(vV-FeRtjY+zb3wp9KS=#CsYzwb+M`o)dKNxO841DVnkskuzq43m5k6o
l@^B|NVk={1nU~wFg|FdWQE$OMBAZGaswg-4Myn?$gM6kGrR

diff --git a/docs/build/html/.doctrees/environment.pickle b/docs/build/html/.doctrees/environment.pickle
index de6f572ff061dff403747df761be4cd069e6db2d..d9cc58de4c1187bc04fec60c05e27b04bef8acae 100644
GIT binary patch
delta 8537
zcma(%d3=+{m3g1-&zB@0vTXU5v5jqf$sC3ljC>p4GA7(U1QsA+Te2*3B_U?p{Us1n
zoQ%V?Bn6smyW}Ev)Wq$k5O;UmZ9+nzzYSm|#iUIa0)!*&ZhlD{vTtVe$tL^H@`v8c
zdvD%7Z{{2G#o5G>bBSXY=8(&Ck`jY#ecjewqr*{~dn^M3)`7wSr^Riv^f-5ql2;bR
zlj!s$PepooK=mc*fd^{KFFpR*veerK`;>pyS-ZsU_0JrC+GD@qpY?Aaw_lu@{pUUM
z^xUPvOwyszY+}xeAy4LN$lUz7of0%?}~N
z`O)Op`5WO9Nh$c8j2EU8Q%MF{S=b3)(qSwhR|+2`p+(80t3oD2#{Hz-m`obB6p=MW
z&n{;Hv)2XS4-30}GaIpx+xyvwX|q4ZMl96!gE$%-4s<&<4~#xKnr*-2G0rapvey*l
zaV{ujgJ|;h!jIsR=h;ObiA_CSOPoNw4>{1JokX)XiZ~Z&J>HTmz=_dQwCn&IM0?&Z
z9T$TUlW)*g{*u5%RG#1ia;8B~Ob0?dpH&?ZlxJ#Q5reiBFN%St{$(*Z)9^DsAQ6>%
z;(Q_4^L*1Yf>PIVQcy-rdRp*qK!_)&^+|!z)a%L6$xzSLl|6#jx@r(GhQIFEgE34b
z&ed(Cb3umZ>S{EwrFBlo8rl^42#M8rCMszK%D31rtKW#v32hPGTD(#3cC_WwGMC+?HSniFdw{bM{b5Vuw5WXT<>|f==rSoTZ!Ypc1n=U65bHNv)vHMQ{526
z^V|?Gd;S}<(*jeT9Xpo+>h$bdij&*BZaTp0`S_YX6E2Y3
zy9`vPfiK}ARYyQ$Jk!6QoBjm1d_OmQzx^V0ML-i=qLUF&22&Iwp&5ZW5;h`uH4=&u
zd>RQg2y&yKLFTo7f*PYBhK@wRLVCgU
z-BVPh<6ylG)(Uwa(yvh-y{3aivG!6ZeR-i+OQ!!pN1J0ISWrF+rDYp^l$P%W)3YTI
zEQDO9Q93lr`29fg_V?8Eihs!`p|s!NTVnivB+ZXgmV8QY$BQMjFAk#7w0&_p|rKp=M2?z)|d29kF5W#2eUBXE82+$&}lsc(V=)qLE^D^&T~DU$EG*|
z79+AR0hS?nIRR?K!f@J}19Nb<>u5nD1S73Dk()7;2rF>*P9jgRK8epPNqjbz1SX{2
zNrFZMrOEIR0wTa?$*^9C&ZGBIU;%w31yYgxTnaCduTo$Q&RSFX>|`n|#Mz%xdEF!!
zz>Kr)251zXSB24I#gInJ3=m0g8$g59dxEJY4OR%IrZ65J!Sq2IR^$}Dk_I(`+9s%E
zgsSNJIS_+H#~iL^at^fMEHa%JL`OOg(@W`4FBV$EXi*GCeS~UhVFpAXt0{xC9?alw
zdo!S3INDF01}LDD84yS}W`a&&-E=ww=99)Fs+mGPm8n?0XO>-jVd-3MdGlPw@*%$g
zD*C&*5Q_#(&jsAmG%X9(BG{7!s}OvU1uKQdLo_)FbBV5!hNH8#$M$S!5>7o6M*GdU
z6Q5{?NFI{g*-Y!<9PWH$4pgGRksK&Na3%+qBM6(vb5lN#7tY>!%AS6eI&q0i;6Io>%
z3V8eJDBxxBS^=ySBD`VrDH8@OsSxHPTT3CY{iB7jTG0RGqemEd7b`dNdV0#p*{&FQ
zk>nR~p?iy9C5kv-#0w~OKIe4IhgL-XdOkde;BWJJ)QcDJ{qchZutaDH3#aFEFg8Oc
zwe*_>5F)VZaB47s0kL}O*od3{+?{}6YF-Gkpht$&{%j1mkIpvEPZuf;C3Y5Z4Y#9{)csf&vs8Rm{txxtRBw9~DD2
zBBzUa<)kd;pnWkvDUL4Yjr<}ah0v04-c9Kwc2Q#TXznYRQuI0wcRnN1CzkN)Kehxa
zM4?yG={lGrh>;J1R$y!B-5MX3y!Z1cwNgl|0PAMaO5V7i)<|Dks7Sl=AfyZPTEhAM
zXG%ipbsfZ`W6dSP%@SB9RIZ&RcIX#@^h~9s306*}
z&nmFDG@lBYwUbAeL#eRgAH!+nI;^keQ{gl}5kgRa+QjRl*~Ba9NfT5c@~lZY??-7A
z`ppEAh_`18T~(&A9N{d7%khx7lFVg#%lH|ZS`JmhwikqLd&~LJ_~UZE*DjUw))rC0
zyJ~9%M-C$pYhI^MRiHngR6vG6yde;VN+kuq@FU{Lv40J^uj1YkwC5_JK&(E^t)#|E
zEccOr51kdB@G5StS%7D%pcW(WhbrEabEShM&eiui+>B
z%^Kxs|Ck;v#sWEB3upGA7Ok!rWgYMtrEl`D9#
z_N-7&y<4L8kFS6*vh5uW9W(IjgQ|{O(^#h*q+jyl&Z3KMND=|nWuBRnah5~%$xBSW`4ZnwemyG-paH1lU80ims@$RQdUBxP_srw_bkKh
zdG12=eOrD#`d7*ED(!ab?g4*Uu-@7(!iI}f@hZ~tNIlooY@7PVs4bgqL!4CJA8yk&f}4weg%f*|&iU{g(~Oh2*y?I-Y=`Ec{eE
zbL&9uB^!B*+Pe{Ig~$(>mqzNpVF>K+dG2v_7+u;9QMj=y&6K
zzFi64WnpPS2jq%ue1gp)3bZr`FSYb|6gGj!aRD`~4{^9(){=MkD)$3^Mr_nVv0^!&Tyf!pRx4$&vK*7VM>7
z`r9p79bOu{6}BSSyA=k6c%zzrn}YYikFLj)bAMHnW&aaG)pow5ejBV4OvP&2rJG@*
zmsiMPzP|6J-)w``C~}nzEC}ATK?eezo$Gnj4&B1&74%py)YGyiS*DIAIc&DY4HO2z
zOve5esHDV8U)&CxP>!mH=fc?on}nP-%sVqFycb0Cd%2m5dZ8ORkMx2SyodXs3n!L7
zunPVyET(3fPTLhk{
z=};C1{@Jh7>AP+`p}f@V#!n0{%^QRb2%bP7SdXdcA{~b-%yK%
zp$|N;?eT4o?{|;x8?~RsR~vhaRy^IL?cy!gBtW|W4-4=k0VWWX@@Ji;VYB6AMa;-y
zT7GgLwO|&NM(yTW3I%8qV7mbO1^8zKrF>6(shX{&2o3dF%c;+!^)tSd&7xA+gIX@o
zR1PLe_kdC2kAUr?{3Q(mlYoFl3&F*S1CPKl_Et0RSxASeiRNdaNsZIzPC$Gh^O$y=
z0DS@*v8R2jrEk#L>9+Pdx7d2DcnD8T+&BSSgX1|vWR=BjsTu6s?6x`j3VJP0M&CXL
z!A}cOMw7%|Kc1|R5_u;c*3o@SAWje?Oi~;Yrz<4(o%2B7+FMu-dfJp8LK4m
zSTdZ*K5UYO;HYv*Cr10qB|VBcS|zbd(PWjBgW!6V-vRsti3?&T4AMhmpr0^RO9d=`
zeJiC{5tQ&+tE1QIcI__j=@GhzqsjOIZ3558aHK-6-sQHsZ0sPPqVKMhQhXs*$aQ@)
zWN2f)O&HoF4g3BnbV>{~Ii(~K)
zomd*3PM4LXpHI+|~Cd-`s2I}hHJl0>%dT=OS}9?JxA?H<;Wu_G}Oh7~@S;*H$cD4}Gl)!jMZ
zv~ITXQf4(CDhRH@K3}fVX>%52qNmQ!rMW^&=~Z3~zxrHC5F0}y7P)P`R{X1%ZzV0d
zE+xcqZ5rz?r^Ds$Y{NgMY-?*n$rEX}q}RiFVGa!IN!juEiNAa$r5A}X#gP7wbiUB&
zC|&{C#xUmw=!O3G=LIkXre8;m^B{EM`P_hao$^R6xQKzBb0k;OueypT&w?PMftl;&eb9_hxWdM=USIPE?)_C<=d!
z$+J&kQ{<_&f9xMk`$vEDkN)f*UGtA__(!+=qr3jmU;U#m{iCn_qi@2L;oxvGd8#>i
zBH`Tt2YW?5FcpyPEC1wo1L7ynO$A&PSKwhiwQR(T9DB?1<$@t%Gk9e5t5-Fwv|75Y
zE*{vv!QM`%!`A0!eUKG;E)D3I)&vzOO~j5DufdIsQ=+?dk^^>C-K8J_2U{
z;UIi^bGU_A<{ZUKV31EX#rq!{?=^E{5Ey7#wH!DjG5Ddj!A(p(`jRcO7FE3qPXVkU
zN1tdZxKF&)*eb`05XIA5wQ}sN^xUkKlY&_E2I{o1+KQuN*HZ
zh}C4656jy%Ux*txO$~Z_d{WMqwr5VZ@}8{{q7o+SUL7

delta 8533
zcmZuXd0dp&wK+5JvCRxS%&-oN3L-GLprVM#COe36XH!OHgqdL&+|n3)&3lOkE9oVk
zHk&qic{Q8COjFvIYUt}4O^o*Us{%>Xq{-8$acTRSU(#ycx%bXD;Op~`IrpA(?%D6T
z_q#ZFHvZ3N;)lprR7Hs
zg#Q!WQ=F#LmQ83Lc%Y(q?6E6f$9-zGjrnHlewSk#_szPi@7ON*X7=9?+s^xDj=7()
z?@wP8z$G0V%3#Z9B{O$cI!nzgU@v8w*{?EESj@~M8b`9L(+zA-Mmc+K#t!yxvocub
zEHjJB$Yfh)MY1Pm>e!>1DQxb{Quep$(^+9gLeQYFNR@gqYe`^hYp1=_-P+0=S(!rY
zuQSX-&BGZLLaeIh{}VrV=4#fEsZ+&k2W{i*+^pvUxNBU=53(~^Uv?V%W%dS`U`aV&
z!We6@q_U!dbhaY56~<|n!!GAO%!2X~S=%y&^;`C_W=kTg-kir)=RLE82fK%G`D8n}4vCPf|W>^#Man32^g9!G{+z(;G
z^UOSthEF|h3!Fekom==hYn_wsnJAb6Gze$OYmz;Ai}#C(=e@!=<=|kEcd(-PRf#c_
zyet=-sy4Br{ehk@N}raLq4L+|V8!xRUUN(iF0UOC17@g-^!#G|ZaL}fi1KV`?f~|QHIaSX@*ca{DFwXWN&;?n
zMlkc5Bu{$#fSkNv7>Pv&i1pmqxJ_U@ogF)YjkYAR+_pFtwrUP#?qxQ-Q3^3`sRWut
zczU-!BnEHVh?^t!Z<7cX+kFnsd%o!YRwMA=I5m*SlU}VA8Lti#>8|z{xvuuJoo6Oj
z2^CYbD;CbPK37&2=N`0uOSz|#v&k9wO`ZKVP|nVKPP>|Ux-;EY`aS3_=BanDrQfW+
zyBxoLGyM*3=lDN}->4n!Fy`65V=<6U&(1|OxwZ3#1I9fcT{TXF3+&cTGe#TWD>#q(
zP^d9+{riOJj|HK;ZQ-$S3ew7?cyp3WsV%
z)caAighLb#hQnNmcvT`UhC?1PhDAUjfw~ANCBPz}n!u$9m`5Nw5*Bb;B$Uaeqxgmq
zEG*#>L!j-H{(%QFY{VNWmSjaiWq?rlZV)CVKngp%*MP4?K_p2y8AW!Fp)Oj0b|i-7=1`7j8VZtzm-zZ-yO3LroVxrpJ>WR&Gm
zKlaXd^?2F0{@8DVBqAO*37%^v5u5xtm`_N194sdAY8;fy
zg(29O3DnB=M`KPr1Q0DhUYOAz56fxxZoEjaF+t4Q6U1yd0g8xrI{|746ehxh1egS0
zB*Ho=dKTVGf;sq|BuFOmvq_>vzD|PGG;2&2vt!9Hmu7!T7IhP6h6b8#GeeE^yfhdO
z=R*oEHA5KQGJ}Dr_asw&3M`jQwZS4hlIepKs>m_CoC4*N+9auL5OugN6{3jfNEK>E
zQ=y(_VQHcuTGB+AUP*&0xzHMnc~KPgL5#%QbOFcUQC<}#<47zCzt&^7~>-$kqy734;oU}Vd5-xJHI2v9?Ag&K08Y!
z@%St?lE0Zk%*}=uyETUi~7f?U#fmMWo}RP_w#yb#B-wdF=$<@SK_brO
zi2_QVEjS&sp^=ckoDB;J{C&2Fdj1@-KfX5y7Dz3@A$Ts6V$**t67SA|K#A3dpxF#&
z!Wz-Bfj0fw+u8tZmE#2(Lwhi5#mdkZu;h
zVySY?6tVq3^TX368bg43DkUz0GAXNNiZ_h&ebc6;*0xB^W_t)8ul0IMbp7NWxxNSr
zrK&C1$bD{D3~3T!!;~u3-B*4dg0C-D*2WX*-3!>fxSOj_aedPL|{DWX?;PKc=Q
zza5GP3RMZ)r$}J-w}bA>%`WN9p(T(=F-cki1yb50I9LSH_#extx73{ooU)ULmO!Dj
z;a@{AY%SGS-H8y)j)y=Jpf3{jQCB1?>4_p(M#wWo>Ulqe;p8_L$U@(lDs<&imE~!{
za;TUNiOY#X=EPEQh9(z7skH4yY1^J+aWpBdU9r&h>opHwB}Zx~A*8Y*@5X`o|
zYrtW%xIXAAg*7#m>OuOIDDD|J@46<`w>Ks#Ma&bbgm=wVVs^MnU8Csa<|E+>-m0b^
zkW{Unt3lXM0~rF#P9D->;xwW6JJsrL3)RWqp)QV}-eIE^}S
zEJ&8o8Zb$8{8V{_4#dz}aUV#oRnO{_DJ-o2tRFVif*)&mI&g9)zgjB_`(~|h)lw%M
z@2P_lX`Ka~4ODC&)IkbmnjW1TbpIrXpxTn;DYYHUC@S?*HX|2n;;b1njla*y9tMDB{rU%eXU8&T&E5%
zS4uU}ea?<{_hkKXMO~9*+_Dl3QkVnZSx*gObUb)6*l(;9{@qxqrgoUrN}6g{vVAFFpuyG7NjY=`^nrEpEvw5zt3g!7@qTufxLyWT*3^Ktq|!
z<#74pf#0qY$J~O|BHIs1aB?+I`k^&yzMd7O$dW%+(76U;q!ov;e>G&X^_TSbh5iL^
z=sELOYsBq8c&*x^j$&RTRZZ(!$fZCYTq|0}hihSp6nR{dFN9KOEL|s#u$FbA9DcA)
zTtTj`gGG|{gilf!JMyV-OEh~k?2S$zq%co(ImIW3SSv+)Tv
zi*SfUf4bD-k#K4j`&+~(-}5c1;45C1yDg9@7hUsWmbOAV*Ag~>r1a?VqtsQ!3wqYaCCpNyf5nKd{Hi_9A
zo4}=rx1R`nyA$%+*;}E9sulIxFphgWpj|Q;@k@tfzz;6^>kVp^iPiCw!~<4{4iLyB
zy}aL_u+qUNFew<;BW1ABzbJTSsS=`-7ZgEGpGpqHlbflRj^l4PQ+14E%of-}V9yrl
zmEtXW{5Fa1fgfHov9o{Gv&DZ4M7>QcsoDx_B~!j0+oC6#@ZxeM*xUEV@$ObwMIu*r
zLOX$4j;@CU%+iCwcM%!K#O<(1GQ6bcn>?N~Bu&Qo$adP|qnD9#I)#d`o3vcOWC2DBcY{SE9s!$i0h
zE`b1#7J>64`@aK+`CHA*XCMv6M(Un{T0KplJqjj2?lHC;1!Ei^@t1mQyS>lZ>b7<}
zH+Obf=@1?pxqcM31egRvSZTYvy}Zx9$=&I&=XAF_IeptO1bknLvJ`3f>&FwzH1VPn
z4@BeM1rRHVp+%ZlB3@di;omu5FViGRJP@}WeOaWLPNen{O^QT3Tck;j5t{X-j_&qO
zd(LM1qeJUfQj2ewXt-MwC7MLhZU>@E@phXwN|BMkn@fZ`OQ}XamJG!651T|OIJ{UB
zEk}EcHAWKie5rm+f?0U7h?OAH!2CG)dl&s^m)hBpI5xZzJX=je&pv
zhq-q>&vzWD1Z$h+*~b$EM10w3I`#tZr+o%i1og$t&vEe~Wa~-4OQJ
zZwNaN+|VS*Y~8-K2J+fH5Xpw0j?z$A;Y*FlB8&}}O14hV!-du1*OuC4San;J|71s6+t4jpd-q+pgbadL?
zybtn1ueq(|&BAg=%fD%>?`UP~>7xwy95aqQc1L@9Ux0>vCI_zdUZ6t59LcHinlx?+G$^*Mm9Sy{=Q__7;SN-9x8tCeYz
zl7OQZ{S&AkbMf>^q$CjeaJ3RAu849xEl%jxl{lRx4*Pa0V=FaCft!X6TVRG1l}C5M
zX=tfY479AMMv0f`7(BOJi3}>XcX*Y2uv{_u33W#*lvv_DUZYHxyzzLa6B6Y(9gl12
z)sLn4Suwhk|?C=#MMHJTsRO$8P;2
zU@8L}ysP+2ha1Y21b#2%WD=ju&fW{;V-hcA-RcIO5Ym$_wVH6)PH*Mo2=z*`e_0PX
z#fNELW0VSanHQCe{pE@u;qCQGx^$S-rTRt**wzCI(J$32*#x-#hy3a3&Eb|}xpPRD
zK!2}nr28Kq?`aUm5HRD?GR1FFV!(q1`#AB*
zkCj-wOh0Kp9KZh9+q)
nr0tU83^Z2XeQc=j;h_OV9uo3u);nNkr#Gf3?xDWEjXD1dunOC~

diff --git a/docs/build/html/_modules/spatialpy/stochss/stochss_export.html b/docs/build/html/_modules/spatialpy/stochss/stochss_export.html
index 01aa00a1..03309955 100644
--- a/docs/build/html/_modules/spatialpy/stochss/stochss_export.html
+++ b/docs/build/html/_modules/spatialpy/stochss/stochss_export.html
@@ -293,13 +293,17 @@ 
    Source code for spatialpy.stochss.stochss_export
    
     """
     SpatialPy model to StochSS converter
 
-    Args:
-        spatialpy_model : spatialpy.Model
-            SpatialPy model to be converted to StochSS
-        filename : str
-            Path to the exported stochss model
-        return_stochss_model : bool
-            Whether or not to return the model
+    :param model: SpatialPy model to be converted to StochSS.
+    :type model: spatialpy.core.model.Model
+
+    :param filename: Path to the exported stochss model.
+    :type filename: str
+
+    :param return_stochss_model: Whether or not to return the model.
+    :type return_stochss_model: bool
+
+    :returns: StochSS model dict if return_stochss_model is True else path to StochSS model file.
+    :rtype: dict | str
     """
     _ = model.compile_prep()
     if path is None:
diff --git a/docs/build/html/classes/spatialpy.stochss.html b/docs/build/html/classes/spatialpy.stochss.html
index 4026adfb..87f7ecc8 100644
--- a/docs/build/html/classes/spatialpy.stochss.html
+++ b/docs/build/html/classes/spatialpy.stochss.html
@@ -128,14 +128,17 @@ 
    Submodules
 
    Parameters
    
 
    
 
    
+
    Returns
    
+
    StochSS model dict if return_stochss_model is True else path to StochSS model file.
    
+
    
+
    Return type
    
+
    dict | str
    
+
    
 
 
 
diff --git a/docs/build/html/searchindex.js b/docs/build/html/searchindex.js
index 8c96f62d..c7334be8 100644
--- a/docs/build/html/searchindex.js
+++ b/docs/build/html/searchindex.js
@@ -1 +1 @@
-Search.setIndex({docnames:["classes/spatialpy","classes/spatialpy.core","classes/spatialpy.solvers","classes/spatialpy.stochss","index"],envversion:{"sphinx.domains.c":2,"sphinx.domains.changeset":1,"sphinx.domains.citation":1,"sphinx.domains.cpp":4,"sphinx.domains.index":1,"sphinx.domains.javascript":2,"sphinx.domains.math":2,"sphinx.domains.python":3,"sphinx.domains.rst":2,"sphinx.domains.std":2,"sphinx.ext.todo":2,"sphinx.ext.viewcode":1,sphinx:56},filenames:["classes/spatialpy.rst","classes/spatialpy.core.rst","classes/spatialpy.solvers.rst","classes/spatialpy.stochss.rst","index.rst"],objects:{"":[[0,0,0,"-","spatialpy"]],"spatialpy.core":[[1,1,1,"","BoundaryCondition"],[1,3,1,"","BoundaryConditionError"],[1,1,1,"","DataFunction"],[1,3,1,"","DataFunctionError"],[1,1,1,"","Domain"],[1,3,1,"","DomainError"],[1,1,1,"","Geometry"],[1,1,1,"","GeometryAll"],[1,3,1,"","GeometryError"],[1,1,1,"","GeometryExterior"],[1,1,1,"","GeometryInterior"],[1,1,1,"","InitialCondition"],[1,3,1,"","InitialConditionError"],[1,1,1,"","KDTree"],[1,1,1,"","Model"],[1,3,1,"","ModelError"],[1,1,1,"","OrderedDict"],[1,1,1,"","Parameter"],[1,3,1,"","ParameterError"],[1,1,1,"","PlaceInitialCondition"],[1,1,1,"","Reaction"],[1,3,1,"","ReactionError"],[1,1,1,"","Result"],[1,3,1,"","ResultError"],[1,1,1,"","ScatterInitialCondition"],[1,3,1,"","SimulationError"],[1,3,1,"","SimulationTimeout"],[1,1,1,"","Species"],[1,3,1,"","SpeciesError"],[1,1,1,"","UniformInitialCondition"],[1,1,1,"","VTKReader"],[1,3,1,"","VTKReaderError"],[1,3,1,"","VTKReaderIOError"],[1,0,0,"-","boundarycondition"],[1,0,0,"-","cleanup"],[1,6,1,"","cleanup_build_files"],[1,6,1,"","cleanup_core_files"],[1,6,1,"","cleanup_result_files"],[1,6,1,"","cleanup_tempfiles"],[1,1,1,"","combinations"],[1,0,0,"-","datafunction"],[1,0,0,"-","domain"],[1,0,0,"-","geometry"],[1,6,1,"","init_notebook_mode"],[1,0,0,"-","initialcondition"],[1,6,1,"","iplot"],[1,0,0,"-","model"],[1,0,0,"-","parameter"],[1,0,0,"-","reaction"],[1,0,0,"-","result"],[1,0,0,"-","spatialpyerror"],[1,0,0,"-","species"],[1,0,0,"-","vtkreader"]],"spatialpy.core.BoundaryCondition":[[1,2,1,"","expression"]],"spatialpy.core.DataFunction":[[1,2,1,"","map"]],"spatialpy.core.Domain":[[1,2,1,"","add_point"],[1,2,1,"","calculate_vol"],[1,2,1,"","closest_vertex"],[1,2,1,"","compile_prep"],[1,2,1,"","coordinates"],[1,2,1,"","create_2D_domain"],[1,2,1,"","create_3D_domain"],[1,2,1,"","distance_between_2_vertices"],[1,2,1,"","fill_with_particles"],[1,2,1,"","find_boundary_points"],[1,2,1,"","find_h"],[1,2,1,"","get_bounding_box"],[1,2,1,"","get_domain_size"],[1,2,1,"","get_num_voxels"],[1,2,1,"","get_type_def"],[1,2,1,"","get_vol"],[1,2,1,"","import_meshio_object"],[1,2,1,"","plot_types"],[1,2,1,"","read_msh_file"],[1,2,1,"","read_stochss_domain"],[1,2,1,"","read_stochss_subdomain_file"],[1,2,1,"","read_xml_mesh"],[1,2,1,"","set_properties"]],"spatialpy.core.Geometry":[[1,2,1,"","inside"]],"spatialpy.core.GeometryAll":[[1,2,1,"","inside"]],"spatialpy.core.GeometryExterior":[[1,2,1,"","inside"]],"spatialpy.core.GeometryInterior":[[1,2,1,"","inside"]],"spatialpy.core.InitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.KDTree":[[1,2,1,"","count_neighbors"],[1,4,1,"","data"],[1,1,1,"","innernode"],[1,1,1,"","leafnode"],[1,4,1,"","leafsize"],[1,4,1,"","m"],[1,4,1,"","maxes"],[1,4,1,"","mins"],[1,4,1,"","n"],[1,1,1,"","node"],[1,2,1,"","query"],[1,2,1,"","query_ball_point"],[1,2,1,"","query_ball_tree"],[1,2,1,"","query_pairs"],[1,4,1,"","size"],[1,2,1,"","sparse_distance_matrix"],[1,5,1,"","tree"]],"spatialpy.core.KDTree.innernode":[[1,5,1,"","children"],[1,5,1,"","split"],[1,5,1,"","split_dim"]],"spatialpy.core.KDTree.leafnode":[[1,5,1,"","children"],[1,5,1,"","idx"]],"spatialpy.core.Model":[[1,2,1,"","add_boundary_condition"],[1,2,1,"","add_data_function"],[1,2,1,"","add_domain"],[1,2,1,"","add_initial_condition"],[1,2,1,"","add_parameter"],[1,2,1,"","add_reaction"],[1,2,1,"","add_species"],[1,2,1,"","compile_prep"],[1,2,1,"","delete_all_parameters"],[1,2,1,"","delete_all_reactions"],[1,2,1,"","delete_all_species"],[1,2,1,"","delete_parameter"],[1,2,1,"","delete_reaction"],[1,2,1,"","delete_species"],[1,2,1,"","get_all_parameters"],[1,2,1,"","get_all_reactions"],[1,2,1,"","get_all_species"],[1,2,1,"","get_num_reactions"],[1,2,1,"","get_num_species"],[1,2,1,"","get_parameter"],[1,2,1,"","get_reaction"],[1,2,1,"","get_species"],[1,4,1,"","reserved_names"],[1,2,1,"","run"],[1,2,1,"","sanitized_data_function_names"],[1,2,1,"","sanitized_parameter_names"],[1,2,1,"","sanitized_species_names"],[1,2,1,"","set_timesteps"],[1,4,1,"","special_characters"],[1,2,1,"","timespan"],[1,2,1,"","update_namespace"]],"spatialpy.core.OrderedDict":[[1,2,1,"","clear"],[1,2,1,"","copy"],[1,2,1,"","fromkeys"],[1,2,1,"","items"],[1,2,1,"","keys"],[1,2,1,"","move_to_end"],[1,2,1,"","pop"],[1,2,1,"","popitem"],[1,2,1,"","setdefault"],[1,2,1,"","update"],[1,2,1,"","values"]],"spatialpy.core.PlaceInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.Reaction":[[1,2,1,"","add_product"],[1,2,1,"","add_reactant"],[1,2,1,"","annotate"],[1,2,1,"","initialize"]],"spatialpy.core.Result":[[1,2,1,"","export_to_csv"],[1,2,1,"","get_property"],[1,2,1,"","get_species"],[1,2,1,"","get_timespan"],[1,2,1,"","plot_property"],[1,2,1,"","plot_species"],[1,2,1,"","read_step"]],"spatialpy.core.ScatterInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.Species":[[1,2,1,"","set_diffusion_coefficient"]],"spatialpy.core.UniformInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.VTKReader":[[1,2,1,"","get_array_name"],[1,2,1,"","get_arrays"],[1,2,1,"","get_num_points"],[1,2,1,"","get_points"],[1,2,1,"","read_file"],[1,2,1,"","set_filename"]],"spatialpy.core.boundarycondition":[[1,1,1,"","BoundaryCondition"]],"spatialpy.core.boundarycondition.BoundaryCondition":[[1,2,1,"","expression"]],"spatialpy.core.cleanup":[[1,6,1,"","cleanup_build_files"],[1,6,1,"","cleanup_core_files"],[1,6,1,"","cleanup_result_files"],[1,6,1,"","cleanup_tempfiles"]],"spatialpy.core.datafunction":[[1,1,1,"","DataFunction"]],"spatialpy.core.datafunction.DataFunction":[[1,2,1,"","map"]],"spatialpy.core.domain":[[1,1,1,"","Domain"]],"spatialpy.core.domain.Domain":[[1,2,1,"","add_point"],[1,2,1,"","calculate_vol"],[1,2,1,"","closest_vertex"],[1,2,1,"","compile_prep"],[1,2,1,"","coordinates"],[1,2,1,"","create_2D_domain"],[1,2,1,"","create_3D_domain"],[1,2,1,"","distance_between_2_vertices"],[1,2,1,"","fill_with_particles"],[1,2,1,"","find_boundary_points"],[1,2,1,"","find_h"],[1,2,1,"","get_bounding_box"],[1,2,1,"","get_domain_size"],[1,2,1,"","get_num_voxels"],[1,2,1,"","get_type_def"],[1,2,1,"","get_vol"],[1,2,1,"","import_meshio_object"],[1,2,1,"","plot_types"],[1,2,1,"","read_msh_file"],[1,2,1,"","read_stochss_domain"],[1,2,1,"","read_stochss_subdomain_file"],[1,2,1,"","read_xml_mesh"],[1,2,1,"","set_properties"]],"spatialpy.core.geometry":[[1,1,1,"","Geometry"],[1,1,1,"","GeometryAll"],[1,1,1,"","GeometryExterior"],[1,1,1,"","GeometryInterior"]],"spatialpy.core.geometry.Geometry":[[1,2,1,"","inside"]],"spatialpy.core.geometry.GeometryAll":[[1,2,1,"","inside"]],"spatialpy.core.geometry.GeometryExterior":[[1,2,1,"","inside"]],"spatialpy.core.geometry.GeometryInterior":[[1,2,1,"","inside"]],"spatialpy.core.initialcondition":[[1,1,1,"","InitialCondition"],[1,1,1,"","PlaceInitialCondition"],[1,1,1,"","ScatterInitialCondition"],[1,1,1,"","UniformInitialCondition"]],"spatialpy.core.initialcondition.InitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.initialcondition.PlaceInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.initialcondition.ScatterInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.initialcondition.UniformInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.model":[[1,1,1,"","Model"],[1,6,1,"","export_StochSS"]],"spatialpy.core.model.Model":[[1,2,1,"","add_boundary_condition"],[1,2,1,"","add_data_function"],[1,2,1,"","add_domain"],[1,2,1,"","add_initial_condition"],[1,2,1,"","add_parameter"],[1,2,1,"","add_reaction"],[1,2,1,"","add_species"],[1,2,1,"","compile_prep"],[1,2,1,"","delete_all_parameters"],[1,2,1,"","delete_all_reactions"],[1,2,1,"","delete_all_species"],[1,2,1,"","delete_parameter"],[1,2,1,"","delete_reaction"],[1,2,1,"","delete_species"],[1,2,1,"","get_all_parameters"],[1,2,1,"","get_all_reactions"],[1,2,1,"","get_all_species"],[1,2,1,"","get_num_reactions"],[1,2,1,"","get_num_species"],[1,2,1,"","get_parameter"],[1,2,1,"","get_reaction"],[1,2,1,"","get_species"],[1,4,1,"","reserved_names"],[1,2,1,"","run"],[1,2,1,"","sanitized_data_function_names"],[1,2,1,"","sanitized_parameter_names"],[1,2,1,"","sanitized_species_names"],[1,2,1,"","set_timesteps"],[1,4,1,"","special_characters"],[1,2,1,"","timespan"],[1,2,1,"","update_namespace"]],"spatialpy.core.parameter":[[1,1,1,"","Parameter"]],"spatialpy.core.reaction":[[1,1,1,"","Reaction"]],"spatialpy.core.reaction.Reaction":[[1,2,1,"","add_product"],[1,2,1,"","add_reactant"],[1,2,1,"","annotate"],[1,2,1,"","initialize"]],"spatialpy.core.result":[[1,1,1,"","Result"]],"spatialpy.core.result.Result":[[1,2,1,"","export_to_csv"],[1,2,1,"","get_property"],[1,2,1,"","get_species"],[1,2,1,"","get_timespan"],[1,2,1,"","plot_property"],[1,2,1,"","plot_species"],[1,2,1,"","read_step"]],"spatialpy.core.spatialpyerror":[[1,3,1,"","BoundaryConditionError"],[1,3,1,"","DataFunctionError"],[1,3,1,"","DomainError"],[1,3,1,"","GeometryError"],[1,3,1,"","InitialConditionError"],[1,3,1,"","ModelError"],[1,3,1,"","ParameterError"],[1,3,1,"","ReactionError"],[1,3,1,"","ResultError"],[1,3,1,"","SimulationError"],[1,3,1,"","SimulationTimeout"],[1,3,1,"","SpeciesError"],[1,3,1,"","VTKReaderError"],[1,3,1,"","VTKReaderIOError"]],"spatialpy.core.species":[[1,1,1,"","Species"]],"spatialpy.core.species.Species":[[1,2,1,"","set_diffusion_coefficient"]],"spatialpy.core.vtkreader":[[1,1,1,"","VTKReader"]],"spatialpy.core.vtkreader.VTKReader":[[1,2,1,"","get_array_name"],[1,2,1,"","get_arrays"],[1,2,1,"","get_num_points"],[1,2,1,"","get_points"],[1,2,1,"","read_file"],[1,2,1,"","set_filename"]],"spatialpy.solvers":[[2,0,0,"-","build_expression"],[2,0,0,"-","solver"]],"spatialpy.solvers.build_expression":[[2,1,1,"","BuildExpression"],[2,1,1,"","CppConverter"],[2,1,1,"","ExpressionConverter"],[2,1,1,"","ExpressionResults"],[2,1,1,"","PythonConverter"]],"spatialpy.solvers.build_expression.BuildExpression":[[2,1,1,"","ValidationVisitor"],[2,2,1,"","getexpr_cpp"],[2,2,1,"","getexpr_python"],[2,2,1,"","map_operator"],[2,4,1,"","operator_map"],[2,2,1,"","validate"],[2,2,1,"","with_blacklist"],[2,2,1,"","with_namespace"]],"spatialpy.solvers.build_expression.BuildExpression.ValidationVisitor":[[2,2,1,"","visit_Assign"],[2,2,1,"","visit_BinOp"],[2,2,1,"","visit_BoolOp"],[2,2,1,"","visit_Call"],[2,2,1,"","visit_Compare"],[2,2,1,"","visit_Name"],[2,2,1,"","visit_UnaryOp"]],"spatialpy.solvers.build_expression.CppConverter":[[2,1,1,"","CppExpressionTransformer"],[2,2,1,"","get_str"],[2,2,1,"","visit_And"],[2,2,1,"","visit_Or"]],"spatialpy.solvers.build_expression.CppConverter.CppExpressionTransformer":[[2,2,1,"","visit_BinOp"]],"spatialpy.solvers.build_expression.ExpressionConverter":[[2,2,1,"","convert_str"],[2,2,1,"","get_str"],[2,2,1,"","parse_comparison"],[2,2,1,"","parse_logical"],[2,2,1,"","parse_operator"],[2,2,1,"","visit_Add"],[2,2,1,"","visit_BinOp"],[2,2,1,"","visit_BoolOp"],[2,2,1,"","visit_Bytes"],[2,2,1,"","visit_Call"],[2,2,1,"","visit_Compare"],[2,2,1,"","visit_Constant"],[2,2,1,"","visit_Div"],[2,2,1,"","visit_Ellipsis"],[2,2,1,"","visit_Eq"],[2,2,1,"","visit_Gt"],[2,2,1,"","visit_GtE"],[2,2,1,"","visit_Lt"],[2,2,1,"","visit_LtE"],[2,2,1,"","visit_Mult"],[2,2,1,"","visit_Name"],[2,2,1,"","visit_NameConstant"],[2,2,1,"","visit_NotEq"],[2,2,1,"","visit_Num"],[2,2,1,"","visit_Pow"],[2,2,1,"","visit_Str"],[2,2,1,"","visit_Sub"],[2,2,1,"","visit_USub"],[2,2,1,"","visit_UnaryOp"]],"spatialpy.solvers.build_expression.PythonConverter":[[2,2,1,"","visit_And"],[2,2,1,"","visit_Or"]],"spatialpy.solvers.solver":[[2,1,1,"","Solver"]],"spatialpy.solvers.solver.Solver":[[2,2,1,"","compile"],[2,2,1,"","run"]],"spatialpy.stochss":[[3,0,0,"-","stochss_export"]],"spatialpy.stochss.stochss_export":[[3,6,1,"","export"]],spatialpy:[[1,0,0,"-","core"],[2,0,0,"-","solvers"],[3,0,0,"-","stochss"]]},objnames:{"0":["py","module","Python module"],"1":["py","class","Python class"],"2":["py","method","Python method"],"3":["py","exception","Python exception"],"4":["py","attribute","Python attribute"],"5":["py","property","Python property"],"6":["py","function","Python function"]},objtypes:{"0":"py:module","1":"py:class","2":"py:method","3":"py:exception","4":"py:attribute","5":"py:property","6":"py:function"},terms:{"0":[1,2],"0012333":1,"04":1,"0511773":1,"1":[1,2],"10":1,"11":1,"12295571":1,"13":1,"14":1,"15":1,"168474926":1,"19":1,"1993":1,"1993apj":1,"1999":1,"1d":1,"2":1,"20":1,"2000":1,"2002":1,"2003mnra":1,"2005":1,"2015":1,"2019":[0,1,2,3],"2022":[0,1,2,3],"2236068":1,"2333084":1,"23606798":1,"24617575":1,"26836782":1,"28942611":1,"29571802":1,"2d":1,"2df":1,"2r01eb014877":4,"3":[0,1,2,3,4],"300":1,"30088013":1,"31994999":1,"32580855":1,"33630734":1,"346":1,"37327919":1,"39923701":1,"3d":[1,4],"4":1,"412":1,"5":1,"500":1,"55396483":1,"5647":1,"56906522":1,"57714465":1,"6":1,"600":1,"6395831":1,"6473269":1,"64l":1,"7":1,"71124834":1,"7225693":1,"72658602":1,"75679479":1,"78h":1,"79428925":1,"8":1,"800":1,"80622577":1,"8658745":1,"87665969":1,"9":1,"90785663":1,"abstract":[1,2],"byte":2,"case":1,"class":[1,2],"default":1,"do":1,"export":[1,3],"float":1,"function":[1,2],"import":1,"int":[1,2],"long":1,"new":[1,2],"public":[0,1,2,3,4],"return":[1,2,3],"short":4,"static":[1,4],"super":2,"switch":1,"true":[1,2],A:[0,1,2,3,4],And:2,As:1,By:[1,2],FOR:[0,1,2,3],For:[1,4],If:[0,1,2,3,4],In:1,It:1,No:1,Not:2,Or:2,The:[1,2,4],To:1,Will:1,ab:1,abl:1,about:1,abov:1,absolut:1,acceler:1,accept:2,across:1,action:1,actual:1,ad:[1,2],adapt:1,add:[1,2],add_boundary_condit:1,add_data_funct:1,add_domain:1,add_initial_condit:1,add_paramet:1,add_point:1,add_product:1,add_react:1,add_speci:1,addit:[1,2],addition:[1,2],addtion:[1,2],adsab:1,advect:[0,1,2,3,4],against:[1,2],al:1,algorithm:[1,4],align:1,all:[1,2],allow:2,along:[0,1,2,3],alreadi:1,also:[1,2,4],alwai:[1,2],amount:1,an:[1,2,4],analysi:1,angular:1,ani:[0,1,2,3,4],anim:1,animation_attribut:1,animation_opt:1,annot:1,append:2,appli:1,approxim:1,ar:[1,2],argument:1,around:1,arrai:1,arraid:1,array_lik:1,articl:4,artifici:1,arxiv:1,asarrai:1,ascii:1,assembl:1,assign:[1,2],associ:1,assum:2,ast:2,astro:1,astronom:1,astrophys:1,attempt:1,attribut:1,author:4,auto_plai:1,automat:[1,2],autorang:1,avail:[1,2,4],averag:1,axi:1,background:1,balanced_tre:1,bare:2,base:[1,2,4],basic:1,bass:1,becaus:1,becom:1,been:1,befor:1,begin:1,behavior:[1,2],below:1,between:[1,2],bia:1,bin:1,binari:1,binboolopop:2,binop:2,biochem:1,bitand:2,bitor:2,bitxor:2,blacklist:2,blob:1,blue:1,bodi:1,bogu:1,bool:[1,2,3],boolop:2,both:4,bottom:1,bound:1,bound_cond:1,boundari:1,boundarycondit:0,boundaryconditionerror:1,box:1,boxsiz:1,bracket:1,branch:1,brian:4,broadcast:1,browser:1,brute:1,bugn:1,build:[1,2,4],build_dir:1,build_express:0,buildexpress:2,built:[1,2],bulk:1,bupu:1,bvf_phi:1,c0:1,c:[0,1,2,3],c_:1,calcul:1,calculate_vol:1,call:[1,2],can:[0,1,2,3,4],caus:[1,2],cdn:1,cell:1,charact:1,chart:1,check:[1,2],chemic:1,children:1,choos:1,chosen:1,circumradiu:1,ckdtree:1,ckdtree_nod:1,ckdtreenod:1,classmethod:[1,2],cleanup:0,cleanup_build_fil:1,cleanup_core_fil:1,cleanup_result_fil:1,cleanup_tempfil:1,clear:1,close:1,closest:1,closest_vertex:1,cloud:1,cluster:1,code:4,coeffic:1,coeffici:1,collabor:1,colormap:1,column:1,com:[1,4],combin:1,compact:1,compact_nod:1,compar:[1,2],comparison:2,compil:[1,2],compile_prep:1,compos:1,comput:1,conain:1,conatain:1,concentr:1,condit:[1,2],config:1,connect:1,connolli:1,consid:1,consol:2,constant:[1,2],construct:1,constructor:2,constuct:1,contact:4,contain:[1,2],content:4,context:2,contian:1,contigu:1,continu:4,convers:2,convert:[1,2,3],convert_str:2,convet:2,coo_matrix:1,coodin:1,coordin:1,copi:[0,1,2,3],copy_data:1,copy_numb:1,copyright:[0,1,2,3],core:[0,4],corner:1,correl:1,correspond:[1,2],corrupt:1,cosmolog:1,could:[1,2],count:1,count_neighbor:1,coupl:1,cppconvert:2,cppexpressiontransform:2,cpu:1,cradded:1,creat:[1,2],create_2d_domain:1,create_3d_domain:1,csv:1,cumul:1,current:[1,2],custom:1,cylind:4,d:1,data:[1,2],data_funct:1,datafunct:0,datafunctionerror:1,dd:1,debug:[1,2],debug_level:[1,2],debugg:2,decreas:1,default_rng:1,defer:1,defin:[1,2],definit:1,degener:1,delete_all_paramet:1,delete_all_react:1,delete_all_speci:1,delete_paramet:1,delete_react:1,delete_speci:1,deltai:1,deltax:1,deltaz:1,demo:4,densiti:1,depend:1,dependency_graph:1,deprec:1,describ:[1,4],descript:1,detail:[0,1,2,3],determinist:[0,1,2,3,4],determinst:1,develop:[0,1,2,3,4],diamet:1,dict:[1,2],dictionari:[1,2],differ:[1,2],diffus:[0,1,2,3,4],diffusion_coeffici:1,dimens:1,dimension:1,direct:1,directli:[1,4],directori:1,discuss:1,displai:1,dissip:4,distanc:1,distance_between_2_vertic:1,distance_matrix:1,distance_upper_bound:1,distribut:[0,1,2,3],div:2,doe:1,doesn:1,dok_matrix:1,dolfin:1,dom:1,domain:[0,4],domainerror:1,domn:1,doubl:1,download:1,dr:4,draw:1,drawert:4,drawn:1,dtype:1,dual:1,duplic:2,durat:1,dure:[1,2],dynam:4,e:1,each:1,edg:1,edit:1,edu:1,effect:1,effici:1,either:1,element:1,ellipsi:2,els:1,embed:4,empti:2,end:1,engin:1,ensur:[1,2],enterpris:1,entir:1,entireti:1,ep:1,eq:2,equival:2,error:1,estim:1,et:1,euclidean:1,evalu:1,evaul:1,even:[0,1,2,3],evenli:1,exampl:1,exce:1,exceed:2,except:1,execut:[1,2],exist:1,expect:[1,2],expens:1,explor:1,export_stochss:1,export_to_csv:1,expres:2,express:[1,2],expressionconvert:2,expressionresult:2,extens:1,extra:1,f:1,f_durat:1,fail:2,fals:[1,2,3],far:2,faster:1,featur:4,fenic:1,field:1,fifo:1,figsiz:1,figur:1,figure_or_data:1,file:1,filenam:[1,3],fill:[1,4],fill_with_particl:1,find:[1,4],find_boundary_point:1,find_h:1,finit:1,first:[1,2],fit:[0,1,2,3],fix:1,flag:[1,2],flatten:1,flight:2,floordiv:2,flow:4,fluid:[1,4],folder_nam:1,follow:[1,2],forc:1,form:[1,4],format:1,forward:2,found:[1,2,4],foundat:[0,1,2,3],frac:1,fraction:1,frame:[1,4],free:[0,1,2,3],frequenc:1,from:[1,2],fromkei:1,fund:4,further:1,furthest:1,g:1,gain:1,galaxi:1,gdbgui:2,gener:[0,1,2,3,4],geometr:1,geometri:0,geometry_ivar:1,geometryal:1,geometryerror:1,geometryexterior:1,geometryinterior:1,get:[1,2],get_all_paramet:1,get_all_react:1,get_all_speci:1,get_arrai:1,get_array_nam:1,get_bounding_box:1,get_domain_s:1,get_num_point:1,get_num_react:1,get_num_speci:1,get_num_voxel:1,get_paramet:1,get_point:1,get_properti:1,get_react:1,get_speci:1,get_str:2,get_timespan:1,get_type_def:1,get_vol:1,getexpr_:2,getexpr_cpp:2,getexpr_python:2,github:[1,4],give:1,given:[1,2],gmsh:1,gnbu:1,gnu:[0,1,2,3,4],gprof:2,grai:1,grant:4,granular:2,graph:1,graph_obj:1,graph_refer:1,graviti:[1,4],greater:1,greatest:1,green:1,grei:1,gt:2,gte:2,guarante:1,h:1,ha:[1,4],hand:2,handl:2,happen:2,harvard:1,hasn:[1,2],have:[0,1,2,3],hawkin:1,height:1,held:1,help:1,here:[1,4],high:1,higher:1,highest:1,hit:1,hope:[0,1,2,3],how:[1,2,4],http:[0,1,2,3,4],hybrid:4,hyperrectangl:1,i:1,id:1,idea:1,ideal:2,idempot:1,identifi:[1,2],idx:1,ignor:1,ii:1,imag:1,image_height:1,image_width:1,immobil:1,implemenet:1,implement:[1,2],impli:[0,1,2,3],import_meshio_object:1,imposs:2,inch:1,incid:1,includ:1,included_types_list:1,incompat:1,increas:1,increment:2,indec:1,indeci:1,index:[1,4],indic:[1,2],indici:1,inf:1,infer:2,infin:1,infinit:1,info:1,inform:[1,2,4],inherit:2,init_cond:1,init_notebook_mod:1,initailcondit:1,initi:1,initialcondit:0,initialconditionerror:1,inlin:1,innernod:1,input:1,insert:1,insid:1,instanc:[1,2],instead:1,integ:1,intend:4,intern:1,internet:1,interv:1,invalid:[1,2],invalid_:2,invalid_nam:2,invalid_oper:2,io:1,iplot:1,ipython:1,is_valid:2,issuecom:1,item:[1,2],iter:1,its:1,j:1,jacob:4,jet:1,job:1,journal:1,jpeg:1,js:1,json:1,jupyt:1,k:1,kd:1,kd_tree1:1,kd_tree2:1,kd_tree:1,kdtree:1,kei:[1,2],keyerror:1,keyword:1,kill:1,kth:1,kwarg:1,l_i:1,lack:1,lagrangian:4,landi:1,larg:1,larger:1,last:[1,2],later:[1,2],latest:4,layout:1,leafnod:1,leafsiz:1,learn:1,leav:1,left:2,legaci:1,len:1,length:1,less:1,level:[1,2],li:4,librari:1,licens:[0,1,2,3,4],lifo:1,like:1,limit:1,linearli:1,link:1,link_text:1,list:[1,2],listofparamet:1,listofreact:1,listofspeci:1,listoftyp:1,load:1,local:1,locat:1,logic:2,longer:1,look:1,lookup:1,loos:1,lower:1,lowest:1,lshift:2,lt:2,lte:2,ly:1,m:1,mai:1,main:4,make:1,manag:2,maneewongvatana:1,manhattan:1,mani:[1,2],map:[1,2],map_oper:2,margin:1,mark:1,markers:1,mass:1,master:1,mathemat:[1,2],matmult:2,matplotlib:1,matrix:1,matter:1,max:1,max_dist:1,maximum:[1,2],mean:1,measur:1,median:1,meet:1,megabyt:1,merchant:[0,1,2,3],mesh:1,mesh_obj:1,meshio:1,messag:1,meta:1,method:[1,2],mgrid:1,midpoint:1,min:1,mine:1,minim:1,minimum:1,minkowski:1,miss:1,mod:2,model:[0,2,3,4],modelerror:1,modelname_mesh:1,modelname_species_:1,modifi:[0,1,2,3],modul:4,monthli:1,moor:1,more:[0,1,2,3,4],most:[1,2],mount:1,move:1,move_to_end:1,movement:1,msh:1,much:1,mult:2,multi:1,multipl:[1,2],must:1,n:1,n_i:1,naiv:1,name:[1,2],nameconst:2,namespac:[1,2],ndarrai:1,ndarri:1,nearbi:1,nearby_point:1,nearer:1,nearest:1,necessari:1,need:[1,4],neg:1,neighbor:1,neighbour:1,nih:4,node:[1,2],nodetransform:2,nodevisitor:2,non:1,none:[1,2,3],nonneg:1,norm:1,notat:1,note:[1,2],notebook:[1,4],noteq:2,notic:1,np:1,nsm:4,nu:1,num:2,num_step:1,number:[1,2],number_of_thread:[1,2],number_of_trajectori:[1,2],numpi:1,numpoint:1,nx:1,ny:1,nz:1,o:1,obj:1,object:[1,2],occur:1,od:1,off:1,offlin:1,og:1,omit:1,on_boundari:1,one:[1,2],onli:[1,2],onlin:1,open:1,oper:[1,2],operator_map:2,optim:1,option:1,orang:1,order:1,ordereddict:1,org:[0,1,2,3],origin:2,orrd:1,other:[1,2],otherwis:[1,2],our:[1,4],out:[1,4],outdat:1,output:[1,2],output_interv:1,output_typ:1,outsid:1,over:1,overflow:1,overrid:2,overridden:1,p0:1,p:1,p_ndx:1,packag:4,page:[1,4],pair:1,parallel:1,param:1,param_nam:1,param_obj:1,paramet:[0,2,3],parametererror:1,paramt:1,parent:1,pars:2,parse_comparison:2,parse_log:2,parse_oper:2,part:1,partcil:1,particip:1,particl:[1,4],particular:[0,1,2,3],pass:[1,2],path:[1,3],pdf:1,peculiar:1,per:1,perform:1,petzold:4,ph:1,physic:4,pii:4,pixel:1,place:1,placeinitialcondit:1,platform:1,pleas:[1,4],plot:1,plot_imag:1,plot_properti:1,plot_speci:1,plot_typ:1,plotli:1,plotly3:1,plt:1,pname:1,png:1,point:1,points1:1,points2:1,pop:[1,2],popitem:1,popul:1,posit:1,positon:1,pow:2,pre:2,predict:1,preper:1,present:[1,2],pressur:1,print:[1,2],problem:[0,1,2,3,4],process:[1,2],processor:1,produc:1,product:1,profil:[1,2],program:[0,1,2,3],project:4,propens:1,propensity_funct:1,properli:1,properti:[1,2],property_nam:1,proprti:1,protect:1,prove:4,provid:[1,2,4],prune:1,publish:[0,1,2,3],pubu:1,pubugn:1,pull:1,purd:1,purpl:1,purpos:[0,1,2,3],put:1,px:1,py:1,pypi:4,pyplot:1,python:[0,1,2,3,4],pythonconvert:2,pyurdm:4,quantifi:1,queri:1,query_ball_point:1,query_ball_tre:1,query_pair:1,question:4,quick:1,r:1,radii:1,radiu:1,rais:[1,2],random:[1,2],randomli:1,rang:1,rapidli:1,rate:1,rather:1,ratio:1,ravel:1,raw:1,rdme:4,rdpu:1,re:1,reac:1,reach:1,react_nam:1,react_obj:1,reactant:1,reaction:[0,2,3,4],reactionerror:1,read:1,read_fil:1,read_msh_fil:1,read_step:1,read_stochss_domain:1,read_stochss_subdomain_fil:1,read_xml_mesh:1,reader:1,real:1,receiv:[0,1,2,3],recent:[1,2],record:1,red:1,redistribut:[0,1,2,3],redshift:1,refer:1,referenc:1,regardless:1,region:1,regist:4,registr:4,reject:2,rememb:1,remov:1,replac:4,repres:1,represent:[1,2],request:1,requir:1,reserved_nam:1,resolut:1,restrict:1,restrict_to:1,result:[0,2],result_dir:1,resulterror:1,retreiv:1,retriev:1,return_length:1,return_plotly_figur:1,return_sort:1,return_stochss_model:[1,3],rho0:1,rho:1,right:[1,2],rname:1,rng:1,robust:1,royal:1,rshift:2,rtype:2,rule:1,run:[1,2],rvalu:2,s0021999118307101:4,s:[1,4],same:1,sampl:1,sanit:2,sanitized_data_function_nam:1,sanitized_parameter_nam:1,sanitized_species_nam:1,save:1,scalar:1,scale:1,scatter:1,scatterinitialcondit:1,schedul:1,scheme:1,scienc:[1,4],sciencedirect:4,scipi:1,sdm:1,sdpd:[1,4],search:[1,4],second:[1,2],section:1,see:[0,1,2,3,4],seed:[1,2],self:[1,2],sens:1,sep:1,separ:1,sequenc:1,seri:[1,2],set:[1,2],set_diffusion_coeffici:1,set_filenam:1,set_properti:1,set_timestep:1,setdefault:1,setter:1,shall:1,shallow:1,shape:1,sheth:1,should:[0,1,2,3],show:1,show_link:1,shrink:1,signal:1,significantli:1,similar:1,simlat:1,simplifi:1,simul:[0,1,2,3,4],simulationerror:[1,2],simulationtimeout:[1,2],sinc:1,singl:[1,2],size:1,skibba:1,sky:1,slide:1,slightli:1,small:1,smaller:1,smdl:1,smooth:4,sname:1,so:[1,2],societi:1,softwar:[0,1,2,3,4],solver:[0,1,4],some:1,sort:1,sound:1,sourc:[1,2,3,4],space:1,spactialpi:2,span:1,spars:1,sparse_distance_matrix:1,spatial:[0,1,2,3,4],spatialpy_build:1,spatialpy_model:[1,3],spatialpy_result:1,spatialpyerror:0,spatialpysolv:1,speci:0,special_charact:1,species_nam:1,species_object:1,specieserror:1,specif:1,specifi:1,speed:1,split:1,split_dim:1,squeez:1,src:1,ssa:1,sssa:4,start:[1,2,4],statement:2,statist:1,step:1,step_num:1,stochast:[0,1,2,3,4],stochss:[0,1,4],stochss_export:0,stoichiometr:1,stoichiometri:1,str:[1,2,3],string:[1,2],struct:2,structur:1,style:1,sub:2,subclass:[1,2],subdomain:1,submodul:0,subpackag:4,substanti:1,substitut:2,success:1,suggest:4,sum:1,suppli:1,support:[1,4],sure:1,survei:1,svg:1,symbol:2,syntax:2,syntaxerror:2,system:[1,4],szalai:1,t:[1,2],t_durat:1,t_ndx:1,t_ndx_list:1,t_val:1,tag:1,take:1,target:[1,2],tempfil:1,term:[0,1,2,3],tetrahedron:1,text:1,th:1,than:1,them:1,thi:[0,1,2,3,4],thin:1,those:1,though:1,thread:[1,2],time:[1,2],time_span:1,timeout:[1,2],timepoint:1,timespan:1,timestep:1,timestep_s:1,titl:1,toarrai:1,token:2,topolog:1,toroid:1,total:1,toth:1,trace:1,tracker:4,trajectori:[1,2],transit:1,travers:1,tree:[1,2],triangl:1,trigger:2,tspan:1,tupl:1,two:[1,2],txt:1,type:[1,2],type_id:1,u0:1,unabl:1,unaryop:2,under:[0,1,2,3,4],uniform:1,uniforminitialcondit:1,union:1,univers:[1,2],unless:1,unnecessari:1,unsqueez:1,unweight:1,up:1,updat:1,update_namespac:1,upload:1,upon:1,upper:1,urdm:1,us:[0,1,2,3,4],use_matplotlib:1,user:[1,4],usual:1,usub:2,util:1,v1:1,v:1,valid:[1,2],validationvisitor:2,valu:[1,2],valueerror:1,vari:1,varianc:1,veloc:1,verbos:2,version:[0,1,2,3,4],vertex:1,vertic:1,view:1,viewer:1,viscos:1,visit:2,visit_add:2,visit_and:2,visit_assign:2,visit_binop:2,visit_boolop:2,visit_byt:2,visit_cal:2,visit_compar:2,visit_const:2,visit_div:2,visit_ellipsi:2,visit_eq:2,visit_gt:2,visit_lt:2,visit_mult:2,visit_nam:2,visit_nameconst:2,visit_noteq:2,visit_num:2,visit_or:2,visit_pow:2,visit_str:2,visit_sub:2,visit_unaryop:2,visit_usub:2,visitor:2,vol:1,volum:1,voxel:1,vtk:1,vtkreader:0,vtkreadererror:1,vtkreaderioerror:1,wa:1,want:1,warranti:[0,1,2,3],we:[1,4],web:1,webp:1,weight:1,weir:4,well:2,were:[1,2],what:2,when:[1,2],where:1,whether:[1,2,3],which:[1,2],whose:1,wide:1,width:1,with_blacklist:2,with_namespac:2,within:1,without:[0,1,2,3],work:1,worker:1,wp:1,wrap:1,write:1,write_imag:1,written:1,www:[0,1,2,3,4],x1:1,x2:1,x:1,x_i:1,xaxi:1,xi:1,xk:1,xlim:1,xmax:1,xmin:1,xml:1,y:1,yaxi:1,yet:1,yi:4,ylgn:1,ylgnbu:1,ylim:1,ylorbr:1,ylorrd:1,ymax:1,ymin:1,you:[0,1,2,3,4],your:[1,4],z:1,zero:1,zeroth:1,zlim:1,zmax:1,zmin:1},titles:["spatialpy package","spatialpy.core package","spatialpy.solvers package","spatialpy.stochss package","Documentation for SpatialPy 1.0"],titleterms:{"0":4,"1":4,api:4,boundarycondit:1,build_express:2,cleanup:1,content:[0,1,2,3],copi:4,core:1,datafunct:1,document:4,domain:1,exampl:4,geometri:1,get:4,indic:4,initialcondit:1,issu:4,model:1,modul:[0,1,2,3],packag:[0,1,2,3],paramet:1,reaction:1,refer:4,report:4,result:1,solver:2,spatialpi:[0,1,2,3,4],spatialpyerror:1,speci:1,stochss:3,stochss_export:3,submodul:[1,2,3],subpackag:0,tabl:4,vtkreader:1}})
\ No newline at end of file
+Search.setIndex({docnames:["classes/spatialpy","classes/spatialpy.core","classes/spatialpy.solvers","classes/spatialpy.stochss","index"],envversion:{"sphinx.domains.c":2,"sphinx.domains.changeset":1,"sphinx.domains.citation":1,"sphinx.domains.cpp":4,"sphinx.domains.index":1,"sphinx.domains.javascript":2,"sphinx.domains.math":2,"sphinx.domains.python":3,"sphinx.domains.rst":2,"sphinx.domains.std":2,"sphinx.ext.todo":2,"sphinx.ext.viewcode":1,sphinx:56},filenames:["classes/spatialpy.rst","classes/spatialpy.core.rst","classes/spatialpy.solvers.rst","classes/spatialpy.stochss.rst","index.rst"],objects:{"":[[0,0,0,"-","spatialpy"]],"spatialpy.core":[[1,1,1,"","BoundaryCondition"],[1,3,1,"","BoundaryConditionError"],[1,1,1,"","DataFunction"],[1,3,1,"","DataFunctionError"],[1,1,1,"","Domain"],[1,3,1,"","DomainError"],[1,1,1,"","Geometry"],[1,1,1,"","GeometryAll"],[1,3,1,"","GeometryError"],[1,1,1,"","GeometryExterior"],[1,1,1,"","GeometryInterior"],[1,1,1,"","InitialCondition"],[1,3,1,"","InitialConditionError"],[1,1,1,"","KDTree"],[1,1,1,"","Model"],[1,3,1,"","ModelError"],[1,1,1,"","OrderedDict"],[1,1,1,"","Parameter"],[1,3,1,"","ParameterError"],[1,1,1,"","PlaceInitialCondition"],[1,1,1,"","Reaction"],[1,3,1,"","ReactionError"],[1,1,1,"","Result"],[1,3,1,"","ResultError"],[1,1,1,"","ScatterInitialCondition"],[1,3,1,"","SimulationError"],[1,3,1,"","SimulationTimeout"],[1,1,1,"","Species"],[1,3,1,"","SpeciesError"],[1,1,1,"","UniformInitialCondition"],[1,1,1,"","VTKReader"],[1,3,1,"","VTKReaderError"],[1,3,1,"","VTKReaderIOError"],[1,0,0,"-","boundarycondition"],[1,0,0,"-","cleanup"],[1,6,1,"","cleanup_build_files"],[1,6,1,"","cleanup_core_files"],[1,6,1,"","cleanup_result_files"],[1,6,1,"","cleanup_tempfiles"],[1,1,1,"","combinations"],[1,0,0,"-","datafunction"],[1,0,0,"-","domain"],[1,0,0,"-","geometry"],[1,6,1,"","init_notebook_mode"],[1,0,0,"-","initialcondition"],[1,6,1,"","iplot"],[1,0,0,"-","model"],[1,0,0,"-","parameter"],[1,0,0,"-","reaction"],[1,0,0,"-","result"],[1,0,0,"-","spatialpyerror"],[1,0,0,"-","species"],[1,0,0,"-","vtkreader"]],"spatialpy.core.BoundaryCondition":[[1,2,1,"","expression"]],"spatialpy.core.DataFunction":[[1,2,1,"","map"]],"spatialpy.core.Domain":[[1,2,1,"","add_point"],[1,2,1,"","calculate_vol"],[1,2,1,"","closest_vertex"],[1,2,1,"","compile_prep"],[1,2,1,"","coordinates"],[1,2,1,"","create_2D_domain"],[1,2,1,"","create_3D_domain"],[1,2,1,"","distance_between_2_vertices"],[1,2,1,"","fill_with_particles"],[1,2,1,"","find_boundary_points"],[1,2,1,"","find_h"],[1,2,1,"","get_bounding_box"],[1,2,1,"","get_domain_size"],[1,2,1,"","get_num_voxels"],[1,2,1,"","get_type_def"],[1,2,1,"","get_vol"],[1,2,1,"","import_meshio_object"],[1,2,1,"","plot_types"],[1,2,1,"","read_msh_file"],[1,2,1,"","read_stochss_domain"],[1,2,1,"","read_stochss_subdomain_file"],[1,2,1,"","read_xml_mesh"],[1,2,1,"","set_properties"]],"spatialpy.core.Geometry":[[1,2,1,"","inside"]],"spatialpy.core.GeometryAll":[[1,2,1,"","inside"]],"spatialpy.core.GeometryExterior":[[1,2,1,"","inside"]],"spatialpy.core.GeometryInterior":[[1,2,1,"","inside"]],"spatialpy.core.InitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.KDTree":[[1,2,1,"","count_neighbors"],[1,4,1,"","data"],[1,1,1,"","innernode"],[1,1,1,"","leafnode"],[1,4,1,"","leafsize"],[1,4,1,"","m"],[1,4,1,"","maxes"],[1,4,1,"","mins"],[1,4,1,"","n"],[1,1,1,"","node"],[1,2,1,"","query"],[1,2,1,"","query_ball_point"],[1,2,1,"","query_ball_tree"],[1,2,1,"","query_pairs"],[1,4,1,"","size"],[1,2,1,"","sparse_distance_matrix"],[1,5,1,"","tree"]],"spatialpy.core.KDTree.innernode":[[1,5,1,"","children"],[1,5,1,"","split"],[1,5,1,"","split_dim"]],"spatialpy.core.KDTree.leafnode":[[1,5,1,"","children"],[1,5,1,"","idx"]],"spatialpy.core.Model":[[1,2,1,"","add_boundary_condition"],[1,2,1,"","add_data_function"],[1,2,1,"","add_domain"],[1,2,1,"","add_initial_condition"],[1,2,1,"","add_parameter"],[1,2,1,"","add_reaction"],[1,2,1,"","add_species"],[1,2,1,"","compile_prep"],[1,2,1,"","delete_all_parameters"],[1,2,1,"","delete_all_reactions"],[1,2,1,"","delete_all_species"],[1,2,1,"","delete_parameter"],[1,2,1,"","delete_reaction"],[1,2,1,"","delete_species"],[1,2,1,"","get_all_parameters"],[1,2,1,"","get_all_reactions"],[1,2,1,"","get_all_species"],[1,2,1,"","get_num_reactions"],[1,2,1,"","get_num_species"],[1,2,1,"","get_parameter"],[1,2,1,"","get_reaction"],[1,2,1,"","get_species"],[1,4,1,"","reserved_names"],[1,2,1,"","run"],[1,2,1,"","sanitized_data_function_names"],[1,2,1,"","sanitized_parameter_names"],[1,2,1,"","sanitized_species_names"],[1,2,1,"","set_timesteps"],[1,4,1,"","special_characters"],[1,2,1,"","timespan"],[1,2,1,"","update_namespace"]],"spatialpy.core.OrderedDict":[[1,2,1,"","clear"],[1,2,1,"","copy"],[1,2,1,"","fromkeys"],[1,2,1,"","items"],[1,2,1,"","keys"],[1,2,1,"","move_to_end"],[1,2,1,"","pop"],[1,2,1,"","popitem"],[1,2,1,"","setdefault"],[1,2,1,"","update"],[1,2,1,"","values"]],"spatialpy.core.PlaceInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.Reaction":[[1,2,1,"","add_product"],[1,2,1,"","add_reactant"],[1,2,1,"","annotate"],[1,2,1,"","initialize"]],"spatialpy.core.Result":[[1,2,1,"","export_to_csv"],[1,2,1,"","get_property"],[1,2,1,"","get_species"],[1,2,1,"","get_timespan"],[1,2,1,"","plot_property"],[1,2,1,"","plot_species"],[1,2,1,"","read_step"]],"spatialpy.core.ScatterInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.Species":[[1,2,1,"","set_diffusion_coefficient"]],"spatialpy.core.UniformInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.VTKReader":[[1,2,1,"","get_array_name"],[1,2,1,"","get_arrays"],[1,2,1,"","get_num_points"],[1,2,1,"","get_points"],[1,2,1,"","read_file"],[1,2,1,"","set_filename"]],"spatialpy.core.boundarycondition":[[1,1,1,"","BoundaryCondition"]],"spatialpy.core.boundarycondition.BoundaryCondition":[[1,2,1,"","expression"]],"spatialpy.core.cleanup":[[1,6,1,"","cleanup_build_files"],[1,6,1,"","cleanup_core_files"],[1,6,1,"","cleanup_result_files"],[1,6,1,"","cleanup_tempfiles"]],"spatialpy.core.datafunction":[[1,1,1,"","DataFunction"]],"spatialpy.core.datafunction.DataFunction":[[1,2,1,"","map"]],"spatialpy.core.domain":[[1,1,1,"","Domain"]],"spatialpy.core.domain.Domain":[[1,2,1,"","add_point"],[1,2,1,"","calculate_vol"],[1,2,1,"","closest_vertex"],[1,2,1,"","compile_prep"],[1,2,1,"","coordinates"],[1,2,1,"","create_2D_domain"],[1,2,1,"","create_3D_domain"],[1,2,1,"","distance_between_2_vertices"],[1,2,1,"","fill_with_particles"],[1,2,1,"","find_boundary_points"],[1,2,1,"","find_h"],[1,2,1,"","get_bounding_box"],[1,2,1,"","get_domain_size"],[1,2,1,"","get_num_voxels"],[1,2,1,"","get_type_def"],[1,2,1,"","get_vol"],[1,2,1,"","import_meshio_object"],[1,2,1,"","plot_types"],[1,2,1,"","read_msh_file"],[1,2,1,"","read_stochss_domain"],[1,2,1,"","read_stochss_subdomain_file"],[1,2,1,"","read_xml_mesh"],[1,2,1,"","set_properties"]],"spatialpy.core.geometry":[[1,1,1,"","Geometry"],[1,1,1,"","GeometryAll"],[1,1,1,"","GeometryExterior"],[1,1,1,"","GeometryInterior"]],"spatialpy.core.geometry.Geometry":[[1,2,1,"","inside"]],"spatialpy.core.geometry.GeometryAll":[[1,2,1,"","inside"]],"spatialpy.core.geometry.GeometryExterior":[[1,2,1,"","inside"]],"spatialpy.core.geometry.GeometryInterior":[[1,2,1,"","inside"]],"spatialpy.core.initialcondition":[[1,1,1,"","InitialCondition"],[1,1,1,"","PlaceInitialCondition"],[1,1,1,"","ScatterInitialCondition"],[1,1,1,"","UniformInitialCondition"]],"spatialpy.core.initialcondition.InitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.initialcondition.PlaceInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.initialcondition.ScatterInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.initialcondition.UniformInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.model":[[1,1,1,"","Model"],[1,6,1,"","export_StochSS"]],"spatialpy.core.model.Model":[[1,2,1,"","add_boundary_condition"],[1,2,1,"","add_data_function"],[1,2,1,"","add_domain"],[1,2,1,"","add_initial_condition"],[1,2,1,"","add_parameter"],[1,2,1,"","add_reaction"],[1,2,1,"","add_species"],[1,2,1,"","compile_prep"],[1,2,1,"","delete_all_parameters"],[1,2,1,"","delete_all_reactions"],[1,2,1,"","delete_all_species"],[1,2,1,"","delete_parameter"],[1,2,1,"","delete_reaction"],[1,2,1,"","delete_species"],[1,2,1,"","get_all_parameters"],[1,2,1,"","get_all_reactions"],[1,2,1,"","get_all_species"],[1,2,1,"","get_num_reactions"],[1,2,1,"","get_num_species"],[1,2,1,"","get_parameter"],[1,2,1,"","get_reaction"],[1,2,1,"","get_species"],[1,4,1,"","reserved_names"],[1,2,1,"","run"],[1,2,1,"","sanitized_data_function_names"],[1,2,1,"","sanitized_parameter_names"],[1,2,1,"","sanitized_species_names"],[1,2,1,"","set_timesteps"],[1,4,1,"","special_characters"],[1,2,1,"","timespan"],[1,2,1,"","update_namespace"]],"spatialpy.core.parameter":[[1,1,1,"","Parameter"]],"spatialpy.core.reaction":[[1,1,1,"","Reaction"]],"spatialpy.core.reaction.Reaction":[[1,2,1,"","add_product"],[1,2,1,"","add_reactant"],[1,2,1,"","annotate"],[1,2,1,"","initialize"]],"spatialpy.core.result":[[1,1,1,"","Result"]],"spatialpy.core.result.Result":[[1,2,1,"","export_to_csv"],[1,2,1,"","get_property"],[1,2,1,"","get_species"],[1,2,1,"","get_timespan"],[1,2,1,"","plot_property"],[1,2,1,"","plot_species"],[1,2,1,"","read_step"]],"spatialpy.core.spatialpyerror":[[1,3,1,"","BoundaryConditionError"],[1,3,1,"","DataFunctionError"],[1,3,1,"","DomainError"],[1,3,1,"","GeometryError"],[1,3,1,"","InitialConditionError"],[1,3,1,"","ModelError"],[1,3,1,"","ParameterError"],[1,3,1,"","ReactionError"],[1,3,1,"","ResultError"],[1,3,1,"","SimulationError"],[1,3,1,"","SimulationTimeout"],[1,3,1,"","SpeciesError"],[1,3,1,"","VTKReaderError"],[1,3,1,"","VTKReaderIOError"]],"spatialpy.core.species":[[1,1,1,"","Species"]],"spatialpy.core.species.Species":[[1,2,1,"","set_diffusion_coefficient"]],"spatialpy.core.vtkreader":[[1,1,1,"","VTKReader"]],"spatialpy.core.vtkreader.VTKReader":[[1,2,1,"","get_array_name"],[1,2,1,"","get_arrays"],[1,2,1,"","get_num_points"],[1,2,1,"","get_points"],[1,2,1,"","read_file"],[1,2,1,"","set_filename"]],"spatialpy.solvers":[[2,0,0,"-","build_expression"],[2,0,0,"-","solver"]],"spatialpy.solvers.build_expression":[[2,1,1,"","BuildExpression"],[2,1,1,"","CppConverter"],[2,1,1,"","ExpressionConverter"],[2,1,1,"","ExpressionResults"],[2,1,1,"","PythonConverter"]],"spatialpy.solvers.build_expression.BuildExpression":[[2,1,1,"","ValidationVisitor"],[2,2,1,"","getexpr_cpp"],[2,2,1,"","getexpr_python"],[2,2,1,"","map_operator"],[2,4,1,"","operator_map"],[2,2,1,"","validate"],[2,2,1,"","with_blacklist"],[2,2,1,"","with_namespace"]],"spatialpy.solvers.build_expression.BuildExpression.ValidationVisitor":[[2,2,1,"","visit_Assign"],[2,2,1,"","visit_BinOp"],[2,2,1,"","visit_BoolOp"],[2,2,1,"","visit_Call"],[2,2,1,"","visit_Compare"],[2,2,1,"","visit_Name"],[2,2,1,"","visit_UnaryOp"]],"spatialpy.solvers.build_expression.CppConverter":[[2,1,1,"","CppExpressionTransformer"],[2,2,1,"","get_str"],[2,2,1,"","visit_And"],[2,2,1,"","visit_Or"]],"spatialpy.solvers.build_expression.CppConverter.CppExpressionTransformer":[[2,2,1,"","visit_BinOp"]],"spatialpy.solvers.build_expression.ExpressionConverter":[[2,2,1,"","convert_str"],[2,2,1,"","get_str"],[2,2,1,"","parse_comparison"],[2,2,1,"","parse_logical"],[2,2,1,"","parse_operator"],[2,2,1,"","visit_Add"],[2,2,1,"","visit_BinOp"],[2,2,1,"","visit_BoolOp"],[2,2,1,"","visit_Bytes"],[2,2,1,"","visit_Call"],[2,2,1,"","visit_Compare"],[2,2,1,"","visit_Constant"],[2,2,1,"","visit_Div"],[2,2,1,"","visit_Ellipsis"],[2,2,1,"","visit_Eq"],[2,2,1,"","visit_Gt"],[2,2,1,"","visit_GtE"],[2,2,1,"","visit_Lt"],[2,2,1,"","visit_LtE"],[2,2,1,"","visit_Mult"],[2,2,1,"","visit_Name"],[2,2,1,"","visit_NameConstant"],[2,2,1,"","visit_NotEq"],[2,2,1,"","visit_Num"],[2,2,1,"","visit_Pow"],[2,2,1,"","visit_Str"],[2,2,1,"","visit_Sub"],[2,2,1,"","visit_USub"],[2,2,1,"","visit_UnaryOp"]],"spatialpy.solvers.build_expression.PythonConverter":[[2,2,1,"","visit_And"],[2,2,1,"","visit_Or"]],"spatialpy.solvers.solver":[[2,1,1,"","Solver"]],"spatialpy.solvers.solver.Solver":[[2,2,1,"","compile"],[2,2,1,"","run"]],"spatialpy.stochss":[[3,0,0,"-","stochss_export"]],"spatialpy.stochss.stochss_export":[[3,6,1,"","export"]],spatialpy:[[1,0,0,"-","core"],[2,0,0,"-","solvers"],[3,0,0,"-","stochss"]]},objnames:{"0":["py","module","Python module"],"1":["py","class","Python class"],"2":["py","method","Python method"],"3":["py","exception","Python exception"],"4":["py","attribute","Python attribute"],"5":["py","property","Python property"],"6":["py","function","Python function"]},objtypes:{"0":"py:module","1":"py:class","2":"py:method","3":"py:exception","4":"py:attribute","5":"py:property","6":"py:function"},terms:{"0":[1,2],"0012333":1,"04":1,"0511773":1,"1":[1,2],"10":1,"11":1,"12295571":1,"13":1,"14":1,"15":1,"168474926":1,"19":1,"1993":1,"1993apj":1,"1999":1,"1d":1,"2":1,"20":1,"2000":1,"2002":1,"2003mnra":1,"2005":1,"2015":1,"2019":[0,1,2,3],"2022":[0,1,2,3],"2236068":1,"2333084":1,"23606798":1,"24617575":1,"26836782":1,"28942611":1,"29571802":1,"2d":1,"2df":1,"2r01eb014877":4,"3":[0,1,2,3,4],"300":1,"30088013":1,"31994999":1,"32580855":1,"33630734":1,"346":1,"37327919":1,"39923701":1,"3d":[1,4],"4":1,"412":1,"5":1,"500":1,"55396483":1,"5647":1,"56906522":1,"57714465":1,"6":1,"600":1,"6395831":1,"6473269":1,"64l":1,"7":1,"71124834":1,"7225693":1,"72658602":1,"75679479":1,"78h":1,"79428925":1,"8":1,"800":1,"80622577":1,"8658745":1,"87665969":1,"9":1,"90785663":1,"abstract":[1,2],"byte":2,"case":1,"class":[1,2],"default":1,"do":1,"export":[1,3],"float":1,"function":[1,2],"import":1,"int":[1,2],"long":1,"new":[1,2],"public":[0,1,2,3,4],"return":[1,2,3],"short":4,"static":[1,4],"super":2,"switch":1,"true":[1,2,3],A:[0,1,2,3,4],And:2,As:1,By:[1,2],FOR:[0,1,2,3],For:[1,4],If:[0,1,2,3,4],In:1,It:1,No:1,Not:2,Or:2,The:[1,2,4],To:1,Will:1,ab:1,abl:1,about:1,abov:1,absolut:1,acceler:1,accept:2,across:1,action:1,actual:1,ad:[1,2],adapt:1,add:[1,2],add_boundary_condit:1,add_data_funct:1,add_domain:1,add_initial_condit:1,add_paramet:1,add_point:1,add_product:1,add_react:1,add_speci:1,addit:[1,2],addition:[1,2],addtion:[1,2],adsab:1,advect:[0,1,2,3,4],against:[1,2],al:1,algorithm:[1,4],align:1,all:[1,2],allow:2,along:[0,1,2,3],alreadi:1,also:[1,2,4],alwai:[1,2],amount:1,an:[1,2,4],analysi:1,angular:1,ani:[0,1,2,3,4],anim:1,animation_attribut:1,animation_opt:1,annot:1,append:2,appli:1,approxim:1,ar:[1,2],argument:1,around:1,arrai:1,arraid:1,array_lik:1,articl:4,artifici:1,arxiv:1,asarrai:1,ascii:1,assembl:1,assign:[1,2],associ:1,assum:2,ast:2,astro:1,astronom:1,astrophys:1,attempt:1,attribut:1,author:4,auto_plai:1,automat:[1,2],autorang:1,avail:[1,2,4],averag:1,axi:1,background:1,balanced_tre:1,bare:2,base:[1,2,4],basic:1,bass:1,becaus:1,becom:1,been:1,befor:1,begin:1,behavior:[1,2],below:1,between:[1,2],bia:1,bin:1,binari:1,binboolopop:2,binop:2,biochem:1,bitand:2,bitor:2,bitxor:2,blacklist:2,blob:1,blue:1,bodi:1,bogu:1,bool:[1,2,3],boolop:2,both:4,bottom:1,bound:1,bound_cond:1,boundari:1,boundarycondit:0,boundaryconditionerror:1,box:1,boxsiz:1,bracket:1,branch:1,brian:4,broadcast:1,browser:1,brute:1,bugn:1,build:[1,2,4],build_dir:1,build_express:0,buildexpress:2,built:[1,2],bulk:1,bupu:1,bvf_phi:1,c0:1,c:[0,1,2,3],c_:1,calcul:1,calculate_vol:1,call:[1,2],can:[0,1,2,3,4],caus:[1,2],cdn:1,cell:1,charact:1,chart:1,check:[1,2],chemic:1,children:1,choos:1,chosen:1,circumradiu:1,ckdtree:1,ckdtree_nod:1,ckdtreenod:1,classmethod:[1,2],cleanup:0,cleanup_build_fil:1,cleanup_core_fil:1,cleanup_result_fil:1,cleanup_tempfil:1,clear:1,close:1,closest:1,closest_vertex:1,cloud:1,cluster:1,code:4,coeffic:1,coeffici:1,collabor:1,colormap:1,column:1,com:[1,4],combin:1,compact:1,compact_nod:1,compar:[1,2],comparison:2,compil:[1,2],compile_prep:1,compos:1,comput:1,conain:1,conatain:1,concentr:1,condit:[1,2],config:1,connect:1,connolli:1,consid:1,consol:2,constant:[1,2],construct:1,constructor:2,constuct:1,contact:4,contain:[1,2],content:4,context:2,contian:1,contigu:1,continu:4,convers:2,convert:[1,2,3],convert_str:2,convet:2,coo_matrix:1,coodin:1,coordin:1,copi:[0,1,2,3],copy_data:1,copy_numb:1,copyright:[0,1,2,3],core:[0,3,4],corner:1,correl:1,correspond:[1,2],corrupt:1,cosmolog:1,could:[1,2],count:1,count_neighbor:1,coupl:1,cppconvert:2,cppexpressiontransform:2,cpu:1,cradded:1,creat:[1,2],create_2d_domain:1,create_3d_domain:1,csv:1,cumul:1,current:[1,2],custom:1,cylind:4,d:1,data:[1,2],data_funct:1,datafunct:0,datafunctionerror:1,dd:1,debug:[1,2],debug_level:[1,2],debugg:2,decreas:1,default_rng:1,defer:1,defin:[1,2],definit:1,degener:1,delete_all_paramet:1,delete_all_react:1,delete_all_speci:1,delete_paramet:1,delete_react:1,delete_speci:1,deltai:1,deltax:1,deltaz:1,demo:4,densiti:1,depend:1,dependency_graph:1,deprec:1,describ:[1,4],descript:1,detail:[0,1,2,3],determinist:[0,1,2,3,4],determinst:1,develop:[0,1,2,3,4],diamet:1,dict:[1,2,3],dictionari:[1,2],differ:[1,2],diffus:[0,1,2,3,4],diffusion_coeffici:1,dimens:1,dimension:1,direct:1,directli:[1,4],directori:1,discuss:1,displai:1,dissip:4,distanc:1,distance_between_2_vertic:1,distance_matrix:1,distance_upper_bound:1,distribut:[0,1,2,3],div:2,doe:1,doesn:1,dok_matrix:1,dolfin:1,dom:1,domain:[0,4],domainerror:1,domn:1,doubl:1,download:1,dr:4,draw:1,drawert:4,drawn:1,dtype:1,dual:1,duplic:2,durat:1,dure:[1,2],dynam:4,e:1,each:1,edg:1,edit:1,edu:1,effect:1,effici:1,either:1,element:1,ellipsi:2,els:[1,3],embed:4,empti:2,end:1,engin:1,ensur:[1,2],enterpris:1,entir:1,entireti:1,ep:1,eq:2,equival:2,error:1,estim:1,et:1,euclidean:1,evalu:1,evaul:1,even:[0,1,2,3],evenli:1,exampl:1,exce:1,exceed:2,except:1,execut:[1,2],exist:1,expect:[1,2],expens:1,explor:1,export_stochss:1,export_to_csv:1,expres:2,express:[1,2],expressionconvert:2,expressionresult:2,extens:1,extra:1,f:1,f_durat:1,fail:2,fals:[1,2,3],far:2,faster:1,featur:4,fenic:1,field:1,fifo:1,figsiz:1,figur:1,figure_or_data:1,file:[1,3],filenam:[1,3],fill:[1,4],fill_with_particl:1,find:[1,4],find_boundary_point:1,find_h:1,finit:1,first:[1,2],fit:[0,1,2,3],fix:1,flag:[1,2],flatten:1,flight:2,floordiv:2,flow:4,fluid:[1,4],folder_nam:1,follow:[1,2],forc:1,form:[1,4],format:1,forward:2,found:[1,2,4],foundat:[0,1,2,3],frac:1,fraction:1,frame:[1,4],free:[0,1,2,3],frequenc:1,from:[1,2],fromkei:1,fund:4,further:1,furthest:1,g:1,gain:1,galaxi:1,gdbgui:2,gener:[0,1,2,3,4],geometr:1,geometri:0,geometry_ivar:1,geometryal:1,geometryerror:1,geometryexterior:1,geometryinterior:1,get:[1,2],get_all_paramet:1,get_all_react:1,get_all_speci:1,get_arrai:1,get_array_nam:1,get_bounding_box:1,get_domain_s:1,get_num_point:1,get_num_react:1,get_num_speci:1,get_num_voxel:1,get_paramet:1,get_point:1,get_properti:1,get_react:1,get_speci:1,get_str:2,get_timespan:1,get_type_def:1,get_vol:1,getexpr_:2,getexpr_cpp:2,getexpr_python:2,github:[1,4],give:1,given:[1,2],gmsh:1,gnbu:1,gnu:[0,1,2,3,4],gprof:2,grai:1,grant:4,granular:2,graph:1,graph_obj:1,graph_refer:1,graviti:[1,4],greater:1,greatest:1,green:1,grei:1,gt:2,gte:2,guarante:1,h:1,ha:[1,4],hand:2,handl:2,happen:2,harvard:1,hasn:[1,2],have:[0,1,2,3],hawkin:1,height:1,held:1,help:1,here:[1,4],high:1,higher:1,highest:1,hit:1,hope:[0,1,2,3],how:[1,2,4],http:[0,1,2,3,4],hybrid:4,hyperrectangl:1,i:1,id:1,idea:1,ideal:2,idempot:1,identifi:[1,2],idx:1,ignor:1,ii:1,imag:1,image_height:1,image_width:1,immobil:1,implemenet:1,implement:[1,2],impli:[0,1,2,3],import_meshio_object:1,imposs:2,inch:1,incid:1,includ:1,included_types_list:1,incompat:1,increas:1,increment:2,indec:1,indeci:1,index:[1,4],indic:[1,2],indici:1,inf:1,infer:2,infin:1,infinit:1,info:1,inform:[1,2,4],inherit:2,init_cond:1,init_notebook_mod:1,initailcondit:1,initi:1,initialcondit:0,initialconditionerror:1,inlin:1,innernod:1,input:1,insert:1,insid:1,instanc:[1,2],instead:1,integ:1,intend:4,intern:1,internet:1,interv:1,invalid:[1,2],invalid_:2,invalid_nam:2,invalid_oper:2,io:1,iplot:1,ipython:1,is_valid:2,issuecom:1,item:[1,2],iter:1,its:1,j:1,jacob:4,jet:1,job:1,journal:1,jpeg:1,js:1,json:1,jupyt:1,k:1,kd:1,kd_tree1:1,kd_tree2:1,kd_tree:1,kdtree:1,kei:[1,2],keyerror:1,keyword:1,kill:1,kth:1,kwarg:1,l_i:1,lack:1,lagrangian:4,landi:1,larg:1,larger:1,last:[1,2],later:[1,2],latest:4,layout:1,leafnod:1,leafsiz:1,learn:1,leav:1,left:2,legaci:1,len:1,length:1,less:1,level:[1,2],li:4,librari:1,licens:[0,1,2,3,4],lifo:1,like:1,limit:1,linearli:1,link:1,link_text:1,list:[1,2],listofparamet:1,listofreact:1,listofspeci:1,listoftyp:1,load:1,local:1,locat:1,logic:2,longer:1,look:1,lookup:1,loos:1,lower:1,lowest:1,lshift:2,lt:2,lte:2,ly:1,m:1,mai:1,main:4,make:1,manag:2,maneewongvatana:1,manhattan:1,mani:[1,2],map:[1,2],map_oper:2,margin:1,mark:1,markers:1,mass:1,master:1,mathemat:[1,2],matmult:2,matplotlib:1,matrix:1,matter:1,max:1,max_dist:1,maximum:[1,2],mean:1,measur:1,median:1,meet:1,megabyt:1,merchant:[0,1,2,3],mesh:1,mesh_obj:1,meshio:1,messag:1,meta:1,method:[1,2],mgrid:1,midpoint:1,min:1,mine:1,minim:1,minimum:1,minkowski:1,miss:1,mod:2,model:[0,2,3,4],modelerror:1,modelname_mesh:1,modelname_species_:1,modifi:[0,1,2,3],modul:4,monthli:1,moor:1,more:[0,1,2,3,4],most:[1,2],mount:1,move:1,move_to_end:1,movement:1,msh:1,much:1,mult:2,multi:1,multipl:[1,2],must:1,n:1,n_i:1,naiv:1,name:[1,2],nameconst:2,namespac:[1,2],ndarrai:1,ndarri:1,nearbi:1,nearby_point:1,nearer:1,nearest:1,necessari:1,need:[1,4],neg:1,neighbor:1,neighbour:1,nih:4,node:[1,2],nodetransform:2,nodevisitor:2,non:1,none:[1,2,3],nonneg:1,norm:1,notat:1,note:[1,2],notebook:[1,4],noteq:2,notic:1,np:1,nsm:4,nu:1,num:2,num_step:1,number:[1,2],number_of_thread:[1,2],number_of_trajectori:[1,2],numpi:1,numpoint:1,nx:1,ny:1,nz:1,o:1,obj:1,object:[1,2],occur:1,od:1,off:1,offlin:1,og:1,omit:1,on_boundari:1,one:[1,2],onli:[1,2],onlin:1,open:1,oper:[1,2],operator_map:2,optim:1,option:1,orang:1,order:1,ordereddict:1,org:[0,1,2,3],origin:2,orrd:1,other:[1,2],otherwis:[1,2],our:[1,4],out:[1,4],outdat:1,output:[1,2],output_interv:1,output_typ:1,outsid:1,over:1,overflow:1,overrid:2,overridden:1,p0:1,p:1,p_ndx:1,packag:4,page:[1,4],pair:1,parallel:1,param:1,param_nam:1,param_obj:1,paramet:[0,2,3],parametererror:1,paramt:1,parent:1,pars:2,parse_comparison:2,parse_log:2,parse_oper:2,part:1,partcil:1,particip:1,particl:[1,4],particular:[0,1,2,3],pass:[1,2],path:[1,3],pdf:1,peculiar:1,per:1,perform:1,petzold:4,ph:1,physic:4,pii:4,pixel:1,place:1,placeinitialcondit:1,platform:1,pleas:[1,4],plot:1,plot_imag:1,plot_properti:1,plot_speci:1,plot_typ:1,plotli:1,plotly3:1,plt:1,pname:1,png:1,point:1,points1:1,points2:1,pop:[1,2],popitem:1,popul:1,posit:1,positon:1,pow:2,pre:2,predict:1,preper:1,present:[1,2],pressur:1,print:[1,2],problem:[0,1,2,3,4],process:[1,2],processor:1,produc:1,product:1,profil:[1,2],program:[0,1,2,3],project:4,propens:1,propensity_funct:1,properli:1,properti:[1,2],property_nam:1,proprti:1,protect:1,prove:4,provid:[1,2,4],prune:1,publish:[0,1,2,3],pubu:1,pubugn:1,pull:1,purd:1,purpl:1,purpos:[0,1,2,3],put:1,px:1,py:1,pypi:4,pyplot:1,python:[0,1,2,3,4],pythonconvert:2,pyurdm:4,quantifi:1,queri:1,query_ball_point:1,query_ball_tre:1,query_pair:1,question:4,quick:1,r:1,radii:1,radiu:1,rais:[1,2],random:[1,2],randomli:1,rang:1,rapidli:1,rate:1,rather:1,ratio:1,ravel:1,raw:1,rdme:4,rdpu:1,re:1,reac:1,reach:1,react_nam:1,react_obj:1,reactant:1,reaction:[0,2,3,4],reactionerror:1,read:1,read_fil:1,read_msh_fil:1,read_step:1,read_stochss_domain:1,read_stochss_subdomain_fil:1,read_xml_mesh:1,reader:1,real:1,receiv:[0,1,2,3],recent:[1,2],record:1,red:1,redistribut:[0,1,2,3],redshift:1,refer:1,referenc:1,regardless:1,region:1,regist:4,registr:4,reject:2,rememb:1,remov:1,replac:4,repres:1,represent:[1,2],request:1,requir:1,reserved_nam:1,resolut:1,restrict:1,restrict_to:1,result:[0,2],result_dir:1,resulterror:1,retreiv:1,retriev:1,return_length:1,return_plotly_figur:1,return_sort:1,return_stochss_model:[1,3],rho0:1,rho:1,right:[1,2],rname:1,rng:1,robust:1,royal:1,rshift:2,rtype:2,rule:1,run:[1,2],rvalu:2,s0021999118307101:4,s:[1,4],same:1,sampl:1,sanit:2,sanitized_data_function_nam:1,sanitized_parameter_nam:1,sanitized_species_nam:1,save:1,scalar:1,scale:1,scatter:1,scatterinitialcondit:1,schedul:1,scheme:1,scienc:[1,4],sciencedirect:4,scipi:1,sdm:1,sdpd:[1,4],search:[1,4],second:[1,2],section:1,see:[0,1,2,3,4],seed:[1,2],self:[1,2],sens:1,sep:1,separ:1,sequenc:1,seri:[1,2],set:[1,2],set_diffusion_coeffici:1,set_filenam:1,set_properti:1,set_timestep:1,setdefault:1,setter:1,shall:1,shallow:1,shape:1,sheth:1,should:[0,1,2,3],show:1,show_link:1,shrink:1,signal:1,significantli:1,similar:1,simlat:1,simplifi:1,simul:[0,1,2,3,4],simulationerror:[1,2],simulationtimeout:[1,2],sinc:1,singl:[1,2],size:1,skibba:1,sky:1,slide:1,slightli:1,small:1,smaller:1,smdl:1,smooth:4,sname:1,so:[1,2],societi:1,softwar:[0,1,2,3,4],solver:[0,1,4],some:1,sort:1,sound:1,sourc:[1,2,3,4],space:1,spactialpi:2,span:1,spars:1,sparse_distance_matrix:1,spatial:[0,1,2,3,4],spatialpy_build:1,spatialpy_model:1,spatialpy_result:1,spatialpyerror:0,spatialpysolv:1,speci:0,special_charact:1,species_nam:1,species_object:1,specieserror:1,specif:1,specifi:1,speed:1,split:1,split_dim:1,squeez:1,src:1,ssa:1,sssa:4,start:[1,2,4],statement:2,statist:1,step:1,step_num:1,stochast:[0,1,2,3,4],stochss:[0,1,4],stochss_export:0,stoichiometr:1,stoichiometri:1,str:[1,2,3],string:[1,2],struct:2,structur:1,style:1,sub:2,subclass:[1,2],subdomain:1,submodul:0,subpackag:4,substanti:1,substitut:2,success:1,suggest:4,sum:1,suppli:1,support:[1,4],sure:1,survei:1,svg:1,symbol:2,syntax:2,syntaxerror:2,system:[1,4],szalai:1,t:[1,2],t_durat:1,t_ndx:1,t_ndx_list:1,t_val:1,tag:1,take:1,target:[1,2],tempfil:1,term:[0,1,2,3],tetrahedron:1,text:1,th:1,than:1,them:1,thi:[0,1,2,3,4],thin:1,those:1,though:1,thread:[1,2],time:[1,2],time_span:1,timeout:[1,2],timepoint:1,timespan:1,timestep:1,timestep_s:1,titl:1,toarrai:1,token:2,topolog:1,toroid:1,total:1,toth:1,trace:1,tracker:4,trajectori:[1,2],transit:1,travers:1,tree:[1,2],triangl:1,trigger:2,tspan:1,tupl:1,two:[1,2],txt:1,type:[1,2,3],type_id:1,u0:1,unabl:1,unaryop:2,under:[0,1,2,3,4],uniform:1,uniforminitialcondit:1,union:1,univers:[1,2],unless:1,unnecessari:1,unsqueez:1,unweight:1,up:1,updat:1,update_namespac:1,upload:1,upon:1,upper:1,urdm:1,us:[0,1,2,3,4],use_matplotlib:1,user:[1,4],usual:1,usub:2,util:1,v1:1,v:1,valid:[1,2],validationvisitor:2,valu:[1,2],valueerror:1,vari:1,varianc:1,veloc:1,verbos:2,version:[0,1,2,3,4],vertex:1,vertic:1,view:1,viewer:1,viscos:1,visit:2,visit_add:2,visit_and:2,visit_assign:2,visit_binop:2,visit_boolop:2,visit_byt:2,visit_cal:2,visit_compar:2,visit_const:2,visit_div:2,visit_ellipsi:2,visit_eq:2,visit_gt:2,visit_lt:2,visit_mult:2,visit_nam:2,visit_nameconst:2,visit_noteq:2,visit_num:2,visit_or:2,visit_pow:2,visit_str:2,visit_sub:2,visit_unaryop:2,visit_usub:2,visitor:2,vol:1,volum:1,voxel:1,vtk:1,vtkreader:0,vtkreadererror:1,vtkreaderioerror:1,wa:1,want:1,warranti:[0,1,2,3],we:[1,4],web:1,webp:1,weight:1,weir:4,well:2,were:[1,2],what:2,when:[1,2],where:1,whether:[1,2,3],which:[1,2],whose:1,wide:1,width:1,with_blacklist:2,with_namespac:2,within:1,without:[0,1,2,3],work:1,worker:1,wp:1,wrap:1,write:1,write_imag:1,written:1,www:[0,1,2,3,4],x1:1,x2:1,x:1,x_i:1,xaxi:1,xi:1,xk:1,xlim:1,xmax:1,xmin:1,xml:1,y:1,yaxi:1,yet:1,yi:4,ylgn:1,ylgnbu:1,ylim:1,ylorbr:1,ylorrd:1,ymax:1,ymin:1,you:[0,1,2,3,4],your:[1,4],z:1,zero:1,zeroth:1,zlim:1,zmax:1,zmin:1},titles:["spatialpy package","spatialpy.core package","spatialpy.solvers package","spatialpy.stochss package","Documentation for SpatialPy 1.0"],titleterms:{"0":4,"1":4,api:4,boundarycondit:1,build_express:2,cleanup:1,content:[0,1,2,3],copi:4,core:1,datafunct:1,document:4,domain:1,exampl:4,geometri:1,get:4,indic:4,initialcondit:1,issu:4,model:1,modul:[0,1,2,3],packag:[0,1,2,3],paramet:1,reaction:1,refer:4,report:4,result:1,solver:2,spatialpi:[0,1,2,3,4],spatialpyerror:1,speci:1,stochss:3,stochss_export:3,submodul:[1,2,3],subpackag:0,tabl:4,vtkreader:1}})
\ No newline at end of file

From e9edd0289939ffd0c88e291e72bf9c4c90412b52 Mon Sep 17 00:00:00 2001
From: Bryan Rumsey 
Date: Wed, 2 Mar 2022 12:13:36 -0500
Subject: [PATCH 23/30] Updated docs for solver.

---
 spatialpy/solvers/solver.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/spatialpy/solvers/solver.py b/spatialpy/solvers/solver.py
index 6f30f0c6..0387165f 100644
--- a/spatialpy/solvers/solver.py
+++ b/spatialpy/solvers/solver.py
@@ -49,7 +49,7 @@ class Solver:
     SpatialPy solver object.
 
     :param model: Target model of solver simulation.
-    :type model: spatialpy.Model.Model
+    :type model: spatialpy.core.model.Model
 
     :param debug_level: Target level of debugging.
     :type debug_level: int

From 7d7f806711f0f4d228d2419225424385b110d96b Mon Sep 17 00:00:00 2001
From: Bryan Rumsey 
Date: Wed, 2 Mar 2022 12:17:22 -0500
Subject: [PATCH 24/30] Updated docs html files.

---
 .../classes/spatialpy.solvers.doctree         | Bin 234328 -> 234343 bytes
 docs/build/html/.doctrees/environment.pickle  | Bin 452624 -> 452629 bytes
 .../_modules/spatialpy/solvers/solver.html    |   2 +-
 .../build/html/classes/spatialpy.solvers.html |   2 +-
 docs/build/html/searchindex.js                |   2 +-
 5 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/docs/build/html/.doctrees/classes/spatialpy.solvers.doctree b/docs/build/html/.doctrees/classes/spatialpy.solvers.doctree
index 9e89df7f6dcc3cbda0ce94e66a821c17eb6f5e42..06e22d16f19863511d1ddaeafc92aeb8b128e9a3 100644
GIT binary patch
delta 125
zcmcbyjPLm}zJ?aY7N#l88`;)PVgQ0^U5ujB6Fx8oZkJ_bo+dBhk(-~AnxmjmT##6j
vnV3^hsh6Bzl&Y6I{g?vtOA{${VUS`yUl2JZgFSXihFA}VlI=GYnd=Jy7I`iQ

delta 110
zcmaF9jPJ%WzJ?aY7N#l88`Em0&9kPUE1NsBg6++zf)sWq
zH;z3pE0Xltz#uQsVp-$nR)ZF*uTswX4mt=+2PzYc4dZ<#pUF(_?fY6
z!z>;9arVxLVPV_Qf%7b_;0B8*N@eY33bQZDVk-*UV4Q8V6|l>N
z55h$ny~Iuwrn0)NMQnA^(@S}9Ts2zy;URWy<|7_nS1%v&(7GPtBOX@Q<1`u=3h}x(
z_aA)lV2U7Up?2%y+!uDM_hm8j+M?y9Ep0)rR|Wo4+qH####-
z9EtFKwxUb&I#&(=Mer9J_fQ0rnP*iCYnzkh`)n1t&^9O9m%ipzIhb7gh8QqIZJh7t
z>-WgX_AO@LhSn{>&MtJbL0dLk)z-rH+GQNxYa=0h?J^Eo9Yb>RUP&z4jga8GzG;WR
z_&T@j0yc4PDl2SHVy0DdD0?q3;~FW%vaJSa665RNe!m#J<|1y6*uO&}SVH$XnDBkx
z{jEmezw&4xl_$PVE3#f^5-G0>75T0UaZRwqzH%z2*1iOoU;}-5d7OLL^)2O}3eY8I
z5E4B5b-0{O_|EjT0$gCZUMKw?@Rri=IqzEf%^Ucd<9BYQ-{GAc|2y#;cV7ow@a?>B
z36M_TuEjLDwd=YY#(f`Ou}o(-cV(d22w%Vi8ls>+k!ycU82+fR`!QkmW3CD8i-HC?
zkEf$x8C*axK_dZ&2{sUT#RSC!J~crVfxKv_Q$)o-kG5!t!{KO{D-kbA#HDB`B1TgT
zln`i)feHdF2I>e*#=txR=2%$3X|Yf#m!8H~Ens6Q4;jN3_XX6O1z2Z>HB#P(_!Y^+D`rTRYsVw-rMYq~oBWO$
z8{;8NQa*~nWgGmIrtgN~`->n<3b};QW-`k5a0q+*y9T@*Sn^2(_FDZ*Y!90-KS5pc
zDc(wyORy&aV#u_82~b1eOo9l5$pXz%?d=F`uJ=2G7Qy-_2N%3}HkoP8MbiCc|=?
zy^|~wY)KKbjubH)O#wU6Zl^#!fs$0XmjILC^Hf+TMbE--(qIlgkOt{QekM(n$d_rb
znr6-EVm6Wvb7}U+bWt}+R&da4hZX9j=M|B7v=}mQnH5ZU%L+!Kej}NhGGMu6YKRo!
zkxU%rs3D#KvhNOfOD@TDi~}iA8Y~
z^|P>h80rd0ZdJyT#~D-
z?nuz~*pUMb(y6B+vDZO6@zF*wiICjN;aU&n3g_!{p_~K`=fWZaXL4aFfykL6H>ER0
z;q0BM?&(+1lS9gm9goGCs~}d&ANAXO?0B+K-JSeU^F`wAL<*+q+0?0EjO4*Qx$MnI
zOpb+AHu{_);-I3{Uo
zqimv!mD)r-Jz*1Umu;d*@{5Gfy+yEsM4T%U1(ZHpaJpwhGa-L58x|7y`)m>Q;yGe}
z{9q0&kXj;jcrKS>GdL29U(bPXi8biZY6UA{E$H4roBr%=Z5TS{f+FcA9ror>!2NW-
zah{v2Hk9}v;)dJWa9lc1U6)8C-meBn;&5;tL`!KYI{fWcx?|lxl8Eok6Y>AUJSZTc
z(Z!-H8jD4*`B5=c5^}OwR8HD_0b1valj6vH(a0|lQVLz96WtU~Qx|1+pYg7ODIu>D
zXy^@tc^k5
zFwXZ?yOvtpVl|r`Iy}+f_m=2}sXcOSF_cJE+pwAY>{tTRB*KLmwW_->zNy1kmZ;}c
zw?DGh642w7C18?Pc>Ep_I#Y`1m!1&vDx_`CO5669ilgzz
zrDCs*mx|UFRVKP>bD2O65s+(M!zaqfpHIplOCnyE2y3~Tf;R$)1a|a4L+`4%ww~^VSW{o49;9E0;?Bl-*ECUqy)jWE
zVxCefylbr$v!k`@8bvQR9|>3RRvq<#v^w=%jX*~|eSs9rI)=!
zU7R3&jzRkd9*%%W|EXSA57n|bEqZY*NS4#}kSNi~!SV
z2s#=dggFj}PwnKF8bo2=Y!I&68inJ%jZiMFv!Ta9#r8oXWKc%#G>Y@0q6r$M4GYOM
z>dSu9n#7Ija+BH*?J^_|he+oRhmifULp0+*JH+uat63a!u4a+NpEQfgxzsFjm9_%P
zrJB`x+_QwX=h^cycWwD~tlB~clQU%g7?-|88%v^XFt54ziSt?SBVz4
zbd?C`L#v=n()a7}=pwSy^KrPbvaiqG7l;RbyGk5$3s#G4-!H+b)ja8k)~NY{%~_{>OUtLh@@p
zo=Bol7JeE#b?YGQi#CWBwRZzlOOYRNFKrmOVMy%nMDA&IBra}+Xj<6Ns^))Ok9QVR
zTnj&q_~*EuYgL1HNm^R45%Od0#0olwlq-ikU@r>NJ4aoo2BIwXSy
zZ@47`esC$&U{tG2tWKUHKJEl_m_Vi(KMoPZLp2N-fhq?#oG+{Z5rJJKf0R8&i>WFmi#Ro4KA^yb~~(<
zOvMIlH%~F)rR7SbzweLZ*V|zgiCozU9R&Wp6E+esyM&$xU9d$Oy&R8rLoF_AP!x1G
zD3QSy*CF(SgN^<@L`}&!zOVx}ksN)O$c3j1Hc2_Fxpxj$_)RG0cMCJ;b;B0oJlqXV
z7(dhl?KJ7=0jK2O%46!l6gNalM5jbpo0Je7bb}(XUBU$X*bO>be#H%K65l8BKlXr5
zA_jzh{Kf-%V$}5tr@MQhQi-_@}>`hVOdmgc`>QFMVQ+?8_q)o;7*iPEwj`MN=F#L@fc9J+{S
z?t}U1{2|G8Fyfwjwm-7{k;l9T_Z@V-Pp>wvrdauOld(&*Si1zR65KDrk0cl)P$Hgn
z7Dool$&Q+m!?pb6E^0v#6{B|xErk*^NU%eK$0YbS0wrQke4!84QbdOOtrgVcWc`#c
z%Yvu~dq~SgOc!9RWDnRh;t86SsWUj#5
z?bqxT&)N=K%XE9
zq1=Q4JTMBDF?*$^fXAH2jb`
z=Mho4O*6mM%UU#E{*n_-C4Qxhx5z>%ecMg`GH*7$$=d&zjy#
z$dqHVltZ$dUT0gMvqMyqU)0Edi*z(z7xwgA7j`~=U6UfSb^A&nF?e)3$ZPjdEE_!>
zr=hUI4Nam=7#l5>Y;$_s`aRCgouZU^jYmjA-$0K)SJSXD8>W+|o*SAOQcKBaq8NUD
zLz5&ohEXo^c6K}aJstj)SaemBlpwSjox42lK5ttK{iU+KrG+GqW!%)frW1wPKV)Ic
zjwO!$=<*hD2R(gmkF(Fa+wV|J5NXPHJb6-^v_Pzl^D}t5-2Z2>Dp$~gR!5!E
zCJ1i^hRm$v+4!;YQ`#ckLtLKgA~i*kTGz*c(PUushrsAhfzg$~=vrWOGcdXn82vRc
z`XVs;DlqywQXLKqrLrd)Q^%6t)w=mB>i&z`9Dn(zzN<|fJ9|<4nY;oIS+HXRUF7&%
zmOmF95uYU@V_CJbZiTaBi?dGzwr8Nb&ExLu@$x>%3%&lfmNyIA9WDQ+t-GU@t!IET
z+&f|!d*qJx%wswclX^Ois32SK4@syHqND06R?^3A0d?4|J+zVh$#xur@j
z+BVbUhak=o_lcoG)^W?mmtC(_GKmsZr%acW6g+(?G=XjLiHyQ7ALaH2R;R!80y7If
    l=an{GOkL_X&i8b^bYOW+5M
zN;lZ@!>STF-oV5na<()Evz_d0|z1gyBMQVE%o7};7hXB=(yGM2u+9u;@YgXcAh!XK;wGtncp6k_0N+^%s01kc_Ivr0m
zE9t<-&NVB)3dJKgj)ymlRLJ?qNi@S>oLOpLtG_TS~KUVZ_A!^8i83sC-kDXS^
Wvc)B_f5^(tY|2o)2L}c=75pz~q@bn%

delta 8325
zcmahudwi2smY$^j`byIDkv4rMrG>WimGUSEl+ZVQrxbbj1q5hlo3u@NIbxY{e<~KK
zUgRh^!00-wqFBthommI$>~D2PQ7rRYfkuV;1Oa)>%&wy|;GXZ^d}&$#*ne{FJ?Gr>
zzUSWW=Bd$y!O?`Fvs0KUHI;odrP5QJ8m2Bgue#@+ilXxmf3v`J!|WLI&sr+xI=udw
z^NSshv;JB4=HrfY6SM!i!=9WrpN(e6Filnzq_UCpXm)yf1WU_EX0y{vSxmZ#)n{&D
zPv?X)Q+5I?&PZZAGSXP@^l}!E5ydV~(-NG?YO}*wOGX0mM+Nn|?CaX?z3iEcHWr+&
zRS!DG*qLm@|D!>j5zY2wY1uP5x}RwJIxFiZ+V0jgpWV)k3>oBp@7blUQr9#QH57HlFtYoMp|Hqi~LX
z6Iu0!e6~FQ;6gdlj!HHC$WeBzlSgud9o_Osj;`ZDc_c^Hv4=)|0|9R5y54;c?8|VR
z_gH4+0n@FB@VI6c%7aMu)~t`=yyxI-k4m0;TIafejWj#SsI6>hZ3J`8jPiKrr2|bO
znR!LBCx5|ic{0^AUU-OOJ%iTcV$fLhvKWMyyvPUaRJD;=cL#gEDLo)4PnEyo<6Zoc
z80e~wiovPsU-JPAFEKLL^Ff~HYM&C6%KBr1GH5ko?tAKBPiDho0;8)kvi@Tso=ZzQ
z1h0K*AF$8tN$k_+W{P40b1iFR*V~07mzI$u*V`jK<`pDS9*nOX<^!gyit_w^^$sy<
zUmxvR)3hEa1%GJ1%vxrqc|K^Nr7bffm}!N{lh!sMChr$Uqg4m7o@;A2bBt%x`t86*
z?@eNPt?^91Y$j#yCAQNl^cy!;0!<=4y_@dmgV!C~1Y-AQfnc$nXW*RYo6a9qobd;j
z3X9GH4TqXI*@#EE{f}_-ALZ6R>Ntlz;ZO_b
zaU>iT!5D%b>Im5Mu!g{^dMF_9r5?%&WJN%=#Ebq#v_wEO4o1K%fjBA<7a|~^81<1*
zNT4nfN(rz?s3veR5@r)HM8RB{76oNu=?K1N1Pe=iP#5fYPkYZj84lu&;!Cokp)!ao
zd^ZG>6Cs6-?$Y7Q(GW!vPDYd6W2iB3u*v`{guIXN2a<=E4Uiz#o)5vJv&33<@#hAt
zi-90P`8Wg@t?^One-VVI=RuGVaseX@WR&Hh0QS}|v^efx@>vLWn|(_x59u){R$1~T
z-iQ-RuqzfK$+TUuP)XoaEDwX;2n|B*%@Ay;@i~J=&ib+us)+T!jbIZ7e2*<;0A4gg
zAoj;WG7%5Qah@x2JT?XKFo%#`@vwlv(Re5q3&XG>6Q5v)YJnFuum3X|YI0!)B!l3n7d|HkxfVLyhpfG!zdPKngB0gC1{~K}Xa(f~h_Q77M1@P#zw^
z^kE8Bo8U(G>MT
zjKaJ$2q#u+8fV>;#@+U&L6vZ{8(n6|#gQ}!z%^6BAh2${mm6sp`MtkSiNJC
zU3_8TG;Vp_G{y3MzX2Nj<1~mN11?Sj+Sr(q4l4-kNQb2aK1_!tLgQXcN~BzptE~Fa
zr0uae18Rj+PlaN)jdtQAb)e@Vxsf4j-Ji*wugQcG5;&L%^9Y>EgoOk`r}NwtP3MKP
zbGovpUqx32DLe996i#0TQ9}NZ&*me~CFqphDW7YeP`nvO!PGyWG!cwrSuk5H`&}p|
zL_rc8dO;hqPg#da*~)f)ONiZ{3p#u@n}!7@Sr!bcCc
z@Ge$l;q~-{g|m%Yc#-7fbD=x)VF`&ilg|stG=p{2U>L(0O6Jo8ky{QD*h%?kbo<@;a7w
zzD&eN=JM)4JQs>Zp_kyrN|+*u`gU0K249|~
zNE^QwQiXZ-VSN9~N<#380piH9x_QFQd9XmJTro*(|8E2EREbI#q?}4g^Px=0YM$f`
zllgvVRa0x5uVk|=43F3Pyd}DJVvk&%4~0V2Mr@FMwk?2EfpB0-mE!KpzYD`x7bxdc
zr!TVRLeSvl1)vvJxO^TFdWsOyD?BGe^pkIf6FnFKpXc#E-^b
z7V*7yzKFNB@M7Lo8;Ut{fPh%@IzCZM{(M#pX#(+vK$uIE6#UkYh-HWWJ@BrIdsEP!
zErDFI`Xsj!EhSX$gZ~jSDLi4N+*+FePnALiMc~s?-jg%Scyt_Pyfq&a;Ll}z!JKj)
zGIu#Yjek?lPxx!)%F+G_9x9*$IZ^>yG*?iM=%@gVu;rrIKtzfsRc}@(2kuuQJ={pG
zyT@*y=*A_Bd9ZdYR!+U^qV|t0hETTYT^$aY`Sn3l$*rlWR1VVbcyXuW?5nD9|K9Lc
z@|Y)9aqpU{`0Q|%vPRN~%}2r|yirX(Ah}vOS3}TN0~s94PVU!W(p0YZXVuDX3)hI=
zp)8ISK1ZT;jT{cYNZ+YmT>}-OIE@;9EC`m78i*6^Ni3{?
zGyrY25Ws8)f+u$J(OO>E*K4_}mOAcucO8@n>n!N9QL%kk2Pu@1TXp=rD6NM&VZ*&-
z8uewLY4!X@HD0guL#qgh&BoKY*~VqRV&l#D&o+L%WH<0b&e6cL_^Sq9ITspuu9BBP
ziBPj#gF6<`_8dJMdDoU-MgEm=ye4Y1eS5FJEacwWB*I3EH0bSC%(0s8pOz0
z=tQtzTgv^rwp2;&HVrOFp!0IC*MRyWev#aHAIuRFc4FajNW}~HLA(gVE?+v$%Xo`h
zxQqw%!DUb^=({y|cplm5`XpFa*3;wc@y7#yT*i;NxyyOB?-$_YayjYyS19>^`DfvII!CUhw
zu6bXE{NK2qX;OlBL0FpG3|S%@pHZ`jfG7;4OD!IWpk}eVnSb&fYE}ea^0C}*hD@>O
ziVw4>1=7d{dkg>CJlLWfR5yL}w@q}KoxUth1VrCT&DV?fwbDJ$i~rmT>j(t5fs4R)
z0j{(`H_g_p1^Uj$_t!!X0qZ(Gdu<)`Nc;gP65nix0ycUhe1Em1TpPT&Ydy3H1|xp!
z6b$&`g+Q%NsWQGgVS>2F4u&9(OxB9~{RulAd>oU4`feeEjr>Kz(~G1qjkut2a@u6F
z9#3wdUh2hnHc)kVF=iudB(QTM^a}A7E&iBH_rQ;@#Ie!8YT1JS2}Z4hFR9uDD+N=5
z7F!JyOn70j6zc2yUc9{tmXXM%?a)TxU)!OXfWg7_Jm7%!!sx|#xD%>yQLQAQvsMb7
zY;iS0FWA`7-vgACc=4spu$JU#I(RNz9k5o&SuT5LV|jN1F{hK8IlB|q6X$_Wu!DDh
z7qrr(tqbgee}f!T8zwp-R3O>~!dx!}V80V2f$iWX;3rN9qve;K&?4|X0{=@Fgb73+
z*N=BxpdrSvZtiqvH?#}#PCT}m)MfX8Rv>l>0egEC0S^hpO+t`>fAnyBn|e7o*~`V5
z-LPH+o@uc^odSRGhg5veO(&EWy>9x%@M3l!tS0aX0l|7$izBNc5woGa_5m~UvsMjYBo=g?U^wH4-=
zj;x>XWzi%m
z!Vc1M7EK%s7w!OyioXOl?c*&Iioss!GN2MoAtF2o9AxK$NP#EZo$`8((PVpX!h196Md
zw^r3OBDIyMQUu~ztI8C^HET$>qWFSHQut^evBZ^c8G1^t6GLo1>r7HPSG*YU{BygqF?*M&*#0JVH
z^x@tiFb-SGRJn5ex|XP7L{P#i?9NWRyJve*M~Bco5Xp}3j*90Q8PF@_vTbgAPrH1O
zkKubuRLQ=OD&)$p2{JUwz73ljRXX|mC(oslL9I)bD8ib6=48c{TTT_f;kZ=tA#=vX
zqjHmGKC2fss-_Ij?^e0C6Zw@ZDk=gTy~4R}Tv7RQ+K!6>zth~DvcIbk6li`TtRy-sZ3&7JVsQ5&qyOXzCSKV1R;jie-JxG
zj158#$+ElcEj{)&UQIqx$G+z2sJq7P>AJ@4+;dHpD6)0)vOh6+cq)i%_dpaIIuNa*
zu)?>hI14v6LMYj2cenWd@A0K3L=bxVx_pRKtV@TfpYFkLMpDE$VsOox!+=d#rAK0%m{6Y7Klt}$wf
zy|=H!ohv)&>T$a4J?`y3haxADCVa;eC)DwC`Pyh7gR8^&lf{Z$PMfqk{G>XTd($^y
zU~SLG440f#=Z8Hg%X5rTQ{<_2eBvKn^p8IGkG}GcF8fDU{iEyt(JlYzul~_@{?QNq
z(d|%W*f)^Go~TP2j(<<>lwVPIkEt_!<)8GPI&OG$OnpgQfd`D(wuUZp@>`ZK7cwFy
zjYr0~Y-#lpd)s<@4-aftUuTQU+1}-r`=DItH8<6Av#{J!%ipxsx74Eb^ihVpj~Ry_
zzNJ3(Xc&)44IM{RkWKdo#Flc=;nk%}>0>vSI_!on+DN`+h567ED93WXR1WM~Wi$}O
zO#c}hBZAzmU>)1|X!xu91K$0Z+QnGUJ#&)O~KCw`GJd{q<
zno22yz<8yUqbus|ZQn@MEFT#IIqdk=T$O{9W)sJ*Dk%rwTI;)z4CLXNg;FM3*3sh!
zC(h*eiGe)UcEchsyH+JlAxe0)G*wU%apXc^BDG^#Jbe*Ki9|kJEyeR2q8Lw&=eji|
zE?0@OYYSDeo%$okO-0*ANEf2==_)uCEj5ykmRW101c8phGmE9DkfN^jJ|!P6mf`}q
zx+4`*Eb$(%k){dW1iaM_Nn)Ia$JO-cD&PI~mq_xx>AFpdljrh<##Sq35_r5$GRap!
z**6js_mrOA3GQsB|5mtpW?4o&yYY{p$qa1pwiGBFwv|bV^0iPVlXw#wy%Q{tNxYDC
zqZ8zWke)Q5H4cZm=&9U`P%oJR%eu)ad6?=mMyha^`A{b8FP8!c-&HTA35QAD6#pm@
zTf0Fb`o(%Fhk$JV{y=(pbGn6C**T;;V4zPn()CXs@3e7a2$*qEnG`S~G3dU=zO}M?
z@+CuLEuw529RgHC&MwhWXq$M^(jdi%5XIs33Mpn%dahMSiGgzT`mq0_z^Qn=K{CPP
z!)F?#w*#RTO&6rtVb5~u=q9qHWkfQ>@koa@IySource code for spatialpy.solvers.solver
         SpatialPy solver object.
 
     :param model: Target model of solver simulation.
-    :type model: spatialpy.Model.Model
+    :type model: spatialpy.core.model.Model
 
     :param debug_level: Target level of debugging.
     :type debug_level: int
diff --git a/docs/build/html/classes/spatialpy.solvers.html b/docs/build/html/classes/spatialpy.solvers.html
index f20b5841..c3b84ac1 100644
--- a/docs/build/html/classes/spatialpy.solvers.html
+++ b/docs/build/html/classes/spatialpy.solvers.html
@@ -892,7 +892,7 @@ 
    Submodules
 
    Parameters
    
 
    
 
    
diff --git a/docs/build/html/searchindex.js b/docs/build/html/searchindex.js
index c7334be8..a6ef7e16 100644
--- a/docs/build/html/searchindex.js
+++ b/docs/build/html/searchindex.js
@@ -1 +1 @@
-Search.setIndex({docnames:["classes/spatialpy","classes/spatialpy.core","classes/spatialpy.solvers","classes/spatialpy.stochss","index"],envversion:{"sphinx.domains.c":2,"sphinx.domains.changeset":1,"sphinx.domains.citation":1,"sphinx.domains.cpp":4,"sphinx.domains.index":1,"sphinx.domains.javascript":2,"sphinx.domains.math":2,"sphinx.domains.python":3,"sphinx.domains.rst":2,"sphinx.domains.std":2,"sphinx.ext.todo":2,"sphinx.ext.viewcode":1,sphinx:56},filenames:["classes/spatialpy.rst","classes/spatialpy.core.rst","classes/spatialpy.solvers.rst","classes/spatialpy.stochss.rst","index.rst"],objects:{"":[[0,0,0,"-","spatialpy"]],"spatialpy.core":[[1,1,1,"","BoundaryCondition"],[1,3,1,"","BoundaryConditionError"],[1,1,1,"","DataFunction"],[1,3,1,"","DataFunctionError"],[1,1,1,"","Domain"],[1,3,1,"","DomainError"],[1,1,1,"","Geometry"],[1,1,1,"","GeometryAll"],[1,3,1,"","GeometryError"],[1,1,1,"","GeometryExterior"],[1,1,1,"","GeometryInterior"],[1,1,1,"","InitialCondition"],[1,3,1,"","InitialConditionError"],[1,1,1,"","KDTree"],[1,1,1,"","Model"],[1,3,1,"","ModelError"],[1,1,1,"","OrderedDict"],[1,1,1,"","Parameter"],[1,3,1,"","ParameterError"],[1,1,1,"","PlaceInitialCondition"],[1,1,1,"","Reaction"],[1,3,1,"","ReactionError"],[1,1,1,"","Result"],[1,3,1,"","ResultError"],[1,1,1,"","ScatterInitialCondition"],[1,3,1,"","SimulationError"],[1,3,1,"","SimulationTimeout"],[1,1,1,"","Species"],[1,3,1,"","SpeciesError"],[1,1,1,"","UniformInitialCondition"],[1,1,1,"","VTKReader"],[1,3,1,"","VTKReaderError"],[1,3,1,"","VTKReaderIOError"],[1,0,0,"-","boundarycondition"],[1,0,0,"-","cleanup"],[1,6,1,"","cleanup_build_files"],[1,6,1,"","cleanup_core_files"],[1,6,1,"","cleanup_result_files"],[1,6,1,"","cleanup_tempfiles"],[1,1,1,"","combinations"],[1,0,0,"-","datafunction"],[1,0,0,"-","domain"],[1,0,0,"-","geometry"],[1,6,1,"","init_notebook_mode"],[1,0,0,"-","initialcondition"],[1,6,1,"","iplot"],[1,0,0,"-","model"],[1,0,0,"-","parameter"],[1,0,0,"-","reaction"],[1,0,0,"-","result"],[1,0,0,"-","spatialpyerror"],[1,0,0,"-","species"],[1,0,0,"-","vtkreader"]],"spatialpy.core.BoundaryCondition":[[1,2,1,"","expression"]],"spatialpy.core.DataFunction":[[1,2,1,"","map"]],"spatialpy.core.Domain":[[1,2,1,"","add_point"],[1,2,1,"","calculate_vol"],[1,2,1,"","closest_vertex"],[1,2,1,"","compile_prep"],[1,2,1,"","coordinates"],[1,2,1,"","create_2D_domain"],[1,2,1,"","create_3D_domain"],[1,2,1,"","distance_between_2_vertices"],[1,2,1,"","fill_with_particles"],[1,2,1,"","find_boundary_points"],[1,2,1,"","find_h"],[1,2,1,"","get_bounding_box"],[1,2,1,"","get_domain_size"],[1,2,1,"","get_num_voxels"],[1,2,1,"","get_type_def"],[1,2,1,"","get_vol"],[1,2,1,"","import_meshio_object"],[1,2,1,"","plot_types"],[1,2,1,"","read_msh_file"],[1,2,1,"","read_stochss_domain"],[1,2,1,"","read_stochss_subdomain_file"],[1,2,1,"","read_xml_mesh"],[1,2,1,"","set_properties"]],"spatialpy.core.Geometry":[[1,2,1,"","inside"]],"spatialpy.core.GeometryAll":[[1,2,1,"","inside"]],"spatialpy.core.GeometryExterior":[[1,2,1,"","inside"]],"spatialpy.core.GeometryInterior":[[1,2,1,"","inside"]],"spatialpy.core.InitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.KDTree":[[1,2,1,"","count_neighbors"],[1,4,1,"","data"],[1,1,1,"","innernode"],[1,1,1,"","leafnode"],[1,4,1,"","leafsize"],[1,4,1,"","m"],[1,4,1,"","maxes"],[1,4,1,"","mins"],[1,4,1,"","n"],[1,1,1,"","node"],[1,2,1,"","query"],[1,2,1,"","query_ball_point"],[1,2,1,"","query_ball_tree"],[1,2,1,"","query_pairs"],[1,4,1,"","size"],[1,2,1,"","sparse_distance_matrix"],[1,5,1,"","tree"]],"spatialpy.core.KDTree.innernode":[[1,5,1,"","children"],[1,5,1,"","split"],[1,5,1,"","split_dim"]],"spatialpy.core.KDTree.leafnode":[[1,5,1,"","children"],[1,5,1,"","idx"]],"spatialpy.core.Model":[[1,2,1,"","add_boundary_condition"],[1,2,1,"","add_data_function"],[1,2,1,"","add_domain"],[1,2,1,"","add_initial_condition"],[1,2,1,"","add_parameter"],[1,2,1,"","add_reaction"],[1,2,1,"","add_species"],[1,2,1,"","compile_prep"],[1,2,1,"","delete_all_parameters"],[1,2,1,"","delete_all_reactions"],[1,2,1,"","delete_all_species"],[1,2,1,"","delete_parameter"],[1,2,1,"","delete_reaction"],[1,2,1,"","delete_species"],[1,2,1,"","get_all_parameters"],[1,2,1,"","get_all_reactions"],[1,2,1,"","get_all_species"],[1,2,1,"","get_num_reactions"],[1,2,1,"","get_num_species"],[1,2,1,"","get_parameter"],[1,2,1,"","get_reaction"],[1,2,1,"","get_species"],[1,4,1,"","reserved_names"],[1,2,1,"","run"],[1,2,1,"","sanitized_data_function_names"],[1,2,1,"","sanitized_parameter_names"],[1,2,1,"","sanitized_species_names"],[1,2,1,"","set_timesteps"],[1,4,1,"","special_characters"],[1,2,1,"","timespan"],[1,2,1,"","update_namespace"]],"spatialpy.core.OrderedDict":[[1,2,1,"","clear"],[1,2,1,"","copy"],[1,2,1,"","fromkeys"],[1,2,1,"","items"],[1,2,1,"","keys"],[1,2,1,"","move_to_end"],[1,2,1,"","pop"],[1,2,1,"","popitem"],[1,2,1,"","setdefault"],[1,2,1,"","update"],[1,2,1,"","values"]],"spatialpy.core.PlaceInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.Reaction":[[1,2,1,"","add_product"],[1,2,1,"","add_reactant"],[1,2,1,"","annotate"],[1,2,1,"","initialize"]],"spatialpy.core.Result":[[1,2,1,"","export_to_csv"],[1,2,1,"","get_property"],[1,2,1,"","get_species"],[1,2,1,"","get_timespan"],[1,2,1,"","plot_property"],[1,2,1,"","plot_species"],[1,2,1,"","read_step"]],"spatialpy.core.ScatterInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.Species":[[1,2,1,"","set_diffusion_coefficient"]],"spatialpy.core.UniformInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.VTKReader":[[1,2,1,"","get_array_name"],[1,2,1,"","get_arrays"],[1,2,1,"","get_num_points"],[1,2,1,"","get_points"],[1,2,1,"","read_file"],[1,2,1,"","set_filename"]],"spatialpy.core.boundarycondition":[[1,1,1,"","BoundaryCondition"]],"spatialpy.core.boundarycondition.BoundaryCondition":[[1,2,1,"","expression"]],"spatialpy.core.cleanup":[[1,6,1,"","cleanup_build_files"],[1,6,1,"","cleanup_core_files"],[1,6,1,"","cleanup_result_files"],[1,6,1,"","cleanup_tempfiles"]],"spatialpy.core.datafunction":[[1,1,1,"","DataFunction"]],"spatialpy.core.datafunction.DataFunction":[[1,2,1,"","map"]],"spatialpy.core.domain":[[1,1,1,"","Domain"]],"spatialpy.core.domain.Domain":[[1,2,1,"","add_point"],[1,2,1,"","calculate_vol"],[1,2,1,"","closest_vertex"],[1,2,1,"","compile_prep"],[1,2,1,"","coordinates"],[1,2,1,"","create_2D_domain"],[1,2,1,"","create_3D_domain"],[1,2,1,"","distance_between_2_vertices"],[1,2,1,"","fill_with_particles"],[1,2,1,"","find_boundary_points"],[1,2,1,"","find_h"],[1,2,1,"","get_bounding_box"],[1,2,1,"","get_domain_size"],[1,2,1,"","get_num_voxels"],[1,2,1,"","get_type_def"],[1,2,1,"","get_vol"],[1,2,1,"","import_meshio_object"],[1,2,1,"","plot_types"],[1,2,1,"","read_msh_file"],[1,2,1,"","read_stochss_domain"],[1,2,1,"","read_stochss_subdomain_file"],[1,2,1,"","read_xml_mesh"],[1,2,1,"","set_properties"]],"spatialpy.core.geometry":[[1,1,1,"","Geometry"],[1,1,1,"","GeometryAll"],[1,1,1,"","GeometryExterior"],[1,1,1,"","GeometryInterior"]],"spatialpy.core.geometry.Geometry":[[1,2,1,"","inside"]],"spatialpy.core.geometry.GeometryAll":[[1,2,1,"","inside"]],"spatialpy.core.geometry.GeometryExterior":[[1,2,1,"","inside"]],"spatialpy.core.geometry.GeometryInterior":[[1,2,1,"","inside"]],"spatialpy.core.initialcondition":[[1,1,1,"","InitialCondition"],[1,1,1,"","PlaceInitialCondition"],[1,1,1,"","ScatterInitialCondition"],[1,1,1,"","UniformInitialCondition"]],"spatialpy.core.initialcondition.InitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.initialcondition.PlaceInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.initialcondition.ScatterInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.initialcondition.UniformInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.model":[[1,1,1,"","Model"],[1,6,1,"","export_StochSS"]],"spatialpy.core.model.Model":[[1,2,1,"","add_boundary_condition"],[1,2,1,"","add_data_function"],[1,2,1,"","add_domain"],[1,2,1,"","add_initial_condition"],[1,2,1,"","add_parameter"],[1,2,1,"","add_reaction"],[1,2,1,"","add_species"],[1,2,1,"","compile_prep"],[1,2,1,"","delete_all_parameters"],[1,2,1,"","delete_all_reactions"],[1,2,1,"","delete_all_species"],[1,2,1,"","delete_parameter"],[1,2,1,"","delete_reaction"],[1,2,1,"","delete_species"],[1,2,1,"","get_all_parameters"],[1,2,1,"","get_all_reactions"],[1,2,1,"","get_all_species"],[1,2,1,"","get_num_reactions"],[1,2,1,"","get_num_species"],[1,2,1,"","get_parameter"],[1,2,1,"","get_reaction"],[1,2,1,"","get_species"],[1,4,1,"","reserved_names"],[1,2,1,"","run"],[1,2,1,"","sanitized_data_function_names"],[1,2,1,"","sanitized_parameter_names"],[1,2,1,"","sanitized_species_names"],[1,2,1,"","set_timesteps"],[1,4,1,"","special_characters"],[1,2,1,"","timespan"],[1,2,1,"","update_namespace"]],"spatialpy.core.parameter":[[1,1,1,"","Parameter"]],"spatialpy.core.reaction":[[1,1,1,"","Reaction"]],"spatialpy.core.reaction.Reaction":[[1,2,1,"","add_product"],[1,2,1,"","add_reactant"],[1,2,1,"","annotate"],[1,2,1,"","initialize"]],"spatialpy.core.result":[[1,1,1,"","Result"]],"spatialpy.core.result.Result":[[1,2,1,"","export_to_csv"],[1,2,1,"","get_property"],[1,2,1,"","get_species"],[1,2,1,"","get_timespan"],[1,2,1,"","plot_property"],[1,2,1,"","plot_species"],[1,2,1,"","read_step"]],"spatialpy.core.spatialpyerror":[[1,3,1,"","BoundaryConditionError"],[1,3,1,"","DataFunctionError"],[1,3,1,"","DomainError"],[1,3,1,"","GeometryError"],[1,3,1,"","InitialConditionError"],[1,3,1,"","ModelError"],[1,3,1,"","ParameterError"],[1,3,1,"","ReactionError"],[1,3,1,"","ResultError"],[1,3,1,"","SimulationError"],[1,3,1,"","SimulationTimeout"],[1,3,1,"","SpeciesError"],[1,3,1,"","VTKReaderError"],[1,3,1,"","VTKReaderIOError"]],"spatialpy.core.species":[[1,1,1,"","Species"]],"spatialpy.core.species.Species":[[1,2,1,"","set_diffusion_coefficient"]],"spatialpy.core.vtkreader":[[1,1,1,"","VTKReader"]],"spatialpy.core.vtkreader.VTKReader":[[1,2,1,"","get_array_name"],[1,2,1,"","get_arrays"],[1,2,1,"","get_num_points"],[1,2,1,"","get_points"],[1,2,1,"","read_file"],[1,2,1,"","set_filename"]],"spatialpy.solvers":[[2,0,0,"-","build_expression"],[2,0,0,"-","solver"]],"spatialpy.solvers.build_expression":[[2,1,1,"","BuildExpression"],[2,1,1,"","CppConverter"],[2,1,1,"","ExpressionConverter"],[2,1,1,"","ExpressionResults"],[2,1,1,"","PythonConverter"]],"spatialpy.solvers.build_expression.BuildExpression":[[2,1,1,"","ValidationVisitor"],[2,2,1,"","getexpr_cpp"],[2,2,1,"","getexpr_python"],[2,2,1,"","map_operator"],[2,4,1,"","operator_map"],[2,2,1,"","validate"],[2,2,1,"","with_blacklist"],[2,2,1,"","with_namespace"]],"spatialpy.solvers.build_expression.BuildExpression.ValidationVisitor":[[2,2,1,"","visit_Assign"],[2,2,1,"","visit_BinOp"],[2,2,1,"","visit_BoolOp"],[2,2,1,"","visit_Call"],[2,2,1,"","visit_Compare"],[2,2,1,"","visit_Name"],[2,2,1,"","visit_UnaryOp"]],"spatialpy.solvers.build_expression.CppConverter":[[2,1,1,"","CppExpressionTransformer"],[2,2,1,"","get_str"],[2,2,1,"","visit_And"],[2,2,1,"","visit_Or"]],"spatialpy.solvers.build_expression.CppConverter.CppExpressionTransformer":[[2,2,1,"","visit_BinOp"]],"spatialpy.solvers.build_expression.ExpressionConverter":[[2,2,1,"","convert_str"],[2,2,1,"","get_str"],[2,2,1,"","parse_comparison"],[2,2,1,"","parse_logical"],[2,2,1,"","parse_operator"],[2,2,1,"","visit_Add"],[2,2,1,"","visit_BinOp"],[2,2,1,"","visit_BoolOp"],[2,2,1,"","visit_Bytes"],[2,2,1,"","visit_Call"],[2,2,1,"","visit_Compare"],[2,2,1,"","visit_Constant"],[2,2,1,"","visit_Div"],[2,2,1,"","visit_Ellipsis"],[2,2,1,"","visit_Eq"],[2,2,1,"","visit_Gt"],[2,2,1,"","visit_GtE"],[2,2,1,"","visit_Lt"],[2,2,1,"","visit_LtE"],[2,2,1,"","visit_Mult"],[2,2,1,"","visit_Name"],[2,2,1,"","visit_NameConstant"],[2,2,1,"","visit_NotEq"],[2,2,1,"","visit_Num"],[2,2,1,"","visit_Pow"],[2,2,1,"","visit_Str"],[2,2,1,"","visit_Sub"],[2,2,1,"","visit_USub"],[2,2,1,"","visit_UnaryOp"]],"spatialpy.solvers.build_expression.PythonConverter":[[2,2,1,"","visit_And"],[2,2,1,"","visit_Or"]],"spatialpy.solvers.solver":[[2,1,1,"","Solver"]],"spatialpy.solvers.solver.Solver":[[2,2,1,"","compile"],[2,2,1,"","run"]],"spatialpy.stochss":[[3,0,0,"-","stochss_export"]],"spatialpy.stochss.stochss_export":[[3,6,1,"","export"]],spatialpy:[[1,0,0,"-","core"],[2,0,0,"-","solvers"],[3,0,0,"-","stochss"]]},objnames:{"0":["py","module","Python module"],"1":["py","class","Python class"],"2":["py","method","Python method"],"3":["py","exception","Python exception"],"4":["py","attribute","Python attribute"],"5":["py","property","Python property"],"6":["py","function","Python function"]},objtypes:{"0":"py:module","1":"py:class","2":"py:method","3":"py:exception","4":"py:attribute","5":"py:property","6":"py:function"},terms:{"0":[1,2],"0012333":1,"04":1,"0511773":1,"1":[1,2],"10":1,"11":1,"12295571":1,"13":1,"14":1,"15":1,"168474926":1,"19":1,"1993":1,"1993apj":1,"1999":1,"1d":1,"2":1,"20":1,"2000":1,"2002":1,"2003mnra":1,"2005":1,"2015":1,"2019":[0,1,2,3],"2022":[0,1,2,3],"2236068":1,"2333084":1,"23606798":1,"24617575":1,"26836782":1,"28942611":1,"29571802":1,"2d":1,"2df":1,"2r01eb014877":4,"3":[0,1,2,3,4],"300":1,"30088013":1,"31994999":1,"32580855":1,"33630734":1,"346":1,"37327919":1,"39923701":1,"3d":[1,4],"4":1,"412":1,"5":1,"500":1,"55396483":1,"5647":1,"56906522":1,"57714465":1,"6":1,"600":1,"6395831":1,"6473269":1,"64l":1,"7":1,"71124834":1,"7225693":1,"72658602":1,"75679479":1,"78h":1,"79428925":1,"8":1,"800":1,"80622577":1,"8658745":1,"87665969":1,"9":1,"90785663":1,"abstract":[1,2],"byte":2,"case":1,"class":[1,2],"default":1,"do":1,"export":[1,3],"float":1,"function":[1,2],"import":1,"int":[1,2],"long":1,"new":[1,2],"public":[0,1,2,3,4],"return":[1,2,3],"short":4,"static":[1,4],"super":2,"switch":1,"true":[1,2,3],A:[0,1,2,3,4],And:2,As:1,By:[1,2],FOR:[0,1,2,3],For:[1,4],If:[0,1,2,3,4],In:1,It:1,No:1,Not:2,Or:2,The:[1,2,4],To:1,Will:1,ab:1,abl:1,about:1,abov:1,absolut:1,acceler:1,accept:2,across:1,action:1,actual:1,ad:[1,2],adapt:1,add:[1,2],add_boundary_condit:1,add_data_funct:1,add_domain:1,add_initial_condit:1,add_paramet:1,add_point:1,add_product:1,add_react:1,add_speci:1,addit:[1,2],addition:[1,2],addtion:[1,2],adsab:1,advect:[0,1,2,3,4],against:[1,2],al:1,algorithm:[1,4],align:1,all:[1,2],allow:2,along:[0,1,2,3],alreadi:1,also:[1,2,4],alwai:[1,2],amount:1,an:[1,2,4],analysi:1,angular:1,ani:[0,1,2,3,4],anim:1,animation_attribut:1,animation_opt:1,annot:1,append:2,appli:1,approxim:1,ar:[1,2],argument:1,around:1,arrai:1,arraid:1,array_lik:1,articl:4,artifici:1,arxiv:1,asarrai:1,ascii:1,assembl:1,assign:[1,2],associ:1,assum:2,ast:2,astro:1,astronom:1,astrophys:1,attempt:1,attribut:1,author:4,auto_plai:1,automat:[1,2],autorang:1,avail:[1,2,4],averag:1,axi:1,background:1,balanced_tre:1,bare:2,base:[1,2,4],basic:1,bass:1,becaus:1,becom:1,been:1,befor:1,begin:1,behavior:[1,2],below:1,between:[1,2],bia:1,bin:1,binari:1,binboolopop:2,binop:2,biochem:1,bitand:2,bitor:2,bitxor:2,blacklist:2,blob:1,blue:1,bodi:1,bogu:1,bool:[1,2,3],boolop:2,both:4,bottom:1,bound:1,bound_cond:1,boundari:1,boundarycondit:0,boundaryconditionerror:1,box:1,boxsiz:1,bracket:1,branch:1,brian:4,broadcast:1,browser:1,brute:1,bugn:1,build:[1,2,4],build_dir:1,build_express:0,buildexpress:2,built:[1,2],bulk:1,bupu:1,bvf_phi:1,c0:1,c:[0,1,2,3],c_:1,calcul:1,calculate_vol:1,call:[1,2],can:[0,1,2,3,4],caus:[1,2],cdn:1,cell:1,charact:1,chart:1,check:[1,2],chemic:1,children:1,choos:1,chosen:1,circumradiu:1,ckdtree:1,ckdtree_nod:1,ckdtreenod:1,classmethod:[1,2],cleanup:0,cleanup_build_fil:1,cleanup_core_fil:1,cleanup_result_fil:1,cleanup_tempfil:1,clear:1,close:1,closest:1,closest_vertex:1,cloud:1,cluster:1,code:4,coeffic:1,coeffici:1,collabor:1,colormap:1,column:1,com:[1,4],combin:1,compact:1,compact_nod:1,compar:[1,2],comparison:2,compil:[1,2],compile_prep:1,compos:1,comput:1,conain:1,conatain:1,concentr:1,condit:[1,2],config:1,connect:1,connolli:1,consid:1,consol:2,constant:[1,2],construct:1,constructor:2,constuct:1,contact:4,contain:[1,2],content:4,context:2,contian:1,contigu:1,continu:4,convers:2,convert:[1,2,3],convert_str:2,convet:2,coo_matrix:1,coodin:1,coordin:1,copi:[0,1,2,3],copy_data:1,copy_numb:1,copyright:[0,1,2,3],core:[0,3,4],corner:1,correl:1,correspond:[1,2],corrupt:1,cosmolog:1,could:[1,2],count:1,count_neighbor:1,coupl:1,cppconvert:2,cppexpressiontransform:2,cpu:1,cradded:1,creat:[1,2],create_2d_domain:1,create_3d_domain:1,csv:1,cumul:1,current:[1,2],custom:1,cylind:4,d:1,data:[1,2],data_funct:1,datafunct:0,datafunctionerror:1,dd:1,debug:[1,2],debug_level:[1,2],debugg:2,decreas:1,default_rng:1,defer:1,defin:[1,2],definit:1,degener:1,delete_all_paramet:1,delete_all_react:1,delete_all_speci:1,delete_paramet:1,delete_react:1,delete_speci:1,deltai:1,deltax:1,deltaz:1,demo:4,densiti:1,depend:1,dependency_graph:1,deprec:1,describ:[1,4],descript:1,detail:[0,1,2,3],determinist:[0,1,2,3,4],determinst:1,develop:[0,1,2,3,4],diamet:1,dict:[1,2,3],dictionari:[1,2],differ:[1,2],diffus:[0,1,2,3,4],diffusion_coeffici:1,dimens:1,dimension:1,direct:1,directli:[1,4],directori:1,discuss:1,displai:1,dissip:4,distanc:1,distance_between_2_vertic:1,distance_matrix:1,distance_upper_bound:1,distribut:[0,1,2,3],div:2,doe:1,doesn:1,dok_matrix:1,dolfin:1,dom:1,domain:[0,4],domainerror:1,domn:1,doubl:1,download:1,dr:4,draw:1,drawert:4,drawn:1,dtype:1,dual:1,duplic:2,durat:1,dure:[1,2],dynam:4,e:1,each:1,edg:1,edit:1,edu:1,effect:1,effici:1,either:1,element:1,ellipsi:2,els:[1,3],embed:4,empti:2,end:1,engin:1,ensur:[1,2],enterpris:1,entir:1,entireti:1,ep:1,eq:2,equival:2,error:1,estim:1,et:1,euclidean:1,evalu:1,evaul:1,even:[0,1,2,3],evenli:1,exampl:1,exce:1,exceed:2,except:1,execut:[1,2],exist:1,expect:[1,2],expens:1,explor:1,export_stochss:1,export_to_csv:1,expres:2,express:[1,2],expressionconvert:2,expressionresult:2,extens:1,extra:1,f:1,f_durat:1,fail:2,fals:[1,2,3],far:2,faster:1,featur:4,fenic:1,field:1,fifo:1,figsiz:1,figur:1,figure_or_data:1,file:[1,3],filenam:[1,3],fill:[1,4],fill_with_particl:1,find:[1,4],find_boundary_point:1,find_h:1,finit:1,first:[1,2],fit:[0,1,2,3],fix:1,flag:[1,2],flatten:1,flight:2,floordiv:2,flow:4,fluid:[1,4],folder_nam:1,follow:[1,2],forc:1,form:[1,4],format:1,forward:2,found:[1,2,4],foundat:[0,1,2,3],frac:1,fraction:1,frame:[1,4],free:[0,1,2,3],frequenc:1,from:[1,2],fromkei:1,fund:4,further:1,furthest:1,g:1,gain:1,galaxi:1,gdbgui:2,gener:[0,1,2,3,4],geometr:1,geometri:0,geometry_ivar:1,geometryal:1,geometryerror:1,geometryexterior:1,geometryinterior:1,get:[1,2],get_all_paramet:1,get_all_react:1,get_all_speci:1,get_arrai:1,get_array_nam:1,get_bounding_box:1,get_domain_s:1,get_num_point:1,get_num_react:1,get_num_speci:1,get_num_voxel:1,get_paramet:1,get_point:1,get_properti:1,get_react:1,get_speci:1,get_str:2,get_timespan:1,get_type_def:1,get_vol:1,getexpr_:2,getexpr_cpp:2,getexpr_python:2,github:[1,4],give:1,given:[1,2],gmsh:1,gnbu:1,gnu:[0,1,2,3,4],gprof:2,grai:1,grant:4,granular:2,graph:1,graph_obj:1,graph_refer:1,graviti:[1,4],greater:1,greatest:1,green:1,grei:1,gt:2,gte:2,guarante:1,h:1,ha:[1,4],hand:2,handl:2,happen:2,harvard:1,hasn:[1,2],have:[0,1,2,3],hawkin:1,height:1,held:1,help:1,here:[1,4],high:1,higher:1,highest:1,hit:1,hope:[0,1,2,3],how:[1,2,4],http:[0,1,2,3,4],hybrid:4,hyperrectangl:1,i:1,id:1,idea:1,ideal:2,idempot:1,identifi:[1,2],idx:1,ignor:1,ii:1,imag:1,image_height:1,image_width:1,immobil:1,implemenet:1,implement:[1,2],impli:[0,1,2,3],import_meshio_object:1,imposs:2,inch:1,incid:1,includ:1,included_types_list:1,incompat:1,increas:1,increment:2,indec:1,indeci:1,index:[1,4],indic:[1,2],indici:1,inf:1,infer:2,infin:1,infinit:1,info:1,inform:[1,2,4],inherit:2,init_cond:1,init_notebook_mod:1,initailcondit:1,initi:1,initialcondit:0,initialconditionerror:1,inlin:1,innernod:1,input:1,insert:1,insid:1,instanc:[1,2],instead:1,integ:1,intend:4,intern:1,internet:1,interv:1,invalid:[1,2],invalid_:2,invalid_nam:2,invalid_oper:2,io:1,iplot:1,ipython:1,is_valid:2,issuecom:1,item:[1,2],iter:1,its:1,j:1,jacob:4,jet:1,job:1,journal:1,jpeg:1,js:1,json:1,jupyt:1,k:1,kd:1,kd_tree1:1,kd_tree2:1,kd_tree:1,kdtree:1,kei:[1,2],keyerror:1,keyword:1,kill:1,kth:1,kwarg:1,l_i:1,lack:1,lagrangian:4,landi:1,larg:1,larger:1,last:[1,2],later:[1,2],latest:4,layout:1,leafnod:1,leafsiz:1,learn:1,leav:1,left:2,legaci:1,len:1,length:1,less:1,level:[1,2],li:4,librari:1,licens:[0,1,2,3,4],lifo:1,like:1,limit:1,linearli:1,link:1,link_text:1,list:[1,2],listofparamet:1,listofreact:1,listofspeci:1,listoftyp:1,load:1,local:1,locat:1,logic:2,longer:1,look:1,lookup:1,loos:1,lower:1,lowest:1,lshift:2,lt:2,lte:2,ly:1,m:1,mai:1,main:4,make:1,manag:2,maneewongvatana:1,manhattan:1,mani:[1,2],map:[1,2],map_oper:2,margin:1,mark:1,markers:1,mass:1,master:1,mathemat:[1,2],matmult:2,matplotlib:1,matrix:1,matter:1,max:1,max_dist:1,maximum:[1,2],mean:1,measur:1,median:1,meet:1,megabyt:1,merchant:[0,1,2,3],mesh:1,mesh_obj:1,meshio:1,messag:1,meta:1,method:[1,2],mgrid:1,midpoint:1,min:1,mine:1,minim:1,minimum:1,minkowski:1,miss:1,mod:2,model:[0,2,3,4],modelerror:1,modelname_mesh:1,modelname_species_:1,modifi:[0,1,2,3],modul:4,monthli:1,moor:1,more:[0,1,2,3,4],most:[1,2],mount:1,move:1,move_to_end:1,movement:1,msh:1,much:1,mult:2,multi:1,multipl:[1,2],must:1,n:1,n_i:1,naiv:1,name:[1,2],nameconst:2,namespac:[1,2],ndarrai:1,ndarri:1,nearbi:1,nearby_point:1,nearer:1,nearest:1,necessari:1,need:[1,4],neg:1,neighbor:1,neighbour:1,nih:4,node:[1,2],nodetransform:2,nodevisitor:2,non:1,none:[1,2,3],nonneg:1,norm:1,notat:1,note:[1,2],notebook:[1,4],noteq:2,notic:1,np:1,nsm:4,nu:1,num:2,num_step:1,number:[1,2],number_of_thread:[1,2],number_of_trajectori:[1,2],numpi:1,numpoint:1,nx:1,ny:1,nz:1,o:1,obj:1,object:[1,2],occur:1,od:1,off:1,offlin:1,og:1,omit:1,on_boundari:1,one:[1,2],onli:[1,2],onlin:1,open:1,oper:[1,2],operator_map:2,optim:1,option:1,orang:1,order:1,ordereddict:1,org:[0,1,2,3],origin:2,orrd:1,other:[1,2],otherwis:[1,2],our:[1,4],out:[1,4],outdat:1,output:[1,2],output_interv:1,output_typ:1,outsid:1,over:1,overflow:1,overrid:2,overridden:1,p0:1,p:1,p_ndx:1,packag:4,page:[1,4],pair:1,parallel:1,param:1,param_nam:1,param_obj:1,paramet:[0,2,3],parametererror:1,paramt:1,parent:1,pars:2,parse_comparison:2,parse_log:2,parse_oper:2,part:1,partcil:1,particip:1,particl:[1,4],particular:[0,1,2,3],pass:[1,2],path:[1,3],pdf:1,peculiar:1,per:1,perform:1,petzold:4,ph:1,physic:4,pii:4,pixel:1,place:1,placeinitialcondit:1,platform:1,pleas:[1,4],plot:1,plot_imag:1,plot_properti:1,plot_speci:1,plot_typ:1,plotli:1,plotly3:1,plt:1,pname:1,png:1,point:1,points1:1,points2:1,pop:[1,2],popitem:1,popul:1,posit:1,positon:1,pow:2,pre:2,predict:1,preper:1,present:[1,2],pressur:1,print:[1,2],problem:[0,1,2,3,4],process:[1,2],processor:1,produc:1,product:1,profil:[1,2],program:[0,1,2,3],project:4,propens:1,propensity_funct:1,properli:1,properti:[1,2],property_nam:1,proprti:1,protect:1,prove:4,provid:[1,2,4],prune:1,publish:[0,1,2,3],pubu:1,pubugn:1,pull:1,purd:1,purpl:1,purpos:[0,1,2,3],put:1,px:1,py:1,pypi:4,pyplot:1,python:[0,1,2,3,4],pythonconvert:2,pyurdm:4,quantifi:1,queri:1,query_ball_point:1,query_ball_tre:1,query_pair:1,question:4,quick:1,r:1,radii:1,radiu:1,rais:[1,2],random:[1,2],randomli:1,rang:1,rapidli:1,rate:1,rather:1,ratio:1,ravel:1,raw:1,rdme:4,rdpu:1,re:1,reac:1,reach:1,react_nam:1,react_obj:1,reactant:1,reaction:[0,2,3,4],reactionerror:1,read:1,read_fil:1,read_msh_fil:1,read_step:1,read_stochss_domain:1,read_stochss_subdomain_fil:1,read_xml_mesh:1,reader:1,real:1,receiv:[0,1,2,3],recent:[1,2],record:1,red:1,redistribut:[0,1,2,3],redshift:1,refer:1,referenc:1,regardless:1,region:1,regist:4,registr:4,reject:2,rememb:1,remov:1,replac:4,repres:1,represent:[1,2],request:1,requir:1,reserved_nam:1,resolut:1,restrict:1,restrict_to:1,result:[0,2],result_dir:1,resulterror:1,retreiv:1,retriev:1,return_length:1,return_plotly_figur:1,return_sort:1,return_stochss_model:[1,3],rho0:1,rho:1,right:[1,2],rname:1,rng:1,robust:1,royal:1,rshift:2,rtype:2,rule:1,run:[1,2],rvalu:2,s0021999118307101:4,s:[1,4],same:1,sampl:1,sanit:2,sanitized_data_function_nam:1,sanitized_parameter_nam:1,sanitized_species_nam:1,save:1,scalar:1,scale:1,scatter:1,scatterinitialcondit:1,schedul:1,scheme:1,scienc:[1,4],sciencedirect:4,scipi:1,sdm:1,sdpd:[1,4],search:[1,4],second:[1,2],section:1,see:[0,1,2,3,4],seed:[1,2],self:[1,2],sens:1,sep:1,separ:1,sequenc:1,seri:[1,2],set:[1,2],set_diffusion_coeffici:1,set_filenam:1,set_properti:1,set_timestep:1,setdefault:1,setter:1,shall:1,shallow:1,shape:1,sheth:1,should:[0,1,2,3],show:1,show_link:1,shrink:1,signal:1,significantli:1,similar:1,simlat:1,simplifi:1,simul:[0,1,2,3,4],simulationerror:[1,2],simulationtimeout:[1,2],sinc:1,singl:[1,2],size:1,skibba:1,sky:1,slide:1,slightli:1,small:1,smaller:1,smdl:1,smooth:4,sname:1,so:[1,2],societi:1,softwar:[0,1,2,3,4],solver:[0,1,4],some:1,sort:1,sound:1,sourc:[1,2,3,4],space:1,spactialpi:2,span:1,spars:1,sparse_distance_matrix:1,spatial:[0,1,2,3,4],spatialpy_build:1,spatialpy_model:1,spatialpy_result:1,spatialpyerror:0,spatialpysolv:1,speci:0,special_charact:1,species_nam:1,species_object:1,specieserror:1,specif:1,specifi:1,speed:1,split:1,split_dim:1,squeez:1,src:1,ssa:1,sssa:4,start:[1,2,4],statement:2,statist:1,step:1,step_num:1,stochast:[0,1,2,3,4],stochss:[0,1,4],stochss_export:0,stoichiometr:1,stoichiometri:1,str:[1,2,3],string:[1,2],struct:2,structur:1,style:1,sub:2,subclass:[1,2],subdomain:1,submodul:0,subpackag:4,substanti:1,substitut:2,success:1,suggest:4,sum:1,suppli:1,support:[1,4],sure:1,survei:1,svg:1,symbol:2,syntax:2,syntaxerror:2,system:[1,4],szalai:1,t:[1,2],t_durat:1,t_ndx:1,t_ndx_list:1,t_val:1,tag:1,take:1,target:[1,2],tempfil:1,term:[0,1,2,3],tetrahedron:1,text:1,th:1,than:1,them:1,thi:[0,1,2,3,4],thin:1,those:1,though:1,thread:[1,2],time:[1,2],time_span:1,timeout:[1,2],timepoint:1,timespan:1,timestep:1,timestep_s:1,titl:1,toarrai:1,token:2,topolog:1,toroid:1,total:1,toth:1,trace:1,tracker:4,trajectori:[1,2],transit:1,travers:1,tree:[1,2],triangl:1,trigger:2,tspan:1,tupl:1,two:[1,2],txt:1,type:[1,2,3],type_id:1,u0:1,unabl:1,unaryop:2,under:[0,1,2,3,4],uniform:1,uniforminitialcondit:1,union:1,univers:[1,2],unless:1,unnecessari:1,unsqueez:1,unweight:1,up:1,updat:1,update_namespac:1,upload:1,upon:1,upper:1,urdm:1,us:[0,1,2,3,4],use_matplotlib:1,user:[1,4],usual:1,usub:2,util:1,v1:1,v:1,valid:[1,2],validationvisitor:2,valu:[1,2],valueerror:1,vari:1,varianc:1,veloc:1,verbos:2,version:[0,1,2,3,4],vertex:1,vertic:1,view:1,viewer:1,viscos:1,visit:2,visit_add:2,visit_and:2,visit_assign:2,visit_binop:2,visit_boolop:2,visit_byt:2,visit_cal:2,visit_compar:2,visit_const:2,visit_div:2,visit_ellipsi:2,visit_eq:2,visit_gt:2,visit_lt:2,visit_mult:2,visit_nam:2,visit_nameconst:2,visit_noteq:2,visit_num:2,visit_or:2,visit_pow:2,visit_str:2,visit_sub:2,visit_unaryop:2,visit_usub:2,visitor:2,vol:1,volum:1,voxel:1,vtk:1,vtkreader:0,vtkreadererror:1,vtkreaderioerror:1,wa:1,want:1,warranti:[0,1,2,3],we:[1,4],web:1,webp:1,weight:1,weir:4,well:2,were:[1,2],what:2,when:[1,2],where:1,whether:[1,2,3],which:[1,2],whose:1,wide:1,width:1,with_blacklist:2,with_namespac:2,within:1,without:[0,1,2,3],work:1,worker:1,wp:1,wrap:1,write:1,write_imag:1,written:1,www:[0,1,2,3,4],x1:1,x2:1,x:1,x_i:1,xaxi:1,xi:1,xk:1,xlim:1,xmax:1,xmin:1,xml:1,y:1,yaxi:1,yet:1,yi:4,ylgn:1,ylgnbu:1,ylim:1,ylorbr:1,ylorrd:1,ymax:1,ymin:1,you:[0,1,2,3,4],your:[1,4],z:1,zero:1,zeroth:1,zlim:1,zmax:1,zmin:1},titles:["spatialpy package","spatialpy.core package","spatialpy.solvers package","spatialpy.stochss package","Documentation for SpatialPy 1.0"],titleterms:{"0":4,"1":4,api:4,boundarycondit:1,build_express:2,cleanup:1,content:[0,1,2,3],copi:4,core:1,datafunct:1,document:4,domain:1,exampl:4,geometri:1,get:4,indic:4,initialcondit:1,issu:4,model:1,modul:[0,1,2,3],packag:[0,1,2,3],paramet:1,reaction:1,refer:4,report:4,result:1,solver:2,spatialpi:[0,1,2,3,4],spatialpyerror:1,speci:1,stochss:3,stochss_export:3,submodul:[1,2,3],subpackag:0,tabl:4,vtkreader:1}})
\ No newline at end of file
+Search.setIndex({docnames:["classes/spatialpy","classes/spatialpy.core","classes/spatialpy.solvers","classes/spatialpy.stochss","index"],envversion:{"sphinx.domains.c":2,"sphinx.domains.changeset":1,"sphinx.domains.citation":1,"sphinx.domains.cpp":4,"sphinx.domains.index":1,"sphinx.domains.javascript":2,"sphinx.domains.math":2,"sphinx.domains.python":3,"sphinx.domains.rst":2,"sphinx.domains.std":2,"sphinx.ext.todo":2,"sphinx.ext.viewcode":1,sphinx:56},filenames:["classes/spatialpy.rst","classes/spatialpy.core.rst","classes/spatialpy.solvers.rst","classes/spatialpy.stochss.rst","index.rst"],objects:{"":[[0,0,0,"-","spatialpy"]],"spatialpy.core":[[1,1,1,"","BoundaryCondition"],[1,3,1,"","BoundaryConditionError"],[1,1,1,"","DataFunction"],[1,3,1,"","DataFunctionError"],[1,1,1,"","Domain"],[1,3,1,"","DomainError"],[1,1,1,"","Geometry"],[1,1,1,"","GeometryAll"],[1,3,1,"","GeometryError"],[1,1,1,"","GeometryExterior"],[1,1,1,"","GeometryInterior"],[1,1,1,"","InitialCondition"],[1,3,1,"","InitialConditionError"],[1,1,1,"","KDTree"],[1,1,1,"","Model"],[1,3,1,"","ModelError"],[1,1,1,"","OrderedDict"],[1,1,1,"","Parameter"],[1,3,1,"","ParameterError"],[1,1,1,"","PlaceInitialCondition"],[1,1,1,"","Reaction"],[1,3,1,"","ReactionError"],[1,1,1,"","Result"],[1,3,1,"","ResultError"],[1,1,1,"","ScatterInitialCondition"],[1,3,1,"","SimulationError"],[1,3,1,"","SimulationTimeout"],[1,1,1,"","Species"],[1,3,1,"","SpeciesError"],[1,1,1,"","UniformInitialCondition"],[1,1,1,"","VTKReader"],[1,3,1,"","VTKReaderError"],[1,3,1,"","VTKReaderIOError"],[1,0,0,"-","boundarycondition"],[1,0,0,"-","cleanup"],[1,6,1,"","cleanup_build_files"],[1,6,1,"","cleanup_core_files"],[1,6,1,"","cleanup_result_files"],[1,6,1,"","cleanup_tempfiles"],[1,1,1,"","combinations"],[1,0,0,"-","datafunction"],[1,0,0,"-","domain"],[1,0,0,"-","geometry"],[1,6,1,"","init_notebook_mode"],[1,0,0,"-","initialcondition"],[1,6,1,"","iplot"],[1,0,0,"-","model"],[1,0,0,"-","parameter"],[1,0,0,"-","reaction"],[1,0,0,"-","result"],[1,0,0,"-","spatialpyerror"],[1,0,0,"-","species"],[1,0,0,"-","vtkreader"]],"spatialpy.core.BoundaryCondition":[[1,2,1,"","expression"]],"spatialpy.core.DataFunction":[[1,2,1,"","map"]],"spatialpy.core.Domain":[[1,2,1,"","add_point"],[1,2,1,"","calculate_vol"],[1,2,1,"","closest_vertex"],[1,2,1,"","compile_prep"],[1,2,1,"","coordinates"],[1,2,1,"","create_2D_domain"],[1,2,1,"","create_3D_domain"],[1,2,1,"","distance_between_2_vertices"],[1,2,1,"","fill_with_particles"],[1,2,1,"","find_boundary_points"],[1,2,1,"","find_h"],[1,2,1,"","get_bounding_box"],[1,2,1,"","get_domain_size"],[1,2,1,"","get_num_voxels"],[1,2,1,"","get_type_def"],[1,2,1,"","get_vol"],[1,2,1,"","import_meshio_object"],[1,2,1,"","plot_types"],[1,2,1,"","read_msh_file"],[1,2,1,"","read_stochss_domain"],[1,2,1,"","read_stochss_subdomain_file"],[1,2,1,"","read_xml_mesh"],[1,2,1,"","set_properties"]],"spatialpy.core.Geometry":[[1,2,1,"","inside"]],"spatialpy.core.GeometryAll":[[1,2,1,"","inside"]],"spatialpy.core.GeometryExterior":[[1,2,1,"","inside"]],"spatialpy.core.GeometryInterior":[[1,2,1,"","inside"]],"spatialpy.core.InitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.KDTree":[[1,2,1,"","count_neighbors"],[1,4,1,"","data"],[1,1,1,"","innernode"],[1,1,1,"","leafnode"],[1,4,1,"","leafsize"],[1,4,1,"","m"],[1,4,1,"","maxes"],[1,4,1,"","mins"],[1,4,1,"","n"],[1,1,1,"","node"],[1,2,1,"","query"],[1,2,1,"","query_ball_point"],[1,2,1,"","query_ball_tree"],[1,2,1,"","query_pairs"],[1,4,1,"","size"],[1,2,1,"","sparse_distance_matrix"],[1,5,1,"","tree"]],"spatialpy.core.KDTree.innernode":[[1,5,1,"","children"],[1,5,1,"","split"],[1,5,1,"","split_dim"]],"spatialpy.core.KDTree.leafnode":[[1,5,1,"","children"],[1,5,1,"","idx"]],"spatialpy.core.Model":[[1,2,1,"","add_boundary_condition"],[1,2,1,"","add_data_function"],[1,2,1,"","add_domain"],[1,2,1,"","add_initial_condition"],[1,2,1,"","add_parameter"],[1,2,1,"","add_reaction"],[1,2,1,"","add_species"],[1,2,1,"","compile_prep"],[1,2,1,"","delete_all_parameters"],[1,2,1,"","delete_all_reactions"],[1,2,1,"","delete_all_species"],[1,2,1,"","delete_parameter"],[1,2,1,"","delete_reaction"],[1,2,1,"","delete_species"],[1,2,1,"","get_all_parameters"],[1,2,1,"","get_all_reactions"],[1,2,1,"","get_all_species"],[1,2,1,"","get_num_reactions"],[1,2,1,"","get_num_species"],[1,2,1,"","get_parameter"],[1,2,1,"","get_reaction"],[1,2,1,"","get_species"],[1,4,1,"","reserved_names"],[1,2,1,"","run"],[1,2,1,"","sanitized_data_function_names"],[1,2,1,"","sanitized_parameter_names"],[1,2,1,"","sanitized_species_names"],[1,2,1,"","set_timesteps"],[1,4,1,"","special_characters"],[1,2,1,"","timespan"],[1,2,1,"","update_namespace"]],"spatialpy.core.OrderedDict":[[1,2,1,"","clear"],[1,2,1,"","copy"],[1,2,1,"","fromkeys"],[1,2,1,"","items"],[1,2,1,"","keys"],[1,2,1,"","move_to_end"],[1,2,1,"","pop"],[1,2,1,"","popitem"],[1,2,1,"","setdefault"],[1,2,1,"","update"],[1,2,1,"","values"]],"spatialpy.core.PlaceInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.Reaction":[[1,2,1,"","add_product"],[1,2,1,"","add_reactant"],[1,2,1,"","annotate"],[1,2,1,"","initialize"]],"spatialpy.core.Result":[[1,2,1,"","export_to_csv"],[1,2,1,"","get_property"],[1,2,1,"","get_species"],[1,2,1,"","get_timespan"],[1,2,1,"","plot_property"],[1,2,1,"","plot_species"],[1,2,1,"","read_step"]],"spatialpy.core.ScatterInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.Species":[[1,2,1,"","set_diffusion_coefficient"]],"spatialpy.core.UniformInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.VTKReader":[[1,2,1,"","get_array_name"],[1,2,1,"","get_arrays"],[1,2,1,"","get_num_points"],[1,2,1,"","get_points"],[1,2,1,"","read_file"],[1,2,1,"","set_filename"]],"spatialpy.core.boundarycondition":[[1,1,1,"","BoundaryCondition"]],"spatialpy.core.boundarycondition.BoundaryCondition":[[1,2,1,"","expression"]],"spatialpy.core.cleanup":[[1,6,1,"","cleanup_build_files"],[1,6,1,"","cleanup_core_files"],[1,6,1,"","cleanup_result_files"],[1,6,1,"","cleanup_tempfiles"]],"spatialpy.core.datafunction":[[1,1,1,"","DataFunction"]],"spatialpy.core.datafunction.DataFunction":[[1,2,1,"","map"]],"spatialpy.core.domain":[[1,1,1,"","Domain"]],"spatialpy.core.domain.Domain":[[1,2,1,"","add_point"],[1,2,1,"","calculate_vol"],[1,2,1,"","closest_vertex"],[1,2,1,"","compile_prep"],[1,2,1,"","coordinates"],[1,2,1,"","create_2D_domain"],[1,2,1,"","create_3D_domain"],[1,2,1,"","distance_between_2_vertices"],[1,2,1,"","fill_with_particles"],[1,2,1,"","find_boundary_points"],[1,2,1,"","find_h"],[1,2,1,"","get_bounding_box"],[1,2,1,"","get_domain_size"],[1,2,1,"","get_num_voxels"],[1,2,1,"","get_type_def"],[1,2,1,"","get_vol"],[1,2,1,"","import_meshio_object"],[1,2,1,"","plot_types"],[1,2,1,"","read_msh_file"],[1,2,1,"","read_stochss_domain"],[1,2,1,"","read_stochss_subdomain_file"],[1,2,1,"","read_xml_mesh"],[1,2,1,"","set_properties"]],"spatialpy.core.geometry":[[1,1,1,"","Geometry"],[1,1,1,"","GeometryAll"],[1,1,1,"","GeometryExterior"],[1,1,1,"","GeometryInterior"]],"spatialpy.core.geometry.Geometry":[[1,2,1,"","inside"]],"spatialpy.core.geometry.GeometryAll":[[1,2,1,"","inside"]],"spatialpy.core.geometry.GeometryExterior":[[1,2,1,"","inside"]],"spatialpy.core.geometry.GeometryInterior":[[1,2,1,"","inside"]],"spatialpy.core.initialcondition":[[1,1,1,"","InitialCondition"],[1,1,1,"","PlaceInitialCondition"],[1,1,1,"","ScatterInitialCondition"],[1,1,1,"","UniformInitialCondition"]],"spatialpy.core.initialcondition.InitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.initialcondition.PlaceInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.initialcondition.ScatterInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.initialcondition.UniformInitialCondition":[[1,2,1,"","apply"]],"spatialpy.core.model":[[1,1,1,"","Model"],[1,6,1,"","export_StochSS"]],"spatialpy.core.model.Model":[[1,2,1,"","add_boundary_condition"],[1,2,1,"","add_data_function"],[1,2,1,"","add_domain"],[1,2,1,"","add_initial_condition"],[1,2,1,"","add_parameter"],[1,2,1,"","add_reaction"],[1,2,1,"","add_species"],[1,2,1,"","compile_prep"],[1,2,1,"","delete_all_parameters"],[1,2,1,"","delete_all_reactions"],[1,2,1,"","delete_all_species"],[1,2,1,"","delete_parameter"],[1,2,1,"","delete_reaction"],[1,2,1,"","delete_species"],[1,2,1,"","get_all_parameters"],[1,2,1,"","get_all_reactions"],[1,2,1,"","get_all_species"],[1,2,1,"","get_num_reactions"],[1,2,1,"","get_num_species"],[1,2,1,"","get_parameter"],[1,2,1,"","get_reaction"],[1,2,1,"","get_species"],[1,4,1,"","reserved_names"],[1,2,1,"","run"],[1,2,1,"","sanitized_data_function_names"],[1,2,1,"","sanitized_parameter_names"],[1,2,1,"","sanitized_species_names"],[1,2,1,"","set_timesteps"],[1,4,1,"","special_characters"],[1,2,1,"","timespan"],[1,2,1,"","update_namespace"]],"spatialpy.core.parameter":[[1,1,1,"","Parameter"]],"spatialpy.core.reaction":[[1,1,1,"","Reaction"]],"spatialpy.core.reaction.Reaction":[[1,2,1,"","add_product"],[1,2,1,"","add_reactant"],[1,2,1,"","annotate"],[1,2,1,"","initialize"]],"spatialpy.core.result":[[1,1,1,"","Result"]],"spatialpy.core.result.Result":[[1,2,1,"","export_to_csv"],[1,2,1,"","get_property"],[1,2,1,"","get_species"],[1,2,1,"","get_timespan"],[1,2,1,"","plot_property"],[1,2,1,"","plot_species"],[1,2,1,"","read_step"]],"spatialpy.core.spatialpyerror":[[1,3,1,"","BoundaryConditionError"],[1,3,1,"","DataFunctionError"],[1,3,1,"","DomainError"],[1,3,1,"","GeometryError"],[1,3,1,"","InitialConditionError"],[1,3,1,"","ModelError"],[1,3,1,"","ParameterError"],[1,3,1,"","ReactionError"],[1,3,1,"","ResultError"],[1,3,1,"","SimulationError"],[1,3,1,"","SimulationTimeout"],[1,3,1,"","SpeciesError"],[1,3,1,"","VTKReaderError"],[1,3,1,"","VTKReaderIOError"]],"spatialpy.core.species":[[1,1,1,"","Species"]],"spatialpy.core.species.Species":[[1,2,1,"","set_diffusion_coefficient"]],"spatialpy.core.vtkreader":[[1,1,1,"","VTKReader"]],"spatialpy.core.vtkreader.VTKReader":[[1,2,1,"","get_array_name"],[1,2,1,"","get_arrays"],[1,2,1,"","get_num_points"],[1,2,1,"","get_points"],[1,2,1,"","read_file"],[1,2,1,"","set_filename"]],"spatialpy.solvers":[[2,0,0,"-","build_expression"],[2,0,0,"-","solver"]],"spatialpy.solvers.build_expression":[[2,1,1,"","BuildExpression"],[2,1,1,"","CppConverter"],[2,1,1,"","ExpressionConverter"],[2,1,1,"","ExpressionResults"],[2,1,1,"","PythonConverter"]],"spatialpy.solvers.build_expression.BuildExpression":[[2,1,1,"","ValidationVisitor"],[2,2,1,"","getexpr_cpp"],[2,2,1,"","getexpr_python"],[2,2,1,"","map_operator"],[2,4,1,"","operator_map"],[2,2,1,"","validate"],[2,2,1,"","with_blacklist"],[2,2,1,"","with_namespace"]],"spatialpy.solvers.build_expression.BuildExpression.ValidationVisitor":[[2,2,1,"","visit_Assign"],[2,2,1,"","visit_BinOp"],[2,2,1,"","visit_BoolOp"],[2,2,1,"","visit_Call"],[2,2,1,"","visit_Compare"],[2,2,1,"","visit_Name"],[2,2,1,"","visit_UnaryOp"]],"spatialpy.solvers.build_expression.CppConverter":[[2,1,1,"","CppExpressionTransformer"],[2,2,1,"","get_str"],[2,2,1,"","visit_And"],[2,2,1,"","visit_Or"]],"spatialpy.solvers.build_expression.CppConverter.CppExpressionTransformer":[[2,2,1,"","visit_BinOp"]],"spatialpy.solvers.build_expression.ExpressionConverter":[[2,2,1,"","convert_str"],[2,2,1,"","get_str"],[2,2,1,"","parse_comparison"],[2,2,1,"","parse_logical"],[2,2,1,"","parse_operator"],[2,2,1,"","visit_Add"],[2,2,1,"","visit_BinOp"],[2,2,1,"","visit_BoolOp"],[2,2,1,"","visit_Bytes"],[2,2,1,"","visit_Call"],[2,2,1,"","visit_Compare"],[2,2,1,"","visit_Constant"],[2,2,1,"","visit_Div"],[2,2,1,"","visit_Ellipsis"],[2,2,1,"","visit_Eq"],[2,2,1,"","visit_Gt"],[2,2,1,"","visit_GtE"],[2,2,1,"","visit_Lt"],[2,2,1,"","visit_LtE"],[2,2,1,"","visit_Mult"],[2,2,1,"","visit_Name"],[2,2,1,"","visit_NameConstant"],[2,2,1,"","visit_NotEq"],[2,2,1,"","visit_Num"],[2,2,1,"","visit_Pow"],[2,2,1,"","visit_Str"],[2,2,1,"","visit_Sub"],[2,2,1,"","visit_USub"],[2,2,1,"","visit_UnaryOp"]],"spatialpy.solvers.build_expression.PythonConverter":[[2,2,1,"","visit_And"],[2,2,1,"","visit_Or"]],"spatialpy.solvers.solver":[[2,1,1,"","Solver"]],"spatialpy.solvers.solver.Solver":[[2,2,1,"","compile"],[2,2,1,"","run"]],"spatialpy.stochss":[[3,0,0,"-","stochss_export"]],"spatialpy.stochss.stochss_export":[[3,6,1,"","export"]],spatialpy:[[1,0,0,"-","core"],[2,0,0,"-","solvers"],[3,0,0,"-","stochss"]]},objnames:{"0":["py","module","Python module"],"1":["py","class","Python class"],"2":["py","method","Python method"],"3":["py","exception","Python exception"],"4":["py","attribute","Python attribute"],"5":["py","property","Python property"],"6":["py","function","Python function"]},objtypes:{"0":"py:module","1":"py:class","2":"py:method","3":"py:exception","4":"py:attribute","5":"py:property","6":"py:function"},terms:{"0":[1,2],"0012333":1,"04":1,"0511773":1,"1":[1,2],"10":1,"11":1,"12295571":1,"13":1,"14":1,"15":1,"168474926":1,"19":1,"1993":1,"1993apj":1,"1999":1,"1d":1,"2":1,"20":1,"2000":1,"2002":1,"2003mnra":1,"2005":1,"2015":1,"2019":[0,1,2,3],"2022":[0,1,2,3],"2236068":1,"2333084":1,"23606798":1,"24617575":1,"26836782":1,"28942611":1,"29571802":1,"2d":1,"2df":1,"2r01eb014877":4,"3":[0,1,2,3,4],"300":1,"30088013":1,"31994999":1,"32580855":1,"33630734":1,"346":1,"37327919":1,"39923701":1,"3d":[1,4],"4":1,"412":1,"5":1,"500":1,"55396483":1,"5647":1,"56906522":1,"57714465":1,"6":1,"600":1,"6395831":1,"6473269":1,"64l":1,"7":1,"71124834":1,"7225693":1,"72658602":1,"75679479":1,"78h":1,"79428925":1,"8":1,"800":1,"80622577":1,"8658745":1,"87665969":1,"9":1,"90785663":1,"abstract":[1,2],"byte":2,"case":1,"class":[1,2],"default":1,"do":1,"export":[1,3],"float":1,"function":[1,2],"import":1,"int":[1,2],"long":1,"new":[1,2],"public":[0,1,2,3,4],"return":[1,2,3],"short":4,"static":[1,4],"super":2,"switch":1,"true":[1,2,3],A:[0,1,2,3,4],And:2,As:1,By:[1,2],FOR:[0,1,2,3],For:[1,4],If:[0,1,2,3,4],In:1,It:1,No:1,Not:2,Or:2,The:[1,2,4],To:1,Will:1,ab:1,abl:1,about:1,abov:1,absolut:1,acceler:1,accept:2,across:1,action:1,actual:1,ad:[1,2],adapt:1,add:[1,2],add_boundary_condit:1,add_data_funct:1,add_domain:1,add_initial_condit:1,add_paramet:1,add_point:1,add_product:1,add_react:1,add_speci:1,addit:[1,2],addition:[1,2],addtion:[1,2],adsab:1,advect:[0,1,2,3,4],against:[1,2],al:1,algorithm:[1,4],align:1,all:[1,2],allow:2,along:[0,1,2,3],alreadi:1,also:[1,2,4],alwai:[1,2],amount:1,an:[1,2,4],analysi:1,angular:1,ani:[0,1,2,3,4],anim:1,animation_attribut:1,animation_opt:1,annot:1,append:2,appli:1,approxim:1,ar:[1,2],argument:1,around:1,arrai:1,arraid:1,array_lik:1,articl:4,artifici:1,arxiv:1,asarrai:1,ascii:1,assembl:1,assign:[1,2],associ:1,assum:2,ast:2,astro:1,astronom:1,astrophys:1,attempt:1,attribut:1,author:4,auto_plai:1,automat:[1,2],autorang:1,avail:[1,2,4],averag:1,axi:1,background:1,balanced_tre:1,bare:2,base:[1,2,4],basic:1,bass:1,becaus:1,becom:1,been:1,befor:1,begin:1,behavior:[1,2],below:1,between:[1,2],bia:1,bin:1,binari:1,binboolopop:2,binop:2,biochem:1,bitand:2,bitor:2,bitxor:2,blacklist:2,blob:1,blue:1,bodi:1,bogu:1,bool:[1,2,3],boolop:2,both:4,bottom:1,bound:1,bound_cond:1,boundari:1,boundarycondit:0,boundaryconditionerror:1,box:1,boxsiz:1,bracket:1,branch:1,brian:4,broadcast:1,browser:1,brute:1,bugn:1,build:[1,2,4],build_dir:1,build_express:0,buildexpress:2,built:[1,2],bulk:1,bupu:1,bvf_phi:1,c0:1,c:[0,1,2,3],c_:1,calcul:1,calculate_vol:1,call:[1,2],can:[0,1,2,3,4],caus:[1,2],cdn:1,cell:1,charact:1,chart:1,check:[1,2],chemic:1,children:1,choos:1,chosen:1,circumradiu:1,ckdtree:1,ckdtree_nod:1,ckdtreenod:1,classmethod:[1,2],cleanup:0,cleanup_build_fil:1,cleanup_core_fil:1,cleanup_result_fil:1,cleanup_tempfil:1,clear:1,close:1,closest:1,closest_vertex:1,cloud:1,cluster:1,code:4,coeffic:1,coeffici:1,collabor:1,colormap:1,column:1,com:[1,4],combin:1,compact:1,compact_nod:1,compar:[1,2],comparison:2,compil:[1,2],compile_prep:1,compos:1,comput:1,conain:1,conatain:1,concentr:1,condit:[1,2],config:1,connect:1,connolli:1,consid:1,consol:2,constant:[1,2],construct:1,constructor:2,constuct:1,contact:4,contain:[1,2],content:4,context:2,contian:1,contigu:1,continu:4,convers:2,convert:[1,2,3],convert_str:2,convet:2,coo_matrix:1,coodin:1,coordin:1,copi:[0,1,2,3],copy_data:1,copy_numb:1,copyright:[0,1,2,3],core:[0,2,3,4],corner:1,correl:1,correspond:[1,2],corrupt:1,cosmolog:1,could:[1,2],count:1,count_neighbor:1,coupl:1,cppconvert:2,cppexpressiontransform:2,cpu:1,cradded:1,creat:[1,2],create_2d_domain:1,create_3d_domain:1,csv:1,cumul:1,current:[1,2],custom:1,cylind:4,d:1,data:[1,2],data_funct:1,datafunct:0,datafunctionerror:1,dd:1,debug:[1,2],debug_level:[1,2],debugg:2,decreas:1,default_rng:1,defer:1,defin:[1,2],definit:1,degener:1,delete_all_paramet:1,delete_all_react:1,delete_all_speci:1,delete_paramet:1,delete_react:1,delete_speci:1,deltai:1,deltax:1,deltaz:1,demo:4,densiti:1,depend:1,dependency_graph:1,deprec:1,describ:[1,4],descript:1,detail:[0,1,2,3],determinist:[0,1,2,3,4],determinst:1,develop:[0,1,2,3,4],diamet:1,dict:[1,2,3],dictionari:[1,2],differ:[1,2],diffus:[0,1,2,3,4],diffusion_coeffici:1,dimens:1,dimension:1,direct:1,directli:[1,4],directori:1,discuss:1,displai:1,dissip:4,distanc:1,distance_between_2_vertic:1,distance_matrix:1,distance_upper_bound:1,distribut:[0,1,2,3],div:2,doe:1,doesn:1,dok_matrix:1,dolfin:1,dom:1,domain:[0,4],domainerror:1,domn:1,doubl:1,download:1,dr:4,draw:1,drawert:4,drawn:1,dtype:1,dual:1,duplic:2,durat:1,dure:[1,2],dynam:4,e:1,each:1,edg:1,edit:1,edu:1,effect:1,effici:1,either:1,element:1,ellipsi:2,els:[1,3],embed:4,empti:2,end:1,engin:1,ensur:[1,2],enterpris:1,entir:1,entireti:1,ep:1,eq:2,equival:2,error:1,estim:1,et:1,euclidean:1,evalu:1,evaul:1,even:[0,1,2,3],evenli:1,exampl:1,exce:1,exceed:2,except:1,execut:[1,2],exist:1,expect:[1,2],expens:1,explor:1,export_stochss:1,export_to_csv:1,expres:2,express:[1,2],expressionconvert:2,expressionresult:2,extens:1,extra:1,f:1,f_durat:1,fail:2,fals:[1,2,3],far:2,faster:1,featur:4,fenic:1,field:1,fifo:1,figsiz:1,figur:1,figure_or_data:1,file:[1,3],filenam:[1,3],fill:[1,4],fill_with_particl:1,find:[1,4],find_boundary_point:1,find_h:1,finit:1,first:[1,2],fit:[0,1,2,3],fix:1,flag:[1,2],flatten:1,flight:2,floordiv:2,flow:4,fluid:[1,4],folder_nam:1,follow:[1,2],forc:1,form:[1,4],format:1,forward:2,found:[1,2,4],foundat:[0,1,2,3],frac:1,fraction:1,frame:[1,4],free:[0,1,2,3],frequenc:1,from:[1,2],fromkei:1,fund:4,further:1,furthest:1,g:1,gain:1,galaxi:1,gdbgui:2,gener:[0,1,2,3,4],geometr:1,geometri:0,geometry_ivar:1,geometryal:1,geometryerror:1,geometryexterior:1,geometryinterior:1,get:[1,2],get_all_paramet:1,get_all_react:1,get_all_speci:1,get_arrai:1,get_array_nam:1,get_bounding_box:1,get_domain_s:1,get_num_point:1,get_num_react:1,get_num_speci:1,get_num_voxel:1,get_paramet:1,get_point:1,get_properti:1,get_react:1,get_speci:1,get_str:2,get_timespan:1,get_type_def:1,get_vol:1,getexpr_:2,getexpr_cpp:2,getexpr_python:2,github:[1,4],give:1,given:[1,2],gmsh:1,gnbu:1,gnu:[0,1,2,3,4],gprof:2,grai:1,grant:4,granular:2,graph:1,graph_obj:1,graph_refer:1,graviti:[1,4],greater:1,greatest:1,green:1,grei:1,gt:2,gte:2,guarante:1,h:1,ha:[1,4],hand:2,handl:2,happen:2,harvard:1,hasn:[1,2],have:[0,1,2,3],hawkin:1,height:1,held:1,help:1,here:[1,4],high:1,higher:1,highest:1,hit:1,hope:[0,1,2,3],how:[1,2,4],http:[0,1,2,3,4],hybrid:4,hyperrectangl:1,i:1,id:1,idea:1,ideal:2,idempot:1,identifi:[1,2],idx:1,ignor:1,ii:1,imag:1,image_height:1,image_width:1,immobil:1,implemenet:1,implement:[1,2],impli:[0,1,2,3],import_meshio_object:1,imposs:2,inch:1,incid:1,includ:1,included_types_list:1,incompat:1,increas:1,increment:2,indec:1,indeci:1,index:[1,4],indic:[1,2],indici:1,inf:1,infer:2,infin:1,infinit:1,info:1,inform:[1,2,4],inherit:2,init_cond:1,init_notebook_mod:1,initailcondit:1,initi:1,initialcondit:0,initialconditionerror:1,inlin:1,innernod:1,input:1,insert:1,insid:1,instanc:[1,2],instead:1,integ:1,intend:4,intern:1,internet:1,interv:1,invalid:[1,2],invalid_:2,invalid_nam:2,invalid_oper:2,io:1,iplot:1,ipython:1,is_valid:2,issuecom:1,item:[1,2],iter:1,its:1,j:1,jacob:4,jet:1,job:1,journal:1,jpeg:1,js:1,json:1,jupyt:1,k:1,kd:1,kd_tree1:1,kd_tree2:1,kd_tree:1,kdtree:1,kei:[1,2],keyerror:1,keyword:1,kill:1,kth:1,kwarg:1,l_i:1,lack:1,lagrangian:4,landi:1,larg:1,larger:1,last:[1,2],later:[1,2],latest:4,layout:1,leafnod:1,leafsiz:1,learn:1,leav:1,left:2,legaci:1,len:1,length:1,less:1,level:[1,2],li:4,librari:1,licens:[0,1,2,3,4],lifo:1,like:1,limit:1,linearli:1,link:1,link_text:1,list:[1,2],listofparamet:1,listofreact:1,listofspeci:1,listoftyp:1,load:1,local:1,locat:1,logic:2,longer:1,look:1,lookup:1,loos:1,lower:1,lowest:1,lshift:2,lt:2,lte:2,ly:1,m:1,mai:1,main:4,make:1,manag:2,maneewongvatana:1,manhattan:1,mani:[1,2],map:[1,2],map_oper:2,margin:1,mark:1,markers:1,mass:1,master:1,mathemat:[1,2],matmult:2,matplotlib:1,matrix:1,matter:1,max:1,max_dist:1,maximum:[1,2],mean:1,measur:1,median:1,meet:1,megabyt:1,merchant:[0,1,2,3],mesh:1,mesh_obj:1,meshio:1,messag:1,meta:1,method:[1,2],mgrid:1,midpoint:1,min:1,mine:1,minim:1,minimum:1,minkowski:1,miss:1,mod:2,model:[0,2,3,4],modelerror:1,modelname_mesh:1,modelname_species_:1,modifi:[0,1,2,3],modul:4,monthli:1,moor:1,more:[0,1,2,3,4],most:[1,2],mount:1,move:1,move_to_end:1,movement:1,msh:1,much:1,mult:2,multi:1,multipl:[1,2],must:1,n:1,n_i:1,naiv:1,name:[1,2],nameconst:2,namespac:[1,2],ndarrai:1,ndarri:1,nearbi:1,nearby_point:1,nearer:1,nearest:1,necessari:1,need:[1,4],neg:1,neighbor:1,neighbour:1,nih:4,node:[1,2],nodetransform:2,nodevisitor:2,non:1,none:[1,2,3],nonneg:1,norm:1,notat:1,note:[1,2],notebook:[1,4],noteq:2,notic:1,np:1,nsm:4,nu:1,num:2,num_step:1,number:[1,2],number_of_thread:[1,2],number_of_trajectori:[1,2],numpi:1,numpoint:1,nx:1,ny:1,nz:1,o:1,obj:1,object:[1,2],occur:1,od:1,off:1,offlin:1,og:1,omit:1,on_boundari:1,one:[1,2],onli:[1,2],onlin:1,open:1,oper:[1,2],operator_map:2,optim:1,option:1,orang:1,order:1,ordereddict:1,org:[0,1,2,3],origin:2,orrd:1,other:[1,2],otherwis:[1,2],our:[1,4],out:[1,4],outdat:1,output:[1,2],output_interv:1,output_typ:1,outsid:1,over:1,overflow:1,overrid:2,overridden:1,p0:1,p:1,p_ndx:1,packag:4,page:[1,4],pair:1,parallel:1,param:1,param_nam:1,param_obj:1,paramet:[0,2,3],parametererror:1,paramt:1,parent:1,pars:2,parse_comparison:2,parse_log:2,parse_oper:2,part:1,partcil:1,particip:1,particl:[1,4],particular:[0,1,2,3],pass:[1,2],path:[1,3],pdf:1,peculiar:1,per:1,perform:1,petzold:4,ph:1,physic:4,pii:4,pixel:1,place:1,placeinitialcondit:1,platform:1,pleas:[1,4],plot:1,plot_imag:1,plot_properti:1,plot_speci:1,plot_typ:1,plotli:1,plotly3:1,plt:1,pname:1,png:1,point:1,points1:1,points2:1,pop:[1,2],popitem:1,popul:1,posit:1,positon:1,pow:2,pre:2,predict:1,preper:1,present:[1,2],pressur:1,print:[1,2],problem:[0,1,2,3,4],process:[1,2],processor:1,produc:1,product:1,profil:[1,2],program:[0,1,2,3],project:4,propens:1,propensity_funct:1,properli:1,properti:[1,2],property_nam:1,proprti:1,protect:1,prove:4,provid:[1,2,4],prune:1,publish:[0,1,2,3],pubu:1,pubugn:1,pull:1,purd:1,purpl:1,purpos:[0,1,2,3],put:1,px:1,py:1,pypi:4,pyplot:1,python:[0,1,2,3,4],pythonconvert:2,pyurdm:4,quantifi:1,queri:1,query_ball_point:1,query_ball_tre:1,query_pair:1,question:4,quick:1,r:1,radii:1,radiu:1,rais:[1,2],random:[1,2],randomli:1,rang:1,rapidli:1,rate:1,rather:1,ratio:1,ravel:1,raw:1,rdme:4,rdpu:1,re:1,reac:1,reach:1,react_nam:1,react_obj:1,reactant:1,reaction:[0,2,3,4],reactionerror:1,read:1,read_fil:1,read_msh_fil:1,read_step:1,read_stochss_domain:1,read_stochss_subdomain_fil:1,read_xml_mesh:1,reader:1,real:1,receiv:[0,1,2,3],recent:[1,2],record:1,red:1,redistribut:[0,1,2,3],redshift:1,refer:1,referenc:1,regardless:1,region:1,regist:4,registr:4,reject:2,rememb:1,remov:1,replac:4,repres:1,represent:[1,2],request:1,requir:1,reserved_nam:1,resolut:1,restrict:1,restrict_to:1,result:[0,2],result_dir:1,resulterror:1,retreiv:1,retriev:1,return_length:1,return_plotly_figur:1,return_sort:1,return_stochss_model:[1,3],rho0:1,rho:1,right:[1,2],rname:1,rng:1,robust:1,royal:1,rshift:2,rtype:2,rule:1,run:[1,2],rvalu:2,s0021999118307101:4,s:[1,4],same:1,sampl:1,sanit:2,sanitized_data_function_nam:1,sanitized_parameter_nam:1,sanitized_species_nam:1,save:1,scalar:1,scale:1,scatter:1,scatterinitialcondit:1,schedul:1,scheme:1,scienc:[1,4],sciencedirect:4,scipi:1,sdm:1,sdpd:[1,4],search:[1,4],second:[1,2],section:1,see:[0,1,2,3,4],seed:[1,2],self:[1,2],sens:1,sep:1,separ:1,sequenc:1,seri:[1,2],set:[1,2],set_diffusion_coeffici:1,set_filenam:1,set_properti:1,set_timestep:1,setdefault:1,setter:1,shall:1,shallow:1,shape:1,sheth:1,should:[0,1,2,3],show:1,show_link:1,shrink:1,signal:1,significantli:1,similar:1,simlat:1,simplifi:1,simul:[0,1,2,3,4],simulationerror:[1,2],simulationtimeout:[1,2],sinc:1,singl:[1,2],size:1,skibba:1,sky:1,slide:1,slightli:1,small:1,smaller:1,smdl:1,smooth:4,sname:1,so:[1,2],societi:1,softwar:[0,1,2,3,4],solver:[0,1,4],some:1,sort:1,sound:1,sourc:[1,2,3,4],space:1,spactialpi:2,span:1,spars:1,sparse_distance_matrix:1,spatial:[0,1,2,3,4],spatialpy_build:1,spatialpy_model:1,spatialpy_result:1,spatialpyerror:0,spatialpysolv:1,speci:0,special_charact:1,species_nam:1,species_object:1,specieserror:1,specif:1,specifi:1,speed:1,split:1,split_dim:1,squeez:1,src:1,ssa:1,sssa:4,start:[1,2,4],statement:2,statist:1,step:1,step_num:1,stochast:[0,1,2,3,4],stochss:[0,1,4],stochss_export:0,stoichiometr:1,stoichiometri:1,str:[1,2,3],string:[1,2],struct:2,structur:1,style:1,sub:2,subclass:[1,2],subdomain:1,submodul:0,subpackag:4,substanti:1,substitut:2,success:1,suggest:4,sum:1,suppli:1,support:[1,4],sure:1,survei:1,svg:1,symbol:2,syntax:2,syntaxerror:2,system:[1,4],szalai:1,t:[1,2],t_durat:1,t_ndx:1,t_ndx_list:1,t_val:1,tag:1,take:1,target:[1,2],tempfil:1,term:[0,1,2,3],tetrahedron:1,text:1,th:1,than:1,them:1,thi:[0,1,2,3,4],thin:1,those:1,though:1,thread:[1,2],time:[1,2],time_span:1,timeout:[1,2],timepoint:1,timespan:1,timestep:1,timestep_s:1,titl:1,toarrai:1,token:2,topolog:1,toroid:1,total:1,toth:1,trace:1,tracker:4,trajectori:[1,2],transit:1,travers:1,tree:[1,2],triangl:1,trigger:2,tspan:1,tupl:1,two:[1,2],txt:1,type:[1,2,3],type_id:1,u0:1,unabl:1,unaryop:2,under:[0,1,2,3,4],uniform:1,uniforminitialcondit:1,union:1,univers:[1,2],unless:1,unnecessari:1,unsqueez:1,unweight:1,up:1,updat:1,update_namespac:1,upload:1,upon:1,upper:1,urdm:1,us:[0,1,2,3,4],use_matplotlib:1,user:[1,4],usual:1,usub:2,util:1,v1:1,v:1,valid:[1,2],validationvisitor:2,valu:[1,2],valueerror:1,vari:1,varianc:1,veloc:1,verbos:2,version:[0,1,2,3,4],vertex:1,vertic:1,view:1,viewer:1,viscos:1,visit:2,visit_add:2,visit_and:2,visit_assign:2,visit_binop:2,visit_boolop:2,visit_byt:2,visit_cal:2,visit_compar:2,visit_const:2,visit_div:2,visit_ellipsi:2,visit_eq:2,visit_gt:2,visit_lt:2,visit_mult:2,visit_nam:2,visit_nameconst:2,visit_noteq:2,visit_num:2,visit_or:2,visit_pow:2,visit_str:2,visit_sub:2,visit_unaryop:2,visit_usub:2,visitor:2,vol:1,volum:1,voxel:1,vtk:1,vtkreader:0,vtkreadererror:1,vtkreaderioerror:1,wa:1,want:1,warranti:[0,1,2,3],we:[1,4],web:1,webp:1,weight:1,weir:4,well:2,were:[1,2],what:2,when:[1,2],where:1,whether:[1,2,3],which:[1,2],whose:1,wide:1,width:1,with_blacklist:2,with_namespac:2,within:1,without:[0,1,2,3],work:1,worker:1,wp:1,wrap:1,write:1,write_imag:1,written:1,www:[0,1,2,3,4],x1:1,x2:1,x:1,x_i:1,xaxi:1,xi:1,xk:1,xlim:1,xmax:1,xmin:1,xml:1,y:1,yaxi:1,yet:1,yi:4,ylgn:1,ylgnbu:1,ylim:1,ylorbr:1,ylorrd:1,ymax:1,ymin:1,you:[0,1,2,3,4],your:[1,4],z:1,zero:1,zeroth:1,zlim:1,zmax:1,zmin:1},titles:["spatialpy package","spatialpy.core package","spatialpy.solvers package","spatialpy.stochss package","Documentation for SpatialPy 1.0"],titleterms:{"0":4,"1":4,api:4,boundarycondit:1,build_express:2,cleanup:1,content:[0,1,2,3],copi:4,core:1,datafunct:1,document:4,domain:1,exampl:4,geometri:1,get:4,indic:4,initialcondit:1,issu:4,model:1,modul:[0,1,2,3],packag:[0,1,2,3],paramet:1,reaction:1,refer:4,report:4,result:1,solver:2,spatialpi:[0,1,2,3,4],spatialpyerror:1,speci:1,stochss:3,stochss_export:3,submodul:[1,2,3],subpackag:0,tabl:4,vtkreader:1}})
\ No newline at end of file

From 7b3f35def8a6d57e8bf6727d4e997c787f4fcf61 Mon Sep 17 00:00:00 2001
From: Bryan Rumsey 
Date: Fri, 4 Mar 2022 12:32:45 -0500
Subject: [PATCH 25/30] Split tests into unit tests and integration tests. 
 Added new test script and yml file for integration tests.

---
 .github/workflows/run-integration-tests.yml   | 30 +++++++++++
 .../{run-tests.yml => run-unit-tests.yml}     |  2 +-
 ...{run_tests.py => run_integration_tests.py} |  6 ---
 test/run_unit_tests.py                        | 51 +++++++++++++++++++
 4 files changed, 82 insertions(+), 7 deletions(-)
 create mode 100644 .github/workflows/run-integration-tests.yml
 rename .github/workflows/{run-tests.yml => run-unit-tests.yml} (92%)
 rename test/{run_tests.py => run_integration_tests.py} (92%)
 mode change 100755 => 100644
 create mode 100755 test/run_unit_tests.py

diff --git a/.github/workflows/run-integration-tests.yml b/.github/workflows/run-integration-tests.yml
new file mode 100644
index 00000000..03e73a80
--- /dev/null
+++ b/.github/workflows/run-integration-tests.yml
@@ -0,0 +1,30 @@
+name: Run SpatialPy Integration Tests
+
+on:
+  push:
+    branches: [staging]
+
+jobs:
+  run-tests:
+    runs-on: ${{ matrix.os }}
+    strategy:
+      matrix:
+        os: [ ubuntu-latest ]
+
+    steps:
+    - name: Initialize environment
+      uses: actions/checkout@v2
+
+    - name: Install Python
+      uses: actions/setup-python@v2
+      with:
+        python-version: '3.7'
+
+    - name: Install Python dependencies
+      run: | 
+        python3 -m pip install --upgrade pip
+        python3 -m pip install -r requirements.txt
+        python3 -m pip install coverage
+        
+    - name: Run tests
+      run: coverage run test/run_integration_tests.py
diff --git a/.github/workflows/run-tests.yml b/.github/workflows/run-unit-tests.yml
similarity index 92%
rename from .github/workflows/run-tests.yml
rename to .github/workflows/run-unit-tests.yml
index 3ba08da0..cabdc656 100644
--- a/.github/workflows/run-tests.yml
+++ b/.github/workflows/run-unit-tests.yml
@@ -25,4 +25,4 @@ jobs:
         python3 -m pip install coverage
         
     - name: Run tests
-      run: coverage run test/run_tests.py
+      run: coverage run test/run_unit_tests.py
diff --git a/test/run_tests.py b/test/run_integration_tests.py
old mode 100755
new mode 100644
similarity index 92%
rename from test/run_tests.py
rename to test/run_integration_tests.py
index 8f9b5d21..a2b547e3
--- a/test/run_tests.py
+++ b/test/run_integration_tests.py
@@ -30,17 +30,11 @@
         print('Running tests in develop mode. Appending repository directory to system path.')
         sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
 
-    import test_species
-    import test_parameter
-    import test_reaction
     import test_model
     import test_solver
     #import test_mincde
 
     modules = [
-        test_species,
-        test_parameter,
-        test_reaction,
         test_model,
         test_solver,
         #test_mincde,
diff --git a/test/run_unit_tests.py b/test/run_unit_tests.py
new file mode 100755
index 00000000..b35fb3f3
--- /dev/null
+++ b/test/run_unit_tests.py
@@ -0,0 +1,51 @@
+#!/usr/bin/env python3
+'''
+SpatialPy is a Python 3 package for simulation of
+spatial deterministic/stochastic reaction-diffusion-advection problems
+Copyright (C) 2019 - 2022 SpatialPy developers.
+
+This program is free software: you can redistribute it and/or modify
+it under the terms of the GNU GENERAL PUBLIC LICENSE Version 3 as
+published by the Free Software Foundation.
+
+This program is distributed in the hope that it will be useful,
+but WITHOUT ANY WARRANTY; without even the implied warranty of
+MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+GNU GENERAL PUBLIC LICENSE Version 3 for more details.
+
+You should have received a copy of the GNU General Public License
+along with this program.  If not, see .
+'''
+
+import unittest, sys, os
+import argparse
+
+parser = argparse.ArgumentParser()
+parser.add_argument('-m', '--mode', default='develop', choices=['develop', 'release'],
+                    help='Run unit tests in develop mode or release mode.')
+
+if __name__ == '__main__':
+    args = parser.parse_args()
+    if args.mode == 'develop':
+        print('Running unit tests in develop mode. Appending repository directory to system path.')
+        sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
+
+    import test_species
+    import test_parameter
+    import test_reaction
+    
+    modules = [
+        test_species,
+        test_parameter,
+        test_reaction
+    ]
+
+    for module in modules:
+        suite = unittest.TestLoader().loadTestsFromModule(module)
+        runner = unittest.TextTestRunner(failfast=args.mode == 'develop')
+
+        print("Executing: {}".format(module))
+        result = runner.run(suite)
+        print('=' * 70)
+        if not result.wasSuccessful():
+            sys.exit(not result.wasSuccessful())

From e71ba9688d2956cdfcda31aff476c72b608d7539 Mon Sep 17 00:00:00 2001
From: Bryan Rumsey 
Date: Mon, 7 Mar 2022 13:35:55 -0500
Subject: [PATCH 26/30] updates to test 3d cylinder demo nb.

---
 .../3D_Cylinder_Demo_Results_Check.ipynb      | 39794 +---------------
 1 file changed, 189 insertions(+), 39605 deletions(-)

diff --git a/examples/tests/3D_Cylinder_Demo_Results_Check.ipynb b/examples/tests/3D_Cylinder_Demo_Results_Check.ipynb
index e77b8e0a..e6fbb31d 100644
--- a/examples/tests/3D_Cylinder_Demo_Results_Check.ipynb
+++ b/examples/tests/3D_Cylinder_Demo_Results_Check.ipynb
@@ -8,7 +8,7 @@
    "source": [
     "import os\n",
     "import sys\n",
-    "from collections import OrderedDict"
+    "sys.path.insert(1, os.path.abspath(os.path.join(os.getcwd(), '../../')))"
    ]
   },
   {
@@ -17,28 +17,16 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "sys.path.append(\"../..\")"
+    "import numpy"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 3,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "'/Users/bryanrumsey/Documents/SpatialPy/examples/tests/../../spatialpy/__init__.py'"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "import spatialpy\n",
-    "spatialpy.__file__"
+    "import matplotlib.pyplot as plt"
    ]
   },
   {
@@ -47,13 +35,14 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import matplotlib.pyplot as plt\n",
-    "import numpy\n",
-    "\n",
-    "# Global Constants\n",
-    "MAX_X_DIM = 5.0\n",
-    "MIN_X_DIM = -5.0\n",
-    "TOL = 1e-9"
+    "from spatialpy import (\n",
+    "    Model,\n",
+    "    Domain,\n",
+    "    Species,\n",
+    "    Parameter,\n",
+    "    Reaction,\n",
+    "    Geometry\n",
+    ")"
    ]
   },
   {
@@ -74,9 +63,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "class Edge1(spatialpy.Geometry):\n",
+    "class Edge1(Geometry):\n",
+    "    def __init__(self, xmax):\n",
+    "        self.xmax = xmax\n",
+    "\n",
     "    def inside(self, point, on_boundary):\n",
-    "        return abs(point[0] - MAX_X_DIM) < 0.05"
+    "        return abs(point[0] - self.xmax) < 0.05"
    ]
   },
   {
@@ -85,9 +77,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "class Edge2(spatialpy.Geometry):\n",
+    "class Edge2(Geometry):\n",
+    "    def __init__(self, xmin):\n",
+    "        self.xmin = xmin\n",
+    "\n",
     "    def inside(self, point, on_boundary):\n",
-    "        return abs(point[0] - MIN_X_DIM) < 0.05"
+    "        return abs(point[0] - self.xmin) < 0.05"
    ]
   },
   {
@@ -96,9 +91,12 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "class Middle(spatialpy.Geometry):\n",
+    "class Middle(Geometry):\n",
+    "    def __init__(self, xmin):\n",
+    "        self.xmin = xmin\n",
+    "\n",
     "    def inside(self, point, on_boundary):\n",
-    "        return abs(point[0] - MIN_X_DIM) >= 0.05"
+    "        return abs(point[0] - self.xmin) >= 0.05"
    ]
   },
   {
@@ -107,45 +105,97 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "class cylinderDemo3D(spatialpy.Model):\n",
+    "class cylinderDemo3D(Model):\n",
+    "    # Define type IDs as constants of the Model\n",
+    "    MIDDLE = Middle.__name__\n",
+    "    EDGE1 = Edge1.__name__\n",
+    "    EDGE2 = Edge2.__name__\n",
+    "    \n",
     "    def __init__(self, model_name=\"3D Cylinder Demo\"):\n",
-    "        spatialpy.Model.__init__(self, model_name)\n",
+    "        Model.__init__(self, model_name)\n",
     "\n",
+    "        # Set domain bounds\n",
+    "        xmin = -5\n",
+    "        xmax = 5\n",
+    "        \n",
     "        # System constants\n",
     "        D_const = 0.1\n",
     "\n",
-    "        # Define Species\n",
-    "        A = spatialpy.Species(name=\"A\", diffusion_coefficient=D_const, restrict_to=[1,2])\n",
-    "        B = spatialpy.Species(name=\"B\", diffusion_coefficient=D_const, restrict_to=[1,3])\n",
-    "        self.add_species([A, B])\n",
+    "        \"\"\"\n",
+    "        Create a domain from a FEniCS/dolfin style XML mesh file\n",
+    "        \n",
+    "        - filename: Name of the mesh file.\n",
+    "        \"\"\"\n",
+    "        domain = Domain.read_xml_mesh(filename='../Domain_Files/cylinder.xml')\n",
+    "        # Add type IDs to the particles\n",
+    "        \"\"\"\n",
+    "        Update the prpoerties of particles within a geometric shape.\n",
     "\n",
-    "        # Define Domain\n",
-    "        domain = spatialpy.Domain.read_xml_mesh('../Domain_Files/cylinder.xml')\n",
-    "        domain.set_properties(Middle(), 1)\n",
-    "        domain.set_properties(Edge1(), 2)\n",
-    "        domain.set_properties(Edge2(), 3)\n",
+    "        - geometry_ivar: an instance of a 'spatialpy.Geometry' subclass.  The 'inside()' method\n",
+    "                         of this object will be used to add a single point particles.\n",
+    "        - type_id: Particle type ID of particle to be created.\n",
+    "        - vol: Default volume of particle to be added.\n",
+    "        - mass: Default mass of particle to be added.\n",
+    "        - nu: Default viscosity of particle to be created.\n",
+    "        - c: Default artificial speed of sound of particle to be created.\n",
+    "        - rho: Default density of particle to be created\n",
+    "        - fixed: True if particle is spatially fixed, else False.\n",
+    "        \"\"\"\n",
+    "        domain.set_properties(Middle(xmin=xmin), self.MIDDLE)\n",
+    "        domain.set_properties(Edge1(xmax=xmax), self.EDGE1)\n",
+    "        domain.set_properties(Edge2(xmin=xmin), self.EDGE2)\n",
+    "        # Add the Domain to the Model\n",
     "        self.add_domain(domain)\n",
     "\n",
-    "        vol = self.domain.get_vol()\n",
-    "        print(f\"vol {vol}\")\n",
-    "        type_id = self.domain.type\n",
-    "        left = numpy.sum(vol[type_id == 2])\n",
-    "        right = numpy.sum(vol[type_id == 3])\n",
-    "        print(f\"left {left} right {right}\")\n",
+    "        # Define Species\n",
+    "        A = Species(name=\"A\", diffusion_coefficient=D_const, restrict_to=[self.MIDDLE, self.EDGE1])\n",
+    "        B = Species(name=\"B\", diffusion_coefficient=D_const, restrict_to=[self.MIDDLE, self.EDGE2])\n",
     "        \n",
-    "        k_react = spatialpy.Parameter(name=\"k_react\", expression=1.0)\n",
-    "        k_creat1 = spatialpy.Parameter(name=\"k_creat1\", expression=100 / left)\n",
-    "        k_creat2 = spatialpy.Parameter(name=\"k_creat2\", expression=100 / right)\n",
-    "        self.add_parameter([k_react, k_creat1,k_creat2])\n",
-    "\n",
+    "        # Add the Species to the Model.\n",
+    "        self.add_species([A, B])\n",
     "\n",
+    "        # Define Parameters\n",
+    "        vol = self.domain.get_vol()\n",
+    "        type_id = self.domain.type_id\n",
+    "        left = numpy.sum(vol[type_id == self.domain.get_type_def(self.EDGE1)])\n",
+    "        right = numpy.sum(vol[type_id == self.domain.get_type_def(self.EDGE2)])\n",
+    "        \n",
+    "        k_react = Parameter(name=\"k_react\", expression=1.0)\n",
+    "        k_creat1 = Parameter(name=\"k_creat1\", expression=100 / left)\n",
+    "        k_creat2 = Parameter(name=\"k_creat2\", expression=100 / right)\n",
+    "        \n",
+    "        # Add the Parameters to the Model.\n",
+    "        self.add_parameter([k_react, k_creat1, k_creat2])\n",
+    "        \n",
     "        # Define Reactions\n",
-    "        R1 = spatialpy.Reaction(reactants={}, products={A:1}, rate=k_creat1, restrict_to=2)\n",
-    "        R2 = spatialpy.Reaction(reactants={}, products={B:1}, rate=k_creat2, restrict_to=3)\n",
-    "        R3 = spatialpy.Reaction(reactants={A:1, B:1}, products={}, rate=k_react)\n",
+    "        R1 = Reaction(\n",
+    "            reactants={},\n",
+    "            products={\"A\":1},\n",
+    "            rate=\"k_creat1\",\n",
+    "            restrict_to=self.EDGE1\n",
+    "        )\n",
+    "        \n",
+    "        R2 = Reaction(\n",
+    "            reactants={},\n",
+    "            products={\"B\":1},\n",
+    "            rate=\"k_creat2\",\n",
+    "            restrict_to=self.EDGE2\n",
+    "        )\n",
+    "        \n",
+    "        R3 = Reaction(\n",
+    "            reactants={\"A\":1, \"B\":1},\n",
+    "            products={},\n",
+    "            rate=\"k_react\"\n",
+    "        )\n",
+    "        \n",
+    "        # Add the Reactions to the Model.\n",
     "        self.add_reaction([R1, R2, R3])\n",
     "        \n",
-    "        self.timespan(range(500), timestep_size=1e-3)"
+    "        \"\"\"\n",
+    "        Use NumPy to set the timespan of the Model. Reaction diffusion examples may require a small\n",
+    "        timespan_size (around 1e-3) to generate accurate deterministic results.\n",
+    "        \"\"\"\n",
+    "        self.timespan(numpy.linspace(0, 500, 501), timestep_size=1e-5)"
    ]
   },
   {
@@ -155,34 +205,23 @@
     "scrolled": true,
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "vol [0.01513526 0.07034112 0.02382667 ... 0.01674217 0.02120607 0.01969156]\n",
-      "left 0.5092013833059308 right 0.505804729089437\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "model = cylinderDemo3D()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Number of Timesteps: 499000\n",
-      "Output Frequency: 1000.0\n",
-      "Timestep Size: 0.001\n",
-      "CPU times: user 9.91 ms, sys: 7.13 ms, total: 17 ms\n",
-      "Wall time: 3min 15s\n"
+      "Number of Timesteps: 50000000\n",
+      "Output Frequency: 99999.99999999999\n",
+      "Timestep Size: 1e-05\n"
      ]
     }
    ],
@@ -195,21 +234,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Number of Timesteps: 499\n",
-      "Output Frequency: 1.0\n",
-      "Timestep Size: 1\n",
-      "CPU times: user 8.52 ms, sys: 6 ms, total: 14.5 ms\n",
-      "Wall time: 4.71 s\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "model.timestep_size = 1\n",
     "model.timespan(range(500))\n",
@@ -231,7 +258,39 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def check_accuracy(results, deterministic=False):\n",
+    "    fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(15, 4.5))\n",
+    "\n",
+    "    tspan = results.get_timespan()\n",
+    "    A_sum = numpy.sum(results.get_species(\"A\", deterministic=deterministic), axis=1)\n",
+    "    B_sum = numpy.sum(results.get_species(\"B\", deterministic=deterministic), axis=1)\n",
+    "\n",
+    "    ax1.plot(tspan, A_sum, '-r', label=\"A\")\n",
+    "    ax1.plot(tspan, B_sum, '-b', label=\"B\")\n",
+    "    ax1.set_xlabel(\"Time\", fontsize=14)\n",
+    "    ax1.tick_params(axis=\"x\", labelsize=12)\n",
+    "    ax1.tick_params(axis=\"y\", labelsize=12)\n",
+    "    _ = ax1.legend(loc='best')\n",
+    "\n",
+    "    x_vals = results.model.domain.coordinates()[:, 0]\n",
+    "    A_vals = numpy.sum(results.get_species(\"A\", deterministic=deterministic), axis=0)\n",
+    "    B_vals = numpy.sum(results.get_species(\"B\", deterministic=deterministic), axis=0)\n",
+    "\n",
+    "    ax2.plot(x_vals, A_vals, '.r')\n",
+    "    ax2.plot(x_vals, B_vals, '.b')\n",
+    "    ax2.set_xlabel(\"X-Coordinate\", fontsize=14)\n",
+    "    ax2.tick_params(axis=\"x\", labelsize=12)\n",
+    "    ax2.tick_params(axis=\"y\", labelsize=12)\n",
+    "    _ = ax2.legend(['A', 'B'], loc='best')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -265,19813 +324,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "        \n",
-       "        "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
-       "data": [
-        {
-         "type": "histogram",
-         "x": [
-          1565.224247,
-          1818.911328,
-          1922.47678,
-          1794.591662,
-          11221.832806,
-          10794.41376,
-          12893.225008,
-          12187.049807,
-          1345.121457,
-          1395.235998,
-          1407.277092,
-          1576.922575,
-          1635.088976,
-          1842.884785,
-          2022.056003,
-          1954.357444,
-          22269.938468,
-          19490.78128,
-          18656.609971,
-          21215.78276,
-          3423.891452,
-          2841.518872,
-          3216.957591,
-          3630.277363,
-          4195.806906,
-          4873.44433,
-          4170.196427,
-          4831.775357,
-          30275.682043,
-          31249.051993,
-          29245.695302,
-          32047.639268,
-          20658.792651,
-          20956.914957,
-          19645.764327,
-          22020.389133,
-          22959.236333,
-          24428.624824,
-          25101.203399,
-          25551.452841,
-          471.239802,
-          429.843113,
-          508.623088,
-          560.942909,
-          13086.620537,
-          13144.088836,
-          11830.03781,
-          13005.561052,
-          1719.676337,
-          1697.870045,
-          1950.988248,
-          1595.186823,
-          24149.579047,
-          20634.725206,
-          23264.45391,
-          22061.580822,
-          985.683333,
-          932.740161,
-          979.803708,
-          1181.024752,
-          354.999306,
-          526.395841,
-          353.345939,
-          416.28719,
-          348.085864,
-          24060.170595,
-          22642.92807,
-          23451.830795,
-          1328.561265,
-          1173.773788,
-          1164.887821,
-          1026.933212,
-          25113.389199,
-          24245.538865,
-          22292.560699,
-          27308.690851,
-          813.704888,
-          806.212751,
-          899.798717,
-          974.743232,
-          30378.504905,
-          32364.791354,
-          33649.664743,
-          32514.40482,
-          660.893186,
-          822.616904,
-          803.08697,
-          710.384566,
-          1307.833854,
-          1382.955037,
-          1493.398978,
-          2454.970968,
-          2992.704245,
-          3081.39456,
-          31755.523752,
-          39080.706873,
-          33044.209835,
-          32006.979231,
-          15810.050163,
-          14426.00843,
-          15129.602588,
-          15115.1645,
-          13520.192653,
-          14376.115281,
-          12018.989155,
-          17097.367949,
-          19109.717634,
-          17615.960033,
-          17922.40358,
-          16745.201696,
-          19730.373842,
-          3046.469553,
-          2648.347339,
-          2551.515518,
-          2850.611329,
-          3093.245676,
-          2791.222085,
-          2678.953483,
-          2942.052861,
-          10093.426983,
-          9723.119499,
-          11188.92264,
-          319.202405,
-          311.289874,
-          241.745461,
-          361.374258,
-          2151.636378,
-          2881.357799,
-          2310.112744,
-          2490.225368,
-          1469.670615,
-          1647.931206,
-          1552.261565,
-          204.363427,
-          383.978411,
-          14797.713488,
-          15681.448726,
-          14180.828657,
-          16632.519956,
-          23687.616108,
-          25033.543907,
-          25820.795168,
-          23192.849931,
-          23368.13313,
-          24448.632052,
-          27554.866417,
-          1451.230062,
-          1630.821948,
-          1707.085133,
-          5455.987831,
-          5124.987042,
-          4751.273205,
-          5648.034717,
-          4609.774732,
-          4656.983898,
-          3589.753185,
-          4273.545331,
-          29204.340751,
-          29253.469376,
-          31652.691289,
-          26898.313179,
-          14986.415883,
-          17172.253749,
-          15782.678685,
-          10030.252862,
-          10222.075778,
-          10246.035128,
-          9223.19773,
-          39080.706873,
-          9214.018308,
-          8490.991445,
-          8415.221431,
-          7729.472556,
-          7521.496596,
-          7711.710858,
-          8534.351226,
-          6814.03615,
-          1190.719602,
-          3079.887878,
-          3499.104935,
-          3089.427177,
-          2729.124187,
-          505.414467,
-          515.242785,
-          520.26973,
-          522.002968,
-          2336.843037,
-          2270.489158,
-          11740.140058,
-          13430.467631,
-          11739.81457,
-          33112.669057,
-          39080.706873,
-          39080.706873,
-          39080.706873,
-          4374.73274,
-          4016.770071,
-          3395.227348,
-          14421.037748,
-          12685.904001,
-          15262.129542,
-          13175.877825,
-          16320.259313,
-          5102.235025,
-          5657.804578,
-          5252.841223,
-          6093.533022,
-          12422.171919,
-          13824.078274,
-          11543.238822,
-          11205.69758,
-          10048.541308,
-          1787.401232,
-          1901.41049,
-          1576.381168,
-          330.838884,
-          170.989284,
-          187.613529,
-          173.414623,
-          257.960397,
-          3967.113363,
-          592.493716,
-          584.792098,
-          744.075369,
-          1171.294494,
-          965.203075,
-          1249.433578,
-          1003.243012,
-          20084.285918,
-          19701.484494,
-          20898.636235,
-          2020.125587,
-          2172.890137,
-          21259.714819,
-          32114.210204,
-          31777.861652,
-          33225.530183,
-          3513.27016,
-          2902.741593,
-          4174.668888,
-          4163.496761,
-          3678.027401,
-          4055.084026,
-          2338.316477,
-          1903.632424,
-          2344.791772,
-          546.744255,
-          625.641964,
-          437.391528,
-          427.039563,
-          16220.101864,
-          17853.137943,
-          15141.889195,
-          17666.23541,
-          1302.944496,
-          9653.031217,
-          8685.145823,
-          4917.592293,
-          5424.914879,
-          5523.998366,
-          982.865076,
-          854.719011,
-          961.711469,
-          12045.88419,
-          10536.333774,
-          12115.227079,
-          11657.757414,
-          6765.393138,
-          7104.891234,
-          7923.045378,
-          7959.853089,
-          744.755037,
-          644.966091,
-          770.590133,
-          9711.929454,
-          1196.355464,
-          1038.795101,
-          1380.530997,
-          1912.795858,
-          1640.567119,
-          1851.02117,
-          5231.371516,
-          5070.064929,
-          4464.203642,
-          4719.564727,
-          18184.519149,
-          20294.218332,
-          21524.483777,
-          20828.819892,
-          675.943475,
-          728.960502,
-          864.644525,
-          952.109281,
-          603.823006,
-          1047.524637,
-          1185.37806,
-          7744.644239,
-          8835.595945,
-          7892.716433,
-          8017.532669,
-          3358.960635,
-          3509.378573,
-          3893.301069,
-          5684.016347,
-          5233.971389,
-          6149.266561,
-          31889.203488,
-          29000.772641,
-          32798.918494,
-          30757.312671,
-          6225.612789,
-          6810.796216,
-          7189.617471,
-          6699.273703,
-          11509.966048,
-          1295.722486,
-          1419.110363,
-          297.31435,
-          1081.143565,
-          1270.408445,
-          1276.514874,
-          18071.17748,
-          8993.092569,
-          24171.730052,
-          1996.326597,
-          1811.885413,
-          2252.817487,
-          1994.730239,
-          29086.414505,
-          26696.020551,
-          30612.064917,
-          4842.472307,
-          5789.434164,
-          5601.393606,
-          33268.514195,
-          39080.706873,
-          39080.706873,
-          561.543428,
-          624.690877,
-          780.062687,
-          596.296057,
-          0,
-          184.556662,
-          0,
-          0,
-          24521.167108,
-          27195.377752,
-          27670.88771,
-          27833.128212,
-          8807.603137,
-          9628.133732,
-          10299.298556,
-          10350.135049,
-          9734.912044,
-          11459.248234,
-          256.617594,
-          212.474208,
-          164.727301,
-          0,
-          170.206612,
-          169.345003,
-          212.989704,
-          39080.706873,
-          39080.706873,
-          39080.706873,
-          12700.058712,
-          11329.764573,
-          13068.371509,
-          13176.216653,
-          16207.613159,
-          913.336749,
-          1054.937054,
-          1036.342525,
-          1136.522317,
-          7355.246252,
-          3574.37007,
-          3549.183835,
-          3660.559549,
-          1236.472665,
-          250.974209,
-          313.802964,
-          322.041613,
-          426.540352,
-          296.501711,
-          300.991035,
-          16360.377139,
-          15929.880937,
-          39080.706873,
-          32890.475301,
-          39080.706873,
-          39080.706873,
-          214.964371,
-          267.567414,
-          163.406497,
-          4852.811438,
-          4555.602776,
-          5539.93795,
-          30674.760816,
-          28392.072514,
-          13194.946064,
-          13585.330388,
-          7866.918048,
-          6510.334391,
-          10728.009775,
-          10157.679151,
-          11549.873796,
-          12045.269402,
-          3478.204493,
-          3904.105983,
-          534.577619,
-          732.401615,
-          2734.885683,
-          3489.985535,
-          971.299729,
-          739.779548,
-          807.871865,
-          8456.197878,
-          585.612337,
-          844.683207,
-          709.734657,
-          587.453854,
-          645.048726,
-          475.309249,
-          484.206617,
-          6058.103793,
-          6234.821247,
-          4636.958551,
-          13916.13966,
-          15019.616594,
-          15722.531258,
-          13612.431691,
-          21118.935458,
-          14034.7119,
-          12948.357657,
-          15194.404222,
-          170.72239,
-          0,
-          214.41869,
-          4093.870116,
-          3572.107346,
-          3718.666571,
-          2555.942911,
-          2692.216658,
-          3025.490217,
-          3215.729169,
-          25645.668086,
-          25827.272159,
-          27950.338337,
-          12813.937646,
-          16055.99292,
-          19042.152853,
-          17911.484167,
-          18773.149219,
-          1642.417848,
-          1991.69974,
-          1063.743219,
-          1222.018228,
-          17812.534432,
-          19584.476628,
-          20023.783934,
-          19162.93295,
-          31225.71776,
-          24131.212369,
-          26629.513708,
-          22698.989541,
-          16624.132278,
-          17834.678953,
-          14910.965963,
-          17331.611386,
-          6641.550988,
-          6891.014537,
-          6996.393223,
-          4207.05468,
-          4428.56328,
-          1001.112644,
-          3960.716737,
-          2086.089407,
-          29369.047956,
-          27699.717043,
-          7622.351589,
-          6458.757,
-          6483.817811,
-          276.746212,
-          24697.671603,
-          25266.286353,
-          11733.970611,
-          11220.877593,
-          8882.19471,
-          7905.528054,
-          1920.555225,
-          2409.404716,
-          2445.407049,
-          2501.508816,
-          1479.908811,
-          1487.111928,
-          846.715614,
-          1836.477364,
-          1528.933084,
-          2090.421473,
-          2030.997275,
-          32178.137996,
-          33128.611268,
-          12795.990351,
-          11419.205109,
-          13335.344786,
-          12067.769108,
-          23191.112273,
-          24468.72048,
-          182.318781,
-          223.45704,
-          5773.585825,
-          4247.307556,
-          5124.183093,
-          5043.610536,
-          3169.165626,
-          3590.898654,
-          3288.909174,
-          4764.949606,
-          5349.042627,
-          4284.128962,
-          4505.576537,
-          4198.113201,
-          4319.771079,
-          4653.302575,
-          3367.387496,
-          11566.89429,
-          1243.155154,
-          1110.788273,
-          970.878153,
-          1239.645458,
-          17462.526858,
-          18070.699387,
-          13500.874663,
-          21823.570878,
-          19635.208952,
-          545.74738,
-          1056.646068,
-          874.522853,
-          953.377038,
-          1073.897008,
-          3349.112609,
-          3816.599071,
-          3687.975363,
-          9756.397987,
-          39080.706873,
-          39080.706873,
-          2101.20511,
-          5288.152428,
-          357.632976,
-          359.579561,
-          484.849849,
-          503.538786,
-          2518.517481,
-          11162.405683,
-          9662.952957,
-          9617.231197,
-          1893.671283,
-          2130.770952,
-          8283.613701,
-          9162.115122,
-          9134.320009,
-          9577.346691,
-          6630.623063,
-          14594.167704,
-          14690.813304,
-          3217.502248,
-          0,
-          0,
-          158.489371,
-          163.964977,
-          8866.332292,
-          8159.115947,
-          8807.404638,
-          9114.429165,
-          6190.539148,
-          171.771889,
-          0,
-          0,
-          164.859897,
-          11388.309148,
-          10463.968435,
-          10341.500199,
-          39080.706873,
-          627.077586,
-          5671.433868,
-          1685.45896,
-          18752.923121,
-          8589.104078,
-          6680.980066,
-          6488.865235,
-          7521.679664,
-          7046.014356,
-          191.113765,
-          319.687317,
-          156.950438,
-          2225.00435,
-          18297.507351,
-          225.541288,
-          2724.342608,
-          33153.569317,
-          29994.376791,
-          33061.554283,
-          335.6551,
-          520.165386,
-          258.105873,
-          212.625559,
-          27107.823646,
-          29052.207417,
-          30390.73185,
-          1255.991305,
-          11263.136572,
-          32395.182165,
-          32015.770211,
-          30664.745409,
-          39080.706873,
-          671.464938,
-          2694.17022,
-          3243.515866,
-          218.548089,
-          280.603993,
-          855.368673,
-          1088.569772,
-          6702.956042,
-          6066.355985,
-          6854.313271,
-          7288.013403,
-          2135.97204,
-          1553.657021,
-          1399.553014,
-          285.127222,
-          1376.094607,
-          551.749519,
-          10734.312264,
-          29600.381323,
-          33009.904924,
-          667.446167,
-          737.667025,
-          2404.589037,
-          2745.568997,
-          2292.232326,
-          5436.636823,
-          4754.890887,
-          5510.5987,
-          5223.183046,
-          9295.784305,
-          2556.885272,
-          2367.488453,
-          33189.47066,
-          853.726387,
-          0,
-          175.063817,
-          31543.112279,
-          32302.508299,
-          317.105956,
-          572.290092,
-          411.744382,
-          468.481131,
-          3469.712998,
-          3852.910448,
-          4062.329859,
-          4446.789064,
-          3888.317798,
-          3239.341261,
-          1450.111955,
-          1584.444976,
-          1739.029901,
-          31092.865151,
-          29447.237645,
-          28048.726038,
-          27412.588566,
-          4844.124006,
-          27075.170801,
-          3033.713518,
-          3080.134247,
-          30763.59859,
-          33047.549635,
-          3084.518261,
-          5672.728089,
-          6717.658333,
-          4627.358531,
-          4620.645169,
-          10488.136334,
-          583.562571,
-          706.343421,
-          867.811417,
-          960.19698,
-          1106.74379,
-          7385.512032,
-          7580.071122,
-          1155.013263,
-          1123.939735,
-          1306.053745,
-          19394.102548,
-          21708.69301,
-          23866.669683,
-          20659.771125,
-          10435.400548,
-          8506.953367,
-          8990.806531,
-          7894.600863,
-          7898.462834,
-          3196.98732,
-          207.511194,
-          1342.747955,
-          1277.779061,
-          1375.087613,
-          12375.356285,
-          11366.013515,
-          32201.00245,
-          206.428619,
-          18913.06314,
-          19473.77271,
-          20495.135862,
-          469.09133,
-          7377.800729,
-          4295.661846,
-          15767.981083,
-          17684.895453,
-          17231.167077,
-          17881.141502,
-          8275.478852,
-          3808.911623,
-          39080.706873,
-          32283.164533,
-          39080.706873,
-          842.906748,
-          1455.81625,
-          1583.458021,
-          1829.958154,
-          1574.891247,
-          15641.999558,
-          147.857046,
-          197.435176,
-          16652.56973,
-          786.423169,
-          352.29945,
-          330.329431,
-          531.360636,
-          726.916554,
-          6138.75971,
-          6324.451098,
-          6484.107881,
-          31459.992889,
-          39080.706873,
-          39080.706873,
-          1288.277242,
-          5200.216467,
-          5283.919962,
-          5804.284562,
-          0,
-          4279.030552,
-          0,
-          0,
-          25775.721028,
-          1170.90326,
-          6230.502429,
-          7872.681922,
-          2537.615391,
-          2212.923845,
-          13576.50164,
-          7724.313425,
-          21485.985823,
-          21298.068074,
-          428.140567,
-          400.826556,
-          331.793111,
-          388.551813,
-          12751.239999,
-          14869.714628,
-          0,
-          21458.883778,
-          19346.328032,
-          9317.618602,
-          5350.620293,
-          376.486666,
-          311.654681,
-          336.398843,
-          209.097003,
-          293.663675,
-          345.724696,
-          32037.811091,
-          31507.712292,
-          31295.393304,
-          372.135623,
-          470.184264,
-          558.100119,
-          22324.195336,
-          373.018863,
-          513.858548,
-          1721.157195,
-          666.218709,
-          39080.706873,
-          1839.438688,
-          199.857679,
-          174.504831,
-          272.405423,
-          15749.024885,
-          17496.487442,
-          16585.601395,
-          16636.201562,
-          0,
-          2100.28447,
-          11474.79039,
-          24838.952192,
-          463.096737,
-          2339.860957,
-          6173.532592,
-          611.32216,
-          16530.591089,
-          27916.788724,
-          0,
-          0,
-          207.197393,
-          1639.426936,
-          27355.806261,
-          26995.905245,
-          28511.366391,
-          983.926357,
-          14210.273267,
-          1935.540684,
-          3648.399359,
-          0,
-          0,
-          17671.52007,
-          24623.169573,
-          22036.222446,
-          24038.294338,
-          24021.202888,
-          1169.706839,
-          148.849584,
-          14269.153068,
-          26596.673947,
-          7622.540277,
-          39080.706873,
-          177.904916,
-          3199.862074,
-          8407.733198,
-          8561.556374,
-          8732.143125,
-          27622.358303,
-          26389.145904,
-          39080.706873,
-          6562.297667,
-          7379.129256,
-          2967.481252,
-          2107.468043,
-          19785.413828,
-          20953.039168,
-          2795.859236,
-          3562.699614,
-          15362.201212,
-          15464.898729,
-          39080.706873,
-          23511.759808,
-          7478.038735,
-          7150.276802,
-          23879.590146,
-          3347.579024,
-          12076.652231,
-          13698.164555,
-          8931.549878,
-          21053.092984,
-          10403.570025,
-          10616.884473,
-          0,
-          0,
-          0,
-          2361.808041,
-          1103.476378,
-          0,
-          5818.275757,
-          24214.125171,
-          6635.359748,
-          2606.015232,
-          171.936137,
-          16055.532701,
-          17612.035622,
-          23597.578067,
-          1757.991872,
-          17903.405195,
-          4681.278603,
-          4850.246942,
-          2357.36547,
-          2789.861152,
-          3516.757381,
-          10236.888837,
-          9559.775237,
-          13985.164003,
-          730.404527,
-          1345.734571,
-          3729.021544,
-          1569.157205,
-          779.73235,
-          1839.590158,
-          22168.619126,
-          20408.375319,
-          646.668956,
-          21562.278811,
-          2589.058683,
-          480.26355,
-          592.415366,
-          0,
-          188.067256,
-          3836.512775,
-          1725.625842,
-          1380.923337,
-          1399.917938,
-          6237.498796,
-          5721.453022,
-          39080.706873,
-          212.038529,
-          16382.201402,
-          5495.676534,
-          4285.908728,
-          39080.706873,
-          39080.706873,
-          39080.706873,
-          0,
-          13148.787414,
-          28118.729286,
-          3184.030732,
-          4604.699547,
-          2393.127138,
-          2675.640798,
-          2111.080138,
-          6334.316729,
-          14071.493772,
-          1203.071752,
-          282.193167,
-          39080.706873,
-          39080.706873,
-          5947.88827,
-          6583.632284,
-          21354.595532,
-          29360.713789,
-          883.99247,
-          2509.596645,
-          31465.557157,
-          39080.706873,
-          31010.773178,
-          0,
-          0,
-          0,
-          39080.706873,
-          27856.543698,
-          26377.713237,
-          279.287783,
-          2369.900188,
-          2780.982856,
-          7913.050323,
-          1956.467938,
-          17783.746012,
-          10738.206206,
-          2685.079153,
-          10790.608227,
-          5864.677666,
-          574.166931,
-          4259.243598,
-          26652.014956,
-          0,
-          0,
-          9442.740819,
-          10381.612021,
-          39080.706873,
-          476.111071,
-          0,
-          0,
-          0,
-          26608.236251,
-          174.1379,
-          0,
-          27194.642483,
-          719.662943,
-          627.427205,
-          19515.502501,
-          2875.612689,
-          2116.238956,
-          1675.281244,
-          22641.700777,
-          1469.397928,
-          3965.357246,
-          701.323369,
-          835.296288,
-          3837.824301,
-          3987.036853,
-          0,
-          0,
-          2583.086252,
-          2739.381655,
-          1531.857327,
-          1436.245221,
-          18099.296,
-          14900.854602,
-          39080.706873,
-          0,
-          1367.990745,
-          22442.848462,
-          22901.148449,
-          5078.553507,
-          5347.805452,
-          8838.30172,
-          5735.091989,
-          5471.475196,
-          1279.419824,
-          12538.31871,
-          32477.818001,
-          39080.706873,
-          2804.435878,
-          6266.276308,
-          6439.80459,
-          39080.706873,
-          2845.602368,
-          4151.775997,
-          19644.495154,
-          10682.799177,
-          7282.096179,
-          537.109338,
-          429.757827,
-          2428.465389,
-          26278.066235,
-          623.282083,
-          0,
-          447.252327,
-          8163.969048,
-          6658.188944,
-          21648.187016,
-          762.003388,
-          0,
-          754.610925,
-          5057.885795,
-          3187.533237,
-          7408.761237,
-          8708.944777,
-          1586.82541,
-          725.614148,
-          2362.431269,
-          178.793746,
-          1632.767548,
-          0,
-          6704.965994,
-          2100.184942,
-          2094.940904,
-          170.819651,
-          1913.453666,
-          857.738935,
-          2119.99269,
-          11678.045403,
-          984.866496,
-          8241.466013,
-          11419.897505,
-          2670.023256,
-          4414.899186,
-          2306.774209,
-          5879.33931,
-          12490.313327,
-          6143.441017,
-          13407.595289,
-          905.529349,
-          19513.576088
-         ]
-        },
-        {
-         "type": "histogram",
-         "x": [
-          0,
-          0,
-          0,
-          0,
-          23,
-          10,
-          23,
-          24,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          29,
-          49,
-          27,
-          36,
-          0,
-          0,
-          0,
-          0,
-          0,
-          1,
-          0,
-          0,
-          63,
-          46,
-          53,
-          63,
-          30,
-          33,
-          44,
-          46,
-          47,
-          44,
-          46,
-          44,
-          0,
-          0,
-          0,
-          0,
-          20,
-          21,
-          20,
-          16,
-          0,
-          0,
-          0,
-          0,
-          51,
-          38,
-          36,
-          51,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          33,
-          40,
-          45,
-          0,
-          0,
-          0,
-          0,
-          45,
-          33,
-          39,
-          38,
-          0,
-          0,
-          0,
-          0,
-          51,
-          58,
-          54,
-          63,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          50,
-          69,
-          46,
-          52,
-          28,
-          19,
-          24,
-          23,
-          26,
-          27,
-          17,
-          35,
-          43,
-          26,
-          37,
-          25,
-          29,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          20,
-          13,
-          20,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          28,
-          30,
-          29,
-          21,
-          38,
-          52,
-          51,
-          40,
-          46,
-          44,
-          53,
-          0,
-          0,
-          0,
-          2,
-          4,
-          1,
-          4,
-          0,
-          0,
-          0,
-          0,
-          44,
-          38,
-          61,
-          46,
-          25,
-          26,
-          29,
-          10,
-          9,
-          10,
-          18,
-          80,
-          19,
-          11,
-          9,
-          10,
-          4,
-          7,
-          15,
-          8,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          18,
-          24,
-          24,
-          82,
-          62,
-          65,
-          66,
-          0,
-          0,
-          0,
-          26,
-          17,
-          33,
-          18,
-          28,
-          2,
-          8,
-          1,
-          8,
-          16,
-          31,
-          24,
-          20,
-          24,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          49,
-          32,
-          40,
-          0,
-          0,
-          26,
-          53,
-          59,
-          55,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          21,
-          37,
-          26,
-          27,
-          0,
-          16,
-          13,
-          1,
-          0,
-          2,
-          0,
-          0,
-          0,
-          15,
-          16,
-          24,
-          19,
-          4,
-          6,
-          7,
-          13,
-          0,
-          0,
-          0,
-          16,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          1,
-          2,
-          0,
-          1,
-          32,
-          26,
-          44,
-          43,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          11,
-          11,
-          16,
-          12,
-          0,
-          0,
-          0,
-          5,
-          3,
-          2,
-          51,
-          47,
-          43,
-          45,
-          10,
-          7,
-          6,
-          5,
-          19,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          33,
-          15,
-          50,
-          0,
-          0,
-          0,
-          0,
-          40,
-          42,
-          50,
-          0,
-          5,
-          2,
-          58,
-          56,
-          63,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          33,
-          51,
-          45,
-          52,
-          12,
-          20,
-          15,
-          18,
-          17,
-          12,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          69,
-          59,
-          57,
-          19,
-          21,
-          23,
-          18,
-          19,
-          0,
-          0,
-          0,
-          0,
-          10,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          16,
-          32,
-          63,
-          68,
-          59,
-          51,
-          0,
-          0,
-          0,
-          0,
-          0,
-          1,
-          37,
-          69,
-          21,
-          22,
-          12,
-          8,
-          12,
-          16,
-          17,
-          15,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          16,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          6,
-          4,
-          0,
-          25,
-          19,
-          27,
-          23,
-          33,
-          27,
-          22,
-          25,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          36,
-          48,
-          54,
-          23,
-          32,
-          28,
-          25,
-          34,
-          0,
-          0,
-          0,
-          0,
-          34,
-          31,
-          31,
-          31,
-          60,
-          45,
-          43,
-          42,
-          33,
-          32,
-          24,
-          40,
-          8,
-          9,
-          6,
-          0,
-          0,
-          0,
-          0,
-          0,
-          49,
-          40,
-          9,
-          6,
-          8,
-          0,
-          51,
-          51,
-          18,
-          15,
-          13,
-          10,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          54,
-          57,
-          21,
-          23,
-          25,
-          24,
-          36,
-          44,
-          0,
-          0,
-          5,
-          0,
-          1,
-          3,
-          0,
-          0,
-          0,
-          0,
-          1,
-          1,
-          0,
-          0,
-          0,
-          0,
-          0,
-          15,
-          0,
-          0,
-          0,
-          0,
-          26,
-          31,
-          22,
-          36,
-          36,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          15,
-          55,
-          73,
-          0,
-          3,
-          0,
-          0,
-          0,
-          0,
-          0,
-          16,
-          13,
-          14,
-          0,
-          0,
-          10,
-          16,
-          13,
-          18,
-          6,
-          18,
-          26,
-          0,
-          0,
-          0,
-          0,
-          0,
-          8,
-          10,
-          10,
-          8,
-          1,
-          0,
-          0,
-          0,
-          0,
-          17,
-          16,
-          13,
-          58,
-          0,
-          3,
-          0,
-          23,
-          13,
-          12,
-          9,
-          9,
-          7,
-          0,
-          0,
-          0,
-          0,
-          30,
-          0,
-          0,
-          61,
-          44,
-          69,
-          0,
-          0,
-          0,
-          0,
-          51,
-          61,
-          78,
-          0,
-          18,
-          47,
-          56,
-          49,
-          70,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          5,
-          5,
-          7,
-          11,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          19,
-          54,
-          72,
-          0,
-          0,
-          0,
-          0,
-          0,
-          2,
-          1,
-          4,
-          3,
-          6,
-          0,
-          0,
-          50,
-          0,
-          0,
-          0,
-          41,
-          54,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          61,
-          51,
-          45,
-          39,
-          2,
-          35,
-          0,
-          0,
-          56,
-          54,
-          0,
-          7,
-          6,
-          0,
-          0,
-          16,
-          0,
-          0,
-          0,
-          0,
-          0,
-          9,
-          9,
-          0,
-          0,
-          0,
-          41,
-          38,
-          26,
-          35,
-          17,
-          9,
-          17,
-          10,
-          21,
-          0,
-          0,
-          0,
-          0,
-          0,
-          28,
-          12,
-          62,
-          0,
-          30,
-          26,
-          37,
-          0,
-          13,
-          0,
-          25,
-          27,
-          23,
-          25,
-          7,
-          0,
-          65,
-          51,
-          61,
-          0,
-          0,
-          0,
-          0,
-          0,
-          21,
-          0,
-          0,
-          29,
-          0,
-          0,
-          0,
-          0,
-          0,
-          6,
-          2,
-          12,
-          44,
-          84,
-          57,
-          0,
-          2,
-          4,
-          4,
-          0,
-          1,
-          0,
-          0,
-          45,
-          0,
-          6,
-          12,
-          0,
-          0,
-          33,
-          14,
-          36,
-          47,
-          0,
-          0,
-          0,
-          0,
-          21,
-          21,
-          0,
-          37,
-          39,
-          10,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          47,
-          50,
-          60,
-          0,
-          0,
-          0,
-          33,
-          0,
-          0,
-          0,
-          0,
-          59,
-          0,
-          0,
-          0,
-          0,
-          26,
-          30,
-          14,
-          19,
-          0,
-          0,
-          21,
-          49,
-          0,
-          0,
-          6,
-          0,
-          39,
-          56,
-          0,
-          0,
-          0,
-          0,
-          43,
-          52,
-          52,
-          0,
-          23,
-          0,
-          0,
-          0,
-          0,
-          25,
-          58,
-          46,
-          47,
-          45,
-          0,
-          0,
-          26,
-          35,
-          9,
-          54,
-          0,
-          0,
-          13,
-          14,
-          11,
-          58,
-          33,
-          57,
-          6,
-          6,
-          0,
-          0,
-          30,
-          34,
-          0,
-          0,
-          34,
-          24,
-          63,
-          45,
-          8,
-          14,
-          46,
-          0,
-          15,
-          31,
-          14,
-          47,
-          16,
-          23,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          4,
-          36,
-          2,
-          0,
-          0,
-          32,
-          40,
-          31,
-          0,
-          36,
-          1,
-          1,
-          0,
-          0,
-          0,
-          19,
-          15,
-          25,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          36,
-          35,
-          0,
-          37,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          7,
-          6,
-          62,
-          0,
-          22,
-          3,
-          0,
-          55,
-          61,
-          66,
-          0,
-          19,
-          45,
-          0,
-          0,
-          0,
-          0,
-          0,
-          5,
-          30,
-          0,
-          0,
-          54,
-          62,
-          7,
-          8,
-          38,
-          46,
-          0,
-          0,
-          51,
-          68,
-          67,
-          0,
-          0,
-          0,
-          58,
-          45,
-          46,
-          0,
-          0,
-          0,
-          15,
-          0,
-          41,
-          17,
-          0,
-          21,
-          4,
-          0,
-          0,
-          50,
-          0,
-          0,
-          12,
-          13,
-          79,
-          0,
-          0,
-          0,
-          0,
-          37,
-          0,
-          0,
-          41,
-          0,
-          0,
-          31,
-          0,
-          0,
-          0,
-          35,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          30,
-          23,
-          72,
-          0,
-          0,
-          35,
-          29,
-          1,
-          2,
-          18,
-          2,
-          5,
-          0,
-          16,
-          48,
-          64,
-          0,
-          3,
-          7,
-          49,
-          0,
-          0,
-          24,
-          20,
-          11,
-          0,
-          0,
-          0,
-          50,
-          0,
-          0,
-          0,
-          15,
-          7,
-          46,
-          0,
-          0,
-          0,
-          0,
-          0,
-          6,
-          11,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          6,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          21,
-          0,
-          12,
-          20,
-          0,
-          0,
-          0,
-          1,
-          21,
-          8,
-          32,
-          0,
-          44
-         ]
-        },
-        {
-         "type": "histogram",
-         "x": [
-          0,
-          0,
-          0,
-          0,
-          472.8715639712987,
-          158.18279603910278,
-          413.2008695183515,
-          471.08703332940763,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          453.82701366175803,
-          1256.1525840853158,
-          375.4432315928526,
-          925.6164348340319,
-          0,
-          0,
-          0,
-          0,
-          0,
-          50.74081591231987,
-          0,
-          0,
-          1841.5667933352822,
-          860.6335010945013,
-          979.4138300624606,
-          1140.6431054461182,
-          921.8572350428663,
-          2217.592903702708,
-          2768.6886483765416,
-          2667.9039554576034,
-          2713.782550955598,
-          1115.9015977681968,
-          4336.758744225512,
-          2324.352879027998,
-          0,
-          0,
-          0,
-          0,
-          557.2117125901987,
-          518.6593889698437,
-          476.3719512195122,
-          347.6749239461104,
-          0,
-          0,
-          0,
-          0,
-          822.567377945517,
-          565.5519340387849,
-          907.3266628021272,
-          1735.4022049816251,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          3376.649953954773,
-          5040.957781978576,
-          734.8138471587198,
-          0,
-          0,
-          0,
-          0,
-          2962.670353545329,
-          695.9235749383158,
-          703.6281956447219,
-          530.3929094842626,
-          0,
-          0,
-          0,
-          0,
-          2509.2250922509224,
-          885.1178122329386,
-          1865.6716417910447,
-          7000.777864207134,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          4111.1659266568,
-          6678.2810685249715,
-          934.5414651984885,
-          4047.9526700918573,
-          673.4978592389474,
-          428.44901456726654,
-          716.3965254768514,
-          477.1982239926968,
-          1662.8293681248401,
-          635.9674949947002,
-          824.9223602484471,
-          821.1721646098259,
-          1603.7595106668657,
-          1410.8964619057956,
-          684.7793899911164,
-          913.3087348847404,
-          1668.4885794833438,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          336.07797008906067,
-          250.64589519145488,
-          411.7683391324041,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          393.13695206537307,
-          689.2748828232699,
-          826.65830506542,
-          465.86951216806796,
-          1855.5593534840568,
-          1060.4453870625662,
-          4486.671945104249,
-          2822.068576266403,
-          1874.2615002240966,
-          1010.5417881996278,
-          872.1265077092693,
-          0,
-          0,
-          0,
-          48.944032498837586,
-          136.75681219870765,
-          31.376486461046095,
-          113.10298026352994,
-          0,
-          0,
-          0,
-          0,
-          721.7492577465019,
-          2063.8713882250704,
-          4773.830020347473,
-          2388.6177173122855,
-          1443.6680718369234,
-          512.5879778404275,
-          2575.4884547069273,
-          497.88399302962415,
-          1046.146693014065,
-          226.2750599628909,
-          983.1767533318767,
-          7190.364911019234,
-          290.1339197092553,
-          339.1189074205383,
-          195.69471624266143,
-          222.22222222222223,
-          132.3845771967566,
-          169.68462899667904,
-          638.8959877331971,
-          419.99160016799664,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          299.4609702535436,
-          460.7941018354965,
-          655.3079947575361,
-          2160.68087797423,
-          4933.163590070019,
-          4170.676932948348,
-          9243.697478991597,
-          0,
-          0,
-          0,
-          970.6925518013813,
-          922.9098805646038,
-          613.5197441808582,
-          341.99076624931126,
-          621.7524537016477,
-          135.21736190926916,
-          160.61676839062,
-          46.68534080298786,
-          478.9272030651341,
-          742.080608506099,
-          1233.7817400302476,
-          3955.174686882004,
-          1582.1533106558027,
-          3234.065489826169,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          3247.183565275017,
-          719.7480881691408,
-          2728.1407720638385,
-          0,
-          0,
-          2121.4099216710183,
-          3831.417624521073,
-          1527.7454102902716,
-          2073.12476441764,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          770.7270525195435,
-          3446.669771774569,
-          1569.9535052231147,
-          1624.2555495397944,
-          0,
-          421.5962688730205,
-          409.8102263413404,
-          56.12617163383286,
-          0,
-          128.73326467559218,
-          0,
-          0,
-          0,
-          345.1449608835711,
-          316.3493287462681,
-          457.48270143535194,
-          610.5790860595154,
-          72.1071512267229,
-          149.4880035877121,
-          152.97537096527458,
-          304.32136335970785,
-          0,
-          0,
-          0,
-          226.10047339786618,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          56.637970095151786,
-          65.75702778234424,
-          0,
-          42.66393617475148,
-          1008.3504017646133,
-          665.4381654381654,
-          1055.2824079625855,
-          807.7392692777308,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          258.38579347928214,
-          296.0251890524503,
-          431.7206767221608,
-          625.912789484665,
-          0,
-          0,
-          0,
-          143.52144210345025,
-          72.19521586369544,
-          51.09992590510744,
-          1268.4989429175475,
-          1348.4435518576963,
-          1060.497694034084,
-          1094.9704357982334,
-          262.88117770767616,
-          141.24008797239765,
-          180.10986701888152,
-          130.7462998797134,
-          428.58431832536314,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          632.5353165551743,
-          325.8602711157456,
-          3312.3550844650545,
-          0,
-          0,
-          0,
-          0,
-          818.3640901837227,
-          961.6925789389326,
-          785.8669684395826,
-          0,
-          135.40228017439813,
-          31.31998058161204,
-          1579.9509670389539,
-          5437.421108845519,
-          6688.6081324981415,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          1155.0981833455844,
-          887.5585179513062,
-          745.4156934850669,
-          2259.396046056919,
-          266.6311158512199,
-          837.3456144023446,
-          1296.9047207331835,
-          929.6080152868874,
-          425.89437819420783,
-          313.22596643261727,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          2717.284290946324,
-          2759.846571241463,
-          1830.501942901185,
-          1230.809095031418,
-          734.5225603357817,
-          1259.0321874315744,
-          298.70560902754727,
-          296.92139396780743,
-          0,
-          0,
-          0,
-          0,
-          232.35820340637127,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          262.2821828434667,
-          1900.801900801901,
-          3784.693019343986,
-          1880.9991424856848,
-          2957.9865637220496,
-          5067.5675675675675,
-          0,
-          0,
-          0,
-          0,
-          0,
-          17.903179604697794,
-          939.5632300660234,
-          3053.2324439134472,
-          352.89372857430936,
-          535.6968929580208,
-          190.51852792684087,
-          149.58024045023652,
-          302.1071977039853,
-          701.7236086136573,
-          1055.114200595829,
-          426.64542920530175,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          400.5607850991388,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          588.3506569915669,
-          283.7281883955171,
-          0,
-          2019.712392955243,
-          444.5276309016892,
-          1867.9950186799501,
-          1184.6510430079834,
-          810.4921898025345,
-          605.5169320475443,
-          1430.615164520744,
-          1163.819189050789,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          2007.0245860511789,
-          1478.2421237411845,
-          893.9805310906563,
-          1599.2212487832012,
-          1801.9032603187115,
-          933.8313767342582,
-          839.348665435622,
-          1214.4592084583512,
-          0,
-          0,
-          0,
-          0,
-          857.8926120306822,
-          741.6445369506447,
-          1358.5765623630466,
-          3014.0982012639765,
-          1143.7503574219868,
-          1395.3488372093022,
-          777.070984530866,
-          1202.9558343357965,
-          1950.4698859270643,
-          486.64760630208656,
-          1615.1827175449223,
-          2882.6751225136927,
-          129.5756397797214,
-          181.4845435663729,
-          138.78287419332455,
-          0,
-          0,
-          0,
-          0,
-          0,
-          3201.358944204887,
-          2305.2097740894424,
-          182.29324907334265,
-          282.03440819780013,
-          171.0717646052519,
-          0,
-          2402.2609514837495,
-          2251.8544683857294,
-          1737.1163867979155,
-          1088.139281828074,
-          246.8338807982228,
-          250.84031505543572,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          5748.350010645093,
-          2352.9411764705883,
-          1718.0724862963266,
-          1989.9636615331372,
-          1127.4974067559644,
-          604.2600332343018,
-          2625.4375729288213,
-          2090.0627018810565,
-          0,
-          0,
-          155.53067064825183,
-          0,
-          44.08393581378946,
-          48.07076015895398,
-          0,
-          0,
-          0,
-          0,
-          21.15014487849242,
-          24.85089463220676,
-          0,
-          0,
-          0,
-          0,
-          0,
-          1107.6650420912715,
-          0,
-          0,
-          0,
-          0,
-          660.6362435206829,
-          804.5469881394201,
-          430.4609845816702,
-          813.8719960210702,
-          716.574772587034,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          792.8956549318109,
-          3224.104578228501,
-          4803.579653879055,
-          0,
-          101.02370689655173,
-          0,
-          0,
-          0,
-          0,
-          0,
-          332.64724838354226,
-          244.91333835719666,
-          268.06058169146223,
-          0,
-          0,
-          648.5925541574783,
-          951.7011658339281,
-          289.2810253899731,
-          1036.2694300518135,
-          440.43162299053074,
-          836.0039013515395,
-          1336.8296570517764,
-          0,
-          0,
-          0,
-          0,
-          0,
-          199.61075901991117,
-          514.7740142077628,
-          740.7956144899622,
-          218.43003412969284,
-          80.37293039704228,
-          0,
-          0,
-          0,
-          0,
-          465.3454505638892,
-          1160.4293588627793,
-          451.52999201139244,
-          6638.434245164244,
-          0,
-          111.85682326621924,
-          0,
-          636.3083052066619,
-          465.33271288971616,
-          283.145749274439,
-          1106.6027296200664,
-          446.7609828741623,
-          393.2805213776055,
-          0,
-          0,
-          0,
-          0,
-          1815.5410312273057,
-          0,
-          0,
-          1469.9503590534484,
-          1156.9813305285302,
-          2289.012738853503,
-          0,
-          0,
-          0,
-          0,
-          4851.598173515981,
-          4198.788546255507,
-          3423.1545685947513,
-          0,
-          413.13778145011366,
-          4808.1841432225065,
-          4045.0736781277087,
-          3361.6904500548844,
-          3622.8133733567956,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          119.52857928330664,
-          105.54980895484579,
-          315.5711838427554,
-          237.68366464995677,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          1610.3059581320451,
-          1089.940255126756,
-          1834.4883815735834,
-          0,
-          0,
-          0,
-          0,
-          0,
-          60.66672733339399,
-          26.32895395065954,
-          83.22929671244279,
-          218.7067142961289,
-          96.95402763189787,
-          0,
-          0,
-          1816.7944478761672,
-          0,
-          0,
-          0,
-          2064.867042707494,
-          4733.52033660589,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          3345.0318052204434,
-          4237.28813559322,
-          2872.6460261729976,
-          718.311415626036,
-          118.7507421921387,
-          1534.8184529029993,
-          0,
-          0,
-          2025.5362245451586,
-          1265.6447756996201,
-          0,
-          119.5886151638364,
-          90.21064184871675,
-          0,
-          0,
-          299.7601918465228,
-          0,
-          0,
-          0,
-          0,
-          0,
-          163.71971185330713,
-          426.884219513352,
-          0,
-          0,
-          0,
-          920.8930416423342,
-          616.2728466940205,
-          615.2244386076998,
-          2315.2741946153337,
-          599.5415270675365,
-          204.6989787795392,
-          847.3309076409311,
-          461.68051708217916,
-          744.5752375549567,
-          0,
-          0,
-          0,
-          0,
-          0,
-          1294.618087664139,
-          891.5967010922059,
-          7099.507614794458,
-          0,
-          683.6671908115129,
-          1358.6246538119872,
-          2272.8668837152163,
-          0,
-          663.1976328946025,
-          0,
-          1653.7672818680956,
-          3468.208092485549,
-          580.3391199031086,
-          1210.4778966736067,
-          266.859822347604,
-          0,
-          7182.32044198895,
-          4994.613651943982,
-          7202.739402526862,
-          0,
-          0,
-          0,
-          0,
-          0,
-          922.3876663592041,
-          0,
-          0,
-          906.2216805724821,
-          0,
-          0,
-          0,
-          0,
-          0,
-          330.9431880860452,
-          30.384054448225573,
-          723.8508867173363,
-          1846.7995802728228,
-          13513.513513513513,
-          3273.980470993682,
-          0,
-          282.60562385191463,
-          170.77231780728346,
-          343.878954607978,
-          0,
-          50.69194504993156,
-          0,
-          0,
-          978.4097580066532,
-          0,
-          150.31189718666232,
-          239.48271733056598,
-          0,
-          0,
-          852.6691127073536,
-          473.7412019491067,
-          1738.7104564114948,
-          2886.977886977887,
-          0,
-          0,
-          0,
-          0,
-          868.7378480122451,
-          427.72470823064543,
-          0,
-          703.6227060948939,
-          2330.445174783388,
-          719.2174913693901,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          4927.65778989306,
-          5041.33897963299,
-          1892.9236205319114,
-          0,
-          0,
-          0,
-          733.5615524829948,
-          0,
-          0,
-          0,
-          0,
-          3056.519711961871,
-          0,
-          0,
-          0,
-          0,
-          1331.4897321657193,
-          1983.0777366472764,
-          896.2294347352922,
-          622.8282960729038,
-          0,
-          0,
-          1500.7503751875938,
-          2432.1238894128155,
-          0,
-          0,
-          488.20179007323026,
-          0,
-          1833.1374853113984,
-          1673.2901066722445,
-          0,
-          0,
-          0,
-          0,
-          1163.8292689528243,
-          6983.615363953801,
-          3943.5765205521006,
-          0,
-          1648.1547832318165,
-          0,
-          0,
-          0,
-          0,
-          1452.3062623446033,
-          2581.4491721559552,
-          4482.120237747247,
-          6346.205779098028,
-          762.3500711526733,
-          0,
-          0,
-          1546.5143944801332,
-          816.5169718884871,
-          317.1917953055614,
-          3405.436085009775,
-          0,
-          0,
-          641.1521010061157,
-          497.47708052021886,
-          1449.2753623188405,
-          2713.577243379807,
-          2493.7655860349128,
-          4417.577307602884,
-          486.1054848902212,
-          387.5468285751195,
-          0,
-          0,
-          1444.5996051427746,
-          3037.884203002144,
-          0,
-          0,
-          904.1591320072333,
-          603.2121044562293,
-          5928.295850192905,
-          3281.5576460293155,
-          338.8681802778719,
-          718.4276697285369,
-          3604.1682989892656,
-          0,
-          825.9457078354716,
-          618.7007284702125,
-          601.7623038899634,
-          3242.0500793267574,
-          1289.3867354339593,
-          664.8936170212767,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          215.2620815843289,
-          543.5274934323761,
-          102.10332856851133,
-          0,
-          0,
-          2523.659305993691,
-          5553.2417048452035,
-          2212.231499322058,
-          0,
-          869.376222560313,
-          46.74644727000748,
-          66.73785371062466,
-          0,
-          0,
-          0,
-          1846.0940536338903,
-          716.8116219057631,
-          1997.4432726110579,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          1885.6065367693272,
-          574.4296733957,
-          0,
-          2077.951252386836,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          396.4657906660625,
-          334.4854498829301,
-          3628.064837029668,
-          0,
-          425.0386398763524,
-          151.56873642196734,
-          0,
-          7294.429708222812,
-          3511.3976513930465,
-          4962.779156327543,
-          0,
-          686.639442015106,
-          4131.093362709998,
-          0,
-          0,
-          0,
-          0,
-          0,
-          285.66531451751126,
-          1566.8250900924427,
-          0,
-          0,
-          3018.446059250978,
-          5281.090289608177,
-          409.3327875562832,
-          468.11000585137504,
-          988.888021443256,
-          3195.110092380357,
-          0,
-          0,
-          3206.337231233497,
-          3571.241006249672,
-          3326.7130089374377,
-          0,
-          0,
-          0,
-          5264.591086502677,
-          4085.3381752156147,
-          3115.0538362565176,
-          0,
-          0,
-          0,
-          912.4642618164122,
-          0,
-          1630.672552996858,
-          1144.2417715554957,
-          0,
-          947.5251545368408,
-          265.26958021088933,
-          0,
-          0,
-          4495.99856128046,
-          0,
-          0,
-          500.12503125781444,
-          456.04434154213146,
-          6297.831632653061,
-          0,
-          0,
-          0,
-          0,
-          3172.153635116598,
-          0,
-          0,
-          2859.3346816374924,
-          0,
-          0,
-          1212.690216328287,
-          0,
-          0,
-          0,
-          3780.5141499243896,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          1403.5744362309347,
-          1281.69406519922,
-          10904.134484325306,
-          0,
-          0,
-          2409.9703917923293,
-          1063.9078435688605,
-          53.888020692999945,
-          38.96660561898453,
-          999.3337774816789,
-          134.86176668914362,
-          386.99690402476784,
-          0,
-          845.0853007975493,
-          8059.100067159166,
-          7178.106774338268,
-          0,
-          163.79122079056563,
-          376.87089479918166,
-          9867.09625453081,
-          0,
-          0,
-          1948.5264268896647,
-          699.471898716469,
-          1340.3192396734494,
-          0,
-          0,
-          0,
-          6658.676255160474,
-          0,
-          0,
-          0,
-          1448.1560146746476,
-          716.4790174002047,
-          3290.179529361276,
-          0,
-          0,
-          0,
-          0,
-          0,
-          446.09665427509293,
-          1096.3819395993223,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          428.2043962318013,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          1142.5462459194778,
-          0,
-          1374.098248024734,
-          1061.8529333687284,
-          0,
-          0,
-          0,
-          87.30574471800244,
-          1766.6358206444015,
-          584.6671051669955,
-          1911.360649862621,
-          0,
-          2234.409912654885
-         ]
-        }
-       ],
-       "layout": {
-        "bargap": 0.2,
-        "bargroupgap": 0.1,
-        "template": {
-         "data": {
-          "bar": [
-           {
-            "error_x": {
-             "color": "#2a3f5f"
-            },
-            "error_y": {
-             "color": "#2a3f5f"
-            },
-            "marker": {
-             "line": {
-              "color": "#E5ECF6",
-              "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "bar"
-           }
-          ],
-          "barpolar": [
-           {
-            "marker": {
-             "line": {
-              "color": "#E5ECF6",
-              "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "barpolar"
-           }
-          ],
-          "carpet": [
-           {
-            "aaxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "baxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "type": "carpet"
-           }
-          ],
-          "choropleth": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "choropleth"
-           }
-          ],
-          "contour": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "contour"
-           }
-          ],
-          "contourcarpet": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "contourcarpet"
-           }
-          ],
-          "heatmap": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "heatmap"
-           }
-          ],
-          "heatmapgl": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "heatmapgl"
-           }
-          ],
-          "histogram": [
-           {
-            "marker": {
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "histogram"
-           }
-          ],
-          "histogram2d": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "histogram2d"
-           }
-          ],
-          "histogram2dcontour": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "histogram2dcontour"
-           }
-          ],
-          "mesh3d": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "mesh3d"
-           }
-          ],
-          "parcoords": [
-           {
-            "line": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "parcoords"
-           }
-          ],
-          "pie": [
-           {
-            "automargin": true,
-            "type": "pie"
-           }
-          ],
-          "scatter": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatter"
-           }
-          ],
-          "scatter3d": [
-           {
-            "line": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatter3d"
-           }
-          ],
-          "scattercarpet": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattercarpet"
-           }
-          ],
-          "scattergeo": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattergeo"
-           }
-          ],
-          "scattergl": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattergl"
-           }
-          ],
-          "scattermapbox": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattermapbox"
-           }
-          ],
-          "scatterpolar": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterpolar"
-           }
-          ],
-          "scatterpolargl": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterpolargl"
-           }
-          ],
-          "scatterternary": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterternary"
-           }
-          ],
-          "surface": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "surface"
-           }
-          ],
-          "table": [
-           {
-            "cells": {
-             "fill": {
-              "color": "#EBF0F8"
-             },
-             "line": {
-              "color": "white"
-             }
-            },
-            "header": {
-             "fill": {
-              "color": "#C8D4E3"
-             },
-             "line": {
-              "color": "white"
-             }
-            },
-            "type": "table"
-           }
-          ]
-         },
-         "layout": {
-          "annotationdefaults": {
-           "arrowcolor": "#2a3f5f",
-           "arrowhead": 0,
-           "arrowwidth": 1
-          },
-          "autotypenumbers": "strict",
-          "coloraxis": {
-           "colorbar": {
-            "outlinewidth": 0,
-            "ticks": ""
-           }
-          },
-          "colorscale": {
-           "diverging": [
-            [
-             0,
-             "#8e0152"
-            ],
-            [
-             0.1,
-             "#c51b7d"
-            ],
-            [
-             0.2,
-             "#de77ae"
-            ],
-            [
-             0.3,
-             "#f1b6da"
-            ],
-            [
-             0.4,
-             "#fde0ef"
-            ],
-            [
-             0.5,
-             "#f7f7f7"
-            ],
-            [
-             0.6,
-             "#e6f5d0"
-            ],
-            [
-             0.7,
-             "#b8e186"
-            ],
-            [
-             0.8,
-             "#7fbc41"
-            ],
-            [
-             0.9,
-             "#4d9221"
-            ],
-            [
-             1,
-             "#276419"
-            ]
-           ],
-           "sequential": [
-            [
-             0,
-             "#0d0887"
-            ],
-            [
-             0.1111111111111111,
-             "#46039f"
-            ],
-            [
-             0.2222222222222222,
-             "#7201a8"
-            ],
-            [
-             0.3333333333333333,
-             "#9c179e"
-            ],
-            [
-             0.4444444444444444,
-             "#bd3786"
-            ],
-            [
-             0.5555555555555556,
-             "#d8576b"
-            ],
-            [
-             0.6666666666666666,
-             "#ed7953"
-            ],
-            [
-             0.7777777777777778,
-             "#fb9f3a"
-            ],
-            [
-             0.8888888888888888,
-             "#fdca26"
-            ],
-            [
-             1,
-             "#f0f921"
-            ]
-           ],
-           "sequentialminus": [
-            [
-             0,
-             "#0d0887"
-            ],
-            [
-             0.1111111111111111,
-             "#46039f"
-            ],
-            [
-             0.2222222222222222,
-             "#7201a8"
-            ],
-            [
-             0.3333333333333333,
-             "#9c179e"
-            ],
-            [
-             0.4444444444444444,
-             "#bd3786"
-            ],
-            [
-             0.5555555555555556,
-             "#d8576b"
-            ],
-            [
-             0.6666666666666666,
-             "#ed7953"
-            ],
-            [
-             0.7777777777777778,
-             "#fb9f3a"
-            ],
-            [
-             0.8888888888888888,
-             "#fdca26"
-            ],
-            [
-             1,
-             "#f0f921"
-            ]
-           ]
-          },
-          "colorway": [
-           "#636efa",
-           "#EF553B",
-           "#00cc96",
-           "#ab63fa",
-           "#FFA15A",
-           "#19d3f3",
-           "#FF6692",
-           "#B6E880",
-           "#FF97FF",
-           "#FECB52"
-          ],
-          "font": {
-           "color": "#2a3f5f"
-          },
-          "geo": {
-           "bgcolor": "white",
-           "lakecolor": "white",
-           "landcolor": "#E5ECF6",
-           "showlakes": true,
-           "showland": true,
-           "subunitcolor": "white"
-          },
-          "hoverlabel": {
-           "align": "left"
-          },
-          "hovermode": "closest",
-          "mapbox": {
-           "style": "light"
-          },
-          "paper_bgcolor": "white",
-          "plot_bgcolor": "#E5ECF6",
-          "polar": {
-           "angularaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "bgcolor": "#E5ECF6",
-           "radialaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           }
-          },
-          "scene": {
-           "xaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           },
-           "yaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           },
-           "zaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           }
-          },
-          "shapedefaults": {
-           "line": {
-            "color": "#2a3f5f"
-           }
-          },
-          "ternary": {
-           "aaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "baxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "bgcolor": "#E5ECF6",
-           "caxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           }
-          },
-          "title": {
-           "x": 0.05
-          },
-          "xaxis": {
-           "automargin": true,
-           "gridcolor": "white",
-           "linecolor": "white",
-           "ticks": "",
-           "title": {
-            "standoff": 15
-           },
-           "zerolinecolor": "white",
-           "zerolinewidth": 2
-          },
-          "yaxis": {
-           "automargin": true,
-           "gridcolor": "white",
-           "linecolor": "white",
-           "ticks": "",
-           "title": {
-            "standoff": 15
-           },
-           "zerolinecolor": "white",
-           "zerolinewidth": 2
-          }
-         }
-        },
-        "xaxis": {
-         "title": {
-          "text": "Value"
-         }
-        },
-        "yaxis": {
-         "title": {
-          "text": "Count"
-         }
-        }
-       }
-      },
-      "text/html": [
-       "
                                
                        
    "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
+   "source": [
+    "check_accuracy(results)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "check_accuracy(results, deterministic=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "analyze_data(results=results, t_ndx=200)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "        \n",
-       "        "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "linkText": "Export to plot.ly",
-        "plotlyServerURL": "https://plot.ly",
-        "showLink": false
-       },
-       "data": [
-        {
-         "marker": {
-          "color": [
-           0,
-           0,
-           0,
-           0,
-           23,
-           10,
-           23,
-           24,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           29,
-           49,
-           27,
-           36,
-           0,
-           0,
-           0,
-           0,
-           0,
-           1,
-           0,
-           0,
-           63,
-           46,
-           53,
-           63,
-           30,
-           33,
-           44,
-           46,
-           47,
-           44,
-           46,
-           44,
-           0,
-           0,
-           0,
-           0,
-           20,
-           21,
-           20,
-           16,
-           0,
-           0,
-           0,
-           0,
-           51,
-           38,
-           36,
-           51,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           33,
-           40,
-           45,
-           0,
-           0,
-           0,
-           0,
-           45,
-           33,
-           39,
-           38,
-           0,
-           0,
-           0,
-           0,
-           51,
-           58,
-           54,
-           63,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           50,
-           69,
-           46,
-           52,
-           28,
-           19,
-           24,
-           23,
-           26,
-           27,
-           17,
-           35,
-           43,
-           26,
-           37,
-           25,
-           29,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           20,
-           13,
-           20,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           28,
-           30,
-           29,
-           21,
-           38,
-           52,
-           51,
-           40,
-           46,
-           44,
-           53,
-           0,
-           0,
-           0,
-           2,
-           4,
-           1,
-           4,
-           0,
-           0,
-           0,
-           0,
-           44,
-           38,
-           61,
-           46,
-           25,
-           26,
-           29,
-           10,
-           9,
-           10,
-           18,
-           80,
-           19,
-           11,
-           9,
-           10,
-           4,
-           7,
-           15,
-           8,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           18,
-           24,
-           24,
-           82,
-           62,
-           65,
-           66,
-           0,
-           0,
-           0,
-           26,
-           17,
-           33,
-           18,
-           28,
-           2,
-           8,
-           1,
-           8,
-           16,
-           31,
-           24,
-           20,
-           24,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           49,
-           32,
-           40,
-           0,
-           0,
-           26,
-           53,
-           59,
-           55,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           21,
-           37,
-           26,
-           27,
-           0,
-           16,
-           13,
-           1,
-           0,
-           2,
-           0,
-           0,
-           0,
-           15,
-           16,
-           24,
-           19,
-           4,
-           6,
-           7,
-           13,
-           0,
-           0,
-           0,
-           16,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           1,
-           2,
-           0,
-           1,
-           32,
-           26,
-           44,
-           43,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           11,
-           11,
-           16,
-           12,
-           0,
-           0,
-           0,
-           5,
-           3,
-           2,
-           51,
-           47,
-           43,
-           45,
-           10,
-           7,
-           6,
-           5,
-           19,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           33,
-           15,
-           50,
-           0,
-           0,
-           0,
-           0,
-           40,
-           42,
-           50,
-           0,
-           5,
-           2,
-           58,
-           56,
-           63,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           33,
-           51,
-           45,
-           52,
-           12,
-           20,
-           15,
-           18,
-           17,
-           12,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           69,
-           59,
-           57,
-           19,
-           21,
-           23,
-           18,
-           19,
-           0,
-           0,
-           0,
-           0,
-           10,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           16,
-           32,
-           63,
-           68,
-           59,
-           51,
-           0,
-           0,
-           0,
-           0,
-           0,
-           1,
-           37,
-           69,
-           21,
-           22,
-           12,
-           8,
-           12,
-           16,
-           17,
-           15,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           16,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           6,
-           4,
-           0,
-           25,
-           19,
-           27,
-           23,
-           33,
-           27,
-           22,
-           25,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           36,
-           48,
-           54,
-           23,
-           32,
-           28,
-           25,
-           34,
-           0,
-           0,
-           0,
-           0,
-           34,
-           31,
-           31,
-           31,
-           60,
-           45,
-           43,
-           42,
-           33,
-           32,
-           24,
-           40,
-           8,
-           9,
-           6,
-           0,
-           0,
-           0,
-           0,
-           0,
-           49,
-           40,
-           9,
-           6,
-           8,
-           0,
-           51,
-           51,
-           18,
-           15,
-           13,
-           10,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           54,
-           57,
-           21,
-           23,
-           25,
-           24,
-           36,
-           44,
-           0,
-           0,
-           5,
-           0,
-           1,
-           3,
-           0,
-           0,
-           0,
-           0,
-           1,
-           1,
-           0,
-           0,
-           0,
-           0,
-           0,
-           15,
-           0,
-           0,
-           0,
-           0,
-           26,
-           31,
-           22,
-           36,
-           36,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           15,
-           55,
-           73,
-           0,
-           3,
-           0,
-           0,
-           0,
-           0,
-           0,
-           16,
-           13,
-           14,
-           0,
-           0,
-           10,
-           16,
-           13,
-           18,
-           6,
-           18,
-           26,
-           0,
-           0,
-           0,
-           0,
-           0,
-           8,
-           10,
-           10,
-           8,
-           1,
-           0,
-           0,
-           0,
-           0,
-           17,
-           16,
-           13,
-           58,
-           0,
-           3,
-           0,
-           23,
-           13,
-           12,
-           9,
-           9,
-           7,
-           0,
-           0,
-           0,
-           0,
-           30,
-           0,
-           0,
-           61,
-           44,
-           69,
-           0,
-           0,
-           0,
-           0,
-           51,
-           61,
-           78,
-           0,
-           18,
-           47,
-           56,
-           49,
-           70,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           5,
-           5,
-           7,
-           11,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           19,
-           54,
-           72,
-           0,
-           0,
-           0,
-           0,
-           0,
-           2,
-           1,
-           4,
-           3,
-           6,
-           0,
-           0,
-           50,
-           0,
-           0,
-           0,
-           41,
-           54,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           61,
-           51,
-           45,
-           39,
-           2,
-           35,
-           0,
-           0,
-           56,
-           54,
-           0,
-           7,
-           6,
-           0,
-           0,
-           16,
-           0,
-           0,
-           0,
-           0,
-           0,
-           9,
-           9,
-           0,
-           0,
-           0,
-           41,
-           38,
-           26,
-           35,
-           17,
-           9,
-           17,
-           10,
-           21,
-           0,
-           0,
-           0,
-           0,
-           0,
-           28,
-           12,
-           62,
-           0,
-           30,
-           26,
-           37,
-           0,
-           13,
-           0,
-           25,
-           27,
-           23,
-           25,
-           7,
-           0,
-           65,
-           51,
-           61,
-           0,
-           0,
-           0,
-           0,
-           0,
-           21,
-           0,
-           0,
-           29,
-           0,
-           0,
-           0,
-           0,
-           0,
-           6,
-           2,
-           12,
-           44,
-           84,
-           57,
-           0,
-           2,
-           4,
-           4,
-           0,
-           1,
-           0,
-           0,
-           45,
-           0,
-           6,
-           12,
-           0,
-           0,
-           33,
-           14,
-           36,
-           47,
-           0,
-           0,
-           0,
-           0,
-           21,
-           21,
-           0,
-           37,
-           39,
-           10,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           47,
-           50,
-           60,
-           0,
-           0,
-           0,
-           33,
-           0,
-           0,
-           0,
-           0,
-           59,
-           0,
-           0,
-           0,
-           0,
-           26,
-           30,
-           14,
-           19,
-           0,
-           0,
-           21,
-           49,
-           0,
-           0,
-           6,
-           0,
-           39,
-           56,
-           0,
-           0,
-           0,
-           0,
-           43,
-           52,
-           52,
-           0,
-           23,
-           0,
-           0,
-           0,
-           0,
-           25,
-           58,
-           46,
-           47,
-           45,
-           0,
-           0,
-           26,
-           35,
-           9,
-           54,
-           0,
-           0,
-           13,
-           14,
-           11,
-           58,
-           33,
-           57,
-           6,
-           6,
-           0,
-           0,
-           30,
-           34,
-           0,
-           0,
-           34,
-           24,
-           63,
-           45,
-           8,
-           14,
-           46,
-           0,
-           15,
-           31,
-           14,
-           47,
-           16,
-           23,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           4,
-           36,
-           2,
-           0,
-           0,
-           32,
-           40,
-           31,
-           0,
-           36,
-           1,
-           1,
-           0,
-           0,
-           0,
-           19,
-           15,
-           25,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           36,
-           35,
-           0,
-           37,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           7,
-           6,
-           62,
-           0,
-           22,
-           3,
-           0,
-           55,
-           61,
-           66,
-           0,
-           19,
-           45,
-           0,
-           0,
-           0,
-           0,
-           0,
-           5,
-           30,
-           0,
-           0,
-           54,
-           62,
-           7,
-           8,
-           38,
-           46,
-           0,
-           0,
-           51,
-           68,
-           67,
-           0,
-           0,
-           0,
-           58,
-           45,
-           46,
-           0,
-           0,
-           0,
-           15,
-           0,
-           41,
-           17,
-           0,
-           21,
-           4,
-           0,
-           0,
-           50,
-           0,
-           0,
-           12,
-           13,
-           79,
-           0,
-           0,
-           0,
-           0,
-           37,
-           0,
-           0,
-           41,
-           0,
-           0,
-           31,
-           0,
-           0,
-           0,
-           35,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           30,
-           23,
-           72,
-           0,
-           0,
-           35,
-           29,
-           1,
-           2,
-           18,
-           2,
-           5,
-           0,
-           16,
-           48,
-           64,
-           0,
-           3,
-           7,
-           49,
-           0,
-           0,
-           24,
-           20,
-           11,
-           0,
-           0,
-           0,
-           50,
-           0,
-           0,
-           0,
-           15,
-           7,
-           46,
-           0,
-           0,
-           0,
-           0,
-           0,
-           6,
-           11,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           6,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           21,
-           0,
-           12,
-           20,
-           0,
-           0,
-           0,
-           1,
-           21,
-           8,
-           32,
-           0,
-           44
-          ],
-          "colorbar": {
-           "thickness": 20,
-           "title": {
-            "text": "A"
-           }
-          },
-          "colorscale": [
-           [
-            0,
-            "#0508b8"
-           ],
-           [
-            0.08333333333333333,
-            "#1910d8"
-           ],
-           [
-            0.16666666666666666,
-            "#3c19f0"
-           ],
-           [
-            0.25,
-            "#6b1cfb"
-           ],
-           [
-            0.3333333333333333,
-            "#981cfd"
-           ],
-           [
-            0.4166666666666667,
-            "#bf1cfd"
-           ],
-           [
-            0.5,
-            "#dd2bfd"
-           ],
-           [
-            0.5833333333333334,
-            "#f246fe"
-           ],
-           [
-            0.6666666666666666,
-            "#fc67fd"
-           ],
-           [
-            0.75,
-            "#fe88fc"
-           ],
-           [
-            0.8333333333333334,
-            "#fea5fd"
-           ],
-           [
-            0.9166666666666666,
-            "#febefe"
-           ],
-           [
-            1,
-            "#fec3fe"
-           ]
-          ],
-          "size": 5
-         },
-         "mode": "markers",
-         "name": "A",
-         "type": "scatter3d",
-         "x": [
-          -2.101682662963867,
-          -1.887513518333435,
-          -1.7570427656173706,
-          -1.8541388511657715,
-          1.8749754428863525,
-          1.80832040309906,
-          2.1825294494628906,
-          2.062222480773926,
-          -2.38004469871521,
-          -2.3056769371032715,
-          -2.2629430294036865,
-          -2.0936312675476074,
-          -1.9997928142547607,
-          -1.7547287940979004,
-          -1.6898266077041626,
-          -1.6704288721084595,
-          3.5905017852783203,
-          3.2578799724578857,
-          3.160881519317627,
-          3.4964303970336914,
-          -0.6913178563117981,
-          -1.0443613529205322,
-          -0.8108569979667664,
-          -0.5850074887275696,
-          -0.293684720993042,
-          0.0675533190369606,
-          -0.271133154630661,
-          0.018742907792329788,
-          4.4305853843688965,
-          4.508673667907715,
-          4.325611114501953,
-          4.611989498138428,
-          3.4338648319244385,
-          3.488844871520996,
-          3.289395570755005,
-          3.6204428672790527,
-          3.71138858795166,
-          3.857684850692749,
-          3.974630117416382,
-          4.003854274749756,
-          -3.9132473468780518,
-          -4.0064496994018555,
-          -3.8273096084594727,
-          -3.709832191467285,
-          2.3001842498779297,
-          2.2914557456970215,
-          2.0052285194396973,
-          2.2628118991851807,
-          -1.980513334274292,
-          -2.0251479148864746,
-          -1.7515032291412354,
-          -2.1317431926727295,
-          3.794757843017578,
-          3.3874454498291016,
-          3.7147281169891357,
-          3.586693048477173,
-          -2.8868887424468994,
-          -3.001088857650757,
-          -2.9482247829437256,
-          -2.6325371265411377,
-          -4.134808540344238,
-          -3.772261619567871,
-          -4.165527820587158,
-          -3.994203805923462,
-          -4.163450241088867,
-          3.875136137008667,
-          3.7112133502960205,
-          3.765407085418701,
-          -2.4520857334136963,
-          -2.657001495361328,
-          -2.6662352085113525,
-          -2.8774945735931396,
-          3.942436933517456,
-          3.8352348804473877,
-          3.6082088947296143,
-          4.133811950683594,
-          -3.171978712081909,
-          -3.221795082092285,
-          -3.0311388969421387,
-          -2.9480156898498535,
-          4.4702277183532715,
-          4.6418352127075195,
-          4.766424655914307,
-          4.669127941131592,
-          -3.4734950065612793,
-          -3.1584713459014893,
-          -3.2440361976623535,
-          -3.3585245609283447,
-          -2.429314613342285,
-          -2.2996301651000977,
-          -2.1834332942962646,
-          -1.2482850551605225,
-          -0.8828672766685486,
-          -0.8636268973350525,
-          4.625131607055664,
-          5,
-          4.731442928314209,
-          4.639413356781006,
-          2.726271152496338,
-          2.482100486755371,
-          2.630417823791504,
-          2.613208293914795,
-          2.359410285949707,
-          2.4850215911865234,
-          2.0713677406311035,
-          2.9034955501556396,
-          3.2096197605133057,
-          3.0044784545898438,
-          3.031195640563965,
-          2.8652327060699463,
-          3.303494453430176,
-          -0.9179192781448364,
-          -1.1669803857803345,
-          -1.2644528150558472,
-          -1.0285327434539795,
-          -0.8682996034622192,
-          -1.0111645460128784,
-          -1.1425732374191284,
-          -0.9068978428840637,
-          1.6444306373596191,
-          1.5535091161727905,
-          1.877994418144226,
-          -4.233823299407959,
-          -4.286869049072266,
-          -4.4695281982421875,
-          -4.121842384338379,
-          -1.4972978830337524,
-          -0.9989351034164429,
-          -1.422027349472046,
-          -1.2346546649932861,
-          -2.2228097915649414,
-          -2.000976085662842,
-          -2.127882480621338,
-          -4.581174373626709,
-          -4.083948135375977,
-          2.5844061374664307,
-          2.6696746349334717,
-          2.439190149307251,
-          2.836972236633301,
-          3.768427848815918,
-          3.901214361190796,
-          4.03761625289917,
-          3.712953805923462,
-          3.7559714317321777,
-          3.856983184814453,
-          4.166917324066162,
-          -2.2912299633026123,
-          -2.089019775390625,
-          -1.982771635055542,
-          0.2804890275001526,
-          0.14649292826652527,
-          -0.02719704993069172,
-          0.35809698700904846,
-          -0.09706947952508926,
-          -0.06142881140112877,
-          -0.6113005876541138,
-          -0.263994425535202,
-          4.316342830657959,
-          4.358631610870361,
-          4.577394962310791,
-          4.1251115798950195,
-          2.637986421585083,
-          2.9547457695007324,
-          2.78865909576416,
-          1.622883915901184,
-          1.6951839923858643,
-          1.6690202951431274,
-          1.4459738731384277,
-          5,
-          1.4305493831634521,
-          1.2514207363128662,
-          1.230926275253296,
-          1.0252352952957153,
-          1.0430431365966797,
-          1.0417221784591675,
-          1.277311086654663,
-          0.8228275179862976,
-          -2.6111531257629395,
-          -0.8876737952232361,
-          -0.6530675888061523,
-          -0.8721553087234497,
-          -1.1404987573623657,
-          -3.7799670696258545,
-          -3.7419769763946533,
-          -3.7747626304626465,
-          -3.765298843383789,
-          -1.3552204370498657,
-          -1.448533058166504,
-          1.976080060005188,
-          2.3143045902252197,
-          2.006865978240967,
-          4.718459129333496,
-          5,
-          5,
-          5,
-          -0.21346406638622284,
-          -0.3900603652000427,
-          -0.7078602910041809,
-          2.546725273132324,
-          2.2419445514678955,
-          2.62286114692688,
-          2.31475830078125,
-          2.815099000930786,
-          0.17036111652851105,
-          0.35399267077445984,
-          0.22068481147289276,
-          0.5616357326507568,
-          2.168175220489502,
-          2.396758794784546,
-          2.032904624938965,
-          1.9458956718444824,
-          1.672920823097229,
-          -1.9237370491027832,
-          -1.7913600206375122,
-          -2.1189286708831787,
-          -4.244471549987793,
-          -4.725438117980957,
-          -4.62848424911499,
-          -4.6635870933532715,
-          -4.4014410972595215,
-          -0.39015352725982666,
-          -3.62326979637146,
-          -3.6562275886535645,
-          -3.3212900161743164,
-          -2.650617837905884,
-          -2.9336674213409424,
-          -2.5238282680511475,
-          -2.854623556137085,
-          3.359579563140869,
-          3.281346321105957,
-          3.4625306129455566,
-          -1.6233601570129395,
-          -1.4790972471237183,
-          3.500380516052246,
-          4.63165283203125,
-          4.554935932159424,
-          4.720632076263428,
-          -0.6211792826652527,
-          -0.9868704080581665,
-          -0.2744942903518677,
-          -0.23266896605491638,
-          -0.4965898394584656,
-          -0.32649561762809753,
-          -1.423138976097107,
-          -1.7905021905899048,
-          -1.4218405485153198,
-          -3.732257604598999,
-          -3.5719547271728516,
-          -3.941251754760742,
-          -3.9911673069000244,
-          2.76228666305542,
-          3.034092664718628,
-          2.5956602096557617,
-          3.0007383823394775,
-          -2.4493157863616943,
-          1.5511066913604736,
-          1.313583254814148,
-          0.09208802133798599,
-          0.2716134786605835,
-          0.33897581696510315,
-          -2.9448187351226807,
-          -3.1763267517089844,
-          -2.965965747833252,
-          2.055418014526367,
-          1.7646766901016235,
-          2.0915160179138184,
-          1.9841140508651733,
-          0.7309734225273132,
-          0.8535610437393188,
-          1.1015901565551758,
-          1.1043431758880615,
-          -3.231236696243286,
-          -3.466428518295288,
-          -3.2163987159729004,
-          1.5548237562179565,
-          -2.620222806930542,
-          -2.8454513549804688,
-          -2.381518602371216,
-          -1.7730915546417236,
-          -2.034778118133545,
-          -1.792545199394226,
-          0.23506808280944824,
-          0.15298357605934143,
-          -0.12086783349514008,
-          -0.0009967255173251033,
-          3.0469939708709717,
-          3.3803346157073975,
-          3.5396389961242676,
-          3.4276304244995117,
-          -3.4141626358032227,
-          -3.28906512260437,
-          -3.1413207054138184,
-          -2.9626805782318115,
-          -3.5331058502197266,
-          -2.7990610599517822,
-          -2.5825302600860596,
-          1.0379852056503296,
-          1.3705062866210938,
-          1.090142846107483,
-          1.1630381345748901,
-          -0.7285075783729553,
-          -0.5913762450218201,
-          -0.41392114758491516,
-          0.37851566076278687,
-          0.2083987444639206,
-          0.536102294921875,
-          4.585145950317383,
-          4.314233303070068,
-          4.690446853637695,
-          4.508464336395264,
-          0.5570757389068604,
-          0.7471429109573364,
-          0.8703640103340149,
-          0.735404372215271,
-          1.950286626815796,
-          -2.459625482559204,
-          -2.3318281173706055,
-          -4.318643569946289,
-          -2.7759718894958496,
-          -2.491568088531494,
-          -2.487426280975342,
-          3.034865140914917,
-          1.392642855644226,
-          3.841580390930176,
-          -1.7278932332992554,
-          -1.9114822149276733,
-          -1.5143166780471802,
-          -1.7121433019638062,
-          4.3564581871032715,
-          4.085196018218994,
-          4.489546298980713,
-          0.03738686069846153,
-          0.4072064459323883,
-          0.3515777885913849,
-          4.740171909332275,
-          5,
-          5,
-          -3.7102108001708984,
-          -3.5805227756500244,
-          -3.250467300415039,
-          -3.6381490230560303,
-          -5,
-          -4.672852039337158,
-          -5,
-          -5,
-          3.9007976055145264,
-          4.133395671844482,
-          4.175212860107422,
-          4.236222267150879,
-          1.3414992094039917,
-          1.545016884803772,
-          1.7293202877044678,
-          1.7089415788650513,
-          1.5792618989944458,
-          1.938088297843933,
-          -4.447057247161865,
-          -4.589023590087891,
-          -4.721797943115234,
-          -5,
-          -4.662319183349609,
-          -4.697544574737549,
-          -4.536230564117432,
-          5,
-          5,
-          5,
-          2.2066378593444824,
-          1.9319493770599365,
-          2.258507013320923,
-          2.2539353370666504,
-          2.732060194015503,
-          -2.9786436557769775,
-          -2.8140065670013428,
-          -2.7915046215057373,
-          -2.627666711807251,
-          0.9115676283836365,
-          -0.532065212726593,
-          -0.5675407648086548,
-          -0.5571060180664062,
-          -2.564318895339966,
-          -4.4288010597229,
-          -4.226881980895996,
-          -4.208695411682129,
-          -4.0041913986206055,
-          -4.3078436851501465,
-          -4.320655345916748,
-          2.809098720550537,
-          2.785369634628296,
-          5,
-          4.710524559020996,
-          5,
-          5,
-          -4.560494422912598,
-          -4.414031982421875,
-          -4.710155963897705,
-          0.027450760826468468,
-          -0.09511373937129974,
-          0.3111163377761841,
-          4.47791862487793,
-          4.311753749847412,
-          2.278442859649658,
-          2.3220880031585693,
-          1.0773473978042603,
-          0.6730288863182068,
-          1.7689932584762573,
-          1.6555397510528564,
-          1.9800528287887573,
-          2.0714244842529297,
-          -0.6446894407272339,
-          -0.43192827701568604,
-          -3.7548670768737793,
-          -3.300417423248291,
-          -1.1125221252441406,
-          -0.6115882396697998,
-          -2.978154420852661,
-          -3.3732173442840576,
-          -3.242103338241577,
-          1.2596628665924072,
-          -3.6130688190460205,
-          -3.133923292160034,
-          -3.3986732959747314,
-          -3.5859854221343994,
-          -3.520331621170044,
-          -3.851719617843628,
-          -3.865055561065674,
-          0.5590431690216064,
-          0.6265019774436951,
-          -0.03324676677584648,
-          2.4285573959350586,
-          2.5746889114379883,
-          2.7181601524353027,
-          2.378453016281128,
-          3.447817087173462,
-          2.445730209350586,
-          2.310244083404541,
-          2.6667962074279785,
-          -4.695241928100586,
-          -5,
-          -4.548861980438232,
-          -0.33884161710739136,
-          -0.5452479720115662,
-          -0.44265344738960266,
-          -1.2199991941452026,
-          -1.154729962348938,
-          -0.9447287917137146,
-          -0.8053910136222839,
-          3.9948537349700928,
-          3.997985601425171,
-          4.207438945770264,
-          2.2636070251464844,
-          2.816199541091919,
-          3.2298614978790283,
-          3.0754427909851074,
-          3.1898257732391357,
-          -2.0362820625305176,
-          -1.695935845375061,
-          -2.8119935989379883,
-          -2.5727436542510986,
-          3.0221409797668457,
-          3.255614995956421,
-          3.368884563446045,
-          3.2635715007781982,
-          4.541206359863281,
-          3.801682472229004,
-          4.062766075134277,
-          3.6565608978271484,
-          2.893397092819214,
-          3.020784378051758,
-          2.637270450592041,
-          2.978060007095337,
-          0.706810474395752,
-          0.7772684097290039,
-          0.8003952503204346,
-          -0.22241777181625366,
-          -0.1280590295791626,
-          -2.9058010578155518,
-          -0.3929927349090576,
-          -1.6517680883407593,
-          4.374144554138184,
-          4.208742141723633,
-          1.0169200897216797,
-          0.6947392225265503,
-          0.6771532297134399,
-          -4.339812278747559,
-          3.8944802284240723,
-          3.9562127590179443,
-          2.033257246017456,
-          1.9155778884887695,
-          1.3438067436218262,
-          1.0825568437576294,
-          -1.7339566946029663,
-          -1.3611284494400024,
-          -1.3337901830673218,
-          -1.2508692741394043,
-          -2.2653911113739014,
-          -2.2419567108154297,
-          -3.1367833614349365,
-          -1.81843900680542,
-          -2.1527793407440186,
-          -1.6042685508728027,
-          -1.647326946258545,
-          4.628890037536621,
-          4.72548246383667,
-          2.286425828933716,
-          1.9910200834274292,
-          2.3555381298065186,
-          2.0931544303894043,
-          3.7614736557006836,
-          3.912747859954834,
-          -4.636204242706299,
-          -4.488008499145508,
-          0.4070380926132202,
-          -0.13350971043109894,
-          0.19662299752235413,
-          0.13111887872219086,
-          -0.7308740019798279,
-          -0.5450983643531799,
-          -0.6622709035873413,
-          0.003929497674107552,
-          0.24031925201416016,
-          -0.22965681552886963,
-          -0.0660269558429718,
-          -0.17119362950325012,
-          -0.18464888632297516,
-          -0.0036181053146719933,
-          -0.7095974087715149,
-          1.9864104986190796,
-          -2.5475826263427734,
-          -2.7074756622314453,
-          -2.891202926635742,
-          -2.509110927581787,
-          2.9578778743743896,
-          3.029849052429199,
-          2.3168818950653076,
-          3.536309242248535,
-          3.2530806064605713,
-          -3.741461992263794,
-          -2.821955680847168,
-          -3.082059383392334,
-          -2.9099485874176025,
-          -2.7286927700042725,
-          -0.6247063279151917,
-          -0.3622240722179413,
-          -0.4216044247150421,
-          1.6000310182571411,
-          5,
-          5,
-          -1.6445059776306152,
-          0.2146318256855011,
-          -4.1633453369140625,
-          -4.1257829666137695,
-          -3.817925214767456,
-          -3.784167766571045,
-          -1.2936067581176758,
-          1.8930131196975708,
-          1.5624295473098755,
-          1.5452696084976196,
-          -1.8079805374145508,
-          -1.6008325815200806,
-          1.2422401905059814,
-          1.4802297353744507,
-          1.4433354139328003,
-          1.5805444717407227,
-          0.7913298010826111,
-          2.578340768814087,
-          2.6075079441070557,
-          -0.813774585723877,
-          -5,
-          -5,
-          -4.7412261962890625,
-          -4.72172212600708,
-          1.3737642765045166,
-          1.2108287811279297,
-          1.3925875425338745,
-          1.4203695058822632,
-          0.5987880825996399,
-          -4.71983003616333,
-          -5,
-          -5,
-          -4.692821025848389,
-          1.909011960029602,
-          1.7303102016448975,
-          1.6846473217010498,
-          5,
-          -3.5527470111846924,
-          0.37845441699028015,
-          -1.9841102361679077,
-          3.145871162414551,
-          1.289706826210022,
-          0.7273845076560974,
-          0.720970630645752,
-          1.0219862461090088,
-          0.8861194849014282,
-          -4.596095085144043,
-          -4.253779888153076,
-          -4.743481159210205,
-          -1.5359901189804077,
-          3.121032953262329,
-          -4.488008499145508,
-          -1.1460216045379639,
-          4.6934332847595215,
-          4.375402450561523,
-          4.680056095123291,
-          -4.230134010314941,
-          -3.7863848209381104,
-          -4.4221673011779785,
-          -4.591073989868164,
-          4.1638264656066895,
-          4.340243339538574,
-          4.488320350646973,
-          -2.5075998306274414,
-          1.917682409286499,
-          4.661116600036621,
-          4.636397361755371,
-          4.488320350646973,
-          5,
-          -3.489121437072754,
-          -1.138638973236084,
-          -0.7274905443191528,
-          -4.574654579162598,
-          -4.382515907287598,
-          -3.1639509201049805,
-          -2.7766637802124023,
-          0.7139411568641663,
-          0.4993683397769928,
-          0.7703021764755249,
-          0.901824951171875,
-          -1.5355284214019775,
-          -2.1874425411224365,
-          -2.3504247665405273,
-          -4.327395915985107,
-          -2.3662376403808594,
-          -3.6765761375427246,
-          1.808962345123291,
-          4.351280689239502,
-          4.706614017486572,
-          -3.448230266571045,
-          -3.3269059658050537,
-          -1.3753197193145752,
-          -1.1046783924102783,
-          -1.4444420337677002,
-          0.29257264733314514,
-          0.009619895368814468,
-          0.32545214891433716,
-          0.23237977921962738,
-          1.4445356130599976,
-          -1.2714718580245972,
-          -1.4109042882919312,
-          4.735227108001709,
-          -3.157381772994995,
-          -5,
-          -4.624974727630615,
-          4.58084774017334,
-          4.646906852722168,
-          -4.253415107727051,
-          -3.6714272499084473,
-          -4.048503875732422,
-          -3.91367769241333,
-          -0.662963330745697,
-          -0.45707225799560547,
-          -0.3023490607738495,
-          -0.10872425138950348,
-          -0.40253975987434387,
-          -0.7720760107040405,
-          -2.228641986846924,
-          -2.0955162048339844,
-          -1.9311330318450928,
-          4.527668476104736,
-          4.4020185470581055,
-          4.253148078918457,
-          4.159819602966309,
-          0.06420236825942993,
-          4.135446548461914,
-          -0.9258043766021729,
-          -0.8058002591133118,
-          4.537054061889648,
-          4.744240760803223,
-          -0.8789688944816589,
-          0.3651331961154938,
-          0.7293714880943298,
-          -0.06956324726343155,
-          -0.08140537887811661,
-          1.721306324005127,
-          -3.6552634239196777,
-          -3.3976213932037354,
-          -3.114668607711792,
-          -2.9648706912994385,
-          -2.7460291385650635,
-          0.9609786868095398,
-          1.0764851570129395,
-          -2.625852346420288,
-          -2.673210859298706,
-          -2.3928139209747314,
-          3.227536678314209,
-          3.531540632247925,
-          3.7912299633026123,
-          3.446416139602661,
-          1.760624647140503,
-          1.2702659368515015,
-          1.4204895496368408,
-          1.1356712579727173,
-          1.1212012767791748,
-          -0.7966426014900208,
-          -4.596960067749023,
-          -2.358410358428955,
-          -2.481785297393799,
-          -2.317129611968994,
-          2.1517908573150635,
-          1.9424786567687988,
-          4.65165901184082,
-          -4.577237129211426,
-          3.162456750869751,
-          3.290433168411255,
-          3.418100118637085,
-          -3.9114646911621094,
-          0.9896045327186584,
-          -0.19112993776798248,
-          2.6939661502838135,
-          3.0167806148529053,
-          2.893794298171997,
-          3.0206243991851807,
-          1.2407162189483643,
-          -0.46050986647605896,
-          5,
-          4.663840293884277,
-          5,
-          -3.103480339050293,
-          -2.277939558029175,
-          -2.125932216644287,
-          -1.824216604232788,
-          -2.0925588607788086,
-          2.68068528175354,
-          -4.7859697341918945,
-          -4.575015544891357,
-          2.8520922660827637,
-          -3.2595419883728027,
-          -4.203586101531982,
-          -4.2565202713012695,
-          -3.767660140991211,
-          -3.32572078704834,
-          0.5733931660652161,
-          0.5859797596931458,
-          0.6658535599708557,
-          4.556863307952881,
-          5,
-          5,
-          -2.477255344390869,
-          0.25908347964286804,
-          0.25868678092956543,
-          0.49322885274887085,
-          -5,
-          -0.1877877414226532,
-          -5,
-          -5,
-          3.983049154281616,
-          -2.6407032012939453,
-          0.5915303230285645,
-          1.0867373943328857,
-          -1.214605450630188,
-          -1.4895960092544556,
-          2.3244974613189697,
-          1.0752484798431396,
-          3.5134105682373047,
-          3.492990732192993,
-          -4.003303050994873,
-          -4.055683612823486,
-          -4.244694709777832,
-          -4.091361999511719,
-          2.220043897628784,
-          2.544774293899536,
-          -5,
-          3.5021090507507324,
-          3.226494312286377,
-          1.4538578987121582,
-          0.25620901584625244,
-          -4.075596809387207,
-          -4.281928539276123,
-          -4.1883087158203125,
-          -4.555990695953369,
-          -4.334146976470947,
-          -4.165266990661621,
-          4.628626346588135,
-          4.596282482147217,
-          4.575169086456299,
-          -4.123189449310303,
-          -3.8626294136047363,
-          -3.69762921333313,
-          3.6556200981140137,
-          -4.1212477684021,
-          -3.785296678543091,
-          -1.9285658597946167,
-          -3.4919838905334473,
-          5,
-          -1.8179099559783936,
-          -4.580845355987549,
-          -4.697874546051025,
-          -4.374136447906494,
-          2.7386975288391113,
-          3.034958839416504,
-          2.8929836750030518,
-          2.8669273853302,
-          -5,
-          -1.5589079856872559,
-          1.9696201086044312,
-          3.9466171264648438,
-          -3.894467353820801,
-          -1.4353413581848145,
-          0.6438999772071838,
-          -3.559412717819214,
-          2.898449182510376,
-          4.226627349853516,
-          -5,
-          -5,
-          -4.580845355987549,
-          -2.0328192710876465,
-          4.1754069328308105,
-          4.199225902557373,
-          4.34015417098999,
-          -2.9041290283203125,
-          2.497323513031006,
-          -1.7650561332702637,
-          -0.5644856095314026,
-          -5,
-          -5,
-          3.0372588634490967,
-          3.8829185962677,
-          3.6070923805236816,
-          3.8541207313537598,
-          3.8192059993743896,
-          -2.6382784843444824,
-          -4.700376033782959,
-          2.501884937286377,
-          4.065597057342529,
-          1.0171412229537964,
-          5,
-          -4.651655673980713,
-          -0.8031032681465149,
-          1.2622673511505127,
-          1.2936519384384155,
-          1.369748592376709,
-          4.189074516296387,
-          4.076688766479492,
-          5,
-          0.7270625233650208,
-          0.995764970779419,
-          -0.8975422382354736,
-          -1.5903971195220947,
-          3.329392194747925,
-          3.4523019790649414,
-          -1.0810967683792114,
-          -0.5812257528305054,
-          2.644548177719116,
-          2.6585214138031006,
-          5,
-          3.7732388973236084,
-          0.9950934052467346,
-          0.8841180801391602,
-          3.8183670043945312,
-          -0.6460126042366028,
-          2.1103804111480713,
-          2.3608930110931396,
-          1.3835891485214233,
-          3.4795989990234375,
-          1.769286036491394,
-          1.7716087102890015,
-          -5,
-          -5,
-          -5,
-          -1.426405906677246,
-          -2.7312746047973633,
-          -5,
-          0.47139957547187805,
-          3.8471028804779053,
-          0.7896639108657837,
-          -1.2268297672271729,
-          -4.720064640045166,
-          2.7558088302612305,
-          3.023494243621826,
-          3.7829294204711914,
-          -1.891106128692627,
-          3.048088550567627,
-          0.008336871862411499,
-          0.07599930465221405,
-          -1.3721232414245605,
-          -1.032981276512146,
-          -0.6021665930747986,
-          1.735460877418518,
-          1.5383501052856445,
-          2.478435516357422,
-          -3.304556131362915,
-          -2.378432035446167,
-          -0.4857358932495117,
-          -2.097623586654663,
-          -3.2147445678710938,
-          -1.8128300905227661,
-          3.589271306991577,
-          3.373690366744995,
-          -3.5193681716918945,
-          3.53788161277771,
-          -1.1633410453796387,
-          -3.841488838195801,
-          -3.562544822692871,
-          -5,
-          -4.628747463226318,
-          -0.3776344060897827,
-          -1.9576623439788818,
-          -2.3299407958984375,
-          -2.3134829998016357,
-          0.5879091620445251,
-          0.39716675877571106,
-          5,
-          -4.527527809143066,
-          2.8390586376190186,
-          0.3319953382015228,
-          -0.2031165361404419,
-          5,
-          5,
-          5,
-          -5,
-          2.2759742736816406,
-          4.30157470703125,
-          -0.7995855808258057,
-          -0.05464247241616249,
-          -1.3260889053344727,
-          -1.0919172763824463,
-          -1.5666868686676025,
-          0.6270329356193542,
-          2.468057155609131,
-          -2.5841712951660156,
-          -4.339723110198975,
-          5,
-          5,
-          0.5067524909973145,
-          0.7723978161811829,
-          3.510948657989502,
-          4.363494873046875,
-          -3.0252578258514404,
-          -1.2719022035598755,
-          4.58084774017334,
-          5,
-          4.526966571807861,
-          -5,
-          -5,
-          -5,
-          5,
-          4.227243900299072,
-          4.085610389709473,
-          -4.363025188446045,
-          -1.356877088546753,
-          -1.0370725393295288,
-          1.1098798513412476,
-          -1.7669402360916138,
-          3.0309200286865234,
-          1.8378273248672485,
-          -1.0789508819580078,
-          1.8391550779342651,
-          0.4916764497756958,
-          -3.601686716079712,
-          -0.24966329336166382,
-          4.12544059753418,
-          -5,
-          -5,
-          1.536503791809082,
-          1.7359037399291992,
-          5,
-          -3.840538263320923,
-          -5,
-          -5,
-          -5,
-          4.124938011169434,
-          -4.646697998046875,
-          -5,
-          4.167131423950195,
-          -3.3831329345703125,
-          -3.5020036697387695,
-          3.266669988632202,
-          -0.9436191916465759,
-          -1.5299025774002075,
-          -1.982384204864502,
-          3.6774818897247314,
-          -2.2120511531829834,
-          -0.3448413610458374,
-          -3.386986017227173,
-          -3.1074790954589844,
-          -0.4411892294883728,
-          -0.3736647963523865,
-          -5,
-          -5,
-          -1.2011436223983765,
-          -1.1121392250061035,
-          -2.1613833904266357,
-          -2.2924811840057373,
-          3.104656934738159,
-          2.610442638397217,
-          5,
-          -5,
-          -2.3681676387786865,
-          3.672323226928711,
-          3.7326676845550537,
-          0.1613098382949829,
-          0.2413194328546524,
-          1.3728821277618408,
-          0.4339759051799774,
-          0.35695144534111023,
-          -2.493479013442993,
-          2.1896910667419434,
-          4.700502395629883,
-          5,
-          -1.016597032546997,
-          0.6210448145866394,
-          0.6637445688247681,
-          5,
-          -1.0216628313064575,
-          -0.23358485102653503,
-          3.3018922805786133,
-          1.8105369806289673,
-          0.955568790435791,
-          -3.7231528759002686,
-          -3.9804978370666504,
-          -1.2900493144989014,
-          4.1124267578125,
-          -3.540820360183716,
-          -5,
-          -3.8975656032562256,
-          1.2156816720962524,
-          0.7590240836143494,
-          3.5594608783721924,
-          -3.283069372177124,
-          -5,
-          -3.2769768238067627,
-          0.1670776754617691,
-          -0.7176233530044556,
-          0.9799598455429077,
-          1.3872452974319458,
-          -2.0572428703308105,
-          -3.3091535568237305,
-          -1.3487980365753174,
-          -4.625357627868652,
-          -2.012728691101074,
-          -5,
-          0.8194661736488342,
-          -1.579920768737793,
-          -1.5731505155563354,
-          -4.639402389526367,
-          -1.7494895458221436,
-          -3.0217342376708984,
-          -1.5556175708770752,
-          2.022423028945923,
-          -2.8629543781280518,
-          1.2468470335006714,
-          1.9912384748458862,
-          -1.0789836645126343,
-          -0.08867280930280685,
-          -1.3601857423782349,
-          0.519882321357727,
-          2.222944498062134,
-          0.5680000185966492,
-          2.373995542526245,
-          -2.9980807304382324,
-          3.2855708599090576
-         ],
-         "y": [
-          -0.9644528031349182,
-          -0.5014916062355042,
-          -0.9228641390800476,
-          -0.9955595135688782,
-          0.2492223083972931,
-          0.057115908712148666,
-          -0.16631139814853668,
-          -0.06584170460700989,
-          0.10396039485931396,
-          -0.31133314967155457,
-          -0.041115161031484604,
-          -0.04820563644170761,
-          -0.949433445930481,
-          -0.8801339268684387,
-          -0.5981799364089966,
-          -0.9736314415931702,
-          -0.43101099133491516,
-          -0.4243756830692291,
-          -0.4731490910053253,
-          -0.6577183604240417,
-          0.2146396040916443,
-          0.5974391102790833,
-          0.2125028818845749,
-          0.43337777256965637,
-          0.4884589910507202,
-          0.6967326402664185,
-          0.6029126048088074,
-          0.23680882155895233,
-          0.6917465329170227,
-          0.4850515127182007,
-          0.18376414477825165,
-          0.48162636160850525,
-          -0.6320042610168457,
-          -0.7730603814125061,
-          -0.9154437184333801,
-          -0.9334678649902344,
-          -0.937618613243103,
-          -0.6324880123138428,
-          -0.9645949602127075,
-          -0.8584909439086914,
-          -0.021662965416908264,
-          -0.19917190074920654,
-          -0.40617337822914124,
-          0.01375947892665863,
-          0.6443992257118225,
-          0.2646108865737915,
-          0.3110242187976837,
-          0.4987179636955261,
-          0.2822154462337494,
-          0.22283178567886353,
-          0.3027957081794739,
-          0.48568424582481384,
-          -0.004136862698942423,
-          0.24444110691547394,
-          0.3975219428539276,
-          0.06679671257734299,
-          0.3392251133918762,
-          0.4178438186645508,
-          0.0005444167763926089,
-          0.26371410489082336,
-          0.6860716342926025,
-          0.5389652252197266,
-          0.2810700237751007,
-          0.29595068097114563,
-          -0.0028515858575701714,
-          -0.914943516254425,
-          -0.8317362070083618,
-          -0.5160342454910278,
-          0.1723458170890808,
-          -0.24010129272937775,
-          0.11037452518939972,
-          -0.04924260079860687,
-          0.9950059056282043,
-          0.5880264043807983,
-          0.590488612651825,
-          0.6281570792198181,
-          -0.1020033061504364,
-          0.12514355778694153,
-          0.26880502700805664,
-          -0.06841706484556198,
-          0.07446050643920898,
-          -0.19104579091072083,
-          0.17392556369304657,
-          -0.010952293872833252,
-          0.8551027774810791,
-          0.8424614071846008,
-          0.4966377019882202,
-          0.9818977117538452,
-          -0.7847625613212585,
-          -0.3964613676071167,
-          -0.7274291515350342,
-          0.9931104183197021,
-          0.990178644657135,
-          0.9477092027664185,
-          -0.7309668660163879,
-          -0.8255475759506226,
-          -0.5082603693008423,
-          -0.8930004835128784,
-          0.4194926917552948,
-          0.20234280824661255,
-          0.382354199886322,
-          0.04821555316448212,
-          -0.22185000777244568,
-          -0.2684493958950043,
-          -0.2542339563369751,
-          -0.6113150715827942,
-          -0.749304473400116,
-          0.9967495203018188,
-          0.6226924657821655,
-          0.9509856700897217,
-          0.9614278674125671,
-          -0.5285993218421936,
-          -0.26093634963035583,
-          -0.44633013010025024,
-          -0.7162333726882935,
-          0.37243372201919556,
-          0.7037805914878845,
-          0.5981281399726868,
-          0.8595001101493835,
-          -0.2422453761100769,
-          -0.2717275023460388,
-          -0.342314749956131,
-          -0.36787569522857666,
-          -0.0067490083165466785,
-          -0.12062981724739075,
-          -0.10932574421167374,
-          0.7730425596237183,
-          0.7197641730308533,
-          0.5498804450035095,
-          0.8838788866996765,
-          -0.4682152271270752,
-          -0.8429638743400574,
-          -0.7152993083000183,
-          0.16587448120117188,
-          0.17635276913642883,
-          0.4282841980457306,
-          -0.06333015114068985,
-          0.0034832851961255074,
-          0.09057462960481644,
-          -0.7059872150421143,
-          -0.3774401545524597,
-          -0.6989597082138062,
-          -0.5003755688667297,
-          0.7566817402839661,
-          0.44234010577201843,
-          0.45263102650642395,
-          0.5166338682174683,
-          0.16024252772331238,
-          0.5950716137886047,
-          -0.18073487281799316,
-          0.0018878098344430327,
-          -0.2708609104156494,
-          -0.25196877121925354,
-          -0.11142797023057938,
-          -0.43370550870895386,
-          -0.15656259655952454,
-          -0.039399806410074234,
-          0.46687936782836914,
-          0.32242169976234436,
-          0.6205798983573914,
-          0.6568413972854614,
-          0.2932124137878418,
-          0.286562442779541,
-          0.5216072797775269,
-          -0.9623097777366638,
-          -0.9981469511985779,
-          -0.6364484429359436,
-          -0.9993236660957336,
-          -0.07432012259960175,
-          0.42001017928123474,
-          0.34383609890937805,
-          -0.08206897974014282,
-          0.17495545744895935,
-          -0.6187282204627991,
-          -0.17506438493728638,
-          -0.16744637489318848,
-          -0.3097870349884033,
-          -0.4293544590473175,
-          -0.34442025423049927,
-          -0.08278083801269531,
-          0.040901072323322296,
-          -0.20948979258537292,
-          -0.8171733617782593,
-          -0.6349214315414429,
-          -0.63686603307724,
-          -0.34542766213417053,
-          0.9818851351737976,
-          0.7231388688087463,
-          -0.4980590343475342,
-          -0.5276463031768799,
-          -0.6645891070365906,
-          0.6138550639152527,
-          0.7307949662208557,
-          0.565581202507019,
-          0.8974766731262207,
-          0.2210589051246643,
-          -0.04366305470466614,
-          0.2200208306312561,
-          0.9976720213890076,
-          0.9910743236541748,
-          0.04993176832795143,
-          0.2965986132621765,
-          0.3659362196922302,
-          -0.6525683999061584,
-          -0.4112653136253357,
-          -0.9211462140083313,
-          -0.8424838185310364,
-          -0.9637735486030579,
-          -0.9835269451141357,
-          -0.9970294237136841,
-          -0.9710226655006409,
-          -0.9704429507255554,
-          -0.000344896805472672,
-          0.21921929717063904,
-          -0.13210053741931915,
-          0.1057116687297821,
-          -0.5773980617523193,
-          -0.8491992354393005,
-          -0.9644528031349182,
-          -0.9644528031349182,
-          0.18421055376529694,
-          -0.34306600689888,
-          -0.6099089980125427,
-          -0.522908627986908,
-          0.5520397424697876,
-          0.6777611374855042,
-          0.7900189757347107,
-          0.8836524486541748,
-          0.998988151550293,
-          0.6972864270210266,
-          0.9325829744338989,
-          -0.7420949339866638,
-          -0.8717162013053894,
-          0.3239639103412628,
-          0.3646659553050995,
-          0.18762114644050598,
-          0.4323038160800934,
-          0.49042609333992004,
-          0.4172574579715729,
-          -0.4056946337223053,
-          -0.7565715909004211,
-          -0.8770694732666016,
-          -0.6713137626647949,
-          0.3914759159088135,
-          0.5560338497161865,
-          0.401335746049881,
-          0.6967827081680298,
-          0.5735718011856079,
-          0.9659417867660522,
-          0.4600377678871155,
-          -0.7376769781112671,
-          -0.7612969279289246,
-          -0.8649499416351318,
-          -0.9680713415145874,
-          -0.07136695086956024,
-          0.08702337741851807,
-          -0.0012019457062706351,
-          -0.40912172198295593,
-          -0.006982382852584124,
-          -0.2469279021024704,
-          0.2634161114692688,
-          0.19823867082595825,
-          0.6264614462852478,
-          -0.0895332545042038,
-          0.15487948060035706,
-          0.010749834589660168,
-          0.21317049860954285,
-          0.3579390347003937,
-          0.6785242557525635,
-          0.4390743672847748,
-          0.2672802209854126,
-          -0.8758218884468079,
-          -0.963442862033844,
-          -0.9812936782836914,
-          0.47073882818222046,
-          0.4233376085758209,
-          0.6527111530303955,
-          0.6982703804969788,
-          0.6721965670585632,
-          0.9104544520378113,
-          0.8594658970832825,
-          0.9712696671485901,
-          0.7178391218185425,
-          0.9804772734642029,
-          0.9899379014968872,
-          -0.272844135761261,
-          -0.23376643657684326,
-          -0.262163907289505,
-          0.03704443946480751,
-          -0.4075758457183838,
-          -0.7010478377342224,
-          -0.20673303306102753,
-          -0.5571584105491638,
-          -0.8706849217414856,
-          -0.48726165294647217,
-          -0.2910931706428528,
-          -0.002765015931800008,
-          0.05970108136534691,
-          0.3084672689437866,
-          0.15337669849395752,
-          -0.6174674034118652,
-          -0.6328142881393433,
-          -0.5624826550483704,
-          0.1400715708732605,
-          0.3191937208175659,
-          0.02131892368197441,
-          -0.09887219220399857,
-          -0.13459566235542297,
-          0.031372569501399994,
-          -0.23347316682338715,
-          -0.1083475649356842,
-          0.10015857964754105,
-          -0.15261906385421753,
-          -0.3190996050834656,
-          0.5962103009223938,
-          0.944227933883667,
-          0.6263585686683655,
-          -0.03721585124731064,
-          -0.14064188301563263,
-          -0.12287423759698868,
-          0.1620333045721054,
-          0.051118478178977966,
-          0.025942236185073853,
-          0.9509856700897217,
-          0.07660112529993057,
-          -0.2148650735616684,
-          -0.2792571783065796,
-          -0.3916383981704712,
-          -0.5475131869316101,
-          -0.3573049306869507,
-          -0.5381907820701599,
-          0.5642790794372559,
-          0.39763057231903076,
-          0.4926196038722992,
-          0.6876794695854187,
-          0.9853602051734924,
-          0.9853602051734924,
-          0.2784459888935089,
-          0.33439427614212036,
-          0.3757942020893097,
-          0.5680580735206604,
-          -0.202531099319458,
-          0.04602264240384102,
-          0.1253708153963089,
-          -0.053822703659534454,
-          -0.09523261338472366,
-          -0.3647562861442566,
-          0.055967457592487335,
-          -0.18043585121631622,
-          -0.36183372139930725,
-          -0.26616132259368896,
-          0.5843426585197449,
-          0.7874525785446167,
-          0.3204408586025238,
-          0.46942922472953796,
-          -0.3549381494522095,
-          -0.15470989048480988,
-          -0.28662583231925964,
-          -0.45677778124809265,
-          -0.14482297003269196,
-          -0.3699699342250824,
-          -0.31996339559555054,
-          0,
-          0.03902474418282509,
-          -0.4207833707332611,
-          0.5997176170349121,
-          0.34521904587745667,
-          0.260562002658844,
-          0.301216721534729,
-          -0.39678168296813965,
-          -0.9933051466941833,
-          -0.48806899785995483,
-          -0.9801273941993713,
-          -0.9932265877723694,
-          -0.00268577691167593,
-          -0.4860992431640625,
-          -0.718903660774231,
-          -0.22610677778720856,
-          0.40737977623939514,
-          0.7242735624313354,
-          0.9194390773773193,
-          0.992190957069397,
-          0.5167772769927979,
-          -0.8444285988807678,
-          -0.6822850704193115,
-          0.6697694063186646,
-          0.9455884695053101,
-          -0.563209056854248,
-          -0.6827536821365356,
-          -0.6466551423072815,
-          -1,
-          0.00808846578001976,
-          -0.21341004967689514,
-          -0.08499597012996674,
-          -0.22998903691768646,
-          -0.6067743301391602,
-          -0.49108201265335083,
-          -0.5265984535217285,
-          -0.9826362729072571,
-          -0.23542766273021698,
-          -0.2631172835826874,
-          -0.38973894715309143,
-          -0.510794460773468,
-          0.614811897277832,
-          0.9284683465957642,
-          0.980880856513977,
-          0.6759928464889526,
-          0.7887943387031555,
-          0.334210067987442,
-          0.8685921430587769,
-          0.9433988928794861,
-          0.3017013370990753,
-          0.322925865650177,
-          0.0030513221863657236,
-          -0.08400421589612961,
-          0.1492752730846405,
-          0.15100379288196564,
-          0.2531687021255493,
-          0.22673995792865753,
-          0.08318476378917694,
-          -0.09412675350904465,
-          -0.10312476009130478,
-          0.00051957240793854,
-          0.1938382387161255,
-          -0.429431289434433,
-          -0.6668448448181152,
-          0.27889484167099,
-          -0.9699349999427795,
-          -0.6830593347549438,
-          -0.9178845286369324,
-          -0.8040575385093689,
-          -0.03522491827607155,
-          0.586391270160675,
-          0.9315357804298401,
-          0.7273709177970886,
-          0.23738005757331848,
-          0.16160446405410767,
-          0.196137934923172,
-          0.6648127436637878,
-          0.9904631972312927,
-          0.9321214556694031,
-          -0.9826473593711853,
-          -0.5793296098709106,
-          -0.5139965415000916,
-          -0.9829296469688416,
-          0.10490112006664276,
-          0.26333707571029663,
-          0.015549364499747753,
-          0.7950919270515442,
-          -0.22844749689102173,
-          0.08410408347845078,
-          -0.014554033055901527,
-          -0.40973183512687683,
-          -0.6088537573814392,
-          -0.7200993895530701,
-          -0.25975117087364197,
-          -0.05376914516091347,
-          0.25696367025375366,
-          -0.02727169543504715,
-          -0.9200538992881775,
-          -0.9851748943328857,
-          0.2039009928703308,
-          -0.18674251437187195,
-          -0.0373150035738945,
-          0.0003531149122864008,
-          0.7743528485298157,
-          0.49138516187667847,
-          0.8453116416931152,
-          0.8113861680030823,
-          -0.2243531048297882,
-          0.17102263867855072,
-          0.13133029639720917,
-          -0.8719936609268188,
-          -0.7000458240509033,
-          -0.5028141736984253,
-          0.5621294975280762,
-          -0.48999398946762085,
-          1,
-          0.9576523303985596,
-          -0.41538330912590027,
-          -0.5296134352684021,
-          -0.5272583365440369,
-          0.26668936014175415,
-          0.9760602116584778,
-          0.874788224697113,
-          -0.8827227354049683,
-          -0.9637153744697571,
-          -0.5040878057479858,
-          -0.27172648906707764,
-          0.274967223405838,
-          -0.01066218875348568,
-          0.29421308636665344,
-          0.1539771407842636,
-          0.15297439694404602,
-          0.35023635625839233,
-          -0.21796944737434387,
-          0.8537461161613464,
-          0.9835426211357117,
-          0.9496530294418335,
-          0.9985606074333191,
-          -0.2221001833677292,
-          0.4310095012187958,
-          0.6029019355773926,
-          0.7001603841781616,
-          0.8360967636108398,
-          0.519031286239624,
-          -0.9936496019363403,
-          -0.9828091859817505,
-          0.26668936014175415,
-          0.5236851572990417,
-          0.49962037801742554,
-          0.5692272782325745,
-          0.22008033096790314,
-          0.2918113172054291,
-          -0.005608721170574427,
-          0.03870052844285965,
-          0.26892536878585815,
-          -0.1814487725496292,
-          0.06543553620576859,
-          0.08210965245962143,
-          -0.09493392705917358,
-          0.23452402651309967,
-          0.04021294042468071,
-          -0.09652941673994064,
-          0.6716895699501038,
-          0.8282829523086548,
-          -0.5790790915489197,
-          -0.7159784436225891,
-          -0.874889612197876,
-          -0.9411375522613525,
-          -0.25209754705429077,
-          -0.6056337356567383,
-          -0.4996890425682068,
-          0.268974632024765,
-          0.4170511066913605,
-          0.2456361949443817,
-          0.17661170661449432,
-          -0.6461558938026428,
-          -0.8366621732711792,
-          -0.9373155832290649,
-          0.6573933362960815,
-          0.764940083026886,
-          0.4581672251224518,
-          0.012059792876243591,
-          -0.36481741070747375,
-          0.047285694628953934,
-          -0.19150404632091522,
-          -0.06492480635643005,
-          0.2849947214126587,
-          0.49767422676086426,
-          0.28277072310447693,
-          0.54390949010849,
-          0.1638433039188385,
-          -0.31062552332878113,
-          -0.08801092207431793,
-          -0.47230759263038635,
-          -0.2938145399093628,
-          -0.0704847201704979,
-          0.6260424852371216,
-          0.39466437697410583,
-          0.31425905227661133,
-          0.7220942974090576,
-          -0.7903173565864563,
-          0.2835279703140259,
-          0.6021785140037537,
-          0.5951641798019409,
-          0.3522506654262543,
-          0.5202761888504028,
-          0.6336329579353333,
-          0.44877156615257263,
-          0.5989428758621216,
-          0.9741127490997314,
-          0.9952908158302307,
-          0.6856418251991272,
-          -0.18962796032428741,
-          0.14198823273181915,
-          0.027870045974850655,
-          -0.2665543556213379,
-          -0.12062981724739075,
-          -0.35000452399253845,
-          -0.6031556725502014,
-          -0.7968862652778625,
-          -0.9509775042533875,
-          0.2576938569545746,
-          -0.17726917564868927,
-          0.9844260215759277,
-          -0.4435259699821472,
-          -0.1699523627758026,
-          0.6966899037361145,
-          0.9935153722763062,
-          0.994518518447876,
-          0.9067777991294861,
-          -0.9979760646820068,
-          -0.9827584624290466,
-          -0.01198972761631012,
-          0.004887382499873638,
-          0.9262871146202087,
-          -0.011220625601708889,
-          0.20926238596439362,
-          0.08175507932901382,
-          0.13949643075466156,
-          0.24324852228164673,
-          0.2432398945093155,
-          -0.03161051869392395,
-          0.41032442450523376,
-          0.5218767523765564,
-          -0.1977277398109436,
-          0.07446050643920898,
-          -0.20594902336597443,
-          -0.3251917064189911,
-          -0.6149249076843262,
-          0.4732542634010315,
-          0.07446050643920898,
-          0.3481038212776184,
-          0.22188933193683624,
-          0.2149362415075302,
-          -0.24006293714046478,
-          -0.2876802384853363,
-          0.41702282428741455,
-          0.19047819077968597,
-          -0.2501949965953827,
-          -0.15160758793354034,
-          0.43379339575767517,
-          0.0909355953335762,
-          0.451621413230896,
-          0.5065004825592041,
-          -0.9908729195594788,
-          -0.08206022530794144,
-          -0.027877792716026306,
-          0.5542229413986206,
-          -0.38842886686325073,
-          0.9741654992103577,
-          -0.3724351227283478,
-          -0.1986246407032013,
-          -0.3232215344905853,
-          0.7665350437164307,
-          0.5796975493431091,
-          -0.6754114627838135,
-          -0.8743530511856079,
-          -0.8580234050750732,
-          0.7657902240753174,
-          0.6770547032356262,
-          0.5566800236701965,
-          0.935212254524231,
-          -0.584112286567688,
-          0.017612561583518982,
-          -0.36803585290908813,
-          -0.5247402191162109,
-          0.4970661997795105,
-          -0.6998907327651978,
-          -0.5846438407897949,
-          0.9509856700897217,
-          0.8254937529563904,
-          0.6614059805870056,
-          0.5184406042098999,
-          -0.5043556690216064,
-          -0.8817981481552124,
-          -0.6980621218681335,
-          -0.3875381350517273,
-          -0.9762217998504639,
-          -0.9982428550720215,
-          0.2067089080810547,
-          0.11346746981143951,
-          0.01595616154372692,
-          -0.2828061878681183,
-          0.014170551672577858,
-          0.6205798983573914,
-          -0.8973569869995117,
-          -0.7388009428977966,
-          -0.5494065880775452,
-          -0.8166348338127136,
-          0.5313565731048584,
-          -0.004518178757280111,
-          0.48383238911628723,
-          -0.4977671205997467,
-          -0.11393170058727264,
-          -0.1845625638961792,
-          -0.3601009249687195,
-          -0.314405232667923,
-          0.48286524415016174,
-          0.20714795589447021,
-          0.040663253515958786,
-          -0.9531037211418152,
-          -0.26953038573265076,
-          -0.4040994942188263,
-          -0.26528051495552063,
-          0.23274151980876923,
-          -0.6318374872207642,
-          -0.9665676951408386,
-          0.005913611501455307,
-          0.49386274814605713,
-          0.23279796540737152,
-          0.24144552648067474,
-          0.3414899408817291,
-          0.30328240990638733,
-          -0.9941494464874268,
-          -0.3179697096347809,
-          -0.25289952754974365,
-          -0.4826950430870056,
-          -0.992070198059082,
-          -0.9115789532661438,
-          -0.5940829515457153,
-          -0.5463100671768188,
-          -0.9485341310501099,
-          -0.6519872546195984,
-          -0.9987034797668457,
-          -0.5913269519805908,
-          -0.7342608571052551,
-          1,
-          0.45685240626335144,
-          -0.0836566612124443,
-          -0.5427722334861755,
-          -0.2221001833677292,
-          -0.9979760646820068,
-          -0.7426897883415222,
-          0.4536954462528229,
-          -0.5354653596878052,
-          -0.5605345368385315,
-          -0.24477224051952362,
-          -0.31265220046043396,
-          -0.8582495450973511,
-          -0.2184845358133316,
-          -0.8255475759506226,
-          -0.8973569869995117,
-          -0.9509775042533875,
-          0.7109987735748291,
-          -0.3486618995666504,
-          -0.5666218400001526,
-          0.0820944681763649,
-          0.28015971183776855,
-          -0.9690587520599365,
-          -0.6733459830284119,
-          -0.929873526096344,
-          0.05627104640007019,
-          -0.5349896550178528,
-          -0.49556639790534973,
-          -0.2316868156194687,
-          -0.2666398584842682,
-          -0.5846438407897949,
-          0.9041470885276794,
-          0.34881946444511414,
-          0.73880535364151,
-          -0.4977671205997467,
-          -0.620514452457428,
-          0.3705782890319824,
-          -0.3981460928916931,
-          -0.7447241544723511,
-          -0.5671089291572571,
-          -0.7126420140266418,
-          0.3201524019241333,
-          -0.9361801147460938,
-          -0.021949056535959244,
-          0.26071488857269287,
-          0.11704500019550323,
-          -0.09812191873788834,
-          -0.6564890742301941,
-          0.5860076546669006,
-          0.23305492103099823,
-          0.1070864275097847,
-          0.02329915389418602,
-          -0.2407625913619995,
-          0.3414646089076996,
-          0.6114945411682129,
-          0.0007608749438077211,
-          -0.18877489864826202,
-          -0.06473154574632645,
-          -0.5393319725990295,
-          -0.37636464834213257,
-          -0.2776724100112915,
-          0.407381534576416,
-          0.5711175799369812,
-          0.10242214798927307,
-          -0.5774988532066345,
-          0.5009621977806091,
-          0.7229906320571899,
-          0.5307389497756958,
-          0.8771102428436279,
-          -0.6564419269561768,
-          -0.41044551134109497,
-          -0.6564419269561768,
-          -0.7309668660163879,
-          -0.9828091859817505,
-          -0.9828091859817505,
-          -0.31996339559555054,
-          0.02778959460556507,
-          -0.18145851790905,
-          -0.4760945737361908,
-          -0.6159340143203735,
-          -0.5961918830871582,
-          -0.6848282217979431,
-          -0.251895934343338,
-          0.29486724734306335,
-          0.40002304315567017,
-          0.9899379014968872,
-          0.7229412794113159,
-          0.9807852506637573,
-          -0.7337335348129272,
-          -0.8108888864517212,
-          -0.5162743926048279,
-          -0.6094732284545898,
-          -0.9194790720939636,
-          0.5308945178985596,
-          0.01500244252383709,
-          -0.7993972897529602,
-          0.9984241127967834,
-          -0.012843931093811989,
-          -0.8668404221534729,
-          0.990543007850647,
-          0.0920555591583252,
-          -0.31916898488998413,
-          0.9374285340309143,
-          0.7959373593330383,
-          0.8754876255989075,
-          -0.8362293243408203,
-          -0.6582773923873901,
-          -0.9916395545005798,
-          -0.8973569869995117,
-          0.061656251549720764,
-          0.5361354351043701,
-          0.36971715092658997,
-          -0.4583832919597626,
-          -0.46862149238586426,
-          -0.9807852506637573,
-          -0.9511585831642151,
-          -0.27999889850616455,
-          0.038460005074739456,
-          0.1938815712928772,
-          0.19310392439365387,
-          0.5270761847496033,
-          0.5389652252197266,
-          -0.5263717770576477,
-          0.31121960282325745,
-          0.13053779304027557,
-          0.2712872624397278,
-          0.9807852506637573,
-          -0.97075355052948,
-          0.9580817818641663,
-          0.7310782670974731,
-          0.5388161540031433,
-          0.9519411325454712,
-          0.8434329628944397,
-          -0.4833066761493683,
-          -0.20707954466342926,
-          -0.5099445581436157,
-          -0.6608012318611145,
-          -0.018839603289961815,
-          -0.7309668660163879,
-          -0.5254232883453369,
-          0.3551715314388275,
-          -0.21630725264549255,
-          -0.39276570081710815,
-          -0.07621423900127411,
-          0.02646898478269577,
-          0.3646659553050995,
-          0.8563774824142456,
-          0.5865227580070496,
-          0.46233615279197693,
-          0.8343841433525085,
-          -0.8973569869995117,
-          -0.5947028398513794,
-          -0.8064454793930054,
-          0.570570170879364,
-          0.5161767601966858,
-          0.48175233602523804,
-          0.4885003864765167,
-          -0.38643592596054077,
-          -0.4773034155368805,
-          -0.38785600662231445,
-          0.8576608896255493,
-          -0.9899351596832275,
-          0.9875081777572632,
-          -0.1636705994606018,
-          -0.9172571897506714,
-          -0.16427050530910492,
-          -0.4349454939365387,
-          -0.9953550100326538,
-          -0.9971668124198914,
-          0.6962160468101501,
-          0.5453452467918396,
-          -0.05568347126245499,
-          -0.6601232290267944,
-          -0.842789351940155,
-          -0.2496166080236435,
-          -0.8420789837837219,
-          -0.8744059801101685,
-          -0.834104597568512,
-          -0.9026780724525452,
-          0.9523860216140747,
-          0.9934259653091431,
-          -0.7173683643341064,
-          -0.9974165558815002,
-          0.3086850345134735,
-          -0.8398857116699219,
-          -0.2520681619644165,
-          -0.2881055772304535,
-          -0.17640793323516846,
-          -0.8340798020362854,
-          0.803859293460846,
-          -0.5375675559043884,
-          -0.35286054015159607,
-          -0.40147092938423157,
-          -0.5391048192977905,
-          -0.4075758457183838,
-          -0.06929513067007065,
-          0.4999752938747406,
-          0.5083998441696167,
-          0.7683452367782593,
-          0.44873738288879395,
-          0.1870150864124298,
-          0.44929590821266174,
-          0.7604588270187378,
-          -0.253332257270813,
-          0.7990961074829102,
-          -0.4588089883327484,
-          -0.36481741070747375,
-          -0.2928994297981262,
-          -0.620514452457428,
-          -0.8754743337631226,
-          -0.6474624276161194,
-          -0.7147241830825806,
-          -0.8206048011779785,
-          0.8667620420455933,
-          0.8917268514633179,
-          0.9518074989318848,
-          -0.5455569624900818,
-          0.06518997251987457,
-          -0.1746850311756134,
-          0.711083710193634,
-          -0.7957763075828552,
-          -0.23037903010845184,
-          0.4979412853717804,
-          -0.9531556367874146,
-          -0.9841888546943665,
-          0.04183444380760193,
-          0.8254937529563904,
-          0.9814017415046692,
-          -0.5506122708320618,
-          0.9509856700897217,
-          0.8974766731262207,
-          0.8271036744117737,
-          0.6565945744514465,
-          0.5882179737091064,
-          0.4074084758758545,
-          0.1779918372631073,
-          0.8254937529563904,
-          0.3646659553050995,
-          0.6998251676559448,
-          -0.25461456179618835,
-          -0.16163697838783264,
-          0.5031144618988037,
-          0.056570108979940414,
-          0.4599801003932953,
-          0.22676178812980652,
-          -0.27921000123023987,
-          -0.5993555784225464,
-          0.9872598648071289,
-          -0.1492013782262802,
-          -0.11010982096195221,
-          0.08578278124332428,
-          -0.176510289311409,
-          0.12077020108699799,
-          -0.08411595970392227,
-          0.9915391802787781,
-          0.7307949662208557,
-          0.8754876255989075,
-          -0.2441762387752533,
-          -0.14552778005599976,
-          -0.2168065309524536,
-          -0.4977671205997467,
-          0.6998251676559448,
-          0.5844343304634094,
-          -0.4977671205997467,
-          -0.5964337587356567,
-          0.16315852105617523,
-          0.7636315226554871,
-          0.265627384185791,
-          0.9430791139602661,
-          0.6161730289459229,
-          0.9977315664291382,
-          0.9039280414581299,
-          -0.06703191250562668,
-          0.4994438886642456,
-          0.4858933091163635,
-          0.9834839701652527,
-          0.880670964717865,
-          0.8490715026855469,
-          0.9645264744758606,
-          -0.9836878776550293,
-          0.020235415548086166,
-          0.6966110467910767,
-          0.9339800477027893,
-          0.5601944327354431,
-          -0.00601609330624342,
-          0.22188933193683624,
-          0.06982731819152832,
-          0.42058631777763367,
-          -0.20701900124549866,
-          -0.5002540349960327,
-          -0.9948720335960388,
-          -0.6225435733795166,
-          0.29936158657073975,
-          -0.9993430376052856,
-          -0.8705465197563171,
-          0.9978688955307007,
-          0.9816693663597107,
-          -0.2221001833677292,
-          -0.07432012259960175,
-          0.005510379560291767,
-          0.93561190366745,
-          0.769040584564209,
-          0.4979412853717804,
-          0.09552592039108276,
-          -0.4952143132686615,
-          0.8628236055374146,
-          0.891992449760437,
-          0.3251786231994629,
-          -0.9622695446014404,
-          -0.9051315188407898,
-          0.6972473859786987,
-          -0.9227719902992249,
-          -0.9991018772125244,
-          0.9954250454902649,
-          -0.2867448031902313,
-          0.40268635749816895,
-          0.14126500487327576,
-          0.9529435634613037,
-          0.6507450938224792,
-          0.27342158555984497,
-          -0.9639715552330017,
-          -0.971455454826355,
-          0.9434934258460999,
-          0.7417119145393372,
-          0.922407329082489,
-          0.7960216403007507,
-          0.39301806688308716,
-          0.44151046872138977,
-          0.9164034128189087,
-          -0.45337846875190735,
-          -0.7604051232337952,
-          -0.9881238341331482,
-          0.3329641819000244,
-          0.5564926266670227,
-          -0.7899213433265686,
-          0.7021987438201904,
-          -0.9409090876579285,
-          0.8222968578338623,
-          -0.1262354850769043,
-          0.9899379014968872,
-          0.8101232051849365,
-          0.4139884412288666,
-          0.4850161373615265,
-          0.8455127477645874,
-          -0.7117887139320374,
-          -0.9599732160568237,
-          0.32545220851898193,
-          -0.017274606972932816,
-          0.0917535200715065,
-          0.9274268746376038,
-          0.7069732546806335
-         ],
-         "z": [
-          0.24893133342266083,
-          0.06961314380168915,
-          0.38458311557769775,
-          0.045085154473781586,
-          -0.2524856626987457,
-          -0.6164182424545288,
-          -0.4557993710041046,
-          -0.09390309453010559,
-          -0.6660021543502808,
-          -0.5890951156616211,
-          -0.9959505200386047,
-          -0.6060599088668823,
-          -0.298443466424942,
-          -0.4645257592201233,
-          -0.23048292100429535,
-          -0.21867342293262482,
-          -0.31317806243896484,
-          0.07732536643743515,
-          -0.3414348065853119,
-          -0.05248579755425453,
-          -0.10382933914661407,
-          -0.019813725724816322,
-          0.2175561636686325,
-          0.13014905154705048,
-          0.40530869364738464,
-          0.7156205773353577,
-          0.7926167249679565,
-          0.4570474326610565,
-          -0.13187628984451294,
-          0.12653519213199615,
-          -0.22819986939430237,
-          -0.3281902074813843,
-          0.28013405203819275,
-          0.6267420649528503,
-          0.39846572279930115,
-          0.3510749340057373,
-          -0.33739176392555237,
-          -0.18817365169525146,
-          -0.24846261739730835,
-          -0.5050169229507446,
-          -0.5259588956832886,
-          -0.26771974563598633,
-          -0.446445107460022,
-          -0.248659148812294,
-          0.24804984033107758,
-          0.18279309570789337,
-          0.03786000609397888,
-          -0.07831154018640518,
-          -0.20537401735782623,
-          0.22865191102027893,
-          0.03590712696313858,
-          0.0510106198489666,
-          -0.5112490653991699,
-          -0.4819660484790802,
-          -0.5647855401039124,
-          -0.9934210777282715,
-          -0.9370624423027039,
-          -0.3811916410923004,
-          -0.5316653251647949,
-          -0.5263366103172302,
-          -0.7243698835372925,
-          -0.8403451442718506,
-          -0.5899010300636292,
-          -0.9501896500587463,
-          -0.9997191429138184,
-          0.3994015157222748,
-          0.5550714731216431,
-          0.1366790235042572,
-          0.33598801493644714,
-          0.49225300550460815,
-          0.6483957171440125,
-          0.3165377676486969,
-          0.05070596933364868,
-          0.3658945858478546,
-          0.07349245995283127,
-          0.02135220356285572,
-          0.9899535775184631,
-          0.6588714122772217,
-          0.9584241509437561,
-          0.7039474248886108,
-          0.9926663041114807,
-          0.5769069790840149,
-          0.6764622330665588,
-          0.998921275138855,
-          0.5113556385040283,
-          0.5350059866905212,
-          0.4005412459373474,
-          0.18379539251327515,
-          -0.6124829649925232,
-          -0.916515052318573,
-          -0.6823439002037048,
-          0.06995134800672531,
-          -0.09971776604652405,
-          0.30412760376930237,
-          -0.678033173084259,
-          -0.5627862811088562,
-          -0.42405495047569275,
-          -0.4404540956020355,
-          -0.22640195488929749,
-          -0.2587750554084778,
-          -0.5708564519882202,
-          -0.5173807144165039,
-          -0.9726678133010864,
-          -0.6065524220466614,
-          -0.9628442525863647,
-          -0.060457516461610794,
-          0.07383366674184799,
-          0.033002905547618866,
-          -0.26771634817123413,
-          -0.29332637786865234,
-          -0.2589031755924225,
-          0.4012563228607178,
-          0.6697467565536499,
-          0.37911468744277954,
-          0.6959860324859619,
-          -0.3439806401729584,
-          -0.709836483001709,
-          -0.36161622405052185,
-          -0.5031288266181946,
-          -0.37700721621513367,
-          -0.027168434113264084,
-          0.1186046227812767,
-          0.9283714294433594,
-          0.6873116493225098,
-          0.9881190061569214,
-          0.9892323613166809,
-          0.6267638206481934,
-          0.6916837096214294,
-          0.3116864562034607,
-          0.45751941204071045,
-          -0.30098357796669006,
-          -0.5340659618377686,
-          -0.070583276450634,
-          0.9836627840995789,
-          0.9826307892799377,
-          0.2885918915271759,
-          0.23875781893730164,
-          -0.0010253038490191102,
-          -0.01305148471146822,
-          -0.7080255746841431,
-          -0.5416524410247803,
-          -0.7137928605079651,
-          -0.8609718084335327,
-          -0.6466995477676392,
-          -0.22543102502822876,
-          -0.46304792165756226,
-          0.40055951476097107,
-          0.5511629581451416,
-          0.4643996059894562,
-          -0.24696844816207886,
-          0.0023746946826577187,
-          -0.121971994638443,
-          0.09900698065757751,
-          0.24953289330005646,
-          0.22445939481258392,
-          0.10599268972873688,
-          -0.02011456899344921,
-          0.4988115429878235,
-          0.9421597123146057,
-          0.7781175374984741,
-          0.7483584880828857,
-          -0.9510202407836914,
-          -0.5498870611190796,
-          -0.8496232032775879,
-          -0.25599583983421326,
-          -0.018814457580447197,
-          0.0450722798705101,
-          0.006867034826427698,
-          0.9926801323890686,
-          -0.33451950550079346,
-          -0.6014363765716553,
-          -0.3249167501926422,
-          -0.42981573939323425,
-          -0.7796371579170227,
-          -0.6329610347747803,
-          -0.9835079908370972,
-          -0.9459924101829529,
-          -0.5039926767349243,
-          -0.4338308274745941,
-          -0.25865885615348816,
-          -0.6047350168228149,
-          -0.20979124307632446,
-          0.5729902386665344,
-          0.7663477659225464,
-          0.29461243748664856,
-          0.5809187293052673,
-          -0.18392319977283478,
-          0.020668039098381996,
-          -0.27200955152511597,
-          0.03924412652850151,
-          0.0195060633122921,
-          0.3324436545372009,
-          0.6782426834106445,
-          0.17382746934890747,
-          0.4320796728134155,
-          0.20146599411964417,
-          0.37333109974861145,
-          0.5286331176757812,
-          -0.02363656461238861,
-          -0.0906238928437233,
-          0.5550857782363892,
-          0.5451454520225525,
-          0.5945549011230469,
-          -0.7518652677536011,
-          -0.5248426795005798,
-          -0.387797087430954,
-          -0.5349641442298889,
-          -0.25117042660713196,
-          0.1672535389661789,
-          -0.030160700902342796,
-          0.2272733896970749,
-          0.22918443381786346,
-          0.0007958645583130419,
-          -0.47246626019477844,
-          -0.26326435804367065,
-          -0.2667330503463745,
-          0.2950707972049713,
-          0.5224003791809082,
-          0.24893133342266083,
-          0.24893133342266083,
-          -0.3438313901424408,
-          0.2669813930988312,
-          -0.05906572937965393,
-          0.3875717222690582,
-          0.2657814919948578,
-          0.7311900854110718,
-          0.6060779690742493,
-          0.45794302225112915,
-          -0.010273333638906479,
-          0.1575591117143631,
-          0.3539920449256897,
-          -0.6644736528396606,
-          -0.48027414083480835,
-          -0.9416919350624084,
-          0.9293450713157654,
-          0.4946977198123932,
-          0.5810832977294922,
-          0.8662898540496826,
-          0.9053993225097656,
-          0.5155513882637024,
-          0.6468337774276733,
-          0.4702588617801666,
-          0.11277738958597183,
-          -0.048379454761743546,
-          -0.2031347006559372,
-          -0.4603961706161499,
-          -0.1806602030992508,
-          0.10649269074201584,
-          0.24402277171611786,
-          0.22087182104587555,
-          0.6698569059371948,
-          0.6410759091377258,
-          0.4929329752922058,
-          0.23700262606143951,
-          -0.37436285614967346,
-          -0.2582411468029022,
-          0.000663433806039393,
-          -0.9097479581832886,
-          -0.6664299368858337,
-          -0.9650605320930481,
-          0.4332942068576813,
-          0.19210495054721832,
-          0.2930695116519928,
-          0.23533089458942413,
-          0.6286520957946777,
-          0.6442918181419373,
-          0.34618571400642395,
-          -0.006241363473236561,
-          0.1833106428384781,
-          0.29168185591697693,
-          -0.002174111781641841,
-          0.47259294986724854,
-          0.25226056575775146,
-          0.1899283230304718,
-          0.1295872926712036,
-          -0.14776815474033356,
-          -0.007787336595356464,
-          0.1263086497783661,
-          0.15495635569095612,
-          0.40780001878738403,
-          0.5031928420066833,
-          0.22645917534828186,
-          0.04210563376545906,
-          0.1961057186126709,
-          -0.10216209292411804,
-          0.28054866194725037,
-          0.4921416640281677,
-          0.18888798356056213,
-          0.29682838916778564,
-          0.9105742573738098,
-          0.7120792269706726,
-          0.46320977807044983,
-          0.830166220664978,
-          0.48220357298851013,
-          -0.8679813146591187,
-          -0.9516631364822388,
-          0.47452154755592346,
-          0.7259277701377869,
-          0.6084266901016235,
-          0.9848937392234802,
-          -0.23830050230026245,
-          -0.76807701587677,
-          -0.44848307967185974,
-          -0.24442195892333984,
-          0.0057609472423791885,
-          0.04943608120083809,
-          -0.038206059485673904,
-          -0.20376498997211456,
-          -0.33428671956062317,
-          -0.4373824894428253,
-          -0.42244595289230347,
-          -0.6520264744758606,
-          -0.36086952686309814,
-          -0.6188114285469055,
-          0.1818607598543167,
-          -0.31560376286506653,
-          -0.2107848972082138,
-          -0.6734336614608765,
-          0.9861479997634888,
-          0.9878979325294495,
-          0.9840410947799683,
-          0.34084373712539673,
-          -0.6104958653450012,
-          0.29332637786865234,
-          0.6329606175422668,
-          0.4734562635421753,
-          0.6387461423873901,
-          0.9190930128097534,
-          -0.34333351254463196,
-          -0.19907696545124054,
-          -0.007516813464462757,
-          0.35606294870376587,
-          0.5664986968040466,
-          0.2380324900150299,
-          0.02087165042757988,
-          0.1486402451992035,
-          -0.1486402451992035,
-          -0.5884139537811279,
-          -0.24894261360168457,
-          -0.5900663137435913,
-          -0.4645562767982483,
-          0.22966508567333221,
-          0.30052053928375244,
-          0.25223761796951294,
-          0.4725068509578705,
-          0.9906204342842102,
-          0.53376704454422,
-          0.5839667320251465,
-          0.9822286367416382,
-          -0.5414755940437317,
-          -0.959226131439209,
-          -0.8078566789627075,
-          -0.6092051267623901,
-          -0.634707510471344,
-          -0.5340558290481567,
-          0.20579388737678528,
-          0.5619252324104309,
-          0.020743170753121376,
-          -0.8842752575874329,
-          -0.9857361912727356,
-          -0.5279218554496765,
-          -0.9429054260253906,
-          0,
-          -0.4684806168079376,
-          -0.21044278144836426,
-          -0.7952387928962708,
-          -0.9352442026138306,
-          -0.9609246850013733,
-          -0.4732184112071991,
-          0.23765499889850616,
-          -0.0679740384221077,
-          -0.14824911952018738,
-          0.19725912809371948,
-          -0.06877187639474869,
-          -0.07851611077785492,
-          0.8686026334762573,
-          0.6927322745323181,
-          0.6234987378120422,
-          0.5488587021827698,
-          -0.19145558774471283,
-          -0.3909909725189209,
-          -0.07928632199764252,
-          -0.3109854459762573,
-          0.5313256978988647,
-          0.03555777668952942,
-          0.0490003265440464,
-          0.31111860275268555,
-          0.10442136228084564,
-          0.17511685192584991,
-          -0.11836609244346619,
-          0,
-          -0.01821127161383629,
-          -0.3708040714263916,
-          -0.2981916069984436,
-          -0.46162664890289307,
-          -0.1726837307214737,
-          -0.123359814286232,
-          0.4126456081867218,
-          0.17629684507846832,
-          0.43020865321159363,
-          -0.16406390070915222,
-          -0.29134809970855713,
-          -0.3465260863304138,
-          -0.1638673096895218,
-          -0.36755621433258057,
-          -0.19412018358707428,
-          -0.2797713577747345,
-          0.6075701713562012,
-          0.654580295085907,
-          -0.4861188530921936,
-          -0.31833672523498535,
-          -0.5780981779098511,
-          -0.6000235080718994,
-          -0.004480898380279541,
-          0.06860040128231049,
-          -0.24482126533985138,
-          0.28688132762908936,
-          -0.9631673693656921,
-          -0.971184492111206,
-          -0.5911328792572021,
-          -0.9907293319702148,
-          0.5847785472869873,
-          0.9999487996101379,
-          0.5352766513824463,
-          -0.8988922834396362,
-          -0.7401489019393921,
-          0.9553634524345398,
-          -0.23085886240005493,
-          -0.11746350675821304,
-          -0.3938993215560913,
-          -0.5889719724655151,
-          -0.2792058289051056,
-          -0.3732108473777771,
-          -0.3574441075325012,
-          -0.6824148297309875,
-          -0.22026440501213074,
-          -0.5700737833976746,
-          -0.5176344513893127,
-          0.12050525844097137,
-          -0.09682867676019669,
-          -0.35551348328590393,
-          -0.17618408799171448,
-          -0.2755252420902252,
-          0.04571164771914482,
-          -0.17331843078136444,
-          -0.9896681308746338,
-          -0.6911693215370178,
-          -0.5965977907180786,
-          -0.5998966097831726,
-          -0.9706664681434631,
-          -0.9917164444923401,
-          -0.6897068619728088,
-          -0.9094218611717224,
-          0.78774094581604,
-          0.6912752389907837,
-          0.0785423144698143,
-          0.016106540337204933,
-          -0.22879524528980255,
-          0.013991397805511951,
-          -0.38984066247940063,
-          -0.15052154660224915,
-          -0.5829851031303406,
-          -0.23330901563167572,
-          0.059916771948337555,
-          0.0003111835103482008,
-          0.6251672506332397,
-          0.31113284826278687,
-          0.5296736359596252,
-          -0.5800420045852661,
-          0.5752048492431641,
-          0.6355389952659607,
-          0.25313037633895874,
-          -0.47975510358810425,
-          -0.7129015326499939,
-          0.2674548923969269,
-          -0.20113208889961243,
-          0.3797936737537384,
-          1.1691379777549558e-15,
-          -0.2713494598865509,
-          0.40313920378685,
-          0.845343828201294,
-          0.39367449283599854,
-          -0.9590659737586975,
-          -0.2106667459011078,
-          -0.47452685236930847,
-          -0.4596824049949646,
-          -0.25136223435401917,
-          0.15601640939712524,
-          0.08271649479866028,
-          0.9565548896789551,
-          0.7303852438926697,
-          0.6288405656814575,
-          0.9848345518112183,
-          -0.09036430716514587,
-          -0.42064154148101807,
-          -0.9738449454307556,
-          -0.5138938426971436,
-          -0.16709473729133606,
-          -0.2977195680141449,
-          0.014614290557801723,
-          0.9725919365882874,
-          -0.593136191368103,
-          0.7926254868507385,
-          0.7128075361251831,
-          0.5469134449958801,
-          0.4639262855052948,
-          -0.06447644531726837,
-          0.17454104125499725,
-          -0.9590659737586975,
-          -0.8485125303268433,
-          -0.8613754510879517,
-          -0.8202615976333618,
-          -0.9732046723365784,
-          -0.44705015420913696,
-          -0.9994475841522217,
-          -0.7387363910675049,
-          -0.9583876729011536,
-          0.5713192224502563,
-          0.6820598244667053,
-          0.6784961819648743,
-          0.9906498193740845,
-          -0.9688231945037842,
-          -0.6363033056259155,
-          -0.9904927015304565,
-          -0.09575266391038895,
-          -0.5594531893730164,
-          0.3919374942779541,
-          0.6962965726852417,
-          0.4743371605873108,
-          0.32579144835472107,
-          -0.036251384764909744,
-          0.30545035004615784,
-          -0.3993871510028839,
-          -0.16404372453689575,
-          -0.05687348172068596,
-          0.06529530882835388,
-          -0.2403002232313156,
-          -0.21965867280960083,
-          -0.5458555817604065,
-          -0.33839061856269836,
-          -0.7479055523872375,
-          -0.6366367340087891,
-          -0.8835325837135315,
-          -0.998812198638916,
-          0.9292991161346436,
-          0.5906811952590942,
-          0.1568344235420227,
-          0.329791784286499,
-          0.6214436292648315,
-          0.8624156713485718,
-          0.9541876912117004,
-          0.8377023935317993,
-          0.16098438203334808,
-          0.5198801755905151,
-          0.4614923894405365,
-          0.4828778803348541,
-          -0.4090541899204254,
-          -0.6571433544158936,
-          0.7736345529556274,
-          0.9174755811691284,
-          0.5050711035728455,
-          0.6888444423675537,
-          -0.6057143807411194,
-          0.9539580345153809,
-          0.7932191491127014,
-          0.3558451235294342,
-          -0.294318825006485,
-          -0.43747037649154663,
-          -0.2859049141407013,
-          -0.5471164584159851,
-          0.3661544919013977,
-          0.21708662807941437,
-          0.047813039273023605,
-          -0.10936380922794342,
-          -0.9813233017921448,
-          0.6716124415397644,
-          0.9972550272941589,
-          0.9591069221496582,
-          0.9881190061569214,
-          -0.5873571634292603,
-          -0.7924172282218933,
-          -0.597710132598877,
-          -0.2933533787727356,
-          0.6591892242431641,
-          0.982540488243103,
-          0.15812546014785767,
-          0.5574328303337097,
-          0.3088320791721344,
-          -0.15484392642974854,
-          0.06583964824676514,
-          0.0556543804705143,
-          -0.41467854380607605,
-          -0.020549282431602478,
-          -0.17505614459514618,
-          -0.6844256520271301,
-          -0.14388316869735718,
-          0.37474673986434937,
-          -0.9988948702812195,
-          -0.18562301993370056,
-          0.21414516866207123,
-          0.1545124351978302,
-          -0.0718170553445816,
-          0.09742579609155655,
-          0.2770216763019562,
-          -0.1361367404460907,
-          0.23760713636875153,
-          -0.979985237121582,
-          -0.9926663041114807,
-          -0.9774913191795349,
-          -0.16620796918869019,
-          0.3408176600933075,
-          -0.8754684329032898,
-          -0.9926663041114807,
-          -0.9343691468238831,
-          -0.9726558923721313,
-          0.3258844017982483,
-          -0.6285980939865112,
-          -0.9526984095573425,
-          0.5530601739883423,
-          0.4029441475868225,
-          -0.15432234108448029,
-          -0.25908252596855164,
-          0.4096115529537201,
-          0.43439316749572754,
-          -0.8870314359664917,
-          -0.41186952590942383,
-          0.09266889840364456,
-          0.2557157576084137,
-          0.6775721907615662,
-          -0.4413914978504181,
-          0.13172948360443115,
-          0.21691279113292694,
-          -0.9269883036613464,
-          0.30631664395332336,
-          0.21891158819198608,
-          -0.6346932053565979,
-          -0.3447767496109009,
-          0.130438894033432,
-          0.47534096240997314,
-          0.5058916211128235,
-          -0.6356008052825928,
-          -0.24553059041500092,
-          -0.17978045344352722,
-          -0.34532439708709717,
-          -0.2420850694179535,
-          -0.4619636535644531,
-          -0.4826432168483734,
-          0.5221319198608398,
-          0.029748890548944473,
-          -0.7130288481712341,
-          -0.8076095581054688,
-          0.29332637786865234,
-          0.5628518462181091,
-          0.06730208545923233,
-          0.4723880887031555,
-          -0.12552547454833984,
-          -0.4614121615886688,
-          0.08412102609872818,
-          -0.13070812821388245,
-          -0.2101341336965561,
-          0.01784065179526806,
-          0.9772608280181885,
-          0.9888244271278381,
-          0.998428463935852,
-          0.9541769623756409,
-          0.9986042976379395,
-          -0.7781175374984741,
-          0.43230360746383667,
-          0.6684873104095459,
-          0.2304299771785736,
-          -0.5736464858055115,
-          -0.844412088394165,
-          0.00047851071576587856,
-          -0.8698142766952515,
-          -0.8623660206794739,
-          -0.6524214744567871,
-          0.4876599907875061,
-          0.41059526801109314,
-          0.11519432067871094,
-          0.027569491416215897,
-          -0.18464042246341705,
-          0.07333831489086151,
-          -0.28634411096572876,
-          -0.628840982913971,
-          -0.4625285863876343,
-          -0.7084884643554688,
-          0.13881811499595642,
-          0.013083233498036861,
-          -0.2419593632221222,
-          -0.9994175434112549,
-          -0.8644529581069946,
-          -0.969346821308136,
-          0.6237660050392151,
-          0.3980129659175873,
-          0.07845746725797653,
-          0.059401463717222214,
-          0.9435102343559265,
-          0.6205036044120789,
-          0.8704222440719604,
-          0.0805128887295723,
-          0.40569618344306946,
-          0.7998630404472351,
-          -0.15637905895709991,
-          -0.30140817165374756,
-          -0.10545636713504791,
-          0.013164041563868523,
-          -0.8021248579025269,
-          -0.674019455909729,
-          1.1381953347961641e-15,
-          0.8842353820800781,
-          0.70960932970047,
-          0.8383103013038635,
-          0.9725919365882874,
-          -0.020549282431602478,
-          0.6637487411499023,
-          -0.4817539155483246,
-          0.842215895652771,
-          0.827395498752594,
-          0.5711965560913086,
-          0.9451232552528381,
-          -0.505468487739563,
-          -0.5622516870498657,
-          0.5627862811088562,
-          0.43230360746383667,
-          0.2933533787727356,
-          -0.7023643851280212,
-          0.5701262354850769,
-          0.32938721776008606,
-          -0.9919143915176392,
-          -0.9549797773361206,
-          0.23374751210212708,
-          0.026159776374697685,
-          -0.36292386054992676,
-          0.9944577813148499,
-          0.021349981427192688,
-          -0.4515495300292969,
-          -0.0596543550491333,
-          -0.054855652153491974,
-          -0.8076095581054688,
-          -0.4196002781391144,
-          -0.4410720765590668,
-          -0.6684819459915161,
-          0.8623660206794739,
-          0.7781712412834167,
-          -0.4617902934551239,
-          0.9156145453453064,
-          0.6612699031829834,
-          0.8220000267028809,
-          0.7003620862960815,
-          0.9428480863571167,
-          0.3421337604522705,
-          0.009491427801549435,
-          -0.024708475917577744,
-          -0.243136465549469,
-          -0.6658512353897095,
-          0.05885906517505646,
-          -0.12039002776145935,
-          -0.9692688584327698,
-          -0.9894528985023499,
-          -0.712857186794281,
-          0.9669307470321655,
-          0.9363831281661987,
-          0.7855737209320068,
-          0.0020480032544583082,
-          0.48156502842903137,
-          0.23229436576366425,
-          0.2777603268623352,
-          0.9257963299751282,
-          0.6556273102760315,
-          -0.9106780886650085,
-          -0.3095446527004242,
-          0.9899122714996338,
-          -0.8134732842445374,
-          0.8606582283973694,
-          0.6877522468566895,
-          0.4117426872253418,
-          0.4701825976371765,
-          0.7486863732337952,
-          0.544661283493042,
-          0.7486863732337952,
-          0.678033173084259,
-          0.17454104125499725,
-          -0.17454104125499725,
-          -0.9429054260253906,
-          -0.9972629547119141,
-          -0.7024728059768677,
-          0.484409362077713,
-          -0.7819303274154663,
-          -0.7981323003768921,
-          -0.7253903150558472,
-          -0.28735053539276123,
-          0.36599305272102356,
-          -0.9146113395690918,
-          -0.10216209292411804,
-          0.01893974095582962,
-          0.19509032368659973,
-          -0.6746619939804077,
-          -0.580647885799408,
-          -0.8524736762046814,
-          -0.38539648056030273,
-          0.3909161388874054,
-          0.8446590304374695,
-          -0.9985224008560181,
-          0.5946504473686218,
-          -0.01600003056228161,
-          0.40821167826652527,
-          0.48939603567123413,
-          -0.09601835906505585,
-          -0.9909332990646362,
-          -0.5974749326705933,
-          0.33801841735839844,
-          0.5988664031028748,
-          0.47321829199790955,
-          0.5466654896736145,
-          -0.08516772836446762,
-          -0.08488517999649048,
-          -0.43230360746383667,
-          -0.9939273595809937,
-          -0.8418577313423157,
-          0.37960660457611084,
-          0.3056824207305908,
-          -0.3595028221607208,
-          -0.19509032368659973,
-          -0.29275640845298767,
-          -0.9550285339355469,
-          0.9962120056152344,
-          0.9809043407440186,
-          0.6006340980529785,
-          0.8467000126838684,
-          -0.8403451442718506,
-          -0.8470764756202698,
-          0.2801212966442108,
-          -0.9871431589126587,
-          0.08321216702461243,
-          0.19509032368659973,
-          0.22816050052642822,
-          -0.2699337899684906,
-          -0.6778974533081055,
-          -0.8404248356819153,
-          0.2901766896247864,
-          0.5331884622573853,
-          0.44227609038352966,
-          0.9771484136581421,
-          0.8558570742607117,
-          -0.7451087236404419,
-          0.9981444478034973,
-          -0.678033173084259,
-          -0.8475834727287292,
-          0.3360883593559265,
-          0.9743492007255554,
-          -0.282871812582016,
-          -0.22345055639743805,
-          0.3189956545829773,
-          -0.9293450713157654,
-          0.5089709162712097,
-          0.8060675263404846,
-          0.8813042640686035,
-          -0.5501174926757812,
-          0.43230360746383667,
-          0.399971067905426,
-          0.5860621929168701,
-          -0.8191595077514648,
-          0.8525258898735046,
-          0.4839176535606384,
-          0.43716105818748474,
-          0.44707098603248596,
-          -0.004523725248873234,
-          -0.0728132501244545,
-          -0.5065698027610779,
-          0.10219016671180725,
-          0.12683188915252686,
-          0.46737194061279297,
-          -0.39507293701171875,
-          0.14336158335208893,
-          0.5697399377822876,
-          -0.04716167598962784,
-          -0.02876582369208336,
-          0.716044545173645,
-          0.8369349837303162,
-          -0.3292773365974426,
-          0.7456651926040649,
-          0.5343924760818481,
-          -0.9642449021339417,
-          -0.535721480846405,
-          -0.4752419590950012,
-          0.5506404638290405,
-          0.42234858870506287,
-          0.2887100875377655,
-          -0.06674723327159882,
-          0.6946030259132385,
-          0.02623007260262966,
-          0.946326732635498,
-          -0.5398248434066772,
-          -0.9635012149810791,
-          -0.9525694251060486,
-          -0.5915231704711914,
-          -0.5506868362426758,
-          0.5892135500907898,
-          -0.8410922288894653,
-          -0.9329262375831604,
-          -0.9138374328613281,
-          0.8402705788612366,
-          0.9105742573738098,
-          -0.9931750297546387,
-          -0.4777680039405823,
-          -0.8566827178001404,
-          -0.6324874758720398,
-          0.8885729312896729,
-          0.9815806150436401,
-          -0.13777193427085876,
-          -0.6420971155166626,
-          -0.5806383490562439,
-          0.5950174927711487,
-          -0.8831895589828491,
-          -0.9292991161346436,
-          -0.515745222568512,
-          -0.7781712412834167,
-          -0.47324317693710327,
-          0.7560555934906006,
-          -0.6978248953819275,
-          0.5688090324401855,
-          0.48954278230667114,
-          -0.4428369104862213,
-          -0.2906172573566437,
-          -0.8368217945098877,
-          -0.9935793280601501,
-          0.982795000076294,
-          -0.7022608518600464,
-          -0.5990626811981201,
-          0.4099653661251068,
-          0.8622729182243347,
-          -0.286173015832901,
-          0.16053339838981628,
-          0.6610923409461975,
-          0.5628518462181091,
-          0.18883104622364044,
-          0.8341196775436401,
-          -0.29332637786865234,
-          -0.4320796728134155,
-          -0.5608901381492615,
-          -0.7485610842704773,
-          -0.06010530889034271,
-          0.21931923925876617,
-          -0.22103886306285858,
-          -0.5628518462181091,
-          0.9293450713157654,
-          0.7130826711654663,
-          0.9627287983894348,
-          0.9840801358222961,
-          -0.8595077991485596,
-          0.31655168533325195,
-          0.882563591003418,
-          0.971177875995636,
-          -0.9552678465843201,
-          0.7955359220504761,
-          -0.12935291230678558,
-          0.9853049516677856,
-          -0.33821555972099304,
-          0.9915511608123779,
-          -0.9826152324676514,
-          -0.9881051778793335,
-          0.9917153120040894,
-          0.08590389788150787,
-          -0.6782426834106445,
-          0.47321829199790955,
-          -0.17458701133728027,
-          -0.445766419172287,
-          -0.648909866809845,
-          -0.8623660206794739,
-          0.7130826711654663,
-          0.807781457901001,
-          0.8623660206794739,
-          -0.31360378861427307,
-          0.9839302897453308,
-          0.6382311582565308,
-          -0.9593880772590637,
-          0.3193909227848053,
-          -0.7817341685295105,
-          0.023031573742628098,
-          -0.4200100302696228,
-          0.9933979511260986,
-          -0.8614697456359863,
-          -0.8687127232551575,
-          0.16769032180309296,
-          0.46352097392082214,
-          -0.5226393938064575,
-          -0.24868835508823395,
-          0.16562004387378693,
-          0.3897646963596344,
-          0.7157204151153564,
-          0.3493865430355072,
-          -0.8276746273040771,
-          -0.9994074702262878,
-          0.9726558923721313,
-          -0.2598225772380829,
-          0.9036200046539307,
-          0.9771667718887329,
-          0.8610367178916931,
-          -0.05206523463129997,
-          0.20172397792339325,
-          -0.9491549134254456,
-          0.006670048926025629,
-          0.48246243596076965,
-          0.02163754589855671,
-          0.1861138790845871,
-          -0.9725919365882874,
-          -0.9926801323890686,
-          -0.9994572997093201,
-          0.34400707483291626,
-          0.6316402554512024,
-          -0.8622729182243347,
-          0.6931447386741638,
-          0.8637305498123169,
-          -0.49691101908683777,
-          0.4423399865627289,
-          0.9413233995437622,
-          0.2561284601688385,
-          0.4177584648132324,
-          -0.7151981592178345,
-          0.3847554624080658,
-          0.00911870226264,
-          0.04645007848739624,
-          0.9529821872711182,
-          0.9131877422332764,
-          0.9860866069793701,
-          -0.28687211871147156,
-          0.7533616423606873,
-          0.525320291519165,
-          -0.2505177855491638,
-          0.22584663331508636,
-          -0.31802502274513245,
-          -0.664940357208252,
-          0.3854376971721649,
-          -0.5987637042999268,
-          0.9183555841445923,
-          -0.8924358487129211,
-          -0.39667022228240967,
-          -0.8860922455787659,
-          0.642162561416626,
-          -0.12058087438344955,
-          -0.9389616847038269,
-          -0.830712616443634,
-          -0.606196939945221,
-          -0.7111347317695618,
-          -0.3265444338321686,
-          -0.56674724817276,
-          0.9875668883323669,
-          -0.10216209292411804,
-          0.5815808773040771,
-          0.9071466326713562,
-          -0.8691815733909607,
-          -0.5292973518371582,
-          -0.7014018893241882,
-          0.2636984586715698,
-          0.9412404298782349,
-          0.9982985854148865,
-          0.9909630417823792,
-          -0.3709893822669983,
-          -0.7072163224220276
-         ]
-        }
-       ],
-       "layout": {
-        "height": 500,
-        "scene": {
-         "aspectmode": "data"
-        },
-        "template": {
-         "data": {
-          "bar": [
-           {
-            "error_x": {
-             "color": "#2a3f5f"
-            },
-            "error_y": {
-             "color": "#2a3f5f"
-            },
-            "marker": {
-             "line": {
-              "color": "#E5ECF6",
-              "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "bar"
-           }
-          ],
-          "barpolar": [
-           {
-            "marker": {
-             "line": {
-              "color": "#E5ECF6",
-              "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "barpolar"
-           }
-          ],
-          "carpet": [
-           {
-            "aaxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "baxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "type": "carpet"
-           }
-          ],
-          "choropleth": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "choropleth"
-           }
-          ],
-          "contour": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "contour"
-           }
-          ],
-          "contourcarpet": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "contourcarpet"
-           }
-          ],
-          "heatmap": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "heatmap"
-           }
-          ],
-          "heatmapgl": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "heatmapgl"
-           }
-          ],
-          "histogram": [
-           {
-            "marker": {
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "histogram"
-           }
-          ],
-          "histogram2d": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "histogram2d"
-           }
-          ],
-          "histogram2dcontour": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "histogram2dcontour"
-           }
-          ],
-          "mesh3d": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "mesh3d"
-           }
-          ],
-          "parcoords": [
-           {
-            "line": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "parcoords"
-           }
-          ],
-          "pie": [
-           {
-            "automargin": true,
-            "type": "pie"
-           }
-          ],
-          "scatter": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatter"
-           }
-          ],
-          "scatter3d": [
-           {
-            "line": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatter3d"
-           }
-          ],
-          "scattercarpet": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattercarpet"
-           }
-          ],
-          "scattergeo": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattergeo"
-           }
-          ],
-          "scattergl": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattergl"
-           }
-          ],
-          "scattermapbox": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattermapbox"
-           }
-          ],
-          "scatterpolar": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterpolar"
-           }
-          ],
-          "scatterpolargl": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterpolargl"
-           }
-          ],
-          "scatterternary": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterternary"
-           }
-          ],
-          "surface": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "surface"
-           }
-          ],
-          "table": [
-           {
-            "cells": {
-             "fill": {
-              "color": "#EBF0F8"
-             },
-             "line": {
-              "color": "white"
-             }
-            },
-            "header": {
-             "fill": {
-              "color": "#C8D4E3"
-             },
-             "line": {
-              "color": "white"
-             }
-            },
-            "type": "table"
-           }
-          ]
-         },
-         "layout": {
-          "annotationdefaults": {
-           "arrowcolor": "#2a3f5f",
-           "arrowhead": 0,
-           "arrowwidth": 1
-          },
-          "autotypenumbers": "strict",
-          "coloraxis": {
-           "colorbar": {
-            "outlinewidth": 0,
-            "ticks": ""
-           }
-          },
-          "colorscale": {
-           "diverging": [
-            [
-             0,
-             "#8e0152"
-            ],
-            [
-             0.1,
-             "#c51b7d"
-            ],
-            [
-             0.2,
-             "#de77ae"
-            ],
-            [
-             0.3,
-             "#f1b6da"
-            ],
-            [
-             0.4,
-             "#fde0ef"
-            ],
-            [
-             0.5,
-             "#f7f7f7"
-            ],
-            [
-             0.6,
-             "#e6f5d0"
-            ],
-            [
-             0.7,
-             "#b8e186"
-            ],
-            [
-             0.8,
-             "#7fbc41"
-            ],
-            [
-             0.9,
-             "#4d9221"
-            ],
-            [
-             1,
-             "#276419"
-            ]
-           ],
-           "sequential": [
-            [
-             0,
-             "#0d0887"
-            ],
-            [
-             0.1111111111111111,
-             "#46039f"
-            ],
-            [
-             0.2222222222222222,
-             "#7201a8"
-            ],
-            [
-             0.3333333333333333,
-             "#9c179e"
-            ],
-            [
-             0.4444444444444444,
-             "#bd3786"
-            ],
-            [
-             0.5555555555555556,
-             "#d8576b"
-            ],
-            [
-             0.6666666666666666,
-             "#ed7953"
-            ],
-            [
-             0.7777777777777778,
-             "#fb9f3a"
-            ],
-            [
-             0.8888888888888888,
-             "#fdca26"
-            ],
-            [
-             1,
-             "#f0f921"
-            ]
-           ],
-           "sequentialminus": [
-            [
-             0,
-             "#0d0887"
-            ],
-            [
-             0.1111111111111111,
-             "#46039f"
-            ],
-            [
-             0.2222222222222222,
-             "#7201a8"
-            ],
-            [
-             0.3333333333333333,
-             "#9c179e"
-            ],
-            [
-             0.4444444444444444,
-             "#bd3786"
-            ],
-            [
-             0.5555555555555556,
-             "#d8576b"
-            ],
-            [
-             0.6666666666666666,
-             "#ed7953"
-            ],
-            [
-             0.7777777777777778,
-             "#fb9f3a"
-            ],
-            [
-             0.8888888888888888,
-             "#fdca26"
-            ],
-            [
-             1,
-             "#f0f921"
-            ]
-           ]
-          },
-          "colorway": [
-           "#636efa",
-           "#EF553B",
-           "#00cc96",
-           "#ab63fa",
-           "#FFA15A",
-           "#19d3f3",
-           "#FF6692",
-           "#B6E880",
-           "#FF97FF",
-           "#FECB52"
-          ],
-          "font": {
-           "color": "#2a3f5f"
-          },
-          "geo": {
-           "bgcolor": "white",
-           "lakecolor": "white",
-           "landcolor": "#E5ECF6",
-           "showlakes": true,
-           "showland": true,
-           "subunitcolor": "white"
-          },
-          "hoverlabel": {
-           "align": "left"
-          },
-          "hovermode": "closest",
-          "mapbox": {
-           "style": "light"
-          },
-          "paper_bgcolor": "white",
-          "plot_bgcolor": "#E5ECF6",
-          "polar": {
-           "angularaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "bgcolor": "#E5ECF6",
-           "radialaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           }
-          },
-          "scene": {
-           "xaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           },
-           "yaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           },
-           "zaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           }
-          },
-          "shapedefaults": {
-           "line": {
-            "color": "#2a3f5f"
-           }
-          },
-          "ternary": {
-           "aaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "baxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "bgcolor": "#E5ECF6",
-           "caxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           }
-          },
-          "title": {
-           "x": 0.05
-          },
-          "xaxis": {
-           "automargin": true,
-           "gridcolor": "white",
-           "linecolor": "white",
-           "ticks": "",
-           "title": {
-            "standoff": 15
-           },
-           "zerolinecolor": "white",
-           "zerolinewidth": 2
-          },
-          "yaxis": {
-           "automargin": true,
-           "gridcolor": "white",
-           "linecolor": "white",
-           "ticks": "",
-           "title": {
-            "standoff": 15
-           },
-           "zerolinecolor": "white",
-           "zerolinewidth": 2
-          }
-         }
-        },
-        "title": {
-         "text": "Raw Stochastic Results"
-        },
-        "width": 500,
-        "xaxis": {
-         "range": [
-          -5,
-          5
-         ]
-        },
-        "yaxis": {
-         "range": [
-          -1,
-          0.9999999999999999
-         ]
-        }
-       }
-      },
-      "text/html": [
-       "
                                
                        
    "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "        \n",
-       "        "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "linkText": "Export to plot.ly",
-        "plotlyServerURL": "https://plot.ly",
-        "showLink": false
-       },
-       "data": [
-        {
-         "marker": {
-          "color": [
-           0,
-           0,
-           0,
-           0,
-           472.8715639712987,
-           158.18279603910278,
-           413.2008695183515,
-           471.08703332940763,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           453.82701366175803,
-           1256.1525840853158,
-           375.4432315928526,
-           925.6164348340319,
-           0,
-           0,
-           0,
-           0,
-           0,
-           50.74081591231987,
-           0,
-           0,
-           1841.5667933352822,
-           860.6335010945013,
-           979.4138300624606,
-           1140.6431054461182,
-           921.8572350428663,
-           2217.592903702708,
-           2768.6886483765416,
-           2667.9039554576034,
-           2713.782550955598,
-           1115.9015977681968,
-           4336.758744225512,
-           2324.352879027998,
-           0,
-           0,
-           0,
-           0,
-           557.2117125901987,
-           518.6593889698437,
-           476.3719512195122,
-           347.6749239461104,
-           0,
-           0,
-           0,
-           0,
-           822.567377945517,
-           565.5519340387849,
-           907.3266628021272,
-           1735.4022049816251,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           3376.649953954773,
-           5040.957781978576,
-           734.8138471587198,
-           0,
-           0,
-           0,
-           0,
-           2962.670353545329,
-           695.9235749383158,
-           703.6281956447219,
-           530.3929094842626,
-           0,
-           0,
-           0,
-           0,
-           2509.2250922509224,
-           885.1178122329386,
-           1865.6716417910447,
-           7000.777864207134,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           4111.1659266568,
-           6678.2810685249715,
-           934.5414651984885,
-           4047.9526700918573,
-           673.4978592389474,
-           428.44901456726654,
-           716.3965254768514,
-           477.1982239926968,
-           1662.8293681248401,
-           635.9674949947002,
-           824.9223602484471,
-           821.1721646098259,
-           1603.7595106668657,
-           1410.8964619057956,
-           684.7793899911164,
-           913.3087348847404,
-           1668.4885794833438,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           336.07797008906067,
-           250.64589519145488,
-           411.7683391324041,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           393.13695206537307,
-           689.2748828232699,
-           826.65830506542,
-           465.86951216806796,
-           1855.5593534840568,
-           1060.4453870625662,
-           4486.671945104249,
-           2822.068576266403,
-           1874.2615002240966,
-           1010.5417881996278,
-           872.1265077092693,
-           0,
-           0,
-           0,
-           48.944032498837586,
-           136.75681219870765,
-           31.376486461046095,
-           113.10298026352994,
-           0,
-           0,
-           0,
-           0,
-           721.7492577465019,
-           2063.8713882250704,
-           4773.830020347473,
-           2388.6177173122855,
-           1443.6680718369234,
-           512.5879778404275,
-           2575.4884547069273,
-           497.88399302962415,
-           1046.146693014065,
-           226.2750599628909,
-           983.1767533318767,
-           7190.364911019234,
-           290.1339197092553,
-           339.1189074205383,
-           195.69471624266143,
-           222.22222222222223,
-           132.3845771967566,
-           169.68462899667904,
-           638.8959877331971,
-           419.99160016799664,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           299.4609702535436,
-           460.7941018354965,
-           655.3079947575361,
-           2160.68087797423,
-           4933.163590070019,
-           4170.676932948348,
-           9243.697478991597,
-           0,
-           0,
-           0,
-           970.6925518013813,
-           922.9098805646038,
-           613.5197441808582,
-           341.99076624931126,
-           621.7524537016477,
-           135.21736190926916,
-           160.61676839062,
-           46.68534080298786,
-           478.9272030651341,
-           742.080608506099,
-           1233.7817400302476,
-           3955.174686882004,
-           1582.1533106558027,
-           3234.065489826169,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           3247.183565275017,
-           719.7480881691408,
-           2728.1407720638385,
-           0,
-           0,
-           2121.4099216710183,
-           3831.417624521073,
-           1527.7454102902716,
-           2073.12476441764,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           770.7270525195435,
-           3446.669771774569,
-           1569.9535052231147,
-           1624.2555495397944,
-           0,
-           421.5962688730205,
-           409.8102263413404,
-           56.12617163383286,
-           0,
-           128.73326467559218,
-           0,
-           0,
-           0,
-           345.1449608835711,
-           316.3493287462681,
-           457.48270143535194,
-           610.5790860595154,
-           72.1071512267229,
-           149.4880035877121,
-           152.97537096527458,
-           304.32136335970785,
-           0,
-           0,
-           0,
-           226.10047339786618,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           56.637970095151786,
-           65.75702778234424,
-           0,
-           42.66393617475148,
-           1008.3504017646133,
-           665.4381654381654,
-           1055.2824079625855,
-           807.7392692777308,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           258.38579347928214,
-           296.0251890524503,
-           431.7206767221608,
-           625.912789484665,
-           0,
-           0,
-           0,
-           143.52144210345025,
-           72.19521586369544,
-           51.09992590510744,
-           1268.4989429175475,
-           1348.4435518576963,
-           1060.497694034084,
-           1094.9704357982334,
-           262.88117770767616,
-           141.24008797239765,
-           180.10986701888152,
-           130.7462998797134,
-           428.58431832536314,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           632.5353165551743,
-           325.8602711157456,
-           3312.3550844650545,
-           0,
-           0,
-           0,
-           0,
-           818.3640901837227,
-           961.6925789389326,
-           785.8669684395826,
-           0,
-           135.40228017439813,
-           31.31998058161204,
-           1579.9509670389539,
-           5437.421108845519,
-           6688.6081324981415,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           1155.0981833455844,
-           887.5585179513062,
-           745.4156934850669,
-           2259.396046056919,
-           266.6311158512199,
-           837.3456144023446,
-           1296.9047207331835,
-           929.6080152868874,
-           425.89437819420783,
-           313.22596643261727,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           2717.284290946324,
-           2759.846571241463,
-           1830.501942901185,
-           1230.809095031418,
-           734.5225603357817,
-           1259.0321874315744,
-           298.70560902754727,
-           296.92139396780743,
-           0,
-           0,
-           0,
-           0,
-           232.35820340637127,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           262.2821828434667,
-           1900.801900801901,
-           3784.693019343986,
-           1880.9991424856848,
-           2957.9865637220496,
-           5067.5675675675675,
-           0,
-           0,
-           0,
-           0,
-           0,
-           17.903179604697794,
-           939.5632300660234,
-           3053.2324439134472,
-           352.89372857430936,
-           535.6968929580208,
-           190.51852792684087,
-           149.58024045023652,
-           302.1071977039853,
-           701.7236086136573,
-           1055.114200595829,
-           426.64542920530175,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           400.5607850991388,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           588.3506569915669,
-           283.7281883955171,
-           0,
-           2019.712392955243,
-           444.5276309016892,
-           1867.9950186799501,
-           1184.6510430079834,
-           810.4921898025345,
-           605.5169320475443,
-           1430.615164520744,
-           1163.819189050789,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           2007.0245860511789,
-           1478.2421237411845,
-           893.9805310906563,
-           1599.2212487832012,
-           1801.9032603187115,
-           933.8313767342582,
-           839.348665435622,
-           1214.4592084583512,
-           0,
-           0,
-           0,
-           0,
-           857.8926120306822,
-           741.6445369506447,
-           1358.5765623630466,
-           3014.0982012639765,
-           1143.7503574219868,
-           1395.3488372093022,
-           777.070984530866,
-           1202.9558343357965,
-           1950.4698859270643,
-           486.64760630208656,
-           1615.1827175449223,
-           2882.6751225136927,
-           129.5756397797214,
-           181.4845435663729,
-           138.78287419332455,
-           0,
-           0,
-           0,
-           0,
-           0,
-           3201.358944204887,
-           2305.2097740894424,
-           182.29324907334265,
-           282.03440819780013,
-           171.0717646052519,
-           0,
-           2402.2609514837495,
-           2251.8544683857294,
-           1737.1163867979155,
-           1088.139281828074,
-           246.8338807982228,
-           250.84031505543572,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           5748.350010645093,
-           2352.9411764705883,
-           1718.0724862963266,
-           1989.9636615331372,
-           1127.4974067559644,
-           604.2600332343018,
-           2625.4375729288213,
-           2090.0627018810565,
-           0,
-           0,
-           155.53067064825183,
-           0,
-           44.08393581378946,
-           48.07076015895398,
-           0,
-           0,
-           0,
-           0,
-           21.15014487849242,
-           24.85089463220676,
-           0,
-           0,
-           0,
-           0,
-           0,
-           1107.6650420912715,
-           0,
-           0,
-           0,
-           0,
-           660.6362435206829,
-           804.5469881394201,
-           430.4609845816702,
-           813.8719960210702,
-           716.574772587034,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           792.8956549318109,
-           3224.104578228501,
-           4803.579653879055,
-           0,
-           101.02370689655173,
-           0,
-           0,
-           0,
-           0,
-           0,
-           332.64724838354226,
-           244.91333835719666,
-           268.06058169146223,
-           0,
-           0,
-           648.5925541574783,
-           951.7011658339281,
-           289.2810253899731,
-           1036.2694300518135,
-           440.43162299053074,
-           836.0039013515395,
-           1336.8296570517764,
-           0,
-           0,
-           0,
-           0,
-           0,
-           199.61075901991117,
-           514.7740142077628,
-           740.7956144899622,
-           218.43003412969284,
-           80.37293039704228,
-           0,
-           0,
-           0,
-           0,
-           465.3454505638892,
-           1160.4293588627793,
-           451.52999201139244,
-           6638.434245164244,
-           0,
-           111.85682326621924,
-           0,
-           636.3083052066619,
-           465.33271288971616,
-           283.145749274439,
-           1106.6027296200664,
-           446.7609828741623,
-           393.2805213776055,
-           0,
-           0,
-           0,
-           0,
-           1815.5410312273057,
-           0,
-           0,
-           1469.9503590534484,
-           1156.9813305285302,
-           2289.012738853503,
-           0,
-           0,
-           0,
-           0,
-           4851.598173515981,
-           4198.788546255507,
-           3423.1545685947513,
-           0,
-           413.13778145011366,
-           4808.1841432225065,
-           4045.0736781277087,
-           3361.6904500548844,
-           3622.8133733567956,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           119.52857928330664,
-           105.54980895484579,
-           315.5711838427554,
-           237.68366464995677,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           1610.3059581320451,
-           1089.940255126756,
-           1834.4883815735834,
-           0,
-           0,
-           0,
-           0,
-           0,
-           60.66672733339399,
-           26.32895395065954,
-           83.22929671244279,
-           218.7067142961289,
-           96.95402763189787,
-           0,
-           0,
-           1816.7944478761672,
-           0,
-           0,
-           0,
-           2064.867042707494,
-           4733.52033660589,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           3345.0318052204434,
-           4237.28813559322,
-           2872.6460261729976,
-           718.311415626036,
-           118.7507421921387,
-           1534.8184529029993,
-           0,
-           0,
-           2025.5362245451586,
-           1265.6447756996201,
-           0,
-           119.5886151638364,
-           90.21064184871675,
-           0,
-           0,
-           299.7601918465228,
-           0,
-           0,
-           0,
-           0,
-           0,
-           163.71971185330713,
-           426.884219513352,
-           0,
-           0,
-           0,
-           920.8930416423342,
-           616.2728466940205,
-           615.2244386076998,
-           2315.2741946153337,
-           599.5415270675365,
-           204.6989787795392,
-           847.3309076409311,
-           461.68051708217916,
-           744.5752375549567,
-           0,
-           0,
-           0,
-           0,
-           0,
-           1294.618087664139,
-           891.5967010922059,
-           7099.507614794458,
-           0,
-           683.6671908115129,
-           1358.6246538119872,
-           2272.8668837152163,
-           0,
-           663.1976328946025,
-           0,
-           1653.7672818680956,
-           3468.208092485549,
-           580.3391199031086,
-           1210.4778966736067,
-           266.859822347604,
-           0,
-           7182.32044198895,
-           4994.613651943982,
-           7202.739402526862,
-           0,
-           0,
-           0,
-           0,
-           0,
-           922.3876663592041,
-           0,
-           0,
-           906.2216805724821,
-           0,
-           0,
-           0,
-           0,
-           0,
-           330.9431880860452,
-           30.384054448225573,
-           723.8508867173363,
-           1846.7995802728228,
-           13513.513513513513,
-           3273.980470993682,
-           0,
-           282.60562385191463,
-           170.77231780728346,
-           343.878954607978,
-           0,
-           50.69194504993156,
-           0,
-           0,
-           978.4097580066532,
-           0,
-           150.31189718666232,
-           239.48271733056598,
-           0,
-           0,
-           852.6691127073536,
-           473.7412019491067,
-           1738.7104564114948,
-           2886.977886977887,
-           0,
-           0,
-           0,
-           0,
-           868.7378480122451,
-           427.72470823064543,
-           0,
-           703.6227060948939,
-           2330.445174783388,
-           719.2174913693901,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           4927.65778989306,
-           5041.33897963299,
-           1892.9236205319114,
-           0,
-           0,
-           0,
-           733.5615524829948,
-           0,
-           0,
-           0,
-           0,
-           3056.519711961871,
-           0,
-           0,
-           0,
-           0,
-           1331.4897321657193,
-           1983.0777366472764,
-           896.2294347352922,
-           622.8282960729038,
-           0,
-           0,
-           1500.7503751875938,
-           2432.1238894128155,
-           0,
-           0,
-           488.20179007323026,
-           0,
-           1833.1374853113984,
-           1673.2901066722445,
-           0,
-           0,
-           0,
-           0,
-           1163.8292689528243,
-           6983.615363953801,
-           3943.5765205521006,
-           0,
-           1648.1547832318165,
-           0,
-           0,
-           0,
-           0,
-           1452.3062623446033,
-           2581.4491721559552,
-           4482.120237747247,
-           6346.205779098028,
-           762.3500711526733,
-           0,
-           0,
-           1546.5143944801332,
-           816.5169718884871,
-           317.1917953055614,
-           3405.436085009775,
-           0,
-           0,
-           641.1521010061157,
-           497.47708052021886,
-           1449.2753623188405,
-           2713.577243379807,
-           2493.7655860349128,
-           4417.577307602884,
-           486.1054848902212,
-           387.5468285751195,
-           0,
-           0,
-           1444.5996051427746,
-           3037.884203002144,
-           0,
-           0,
-           904.1591320072333,
-           603.2121044562293,
-           5928.295850192905,
-           3281.5576460293155,
-           338.8681802778719,
-           718.4276697285369,
-           3604.1682989892656,
-           0,
-           825.9457078354716,
-           618.7007284702125,
-           601.7623038899634,
-           3242.0500793267574,
-           1289.3867354339593,
-           664.8936170212767,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           215.2620815843289,
-           543.5274934323761,
-           102.10332856851133,
-           0,
-           0,
-           2523.659305993691,
-           5553.2417048452035,
-           2212.231499322058,
-           0,
-           869.376222560313,
-           46.74644727000748,
-           66.73785371062466,
-           0,
-           0,
-           0,
-           1846.0940536338903,
-           716.8116219057631,
-           1997.4432726110579,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           1885.6065367693272,
-           574.4296733957,
-           0,
-           2077.951252386836,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           396.4657906660625,
-           334.4854498829301,
-           3628.064837029668,
-           0,
-           425.0386398763524,
-           151.56873642196734,
-           0,
-           7294.429708222812,
-           3511.3976513930465,
-           4962.779156327543,
-           0,
-           686.639442015106,
-           4131.093362709998,
-           0,
-           0,
-           0,
-           0,
-           0,
-           285.66531451751126,
-           1566.8250900924427,
-           0,
-           0,
-           3018.446059250978,
-           5281.090289608177,
-           409.3327875562832,
-           468.11000585137504,
-           988.888021443256,
-           3195.110092380357,
-           0,
-           0,
-           3206.337231233497,
-           3571.241006249672,
-           3326.7130089374377,
-           0,
-           0,
-           0,
-           5264.591086502677,
-           4085.3381752156147,
-           3115.0538362565176,
-           0,
-           0,
-           0,
-           912.4642618164122,
-           0,
-           1630.672552996858,
-           1144.2417715554957,
-           0,
-           947.5251545368408,
-           265.26958021088933,
-           0,
-           0,
-           4495.99856128046,
-           0,
-           0,
-           500.12503125781444,
-           456.04434154213146,
-           6297.831632653061,
-           0,
-           0,
-           0,
-           0,
-           3172.153635116598,
-           0,
-           0,
-           2859.3346816374924,
-           0,
-           0,
-           1212.690216328287,
-           0,
-           0,
-           0,
-           3780.5141499243896,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           1403.5744362309347,
-           1281.69406519922,
-           10904.134484325306,
-           0,
-           0,
-           2409.9703917923293,
-           1063.9078435688605,
-           53.888020692999945,
-           38.96660561898453,
-           999.3337774816789,
-           134.86176668914362,
-           386.99690402476784,
-           0,
-           845.0853007975493,
-           8059.100067159166,
-           7178.106774338268,
-           0,
-           163.79122079056563,
-           376.87089479918166,
-           9867.09625453081,
-           0,
-           0,
-           1948.5264268896647,
-           699.471898716469,
-           1340.3192396734494,
-           0,
-           0,
-           0,
-           6658.676255160474,
-           0,
-           0,
-           0,
-           1448.1560146746476,
-           716.4790174002047,
-           3290.179529361276,
-           0,
-           0,
-           0,
-           0,
-           0,
-           446.09665427509293,
-           1096.3819395993223,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           428.2043962318013,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           1142.5462459194778,
-           0,
-           1374.098248024734,
-           1061.8529333687284,
-           0,
-           0,
-           0,
-           87.30574471800244,
-           1766.6358206444015,
-           584.6671051669955,
-           1911.360649862621,
-           0,
-           2234.409912654885
-          ],
-          "colorbar": {
-           "thickness": 20,
-           "title": {
-            "text": "A"
-           }
-          },
-          "colorscale": [
-           [
-            0,
-            "#0508b8"
-           ],
-           [
-            0.08333333333333333,
-            "#1910d8"
-           ],
-           [
-            0.16666666666666666,
-            "#3c19f0"
-           ],
-           [
-            0.25,
-            "#6b1cfb"
-           ],
-           [
-            0.3333333333333333,
-            "#981cfd"
-           ],
-           [
-            0.4166666666666667,
-            "#bf1cfd"
-           ],
-           [
-            0.5,
-            "#dd2bfd"
-           ],
-           [
-            0.5833333333333334,
-            "#f246fe"
-           ],
-           [
-            0.6666666666666666,
-            "#fc67fd"
-           ],
-           [
-            0.75,
-            "#fe88fc"
-           ],
-           [
-            0.8333333333333334,
-            "#fea5fd"
-           ],
-           [
-            0.9166666666666666,
-            "#febefe"
-           ],
-           [
-            1,
-            "#fec3fe"
-           ]
-          ],
-          "size": 5
-         },
-         "mode": "markers",
-         "name": "A",
-         "type": "scatter3d",
-         "x": [
-          -2.101682662963867,
-          -1.887513518333435,
-          -1.7570427656173706,
-          -1.8541388511657715,
-          1.8749754428863525,
-          1.80832040309906,
-          2.1825294494628906,
-          2.062222480773926,
-          -2.38004469871521,
-          -2.3056769371032715,
-          -2.2629430294036865,
-          -2.0936312675476074,
-          -1.9997928142547607,
-          -1.7547287940979004,
-          -1.6898266077041626,
-          -1.6704288721084595,
-          3.5905017852783203,
-          3.2578799724578857,
-          3.160881519317627,
-          3.4964303970336914,
-          -0.6913178563117981,
-          -1.0443613529205322,
-          -0.8108569979667664,
-          -0.5850074887275696,
-          -0.293684720993042,
-          0.0675533190369606,
-          -0.271133154630661,
-          0.018742907792329788,
-          4.4305853843688965,
-          4.508673667907715,
-          4.325611114501953,
-          4.611989498138428,
-          3.4338648319244385,
-          3.488844871520996,
-          3.289395570755005,
-          3.6204428672790527,
-          3.71138858795166,
-          3.857684850692749,
-          3.974630117416382,
-          4.003854274749756,
-          -3.9132473468780518,
-          -4.0064496994018555,
-          -3.8273096084594727,
-          -3.709832191467285,
-          2.3001842498779297,
-          2.2914557456970215,
-          2.0052285194396973,
-          2.2628118991851807,
-          -1.980513334274292,
-          -2.0251479148864746,
-          -1.7515032291412354,
-          -2.1317431926727295,
-          3.794757843017578,
-          3.3874454498291016,
-          3.7147281169891357,
-          3.586693048477173,
-          -2.8868887424468994,
-          -3.001088857650757,
-          -2.9482247829437256,
-          -2.6325371265411377,
-          -4.134808540344238,
-          -3.772261619567871,
-          -4.165527820587158,
-          -3.994203805923462,
-          -4.163450241088867,
-          3.875136137008667,
-          3.7112133502960205,
-          3.765407085418701,
-          -2.4520857334136963,
-          -2.657001495361328,
-          -2.6662352085113525,
-          -2.8774945735931396,
-          3.942436933517456,
-          3.8352348804473877,
-          3.6082088947296143,
-          4.133811950683594,
-          -3.171978712081909,
-          -3.221795082092285,
-          -3.0311388969421387,
-          -2.9480156898498535,
-          4.4702277183532715,
-          4.6418352127075195,
-          4.766424655914307,
-          4.669127941131592,
-          -3.4734950065612793,
-          -3.1584713459014893,
-          -3.2440361976623535,
-          -3.3585245609283447,
-          -2.429314613342285,
-          -2.2996301651000977,
-          -2.1834332942962646,
-          -1.2482850551605225,
-          -0.8828672766685486,
-          -0.8636268973350525,
-          4.625131607055664,
-          5,
-          4.731442928314209,
-          4.639413356781006,
-          2.726271152496338,
-          2.482100486755371,
-          2.630417823791504,
-          2.613208293914795,
-          2.359410285949707,
-          2.4850215911865234,
-          2.0713677406311035,
-          2.9034955501556396,
-          3.2096197605133057,
-          3.0044784545898438,
-          3.031195640563965,
-          2.8652327060699463,
-          3.303494453430176,
-          -0.9179192781448364,
-          -1.1669803857803345,
-          -1.2644528150558472,
-          -1.0285327434539795,
-          -0.8682996034622192,
-          -1.0111645460128784,
-          -1.1425732374191284,
-          -0.9068978428840637,
-          1.6444306373596191,
-          1.5535091161727905,
-          1.877994418144226,
-          -4.233823299407959,
-          -4.286869049072266,
-          -4.4695281982421875,
-          -4.121842384338379,
-          -1.4972978830337524,
-          -0.9989351034164429,
-          -1.422027349472046,
-          -1.2346546649932861,
-          -2.2228097915649414,
-          -2.000976085662842,
-          -2.127882480621338,
-          -4.581174373626709,
-          -4.083948135375977,
-          2.5844061374664307,
-          2.6696746349334717,
-          2.439190149307251,
-          2.836972236633301,
-          3.768427848815918,
-          3.901214361190796,
-          4.03761625289917,
-          3.712953805923462,
-          3.7559714317321777,
-          3.856983184814453,
-          4.166917324066162,
-          -2.2912299633026123,
-          -2.089019775390625,
-          -1.982771635055542,
-          0.2804890275001526,
-          0.14649292826652527,
-          -0.02719704993069172,
-          0.35809698700904846,
-          -0.09706947952508926,
-          -0.06142881140112877,
-          -0.6113005876541138,
-          -0.263994425535202,
-          4.316342830657959,
-          4.358631610870361,
-          4.577394962310791,
-          4.1251115798950195,
-          2.637986421585083,
-          2.9547457695007324,
-          2.78865909576416,
-          1.622883915901184,
-          1.6951839923858643,
-          1.6690202951431274,
-          1.4459738731384277,
-          5,
-          1.4305493831634521,
-          1.2514207363128662,
-          1.230926275253296,
-          1.0252352952957153,
-          1.0430431365966797,
-          1.0417221784591675,
-          1.277311086654663,
-          0.8228275179862976,
-          -2.6111531257629395,
-          -0.8876737952232361,
-          -0.6530675888061523,
-          -0.8721553087234497,
-          -1.1404987573623657,
-          -3.7799670696258545,
-          -3.7419769763946533,
-          -3.7747626304626465,
-          -3.765298843383789,
-          -1.3552204370498657,
-          -1.448533058166504,
-          1.976080060005188,
-          2.3143045902252197,
-          2.006865978240967,
-          4.718459129333496,
-          5,
-          5,
-          5,
-          -0.21346406638622284,
-          -0.3900603652000427,
-          -0.7078602910041809,
-          2.546725273132324,
-          2.2419445514678955,
-          2.62286114692688,
-          2.31475830078125,
-          2.815099000930786,
-          0.17036111652851105,
-          0.35399267077445984,
-          0.22068481147289276,
-          0.5616357326507568,
-          2.168175220489502,
-          2.396758794784546,
-          2.032904624938965,
-          1.9458956718444824,
-          1.672920823097229,
-          -1.9237370491027832,
-          -1.7913600206375122,
-          -2.1189286708831787,
-          -4.244471549987793,
-          -4.725438117980957,
-          -4.62848424911499,
-          -4.6635870933532715,
-          -4.4014410972595215,
-          -0.39015352725982666,
-          -3.62326979637146,
-          -3.6562275886535645,
-          -3.3212900161743164,
-          -2.650617837905884,
-          -2.9336674213409424,
-          -2.5238282680511475,
-          -2.854623556137085,
-          3.359579563140869,
-          3.281346321105957,
-          3.4625306129455566,
-          -1.6233601570129395,
-          -1.4790972471237183,
-          3.500380516052246,
-          4.63165283203125,
-          4.554935932159424,
-          4.720632076263428,
-          -0.6211792826652527,
-          -0.9868704080581665,
-          -0.2744942903518677,
-          -0.23266896605491638,
-          -0.4965898394584656,
-          -0.32649561762809753,
-          -1.423138976097107,
-          -1.7905021905899048,
-          -1.4218405485153198,
-          -3.732257604598999,
-          -3.5719547271728516,
-          -3.941251754760742,
-          -3.9911673069000244,
-          2.76228666305542,
-          3.034092664718628,
-          2.5956602096557617,
-          3.0007383823394775,
-          -2.4493157863616943,
-          1.5511066913604736,
-          1.313583254814148,
-          0.09208802133798599,
-          0.2716134786605835,
-          0.33897581696510315,
-          -2.9448187351226807,
-          -3.1763267517089844,
-          -2.965965747833252,
-          2.055418014526367,
-          1.7646766901016235,
-          2.0915160179138184,
-          1.9841140508651733,
-          0.7309734225273132,
-          0.8535610437393188,
-          1.1015901565551758,
-          1.1043431758880615,
-          -3.231236696243286,
-          -3.466428518295288,
-          -3.2163987159729004,
-          1.5548237562179565,
-          -2.620222806930542,
-          -2.8454513549804688,
-          -2.381518602371216,
-          -1.7730915546417236,
-          -2.034778118133545,
-          -1.792545199394226,
-          0.23506808280944824,
-          0.15298357605934143,
-          -0.12086783349514008,
-          -0.0009967255173251033,
-          3.0469939708709717,
-          3.3803346157073975,
-          3.5396389961242676,
-          3.4276304244995117,
-          -3.4141626358032227,
-          -3.28906512260437,
-          -3.1413207054138184,
-          -2.9626805782318115,
-          -3.5331058502197266,
-          -2.7990610599517822,
-          -2.5825302600860596,
-          1.0379852056503296,
-          1.3705062866210938,
-          1.090142846107483,
-          1.1630381345748901,
-          -0.7285075783729553,
-          -0.5913762450218201,
-          -0.41392114758491516,
-          0.37851566076278687,
-          0.2083987444639206,
-          0.536102294921875,
-          4.585145950317383,
-          4.314233303070068,
-          4.690446853637695,
-          4.508464336395264,
-          0.5570757389068604,
-          0.7471429109573364,
-          0.8703640103340149,
-          0.735404372215271,
-          1.950286626815796,
-          -2.459625482559204,
-          -2.3318281173706055,
-          -4.318643569946289,
-          -2.7759718894958496,
-          -2.491568088531494,
-          -2.487426280975342,
-          3.034865140914917,
-          1.392642855644226,
-          3.841580390930176,
-          -1.7278932332992554,
-          -1.9114822149276733,
-          -1.5143166780471802,
-          -1.7121433019638062,
-          4.3564581871032715,
-          4.085196018218994,
-          4.489546298980713,
-          0.03738686069846153,
-          0.4072064459323883,
-          0.3515777885913849,
-          4.740171909332275,
-          5,
-          5,
-          -3.7102108001708984,
-          -3.5805227756500244,
-          -3.250467300415039,
-          -3.6381490230560303,
-          -5,
-          -4.672852039337158,
-          -5,
-          -5,
-          3.9007976055145264,
-          4.133395671844482,
-          4.175212860107422,
-          4.236222267150879,
-          1.3414992094039917,
-          1.545016884803772,
-          1.7293202877044678,
-          1.7089415788650513,
-          1.5792618989944458,
-          1.938088297843933,
-          -4.447057247161865,
-          -4.589023590087891,
-          -4.721797943115234,
-          -5,
-          -4.662319183349609,
-          -4.697544574737549,
-          -4.536230564117432,
-          5,
-          5,
-          5,
-          2.2066378593444824,
-          1.9319493770599365,
-          2.258507013320923,
-          2.2539353370666504,
-          2.732060194015503,
-          -2.9786436557769775,
-          -2.8140065670013428,
-          -2.7915046215057373,
-          -2.627666711807251,
-          0.9115676283836365,
-          -0.532065212726593,
-          -0.5675407648086548,
-          -0.5571060180664062,
-          -2.564318895339966,
-          -4.4288010597229,
-          -4.226881980895996,
-          -4.208695411682129,
-          -4.0041913986206055,
-          -4.3078436851501465,
-          -4.320655345916748,
-          2.809098720550537,
-          2.785369634628296,
-          5,
-          4.710524559020996,
-          5,
-          5,
-          -4.560494422912598,
-          -4.414031982421875,
-          -4.710155963897705,
-          0.027450760826468468,
-          -0.09511373937129974,
-          0.3111163377761841,
-          4.47791862487793,
-          4.311753749847412,
-          2.278442859649658,
-          2.3220880031585693,
-          1.0773473978042603,
-          0.6730288863182068,
-          1.7689932584762573,
-          1.6555397510528564,
-          1.9800528287887573,
-          2.0714244842529297,
-          -0.6446894407272339,
-          -0.43192827701568604,
-          -3.7548670768737793,
-          -3.300417423248291,
-          -1.1125221252441406,
-          -0.6115882396697998,
-          -2.978154420852661,
-          -3.3732173442840576,
-          -3.242103338241577,
-          1.2596628665924072,
-          -3.6130688190460205,
-          -3.133923292160034,
-          -3.3986732959747314,
-          -3.5859854221343994,
-          -3.520331621170044,
-          -3.851719617843628,
-          -3.865055561065674,
-          0.5590431690216064,
-          0.6265019774436951,
-          -0.03324676677584648,
-          2.4285573959350586,
-          2.5746889114379883,
-          2.7181601524353027,
-          2.378453016281128,
-          3.447817087173462,
-          2.445730209350586,
-          2.310244083404541,
-          2.6667962074279785,
-          -4.695241928100586,
-          -5,
-          -4.548861980438232,
-          -0.33884161710739136,
-          -0.5452479720115662,
-          -0.44265344738960266,
-          -1.2199991941452026,
-          -1.154729962348938,
-          -0.9447287917137146,
-          -0.8053910136222839,
-          3.9948537349700928,
-          3.997985601425171,
-          4.207438945770264,
-          2.2636070251464844,
-          2.816199541091919,
-          3.2298614978790283,
-          3.0754427909851074,
-          3.1898257732391357,
-          -2.0362820625305176,
-          -1.695935845375061,
-          -2.8119935989379883,
-          -2.5727436542510986,
-          3.0221409797668457,
-          3.255614995956421,
-          3.368884563446045,
-          3.2635715007781982,
-          4.541206359863281,
-          3.801682472229004,
-          4.062766075134277,
-          3.6565608978271484,
-          2.893397092819214,
-          3.020784378051758,
-          2.637270450592041,
-          2.978060007095337,
-          0.706810474395752,
-          0.7772684097290039,
-          0.8003952503204346,
-          -0.22241777181625366,
-          -0.1280590295791626,
-          -2.9058010578155518,
-          -0.3929927349090576,
-          -1.6517680883407593,
-          4.374144554138184,
-          4.208742141723633,
-          1.0169200897216797,
-          0.6947392225265503,
-          0.6771532297134399,
-          -4.339812278747559,
-          3.8944802284240723,
-          3.9562127590179443,
-          2.033257246017456,
-          1.9155778884887695,
-          1.3438067436218262,
-          1.0825568437576294,
-          -1.7339566946029663,
-          -1.3611284494400024,
-          -1.3337901830673218,
-          -1.2508692741394043,
-          -2.2653911113739014,
-          -2.2419567108154297,
-          -3.1367833614349365,
-          -1.81843900680542,
-          -2.1527793407440186,
-          -1.6042685508728027,
-          -1.647326946258545,
-          4.628890037536621,
-          4.72548246383667,
-          2.286425828933716,
-          1.9910200834274292,
-          2.3555381298065186,
-          2.0931544303894043,
-          3.7614736557006836,
-          3.912747859954834,
-          -4.636204242706299,
-          -4.488008499145508,
-          0.4070380926132202,
-          -0.13350971043109894,
-          0.19662299752235413,
-          0.13111887872219086,
-          -0.7308740019798279,
-          -0.5450983643531799,
-          -0.6622709035873413,
-          0.003929497674107552,
-          0.24031925201416016,
-          -0.22965681552886963,
-          -0.0660269558429718,
-          -0.17119362950325012,
-          -0.18464888632297516,
-          -0.0036181053146719933,
-          -0.7095974087715149,
-          1.9864104986190796,
-          -2.5475826263427734,
-          -2.7074756622314453,
-          -2.891202926635742,
-          -2.509110927581787,
-          2.9578778743743896,
-          3.029849052429199,
-          2.3168818950653076,
-          3.536309242248535,
-          3.2530806064605713,
-          -3.741461992263794,
-          -2.821955680847168,
-          -3.082059383392334,
-          -2.9099485874176025,
-          -2.7286927700042725,
-          -0.6247063279151917,
-          -0.3622240722179413,
-          -0.4216044247150421,
-          1.6000310182571411,
-          5,
-          5,
-          -1.6445059776306152,
-          0.2146318256855011,
-          -4.1633453369140625,
-          -4.1257829666137695,
-          -3.817925214767456,
-          -3.784167766571045,
-          -1.2936067581176758,
-          1.8930131196975708,
-          1.5624295473098755,
-          1.5452696084976196,
-          -1.8079805374145508,
-          -1.6008325815200806,
-          1.2422401905059814,
-          1.4802297353744507,
-          1.4433354139328003,
-          1.5805444717407227,
-          0.7913298010826111,
-          2.578340768814087,
-          2.6075079441070557,
-          -0.813774585723877,
-          -5,
-          -5,
-          -4.7412261962890625,
-          -4.72172212600708,
-          1.3737642765045166,
-          1.2108287811279297,
-          1.3925875425338745,
-          1.4203695058822632,
-          0.5987880825996399,
-          -4.71983003616333,
-          -5,
-          -5,
-          -4.692821025848389,
-          1.909011960029602,
-          1.7303102016448975,
-          1.6846473217010498,
-          5,
-          -3.5527470111846924,
-          0.37845441699028015,
-          -1.9841102361679077,
-          3.145871162414551,
-          1.289706826210022,
-          0.7273845076560974,
-          0.720970630645752,
-          1.0219862461090088,
-          0.8861194849014282,
-          -4.596095085144043,
-          -4.253779888153076,
-          -4.743481159210205,
-          -1.5359901189804077,
-          3.121032953262329,
-          -4.488008499145508,
-          -1.1460216045379639,
-          4.6934332847595215,
-          4.375402450561523,
-          4.680056095123291,
-          -4.230134010314941,
-          -3.7863848209381104,
-          -4.4221673011779785,
-          -4.591073989868164,
-          4.1638264656066895,
-          4.340243339538574,
-          4.488320350646973,
-          -2.5075998306274414,
-          1.917682409286499,
-          4.661116600036621,
-          4.636397361755371,
-          4.488320350646973,
-          5,
-          -3.489121437072754,
-          -1.138638973236084,
-          -0.7274905443191528,
-          -4.574654579162598,
-          -4.382515907287598,
-          -3.1639509201049805,
-          -2.7766637802124023,
-          0.7139411568641663,
-          0.4993683397769928,
-          0.7703021764755249,
-          0.901824951171875,
-          -1.5355284214019775,
-          -2.1874425411224365,
-          -2.3504247665405273,
-          -4.327395915985107,
-          -2.3662376403808594,
-          -3.6765761375427246,
-          1.808962345123291,
-          4.351280689239502,
-          4.706614017486572,
-          -3.448230266571045,
-          -3.3269059658050537,
-          -1.3753197193145752,
-          -1.1046783924102783,
-          -1.4444420337677002,
-          0.29257264733314514,
-          0.009619895368814468,
-          0.32545214891433716,
-          0.23237977921962738,
-          1.4445356130599976,
-          -1.2714718580245972,
-          -1.4109042882919312,
-          4.735227108001709,
-          -3.157381772994995,
-          -5,
-          -4.624974727630615,
-          4.58084774017334,
-          4.646906852722168,
-          -4.253415107727051,
-          -3.6714272499084473,
-          -4.048503875732422,
-          -3.91367769241333,
-          -0.662963330745697,
-          -0.45707225799560547,
-          -0.3023490607738495,
-          -0.10872425138950348,
-          -0.40253975987434387,
-          -0.7720760107040405,
-          -2.228641986846924,
-          -2.0955162048339844,
-          -1.9311330318450928,
-          4.527668476104736,
-          4.4020185470581055,
-          4.253148078918457,
-          4.159819602966309,
-          0.06420236825942993,
-          4.135446548461914,
-          -0.9258043766021729,
-          -0.8058002591133118,
-          4.537054061889648,
-          4.744240760803223,
-          -0.8789688944816589,
-          0.3651331961154938,
-          0.7293714880943298,
-          -0.06956324726343155,
-          -0.08140537887811661,
-          1.721306324005127,
-          -3.6552634239196777,
-          -3.3976213932037354,
-          -3.114668607711792,
-          -2.9648706912994385,
-          -2.7460291385650635,
-          0.9609786868095398,
-          1.0764851570129395,
-          -2.625852346420288,
-          -2.673210859298706,
-          -2.3928139209747314,
-          3.227536678314209,
-          3.531540632247925,
-          3.7912299633026123,
-          3.446416139602661,
-          1.760624647140503,
-          1.2702659368515015,
-          1.4204895496368408,
-          1.1356712579727173,
-          1.1212012767791748,
-          -0.7966426014900208,
-          -4.596960067749023,
-          -2.358410358428955,
-          -2.481785297393799,
-          -2.317129611968994,
-          2.1517908573150635,
-          1.9424786567687988,
-          4.65165901184082,
-          -4.577237129211426,
-          3.162456750869751,
-          3.290433168411255,
-          3.418100118637085,
-          -3.9114646911621094,
-          0.9896045327186584,
-          -0.19112993776798248,
-          2.6939661502838135,
-          3.0167806148529053,
-          2.893794298171997,
-          3.0206243991851807,
-          1.2407162189483643,
-          -0.46050986647605896,
-          5,
-          4.663840293884277,
-          5,
-          -3.103480339050293,
-          -2.277939558029175,
-          -2.125932216644287,
-          -1.824216604232788,
-          -2.0925588607788086,
-          2.68068528175354,
-          -4.7859697341918945,
-          -4.575015544891357,
-          2.8520922660827637,
-          -3.2595419883728027,
-          -4.203586101531982,
-          -4.2565202713012695,
-          -3.767660140991211,
-          -3.32572078704834,
-          0.5733931660652161,
-          0.5859797596931458,
-          0.6658535599708557,
-          4.556863307952881,
-          5,
-          5,
-          -2.477255344390869,
-          0.25908347964286804,
-          0.25868678092956543,
-          0.49322885274887085,
-          -5,
-          -0.1877877414226532,
-          -5,
-          -5,
-          3.983049154281616,
-          -2.6407032012939453,
-          0.5915303230285645,
-          1.0867373943328857,
-          -1.214605450630188,
-          -1.4895960092544556,
-          2.3244974613189697,
-          1.0752484798431396,
-          3.5134105682373047,
-          3.492990732192993,
-          -4.003303050994873,
-          -4.055683612823486,
-          -4.244694709777832,
-          -4.091361999511719,
-          2.220043897628784,
-          2.544774293899536,
-          -5,
-          3.5021090507507324,
-          3.226494312286377,
-          1.4538578987121582,
-          0.25620901584625244,
-          -4.075596809387207,
-          -4.281928539276123,
-          -4.1883087158203125,
-          -4.555990695953369,
-          -4.334146976470947,
-          -4.165266990661621,
-          4.628626346588135,
-          4.596282482147217,
-          4.575169086456299,
-          -4.123189449310303,
-          -3.8626294136047363,
-          -3.69762921333313,
-          3.6556200981140137,
-          -4.1212477684021,
-          -3.785296678543091,
-          -1.9285658597946167,
-          -3.4919838905334473,
-          5,
-          -1.8179099559783936,
-          -4.580845355987549,
-          -4.697874546051025,
-          -4.374136447906494,
-          2.7386975288391113,
-          3.034958839416504,
-          2.8929836750030518,
-          2.8669273853302,
-          -5,
-          -1.5589079856872559,
-          1.9696201086044312,
-          3.9466171264648438,
-          -3.894467353820801,
-          -1.4353413581848145,
-          0.6438999772071838,
-          -3.559412717819214,
-          2.898449182510376,
-          4.226627349853516,
-          -5,
-          -5,
-          -4.580845355987549,
-          -2.0328192710876465,
-          4.1754069328308105,
-          4.199225902557373,
-          4.34015417098999,
-          -2.9041290283203125,
-          2.497323513031006,
-          -1.7650561332702637,
-          -0.5644856095314026,
-          -5,
-          -5,
-          3.0372588634490967,
-          3.8829185962677,
-          3.6070923805236816,
-          3.8541207313537598,
-          3.8192059993743896,
-          -2.6382784843444824,
-          -4.700376033782959,
-          2.501884937286377,
-          4.065597057342529,
-          1.0171412229537964,
-          5,
-          -4.651655673980713,
-          -0.8031032681465149,
-          1.2622673511505127,
-          1.2936519384384155,
-          1.369748592376709,
-          4.189074516296387,
-          4.076688766479492,
-          5,
-          0.7270625233650208,
-          0.995764970779419,
-          -0.8975422382354736,
-          -1.5903971195220947,
-          3.329392194747925,
-          3.4523019790649414,
-          -1.0810967683792114,
-          -0.5812257528305054,
-          2.644548177719116,
-          2.6585214138031006,
-          5,
-          3.7732388973236084,
-          0.9950934052467346,
-          0.8841180801391602,
-          3.8183670043945312,
-          -0.6460126042366028,
-          2.1103804111480713,
-          2.3608930110931396,
-          1.3835891485214233,
-          3.4795989990234375,
-          1.769286036491394,
-          1.7716087102890015,
-          -5,
-          -5,
-          -5,
-          -1.426405906677246,
-          -2.7312746047973633,
-          -5,
-          0.47139957547187805,
-          3.8471028804779053,
-          0.7896639108657837,
-          -1.2268297672271729,
-          -4.720064640045166,
-          2.7558088302612305,
-          3.023494243621826,
-          3.7829294204711914,
-          -1.891106128692627,
-          3.048088550567627,
-          0.008336871862411499,
-          0.07599930465221405,
-          -1.3721232414245605,
-          -1.032981276512146,
-          -0.6021665930747986,
-          1.735460877418518,
-          1.5383501052856445,
-          2.478435516357422,
-          -3.304556131362915,
-          -2.378432035446167,
-          -0.4857358932495117,
-          -2.097623586654663,
-          -3.2147445678710938,
-          -1.8128300905227661,
-          3.589271306991577,
-          3.373690366744995,
-          -3.5193681716918945,
-          3.53788161277771,
-          -1.1633410453796387,
-          -3.841488838195801,
-          -3.562544822692871,
-          -5,
-          -4.628747463226318,
-          -0.3776344060897827,
-          -1.9576623439788818,
-          -2.3299407958984375,
-          -2.3134829998016357,
-          0.5879091620445251,
-          0.39716675877571106,
-          5,
-          -4.527527809143066,
-          2.8390586376190186,
-          0.3319953382015228,
-          -0.2031165361404419,
-          5,
-          5,
-          5,
-          -5,
-          2.2759742736816406,
-          4.30157470703125,
-          -0.7995855808258057,
-          -0.05464247241616249,
-          -1.3260889053344727,
-          -1.0919172763824463,
-          -1.5666868686676025,
-          0.6270329356193542,
-          2.468057155609131,
-          -2.5841712951660156,
-          -4.339723110198975,
-          5,
-          5,
-          0.5067524909973145,
-          0.7723978161811829,
-          3.510948657989502,
-          4.363494873046875,
-          -3.0252578258514404,
-          -1.2719022035598755,
-          4.58084774017334,
-          5,
-          4.526966571807861,
-          -5,
-          -5,
-          -5,
-          5,
-          4.227243900299072,
-          4.085610389709473,
-          -4.363025188446045,
-          -1.356877088546753,
-          -1.0370725393295288,
-          1.1098798513412476,
-          -1.7669402360916138,
-          3.0309200286865234,
-          1.8378273248672485,
-          -1.0789508819580078,
-          1.8391550779342651,
-          0.4916764497756958,
-          -3.601686716079712,
-          -0.24966329336166382,
-          4.12544059753418,
-          -5,
-          -5,
-          1.536503791809082,
-          1.7359037399291992,
-          5,
-          -3.840538263320923,
-          -5,
-          -5,
-          -5,
-          4.124938011169434,
-          -4.646697998046875,
-          -5,
-          4.167131423950195,
-          -3.3831329345703125,
-          -3.5020036697387695,
-          3.266669988632202,
-          -0.9436191916465759,
-          -1.5299025774002075,
-          -1.982384204864502,
-          3.6774818897247314,
-          -2.2120511531829834,
-          -0.3448413610458374,
-          -3.386986017227173,
-          -3.1074790954589844,
-          -0.4411892294883728,
-          -0.3736647963523865,
-          -5,
-          -5,
-          -1.2011436223983765,
-          -1.1121392250061035,
-          -2.1613833904266357,
-          -2.2924811840057373,
-          3.104656934738159,
-          2.610442638397217,
-          5,
-          -5,
-          -2.3681676387786865,
-          3.672323226928711,
-          3.7326676845550537,
-          0.1613098382949829,
-          0.2413194328546524,
-          1.3728821277618408,
-          0.4339759051799774,
-          0.35695144534111023,
-          -2.493479013442993,
-          2.1896910667419434,
-          4.700502395629883,
-          5,
-          -1.016597032546997,
-          0.6210448145866394,
-          0.6637445688247681,
-          5,
-          -1.0216628313064575,
-          -0.23358485102653503,
-          3.3018922805786133,
-          1.8105369806289673,
-          0.955568790435791,
-          -3.7231528759002686,
-          -3.9804978370666504,
-          -1.2900493144989014,
-          4.1124267578125,
-          -3.540820360183716,
-          -5,
-          -3.8975656032562256,
-          1.2156816720962524,
-          0.7590240836143494,
-          3.5594608783721924,
-          -3.283069372177124,
-          -5,
-          -3.2769768238067627,
-          0.1670776754617691,
-          -0.7176233530044556,
-          0.9799598455429077,
-          1.3872452974319458,
-          -2.0572428703308105,
-          -3.3091535568237305,
-          -1.3487980365753174,
-          -4.625357627868652,
-          -2.012728691101074,
-          -5,
-          0.8194661736488342,
-          -1.579920768737793,
-          -1.5731505155563354,
-          -4.639402389526367,
-          -1.7494895458221436,
-          -3.0217342376708984,
-          -1.5556175708770752,
-          2.022423028945923,
-          -2.8629543781280518,
-          1.2468470335006714,
-          1.9912384748458862,
-          -1.0789836645126343,
-          -0.08867280930280685,
-          -1.3601857423782349,
-          0.519882321357727,
-          2.222944498062134,
-          0.5680000185966492,
-          2.373995542526245,
-          -2.9980807304382324,
-          3.2855708599090576
-         ],
-         "y": [
-          -0.9644528031349182,
-          -0.5014916062355042,
-          -0.9228641390800476,
-          -0.9955595135688782,
-          0.2492223083972931,
-          0.057115908712148666,
-          -0.16631139814853668,
-          -0.06584170460700989,
-          0.10396039485931396,
-          -0.31133314967155457,
-          -0.041115161031484604,
-          -0.04820563644170761,
-          -0.949433445930481,
-          -0.8801339268684387,
-          -0.5981799364089966,
-          -0.9736314415931702,
-          -0.43101099133491516,
-          -0.4243756830692291,
-          -0.4731490910053253,
-          -0.6577183604240417,
-          0.2146396040916443,
-          0.5974391102790833,
-          0.2125028818845749,
-          0.43337777256965637,
-          0.4884589910507202,
-          0.6967326402664185,
-          0.6029126048088074,
-          0.23680882155895233,
-          0.6917465329170227,
-          0.4850515127182007,
-          0.18376414477825165,
-          0.48162636160850525,
-          -0.6320042610168457,
-          -0.7730603814125061,
-          -0.9154437184333801,
-          -0.9334678649902344,
-          -0.937618613243103,
-          -0.6324880123138428,
-          -0.9645949602127075,
-          -0.8584909439086914,
-          -0.021662965416908264,
-          -0.19917190074920654,
-          -0.40617337822914124,
-          0.01375947892665863,
-          0.6443992257118225,
-          0.2646108865737915,
-          0.3110242187976837,
-          0.4987179636955261,
-          0.2822154462337494,
-          0.22283178567886353,
-          0.3027957081794739,
-          0.48568424582481384,
-          -0.004136862698942423,
-          0.24444110691547394,
-          0.3975219428539276,
-          0.06679671257734299,
-          0.3392251133918762,
-          0.4178438186645508,
-          0.0005444167763926089,
-          0.26371410489082336,
-          0.6860716342926025,
-          0.5389652252197266,
-          0.2810700237751007,
-          0.29595068097114563,
-          -0.0028515858575701714,
-          -0.914943516254425,
-          -0.8317362070083618,
-          -0.5160342454910278,
-          0.1723458170890808,
-          -0.24010129272937775,
-          0.11037452518939972,
-          -0.04924260079860687,
-          0.9950059056282043,
-          0.5880264043807983,
-          0.590488612651825,
-          0.6281570792198181,
-          -0.1020033061504364,
-          0.12514355778694153,
-          0.26880502700805664,
-          -0.06841706484556198,
-          0.07446050643920898,
-          -0.19104579091072083,
-          0.17392556369304657,
-          -0.010952293872833252,
-          0.8551027774810791,
-          0.8424614071846008,
-          0.4966377019882202,
-          0.9818977117538452,
-          -0.7847625613212585,
-          -0.3964613676071167,
-          -0.7274291515350342,
-          0.9931104183197021,
-          0.990178644657135,
-          0.9477092027664185,
-          -0.7309668660163879,
-          -0.8255475759506226,
-          -0.5082603693008423,
-          -0.8930004835128784,
-          0.4194926917552948,
-          0.20234280824661255,
-          0.382354199886322,
-          0.04821555316448212,
-          -0.22185000777244568,
-          -0.2684493958950043,
-          -0.2542339563369751,
-          -0.6113150715827942,
-          -0.749304473400116,
-          0.9967495203018188,
-          0.6226924657821655,
-          0.9509856700897217,
-          0.9614278674125671,
-          -0.5285993218421936,
-          -0.26093634963035583,
-          -0.44633013010025024,
-          -0.7162333726882935,
-          0.37243372201919556,
-          0.7037805914878845,
-          0.5981281399726868,
-          0.8595001101493835,
-          -0.2422453761100769,
-          -0.2717275023460388,
-          -0.342314749956131,
-          -0.36787569522857666,
-          -0.0067490083165466785,
-          -0.12062981724739075,
-          -0.10932574421167374,
-          0.7730425596237183,
-          0.7197641730308533,
-          0.5498804450035095,
-          0.8838788866996765,
-          -0.4682152271270752,
-          -0.8429638743400574,
-          -0.7152993083000183,
-          0.16587448120117188,
-          0.17635276913642883,
-          0.4282841980457306,
-          -0.06333015114068985,
-          0.0034832851961255074,
-          0.09057462960481644,
-          -0.7059872150421143,
-          -0.3774401545524597,
-          -0.6989597082138062,
-          -0.5003755688667297,
-          0.7566817402839661,
-          0.44234010577201843,
-          0.45263102650642395,
-          0.5166338682174683,
-          0.16024252772331238,
-          0.5950716137886047,
-          -0.18073487281799316,
-          0.0018878098344430327,
-          -0.2708609104156494,
-          -0.25196877121925354,
-          -0.11142797023057938,
-          -0.43370550870895386,
-          -0.15656259655952454,
-          -0.039399806410074234,
-          0.46687936782836914,
-          0.32242169976234436,
-          0.6205798983573914,
-          0.6568413972854614,
-          0.2932124137878418,
-          0.286562442779541,
-          0.5216072797775269,
-          -0.9623097777366638,
-          -0.9981469511985779,
-          -0.6364484429359436,
-          -0.9993236660957336,
-          -0.07432012259960175,
-          0.42001017928123474,
-          0.34383609890937805,
-          -0.08206897974014282,
-          0.17495545744895935,
-          -0.6187282204627991,
-          -0.17506438493728638,
-          -0.16744637489318848,
-          -0.3097870349884033,
-          -0.4293544590473175,
-          -0.34442025423049927,
-          -0.08278083801269531,
-          0.040901072323322296,
-          -0.20948979258537292,
-          -0.8171733617782593,
-          -0.6349214315414429,
-          -0.63686603307724,
-          -0.34542766213417053,
-          0.9818851351737976,
-          0.7231388688087463,
-          -0.4980590343475342,
-          -0.5276463031768799,
-          -0.6645891070365906,
-          0.6138550639152527,
-          0.7307949662208557,
-          0.565581202507019,
-          0.8974766731262207,
-          0.2210589051246643,
-          -0.04366305470466614,
-          0.2200208306312561,
-          0.9976720213890076,
-          0.9910743236541748,
-          0.04993176832795143,
-          0.2965986132621765,
-          0.3659362196922302,
-          -0.6525683999061584,
-          -0.4112653136253357,
-          -0.9211462140083313,
-          -0.8424838185310364,
-          -0.9637735486030579,
-          -0.9835269451141357,
-          -0.9970294237136841,
-          -0.9710226655006409,
-          -0.9704429507255554,
-          -0.000344896805472672,
-          0.21921929717063904,
-          -0.13210053741931915,
-          0.1057116687297821,
-          -0.5773980617523193,
-          -0.8491992354393005,
-          -0.9644528031349182,
-          -0.9644528031349182,
-          0.18421055376529694,
-          -0.34306600689888,
-          -0.6099089980125427,
-          -0.522908627986908,
-          0.5520397424697876,
-          0.6777611374855042,
-          0.7900189757347107,
-          0.8836524486541748,
-          0.998988151550293,
-          0.6972864270210266,
-          0.9325829744338989,
-          -0.7420949339866638,
-          -0.8717162013053894,
-          0.3239639103412628,
-          0.3646659553050995,
-          0.18762114644050598,
-          0.4323038160800934,
-          0.49042609333992004,
-          0.4172574579715729,
-          -0.4056946337223053,
-          -0.7565715909004211,
-          -0.8770694732666016,
-          -0.6713137626647949,
-          0.3914759159088135,
-          0.5560338497161865,
-          0.401335746049881,
-          0.6967827081680298,
-          0.5735718011856079,
-          0.9659417867660522,
-          0.4600377678871155,
-          -0.7376769781112671,
-          -0.7612969279289246,
-          -0.8649499416351318,
-          -0.9680713415145874,
-          -0.07136695086956024,
-          0.08702337741851807,
-          -0.0012019457062706351,
-          -0.40912172198295593,
-          -0.006982382852584124,
-          -0.2469279021024704,
-          0.2634161114692688,
-          0.19823867082595825,
-          0.6264614462852478,
-          -0.0895332545042038,
-          0.15487948060035706,
-          0.010749834589660168,
-          0.21317049860954285,
-          0.3579390347003937,
-          0.6785242557525635,
-          0.4390743672847748,
-          0.2672802209854126,
-          -0.8758218884468079,
-          -0.963442862033844,
-          -0.9812936782836914,
-          0.47073882818222046,
-          0.4233376085758209,
-          0.6527111530303955,
-          0.6982703804969788,
-          0.6721965670585632,
-          0.9104544520378113,
-          0.8594658970832825,
-          0.9712696671485901,
-          0.7178391218185425,
-          0.9804772734642029,
-          0.9899379014968872,
-          -0.272844135761261,
-          -0.23376643657684326,
-          -0.262163907289505,
-          0.03704443946480751,
-          -0.4075758457183838,
-          -0.7010478377342224,
-          -0.20673303306102753,
-          -0.5571584105491638,
-          -0.8706849217414856,
-          -0.48726165294647217,
-          -0.2910931706428528,
-          -0.002765015931800008,
-          0.05970108136534691,
-          0.3084672689437866,
-          0.15337669849395752,
-          -0.6174674034118652,
-          -0.6328142881393433,
-          -0.5624826550483704,
-          0.1400715708732605,
-          0.3191937208175659,
-          0.02131892368197441,
-          -0.09887219220399857,
-          -0.13459566235542297,
-          0.031372569501399994,
-          -0.23347316682338715,
-          -0.1083475649356842,
-          0.10015857964754105,
-          -0.15261906385421753,
-          -0.3190996050834656,
-          0.5962103009223938,
-          0.944227933883667,
-          0.6263585686683655,
-          -0.03721585124731064,
-          -0.14064188301563263,
-          -0.12287423759698868,
-          0.1620333045721054,
-          0.051118478178977966,
-          0.025942236185073853,
-          0.9509856700897217,
-          0.07660112529993057,
-          -0.2148650735616684,
-          -0.2792571783065796,
-          -0.3916383981704712,
-          -0.5475131869316101,
-          -0.3573049306869507,
-          -0.5381907820701599,
-          0.5642790794372559,
-          0.39763057231903076,
-          0.4926196038722992,
-          0.6876794695854187,
-          0.9853602051734924,
-          0.9853602051734924,
-          0.2784459888935089,
-          0.33439427614212036,
-          0.3757942020893097,
-          0.5680580735206604,
-          -0.202531099319458,
-          0.04602264240384102,
-          0.1253708153963089,
-          -0.053822703659534454,
-          -0.09523261338472366,
-          -0.3647562861442566,
-          0.055967457592487335,
-          -0.18043585121631622,
-          -0.36183372139930725,
-          -0.26616132259368896,
-          0.5843426585197449,
-          0.7874525785446167,
-          0.3204408586025238,
-          0.46942922472953796,
-          -0.3549381494522095,
-          -0.15470989048480988,
-          -0.28662583231925964,
-          -0.45677778124809265,
-          -0.14482297003269196,
-          -0.3699699342250824,
-          -0.31996339559555054,
-          0,
-          0.03902474418282509,
-          -0.4207833707332611,
-          0.5997176170349121,
-          0.34521904587745667,
-          0.260562002658844,
-          0.301216721534729,
-          -0.39678168296813965,
-          -0.9933051466941833,
-          -0.48806899785995483,
-          -0.9801273941993713,
-          -0.9932265877723694,
-          -0.00268577691167593,
-          -0.4860992431640625,
-          -0.718903660774231,
-          -0.22610677778720856,
-          0.40737977623939514,
-          0.7242735624313354,
-          0.9194390773773193,
-          0.992190957069397,
-          0.5167772769927979,
-          -0.8444285988807678,
-          -0.6822850704193115,
-          0.6697694063186646,
-          0.9455884695053101,
-          -0.563209056854248,
-          -0.6827536821365356,
-          -0.6466551423072815,
-          -1,
-          0.00808846578001976,
-          -0.21341004967689514,
-          -0.08499597012996674,
-          -0.22998903691768646,
-          -0.6067743301391602,
-          -0.49108201265335083,
-          -0.5265984535217285,
-          -0.9826362729072571,
-          -0.23542766273021698,
-          -0.2631172835826874,
-          -0.38973894715309143,
-          -0.510794460773468,
-          0.614811897277832,
-          0.9284683465957642,
-          0.980880856513977,
-          0.6759928464889526,
-          0.7887943387031555,
-          0.334210067987442,
-          0.8685921430587769,
-          0.9433988928794861,
-          0.3017013370990753,
-          0.322925865650177,
-          0.0030513221863657236,
-          -0.08400421589612961,
-          0.1492752730846405,
-          0.15100379288196564,
-          0.2531687021255493,
-          0.22673995792865753,
-          0.08318476378917694,
-          -0.09412675350904465,
-          -0.10312476009130478,
-          0.00051957240793854,
-          0.1938382387161255,
-          -0.429431289434433,
-          -0.6668448448181152,
-          0.27889484167099,
-          -0.9699349999427795,
-          -0.6830593347549438,
-          -0.9178845286369324,
-          -0.8040575385093689,
-          -0.03522491827607155,
-          0.586391270160675,
-          0.9315357804298401,
-          0.7273709177970886,
-          0.23738005757331848,
-          0.16160446405410767,
-          0.196137934923172,
-          0.6648127436637878,
-          0.9904631972312927,
-          0.9321214556694031,
-          -0.9826473593711853,
-          -0.5793296098709106,
-          -0.5139965415000916,
-          -0.9829296469688416,
-          0.10490112006664276,
-          0.26333707571029663,
-          0.015549364499747753,
-          0.7950919270515442,
-          -0.22844749689102173,
-          0.08410408347845078,
-          -0.014554033055901527,
-          -0.40973183512687683,
-          -0.6088537573814392,
-          -0.7200993895530701,
-          -0.25975117087364197,
-          -0.05376914516091347,
-          0.25696367025375366,
-          -0.02727169543504715,
-          -0.9200538992881775,
-          -0.9851748943328857,
-          0.2039009928703308,
-          -0.18674251437187195,
-          -0.0373150035738945,
-          0.0003531149122864008,
-          0.7743528485298157,
-          0.49138516187667847,
-          0.8453116416931152,
-          0.8113861680030823,
-          -0.2243531048297882,
-          0.17102263867855072,
-          0.13133029639720917,
-          -0.8719936609268188,
-          -0.7000458240509033,
-          -0.5028141736984253,
-          0.5621294975280762,
-          -0.48999398946762085,
-          1,
-          0.9576523303985596,
-          -0.41538330912590027,
-          -0.5296134352684021,
-          -0.5272583365440369,
-          0.26668936014175415,
-          0.9760602116584778,
-          0.874788224697113,
-          -0.8827227354049683,
-          -0.9637153744697571,
-          -0.5040878057479858,
-          -0.27172648906707764,
-          0.274967223405838,
-          -0.01066218875348568,
-          0.29421308636665344,
-          0.1539771407842636,
-          0.15297439694404602,
-          0.35023635625839233,
-          -0.21796944737434387,
-          0.8537461161613464,
-          0.9835426211357117,
-          0.9496530294418335,
-          0.9985606074333191,
-          -0.2221001833677292,
-          0.4310095012187958,
-          0.6029019355773926,
-          0.7001603841781616,
-          0.8360967636108398,
-          0.519031286239624,
-          -0.9936496019363403,
-          -0.9828091859817505,
-          0.26668936014175415,
-          0.5236851572990417,
-          0.49962037801742554,
-          0.5692272782325745,
-          0.22008033096790314,
-          0.2918113172054291,
-          -0.005608721170574427,
-          0.03870052844285965,
-          0.26892536878585815,
-          -0.1814487725496292,
-          0.06543553620576859,
-          0.08210965245962143,
-          -0.09493392705917358,
-          0.23452402651309967,
-          0.04021294042468071,
-          -0.09652941673994064,
-          0.6716895699501038,
-          0.8282829523086548,
-          -0.5790790915489197,
-          -0.7159784436225891,
-          -0.874889612197876,
-          -0.9411375522613525,
-          -0.25209754705429077,
-          -0.6056337356567383,
-          -0.4996890425682068,
-          0.268974632024765,
-          0.4170511066913605,
-          0.2456361949443817,
-          0.17661170661449432,
-          -0.6461558938026428,
-          -0.8366621732711792,
-          -0.9373155832290649,
-          0.6573933362960815,
-          0.764940083026886,
-          0.4581672251224518,
-          0.012059792876243591,
-          -0.36481741070747375,
-          0.047285694628953934,
-          -0.19150404632091522,
-          -0.06492480635643005,
-          0.2849947214126587,
-          0.49767422676086426,
-          0.28277072310447693,
-          0.54390949010849,
-          0.1638433039188385,
-          -0.31062552332878113,
-          -0.08801092207431793,
-          -0.47230759263038635,
-          -0.2938145399093628,
-          -0.0704847201704979,
-          0.6260424852371216,
-          0.39466437697410583,
-          0.31425905227661133,
-          0.7220942974090576,
-          -0.7903173565864563,
-          0.2835279703140259,
-          0.6021785140037537,
-          0.5951641798019409,
-          0.3522506654262543,
-          0.5202761888504028,
-          0.6336329579353333,
-          0.44877156615257263,
-          0.5989428758621216,
-          0.9741127490997314,
-          0.9952908158302307,
-          0.6856418251991272,
-          -0.18962796032428741,
-          0.14198823273181915,
-          0.027870045974850655,
-          -0.2665543556213379,
-          -0.12062981724739075,
-          -0.35000452399253845,
-          -0.6031556725502014,
-          -0.7968862652778625,
-          -0.9509775042533875,
-          0.2576938569545746,
-          -0.17726917564868927,
-          0.9844260215759277,
-          -0.4435259699821472,
-          -0.1699523627758026,
-          0.6966899037361145,
-          0.9935153722763062,
-          0.994518518447876,
-          0.9067777991294861,
-          -0.9979760646820068,
-          -0.9827584624290466,
-          -0.01198972761631012,
-          0.004887382499873638,
-          0.9262871146202087,
-          -0.011220625601708889,
-          0.20926238596439362,
-          0.08175507932901382,
-          0.13949643075466156,
-          0.24324852228164673,
-          0.2432398945093155,
-          -0.03161051869392395,
-          0.41032442450523376,
-          0.5218767523765564,
-          -0.1977277398109436,
-          0.07446050643920898,
-          -0.20594902336597443,
-          -0.3251917064189911,
-          -0.6149249076843262,
-          0.4732542634010315,
-          0.07446050643920898,
-          0.3481038212776184,
-          0.22188933193683624,
-          0.2149362415075302,
-          -0.24006293714046478,
-          -0.2876802384853363,
-          0.41702282428741455,
-          0.19047819077968597,
-          -0.2501949965953827,
-          -0.15160758793354034,
-          0.43379339575767517,
-          0.0909355953335762,
-          0.451621413230896,
-          0.5065004825592041,
-          -0.9908729195594788,
-          -0.08206022530794144,
-          -0.027877792716026306,
-          0.5542229413986206,
-          -0.38842886686325073,
-          0.9741654992103577,
-          -0.3724351227283478,
-          -0.1986246407032013,
-          -0.3232215344905853,
-          0.7665350437164307,
-          0.5796975493431091,
-          -0.6754114627838135,
-          -0.8743530511856079,
-          -0.8580234050750732,
-          0.7657902240753174,
-          0.6770547032356262,
-          0.5566800236701965,
-          0.935212254524231,
-          -0.584112286567688,
-          0.017612561583518982,
-          -0.36803585290908813,
-          -0.5247402191162109,
-          0.4970661997795105,
-          -0.6998907327651978,
-          -0.5846438407897949,
-          0.9509856700897217,
-          0.8254937529563904,
-          0.6614059805870056,
-          0.5184406042098999,
-          -0.5043556690216064,
-          -0.8817981481552124,
-          -0.6980621218681335,
-          -0.3875381350517273,
-          -0.9762217998504639,
-          -0.9982428550720215,
-          0.2067089080810547,
-          0.11346746981143951,
-          0.01595616154372692,
-          -0.2828061878681183,
-          0.014170551672577858,
-          0.6205798983573914,
-          -0.8973569869995117,
-          -0.7388009428977966,
-          -0.5494065880775452,
-          -0.8166348338127136,
-          0.5313565731048584,
-          -0.004518178757280111,
-          0.48383238911628723,
-          -0.4977671205997467,
-          -0.11393170058727264,
-          -0.1845625638961792,
-          -0.3601009249687195,
-          -0.314405232667923,
-          0.48286524415016174,
-          0.20714795589447021,
-          0.040663253515958786,
-          -0.9531037211418152,
-          -0.26953038573265076,
-          -0.4040994942188263,
-          -0.26528051495552063,
-          0.23274151980876923,
-          -0.6318374872207642,
-          -0.9665676951408386,
-          0.005913611501455307,
-          0.49386274814605713,
-          0.23279796540737152,
-          0.24144552648067474,
-          0.3414899408817291,
-          0.30328240990638733,
-          -0.9941494464874268,
-          -0.3179697096347809,
-          -0.25289952754974365,
-          -0.4826950430870056,
-          -0.992070198059082,
-          -0.9115789532661438,
-          -0.5940829515457153,
-          -0.5463100671768188,
-          -0.9485341310501099,
-          -0.6519872546195984,
-          -0.9987034797668457,
-          -0.5913269519805908,
-          -0.7342608571052551,
-          1,
-          0.45685240626335144,
-          -0.0836566612124443,
-          -0.5427722334861755,
-          -0.2221001833677292,
-          -0.9979760646820068,
-          -0.7426897883415222,
-          0.4536954462528229,
-          -0.5354653596878052,
-          -0.5605345368385315,
-          -0.24477224051952362,
-          -0.31265220046043396,
-          -0.8582495450973511,
-          -0.2184845358133316,
-          -0.8255475759506226,
-          -0.8973569869995117,
-          -0.9509775042533875,
-          0.7109987735748291,
-          -0.3486618995666504,
-          -0.5666218400001526,
-          0.0820944681763649,
-          0.28015971183776855,
-          -0.9690587520599365,
-          -0.6733459830284119,
-          -0.929873526096344,
-          0.05627104640007019,
-          -0.5349896550178528,
-          -0.49556639790534973,
-          -0.2316868156194687,
-          -0.2666398584842682,
-          -0.5846438407897949,
-          0.9041470885276794,
-          0.34881946444511414,
-          0.73880535364151,
-          -0.4977671205997467,
-          -0.620514452457428,
-          0.3705782890319824,
-          -0.3981460928916931,
-          -0.7447241544723511,
-          -0.5671089291572571,
-          -0.7126420140266418,
-          0.3201524019241333,
-          -0.9361801147460938,
-          -0.021949056535959244,
-          0.26071488857269287,
-          0.11704500019550323,
-          -0.09812191873788834,
-          -0.6564890742301941,
-          0.5860076546669006,
-          0.23305492103099823,
-          0.1070864275097847,
-          0.02329915389418602,
-          -0.2407625913619995,
-          0.3414646089076996,
-          0.6114945411682129,
-          0.0007608749438077211,
-          -0.18877489864826202,
-          -0.06473154574632645,
-          -0.5393319725990295,
-          -0.37636464834213257,
-          -0.2776724100112915,
-          0.407381534576416,
-          0.5711175799369812,
-          0.10242214798927307,
-          -0.5774988532066345,
-          0.5009621977806091,
-          0.7229906320571899,
-          0.5307389497756958,
-          0.8771102428436279,
-          -0.6564419269561768,
-          -0.41044551134109497,
-          -0.6564419269561768,
-          -0.7309668660163879,
-          -0.9828091859817505,
-          -0.9828091859817505,
-          -0.31996339559555054,
-          0.02778959460556507,
-          -0.18145851790905,
-          -0.4760945737361908,
-          -0.6159340143203735,
-          -0.5961918830871582,
-          -0.6848282217979431,
-          -0.251895934343338,
-          0.29486724734306335,
-          0.40002304315567017,
-          0.9899379014968872,
-          0.7229412794113159,
-          0.9807852506637573,
-          -0.7337335348129272,
-          -0.8108888864517212,
-          -0.5162743926048279,
-          -0.6094732284545898,
-          -0.9194790720939636,
-          0.5308945178985596,
-          0.01500244252383709,
-          -0.7993972897529602,
-          0.9984241127967834,
-          -0.012843931093811989,
-          -0.8668404221534729,
-          0.990543007850647,
-          0.0920555591583252,
-          -0.31916898488998413,
-          0.9374285340309143,
-          0.7959373593330383,
-          0.8754876255989075,
-          -0.8362293243408203,
-          -0.6582773923873901,
-          -0.9916395545005798,
-          -0.8973569869995117,
-          0.061656251549720764,
-          0.5361354351043701,
-          0.36971715092658997,
-          -0.4583832919597626,
-          -0.46862149238586426,
-          -0.9807852506637573,
-          -0.9511585831642151,
-          -0.27999889850616455,
-          0.038460005074739456,
-          0.1938815712928772,
-          0.19310392439365387,
-          0.5270761847496033,
-          0.5389652252197266,
-          -0.5263717770576477,
-          0.31121960282325745,
-          0.13053779304027557,
-          0.2712872624397278,
-          0.9807852506637573,
-          -0.97075355052948,
-          0.9580817818641663,
-          0.7310782670974731,
-          0.5388161540031433,
-          0.9519411325454712,
-          0.8434329628944397,
-          -0.4833066761493683,
-          -0.20707954466342926,
-          -0.5099445581436157,
-          -0.6608012318611145,
-          -0.018839603289961815,
-          -0.7309668660163879,
-          -0.5254232883453369,
-          0.3551715314388275,
-          -0.21630725264549255,
-          -0.39276570081710815,
-          -0.07621423900127411,
-          0.02646898478269577,
-          0.3646659553050995,
-          0.8563774824142456,
-          0.5865227580070496,
-          0.46233615279197693,
-          0.8343841433525085,
-          -0.8973569869995117,
-          -0.5947028398513794,
-          -0.8064454793930054,
-          0.570570170879364,
-          0.5161767601966858,
-          0.48175233602523804,
-          0.4885003864765167,
-          -0.38643592596054077,
-          -0.4773034155368805,
-          -0.38785600662231445,
-          0.8576608896255493,
-          -0.9899351596832275,
-          0.9875081777572632,
-          -0.1636705994606018,
-          -0.9172571897506714,
-          -0.16427050530910492,
-          -0.4349454939365387,
-          -0.9953550100326538,
-          -0.9971668124198914,
-          0.6962160468101501,
-          0.5453452467918396,
-          -0.05568347126245499,
-          -0.6601232290267944,
-          -0.842789351940155,
-          -0.2496166080236435,
-          -0.8420789837837219,
-          -0.8744059801101685,
-          -0.834104597568512,
-          -0.9026780724525452,
-          0.9523860216140747,
-          0.9934259653091431,
-          -0.7173683643341064,
-          -0.9974165558815002,
-          0.3086850345134735,
-          -0.8398857116699219,
-          -0.2520681619644165,
-          -0.2881055772304535,
-          -0.17640793323516846,
-          -0.8340798020362854,
-          0.803859293460846,
-          -0.5375675559043884,
-          -0.35286054015159607,
-          -0.40147092938423157,
-          -0.5391048192977905,
-          -0.4075758457183838,
-          -0.06929513067007065,
-          0.4999752938747406,
-          0.5083998441696167,
-          0.7683452367782593,
-          0.44873738288879395,
-          0.1870150864124298,
-          0.44929590821266174,
-          0.7604588270187378,
-          -0.253332257270813,
-          0.7990961074829102,
-          -0.4588089883327484,
-          -0.36481741070747375,
-          -0.2928994297981262,
-          -0.620514452457428,
-          -0.8754743337631226,
-          -0.6474624276161194,
-          -0.7147241830825806,
-          -0.8206048011779785,
-          0.8667620420455933,
-          0.8917268514633179,
-          0.9518074989318848,
-          -0.5455569624900818,
-          0.06518997251987457,
-          -0.1746850311756134,
-          0.711083710193634,
-          -0.7957763075828552,
-          -0.23037903010845184,
-          0.4979412853717804,
-          -0.9531556367874146,
-          -0.9841888546943665,
-          0.04183444380760193,
-          0.8254937529563904,
-          0.9814017415046692,
-          -0.5506122708320618,
-          0.9509856700897217,
-          0.8974766731262207,
-          0.8271036744117737,
-          0.6565945744514465,
-          0.5882179737091064,
-          0.4074084758758545,
-          0.1779918372631073,
-          0.8254937529563904,
-          0.3646659553050995,
-          0.6998251676559448,
-          -0.25461456179618835,
-          -0.16163697838783264,
-          0.5031144618988037,
-          0.056570108979940414,
-          0.4599801003932953,
-          0.22676178812980652,
-          -0.27921000123023987,
-          -0.5993555784225464,
-          0.9872598648071289,
-          -0.1492013782262802,
-          -0.11010982096195221,
-          0.08578278124332428,
-          -0.176510289311409,
-          0.12077020108699799,
-          -0.08411595970392227,
-          0.9915391802787781,
-          0.7307949662208557,
-          0.8754876255989075,
-          -0.2441762387752533,
-          -0.14552778005599976,
-          -0.2168065309524536,
-          -0.4977671205997467,
-          0.6998251676559448,
-          0.5844343304634094,
-          -0.4977671205997467,
-          -0.5964337587356567,
-          0.16315852105617523,
-          0.7636315226554871,
-          0.265627384185791,
-          0.9430791139602661,
-          0.6161730289459229,
-          0.9977315664291382,
-          0.9039280414581299,
-          -0.06703191250562668,
-          0.4994438886642456,
-          0.4858933091163635,
-          0.9834839701652527,
-          0.880670964717865,
-          0.8490715026855469,
-          0.9645264744758606,
-          -0.9836878776550293,
-          0.020235415548086166,
-          0.6966110467910767,
-          0.9339800477027893,
-          0.5601944327354431,
-          -0.00601609330624342,
-          0.22188933193683624,
-          0.06982731819152832,
-          0.42058631777763367,
-          -0.20701900124549866,
-          -0.5002540349960327,
-          -0.9948720335960388,
-          -0.6225435733795166,
-          0.29936158657073975,
-          -0.9993430376052856,
-          -0.8705465197563171,
-          0.9978688955307007,
-          0.9816693663597107,
-          -0.2221001833677292,
-          -0.07432012259960175,
-          0.005510379560291767,
-          0.93561190366745,
-          0.769040584564209,
-          0.4979412853717804,
-          0.09552592039108276,
-          -0.4952143132686615,
-          0.8628236055374146,
-          0.891992449760437,
-          0.3251786231994629,
-          -0.9622695446014404,
-          -0.9051315188407898,
-          0.6972473859786987,
-          -0.9227719902992249,
-          -0.9991018772125244,
-          0.9954250454902649,
-          -0.2867448031902313,
-          0.40268635749816895,
-          0.14126500487327576,
-          0.9529435634613037,
-          0.6507450938224792,
-          0.27342158555984497,
-          -0.9639715552330017,
-          -0.971455454826355,
-          0.9434934258460999,
-          0.7417119145393372,
-          0.922407329082489,
-          0.7960216403007507,
-          0.39301806688308716,
-          0.44151046872138977,
-          0.9164034128189087,
-          -0.45337846875190735,
-          -0.7604051232337952,
-          -0.9881238341331482,
-          0.3329641819000244,
-          0.5564926266670227,
-          -0.7899213433265686,
-          0.7021987438201904,
-          -0.9409090876579285,
-          0.8222968578338623,
-          -0.1262354850769043,
-          0.9899379014968872,
-          0.8101232051849365,
-          0.4139884412288666,
-          0.4850161373615265,
-          0.8455127477645874,
-          -0.7117887139320374,
-          -0.9599732160568237,
-          0.32545220851898193,
-          -0.017274606972932816,
-          0.0917535200715065,
-          0.9274268746376038,
-          0.7069732546806335
-         ],
-         "z": [
-          0.24893133342266083,
-          0.06961314380168915,
-          0.38458311557769775,
-          0.045085154473781586,
-          -0.2524856626987457,
-          -0.6164182424545288,
-          -0.4557993710041046,
-          -0.09390309453010559,
-          -0.6660021543502808,
-          -0.5890951156616211,
-          -0.9959505200386047,
-          -0.6060599088668823,
-          -0.298443466424942,
-          -0.4645257592201233,
-          -0.23048292100429535,
-          -0.21867342293262482,
-          -0.31317806243896484,
-          0.07732536643743515,
-          -0.3414348065853119,
-          -0.05248579755425453,
-          -0.10382933914661407,
-          -0.019813725724816322,
-          0.2175561636686325,
-          0.13014905154705048,
-          0.40530869364738464,
-          0.7156205773353577,
-          0.7926167249679565,
-          0.4570474326610565,
-          -0.13187628984451294,
-          0.12653519213199615,
-          -0.22819986939430237,
-          -0.3281902074813843,
-          0.28013405203819275,
-          0.6267420649528503,
-          0.39846572279930115,
-          0.3510749340057373,
-          -0.33739176392555237,
-          -0.18817365169525146,
-          -0.24846261739730835,
-          -0.5050169229507446,
-          -0.5259588956832886,
-          -0.26771974563598633,
-          -0.446445107460022,
-          -0.248659148812294,
-          0.24804984033107758,
-          0.18279309570789337,
-          0.03786000609397888,
-          -0.07831154018640518,
-          -0.20537401735782623,
-          0.22865191102027893,
-          0.03590712696313858,
-          0.0510106198489666,
-          -0.5112490653991699,
-          -0.4819660484790802,
-          -0.5647855401039124,
-          -0.9934210777282715,
-          -0.9370624423027039,
-          -0.3811916410923004,
-          -0.5316653251647949,
-          -0.5263366103172302,
-          -0.7243698835372925,
-          -0.8403451442718506,
-          -0.5899010300636292,
-          -0.9501896500587463,
-          -0.9997191429138184,
-          0.3994015157222748,
-          0.5550714731216431,
-          0.1366790235042572,
-          0.33598801493644714,
-          0.49225300550460815,
-          0.6483957171440125,
-          0.3165377676486969,
-          0.05070596933364868,
-          0.3658945858478546,
-          0.07349245995283127,
-          0.02135220356285572,
-          0.9899535775184631,
-          0.6588714122772217,
-          0.9584241509437561,
-          0.7039474248886108,
-          0.9926663041114807,
-          0.5769069790840149,
-          0.6764622330665588,
-          0.998921275138855,
-          0.5113556385040283,
-          0.5350059866905212,
-          0.4005412459373474,
-          0.18379539251327515,
-          -0.6124829649925232,
-          -0.916515052318573,
-          -0.6823439002037048,
-          0.06995134800672531,
-          -0.09971776604652405,
-          0.30412760376930237,
-          -0.678033173084259,
-          -0.5627862811088562,
-          -0.42405495047569275,
-          -0.4404540956020355,
-          -0.22640195488929749,
-          -0.2587750554084778,
-          -0.5708564519882202,
-          -0.5173807144165039,
-          -0.9726678133010864,
-          -0.6065524220466614,
-          -0.9628442525863647,
-          -0.060457516461610794,
-          0.07383366674184799,
-          0.033002905547618866,
-          -0.26771634817123413,
-          -0.29332637786865234,
-          -0.2589031755924225,
-          0.4012563228607178,
-          0.6697467565536499,
-          0.37911468744277954,
-          0.6959860324859619,
-          -0.3439806401729584,
-          -0.709836483001709,
-          -0.36161622405052185,
-          -0.5031288266181946,
-          -0.37700721621513367,
-          -0.027168434113264084,
-          0.1186046227812767,
-          0.9283714294433594,
-          0.6873116493225098,
-          0.9881190061569214,
-          0.9892323613166809,
-          0.6267638206481934,
-          0.6916837096214294,
-          0.3116864562034607,
-          0.45751941204071045,
-          -0.30098357796669006,
-          -0.5340659618377686,
-          -0.070583276450634,
-          0.9836627840995789,
-          0.9826307892799377,
-          0.2885918915271759,
-          0.23875781893730164,
-          -0.0010253038490191102,
-          -0.01305148471146822,
-          -0.7080255746841431,
-          -0.5416524410247803,
-          -0.7137928605079651,
-          -0.8609718084335327,
-          -0.6466995477676392,
-          -0.22543102502822876,
-          -0.46304792165756226,
-          0.40055951476097107,
-          0.5511629581451416,
-          0.4643996059894562,
-          -0.24696844816207886,
-          0.0023746946826577187,
-          -0.121971994638443,
-          0.09900698065757751,
-          0.24953289330005646,
-          0.22445939481258392,
-          0.10599268972873688,
-          -0.02011456899344921,
-          0.4988115429878235,
-          0.9421597123146057,
-          0.7781175374984741,
-          0.7483584880828857,
-          -0.9510202407836914,
-          -0.5498870611190796,
-          -0.8496232032775879,
-          -0.25599583983421326,
-          -0.018814457580447197,
-          0.0450722798705101,
-          0.006867034826427698,
-          0.9926801323890686,
-          -0.33451950550079346,
-          -0.6014363765716553,
-          -0.3249167501926422,
-          -0.42981573939323425,
-          -0.7796371579170227,
-          -0.6329610347747803,
-          -0.9835079908370972,
-          -0.9459924101829529,
-          -0.5039926767349243,
-          -0.4338308274745941,
-          -0.25865885615348816,
-          -0.6047350168228149,
-          -0.20979124307632446,
-          0.5729902386665344,
-          0.7663477659225464,
-          0.29461243748664856,
-          0.5809187293052673,
-          -0.18392319977283478,
-          0.020668039098381996,
-          -0.27200955152511597,
-          0.03924412652850151,
-          0.0195060633122921,
-          0.3324436545372009,
-          0.6782426834106445,
-          0.17382746934890747,
-          0.4320796728134155,
-          0.20146599411964417,
-          0.37333109974861145,
-          0.5286331176757812,
-          -0.02363656461238861,
-          -0.0906238928437233,
-          0.5550857782363892,
-          0.5451454520225525,
-          0.5945549011230469,
-          -0.7518652677536011,
-          -0.5248426795005798,
-          -0.387797087430954,
-          -0.5349641442298889,
-          -0.25117042660713196,
-          0.1672535389661789,
-          -0.030160700902342796,
-          0.2272733896970749,
-          0.22918443381786346,
-          0.0007958645583130419,
-          -0.47246626019477844,
-          -0.26326435804367065,
-          -0.2667330503463745,
-          0.2950707972049713,
-          0.5224003791809082,
-          0.24893133342266083,
-          0.24893133342266083,
-          -0.3438313901424408,
-          0.2669813930988312,
-          -0.05906572937965393,
-          0.3875717222690582,
-          0.2657814919948578,
-          0.7311900854110718,
-          0.6060779690742493,
-          0.45794302225112915,
-          -0.010273333638906479,
-          0.1575591117143631,
-          0.3539920449256897,
-          -0.6644736528396606,
-          -0.48027414083480835,
-          -0.9416919350624084,
-          0.9293450713157654,
-          0.4946977198123932,
-          0.5810832977294922,
-          0.8662898540496826,
-          0.9053993225097656,
-          0.5155513882637024,
-          0.6468337774276733,
-          0.4702588617801666,
-          0.11277738958597183,
-          -0.048379454761743546,
-          -0.2031347006559372,
-          -0.4603961706161499,
-          -0.1806602030992508,
-          0.10649269074201584,
-          0.24402277171611786,
-          0.22087182104587555,
-          0.6698569059371948,
-          0.6410759091377258,
-          0.4929329752922058,
-          0.23700262606143951,
-          -0.37436285614967346,
-          -0.2582411468029022,
-          0.000663433806039393,
-          -0.9097479581832886,
-          -0.6664299368858337,
-          -0.9650605320930481,
-          0.4332942068576813,
-          0.19210495054721832,
-          0.2930695116519928,
-          0.23533089458942413,
-          0.6286520957946777,
-          0.6442918181419373,
-          0.34618571400642395,
-          -0.006241363473236561,
-          0.1833106428384781,
-          0.29168185591697693,
-          -0.002174111781641841,
-          0.47259294986724854,
-          0.25226056575775146,
-          0.1899283230304718,
-          0.1295872926712036,
-          -0.14776815474033356,
-          -0.007787336595356464,
-          0.1263086497783661,
-          0.15495635569095612,
-          0.40780001878738403,
-          0.5031928420066833,
-          0.22645917534828186,
-          0.04210563376545906,
-          0.1961057186126709,
-          -0.10216209292411804,
-          0.28054866194725037,
-          0.4921416640281677,
-          0.18888798356056213,
-          0.29682838916778564,
-          0.9105742573738098,
-          0.7120792269706726,
-          0.46320977807044983,
-          0.830166220664978,
-          0.48220357298851013,
-          -0.8679813146591187,
-          -0.9516631364822388,
-          0.47452154755592346,
-          0.7259277701377869,
-          0.6084266901016235,
-          0.9848937392234802,
-          -0.23830050230026245,
-          -0.76807701587677,
-          -0.44848307967185974,
-          -0.24442195892333984,
-          0.0057609472423791885,
-          0.04943608120083809,
-          -0.038206059485673904,
-          -0.20376498997211456,
-          -0.33428671956062317,
-          -0.4373824894428253,
-          -0.42244595289230347,
-          -0.6520264744758606,
-          -0.36086952686309814,
-          -0.6188114285469055,
-          0.1818607598543167,
-          -0.31560376286506653,
-          -0.2107848972082138,
-          -0.6734336614608765,
-          0.9861479997634888,
-          0.9878979325294495,
-          0.9840410947799683,
-          0.34084373712539673,
-          -0.6104958653450012,
-          0.29332637786865234,
-          0.6329606175422668,
-          0.4734562635421753,
-          0.6387461423873901,
-          0.9190930128097534,
-          -0.34333351254463196,
-          -0.19907696545124054,
-          -0.007516813464462757,
-          0.35606294870376587,
-          0.5664986968040466,
-          0.2380324900150299,
-          0.02087165042757988,
-          0.1486402451992035,
-          -0.1486402451992035,
-          -0.5884139537811279,
-          -0.24894261360168457,
-          -0.5900663137435913,
-          -0.4645562767982483,
-          0.22966508567333221,
-          0.30052053928375244,
-          0.25223761796951294,
-          0.4725068509578705,
-          0.9906204342842102,
-          0.53376704454422,
-          0.5839667320251465,
-          0.9822286367416382,
-          -0.5414755940437317,
-          -0.959226131439209,
-          -0.8078566789627075,
-          -0.6092051267623901,
-          -0.634707510471344,
-          -0.5340558290481567,
-          0.20579388737678528,
-          0.5619252324104309,
-          0.020743170753121376,
-          -0.8842752575874329,
-          -0.9857361912727356,
-          -0.5279218554496765,
-          -0.9429054260253906,
-          0,
-          -0.4684806168079376,
-          -0.21044278144836426,
-          -0.7952387928962708,
-          -0.9352442026138306,
-          -0.9609246850013733,
-          -0.4732184112071991,
-          0.23765499889850616,
-          -0.0679740384221077,
-          -0.14824911952018738,
-          0.19725912809371948,
-          -0.06877187639474869,
-          -0.07851611077785492,
-          0.8686026334762573,
-          0.6927322745323181,
-          0.6234987378120422,
-          0.5488587021827698,
-          -0.19145558774471283,
-          -0.3909909725189209,
-          -0.07928632199764252,
-          -0.3109854459762573,
-          0.5313256978988647,
-          0.03555777668952942,
-          0.0490003265440464,
-          0.31111860275268555,
-          0.10442136228084564,
-          0.17511685192584991,
-          -0.11836609244346619,
-          0,
-          -0.01821127161383629,
-          -0.3708040714263916,
-          -0.2981916069984436,
-          -0.46162664890289307,
-          -0.1726837307214737,
-          -0.123359814286232,
-          0.4126456081867218,
-          0.17629684507846832,
-          0.43020865321159363,
-          -0.16406390070915222,
-          -0.29134809970855713,
-          -0.3465260863304138,
-          -0.1638673096895218,
-          -0.36755621433258057,
-          -0.19412018358707428,
-          -0.2797713577747345,
-          0.6075701713562012,
-          0.654580295085907,
-          -0.4861188530921936,
-          -0.31833672523498535,
-          -0.5780981779098511,
-          -0.6000235080718994,
-          -0.004480898380279541,
-          0.06860040128231049,
-          -0.24482126533985138,
-          0.28688132762908936,
-          -0.9631673693656921,
-          -0.971184492111206,
-          -0.5911328792572021,
-          -0.9907293319702148,
-          0.5847785472869873,
-          0.9999487996101379,
-          0.5352766513824463,
-          -0.8988922834396362,
-          -0.7401489019393921,
-          0.9553634524345398,
-          -0.23085886240005493,
-          -0.11746350675821304,
-          -0.3938993215560913,
-          -0.5889719724655151,
-          -0.2792058289051056,
-          -0.3732108473777771,
-          -0.3574441075325012,
-          -0.6824148297309875,
-          -0.22026440501213074,
-          -0.5700737833976746,
-          -0.5176344513893127,
-          0.12050525844097137,
-          -0.09682867676019669,
-          -0.35551348328590393,
-          -0.17618408799171448,
-          -0.2755252420902252,
-          0.04571164771914482,
-          -0.17331843078136444,
-          -0.9896681308746338,
-          -0.6911693215370178,
-          -0.5965977907180786,
-          -0.5998966097831726,
-          -0.9706664681434631,
-          -0.9917164444923401,
-          -0.6897068619728088,
-          -0.9094218611717224,
-          0.78774094581604,
-          0.6912752389907837,
-          0.0785423144698143,
-          0.016106540337204933,
-          -0.22879524528980255,
-          0.013991397805511951,
-          -0.38984066247940063,
-          -0.15052154660224915,
-          -0.5829851031303406,
-          -0.23330901563167572,
-          0.059916771948337555,
-          0.0003111835103482008,
-          0.6251672506332397,
-          0.31113284826278687,
-          0.5296736359596252,
-          -0.5800420045852661,
-          0.5752048492431641,
-          0.6355389952659607,
-          0.25313037633895874,
-          -0.47975510358810425,
-          -0.7129015326499939,
-          0.2674548923969269,
-          -0.20113208889961243,
-          0.3797936737537384,
-          1.1691379777549558e-15,
-          -0.2713494598865509,
-          0.40313920378685,
-          0.845343828201294,
-          0.39367449283599854,
-          -0.9590659737586975,
-          -0.2106667459011078,
-          -0.47452685236930847,
-          -0.4596824049949646,
-          -0.25136223435401917,
-          0.15601640939712524,
-          0.08271649479866028,
-          0.9565548896789551,
-          0.7303852438926697,
-          0.6288405656814575,
-          0.9848345518112183,
-          -0.09036430716514587,
-          -0.42064154148101807,
-          -0.9738449454307556,
-          -0.5138938426971436,
-          -0.16709473729133606,
-          -0.2977195680141449,
-          0.014614290557801723,
-          0.9725919365882874,
-          -0.593136191368103,
-          0.7926254868507385,
-          0.7128075361251831,
-          0.5469134449958801,
-          0.4639262855052948,
-          -0.06447644531726837,
-          0.17454104125499725,
-          -0.9590659737586975,
-          -0.8485125303268433,
-          -0.8613754510879517,
-          -0.8202615976333618,
-          -0.9732046723365784,
-          -0.44705015420913696,
-          -0.9994475841522217,
-          -0.7387363910675049,
-          -0.9583876729011536,
-          0.5713192224502563,
-          0.6820598244667053,
-          0.6784961819648743,
-          0.9906498193740845,
-          -0.9688231945037842,
-          -0.6363033056259155,
-          -0.9904927015304565,
-          -0.09575266391038895,
-          -0.5594531893730164,
-          0.3919374942779541,
-          0.6962965726852417,
-          0.4743371605873108,
-          0.32579144835472107,
-          -0.036251384764909744,
-          0.30545035004615784,
-          -0.3993871510028839,
-          -0.16404372453689575,
-          -0.05687348172068596,
-          0.06529530882835388,
-          -0.2403002232313156,
-          -0.21965867280960083,
-          -0.5458555817604065,
-          -0.33839061856269836,
-          -0.7479055523872375,
-          -0.6366367340087891,
-          -0.8835325837135315,
-          -0.998812198638916,
-          0.9292991161346436,
-          0.5906811952590942,
-          0.1568344235420227,
-          0.329791784286499,
-          0.6214436292648315,
-          0.8624156713485718,
-          0.9541876912117004,
-          0.8377023935317993,
-          0.16098438203334808,
-          0.5198801755905151,
-          0.4614923894405365,
-          0.4828778803348541,
-          -0.4090541899204254,
-          -0.6571433544158936,
-          0.7736345529556274,
-          0.9174755811691284,
-          0.5050711035728455,
-          0.6888444423675537,
-          -0.6057143807411194,
-          0.9539580345153809,
-          0.7932191491127014,
-          0.3558451235294342,
-          -0.294318825006485,
-          -0.43747037649154663,
-          -0.2859049141407013,
-          -0.5471164584159851,
-          0.3661544919013977,
-          0.21708662807941437,
-          0.047813039273023605,
-          -0.10936380922794342,
-          -0.9813233017921448,
-          0.6716124415397644,
-          0.9972550272941589,
-          0.9591069221496582,
-          0.9881190061569214,
-          -0.5873571634292603,
-          -0.7924172282218933,
-          -0.597710132598877,
-          -0.2933533787727356,
-          0.6591892242431641,
-          0.982540488243103,
-          0.15812546014785767,
-          0.5574328303337097,
-          0.3088320791721344,
-          -0.15484392642974854,
-          0.06583964824676514,
-          0.0556543804705143,
-          -0.41467854380607605,
-          -0.020549282431602478,
-          -0.17505614459514618,
-          -0.6844256520271301,
-          -0.14388316869735718,
-          0.37474673986434937,
-          -0.9988948702812195,
-          -0.18562301993370056,
-          0.21414516866207123,
-          0.1545124351978302,
-          -0.0718170553445816,
-          0.09742579609155655,
-          0.2770216763019562,
-          -0.1361367404460907,
-          0.23760713636875153,
-          -0.979985237121582,
-          -0.9926663041114807,
-          -0.9774913191795349,
-          -0.16620796918869019,
-          0.3408176600933075,
-          -0.8754684329032898,
-          -0.9926663041114807,
-          -0.9343691468238831,
-          -0.9726558923721313,
-          0.3258844017982483,
-          -0.6285980939865112,
-          -0.9526984095573425,
-          0.5530601739883423,
-          0.4029441475868225,
-          -0.15432234108448029,
-          -0.25908252596855164,
-          0.4096115529537201,
-          0.43439316749572754,
-          -0.8870314359664917,
-          -0.41186952590942383,
-          0.09266889840364456,
-          0.2557157576084137,
-          0.6775721907615662,
-          -0.4413914978504181,
-          0.13172948360443115,
-          0.21691279113292694,
-          -0.9269883036613464,
-          0.30631664395332336,
-          0.21891158819198608,
-          -0.6346932053565979,
-          -0.3447767496109009,
-          0.130438894033432,
-          0.47534096240997314,
-          0.5058916211128235,
-          -0.6356008052825928,
-          -0.24553059041500092,
-          -0.17978045344352722,
-          -0.34532439708709717,
-          -0.2420850694179535,
-          -0.4619636535644531,
-          -0.4826432168483734,
-          0.5221319198608398,
-          0.029748890548944473,
-          -0.7130288481712341,
-          -0.8076095581054688,
-          0.29332637786865234,
-          0.5628518462181091,
-          0.06730208545923233,
-          0.4723880887031555,
-          -0.12552547454833984,
-          -0.4614121615886688,
-          0.08412102609872818,
-          -0.13070812821388245,
-          -0.2101341336965561,
-          0.01784065179526806,
-          0.9772608280181885,
-          0.9888244271278381,
-          0.998428463935852,
-          0.9541769623756409,
-          0.9986042976379395,
-          -0.7781175374984741,
-          0.43230360746383667,
-          0.6684873104095459,
-          0.2304299771785736,
-          -0.5736464858055115,
-          -0.844412088394165,
-          0.00047851071576587856,
-          -0.8698142766952515,
-          -0.8623660206794739,
-          -0.6524214744567871,
-          0.4876599907875061,
-          0.41059526801109314,
-          0.11519432067871094,
-          0.027569491416215897,
-          -0.18464042246341705,
-          0.07333831489086151,
-          -0.28634411096572876,
-          -0.628840982913971,
-          -0.4625285863876343,
-          -0.7084884643554688,
-          0.13881811499595642,
-          0.013083233498036861,
-          -0.2419593632221222,
-          -0.9994175434112549,
-          -0.8644529581069946,
-          -0.969346821308136,
-          0.6237660050392151,
-          0.3980129659175873,
-          0.07845746725797653,
-          0.059401463717222214,
-          0.9435102343559265,
-          0.6205036044120789,
-          0.8704222440719604,
-          0.0805128887295723,
-          0.40569618344306946,
-          0.7998630404472351,
-          -0.15637905895709991,
-          -0.30140817165374756,
-          -0.10545636713504791,
-          0.013164041563868523,
-          -0.8021248579025269,
-          -0.674019455909729,
-          1.1381953347961641e-15,
-          0.8842353820800781,
-          0.70960932970047,
-          0.8383103013038635,
-          0.9725919365882874,
-          -0.020549282431602478,
-          0.6637487411499023,
-          -0.4817539155483246,
-          0.842215895652771,
-          0.827395498752594,
-          0.5711965560913086,
-          0.9451232552528381,
-          -0.505468487739563,
-          -0.5622516870498657,
-          0.5627862811088562,
-          0.43230360746383667,
-          0.2933533787727356,
-          -0.7023643851280212,
-          0.5701262354850769,
-          0.32938721776008606,
-          -0.9919143915176392,
-          -0.9549797773361206,
-          0.23374751210212708,
-          0.026159776374697685,
-          -0.36292386054992676,
-          0.9944577813148499,
-          0.021349981427192688,
-          -0.4515495300292969,
-          -0.0596543550491333,
-          -0.054855652153491974,
-          -0.8076095581054688,
-          -0.4196002781391144,
-          -0.4410720765590668,
-          -0.6684819459915161,
-          0.8623660206794739,
-          0.7781712412834167,
-          -0.4617902934551239,
-          0.9156145453453064,
-          0.6612699031829834,
-          0.8220000267028809,
-          0.7003620862960815,
-          0.9428480863571167,
-          0.3421337604522705,
-          0.009491427801549435,
-          -0.024708475917577744,
-          -0.243136465549469,
-          -0.6658512353897095,
-          0.05885906517505646,
-          -0.12039002776145935,
-          -0.9692688584327698,
-          -0.9894528985023499,
-          -0.712857186794281,
-          0.9669307470321655,
-          0.9363831281661987,
-          0.7855737209320068,
-          0.0020480032544583082,
-          0.48156502842903137,
-          0.23229436576366425,
-          0.2777603268623352,
-          0.9257963299751282,
-          0.6556273102760315,
-          -0.9106780886650085,
-          -0.3095446527004242,
-          0.9899122714996338,
-          -0.8134732842445374,
-          0.8606582283973694,
-          0.6877522468566895,
-          0.4117426872253418,
-          0.4701825976371765,
-          0.7486863732337952,
-          0.544661283493042,
-          0.7486863732337952,
-          0.678033173084259,
-          0.17454104125499725,
-          -0.17454104125499725,
-          -0.9429054260253906,
-          -0.9972629547119141,
-          -0.7024728059768677,
-          0.484409362077713,
-          -0.7819303274154663,
-          -0.7981323003768921,
-          -0.7253903150558472,
-          -0.28735053539276123,
-          0.36599305272102356,
-          -0.9146113395690918,
-          -0.10216209292411804,
-          0.01893974095582962,
-          0.19509032368659973,
-          -0.6746619939804077,
-          -0.580647885799408,
-          -0.8524736762046814,
-          -0.38539648056030273,
-          0.3909161388874054,
-          0.8446590304374695,
-          -0.9985224008560181,
-          0.5946504473686218,
-          -0.01600003056228161,
-          0.40821167826652527,
-          0.48939603567123413,
-          -0.09601835906505585,
-          -0.9909332990646362,
-          -0.5974749326705933,
-          0.33801841735839844,
-          0.5988664031028748,
-          0.47321829199790955,
-          0.5466654896736145,
-          -0.08516772836446762,
-          -0.08488517999649048,
-          -0.43230360746383667,
-          -0.9939273595809937,
-          -0.8418577313423157,
-          0.37960660457611084,
-          0.3056824207305908,
-          -0.3595028221607208,
-          -0.19509032368659973,
-          -0.29275640845298767,
-          -0.9550285339355469,
-          0.9962120056152344,
-          0.9809043407440186,
-          0.6006340980529785,
-          0.8467000126838684,
-          -0.8403451442718506,
-          -0.8470764756202698,
-          0.2801212966442108,
-          -0.9871431589126587,
-          0.08321216702461243,
-          0.19509032368659973,
-          0.22816050052642822,
-          -0.2699337899684906,
-          -0.6778974533081055,
-          -0.8404248356819153,
-          0.2901766896247864,
-          0.5331884622573853,
-          0.44227609038352966,
-          0.9771484136581421,
-          0.8558570742607117,
-          -0.7451087236404419,
-          0.9981444478034973,
-          -0.678033173084259,
-          -0.8475834727287292,
-          0.3360883593559265,
-          0.9743492007255554,
-          -0.282871812582016,
-          -0.22345055639743805,
-          0.3189956545829773,
-          -0.9293450713157654,
-          0.5089709162712097,
-          0.8060675263404846,
-          0.8813042640686035,
-          -0.5501174926757812,
-          0.43230360746383667,
-          0.399971067905426,
-          0.5860621929168701,
-          -0.8191595077514648,
-          0.8525258898735046,
-          0.4839176535606384,
-          0.43716105818748474,
-          0.44707098603248596,
-          -0.004523725248873234,
-          -0.0728132501244545,
-          -0.5065698027610779,
-          0.10219016671180725,
-          0.12683188915252686,
-          0.46737194061279297,
-          -0.39507293701171875,
-          0.14336158335208893,
-          0.5697399377822876,
-          -0.04716167598962784,
-          -0.02876582369208336,
-          0.716044545173645,
-          0.8369349837303162,
-          -0.3292773365974426,
-          0.7456651926040649,
-          0.5343924760818481,
-          -0.9642449021339417,
-          -0.535721480846405,
-          -0.4752419590950012,
-          0.5506404638290405,
-          0.42234858870506287,
-          0.2887100875377655,
-          -0.06674723327159882,
-          0.6946030259132385,
-          0.02623007260262966,
-          0.946326732635498,
-          -0.5398248434066772,
-          -0.9635012149810791,
-          -0.9525694251060486,
-          -0.5915231704711914,
-          -0.5506868362426758,
-          0.5892135500907898,
-          -0.8410922288894653,
-          -0.9329262375831604,
-          -0.9138374328613281,
-          0.8402705788612366,
-          0.9105742573738098,
-          -0.9931750297546387,
-          -0.4777680039405823,
-          -0.8566827178001404,
-          -0.6324874758720398,
-          0.8885729312896729,
-          0.9815806150436401,
-          -0.13777193427085876,
-          -0.6420971155166626,
-          -0.5806383490562439,
-          0.5950174927711487,
-          -0.8831895589828491,
-          -0.9292991161346436,
-          -0.515745222568512,
-          -0.7781712412834167,
-          -0.47324317693710327,
-          0.7560555934906006,
-          -0.6978248953819275,
-          0.5688090324401855,
-          0.48954278230667114,
-          -0.4428369104862213,
-          -0.2906172573566437,
-          -0.8368217945098877,
-          -0.9935793280601501,
-          0.982795000076294,
-          -0.7022608518600464,
-          -0.5990626811981201,
-          0.4099653661251068,
-          0.8622729182243347,
-          -0.286173015832901,
-          0.16053339838981628,
-          0.6610923409461975,
-          0.5628518462181091,
-          0.18883104622364044,
-          0.8341196775436401,
-          -0.29332637786865234,
-          -0.4320796728134155,
-          -0.5608901381492615,
-          -0.7485610842704773,
-          -0.06010530889034271,
-          0.21931923925876617,
-          -0.22103886306285858,
-          -0.5628518462181091,
-          0.9293450713157654,
-          0.7130826711654663,
-          0.9627287983894348,
-          0.9840801358222961,
-          -0.8595077991485596,
-          0.31655168533325195,
-          0.882563591003418,
-          0.971177875995636,
-          -0.9552678465843201,
-          0.7955359220504761,
-          -0.12935291230678558,
-          0.9853049516677856,
-          -0.33821555972099304,
-          0.9915511608123779,
-          -0.9826152324676514,
-          -0.9881051778793335,
-          0.9917153120040894,
-          0.08590389788150787,
-          -0.6782426834106445,
-          0.47321829199790955,
-          -0.17458701133728027,
-          -0.445766419172287,
-          -0.648909866809845,
-          -0.8623660206794739,
-          0.7130826711654663,
-          0.807781457901001,
-          0.8623660206794739,
-          -0.31360378861427307,
-          0.9839302897453308,
-          0.6382311582565308,
-          -0.9593880772590637,
-          0.3193909227848053,
-          -0.7817341685295105,
-          0.023031573742628098,
-          -0.4200100302696228,
-          0.9933979511260986,
-          -0.8614697456359863,
-          -0.8687127232551575,
-          0.16769032180309296,
-          0.46352097392082214,
-          -0.5226393938064575,
-          -0.24868835508823395,
-          0.16562004387378693,
-          0.3897646963596344,
-          0.7157204151153564,
-          0.3493865430355072,
-          -0.8276746273040771,
-          -0.9994074702262878,
-          0.9726558923721313,
-          -0.2598225772380829,
-          0.9036200046539307,
-          0.9771667718887329,
-          0.8610367178916931,
-          -0.05206523463129997,
-          0.20172397792339325,
-          -0.9491549134254456,
-          0.006670048926025629,
-          0.48246243596076965,
-          0.02163754589855671,
-          0.1861138790845871,
-          -0.9725919365882874,
-          -0.9926801323890686,
-          -0.9994572997093201,
-          0.34400707483291626,
-          0.6316402554512024,
-          -0.8622729182243347,
-          0.6931447386741638,
-          0.8637305498123169,
-          -0.49691101908683777,
-          0.4423399865627289,
-          0.9413233995437622,
-          0.2561284601688385,
-          0.4177584648132324,
-          -0.7151981592178345,
-          0.3847554624080658,
-          0.00911870226264,
-          0.04645007848739624,
-          0.9529821872711182,
-          0.9131877422332764,
-          0.9860866069793701,
-          -0.28687211871147156,
-          0.7533616423606873,
-          0.525320291519165,
-          -0.2505177855491638,
-          0.22584663331508636,
-          -0.31802502274513245,
-          -0.664940357208252,
-          0.3854376971721649,
-          -0.5987637042999268,
-          0.9183555841445923,
-          -0.8924358487129211,
-          -0.39667022228240967,
-          -0.8860922455787659,
-          0.642162561416626,
-          -0.12058087438344955,
-          -0.9389616847038269,
-          -0.830712616443634,
-          -0.606196939945221,
-          -0.7111347317695618,
-          -0.3265444338321686,
-          -0.56674724817276,
-          0.9875668883323669,
-          -0.10216209292411804,
-          0.5815808773040771,
-          0.9071466326713562,
-          -0.8691815733909607,
-          -0.5292973518371582,
-          -0.7014018893241882,
-          0.2636984586715698,
-          0.9412404298782349,
-          0.9982985854148865,
-          0.9909630417823792,
-          -0.3709893822669983,
-          -0.7072163224220276
-         ]
-        }
-       ],
-       "layout": {
-        "height": 500,
-        "scene": {
-         "aspectmode": "data"
-        },
-        "template": {
-         "data": {
-          "bar": [
-           {
-            "error_x": {
-             "color": "#2a3f5f"
-            },
-            "error_y": {
-             "color": "#2a3f5f"
-            },
-            "marker": {
-             "line": {
-              "color": "#E5ECF6",
-              "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "bar"
-           }
-          ],
-          "barpolar": [
-           {
-            "marker": {
-             "line": {
-              "color": "#E5ECF6",
-              "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "barpolar"
-           }
-          ],
-          "carpet": [
-           {
-            "aaxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "baxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "type": "carpet"
-           }
-          ],
-          "choropleth": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "choropleth"
-           }
-          ],
-          "contour": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "contour"
-           }
-          ],
-          "contourcarpet": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "contourcarpet"
-           }
-          ],
-          "heatmap": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "heatmap"
-           }
-          ],
-          "heatmapgl": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "heatmapgl"
-           }
-          ],
-          "histogram": [
-           {
-            "marker": {
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "histogram"
-           }
-          ],
-          "histogram2d": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "histogram2d"
-           }
-          ],
-          "histogram2dcontour": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "histogram2dcontour"
-           }
-          ],
-          "mesh3d": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "mesh3d"
-           }
-          ],
-          "parcoords": [
-           {
-            "line": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "parcoords"
-           }
-          ],
-          "pie": [
-           {
-            "automargin": true,
-            "type": "pie"
-           }
-          ],
-          "scatter": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatter"
-           }
-          ],
-          "scatter3d": [
-           {
-            "line": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatter3d"
-           }
-          ],
-          "scattercarpet": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattercarpet"
-           }
-          ],
-          "scattergeo": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattergeo"
-           }
-          ],
-          "scattergl": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattergl"
-           }
-          ],
-          "scattermapbox": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattermapbox"
-           }
-          ],
-          "scatterpolar": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterpolar"
-           }
-          ],
-          "scatterpolargl": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterpolargl"
-           }
-          ],
-          "scatterternary": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterternary"
-           }
-          ],
-          "surface": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "surface"
-           }
-          ],
-          "table": [
-           {
-            "cells": {
-             "fill": {
-              "color": "#EBF0F8"
-             },
-             "line": {
-              "color": "white"
-             }
-            },
-            "header": {
-             "fill": {
-              "color": "#C8D4E3"
-             },
-             "line": {
-              "color": "white"
-             }
-            },
-            "type": "table"
-           }
-          ]
-         },
-         "layout": {
-          "annotationdefaults": {
-           "arrowcolor": "#2a3f5f",
-           "arrowhead": 0,
-           "arrowwidth": 1
-          },
-          "autotypenumbers": "strict",
-          "coloraxis": {
-           "colorbar": {
-            "outlinewidth": 0,
-            "ticks": ""
-           }
-          },
-          "colorscale": {
-           "diverging": [
-            [
-             0,
-             "#8e0152"
-            ],
-            [
-             0.1,
-             "#c51b7d"
-            ],
-            [
-             0.2,
-             "#de77ae"
-            ],
-            [
-             0.3,
-             "#f1b6da"
-            ],
-            [
-             0.4,
-             "#fde0ef"
-            ],
-            [
-             0.5,
-             "#f7f7f7"
-            ],
-            [
-             0.6,
-             "#e6f5d0"
-            ],
-            [
-             0.7,
-             "#b8e186"
-            ],
-            [
-             0.8,
-             "#7fbc41"
-            ],
-            [
-             0.9,
-             "#4d9221"
-            ],
-            [
-             1,
-             "#276419"
-            ]
-           ],
-           "sequential": [
-            [
-             0,
-             "#0d0887"
-            ],
-            [
-             0.1111111111111111,
-             "#46039f"
-            ],
-            [
-             0.2222222222222222,
-             "#7201a8"
-            ],
-            [
-             0.3333333333333333,
-             "#9c179e"
-            ],
-            [
-             0.4444444444444444,
-             "#bd3786"
-            ],
-            [
-             0.5555555555555556,
-             "#d8576b"
-            ],
-            [
-             0.6666666666666666,
-             "#ed7953"
-            ],
-            [
-             0.7777777777777778,
-             "#fb9f3a"
-            ],
-            [
-             0.8888888888888888,
-             "#fdca26"
-            ],
-            [
-             1,
-             "#f0f921"
-            ]
-           ],
-           "sequentialminus": [
-            [
-             0,
-             "#0d0887"
-            ],
-            [
-             0.1111111111111111,
-             "#46039f"
-            ],
-            [
-             0.2222222222222222,
-             "#7201a8"
-            ],
-            [
-             0.3333333333333333,
-             "#9c179e"
-            ],
-            [
-             0.4444444444444444,
-             "#bd3786"
-            ],
-            [
-             0.5555555555555556,
-             "#d8576b"
-            ],
-            [
-             0.6666666666666666,
-             "#ed7953"
-            ],
-            [
-             0.7777777777777778,
-             "#fb9f3a"
-            ],
-            [
-             0.8888888888888888,
-             "#fdca26"
-            ],
-            [
-             1,
-             "#f0f921"
-            ]
-           ]
-          },
-          "colorway": [
-           "#636efa",
-           "#EF553B",
-           "#00cc96",
-           "#ab63fa",
-           "#FFA15A",
-           "#19d3f3",
-           "#FF6692",
-           "#B6E880",
-           "#FF97FF",
-           "#FECB52"
-          ],
-          "font": {
-           "color": "#2a3f5f"
-          },
-          "geo": {
-           "bgcolor": "white",
-           "lakecolor": "white",
-           "landcolor": "#E5ECF6",
-           "showlakes": true,
-           "showland": true,
-           "subunitcolor": "white"
-          },
-          "hoverlabel": {
-           "align": "left"
-          },
-          "hovermode": "closest",
-          "mapbox": {
-           "style": "light"
-          },
-          "paper_bgcolor": "white",
-          "plot_bgcolor": "#E5ECF6",
-          "polar": {
-           "angularaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "bgcolor": "#E5ECF6",
-           "radialaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           }
-          },
-          "scene": {
-           "xaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           },
-           "yaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           },
-           "zaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           }
-          },
-          "shapedefaults": {
-           "line": {
-            "color": "#2a3f5f"
-           }
-          },
-          "ternary": {
-           "aaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "baxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "bgcolor": "#E5ECF6",
-           "caxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           }
-          },
-          "title": {
-           "x": 0.05
-          },
-          "xaxis": {
-           "automargin": true,
-           "gridcolor": "white",
-           "linecolor": "white",
-           "ticks": "",
-           "title": {
-            "standoff": 15
-           },
-           "zerolinecolor": "white",
-           "zerolinewidth": 2
-          },
-          "yaxis": {
-           "automargin": true,
-           "gridcolor": "white",
-           "linecolor": "white",
-           "ticks": "",
-           "title": {
-            "standoff": 15
-           },
-           "zerolinecolor": "white",
-           "zerolinewidth": 2
-          }
-         }
-        },
-        "title": {
-         "text": "Stochastic Results"
-        },
-        "width": 500,
-        "xaxis": {
-         "range": [
-          -5,
-          5
-         ]
-        },
-        "yaxis": {
-         "range": [
-          -1,
-          0.9999999999999999
-         ]
-        }
-       }
-      },
-      "text/html": [
-       "
                                
                        
    "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "        \n",
-       "        "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "linkText": "Export to plot.ly",
-        "plotlyServerURL": "https://plot.ly",
-        "showLink": false
-       },
-       "data": [
-        {
-         "marker": {
-          "color": [
-           1565.224247,
-           1818.911328,
-           1922.47678,
-           1794.591662,
-           11221.832806,
-           10794.41376,
-           12893.225008,
-           12187.049807,
-           1345.121457,
-           1395.235998,
-           1407.277092,
-           1576.922575,
-           1635.088976,
-           1842.884785,
-           2022.056003,
-           1954.357444,
-           22269.938468,
-           19490.78128,
-           18656.609971,
-           21215.78276,
-           3423.891452,
-           2841.518872,
-           3216.957591,
-           3630.277363,
-           4195.806906,
-           4873.44433,
-           4170.196427,
-           4831.775357,
-           30275.682043,
-           31249.051993,
-           29245.695302,
-           32047.639268,
-           20658.792651,
-           20956.914957,
-           19645.764327,
-           22020.389133,
-           22959.236333,
-           24428.624824,
-           25101.203399,
-           25551.452841,
-           471.239802,
-           429.843113,
-           508.623088,
-           560.942909,
-           13086.620537,
-           13144.088836,
-           11830.03781,
-           13005.561052,
-           1719.676337,
-           1697.870045,
-           1950.988248,
-           1595.186823,
-           24149.579047,
-           20634.725206,
-           23264.45391,
-           22061.580822,
-           985.683333,
-           932.740161,
-           979.803708,
-           1181.024752,
-           354.999306,
-           526.395841,
-           353.345939,
-           416.28719,
-           348.085864,
-           24060.170595,
-           22642.92807,
-           23451.830795,
-           1328.561265,
-           1173.773788,
-           1164.887821,
-           1026.933212,
-           25113.389199,
-           24245.538865,
-           22292.560699,
-           27308.690851,
-           813.704888,
-           806.212751,
-           899.798717,
-           974.743232,
-           30378.504905,
-           32364.791354,
-           33649.664743,
-           32514.40482,
-           660.893186,
-           822.616904,
-           803.08697,
-           710.384566,
-           1307.833854,
-           1382.955037,
-           1493.398978,
-           2454.970968,
-           2992.704245,
-           3081.39456,
-           31755.523752,
-           39080.706873,
-           33044.209835,
-           32006.979231,
-           15810.050163,
-           14426.00843,
-           15129.602588,
-           15115.1645,
-           13520.192653,
-           14376.115281,
-           12018.989155,
-           17097.367949,
-           19109.717634,
-           17615.960033,
-           17922.40358,
-           16745.201696,
-           19730.373842,
-           3046.469553,
-           2648.347339,
-           2551.515518,
-           2850.611329,
-           3093.245676,
-           2791.222085,
-           2678.953483,
-           2942.052861,
-           10093.426983,
-           9723.119499,
-           11188.92264,
-           319.202405,
-           311.289874,
-           241.745461,
-           361.374258,
-           2151.636378,
-           2881.357799,
-           2310.112744,
-           2490.225368,
-           1469.670615,
-           1647.931206,
-           1552.261565,
-           204.363427,
-           383.978411,
-           14797.713488,
-           15681.448726,
-           14180.828657,
-           16632.519956,
-           23687.616108,
-           25033.543907,
-           25820.795168,
-           23192.849931,
-           23368.13313,
-           24448.632052,
-           27554.866417,
-           1451.230062,
-           1630.821948,
-           1707.085133,
-           5455.987831,
-           5124.987042,
-           4751.273205,
-           5648.034717,
-           4609.774732,
-           4656.983898,
-           3589.753185,
-           4273.545331,
-           29204.340751,
-           29253.469376,
-           31652.691289,
-           26898.313179,
-           14986.415883,
-           17172.253749,
-           15782.678685,
-           10030.252862,
-           10222.075778,
-           10246.035128,
-           9223.19773,
-           39080.706873,
-           9214.018308,
-           8490.991445,
-           8415.221431,
-           7729.472556,
-           7521.496596,
-           7711.710858,
-           8534.351226,
-           6814.03615,
-           1190.719602,
-           3079.887878,
-           3499.104935,
-           3089.427177,
-           2729.124187,
-           505.414467,
-           515.242785,
-           520.26973,
-           522.002968,
-           2336.843037,
-           2270.489158,
-           11740.140058,
-           13430.467631,
-           11739.81457,
-           33112.669057,
-           39080.706873,
-           39080.706873,
-           39080.706873,
-           4374.73274,
-           4016.770071,
-           3395.227348,
-           14421.037748,
-           12685.904001,
-           15262.129542,
-           13175.877825,
-           16320.259313,
-           5102.235025,
-           5657.804578,
-           5252.841223,
-           6093.533022,
-           12422.171919,
-           13824.078274,
-           11543.238822,
-           11205.69758,
-           10048.541308,
-           1787.401232,
-           1901.41049,
-           1576.381168,
-           330.838884,
-           170.989284,
-           187.613529,
-           173.414623,
-           257.960397,
-           3967.113363,
-           592.493716,
-           584.792098,
-           744.075369,
-           1171.294494,
-           965.203075,
-           1249.433578,
-           1003.243012,
-           20084.285918,
-           19701.484494,
-           20898.636235,
-           2020.125587,
-           2172.890137,
-           21259.714819,
-           32114.210204,
-           31777.861652,
-           33225.530183,
-           3513.27016,
-           2902.741593,
-           4174.668888,
-           4163.496761,
-           3678.027401,
-           4055.084026,
-           2338.316477,
-           1903.632424,
-           2344.791772,
-           546.744255,
-           625.641964,
-           437.391528,
-           427.039563,
-           16220.101864,
-           17853.137943,
-           15141.889195,
-           17666.23541,
-           1302.944496,
-           9653.031217,
-           8685.145823,
-           4917.592293,
-           5424.914879,
-           5523.998366,
-           982.865076,
-           854.719011,
-           961.711469,
-           12045.88419,
-           10536.333774,
-           12115.227079,
-           11657.757414,
-           6765.393138,
-           7104.891234,
-           7923.045378,
-           7959.853089,
-           744.755037,
-           644.966091,
-           770.590133,
-           9711.929454,
-           1196.355464,
-           1038.795101,
-           1380.530997,
-           1912.795858,
-           1640.567119,
-           1851.02117,
-           5231.371516,
-           5070.064929,
-           4464.203642,
-           4719.564727,
-           18184.519149,
-           20294.218332,
-           21524.483777,
-           20828.819892,
-           675.943475,
-           728.960502,
-           864.644525,
-           952.109281,
-           603.823006,
-           1047.524637,
-           1185.37806,
-           7744.644239,
-           8835.595945,
-           7892.716433,
-           8017.532669,
-           3358.960635,
-           3509.378573,
-           3893.301069,
-           5684.016347,
-           5233.971389,
-           6149.266561,
-           31889.203488,
-           29000.772641,
-           32798.918494,
-           30757.312671,
-           6225.612789,
-           6810.796216,
-           7189.617471,
-           6699.273703,
-           11509.966048,
-           1295.722486,
-           1419.110363,
-           297.31435,
-           1081.143565,
-           1270.408445,
-           1276.514874,
-           18071.17748,
-           8993.092569,
-           24171.730052,
-           1996.326597,
-           1811.885413,
-           2252.817487,
-           1994.730239,
-           29086.414505,
-           26696.020551,
-           30612.064917,
-           4842.472307,
-           5789.434164,
-           5601.393606,
-           33268.514195,
-           39080.706873,
-           39080.706873,
-           561.543428,
-           624.690877,
-           780.062687,
-           596.296057,
-           0,
-           184.556662,
-           0,
-           0,
-           24521.167108,
-           27195.377752,
-           27670.88771,
-           27833.128212,
-           8807.603137,
-           9628.133732,
-           10299.298556,
-           10350.135049,
-           9734.912044,
-           11459.248234,
-           256.617594,
-           212.474208,
-           164.727301,
-           0,
-           170.206612,
-           169.345003,
-           212.989704,
-           39080.706873,
-           39080.706873,
-           39080.706873,
-           12700.058712,
-           11329.764573,
-           13068.371509,
-           13176.216653,
-           16207.613159,
-           913.336749,
-           1054.937054,
-           1036.342525,
-           1136.522317,
-           7355.246252,
-           3574.37007,
-           3549.183835,
-           3660.559549,
-           1236.472665,
-           250.974209,
-           313.802964,
-           322.041613,
-           426.540352,
-           296.501711,
-           300.991035,
-           16360.377139,
-           15929.880937,
-           39080.706873,
-           32890.475301,
-           39080.706873,
-           39080.706873,
-           214.964371,
-           267.567414,
-           163.406497,
-           4852.811438,
-           4555.602776,
-           5539.93795,
-           30674.760816,
-           28392.072514,
-           13194.946064,
-           13585.330388,
-           7866.918048,
-           6510.334391,
-           10728.009775,
-           10157.679151,
-           11549.873796,
-           12045.269402,
-           3478.204493,
-           3904.105983,
-           534.577619,
-           732.401615,
-           2734.885683,
-           3489.985535,
-           971.299729,
-           739.779548,
-           807.871865,
-           8456.197878,
-           585.612337,
-           844.683207,
-           709.734657,
-           587.453854,
-           645.048726,
-           475.309249,
-           484.206617,
-           6058.103793,
-           6234.821247,
-           4636.958551,
-           13916.13966,
-           15019.616594,
-           15722.531258,
-           13612.431691,
-           21118.935458,
-           14034.7119,
-           12948.357657,
-           15194.404222,
-           170.72239,
-           0,
-           214.41869,
-           4093.870116,
-           3572.107346,
-           3718.666571,
-           2555.942911,
-           2692.216658,
-           3025.490217,
-           3215.729169,
-           25645.668086,
-           25827.272159,
-           27950.338337,
-           12813.937646,
-           16055.99292,
-           19042.152853,
-           17911.484167,
-           18773.149219,
-           1642.417848,
-           1991.69974,
-           1063.743219,
-           1222.018228,
-           17812.534432,
-           19584.476628,
-           20023.783934,
-           19162.93295,
-           31225.71776,
-           24131.212369,
-           26629.513708,
-           22698.989541,
-           16624.132278,
-           17834.678953,
-           14910.965963,
-           17331.611386,
-           6641.550988,
-           6891.014537,
-           6996.393223,
-           4207.05468,
-           4428.56328,
-           1001.112644,
-           3960.716737,
-           2086.089407,
-           29369.047956,
-           27699.717043,
-           7622.351589,
-           6458.757,
-           6483.817811,
-           276.746212,
-           24697.671603,
-           25266.286353,
-           11733.970611,
-           11220.877593,
-           8882.19471,
-           7905.528054,
-           1920.555225,
-           2409.404716,
-           2445.407049,
-           2501.508816,
-           1479.908811,
-           1487.111928,
-           846.715614,
-           1836.477364,
-           1528.933084,
-           2090.421473,
-           2030.997275,
-           32178.137996,
-           33128.611268,
-           12795.990351,
-           11419.205109,
-           13335.344786,
-           12067.769108,
-           23191.112273,
-           24468.72048,
-           182.318781,
-           223.45704,
-           5773.585825,
-           4247.307556,
-           5124.183093,
-           5043.610536,
-           3169.165626,
-           3590.898654,
-           3288.909174,
-           4764.949606,
-           5349.042627,
-           4284.128962,
-           4505.576537,
-           4198.113201,
-           4319.771079,
-           4653.302575,
-           3367.387496,
-           11566.89429,
-           1243.155154,
-           1110.788273,
-           970.878153,
-           1239.645458,
-           17462.526858,
-           18070.699387,
-           13500.874663,
-           21823.570878,
-           19635.208952,
-           545.74738,
-           1056.646068,
-           874.522853,
-           953.377038,
-           1073.897008,
-           3349.112609,
-           3816.599071,
-           3687.975363,
-           9756.397987,
-           39080.706873,
-           39080.706873,
-           2101.20511,
-           5288.152428,
-           357.632976,
-           359.579561,
-           484.849849,
-           503.538786,
-           2518.517481,
-           11162.405683,
-           9662.952957,
-           9617.231197,
-           1893.671283,
-           2130.770952,
-           8283.613701,
-           9162.115122,
-           9134.320009,
-           9577.346691,
-           6630.623063,
-           14594.167704,
-           14690.813304,
-           3217.502248,
-           0,
-           0,
-           158.489371,
-           163.964977,
-           8866.332292,
-           8159.115947,
-           8807.404638,
-           9114.429165,
-           6190.539148,
-           171.771889,
-           0,
-           0,
-           164.859897,
-           11388.309148,
-           10463.968435,
-           10341.500199,
-           39080.706873,
-           627.077586,
-           5671.433868,
-           1685.45896,
-           18752.923121,
-           8589.104078,
-           6680.980066,
-           6488.865235,
-           7521.679664,
-           7046.014356,
-           191.113765,
-           319.687317,
-           156.950438,
-           2225.00435,
-           18297.507351,
-           225.541288,
-           2724.342608,
-           33153.569317,
-           29994.376791,
-           33061.554283,
-           335.6551,
-           520.165386,
-           258.105873,
-           212.625559,
-           27107.823646,
-           29052.207417,
-           30390.73185,
-           1255.991305,
-           11263.136572,
-           32395.182165,
-           32015.770211,
-           30664.745409,
-           39080.706873,
-           671.464938,
-           2694.17022,
-           3243.515866,
-           218.548089,
-           280.603993,
-           855.368673,
-           1088.569772,
-           6702.956042,
-           6066.355985,
-           6854.313271,
-           7288.013403,
-           2135.97204,
-           1553.657021,
-           1399.553014,
-           285.127222,
-           1376.094607,
-           551.749519,
-           10734.312264,
-           29600.381323,
-           33009.904924,
-           667.446167,
-           737.667025,
-           2404.589037,
-           2745.568997,
-           2292.232326,
-           5436.636823,
-           4754.890887,
-           5510.5987,
-           5223.183046,
-           9295.784305,
-           2556.885272,
-           2367.488453,
-           33189.47066,
-           853.726387,
-           0,
-           175.063817,
-           31543.112279,
-           32302.508299,
-           317.105956,
-           572.290092,
-           411.744382,
-           468.481131,
-           3469.712998,
-           3852.910448,
-           4062.329859,
-           4446.789064,
-           3888.317798,
-           3239.341261,
-           1450.111955,
-           1584.444976,
-           1739.029901,
-           31092.865151,
-           29447.237645,
-           28048.726038,
-           27412.588566,
-           4844.124006,
-           27075.170801,
-           3033.713518,
-           3080.134247,
-           30763.59859,
-           33047.549635,
-           3084.518261,
-           5672.728089,
-           6717.658333,
-           4627.358531,
-           4620.645169,
-           10488.136334,
-           583.562571,
-           706.343421,
-           867.811417,
-           960.19698,
-           1106.74379,
-           7385.512032,
-           7580.071122,
-           1155.013263,
-           1123.939735,
-           1306.053745,
-           19394.102548,
-           21708.69301,
-           23866.669683,
-           20659.771125,
-           10435.400548,
-           8506.953367,
-           8990.806531,
-           7894.600863,
-           7898.462834,
-           3196.98732,
-           207.511194,
-           1342.747955,
-           1277.779061,
-           1375.087613,
-           12375.356285,
-           11366.013515,
-           32201.00245,
-           206.428619,
-           18913.06314,
-           19473.77271,
-           20495.135862,
-           469.09133,
-           7377.800729,
-           4295.661846,
-           15767.981083,
-           17684.895453,
-           17231.167077,
-           17881.141502,
-           8275.478852,
-           3808.911623,
-           39080.706873,
-           32283.164533,
-           39080.706873,
-           842.906748,
-           1455.81625,
-           1583.458021,
-           1829.958154,
-           1574.891247,
-           15641.999558,
-           147.857046,
-           197.435176,
-           16652.56973,
-           786.423169,
-           352.29945,
-           330.329431,
-           531.360636,
-           726.916554,
-           6138.75971,
-           6324.451098,
-           6484.107881,
-           31459.992889,
-           39080.706873,
-           39080.706873,
-           1288.277242,
-           5200.216467,
-           5283.919962,
-           5804.284562,
-           0,
-           4279.030552,
-           0,
-           0,
-           25775.721028,
-           1170.90326,
-           6230.502429,
-           7872.681922,
-           2537.615391,
-           2212.923845,
-           13576.50164,
-           7724.313425,
-           21485.985823,
-           21298.068074,
-           428.140567,
-           400.826556,
-           331.793111,
-           388.551813,
-           12751.239999,
-           14869.714628,
-           0,
-           21458.883778,
-           19346.328032,
-           9317.618602,
-           5350.620293,
-           376.486666,
-           311.654681,
-           336.398843,
-           209.097003,
-           293.663675,
-           345.724696,
-           32037.811091,
-           31507.712292,
-           31295.393304,
-           372.135623,
-           470.184264,
-           558.100119,
-           22324.195336,
-           373.018863,
-           513.858548,
-           1721.157195,
-           666.218709,
-           39080.706873,
-           1839.438688,
-           199.857679,
-           174.504831,
-           272.405423,
-           15749.024885,
-           17496.487442,
-           16585.601395,
-           16636.201562,
-           0,
-           2100.28447,
-           11474.79039,
-           24838.952192,
-           463.096737,
-           2339.860957,
-           6173.532592,
-           611.32216,
-           16530.591089,
-           27916.788724,
-           0,
-           0,
-           207.197393,
-           1639.426936,
-           27355.806261,
-           26995.905245,
-           28511.366391,
-           983.926357,
-           14210.273267,
-           1935.540684,
-           3648.399359,
-           0,
-           0,
-           17671.52007,
-           24623.169573,
-           22036.222446,
-           24038.294338,
-           24021.202888,
-           1169.706839,
-           148.849584,
-           14269.153068,
-           26596.673947,
-           7622.540277,
-           39080.706873,
-           177.904916,
-           3199.862074,
-           8407.733198,
-           8561.556374,
-           8732.143125,
-           27622.358303,
-           26389.145904,
-           39080.706873,
-           6562.297667,
-           7379.129256,
-           2967.481252,
-           2107.468043,
-           19785.413828,
-           20953.039168,
-           2795.859236,
-           3562.699614,
-           15362.201212,
-           15464.898729,
-           39080.706873,
-           23511.759808,
-           7478.038735,
-           7150.276802,
-           23879.590146,
-           3347.579024,
-           12076.652231,
-           13698.164555,
-           8931.549878,
-           21053.092984,
-           10403.570025,
-           10616.884473,
-           0,
-           0,
-           0,
-           2361.808041,
-           1103.476378,
-           0,
-           5818.275757,
-           24214.125171,
-           6635.359748,
-           2606.015232,
-           171.936137,
-           16055.532701,
-           17612.035622,
-           23597.578067,
-           1757.991872,
-           17903.405195,
-           4681.278603,
-           4850.246942,
-           2357.36547,
-           2789.861152,
-           3516.757381,
-           10236.888837,
-           9559.775237,
-           13985.164003,
-           730.404527,
-           1345.734571,
-           3729.021544,
-           1569.157205,
-           779.73235,
-           1839.590158,
-           22168.619126,
-           20408.375319,
-           646.668956,
-           21562.278811,
-           2589.058683,
-           480.26355,
-           592.415366,
-           0,
-           188.067256,
-           3836.512775,
-           1725.625842,
-           1380.923337,
-           1399.917938,
-           6237.498796,
-           5721.453022,
-           39080.706873,
-           212.038529,
-           16382.201402,
-           5495.676534,
-           4285.908728,
-           39080.706873,
-           39080.706873,
-           39080.706873,
-           0,
-           13148.787414,
-           28118.729286,
-           3184.030732,
-           4604.699547,
-           2393.127138,
-           2675.640798,
-           2111.080138,
-           6334.316729,
-           14071.493772,
-           1203.071752,
-           282.193167,
-           39080.706873,
-           39080.706873,
-           5947.88827,
-           6583.632284,
-           21354.595532,
-           29360.713789,
-           883.99247,
-           2509.596645,
-           31465.557157,
-           39080.706873,
-           31010.773178,
-           0,
-           0,
-           0,
-           39080.706873,
-           27856.543698,
-           26377.713237,
-           279.287783,
-           2369.900188,
-           2780.982856,
-           7913.050323,
-           1956.467938,
-           17783.746012,
-           10738.206206,
-           2685.079153,
-           10790.608227,
-           5864.677666,
-           574.166931,
-           4259.243598,
-           26652.014956,
-           0,
-           0,
-           9442.740819,
-           10381.612021,
-           39080.706873,
-           476.111071,
-           0,
-           0,
-           0,
-           26608.236251,
-           174.1379,
-           0,
-           27194.642483,
-           719.662943,
-           627.427205,
-           19515.502501,
-           2875.612689,
-           2116.238956,
-           1675.281244,
-           22641.700777,
-           1469.397928,
-           3965.357246,
-           701.323369,
-           835.296288,
-           3837.824301,
-           3987.036853,
-           0,
-           0,
-           2583.086252,
-           2739.381655,
-           1531.857327,
-           1436.245221,
-           18099.296,
-           14900.854602,
-           39080.706873,
-           0,
-           1367.990745,
-           22442.848462,
-           22901.148449,
-           5078.553507,
-           5347.805452,
-           8838.30172,
-           5735.091989,
-           5471.475196,
-           1279.419824,
-           12538.31871,
-           32477.818001,
-           39080.706873,
-           2804.435878,
-           6266.276308,
-           6439.80459,
-           39080.706873,
-           2845.602368,
-           4151.775997,
-           19644.495154,
-           10682.799177,
-           7282.096179,
-           537.109338,
-           429.757827,
-           2428.465389,
-           26278.066235,
-           623.282083,
-           0,
-           447.252327,
-           8163.969048,
-           6658.188944,
-           21648.187016,
-           762.003388,
-           0,
-           754.610925,
-           5057.885795,
-           3187.533237,
-           7408.761237,
-           8708.944777,
-           1586.82541,
-           725.614148,
-           2362.431269,
-           178.793746,
-           1632.767548,
-           0,
-           6704.965994,
-           2100.184942,
-           2094.940904,
-           170.819651,
-           1913.453666,
-           857.738935,
-           2119.99269,
-           11678.045403,
-           984.866496,
-           8241.466013,
-           11419.897505,
-           2670.023256,
-           4414.899186,
-           2306.774209,
-           5879.33931,
-           12490.313327,
-           6143.441017,
-           13407.595289,
-           905.529349,
-           19513.576088
-          ],
-          "colorbar": {
-           "thickness": 20,
-           "title": {
-            "text": "A"
-           }
-          },
-          "colorscale": [
-           [
-            0,
-            "#0508b8"
-           ],
-           [
-            0.08333333333333333,
-            "#1910d8"
-           ],
-           [
-            0.16666666666666666,
-            "#3c19f0"
-           ],
-           [
-            0.25,
-            "#6b1cfb"
-           ],
-           [
-            0.3333333333333333,
-            "#981cfd"
-           ],
-           [
-            0.4166666666666667,
-            "#bf1cfd"
-           ],
-           [
-            0.5,
-            "#dd2bfd"
-           ],
-           [
-            0.5833333333333334,
-            "#f246fe"
-           ],
-           [
-            0.6666666666666666,
-            "#fc67fd"
-           ],
-           [
-            0.75,
-            "#fe88fc"
-           ],
-           [
-            0.8333333333333334,
-            "#fea5fd"
-           ],
-           [
-            0.9166666666666666,
-            "#febefe"
-           ],
-           [
-            1,
-            "#fec3fe"
-           ]
-          ],
-          "size": 5
-         },
-         "mode": "markers",
-         "name": "A",
-         "type": "scatter3d",
-         "x": [
-          -2.101682662963867,
-          -1.887513518333435,
-          -1.7570427656173706,
-          -1.8541388511657715,
-          1.8749754428863525,
-          1.80832040309906,
-          2.1825294494628906,
-          2.062222480773926,
-          -2.38004469871521,
-          -2.3056769371032715,
-          -2.2629430294036865,
-          -2.0936312675476074,
-          -1.9997928142547607,
-          -1.7547287940979004,
-          -1.6898266077041626,
-          -1.6704288721084595,
-          3.5905017852783203,
-          3.2578799724578857,
-          3.160881519317627,
-          3.4964303970336914,
-          -0.6913178563117981,
-          -1.0443613529205322,
-          -0.8108569979667664,
-          -0.5850074887275696,
-          -0.293684720993042,
-          0.0675533190369606,
-          -0.271133154630661,
-          0.018742907792329788,
-          4.4305853843688965,
-          4.508673667907715,
-          4.325611114501953,
-          4.611989498138428,
-          3.4338648319244385,
-          3.488844871520996,
-          3.289395570755005,
-          3.6204428672790527,
-          3.71138858795166,
-          3.857684850692749,
-          3.974630117416382,
-          4.003854274749756,
-          -3.9132473468780518,
-          -4.0064496994018555,
-          -3.8273096084594727,
-          -3.709832191467285,
-          2.3001842498779297,
-          2.2914557456970215,
-          2.0052285194396973,
-          2.2628118991851807,
-          -1.980513334274292,
-          -2.0251479148864746,
-          -1.7515032291412354,
-          -2.1317431926727295,
-          3.794757843017578,
-          3.3874454498291016,
-          3.7147281169891357,
-          3.586693048477173,
-          -2.8868887424468994,
-          -3.001088857650757,
-          -2.9482247829437256,
-          -2.6325371265411377,
-          -4.134808540344238,
-          -3.772261619567871,
-          -4.165527820587158,
-          -3.994203805923462,
-          -4.163450241088867,
-          3.875136137008667,
-          3.7112133502960205,
-          3.765407085418701,
-          -2.4520857334136963,
-          -2.657001495361328,
-          -2.6662352085113525,
-          -2.8774945735931396,
-          3.942436933517456,
-          3.8352348804473877,
-          3.6082088947296143,
-          4.133811950683594,
-          -3.171978712081909,
-          -3.221795082092285,
-          -3.0311388969421387,
-          -2.9480156898498535,
-          4.4702277183532715,
-          4.6418352127075195,
-          4.766424655914307,
-          4.669127941131592,
-          -3.4734950065612793,
-          -3.1584713459014893,
-          -3.2440361976623535,
-          -3.3585245609283447,
-          -2.429314613342285,
-          -2.2996301651000977,
-          -2.1834332942962646,
-          -1.2482850551605225,
-          -0.8828672766685486,
-          -0.8636268973350525,
-          4.625131607055664,
-          5,
-          4.731442928314209,
-          4.639413356781006,
-          2.726271152496338,
-          2.482100486755371,
-          2.630417823791504,
-          2.613208293914795,
-          2.359410285949707,
-          2.4850215911865234,
-          2.0713677406311035,
-          2.9034955501556396,
-          3.2096197605133057,
-          3.0044784545898438,
-          3.031195640563965,
-          2.8652327060699463,
-          3.303494453430176,
-          -0.9179192781448364,
-          -1.1669803857803345,
-          -1.2644528150558472,
-          -1.0285327434539795,
-          -0.8682996034622192,
-          -1.0111645460128784,
-          -1.1425732374191284,
-          -0.9068978428840637,
-          1.6444306373596191,
-          1.5535091161727905,
-          1.877994418144226,
-          -4.233823299407959,
-          -4.286869049072266,
-          -4.4695281982421875,
-          -4.121842384338379,
-          -1.4972978830337524,
-          -0.9989351034164429,
-          -1.422027349472046,
-          -1.2346546649932861,
-          -2.2228097915649414,
-          -2.000976085662842,
-          -2.127882480621338,
-          -4.581174373626709,
-          -4.083948135375977,
-          2.5844061374664307,
-          2.6696746349334717,
-          2.439190149307251,
-          2.836972236633301,
-          3.768427848815918,
-          3.901214361190796,
-          4.03761625289917,
-          3.712953805923462,
-          3.7559714317321777,
-          3.856983184814453,
-          4.166917324066162,
-          -2.2912299633026123,
-          -2.089019775390625,
-          -1.982771635055542,
-          0.2804890275001526,
-          0.14649292826652527,
-          -0.02719704993069172,
-          0.35809698700904846,
-          -0.09706947952508926,
-          -0.06142881140112877,
-          -0.6113005876541138,
-          -0.263994425535202,
-          4.316342830657959,
-          4.358631610870361,
-          4.577394962310791,
-          4.1251115798950195,
-          2.637986421585083,
-          2.9547457695007324,
-          2.78865909576416,
-          1.622883915901184,
-          1.6951839923858643,
-          1.6690202951431274,
-          1.4459738731384277,
-          5,
-          1.4305493831634521,
-          1.2514207363128662,
-          1.230926275253296,
-          1.0252352952957153,
-          1.0430431365966797,
-          1.0417221784591675,
-          1.277311086654663,
-          0.8228275179862976,
-          -2.6111531257629395,
-          -0.8876737952232361,
-          -0.6530675888061523,
-          -0.8721553087234497,
-          -1.1404987573623657,
-          -3.7799670696258545,
-          -3.7419769763946533,
-          -3.7747626304626465,
-          -3.765298843383789,
-          -1.3552204370498657,
-          -1.448533058166504,
-          1.976080060005188,
-          2.3143045902252197,
-          2.006865978240967,
-          4.718459129333496,
-          5,
-          5,
-          5,
-          -0.21346406638622284,
-          -0.3900603652000427,
-          -0.7078602910041809,
-          2.546725273132324,
-          2.2419445514678955,
-          2.62286114692688,
-          2.31475830078125,
-          2.815099000930786,
-          0.17036111652851105,
-          0.35399267077445984,
-          0.22068481147289276,
-          0.5616357326507568,
-          2.168175220489502,
-          2.396758794784546,
-          2.032904624938965,
-          1.9458956718444824,
-          1.672920823097229,
-          -1.9237370491027832,
-          -1.7913600206375122,
-          -2.1189286708831787,
-          -4.244471549987793,
-          -4.725438117980957,
-          -4.62848424911499,
-          -4.6635870933532715,
-          -4.4014410972595215,
-          -0.39015352725982666,
-          -3.62326979637146,
-          -3.6562275886535645,
-          -3.3212900161743164,
-          -2.650617837905884,
-          -2.9336674213409424,
-          -2.5238282680511475,
-          -2.854623556137085,
-          3.359579563140869,
-          3.281346321105957,
-          3.4625306129455566,
-          -1.6233601570129395,
-          -1.4790972471237183,
-          3.500380516052246,
-          4.63165283203125,
-          4.554935932159424,
-          4.720632076263428,
-          -0.6211792826652527,
-          -0.9868704080581665,
-          -0.2744942903518677,
-          -0.23266896605491638,
-          -0.4965898394584656,
-          -0.32649561762809753,
-          -1.423138976097107,
-          -1.7905021905899048,
-          -1.4218405485153198,
-          -3.732257604598999,
-          -3.5719547271728516,
-          -3.941251754760742,
-          -3.9911673069000244,
-          2.76228666305542,
-          3.034092664718628,
-          2.5956602096557617,
-          3.0007383823394775,
-          -2.4493157863616943,
-          1.5511066913604736,
-          1.313583254814148,
-          0.09208802133798599,
-          0.2716134786605835,
-          0.33897581696510315,
-          -2.9448187351226807,
-          -3.1763267517089844,
-          -2.965965747833252,
-          2.055418014526367,
-          1.7646766901016235,
-          2.0915160179138184,
-          1.9841140508651733,
-          0.7309734225273132,
-          0.8535610437393188,
-          1.1015901565551758,
-          1.1043431758880615,
-          -3.231236696243286,
-          -3.466428518295288,
-          -3.2163987159729004,
-          1.5548237562179565,
-          -2.620222806930542,
-          -2.8454513549804688,
-          -2.381518602371216,
-          -1.7730915546417236,
-          -2.034778118133545,
-          -1.792545199394226,
-          0.23506808280944824,
-          0.15298357605934143,
-          -0.12086783349514008,
-          -0.0009967255173251033,
-          3.0469939708709717,
-          3.3803346157073975,
-          3.5396389961242676,
-          3.4276304244995117,
-          -3.4141626358032227,
-          -3.28906512260437,
-          -3.1413207054138184,
-          -2.9626805782318115,
-          -3.5331058502197266,
-          -2.7990610599517822,
-          -2.5825302600860596,
-          1.0379852056503296,
-          1.3705062866210938,
-          1.090142846107483,
-          1.1630381345748901,
-          -0.7285075783729553,
-          -0.5913762450218201,
-          -0.41392114758491516,
-          0.37851566076278687,
-          0.2083987444639206,
-          0.536102294921875,
-          4.585145950317383,
-          4.314233303070068,
-          4.690446853637695,
-          4.508464336395264,
-          0.5570757389068604,
-          0.7471429109573364,
-          0.8703640103340149,
-          0.735404372215271,
-          1.950286626815796,
-          -2.459625482559204,
-          -2.3318281173706055,
-          -4.318643569946289,
-          -2.7759718894958496,
-          -2.491568088531494,
-          -2.487426280975342,
-          3.034865140914917,
-          1.392642855644226,
-          3.841580390930176,
-          -1.7278932332992554,
-          -1.9114822149276733,
-          -1.5143166780471802,
-          -1.7121433019638062,
-          4.3564581871032715,
-          4.085196018218994,
-          4.489546298980713,
-          0.03738686069846153,
-          0.4072064459323883,
-          0.3515777885913849,
-          4.740171909332275,
-          5,
-          5,
-          -3.7102108001708984,
-          -3.5805227756500244,
-          -3.250467300415039,
-          -3.6381490230560303,
-          -5,
-          -4.672852039337158,
-          -5,
-          -5,
-          3.9007976055145264,
-          4.133395671844482,
-          4.175212860107422,
-          4.236222267150879,
-          1.3414992094039917,
-          1.545016884803772,
-          1.7293202877044678,
-          1.7089415788650513,
-          1.5792618989944458,
-          1.938088297843933,
-          -4.447057247161865,
-          -4.589023590087891,
-          -4.721797943115234,
-          -5,
-          -4.662319183349609,
-          -4.697544574737549,
-          -4.536230564117432,
-          5,
-          5,
-          5,
-          2.2066378593444824,
-          1.9319493770599365,
-          2.258507013320923,
-          2.2539353370666504,
-          2.732060194015503,
-          -2.9786436557769775,
-          -2.8140065670013428,
-          -2.7915046215057373,
-          -2.627666711807251,
-          0.9115676283836365,
-          -0.532065212726593,
-          -0.5675407648086548,
-          -0.5571060180664062,
-          -2.564318895339966,
-          -4.4288010597229,
-          -4.226881980895996,
-          -4.208695411682129,
-          -4.0041913986206055,
-          -4.3078436851501465,
-          -4.320655345916748,
-          2.809098720550537,
-          2.785369634628296,
-          5,
-          4.710524559020996,
-          5,
-          5,
-          -4.560494422912598,
-          -4.414031982421875,
-          -4.710155963897705,
-          0.027450760826468468,
-          -0.09511373937129974,
-          0.3111163377761841,
-          4.47791862487793,
-          4.311753749847412,
-          2.278442859649658,
-          2.3220880031585693,
-          1.0773473978042603,
-          0.6730288863182068,
-          1.7689932584762573,
-          1.6555397510528564,
-          1.9800528287887573,
-          2.0714244842529297,
-          -0.6446894407272339,
-          -0.43192827701568604,
-          -3.7548670768737793,
-          -3.300417423248291,
-          -1.1125221252441406,
-          -0.6115882396697998,
-          -2.978154420852661,
-          -3.3732173442840576,
-          -3.242103338241577,
-          1.2596628665924072,
-          -3.6130688190460205,
-          -3.133923292160034,
-          -3.3986732959747314,
-          -3.5859854221343994,
-          -3.520331621170044,
-          -3.851719617843628,
-          -3.865055561065674,
-          0.5590431690216064,
-          0.6265019774436951,
-          -0.03324676677584648,
-          2.4285573959350586,
-          2.5746889114379883,
-          2.7181601524353027,
-          2.378453016281128,
-          3.447817087173462,
-          2.445730209350586,
-          2.310244083404541,
-          2.6667962074279785,
-          -4.695241928100586,
-          -5,
-          -4.548861980438232,
-          -0.33884161710739136,
-          -0.5452479720115662,
-          -0.44265344738960266,
-          -1.2199991941452026,
-          -1.154729962348938,
-          -0.9447287917137146,
-          -0.8053910136222839,
-          3.9948537349700928,
-          3.997985601425171,
-          4.207438945770264,
-          2.2636070251464844,
-          2.816199541091919,
-          3.2298614978790283,
-          3.0754427909851074,
-          3.1898257732391357,
-          -2.0362820625305176,
-          -1.695935845375061,
-          -2.8119935989379883,
-          -2.5727436542510986,
-          3.0221409797668457,
-          3.255614995956421,
-          3.368884563446045,
-          3.2635715007781982,
-          4.541206359863281,
-          3.801682472229004,
-          4.062766075134277,
-          3.6565608978271484,
-          2.893397092819214,
-          3.020784378051758,
-          2.637270450592041,
-          2.978060007095337,
-          0.706810474395752,
-          0.7772684097290039,
-          0.8003952503204346,
-          -0.22241777181625366,
-          -0.1280590295791626,
-          -2.9058010578155518,
-          -0.3929927349090576,
-          -1.6517680883407593,
-          4.374144554138184,
-          4.208742141723633,
-          1.0169200897216797,
-          0.6947392225265503,
-          0.6771532297134399,
-          -4.339812278747559,
-          3.8944802284240723,
-          3.9562127590179443,
-          2.033257246017456,
-          1.9155778884887695,
-          1.3438067436218262,
-          1.0825568437576294,
-          -1.7339566946029663,
-          -1.3611284494400024,
-          -1.3337901830673218,
-          -1.2508692741394043,
-          -2.2653911113739014,
-          -2.2419567108154297,
-          -3.1367833614349365,
-          -1.81843900680542,
-          -2.1527793407440186,
-          -1.6042685508728027,
-          -1.647326946258545,
-          4.628890037536621,
-          4.72548246383667,
-          2.286425828933716,
-          1.9910200834274292,
-          2.3555381298065186,
-          2.0931544303894043,
-          3.7614736557006836,
-          3.912747859954834,
-          -4.636204242706299,
-          -4.488008499145508,
-          0.4070380926132202,
-          -0.13350971043109894,
-          0.19662299752235413,
-          0.13111887872219086,
-          -0.7308740019798279,
-          -0.5450983643531799,
-          -0.6622709035873413,
-          0.003929497674107552,
-          0.24031925201416016,
-          -0.22965681552886963,
-          -0.0660269558429718,
-          -0.17119362950325012,
-          -0.18464888632297516,
-          -0.0036181053146719933,
-          -0.7095974087715149,
-          1.9864104986190796,
-          -2.5475826263427734,
-          -2.7074756622314453,
-          -2.891202926635742,
-          -2.509110927581787,
-          2.9578778743743896,
-          3.029849052429199,
-          2.3168818950653076,
-          3.536309242248535,
-          3.2530806064605713,
-          -3.741461992263794,
-          -2.821955680847168,
-          -3.082059383392334,
-          -2.9099485874176025,
-          -2.7286927700042725,
-          -0.6247063279151917,
-          -0.3622240722179413,
-          -0.4216044247150421,
-          1.6000310182571411,
-          5,
-          5,
-          -1.6445059776306152,
-          0.2146318256855011,
-          -4.1633453369140625,
-          -4.1257829666137695,
-          -3.817925214767456,
-          -3.784167766571045,
-          -1.2936067581176758,
-          1.8930131196975708,
-          1.5624295473098755,
-          1.5452696084976196,
-          -1.8079805374145508,
-          -1.6008325815200806,
-          1.2422401905059814,
-          1.4802297353744507,
-          1.4433354139328003,
-          1.5805444717407227,
-          0.7913298010826111,
-          2.578340768814087,
-          2.6075079441070557,
-          -0.813774585723877,
-          -5,
-          -5,
-          -4.7412261962890625,
-          -4.72172212600708,
-          1.3737642765045166,
-          1.2108287811279297,
-          1.3925875425338745,
-          1.4203695058822632,
-          0.5987880825996399,
-          -4.71983003616333,
-          -5,
-          -5,
-          -4.692821025848389,
-          1.909011960029602,
-          1.7303102016448975,
-          1.6846473217010498,
-          5,
-          -3.5527470111846924,
-          0.37845441699028015,
-          -1.9841102361679077,
-          3.145871162414551,
-          1.289706826210022,
-          0.7273845076560974,
-          0.720970630645752,
-          1.0219862461090088,
-          0.8861194849014282,
-          -4.596095085144043,
-          -4.253779888153076,
-          -4.743481159210205,
-          -1.5359901189804077,
-          3.121032953262329,
-          -4.488008499145508,
-          -1.1460216045379639,
-          4.6934332847595215,
-          4.375402450561523,
-          4.680056095123291,
-          -4.230134010314941,
-          -3.7863848209381104,
-          -4.4221673011779785,
-          -4.591073989868164,
-          4.1638264656066895,
-          4.340243339538574,
-          4.488320350646973,
-          -2.5075998306274414,
-          1.917682409286499,
-          4.661116600036621,
-          4.636397361755371,
-          4.488320350646973,
-          5,
-          -3.489121437072754,
-          -1.138638973236084,
-          -0.7274905443191528,
-          -4.574654579162598,
-          -4.382515907287598,
-          -3.1639509201049805,
-          -2.7766637802124023,
-          0.7139411568641663,
-          0.4993683397769928,
-          0.7703021764755249,
-          0.901824951171875,
-          -1.5355284214019775,
-          -2.1874425411224365,
-          -2.3504247665405273,
-          -4.327395915985107,
-          -2.3662376403808594,
-          -3.6765761375427246,
-          1.808962345123291,
-          4.351280689239502,
-          4.706614017486572,
-          -3.448230266571045,
-          -3.3269059658050537,
-          -1.3753197193145752,
-          -1.1046783924102783,
-          -1.4444420337677002,
-          0.29257264733314514,
-          0.009619895368814468,
-          0.32545214891433716,
-          0.23237977921962738,
-          1.4445356130599976,
-          -1.2714718580245972,
-          -1.4109042882919312,
-          4.735227108001709,
-          -3.157381772994995,
-          -5,
-          -4.624974727630615,
-          4.58084774017334,
-          4.646906852722168,
-          -4.253415107727051,
-          -3.6714272499084473,
-          -4.048503875732422,
-          -3.91367769241333,
-          -0.662963330745697,
-          -0.45707225799560547,
-          -0.3023490607738495,
-          -0.10872425138950348,
-          -0.40253975987434387,
-          -0.7720760107040405,
-          -2.228641986846924,
-          -2.0955162048339844,
-          -1.9311330318450928,
-          4.527668476104736,
-          4.4020185470581055,
-          4.253148078918457,
-          4.159819602966309,
-          0.06420236825942993,
-          4.135446548461914,
-          -0.9258043766021729,
-          -0.8058002591133118,
-          4.537054061889648,
-          4.744240760803223,
-          -0.8789688944816589,
-          0.3651331961154938,
-          0.7293714880943298,
-          -0.06956324726343155,
-          -0.08140537887811661,
-          1.721306324005127,
-          -3.6552634239196777,
-          -3.3976213932037354,
-          -3.114668607711792,
-          -2.9648706912994385,
-          -2.7460291385650635,
-          0.9609786868095398,
-          1.0764851570129395,
-          -2.625852346420288,
-          -2.673210859298706,
-          -2.3928139209747314,
-          3.227536678314209,
-          3.531540632247925,
-          3.7912299633026123,
-          3.446416139602661,
-          1.760624647140503,
-          1.2702659368515015,
-          1.4204895496368408,
-          1.1356712579727173,
-          1.1212012767791748,
-          -0.7966426014900208,
-          -4.596960067749023,
-          -2.358410358428955,
-          -2.481785297393799,
-          -2.317129611968994,
-          2.1517908573150635,
-          1.9424786567687988,
-          4.65165901184082,
-          -4.577237129211426,
-          3.162456750869751,
-          3.290433168411255,
-          3.418100118637085,
-          -3.9114646911621094,
-          0.9896045327186584,
-          -0.19112993776798248,
-          2.6939661502838135,
-          3.0167806148529053,
-          2.893794298171997,
-          3.0206243991851807,
-          1.2407162189483643,
-          -0.46050986647605896,
-          5,
-          4.663840293884277,
-          5,
-          -3.103480339050293,
-          -2.277939558029175,
-          -2.125932216644287,
-          -1.824216604232788,
-          -2.0925588607788086,
-          2.68068528175354,
-          -4.7859697341918945,
-          -4.575015544891357,
-          2.8520922660827637,
-          -3.2595419883728027,
-          -4.203586101531982,
-          -4.2565202713012695,
-          -3.767660140991211,
-          -3.32572078704834,
-          0.5733931660652161,
-          0.5859797596931458,
-          0.6658535599708557,
-          4.556863307952881,
-          5,
-          5,
-          -2.477255344390869,
-          0.25908347964286804,
-          0.25868678092956543,
-          0.49322885274887085,
-          -5,
-          -0.1877877414226532,
-          -5,
-          -5,
-          3.983049154281616,
-          -2.6407032012939453,
-          0.5915303230285645,
-          1.0867373943328857,
-          -1.214605450630188,
-          -1.4895960092544556,
-          2.3244974613189697,
-          1.0752484798431396,
-          3.5134105682373047,
-          3.492990732192993,
-          -4.003303050994873,
-          -4.055683612823486,
-          -4.244694709777832,
-          -4.091361999511719,
-          2.220043897628784,
-          2.544774293899536,
-          -5,
-          3.5021090507507324,
-          3.226494312286377,
-          1.4538578987121582,
-          0.25620901584625244,
-          -4.075596809387207,
-          -4.281928539276123,
-          -4.1883087158203125,
-          -4.555990695953369,
-          -4.334146976470947,
-          -4.165266990661621,
-          4.628626346588135,
-          4.596282482147217,
-          4.575169086456299,
-          -4.123189449310303,
-          -3.8626294136047363,
-          -3.69762921333313,
-          3.6556200981140137,
-          -4.1212477684021,
-          -3.785296678543091,
-          -1.9285658597946167,
-          -3.4919838905334473,
-          5,
-          -1.8179099559783936,
-          -4.580845355987549,
-          -4.697874546051025,
-          -4.374136447906494,
-          2.7386975288391113,
-          3.034958839416504,
-          2.8929836750030518,
-          2.8669273853302,
-          -5,
-          -1.5589079856872559,
-          1.9696201086044312,
-          3.9466171264648438,
-          -3.894467353820801,
-          -1.4353413581848145,
-          0.6438999772071838,
-          -3.559412717819214,
-          2.898449182510376,
-          4.226627349853516,
-          -5,
-          -5,
-          -4.580845355987549,
-          -2.0328192710876465,
-          4.1754069328308105,
-          4.199225902557373,
-          4.34015417098999,
-          -2.9041290283203125,
-          2.497323513031006,
-          -1.7650561332702637,
-          -0.5644856095314026,
-          -5,
-          -5,
-          3.0372588634490967,
-          3.8829185962677,
-          3.6070923805236816,
-          3.8541207313537598,
-          3.8192059993743896,
-          -2.6382784843444824,
-          -4.700376033782959,
-          2.501884937286377,
-          4.065597057342529,
-          1.0171412229537964,
-          5,
-          -4.651655673980713,
-          -0.8031032681465149,
-          1.2622673511505127,
-          1.2936519384384155,
-          1.369748592376709,
-          4.189074516296387,
-          4.076688766479492,
-          5,
-          0.7270625233650208,
-          0.995764970779419,
-          -0.8975422382354736,
-          -1.5903971195220947,
-          3.329392194747925,
-          3.4523019790649414,
-          -1.0810967683792114,
-          -0.5812257528305054,
-          2.644548177719116,
-          2.6585214138031006,
-          5,
-          3.7732388973236084,
-          0.9950934052467346,
-          0.8841180801391602,
-          3.8183670043945312,
-          -0.6460126042366028,
-          2.1103804111480713,
-          2.3608930110931396,
-          1.3835891485214233,
-          3.4795989990234375,
-          1.769286036491394,
-          1.7716087102890015,
-          -5,
-          -5,
-          -5,
-          -1.426405906677246,
-          -2.7312746047973633,
-          -5,
-          0.47139957547187805,
-          3.8471028804779053,
-          0.7896639108657837,
-          -1.2268297672271729,
-          -4.720064640045166,
-          2.7558088302612305,
-          3.023494243621826,
-          3.7829294204711914,
-          -1.891106128692627,
-          3.048088550567627,
-          0.008336871862411499,
-          0.07599930465221405,
-          -1.3721232414245605,
-          -1.032981276512146,
-          -0.6021665930747986,
-          1.735460877418518,
-          1.5383501052856445,
-          2.478435516357422,
-          -3.304556131362915,
-          -2.378432035446167,
-          -0.4857358932495117,
-          -2.097623586654663,
-          -3.2147445678710938,
-          -1.8128300905227661,
-          3.589271306991577,
-          3.373690366744995,
-          -3.5193681716918945,
-          3.53788161277771,
-          -1.1633410453796387,
-          -3.841488838195801,
-          -3.562544822692871,
-          -5,
-          -4.628747463226318,
-          -0.3776344060897827,
-          -1.9576623439788818,
-          -2.3299407958984375,
-          -2.3134829998016357,
-          0.5879091620445251,
-          0.39716675877571106,
-          5,
-          -4.527527809143066,
-          2.8390586376190186,
-          0.3319953382015228,
-          -0.2031165361404419,
-          5,
-          5,
-          5,
-          -5,
-          2.2759742736816406,
-          4.30157470703125,
-          -0.7995855808258057,
-          -0.05464247241616249,
-          -1.3260889053344727,
-          -1.0919172763824463,
-          -1.5666868686676025,
-          0.6270329356193542,
-          2.468057155609131,
-          -2.5841712951660156,
-          -4.339723110198975,
-          5,
-          5,
-          0.5067524909973145,
-          0.7723978161811829,
-          3.510948657989502,
-          4.363494873046875,
-          -3.0252578258514404,
-          -1.2719022035598755,
-          4.58084774017334,
-          5,
-          4.526966571807861,
-          -5,
-          -5,
-          -5,
-          5,
-          4.227243900299072,
-          4.085610389709473,
-          -4.363025188446045,
-          -1.356877088546753,
-          -1.0370725393295288,
-          1.1098798513412476,
-          -1.7669402360916138,
-          3.0309200286865234,
-          1.8378273248672485,
-          -1.0789508819580078,
-          1.8391550779342651,
-          0.4916764497756958,
-          -3.601686716079712,
-          -0.24966329336166382,
-          4.12544059753418,
-          -5,
-          -5,
-          1.536503791809082,
-          1.7359037399291992,
-          5,
-          -3.840538263320923,
-          -5,
-          -5,
-          -5,
-          4.124938011169434,
-          -4.646697998046875,
-          -5,
-          4.167131423950195,
-          -3.3831329345703125,
-          -3.5020036697387695,
-          3.266669988632202,
-          -0.9436191916465759,
-          -1.5299025774002075,
-          -1.982384204864502,
-          3.6774818897247314,
-          -2.2120511531829834,
-          -0.3448413610458374,
-          -3.386986017227173,
-          -3.1074790954589844,
-          -0.4411892294883728,
-          -0.3736647963523865,
-          -5,
-          -5,
-          -1.2011436223983765,
-          -1.1121392250061035,
-          -2.1613833904266357,
-          -2.2924811840057373,
-          3.104656934738159,
-          2.610442638397217,
-          5,
-          -5,
-          -2.3681676387786865,
-          3.672323226928711,
-          3.7326676845550537,
-          0.1613098382949829,
-          0.2413194328546524,
-          1.3728821277618408,
-          0.4339759051799774,
-          0.35695144534111023,
-          -2.493479013442993,
-          2.1896910667419434,
-          4.700502395629883,
-          5,
-          -1.016597032546997,
-          0.6210448145866394,
-          0.6637445688247681,
-          5,
-          -1.0216628313064575,
-          -0.23358485102653503,
-          3.3018922805786133,
-          1.8105369806289673,
-          0.955568790435791,
-          -3.7231528759002686,
-          -3.9804978370666504,
-          -1.2900493144989014,
-          4.1124267578125,
-          -3.540820360183716,
-          -5,
-          -3.8975656032562256,
-          1.2156816720962524,
-          0.7590240836143494,
-          3.5594608783721924,
-          -3.283069372177124,
-          -5,
-          -3.2769768238067627,
-          0.1670776754617691,
-          -0.7176233530044556,
-          0.9799598455429077,
-          1.3872452974319458,
-          -2.0572428703308105,
-          -3.3091535568237305,
-          -1.3487980365753174,
-          -4.625357627868652,
-          -2.012728691101074,
-          -5,
-          0.8194661736488342,
-          -1.579920768737793,
-          -1.5731505155563354,
-          -4.639402389526367,
-          -1.7494895458221436,
-          -3.0217342376708984,
-          -1.5556175708770752,
-          2.022423028945923,
-          -2.8629543781280518,
-          1.2468470335006714,
-          1.9912384748458862,
-          -1.0789836645126343,
-          -0.08867280930280685,
-          -1.3601857423782349,
-          0.519882321357727,
-          2.222944498062134,
-          0.5680000185966492,
-          2.373995542526245,
-          -2.9980807304382324,
-          3.2855708599090576
-         ],
-         "y": [
-          -0.9644528031349182,
-          -0.5014916062355042,
-          -0.9228641390800476,
-          -0.9955595135688782,
-          0.2492223083972931,
-          0.057115908712148666,
-          -0.16631139814853668,
-          -0.06584170460700989,
-          0.10396039485931396,
-          -0.31133314967155457,
-          -0.041115161031484604,
-          -0.04820563644170761,
-          -0.949433445930481,
-          -0.8801339268684387,
-          -0.5981799364089966,
-          -0.9736314415931702,
-          -0.43101099133491516,
-          -0.4243756830692291,
-          -0.4731490910053253,
-          -0.6577183604240417,
-          0.2146396040916443,
-          0.5974391102790833,
-          0.2125028818845749,
-          0.43337777256965637,
-          0.4884589910507202,
-          0.6967326402664185,
-          0.6029126048088074,
-          0.23680882155895233,
-          0.6917465329170227,
-          0.4850515127182007,
-          0.18376414477825165,
-          0.48162636160850525,
-          -0.6320042610168457,
-          -0.7730603814125061,
-          -0.9154437184333801,
-          -0.9334678649902344,
-          -0.937618613243103,
-          -0.6324880123138428,
-          -0.9645949602127075,
-          -0.8584909439086914,
-          -0.021662965416908264,
-          -0.19917190074920654,
-          -0.40617337822914124,
-          0.01375947892665863,
-          0.6443992257118225,
-          0.2646108865737915,
-          0.3110242187976837,
-          0.4987179636955261,
-          0.2822154462337494,
-          0.22283178567886353,
-          0.3027957081794739,
-          0.48568424582481384,
-          -0.004136862698942423,
-          0.24444110691547394,
-          0.3975219428539276,
-          0.06679671257734299,
-          0.3392251133918762,
-          0.4178438186645508,
-          0.0005444167763926089,
-          0.26371410489082336,
-          0.6860716342926025,
-          0.5389652252197266,
-          0.2810700237751007,
-          0.29595068097114563,
-          -0.0028515858575701714,
-          -0.914943516254425,
-          -0.8317362070083618,
-          -0.5160342454910278,
-          0.1723458170890808,
-          -0.24010129272937775,
-          0.11037452518939972,
-          -0.04924260079860687,
-          0.9950059056282043,
-          0.5880264043807983,
-          0.590488612651825,
-          0.6281570792198181,
-          -0.1020033061504364,
-          0.12514355778694153,
-          0.26880502700805664,
-          -0.06841706484556198,
-          0.07446050643920898,
-          -0.19104579091072083,
-          0.17392556369304657,
-          -0.010952293872833252,
-          0.8551027774810791,
-          0.8424614071846008,
-          0.4966377019882202,
-          0.9818977117538452,
-          -0.7847625613212585,
-          -0.3964613676071167,
-          -0.7274291515350342,
-          0.9931104183197021,
-          0.990178644657135,
-          0.9477092027664185,
-          -0.7309668660163879,
-          -0.8255475759506226,
-          -0.5082603693008423,
-          -0.8930004835128784,
-          0.4194926917552948,
-          0.20234280824661255,
-          0.382354199886322,
-          0.04821555316448212,
-          -0.22185000777244568,
-          -0.2684493958950043,
-          -0.2542339563369751,
-          -0.6113150715827942,
-          -0.749304473400116,
-          0.9967495203018188,
-          0.6226924657821655,
-          0.9509856700897217,
-          0.9614278674125671,
-          -0.5285993218421936,
-          -0.26093634963035583,
-          -0.44633013010025024,
-          -0.7162333726882935,
-          0.37243372201919556,
-          0.7037805914878845,
-          0.5981281399726868,
-          0.8595001101493835,
-          -0.2422453761100769,
-          -0.2717275023460388,
-          -0.342314749956131,
-          -0.36787569522857666,
-          -0.0067490083165466785,
-          -0.12062981724739075,
-          -0.10932574421167374,
-          0.7730425596237183,
-          0.7197641730308533,
-          0.5498804450035095,
-          0.8838788866996765,
-          -0.4682152271270752,
-          -0.8429638743400574,
-          -0.7152993083000183,
-          0.16587448120117188,
-          0.17635276913642883,
-          0.4282841980457306,
-          -0.06333015114068985,
-          0.0034832851961255074,
-          0.09057462960481644,
-          -0.7059872150421143,
-          -0.3774401545524597,
-          -0.6989597082138062,
-          -0.5003755688667297,
-          0.7566817402839661,
-          0.44234010577201843,
-          0.45263102650642395,
-          0.5166338682174683,
-          0.16024252772331238,
-          0.5950716137886047,
-          -0.18073487281799316,
-          0.0018878098344430327,
-          -0.2708609104156494,
-          -0.25196877121925354,
-          -0.11142797023057938,
-          -0.43370550870895386,
-          -0.15656259655952454,
-          -0.039399806410074234,
-          0.46687936782836914,
-          0.32242169976234436,
-          0.6205798983573914,
-          0.6568413972854614,
-          0.2932124137878418,
-          0.286562442779541,
-          0.5216072797775269,
-          -0.9623097777366638,
-          -0.9981469511985779,
-          -0.6364484429359436,
-          -0.9993236660957336,
-          -0.07432012259960175,
-          0.42001017928123474,
-          0.34383609890937805,
-          -0.08206897974014282,
-          0.17495545744895935,
-          -0.6187282204627991,
-          -0.17506438493728638,
-          -0.16744637489318848,
-          -0.3097870349884033,
-          -0.4293544590473175,
-          -0.34442025423049927,
-          -0.08278083801269531,
-          0.040901072323322296,
-          -0.20948979258537292,
-          -0.8171733617782593,
-          -0.6349214315414429,
-          -0.63686603307724,
-          -0.34542766213417053,
-          0.9818851351737976,
-          0.7231388688087463,
-          -0.4980590343475342,
-          -0.5276463031768799,
-          -0.6645891070365906,
-          0.6138550639152527,
-          0.7307949662208557,
-          0.565581202507019,
-          0.8974766731262207,
-          0.2210589051246643,
-          -0.04366305470466614,
-          0.2200208306312561,
-          0.9976720213890076,
-          0.9910743236541748,
-          0.04993176832795143,
-          0.2965986132621765,
-          0.3659362196922302,
-          -0.6525683999061584,
-          -0.4112653136253357,
-          -0.9211462140083313,
-          -0.8424838185310364,
-          -0.9637735486030579,
-          -0.9835269451141357,
-          -0.9970294237136841,
-          -0.9710226655006409,
-          -0.9704429507255554,
-          -0.000344896805472672,
-          0.21921929717063904,
-          -0.13210053741931915,
-          0.1057116687297821,
-          -0.5773980617523193,
-          -0.8491992354393005,
-          -0.9644528031349182,
-          -0.9644528031349182,
-          0.18421055376529694,
-          -0.34306600689888,
-          -0.6099089980125427,
-          -0.522908627986908,
-          0.5520397424697876,
-          0.6777611374855042,
-          0.7900189757347107,
-          0.8836524486541748,
-          0.998988151550293,
-          0.6972864270210266,
-          0.9325829744338989,
-          -0.7420949339866638,
-          -0.8717162013053894,
-          0.3239639103412628,
-          0.3646659553050995,
-          0.18762114644050598,
-          0.4323038160800934,
-          0.49042609333992004,
-          0.4172574579715729,
-          -0.4056946337223053,
-          -0.7565715909004211,
-          -0.8770694732666016,
-          -0.6713137626647949,
-          0.3914759159088135,
-          0.5560338497161865,
-          0.401335746049881,
-          0.6967827081680298,
-          0.5735718011856079,
-          0.9659417867660522,
-          0.4600377678871155,
-          -0.7376769781112671,
-          -0.7612969279289246,
-          -0.8649499416351318,
-          -0.9680713415145874,
-          -0.07136695086956024,
-          0.08702337741851807,
-          -0.0012019457062706351,
-          -0.40912172198295593,
-          -0.006982382852584124,
-          -0.2469279021024704,
-          0.2634161114692688,
-          0.19823867082595825,
-          0.6264614462852478,
-          -0.0895332545042038,
-          0.15487948060035706,
-          0.010749834589660168,
-          0.21317049860954285,
-          0.3579390347003937,
-          0.6785242557525635,
-          0.4390743672847748,
-          0.2672802209854126,
-          -0.8758218884468079,
-          -0.963442862033844,
-          -0.9812936782836914,
-          0.47073882818222046,
-          0.4233376085758209,
-          0.6527111530303955,
-          0.6982703804969788,
-          0.6721965670585632,
-          0.9104544520378113,
-          0.8594658970832825,
-          0.9712696671485901,
-          0.7178391218185425,
-          0.9804772734642029,
-          0.9899379014968872,
-          -0.272844135761261,
-          -0.23376643657684326,
-          -0.262163907289505,
-          0.03704443946480751,
-          -0.4075758457183838,
-          -0.7010478377342224,
-          -0.20673303306102753,
-          -0.5571584105491638,
-          -0.8706849217414856,
-          -0.48726165294647217,
-          -0.2910931706428528,
-          -0.002765015931800008,
-          0.05970108136534691,
-          0.3084672689437866,
-          0.15337669849395752,
-          -0.6174674034118652,
-          -0.6328142881393433,
-          -0.5624826550483704,
-          0.1400715708732605,
-          0.3191937208175659,
-          0.02131892368197441,
-          -0.09887219220399857,
-          -0.13459566235542297,
-          0.031372569501399994,
-          -0.23347316682338715,
-          -0.1083475649356842,
-          0.10015857964754105,
-          -0.15261906385421753,
-          -0.3190996050834656,
-          0.5962103009223938,
-          0.944227933883667,
-          0.6263585686683655,
-          -0.03721585124731064,
-          -0.14064188301563263,
-          -0.12287423759698868,
-          0.1620333045721054,
-          0.051118478178977966,
-          0.025942236185073853,
-          0.9509856700897217,
-          0.07660112529993057,
-          -0.2148650735616684,
-          -0.2792571783065796,
-          -0.3916383981704712,
-          -0.5475131869316101,
-          -0.3573049306869507,
-          -0.5381907820701599,
-          0.5642790794372559,
-          0.39763057231903076,
-          0.4926196038722992,
-          0.6876794695854187,
-          0.9853602051734924,
-          0.9853602051734924,
-          0.2784459888935089,
-          0.33439427614212036,
-          0.3757942020893097,
-          0.5680580735206604,
-          -0.202531099319458,
-          0.04602264240384102,
-          0.1253708153963089,
-          -0.053822703659534454,
-          -0.09523261338472366,
-          -0.3647562861442566,
-          0.055967457592487335,
-          -0.18043585121631622,
-          -0.36183372139930725,
-          -0.26616132259368896,
-          0.5843426585197449,
-          0.7874525785446167,
-          0.3204408586025238,
-          0.46942922472953796,
-          -0.3549381494522095,
-          -0.15470989048480988,
-          -0.28662583231925964,
-          -0.45677778124809265,
-          -0.14482297003269196,
-          -0.3699699342250824,
-          -0.31996339559555054,
-          0,
-          0.03902474418282509,
-          -0.4207833707332611,
-          0.5997176170349121,
-          0.34521904587745667,
-          0.260562002658844,
-          0.301216721534729,
-          -0.39678168296813965,
-          -0.9933051466941833,
-          -0.48806899785995483,
-          -0.9801273941993713,
-          -0.9932265877723694,
-          -0.00268577691167593,
-          -0.4860992431640625,
-          -0.718903660774231,
-          -0.22610677778720856,
-          0.40737977623939514,
-          0.7242735624313354,
-          0.9194390773773193,
-          0.992190957069397,
-          0.5167772769927979,
-          -0.8444285988807678,
-          -0.6822850704193115,
-          0.6697694063186646,
-          0.9455884695053101,
-          -0.563209056854248,
-          -0.6827536821365356,
-          -0.6466551423072815,
-          -1,
-          0.00808846578001976,
-          -0.21341004967689514,
-          -0.08499597012996674,
-          -0.22998903691768646,
-          -0.6067743301391602,
-          -0.49108201265335083,
-          -0.5265984535217285,
-          -0.9826362729072571,
-          -0.23542766273021698,
-          -0.2631172835826874,
-          -0.38973894715309143,
-          -0.510794460773468,
-          0.614811897277832,
-          0.9284683465957642,
-          0.980880856513977,
-          0.6759928464889526,
-          0.7887943387031555,
-          0.334210067987442,
-          0.8685921430587769,
-          0.9433988928794861,
-          0.3017013370990753,
-          0.322925865650177,
-          0.0030513221863657236,
-          -0.08400421589612961,
-          0.1492752730846405,
-          0.15100379288196564,
-          0.2531687021255493,
-          0.22673995792865753,
-          0.08318476378917694,
-          -0.09412675350904465,
-          -0.10312476009130478,
-          0.00051957240793854,
-          0.1938382387161255,
-          -0.429431289434433,
-          -0.6668448448181152,
-          0.27889484167099,
-          -0.9699349999427795,
-          -0.6830593347549438,
-          -0.9178845286369324,
-          -0.8040575385093689,
-          -0.03522491827607155,
-          0.586391270160675,
-          0.9315357804298401,
-          0.7273709177970886,
-          0.23738005757331848,
-          0.16160446405410767,
-          0.196137934923172,
-          0.6648127436637878,
-          0.9904631972312927,
-          0.9321214556694031,
-          -0.9826473593711853,
-          -0.5793296098709106,
-          -0.5139965415000916,
-          -0.9829296469688416,
-          0.10490112006664276,
-          0.26333707571029663,
-          0.015549364499747753,
-          0.7950919270515442,
-          -0.22844749689102173,
-          0.08410408347845078,
-          -0.014554033055901527,
-          -0.40973183512687683,
-          -0.6088537573814392,
-          -0.7200993895530701,
-          -0.25975117087364197,
-          -0.05376914516091347,
-          0.25696367025375366,
-          -0.02727169543504715,
-          -0.9200538992881775,
-          -0.9851748943328857,
-          0.2039009928703308,
-          -0.18674251437187195,
-          -0.0373150035738945,
-          0.0003531149122864008,
-          0.7743528485298157,
-          0.49138516187667847,
-          0.8453116416931152,
-          0.8113861680030823,
-          -0.2243531048297882,
-          0.17102263867855072,
-          0.13133029639720917,
-          -0.8719936609268188,
-          -0.7000458240509033,
-          -0.5028141736984253,
-          0.5621294975280762,
-          -0.48999398946762085,
-          1,
-          0.9576523303985596,
-          -0.41538330912590027,
-          -0.5296134352684021,
-          -0.5272583365440369,
-          0.26668936014175415,
-          0.9760602116584778,
-          0.874788224697113,
-          -0.8827227354049683,
-          -0.9637153744697571,
-          -0.5040878057479858,
-          -0.27172648906707764,
-          0.274967223405838,
-          -0.01066218875348568,
-          0.29421308636665344,
-          0.1539771407842636,
-          0.15297439694404602,
-          0.35023635625839233,
-          -0.21796944737434387,
-          0.8537461161613464,
-          0.9835426211357117,
-          0.9496530294418335,
-          0.9985606074333191,
-          -0.2221001833677292,
-          0.4310095012187958,
-          0.6029019355773926,
-          0.7001603841781616,
-          0.8360967636108398,
-          0.519031286239624,
-          -0.9936496019363403,
-          -0.9828091859817505,
-          0.26668936014175415,
-          0.5236851572990417,
-          0.49962037801742554,
-          0.5692272782325745,
-          0.22008033096790314,
-          0.2918113172054291,
-          -0.005608721170574427,
-          0.03870052844285965,
-          0.26892536878585815,
-          -0.1814487725496292,
-          0.06543553620576859,
-          0.08210965245962143,
-          -0.09493392705917358,
-          0.23452402651309967,
-          0.04021294042468071,
-          -0.09652941673994064,
-          0.6716895699501038,
-          0.8282829523086548,
-          -0.5790790915489197,
-          -0.7159784436225891,
-          -0.874889612197876,
-          -0.9411375522613525,
-          -0.25209754705429077,
-          -0.6056337356567383,
-          -0.4996890425682068,
-          0.268974632024765,
-          0.4170511066913605,
-          0.2456361949443817,
-          0.17661170661449432,
-          -0.6461558938026428,
-          -0.8366621732711792,
-          -0.9373155832290649,
-          0.6573933362960815,
-          0.764940083026886,
-          0.4581672251224518,
-          0.012059792876243591,
-          -0.36481741070747375,
-          0.047285694628953934,
-          -0.19150404632091522,
-          -0.06492480635643005,
-          0.2849947214126587,
-          0.49767422676086426,
-          0.28277072310447693,
-          0.54390949010849,
-          0.1638433039188385,
-          -0.31062552332878113,
-          -0.08801092207431793,
-          -0.47230759263038635,
-          -0.2938145399093628,
-          -0.0704847201704979,
-          0.6260424852371216,
-          0.39466437697410583,
-          0.31425905227661133,
-          0.7220942974090576,
-          -0.7903173565864563,
-          0.2835279703140259,
-          0.6021785140037537,
-          0.5951641798019409,
-          0.3522506654262543,
-          0.5202761888504028,
-          0.6336329579353333,
-          0.44877156615257263,
-          0.5989428758621216,
-          0.9741127490997314,
-          0.9952908158302307,
-          0.6856418251991272,
-          -0.18962796032428741,
-          0.14198823273181915,
-          0.027870045974850655,
-          -0.2665543556213379,
-          -0.12062981724739075,
-          -0.35000452399253845,
-          -0.6031556725502014,
-          -0.7968862652778625,
-          -0.9509775042533875,
-          0.2576938569545746,
-          -0.17726917564868927,
-          0.9844260215759277,
-          -0.4435259699821472,
-          -0.1699523627758026,
-          0.6966899037361145,
-          0.9935153722763062,
-          0.994518518447876,
-          0.9067777991294861,
-          -0.9979760646820068,
-          -0.9827584624290466,
-          -0.01198972761631012,
-          0.004887382499873638,
-          0.9262871146202087,
-          -0.011220625601708889,
-          0.20926238596439362,
-          0.08175507932901382,
-          0.13949643075466156,
-          0.24324852228164673,
-          0.2432398945093155,
-          -0.03161051869392395,
-          0.41032442450523376,
-          0.5218767523765564,
-          -0.1977277398109436,
-          0.07446050643920898,
-          -0.20594902336597443,
-          -0.3251917064189911,
-          -0.6149249076843262,
-          0.4732542634010315,
-          0.07446050643920898,
-          0.3481038212776184,
-          0.22188933193683624,
-          0.2149362415075302,
-          -0.24006293714046478,
-          -0.2876802384853363,
-          0.41702282428741455,
-          0.19047819077968597,
-          -0.2501949965953827,
-          -0.15160758793354034,
-          0.43379339575767517,
-          0.0909355953335762,
-          0.451621413230896,
-          0.5065004825592041,
-          -0.9908729195594788,
-          -0.08206022530794144,
-          -0.027877792716026306,
-          0.5542229413986206,
-          -0.38842886686325073,
-          0.9741654992103577,
-          -0.3724351227283478,
-          -0.1986246407032013,
-          -0.3232215344905853,
-          0.7665350437164307,
-          0.5796975493431091,
-          -0.6754114627838135,
-          -0.8743530511856079,
-          -0.8580234050750732,
-          0.7657902240753174,
-          0.6770547032356262,
-          0.5566800236701965,
-          0.935212254524231,
-          -0.584112286567688,
-          0.017612561583518982,
-          -0.36803585290908813,
-          -0.5247402191162109,
-          0.4970661997795105,
-          -0.6998907327651978,
-          -0.5846438407897949,
-          0.9509856700897217,
-          0.8254937529563904,
-          0.6614059805870056,
-          0.5184406042098999,
-          -0.5043556690216064,
-          -0.8817981481552124,
-          -0.6980621218681335,
-          -0.3875381350517273,
-          -0.9762217998504639,
-          -0.9982428550720215,
-          0.2067089080810547,
-          0.11346746981143951,
-          0.01595616154372692,
-          -0.2828061878681183,
-          0.014170551672577858,
-          0.6205798983573914,
-          -0.8973569869995117,
-          -0.7388009428977966,
-          -0.5494065880775452,
-          -0.8166348338127136,
-          0.5313565731048584,
-          -0.004518178757280111,
-          0.48383238911628723,
-          -0.4977671205997467,
-          -0.11393170058727264,
-          -0.1845625638961792,
-          -0.3601009249687195,
-          -0.314405232667923,
-          0.48286524415016174,
-          0.20714795589447021,
-          0.040663253515958786,
-          -0.9531037211418152,
-          -0.26953038573265076,
-          -0.4040994942188263,
-          -0.26528051495552063,
-          0.23274151980876923,
-          -0.6318374872207642,
-          -0.9665676951408386,
-          0.005913611501455307,
-          0.49386274814605713,
-          0.23279796540737152,
-          0.24144552648067474,
-          0.3414899408817291,
-          0.30328240990638733,
-          -0.9941494464874268,
-          -0.3179697096347809,
-          -0.25289952754974365,
-          -0.4826950430870056,
-          -0.992070198059082,
-          -0.9115789532661438,
-          -0.5940829515457153,
-          -0.5463100671768188,
-          -0.9485341310501099,
-          -0.6519872546195984,
-          -0.9987034797668457,
-          -0.5913269519805908,
-          -0.7342608571052551,
-          1,
-          0.45685240626335144,
-          -0.0836566612124443,
-          -0.5427722334861755,
-          -0.2221001833677292,
-          -0.9979760646820068,
-          -0.7426897883415222,
-          0.4536954462528229,
-          -0.5354653596878052,
-          -0.5605345368385315,
-          -0.24477224051952362,
-          -0.31265220046043396,
-          -0.8582495450973511,
-          -0.2184845358133316,
-          -0.8255475759506226,
-          -0.8973569869995117,
-          -0.9509775042533875,
-          0.7109987735748291,
-          -0.3486618995666504,
-          -0.5666218400001526,
-          0.0820944681763649,
-          0.28015971183776855,
-          -0.9690587520599365,
-          -0.6733459830284119,
-          -0.929873526096344,
-          0.05627104640007019,
-          -0.5349896550178528,
-          -0.49556639790534973,
-          -0.2316868156194687,
-          -0.2666398584842682,
-          -0.5846438407897949,
-          0.9041470885276794,
-          0.34881946444511414,
-          0.73880535364151,
-          -0.4977671205997467,
-          -0.620514452457428,
-          0.3705782890319824,
-          -0.3981460928916931,
-          -0.7447241544723511,
-          -0.5671089291572571,
-          -0.7126420140266418,
-          0.3201524019241333,
-          -0.9361801147460938,
-          -0.021949056535959244,
-          0.26071488857269287,
-          0.11704500019550323,
-          -0.09812191873788834,
-          -0.6564890742301941,
-          0.5860076546669006,
-          0.23305492103099823,
-          0.1070864275097847,
-          0.02329915389418602,
-          -0.2407625913619995,
-          0.3414646089076996,
-          0.6114945411682129,
-          0.0007608749438077211,
-          -0.18877489864826202,
-          -0.06473154574632645,
-          -0.5393319725990295,
-          -0.37636464834213257,
-          -0.2776724100112915,
-          0.407381534576416,
-          0.5711175799369812,
-          0.10242214798927307,
-          -0.5774988532066345,
-          0.5009621977806091,
-          0.7229906320571899,
-          0.5307389497756958,
-          0.8771102428436279,
-          -0.6564419269561768,
-          -0.41044551134109497,
-          -0.6564419269561768,
-          -0.7309668660163879,
-          -0.9828091859817505,
-          -0.9828091859817505,
-          -0.31996339559555054,
-          0.02778959460556507,
-          -0.18145851790905,
-          -0.4760945737361908,
-          -0.6159340143203735,
-          -0.5961918830871582,
-          -0.6848282217979431,
-          -0.251895934343338,
-          0.29486724734306335,
-          0.40002304315567017,
-          0.9899379014968872,
-          0.7229412794113159,
-          0.9807852506637573,
-          -0.7337335348129272,
-          -0.8108888864517212,
-          -0.5162743926048279,
-          -0.6094732284545898,
-          -0.9194790720939636,
-          0.5308945178985596,
-          0.01500244252383709,
-          -0.7993972897529602,
-          0.9984241127967834,
-          -0.012843931093811989,
-          -0.8668404221534729,
-          0.990543007850647,
-          0.0920555591583252,
-          -0.31916898488998413,
-          0.9374285340309143,
-          0.7959373593330383,
-          0.8754876255989075,
-          -0.8362293243408203,
-          -0.6582773923873901,
-          -0.9916395545005798,
-          -0.8973569869995117,
-          0.061656251549720764,
-          0.5361354351043701,
-          0.36971715092658997,
-          -0.4583832919597626,
-          -0.46862149238586426,
-          -0.9807852506637573,
-          -0.9511585831642151,
-          -0.27999889850616455,
-          0.038460005074739456,
-          0.1938815712928772,
-          0.19310392439365387,
-          0.5270761847496033,
-          0.5389652252197266,
-          -0.5263717770576477,
-          0.31121960282325745,
-          0.13053779304027557,
-          0.2712872624397278,
-          0.9807852506637573,
-          -0.97075355052948,
-          0.9580817818641663,
-          0.7310782670974731,
-          0.5388161540031433,
-          0.9519411325454712,
-          0.8434329628944397,
-          -0.4833066761493683,
-          -0.20707954466342926,
-          -0.5099445581436157,
-          -0.6608012318611145,
-          -0.018839603289961815,
-          -0.7309668660163879,
-          -0.5254232883453369,
-          0.3551715314388275,
-          -0.21630725264549255,
-          -0.39276570081710815,
-          -0.07621423900127411,
-          0.02646898478269577,
-          0.3646659553050995,
-          0.8563774824142456,
-          0.5865227580070496,
-          0.46233615279197693,
-          0.8343841433525085,
-          -0.8973569869995117,
-          -0.5947028398513794,
-          -0.8064454793930054,
-          0.570570170879364,
-          0.5161767601966858,
-          0.48175233602523804,
-          0.4885003864765167,
-          -0.38643592596054077,
-          -0.4773034155368805,
-          -0.38785600662231445,
-          0.8576608896255493,
-          -0.9899351596832275,
-          0.9875081777572632,
-          -0.1636705994606018,
-          -0.9172571897506714,
-          -0.16427050530910492,
-          -0.4349454939365387,
-          -0.9953550100326538,
-          -0.9971668124198914,
-          0.6962160468101501,
-          0.5453452467918396,
-          -0.05568347126245499,
-          -0.6601232290267944,
-          -0.842789351940155,
-          -0.2496166080236435,
-          -0.8420789837837219,
-          -0.8744059801101685,
-          -0.834104597568512,
-          -0.9026780724525452,
-          0.9523860216140747,
-          0.9934259653091431,
-          -0.7173683643341064,
-          -0.9974165558815002,
-          0.3086850345134735,
-          -0.8398857116699219,
-          -0.2520681619644165,
-          -0.2881055772304535,
-          -0.17640793323516846,
-          -0.8340798020362854,
-          0.803859293460846,
-          -0.5375675559043884,
-          -0.35286054015159607,
-          -0.40147092938423157,
-          -0.5391048192977905,
-          -0.4075758457183838,
-          -0.06929513067007065,
-          0.4999752938747406,
-          0.5083998441696167,
-          0.7683452367782593,
-          0.44873738288879395,
-          0.1870150864124298,
-          0.44929590821266174,
-          0.7604588270187378,
-          -0.253332257270813,
-          0.7990961074829102,
-          -0.4588089883327484,
-          -0.36481741070747375,
-          -0.2928994297981262,
-          -0.620514452457428,
-          -0.8754743337631226,
-          -0.6474624276161194,
-          -0.7147241830825806,
-          -0.8206048011779785,
-          0.8667620420455933,
-          0.8917268514633179,
-          0.9518074989318848,
-          -0.5455569624900818,
-          0.06518997251987457,
-          -0.1746850311756134,
-          0.711083710193634,
-          -0.7957763075828552,
-          -0.23037903010845184,
-          0.4979412853717804,
-          -0.9531556367874146,
-          -0.9841888546943665,
-          0.04183444380760193,
-          0.8254937529563904,
-          0.9814017415046692,
-          -0.5506122708320618,
-          0.9509856700897217,
-          0.8974766731262207,
-          0.8271036744117737,
-          0.6565945744514465,
-          0.5882179737091064,
-          0.4074084758758545,
-          0.1779918372631073,
-          0.8254937529563904,
-          0.3646659553050995,
-          0.6998251676559448,
-          -0.25461456179618835,
-          -0.16163697838783264,
-          0.5031144618988037,
-          0.056570108979940414,
-          0.4599801003932953,
-          0.22676178812980652,
-          -0.27921000123023987,
-          -0.5993555784225464,
-          0.9872598648071289,
-          -0.1492013782262802,
-          -0.11010982096195221,
-          0.08578278124332428,
-          -0.176510289311409,
-          0.12077020108699799,
-          -0.08411595970392227,
-          0.9915391802787781,
-          0.7307949662208557,
-          0.8754876255989075,
-          -0.2441762387752533,
-          -0.14552778005599976,
-          -0.2168065309524536,
-          -0.4977671205997467,
-          0.6998251676559448,
-          0.5844343304634094,
-          -0.4977671205997467,
-          -0.5964337587356567,
-          0.16315852105617523,
-          0.7636315226554871,
-          0.265627384185791,
-          0.9430791139602661,
-          0.6161730289459229,
-          0.9977315664291382,
-          0.9039280414581299,
-          -0.06703191250562668,
-          0.4994438886642456,
-          0.4858933091163635,
-          0.9834839701652527,
-          0.880670964717865,
-          0.8490715026855469,
-          0.9645264744758606,
-          -0.9836878776550293,
-          0.020235415548086166,
-          0.6966110467910767,
-          0.9339800477027893,
-          0.5601944327354431,
-          -0.00601609330624342,
-          0.22188933193683624,
-          0.06982731819152832,
-          0.42058631777763367,
-          -0.20701900124549866,
-          -0.5002540349960327,
-          -0.9948720335960388,
-          -0.6225435733795166,
-          0.29936158657073975,
-          -0.9993430376052856,
-          -0.8705465197563171,
-          0.9978688955307007,
-          0.9816693663597107,
-          -0.2221001833677292,
-          -0.07432012259960175,
-          0.005510379560291767,
-          0.93561190366745,
-          0.769040584564209,
-          0.4979412853717804,
-          0.09552592039108276,
-          -0.4952143132686615,
-          0.8628236055374146,
-          0.891992449760437,
-          0.3251786231994629,
-          -0.9622695446014404,
-          -0.9051315188407898,
-          0.6972473859786987,
-          -0.9227719902992249,
-          -0.9991018772125244,
-          0.9954250454902649,
-          -0.2867448031902313,
-          0.40268635749816895,
-          0.14126500487327576,
-          0.9529435634613037,
-          0.6507450938224792,
-          0.27342158555984497,
-          -0.9639715552330017,
-          -0.971455454826355,
-          0.9434934258460999,
-          0.7417119145393372,
-          0.922407329082489,
-          0.7960216403007507,
-          0.39301806688308716,
-          0.44151046872138977,
-          0.9164034128189087,
-          -0.45337846875190735,
-          -0.7604051232337952,
-          -0.9881238341331482,
-          0.3329641819000244,
-          0.5564926266670227,
-          -0.7899213433265686,
-          0.7021987438201904,
-          -0.9409090876579285,
-          0.8222968578338623,
-          -0.1262354850769043,
-          0.9899379014968872,
-          0.8101232051849365,
-          0.4139884412288666,
-          0.4850161373615265,
-          0.8455127477645874,
-          -0.7117887139320374,
-          -0.9599732160568237,
-          0.32545220851898193,
-          -0.017274606972932816,
-          0.0917535200715065,
-          0.9274268746376038,
-          0.7069732546806335
-         ],
-         "z": [
-          0.24893133342266083,
-          0.06961314380168915,
-          0.38458311557769775,
-          0.045085154473781586,
-          -0.2524856626987457,
-          -0.6164182424545288,
-          -0.4557993710041046,
-          -0.09390309453010559,
-          -0.6660021543502808,
-          -0.5890951156616211,
-          -0.9959505200386047,
-          -0.6060599088668823,
-          -0.298443466424942,
-          -0.4645257592201233,
-          -0.23048292100429535,
-          -0.21867342293262482,
-          -0.31317806243896484,
-          0.07732536643743515,
-          -0.3414348065853119,
-          -0.05248579755425453,
-          -0.10382933914661407,
-          -0.019813725724816322,
-          0.2175561636686325,
-          0.13014905154705048,
-          0.40530869364738464,
-          0.7156205773353577,
-          0.7926167249679565,
-          0.4570474326610565,
-          -0.13187628984451294,
-          0.12653519213199615,
-          -0.22819986939430237,
-          -0.3281902074813843,
-          0.28013405203819275,
-          0.6267420649528503,
-          0.39846572279930115,
-          0.3510749340057373,
-          -0.33739176392555237,
-          -0.18817365169525146,
-          -0.24846261739730835,
-          -0.5050169229507446,
-          -0.5259588956832886,
-          -0.26771974563598633,
-          -0.446445107460022,
-          -0.248659148812294,
-          0.24804984033107758,
-          0.18279309570789337,
-          0.03786000609397888,
-          -0.07831154018640518,
-          -0.20537401735782623,
-          0.22865191102027893,
-          0.03590712696313858,
-          0.0510106198489666,
-          -0.5112490653991699,
-          -0.4819660484790802,
-          -0.5647855401039124,
-          -0.9934210777282715,
-          -0.9370624423027039,
-          -0.3811916410923004,
-          -0.5316653251647949,
-          -0.5263366103172302,
-          -0.7243698835372925,
-          -0.8403451442718506,
-          -0.5899010300636292,
-          -0.9501896500587463,
-          -0.9997191429138184,
-          0.3994015157222748,
-          0.5550714731216431,
-          0.1366790235042572,
-          0.33598801493644714,
-          0.49225300550460815,
-          0.6483957171440125,
-          0.3165377676486969,
-          0.05070596933364868,
-          0.3658945858478546,
-          0.07349245995283127,
-          0.02135220356285572,
-          0.9899535775184631,
-          0.6588714122772217,
-          0.9584241509437561,
-          0.7039474248886108,
-          0.9926663041114807,
-          0.5769069790840149,
-          0.6764622330665588,
-          0.998921275138855,
-          0.5113556385040283,
-          0.5350059866905212,
-          0.4005412459373474,
-          0.18379539251327515,
-          -0.6124829649925232,
-          -0.916515052318573,
-          -0.6823439002037048,
-          0.06995134800672531,
-          -0.09971776604652405,
-          0.30412760376930237,
-          -0.678033173084259,
-          -0.5627862811088562,
-          -0.42405495047569275,
-          -0.4404540956020355,
-          -0.22640195488929749,
-          -0.2587750554084778,
-          -0.5708564519882202,
-          -0.5173807144165039,
-          -0.9726678133010864,
-          -0.6065524220466614,
-          -0.9628442525863647,
-          -0.060457516461610794,
-          0.07383366674184799,
-          0.033002905547618866,
-          -0.26771634817123413,
-          -0.29332637786865234,
-          -0.2589031755924225,
-          0.4012563228607178,
-          0.6697467565536499,
-          0.37911468744277954,
-          0.6959860324859619,
-          -0.3439806401729584,
-          -0.709836483001709,
-          -0.36161622405052185,
-          -0.5031288266181946,
-          -0.37700721621513367,
-          -0.027168434113264084,
-          0.1186046227812767,
-          0.9283714294433594,
-          0.6873116493225098,
-          0.9881190061569214,
-          0.9892323613166809,
-          0.6267638206481934,
-          0.6916837096214294,
-          0.3116864562034607,
-          0.45751941204071045,
-          -0.30098357796669006,
-          -0.5340659618377686,
-          -0.070583276450634,
-          0.9836627840995789,
-          0.9826307892799377,
-          0.2885918915271759,
-          0.23875781893730164,
-          -0.0010253038490191102,
-          -0.01305148471146822,
-          -0.7080255746841431,
-          -0.5416524410247803,
-          -0.7137928605079651,
-          -0.8609718084335327,
-          -0.6466995477676392,
-          -0.22543102502822876,
-          -0.46304792165756226,
-          0.40055951476097107,
-          0.5511629581451416,
-          0.4643996059894562,
-          -0.24696844816207886,
-          0.0023746946826577187,
-          -0.121971994638443,
-          0.09900698065757751,
-          0.24953289330005646,
-          0.22445939481258392,
-          0.10599268972873688,
-          -0.02011456899344921,
-          0.4988115429878235,
-          0.9421597123146057,
-          0.7781175374984741,
-          0.7483584880828857,
-          -0.9510202407836914,
-          -0.5498870611190796,
-          -0.8496232032775879,
-          -0.25599583983421326,
-          -0.018814457580447197,
-          0.0450722798705101,
-          0.006867034826427698,
-          0.9926801323890686,
-          -0.33451950550079346,
-          -0.6014363765716553,
-          -0.3249167501926422,
-          -0.42981573939323425,
-          -0.7796371579170227,
-          -0.6329610347747803,
-          -0.9835079908370972,
-          -0.9459924101829529,
-          -0.5039926767349243,
-          -0.4338308274745941,
-          -0.25865885615348816,
-          -0.6047350168228149,
-          -0.20979124307632446,
-          0.5729902386665344,
-          0.7663477659225464,
-          0.29461243748664856,
-          0.5809187293052673,
-          -0.18392319977283478,
-          0.020668039098381996,
-          -0.27200955152511597,
-          0.03924412652850151,
-          0.0195060633122921,
-          0.3324436545372009,
-          0.6782426834106445,
-          0.17382746934890747,
-          0.4320796728134155,
-          0.20146599411964417,
-          0.37333109974861145,
-          0.5286331176757812,
-          -0.02363656461238861,
-          -0.0906238928437233,
-          0.5550857782363892,
-          0.5451454520225525,
-          0.5945549011230469,
-          -0.7518652677536011,
-          -0.5248426795005798,
-          -0.387797087430954,
-          -0.5349641442298889,
-          -0.25117042660713196,
-          0.1672535389661789,
-          -0.030160700902342796,
-          0.2272733896970749,
-          0.22918443381786346,
-          0.0007958645583130419,
-          -0.47246626019477844,
-          -0.26326435804367065,
-          -0.2667330503463745,
-          0.2950707972049713,
-          0.5224003791809082,
-          0.24893133342266083,
-          0.24893133342266083,
-          -0.3438313901424408,
-          0.2669813930988312,
-          -0.05906572937965393,
-          0.3875717222690582,
-          0.2657814919948578,
-          0.7311900854110718,
-          0.6060779690742493,
-          0.45794302225112915,
-          -0.010273333638906479,
-          0.1575591117143631,
-          0.3539920449256897,
-          -0.6644736528396606,
-          -0.48027414083480835,
-          -0.9416919350624084,
-          0.9293450713157654,
-          0.4946977198123932,
-          0.5810832977294922,
-          0.8662898540496826,
-          0.9053993225097656,
-          0.5155513882637024,
-          0.6468337774276733,
-          0.4702588617801666,
-          0.11277738958597183,
-          -0.048379454761743546,
-          -0.2031347006559372,
-          -0.4603961706161499,
-          -0.1806602030992508,
-          0.10649269074201584,
-          0.24402277171611786,
-          0.22087182104587555,
-          0.6698569059371948,
-          0.6410759091377258,
-          0.4929329752922058,
-          0.23700262606143951,
-          -0.37436285614967346,
-          -0.2582411468029022,
-          0.000663433806039393,
-          -0.9097479581832886,
-          -0.6664299368858337,
-          -0.9650605320930481,
-          0.4332942068576813,
-          0.19210495054721832,
-          0.2930695116519928,
-          0.23533089458942413,
-          0.6286520957946777,
-          0.6442918181419373,
-          0.34618571400642395,
-          -0.006241363473236561,
-          0.1833106428384781,
-          0.29168185591697693,
-          -0.002174111781641841,
-          0.47259294986724854,
-          0.25226056575775146,
-          0.1899283230304718,
-          0.1295872926712036,
-          -0.14776815474033356,
-          -0.007787336595356464,
-          0.1263086497783661,
-          0.15495635569095612,
-          0.40780001878738403,
-          0.5031928420066833,
-          0.22645917534828186,
-          0.04210563376545906,
-          0.1961057186126709,
-          -0.10216209292411804,
-          0.28054866194725037,
-          0.4921416640281677,
-          0.18888798356056213,
-          0.29682838916778564,
-          0.9105742573738098,
-          0.7120792269706726,
-          0.46320977807044983,
-          0.830166220664978,
-          0.48220357298851013,
-          -0.8679813146591187,
-          -0.9516631364822388,
-          0.47452154755592346,
-          0.7259277701377869,
-          0.6084266901016235,
-          0.9848937392234802,
-          -0.23830050230026245,
-          -0.76807701587677,
-          -0.44848307967185974,
-          -0.24442195892333984,
-          0.0057609472423791885,
-          0.04943608120083809,
-          -0.038206059485673904,
-          -0.20376498997211456,
-          -0.33428671956062317,
-          -0.4373824894428253,
-          -0.42244595289230347,
-          -0.6520264744758606,
-          -0.36086952686309814,
-          -0.6188114285469055,
-          0.1818607598543167,
-          -0.31560376286506653,
-          -0.2107848972082138,
-          -0.6734336614608765,
-          0.9861479997634888,
-          0.9878979325294495,
-          0.9840410947799683,
-          0.34084373712539673,
-          -0.6104958653450012,
-          0.29332637786865234,
-          0.6329606175422668,
-          0.4734562635421753,
-          0.6387461423873901,
-          0.9190930128097534,
-          -0.34333351254463196,
-          -0.19907696545124054,
-          -0.007516813464462757,
-          0.35606294870376587,
-          0.5664986968040466,
-          0.2380324900150299,
-          0.02087165042757988,
-          0.1486402451992035,
-          -0.1486402451992035,
-          -0.5884139537811279,
-          -0.24894261360168457,
-          -0.5900663137435913,
-          -0.4645562767982483,
-          0.22966508567333221,
-          0.30052053928375244,
-          0.25223761796951294,
-          0.4725068509578705,
-          0.9906204342842102,
-          0.53376704454422,
-          0.5839667320251465,
-          0.9822286367416382,
-          -0.5414755940437317,
-          -0.959226131439209,
-          -0.8078566789627075,
-          -0.6092051267623901,
-          -0.634707510471344,
-          -0.5340558290481567,
-          0.20579388737678528,
-          0.5619252324104309,
-          0.020743170753121376,
-          -0.8842752575874329,
-          -0.9857361912727356,
-          -0.5279218554496765,
-          -0.9429054260253906,
-          0,
-          -0.4684806168079376,
-          -0.21044278144836426,
-          -0.7952387928962708,
-          -0.9352442026138306,
-          -0.9609246850013733,
-          -0.4732184112071991,
-          0.23765499889850616,
-          -0.0679740384221077,
-          -0.14824911952018738,
-          0.19725912809371948,
-          -0.06877187639474869,
-          -0.07851611077785492,
-          0.8686026334762573,
-          0.6927322745323181,
-          0.6234987378120422,
-          0.5488587021827698,
-          -0.19145558774471283,
-          -0.3909909725189209,
-          -0.07928632199764252,
-          -0.3109854459762573,
-          0.5313256978988647,
-          0.03555777668952942,
-          0.0490003265440464,
-          0.31111860275268555,
-          0.10442136228084564,
-          0.17511685192584991,
-          -0.11836609244346619,
-          0,
-          -0.01821127161383629,
-          -0.3708040714263916,
-          -0.2981916069984436,
-          -0.46162664890289307,
-          -0.1726837307214737,
-          -0.123359814286232,
-          0.4126456081867218,
-          0.17629684507846832,
-          0.43020865321159363,
-          -0.16406390070915222,
-          -0.29134809970855713,
-          -0.3465260863304138,
-          -0.1638673096895218,
-          -0.36755621433258057,
-          -0.19412018358707428,
-          -0.2797713577747345,
-          0.6075701713562012,
-          0.654580295085907,
-          -0.4861188530921936,
-          -0.31833672523498535,
-          -0.5780981779098511,
-          -0.6000235080718994,
-          -0.004480898380279541,
-          0.06860040128231049,
-          -0.24482126533985138,
-          0.28688132762908936,
-          -0.9631673693656921,
-          -0.971184492111206,
-          -0.5911328792572021,
-          -0.9907293319702148,
-          0.5847785472869873,
-          0.9999487996101379,
-          0.5352766513824463,
-          -0.8988922834396362,
-          -0.7401489019393921,
-          0.9553634524345398,
-          -0.23085886240005493,
-          -0.11746350675821304,
-          -0.3938993215560913,
-          -0.5889719724655151,
-          -0.2792058289051056,
-          -0.3732108473777771,
-          -0.3574441075325012,
-          -0.6824148297309875,
-          -0.22026440501213074,
-          -0.5700737833976746,
-          -0.5176344513893127,
-          0.12050525844097137,
-          -0.09682867676019669,
-          -0.35551348328590393,
-          -0.17618408799171448,
-          -0.2755252420902252,
-          0.04571164771914482,
-          -0.17331843078136444,
-          -0.9896681308746338,
-          -0.6911693215370178,
-          -0.5965977907180786,
-          -0.5998966097831726,
-          -0.9706664681434631,
-          -0.9917164444923401,
-          -0.6897068619728088,
-          -0.9094218611717224,
-          0.78774094581604,
-          0.6912752389907837,
-          0.0785423144698143,
-          0.016106540337204933,
-          -0.22879524528980255,
-          0.013991397805511951,
-          -0.38984066247940063,
-          -0.15052154660224915,
-          -0.5829851031303406,
-          -0.23330901563167572,
-          0.059916771948337555,
-          0.0003111835103482008,
-          0.6251672506332397,
-          0.31113284826278687,
-          0.5296736359596252,
-          -0.5800420045852661,
-          0.5752048492431641,
-          0.6355389952659607,
-          0.25313037633895874,
-          -0.47975510358810425,
-          -0.7129015326499939,
-          0.2674548923969269,
-          -0.20113208889961243,
-          0.3797936737537384,
-          1.1691379777549558e-15,
-          -0.2713494598865509,
-          0.40313920378685,
-          0.845343828201294,
-          0.39367449283599854,
-          -0.9590659737586975,
-          -0.2106667459011078,
-          -0.47452685236930847,
-          -0.4596824049949646,
-          -0.25136223435401917,
-          0.15601640939712524,
-          0.08271649479866028,
-          0.9565548896789551,
-          0.7303852438926697,
-          0.6288405656814575,
-          0.9848345518112183,
-          -0.09036430716514587,
-          -0.42064154148101807,
-          -0.9738449454307556,
-          -0.5138938426971436,
-          -0.16709473729133606,
-          -0.2977195680141449,
-          0.014614290557801723,
-          0.9725919365882874,
-          -0.593136191368103,
-          0.7926254868507385,
-          0.7128075361251831,
-          0.5469134449958801,
-          0.4639262855052948,
-          -0.06447644531726837,
-          0.17454104125499725,
-          -0.9590659737586975,
-          -0.8485125303268433,
-          -0.8613754510879517,
-          -0.8202615976333618,
-          -0.9732046723365784,
-          -0.44705015420913696,
-          -0.9994475841522217,
-          -0.7387363910675049,
-          -0.9583876729011536,
-          0.5713192224502563,
-          0.6820598244667053,
-          0.6784961819648743,
-          0.9906498193740845,
-          -0.9688231945037842,
-          -0.6363033056259155,
-          -0.9904927015304565,
-          -0.09575266391038895,
-          -0.5594531893730164,
-          0.3919374942779541,
-          0.6962965726852417,
-          0.4743371605873108,
-          0.32579144835472107,
-          -0.036251384764909744,
-          0.30545035004615784,
-          -0.3993871510028839,
-          -0.16404372453689575,
-          -0.05687348172068596,
-          0.06529530882835388,
-          -0.2403002232313156,
-          -0.21965867280960083,
-          -0.5458555817604065,
-          -0.33839061856269836,
-          -0.7479055523872375,
-          -0.6366367340087891,
-          -0.8835325837135315,
-          -0.998812198638916,
-          0.9292991161346436,
-          0.5906811952590942,
-          0.1568344235420227,
-          0.329791784286499,
-          0.6214436292648315,
-          0.8624156713485718,
-          0.9541876912117004,
-          0.8377023935317993,
-          0.16098438203334808,
-          0.5198801755905151,
-          0.4614923894405365,
-          0.4828778803348541,
-          -0.4090541899204254,
-          -0.6571433544158936,
-          0.7736345529556274,
-          0.9174755811691284,
-          0.5050711035728455,
-          0.6888444423675537,
-          -0.6057143807411194,
-          0.9539580345153809,
-          0.7932191491127014,
-          0.3558451235294342,
-          -0.294318825006485,
-          -0.43747037649154663,
-          -0.2859049141407013,
-          -0.5471164584159851,
-          0.3661544919013977,
-          0.21708662807941437,
-          0.047813039273023605,
-          -0.10936380922794342,
-          -0.9813233017921448,
-          0.6716124415397644,
-          0.9972550272941589,
-          0.9591069221496582,
-          0.9881190061569214,
-          -0.5873571634292603,
-          -0.7924172282218933,
-          -0.597710132598877,
-          -0.2933533787727356,
-          0.6591892242431641,
-          0.982540488243103,
-          0.15812546014785767,
-          0.5574328303337097,
-          0.3088320791721344,
-          -0.15484392642974854,
-          0.06583964824676514,
-          0.0556543804705143,
-          -0.41467854380607605,
-          -0.020549282431602478,
-          -0.17505614459514618,
-          -0.6844256520271301,
-          -0.14388316869735718,
-          0.37474673986434937,
-          -0.9988948702812195,
-          -0.18562301993370056,
-          0.21414516866207123,
-          0.1545124351978302,
-          -0.0718170553445816,
-          0.09742579609155655,
-          0.2770216763019562,
-          -0.1361367404460907,
-          0.23760713636875153,
-          -0.979985237121582,
-          -0.9926663041114807,
-          -0.9774913191795349,
-          -0.16620796918869019,
-          0.3408176600933075,
-          -0.8754684329032898,
-          -0.9926663041114807,
-          -0.9343691468238831,
-          -0.9726558923721313,
-          0.3258844017982483,
-          -0.6285980939865112,
-          -0.9526984095573425,
-          0.5530601739883423,
-          0.4029441475868225,
-          -0.15432234108448029,
-          -0.25908252596855164,
-          0.4096115529537201,
-          0.43439316749572754,
-          -0.8870314359664917,
-          -0.41186952590942383,
-          0.09266889840364456,
-          0.2557157576084137,
-          0.6775721907615662,
-          -0.4413914978504181,
-          0.13172948360443115,
-          0.21691279113292694,
-          -0.9269883036613464,
-          0.30631664395332336,
-          0.21891158819198608,
-          -0.6346932053565979,
-          -0.3447767496109009,
-          0.130438894033432,
-          0.47534096240997314,
-          0.5058916211128235,
-          -0.6356008052825928,
-          -0.24553059041500092,
-          -0.17978045344352722,
-          -0.34532439708709717,
-          -0.2420850694179535,
-          -0.4619636535644531,
-          -0.4826432168483734,
-          0.5221319198608398,
-          0.029748890548944473,
-          -0.7130288481712341,
-          -0.8076095581054688,
-          0.29332637786865234,
-          0.5628518462181091,
-          0.06730208545923233,
-          0.4723880887031555,
-          -0.12552547454833984,
-          -0.4614121615886688,
-          0.08412102609872818,
-          -0.13070812821388245,
-          -0.2101341336965561,
-          0.01784065179526806,
-          0.9772608280181885,
-          0.9888244271278381,
-          0.998428463935852,
-          0.9541769623756409,
-          0.9986042976379395,
-          -0.7781175374984741,
-          0.43230360746383667,
-          0.6684873104095459,
-          0.2304299771785736,
-          -0.5736464858055115,
-          -0.844412088394165,
-          0.00047851071576587856,
-          -0.8698142766952515,
-          -0.8623660206794739,
-          -0.6524214744567871,
-          0.4876599907875061,
-          0.41059526801109314,
-          0.11519432067871094,
-          0.027569491416215897,
-          -0.18464042246341705,
-          0.07333831489086151,
-          -0.28634411096572876,
-          -0.628840982913971,
-          -0.4625285863876343,
-          -0.7084884643554688,
-          0.13881811499595642,
-          0.013083233498036861,
-          -0.2419593632221222,
-          -0.9994175434112549,
-          -0.8644529581069946,
-          -0.969346821308136,
-          0.6237660050392151,
-          0.3980129659175873,
-          0.07845746725797653,
-          0.059401463717222214,
-          0.9435102343559265,
-          0.6205036044120789,
-          0.8704222440719604,
-          0.0805128887295723,
-          0.40569618344306946,
-          0.7998630404472351,
-          -0.15637905895709991,
-          -0.30140817165374756,
-          -0.10545636713504791,
-          0.013164041563868523,
-          -0.8021248579025269,
-          -0.674019455909729,
-          1.1381953347961641e-15,
-          0.8842353820800781,
-          0.70960932970047,
-          0.8383103013038635,
-          0.9725919365882874,
-          -0.020549282431602478,
-          0.6637487411499023,
-          -0.4817539155483246,
-          0.842215895652771,
-          0.827395498752594,
-          0.5711965560913086,
-          0.9451232552528381,
-          -0.505468487739563,
-          -0.5622516870498657,
-          0.5627862811088562,
-          0.43230360746383667,
-          0.2933533787727356,
-          -0.7023643851280212,
-          0.5701262354850769,
-          0.32938721776008606,
-          -0.9919143915176392,
-          -0.9549797773361206,
-          0.23374751210212708,
-          0.026159776374697685,
-          -0.36292386054992676,
-          0.9944577813148499,
-          0.021349981427192688,
-          -0.4515495300292969,
-          -0.0596543550491333,
-          -0.054855652153491974,
-          -0.8076095581054688,
-          -0.4196002781391144,
-          -0.4410720765590668,
-          -0.6684819459915161,
-          0.8623660206794739,
-          0.7781712412834167,
-          -0.4617902934551239,
-          0.9156145453453064,
-          0.6612699031829834,
-          0.8220000267028809,
-          0.7003620862960815,
-          0.9428480863571167,
-          0.3421337604522705,
-          0.009491427801549435,
-          -0.024708475917577744,
-          -0.243136465549469,
-          -0.6658512353897095,
-          0.05885906517505646,
-          -0.12039002776145935,
-          -0.9692688584327698,
-          -0.9894528985023499,
-          -0.712857186794281,
-          0.9669307470321655,
-          0.9363831281661987,
-          0.7855737209320068,
-          0.0020480032544583082,
-          0.48156502842903137,
-          0.23229436576366425,
-          0.2777603268623352,
-          0.9257963299751282,
-          0.6556273102760315,
-          -0.9106780886650085,
-          -0.3095446527004242,
-          0.9899122714996338,
-          -0.8134732842445374,
-          0.8606582283973694,
-          0.6877522468566895,
-          0.4117426872253418,
-          0.4701825976371765,
-          0.7486863732337952,
-          0.544661283493042,
-          0.7486863732337952,
-          0.678033173084259,
-          0.17454104125499725,
-          -0.17454104125499725,
-          -0.9429054260253906,
-          -0.9972629547119141,
-          -0.7024728059768677,
-          0.484409362077713,
-          -0.7819303274154663,
-          -0.7981323003768921,
-          -0.7253903150558472,
-          -0.28735053539276123,
-          0.36599305272102356,
-          -0.9146113395690918,
-          -0.10216209292411804,
-          0.01893974095582962,
-          0.19509032368659973,
-          -0.6746619939804077,
-          -0.580647885799408,
-          -0.8524736762046814,
-          -0.38539648056030273,
-          0.3909161388874054,
-          0.8446590304374695,
-          -0.9985224008560181,
-          0.5946504473686218,
-          -0.01600003056228161,
-          0.40821167826652527,
-          0.48939603567123413,
-          -0.09601835906505585,
-          -0.9909332990646362,
-          -0.5974749326705933,
-          0.33801841735839844,
-          0.5988664031028748,
-          0.47321829199790955,
-          0.5466654896736145,
-          -0.08516772836446762,
-          -0.08488517999649048,
-          -0.43230360746383667,
-          -0.9939273595809937,
-          -0.8418577313423157,
-          0.37960660457611084,
-          0.3056824207305908,
-          -0.3595028221607208,
-          -0.19509032368659973,
-          -0.29275640845298767,
-          -0.9550285339355469,
-          0.9962120056152344,
-          0.9809043407440186,
-          0.6006340980529785,
-          0.8467000126838684,
-          -0.8403451442718506,
-          -0.8470764756202698,
-          0.2801212966442108,
-          -0.9871431589126587,
-          0.08321216702461243,
-          0.19509032368659973,
-          0.22816050052642822,
-          -0.2699337899684906,
-          -0.6778974533081055,
-          -0.8404248356819153,
-          0.2901766896247864,
-          0.5331884622573853,
-          0.44227609038352966,
-          0.9771484136581421,
-          0.8558570742607117,
-          -0.7451087236404419,
-          0.9981444478034973,
-          -0.678033173084259,
-          -0.8475834727287292,
-          0.3360883593559265,
-          0.9743492007255554,
-          -0.282871812582016,
-          -0.22345055639743805,
-          0.3189956545829773,
-          -0.9293450713157654,
-          0.5089709162712097,
-          0.8060675263404846,
-          0.8813042640686035,
-          -0.5501174926757812,
-          0.43230360746383667,
-          0.399971067905426,
-          0.5860621929168701,
-          -0.8191595077514648,
-          0.8525258898735046,
-          0.4839176535606384,
-          0.43716105818748474,
-          0.44707098603248596,
-          -0.004523725248873234,
-          -0.0728132501244545,
-          -0.5065698027610779,
-          0.10219016671180725,
-          0.12683188915252686,
-          0.46737194061279297,
-          -0.39507293701171875,
-          0.14336158335208893,
-          0.5697399377822876,
-          -0.04716167598962784,
-          -0.02876582369208336,
-          0.716044545173645,
-          0.8369349837303162,
-          -0.3292773365974426,
-          0.7456651926040649,
-          0.5343924760818481,
-          -0.9642449021339417,
-          -0.535721480846405,
-          -0.4752419590950012,
-          0.5506404638290405,
-          0.42234858870506287,
-          0.2887100875377655,
-          -0.06674723327159882,
-          0.6946030259132385,
-          0.02623007260262966,
-          0.946326732635498,
-          -0.5398248434066772,
-          -0.9635012149810791,
-          -0.9525694251060486,
-          -0.5915231704711914,
-          -0.5506868362426758,
-          0.5892135500907898,
-          -0.8410922288894653,
-          -0.9329262375831604,
-          -0.9138374328613281,
-          0.8402705788612366,
-          0.9105742573738098,
-          -0.9931750297546387,
-          -0.4777680039405823,
-          -0.8566827178001404,
-          -0.6324874758720398,
-          0.8885729312896729,
-          0.9815806150436401,
-          -0.13777193427085876,
-          -0.6420971155166626,
-          -0.5806383490562439,
-          0.5950174927711487,
-          -0.8831895589828491,
-          -0.9292991161346436,
-          -0.515745222568512,
-          -0.7781712412834167,
-          -0.47324317693710327,
-          0.7560555934906006,
-          -0.6978248953819275,
-          0.5688090324401855,
-          0.48954278230667114,
-          -0.4428369104862213,
-          -0.2906172573566437,
-          -0.8368217945098877,
-          -0.9935793280601501,
-          0.982795000076294,
-          -0.7022608518600464,
-          -0.5990626811981201,
-          0.4099653661251068,
-          0.8622729182243347,
-          -0.286173015832901,
-          0.16053339838981628,
-          0.6610923409461975,
-          0.5628518462181091,
-          0.18883104622364044,
-          0.8341196775436401,
-          -0.29332637786865234,
-          -0.4320796728134155,
-          -0.5608901381492615,
-          -0.7485610842704773,
-          -0.06010530889034271,
-          0.21931923925876617,
-          -0.22103886306285858,
-          -0.5628518462181091,
-          0.9293450713157654,
-          0.7130826711654663,
-          0.9627287983894348,
-          0.9840801358222961,
-          -0.8595077991485596,
-          0.31655168533325195,
-          0.882563591003418,
-          0.971177875995636,
-          -0.9552678465843201,
-          0.7955359220504761,
-          -0.12935291230678558,
-          0.9853049516677856,
-          -0.33821555972099304,
-          0.9915511608123779,
-          -0.9826152324676514,
-          -0.9881051778793335,
-          0.9917153120040894,
-          0.08590389788150787,
-          -0.6782426834106445,
-          0.47321829199790955,
-          -0.17458701133728027,
-          -0.445766419172287,
-          -0.648909866809845,
-          -0.8623660206794739,
-          0.7130826711654663,
-          0.807781457901001,
-          0.8623660206794739,
-          -0.31360378861427307,
-          0.9839302897453308,
-          0.6382311582565308,
-          -0.9593880772590637,
-          0.3193909227848053,
-          -0.7817341685295105,
-          0.023031573742628098,
-          -0.4200100302696228,
-          0.9933979511260986,
-          -0.8614697456359863,
-          -0.8687127232551575,
-          0.16769032180309296,
-          0.46352097392082214,
-          -0.5226393938064575,
-          -0.24868835508823395,
-          0.16562004387378693,
-          0.3897646963596344,
-          0.7157204151153564,
-          0.3493865430355072,
-          -0.8276746273040771,
-          -0.9994074702262878,
-          0.9726558923721313,
-          -0.2598225772380829,
-          0.9036200046539307,
-          0.9771667718887329,
-          0.8610367178916931,
-          -0.05206523463129997,
-          0.20172397792339325,
-          -0.9491549134254456,
-          0.006670048926025629,
-          0.48246243596076965,
-          0.02163754589855671,
-          0.1861138790845871,
-          -0.9725919365882874,
-          -0.9926801323890686,
-          -0.9994572997093201,
-          0.34400707483291626,
-          0.6316402554512024,
-          -0.8622729182243347,
-          0.6931447386741638,
-          0.8637305498123169,
-          -0.49691101908683777,
-          0.4423399865627289,
-          0.9413233995437622,
-          0.2561284601688385,
-          0.4177584648132324,
-          -0.7151981592178345,
-          0.3847554624080658,
-          0.00911870226264,
-          0.04645007848739624,
-          0.9529821872711182,
-          0.9131877422332764,
-          0.9860866069793701,
-          -0.28687211871147156,
-          0.7533616423606873,
-          0.525320291519165,
-          -0.2505177855491638,
-          0.22584663331508636,
-          -0.31802502274513245,
-          -0.664940357208252,
-          0.3854376971721649,
-          -0.5987637042999268,
-          0.9183555841445923,
-          -0.8924358487129211,
-          -0.39667022228240967,
-          -0.8860922455787659,
-          0.642162561416626,
-          -0.12058087438344955,
-          -0.9389616847038269,
-          -0.830712616443634,
-          -0.606196939945221,
-          -0.7111347317695618,
-          -0.3265444338321686,
-          -0.56674724817276,
-          0.9875668883323669,
-          -0.10216209292411804,
-          0.5815808773040771,
-          0.9071466326713562,
-          -0.8691815733909607,
-          -0.5292973518371582,
-          -0.7014018893241882,
-          0.2636984586715698,
-          0.9412404298782349,
-          0.9982985854148865,
-          0.9909630417823792,
-          -0.3709893822669983,
-          -0.7072163224220276
-         ]
-        }
-       ],
-       "layout": {
-        "height": 500,
-        "scene": {
-         "aspectmode": "data"
-        },
-        "template": {
-         "data": {
-          "bar": [
-           {
-            "error_x": {
-             "color": "#2a3f5f"
-            },
-            "error_y": {
-             "color": "#2a3f5f"
-            },
-            "marker": {
-             "line": {
-              "color": "#E5ECF6",
-              "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "bar"
-           }
-          ],
-          "barpolar": [
-           {
-            "marker": {
-             "line": {
-              "color": "#E5ECF6",
-              "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "barpolar"
-           }
-          ],
-          "carpet": [
-           {
-            "aaxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "baxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "type": "carpet"
-           }
-          ],
-          "choropleth": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "choropleth"
-           }
-          ],
-          "contour": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "contour"
-           }
-          ],
-          "contourcarpet": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "contourcarpet"
-           }
-          ],
-          "heatmap": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "heatmap"
-           }
-          ],
-          "heatmapgl": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "heatmapgl"
-           }
-          ],
-          "histogram": [
-           {
-            "marker": {
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "histogram"
-           }
-          ],
-          "histogram2d": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "histogram2d"
-           }
-          ],
-          "histogram2dcontour": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "histogram2dcontour"
-           }
-          ],
-          "mesh3d": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "mesh3d"
-           }
-          ],
-          "parcoords": [
-           {
-            "line": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "parcoords"
-           }
-          ],
-          "pie": [
-           {
-            "automargin": true,
-            "type": "pie"
-           }
-          ],
-          "scatter": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatter"
-           }
-          ],
-          "scatter3d": [
-           {
-            "line": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatter3d"
-           }
-          ],
-          "scattercarpet": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattercarpet"
-           }
-          ],
-          "scattergeo": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattergeo"
-           }
-          ],
-          "scattergl": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattergl"
-           }
-          ],
-          "scattermapbox": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattermapbox"
-           }
-          ],
-          "scatterpolar": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterpolar"
-           }
-          ],
-          "scatterpolargl": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterpolargl"
-           }
-          ],
-          "scatterternary": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterternary"
-           }
-          ],
-          "surface": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "surface"
-           }
-          ],
-          "table": [
-           {
-            "cells": {
-             "fill": {
-              "color": "#EBF0F8"
-             },
-             "line": {
-              "color": "white"
-             }
-            },
-            "header": {
-             "fill": {
-              "color": "#C8D4E3"
-             },
-             "line": {
-              "color": "white"
-             }
-            },
-            "type": "table"
-           }
-          ]
-         },
-         "layout": {
-          "annotationdefaults": {
-           "arrowcolor": "#2a3f5f",
-           "arrowhead": 0,
-           "arrowwidth": 1
-          },
-          "autotypenumbers": "strict",
-          "coloraxis": {
-           "colorbar": {
-            "outlinewidth": 0,
-            "ticks": ""
-           }
-          },
-          "colorscale": {
-           "diverging": [
-            [
-             0,
-             "#8e0152"
-            ],
-            [
-             0.1,
-             "#c51b7d"
-            ],
-            [
-             0.2,
-             "#de77ae"
-            ],
-            [
-             0.3,
-             "#f1b6da"
-            ],
-            [
-             0.4,
-             "#fde0ef"
-            ],
-            [
-             0.5,
-             "#f7f7f7"
-            ],
-            [
-             0.6,
-             "#e6f5d0"
-            ],
-            [
-             0.7,
-             "#b8e186"
-            ],
-            [
-             0.8,
-             "#7fbc41"
-            ],
-            [
-             0.9,
-             "#4d9221"
-            ],
-            [
-             1,
-             "#276419"
-            ]
-           ],
-           "sequential": [
-            [
-             0,
-             "#0d0887"
-            ],
-            [
-             0.1111111111111111,
-             "#46039f"
-            ],
-            [
-             0.2222222222222222,
-             "#7201a8"
-            ],
-            [
-             0.3333333333333333,
-             "#9c179e"
-            ],
-            [
-             0.4444444444444444,
-             "#bd3786"
-            ],
-            [
-             0.5555555555555556,
-             "#d8576b"
-            ],
-            [
-             0.6666666666666666,
-             "#ed7953"
-            ],
-            [
-             0.7777777777777778,
-             "#fb9f3a"
-            ],
-            [
-             0.8888888888888888,
-             "#fdca26"
-            ],
-            [
-             1,
-             "#f0f921"
-            ]
-           ],
-           "sequentialminus": [
-            [
-             0,
-             "#0d0887"
-            ],
-            [
-             0.1111111111111111,
-             "#46039f"
-            ],
-            [
-             0.2222222222222222,
-             "#7201a8"
-            ],
-            [
-             0.3333333333333333,
-             "#9c179e"
-            ],
-            [
-             0.4444444444444444,
-             "#bd3786"
-            ],
-            [
-             0.5555555555555556,
-             "#d8576b"
-            ],
-            [
-             0.6666666666666666,
-             "#ed7953"
-            ],
-            [
-             0.7777777777777778,
-             "#fb9f3a"
-            ],
-            [
-             0.8888888888888888,
-             "#fdca26"
-            ],
-            [
-             1,
-             "#f0f921"
-            ]
-           ]
-          },
-          "colorway": [
-           "#636efa",
-           "#EF553B",
-           "#00cc96",
-           "#ab63fa",
-           "#FFA15A",
-           "#19d3f3",
-           "#FF6692",
-           "#B6E880",
-           "#FF97FF",
-           "#FECB52"
-          ],
-          "font": {
-           "color": "#2a3f5f"
-          },
-          "geo": {
-           "bgcolor": "white",
-           "lakecolor": "white",
-           "landcolor": "#E5ECF6",
-           "showlakes": true,
-           "showland": true,
-           "subunitcolor": "white"
-          },
-          "hoverlabel": {
-           "align": "left"
-          },
-          "hovermode": "closest",
-          "mapbox": {
-           "style": "light"
-          },
-          "paper_bgcolor": "white",
-          "plot_bgcolor": "#E5ECF6",
-          "polar": {
-           "angularaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "bgcolor": "#E5ECF6",
-           "radialaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           }
-          },
-          "scene": {
-           "xaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           },
-           "yaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           },
-           "zaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           }
-          },
-          "shapedefaults": {
-           "line": {
-            "color": "#2a3f5f"
-           }
-          },
-          "ternary": {
-           "aaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "baxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "bgcolor": "#E5ECF6",
-           "caxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           }
-          },
-          "title": {
-           "x": 0.05
-          },
-          "xaxis": {
-           "automargin": true,
-           "gridcolor": "white",
-           "linecolor": "white",
-           "ticks": "",
-           "title": {
-            "standoff": 15
-           },
-           "zerolinecolor": "white",
-           "zerolinewidth": 2
-          },
-          "yaxis": {
-           "automargin": true,
-           "gridcolor": "white",
-           "linecolor": "white",
-           "ticks": "",
-           "title": {
-            "standoff": 15
-           },
-           "zerolinecolor": "white",
-           "zerolinewidth": 2
-          }
-         }
-        },
-        "title": {
-         "text": "Deterministic Results"
-        },
-        "width": 500,
-        "xaxis": {
-         "range": [
-          -5,
-          5
-         ]
-        },
-        "yaxis": {
-         "range": [
-          -1,
-          0.9999999999999999
-         ]
-        }
-       }
-      },
-      "text/html": [
-       "
                                
                        
    "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "results.plot_species('A', t_ndx=200, width=None, height=None, title=\"Raw Stochastic Results\")\n",
     "results.plot_species('A', t_ndx=200, concentration=True, width=None, height=None, title=\"Stochastic Results\")\n",
@@ -20087,19734 +369,36 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "plotlyServerURL": "https://plot.ly"
-       },
-       "data": [
-        {
-         "type": "histogram",
-         "x": [
-          9.564335374870252e+40,
-          -1.4454895324466542e+42,
-          -8.28529091594078e+41,
-          6.655263051687091e+39,
-          -4.167134313102489e+44,
-          -2.0651428088049316e+44,
-          -3.2690895804201947e+44,
-          -3.05829152315126e+44,
-          4.258358405426227e+41,
-          -1.1495033915649353e+42,
-          2.6400533798096977e+41,
-          -9.374395162499978e+42,
-          2.886258999805707e+41,
-          -4.657456031210092e+40,
-          -1.8131016645527998e+43,
-          -6.795016793342594e+41,
-          1.9287052908618806e+45,
-          1.2832222801248469e+44,
-          -9.667627070533012e+44,
-          1.5523794790609484e+44,
-          -1.0593165688335335e+44,
-          -1.406966187117799e+43,
-          -4.940941705389235e+43,
-          -2.0584344504460927e+44,
-          -1.6574082870105647e+44,
-          2.9008069859190986e+43,
-          -2.140293994672546e+41,
-          -5.331365124656717e+44,
-          3.011657394675736e+44,
-          4.166342536300793e+45,
-          -3.7433917203800574e+46,
-          3.841396175272953e+45,
-          1.821308978493024e+44,
-          -4.912291623786151e+42,
-          -7.627270159676832e+42,
-          1.3480695090599562e+43,
-          -1.7455994372438277e+43,
-          7.558456748233028e+43,
-          1.647655709835341e+43,
-          2.353178888510054e+43,
-          2.48267608817669e+39,
-          7.309179254877736e+39,
-          3.17469028824278e+39,
-          -8.924179041106582e+40,
-          1.72396858826551e+43,
-          -1.6283778153656201e+43,
-          -3.0417997380531657e+44,
-          7.361901210160562e+43,
-          2.0319593089861664e+42,
-          2.901677420880713e+41,
-          1.8873724444299784e+43,
-          -9.193071250787455e+42,
-          -5.817556954339484e+45,
-          2.7977108038390176e+45,
-          -3.635671719825667e+44,
-          8.652175271531545e+43,
-          -3.2318861519874297e+40,
-          -4.001151962107059e+41,
-          -8.757098895774662e+41,
-          1.5782152937580948e+42,
-          -5.47265422000069e+38,
-          -1.3425452265675508e+39,
-          4.385724103274985e+38,
-          1.3554379290714237e+38,
-          2.8140171006857547e+38,
-          1.157859357050345e+43,
-          5.4795938492988073e+42,
-          -1.5901751621865987e+45,
-          4.713165496706625e+42,
-          1.360768223282482e+41,
-          -1.9664754501640593e+41,
-          -3.0935279210233503e+41,
-          -5.39029209210632e+43,
-          -1.253683628185929e+44,
-          -3.4256786150178646e+43,
-          1.9353425053708486e+45,
-          -1.2170078961773314e+39,
-          7.326177978189949e+40,
-          1.9556434920657186e+40,
-          -3.6096676516583223e+40,
-          1.7035247921420814e+43,
-          4.681606859748907e+44,
-          9.412175473189375e+42,
-          -1.3309501571195523e+42,
-          -2.8271704178262976e+39,
-          2.976217070409151e+39,
-          1.140383789524173e+41,
-          -4.4423644499897255e+38,
-          8.407215500569274e+40,
-          9.713231598910813e+40,
-          -3.5366338966342286e+40,
-          -1.3443603998251336e+41,
-          1.4811894102641899e+41,
-          8.737428355137302e+41,
-          1.4241706321929422e+43,
-          39178.998043,
-          -3.3149171251907732e+44,
-          1.5907119577925537e+43,
-          1.409416293581588e+43,
-          3.06164722991684e+43,
-          2.8306548904332384e+43,
-          1.4275918605061097e+44,
-          1.7776275200621176e+42,
-          1.8026247658862234e+43,
-          1.139610894201508e+42,
-          6.295980914878367e+43,
-          5.090182433613915e+42,
-          -2.0638546657308535e+42,
-          -8.485504110066575e+43,
-          8.259360247229732e+42,
-          9.311954702353437e+42,
-          -4.144900723681075e+43,
-          1.601144589373076e+43,
-          7.626860620926641e+43,
-          1.7380352580327717e+42,
-          1.251822817986756e+44,
-          -1.452727329804208e+42,
-          -1.7066742769507752e+43,
-          -1.3800192904332498e+42,
-          2.1970750406452966e+45,
-          -4.5359929304025176e+45,
-          1.1421790468740873e+45,
-          -1.0641329701151342e+38,
-          -7.993235286001864e+38,
-          2.8463971544074144e+36,
-          6.433939968255725e+36,
-          -1.4341658048968593e+41,
-          8.871853946893403e+41,
-          -1.0773785788029425e+43,
-          -1.8610762924443435e+42,
-          -4.767568674184886e+42,
-          1.2458689095486543e+41,
-          5.423912666528586e+41,
-          3.2825005971949355e+37,
-          2.96761008204409e+37,
-          1.4748263412440772e+44,
-          1.3489787491864136e+44,
-          -8.663702131783416e+42,
-          1.824769705108145e+44,
-          -7.4271623184253425e+40,
-          -2.262341377550644e+44,
-          1.1001644148166116e+43,
-          2.5649570144154863e+43,
-          -1.1675572053027592e+44,
-          6.757784679712686e+44,
-          5.175605216815304e+45,
-          3.132245547229214e+41,
-          -3.351741595173048e+42,
-          -2.349195444900006e+41,
-          1.8392094186744633e+45,
-          -6.9050024072857945e+44,
-          -1.0375050676347564e+45,
-          9.603750522519297e+45,
-          -4.452057725979254e+44,
-          -8.712271745721374e+45,
-          -7.687817331879186e+42,
-          5.46675804296618e+44,
-          -8.854366607270226e+44,
-          3.916756297204354e+43,
-          2.240792825149249e+43,
-          4.194232572686198e+43,
-          5.536925434779725e+42,
-          -5.0959759925690945e+44,
-          7.3500382862362e+42,
-          9.98340919868387e+43,
-          2.827668844977951e+43,
-          4.2373948241486146e+44,
-          -1.3330613777772656e+43,
-          39178.998043,
-          8.52798448890278e+44,
-          2.9358353079663036e+44,
-          -5.273026335167347e+45,
-          -2.2831059219686678e+45,
-          -2.306480620377954e+44,
-          -1.5763111894180687e+45,
-          8.954079285806066e+43,
-          2.232663555621556e+43,
-          1.1740565734735734e+42,
-          -3.311030321742244e+42,
-          -6.448166064691689e+44,
-          3.2290970151602054e+43,
-          1.2532467845899274e+44,
-          4.310485983453444e+38,
-          9.661220886345965e+38,
-          1.5450384988860207e+39,
-          6.214694120806666e+38,
-          3.382500784081691e+41,
-          -3.763219950872245e+41,
-          3.847818118835562e+44,
-          -2.204050764381127e+44,
-          3.578888722345277e+43,
-          -6.029063012970963e+44,
-          39178.998043,
-          39178.998043,
-          39178.998043,
-          1.8793749472763718e+45,
-          5.909454833677983e+44,
-          -2.3650581863073414e+44,
-          -1.7261378993169338e+42,
-          3.1081319882352897e+42,
-          1.9213009365216726e+44,
-          -1.2985453626259044e+43,
-          8.651996403023845e+43,
-          1.9147279480307568e+43,
-          -1.7452826712631575e+45,
-          -2.962316314787208e+44,
-          -3.404094038469323e+44,
-          -1.0952918102270685e+43,
-          3.0304918230999637e+42,
-          -5.2297552645168734e+42,
-          -1.204636750698826e+43,
-          1.7415278677345026e+43,
-          2.5075388318287354e+43,
-          3.2425339120940594e+43,
-          -3.876933568204713e+42,
-          8.401185087040827e+39,
-          1.516515009751044e+38,
-          1.6588586986434912e+37,
-          1.333897426811004e+37,
-          -2.899128933369879e+37,
-          2.9531649039366176e+43,
-          -2.0924509706735737e+40,
-          -1.556335459243086e+40,
-          -2.7386434202528606e+40,
-          -6.918478106785382e+40,
-          1.9008992126260093e+40,
-          -1.4847659191390339e+40,
-          3.3294543218236885e+39,
-          5.287725588273299e+42,
-          9.33594363588744e+43,
-          4.078767531693869e+42,
-          -5.127929302011834e+41,
-          -2.3184349332462407e+42,
-          7.133754816379477e+42,
-          2.1522958336030716e+43,
-          -4.0213707238073955e+44,
-          -8.140670238155586e+43,
-          5.3184625956679176e+42,
-          4.521864403650602e+42,
-          1.1110028356850898e+45,
-          5.424054443062773e+43,
-          -4.250979862078851e+42,
-          1.1022831587770228e+45,
-          -1.1993443399114708e+42,
-          5.341781472762434e+42,
-          -9.652516506663115e+42,
-          -3.1644491138880768e+38,
-          -5.641779949899312e+40,
-          6.263962767522669e+38,
-          2.2623060572917806e+40,
-          -4.6339172458956965e+42,
-          -3.747802222130256e+42,
-          -1.4417350927256363e+42,
-          -5.865344317500531e+42,
-          8.096776983975275e+41,
-          1.3444218931627568e+44,
-          -8.936515836047544e+44,
-          9.118600103205794e+43,
-          2.476466141353122e+44,
-          5.217255474456338e+43,
-          -6.819928610587707e+41,
-          1.1545369567218071e+41,
-          -2.6485465948856824e+40,
-          -1.3735697419718695e+44,
-          5.140153595902848e+43,
-          -5.058430633039506e+42,
-          -1.2238084228763777e+44,
-          -4.6074202104315155e+45,
-          3.421130057354718e+44,
-          -1.5772131359925465e+45,
-          -2.7744419849692913e+45,
-          1.0577054013064893e+39,
-          7.23460848078698e+37,
-          3.978157697946791e+39,
-          1.0805058689363693e+45,
-          1.7676434897989414e+42,
-          -4.3439585406114895e+41,
-          8.284374907960003e+41,
-          -2.254931810198256e+41,
-          6.171376231711321e+40,
-          1.4040551494889661e+41,
-          1.4952725532719714e+43,
-          2.485187392440164e+44,
-          -3.716022432647291e+42,
-          -1.1579495818468716e+43,
-          -1.2447807224678851e+44,
-          2.55251266591185e+44,
-          -7.883409147428197e+44,
-          3.3415150106135526e+45,
-          -4.275916671252055e+39,
-          -8.10541769428962e+38,
-          2.6906630822868477e+41,
-          -1.0953310379313462e+39,
-          2.3517662539063114e+38,
-          -3.689203992852621e+40,
-          4.436290668192385e+40,
-          2.114652366503814e+45,
-          -4.948606314713763e+43,
-          -5.294117289227356e+44,
-          3.2698380493167043e+43,
-          -1.4264818137708471e+44,
-          -1.6010365325063356e+43,
-          1.4704578472464367e+44,
-          -5.688210355687085e+44,
-          -2.4906404825536348e+45,
-          1.2823628526359352e+46,
-          3.1651114262032164e+45,
-          2.737750739507377e+45,
-          2.6752947614027853e+45,
-          9.465112604426098e+44,
-          1.2244893710869959e+45,
-          -4.781481967006476e+44,
-          1.7695116661719382e+45,
-          -1.1094946070998386e+45,
-          -1.7059832765617288e+44,
-          2.0210968670673977e+40,
-          1.032777756261992e+42,
-          -1.026352856632856e+38,
-          -7.707792681715387e+39,
-          -6.767805508528665e+39,
-          -4.540728785228407e+38,
-          -1.5084387545854478e+45,
-          5.387256093065528e+44,
-          -1.073094686510598e+43,
-          -1.5644455593435186e+42,
-          4.117271731570439e+42,
-          -8.86759801083276e+42,
-          1.1502186261097951e+41,
-          -1.7724448581089028e+44,
-          -2.3181805775806062e+45,
-          -8.630332168172036e+44,
-          3.2310622914486516e+44,
-          -2.3199703986509824e+44,
-          -1.2667628499158872e+45,
-          -5.451976456829913e+44,
-          39178.998043,
-          39178.998043,
-          -2.3274642286345066e+40,
-          -4.526737712752115e+40,
-          3.5896113954779104e+40,
-          -3.706682010081101e+39,
-          0,
-          1.4690552617011498e+39,
-          0,
-          0,
-          1.0553006254515326e+44,
-          7.750994463466926e+44,
-          -4.024505215492102e+44,
-          4.8485659077374e+43,
-          -1.2529773448335404e+45,
-          2.707904882275324e+43,
-          -7.718435996722826e+42,
-          -1.0707066370848503e+43,
-          1.8819038014696732e+43,
-          -9.622760770548537e+42,
-          -1.6351653563629055e+39,
-          1.9521281433174533e+38,
-          1.6572849840013355e+38,
-          0,
-          9.837933467326836e+36,
-          1.756821326149861e+38,
-          2.6888507174667494e+37,
-          39178.998043,
-          39178.998043,
-          39178.998043,
-          -4.216143032708572e+42,
-          2.962194326495376e+42,
-          -2.6602497478011887e+42,
-          2.113888987056868e+44,
-          4.59893327789211e+44,
-          -2.923961045540547e+39,
-          -2.7185795025029546e+41,
-          -7.719828080360626e+39,
-          -1.7428339449623906e+40,
-          1.7761513599771513e+46,
-          -1.0485242319164447e+43,
-          -2.4741436508072634e+43,
-          4.4319842953943866e+42,
-          -9.855669029146284e+40,
-          -1.0099249731953492e+39,
-          -7.51555695656406e+38,
-          -2.7350968977699495e+38,
-          3.038660273012947e+40,
-          -8.632699416535792e+37,
-          -7.78800818319108e+38,
-          -2.1983400844797442e+43,
-          -3.3517812355732386e+42,
-          39178.998043,
-          1.453052340131468e+44,
-          39178.998043,
-          39178.998043,
-          -5.765191982376325e+38,
-          -1.798872893773805e+39,
-          -6.871727087534396e+37,
-          -3.112578524404599e+45,
-          -9.214202783049836e+44,
-          1.0866683292437415e+46,
-          3.0094954842653167e+44,
-          3.549215045346073e+43,
-          -2.8682349516969756e+44,
-          -1.023310725829948e+44,
-          1.1036532999132008e+46,
-          5.42233863980987e+45,
-          -2.2170477280872404e+44,
-          -1.3549744822323542e+43,
-          6.369610911789865e+42,
-          2.7895118082262815e+43,
-          6.15427087641121e+42,
-          -4.792451772891727e+43,
-          -4.6318430773643636e+38,
-          5.2654652084474243e+39,
-          -1.1034557435709688e+43,
-          -1.9911496805781103e+43,
-          -2.7766861897480915e+41,
-          6.074821477269868e+40,
-          1.850389730421213e+41,
-          -2.025199243998884e+45,
-          -4.334230485227012e+39,
-          3.716501255460095e+39,
-          1.8033916571000032e+41,
-          -3.4479134045449054e+39,
-          -4.877249990435865e+40,
-          8.921306641777389e+38,
-          7.159727059365336e+39,
-          8.895974668471712e+42,
-          -1.2253592799769057e+44,
-          8.450441676282184e+43,
-          4.030017112906037e+41,
-          -8.541893694627705e+42,
-          4.4318250266473015e+42,
-          -1.5564067458788274e+42,
-          7.739106140517533e+42,
-          -1.7214296122696133e+43,
-          -1.3364988372883892e+42,
-          9.426430342965526e+42,
-          6.2326218737390845e+38,
-          0,
-          -1.5174654676509694e+39,
-          -9.099083944214052e+43,
-          3.9355125957970865e+42,
-          3.857828534536414e+42,
-          6.56123970795974e+42,
-          1.0007235158942443e+44,
-          -5.031748418736235e+44,
-          -3.288257561342344e+42,
-          -1.526906726787092e+44,
-          -1.381150866504864e+44,
-          7.682093235777872e+45,
-          -3.367287785901581e+42,
-          -1.4139529682235332e+42,
-          -5.641190740023374e+43,
-          -1.2720331402847043e+44,
-          -1.526460455871769e+43,
-          2.6438136286842874e+41,
-          -5.161507011262781e+41,
-          -2.4832921926002836e+41,
-          1.8959772825582015e+42,
-          -2.4099754551974725e+44,
-          8.041541516097029e+43,
-          -2.274113947019672e+43,
-          -2.208779266773304e+42,
-          2.6313301957901298e+45,
-          -9.603712752213689e+44,
-          1.6954109616293643e+46,
-          -2.1774956699322192e+45,
-          -2.1288634889268358e+42,
-          -1.0240055282555547e+43,
-          -4.4516629460131126e+42,
-          3.7862497432914265e+42,
-          8.180783688616667e+45,
-          -2.1163591051413616e+45,
-          1.03220547392013e+46,
-          6.759223137052469e+42,
-          6.167886498619237e+43,
-          -1.828837629665172e+41,
-          -1.1112719554305036e+44,
-          -1.6431712986449835e+43,
-          -1.3132353179419065e+44,
-          -1.5955620006207044e+44,
-          9.733301922491795e+45,
-          -7.223608278241114e+44,
-          1.0310870779336167e+46,
-          4.789311660241936e+37,
-          -9.758924181150145e+43,
-          -1.9016545336929574e+44,
-          -3.34012383944732e+42,
-          6.793800147308952e+42,
-          -1.086402896564984e+45,
-          1.3837583702579408e+46,
-          9.78848135930156e+40,
-          -3.141443253521662e+41,
-          2.517558595567229e+41,
-          -8.761811216636633e+40,
-          -3.801105119772983e+42,
-          -4.6607514492855715e+42,
-          8.756613446625062e+39,
-          -1.2329503032959188e+41,
-          8.521119382482112e+40,
-          2.3183005972086026e+41,
-          1.084630380500978e+41,
-          -4.3132341635732205e+42,
-          -1.2798229293414894e+44,
-          -1.7415518824473214e+41,
-          2.426903889985578e+42,
-          -8.005358187434676e+41,
-          -2.5692855076847948e+42,
-          1.0001611390737809e+43,
-          4.3280487820783245e+43,
-          3.835737753474035e+37,
-          -2.0064611381457837e+36,
-          3.1178159406852406e+43,
-          -1.8379499463272402e+43,
-          -6.201769878754079e+42,
-          6.0048733192761525e+44,
-          -2.4711957666483193e+42,
-          -1.7539743614677489e+43,
-          -3.505981875537539e+42,
-          -1.484769672482479e+45,
-          -1.773719398772643e+45,
-          2.7448747469511612e+44,
-          7.059282062466431e+43,
-          -2.0418321078427047e+43,
-          5.038240477874394e+44,
-          3.069587440090649e+43,
-          3.7536961930965577e+43,
-          1.977108736806453e+42,
-          -1.1718091388689142e+41,
-          -5.924835009538062e+39,
-          8.434039392928679e+39,
-          -7.256426019315736e+40,
-          8.682580399477658e+43,
-          -6.972434115589344e+43,
-          -6.00650919322563e+43,
-          -1.758624444197081e+45,
-          3.088380503152175e+44,
-          -1.2986823609571535e+40,
-          -3.781078820944235e+41,
-          -2.125582229838644e+40,
-          -3.402716050663252e+40,
-          -2.155544180021214e+40,
-          4.2597491592183245e+41,
-          5.706295345434609e+41,
-          -8.881641583675292e+42,
-          -6.313831300076416e+42,
-          39178.998043,
-          39178.998043,
-          4.39885565081432e+42,
-          -3.453955155920853e+44,
-          -1.794510620007728e+39,
-          -3.449009472363694e+37,
-          1.1361883947663213e+38,
-          -4.68169166343388e+38,
-          -1.537714424309696e+43,
-          2.1601810145144957e+44,
-          -4.893199740723064e+44,
-          -6.198942619362843e+44,
-          3.84595452820105e+43,
-          2.0756598586164855e+42,
-          4.0255531155473837e+43,
-          9.581501152231202e+42,
-          3.9147230184020496e+44,
-          -1.0339390271329386e+43,
-          -2.7398541523715664e+44,
-          -7.79055946427509e+42,
-          -8.085525908446761e+42,
-          5.554361650853185e+43,
-          0,
-          0,
-          3.2113465317219367e+38,
-          1.9336696672944434e+38,
-          2.280421579414336e+44,
-          2.802517433511016e+41,
-          -1.3498405176461985e+43,
-          -3.5182856854277555e+43,
-          3.295686187069249e+43,
-          3.3237383371387685e+37,
-          0,
-          0,
-          5.2923307577426554e+36,
-          -3.676130041480647e+43,
-          1.1101340393735252e+43,
-          8.768898736640267e+43,
-          39178.998043,
-          -3.452592681348335e+39,
-          -3.205062692812036e+44,
-          3.0593211358171673e+40,
-          -9.557974197811087e+43,
-          2.922170858191243e+43,
-          4.603390496990818e+44,
-          8.657324390131202e+42,
-          1.1658072343253066e+43,
-          -2.419124929820371e+42,
-          1.0109033204488748e+37,
-          -3.9445379571631537e+37,
-          9.057032628700582e+37,
-          -1.6768562976326613e+44,
-          -4.1011394214489916e+42,
-          2.346346283474583e+36,
-          7.659723508086473e+43,
-          2.6990931593268918e+44,
-          2.0861696761918692e+45,
-          1.752078544594183e+45,
-          -1.1861692447295208e+40,
-          -1.0958281074324059e+39,
-          -4.204168584950205e+39,
-          1.3534881587320286e+39,
-          -1.019644211022931e+44,
-          -2.1623619312979596e+44,
-          -2.3879021017756726e+44,
-          3.1994047709118428e+41,
-          8.996510287563618e+43,
-          -9.292701264386159e+43,
-          -1.3118876847147809e+44,
-          -1.8176714925032752e+44,
-          39178.998043,
-          -1.776120889117286e+40,
-          2.4915180843576642e+42,
-          -1.1572765653204108e+43,
-          1.4318700347439334e+38,
-          -6.459574926073916e+38,
-          1.2492286683073276e+41,
-          -2.4409471503314875e+40,
-          -1.3404535086036403e+45,
-          1.8844827564216927e+45,
-          6.944970293508661e+43,
-          3.495882784292698e+44,
-          -1.5364450472212895e+42,
-          -9.334453107204544e+42,
-          4.0945471596591274e+41,
-          -3.171514239114648e+39,
-          3.2993933277445707e+41,
-          1.326740510818103e+38,
-          -9.736259211358494e+42,
-          -3.705768065661258e+45,
-          -3.0532456540772044e+44,
-          7.995702664486982e+38,
-          3.3290268622717835e+40,
-          3.900537168361359e+43,
-          5.63783896117159e+42,
-          -1.975850992747928e+42,
-          -7.436611005455304e+42,
-          7.362574450451047e+43,
-          7.028016463581853e+44,
-          -1.4865561187989898e+43,
-          -3.012320918546622e+45,
-          -6.758681964130903e+42,
-          -1.8776250261794915e+43,
-          5.546090854567315e+43,
-          2.164675588205482e+41,
-          0,
-          1.5997618748419353e+37,
-          -7.852649263893824e+43,
-          -3.608769643800519e+41,
-          -3.655263909926057e+39,
-          -8.627409801273485e+39,
-          5.195534553808166e+39,
-          1.7991548170267802e+38,
-          -2.853827399906305e+43,
-          1.2034164650247717e+45,
-          1.0469513883002384e+43,
-          2.2575203740311467e+43,
-          3.052395787420342e+42,
-          5.0220092017825503e+42,
-          1.8311140765697004e+40,
-          6.180295575975022e+40,
-          1.465790552168772e+41,
-          -1.826227823354411e+44,
-          6.783731851649486e+42,
-          6.688475660278705e+42,
-          -3.0673583909698315e+44,
-          -2.662148617851758e+43,
-          -2.7333127848854442e+44,
-          6.487349314194355e+43,
-          -8.765682867250218e+41,
-          -7.090681591198305e+43,
-          -5.100543764319341e+44,
-          -1.7523266628166091e+44,
-          1.2695546558532717e+46,
-          -1.0374205690752205e+47,
-          1.1259002404147688e+44,
-          -3.3733922723771616e+44,
-          1.8723140937580884e+45,
-          -3.3126989594884926e+37,
-          3.1520034324957767e+40,
-          -2.0188114469605143e+40,
-          -5.65841083478548e+40,
-          -5.161722413642058e+41,
-          1.0599633441952832e+46,
-          -5.085150099600077e+44,
-          1.4759689442931038e+40,
-          -1.996625267083334e+40,
-          8.322492668158772e+40,
-          -1.8962503044214454e+44,
-          -1.4908004106415002e+44,
-          -1.9998593597241018e+45,
-          6.30275841209233e+40,
-          4.55099052257533e+43,
-          -1.592029372708258e+45,
-          6.287054638132343e+42,
-          -4.7091588293640725e+44,
-          -5.713662414057076e+44,
-          -1.895560455717416e+43,
-          -1.6685981611126637e+38,
-          7.950608557290299e+40,
-          8.564215387472349e+41,
-          -1.6321019348533044e+39,
-          -5.234452096862851e+42,
-          -4.033923981896862e+42,
-          -4.551064593544007e+43,
-          4.3223346095498975e+37,
-          -8.553556407387486e+43,
-          -1.524042819507592e+43,
-          1.970445242369171e+42,
-          3.556429480094634e+38,
-          -4.589483764833879e+44,
-          -4.992141331937442e+43,
-          -1.4840636032238238e+42,
-          -2.7362908068777673e+41,
-          4.700958983406949e+43,
-          7.206176187768559e+42,
-          -2.301541355148592e+44,
-          2.241200726180209e+44,
-          39178.998043,
-          -2.051653880218144e+41,
-          39178.998043,
-          1.3292764885333704e+39,
-          2.5074295260740373e+41,
-          1.955696367497783e+42,
-          -6.036788348393784e+41,
-          -2.2610404309279013e+41,
-          -4.357122148744561e+42,
-          7.518328956272759e+37,
-          1.2451531550346656e+37,
-          1.1655865109060048e+43,
-          8.214985800885291e+40,
-          -7.643791603866205e+38,
-          4.77609613077037e+38,
-          -4.6588399630213995e+39,
-          1.9118822957511886e+39,
-          -1.9822789951857437e+41,
-          -1.3975746601381792e+45,
-          2.6112283413388205e+43,
-          -1.401327177929177e+43,
-          39178.998043,
-          39178.998043,
-          -4.123273167817142e+40,
-          -1.7608360743912358e+44,
-          -5.441442160068687e+44,
-          -3.878003284319045e+44,
-          0,
-          1.1730515439487141e+44,
-          0,
-          0,
-          7.374214936966749e+45,
-          5.587110365850732e+41,
-          7.580222715008597e+45,
-          3.00254112953479e+44,
-          -2.1450724115292684e+41,
-          -1.470196021956162e+41,
-          1.6937827786810985e+43,
-          -3.2654271263542916e+44,
-          -1.8204707178994323e+43,
-          -6.647437862635369e+42,
-          1.8045559698923255e+40,
-          5.388963886463272e+39,
-          -1.978059419715823e+39,
-          2.362704019089084e+39,
-          4.484484860389631e+41,
-          2.1075893100880954e+42,
-          0,
-          -3.6272923649237036e+44,
-          -2.5698853704087996e+42,
-          2.0269251590760277e+43,
-          6.450063683210905e+43,
-          -9.634750558409025e+37,
-          -1.0844541147982538e+39,
-          -1.3908155259159315e+38,
-          1.2339937611746228e+37,
-          -8.339308336575533e+38,
-          -1.8305490588343504e+38,
-          -4.962390067257501e+42,
-          6.185330756890478e+42,
-          4.501387392949879e+43,
-          2.705643843980368e+38,
-          -8.620995790086036e+38,
-          -1.2538324911984846e+40,
-          8.270013023644542e+44,
-          2.1140791044806817e+35,
-          -3.148606235412687e+38,
-          -2.0514838330657462e+41,
-          -1.4248856595577194e+40,
-          39178.998043,
-          -3.288513558753313e+41,
-          9.360169656503599e+37,
-          4.812843065783014e+38,
-          -5.992646921601673e+37,
-          6.743531614049926e+42,
-          1.5287193214399258e+43,
-          4.1929824879899294e+42,
-          8.025194967887439e+43,
-          0,
-          -2.189698394106856e+41,
-          5.72094551053624e+41,
-          2.6838091420045614e+43,
-          4.3957239632062414e+38,
-          -1.1953355671026292e+43,
-          -2.2472582976686357e+44,
-          -6.365899828215895e+38,
-          -1.2513175523757382e+40,
-          -2.9595743030516392e+44,
-          0,
-          0,
-          2.4878773818360405e+35,
-          1.7499547540025216e+41,
-          6.657177242350187e+43,
-          1.7169187293438821e+43,
-          2.8416278615780114e+43,
-          -1.819245306420406e+40,
-          -1.3287192396705139e+42,
-          4.570308312680581e+42,
-          5.263838503346144e+44,
-          0,
-          0,
-          1.3426576036791389e+43,
-          5.487691538399858e+42,
-          8.220737445153357e+42,
-          1.1787475872308156e+43,
-          4.8892107349507854e+44,
-          -1.599288627224123e+40,
-          2.3636293296342876e+37,
-          -1.595834225244175e+42,
-          -1.0255674044154628e+45,
-          1.3060610129076321e+44,
-          39178.998043,
-          2.9587174001252496e+37,
-          -1.1183726671610172e+43,
-          -3.0745823495380497e+43,
-          -4.0486777252534947e+43,
-          -8.823827694255485e+42,
-          -1.0155442868339115e+44,
-          -1.2423713740114476e+42,
-          39178.998043,
-          -2.7114814586788782e+44,
-          -3.886081939353941e+44,
-          -2.6187850533762998e+42,
-          -1.000558412011573e+41,
-          -2.111887786648245e+43,
-          -3.816047851410242e+42,
-          5.160216672036807e+43,
-          -1.5289689102408277e+43,
-          4.733075060984353e+43,
-          8.943375157738434e+43,
-          39178.998043,
-          -3.3068283300052875e+43,
-          6.955784394372669e+43,
-          7.694549442663598e+43,
-          8.336794938068314e+42,
-          1.3831464295793367e+42,
-          -7.969781028044762e+42,
-          -4.553240005337418e+43,
-          -1.2528887995827837e+44,
-          -1.8141724257546486e+43,
-          -4.3297529277535384e+42,
-          -1.0591521575734324e+44,
-          0,
-          0,
-          0,
-          1.9503460970237816e+43,
-          -4.466486108394874e+40,
-          0,
-          2.460776573366117e+43,
-          -4.477200133430212e+45,
-          -5.066443227423433e+44,
-          7.499327331018496e+43,
-          3.986560398889814e+37,
-          -7.068911928549942e+41,
-          5.0184970058956536e+41,
-          1.404046495029229e+43,
-          4.308000631207351e+40,
-          -2.5525335891163157e+44,
-          -5.433037865026808e+43,
-          -9.320173425783983e+43,
-          -2.551122821209884e+40,
-          2.5861871566040308e+42,
-          -1.0294960946425435e+43,
-          1.2527426779671818e+43,
-          1.287098561476273e+43,
-          -1.5936159902046293e+42,
-          4.32697680436258e+39,
-          -6.4947455267931415e+40,
-          -1.2616056418392115e+43,
-          4.512574106157367e+40,
-          1.0146199782537708e+38,
-          -5.975491406604375e+41,
-          5.756064410298624e+43,
-          5.237550707979098e+44,
-          1.9392805699321562e+38,
-          7.993936409104716e+42,
-          -1.0513047003419562e+42,
-          -3.0833737263062254e+38,
-          -9.714363746478723e+38,
-          0,
-          1.3284937399663194e+37,
-          -8.295565209787231e+42,
-          -3.242555267384807e+42,
-          7.902270481277261e+40,
-          6.204387411778243e+40,
-          6.789448273800443e+43,
-          4.3973412781889025e+43,
-          39178.998043,
-          -3.201146991588937e+37,
-          1.5016510510021003e+44,
-          5.645752877471417e+43,
-          7.722291884227824e+43,
-          39178.998043,
-          39178.998043,
-          39178.998043,
-          0,
-          2.183410784194122e+42,
-          6.93353038619768e+42,
-          -1.2531280394600736e+43,
-          2.543299528754044e+42,
-          2.6327428510882916e+41,
-          -7.784029998413734e+41,
-          -4.638444704751045e+41,
-          4.743394055092457e+43,
-          -1.8864631261022542e+42,
-          1.554996386320466e+40,
-          -2.8348609694406235e+37,
-          39178.998043,
-          39178.998043,
-          -4.211634926782804e+44,
-          -1.7148408084081898e+44,
-          1.4677472763766223e+44,
-          -1.1704044939116792e+43,
-          4.9879748557077615e+39,
-          1.3551238937946354e+41,
-          -1.4175181152946981e+44,
-          39178.998043,
-          -1.8330701573655583e+44,
-          0,
-          0,
-          0,
-          39178.998043,
-          -9.261327898950873e+43,
-          3.0382535125282964e+43,
-          -4.2394289996130823e+37,
-          -2.401244719884461e+41,
-          4.4987675067292105e+42,
-          1.895037966851609e+43,
-          5.478450654698708e+42,
-          1.4940560692740381e+43,
-          -1.460925076973971e+42,
-          -3.005890334311539e+41,
-          2.001516198830606e+43,
-          1.0853275666587061e+41,
-          -3.5268990381472695e+38,
-          2.9273912989016114e+44,
-          2.691782108987836e+43,
-          0,
-          0,
-          6.000113386880942e+43,
-          -1.6175968516225232e+43,
-          39178.998043,
-          4.5838294302679425e+38,
-          0,
-          0,
-          0,
-          -2.9613787787692476e+43,
-          4.4115828319447496e+36,
-          0,
-          2.629005265263733e+43,
-          -1.1629306708162563e+39,
-          -1.412625528512675e+39,
-          3.7617574818745454e+42,
-          -3.698687127012522e+41,
-          2.0059471795829555e+41,
-          -1.678922762115535e+41,
-          -2.0436908075007254e+42,
-          4.650201309045743e+40,
-          6.139896466679185e+42,
-          1.1551078433636346e+39,
-          -2.3315685441753476e+38,
-          2.5466896955723816e+42,
-          -1.913775302698656e+42,
-          0,
-          0,
-          6.477701097867758e+42,
-          3.293547371008937e+43,
-          2.22813036538002e+40,
-          7.0803185024446515e+40,
-          -3.022533870947158e+43,
-          -3.048729525870819e+41,
-          39178.998043,
-          0,
-          1.779765565392244e+40,
-          3.466685425742989e+43,
-          6.866363841559475e+43,
-          -2.543659794204213e+44,
-          5.000885473309796e+44,
-          7.076148266741163e+42,
-          -3.457726310287747e+44,
-          -3.358292925728559e+44,
-          1.8976470965026243e+40,
-          5.346676013551e+42,
-          -2.0265744163781746e+43,
-          39178.998043,
-          -4.878688220186485e+41,
-          5.401347842359418e+43,
-          7.281699808410123e+43,
-          39178.998043,
-          2.9064660927273605e+43,
-          3.769987880906863e+43,
-          1.8360252970209204e+41,
-          -1.5915661664606833e+43,
-          1.425430744581399e+43,
-          6.338423440370668e+37,
-          7.636600512635e+37,
-          -1.8867507681324835e+40,
-          7.387138844938381e+42,
-          -6.056282160052055e+38,
-          0,
-          5.780118028988565e+38,
-          3.166387080075537e+43,
-          -3.1889277803854604e+43,
-          1.0825890101844107e+43,
-          2.1326404849765855e+39,
-          0,
-          1.9170251310441534e+39,
-          -1.3017028941775778e+44,
-          4.946835029544322e+41,
-          5.94564559674225e+42,
-          -4.81927538479358e+42,
-          -3.9165285922976503e+40,
-          1.2351290976201609e+39,
-          2.502879823637484e+40,
-          5.304158170070498e+37,
-          -3.4496206011710992e+41,
-          0,
-          -2.7371535112603864e+44,
-          -1.407286134326929e+41,
-          4.614508487874808e+40,
-          1.8896752034941335e+37,
-          -2.4437469586043083e+41,
-          -1.690229978498245e+39,
-          2.5340399947199107e+41,
-          -1.1531625460162024e+42,
-          -9.53341748143993e+39,
-          1.3287320656763714e+43,
-          1.345835586141156e+42,
-          -3.0722910325586965e+41,
-          -1.1558978530932915e+43,
-          -1.1890137052002735e+42,
-          -2.0091659050776417e+44,
-          -2.4391926384951327e+41,
-          -1.1580994826947325e+44,
-          -2.609812209344232e+42,
-          4.918024361935406e+38,
-          -2.900825164343953e+43
-         ]
-        },
-        {
-         "type": "histogram",
-         "x": [
-          0,
-          0,
-          0,
-          0,
-          16,
-          17,
-          32,
-          14,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          38,
-          30,
-          32,
-          38,
-          0,
-          0,
-          0,
-          0,
-          0,
-          2,
-          0,
-          0,
-          66,
-          42,
-          56,
-          52,
-          41,
-          47,
-          37,
-          45,
-          37,
-          35,
-          41,
-          50,
-          0,
-          0,
-          0,
-          0,
-          29,
-          24,
-          21,
-          18,
-          0,
-          0,
-          0,
-          0,
-          41,
-          38,
-          42,
-          35,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          30,
-          37,
-          50,
-          0,
-          0,
-          0,
-          0,
-          44,
-          38,
-          39,
-          42,
-          0,
-          0,
-          0,
-          0,
-          56,
-          58,
-          58,
-          59,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          42,
-          63,
-          53,
-          56,
-          20,
-          25,
-          24,
-          34,
-          24,
-          24,
-          14,
-          30,
-          38,
-          31,
-          30,
-          35,
-          33,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          24,
-          13,
-          24,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          29,
-          29,
-          21,
-          29,
-          54,
-          43,
-          46,
-          42,
-          46,
-          43,
-          53,
-          0,
-          0,
-          0,
-          3,
-          3,
-          0,
-          3,
-          0,
-          0,
-          0,
-          0,
-          44,
-          45,
-          55,
-          43,
-          26,
-          32,
-          31,
-          19,
-          12,
-          11,
-          13,
-          87,
-          16,
-          16,
-          16,
-          10,
-          12,
-          15,
-          12,
-          5,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          13,
-          27,
-          16,
-          49,
-          57,
-          67,
-          51,
-          0,
-          0,
-          0,
-          25,
-          26,
-          31,
-          18,
-          24,
-          1,
-          5,
-          4,
-          6,
-          19,
-          23,
-          20,
-          13,
-          15,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          29,
-          37,
-          40,
-          0,
-          0,
-          36,
-          38,
-          44,
-          49,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          27,
-          40,
-          25,
-          30,
-          0,
-          9,
-          22,
-          1,
-          1,
-          4,
-          0,
-          0,
-          0,
-          22,
-          17,
-          21,
-          8,
-          4,
-          7,
-          7,
-          12,
-          0,
-          0,
-          0,
-          20,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          3,
-          3,
-          0,
-          0,
-          32,
-          30,
-          35,
-          30,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          10,
-          14,
-          17,
-          9,
-          0,
-          0,
-          0,
-          3,
-          2,
-          7,
-          64,
-          60,
-          50,
-          49,
-          4,
-          4,
-          7,
-          10,
-          15,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          30,
-          8,
-          43,
-          0,
-          0,
-          0,
-          0,
-          42,
-          46,
-          59,
-          1,
-          7,
-          3,
-          68,
-          57,
-          55,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          47,
-          44,
-          47,
-          51,
-          14,
-          20,
-          14,
-          19,
-          10,
-          16,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          61,
-          66,
-          57,
-          21,
-          18,
-          19,
-          13,
-          23,
-          0,
-          0,
-          0,
-          0,
-          10,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          27,
-          26,
-          57,
-          63,
-          56,
-          66,
-          0,
-          0,
-          0,
-          0,
-          0,
-          2,
-          48,
-          60,
-          16,
-          22,
-          9,
-          4,
-          15,
-          9,
-          23,
-          24,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          12,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          9,
-          2,
-          0,
-          40,
-          23,
-          35,
-          23,
-          34,
-          20,
-          25,
-          29,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          42,
-          41,
-          53,
-          19,
-          42,
-          38,
-          32,
-          35,
-          0,
-          0,
-          0,
-          0,
-          31,
-          46,
-          29,
-          33,
-          40,
-          47,
-          49,
-          38,
-          29,
-          36,
-          27,
-          34,
-          10,
-          4,
-          4,
-          0,
-          1,
-          0,
-          0,
-          0,
-          45,
-          41,
-          5,
-          4,
-          5,
-          0,
-          50,
-          49,
-          19,
-          17,
-          7,
-          11,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          62,
-          68,
-          24,
-          16,
-          23,
-          17,
-          41,
-          43,
-          0,
-          0,
-          6,
-          0,
-          1,
-          0,
-          0,
-          0,
-          0,
-          0,
-          4,
-          0,
-          0,
-          0,
-          0,
-          3,
-          0,
-          20,
-          0,
-          0,
-          0,
-          0,
-          33,
-          35,
-          31,
-          48,
-          44,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          18,
-          72,
-          56,
-          0,
-          1,
-          0,
-          0,
-          0,
-          0,
-          0,
-          15,
-          17,
-          13,
-          0,
-          0,
-          12,
-          15,
-          14,
-          7,
-          8,
-          21,
-          20,
-          0,
-          0,
-          0,
-          0,
-          0,
-          12,
-          9,
-          8,
-          6,
-          3,
-          0,
-          0,
-          0,
-          0,
-          14,
-          17,
-          27,
-          61,
-          0,
-          3,
-          0,
-          36,
-          8,
-          8,
-          4,
-          7,
-          7,
-          0,
-          0,
-          0,
-          0,
-          24,
-          0,
-          0,
-          53,
-          57,
-          68,
-          0,
-          0,
-          0,
-          0,
-          49,
-          53,
-          46,
-          0,
-          18,
-          43,
-          52,
-          48,
-          67,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          7,
-          3,
-          11,
-          16,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          15,
-          57,
-          41,
-          0,
-          0,
-          0,
-          0,
-          0,
-          2,
-          0,
-          1,
-          1,
-          16,
-          0,
-          0,
-          53,
-          0,
-          0,
-          0,
-          51,
-          55,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          56,
-          38,
-          46,
-          30,
-          2,
-          39,
-          0,
-          0,
-          47,
-          57,
-          0,
-          3,
-          6,
-          0,
-          0,
-          10,
-          0,
-          0,
-          0,
-          0,
-          0,
-          9,
-          13,
-          0,
-          0,
-          0,
-          33,
-          38,
-          30,
-          37,
-          21,
-          12,
-          12,
-          11,
-          9,
-          0,
-          0,
-          0,
-          0,
-          0,
-          25,
-          13,
-          55,
-          0,
-          33,
-          39,
-          21,
-          0,
-          8,
-          0,
-          20,
-          35,
-          34,
-          34,
-          13,
-          0,
-          60,
-          54,
-          71,
-          0,
-          0,
-          0,
-          0,
-          0,
-          22,
-          0,
-          0,
-          30,
-          0,
-          0,
-          0,
-          0,
-          0,
-          8,
-          10,
-          11,
-          50,
-          61,
-          57,
-          0,
-          2,
-          4,
-          5,
-          0,
-          0,
-          0,
-          0,
-          39,
-          0,
-          8,
-          15,
-          0,
-          0,
-          28,
-          12,
-          38,
-          41,
-          0,
-          0,
-          0,
-          0,
-          24,
-          27,
-          0,
-          41,
-          36,
-          13,
-          3,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          44,
-          62,
-          52,
-          0,
-          0,
-          0,
-          41,
-          0,
-          0,
-          0,
-          0,
-          69,
-          0,
-          0,
-          0,
-          0,
-          30,
-          24,
-          22,
-          23,
-          0,
-          0,
-          17,
-          41,
-          0,
-          0,
-          6,
-          0,
-          29,
-          56,
-          0,
-          0,
-          0,
-          0,
-          51,
-          46,
-          49,
-          0,
-          24,
-          0,
-          0,
-          0,
-          0,
-          32,
-          46,
-          44,
-          42,
-          37,
-          0,
-          0,
-          28,
-          40,
-          10,
-          48,
-          0,
-          0,
-          15,
-          6,
-          14,
-          67,
-          56,
-          58,
-          8,
-          10,
-          0,
-          0,
-          42,
-          23,
-          0,
-          0,
-          18,
-          25,
-          52,
-          40,
-          5,
-          8,
-          37,
-          0,
-          8,
-          24,
-          13,
-          47,
-          18,
-          22,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          7,
-          43,
-          8,
-          0,
-          0,
-          35,
-          29,
-          51,
-          0,
-          31,
-          1,
-          0,
-          0,
-          0,
-          0,
-          12,
-          19,
-          24,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          41,
-          34,
-          0,
-          35,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          3,
-          8,
-          50,
-          0,
-          21,
-          6,
-          0,
-          76,
-          78,
-          77,
-          0,
-          13,
-          52,
-          0,
-          0,
-          0,
-          0,
-          0,
-          3,
-          23,
-          0,
-          0,
-          67,
-          50,
-          2,
-          9,
-          35,
-          53,
-          0,
-          0,
-          59,
-          81,
-          43,
-          0,
-          0,
-          0,
-          62,
-          48,
-          47,
-          0,
-          0,
-          0,
-          9,
-          0,
-          22,
-          19,
-          0,
-          20,
-          3,
-          0,
-          0,
-          37,
-          0,
-          0,
-          11,
-          17,
-          57,
-          0,
-          0,
-          0,
-          0,
-          40,
-          0,
-          0,
-          53,
-          0,
-          0,
-          26,
-          0,
-          0,
-          0,
-          35,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          27,
-          28,
-          56,
-          0,
-          0,
-          41,
-          38,
-          0,
-          0,
-          20,
-          4,
-          4,
-          0,
-          15,
-          51,
-          53,
-          0,
-          7,
-          5,
-          65,
-          0,
-          0,
-          35,
-          10,
-          6,
-          0,
-          0,
-          0,
-          41,
-          0,
-          0,
-          0,
-          6,
-          5,
-          35,
-          0,
-          0,
-          0,
-          0,
-          0,
-          9,
-          10,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          7,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          20,
-          0,
-          9,
-          22,
-          0,
-          0,
-          0,
-          5,
-          23,
-          10,
-          30,
-          0,
-          36
-         ]
-        },
-        {
-         "type": "histogram",
-         "x": [
-          0,
-          0,
-          0,
-          0,
-          328.9541314582948,
-          268.9107532664747,
-          574.8881662864021,
-          274.80076944215443,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          594.6698799705795,
-          769.073010664479,
-          444.9697559618994,
-          977.0395701025892,
-          0,
-          0,
-          0,
-          0,
-          0,
-          101.48163182463973,
-          0,
-          0,
-          1929.2604501607718,
-          785.7958053471533,
-          1034.8523487452414,
-          941.4831981460022,
-          1259.871554558584,
-          3158.3898931523418,
-          2328.2154543166375,
-          2609.9060433824384,
-          2136.3820081990875,
-          887.648998224702,
-          3865.3719242009993,
-          2641.310089804543,
-          0,
-          0,
-          0,
-          0,
-          807.956983255788,
-          592.7535873941071,
-          500.1905487804878,
-          391.1342894393742,
-          0,
-          0,
-          0,
-          0,
-          661.2796567797294,
-          565.5519340387849,
-          1058.5477732691484,
-          1190.9622975364093,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          3069.6817763225213,
-          4662.885948330183,
-          816.4598301763552,
-          0,
-          0,
-          0,
-          0,
-          2896.833234577655,
-          801.3665408380607,
-          703.6281956447219,
-          586.2237420615535,
-          0,
-          0,
-          0,
-          0,
-          2755.227552275523,
-          885.1178122329386,
-          2003.869541182974,
-          6556.284031559062,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          3453.379378391712,
-          6097.5609756097565,
-          1076.754296859128,
-          4359.333644714308,
-          481.069899456391,
-          563.7487033779822,
-          716.3965254768514,
-          705.4234615544214,
-          1534.9194167306216,
-          565.3044399952892,
-          679.3478260869565,
-          703.8618553798508,
-          1417.2758466358348,
-          1682.222704579987,
-          555.2265324252295,
-          1278.6322288386366,
-          1898.62493527415,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          403.2935641068728,
-          250.64589519145488,
-          494.1220069588849,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          407.1775574962793,
-          666.2990533958276,
-          598.6146347025456,
-          643.3436120416177,
-          2636.847502319449,
-          876.9067623786606,
-          4046.8021465646166,
-          2963.1720050797235,
-          1874.2615002240966,
-          987.574929376909,
-          872.1265077092693,
-          0,
-          0,
-          0,
-          73.41604874825637,
-          102.56760914903073,
-          0,
-          84.82723519764745,
-          0,
-          0,
-          0,
-          0,
-          721.7492577465019,
-          2444.0582228981098,
-          4304.272969165754,
-          2232.8383009658323,
-          1501.4147947104002,
-          630.8775111882184,
-          2753.1083481349915,
-          945.9795867562858,
-          1394.8622573520865,
-          248.90256595918,
-          710.0720996285776,
-          7819.521840733417,
-          244.3233008077939,
-          493.26386533896476,
-          347.9017177647314,
-          222.22222222222223,
-          397.15373159026973,
-          363.60991927859794,
-          511.11679018655764,
-          262.49475010499793,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          216.27736740533706,
-          518.3933645649336,
-          436.8719965050241,
-          1291.1385734236253,
-          4535.327816677276,
-          4299.005453962143,
-          7142.857142857143,
-          0,
-          0,
-          0,
-          933.3582228859436,
-          1411.5092290988057,
-          576.3367293820182,
-          341.99076624931126,
-          532.9306746014123,
-          67.60868095463458,
-          100.3854802441375,
-          186.74136321195144,
-          359.1954022988506,
-          881.2207226009925,
-          915.3864522805063,
-          3295.9789057350035,
-          1028.3996519262716,
-          2021.2909311413557,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          1921.8025182239894,
-          832.2087269455691,
-          2728.1407720638385,
-          0,
-          0,
-          2937.33681462141,
-          2747.0541458830335,
-          1139.3355602164738,
-          1846.965699208443,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          990.9347818108415,
-          3726.1294829995345,
-          1509.5706780991486,
-          1804.7283883775492,
-          0,
-          237.14790124107404,
-          693.5249984238068,
-          56.12617163383286,
-          16.643919976032755,
-          257.46652935118436,
-          0,
-          0,
-          0,
-          506.2126092959043,
-          336.12116179290985,
-          400.29736375593296,
-          257.08593097242755,
-          72.1071512267229,
-          174.40267085233077,
-          152.97537096527458,
-          280.9120277166534,
-          0,
-          0,
-          0,
-          282.62559174733275,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          169.91391028545536,
-          98.63554167351636,
-          0,
-          0,
-          1008.3504017646133,
-          767.8132678132678,
-          839.4291881520566,
-          563.5390250774866,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          234.8961758902565,
-          376.7593315213004,
-          458.70321901729585,
-          469.4345921134988,
-          0,
-          0,
-          0,
-          86.11286526207014,
-          48.13014390913029,
-          178.84974066787603,
-          1591.8418107200598,
-          1721.4173002438677,
-          1233.1368535280046,
-          1192.3011412025207,
-          105.15247108307047,
-          80.70862169851294,
-          210.1281781886951,
-          261.4925997594268,
-          338.3560407831814,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          575.0321059592494,
-          173.79214459506431,
-          2848.625372639947,
-          0,
-          0,
-          0,
-          0,
-          859.2822946929089,
-          1053.282348361688,
-          927.3230227587075,
-          27.78395198933096,
-          189.5631922441574,
-          46.979970872418065,
-          1852.3563061836012,
-          5534.517914360617,
-          5839.261068053934,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          1645.1398368861353,
-          765.7367605854406,
-          778.5452798621809,
-          2215.9461220942862,
-          311.0696351597565,
-          837.3456144023446,
-          1210.444406017638,
-          981.2529050250479,
-          250.52610482012224,
-          417.6346219101564,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          2402.236836923562,
-          3087.285994948077,
-          1830.501942901185,
-          1360.3679471399885,
-          629.5907660020986,
-          1040.070067878257,
-          215.7318287421175,
-          359.4311611189248,
-          0,
-          0,
-          0,
-          0,
-          232.35820340637127,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          442.6011835483501,
-          1544.4015444015445,
-          3424.2460651207493,
-          1742.6903820087964,
-          2807.5804672616064,
-          6558.028616852146,
-          0,
-          0,
-          0,
-          0,
-          0,
-          35.80635920939559,
-          1218.892839004571,
-          2654.9847338377804,
-          268.87141224709285,
-          535.6968929580208,
-          142.88889594513066,
-          74.79012022511826,
-          377.63399712998165,
-          394.71952984518225,
-          1427.5074478649453,
-          682.6326867284828,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          300.42058882435407,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          882.5259854873505,
-          141.86409419775856,
-          0,
-          3231.5398287283892,
-          538.1123953020448,
-          2421.47502421475,
-          1184.6510430079834,
-          835.0525591904902,
-          448.53106077595874,
-          1625.6990505917545,
-          1350.0302592989153,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          2341.528683726375,
-          1262.6651473622617,
-          877.4253360704589,
-          1321.0958142122097,
-          2364.998029168309,
-          1267.342582710779,
-          1074.3662917575962,
-          1250.1785969424204,
-          0,
-          0,
-          0,
-          0,
-          782.1962050867985,
-          1100.5047967654727,
-          1270.9264615654308,
-          3208.5561497326203,
-          762.5002382813245,
-          1457.3643410852712,
-          885.4994940002891,
-          1088.3886120181016,
-          1714.0492936934806,
-          547.4785570898473,
-          1817.0805572380375,
-          2450.273854136639,
-          161.96954972465176,
-          80.65979714061018,
-          92.52191612888303,
-          0,
-          52.75652862041678,
-          0,
-          0,
-          0,
-          2940.0235201881615,
-          2362.8400184416782,
-          101.27402726296815,
-          188.0229387985334,
-          106.91985287828244,
-          0,
-          2355.1577955723033,
-          2163.5464500176613,
-          1833.622852731133,
-          1233.2245194051504,
-          132.91055119904306,
-          275.9243465609793,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          6599.957419629551,
-          2807.0175438596493,
-          1963.5114129100875,
-          1384.3225471534868,
-          1037.2976142154873,
-          428.01752354096374,
-          2990.081680280047,
-          2042.561276838305,
-          0,
-          0,
-          186.6368047779022,
-          0,
-          44.08393581378946,
-          0,
-          0,
-          0,
-          0,
-          0,
-          84.60057951396968,
-          0,
-          0,
-          0,
-          0,
-          153.51550506601166,
-          0,
-          1476.886722788362,
-          0,
-          0,
-          0,
-          0,
-          838.4998475454822,
-          908.359502738055,
-          606.5586600923534,
-          1085.162661361427,
-          875.8136109397083,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          951.4747859181731,
-          4220.64599331731,
-          3684.9378166743436,
-          0,
-          33.67456896551724,
-          0,
-          0,
-          0,
-          0,
-          0,
-          311.85679535957087,
-          320.2712886209495,
-          248.91339728492923,
-          0,
-          0,
-          778.311064988974,
-          892.2198429693076,
-          311.53341195843257,
-          402.9936672423719,
-          587.2421639873743,
-          975.3378849101296,
-          1028.3305054244433,
-          0,
-          0,
-          0,
-          0,
-          0,
-          299.4161385298667,
-          463.29661278698654,
-          592.6364915919697,
-          163.82252559726965,
-          241.11879119112683,
-          0,
-          0,
-          0,
-          0,
-          383.22566517026166,
-          1232.9561937917028,
-          937.7930603313536,
-          6981.801533707222,
-          0,
-          111.85682326621924,
-          0,
-          995.9608255408622,
-          286.3585925475176,
-          188.763832849626,
-          491.8234353866962,
-          347.4807644576818,
-          393.2805213776055,
-          0,
-          0,
-          0,
-          0,
-          1452.4328249818445,
-          0,
-          0,
-          1277.1699840956192,
-          1498.8167236392321,
-          2255.8386411889596,
-          0,
-          0,
-          0,
-          0,
-          4661.339421613394,
-          3648.127753303965,
-          2018.783463530238,
-          0,
-          413.13778145011366,
-          4398.976982097186,
-          3756.1398439757295,
-          3293.084522502744,
-          3467.5499430700756,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          167.3400109966293,
-          63.32988537290747,
-          495.89757461004416,
-          345.7216940363008,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          1271.2941774726671,
-          1150.492491522687,
-          1044.6392172849573,
-          0,
-          0,
-          0,
-          0,
-          0,
-          60.66672733339399,
-          0,
-          20.807324178110697,
-          72.90223809870963,
-          258.544073685061,
-          0,
-          0,
-          1925.8021147487373,
-          0,
-          0,
-          0,
-          2568.4931506849316,
-          4821.178120617111,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          3070.848870366309,
-          3157.1950814223997,
-          2936.4826045323975,
-          552.5472427892585,
-          118.7507421921387,
-          1710.2262760919136,
-          0,
-          0,
-          1700.0036170289723,
-          1335.9583743495991,
-          0,
-          51.25226364164417,
-          90.21064184871675,
-          0,
-          0,
-          187.35011990407673,
-          0,
-          0,
-          0,
-          0,
-          0,
-          163.71971185330713,
-          616.610539297064,
-          0,
-          0,
-          0,
-          741.2065944926104,
-          616.2728466940205,
-          709.8743522396536,
-          2447.5755771647814,
-          740.6101216716628,
-          272.93197170605225,
-          598.115934805363,
-          507.84856879039705,
-          319.1036732378386,
-          0,
-          0,
-          0,
-          0,
-          0,
-          1155.9090068429812,
-          965.8964261832231,
-          6297.950303446697,
-          0,
-          752.0339098926642,
-          2037.9369807179808,
-          1290.0055285951228,
-          0,
-          408.1216202428323,
-          0,
-          1323.0138254944764,
-          4495.825305073859,
-          857.8926120306822,
-          1646.249939476105,
-          495.59681293126454,
-          0,
-          6629.834254143646,
-          5288.414454999511,
-          8383.516353760773,
-          0,
-          0,
-          0,
-          0,
-          0,
-          966.3108885667853,
-          0,
-          0,
-          937.4707040404987,
-          0,
-          0,
-          0,
-          0,
-          0,
-          441.25758411472697,
-          151.92027224112786,
-          663.5299794908916,
-          2098.6358866736623,
-          9813.384813384813,
-          3273.980470993682,
-          0,
-          282.60562385191463,
-          170.77231780728346,
-          429.8486932599725,
-          0,
-          0,
-          0,
-          0,
-          847.9551236057661,
-          0,
-          200.41586291554975,
-          299.3533966632075,
-          0,
-          0,
-          723.4768229032092,
-          406.0638873849486,
-          1835.305481767689,
-          2518.4275184275184,
-          0,
-          0,
-          0,
-          0,
-          992.8432548711372,
-          549.9317677251156,
-          0,
-          779.6900256727204,
-          2151.1801613385123,
-          934.9827387802071,
-          196.0399921584003,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          4613.126441602013,
-          6251.2603347449085,
-          1640.5338044609898,
-          0,
-          0,
-          0,
-          911.3946561152359,
-          0,
-          0,
-          0,
-          0,
-          3574.573900429985,
-          0,
-          0,
-          0,
-          0,
-          1536.3343063450607,
-          1586.4621893178212,
-          1408.3605402983164,
-          753.9500426145677,
-          0,
-          0,
-          1214.8931608661474,
-          2035.042438080111,
-          0,
-          0,
-          488.20179007323026,
-          0,
-          1363.1022326674502,
-          1673.2901066722445,
-          0,
-          0,
-          0,
-          0,
-          1380.3556445719544,
-          6177.813591189901,
-          3716.062490520249,
-          0,
-          1719.8136868505912,
-          0,
-          0,
-          0,
-          0,
-          1858.952015801092,
-          2047.3562399857576,
-          4287.245444801715,
-          5671.077504725898,
-          626.8211696144203,
-          0,
-          0,
-          1665.4770402093743,
-          933.1622535868424,
-          352.43532811729045,
-          3027.0542977864666,
-          0,
-          0,
-          739.7908857762873,
-          213.2044630800938,
-          1844.532279314888,
-          3134.6495742490874,
-          4231.844630847125,
-          4495.078663876618,
-          648.1406465202949,
-          645.9113809585325,
-          0,
-          0,
-          2022.4394471998844,
-          2055.039313795568,
-          0,
-          0,
-          478.67248165088824,
-          628.3459421419057,
-          4893.196574762398,
-          2916.940129803836,
-          211.79261267366994,
-          410.5300969877354,
-          2899.00493614354,
-          0,
-          440.50437751225155,
-          478.9941123640356,
-          558.7792821835375,
-          3242.0500793267574,
-          1450.560077363204,
-          635.9851988899168,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          376.70864277257556,
-          649.2133949331159,
-          408.4133142740453,
-          0,
-          0,
-          2760.2523659305994,
-          4026.1002360127723,
-          3639.4776279169346,
-          0,
-          748.6295249824917,
-          46.74644727000748,
-          0,
-          0,
-          0,
-          0,
-          1165.9541391371938,
-          907.9613877473,
-          1917.5455417066157,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          2147.496333542845,
-          558.0173970129657,
-          0,
-          1965.6295630686286,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          169.91391028545536,
-          445.9805998439068,
-          2925.858739540055,
-          0,
-          405.71870170015455,
-          303.1374728439347,
-          0,
-          10079.575596816976,
-          4489.983882109142,
-          5789.909015715467,
-          0,
-          469.8059340103357,
-          4773.707885798219,
-          0,
-          0,
-          0,
-          0,
-          0,
-          171.39918871050676,
-          1201.2325690708726,
-          0,
-          0,
-          3745.1089994410286,
-          4258.943781942078,
-          116.95222501608092,
-          526.6237565827969,
-          910.8179144872095,
-          3681.3224977425853,
-          0,
-          0,
-          3709.29209103483,
-          4253.9782574444625,
-          2135.054617676266,
-          0,
-          0,
-          0,
-          5627.666333847689,
-          4357.694053563323,
-          3182.7723979142684,
-          0,
-          0,
-          0,
-          547.4785570898473,
-          0,
-          874.9950284373384,
-          1278.8584505620247,
-          0,
-          902.4049090827054,
-          198.95218515816697,
-          0,
-          0,
-          3327.0389353475407,
-          0,
-          0,
-          458.44794531966323,
-          596.3656774012488,
-          4544.005102040816,
-          0,
-          0,
-          0,
-          0,
-          3429.355281207133,
-          0,
-          0,
-          3696.2131250435878,
-          0,
-          0,
-          1017.0950201463053,
-          0,
-          0,
-          0,
-          3780.5141499243896,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          1263.2169926078413,
-          1560.323209807746,
-          8480.993487808571,
-          0,
-          0,
-          2823.108173242443,
-          1394.0861398488516,
-          0,
-          0,
-          1110.370863868532,
-          269.72353337828724,
-          309.59752321981426,
-          0,
-          792.2674694977025,
-          8562.793821356614,
-          5944.369672498879,
-          0,
-          382.1795151779865,
-          269.19349628512975,
-          13089.005235602095,
-          0,
-          0,
-          2841.6010392140943,
-          349.7359493582345,
-          731.0832216400632,
-          0,
-          0,
-          0,
-          5460.114529231589,
-          0,
-          0,
-          0,
-          579.2624058698591,
-          511.770726714432,
-          2503.3974679922753,
-          0,
-          0,
-          0,
-          0,
-          0,
-          669.1449814126394,
-          996.710854181202,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          499.5717956037682,
-          0,
-          0,
-          0,
-          0,
-          0,
-          0,
-          1088.139281828074,
-          0,
-          1030.5736860185505,
-          1168.0382267056011,
-          0,
-          0,
-          0,
-          436.5287235900122,
-          1934.8868511819635,
-          730.8338814587444,
-          1791.900609246207,
-          0,
-          1828.1535648994513
-         ]
-        }
-       ],
-       "layout": {
-        "bargap": 0.2,
-        "bargroupgap": 0.1,
-        "template": {
-         "data": {
-          "bar": [
-           {
-            "error_x": {
-             "color": "#2a3f5f"
-            },
-            "error_y": {
-             "color": "#2a3f5f"
-            },
-            "marker": {
-             "line": {
-              "color": "#E5ECF6",
-              "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "bar"
-           }
-          ],
-          "barpolar": [
-           {
-            "marker": {
-             "line": {
-              "color": "#E5ECF6",
-              "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "barpolar"
-           }
-          ],
-          "carpet": [
-           {
-            "aaxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "baxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "type": "carpet"
-           }
-          ],
-          "choropleth": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "choropleth"
-           }
-          ],
-          "contour": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "contour"
-           }
-          ],
-          "contourcarpet": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "contourcarpet"
-           }
-          ],
-          "heatmap": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "heatmap"
-           }
-          ],
-          "heatmapgl": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "heatmapgl"
-           }
-          ],
-          "histogram": [
-           {
-            "marker": {
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "histogram"
-           }
-          ],
-          "histogram2d": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "histogram2d"
-           }
-          ],
-          "histogram2dcontour": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "histogram2dcontour"
-           }
-          ],
-          "mesh3d": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "mesh3d"
-           }
-          ],
-          "parcoords": [
-           {
-            "line": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "parcoords"
-           }
-          ],
-          "pie": [
-           {
-            "automargin": true,
-            "type": "pie"
-           }
-          ],
-          "scatter": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatter"
-           }
-          ],
-          "scatter3d": [
-           {
-            "line": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatter3d"
-           }
-          ],
-          "scattercarpet": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattercarpet"
-           }
-          ],
-          "scattergeo": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattergeo"
-           }
-          ],
-          "scattergl": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattergl"
-           }
-          ],
-          "scattermapbox": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattermapbox"
-           }
-          ],
-          "scatterpolar": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterpolar"
-           }
-          ],
-          "scatterpolargl": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterpolargl"
-           }
-          ],
-          "scatterternary": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterternary"
-           }
-          ],
-          "surface": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "surface"
-           }
-          ],
-          "table": [
-           {
-            "cells": {
-             "fill": {
-              "color": "#EBF0F8"
-             },
-             "line": {
-              "color": "white"
-             }
-            },
-            "header": {
-             "fill": {
-              "color": "#C8D4E3"
-             },
-             "line": {
-              "color": "white"
-             }
-            },
-            "type": "table"
-           }
-          ]
-         },
-         "layout": {
-          "annotationdefaults": {
-           "arrowcolor": "#2a3f5f",
-           "arrowhead": 0,
-           "arrowwidth": 1
-          },
-          "autotypenumbers": "strict",
-          "coloraxis": {
-           "colorbar": {
-            "outlinewidth": 0,
-            "ticks": ""
-           }
-          },
-          "colorscale": {
-           "diverging": [
-            [
-             0,
-             "#8e0152"
-            ],
-            [
-             0.1,
-             "#c51b7d"
-            ],
-            [
-             0.2,
-             "#de77ae"
-            ],
-            [
-             0.3,
-             "#f1b6da"
-            ],
-            [
-             0.4,
-             "#fde0ef"
-            ],
-            [
-             0.5,
-             "#f7f7f7"
-            ],
-            [
-             0.6,
-             "#e6f5d0"
-            ],
-            [
-             0.7,
-             "#b8e186"
-            ],
-            [
-             0.8,
-             "#7fbc41"
-            ],
-            [
-             0.9,
-             "#4d9221"
-            ],
-            [
-             1,
-             "#276419"
-            ]
-           ],
-           "sequential": [
-            [
-             0,
-             "#0d0887"
-            ],
-            [
-             0.1111111111111111,
-             "#46039f"
-            ],
-            [
-             0.2222222222222222,
-             "#7201a8"
-            ],
-            [
-             0.3333333333333333,
-             "#9c179e"
-            ],
-            [
-             0.4444444444444444,
-             "#bd3786"
-            ],
-            [
-             0.5555555555555556,
-             "#d8576b"
-            ],
-            [
-             0.6666666666666666,
-             "#ed7953"
-            ],
-            [
-             0.7777777777777778,
-             "#fb9f3a"
-            ],
-            [
-             0.8888888888888888,
-             "#fdca26"
-            ],
-            [
-             1,
-             "#f0f921"
-            ]
-           ],
-           "sequentialminus": [
-            [
-             0,
-             "#0d0887"
-            ],
-            [
-             0.1111111111111111,
-             "#46039f"
-            ],
-            [
-             0.2222222222222222,
-             "#7201a8"
-            ],
-            [
-             0.3333333333333333,
-             "#9c179e"
-            ],
-            [
-             0.4444444444444444,
-             "#bd3786"
-            ],
-            [
-             0.5555555555555556,
-             "#d8576b"
-            ],
-            [
-             0.6666666666666666,
-             "#ed7953"
-            ],
-            [
-             0.7777777777777778,
-             "#fb9f3a"
-            ],
-            [
-             0.8888888888888888,
-             "#fdca26"
-            ],
-            [
-             1,
-             "#f0f921"
-            ]
-           ]
-          },
-          "colorway": [
-           "#636efa",
-           "#EF553B",
-           "#00cc96",
-           "#ab63fa",
-           "#FFA15A",
-           "#19d3f3",
-           "#FF6692",
-           "#B6E880",
-           "#FF97FF",
-           "#FECB52"
-          ],
-          "font": {
-           "color": "#2a3f5f"
-          },
-          "geo": {
-           "bgcolor": "white",
-           "lakecolor": "white",
-           "landcolor": "#E5ECF6",
-           "showlakes": true,
-           "showland": true,
-           "subunitcolor": "white"
-          },
-          "hoverlabel": {
-           "align": "left"
-          },
-          "hovermode": "closest",
-          "mapbox": {
-           "style": "light"
-          },
-          "paper_bgcolor": "white",
-          "plot_bgcolor": "#E5ECF6",
-          "polar": {
-           "angularaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "bgcolor": "#E5ECF6",
-           "radialaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           }
-          },
-          "scene": {
-           "xaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           },
-           "yaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           },
-           "zaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           }
-          },
-          "shapedefaults": {
-           "line": {
-            "color": "#2a3f5f"
-           }
-          },
-          "ternary": {
-           "aaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "baxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "bgcolor": "#E5ECF6",
-           "caxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           }
-          },
-          "title": {
-           "x": 0.05
-          },
-          "xaxis": {
-           "automargin": true,
-           "gridcolor": "white",
-           "linecolor": "white",
-           "ticks": "",
-           "title": {
-            "standoff": 15
-           },
-           "zerolinecolor": "white",
-           "zerolinewidth": 2
-          },
-          "yaxis": {
-           "automargin": true,
-           "gridcolor": "white",
-           "linecolor": "white",
-           "ticks": "",
-           "title": {
-            "standoff": 15
-           },
-           "zerolinecolor": "white",
-           "zerolinewidth": 2
-          }
-         }
-        },
-        "xaxis": {
-         "title": {
-          "text": "Value"
-         }
-        },
-        "yaxis": {
-         "title": {
-          "text": "Count"
-         }
-        }
-       }
-      },
-      "text/html": [
-       "
                                
                        
    "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
+   "source": [
+    "check_accuracy(results2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "check_accuracy(results2, deterministic=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
    "source": [
     "analyze_data(results=results2, t_ndx=200)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "        \n",
-       "        "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "linkText": "Export to plot.ly",
-        "plotlyServerURL": "https://plot.ly",
-        "showLink": false
-       },
-       "data": [
-        {
-         "marker": {
-          "color": [
-           0,
-           0,
-           0,
-           0,
-           16,
-           17,
-           32,
-           14,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           38,
-           30,
-           32,
-           38,
-           0,
-           0,
-           0,
-           0,
-           0,
-           2,
-           0,
-           0,
-           66,
-           42,
-           56,
-           52,
-           41,
-           47,
-           37,
-           45,
-           37,
-           35,
-           41,
-           50,
-           0,
-           0,
-           0,
-           0,
-           29,
-           24,
-           21,
-           18,
-           0,
-           0,
-           0,
-           0,
-           41,
-           38,
-           42,
-           35,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           30,
-           37,
-           50,
-           0,
-           0,
-           0,
-           0,
-           44,
-           38,
-           39,
-           42,
-           0,
-           0,
-           0,
-           0,
-           56,
-           58,
-           58,
-           59,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           42,
-           63,
-           53,
-           56,
-           20,
-           25,
-           24,
-           34,
-           24,
-           24,
-           14,
-           30,
-           38,
-           31,
-           30,
-           35,
-           33,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           24,
-           13,
-           24,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           29,
-           29,
-           21,
-           29,
-           54,
-           43,
-           46,
-           42,
-           46,
-           43,
-           53,
-           0,
-           0,
-           0,
-           3,
-           3,
-           0,
-           3,
-           0,
-           0,
-           0,
-           0,
-           44,
-           45,
-           55,
-           43,
-           26,
-           32,
-           31,
-           19,
-           12,
-           11,
-           13,
-           87,
-           16,
-           16,
-           16,
-           10,
-           12,
-           15,
-           12,
-           5,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           13,
-           27,
-           16,
-           49,
-           57,
-           67,
-           51,
-           0,
-           0,
-           0,
-           25,
-           26,
-           31,
-           18,
-           24,
-           1,
-           5,
-           4,
-           6,
-           19,
-           23,
-           20,
-           13,
-           15,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           29,
-           37,
-           40,
-           0,
-           0,
-           36,
-           38,
-           44,
-           49,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           27,
-           40,
-           25,
-           30,
-           0,
-           9,
-           22,
-           1,
-           1,
-           4,
-           0,
-           0,
-           0,
-           22,
-           17,
-           21,
-           8,
-           4,
-           7,
-           7,
-           12,
-           0,
-           0,
-           0,
-           20,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           3,
-           3,
-           0,
-           0,
-           32,
-           30,
-           35,
-           30,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           10,
-           14,
-           17,
-           9,
-           0,
-           0,
-           0,
-           3,
-           2,
-           7,
-           64,
-           60,
-           50,
-           49,
-           4,
-           4,
-           7,
-           10,
-           15,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           30,
-           8,
-           43,
-           0,
-           0,
-           0,
-           0,
-           42,
-           46,
-           59,
-           1,
-           7,
-           3,
-           68,
-           57,
-           55,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           47,
-           44,
-           47,
-           51,
-           14,
-           20,
-           14,
-           19,
-           10,
-           16,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           61,
-           66,
-           57,
-           21,
-           18,
-           19,
-           13,
-           23,
-           0,
-           0,
-           0,
-           0,
-           10,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           27,
-           26,
-           57,
-           63,
-           56,
-           66,
-           0,
-           0,
-           0,
-           0,
-           0,
-           2,
-           48,
-           60,
-           16,
-           22,
-           9,
-           4,
-           15,
-           9,
-           23,
-           24,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           12,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           9,
-           2,
-           0,
-           40,
-           23,
-           35,
-           23,
-           34,
-           20,
-           25,
-           29,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           42,
-           41,
-           53,
-           19,
-           42,
-           38,
-           32,
-           35,
-           0,
-           0,
-           0,
-           0,
-           31,
-           46,
-           29,
-           33,
-           40,
-           47,
-           49,
-           38,
-           29,
-           36,
-           27,
-           34,
-           10,
-           4,
-           4,
-           0,
-           1,
-           0,
-           0,
-           0,
-           45,
-           41,
-           5,
-           4,
-           5,
-           0,
-           50,
-           49,
-           19,
-           17,
-           7,
-           11,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           62,
-           68,
-           24,
-           16,
-           23,
-           17,
-           41,
-           43,
-           0,
-           0,
-           6,
-           0,
-           1,
-           0,
-           0,
-           0,
-           0,
-           0,
-           4,
-           0,
-           0,
-           0,
-           0,
-           3,
-           0,
-           20,
-           0,
-           0,
-           0,
-           0,
-           33,
-           35,
-           31,
-           48,
-           44,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           18,
-           72,
-           56,
-           0,
-           1,
-           0,
-           0,
-           0,
-           0,
-           0,
-           15,
-           17,
-           13,
-           0,
-           0,
-           12,
-           15,
-           14,
-           7,
-           8,
-           21,
-           20,
-           0,
-           0,
-           0,
-           0,
-           0,
-           12,
-           9,
-           8,
-           6,
-           3,
-           0,
-           0,
-           0,
-           0,
-           14,
-           17,
-           27,
-           61,
-           0,
-           3,
-           0,
-           36,
-           8,
-           8,
-           4,
-           7,
-           7,
-           0,
-           0,
-           0,
-           0,
-           24,
-           0,
-           0,
-           53,
-           57,
-           68,
-           0,
-           0,
-           0,
-           0,
-           49,
-           53,
-           46,
-           0,
-           18,
-           43,
-           52,
-           48,
-           67,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           7,
-           3,
-           11,
-           16,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           15,
-           57,
-           41,
-           0,
-           0,
-           0,
-           0,
-           0,
-           2,
-           0,
-           1,
-           1,
-           16,
-           0,
-           0,
-           53,
-           0,
-           0,
-           0,
-           51,
-           55,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           56,
-           38,
-           46,
-           30,
-           2,
-           39,
-           0,
-           0,
-           47,
-           57,
-           0,
-           3,
-           6,
-           0,
-           0,
-           10,
-           0,
-           0,
-           0,
-           0,
-           0,
-           9,
-           13,
-           0,
-           0,
-           0,
-           33,
-           38,
-           30,
-           37,
-           21,
-           12,
-           12,
-           11,
-           9,
-           0,
-           0,
-           0,
-           0,
-           0,
-           25,
-           13,
-           55,
-           0,
-           33,
-           39,
-           21,
-           0,
-           8,
-           0,
-           20,
-           35,
-           34,
-           34,
-           13,
-           0,
-           60,
-           54,
-           71,
-           0,
-           0,
-           0,
-           0,
-           0,
-           22,
-           0,
-           0,
-           30,
-           0,
-           0,
-           0,
-           0,
-           0,
-           8,
-           10,
-           11,
-           50,
-           61,
-           57,
-           0,
-           2,
-           4,
-           5,
-           0,
-           0,
-           0,
-           0,
-           39,
-           0,
-           8,
-           15,
-           0,
-           0,
-           28,
-           12,
-           38,
-           41,
-           0,
-           0,
-           0,
-           0,
-           24,
-           27,
-           0,
-           41,
-           36,
-           13,
-           3,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           44,
-           62,
-           52,
-           0,
-           0,
-           0,
-           41,
-           0,
-           0,
-           0,
-           0,
-           69,
-           0,
-           0,
-           0,
-           0,
-           30,
-           24,
-           22,
-           23,
-           0,
-           0,
-           17,
-           41,
-           0,
-           0,
-           6,
-           0,
-           29,
-           56,
-           0,
-           0,
-           0,
-           0,
-           51,
-           46,
-           49,
-           0,
-           24,
-           0,
-           0,
-           0,
-           0,
-           32,
-           46,
-           44,
-           42,
-           37,
-           0,
-           0,
-           28,
-           40,
-           10,
-           48,
-           0,
-           0,
-           15,
-           6,
-           14,
-           67,
-           56,
-           58,
-           8,
-           10,
-           0,
-           0,
-           42,
-           23,
-           0,
-           0,
-           18,
-           25,
-           52,
-           40,
-           5,
-           8,
-           37,
-           0,
-           8,
-           24,
-           13,
-           47,
-           18,
-           22,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           7,
-           43,
-           8,
-           0,
-           0,
-           35,
-           29,
-           51,
-           0,
-           31,
-           1,
-           0,
-           0,
-           0,
-           0,
-           12,
-           19,
-           24,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           41,
-           34,
-           0,
-           35,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           3,
-           8,
-           50,
-           0,
-           21,
-           6,
-           0,
-           76,
-           78,
-           77,
-           0,
-           13,
-           52,
-           0,
-           0,
-           0,
-           0,
-           0,
-           3,
-           23,
-           0,
-           0,
-           67,
-           50,
-           2,
-           9,
-           35,
-           53,
-           0,
-           0,
-           59,
-           81,
-           43,
-           0,
-           0,
-           0,
-           62,
-           48,
-           47,
-           0,
-           0,
-           0,
-           9,
-           0,
-           22,
-           19,
-           0,
-           20,
-           3,
-           0,
-           0,
-           37,
-           0,
-           0,
-           11,
-           17,
-           57,
-           0,
-           0,
-           0,
-           0,
-           40,
-           0,
-           0,
-           53,
-           0,
-           0,
-           26,
-           0,
-           0,
-           0,
-           35,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           27,
-           28,
-           56,
-           0,
-           0,
-           41,
-           38,
-           0,
-           0,
-           20,
-           4,
-           4,
-           0,
-           15,
-           51,
-           53,
-           0,
-           7,
-           5,
-           65,
-           0,
-           0,
-           35,
-           10,
-           6,
-           0,
-           0,
-           0,
-           41,
-           0,
-           0,
-           0,
-           6,
-           5,
-           35,
-           0,
-           0,
-           0,
-           0,
-           0,
-           9,
-           10,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           7,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           20,
-           0,
-           9,
-           22,
-           0,
-           0,
-           0,
-           5,
-           23,
-           10,
-           30,
-           0,
-           36
-          ],
-          "colorbar": {
-           "thickness": 20,
-           "title": {
-            "text": "A"
-           }
-          },
-          "colorscale": [
-           [
-            0,
-            "#0508b8"
-           ],
-           [
-            0.08333333333333333,
-            "#1910d8"
-           ],
-           [
-            0.16666666666666666,
-            "#3c19f0"
-           ],
-           [
-            0.25,
-            "#6b1cfb"
-           ],
-           [
-            0.3333333333333333,
-            "#981cfd"
-           ],
-           [
-            0.4166666666666667,
-            "#bf1cfd"
-           ],
-           [
-            0.5,
-            "#dd2bfd"
-           ],
-           [
-            0.5833333333333334,
-            "#f246fe"
-           ],
-           [
-            0.6666666666666666,
-            "#fc67fd"
-           ],
-           [
-            0.75,
-            "#fe88fc"
-           ],
-           [
-            0.8333333333333334,
-            "#fea5fd"
-           ],
-           [
-            0.9166666666666666,
-            "#febefe"
-           ],
-           [
-            1,
-            "#fec3fe"
-           ]
-          ],
-          "size": 5
-         },
-         "mode": "markers",
-         "name": "A",
-         "type": "scatter3d",
-         "x": [
-          -2.101682662963867,
-          -1.887513518333435,
-          -1.7570427656173706,
-          -1.8541388511657715,
-          1.8749754428863525,
-          1.80832040309906,
-          2.1825294494628906,
-          2.062222480773926,
-          -2.38004469871521,
-          -2.3056769371032715,
-          -2.2629430294036865,
-          -2.0936312675476074,
-          -1.9997928142547607,
-          -1.7547287940979004,
-          -1.6898266077041626,
-          -1.6704288721084595,
-          3.5905017852783203,
-          3.2578799724578857,
-          3.160881519317627,
-          3.4964303970336914,
-          -0.6913178563117981,
-          -1.0443613529205322,
-          -0.8108569979667664,
-          -0.5850074887275696,
-          -0.293684720993042,
-          0.0675533190369606,
-          -0.271133154630661,
-          0.018742907792329788,
-          4.4305853843688965,
-          4.508673667907715,
-          4.325611114501953,
-          4.611989498138428,
-          3.4338648319244385,
-          3.488844871520996,
-          3.289395570755005,
-          3.6204428672790527,
-          3.71138858795166,
-          3.857684850692749,
-          3.974630117416382,
-          4.003854274749756,
-          -3.9132473468780518,
-          -4.0064496994018555,
-          -3.8273096084594727,
-          -3.709832191467285,
-          2.3001842498779297,
-          2.2914557456970215,
-          2.0052285194396973,
-          2.2628118991851807,
-          -1.980513334274292,
-          -2.0251479148864746,
-          -1.7515032291412354,
-          -2.1317431926727295,
-          3.794757843017578,
-          3.3874454498291016,
-          3.7147281169891357,
-          3.586693048477173,
-          -2.8868887424468994,
-          -3.001088857650757,
-          -2.9482247829437256,
-          -2.6325371265411377,
-          -4.134808540344238,
-          -3.772261619567871,
-          -4.165527820587158,
-          -3.994203805923462,
-          -4.163450241088867,
-          3.875136137008667,
-          3.7112133502960205,
-          3.765407085418701,
-          -2.4520857334136963,
-          -2.657001495361328,
-          -2.6662352085113525,
-          -2.8774945735931396,
-          3.942436933517456,
-          3.8352348804473877,
-          3.6082088947296143,
-          4.133811950683594,
-          -3.171978712081909,
-          -3.221795082092285,
-          -3.0311388969421387,
-          -2.9480156898498535,
-          4.4702277183532715,
-          4.6418352127075195,
-          4.766424655914307,
-          4.669127941131592,
-          -3.4734950065612793,
-          -3.1584713459014893,
-          -3.2440361976623535,
-          -3.3585245609283447,
-          -2.429314613342285,
-          -2.2996301651000977,
-          -2.1834332942962646,
-          -1.2482850551605225,
-          -0.8828672766685486,
-          -0.8636268973350525,
-          4.625131607055664,
-          5,
-          4.731442928314209,
-          4.639413356781006,
-          2.726271152496338,
-          2.482100486755371,
-          2.630417823791504,
-          2.613208293914795,
-          2.359410285949707,
-          2.4850215911865234,
-          2.0713677406311035,
-          2.9034955501556396,
-          3.2096197605133057,
-          3.0044784545898438,
-          3.031195640563965,
-          2.8652327060699463,
-          3.303494453430176,
-          -0.9179192781448364,
-          -1.1669803857803345,
-          -1.2644528150558472,
-          -1.0285327434539795,
-          -0.8682996034622192,
-          -1.0111645460128784,
-          -1.1425732374191284,
-          -0.9068978428840637,
-          1.6444306373596191,
-          1.5535091161727905,
-          1.877994418144226,
-          -4.233823299407959,
-          -4.286869049072266,
-          -4.4695281982421875,
-          -4.121842384338379,
-          -1.4972978830337524,
-          -0.9989351034164429,
-          -1.422027349472046,
-          -1.2346546649932861,
-          -2.2228097915649414,
-          -2.000976085662842,
-          -2.127882480621338,
-          -4.581174373626709,
-          -4.083948135375977,
-          2.5844061374664307,
-          2.6696746349334717,
-          2.439190149307251,
-          2.836972236633301,
-          3.768427848815918,
-          3.901214361190796,
-          4.03761625289917,
-          3.712953805923462,
-          3.7559714317321777,
-          3.856983184814453,
-          4.166917324066162,
-          -2.2912299633026123,
-          -2.089019775390625,
-          -1.982771635055542,
-          0.2804890275001526,
-          0.14649292826652527,
-          -0.02719704993069172,
-          0.35809698700904846,
-          -0.09706947952508926,
-          -0.06142881140112877,
-          -0.6113005876541138,
-          -0.263994425535202,
-          4.316342830657959,
-          4.358631610870361,
-          4.577394962310791,
-          4.1251115798950195,
-          2.637986421585083,
-          2.9547457695007324,
-          2.78865909576416,
-          1.622883915901184,
-          1.6951839923858643,
-          1.6690202951431274,
-          1.4459738731384277,
-          5,
-          1.4305493831634521,
-          1.2514207363128662,
-          1.230926275253296,
-          1.0252352952957153,
-          1.0430431365966797,
-          1.0417221784591675,
-          1.277311086654663,
-          0.8228275179862976,
-          -2.6111531257629395,
-          -0.8876737952232361,
-          -0.6530675888061523,
-          -0.8721553087234497,
-          -1.1404987573623657,
-          -3.7799670696258545,
-          -3.7419769763946533,
-          -3.7747626304626465,
-          -3.765298843383789,
-          -1.3552204370498657,
-          -1.448533058166504,
-          1.976080060005188,
-          2.3143045902252197,
-          2.006865978240967,
-          4.718459129333496,
-          5,
-          5,
-          5,
-          -0.21346406638622284,
-          -0.3900603652000427,
-          -0.7078602910041809,
-          2.546725273132324,
-          2.2419445514678955,
-          2.62286114692688,
-          2.31475830078125,
-          2.815099000930786,
-          0.17036111652851105,
-          0.35399267077445984,
-          0.22068481147289276,
-          0.5616357326507568,
-          2.168175220489502,
-          2.396758794784546,
-          2.032904624938965,
-          1.9458956718444824,
-          1.672920823097229,
-          -1.9237370491027832,
-          -1.7913600206375122,
-          -2.1189286708831787,
-          -4.244471549987793,
-          -4.725438117980957,
-          -4.62848424911499,
-          -4.6635870933532715,
-          -4.4014410972595215,
-          -0.39015352725982666,
-          -3.62326979637146,
-          -3.6562275886535645,
-          -3.3212900161743164,
-          -2.650617837905884,
-          -2.9336674213409424,
-          -2.5238282680511475,
-          -2.854623556137085,
-          3.359579563140869,
-          3.281346321105957,
-          3.4625306129455566,
-          -1.6233601570129395,
-          -1.4790972471237183,
-          3.500380516052246,
-          4.63165283203125,
-          4.554935932159424,
-          4.720632076263428,
-          -0.6211792826652527,
-          -0.9868704080581665,
-          -0.2744942903518677,
-          -0.23266896605491638,
-          -0.4965898394584656,
-          -0.32649561762809753,
-          -1.423138976097107,
-          -1.7905021905899048,
-          -1.4218405485153198,
-          -3.732257604598999,
-          -3.5719547271728516,
-          -3.941251754760742,
-          -3.9911673069000244,
-          2.76228666305542,
-          3.034092664718628,
-          2.5956602096557617,
-          3.0007383823394775,
-          -2.4493157863616943,
-          1.5511066913604736,
-          1.313583254814148,
-          0.09208802133798599,
-          0.2716134786605835,
-          0.33897581696510315,
-          -2.9448187351226807,
-          -3.1763267517089844,
-          -2.965965747833252,
-          2.055418014526367,
-          1.7646766901016235,
-          2.0915160179138184,
-          1.9841140508651733,
-          0.7309734225273132,
-          0.8535610437393188,
-          1.1015901565551758,
-          1.1043431758880615,
-          -3.231236696243286,
-          -3.466428518295288,
-          -3.2163987159729004,
-          1.5548237562179565,
-          -2.620222806930542,
-          -2.8454513549804688,
-          -2.381518602371216,
-          -1.7730915546417236,
-          -2.034778118133545,
-          -1.792545199394226,
-          0.23506808280944824,
-          0.15298357605934143,
-          -0.12086783349514008,
-          -0.0009967255173251033,
-          3.0469939708709717,
-          3.3803346157073975,
-          3.5396389961242676,
-          3.4276304244995117,
-          -3.4141626358032227,
-          -3.28906512260437,
-          -3.1413207054138184,
-          -2.9626805782318115,
-          -3.5331058502197266,
-          -2.7990610599517822,
-          -2.5825302600860596,
-          1.0379852056503296,
-          1.3705062866210938,
-          1.090142846107483,
-          1.1630381345748901,
-          -0.7285075783729553,
-          -0.5913762450218201,
-          -0.41392114758491516,
-          0.37851566076278687,
-          0.2083987444639206,
-          0.536102294921875,
-          4.585145950317383,
-          4.314233303070068,
-          4.690446853637695,
-          4.508464336395264,
-          0.5570757389068604,
-          0.7471429109573364,
-          0.8703640103340149,
-          0.735404372215271,
-          1.950286626815796,
-          -2.459625482559204,
-          -2.3318281173706055,
-          -4.318643569946289,
-          -2.7759718894958496,
-          -2.491568088531494,
-          -2.487426280975342,
-          3.034865140914917,
-          1.392642855644226,
-          3.841580390930176,
-          -1.7278932332992554,
-          -1.9114822149276733,
-          -1.5143166780471802,
-          -1.7121433019638062,
-          4.3564581871032715,
-          4.085196018218994,
-          4.489546298980713,
-          0.03738686069846153,
-          0.4072064459323883,
-          0.3515777885913849,
-          4.740171909332275,
-          5,
-          5,
-          -3.7102108001708984,
-          -3.5805227756500244,
-          -3.250467300415039,
-          -3.6381490230560303,
-          -5,
-          -4.672852039337158,
-          -5,
-          -5,
-          3.9007976055145264,
-          4.133395671844482,
-          4.175212860107422,
-          4.236222267150879,
-          1.3414992094039917,
-          1.545016884803772,
-          1.7293202877044678,
-          1.7089415788650513,
-          1.5792618989944458,
-          1.938088297843933,
-          -4.447057247161865,
-          -4.589023590087891,
-          -4.721797943115234,
-          -5,
-          -4.662319183349609,
-          -4.697544574737549,
-          -4.536230564117432,
-          5,
-          5,
-          5,
-          2.2066378593444824,
-          1.9319493770599365,
-          2.258507013320923,
-          2.2539353370666504,
-          2.732060194015503,
-          -2.9786436557769775,
-          -2.8140065670013428,
-          -2.7915046215057373,
-          -2.627666711807251,
-          0.9115676283836365,
-          -0.532065212726593,
-          -0.5675407648086548,
-          -0.5571060180664062,
-          -2.564318895339966,
-          -4.4288010597229,
-          -4.226881980895996,
-          -4.208695411682129,
-          -4.0041913986206055,
-          -4.3078436851501465,
-          -4.320655345916748,
-          2.809098720550537,
-          2.785369634628296,
-          5,
-          4.710524559020996,
-          5,
-          5,
-          -4.560494422912598,
-          -4.414031982421875,
-          -4.710155963897705,
-          0.027450760826468468,
-          -0.09511373937129974,
-          0.3111163377761841,
-          4.47791862487793,
-          4.311753749847412,
-          2.278442859649658,
-          2.3220880031585693,
-          1.0773473978042603,
-          0.6730288863182068,
-          1.7689932584762573,
-          1.6555397510528564,
-          1.9800528287887573,
-          2.0714244842529297,
-          -0.6446894407272339,
-          -0.43192827701568604,
-          -3.7548670768737793,
-          -3.300417423248291,
-          -1.1125221252441406,
-          -0.6115882396697998,
-          -2.978154420852661,
-          -3.3732173442840576,
-          -3.242103338241577,
-          1.2596628665924072,
-          -3.6130688190460205,
-          -3.133923292160034,
-          -3.3986732959747314,
-          -3.5859854221343994,
-          -3.520331621170044,
-          -3.851719617843628,
-          -3.865055561065674,
-          0.5590431690216064,
-          0.6265019774436951,
-          -0.03324676677584648,
-          2.4285573959350586,
-          2.5746889114379883,
-          2.7181601524353027,
-          2.378453016281128,
-          3.447817087173462,
-          2.445730209350586,
-          2.310244083404541,
-          2.6667962074279785,
-          -4.695241928100586,
-          -5,
-          -4.548861980438232,
-          -0.33884161710739136,
-          -0.5452479720115662,
-          -0.44265344738960266,
-          -1.2199991941452026,
-          -1.154729962348938,
-          -0.9447287917137146,
-          -0.8053910136222839,
-          3.9948537349700928,
-          3.997985601425171,
-          4.207438945770264,
-          2.2636070251464844,
-          2.816199541091919,
-          3.2298614978790283,
-          3.0754427909851074,
-          3.1898257732391357,
-          -2.0362820625305176,
-          -1.695935845375061,
-          -2.8119935989379883,
-          -2.5727436542510986,
-          3.0221409797668457,
-          3.255614995956421,
-          3.368884563446045,
-          3.2635715007781982,
-          4.541206359863281,
-          3.801682472229004,
-          4.062766075134277,
-          3.6565608978271484,
-          2.893397092819214,
-          3.020784378051758,
-          2.637270450592041,
-          2.978060007095337,
-          0.706810474395752,
-          0.7772684097290039,
-          0.8003952503204346,
-          -0.22241777181625366,
-          -0.1280590295791626,
-          -2.9058010578155518,
-          -0.3929927349090576,
-          -1.6517680883407593,
-          4.374144554138184,
-          4.208742141723633,
-          1.0169200897216797,
-          0.6947392225265503,
-          0.6771532297134399,
-          -4.339812278747559,
-          3.8944802284240723,
-          3.9562127590179443,
-          2.033257246017456,
-          1.9155778884887695,
-          1.3438067436218262,
-          1.0825568437576294,
-          -1.7339566946029663,
-          -1.3611284494400024,
-          -1.3337901830673218,
-          -1.2508692741394043,
-          -2.2653911113739014,
-          -2.2419567108154297,
-          -3.1367833614349365,
-          -1.81843900680542,
-          -2.1527793407440186,
-          -1.6042685508728027,
-          -1.647326946258545,
-          4.628890037536621,
-          4.72548246383667,
-          2.286425828933716,
-          1.9910200834274292,
-          2.3555381298065186,
-          2.0931544303894043,
-          3.7614736557006836,
-          3.912747859954834,
-          -4.636204242706299,
-          -4.488008499145508,
-          0.4070380926132202,
-          -0.13350971043109894,
-          0.19662299752235413,
-          0.13111887872219086,
-          -0.7308740019798279,
-          -0.5450983643531799,
-          -0.6622709035873413,
-          0.003929497674107552,
-          0.24031925201416016,
-          -0.22965681552886963,
-          -0.0660269558429718,
-          -0.17119362950325012,
-          -0.18464888632297516,
-          -0.0036181053146719933,
-          -0.7095974087715149,
-          1.9864104986190796,
-          -2.5475826263427734,
-          -2.7074756622314453,
-          -2.891202926635742,
-          -2.509110927581787,
-          2.9578778743743896,
-          3.029849052429199,
-          2.3168818950653076,
-          3.536309242248535,
-          3.2530806064605713,
-          -3.741461992263794,
-          -2.821955680847168,
-          -3.082059383392334,
-          -2.9099485874176025,
-          -2.7286927700042725,
-          -0.6247063279151917,
-          -0.3622240722179413,
-          -0.4216044247150421,
-          1.6000310182571411,
-          5,
-          5,
-          -1.6445059776306152,
-          0.2146318256855011,
-          -4.1633453369140625,
-          -4.1257829666137695,
-          -3.817925214767456,
-          -3.784167766571045,
-          -1.2936067581176758,
-          1.8930131196975708,
-          1.5624295473098755,
-          1.5452696084976196,
-          -1.8079805374145508,
-          -1.6008325815200806,
-          1.2422401905059814,
-          1.4802297353744507,
-          1.4433354139328003,
-          1.5805444717407227,
-          0.7913298010826111,
-          2.578340768814087,
-          2.6075079441070557,
-          -0.813774585723877,
-          -5,
-          -5,
-          -4.7412261962890625,
-          -4.72172212600708,
-          1.3737642765045166,
-          1.2108287811279297,
-          1.3925875425338745,
-          1.4203695058822632,
-          0.5987880825996399,
-          -4.71983003616333,
-          -5,
-          -5,
-          -4.692821025848389,
-          1.909011960029602,
-          1.7303102016448975,
-          1.6846473217010498,
-          5,
-          -3.5527470111846924,
-          0.37845441699028015,
-          -1.9841102361679077,
-          3.145871162414551,
-          1.289706826210022,
-          0.7273845076560974,
-          0.720970630645752,
-          1.0219862461090088,
-          0.8861194849014282,
-          -4.596095085144043,
-          -4.253779888153076,
-          -4.743481159210205,
-          -1.5359901189804077,
-          3.121032953262329,
-          -4.488008499145508,
-          -1.1460216045379639,
-          4.6934332847595215,
-          4.375402450561523,
-          4.680056095123291,
-          -4.230134010314941,
-          -3.7863848209381104,
-          -4.4221673011779785,
-          -4.591073989868164,
-          4.1638264656066895,
-          4.340243339538574,
-          4.488320350646973,
-          -2.5075998306274414,
-          1.917682409286499,
-          4.661116600036621,
-          4.636397361755371,
-          4.488320350646973,
-          5,
-          -3.489121437072754,
-          -1.138638973236084,
-          -0.7274905443191528,
-          -4.574654579162598,
-          -4.382515907287598,
-          -3.1639509201049805,
-          -2.7766637802124023,
-          0.7139411568641663,
-          0.4993683397769928,
-          0.7703021764755249,
-          0.901824951171875,
-          -1.5355284214019775,
-          -2.1874425411224365,
-          -2.3504247665405273,
-          -4.327395915985107,
-          -2.3662376403808594,
-          -3.6765761375427246,
-          1.808962345123291,
-          4.351280689239502,
-          4.706614017486572,
-          -3.448230266571045,
-          -3.3269059658050537,
-          -1.3753197193145752,
-          -1.1046783924102783,
-          -1.4444420337677002,
-          0.29257264733314514,
-          0.009619895368814468,
-          0.32545214891433716,
-          0.23237977921962738,
-          1.4445356130599976,
-          -1.2714718580245972,
-          -1.4109042882919312,
-          4.735227108001709,
-          -3.157381772994995,
-          -5,
-          -4.624974727630615,
-          4.58084774017334,
-          4.646906852722168,
-          -4.253415107727051,
-          -3.6714272499084473,
-          -4.048503875732422,
-          -3.91367769241333,
-          -0.662963330745697,
-          -0.45707225799560547,
-          -0.3023490607738495,
-          -0.10872425138950348,
-          -0.40253975987434387,
-          -0.7720760107040405,
-          -2.228641986846924,
-          -2.0955162048339844,
-          -1.9311330318450928,
-          4.527668476104736,
-          4.4020185470581055,
-          4.253148078918457,
-          4.159819602966309,
-          0.06420236825942993,
-          4.135446548461914,
-          -0.9258043766021729,
-          -0.8058002591133118,
-          4.537054061889648,
-          4.744240760803223,
-          -0.8789688944816589,
-          0.3651331961154938,
-          0.7293714880943298,
-          -0.06956324726343155,
-          -0.08140537887811661,
-          1.721306324005127,
-          -3.6552634239196777,
-          -3.3976213932037354,
-          -3.114668607711792,
-          -2.9648706912994385,
-          -2.7460291385650635,
-          0.9609786868095398,
-          1.0764851570129395,
-          -2.625852346420288,
-          -2.673210859298706,
-          -2.3928139209747314,
-          3.227536678314209,
-          3.531540632247925,
-          3.7912299633026123,
-          3.446416139602661,
-          1.760624647140503,
-          1.2702659368515015,
-          1.4204895496368408,
-          1.1356712579727173,
-          1.1212012767791748,
-          -0.7966426014900208,
-          -4.596960067749023,
-          -2.358410358428955,
-          -2.481785297393799,
-          -2.317129611968994,
-          2.1517908573150635,
-          1.9424786567687988,
-          4.65165901184082,
-          -4.577237129211426,
-          3.162456750869751,
-          3.290433168411255,
-          3.418100118637085,
-          -3.9114646911621094,
-          0.9896045327186584,
-          -0.19112993776798248,
-          2.6939661502838135,
-          3.0167806148529053,
-          2.893794298171997,
-          3.0206243991851807,
-          1.2407162189483643,
-          -0.46050986647605896,
-          5,
-          4.663840293884277,
-          5,
-          -3.103480339050293,
-          -2.277939558029175,
-          -2.125932216644287,
-          -1.824216604232788,
-          -2.0925588607788086,
-          2.68068528175354,
-          -4.7859697341918945,
-          -4.575015544891357,
-          2.8520922660827637,
-          -3.2595419883728027,
-          -4.203586101531982,
-          -4.2565202713012695,
-          -3.767660140991211,
-          -3.32572078704834,
-          0.5733931660652161,
-          0.5859797596931458,
-          0.6658535599708557,
-          4.556863307952881,
-          5,
-          5,
-          -2.477255344390869,
-          0.25908347964286804,
-          0.25868678092956543,
-          0.49322885274887085,
-          -5,
-          -0.1877877414226532,
-          -5,
-          -5,
-          3.983049154281616,
-          -2.6407032012939453,
-          0.5915303230285645,
-          1.0867373943328857,
-          -1.214605450630188,
-          -1.4895960092544556,
-          2.3244974613189697,
-          1.0752484798431396,
-          3.5134105682373047,
-          3.492990732192993,
-          -4.003303050994873,
-          -4.055683612823486,
-          -4.244694709777832,
-          -4.091361999511719,
-          2.220043897628784,
-          2.544774293899536,
-          -5,
-          3.5021090507507324,
-          3.226494312286377,
-          1.4538578987121582,
-          0.25620901584625244,
-          -4.075596809387207,
-          -4.281928539276123,
-          -4.1883087158203125,
-          -4.555990695953369,
-          -4.334146976470947,
-          -4.165266990661621,
-          4.628626346588135,
-          4.596282482147217,
-          4.575169086456299,
-          -4.123189449310303,
-          -3.8626294136047363,
-          -3.69762921333313,
-          3.6556200981140137,
-          -4.1212477684021,
-          -3.785296678543091,
-          -1.9285658597946167,
-          -3.4919838905334473,
-          5,
-          -1.8179099559783936,
-          -4.580845355987549,
-          -4.697874546051025,
-          -4.374136447906494,
-          2.7386975288391113,
-          3.034958839416504,
-          2.8929836750030518,
-          2.8669273853302,
-          -5,
-          -1.5589079856872559,
-          1.9696201086044312,
-          3.9466171264648438,
-          -3.894467353820801,
-          -1.4353413581848145,
-          0.6438999772071838,
-          -3.559412717819214,
-          2.898449182510376,
-          4.226627349853516,
-          -5,
-          -5,
-          -4.580845355987549,
-          -2.0328192710876465,
-          4.1754069328308105,
-          4.199225902557373,
-          4.34015417098999,
-          -2.9041290283203125,
-          2.497323513031006,
-          -1.7650561332702637,
-          -0.5644856095314026,
-          -5,
-          -5,
-          3.0372588634490967,
-          3.8829185962677,
-          3.6070923805236816,
-          3.8541207313537598,
-          3.8192059993743896,
-          -2.6382784843444824,
-          -4.700376033782959,
-          2.501884937286377,
-          4.065597057342529,
-          1.0171412229537964,
-          5,
-          -4.651655673980713,
-          -0.8031032681465149,
-          1.2622673511505127,
-          1.2936519384384155,
-          1.369748592376709,
-          4.189074516296387,
-          4.076688766479492,
-          5,
-          0.7270625233650208,
-          0.995764970779419,
-          -0.8975422382354736,
-          -1.5903971195220947,
-          3.329392194747925,
-          3.4523019790649414,
-          -1.0810967683792114,
-          -0.5812257528305054,
-          2.644548177719116,
-          2.6585214138031006,
-          5,
-          3.7732388973236084,
-          0.9950934052467346,
-          0.8841180801391602,
-          3.8183670043945312,
-          -0.6460126042366028,
-          2.1103804111480713,
-          2.3608930110931396,
-          1.3835891485214233,
-          3.4795989990234375,
-          1.769286036491394,
-          1.7716087102890015,
-          -5,
-          -5,
-          -5,
-          -1.426405906677246,
-          -2.7312746047973633,
-          -5,
-          0.47139957547187805,
-          3.8471028804779053,
-          0.7896639108657837,
-          -1.2268297672271729,
-          -4.720064640045166,
-          2.7558088302612305,
-          3.023494243621826,
-          3.7829294204711914,
-          -1.891106128692627,
-          3.048088550567627,
-          0.008336871862411499,
-          0.07599930465221405,
-          -1.3721232414245605,
-          -1.032981276512146,
-          -0.6021665930747986,
-          1.735460877418518,
-          1.5383501052856445,
-          2.478435516357422,
-          -3.304556131362915,
-          -2.378432035446167,
-          -0.4857358932495117,
-          -2.097623586654663,
-          -3.2147445678710938,
-          -1.8128300905227661,
-          3.589271306991577,
-          3.373690366744995,
-          -3.5193681716918945,
-          3.53788161277771,
-          -1.1633410453796387,
-          -3.841488838195801,
-          -3.562544822692871,
-          -5,
-          -4.628747463226318,
-          -0.3776344060897827,
-          -1.9576623439788818,
-          -2.3299407958984375,
-          -2.3134829998016357,
-          0.5879091620445251,
-          0.39716675877571106,
-          5,
-          -4.527527809143066,
-          2.8390586376190186,
-          0.3319953382015228,
-          -0.2031165361404419,
-          5,
-          5,
-          5,
-          -5,
-          2.2759742736816406,
-          4.30157470703125,
-          -0.7995855808258057,
-          -0.05464247241616249,
-          -1.3260889053344727,
-          -1.0919172763824463,
-          -1.5666868686676025,
-          0.6270329356193542,
-          2.468057155609131,
-          -2.5841712951660156,
-          -4.339723110198975,
-          5,
-          5,
-          0.5067524909973145,
-          0.7723978161811829,
-          3.510948657989502,
-          4.363494873046875,
-          -3.0252578258514404,
-          -1.2719022035598755,
-          4.58084774017334,
-          5,
-          4.526966571807861,
-          -5,
-          -5,
-          -5,
-          5,
-          4.227243900299072,
-          4.085610389709473,
-          -4.363025188446045,
-          -1.356877088546753,
-          -1.0370725393295288,
-          1.1098798513412476,
-          -1.7669402360916138,
-          3.0309200286865234,
-          1.8378273248672485,
-          -1.0789508819580078,
-          1.8391550779342651,
-          0.4916764497756958,
-          -3.601686716079712,
-          -0.24966329336166382,
-          4.12544059753418,
-          -5,
-          -5,
-          1.536503791809082,
-          1.7359037399291992,
-          5,
-          -3.840538263320923,
-          -5,
-          -5,
-          -5,
-          4.124938011169434,
-          -4.646697998046875,
-          -5,
-          4.167131423950195,
-          -3.3831329345703125,
-          -3.5020036697387695,
-          3.266669988632202,
-          -0.9436191916465759,
-          -1.5299025774002075,
-          -1.982384204864502,
-          3.6774818897247314,
-          -2.2120511531829834,
-          -0.3448413610458374,
-          -3.386986017227173,
-          -3.1074790954589844,
-          -0.4411892294883728,
-          -0.3736647963523865,
-          -5,
-          -5,
-          -1.2011436223983765,
-          -1.1121392250061035,
-          -2.1613833904266357,
-          -2.2924811840057373,
-          3.104656934738159,
-          2.610442638397217,
-          5,
-          -5,
-          -2.3681676387786865,
-          3.672323226928711,
-          3.7326676845550537,
-          0.1613098382949829,
-          0.2413194328546524,
-          1.3728821277618408,
-          0.4339759051799774,
-          0.35695144534111023,
-          -2.493479013442993,
-          2.1896910667419434,
-          4.700502395629883,
-          5,
-          -1.016597032546997,
-          0.6210448145866394,
-          0.6637445688247681,
-          5,
-          -1.0216628313064575,
-          -0.23358485102653503,
-          3.3018922805786133,
-          1.8105369806289673,
-          0.955568790435791,
-          -3.7231528759002686,
-          -3.9804978370666504,
-          -1.2900493144989014,
-          4.1124267578125,
-          -3.540820360183716,
-          -5,
-          -3.8975656032562256,
-          1.2156816720962524,
-          0.7590240836143494,
-          3.5594608783721924,
-          -3.283069372177124,
-          -5,
-          -3.2769768238067627,
-          0.1670776754617691,
-          -0.7176233530044556,
-          0.9799598455429077,
-          1.3872452974319458,
-          -2.0572428703308105,
-          -3.3091535568237305,
-          -1.3487980365753174,
-          -4.625357627868652,
-          -2.012728691101074,
-          -5,
-          0.8194661736488342,
-          -1.579920768737793,
-          -1.5731505155563354,
-          -4.639402389526367,
-          -1.7494895458221436,
-          -3.0217342376708984,
-          -1.5556175708770752,
-          2.022423028945923,
-          -2.8629543781280518,
-          1.2468470335006714,
-          1.9912384748458862,
-          -1.0789836645126343,
-          -0.08867280930280685,
-          -1.3601857423782349,
-          0.519882321357727,
-          2.222944498062134,
-          0.5680000185966492,
-          2.373995542526245,
-          -2.9980807304382324,
-          3.2855708599090576
-         ],
-         "y": [
-          -0.9644528031349182,
-          -0.5014916062355042,
-          -0.9228641390800476,
-          -0.9955595135688782,
-          0.2492223083972931,
-          0.057115908712148666,
-          -0.16631139814853668,
-          -0.06584170460700989,
-          0.10396039485931396,
-          -0.31133314967155457,
-          -0.041115161031484604,
-          -0.04820563644170761,
-          -0.949433445930481,
-          -0.8801339268684387,
-          -0.5981799364089966,
-          -0.9736314415931702,
-          -0.43101099133491516,
-          -0.4243756830692291,
-          -0.4731490910053253,
-          -0.6577183604240417,
-          0.2146396040916443,
-          0.5974391102790833,
-          0.2125028818845749,
-          0.43337777256965637,
-          0.4884589910507202,
-          0.6967326402664185,
-          0.6029126048088074,
-          0.23680882155895233,
-          0.6917465329170227,
-          0.4850515127182007,
-          0.18376414477825165,
-          0.48162636160850525,
-          -0.6320042610168457,
-          -0.7730603814125061,
-          -0.9154437184333801,
-          -0.9334678649902344,
-          -0.937618613243103,
-          -0.6324880123138428,
-          -0.9645949602127075,
-          -0.8584909439086914,
-          -0.021662965416908264,
-          -0.19917190074920654,
-          -0.40617337822914124,
-          0.01375947892665863,
-          0.6443992257118225,
-          0.2646108865737915,
-          0.3110242187976837,
-          0.4987179636955261,
-          0.2822154462337494,
-          0.22283178567886353,
-          0.3027957081794739,
-          0.48568424582481384,
-          -0.004136862698942423,
-          0.24444110691547394,
-          0.3975219428539276,
-          0.06679671257734299,
-          0.3392251133918762,
-          0.4178438186645508,
-          0.0005444167763926089,
-          0.26371410489082336,
-          0.6860716342926025,
-          0.5389652252197266,
-          0.2810700237751007,
-          0.29595068097114563,
-          -0.0028515858575701714,
-          -0.914943516254425,
-          -0.8317362070083618,
-          -0.5160342454910278,
-          0.1723458170890808,
-          -0.24010129272937775,
-          0.11037452518939972,
-          -0.04924260079860687,
-          0.9950059056282043,
-          0.5880264043807983,
-          0.590488612651825,
-          0.6281570792198181,
-          -0.1020033061504364,
-          0.12514355778694153,
-          0.26880502700805664,
-          -0.06841706484556198,
-          0.07446050643920898,
-          -0.19104579091072083,
-          0.17392556369304657,
-          -0.010952293872833252,
-          0.8551027774810791,
-          0.8424614071846008,
-          0.4966377019882202,
-          0.9818977117538452,
-          -0.7847625613212585,
-          -0.3964613676071167,
-          -0.7274291515350342,
-          0.9931104183197021,
-          0.990178644657135,
-          0.9477092027664185,
-          -0.7309668660163879,
-          -0.8255475759506226,
-          -0.5082603693008423,
-          -0.8930004835128784,
-          0.4194926917552948,
-          0.20234280824661255,
-          0.382354199886322,
-          0.04821555316448212,
-          -0.22185000777244568,
-          -0.2684493958950043,
-          -0.2542339563369751,
-          -0.6113150715827942,
-          -0.749304473400116,
-          0.9967495203018188,
-          0.6226924657821655,
-          0.9509856700897217,
-          0.9614278674125671,
-          -0.5285993218421936,
-          -0.26093634963035583,
-          -0.44633013010025024,
-          -0.7162333726882935,
-          0.37243372201919556,
-          0.7037805914878845,
-          0.5981281399726868,
-          0.8595001101493835,
-          -0.2422453761100769,
-          -0.2717275023460388,
-          -0.342314749956131,
-          -0.36787569522857666,
-          -0.0067490083165466785,
-          -0.12062981724739075,
-          -0.10932574421167374,
-          0.7730425596237183,
-          0.7197641730308533,
-          0.5498804450035095,
-          0.8838788866996765,
-          -0.4682152271270752,
-          -0.8429638743400574,
-          -0.7152993083000183,
-          0.16587448120117188,
-          0.17635276913642883,
-          0.4282841980457306,
-          -0.06333015114068985,
-          0.0034832851961255074,
-          0.09057462960481644,
-          -0.7059872150421143,
-          -0.3774401545524597,
-          -0.6989597082138062,
-          -0.5003755688667297,
-          0.7566817402839661,
-          0.44234010577201843,
-          0.45263102650642395,
-          0.5166338682174683,
-          0.16024252772331238,
-          0.5950716137886047,
-          -0.18073487281799316,
-          0.0018878098344430327,
-          -0.2708609104156494,
-          -0.25196877121925354,
-          -0.11142797023057938,
-          -0.43370550870895386,
-          -0.15656259655952454,
-          -0.039399806410074234,
-          0.46687936782836914,
-          0.32242169976234436,
-          0.6205798983573914,
-          0.6568413972854614,
-          0.2932124137878418,
-          0.286562442779541,
-          0.5216072797775269,
-          -0.9623097777366638,
-          -0.9981469511985779,
-          -0.6364484429359436,
-          -0.9993236660957336,
-          -0.07432012259960175,
-          0.42001017928123474,
-          0.34383609890937805,
-          -0.08206897974014282,
-          0.17495545744895935,
-          -0.6187282204627991,
-          -0.17506438493728638,
-          -0.16744637489318848,
-          -0.3097870349884033,
-          -0.4293544590473175,
-          -0.34442025423049927,
-          -0.08278083801269531,
-          0.040901072323322296,
-          -0.20948979258537292,
-          -0.8171733617782593,
-          -0.6349214315414429,
-          -0.63686603307724,
-          -0.34542766213417053,
-          0.9818851351737976,
-          0.7231388688087463,
-          -0.4980590343475342,
-          -0.5276463031768799,
-          -0.6645891070365906,
-          0.6138550639152527,
-          0.7307949662208557,
-          0.565581202507019,
-          0.8974766731262207,
-          0.2210589051246643,
-          -0.04366305470466614,
-          0.2200208306312561,
-          0.9976720213890076,
-          0.9910743236541748,
-          0.04993176832795143,
-          0.2965986132621765,
-          0.3659362196922302,
-          -0.6525683999061584,
-          -0.4112653136253357,
-          -0.9211462140083313,
-          -0.8424838185310364,
-          -0.9637735486030579,
-          -0.9835269451141357,
-          -0.9970294237136841,
-          -0.9710226655006409,
-          -0.9704429507255554,
-          -0.000344896805472672,
-          0.21921929717063904,
-          -0.13210053741931915,
-          0.1057116687297821,
-          -0.5773980617523193,
-          -0.8491992354393005,
-          -0.9644528031349182,
-          -0.9644528031349182,
-          0.18421055376529694,
-          -0.34306600689888,
-          -0.6099089980125427,
-          -0.522908627986908,
-          0.5520397424697876,
-          0.6777611374855042,
-          0.7900189757347107,
-          0.8836524486541748,
-          0.998988151550293,
-          0.6972864270210266,
-          0.9325829744338989,
-          -0.7420949339866638,
-          -0.8717162013053894,
-          0.3239639103412628,
-          0.3646659553050995,
-          0.18762114644050598,
-          0.4323038160800934,
-          0.49042609333992004,
-          0.4172574579715729,
-          -0.4056946337223053,
-          -0.7565715909004211,
-          -0.8770694732666016,
-          -0.6713137626647949,
-          0.3914759159088135,
-          0.5560338497161865,
-          0.401335746049881,
-          0.6967827081680298,
-          0.5735718011856079,
-          0.9659417867660522,
-          0.4600377678871155,
-          -0.7376769781112671,
-          -0.7612969279289246,
-          -0.8649499416351318,
-          -0.9680713415145874,
-          -0.07136695086956024,
-          0.08702337741851807,
-          -0.0012019457062706351,
-          -0.40912172198295593,
-          -0.006982382852584124,
-          -0.2469279021024704,
-          0.2634161114692688,
-          0.19823867082595825,
-          0.6264614462852478,
-          -0.0895332545042038,
-          0.15487948060035706,
-          0.010749834589660168,
-          0.21317049860954285,
-          0.3579390347003937,
-          0.6785242557525635,
-          0.4390743672847748,
-          0.2672802209854126,
-          -0.8758218884468079,
-          -0.963442862033844,
-          -0.9812936782836914,
-          0.47073882818222046,
-          0.4233376085758209,
-          0.6527111530303955,
-          0.6982703804969788,
-          0.6721965670585632,
-          0.9104544520378113,
-          0.8594658970832825,
-          0.9712696671485901,
-          0.7178391218185425,
-          0.9804772734642029,
-          0.9899379014968872,
-          -0.272844135761261,
-          -0.23376643657684326,
-          -0.262163907289505,
-          0.03704443946480751,
-          -0.4075758457183838,
-          -0.7010478377342224,
-          -0.20673303306102753,
-          -0.5571584105491638,
-          -0.8706849217414856,
-          -0.48726165294647217,
-          -0.2910931706428528,
-          -0.002765015931800008,
-          0.05970108136534691,
-          0.3084672689437866,
-          0.15337669849395752,
-          -0.6174674034118652,
-          -0.6328142881393433,
-          -0.5624826550483704,
-          0.1400715708732605,
-          0.3191937208175659,
-          0.02131892368197441,
-          -0.09887219220399857,
-          -0.13459566235542297,
-          0.031372569501399994,
-          -0.23347316682338715,
-          -0.1083475649356842,
-          0.10015857964754105,
-          -0.15261906385421753,
-          -0.3190996050834656,
-          0.5962103009223938,
-          0.944227933883667,
-          0.6263585686683655,
-          -0.03721585124731064,
-          -0.14064188301563263,
-          -0.12287423759698868,
-          0.1620333045721054,
-          0.051118478178977966,
-          0.025942236185073853,
-          0.9509856700897217,
-          0.07660112529993057,
-          -0.2148650735616684,
-          -0.2792571783065796,
-          -0.3916383981704712,
-          -0.5475131869316101,
-          -0.3573049306869507,
-          -0.5381907820701599,
-          0.5642790794372559,
-          0.39763057231903076,
-          0.4926196038722992,
-          0.6876794695854187,
-          0.9853602051734924,
-          0.9853602051734924,
-          0.2784459888935089,
-          0.33439427614212036,
-          0.3757942020893097,
-          0.5680580735206604,
-          -0.202531099319458,
-          0.04602264240384102,
-          0.1253708153963089,
-          -0.053822703659534454,
-          -0.09523261338472366,
-          -0.3647562861442566,
-          0.055967457592487335,
-          -0.18043585121631622,
-          -0.36183372139930725,
-          -0.26616132259368896,
-          0.5843426585197449,
-          0.7874525785446167,
-          0.3204408586025238,
-          0.46942922472953796,
-          -0.3549381494522095,
-          -0.15470989048480988,
-          -0.28662583231925964,
-          -0.45677778124809265,
-          -0.14482297003269196,
-          -0.3699699342250824,
-          -0.31996339559555054,
-          0,
-          0.03902474418282509,
-          -0.4207833707332611,
-          0.5997176170349121,
-          0.34521904587745667,
-          0.260562002658844,
-          0.301216721534729,
-          -0.39678168296813965,
-          -0.9933051466941833,
-          -0.48806899785995483,
-          -0.9801273941993713,
-          -0.9932265877723694,
-          -0.00268577691167593,
-          -0.4860992431640625,
-          -0.718903660774231,
-          -0.22610677778720856,
-          0.40737977623939514,
-          0.7242735624313354,
-          0.9194390773773193,
-          0.992190957069397,
-          0.5167772769927979,
-          -0.8444285988807678,
-          -0.6822850704193115,
-          0.6697694063186646,
-          0.9455884695053101,
-          -0.563209056854248,
-          -0.6827536821365356,
-          -0.6466551423072815,
-          -1,
-          0.00808846578001976,
-          -0.21341004967689514,
-          -0.08499597012996674,
-          -0.22998903691768646,
-          -0.6067743301391602,
-          -0.49108201265335083,
-          -0.5265984535217285,
-          -0.9826362729072571,
-          -0.23542766273021698,
-          -0.2631172835826874,
-          -0.38973894715309143,
-          -0.510794460773468,
-          0.614811897277832,
-          0.9284683465957642,
-          0.980880856513977,
-          0.6759928464889526,
-          0.7887943387031555,
-          0.334210067987442,
-          0.8685921430587769,
-          0.9433988928794861,
-          0.3017013370990753,
-          0.322925865650177,
-          0.0030513221863657236,
-          -0.08400421589612961,
-          0.1492752730846405,
-          0.15100379288196564,
-          0.2531687021255493,
-          0.22673995792865753,
-          0.08318476378917694,
-          -0.09412675350904465,
-          -0.10312476009130478,
-          0.00051957240793854,
-          0.1938382387161255,
-          -0.429431289434433,
-          -0.6668448448181152,
-          0.27889484167099,
-          -0.9699349999427795,
-          -0.6830593347549438,
-          -0.9178845286369324,
-          -0.8040575385093689,
-          -0.03522491827607155,
-          0.586391270160675,
-          0.9315357804298401,
-          0.7273709177970886,
-          0.23738005757331848,
-          0.16160446405410767,
-          0.196137934923172,
-          0.6648127436637878,
-          0.9904631972312927,
-          0.9321214556694031,
-          -0.9826473593711853,
-          -0.5793296098709106,
-          -0.5139965415000916,
-          -0.9829296469688416,
-          0.10490112006664276,
-          0.26333707571029663,
-          0.015549364499747753,
-          0.7950919270515442,
-          -0.22844749689102173,
-          0.08410408347845078,
-          -0.014554033055901527,
-          -0.40973183512687683,
-          -0.6088537573814392,
-          -0.7200993895530701,
-          -0.25975117087364197,
-          -0.05376914516091347,
-          0.25696367025375366,
-          -0.02727169543504715,
-          -0.9200538992881775,
-          -0.9851748943328857,
-          0.2039009928703308,
-          -0.18674251437187195,
-          -0.0373150035738945,
-          0.0003531149122864008,
-          0.7743528485298157,
-          0.49138516187667847,
-          0.8453116416931152,
-          0.8113861680030823,
-          -0.2243531048297882,
-          0.17102263867855072,
-          0.13133029639720917,
-          -0.8719936609268188,
-          -0.7000458240509033,
-          -0.5028141736984253,
-          0.5621294975280762,
-          -0.48999398946762085,
-          1,
-          0.9576523303985596,
-          -0.41538330912590027,
-          -0.5296134352684021,
-          -0.5272583365440369,
-          0.26668936014175415,
-          0.9760602116584778,
-          0.874788224697113,
-          -0.8827227354049683,
-          -0.9637153744697571,
-          -0.5040878057479858,
-          -0.27172648906707764,
-          0.274967223405838,
-          -0.01066218875348568,
-          0.29421308636665344,
-          0.1539771407842636,
-          0.15297439694404602,
-          0.35023635625839233,
-          -0.21796944737434387,
-          0.8537461161613464,
-          0.9835426211357117,
-          0.9496530294418335,
-          0.9985606074333191,
-          -0.2221001833677292,
-          0.4310095012187958,
-          0.6029019355773926,
-          0.7001603841781616,
-          0.8360967636108398,
-          0.519031286239624,
-          -0.9936496019363403,
-          -0.9828091859817505,
-          0.26668936014175415,
-          0.5236851572990417,
-          0.49962037801742554,
-          0.5692272782325745,
-          0.22008033096790314,
-          0.2918113172054291,
-          -0.005608721170574427,
-          0.03870052844285965,
-          0.26892536878585815,
-          -0.1814487725496292,
-          0.06543553620576859,
-          0.08210965245962143,
-          -0.09493392705917358,
-          0.23452402651309967,
-          0.04021294042468071,
-          -0.09652941673994064,
-          0.6716895699501038,
-          0.8282829523086548,
-          -0.5790790915489197,
-          -0.7159784436225891,
-          -0.874889612197876,
-          -0.9411375522613525,
-          -0.25209754705429077,
-          -0.6056337356567383,
-          -0.4996890425682068,
-          0.268974632024765,
-          0.4170511066913605,
-          0.2456361949443817,
-          0.17661170661449432,
-          -0.6461558938026428,
-          -0.8366621732711792,
-          -0.9373155832290649,
-          0.6573933362960815,
-          0.764940083026886,
-          0.4581672251224518,
-          0.012059792876243591,
-          -0.36481741070747375,
-          0.047285694628953934,
-          -0.19150404632091522,
-          -0.06492480635643005,
-          0.2849947214126587,
-          0.49767422676086426,
-          0.28277072310447693,
-          0.54390949010849,
-          0.1638433039188385,
-          -0.31062552332878113,
-          -0.08801092207431793,
-          -0.47230759263038635,
-          -0.2938145399093628,
-          -0.0704847201704979,
-          0.6260424852371216,
-          0.39466437697410583,
-          0.31425905227661133,
-          0.7220942974090576,
-          -0.7903173565864563,
-          0.2835279703140259,
-          0.6021785140037537,
-          0.5951641798019409,
-          0.3522506654262543,
-          0.5202761888504028,
-          0.6336329579353333,
-          0.44877156615257263,
-          0.5989428758621216,
-          0.9741127490997314,
-          0.9952908158302307,
-          0.6856418251991272,
-          -0.18962796032428741,
-          0.14198823273181915,
-          0.027870045974850655,
-          -0.2665543556213379,
-          -0.12062981724739075,
-          -0.35000452399253845,
-          -0.6031556725502014,
-          -0.7968862652778625,
-          -0.9509775042533875,
-          0.2576938569545746,
-          -0.17726917564868927,
-          0.9844260215759277,
-          -0.4435259699821472,
-          -0.1699523627758026,
-          0.6966899037361145,
-          0.9935153722763062,
-          0.994518518447876,
-          0.9067777991294861,
-          -0.9979760646820068,
-          -0.9827584624290466,
-          -0.01198972761631012,
-          0.004887382499873638,
-          0.9262871146202087,
-          -0.011220625601708889,
-          0.20926238596439362,
-          0.08175507932901382,
-          0.13949643075466156,
-          0.24324852228164673,
-          0.2432398945093155,
-          -0.03161051869392395,
-          0.41032442450523376,
-          0.5218767523765564,
-          -0.1977277398109436,
-          0.07446050643920898,
-          -0.20594902336597443,
-          -0.3251917064189911,
-          -0.6149249076843262,
-          0.4732542634010315,
-          0.07446050643920898,
-          0.3481038212776184,
-          0.22188933193683624,
-          0.2149362415075302,
-          -0.24006293714046478,
-          -0.2876802384853363,
-          0.41702282428741455,
-          0.19047819077968597,
-          -0.2501949965953827,
-          -0.15160758793354034,
-          0.43379339575767517,
-          0.0909355953335762,
-          0.451621413230896,
-          0.5065004825592041,
-          -0.9908729195594788,
-          -0.08206022530794144,
-          -0.027877792716026306,
-          0.5542229413986206,
-          -0.38842886686325073,
-          0.9741654992103577,
-          -0.3724351227283478,
-          -0.1986246407032013,
-          -0.3232215344905853,
-          0.7665350437164307,
-          0.5796975493431091,
-          -0.6754114627838135,
-          -0.8743530511856079,
-          -0.8580234050750732,
-          0.7657902240753174,
-          0.6770547032356262,
-          0.5566800236701965,
-          0.935212254524231,
-          -0.584112286567688,
-          0.017612561583518982,
-          -0.36803585290908813,
-          -0.5247402191162109,
-          0.4970661997795105,
-          -0.6998907327651978,
-          -0.5846438407897949,
-          0.9509856700897217,
-          0.8254937529563904,
-          0.6614059805870056,
-          0.5184406042098999,
-          -0.5043556690216064,
-          -0.8817981481552124,
-          -0.6980621218681335,
-          -0.3875381350517273,
-          -0.9762217998504639,
-          -0.9982428550720215,
-          0.2067089080810547,
-          0.11346746981143951,
-          0.01595616154372692,
-          -0.2828061878681183,
-          0.014170551672577858,
-          0.6205798983573914,
-          -0.8973569869995117,
-          -0.7388009428977966,
-          -0.5494065880775452,
-          -0.8166348338127136,
-          0.5313565731048584,
-          -0.004518178757280111,
-          0.48383238911628723,
-          -0.4977671205997467,
-          -0.11393170058727264,
-          -0.1845625638961792,
-          -0.3601009249687195,
-          -0.314405232667923,
-          0.48286524415016174,
-          0.20714795589447021,
-          0.040663253515958786,
-          -0.9531037211418152,
-          -0.26953038573265076,
-          -0.4040994942188263,
-          -0.26528051495552063,
-          0.23274151980876923,
-          -0.6318374872207642,
-          -0.9665676951408386,
-          0.005913611501455307,
-          0.49386274814605713,
-          0.23279796540737152,
-          0.24144552648067474,
-          0.3414899408817291,
-          0.30328240990638733,
-          -0.9941494464874268,
-          -0.3179697096347809,
-          -0.25289952754974365,
-          -0.4826950430870056,
-          -0.992070198059082,
-          -0.9115789532661438,
-          -0.5940829515457153,
-          -0.5463100671768188,
-          -0.9485341310501099,
-          -0.6519872546195984,
-          -0.9987034797668457,
-          -0.5913269519805908,
-          -0.7342608571052551,
-          1,
-          0.45685240626335144,
-          -0.0836566612124443,
-          -0.5427722334861755,
-          -0.2221001833677292,
-          -0.9979760646820068,
-          -0.7426897883415222,
-          0.4536954462528229,
-          -0.5354653596878052,
-          -0.5605345368385315,
-          -0.24477224051952362,
-          -0.31265220046043396,
-          -0.8582495450973511,
-          -0.2184845358133316,
-          -0.8255475759506226,
-          -0.8973569869995117,
-          -0.9509775042533875,
-          0.7109987735748291,
-          -0.3486618995666504,
-          -0.5666218400001526,
-          0.0820944681763649,
-          0.28015971183776855,
-          -0.9690587520599365,
-          -0.6733459830284119,
-          -0.929873526096344,
-          0.05627104640007019,
-          -0.5349896550178528,
-          -0.49556639790534973,
-          -0.2316868156194687,
-          -0.2666398584842682,
-          -0.5846438407897949,
-          0.9041470885276794,
-          0.34881946444511414,
-          0.73880535364151,
-          -0.4977671205997467,
-          -0.620514452457428,
-          0.3705782890319824,
-          -0.3981460928916931,
-          -0.7447241544723511,
-          -0.5671089291572571,
-          -0.7126420140266418,
-          0.3201524019241333,
-          -0.9361801147460938,
-          -0.021949056535959244,
-          0.26071488857269287,
-          0.11704500019550323,
-          -0.09812191873788834,
-          -0.6564890742301941,
-          0.5860076546669006,
-          0.23305492103099823,
-          0.1070864275097847,
-          0.02329915389418602,
-          -0.2407625913619995,
-          0.3414646089076996,
-          0.6114945411682129,
-          0.0007608749438077211,
-          -0.18877489864826202,
-          -0.06473154574632645,
-          -0.5393319725990295,
-          -0.37636464834213257,
-          -0.2776724100112915,
-          0.407381534576416,
-          0.5711175799369812,
-          0.10242214798927307,
-          -0.5774988532066345,
-          0.5009621977806091,
-          0.7229906320571899,
-          0.5307389497756958,
-          0.8771102428436279,
-          -0.6564419269561768,
-          -0.41044551134109497,
-          -0.6564419269561768,
-          -0.7309668660163879,
-          -0.9828091859817505,
-          -0.9828091859817505,
-          -0.31996339559555054,
-          0.02778959460556507,
-          -0.18145851790905,
-          -0.4760945737361908,
-          -0.6159340143203735,
-          -0.5961918830871582,
-          -0.6848282217979431,
-          -0.251895934343338,
-          0.29486724734306335,
-          0.40002304315567017,
-          0.9899379014968872,
-          0.7229412794113159,
-          0.9807852506637573,
-          -0.7337335348129272,
-          -0.8108888864517212,
-          -0.5162743926048279,
-          -0.6094732284545898,
-          -0.9194790720939636,
-          0.5308945178985596,
-          0.01500244252383709,
-          -0.7993972897529602,
-          0.9984241127967834,
-          -0.012843931093811989,
-          -0.8668404221534729,
-          0.990543007850647,
-          0.0920555591583252,
-          -0.31916898488998413,
-          0.9374285340309143,
-          0.7959373593330383,
-          0.8754876255989075,
-          -0.8362293243408203,
-          -0.6582773923873901,
-          -0.9916395545005798,
-          -0.8973569869995117,
-          0.061656251549720764,
-          0.5361354351043701,
-          0.36971715092658997,
-          -0.4583832919597626,
-          -0.46862149238586426,
-          -0.9807852506637573,
-          -0.9511585831642151,
-          -0.27999889850616455,
-          0.038460005074739456,
-          0.1938815712928772,
-          0.19310392439365387,
-          0.5270761847496033,
-          0.5389652252197266,
-          -0.5263717770576477,
-          0.31121960282325745,
-          0.13053779304027557,
-          0.2712872624397278,
-          0.9807852506637573,
-          -0.97075355052948,
-          0.9580817818641663,
-          0.7310782670974731,
-          0.5388161540031433,
-          0.9519411325454712,
-          0.8434329628944397,
-          -0.4833066761493683,
-          -0.20707954466342926,
-          -0.5099445581436157,
-          -0.6608012318611145,
-          -0.018839603289961815,
-          -0.7309668660163879,
-          -0.5254232883453369,
-          0.3551715314388275,
-          -0.21630725264549255,
-          -0.39276570081710815,
-          -0.07621423900127411,
-          0.02646898478269577,
-          0.3646659553050995,
-          0.8563774824142456,
-          0.5865227580070496,
-          0.46233615279197693,
-          0.8343841433525085,
-          -0.8973569869995117,
-          -0.5947028398513794,
-          -0.8064454793930054,
-          0.570570170879364,
-          0.5161767601966858,
-          0.48175233602523804,
-          0.4885003864765167,
-          -0.38643592596054077,
-          -0.4773034155368805,
-          -0.38785600662231445,
-          0.8576608896255493,
-          -0.9899351596832275,
-          0.9875081777572632,
-          -0.1636705994606018,
-          -0.9172571897506714,
-          -0.16427050530910492,
-          -0.4349454939365387,
-          -0.9953550100326538,
-          -0.9971668124198914,
-          0.6962160468101501,
-          0.5453452467918396,
-          -0.05568347126245499,
-          -0.6601232290267944,
-          -0.842789351940155,
-          -0.2496166080236435,
-          -0.8420789837837219,
-          -0.8744059801101685,
-          -0.834104597568512,
-          -0.9026780724525452,
-          0.9523860216140747,
-          0.9934259653091431,
-          -0.7173683643341064,
-          -0.9974165558815002,
-          0.3086850345134735,
-          -0.8398857116699219,
-          -0.2520681619644165,
-          -0.2881055772304535,
-          -0.17640793323516846,
-          -0.8340798020362854,
-          0.803859293460846,
-          -0.5375675559043884,
-          -0.35286054015159607,
-          -0.40147092938423157,
-          -0.5391048192977905,
-          -0.4075758457183838,
-          -0.06929513067007065,
-          0.4999752938747406,
-          0.5083998441696167,
-          0.7683452367782593,
-          0.44873738288879395,
-          0.1870150864124298,
-          0.44929590821266174,
-          0.7604588270187378,
-          -0.253332257270813,
-          0.7990961074829102,
-          -0.4588089883327484,
-          -0.36481741070747375,
-          -0.2928994297981262,
-          -0.620514452457428,
-          -0.8754743337631226,
-          -0.6474624276161194,
-          -0.7147241830825806,
-          -0.8206048011779785,
-          0.8667620420455933,
-          0.8917268514633179,
-          0.9518074989318848,
-          -0.5455569624900818,
-          0.06518997251987457,
-          -0.1746850311756134,
-          0.711083710193634,
-          -0.7957763075828552,
-          -0.23037903010845184,
-          0.4979412853717804,
-          -0.9531556367874146,
-          -0.9841888546943665,
-          0.04183444380760193,
-          0.8254937529563904,
-          0.9814017415046692,
-          -0.5506122708320618,
-          0.9509856700897217,
-          0.8974766731262207,
-          0.8271036744117737,
-          0.6565945744514465,
-          0.5882179737091064,
-          0.4074084758758545,
-          0.1779918372631073,
-          0.8254937529563904,
-          0.3646659553050995,
-          0.6998251676559448,
-          -0.25461456179618835,
-          -0.16163697838783264,
-          0.5031144618988037,
-          0.056570108979940414,
-          0.4599801003932953,
-          0.22676178812980652,
-          -0.27921000123023987,
-          -0.5993555784225464,
-          0.9872598648071289,
-          -0.1492013782262802,
-          -0.11010982096195221,
-          0.08578278124332428,
-          -0.176510289311409,
-          0.12077020108699799,
-          -0.08411595970392227,
-          0.9915391802787781,
-          0.7307949662208557,
-          0.8754876255989075,
-          -0.2441762387752533,
-          -0.14552778005599976,
-          -0.2168065309524536,
-          -0.4977671205997467,
-          0.6998251676559448,
-          0.5844343304634094,
-          -0.4977671205997467,
-          -0.5964337587356567,
-          0.16315852105617523,
-          0.7636315226554871,
-          0.265627384185791,
-          0.9430791139602661,
-          0.6161730289459229,
-          0.9977315664291382,
-          0.9039280414581299,
-          -0.06703191250562668,
-          0.4994438886642456,
-          0.4858933091163635,
-          0.9834839701652527,
-          0.880670964717865,
-          0.8490715026855469,
-          0.9645264744758606,
-          -0.9836878776550293,
-          0.020235415548086166,
-          0.6966110467910767,
-          0.9339800477027893,
-          0.5601944327354431,
-          -0.00601609330624342,
-          0.22188933193683624,
-          0.06982731819152832,
-          0.42058631777763367,
-          -0.20701900124549866,
-          -0.5002540349960327,
-          -0.9948720335960388,
-          -0.6225435733795166,
-          0.29936158657073975,
-          -0.9993430376052856,
-          -0.8705465197563171,
-          0.9978688955307007,
-          0.9816693663597107,
-          -0.2221001833677292,
-          -0.07432012259960175,
-          0.005510379560291767,
-          0.93561190366745,
-          0.769040584564209,
-          0.4979412853717804,
-          0.09552592039108276,
-          -0.4952143132686615,
-          0.8628236055374146,
-          0.891992449760437,
-          0.3251786231994629,
-          -0.9622695446014404,
-          -0.9051315188407898,
-          0.6972473859786987,
-          -0.9227719902992249,
-          -0.9991018772125244,
-          0.9954250454902649,
-          -0.2867448031902313,
-          0.40268635749816895,
-          0.14126500487327576,
-          0.9529435634613037,
-          0.6507450938224792,
-          0.27342158555984497,
-          -0.9639715552330017,
-          -0.971455454826355,
-          0.9434934258460999,
-          0.7417119145393372,
-          0.922407329082489,
-          0.7960216403007507,
-          0.39301806688308716,
-          0.44151046872138977,
-          0.9164034128189087,
-          -0.45337846875190735,
-          -0.7604051232337952,
-          -0.9881238341331482,
-          0.3329641819000244,
-          0.5564926266670227,
-          -0.7899213433265686,
-          0.7021987438201904,
-          -0.9409090876579285,
-          0.8222968578338623,
-          -0.1262354850769043,
-          0.9899379014968872,
-          0.8101232051849365,
-          0.4139884412288666,
-          0.4850161373615265,
-          0.8455127477645874,
-          -0.7117887139320374,
-          -0.9599732160568237,
-          0.32545220851898193,
-          -0.017274606972932816,
-          0.0917535200715065,
-          0.9274268746376038,
-          0.7069732546806335
-         ],
-         "z": [
-          0.24893133342266083,
-          0.06961314380168915,
-          0.38458311557769775,
-          0.045085154473781586,
-          -0.2524856626987457,
-          -0.6164182424545288,
-          -0.4557993710041046,
-          -0.09390309453010559,
-          -0.6660021543502808,
-          -0.5890951156616211,
-          -0.9959505200386047,
-          -0.6060599088668823,
-          -0.298443466424942,
-          -0.4645257592201233,
-          -0.23048292100429535,
-          -0.21867342293262482,
-          -0.31317806243896484,
-          0.07732536643743515,
-          -0.3414348065853119,
-          -0.05248579755425453,
-          -0.10382933914661407,
-          -0.019813725724816322,
-          0.2175561636686325,
-          0.13014905154705048,
-          0.40530869364738464,
-          0.7156205773353577,
-          0.7926167249679565,
-          0.4570474326610565,
-          -0.13187628984451294,
-          0.12653519213199615,
-          -0.22819986939430237,
-          -0.3281902074813843,
-          0.28013405203819275,
-          0.6267420649528503,
-          0.39846572279930115,
-          0.3510749340057373,
-          -0.33739176392555237,
-          -0.18817365169525146,
-          -0.24846261739730835,
-          -0.5050169229507446,
-          -0.5259588956832886,
-          -0.26771974563598633,
-          -0.446445107460022,
-          -0.248659148812294,
-          0.24804984033107758,
-          0.18279309570789337,
-          0.03786000609397888,
-          -0.07831154018640518,
-          -0.20537401735782623,
-          0.22865191102027893,
-          0.03590712696313858,
-          0.0510106198489666,
-          -0.5112490653991699,
-          -0.4819660484790802,
-          -0.5647855401039124,
-          -0.9934210777282715,
-          -0.9370624423027039,
-          -0.3811916410923004,
-          -0.5316653251647949,
-          -0.5263366103172302,
-          -0.7243698835372925,
-          -0.8403451442718506,
-          -0.5899010300636292,
-          -0.9501896500587463,
-          -0.9997191429138184,
-          0.3994015157222748,
-          0.5550714731216431,
-          0.1366790235042572,
-          0.33598801493644714,
-          0.49225300550460815,
-          0.6483957171440125,
-          0.3165377676486969,
-          0.05070596933364868,
-          0.3658945858478546,
-          0.07349245995283127,
-          0.02135220356285572,
-          0.9899535775184631,
-          0.6588714122772217,
-          0.9584241509437561,
-          0.7039474248886108,
-          0.9926663041114807,
-          0.5769069790840149,
-          0.6764622330665588,
-          0.998921275138855,
-          0.5113556385040283,
-          0.5350059866905212,
-          0.4005412459373474,
-          0.18379539251327515,
-          -0.6124829649925232,
-          -0.916515052318573,
-          -0.6823439002037048,
-          0.06995134800672531,
-          -0.09971776604652405,
-          0.30412760376930237,
-          -0.678033173084259,
-          -0.5627862811088562,
-          -0.42405495047569275,
-          -0.4404540956020355,
-          -0.22640195488929749,
-          -0.2587750554084778,
-          -0.5708564519882202,
-          -0.5173807144165039,
-          -0.9726678133010864,
-          -0.6065524220466614,
-          -0.9628442525863647,
-          -0.060457516461610794,
-          0.07383366674184799,
-          0.033002905547618866,
-          -0.26771634817123413,
-          -0.29332637786865234,
-          -0.2589031755924225,
-          0.4012563228607178,
-          0.6697467565536499,
-          0.37911468744277954,
-          0.6959860324859619,
-          -0.3439806401729584,
-          -0.709836483001709,
-          -0.36161622405052185,
-          -0.5031288266181946,
-          -0.37700721621513367,
-          -0.027168434113264084,
-          0.1186046227812767,
-          0.9283714294433594,
-          0.6873116493225098,
-          0.9881190061569214,
-          0.9892323613166809,
-          0.6267638206481934,
-          0.6916837096214294,
-          0.3116864562034607,
-          0.45751941204071045,
-          -0.30098357796669006,
-          -0.5340659618377686,
-          -0.070583276450634,
-          0.9836627840995789,
-          0.9826307892799377,
-          0.2885918915271759,
-          0.23875781893730164,
-          -0.0010253038490191102,
-          -0.01305148471146822,
-          -0.7080255746841431,
-          -0.5416524410247803,
-          -0.7137928605079651,
-          -0.8609718084335327,
-          -0.6466995477676392,
-          -0.22543102502822876,
-          -0.46304792165756226,
-          0.40055951476097107,
-          0.5511629581451416,
-          0.4643996059894562,
-          -0.24696844816207886,
-          0.0023746946826577187,
-          -0.121971994638443,
-          0.09900698065757751,
-          0.24953289330005646,
-          0.22445939481258392,
-          0.10599268972873688,
-          -0.02011456899344921,
-          0.4988115429878235,
-          0.9421597123146057,
-          0.7781175374984741,
-          0.7483584880828857,
-          -0.9510202407836914,
-          -0.5498870611190796,
-          -0.8496232032775879,
-          -0.25599583983421326,
-          -0.018814457580447197,
-          0.0450722798705101,
-          0.006867034826427698,
-          0.9926801323890686,
-          -0.33451950550079346,
-          -0.6014363765716553,
-          -0.3249167501926422,
-          -0.42981573939323425,
-          -0.7796371579170227,
-          -0.6329610347747803,
-          -0.9835079908370972,
-          -0.9459924101829529,
-          -0.5039926767349243,
-          -0.4338308274745941,
-          -0.25865885615348816,
-          -0.6047350168228149,
-          -0.20979124307632446,
-          0.5729902386665344,
-          0.7663477659225464,
-          0.29461243748664856,
-          0.5809187293052673,
-          -0.18392319977283478,
-          0.020668039098381996,
-          -0.27200955152511597,
-          0.03924412652850151,
-          0.0195060633122921,
-          0.3324436545372009,
-          0.6782426834106445,
-          0.17382746934890747,
-          0.4320796728134155,
-          0.20146599411964417,
-          0.37333109974861145,
-          0.5286331176757812,
-          -0.02363656461238861,
-          -0.0906238928437233,
-          0.5550857782363892,
-          0.5451454520225525,
-          0.5945549011230469,
-          -0.7518652677536011,
-          -0.5248426795005798,
-          -0.387797087430954,
-          -0.5349641442298889,
-          -0.25117042660713196,
-          0.1672535389661789,
-          -0.030160700902342796,
-          0.2272733896970749,
-          0.22918443381786346,
-          0.0007958645583130419,
-          -0.47246626019477844,
-          -0.26326435804367065,
-          -0.2667330503463745,
-          0.2950707972049713,
-          0.5224003791809082,
-          0.24893133342266083,
-          0.24893133342266083,
-          -0.3438313901424408,
-          0.2669813930988312,
-          -0.05906572937965393,
-          0.3875717222690582,
-          0.2657814919948578,
-          0.7311900854110718,
-          0.6060779690742493,
-          0.45794302225112915,
-          -0.010273333638906479,
-          0.1575591117143631,
-          0.3539920449256897,
-          -0.6644736528396606,
-          -0.48027414083480835,
-          -0.9416919350624084,
-          0.9293450713157654,
-          0.4946977198123932,
-          0.5810832977294922,
-          0.8662898540496826,
-          0.9053993225097656,
-          0.5155513882637024,
-          0.6468337774276733,
-          0.4702588617801666,
-          0.11277738958597183,
-          -0.048379454761743546,
-          -0.2031347006559372,
-          -0.4603961706161499,
-          -0.1806602030992508,
-          0.10649269074201584,
-          0.24402277171611786,
-          0.22087182104587555,
-          0.6698569059371948,
-          0.6410759091377258,
-          0.4929329752922058,
-          0.23700262606143951,
-          -0.37436285614967346,
-          -0.2582411468029022,
-          0.000663433806039393,
-          -0.9097479581832886,
-          -0.6664299368858337,
-          -0.9650605320930481,
-          0.4332942068576813,
-          0.19210495054721832,
-          0.2930695116519928,
-          0.23533089458942413,
-          0.6286520957946777,
-          0.6442918181419373,
-          0.34618571400642395,
-          -0.006241363473236561,
-          0.1833106428384781,
-          0.29168185591697693,
-          -0.002174111781641841,
-          0.47259294986724854,
-          0.25226056575775146,
-          0.1899283230304718,
-          0.1295872926712036,
-          -0.14776815474033356,
-          -0.007787336595356464,
-          0.1263086497783661,
-          0.15495635569095612,
-          0.40780001878738403,
-          0.5031928420066833,
-          0.22645917534828186,
-          0.04210563376545906,
-          0.1961057186126709,
-          -0.10216209292411804,
-          0.28054866194725037,
-          0.4921416640281677,
-          0.18888798356056213,
-          0.29682838916778564,
-          0.9105742573738098,
-          0.7120792269706726,
-          0.46320977807044983,
-          0.830166220664978,
-          0.48220357298851013,
-          -0.8679813146591187,
-          -0.9516631364822388,
-          0.47452154755592346,
-          0.7259277701377869,
-          0.6084266901016235,
-          0.9848937392234802,
-          -0.23830050230026245,
-          -0.76807701587677,
-          -0.44848307967185974,
-          -0.24442195892333984,
-          0.0057609472423791885,
-          0.04943608120083809,
-          -0.038206059485673904,
-          -0.20376498997211456,
-          -0.33428671956062317,
-          -0.4373824894428253,
-          -0.42244595289230347,
-          -0.6520264744758606,
-          -0.36086952686309814,
-          -0.6188114285469055,
-          0.1818607598543167,
-          -0.31560376286506653,
-          -0.2107848972082138,
-          -0.6734336614608765,
-          0.9861479997634888,
-          0.9878979325294495,
-          0.9840410947799683,
-          0.34084373712539673,
-          -0.6104958653450012,
-          0.29332637786865234,
-          0.6329606175422668,
-          0.4734562635421753,
-          0.6387461423873901,
-          0.9190930128097534,
-          -0.34333351254463196,
-          -0.19907696545124054,
-          -0.007516813464462757,
-          0.35606294870376587,
-          0.5664986968040466,
-          0.2380324900150299,
-          0.02087165042757988,
-          0.1486402451992035,
-          -0.1486402451992035,
-          -0.5884139537811279,
-          -0.24894261360168457,
-          -0.5900663137435913,
-          -0.4645562767982483,
-          0.22966508567333221,
-          0.30052053928375244,
-          0.25223761796951294,
-          0.4725068509578705,
-          0.9906204342842102,
-          0.53376704454422,
-          0.5839667320251465,
-          0.9822286367416382,
-          -0.5414755940437317,
-          -0.959226131439209,
-          -0.8078566789627075,
-          -0.6092051267623901,
-          -0.634707510471344,
-          -0.5340558290481567,
-          0.20579388737678528,
-          0.5619252324104309,
-          0.020743170753121376,
-          -0.8842752575874329,
-          -0.9857361912727356,
-          -0.5279218554496765,
-          -0.9429054260253906,
-          0,
-          -0.4684806168079376,
-          -0.21044278144836426,
-          -0.7952387928962708,
-          -0.9352442026138306,
-          -0.9609246850013733,
-          -0.4732184112071991,
-          0.23765499889850616,
-          -0.0679740384221077,
-          -0.14824911952018738,
-          0.19725912809371948,
-          -0.06877187639474869,
-          -0.07851611077785492,
-          0.8686026334762573,
-          0.6927322745323181,
-          0.6234987378120422,
-          0.5488587021827698,
-          -0.19145558774471283,
-          -0.3909909725189209,
-          -0.07928632199764252,
-          -0.3109854459762573,
-          0.5313256978988647,
-          0.03555777668952942,
-          0.0490003265440464,
-          0.31111860275268555,
-          0.10442136228084564,
-          0.17511685192584991,
-          -0.11836609244346619,
-          0,
-          -0.01821127161383629,
-          -0.3708040714263916,
-          -0.2981916069984436,
-          -0.46162664890289307,
-          -0.1726837307214737,
-          -0.123359814286232,
-          0.4126456081867218,
-          0.17629684507846832,
-          0.43020865321159363,
-          -0.16406390070915222,
-          -0.29134809970855713,
-          -0.3465260863304138,
-          -0.1638673096895218,
-          -0.36755621433258057,
-          -0.19412018358707428,
-          -0.2797713577747345,
-          0.6075701713562012,
-          0.654580295085907,
-          -0.4861188530921936,
-          -0.31833672523498535,
-          -0.5780981779098511,
-          -0.6000235080718994,
-          -0.004480898380279541,
-          0.06860040128231049,
-          -0.24482126533985138,
-          0.28688132762908936,
-          -0.9631673693656921,
-          -0.971184492111206,
-          -0.5911328792572021,
-          -0.9907293319702148,
-          0.5847785472869873,
-          0.9999487996101379,
-          0.5352766513824463,
-          -0.8988922834396362,
-          -0.7401489019393921,
-          0.9553634524345398,
-          -0.23085886240005493,
-          -0.11746350675821304,
-          -0.3938993215560913,
-          -0.5889719724655151,
-          -0.2792058289051056,
-          -0.3732108473777771,
-          -0.3574441075325012,
-          -0.6824148297309875,
-          -0.22026440501213074,
-          -0.5700737833976746,
-          -0.5176344513893127,
-          0.12050525844097137,
-          -0.09682867676019669,
-          -0.35551348328590393,
-          -0.17618408799171448,
-          -0.2755252420902252,
-          0.04571164771914482,
-          -0.17331843078136444,
-          -0.9896681308746338,
-          -0.6911693215370178,
-          -0.5965977907180786,
-          -0.5998966097831726,
-          -0.9706664681434631,
-          -0.9917164444923401,
-          -0.6897068619728088,
-          -0.9094218611717224,
-          0.78774094581604,
-          0.6912752389907837,
-          0.0785423144698143,
-          0.016106540337204933,
-          -0.22879524528980255,
-          0.013991397805511951,
-          -0.38984066247940063,
-          -0.15052154660224915,
-          -0.5829851031303406,
-          -0.23330901563167572,
-          0.059916771948337555,
-          0.0003111835103482008,
-          0.6251672506332397,
-          0.31113284826278687,
-          0.5296736359596252,
-          -0.5800420045852661,
-          0.5752048492431641,
-          0.6355389952659607,
-          0.25313037633895874,
-          -0.47975510358810425,
-          -0.7129015326499939,
-          0.2674548923969269,
-          -0.20113208889961243,
-          0.3797936737537384,
-          1.1691379777549558e-15,
-          -0.2713494598865509,
-          0.40313920378685,
-          0.845343828201294,
-          0.39367449283599854,
-          -0.9590659737586975,
-          -0.2106667459011078,
-          -0.47452685236930847,
-          -0.4596824049949646,
-          -0.25136223435401917,
-          0.15601640939712524,
-          0.08271649479866028,
-          0.9565548896789551,
-          0.7303852438926697,
-          0.6288405656814575,
-          0.9848345518112183,
-          -0.09036430716514587,
-          -0.42064154148101807,
-          -0.9738449454307556,
-          -0.5138938426971436,
-          -0.16709473729133606,
-          -0.2977195680141449,
-          0.014614290557801723,
-          0.9725919365882874,
-          -0.593136191368103,
-          0.7926254868507385,
-          0.7128075361251831,
-          0.5469134449958801,
-          0.4639262855052948,
-          -0.06447644531726837,
-          0.17454104125499725,
-          -0.9590659737586975,
-          -0.8485125303268433,
-          -0.8613754510879517,
-          -0.8202615976333618,
-          -0.9732046723365784,
-          -0.44705015420913696,
-          -0.9994475841522217,
-          -0.7387363910675049,
-          -0.9583876729011536,
-          0.5713192224502563,
-          0.6820598244667053,
-          0.6784961819648743,
-          0.9906498193740845,
-          -0.9688231945037842,
-          -0.6363033056259155,
-          -0.9904927015304565,
-          -0.09575266391038895,
-          -0.5594531893730164,
-          0.3919374942779541,
-          0.6962965726852417,
-          0.4743371605873108,
-          0.32579144835472107,
-          -0.036251384764909744,
-          0.30545035004615784,
-          -0.3993871510028839,
-          -0.16404372453689575,
-          -0.05687348172068596,
-          0.06529530882835388,
-          -0.2403002232313156,
-          -0.21965867280960083,
-          -0.5458555817604065,
-          -0.33839061856269836,
-          -0.7479055523872375,
-          -0.6366367340087891,
-          -0.8835325837135315,
-          -0.998812198638916,
-          0.9292991161346436,
-          0.5906811952590942,
-          0.1568344235420227,
-          0.329791784286499,
-          0.6214436292648315,
-          0.8624156713485718,
-          0.9541876912117004,
-          0.8377023935317993,
-          0.16098438203334808,
-          0.5198801755905151,
-          0.4614923894405365,
-          0.4828778803348541,
-          -0.4090541899204254,
-          -0.6571433544158936,
-          0.7736345529556274,
-          0.9174755811691284,
-          0.5050711035728455,
-          0.6888444423675537,
-          -0.6057143807411194,
-          0.9539580345153809,
-          0.7932191491127014,
-          0.3558451235294342,
-          -0.294318825006485,
-          -0.43747037649154663,
-          -0.2859049141407013,
-          -0.5471164584159851,
-          0.3661544919013977,
-          0.21708662807941437,
-          0.047813039273023605,
-          -0.10936380922794342,
-          -0.9813233017921448,
-          0.6716124415397644,
-          0.9972550272941589,
-          0.9591069221496582,
-          0.9881190061569214,
-          -0.5873571634292603,
-          -0.7924172282218933,
-          -0.597710132598877,
-          -0.2933533787727356,
-          0.6591892242431641,
-          0.982540488243103,
-          0.15812546014785767,
-          0.5574328303337097,
-          0.3088320791721344,
-          -0.15484392642974854,
-          0.06583964824676514,
-          0.0556543804705143,
-          -0.41467854380607605,
-          -0.020549282431602478,
-          -0.17505614459514618,
-          -0.6844256520271301,
-          -0.14388316869735718,
-          0.37474673986434937,
-          -0.9988948702812195,
-          -0.18562301993370056,
-          0.21414516866207123,
-          0.1545124351978302,
-          -0.0718170553445816,
-          0.09742579609155655,
-          0.2770216763019562,
-          -0.1361367404460907,
-          0.23760713636875153,
-          -0.979985237121582,
-          -0.9926663041114807,
-          -0.9774913191795349,
-          -0.16620796918869019,
-          0.3408176600933075,
-          -0.8754684329032898,
-          -0.9926663041114807,
-          -0.9343691468238831,
-          -0.9726558923721313,
-          0.3258844017982483,
-          -0.6285980939865112,
-          -0.9526984095573425,
-          0.5530601739883423,
-          0.4029441475868225,
-          -0.15432234108448029,
-          -0.25908252596855164,
-          0.4096115529537201,
-          0.43439316749572754,
-          -0.8870314359664917,
-          -0.41186952590942383,
-          0.09266889840364456,
-          0.2557157576084137,
-          0.6775721907615662,
-          -0.4413914978504181,
-          0.13172948360443115,
-          0.21691279113292694,
-          -0.9269883036613464,
-          0.30631664395332336,
-          0.21891158819198608,
-          -0.6346932053565979,
-          -0.3447767496109009,
-          0.130438894033432,
-          0.47534096240997314,
-          0.5058916211128235,
-          -0.6356008052825928,
-          -0.24553059041500092,
-          -0.17978045344352722,
-          -0.34532439708709717,
-          -0.2420850694179535,
-          -0.4619636535644531,
-          -0.4826432168483734,
-          0.5221319198608398,
-          0.029748890548944473,
-          -0.7130288481712341,
-          -0.8076095581054688,
-          0.29332637786865234,
-          0.5628518462181091,
-          0.06730208545923233,
-          0.4723880887031555,
-          -0.12552547454833984,
-          -0.4614121615886688,
-          0.08412102609872818,
-          -0.13070812821388245,
-          -0.2101341336965561,
-          0.01784065179526806,
-          0.9772608280181885,
-          0.9888244271278381,
-          0.998428463935852,
-          0.9541769623756409,
-          0.9986042976379395,
-          -0.7781175374984741,
-          0.43230360746383667,
-          0.6684873104095459,
-          0.2304299771785736,
-          -0.5736464858055115,
-          -0.844412088394165,
-          0.00047851071576587856,
-          -0.8698142766952515,
-          -0.8623660206794739,
-          -0.6524214744567871,
-          0.4876599907875061,
-          0.41059526801109314,
-          0.11519432067871094,
-          0.027569491416215897,
-          -0.18464042246341705,
-          0.07333831489086151,
-          -0.28634411096572876,
-          -0.628840982913971,
-          -0.4625285863876343,
-          -0.7084884643554688,
-          0.13881811499595642,
-          0.013083233498036861,
-          -0.2419593632221222,
-          -0.9994175434112549,
-          -0.8644529581069946,
-          -0.969346821308136,
-          0.6237660050392151,
-          0.3980129659175873,
-          0.07845746725797653,
-          0.059401463717222214,
-          0.9435102343559265,
-          0.6205036044120789,
-          0.8704222440719604,
-          0.0805128887295723,
-          0.40569618344306946,
-          0.7998630404472351,
-          -0.15637905895709991,
-          -0.30140817165374756,
-          -0.10545636713504791,
-          0.013164041563868523,
-          -0.8021248579025269,
-          -0.674019455909729,
-          1.1381953347961641e-15,
-          0.8842353820800781,
-          0.70960932970047,
-          0.8383103013038635,
-          0.9725919365882874,
-          -0.020549282431602478,
-          0.6637487411499023,
-          -0.4817539155483246,
-          0.842215895652771,
-          0.827395498752594,
-          0.5711965560913086,
-          0.9451232552528381,
-          -0.505468487739563,
-          -0.5622516870498657,
-          0.5627862811088562,
-          0.43230360746383667,
-          0.2933533787727356,
-          -0.7023643851280212,
-          0.5701262354850769,
-          0.32938721776008606,
-          -0.9919143915176392,
-          -0.9549797773361206,
-          0.23374751210212708,
-          0.026159776374697685,
-          -0.36292386054992676,
-          0.9944577813148499,
-          0.021349981427192688,
-          -0.4515495300292969,
-          -0.0596543550491333,
-          -0.054855652153491974,
-          -0.8076095581054688,
-          -0.4196002781391144,
-          -0.4410720765590668,
-          -0.6684819459915161,
-          0.8623660206794739,
-          0.7781712412834167,
-          -0.4617902934551239,
-          0.9156145453453064,
-          0.6612699031829834,
-          0.8220000267028809,
-          0.7003620862960815,
-          0.9428480863571167,
-          0.3421337604522705,
-          0.009491427801549435,
-          -0.024708475917577744,
-          -0.243136465549469,
-          -0.6658512353897095,
-          0.05885906517505646,
-          -0.12039002776145935,
-          -0.9692688584327698,
-          -0.9894528985023499,
-          -0.712857186794281,
-          0.9669307470321655,
-          0.9363831281661987,
-          0.7855737209320068,
-          0.0020480032544583082,
-          0.48156502842903137,
-          0.23229436576366425,
-          0.2777603268623352,
-          0.9257963299751282,
-          0.6556273102760315,
-          -0.9106780886650085,
-          -0.3095446527004242,
-          0.9899122714996338,
-          -0.8134732842445374,
-          0.8606582283973694,
-          0.6877522468566895,
-          0.4117426872253418,
-          0.4701825976371765,
-          0.7486863732337952,
-          0.544661283493042,
-          0.7486863732337952,
-          0.678033173084259,
-          0.17454104125499725,
-          -0.17454104125499725,
-          -0.9429054260253906,
-          -0.9972629547119141,
-          -0.7024728059768677,
-          0.484409362077713,
-          -0.7819303274154663,
-          -0.7981323003768921,
-          -0.7253903150558472,
-          -0.28735053539276123,
-          0.36599305272102356,
-          -0.9146113395690918,
-          -0.10216209292411804,
-          0.01893974095582962,
-          0.19509032368659973,
-          -0.6746619939804077,
-          -0.580647885799408,
-          -0.8524736762046814,
-          -0.38539648056030273,
-          0.3909161388874054,
-          0.8446590304374695,
-          -0.9985224008560181,
-          0.5946504473686218,
-          -0.01600003056228161,
-          0.40821167826652527,
-          0.48939603567123413,
-          -0.09601835906505585,
-          -0.9909332990646362,
-          -0.5974749326705933,
-          0.33801841735839844,
-          0.5988664031028748,
-          0.47321829199790955,
-          0.5466654896736145,
-          -0.08516772836446762,
-          -0.08488517999649048,
-          -0.43230360746383667,
-          -0.9939273595809937,
-          -0.8418577313423157,
-          0.37960660457611084,
-          0.3056824207305908,
-          -0.3595028221607208,
-          -0.19509032368659973,
-          -0.29275640845298767,
-          -0.9550285339355469,
-          0.9962120056152344,
-          0.9809043407440186,
-          0.6006340980529785,
-          0.8467000126838684,
-          -0.8403451442718506,
-          -0.8470764756202698,
-          0.2801212966442108,
-          -0.9871431589126587,
-          0.08321216702461243,
-          0.19509032368659973,
-          0.22816050052642822,
-          -0.2699337899684906,
-          -0.6778974533081055,
-          -0.8404248356819153,
-          0.2901766896247864,
-          0.5331884622573853,
-          0.44227609038352966,
-          0.9771484136581421,
-          0.8558570742607117,
-          -0.7451087236404419,
-          0.9981444478034973,
-          -0.678033173084259,
-          -0.8475834727287292,
-          0.3360883593559265,
-          0.9743492007255554,
-          -0.282871812582016,
-          -0.22345055639743805,
-          0.3189956545829773,
-          -0.9293450713157654,
-          0.5089709162712097,
-          0.8060675263404846,
-          0.8813042640686035,
-          -0.5501174926757812,
-          0.43230360746383667,
-          0.399971067905426,
-          0.5860621929168701,
-          -0.8191595077514648,
-          0.8525258898735046,
-          0.4839176535606384,
-          0.43716105818748474,
-          0.44707098603248596,
-          -0.004523725248873234,
-          -0.0728132501244545,
-          -0.5065698027610779,
-          0.10219016671180725,
-          0.12683188915252686,
-          0.46737194061279297,
-          -0.39507293701171875,
-          0.14336158335208893,
-          0.5697399377822876,
-          -0.04716167598962784,
-          -0.02876582369208336,
-          0.716044545173645,
-          0.8369349837303162,
-          -0.3292773365974426,
-          0.7456651926040649,
-          0.5343924760818481,
-          -0.9642449021339417,
-          -0.535721480846405,
-          -0.4752419590950012,
-          0.5506404638290405,
-          0.42234858870506287,
-          0.2887100875377655,
-          -0.06674723327159882,
-          0.6946030259132385,
-          0.02623007260262966,
-          0.946326732635498,
-          -0.5398248434066772,
-          -0.9635012149810791,
-          -0.9525694251060486,
-          -0.5915231704711914,
-          -0.5506868362426758,
-          0.5892135500907898,
-          -0.8410922288894653,
-          -0.9329262375831604,
-          -0.9138374328613281,
-          0.8402705788612366,
-          0.9105742573738098,
-          -0.9931750297546387,
-          -0.4777680039405823,
-          -0.8566827178001404,
-          -0.6324874758720398,
-          0.8885729312896729,
-          0.9815806150436401,
-          -0.13777193427085876,
-          -0.6420971155166626,
-          -0.5806383490562439,
-          0.5950174927711487,
-          -0.8831895589828491,
-          -0.9292991161346436,
-          -0.515745222568512,
-          -0.7781712412834167,
-          -0.47324317693710327,
-          0.7560555934906006,
-          -0.6978248953819275,
-          0.5688090324401855,
-          0.48954278230667114,
-          -0.4428369104862213,
-          -0.2906172573566437,
-          -0.8368217945098877,
-          -0.9935793280601501,
-          0.982795000076294,
-          -0.7022608518600464,
-          -0.5990626811981201,
-          0.4099653661251068,
-          0.8622729182243347,
-          -0.286173015832901,
-          0.16053339838981628,
-          0.6610923409461975,
-          0.5628518462181091,
-          0.18883104622364044,
-          0.8341196775436401,
-          -0.29332637786865234,
-          -0.4320796728134155,
-          -0.5608901381492615,
-          -0.7485610842704773,
-          -0.06010530889034271,
-          0.21931923925876617,
-          -0.22103886306285858,
-          -0.5628518462181091,
-          0.9293450713157654,
-          0.7130826711654663,
-          0.9627287983894348,
-          0.9840801358222961,
-          -0.8595077991485596,
-          0.31655168533325195,
-          0.882563591003418,
-          0.971177875995636,
-          -0.9552678465843201,
-          0.7955359220504761,
-          -0.12935291230678558,
-          0.9853049516677856,
-          -0.33821555972099304,
-          0.9915511608123779,
-          -0.9826152324676514,
-          -0.9881051778793335,
-          0.9917153120040894,
-          0.08590389788150787,
-          -0.6782426834106445,
-          0.47321829199790955,
-          -0.17458701133728027,
-          -0.445766419172287,
-          -0.648909866809845,
-          -0.8623660206794739,
-          0.7130826711654663,
-          0.807781457901001,
-          0.8623660206794739,
-          -0.31360378861427307,
-          0.9839302897453308,
-          0.6382311582565308,
-          -0.9593880772590637,
-          0.3193909227848053,
-          -0.7817341685295105,
-          0.023031573742628098,
-          -0.4200100302696228,
-          0.9933979511260986,
-          -0.8614697456359863,
-          -0.8687127232551575,
-          0.16769032180309296,
-          0.46352097392082214,
-          -0.5226393938064575,
-          -0.24868835508823395,
-          0.16562004387378693,
-          0.3897646963596344,
-          0.7157204151153564,
-          0.3493865430355072,
-          -0.8276746273040771,
-          -0.9994074702262878,
-          0.9726558923721313,
-          -0.2598225772380829,
-          0.9036200046539307,
-          0.9771667718887329,
-          0.8610367178916931,
-          -0.05206523463129997,
-          0.20172397792339325,
-          -0.9491549134254456,
-          0.006670048926025629,
-          0.48246243596076965,
-          0.02163754589855671,
-          0.1861138790845871,
-          -0.9725919365882874,
-          -0.9926801323890686,
-          -0.9994572997093201,
-          0.34400707483291626,
-          0.6316402554512024,
-          -0.8622729182243347,
-          0.6931447386741638,
-          0.8637305498123169,
-          -0.49691101908683777,
-          0.4423399865627289,
-          0.9413233995437622,
-          0.2561284601688385,
-          0.4177584648132324,
-          -0.7151981592178345,
-          0.3847554624080658,
-          0.00911870226264,
-          0.04645007848739624,
-          0.9529821872711182,
-          0.9131877422332764,
-          0.9860866069793701,
-          -0.28687211871147156,
-          0.7533616423606873,
-          0.525320291519165,
-          -0.2505177855491638,
-          0.22584663331508636,
-          -0.31802502274513245,
-          -0.664940357208252,
-          0.3854376971721649,
-          -0.5987637042999268,
-          0.9183555841445923,
-          -0.8924358487129211,
-          -0.39667022228240967,
-          -0.8860922455787659,
-          0.642162561416626,
-          -0.12058087438344955,
-          -0.9389616847038269,
-          -0.830712616443634,
-          -0.606196939945221,
-          -0.7111347317695618,
-          -0.3265444338321686,
-          -0.56674724817276,
-          0.9875668883323669,
-          -0.10216209292411804,
-          0.5815808773040771,
-          0.9071466326713562,
-          -0.8691815733909607,
-          -0.5292973518371582,
-          -0.7014018893241882,
-          0.2636984586715698,
-          0.9412404298782349,
-          0.9982985854148865,
-          0.9909630417823792,
-          -0.3709893822669983,
-          -0.7072163224220276
-         ]
-        }
-       ],
-       "layout": {
-        "height": 500,
-        "scene": {
-         "aspectmode": "data"
-        },
-        "template": {
-         "data": {
-          "bar": [
-           {
-            "error_x": {
-             "color": "#2a3f5f"
-            },
-            "error_y": {
-             "color": "#2a3f5f"
-            },
-            "marker": {
-             "line": {
-              "color": "#E5ECF6",
-              "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "bar"
-           }
-          ],
-          "barpolar": [
-           {
-            "marker": {
-             "line": {
-              "color": "#E5ECF6",
-              "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "barpolar"
-           }
-          ],
-          "carpet": [
-           {
-            "aaxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "baxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "type": "carpet"
-           }
-          ],
-          "choropleth": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "choropleth"
-           }
-          ],
-          "contour": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "contour"
-           }
-          ],
-          "contourcarpet": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "contourcarpet"
-           }
-          ],
-          "heatmap": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "heatmap"
-           }
-          ],
-          "heatmapgl": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "heatmapgl"
-           }
-          ],
-          "histogram": [
-           {
-            "marker": {
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "histogram"
-           }
-          ],
-          "histogram2d": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "histogram2d"
-           }
-          ],
-          "histogram2dcontour": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "histogram2dcontour"
-           }
-          ],
-          "mesh3d": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "mesh3d"
-           }
-          ],
-          "parcoords": [
-           {
-            "line": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "parcoords"
-           }
-          ],
-          "pie": [
-           {
-            "automargin": true,
-            "type": "pie"
-           }
-          ],
-          "scatter": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatter"
-           }
-          ],
-          "scatter3d": [
-           {
-            "line": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatter3d"
-           }
-          ],
-          "scattercarpet": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattercarpet"
-           }
-          ],
-          "scattergeo": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattergeo"
-           }
-          ],
-          "scattergl": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattergl"
-           }
-          ],
-          "scattermapbox": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattermapbox"
-           }
-          ],
-          "scatterpolar": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterpolar"
-           }
-          ],
-          "scatterpolargl": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterpolargl"
-           }
-          ],
-          "scatterternary": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterternary"
-           }
-          ],
-          "surface": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "surface"
-           }
-          ],
-          "table": [
-           {
-            "cells": {
-             "fill": {
-              "color": "#EBF0F8"
-             },
-             "line": {
-              "color": "white"
-             }
-            },
-            "header": {
-             "fill": {
-              "color": "#C8D4E3"
-             },
-             "line": {
-              "color": "white"
-             }
-            },
-            "type": "table"
-           }
-          ]
-         },
-         "layout": {
-          "annotationdefaults": {
-           "arrowcolor": "#2a3f5f",
-           "arrowhead": 0,
-           "arrowwidth": 1
-          },
-          "autotypenumbers": "strict",
-          "coloraxis": {
-           "colorbar": {
-            "outlinewidth": 0,
-            "ticks": ""
-           }
-          },
-          "colorscale": {
-           "diverging": [
-            [
-             0,
-             "#8e0152"
-            ],
-            [
-             0.1,
-             "#c51b7d"
-            ],
-            [
-             0.2,
-             "#de77ae"
-            ],
-            [
-             0.3,
-             "#f1b6da"
-            ],
-            [
-             0.4,
-             "#fde0ef"
-            ],
-            [
-             0.5,
-             "#f7f7f7"
-            ],
-            [
-             0.6,
-             "#e6f5d0"
-            ],
-            [
-             0.7,
-             "#b8e186"
-            ],
-            [
-             0.8,
-             "#7fbc41"
-            ],
-            [
-             0.9,
-             "#4d9221"
-            ],
-            [
-             1,
-             "#276419"
-            ]
-           ],
-           "sequential": [
-            [
-             0,
-             "#0d0887"
-            ],
-            [
-             0.1111111111111111,
-             "#46039f"
-            ],
-            [
-             0.2222222222222222,
-             "#7201a8"
-            ],
-            [
-             0.3333333333333333,
-             "#9c179e"
-            ],
-            [
-             0.4444444444444444,
-             "#bd3786"
-            ],
-            [
-             0.5555555555555556,
-             "#d8576b"
-            ],
-            [
-             0.6666666666666666,
-             "#ed7953"
-            ],
-            [
-             0.7777777777777778,
-             "#fb9f3a"
-            ],
-            [
-             0.8888888888888888,
-             "#fdca26"
-            ],
-            [
-             1,
-             "#f0f921"
-            ]
-           ],
-           "sequentialminus": [
-            [
-             0,
-             "#0d0887"
-            ],
-            [
-             0.1111111111111111,
-             "#46039f"
-            ],
-            [
-             0.2222222222222222,
-             "#7201a8"
-            ],
-            [
-             0.3333333333333333,
-             "#9c179e"
-            ],
-            [
-             0.4444444444444444,
-             "#bd3786"
-            ],
-            [
-             0.5555555555555556,
-             "#d8576b"
-            ],
-            [
-             0.6666666666666666,
-             "#ed7953"
-            ],
-            [
-             0.7777777777777778,
-             "#fb9f3a"
-            ],
-            [
-             0.8888888888888888,
-             "#fdca26"
-            ],
-            [
-             1,
-             "#f0f921"
-            ]
-           ]
-          },
-          "colorway": [
-           "#636efa",
-           "#EF553B",
-           "#00cc96",
-           "#ab63fa",
-           "#FFA15A",
-           "#19d3f3",
-           "#FF6692",
-           "#B6E880",
-           "#FF97FF",
-           "#FECB52"
-          ],
-          "font": {
-           "color": "#2a3f5f"
-          },
-          "geo": {
-           "bgcolor": "white",
-           "lakecolor": "white",
-           "landcolor": "#E5ECF6",
-           "showlakes": true,
-           "showland": true,
-           "subunitcolor": "white"
-          },
-          "hoverlabel": {
-           "align": "left"
-          },
-          "hovermode": "closest",
-          "mapbox": {
-           "style": "light"
-          },
-          "paper_bgcolor": "white",
-          "plot_bgcolor": "#E5ECF6",
-          "polar": {
-           "angularaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "bgcolor": "#E5ECF6",
-           "radialaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           }
-          },
-          "scene": {
-           "xaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           },
-           "yaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           },
-           "zaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           }
-          },
-          "shapedefaults": {
-           "line": {
-            "color": "#2a3f5f"
-           }
-          },
-          "ternary": {
-           "aaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "baxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "bgcolor": "#E5ECF6",
-           "caxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           }
-          },
-          "title": {
-           "x": 0.05
-          },
-          "xaxis": {
-           "automargin": true,
-           "gridcolor": "white",
-           "linecolor": "white",
-           "ticks": "",
-           "title": {
-            "standoff": 15
-           },
-           "zerolinecolor": "white",
-           "zerolinewidth": 2
-          },
-          "yaxis": {
-           "automargin": true,
-           "gridcolor": "white",
-           "linecolor": "white",
-           "ticks": "",
-           "title": {
-            "standoff": 15
-           },
-           "zerolinecolor": "white",
-           "zerolinewidth": 2
-          }
-         }
-        },
-        "title": {
-         "text": "Raw Stochastic Results"
-        },
-        "width": 500,
-        "xaxis": {
-         "range": [
-          -5,
-          5
-         ]
-        },
-        "yaxis": {
-         "range": [
-          -1,
-          0.9999999999999999
-         ]
-        }
-       }
-      },
-      "text/html": [
-       "
                                
                        
    "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "        \n",
-       "        "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "linkText": "Export to plot.ly",
-        "plotlyServerURL": "https://plot.ly",
-        "showLink": false
-       },
-       "data": [
-        {
-         "marker": {
-          "color": [
-           0,
-           0,
-           0,
-           0,
-           328.9541314582948,
-           268.9107532664747,
-           574.8881662864021,
-           274.80076944215443,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           594.6698799705795,
-           769.073010664479,
-           444.9697559618994,
-           977.0395701025892,
-           0,
-           0,
-           0,
-           0,
-           0,
-           101.48163182463973,
-           0,
-           0,
-           1929.2604501607718,
-           785.7958053471533,
-           1034.8523487452414,
-           941.4831981460022,
-           1259.871554558584,
-           3158.3898931523418,
-           2328.2154543166375,
-           2609.9060433824384,
-           2136.3820081990875,
-           887.648998224702,
-           3865.3719242009993,
-           2641.310089804543,
-           0,
-           0,
-           0,
-           0,
-           807.956983255788,
-           592.7535873941071,
-           500.1905487804878,
-           391.1342894393742,
-           0,
-           0,
-           0,
-           0,
-           661.2796567797294,
-           565.5519340387849,
-           1058.5477732691484,
-           1190.9622975364093,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           3069.6817763225213,
-           4662.885948330183,
-           816.4598301763552,
-           0,
-           0,
-           0,
-           0,
-           2896.833234577655,
-           801.3665408380607,
-           703.6281956447219,
-           586.2237420615535,
-           0,
-           0,
-           0,
-           0,
-           2755.227552275523,
-           885.1178122329386,
-           2003.869541182974,
-           6556.284031559062,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           3453.379378391712,
-           6097.5609756097565,
-           1076.754296859128,
-           4359.333644714308,
-           481.069899456391,
-           563.7487033779822,
-           716.3965254768514,
-           705.4234615544214,
-           1534.9194167306216,
-           565.3044399952892,
-           679.3478260869565,
-           703.8618553798508,
-           1417.2758466358348,
-           1682.222704579987,
-           555.2265324252295,
-           1278.6322288386366,
-           1898.62493527415,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           403.2935641068728,
-           250.64589519145488,
-           494.1220069588849,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           407.1775574962793,
-           666.2990533958276,
-           598.6146347025456,
-           643.3436120416177,
-           2636.847502319449,
-           876.9067623786606,
-           4046.8021465646166,
-           2963.1720050797235,
-           1874.2615002240966,
-           987.574929376909,
-           872.1265077092693,
-           0,
-           0,
-           0,
-           73.41604874825637,
-           102.56760914903073,
-           0,
-           84.82723519764745,
-           0,
-           0,
-           0,
-           0,
-           721.7492577465019,
-           2444.0582228981098,
-           4304.272969165754,
-           2232.8383009658323,
-           1501.4147947104002,
-           630.8775111882184,
-           2753.1083481349915,
-           945.9795867562858,
-           1394.8622573520865,
-           248.90256595918,
-           710.0720996285776,
-           7819.521840733417,
-           244.3233008077939,
-           493.26386533896476,
-           347.9017177647314,
-           222.22222222222223,
-           397.15373159026973,
-           363.60991927859794,
-           511.11679018655764,
-           262.49475010499793,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           216.27736740533706,
-           518.3933645649336,
-           436.8719965050241,
-           1291.1385734236253,
-           4535.327816677276,
-           4299.005453962143,
-           7142.857142857143,
-           0,
-           0,
-           0,
-           933.3582228859436,
-           1411.5092290988057,
-           576.3367293820182,
-           341.99076624931126,
-           532.9306746014123,
-           67.60868095463458,
-           100.3854802441375,
-           186.74136321195144,
-           359.1954022988506,
-           881.2207226009925,
-           915.3864522805063,
-           3295.9789057350035,
-           1028.3996519262716,
-           2021.2909311413557,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           1921.8025182239894,
-           832.2087269455691,
-           2728.1407720638385,
-           0,
-           0,
-           2937.33681462141,
-           2747.0541458830335,
-           1139.3355602164738,
-           1846.965699208443,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           990.9347818108415,
-           3726.1294829995345,
-           1509.5706780991486,
-           1804.7283883775492,
-           0,
-           237.14790124107404,
-           693.5249984238068,
-           56.12617163383286,
-           16.643919976032755,
-           257.46652935118436,
-           0,
-           0,
-           0,
-           506.2126092959043,
-           336.12116179290985,
-           400.29736375593296,
-           257.08593097242755,
-           72.1071512267229,
-           174.40267085233077,
-           152.97537096527458,
-           280.9120277166534,
-           0,
-           0,
-           0,
-           282.62559174733275,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           169.91391028545536,
-           98.63554167351636,
-           0,
-           0,
-           1008.3504017646133,
-           767.8132678132678,
-           839.4291881520566,
-           563.5390250774866,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           234.8961758902565,
-           376.7593315213004,
-           458.70321901729585,
-           469.4345921134988,
-           0,
-           0,
-           0,
-           86.11286526207014,
-           48.13014390913029,
-           178.84974066787603,
-           1591.8418107200598,
-           1721.4173002438677,
-           1233.1368535280046,
-           1192.3011412025207,
-           105.15247108307047,
-           80.70862169851294,
-           210.1281781886951,
-           261.4925997594268,
-           338.3560407831814,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           575.0321059592494,
-           173.79214459506431,
-           2848.625372639947,
-           0,
-           0,
-           0,
-           0,
-           859.2822946929089,
-           1053.282348361688,
-           927.3230227587075,
-           27.78395198933096,
-           189.5631922441574,
-           46.979970872418065,
-           1852.3563061836012,
-           5534.517914360617,
-           5839.261068053934,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           1645.1398368861353,
-           765.7367605854406,
-           778.5452798621809,
-           2215.9461220942862,
-           311.0696351597565,
-           837.3456144023446,
-           1210.444406017638,
-           981.2529050250479,
-           250.52610482012224,
-           417.6346219101564,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           2402.236836923562,
-           3087.285994948077,
-           1830.501942901185,
-           1360.3679471399885,
-           629.5907660020986,
-           1040.070067878257,
-           215.7318287421175,
-           359.4311611189248,
-           0,
-           0,
-           0,
-           0,
-           232.35820340637127,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           442.6011835483501,
-           1544.4015444015445,
-           3424.2460651207493,
-           1742.6903820087964,
-           2807.5804672616064,
-           6558.028616852146,
-           0,
-           0,
-           0,
-           0,
-           0,
-           35.80635920939559,
-           1218.892839004571,
-           2654.9847338377804,
-           268.87141224709285,
-           535.6968929580208,
-           142.88889594513066,
-           74.79012022511826,
-           377.63399712998165,
-           394.71952984518225,
-           1427.5074478649453,
-           682.6326867284828,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           300.42058882435407,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           882.5259854873505,
-           141.86409419775856,
-           0,
-           3231.5398287283892,
-           538.1123953020448,
-           2421.47502421475,
-           1184.6510430079834,
-           835.0525591904902,
-           448.53106077595874,
-           1625.6990505917545,
-           1350.0302592989153,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           2341.528683726375,
-           1262.6651473622617,
-           877.4253360704589,
-           1321.0958142122097,
-           2364.998029168309,
-           1267.342582710779,
-           1074.3662917575962,
-           1250.1785969424204,
-           0,
-           0,
-           0,
-           0,
-           782.1962050867985,
-           1100.5047967654727,
-           1270.9264615654308,
-           3208.5561497326203,
-           762.5002382813245,
-           1457.3643410852712,
-           885.4994940002891,
-           1088.3886120181016,
-           1714.0492936934806,
-           547.4785570898473,
-           1817.0805572380375,
-           2450.273854136639,
-           161.96954972465176,
-           80.65979714061018,
-           92.52191612888303,
-           0,
-           52.75652862041678,
-           0,
-           0,
-           0,
-           2940.0235201881615,
-           2362.8400184416782,
-           101.27402726296815,
-           188.0229387985334,
-           106.91985287828244,
-           0,
-           2355.1577955723033,
-           2163.5464500176613,
-           1833.622852731133,
-           1233.2245194051504,
-           132.91055119904306,
-           275.9243465609793,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           6599.957419629551,
-           2807.0175438596493,
-           1963.5114129100875,
-           1384.3225471534868,
-           1037.2976142154873,
-           428.01752354096374,
-           2990.081680280047,
-           2042.561276838305,
-           0,
-           0,
-           186.6368047779022,
-           0,
-           44.08393581378946,
-           0,
-           0,
-           0,
-           0,
-           0,
-           84.60057951396968,
-           0,
-           0,
-           0,
-           0,
-           153.51550506601166,
-           0,
-           1476.886722788362,
-           0,
-           0,
-           0,
-           0,
-           838.4998475454822,
-           908.359502738055,
-           606.5586600923534,
-           1085.162661361427,
-           875.8136109397083,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           951.4747859181731,
-           4220.64599331731,
-           3684.9378166743436,
-           0,
-           33.67456896551724,
-           0,
-           0,
-           0,
-           0,
-           0,
-           311.85679535957087,
-           320.2712886209495,
-           248.91339728492923,
-           0,
-           0,
-           778.311064988974,
-           892.2198429693076,
-           311.53341195843257,
-           402.9936672423719,
-           587.2421639873743,
-           975.3378849101296,
-           1028.3305054244433,
-           0,
-           0,
-           0,
-           0,
-           0,
-           299.4161385298667,
-           463.29661278698654,
-           592.6364915919697,
-           163.82252559726965,
-           241.11879119112683,
-           0,
-           0,
-           0,
-           0,
-           383.22566517026166,
-           1232.9561937917028,
-           937.7930603313536,
-           6981.801533707222,
-           0,
-           111.85682326621924,
-           0,
-           995.9608255408622,
-           286.3585925475176,
-           188.763832849626,
-           491.8234353866962,
-           347.4807644576818,
-           393.2805213776055,
-           0,
-           0,
-           0,
-           0,
-           1452.4328249818445,
-           0,
-           0,
-           1277.1699840956192,
-           1498.8167236392321,
-           2255.8386411889596,
-           0,
-           0,
-           0,
-           0,
-           4661.339421613394,
-           3648.127753303965,
-           2018.783463530238,
-           0,
-           413.13778145011366,
-           4398.976982097186,
-           3756.1398439757295,
-           3293.084522502744,
-           3467.5499430700756,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           167.3400109966293,
-           63.32988537290747,
-           495.89757461004416,
-           345.7216940363008,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           1271.2941774726671,
-           1150.492491522687,
-           1044.6392172849573,
-           0,
-           0,
-           0,
-           0,
-           0,
-           60.66672733339399,
-           0,
-           20.807324178110697,
-           72.90223809870963,
-           258.544073685061,
-           0,
-           0,
-           1925.8021147487373,
-           0,
-           0,
-           0,
-           2568.4931506849316,
-           4821.178120617111,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           3070.848870366309,
-           3157.1950814223997,
-           2936.4826045323975,
-           552.5472427892585,
-           118.7507421921387,
-           1710.2262760919136,
-           0,
-           0,
-           1700.0036170289723,
-           1335.9583743495991,
-           0,
-           51.25226364164417,
-           90.21064184871675,
-           0,
-           0,
-           187.35011990407673,
-           0,
-           0,
-           0,
-           0,
-           0,
-           163.71971185330713,
-           616.610539297064,
-           0,
-           0,
-           0,
-           741.2065944926104,
-           616.2728466940205,
-           709.8743522396536,
-           2447.5755771647814,
-           740.6101216716628,
-           272.93197170605225,
-           598.115934805363,
-           507.84856879039705,
-           319.1036732378386,
-           0,
-           0,
-           0,
-           0,
-           0,
-           1155.9090068429812,
-           965.8964261832231,
-           6297.950303446697,
-           0,
-           752.0339098926642,
-           2037.9369807179808,
-           1290.0055285951228,
-           0,
-           408.1216202428323,
-           0,
-           1323.0138254944764,
-           4495.825305073859,
-           857.8926120306822,
-           1646.249939476105,
-           495.59681293126454,
-           0,
-           6629.834254143646,
-           5288.414454999511,
-           8383.516353760773,
-           0,
-           0,
-           0,
-           0,
-           0,
-           966.3108885667853,
-           0,
-           0,
-           937.4707040404987,
-           0,
-           0,
-           0,
-           0,
-           0,
-           441.25758411472697,
-           151.92027224112786,
-           663.5299794908916,
-           2098.6358866736623,
-           9813.384813384813,
-           3273.980470993682,
-           0,
-           282.60562385191463,
-           170.77231780728346,
-           429.8486932599725,
-           0,
-           0,
-           0,
-           0,
-           847.9551236057661,
-           0,
-           200.41586291554975,
-           299.3533966632075,
-           0,
-           0,
-           723.4768229032092,
-           406.0638873849486,
-           1835.305481767689,
-           2518.4275184275184,
-           0,
-           0,
-           0,
-           0,
-           992.8432548711372,
-           549.9317677251156,
-           0,
-           779.6900256727204,
-           2151.1801613385123,
-           934.9827387802071,
-           196.0399921584003,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           4613.126441602013,
-           6251.2603347449085,
-           1640.5338044609898,
-           0,
-           0,
-           0,
-           911.3946561152359,
-           0,
-           0,
-           0,
-           0,
-           3574.573900429985,
-           0,
-           0,
-           0,
-           0,
-           1536.3343063450607,
-           1586.4621893178212,
-           1408.3605402983164,
-           753.9500426145677,
-           0,
-           0,
-           1214.8931608661474,
-           2035.042438080111,
-           0,
-           0,
-           488.20179007323026,
-           0,
-           1363.1022326674502,
-           1673.2901066722445,
-           0,
-           0,
-           0,
-           0,
-           1380.3556445719544,
-           6177.813591189901,
-           3716.062490520249,
-           0,
-           1719.8136868505912,
-           0,
-           0,
-           0,
-           0,
-           1858.952015801092,
-           2047.3562399857576,
-           4287.245444801715,
-           5671.077504725898,
-           626.8211696144203,
-           0,
-           0,
-           1665.4770402093743,
-           933.1622535868424,
-           352.43532811729045,
-           3027.0542977864666,
-           0,
-           0,
-           739.7908857762873,
-           213.2044630800938,
-           1844.532279314888,
-           3134.6495742490874,
-           4231.844630847125,
-           4495.078663876618,
-           648.1406465202949,
-           645.9113809585325,
-           0,
-           0,
-           2022.4394471998844,
-           2055.039313795568,
-           0,
-           0,
-           478.67248165088824,
-           628.3459421419057,
-           4893.196574762398,
-           2916.940129803836,
-           211.79261267366994,
-           410.5300969877354,
-           2899.00493614354,
-           0,
-           440.50437751225155,
-           478.9941123640356,
-           558.7792821835375,
-           3242.0500793267574,
-           1450.560077363204,
-           635.9851988899168,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           376.70864277257556,
-           649.2133949331159,
-           408.4133142740453,
-           0,
-           0,
-           2760.2523659305994,
-           4026.1002360127723,
-           3639.4776279169346,
-           0,
-           748.6295249824917,
-           46.74644727000748,
-           0,
-           0,
-           0,
-           0,
-           1165.9541391371938,
-           907.9613877473,
-           1917.5455417066157,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           2147.496333542845,
-           558.0173970129657,
-           0,
-           1965.6295630686286,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           169.91391028545536,
-           445.9805998439068,
-           2925.858739540055,
-           0,
-           405.71870170015455,
-           303.1374728439347,
-           0,
-           10079.575596816976,
-           4489.983882109142,
-           5789.909015715467,
-           0,
-           469.8059340103357,
-           4773.707885798219,
-           0,
-           0,
-           0,
-           0,
-           0,
-           171.39918871050676,
-           1201.2325690708726,
-           0,
-           0,
-           3745.1089994410286,
-           4258.943781942078,
-           116.95222501608092,
-           526.6237565827969,
-           910.8179144872095,
-           3681.3224977425853,
-           0,
-           0,
-           3709.29209103483,
-           4253.9782574444625,
-           2135.054617676266,
-           0,
-           0,
-           0,
-           5627.666333847689,
-           4357.694053563323,
-           3182.7723979142684,
-           0,
-           0,
-           0,
-           547.4785570898473,
-           0,
-           874.9950284373384,
-           1278.8584505620247,
-           0,
-           902.4049090827054,
-           198.95218515816697,
-           0,
-           0,
-           3327.0389353475407,
-           0,
-           0,
-           458.44794531966323,
-           596.3656774012488,
-           4544.005102040816,
-           0,
-           0,
-           0,
-           0,
-           3429.355281207133,
-           0,
-           0,
-           3696.2131250435878,
-           0,
-           0,
-           1017.0950201463053,
-           0,
-           0,
-           0,
-           3780.5141499243896,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           1263.2169926078413,
-           1560.323209807746,
-           8480.993487808571,
-           0,
-           0,
-           2823.108173242443,
-           1394.0861398488516,
-           0,
-           0,
-           1110.370863868532,
-           269.72353337828724,
-           309.59752321981426,
-           0,
-           792.2674694977025,
-           8562.793821356614,
-           5944.369672498879,
-           0,
-           382.1795151779865,
-           269.19349628512975,
-           13089.005235602095,
-           0,
-           0,
-           2841.6010392140943,
-           349.7359493582345,
-           731.0832216400632,
-           0,
-           0,
-           0,
-           5460.114529231589,
-           0,
-           0,
-           0,
-           579.2624058698591,
-           511.770726714432,
-           2503.3974679922753,
-           0,
-           0,
-           0,
-           0,
-           0,
-           669.1449814126394,
-           996.710854181202,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           499.5717956037682,
-           0,
-           0,
-           0,
-           0,
-           0,
-           0,
-           1088.139281828074,
-           0,
-           1030.5736860185505,
-           1168.0382267056011,
-           0,
-           0,
-           0,
-           436.5287235900122,
-           1934.8868511819635,
-           730.8338814587444,
-           1791.900609246207,
-           0,
-           1828.1535648994513
-          ],
-          "colorbar": {
-           "thickness": 20,
-           "title": {
-            "text": "A"
-           }
-          },
-          "colorscale": [
-           [
-            0,
-            "#0508b8"
-           ],
-           [
-            0.08333333333333333,
-            "#1910d8"
-           ],
-           [
-            0.16666666666666666,
-            "#3c19f0"
-           ],
-           [
-            0.25,
-            "#6b1cfb"
-           ],
-           [
-            0.3333333333333333,
-            "#981cfd"
-           ],
-           [
-            0.4166666666666667,
-            "#bf1cfd"
-           ],
-           [
-            0.5,
-            "#dd2bfd"
-           ],
-           [
-            0.5833333333333334,
-            "#f246fe"
-           ],
-           [
-            0.6666666666666666,
-            "#fc67fd"
-           ],
-           [
-            0.75,
-            "#fe88fc"
-           ],
-           [
-            0.8333333333333334,
-            "#fea5fd"
-           ],
-           [
-            0.9166666666666666,
-            "#febefe"
-           ],
-           [
-            1,
-            "#fec3fe"
-           ]
-          ],
-          "size": 5
-         },
-         "mode": "markers",
-         "name": "A",
-         "type": "scatter3d",
-         "x": [
-          -2.101682662963867,
-          -1.887513518333435,
-          -1.7570427656173706,
-          -1.8541388511657715,
-          1.8749754428863525,
-          1.80832040309906,
-          2.1825294494628906,
-          2.062222480773926,
-          -2.38004469871521,
-          -2.3056769371032715,
-          -2.2629430294036865,
-          -2.0936312675476074,
-          -1.9997928142547607,
-          -1.7547287940979004,
-          -1.6898266077041626,
-          -1.6704288721084595,
-          3.5905017852783203,
-          3.2578799724578857,
-          3.160881519317627,
-          3.4964303970336914,
-          -0.6913178563117981,
-          -1.0443613529205322,
-          -0.8108569979667664,
-          -0.5850074887275696,
-          -0.293684720993042,
-          0.0675533190369606,
-          -0.271133154630661,
-          0.018742907792329788,
-          4.4305853843688965,
-          4.508673667907715,
-          4.325611114501953,
-          4.611989498138428,
-          3.4338648319244385,
-          3.488844871520996,
-          3.289395570755005,
-          3.6204428672790527,
-          3.71138858795166,
-          3.857684850692749,
-          3.974630117416382,
-          4.003854274749756,
-          -3.9132473468780518,
-          -4.0064496994018555,
-          -3.8273096084594727,
-          -3.709832191467285,
-          2.3001842498779297,
-          2.2914557456970215,
-          2.0052285194396973,
-          2.2628118991851807,
-          -1.980513334274292,
-          -2.0251479148864746,
-          -1.7515032291412354,
-          -2.1317431926727295,
-          3.794757843017578,
-          3.3874454498291016,
-          3.7147281169891357,
-          3.586693048477173,
-          -2.8868887424468994,
-          -3.001088857650757,
-          -2.9482247829437256,
-          -2.6325371265411377,
-          -4.134808540344238,
-          -3.772261619567871,
-          -4.165527820587158,
-          -3.994203805923462,
-          -4.163450241088867,
-          3.875136137008667,
-          3.7112133502960205,
-          3.765407085418701,
-          -2.4520857334136963,
-          -2.657001495361328,
-          -2.6662352085113525,
-          -2.8774945735931396,
-          3.942436933517456,
-          3.8352348804473877,
-          3.6082088947296143,
-          4.133811950683594,
-          -3.171978712081909,
-          -3.221795082092285,
-          -3.0311388969421387,
-          -2.9480156898498535,
-          4.4702277183532715,
-          4.6418352127075195,
-          4.766424655914307,
-          4.669127941131592,
-          -3.4734950065612793,
-          -3.1584713459014893,
-          -3.2440361976623535,
-          -3.3585245609283447,
-          -2.429314613342285,
-          -2.2996301651000977,
-          -2.1834332942962646,
-          -1.2482850551605225,
-          -0.8828672766685486,
-          -0.8636268973350525,
-          4.625131607055664,
-          5,
-          4.731442928314209,
-          4.639413356781006,
-          2.726271152496338,
-          2.482100486755371,
-          2.630417823791504,
-          2.613208293914795,
-          2.359410285949707,
-          2.4850215911865234,
-          2.0713677406311035,
-          2.9034955501556396,
-          3.2096197605133057,
-          3.0044784545898438,
-          3.031195640563965,
-          2.8652327060699463,
-          3.303494453430176,
-          -0.9179192781448364,
-          -1.1669803857803345,
-          -1.2644528150558472,
-          -1.0285327434539795,
-          -0.8682996034622192,
-          -1.0111645460128784,
-          -1.1425732374191284,
-          -0.9068978428840637,
-          1.6444306373596191,
-          1.5535091161727905,
-          1.877994418144226,
-          -4.233823299407959,
-          -4.286869049072266,
-          -4.4695281982421875,
-          -4.121842384338379,
-          -1.4972978830337524,
-          -0.9989351034164429,
-          -1.422027349472046,
-          -1.2346546649932861,
-          -2.2228097915649414,
-          -2.000976085662842,
-          -2.127882480621338,
-          -4.581174373626709,
-          -4.083948135375977,
-          2.5844061374664307,
-          2.6696746349334717,
-          2.439190149307251,
-          2.836972236633301,
-          3.768427848815918,
-          3.901214361190796,
-          4.03761625289917,
-          3.712953805923462,
-          3.7559714317321777,
-          3.856983184814453,
-          4.166917324066162,
-          -2.2912299633026123,
-          -2.089019775390625,
-          -1.982771635055542,
-          0.2804890275001526,
-          0.14649292826652527,
-          -0.02719704993069172,
-          0.35809698700904846,
-          -0.09706947952508926,
-          -0.06142881140112877,
-          -0.6113005876541138,
-          -0.263994425535202,
-          4.316342830657959,
-          4.358631610870361,
-          4.577394962310791,
-          4.1251115798950195,
-          2.637986421585083,
-          2.9547457695007324,
-          2.78865909576416,
-          1.622883915901184,
-          1.6951839923858643,
-          1.6690202951431274,
-          1.4459738731384277,
-          5,
-          1.4305493831634521,
-          1.2514207363128662,
-          1.230926275253296,
-          1.0252352952957153,
-          1.0430431365966797,
-          1.0417221784591675,
-          1.277311086654663,
-          0.8228275179862976,
-          -2.6111531257629395,
-          -0.8876737952232361,
-          -0.6530675888061523,
-          -0.8721553087234497,
-          -1.1404987573623657,
-          -3.7799670696258545,
-          -3.7419769763946533,
-          -3.7747626304626465,
-          -3.765298843383789,
-          -1.3552204370498657,
-          -1.448533058166504,
-          1.976080060005188,
-          2.3143045902252197,
-          2.006865978240967,
-          4.718459129333496,
-          5,
-          5,
-          5,
-          -0.21346406638622284,
-          -0.3900603652000427,
-          -0.7078602910041809,
-          2.546725273132324,
-          2.2419445514678955,
-          2.62286114692688,
-          2.31475830078125,
-          2.815099000930786,
-          0.17036111652851105,
-          0.35399267077445984,
-          0.22068481147289276,
-          0.5616357326507568,
-          2.168175220489502,
-          2.396758794784546,
-          2.032904624938965,
-          1.9458956718444824,
-          1.672920823097229,
-          -1.9237370491027832,
-          -1.7913600206375122,
-          -2.1189286708831787,
-          -4.244471549987793,
-          -4.725438117980957,
-          -4.62848424911499,
-          -4.6635870933532715,
-          -4.4014410972595215,
-          -0.39015352725982666,
-          -3.62326979637146,
-          -3.6562275886535645,
-          -3.3212900161743164,
-          -2.650617837905884,
-          -2.9336674213409424,
-          -2.5238282680511475,
-          -2.854623556137085,
-          3.359579563140869,
-          3.281346321105957,
-          3.4625306129455566,
-          -1.6233601570129395,
-          -1.4790972471237183,
-          3.500380516052246,
-          4.63165283203125,
-          4.554935932159424,
-          4.720632076263428,
-          -0.6211792826652527,
-          -0.9868704080581665,
-          -0.2744942903518677,
-          -0.23266896605491638,
-          -0.4965898394584656,
-          -0.32649561762809753,
-          -1.423138976097107,
-          -1.7905021905899048,
-          -1.4218405485153198,
-          -3.732257604598999,
-          -3.5719547271728516,
-          -3.941251754760742,
-          -3.9911673069000244,
-          2.76228666305542,
-          3.034092664718628,
-          2.5956602096557617,
-          3.0007383823394775,
-          -2.4493157863616943,
-          1.5511066913604736,
-          1.313583254814148,
-          0.09208802133798599,
-          0.2716134786605835,
-          0.33897581696510315,
-          -2.9448187351226807,
-          -3.1763267517089844,
-          -2.965965747833252,
-          2.055418014526367,
-          1.7646766901016235,
-          2.0915160179138184,
-          1.9841140508651733,
-          0.7309734225273132,
-          0.8535610437393188,
-          1.1015901565551758,
-          1.1043431758880615,
-          -3.231236696243286,
-          -3.466428518295288,
-          -3.2163987159729004,
-          1.5548237562179565,
-          -2.620222806930542,
-          -2.8454513549804688,
-          -2.381518602371216,
-          -1.7730915546417236,
-          -2.034778118133545,
-          -1.792545199394226,
-          0.23506808280944824,
-          0.15298357605934143,
-          -0.12086783349514008,
-          -0.0009967255173251033,
-          3.0469939708709717,
-          3.3803346157073975,
-          3.5396389961242676,
-          3.4276304244995117,
-          -3.4141626358032227,
-          -3.28906512260437,
-          -3.1413207054138184,
-          -2.9626805782318115,
-          -3.5331058502197266,
-          -2.7990610599517822,
-          -2.5825302600860596,
-          1.0379852056503296,
-          1.3705062866210938,
-          1.090142846107483,
-          1.1630381345748901,
-          -0.7285075783729553,
-          -0.5913762450218201,
-          -0.41392114758491516,
-          0.37851566076278687,
-          0.2083987444639206,
-          0.536102294921875,
-          4.585145950317383,
-          4.314233303070068,
-          4.690446853637695,
-          4.508464336395264,
-          0.5570757389068604,
-          0.7471429109573364,
-          0.8703640103340149,
-          0.735404372215271,
-          1.950286626815796,
-          -2.459625482559204,
-          -2.3318281173706055,
-          -4.318643569946289,
-          -2.7759718894958496,
-          -2.491568088531494,
-          -2.487426280975342,
-          3.034865140914917,
-          1.392642855644226,
-          3.841580390930176,
-          -1.7278932332992554,
-          -1.9114822149276733,
-          -1.5143166780471802,
-          -1.7121433019638062,
-          4.3564581871032715,
-          4.085196018218994,
-          4.489546298980713,
-          0.03738686069846153,
-          0.4072064459323883,
-          0.3515777885913849,
-          4.740171909332275,
-          5,
-          5,
-          -3.7102108001708984,
-          -3.5805227756500244,
-          -3.250467300415039,
-          -3.6381490230560303,
-          -5,
-          -4.672852039337158,
-          -5,
-          -5,
-          3.9007976055145264,
-          4.133395671844482,
-          4.175212860107422,
-          4.236222267150879,
-          1.3414992094039917,
-          1.545016884803772,
-          1.7293202877044678,
-          1.7089415788650513,
-          1.5792618989944458,
-          1.938088297843933,
-          -4.447057247161865,
-          -4.589023590087891,
-          -4.721797943115234,
-          -5,
-          -4.662319183349609,
-          -4.697544574737549,
-          -4.536230564117432,
-          5,
-          5,
-          5,
-          2.2066378593444824,
-          1.9319493770599365,
-          2.258507013320923,
-          2.2539353370666504,
-          2.732060194015503,
-          -2.9786436557769775,
-          -2.8140065670013428,
-          -2.7915046215057373,
-          -2.627666711807251,
-          0.9115676283836365,
-          -0.532065212726593,
-          -0.5675407648086548,
-          -0.5571060180664062,
-          -2.564318895339966,
-          -4.4288010597229,
-          -4.226881980895996,
-          -4.208695411682129,
-          -4.0041913986206055,
-          -4.3078436851501465,
-          -4.320655345916748,
-          2.809098720550537,
-          2.785369634628296,
-          5,
-          4.710524559020996,
-          5,
-          5,
-          -4.560494422912598,
-          -4.414031982421875,
-          -4.710155963897705,
-          0.027450760826468468,
-          -0.09511373937129974,
-          0.3111163377761841,
-          4.47791862487793,
-          4.311753749847412,
-          2.278442859649658,
-          2.3220880031585693,
-          1.0773473978042603,
-          0.6730288863182068,
-          1.7689932584762573,
-          1.6555397510528564,
-          1.9800528287887573,
-          2.0714244842529297,
-          -0.6446894407272339,
-          -0.43192827701568604,
-          -3.7548670768737793,
-          -3.300417423248291,
-          -1.1125221252441406,
-          -0.6115882396697998,
-          -2.978154420852661,
-          -3.3732173442840576,
-          -3.242103338241577,
-          1.2596628665924072,
-          -3.6130688190460205,
-          -3.133923292160034,
-          -3.3986732959747314,
-          -3.5859854221343994,
-          -3.520331621170044,
-          -3.851719617843628,
-          -3.865055561065674,
-          0.5590431690216064,
-          0.6265019774436951,
-          -0.03324676677584648,
-          2.4285573959350586,
-          2.5746889114379883,
-          2.7181601524353027,
-          2.378453016281128,
-          3.447817087173462,
-          2.445730209350586,
-          2.310244083404541,
-          2.6667962074279785,
-          -4.695241928100586,
-          -5,
-          -4.548861980438232,
-          -0.33884161710739136,
-          -0.5452479720115662,
-          -0.44265344738960266,
-          -1.2199991941452026,
-          -1.154729962348938,
-          -0.9447287917137146,
-          -0.8053910136222839,
-          3.9948537349700928,
-          3.997985601425171,
-          4.207438945770264,
-          2.2636070251464844,
-          2.816199541091919,
-          3.2298614978790283,
-          3.0754427909851074,
-          3.1898257732391357,
-          -2.0362820625305176,
-          -1.695935845375061,
-          -2.8119935989379883,
-          -2.5727436542510986,
-          3.0221409797668457,
-          3.255614995956421,
-          3.368884563446045,
-          3.2635715007781982,
-          4.541206359863281,
-          3.801682472229004,
-          4.062766075134277,
-          3.6565608978271484,
-          2.893397092819214,
-          3.020784378051758,
-          2.637270450592041,
-          2.978060007095337,
-          0.706810474395752,
-          0.7772684097290039,
-          0.8003952503204346,
-          -0.22241777181625366,
-          -0.1280590295791626,
-          -2.9058010578155518,
-          -0.3929927349090576,
-          -1.6517680883407593,
-          4.374144554138184,
-          4.208742141723633,
-          1.0169200897216797,
-          0.6947392225265503,
-          0.6771532297134399,
-          -4.339812278747559,
-          3.8944802284240723,
-          3.9562127590179443,
-          2.033257246017456,
-          1.9155778884887695,
-          1.3438067436218262,
-          1.0825568437576294,
-          -1.7339566946029663,
-          -1.3611284494400024,
-          -1.3337901830673218,
-          -1.2508692741394043,
-          -2.2653911113739014,
-          -2.2419567108154297,
-          -3.1367833614349365,
-          -1.81843900680542,
-          -2.1527793407440186,
-          -1.6042685508728027,
-          -1.647326946258545,
-          4.628890037536621,
-          4.72548246383667,
-          2.286425828933716,
-          1.9910200834274292,
-          2.3555381298065186,
-          2.0931544303894043,
-          3.7614736557006836,
-          3.912747859954834,
-          -4.636204242706299,
-          -4.488008499145508,
-          0.4070380926132202,
-          -0.13350971043109894,
-          0.19662299752235413,
-          0.13111887872219086,
-          -0.7308740019798279,
-          -0.5450983643531799,
-          -0.6622709035873413,
-          0.003929497674107552,
-          0.24031925201416016,
-          -0.22965681552886963,
-          -0.0660269558429718,
-          -0.17119362950325012,
-          -0.18464888632297516,
-          -0.0036181053146719933,
-          -0.7095974087715149,
-          1.9864104986190796,
-          -2.5475826263427734,
-          -2.7074756622314453,
-          -2.891202926635742,
-          -2.509110927581787,
-          2.9578778743743896,
-          3.029849052429199,
-          2.3168818950653076,
-          3.536309242248535,
-          3.2530806064605713,
-          -3.741461992263794,
-          -2.821955680847168,
-          -3.082059383392334,
-          -2.9099485874176025,
-          -2.7286927700042725,
-          -0.6247063279151917,
-          -0.3622240722179413,
-          -0.4216044247150421,
-          1.6000310182571411,
-          5,
-          5,
-          -1.6445059776306152,
-          0.2146318256855011,
-          -4.1633453369140625,
-          -4.1257829666137695,
-          -3.817925214767456,
-          -3.784167766571045,
-          -1.2936067581176758,
-          1.8930131196975708,
-          1.5624295473098755,
-          1.5452696084976196,
-          -1.8079805374145508,
-          -1.6008325815200806,
-          1.2422401905059814,
-          1.4802297353744507,
-          1.4433354139328003,
-          1.5805444717407227,
-          0.7913298010826111,
-          2.578340768814087,
-          2.6075079441070557,
-          -0.813774585723877,
-          -5,
-          -5,
-          -4.7412261962890625,
-          -4.72172212600708,
-          1.3737642765045166,
-          1.2108287811279297,
-          1.3925875425338745,
-          1.4203695058822632,
-          0.5987880825996399,
-          -4.71983003616333,
-          -5,
-          -5,
-          -4.692821025848389,
-          1.909011960029602,
-          1.7303102016448975,
-          1.6846473217010498,
-          5,
-          -3.5527470111846924,
-          0.37845441699028015,
-          -1.9841102361679077,
-          3.145871162414551,
-          1.289706826210022,
-          0.7273845076560974,
-          0.720970630645752,
-          1.0219862461090088,
-          0.8861194849014282,
-          -4.596095085144043,
-          -4.253779888153076,
-          -4.743481159210205,
-          -1.5359901189804077,
-          3.121032953262329,
-          -4.488008499145508,
-          -1.1460216045379639,
-          4.6934332847595215,
-          4.375402450561523,
-          4.680056095123291,
-          -4.230134010314941,
-          -3.7863848209381104,
-          -4.4221673011779785,
-          -4.591073989868164,
-          4.1638264656066895,
-          4.340243339538574,
-          4.488320350646973,
-          -2.5075998306274414,
-          1.917682409286499,
-          4.661116600036621,
-          4.636397361755371,
-          4.488320350646973,
-          5,
-          -3.489121437072754,
-          -1.138638973236084,
-          -0.7274905443191528,
-          -4.574654579162598,
-          -4.382515907287598,
-          -3.1639509201049805,
-          -2.7766637802124023,
-          0.7139411568641663,
-          0.4993683397769928,
-          0.7703021764755249,
-          0.901824951171875,
-          -1.5355284214019775,
-          -2.1874425411224365,
-          -2.3504247665405273,
-          -4.327395915985107,
-          -2.3662376403808594,
-          -3.6765761375427246,
-          1.808962345123291,
-          4.351280689239502,
-          4.706614017486572,
-          -3.448230266571045,
-          -3.3269059658050537,
-          -1.3753197193145752,
-          -1.1046783924102783,
-          -1.4444420337677002,
-          0.29257264733314514,
-          0.009619895368814468,
-          0.32545214891433716,
-          0.23237977921962738,
-          1.4445356130599976,
-          -1.2714718580245972,
-          -1.4109042882919312,
-          4.735227108001709,
-          -3.157381772994995,
-          -5,
-          -4.624974727630615,
-          4.58084774017334,
-          4.646906852722168,
-          -4.253415107727051,
-          -3.6714272499084473,
-          -4.048503875732422,
-          -3.91367769241333,
-          -0.662963330745697,
-          -0.45707225799560547,
-          -0.3023490607738495,
-          -0.10872425138950348,
-          -0.40253975987434387,
-          -0.7720760107040405,
-          -2.228641986846924,
-          -2.0955162048339844,
-          -1.9311330318450928,
-          4.527668476104736,
-          4.4020185470581055,
-          4.253148078918457,
-          4.159819602966309,
-          0.06420236825942993,
-          4.135446548461914,
-          -0.9258043766021729,
-          -0.8058002591133118,
-          4.537054061889648,
-          4.744240760803223,
-          -0.8789688944816589,
-          0.3651331961154938,
-          0.7293714880943298,
-          -0.06956324726343155,
-          -0.08140537887811661,
-          1.721306324005127,
-          -3.6552634239196777,
-          -3.3976213932037354,
-          -3.114668607711792,
-          -2.9648706912994385,
-          -2.7460291385650635,
-          0.9609786868095398,
-          1.0764851570129395,
-          -2.625852346420288,
-          -2.673210859298706,
-          -2.3928139209747314,
-          3.227536678314209,
-          3.531540632247925,
-          3.7912299633026123,
-          3.446416139602661,
-          1.760624647140503,
-          1.2702659368515015,
-          1.4204895496368408,
-          1.1356712579727173,
-          1.1212012767791748,
-          -0.7966426014900208,
-          -4.596960067749023,
-          -2.358410358428955,
-          -2.481785297393799,
-          -2.317129611968994,
-          2.1517908573150635,
-          1.9424786567687988,
-          4.65165901184082,
-          -4.577237129211426,
-          3.162456750869751,
-          3.290433168411255,
-          3.418100118637085,
-          -3.9114646911621094,
-          0.9896045327186584,
-          -0.19112993776798248,
-          2.6939661502838135,
-          3.0167806148529053,
-          2.893794298171997,
-          3.0206243991851807,
-          1.2407162189483643,
-          -0.46050986647605896,
-          5,
-          4.663840293884277,
-          5,
-          -3.103480339050293,
-          -2.277939558029175,
-          -2.125932216644287,
-          -1.824216604232788,
-          -2.0925588607788086,
-          2.68068528175354,
-          -4.7859697341918945,
-          -4.575015544891357,
-          2.8520922660827637,
-          -3.2595419883728027,
-          -4.203586101531982,
-          -4.2565202713012695,
-          -3.767660140991211,
-          -3.32572078704834,
-          0.5733931660652161,
-          0.5859797596931458,
-          0.6658535599708557,
-          4.556863307952881,
-          5,
-          5,
-          -2.477255344390869,
-          0.25908347964286804,
-          0.25868678092956543,
-          0.49322885274887085,
-          -5,
-          -0.1877877414226532,
-          -5,
-          -5,
-          3.983049154281616,
-          -2.6407032012939453,
-          0.5915303230285645,
-          1.0867373943328857,
-          -1.214605450630188,
-          -1.4895960092544556,
-          2.3244974613189697,
-          1.0752484798431396,
-          3.5134105682373047,
-          3.492990732192993,
-          -4.003303050994873,
-          -4.055683612823486,
-          -4.244694709777832,
-          -4.091361999511719,
-          2.220043897628784,
-          2.544774293899536,
-          -5,
-          3.5021090507507324,
-          3.226494312286377,
-          1.4538578987121582,
-          0.25620901584625244,
-          -4.075596809387207,
-          -4.281928539276123,
-          -4.1883087158203125,
-          -4.555990695953369,
-          -4.334146976470947,
-          -4.165266990661621,
-          4.628626346588135,
-          4.596282482147217,
-          4.575169086456299,
-          -4.123189449310303,
-          -3.8626294136047363,
-          -3.69762921333313,
-          3.6556200981140137,
-          -4.1212477684021,
-          -3.785296678543091,
-          -1.9285658597946167,
-          -3.4919838905334473,
-          5,
-          -1.8179099559783936,
-          -4.580845355987549,
-          -4.697874546051025,
-          -4.374136447906494,
-          2.7386975288391113,
-          3.034958839416504,
-          2.8929836750030518,
-          2.8669273853302,
-          -5,
-          -1.5589079856872559,
-          1.9696201086044312,
-          3.9466171264648438,
-          -3.894467353820801,
-          -1.4353413581848145,
-          0.6438999772071838,
-          -3.559412717819214,
-          2.898449182510376,
-          4.226627349853516,
-          -5,
-          -5,
-          -4.580845355987549,
-          -2.0328192710876465,
-          4.1754069328308105,
-          4.199225902557373,
-          4.34015417098999,
-          -2.9041290283203125,
-          2.497323513031006,
-          -1.7650561332702637,
-          -0.5644856095314026,
-          -5,
-          -5,
-          3.0372588634490967,
-          3.8829185962677,
-          3.6070923805236816,
-          3.8541207313537598,
-          3.8192059993743896,
-          -2.6382784843444824,
-          -4.700376033782959,
-          2.501884937286377,
-          4.065597057342529,
-          1.0171412229537964,
-          5,
-          -4.651655673980713,
-          -0.8031032681465149,
-          1.2622673511505127,
-          1.2936519384384155,
-          1.369748592376709,
-          4.189074516296387,
-          4.076688766479492,
-          5,
-          0.7270625233650208,
-          0.995764970779419,
-          -0.8975422382354736,
-          -1.5903971195220947,
-          3.329392194747925,
-          3.4523019790649414,
-          -1.0810967683792114,
-          -0.5812257528305054,
-          2.644548177719116,
-          2.6585214138031006,
-          5,
-          3.7732388973236084,
-          0.9950934052467346,
-          0.8841180801391602,
-          3.8183670043945312,
-          -0.6460126042366028,
-          2.1103804111480713,
-          2.3608930110931396,
-          1.3835891485214233,
-          3.4795989990234375,
-          1.769286036491394,
-          1.7716087102890015,
-          -5,
-          -5,
-          -5,
-          -1.426405906677246,
-          -2.7312746047973633,
-          -5,
-          0.47139957547187805,
-          3.8471028804779053,
-          0.7896639108657837,
-          -1.2268297672271729,
-          -4.720064640045166,
-          2.7558088302612305,
-          3.023494243621826,
-          3.7829294204711914,
-          -1.891106128692627,
-          3.048088550567627,
-          0.008336871862411499,
-          0.07599930465221405,
-          -1.3721232414245605,
-          -1.032981276512146,
-          -0.6021665930747986,
-          1.735460877418518,
-          1.5383501052856445,
-          2.478435516357422,
-          -3.304556131362915,
-          -2.378432035446167,
-          -0.4857358932495117,
-          -2.097623586654663,
-          -3.2147445678710938,
-          -1.8128300905227661,
-          3.589271306991577,
-          3.373690366744995,
-          -3.5193681716918945,
-          3.53788161277771,
-          -1.1633410453796387,
-          -3.841488838195801,
-          -3.562544822692871,
-          -5,
-          -4.628747463226318,
-          -0.3776344060897827,
-          -1.9576623439788818,
-          -2.3299407958984375,
-          -2.3134829998016357,
-          0.5879091620445251,
-          0.39716675877571106,
-          5,
-          -4.527527809143066,
-          2.8390586376190186,
-          0.3319953382015228,
-          -0.2031165361404419,
-          5,
-          5,
-          5,
-          -5,
-          2.2759742736816406,
-          4.30157470703125,
-          -0.7995855808258057,
-          -0.05464247241616249,
-          -1.3260889053344727,
-          -1.0919172763824463,
-          -1.5666868686676025,
-          0.6270329356193542,
-          2.468057155609131,
-          -2.5841712951660156,
-          -4.339723110198975,
-          5,
-          5,
-          0.5067524909973145,
-          0.7723978161811829,
-          3.510948657989502,
-          4.363494873046875,
-          -3.0252578258514404,
-          -1.2719022035598755,
-          4.58084774017334,
-          5,
-          4.526966571807861,
-          -5,
-          -5,
-          -5,
-          5,
-          4.227243900299072,
-          4.085610389709473,
-          -4.363025188446045,
-          -1.356877088546753,
-          -1.0370725393295288,
-          1.1098798513412476,
-          -1.7669402360916138,
-          3.0309200286865234,
-          1.8378273248672485,
-          -1.0789508819580078,
-          1.8391550779342651,
-          0.4916764497756958,
-          -3.601686716079712,
-          -0.24966329336166382,
-          4.12544059753418,
-          -5,
-          -5,
-          1.536503791809082,
-          1.7359037399291992,
-          5,
-          -3.840538263320923,
-          -5,
-          -5,
-          -5,
-          4.124938011169434,
-          -4.646697998046875,
-          -5,
-          4.167131423950195,
-          -3.3831329345703125,
-          -3.5020036697387695,
-          3.266669988632202,
-          -0.9436191916465759,
-          -1.5299025774002075,
-          -1.982384204864502,
-          3.6774818897247314,
-          -2.2120511531829834,
-          -0.3448413610458374,
-          -3.386986017227173,
-          -3.1074790954589844,
-          -0.4411892294883728,
-          -0.3736647963523865,
-          -5,
-          -5,
-          -1.2011436223983765,
-          -1.1121392250061035,
-          -2.1613833904266357,
-          -2.2924811840057373,
-          3.104656934738159,
-          2.610442638397217,
-          5,
-          -5,
-          -2.3681676387786865,
-          3.672323226928711,
-          3.7326676845550537,
-          0.1613098382949829,
-          0.2413194328546524,
-          1.3728821277618408,
-          0.4339759051799774,
-          0.35695144534111023,
-          -2.493479013442993,
-          2.1896910667419434,
-          4.700502395629883,
-          5,
-          -1.016597032546997,
-          0.6210448145866394,
-          0.6637445688247681,
-          5,
-          -1.0216628313064575,
-          -0.23358485102653503,
-          3.3018922805786133,
-          1.8105369806289673,
-          0.955568790435791,
-          -3.7231528759002686,
-          -3.9804978370666504,
-          -1.2900493144989014,
-          4.1124267578125,
-          -3.540820360183716,
-          -5,
-          -3.8975656032562256,
-          1.2156816720962524,
-          0.7590240836143494,
-          3.5594608783721924,
-          -3.283069372177124,
-          -5,
-          -3.2769768238067627,
-          0.1670776754617691,
-          -0.7176233530044556,
-          0.9799598455429077,
-          1.3872452974319458,
-          -2.0572428703308105,
-          -3.3091535568237305,
-          -1.3487980365753174,
-          -4.625357627868652,
-          -2.012728691101074,
-          -5,
-          0.8194661736488342,
-          -1.579920768737793,
-          -1.5731505155563354,
-          -4.639402389526367,
-          -1.7494895458221436,
-          -3.0217342376708984,
-          -1.5556175708770752,
-          2.022423028945923,
-          -2.8629543781280518,
-          1.2468470335006714,
-          1.9912384748458862,
-          -1.0789836645126343,
-          -0.08867280930280685,
-          -1.3601857423782349,
-          0.519882321357727,
-          2.222944498062134,
-          0.5680000185966492,
-          2.373995542526245,
-          -2.9980807304382324,
-          3.2855708599090576
-         ],
-         "y": [
-          -0.9644528031349182,
-          -0.5014916062355042,
-          -0.9228641390800476,
-          -0.9955595135688782,
-          0.2492223083972931,
-          0.057115908712148666,
-          -0.16631139814853668,
-          -0.06584170460700989,
-          0.10396039485931396,
-          -0.31133314967155457,
-          -0.041115161031484604,
-          -0.04820563644170761,
-          -0.949433445930481,
-          -0.8801339268684387,
-          -0.5981799364089966,
-          -0.9736314415931702,
-          -0.43101099133491516,
-          -0.4243756830692291,
-          -0.4731490910053253,
-          -0.6577183604240417,
-          0.2146396040916443,
-          0.5974391102790833,
-          0.2125028818845749,
-          0.43337777256965637,
-          0.4884589910507202,
-          0.6967326402664185,
-          0.6029126048088074,
-          0.23680882155895233,
-          0.6917465329170227,
-          0.4850515127182007,
-          0.18376414477825165,
-          0.48162636160850525,
-          -0.6320042610168457,
-          -0.7730603814125061,
-          -0.9154437184333801,
-          -0.9334678649902344,
-          -0.937618613243103,
-          -0.6324880123138428,
-          -0.9645949602127075,
-          -0.8584909439086914,
-          -0.021662965416908264,
-          -0.19917190074920654,
-          -0.40617337822914124,
-          0.01375947892665863,
-          0.6443992257118225,
-          0.2646108865737915,
-          0.3110242187976837,
-          0.4987179636955261,
-          0.2822154462337494,
-          0.22283178567886353,
-          0.3027957081794739,
-          0.48568424582481384,
-          -0.004136862698942423,
-          0.24444110691547394,
-          0.3975219428539276,
-          0.06679671257734299,
-          0.3392251133918762,
-          0.4178438186645508,
-          0.0005444167763926089,
-          0.26371410489082336,
-          0.6860716342926025,
-          0.5389652252197266,
-          0.2810700237751007,
-          0.29595068097114563,
-          -0.0028515858575701714,
-          -0.914943516254425,
-          -0.8317362070083618,
-          -0.5160342454910278,
-          0.1723458170890808,
-          -0.24010129272937775,
-          0.11037452518939972,
-          -0.04924260079860687,
-          0.9950059056282043,
-          0.5880264043807983,
-          0.590488612651825,
-          0.6281570792198181,
-          -0.1020033061504364,
-          0.12514355778694153,
-          0.26880502700805664,
-          -0.06841706484556198,
-          0.07446050643920898,
-          -0.19104579091072083,
-          0.17392556369304657,
-          -0.010952293872833252,
-          0.8551027774810791,
-          0.8424614071846008,
-          0.4966377019882202,
-          0.9818977117538452,
-          -0.7847625613212585,
-          -0.3964613676071167,
-          -0.7274291515350342,
-          0.9931104183197021,
-          0.990178644657135,
-          0.9477092027664185,
-          -0.7309668660163879,
-          -0.8255475759506226,
-          -0.5082603693008423,
-          -0.8930004835128784,
-          0.4194926917552948,
-          0.20234280824661255,
-          0.382354199886322,
-          0.04821555316448212,
-          -0.22185000777244568,
-          -0.2684493958950043,
-          -0.2542339563369751,
-          -0.6113150715827942,
-          -0.749304473400116,
-          0.9967495203018188,
-          0.6226924657821655,
-          0.9509856700897217,
-          0.9614278674125671,
-          -0.5285993218421936,
-          -0.26093634963035583,
-          -0.44633013010025024,
-          -0.7162333726882935,
-          0.37243372201919556,
-          0.7037805914878845,
-          0.5981281399726868,
-          0.8595001101493835,
-          -0.2422453761100769,
-          -0.2717275023460388,
-          -0.342314749956131,
-          -0.36787569522857666,
-          -0.0067490083165466785,
-          -0.12062981724739075,
-          -0.10932574421167374,
-          0.7730425596237183,
-          0.7197641730308533,
-          0.5498804450035095,
-          0.8838788866996765,
-          -0.4682152271270752,
-          -0.8429638743400574,
-          -0.7152993083000183,
-          0.16587448120117188,
-          0.17635276913642883,
-          0.4282841980457306,
-          -0.06333015114068985,
-          0.0034832851961255074,
-          0.09057462960481644,
-          -0.7059872150421143,
-          -0.3774401545524597,
-          -0.6989597082138062,
-          -0.5003755688667297,
-          0.7566817402839661,
-          0.44234010577201843,
-          0.45263102650642395,
-          0.5166338682174683,
-          0.16024252772331238,
-          0.5950716137886047,
-          -0.18073487281799316,
-          0.0018878098344430327,
-          -0.2708609104156494,
-          -0.25196877121925354,
-          -0.11142797023057938,
-          -0.43370550870895386,
-          -0.15656259655952454,
-          -0.039399806410074234,
-          0.46687936782836914,
-          0.32242169976234436,
-          0.6205798983573914,
-          0.6568413972854614,
-          0.2932124137878418,
-          0.286562442779541,
-          0.5216072797775269,
-          -0.9623097777366638,
-          -0.9981469511985779,
-          -0.6364484429359436,
-          -0.9993236660957336,
-          -0.07432012259960175,
-          0.42001017928123474,
-          0.34383609890937805,
-          -0.08206897974014282,
-          0.17495545744895935,
-          -0.6187282204627991,
-          -0.17506438493728638,
-          -0.16744637489318848,
-          -0.3097870349884033,
-          -0.4293544590473175,
-          -0.34442025423049927,
-          -0.08278083801269531,
-          0.040901072323322296,
-          -0.20948979258537292,
-          -0.8171733617782593,
-          -0.6349214315414429,
-          -0.63686603307724,
-          -0.34542766213417053,
-          0.9818851351737976,
-          0.7231388688087463,
-          -0.4980590343475342,
-          -0.5276463031768799,
-          -0.6645891070365906,
-          0.6138550639152527,
-          0.7307949662208557,
-          0.565581202507019,
-          0.8974766731262207,
-          0.2210589051246643,
-          -0.04366305470466614,
-          0.2200208306312561,
-          0.9976720213890076,
-          0.9910743236541748,
-          0.04993176832795143,
-          0.2965986132621765,
-          0.3659362196922302,
-          -0.6525683999061584,
-          -0.4112653136253357,
-          -0.9211462140083313,
-          -0.8424838185310364,
-          -0.9637735486030579,
-          -0.9835269451141357,
-          -0.9970294237136841,
-          -0.9710226655006409,
-          -0.9704429507255554,
-          -0.000344896805472672,
-          0.21921929717063904,
-          -0.13210053741931915,
-          0.1057116687297821,
-          -0.5773980617523193,
-          -0.8491992354393005,
-          -0.9644528031349182,
-          -0.9644528031349182,
-          0.18421055376529694,
-          -0.34306600689888,
-          -0.6099089980125427,
-          -0.522908627986908,
-          0.5520397424697876,
-          0.6777611374855042,
-          0.7900189757347107,
-          0.8836524486541748,
-          0.998988151550293,
-          0.6972864270210266,
-          0.9325829744338989,
-          -0.7420949339866638,
-          -0.8717162013053894,
-          0.3239639103412628,
-          0.3646659553050995,
-          0.18762114644050598,
-          0.4323038160800934,
-          0.49042609333992004,
-          0.4172574579715729,
-          -0.4056946337223053,
-          -0.7565715909004211,
-          -0.8770694732666016,
-          -0.6713137626647949,
-          0.3914759159088135,
-          0.5560338497161865,
-          0.401335746049881,
-          0.6967827081680298,
-          0.5735718011856079,
-          0.9659417867660522,
-          0.4600377678871155,
-          -0.7376769781112671,
-          -0.7612969279289246,
-          -0.8649499416351318,
-          -0.9680713415145874,
-          -0.07136695086956024,
-          0.08702337741851807,
-          -0.0012019457062706351,
-          -0.40912172198295593,
-          -0.006982382852584124,
-          -0.2469279021024704,
-          0.2634161114692688,
-          0.19823867082595825,
-          0.6264614462852478,
-          -0.0895332545042038,
-          0.15487948060035706,
-          0.010749834589660168,
-          0.21317049860954285,
-          0.3579390347003937,
-          0.6785242557525635,
-          0.4390743672847748,
-          0.2672802209854126,
-          -0.8758218884468079,
-          -0.963442862033844,
-          -0.9812936782836914,
-          0.47073882818222046,
-          0.4233376085758209,
-          0.6527111530303955,
-          0.6982703804969788,
-          0.6721965670585632,
-          0.9104544520378113,
-          0.8594658970832825,
-          0.9712696671485901,
-          0.7178391218185425,
-          0.9804772734642029,
-          0.9899379014968872,
-          -0.272844135761261,
-          -0.23376643657684326,
-          -0.262163907289505,
-          0.03704443946480751,
-          -0.4075758457183838,
-          -0.7010478377342224,
-          -0.20673303306102753,
-          -0.5571584105491638,
-          -0.8706849217414856,
-          -0.48726165294647217,
-          -0.2910931706428528,
-          -0.002765015931800008,
-          0.05970108136534691,
-          0.3084672689437866,
-          0.15337669849395752,
-          -0.6174674034118652,
-          -0.6328142881393433,
-          -0.5624826550483704,
-          0.1400715708732605,
-          0.3191937208175659,
-          0.02131892368197441,
-          -0.09887219220399857,
-          -0.13459566235542297,
-          0.031372569501399994,
-          -0.23347316682338715,
-          -0.1083475649356842,
-          0.10015857964754105,
-          -0.15261906385421753,
-          -0.3190996050834656,
-          0.5962103009223938,
-          0.944227933883667,
-          0.6263585686683655,
-          -0.03721585124731064,
-          -0.14064188301563263,
-          -0.12287423759698868,
-          0.1620333045721054,
-          0.051118478178977966,
-          0.025942236185073853,
-          0.9509856700897217,
-          0.07660112529993057,
-          -0.2148650735616684,
-          -0.2792571783065796,
-          -0.3916383981704712,
-          -0.5475131869316101,
-          -0.3573049306869507,
-          -0.5381907820701599,
-          0.5642790794372559,
-          0.39763057231903076,
-          0.4926196038722992,
-          0.6876794695854187,
-          0.9853602051734924,
-          0.9853602051734924,
-          0.2784459888935089,
-          0.33439427614212036,
-          0.3757942020893097,
-          0.5680580735206604,
-          -0.202531099319458,
-          0.04602264240384102,
-          0.1253708153963089,
-          -0.053822703659534454,
-          -0.09523261338472366,
-          -0.3647562861442566,
-          0.055967457592487335,
-          -0.18043585121631622,
-          -0.36183372139930725,
-          -0.26616132259368896,
-          0.5843426585197449,
-          0.7874525785446167,
-          0.3204408586025238,
-          0.46942922472953796,
-          -0.3549381494522095,
-          -0.15470989048480988,
-          -0.28662583231925964,
-          -0.45677778124809265,
-          -0.14482297003269196,
-          -0.3699699342250824,
-          -0.31996339559555054,
-          0,
-          0.03902474418282509,
-          -0.4207833707332611,
-          0.5997176170349121,
-          0.34521904587745667,
-          0.260562002658844,
-          0.301216721534729,
-          -0.39678168296813965,
-          -0.9933051466941833,
-          -0.48806899785995483,
-          -0.9801273941993713,
-          -0.9932265877723694,
-          -0.00268577691167593,
-          -0.4860992431640625,
-          -0.718903660774231,
-          -0.22610677778720856,
-          0.40737977623939514,
-          0.7242735624313354,
-          0.9194390773773193,
-          0.992190957069397,
-          0.5167772769927979,
-          -0.8444285988807678,
-          -0.6822850704193115,
-          0.6697694063186646,
-          0.9455884695053101,
-          -0.563209056854248,
-          -0.6827536821365356,
-          -0.6466551423072815,
-          -1,
-          0.00808846578001976,
-          -0.21341004967689514,
-          -0.08499597012996674,
-          -0.22998903691768646,
-          -0.6067743301391602,
-          -0.49108201265335083,
-          -0.5265984535217285,
-          -0.9826362729072571,
-          -0.23542766273021698,
-          -0.2631172835826874,
-          -0.38973894715309143,
-          -0.510794460773468,
-          0.614811897277832,
-          0.9284683465957642,
-          0.980880856513977,
-          0.6759928464889526,
-          0.7887943387031555,
-          0.334210067987442,
-          0.8685921430587769,
-          0.9433988928794861,
-          0.3017013370990753,
-          0.322925865650177,
-          0.0030513221863657236,
-          -0.08400421589612961,
-          0.1492752730846405,
-          0.15100379288196564,
-          0.2531687021255493,
-          0.22673995792865753,
-          0.08318476378917694,
-          -0.09412675350904465,
-          -0.10312476009130478,
-          0.00051957240793854,
-          0.1938382387161255,
-          -0.429431289434433,
-          -0.6668448448181152,
-          0.27889484167099,
-          -0.9699349999427795,
-          -0.6830593347549438,
-          -0.9178845286369324,
-          -0.8040575385093689,
-          -0.03522491827607155,
-          0.586391270160675,
-          0.9315357804298401,
-          0.7273709177970886,
-          0.23738005757331848,
-          0.16160446405410767,
-          0.196137934923172,
-          0.6648127436637878,
-          0.9904631972312927,
-          0.9321214556694031,
-          -0.9826473593711853,
-          -0.5793296098709106,
-          -0.5139965415000916,
-          -0.9829296469688416,
-          0.10490112006664276,
-          0.26333707571029663,
-          0.015549364499747753,
-          0.7950919270515442,
-          -0.22844749689102173,
-          0.08410408347845078,
-          -0.014554033055901527,
-          -0.40973183512687683,
-          -0.6088537573814392,
-          -0.7200993895530701,
-          -0.25975117087364197,
-          -0.05376914516091347,
-          0.25696367025375366,
-          -0.02727169543504715,
-          -0.9200538992881775,
-          -0.9851748943328857,
-          0.2039009928703308,
-          -0.18674251437187195,
-          -0.0373150035738945,
-          0.0003531149122864008,
-          0.7743528485298157,
-          0.49138516187667847,
-          0.8453116416931152,
-          0.8113861680030823,
-          -0.2243531048297882,
-          0.17102263867855072,
-          0.13133029639720917,
-          -0.8719936609268188,
-          -0.7000458240509033,
-          -0.5028141736984253,
-          0.5621294975280762,
-          -0.48999398946762085,
-          1,
-          0.9576523303985596,
-          -0.41538330912590027,
-          -0.5296134352684021,
-          -0.5272583365440369,
-          0.26668936014175415,
-          0.9760602116584778,
-          0.874788224697113,
-          -0.8827227354049683,
-          -0.9637153744697571,
-          -0.5040878057479858,
-          -0.27172648906707764,
-          0.274967223405838,
-          -0.01066218875348568,
-          0.29421308636665344,
-          0.1539771407842636,
-          0.15297439694404602,
-          0.35023635625839233,
-          -0.21796944737434387,
-          0.8537461161613464,
-          0.9835426211357117,
-          0.9496530294418335,
-          0.9985606074333191,
-          -0.2221001833677292,
-          0.4310095012187958,
-          0.6029019355773926,
-          0.7001603841781616,
-          0.8360967636108398,
-          0.519031286239624,
-          -0.9936496019363403,
-          -0.9828091859817505,
-          0.26668936014175415,
-          0.5236851572990417,
-          0.49962037801742554,
-          0.5692272782325745,
-          0.22008033096790314,
-          0.2918113172054291,
-          -0.005608721170574427,
-          0.03870052844285965,
-          0.26892536878585815,
-          -0.1814487725496292,
-          0.06543553620576859,
-          0.08210965245962143,
-          -0.09493392705917358,
-          0.23452402651309967,
-          0.04021294042468071,
-          -0.09652941673994064,
-          0.6716895699501038,
-          0.8282829523086548,
-          -0.5790790915489197,
-          -0.7159784436225891,
-          -0.874889612197876,
-          -0.9411375522613525,
-          -0.25209754705429077,
-          -0.6056337356567383,
-          -0.4996890425682068,
-          0.268974632024765,
-          0.4170511066913605,
-          0.2456361949443817,
-          0.17661170661449432,
-          -0.6461558938026428,
-          -0.8366621732711792,
-          -0.9373155832290649,
-          0.6573933362960815,
-          0.764940083026886,
-          0.4581672251224518,
-          0.012059792876243591,
-          -0.36481741070747375,
-          0.047285694628953934,
-          -0.19150404632091522,
-          -0.06492480635643005,
-          0.2849947214126587,
-          0.49767422676086426,
-          0.28277072310447693,
-          0.54390949010849,
-          0.1638433039188385,
-          -0.31062552332878113,
-          -0.08801092207431793,
-          -0.47230759263038635,
-          -0.2938145399093628,
-          -0.0704847201704979,
-          0.6260424852371216,
-          0.39466437697410583,
-          0.31425905227661133,
-          0.7220942974090576,
-          -0.7903173565864563,
-          0.2835279703140259,
-          0.6021785140037537,
-          0.5951641798019409,
-          0.3522506654262543,
-          0.5202761888504028,
-          0.6336329579353333,
-          0.44877156615257263,
-          0.5989428758621216,
-          0.9741127490997314,
-          0.9952908158302307,
-          0.6856418251991272,
-          -0.18962796032428741,
-          0.14198823273181915,
-          0.027870045974850655,
-          -0.2665543556213379,
-          -0.12062981724739075,
-          -0.35000452399253845,
-          -0.6031556725502014,
-          -0.7968862652778625,
-          -0.9509775042533875,
-          0.2576938569545746,
-          -0.17726917564868927,
-          0.9844260215759277,
-          -0.4435259699821472,
-          -0.1699523627758026,
-          0.6966899037361145,
-          0.9935153722763062,
-          0.994518518447876,
-          0.9067777991294861,
-          -0.9979760646820068,
-          -0.9827584624290466,
-          -0.01198972761631012,
-          0.004887382499873638,
-          0.9262871146202087,
-          -0.011220625601708889,
-          0.20926238596439362,
-          0.08175507932901382,
-          0.13949643075466156,
-          0.24324852228164673,
-          0.2432398945093155,
-          -0.03161051869392395,
-          0.41032442450523376,
-          0.5218767523765564,
-          -0.1977277398109436,
-          0.07446050643920898,
-          -0.20594902336597443,
-          -0.3251917064189911,
-          -0.6149249076843262,
-          0.4732542634010315,
-          0.07446050643920898,
-          0.3481038212776184,
-          0.22188933193683624,
-          0.2149362415075302,
-          -0.24006293714046478,
-          -0.2876802384853363,
-          0.41702282428741455,
-          0.19047819077968597,
-          -0.2501949965953827,
-          -0.15160758793354034,
-          0.43379339575767517,
-          0.0909355953335762,
-          0.451621413230896,
-          0.5065004825592041,
-          -0.9908729195594788,
-          -0.08206022530794144,
-          -0.027877792716026306,
-          0.5542229413986206,
-          -0.38842886686325073,
-          0.9741654992103577,
-          -0.3724351227283478,
-          -0.1986246407032013,
-          -0.3232215344905853,
-          0.7665350437164307,
-          0.5796975493431091,
-          -0.6754114627838135,
-          -0.8743530511856079,
-          -0.8580234050750732,
-          0.7657902240753174,
-          0.6770547032356262,
-          0.5566800236701965,
-          0.935212254524231,
-          -0.584112286567688,
-          0.017612561583518982,
-          -0.36803585290908813,
-          -0.5247402191162109,
-          0.4970661997795105,
-          -0.6998907327651978,
-          -0.5846438407897949,
-          0.9509856700897217,
-          0.8254937529563904,
-          0.6614059805870056,
-          0.5184406042098999,
-          -0.5043556690216064,
-          -0.8817981481552124,
-          -0.6980621218681335,
-          -0.3875381350517273,
-          -0.9762217998504639,
-          -0.9982428550720215,
-          0.2067089080810547,
-          0.11346746981143951,
-          0.01595616154372692,
-          -0.2828061878681183,
-          0.014170551672577858,
-          0.6205798983573914,
-          -0.8973569869995117,
-          -0.7388009428977966,
-          -0.5494065880775452,
-          -0.8166348338127136,
-          0.5313565731048584,
-          -0.004518178757280111,
-          0.48383238911628723,
-          -0.4977671205997467,
-          -0.11393170058727264,
-          -0.1845625638961792,
-          -0.3601009249687195,
-          -0.314405232667923,
-          0.48286524415016174,
-          0.20714795589447021,
-          0.040663253515958786,
-          -0.9531037211418152,
-          -0.26953038573265076,
-          -0.4040994942188263,
-          -0.26528051495552063,
-          0.23274151980876923,
-          -0.6318374872207642,
-          -0.9665676951408386,
-          0.005913611501455307,
-          0.49386274814605713,
-          0.23279796540737152,
-          0.24144552648067474,
-          0.3414899408817291,
-          0.30328240990638733,
-          -0.9941494464874268,
-          -0.3179697096347809,
-          -0.25289952754974365,
-          -0.4826950430870056,
-          -0.992070198059082,
-          -0.9115789532661438,
-          -0.5940829515457153,
-          -0.5463100671768188,
-          -0.9485341310501099,
-          -0.6519872546195984,
-          -0.9987034797668457,
-          -0.5913269519805908,
-          -0.7342608571052551,
-          1,
-          0.45685240626335144,
-          -0.0836566612124443,
-          -0.5427722334861755,
-          -0.2221001833677292,
-          -0.9979760646820068,
-          -0.7426897883415222,
-          0.4536954462528229,
-          -0.5354653596878052,
-          -0.5605345368385315,
-          -0.24477224051952362,
-          -0.31265220046043396,
-          -0.8582495450973511,
-          -0.2184845358133316,
-          -0.8255475759506226,
-          -0.8973569869995117,
-          -0.9509775042533875,
-          0.7109987735748291,
-          -0.3486618995666504,
-          -0.5666218400001526,
-          0.0820944681763649,
-          0.28015971183776855,
-          -0.9690587520599365,
-          -0.6733459830284119,
-          -0.929873526096344,
-          0.05627104640007019,
-          -0.5349896550178528,
-          -0.49556639790534973,
-          -0.2316868156194687,
-          -0.2666398584842682,
-          -0.5846438407897949,
-          0.9041470885276794,
-          0.34881946444511414,
-          0.73880535364151,
-          -0.4977671205997467,
-          -0.620514452457428,
-          0.3705782890319824,
-          -0.3981460928916931,
-          -0.7447241544723511,
-          -0.5671089291572571,
-          -0.7126420140266418,
-          0.3201524019241333,
-          -0.9361801147460938,
-          -0.021949056535959244,
-          0.26071488857269287,
-          0.11704500019550323,
-          -0.09812191873788834,
-          -0.6564890742301941,
-          0.5860076546669006,
-          0.23305492103099823,
-          0.1070864275097847,
-          0.02329915389418602,
-          -0.2407625913619995,
-          0.3414646089076996,
-          0.6114945411682129,
-          0.0007608749438077211,
-          -0.18877489864826202,
-          -0.06473154574632645,
-          -0.5393319725990295,
-          -0.37636464834213257,
-          -0.2776724100112915,
-          0.407381534576416,
-          0.5711175799369812,
-          0.10242214798927307,
-          -0.5774988532066345,
-          0.5009621977806091,
-          0.7229906320571899,
-          0.5307389497756958,
-          0.8771102428436279,
-          -0.6564419269561768,
-          -0.41044551134109497,
-          -0.6564419269561768,
-          -0.7309668660163879,
-          -0.9828091859817505,
-          -0.9828091859817505,
-          -0.31996339559555054,
-          0.02778959460556507,
-          -0.18145851790905,
-          -0.4760945737361908,
-          -0.6159340143203735,
-          -0.5961918830871582,
-          -0.6848282217979431,
-          -0.251895934343338,
-          0.29486724734306335,
-          0.40002304315567017,
-          0.9899379014968872,
-          0.7229412794113159,
-          0.9807852506637573,
-          -0.7337335348129272,
-          -0.8108888864517212,
-          -0.5162743926048279,
-          -0.6094732284545898,
-          -0.9194790720939636,
-          0.5308945178985596,
-          0.01500244252383709,
-          -0.7993972897529602,
-          0.9984241127967834,
-          -0.012843931093811989,
-          -0.8668404221534729,
-          0.990543007850647,
-          0.0920555591583252,
-          -0.31916898488998413,
-          0.9374285340309143,
-          0.7959373593330383,
-          0.8754876255989075,
-          -0.8362293243408203,
-          -0.6582773923873901,
-          -0.9916395545005798,
-          -0.8973569869995117,
-          0.061656251549720764,
-          0.5361354351043701,
-          0.36971715092658997,
-          -0.4583832919597626,
-          -0.46862149238586426,
-          -0.9807852506637573,
-          -0.9511585831642151,
-          -0.27999889850616455,
-          0.038460005074739456,
-          0.1938815712928772,
-          0.19310392439365387,
-          0.5270761847496033,
-          0.5389652252197266,
-          -0.5263717770576477,
-          0.31121960282325745,
-          0.13053779304027557,
-          0.2712872624397278,
-          0.9807852506637573,
-          -0.97075355052948,
-          0.9580817818641663,
-          0.7310782670974731,
-          0.5388161540031433,
-          0.9519411325454712,
-          0.8434329628944397,
-          -0.4833066761493683,
-          -0.20707954466342926,
-          -0.5099445581436157,
-          -0.6608012318611145,
-          -0.018839603289961815,
-          -0.7309668660163879,
-          -0.5254232883453369,
-          0.3551715314388275,
-          -0.21630725264549255,
-          -0.39276570081710815,
-          -0.07621423900127411,
-          0.02646898478269577,
-          0.3646659553050995,
-          0.8563774824142456,
-          0.5865227580070496,
-          0.46233615279197693,
-          0.8343841433525085,
-          -0.8973569869995117,
-          -0.5947028398513794,
-          -0.8064454793930054,
-          0.570570170879364,
-          0.5161767601966858,
-          0.48175233602523804,
-          0.4885003864765167,
-          -0.38643592596054077,
-          -0.4773034155368805,
-          -0.38785600662231445,
-          0.8576608896255493,
-          -0.9899351596832275,
-          0.9875081777572632,
-          -0.1636705994606018,
-          -0.9172571897506714,
-          -0.16427050530910492,
-          -0.4349454939365387,
-          -0.9953550100326538,
-          -0.9971668124198914,
-          0.6962160468101501,
-          0.5453452467918396,
-          -0.05568347126245499,
-          -0.6601232290267944,
-          -0.842789351940155,
-          -0.2496166080236435,
-          -0.8420789837837219,
-          -0.8744059801101685,
-          -0.834104597568512,
-          -0.9026780724525452,
-          0.9523860216140747,
-          0.9934259653091431,
-          -0.7173683643341064,
-          -0.9974165558815002,
-          0.3086850345134735,
-          -0.8398857116699219,
-          -0.2520681619644165,
-          -0.2881055772304535,
-          -0.17640793323516846,
-          -0.8340798020362854,
-          0.803859293460846,
-          -0.5375675559043884,
-          -0.35286054015159607,
-          -0.40147092938423157,
-          -0.5391048192977905,
-          -0.4075758457183838,
-          -0.06929513067007065,
-          0.4999752938747406,
-          0.5083998441696167,
-          0.7683452367782593,
-          0.44873738288879395,
-          0.1870150864124298,
-          0.44929590821266174,
-          0.7604588270187378,
-          -0.253332257270813,
-          0.7990961074829102,
-          -0.4588089883327484,
-          -0.36481741070747375,
-          -0.2928994297981262,
-          -0.620514452457428,
-          -0.8754743337631226,
-          -0.6474624276161194,
-          -0.7147241830825806,
-          -0.8206048011779785,
-          0.8667620420455933,
-          0.8917268514633179,
-          0.9518074989318848,
-          -0.5455569624900818,
-          0.06518997251987457,
-          -0.1746850311756134,
-          0.711083710193634,
-          -0.7957763075828552,
-          -0.23037903010845184,
-          0.4979412853717804,
-          -0.9531556367874146,
-          -0.9841888546943665,
-          0.04183444380760193,
-          0.8254937529563904,
-          0.9814017415046692,
-          -0.5506122708320618,
-          0.9509856700897217,
-          0.8974766731262207,
-          0.8271036744117737,
-          0.6565945744514465,
-          0.5882179737091064,
-          0.4074084758758545,
-          0.1779918372631073,
-          0.8254937529563904,
-          0.3646659553050995,
-          0.6998251676559448,
-          -0.25461456179618835,
-          -0.16163697838783264,
-          0.5031144618988037,
-          0.056570108979940414,
-          0.4599801003932953,
-          0.22676178812980652,
-          -0.27921000123023987,
-          -0.5993555784225464,
-          0.9872598648071289,
-          -0.1492013782262802,
-          -0.11010982096195221,
-          0.08578278124332428,
-          -0.176510289311409,
-          0.12077020108699799,
-          -0.08411595970392227,
-          0.9915391802787781,
-          0.7307949662208557,
-          0.8754876255989075,
-          -0.2441762387752533,
-          -0.14552778005599976,
-          -0.2168065309524536,
-          -0.4977671205997467,
-          0.6998251676559448,
-          0.5844343304634094,
-          -0.4977671205997467,
-          -0.5964337587356567,
-          0.16315852105617523,
-          0.7636315226554871,
-          0.265627384185791,
-          0.9430791139602661,
-          0.6161730289459229,
-          0.9977315664291382,
-          0.9039280414581299,
-          -0.06703191250562668,
-          0.4994438886642456,
-          0.4858933091163635,
-          0.9834839701652527,
-          0.880670964717865,
-          0.8490715026855469,
-          0.9645264744758606,
-          -0.9836878776550293,
-          0.020235415548086166,
-          0.6966110467910767,
-          0.9339800477027893,
-          0.5601944327354431,
-          -0.00601609330624342,
-          0.22188933193683624,
-          0.06982731819152832,
-          0.42058631777763367,
-          -0.20701900124549866,
-          -0.5002540349960327,
-          -0.9948720335960388,
-          -0.6225435733795166,
-          0.29936158657073975,
-          -0.9993430376052856,
-          -0.8705465197563171,
-          0.9978688955307007,
-          0.9816693663597107,
-          -0.2221001833677292,
-          -0.07432012259960175,
-          0.005510379560291767,
-          0.93561190366745,
-          0.769040584564209,
-          0.4979412853717804,
-          0.09552592039108276,
-          -0.4952143132686615,
-          0.8628236055374146,
-          0.891992449760437,
-          0.3251786231994629,
-          -0.9622695446014404,
-          -0.9051315188407898,
-          0.6972473859786987,
-          -0.9227719902992249,
-          -0.9991018772125244,
-          0.9954250454902649,
-          -0.2867448031902313,
-          0.40268635749816895,
-          0.14126500487327576,
-          0.9529435634613037,
-          0.6507450938224792,
-          0.27342158555984497,
-          -0.9639715552330017,
-          -0.971455454826355,
-          0.9434934258460999,
-          0.7417119145393372,
-          0.922407329082489,
-          0.7960216403007507,
-          0.39301806688308716,
-          0.44151046872138977,
-          0.9164034128189087,
-          -0.45337846875190735,
-          -0.7604051232337952,
-          -0.9881238341331482,
-          0.3329641819000244,
-          0.5564926266670227,
-          -0.7899213433265686,
-          0.7021987438201904,
-          -0.9409090876579285,
-          0.8222968578338623,
-          -0.1262354850769043,
-          0.9899379014968872,
-          0.8101232051849365,
-          0.4139884412288666,
-          0.4850161373615265,
-          0.8455127477645874,
-          -0.7117887139320374,
-          -0.9599732160568237,
-          0.32545220851898193,
-          -0.017274606972932816,
-          0.0917535200715065,
-          0.9274268746376038,
-          0.7069732546806335
-         ],
-         "z": [
-          0.24893133342266083,
-          0.06961314380168915,
-          0.38458311557769775,
-          0.045085154473781586,
-          -0.2524856626987457,
-          -0.6164182424545288,
-          -0.4557993710041046,
-          -0.09390309453010559,
-          -0.6660021543502808,
-          -0.5890951156616211,
-          -0.9959505200386047,
-          -0.6060599088668823,
-          -0.298443466424942,
-          -0.4645257592201233,
-          -0.23048292100429535,
-          -0.21867342293262482,
-          -0.31317806243896484,
-          0.07732536643743515,
-          -0.3414348065853119,
-          -0.05248579755425453,
-          -0.10382933914661407,
-          -0.019813725724816322,
-          0.2175561636686325,
-          0.13014905154705048,
-          0.40530869364738464,
-          0.7156205773353577,
-          0.7926167249679565,
-          0.4570474326610565,
-          -0.13187628984451294,
-          0.12653519213199615,
-          -0.22819986939430237,
-          -0.3281902074813843,
-          0.28013405203819275,
-          0.6267420649528503,
-          0.39846572279930115,
-          0.3510749340057373,
-          -0.33739176392555237,
-          -0.18817365169525146,
-          -0.24846261739730835,
-          -0.5050169229507446,
-          -0.5259588956832886,
-          -0.26771974563598633,
-          -0.446445107460022,
-          -0.248659148812294,
-          0.24804984033107758,
-          0.18279309570789337,
-          0.03786000609397888,
-          -0.07831154018640518,
-          -0.20537401735782623,
-          0.22865191102027893,
-          0.03590712696313858,
-          0.0510106198489666,
-          -0.5112490653991699,
-          -0.4819660484790802,
-          -0.5647855401039124,
-          -0.9934210777282715,
-          -0.9370624423027039,
-          -0.3811916410923004,
-          -0.5316653251647949,
-          -0.5263366103172302,
-          -0.7243698835372925,
-          -0.8403451442718506,
-          -0.5899010300636292,
-          -0.9501896500587463,
-          -0.9997191429138184,
-          0.3994015157222748,
-          0.5550714731216431,
-          0.1366790235042572,
-          0.33598801493644714,
-          0.49225300550460815,
-          0.6483957171440125,
-          0.3165377676486969,
-          0.05070596933364868,
-          0.3658945858478546,
-          0.07349245995283127,
-          0.02135220356285572,
-          0.9899535775184631,
-          0.6588714122772217,
-          0.9584241509437561,
-          0.7039474248886108,
-          0.9926663041114807,
-          0.5769069790840149,
-          0.6764622330665588,
-          0.998921275138855,
-          0.5113556385040283,
-          0.5350059866905212,
-          0.4005412459373474,
-          0.18379539251327515,
-          -0.6124829649925232,
-          -0.916515052318573,
-          -0.6823439002037048,
-          0.06995134800672531,
-          -0.09971776604652405,
-          0.30412760376930237,
-          -0.678033173084259,
-          -0.5627862811088562,
-          -0.42405495047569275,
-          -0.4404540956020355,
-          -0.22640195488929749,
-          -0.2587750554084778,
-          -0.5708564519882202,
-          -0.5173807144165039,
-          -0.9726678133010864,
-          -0.6065524220466614,
-          -0.9628442525863647,
-          -0.060457516461610794,
-          0.07383366674184799,
-          0.033002905547618866,
-          -0.26771634817123413,
-          -0.29332637786865234,
-          -0.2589031755924225,
-          0.4012563228607178,
-          0.6697467565536499,
-          0.37911468744277954,
-          0.6959860324859619,
-          -0.3439806401729584,
-          -0.709836483001709,
-          -0.36161622405052185,
-          -0.5031288266181946,
-          -0.37700721621513367,
-          -0.027168434113264084,
-          0.1186046227812767,
-          0.9283714294433594,
-          0.6873116493225098,
-          0.9881190061569214,
-          0.9892323613166809,
-          0.6267638206481934,
-          0.6916837096214294,
-          0.3116864562034607,
-          0.45751941204071045,
-          -0.30098357796669006,
-          -0.5340659618377686,
-          -0.070583276450634,
-          0.9836627840995789,
-          0.9826307892799377,
-          0.2885918915271759,
-          0.23875781893730164,
-          -0.0010253038490191102,
-          -0.01305148471146822,
-          -0.7080255746841431,
-          -0.5416524410247803,
-          -0.7137928605079651,
-          -0.8609718084335327,
-          -0.6466995477676392,
-          -0.22543102502822876,
-          -0.46304792165756226,
-          0.40055951476097107,
-          0.5511629581451416,
-          0.4643996059894562,
-          -0.24696844816207886,
-          0.0023746946826577187,
-          -0.121971994638443,
-          0.09900698065757751,
-          0.24953289330005646,
-          0.22445939481258392,
-          0.10599268972873688,
-          -0.02011456899344921,
-          0.4988115429878235,
-          0.9421597123146057,
-          0.7781175374984741,
-          0.7483584880828857,
-          -0.9510202407836914,
-          -0.5498870611190796,
-          -0.8496232032775879,
-          -0.25599583983421326,
-          -0.018814457580447197,
-          0.0450722798705101,
-          0.006867034826427698,
-          0.9926801323890686,
-          -0.33451950550079346,
-          -0.6014363765716553,
-          -0.3249167501926422,
-          -0.42981573939323425,
-          -0.7796371579170227,
-          -0.6329610347747803,
-          -0.9835079908370972,
-          -0.9459924101829529,
-          -0.5039926767349243,
-          -0.4338308274745941,
-          -0.25865885615348816,
-          -0.6047350168228149,
-          -0.20979124307632446,
-          0.5729902386665344,
-          0.7663477659225464,
-          0.29461243748664856,
-          0.5809187293052673,
-          -0.18392319977283478,
-          0.020668039098381996,
-          -0.27200955152511597,
-          0.03924412652850151,
-          0.0195060633122921,
-          0.3324436545372009,
-          0.6782426834106445,
-          0.17382746934890747,
-          0.4320796728134155,
-          0.20146599411964417,
-          0.37333109974861145,
-          0.5286331176757812,
-          -0.02363656461238861,
-          -0.0906238928437233,
-          0.5550857782363892,
-          0.5451454520225525,
-          0.5945549011230469,
-          -0.7518652677536011,
-          -0.5248426795005798,
-          -0.387797087430954,
-          -0.5349641442298889,
-          -0.25117042660713196,
-          0.1672535389661789,
-          -0.030160700902342796,
-          0.2272733896970749,
-          0.22918443381786346,
-          0.0007958645583130419,
-          -0.47246626019477844,
-          -0.26326435804367065,
-          -0.2667330503463745,
-          0.2950707972049713,
-          0.5224003791809082,
-          0.24893133342266083,
-          0.24893133342266083,
-          -0.3438313901424408,
-          0.2669813930988312,
-          -0.05906572937965393,
-          0.3875717222690582,
-          0.2657814919948578,
-          0.7311900854110718,
-          0.6060779690742493,
-          0.45794302225112915,
-          -0.010273333638906479,
-          0.1575591117143631,
-          0.3539920449256897,
-          -0.6644736528396606,
-          -0.48027414083480835,
-          -0.9416919350624084,
-          0.9293450713157654,
-          0.4946977198123932,
-          0.5810832977294922,
-          0.8662898540496826,
-          0.9053993225097656,
-          0.5155513882637024,
-          0.6468337774276733,
-          0.4702588617801666,
-          0.11277738958597183,
-          -0.048379454761743546,
-          -0.2031347006559372,
-          -0.4603961706161499,
-          -0.1806602030992508,
-          0.10649269074201584,
-          0.24402277171611786,
-          0.22087182104587555,
-          0.6698569059371948,
-          0.6410759091377258,
-          0.4929329752922058,
-          0.23700262606143951,
-          -0.37436285614967346,
-          -0.2582411468029022,
-          0.000663433806039393,
-          -0.9097479581832886,
-          -0.6664299368858337,
-          -0.9650605320930481,
-          0.4332942068576813,
-          0.19210495054721832,
-          0.2930695116519928,
-          0.23533089458942413,
-          0.6286520957946777,
-          0.6442918181419373,
-          0.34618571400642395,
-          -0.006241363473236561,
-          0.1833106428384781,
-          0.29168185591697693,
-          -0.002174111781641841,
-          0.47259294986724854,
-          0.25226056575775146,
-          0.1899283230304718,
-          0.1295872926712036,
-          -0.14776815474033356,
-          -0.007787336595356464,
-          0.1263086497783661,
-          0.15495635569095612,
-          0.40780001878738403,
-          0.5031928420066833,
-          0.22645917534828186,
-          0.04210563376545906,
-          0.1961057186126709,
-          -0.10216209292411804,
-          0.28054866194725037,
-          0.4921416640281677,
-          0.18888798356056213,
-          0.29682838916778564,
-          0.9105742573738098,
-          0.7120792269706726,
-          0.46320977807044983,
-          0.830166220664978,
-          0.48220357298851013,
-          -0.8679813146591187,
-          -0.9516631364822388,
-          0.47452154755592346,
-          0.7259277701377869,
-          0.6084266901016235,
-          0.9848937392234802,
-          -0.23830050230026245,
-          -0.76807701587677,
-          -0.44848307967185974,
-          -0.24442195892333984,
-          0.0057609472423791885,
-          0.04943608120083809,
-          -0.038206059485673904,
-          -0.20376498997211456,
-          -0.33428671956062317,
-          -0.4373824894428253,
-          -0.42244595289230347,
-          -0.6520264744758606,
-          -0.36086952686309814,
-          -0.6188114285469055,
-          0.1818607598543167,
-          -0.31560376286506653,
-          -0.2107848972082138,
-          -0.6734336614608765,
-          0.9861479997634888,
-          0.9878979325294495,
-          0.9840410947799683,
-          0.34084373712539673,
-          -0.6104958653450012,
-          0.29332637786865234,
-          0.6329606175422668,
-          0.4734562635421753,
-          0.6387461423873901,
-          0.9190930128097534,
-          -0.34333351254463196,
-          -0.19907696545124054,
-          -0.007516813464462757,
-          0.35606294870376587,
-          0.5664986968040466,
-          0.2380324900150299,
-          0.02087165042757988,
-          0.1486402451992035,
-          -0.1486402451992035,
-          -0.5884139537811279,
-          -0.24894261360168457,
-          -0.5900663137435913,
-          -0.4645562767982483,
-          0.22966508567333221,
-          0.30052053928375244,
-          0.25223761796951294,
-          0.4725068509578705,
-          0.9906204342842102,
-          0.53376704454422,
-          0.5839667320251465,
-          0.9822286367416382,
-          -0.5414755940437317,
-          -0.959226131439209,
-          -0.8078566789627075,
-          -0.6092051267623901,
-          -0.634707510471344,
-          -0.5340558290481567,
-          0.20579388737678528,
-          0.5619252324104309,
-          0.020743170753121376,
-          -0.8842752575874329,
-          -0.9857361912727356,
-          -0.5279218554496765,
-          -0.9429054260253906,
-          0,
-          -0.4684806168079376,
-          -0.21044278144836426,
-          -0.7952387928962708,
-          -0.9352442026138306,
-          -0.9609246850013733,
-          -0.4732184112071991,
-          0.23765499889850616,
-          -0.0679740384221077,
-          -0.14824911952018738,
-          0.19725912809371948,
-          -0.06877187639474869,
-          -0.07851611077785492,
-          0.8686026334762573,
-          0.6927322745323181,
-          0.6234987378120422,
-          0.5488587021827698,
-          -0.19145558774471283,
-          -0.3909909725189209,
-          -0.07928632199764252,
-          -0.3109854459762573,
-          0.5313256978988647,
-          0.03555777668952942,
-          0.0490003265440464,
-          0.31111860275268555,
-          0.10442136228084564,
-          0.17511685192584991,
-          -0.11836609244346619,
-          0,
-          -0.01821127161383629,
-          -0.3708040714263916,
-          -0.2981916069984436,
-          -0.46162664890289307,
-          -0.1726837307214737,
-          -0.123359814286232,
-          0.4126456081867218,
-          0.17629684507846832,
-          0.43020865321159363,
-          -0.16406390070915222,
-          -0.29134809970855713,
-          -0.3465260863304138,
-          -0.1638673096895218,
-          -0.36755621433258057,
-          -0.19412018358707428,
-          -0.2797713577747345,
-          0.6075701713562012,
-          0.654580295085907,
-          -0.4861188530921936,
-          -0.31833672523498535,
-          -0.5780981779098511,
-          -0.6000235080718994,
-          -0.004480898380279541,
-          0.06860040128231049,
-          -0.24482126533985138,
-          0.28688132762908936,
-          -0.9631673693656921,
-          -0.971184492111206,
-          -0.5911328792572021,
-          -0.9907293319702148,
-          0.5847785472869873,
-          0.9999487996101379,
-          0.5352766513824463,
-          -0.8988922834396362,
-          -0.7401489019393921,
-          0.9553634524345398,
-          -0.23085886240005493,
-          -0.11746350675821304,
-          -0.3938993215560913,
-          -0.5889719724655151,
-          -0.2792058289051056,
-          -0.3732108473777771,
-          -0.3574441075325012,
-          -0.6824148297309875,
-          -0.22026440501213074,
-          -0.5700737833976746,
-          -0.5176344513893127,
-          0.12050525844097137,
-          -0.09682867676019669,
-          -0.35551348328590393,
-          -0.17618408799171448,
-          -0.2755252420902252,
-          0.04571164771914482,
-          -0.17331843078136444,
-          -0.9896681308746338,
-          -0.6911693215370178,
-          -0.5965977907180786,
-          -0.5998966097831726,
-          -0.9706664681434631,
-          -0.9917164444923401,
-          -0.6897068619728088,
-          -0.9094218611717224,
-          0.78774094581604,
-          0.6912752389907837,
-          0.0785423144698143,
-          0.016106540337204933,
-          -0.22879524528980255,
-          0.013991397805511951,
-          -0.38984066247940063,
-          -0.15052154660224915,
-          -0.5829851031303406,
-          -0.23330901563167572,
-          0.059916771948337555,
-          0.0003111835103482008,
-          0.6251672506332397,
-          0.31113284826278687,
-          0.5296736359596252,
-          -0.5800420045852661,
-          0.5752048492431641,
-          0.6355389952659607,
-          0.25313037633895874,
-          -0.47975510358810425,
-          -0.7129015326499939,
-          0.2674548923969269,
-          -0.20113208889961243,
-          0.3797936737537384,
-          1.1691379777549558e-15,
-          -0.2713494598865509,
-          0.40313920378685,
-          0.845343828201294,
-          0.39367449283599854,
-          -0.9590659737586975,
-          -0.2106667459011078,
-          -0.47452685236930847,
-          -0.4596824049949646,
-          -0.25136223435401917,
-          0.15601640939712524,
-          0.08271649479866028,
-          0.9565548896789551,
-          0.7303852438926697,
-          0.6288405656814575,
-          0.9848345518112183,
-          -0.09036430716514587,
-          -0.42064154148101807,
-          -0.9738449454307556,
-          -0.5138938426971436,
-          -0.16709473729133606,
-          -0.2977195680141449,
-          0.014614290557801723,
-          0.9725919365882874,
-          -0.593136191368103,
-          0.7926254868507385,
-          0.7128075361251831,
-          0.5469134449958801,
-          0.4639262855052948,
-          -0.06447644531726837,
-          0.17454104125499725,
-          -0.9590659737586975,
-          -0.8485125303268433,
-          -0.8613754510879517,
-          -0.8202615976333618,
-          -0.9732046723365784,
-          -0.44705015420913696,
-          -0.9994475841522217,
-          -0.7387363910675049,
-          -0.9583876729011536,
-          0.5713192224502563,
-          0.6820598244667053,
-          0.6784961819648743,
-          0.9906498193740845,
-          -0.9688231945037842,
-          -0.6363033056259155,
-          -0.9904927015304565,
-          -0.09575266391038895,
-          -0.5594531893730164,
-          0.3919374942779541,
-          0.6962965726852417,
-          0.4743371605873108,
-          0.32579144835472107,
-          -0.036251384764909744,
-          0.30545035004615784,
-          -0.3993871510028839,
-          -0.16404372453689575,
-          -0.05687348172068596,
-          0.06529530882835388,
-          -0.2403002232313156,
-          -0.21965867280960083,
-          -0.5458555817604065,
-          -0.33839061856269836,
-          -0.7479055523872375,
-          -0.6366367340087891,
-          -0.8835325837135315,
-          -0.998812198638916,
-          0.9292991161346436,
-          0.5906811952590942,
-          0.1568344235420227,
-          0.329791784286499,
-          0.6214436292648315,
-          0.8624156713485718,
-          0.9541876912117004,
-          0.8377023935317993,
-          0.16098438203334808,
-          0.5198801755905151,
-          0.4614923894405365,
-          0.4828778803348541,
-          -0.4090541899204254,
-          -0.6571433544158936,
-          0.7736345529556274,
-          0.9174755811691284,
-          0.5050711035728455,
-          0.6888444423675537,
-          -0.6057143807411194,
-          0.9539580345153809,
-          0.7932191491127014,
-          0.3558451235294342,
-          -0.294318825006485,
-          -0.43747037649154663,
-          -0.2859049141407013,
-          -0.5471164584159851,
-          0.3661544919013977,
-          0.21708662807941437,
-          0.047813039273023605,
-          -0.10936380922794342,
-          -0.9813233017921448,
-          0.6716124415397644,
-          0.9972550272941589,
-          0.9591069221496582,
-          0.9881190061569214,
-          -0.5873571634292603,
-          -0.7924172282218933,
-          -0.597710132598877,
-          -0.2933533787727356,
-          0.6591892242431641,
-          0.982540488243103,
-          0.15812546014785767,
-          0.5574328303337097,
-          0.3088320791721344,
-          -0.15484392642974854,
-          0.06583964824676514,
-          0.0556543804705143,
-          -0.41467854380607605,
-          -0.020549282431602478,
-          -0.17505614459514618,
-          -0.6844256520271301,
-          -0.14388316869735718,
-          0.37474673986434937,
-          -0.9988948702812195,
-          -0.18562301993370056,
-          0.21414516866207123,
-          0.1545124351978302,
-          -0.0718170553445816,
-          0.09742579609155655,
-          0.2770216763019562,
-          -0.1361367404460907,
-          0.23760713636875153,
-          -0.979985237121582,
-          -0.9926663041114807,
-          -0.9774913191795349,
-          -0.16620796918869019,
-          0.3408176600933075,
-          -0.8754684329032898,
-          -0.9926663041114807,
-          -0.9343691468238831,
-          -0.9726558923721313,
-          0.3258844017982483,
-          -0.6285980939865112,
-          -0.9526984095573425,
-          0.5530601739883423,
-          0.4029441475868225,
-          -0.15432234108448029,
-          -0.25908252596855164,
-          0.4096115529537201,
-          0.43439316749572754,
-          -0.8870314359664917,
-          -0.41186952590942383,
-          0.09266889840364456,
-          0.2557157576084137,
-          0.6775721907615662,
-          -0.4413914978504181,
-          0.13172948360443115,
-          0.21691279113292694,
-          -0.9269883036613464,
-          0.30631664395332336,
-          0.21891158819198608,
-          -0.6346932053565979,
-          -0.3447767496109009,
-          0.130438894033432,
-          0.47534096240997314,
-          0.5058916211128235,
-          -0.6356008052825928,
-          -0.24553059041500092,
-          -0.17978045344352722,
-          -0.34532439708709717,
-          -0.2420850694179535,
-          -0.4619636535644531,
-          -0.4826432168483734,
-          0.5221319198608398,
-          0.029748890548944473,
-          -0.7130288481712341,
-          -0.8076095581054688,
-          0.29332637786865234,
-          0.5628518462181091,
-          0.06730208545923233,
-          0.4723880887031555,
-          -0.12552547454833984,
-          -0.4614121615886688,
-          0.08412102609872818,
-          -0.13070812821388245,
-          -0.2101341336965561,
-          0.01784065179526806,
-          0.9772608280181885,
-          0.9888244271278381,
-          0.998428463935852,
-          0.9541769623756409,
-          0.9986042976379395,
-          -0.7781175374984741,
-          0.43230360746383667,
-          0.6684873104095459,
-          0.2304299771785736,
-          -0.5736464858055115,
-          -0.844412088394165,
-          0.00047851071576587856,
-          -0.8698142766952515,
-          -0.8623660206794739,
-          -0.6524214744567871,
-          0.4876599907875061,
-          0.41059526801109314,
-          0.11519432067871094,
-          0.027569491416215897,
-          -0.18464042246341705,
-          0.07333831489086151,
-          -0.28634411096572876,
-          -0.628840982913971,
-          -0.4625285863876343,
-          -0.7084884643554688,
-          0.13881811499595642,
-          0.013083233498036861,
-          -0.2419593632221222,
-          -0.9994175434112549,
-          -0.8644529581069946,
-          -0.969346821308136,
-          0.6237660050392151,
-          0.3980129659175873,
-          0.07845746725797653,
-          0.059401463717222214,
-          0.9435102343559265,
-          0.6205036044120789,
-          0.8704222440719604,
-          0.0805128887295723,
-          0.40569618344306946,
-          0.7998630404472351,
-          -0.15637905895709991,
-          -0.30140817165374756,
-          -0.10545636713504791,
-          0.013164041563868523,
-          -0.8021248579025269,
-          -0.674019455909729,
-          1.1381953347961641e-15,
-          0.8842353820800781,
-          0.70960932970047,
-          0.8383103013038635,
-          0.9725919365882874,
-          -0.020549282431602478,
-          0.6637487411499023,
-          -0.4817539155483246,
-          0.842215895652771,
-          0.827395498752594,
-          0.5711965560913086,
-          0.9451232552528381,
-          -0.505468487739563,
-          -0.5622516870498657,
-          0.5627862811088562,
-          0.43230360746383667,
-          0.2933533787727356,
-          -0.7023643851280212,
-          0.5701262354850769,
-          0.32938721776008606,
-          -0.9919143915176392,
-          -0.9549797773361206,
-          0.23374751210212708,
-          0.026159776374697685,
-          -0.36292386054992676,
-          0.9944577813148499,
-          0.021349981427192688,
-          -0.4515495300292969,
-          -0.0596543550491333,
-          -0.054855652153491974,
-          -0.8076095581054688,
-          -0.4196002781391144,
-          -0.4410720765590668,
-          -0.6684819459915161,
-          0.8623660206794739,
-          0.7781712412834167,
-          -0.4617902934551239,
-          0.9156145453453064,
-          0.6612699031829834,
-          0.8220000267028809,
-          0.7003620862960815,
-          0.9428480863571167,
-          0.3421337604522705,
-          0.009491427801549435,
-          -0.024708475917577744,
-          -0.243136465549469,
-          -0.6658512353897095,
-          0.05885906517505646,
-          -0.12039002776145935,
-          -0.9692688584327698,
-          -0.9894528985023499,
-          -0.712857186794281,
-          0.9669307470321655,
-          0.9363831281661987,
-          0.7855737209320068,
-          0.0020480032544583082,
-          0.48156502842903137,
-          0.23229436576366425,
-          0.2777603268623352,
-          0.9257963299751282,
-          0.6556273102760315,
-          -0.9106780886650085,
-          -0.3095446527004242,
-          0.9899122714996338,
-          -0.8134732842445374,
-          0.8606582283973694,
-          0.6877522468566895,
-          0.4117426872253418,
-          0.4701825976371765,
-          0.7486863732337952,
-          0.544661283493042,
-          0.7486863732337952,
-          0.678033173084259,
-          0.17454104125499725,
-          -0.17454104125499725,
-          -0.9429054260253906,
-          -0.9972629547119141,
-          -0.7024728059768677,
-          0.484409362077713,
-          -0.7819303274154663,
-          -0.7981323003768921,
-          -0.7253903150558472,
-          -0.28735053539276123,
-          0.36599305272102356,
-          -0.9146113395690918,
-          -0.10216209292411804,
-          0.01893974095582962,
-          0.19509032368659973,
-          -0.6746619939804077,
-          -0.580647885799408,
-          -0.8524736762046814,
-          -0.38539648056030273,
-          0.3909161388874054,
-          0.8446590304374695,
-          -0.9985224008560181,
-          0.5946504473686218,
-          -0.01600003056228161,
-          0.40821167826652527,
-          0.48939603567123413,
-          -0.09601835906505585,
-          -0.9909332990646362,
-          -0.5974749326705933,
-          0.33801841735839844,
-          0.5988664031028748,
-          0.47321829199790955,
-          0.5466654896736145,
-          -0.08516772836446762,
-          -0.08488517999649048,
-          -0.43230360746383667,
-          -0.9939273595809937,
-          -0.8418577313423157,
-          0.37960660457611084,
-          0.3056824207305908,
-          -0.3595028221607208,
-          -0.19509032368659973,
-          -0.29275640845298767,
-          -0.9550285339355469,
-          0.9962120056152344,
-          0.9809043407440186,
-          0.6006340980529785,
-          0.8467000126838684,
-          -0.8403451442718506,
-          -0.8470764756202698,
-          0.2801212966442108,
-          -0.9871431589126587,
-          0.08321216702461243,
-          0.19509032368659973,
-          0.22816050052642822,
-          -0.2699337899684906,
-          -0.6778974533081055,
-          -0.8404248356819153,
-          0.2901766896247864,
-          0.5331884622573853,
-          0.44227609038352966,
-          0.9771484136581421,
-          0.8558570742607117,
-          -0.7451087236404419,
-          0.9981444478034973,
-          -0.678033173084259,
-          -0.8475834727287292,
-          0.3360883593559265,
-          0.9743492007255554,
-          -0.282871812582016,
-          -0.22345055639743805,
-          0.3189956545829773,
-          -0.9293450713157654,
-          0.5089709162712097,
-          0.8060675263404846,
-          0.8813042640686035,
-          -0.5501174926757812,
-          0.43230360746383667,
-          0.399971067905426,
-          0.5860621929168701,
-          -0.8191595077514648,
-          0.8525258898735046,
-          0.4839176535606384,
-          0.43716105818748474,
-          0.44707098603248596,
-          -0.004523725248873234,
-          -0.0728132501244545,
-          -0.5065698027610779,
-          0.10219016671180725,
-          0.12683188915252686,
-          0.46737194061279297,
-          -0.39507293701171875,
-          0.14336158335208893,
-          0.5697399377822876,
-          -0.04716167598962784,
-          -0.02876582369208336,
-          0.716044545173645,
-          0.8369349837303162,
-          -0.3292773365974426,
-          0.7456651926040649,
-          0.5343924760818481,
-          -0.9642449021339417,
-          -0.535721480846405,
-          -0.4752419590950012,
-          0.5506404638290405,
-          0.42234858870506287,
-          0.2887100875377655,
-          -0.06674723327159882,
-          0.6946030259132385,
-          0.02623007260262966,
-          0.946326732635498,
-          -0.5398248434066772,
-          -0.9635012149810791,
-          -0.9525694251060486,
-          -0.5915231704711914,
-          -0.5506868362426758,
-          0.5892135500907898,
-          -0.8410922288894653,
-          -0.9329262375831604,
-          -0.9138374328613281,
-          0.8402705788612366,
-          0.9105742573738098,
-          -0.9931750297546387,
-          -0.4777680039405823,
-          -0.8566827178001404,
-          -0.6324874758720398,
-          0.8885729312896729,
-          0.9815806150436401,
-          -0.13777193427085876,
-          -0.6420971155166626,
-          -0.5806383490562439,
-          0.5950174927711487,
-          -0.8831895589828491,
-          -0.9292991161346436,
-          -0.515745222568512,
-          -0.7781712412834167,
-          -0.47324317693710327,
-          0.7560555934906006,
-          -0.6978248953819275,
-          0.5688090324401855,
-          0.48954278230667114,
-          -0.4428369104862213,
-          -0.2906172573566437,
-          -0.8368217945098877,
-          -0.9935793280601501,
-          0.982795000076294,
-          -0.7022608518600464,
-          -0.5990626811981201,
-          0.4099653661251068,
-          0.8622729182243347,
-          -0.286173015832901,
-          0.16053339838981628,
-          0.6610923409461975,
-          0.5628518462181091,
-          0.18883104622364044,
-          0.8341196775436401,
-          -0.29332637786865234,
-          -0.4320796728134155,
-          -0.5608901381492615,
-          -0.7485610842704773,
-          -0.06010530889034271,
-          0.21931923925876617,
-          -0.22103886306285858,
-          -0.5628518462181091,
-          0.9293450713157654,
-          0.7130826711654663,
-          0.9627287983894348,
-          0.9840801358222961,
-          -0.8595077991485596,
-          0.31655168533325195,
-          0.882563591003418,
-          0.971177875995636,
-          -0.9552678465843201,
-          0.7955359220504761,
-          -0.12935291230678558,
-          0.9853049516677856,
-          -0.33821555972099304,
-          0.9915511608123779,
-          -0.9826152324676514,
-          -0.9881051778793335,
-          0.9917153120040894,
-          0.08590389788150787,
-          -0.6782426834106445,
-          0.47321829199790955,
-          -0.17458701133728027,
-          -0.445766419172287,
-          -0.648909866809845,
-          -0.8623660206794739,
-          0.7130826711654663,
-          0.807781457901001,
-          0.8623660206794739,
-          -0.31360378861427307,
-          0.9839302897453308,
-          0.6382311582565308,
-          -0.9593880772590637,
-          0.3193909227848053,
-          -0.7817341685295105,
-          0.023031573742628098,
-          -0.4200100302696228,
-          0.9933979511260986,
-          -0.8614697456359863,
-          -0.8687127232551575,
-          0.16769032180309296,
-          0.46352097392082214,
-          -0.5226393938064575,
-          -0.24868835508823395,
-          0.16562004387378693,
-          0.3897646963596344,
-          0.7157204151153564,
-          0.3493865430355072,
-          -0.8276746273040771,
-          -0.9994074702262878,
-          0.9726558923721313,
-          -0.2598225772380829,
-          0.9036200046539307,
-          0.9771667718887329,
-          0.8610367178916931,
-          -0.05206523463129997,
-          0.20172397792339325,
-          -0.9491549134254456,
-          0.006670048926025629,
-          0.48246243596076965,
-          0.02163754589855671,
-          0.1861138790845871,
-          -0.9725919365882874,
-          -0.9926801323890686,
-          -0.9994572997093201,
-          0.34400707483291626,
-          0.6316402554512024,
-          -0.8622729182243347,
-          0.6931447386741638,
-          0.8637305498123169,
-          -0.49691101908683777,
-          0.4423399865627289,
-          0.9413233995437622,
-          0.2561284601688385,
-          0.4177584648132324,
-          -0.7151981592178345,
-          0.3847554624080658,
-          0.00911870226264,
-          0.04645007848739624,
-          0.9529821872711182,
-          0.9131877422332764,
-          0.9860866069793701,
-          -0.28687211871147156,
-          0.7533616423606873,
-          0.525320291519165,
-          -0.2505177855491638,
-          0.22584663331508636,
-          -0.31802502274513245,
-          -0.664940357208252,
-          0.3854376971721649,
-          -0.5987637042999268,
-          0.9183555841445923,
-          -0.8924358487129211,
-          -0.39667022228240967,
-          -0.8860922455787659,
-          0.642162561416626,
-          -0.12058087438344955,
-          -0.9389616847038269,
-          -0.830712616443634,
-          -0.606196939945221,
-          -0.7111347317695618,
-          -0.3265444338321686,
-          -0.56674724817276,
-          0.9875668883323669,
-          -0.10216209292411804,
-          0.5815808773040771,
-          0.9071466326713562,
-          -0.8691815733909607,
-          -0.5292973518371582,
-          -0.7014018893241882,
-          0.2636984586715698,
-          0.9412404298782349,
-          0.9982985854148865,
-          0.9909630417823792,
-          -0.3709893822669983,
-          -0.7072163224220276
-         ]
-        }
-       ],
-       "layout": {
-        "height": 500,
-        "scene": {
-         "aspectmode": "data"
-        },
-        "template": {
-         "data": {
-          "bar": [
-           {
-            "error_x": {
-             "color": "#2a3f5f"
-            },
-            "error_y": {
-             "color": "#2a3f5f"
-            },
-            "marker": {
-             "line": {
-              "color": "#E5ECF6",
-              "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "bar"
-           }
-          ],
-          "barpolar": [
-           {
-            "marker": {
-             "line": {
-              "color": "#E5ECF6",
-              "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "barpolar"
-           }
-          ],
-          "carpet": [
-           {
-            "aaxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "baxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "type": "carpet"
-           }
-          ],
-          "choropleth": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "choropleth"
-           }
-          ],
-          "contour": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "contour"
-           }
-          ],
-          "contourcarpet": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "contourcarpet"
-           }
-          ],
-          "heatmap": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "heatmap"
-           }
-          ],
-          "heatmapgl": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "heatmapgl"
-           }
-          ],
-          "histogram": [
-           {
-            "marker": {
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "histogram"
-           }
-          ],
-          "histogram2d": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "histogram2d"
-           }
-          ],
-          "histogram2dcontour": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "histogram2dcontour"
-           }
-          ],
-          "mesh3d": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "mesh3d"
-           }
-          ],
-          "parcoords": [
-           {
-            "line": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "parcoords"
-           }
-          ],
-          "pie": [
-           {
-            "automargin": true,
-            "type": "pie"
-           }
-          ],
-          "scatter": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatter"
-           }
-          ],
-          "scatter3d": [
-           {
-            "line": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatter3d"
-           }
-          ],
-          "scattercarpet": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattercarpet"
-           }
-          ],
-          "scattergeo": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattergeo"
-           }
-          ],
-          "scattergl": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattergl"
-           }
-          ],
-          "scattermapbox": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattermapbox"
-           }
-          ],
-          "scatterpolar": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterpolar"
-           }
-          ],
-          "scatterpolargl": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterpolargl"
-           }
-          ],
-          "scatterternary": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterternary"
-           }
-          ],
-          "surface": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "surface"
-           }
-          ],
-          "table": [
-           {
-            "cells": {
-             "fill": {
-              "color": "#EBF0F8"
-             },
-             "line": {
-              "color": "white"
-             }
-            },
-            "header": {
-             "fill": {
-              "color": "#C8D4E3"
-             },
-             "line": {
-              "color": "white"
-             }
-            },
-            "type": "table"
-           }
-          ]
-         },
-         "layout": {
-          "annotationdefaults": {
-           "arrowcolor": "#2a3f5f",
-           "arrowhead": 0,
-           "arrowwidth": 1
-          },
-          "autotypenumbers": "strict",
-          "coloraxis": {
-           "colorbar": {
-            "outlinewidth": 0,
-            "ticks": ""
-           }
-          },
-          "colorscale": {
-           "diverging": [
-            [
-             0,
-             "#8e0152"
-            ],
-            [
-             0.1,
-             "#c51b7d"
-            ],
-            [
-             0.2,
-             "#de77ae"
-            ],
-            [
-             0.3,
-             "#f1b6da"
-            ],
-            [
-             0.4,
-             "#fde0ef"
-            ],
-            [
-             0.5,
-             "#f7f7f7"
-            ],
-            [
-             0.6,
-             "#e6f5d0"
-            ],
-            [
-             0.7,
-             "#b8e186"
-            ],
-            [
-             0.8,
-             "#7fbc41"
-            ],
-            [
-             0.9,
-             "#4d9221"
-            ],
-            [
-             1,
-             "#276419"
-            ]
-           ],
-           "sequential": [
-            [
-             0,
-             "#0d0887"
-            ],
-            [
-             0.1111111111111111,
-             "#46039f"
-            ],
-            [
-             0.2222222222222222,
-             "#7201a8"
-            ],
-            [
-             0.3333333333333333,
-             "#9c179e"
-            ],
-            [
-             0.4444444444444444,
-             "#bd3786"
-            ],
-            [
-             0.5555555555555556,
-             "#d8576b"
-            ],
-            [
-             0.6666666666666666,
-             "#ed7953"
-            ],
-            [
-             0.7777777777777778,
-             "#fb9f3a"
-            ],
-            [
-             0.8888888888888888,
-             "#fdca26"
-            ],
-            [
-             1,
-             "#f0f921"
-            ]
-           ],
-           "sequentialminus": [
-            [
-             0,
-             "#0d0887"
-            ],
-            [
-             0.1111111111111111,
-             "#46039f"
-            ],
-            [
-             0.2222222222222222,
-             "#7201a8"
-            ],
-            [
-             0.3333333333333333,
-             "#9c179e"
-            ],
-            [
-             0.4444444444444444,
-             "#bd3786"
-            ],
-            [
-             0.5555555555555556,
-             "#d8576b"
-            ],
-            [
-             0.6666666666666666,
-             "#ed7953"
-            ],
-            [
-             0.7777777777777778,
-             "#fb9f3a"
-            ],
-            [
-             0.8888888888888888,
-             "#fdca26"
-            ],
-            [
-             1,
-             "#f0f921"
-            ]
-           ]
-          },
-          "colorway": [
-           "#636efa",
-           "#EF553B",
-           "#00cc96",
-           "#ab63fa",
-           "#FFA15A",
-           "#19d3f3",
-           "#FF6692",
-           "#B6E880",
-           "#FF97FF",
-           "#FECB52"
-          ],
-          "font": {
-           "color": "#2a3f5f"
-          },
-          "geo": {
-           "bgcolor": "white",
-           "lakecolor": "white",
-           "landcolor": "#E5ECF6",
-           "showlakes": true,
-           "showland": true,
-           "subunitcolor": "white"
-          },
-          "hoverlabel": {
-           "align": "left"
-          },
-          "hovermode": "closest",
-          "mapbox": {
-           "style": "light"
-          },
-          "paper_bgcolor": "white",
-          "plot_bgcolor": "#E5ECF6",
-          "polar": {
-           "angularaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "bgcolor": "#E5ECF6",
-           "radialaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           }
-          },
-          "scene": {
-           "xaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           },
-           "yaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           },
-           "zaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           }
-          },
-          "shapedefaults": {
-           "line": {
-            "color": "#2a3f5f"
-           }
-          },
-          "ternary": {
-           "aaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "baxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "bgcolor": "#E5ECF6",
-           "caxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           }
-          },
-          "title": {
-           "x": 0.05
-          },
-          "xaxis": {
-           "automargin": true,
-           "gridcolor": "white",
-           "linecolor": "white",
-           "ticks": "",
-           "title": {
-            "standoff": 15
-           },
-           "zerolinecolor": "white",
-           "zerolinewidth": 2
-          },
-          "yaxis": {
-           "automargin": true,
-           "gridcolor": "white",
-           "linecolor": "white",
-           "ticks": "",
-           "title": {
-            "standoff": 15
-           },
-           "zerolinecolor": "white",
-           "zerolinewidth": 2
-          }
-         }
-        },
-        "title": {
-         "text": "Stochastic Results"
-        },
-        "width": 500,
-        "xaxis": {
-         "range": [
-          -5,
-          5
-         ]
-        },
-        "yaxis": {
-         "range": [
-          -1,
-          0.9999999999999999
-         ]
-        }
-       }
-      },
-      "text/html": [
-       "
                                
                        
    "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "        \n",
-       "        "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.plotly.v1+json": {
-       "config": {
-        "linkText": "Export to plot.ly",
-        "plotlyServerURL": "https://plot.ly",
-        "showLink": false
-       },
-       "data": [
-        {
-         "marker": {
-          "color": [
-           9.564335374870252e+40,
-           -1.4454895324466542e+42,
-           -8.28529091594078e+41,
-           6.655263051687091e+39,
-           -4.167134313102489e+44,
-           -2.0651428088049316e+44,
-           -3.2690895804201947e+44,
-           -3.05829152315126e+44,
-           4.258358405426227e+41,
-           -1.1495033915649353e+42,
-           2.6400533798096977e+41,
-           -9.374395162499978e+42,
-           2.886258999805707e+41,
-           -4.657456031210092e+40,
-           -1.8131016645527998e+43,
-           -6.795016793342594e+41,
-           1.9287052908618806e+45,
-           1.2832222801248469e+44,
-           -9.667627070533012e+44,
-           1.5523794790609484e+44,
-           -1.0593165688335335e+44,
-           -1.406966187117799e+43,
-           -4.940941705389235e+43,
-           -2.0584344504460927e+44,
-           -1.6574082870105647e+44,
-           2.9008069859190986e+43,
-           -2.140293994672546e+41,
-           -5.331365124656717e+44,
-           3.011657394675736e+44,
-           4.166342536300793e+45,
-           -3.7433917203800574e+46,
-           3.841396175272953e+45,
-           1.821308978493024e+44,
-           -4.912291623786151e+42,
-           -7.627270159676832e+42,
-           1.3480695090599562e+43,
-           -1.7455994372438277e+43,
-           7.558456748233028e+43,
-           1.647655709835341e+43,
-           2.353178888510054e+43,
-           2.48267608817669e+39,
-           7.309179254877736e+39,
-           3.17469028824278e+39,
-           -8.924179041106582e+40,
-           1.72396858826551e+43,
-           -1.6283778153656201e+43,
-           -3.0417997380531657e+44,
-           7.361901210160562e+43,
-           2.0319593089861664e+42,
-           2.901677420880713e+41,
-           1.8873724444299784e+43,
-           -9.193071250787455e+42,
-           -5.817556954339484e+45,
-           2.7977108038390176e+45,
-           -3.635671719825667e+44,
-           8.652175271531545e+43,
-           -3.2318861519874297e+40,
-           -4.001151962107059e+41,
-           -8.757098895774662e+41,
-           1.5782152937580948e+42,
-           -5.47265422000069e+38,
-           -1.3425452265675508e+39,
-           4.385724103274985e+38,
-           1.3554379290714237e+38,
-           2.8140171006857547e+38,
-           1.157859357050345e+43,
-           5.4795938492988073e+42,
-           -1.5901751621865987e+45,
-           4.713165496706625e+42,
-           1.360768223282482e+41,
-           -1.9664754501640593e+41,
-           -3.0935279210233503e+41,
-           -5.39029209210632e+43,
-           -1.253683628185929e+44,
-           -3.4256786150178646e+43,
-           1.9353425053708486e+45,
-           -1.2170078961773314e+39,
-           7.326177978189949e+40,
-           1.9556434920657186e+40,
-           -3.6096676516583223e+40,
-           1.7035247921420814e+43,
-           4.681606859748907e+44,
-           9.412175473189375e+42,
-           -1.3309501571195523e+42,
-           -2.8271704178262976e+39,
-           2.976217070409151e+39,
-           1.140383789524173e+41,
-           -4.4423644499897255e+38,
-           8.407215500569274e+40,
-           9.713231598910813e+40,
-           -3.5366338966342286e+40,
-           -1.3443603998251336e+41,
-           1.4811894102641899e+41,
-           8.737428355137302e+41,
-           1.4241706321929422e+43,
-           39178.998043,
-           -3.3149171251907732e+44,
-           1.5907119577925537e+43,
-           1.409416293581588e+43,
-           3.06164722991684e+43,
-           2.8306548904332384e+43,
-           1.4275918605061097e+44,
-           1.7776275200621176e+42,
-           1.8026247658862234e+43,
-           1.139610894201508e+42,
-           6.295980914878367e+43,
-           5.090182433613915e+42,
-           -2.0638546657308535e+42,
-           -8.485504110066575e+43,
-           8.259360247229732e+42,
-           9.311954702353437e+42,
-           -4.144900723681075e+43,
-           1.601144589373076e+43,
-           7.626860620926641e+43,
-           1.7380352580327717e+42,
-           1.251822817986756e+44,
-           -1.452727329804208e+42,
-           -1.7066742769507752e+43,
-           -1.3800192904332498e+42,
-           2.1970750406452966e+45,
-           -4.5359929304025176e+45,
-           1.1421790468740873e+45,
-           -1.0641329701151342e+38,
-           -7.993235286001864e+38,
-           2.8463971544074144e+36,
-           6.433939968255725e+36,
-           -1.4341658048968593e+41,
-           8.871853946893403e+41,
-           -1.0773785788029425e+43,
-           -1.8610762924443435e+42,
-           -4.767568674184886e+42,
-           1.2458689095486543e+41,
-           5.423912666528586e+41,
-           3.2825005971949355e+37,
-           2.96761008204409e+37,
-           1.4748263412440772e+44,
-           1.3489787491864136e+44,
-           -8.663702131783416e+42,
-           1.824769705108145e+44,
-           -7.4271623184253425e+40,
-           -2.262341377550644e+44,
-           1.1001644148166116e+43,
-           2.5649570144154863e+43,
-           -1.1675572053027592e+44,
-           6.757784679712686e+44,
-           5.175605216815304e+45,
-           3.132245547229214e+41,
-           -3.351741595173048e+42,
-           -2.349195444900006e+41,
-           1.8392094186744633e+45,
-           -6.9050024072857945e+44,
-           -1.0375050676347564e+45,
-           9.603750522519297e+45,
-           -4.452057725979254e+44,
-           -8.712271745721374e+45,
-           -7.687817331879186e+42,
-           5.46675804296618e+44,
-           -8.854366607270226e+44,
-           3.916756297204354e+43,
-           2.240792825149249e+43,
-           4.194232572686198e+43,
-           5.536925434779725e+42,
-           -5.0959759925690945e+44,
-           7.3500382862362e+42,
-           9.98340919868387e+43,
-           2.827668844977951e+43,
-           4.2373948241486146e+44,
-           -1.3330613777772656e+43,
-           39178.998043,
-           8.52798448890278e+44,
-           2.9358353079663036e+44,
-           -5.273026335167347e+45,
-           -2.2831059219686678e+45,
-           -2.306480620377954e+44,
-           -1.5763111894180687e+45,
-           8.954079285806066e+43,
-           2.232663555621556e+43,
-           1.1740565734735734e+42,
-           -3.311030321742244e+42,
-           -6.448166064691689e+44,
-           3.2290970151602054e+43,
-           1.2532467845899274e+44,
-           4.310485983453444e+38,
-           9.661220886345965e+38,
-           1.5450384988860207e+39,
-           6.214694120806666e+38,
-           3.382500784081691e+41,
-           -3.763219950872245e+41,
-           3.847818118835562e+44,
-           -2.204050764381127e+44,
-           3.578888722345277e+43,
-           -6.029063012970963e+44,
-           39178.998043,
-           39178.998043,
-           39178.998043,
-           1.8793749472763718e+45,
-           5.909454833677983e+44,
-           -2.3650581863073414e+44,
-           -1.7261378993169338e+42,
-           3.1081319882352897e+42,
-           1.9213009365216726e+44,
-           -1.2985453626259044e+43,
-           8.651996403023845e+43,
-           1.9147279480307568e+43,
-           -1.7452826712631575e+45,
-           -2.962316314787208e+44,
-           -3.404094038469323e+44,
-           -1.0952918102270685e+43,
-           3.0304918230999637e+42,
-           -5.2297552645168734e+42,
-           -1.204636750698826e+43,
-           1.7415278677345026e+43,
-           2.5075388318287354e+43,
-           3.2425339120940594e+43,
-           -3.876933568204713e+42,
-           8.401185087040827e+39,
-           1.516515009751044e+38,
-           1.6588586986434912e+37,
-           1.333897426811004e+37,
-           -2.899128933369879e+37,
-           2.9531649039366176e+43,
-           -2.0924509706735737e+40,
-           -1.556335459243086e+40,
-           -2.7386434202528606e+40,
-           -6.918478106785382e+40,
-           1.9008992126260093e+40,
-           -1.4847659191390339e+40,
-           3.3294543218236885e+39,
-           5.287725588273299e+42,
-           9.33594363588744e+43,
-           4.078767531693869e+42,
-           -5.127929302011834e+41,
-           -2.3184349332462407e+42,
-           7.133754816379477e+42,
-           2.1522958336030716e+43,
-           -4.0213707238073955e+44,
-           -8.140670238155586e+43,
-           5.3184625956679176e+42,
-           4.521864403650602e+42,
-           1.1110028356850898e+45,
-           5.424054443062773e+43,
-           -4.250979862078851e+42,
-           1.1022831587770228e+45,
-           -1.1993443399114708e+42,
-           5.341781472762434e+42,
-           -9.652516506663115e+42,
-           -3.1644491138880768e+38,
-           -5.641779949899312e+40,
-           6.263962767522669e+38,
-           2.2623060572917806e+40,
-           -4.6339172458956965e+42,
-           -3.747802222130256e+42,
-           -1.4417350927256363e+42,
-           -5.865344317500531e+42,
-           8.096776983975275e+41,
-           1.3444218931627568e+44,
-           -8.936515836047544e+44,
-           9.118600103205794e+43,
-           2.476466141353122e+44,
-           5.217255474456338e+43,
-           -6.819928610587707e+41,
-           1.1545369567218071e+41,
-           -2.6485465948856824e+40,
-           -1.3735697419718695e+44,
-           5.140153595902848e+43,
-           -5.058430633039506e+42,
-           -1.2238084228763777e+44,
-           -4.6074202104315155e+45,
-           3.421130057354718e+44,
-           -1.5772131359925465e+45,
-           -2.7744419849692913e+45,
-           1.0577054013064893e+39,
-           7.23460848078698e+37,
-           3.978157697946791e+39,
-           1.0805058689363693e+45,
-           1.7676434897989414e+42,
-           -4.3439585406114895e+41,
-           8.284374907960003e+41,
-           -2.254931810198256e+41,
-           6.171376231711321e+40,
-           1.4040551494889661e+41,
-           1.4952725532719714e+43,
-           2.485187392440164e+44,
-           -3.716022432647291e+42,
-           -1.1579495818468716e+43,
-           -1.2447807224678851e+44,
-           2.55251266591185e+44,
-           -7.883409147428197e+44,
-           3.3415150106135526e+45,
-           -4.275916671252055e+39,
-           -8.10541769428962e+38,
-           2.6906630822868477e+41,
-           -1.0953310379313462e+39,
-           2.3517662539063114e+38,
-           -3.689203992852621e+40,
-           4.436290668192385e+40,
-           2.114652366503814e+45,
-           -4.948606314713763e+43,
-           -5.294117289227356e+44,
-           3.2698380493167043e+43,
-           -1.4264818137708471e+44,
-           -1.6010365325063356e+43,
-           1.4704578472464367e+44,
-           -5.688210355687085e+44,
-           -2.4906404825536348e+45,
-           1.2823628526359352e+46,
-           3.1651114262032164e+45,
-           2.737750739507377e+45,
-           2.6752947614027853e+45,
-           9.465112604426098e+44,
-           1.2244893710869959e+45,
-           -4.781481967006476e+44,
-           1.7695116661719382e+45,
-           -1.1094946070998386e+45,
-           -1.7059832765617288e+44,
-           2.0210968670673977e+40,
-           1.032777756261992e+42,
-           -1.026352856632856e+38,
-           -7.707792681715387e+39,
-           -6.767805508528665e+39,
-           -4.540728785228407e+38,
-           -1.5084387545854478e+45,
-           5.387256093065528e+44,
-           -1.073094686510598e+43,
-           -1.5644455593435186e+42,
-           4.117271731570439e+42,
-           -8.86759801083276e+42,
-           1.1502186261097951e+41,
-           -1.7724448581089028e+44,
-           -2.3181805775806062e+45,
-           -8.630332168172036e+44,
-           3.2310622914486516e+44,
-           -2.3199703986509824e+44,
-           -1.2667628499158872e+45,
-           -5.451976456829913e+44,
-           39178.998043,
-           39178.998043,
-           -2.3274642286345066e+40,
-           -4.526737712752115e+40,
-           3.5896113954779104e+40,
-           -3.706682010081101e+39,
-           0,
-           1.4690552617011498e+39,
-           0,
-           0,
-           1.0553006254515326e+44,
-           7.750994463466926e+44,
-           -4.024505215492102e+44,
-           4.8485659077374e+43,
-           -1.2529773448335404e+45,
-           2.707904882275324e+43,
-           -7.718435996722826e+42,
-           -1.0707066370848503e+43,
-           1.8819038014696732e+43,
-           -9.622760770548537e+42,
-           -1.6351653563629055e+39,
-           1.9521281433174533e+38,
-           1.6572849840013355e+38,
-           0,
-           9.837933467326836e+36,
-           1.756821326149861e+38,
-           2.6888507174667494e+37,
-           39178.998043,
-           39178.998043,
-           39178.998043,
-           -4.216143032708572e+42,
-           2.962194326495376e+42,
-           -2.6602497478011887e+42,
-           2.113888987056868e+44,
-           4.59893327789211e+44,
-           -2.923961045540547e+39,
-           -2.7185795025029546e+41,
-           -7.719828080360626e+39,
-           -1.7428339449623906e+40,
-           1.7761513599771513e+46,
-           -1.0485242319164447e+43,
-           -2.4741436508072634e+43,
-           4.4319842953943866e+42,
-           -9.855669029146284e+40,
-           -1.0099249731953492e+39,
-           -7.51555695656406e+38,
-           -2.7350968977699495e+38,
-           3.038660273012947e+40,
-           -8.632699416535792e+37,
-           -7.78800818319108e+38,
-           -2.1983400844797442e+43,
-           -3.3517812355732386e+42,
-           39178.998043,
-           1.453052340131468e+44,
-           39178.998043,
-           39178.998043,
-           -5.765191982376325e+38,
-           -1.798872893773805e+39,
-           -6.871727087534396e+37,
-           -3.112578524404599e+45,
-           -9.214202783049836e+44,
-           1.0866683292437415e+46,
-           3.0094954842653167e+44,
-           3.549215045346073e+43,
-           -2.8682349516969756e+44,
-           -1.023310725829948e+44,
-           1.1036532999132008e+46,
-           5.42233863980987e+45,
-           -2.2170477280872404e+44,
-           -1.3549744822323542e+43,
-           6.369610911789865e+42,
-           2.7895118082262815e+43,
-           6.15427087641121e+42,
-           -4.792451772891727e+43,
-           -4.6318430773643636e+38,
-           5.2654652084474243e+39,
-           -1.1034557435709688e+43,
-           -1.9911496805781103e+43,
-           -2.7766861897480915e+41,
-           6.074821477269868e+40,
-           1.850389730421213e+41,
-           -2.025199243998884e+45,
-           -4.334230485227012e+39,
-           3.716501255460095e+39,
-           1.8033916571000032e+41,
-           -3.4479134045449054e+39,
-           -4.877249990435865e+40,
-           8.921306641777389e+38,
-           7.159727059365336e+39,
-           8.895974668471712e+42,
-           -1.2253592799769057e+44,
-           8.450441676282184e+43,
-           4.030017112906037e+41,
-           -8.541893694627705e+42,
-           4.4318250266473015e+42,
-           -1.5564067458788274e+42,
-           7.739106140517533e+42,
-           -1.7214296122696133e+43,
-           -1.3364988372883892e+42,
-           9.426430342965526e+42,
-           6.2326218737390845e+38,
-           0,
-           -1.5174654676509694e+39,
-           -9.099083944214052e+43,
-           3.9355125957970865e+42,
-           3.857828534536414e+42,
-           6.56123970795974e+42,
-           1.0007235158942443e+44,
-           -5.031748418736235e+44,
-           -3.288257561342344e+42,
-           -1.526906726787092e+44,
-           -1.381150866504864e+44,
-           7.682093235777872e+45,
-           -3.367287785901581e+42,
-           -1.4139529682235332e+42,
-           -5.641190740023374e+43,
-           -1.2720331402847043e+44,
-           -1.526460455871769e+43,
-           2.6438136286842874e+41,
-           -5.161507011262781e+41,
-           -2.4832921926002836e+41,
-           1.8959772825582015e+42,
-           -2.4099754551974725e+44,
-           8.041541516097029e+43,
-           -2.274113947019672e+43,
-           -2.208779266773304e+42,
-           2.6313301957901298e+45,
-           -9.603712752213689e+44,
-           1.6954109616293643e+46,
-           -2.1774956699322192e+45,
-           -2.1288634889268358e+42,
-           -1.0240055282555547e+43,
-           -4.4516629460131126e+42,
-           3.7862497432914265e+42,
-           8.180783688616667e+45,
-           -2.1163591051413616e+45,
-           1.03220547392013e+46,
-           6.759223137052469e+42,
-           6.167886498619237e+43,
-           -1.828837629665172e+41,
-           -1.1112719554305036e+44,
-           -1.6431712986449835e+43,
-           -1.3132353179419065e+44,
-           -1.5955620006207044e+44,
-           9.733301922491795e+45,
-           -7.223608278241114e+44,
-           1.0310870779336167e+46,
-           4.789311660241936e+37,
-           -9.758924181150145e+43,
-           -1.9016545336929574e+44,
-           -3.34012383944732e+42,
-           6.793800147308952e+42,
-           -1.086402896564984e+45,
-           1.3837583702579408e+46,
-           9.78848135930156e+40,
-           -3.141443253521662e+41,
-           2.517558595567229e+41,
-           -8.761811216636633e+40,
-           -3.801105119772983e+42,
-           -4.6607514492855715e+42,
-           8.756613446625062e+39,
-           -1.2329503032959188e+41,
-           8.521119382482112e+40,
-           2.3183005972086026e+41,
-           1.084630380500978e+41,
-           -4.3132341635732205e+42,
-           -1.2798229293414894e+44,
-           -1.7415518824473214e+41,
-           2.426903889985578e+42,
-           -8.005358187434676e+41,
-           -2.5692855076847948e+42,
-           1.0001611390737809e+43,
-           4.3280487820783245e+43,
-           3.835737753474035e+37,
-           -2.0064611381457837e+36,
-           3.1178159406852406e+43,
-           -1.8379499463272402e+43,
-           -6.201769878754079e+42,
-           6.0048733192761525e+44,
-           -2.4711957666483193e+42,
-           -1.7539743614677489e+43,
-           -3.505981875537539e+42,
-           -1.484769672482479e+45,
-           -1.773719398772643e+45,
-           2.7448747469511612e+44,
-           7.059282062466431e+43,
-           -2.0418321078427047e+43,
-           5.038240477874394e+44,
-           3.069587440090649e+43,
-           3.7536961930965577e+43,
-           1.977108736806453e+42,
-           -1.1718091388689142e+41,
-           -5.924835009538062e+39,
-           8.434039392928679e+39,
-           -7.256426019315736e+40,
-           8.682580399477658e+43,
-           -6.972434115589344e+43,
-           -6.00650919322563e+43,
-           -1.758624444197081e+45,
-           3.088380503152175e+44,
-           -1.2986823609571535e+40,
-           -3.781078820944235e+41,
-           -2.125582229838644e+40,
-           -3.402716050663252e+40,
-           -2.155544180021214e+40,
-           4.2597491592183245e+41,
-           5.706295345434609e+41,
-           -8.881641583675292e+42,
-           -6.313831300076416e+42,
-           39178.998043,
-           39178.998043,
-           4.39885565081432e+42,
-           -3.453955155920853e+44,
-           -1.794510620007728e+39,
-           -3.449009472363694e+37,
-           1.1361883947663213e+38,
-           -4.68169166343388e+38,
-           -1.537714424309696e+43,
-           2.1601810145144957e+44,
-           -4.893199740723064e+44,
-           -6.198942619362843e+44,
-           3.84595452820105e+43,
-           2.0756598586164855e+42,
-           4.0255531155473837e+43,
-           9.581501152231202e+42,
-           3.9147230184020496e+44,
-           -1.0339390271329386e+43,
-           -2.7398541523715664e+44,
-           -7.79055946427509e+42,
-           -8.085525908446761e+42,
-           5.554361650853185e+43,
-           0,
-           0,
-           3.2113465317219367e+38,
-           1.9336696672944434e+38,
-           2.280421579414336e+44,
-           2.802517433511016e+41,
-           -1.3498405176461985e+43,
-           -3.5182856854277555e+43,
-           3.295686187069249e+43,
-           3.3237383371387685e+37,
-           0,
-           0,
-           5.2923307577426554e+36,
-           -3.676130041480647e+43,
-           1.1101340393735252e+43,
-           8.768898736640267e+43,
-           39178.998043,
-           -3.452592681348335e+39,
-           -3.205062692812036e+44,
-           3.0593211358171673e+40,
-           -9.557974197811087e+43,
-           2.922170858191243e+43,
-           4.603390496990818e+44,
-           8.657324390131202e+42,
-           1.1658072343253066e+43,
-           -2.419124929820371e+42,
-           1.0109033204488748e+37,
-           -3.9445379571631537e+37,
-           9.057032628700582e+37,
-           -1.6768562976326613e+44,
-           -4.1011394214489916e+42,
-           2.346346283474583e+36,
-           7.659723508086473e+43,
-           2.6990931593268918e+44,
-           2.0861696761918692e+45,
-           1.752078544594183e+45,
-           -1.1861692447295208e+40,
-           -1.0958281074324059e+39,
-           -4.204168584950205e+39,
-           1.3534881587320286e+39,
-           -1.019644211022931e+44,
-           -2.1623619312979596e+44,
-           -2.3879021017756726e+44,
-           3.1994047709118428e+41,
-           8.996510287563618e+43,
-           -9.292701264386159e+43,
-           -1.3118876847147809e+44,
-           -1.8176714925032752e+44,
-           39178.998043,
-           -1.776120889117286e+40,
-           2.4915180843576642e+42,
-           -1.1572765653204108e+43,
-           1.4318700347439334e+38,
-           -6.459574926073916e+38,
-           1.2492286683073276e+41,
-           -2.4409471503314875e+40,
-           -1.3404535086036403e+45,
-           1.8844827564216927e+45,
-           6.944970293508661e+43,
-           3.495882784292698e+44,
-           -1.5364450472212895e+42,
-           -9.334453107204544e+42,
-           4.0945471596591274e+41,
-           -3.171514239114648e+39,
-           3.2993933277445707e+41,
-           1.326740510818103e+38,
-           -9.736259211358494e+42,
-           -3.705768065661258e+45,
-           -3.0532456540772044e+44,
-           7.995702664486982e+38,
-           3.3290268622717835e+40,
-           3.900537168361359e+43,
-           5.63783896117159e+42,
-           -1.975850992747928e+42,
-           -7.436611005455304e+42,
-           7.362574450451047e+43,
-           7.028016463581853e+44,
-           -1.4865561187989898e+43,
-           -3.012320918546622e+45,
-           -6.758681964130903e+42,
-           -1.8776250261794915e+43,
-           5.546090854567315e+43,
-           2.164675588205482e+41,
-           0,
-           1.5997618748419353e+37,
-           -7.852649263893824e+43,
-           -3.608769643800519e+41,
-           -3.655263909926057e+39,
-           -8.627409801273485e+39,
-           5.195534553808166e+39,
-           1.7991548170267802e+38,
-           -2.853827399906305e+43,
-           1.2034164650247717e+45,
-           1.0469513883002384e+43,
-           2.2575203740311467e+43,
-           3.052395787420342e+42,
-           5.0220092017825503e+42,
-           1.8311140765697004e+40,
-           6.180295575975022e+40,
-           1.465790552168772e+41,
-           -1.826227823354411e+44,
-           6.783731851649486e+42,
-           6.688475660278705e+42,
-           -3.0673583909698315e+44,
-           -2.662148617851758e+43,
-           -2.7333127848854442e+44,
-           6.487349314194355e+43,
-           -8.765682867250218e+41,
-           -7.090681591198305e+43,
-           -5.100543764319341e+44,
-           -1.7523266628166091e+44,
-           1.2695546558532717e+46,
-           -1.0374205690752205e+47,
-           1.1259002404147688e+44,
-           -3.3733922723771616e+44,
-           1.8723140937580884e+45,
-           -3.3126989594884926e+37,
-           3.1520034324957767e+40,
-           -2.0188114469605143e+40,
-           -5.65841083478548e+40,
-           -5.161722413642058e+41,
-           1.0599633441952832e+46,
-           -5.085150099600077e+44,
-           1.4759689442931038e+40,
-           -1.996625267083334e+40,
-           8.322492668158772e+40,
-           -1.8962503044214454e+44,
-           -1.4908004106415002e+44,
-           -1.9998593597241018e+45,
-           6.30275841209233e+40,
-           4.55099052257533e+43,
-           -1.592029372708258e+45,
-           6.287054638132343e+42,
-           -4.7091588293640725e+44,
-           -5.713662414057076e+44,
-           -1.895560455717416e+43,
-           -1.6685981611126637e+38,
-           7.950608557290299e+40,
-           8.564215387472349e+41,
-           -1.6321019348533044e+39,
-           -5.234452096862851e+42,
-           -4.033923981896862e+42,
-           -4.551064593544007e+43,
-           4.3223346095498975e+37,
-           -8.553556407387486e+43,
-           -1.524042819507592e+43,
-           1.970445242369171e+42,
-           3.556429480094634e+38,
-           -4.589483764833879e+44,
-           -4.992141331937442e+43,
-           -1.4840636032238238e+42,
-           -2.7362908068777673e+41,
-           4.700958983406949e+43,
-           7.206176187768559e+42,
-           -2.301541355148592e+44,
-           2.241200726180209e+44,
-           39178.998043,
-           -2.051653880218144e+41,
-           39178.998043,
-           1.3292764885333704e+39,
-           2.5074295260740373e+41,
-           1.955696367497783e+42,
-           -6.036788348393784e+41,
-           -2.2610404309279013e+41,
-           -4.357122148744561e+42,
-           7.518328956272759e+37,
-           1.2451531550346656e+37,
-           1.1655865109060048e+43,
-           8.214985800885291e+40,
-           -7.643791603866205e+38,
-           4.77609613077037e+38,
-           -4.6588399630213995e+39,
-           1.9118822957511886e+39,
-           -1.9822789951857437e+41,
-           -1.3975746601381792e+45,
-           2.6112283413388205e+43,
-           -1.401327177929177e+43,
-           39178.998043,
-           39178.998043,
-           -4.123273167817142e+40,
-           -1.7608360743912358e+44,
-           -5.441442160068687e+44,
-           -3.878003284319045e+44,
-           0,
-           1.1730515439487141e+44,
-           0,
-           0,
-           7.374214936966749e+45,
-           5.587110365850732e+41,
-           7.580222715008597e+45,
-           3.00254112953479e+44,
-           -2.1450724115292684e+41,
-           -1.470196021956162e+41,
-           1.6937827786810985e+43,
-           -3.2654271263542916e+44,
-           -1.8204707178994323e+43,
-           -6.647437862635369e+42,
-           1.8045559698923255e+40,
-           5.388963886463272e+39,
-           -1.978059419715823e+39,
-           2.362704019089084e+39,
-           4.484484860389631e+41,
-           2.1075893100880954e+42,
-           0,
-           -3.6272923649237036e+44,
-           -2.5698853704087996e+42,
-           2.0269251590760277e+43,
-           6.450063683210905e+43,
-           -9.634750558409025e+37,
-           -1.0844541147982538e+39,
-           -1.3908155259159315e+38,
-           1.2339937611746228e+37,
-           -8.339308336575533e+38,
-           -1.8305490588343504e+38,
-           -4.962390067257501e+42,
-           6.185330756890478e+42,
-           4.501387392949879e+43,
-           2.705643843980368e+38,
-           -8.620995790086036e+38,
-           -1.2538324911984846e+40,
-           8.270013023644542e+44,
-           2.1140791044806817e+35,
-           -3.148606235412687e+38,
-           -2.0514838330657462e+41,
-           -1.4248856595577194e+40,
-           39178.998043,
-           -3.288513558753313e+41,
-           9.360169656503599e+37,
-           4.812843065783014e+38,
-           -5.992646921601673e+37,
-           6.743531614049926e+42,
-           1.5287193214399258e+43,
-           4.1929824879899294e+42,
-           8.025194967887439e+43,
-           0,
-           -2.189698394106856e+41,
-           5.72094551053624e+41,
-           2.6838091420045614e+43,
-           4.3957239632062414e+38,
-           -1.1953355671026292e+43,
-           -2.2472582976686357e+44,
-           -6.365899828215895e+38,
-           -1.2513175523757382e+40,
-           -2.9595743030516392e+44,
-           0,
-           0,
-           2.4878773818360405e+35,
-           1.7499547540025216e+41,
-           6.657177242350187e+43,
-           1.7169187293438821e+43,
-           2.8416278615780114e+43,
-           -1.819245306420406e+40,
-           -1.3287192396705139e+42,
-           4.570308312680581e+42,
-           5.263838503346144e+44,
-           0,
-           0,
-           1.3426576036791389e+43,
-           5.487691538399858e+42,
-           8.220737445153357e+42,
-           1.1787475872308156e+43,
-           4.8892107349507854e+44,
-           -1.599288627224123e+40,
-           2.3636293296342876e+37,
-           -1.595834225244175e+42,
-           -1.0255674044154628e+45,
-           1.3060610129076321e+44,
-           39178.998043,
-           2.9587174001252496e+37,
-           -1.1183726671610172e+43,
-           -3.0745823495380497e+43,
-           -4.0486777252534947e+43,
-           -8.823827694255485e+42,
-           -1.0155442868339115e+44,
-           -1.2423713740114476e+42,
-           39178.998043,
-           -2.7114814586788782e+44,
-           -3.886081939353941e+44,
-           -2.6187850533762998e+42,
-           -1.000558412011573e+41,
-           -2.111887786648245e+43,
-           -3.816047851410242e+42,
-           5.160216672036807e+43,
-           -1.5289689102408277e+43,
-           4.733075060984353e+43,
-           8.943375157738434e+43,
-           39178.998043,
-           -3.3068283300052875e+43,
-           6.955784394372669e+43,
-           7.694549442663598e+43,
-           8.336794938068314e+42,
-           1.3831464295793367e+42,
-           -7.969781028044762e+42,
-           -4.553240005337418e+43,
-           -1.2528887995827837e+44,
-           -1.8141724257546486e+43,
-           -4.3297529277535384e+42,
-           -1.0591521575734324e+44,
-           0,
-           0,
-           0,
-           1.9503460970237816e+43,
-           -4.466486108394874e+40,
-           0,
-           2.460776573366117e+43,
-           -4.477200133430212e+45,
-           -5.066443227423433e+44,
-           7.499327331018496e+43,
-           3.986560398889814e+37,
-           -7.068911928549942e+41,
-           5.0184970058956536e+41,
-           1.404046495029229e+43,
-           4.308000631207351e+40,
-           -2.5525335891163157e+44,
-           -5.433037865026808e+43,
-           -9.320173425783983e+43,
-           -2.551122821209884e+40,
-           2.5861871566040308e+42,
-           -1.0294960946425435e+43,
-           1.2527426779671818e+43,
-           1.287098561476273e+43,
-           -1.5936159902046293e+42,
-           4.32697680436258e+39,
-           -6.4947455267931415e+40,
-           -1.2616056418392115e+43,
-           4.512574106157367e+40,
-           1.0146199782537708e+38,
-           -5.975491406604375e+41,
-           5.756064410298624e+43,
-           5.237550707979098e+44,
-           1.9392805699321562e+38,
-           7.993936409104716e+42,
-           -1.0513047003419562e+42,
-           -3.0833737263062254e+38,
-           -9.714363746478723e+38,
-           0,
-           1.3284937399663194e+37,
-           -8.295565209787231e+42,
-           -3.242555267384807e+42,
-           7.902270481277261e+40,
-           6.204387411778243e+40,
-           6.789448273800443e+43,
-           4.3973412781889025e+43,
-           39178.998043,
-           -3.201146991588937e+37,
-           1.5016510510021003e+44,
-           5.645752877471417e+43,
-           7.722291884227824e+43,
-           39178.998043,
-           39178.998043,
-           39178.998043,
-           0,
-           2.183410784194122e+42,
-           6.93353038619768e+42,
-           -1.2531280394600736e+43,
-           2.543299528754044e+42,
-           2.6327428510882916e+41,
-           -7.784029998413734e+41,
-           -4.638444704751045e+41,
-           4.743394055092457e+43,
-           -1.8864631261022542e+42,
-           1.554996386320466e+40,
-           -2.8348609694406235e+37,
-           39178.998043,
-           39178.998043,
-           -4.211634926782804e+44,
-           -1.7148408084081898e+44,
-           1.4677472763766223e+44,
-           -1.1704044939116792e+43,
-           4.9879748557077615e+39,
-           1.3551238937946354e+41,
-           -1.4175181152946981e+44,
-           39178.998043,
-           -1.8330701573655583e+44,
-           0,
-           0,
-           0,
-           39178.998043,
-           -9.261327898950873e+43,
-           3.0382535125282964e+43,
-           -4.2394289996130823e+37,
-           -2.401244719884461e+41,
-           4.4987675067292105e+42,
-           1.895037966851609e+43,
-           5.478450654698708e+42,
-           1.4940560692740381e+43,
-           -1.460925076973971e+42,
-           -3.005890334311539e+41,
-           2.001516198830606e+43,
-           1.0853275666587061e+41,
-           -3.5268990381472695e+38,
-           2.9273912989016114e+44,
-           2.691782108987836e+43,
-           0,
-           0,
-           6.000113386880942e+43,
-           -1.6175968516225232e+43,
-           39178.998043,
-           4.5838294302679425e+38,
-           0,
-           0,
-           0,
-           -2.9613787787692476e+43,
-           4.4115828319447496e+36,
-           0,
-           2.629005265263733e+43,
-           -1.1629306708162563e+39,
-           -1.412625528512675e+39,
-           3.7617574818745454e+42,
-           -3.698687127012522e+41,
-           2.0059471795829555e+41,
-           -1.678922762115535e+41,
-           -2.0436908075007254e+42,
-           4.650201309045743e+40,
-           6.139896466679185e+42,
-           1.1551078433636346e+39,
-           -2.3315685441753476e+38,
-           2.5466896955723816e+42,
-           -1.913775302698656e+42,
-           0,
-           0,
-           6.477701097867758e+42,
-           3.293547371008937e+43,
-           2.22813036538002e+40,
-           7.0803185024446515e+40,
-           -3.022533870947158e+43,
-           -3.048729525870819e+41,
-           39178.998043,
-           0,
-           1.779765565392244e+40,
-           3.466685425742989e+43,
-           6.866363841559475e+43,
-           -2.543659794204213e+44,
-           5.000885473309796e+44,
-           7.076148266741163e+42,
-           -3.457726310287747e+44,
-           -3.358292925728559e+44,
-           1.8976470965026243e+40,
-           5.346676013551e+42,
-           -2.0265744163781746e+43,
-           39178.998043,
-           -4.878688220186485e+41,
-           5.401347842359418e+43,
-           7.281699808410123e+43,
-           39178.998043,
-           2.9064660927273605e+43,
-           3.769987880906863e+43,
-           1.8360252970209204e+41,
-           -1.5915661664606833e+43,
-           1.425430744581399e+43,
-           6.338423440370668e+37,
-           7.636600512635e+37,
-           -1.8867507681324835e+40,
-           7.387138844938381e+42,
-           -6.056282160052055e+38,
-           0,
-           5.780118028988565e+38,
-           3.166387080075537e+43,
-           -3.1889277803854604e+43,
-           1.0825890101844107e+43,
-           2.1326404849765855e+39,
-           0,
-           1.9170251310441534e+39,
-           -1.3017028941775778e+44,
-           4.946835029544322e+41,
-           5.94564559674225e+42,
-           -4.81927538479358e+42,
-           -3.9165285922976503e+40,
-           1.2351290976201609e+39,
-           2.502879823637484e+40,
-           5.304158170070498e+37,
-           -3.4496206011710992e+41,
-           0,
-           -2.7371535112603864e+44,
-           -1.407286134326929e+41,
-           4.614508487874808e+40,
-           1.8896752034941335e+37,
-           -2.4437469586043083e+41,
-           -1.690229978498245e+39,
-           2.5340399947199107e+41,
-           -1.1531625460162024e+42,
-           -9.53341748143993e+39,
-           1.3287320656763714e+43,
-           1.345835586141156e+42,
-           -3.0722910325586965e+41,
-           -1.1558978530932915e+43,
-           -1.1890137052002735e+42,
-           -2.0091659050776417e+44,
-           -2.4391926384951327e+41,
-           -1.1580994826947325e+44,
-           -2.609812209344232e+42,
-           4.918024361935406e+38,
-           -2.900825164343953e+43
-          ],
-          "colorbar": {
-           "thickness": 20,
-           "title": {
-            "text": "A"
-           }
-          },
-          "colorscale": [
-           [
-            0,
-            "#0508b8"
-           ],
-           [
-            0.08333333333333333,
-            "#1910d8"
-           ],
-           [
-            0.16666666666666666,
-            "#3c19f0"
-           ],
-           [
-            0.25,
-            "#6b1cfb"
-           ],
-           [
-            0.3333333333333333,
-            "#981cfd"
-           ],
-           [
-            0.4166666666666667,
-            "#bf1cfd"
-           ],
-           [
-            0.5,
-            "#dd2bfd"
-           ],
-           [
-            0.5833333333333334,
-            "#f246fe"
-           ],
-           [
-            0.6666666666666666,
-            "#fc67fd"
-           ],
-           [
-            0.75,
-            "#fe88fc"
-           ],
-           [
-            0.8333333333333334,
-            "#fea5fd"
-           ],
-           [
-            0.9166666666666666,
-            "#febefe"
-           ],
-           [
-            1,
-            "#fec3fe"
-           ]
-          ],
-          "size": 5
-         },
-         "mode": "markers",
-         "name": "A",
-         "type": "scatter3d",
-         "x": [
-          -2.101682662963867,
-          -1.887513518333435,
-          -1.7570427656173706,
-          -1.8541388511657715,
-          1.8749754428863525,
-          1.80832040309906,
-          2.1825294494628906,
-          2.062222480773926,
-          -2.38004469871521,
-          -2.3056769371032715,
-          -2.2629430294036865,
-          -2.0936312675476074,
-          -1.9997928142547607,
-          -1.7547287940979004,
-          -1.6898266077041626,
-          -1.6704288721084595,
-          3.5905017852783203,
-          3.2578799724578857,
-          3.160881519317627,
-          3.4964303970336914,
-          -0.6913178563117981,
-          -1.0443613529205322,
-          -0.8108569979667664,
-          -0.5850074887275696,
-          -0.293684720993042,
-          0.0675533190369606,
-          -0.271133154630661,
-          0.018742907792329788,
-          4.4305853843688965,
-          4.508673667907715,
-          4.325611114501953,
-          4.611989498138428,
-          3.4338648319244385,
-          3.488844871520996,
-          3.289395570755005,
-          3.6204428672790527,
-          3.71138858795166,
-          3.857684850692749,
-          3.974630117416382,
-          4.003854274749756,
-          -3.9132473468780518,
-          -4.0064496994018555,
-          -3.8273096084594727,
-          -3.709832191467285,
-          2.3001842498779297,
-          2.2914557456970215,
-          2.0052285194396973,
-          2.2628118991851807,
-          -1.980513334274292,
-          -2.0251479148864746,
-          -1.7515032291412354,
-          -2.1317431926727295,
-          3.794757843017578,
-          3.3874454498291016,
-          3.7147281169891357,
-          3.586693048477173,
-          -2.8868887424468994,
-          -3.001088857650757,
-          -2.9482247829437256,
-          -2.6325371265411377,
-          -4.134808540344238,
-          -3.772261619567871,
-          -4.165527820587158,
-          -3.994203805923462,
-          -4.163450241088867,
-          3.875136137008667,
-          3.7112133502960205,
-          3.765407085418701,
-          -2.4520857334136963,
-          -2.657001495361328,
-          -2.6662352085113525,
-          -2.8774945735931396,
-          3.942436933517456,
-          3.8352348804473877,
-          3.6082088947296143,
-          4.133811950683594,
-          -3.171978712081909,
-          -3.221795082092285,
-          -3.0311388969421387,
-          -2.9480156898498535,
-          4.4702277183532715,
-          4.6418352127075195,
-          4.766424655914307,
-          4.669127941131592,
-          -3.4734950065612793,
-          -3.1584713459014893,
-          -3.2440361976623535,
-          -3.3585245609283447,
-          -2.429314613342285,
-          -2.2996301651000977,
-          -2.1834332942962646,
-          -1.2482850551605225,
-          -0.8828672766685486,
-          -0.8636268973350525,
-          4.625131607055664,
-          5,
-          4.731442928314209,
-          4.639413356781006,
-          2.726271152496338,
-          2.482100486755371,
-          2.630417823791504,
-          2.613208293914795,
-          2.359410285949707,
-          2.4850215911865234,
-          2.0713677406311035,
-          2.9034955501556396,
-          3.2096197605133057,
-          3.0044784545898438,
-          3.031195640563965,
-          2.8652327060699463,
-          3.303494453430176,
-          -0.9179192781448364,
-          -1.1669803857803345,
-          -1.2644528150558472,
-          -1.0285327434539795,
-          -0.8682996034622192,
-          -1.0111645460128784,
-          -1.1425732374191284,
-          -0.9068978428840637,
-          1.6444306373596191,
-          1.5535091161727905,
-          1.877994418144226,
-          -4.233823299407959,
-          -4.286869049072266,
-          -4.4695281982421875,
-          -4.121842384338379,
-          -1.4972978830337524,
-          -0.9989351034164429,
-          -1.422027349472046,
-          -1.2346546649932861,
-          -2.2228097915649414,
-          -2.000976085662842,
-          -2.127882480621338,
-          -4.581174373626709,
-          -4.083948135375977,
-          2.5844061374664307,
-          2.6696746349334717,
-          2.439190149307251,
-          2.836972236633301,
-          3.768427848815918,
-          3.901214361190796,
-          4.03761625289917,
-          3.712953805923462,
-          3.7559714317321777,
-          3.856983184814453,
-          4.166917324066162,
-          -2.2912299633026123,
-          -2.089019775390625,
-          -1.982771635055542,
-          0.2804890275001526,
-          0.14649292826652527,
-          -0.02719704993069172,
-          0.35809698700904846,
-          -0.09706947952508926,
-          -0.06142881140112877,
-          -0.6113005876541138,
-          -0.263994425535202,
-          4.316342830657959,
-          4.358631610870361,
-          4.577394962310791,
-          4.1251115798950195,
-          2.637986421585083,
-          2.9547457695007324,
-          2.78865909576416,
-          1.622883915901184,
-          1.6951839923858643,
-          1.6690202951431274,
-          1.4459738731384277,
-          5,
-          1.4305493831634521,
-          1.2514207363128662,
-          1.230926275253296,
-          1.0252352952957153,
-          1.0430431365966797,
-          1.0417221784591675,
-          1.277311086654663,
-          0.8228275179862976,
-          -2.6111531257629395,
-          -0.8876737952232361,
-          -0.6530675888061523,
-          -0.8721553087234497,
-          -1.1404987573623657,
-          -3.7799670696258545,
-          -3.7419769763946533,
-          -3.7747626304626465,
-          -3.765298843383789,
-          -1.3552204370498657,
-          -1.448533058166504,
-          1.976080060005188,
-          2.3143045902252197,
-          2.006865978240967,
-          4.718459129333496,
-          5,
-          5,
-          5,
-          -0.21346406638622284,
-          -0.3900603652000427,
-          -0.7078602910041809,
-          2.546725273132324,
-          2.2419445514678955,
-          2.62286114692688,
-          2.31475830078125,
-          2.815099000930786,
-          0.17036111652851105,
-          0.35399267077445984,
-          0.22068481147289276,
-          0.5616357326507568,
-          2.168175220489502,
-          2.396758794784546,
-          2.032904624938965,
-          1.9458956718444824,
-          1.672920823097229,
-          -1.9237370491027832,
-          -1.7913600206375122,
-          -2.1189286708831787,
-          -4.244471549987793,
-          -4.725438117980957,
-          -4.62848424911499,
-          -4.6635870933532715,
-          -4.4014410972595215,
-          -0.39015352725982666,
-          -3.62326979637146,
-          -3.6562275886535645,
-          -3.3212900161743164,
-          -2.650617837905884,
-          -2.9336674213409424,
-          -2.5238282680511475,
-          -2.854623556137085,
-          3.359579563140869,
-          3.281346321105957,
-          3.4625306129455566,
-          -1.6233601570129395,
-          -1.4790972471237183,
-          3.500380516052246,
-          4.63165283203125,
-          4.554935932159424,
-          4.720632076263428,
-          -0.6211792826652527,
-          -0.9868704080581665,
-          -0.2744942903518677,
-          -0.23266896605491638,
-          -0.4965898394584656,
-          -0.32649561762809753,
-          -1.423138976097107,
-          -1.7905021905899048,
-          -1.4218405485153198,
-          -3.732257604598999,
-          -3.5719547271728516,
-          -3.941251754760742,
-          -3.9911673069000244,
-          2.76228666305542,
-          3.034092664718628,
-          2.5956602096557617,
-          3.0007383823394775,
-          -2.4493157863616943,
-          1.5511066913604736,
-          1.313583254814148,
-          0.09208802133798599,
-          0.2716134786605835,
-          0.33897581696510315,
-          -2.9448187351226807,
-          -3.1763267517089844,
-          -2.965965747833252,
-          2.055418014526367,
-          1.7646766901016235,
-          2.0915160179138184,
-          1.9841140508651733,
-          0.7309734225273132,
-          0.8535610437393188,
-          1.1015901565551758,
-          1.1043431758880615,
-          -3.231236696243286,
-          -3.466428518295288,
-          -3.2163987159729004,
-          1.5548237562179565,
-          -2.620222806930542,
-          -2.8454513549804688,
-          -2.381518602371216,
-          -1.7730915546417236,
-          -2.034778118133545,
-          -1.792545199394226,
-          0.23506808280944824,
-          0.15298357605934143,
-          -0.12086783349514008,
-          -0.0009967255173251033,
-          3.0469939708709717,
-          3.3803346157073975,
-          3.5396389961242676,
-          3.4276304244995117,
-          -3.4141626358032227,
-          -3.28906512260437,
-          -3.1413207054138184,
-          -2.9626805782318115,
-          -3.5331058502197266,
-          -2.7990610599517822,
-          -2.5825302600860596,
-          1.0379852056503296,
-          1.3705062866210938,
-          1.090142846107483,
-          1.1630381345748901,
-          -0.7285075783729553,
-          -0.5913762450218201,
-          -0.41392114758491516,
-          0.37851566076278687,
-          0.2083987444639206,
-          0.536102294921875,
-          4.585145950317383,
-          4.314233303070068,
-          4.690446853637695,
-          4.508464336395264,
-          0.5570757389068604,
-          0.7471429109573364,
-          0.8703640103340149,
-          0.735404372215271,
-          1.950286626815796,
-          -2.459625482559204,
-          -2.3318281173706055,
-          -4.318643569946289,
-          -2.7759718894958496,
-          -2.491568088531494,
-          -2.487426280975342,
-          3.034865140914917,
-          1.392642855644226,
-          3.841580390930176,
-          -1.7278932332992554,
-          -1.9114822149276733,
-          -1.5143166780471802,
-          -1.7121433019638062,
-          4.3564581871032715,
-          4.085196018218994,
-          4.489546298980713,
-          0.03738686069846153,
-          0.4072064459323883,
-          0.3515777885913849,
-          4.740171909332275,
-          5,
-          5,
-          -3.7102108001708984,
-          -3.5805227756500244,
-          -3.250467300415039,
-          -3.6381490230560303,
-          -5,
-          -4.672852039337158,
-          -5,
-          -5,
-          3.9007976055145264,
-          4.133395671844482,
-          4.175212860107422,
-          4.236222267150879,
-          1.3414992094039917,
-          1.545016884803772,
-          1.7293202877044678,
-          1.7089415788650513,
-          1.5792618989944458,
-          1.938088297843933,
-          -4.447057247161865,
-          -4.589023590087891,
-          -4.721797943115234,
-          -5,
-          -4.662319183349609,
-          -4.697544574737549,
-          -4.536230564117432,
-          5,
-          5,
-          5,
-          2.2066378593444824,
-          1.9319493770599365,
-          2.258507013320923,
-          2.2539353370666504,
-          2.732060194015503,
-          -2.9786436557769775,
-          -2.8140065670013428,
-          -2.7915046215057373,
-          -2.627666711807251,
-          0.9115676283836365,
-          -0.532065212726593,
-          -0.5675407648086548,
-          -0.5571060180664062,
-          -2.564318895339966,
-          -4.4288010597229,
-          -4.226881980895996,
-          -4.208695411682129,
-          -4.0041913986206055,
-          -4.3078436851501465,
-          -4.320655345916748,
-          2.809098720550537,
-          2.785369634628296,
-          5,
-          4.710524559020996,
-          5,
-          5,
-          -4.560494422912598,
-          -4.414031982421875,
-          -4.710155963897705,
-          0.027450760826468468,
-          -0.09511373937129974,
-          0.3111163377761841,
-          4.47791862487793,
-          4.311753749847412,
-          2.278442859649658,
-          2.3220880031585693,
-          1.0773473978042603,
-          0.6730288863182068,
-          1.7689932584762573,
-          1.6555397510528564,
-          1.9800528287887573,
-          2.0714244842529297,
-          -0.6446894407272339,
-          -0.43192827701568604,
-          -3.7548670768737793,
-          -3.300417423248291,
-          -1.1125221252441406,
-          -0.6115882396697998,
-          -2.978154420852661,
-          -3.3732173442840576,
-          -3.242103338241577,
-          1.2596628665924072,
-          -3.6130688190460205,
-          -3.133923292160034,
-          -3.3986732959747314,
-          -3.5859854221343994,
-          -3.520331621170044,
-          -3.851719617843628,
-          -3.865055561065674,
-          0.5590431690216064,
-          0.6265019774436951,
-          -0.03324676677584648,
-          2.4285573959350586,
-          2.5746889114379883,
-          2.7181601524353027,
-          2.378453016281128,
-          3.447817087173462,
-          2.445730209350586,
-          2.310244083404541,
-          2.6667962074279785,
-          -4.695241928100586,
-          -5,
-          -4.548861980438232,
-          -0.33884161710739136,
-          -0.5452479720115662,
-          -0.44265344738960266,
-          -1.2199991941452026,
-          -1.154729962348938,
-          -0.9447287917137146,
-          -0.8053910136222839,
-          3.9948537349700928,
-          3.997985601425171,
-          4.207438945770264,
-          2.2636070251464844,
-          2.816199541091919,
-          3.2298614978790283,
-          3.0754427909851074,
-          3.1898257732391357,
-          -2.0362820625305176,
-          -1.695935845375061,
-          -2.8119935989379883,
-          -2.5727436542510986,
-          3.0221409797668457,
-          3.255614995956421,
-          3.368884563446045,
-          3.2635715007781982,
-          4.541206359863281,
-          3.801682472229004,
-          4.062766075134277,
-          3.6565608978271484,
-          2.893397092819214,
-          3.020784378051758,
-          2.637270450592041,
-          2.978060007095337,
-          0.706810474395752,
-          0.7772684097290039,
-          0.8003952503204346,
-          -0.22241777181625366,
-          -0.1280590295791626,
-          -2.9058010578155518,
-          -0.3929927349090576,
-          -1.6517680883407593,
-          4.374144554138184,
-          4.208742141723633,
-          1.0169200897216797,
-          0.6947392225265503,
-          0.6771532297134399,
-          -4.339812278747559,
-          3.8944802284240723,
-          3.9562127590179443,
-          2.033257246017456,
-          1.9155778884887695,
-          1.3438067436218262,
-          1.0825568437576294,
-          -1.7339566946029663,
-          -1.3611284494400024,
-          -1.3337901830673218,
-          -1.2508692741394043,
-          -2.2653911113739014,
-          -2.2419567108154297,
-          -3.1367833614349365,
-          -1.81843900680542,
-          -2.1527793407440186,
-          -1.6042685508728027,
-          -1.647326946258545,
-          4.628890037536621,
-          4.72548246383667,
-          2.286425828933716,
-          1.9910200834274292,
-          2.3555381298065186,
-          2.0931544303894043,
-          3.7614736557006836,
-          3.912747859954834,
-          -4.636204242706299,
-          -4.488008499145508,
-          0.4070380926132202,
-          -0.13350971043109894,
-          0.19662299752235413,
-          0.13111887872219086,
-          -0.7308740019798279,
-          -0.5450983643531799,
-          -0.6622709035873413,
-          0.003929497674107552,
-          0.24031925201416016,
-          -0.22965681552886963,
-          -0.0660269558429718,
-          -0.17119362950325012,
-          -0.18464888632297516,
-          -0.0036181053146719933,
-          -0.7095974087715149,
-          1.9864104986190796,
-          -2.5475826263427734,
-          -2.7074756622314453,
-          -2.891202926635742,
-          -2.509110927581787,
-          2.9578778743743896,
-          3.029849052429199,
-          2.3168818950653076,
-          3.536309242248535,
-          3.2530806064605713,
-          -3.741461992263794,
-          -2.821955680847168,
-          -3.082059383392334,
-          -2.9099485874176025,
-          -2.7286927700042725,
-          -0.6247063279151917,
-          -0.3622240722179413,
-          -0.4216044247150421,
-          1.6000310182571411,
-          5,
-          5,
-          -1.6445059776306152,
-          0.2146318256855011,
-          -4.1633453369140625,
-          -4.1257829666137695,
-          -3.817925214767456,
-          -3.784167766571045,
-          -1.2936067581176758,
-          1.8930131196975708,
-          1.5624295473098755,
-          1.5452696084976196,
-          -1.8079805374145508,
-          -1.6008325815200806,
-          1.2422401905059814,
-          1.4802297353744507,
-          1.4433354139328003,
-          1.5805444717407227,
-          0.7913298010826111,
-          2.578340768814087,
-          2.6075079441070557,
-          -0.813774585723877,
-          -5,
-          -5,
-          -4.7412261962890625,
-          -4.72172212600708,
-          1.3737642765045166,
-          1.2108287811279297,
-          1.3925875425338745,
-          1.4203695058822632,
-          0.5987880825996399,
-          -4.71983003616333,
-          -5,
-          -5,
-          -4.692821025848389,
-          1.909011960029602,
-          1.7303102016448975,
-          1.6846473217010498,
-          5,
-          -3.5527470111846924,
-          0.37845441699028015,
-          -1.9841102361679077,
-          3.145871162414551,
-          1.289706826210022,
-          0.7273845076560974,
-          0.720970630645752,
-          1.0219862461090088,
-          0.8861194849014282,
-          -4.596095085144043,
-          -4.253779888153076,
-          -4.743481159210205,
-          -1.5359901189804077,
-          3.121032953262329,
-          -4.488008499145508,
-          -1.1460216045379639,
-          4.6934332847595215,
-          4.375402450561523,
-          4.680056095123291,
-          -4.230134010314941,
-          -3.7863848209381104,
-          -4.4221673011779785,
-          -4.591073989868164,
-          4.1638264656066895,
-          4.340243339538574,
-          4.488320350646973,
-          -2.5075998306274414,
-          1.917682409286499,
-          4.661116600036621,
-          4.636397361755371,
-          4.488320350646973,
-          5,
-          -3.489121437072754,
-          -1.138638973236084,
-          -0.7274905443191528,
-          -4.574654579162598,
-          -4.382515907287598,
-          -3.1639509201049805,
-          -2.7766637802124023,
-          0.7139411568641663,
-          0.4993683397769928,
-          0.7703021764755249,
-          0.901824951171875,
-          -1.5355284214019775,
-          -2.1874425411224365,
-          -2.3504247665405273,
-          -4.327395915985107,
-          -2.3662376403808594,
-          -3.6765761375427246,
-          1.808962345123291,
-          4.351280689239502,
-          4.706614017486572,
-          -3.448230266571045,
-          -3.3269059658050537,
-          -1.3753197193145752,
-          -1.1046783924102783,
-          -1.4444420337677002,
-          0.29257264733314514,
-          0.009619895368814468,
-          0.32545214891433716,
-          0.23237977921962738,
-          1.4445356130599976,
-          -1.2714718580245972,
-          -1.4109042882919312,
-          4.735227108001709,
-          -3.157381772994995,
-          -5,
-          -4.624974727630615,
-          4.58084774017334,
-          4.646906852722168,
-          -4.253415107727051,
-          -3.6714272499084473,
-          -4.048503875732422,
-          -3.91367769241333,
-          -0.662963330745697,
-          -0.45707225799560547,
-          -0.3023490607738495,
-          -0.10872425138950348,
-          -0.40253975987434387,
-          -0.7720760107040405,
-          -2.228641986846924,
-          -2.0955162048339844,
-          -1.9311330318450928,
-          4.527668476104736,
-          4.4020185470581055,
-          4.253148078918457,
-          4.159819602966309,
-          0.06420236825942993,
-          4.135446548461914,
-          -0.9258043766021729,
-          -0.8058002591133118,
-          4.537054061889648,
-          4.744240760803223,
-          -0.8789688944816589,
-          0.3651331961154938,
-          0.7293714880943298,
-          -0.06956324726343155,
-          -0.08140537887811661,
-          1.721306324005127,
-          -3.6552634239196777,
-          -3.3976213932037354,
-          -3.114668607711792,
-          -2.9648706912994385,
-          -2.7460291385650635,
-          0.9609786868095398,
-          1.0764851570129395,
-          -2.625852346420288,
-          -2.673210859298706,
-          -2.3928139209747314,
-          3.227536678314209,
-          3.531540632247925,
-          3.7912299633026123,
-          3.446416139602661,
-          1.760624647140503,
-          1.2702659368515015,
-          1.4204895496368408,
-          1.1356712579727173,
-          1.1212012767791748,
-          -0.7966426014900208,
-          -4.596960067749023,
-          -2.358410358428955,
-          -2.481785297393799,
-          -2.317129611968994,
-          2.1517908573150635,
-          1.9424786567687988,
-          4.65165901184082,
-          -4.577237129211426,
-          3.162456750869751,
-          3.290433168411255,
-          3.418100118637085,
-          -3.9114646911621094,
-          0.9896045327186584,
-          -0.19112993776798248,
-          2.6939661502838135,
-          3.0167806148529053,
-          2.893794298171997,
-          3.0206243991851807,
-          1.2407162189483643,
-          -0.46050986647605896,
-          5,
-          4.663840293884277,
-          5,
-          -3.103480339050293,
-          -2.277939558029175,
-          -2.125932216644287,
-          -1.824216604232788,
-          -2.0925588607788086,
-          2.68068528175354,
-          -4.7859697341918945,
-          -4.575015544891357,
-          2.8520922660827637,
-          -3.2595419883728027,
-          -4.203586101531982,
-          -4.2565202713012695,
-          -3.767660140991211,
-          -3.32572078704834,
-          0.5733931660652161,
-          0.5859797596931458,
-          0.6658535599708557,
-          4.556863307952881,
-          5,
-          5,
-          -2.477255344390869,
-          0.25908347964286804,
-          0.25868678092956543,
-          0.49322885274887085,
-          -5,
-          -0.1877877414226532,
-          -5,
-          -5,
-          3.983049154281616,
-          -2.6407032012939453,
-          0.5915303230285645,
-          1.0867373943328857,
-          -1.214605450630188,
-          -1.4895960092544556,
-          2.3244974613189697,
-          1.0752484798431396,
-          3.5134105682373047,
-          3.492990732192993,
-          -4.003303050994873,
-          -4.055683612823486,
-          -4.244694709777832,
-          -4.091361999511719,
-          2.220043897628784,
-          2.544774293899536,
-          -5,
-          3.5021090507507324,
-          3.226494312286377,
-          1.4538578987121582,
-          0.25620901584625244,
-          -4.075596809387207,
-          -4.281928539276123,
-          -4.1883087158203125,
-          -4.555990695953369,
-          -4.334146976470947,
-          -4.165266990661621,
-          4.628626346588135,
-          4.596282482147217,
-          4.575169086456299,
-          -4.123189449310303,
-          -3.8626294136047363,
-          -3.69762921333313,
-          3.6556200981140137,
-          -4.1212477684021,
-          -3.785296678543091,
-          -1.9285658597946167,
-          -3.4919838905334473,
-          5,
-          -1.8179099559783936,
-          -4.580845355987549,
-          -4.697874546051025,
-          -4.374136447906494,
-          2.7386975288391113,
-          3.034958839416504,
-          2.8929836750030518,
-          2.8669273853302,
-          -5,
-          -1.5589079856872559,
-          1.9696201086044312,
-          3.9466171264648438,
-          -3.894467353820801,
-          -1.4353413581848145,
-          0.6438999772071838,
-          -3.559412717819214,
-          2.898449182510376,
-          4.226627349853516,
-          -5,
-          -5,
-          -4.580845355987549,
-          -2.0328192710876465,
-          4.1754069328308105,
-          4.199225902557373,
-          4.34015417098999,
-          -2.9041290283203125,
-          2.497323513031006,
-          -1.7650561332702637,
-          -0.5644856095314026,
-          -5,
-          -5,
-          3.0372588634490967,
-          3.8829185962677,
-          3.6070923805236816,
-          3.8541207313537598,
-          3.8192059993743896,
-          -2.6382784843444824,
-          -4.700376033782959,
-          2.501884937286377,
-          4.065597057342529,
-          1.0171412229537964,
-          5,
-          -4.651655673980713,
-          -0.8031032681465149,
-          1.2622673511505127,
-          1.2936519384384155,
-          1.369748592376709,
-          4.189074516296387,
-          4.076688766479492,
-          5,
-          0.7270625233650208,
-          0.995764970779419,
-          -0.8975422382354736,
-          -1.5903971195220947,
-          3.329392194747925,
-          3.4523019790649414,
-          -1.0810967683792114,
-          -0.5812257528305054,
-          2.644548177719116,
-          2.6585214138031006,
-          5,
-          3.7732388973236084,
-          0.9950934052467346,
-          0.8841180801391602,
-          3.8183670043945312,
-          -0.6460126042366028,
-          2.1103804111480713,
-          2.3608930110931396,
-          1.3835891485214233,
-          3.4795989990234375,
-          1.769286036491394,
-          1.7716087102890015,
-          -5,
-          -5,
-          -5,
-          -1.426405906677246,
-          -2.7312746047973633,
-          -5,
-          0.47139957547187805,
-          3.8471028804779053,
-          0.7896639108657837,
-          -1.2268297672271729,
-          -4.720064640045166,
-          2.7558088302612305,
-          3.023494243621826,
-          3.7829294204711914,
-          -1.891106128692627,
-          3.048088550567627,
-          0.008336871862411499,
-          0.07599930465221405,
-          -1.3721232414245605,
-          -1.032981276512146,
-          -0.6021665930747986,
-          1.735460877418518,
-          1.5383501052856445,
-          2.478435516357422,
-          -3.304556131362915,
-          -2.378432035446167,
-          -0.4857358932495117,
-          -2.097623586654663,
-          -3.2147445678710938,
-          -1.8128300905227661,
-          3.589271306991577,
-          3.373690366744995,
-          -3.5193681716918945,
-          3.53788161277771,
-          -1.1633410453796387,
-          -3.841488838195801,
-          -3.562544822692871,
-          -5,
-          -4.628747463226318,
-          -0.3776344060897827,
-          -1.9576623439788818,
-          -2.3299407958984375,
-          -2.3134829998016357,
-          0.5879091620445251,
-          0.39716675877571106,
-          5,
-          -4.527527809143066,
-          2.8390586376190186,
-          0.3319953382015228,
-          -0.2031165361404419,
-          5,
-          5,
-          5,
-          -5,
-          2.2759742736816406,
-          4.30157470703125,
-          -0.7995855808258057,
-          -0.05464247241616249,
-          -1.3260889053344727,
-          -1.0919172763824463,
-          -1.5666868686676025,
-          0.6270329356193542,
-          2.468057155609131,
-          -2.5841712951660156,
-          -4.339723110198975,
-          5,
-          5,
-          0.5067524909973145,
-          0.7723978161811829,
-          3.510948657989502,
-          4.363494873046875,
-          -3.0252578258514404,
-          -1.2719022035598755,
-          4.58084774017334,
-          5,
-          4.526966571807861,
-          -5,
-          -5,
-          -5,
-          5,
-          4.227243900299072,
-          4.085610389709473,
-          -4.363025188446045,
-          -1.356877088546753,
-          -1.0370725393295288,
-          1.1098798513412476,
-          -1.7669402360916138,
-          3.0309200286865234,
-          1.8378273248672485,
-          -1.0789508819580078,
-          1.8391550779342651,
-          0.4916764497756958,
-          -3.601686716079712,
-          -0.24966329336166382,
-          4.12544059753418,
-          -5,
-          -5,
-          1.536503791809082,
-          1.7359037399291992,
-          5,
-          -3.840538263320923,
-          -5,
-          -5,
-          -5,
-          4.124938011169434,
-          -4.646697998046875,
-          -5,
-          4.167131423950195,
-          -3.3831329345703125,
-          -3.5020036697387695,
-          3.266669988632202,
-          -0.9436191916465759,
-          -1.5299025774002075,
-          -1.982384204864502,
-          3.6774818897247314,
-          -2.2120511531829834,
-          -0.3448413610458374,
-          -3.386986017227173,
-          -3.1074790954589844,
-          -0.4411892294883728,
-          -0.3736647963523865,
-          -5,
-          -5,
-          -1.2011436223983765,
-          -1.1121392250061035,
-          -2.1613833904266357,
-          -2.2924811840057373,
-          3.104656934738159,
-          2.610442638397217,
-          5,
-          -5,
-          -2.3681676387786865,
-          3.672323226928711,
-          3.7326676845550537,
-          0.1613098382949829,
-          0.2413194328546524,
-          1.3728821277618408,
-          0.4339759051799774,
-          0.35695144534111023,
-          -2.493479013442993,
-          2.1896910667419434,
-          4.700502395629883,
-          5,
-          -1.016597032546997,
-          0.6210448145866394,
-          0.6637445688247681,
-          5,
-          -1.0216628313064575,
-          -0.23358485102653503,
-          3.3018922805786133,
-          1.8105369806289673,
-          0.955568790435791,
-          -3.7231528759002686,
-          -3.9804978370666504,
-          -1.2900493144989014,
-          4.1124267578125,
-          -3.540820360183716,
-          -5,
-          -3.8975656032562256,
-          1.2156816720962524,
-          0.7590240836143494,
-          3.5594608783721924,
-          -3.283069372177124,
-          -5,
-          -3.2769768238067627,
-          0.1670776754617691,
-          -0.7176233530044556,
-          0.9799598455429077,
-          1.3872452974319458,
-          -2.0572428703308105,
-          -3.3091535568237305,
-          -1.3487980365753174,
-          -4.625357627868652,
-          -2.012728691101074,
-          -5,
-          0.8194661736488342,
-          -1.579920768737793,
-          -1.5731505155563354,
-          -4.639402389526367,
-          -1.7494895458221436,
-          -3.0217342376708984,
-          -1.5556175708770752,
-          2.022423028945923,
-          -2.8629543781280518,
-          1.2468470335006714,
-          1.9912384748458862,
-          -1.0789836645126343,
-          -0.08867280930280685,
-          -1.3601857423782349,
-          0.519882321357727,
-          2.222944498062134,
-          0.5680000185966492,
-          2.373995542526245,
-          -2.9980807304382324,
-          3.2855708599090576
-         ],
-         "y": [
-          -0.9644528031349182,
-          -0.5014916062355042,
-          -0.9228641390800476,
-          -0.9955595135688782,
-          0.2492223083972931,
-          0.057115908712148666,
-          -0.16631139814853668,
-          -0.06584170460700989,
-          0.10396039485931396,
-          -0.31133314967155457,
-          -0.041115161031484604,
-          -0.04820563644170761,
-          -0.949433445930481,
-          -0.8801339268684387,
-          -0.5981799364089966,
-          -0.9736314415931702,
-          -0.43101099133491516,
-          -0.4243756830692291,
-          -0.4731490910053253,
-          -0.6577183604240417,
-          0.2146396040916443,
-          0.5974391102790833,
-          0.2125028818845749,
-          0.43337777256965637,
-          0.4884589910507202,
-          0.6967326402664185,
-          0.6029126048088074,
-          0.23680882155895233,
-          0.6917465329170227,
-          0.4850515127182007,
-          0.18376414477825165,
-          0.48162636160850525,
-          -0.6320042610168457,
-          -0.7730603814125061,
-          -0.9154437184333801,
-          -0.9334678649902344,
-          -0.937618613243103,
-          -0.6324880123138428,
-          -0.9645949602127075,
-          -0.8584909439086914,
-          -0.021662965416908264,
-          -0.19917190074920654,
-          -0.40617337822914124,
-          0.01375947892665863,
-          0.6443992257118225,
-          0.2646108865737915,
-          0.3110242187976837,
-          0.4987179636955261,
-          0.2822154462337494,
-          0.22283178567886353,
-          0.3027957081794739,
-          0.48568424582481384,
-          -0.004136862698942423,
-          0.24444110691547394,
-          0.3975219428539276,
-          0.06679671257734299,
-          0.3392251133918762,
-          0.4178438186645508,
-          0.0005444167763926089,
-          0.26371410489082336,
-          0.6860716342926025,
-          0.5389652252197266,
-          0.2810700237751007,
-          0.29595068097114563,
-          -0.0028515858575701714,
-          -0.914943516254425,
-          -0.8317362070083618,
-          -0.5160342454910278,
-          0.1723458170890808,
-          -0.24010129272937775,
-          0.11037452518939972,
-          -0.04924260079860687,
-          0.9950059056282043,
-          0.5880264043807983,
-          0.590488612651825,
-          0.6281570792198181,
-          -0.1020033061504364,
-          0.12514355778694153,
-          0.26880502700805664,
-          -0.06841706484556198,
-          0.07446050643920898,
-          -0.19104579091072083,
-          0.17392556369304657,
-          -0.010952293872833252,
-          0.8551027774810791,
-          0.8424614071846008,
-          0.4966377019882202,
-          0.9818977117538452,
-          -0.7847625613212585,
-          -0.3964613676071167,
-          -0.7274291515350342,
-          0.9931104183197021,
-          0.990178644657135,
-          0.9477092027664185,
-          -0.7309668660163879,
-          -0.8255475759506226,
-          -0.5082603693008423,
-          -0.8930004835128784,
-          0.4194926917552948,
-          0.20234280824661255,
-          0.382354199886322,
-          0.04821555316448212,
-          -0.22185000777244568,
-          -0.2684493958950043,
-          -0.2542339563369751,
-          -0.6113150715827942,
-          -0.749304473400116,
-          0.9967495203018188,
-          0.6226924657821655,
-          0.9509856700897217,
-          0.9614278674125671,
-          -0.5285993218421936,
-          -0.26093634963035583,
-          -0.44633013010025024,
-          -0.7162333726882935,
-          0.37243372201919556,
-          0.7037805914878845,
-          0.5981281399726868,
-          0.8595001101493835,
-          -0.2422453761100769,
-          -0.2717275023460388,
-          -0.342314749956131,
-          -0.36787569522857666,
-          -0.0067490083165466785,
-          -0.12062981724739075,
-          -0.10932574421167374,
-          0.7730425596237183,
-          0.7197641730308533,
-          0.5498804450035095,
-          0.8838788866996765,
-          -0.4682152271270752,
-          -0.8429638743400574,
-          -0.7152993083000183,
-          0.16587448120117188,
-          0.17635276913642883,
-          0.4282841980457306,
-          -0.06333015114068985,
-          0.0034832851961255074,
-          0.09057462960481644,
-          -0.7059872150421143,
-          -0.3774401545524597,
-          -0.6989597082138062,
-          -0.5003755688667297,
-          0.7566817402839661,
-          0.44234010577201843,
-          0.45263102650642395,
-          0.5166338682174683,
-          0.16024252772331238,
-          0.5950716137886047,
-          -0.18073487281799316,
-          0.0018878098344430327,
-          -0.2708609104156494,
-          -0.25196877121925354,
-          -0.11142797023057938,
-          -0.43370550870895386,
-          -0.15656259655952454,
-          -0.039399806410074234,
-          0.46687936782836914,
-          0.32242169976234436,
-          0.6205798983573914,
-          0.6568413972854614,
-          0.2932124137878418,
-          0.286562442779541,
-          0.5216072797775269,
-          -0.9623097777366638,
-          -0.9981469511985779,
-          -0.6364484429359436,
-          -0.9993236660957336,
-          -0.07432012259960175,
-          0.42001017928123474,
-          0.34383609890937805,
-          -0.08206897974014282,
-          0.17495545744895935,
-          -0.6187282204627991,
-          -0.17506438493728638,
-          -0.16744637489318848,
-          -0.3097870349884033,
-          -0.4293544590473175,
-          -0.34442025423049927,
-          -0.08278083801269531,
-          0.040901072323322296,
-          -0.20948979258537292,
-          -0.8171733617782593,
-          -0.6349214315414429,
-          -0.63686603307724,
-          -0.34542766213417053,
-          0.9818851351737976,
-          0.7231388688087463,
-          -0.4980590343475342,
-          -0.5276463031768799,
-          -0.6645891070365906,
-          0.6138550639152527,
-          0.7307949662208557,
-          0.565581202507019,
-          0.8974766731262207,
-          0.2210589051246643,
-          -0.04366305470466614,
-          0.2200208306312561,
-          0.9976720213890076,
-          0.9910743236541748,
-          0.04993176832795143,
-          0.2965986132621765,
-          0.3659362196922302,
-          -0.6525683999061584,
-          -0.4112653136253357,
-          -0.9211462140083313,
-          -0.8424838185310364,
-          -0.9637735486030579,
-          -0.9835269451141357,
-          -0.9970294237136841,
-          -0.9710226655006409,
-          -0.9704429507255554,
-          -0.000344896805472672,
-          0.21921929717063904,
-          -0.13210053741931915,
-          0.1057116687297821,
-          -0.5773980617523193,
-          -0.8491992354393005,
-          -0.9644528031349182,
-          -0.9644528031349182,
-          0.18421055376529694,
-          -0.34306600689888,
-          -0.6099089980125427,
-          -0.522908627986908,
-          0.5520397424697876,
-          0.6777611374855042,
-          0.7900189757347107,
-          0.8836524486541748,
-          0.998988151550293,
-          0.6972864270210266,
-          0.9325829744338989,
-          -0.7420949339866638,
-          -0.8717162013053894,
-          0.3239639103412628,
-          0.3646659553050995,
-          0.18762114644050598,
-          0.4323038160800934,
-          0.49042609333992004,
-          0.4172574579715729,
-          -0.4056946337223053,
-          -0.7565715909004211,
-          -0.8770694732666016,
-          -0.6713137626647949,
-          0.3914759159088135,
-          0.5560338497161865,
-          0.401335746049881,
-          0.6967827081680298,
-          0.5735718011856079,
-          0.9659417867660522,
-          0.4600377678871155,
-          -0.7376769781112671,
-          -0.7612969279289246,
-          -0.8649499416351318,
-          -0.9680713415145874,
-          -0.07136695086956024,
-          0.08702337741851807,
-          -0.0012019457062706351,
-          -0.40912172198295593,
-          -0.006982382852584124,
-          -0.2469279021024704,
-          0.2634161114692688,
-          0.19823867082595825,
-          0.6264614462852478,
-          -0.0895332545042038,
-          0.15487948060035706,
-          0.010749834589660168,
-          0.21317049860954285,
-          0.3579390347003937,
-          0.6785242557525635,
-          0.4390743672847748,
-          0.2672802209854126,
-          -0.8758218884468079,
-          -0.963442862033844,
-          -0.9812936782836914,
-          0.47073882818222046,
-          0.4233376085758209,
-          0.6527111530303955,
-          0.6982703804969788,
-          0.6721965670585632,
-          0.9104544520378113,
-          0.8594658970832825,
-          0.9712696671485901,
-          0.7178391218185425,
-          0.9804772734642029,
-          0.9899379014968872,
-          -0.272844135761261,
-          -0.23376643657684326,
-          -0.262163907289505,
-          0.03704443946480751,
-          -0.4075758457183838,
-          -0.7010478377342224,
-          -0.20673303306102753,
-          -0.5571584105491638,
-          -0.8706849217414856,
-          -0.48726165294647217,
-          -0.2910931706428528,
-          -0.002765015931800008,
-          0.05970108136534691,
-          0.3084672689437866,
-          0.15337669849395752,
-          -0.6174674034118652,
-          -0.6328142881393433,
-          -0.5624826550483704,
-          0.1400715708732605,
-          0.3191937208175659,
-          0.02131892368197441,
-          -0.09887219220399857,
-          -0.13459566235542297,
-          0.031372569501399994,
-          -0.23347316682338715,
-          -0.1083475649356842,
-          0.10015857964754105,
-          -0.15261906385421753,
-          -0.3190996050834656,
-          0.5962103009223938,
-          0.944227933883667,
-          0.6263585686683655,
-          -0.03721585124731064,
-          -0.14064188301563263,
-          -0.12287423759698868,
-          0.1620333045721054,
-          0.051118478178977966,
-          0.025942236185073853,
-          0.9509856700897217,
-          0.07660112529993057,
-          -0.2148650735616684,
-          -0.2792571783065796,
-          -0.3916383981704712,
-          -0.5475131869316101,
-          -0.3573049306869507,
-          -0.5381907820701599,
-          0.5642790794372559,
-          0.39763057231903076,
-          0.4926196038722992,
-          0.6876794695854187,
-          0.9853602051734924,
-          0.9853602051734924,
-          0.2784459888935089,
-          0.33439427614212036,
-          0.3757942020893097,
-          0.5680580735206604,
-          -0.202531099319458,
-          0.04602264240384102,
-          0.1253708153963089,
-          -0.053822703659534454,
-          -0.09523261338472366,
-          -0.3647562861442566,
-          0.055967457592487335,
-          -0.18043585121631622,
-          -0.36183372139930725,
-          -0.26616132259368896,
-          0.5843426585197449,
-          0.7874525785446167,
-          0.3204408586025238,
-          0.46942922472953796,
-          -0.3549381494522095,
-          -0.15470989048480988,
-          -0.28662583231925964,
-          -0.45677778124809265,
-          -0.14482297003269196,
-          -0.3699699342250824,
-          -0.31996339559555054,
-          0,
-          0.03902474418282509,
-          -0.4207833707332611,
-          0.5997176170349121,
-          0.34521904587745667,
-          0.260562002658844,
-          0.301216721534729,
-          -0.39678168296813965,
-          -0.9933051466941833,
-          -0.48806899785995483,
-          -0.9801273941993713,
-          -0.9932265877723694,
-          -0.00268577691167593,
-          -0.4860992431640625,
-          -0.718903660774231,
-          -0.22610677778720856,
-          0.40737977623939514,
-          0.7242735624313354,
-          0.9194390773773193,
-          0.992190957069397,
-          0.5167772769927979,
-          -0.8444285988807678,
-          -0.6822850704193115,
-          0.6697694063186646,
-          0.9455884695053101,
-          -0.563209056854248,
-          -0.6827536821365356,
-          -0.6466551423072815,
-          -1,
-          0.00808846578001976,
-          -0.21341004967689514,
-          -0.08499597012996674,
-          -0.22998903691768646,
-          -0.6067743301391602,
-          -0.49108201265335083,
-          -0.5265984535217285,
-          -0.9826362729072571,
-          -0.23542766273021698,
-          -0.2631172835826874,
-          -0.38973894715309143,
-          -0.510794460773468,
-          0.614811897277832,
-          0.9284683465957642,
-          0.980880856513977,
-          0.6759928464889526,
-          0.7887943387031555,
-          0.334210067987442,
-          0.8685921430587769,
-          0.9433988928794861,
-          0.3017013370990753,
-          0.322925865650177,
-          0.0030513221863657236,
-          -0.08400421589612961,
-          0.1492752730846405,
-          0.15100379288196564,
-          0.2531687021255493,
-          0.22673995792865753,
-          0.08318476378917694,
-          -0.09412675350904465,
-          -0.10312476009130478,
-          0.00051957240793854,
-          0.1938382387161255,
-          -0.429431289434433,
-          -0.6668448448181152,
-          0.27889484167099,
-          -0.9699349999427795,
-          -0.6830593347549438,
-          -0.9178845286369324,
-          -0.8040575385093689,
-          -0.03522491827607155,
-          0.586391270160675,
-          0.9315357804298401,
-          0.7273709177970886,
-          0.23738005757331848,
-          0.16160446405410767,
-          0.196137934923172,
-          0.6648127436637878,
-          0.9904631972312927,
-          0.9321214556694031,
-          -0.9826473593711853,
-          -0.5793296098709106,
-          -0.5139965415000916,
-          -0.9829296469688416,
-          0.10490112006664276,
-          0.26333707571029663,
-          0.015549364499747753,
-          0.7950919270515442,
-          -0.22844749689102173,
-          0.08410408347845078,
-          -0.014554033055901527,
-          -0.40973183512687683,
-          -0.6088537573814392,
-          -0.7200993895530701,
-          -0.25975117087364197,
-          -0.05376914516091347,
-          0.25696367025375366,
-          -0.02727169543504715,
-          -0.9200538992881775,
-          -0.9851748943328857,
-          0.2039009928703308,
-          -0.18674251437187195,
-          -0.0373150035738945,
-          0.0003531149122864008,
-          0.7743528485298157,
-          0.49138516187667847,
-          0.8453116416931152,
-          0.8113861680030823,
-          -0.2243531048297882,
-          0.17102263867855072,
-          0.13133029639720917,
-          -0.8719936609268188,
-          -0.7000458240509033,
-          -0.5028141736984253,
-          0.5621294975280762,
-          -0.48999398946762085,
-          1,
-          0.9576523303985596,
-          -0.41538330912590027,
-          -0.5296134352684021,
-          -0.5272583365440369,
-          0.26668936014175415,
-          0.9760602116584778,
-          0.874788224697113,
-          -0.8827227354049683,
-          -0.9637153744697571,
-          -0.5040878057479858,
-          -0.27172648906707764,
-          0.274967223405838,
-          -0.01066218875348568,
-          0.29421308636665344,
-          0.1539771407842636,
-          0.15297439694404602,
-          0.35023635625839233,
-          -0.21796944737434387,
-          0.8537461161613464,
-          0.9835426211357117,
-          0.9496530294418335,
-          0.9985606074333191,
-          -0.2221001833677292,
-          0.4310095012187958,
-          0.6029019355773926,
-          0.7001603841781616,
-          0.8360967636108398,
-          0.519031286239624,
-          -0.9936496019363403,
-          -0.9828091859817505,
-          0.26668936014175415,
-          0.5236851572990417,
-          0.49962037801742554,
-          0.5692272782325745,
-          0.22008033096790314,
-          0.2918113172054291,
-          -0.005608721170574427,
-          0.03870052844285965,
-          0.26892536878585815,
-          -0.1814487725496292,
-          0.06543553620576859,
-          0.08210965245962143,
-          -0.09493392705917358,
-          0.23452402651309967,
-          0.04021294042468071,
-          -0.09652941673994064,
-          0.6716895699501038,
-          0.8282829523086548,
-          -0.5790790915489197,
-          -0.7159784436225891,
-          -0.874889612197876,
-          -0.9411375522613525,
-          -0.25209754705429077,
-          -0.6056337356567383,
-          -0.4996890425682068,
-          0.268974632024765,
-          0.4170511066913605,
-          0.2456361949443817,
-          0.17661170661449432,
-          -0.6461558938026428,
-          -0.8366621732711792,
-          -0.9373155832290649,
-          0.6573933362960815,
-          0.764940083026886,
-          0.4581672251224518,
-          0.012059792876243591,
-          -0.36481741070747375,
-          0.047285694628953934,
-          -0.19150404632091522,
-          -0.06492480635643005,
-          0.2849947214126587,
-          0.49767422676086426,
-          0.28277072310447693,
-          0.54390949010849,
-          0.1638433039188385,
-          -0.31062552332878113,
-          -0.08801092207431793,
-          -0.47230759263038635,
-          -0.2938145399093628,
-          -0.0704847201704979,
-          0.6260424852371216,
-          0.39466437697410583,
-          0.31425905227661133,
-          0.7220942974090576,
-          -0.7903173565864563,
-          0.2835279703140259,
-          0.6021785140037537,
-          0.5951641798019409,
-          0.3522506654262543,
-          0.5202761888504028,
-          0.6336329579353333,
-          0.44877156615257263,
-          0.5989428758621216,
-          0.9741127490997314,
-          0.9952908158302307,
-          0.6856418251991272,
-          -0.18962796032428741,
-          0.14198823273181915,
-          0.027870045974850655,
-          -0.2665543556213379,
-          -0.12062981724739075,
-          -0.35000452399253845,
-          -0.6031556725502014,
-          -0.7968862652778625,
-          -0.9509775042533875,
-          0.2576938569545746,
-          -0.17726917564868927,
-          0.9844260215759277,
-          -0.4435259699821472,
-          -0.1699523627758026,
-          0.6966899037361145,
-          0.9935153722763062,
-          0.994518518447876,
-          0.9067777991294861,
-          -0.9979760646820068,
-          -0.9827584624290466,
-          -0.01198972761631012,
-          0.004887382499873638,
-          0.9262871146202087,
-          -0.011220625601708889,
-          0.20926238596439362,
-          0.08175507932901382,
-          0.13949643075466156,
-          0.24324852228164673,
-          0.2432398945093155,
-          -0.03161051869392395,
-          0.41032442450523376,
-          0.5218767523765564,
-          -0.1977277398109436,
-          0.07446050643920898,
-          -0.20594902336597443,
-          -0.3251917064189911,
-          -0.6149249076843262,
-          0.4732542634010315,
-          0.07446050643920898,
-          0.3481038212776184,
-          0.22188933193683624,
-          0.2149362415075302,
-          -0.24006293714046478,
-          -0.2876802384853363,
-          0.41702282428741455,
-          0.19047819077968597,
-          -0.2501949965953827,
-          -0.15160758793354034,
-          0.43379339575767517,
-          0.0909355953335762,
-          0.451621413230896,
-          0.5065004825592041,
-          -0.9908729195594788,
-          -0.08206022530794144,
-          -0.027877792716026306,
-          0.5542229413986206,
-          -0.38842886686325073,
-          0.9741654992103577,
-          -0.3724351227283478,
-          -0.1986246407032013,
-          -0.3232215344905853,
-          0.7665350437164307,
-          0.5796975493431091,
-          -0.6754114627838135,
-          -0.8743530511856079,
-          -0.8580234050750732,
-          0.7657902240753174,
-          0.6770547032356262,
-          0.5566800236701965,
-          0.935212254524231,
-          -0.584112286567688,
-          0.017612561583518982,
-          -0.36803585290908813,
-          -0.5247402191162109,
-          0.4970661997795105,
-          -0.6998907327651978,
-          -0.5846438407897949,
-          0.9509856700897217,
-          0.8254937529563904,
-          0.6614059805870056,
-          0.5184406042098999,
-          -0.5043556690216064,
-          -0.8817981481552124,
-          -0.6980621218681335,
-          -0.3875381350517273,
-          -0.9762217998504639,
-          -0.9982428550720215,
-          0.2067089080810547,
-          0.11346746981143951,
-          0.01595616154372692,
-          -0.2828061878681183,
-          0.014170551672577858,
-          0.6205798983573914,
-          -0.8973569869995117,
-          -0.7388009428977966,
-          -0.5494065880775452,
-          -0.8166348338127136,
-          0.5313565731048584,
-          -0.004518178757280111,
-          0.48383238911628723,
-          -0.4977671205997467,
-          -0.11393170058727264,
-          -0.1845625638961792,
-          -0.3601009249687195,
-          -0.314405232667923,
-          0.48286524415016174,
-          0.20714795589447021,
-          0.040663253515958786,
-          -0.9531037211418152,
-          -0.26953038573265076,
-          -0.4040994942188263,
-          -0.26528051495552063,
-          0.23274151980876923,
-          -0.6318374872207642,
-          -0.9665676951408386,
-          0.005913611501455307,
-          0.49386274814605713,
-          0.23279796540737152,
-          0.24144552648067474,
-          0.3414899408817291,
-          0.30328240990638733,
-          -0.9941494464874268,
-          -0.3179697096347809,
-          -0.25289952754974365,
-          -0.4826950430870056,
-          -0.992070198059082,
-          -0.9115789532661438,
-          -0.5940829515457153,
-          -0.5463100671768188,
-          -0.9485341310501099,
-          -0.6519872546195984,
-          -0.9987034797668457,
-          -0.5913269519805908,
-          -0.7342608571052551,
-          1,
-          0.45685240626335144,
-          -0.0836566612124443,
-          -0.5427722334861755,
-          -0.2221001833677292,
-          -0.9979760646820068,
-          -0.7426897883415222,
-          0.4536954462528229,
-          -0.5354653596878052,
-          -0.5605345368385315,
-          -0.24477224051952362,
-          -0.31265220046043396,
-          -0.8582495450973511,
-          -0.2184845358133316,
-          -0.8255475759506226,
-          -0.8973569869995117,
-          -0.9509775042533875,
-          0.7109987735748291,
-          -0.3486618995666504,
-          -0.5666218400001526,
-          0.0820944681763649,
-          0.28015971183776855,
-          -0.9690587520599365,
-          -0.6733459830284119,
-          -0.929873526096344,
-          0.05627104640007019,
-          -0.5349896550178528,
-          -0.49556639790534973,
-          -0.2316868156194687,
-          -0.2666398584842682,
-          -0.5846438407897949,
-          0.9041470885276794,
-          0.34881946444511414,
-          0.73880535364151,
-          -0.4977671205997467,
-          -0.620514452457428,
-          0.3705782890319824,
-          -0.3981460928916931,
-          -0.7447241544723511,
-          -0.5671089291572571,
-          -0.7126420140266418,
-          0.3201524019241333,
-          -0.9361801147460938,
-          -0.021949056535959244,
-          0.26071488857269287,
-          0.11704500019550323,
-          -0.09812191873788834,
-          -0.6564890742301941,
-          0.5860076546669006,
-          0.23305492103099823,
-          0.1070864275097847,
-          0.02329915389418602,
-          -0.2407625913619995,
-          0.3414646089076996,
-          0.6114945411682129,
-          0.0007608749438077211,
-          -0.18877489864826202,
-          -0.06473154574632645,
-          -0.5393319725990295,
-          -0.37636464834213257,
-          -0.2776724100112915,
-          0.407381534576416,
-          0.5711175799369812,
-          0.10242214798927307,
-          -0.5774988532066345,
-          0.5009621977806091,
-          0.7229906320571899,
-          0.5307389497756958,
-          0.8771102428436279,
-          -0.6564419269561768,
-          -0.41044551134109497,
-          -0.6564419269561768,
-          -0.7309668660163879,
-          -0.9828091859817505,
-          -0.9828091859817505,
-          -0.31996339559555054,
-          0.02778959460556507,
-          -0.18145851790905,
-          -0.4760945737361908,
-          -0.6159340143203735,
-          -0.5961918830871582,
-          -0.6848282217979431,
-          -0.251895934343338,
-          0.29486724734306335,
-          0.40002304315567017,
-          0.9899379014968872,
-          0.7229412794113159,
-          0.9807852506637573,
-          -0.7337335348129272,
-          -0.8108888864517212,
-          -0.5162743926048279,
-          -0.6094732284545898,
-          -0.9194790720939636,
-          0.5308945178985596,
-          0.01500244252383709,
-          -0.7993972897529602,
-          0.9984241127967834,
-          -0.012843931093811989,
-          -0.8668404221534729,
-          0.990543007850647,
-          0.0920555591583252,
-          -0.31916898488998413,
-          0.9374285340309143,
-          0.7959373593330383,
-          0.8754876255989075,
-          -0.8362293243408203,
-          -0.6582773923873901,
-          -0.9916395545005798,
-          -0.8973569869995117,
-          0.061656251549720764,
-          0.5361354351043701,
-          0.36971715092658997,
-          -0.4583832919597626,
-          -0.46862149238586426,
-          -0.9807852506637573,
-          -0.9511585831642151,
-          -0.27999889850616455,
-          0.038460005074739456,
-          0.1938815712928772,
-          0.19310392439365387,
-          0.5270761847496033,
-          0.5389652252197266,
-          -0.5263717770576477,
-          0.31121960282325745,
-          0.13053779304027557,
-          0.2712872624397278,
-          0.9807852506637573,
-          -0.97075355052948,
-          0.9580817818641663,
-          0.7310782670974731,
-          0.5388161540031433,
-          0.9519411325454712,
-          0.8434329628944397,
-          -0.4833066761493683,
-          -0.20707954466342926,
-          -0.5099445581436157,
-          -0.6608012318611145,
-          -0.018839603289961815,
-          -0.7309668660163879,
-          -0.5254232883453369,
-          0.3551715314388275,
-          -0.21630725264549255,
-          -0.39276570081710815,
-          -0.07621423900127411,
-          0.02646898478269577,
-          0.3646659553050995,
-          0.8563774824142456,
-          0.5865227580070496,
-          0.46233615279197693,
-          0.8343841433525085,
-          -0.8973569869995117,
-          -0.5947028398513794,
-          -0.8064454793930054,
-          0.570570170879364,
-          0.5161767601966858,
-          0.48175233602523804,
-          0.4885003864765167,
-          -0.38643592596054077,
-          -0.4773034155368805,
-          -0.38785600662231445,
-          0.8576608896255493,
-          -0.9899351596832275,
-          0.9875081777572632,
-          -0.1636705994606018,
-          -0.9172571897506714,
-          -0.16427050530910492,
-          -0.4349454939365387,
-          -0.9953550100326538,
-          -0.9971668124198914,
-          0.6962160468101501,
-          0.5453452467918396,
-          -0.05568347126245499,
-          -0.6601232290267944,
-          -0.842789351940155,
-          -0.2496166080236435,
-          -0.8420789837837219,
-          -0.8744059801101685,
-          -0.834104597568512,
-          -0.9026780724525452,
-          0.9523860216140747,
-          0.9934259653091431,
-          -0.7173683643341064,
-          -0.9974165558815002,
-          0.3086850345134735,
-          -0.8398857116699219,
-          -0.2520681619644165,
-          -0.2881055772304535,
-          -0.17640793323516846,
-          -0.8340798020362854,
-          0.803859293460846,
-          -0.5375675559043884,
-          -0.35286054015159607,
-          -0.40147092938423157,
-          -0.5391048192977905,
-          -0.4075758457183838,
-          -0.06929513067007065,
-          0.4999752938747406,
-          0.5083998441696167,
-          0.7683452367782593,
-          0.44873738288879395,
-          0.1870150864124298,
-          0.44929590821266174,
-          0.7604588270187378,
-          -0.253332257270813,
-          0.7990961074829102,
-          -0.4588089883327484,
-          -0.36481741070747375,
-          -0.2928994297981262,
-          -0.620514452457428,
-          -0.8754743337631226,
-          -0.6474624276161194,
-          -0.7147241830825806,
-          -0.8206048011779785,
-          0.8667620420455933,
-          0.8917268514633179,
-          0.9518074989318848,
-          -0.5455569624900818,
-          0.06518997251987457,
-          -0.1746850311756134,
-          0.711083710193634,
-          -0.7957763075828552,
-          -0.23037903010845184,
-          0.4979412853717804,
-          -0.9531556367874146,
-          -0.9841888546943665,
-          0.04183444380760193,
-          0.8254937529563904,
-          0.9814017415046692,
-          -0.5506122708320618,
-          0.9509856700897217,
-          0.8974766731262207,
-          0.8271036744117737,
-          0.6565945744514465,
-          0.5882179737091064,
-          0.4074084758758545,
-          0.1779918372631073,
-          0.8254937529563904,
-          0.3646659553050995,
-          0.6998251676559448,
-          -0.25461456179618835,
-          -0.16163697838783264,
-          0.5031144618988037,
-          0.056570108979940414,
-          0.4599801003932953,
-          0.22676178812980652,
-          -0.27921000123023987,
-          -0.5993555784225464,
-          0.9872598648071289,
-          -0.1492013782262802,
-          -0.11010982096195221,
-          0.08578278124332428,
-          -0.176510289311409,
-          0.12077020108699799,
-          -0.08411595970392227,
-          0.9915391802787781,
-          0.7307949662208557,
-          0.8754876255989075,
-          -0.2441762387752533,
-          -0.14552778005599976,
-          -0.2168065309524536,
-          -0.4977671205997467,
-          0.6998251676559448,
-          0.5844343304634094,
-          -0.4977671205997467,
-          -0.5964337587356567,
-          0.16315852105617523,
-          0.7636315226554871,
-          0.265627384185791,
-          0.9430791139602661,
-          0.6161730289459229,
-          0.9977315664291382,
-          0.9039280414581299,
-          -0.06703191250562668,
-          0.4994438886642456,
-          0.4858933091163635,
-          0.9834839701652527,
-          0.880670964717865,
-          0.8490715026855469,
-          0.9645264744758606,
-          -0.9836878776550293,
-          0.020235415548086166,
-          0.6966110467910767,
-          0.9339800477027893,
-          0.5601944327354431,
-          -0.00601609330624342,
-          0.22188933193683624,
-          0.06982731819152832,
-          0.42058631777763367,
-          -0.20701900124549866,
-          -0.5002540349960327,
-          -0.9948720335960388,
-          -0.6225435733795166,
-          0.29936158657073975,
-          -0.9993430376052856,
-          -0.8705465197563171,
-          0.9978688955307007,
-          0.9816693663597107,
-          -0.2221001833677292,
-          -0.07432012259960175,
-          0.005510379560291767,
-          0.93561190366745,
-          0.769040584564209,
-          0.4979412853717804,
-          0.09552592039108276,
-          -0.4952143132686615,
-          0.8628236055374146,
-          0.891992449760437,
-          0.3251786231994629,
-          -0.9622695446014404,
-          -0.9051315188407898,
-          0.6972473859786987,
-          -0.9227719902992249,
-          -0.9991018772125244,
-          0.9954250454902649,
-          -0.2867448031902313,
-          0.40268635749816895,
-          0.14126500487327576,
-          0.9529435634613037,
-          0.6507450938224792,
-          0.27342158555984497,
-          -0.9639715552330017,
-          -0.971455454826355,
-          0.9434934258460999,
-          0.7417119145393372,
-          0.922407329082489,
-          0.7960216403007507,
-          0.39301806688308716,
-          0.44151046872138977,
-          0.9164034128189087,
-          -0.45337846875190735,
-          -0.7604051232337952,
-          -0.9881238341331482,
-          0.3329641819000244,
-          0.5564926266670227,
-          -0.7899213433265686,
-          0.7021987438201904,
-          -0.9409090876579285,
-          0.8222968578338623,
-          -0.1262354850769043,
-          0.9899379014968872,
-          0.8101232051849365,
-          0.4139884412288666,
-          0.4850161373615265,
-          0.8455127477645874,
-          -0.7117887139320374,
-          -0.9599732160568237,
-          0.32545220851898193,
-          -0.017274606972932816,
-          0.0917535200715065,
-          0.9274268746376038,
-          0.7069732546806335
-         ],
-         "z": [
-          0.24893133342266083,
-          0.06961314380168915,
-          0.38458311557769775,
-          0.045085154473781586,
-          -0.2524856626987457,
-          -0.6164182424545288,
-          -0.4557993710041046,
-          -0.09390309453010559,
-          -0.6660021543502808,
-          -0.5890951156616211,
-          -0.9959505200386047,
-          -0.6060599088668823,
-          -0.298443466424942,
-          -0.4645257592201233,
-          -0.23048292100429535,
-          -0.21867342293262482,
-          -0.31317806243896484,
-          0.07732536643743515,
-          -0.3414348065853119,
-          -0.05248579755425453,
-          -0.10382933914661407,
-          -0.019813725724816322,
-          0.2175561636686325,
-          0.13014905154705048,
-          0.40530869364738464,
-          0.7156205773353577,
-          0.7926167249679565,
-          0.4570474326610565,
-          -0.13187628984451294,
-          0.12653519213199615,
-          -0.22819986939430237,
-          -0.3281902074813843,
-          0.28013405203819275,
-          0.6267420649528503,
-          0.39846572279930115,
-          0.3510749340057373,
-          -0.33739176392555237,
-          -0.18817365169525146,
-          -0.24846261739730835,
-          -0.5050169229507446,
-          -0.5259588956832886,
-          -0.26771974563598633,
-          -0.446445107460022,
-          -0.248659148812294,
-          0.24804984033107758,
-          0.18279309570789337,
-          0.03786000609397888,
-          -0.07831154018640518,
-          -0.20537401735782623,
-          0.22865191102027893,
-          0.03590712696313858,
-          0.0510106198489666,
-          -0.5112490653991699,
-          -0.4819660484790802,
-          -0.5647855401039124,
-          -0.9934210777282715,
-          -0.9370624423027039,
-          -0.3811916410923004,
-          -0.5316653251647949,
-          -0.5263366103172302,
-          -0.7243698835372925,
-          -0.8403451442718506,
-          -0.5899010300636292,
-          -0.9501896500587463,
-          -0.9997191429138184,
-          0.3994015157222748,
-          0.5550714731216431,
-          0.1366790235042572,
-          0.33598801493644714,
-          0.49225300550460815,
-          0.6483957171440125,
-          0.3165377676486969,
-          0.05070596933364868,
-          0.3658945858478546,
-          0.07349245995283127,
-          0.02135220356285572,
-          0.9899535775184631,
-          0.6588714122772217,
-          0.9584241509437561,
-          0.7039474248886108,
-          0.9926663041114807,
-          0.5769069790840149,
-          0.6764622330665588,
-          0.998921275138855,
-          0.5113556385040283,
-          0.5350059866905212,
-          0.4005412459373474,
-          0.18379539251327515,
-          -0.6124829649925232,
-          -0.916515052318573,
-          -0.6823439002037048,
-          0.06995134800672531,
-          -0.09971776604652405,
-          0.30412760376930237,
-          -0.678033173084259,
-          -0.5627862811088562,
-          -0.42405495047569275,
-          -0.4404540956020355,
-          -0.22640195488929749,
-          -0.2587750554084778,
-          -0.5708564519882202,
-          -0.5173807144165039,
-          -0.9726678133010864,
-          -0.6065524220466614,
-          -0.9628442525863647,
-          -0.060457516461610794,
-          0.07383366674184799,
-          0.033002905547618866,
-          -0.26771634817123413,
-          -0.29332637786865234,
-          -0.2589031755924225,
-          0.4012563228607178,
-          0.6697467565536499,
-          0.37911468744277954,
-          0.6959860324859619,
-          -0.3439806401729584,
-          -0.709836483001709,
-          -0.36161622405052185,
-          -0.5031288266181946,
-          -0.37700721621513367,
-          -0.027168434113264084,
-          0.1186046227812767,
-          0.9283714294433594,
-          0.6873116493225098,
-          0.9881190061569214,
-          0.9892323613166809,
-          0.6267638206481934,
-          0.6916837096214294,
-          0.3116864562034607,
-          0.45751941204071045,
-          -0.30098357796669006,
-          -0.5340659618377686,
-          -0.070583276450634,
-          0.9836627840995789,
-          0.9826307892799377,
-          0.2885918915271759,
-          0.23875781893730164,
-          -0.0010253038490191102,
-          -0.01305148471146822,
-          -0.7080255746841431,
-          -0.5416524410247803,
-          -0.7137928605079651,
-          -0.8609718084335327,
-          -0.6466995477676392,
-          -0.22543102502822876,
-          -0.46304792165756226,
-          0.40055951476097107,
-          0.5511629581451416,
-          0.4643996059894562,
-          -0.24696844816207886,
-          0.0023746946826577187,
-          -0.121971994638443,
-          0.09900698065757751,
-          0.24953289330005646,
-          0.22445939481258392,
-          0.10599268972873688,
-          -0.02011456899344921,
-          0.4988115429878235,
-          0.9421597123146057,
-          0.7781175374984741,
-          0.7483584880828857,
-          -0.9510202407836914,
-          -0.5498870611190796,
-          -0.8496232032775879,
-          -0.25599583983421326,
-          -0.018814457580447197,
-          0.0450722798705101,
-          0.006867034826427698,
-          0.9926801323890686,
-          -0.33451950550079346,
-          -0.6014363765716553,
-          -0.3249167501926422,
-          -0.42981573939323425,
-          -0.7796371579170227,
-          -0.6329610347747803,
-          -0.9835079908370972,
-          -0.9459924101829529,
-          -0.5039926767349243,
-          -0.4338308274745941,
-          -0.25865885615348816,
-          -0.6047350168228149,
-          -0.20979124307632446,
-          0.5729902386665344,
-          0.7663477659225464,
-          0.29461243748664856,
-          0.5809187293052673,
-          -0.18392319977283478,
-          0.020668039098381996,
-          -0.27200955152511597,
-          0.03924412652850151,
-          0.0195060633122921,
-          0.3324436545372009,
-          0.6782426834106445,
-          0.17382746934890747,
-          0.4320796728134155,
-          0.20146599411964417,
-          0.37333109974861145,
-          0.5286331176757812,
-          -0.02363656461238861,
-          -0.0906238928437233,
-          0.5550857782363892,
-          0.5451454520225525,
-          0.5945549011230469,
-          -0.7518652677536011,
-          -0.5248426795005798,
-          -0.387797087430954,
-          -0.5349641442298889,
-          -0.25117042660713196,
-          0.1672535389661789,
-          -0.030160700902342796,
-          0.2272733896970749,
-          0.22918443381786346,
-          0.0007958645583130419,
-          -0.47246626019477844,
-          -0.26326435804367065,
-          -0.2667330503463745,
-          0.2950707972049713,
-          0.5224003791809082,
-          0.24893133342266083,
-          0.24893133342266083,
-          -0.3438313901424408,
-          0.2669813930988312,
-          -0.05906572937965393,
-          0.3875717222690582,
-          0.2657814919948578,
-          0.7311900854110718,
-          0.6060779690742493,
-          0.45794302225112915,
-          -0.010273333638906479,
-          0.1575591117143631,
-          0.3539920449256897,
-          -0.6644736528396606,
-          -0.48027414083480835,
-          -0.9416919350624084,
-          0.9293450713157654,
-          0.4946977198123932,
-          0.5810832977294922,
-          0.8662898540496826,
-          0.9053993225097656,
-          0.5155513882637024,
-          0.6468337774276733,
-          0.4702588617801666,
-          0.11277738958597183,
-          -0.048379454761743546,
-          -0.2031347006559372,
-          -0.4603961706161499,
-          -0.1806602030992508,
-          0.10649269074201584,
-          0.24402277171611786,
-          0.22087182104587555,
-          0.6698569059371948,
-          0.6410759091377258,
-          0.4929329752922058,
-          0.23700262606143951,
-          -0.37436285614967346,
-          -0.2582411468029022,
-          0.000663433806039393,
-          -0.9097479581832886,
-          -0.6664299368858337,
-          -0.9650605320930481,
-          0.4332942068576813,
-          0.19210495054721832,
-          0.2930695116519928,
-          0.23533089458942413,
-          0.6286520957946777,
-          0.6442918181419373,
-          0.34618571400642395,
-          -0.006241363473236561,
-          0.1833106428384781,
-          0.29168185591697693,
-          -0.002174111781641841,
-          0.47259294986724854,
-          0.25226056575775146,
-          0.1899283230304718,
-          0.1295872926712036,
-          -0.14776815474033356,
-          -0.007787336595356464,
-          0.1263086497783661,
-          0.15495635569095612,
-          0.40780001878738403,
-          0.5031928420066833,
-          0.22645917534828186,
-          0.04210563376545906,
-          0.1961057186126709,
-          -0.10216209292411804,
-          0.28054866194725037,
-          0.4921416640281677,
-          0.18888798356056213,
-          0.29682838916778564,
-          0.9105742573738098,
-          0.7120792269706726,
-          0.46320977807044983,
-          0.830166220664978,
-          0.48220357298851013,
-          -0.8679813146591187,
-          -0.9516631364822388,
-          0.47452154755592346,
-          0.7259277701377869,
-          0.6084266901016235,
-          0.9848937392234802,
-          -0.23830050230026245,
-          -0.76807701587677,
-          -0.44848307967185974,
-          -0.24442195892333984,
-          0.0057609472423791885,
-          0.04943608120083809,
-          -0.038206059485673904,
-          -0.20376498997211456,
-          -0.33428671956062317,
-          -0.4373824894428253,
-          -0.42244595289230347,
-          -0.6520264744758606,
-          -0.36086952686309814,
-          -0.6188114285469055,
-          0.1818607598543167,
-          -0.31560376286506653,
-          -0.2107848972082138,
-          -0.6734336614608765,
-          0.9861479997634888,
-          0.9878979325294495,
-          0.9840410947799683,
-          0.34084373712539673,
-          -0.6104958653450012,
-          0.29332637786865234,
-          0.6329606175422668,
-          0.4734562635421753,
-          0.6387461423873901,
-          0.9190930128097534,
-          -0.34333351254463196,
-          -0.19907696545124054,
-          -0.007516813464462757,
-          0.35606294870376587,
-          0.5664986968040466,
-          0.2380324900150299,
-          0.02087165042757988,
-          0.1486402451992035,
-          -0.1486402451992035,
-          -0.5884139537811279,
-          -0.24894261360168457,
-          -0.5900663137435913,
-          -0.4645562767982483,
-          0.22966508567333221,
-          0.30052053928375244,
-          0.25223761796951294,
-          0.4725068509578705,
-          0.9906204342842102,
-          0.53376704454422,
-          0.5839667320251465,
-          0.9822286367416382,
-          -0.5414755940437317,
-          -0.959226131439209,
-          -0.8078566789627075,
-          -0.6092051267623901,
-          -0.634707510471344,
-          -0.5340558290481567,
-          0.20579388737678528,
-          0.5619252324104309,
-          0.020743170753121376,
-          -0.8842752575874329,
-          -0.9857361912727356,
-          -0.5279218554496765,
-          -0.9429054260253906,
-          0,
-          -0.4684806168079376,
-          -0.21044278144836426,
-          -0.7952387928962708,
-          -0.9352442026138306,
-          -0.9609246850013733,
-          -0.4732184112071991,
-          0.23765499889850616,
-          -0.0679740384221077,
-          -0.14824911952018738,
-          0.19725912809371948,
-          -0.06877187639474869,
-          -0.07851611077785492,
-          0.8686026334762573,
-          0.6927322745323181,
-          0.6234987378120422,
-          0.5488587021827698,
-          -0.19145558774471283,
-          -0.3909909725189209,
-          -0.07928632199764252,
-          -0.3109854459762573,
-          0.5313256978988647,
-          0.03555777668952942,
-          0.0490003265440464,
-          0.31111860275268555,
-          0.10442136228084564,
-          0.17511685192584991,
-          -0.11836609244346619,
-          0,
-          -0.01821127161383629,
-          -0.3708040714263916,
-          -0.2981916069984436,
-          -0.46162664890289307,
-          -0.1726837307214737,
-          -0.123359814286232,
-          0.4126456081867218,
-          0.17629684507846832,
-          0.43020865321159363,
-          -0.16406390070915222,
-          -0.29134809970855713,
-          -0.3465260863304138,
-          -0.1638673096895218,
-          -0.36755621433258057,
-          -0.19412018358707428,
-          -0.2797713577747345,
-          0.6075701713562012,
-          0.654580295085907,
-          -0.4861188530921936,
-          -0.31833672523498535,
-          -0.5780981779098511,
-          -0.6000235080718994,
-          -0.004480898380279541,
-          0.06860040128231049,
-          -0.24482126533985138,
-          0.28688132762908936,
-          -0.9631673693656921,
-          -0.971184492111206,
-          -0.5911328792572021,
-          -0.9907293319702148,
-          0.5847785472869873,
-          0.9999487996101379,
-          0.5352766513824463,
-          -0.8988922834396362,
-          -0.7401489019393921,
-          0.9553634524345398,
-          -0.23085886240005493,
-          -0.11746350675821304,
-          -0.3938993215560913,
-          -0.5889719724655151,
-          -0.2792058289051056,
-          -0.3732108473777771,
-          -0.3574441075325012,
-          -0.6824148297309875,
-          -0.22026440501213074,
-          -0.5700737833976746,
-          -0.5176344513893127,
-          0.12050525844097137,
-          -0.09682867676019669,
-          -0.35551348328590393,
-          -0.17618408799171448,
-          -0.2755252420902252,
-          0.04571164771914482,
-          -0.17331843078136444,
-          -0.9896681308746338,
-          -0.6911693215370178,
-          -0.5965977907180786,
-          -0.5998966097831726,
-          -0.9706664681434631,
-          -0.9917164444923401,
-          -0.6897068619728088,
-          -0.9094218611717224,
-          0.78774094581604,
-          0.6912752389907837,
-          0.0785423144698143,
-          0.016106540337204933,
-          -0.22879524528980255,
-          0.013991397805511951,
-          -0.38984066247940063,
-          -0.15052154660224915,
-          -0.5829851031303406,
-          -0.23330901563167572,
-          0.059916771948337555,
-          0.0003111835103482008,
-          0.6251672506332397,
-          0.31113284826278687,
-          0.5296736359596252,
-          -0.5800420045852661,
-          0.5752048492431641,
-          0.6355389952659607,
-          0.25313037633895874,
-          -0.47975510358810425,
-          -0.7129015326499939,
-          0.2674548923969269,
-          -0.20113208889961243,
-          0.3797936737537384,
-          1.1691379777549558e-15,
-          -0.2713494598865509,
-          0.40313920378685,
-          0.845343828201294,
-          0.39367449283599854,
-          -0.9590659737586975,
-          -0.2106667459011078,
-          -0.47452685236930847,
-          -0.4596824049949646,
-          -0.25136223435401917,
-          0.15601640939712524,
-          0.08271649479866028,
-          0.9565548896789551,
-          0.7303852438926697,
-          0.6288405656814575,
-          0.9848345518112183,
-          -0.09036430716514587,
-          -0.42064154148101807,
-          -0.9738449454307556,
-          -0.5138938426971436,
-          -0.16709473729133606,
-          -0.2977195680141449,
-          0.014614290557801723,
-          0.9725919365882874,
-          -0.593136191368103,
-          0.7926254868507385,
-          0.7128075361251831,
-          0.5469134449958801,
-          0.4639262855052948,
-          -0.06447644531726837,
-          0.17454104125499725,
-          -0.9590659737586975,
-          -0.8485125303268433,
-          -0.8613754510879517,
-          -0.8202615976333618,
-          -0.9732046723365784,
-          -0.44705015420913696,
-          -0.9994475841522217,
-          -0.7387363910675049,
-          -0.9583876729011536,
-          0.5713192224502563,
-          0.6820598244667053,
-          0.6784961819648743,
-          0.9906498193740845,
-          -0.9688231945037842,
-          -0.6363033056259155,
-          -0.9904927015304565,
-          -0.09575266391038895,
-          -0.5594531893730164,
-          0.3919374942779541,
-          0.6962965726852417,
-          0.4743371605873108,
-          0.32579144835472107,
-          -0.036251384764909744,
-          0.30545035004615784,
-          -0.3993871510028839,
-          -0.16404372453689575,
-          -0.05687348172068596,
-          0.06529530882835388,
-          -0.2403002232313156,
-          -0.21965867280960083,
-          -0.5458555817604065,
-          -0.33839061856269836,
-          -0.7479055523872375,
-          -0.6366367340087891,
-          -0.8835325837135315,
-          -0.998812198638916,
-          0.9292991161346436,
-          0.5906811952590942,
-          0.1568344235420227,
-          0.329791784286499,
-          0.6214436292648315,
-          0.8624156713485718,
-          0.9541876912117004,
-          0.8377023935317993,
-          0.16098438203334808,
-          0.5198801755905151,
-          0.4614923894405365,
-          0.4828778803348541,
-          -0.4090541899204254,
-          -0.6571433544158936,
-          0.7736345529556274,
-          0.9174755811691284,
-          0.5050711035728455,
-          0.6888444423675537,
-          -0.6057143807411194,
-          0.9539580345153809,
-          0.7932191491127014,
-          0.3558451235294342,
-          -0.294318825006485,
-          -0.43747037649154663,
-          -0.2859049141407013,
-          -0.5471164584159851,
-          0.3661544919013977,
-          0.21708662807941437,
-          0.047813039273023605,
-          -0.10936380922794342,
-          -0.9813233017921448,
-          0.6716124415397644,
-          0.9972550272941589,
-          0.9591069221496582,
-          0.9881190061569214,
-          -0.5873571634292603,
-          -0.7924172282218933,
-          -0.597710132598877,
-          -0.2933533787727356,
-          0.6591892242431641,
-          0.982540488243103,
-          0.15812546014785767,
-          0.5574328303337097,
-          0.3088320791721344,
-          -0.15484392642974854,
-          0.06583964824676514,
-          0.0556543804705143,
-          -0.41467854380607605,
-          -0.020549282431602478,
-          -0.17505614459514618,
-          -0.6844256520271301,
-          -0.14388316869735718,
-          0.37474673986434937,
-          -0.9988948702812195,
-          -0.18562301993370056,
-          0.21414516866207123,
-          0.1545124351978302,
-          -0.0718170553445816,
-          0.09742579609155655,
-          0.2770216763019562,
-          -0.1361367404460907,
-          0.23760713636875153,
-          -0.979985237121582,
-          -0.9926663041114807,
-          -0.9774913191795349,
-          -0.16620796918869019,
-          0.3408176600933075,
-          -0.8754684329032898,
-          -0.9926663041114807,
-          -0.9343691468238831,
-          -0.9726558923721313,
-          0.3258844017982483,
-          -0.6285980939865112,
-          -0.9526984095573425,
-          0.5530601739883423,
-          0.4029441475868225,
-          -0.15432234108448029,
-          -0.25908252596855164,
-          0.4096115529537201,
-          0.43439316749572754,
-          -0.8870314359664917,
-          -0.41186952590942383,
-          0.09266889840364456,
-          0.2557157576084137,
-          0.6775721907615662,
-          -0.4413914978504181,
-          0.13172948360443115,
-          0.21691279113292694,
-          -0.9269883036613464,
-          0.30631664395332336,
-          0.21891158819198608,
-          -0.6346932053565979,
-          -0.3447767496109009,
-          0.130438894033432,
-          0.47534096240997314,
-          0.5058916211128235,
-          -0.6356008052825928,
-          -0.24553059041500092,
-          -0.17978045344352722,
-          -0.34532439708709717,
-          -0.2420850694179535,
-          -0.4619636535644531,
-          -0.4826432168483734,
-          0.5221319198608398,
-          0.029748890548944473,
-          -0.7130288481712341,
-          -0.8076095581054688,
-          0.29332637786865234,
-          0.5628518462181091,
-          0.06730208545923233,
-          0.4723880887031555,
-          -0.12552547454833984,
-          -0.4614121615886688,
-          0.08412102609872818,
-          -0.13070812821388245,
-          -0.2101341336965561,
-          0.01784065179526806,
-          0.9772608280181885,
-          0.9888244271278381,
-          0.998428463935852,
-          0.9541769623756409,
-          0.9986042976379395,
-          -0.7781175374984741,
-          0.43230360746383667,
-          0.6684873104095459,
-          0.2304299771785736,
-          -0.5736464858055115,
-          -0.844412088394165,
-          0.00047851071576587856,
-          -0.8698142766952515,
-          -0.8623660206794739,
-          -0.6524214744567871,
-          0.4876599907875061,
-          0.41059526801109314,
-          0.11519432067871094,
-          0.027569491416215897,
-          -0.18464042246341705,
-          0.07333831489086151,
-          -0.28634411096572876,
-          -0.628840982913971,
-          -0.4625285863876343,
-          -0.7084884643554688,
-          0.13881811499595642,
-          0.013083233498036861,
-          -0.2419593632221222,
-          -0.9994175434112549,
-          -0.8644529581069946,
-          -0.969346821308136,
-          0.6237660050392151,
-          0.3980129659175873,
-          0.07845746725797653,
-          0.059401463717222214,
-          0.9435102343559265,
-          0.6205036044120789,
-          0.8704222440719604,
-          0.0805128887295723,
-          0.40569618344306946,
-          0.7998630404472351,
-          -0.15637905895709991,
-          -0.30140817165374756,
-          -0.10545636713504791,
-          0.013164041563868523,
-          -0.8021248579025269,
-          -0.674019455909729,
-          1.1381953347961641e-15,
-          0.8842353820800781,
-          0.70960932970047,
-          0.8383103013038635,
-          0.9725919365882874,
-          -0.020549282431602478,
-          0.6637487411499023,
-          -0.4817539155483246,
-          0.842215895652771,
-          0.827395498752594,
-          0.5711965560913086,
-          0.9451232552528381,
-          -0.505468487739563,
-          -0.5622516870498657,
-          0.5627862811088562,
-          0.43230360746383667,
-          0.2933533787727356,
-          -0.7023643851280212,
-          0.5701262354850769,
-          0.32938721776008606,
-          -0.9919143915176392,
-          -0.9549797773361206,
-          0.23374751210212708,
-          0.026159776374697685,
-          -0.36292386054992676,
-          0.9944577813148499,
-          0.021349981427192688,
-          -0.4515495300292969,
-          -0.0596543550491333,
-          -0.054855652153491974,
-          -0.8076095581054688,
-          -0.4196002781391144,
-          -0.4410720765590668,
-          -0.6684819459915161,
-          0.8623660206794739,
-          0.7781712412834167,
-          -0.4617902934551239,
-          0.9156145453453064,
-          0.6612699031829834,
-          0.8220000267028809,
-          0.7003620862960815,
-          0.9428480863571167,
-          0.3421337604522705,
-          0.009491427801549435,
-          -0.024708475917577744,
-          -0.243136465549469,
-          -0.6658512353897095,
-          0.05885906517505646,
-          -0.12039002776145935,
-          -0.9692688584327698,
-          -0.9894528985023499,
-          -0.712857186794281,
-          0.9669307470321655,
-          0.9363831281661987,
-          0.7855737209320068,
-          0.0020480032544583082,
-          0.48156502842903137,
-          0.23229436576366425,
-          0.2777603268623352,
-          0.9257963299751282,
-          0.6556273102760315,
-          -0.9106780886650085,
-          -0.3095446527004242,
-          0.9899122714996338,
-          -0.8134732842445374,
-          0.8606582283973694,
-          0.6877522468566895,
-          0.4117426872253418,
-          0.4701825976371765,
-          0.7486863732337952,
-          0.544661283493042,
-          0.7486863732337952,
-          0.678033173084259,
-          0.17454104125499725,
-          -0.17454104125499725,
-          -0.9429054260253906,
-          -0.9972629547119141,
-          -0.7024728059768677,
-          0.484409362077713,
-          -0.7819303274154663,
-          -0.7981323003768921,
-          -0.7253903150558472,
-          -0.28735053539276123,
-          0.36599305272102356,
-          -0.9146113395690918,
-          -0.10216209292411804,
-          0.01893974095582962,
-          0.19509032368659973,
-          -0.6746619939804077,
-          -0.580647885799408,
-          -0.8524736762046814,
-          -0.38539648056030273,
-          0.3909161388874054,
-          0.8446590304374695,
-          -0.9985224008560181,
-          0.5946504473686218,
-          -0.01600003056228161,
-          0.40821167826652527,
-          0.48939603567123413,
-          -0.09601835906505585,
-          -0.9909332990646362,
-          -0.5974749326705933,
-          0.33801841735839844,
-          0.5988664031028748,
-          0.47321829199790955,
-          0.5466654896736145,
-          -0.08516772836446762,
-          -0.08488517999649048,
-          -0.43230360746383667,
-          -0.9939273595809937,
-          -0.8418577313423157,
-          0.37960660457611084,
-          0.3056824207305908,
-          -0.3595028221607208,
-          -0.19509032368659973,
-          -0.29275640845298767,
-          -0.9550285339355469,
-          0.9962120056152344,
-          0.9809043407440186,
-          0.6006340980529785,
-          0.8467000126838684,
-          -0.8403451442718506,
-          -0.8470764756202698,
-          0.2801212966442108,
-          -0.9871431589126587,
-          0.08321216702461243,
-          0.19509032368659973,
-          0.22816050052642822,
-          -0.2699337899684906,
-          -0.6778974533081055,
-          -0.8404248356819153,
-          0.2901766896247864,
-          0.5331884622573853,
-          0.44227609038352966,
-          0.9771484136581421,
-          0.8558570742607117,
-          -0.7451087236404419,
-          0.9981444478034973,
-          -0.678033173084259,
-          -0.8475834727287292,
-          0.3360883593559265,
-          0.9743492007255554,
-          -0.282871812582016,
-          -0.22345055639743805,
-          0.3189956545829773,
-          -0.9293450713157654,
-          0.5089709162712097,
-          0.8060675263404846,
-          0.8813042640686035,
-          -0.5501174926757812,
-          0.43230360746383667,
-          0.399971067905426,
-          0.5860621929168701,
-          -0.8191595077514648,
-          0.8525258898735046,
-          0.4839176535606384,
-          0.43716105818748474,
-          0.44707098603248596,
-          -0.004523725248873234,
-          -0.0728132501244545,
-          -0.5065698027610779,
-          0.10219016671180725,
-          0.12683188915252686,
-          0.46737194061279297,
-          -0.39507293701171875,
-          0.14336158335208893,
-          0.5697399377822876,
-          -0.04716167598962784,
-          -0.02876582369208336,
-          0.716044545173645,
-          0.8369349837303162,
-          -0.3292773365974426,
-          0.7456651926040649,
-          0.5343924760818481,
-          -0.9642449021339417,
-          -0.535721480846405,
-          -0.4752419590950012,
-          0.5506404638290405,
-          0.42234858870506287,
-          0.2887100875377655,
-          -0.06674723327159882,
-          0.6946030259132385,
-          0.02623007260262966,
-          0.946326732635498,
-          -0.5398248434066772,
-          -0.9635012149810791,
-          -0.9525694251060486,
-          -0.5915231704711914,
-          -0.5506868362426758,
-          0.5892135500907898,
-          -0.8410922288894653,
-          -0.9329262375831604,
-          -0.9138374328613281,
-          0.8402705788612366,
-          0.9105742573738098,
-          -0.9931750297546387,
-          -0.4777680039405823,
-          -0.8566827178001404,
-          -0.6324874758720398,
-          0.8885729312896729,
-          0.9815806150436401,
-          -0.13777193427085876,
-          -0.6420971155166626,
-          -0.5806383490562439,
-          0.5950174927711487,
-          -0.8831895589828491,
-          -0.9292991161346436,
-          -0.515745222568512,
-          -0.7781712412834167,
-          -0.47324317693710327,
-          0.7560555934906006,
-          -0.6978248953819275,
-          0.5688090324401855,
-          0.48954278230667114,
-          -0.4428369104862213,
-          -0.2906172573566437,
-          -0.8368217945098877,
-          -0.9935793280601501,
-          0.982795000076294,
-          -0.7022608518600464,
-          -0.5990626811981201,
-          0.4099653661251068,
-          0.8622729182243347,
-          -0.286173015832901,
-          0.16053339838981628,
-          0.6610923409461975,
-          0.5628518462181091,
-          0.18883104622364044,
-          0.8341196775436401,
-          -0.29332637786865234,
-          -0.4320796728134155,
-          -0.5608901381492615,
-          -0.7485610842704773,
-          -0.06010530889034271,
-          0.21931923925876617,
-          -0.22103886306285858,
-          -0.5628518462181091,
-          0.9293450713157654,
-          0.7130826711654663,
-          0.9627287983894348,
-          0.9840801358222961,
-          -0.8595077991485596,
-          0.31655168533325195,
-          0.882563591003418,
-          0.971177875995636,
-          -0.9552678465843201,
-          0.7955359220504761,
-          -0.12935291230678558,
-          0.9853049516677856,
-          -0.33821555972099304,
-          0.9915511608123779,
-          -0.9826152324676514,
-          -0.9881051778793335,
-          0.9917153120040894,
-          0.08590389788150787,
-          -0.6782426834106445,
-          0.47321829199790955,
-          -0.17458701133728027,
-          -0.445766419172287,
-          -0.648909866809845,
-          -0.8623660206794739,
-          0.7130826711654663,
-          0.807781457901001,
-          0.8623660206794739,
-          -0.31360378861427307,
-          0.9839302897453308,
-          0.6382311582565308,
-          -0.9593880772590637,
-          0.3193909227848053,
-          -0.7817341685295105,
-          0.023031573742628098,
-          -0.4200100302696228,
-          0.9933979511260986,
-          -0.8614697456359863,
-          -0.8687127232551575,
-          0.16769032180309296,
-          0.46352097392082214,
-          -0.5226393938064575,
-          -0.24868835508823395,
-          0.16562004387378693,
-          0.3897646963596344,
-          0.7157204151153564,
-          0.3493865430355072,
-          -0.8276746273040771,
-          -0.9994074702262878,
-          0.9726558923721313,
-          -0.2598225772380829,
-          0.9036200046539307,
-          0.9771667718887329,
-          0.8610367178916931,
-          -0.05206523463129997,
-          0.20172397792339325,
-          -0.9491549134254456,
-          0.006670048926025629,
-          0.48246243596076965,
-          0.02163754589855671,
-          0.1861138790845871,
-          -0.9725919365882874,
-          -0.9926801323890686,
-          -0.9994572997093201,
-          0.34400707483291626,
-          0.6316402554512024,
-          -0.8622729182243347,
-          0.6931447386741638,
-          0.8637305498123169,
-          -0.49691101908683777,
-          0.4423399865627289,
-          0.9413233995437622,
-          0.2561284601688385,
-          0.4177584648132324,
-          -0.7151981592178345,
-          0.3847554624080658,
-          0.00911870226264,
-          0.04645007848739624,
-          0.9529821872711182,
-          0.9131877422332764,
-          0.9860866069793701,
-          -0.28687211871147156,
-          0.7533616423606873,
-          0.525320291519165,
-          -0.2505177855491638,
-          0.22584663331508636,
-          -0.31802502274513245,
-          -0.664940357208252,
-          0.3854376971721649,
-          -0.5987637042999268,
-          0.9183555841445923,
-          -0.8924358487129211,
-          -0.39667022228240967,
-          -0.8860922455787659,
-          0.642162561416626,
-          -0.12058087438344955,
-          -0.9389616847038269,
-          -0.830712616443634,
-          -0.606196939945221,
-          -0.7111347317695618,
-          -0.3265444338321686,
-          -0.56674724817276,
-          0.9875668883323669,
-          -0.10216209292411804,
-          0.5815808773040771,
-          0.9071466326713562,
-          -0.8691815733909607,
-          -0.5292973518371582,
-          -0.7014018893241882,
-          0.2636984586715698,
-          0.9412404298782349,
-          0.9982985854148865,
-          0.9909630417823792,
-          -0.3709893822669983,
-          -0.7072163224220276
-         ]
-        }
-       ],
-       "layout": {
-        "height": 500,
-        "scene": {
-         "aspectmode": "data"
-        },
-        "template": {
-         "data": {
-          "bar": [
-           {
-            "error_x": {
-             "color": "#2a3f5f"
-            },
-            "error_y": {
-             "color": "#2a3f5f"
-            },
-            "marker": {
-             "line": {
-              "color": "#E5ECF6",
-              "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "bar"
-           }
-          ],
-          "barpolar": [
-           {
-            "marker": {
-             "line": {
-              "color": "#E5ECF6",
-              "width": 0.5
-             },
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "barpolar"
-           }
-          ],
-          "carpet": [
-           {
-            "aaxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "baxis": {
-             "endlinecolor": "#2a3f5f",
-             "gridcolor": "white",
-             "linecolor": "white",
-             "minorgridcolor": "white",
-             "startlinecolor": "#2a3f5f"
-            },
-            "type": "carpet"
-           }
-          ],
-          "choropleth": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "choropleth"
-           }
-          ],
-          "contour": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "contour"
-           }
-          ],
-          "contourcarpet": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "contourcarpet"
-           }
-          ],
-          "heatmap": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "heatmap"
-           }
-          ],
-          "heatmapgl": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "heatmapgl"
-           }
-          ],
-          "histogram": [
-           {
-            "marker": {
-             "pattern": {
-              "fillmode": "overlay",
-              "size": 10,
-              "solidity": 0.2
-             }
-            },
-            "type": "histogram"
-           }
-          ],
-          "histogram2d": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "histogram2d"
-           }
-          ],
-          "histogram2dcontour": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "histogram2dcontour"
-           }
-          ],
-          "mesh3d": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "type": "mesh3d"
-           }
-          ],
-          "parcoords": [
-           {
-            "line": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "parcoords"
-           }
-          ],
-          "pie": [
-           {
-            "automargin": true,
-            "type": "pie"
-           }
-          ],
-          "scatter": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatter"
-           }
-          ],
-          "scatter3d": [
-           {
-            "line": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatter3d"
-           }
-          ],
-          "scattercarpet": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattercarpet"
-           }
-          ],
-          "scattergeo": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattergeo"
-           }
-          ],
-          "scattergl": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattergl"
-           }
-          ],
-          "scattermapbox": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scattermapbox"
-           }
-          ],
-          "scatterpolar": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterpolar"
-           }
-          ],
-          "scatterpolargl": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterpolargl"
-           }
-          ],
-          "scatterternary": [
-           {
-            "marker": {
-             "colorbar": {
-              "outlinewidth": 0,
-              "ticks": ""
-             }
-            },
-            "type": "scatterternary"
-           }
-          ],
-          "surface": [
-           {
-            "colorbar": {
-             "outlinewidth": 0,
-             "ticks": ""
-            },
-            "colorscale": [
-             [
-              0,
-              "#0d0887"
-             ],
-             [
-              0.1111111111111111,
-              "#46039f"
-             ],
-             [
-              0.2222222222222222,
-              "#7201a8"
-             ],
-             [
-              0.3333333333333333,
-              "#9c179e"
-             ],
-             [
-              0.4444444444444444,
-              "#bd3786"
-             ],
-             [
-              0.5555555555555556,
-              "#d8576b"
-             ],
-             [
-              0.6666666666666666,
-              "#ed7953"
-             ],
-             [
-              0.7777777777777778,
-              "#fb9f3a"
-             ],
-             [
-              0.8888888888888888,
-              "#fdca26"
-             ],
-             [
-              1,
-              "#f0f921"
-             ]
-            ],
-            "type": "surface"
-           }
-          ],
-          "table": [
-           {
-            "cells": {
-             "fill": {
-              "color": "#EBF0F8"
-             },
-             "line": {
-              "color": "white"
-             }
-            },
-            "header": {
-             "fill": {
-              "color": "#C8D4E3"
-             },
-             "line": {
-              "color": "white"
-             }
-            },
-            "type": "table"
-           }
-          ]
-         },
-         "layout": {
-          "annotationdefaults": {
-           "arrowcolor": "#2a3f5f",
-           "arrowhead": 0,
-           "arrowwidth": 1
-          },
-          "autotypenumbers": "strict",
-          "coloraxis": {
-           "colorbar": {
-            "outlinewidth": 0,
-            "ticks": ""
-           }
-          },
-          "colorscale": {
-           "diverging": [
-            [
-             0,
-             "#8e0152"
-            ],
-            [
-             0.1,
-             "#c51b7d"
-            ],
-            [
-             0.2,
-             "#de77ae"
-            ],
-            [
-             0.3,
-             "#f1b6da"
-            ],
-            [
-             0.4,
-             "#fde0ef"
-            ],
-            [
-             0.5,
-             "#f7f7f7"
-            ],
-            [
-             0.6,
-             "#e6f5d0"
-            ],
-            [
-             0.7,
-             "#b8e186"
-            ],
-            [
-             0.8,
-             "#7fbc41"
-            ],
-            [
-             0.9,
-             "#4d9221"
-            ],
-            [
-             1,
-             "#276419"
-            ]
-           ],
-           "sequential": [
-            [
-             0,
-             "#0d0887"
-            ],
-            [
-             0.1111111111111111,
-             "#46039f"
-            ],
-            [
-             0.2222222222222222,
-             "#7201a8"
-            ],
-            [
-             0.3333333333333333,
-             "#9c179e"
-            ],
-            [
-             0.4444444444444444,
-             "#bd3786"
-            ],
-            [
-             0.5555555555555556,
-             "#d8576b"
-            ],
-            [
-             0.6666666666666666,
-             "#ed7953"
-            ],
-            [
-             0.7777777777777778,
-             "#fb9f3a"
-            ],
-            [
-             0.8888888888888888,
-             "#fdca26"
-            ],
-            [
-             1,
-             "#f0f921"
-            ]
-           ],
-           "sequentialminus": [
-            [
-             0,
-             "#0d0887"
-            ],
-            [
-             0.1111111111111111,
-             "#46039f"
-            ],
-            [
-             0.2222222222222222,
-             "#7201a8"
-            ],
-            [
-             0.3333333333333333,
-             "#9c179e"
-            ],
-            [
-             0.4444444444444444,
-             "#bd3786"
-            ],
-            [
-             0.5555555555555556,
-             "#d8576b"
-            ],
-            [
-             0.6666666666666666,
-             "#ed7953"
-            ],
-            [
-             0.7777777777777778,
-             "#fb9f3a"
-            ],
-            [
-             0.8888888888888888,
-             "#fdca26"
-            ],
-            [
-             1,
-             "#f0f921"
-            ]
-           ]
-          },
-          "colorway": [
-           "#636efa",
-           "#EF553B",
-           "#00cc96",
-           "#ab63fa",
-           "#FFA15A",
-           "#19d3f3",
-           "#FF6692",
-           "#B6E880",
-           "#FF97FF",
-           "#FECB52"
-          ],
-          "font": {
-           "color": "#2a3f5f"
-          },
-          "geo": {
-           "bgcolor": "white",
-           "lakecolor": "white",
-           "landcolor": "#E5ECF6",
-           "showlakes": true,
-           "showland": true,
-           "subunitcolor": "white"
-          },
-          "hoverlabel": {
-           "align": "left"
-          },
-          "hovermode": "closest",
-          "mapbox": {
-           "style": "light"
-          },
-          "paper_bgcolor": "white",
-          "plot_bgcolor": "#E5ECF6",
-          "polar": {
-           "angularaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "bgcolor": "#E5ECF6",
-           "radialaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           }
-          },
-          "scene": {
-           "xaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           },
-           "yaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           },
-           "zaxis": {
-            "backgroundcolor": "#E5ECF6",
-            "gridcolor": "white",
-            "gridwidth": 2,
-            "linecolor": "white",
-            "showbackground": true,
-            "ticks": "",
-            "zerolinecolor": "white"
-           }
-          },
-          "shapedefaults": {
-           "line": {
-            "color": "#2a3f5f"
-           }
-          },
-          "ternary": {
-           "aaxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "baxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           },
-           "bgcolor": "#E5ECF6",
-           "caxis": {
-            "gridcolor": "white",
-            "linecolor": "white",
-            "ticks": ""
-           }
-          },
-          "title": {
-           "x": 0.05
-          },
-          "xaxis": {
-           "automargin": true,
-           "gridcolor": "white",
-           "linecolor": "white",
-           "ticks": "",
-           "title": {
-            "standoff": 15
-           },
-           "zerolinecolor": "white",
-           "zerolinewidth": 2
-          },
-          "yaxis": {
-           "automargin": true,
-           "gridcolor": "white",
-           "linecolor": "white",
-           "ticks": "",
-           "title": {
-            "standoff": 15
-           },
-           "zerolinecolor": "white",
-           "zerolinewidth": 2
-          }
-         }
-        },
-        "title": {
-         "text": "Deterministic Results"
-        },
-        "width": 500,
-        "xaxis": {
-         "range": [
-          -5,
-          5
-         ]
-        },
-        "yaxis": {
-         "range": [
-          -1,
-          0.9999999999999999
-         ]
-        }
-       }
-      },
-      "text/html": [
-       "
                                
                        
    "
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "results2.plot_species('A', t_ndx=200, width=None, height=None, title=\"Raw Stochastic Results\")\n",
     "results2.plot_species('A', t_ndx=200, concentration=True, width=None, height=None, title=\"Stochastic Results\")\n",

From a60534dd22bfbfdd46171e4694b8f96ee8177b1f Mon Sep 17 00:00:00 2001
From: seanebum 
Date: Mon, 7 Mar 2022 14:06:12 -0500
Subject: [PATCH 27/30] update to domain docs

---
 docs/build/html/.buildinfo                    |    2 +-
 .../.doctrees/classes/spatialpy.core.doctree  |  Bin 1448363 -> 1306308 bytes
 .../html/.doctrees/classes/spatialpy.doctree  |  Bin 5949 -> 5787 bytes
 .../classes/spatialpy.solvers.doctree         |  Bin 234343 -> 225723 bytes
 .../classes/spatialpy.stochss.doctree         |  Bin 16109 -> 15653 bytes
 docs/build/html/.doctrees/environment.pickle  |  Bin 452629 -> 451550 bytes
 docs/build/html/.doctrees/index.doctree       |  Bin 16082 -> 15839 bytes
 docs/build/html/_modules/collections.html     |  435 ++-----
 docs/build/html/_modules/index.html           |    2 +-
 .../html/_modules/plotly/offline/offline.html |    2 +-
 .../html/_modules/scipy/spatial/kdtree.html   | 1071 +++++++++--------
 .../spatialpy/core/boundarycondition.html     |    2 +-
 .../html/_modules/spatialpy/core/cleanup.html |    2 +-
 .../_modules/spatialpy/core/datafunction.html |    2 +-
 .../html/_modules/spatialpy/core/domain.html  |    8 +-
 .../_modules/spatialpy/core/geometry.html     |    2 +-
 .../spatialpy/core/initialcondition.html      |    2 +-
 .../html/_modules/spatialpy/core/model.html   |    2 +-
 .../_modules/spatialpy/core/parameter.html    |    2 +-
 .../_modules/spatialpy/core/reaction.html     |    2 +-
 .../html/_modules/spatialpy/core/result.html  |    2 +-
 .../spatialpy/core/spatialpyerror.html        |    2 +-
 .../html/_modules/spatialpy/core/species.html |    2 +-
 .../_modules/spatialpy/core/vtkreader.html    |    2 +-
 .../spatialpy/solvers/build_expression.html   |    2 +-
 .../_modules/spatialpy/solvers/solver.html    |    2 +-
 .../spatialpy/stochss/stochss_export.html     |    2 +-
 docs/build/html/_static/basic.css             |    6 +-
 docs/build/html/_static/doctools.js           |    5 +-
 docs/build/html/_static/language_data.js      |    2 +-
 docs/build/html/_static/pygments.css          |    8 +-
 docs/build/html/_static/searchtools.js        |   23 +-
 docs/build/html/classes/spatialpy.core.html   |  834 ++++---------
 docs/build/html/classes/spatialpy.html        |   17 +-
 .../build/html/classes/spatialpy.solvers.html |   51 +-
 .../build/html/classes/spatialpy.stochss.html |   21 +-
 docs/build/html/genindex.html                 |   58 +-
 docs/build/html/index.html                    |   29 +-
 docs/build/html/objects.inv                   |  Bin 2612 -> 2537 bytes
 docs/build/html/py-modindex.html              |    2 +-
 docs/build/html/search.html                   |    7 +-
 docs/build/html/searchindex.js                |    2 +-
 spatialpy/core/domain.py                      |    6 +-
 43 files changed, 1022 insertions(+), 1599 deletions(-)

diff --git a/docs/build/html/.buildinfo b/docs/build/html/.buildinfo
index 8940d805..ab4bd335 100644
--- a/docs/build/html/.buildinfo
+++ b/docs/build/html/.buildinfo
@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: dbb3a5f1ac404bdea5afd00c4aced27b
+config: 9eb3e1c2ecc65d7c728e939f73f722a8
 tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/docs/build/html/.doctrees/classes/spatialpy.core.doctree b/docs/build/html/.doctrees/classes/spatialpy.core.doctree
index 426c00af159c036612e9d66115d5137a0a593398..3c9dfe513734edd881daf28356edbdbb34ce9d4a 100644
GIT binary patch
literal 1306308
zcmeEv378~Bl`wN(+>C&9gDD8q3_U%=4Claz!@vLn!|comB5G4zRXtTnbyZu(O!s&!
zuB(XVibvzY`s=Q`iud)qiw7&Zx~u-XuDU4edf$q=y56F=|9cTHA|o=RA~GtgdthC@
zkLj$8$QLi(6)#@Ah`4#l?F$ZBa0vbv9nqeu)*92J#d5jPELYmI(eiS$)Sav}I89e|$}D~XA1vNenMO={
z)_d+O!x0)eCR#dG1gtu<)uXBls*9qfg!7JQalO{4%M0KcoD7IJ~j?PQYGvd4-Mn`@XVwFq+Uu#2^?IjATWvu4#48te$E&M2%>~h_M~dIk%H7@Z
z$!57*2hRN{W2(Ml}
z1F%@4eh{r}$E_B{=ZUupu$3__1h8b63QC_&PY`0f*=>}It(j7@QLdpB1-!?i!)N;o5>e3yZ*&?#>TIeSs9<}UJI64{&;Cj@$^(nfKPR(paiG@xy_6E%fH_jkA
z3xHNDq7|Tp#l5ZKR8^r@bmwlN2|=wL6oZ{Johq<*lTi3zqS*@CwaIQB%mEZMCstDD
zgL0))X-(D|wRWdgTHo$8OVuJi2CYhwnVNOw+QdY+4WF$mmiKY<6HK+5X9lgt)tBztb~)7Fdhr!k
zU9so-0OVr(6?=AEx_fu9{hD3D)?nw>U3;$B_Jpgp?gAOuwey6ZN(fTvaPo8tux;V!a827fKEAHa0B4?kgsOMzb>#w1MpxRy&=k
z&Fk0i-@ku!Z=*ZfZ0%hSP!K|U{bMh%0UZ+aG@
zRUl{UfOrg_=rBZ&@reDds58>)x2xYl?fhO$-0FAPEEf8;g7quesiRWjDmq~((UJb0
z4e8~GG{<;3HryN8-eMb`;TH2#Wr!OR_rue
zDv}Gfh(_T_Z*i@$#b&z2g4W`SXlbp%LPv@UEk-LSTH-(S#x5{52IQJ3cI%xnX4mwF
zqhs3Lsi|hGGX`O!R_AHmCI+W&MGBm+;?sLLBc%zC;?)mh7=%Z|A2FVx86&gJSr{I#
zmI9lK)3Q_Shu*0tFp#>L3?Bn8dok@#*azVnwG|78N+$Sco8S|R2>xajzLPaiGqtik
z*@~MVyzzYekYlHjA6P2+!G7rcc!8-WHhw&heUOdN@j*X+{EG>`jUNQxj~`z$wbBPac;or_A-zbWeqgEO2m7J(
z;}@o$*!b~NKYlD+m>$DI8$SrXA3u&XwbBPac;k8bVbc$E^c8-j^ka>wCpLbZ%09?!
zug*2WxABAE`|;yaQ!9P&gEyXwABU>*DU*sUqY8p6^0%%iPc?PP#+WDhF{W;UZ(|I>
z_hZZfQ!9NihBuyzG2r$q%N1;DYhn*Lgi1BRq{LgDRWCDj(#ERW{8;tZCipg15qzCh
zIF}dQSlH;|jso
zx#F6%eB0DYA6(&$=iSFS_Ceg;m*BlRF
z@qbo}Cq_#-g0qn`01p^4bReW2Er+GZI*V*oAH;Cvr(v-G!jM-k0F3@01`U-sDudnSl%611m2Lk
z1xr}rhY)urnBnvBk;`VBQ!%x>(h;H$Yp8o6YeD8ia54w`tFXuy6fyAv;;MWZ9pb={
zVgrgDK;}hIt-vZQ$a%X1%j`j+J5?@rU?mpvZ>nn2PPtrmkmLL}ORz#~4mBv8jCl!T%;!!X}$i>Na
zP=HuAW=ODX21=5dXx8h^{h0PO*==_)GoxMUtl7MB9jyG-8hrh4b5NM5H;bJ$0lZ=W
ziqipe%tVUEbWpBA7AfY`z?T@o9D#p})9x>4v@bEXGZJ8U!Tsd{?Ms^fZVvDvC_o+~
z7xy(Ha{xuWR1@ixn4Y>Ar(_DbqI3GAm2idn{X7=rZ*W2W8vIEvnW!cdjo4SP>Tvj3
z{Bz=!%Rv0U$i9Mpt&GJ&=^c&pE2357FxXW(y~Sz;3S3f_qI3I{2TmPnp~BxG#(WU!
z8)Qr|25l&Oko8?(ut-o0GXMm+AeSlpt^1Sk*NE#-_zPAw{0;n(D=g>sDdb6V9KARu
zN53FraxiE^;c5Wt5FnKtkd+Z0>Hfq@jy^RvNscuNIr;?|lY>DU3eRx&O(h2^)9LO{
zY~)z$X^vvwF??K10Us!Frx}2u@M3ol)J`vlPCwTDiQehn{z|lzTbbEt!8+#O{|r@0
zQ^21vt+MKD_+$J^n6}=np+US)YXEt8FKZzDclaaK_O3lF?L>@)JW;gQ7$`g>7>gkP
zbj?U`dZT+f{M)KFPaipb-|3LETq!}?HK9fyDLOp|BE6)QfvZS29H@gkM!VbB0G}xS|~!d3_TLRTHIhD4fh7A^OO)
z3cjkbufqRSaHr8o4hzu>A40?yw0cDfr*Gc;%0~B_H@|8mfF}?Ge1!k^!T<9p4Dqxv
zyqWXmS#G|l$`1QB!l%1G5$ebJ=c9hebyPn-Ke2!LIjlD%r!&HPM@MF&1~U<}qXNZC
zSaHh5LD!DHOeU+W+$r*N;!QQmD=F?EokQVUG7#uaPX52aKRjdr<8Ivkc(Xi{!Y}-J
zN)HN}Z;{fC&FFebAAB9S=Ie^nkl|WtHd_!BfXP_^K0Ktrk7Gh2S|FIb@f|hXY(O^6
z;S>)T14{;ZvIpo2Zp$pC8@@9c1(I@cqbJ45@_w#3}U;
z3>4;b28CFR8NGQ?czcREfc=pI`^w}LYzL{eRs5H*$%*Iy{nB~)4Mz_U!>@4+zwD^0
zMl5(t#1Nlg0gUj^p(|<>BK#J>4)241%rs(w37E$+41h)p))+|yB}>5mye#Nd`e>(o
z#9u}kDuXg0PFhF`vZd0JblBRpQu5ZW6&zV1-^I-`j;~mv1GW1C%dmDD6RU9nqc;@Z
z!{})TPM-eVtg2HRVfrg(#71p|1TTv=hM#~|q(|aR###&gwmI__fg+_ljX^Lf9WOE{
zUHEks$qXuXkpoRd#V&MIRaGqf72shC0rpU_tpM9X5mGTpk(7$b5~GUAQiIkcm>$cz
zNyUBKlEYYxeoL#f<&tIYzD!oTD)iws&$70O+~d{;i#HNwO$RdEfgWuk`zg)mMk%<
zmMnd=lj*8zxhsQeA?$&v)`t_oGO1P)1Gj2D%fU&1)zU|;G~p69DIT>kTvte`mXZR-
z@+EcE`nm&siy)C|eVIWpsunLAglhfLfu^EbKXX*gqguZP*cOVAYDtQuR7;i^RZEr{
zR4c)ByJ{sXgK8n{fvMIBOLbtGR4a*rTeZIE;H0l=VW3hSwGQMPwGf;fwb&0`wJrcE
z*#=#UAdzaF%ODt4ix&+-wRSqtR8;F~N7X#4wF_WdC_<_wDUwnxSz=TzS^8)v(^b`S
zR|eHW*aK6oZUR^))kMebh=5E@6}Gqn0ai`Q;AuErLX<^->1Gs9L;e
z5UTZ72bzj%-RY>BN44G#uq_lJ)shrRsg^7;s+KG@s8)jMcGXH&2Gv5?15>TfB!Fd7
ztt19+)w<2WNl(=}kCv!{LJg8Uo)O>*M*z_bOdyd;6m*(!WDCy?;VbKy(v@}xWx6@7
z?8@Kz$n{^2E?9(#)a%C#f>FJAkyE`EL3hRI%AR!;moBppu8L|ca#YQuTFU{pg&L$<
z)MYJHvj})8`-jhZ|4wost@JM|K|yk4gZQjBxITM>BaW(h2zsUmK|#Dywn_?~(N@XQ
z#i%|p1tR_%EDqKfn8n!xol${hvN%Z$pqHzS`Yrj_qukINxAnT;q57WI>kHb3il8vw
zY}T3iVvDLgiz%qV@-AEM#lwYm^R?PhX5etA0v59c6F7lPwRrLiTDxTnw{YfAP@KZ^
zXWB?Jz4iDYtI;5}I~|W631&bl@c5bvBuT+ekTN^}YIl6Ll|as9TNArP$igPxN}jR6
z`T>U`Su6|L*?kOx(a!QBr=4AlED?5r|Im@V&4Hw1i6TeUJci*V0NX+jvb2&ODZ?O3
zjD~@TrG;`&UAxvPrSa;?qn&kQbHkYbPUw)gaX>uPkAU-IbF3*b+H>C&n5<+E_3--E
zwQF-}Zp<&ksW2WEASMdq}ojg4m4DJX!1rBUFrr+@F8%#ol1RVS$tTao$L0b){J*n?Tq_JkF2u{kR8yX~_
zDI5)WvJFrs?c9o;U}Sm4Pu-e*-$5LUi6N8wZ3e+;a(R){MIjZI%
z-yv$KGkBS}&ur0KsAw<$HrAV^G
zs7SK(v`3`$^i8>ysFqwDHF>3I_|al@#u2cd<-Xn;^xM}nv}8&WtLuE`lQYPj)bf>%W&lD
zmV~lo_;@sKT|fOboiYC@ku3}UGqT3z{XR9j2fvY;;nAPx5Kwna4AyKU7
ziNoTEMt(+v(!FpW_LM=qDV^xv>*5Y(%lNc(wx2^7qG22RXZ0=lsP6nU1_kfrfehgo
z^n;(t5Iz$+5
zWfaulx`KYQVjY*CIdD;3NzW}mygAjEyd4@-_C=8|`JWCH&?w?wmLIz7g~Vedn-`Dm
zZXJ15!VU59Q9A$p&58u;gK$dMvq4R_EQEx5a#P+O&
zXW-Mh_|J%ZS_e-mUT_sb3aLW162&)Pt-~9e)(PVzoy>JGIfR3lfKYT$jPeP)S}i@&
zip#Z%;;sdxPx1yYyZ|e4DVchM*NF-L6^@K4Ho8*+G({&IwWRWemjgLKJhtN><-8;N
zC0qg#}`%-igr)27$F6!EBbRw^iyq!ywYd10|h(%BJbz}*m>oP9c
zFu#H;c77f{cUX~}JbVz2MYh64wj>2G>sdqdAr6XWfJVfU@i4rvibUjLhSQ`1wb9^At(MA7$TTnffy>Q#bc3Q*iy3S*HH?2Cf3!(=w0OegPw1
zl;C3ZwPId9@N2iiS3p~~nKcUn;mup&tFR{chH&{7!w^i5`TngG{#MVL9Y8{s4Q}C5
zrLaHW?c>pTw%h>Rrf5HR)Wp2|1lw4x>sGO{-XLzZR#T8v2Yht_)+<-
z|COQC<&18unc(bZt2i2cjDd`T8pbl65}%j7F*$2l;?prb!g~=|IwX9!&Q*q;ekYHq
zMnS)rXN3eJdZ)b6`}9LVBdN~TD|)`iKFEB;@^4M>ZAUBm#s4NqK_k%dE>p!
zkBG;DImX;2jme491AcY&n2HlgFg(famMZp$QQOzgrEr5zDm2s?KPa=3AcR0y
zqCNqDH9#CxYtVaeK>LQV^(Q;Xjhvy_I;u%Bgq_qV%2>EO15}Ew3!9LR35zJN61t^8
zbtp`+)LKKh`Y!+nJmkJnLS56N>miF+V+|g${xCkVh&6jkMy$EpPC@HFgRUQs&J_+F
zMz_8E_BC=4;bCrJk<$Qsy6w@^<~A}bM$)mkb3BQlYMCjlPIo}2Wej|3@I~OUsvAC2
zgU`!v4;~%knZeO%vI+BRDw2kU4H@5;UFmmT5ECQ(9s*0x3w%>Wj1cGE*SsIF@9AsC
zIHi2ee}(S`3x09KYWg@ieM=4?w0J7|FR79?@N_qa&A^XBquju+$0ugs
z*;5Y#PY6R>eH;1ng>FLf9A1X&6P`K4VdhnkJq*BHkn39m(9X=8jug0qGwjj>81OtUfu
zBL*AwmENyOKqaZ^)<8{-eULd&^K=t@TcC#E`vq!lHMP=5poTZz+ZPv+7Yfu=49%)$
zQdFlvjZp&Te(<~=ugJC2U3!HK_vx~X{0Hy8k8yoMJI
zCSLP^15bfre!j4%{77?4RvY)Y^qJLNjk2uT~
zvB4VLq2G#6%%NvbJsf&+hWlM=Jx6%Ta-x)Rp*6WVj^M~3iGhH8uu=ib|_1NJ?=%^0VYxA`aV-JrZp!~u;khH5x9nWMA^37a8QbD`>NN)1Yf
zYDNOKdNdN?@mqX2idPEr0g>Vr{v{#}TXhI`VajzaOSoVxmt{A8!9zMPmmRl$CPn~3
zCrQ1&LOSn)M)?TvZhT@R0DI~&0)!l4t*t_MBd#*X8QVPHoD?;kWgb`5!tWvh+?rdC
zS=yG|@{TfdC^84G0U;h`V=!i!-z~pjS?0(09SbW(r}W4&
zS35Zyoor4u*DC4x<}r#<)pwLs!Md__)Vi>kapeM_MVw#!@JZw*0ebi#9EZ(;Ak8ehk)x2?pk%
zBZgpldgP!d@z*0MhVf8XHq1d+q_E$>$fircPu)(bH9?_NFSgs-Ooltkssjb-=gFvu
zT0E*kOhiQl!orEQEp8sC!YSbSm|DX5=VikAQjWBkjEkRA;n@uQaS1u;J<*{>nd-ej
z;0xtfQFp%l(**rkC?`MaI_WNLuDl1`XwWEV{inLRuclPBDPU>L4(z~oSsgMvN!
zOC6V|*m22l5{n5V{qU0&Qj!=(dXjshFtKpDm|e(9gDC%@uPgCe`j_by{5WW#$P}0!U%sPgo9F&wt1){kzd87B_=>Ieg~*-o1Bk2W9OA_myM_weLT)M(Mhi)4Vj)fd~IO(C?>B8$ywGyBb1tJzE2dREOmF715
zIbs9H#Sv0M0(D7I`HX6UnX3yw!zdUE5HoDJc$Q@7>?c9;J^}bp_TP@j;gBF@jRg?+z7Dk1fkV+Ns!d)x-2oSuFKLB
zENqsF8QE%q!Xh+vzSi44;0ikwu67U)=}fESD8&w|CQf2JgjIDb+|pge8Vr%bdlf%r
zf7vK?Qw9|2G^i?6^-#3+stbK-s|6=K!zEX6M?f(^XB2OS!Rr~|wt;=MGHgiVBezMk
zKcSp179EuWD>`T>(fj(G41FaPyxCDz75nf~sB9Wq`PjRtGF_Tw_30eJ@VQVwliWXp
zVF5a9lx|sif`zD(0+Fp2NH;?BlkORYopsm}(v70yCEZrt3MmIfj7VYx?K@xk+{xmU
z;eb&b{N>oMid}rH=!nJN)n>z^&_p7lkV4;*^`J!*5LRId4%_Oaj}KkM+TngFdzJ#g
z)ctb_F6-ROvLXA^5<)a{P~r-llIbLZC5$4>80a%&wcvR5Fj1udb&P+n)9VKY8MjW0
zzhn47bzH<$kYeFPA`qoOwA)d31|;w
z9?7RD?CjDbjs)vMIT4&J%whe1NTFUi5$aU(!aY?OjQ9a~0lTIK_Q}E~*;cDoE>{}j
zHVL)=LAyK7rVVmVkPnEIy6{Bk44C5~{G$YibwyPriaQ&_2Ui;z!H*}LwbiPb9oOu+
zbaSu=CR1c9gL<=6#O;vi0>E*x-8vi`3zxjXjBCpVmT*F@0lWWA{sV{c@v~)FWw;Cu
zAWqb~wQ|4@DTGXgeQ^FP@-67pCga^k2N8pqts|VRYkk=ouE8%(ymAr9L`>g#n1MYO
z+D(Qp5@IK2U>6{Y!(@@%>CkJKp`~lP#pNz2AJZej%t&w`m}<6bC?CQl)cn5;Mtipd
zb=CJe4(i4s542(A0bav^7$;%8$mFSNmzrd_xTWgA6!D>nSjACQ^+kfo0>E2K1NQI85>rVxfYbXk3Qw*UXC
z3>~9+GTNGqGl}z9Rrfqu9*9j+EPu<+GS~UO3`o*U`Ch2%VGz&Y*Sf&z=wi0P219g8
zl0&9+H@v=)9f`a?173a~d*b1S429pxKqlfPl4-!aT;+Eb_R^y=4|0p3ss~RM<8K%!
zaJs?nHcPA-3_0-0VU|RLnJm+B4m`lpFvVT%t|vkONIx%TTg`?D0SK2!gaGUx(Y|gm
zF_7%k5_9pyj{>*(#zV3Bu^l)j@D$)3&@r9@%$`yyz-*eII&0c;u83Fy1N7w5wBD}*
z4>|Qd1{)(%9J?DNcI+vI9ZPFSVOI$M15%8lINO&eC#wOGbcS+VJDqqT(ul2T%9!SB
zNmEXx1~ey&^1MM21hiL@hA^xHUBJGD_$RY{!_?%x@(Y%l901P!C9ssl`PQieu<6kC
zXt+mGGV6CDm=vQGJ=r@f!vH!Hk*V4LO+l_TYIvjV`gVMcI9z_hPWV|@u1!pI@xr2Y
z#qvH_kj7~)gt*~8l*#tWZOy5fR&8&!6BM?s2{vvx^ZZ~P{Mon>?ns9jak0L02ClH&
zSE)CrDlOP=5sT}sTwHIF!e`2ONlee!n&I3FgQ64K#Q$NKyh{$?!w~aWQeMd=<>kJT
z65ftq@U&xLOf-J}QKsIKMEp_qJ(j6Aa+!KVzcPhs$3~g@-?ZcTPdk23f{SyRcKktT
z%N9h8(~j@Pnv`~o7=r2Pk#?NKUw4fSW1z5Xn0Bm4VSirR$D`9P;eKcDgkx3?sm5ks
zbd-PJ(|_Y5yDh!=N)DmW=uWawYI`J@uGc0ZddmJi!2WGjn;W*AIl5saD8XO&vvUJW
zLLLeBwu<{|otZo-$@eE@sQ2oGnv(oo`BhY!OCMEIIFW#yJa?D-*)pWkt617W76$sQ
z?1ae$vnL(L1PFhFU=m5kONC@mS|R<^+h2CHZN`#i1=oayo@l&n0Fp)N97n4Qt}7&5
zzD%pF#wH3u{gpR54Ne3aB+ZI-RrZmF4^&H$Se1PQtFEsiFGdwJpdG&ljQI~8*|QC8
zTai7}@PRL~XbDWn%J+yY`=KLywV`b*vR4>B@I@94mI+z;9+71~bYv@rwynq(4Ig+S
zyIj~+hHx^=9t&9kV$6Q%7(dg1fED8z_Ce+>`xlzv+p_ElzLsUb2u2Oj3HGe_;Z>$K
z`pB{8P4^zXGw9?JHnf>Iv9Kh&fRB0)-ec;)W57@qRbjx@l;ilR_3!ZG!aXMVHZBl+
zjSCCUjC%l&dJjHrYM~Dv@P>2oU>W%pMlS4(`v8x6AHHYmgN+N{^5eoUP4I18Aov;=
z7Vl^_Dnc3f54{(Qjxh{HeQ<&|o{JNQs*atB9m}YK=#TuZcWKzvB^zUoXCGuXQfp1{
zZHyuKevCQK)Jh+W;f;GT#$BBfx{SV9zX@F@_1p@?L$}cq*bq`H&xR{NHF_p*#VDnc
zx4r>RYlh^lMtJ4G`1;O6Q=qH27@z)PMWW1boGFVURmLxBtx3+>OZt^2xDk
zh+*#VWl)bc`|QO>miDJ?_SwtlQnb})0&>x1#CNVoa%$rKe`&y`)l<@dHqLY(pK+dix(->4(C9
zaF7(K|7#F#0DcdvY8UnO7#*RM&cenuOw@N38++N_I+E>Tz1i3sOs^|W*Z8KSq+c17ehGUgVT(CA9~@81s16IWSdZd#$6YD%;^NfE6B@
zi0c8iohT&R)N?hjGg?p($_r0ABQAB|taL9UO&4sGjcrUcc5U{?b~~!(q2&{E(UNb}
z0dYwgkA?&16fI3aq);0zkSraxs-)y`WUmJ%0U`R?o1-#x)5qRm>@t(RndxnBT*1&+
zJ8-tE7TKFuG9X5K!;1!CZ{F>|R1uB9qBE(A(s=mNZU$!~k5JM=~Hrlf#P!VRAM)Fja(T
zy`yR#B{>UVXHpXCd1jOIcn8u-|FRL)YI2^Gy|wEcRr63Yv&k`0(`Is>=0G|{O_Ryt
zjrKA*vb2ZEA+2!&g6!Dsjx|I
zhQ*(7CuDo34aa$#0tbr#h;Xjiv!noA
zDzNnz<6umxF`8s+i0LWPTPQVvY_r&vzqM4V)GIB1S_4>VQA@Ye#(nxSxq#;M^0y=o
zb3dNz=!c!DBkiv}U-cQ`OrB>fess<$6<2&59he@~fJm!R^9{Hvi6J9S9p
zi3Hlr$F^zzJt^#Uq?L|lqpo$+{ztR7_F+fWJk(5X+Mj?(d%PBoUA9ouwrT&14y04m
z1Tjw8CMn=X+aya*&#JFd2cyiNfR(~_{H)ZoGIU;Z9<2*k;m`Pj)ZH1@u4s!nF6=t;
z2gI>@Z_WUf4jvP$*kX;n&mEv2kIpQX%VR9rz;yf=OPir&_V~!L(~Q|QRBcoOOztm$
z-l@E^?JwBPlOi
zUB8tvJP$Q#ny=;7E9c^bT3)?U0H(!w%Gov`Pcl=&nwET#;RAJCOXTiez^d!{^h=m9
zQBO347eR>(Sm3iR4L2Ctwjz5SZ+(rr6Jfy?(E>c_@M|Xcw)8}Tucaq0kcqGGq{H8D
zg5O7CB5$_0!OXyerCgIuOjwLXf=2v@-i;TVx?#%_jr`c~8WVgQ8wh?@HoVOQzYjL>
zW^=J&g*2olPAsER!3_CZ=f}rQ{ju@mBYyn&HxqmtKM20gk26It7Mz(-i*K0V_rVX|
zY%YE*#?j2giiM4?z#kuV20UQufQ1$%g8U<;=xJ5Qov6|s<8b0
z@Rn5ew0bP>hOK2d6&AAV8++>&o*5lX6C9B^+-vsJD&;4I+)jsONJ;X5|?Cm=3x
zrZZ?qrA$^+ORmo_M?U_M_Rg!J*l$Dc_23}|s#h~0#y~YM8bqLaodZ)P;<(mPRgI|n
zCf2V9*mj~&M3s83#iwn_fZH8NEB(txRBL?t+U%|Ec2rfV8D0#PJyN-o@#(aPS*U5t
z%$al`ouZ~GJ}u?i7@wA<8@zQ@8s^CVTQK9;vTDYAkK)ixcB17`8OT8q>%&=9`@V>?
zA%3OiJ6uwkfb-5f7)kB&i-*(^&1Rw;QL#H5c-u9R%+t#m5TkkGMT0O;?{r|Q2;AEo
zRdXp6z_t^G6iN~$wJIY^j8ZR4Ps_;kSk|+C0TPa__(}N797IL>dr0_M7$`J}IC~Fk
z##sg28FBoc193YyNyNX!fEY!b7Y#zhfA7Fl5%J$Ts^$^#KLBhyQAorkQBooj!!2QB}ALmXv5rIXp;EGEyhbZ1wA`69(XTZeT!+V$X}5V(++8?g|H%ipXzwRLvvu
zR|4!zB2T?moz7?x@K;1n*t5=vq62TGi&<%E-yz$|-eA*FH4jZYel#`thf@5EW<-{*
z_th%Npve1EFfQ1xpK)2|AhV}&Ik(X@jhy>x?Gj#rGGj0*J*TkNwTZVl@V2WA4V`af
zK#Vqo7ddT6hMlt?c3`R~*@qle^T_;10JfbdG;~U$q=rseVw8DVx<(A0Zm!4D?(q@G
zIkx2|=dX8=)>FJ88PFlF6ywS0nH0mM{Fn5Kygvo`$9DbX|ECVg@s$7VC6k#)4|1Ybf@9y|6cBA2MB10^
zY4$DaJ(oCS#m;LI|Hm;PM)BuGPVvuR^sjedswlv$L3&T6I47~WO^`(FZ1Ye8$Kvx#9EjU_PKxjs42V$?
zc+nsf;f)SV6-9WxqiP;SxD#O8i9(7XiIP$TSz=TKS$cX_uE%1Z`4bRwY{yT?U*I5X
zO31AtWs$MGDnn3$GL~`WEMvy~M%y&oV|9gBO)F<6)KwP|?;
z_#U1%jJJPo2ynw6{Vp{d9k|e^4acrQm}OtF4p)1Ys>K%EtWs%-JtnuOmW)GfC2y6|
znDDu@cT$j;>$P~;?Rt>`Sm3DYp>TJ=^-Qd~xDk9Qz|N#_4>B%+6*8)oEIp@B8cX6t
z{XzhxLoEE1?tu)lN9uvH=cOKY{iK9`v5YPf`t2XlHDV%>L8^k`8ZoxYXSqfU%lSoJ
z+ff8YR>D8*DRog7+jBq{b@jd9;OtVdUSjv{j=>64_B{t{t$PkMpgs2;L{FQK%=-i`
z?1X*Gz3RtO-i-EHA-!ASFs*_xEQz;Ldzfjt5g4kff&Z?BCrbzijduFZg@r_!>PgR>
zEmQ;876y0asTm+5=bUn(;tqrj>l5({xEu~Xev#~w^|O!+sh|J=kz%4--~vxRu^7@jp-FB?-;7Vpkg}&9
zhLq3+lijy5J*QM}wkz$<7^WLlrn6hqGwjw>gWA)aa$&V?;~ExvpaJB2xzZNyaJ@Ie
z#3f%#L18xTqr_;llw{eN_4g7&)S8#^K_iA~dzO+5me{exQpp%$ymwfA5xSX7owIIQ
z`n=%-RqKSMJ&NB@@Y#&j$uP%M4?lwpm>Da-tRzK&Zk|s;0>bcu%a3l{};6|kgM?gS+4>Jk4ep3wg*7jB4638Yj_QAYHNn4eMy6^9$
zHin0t$jtUC{Nt6kdT_Lk(RVo^J1@zr0W_A>Kvkh|Vo&qi6A`ar(u^L-tIEK9x+yDl
zPqDSP(!pbGS|v(eW|kwliV@osoYe7OlB>+dp6x(foi{Fny2ixQGZ_$L^okb^B6{_B
z2c}43I??$uM^$w)?VEUd6%ye-$Z~#uco#$q!ZcARdPO}~a{#QTP?j7>EB(txRBPgC
zJ9}$Wj;bm(!!f9wBk|OWnzqE#7dVhkQ4^#$6=sxjZH$M=(ql~ODAg=77K0y)->cSC
zcS;l1gQbs-X6O_}GSJFojAWd^s=5Px%XU>d-Bv^H+m*j%SD8h5e+DGU6#gw#^)Q8-
z_rMq!C*rd!6AZ&5ZQf9gqZ|wKfRNpc@<0K`e+s+pF^mp{|CE8I#CW9XfEmAvGoFP~
zh3Brllayfs@cj(Pk^p=MDUp3FTs~267CVJaG`}#6DmcusN{QWR4?1wlVZ%g&nFfX5
zGCa`MBu_o(CFU+I*p%qbF(=vGjU3%!qlRZ+l1BjZzPRn#uN+)KBTZtBlHw)S*49Ic
z%nBb-%rNaAQ9waB?ox0Kky$njS^^4K&I1Zp04sSwfj#vIDA0Vo-&x5F(DJ>WdJS@g@EV`F?&
z-7osw%PI{#s}44Y%AKL@pk9ONILyOwl`*K5adi=w6)UBi*x9*ap^+9Lc`;@t!1`mi
z(q0J@cGO7a3_LF7uql-_6W{#=X>0XLTlz5%5p1N!g|{Oehr*W;IfX&BMrbjxdr&ls
zasI_I=hK^8-QIAfW$!zojf`P|zd>|{Nm1Qlfs447$z|^=Fcu`%x?%0R(S+~-ga}{-
z91m95z{IgAHxY0_Dj3|2Tnpa!Wauv~c;D@)s=6?aIeKcr`=bC`bzyG9-|xrSI$aDX
zj@x@bLjs+~;F~wUEJ%1+vUGztb){lN{@;QcVaw{+W%Wzg)bMXvPps-DTq%^ajIPw{
zGC(C)N~n|2d@IUgZAMsMDfk9g>hpj@WO1dioV!ws9tBTqZH7I~jVrZDnSf^ZqzVpC
zN^CBN$@S75o!KIeRM&zaq|O4gtTxM)Nx4Jpa4
zi#lFHh??``MJdE&F3+Lr*=)W}RE&PO7JD*3PSnxTiHbYZ(}#*tO!-j90Lp{&p|%1v
z;X`p^u#xl;#9^lob<$-pA}R70?5}mI-~*NU@ghPTUDc$7hSy-rL*dngfUrHfkftMP
z!v{kW8L1v0lPc|W6x?2ijJb(jeIh0&X~ML29Gc1KcZ?xM!z9~ozvHysQ*d50B$dZ(
zOdp65`>9#0OZ20xUjWd=|dVyji0VM=H41HmcMs_D4B(Se(X_x9)Dm$B-UuBbPwx^Y)PqeeIG
zbq;LMW>rC8UhA$WoFt^E7yIr04mn9e{e_{je?;*nVO}MJ4NlVk1$1pr5|(o(=|Av^
zIZ5nkZk(jYmRh(md2Hh)W8AhoJ*83|H~LRjI@M-*&1|&J?k^>v=Wv=DVxUccEZ_~H
zBLQCG2j>q@!~Zkdk;J$aeao4na4az#=g9tw^XoWd+qOuI`MkL4
zH#(GcocCL957uAmn)h?yUvGy@9qTBGqk1n${!iprQDqkWPK16ud1iz0XB6+jD$Noh2okWJ;E&Nurp;)5pm
zHbxM9jS-7rR272)d)AfplcqNMU$wTvGJQ+E^JklSW8=m%{kUngxd(A}2%(*RB<#9X{%V-QSuzVI$Ui*ay0s
zzLd{FMJwW`-qOcRE!o)4Tk@ofyE<(pFwWKHe2>?0J%R$gHxtBorb6)dKWdO6`1_GR
zJdNR?&E#1m`$y0%j6*ns{*T=S=gu%Ab}4dW(s7)@a#KR~-$+grswE0`ElZ|=uOW$A!+tV{>x+9cjN-E5F;{DguI
z1wbfbZi~b}=L`
zwoi+gg_^cq49{>NouVd4Z)z8Vlxt&>i!9yXt*O#DNB-Y}DaV#oQ{LMtfNrw&n;-)@
z=y2f^SyhL*!cb*D=4!@au3YiZH#_=a*Gw{3f5U(n%@r>igt_{A2d0Vue$Y`hkAmF;
zubu!n`9%^PbS0-xO%+-Sqq*K&1nJeBXlo-vG
zEX`(eR893YSL(N5uCQf4bM?9mR`ACwE$s+bSTZeP;&3*f%DNJ=
z_7uA(Y1c(EP^U24DTgdEDu*mRuWvz!b)$b6pc;sYpK7dh5Z+TYuGH^&5cDvf
z_}`CqSaTSj>gbDI2x!Q75(8q?3|=${&1gF?RWxJDQ8kZdbOE-VC^T$HqNFrKmKZfd
zmTt)>39)+Q1Oz&QIQi+wbq*GI>c|b+8To=Rna)SIs?3Jb4Pq;$I^PJl<0-W;4FQ=>
z-IV-RN7wAqK`Qem2E?c`yl4s@+>u)MkaFY96&Y9AMjtLTV$4l2RL4VpJPhdWH|@W1aB&3=K9I*cngS
z@Hhs{3CB@)ryUv|{AFEImDAzvAq^DDx-4Lu^Oop{AYD
z(VM4cHnZJin{VWVyO9wt{L4jg8c+BZguxxtrMy;*45QcE4D>35Zv+_p6prOnGwWC@
zvz26S(H&3;(7e+CL9MFqW7o9$Z{gEuS*tREQP0_E32(@hi2>W`8nd_ZBRKVRi|_-8
ztLPj`DO2s?a0xEpop|M=6-vVS+~A;(#v};uUB>#5B(*y?;RTLfr_{v?Qe5qFLWU(o
z+OUi%T^V<*E@f5S84`=P2U?@T%T_LL_yY7@=YB<2k6<{Qs<&X8FM
zn&V-m)ZqgturX6zX&bUt2T}P0V(gJ{I28Ua138FiNR9#XOxsXSny$T*Bw*@3e45)=
zCEh&}s(SElmsueb^vp
zVx0p$un8=$X|21S*q4q>@RAt2nW25@B2Cq6U%JQumNH@3m(FNzIlKqU`M&frbd2vy
zXHRpxFMZRT?n{@@bL>l>=6W(p+oUB(ZD0BUZFhR(z(Zq)`ZIx(*(|2ILw!bmHLn@l
zlCV8@s4F$Nff75^;{x3%MY1P+FMxg;O_m+%F)hLuBCzxh^)Ypa`W%P>x!gxDh+Rh|
z3tQh;;@qqLI_QJfUiH@)K2SZ##0J?rSoHzzRsVpYZR;lGzcqZ|i!5@GJL~#JUilvU
zo5k#hE^41Mv~5N9(}oW`krjz!x)6xBfM|MS{r!ekt!RGN@PRj)-W%%|p6)59e;5Rs
z2Mml~*x+v&H4nto6Xvp=;EU$5h7UZcIgtJT8x43^#bA_uka?5s<4o{vyW|MIwxw`E
z@BRNfOz`{IO30h-?U-dSZ~6BB?=^MAw#l#L$B3>8zKszCUt@%0|NnDLZS=tm-gGWz
z^t=E6)ut}k*zig}HoV0I-^K=l@56?>Ol|bR2HtcoHssm=|5;NvY^?YfKURFr1mDIA
zg0Hc{x&QyirdIl325&qUGy2&7zqH^v{4Qi4WF8(?o8a4cK=3slSoZ&)Y=Ykh^?9?o
zs6T-H{}-5gW7CLp{kU<33BHXR1YhGuhW-E7ncC@tE4=w!T#1(`Fw|Ah1=qU&f6CMe
z8?ow~8QN?@Z1|@*oA{~ED4u0%$;Nixk|$l<)oK5~aV9+9`~TyKzP@yUA^niAdBk|8
z_WyTak}$X!H?xJjMop}bNo{~r*qVTvw2{P+KV!_jj!TK_hvYux|;6$S*S
z+^PNlyvVR#;l2O=R}M^(N3{R{=Z>oC;)dgfgyb2!;ct)#$}NUzqR^na$OU9Y`zv%SKeIx%#W@t^FTI)jZV9
zY_3eyw3(~Fb0D3fCP;6}T=7Ps#AvQ$X*P4E?(_6DSL(N5e6VFdbM@p5huhN
zZ6^pBCrOah5G_lLGA~Or9N=J{PI!I@(vEHVN&8bBB=(l}c{{G;Jr2z6%q3}m2Loc1
zc3zZM+W*Ocr6TPgb5zYE?VkkLc7l+!OM;}NU6vT7U6y7LTGgYB&AaD^Ann+upR~W#
zL1J%dKj3pXk2W;1r4MzpEF=tBvR(e$fw`TzB<;UrK#bDPi}FhQ>N7GsW=A=y=8^Ve
z0k)kWB<+$QDQTA_MroI&8H85lx|g)8AA+=Fn|{*%8;8tzO8Z0OaGt9ia%1N^DZ=Fp
zh*1%EQC>wTIomiB+JPOKaK!vNJlO#D>ir4GV-s>VS*oaeiazSxC;G~=5Lh*2|m(I7PAcMePy
z&G?O@Y97sa5MbMhLYg6olF|%WV$=*-n)6JZSUqwA0v$n|{B-1N4id?Wa^D4kmdj)%+gL^QR8v?Gi$2^K=Hps5ZQ45Nb2)z*JG2mpH2CQJa?oY&%g%
zZ6r}rY9mXGY9mX%PT7fd!s{~-cx=y4;HMqr^%VGr(BVA)?C6=D@uUr(U_gx8z>A#P
z;5?k?8xA}bUHGb_Y93wq7QnWXgmgiYB&7?o#Hb6hbRehc#5yt%aG*PgpP%l0+`$e{
z-8oo?^E`6h0KBb7Fd(2PM&8TP%qQ){{LTCc@DSTkd8lb;#>06wA`HICT%2Dckzrdu
z&oa=@^pogJrCzelG>d(c(kL}
zDRr@e6o>QNn;{*M4tl|S>x{>C+`}^$->^8|de6^BDTHrU-bEP?=jmqXIwgg-psFh=
z+;lh(r0ZusoX1vI%6fb_kF7e0%JUFokKF)6;d3&OgLsDI7%Fq=+JQ$VXX1Sh^uQ*tq~rIv
z>xsj8kO^KAV>dH&IFHyv;&nKW*q$S0!f-ebqq*g99xUgF^ZW=p#t-LVPjhoP&$e={
z-6=Lom9gR2qOJ>Q|xqfVf*T8nS%IDud=(>*$KNWYlIAvm8LPKthQAbbYlsSy|tn
zEOt88%EtB5(yuQ!OYQZeqw6KX*W)=~@OrXXYmCBSgjk`|!Yiqo6M?K{I1S9smh|a2
zD`R4ETIy%NEMdilV>OflbQgIwop!^}^W+{X>lqct8$M7Ss>ERqt66m&-$fu425jYP
zz?D7gn4V>5*ox@}!v{`Gds`^cG1{pai%fV7G{ny=n)98SC%ZMT_odA-%BfA8zXyXi
zxJ{c+Ldx?^n?xLTh4LSu5%gZ1TPRPztkQuTZje{7j&So2vyQ<=x<)w=Mp7Pyn7O``
zsIZDW8ww}zkB37w{7|qDjF=_Dd|q~1J{=jFZKvfl;x#PT4qpxArsb2F?Gl>-Hu0;L
zcjFL)=60$nF3w9_bd$jVzTD9@)wddly2h=PFJ(Z$Zl$+U@*;zG>AjWmtqx3aQb$`2
z?{rjET~Xhyly65OC|fDhM4{*v^*nR3|Hm9iEB(tx)bQQQK^A#@VZo-vsZ#f5Z|$>=
zswy?Zd!Vw%R!T&%Z))0-{eS2{Iz>&8-c*=T%C#}nBufuZXreT;QL+R~E`Ft&+}LRr5&wdVp;w3fU0qd1f1OsRL=Hf7ys?-7xfo?5*u`RLw)pTukWNw4WJ7qPP-3(pvh+|*2V)DOzXxl8U-;RNqcU_uvmaKIB%-0WX0S>WSwo*F
zW1OVR4cMTfp>N92b&9CH0qN>++?0sg#$xQDPgaWUZmWXV8AxxPJ8VTTwP5;%Mk{%qh7kz$
znq5+vaIb#oz$b^j6Afk>K)&a|L--iqcGnY8Po$q0v+d@DqMl+t=N0u7Giu3BL)4Qw
zq?V{Bmh-6RNgLp4WF`E=p5`X%dBH@jULV_E>r}_4aQarN`$Ri8Si@=t&^e-a4ahm?lY}wIlROrV6`Y}COYskmqG(FD5Z)Yau+XM02
z1MypNpG-QOdW-=>5k@tZNn^@ZUCsrzs{^WT8MA~>H%SQ5{`m->8vC0Ln?C&@a>*2@
zJxs&L5CJt*0Q;JFt21v0kUkliu|`E7Z}`9x72VFN>+##AT-*&EP)h)F@l!{6!hnGl
z<#EFYo+z(kD09su*63#i@^V%r5uZtnY0om?VMY7^C*B(MRQUy4L?iH|6DBgjx1D-O
z@U~KHRQ*b#b+7}Y#)r_jpt913z@eoM`HajWLg8
zALz%nTFloOCipgf5PUy=oNsES4}S2*^YKHvZ$^G#spJRyq4Q&xsV6pm?C|5qjVAau
zeh_>=el$$2^uZ6_cwTGoJItbMd49^U+T;b;3rfli3IQ6-MGfbP6tt
zpSlvBWopUBbl#FDUEI|v>n4sggqMOJI8RwOC-ja4_0G15QB7sri~{Nd%(g)mQML^y
z3QG{#fb_|dZFAaoh{y%SfT9z%QqZmzrz!!)=-_fMo??OS`Q{_
zLDpk2nfI9bDrk4d*)_+bL9nM<2~LO4YvoE|&FPfWx)Q*2s`IW+$eDmg4v|bpkaWJ7T
zm4TB`S;9}oVd6kvD&tu5d%dG$cIhCMc`XBCR2g102$i|ZfvKW0?{iemqcR@=*mk0j
z%1EN5R7REQb}+$HW&Q+LOI3xry4I*ob|-`BU|+G`
zWpien#f~?-JOzEcIjs*b6ndJ5yD)Cp@D%ef<6M*dsiRkR(I9>K5d&h>7hW_7eOYpr
z-78e|Wuc>L9(`E`u5D8e>WeJhnqMMfl^Fmq&>F(^|G+?N5H~-qInluif2}c(HGOrf=UC%P+FIbL@^DcAd7j
z9|u)k$#Kd#1{YxxTBAETUTI+hTb$<5sTMoI{z|J7@QkxEONa!omnEmkL?4lcl^ag1
z&ACAV{m(!ucqCg6g@p_xCOJS7XWapxQ4TzhJGdePvLp}NkrIw%NktyyrM8+~>Pg6*Fs3b>Nc2^We?d2N!ZZp5(v+G=!aMahzoW!?e|P-P&Q(6|(Kb%x8}AI%e>
z9mUn(f_;0Vgb+>7&yfRZX3p~M2ZsWl@@U(IM6T*d&jgauu2j`W5!<3^Lqpt;@Gk5U
zJH=qmj}aZR@Vobph8Wk>j)uPm+y}R#;a>q7+N)24x^t?qbo|#7&zaZ7iN|B+y)OHREcGj{P&oW
zuT{?2=c8O99F*7gQ)njRmWCfAMv~j`mEqV>Wt6^rEBb6xGcfsU6=z@zLb)a
zRizWOM}j>q$gh}awj{UtDO7DZl)B!Ak|O*o1z>OhrF=w#g9%c$;9Q%@OiS5N_=gPC
zCx;HHpK+wWpH+2>h^IsMDCk~BQ5i-`WEYiV8&ji=GLw@+xid3W*)ra2)@e{PJ9#VP
zPZCquvm9uuzMkifh)8W!b@}cCipL4`IMX4QZv#UHoYDn_1e(00N9ST9B)+=RqjTZK
zP}wwpMhee{e-3UNqXit%ySLJrjaDkHdUh@uM&O;Zx{b`!UFYZyQj+8!MaoP5t*wXT
z=?W_=1_t{_5UUCw8P4dzu?hca*t<)$Df`oZ|Lvt2w;c
zBUJAO&`SBQOF6<~>Mnjt%gv^Be+i_^=cB$tLWsh7^HG6t>65U0z0w%-@XgqX`SD5*
z)A-ig4~?-)`JpcbYzOCu-UHBtAIj;#yr)^>tJ4p?mHDC7cuBN9)9zFz+0IAU;K(yT
z;bFXpVe96^1V*65f9mGOV1Kn%ss_~}>^OjM)!tU6*r|XkE6>P>eF);e8U(@{m0}Ca
z8Ugsy-JFLIMpE0tPa{2t!ha^R3Ulf9qvuzv81FwB^L{Qp=WjqW8Qr0;B1Xfc
zr#&_UE1vUtm!*V9T(BTwpRlR7+*^eD2Ov2f^$!E&HsF;=5PfcNiIbaq`@gXGFeBshv@=o$e5$p0%GTL6dMvk)R_-QG2PSr
zE@Rw>@Mi4J{J4zA_26%B=P|}JZr
z??a4+N&4N6*w9tAN%Yl;qv{SY>8@MrNDfBUYQWl0da`yX{KpL4CXWfbopBI-534$G
zkLi0Ekfp`oZ$niN9<5_rkb-9fnf~%PgNJMNdk5kJcCB6u%^6**-!MFIbsM^x2nzBt
zk4_zPzFlL~PK7I>vPTrr;4jWkr`G&W?9@g76Fc>U|B0Qt=^@oA>x71d-hb&ZY)a@I
zEwb0}VQpQ6-i3D{oEiH^GzSx|nH(Stb1-JGETMNS=X0>v;1ipJv8TD2gPn`6Jof^}
z+O-34j9Tj4Hu4d!DPVKVz>en)kERgiqor~y@DYhB!mCZamyQpce*GQL
zIp6f_y%Ivyp0DYbM%?_fueb~0$FVo_Gy6K$%-i0RuNckL+Jb+#ge{R?4kr1Ecx?n8REN3j#%!hYC{zITLv3ASAUfydSAK
z6n>wGDr~KL;&_m>jETT^ViB0jdE8*R-cy&=reJM2?9k_oSudl>l
z0bIq_U`a2kl+yZAgQY~(8YMVy6K-lNRqFM&FtP)NDupB(Fkq0k!#CRuz9|!C6@1}h
z2F+%X85!M?U$d$MpUsYBK$d2+YmgGzC1({&nHpuOFpTf!S)Eo*GLnt8TOGKmb35Pk
z7p+-!Mc~^&XXCVWivt_6BCy$APpk+aMZMT>cPwc|K-e5%A?+WLH!8*|$zX#wdJUj!
zTM@u=?u~ZwiFu>!X>PpHbI^kWAsgG*oQ52`?9S*JPG>ZRn!^`Wqs1{m!&<=MdPjtj
zOup8Y<3&K?e2(Y~B!s9nUyf)@he0Hc#61XKjh&evKlBlbAFA|6-wuXz&XDgWh_Ot$
zq0a@Z2j_;q7oZ6@l+%OxAh!^ooo?u(E`v1y=n-vB;%WuiuF1f^v!0aH@FUpvQ21d&
zL6{`B({^wqlF{o!F}>!}XS)}gak&XJ@_rUE8YUTc`)rTeVc;RUYkX=Uy?kdq$;Zf9
z6`1@TPbLqA-^@S)@|2JS8HdVGv#JC4lonl(nO}!MRS$moZvs2sflD6Gh+(68L>~lt
z8a<-b4lIO6bd!_Ini<8Zj&cE%Y23K1L{4k_sDAPW|(!Lq%zeHGYT4yDo^@cvGURQN8$Z76&P
zp(yOE+s!)|n#QR4)|i@oIe9C07F!f{73N8OB}v1K(?39CNo`Y=2PX^U>fM8Q4U-nQ
zUA^^WBw!t;(_&|2?*ZnDmw2ZVJ3>Hr{Sx;lNE1OvYslYvC;r{h3DsqI3)IzJ20E1F
zUIqm0Qu?MEUStRo={G1Wf{qG`vu7R4A3Lx_Qh$vf8gaj)Y7QqV{0S1^K4|Cp{A`aj
zL1JEL!RH>>J)
z;g{{Ibh@pEj4R9Eve!)i3KwS9zf+;AhyE3i`ZhaDswjcQL#xvO_+s|7o>
z;b5;T@YXjzPzJC9+GxV=CUlZuV^q&U^L7a5iIW$A|8V|9_z7h@d$dYvLyS<`JH4}S
z&CppIHScs(^$@f>jsP)S(W*?)R@w0F06UYMy@4SCnqVA{Wa&CT(n^{{o*#llW1Fg}
zbB|Vk?I5HwTA_e>>43F$ktrnHPT?WjKcYy4@cgB`8zK?RyjU`Yu$)ICevD5n62YG4
zCK9n8=kNQP_3S~2$2fx!04_)TL7b!}5o0Q`I)nB?rmpXltQwZIs
z$t;u*qMPO`(!hw9Kl3L>JzR~wn4gLI;mSlEJJNHhB}OkbM}H8+esFX2GobT0u;Q69
zoDghQ`QOk;raAg4VvgQvcHnSH=oB0(DU$Qc`aX+Hb)}4k=ObT+!gHmNaZ>1FnwWip
zgD^bbvd9Q_7GVi%Q+-XtrNb}gu3|zU>A`gNDr8r-+itHwj3iUxEBnzfLwgJiq>b0Y
zkXY+TL?df8;OJ94IXV=VPzf=$qz9x|Z_LFB+g`1iNE>k0oJ>F334yPHC*EJByPd>dggB|8ni&1(Q%
z+bRo|bKmA;_{4l0_B1!X&Be9Jsb;G)Hd$#`Yt6CdcvvZQoQ@8=g*r}%wja1>Y9WX3
zb1IFWCa?wU26jR$!hBxLaiT*R&Ukihvm6LxroWWdi<#N40Qpsiy!V(R4%fRE?AjOQ
zSMzgJnTZN~0Y*s=Uu~{MhYlJGbz1yL_R2K=W^of^x`aPOU}^7dx!@gRPN=OBCCao#
zBE1Zzbny$l6AK@k9yhJaM1KH8Z3As$ndpIx)oGc?NRfFvzR<|@o~~$&YswY97kWK7
zSG0gU;;!gH)gR{1eE|hE%Oce&S1==rx#u%rUm9Q;(VDV90XL~KW}2z46x{G!APAV1
zv+<8dAatG%N;FClTsXb}P~J!=_v;O-D^TPRtFI)9n6Z95%1t((_%g(6n5>X{QR+-#
zmVyH3>gd(LT(&xe4_916495G6IXRg9N-RsoHi^0tztB4}=IDqT-P!4H798o2Q$6g>I%{A_w$&W{Xzg{--BKCu-!x9
z-5Kae%tks6nAx6F-LGaqmYDt}q(pYpJ8X-haxXExi~&~9{+;A08#sRMz+N>+;jK{F
zW7*4&M+NtrOrml@41YXMl!=gX&E
zB<9QPX>R7r8>i|`o|fpbN8@yxAdkinbIgigMYG}(EKbo++?=`P?2({T>(nds4tBcLyX8umC1AG4>Tvism2}&cG1%RS?bK`ITejm-
z&?7;Mr7n!Iw=-iCwY}X|g_nt$_yck#zB0y9*k|>XuAdhHQ+pfFEHlpwB!s9j9}5&}
z@6xl}=RGvI!U$i`C)q1w)TmgSXD?yJf@AbcXV$eq>ZBKLonh}{AB1bve9#43L>us=
z!!MiQpA8=u6H5SL0bat;OYk?V@E4;-h$i?Cy_J@!mF>w^qGQ_KDHb|wPZnF9r*)ff
ztmy2m=!c!JHs0HMCc+0hI4!ie$0|i{O*~o3%SCU*PrW}cH1+2($^IbX$8p4O;h1FQ
z%BxK9ZCoMveq4Ezsg*vs!W+-UmBTaxYU0asQA2PhexdW`9#gMuy!ntHZ$52;Z{rQY
z_v6i%O|A678{T*>-Yn&#nTaWju}Cn4|InH7OH(&&%=j-qW-NM~!93cSLGU$ZEI3BlJt}%vw`tY|J=~eUN!9InM;&#tee5F~d2Q
zY&W&i2TOS4xma?1FQ3lDpkoY`1-p!8I`hU%-L^6B20!Lan&8`*NAUfa_jFS$eK3zV
zo{M>_O>Vb|afj;_1<#VNb#~2~I%;Fri~ZR3Ium>wy9mCtwHWq%IeURB)-e-buV+jt@m4<(ES+u%^1W}`k6j8}qvwaR`-YKC1v#o+N>SZjleM|Z%y
z3vMO4NiMJr4xrSq@C4{2Oec@WKOT|X;e!xyVAOvEAv!N>Z|hJ3vaP+XMZAVdXL_u?
zg+EWFrWeBBq~0m_GPGD^A}G`v9kwoa9R|KoN~UUfmI`JfHoKjvZifjK+-Wu)K;k@J
zZx#o#pn9oVG1Y}DN9eyxDig(Sy|d-)4I9XYYbo;?0wk9^NTtSvS3_On>fR*`h;em~
z7dcn=FbW~N9Gi*WS>}y-$+o8Ih
zAf%j({h)
zl}{dl8eRN*^2OcD8ub3+7Ch|i(wmFBJG)Si{(}!MYg~*kSPiJif3o-Zt5vBquz_8b
zGW-ef#SHshMldJyR^i*$RGlGmO{>`03s2lzOeX1w-iwJ>uc+;}9DJ}V23d-)F(5`u
z!He9M!oGX_Hx4WnOYuub)jXEs0f22M2w4hAkd&p6B}PjjOACU3n2TkT-Z*X=W&Z{=
z7F$v^He9|W-bEQ5wRWwh7HiiEIXX;xAGgkiof9wCf%eWbMushe77dtGkA33e1&16W
z^d|V`&95e1{N~O7X9WHSeWWL*ll08>5`VBSKsQAt&`+h##Vz{5^;A~c*~LfEDm2RV
zmAyn1K&z=P>McED9r2dwFa1Cr#z#bj>9KeZx=fF#&-6$-Een`l!>`epywU#^m_58K
zQ(Dm6p4*ol8tgeVjIa}%<&0`Kp5Lr_ZMflBTzY4k3^^BDwt?8&W{q}}K{oUv2E=GX
zd6CgZEX$k5hGe)x7u*bL%Y(ct14
zJPZQkR(R#@RJ}L@XXMxG>{z9?(G51P@6pWJSSBgU{F$#f2x6B4Qj0G#AV#&|MNYL?
zjD!-Fo&V7B{Fwt!MKONjsG3JHegUxUBq7C+BuOcTEHNsEEZsS9;gJN51`ivQ5i$2u
z#xFP+<*AHsFs;f31z2vV^FVVIwiCh{1VobY&=pWS{sAmc@DxZ;xe`v8i>(>d*>bT{
zEU+O*q_4w07Ntsijr3FT`e0B|2v-NqDg3fcial9mD@)_%sKmU;t;9%bsl@Duj^{-VJQXFr&`~vy5^n|AnUq+P
zB&Ec%#Hhrw^tsnPBxFu$~^0nj>)9U?>{@O*DhUPW{V$^D0lwYeO2cC*n-|DEE
zN2^~1u;sMWIcv1zUL5)jGeC@&MvA{hQ`5g;%W
zUXUTALA#)ET{+{PmeX0)fo*yFT!yaG?x%l6x;hrWl~wIMJb))W33MNLegyaNYZD_F
z<4o_T*1((?U
zF4QCvr$6|K)1kQS0XGm^6HbEq*O9$+jbLu$*u4yAf!>kHle5bF;xzi9-D-NWF~5L
z_qCvjvvAg0_xfp|b8PoJiBbVIcm>3_0S9@DJ$E@yznK9_XS1{F={H^ZRrIv^*lVYC
zKXvTQVTodX-c91IZWEp_JJ9bzH!%sqTM$@!3*d6WCT4~8J$Q*SZ3CWO21YG@p?Bgn
z&~9>R#kvje4#NlPj=IE7wU=kCPRX)Hip=>zH>*t=(mP)^MlzKzI|bbxT)ynbka%>$
z%|X!-mLS>!EKt26LG%_FyTsmH7#DFVMDaq0c7ZVrios=I4}*4Rrd|m~@eyTM1ZJ#t
zq-ci!hHVaopQWb7Fk)TrW@kAbJTiScCR1N0I;scO&u#rFQ
zV{m~N8QeSltT+ns?+P6+j=y>wiARx3z8tI(1I*6h8AS$
zBg~wZyo-8N08K?0st;iG5}A+s3x^CSJ}QcEMj!R-tm?p~>{mMYs_5C}P}M`vHhG;=
z!)&PBw$RtNF&F##9C-X>?4j3u`uYsyqj?CDZ@@hEoKGLffGo|Y_ah~;+f@7EE@&$a
zrV4D5{X5A}HX_{Sz+SaL;i*tLdjhWmk4(1dg%0%4&B3hl=ez5PnJY5EOJb}xNz7cu
zFfLpU`$u$8y>OAFOc-XajOLcZX|SBnTtA9W>@ZjMG&eKXt!%>6?leo)c6*G63w_UW
z-Qb?T>J8+W#Xd&$(RHW=;j#>1F8d{*eKs4X&SmeDUq$=pZ7!=5AvL2t#=v0Vg&WIs
zdvd?*Qopm?m?+^75ZFPO-5#<%?ZH`Rx4#EOZGLrPcKe%*)oFHXq{y7lZcpf~Ilbq&
zF{-IK?&qM>gPY@?hAg5v?m^TYHq*Tq#Wc%IcY!WX1yF`H`{L3OA)VOGK782!goNh7H8ln89aTcST-*A$CGZyEc_`B^i{`h
z6zUph;ny=D##uNoGPt&0v+$M!OPqqyEWGKcs`|jbv+xcQ;J(H3V#72+XcjIBlA49f
z65}jfmOjGFX{nr1j|!l#2t(CZtMkhI?Q0z*L+a8D4MjMkzkM;QIkEF9}olEaDe4wsTCFass
zvFiE~_hFjQP}g+yMGYY%%jFAQAnFEetms!cK3PvTJz#=wJM@a+YlmJr&j@_Jsg>;@
z7uu<|?(=4OkprTmA0)n%-?D`w5yFYJE?8cSMP)o9{;jC|jJLA-{A
z5W!c53mg3p$a<_8SK{@5U7m!4qRJ5yM9e137m)a&qx0(g`|qHxF(C0h2E-VU;6-@@
z5{F#wW)TG>9&~g_oeTH|Bo+c1c7jkqLJ}kukdP(DfP^d^@e%;3`H|muU?Z?a)oJTJ
z;D}kuxBowTZvtmmQ6-E6AuP=fvUUfa2&4l^Cj>zVpo9=0EFmUAHe-D0ex3I&-Tj*P
zUMECFQ9uU&&joE2#|8K0a~XGKX7oRwGbk=2j-NA*j^l#ss536;sJP5`&Z$#%tM08^
z%i97opT8gG_N%(*o;q8dI_FfChrp;VdRWX_z?)4tbkrS*HmwUSET9F(Hox@ki$p+}|CK79fB2rE(REt$BRO{j^
z1LZ-{sU7?Z=mLHxP8U{s$ePmyr+UeqHQx--FpeDIgcKMD_?%G2w?aHMQ%{(@OZ%<8
z&&G1C33ny1+Q>f@NlEnP0|w4>=G{nD&zz|h!#z#7lxrIe$mT3tCi6TLf*-HXO-;~V
zUN~(O7q6J{VYNngtVRA9oJd-m5l8xrSIe-27tSG-lVpBNMe=|?_ye@BO9~jjnPhlR
z02$aqyvx%yLIeN&5YW&48HsFk9x`)h2k2eQErvy`--JQD_wE-OI+e27AUXWV-Hwt!vCrZlp0w=Y)1m#
zu3Z|~E<$YoflpNHLQnk(v58$8H&0K|)y1(@E&;nVBIo3B53Q9
zC8=t$y2`4xpfE(KrK55LVZ^zyFYu5IsmpFGig2JCJ40Q2Ryp#u03=z@{t3E9=-F6M
zxf9{XC#yVy6u{Qek+6jdkk!vK0QQ;}XhW@==e$bOdv8_|W(HG;W=s1sS_
z!Cp5x$%la0;Zd-N4I72V=vWVWV!|Fyj`H`DW&oKGB{A-WDX(Vbye)kU_e;E*mEMw)
z3CkjuXzr*J!FI8T-2ej5m4S$tSSvT%~={^LhWJ!n{fKo
z1US0AQU^>LySCPLlpCs6VQFbceTr`ho-Q{9znLyI+#z|;JfNz7=BzG%ol85>7Wiqe7tzd
z2oRzDmHo1DV{dGg>=1vL{P@0YB(BT&z7xlfhi&j({9yQT{MhsIyepP;zz^~9uK2Mp
zPa-yM>@_ndd4Z26Cyuj?!NrNA=!M{G5l3zCU7TR}ahy2I_LUAeAwJ#}C-#%GxQ!JH
zpi%OIo=s+4WgCWz8JEW~V~Y*Gix~_*ju|)FzS03R#K*g0#y-N4vaw>%amfgHGTCsu
zZ2&Gd+#1J*m)qdG*ue1P*ziW%S2|#W_;^=rI6(7bZM;}W?UEn-m&ud+Y@>1UPZ_IGC|nga&$GM6#_NsBm~0)pgkup@&PSCw%~pA4oVL}L
zWug4e$JsjG&LK;JjQXFNPL
zqsiL=x}g7lv%8iNX7d$2Ac8#obLa#^Yg!=aUCm+uox{oV;nnuOSf>UP$9#LC_>e88
zzO&qznZGOfID9fO8Jqki;_4qZVoU-sk{pHPT6FmWjW2WCK()Z!nAYT>Tknzf`IIuDr|@yI1Hu;6YEPdsvAygulCexj_r9EE!A(sS_2BeL>n
zsKH3jwBSNgxP1jL@+K3F-K|Dfh51;>)!&MoWN6>*LEmj1xD4|h1jK4+MU$br@LfD9
z?Av;Ys3!ydHy$jJ$eaQHgr}>aOxvKdO?61Oawl9TpMvggg0Q*dQJX^qZp!Im0Y00I
z_-7B^+7Lr&>b~ah-@-rm15ej(X!?^lnu3t!rXVGL)+tD}E^_OTVn^H45tJTb>Qj^7
zOuW@Y!bmgmBnXa|MklB0<-3a;}0NYIz7Ia0FoS>@~tDvjaQ&7+Y*q(}c=o=v9_?0*z-|iu5q>!Ht
zDTJ(ygR9r9wde-DI5GF+BmT;Rx|^RY(oyAkp)18g@@
zSjZJoazd_JtU|6@m!Ob`@jaFEh?hXr@mq1C{$USkBSrn3nYpZ_@2EA$>z&EEGYz`m
z`X2Z#dlL|=q>H9rNctiVrkbQ5=jqywq@Mt=gCt!MB`4{s#VYBl^)&KZ0{NcGdemzm
z?fAVoY2VXB-biV`bUZ8UWvF?Ztc};oQxJWrKsXiLm}Y$rt}l!AXOfGDVRRyZl}mSC
z?HPxg&1~hLNwOD0ewVsQz->Dd+
zy3iFE&<(^VPB+$j$RDX2XH$Y$yDt-g)5{XaOGO6O;6Xisl#M5
z7j^_>o8RO?-_3niiPsYlt4fF_uS)FgyWRJr9y~RL_>iY-Hwy7_fbAv;D}*9RP9ao_
zRUuUCXfWeb=?{MgL><2rC+dIhA#6_6o$()e0>NnkAt2t9fa%4+3iG3>YtJ^C{2^fI
zywT)$NLNn|R6B!!EY{52^ftUad{Tv{@Tey^_i1MZ)xW%bJIskYYprS;-G;OFM1ULA
zt}7U+_;dvZBXJXlCJpX2W*H<2Laddy~dst9|9@=ueX+XGN!
z=1xG@2Qk)feY&+3rIN+jByLI5j>Sj5e%a~{&-yvkM(WiLuS+*2^`v6AIPQG2XpO_)*z%N{FA
zBs%t3VY}F4^}k_YVviL)Irmt($HZH}zI&KtL-JdE#LYD3i=)Y}j(|KTmkJm)3CXEL
zfDSeb?7pb5qo+J}_=S;dZQf{dJN&Ng)?0@4O3OqQ+_LHV#2oCxuT)RmGLLhk)=$(m
ziGC&SSFWA{{YJOUqfs5I4p$EpLRLKu>JLg#bZ|iCq^0Vi@`v{E1(hHYHd{ttH>DoQ
zw}2iX>i>%W1lPy+L@70^Zk1G(`fudi*VL>tqSW%5;(AZtn|e{stV#Hjmd*
zj<-(`ggLjUUSqy}yy&s4VDy>Ia4Bl-XU6XKQYC0md^1rWhZ+SwNv`nIi!R?2#$JgObQ`1mt
z*@Ok+@+RI{QpQI-wQ3wYFPo@MPR=#)sXVa*O4kqol&Ni-s!TVB*3@TrHEP?dtXS$qXLDp^~o00GF4WUcGc%f<4{P}s7!ziG-})CS`Zj$mC7>{
z%b_3!w4gS*YY2XTfEuhaS`cYLiGe~!ENHBhE?Iwd>5{eU*KS;WMQOv;7hbV$O$q*6
zyMEK!($j$DC@p6|b>qlC&_;J#-hs?7V-1pEI(7Wfm*KfY=Tv{X6p%wI1z^P5oPStSnSZ*}RGn6?Sx^nHtHJ3vF
z)fcY2V%_HJ&C%^!vNp*Apt(u%P`eiRsSa)yi5d)0J4
z;-ZqQ)^T@ILPHDwG5D4%QbMJ%bB)@3vI2X8kN5`05T=r&+Is?V+v@lX7S<&OZr>EbQwu&`KbGah&a$E#1mn#M+RfnSW+QfYF9KhTxaL09j0ww7NQrSgjvKihB
z*Z_94LcrWLGf(xr)qRpX;7f!A8jml68zcBY`;DH)RE7OUcS1KQI#Q9+Wz10*mSG-P
zRgzl}#8w%x(Ew+KeYssTM(QUR=Div28S&8eAvUPy_J#k207Uk8AMx$wyP`tdP_ufs>$NT{uSZ;;Ae5~da$j~!6dkIP`O^Gek9Lly*A)tCrXOBWVu-dPBX
z6!1}?Lm3u8)KA&4zJ5cQpyVHLe8b6uJWLrADxMCQM!SJ~8Y?=Tz*ovGE&e@u%t@HX
z7Z(^JH9?IDsF~?pqAN-2n$Djf1&Tq9(k{HErTWa)ZL~;j?2_|*I>qcGKg;HW|5Uss
z^YO5gu_1>F{Y*h<&kk(PS0v3JDRg+AHZ;d(P6S#=-KfPp2}o-I`_6xvL>qc)-sU>b
zq}j*vf^Jwc$F}T6-OZDK4$ydQ!8+FrxEsHjBRJ85kaGmbTVC*vpxFPG1LjTZsSG81
z!iT!sv>xuFv=7PXRq=-P6vLdq@?%hduKg8qRD{cNDUzC97C{Y~oPNrBW_4MT{vQE*
zy+;CY=H`UrHORveW@XQIO`lB~%awLFoUw)W%U!#)bluX@^$-$(px_KllMqa#J#%8d
z!~!E;!kc#$1Zer3XTW-bZv*sAT^b|>XBlrIAh=*Hjb=PI(PVgp!v8e4%mr+Sd65TG
z#D}-d-RbG7yLYj>jN3>AZI^MLC|pa#BiFahC2!mhWQNNeZ^%&UEgqz`@r4mJ`GEGd
zGcsTMQ25v0@9C;jGr1Q!M{Ghw6g#HoXSMNd$&BxF9;9>B1nJEceJQ!NCazWMNkRIl
z=B9R7e{e|g3wjW{c&dTnP-)Igz_57(?~T;ey@7XwHXm!%jq7IMDk3sNJF9TW0%Rx3
zsssu%9gup!sAXjWGGLso;6p^%NqIouE^Ex-tR2R0igM)4{l+syw>YuIdYFJ%EtY8V
zS}bqv
zCUH1qbscn)NiswN?KURK1UD$+^l!{xYs6_(o6c5bl4L#=4o;t~
z%<$EiE!#_E`Yh~wW@7Dp1TEqX{zSYfZBIdRZ8K9KaVfWREfDktkSP(y%)Sm@jZe9a
z!CN9eg}jbG7i{1riv$qa?{N$$A9n-v<9yt5e9Y$Kj<~YixRDO#l>T;Fzh!Mx{7xni
z-f*&w!OCQf$$Xu4!v7iBJp|K6-)Rc$%JYA
zG@z|STGG~)2s=fa7kZuxd!dubA+yK}6ohtjkaN5u>~2Yiy&guLwTI4R(rYX)=sF~`
zLx(|G3kb+7se3=uVIQ#|@|3#D_Ct$9cNy-dAi!>;!=A
zCJINGdE~(vv9ml#YvT(esxu>YaroEPc)IG;OjbhYE;3?y5pz(}l@Z(GK{`iGkltJ>
zK*_Z=6`)$fGF-|54bO<-7xbt^@oWRbp^Vs`0mJ6-{-4OyJ@ztUFY*l0t(FCSGzqplwW4zVbC>#iK&URSi=IVx5R@@7pBaT(kgTpPWGT7=gSlQ
z{bWiDi5JCbx1HdW*7rc8b$jI$PMI^3t0cusOG=9zF-J-Z+eOmo=`b*n(xRta(ujgN
zF)1w>WCrw9BETeuH>FiWoG7K0DD3Ddhh0xnT4%^r^4gnW*KrN14MXx;-b-F2v@Vic
zYW*%@b(-P24d@sqXnKb0dFrk9O#_R5$)V1R6jC2{fxTP}D?ZJYk|ens!DP~0hh{}d
z=DP9?YBrFFy0(OPjFdIa|>&<|qS3CD53xf`uU8BWk>)MwJ1+HUx=GLOk`
zkQT$qubCuLlbpU1(sTFBS;TRTeVwN5R)weS5u`!t~o5*w58Az8d56@>Q91NUPTiFZpXZv_lJYw4Ydu%(t4bi3Yo#fkwCjKpLZ*wm2q=))*`VuIC2Z3I>Ib{%;xi6>lv^f
z3f=*IQ-=yk!O`(o6A){3Tr?RzY=`;0_j@o!d^n%?UQbuuxs1){eGrMD?QqKzh2!Hq
z^5A^lXFW)3;|n9IGoSah@UQ)or>joQ@J9G
zuk_%lN#Jr%*KRcIi2&P861G>0Bsn!uEmk#9t=(ke)Y`4v9d3wCoXQ;KAwKfSP#LEd
z%6#5S0u+%`Lg+|%7W*=v_bj2ay~^j^958hDcIJ?-9&bm>=RLV7pH~=oux@he7ECHu
z-9mzJ!d)5BGFO!uFOjVA3j^rOLV)z`u@FS&1>X^XEDOV1krLs;keW)1RV}cdf9=7h
z3zKNc3l_Q^ANQak=iQI^`^mf@5-*C=ZhOOd!JS|kbi3yiPMH^!t1ZP#OJ0y1I!9g*
z+ePN>XD~347o?|L=8a-RF?m55iwE>n=ENk1H!t`H#EJ5Pe^l7fQx3b{<^|Wy^fE6f
zq4gp!C}DM)7d-0PP(jo4f`_ZO1{hM^;7m<=K?cqU+87@JCw%EhJ*g7>!XYkducOw+C?Y<=?{4vlic(UHktnFX#q7lOOym>fX=%;J;W9a*p7umKVGu
zFjp$J?wlV?Whwbf_|V|h*uS?x9K^1bt
z-i8F)jrqYN5Uq^6qq7!?#X*uop)2^1j6A%R+^3b?a}w;~{K@0)i2R^Wz#Q`oSPw1l
z4}DX|3Q57y_EQOnHQFwk3}3dx{NNf7ric&c2QTn+)t$`P{NP$7f|ei56NTgLJo4cD
z;L|-wYvT(esxv=075=rFr>joQ3YmTrNpj2p}-3w?CS{Olc
zfS)SYyS~uEaB^$_tyv(D);$)8$Xwy70A$$>eiBl`;|6Pjk(y15g)Ok8S9!4M!aQ1X
zg@rE21Id_g+A-0Qb+zVh}
zB3DRHxojN8i(+zxGCmLJscec#3~#RRrHB*d3SXwMqo*8pdaf}2$Y}B#xP(=^m{?qm
zyuDI~6S5k+@|Pp~?k09#kBrw0JFZ7QC37GiT&3Hpm8Zt*a5y>Ll`HP>lAFy!yDLMP
zya{LohVEYcC)m*8b;++&Z_stgD_|U*MKs6Ti^U*v*Cl5MJKsJ<^vqtHoa<;tEmKtE
z@3qN-9`jtIob3mGxb6mtUdF^G98J%2Bx=ku}BlY9=}5Z5b9qhs*%f8-UzED`@B$DYd6zX+N7TBkCF
z*DG6P>i=D@JX&2i;OmutnBihSuUGy#e9M)qpfnF%ul!5w2@yiPUKue2(^GK0au)y8
z`?VZdPo)TK+3
z*oS9fby{$D!VRGwwq9^ItlnxrKXwCamU6M4iG_?*+?F29kv(oZ_eHrb@pn{)l8WEP
z)Ua)SoBO)vlw`>=1d}bu%Q95rcxbM{#OXXYP5}jZHq1IM$Qv!XzB$W;^cv?U!w3qK
z!YOjOr0`MjUO-a#1dm#p*Eu6HXsob6PwB+1l;39(H6LplEW=@wbQ2AGR9yw
z>>3-|G`Ef3gd;Sj=bEijZF+X9GF_Qz(baH^%d@jnyG9{qQJGq@n2WHMmUdQa&t@r3S
zKXmJBdW5x7jpP+b|Ka3rW`oo}Uu1pc(J}v#)M+BrsROiHka#U>J&HF0{wF?tQ4)&Ooi|7B9|3o!QV6yvObd%*I7KBHu6`2H@i
zJ6FJ^tVsSAxk6O9F;^N@J^q&Y(Q0YSe0HrtGgzzK*j{PPx8wbr_EC26EI#-?ML6g4
zyaxu*GoL4+>68lMeu*Syw?`0(Ov?L^UPT3Q`UO2_ZK{aLB{w(8OGtU*z1NZ%1wpn~&Av
zokT;Z8m!I8)39HzO@QPQ$!df~J!8|WQXT=Crw%5LnhSMKA|M#9$X%{2nhgKkR$6#m
zW;WC)AklYqG5K}AXH1AW7a^|lbk*JR*doNI0Bkq;xTr^wFIUu~TC7Dqs`aEG0Z~M1
zhxG?P55J%%7JZSX;pFiif+Fo@Ney*%f>b3n0Z=)wE)9b;ZEpB{pQAM3N_8!H^^Jf-
z+mTntc9FTh9iNus)sFO(%UqMw7L!+(%WAdQ&Z8%Uv-rBnyA^gXSJ=^04m*mkF?Jm$
zh3{`)uwkk^Udhhr#Rv5Ae5jUc5GOn{V-m7m#;l*n_{TB9!sS+ga9%JkffpLgQ>OUnz9`0gjofCXi<4X{psFcCj^OC+I(EH8KwFP;G9GG%imT6|830aFoO)HzA(GNuAM^YlC9n3pF3lqJH!^Tg0N2-j-_>{W}iy5C`kA
z{*$5?IjXk6`>IaM#WZa8BL
ziT|}rOV=$eT@RvPZ%ou?$}P;=*V!pS4am{QI$NZxIi4=k9~9Y0$X0oT%*}aLg|i5V
zRTV^&R}~f#5u`HkUnZtkc`((i{}rCD-KfJ;0k)ectPVW#;BEWcJxFWg3nQv?+y2h*
zueCf~yP@U>_UnS0u5J4-@gSX}CP;72ZYjC8+AY<3Mkh+EguC6*>tMt1`*Akxi~yn-
zQ@7I_kUNxL9$*g!zg+dUZo&!
zLd7)4Zv}(J5mrGdigA1$i55~!b8$z-G^Mhrz>z+pDz51jI5qhsOJRT@Kd0h9Fd%6{
zO%>M#52=Asr$?I}6JHkdFrc=(?-e&sLD9%mUuOsl#-VCFQizsd>hvd4!XmuDZt?8$G%a$)z3p
zl_wvs9~Aj=ZmDXqx}~Z$tb#@nDZJtazn~inr1Uc7W6&~?lfekvG`-YqMNDYR4f9*W`W%&6n6BK!>%W#Hy3V#`V=T^T$f2GMit*Y
z$>(Gje58x=n==YP<_d6HyJjoR^VipBDjk;K{1dQ2*RkRWSuer)vU;oiX9M@M3urUA
zBAoB5(Z?6zq?Aj(hhQ>AI7b%_PNbR(+m(5xIp|?Gh5>~*HayKj9GDT!Vz5*eDZVyp
z7PY865>BWcmE!FG%)BGyT-z+Pyr7$;%-Uv8>TY7KRos|3YYpIeSW9spZ~43v-$j-e
zBJmx{F~KN$T1d?*{3-r2Mdus~5>Bko6l7bX@A%mBeEAJ{GT~ohgMTKxT-Jw*6ZNQA
zax(l?I{dxS;>k~lKg_ROZTrf_*{`&ZXwJ>f)*G#@&FONZb<KVCeG
zTSdsoz~{3_*%9_63j#j>4T_C^=%I)n=eP~}
zrbYwjGY%7dmw;HqM54*C<09#i=vh_mAjPrqdZRMdlVYPk5L!-^ki|y7^K{isZfv;d
zPXOCZMh+JVTG_Igs>K>EQmqknL&}mw78~KW^clL?Arl5?IQcfb;nO+JSpF+@ee@L@
zomqAd!OdM(lG6!@RY^pXS4lj@MwfZ8M1|#Iqf0zpb#YG)gU%7fMpr<0H$hn36+v>*
zQPpA3g`49t5?1rFvDCRdLV=!Dg|Y(TU|SQ!h#9*?Rzm#SxM
zx*xU*`dR}R69mNSnu;c`Yw9XuiLP_G#WN<&jeVAh5?FTR_B6W(9MO@pQJjMvWK8Zdv+#KR|1{MD+8diGbs&&bS9lB%kmaE3nYC-QXn8+OEE!Zru`v-*`J>{_L
zO?k`JGd0+;Hr?OymV%FTQ{GYlviIdJKL$4Fs%5(478kMl6_~$&px)XInTP_~46eN8
zcWU(UBkw39^Njx7=WZ?<#L$_;KYeHQQG@
zC~pxTFP^+J>t-QB{_ebPwkp{G%UkvbDw#zI=ocjmz$g
zzd?D+?>!XJ!yBg2Kw5F)@;3y;8XXc%h8-VRdCQ>_er|KV{~%9S-Q>nbi4F(YZZgg<
zAZ1o$%teV*i#1B5S_e?xg5T0-=wgRV7@XncR~`vNIpRG3FR1IIue@cQM>^cxWhGfl
zK&(n4n!HNlDQ|g(2TLS0i~9|puDZAd*HCm>b@5KUeM@Rql{+k>a30`K&6?M4OO
z3$WcJVHHp$$*F*9v8sS-?X);0)rC$Wfb)r1#3{u~Jw(qbg>!n5vd_4dvXC$NxE4}aml(!T()e+?_1rTJpg;Cy;8=$Ma#R<5JTaNaxnBr!xbwVPq
z3l)UjP~PGsi-@qBQQ(E?ts$Ansn%d_u}d4k%<}t6)hT>k0up3bK+YKCh~))+$&?Ax
z9TV7{!*nS}lB1D1gFd8Xk((=K+y$)@NAOa-a}m5fU>rS*;3X8Eq4JiCk+NLgB4|ZH
zyuFZY6tqb01iwn2lOz^d`khCY;4v-M(iS-Nw}YaVs}P>Epd}Kn64Ycfj%hgA$U~E6
z)l_(02$3!r+!%Z*i(7s;uyj?*qrM;6vK_vaRqza{WQbz|(HddJD+qBss!Ca&;~AUo
zbFGKIX@nD1m)+2t35eAV6-{0@w5O#kcYDT!nDeUbC7!Oj%NiS`cmT;uH;4aNgRp6|c6X6=gleWxjZ-`xX**EZFS$v~h
zJq6wv-7=38&ro%^dY}-z>S3O1m5_CdV?@N8!+zd4%YGZh#<+i*=vVrSo7^+(Y(wy=u8z)id6gh*y3~g
zn(u0MffCNiFy5MC$U8U5tB6arW~p4-u&Y(A&y>z6&6dY+EN`#S!Q9Q-^xPEPHwA^e
zLp&O|;usG2nFc9o!tSEw%~pN9TE@pxqf(}8iI+{(CMV~ba81>+^283ls(7|h-v$>P
zH;2~LXLmJf+pDe8=$a*^l`Bp^r?d?IS-CR3g#kXXqcT;Wg$oi@Iq_o$;Z#(Qm?Tj>
z4F3rhRdnh4Eee`87*g?p%~g;FVAXcGpb`aRvQdGn4eFDvo#jSlRcTj!t~6er0ZvZ<
z_Zzisb1gWyx>bTQ@#S!kJIGpXa@P?2FgG*71>-0yYDd~7>#r_dvUdI2jjOLHZMgcv
zE7q+k!GCMlZ(3V=8Za9q1|+cD9Gacm28HI;%0y|~E;=6mV#H$;<59X8E+(BIxm4ou
z7{ol4lM{uUlw##1IRW2Tbos&}emdmFq>#r+avwGvk)$2E3cP{hK`s617Ndt_09
zpl51ufc5JpOEdM>Qn*5;QaZ2NYR#@%zI^A-onzZ)=Emxc?aKiQLTE03ve5idSklx6
zhERI4(jY$yj5sgD#p=CkA|G*4N$!eucTz$_!LqgRE!SF_!b5Y7+I(^e_5@$>4U8d7
zC2+G0a7F>7zbyEtUaRy%b>9+ZKxx?yHl?sLf9?ME$yefa#>Iyal9L42emWPqMsPUw
z+e9p^>Ie=WOsj?y`93Y&e*a
z??bclLCR|e!R>uU&6D!>MnF>Y#UJKq-T|Y@YPd5T{uX*62`$O}hz-80B$weECAkM^
znj!~d{AP~nZ*AY~pg>okQf!|xk^g%wpVb48vO7oqty0iwf$pNMV76dk-dwKKYdJ3Y
zm&4DMsrmN8MrE=#F`v8wa4d}Jrx@j8`ZvOR0Wtl@sjq9wJ)hhTad}yaix}WU@kKD~
zLIWv^KMg$Dei$ZAwvG3=j^M4570U64!$>Os%sK=^okG3+nkgCbOn+!4jFa&Q;|q{!#U
zKqda)<~tR$0IKwngNc%FX0s-KU!d8Y-44%QE66YS~73}ekqG+Xs+*K55TN*+C@LgU1il=a(7Fd$uCs{%B!~m$A2$A+n&PyGJ
zqwjB@SDu*Ix{ZQjja^$+sDE@x?)Fk)^sc1U&~ybNI1{kyIo&pc3s-*34mlIV&JDz|
z7#gLI7r-5*LC^@~>gW-*(mkpO7cnyzH7mg(Rr**)Ow83&NIlJm6omH9ey^ko$Yd*=
z8A?fKSvcfcjS`w{E0{9{6%fNbX0@bX80f
z=u)>wTtZxYK1_;h&e?t+;NG3HO@6+(+~`+GLiV=>QOFN?Khh_}-yT~%0nxmfk~AsW
zeXYX%#hWYf&PriUyX|+R@3YCJmnAp#hGR
z-N5raUAu7uR|9M}x!Da=SLCs@CH@LZ!&l_Vongf>3qi;&%|A;31;sAfmzr
zI*5k^KxGF}S{LacI#HH~zDO&t^xsm7vKer2Rmxzys6}}pK2fC%J>_aq$o1n&nU4L}
zC!uEt3ElG6$+;OSAqaI{muB=)Oi1bMYyj=TYdxg^jy0_
zI2_jZ1$JkLHRVe3US!Zf99EHnqUD6i0yD0N7LAL&Q#5nF>Z<_lp82ZZK0AKam^Y+|h4{}#aO^E818!FZ(O^NhX(_*Hv5|u?j;#rhAl;G?_tZbodc3IXr
z!KsHk%8gw$$W+&6W}(sn+!^RaRW6mOvC`_s_PJ>YGm84D+Dx-mo*5U1FE{75(S>Xr
zpOO$~ca2>HM($#^aV6?AR$A98P0zupidaBVA&BLYLVoddd3JQRUYltxSzOv#t&Ky<
zynG{kraXiWxD0I0)|<5!RL?A?u8X0D2K{%e#MreIt8=inqfu$iHD<8bi|%BH(M`=&
zWB~Nqi~f7l5o-2RO5(wjep(tc|XZ74(O7*+^2XzZiTB+orV1$=>Tfk-
zQr~R>NOG=cD^eg_eV6DGS`sm*(dH5nOMr;Lk*%G@e**cnc3n9%N#i#~2;%150mw2pUxJhf=jL^(<)LeQCcxrK2gme?o>Ri}rQuXc
zu8|TI1%>^2y=5_dU?_v3WODg$_s~JNTgiFQIsBN22%Lhf+nWhh80&)4b4rkVf=H-y`I5pa|$YWkFC)@8_P8)
z+?9q%{%H!~9|KTi8}tZtjj%x{QUGUdqXFgO%a)ba&A{rXHc`^&8A5H;qA{iiIFv$?
zgVBF72XtiO_Wh9N9GpJf(>22G{P`hZmG+17uU5ISz0#Ubjt1C4Qg$#Q0T#vX70K4e
zS?Q;S-nO@+Cj<~8Jt6w0bFNjMP^{ECbtd5;tXvVv<(vB@-mWOa7fM1cL0FnQ_7Pcl
z+tuyZE`qSv01ZSCmY(_(gk3?Q%KCJ4{;8NxM)kX%Ve0(`#Hx(gRueEA5HOgpP0PeKlPDH7&FUaH0F
z+^N=6BZNhfsvYwd*a`evoFn)R4{?zX985tq3S7QCKwbSIF}YrmD!{85HGWcoGj0sl
z^cB!GLerl>^H6^ILK@C0O~T#d^~>b}BjWYTrJk<3@FxdB=i<0YZvAp4bPp2#iwKFL
z^^0mfQmtPM0xE8{3p#+{B8)h}T}?PSCqgN>C>2qH>t2lT3P#R$a!z)?#48x-PbeX^
ztYCE#3Led#|b`jB8Is6~f<2)t
zOl~YBpw{l~XIqqg(W?n4pT)9}R!FY{3l4ky%>rruF}yxnvqC&>?H6;{$9jgX`%XUr
zc39V5M-mY0+DkNf*IwBv)JqsSbH%@Cj(^NEer=6*ny0JorpB((Rsd`_sdp^OOv8b+tU&33BuGJ0;hLK#R-RdNT{vEP{{%v+CPC@X6M$d>as&CEs8XO
zPLyR`w44Hz&RZPXHGrO>&PmAT{y6s
z6QID2(o-`Zn?J}HhSd4YuS#Uej=u!Rs|%$$$%S~SFH#WNGXwEb6&-Be={|xs7T45h
zG5k`!1+23C(jOuR{h5#3MZ-^+;1D6ndg5
ziaAg84nVnQp6KV1a_or;T97w%Cz2(^6WxWL=mw?yQ2hiUTcOKXBy-iIYHLCbF;ytz
z(R>ipt<=C5ZQ!v7P`o@I-w>}6)=GbB;l-p$&77}GKVy0C
zSSmO6sx3>;C6tRuU*shfh$Bk0A&gBuL1C@LmG)3ZWa)d&Ol{1b({2Lk-rD~G3RxZF
zKN6L#jskvVoMg<$Z0X8tI`gdE06MwQFDHe@O16Q`8@_;yUEGUFVoD(+E4)-
zbJ9}Gw%miaHpD=VcyHCYApDc(d%EgWO-_T(#gT73HHo^*%AE_Ld#6-QE_od2yf_^p
zS59}W2kCf{hDa`B6VlZb@@hD`6;Ic0*pYO@j#-Tz*&@DMJxJ%+0p=*TcvObUx_DHr
zXLMqL6+7A;y$(}2eqZbk3Dwut{Rwy$045{PW}c*2;Oa|
zn>L($B7l6H)^WV=1NwA6*_d&E-yfo-;tA*cx#_ctBGvItJeBSS5M@bDSH+j1T
z6hcu`s!!a5FeBst*IBpvw1?G+$i%p^RNsp^bwgn8At4p?ex<;sEuDWCbUJU8RxjPTmIZ3cs$;yncPS);&`!ccnF9dey*nLXyA+5Dyf(PUZqnddKO{ofopDJSlm}$@Gee%|F9~w>HE;Zg^w!_3%$ldAjOUO|FN|5wZE3pnIoO
zb;joJ^dKEiQor1C@XO!P6!2GvqdM>D+6^mS(+w+JarwXSAf00cn4w&RLdbp5x>2>B
zDorcilO{8w^0$n+Ra|Jtyan?zeodd3or^At!Y>IR0mn^n(h6KB9!Xt$7KQ(20Fp8?
z3tb~-)+M+dN^*f~B=oar(%`$CBqH8O*%aPen2h6wL!IQeM+fn@ZHx;h0zo^~I~
zMI)x}kFy^%8|)_yLDvXwuFFKaax;CfgGAi61;jwlW3A|kp7C~J8Ut_%n!}DK6k%+Z
z__}Dbcv;Zh7GFQRkHgK!*9)B;HKbg8-8G1kWjh>h#o~sQT#`l5Wmc#%q;kXi)u>%1szfJ-v@T*D0)igjo<;fU_E!o9EGP-2=q2}l8x$(i_1#G-9v;F?MtTFGb*
zBqDwpN{Qp%OPnrc#RK9s!dm5zh`$&ZpNogH;EZh&^G3m9FVjn%pd-aj3(v@(Aj4xl
zPKU+MTEXryY+F5~(H*PPp|3SIeggpk%bAajizdse&5Vs7pP4f=#F3Miuba{an$KFE
zu_4ICa*|fNLo{St9XIjO?#b4~fTN`2^C%kd-H-vxkwVtjzRg=4*
zb3|PHjnKVQsygH1AN3#|Pg0-Ma;VDJ%@poWhokwop03@n;ej|dfQ`s4|Ak-{Ez4Bv
zQ!qp-Enz3dQPHp6H7J;85ifn7buODId~vOZ4JcR~zPNDaj9X`CvF8qKB6c1eKq+P?QYvr_
z9?H(hSoiV(WZ45+ij)Xv>st5B9q9ZNhNr+R#M#A*JR|MG*m*GtnvX6Z1Yum37`JG%
zcuUaT7URCYkAuy}xCs6I^M_?nyG1QDFpoGi-uo*`-z1S)Bd
zElN;)`?UcmvK_exx<=TM^UV16I(O~3ZGB)%lXVf@{!qYBIlBFRPuB>WlZ$SD1Yifr
z-+Ks&A~#C4jzv;7ol|4qgjp58s?Vx^9e9_Al$s8pfJNzm^XoFQEdvu#k!=}oQu1zz
zY}5M25!uFe5!wDV3`|6}>8U@F?Um#8>Dk&;W$SFCG8-D&cGZjP@Vba?KTbp$b!emc
z$o7GHyNnK)KPthcSir$eQxZ-8E+n=+q#z8Sh}0ZjKDfOX)1-R*E%T$*(w6z^iSXY^
z@ZTx$-zfa|z3TT-S2$ptBA<-lI0h0h=CW&JEQKegq!{KR#tQ-Co<)q$0AT3Ce-U(5
zkb>fo`!aVS9(gBhkCzAEgY4k-bJd#sq5X|3;bugL@iySnX@~^VCMLXy4(>sOLs9U$
z!*WaPmlan)7vUb
zlVA$ckoAA>K`P6TtVXU6Cr@GKOPg;R2VJdDa_~I){%;mBw5Gaa-VOwm|{4sI@~Z?tHY%vAo+B0=mZGq%tU2oeAm|P
zjq+?&TJ+%lY5?uvSAg%8NWKpz+X6_#i+&_cpnI~Oy82@{k&FJ@0+3~A{Z{B2!N-NI
zIk-laxMW|fatFm0lB;_>_~>qOWRShhAJjeNbK!Glx`N~E^Bz2ek`E_$`}@g&9n!DI
z%nn+Q{Y?Oh%;HZ#*9aCr)m)Elu1&*CRhfl3<5@7z-8^2YzywpDYvHBEla0zvbEv(T
zKBf0?)9-W*<}H|M%6$DtVT`AXMcO|HjGq^2|LEzeOJDMK=v
zqD7i&UDFG4E9GnV1RU5)#4m0+_eC17b3T1mvi*gpXJ=Sa48m?n6?#s()2LT;F6{6(YVuE$&wXt;R0^}r?nR#
zgiD(0=cJ!59rp+25A8)_VQGEavcf#l+EF?t1+7ZuXuf+QFkV*|Qw>7aoGTQB-AmWR
zsH}=ze5RvFF2n&1Wbw&|$J)7AxC%{C&8K9yF@Bu=BjVIS
zd!v$BGR3cEnX?OQh$()Bg3#WbH0{n3r-Mk|hT|ECB|fg0)x`y*DW*9?{9?eoXNLH%
z0hlzzf+S>!U&h?_8R8Y1AyxvMx5FEGV|*H6i+@oGbn-bwZa8^>akR^{%?Q5~-w;Ol
zel@@#BP{6wMpy|>tP%bed{P+UZ{rggVR|Yu!UElHjPTi--QbjAXsTmbm7%8W|yxuwlJ^I`%Ur88Qq@)7kXxNPXHoFqbmqPM)zUnw9n`+)r>BSZQkT=64hp+
zCK>`RaW5$$PL?6VhLh9qpO~`xXsLD=SF6_4}<&4K~ZlE
z?9Petl-NmvbRURE%=`CpB35XaQ!I0ac@tpWGsFBEBpxTn1v$ttUyYOr*-o`wT4wFS
zkC325^m|I@l6N3(!^ztiMZ2G&%L|SVQ@Fc9w_dsD9w4OfKb{xfoYFO)&-JGR(>qth
zp@A^V=|3qNkzM*r_*Pc$GGvi^pgx9Zjj%rW_ds1{+XJNxN_vHd{ay~Sr>Q~ltO?6ttQ%Fs!u$9SsWW0WAfa2U-+vIJ=N7Z1sd
zM7oQ)-<9Z+RlW$Qtjneuj0y1;FHjKLvxD*$B`NyuEZzWv%T8KOXYm@#3%Z79oW)In
z-Pu`8X`O6DvJb>rJkkiCD$*DFiYbygU-4W(x@W%P^O1J!D++3muXsKZCd5~SBjqTE
zB}bHB!f%vOQ>jcbuP8lBUWynECog8iq)jzdO&1dBA?^-+A{xFZrD5Ow!Z*XWvMQD#
zhV%>XMYKj(^!>u+CNB3Xug1%OF@IwT|>JEw~
zuRG{JGmD);e@7+AG+}(fGd|4~{H&*IH?H6pk#w3Xm?tH>f{K(mS5UQBT|w1)bdhW*
zy0i%FdtEerc$jC`;#0nq8%z
z7U%CffP>5V!*=2P9kEk7fArKJ=kJN^GO5f%?jQ{-}hsPUATUH
zYe5D>YozdCvy+^wvOgPJFv1vZv2RvQ7@%cWAWYc`UJQ>;N
zQ)JBfe5%Fj^QqPmr*J6ZwB7wc`w^l(%{pBv^8W7e5K!~}P%{F(zuN<#viB#=fHYW6
zl%@A4&972ai}&|gz`^DHVY~4DeveO-F{Y>fczR(F-=^75l1r+H;b!eEF&s(
zwNgBDuGRs7ch6j{a{!ohwFE)PPdJDiJf=KM*S&TwZoPte)YGa3+ey$@R>k=>>9*qgf+zPkF8rBzy7Es
zvlmnDb}QchwRn|y1}E(nY0a*ThxpK~_oOf%y7e_WR7Hq(FHwa$kVrWjPO1S+;H)1q
zA#m#7OkMqw61lhct^j0tM@LBm_Z~pk<>X5hTCE!3@N`J6a@9^8+gM?ou>!-rYlhcF(-KLwBX#
zouCJKci&?^d%e30gm;IBmlwHrO6f{))(mXK#~B^^H%m8GcBMN}x(B3WJvkl*1wP&g
z{u5Iyy_;m3D1Iy>3l#6Ci+4KmJM0YdF~n$uwZ!k@tIM646*zC$7u>&Xg)2M6DUAbolAj_`Y7U&uw
z8J)Ota~^DZ>&hJiU$eS$H+j&IuH1~jpLFGrcu|~odu8m(N%Ilq%1JA)cxiFvZUb~(
zt{k=tSMFW-M6Mh?^~aSvQ_i6r%
z$%%Y*9?G$rxLuW=m1$-_JxY1+(Hi!D^w|BAV+
zC~%za=PBj;>BQ~#tY9Z@A#?@v&e8!BkNaf2%d)N)9xj=Y1Pafg8wWcG=teSf8-%t8?NW3Uc2l;o>vPdK7
zeu+bMaw1T?wD@<|1G+B%4%>x)cPl=Te@9RK@$V>9H#0ZAl@@Y%9BrtF=L^*tK)dkq
zv{0P^vM5w%bTUG9W{a|Gdz8AI&-|HHDBHxRi`r~_1
zYz?gBA}Xwo)W>-qv4FwgffE+o~~-z24Spb
z8^%nlT$_QaH%^q94pg7^<7Z{lG{ljiry1`|`$MSwlBH>4Err$_ct_)MTj
z_94V*gmuL4ku6!TeC^Z^lf1WbJmL+-*>=QBAON3<6oBF6?*a(K-WC!la2kF;b?v#g
z_5A>3IoS0ObdBInq_>5Xi(<3eabj;v>bo>e
z?w8oxl4e;k(&BCH_Z+vkh3&%I8p9{@w&QOKA<=2vB;X!UUkP`5irYmI`?o*76Lnj(YksF8(48XCH}>r`(z
z22R{kN1193P|3=FnM8U93^6+$IrpAkZ+St_jb-+pJ}t02?>$W^o?MN@ABbysL|QeM
zGN8~gOi|1^hEE2Rd*&G4j+EoAr-Byb7+!#63E6u3WZ@W66mCQIe5v%5Iw+89*2imf
zi`&jxt6Ex2VzyYS*o7T}!6JB6Whj=KS0b0Z9I+oxUdDrvw%6|#4qpF=+AmJ2-H}tM
zA5h18BJ`gWVaQ;;4L+9DMP0Q(8ss+BHzQsntRsHca5=F84jgDTXgBJ5U<}4&mAI=7
zsTjGfSP!NPFeZQL8Gs(HX+vMrf#AdGK1x8WyHZ7yrB2^GoNfUOQ;IJ=n`C~_gC&yr
zTYHn7e!|sG8)@OjYytoFCv1tP=AFb+DZaN(E$iZa`gqCIAN
zv^+JtYizvUsEjGIo1PXb+`3mTNWC|h5=1;PdZ8YGf
z!DY)z>+9N-jo#Hn>De^3iz=udUkU%>fMM~Z{UT4-2#L$xHuzG29VAgNBqVU9Q+nvu
zSCmq>laxZW9_OH<(xbMk7f2;S(`})D3cSrjB5evpA&HV>=hx*`@6wl*PPh9d4tU7r
zhLTxJz=JG^<2ovA7Xgn4VPGQQK~Mb&c&x-wfvh$Njd!@Nde`A~5$@0mdK7jIRN{QJ
z<3RJ1VjeJmRFX=<{iBRHnhUCsGM?`#2m`q7*&H4%@{J0fg+v!ys6%ToLmg=Y8UXQ^
zNu&QFtuiU&40Zh8@`An|%Y-_96WE#}l?dhsJX|adpH;@2Y
zG$T(Cj%Fx=#p=GP)+dB;Txn@Ls5_`J!q?T<=^fF+WV45ynnQ;&9_Y|rKwWzl
z(|C6PlDsr|Cv=Ta#3x}$Vk4hfUAjt~Yp17~K^@ch28J|9+p<0hF
zBB9csc3~F~MuejqKmUYxl7~3jgom;bCBDwD%Ls;aVWT1#av7mS)e^xVv*CzfV7rK5
z%)-D#1cRRX6Tvtg{dZM(8g@?jDV~B22G>RWLOVN9;?}f>FAmV~mrE_wsTvN-fnl^2KI>ZdZtDh~E^)g7_eSj7(
zCN8nPwxcprT1jQ|#5eXz-k2xF}k$83h
zvdrn5krLr%)_27~aXiBJrczPzRbS>Afo_+QQ=oH1G{T2Tkj-j)5EOIzaB`QwpNvHy
zD|#$9L9vLB1)#{%@?q#2AuX%TSVT>v4@8P+q7J7oUF}U0&&#yIkRfu!H?UpAHx7F~JkgdEdg@Pn<4i1j
zZ0x8^(1}h>XMm&Jg52)5xfWDOIPXF;L3R=5;G3wj@F1S8AFOwH1N#y
zTs{64kj)bC;6(WEB>3+X_-}N}JQ^&v5)uGd2@47F#Zj@0+FvQ$d_{+qoH_)S;pu>f
zFce$xi3|lj^~X>wY0S-pR&Zs#Cz{R2M9c`lbYT&mr+|#YzF|1dW@~+NYpYSlo4o2!
zc+x!o^rfX{r805;`ua>|X{lA4uGHsR{FnAh6$%t4n*94jW!v2Lty568GIjonr6v0F
z{EN#|O@J`ls880WD&o(4dDsFPkEjZxXH&^`u&~H!#8k2nGt*EI+7o?`r_x~ZanzPZ
zxPj4{-MYi~OzW`Q#}pyLosC%TQTEQ#JQg*Z416(=KO2p5Mtkp~7m_79+IyZaKMGGK
z{MXvxp9wFQb&W^sF$zC|0cQBC4EU!j_@`&!zsm;y;w=335zV>T*?I#~9n!!JS
ztJ0jm3qN~~{@K*hXYE_20Pha^thqOGf2Ef;Ztab&av0(dlTx3ujpU^4ND$?t1x6bA;_H9WX|Gyer1&mPwnZY%DrVvvH!UWR|7HWZP2PfL&}G
zr5A!N+bSD;7uy(q9NR9neWe4oiH~>1wu1~e!p5xwv>uXA#&0Hv%C@n&IJ6~>LvOA#2Gmf{>vQAt8AljapUE2+<2=E
zzKa_S-{8hV@>X|P6xaZpO55?zdM&4q)U?Ic9_ZsQ*yAsTKUZvmKvmpmO%cm{IOQUcmD4i&AX?!S
zZiB5Eb2HZ32How{087(b)U2e1;;NT<$fIX7j)K0{>W7O7h_(7bH2JF^Jw#Bv(y
zRu7iAisb5tr+d2U>7Cf>hcXgC+o_Q!2v>gra9l^8cjg&(U78s(XZ`ZR?BOQNEnRVPc^tWWKz
zG_1n!4L{uDLEFto&K1rR5UXH|rfvoMy&fzz!Tw*KuDW0+E$AGcK2QDvy1NO&f~^RW
z6KvID6>QadQV_#6!4B#VVv1jg6YRS^1dSBz8#(%t%JzD7sARJOUcp2YuT9pS0uXaF
z?xhm@7w9PLtig3I+bTmh!oQ#>bF<_;l*g;+Q1B+TUNO|9#J>-D1Fc
z@f`wU)eF(otzJCh!BW$U-*~!qqZfYw*lvQbUMPa(^g^{*^+L5?-$!9l0?_W~S3n1G
zG;uokO%L-Tb?`#X*An5iR2$Kdh-R2uD4V3sF+%O;niZ>RSz>dnWR@01ZBn
zw{)?(jSx{0Q4)$I}wmYTX<o#l?KJlcJM2p
z2>6{iML5kv)<{LTQj1)sDsTm6OmW9Iq*!O?VEb4D+^!brg>bZ1l^~f4`B<2wR*sb}
zs!Wz)Sqnc}b;5{)vNjmMDaw%^JkK*eH``eco=rfkdLWv*)q{BtmYN>i?djT$9=r-*
zy9vU2pa_!F1Jz>H1J!zV$0DKF+wL3&XbNHyrztmk2p_2_n@Ceiquc8BDO!$SHQNF|
z4DM!`oGOFI1;<7;U~!5nQz}nP)VNW+RhyZtmnP<*gC6X$>PtYx`U{?sxkZ9?FL^ymV6gryGg=YqDYd{64heW64kn<7c!w}
z*zO59&>h4tPIvD2up?4;p3c$!VC`Y$nXNSNhRX8Hc!leAP=USLboS?lU65??r&uP+t+KEhptK#noeEWl0Dy0IWaP)J
zAg0Yqd@BN2Pd>Bx;pZwWw_IsQhZL^#JsGW+mFUJWicMBbA_VllbEYxjGK
zr8G5s+=G1=cGQDMkcIuQ2R%?^l9&(p`^hax$b=|~aT_PT0z~HUWTCA4C9b5F30EZ(
zMlm{7Qj5s7W4}cU?3XB`{s|0Blu^@Df6A!WG|MyK^FIqVT%di~IypBpj?HpWFAM
zY7YVO<<_y6=BA@b4#$BJ#2Xi6^U8&L6Uau%L!}pO1!0<-sx+4?8C#AgWiKZgn}_o}
zE0eW}`Sue+q^+=0BSkq^squSI!=6=YECG6;je`v%OdF~g_#=D+CCIvmV^nh*-g`-9
zrqaMljdE$CMw(h~?1J?A>?|%ZAi&!wjaTb%a(oHZxg^!OguBh*+TA*)XJ)5rlQqb_
z&>E%HEbXk;#;YL(
zwM%_7Ee3gvVXd?~c@m26aB`+nPv6!gF@KFb3bdHyY9%AyX(dYF?Fg5lREO1|T!I)W
z*@w51`@nCP#U$Xu;MSG2xa4Y#-WCaZfrP^=wFcZ{2oj88E+xLWa~Gtx&ebO1SoI0I
zlAnHk07UYJNRb>)t_@%kJK@NrK$q$w>gr!^MLOZT0+3}VdnOvgW2OzNb6Sr^DCGG9-@ky~u-xbe`|@_mj>u5-*C=Zaz(edabo4Ow=wE;--8sr%RS??G8la<`p_1(izE~$Y9ZB+UIH-X*
z$tQT&UtG$ZqMLJ&zYOU2%t7Ac&eTB`bRkFPE6jJVgZ!>=2U#(7_d3UqA&iwaCkF$Y
zzzaDL|0!Jg=0kxayIE^VmiA|)`|K1y9wj--x*TC_7mo02@QEB@dg_lO
ze17U9@*!ApZt%(=H`oB(g%h0ff(*cxnDNmC!;{hC!ggi+Xc_rIU`6q484@RcpMuc7
zd4TS(L7!eYzv(!Vzri65#Q9y6b$-oZ6~=~BWOJ_Xy8!u~xxQZoU@|r=s6y__yP4-+
z*Y_Rat}l;#_d33h8GMx%C*Mb23@6`ZmPoVi%YcvUR&6CI`gSTs_vQkwqkgv~FcSP*
z_)MVF`)kB#g!SL=^j_t1dUNs|?(+5=u9B8^&q0Ie?f+-4IV8X08cz0sH+(E%cNbX_
z=mhG|G{r#l7i^PlK
zbdb9%jf}L5?w7b|Le6iBmlk*TGCufW$
zNMh9GU7cPw2X`!vh9Zb=9yfMK1_bp)aQHZ=Cz$JrnMywy$(>>Wlbz
z@g!gsGkd>qIc@(7E4El!%GHY~StycJOH*~;;VyTAZ&Rgs_t`TQ?n
z3VBzKi#JtTVxL@X8Y+Kqn>NZmUV%50-YTEg^91)-+L1gSPz3k&1pFr|VK8{(PqZ6h
zL_19q3~eYkpyUc_P@2+m=szjK&}{ic2-;B>?b?mi%iFIY9jpW$+0W^O8tPEOU!
z;`kPH3~)~+T<2Mp8!M${gen_2)`Ir_vju%XTU_SnE#B7Rna{5BkV7w)7>2&4)6DzC
zE+-&hu=gsBX3l{VO_o|~^TwKmL<7k^{>xI}&!rx+A_w^NmbKK?eR|71%B@Lv
z6}O;lY)Wpe2Sp&y8A~Z!52kcD}@hfHqiVU>Cf0kNu-X!5EQ
z9eu>OT8=^bpa)A$o&LhpRad8E7j%v|E#||}-AxcyCq9v!l!WTpKm
zK?qC%(kRXpyvidIk*44rImyu~L7x#f=`*72<(UdI%Ldkg%&&?Mq_aQvjK?jatg}BL
zAXc3fOSX
zTia;B0U^tlmDbIS*QarZ=C-K{-1s!Ttu`apMliukmJ8be=ex0Itb%Op4!<(D>&3jk
zaVY(ybTsv!loXLc*b*>uR{QHcT_e;icL~&1fbF(DJUu>*kO13bRVLMXes_dcG-`JV
z2-Fa9ic`Z)9zvrUvcjM=Mk$P2W4YE^E>xpp?lLl-RQtvZr?7rPx`bASI#gb1W031N7pvhmrZ@r4=wTs0F
z%n4mKwVRkmp|KAz{j6cd!cCoM2sz^?0f6IVO
zL^L$t_XLO4k+8b3HOoXOT0$DdhpiZ~4NL0nCts8rmHuF=%ijN=IVZ*&n>`eScCGKm
zCLIP!qBZF#|w<~oA9
zo4EHc&2@$aIp=7W3-m(MT&r#HU1=_cAD8C3%J!8G(p=)>>0FRKoFi&YU(q;(5ZrZeZ*`|v&TvV#eY_HA0#$$QkFW*KsG*h2hHaAnljq_p&2eve-`yDjkcpj
z8B@Fpa(36)%tX1-DDR>}7uUi)@>9ET9Wo9FFHF@i+Rsr0jPr{V81Qt4GMvsJuHle1
zjkEPxyqg1(vQ2puBc=>A+2x7LNWCp2ROH;we<=~7Rm2B9zN`-PR~?}RnJtbKUSZr
zioY+&E<%oz_TLd>%|%vr5;LUTsX#KW|F!_A9HzvnQ4eio-C1NhpS5^5b?s4H{|1i)
z;dgoVz81RrW^XO7zakB?V_e_n#NpX6CHC_8+SgH=1{rg#9;xTBl>UCzM-0S3mZF{<^%0BR~iv_pD>)*$pat*LoPhQh=0jlvTp-);rt
zFuZhhqr&iV`J!amh$)Km0>1$|<_g1OyNH5)1O_IeVD!|VDA-wZvvBNEMQraxZ#Fa<
zcA6s^mW5du6>Hzr_xMpB7YbE>PDbuQnIQr_T76LdAfvU}7cKip56$+G-fq4@=?oc<
z2Qvy`P7fgg|IaH3yN!m45sQ=OrMz;lJs?B}|0|3f%lHWgMADHY|B8d6Fkin<7d%P?
zL~{Hq+%%eEnG1~E4_NmqRgnA&fPrzN0|f;+Xx;q)v)dk{PtR97cMY82r%n@u(z8|-
z?*(YJ;F!UQwDh-x8E&~Ct#3;z5}u|*JTdatf@~{9NAL{KG5EDIwFD0D
zwEaG20?JGZgsUbeRfmPX%!HI~#KN;hE3hGIvNl!06EbN7)KWOr60bgmEmAOoW>a($
zcQwn+Q9qKzX&-4tT^ja+Rweah-Jk3f`O)gHs=qeaD$|lb1a(=Z-tB8{#U!BEA*E%r
z56-rWByIL*bJ$lZ)NOg#kV!2ad~yW>%V&I6DegqGnpik$rc@5efTKQUQpnl`-00lz
zCNahV|7`5inNrzmc|q5GIcpvUvn$BS4b%SgsI%>tm;|3lQyXfGic(*O&IKEK!N5A+@%X;
zVN&YDIx8(m_IL>y%0DqO(hqVvk`SLB8SK1E1p9qTu#OJ%(08KAz?HUNP0@tBlOupG
z*_lZ>ilzG$+=BfqV0w>wS|O7pJ8VX{&wTwToZtnrKoG3OlH
z1)i>YyfQY&wiaL)laAy5igdZSziP2YF;(lS5hA0=)c(KheF>agMV-Gu4ww*bQJ4@O
z;YbH26Hb9}Xc7{LKoVyX2qK1_>7H~yX1d2dl8m6D;CT*In23T(5Qa|NH&wcvbJ!t9sS1rxORqt27`W;o@s`^!x&sWgQ
zVQK2fHodpNHWF99mOBKCI^b&oCs9`W%GcQf&4CBC8ssWliZI~Et!%KO%rHC*`}w#B
z$82SGQC>lhT8~g5_l@Xw-iq&OKvbyr0!?dZHFK|&3cUq
z`zlxVU0o@IdBbfM4O-;^YiA#j(WlzD88mZyHz!Kbk?r5_sAamkx$WOa1dO)NlAN~h
zyy^1$4jvWjf54G7kM%zYwA01GtzU{GVf`}2X#FyESq4LpD(qy*4c3p;{jC2p4nZcY
z-`Y=z1>O@fP~{6?h|)4HfGwu1?gieAr^B7}ip)^*1jy=wlFAbA`VD*rk8as~^62JG
zE7|QfE$GjNn^PsY?iO-TDqL{GCc4GYVHzg9F}J*2uSe7(W9kt>u(xwiF3Pm0Yj^?&
zBxevhw+s||k1fOV{I}5z%<>?BEhq`cU_-Hx1%LzK#v+0OhK3WGS&>7kjhgX_gQFbn
zo-EPX_LUq=K$}5;vFOexmcdbcUb?n7Lwp%rj7-Jo+5Qn=vS3qdwumylN@K1w<{K3tX%0`%tS;5ZS=)dixoOgeC6CMZgZf8Hr|*u&jMXMw
z$F^mrRe^((&Vp6b@f(UeSzi-H=>qWqPCO{#xj<9Z8iWB?$5+vCtB8;CI<=Lh>cm95
z2{FGbi=|z#+KNXq!4+$;6M3pRu&zEm)2QyOw1UFA6~UROpK*S$68@ZdrgGO+sl2N^
z30JZ;qIKGb55tk^-p@?;3(^oxOGUBSD4LY(mq{pws9DF|TPt7{pt7BC3{(J*6OA$i
zZPzDSyNeAtFJ`9R4#wehtwy;7R?w)9wP6*$+QNnQRWMKiSEx?R48V(atpsBi9G|1j
zG%0Kxeq6d~TX5<6P3uS2ToG*9w)TpR>jL<1{if0N!BwDiw3oAjVsl`+JqFR{6+l67
zlOIyqfP9Q{K7tK(pijZ&68t<2Igjk++st16(brzWZ{ionT|PfepTCalGg4a#kN!Z>
zR>0rj0pj^VZ{idmK${co$)N#IaB%g;t(R@ywl!F@>6+l`H6tTyHf_D;0>Ywj{uW%T
z2)8yO9lD_rGzON^DAwRcMQA#%TtBkzGRVJX?ZzuMZoLKvvl}*U-L!smG}y3tBv=z{
zSu?VAIUbp3D;jDoI#;y@;A0SF9s*MMy=1^%G`O
zKkC+|4ob7B7hMC5K(kVBPnLp8aaS1{gYj~87ihi+v(?k6cd`f49^Lyn8Eip+9uKal
zj>B!6<$>a49d6;Iu$`9D;DG8kPT*|E5FF1|4lb;;TGOjnt=heN_wdeId$``%xeBNt
zh32Y@`Pou{fUA9DC_0g?pM`=VeihSVBcVB1a7ICg&P@sq-
zI`>GA>XGOQB72sl0jgn1C>GcgfleNXWC`p!SrREI;X5#q4OgpUAE+H@{7tFp1&ni{
zQ}I&@o3wZ8E3?975s&i?5b-JUtIp)yqf%9f6s8)*B^{G0cu{Rj4qX!G%Q~6Rmpwiy
zl1F$Rk|8dmV=xYq3KU!^Z*(p$wQ~_JfIydUA^gu6EA8!hsHw
z*?FoKJTnhdMYY%uy++qTjpFTtHE8A<`XJ02G;@QAzAfg0)7N4yoTmlPm`dp);(`^P
z-k!w*nzk`n903ZKetl@n^G#YAi1G;CsIPPlz1mbaTU5-;8CO{~^cE9+n}#@jKMlR#
zR7w{bVugEZ$eo?X#F$!&u-llJ6ENJ*bZflqo8-;$;YJWoYFtdjRU$6t1o$pPT+HLs
z8sgdT76^(Fu`$R6LIAuOp0$(|>Tx2x#z`AzY|PPXi-6`<2dk-XTYWu?(!QR#0HBG5
zJY9hl@)fj=5At%v#GN)p+BwujHGBiGFMKcjcO<~VJ{PdEqmrmU{ST~Q?2zL^_)eg~
zVge4Fo>^&#VFsCmuSYozhCek>P{;nd619oh-@&Jyg^lt=Yi7C(s%Hh67HDD6RhxZD
z_%SFl{4RXOc0HqZ!jB`bqH@R=txPTHdq+=(feLfX-{M3_c+jgrb}Y{7d+-UfC1o1x
z%U9wmKMpmDK?An}kcYrr!|=cwWdi`tRX`BUP8golU|s<-kJ5ZPMh$SV1xIAIYcy50
z0*9xiDhy{@lQS%LbG$fNYy@!qM7umZ0D}`wDM@AsN6&mz1SOX7lOi6$$4A-NtAb07
z)1lNwWD(-e1FD6b!}z~dDcL85N1!qX!^7}T=9yfKQR_DrB@>P8Elh@~xfd0^qSQ_X
zk;GdUwQWFmk${vGiX7ZM#sorAwhCEM2A;EnTLb
z>Y;q8)Q-6A>4$`TRROA7hpaoAYDaUNM=)gRFfuJkiEndP>BD(2O(R_8M_l2tNn2@=81g
ziwBt&^WVvs5NAk+H7?{yFzIiJ3t1YQMu2_WEG&RcbcnXdl}*}nI0{k$JADfN$vl?8
zsE|$a3yKQ44EXMDHDO$Yd?cbmMCE2XOIh{eK_N1O9upF=*16ty_Fa&4g@lNFk4A*_
zF@z;D+i7ODHED#VHHp~Bk0L_)V-SjeJQ@$Ow<1|0Yk3Z{mS_1|OL!B0!Qw$gqoV2a
z5g8M~hjx$1x<@wkGGi!1X2*0MqgYcFO<3SWF><+=**EwxO;Ly}?5CNDV8YCWGE0TrvA?X=pGfI;r56bG8P@FxoBoamV10)lREIBaZo~=qoFLWM$Zs#FGT#1Pj
zJ+7pNivt(+%_P~PuYTCeLe2tD^NUoOcWbicvPP;rhCav~sd9vgzAX-d)7Ro4_FukS
z*dIRXS`JJlbP)r=3QlijV^J#q4aNlvOj?x6A>=NySu!c)AelwfNO_}I?0i$jY#}P=
z_^IYn6MdU%IDJhu&LE;~rc%044=X&EdKPQFgh@LGiX1{Y(F7&tzU%iGDNgKE@df74`@Xua1H|l
zTG;@Ng2KK8uW`L;t^-4
zwgXToC`PD`RpI>J@)SigNe*GFqFtqbzPvmI98)0
zum$j65#T>O6k9F_H`x_pg7$LS{L8UwAf}gsTDe?m;(=RQWGfPaR=hn4J4Ye9mWboM
z3bpc1n0bPYfok+@G7h#>o`BoR%sxVH-b(Q)8q5Fgxo-N60HqS_!P*gz^T(inov
zty<-&=@y*4fwhLsu&~t;wyx80Oz>fo?UPk153x6R0k;U{-TuXWMWYYheEXw1h2wPc
z=u|?H@H6PWgW;E~Tip{(}E=grh0P?ui7o{u7*FA@De
zZMwgacmJ#5XqM`DrCOgVw;D6g!ah~BChP&J@G+TohO9DM%ORxlM#_zrKrVI|ja}*7
z3sw^mqZhCwrx(maQHbFq`=RqW>fjT#!2Mv0Bdh8M;jxg}BOZDiWVefi`+*cm!VhGM
z(GO(m1$k^j%C3`(4EPK3hhkFINiC8{}~pLB!-O(eycYmgt3)Bl*fp9W}EX
z2KSX05fP)Wu%!IH@)if5im$xMku{I6ybWmEMZ$eWiX`DHGR5dCGIh1TuSkQCD(>W=
z0-l20_<71L4&i%x$~LG|e03rLrTAGbblfrwd+4MlJb4GvmFQfw!K2AzjLR3?d5mdN
z$mB=gcGTN$G~AEAK}3vx#FCtTn1(P*^V-8s*LO3cs(L*&KJhyLCndQTs!(jMgKhNjpdh|z&31ly_;G*c0X
znF{(CMklb9S&UC`+JSZn!?*@^HN)&l6Xrw4%jPkQYZ2`DdJao+
zdQPTOb=cfxmaKZ~u-Z{a#qZ8_WXhsS0W)s8ACfKwHD1f0IDSzRXNJ(K!MN{u?C
zhNBvGJK%0rBO*q(Vo6T7a&$;9a&W0Q#x0Jlc^u;D3Yt9T(+-)~4TO8l
zCy0pAV_1^gV?caj*5Ckq*17zKgG|XB<|fLc_DC=A&)Ez7qa$k`iT>}LN%XO=wIeKli5@H*8SInI)`7+AFLfE8
zlAVPU9a;0pxB#@fw%U2v4hcJAKlDmo?BG0yoUy?aMN2u;OPz(y*;%;4ku{H;pW-KH
zFrGwzDjQN`e=1Wq_O1t!lI--5DD=+At6%T@F-J3lhNMl;TW9>mw)G!onDpn{)^Q=s
z5j!BZt^ZvHs(jnJSoIStlU?p{zOQp`u~gc@XS?t+d*+^!=uszKFi|}4T0cDSp*TgU7{mA7imneL8taknkoU8_kp*m2Bxq0
zX1VqEE=i%&p6gBCQY)%x*nSv&hsV)oaZxiEJ2iA6&q`_f<-uAKG&J(JF2m0mT0`r0
zjC&0qsDVbYT??P2?E0>S#hMuycsFE#8pPh}_4uxVEo(i#ZTP@hkM#CNRGWwEMTQlA
z0t#Z+NzZ+_Ugs#2|IO;bU)YNB0KSOLL;&BNz;^BczK~+W=)%_hUk6PqkKtn?p%}h*
zqI9yv@GV_a!o$pY>&Gq{q~HNIVJAR>E1R^M@GxKqdZ|P3Pv%1_Fl=P6wGXX#m?DOeFQCuhmZuw))H>)J-e^<8s5Gox;p-Tc$D=lG^Xay0Xs63N5(OG
zi6Yv>x(IJgwWW61MDj7S{4I@!x}A$1Qc;2S0OXCLBvD>`yu6x-K&zHKM2{so$IJ2K
zSz;oQ4iW45ltC7;`czy^i4VJ04H0hlQwv%{i>$wgQqc%7mKAW=I!&T1F`dyl@VveJtGMu&&
z_dnncXX6Z0tSjdJ5_>CUMPAc!)WxoD?lmtaB1W%aNlve!nI+DzVV3Ew4lWh@f3qX2
zYX4ycGJAxkydARJ1;XuL3M66wGR0{BGIi;wUHMXp9am1USETA^;V*CqF=63Wrx7E*
zGcr)+BR=f6GLHC;%RrTn_(UfyMtpXz`9Wm@3dwHNa8OwVc<3x(!#dN=b(qdhD*H7)
z(Me_WlsKu3Ms@t8vaScD=iz{jx>N{X^Ba+-9mAy$lLYM?L(-KRBo+iSk4XUZS>drzP~V27k2U&W`nWXWGchhb0Qm0ZxU`4@
z=i^c)6B=gCNAYACmmbf?rNVPk2d2(^vK0yISoUBz#aR%Yh~AK>MuGg}$aL?u79_JU
zlG&UOO`iv4#T$s2NW{?eImp%$Zty)Dny%vmsZ2vtX&w4#BgY{0O^*7j=&=fUjf2qJ
ziHH$Svm_^+o|8f7ha7cNK==n7Syd43I|%(SicJ}WCdJ4>xD;aogv%5o2$!jkOS2Ez
zCUjD>Ktq9a{9yNM9AZ;o_pOxGKCoQlH?S-=;8^(TG(bkV^}*x`vEgKvLFT_Z>Sb3a
zA7uUu5ixoNOLBUJW03in*Sp&;KFRWDM}<`T4!;1IJqDTk0~>aMaQl`5N!YhcG1|9G
zJvC*JX)=V!O;;U>Hw9cN+IUmZZ*_A4_`<%3V`nKBMOZ^}TG4?aaV
zEO3LJYd-iCct>`WhQa3-fCt;)6Vut?a|BI`2A}jaH-pc!d4yrvZ{WEiHX%xFF9aki
z15b8N9~>d0-4gDz4tm^(TnFXE3Q;^{a^dqpQ57-3j9y58puy!0AXwGNbxfFL$#bWq
z&}sB>a4AKKXY1+fooXy6HuCzYERm`mHy2NZR$G0g3-5VQ^*Cm<4#u8s_&^1jVsym^
zmCwwWoe#z$O@uS36p~CI)(8(z*k<}bEaEXS5E}!YdpQt$H%gBW#F#v2P*FnBWEqH^
zNCPoA^FW@mnHY<)xoohJOnIg8gdag32Ez|?Rz$<9JD+M8SPvYK?Hvyzx!oPfZO#W{
z_d{86$BKzV48}f>Y%SpipE4MW4&mrrplGuIabL7vu_n?m9HG)h6|xCkyP`EGcwa
z{eyjK9h1OsK8c2EuVX$nL4$ir0<@_7moBOhDjM&LtRQc~@PXQS#X#Oz#_SyAMRE^|
zsDgfhydw>!m=5zIE)y{C$-s3lVcsiIejMg8i4a`50)>+W<~{Ke+>Y6RuAayFNE@S*
z)rSJOaBz~v`;d82w55Oqg%uJ4=B6XfE_^fcJ{Z1{S3$JGx|6CVCE(%S@_S&|bc9vkcA6d8yf#+F6eGxazRIO?RJ
z%5OWe=0TO;LvbmnGATZeDy8@ms8XgFQKd{hC8LQ*F?F(j0ZjvzqW0fbfJT_|(+;63
zm=ZlEBc^;$2C5uWisnJIW>%I3rWCEXbYKIf`~~n}n?=NQhAEf5QD91XvSP|i?1=+I
zfjxQ8gZ^QG9U{apbvIlEcq|^_aM}R;Zo`D8M_KlbWq8g
z0Hd7j`~r~^&rfSlmS?RO0pf*vmWu$F#99p4&58#{a>{&sY|kX!A$$_Z15Ev5{F6DJ
z8ZQC7Kz>1&0B!-EySqYWymK65-EavYR&2Jjgrz5Ak0@E6?v2>$Jk1|5BSH5ufvi|K
zw^X|j?A=i}MF&u9nSotAwcso`A$0tP;?6R4Tg~cJdy*gzL~IUlMFu52m|_YbQ4^Nf
zR>88|c%_Jsa#CbvsX8&y#-n0Z7E8Oz?A}KRk{+8ZPc;YD)u(3~aHeJ}D6Cr%oO${g
z=Laj{&zWZ`J!h%Bt2_yZ(=?hAOFeuTj?DEsX0F#t<73Fz4cg}37!;q-?BedN6|e_T
z*3L$83Qta)Xq4fE)cQngHyo9^I+&@q0sYoM*Co(@qdL}x$+2n+k67JX*XQvzq;=flwS+J3M|2ia&jni>mOSEiw@tD`$Y!iK(hB$pc4Xrhm(uIat;hq|D
zXXnc+Mi1>ahGuE{wK&wjbmqfRkk!&`_&qSA)IIePONq6VzlQHJtff5G*!t>M;vfsy
zyW^EOtc9dW{g1-yOv@-ouPrvq&DFu`@kzL!WA*iHG39z@`~Vad^7QDCs^}GTP%W?y
zb(Tk)oX&D3&U26eZ@pRBQAyN$Jl9}eGpAVNqmqo
zw`?}UcVd}?;hnr_0ol^Q5}G~+SoKquieS1$y62SlOxGKD-}8>~<}PF0DgiAnZFzjp
zsm2z8qqkv=Xe@j|FfBxCL&2x8Vs(0jiTWhmuCs&g{M}Tqm6M?ii(?Ehw~oD)$|mpr
zqE*vb0vbLiDRiFE2Z*c-#k4>2u(+V8E!6`X%y|m>$vuk{LIQ1Q?{rcA00iL$2p^yi
zGQ*AkFwwWc4Nl(=Zv4qqN*8d074F6lJY@G@>%iI_|PkWT~CIROZPpOB99S@z}#gD`PWpY#7vG8sZSwm%>C;$GdT
zVgx6gSl?n0lNhkXCuj#2hCc4=Zu9}+GFqk<$b6!BJqYu;!9
z1_Jym;tN*Lczv=x1vkLK2^uua)A+;N%vJ}>ud45XTaPwgvV165z8(K}4gT+`_`j`i
z#4G;23dzvZl>p7?O|>~*Z&q6~%c(-fai)miy&&R^qVFs=ljJF~74K_~ht~YMLn-F1ok~NxatOH0cTa95BE~o-mZS|80Sw}fAMKQ6$Ir3P6cWN(zKWCP{%LB9ml_F)~S}*86Qq(keQAFB;k}thd^JrDHiZ2pkNb
z;!rbM1dqQ*&vuN5#R0DuWuVGqr9?9(23b~?MXZ#7NwT3a#7aF6c(BDvVLFRO`Y=9G
z{5?G-qLFAEnD@A!vv-zTc>XK|f3#+@k6x2IE|o#;PosHl2vjA!7Ghkhk_P#
zvD0-tyIWh*iPjYkR=*ZwFa4!-4z|VtVpok-pRvd?j=f(}=uG!x9IMwb8I-@&E;HWE
zXfx=GwNEIAKB6^bfDR(|Ru}A#KrHdz+Pci~py314NRAKuzDwEl(fOe<``~reR%iyI
zJi+rX2x62E6$tpFsx;<>ZWn#Hy3{Voy(!IMsZ;0}Y3Y(sNS-*0ICcvC4|
z49!{L>20GJYik;EXXiun$dAGYK#F}Dn!`2=YRfdQN*$R;JSIlwp97wIH!^=Bs*JA=
zFli9n{yYjM%gFpWV1Spx_!|e(!nuQ8#mP1duG!r0PPj|FCWgP_9&sA=QU-xrVZIP=
z4}dKhO5-~mY@7&|M~<`{W7%+O5w3+~IClly3=P+DK@8g-98H&?-L7HG;%Y%RDAd|h
zV|ev9oK`7Y^%cP$HDMQyqTs$2px!9A+6}na91t~>4KZ@i36yuj_f#p&A^uUtpsT19
zTTvoiHV(5A)mo{%2fwYeDGMkWW@Z7v<1OawW@C62P#>cfD~Jb0yin|nOJFjfQJkUc
zTwwnEnNablI>fcyr$Un?bF2y&QARR^LFJ?BFsMVeyy2DLT!2$A$3I@_S5hVK#1PV0oibU%na$LhD4or*Ot@HQgi#snrrZ_ha>TtyF~R&s{VD2+_U#F2aH3wKk;h5)(_$;=n{ZygG)a_-H@&
zR@c;x4o#`U+e;y@alF5qh#1HFEGh4J|CJ6dmGS<|99i>>_g{?yP{#X7f$;IZ6i8yc
zFH?-;eVO``HE0_73>BL6UD%SV#tQGiT;Z)^u<#B|mR{n+&;Y!tmgu)MTzG}g@})Fh
zNZ{s6Y3T+G8Eb9IqZqL?#?F^|P~&~ZH3vh~q}ns2V^}eR(Q+6r+BiSx`x%tgejeMp
zs5_5N`Nnq$Ryc@BGid12TJ@#r7a%w+n=~E>a+g)AUiRo{WE9;!c=&3mnHG+=gT<;q}Py**iiwaZojGhu;@kzlh#QDeel
z4GIP;i7i|zT2PfEuUyvZRx?3{VahZf~!^w!ctzSJhBGQ5`B
z#Js08aKlpDJD@AKEwy1fTWb3$RE#aP(bL>4wVj1C$~>kg`$}8<7?cK^oo1dxD{Y))
zj)k`IB(>-=jmXvco|y4^Z5-ki8njdWq7B8#W*HHMvP(UBIo96Eek4Oo7b)V94TAbk
zdI0r#`@dB;Z2x7s|B00@ksWvvPeA!Pc-#5{>X@%4G)ymII<#eGHR=lTH+}U}ULWC>A!+_yF
zg()17#BAw@K}IYlq7?oBsHk^Q3P-*T-~x|QV8Wo)%0F@F1*?@WO04r0l=+7bT`EEp
z>eKuzq~1c;J@Ko*YWLSV>Hz~vFkXU_$nVnLV4hX|VX>g$_cDj12QHJ0j$cV4l31mfB`eUms
z1$`n%UZKpFi{x)=2nct1<|AjVsZY6A|ND5lb>nJNZPOmmFN;_NbR1Mpc_#IqcHD^<)W)A;#?G3yh&xU%VNzTCy;
zZA%`r-(&D!q>`69zEM>Y&Om05<-1oxb`O<+jV6}wm^jns1ZCqv@w;-Fpo!X7QN3Xg7}9d^IaHea(V@
zsC6qr^i6$gc%bV*#Q`OREaECdfFc%Yicg%AxWs|%@rXen_aMPKAVzEQ@rD+Kq=o}H
zBLqJ0FaWzp@d^FU5D{am&yw7&zCA+V0SA{#llW~%);vwj_kgxtAiUL=0!cJ6GR3&;
zAX2wq2ac52X)t6+E+IqUkBBO9NBBMx97i_4+pptoWwSiR0prN6pTroHKav~lSagHa_6$3XGecUv3n@(K*6k4Bk6fhHGMV6UO)
zhLCnjQaug};DPT$L8G`ERuf_y+tpBcq=}pGp}EJBF($qoE2MDIIGh-~0|v$ri@%D+
zt;XZ+)ovr235|^tVzay=dR41Z45}XacKa~P-dOV9<4_`E>^)eLv-g;X+7u|3{gCcW
zW1E75Po@7j*^xC*|8XkNwu^-KA5tWV{zIl1`wyA=Uyo3;mTK=jQY8TGEn0zJdwa0M
z=>6K;PD@*X2(mV|v9DxPs~n-un_AdHl&wkANQxH1xhb^~p@NO+SbMUrUJWQws#lc`U$H))!tgMzQ|L=DH>mILmIHS%-M
zYa9ynbkA+HAeHWxEZICbpN35la7xB-Hvh}8^z}YR-R#E2{p~IyV)Qqbl;7VzA
zw@*8==JB`B0d2cTxW7q}B>YXL82wGAu8;X!msSxuR*wjR2O*Ds9`sI!N)jGqojMZ%
z?Q1g(Q+OmEt}5M$Ex!H)cKIrwG^VP{k>pK+HzbpI5IB5(e`8>
z{4NGtJm{T%!U19>Wfm*e+o#08?<3qq_P&oW1paai>eXYBa4pF1lR~D^-MJZ<y*r->G)B4h*a$>8J=eeZsf)Imfkm$RX~^oK`b${2hK#P?Rx85&Ok(x53KuZR
zd7^%Y+P^eIr8zKqu_LR8=_Nw#Uk0=@+1o9|1bB%NaLCkix)ZT9h)$OTpn*gl)CSVp
z`;%`x*CAN!Re1x6hUeuQ*3v}~z6huA3c?p*J<<;hLHM-nx_}*fJZrdp57Su?{#T%4
zEC`>T<|YWA&bz{O4BR)HJqq7_-j$%4BMkqsN=TO=S4alV)8SPjT}(pgFQpMvhxU`0
zIr@jrKO`yi??kJphRN9Z{kd2wOYuOZ;JVq$GWhQ#`0o_>uK@r3sPbd<86Kh+@gM#M
zt3nj#`c8q4dXkW=P3lQP5s!%&z3&0fy^GOX^bTl1c#IyC1_f08fa};9qqj}O=&`eb
zux1#KR2vR5#ns9DbkGm1KM)xiMmI;)rALIvK=q-GejNVs0I^Ht=yt1{?axCAahiNH%7j6vMlbQ{*F
z(5~3ge$qJd6OvW#LFJ?^2lsj|FUmYzDd
zPl2_iclTLNb-hPY=+Eiuu{tI|@b<-EJ>sknaT@L;+EB<4Vmn}Cr=?Lpqi<2vL>So;
zKN6V)8w*qU23SHIC|S3Ye$DWKX|%$RN&PZq*Z0H@kXw>R@@i_em`}-qd;UxJfS(zd
zuyXycjExmwX5z3u+sUKQ^fBV6kCKVLO&^@TrjPwj7j=Lqo&Sc3eixcx#pcq)KmkI8sDu@sOC^gGWN6aK0+ue6B7W*x
zxz|)5n^r#QrHBHryQWgQ&cR4bcq
ze(9&11Kwrmdu_Vm^!;>mxT%ybbi)eIrJDt8ykt_!JWLV_VLxWGtsvx
zhtt=Tli|dd51Pv9LOrbbT4;xX^ERE2R`byW){ieFvbabDej=p80Z_^Q{
zuj$C?KtDE>(uIat;kh(~yXJ9L&7_(6lqQtIf9d-8A5%?i`uL-tJ`R4jXIIbZYx>xa
z)ec7T@TBv9tciXXnqbA|(!?S9w5CZR15p;C74?-~wX;lBv#DkkeUQ21Ut^+ga}`cs
zQ_TS|fh(#)&w3p;o66`yJ*?<_>d|MJjp~WAh&n+_Cg!GNmRB)V&8D7`pL%wg=-br8
z>Fer&`E*g01Mpc_&n>1hx=;@*I+uDLpEl`lQq+-#%%YmcG`-qyGF98Ay4(F!_Z|~{
zo9Z}yO?A#r=pIukT_}$go=bVhrmxGG)OVCAyU?FGQCHyCO;xuk@T-0be9%PSra(?#
zQ(y+9_j6M@U8s;1pG$>DnU>E?$~#2QDAX2ztt)KdT?QCnQ`iCYLFT^fu_pR9g>m}6
z3OmtMP8SMe#phC3503Y{&{P|nR?hR&%9Bm>ZCc^Nk{ZsL)9wEjOc9N-0A_1feN-qN+JTHcLUXxD;b@Z|RN3>+~H$JDgSus{C>
z857n+in8$wUk25L@UEBQAFm+6zFfQ>4-Fs{yqNRaZIqyT{Tq)AQ(sBhP&ma~&a413CcglOpFV0iexD6o#xFts`Fb2p!;Sh(qui-_I
zR}UWJn=3v_M4+hsgF=ixOET;g^15dIYYr|kV45Fx_Z3Ih9D#M=*HHk16KIKU4(#Ecr@=cV0ES*_=#bym}~
zUvy5|Rvu*wEht`c%HwVubb|o2!E`qwue-?+G6ar}=0;GJ3Diz~HewKZD=j
zAzn{|zn-EYgTlmQz1UiTx7NstL$pmB?)hY)=0=l;fW@7)dIJFlp3ldkAn{Z)<%FaZ
zw{QjaT;-^y-3qu{j1Uo{Td*XjTg)f9h@l?;CDlzG`3(+E71yXZvgUD(DWGi^3U>`D
zl!R-@6r*d%)XlxN5Gl`2&q;%eA>V#3w%MU3PZztG0;TjmML?l$`xSR2*4rJGu-giE
zpgV|&(ScZ!(}C!ANe+e$H%)%b!KLCnf9=Sc$9X;uwCw`n&Lahqa2}arbRLDMpWyskiJCCKb8qzQGUp
zK1#^X_kZfJa8KXAjfF!-&VLzgtm(7&pFMn@)B8oFChw@kPpMP_dKWp|#cuB0|Ia5P
zM*n9?dHsLH!KLE=n;lv6`2SX*Z5Igle<_fJ|H~Ak|I5@D>>E}kZKbo1Fa#|C%E+$;
zc!I+uJX?T&7lF6Y^rCzNlP9pC20b|IsoCKz6V-9LJYxtisi~IuRW+-FWh~QK%Z8Rc
zx!i*PuZ6K`6aHQ^xw$b?S~fJWY)c#eE?e8aw8r1BZNS5pHh;6Wy`@bFm)6$81CWFi
zc)@-GA^PspM!8%=!XxDp{25pVFJ|a>i9Tng!MBa+Nn&7gqgdMsPsWMRD9)I-EYS;T
zFVwdDg+uOkSK@8U3yFxaZDC37wgv7+5rf?W@LA{b4hNS?+ww+7);w*?TYC^G85V{{s@Q=dxqcQH9Vq;^X$yb`42R8d_)$=+{Jq^dH#rI&mXzz%LFoi
z_%$3EOXoY?3GHFw<%1!bhhMY$e1|u9HmgGzIv>HRQT(M1saiP5EH+xz@k!&26wcWD
zZ#fvYyB}|l{(*=X+as3bZjbD<(m!)>skBEwb!5%c9{n6>+XcegBPozXdn8kg?U77f
z>QJ?8t~;)rfDVwVpBaD6Aw*9zKAE;1M9_fEE5b$vG3mUsQJk(AN9*nl3n#tTJ`T1k
zj9YL(M2r^9lH3+-?@`ZpaH&}E6C7FdSnvfv+b$4p!BQXz3zjKH3zn%zrzknH+_W5E
zu}H{?QfD{}=
zy)6OAXE-Wq*Dg2rDI#Jtcb4Qdcjv_qFLdy!82s}cS@RhDi-ERXB;4SoND>AwQ;Y^L
zQ#Zy=ZKkfdJNt-yq=!Vot&mqgw+bDq@pP+3wAm&o;JGPsArgO3Z-7Tx;Trrnn+HZI
zdM!x~#O{4DIh(q9hr65lN{XKx?r$6-uv-^*xQ`PNqru
z!+p(>HIKu66KLB-!W~YEB;jx}#prM{^*Zcf=FV=UbUSlg5I82*$QJGlV~){2
zs%WHvqQ&b58ZbK}KpLGgm&G-Mg6O*_R1wy5AV|@?7~|f)wdj34fOiXth|&F6lGFVh
z%bS6NOU3z)b7alqe9M4#Cg+m^NjRTOF*=`29i0mciCk_@$b+LH|9*}(&!H|)M_U{1
zkJG(P?7@B-_uxn%6oBC?{7NZ)q1-BBgG1@RtjD-kie
z6idqMQd15t6_*MfS@XD59cbGH!uvBRkc3Og6r)SY)M0cf4>O3o#rI2a1T59h5uV}@
zvZo_FCE9lAa)f$N-cufLx8NL9kPuwjS8G;VFwTOw_ttKh#b-X!H2OtUiu4QRl@uW%
zy>~cjXg34y7jGpZM!#T5dHv$!4lWhH_^2am9>4e`(6$SN`-K!p!Y^cs(Jy4`MP|Rq
zY86t)ot%WgYmg^DuX(dW1)g40Gi(c0MpA1e9tQ9RT}HV%-l&e@o{`;^>Ubrf(WTo5|EIJvSby_)hO>gEJ!M
ze$M#s4%_o|#&?)D`6`#Y?T%e=TZfs9R=a^)wAi_>;Bw>Gkrf*=2>a+Z6A|ZDpgHlN
zJ{Fe8;e_u-5hg@dz#L;K01ya~bU}R@KW%c)o+{EduyUyidv$`b8R{xw?y+I?Ve<}T
z?hWQdsZ8?XCpt{tZnE5qFCZdDFJ?(@FLqr&yVb#`;>AyKWXwPB8C-Sm=6^b
zp==vy6gO-1@%VOi?%na%Qc>jB9Y=lbM$G;C#YDvD*DNW&U%%DCr{dRdc4W=t*KY^f
zc9C$umLf^`wM;SkwM@M@r-4W{ck)sKKSHkj{OAP^C3yPL$??b}32p|@c$>xR*@o9Um95#(n!}Ze
zh43!rT}R$#!}|jHTZ)i6fwMp09{TXBOwNF;t{v;j?KaO`qe9+Bc^Z1OGTdlGvpIl(
zi~MW@fsd8zZsb-PLdo@AaK6FL>Mof4!DR`4_sxL1IV9z>(!I%o6mw^9aslqJ9@XY?
zSi@krHiJ!Y!$q6uvEh2&#WS9PS#H4Bqa++hE+_^(4@Yd&uNc~IXzf|L)HAu$9tSr$
z8ed*srslWhU;`R7x?k}b?tJ3H9TZ-VH7zb1!>sY~>Z3@mc}z7eu|==Vt@wBuji
zJ-V*mo-745i1OK4ZbjSq`hD-{M>ABI1CI|ovU*rs;@;7FfOaNZ`yep^{$T9TW$GFJ
z;+2Nb>EdH(`LJxY<+JwM6Enhu2RDF8N=);K_XN6d;&!
zKsfv^D2h!Qf*E&+teC3SAfl%_F0OH+eX0B&DYl=E{}3Ve;*O~~y_m{0r71YnCojZX
z>-AFy>+%Ok3XOvPQhGFXmPdS0_fP)|SPzjD`g0AXUc=PG8eihGTNSU@E5zZL#9>Y0H34jM~!jNp0zGb!|Ops-;a^-}Teh&rS4g
z+T!$mwe{boa=OqKD?XRD@?ReI*tup3B2NY^sJ$86Wgh#%E0QZOY*EHDy>X5Br*leiv$B#pY5&
z{>#IDYO0J)89(+@#_vq@ZOY*EHDx&alKCGp^oU)kgcY7kCB3{nY^kYQHsu^kA7t+6
zhfMTs%Hi}iM@~}};-E2DA?5CrmiM~xooW7LofRCAA?
zYW~(l-=-Q)UsH|a^04oi%IHEptmu5|iMGXDB(BsdgxdU!dQ%u*pH*M!WBp&5s%BHq
z&;8W%n7=Y~(l+&Q`nq~VO<|tNaCz7vrZT!v4=XyCdis6;)N)hRZR$IbKFACf&N0!q
zsgKjw)RzG)tTUC!+AB=}4aA-BgF1GW8$&^(xEtOyinwL04tvTdObxzbK^^7N&;VTDp(hZ1KlV$YrN=<20uVnDH_hzDLkd{i@b@Y&%XP6B>4
zTm#!!9`tz#WQD*t-s(YANO(_zJ^y>up2$N~qH_$>?#vPywQHk{o3vysi-^b|3?a>4m!_?8aETh?m!@6p$f`!EcJ`m1nf16k
zY8}wF3xsb-kpf9}dc}sU6=h!P&4>wLeQoMcC_C;ER(TLPmY?E7O)y
zR{ND{Pw)Q9H0?x0c{mibm`Z2FV+_8icxorZwQA3FRMKtgQS`Sx?MdmU=>bg`Ra106g&g3cekI&n@1
z4&`ZRMI)#p^ivY4>tiyl=@K}f!unx6FyQFjVv&s;0><7-r4SH2>aXn}*lu~;9SR#B*AWq;3$mpAF1X9V
zr{aQ5N7g(pxCdz4MZ#TBiX`EJGR5eEGWB$CgOG~t_Q^Lw7E|
z-ys>h330FbOCn$E2=^%|kc3ak6r)ec)P3WQ
z!^ltf4SvA)Q9^#c|1O6?c>4bTu{#(4|HD3Fhu@0-FLq?j
zc;BUc^DSR=ipLlTb}C3nx}2q0krJ`;cbf)NTO|#
zDaN)%q&|A*;-hyiCT><84ADINn$NLkrYUxJ(4NL_DH6>Zc>auh$|ZA5ypIy7$+)pDSMssILPIGszx?JMmQ!)58
zj;whMegn|9i-a4z6iLG1Ws1?@Woi$vM~r-=heW}xkXJvqDmYZ*=~fTNI~Q+qh`?@L
z+~M{R5u?MgB)7x4?p%D8gHOfbUhc@6$Kh@T+IEp}hm#^nIGju|I-E?MYI~R}sSPvlN5k$o3QYxs()0!lh)2(WPXn@6CykxA=Yuj)0~5Il`e1A$vN)K6vNi
zxTA)4GvHm#4kBXo3zn4EFZMXNRQ#gt$ePD5o(Z(=0^wba6iC7^WQx%*WNOZ<5+gUs
zNeH|KdGhm`r#V#M={1kwYu-NSkfhxhxp%&oh#0+-B{{v*Iq`9ygHOdjKjX-n$3MRS
zwCy6{{wYP0@K2dy^iP?(uUx7YIr_fB5wsX6CBGKqE{9Qgwix^THE(}*)Yopr+^_#Y
zM2vpTlJfiY5%<_pv*Oo>I!X0ST_oJErAQKfEmMqsEmQMe&KCJ&UP|Cc$d#WT
z{g=b8JpE`+uX%g2!(i+R=RUB3h!}ll9S%MfA9$K0YaSmc0&TlUxDQB?Bz!=o
z7=1vdrrhEdnRZGBuvnzwXR+%XB1>4Tb=$4D=I!_lJD2#KF}PPfZWnk`i3
z1DkM{P^cXi07l$wPqygpHqmBi@AOI*GE|cH@+Uj8dRSQEPPJ2kcBX#y1Y!c9hOzgQ
zsV8R>sgy-0;|I{HVHtkC>r#i{uy^IH8XA(9t=l`|H^VU!z_K{I$LsDiaYUB1Ys1}X
zS3zIgvD}@8>Fn;b5Guy*PNS!}xjXHQ1{^800}d9N&U|s&ZI5{jT)+hXI;S+J;Re>?
znxAcDj=(P$P`|NCNG9s!92b4N8#q^SiD}sqm?((
zhN;nde#|=cKDQ7qfZB!&;eTbd|K&FdRsI0R@*GK_GqtKxpDM3v!U<<^!q%CqMwx`R
z%&dYl-I}Y0hgV6NtwNct;xe0_S&bQ54MaNxYO+Z-acx-Vu|^5;rck>&>p+o{67?fn
z^)zTaq8GaKUQh0)%glNY)oTnN7z7(04iX31zM8V@w`cX>e8mqLxUjPQe#S@E>$C1P
z(YKwi$m#o@ulQ9{IbEEu$cj&I8e^YaxW2MJ#V4EO1L#lzx_$8751iV=f}
z!xf(i4EOGE#owa7_~D976m*c^O(>Nthbw+)1do8j!~5irs9BwAPqLe^(V>Io!mXDN
z2Ydhr_hYx((}0(hAyqMeRuo$9TB+D*6lVhQ4;ml36&v!_8>MQk*eW-JYfrx}C{EU)
zZQ5OJRe&5`XI!nZBBPr7Q}&Jqp~P=dRGW1~Y#jO@iSk>*TY}5s
ztDc;)HzX_vPfBdj`7C&pRJB$r?}7i5&)~UI(ErwqN9sjA95>kLg){*I3}-m1s-p5g
zgAR;`>a8Rq#tA@{L^*A6aES`xhw80!WL1YLzK7~v2DI%0;lp4lki_(#Ofe2%
zWa_aNbxQ?yY`Fk#AT`yu)4Moq#qqGbQys!XIrGEvmQz;yVR<72YXds1Bq)^16Ga%B
zvg2DLnD`;Z*iy;VGh+wNWbt9CjZQaTLpz0~`?YL)GKfTL*{qGFSmHP-164k?gFqqU
z)Xrg)wP#BlhkY_Lnpq54U1&yG;@Gq%3B?Q765?)NHxyh;V7z(VieREqp8`BBmNf|4
z1Jp+7A0d8urgpE%M&{OQ%3z8opvXJ`^kBF&gFeK3AZ4|i;@jCIUsj{>T;+IT24*=F
zz7QqhfWnIL%%@QtwbzDz6Wbk@L28dW@~sYjayz)T(A76%{D#1f*q(w$FC{-XSP
z+(L+z4c<|RpSnnI%)la7@gB(Pq2deKqy;TT1S?kt>j=!%;8@9>OVp|TwAz0#4@!_*QB9=8GQOm@~GCenIgnYz+Xw9)`No*zPkhh?e_p0#x%
zA9#sFkO)V3gNFv@5A@^l(L{ZMj8PYLcW
zz!H|krxOd|c6i@eB3A)c;wr#OwhFLvs$ObOmZ98bFl%TG&mRh3{HOea>aZQ^aJ68W)uFN!*Kq@=H@lRfbw?2Eh%U!6OA$q
zBXp~D}4~^oZbYNz8Uv!1F-H
z#TF`ZcXe_S=LFl$@B%Z+3@oKltidV|G$L27A6a)9VV)B4fTV8iB-U`?=P
z&B)e`>$Y97W(4eEWXtB!^}|6h3c3bs8OUTU*m6xl=ZFneu{s$wA&aLgY-*@m
zn>r}Xre1UnGy;6~xKi9zhQ?sLT-^nlFT!HrG_CYWUoY3njpAegC}R>Xr@Ep#UamFE
z1IijFPK3}WDtD=>izE3MY_>Q$?D@7_JUv(_H2H+HT9DoCNZ>S8{M0sLO=
z8$;2RQT;3w6tOy{#mXH5?sS&eq$K8S?U|&}&^*98D9g4)N2}xQMs+q^k2wKTzL|3f
zT?yR&1e%cq>6d|j9Zts<0AXaaM6_&&=vLSr%Db;~^jhjM8Z+zawNe!k3XPm+J7-Je
zWWsa9DW6pqY--IGvFcYT{6SCt{C>i`RPJ!VQu&gw5CQ7{PP_;!XiWt4zbW2z2FiQJ
z%hQD2gwd$4q(;d^8ZmR!<9bweiuk8*fSl^`t9?mM|0+eW)NTtxEUs+2sGch;&Bl1T
zs0x+eRDP?CABDjFMH5(fGm;^_%HTDrMsT_``__4Rg`JlSA#9NfBaXrwVAw2#=o)=N
zc-=&+*nml@+0H3D*qEvr4|bD!;A5}(@KLoiOBGIy&52lx52nK^)H_3L&T+C_Q(G__
z-h$Hu3&Iz`A7Tal|EthcG2Kus#Uz(71S`BKA(etMMSI@bBJ^UbgVi*Ju=;vy(Zg5P
zOXW#wv92d8EP%=vatcagD_?=_{8dcX+C*^YjPA+}-=I_~{2MHSt&6w*=NfwZN_{=5|N$~Q-?IYv?OF4
zW0&78Iy(H4Vyn2JU8AWR4veBU+0+;gC%;I=M9=OkCNePQf%0*dU|8o(_(WKTp3<-m<2Vo2S#(K#3U-Tgl(WJGyb1~g-0
zqkm`yYpM563Yv*nOQ4ze!FN4IGsucSGfW|DoXaJ=_tDJnI47ckp93_r|EF1l0Y;a7
zPD8iIc|al`nt6vl2$2rxCW2g&?BN(4gq{W0QkdeV~IsVDi&j{@D0c1N~gG|`vgS^6kU1Ynff5^kT
z?DI4i1IrA%JQ1G=yUvm(%R%MbDjzU!K`l{1RizH8-;f
z4I>YN*`C?5)VY~$@~h6?7tb7Hn4Pk&{um~bQ#gTSVi-nf54w|>?aCH_P)ys-LIxCL
zVx)g42J5N!N(zdJSWBRo&G221Q4F#oPz+NEbqph1!h0XZ+|D_fLlko-7LjjG=A9_U
zTyrvSGf>EgVm=6;`lFcJ;46k=&<1j#n7!NLk-4IgWWh0?fqWbVyapfR^D#p<9J7=6
zrg0?W_mOPL!oNih2E+R~Bf`Ml^Ds{_)k23Ps^wtY!q=RHTLYGn?XUh}CM@$HFu<_P
zKjRZ&8G1^?GK}LqSmv=CYY>N1oQwzLoMp!}=C4w*&GY(-ZBm$XVVqx}`tx9%KO%ul
z=vl=$zms2e_8l?JG1fWgUYn%s(KwO3!UK^^4C@Fj0@g{fZP`)~=6Rf*l?<52#8Ce*
z57svo^F*vAFwZaHyB=d6WJO>erW)!*e!~rX?_-_|V!ED#nVSt*L_W-O8IZ__c`h+f
zP{Eh#9Q&Myk8$jix}*eW6V*nCGO8sh7)ZD|U?ABp>mO#qK+gk~83uYj
zJ`o0@r!)-2IL?EC2BNsWS&#YFRJ60ZuV_bM-nkIB?Q9((y2z>JBD{(%{+q~1AU1H*%ABGwXM
z=2rNw$6y9o5nzVtgL;M6a0xrX%rUXZ;`Jh~KXd5t_jpmF@z&AG5h8RrMp%yx{#T^I
z;K)HTV=Vah->{~+=2(7WprG~=x=J;?@f-NmA8&jIzG8R-)x_|IQa>~r9^Jba+Z(bM
zRALqsvEcv7e)pf?lLU%bVVgmL`2F%^eEP)W3)zT-haww;;bQ!gX(Wp-f)UBLA=3;u
zMEvXBziJVvAwG8^JPL@&c2EB>6K*&OSZ284WPBprKu>A7fpMG%HypC12-|bZt#X4e
z1P$3IO=8(o@xzUM#Sd|=T+<|Hqiy8D5Eo}QE)_#uAiwJD1M-<;9C4+rtUr#31QlL^
zWMVi%s1I;N+VF|3L-tl0g!?8rfS^`U)1K;%+OCT%QP-1{C
z(+Twr=Wz);vBaG3QhE;O#0)ihvPNA`+Vk_F4W8}e~1a1%bpXGBtw$+YNCGh>*|kVA~}UW
zM=~)SBeaJxEqcvl3qUaD&vq6vz!(!F{ev-BPrX}GU`)hX0>*p`zUwiJK~@BeVJe|+
z;h(sK_dbj{;WN5J>N6%ifiXi^L_QcZ3?%Zwm{ScD)E-H<7Y)Xo2cP=GnB(9p24m0$
za=@6q+aZv-qLIXVWmR}+;W(r5WXQ)+%u;-eqnJY4j7)>~q;U|F{R7#8g`-&VVE7cy
zKz0oC9dt@I9}{t}Ly=ge#e9r#XApsGcl8f5VVDZA%rHz9p9sUyQyPY09OuC>+AVM$
z$DShP;MVlx0{a_CuCe4oFMH4=@}QUJWwt35y*x*L)#p7$N#V>fc6pVosXum!q!hjq
z$;7aW&>dhG&1R+F6LPu3&Oip_Vq&9z$OUVu_e2VEiC9Y@ml^o3$H)a)5y*upgt~&8
zxP+a^CI4d1XL(Vg1=pcTw#A&UA`ON;l*JC+XugIu%{52zWdjAZtI$=dfs22FPyNBg
zr{OCGE>KOj#hks_9FxJI7PDZ7pFuv}``(L>aqMtf8g{?~``GEi%{YAU`bHW>_**Q0
zF#I)VL)f2t7UV`#9dsa|ng#kcU(pe61qed6e)@-*5X8V|1%gRUj(@
zRWPMcC$W@ExDTkJ%!?AOdN-(I8fiFCMFVS^3suw%6x8lRSE+_7Zh}w!QAH8HVyFVu
zWJ48uyX7IHK}}{s7B7c<99fLvV;orw+mMBFvOI*0z}*G%v^U?+WSbJc7P%M5E=xWVX$S{DiG56p`DEkNW;WT|BwdORqvJ*q!F=}KpLNd?|O_hkQIS6
zm|CdQxR*=Vi8L;X1*6*I)FQK`K~Uy^)rFtay;DacPY?mCT@%M)f{G^pmtii`DmzSDSYaWY7T&}7^*>&V5r7Z257{y2Y>{Z>;tVKnK9Z;7VL96
zb;YKW+K)SXl6h7uE%HwSrKT4
z>4f@+d0fIyG?PELDY|B7QB?31Pe%7+?tFR(v9aK~HH2
zgK?Y(VH_qqpN*S2#u&EGlq5b#MH$cP>ugDqF9*)(925VfFja0g;R@^({ART-;m7+j
zTb??Ra+mz7vrhi;%MSZI<3@CmI%Yd3+hUoiY<;b45Q|~{=s2B1rxiOR<~Se|H+8?ek&ZD?P;Fng
z9S!*{hfn>H-@)(|Lw;xv4Egzq01cS0lQa5Y*=kg4JA?W}8e?eX+Wj8y9-S`Y>C0PYf@(7;23uxYm3l2WE0`{h-vD5k
z7Ox&+fNkVoS*lJL%Ea0h5#%t7%C%`)!ZS^H1CU
zN7h^sY}vN$pB6wUxx3%oXr8ka4kvirihDoD9aw
zLAzO=Xip9efP#aoH*URb^R}(QnoZXPSFafvS+i;DH5WimXfz-dytPIus!mN$RzYK6
zDUD*SHG|E@mFq{=T?YBrtlfCU#;w-`U?UqgZr!wgbTrtoc_dg9Y*{n1b>q5iSF9NU
zdl=cWd36175R8JZ!CD3~Sqlc+OhKoIO%t4J8-?0DBI_R6)Z3X&y|r7LIw;MiUUUsK
z0!`5UWGSc=cj3;l@p5$+XucSXL;J4zdbw6^6eoi%=+EQ971i-_tyvx@PS&BvLJI;t
zM-2|Be&a+?tG9-NCYZp5l~!wd^{Q37ckdqFS!)m18#`A46{OHybush&0*sTZePbvZ
zp7gU&P{apfTCCh5k=7EMlxPA1L}bq-jfN&jJ_cpQ2VH7EMMI``qdFUY9CHFTd^6_|
zx{{+i`-5gALHcFjKSHnqld4z~&q3fV+abCYc6-P93LY626vpX_)@m&UEUlRBEH&f1
zVNN2pZ9l?stbebhU&z^c5+_lp!TF6BZK~JGLxF@#JI3qfiHR!2uhm*S4Yp)LA3NUK
z(W=v%c@l(p56#6eQ<4GSIsgsjGlwWlw<`$qvlBHR_XcqEuDVh+~O-U#cg$#3!CO-5z$8)4R_u%qYrsZNG~|5%8qbFPP|`10N@5
zKnrY+lG9(U(w~R^CyHP{^irN+DrG~wl+KaO_VjeU(c00RDmGfrXxCfi=Il#wy5M}Z
z@bnfhHvM`8lZ7^Ed~A9vVN%dzjoC$AQ&RQHZ#GrlHpzTBV>_z~uQSoNsgTq6Q{fG!
zQo2wfD?FD94~sYECdDmMG6{8Q?{p>IVyd1^NjLi`>D4CsHYIWTeoA_asgy31#0vLR
zk~=$J<}fzE-7a$+zk^K`HKSd4t8n5De)74b`Hk{KwKN+p0O9C!)Y!7{<76YA66+h^
zht4X)`o_`b9(Fdo1-EJ}2wwnyhzEpuc#bUV1Zi6MLEf!8BTbHuEo{`sLYNoIyuat`
zAOf}X)R!y{6-yQ>Redqydq{xw&kIZg9Z96Gdy6Rkig6^S2r8ZfJC)rhM&Tx
z{>uzsg|FB$16l}MW)PJ_3*ie0{X=eK5~wP5dO8i<{|WN(x%a=r$M{OYWmnSC@-S&s
z492Q3$5@`Kj>9mLyT@>FWxLtJX$pupsqU=N&{Ot#FbE|e4LDlP4)u;XI=W2I=Dn$e!zIS#F15PqB{Fe&&+lJhfI|Bz!cwjwKe;asKuhL
zg0i=Yjh*GzY`76<+XX_c(_knCvfm1$JU~?QgNJUuHAqW6(xhK0la4VNOb^RdT{ayA
zFqa(+PjiS1CHp&2J`gWZR=bss%En3^^#_HC$$GKH3>Vf<;EJwh3uaP9gN8E$Xw33s
zTBqS=&8Ne3yH0`nyfaKmmGUExzS&W8yP~<}-$X==md}!$mOr0FBW$1l(mB1&!Kq^X
zuXbcrtv`GkWcINB*Ftu?P`LF=p(LzdrWmbXrk)8SSYIQNBI|VXHJCS+?&mu*4qvF76k$Q6H8Wjq;>0w*SdJxap4f`-mcx`a{G(MC03Ep835%CAc$gZ^+%>7hsrs(+
z6nEZ;Hk3%~V?>)uoWSLiL5FF^pnn$9Gf%e=;^h5{O{t`V{ZAXME^_RL*&(6-m8IG)ZWc-9YGM6Y
zp;z(>2j@BDjP0{1TFRMT>MUHBorR}5vgVQV4nH|VbD8MgWkYK0-eu|+vv*hz-TXS<
zWj%EB?Z!?Eawy#vp9|evA$CaFFeokO|+;vL2p+>YG_sF{2=YEi2tF%dTsdTRS8kQ^!Ju6)=cr
zQEJmOS{$8NEezlayh^m`I=PDmKi@PDRge`&!VqQJGj`YFLI^~S!pIqTQRd`)D|->8KLb?
zN!7*vbwhV!UGDs<;RAJ+EVd%}rHtA6N=2l@@P1S$Npa3sDmo`PJz_R>AtPcrv5@g0
zs6yU_3|hfpYZ<>sS@N|ECLNl%{xAxPW}zLMG%gt}w;-aCH$F64toe_^`G~DI#H2BX
z3%&%k7!2p(AFmndeZkjB5BqV}!S9oE)rB5URv!a}Wt^-&8u?nn{poV^WVJF2{V1yL)MWnEtH5e{;2pjdn;V8OMMmTyTWp#V}
zf)PA(PmUnPPbmkQ|9W-?7WuN&jgZyD(>L;7k9OhViW3B|8i5}M)7Q#7Vc!Kr%))3J
zCliaouHt01MAM66{{A+=_yQa9B_M67Nq+_ZWC^Y%<0qO
zuRoM8bBjfx*FpA7Zu1Ia0@@OzbI8>5yBD;SPbUWvFnr|2&s929HyxI%z)x`%v_mgf
zu{vtVM{c5j6(cwMNBm+90gj|wXj{;5jlaOGVF4SG!A3LKWF`W7!&3)9^Jpz>v)i}v
zX$arZQ)06ljl!11aiAfRK-~Kw;!xybvVpy)!Qi$tpMqsg++i}~?#GfldP;Cd;l2s(
z3gL4h7)IIjCbr>GG*5E>onzmdb>rRj5M^!Icz1kkFdRQ|LkudN`J|VG{{=DubN>zg
z$qXxT^W87y7qt1V0-Sd@Q!w7)8wV4c?_~96JI9;1-$gm}4R{fAoiX2`uB7SOf+sW1
zKDr67f4c@F(>?NU$#f6LKbcJzV|4mu5{j2Rx)E=0Z6S>8Wf`-Vz}H^FRVO$~QzQ@9b&Xj6}F#4A+h_jx1Ug)uG89FJjDvT!*Ta@R?72U(zoJC&;)Bc%hKTNup|^)
z#Su)3A&zZB-pP_kVWK)&#@JD@Ew4P*-g(i6;$+isG?>_C$J;mYQ@T9OIkaMyl0NEF
zcim0PuR4=+k4jY`;xa)c+Ix3Qs^G;4!jeOm#PemH{P*8Q@(7=YWQfaX@$4X}K*5#r
zM(5&Hb}lmP!87rqFHaqtZbigjY@6L;Ej!Pltxg>%a)|0hFZ9~I3u+f{E39i!Z>JA3
zZ@K$x6MfrOAWq+JE6`_6rF5|sh!vjRw#63M?qIUe77!Peq87lUnfa71)WU!1I{B`t
zHn#0q-)4Md-9z_pCi*s=aQd1~=2IId>%o5M_4vK1oG!G&iucrtJ3C+YG`3sa79
z!s(tV*s}%c!6YnvjL!tvnc+cEa5T{HzzA$7X_RZ@aHcU=$oPy*F@LJlDFQ@P9}
z8jTL_xFBz}q1L%*=&k%X8ALitjYb<~%*jU^SicNr)ORpTHXa$QA)3Iww5V=#<4u$L
zN*CXA9OA>J9lpeP6J(8AX%JsecD@Y>s2J^jqrGsjVQ5qy_lC}h`8cA{Ru&^@$txSZ
z(5w1-M^)8jKD`M7l{k@K?YFFSJ
zE^s%{whM%Z3rK+^!UbfCaYa<79&1szRA9%J3)(BBrp}b7!!K+BaQXjMhwxC&JjV5v
zl-0g9ZZ+ZRpfFaiPtvv>Sm$ju+Hg`19Zfb3XC1cSs4p0u@5ECNt2Ndc$fMw58)Y)U
z^nZ0!z^*-R&Oag|MssFKPII1zH5NFW{g7It357p9_*4w~kB+RWL5H7%%qAp*o1PfP
zr0ilL|9>I7T_oI~rAQJ6EmMpJEmKeRP`wmY$LA|BUo6ef;Q!en+=RhfeMkg#zbpe)
z9z}!whojFGLESSMsPfPN(OF8Q((M%Ag|G>D2c7{qvjbZsLnOBxL`CyYQ8f1%Y2%$J
z^RQk*YyvP*5la~N@eyj&X~M?BQh84@TKf<^oAB58YiW+;xz~P0w=o@LWr@qaT2k=8
zs3?-Qq;t#8+iCiJo9&-zw$ERvSAFN`V!w-dtcumYWi~#TXXB(eG|f@)Dq5JzEAN}9)i
z)xo6-Io<+!qj?pyeU8GuL_~}zj3qfym}86b4;@@0FMLq(pd+h_!F&f5KSlv4F~~`Q
za115|lE7dx#fZV8RHixUccQrl*TX!1$mt6Xk)ZTA#z9NWh;jakvbu-!3rEVWcB3Xk
zh2?KqIqIyJel@eZ3_?~9cR6|!v~Q~}FT+F_1OQ``2eH3!$QK`OrzK1FI%zpT8LN;L
zj|iv1a417PxiYYx-74d@{T>6yAi}@Od^U)W9WS(qX@z2-g(S3hvihW*D>HD-r&*qi
zBFWyE4dB4?ra+zwSunH}(6SiLEf{m~q?-XF8ikiBTT2&V)uKNaD8&8|
z533d^N!q9(Zkepb5>}1rEO7ZfP%#!(O;3ryWf~Rnz~wHZaPRA!Cr3X`-(g++R*VQ$
z86YmS(F-=UW{aS>%2m+1`3&ifHqk32M{)yET|~R1zS5hW&w+H)o7XHOxO*jq&hCB&
zc0^-k5NdMtwm+9lW$CkK3zY!E_W2z#B79#AocKs6sz&&AtWn=aLPwd@n!ckn;xjP{
z`ULRZ(^1e*fgoBcF1<3L5Xk=&*SK@(^*AvKD#2ObFp*ho&>8wPCW@{zaO9Hq8vYK;
z9SncVix+K@dt|g1?UDrct4Ls7jfy0o4YA8Xfyb90-YqQtHwGgq{ZMb}T>$(-{zY9zN0jGJ2XD
zAVhQAwf5AG={lY_=L?3i&T&U2OE&f(*TNS9y`h*fKmLl?j&yjiKn+nS-{b2
zC562(J*QSTKR}AA65fTi>Kj0cO%*G(N}Vc>cujz$R|D@o1xfb;K>?DOV5rZZ<(hYb
zq+zN0n$H1
zF&QU}zmFU(;g;^6Fg|QkOnIV#NhU~@b&_eIz+ZVPa4`JO47K7Y2y2zGZ+w8V_8bKr
z_O;9^SPWS`R3Im~&9gy<>8+C;yyU?^RGbQdz6kRC|LlDUoSa3KxR8qk0wR|(12zFd
zCx%G?ISfYR2D!2%f{GYB(>Z|&`>N@)CndHC!Kfhm?ufMAA)vI^atEyM8tS-ZILBuE8G7o2!#q3*sJib#qcYb8b!@@b0Ud^A-Ro-5fy_a&xX?j(gplL!_G{)6j~}
zDJQ3ExsuW3-PqPZauYWx?U3Kang8`4C5uF)ccw&|OZVmz&`h9v^Kryzkfq!2-t2cF
z=OE88E%#nAtCK4N&V4bGa|6le1G>b%4R$GT(EA8g?YnRD;{arNh3AJ*HG=*NQE6N&
zJXEfTPuBbo9&CzuHv%8sy?F<;W_53V??FSlH^24QlkN=?FN)J{PleqZsie}ZxIbd|
zMw&mxON)E6?CWm#2Frzevksrgy`iVMac@q>b1GXfRz7xdXH7r=qXJ&Qxj86Z*HPds
zOFFRk${mrDE$xk|3+Dr2i+MI@D+rzK^SaBWb+Wi)llCIH96K~`j?DoUmUiFcO3}>u
zHBSY!`|8&;0HE}11WjnjK7;w~^=tOM6r_;Of}u(&cP9H<$z$>YgglV!!FQ652l0Y46+#eJ($%>0MEZ9O=;K=X$nu@
zbmsZzD;|nTlw}pcyn^V_S%}gKg&$m-kb-vTB25199(G9e7@TDE0w-Z)Qt&#o$ib|lr
z@Tvf)>@P@tkP7TXS*G-pW<^P^#b5YGz`?Z~g5|CG)i48>W<+(igHH^k?9h
zkn_&Wyt)x)SM#1kdL$AJw0YhkQ)V1_Fw4M5q%Ta`9SXF|ns(>Ghl4F2=+WIWerJDi
z8TDfVt8=(d%7|otgpc4gG&$sr5QT
z`)}f74^rurKV&IU@{wGO92iJ0#6J-MAcMPBhln)iGtNMoUc93HCMvDU_#_=&#zP{~
z3hhUClWOl3vB(frkWX7p^P}qqj^4b|@Ek;NFnJdKIV|TVb@n<3ywC?6Jp4ec
z7^ig<7NU3{ne-!qXH#VJ3xLZ_|0iam&}qmcwa~j(n+)Nip;^v0m$bLPOD~o1x}GW>&zaEId~n}gZG1rm!}{}
z2dCdqacjBvsfd3H*ZRxO1>b{hQ4WJli?QniDwV
zKBb6sE|2v#wrqhkC+#g;Jc)q+fBN6nu1NoTw~);{m81#Zz-jQ%5YMd~XtED7uf~$j
zt#pm(M60w+oQ>Ecb12X7TVV%2G-#XQ8?8dW&ea%Qtpt>X!ouDO39<8LXmeU|&UtM?`bcUQjO
z>vO=$)8LnI&fn?r$}~UDq;F@^w>#6fJJYwACud8&suBmo^>EVH*|3>17m1^fTmjb7
zr(~94@J?%E^j>By|YY*6J-Wn*ZDdrC$$yL&dg4m5fP@bro5tIkVf9p0_X
zOPC=DUV1#=q5KCqCWwP+TJqujGBTj%``Pyjvv3awbBDWMB_#I;nENE2Q+@<^kdl_
zk@jjaeGqJ~9&3Z|;s?Wz20$ejGopu(i?yKSbk2`Qg$J^o%urxqjW6LI`_u?@b99}GW^A8)X=(gQz4
zxB7Pg?qwAeKyUV&b
z2@EpQ6W~SLHot{>GF1dVQgoLlPZJn-$SMO-1lwRIW)c%=v`1^DYID3&Zg%tuj1Xnyimc
zja6ueXR=+J5StnxsPo^j8gr6AAteTqKQKXL{95;&60{i@1F~C*z!w!ilW*p2M)Dup
zyJujiui9#xER~y$S_u-)jyHjO%IjJ`)N%yAL&r{hv@Gg?g
z$H1TL7Kd&GF;4YfKpf%}m*E$OU9bcsdSCh~`GwXaFv=K~{&4P9*|>D2b8?Sd7Cl!H
zOGz2A5d%ceAX91(w1H%`pBiNCm=ueE6f6Co$UA6`6jb}YMxxHiJ&JCY9H(jI=oMs2
z4uUq2obKw1MOq{=VttKtcVwqqXt+FkEBEHHJ!-|1QEY6t0SH;wTE2Q)O5E
z*3zx2rIE49wxMODC7FTf2@#zUT6SYG%et_NBIN#7d4Gjqt<8@`$qjK~i;smym?
zvl|gx(&{ZaobJEot&OSsueokb37$X<@DcuPhkx@Z4C!<#dB5PxEq=b}n!XH}@*e*u
z39FyrUyS-8*HQh%T*Ce3H-wH$S5|Lw}{@nWmv%3!ng>^Z5$)Wst*Y
za_4*k{U=dPllk@NPbqi#Sn#5ctxQ7z_i(e>s@5AYK`Mc}U2BzSsRS*H3ZG(ga64F6
z75e3kiTSCg!}@_`bHa-TmQPLph=5?wVD1J+QDm$aFlme%7#Gp}Kq?vkGFkIy52lFE
zccJefW`FQh)hGXvxptF1?uHReyD%kB6wb7(h?2W7MU`03cdODPysS@^z7tRx2!pVV
zb)3BxX~MF6^=c(dt5-{AELHE)=15nL21@9_ob%vh3AALvz-b4-J`E&4@Gukk&bLB-
zkE$9I6q|y<@usq>1mMI;<(E-lfs0TWwjbQY{RIopI(09ucE7trb?^|rb;aemSMeH!LpS>!4P)e6zn9Rgbpl7
z!Lk_m73{Yj35``STw>Hmu${$5Fa)PYF#2IC*ySEsbjuPe*d_vERWMQ14+R_ZV5*H^
zbx+kI3f2JFZlbV)DWc>QOqEy_OqCwtWxcLo{>q?W2wT^QLN4N8Wq<`KSQZ1nf^GCL
zGhV^W5iC!*jAe3VlC6)amB6bxbaO~D?_01HyEECzlBd%uU7kqUMSZ#2<`%5aG%
zZdH_EtplSrlq!|l&5{hr5WC)dgKWk@R6*Xnda8b#quBCqxt%Y!Jh753B_LKM6GdJn
zQ@2t85X%)5D?C_g3ifzU)glUZ6u@>9gcXc?Z7i13wXDnx%N4EbJ$P$f45cZ^k91%b
z;Iqm33&I;b&r`JsO)rY0Dac38Xesft8ZA}25cMb}LPz`t(}OkoW_l(vz=BLq76a(z
zfmTIVEbLNl>5bovE%vZC(v00@Y=D-^Tbs=>vSYMODngA)b=a__4P4A~vq|i}4w0q9
zg92DAqe^wtr@r9bSlWw)^f#r-#Kaiv-y+S-*3*czp;GP$cd5~Amu5gJ>f;k*HHc(_
zo!cs1&b_JK93HJqLfD%^j#MdQWHW~}Si3WC70+n>{mmX?yX^}b+&2;stHBjTUW2<3
zxgxED_+jGteh;3SJ$j#~Y7z7BL4fTh37cF+lAL)^C06sm^fFd_k6yjnE34^N%MsqX
zsnH=3_%ifKw>Lp10`b&80_Ja-V|_`{p8KZ2aAkXFPO(m3y}FS8ru^Da2u?~A;^loA
zw)D!&J%&=i$sJ38*Li~YE&1yKn?7y|%(96VK{4!!@;h`xMT{`m-8Gb#3`{%5)rhbf
z3>byT8vG-THRjJGi+%ox@otT>*<^6XRWuEc70?t83L=VT$YzIwj%O|SwwpL^GsBkm
z&qQIXpDr0^brd
zDB{@%Fgqjl26%j1XDFOq&9P;$xDk{SaN2O#qmXWeVhgi{fLJYzDDqmEfUult52l)x
znetREVr6y$Y&TKZ%5cw(3H3r`xpHCYhtdrio8REUT4Pt_vSL==0K)8va<|E|pR?|UAk
zbJPU8kQ-=~#jp;vs`SZ)ETU4aPBA#(*CIyxi0mIYo*h7@h-k9&=v*?ydQZSvwaVDU
zjL4)-Z-*|zoP0EbY!=H6qB6v6=2s+azUU&VFYOZlQq&_IT7FL-Jkg~D#5zuhBJVhH
zX!rh0^j%fVKCSTdNt5Kqd#V=E)T01)kfti~<l@BqDsj7ywn?qMSLd*<)(>+d3!JrYBmp
zNj#%yxs@ls6fj=eJC6RgBU4DV$;O#J>#AaU|~sFhHo$
zufk~wK^i)WKEv|hz2j#6nQ$dz8(&Wrvi)zA+~Zp*>ss-tnk3V
zRs@97gXE)#@j!AbBQ8&+n5v+Q2=*G!fA5C!PAvFP%7Xk|I%WSAgG(;0wWnGQb+?E5
zt!PHJzV@lH{M82#G-WSP+q
zLDdLGtEEnhD+>B;*_2-P9ktMnH>kvQ;E3EewD@Hl-VAYX$7bhh`au9+sU7XH7CceV-n=h3H
z(&YCjH!cA#jtwL8a-OA1UdR_VZw=2BmJ{=Kob=9N$kt3hO#Iga{@LNlc{|QY^g(dW
z>GN#xUDyjX1Ibg$0rQQe$bUHwv5
zb|s){ItrRAngx~MCQZA({nmsuWiULOURh!K5mGv~gF+mQy^bWQh@uBo1n
z*K|B*5rD8h_RP6&Mw%9KE8l2=pbM`lErwh9PWUw5t$ZnbCEQ9Bh_0D)cddjV=R(}X
zk3cSRkY=Vtw50nA*p$$dd$Ho^uM~Y~(EchAC#yWV=%Z=m
z73(h}9S7N0=#uYC+nONPj*|dFyz|8vvCO*?=vkDc3u=u*7UMHxZyT(C;K5s8oHn%$
zd&Kd9-z6Z{xDQce7%Q<{ml%O_YFXaC2LF2xmWT`IWB9G7s%~{6m+O;90JfVTyjrga
zl8fX}CDup|ReGp{%}Ve(u3Dh52u)wa?Cyl%P>LzCzT+Vt(wR4jP>MZPO~zQMtqU3HJpn+B&Ejp=fJ$N1fJ<@T4mo45*0Yn{X-&4`;yO)i+m^)u@pB6?L1l+dSZe($-ohdcUMw0b5qhc0NTAy
zNt2Z@yon8#yO3^TgM}$Uj_4baDCEt1rif48JPL!1&|Gy3LUTK82h^+8T0IN%KsN5-b=Re52_
zIIs*ZF#*1n+He_#;><3@AZ6>rf~~)fWoz;){Nk_+7NBFP=sOQHt3}@pcKG&$s^IVm
zBjlf1ts>jX`MKm7EtHRGxHAMU|0qo~C+oPnFI_#uuM4o#hk8)govQnQrs+}!nl1M1
z4kjSh$(1PbPObtDU#<0EiumvZYmKL>?rFwOu#N-RZldr6i+irmA)QBr&hsFx^)HO5
z&Lcw42ygA_o~k-Ele3_5cfb9mFcC5Q_UsX%yofod={h3R^dOz1CP;5?CamPzI$2Pq
z2iX-;8MIE93Sg!XM%)zPfPjwi{1NnUDt8&V+LAU;7H$AZ-*xq?W8Avz`5AyW-%QQxSJbfP{3UVa#R5)_aH!bfWv
z9|#~5^AgF_XI>h?t;|p3ogxMC^xp!IWuATsDG|<7&G=ge3Y=kxjQJ)$_j~XuV3uTq
zL3aK=4<3@)_xS6{xjoV^irGPPd+8EMH`)CW2S3P(fnuj6?3HZ(VlgMMMLuA;h9ae4v?qOxUa3+5+^{#S(f+^;^RM3Y9!|)7&HDu@d!+s7&EByqH<|G(G}h8omf#idXkQ8?B
zl4bHlTW?HPN0%a;-?9rQRUCXIW&F(#gW^{|2M7p1={9^KFOHtN_(_a$k@(fpS>k%-
zvWO;u6hx+b0_V*SGT#h|FS`0m!mPVuRxc0`%8jXUT6=>mZPR1*aaeAn|L>&#!_{}|
zHXJv!4l=mGU-+|e9YwaTDQ#<2w%6M;MdDoV3ziMt;rX`usxutx6N=k^y%Da&3`Jq`
zAqsmnKUZkSdo^j7lLrxu>D6==OIhHEGXAM_k!H33<8D8|ov~qIMzWsS2U()+xpFoL
zR?4W@yfgObma0bOUcUCmq{05*&yQ)&y}IR=4|L;`*{fSh)lJ+NqEcDVPTzwwDt?&A
zuClc4MD}RQ2eHVa?%R-6?-5!0VIq6FrEMp&8!R8hB8w)d}Bu;+1U58%=4!DnqP^uPnra3LNnVNb%!g^g(+;L+^EJ+?l$xNvtI7ap*|
zcX5H?8(dg;akEjA${>E2z4)E2l^!@D8ZX3&eRNmO#*QUiLH0-eHoNrb`y)r!edvQ=
z^*G!H-^Cb)AIF$AwpMyzjA%TPG5+ct=4186dOd4$c-ONg!0C%>Q8jqYZ@*}HCZaOOa?e)^*fOjeM=cQaq0f{JV?}2>d>X%^^DOvEtmq*7yPheT
zPkBH-g)GXv66*1y%(L+^yC}0w%+j=@#+yXC$&E8ZrPAp#eo5pYo`moh2OCs^juuC!ZZj4C*6oSWYff012O|!Y@+8eXupZ0WI-+wlB9!bK%SN}jj
zz>?-Kq!&eo$pnIfG0dE70UeV1V7W%>4iA=y3kP0(-BVS!eX)U8cL8iSK{!-M5hNGS
zqe`stJgW5Q%|X0ZyzB&i07{Q-=)+le&jtr|Jn!-e4@r^woT>EVRMjo&YjNF$;|a^h
zuOd;uw9?o{2e!mIV5u_JgoK0BbP=dc!o6!W%YWcjXg3>Ku9p%Jt6YmBuUu=`6
zM6$wzsV3Wx_f*woJ9z+D5fKJ=6u@>9g=L$2ZUhycdmzY^@No7hXPle$9;CJYg%LG*
zhSu8gnbw{b-rBjIszs=YDE3Uv39WytGX1M~kj_yP#4cxqlw4blkSZN?YGrDB-1WeK
zAjCM6vpAreF(wBWMuSX_xZK-na(pYTuk+ySmIpRDuO=W?lOu}yVRCNrV5$kxJ3Up4
zD9O74wwowya=7QgCg&eKNNfEIBdXKnd^xz&Qa55azvvz
z2Eq+HZ_;jaB==jDb}=Qam0pu0wRa#vh;b(86#?ChF*&%s5oB`2ZOm4aNGhQhPQUUr)m*u
z2AdokHC-lW*n@PAnl_Uo8trCsRB0EJ!&>PzIZ}HE5`-9Ma`p=7W`xOE2m6z3acEL?
zMrHV_Z7odG4i{!M;E>h~EkWT)yvdo#c1>*2W^P7Z06^4C9G?{h$Wp(-gR)z>*vaV-
z5Ua%zMg6ci@AhD-$C{Ws?sC;{8qf|1XKpc9bw0b
z^s79iM5;%K^b>~H=@Je14a3n>TnZzp#syWkG&^^V@Acs7W*f`$w+M(;mPJuNWceWv
zrkX7O(o?mFEdK^zyNSZGtca46WmRI8WmS5Zo71Trdn$qqBg{A%zRN?xNEu$Y(U4(H
zOX+@_sg~Fo@CdSN<9+pi_Q4HYNkFWEEQ
zRzX&!D+1V^N^?kU5NU)SC(=iHh#4u;8#wNOZL>TTe){lmZLHQ(cY?@Trk%E)6IYQ7
zyo{)RE8>v*vBT33H&fYUPZAKTq>G|{NP5SEsV3>K@>DG%>8}IWZlbWs=AIi99@lk}
zH+zuQ`WHr2=UMTOg|~LAr)m*uX3vV}cf=gjbe$FdvIprLH9>lFCP~S))g-CXV?xzb
zsa_}e6EIHLPMmR?2xmqYS=w$4fO_LXpuj*P_pjyd
zdhdy>D%I*1+U>Qavl8bMx+k&{A@d4E=3GJ!$?oSUJDWsc#E^m|5?QS&ZEuckfD;Jg
zkZ%+Jwr3`4Tk6#f$E|_QYkV_2R)l&
zagn8MC$i^@)>r9d+hc=l0iI0wSJ>dYq8%B&5$(8#ilc=m6Mo$WzlS(S(QJ2H8Nh?Z
zLZxj?ScpZEM&gIrjThUx;fe#v)+2FhQ!SGFf94C9R$8j08_@)hh5Bw0#7UIW39M){C*t0Pu
z@yAD#0T0?b;9|f};u!FV4Ze#34Buoxce}LLkMpYxNe>JV%@$(7-kL{Y`2SjN)OBsjTd6Z0`RVFeAr`HiW5AUqVyUY_AVa0
zB8~^w+2Ff)!0-(oI2@<<+TiyH>zeI*+Qj+M?J(MmEpMMbX8f4M$TloB0LI}!~rLBB|
z2rA}d8*ueUvsJA(AZ=|4vdw~&i1QiZ6A+iJwGu2k)T(SQjZpf4S@N=ezupDC
zPmj$YS$Iu)F#)lzNsFR>tVuuKgDK*}Vf2HZs`@HwY#99!0NYIzUPa}e8*9?8P~%fP
zNNfEIBdT*v`n>Sg&h}K*shKuB~g*s&rkn
zt||l6iT@VNIJT^t@$SPnbdyd&EC?V6uTnpXs=7}>oCu3pdT7I0wGl|I-Nv=lDRFm=
zKBBoylxI1tC#T_$?3OZf>%O-$_8M
zA})&hA>zOAV5*7u&pcI&i1@Dnwwov{;)*Ca5mzNv5m%*0NfCE4Jr(e<`XJueLY#Pi
z!$Z(W@ji!_UFp)X(hJ}c;xr8X2gh>-0kMj`DDsNE=T@>)Jy>cYe~PDS5s}{ju!BUNd#yX2odv*Oxokqu
zCL=a^@YcE*N>lfF*lKu#6;IV7G#!bfsm(uB;%7A@s&s9vRw)K`qCW-Wg6+l`m&bd^
z9BEumZcN!m&h7QdVZ3c)#$r^uPGOy!5;u78cB>2zoo^)|RvRLUyf!4@ob0V0Of@C@
zkf&-9ng1xjb`yn%PDPa5(5XtSGOtQk$)VHF^;Fs;J_0$%w&LXcS`TR><@_|-s411V
zHk)H2=Rs?#R;p_wW_qi_7#v@~K$1138U&J*(yfuq35I~pp9eg>a5I>t{yzzbRq92N
zSLzpHx8=AZeke}T2>&M!o|?@6kEd!8nSazz17%*3Bq#H##47WubnWIy{wsQQqCW-s
z$9Ci7|9%gdBjx{`VVjvp4|1eFT&K)2#)*f#FWJrPC+7@6-}p>^cBkhgV5n=oHc0-D
zCm>e&7e!wA53u@A^I)oJz`35PMKs_-fbAvw)2ZUh`V{t1HoSs5UV1HqJAjCTRfO*iZJV`
zT0{}91K4h&up%g;BB`J-d6_ZIfqxJGh#w9={!w`(nVp2T;>^xj%y(&;kZDM2FN>$d^DW&`k$
zr)q@4<*t?f9l#D!xL*(wV1=w|rAklgk;aNRon9e;(jgXcO7}AlX;JA|Jy7lR
zDo9h3d8_n=jLBaB3w0@qKdNw%g0RbIXC7DBlPTkk@#nawv;)Z&>{E(lF81kMK)MgHPul?u7%jYjiRnP$I!|NvT9esoBj&0zrJ7QdQ=8HRrhCR|
zXCQeoV-gHx&}|AGvd9~*p-RUo??
z;S|f95&j#%x(`P9S4cKC!h#TFu|9w_2?;PG#U}Usy^^lvPl)S4@&`uQu8F$jV1F?jb=RmH(f7Yo`p$h!>i!SrRWCyi
z8I!s%RE1%OB>@yR`6L|SUG<{btKrVjMPTu88MQ8dcaE_In{KYOw$<90n5H$%G09{y
zvYQjBG3jPAR(cTEXM?{7idy4IR}c{Env^K&$C}is9!zm^#_^=5c&h4CeNg&LgfPSqR-NFa%rtS
z)oQ47xazm+D!FTa6M!Ty;Jp{BMwr6&n_&!07*7kN(q%W^Daw!ld@BH17J$2u65(UvUh>2R4|e%Q
zSRCf4Qs%VTFFZIEuwk;nph4lMga_K1Z02%NVi_p0@(G#lEd06K-6+r<8Z{#OlFb_~
z`r@}|KlX41jWmljN=lSiJ6lh9y;b^%(xG*K#P`ce$6X0-e(gXEgO0TW945uu!Fph&
zSUaGnE^7xo5x-ozh3qCCjy_`v{KXaUPrH1sv!vF5+hJ;xvv?8xZJlF>o8uGpvDy|$
z0yhz`YOtcqs(}Wjz?y-YqG{kPE1&!5NK3n8zBCQbCLm>ZyBe}kaEXG@nV6S_0*wN;
zWrEmc&lLZpf?b)PDfa<#%B}aN>#AppV{XFzG{CtJ6YgmM1EzykJp~zPLUCAGomxd8rtPlswR%73H4I@*5~80kKC+=
z&Fe-JRsvu(0Jg9(C&D@s$BH@zFh@Jqw+8f=cdS3;sj7P`p6PgQ$NHlHTlZG3!QY=;
z0RQ8g0u!D<{tY34{-Nzo09Cp!nz~9cI`Q9v8ez-&pyhNyXcqWh>WNd`q}PO!7U(s-
zDF7;aO;Vkt<~vcAJ1)}tD#5pSO`iuGIu5T1%Z1nU8+@W27kZi-uW5}o*9>r)j_Bqz
z$phgqb6$LLd$xjO(`CT=m~?n*Yf&99pR~A4dutd=kI8tagq3D$%YR|Yo+(oy4%1Qv
zq0^inhe;zQc{ls$iPU2Kr4;>S0DCe&{?cQVzm#^StGkqQb!pjIqm%st>BC6_Vp0N_f3^d*;Di9N29DpqQi7$kz5lq}0
zZ}prRs|`O?(2
z9|Fg8zrXwF#!(ofcYv&aPkq&C&x^m6A*WcR8hu3d`_WmMki&hx!0i9Sswcv)G5a6l
zd#1EV9ztMwckt@2c;p!-6Zn4LYS
zdIni_xnu@e^&XL>A11O#SlV_Xdzj^eNM!eHOpC$Hh=!7H0a1K3(R`AnRVSJ!T0V$I
zlgHc)n&K^?Ig>&2FD$J((Y(m=K_r@eN$y*>;Ne8PMjr%cGu>f>?@Has@XgeX-IM#i
z%m%-Q)QzIq?xTHxD()r6A2uq6^mtRz+-U2FD~IOwag6wY4Ze#J4BueH0vJ{0pg_;2
zvVO|eMi0yoO&4OuV&MYVSm8`-@J(A6Tx|GS92>rGgYRMk!;fLZFKun~zy{HDAvP4r
z?7P>mB8St3^g*y`I@ku^#R`URu)>?!_b6K{JupKwUWgezWcJ-)!``J1Pm1Hg1vdCD
z9x!}^2ae3X&$Pksf%>A^Le%d=>hYGXH!f~8;<#~*4Ze#T4By~JKYr|6aGQnfyg*FHBJY!q+T4mI$~2lwB$4D#4t
zyL+xL82h4vMh)vdVIbN$lcgMru{qBpt?Z;4q)cxdk%tP#^rMLkNh~
zK#3x+fm-0sEWFNxr6z92da4#tr{e*3ka1E3$qmt}#47Wu^w>DArve}OAxJy687J)r
zdPt1ih?4f17-=_@6^=k>jxz7raO|XwdN6l0mxtpj0kKNEC@L!LS9`G3q$fi*`7J7cTJ#ky{9O$hd%j
zST#cw^+PkN9!xdOsCcRt(Tov*?IsEj8;U47%}^y)%}}Kqib+DM9t8n`jv!8PI&z+e
z1(CzY6-MrQNtmFtt_nZNa5s;SHe
zJynaS%trvWn<%U@iYPgiQ6*NDQKc96Su#=`>NjLiD#SWYsjl@fDN?D{XHwrw;#rcQ
zXO+md%jZdd{}T`LZV6$v`5^(Zs*Nb>huZwngQ=!Ak9evUQJX&lY&TI@Z4^;*YNJZ5
zYNJY@5X1RYC!#(BfyegZ1pfOT@#ksL=rtlA)oyxQQs73gUmJT+Z7*Hg8KE?fw(gLFZW
zB&Q3i#HtIb^vr(9gyMClFW^9T5WhIx8S=0rQg_zNsJGIw$Cgg7R_kpD_JB)+uBy%K
zfOE_xI2Q$X2{+o4ka=Qq62gRFjf>;2Y=eavLDa+53wDchlX}`9_D&9mx;R=*cM?JU7qJ;;(X
z+gT(UvPELRIl9K|tCCMZlZhE_k$ehqm7PPpXqX#J{tIKC4!ht8jgnJafv0;6r6fr1
zSVDcslG-1e@O)3NbL!#*DQ{faJ75cu&n9C?SK#5)-%(Zn+2p{3<@W`2ozEoS166%-
zXIk!>BcI-=k2G837&Ev@oH5@x!)Bq>+?v#e+hPC(HU`yIwjr!Kh{`V!gu@ha1R^oSRd{|4~R=~O#}XV@(4OIAxdK0W`>WT%P`fbBj_>$
zSjmLt2s+W+k&*|?#S!$UL&wAsbb6ZGBj_je`3Sm#SKtWxw9t$pJ`t@z8b{D~8VAuE
zJ9m%6=nddqn2ppAqbKUCd5zIlgzb75U8^BXl01x_7MNz}YSoio52L5FNM3-z@`us4
z=!engKn&Q)evF3Eg$GUW9BUEYp8mkj-|if
z(zX-X_gX%PMHV?I+;ih_&O-GbJR0%C6t#b~wCzOp)0Ph+k(HrhrVz-tfN1^<{XLde
zooL=|`5+q2=ri;WTUvFZ`Af?O(P-|pFn-U5cuUmWnNCQ^N!$CsBGqY$<%38x`*PI(
zNDCfL`aYgM2tH4HoDII~Kpew2P7m(U{iy$GHuyc98WhcTcf|tCTd|}5&#-mGb)Ii?
z93w_-@Lh~x_y!|9NB!HjHhN%&Xu1$HdOhm@T3Z)fY`?=94r3a2H(XBhHtRKd({6vTPr;4V_Gdc6(4iyI8z;6}hv
z|MP6^^uQI-d?Bu+n-aLVRW?cGJnCPub;3ogD+M!**@QgX&ns*4r#Yi&+FEk4U9=QQ
z7k_m=>TjJ1&-YRPbfRx=R^V!AB6c}aJab3=YcNUZ!%_chkukgAsDIjdz8rNM^aq!B
z;*a{D;63V})=*NJ+zcIumG{5KKM^bM^Lx}kN2PZ#y7O|>|L;*Y!jAfX4DlM|Wu^c7
zkNSVZ({p`c{_RlLder}`1O(^WxugD~$g(vNeboQQ9!$}g@Qs5%^i+I|?9;7vCQPP`>QBftgHIFQPE~i)qyC#cY;|iUho5XDAXalFiuz%$>K;rr0UYsEEuvso0c*j#bX
zgU!{8JVVveYp?TEEkey;b7iBZ%Ur$BgLICXAiX(rB^reitGQC8VdhFd
z(iv;6^l!oVV9Rml>Y@O0#F#7G2I?g<$xcsZ65saHot}QUHIvQN*9nN#T#2H7n5&<9
zFx3R`$DXQ16zoBO?IsGFEADx)x!Uu;gT1RTqB_mhW5Qe8&r`JsHG|ESjhZfVwaSCE
zCM^QA&0MJxtGQC8VdhHL)L3(+e+%XcTaGhVU-f7Nk|V-g&0}Vg%RG#9>mnPdO9_b8
zK#3x+f%0S~xypm3CT^piszuak9ALW%!p2DvBsWB>606Ls(tunI_UT0Aham0PW}LKN
z;vsRgw9i{+lAAo3yP3<<{tg0Sm3C27RN6n`!BUgXk@imkY&Stz+7&@^(ymIZ
z(ymGagjV+`Q}Z7AAxJy687J*Gct{*A?K@-g@EAiA?Rn_uVj)t<5$5tM59V&>va~-)
zK&;X(ii%46qDO)qvpqdki%9ztfbAv-OS>XSPTEz8RoYc)fY9n(kCJx%Ly&fCGfvtc
z@W@Q0wC^5ycs6+C#?5zDgeMUYt0IV^qKa^-2TRTDU*f4+L=iRvY&Stz5fnjkil9oY
zil9mhq|ix~q5u$35X2=;K~D0JK2kw;Z62OidphHm16GWe6A-Inh$63I1mxj)hX+$l
zId1S&EutLn0@!Y%uyQD(iyG~*Wl+f5YK3`LZjW~dUYW~kDF>2p%`CX}H>NjLiD#SWYsSfinDN?ECHxJK*2YI)Iu-c3f5UbjVqJF5&
z%RHEBYV%@G)go&13V`h<3agDGN=|K5iB)Y>X;ea;R41Z71A)i(;sn0#A#bF>??!oe
z{>jrbH{)3wK1o2V+8~O&+ThK@^9>K4nl60JQ?-aL+ySuNBw<}pB+2Q5DzWN2t%AMm#JzLGIZwiXbZjK^6(sCfuJ7(HACACtzHYC#^>QNVC*3&BK!=wLfrhfv49wb#a1}d3bIM2uI|cE*Nhen4#lV5xID?cGsCmgHldz(cX0e
z^YDxWbe(g#3`134P`E7*4}|Ln=izbHRkEJu;c-<5QQ3hQN1O&2NZJA9V4fj4`ph#U
z=MHPS@lKI|)cx83WSMtwL`rx9`ZeCU^VlF}hW!!(2qxD3or(S5c(6B&OI*aY2ah0U
z;yoVpz$Q@8@lF1EG7k?jAxdK0W`^_d$TK8Sd3faU93>N$JUm2mM;;z57kPN@g^r0l
zJoGd-d3c^&txvWqjp5pst+n=!TCK6=_$}LOt#*C5Hd$U(DrZthiOe{q@mhPdSzR^T
zInG)>6cRN^4
z7DED;WC{GwNY5wp?)*1c(uWj;&I{L$HpgpgC&w%8_Gs<+waT`ytu}`z*A5M>Rg_*k
z+-%k0^?0S;7=lcLSfSm*`=**BB~@z(YYlNNKjB0Qo@5_A>CCc}n1YsOnwLdXY{{UZ
z6`+GCs+qJ~{>Quz>P$zm)bfGuLS^zcETZZrz6(GoEZC~ofGa(lm>z9u*oo;8mJhs`
zcDG5gV|*wx6`5oqG$hg!&H16s6#)WdIEF2_F+zSH3D
zU>Jy)n;G+YIaE1@3=KO}Sx3AECEMYveNhbg~}19
zCK1J+sp*RA|BeUg95q3Db1RBUuC1#|s&wCsCMq-A$(Df0#jkXe+kL3TAp}o6UK7w2
zj>*58s=7}+9u9tov?P2L``L}E(~fw2lBIugn@2Z;d8vC50kPT;QPd9`a<~UmO)3UF
zRf|Y{31GX4!Zw6^9&AHS@*u7CFN~!PJ77@4*`27jgDu&wy?i_QPqC_|aQlPwb;jmS})S|gfJv0!6UOr6)qL;5h
zY;MVjO=a}(t6?>wbmi>m3ix*v{96hC%2&?HVdp&ov||P%?fT4MV@1@zO8SKWWSP;Q
zLrR1*S_|p4j6kT@BV)}G{QQR5#w`N#Bl
zy`df})BHG-zMUCYZ+E6|ccyRUy)gNe(*vyi7Bd}dnKGZWrBVh)>qDq%3qw{)k5Uji
zJLY4h)Y{*CD)8s;LN3{sWS1NGSQa}i6~Llq-kQui4M?9|i*YW1o@)6(AMfOf=KiqO
z3BuW-@Ec41l7XiWK5AnNh51
z!NZC8Rf2e{^kw@!HpoWc$t29xHu$bwh78|G{OC=E`Wjm+J*0gUjdvf-0t88LMVQF$
zTu~<>g*auCe&1~Ck1H?ZJL9xqjWcgFGK$2RybelYwve*D(fN)P-HjThwyy9QnOQJL2G0Y6NB?E9!a;zo#N
z^nsa!)nT;;ZSYw5=r<(?v^>bn#c`0Go8BAvp;=w0R1!Ikfvq&}`ShniSPs
zV9nzJ^?n4_Aa6LZMo@!dL5@Jegrp%~c@8YTl`17(mZ%SxCPyn1wGuAJ!R^Al95*D5
zb!c@ZK*=)!L0Ch$9REax)$GDmBoR)-7|%~Q4YDyXoCfh4WYOr%O>Qdv55
zE-!kn!mFt(jZ(b<+d3GN1(A)FY;0rhtJ37uR=THns8rfKS}Pp`pVzCk@~UGvV09UQ
zX^++?`NCQdLy*p`wbB&daxE@=ELEy-=QVtv5ztJmPiE1KZCvK9l2lp;eT9b)#tsA2
zwa5Mt5LiO8#Qso`W!J=v{qYh~>Z8A+*}oe+{nPeuuk%#Z_iLgfh5)vklrmz7kN{HV
z15sp&brbm|vULBPjHXlLj-?Px6@IImDuY{{HQLqTnH`9nxZ5rj{~SUW>+-S8`#g0j
zyEGqj-S}rM5cE}4b0E_>ocud{8h^}b6MU8Gh&blt?>0&y3BX`d0|0OUYJtWVIso;Y
ztSPzwnzu@0a{o2g6*ebIZ931&w$x9fm6x{eZjjuVyvD;sq@E03psMcRr&GmBKF2?i
zT|X-uXshgOso5aIJAG_rx;`n~f{fLb3;xoj3Tr4jdo#Uj)QzXGM{r
zxg2P!2M)=7V@B1wZN1-~{*jquEcfwLHT3CLKt3WWaDRa9CJI|jMUQ)BJPQoG5UzN;LHAnsZ1
zx}S8eM`qkSXGJ)ZfLIkl6!k+9p6$UDS-^_$Oi$G!itrqO?IsEw{)<|yn%pNRYnx`
zLuGF9V5+IidpuQ(sLcBTwwoxdGKwfUl~E;Dl~JVug6`8~jP6NU9f5hbTDs>G@s%gz@JynZn%^Lx>
zn<%U`iYPg)Q6*NbQKf2l=v^Xottl>Ekf#PZAEz~K4=due#y-~cM5C@_jW7JWDJIRawU8d1~_t-05OsirmG_EasRHQxo;ZlbW(D5B)FMwM8#MwP0urgw?ZwT8!<
z-hqLKhPcIP&A)h95vw&Av11!+c1Dghc*9=zd5tef=%9st@X+=rAXcprMg7p4)gDYW
ztvSY1wTRZN0oXxWqll8z8dYM|8da*sn%*Ts*BTycdItttgSf?M&AuL1#A}Uxtm&y+
zUB?;<+TsljTLjluPp{kp!eh;I2#8f{L{UGqW`_q;O>5eosztPB24K61!efmhN=|E3
ziB)SJc&zCi7-$XR7N<2=cvumsHRs49Zy0ZKdbL__*PD&XSm~nW{z9`+$;@kp$xYpFcHe|m~8#>sx;1mi1;N7
z5%nCcOD1NH#inPCTx=*U*Ds(`XrH$L2#j6013uMa7Zy@Gw$0Zal~!Z+Rmmry#l#l6
z@aSwe@o0D^RAGfi=B~L~vwZOHfWFVu{hVGoL8_Dm0sE>lWdT)nL%j(SJ3;qHsA|%$
zlm&Y)ayxq1bw0_y7gY5H$7v}GPQxIy#?<)MS_=c%(lCeiXr*1+QESyoBI2w{0g>SK
zQgE6I^pRm$h2f;yTo@G4e-Nn<5o|e-JT8F5EC)#9(8KP5auAu>V0{3xEDt9mB|O2B
znmnkhY7M(6B1gb
z0CGb@vbC=uFQ~c7Z(mYzbKRWO8*)9V1Ub^Vx;8AIUA)B}!N@=gC0_9Q^Kncp=3#cX;8A
zfO{VfFMI~TplSLlXtp2+Mc&Ucv%OhCSDgb|R;oaVxJ&>F<1-B0HHb}YW2mB3Ky`j0
z;tM6h$yX7df#fTUmdwXuO0n*W3UfQSOGT9^`Nfoy@5trcEceYp`#v-?6?S^zKEz0I
z8@{q61JwrP^G-+iY+?rHd9BI}oHnS|rfb#GR#-sg6xeG@n_Cb{G16=)Zj0PflaOP2
zY!XT;@P8!${R61vqtic_AY~6lO4&g2%K+-L?}pS59Mtcjs(ulP^xYl}wmwi)mP6GD
zQ8~CVG1RD%oRq8WnTgtlt
zYS_Cwf{+3KbB}TcO;OUNb14xrUp+aZbIA!%*)~;13eP4l1rLpA0f~3F)!MV2Wm>C|
zoy)Emh|W1ZL~?2m_jCs-$?}gP6(#@9))RJWrInQfgZm?PYULoOB;4ZE673yMEtU(X
zb`qZ`Q5QYUjZ=FJ`GKPWmkwm_!_fVY(E^U^eg+_mtGZaADCgz!r?S;FXX^m5in*h&
zR1iAJyt$)5xO{%ASO+x4Jh>h_F+UFIa)WQ(UCtD{oXhzVz_t%A=dA!nx}1Ul&ToES7eR)`v$+qZK$u
z0Ef1)QHe1T0*^Mw#YL)893;Fg{t=5>D>eFm%ks;ig>q-
zk?#9_68dCyY#-ynL(HQGlKuSkq=$#}i(DN#ejeS!N*>@cJId-a{6o#s7PBwvO}!
z^99Oukxw`bC;AMfyxF8uB8C#HDj{KRJg-hJ>B
zUkPBOpD0K{zQVJa$zDHk^|^3iQSNXLWw)q7{_}Pnwic`6f-otfF`p>mP2P+c4J5OS
zn6yxSPit2RDbew-QaaA1&vgql6FBg`2QeCCvG@C20~glE(Jg0=>PNVgXYQ<{IM{Jk
z1J-^jlC=ZL-v@M?og?ga;COixRqeZT^dAAp@^0>(P&I-_$I=<1(hEvKf5o=sn(~|yEa_%QW>pPTg?Wp
z)dOGwa~Ul2S14u_W&z6S-+d5LYM0!D)Er2@#YB~6)jvnvMe0Q&a91hl
zMf@3JG{_3;pCVpVF=AJSn~gTy2adN&;<^Cbkk+866;x)P`$g
zW0TUl_8F=Yl1`rigS`DYQr-rVKLjv?C$7khK+oeRRJHFD*Ta?uOU|KCH9~UsrkJN8
zie(|b+b3{FHN{98WRLgYrcdKy<5!Gk^>zL`fzH+$>W~K;xz7Ite?7U*j}(n!zuSl8
zb$)4cq=j^U#Ez#Ns}zGRj^|SWUDrB4mJ7#o1fOV~pPuH%@m!0p8wlB!?agTjk_+%V
zkLvDsrf>?lo%$MZ3ed8`zpsh9G>h5SraHV3h+53&e7=IvY0a07LyN%>=qHC;3l{un`z-2(uVxG^X3PNXMzC0gE2%F!tgoz_2Mvu|&)ijHY
z%RP-E*eg@NO>&JxXS2giaul>t$(-*=4uO|o&g+&B^s4gw7hk1X3#`t^#ZuZQRb<2b
z_-qGQM6&xDVTxnUW4j1&?t{nnCL|gk6BA@059AW0NXQ*GYtduFk^RgkJfVcr18KV<
zPMlIn&=L%mZL4pu!SQY=RU?1&cS@F$cOh;A$vYTDX;S?j-L6nEqUH@LHGA^smTj!G
zcrjJlCH<8m4Oyj+L1S4p)3pXC1nec;ig*pO`1`%OwQL<=Bc%qhgpc!=`#x>4^*BPfGnHRvyl?v
zrc@agiwVMLBeXk;CnQ!^dT`MVNb)dq^2U}`po9V
zmsaYNHKnNXr%BM42B65yeGycRVD6KJk9T&f1qY`gwbuD~@0u7WOR%rmXu?S(bdul@
zQ`bQgE)0Ftsu#^(4ap)F0skQ%L~^@!%Dl6;)`lFRjCW>dZwTltkDAwcszwOf_4}D8
zSd$w8c95K1OGtnwSjQt(dTbnN6-_#kAA&?j@uGwD{FS_079GgEI6{4}Tr4`=2OSfO4)ioPiw1kT`i^0_>$Aat&puSEqSUh&YK6!m1$
zKA>;&Gbi6yo0DTlx^AGP=;fy4zW}25VLCnty~Z&Vv$hBd&;;^V%u??L%8_z9-fp%b
zlOyy7GC0aW`l@**BB-ts&SW(*WFRTyp9q(4aK43*2zE4M2?XnD#;tsNIZc(mzoG{z
z>jq?3SaO#2h>>C{eC1BgGO*dgKt2yGEr_#@LbT(o1{}ROlA{C31p(b=Cmy>UII^8g
zRsHj@NGEQFU;N4*^oeUS$r-M@+rAF-SQI0~9GS4Vg;;A#&Z(v{!ouP0r3
zq+b-X-5v?=ok(4da$}^$RP404F|P-7U3({3F5H-p;}h+j(9_(wF{jqYCz`GHmhsx;
zXuY|mxizT`x4Zi^bk}nlyxb+boegFIH|J;`Ds5oPh&ZAxw^r_y6PV6Ege<0pZB|Rt
ze3>tmy&}W4s35jgv{3E??X@_=pS94W#l5Om!t03l
z2vfQw-$7t`M{O_3J7P{^?EGZPjIAHD4CZU;3$qgsL%Z3L(z*HbOUnoPGInP3=VyV{
z!I45Q#!8WS%N1y4dRMPA#Wm-3-UhwygV*`E<-i=_b?#EdA=m8-&?i)Vzpr~f*-MNQ
zp8>_i82d$dI~9Vv{lu1f*mo{)zH+=OuxrReazg?>zwJBN^ph9bbK4
ziG5%Fl_C*Y=~Gc|!rb3e5U)WtKmM(zYBsa+EaQnON66SmOc{
zZ$EAIR4w3iCfkr8+V)ePKma)(G
zkPRu!6CD)rK;QR7s_LKU1WrQV8Gs~DaNZ78Bed|OO%s)Ny)w3OrX>76sdX}O`$(%f
z&L=L&^a`I}rJV9!NeEKu2aa(y`CXj-1tgEdW_&`d5$=;ifm6
zUyxUgga8QlFuyqgR?q#N;wcRrKlEU)o1v#g30xR#RSKFf-E^anzYf7V-L9op~hMQx})_7%tf8x=}4JWQCwd?J%8oz^c
zXk$~=T9slZC%242Zf!1^nyhVsvzOS;Sbgh;b1>8Lno^5G5Vp|UnJpvrZBwn9D3g=!
zN7STyS&E~y$oeZ&Bi8{NyPM09ZHF}qLZ>kw+YWl~@)O#Z?;czs!k5kY^s*E+E;gpr
zi>O#~jDMNTIu}Tt^}C&u=`-nrWED()m3Zv2LAC);Cj6({;GYN|=OQ)BVmi(6*X!^X
zqDIIj#1FHTVOuNbWLxPRFgZ0r>td7Rl~((CQ%y+aIr}Q~yq=^t-rZhiRtioNv@n)9
z_SW>)#*@XOT=qu(H2d=cTYp^fth{08b|Vd+uj3zdf))G+T%b%Ti~;#)?H$EIY!#
z%+3thI^$x-A@o7;ShC6n-^C1uZ!p6?rmYK}k
zXzR9%c^Aep?>RR3F6J@(IOdJnTIqp#qVYn^JJ9BK+Zea6SyA#V``TpJ%WNHWvFk-~
z?0S<8zKdN9-(c4wnrg@n@h`I<@3OVi1H(k~g&1~d_Zg9mZ3o(_%f8wR&8~mS)^!&P
z|1OS&x7*;mSjg~WS$LPNogP>ynvZ0mzdCQzrE|*UDKMzdQ#{!IxjBCKkgycP+~(Xd
zfN>u-=l+PC;*c;w1ls6Xh4cv7COdBFq
zd&7zA*0J%vU5|MWSQ&YehgACV?;@yc-N-wUfLJ&3M3HwRPo1X+AeM_wFZN)G4CRfx
z3p`czmGa1Fv1B6>K-;*>6NESJ6hU$ucdEp?ai>a$=R;zYHR;Stb6~Epf4aHqKCYnw
z$8#~qd)SGb{~f3zR9#C|-HHjvN^re7)y(t6?|D~Exgy5K!XCz{=QSRNMyluk$mPlO#I$+?fh#bDgs~6ZGw{A9Cu+m>k@_%fxHlU^c-d9G
zDz3bmT(1Vm6{7M9E7q)dTCENLKVxjFHVJ>9Id)0w(&~yer4<{e@b8K9q2E;mvqH2A-?k>k
z2$4%#mBu!B65e7q9!K_G&bYcQ*WTgbgIh7!Qv5psv04gIu+%KYk33b2
zSc;zkY&SvJQYeDtEQKnuS_)NKmi)u8E0^@93#Og$Z$M+QC0%2ay%uRZR{O7BZK%cS
z)l!a@8}HNBY1r8p@`LC=&G^}@BfSJ#v|uuN@G};|c9Ybb(*4)mz`A(YUNyA3{%6rHxbgC|iX_g}%~DL;!RNBBi4~`Nq_kV
z>M%YcDx}BqJ?Jt&qCWE@>$EB$y@p>yDS0~|lbC_|ATxFX*o58RGUWx$@45Y(M}s4W
zhBcH(S47kO}XGmItpY64=FU{U0kV7C|WW)GH{
z1i#5swTJ}26=1sw!V;_ql9OOnVwGT3dT7`EF=lfgNl=xUr)gnrKJirc8Vnvdi5~~uc606de
zUA|k$oZ>=fH$e!@1=1+aTpZ{TiAZyCxfyifG!zpsA0-{0Xf-EV?K+IwaK}50(v!UZ
znQl#42kC4i2kUnBwc-8V;ot6vDP-6Y|m
zS&<~C)vCm*)vEL5+3Hm^>tQnAQX=Y4Cw3+*b}f
zzVcYA+PBkf{~FMB-u(Uy($%y1t?g=W7E4yrlR)=@666Tay;L7rgKM0*Ll`A=A#8rj
zhRv-h756$fz*8}t8~7lccVvXqxmrqlnqLp#5Q`CVsLx^)d2a5Z0AyL5euS+MH_NG?t;d$`l_oRj^*s-eG~B-WXsYeVpf|p93xFl
zy61Hcj}f>4xy@i`X3;RUF5H3ig^B*pJm~9w&p$$4YZU8`35azWK@?d$IWrxNN>UC$
zEE&lkb)cWf9L4%aPlt5(Ha3cNPe8*>5MD%31j#KTs1oZUf+{`8&S}NFPL~RxsR%Szy9?lBF@3%RucgtENv|zo5SA?3lM{t4W01`wx#^F-E4kvX5p9@<@Vx=&|QRCCkW&qAmBFr7X4
zAm9y8XLq5}&}{8<(50YB?Fdh5H=(86v`OX(EDwRnY^)-`440B8rXV7!Qp(h#^nvMH
zcKJ#dHLJC;Qh8`{yb56;Xv>sqH($*u)lZHFu7GoQB>stT?gn?I-6Iy37~^?4qIwF-
zZdfMR6A`aLwtziNxG#nUS)6R6WQdrcO4YiDpU$s66Yh&V=<7b*;ZWB);Xa>$SSQ?~
z$l}FDO}Mvuu*4}LPq?>us_O1;?1a0D1kjF+<_W?RZbgvXgj|oW_ciae*gt}&W#l8Gn*sl++PVmmf8J9q(rz`bO6Oq-uf)y<9T<%ZC3*G%+f4JjjgsTZa|Jllee
z6a8lhd_psmCN}sdW;3~>1I77b8NQLU%A4bF+SW=BDXT=|-7RlsNkj0)U!9jUQq@UL
z1%&4*Wz`D5IqJT&k)oVi+Bgcj(1)dscOdJ;(gst7rl>2CKp|V_7xOB^PfI-(Z#2B_G6|fwRdSlq0u)gMK$K
zx5S$FrL39z?fTC^V_Ea6TT8SY?B@Ox;x#CR2)?phqZpsy>M3$SNq6;4d6K?}E=MGY
z7#vn??cp9z=k=-fd!ep%?cr_$VqJR>MMc*he&xXuS;T7(KlfDC-Tv6Mhlh{=+S)^&
zAiVaV2$EZSP$ky22UWTzN&uARcjCSS8-XqA-dgvO1}!Kik-Eb}VB`fSk@`ASbtjQJ
zQ+f@hGDh(}AC5b(hksX#+mr+6^ewBl4xRb4BRMNm0>GMqdW
zs=JBATA_%P(+X8$)e2R5%te9npy<>I{sbf&+lkYK6&|wYbit`!@?^|c12l{miEuy)
zobrE4DC5mqPD79)N{w)f_O7$|(n@_2E;(Sekv|nlN%USC&~Y9!UxZZkjG0=9+hxL+
zJiFC`jhkbSm0LQr+CJQz8mrP-T*wxRvsT>PVYNngtWEwHWE8D8L`t6F(F&Zvg*>8i
zkjx*6NN(3Vzqi)9q=50xB*P5>WMB(%ou_Jq2426Pc^)CT5nu;t;I)JVm?^8CsnT-=
z6@;%_gy@P|oxXttJw-g@^z@A$;-j9jMxnSyX_Q-~`4(a6&`MX_{SgPQ$O($l9?K%y
zB0$%5x&q6^BHDfUM1d>xG&hTA;&jFI_!!+I92~OZI$a@w6<97aPFF~HYJp6yh!r?p
z@jIZcE|J}5T6&nu!|JPfjEt7u&jqN6a};T@e!4=vRSHd`z+zYs>fY^;rM{E|$sz={
z3xZMxq228C&$&GHSjz|cd@-|vb6{X~Ucs?aWX^+9jMEj0+g&dOPLa&5+57^8x({nM
zXCT!$9A*AaSE!!zeYU@14fUR`DDx80IcGQOXKq?sZH|pVJ~eU7;u#lRC~gHtA4WPA
z;U6fKOa20A0>j@W_$Ol5aX!yoWC?g7<2o;4AXSu^urQDc;x))NXEzB0nem{ndw5TS
zy4IzbDFR}hh>D_XhaLq>+U)Z+o~pX<8@nd+2Bd_xCX=TO&ps7p
zaam}tyo>!3?C`g-OA&S$7TW^o#nTX^SD%?08U6A50A!iDzeP%f
zThsZ7{#gDv_gJ8toa83JKYYO};>1N)W3<$R9=blb*t*zXPflEs2~iT`G(s}^Lk{3k
z6IbarDVeZLT#4q6=npIx6W6B#4aCHip5|uax^}YG-h#=RYLu<1`^;4Zd>myD_%PuV
zn6xImscHf&Z>u!{h1SfL`u0joMIfvxZEue8-M!P-Ej=)b0C)A<#QK#MB%D~k)bc?j
z)_Y0iVb*}@NpC7%0EP4(aHeMy-*;M?cj9}4AX{j3%ZF_6UC}KJKQ6lEA8oDl5Zxjg
z?>@3*)<$e1v{czI8#fkWsbq)vVe;cnTTfh9ap6-Sj~)PyXHp-^CM#zh37_z`eM)+1lxWE28;GuK26-{zmHKC);3^eU!vq9`c10ifQfV?J>_
zkcjc9Rmvr*Uk|W`t_5h-wo%scN~>0a*$-96z^Zj>39avNm9iy|K$l@nUtG&F&+b}x$V(r
zbs5I{jn?71)~!ixxLw*&hx6MI@&gHRt0=NC1*mU>`(M>^4ZfUc;++{X(8q}C$xM?u
zvMKXc$tf*nls&A_w;X;0GGg6~If{T-H)BMRcMrx(OF6RnE1Lb=;OQTV8b{Qw_f*xF
zQe$^-P6OC(Qu6MNB4uv(MwM81Z&d02IWbLLvyP<@3>AK>8!Cfaoi*zxX4aD!uYayj
zPo7I`O5O&EWLLdt_UhU4=%S>C&_$3%Ec3QmI8sjD1JDKi_nMeFmN1*GWzEO+Pzky=
zY=NLxHFy4X4kyopPdiImwGkY8W;=^SL$>Af9hFvN_EpIzpvlD4k>pc|tH0YQg(Luj
z$zmkeVHYgW_%gK>R13_FX-)3G=B?76+<(n={jexXb2?XM8|$;_%FA4LzY3iP+#)!_
z!%Czf$73H(Ro(H}Pn7YLWr)Hqy#OyFA}f!E8jN(K4cCOiohW#{HkoLwZZ*1UeUF7)
z{Z`~8L;E%l`flsM!If_zAXY;wiVW3-b}_5h_w>L|&t~`Eda%^Y;MJ7KjZ&)&
zkE;74!GzG9q^qUytg!Dt==O@;3c(g)IRUX+2vOv<5R0g@Qi1rF;u+bpl^#qr6*|&W
zwTMKQ0k)ecY$X&?auTgdtP-tC%P7%7Y*&Qpgnt8ajxEK>`7#e-Bjx-g+;7MVI=zEA
zN}QN`w=SOJLEX($7W8Kk5UZezqJ9Yaqz6+?&?h`qiwOD@z;+Xb1ziy(C+MogD(I?o
zB?@`~+fy+Q{Q`s>TZt3$%RNMm6!KGG?;tDV;Ob4*+jOs8oS1tyBHr&o-OW!H^7j%D
ztB{MLehB$zJeX=i{!gB&MTGpb0NYIz7IH4rcEc>Su5UcEqqJGH!Gd-AU
zvVWPUY7yDL0${s|!m_W3l9PQ^VwHVWdMe6(uVRquLLo4q8;DPwZal?9{z%<8g?5Iu
zTRcyPJ+U^>W&(*bJO)_?XyOXn5IA!!)yK!1TU9pL%;g#Z+suFELEp`NR*BaV5UWav
zBCkp;^xe7p9uJ?u_}ZrEeA6`mHzN=K-96NI8lGK
zhp;(Ocdq})yaEFOOF(@50Jj$dgUOdr)xMo6c`%^sya)OK($%vEs$~`+i`AGK--=gy
zk7#P%#%xYIYN-B|ZQEc>+);0jrmNeKI!`QcgW45>k%~_tFd$KX%t%!C^Tr@4v`g?v
z09l#$NY*~{KJw_vz~O#>lx5(tP&GmZ7RV)Oi=71aQn6wat?8}v;8MWGiROZg+!_xS
zlFh69_2hXGq+FlbEOUjhS15m)1id@}MP}}1s2aiCvqg}PN*%HphHX&Z5{%&Mc6FwZ
zW>z;~B_u#4tYfDtJ*h_;E0O5*3IVJjVi7m4);y%eah0tg
z%3hRuxQAfQ10utTqK;F^m@uUZmg7{kk?1&1h2`Qn)veGmah!^toX4r$ed07FcYhD&
zffUb`Jcy5YipKn~oIG$p?Duo1fDx0BtX>Au0az@s`)7q6J>{_b_&1=1K@pTUdbtdy
z5Iee~hht<#>B`yB74YvU__q@Nm9L!bEP;LN7UT_^y%H+i)-f{rbPml#Z)jE|b9{>$
zr=E7EW6vk4MrxSZXb56Qs?A~8V(0W`s#ru?sh^^@ffCa9|FHKZaB>~R-L_>(_WF?J
zLpI*E{VX4vl~=37HnxTD6WK`kN^mU8((LX?J5Rei>zQ3kYjc=zIy?swL^#Y53?zi(
z!$6Xca9;sJ!fmcV0yq#14w!HT$njNGSNH3FuU~h+nb}#94}O4VUtiVL)z$y5s_q{D
zq}lb#_-EvY_*1|_)WDVT^hT4u+TPI`-9M>Z!1^aO9cjt?GFA{2pr_wv@{lUE;LLeM
z@*-KL7%BKF-FLa~CI|ji^+iaUiLWZ-KOO&>A;ppp-vzCd@*(~XRzt(3Zd+EP1FF>!
zLz94?x(SGvKx}Zl6#maj#xD!Vh}*qKtS60cSKT#FHb>7OL05Df%zLG`hH
z)Jrpl2vut=f{#)T<$`NJ4gGF6xORL={2UB5LitBL^l5l;bRnlH#gBfD2hw|k$oZF7
z;nuZ{Q9($V;=51?^hnKBs7ZE^NLN6dmU0bgTu1r|1mbb0n6uhIz{&dd+BHMkPRAyM
zMKBvWT1bCNt#F}371=vH%7wPAwA5fM21`IjLHF*9=P(HEQ2J{UZjRd*uY;oHL)(sp
zQX>2lB~OI5g?At41z9ro17SrG$*$cx>u^@VJHGMdkdJT3S%E)ct$-z|uC(szD<;ru
zjxl0t-C=8*3{8)OLQxy*GDVcCjIYDi;kgwiLIML*UE6x_S)7(9(F{#{V1kxRv6#`0
zoY24qrQXeg6%mAasOq{Ig((ov4j@?|o+|#Ld)eq$0pf`T#klmhi+WbdsO_jiF`H=K
zRMV1{M|j5Ic=L;j^e#j~48@A^NYW?Ut>kZ7TOuft%d-4ajWFqiyMl*TuEP(3P~53X
zCH1mkO$EApV4BJ&yU4eybqql6Rm7JEAZf?r=VLV{07(u>X%(tE{a~{FrEVGmFo=zk
zwlPRlghAvWr0C=2KzSkhNQug!k2|1Tr|1LQmgu9Wa!1On#bf4$8!Iw!L!7h-1{3e&
zcBIBN!Nf8NCiGfOsPGA_K*-+`kt+iPK8bwHT;^2{2z<;^gRay~2{C}cLr}Cl5O^1q
z5WGBeh66ZvLQHros&bgU2nz=z
zI__%Gj|NA0@F)))HWMd__+T2G;DO_3kfAyw{B3-02T<(1wxJYU{22DHKmGxCQ_8Uy
zIrMfdp*gJ$MY~J?pga+gJJO{_RNZTHasdJu7IkERfFw>b&|#QJPLqvsRTVn2H54_b
zwvS*4LbW+35rWz;Crf0rtStCXHIjr7mPbNbB^Bl{hFm>!gsLH#?ipH8EX5@{K3qTV
zdvu;RVxwo?x3ZYBQHptAjFx~#T#?OWS_QhC)v(U{8BVtp&=qRta*v3zoAe&0jkSg9
zTryfo^de>tF0~Nk?7@YW0^S~&=-!r{k2a?=6rTbOb#}Bl9PT8`GV`kVSaV8Y4*MJe
z6t|0gVp{LW__7l@EQ~MA1kz!B$PZdh;^)DxTkaHL^1`%^=l_kDy+~FDP3R+u%QHKj
zW|7nZNj#M5%E{XEX$EpM*4DGP(V41ShN9maif)Cg>l>n<5gX)ev`ISa
zizfGrJssAaKvR%6#VyDR_C&pqDuE^riYgg+CXx);$Af8{ISM#5@kS4&NDrSxeS;^f
zj^WClM12!7LAysZ&lHX~;hyW=jQ{kIG!$-YhEpH%5UuqujH&V4wbstgwD!61);{gY
zs&g}bA7n0ZPz_0Jo11^9^>16Ie~);G&T$i@Hy0SB&2%}=!?C1Lpibz%#;
zgQa+df$mWFMiS6%KIC~XWpy9&yk1*VwFtOPQ}754si8gNa1bBjWU4Am2EFKbzXV|U
z+So2S>5sqpq6x+(pU{s~8Vfh?^^9+dbA;iJJJqeC-QvU=YdKY7)mS3QtFgTCajQLa
zY7)50leLo>HUxFMS;G2Cu_QMQREl*PsML)eh=m&Bq?1};${;o6rp%EZ=HoaSQ^q+9
zWenYO112Iz5Fn87?7HLE!GwX{HN~9uzRk1r#@ftmb4p!+r~X!arl~X?&~-*TlgL*O
z+R-fgPq?``3!$)LPcH*yQ8n-x&t2kTkosuU8m~^*hN9X;s}@~dh5uKk{*LNU9feT5
zPDtsGpP7*;bI+Iohopp`9>7)}dt_^u$G&6?-D?7fWf^!Saw1#?QVnTQrl5L7x*8~w
z$iMVZ(}5=B_JVZbgB~*Ea{E?)J{c#3%qun0ZZ*SkLJd#|y1H`;r*uupO_mx^Uor6Z$FAbQVSo{Y+6u
zzjD-dB~IuJxv{HWm%S}mu56wnTFMMcgfO6AAf`Ex5
zcv7NrcBI8nu3bBljNrkxQ59nZPp<`#%vDQy*t~AEbs0BW#&*7o?@3c`^k4_u4NQTw
zXd6pyGAJEvVeOf&x7)C4VNI8AnZm2uGQ02FabPlLv~o_lTP-!{Sj!YS0~U-!(eh5Y
zCqXG;+(M};fAQ492p|r>2USoc&Rvj?J$760XVznP%;suyH{JXw!FuXxv!*Ha6+a8>
z1DMR!N5i|&CES*VNiaZC0l0pRZ)}uE^tzkC^_kJ
zm7STdt$W_GH#mnh#9Q`SRYTJ1B|uP&T@Z)ad!g4^?dNniy~|QSS9TeP*8)zSYIiYK7@y`&`>$W!hFlNny8*YlAka(dmXsH0yw>bm0eQf?i{x>`#Fe_YlDo>oN)D=yvpRx5JgU#;v;GC%Ycz+0&n|>`~z4)kRH|j
zYOhhH_5=2Gd`9i14yUQT3yfZDA)XS-W1zL+N$7&HF+5Z!;wlBN+>R
zcMi%whD`_;T=+?GQ}q8Ghp!`7+z%`@=!n-8OarX^8j6;8#eD-x37Z+pUIz!|_XBZ7
zA@Lv}a?l-d25L8w@NYp8Tr-TL@*m@r0{98_W)^dqM=;2)*v&4NM4<F(nmZ)Vx>#D1_@EbK)$PRxy#z<6BT({3
zmKyY>#gsb(l)MItmIo!zf>HvMplG!bAGB~%h%yj@LEaAec=dh`{>);KJ19s<1qi_z
zAGi+}Ux+O}@6*?qnwX3BG@84`kwsy{gqyOlC_P6Dm+3a^)u~;0k9HNVm!GN4G^^va
zv1Vf`4MAFfmX#8Y-;KQJkKe^Cku%9>5*=8Wb&&LqHhk?yIj#3bIZ2$6hB}?;K{qNa
z$1ny-VkKi;@lI!DS5dCAdqGcMcMfw%(9>5`4dt(uQwYan)>8Qj_#q;sdwx~GPoV2r
zz3z+~ddyNlSL2z;r$;IKd`3PUc4o;QEVUHy_Q2fP*s^ovQz}dG_ff16RQ3S6CC3-Z
zmAS5JcrK+hhv&Wkl(&oL2tUG>c5o!k_X?;cx=(d2sks;vrh=Ul>!J;ZLs&Z|&uttU5R2=R@WW!ko
zP7l#JZi4jY;y#pITjM@d>b!+NVGFv=u6U(^?ojyCQv$lpu^cy3*5ADFr*C??=$@Rc
zvA#}~ST&YN@@lL!HUMg|g+KkwL#HNzKlWtpWQP3$>UOh)^_5~tZW^c*>oicQodhna
z4O*vH1|T)%rp#A8%*Syuri^nI%J8Qf0&3+58Uzxa9lZ>Hx`?uNE&S;TtMd3*$FJCR
zMmy(2Rv+5YB4;ix3V$lJE?933=(L(ttU9d;Yz9w47L@Ryz!k*-{AD3P{&raiN`_Iz
z0mQN}>_Sd>psywjsj9SS)dKDL3=cIOs6l+TE
z+6bBD~by6HYq%m2=XOX{byXl{B~mdCCc6GQ%52
z^#P=b!l*u|sH0yw>bep}rQC;`rrLKO%Cg;XAIiGgbsv5exE3Z>y8G~ps#Finrn0Nu
zx=-K{)rs=%!;}H>cd?ox_hCwN#(k&~)CxxK!=Jlp3UD9VDC>a@D*g|kywKc~5|uMI
zeHO~KYi^Q3PuMmpY7Bbno#RFgA$wsy&ttc6?!$qKIhl>sxU=g8R$VeH{MGx({cI
z+=o+*8J7$3$z5?FE>P=A8OK|YC$J@8)<|#H{^Ul?j=VOE^XEpCjr!e)GN;{*D2bJf
z4RRx9s_dQ{aoRb|A#TJ8RYMQmh#7t?kQ?!N(Dkf-ce)XuWhtPm^Nbtu8I*lK-H5NT
z5ajH^{gwjW9+*2DTXuFMrm_@29UAJr8!;z}lu8ap|CcXxNQ-uqUgIB+I%H4~4qjOkuM;_dM8*7=Su}vi|0|5obIj>z5mB=EVO
ztewoT7eL)^mhcQyEXhp+m13O+Ds{hbBO*2Brp%;=`MD|MoQ2Yj_?>`>$Q~pF5}uvC
zbR&LF%-L?;JpP%0t~1*C2jr^
z_@4rJ%>seE?y^9XbSeIK0I@6>zeY}k3r4CoEgH5!lOD6$jr=-Lj~16=Ap}|GAw#ag
zhx_wMmm)H+)JVH^54#jU4O&9ifllF+E=9TXQe$axDH6DIxD+v6IPIf_;~%(b3UD#nC~MorSSfk{I6Fw`L%<32pwJ|h5|=YcjX}9~
zO;Xa;h;5?+M_1#1A*W;x+sR|Spxyoc?tTr*Yiv3JO(Vp@8=y=~)y;&QjMH15MJL^yd
zzE?(>hiBJqZB5rk;p0$rXJc<|Vp}v>h4YGg)gwi3ofnE9zUO5+%@5!6@-9)WrbhfQ
z@*lPnJPdOFIT0I<;eMo}G!bgoJ-JS>c`*0hadyc|y_08T4moCX4pWsG*d$4nY<4*(
zPqNp@@+)4@8&4lTUd-(Y9ms#Fai#_O;IqVBldYSB9O8^TK-G{uZ^5yYb^&qv@{YF@(ASHMH}aUk?1ur}Fk{o9h>wPn
zo%!<0W2Iz;T|A2~Mo$UO;iq4N_GuSC#k4lk#pstI2ic`3ctRNFztj?AIT={dY(|g2
zsU}v6dUl~npQWc&02d`(9Y*09@)@-Tv|C(>S^Q)i$o_aU{!=1cd|-c?jKuP5xd#9n
zU!%S8$&NR#^|0^yYO@M2XVjYN=|cUJVi;+)5ghdlu+yg*A|*BzZAY>Oc)k>POf`A9
zmefdYO%Rx1Gr@>x&6P)9vb;
zAa9BmvDfTsXi+6rSA$40z&4MO?lnxZ50+^hkmS3vnB$dr`h=9ToAF*xRvlxPb))_v
zvP(OSnP(rnB^3K|ZV8oQbxWw!(}M&=F)0bl4|)Py(Dj6Aj>^md^3F|r7>c}S8!*ll
z50;lsf!hLVWy_#c3=)DkNtTvDsle6LwO9sU3p6AS%OIu;+uIlL7u^U(zjC%W!f0hI
zgL01y**d$>$$`A_sc>;)m%GwxZ3+5
ztXYn`Tz>=%Mngf{ce(xwD+pShbt~jARH3T?VsEodDve1n;CMGF0oF$wL2X+fOW*B^{WUE}sEj!rE+s98o&O!m
zwTqpl?Gf9C*2wm_e@G{x$e;3@@fsiJ{f^fQGs0ycrtaMFdJQ%qHt+4;@wy4B$Rgo#
zCeEuYHR$u#6i^+0#Wz9G@+Qvnpp*cuD1#l`@wy+0EeeYVIgu5#2Km?udIA2-T0z$p
z-Svvw(`tP}nL)Gny_PSiRB1egl=R0FOpwHBrm0953Dg^44~&0;lU3aLn)b$oL78F_
z-pOeWm8gZlEEsg>>$8Alf$*MruX0r_3knYK2Fq78LQ4zhoXsEb!V%7SM8$p>jv2*_{G6z?t2=*o5jhJ(TQrS
z70E4{{8J4!t(&h39%;FFKLqmea#bp6W>DYoL}Ro%v38<9vUYlIX1p@TlJaR
zn(6B3?&_{uYi(<^K0UXVIkR^6*bFc+?^?x7!<=cDGfDOlSm+qOyhZgw@ZFShH+)Gs
z5Wg9#G2u(HL{iE=DgM*s{kz@m2VfQ(73Ots%X5Mvkd
zS$5z>vKjbg*8g)`{pUjAs@`M7c@QvzYM1NZsMmkc`gO7a{Aspu@EQyIug?Dc!v&Wuh=Tjh~EqE84bi
zd?ozvbok$y@W0BoeFQXwMQvYlQtH>YsFBo}|6X9eiC3_{45(9za)5dtlbD_~987>U6Xo00P?EplEC+Foj@
z!H}^f&Dzef#^}Cy4g}MHwp*ZRd1$)S?k&S>|VE2HTKd~0!_
z!f16W8mUDxHlkUbu8+ap%E;encA9(-%zPLG!Tc6hRGpd=6)At!LX(k>>|Qalca|O5
zcos{XbloBliC2YETAm0%p6$BtT6xALl3sf
zZYi$%CAmQ}T1yVxBGn!IGUeyv;f;ONlT}}-%KE_m4(fLEnSEduW+n#?sqPJBy7x^F
z&28}VI@Q>9na2J-ys;m8vg*8yzYdv893=b+WN(|72MwxSI{q|;<Mp@w&=hvy&sWCIT5=)!^X>irgf`
zQ=Qn=Xx3-OC!^M$`poD!;Hk!)kbS1nH`1I1(-R=m(b{knJ+TULowOcKH^3%Uzq4iy
z%}5Ofyj-Lo)KC!+xX~l=Zi(epYztLlUByI_v7ZuqWpk-n1Wc1NnSPs8?($Hn>Ekg^
z)=s8y9qM*7gqIucwZ3*I2Mwhv5`LN;e1?Z=t%HFaJw!^NWNZ4tZ2CpvP2cCq+6iy}
zxEyb7>QRZIRXwWI+fhBv<8)N)P3F5LP<+^{a*FRd&miU$pHr90)4DGUP^TQ2gBuFZ
zu3ZM^JX>g9Z@k@-8>{seSOi(w$v@RdkgEGqK*xE{^9AIpXU~(y+1+v|SP5^0NXq(T
zjUr6sCT6m_w>~*L3HyxE*=7q5uuaq_>#$!DTj1K>(OPW`jtHRHVFKgrXs^;2!GB=)
z+yZsKX(ucXu!k9k;ON>EMDN#Nk$`ofJ~i5`Ra@}r5XkbK)rnbQyTHHXLPXWTBS#_*
zF@h$HLRp$d<~DAmBJ_Vq!o?R~j0X_F>Ke7?TE=Jidl)EGbx^k|>({}5*o$M+_{RR~
zaGhat;LMNa@cl4g_;@{f)RVP@o_fVHwxzN4HvSRR9kd2~mxus8Wz|M1bq=-Bf(S~w
z1SJbd1n4m2g|5TK4^5WM)MqAY+rgq)Yu2VlYx`cjPx&kQc1RK5A?2nB-7H^g)@=I6
zvIdW3nA<|mie&GCO(r!57LW!DPn>H4;p=aE<{&OJyda>qEwvyxTaP(XQ`*y{nROgY
z;H_G%I?-zA(sbTNu-9+gF)I9y&3Z)Ry8R};4uuy?L-GAuIrSCP&{FPVI_+syydKJBErGgYV#)N}
z8sN}ABMc4)?-kGvNXBMMd3|D;9xOxi-U>xEx5OfB#%8eCQ*BP|yElFpG#HzfG~tv`
zJwvj@nL=q;T@Dm(@=%DS{s}uXpqILeO2t3axG6R+>AIhs9zL8f07vI@r($D~
z8AriCN&y}srBSLs>8n@Df=2e~0sUr`Ct3j-`!oSpwHaR(P0mS35jAYwJ{pQN18Dhy
z5GcWTXYKKqbHjCcKm(r_4O|?M^+L!4Wao6qp&-t)BhC7#u0j@XA$K%`PyS1BFMg+}
z>+SeYP}nUB~LfipTUd(0JqjuC+fSVfRORIX^4{s-zYtk
zIUHSu#j%t)WrAl``?w5I*qWZGLp4YPJCoRSG6KkV46oYVGhTyKFq4ee>P>J1G@4^T
z-%PEqIsu&(T|g4BKf3@h!+{+9IE82!9_pk{0+Eq;3v?DRxB%0``(AS30l-@Lj~Lb8
zGJ3ukoz9aF36cLmnR%k?nHAcE)h9{viYsTE=naB+!`4i5mQG0zkyw#z;A^cUYBQLL
zM2ud89Yv`IR}o12c&%?`YoZRqwJVyek5QhLQFC?zCV?>G!RBlh(|p_ymjy9E;ESg?E7+bV>|eUqu?ez^UA<&CE9G
zNE^N13&DJ_Wd;K)us&+xXvmG%SiJ>WX%wCS#tnC^k4AWKINBsO>j)ar2gxMCphF#?
zH(IkJSPn0#iFQ??QuuFe=gvBuw4WNC8|uT2y&xU-@685S13(4kyP?G3|7#wkGWJhG
z#=h3Bj73E<_IFpOmKHG9OrcGt6;(E@!v&%`0V~89L?WOiW>8Mu+FrOg0Z-LJ4luko
zXQ%pFu$;jS3m~R5AY(hLEw!wWtsc!eXsdrB1TU-^lg)sHWMfMDggBuy8&+^bm>OX1
zi9ljT;Q9v?Do`EM;09<$5P6FGVI?vDi+Yrf|D$63zt`^gpHVda-%~nsCsg4l}6ow)o2;h`4kpfv@SQsOL$qrfo9RqqFfEWxaTIs+KGy;Mm
z6$89AF1qFrs0qHVW{h+N?u4R3Ia$_9&1+tYEO#kkt^y5<(upLS;xp==x-)yBY@Cgr2z0wd)DF
zvSWp+A$Rbw2a)=D*5_~QSe9WPZObcW$oFE(BkVRtthbf`IFSD`dAJ@pkTuabqrBHx
z3g|YOOfd8yWjE_q;WBcDs$Ul>VYay6MmV5RxRy1
z3Ed{R6B;t#u+{GhndkbAkoiS01*u=aYWi*V;c2!u+6bB#O&6P5ta9SdewYZFPbY3%
z0fIZb;3Y66Zi5?FQ1v6f;e?y1X7oOT^MMBPh207~}~>B70)n
zS6@Mvn(@XS*seejEW$|GlulRcO$fpju0(*GlMovzWu{CKC0g-2kfQ$hK_*NZ&YeyZ
z+<@;VdYQQTR>jrSPJ0V@kq;0|L@cGb{)vT^z3YeeZWuIK$y>a=>!Yz|brmgyEo(*^uw&tk0^KGD`_UQL
z%);(u0$sth`&}sr!^TF@+=c|=j)&}Med1kOu%9VdD&(jF%4h35vMp82^Vu=(9f;ebn;B+(}n30&GP
zL9(y4(T~3{MHVbgR-r|6lVNzaiY=556kMpUwCE~*mb}&^dcT}!dD$#pUvUw^lgjT$
zX%>eDQgzpZLj%7G5F8Gm`2~_VAeTFs3tf5I=VH>cQH6I+buj0m(N4u!ie$1Of~f`-
zw+yyKJT}=R*?W;Z1BaIwkScixtb)E|Pn-HhVUNyVsK^s`E_2Gpq3({6@k&L;_q
zM@dk2P|#Sv?!NO))BgBK4?B_b9ASJIWpzgwC(Wp`bD{xZ!(hW~Ow|n2qBsr%HXzE;
zQZu4i9jn7Z7nluz5yoc0z+D9hfQ~;vjKk4pI1W>XD`q3iS0_7U3orx39}DYNA6O;9
z=K&eSq-s_nD7jUguudh%?r_w@3b$nN6xvReSf`Lk@=l?}#2qB2oXG{wOvA+nd^53`dm@=&gIGLW;U
zcmz^XP~9k!*fdb;4A(X8gaNR?RCoJi`1n){)LQcVLq>dD&4#QG7`?PdzAIqtck
z=9~vAmTYi?Hm!q!Ts_hhBdO7{pVb_r<>dHqGLH3R?S#*dgSzL3&ucwYm*;bOPK5)i
z(hnwYFAZ<{B2U&%czby{-r5!iHRY{~gGxQgt*aDw5>G}@&sb+U_568{8px?^kpzp9NWc``*+rncU4M
z()rMP#xgk^VPGNne*yDT`~lhwryvRd&J}`RxHSWoKnm}xqD^ypu8&S0QaBSFf(Lsc
z9w7wCyCiX@I5c41OL74yBgqRRvy;rEddsGI42Ake){8m0fNZ01qHFov!&z<
zcpnKMmS@ceQ7}B#B5l^30CJ97ob_*6%U0StO}yJpe6Sq
zq5>$i?bJk~y+_OQ{a0d5dh3Vt*gs3-C3@=@_0M@|N1e-}j?z;~)Sa!%<0I0tD!pLt
zLeGT_JWNpO(^JB1x#;^6Sn^yKePg<~2J+Oi;TK&4NxyQ}KvLWXU-aGf6_BghVOpPp
z@NWvnF7e1-wrpWwO7hg+U$Qu?y2OvxIl^MrXL|xy*h296b_m}a62ZZERb>le!Z?h)
z&C4pE07DwKZnE!v951UpPnFs)_?W)gbEw8*5e}q%F_qD^st?wyDg&;HOt}zm!pic2
zIH!09jkohhgF9Fqra4rVp;Yts$V?(AY3+;Iza2nQ);s8oE4j^5KzAo*f-i2N>}HV8
zVxrwbx0V1j^Is;tdo9g7>7B6@C`s?ZIE5_arr&WHq)aBUFS4}lBsQ@WC`s&6p6M2P
zjU*sh{cTeHMhg*6s$Xv@;HA2FVUiNW@i^A`GtZY;CP!rzYjGq_N?$G#XFV{c3z0aV
zM*i}xmJ7WgQMAfAKoBkm)(he_#JlctIPuil7;U6G_crdJ`-kmU3lHNOE)GUx0LM};
zneN}xPq4CljR}w_$3U9NV7c~;sEYVsv1+j>VAOiiRmendN*w{$M{t}nFCyt@QV)SM
zslov!)S%BK$EnmGLs9Ki>SEE5&3B`pOZ^g*5{_RKGI1`|-)%&(d|>r#D8_eG
z;-Gi{EyV$7MZSWiNsye;TJpwnDR+QV)lzEe5$}sH$DAW!>aqBXU@HA8fT^*dwv*e+
z2U(Zk@qZsuJ=uC~`LHZn3{>x40HB&uMVD|paO$xc7F6nEd)tJf!!T^+q3CK=D%lS>
zl_F8P0Rn}BmTORa=?8OBzDRYTT^yRSAifYQ%j3{RFe(Bz7*I3)Yy>N-&p`B4G!8%Y7f0%3TBZ}yDK|%hT@PfpNSbMGl7|C6+BI53p>hiCJ>lx&}K#%hnU|7cE=#
zt7zF0)ONCLorzZk%mo}E?ziuIsd(|iwRZs)E+)yha&2UtCK#}HDB67y9H**Hw=P;o
zXO)K{dF*97JP}lDZXbd0<}r-+lgnJH_ZM@UVw&+^rsf}EX|gYJA?KBES2ZLH%vSRq
zt)Vi!qup!f2=jrwr!_XO{1LXU@XKW7955oQu$&v$SxW(3KV>$qcTjfIBeDpjgK0O(
z+%4?_2ky?0`A3#kon+o8+6_Gr{2E*R@C_DP?S&}Z!txthT)%N3_(0JsWb^tA{cp9^
z-^O8J(X6QobqWKxznG?_jsJ@vMUDXdHbv!QwmzJ0Lwmc-sg#!j^w+qu#~+Ur>Qy?jQPiiz0AwpX)cd
zFM5SDU_)jG9B-??4epC(JL0}NgPC27Y(sLaZRL`)#GYtQn{~F1y9REE3Iq?_#kTrg
z1IP6n0|$XuJ7uTnx7mj$+1hAh@I=!k2hX3Kt)A(k9!~=Udb6E7T!%iz`?-|1+ggAjuBj^yLiugNJEvrQxLhJe3Q>R`E63Q&8ZN1i;ws7r0)GJk4z9GW5xy
z;uj%Zic%=mmBX}G?TsqwGdd971oxN$mgZa0=&pm|NjgY)8C;Qx_g`s`m%#BD!qPH|
z*tpu=feHVQr`LK6;oXqedY1N0R0*sE`Lnbl$=H00;WM8b(H{%qO}G9@i4}RHKjNVo
zp&Or|{h%kSZX_;yg7$Bb9bX2ye7?8|InN$GE5kepKP&Tf57k-+1NnQLRhZ=TE=V=G
z{)2F$zVFGZb3OhFWVSi;3l3sF2H8t+9pTAf2A&9>L5lTshe{oAPBX=v#GMaxAl9hs
zz~V(t=)nH?&pix80pOF$ucxf;lggLu_CJD@f8r5Tiny-Ru2YIPaA%z7)}-#?<5PF1
zQYBWMB9gp1g#yf3nOK6&H+rblCfRwOtewd7g;2MfA*@BX*Wp^^Mi13m2Lm~p9{ggq
zrXSRFAPqel-t-Pn)=qd^E5}=#u25oV)fFmrH69aA53D#RlVVj;rWEKAY^|IgIoZS9
zl6vIBU^Iv-Qw@kr-vyT%-3eD-;{6Ai1H9r4SEOICo8!k51onj6JcWvZV^j2KP9L18
z+BFMr!o?%S{c{Ee4)nvM^8dZ1~7w|cU6G9BLm
zb-S6xs*X7luIfJFp<3%;Ah%P^=23ND4R88Oo~)hl_G{&MYg2VfM6Ie$rM_zap5IFH
zll`1fQ0U0hateK)M}$f$^e=SdPKM#W_2PL7cokxHa!q6Bn(9caF@cX{l1^_$E8)2d
zI5P`(L%}6_e6f4q23csfH4EDMs@YMv&%Xw@C#oFsf(V(B?}lHKJ}UuN?(F0TsZ=r2
zisls&@z>x87tiC|{iDmz?*dvqf-149cah{(?*UigoZ+EV({d|4SvyfRtDx>6HO@T`
zSK}9XsMb0d$kps+5G(}Q&q`^~a=9g(jO#pEJK^*7^Ty|$9;(apIe59;6W;WUCu=9X
zoh!#%+j6O(m-5R3l}2M9%&jL!Kn4ojc|Nh9Gr`V
z2U6gciMhrs-6A*Ez^8KH_BedPh2Blzt&w_WK|X#l6v2b2cv;1GZDJZXRQMO
z_hjvaw~v+Mt!=4MB5GY~RO&Z)XZF8Vhp4%e{IBmS><)2U%PnSa^oVh8F>`t%U4U>)zH9=MwWa_aS9&0+FWnpO|g9`mZ;Q*
zcMaoZ_)}2i;)vc{ltdd?1zs?s_uB>uIn<}d;O_bvKpOP$5^u`kMI{EJ{3<$8u>~pY
zgU(|wfMD3oi_q!RU#<0g2p<5PfmhlPnoK}-EyNF6y_?|iwmQ@X56#J^)yMGxN_?IR
z-&g{g;N1mTpsyl1z7rl|m>C@I>#LLBtF{Yj0Jf=-!#lg+TY4++L<4$APmeKxNx24Z
zebM;fTTjDLUD_gA@QQn%=nD)dKlBj)1a6&?7g>N=_$Nggodcl0%+i=l_nLwNT@GxJ3iH5vI&Emz@WKElvo3!DWi8U>
zA~oIxnItwyPG0Tgy(DVDl`BK<0|E51CRg-6DOKa0k8(;+a-D*yU8oiWUJx8SM^1(!
z&kJCOF-MAPkGDb~XL8``eYjElF5fGZ)8s53(tFXsC0;xMAB+UnKs6f1Yjrd5-z#x#pjbH~&0O`xA~!>NUfk
zdd={sUNiiu*9?E^HN&5J&G4q3UNiiu*9?E^HN&5J&G4sQGyJL7e70FL{HfOrf9f^E
zpL)&kr(QGssn>jtSu^~p*9?E^HN&5J&G4sQGyHkpwryfSr@>A@fmwduusI`SGGbP9{Xr0iq;LUKWF_p8`huw_-!CQTxSGAvHt9B
zx(KO?wypz0D)4ORP{fb-j<5KwkjvQwL!b{U{HYHs{HYHs{HY5JNak;ae18;jwR8}+
z`jKTBOqR0#-)Ee)l_yz$C{~>O;<3rMNb+^h@&FX9eCkw~xnx$vd4naBwVCn8n0Z}c
zyc%!5!Se{>GJ!+j*qpdbfPNKSCLj(hb#j@&deR!(N8lBK?ey+wz`X)zI_?$FYAU{B
z;8_cG#ehMb@3w)n^dom#$qFEWCcll&w-4m67dR@*SBbgv38w6>gpt=>FXqiUA(sxE
ztZGR1A4Z$^4;-CmA#b6KOY+LzGH?O(JPVVZ$M?^*6wnXeN$tSb99p^tz>8C!saLozQdmdu;W?0nEa4_*_2}OLr5V$I+i-Yom<=#iD6b
zotGVhcJD)YwXF}XgWa#70>KBn-(suZH4a=q6ideeZb4utY3@FRciZZ3V+=&ICC9*@
zoey=VN;6&u1o!4p_wfZQO!4{dl+4`u?h}CQE}ZZF77iDm?-rb(^U(dsl#uh?>#hc`
zEj%ASA)nht*DZK5rFA$0f9Ot;Rsk>QUJ;%J#;x)N)xsG+hSc@PKVTw*>;+`?JP}Kr
zL_Pd|+Qa!j@qOSE@++0DP_&qV|3iVIMNHt{Asc(UmS
zd4)y1A3h$Np4x}8wZ+@T4+6543L<+q(13>*dUV+LfEm_v;3rTeSsN+s21JrKlukeN
z&7|s|l(12q>pV2$`0+XLHJ+?`fLGab;2WTBH+wjEj(HFsJh#b1wbsEv{vKh7m|QM0
zUrjFG8cxJhJXv)v$5%n-66d~egY4~d8Q%D2amrs&(DYDUp36%_M2~Dz{%P{{S>esz
z1uoL8H%4#?YVW^PFDxxJh7hW}=
zZnWy@@m{t3@H5B~Ineqej_+ERo0@j$s+kdvFM5b}&vcI5{v1_eU2a5@cey#z?5Uiv
z+0SZ7NwB}?pl9F_r{END4Zh+};>`*oj`fxk
z@lSi$h#W5=;!jCWJvOE>?5{dOGVVU@5=A$SH)baw8+luo$z)?Io{eZqo*1(QEl(^
zgm{s7C#tJ@6N14Z4UT5<{t+`8H)}MbwNYg~>^<>*4RCXU5n)8O0Ga!$V`C6=4cc#H
zb^-#vxmvEnte2V+0qK3s2;!Y(wKg@Gc&_016A!=LN`W=yA5$e(O(~MRn$mKdiy^8d
zMF}Z^hBte9pedL)da`yh%ijuhyP3rrlsOWvK|kW5TI*mSw}Un4L*Y$-&Xcth-hQbZ
zZ*3Y>iKtbBs?^aQsDc!*Cp~En^f2~M*Tcs1b;QcC}W6c43{ia8c971{byODSgDn!!I(2rV}n6
zIGk1$WUlr@^s%XcG2?CA>}q;yzkK{Pp?Rl_q}5uPKPU?T{4-D@+m
z%_;njfpzFdK;S{A#1szEPMtye-r=;e+|8w0h4QeNu=rxly0tQURt(eCF)axyjDsA9
ztzOOjNkf2_@|RQuNxp9`CEpwpe7!1UXo*AU*aWaIZ6jIA9Nh;KG%dyx^e8%;iCJzZ4G`vBvcVjiiO
zzX~9hPbj|w1teT+uMmn@JK#!(X~~*dv21Dp$sCM1Qn@AqKj|T`18mIg1?@aOMr0t3
zcxEL-qe!&(=}0vPME6bhe{&vtmuFmBMCOhY
zEZ)+9pnhpR=f4#DtFi1gSE
zJR>8As;$E&6+yt6We6yik$#}zF$gAB2VUOO=Ft*3Um}i{u*Hl{6pU`)YCB5eI)fsL
zYe!8qX`!^rRtRgy^9kz*`?kWFmi2hF02~YJ&xP%eaD)Cv_d$soEj8!BFlQI;_}4IC
zuCQ<^UrG;McdDTZ&bomfwU~qrOdZZPNkxE0Ot6E(#78fd*xziFJS|m5^&!4eNbBWg
zq*b3TrhZiQ1kaPkG^bz|S~usAA%
zHs6ss5yFnAZ@3|@b(_kk$TA8rb=hx3WP^#sl9ScuuKHA~0!MOS$_&GV!O4v&t?|Yl
zeoPe(+x(W1+GqfC%QI35JWbl`yEAErd!sunC>bV)WjLVGvl9;9}+$Z
zDNebG=}e?GKqbN<3hz0JWtl!n?V0;-3d}uD^%!!B;;E{J>m>9ef;*vyD!yo|-xbWy^@Ei-MXa7f75`#uqm6)m(X^>o%Z@?2
zhbsQl)(4kR|3|rT=)1&%GF{`q^&8{hI8i~-P0M%VMQ*jB77N4mQjGz+-bI6mB
zGZp8gXDX_2zZ_Zz1ipnU_0ZIy&Q_q$1a8o!D{$pX*}T&!uysfwkN9Yf}0UrGt#qVJm?pI81D8kK(|p|19`0nI`&W{07~*v^CHP&i8UYg
zTbAj+oDjM1O4ezw@gfiPs5$s($9C`cL{c~A#Gr>#ZBCr&$=b=BI1B1_Glk~__dGmc@-h$AS_cEU8XPcrV|dd~
z_GImZw>OvLEeKpr-zZVE>Km1MayI1LoOG#^Iq~HL&4RV+nkCM}?@XuhJJV^+1Z(zW
ziU!5+WZMHi^gFaf+N3+1tta=xW=vTPSM1o4*Engs;L-WSv}x+?AC&4XhhAEGYYQ06
zX7huXBY_&u^rO;2
z`fy=8T+}Xt^yy_ySckB8cu~E;VDR)Lyb~kd{Isn(zWDvOd3f*Eu)OTNnJTd^J0htY
z%g#qVlxkY}L!PXisK$>$-EOAvvco+OUv|Fkp<3%;AXkHzogaiZ{e4f?PI&uRIo{fq
z9VLp^Wk;os^+FY-N;m0Ed$4d|4~-?zSU8S=NPVfF()Hp{^)02CmWiV;Gb?j1io8r@
zDS%ND(fM7`g(-zyt<}r9Wq8H`qwq-$r@T8%`oShkGq35AQ1YA-3yW9f$2Q!c)?kvJYX;tu*u|T
zKD0~veC2$=;8x1owF3qdFls)i#G$Hn9AJ;}R14R;OGcQ$0fVa{;G|X^9gk`gwMl#_
zPQA0TwZ4sl@9>#Bw3A{qGo4Go1T?SriHO(S(F1%OCJp(6C>Aop(!IVCwzPXf;F+Z)
znNJ8jEmH`z)CxKskn6iP^^U`{0{ILe#M$c1qdiCM*r9VU)gFiIpVNkDg6_*u7^Hl&
zbU?S3WdC
zCmy`JOFXdcwz326RCQ!Bz6+@FsSwt4s6x7|=Zr9Xe`x-<0*GaO_s_`XaD8`#R8%4)
z9Z9k5QeggMGOAULhW6(k`Z_?v*@lBQ9Y6Na14|GISmJT1p641QUnk_j7{_Gr{l`5k6dLXzr
z;aNxLb#(D{w<(3W(5wr9;x2?{eGf;9L$d@EC}8Lb$d8cFth0(kv+8v3ZB<1Uh;1MM
zu2N;x>J$G0Y3h%E#-vGLVJ<-W3>8>tU_V%8h^IeJc{=|=SbbOImz)f53;{VTLY|4rAj~?^8r>O$+BB81FW)l
z74mK;`&mgaZ744A(2lk(4zGH=C#$~qC>vh&1gP81CiZeDHsu_^D#dDvSE9=^YcEa1Y
zm*Xu6TuzS&&OnM)kEm2%c!*N7A%P@VtFBo}1d=?IDeA-@G5b}r?Llw56iAY-*)&Xd
z97yurQoUslVU{Kwbxq^To2Rnb{OWx-P?OzAXHiWF_5RyH61XHw+P!>%B!^$==Dl0P
z^0IRXRRZ#m2VEkm8_UkA9!fQ>e6lBNC#vx@sN2mHUUs1#Y$JK^n<%JCKz&|t=CqeRiV?5Nb<1a_p0S8v(_aE(1QmcUK|NgA2T+>0VF6Ilvi
zlzt-uNwRdCOKuy1B){J!?iB=*j~I
zPh--t%u0PIhHFXi!KwFhcSHiFKX3h$R}z+>L7TOtVW0A
z9b_g*b3R`fJocS^_7w
zzygyv0w*wC1WwFA$3)-+{YnETUUJ|8a8U;Qhk#>$d=5TBHPB%M#d#1C(QMVW%TxT@
z;ohxgeQ!W8#gILi!d_noaTOP^&(2kXs7c_U-a{On$9LKoxu-(YAK+DyUayD
zucYi|l*Zw@&$xgHtYVwe!T_>TR73>QQHF?-p
zzbnLn>o-CiJfS8(vbE7hn1g7#SkYSr$)BCW9MZWS-wy=$Cd}a^r^+mjcu0xOMLawk
zi0?wg!|^acxY&Oh)=I$-^3FdOSrZcR5M9xjgga?#a1pIgV=BM_RsdYMq%QYoR8u!T
z1Be1tdK&&y>XMoLN_!I{BkqH7LFg`K8tnD5?1GCXX79LnIFwje3OT2
zH*47&_GeUyRpLaFSK_j%y2Hd&qM0jz#Q;REbr@M3Ps;0^)p@T;pF!IHqlp
zCu=7HbqLh$W(o@w_dML;da{RVZN>z0HQ3?0HoWN}Pu5O&yS^N6LEv(eRf(c?vWisy
zWPQ{#D{_<7S*3L8+#FCV8+Q>41zPq0h8oSwEOv|ffH3LD=bEz>TF#cf=
zWgVzYqt&2g>HQvJV1CoszsH|Xx+svHrN-VVdD2B8x2e+f?=HkH3Ta?bqib}5B#TEUs;$<(nrRu(i9A8wSgi8cXY9q{lnscuom=vbw+5S2H
z5SU1gSEZ628PCN{qW{;=t%Yl@TWg1h*D4y0_vj|8)FkhB(Roe%I)4Jc!j0MZZ!MEoMT+
zJ4O7L+4}kJ*5f7M(u8CjuE0Sy#f0(`5
z0=>yvt(<;?YpFmS>NmK}R=>+{!1Wt`gTu7hAvqJL(oK^IU{Fbu5rmryi;7l(J!6QOd^wppk4RGU-#?v3AtBmOcdC2Yee
zck#QCR@phEi|hwI6b2lmEDX^ZfYJ$14a6UVeBeSj5XSWt_><&Ela=8cU1yuT4%3^m2zn(Y
zk$#&@J$#d&scdvS)RR@$9A*6|M?&3hhOp65F(hXgQz=%%m`YuqA6>P0}C#$TRjh!faPSQS~UNm}8s29#HG6;VhD-zog0-Z}(!J$HQg3+ehFz*|BPK
zZo9h5-4a$t5ITa%Jl+_CUDH_^kWb0O_S!O=DXCNx@s5|_Dz17fL^x3`cULLqUr|Jh
zSdEL4m9UUb+75E7i-xJ1Lt@Cbsv43#^Su)*WPd(ltS@C9X%92tDwk@6TV+$xcBEBj
za_~-zR&nk`nwA3kGLV7iQ-RqTo~OeRPvXcBXXY86Cj%}aE{^g^Y0Uxm-v!#+1@45{
z1$KWWGLNHt1Um>F-GZD6LD$2Vjg7$z(~(pl_+F5B3nCI=7q915%dCn!DO*fQRQx8S
ztUrDu6DT!^IW2W*5gL17A?F^k^bILX^Vgbm8A!bk+6n|x??$o)cq;gTR5hLE0H+K?
z+OU)XB?7~j^RjY<6beFL@~b8*;tqGv*R?Sl6w{Rp@1^ulN;*hmf8Nu19fiCe@}?UZ
zT(lXMeVQt7pV`OB**M(
zkXl~Ne~T^uKY<3oyRJZS(og%lYAE=(0
znThFIY*f?%Mm@8j%8JoI9-%JJ^+u`yONtU<(sI`Tw{;mc7r+o)dWEVXY4!w{8qC-y
zfR|w%KO&O@aJq>~Z5a$;YRLdPJoD9L{{uBr?*-P=zt>wPk%QsJHyj-RN~*k
z0qO}n6%H%fJeWgZS`JZ*@nfhdnK@*7F_7H_WcqC68zWP}34&3VB2xm8=`9z6t)IYY
z)B=lLwJH5qkyIQKnYQYavlC?R8;)+q``qEb@Y31N*@*}qyP0du!o~h~LKu4=tC5Mh
z=uX%wqgSjx1rhF859DgHQ82o!xoeg#i^q$)A&YoblU`$O&5j5cpRhg28o?8JC8)Hk
zS);)jU+|m`N1Nb@)>(LAr#?B&*Uwi|;#W;prz`aO;@~QH-j$9HS9jO&Zg7O#OsjaB
z5G3q|6C^Blxuoh?57~Z91
zzA6!*CH&ofxOm@%3o6@){Tlt@@`b{EG5T7=sb`}q$t_!%V#`&!KH&Y9RJ|S
z+R29FbI2xb!;xnjZ#Wd&avKhnV%>14)Ds=zp;(i+a)AcG+H?@-MD3sf`r~(cn1_7k
zjRww)z>UUhD64-GFTGJL6;d|T->SzX*nQUpPv51GwZ!xt)FqTHOqJFkKPWeY2W2w8
zxe_H*Cz29{U`+b44**F*^>}}LLI8t!6p=w)9>tPTi5CPA%TbAsM^1z*A%i}YV
z`#rIe9+efqV#j?-U(P(b4Cw8GdGvRXVQd~1EFd$@a^yyUc{DkdZKGoE9|^gUCecYe
z03fGMKu#qq@hG<6A6JK}GK`QmtrpTX
zz>@8^Y2CzwmjjlhCWfyRS`yLC&9FTde`?VgBVgM`$9sP8GXarOGstLW(QF2dzrfQ?
z9c^rbyjG*u^QaO~M){yfkz@m7#xdoA%sM1!WnM_hc4tyTP0PfedisSRnGIa8@?_Nk
zTiGzm2asi&fh*5KHgG8x<_uga#R}zA>gp20qF9xbDFu20TPp|qp6y|-wpqbx6u4QL
zrmTJgnB1MnDZqOd)qfI|uLY3Eo0YFX))F)QG+Kf3n-!YjJf%svyS!WZNkETyxAG%T
zR$chxzkIJXLb+c-
zsVF75?yU#!SLA9Z*JO7g-mgeJp@h`3U!hTS>{l>d>{rg+48JHugnrG>e&t+*`t_+g
z`ZUVKGq27p87bP!Ro1~SMhg|mRa?O?1;Nb6S$ic{vVv44$)uOI0QYs7HDxhmr*o~U
zA-S_BJDnVhY+)mZDz*_j%zaNb(b)QA5V`d#XDSl-{%mAaJZ#V^M`^v5sdu1MW&PF-EB1X|#|(Am
zkD5ejaRiLij4%RC|8T#xFJ`wtig51nbnH
zfD;Q+;K92+EY$X0ILQLx>z@VG%J5Zc6sZE8B+CeAxdf;=Z-K9m0u8PRXG|CH^`tEl
zzS6Jxfv;;2=)qk~;?%6);=VF7|I#&DRnh@m)s}o!U4?$N@^<$l4ASL1&wN#4O1k^;
zz*1ch&4n!llWtHoBvU=Xq>2wVEV@MS#sWl*6a$6oDWHkvpC+R=LpQUFoD+X;vJ}u)
z#SH$uDlj|a&y?%&l{f%B!Jo(2WV;Y|rX=QY=Ncfn3%Ij|JY(D`xIoxvEixnocg`X1
zyk1Rph+_hDFiDs1U?9emcd9gu2Bui!Q9Nr`i)wX1o=v=*0K$+bYAIZjc3tphS1D!&
zkGZRAIJKqD;VmEqO1$G|BES0MXE58Of;UxxF1ixq_I|$8_&zlq-#oVMb|~yVXe>ML
zGrW-C_K%RR0iKV3aC@InRXJo!pYg_q;Z$zy@mH3dgA_WO7UT^Sh$Bk0A&f1QcIkYu
z#?(qpD6Os3UMu5p_zMq%bZmAv#bF7@_H{Jx
z+@sO9@&V7pLZ)yeG%jy}+sZ$rtbQ|-ieG1;Revj1kotW}z{s&f?`FtaVhzqSS{&sX
zhjT?E_}B;Rs4|{;h27dJt2$;GAOwikw#B(yayld2%j@3zJ-zNgp(Y{J1S#B?5|N<$Ebu|3Sx_2ex2^qe
zpT`d8quL9BlIl`!@pg46grjPrlLq_vJa#vPnsVctTlEAp{Hw`6PdByI1SfBoHBC@(
z$d3a^Wc~6OWG$gzE+y-T3J!s@%dq*v!^~5S8MG9rQ-0*Xu;>)ppL98Lr0;q^2Ia_+
zrJk%MbWkpGe)rEX}0yJ|)z?UV*|g{|u=uYW!q;9;pYA5hpz%?D@e
z@&rFcOi~Bk@hns`xc`;?Xes&Czvjb_D{m0rV1Kwywlq(eAC=V7I#SDsplPEEG1pgB4asCr%=IZp^WpMv
zdou9FVyxE_3|qaHfJ#D?H+l3_%cOH!>i1d-=qA35rG6$bJ6q~ghQ}@BeNQa)N9Sd*
zI9NWVFlVU04Jht{q5c7685`;a6UdNzJMtsMP(Oo)`Wxl+7IykH^usjG3yZwE_XBR(
zP^M3H7f2tO=kXDhXb)KOBfOnxU+W=SlbS%5`sJ2Qn*NNYfL{_$>V=-HoeafgoeYJ`3jY)j
z(Yc`jHI%bQh(RjaC92fbQnf~Yb*n}pDN_p8Wo)h7uJCgn#e^(idn_(mfxE)@QP!^6
z+@BjTPSOqwSxc;}gLtqh9T|EKM888Oy{=d;5+zEc!&ssajN(hN52dW?`vMrmqxdY!
z>fU?v4fLU-SkkKgR{_NGXubnE5ss5KWwz3}l|C3C(P-PuUog+hYSB-6`rCnO44@@w
z4f`082z|3y(?yyEWkGhEHT|3O*xkG}y%6lEF6FH0t`3zQ+n>*4XZ^I48{6E~3gh^Ld<8i5nG%WK4vkUL>cz0r?TS*M%~Sxe}Yi%VJ3a~h{mk#ulh%mo3RWjp%g
zJy}cWo}3;12~c;C1a2TAiV%`YUFWf*=Xskhu;t6bI*Tpq>#Tn!to5){n+YgprDlS&
zb!kJF1`TO=aTj76x-@MmskhkBX?NtXp<}wRq2CQ16E<}EH9t1=v(Ombny!u3Yb}4+
zdsb7X21l-<0}J|!TxAt-rRC$@57Q`?Skd^Vgq3Uu`!cd;TF^p_=Pyz*{^Tju4aiRxp|4mC`IhL;4n&zZn;f
z3`b9?PfYM#)U*YI$pxWLAS>`(V>CMrmsq!EM@MULGq#*-^V)_I(D)nJ=l=Mgxa(36
zo6@QaAMyeHD0PwS+ICN%}Hm4o5@o6K7k#yTnIH(0cR;5r`X1;7w+O
zDbg%x39{QP+6Ue2MsJ;THgD0+<39#2s!KVGwyQ%vZmQW#VD5x@?5dBFa^sp?-~JE~>n~8`b7^PB&OLA7t!lZ0TSXHsrav=j{
z8?x=O;CdY$Sh9~5HbuR*O5TorxSlR80_I00th8kObw>J3Oc!Fweut`|2VtUS_wuIf
zgP14dCqHdpWjxxpZ+s>E?{xUznee{~{O{Z2-@*C8=HZn1_@mg5o|uO@q}u39;oT=G
zg*p51TY=&(*oVIc)c{MzKMgZeFoCR(Z{u;D9f_Z}=zs$TpScfNx)`Je4yjkh>+(bL
z_08~FAy{;qaQigaed#z7+&KYz7Wh)bCkU%E;^eD%zOgj~Heh)0renT^7Z7W8&^(`c1f}A?IXF9ew8^uIEH*O@
zc=fa1n5?1X!?T`a(HIEn)L3n5bZ+~uW_5a8>hj?HYDkmdA~5bp{Ei7meB<69_dy9C
zYj}%~tO*1oKc}pIi%rQb{#gOUGBmFsC&I^Z@yskd?MkC$-IpZfxL&7_owL4~U_M)?t%Hi?d$vUiCu+midk&Z%(P6u1E
zdjk5;Te7Elvg*d97MtYN&a`jkU?fo!WjAFF9<%s@s?>
zx^+{^Y&%7jK*!5~ZiLDBPl+=g1Mx#NF+K=mrQF?DuDKtqS>Jsp}9
zs`m{1MXHy66{ub&7j?-~q`(VZQfOF7me!_V_X5v-7%;}s$Ibh(n#m?IQ!J@I!*1Wd6?I_H}Zk@
z)OuFFpc3V{iNy8C(@dj;ttO1HSft|fu!JxZO{xw$i^;p@B|kvrDv>Fxa-RoH3YGhO
z{6#94eif-)L2f51cY~%e*!kyoTCDOZT&}5D-L`tEZWT2?pqrn8iX~#(J^m}XvL#37
z87JX_ElJ5Hso4iuw(No#qGn&MYDgB2mz^ouv0Z
zr%$LfD%%06;PMGdK1jVC{1h1K!mUn-dOJYXklfL$r9yGT_Ogcx
z_wUAer+(;Nb|>dN?{vJSfIi2hhkChqAN!cV?Cj7^nH?XEeD8@O=2Lb#5i3-~DU~@j
z{A-xfT~Nc9A=}u%AQ(Yv_`j64@;J5EN5_u|
zL)Ytq%qn8%wM;9lYI*mo-+Pxnb|P->122I7NwJ0$(Fl&{h6h+B*#vn_2Ohg}T2u)%kUw1{
zk}OV1^K?^5*{9vLm1igWLlrx7ajGiC
zdTYN*J^6b17LYvlXo`tqPvXl78Ubt7HG+wk@)`j)%N`~ozu75|b0yHpbX!2J>|~OP
zK|)F=$#UB*m9v_9_g#rAY2tqa&g$}L>f{he_=u_@neG)Nl&qL{M7Zdd
z{6ghKg#QEFaII_^MEL8#?2HIgUdO*ew)X@P9%tA;73&KDVM=5U5dI4g-3356h@--Q
zQ1F2e%y*C_A*bNsE;n*H$-d-w+R582hzzw0yg#J33lf4|%QNZ!1+|
z1%D#R3;wcKu;jWeMcSWH2{J7eGoJow!0!%E)=q%moya;3_~lv2z)!I<2mDlu75J&t
zNYH#(a6;l>xOf)RVKn6x5SySItig
z)VmjGa6vsx7f|m#_=}(({hA-BH_Tv3xe;=ATF{yoK@jhFV{C9=a+(Y2aV;GHJ$@V@
zLlr2o{Hc&5%}jDKXFn?urK$T6FjW`D@+j}Ks)nS|E0m}BN-)O=*irlNZkYWZg}!Ci
zAt%WDuBCuJ`7$8yUjnl;$V*urKa5=O3CQCkNg3fP#CR!1CC-C
z#9NDG4Y0`jA>NfXh{qa3-b6$IPYyri$1AH$+YOz6DrMrk#?vDmnmi8jT2bB=REZVk
zi6k$|^Bv)4^PVr85@T8>Zu9g_LwLXE$=V6RyB*o4A-p^r8R025<`AAru_8Q`I^Yxz
z#hk>Q4`x5ssLy^s*1OchKn?5R%m~DKLjkoi){|CoOSAgDz-3)F%Y(mn
zsTz6^)MD#u9srh&*iO3;e-eAs6HvuLEtVb?0;`nH9I$#P(A@=K^)09dlnWgZ7OWst
z@K-#>)}R*si10->)@Ej#@CGiN^QDu$)h3*b+DYeyCmR4D#i?P6;>OpL#%g=v#PG-*
zJ*T9wR)@7H36CE`y8GiFF!@rOnL@6EbL=~MTIWAJ%QEg9X!HG)*?C`U#qVqlJnDMT
zt-_oco2JMqd6Jfy^6fB+woDYRU5@`fMidTdTev~8Xvyr
zWoexc-}7?4RwW=wH%aY}j{%kzE7QE3^~XmA3XG%J!A-t(jQ;q&nG>#
z$h=Y`?F5waE*Gg*q!M%&;xj2y@vE`4K)RcOTo!yCbiz?_<5
z5nSm4=iPDrhWxE)cWo{`6w-M`O3LGpA@%+7N4XPHnfVdj!bmf5{6i_n=M&I<6`Bb&
zr+o=28sPci2XvQZ;a58DI*J3FfA=a%Vjw4e>pR?*ItEz7kjPVeTvE5$`ym>AgF8C=_`YUn|HU9OXzgSC|Y
zcrSLPCt!_Z*0S9xglZ{~IjB|zqPqaqUI^7ls3!P8z+sd}*9+CIazQl~TWN3+W;hpK
z>r!n>*5g-UKllIm*Jgnh
z-q@It1TwuLXoEO^dcuof+schM@n6Czs*G@3%2fIAJ+IU&efXYN<*HTkk#v>V{`f;B
z<*Yw`f512}n!|AjT;tzFS-Xzrz7aqyo8i6=SxX2_J815w9%{Oa=3WY|S<&2&JY+~T
z_XB@EiRO@brAFEf%oxo{%_5bcyAY!}xe%zaw4k|zZgZnKOc!Xbg1-pO(XaVIb7Y2_
znw{KE+cv!8)sN?j&2UCV9UwZ*3};kXWQH>`8D=;$Md>oab(aByJHvGssTz7@hBLb(
zaF`KPSJtPR_8@*TcBUuDP6O;_hYGP>N~XegFFE)CIFSqg;hUx7^MU>@fV`bhjRbju
zB?R&|@=$w09)zZ&Z?#2kGw9w(t%EF$XaKbj2X@zmsA^y%|RSi8dpy{3I0?bP3kI%%e^aN&U1~k1pg&->>Qh_Xq
zt(F1NUBFfsK{XOv2|f_ETF#^E#a5RoY*o1Ovhcz?5>qqP`V@q%vG2=-TV1G0$#{Gn
z(%&C%;%-O<=0{+?F`Vgx&-m-=l;iV>zix+S0`b>Yq-cO=haZ0pZc)fOMO||2ts`Ed
zgc{kTL?IA>Mo9tak0$~c#MlZM6u9W#LRq_xt?mmTma)|zK-LnYSsq(G;Gw0f*y<{1
z%!;jE?V&Mq*_)3X~9+x0=X`1h3NuYeF=XN
zwxVD2gRRyeD58K;j9vC4tL)V|X?&2Xqyt=~9S=~|Ri-ieCVwXM2!nEI!^(VBii!3Y
zj{!$JgH?~J8j`7=gpnyW*lzt;Ost`#l5pJ!*#_c7Kecan0dtQbD2=!c3TiozZs5CD(auiS-2TTJnRhVwMf?h
z&kjEjTuVa%Xa8rKbX0T;3=G;^m8MarMbRo-v)%|7phiYK9neiN=RjT)F7T~zw^Jq7
zBcme85>{{C3bzQlDaDt5n{3|Wp%O$+-s?8w$=U&cisz64+TqVULpUm5F(h~RQ>9oB
zf2!2TJKTyvi9at)U#wZ5zD}S-FCcIAFcNvr5FSN45ZhftS^W?`@D$NI0*GYj{x-;3
zV*Z_vhVYychBqDIQAn_aXZGKChAg9nFDzYwRsSX(5Yiui1Up?qYxl<=4B#jaJ94zk
z!(Q@8(6<7J<>CKlhT0KWGnA=Ct^wI6$k6f1v!{FpzVR2?`hU6!Gs
z=lf3D9=vd$2w6)=PK7|}Rm~>6$hT%qw56df*@&*jqPuBn7lBP(eklFifNt@ky}^^U
zgv8}u4RD4DgGH%Nmx9&*BTVcysS9TVma`ZYi1jUhA=$VdXeb;JGu
zx?V>I#tkh-M^V(oiJP}=9Bwu#biesgNhb;Pi!vf;TGB%tMv1DS2d|);-J>nN5tOr-
z_+m3`XbGlaBTc|bFa9!l^yf5_OwKqB8?Unz(D$R#Qo$G9za}s{8#Ypg$FD}-_r$Ql
zFSi@~FSKi<6z1$2&jX6PVAuE*vW)E-f(f+Kz8Coc;L>Z?SPupXc(M&2(o+#6^1f;^
zYv4(I@?*)n8022Cjgm^5;;$in{qa|sOsPao(b6SF;Fp2k&n#l+mr{1lzv1GC&{&}1
z;!&h)fTiDWxY$6GIyGFN>O{i@j7@Ji6G(|@N_#!>T#Z|IwUK5C;f>~x0@ksyHE_t*)CLy6|AY$(?UjE&C(<&J1__9
zF9+ZLlZMtg-Q_j}WjqkRJwjQ#X2H10Gv+8ByoJ3UvX+>L=b-`OM!qaMda}4;PIn>0
zbWE)oXuzN;r_9JtC|e$n%;MM^_T!{|GWz2&>~SgcMKyq(Y`#Etc6rQ8nlFAofLI>;
zXCNoSm9YQ*WVBRRR2wKle_1to3DmyS(+gc|#cLpQ3Dbq2mLQ$>Vh@R8;qQ-Md-sOC>nm<1L*tVdUVPKyDV?Ek^T99&CS`Jrr-
z5?^QQ(q17Utc2R`LL81Ew-HKIE%pjh8xDH~rVD$;303$-;TZI5e(V)z;m%Bjllm^`
z&ML9gYt2=3V6D)u@ssql?8b`2G@9l1%J`=2&xccTrn@$D{>DQk!UeWW{Iw^m4!g=)Cf?NcLpwX!eJ=&esOnY}`nVFTe1_wiIgX7^|bAt&OutP|IpKyk71#>0lh{JsvNJ6;66$g@^
z|9|h*tLm!mnyRkpnUx6eVQo)W^{ZF!s#mX$r#WaS*Et=uJE&^kA`-vKfh5l`ehyUw
zly5CY6t=QW6;>3MLsLenjVf9Z#OyYv(3Zt
ze(;6Qa9U&$1n_1u8{@tSwzAu%El9zgxrw6)SiXQ-i2gDwH
znB=lqkM$rZ#`NKMt-qd}x*;q2EH}9#4`Vq{WNEn`ss>2QdNcA+6N?4YbYb^I1Fm$$
zCW8yB)UZD1cg
zh@~8)KmA&XE)5u8Oo^d6qUQ-~JfI+SY6A&th#7Udb2yu?{`1P`%;VA3#hrt$Td}h-
zwPGY%(O$7lhI0;$&W?=tX5YW7FcI-y0EkGU3Gt`lUGbTF
z$Ifyb9Up*v2n$MRn(lsZ2
ziPAEqSo0MfR=jFxpMB!}$E7J)j87EUq^H4{f|HuFb^rdWW32a;!>0vw{@E<{&_0~&
zh0A5e8k1w~W*HM>HDL2d>+H27QL9p!IQ!B@y)qKDYtxm+Y@2^+pHyL!!9%40~5
zRS-H812H7zK#eN8+K#5RHNq_zt=U;STtD%4OgBWhvJsnoq`k5dv%x<<4Zm|l
zYj$R)(S+rS>2kCEjM+xJ(we^mn|*@bY+}*VHZ2vDUM;9#FmIXCOB=WL$5Po1@x!E4
zZ0pI%>7F3UM+=lE1rB*RvD*gU#R-OQaAJQnJE|A-!|cWFwpM!JhiJSIKMvB3qm3m?
zxq|GE`fYaUZd;dJjCoBMW8Q9q?_vzY4`a*+ZLRdc7}0nk#^{zw8>eh6I!v>1qN-$;
zrNm_0gSHO4*!KA_wmoEn?_wLn4`bVZ*jnj{(17Q5Kg9;W2i}Ng3-Lx!SvYYv&MYR*$e!>ovp471
zdULX4{8>jIGJ;)&5Iw1N^ae$+d40*N=JY{QbdUgu#WS{`Gn0mqPTd|!0
zk3FW$md7tkVhX)a_<*XfDwj0F1%$x}>#s8IgSFNdN-bT&Y)28833GU{k+aE4$?24w#
z^|?roh(xU_?a|y02PIw5Mz>qBk`{`Y{=!2ZeRbmRpssZ{!%qo_bvJ`3
z^6zGl7nK4K%dMnKD}E;OZif9mRrTeX(A^Bn0JfVTyqiH0B(s}Al~{K(sM3>j358;1
zCtrOq4cLNi8oCc3XfUhr#g9A^f^+wWK>?uZzfo1UIy?p=28r
zFNeohL3KAlSg;jAGJ>s2tb(mdPtL_~O|Wy-2ie0G!UX#X9)bo6_Kh5ONo4y{b=_mD
z0$#yH3o{byP63EH8uut-{{kI_T{Xz2vb{2NBm4zLnVli$p*&tihk~21YJ`gO@a8r3
zTM?5C{tG<4c8dY)#T^91su!ZDs9wC$gQcbycYCT9(TjTkwwoZV7m6Smy-+1qy-=ms
z4p3N>0CWb~3g{sACQJu!_b@L|2hY=dEfH8tv=I%7D2B0x){(R^MyTCvt726xOH_`P
z%u=GLP3rbFPY2!7#p?DY0%BD+QB+jje&)eaQ@0;`suoeVp95?+L0H`sK{D#5O04Rp
zN>}8S2F1-z?oU7wu$?eP_$Lop0~O&CEoPahz*BLp6whnJ;_A#S9R6y8+tpT%*18Cm
zQDG$(2C2u4MjI=WWti5&ORG*85m43!A{Lgw+HWLJL|zo1jMQbqNu1IJjsKl
zrUy^(R4t+h=KyRsL0AtIK{9%vO00UIO3&(9Bouo)y~6-aK}^ClCGrqHP*b*&rbMOf
zjm8vB$1j^{gC7PtQYNR$;BmnfPfeJdqRK?&iHRB)imz(*$wo9W3l;QWk5ylC#H!n#
zp1DPWb!3KsSan1cd39ueB!!G3h#!jCq|0}B@YJ;Ac2CtJT5>1Ac9Vp)M3E$;C91@#
zC8~5oKV(ADu+tZCpgV|PnC?t_*b%5Z*K?ddxAw5|%v73~AhKK^ukcPCR3LM5WK|-y
zkRazca-l&Hmjv{qo^HCOh85{U1jMRHqNunceaVBTrbz$fsaiylz5=k_Bw}-6K@qNGflHXT>4eZ37o$W~OSBHCSn(8A-bp?W)$st8y6zVN49+
z)(=RCTgMwLl~1yj7AIR#WoLP67W@=wP+frt(~_A=y;W<^sWy|XAHQcA6V
zCohxOhYR=B6VKMm)xYhIEzJ`0Ghm8HpFf>0GX|G&|B>x;%ob_Z{ciA{)mM_GcP6ql
zNEi6i&`eGj_W-QNK~Rx;BW0B{h&uLX+WaQx*QjA6GI
z8I#i)`Z!hXyW9I;Ign+y_t#K0K#F>Cdk?O;WxBs^?>nGFR=0PV2My`=F7elsZZ8rq
zh|_KlmLtT{)JXg2{)pXPIo2s&THM}Y=$Xsy#d6{HuE!^Gd+BK~Ztvq0?~pI7%Ioxw
zc${7XTmhFiKz7LM>vjL2BbOk-gIoZnG_By(6&F|=PpZBbr`+I}0
z(%<+6$cy3lPG*TT;(jN0PwFX2(eo228l;Q+252Uyi~BmnXgO=X-^IPm<>F@KIlqJ3
zceqMgI(-KXqW8`~(HoBcDhEs0xkZ-bba`G)Rr~JTel7>H?A-nXR1J`yUYy(Sd$8%R
zbNf7K&Fb8K$AgA+ZolcTC!Jd)UJ$3CYETRFZdURs>nUjVu;=N8L_
zb9+oIom+YujB~rX1<5e*)EQjJI@9uRcR11R(&|78IIa8+$Djqd-R#XWB}0~e
zqza)2+8Y!18!V_ealhX3K_KpjOLa|zo*8Cv<6xs2)qtL)-kQDHZ9&f2o3Wp2H$mG3&S_=Yw_OYHg9X?{Pe9e{=4-=^TZOM+=qGM2a#30KS)r4Jp5Hm8}B@E#nwt&oNud5!yXFY{C_Fms3x0oZP$@Lmu_l+3{tRboAu
zqDoifl?FwpPVP^DNZ5|^CzmL68A^#sJKQliMKQgmez<7&CS=voh!
z$V^tJt2|Y8b&5}b$^o~$To2XV1Yvbj1j(qADzU1QD!py*kS!%EoxKDhFa=1XFjH`j
zMlNAm-HMBJ*6h_aSvC`?TlSO-#X6(2}vU+U?PTSQrBUr0c#IxC92I-6q{
ze5(gjO>ghWd
z>}Sx5UU_P4yb3exahzD^NYb>z9%sk&iw39y!FJ9*okdTWfa-5mNbm42bwERGMM|(q
z`ELLs>!N8!PVyWSyk0@*Ob;ZM&QUQ7aWN{VC2lHRx8gcX+q4b;ISv0=jsL8|f7akX
zqxjF$lcY|kQBtRz-7{^&FflK~Co(bgG#C?8qEQ`Up8oZ_CWbNOyqzP(blldt(DPx-2Nn|)9|rvc
zcjSXq-CS}T+_KfzEyy{0^JRfv-es#F+TgpEtr&jTvem=3R(e>r5{)M|KYdk9YS~J#
z%3u9J!P!K4;tv4A3$tu>h-q88uUIA6Wmc@-1lSfI`QqcJL38AZb|L@`Ja5LwJedZr
zmn&AN$zq)fBeN=xz-V+igjKh0UB7zk#?2d}N_|JI4o8Az9$n4{HdJraSI^dKc%)rS
z>A=t?%UpwPM46I!1c(9Jz6$>Y+=nx$l#pHQE-`2Y;|QL?;Fraoj6#wxCBc&rFF4LC
zL9)bjkD_j8zzu=b!anI%tNRd$_8t=@Z1u1Zxy?&F@RQ$1PGEu)BwVSoKa6dG#(woc==|Of^0GfTyaiXYs92IbeP5!%*E#6xK6E
zl#HIK604r6Qh)3{Q5An(kX?ivChdRjA!J6{oeCu5^q1s-%3((w8uj2s+L1*B_|C&8
zP*wjH?p$&DMfKdH_dZb7H+pMv`qRmeRdITo6Nk69MC|2p;?sJLj;@T4xIdDYk?{0I$+8hO6!-Ss3OeQrt7Ex{d2NG^iI^8X4JPJw
z`s@r`h*S|rG0~g#$G%Rn#=g>Uy2ijd&lpJXS)a9JaiIY8XJjNE6c{gZt$t3vkdfH*
zhn6#+k4V>%9&WZk=?NK(T`469kGQoIggr*X_#i#<7J8FO(t-Fk>v%5i_r|*x}NJyu*^h1
zrUC0dL_b~&V8DXWeSU%vG`XH({@TOtNv6CfZh#B))Mb9KU#wllOZeMuxaDsm*{>Vn
zvb3CaHnzu=@pcm1CS
z6IWV8*o9C~KSga)X~xK7+T(Aac#*mPXGxsSP-XXch4NQK(tPW$lzfxn{ucz0D=w$6
zAbwAMwWn$GZ>rmeDl!VH%D!jbn*{i^>WXa%wN(98_1A_3OEUZ`ScZfQ@vjgJaZ4?U
zE9QV-s*9l6{-TD90eRM{Y*@s-4m_uJ8+a6TNl4WQM4jw9+9arDMw@Q}!FnBSs!QVA
zFouQF&qK|gltVJ~-(fkjj&J&XwU0Wl+^V$JMeE2suDfBA)YcnFVoM+`OSww2wLf_U
zVpmFuj4}7?9NqWr{2XGs&mpUmyR~KvwvyJ`V`CZ5NUJnzbc2T0!h`)Q6^h}5ebT-7
z6$mCZ*gp^734>}dz@+S3+z7-=UJxm&A4&H*}T+`w@_+S--*
zzfeXa{=eAvaQxqlf|McexH||FOgf_xqu1f_wDGA*xoL^TY8F3&hp3-e6$h82X))x8d|-8~LTOdQvWMM4uibkK_H47>nt$26nz`pAw_!GcqQWHlzcsmV4j_~^mxi%h22+lS#&o$>pBJ+n
zH3x}rrP%~dNko)3ei8udEQ9Ed@UZ7&v}_%i773d^AM+q4<{ZQEI#1(r+ud16wc*%C
z$HW1S9|^U39c2kKnnZUF%jm#7kGsr0Qu|{NC9;9>^MDMJcg%<5Z-ziy1hdH#;lGpN
zzfi65py+{TRU-7Gyv
zLFimH2(v^TC~lP!G~<^c#su*R@FZoqb7WVF+HH@$zDeFULIZj2P5e}-oVZh2d-Db?
z53o0{_cWfeH#Q0-DjGivp!LDtJR&X4%G?OHkh%F2XseL9kpRHlC~hZx$!BgJ03?LD
z`5ZoxxuK`Qn43}bE^e&M*=|_VXqI?JCpk=xgw@sTbgmnKt|qP0nD6ksBCSVB$1#gm
zw=3EXNPvr>KY3xQ+z(lHdbemlP!JY?N~W(hl#qa|ws}4xU0O0vcPyrlrM2f@CUN$8
zM%ErV&q4eT&;lI7yyqYevB7tpgJAe!=OC8bTIt~&glOEf3%dUz4J02~`7fe{>A2gf
z^Erq_jN*q;qEIK2w&HKYyFS>{BW;?bY^rFOZ0bXZLsu6rS%KfIR^aQET~R}XGWCpO
zv?h;+O3a5~YSb*_F>+jzCkbr9y-9GtOGErpf#?1MR!rpvC%r(%Y7-Fu)CmLetsml<<=oSf1pGH&Jyl$;)
z_Dz7g4lw>e_4&HwO00xqTWPPJs@(`zbJ5NY%n!e_Hi4_>QBveh#9Xb$i!<+Z#-8yGOh>C#Z*R
zd6i_I$(I)ciZ1mtqK`gz`Go*1#9i)q8keI1PtR?X)y#Vg(E4EBjp@0N3OPL&{3O#g
z1&wvL?K!6B5&#%8B_>H{@)@(g1tf$q`w%{nF{7t0#*8gQuVKVhA-=L}dX8`kn6Ztz
z8DpG+te9vYoZ6BWQQTj>1sf)Qn5yz6X1RT+%VWa6s2~hv;x0N++=3-&#@|PbvleVL
zr`drKLs8Xkz)sHzi3}LQGMVyAK(KH2>*oM0#D4wE(|F2$+31?6eEg39tq=CgnC=tB
zr1=ueB=hw-XseLYZy1^*(A))W;VB!s(dB>F}-(gTm2Wtbhtzh_-2LI0Mn>
z7PingR&Kn67HjKKWj7pI$H`)43fAQ76p6syaA0Vo5?p_`y#f~|)UiTsl1xrigHT3!
zs#RI3Vio-XrX(PKJN9BYej9hj?zHJ_l<|qj;1^>5+`Wnt+Wx=QTgtUoCAzpWM_b0R
zOVn5Hy1EsDh@!d|_*K%64~l-gzt?^&0wN^+=q{F8oJ9%%jO`YY%r~}w9`F@YlP};C
zjqUW*Wo(ZH*^9(kR>EBfdB^qR9pgHH={}xcIe_t;8uX3hm+BgfJ-zX|k%?`zd1B`X
z?u9{Jr1LqGH8{5eLluPw#p*vvC>(ugR$4QSI>vRxxS&mc77-RA&`-}w1Sx*=Bd7f3
z8Q%X@LFf#Wh~}_r*TPPj&Ip0oUkYUE>OJ>
zuE3!wL!w*&!BuhrzK;y<<^pJA;TBqbfQ?%hO_IfdVI7akPc~-j6C=?C4)ekQfklFG
zaz_m=x*3TYFkUuy>4WGHR>WbIcY1*`3<5NY#$EgF1113ehdXE%$CnFT*n)q8mNC9Z
zIzZIAj6Zgn3vGCn#D(EiDN@4be8X!EniRupj88PY(o?tLRiImBcwG$x1cpQN4zcN^
zWGS&jP~C^wYX>vTibj1y?eP{=OKL`yohdJ6%E-xx`fZw`Tb(kNX9>LFf#eK;|%-
znoyb}SgJ6!M(&+$z6N@gRvqVT^A+?#?iKR;Z17#PO@<#f+kCIBl^$lBqH)t6IQ)*6
zS(>#~=RrJ?p!lWmWqP)G6TIug5Oah@fz&V~+9ktzGosLKn9*mN>*U5@m{77uTaH8o
zi$-DVmuswlM&B9t9%xIA!e0dQ@z$k(hE03
z2U=0NSul8>l-y!+7T97%CzW`40K3uN6g3cS4seBCVCw3u)C|4XBd5yg3wtAqM0M<
zVH9W9>0z0fia0V(O@l(skA;o}jijerKCq1*9BLk+>gM1NhYU!}iM8AnBig)_D=6HfdKJY)`^1thgDU
zVh-RCLf>gAH5g1P{gVL}%fK
zVbMj^(@ZZ%AQlf%YNmGSJFpI_T+pV1*m`rKW9HHSco3OEE7+0Ew={2#zq
z%%0zkPvj8LQ#Xe|u&9VbFd}Y@%IgfA;D}EPNZlQQYX;y5$TodWz{R@GbC<8%G!kuF
zwd#ERpx+gAPh7N7xa_E$YhZ3JcC~Jz!1eh;X7wF9OC%P;MUX$0IFfttfKwLpxCft6
z5ITbgZ6rcc@j!YIc-rc;%pxeI_vQe+?E`rta8pgk)ak!NTaR5}||C4Z8M`IU+$+yp~
zOOQDqFk@`a2W+Hf{jct$(wF#gAgFIruQ;V7&$wS!5C$^t%TCa`X`zcx6GY<{;!F^YgSDj~TH6P?
zRUR0$BiG7`=K@kLeG3}nZUJB+W89y38c&UJHd-bMA72m9`aQ-m&A{r=m92t>WUQVJ
zt#u#cavUm<0Kj}H$w+#W&wTwAAR)}xU*i**FM8@?zS5TwVJo_msaaQf{STn0ZgjGu
z*Zn5bzg5_MNMT1$8SMIUlj%vDAw4Ac3ou?gt`$2bHCt03rOaq@!>Qklo}z%1>VN@-
z*I-h=8{L`~tZf*f)Z{KwdA}HMYmq-qTlpm*UA_^OwWW&JjeSvl)tL&tpLIr(F>?V~
zigZau)&F@iaMi+hk^Mm7FQ{)GD|KHyn)E&XK7yfnaB}IxG7VWVIn~~nwEv|WiyRk{
z*>Eu@lE-$J7;+&?=A>{W83V{Ecn?+v@}*m6fqb^y-=$`|GPS+#=Q8$$idPjN8=L`d{kiYgQ(`67_SH8n?dy%%y80`)$J)PvKVXjzZD7{2OD63mlP
zE~65pW}wWMm*OwXbqSlcR6ls-CpOY)dEL;Tc)F(NwK6RhcAArG{g8kF3HOUiDZ?y^
z41*6O1yde>2MCs|(m>awN45x`O$O|@%g=ys3kLi@Plt5NEpGBV5UxrDLo-zyueImz
zNDO)QVzd1L4L3nJX`UiTCTX53v8Di1rH|~wVnvotw;CXW2t^-myL(~iePBAsfAJ6v
zdCln{zeiO)=^%BxErs@yGKlLmBwYn#te>d+6*0=&uw>NL8QckrX%kSe_qG
zK&rKjZM
zzT#yk=LaCW*hZMNKh{IiKxuy>g(ks4nQD~VWS^BhqkAGs!TZ7GE4YFg4}Qu?sMTik
zg=j45{7X@Wr2P4w9=MsxQhqA|u}Zlp@=AG*bf>TLV5&*_t36eVNc!CX+f5XfbVZbm
zq^lCEq^r_Z0nArS?Sy;YpD5fMFJy%MA)37~hL85)9C?NB}?UmQABJB^iRA5{E16l+?>OhWT8
z)aOqVcED~^FU(-IKAqP?^o!M3djow6N9>PQ-3gD_C!~lUiD1l#yq32K?J;Qxc~iiQQTZB*R{s>}DZJW?=dKjx)3
z{m5CVD50_jp8SEiuz6#Vo8T)Ei$viQvB>=0N7dkH!!Z(?MGJaDrZnPvivAQx_*F78n=VvbAP2Y$L2(1X;Oi<*5yLDF-F6aqKcU
zIi2z@l_@*H&H;K)mNR{LmfZNdb5YSHXh0P{AYkIrn`gQ20P*jav4YbjqqJjM;zP6
z!4@6yy~lo%k8=;8CL9(^o+Ewb{#>_Do+kY0MX8}Rw{Lzfh@l>mGJW$Wbn(q|wr~3A
z7h_Yx9G{*V-M#QqzWOB=Mj6r?=vdkyNb`+hb)rrq}^i;Tmwa6J;{cz`pVwK_h+n&}KWk#NR@JRI=Qq#FsF
z0Je(cx0~nGa(`hs%D%@<#B(^FVRUo5`g@!8N$5TJwfEbASZT*Y*Dn-gUVDEo(semI
zb$wfVzk+=ySbjGWBaia?(XGM}qm`e_LAqpp5IVS_fdnoiYSx7x<$AGkQ@@o2(OlpS
z9*XGe9Hy~ATJhq~YY7PWA=xE+QDoR}Xcz3Qxn!Td3^GLy@__)pubSDnzwz`9d%z2$
z@A6dDO>O8x|9b(pn~c0%q{x_AE>b1d9vWwnwNh%4RZ(*I|3CF~!OdM(l7A;4
zRwWTdUL{!seU_R)&x(np%8PFD8#fmBeLPilagRR(hzINgSPZb;1YvPk1j&fIDzS>Y
zDqS7Mdqu5I;D;dg*k+j6|Eou40>%C*ayrOc1Fky*FP>c;T|E+AGZI}3en+DTm&(Gn
z$QC*%!YM%w$moVu36cpU4;RS`MK%($Cwe5u&3U;chJaXA;qg@DRfQaz1vYyy)vW&|
zo~lLEVGF=^6NS}*d#>+fi{Een>;n{&lYOsC%{HnYq_zI#BWnCkt+g{!t?ka=+N`H)
z5o#ieJyY}3TK~4C`u8Fa(iv)k^k(dqpfi+M?UpJ%qZg%BYS`)NbFg99ewYn=Y!0Fr
zL$}i#ko!DdmcuggJ`Z%lJ<~V2&*RxSpz=NsIpdI1rfRR*n9eNE%uLy`C0nDuNfOgl
zDd*o>eUyNw785e4JJOAw=m1-S?A?_qxqgtGqFc<33Y){fl<3h2@K8#O%(bOFr@X(V
zAapu=$4Y{vHAe5v$oOI+l!(C^QEbx29LNmyY_QMO{Se2wC>q*`U&hB&B~~9(m7bhSKopTW`RaqQz!r34;dJ>Z0CcH`
zph$c6_fS`I`g`kgKxKbV8U|_KoG8m}Ez-&>)wS&FeKz3GSt9PTny=`FGG2w-d9hsV
zX?Z6;(ViB1%Is+&zixSYAhVp5l<3JdI~Ag~p!XSYiRGp(3wBs6u=_iO9X(~R>&rbJ
zCvK^f>CC0;8jqt>N-w`jxxvXMWI-}l_PyN_hPcFI#R^Q-1DKTS?G|6@0jZWJX25YxxenZ%^JU+IDsKb+%S|V2^0L5PJ?b
z#snL84v;k@bCMS(Z`!tAxp*@Z#+&Eb;JbLk@WXiXVp}Uc@J2LVh&RUo<*fs>jZH^b
zDoc)8%S`6oXY00$d2bG5-g|BEUCd+nVa)r4t(6{_CmJuryk*LVvTALo{B9ABUzKSsPb|k~)$%`YV$|N8B9fB^*j0
z48b2@jxc|t8;kWIx*-qydHJi^-R7Z%;J*W&i@Hhny%6F1gUh;
zA$|b9>os~VZzIFDF<6YdofmXMN|E5t^JLC@$gtp5WUm1E)930&Of%0_WN$oWE99*cyBZ7F_(1%e)_G9^S0ZpMEFpN4NKekpt_eqzaBk>qUqO)Dc7U<#xGNZzUP=;3yX^
z0LjIllA7kxMfq}Cu`y7&AdSwShu`qG9cJCQh!37137C=M}_BYEN&)esyV788ZgHF`it!N8}
z(?+7rB9KN{V+-oczR`I|R(n2NyEa{JwN{Ie;7D{+r3pD{N1{nc!Ph3_5aCt@_fvEB
zJ=tv_JEZ7q&Cbj;n(YcCxh=OLktt+*hUE6J^@;XqS8F@)h7{NnRe_X#yJ}NYdgtNR
zlxDNhlq+jje`;^xC|&6NN1hhqsWPDPr%`){<4>{@%kaM$Ues+Nj##+7x$w3rF*Ji;
zyZi>wBj?)XSCMqfIkMWfP4H);SxGLS+bXVSgxie7!Z$7SiM-X56}U2SoKkXFw=H@@
zmJfUSsxQWw0~fAJ@ml6D35azqQxqBFKCd_H`}jI^3mp&imK*5~`V&7#cy)4_r>Z`H
zhptW@0Q4w{K
zKy2EQ1m{^!q
z$>@qIvFeH{T^Ft^N+1-AJ4K*?rXV(9nsTRy_<@>oMKU{3n-emw6s2Xw`CD>1q&g8L
z2Nz@VXww+$;s`5`wM-G2^yu53e!GQ+_2}ya#HvT4$g4*l&+AtnEHy3qxub52Zc#j?;x`f_=yn$}^xr;nQ6o#UxmMDI2LY&SVs?-V&R
zdZ$XPdZ$XCR7i{z@jAuezzBvIg=ya@9tH$z-{X?S#AM*wSZR$nYY@W|QAHfPdrai^zh5yf~h
zz;+Xa6+;muqZq2hsu-&D#2l9{*~R8@mW#~8fEbIb^S~HjS+6hVk=_y6OCzDZm_jPXtpnl$Eq4^7+x!W#220%Fw|QRLSc_p$e{d$80r<}046MKtD{0NYIv))?-!
z5g*)dB$8t(KALR!r3Y)RgLx?m;wIa(gd_LA#qEG-4eslyT7;rY0QO)gy4-`c*1?<<
zJxD4tDz+r8`O;+S>ij6I@>DHC<26NSyg%9@*;(gX#{*54tlAS&Rh0z&t4I7<5oWlef;dy7oUmisN
z_Z&fgKA40HVV=DM@*w(`azN#SNpjUsu1xlP5Ph^fF)_x`uF}fP)OL$Jc_WT0t(@t7;R@yDQ{VkhhKZ~f~W
zY16;%N9hwZGn)b5259%X88D^|V04sz*>k{t@=
z*|bygSu*leT9Gm1EUOZ$v#d&2he?g1RwwX7ur%1FZfUxYA!sKtkK#EV5+gU*>3t$q
zb?-?z(->}(3lz8N-UY^{$g;AfwT6*WBQT3v>aC&`Y0b+#eQ~p!wdO?x#Hux-$g4G;
z8x-&LV5!Ofn>|%^`Hve=Ibi?EUqE#?L0JA3K{E2MO04p)N{{z2Uoo-cs|oUoP{Sm=
z;~`>3!ktPZr*&uLfXdT49Jg{#>rT!Am8W%bke1UrH`bg-PP#&B7`0sJ&;T4<_f25A
zxY6Oa_(bofbNkUh;b-|y+0=4rpjQ&so0LuZ;FM6zi!%`6$&(^h26c-pGO>S?Reqr1t6vI(88
zRlranoG{<|bsn;5zV)lAs(bdhK5X__ZnkUVwHfdWMT`y}Y?_doGv=8|{=(BQH#>PI
z`BMU7)e2GM)e6r{a_OJ?Z5N+p*xyrCm+$xiKs;b3xeQ>t3BvNN2$GR+RbrKIRl2In
zOwuL@iO7e11zLcug=xW$JkpZUg6{4WR{g~yxQ~4}enk$bJj2A1Dd!CHPjf)!8KxYD
zrQhJjnrE2O-%$glWrq0x;NY5JV!4=MUW1}VGfa9K%nb81-YZziHM@ip)o_%#JT)^X
zas(%isJN>SE|xJ;nTM=s9+v@DO7<~kmoN{Ih|5`I@5#8RG&~4x|
zuFpeTX?;qOL(aJV5z$)Ca^7XerQK@%M2(vz*rr8$UDqcZhPzZDSre_yf`XB5v
zKJ2NgyNsbzqW?hxXj7srLD*$f1j)FJs>JFts?rsC`LDRy$^8jvIkuyZtWF<^7Tmt&
zAuDo#-8vNioNnD`azJIbPU^ZeOiq;LP0-S?Ds8m5b%);ScI&WQxOMCCiQGDR8jM@F
znv+u1Zp!D_rOy|s@h*W=z_mNp0?i*+N%aiqXnN#vdUDg25A>lb<;m4@R%cHxp?h3K
z7A%w}cZ5Y0yZdqpmKk5}X@GSfe7RR3+1Qs8gdm?}E7By7FZbk)cto-Z<2i53QKCgR
zr;kK%=hT$go+Hvbs0BC}_e(34pH~=;lD7EGi2HE-ChmeXwWeegiz$LgFYs>=t>vsEelPH;;%c9C?pwk7OH^)?%gfCjkU3|o%%052PA1{B
zLE=VQcc$d9H2>)7o$mYG4Rx)~;HL?Q)fp5;UT4six`Z8CR~04CG|)Wc>67LC+W#RIWiIF2iCla3=jIUUDb=*dew0X>!3
z!Thi!F7{bGJ_YCVZTVMDz-tvw!%QrXQ`pf{2D`pwI5}93-kb1t!THYeF7ZfFY{nv!
zj3%9%LOngzjJVZsW^Ua?V;m-%cp)O}=TpTZDyn{p+9uBA={T~f#G8PSG#{@fc}<2Y
zyT>cy?6wSd>aUa%lC8Q70p!|o%`RN^LD0#ks;~9}^8DM%=gi+cU#c$d9IA*ZXe+y)
zd2iC->8dxvaWkC{cfyl|67eqi(w!qmm6c-=oRAS#(P#-$v3=+S?Rs)_^k8F
ztx9WMw2lnsx*HU2t%ia8F)~#*hzJ~r)KZ3!oKQ|)ftJ36F_FWN;RSWp_SSCv8d!9b
z8W+D7n-CN4v>U0qBMe)De}XMppw}b&Qs)}N?o@uY1%mD&n}VskRPnv=Y51MW9r#K(
zq9}XfPUZaFN6jG5Yp)Pj6cUdIgfaK{15l5zVSXV#(tJ}3DVH|juuu0|sqv?U7Z*3x
zX-CNFHN}_kfbi!3K$*(;eJ&1-YMuhUN{=+osOAauLGDy2XV~DovTQK?uq+$vZLORSE97O}
zf_0AI8`;NN)3E918MCmW*P6cr$DSvM)pXIgY07j6sgUh)f))l#4ize*RNKavp`;EK
zgXPy>nR0int#2o%`-Yu3T6E${fmPnTX;mA17l#;r7>9P+S~)-63qOZM
zjG$otll!25`dr@h_Yal+zKH#cS%m4$zZ(JYxFBk!eD(Jr1q=D=@3KJ9t&S-hhOhn+
z_%z&CzX!e&zB;nMYyOjkln3Nf9+&%zP>)^ix8P&i+|IQ}X(ZTCfV-l1;c_MC;JrAC-u{p3-&mKRc&K%(HW@zzf3
z)<*K99k;cR3uu5z`Op$gNko?qeX3w<3a!b;6eLd>qlB@SHtLn^CdY$Q2na<^y;bZb
zKkxrKd7EcR{5J|h=NSv&V4Fk{8IMi3@)2o5k=J4Fd9>Flnb(~hr~#6mi}B7R<&n?J
znntH{`3U+Tw{v--4Zh2DVfbOL%jvdO&JTB8MB{#6gm-oxWNB8nEYcTc*Ci3U_(1rw
z*nWV#t_$AcV$pMRz|x$V1j&pu^D9uAUY(hkhB3OuYtEA7}xEgjs
z?Q>PLhFksMg4cGl99PEMjV7d&!uyk3u;vTP6&to*30a_~DxB|1N7DJ
z{KI3%L$|zAG6ZfnABo`i)$-vQ`Ead#KnBTY!6f+$86}^ul+1z`x!DB`Bf}I7l9JQu
zC$o)<-hw!aSC_)8(ZoTHD`<*_<8l0xYeh}^OM7JCBvWw%H<#2MM6nEJej91ViiI&XjO-vGOIc?0W5mM%WBw%hxdxkRGRI%923>-
zMs0Fnbtnbqsb{c1tb;2_>}aAo618DaooV1L%*NV}+91(6NdH<+v&@%D9mt67_k2@4
z&9%QgQ`X-BtAv1eW)@<~YW9%!E*}K0o*KT6chigq79;R}u<;4iFek5;3NR$3-kOAc
z6c9E&K07C{M_E452Xr}U<2l}8RNb72ADWU6?yIq|GnCYk@}a*nJF(V+ld}`61y*?%
z5T0y<@0x`({IFU0CAL<2n1zeRyIVsmhy2xf7M|!){0KmJfo9>bCqHY%x=z9q95a*f
z-+&qD!z8?oyy8i?AOm^U|IJ3mI|+xYwD-9HrrJ1XmRcR{EKkkCJX%C_cR)I5T)T(a
zHN4}r5;Vc33erV|m>^yN4?FlZt2-K9G#RZ(G-w4Ta>ei=WcCv-?Mg`43>lSRd*W`K
zI8T7VuD4*j|2hdbD%EGFw`2BZxQkGk^OezVy^{aT>{&lZPqIj;5g1HBdZcz^s7DV?sliKmL&&7Ir9;9zPfD
z%5Z!O{t22=?}>q(^!{c>)jFdt#rI_9v8DJv?OkU`Wjj;(6!ce$G~^52g|;W(l=`KJ
z*K#)0U5bn
zdqt4U)LxZXr}nD!U)G~&P#mXcK?Re(6D_$etnd!R72awB3-3@?>7@`_cvG98-%4=d
z6+Ww%N_e4w#h1#u3ouly&r%&th?OvQKGTOD?=`A993v<7k)gZuDuWgGc?1__oUd_y
z3srSnzzxZ8p4{OqofURsGRBUhiE{9_*%*C_!v;owr5H-%!0$YLaw`)D4u4BPtky*o
z`K=3hYjTQ47jl_c9&v|%wBo?wBRo}g>k@wr5D&P7>nMQjCJ0*>MUaejQ6*OEqDt3<
z%7LO+C-_tFlCa${U3l0dHyK@Us+YWu>rFYJaySsZlAPhd7g1He1GRJuITgx#Qoj{(
zNoB6_NEmjVS0k>3sy^3ATaCD~9Kj4@W{xKwIBOCIXr-?tXLsfCW&?K2CkA8$yc=F-
z0F#lL$VtT-6nI6R&Y)TV5si_Q0gn7|ydwvnSeTGceHNwzg)ot0DH&kAQ&c0NdVUUM
zS*UJ9N_hNnO{fkgks3v(6=t)9ip3mbh|jEO;`cfaes^uy2ci-1zXJ9(jX^F``zjA&
za`1k+zn)xaKmzw!8kTG+*WkpK6a@Lxr19V9K#^tOqfj+K1|BaWUvvg6TD>~j(3qW?
zfc46D1QF&)?TZlMqQt7mllgaLCU@o?P9WD9SR?SVi^e;%pWn#QPxdUn>ZuwaZLdC*
zg;Utn`S@D^JC}(4Ga&&QVjZ(pX(=~V6*=G}Q*KTS$Jml?0-ZxD9cTZdhkQ6xu?a+p
z3KDu}>oG5{$(Tma@|p~QDgn1FuYC>1bl374mW$=JobMPjP^Y_
z;H5ycbkxte#`P4-2abih^QroP7wRT0I5|79U0}6RUpd|PY&lTDlPQ~R8+_M79m5Y>
zsC%xhl^z!AMC09!acZH?#-SrDHh|^NSWZ3Is3+-{dTY}1HMU;5PG!9!j92&B;JbLm
z@C{xqCaWj=!@taayw}!F58M*X7vq-2I9s`8)RVnC*nDgD^7FP{y14ZZVchzb4Ze$8
z3_p}xKen~g1Ghx;g}8O#L`997HZCoua>*V3WpZWloqToKI&a>ZZ$Ko}k%&XD*O@g@+X1=^Z$c-Cj@ep_IIVrFN;D4^Vjoe38rt9WOE
zpaQK>o{j{eqh#^(GE>5m7IS#l1#(+LV}=itwbmG;hm2(9*{3knWq$&P>tL;3kD5U<
z?J~Hou)`Kt|Jg5t)qaVI6%o0WzVrKty0RDXmB2U<;>+<*K(K82p75bbq@Ko@F36&H
z4aGX&qW2`?wVX{r-xj@hN@>KKv!iE$a2jb2xYWpo3yW^a_8nevguOZwwQ-!V;X*X1
z&@`UAfhF-~1vdP^(hRMNyZy_Mo
z^&wGY2}lNQEPs^;ON?{y`q0ZgRrQEc=*IHbAOW=1=PW^ZeTaK)?wtpDkbb}-d^Q>J
zE)U*X7jx2dAnBk!o*&JRc&h50i2n*I2dvb60;&ga0z@;jQYWa`E$XLAH}*wA6|Xz}
zfd^v%VyKS+-8~>2=`l_5%^rrJi1GUNO;pvnzJ2vHI8;e2Ia%UfPwQ5^{Vq9Uqg$<3
zmBOO1t4A8O3D{`Um>wPKc~9bywp%R0D#u<#Y|^$BaUfd|hw^Vdj3RZi2#h~&%;fon
zvEfKx`S)%H_-~H@xHXDH_74*ftFaeFeq-<64Dg7Ke-vk9f3T-&5fgJbz;+XajlCjB
z#>A)+>%xL8y?PrcQctedT}pYV7kZ4X+gS4Gv5|mSM-Nft9X<9(
zZc0a5{7~vmQ<`laJT*`HT2Iv?Td{e=fl&7{56Q?-am`%8fBCJCD~MUsq3QzcfDrb@4On>2&d+Blt4
zcoM@g*mgiYu}5L*`9co^1J&~iT7c@VmZI1`IiG>^4{-OzXg>YRvDEdDr*CfIVtxA-
z0kP_vC@QXR4}0*`^zB!kszvneHvrpB64p0Gl8nBo605$c(oHFS>rpBa#p)A4&>+My
zOoP7eVM#`VoS`$hcYRlmX$tSP!^MT1d+o-lYTx#*pZx-V?1Zs5te?7UC80p$)A&?v9ng8;qN!ojJpvbI$GgJ*={YGtrJMN#q
zqF&xU1vd+bMb}yd7G0(3TIkL6AIZ^ac8oscsTv@9na%Vc1K7Fb?frxVXo=O~P^D+~
zMq(upogM*zfkYg11L++7NjKi(AuKu+Y#>qaf^@^#y4+?jcTogwvzNPhlpa{N+0(M?
z5^;U8EjJ04i*5G%y%3&gn>{@ZW}7|TVukA%c%Mg(efEx9tR$2I8|{zMHf>38rR>&t
zx{^wk%dms_Qi&}MVZ%U5T>!&3#~-aAEZjX+Ne{F4RPD!PsUDBn)*`rq@kIFVWccq?
z_^$;2eZTqx)RF@sI1ehA;2*EVt`NjQCm87H_XDZkbiE%a!7;N7?{L7m54-Tr1u!`L
zLec>y18tc)l9}tfAEwwc@!}lFvg`W-s2U&=smTnY
z(!;Fh%^v)8*E4X}oom)}AvA05NaTRnpL_5TrervNy}zFH?2xWOLXgX|lO{!4Klews
z!>())b~!>QHd{Qq{{!f{4p3q_XPv_*k#!EA2IJX{&P+9eE+{=IwRe_%F#}BRzTMR)
zfg@rAnYpEOtUj@uGm*8&;3_(Po}u@rkHGD56YVO$tX66}s%`!OSI*-u-5LIg7tEb~
zCLYjiPgVF`xn6^9yp;)g0<(=k$EM&^ru=B80;Ow5qRFv|Sw6yf=IPKXSM;=z4~B~9(iYnyw3IyT2Odv;=pgBUG}1^Yveo|
zy4do8?o-N%3ExD!FI6`WxDJt8l16ejjZ>40saVeY_?M{xCs>ehVtt%IBkzgUH8%LJ
z6J8A8IN`Ow+F}a98}Y;J#o4x2dN|)D8t*>P%ToNlYs91JnvG`?n<|DSwxR~*`Va#~I2H(XDhHo&#
zYp=dxYo!O4h{g-C@~3zIjiY`t>v=2ZG1_ZjZ9Z17#YVfbOZIp5Yw54;hL
z7vjwlF<-JVWq&M^3=uy}W{lao;bO*hVa%Ae!FMr(;Tz1@_e|LZcrx*SrVV}%Y!J;B
zVgqcG9?^Uu_8giD;@J2j
zW|S1AksQ)r-8TQ6d0anWpC6lq~l;pk6)-@MrYo!O~iN*^t
z@7V6^GB)-dX{#>zXD>7vxb&r#QQpPCMf5@LQR^rhd=~>5zQMp8p595ec6wl;Xuc2&
zkF+hH*_d~TSy8er{n}*MlWZMzG3=}`hCRgw-^DP7AIh++ZSC~HFwuM=hV|jDzGv8a
z(+hPC-`n;7Vi@jbfDd6KjKw!?>@ncHpAjSWRrlcUZQKQXtss-=h4Fd+-QUu
zwi@-RIZU&)vsT%K>8|UrdGIN-GjniJG+aK@uE44L8`bu&K0;JhFa8*G6E?Se1pfq_
zUs=9q_5=_MKE${#$nAFjjAD@QcDpYkUdvf&`gXhB`No!q;FNACZFriLhsaN9J1EoX
zXL&=MGjG~|c*vojR`^?}Ywi={BNIO+ATUkNrbHJ-mc4L6H`gtGnV)HVnbCfpss;AY
z#Y+LUn;^V#P7x$?l2nyg4|b^1H9510DQQp!pcDKlSPN`dw-(*U7P;l`haS0sdh!;u
zf1#?*ThKb|DBhRces(!;s09m(SxR|}ZIcpcfDLY-jpe@E6d}iMl5;$A;^s38{yG9;
z6?{?T7ku|EURym_BAHq6H+!n;f*&6Xl>;scyaKAb3BrP}2$B(eRbmxdDDXGXHpr+nIn^k)=~gAxaoA=v3yC_#u5zo$!%oE=^+ppN47_zu
zY=6YN%Cvirx~PS3N6(#}Zn~v_)#7;s#Htpe$g38Mi7s-E$G;T2DWd-d52l)Gyv|d#
zh-$nMV7rOJs-cLIQ4LjMRSi{oS-&Mj(X-Qc(4b<7cbJOZ>S0r$ik(9{q|7lz`d+<`
zEB-B5U-5LpEi0@*4-yco0*NB80#SNMb^tA@B7fq+Qd6FP_f##SJU;{2Zi2A#D1u~^
zN0nHWN0qKYFBbh(s}#JiJI;m_<-&sg~D|Ic#l8?>i%6~A7rBZ7t)EE1=jw@j-KV!ez`@H2P*kfF_j#>
zriVIiacBLn6A-KZi=v|X|2z+tn*QJFsaiz;?*Q0tg0TK8f@Jhxm00y(mEN{@NR^V6
z&R&8LSOBC^m<71eBNBlY;74-DZ4zEoZyxtc_zG@?hm@F4|AOZ2#D1li6Xx}az~|4@L;LgqvJhQi`b)+0Cp~WqzIC+N25f^YOxEh51)0NYIv9#IuRG7_vxtP-qBAK8V;iR5;x
z0TPQ)!X$Q!hiHKkd%arZa9)f)gP|-+L2<@LUKfGvZ^mkgxrvN2MA!s9IqD%DNQpr*
z+L8nL7Eedr++}fpBLT6ByD0LCyEmP~2R(Rd0{=cw)gl7_A%N{B2@AX;Nk-sRiB;fL
z=|!o#m}zM4O+FGG=_623E5tQSt?u@)CQz-K$tjztgcqi$g-HBCqXFJpg=_HRA`XmH
z3|f*LN@a7gDVu(3ht*AgrN~bT_e&26+|tDg_cH=wRX9=PS2(1QoU-jtKTJFic)8n?
z(-dy8r)m*}8v@vFlCZ)ll4KN4l~@%{m2SfkW^i(&sM{HEL!g-0r!d9*u}3Nc6>~cs
zph{*MNLoxH(1hrWbkgWTxjd>FmE_n(TV`NA2R13%7i0YAw$Am)s$14r{hmZXtm-F<
zyz1v!-n_ztrKWsaJXMP*-&FwHO%PT-MUag0sS>O5snV^3kdQ>>1_B-w4e<|Cv?qAj
z6{u+EB?se7ZIg$u)F9ZdmfNtIcd}W=5wQiSgQy5yE1
zR;fD(h*hOTQBjq8qX$b(rSA4rEuvEQ0BkowSfvy}GAgA?tSY5SM^U8$#30d@&@Vv|
zu+=a{xZOkKKt*_3a^BFV2#u(+yD~o8hAU5jLXe8D-l}1iZP=69-UU&7p(8D;UL>t3
zz0h7M5|XF)HBS%SV!(RwB?4mA3sF>5FMj61Qqzkcd#V=Ei=P8*H$hl06hSh2p-QZJ
zp-RuT>qTCvP(1Dw1O!@xIE87=KY3UXs5N!Vc~EU8wO;wd;Jm?*QE81gYuoY6$gXN_
zyc*Fplen9i!Hh=d%|Wfn^6XSw4lr>2G+ZJ~HLXis)?=qUi?Ws}29T1ic!hhK;+82^
zvXcmiRmnt=SINW-iqW=Br=H}&Q&Y1ic&ZjrvvUBpnB~xE5rGp3JL#gv41U^T&7LmPF|f)+4bJLB+vjMggxF)#
zs>Al9$E*$ZLd8td;&u1c*2B#R4Kw$a)GI=r}v7*=>8
z9x4N&;uvVMZ`P{g>2vC=-RakgQKZ)&_4L;*#H`mJA|O`17DdJN`b!=>HNE~PPt_uN
z{S|=iCJF1cB1uNCRf$!vRp~he1w^sAQxp>D5n>glM<4JoAyAJ_NoPmpt>yH32l~61
z8Pzr+%#rQ%kXQD>LmeU@Rvi#U#dY8$51yJ1M4qZebl?<#ol6H4NisU1N~}7dN{_O0
zIT7tH6+mJUMwrAd^^hzhvCbo`G8^gla-3r2>?L>@JZIvH&xr%C_h?76!J1QYoBOnP
z9hJC-#{%_Rk&p&~T8^%B){;r2tLMbJmaFlm^}5U3tjxfOR)OR-6wLt-xXgDONdH*N
zY@?3SkeA%p3HKZ9sO^N{4=zj0G;qE5_tUPokj6+}V>@fI8fiQU_o1rr~&3
z4w+!VMVaWc;2J4*Sa^+hin1iYugrlg3-Db?iTnb*KhD@_T(Q`1u=b+d#OCcDYzi1(
zZZDVlz0ZRN7&OY7_!fUXnOg^m*Jn=46r#*z`O~E6gE>%S{(b?f2JrXXEp+04Q?m(&
z(;%bhhQ{pFL{x`eK07My;s4LeLmWy0dqpyM|$~8q#gUL0u8fUy?up?j`=DNLS5!IpeG1HX9i~nLSCwq!1
z@L9&er{T0uv>RyzV(hS&V!Bp`Jv_B>nX!pZqH@Y8ae|J2$W8S!ozy^cP}zc*5<@dw
zA>TSPO&w&?UnH6`Un(7@!TJJ_EnU1#U!)W-fukAmQuwE0NdQ#+4JgP41z}-wOqxB+
zrkOefko}{WfXr{7-63R#XX1wgVOH`b*&V#k88uyaQ^#~If>A_OH6`ci!1wgcTF(4T
z*IGWX2vvL-AOmuBB~|ZtR;is9B%D|`1sZv?O5JLMe_!#D0C^xnz(
zQd=uM+(alE?>-KuvPyMf3G7mHCHnH+LGw0SXI$4qzBP;`@3+Bsv4r7=vE-AsR(fEG
zXuJ?hj<5`ZYy%8Mhg2@wU`aJV-BWK(rT>ntmo8p?BaBx+wZV7sis2i)%5fv^|Jd5;
zfm@>aV%)NLCsuA5^%S?vwCABC30wRc%b3^$8$`2(*ibxA*zvZ`
zxR`M)eUO_OBR2RhW-xq%8Q!sEovoD~SRxuP#FBpI3EOJxmWw%;g)ygWgYRMv!#9|d
z!&h$D+UbEkqWMDX>3g2A=iB<`;?b>PJbJkezKcf;-{6r~f$p)j(gTM?Fi+Tr
zY&~)Dup_kvG3|I_Qf{%F7`2egMB%ih26Gx
zdSIbwz7Pusn`-JMwvM_O_JS~m-ED*KVi>~@W!T$o?exGf(R?9>^&!>N{kGn?xbm?u
zt~_Xi@8Sx>59P{3wsv~pifBHNEB@-7YARX!jjw=!`U0hzIzsFc8Z{PzJ4>3C$%)4J
zd_1>kA58od$MDx!p3Y>NItOs>L#C-^uLH-0GffFHP@1E2ks^?i$(w0v%VyYl(LK`?
zUev7}HlVyyc~ede0<>~F;-jJCK;fhCPf+funKjkMbY)Eox&=op9xC
z0~~Cv8692I5^rYa){H~qi#6it#pul3I;_xc;vRF@u&Qc}Vy#iGWfPC;am16u8P(bC
z+P2tNUNjjQD`9xvKXs1{Y&hXNId)W(@t^_=#y%)hm7ETqiaB`?D#3$hw
z$6dS#1j)*sD}g)48W)o2^5$%1Bx+R~yVR+iNl+7654ZW?vG!KGQl20|X*b5JWqiGo
z@4A)iXM+NtQ0B3MGLPw%GD{4~#CL03%H=k5@7D97&1JmE0(L=(4Idy>`YVMjZ3#Lb
zFimglNN--?{hb@IQ_I=-_bp}GlX-7Sa%Ew+^jNZ@ks-=@9!qUvk(=-3{ui_FWl!Jr
z{g;P9U2A@{Z3F~poXw9WiY&XAgYu*8^k9j@AE$|Gd8+CgQak(2%*_X+iQ0_>_%g`j
z^W*oyU>j!%!so9PK{97gREc$~swy1~6adB4PUx4QY}l$ko^^MJaMZ8D7uR}-jQn_5
zxFc6lRd;r@r}v&6&A9wf-2(*{QyYwUbHS%HL(<8SLG7xu*_h6~1#z#F>b=8RPgvtS`aX(ad6NFVm5hSA;s>G@qs`N6vpF>>^=FXj$OF9zW
z={smp6~sGCx$gC_DNwog)=X^w-luPg5(JL6u>gQl7dwCo@c!^z&&yKgXEgrT!A
z?Sa~255v^ppBpDS{B~}$wrKblAgko$b{98~BY&lFdUgRNk
zplbXtO0W1m4`tjU#9H-j0%FxFQRLMs&yBwS<-t<0GCHM7
ztU9Gi_l|UiiJtBq_<-&sg~D|I8yBm
zYWjbkr)m-XzW`vn3BvlX2$Io%RbthDRl1jCGfWJ?UV;!<0Hjfv1z713i9ieR$MlMg
zsYY|UJR=v)x}{gV*+X}?DzR;uBOq4WB8vRB#hnc5r5-Fb+wvk$)grcK9$>o(!nQ>b
zBx74tiPg5q(m$qG{9}5>OcK@M7{w#ZtnTz^L!en5e0s&tco250AKRn*35eAmi6Xx}
zaxYnZ+k>TMkG|olTErfG7ht;y!uCiJBx8?MiPavdQeV=<#0l}$1n&T$hKcdVJwyx?
z8V;of=2;%E(uly$w;s&u}ZKi?Up<-
zk=$-IKw=R}n8ZH9L$pAN-Fwq3PIx-%<}MrT8wiM1+(nUB+`X$Va~?c3f#2z=T14QV
z39#KHVUw*$k`Z`SVikB*+Q&?YiH`IUD5w?U8m3m;Jgf;+tKY};itqH0z%5;@aBn9d
zR)rHqeueX;SG?bYr>1Zp_f##SaGwI$Zj!LVDUxIqPL)^{PL&Qg>tUjV18xWu6Z;gV
zn1A76VW48}z3CNy=jo_h)>!?1OF*pZCyKo4=UI$7;?LbqsHS|6@Ki0Ld`AInH$hnW
z6hSh|r%J5Kr%DHs|1eRxfq(}^L;S-O?O~7n1uEL!kY4d(j|93Uh*jzW0%BDuQB+i=
zZt!5Ksnj-4)gmgj9bmf&!YZW*l2IvDVpS^s#_jdLFNgFRY62iQ3ZLs2TM&s{=!qWh=Tkz
zz;+Xa6+{svqadopsvxSgV0y$vUkU;O^+BA%)aNB076hu#A8=~7A9yI~7Dm?2?-CHJ
zc8Vgec6uWqzxCj$>F2|qszvnke*m_dB&?r`BpLlwC06}ZrF%;vwM5bP7L34RAeF)_
z#rnz?)oW2yT(2+i;Hl~LMo-ludVLYVc9VqlT9G89
z*Q&&-*Q&H=LbgO7i$VfDLaf5{=rj)#0`+L1sokFK!PU)h)`4dd5UUP|qT)I*@4-{k
zftPry7SVy118g@*SO*kIGCH72tU91dyJT)lM7v7`kXVEfCb7FcB+E#w^Zcz$?RI&N
zBTSqp1`n<0%oB4iRgJyp>s2Z@dAfW{r46ZuTl0#9bfV#FIl9g#>%WY2^_;BN?y$JT
zNbLsaui9lucLKL$s9Z_u
zUMp~{2Mr(!ar$U~J()uaiPvXN%Oq;dWckzN@1`6mGJns5ssa3cthf$G^tw0)cJKPPGZPv>C=bvye&E!ay_UP12ReVL20?~V>w9bk&tP2t?25|?Z
z>S}M4u+r%BzLXf6gKM57VeeKDI@1er`IpwWOop(|QC14E%`>uO9UyB`p?N#2Sq4@j
zd0|rTbEIb`&73KxK5O|vSDaKhazbEj>n!5$+}K)4_7IQ=DXWKD_8v0`6|UkLE`&?Fbi~*;v>?=W4`M>iV1>gyB_~FAl!$0
z6jvdm_#Q<;1G=;Cok)&6_b9$=3*PpI_w=brPpdXPJ0txuGj&GK9%{|9p>%5@EO8_kJYz1*&}qU%oI7L}(OFxT2uYgYjr
zCMm8p>SeeW5I<-(W-870TvV=4C~u1pylyRwhayAcd;F+BbjvFx@(Zx)%4t6UB
zc3ibUw-K7I+ug@DwBmR#-k67YNN2tm?|Q20z87x``LhvSOcIqQDwAcHe2SY|SK96u
z64h&UnA^flvtW|(#!$>C4%g?-z#X#f$^<)o#%_wm^qn-#{7X@Z#Qfc!j=8zYbKG|j
z5UZGrBCnWxS7|@(!BZ3T`#n{4L62Vyl>=_W`z%yEukROw?S%vd(3v6PD#*W`f8!5efGat3cUQPsXJ
zVr-Rej!!wuo`*`m8Hnx{f^V*0z!8I&#Ka+g3)C&BiqN({ka0Tzhb}(e+O}
zesz6zzriNr)^ErlidQ1Z0vzb!cxw)R$cP_Rb&KMg!1e+jd4bf
zvxSgr7tCk*(SzNwb9J~uaz~}j7r`fUf3cb&XFhUT
z)8{3PPvz(=yL+GTR1FZd%#y}u0Cp}p`zRrS+7LZ-%gdtF`m`!t9Y$Iu0G+@O!O&ov
zy1{c=C(?nx^AHlpUN(3rU_m>O)dVd0g@C6~76%VSxTZm#UwW
zFX9zILL^72`p@!RXQ;A!yfQ-*SvfD!Unwo5k#;Qt$mK|I;JW%C5NA|ryi
zDng1pFS7HQ_a+6-Recc=Ycl{>s{X3_YeR}99sbpzL;Pd}gX)m1ohj~sAvMI%MBq|4
z0`U?!&=D_%f2?TyrVASJjhR*X?m7cYdXw#P6UN8+&Z%S5jfq*f2_~IgN0FDLdcLz5
zKB`U3Q!l%&2PBe`Sq~^dzk6K|s4j_bgZ@$5sId=Jm+w(Yq-gPJ%t&u4r$?PvZdF?A
zqIF~>*WIv5D(np;vn7z1rCcQ$dXrbc@m5M^3}3c$co)F&Yc!dN{{&%(g@t7bgQPt&
z54S*_bWFMwzXiYuGk?I$+-i%Z$FcR*Pzf-7mIZ=7D43FCcsG9rpLUj_XwJ=4K;A?{
zwt&*Ea#560mN17AEHKKq`g33kc;W@Q>P6|b`?B<*Frr`O*Mm$
zV6TnTRHtpg!8XFpIm-68WW>Hnn{Qf?&}uc^4f;kItoY5?{&4&zMnewIrqQ(ZVU?{9
zrt6UUOz!%SY6XN)M%Mh0eU4?S^ESWZ1Au_=J3fd{slJ6f8wp+he|ujZCs$GJAILrl2?Pks1ZV`w0Fy}w
zggqc60YYGaBrLK`dS-fN`le@k>?O&tC@P>}`}7B+$P@PkaX|$)Tu?#WMMZglB8vP3
zl_&1Ylc)Z^=hSkm?yb9ZPZob4=8rSC@2%z3Ij2sYI(4eb`#BY38yk(iB2gDQKJvTG
zv){*Kn8F%y;pxqW{h}>3Sm7K_=#Vrq0NPP1)}>r_bdB|ihE4Z@wn%0(;Q&YVvG}$-GGxTJ&F}7#3DzysQ~9&%
z@A8+8^)U`4VzEAwGo-#-dX=mExKJQjz7+~Ih4h(fhWKH(Vx6m&(;&Wilc0^=tM$>*
zG7j^>^^}#`%j#tWd5qsc*2Qs13pFMxw+AY-1g8ikCzpXh&Q8{>$=?xW@(0zUZ}k5W
z5^tMs)O2~7s*haA=>Hb-wQBTJ-DDb((Z3^&5IhO^4v-TDn)e#R+7@1m4#N}ulE5S&
zFzyFQ-?chmM5LZ8Tn~XZr}*|<;W#x{Xs&*HO7VZFDlyzF$y#1u=5e#58)ln%yund|
z*#T|wwPqe~L)Ppwk5?j>n0b(dikU}tGEhH~6O
z!SD^yh{@!ep5^ZZXU!03v`s<+-6qin7G^H9DGC|=`UFHZKZ3Tk5ytwt#1kw^0WXRm(
zoHRaU?nIu11j9Z9J%as9q@snVSkc7UQBurtj`~2n+KA__>?BLL5N9V5pAtJsLJa8Y
z1S}14KP@4tDem5`NbK@tva8d(mYtTqQ{G#H(M&zKQnPjzM!`$Y*P&M5Y$@tii-LC1=U!GSzp6pl|#9mTw^*oTD>u?sTa2g!HQ
z#@zvur^~NQXiPl6We2#L3vqS;@hPzbOi4Oa_00)*8eQP#gru!>fw!RSc#_C2ph*(y
z0{V-y3+S&$uWwEa{Jzj^3Fs7rMYc|HMFP=7og#L4Q9*`}r5Isk_yk#X39|xE#*00W
zqEs0^p-fn1g*WYmKPEpqS{id~zl?C0=7tNkp>jWb@tpw!Dk4J{R}k>XhtQ8+#cv!O
zTW|+fZVDykg7t*sZ1(1
zYy-|%5|9xgiarIJ`O%M}N5ylSSs6fadJV|yN#jlFr4
zlXmNgxhcJ9ss=5q-pM2l?cQ?wmnx!%XocnF9k63F-;S3Jac;hwU?0X>5}kB=@6I8#
z7AOHjF7F=0MIh$khMV_HRw=olYl7c)oz0q^f>im5H$@mXOr6
zNwaz(UQXmPw&sP&Cv8$qzK~6-zc_7D{q^8f0-}l3NS7Y!f@(0;MXYhizK0D71SQ%_
z%aHm?O3U!96s1bbP$>pw8OEZlqDa&zpu283a@G4kz#%TMmcEM+lKbh2LrC~36hgw*
zUzVdy)UuKGjyllW6$6=yg0f-(MPMy`7TA4HW5-V+>?S0zcJ4a8YhJ|9HiC}CV1l8j
z0NbmwT9(=_ZzjMtgcb)WRFb~k^NUymb8aCYfI>PTBra$$IyC$<9O{
ze~l1v`LpWickX
zNn<n#9DoNlRktR+r59vij|Bf
z+ez2Cu(r(|Q)Gxea$B_O-msIj;zPfu(o@l%wYBrtBpPC9U%JlQ#B
zOVa#6*OgfU3!YiFAiYEu(J_)AF7OT`oI+b17^qjVJF2IzTo@QA_7$;_TYkeHHtgx{
ztM$~%t?WlyOp=k=4|BNA)fmWb2J%Liq-{uY5l96pPSkFrlQibpZ5hAS-f}9&wq+XA
zwGasPu7B%($Y#u0@ff5qV_bOHyNQlzQiyofp~GG$o~g@{U#-RBDfCq>R)`;Vb9>R;
z;5Ze#RD3ySNWBAQ)Kz}m4j5T}wjD4pchz!Q_8l;ya$66Y3N)||ezBm1wTWuqXszI4
z(4NlZienL9Z5H0*YW%^$#*^;fOYHNxS)hF=e(4QvJ1tjr;>j-meXjE3SSZWS#=^T@
zwKTy(QF%)&+%>4YU5uM$BvPca-q}R_wySw@O!|5@CjH1&ejJlz`PrECOIIyTFiBLN
zkx9wPX9@XsD&S^!njH|e(@c(l{syyd5XUyksn1DAw~te30(l7XwK{>Mx=|ZDy0_hs
zFC28JI+aU%eqf?l?)3_NwbV1f_7B^pkUayOt7d>^srJ~psH$R*}%BmrX1rW!}mCnsauSR{y5X(nAOkxov!_NK?+
zr0Wb3LV&QNe6F`x?i(r$7yI%h9mk(LyN-A!9D0khB#MKyABzqtmqs~4Q`jhnO|BNaL(~o898wo9sXS9_32e=TYWNgpg>GHJZtd
zzC*QV>pS-)5IbYv`JFNU;%$JPIcUYsoChvgFk&v_%8o#0y8c!jGsTwPO
z*o}Ns0_H8yne?-&TGN?d+9iP?w?MT`N-O@UFjpJ^g@XZ_aTI
zT1a6GTYTSE#(~SOBYN-(*W_!##%I#E$sZ_P?b-H&aJxsG$!7Y@O%O!tHrBKub|#|s
zyN;wVsN}8&nq((9WYm7wi&K;;cQq)Ff^vB@z2Ef&oN3ad?J;vMZ=|N6^;?ZP}}QG%1$nd_$Y@KMV^PsY<5w^V_!ILuswxnDAq+J
zRoEB$52?ZvgWFcFE6{Pca)Uk33P+lA$v~f+?NSJ%rZ+B{9eqzhm~_$d9)n*7Ax;;7_>|}ZNa4q8Bw$MTNH6vc2}w;uKdTq}KZpp%hS@Mtq#HmJC1mL9
zFHS>We{IGSrkTgS2UoGuF4qm2R@T(0!ylJ@R;0YWl3?gE96IPxoIdU52bDQ#|A`Xp&
zt55mqldf%=ZC0q~$JR@`?LSS?cG-;|Pe^KZ8}D669PR!NUEK5}lBeo6k1`U_CC<*F
zzaG~-p*4LPEfj)rmT<||RUYQH+2(j~#F1Tvh?8m5UUnCt2S`Yz&v5Bw;eI4+o*_ERu2P6=$~?P
zgP3GXoH&v;dRFW$2Ng*nH@%hXbSfZ~32ScUTB&nwf9kZni|Yd2nCy|yJ|VpGsTe!*
zS+fU9))qyr8F|#~kH;WI7y2!YMz9A%}zDdMsungh7ZTzZP%X4
z)2dS>CljZ)#|A?3v=(sgc;aX*Rtc$t_HK}vr~$~D7&MMhL3`QiwZr-xEGiiW()kg$x(ti(%W)r8CLH^*6e|Q*CLmgn~~^=z`yj(CmWro
zEep1<=45Fl8A&jGcvJXYNGGEOucyagv|#N0P*vqM=9}VlKwzdkT3vddqx##udn6i4
zx??RpZo^AlZAfL6sXh&}N9%YyW2y~X-va`|^!YwLv0=tf5vGqPFm7eT))D8A6tP)u
zICvdImOG^)iik9qgp!ZFQ!1iJbfT!6ev}hGooR?L|qIKk>7Ra<`H4~$Ap4$_v|!FDlRnB3CL^-m8KY5j8B4G!JZl*l3HDUf+)K{ny(YKtzg(mG8yDhSY8Ia?Jq}Jl@7kNCf@i$S`JI1qh0xSV$!u=#_VHwH%f;zA
z2}w!CEIGTtdgb(tfyZ!ZnK=(6!ZU*e_c
zKPN~S$&rk!`~xSA-;T9C?vy$+K|12OD?7<)T!^!ih);=~BwMIt5{oty8=)f#{)55j(u782jI*7-3`t2U&FqvjP=k|Kk*;${2fP!YV7g
z=@|RSJEbCK^3iunMPyKS99c)^htQ9XB4`{OTW||^O10f(3zNM}lg61lO_#78uAYe{
zi*U)?j%DM9m4GvLm~L<3D6)Vv*8cz{D)Z}(%=4QAL4x4?Cf2RFpCf~5#08wk`=m@R
zJ%2t&yuFDzEk(O$_xv^Xi|2~%RUzFYoq|5zp*Vz{(2i!Eg6xU(IOP3wBBTs?7o_1;
z*2zRA_CO?@JbyYu-re^}!S&F@O;YDjdDsmWeT!7aa7y>+r_N=MrL+mtz?
z%l5fHDqdWqm*`xdN8xbz3HDbEp{`(m4vHzl-*Fqc!XHzXuA?a!2SX?)#v9f7j91BbZ#qv*Q`7kP}HI9!CELg6B8>1B!IRZB$L6Y4s*ae*2v^dwT%@fW6~kRenQ>;i3&lPb9Y>;
zJBI!=^k?hBGS&8HU~l+s_jaLT0wE|f4P=FH*?6P%6)W`x@mQn?xpm=U&j$95mKdH1
z1kMxQ#Y!$ySX*ajs1#~DivPlH-BPqJXkx@p8M-(_>a&Gk;wnEb5<-@rEfS*JRZA0*
z5Tf#E%^jEz9VTco&pf1eR=?ldU7VT9-xXWrFPkTWuGYkzL)$0tNE@9}cak6v;v4iL~2AFoBab3M}sBKfg`K2t8Hyzpin7{^c9ZJ
z4b^I+)#Dd0M(6D+R|Xev9;JgGYd9WmaeWl$KlWD_FI{rPvc*e|T1-VOq6q4It=cu(
zKOj^;W~M7901rRlXkvmatWSj1lc`*2UM%-n&p=Yl^n|?};Y0HNIN86EK!kF1
z#IM+QDpS-y>X#4x#r{SeB*mSP(n*WSIzZ7kU8NrOU)YjzNJ3LhpNOpji3rlA^dc_A
z=~5D(tPw;|zz$|fIQjR41S|;`=_EQfA*neOWOWiPN7?ZNkxn8_kdTu|e{njA^w)i3
z*sU4Zh)ae3Or@FQc(i#(8ej-H4oDy#(OCwbEa0T^VthQ??YWNLa=FB3lwz}ctx_*^
z<~A2grQ9g??ACIeW{`I87DvQjfSZTZF#?uQrSg#ivAZokO1X_P_3bg)uSO(T>QZ=&V
zg7{Kx*#v$#fw&=okL^Qhb$y={rAogljUNePu3BB6nxa(cS5h`IPH3Wps{oiC)njHmHb!_X(Y$7b=p+(7uIpKq1>V$@Dz60
zr3D;^A*5s0)DO_r2FmOxj`SC{D3{^iRkIs&f>n#@N$|B6J?^E?fa0b+*#=db1@@C#IxdRY{-m(=;lPmO
zV7J20h%#wb(04yw9x=`eAx8>9Z#Z^-)3V_$Mb%KyOXwe}QhLemP$u6&7+%rd&b@{S
zv`AtNze{-edZJHrTSZI?xJCkmQFD(|2`|k`|;1
z(gX=vS^A69%JRPop6Y(5lr*{?r7^o+tRcgbfprNaA?ishh9ohi6>~BtO%D2)zP3=S
zS4Q;N+4{F`91qbSOo61Fs^5;J8M@2-Zs@ngYYK36;hZy4c{t*%*srYmsLvX`MpOzg
z<8y>c20hsBeI`XaB{Qg<6U>ZRf*E|mn<9YqPPdww@>mLFB~$*3D3M-=wb6|6svK?x
zQErd$L32V?BL$DNSuBeC8|r+!+*_K5Qb=l@1kU?iEj>_hvZYZ#deFP
zd@6pV$k3ugR!*A4$!qxv4CQfIUxp?ntCMFE7+|Oq5{gU`99z3OG)@iU%J_)SB!f+q
zainF`5zWEU5_4!AeHY;z$AD!b*o2=#;T${#lEEfTM@0L!e>L5F?V#lO8q}~A|D0v6
zHs4_j12fhm9Yg*UtxZqSw9+?U*}{J=C>gCm(@f3I(j_!DZ=b0dn#mKA+2&gK&XO{b
zQ*<>Wl2aVN8Q$g8A}(WNN5DlMhntEt|0@0GH8rFD|0JljzknP4yX3D(qf
zM_X!g=|TV2wBh0I&8Q~jMCWG0NHZ0=;wL)$*bMB?*Yc8!%65rKp^<2$r0#2sctgsH>dZESv&
zfQ@PDWSpHf1U{yzb2VzSC#-UQ_FoBTkoKWvlpiFgQ!^(bUM5b*TP@Q6tGcjKI`NsL
zsiPF7=B2~b`6bYei>syY!ql1bX=Up0)7CL{*gZW`AMP0~)4h1<%$<1mv|m~aCeOb1
z*yxw(Fnibq?Wa&GD)`#&5DP)w*36%SbP3zRGi^4vbrZ;MinokfwarYRfS1>3Riu~K
z$2DXI?GM~1zzjMI#V9jKkb_6{oaA?+8MKcwgV3B_goMKc61_{CKrtz_lzJCaeeK>w
zvRb8ylFgrO@9{PGCZnUy_ldPNO`u^^lhOq82%`m3z9ZsHjJ-;`b_bZJ)Jph+W?3Wr
z4GesFMh3QfSEgu{v~#FcDM!CSPCDUs&TT1>m3GdpNSc8K+BfYsa~v+Jk0;>Lij~9F
znMTffROU2tK9YciGIBncoK6`zM7d0Cj<;8&k)t}PQZ4bBq>-c4pk}1Q$oV4BjWcrS
zyD)NoK~KDSh@ZBOk;DF+ECx=zKSz|*f^ie@=P1lr!-V`fsy4CQ&i)+vO6wh-Z~POK
zY|WtgyDnin_;XYW_Ytd1Db3zVHLcP*LT5yXLZZ!!JLuw1iXdrBY^sZ(MMB5h3rW+kyG
z-D34AgwX;i)5!+R+_P{Cxx@Ahz1PfYgg$|D=V#oE>_NG>*RBz2>$tXRjnd-1)-VD6sEE)PPESb;K6I(L;v~?_*MYLa}
zhho;#d1_u1xiF;*YQc`#(|6M7;vD{&nfjxeLm6-E4)8FD7(Gs;S(N&|E}^k$n=VQj
zjcnb9@mt|NMGe|!Hq7o0mPRj0`Dlhrm~R8^2{2*)j$)JvBPhY6^MjJhi6+dPwdgQ<
zqldO!g0Hm{dNb|;x!b*I^e>aavi+ouDKc3i?6g;shfQ@|qS|!0HeakFhFQ~vho^Sb
zkT~!WA-+LzMBIva%DNS+S8E=MS(0N+^}cRg6x-M}SfbKB
z;SY8rk4(`>8Gg4UA!&x;I&@9qGL&r&);rVhd$0|P!%@*C#5FzbUMC}g2p4ByoBld~
zwVRr{@r|ey=nYhg*&EEkIW#8o0?wg~RjjX4nFb^(DNTbtQ&BKvIvw~(UR-1
z2+jZwaTWo67Z$-LdSZ)!pSF%gu!OElSDW3^83iwnGz!eJTCfYKuae%y##Xb$4uxho
za%HxePW4p#r503HMQ;FYO^LK6Esde@I$c8co38Y}`XIU-35@k}|e;76iWS
zZN|OW-=Glu7dGwQkCq43c_?U*wo$G=51eiPDCeq0W96<~o++Ry{fi;q7?(DWsZZJ??O@Opc2gU=w%5O=Qnu(md>wChVt4wtMD|<}3N(DsRT8?HEe;%sn^oUK5Me
z&u>s`unPs~qxKm5nh;#zJx%}i3t2*q8K+?~=hs|R`>nixPzK@j_0wo9#OHSJU&)Bj
zE)Z4yWN`WUz##?uvs->SB!xPp(3!9)YH5rD123m)^xh
zl`j0O8mT+ziAQRFiXEx#T7pcM=&6H7fSx`G%Ffs!cA8G@E9I+I*G0+aVpEZ@BbI6G
z_$h?lgdAZuM~~U!YTw3wQC5QZZb!2k*AZu4eb)7eyEwC5M;ySK2alM`{k)Z+CH1PN
zFC^}!0#Z#3<)}FHL-e^dI#>2sk%^~I%U2R#rkf)MLc5>GpONO1!n>4;q2b<-Vb%L4bnTbdc$TON53KSS~|
z(Z1Oya4qqwEq#Si3N=oB@9-OCRcf@c90`qi>fYf%!S=<%Z>2KC&^%Ko4ERdkMkEd_
z>}0z+_*O>==5S*RkLhdhZb#Pa2Q>lGDD0^uua(Vxd-WF
zP}1w^kqr|g&}S(`s+!|rnD?m_lt@)^oJOuTRLE(YHHX8{>m`57ZZlc667%jOY}&mq
zNu-oO+Pc(axHP)G(_JmHt&2c5Wi_dO2D3!#UOQu|tAZZ^0>U(Tl%Cjd;-?7HL}E;e
zzS(0G!d|<^0eWBz9Fibihye$NVWM1}bzwl))RKv!@!}yb=4^(2v{fUsbPN}&)%>92
zAlEi6t~oVzF<)tE<0118sYT7SU7pjq8ao8xTDD$x`kYV$?j9F!z4*lNCQ&f~>*X1u
zl^7Yq5^FPKZafw#>=zd<_6e`krQEP+*q$W&ljTUVKEV#tzwHJbj0OZpxL7w*&XK`X
zQ~@{Af|SXn8_7wHX18%25_O`ctqJ^NHHq=|fK0=sJea~qEo9C868T!S=BRFE&29G{
z%J$r|)D6=3t4<8qbDF$DrR$$U?`pNkQ_$2V-vxo5W}AG=l*y+nOI^2Z73QfL(f2#E
zloc=>`y67Q&2a2-lwkHVTTU&*aTr;%8;<88moOYj6ouiKjRb~mxnoE$$xIsS@)bxY
zt;==v7_=^PdVY|@@dwpHKiinA7oU@3k@j~*CMVR|*LyA1)b3p`D|C-zCdZZK_-pEy
z;vQxnTiXB(WK))->d~+q^|)teOl3K~4JZrC@$K})mLoq!S&jnZRxHOQeWgNvq(0iy
zTQ8PG>L>iYu!^gOw8V5Ow>k!EG7b|>vzgi$`+0^-T
ztcb*$I(O^5jcQhdxu=Kjv+n6hS|5|7=yH%mp6BoHZr|ORNGM$AH{D^_`2DJGj?-tA
z!rt-;;yplx@j{ig^?Z)aMu*wuO3`6oxiwQ4qAYsjjoqflfkq}1>`~5;`W*dVyUJgN
zRla;sO>~H*KUx0q=DMUfc|(qju46d<=BlNM6Wc}QwpKFn4A_@HbX4m~F6~Pv_nWmZ
z4~ViarHuQA<=26wJzyJ#rH@m{u)GubS~V=GZfRIbiD&EXV|bm)y6adWRBtYivr4s=
z6^b|qU03LN>=T%$RdMd;$e>c%>Zi?&VgjCo(N7V_2J>zpA*pG&
zXWX*yZ6p#H2ddd5k(>23NkWII=`YThGyQd0bCRGb)@ZT-5RY&$)j{;AAk;y-cXk4~
zi8FHB0(Fyw$$>g@_P7+K%7`_k6O=h0i?XuIl`hu3))BGxa^Qeqp!x_O%HmpUrWC>~
z{}?^7ScyUfEg&cJ~w-p(iL5qvm_5~o*?#-ZoS*%F!K5B(3TxD}7e5vosC3e|c^L?0(9@ZgSWR}qmaTn;xe>h#5~
z@;W4b6Yf=q7_3JX7w^7?x1Cz<8kXuEMM0P6SS8;#T-G;U78M;NyYFVEq-sx0W
zSj)~0u+rgKaV814R@(ex)F@)UvfFhzPziSB*!8W8IYVmaO377zoO4B%pUt^)g{zh(
zoGYU8Xqz>B8f(xgD!Q!)hbrtDg3Gh3khsD%>(#2xF(qh1h
z{=X6$YC04?fV3eW%R^j%)5jt{O^lD_*#takCNF&~zf4HlijU0{Afk2ZZQ8H7Qzw$W?}&8sK_SJDk5kK_sWT;9jS$YVxMjIN@tGOUOIF6k$x=T(9GXoxNEHtEmmHG
zkZ$*Gl(;J;ZFjGLam7*ID=CL?!@Nc}JT{xs?TSvCdQG`u-i1nqZhtpDv2N$52;J@p
zgj;dL9MV@F?k$esqPX%%HP;~`*iE*v7DqTsyJn=+>qfq4m3~lvxlgQU(IHYrtTonf
zC1Vvu__Zecx%V-XcTg$$-V&~_tf&x|ht-D1#x&6arGC^;EgY{FKxm-7LQAc
z@D~?GcDV5@gTIVZhaGb~Lw)CucGQdg4RZwlh24BA1BUCH9H9UDY_6i18eCK_-3@of9T)JYJuVbaK2t
zlpfhoFMWDeZ*EC6*K4-9bm)NJTwn17ug)crlWSv2Er4cv
z^s_U{aO3Fx^REQD!XkSWJ+Vc`Pf-?`U`{I**fsa1ZK;jF4S<&e?5ag<4l`{ZJ9vtMISjl2nAbU>Lzwox_FN
zP`RI-E`9hy&X?*?xnAn0INCl0R@0WEN_iMx#@ZyEWu_`3aPu|zYF<`HthIro2*M2_
zqQeTj{_x%4kn1kgAMj4GG5Uno!nuzA!ayFbJUKM;v6}54!}B*$Z-D8JI&
z=omzQBsZGx+lamIie{gTMjoau)xASv@3VE0VC&({vUPd{TQ7PKM&t9Vh1>>Bq2)x1
z4Wxv|%JtmlJoE`3Dmm5Fp&`mpPMBO(he?%G_#Cuc6)LUT)wWt3f6I;Hxh5RGX{{308_|;mvU|xPC2f~kQA5g&;UPtIqM%}6!<6-AU%6Du_m(Sp?Cs<6
z1-et}#x~O6HT;B*Wi<)S3l%7pWd*vt(vQ&YDmnE?Dd#ukizusDDvGg%EMrNYHmU2N
z@O{gf@<@9oCpMO0C>!a+*ij?Hnm!Mgq0L7t1-c@YufII&nLYn%sL
z!(J}V5*$8IVyP}ncs6;8BURYzZPvhw1ukA8r83CXH1SyPo
z3>}0Zjkax}(U$dmijiX^cI0SU7j90k3kd@nJ1**n=)52$G|}6-QsNJ+FOYm2bXlC_I}pbsmqrD?}yWQ>u3!Rw
z%atCw!o8C`N1J<~jy8(vekZ0zBO7~ag)Oz^3s-F!EmwFlLsfK@#uj$w`2G!y*gT);
z%oT?*59b3)I`x6s%NJ7e9{z+J{J&>&vA;I7{MaQ+)Qh1)ad4=%{AhZEksEl)V)FG`
zxo5PLACpz&M^FMy<9aZFS10x`l&?avqFp=j>jn4eyp3(jV}FTYsuVr31}%SSyP2mf
z4{IcwT?p`->HUxj3oisb@c)HO@f$hv70dY%Nd*SFM-pcFafpOVyES*9z5CQ
z@8&8$ZYf5VpLHqb09QRtEX9cGqesUS9NI5d^E&yZb0|8_^xxR@Jl56DgTai@u|0d?
zC5HT?I78~Cv(sGV$MH*+Z}Dq)$B3g^=KN;2alH$NCU_}OYl)Y;Si_`?cQaH9)jwq*2YY-r232eP2eSVg_eOJxJ~ADnE{AvV4nYlQD-;ZQ*CT4IQpJn&6PAx+MS-#CAOencBvC$fBtCy9qX-sGyK39g9BTjI(b
z+X>-f%uJm`@y2*#v*$yuhQ+bx_H69A$5nnDdt~`Gdy-7JueoYzf<2=0me{kq!zbk8
z(HuLSVpQ<8&8?rg+8M{K$Fp(kIam2{+>+(n+)A?U{?}DY6WkJ&XXI9Lav5XjbS`cE
z7{f>4jEIae^l=Ks7=9l4T8%NJx>by!aHw&N;TQ2bRgB@WD=YcUG6*X-SjmqLQG_9_
zH)0VrxB6TWAyuyA&a5L^%2-`g(%*amx}SJU?&qkGF8Y@#GVWe#rihF?TxQ0RqCdbT
z#>y)Mw6^F(o=)wM*YS(G(+s>iw(p7GJTM2JBzO>OQFQq6I
zvFgify#0l0U!~ZK^TYDFbK$ryjR~@LwXG`@aznM+X!ZETi=_vAv4}uhEbj%%4IrL#;^&!x5-H@ZN$U7!lDA55cm@6iU6rQikwS!i
zg7#slN3wProJS{fF7G*`;exG34CKab$O*v+_+^)5t<=hwU
zikp$&b?0Nh{$&Y#VeMA06vw?DN{QHxxBJ-4ZycOPevP)LORsB)*8eKXL<-9kWH~RP
zDI{XQArVt@6g}0o(Q@Ry4s-!gZ=iq8DDfG{tOy1&
z&1}r-McnSjo|n}TKQn&wxRUu$*FQ@J^Kg`pP{JGyT9E6F6!SvSk_dollNxzNsa)?T
zy)A#QqM)DA3a-ykWSiJReJZ_OQ0ca0A>!~UDcEhG&8^8CBw)0B%iACYK`D2e@;Cb>kipMc^d}w<5iP5ttu_|M^!5cY$|!2T!GRGX{X;9p
zcz0-yWHc*UlqU;bKEv)3B>fouYeuYRTVn0K1?5Ca@`n+pCD1%MS01LAGLEaRxpKXR^>@U0Q9Q7WF4kFuG0{^g3?RZ9!D`4$Me)`V
z#FXVm3L-d6hMnPdw^{{D`E}Y;N4LTuBwulkL(l~4M64JF!GABLea7A|82e@XOE5{y
zo;U~Wyf-;ZTu*e^ryZ7odeK|4XvU5-zjx6DEqB$z(UHN0_~(rl_3Nf}9`IUD;6;tp%N3kEz_QVhd
zG_(P6j^$FFA~r5s6vlzz>?aRC0AhWe%#YQY?3Eu3*cy2qEdp
z!47YWFq^71;M=!|>9a_bE^KqIuD?)2xTrjnro*!h@d@J>>qLs)-@{d;VMV#WLp~p8
z`J@qav{FV0D#g3>86#+8r>m6W#gpz4YzaOSknP6gV*k={o~4?GdSfcoNwI&NJ|8ho
zHq|eX(XV@cqYb(m(h6wqK$s>ZnBv<6mfq9Irxc?1D=I|9pM)^`hXb>t;xRkYiP(xA+H~2gn!#<}S8OFhWH~w>w`ES;h-&E60o0}~o}KEN?(V>dVXUb+a|U>
zpet~G)oqSdb*7QIJF=XbfTrQc5GpaY^nf3O6zRi4ky@V7F%>!C8=f3fAdJg(uqJut
zH3IWe*^-n)%sALw(Hk+V*z`$zPRL{=OAUL?c?tsu2kkA#zD(NlsJ6PuohP;R|Hg`#^01tet~l`V4iYiLtzvIPoo>X1Y_N9!yB~MeFJYD-Jso(8_0#i
z-9BHfmivnAWK&&FZoKD3K)5H!Q3ekR+;;ut0w2c$0>fj#UV0p#Qo`QU{xLPuSv&4$
z85k&ej|`UoMS5;OslO{>&GxF51Sk%BrgZu>-MVdHKcIpp_b?Tf!~2&enNAqHn2C1Xzz
zonMiIr;AoZV4CTmmbNO+@gWB>j#|N)D1+hz7WNAAWLhkTOWIU%CJ?MZ9E))VT!16x
zTw!1UN3fv-2!EqUOdWwuJw;KONsLRjwRgruwL=N)>c|2~#bu$4FYsRO0k-@0$G-%x
zabO`k2U*ycbH&?z-Ztg}OvP3W~>e*ud0?D%eZ#
z$($Np^lErLbXVcMgMN3@=GjUP2N}rq;YgPw8ip)4`R)z-b=@B
zb684gO#Z_<(PAvY_AVaISFxC|xLWDsFV)2wt)6@hSJL*@>3kflNKs?tkqVd;%3(6B
zA-KU}6{#&kLv+&ml;3~RN62#G&C
zh4|WY#)Xi{)j}rYf?zH>mSpq=$>Ommt7M5G3EJ@59f5+r)a)SmKmspk2{asc=PAeC
zglQ1f|F%NOdf;K3bugh1`cA+irIb!UNrCx|zHOlD3=!BS)oBjLj+W+Fd=Ro+l0Znq
zO(`^3Z0UiqnDicv#S`Y~xo9CYYkA#-mEr+$(viAyK*6&mO^Sl
zY6~1%a)eeD`~$7m9dPfcT77~vqSK%)9}9L*Gw7nRv+V1zedy61DDMdnxiJL+A4}o`
z2#zxY2&iuMyj~tJ*Z~Ut{F=8Ajo|DdD&f}_@hB;U7h}c?qL#+Hu{KjpDR~j5V(ds}
zj*~}P;^go}COdgvy%2G~i1LHXKxFb;idBB%3miy}K$c}BKs04iFL}mvb!Xecv5e_!
z#agL=QWvgcC((NTd9{>B+i7!r^LQy+?@aJgG>#d{ye5S8FK&-!HZ>DDbVK=rY^pB<
z-jgKq?cPrV;u~D-CG*6dYaNSRKjvKVews5Tl&t7`my%33*>Hpny@k2P)W8peb9e>b
z>E7Y}K~Uy*$&@i=n8@;*g;O6&3gENUhnflo%Xj@McZNCmm(6K;BAC*~xg4FrygaFUVo9#ZFc8;n;*`~H
z#nmWUN$&c26o(B`9Vke3Kr*S!-f;rxv_Q})cBSc{w2}mUuo!p-^rF?pwfs>BCkgbs
z_)^h`CD|IW9F16%oJEB;i}uEMakI4SN*(VKbP?XTnXSuFYC#}QXwZBLg@i7y3Q<&Mq$n#Eg|#V@!tpOcN_
z;tPvGi6Sg7B{?ux*VEg5g@7Qi-4_=KOm?9a2~3q^<<+WkC%u}FCoQjR&2Ms57#H75
z6A4Flwww5oqE~fJ@n9|NsYO<0jgdqETZK#x}Xfzz38%W3e;AgcrBAZ
z<%bTzr;f|WI3L1>qM_MBG=>hx4%$(3cGQ@!&!j}jmBJ!*L4pngH&XD8pZW@gP$iR%
zN_LJLd>YfLxHzB>8?X*11b1r8>8n?;U!~R~-*-1=t2bDQE{u0KW=PLSb-b|~?h?fw
z0R-pcx(K2LLer;RK-&?je&GAu?#9f)0=CD|$ZrNX8{X?)Gj4eb9Z
z>7P>@yA`$+K`U%vs8>~@sg0@qh2Hugvd`I^uZ&<*1X3UjVHj^_VwX=}ff_ab+QyvX
z$Y{ORgVo=1KT?f1X4Y#1i;l&`2zXv#f9xq#Dmd_S2-`4lp#$hlsP@$$a+sjlrA*~g
z#vA(uz66T!9z;iI%n{}KIH=qU><@v=ja{h?RS;?jBr2gzh2^$pe$M2mB
zBjb(TE7&Ym>F?<;j6yz84I;Wg2XzJtC{pb2!O7hN#Vt60wIL4e@Lx4{ru`1P^w)<+
zd$izzu>3-t8V-LR3Y^PtK;4llvEP3+S}oN3%RO6$Nu+kA?Il%gO5yXyMNXEIzFNsSNZ5s-ZW2H4D^Qfw<$hSf~wfHAA)G5~`Sqv(iP_-1wRqjr|}{!#%oh
z>78pm&`V(N4UPGX4bCaRoxvD}A-6=MehBg`9A}_^qT}sa9YdtZmLA$nRH7ZS09LF1KaVs*wccx|+qE#n(-w@@tefpnpu`T|NAMI=w9R({qRS0UD^@2QYN%(8=CQXcSvc;Iq2`e40T2ZUA`#
zkDLSWLjt#64DeSkoR8If*A
zqMH%u=E{)hmI(ev*i7>QksDQmz(*y(j(Pk>l8rsUVKk^La
z@KDghry7YHQ;SuM;N!0)H^i=A19=x@zbvq~jB5oDdjj1l0dy?^IFi7-js|!?ft!v2xP?IRSbz}%cOD0DH-YPp2e^^Ir6&O73H;+kfSs2E
z{E)z71dcu#-~tVVxy4xau>AdY90
zAQjIxWaZgl0h`TX_$F~prBi$(yd~e(p9}0?O5oQ7eoNq)wE+K3;Ocb%uOe{8`2epV
zuiH6*%1bE2(Jw44C
z0EnX#B}hf5i?h;+?kg@O2@fYy6d{ZyMK%)NqXh081h|{Pn}-12N?_0fC=qzuMu2w{
zxUK|nBY{th0Ng|1sZoGm5|~;AXd`e~4PXg@*Auvz!0!nBg}}Nxz(oX3*aYwr0tamd
z=pZm_3&5@feoo*S0{4so+)Ln%R{*?;z~GetB?2d11+ap^Pp<~}zXYy%1;BL#4tyoR
zAq0jAR0uqO9l)gP0Ujdo2!T6Z18^sSYhDX*9f6PD2=EC4&l8yRI)Dcn0N*08?DYW0
z6JVq3_BY_^D+Jg=57`z=%-yrZm?*#ZK
zfuFn=;O7KB@jifi2+aH#z#IZsd=}sp1bE``+t1@^_7?!+XhI26(WI1B!nN7W?u#Va
z*r^qbs11@vMQTZzz^r?zO$0td;BErvd=cP$0>3BlR{}SG3E)-&%f1Y70)a;e{Di>R
zeE_c@(0)I_fdsxl;C=!*E_oavPvD;f
zCjSKBjZXl)iNMmI0US%Cwh5O~K7fcFyEG!x)T0%x}Y
ztR?UqPCfPhNZ^6l0N*6Aa1KBxfepI@6bRgh0~@@r5jc20z@Y@5!@V5d9|@eh55V~Z
z9z>j;_d^0NI{;u4ff+e~T?kBl5kMP(+X%diz^w-Zyo11rF9tY;zz+yKO5l470UjnW
z*a1)?(0>>}k-+l=CLIp&djfwYFy0ApD}mjX0L&+F#E}5U5I7i@pL&N8_%4Bm30#De
zZoSJ1?2Q9$z5NMnJ_+C|0>_;Sa1w!QR{`8WVBQ%3dl9%`HNYhVPC64{1%bI|0qj9w
z)!6`N5?Is?u#~{1=K|yjylySP8wq@5J-}TA9y%Z3Q3A^@062lbTL`?J!1DwqT?p_L
zfnO5%)oKp=k!zyN_`F9ldmVD4oAdk}b0PiMnJAucp0CGJ?zC9vcR0LuuRdN05k1nwg683H$b5#TKZ
z=#XQN4ng+*dOsYTGqDslhV4YdJ@7wQ>DKj_lO0c5Ev~k-JlA?PK_y9ChT_t1XD}d%3Ds$!bI3_2GVhR!-Sm%DufB^eGR!&)0E2a=-@H$z<*Dg{xU$T
zD4PBvkdE6MrfK^G(3HyX=)g4Z=zmX|PX2m21u!X)j@uii>5>VcDV5>TQE%Qi9sr2#
z`-`Pg#hurPgeaxfqM7sAy?g%vHKHW3J&=xD6sFq!XlFw2J~C2cs<0n@KJJ>M5vfE)
zdKB;O)xWxf67jeIaiWNLbRZqKC``mM+L=JalQIzTWDt>x^eA}DyFQVKXGuxq5C{Zb
z&;hpMtYI9vKUAU9K(i0_6I-Y)!|MZNjUxYffpkoZF!`^Uc=A(`9*5F3b}{28cu9Yk
zz9OA(ig*c-RlK1vdX-MZ4w!F5Iz$v8iek98T+$&KoOF-COPzYARpLxlD`%Q#m5*?x
zN{!;9_6(LKzf5YhAp)llOWaUa;|*MIR4O6b0c}7O*7Ozf{mlqc@E%9g*UYJ2H@=pl
zUh)+LxJVO|D(;9^ihG?uf_NO13=u>~1;V?SP}+oy{B8@#jRD3-3CL>_(rJ5eazomK
zQ&+8Bdk$KrqU6{JRCY|8VGV|L+e~!J*b(7`Q|X}f9EZM;{an??bUxRMNUDuFGC@zk
ziO`xx^$|fOO`w*_u!;Eo1mY+=@I49XG!b`}M6_(b*)}QTD2Sk&cmhUBhqRL;zuOJ}
zazcYt!|zQzMPtkzraCmqiq}CC)N}e0nx&e*At7Cs<}Wvz
zzW_$zzgbs#c>*aE$*xRDr%C4QDrx3*VuO@NlSz-JG=;`I9o25y){R;EH3ucP^;4j|
Lj7b*@ab5opMwD*n

literal 1448363
zcmeFa37i~9bueyOmnHeYC$`rTZ5vx7d9^Fcw`>_?*|Lpnp;$5)9J8L?nbk~tcV?NH
zm3D<~%xMfm;KR$6IDo&9gail%!VyB?4+KIC1W3S12#LAEjk%8y`1rr~>gcNKs_L$u
z*_9mP-%sA2?mAw*t6sf&_3EyruRQFqMTg;k-DBEQwR&S_s9dQunw4sMu6snKIW|36
zZFJ`Dom=;uxjW`c-4(6!{&sV^HCCPL9tI`GYW0aqtJ;{mWv+WP7Vp$2+C#kl@^*Es
zQ*Sn8_1eYmh|DtGGTiK*G4v1Y3pO_j%PEAOq&VGXFT
zWKVSlA#s*_!5qN|ogCj?HdO|wI&-ySyDLWIFlvjt%Q*BqyGthOjq2Ra>Ctj`Wx3O7
z)kmj0Flrp-;(DcxBU(N-QEs>4B|I-}lqcEK5tZqwk&wJFT|3wz|80_{Mg%)gB&g&6XRj>B)9=cKAw;+V=2nHtJoo!vJS{n0Gm>BV(x5
zhQX}aarpFTZ55-1KxXYR;&*rD?&;CVW@UN;041!Qq`gWIvtIl|b7(LdSn=8*K(SP<&|TS1dM%6U##^Pal?i4{zo=sUvqqY{X)~xyvWm*Z~k-8-|VT3O0@anjF?$T5nXUGYUU5R(ImH
zyBzqlRVS7zb(c()>#ezNiH+sbC~MGj-LvuRV5fK;jO
zt4=hhK&poX<2`x+PB?!OIO4YaoL>iJc4#n;;ACK+SgOCb@2LT+03CsuCXs8#Th(gR
zZjN{M!)&lQnr%);W90_0K?PWYDg3D3iOP-2FfbDcRDFDQCA_D0h%}
z`|A@E(P%ZAZdb>rCk9u-EFL}e+CA4i`Nlob)}2p_p1Sph8@BG;^R!E$Bxn%$3Zl!}
zsZUN#)PYLC9j$VsGmARp`m1i(b`6x@dd0QZUAyOL5%9(KYxnHDYWMDF`;%{ownn?Q
z-mvG|Z8u)G^#WIP9I`SOhoIt`L<0x(R2j`Bp+SBt$DZ)fi-93t
z6wXI0tbBC$(?HnUK<|l4R4ebRg3ymu>-&J(BGGZ?jj?3dL#ovF>k!~6H|AKKfP9%{Ds4nr&0LVNgf
zM%z;Dq;7q|0Gg91UC2&>3a?U$hZ8&4#Z@rFVX+_<5VfV<(|iaMqTnwi2M9LSK<$3D
zTel(GT?XJxx9W4XKSE>Z^$0LbA18GW2P(-H>6bZ{s?&>k@F@=m`
zA$J%o`{2t+yABJV&U8y7_3x*8Db0Xgwq<9tQ5}qCCd)JYaW;87o4h@cygiV-?aWS9
zN9q+`Q?vE9>}gFy!<}+#Z?(e<>?==9SNSu{@YM-=UPp{pf`J`F;FlX9&}2v|W9)9a
z`LZ)RuOZTj3Y|;b
zvBuQC7ezuA;7PJ4wen@P6`kR`i}ufz&E?y}z?lC$J?iG-?uwboiOn<~Skq6ns<2$$
zSEZ%j=b`RrS%2ME9PBlNjcalB3Ya{Skr8|sxcpYs&FPtWsbdN&th$HBCRV7jFXSJWB9{H~X)wN&HsvO3(g2rVI>e!TEi9uMtXh6qDfxE{C
z_Ynv;1NsQ;+X-*H3R{xgk$`+0fsBi~NnD75DV#WvK>y!;h^PQAsX_=Pyejj6TyS+I
zOA{qg-Hn(;S%QTH9oP>Y_2+m|-(A#5iEg}(a2%fne~8VGCEQ}~xcDr0nk^OFMO#Go
z@TB*BSw`Q@bl;n`zE^aY)f?n8Q-o^?YI4yh`=NJxy}w&P=6HE}qBBBTS_h$fe0zFo
zs@dv{v?t50&NHW*=$^X=BqiRVLgrR$T(IIZS@FlgpXt%~@$g5?&ZzkKB*X|DuUEeU
z5z8}jc=SUb-d=2(oP0JnT6`gVHnp)J=@@(iXf9Rz^U!bF-_zB$o;U${PuHnEWfJar
z{{C(<`^%;l1EV);Njt$xE&M8}ML%?E-RB>Zk6N#RssYscbAL}hYVn@JsP$fde+8(;
z!044)KG{M;PoWn4(5dxV|CoH#`cxRT9`^U-qZaQej9TCG_g8>g42<5WC9Q3%Y~fc)
zE&8ETYuVw2HR0hr(%ie6n>>
z7`3kT_vE7%?1?{I3L+2!pL@~zb7Br
zcu!$u>-zgEKsE+OPh^9IjIxnL&IKFsz=&0f2@)D_bwd8Jf4DwE-XBKDclvws5t8?$
z6B0cvVu(xVhd#0o`THwCNCrkvgj}U~glrUC#=eVjiJ$t&zTh93k7f^r(d?W4o_sXp
zJ?S*dTBQBV-(LZmF)(_f*~-LmXCv8CwqoQ_4*Zu+uwxb%Hc3`N)c})ZwZA7H!FW$$
z1UtvyUjc$KFnS|c;$5{8j6MqyTgrav1iR8dET4ouF^ph0_zgGyB@eR#C2|W-3agk
zhAd^qm_QH~)T>wK;$r|z+RuTI69@<+$Ew-@1(2ctI=&q-F9*cDGzuC%P6100@dYlm
zIfz*T-)D0)hKP_k%|+W?#$cT5X70WKkj(R6Th=`ScBCiBO-K-rUMF4aUpPI#eh}jJclNu?IsBa;n#&3c@Y9yM7Jrkj8l0)K`KuOw;tTZRfu#k=a
z3STToE`;4ANwV%LcvGE$sDQD0XYL*<0Kowbcw7Pa<~$I;5-S6Ei~yV)RhAZmM_B&^
z3Pae;p}BX0Y)A~@+Z{r-g+0#rA8;hZx$*DgBV*nq{AOx*wIjp>w%hkYfQt;BVR(=B
z*I++5Dr1ZexUX5n1vuUzHVfoGf*_r!R)r0F5QKIIA~K@V^i-wXflYe|+^VV3UhPhG
zitXV6uPuDXlB?r?MobLEpXUgvt+qLW)!iPB%|n?X6zZ;bRn
zo?sLj0o^dEXoj1P1%)m5vfEJ!whb_}hQeTYbk%rsVxqYpqX#Fa+Z_z)X;(YzHm}?O
z8^!eo+b-T5mBuHU<<7bYUQq+(nTRYw5gRlURq7D3jKNq?6P>_=@c;5mcFkF>Cc3x=
zBlM$W*F2!r_
zW9uJ=uyy=>EWJAZD*josV>yV$ci<5wxE0-%34OXYG5GVQ*`)8!0>m44qsUW7$+XO
z%a}Hr>n_?rYltNXnAB@1o{Mty_8U}#LIt{eLrMNtN^yRj6leTx_#=h-y?ZFGNz9%s
zCfPM>3JVKnF9>yBHyEvLOs|Fiw`$F`gKPJ#g<$#W7@R)f-y>Y5-~Z`Fq{G|cV>KF|DDNFwNy1Z#f1nQLoPfbF;XA1tR3~At
z=OFn8;%DQZylTgo%T_`CXA#Zg!{Cn~37@~@MACi9A%u2;wO6NL`pR9eX-t3RuGbDm
z@B|EjkMM6F{98b_NS3GZD;R}d9zr2nl5kT4jugc&CGz+u1}>6}k|83A^hc3oYaV~i
zuVJ|XxkM5x0yKig>#(}98#(ZKDSb|vM`$4Onr6h&%3UJJDmm|^ypkdSd^!-nKLoq+
z`xr^ygMXOEf*W#d45Q7;YzoqNDU{Y_qomm-DS6q92As6%H-M?Xp*#bj)?>|P3mg)#
z^ow9k0B12qF&-B66D$qcu`i}nFou#lB1S;ZLBO^G6}S_ic_9b3h^&7L!pXlfoO~Ys
zfKdy9!%-<=V!|(@)Z
zT)$q>ZiRf8bW2<^uvF&~H&GB{r(o$cBwi&1%5fn6#|(-qYlu%%(M(x|#kN>~TV)mE
z^*pi~e*tH%d_iBYh`)?F5aB`%v6LnVi7;wP11EV3E@P=zpuB>s-krk|2r5_b}e
z?xLzB#>=6w%`NGW#NALlUIqWl5T_JHgJ+O1P_}NI%*01(5IJI2Vsc|
z-n}$t;Fa{Gh@Vuf_e1dBVzlX}Bp19tBN*L9dl9_9fVOi9o212D36aeOZwXZLDa2j`Zw0iSOYkJ3Qi5mV$t8G}au&fe
zSi&!OW?>LKvzML(Z!m~lT<}Z?vIXxueHJ`)sj7l^ptl(ho0Bsh{m=#P`XDTE!Mm22
z+A4VXso#P(YP6Y4@J0wmchO!1uL5o75>?K&+Mfq!TU-Oxwzn&
z5M&G9{TT!f6ugW1_FGh{L)gph5$@SU;A6p%8YyB?rwQ4QShNg_E`V4#i=in`5Ady9
z`CFg$7BAO@#m%ia7%qIjp>bP<4?hJ7-(nc6&<^yh!*_BJeB9JL5h~4>sd*~2olEc-
zl5}syq~m_+2|U$Np_9Tde>Wvbba|e;(1#bo`D%t3eMz3mx8mD
zTY@r|ps34!gPJnS_N1o9gOJYElnDWh>IAD&kOX#ow~QuR<^8I^D(@lf*i2L!Z8j%J
z=h5CW3;&Ahu**%m-k8p7H`}rvBCUvLPw+GC3_(6XRZYqod<&cQuOZ7-LyJ#bm7)CZS&vKN2J^x*SLNiCG(`4)V^*zaT
zLN7~hrU3nrAcbi8xjxZyk($B^epv94t>9mfA)J9W?Ht$K6o4d*S^f?!Sr!8h>UfZ{
zGJ?j(7$p{>gt5I4rG$Tk4yOnu)Z~zTO?@{gRXOGOoRpDCdA)YaWDgDAxn^3MpPR)vh8f)w&%zZG}P5qf)W9jh!;kAzC|Wi1~IZRb+Q5=kj_
zY~skJjxFV!R-9Q@R}(AOuV);Z$h(~#&JRL2SHfoBFrF8Z{gxI55u=raXrU~?Ta410
z2eFXM-aX)eXhDQ?AU1K7t+syLU$yl#cAkI*Iv}PgAm`@uZXx6JDVR=9=&o6oeY8`)
z4NOtYD~o4dKpnw>2`~_O@>jWhXE9pFrcjP^tWOVOHLiJ{LXvIOJoqU{^W+GGXc}$i
z(moReqq}G?#^5ud?OfW2Axd8`FF~?P+n0Vw`Jie0?jpnGJ!P%db71>5MY@0GJYxIz
zd%^ain+2-jNyqa8MFyG^&x_8J-JWN3`=KJ;eqbK)`;ngT%aT%pE?9JnG0=Z4GEjzJ
zY|f0`!!N34fil+EJxjUEdQz;CYr4I)17@=cTlW03JA?3nX7e?4G#Jl?cxifOGjYMEKPiYVt
zv!85{IV=OgDUtCu8Pfrsf%ua-0$v}4G5|8hwP&1pj^D+Kz9UDg53r)*;H-@KFO&wl
z_Ob3Ya0nf;@Zu@f(z=u?5TY(E%XD7c2vV=sniWU|y~U8G9F>QX-u0}|=|c^l5TTeL
zY`CzleMY?Ku1Wb@ly*xz0dssL#D&W$E7gwKu|xHhWK5Fm17684#V13{@hR{>Eq#E<
z3Cfb!#`|O=-9J3^vKuQ1gUf#)(Q&*+Mc3gRi_YxiVz4Z$hcejsML2G1@s9Kf1=m$T
zr1seIc&zoCSb)_hMQ$@
zPZv+OCp?blS%f$y+ZW751vx)%Q->6kBVlK
zdKDuzMNSAqQhO&cLL~ow$nXTozl)XflU(|AEk-eD0Q#&$wPYo9kn0qyYNQ4p=wcnK
zR_dR^xU2`c4g+{HNJ^ytH4(|Hbp+`Vhe4$G8;9IB6N*A8K!2szfN}?|Db&3rDa^ro
z#Zr76U;y$%k-cSRjS}gGsLXOmiNucWT#QvHyT0;!d85g$ki!(`wFimF{1_=uDx>#o
zW<6jav!qh&$fgBYI!?qBRO$2NWdIYMHj204)3x}&%jMG(;7NrGE;>m8RjQ45liT+;
z;5~60gwB$t>IPV_Lb5MF6hC#ZRH3Y0L#Zm_g1@rJ>xB3*ZxO^x_>7AY)msEt8&)vn
z8!9)Zr$p0yJ)BWWN@DzUKnJkLP5395Fe1osC1iY~tU-4lJ_evJwnnIQ*Dy?`?h52X
zo9nJ-1#ns91Z0Sd{nu>c9BUjK19K3vw>u?SJu`
zp$?j3Z~-8}3QEX+2ViO>Ui%w;CPK%-O@Jyt7PIg^*1ee9NF$@uaLfA0IOYsQcQAw+
zFw;(C+vGQ<5ApKg^<8hbcSQ-cMZ?9LSg6b-sCitxXW9T{z*g!l?V`P3N+x)$12nND
zcYc@pf|lq1;w614UWV@9)2k}34OFqZvs%iW6M^eq+hhPLN+1>sJzjK^=t32yjO1h7gP<%
z>b`1~Z*>>@l7#b~!jgoa;_t6Ol5hrwTWyK`fipo&Kp=if_;Kq{QJillSb3x9cEaOa
zS-`mvB)Px81yDM-3KE!7TLqtndO5ZVPO__~IocqoEn~X_2m{U`xI4h)f}GKxh1cj0
z$lM($ZR7rjGF)CQJ7iiJlF7nd#c;D9M8?X!fczDtw8YmVKMlk?yliE7k;wDk;}!3H
z(T0T2YdGkD&$M$t+u<9O9_`i;GzoX_Em%pi04f)+hku7ubCi`4c7rICV^SPn{t{#HK$y1n#xjZ5EPqmy%iqhl@3+0Vu44OWtgNDn43ZDs;
zn7Ne7e1@M?SD3}2t;g758ZAJ8(D&k}4&{rDR^7S@q)}v>xSODK7wy3@9(SQ_)h~WE
z{>B7nI}re$+)Sb=6}e$z$rZU_DR)6JE|K``7Hj}ChzX5*LP4E~smB@_BtT^GjUE&s
z)2VJKB@v17^c<~nZ@#h
zY(1<<5(LHnh3%zRB%xt3))wdAj{Oxt@3dnRm{NA^m!V$2>{x^WbvD|u44Y(keGL)o
zvSSq&yk?ccjSo}gqQIjNQnf%_ORH)(W4#q5=fvk63BU}*>+nzRy*6~ld=*E*?khQ)
zSI*d}788LOzr;#Ish3<0>%H*fhA?-Gj6P{j>g;Ux;
zN?{{4U6&*5K}{!Uifh;f#oy{fLoE_YA52g>@BX8&gy2c|j~>QKtGR~Uk?B9WKGAhf2a>@CfgU7Pb#fPy
z`bu&KO%y*58Z!4G{TM1ad`S37HSzl6Lpt&(y;Uy*3m?)7sN^#id+{M14Q;DFq`!w@
zr+i2fO(`Fei6xg0$x`k@)rS~nYQ9id
z<#JJ$bEDZjrpViot{T~%bIH)X^Prf~3SelP`j#wmvsKoaKM&F*P+Qf3I``*Upwwjx
zhX!VK2hy=AMiW-M<%`riG~L`T2iC*7B*9MnENm~mE(vuXSzDZcOZHBH-f77uFr_Tn
zF{sxsOBP`emMp_2nO)W6xS2i-owAwYBltu!1wA=t
z3J$R5(kjI*+*MEF-&yoNm(_I4eo|2L6^U?qZ=^oPyn7<`&oJCjaQ|;vc-chz+%nBm
zG$HWkkT`HF4yRE*0%Oenr)3R_*+03kf3DI!(-E_;4sx!0hCOg!E2Ky7Cm?qB^){QT
zon*x`sbyg!X2&AHOcI~{=n0GG?DXgXIAQ7^GN%5%WKrAHXwg~+l}!|x(m3W(7#Gi3
z=TQiG!b680O^WgVh4N7RYplT{`h^10==ob2)y_HMw{q+WPaVy8>PY+(v}wnA3M2Zh
zJoUd3{RNYmnnBKpsQI%th!L_fj`O2`q>Z;nK_wk`9d&~X^i
zukd40H_Lfff;GFH2MJU7wHRv1&Ud
z%(be8?>{8N_cz^q*_oZ{OlNbnmcU}FY1j9Tfbl+7-5kjx(b~%|XX(dE
z=%=I_Mh>zY42svjB>P$CA^K;5zF7;-wgryaLVoW!{yTmb7iY?s1NWV!<}>SFQ967IlQ1mA7TQuUFf^N+-l6-!>-N#cc{g(tsu4HPhzWLm}$!yyPr
zAkywk!|P718li|q!YL>xyCPMks*aCGzy{)D@lVK#<&dI6f>O(YnNpum%$yy9DiQH;
zCRSR_?St%y2eL#d)`3pS>;$`1q{Bi}A`-SVV*(?$cIMQ4Y0wCG0K-L4iLEeFhhXrN
z$~>B81GNMSOFsl7^FM*sv?P1lWwfU&F~hSU5EPqRH}bYZw)
zQs8^CDQGSjY^yW{8R0tOq^Gu!UQAsv1DKvA50F0ik-(#uu$_JD{R$oWpipS^@s3Xw3XkQ9deX9krDCKL|MLCP}HEcqZ
z_%MW#@Ubv!*zRLg`5BMA>?W5sCa96GIEFFuub%7iDDf^e8P+wcy)7Fl
z=7*aWbd96@A7qzgxs|Cf-027{j!#V2D-p}O3Be-!ApbH_G3wMOlS60+5rTxs*D)eL
zDU`_ZwOC`#j>W(s34Rw~wfBq=NQH@cGgey7HC6U%Zyl*(e*d_*aS1tPW-yu^j1ELo
z&2}9*MHrWwC7DC5w}S@3EygBPaxD1plPaS&Yxjpr&gX89%Y9yCw5d-$jz!-K2u62N
z)v66$^t~9`R*l+=@Hgf>AO(yTAkTZi5T&hf<9FbdFw9O#-R^ULk&*IFGHy|d@x~m{
zuX(-C+l%!37f{JJt*aQ0{}2j0*A0|OMq4(R*ZTxv_}`R~n)myByvRr;zo*vjCcC@V
zFP3sA+QnEZ#IBZcsI#>Ji84s?)8z(6Ga#B1@r$
zPXZOHBAWV4)m35HvoDu#?JgbaYgh;|_k=K}xro`q8YYusqQwHY~
z7USK3fw35GdP>E3lfxmEn%$H1Mr`~6cx*e+0v@@++*#xCGlT9~5;}THK}QiODdoN~dFHM4Y%c4jtpTJ#px%(1|AQ=!urOYWEkC$}#Q&UOugH0MD4
zZ;W}pQO9ephufXzSglMqUc*I0l#FUar9M7BjdzA^C|CBujyx`@!5t5G4^6gLZfj1>
zw(5Ipov5^JU9@TAxtBy6;LoN_(QbCp;I3J?xprT5qB&Jk{1SU2xV=EWeg&&LAb|34my^>j{?uc^w4zc8Ri*<{)Gpi->jRE&VJ}%j}-@dqz_=D60?CV
z-y_)cLkIg=#lha+2e47=+Q63Y5p4RQgMDvtuwT|Y*hh$If_ZpboiJY3_j{(`I3Ju7Xksy^IP#ccnQYR7sF`uh`%Qvjd)KQjSfFI85KP0qxzM<
zuL2ZeAoN6`<=n)w(r8yQ8hF%4bK>#3iKH7l-ihK^s2Xr==}do5J{s|!G#V}0*=$sW
zAh93%$jcP5z#IWaB-Bk!{@H
zUjec)FapVzU7SbiS#8Clk$P*Kr_GpWyt@?67}YCt@kOA7oKblRNU5m2MNltCRNjeZ
zEG+9@yBr5Wz-2Qg6=xPZMT0Ho>M=7IulEyXuQ6Cf+a1k$!t9T*4ZfhTo-q4kqZ3_0
zhMh3GAKLPn);dMCec87`)$kK$b5M)L@F2CEC(I7YDwMbdN$6WPv!H<0@rR%sKTq~b
ze1zRK%~!maEe82%vT-=HAh$b)qG+p#6|8{tG^%X~FoTHeHU%A)J8(hG=yV6(Li|J-
z5|8bL4V5z8*E9y9hR{^IK8eAKG9V31(go{Js{Qyu9QQ!{aXx&pIj!@fZGYzAQ8yu#
zC2}!4!Y1fqr+*K@i-^Sd0#=gh3$2+?C}Diy*#ONDFHOBF#Vb?ql*5e|%SAk1;@F`h
zZF`y>;3@bpT5TbtiMSl*ZQ%^b4FWCPQCZ@1J*B*n+(Ay5Uj(6mhdurTDlv~|>YN*X
zQunbn{mPM}g*`5Y(F((bo^|++IzeyG%evy6+e)b9)tSmU+|ZE6W1wv{bVXN}7-+;p
z9wm}ev2rGkKsQ*=xmn7cm5(PR4!b!kfRZqKb6Yb^!4AYfBsTC~@pU?emLt`y8m0SEs~*_xRQeTF)b7?7tC{0Vn
z(>NM_7{OFiKQA&;-bsdx+z3@_WiaGuhpxs4V3iii*o}rlJxuKMDhcBY23|G7#*SphSNN6vie6e&>P6==ZtMsIeqt36^^x|i;uV+9mswz
z_wJ#ea+1!IZl*w}Igg(Rl^i}j{M2tAA2QnX!^myha|lLv(O!6bBeb21$0edtJZ|F2
z#p9N8tNk31@OMT*;BB+@Y~DUD1FeC)y>XYu+lur~!3{0#=@#1|$zX6_0K#|>^Kb?q
zrBPayIDYCkgFnk?)6KPt5}zR$-9>w0@H?RGTnsJ|m11xcPc83ZFosY1qXaA$=4Es;ZJ%sYd)
zi%Y=UXz*4Ez)$^_fR7t(y4hNhfR7T4?xMX&z=P0sE(u_W($`(SY!zQBGE&}2*1F4=
zt>Ono`u*NKV%W@9F$dc|Nh|@9nQxBSFzm}#vHY<*f4Uh&;U(4y@Ow&;;TM(NU5d<7
zZf#!SmIB+&T?JH{*<-d!drJmAQ!35dWW0oJCw(W!-X70vi5ub>@fhMj{Xgeu^#KNe
zhyxHY3k451f2@0Mxl$RS;0;@jKMGRf#~hNperH=_nRu}w*`RSKCIzx5qu*{8e3G=q
zGWrch`pT7F`eW{y|U%pK?nrE7vuGrYGupz@a}sXz!R1Hi3pb5Lj*(*iaUEx}KM
zM(l?^pbz*5F>!$B;HeAB7MQ%Qvo6|0D2{X|!5OMx7iR`=yU<*56|RnlV6nq8T2_BP-NKu#D}PSNI3y
zBi8SQ5$g^9o_xgOJ!!{ukicx$r01Zew3IF6y@rGHl4)O|`
zP{HxCBuqk`8%|@I0I>IE3-`_-Cic
zNO>o{c=w-Qq~GU2C7)kN#c(_Yg#(TOnBM&$4Ev(0{-DT6CBLV<`zE`)y!)1N8-pcW
zs`+ksU6>S17~D1iPJ5W^_z4*lR{Z^!QBnV?n+w3dr-q_jSsjOK7CPvMo@O_ysq>>x
zv1ND-KORJ6uGIdPMgRm%$F$?8ek-+qH`;V-D#S96O8El8=q}oe$UO{g=Td4CQ7LIK
z@#K;QOS!XiGD9K*d20Y4oBd^T{)aLU9mx6TqYKr>`t%;Q?ej8zrZ4uyQ*~B#^9l}u
zv;MJA$uXbfr+%~kdZSH0jGXn?5{&Mmy|Dfuw4ICfC8AQSZ{o?t`j&E!7p(7PhJ^9+
zl?S#r`^skfqce~k$oAX0N1CqAjBbZJ=GkfEU2+)&TaMASS7JD#Apv78vTCb%36IUR
zmCkJuyds?65>K?zI2y!iTpXT3Sg_6n_$f#nGVa#gZ?xy;Z)Fzf5Pa^Uy@jfomU8RF^qb8Mi4+7>
z0{%C9&F25lW}rKe|DQm6Sy5@U*_>ecK3daoSFSSaCU@~nz|j{B{27d@5cm@%J4HtR
zgB<%~XAS7w>t-Ju50{41p_0QG#ZN)fumlGzW+e7Q(va+f%|?rU2)QYG5kcrK+KVh)
z25sk(1&OAVESOkw$%3Wa@SZ@vkl5@7R|UB+A;^}CH5sT6l#A_SwrK&a)A9OPow6)x
zr)AQ1s&ks~>~pn(n2w7@gGO$hB=A#^Smc-_?l#(VbGtH0JfC267wttb?t!**35G;e
zN-#`3xdg*f?h-Lcg!4usB0V$$!eT;|EiAWXkRwo7E;PuyP;ffS7j`w_$g6JCe5j*
z>CEotHbeox(ebfZDPv<(Ng;O?+poW>)q>-r8#Y9HSm-!joxCx^6Q%t3ShLZA`^qqt
zAvk~bl_%g{WVkS@1y@B?TjEfXWofVNVy;p;6Skc8P9OiKpz(9%F$|UZw3qchxQCA9
zxKnQJt#;<(^P%lrf_V-B;SxIhswy!kcVR)iON13}0YuV-$16Xyom9#|GV&uA9^}U$
z;qmq!Kfn%phyVj|(8FJe-<&7{KBRb9t|p}2P0!7V_?_KN*nxqun-l3NbvGd$?BI73
z7Cwh^!B}}>j4m)AfxWf-XHnLB&!T9JI?tnYpS|#BF$~D)1`*GJn3H(4kyfo_J=1cO
zRz_$aS>bDnK^v25fJ!KZ${<#3Lz+T-q+E7eZFWzM|XQ=B;9QDw<+
z;`?x93lmj#f{o5|&d9O^$W&z6^8x7oMV7r2S_552si_${DE#SePIGHynKJpV+a{!&
zV#qp_x;5EDPvXktB{=~#BrnGwLU0D+4|1r4&eYl22)?09rCx|N;EqhF{C+tkZ?%}K
zT7dyjwUSMA9bICfIv!Q~5Om2@?LXtwjM&M&wMR;h4kJJIIZoBl2h+}S2ohU
z>mbY{8iH&G`;>?}r^
z{oJUQAwLO3K9Rz}-KTQ2x4y3mH|1jLcUUVa;lWak7p^Y_HNF&CZ6LnH%W)Q^en?0o
zVf#W3`ho-r?+n3{SWEA~N~^iVID&)~u2^e}{@p`sN6gXGf-L`uZZY>@k}tSyWWOY}
zNiB~B4S_F*N1&2p4+cM}%g}xV_|6z@>I%?cM-dA*O)$EPs=l<)0N(@9wz_1$0Ds#8
zd>Nv&CAN$gG++U>M*Fh!UY@uQ}ekm00A;32X!@dCD_ZAtc
zldx
zJJYR(^h(O#a;T(-z7a$h?w0%-R?4qRH}8SDH90UrSEg8|TYmUPRjzW5?WGAh;BGIi
z01Nyg1XsiYKP6(hm7&4{h|@l^z$(T9046(vVYxF6^4>o6oL8;o}Kc?g1%+fE*Ph2;Sa>k6GBKVj1kO#2p`E2_YHW;$x->*5mlV
z@67SB9|p!8AN1sKd~m-((aXNiA8Srd)hDVWkZEx$zsqBt-{qmS*@MGFt{|1>?Ec*&
z)lmr5rN7j5*UP=4lhe!5m5p@oJP2M61uHfmN2qf*8BP2;9N5Bm362+D0(CS_-);h9
z%13ZFz}!C{!MmU};Ui$!pjGQVoZ^{2f)`v}ZD2Y_I3g_12e+e%Iyei!OMv^TQN6;h
zh8wF@$8MuE)naRvZ@aS37_9+2uG7`_N^mEjlqzW=8Qa6rWa=ilK@LLyCaP^|4ILuT
zND+)bf_NN=Kg7`~l&n|Zqf`12kTc?g4Y)(i2&ctA
zVWrhvfU}(zPhip~0|2f?50=>VhbVwXvlF$ez_Tq%9Ji6!v@8#KFa|5xdMg((OolS#`U8ES+jgNbj#aV?AycAPZAlEFA_
zumr@E4Yn0P?w<|Tgw})&#*jgC?>0{FOdD*?)i84@3>odOcWPimRalZ5!Jk>hB+JHk
zV9x{bvp4`kAL(41_Ux@b_)
z+xXNxdYqKnJBbA%=LbWEC&>AJtdyUetMDr0*`ac)Rh}iWv{;m2ENR7bC_k4QO4SvX
zVF$hnQdLoL9s;TZpc;hxp?j-A_!;<+L26=&Pi2=AMi$~Wh$Z~?5;wAhau7<*Uy1v>
zgesP#wisDo0dRdr7Jg?&))A2~vgm1kjI7JYT6h?JWYd)+Y#zw8w8kbd>BD5TQ)^b%
z&2=~U?JcAA9*nMrn3RnsOL#}|V1yTfLWb`d_&2L1{l@eITh1MV#NUv(l>Ulri-Qp)
z^E2{+uU~)Le%PdLa|e6vA(5`Dd-2Veoe5!3oz2l&LIK0T+RF!{%PQ6O*hss+cLZ=T
zR^1%Qg3;Q`FNY{X%=3lvs?;-F*QW!mRm-pTCE4#HdG;KhbSYnF)G}t?@0QKU_hHb_
z*p*LScx+AW^H6rR?4bMHgJ4S)-I^(Q|CsU)^$|e09)SV
zYk)1^BiQsqC*VYJuxq`8eRyMr&CFWbckvcL#z!6C=NAX~u6_W_O$h^F_LcyiH2}V^
zIKZ#z9pJuX1^>(9LwJCO5a&&_|6zYmzTB(4Cq4J7J1h8S{5=)Oy~+S^n>abd_y{r0
za@C}9S!Q~tZ~2GhOOgAZVPyKbzb7A=cuyLc7K1?{W*mCfMSkh&`n0Z3GI0S?F(7&(
z)iP!W*$CxL0Ng{t76$SX^O{+@h9;yr~BX|un#0z_g!^hBgyQiAXH56DNT
zCx;QL?C;4(DBhDssLYh$O@Ds{NX5YDiBttrg1^W=4j+Y{A4Z{9`FrwFi1(yX$deNM
zjsBhr(1rof6K(o%8^YiC$K|8dUxm@?6aJojwBkK!w90WC!oT`^EI=~`NKZ67Laf30
z45iH)hp%5R=39K!r`sR-hvP%wBaBp<*|Lne0z`k}r{3pbXLzT0AA7Jq196pIoS$;B
zu1)U%7oJ!Z$=N_DzJGFvcr$1l
z;#6*tX71mdvW@&95Rm}UEE90s^`U(Q==&B5duqK-O@ln|Y;zzD#qDpx`#&0sFOQCSUaT^4-
zFowOyZHkPPVHgo-27Kcem0(b2Y4nx5?lm3ymU0_|7WqFkU)1Z=@XK_Sa$$gndg#Od0WQYrXQmNh#
zCHG6CO+SoW^nXq;x{LNAg1>^cbBQ2Bl&)-imxdg7rj9)~_==L_o%EvQ&M4CFqy4EvPaB}GQcIe8
zi6fU3Sjy#KW|bR)q(H3*QegI;Ed_7MKzpDRJV~4|krP6NUm-;Yqx6eJ+IYz#Tq4Ed
zUMfQo&rnM5*`~1}7CG+}IqdN|L%X>OhsOovSA+?xfZ(To3do5;@NvucIH)vVcG+X0
z?OXyPk(3e;6Gtuqv6Q={IFBU4(nBL4I3`rtg7aVf6`X76YM~Mxcc=XS0w?B`Lw=#*
zTlj|9WCkr)F_4s8@Cht>5=+<{#0!WC~`D*ufjHszx9RlDWr1heOCK^V+Hd7vQdHZM8j2d>10
zX3_XWd9Ug_HpM~n5R8}M_A}dT13T<^J(>t5;lCu_C=%kXAP(eGayy~JI_co2ASubb
z`0SNNi*CkOrkqz0gzlof$jGaq?OZY<(Ug)A6H6``v6S1^4_=Wx(CtfeAX6r!*)lbo
zL83sJx>$r5;w>+5*IB&-ficl-)!F@U;6H-%e{gYoqtk}OF6}l1T7k!nhqc+J7Cl}O
zsFS>qs3Y082|A3wju5l>l4Yz^0t#X2o5qlIxh%!+h1S?Xym
z{u&`qZ$T}pCw0)|{6|o=yS!B$M<485cPZ=07MlX+MH_SX#1BH3u^!?Re-dF8!$cna
z6NGDZycM@f*X%f5!70mxIFukG{`ztngNgKPVfk3bs8hn?ZBpD3^^_bNp!}K}41V(+
zF+~90wS-1@1r^OcrJpm|!n(7e)zfN=#j$NS=@EwaF&NIqN*S?wN@nXbZ*0`Zo2^NV
zzue98F6^4+3L>-U7(!
z3=`)U2Y6#Y01nPDab0nMujvQC2P|xHc!Rwq3?E3=V`Q0DiUWLW?*R8DCC2T=hcH7!
z$bF3e#r~dr$1!@%L2V94iCBZC>V3m%XLLc)Nc{zH_B-4I|SB{XO}}
z#Cy`nl#vqSQ~urxkct7(6RC=(#Q3^@Fg_xEC5%Wv@%Q8-67MO5NQala6LtY2F(7&(
zQZFen2K)o^5$dr}H6VA%I)6_-Lh+t7LS?4JxX9mM0a7tAdLmVUlo-4G+i`&E8devs~jmY?)Udt
zfMyJko@kcrDB+^9q+4L#lo;>x566eVcQaCHYbKEcgF8dTPkr6=aetpa_F#Pm;wrm1
zPl;jm2HXK#G7Fg!Bk_0WyHDtWza6)S2I2(HR7#8oU|rt7lo*d7iP_b!hlu}((mT9^
zyE(#BVw{(m5+f-gnKu44GVDP7-(J2|_YDze2R9`~!bSW}@?UV^7bGRdW7hfXLjzM{
zgXSo#w3_?j9{njX&I!T+-_2hOl^h{s_(}CJTehFH!_#?EVm#4kQ+K?XbmAdnTL?yX
zQFX5>Fk^Up1+=a1Nc{}B)|wK7AxaytHzmf?ij0(Z(#vV_dXav|127!l2!(B72NahO
zn>pEI^R##nhJB~S?GbSip?ro?z_5Yf4k`!gC5`cG3SG4NBrmE4DoHr<*FvCfs;2MI=ZQB}!>
zis0Wu+qsk+LsWhx_k|)O<(>4RZE;3TyNiRz7wj%x3<`KiW
zm7ER3J|*|uA|qv;*pwW8QQ6(4^)lw-jsp%U@2Izyg$DR;xaA;zo6k-r2s$mQwokfM{m!~
z+K6K=1xG_AUsO~tQgA%9ol6QNl2TG&;>aZhmU20mS+!e}=^(HoNP*dVwiNud-%@ZO
zB>R;%mC-hkdRiR9!8~zG*9LJJmx8N^%dAp>pZX~U&oJ7{B?UJVeD0#XNWrbpb}lK9
zNJ>e8i6fU3Sjy#KW|bR)q(H3*QegI;Ed^I(pgnLdI5e_fy()+Sxq!TaFkuxC{M1hY
zd9%@;o9mTn;!OmfyJ#;0@>Xa&mw-qlr3A#pkxM`<<$6e5l?Y1@jey{oP-P3w%QDCj
zC^!c<`_)&27?KOj!-N5=z~HAKfyt5m>K8_vZb?vt=BEUsyJ#;$^Gj$um(WN=rG&=B
zlS^nU<%(ynN@S*Z8z3?!OxYsy#SCHuip)XHezkE>=WsWR;i$O83_>M`n-M?tTVk#<
z+VsQ7S0h&tjP9bnNX*sHb}osLh)PL}i6@uDSjzR7v?>vs9vcGLF`>(ropl*x36z~f
zDf`tOL2SxJX_oL|oqX_9zeVZ)7;U=cLz#Sjk6?5c?M0OCg|>5vl0;NWluSIiM9EUF
z-#Mxh+3I)8AZ#Z5*}}FjgK&Yuwy@c+{yvCRxj224Mr;)){M2u8`VXT`w~Q#_^lt>C
zyJ#=s^d)FJmpDm8rNqg^lS`Z|<$}^!C9)D!4FtjLIa?4uoPqK{K{$l6U!Al;=V~`w
z;TXA;90!#g_8Wc*l9J5qSLYZl`XS`jTZtfa7wttxHbC3CWJIDVB_k%5Try%Q*Ozov
ziR|>HIglw6(rlSJCWAzQGIemWUyTJZCl{X)8o7(+_*Io4C^wJUugu=G{m-1)uWm<(
zS^fi&7D_T09WcJr7?LiRVcD+^5c2dE)R55Cg_D-UJRKO!4!xL2e4pz!fMSspHgi+IOg|c5Q9s-bZyJ<|q5rwo1L-DL2NdBcs*M{%W-`vT0;rwbiMQRokU?QOTFOErM%(Yt72K
zx$ecjVnd!TddP+~#Is>}S}(!STAjhD+5jL?(n|4>YI2|fPhBbxR*tufu1%iomBLbd
zGV~pv0{_!;Xo~a}tKb7@+#Rx!?n{SnY{Rw5!=tU)a-%gp*{;qGU)daE2~&sVj4)hj
zj$@u)FN@sLhnIM?sS4+OMls;P$
zzbGHj;AF*gWR6Qb*m6>N6B&&{RbR-C!1$RAS_m~;(>=ji^6qbq(!4m{J!`|C{vlIGwLvWj)1nAdt=dgM(VURMfx3pO1@cBMRmLq3J08&MPLhK*mu6-f+8c8jGyv=
zntYGOiS6=uOSz*BL6+LPYkmPuZq|2CbDBoZ?u_99y)w
zMMlay$gJfF5@mjG{kZ`cRt9}-n&zVS}Fc(FLVmp8~g}9ijgzcWW}4F<*>x%4zYj@(Pf>k|_r`|F+B$P}(9$0kA?xEsA*K}*v;
zIBs9f-9naDOM9zLa4NTEN9y~^t-+{Lo#>Qj_}|$rJDZIv|8ao-n3=3M%vXSl!7TzOlML^mU
z{H%jWIqo#kT+c^o@K{{AmI6Ri83*GNJHyQJr!s!v@Ce=T=OznqHeF6m`V7%W3k
zzrYy8PaXINiUa?a-hp35z%vQvT}J<)81oDXdjTY_H&)3YBs-*57d$w#drs0x1a
zyb|_Ae@{MY@t(q{wbS2U0ctTYdZiXOP8`%K&nVP_A3C-6`p4v>)>s&|ru{wnsKt8<
zqt^5M{S}}V1EV);NvqOIE&M8}ML%?E-RB>Zk6Nz@qt>7Md-73>_Y_90_xk%QKrIGF
zuhjC%7A^}EYNcfBv;HypsP(BZYCY`l$ww{TQy8_r=kKoowHO$^QA@7Ptg?k)CAH{>
zE?dhsdFOr~wGM}>0rS=g{+@i);yr~?>kNN?1*pZq=#^SN*}}!OLamf+UFsi`k6IUn
zQR`ZNPd;k#p2Dd0RDXX3sKvnOiCV>PG??-a$A`WNMksxecN^T_ytge_!+xW|o&G+3
z%)$B$#8q~29z&J5Vd9tJqGn-Ys7`e|%iOV338<;qsTlyhkFiroWga`lkU{}I2l%2d
zGj{6i?clVG$`NiS#pUD>zXQ1mBB#7eWkl;!AXO=91C38wWn9dGS)w$l~kJ)!c2oF50jmDmS8f1GdgE
z91r4M%VxxDs#esV9;G|yhoWdtts1R`>h(&sv~Dera9#<`bZYfBzj7Sd6S#J?8cnyW
zm8jE<*oC}NxdOkSzQMSqSPSPeT#S5M%6Ka|m^P-q6hsjb-UXFh;ax_1mYpaq)S#P*
zLLs5q1@)2r)PO{HkQ;(2BBXvqBXbv3_rNScVg6V!Xj|I=!{63eFaiR6m8q@#FTxkq
z=?`V>K}6|t$EJ8US@L%+A2F23XhoxCcW^U=e-m$SzSY>`Nr}O&M8x>5$|XJV>hoYM
zEXpjDw2#B8&NC@t$Lj{5EuZ_`bG&XHR84~ax=RTebGFzuFiskC_rwpv_~W+#Rui(b
z<8|2xz(@c(=(0Ng0Fq_Rj>QUvNEn}CDx0s|^%|jWzH--VdsaA7yt+>}d+MiJOY@!E
zjuKnJ{|YGa5fQN`LfELNKZNa4wjaWy*huqVX+~j7O&m2Fq?%_olxON~W>6Sf*`UI~S566CliC5Ga;bgD#DN~fB5a_Lk{xpn!uLejb$Pzfa5>@`~!uFF7o
zpe*cS+h<|2FiWx!l`7To^7KTfjg}0PsdXL!VHZyW{+WQ7dvtGrfvF7b<|rH@7m)i1
z8&(0qPilMp5Ri8nZTey40`d-m(Ot9`0eKI!ol8I@qEZ54;>jf-mU5S83y7Ch5~=C6
zB@iVOzHCu?Z3bZqi4tTBCe@mAS~*ZilrpwXzZb-&T$H{=*szKce(JX<9e%#vrdvLg
zx#l++6zfHlmHFXJU2^6K@!R=;M
zkgl&c>XXxx(M+_jJTXnHb6hWvHmBLygVE-UJ{@uA*9_cNbMwYq?9)=_ruOC_9_4a$
zAyjg#p7B$^<><*qo4MrZI)c$%v==%09cVk397#l_dS(rXDuchO#?>2=U{E@_g8N=cK6Czmu?%5CkPQ&ef{o$Ur<6UuC9x+{Y`q0)pA
z8k#imxoI|VZkqMZO<6%9p9|ttE=`{yR9K}6KlNLhzGbxO77<07zD_W@i}oT--+{Js
zNs~lWN}5bOxunTbPEIGqIYpJG-q{YaG#M1imZnc-kSAQ4>~m8g969Hvte~CKFVMN)
z&3-sOE={YUlEc!&PyLpr3yn7YFmmU^c?6@oXfM)qF|?gank1r9(q!VvB~6xca&9Wl
zDXKK_xv6+#VCk7qW=qql8RQ9-CX8^h%}oaa=O(<3)4guW3aV-ZaVnRlm{4JzoA6V=
zrRjM_n{E+N=BB#{Mt9L(r0E6Fb}ng>h)PM5i6@sdS<1<|sW_*o(!}Sc;*EhcnNVg+
z)7}j7giDisZYne^=iHPP^!C?5oXVx?J%kFYG~uUyOVekJHr*nkNYkeXMt9L(r0E}_
z?Of6%5tWiA6HhK_vXql^Q*lmFrHRi?#Tx@@GNH_troYS}PoOkiDUM50q)nw#@6=&y
z^|tEl{${HZL3kg_P6shCZ5|xMeRvQYGeRfWOLjM&9;FCWN?u4L(iZFy7wU}f<~$r4
z7o;UniHtmJBnEy}WeIwp$K=LlZ`zhtcK{NXGK1*$oK9oR+E(5&9Mgj{rt|93fP1K;8cKL}YA$s!Bx066(jcotzbr
z@fdT!a|oawfN=)EDiBT#V9R_g3gkK?PI(O$Weh(hRbD}ri7|3SNQlH3RMg)p&wTtr
z7EIBv#26JX6RA9aNZ^Sv%2+8QJWxrD@dOORYfMj$R$CatmxOV2YUNI}zuKzun7ayv
zih{LF;dwHoNra>I+>TT|-JY8QMw|{o9r0N!2cL0{KosXqpOBLyv|Jfn%V_T;dPu$8
z8!|k>88635`8h*gbggMk7AXU2n?CDMy(u?TJy7?gE&TIh_Dx_b769aS-%Q_n;nef6p|{Bg#^@)tR1gKf(^uH;U8y|vPyfV
zmscM`{7ZN}gAbtS(U6?!&^CwQNzCmRVI|20FhyC?=qgs@n%bM0ZWV4h9vJ3ZTM1#|4YW`UxSiwy8UYtxNk=YR>>;3
z25MvlQFDV3v7gf_IG>7UUyh;~f7u3MJ!E)-X~wZqex^C8F*Vev5XY1%7=XNGwAq{x
zQ(-!nB^Ze-lPbmn`Oe$`tF~g`856C4)nq&!dQT1=;5@@`%{Txb*y6Qh0E}N$^<}q;
zS0;!t>c7&cuTSo(`cnrSccGeX#cmG(@2dR=4%l>Im;?42r6e)?33={;A)dL!AnOH5
zjJNlg+tETp=khLyt3GGBEKYE%UJ9>yL&079jL(a^$
zoNGPU%Ezd75`bm1j+Zf*g}*@jl#eqG-dIz@Gx3NH+pk?9Q|P8KlPAlw7*s#t3|akoZkSa+1^&Q+^K@0EN`TM
zQyt>JIvnz7RLd>=-l*31)<&BxX)GN=5J~ZiPX;uDopciZ39`};ri>9M9M3_XXS@8I
z5X=Y@tAv$SbNO`~)>iEDi?2>GmAK|acxK_yb;ZqE#T$^E&@J8u@Xuu-SR$+85~z{W
z&PHtJv>MK$qJ6ispB^$i!30mmO8J>UIe2I{GOcG3o4FxV?aNSuns=?5md8QIR$KZu
z_>e(ZVt`t9Ibk*;CW9Ctm)R&3NRZhm<{wE|i`jSwfa`O=;&)~?{t-Tr*+@_GV>VvA
zx7uOeSGaxx9%k|zkQ=-Pq}gr{rsOHy{4kre80_;ycoIStMC
z%0{}+U3fz?J@np9&SXUKgE+W_F*zUWpt;-lOyEozpYH^?`)7Q98Cny@C&LJt9Pi?k
z&on;QUkz85rA}T^l9MW2HPETU{%VD7V+hs_sUn#={ysu95Py#YCRCZefKt5-I4Zoj
z?9kv`!s@pZtQN|>lheU^_$5BsH*h58@ZTV8tGQHU8*&5J)hBTcz$vYsyOYZRZy8D1
zuD2MF{P>XJ(1iOKsF5)-iwPHpopZwd6&3Bf#dU7T@C3Dnuu^_%ZJ?uG(d|*LzudcF
zb$D7$v+cQu&}Y-^TR;-4X?6v10Pf<$pbbYQep9E$02}lcqpDl`r~{4nK(zoLr^N;>
zJWx>J`RUmHpFO;L{$~&G_5ZVn_pU>9c-|ElO-D}v$a79dsMmw0BX93w+d$YI!f5hW
z;^8;K1eDW^W&KBr&9iNQ-`V=_oA^ZQKYE&<_1{IfWMJ0jNV|Rj((a}5{Bc{98RW^W
zJSu(RnV1KX*HMU>^1B4Wi2RZtl8+4;anPAn2in$xHYjs
z;Xo?)@;$Q#1(DSoW01=gE>#?>PE5$$(|vALGEcY94FezE6oOT18=HLlh)L^Raz-r4^GTrRn)4xuI0okfHk+8UX5U#t?LG
zT{7PdA2LWyEb;v8a>BWSxD8?nzhTOQV1z~rvS!7+CP{6vW?u{7`gSw$JF{j#h)-nA
z($oA{vlpWI2kbVouQ>w|iTRD$b25$Dq}3j5S=FnZG-%()I9eZzuw>2Gx}^LIU|Dt4
z6f$H#CmZSBb#M&X1ULN%nn}hJe;tRmFm~*TiXE$rM?abe=45<3JJXjynKENP4N&*b
zjQusVCd^od53*W5%c-7e#y;+9*uQ`g@#A4k)F58i+_cCnCs{XMbt#Z#AYOrgf&xtr
z1^y)LE#siiv(2|A1VduJ9>7YgIqzrNe2?2{p)HzwY{?>551Hj8eY=@Of%wBAL!)VR
z5Nc#hzhYWN6y%&%Po|=Mx3sPg8J?irldw{L%7q`#8_f+>FP0U-rCL-=piqW9x=edYwAq6-b(%86isnl6P_J0yjgM3ZBMd72rPNup@OT@b*gYZT^b5XO
zHqyQG;FwbaIW}WzIY$^z}mCq_j`4XDEN``1_a~IeB?`
zFd)CP`2#tN^Rt5qP2#^n7#GGQJl?{vZog&%W6B`>6M(sY2H|%RcRZS!VS`MXHz8uc
z8p|{YhtVKJ17X`a=S0X(kjNe)`&n`lJS~Rb_SW}RAyEK)l?Fs`J;_}0FA=tZ_!k^R
zp@nt+vUv#)z626(f12R7P*}^#UF8;c2Max>zLJO{Eq2spJ}qWoNthlhvC?WT9oa_X
zFjph6d(>%B-u68}bny~z6r(f|x)EvI0V0(MKiejM>%%!CXgE9t%^IlW$TNtaR3&e5
zPwBUSEQTQptkbg&-$h1yUZxZ`fSgb8xr_E-e#MtS+p6{T6JS28^(B#%%Hw3>2voi`
zmye~~nhZve$m?d61c5i(_u6V?DGp>H7FXc>02;DUX
ztSSi1RmXHoU4b6pBs^|O_5)$UG1H^n@$f${!cM;nC*x|%P?DUzKf#+}U4;h{y
z>g%vlexgcMWKmie%7vOrQimpkcjtymRXOo>P%R)Hi#pDwbKU_B`|Lb4OzOZaZ_6$x
zl_33*kk1$Gr&w|FhyjmRe22=;gz
zO*ngo#upr0b56SH=r;Y1#8pZkVxH69>BIhM(6IS@{3D`~Tap8q?|sJrYp!Tj$2*V!
zuiBZ5e-3Tu;=M-*2-jSOUsZBKxea0HmUs%S2>fpLo;}ljCj+I*OovPtBq843Ma+~i
zYK1lKuf$`f#41C|fW;?5%EuEkh2NP^$4uR%+
z@Pvq5d=fAcTO$|Ia{g6_wEQjElqQH>fI^k+bs5d+^SDkn(w#jxJ`X}DE$e$qGL#G?
zeg=+dVH^cVD~7PUlP?!I@WcA3>+t
zDMNCh<^-fF6_HF8{j^K2vXW`z=OGLO@pCvRLi^}^Ypim?q*#4$Ig`+LXM(;$Zh)N2
zi&ur9Mp&ZvVkJpzm@fS3g9i3k2+NPv3ytF~BMI8|76VHEX~=NMczh$&$S^X6@rc9D
zIW@kVie@hY1J?~74H=%G)`ziDeroaa66k2LuN~ewu5R*X+;5T!41dfn&p`HAdxNRh~t0b(&Hu@%j>)S8F@60wj`f_0#
z(bN3cMpx7)r<$$K$Yix$t2alQqj7btlW8c?wa`guxj(6+t%n|Lr?dE6YiqWI!@xoC
z?WEd6>z*@**$J0+FTVM*Ga*>FvpHHz&|@CuW@YW=gVAM`YI_WV>GzI+)i+k%9La*w
z+RHD8G=`Wa5*8DylzPS@eJzkmwZUp%lKn1Y1_5RX#pp=inn2VX;btF
z!CXYpSlfCtzG-`J`Zr*tn-w>AKp2$Za$sj9
zmn#vdy4vrq8JTQWrYEZHVY$c}9&5I$!_2Cj>n;V?K)o{86`4D&9N@ID6IfFg_8J&<
z|19jg5QogdK7^!;%+v@#Lv@sGHlWK@sz)q2rWnvCMIJP%?&EIjpvZaQWf{mxWAzb(@dxlc}#H!e~bLzaiKXrsV6f
z(rT`?vUmQ@6>2OhF=`K84@9ReKzz9N$(--Zm_ZPh#aBK-Xc
zP`>d+$B_mSc`qf>QoDgB&RiZ;OS#9octT>W>nsA|Z?@<)qsj7rAOn?(R}>lFX9{6a
zeyhWMR5W|(mve!>{0TY}x+#w^@cq9fSSi1pUbuUz+^Lr*cFji2;uUf^M)}1m(Riyl
z$&dAr(q{Tvuz1nx30;e}0AxQo1V2Rf6QPFBfKkYfcu3nAqap5dW30d|(Dc3#2)4hTq%KW2J93XhRbcU#L6`#e7X1+AQf*fg$-PoWTy$l2
zIpH=yas+XaS9OUk6=5w1bH`tayA6c7Cb`4nHXxjPwp8#ta~s?V17lk%^fW(igH2Nt
zO%`VwaA;?(kEMr_7JG0Gyq3v_(pYJKz0#>|+1YGV2csIM@$B#)W6gvfS!CbGiu`c<1iH
z34VtPhFf(S&Wt}{_|XWqN|AIM#g?(}VqD^2a%l$q1NX2{7NR>HDB>$z4?TD@3nY{ox86Z88
z^Hle`&qmY}Y{kW>?H_d{obE@0kHD*;YJegh_V?r?Fz+dpz+3!179cPKB#^+_#rfW7
zvZ9Xv7_I7s2{=49<>zq693~K^c0_*CV)2hnNknOPq<|
zyat|yO`LpCe5_Wrm4$nV_cIrdBO
zlj=6i+%J_$DPS|fazXUFjP`Ulq`~-NfAk#$pS!5Ky$~3F7{3SFRyPqQ@V9M$R3a(0
zKWgI0wLfYpH?|O*B(+a>LAnF=W{%W79iqa=^IosbATj#)R)8!((N|GXzreyFDRk8*
z5_=8%z2G7%T!TE!LHv{?p^dahU_`2rxj7xtz=ihPga+WX!z1&eO8lg@*Q?MjzCv%$
z58n?MnGS^+WAKb8RXgziD<-C^ZTS1Ni6^&isGKnfC8qK38COhS-Qe%9Xu-p-Y5wMl
z>0Q%Mj{gT0uWnp{FQ^0*WIyRW{%TdL4ea2CY6bp8_+plRSFo8gSg%mGH3cz@^rGC@
z3s21IG*Toa4r&o5CD38G3@;6mP_98PA_=u>5d0LTLHtP)b{XyYIfiSH>j^%0(Oxvj
z4bXNj4I+`0(jX>|TpGkut|Z8aQF1=6PRQKNUk4=F>@z-fX=3trk6piB6PNYth5O(r
z?S0ZaO;giBL_7t0v_Mij>82%%4m(W9Q}mU)?&C80mAn3M5dMLj@+Xp2{>stvvchO#S>pP(B
zT)I^vDWzLY9JzF>rQDhf7D()>tdgL;%=WX{doBa9f$V)2?W-l`5N35@ulT)Udt2ox
zxN8~@8R;R`Idg9>mU1UKh@Wt@s|0Ye*nq@ft(E22&AInq7uf$kxOlBgpcS+18vua
ztS0TTR(%xxx9rYsOjiWXT{u+0ni-0&n8n;D=r6rN)O
ztgYW9X374!V4Kd~ZXQF_aB(>oDmi>>_$f$SmLQ76Ou&BV5I)Ih(GMY?3a%yy-9>v5
znCqbJTmmD}loA*dOD=)2l-t#JrjqFH_P=cqQgaO1LOPT|yg(s+qit_7D#5nM1ao}X
z;M^xkOWxIDP;Z){Ir#>!iJlcbS9e
zg8MvbPGQY97x>9C?bK8&^$zURjLyK-Bhff_Nfm90jemBA)~YUHVU+=*9#;Px!Z_Ef7m)#}t?mTy(tFsrxu
z{%x{_W|e$1n1#!{`C8J6r2W%Dvc#wIPY{x<(vF|{EA3x1T6Bvr(uPa>mkC05(O#te
z>(F*CX_sh9NxO+9m$X~TU7nWqAjXm8@Aldf$d?IUwtRg&gD@%i@-`VSVOuQs=J3Ar
z{Ft~ep7XrYv#Ds`4m+;DQWp(3cOnw_VaK&tDPtR7*`MFTT!_L3LBoS`OtG~pRta_<11+GqFKwmEY@?AwxcbL+yM5Vm%FUzT$(v1nt|3`f*r!td<7=X+pa?7SyE&ChwyOX19UWn>bPD~;DDvM(Jr@PEMBh)8l2i<26-w12*
z_V8$Hw%lkeK_?9!AAs?k^D*jrX3B{>w*4F
zUg+ake3h=fb<%r}to?=9E)?il9;$W)B;-@$PE
z7vsDR$ON+r=2bluB#44~{~lR3Pr9dp8$gRk<>+cq@Dce}2%EQzWZC#)
zWY>ZCLNC{stl2T3=6Gtwmi>2I&b`Fp@>pBX6WSgyd
z&0#XepO%3}#TZA{_L(eLlxJ?bii-BlnehNLr!t(I>IegOX1oi#rGsIn|O
zNI-FaJxN+pzdy-64pnExFNSLQgR?Ur%B9VI06k{-p@@sVmt9WytB@Q)T;$bQVgWDA
zfS?7uFt{XlSQhYv^Z%c`H-VG8s1nDGNjL_OTfkx9%Q+oLCJ+Q6gg}T1L?FZ@2mwRv
z%=BdX%gpr9-IEXwK~#jbU0odoMG;-kpSrFGuIKK0;eqG69*e88;I-=Cdw0ckcmMCb
zI=)r)t*UQTcTZ2)_4AQ@r|Ww4u6p&}t18chO<2x0@Pli`2A;lVX9K^Ac22k2lkf1+yt>%EqQq0{3n{RKcLb?FG((qC+}GBl=rOOHeOcwODn
zuaE<@UOY!zdYwMDJDv}eHyk
zCjYv?>U@)L;O5m&eiFE4;D0?j&ipjDw7d8G8O*so|1)6r-P`lO7IDe<{CkXu(I)mB
zfGlX|KgxIhn{WZxv`N^dCA?O0auJ!J7*Uv-hV;8~V$`CGMzdeJb(>sP8>x&ZrJ=^e
z2;>%_QkGV1uZELaB7Fy9qCb5bM~GO?4Q*?=ZhFrm=wD_8o&EFKAB#bju!=v7jRv>|
zZObdM9=!4BkwA`N325aJYhp;|gedSzd@X7s+$-@VXyoupV3E4gTMYLouf&gx{=8f%
zyb_NReD12Mg&*sc_zCo_+VO9~zinO#iKLuY!o-owD`Ba3xSa!}Ft;2PK)%i1yf!}V
zFuqWLM#U?EtnIV96tBbsRJChfiR2=k;oMYLyb=T0C|nYs9^{n}s-Nu;q(X16aYoVh
z+5^E)kHHKPdOy))^>)C>FrGOgyk8qN1PVTw9XE9P3S{(;G#I!wrSCOm#zx9RvM1K
zY^#nm=>BNyZP5K5Oo+X*w~kb|}%almX!w)sGQ%=%0?sm6QG}F^y!e9dr;XjbyAxr^XliQLk
z_BdTlggTYaqbDgBt7DKREb9xf(STqsP|%h)bmK3dTPfD1EHgvrGhy_o{6!3kiHn`N
zMy`!Q19y#F4UHVG5iC-9u~XMb!|2b;+rl+6Mew<+s(XxB*T^*Vt-3}|!M|;;5s9Rn
zYsAEn%Qa%Dw>XM1q^4-awF8}Ej_qEcP~+kSZ&wx|9rxAzrl`$S)qla;YGH~bCCm%I
z2~tRx!~bt#57CvUrg%arR)ZtsBXCy~J3dZ7pkUaKh-W5_a2kq%jCA>T1CS~wyV(h6
z#wFt&G&3M*{?0ZmQu`~Ej03cJ3lq)wRg#!&`cE2T_+jShO@B);yQ`|wlHLiG!*}HA
zr=fa~v`EC|q{YOWOIj@T1}_Wb6N$xEa1-EobHrj9d20cxb28%XQk)Wdc0jK@)dm-^
zKwrdpRJGWJx!1;WwE-`*aB&iUN|X{~?!8WDemA!v3V2%80&G;U+A0Z-&tXRDntB}~
zRZEtL7#4*QhHKN~BXpu2?gqwvG)A+y;G==pBnuDj53WwK3$ljC%5aVyZVeX8YyMD>
zejCev%IE?Y+HX2Sj*UVH*DgmxBj2VlLQ+3^Ajt8)@RDw`T;EY?&ZNgd-$9akBmv=)
zLM&Ca9MrprVTM`Moe)A|uzOvC6q^uxMUGaw!wblOEX?H%SvX4GyrT=>pD>h#!S8Rx
zeScybBqhq?`@0il-gl}9%bD-53=?C%Kl+*--yb_wbi>3rJwG3tjuddJNOawSmrpxY
zB>Izny&k6^-DpZ*&^z#c#+xu465o8F!(k__Q|
zOFjcK=h?a*rrSNw);AD&Ji}JPHcdM;kGg)1|3C;_SkHY
    CJdst*re|TjU4VPEK<$a!cBU?d81>E{=EDs+*d~veD12MnIG%E
zIu80)&HV2IQLXMPiKN_y+{BS${8V
ziM>3MBZ`Z>DoX6-#kwz6Fn=Symlw8|#sUQ~nL#NiLe@?y!OSi{S
ztLY!fM=d^59JOxukJkpZ7#JNmiz%yQ=C}jtzc&4fKMdnA>g+SMdkMif
zQ!y$2Zm0y4{5|yL^Azdn7b^YJCtn7`?2TEBu;k3N7P5hCk%nF6`sB=A=@((hR404-
zC4{vY0T=^(8$vvg-i@Q1Mps|>OTYUbdjN3g3SNqW_&n~)&W%IpvEVg@H{lURW*vayr{&n
zx>YSp_a#5@0fqb?r>*#xVM{@hv;
z5zW*4R}y^gs+vGO22`<$56M^h8k7_@X?QjC9i&hhl8ng$Ma9xGAHQ{CY-wk*d>l)%
zwvK22gR5yfL+_YHJdelW85X77!e#QJYvHog8}Q4UBwMSXBB)EV_hOZDQUO{cRmw9U
zY><>j$7|(GmB3GMt36&hR4EUS$+v_--O$d*sZ|O>5O0p+BCbvDqv-;1@&|~pC`y|w
zq-hEf<9|tNk;eNQqffV*P&CR12}XC-PBh9#pzk1!A`zA2bQ4c5PPf!6A*TnigG6I1
zybbWbIc72c-&=s}Nd7+yLoucR&~MS~Ul`T-RTOh^0r)x1*D3&5)NKJ+uwL)e&DDwk
z%!5W=ixt;M<}jH_BbU^@pzk07kci3&fQcuU09fjsi~YIxtQNlZxJ$o7(ZnEAJGUzz#O$$1kNl#cclJ5XL8zUoeLnwP|=hGS)6ioBhD2
z%&nFS_6gnfM98=&ss{O#A}+4w4CpsGLlgcyh^v
zrQW$H6Ya7`CLWqgEq|E50_LY
zCTiQ|rO(ELLIIKX<1g1)+s#`z5iTmnKqH4U4vV5hrSQG>XBa*DA>{73rxS$ks+|bR
zInZ~Iphz_31jWRXOHeHJO2G_~Nkw=Y5CL<{ViD*sKz2?9yj_a>Hr^fJ<>u%AF?bqy
zX5b#?5dVx$B52~h
zX}c<@Aj&&-z-qdy+8oP#^l;B5bJGKNb<{`3NF8+py!GcX=%SM&FAd-=&IO3pE^|TT
z`J;EoOix7q--(UFxnaI=s$0SwKxitK1S9X`CxfBtKr6C=gVf?Dh)!1PpU3%3Sz>?2?*D^i>0a+1NF{o6Yr8?+U^1LrU{RC0VU!2
z_W~p%KXSc^{1_!X-qFR0JCSk~b>dEB(Mj>JoVX)Tujj-ama`Lg7a}vzi97o8p1AYR
zi601@e~4g<^kn?RR7kyHDLwu$h~DxP2`v{RUC{^NU@?R4atR%M<)C}X!7##rnax;A
z-vYlYXE&E%Cf5??246B!8<~b19x7ueY@NYCx>Ap2e6e~7uU8%$gnEm%&Y;Te8|xq2
zpE3Q|V#vElz{1~e(F811EIw=vIW6i0=TadU^2MJj>SnF2Xp0k5%X^C4e1SaxYBTDD^wV19m^1Nt}9Pv
zrgaRfvBWWZ<7i|CT5GbiQ-31kt>~$5Q4en5xnv$-A{Cfuy<-zg{@bt{myU9>VK=1a
zO(ti6K{2b&rgo4^=AD<+6YvGEv2}o6Kz!r3A179yH<0sznHjI^*
zj8sQQryKZH9@z;ge%Jw|^KBomOf>pd*QR#Yt2@S;Non<>WZ7w_pOY+sf0ivvGLS|p
zJ1gUOY?WvHfyRB}0Gu)LEsTk8k}PSvxX5H;e2{rA*h7&WjZ@yY8Pj}#d^_sp31pVh
zdIi#sYokrb@2V_McGsqpVMw#9S4My%>ecPjO~@2#CgsVIrH~{95>g%A-3LE_V-NN$
zP4Mg>|3LaDrh!(Hi`HL}T(oBWnvJV2O*UL{;ico=`Qo&yYkymJQRg!WBM
zZy&EV#$aQ!eK$2+i*Rh>a3pKdaY(!>w>eKh$TQw)G2Z#JSl&tR!WPF|vd~4(-2PdxoYFaRqHozIhS^v
zH7Et?W&KnqrpBwd6)o56+LZE}a=v)~E`NWX3rFA-e~Cmkxuim_&MYWdQoyLRmw+A%pjRIBe;3cX+t
zjioD@g90JmW>9hLez~|G?ZcADP4ZWgOhZnC_ZnllcXpIGJYBEO
zr0;_^Xi2`2!wQQEWLN=>WY_eUWhS~2ZCM|Mj(dvEkL}rc54KJf2Og3VB{QQIbXauo
ztc|Nk9-DAleQfm~dq~hpn9*MoKeYM;B&GZ%mdmbLaYD0lLvwjDNKg*0T%4>JsWgVS
z!EuRg0Pip?#xN;>}xDXOUao{@;iFqRG_YIGc95oqyMm7M|CE!nnS!NsFL*mA-5dU+Z59Q39tVEU
z(3AcVJEH@5`>Rjx>?4>+NP6~z4$QvK_HC{LuQIX1)9$5_$u_p3YAlrqUy3{0rE(+F
zS_o-g)sdNWKLB1orGQS1oAI!KiX?N#oPHCK7I6OW2nm3GIBJFxvd8vH?}m{G2-I<3
z1s4UQ1|2Z_Hm7poHH}AIScZjbd7>ODVTYpF(Ge8gy?GTyZOWfurb7k|H9v6c5J$)Q
znUr&|4;DP%iw&O*Mw;SWV-Q{D<4&GD1N!pj@$E%=gD~U~)l)GVJH5p44`;I)>Cy>GN=Y-~-~*
z6z(sb`_yHG<7m!lsSu`Jn`D_d!&H1slhYMUlR<~lk_+1q>(#JO1h@jhJ`3dp!Ct(p
z5*^H3oYW?_ZKoZ0eYf=?y}iW9T+i@7C9z4*-0r1x;DYpg*-7j9b7VhAG}Gd&y@z*5
z9$(B#)31?QNY$uBzYt3)K)a4r)3Nwki2$38;k^Ls)zH+ZoQ+$F{(`FOkng8(f(8Cu
zG0Z~yO`psA+MmmN+L?=c>mjDj??K48EPVySNR*y^v!`{SA%E^W5HbjJHqdT>xMLfL
zj2~tOeH&5D%^-#iTAyx0#JFxjNZ+Rn-MY
zagT=n>`8zQSg?_yK5Xhdk?Tp&i0#sol3@X2ks625%uGf-{h(pMIjEzIKKgE97~dO!57hKqjytdLob(pKzG8KSfar|;hfFvJ$OdDj@&Th`7@`5*ieX1b-FnM!`oW#pOcj!SLw=xwhu&&yis
zofst5Qc<Vp|Jxk{ul7CZ#74b<|o7dNLBqO!#5}^yONT+ZW7*1BjvSg
z4DR=U5KmcVrD3=T;y38}t&BiWk%xR(+}WzzG+ThnllGg$99fKaMA4n=x!Z}ufu{NM
zo>&y6=L!>6?=^aKt1cu5*K+p|gzl=UmW!3aH$dM(GAPlM6Au$hF7dF`TiyY?NYb}D
z=>~4PL#Y|ilo;62oO-7mV;(VfqOvQmj4)&+6EoLU@8dfezMhn47
z!Ekk;JNd{#+VeO7s9^CW>K{{FPo(A{8l$N1S3-Xc8!%wlM?hVuOP-&iJoim(?Icw#
zxo>0}dQ$VSoF%_q1ruYbdGwV_ej^7}F8R$&-$I7t;0XsjfG2|_Ix1iLgN_V8UzUHyJOVyH-vPqU0NwN=
z7?j8VB|}TRtE3dgONCtPmDyg?VBJRH^~87H_nkWk?1&E@yOT9`PqDhA@Rrz
zL+QQPSw0@QpTbJQX`}t7Yx4hB0Md~dB0b6xB2D*$0*!78RI~4%OWzH^JEM{rs&XE=
zozSjhkDQ1~A`qYqDJscmLhiU5IARNVurmK>;80UAOFW=g)bBJb;{1}?X$2cE?R?Jg{w2!}CZ;q84u_tndPc0)y
zV*vCIP>%;dzl5J=0QAty%Ju8$nq0Aw$nyWJWs(old7DXj{15L|@TkrTwt(Z@t__4f
z1sCnc9M24oIii)q!pRVJG#~xtyS3e_O(R2Md#!KIl#!NKf|?dU3rzbgl9QEXWHy42
zCm`{iM-2jlkH^YRS}&M8dqE<5PU4TtB@S#hg*X0q7BuxKP7#DVfvxh(sQPTiA2+r?
zm-X$;Mc<^Tszywm#~(9BOHW4_dli2?Brk>T5M%~q&fs|(0Nt^{L*^C>LEeDa<~9#Q
z2x-Nm5jS%fg8VZ+zEE)9r9`+(UV@DVI9;ExA;`BzO`W^u-vo^uAxJDz^|NL0h9ExD+Zh_*K;R8BZr>Dq9{F=xyv2C@fAjoeh9gi
zJBJ{2SM5XwS3=)GT27)VCmtr2T;gG=*Gcd&6PiwXft`;DSFtE11q8{7lDA6{g1jd{
zKzZ;9&60u*x(GqOh{_dN
z5(}S!61{a0O_W{((N`}*iV5IcWy-LSV##P_u(Ca*h(r0LN)0IOQUm#au$`!e!0JxwCqZPg$L>Mmv;Pv)7EYB8&(GESp4|2Nmo%?E&6;N3{ptN2B|^w_URL849G`o_T1WI(h}mwO
zba{B3RIIdFurxc_t{*Iy!BWvg2Jy6rsQ_Of-WM^I_gWZTcJ<8WXS|#c7&iTT*-7h;
zIkt%;+UF#8`dx_#o89D%oqijd`j!L{K;*I0Z&3BwjGg|j{kiM`pLsX
z3s(`0?y9PHEjEC<75Y{~3&-K#6hK8*$E_0G_tBp+M1==Xo9)b$57J2h^+oNB`vPd>
zTMJYSr&Cb5g8*t2hJ69ld)t|*
z6;$m>9kcaoi+;WXhY7Nt)X5F{r`-Y!J|^_+lSdE^bvk^>2Y=@79V
zIq_DfJ%O9!=`nbtK+
zLop-}o1rQF9(Lvl#AefB5i%Kwl?8HjCbQ%h1;7ObVy*D?AQ1aY0N&}i%Ye!`?mi6d
zI(FQNKr8|QCItmz8Fk2O_fd{mtJkii7;Uq8)brpiy4Y*$f5(B?qp|n)01xDDf4YjJM#Kemo>qe)9It!Ann$`yA!-i-vVsdE
z08m#SYhfAd&>Ws<{SqHv=sWL1BYZ|*z(xa{xKG%C
z>`$Vm&I1*XK_f>%7K_w=&9U4|7BidSy1W8eL1yCt+3!)+Ctg6d8bx=m=PJbEK+}9c
z7K@_vToyBM1PGpQ^cW=jHxY#Hs-4K-ZP0g+mXm18iHC_Lmv~s}?GXW46Ru)W+Fn4A
zoG5v_6am?X0|b;u;Lt27a6yQG?1M~}yLF=VGf@o81G1mQMg>-s;@i8>6_E8hMyx^E
zZgeGG7Oigd1}=|p#^8{`bN>*)aGW&|*Ij0f$l&bnVx}hy?O$V~a2ClFt;P0q=-z#<
z(Y5)kC{#;u)@jx(0Dye9l~}pw71tBNSwv$L_5GTO2WLMGIz(Lu-Izno$FH&#`#nij
zOK_G9Mo(}S%USsIT)+Vf&eB&d{7K%dnBc64Gyr%qI;10`FgSZL!bHK@brL%I%0Z_F
zXR|>{=?(DSp7I3!5_~dn$&N}5Zm6s8Uc#OfoT-TWf|Z*35e)HIeOWvRkDSvt)<3pC
zqndnBen0UrB-^Bw#tsrcv`#i|%7kaqo7M98a1CBbpm)$YG(2<>T3ss7^lHEnD8H-l
zA8-Q%ZNtY7gceuG7Br93U{l(jzjdTF$R=^FdB>(X*_qbKtmcvetQZmP4Af4a@G>D9
zn%cd5q&AH2l*8+H@Ek=UVDQu)U@Daae&W1C&spq=18~OVyBL#COO~}cUsZ=9)A0j)
z1iL7*rg6>_@Hu+ULQg=*GhVub@zRT8c`1D%wm9aJg)VyjpL|T7bHxA2xo12z!+7eI
z?ef&VE}nWx&)%)~JrNI&v?HDI`Qd8M0LotU>gAw7i2DsHj@>U8`=fnW64y=mD@mrI
zjHh=RW4X5g6oQ(rS7*|9K^t7(-pFBP(FCB8?7H=2q*#6?nT;%LU)8e3h*f45QaQ*9?
z3kvflkIFxhQQMwYhMU0;VU!G-Y7V&8A3AZvVv%B`7Rz)L(*)YFxbeWAsI!Qd
zkib3_%(txRv!Nc(Z#)S<&HTo9t{yKp8p(8{0{6kx_&qTr@G>4bmf-PV?pdP8@-|JC
z(cQFR_fX%a>Fv}Ku9BIUZZwnX#MF3YqB7Z}=Qsz;Q&Z!+OCZIS@kN6?8*Xv3Ypgmv
z);ChE11neI;1-luN2|~UKH*7~ho(=vrZH6+h94IvJ8L&o#rmAa(D1W(DF$
zZ@Wi@`O({6+a;)_$fQ>z{=v7#$q?pS12bxm=@1QS*mq(wf-FA!ZophoS&y9G+3qIYA6}6Vy0o>B56RRi|4Xt4*$6j#`66%`
zzCm`wCM?oYQZTQI?=Wt@>1@08Mq6|@Kq#jR*yQfx!6G$;r|keZoqnUj
z_%ve~Rpu^slD;ZB%@%CcNB8o(NS~YsjeL4nwfbWdMfZZf)fB2v0(vs@AC(-xxksWj
zmqKM?)RjVIsdr)!<46>?!s>%wF~=(M$@Ql{C6@8igJ-Fr3>EA#L;}-42K37F6ol#!
zs?ZCv$WsssUy8IPPvIyaam$mZfaNR`;1c|z`?BdPmkB_&U`(EZ*xAedejYr=uo_
zVx-a--qxt@*ap)Xt}IVvm1J<`%B{Q)Ffyq{<`t)0r|?+&Q}{tUQ*bZi
zf>wP0Yh}|OMhe~tv(vrF$`&^RF1N+4Lc6YQaYdv6ff4&#re0`!bshX1w7*@Qj}#QG
z%I2CM98);#T79w8b`-4@N=%_W5cKH7u{au2q4A+xT@;Qp0N2;sxH!cC^yO1bI%lan
zmh@C;8Xu=P2wJg?3i1kzQ^X@gZg2+nSc`xdA9>7Y<)Ex!X2E$-Pu%o?pJrI&e0z`p
zx9d}A_~ru~@Jq5u#y3dwf_Ck=AIXX7T7bFk3>x7{3$pmd?)2w}dFlK)`c72G(=d5rk)Lz~#9WD$CeHUrm*`ru}4
zxLlG}*O9cXxH6P~OU@!gw;6>S?mn7=Mh^E87O6WMP1!RPX@_ZZY3~Ligg_l*tPN&0
zeO7lFPNe|`dg@On3eb&6;YU_es_K`l6=aVmrRro;3J>=zWYOqk6rLXo
z^}S~M0GGM{DS%65b~o?fWVrDBElmcx%pXa`BDKFl;h7J!6%s<otB+JC%T3IpsBz;4B_oF)>*|v29{KW;
z{UFgsEO_8Hou%D;rHIIW(8#gAU{REaETriRA>n`NFrH}i>4%Yv$#DduyJ{z5ax(NC
zBqj_|+Jc(Ce;>dQ+W^hG##kFxv@=saNGG>bT-wgK>t+$dp9UngjbY#I6vOSzRPuXH
z+nMa{(sq`5XS5^gQZQO=H3!XSLQ<^x_9>uqPV;%Y6bJ5i1n5&9uR>G5VDl*ARht5O
z0HBx=Bi%CX6%6%k$zIBlYP+USSJNeR{v_r1iQzG3X)i-=qAeFH3aTA|GDo`xgoXSvYig{?lgzt8@Qv
zMyK>M2xG7FpZYy)oFze-xlb9?ImhsOU>03-45#Gfqbu5ehj`_=PYhG!B6}|)EhP78
zZCkld3A`4G_M@;nWiC{=x|2&&I`4Tflm7I7_=JRlb=zWy4NQpLv*nwp^rwtUvz{Pz
z7~&B)A_#%PFLp3C8sH-6@QdwH2~vxqX300{CqW~}4g`x-tQBt3ec4akQ1?}ld{6tS
zmB#2^rWc;Ab7?m2s_I@P*0Xg1^sQRb{|OA7#U0Rg;|Wp{r8y(l#Hh>2wbTnsc#Dbo22q;wO&;7gFg
za+VxIq15Q
zAa&s;$RdIS)pea5I(7
zFj^U!&z>lSL-~YKO_X}O9H8}@Io>lk$kw}5sn1JX*ftCysZtp>)6ZdN`BbSRoU>$(
zE@!#a{Iqy}s{quXbSW#eTDlah=6YsfCNkuQEa?eHGBSt8KwAk@zwpk>yJ!0;H1*{r
z7<;xKQgt1EB`->cUMavO-Ig%5psdTcE~#F~p9D=iguE|D7%g3GAr(v4G5bsBsH5A5
z|44#AJ$GJq45BsfJTV%4=_8%uAL%0KrmQZ0Xl^WrA7P`!N4iuUX#py5F&O(pAMb4c
zcvqR@wGM4ePfgY8&25c|a=m%|bPYlaGj|~vm#AR4tr9D%6<6o(0jpT{Fg@%$AQ^fR
z4^Ew*fXaZ&c>&%G?Yia#5b0qE3=B^P$(c%}&E;F*=O7nAFVn+PgVD78RM*qPrg60H
zq=)S?0M~U_TzXgo`tm6=owL;aTKWQL8lN6E3a!{S4SA&t>0x`W9Ym~;T;{XxP+BlS
z>{U>YCy4F9PcuPml{-PK!3_U=1l67*)`gy=#!g?4u=b~~;~sQm{|nN@z8HlY?nHYK8abS3SfuXjG^Ni%NLo~TcGARt
zU_jv&7vW6%XPT9}s;Zo0ooW99eXGtiT}z`u!JTOmwK->+iCLF3%~CHS<4bCu$TTr?
zRJVD@6moz1=>l{kQh1u!-&55+FHP*o?K-o&c?T!Mh37D6v!@pS!9m2I=pCG7)KFOQG)|F_1{giGhhDml#;;MP_?tq7c~-)@yV0VsSXQ0PT_D
zu$DHpNol;=;AxZS-4k~lOuATrkRn0ib6-e-ewL1Y-ftTkeAC
z4@pk)7~N>}=;n7sJQs~!1fjcXC!%pP^c^G`5=}YLFtOwk4NJYVHn+zf5~;0rdjMfE
z;VBlDYYPaG6BcimBD3fd0V@&@^q_TEuTtd%gXK?qYUnxck!z*kFI$aQ*sqij?v-6pxC&B
zk>QHGEMG^oh2$7Ln@<%kRKSaq2GQae8
zk0;D>sg5QTij?U_TSU)rGavPhSMovc@F(vde`sq2xr(JH!1Q57Iu8E{O`sun%buFMXX~BJ?vz~)=RtyS-)8!0oG{A+_;dI%fa*!^Gnk6@MFM>vn9UvB|j92JB@g*2V
z=O8`L7~O5@Dn{{EnvJ`vY81!1O}0bds!=?Ef75H8JP;z>CK9DNqu9i#%P6+go3$Jy
zb1biQN;yc+EI=~SgPW!(LxHC0X#u@*(^RMqVVZhD7CA^_)sP}>N%ENn7<@TMSkAJ1
z-i}|CgG67sEFUs1V{(v0)J(d0E#Q%Z!+l8;7BlERD50aT9CY2uLAqkH3MU;WW;X}P
zF-RvlNRBS&HV5g;Kr&U?hUFlA(`aRAK6?%l4&@U{H3#Vna)3F{L2{6-cR5Hulen;L
zDME6PGHj;*ik(?ZethSUcbHErZdt{Z!X;knYCOx|4(SS_5!h>&E3Ey&C%RsbQV7)csoem(Vmm2kA~|#kOh4
zEB^~}kX#l3Pbfkz^I3N&EtrG!0Mz46?!wQA9HePx_;(=(DYPeP-K2kuu=b}P=OBwM
zpw5zeVh&OP*)kf;zB}yeF~}3{u&-dF0dBWC++qIi*4HHW)(XiBOH-jjXk#>6k+i_>lyZzBC{ed}1|1LY3^Bg2E
zs#wGz)jZh?=|Le%(lmU&N`ZcEGb=#7!v2!tPhR+gM|CZ&D@w1o`T%I^bCVb@#C-#+
za~EPpsdOKNvFABRe){M>Ak{Umt%k4tfR<&CCjF3kQMsV)%ed7D&NS@P29ZW%PUjzbM~`zH%8oWJt#3
z8;J;+bm>~adnzn)o;#1Qm_hd~2_1dqpi}dWGUS!g`ZX}X$ug;b$#AV+Sz=xox&%zC
z>G8@;W$Xla@a&|mGfImgY%yfEz}LF5MR{xxS}fW+g9~`ySpV4mOudXPhBe_d&_er(
z>qD6%wlsE-_@UJ=p<-i@eJ48RaW!w9Y+d~cU*|5f;!)XxAU+!)Ztp4U
zk=D@+CFhz?l+mP2z%zN*m3LI=4*o`UVtSlj+k=k#c*pRHJY1YL
z0X)-yV`obn&D!u-89$SHrA#lsFM)U8N2eR`NZ*q3$WHzm{8YWR9o~>{^sTNP5-2(@sApSpxqoTb4c00z>SqjMt{%0a=+b{=@+|W84Khh;g5c{{%BGUV+(L
z#!w_hlJwGq&C{zRj$KZio0vm$#8iR=sp6xP_J&EZo>Q`EQJ>wfIX|DyZhjW>B$j(LI62O9$dU={T0bYYu2yXxa!hm!xa}^x^8s>|6j9y
z)0*TtKziUG;Ky>KZ)$owoGcitj3nE4)9s~e5spn9j$|#IO&B3AmCW)4ggoP#LmAf`
z9LqK7LD=G$OBTB5`8$)I8QDhg_6xiib_}ErKH!>Ipxdr0oZ#4ANv0c>(dqHUeL&#k
z%5|GBzWj>K$*T2Rk}Fqj+_-A}<}K$!O;8_D3UbT(sZLCdSAk-{DR7FT35P^R`z~9v
zarMPef7ONSE?u{IO9DKycHQRnYc_34)?U6bS(R*9wQ=*h)mL1)Y9sK&#toNmS~HX+
zn}F5;Szi#h;L9Nsu%w}qDp$ud_3?jl?io)V$9U@4c6n-F7f-!p3n+mG(0+U*87uFs
zfHD}aRCfa9%kX-|6w;meil|qatklcn$p)0?;pEclaAmSl=_`-dVC6y%f|{Aa0n)D<
zO(tv2#qg$5C0Q}nY)&m-x^&mBT|+x2r-y3w9ZR7X?4hxAC6oLT*yq)r0hC?+)yqMF
z5K9ayj@>Vp^`m`Q5=W^0l_b-U3+^mqEYDVLuR3UndUYl}8`_}7_(l#ZEGiI#0UF7!
z=`YJnGTTiKHYsGho0pr^1pO2UQqx>P%66>
z5-k95kjciDSb)7wNxzSB0d^!*75hV<(A&Hd@(7oV;Xe^b2
zxD4Vne>$aqchx*L6i%3JQvypggXwCqbq7)CVkC(kjA}I3UD9<
zBEZ37wmpSibMVu>zvn{<_nPMSZ5^UK-K%!2Kgjz(*ay=h
zd$C&CYE9Z~-WZ#Y7({1_xE$vHLX>USdr%$3Izd$*aJnCW5ud~SYZ#EZevw)%hgnP$
zy`PjTH!uf_4zUW-&$mP(ccJYwfFuA%4%j}wfhLT*6raw}#>!N^(x^-}h0g|zaL&NV
z_A2;kDihUVFu+NMArOOiiLhm(qt9D3=!(F0bpO0OwJuXF(%o<|idXabS_^
z{nE4(^Be1z2+oK3h~<&KCBu;-8aDcKs}YoJo@n(vg3n!5)iJSgrV8|}#+h_wBh^cP
zDv^|nGnqJY#hEPi4$f0u;;UsT1bH=kaT^3oUi;IF3ebm>zOIZ%V>i*Q33bX2y6sTx7h=13o&Hx
z+3^17CgMq0D$(GMeoHh7ngQQ1ru)xRn00pKsy_o@|XHDbXqnpxl%2Y$t(rwRe#b^`elg?+pf^Nd-+0vya;<-yxbO8oty6&
znbOZ7j2-1P1)A@zqkSyyzDp^CHD}nr2Vn2au%|r*v+aL}DCEgY3@K!Ny%+HlV%ra`
z8UaV>WFi!f^2RkYvhh`4bh|TUBUZiGW|G6wc~yW69$n)A3U#T=t<56aV&a_Kzoe{ht*P@{d`SP^7HaSvlLKuv!JMpW+
zL%=)`odHE(86nm&Og&Wz@x7h;ljIsw^^2m=z|FpsppnDu!y*-}g=XI}V`&Y*i;$Og
zn(DJ(X+Y~07-3YNOS5-Z?Zl|O0Qy#q%KrpT%XYAeQ7K7~Gb&9AxQt3my<-ZPO(L&V
zR1=hu*?+OQd3*t46>}2>G0@z6N$@@8tvWdcDJNhAK`lx*s*DdMtLi(ZC%^^D
z(%Pz%jb?drm|d3MnBG1-UT%o|Bhlm3?xAOb3S7%IU_y04nyuj`8pV;+=u48aJo*_8r3GGF%44HK}cr8-2kS<>|Ts%
zQkY~@uQaFYlbC}yI$ndko1NwH>56d9UiHlX-FSq97#Sw<%GY9CLKDI!){elZR72^%
zA`kbcKjEw_)_7gV+xAF%f)*z!{9z`A`R!3D{gC4Ch2@NVz#mh7YxQj?Lq;E_aW=$~
zsQx5TMQh=oV(=vPM~`Ep0j^1l_eamvw4b^~QYDkNLHI)^hsq9!rvT~RZeuOtyCCCN
zeZB{$OvMH9g*a+_05o!Jgs@1pB?>n}Pt8m#b@qZ%u3~)_CmW-Bxm#>#PM}%1t9G)X
zDM8=rhUPKg5bK6UqB6IkF)``d&{*m{&BHblaV=jh&=_XF-dzEmyyz=HsIrkki3!}u
z{5w@G7W2I~vZY0Ej{IBBm;}5W#VQ{KMFP0E78`{N_#%~)6XyFWH5M`71uWrtA6P^S
zIh|HSBbY-yX5vK8S~xusL0zWjevF=Ur@El2_M1cm(e)KE(-VsOW!Na3u3Iu)MJGu{
zKsyT~Nw=zQPVjbkxFeRQxv_i-XMM4wdpl%Wi0nqTmVwj<_hN)1-x`b&Rnw*CLbLEY
zNg|*N(uZ$?(P?R!pWK`n6T-5BwFS_{?yk_8<6}n4Fr^=h3N~`wH0PNC$423r
z?09lCt*O`H1i_Le$+}6{hgC-sb=@K$OE&vW%dqIndJ@x8f6}LR*mb%D`{}^l?gv97
zpC=?jdwujk&~5udGF`J=-%)AKq)&yugLv=&0>Wv78S{dAhgoqd(cvgZyUXaSn5X*)
zHa{+Tz5=pI6i<6cPq_nG?9jv}!r$l~OegG5g>yx6t;K;%YtddT9|2BuD%qIniawwm
zmNN(Pa{vd-flObs<3K)*e5|#Ja&a(RPQNakS6(c4+F;bcWCO`GM8B&o?7QdJDqX6QA!vCVRTm95VQF&fZagw`p1S|Www37_((W-Nxp?_1=N(hlYSJ(?@vF>!4SGsmpWAi
z;vDe!?3~IKq3(eUb+hlG`*I9|gn9HuY&5|6zSu*zi4!$v$dWo4dM5ot4!X_Y|7L&k
zeLgaRNK?o&g^{x$Gzj<9i9aP%kREl{Us2**sVGKDO3xe1E
zmGl|?hXH|?$A!D@_cSASRn-iPO=^7{`c}=r58~f+c?v)8ATCdlXwA9nOsu+0MN7R?
zBA7@bvK7+`^olvI*G41v&vy$Du56W1yaLV2&r#K4cb?cA3DMv?Cpmu-jb-CHE4#Tv
z*(xo?M&Y{P1X{uJTP4x~TOn%X
znt*T#0G6ui2kIRz_evU4C9Pc*fUV8mirM-Cg3iw=e7A(062;cu(Zy~_td?Sh_c!9Z
zC1IUN#wQVYK*-G;tqXSZ}N?kxCaJMp>arx}Y58CJ^1Dc5ladnhIC
zCf98Ve{mZX2H#=O$g$7E
zB6VG{x$=LbCd!ygE*G0DRo_I3Smxpz>N8(rKpQprt;((sg)h)N{x3kFZ)wF|
zc`!lf9HBD3Ad75tv1CYHU@?y`1aN)X=vdCo<0gKQc}!okV;-M@mgAI2O$&`Dm>wz9
zES4R1U=AxrgY2$EUkz(i;Q(zWLMa%(O0Fek|1!X^s+)8%4zzjilAW|}o&%d#;>Kp{
z?#1wBF?6*O&B|3vKwXGGbRcg-GOKcv1@muUAsZ52FM%(r!tdtOe?y4RF*X$
zbDQ$Q@n%YJJ6Eb;+1BwQ3`iLtuVmJi@J>U#zf8GFcy)s8hL>g+2+kn{lHJqqAinz3
zZ*jDV1wq#phG9q%k-63eMD1^6)Xv+^-A-Hnc?^z(@%&S4G{B{`*m!;!NmwIiIn&RW
zUOklYlRf{(l5X~VR&fyBFstd!8b^srNMxnwGOQLEgB)U%_k(mg2YdbS#
zBmzq_w|T`9Rj0W&uaZi;03|swTBqhtSY=W?`S2
z-qNk9IzdAI%!1QElhe!@2w{_q=YwN8+dO7s-RTj-eJE<;b=9Hr*&I2{q
zLL=V-6d}a9%$#B9JBUNCCLmna9G0rO3hFIu1LJZnYpXTbawZ(b(sE@1ausPo28@yx
z@8}|EA)GzJso-zKb9#h7P|AZPXhC~GPfib(v!KOa!o*n6g1%-aXt4}k{o>`L(3nMb
z5x8=#w35mr`s*NMaa8697QL15!yd5MU!8^Uwdg-eCMJXI!vvf
zR|ve=q7`tzIN-_>tWXQIScOu6>V&n|k@gKa-{?riSD~p-SsIawhXSkfNJU17^os~%
zPa+kEApi6TFavH$E?xP2jb*s`5tK+zc*xJl%T=u+*O}
z#D4%;LiOvq!4{sFW9cUnKbb>qec!g*(TS(Uph#GXM_{7?E}_NIiCakp<$@FVD_$xI
z*S@n4$EG${j|C=VD^pywgM<
zx-b$k+0NkCK_lN1t71Cc0+k~o5mQjTT}*o;5qGpR(?B#A^EY?g6<5>+;Wh05{VHfQ
zTjaT?6Y}_?5P#LqOc{B=h|GCSute2mu6?Ve-YG&!SE2b5!{N}jc
zO&@uoO9fO__Nlo11@2Q1qpDqtIegDRyIUJ8ew~N0QTS@T2#>r8dhqNM^@gM@)F76h
zh!z<^BN_oce;G4zqUX;E^L_;JvqXrXF4I$sAQVRx_P<^iCqLNSU$-wd3a9Hj!y}io
zCW6f`qPxv;2U;Lj10NSW^A1+M0H}i2!~p=7j5|v-0n1d4XtC}9J+^4VGmMsQ;&+0A
zd^EvnWXWmfq6uM>jOBsLdV+vrsN#4aw$m3h0s*Sd=mYXmX%gG%Dh*jhSSuaXXyrYX4f^f+QN0Pr0
zk0A(Gos}LT5KeF4A$H9A?2_tXjaTtPQ`7xt(Re9hY&+)$^YOZyCV<5KQCNrve>#Z4|b+S$H)x
za)bo1NHxbSn?~K?e2lT!8u$@QUQsnED6|ST3@F@+8VxOeFky;j<*uq4yRqSbY3N%u
zc2C2#7s4F^2X&P)T*
zT*TdccUM$R7lO~W1MsJy(QJ|Cb8(~rqb=u=Kzyp|#kDK6)H@%&z(S?Aqh%#_TOD@=
z3%LoQcLPTL-zy79qwE=RISbq~uBNJ8^XLDMK_Is}MR2*__fOa;eDz(tiLbESEMsZ>
zyYR&t_u+xKMj5T++5uq?YUnKL#Q+iZ0BGTpIfbx@sV);X(y>1jGd)4zQ?XGvf!FwL
zfs`eBodqkpX@(=UQ4j{do&(?m@1g0q5n$xUlTFQI^USuX`S^IsQC
z8D+V-8ykgdqZPU{f1UqWfNlR`i!65F%71^V?;;>v
zMjMu@`U&a{MPfT!w_{tv%59EcEFteGK&m1k$aGN>;vHSM@r7q4%8f7FXHo_%ZhTt1
zJZ^j}XKwu8!^D^ypT1_tjlXQTHZfHluWXyDSEfS!_`ah6YJVL#@(*K9Q?<8})s4Tu
zT17ZD^dBYfk_+R2rY;P+
zYY@Il=DRE@&dYzk44zX3H+CJ~w+Cl8onyoID&g@|xYGyUNG&(n5p4FpY-4dUJq53c
zRkA#(MlwZ=Ela;!t
z%dfx}$#c!!QAg{;@K0o$tb9Y%q#!Ddy-OBq!%F7
z`_q-2_+lN82Ruh%M^|
zY&5`iP4S6xnB$5R+YIfS}#p-@&-*2EnW41ld21
zjl#+PY<;)4xjF&sTV)DXnj2wtykWRffn}*S-Ng6NN9&dAr%|>su1xLlwD?37Ry$aq
z%KWt+ryr_=E#SAKFu}Kg|43wWBTePV^sP|Y9d^lW0sjfA2eISV2ng2}5KC1GL%r4A
zAb}Lp?sNwl)`Zl%T_XYeGR@qLer2+D_?q~kHNZBp*4Fmj?BUkB!nSdgN*Sbu@(kbvRnm322;AQ;m7VNKxK6c{wb+er
zHm7tIPOm2$U49F*ovh9sZw6{^$GZqX@7j*{D(Fn?co|M;`>>c(-@4;fHoVI=RwimY
zmEA7hAKHM`yEfsv=vJ_DJ542@r=tiU7~>pHp?7sww`|VRQ?UixBbDVOz0Jhk?135I0q`eyv1yUFRxp{_Z&sAaAaN`<){oX(xr-jzw%Bf;y$kgzoN
zU~9R;c_KYKSYt0W!i5fvE&FvV>=*Vp+toH}c4dZ7Umu;**K%rhb$yt99Cibzy-+eS
zDeKp8CbV;Kpt63Y?4-5l;JGtholPly3(l@5y83Bu^1Cy3Ge~o)x&@GTO;vvkIuojz
zp@dZR%Q@|fRP||!s+LTh*VG&N{R)}CFTSDV@bn7^Tz~pG4x^pPZEE_@u?17ppOF&`
zQquw-pr$3`#H#76%(T29O}sGD8Td<==9;7pdjNidyEZoL9=5SXLgpEFT;<
zag8Kbr;Cwb{pl(APs~+E>2Gj0OdSvM#s!W~VKoapfI61!6043^!H`THUx;6%j_J##
zjv2U}sN=IZtI4YmeX)#Y3n6?LP8x3&rD2_}&%XU^xYMSgB9sAoj?Ce>c9B3olczswo8pqDn^7y;ujO|yVX2=6o
zUxY@E^JQ41S_PKStbTYZPo+fyiWDbipO>J3Zj9{>j5Ym!*bY|m463EPvt9JVJn
z-P-lmp2=5A;h_mNJ5MP#J4KfrSe^RrTXg6&IuA4^BW%vx?~;2-b*~0QtBOdM=RlM5
zeA!9s`Ez4(3iQmn#d)=yYP7}q9B3M0ac&H(&MnT22I;dA#-3Q5hig7uNd%|CnE{zI
zIF|#^T{AduL)>wLlVO8wq7{gk5Q7sgHKb6Rm{HzKuu-^fg`CASks_G>IYQK*wm4uy
z3Ogts0hh;@>vIQld9!Sen>%8J3oMN4R)KVy)$@0$RfCQ8%yhTB1LFZviS5
zQxXNmwAhR;(+Akom-hzr%1ue3AB1A_f-Fo)p{AwWT1?4D00y5aiRH|cJmdypO48Tt
zn37ND)|U*BOSdkLfWISo=Z_|9oVW-#V#$m0R#uGx@dh&paVGGvg&b0Xp;#)d2>Jff60B6)!fH3=Is
zq=^*3bSFa8pEfyQLe=UrXsB{&<}AXTv?QDOpZ$rlFn%56!ZD1?IZf-G!Fp{}I>TWrbC0}MV}63dw_`A7Vs
zkT`wKjxBlij!Lu5q<>#_Qoh#?Y)bB&%=c-}+&m;-Q5crCBFV?30uJ4+D>+o;N?1;ha07{<+OKWC(J459-mhmsoVgk%eU{Q_tvBZ
z*I_S`@zb>kcYpd!4!+QNI`7+zx?U%~S$KgbFRjW@pEv9Ro=cO*pt<27|CU%H^{^!d
zMZ%_g4mKL#l2dHcty>kq6?n=Y5A%=K>J!OLgA|+IhOhArE@$6h=-ndJ-evJUK6=|d
zS)Y&I_FA=9iIP?~L4~xJ803%}8^f%&%L&YK?scJD2-v!|Mj6^JFM&j4;i;P72njItY8A9)h;6(5-qs1Pd
zW3JN%yntE5D(7P6PnUeq6^E<0N?6HRbL|m?ZY3-PFlD1*!gIgdFSR~HlOql
zIJKUbhexn*aDGBg>o5Z|XC3|vfZa9g@W2~E*>Gnb!v|T1k8!FOT89@f>ku#DcbSJ$
z5EHmi2<}b5l^^OilItqFvjaYzcO;oV9e_!Jjo6R>#AKN75gbnVKaztE_@7M^@w6BW
ziDiBXHX7j4Q*0uxG7Y+nA5^;#b`&=aQV}-|*|%yMt_kl6Ov0=$Gzpd7B%idp0a|~$
zDh7#U46K9}1xAA~1`yeS#=t35wd&)0bHLch~>-_d|HA=tdf&(Pal_pkWh87|FaVrP>L?19QW&v)#GhrEa6$(kB7S?gcQ=0Q`jPr02O+
zxmkB^{$;aCzlsy|&-;bd)Vf-;{kn!I+gG5945;c#eCU`YrI0qGEEA|{D$d^v#K
zHEZz`(3!9n89vBb{0mO?LTeFD31A?(L9sxX+xAKwE#hULt5dk%h)?M7d-W4n=W4;M(jtqZl>d`FaV
z8?JQOf!$^-;u1!uZ%-Rm@$IR<>k?7}EO%_NT_-!46W^XXyDr#k*=*8VaAG~N*A(BL
zIvuCAmI0Zw)Q#wANNhYt6Z4bGC*jTPB<3>Lg_S@qnIg
zz;&S~$@=M=5&r)4em)JM=8A2)x$x*eSX5zGDe;Qg8EbU^+Mg#>e+3%&QUANYL7&ARV*MGrA
z;dG6+)*cUrs;k!8>tR@{wf1jNP(V^5{cnrw3DP4Dqe$;JytuU{w1H4#{zlwd6DnMi
z)MBmeeT&~(!*XV=Ex|9c*63??thF=Hw4xkcOcM{a)k*~kd9uR}EH&l4hU~61g(*tb
z8w?N7CL&xE#;;O$(N<*hJg!jq`6T_dxQ&_%e=&j70hr@(E2;_mpC
zQh-OiSbH67TjhkAnWQi9-U|%3KvSRe8y6T}5m=p{1kNatZble;Vq_kgRj^STuF|80yQ19kuXNygpCHc>=YZBONm5qX+*P5XM@)R!O&|g#XuepM&EM9dWB(t
zy7@@dRQMU;2cVJTj4&3dO5bwALBGauK1@(BG=1x+{)*9`mmS4v--if3chwGzvGi-u
zx9T~2DgJFc?JJR#JMC-Y$aUJ+QZFfF1Bt#?aa|C1a}2K`Mz-Vo3y=$nQP_^i@`1MF
zeN?r0+aQm8`Hz6@`+S`Z-MoO{ew5u}vlliBm(a7(v7b}l@Te=i3Jacn!z+LX0}cJX
zBDw>s=5BQWNPqgY7)%iZ904tSW`@E5h|w-HK;(I@vtyNve9Plg
zyN8Br^~#V`(b*le%t(Cu{LB^v6PdX?Lt0CrCd2x&;5n&^E`1C{%>D4;YXCN?-YnO_
z)}LvGz!jtj*AWwVC6M@PZE-!JSdc(n=BuE0I-9|mSJcY&*eINvN@Vh`sn_A@%_U2c
z^)+S5N2_flxrs~zmJe34EwI`>#(i0TVx3ig(pjq&H9>9;+(p!I6F7nkbI))7IrJUG
zWiKWmTuUjIs%8n)dzuHc5-HwVuzZ^R7B8Q-7a&W~p2#>+T<#rRJeDaeWntj^8*$f*
z*xE=wwzytMzj$6>!*b?&`3g*oxnAgNc3dyZ&|@KTEJ8gmg9V-!(O(CS7bUex^j4~)
zU|anz`>V4M@~i(SnUxlYpBS93i)CQy`(v_`oK}vNis5*$fIg;1b
zqD|1I0u(FeA@Y8pd3Zim?V5Mx|3P;uGrBoK*#^BG8-9DFT+VJpRDscRv|jOO#MjL%0IZV3VyU_YK)oYeXq9s2t^%xT_E@}Fo=|`$
zWwAtliDGW==)#vG4CE+ZirBJ9_OYDK(fF^QF+&?D$en$6dKh<_){a
z{^SBz3h%B1Pl|H)q=2pAbfoO3OhN4IwBIC?(qeF@!QT3s9Oy=Qk?f>(;~Z?~B!(?s
z6hf5Ei=q_hUX-i=RRa4<$Jra@bfdi}_d-*j!ZW-mcL!GIUX&L}z|z;?XHUE+2WMUs
zK?rB!N(NxgiE=9d+%+f4XQ4B+4897whhc)8C@(;ygg8;){P+#8JJ^PBaD6}!|3d%qx?7qL&6Y$3>!%<0O3m?
zQrrii12H<8%FMMP68OC5gtNBcG-0$iZmZ`ygFAw(8stBtX2Ol7|A0mguL%~ZMv7&l
z5S5K`&(xpKeo)xmd5sA<(yK%zYUqZ1tK*B;~v&CXQSNpQYZh!fWE<
z0x8U`!m1$Y<_KOBjCMD_C(`?=!1v3@?|}y3BUH6(-jYkAn1<(~T#Svv#q)IZc5Gtz
zg>d}~fnvi$vZK1QGMNmLBuhUDoevFb2_6z^t9wY=8M;4xZVXb0)?1*3PmB~}ACcE(
zT1WauZj70pP|3TnQ8>+up3QK3Mv7WWu_aUZ<-v1NHCcKRG>h@``*2##NUtzmnrx;{(_zoP$>BUXdybgs>pkNDb~PMGpx-ZU`VyQ||sCPy?D3{XN
zUUOJzO-PCt+RqfAS5dymgHZzG9bI@@gh4HK0scljYenp9q)1piEu^MAo)#=;o|c1d
zhc7xXL|?PxX*m;H1fU|iey
z6iXFgck^e-$+XTa0{p7-p$l`M%jG25NzWfMGv|z6hOuwS9n}8U4DPIr4=zpyn}e{m
zLZpp7B1`8b!YKt`I$l=DDcRgAW4|byd*B~{h@TCOVE8As4jZX7hPO4UJGMz&F>oTDE|39wWXs~#~dO-yn%QS)Cy5*2**(Hj*Xy%@S$(M0F$D;M*{MfO#03RO*41EIp
z|0MW7GWVjbGq@sfH7q&+HEcmBHY~Ay@4ix_%~aIB(iMH6dhY}{m?pjpzep3)*X(HG
zMfK^)(6m9*cqJ2Rh&ceEn+{a&t+JC69IA(#qqfyXw>9f!d?2s}`Am)TPG6ifDwUD*
z*4HL0i<4$`qEee~^1qZOW02o6(%`?3RJKp=*ftK?P~+#Fwm6|b&s$p_Z$J-I_1b84
zyu$vp<|NLiDS-k5l}_Kf)V-PWi&(1L(&P8ZPFnRIyUuBLd6#)pL1xeJ&+Th1(eX$Z
zAiT2XwtuRMOafQ_?o5#lYx@TKlWY)<&?sc?B^u`L{l~6a16&k?mM$8X;b%
z`$zJTjgJ&Zw)6etwLvxpMn_~*b)K>++6Z{CqCHtvK}t)BPSmUXQ}+>da~x4e{UiB^
z%14SLYSTYn8$@MbbVSqxG?T_g%l(uZf{NO2I{jYepQVp}cg4}~UjIlw`tgx8`pr8{
z%nrWvIla?AQX7x@GV}I#$`@Vm~HfY8G>4;_rXqyBZ)%NB!#N6cH`t1J0KRX}geiui%g)j125I)NB
zkzy%#sDH#ZD8~Saq+D@zo+XoQxzfKz^R6dZGW*K?t^0^k23RgT=CuH5x12HQav&IY
zy>JYW|Knb6>stLE>Vv`0+EksG9*65%C|1IJ0Fc7YGG_49QDb_%Db5`6unN8l*I>=S
zFURX-kHdAdODTEj#mJfc=~^#?sty>$3TD>K%~qVKu$lu4RG9sYnrmV(Bf_^=VWR=T
zIcS#WGiuU>3$l$cOR_1YeYxM1#G7X-CaB_eNJ?Z(^rST%M>T_$j)lT@6-zE6pZ(4#MDbW%9U3_jcCbkG*cK=3h#QvC7lq$Cd@nWn
z)Ax-Ai;IMvI|)8_RW+6vo3QgT=v$2?UWk9&jyXvr%6F~@Q*I!u-Hr?mnkqiE*xb;|JnWc25U@7D_m
z!QUeI+*MVEPw$7y;dveDccFR^!%HOP7~aH@i{UNxP7GoMh2ewh1H+qR6*K%N3XmMh
z@YiwQQpWS^<*l@h3Ro8-4SaWAH71GGrb}opCI_$RXdT7PeI>7@*$CwlMfR|F8Q$3JG*UG
zkz{YR-v>yL2~)8Iy`_K{krK3tBq%9uuhquM4RHAsCU(IiQ={W$u-xF*xH@cyQIwMM
z$VinJvR2i}(ONPx4HZ=9lU0rayzhUA;!Q3)zbAB9We1C*WM=^)LHI4$ACk-@-3Q#E
z_vjW0MSA+6kuR6L6X`h+`VNvFiKd+Nm{@X2kEPz~Zt#l4aH}ibflQf@7R%Icx+_!9
zzU9f`3eTQG!O}NhR^gIC5wV97K@*8wV&64U?8^mg6|t{Xz_6&h
z0(Q00V~~JdNf5fLb|PTUg}#FXOrj|#U?!Ga0%ocAEWdz7v5jPfRyTVEaWmmA7PplJ
z1j{X9-Y(Mx3xEy#(`tZUgrDI<54)O+Yi3v>01vQUub`@3JHvN>6od2AIB&p41pxuY
z(|_hFIKf9332)d9VWZ+;(MY*jW_ks9v(45Sd$rjCQ1E>*$f5IBe-*$znvs5Eh9e+o<|3ow*aCbo%{%q
z+`TY>m=hO$uehE##fRjG;v&E5;;$Hqn54*b_BZ0$@FJWnxkEc%K-uuj$L=|lbU$b}
zmI{BwOW=!A;puC3QsGxO%9F5zxDiezq0ZShiYG~6x53URg(k_LZSXh?khA!|cYqGk
z=h?kaL*DM~Z;B6i+lbvpK`mVXPXk)1c9+iKfd`xx%T8LY9w){ZU?iV1AN%fjHn(&o
zPO~Q&C?|w)p!4RI4CGvH${`Kxe4;@a7hV8_J4U#JQm`H|0GSRVFKS%uOjL
zBUO^#a(y=>4opqqW(8c%^<;Rg1`k&xDB_6_@dU4UfS1c_7)Y8LuZ~tBN<_PzW+T}(
zRvjJ_AtdZ$qz}_y;C1s!yhK-8Gn**j+DIxp%j0+e4F;6At-_XPsxsNAHh0T0v-FoI
z7}QeS(_y4be_H0`5etMa@kaUqW!UU#GEH1|ZN_D7<=zB7+OjhSTf)$4U?V9Lu*h4o
zZWJT?3iKzt1i-=h(4<<2CtiWG(ZMF!8jr`*aY|`~&rb^okpj)HDXLn$af>wK-x@PL!CP;}M&Z1*0Qt&etg~`SOft$p8Vr|elt*SA
zwb;n2@x2wswdNgt2nq_QO4R>AaXmqOL}L{7{dP1rzJ*c}y4Bx^8{cBRlvK4C-=7C?
zeGk54IWxY0iC<)V)7R`6-{)s$mwZ?#&hUPEkl}4~-ht75oM}-RUE2-rqnz^;#wHp33BVaZ9mY^o-aFT-8pB5wt+d@E2ObTb~dl{aGYXKjO=3zSi+tBoq?M(u>Tvx
zuWJVOV!(wkuo+&+^m!8Jf6s%o+QJ>
zS!ZUPHJe8DWigl%hR?IG(E!&E#m{Oy+hTkpiX|XO!s#*-`Hv+gmLmJDOA^lnWB14+KtcLWf7d{ED
zDuDk9ILEFMcNoD=3U4EET}9K{8=hmuyHaNG&ZP%i=Vg{Azs4@ko?aGYPitLwU`^*t
zC#_?TEkg4tmtf3=`V1CJ+Yz(Oep92g;kI+v`;}bO
z>U!6}l4r)Cnk=Vf(4xS?5|$H^B+zm?hN^bmZr&6#J;6yEuu(WCwPQDr1;f={yLmqt
z*J?M9KtTajiTdT@dV>0h#whChO<-;}3l${nQGX+DH;c7UQq^KN?*wptb~BbUyZQC_
zMRqfNS?y*4UfbsK84Y;+2af{6#m`fX&}@&A&q!7~?7%c$&FvwzyAnG*vW>!Z5N}?L
zr>(XT=-Q=h}H`Z571^TjAr9ksSU|gegG)pUQh#F&hL|*v~KRTsjTAA
zW*`s6;gyh9O10bV4m7%;I;nPDp|uL+x#fP>vHvBBIA-AL?m+Jag`bC}K6PW<+V>f%
zuFq><$zhfm8HF$xf98|I)OX1bA4$99r|??BBmLvGam5bi*?=VT&%
z-dQSBaD6E|>1D`W{plrMCbR9;=6dlUOkT{vZg+#f*mfJ=g7pB8^%
z&xOV+my|}wYh`v<51Ji#z!jb~9uucrg+7G@Be<)CE^gp@_hC57AY7dJ6_B49Dp(nB
zib4!OJG2WLIqqM;BGt~Zq^0XGYAvMMi*Z`ZG;NtN2%Lqny)ed$m
z=_{dcHCg5&{M&X(k3>}N^pJ@sSR<{M^jPW*hH{C-Vk@`_s1tKU_u_%-5#JDQ7N8pH
ziK}|9r>g#|dhU_tQg-ya37K@`;$8$05VF@X>$F+Et}>LYhs&0ileXnoCqNY@W~6i>
z6O~*MO6lpJ_
zuArOL6;#wJSUQc(36~J#S4jtw<)^+>mp!)tD6)JAG;%DPSQI780n6s8MxTBdxjdH$
zMt9XtOO_<-CWmVi
zcwBb-cm>|5o7i5RWVg7)`?4X00jvHb
z`H57@z!ZaAfzUAUWp=W
z_SOQFqmXiOLJo}*C-3OuDLb(-7LIv;BOW&pehDcsmbk%NL8N_g11x88gNI;ZEN(zw
zvlBNshhmrI@omFn<$8G-PS1otXSc)`J-}yfwQf5IAsoq_Q*dWerU*%z6J+I2p*B0v|iBb2!RDf=sz6Gp13PrGk6U?aJLozb1MF43I694{LfPS
z&k+9S+Cj+GLga=$fA=49$~ND=<9WE>K_hTHT>@8kOAm_Y*`b9kUB~IPNw1_^#*N3#
z_)B+eq_C+R>K(>A70|lj*wq;iAygH(Ti>X!;ANba{uVnxQfDpyfA+ovPOhTPUmyuE
z;qrh5hJ?puCODaJi4YD+LV#dM;!FaG7(-|JO}Za5-D7u8!XPN?vFh61gNlmhim0IC
zs_X4vU0D`X)OG!PuFCq~b-hv7_4fb!{pxsC^{VQ<>h75gi}`$DUcXnzuYOm3tLj%(
z$v5F$ujXRgZX*O|j9XskhqBYO=C?UFtrNt~5Jc=$xF;6{fG4*ww(xCu7lAG@XTBPr
zXc3s6X2+Qi5vGEbcZ_G^_i=8qDebtw557s||(^B5(Tz$G^h|R5g
zmux2>Yrv9im6GeNn7zf$7k1vR=P^QyE_S}!Uz2aKlh+is*!ebpeH|=zGBVO$#XQf+
zSnOni%umi2J5!TODoFaAEOs8I`z7}}XG&dWo%6{+ZLj*)ZK-673-X6+H7?b=jY{>B}35`m|PzjS-oQ9;>{OFacy_C20QG&|>OO
zLf9h~Q-6q=mIxI?@O_`Me9325f^R?B)1visy!&=?dZ<<|H5#R9I`4Gdp13wXjpM{o
zIFV$$ifcQ3<|l$x9doRgeXfROIQ0vwjiDU=#)%B;t00MxU5GKYDJ_M<`t
zX}`C2vFIWIw1E8nOnj72J~KWmQXwz8DblEi&tf{Tqi1}a|^FT`B4nbE$F`Uo?b
zfYjL!(ul~zoC2~|Em3!+1?LP;kcG?>z9!n-Vd%j_X>*b@v1M~IA9EC&kIBf`$u=apKe>`qE!F66h1HpH7sEY+wnfX)8p$V>y6gVkyd@QGBSc4
z2ZW?g)XP&ae`4z$md~{9t2}x^MsGp1Dw8A?kF&m9FDczqxD&{VVQ=49bv(usYH2Uu
zAe<_Tmo39?KWIU-$r7=f<@r9p%I{=HaHOqC@+42kSE=>neO2plTM}SL=Dp634}1CHUE%rwWDQv1x{H$QD_nHd%vkV;YUKE_{@PrSS)O}q;)DUCN{
z(Nz9RZ`+Cf8aog$BP3A3`N{d3rPcl2m9oWjz
zdLv#*o##w@VIv-^mS>W;ffYFMa7s}I55EZVb%%#5i;`DEnld
zE>fO6A}`LNw&Bhp4r3rTxCXavlMh_8dP)hX4@_#5|dZp699+u#9gTCy{Ka&gL4X}fzE=8gK38*`YAY~hQ0*Hcpe;@(*TJ%V+$8e~SBOE3um
zo);I>nMZ=D2tF3Wab(Oc=^W5ES){0w+fDjHa)%7&%RrUdWVha6Q@Fu=ftmu+%dY0(
zC$+p>gE;^iDlCJZb^89(D9=wHU&;GE(dSO8nn3byNF1<|_g|1a*90VkGA3a1$7KSR
zbSD;21%Y9G%15jAeL>6l>gj3)mZ9<3{9XPKcT)fv<6o
zQqugLiUn^Ox;{u5`6~Bb%#;IEmD%}qm+*N>x&`?1kxd&{usgF_&?62tC(3Y5H>9Ai
zaBUWwz83?QNtnjR)N(GeN2R4|)uRGI^IjCfOj-$kK>^L(=h+r?Fa=xCc@Ub$mYnFx
zyP%U2IFS4q7JAzKa^SWChqEgPTHya-t_P|;3FhiyubPrf8Q<~soS9Muci}DHF@tjH
ztMpe6VO@S@5LV>Q0c5aPER=w<(Pq6P#EbUvvVK;uJnc#p&cRD=I;qgf{x2ulJOckH
zYeRl@Ivk|=M_{Bv`9(l^XUD>q+noCI%(X7ryqWg#jLGKi)HFq9(Z<$H33+;zMqGQc
zyTAxp!_egPs&ajl`3#JBcF6*kb)K{za3hgoyFDG3R+~{N+C1H=z^P?t!fNs8wWZyx
zH%fz`q3}LlcvOyI{%oRJgDC6j=t>&WmGDts$fUt!QBF^5~4yPCqwV0e{XoL%B<@9Pf$8;VQ^Rx<38TAvjg!7HVps&OkG1xe8gLZTbbTrsg@f)IaT#=?
zQQb8Ku?W=`h8wJe;SZQeb!@s1UQE@>Fe1Vk0o0%-#puJ2OE+$fE?u{A-SFxS(dMmd
zHmqM8!GG&Ej;xEW1QkH-IWsCX`zEJ$L1=#kP!rrIiltnFbc}F1qD$&fK1K3Nu=Eh5
zJk_2dragn9+LJsEb1Z$*LYF*$Y05JdTNzK!LDp8l`rrXJPk`LS0a<`f$EL;y`#`|a
zRqMB0wrT5@X!XYJ(N(L5hgWahvi&^5u5cC?T<#jPa_F8|kQiu6qf~=?UBQuDv2J+n
zWsrXLn)MsjZ`qDRt^s?G;#R3Tp1P5TW!qDoI-lv(s!nz4V3$rke>*sVW~DwgUXCiIJux_g
z(YU$?BwvEL^GTFD=@m(jZXX_xHlsa{MjNW5aOZE_R~oOwUBDE))KVM{h<^PT&Y=v#
ziHLD@ex=o#T(xrL-o1N=cGsqc>W$qip%g5kx$;70`2&EHt8+%sjAZXzRtkc+%#dQ`
zO|pAG&c`J&ZRt-WTSWtmCmVIS!5A$bPBp4C$q3{@^z%keD|9L_^$IeQMbj@!OH!08
z0IZ5op@$Sc?l4^+J41VSw^wY2LrEqO*F*ypfklUiv1LTqYDVis5_LhO(}^yiH6#l%
z0-aK5$^)}JfljB$LI#v@CYVHT#7*oC)w9Z#12@jN`uvkx@pY|L(K2eovI_^J^UHB_
z6izOfsxD5lpmLjnVrgaK!#YA
zZ*(WZr2ZAs-XJSzUq9DCT9q#a7pEa)$2fID*qbMX&iGqp3vEFdMMB9^9wo2G!YFb|
zi|RU9Dw!Zpd83o_t{ifX#>lo~9Fc9wV)&p*O`%AO_nn*fc(KSIsdA~GcCZc
zqGjxd-l$J`8|4jj`8Z?^2z0sMUz0D;h1aA7y5yci{%wDK9fY|sGTctth-3ONT5a;Q#!#FrX;)HG*szMkfSqHDWxhCs8G
z01sC}DiGzs$wb_(XaNF4HaOaZ19zutG>5kwN9yG&jO<$D
z(=2s!v@~97L~ymvR6NuN<1}7UwwOVjNZPYB|NT^PdH$IO&FEY4CKN+oe{M{
zPUrmZYLx8Hl07IvI9i^2nw)K_)i5js^_J
zji1zI6s>pQ&DTN!b0V8QY?SBKQW4zuL88x{RQ2(p!F?Zvvegwy-Pud`-k(S&Wnwr?
z9zmaLy`aI8?kI=orFFMmDZt{*^4yq<`ThRn)*MD+b9vz2YbmKeaPM5z&%@k3h3;Je
zp?mQJ%%p>JS33gGZ@+G^(v_57#QCY(mf=sA8;%j;Ip
z4}7Iwo}WG*r?dbvd6CV*0A0%UiBh#TlY9XvwjmdSHiR+BEO-Qeaxj!#NY5pcGJ0dgXD&k^RZuYjU3o)6YUYKl=<
zef&boA;z%$m*fm-{}Y3>i);URq+M3+$4^1pU*I&FEk>Dsesc?WGSTQxs(SiR3%C->
zE@T0cQ5g#``Q)+yOS)47ltK!-9g+)d!K^pm7S73Gc&1127Ad0lUR}V#cw`m=tehc>
zIHBe_1xn?SIRaM-FzlzAN9Kq@x5Rsv$eb?#4PxA=4N%!WYy8Z@a&ALyqn+UNlnKkB
zDSf`rI;CzPITnVPN>~gF%b64l4B60}+{hSjc+N!t`#j+}ON~hkI4FR{W3b>A;iK}B
zNqtWK0k{Hs`T_hC6rA%unS;WLE(5wdTdpaK$eT=Xj%eIWdns$48Ji;$=%G0&Y3*8f
zD+;25yvQ7p?k|Bka~MgKD)CpC5`S5$q-|!`HsIbD>H*d!6clVG4dHqS2Dk7*!9$Sp
zRCoTJ>CX2;btm~Q=3rqtR(U=wLsPg$JS^Lu>ePcwr+(I{PGMM%Rj2+EmNQUUILBc*
ze>9{xn_)SNW{SeFG%V*J$b-{K7?y*yvUx*WSdQ6}6y>_Ya=4GfupC7nJHvT*w;wkw
z(5f>kM*t}Z$}yv##it=riV>0{2oxg>-`PXgi85G3&a!2AybvI12x)BcCwV_YPe!@!JJtRTRhi~
zK{}9=z`unB4DIo<$r~`#fUE%lL(lcs+$HE97S`!8E2^b;R-;lILPR|ml+j0AUA
zVFU}+7;m&-p~J|qq;Iu}3+Bnu9
zUjO8;uLI#RGP)App;||1lifigg%Dl(LYLfk{q6Hf?ptA!`>DSspX7K=VUqiUzrGG6
z$H?ePaz}$)teC|n#7A2a3wc_<>7qUIW*>0%decWj)&OsMlD{UOXn9RxqCMSTUk9RP
zWOOCkgE0n(5T#9)3-GHD9{Zt7>vDgae1>>Qn6$R}Yw}5p*AynLF@Jp>NQ;rtm9!2w
z#sxN+^`&Wq3c-|PJKbs#@RMpyDX0z&7sVVq5X
zigzxt^)F;CChKcag{+fIuBvEg^C=kZd?=RTi*`QTs6?OM2#a=J3}ty^f)-Is(CAF^B8*Fhag2-*
zItH?aM?3!s42nfNqqLmS&Rt$TDipNnQl~Nv$4;a~LHcHcP|awoAIgGd`7?JF>N?oA
zyJ1%c#R+5h@~$eJ_8m`9=$fPuwiJtJJjk>Y~YnH<)LG-E^f!HKwiT;$-{*N{gdU
zIxt@hR+dNj50B87Yxzxf-=Qdb8Eum12s#q8eo-xs%S}8APYZj-f}jVO8iyU$5PD68
z6CQ3;gkACwpjQQ|hxyQWFxt%KB#COQA&p>B
z8xK2dFTwrNaPs^L79B7cT^~2_(ijUO|a2g-qAA%
zH}19KiOCk6V}q@RP2;d77!G`ZER?ay_LD1(hk&X^quvm4-rMe(FA{y=rd$3ZQ#huo
z8<|QNlbnTy+@G9*e+q|=V3_;9_Ef3cnf(~|OGCILV%#srOtM49(Qz+g+#iqArD=>i
z-x)%OLf{b*5Ml#6OsY+A1Yl1&*K
zGP&fkAxpYd;Wi`{MT)-NO(|eOCSCa!^lMTXzw82fqOH&-b4?}#$@rN`bkI5stLVfu
zJOK+)n&^zQ!KuxXtcy0>sI1>4lgYj=57J)VM_oeNYqc-@6l7mH+ZJ~k<@qJVt?Q{o
zpF3$cJyZ$GE@WMjNg3-hdE~M#OS)AY!4***V-%c55VX$;D8*2~{=}pz-?rA~h$FCf
zs?x@I^F9zcyOW;vL-4OUMl&Rlm?5FeF#3W0^(pw_vQc4Lq4hO!IUqhxW$
z9!(Cr?9r0${I1kXvbNn_Ind*owB=jn%W{MgXq9KD3!7<2cQG7e)~LdqBAew@JGN*5
zMqVWzD5>wYR~JNiPo}<-T%!)``#}oH&F#C?cB{GJryz67>A-$#l;^er#bAC-^tqFE
zV=%vmvI`lEWKzapOdh!m#**&D0xBT|+%A$Dl;5l;U-`eC!{9*W|7&GY7;jv~LoZv6
z!3fU1ZPD~Tu1Wy16TjhOlX|CNzTzzL9_&$$N2kbOs8_;GP>xGCr#zGy#0Xmd?=7Bbo6?~IsU5NN!8=C
z$mOTc8ke8nNmC1Q`4D01pvP<;5uBv{QWyDaIw9ufS>*d`yW#r+^jSi`*$=(B@9m_y
zp}a>oD~OQ1rz2Z;c_SL$Whz%`hcbVw=M*vyq7-*dk5;4t4-rj`eE#-k7kf`Cg|&=KQ`
zLm(tU9G2K#tkJht%Qe;zeTqo9Yhqo3%y?!(tgg|o>3qrrLv1(6tC^@Im*sL
za-7EDy$AB7^i98DUHb&iM*h~BdbZ?;Z3~q*fcy-|>YFn+cBl+da(yS!p_-CdT46~5
zZ86^JE!x<5i!Se^MQ*<&7{CJ_Q`JjWAdR%wZ1w{l+mEr?>5MZ3G9@z;0(lgW-E|0L
zLeX?|MRg1L&7&Y0ODGERXyi_jGhdgkF5|@r+)J`+QYnyvO)d(kk(W&BPx5T68IDos
z1PCXtdm1B50fX!2i!UMe-I%iPuIv$wAI!WONIt5(YX==Ad2
z{tn3G7{lWy6-DMQmzpOM8O)F-VqgX{nck|;8dP}gLrgkf@d;ocXvMMSF4cY9XV`QaQ1DK
z)F0CGc&*2#xiw}`D%xX5xPm9X-cPkUNid)m~s8t}&
z>{*xiNi8qenrIe`Q)-zJd-QAd^8EDi8L=ZElMhCzc9DDoC=LicI1%Y@X@OGt
z2vcn%ZYy902F#cygQG+0f+6%TYy|8&uTCF=iL$#G0%O3@qZFQu7~4}7NA#}pg|
zUoQ)3KX+e_f(6I+`7roq$&lb-@XH~q&wq+Vm!!$}aGjkhDF~*|%AogTg9@)Hh(YfO)GBvU72Jmo
zdLIjAtKj~dpi9<4uVifo+?$+rfqP53zjEn~^dW6$5^yYLiSF)03}g?=VWl#VT}Vm&
z1KHJK1KCmo?s2G20u+_oQEV1s3}1^3YIgv!s&>1TMH$p?rxscVwfIRbuiHUw!zj;B
zA0O1#i9UByRqvB?A#uQAhr9M(<4?x%A$W?o`L1)}|n-DTL$#>oDuhw~i}w
z7@n~XZ;@iKyMKXF`Cu1&vVw!%pHfn{av-gIuq!%n(UthA=7U{=5*^U*@ZJoTB*^9F_V?=jN{@BZ3F9KZmRVgV-MzOwNaVsf3arA&ql2?`{3|YeI-?a{PX6Z2J!`$4Uow(lEY7`Ugcv`
zXtC%-C{R|XFE+~4`wwHGUX00h5q<8YDmD!rlkJAGRcv}9{mRfx)U%(Ji|mi2Rf+r2XuD1tQf(XJO<*Vi&PPN090V4Lm9z(2218I`6(E
zn;i@pzXn+YAmdjGCg+ebl}GX~NaI{V#z$Ke)eRa`Dl?$*V?cE;LF4|nrl65=gy7C6
zkU2#_;}b8&?X?X62t4LVY8zdgFc`rtrQgCiLchYV!>Lw^##i)Jw+lEmkOEVbNF_(vugVdO4c#
z30QHAEs)0!x3!Q*hv+OE9f#90ZNWzPnNjyEDThYujd)0;#Pj*4#^V|9?V)%Jr|0(2;|zZSyOZ(2QeHA2h5Hjpb4cC?`~X#d
zFa9aqYaR|c?vy#`=FrVRb7z~A%IzhLbj!`5*sz)QaqN3G4vRkPQ_(3|?W9}ejm765
zq|1naqi}%(={=CQr=1xcN3wYu_EXiOGvOeT(Q8Y)W9r&`BbPCjx8LlERr!XPJe0cfuOR9{SwZ{hbBCLyP;o+5xziIitD_Z)KBOUz$ctE~>9|#k|em
zO5gQWZ(;NmmEZgQHTmSnYYLO!r~UPHAU{S%p#1Wa^93rab$5E2!&3M4Rn&#H7sBDF
z)$&ZT1GwZoxgjMfvl_Jw@)cN(I@0RJ^{cCp1Vl1;brtimv=FkK%MV<{EtwO~29$Z0
zW7d?KadTC)3ht4n>AzLiuobCmm~{XyI*=zxPhm@6LC^OqUX_3l+I)V&tE>KuW$-S5
zRi9QyebIhz^ntvvtE>KqEZb!ufKztNRF=Vi%Xb*-i|X8dvKYt+zq;z@P$8SrM`<~)
zuG%NKfwToh=mR>aUIqHQu^cu
zF7t}MU~tLBvXJ((<{YZ)jI!;tJ;G!jIbuD?#GYnAKXYoaQjowh+B==MJ0)9eaNi3?
zuZFAvV06M?lMl@Bn!>=$GyL^+0A?5&`RIg$(W{6*?jA>AR}N-U1x>C*(z}YbDGFxr
zU@Gz>x>Y*iO-f`2-aHYA?h@V*v`Xk$s<$BXIKpA3pPGQ19)W5afNJ#Nt%a+iWmnd(gImnjU%YHETDA@Uw;liY6#U;7I3gMU
zUWvuf(-pAjOK+;p(R#DmnqEc?veu(D2P)c9Wo57mPlICE)9LUuG&CeA*|<#f`rGb$
z_=)3zn_eRX0=G^KM(}%^c-Sr;o+2JlK;oGRN&G@ViRUYYu;4{uaY4l>Fj)p^$!YYH
zi;aJ}4QXVrHo~i+6pbhEMZ4=y-p$QVU<9{w6Ci9J^tI$T-jzCzS>KZInGi0C7_t9@
znU-+ZpC2RkT&0_bNHMV|0T#+zm1r+GCFc0{w60~|iCt6**S78jr`U>X5Nin06>uMB
z1h+NdWv%gba4tJ+t%Vy@`9BC&EW!L?Ga8+Om_^uhySLuB7H>j@d0*yC*s6fLS
zd~~P1)A7gGf_TN_%)SDd*yMfYwnY4-hGb~tQb3acH-nD;{)thZSL4O*h944r?xgDI
zGIV#t&!B8Ia_pV>nD1vHjoVk7dK}EL!X=
ze4%?ZOE}drIR|Fpy{S)Vr&D;+hz0!!37gd{5VbV*>FHW;5~j4%nWfIPRfn{aCat
zHM3=SgE&rn!WFR$J1>XZ=HaTnR-<|yj@--O^J{pep61{AmA-H@Leg(<{8Y8Z4gl~ODHIMoEe4>KUuS~gc>2XK@z5wu)748b*MB`UJZ%n9E%z+Z
zgv>090!FVX4`BfN7jam`A^m>xd9kg+NveZ?mkhS1I;0-yqu~pGC`j+ik7Ojf*#N+i*m=PT8Th^%5m#u=>dhlBGdje+-SJCaE
z@U>coXS{uFXSEDJ@rl1c2LaT;%UyfMc1~8R@P1c)s#Y$+6zm?Fgp9@-{Ql9tWwj~z
zzDG=M-N@mLcG$at#`w&F@m4A~q2b>L$&Ak}{10Su%q`$26B8=}v*63)q96UsYmw2Wkv&
z6-9=3sLJ#b9|rs2O|?wFr9#6ie3mbzQo{$X*7VJ-*pRR`MQIe}mP*>bw+AhrHzwPk
zm@;)^UNKwpD>62}-t*(ZAEcyy&$u@2{?k+O1-Rj$C*uV9G^YRyHs7O;o4DgqUrB+I
z*I6HA)!gf>BdZ2u$sUl8pTfKj;5sqlvmB8BG^0E}_kRw(6M%%Pi9UBy)$1guK;nS2
z1h0YQg}jbrQpW3;JaTy*OS+Yz`XQy=4$caUG%3ipku^E2#~DSEU*!0
z8})=br9UW4X%~*zB%zQ`{ys_3YnY@M-^))Y)$6&9kj*G+;Jq#foTceQLZ6>#wZ{X5Jzh|G{RZQdc8R@vz)utPPSt*>M_=
ziWiO5-svq~7Sv)6RZfOXMF$``P~ann15h{^!m63eok^BM*@e_DA|hPfJbqRC4M;ao
znA4I)0eQeznss`6VKRv&IgG?Ujr&T}vLKW2)-DeA6%#08=Et9jpDQ8eUZv7omI_Y+
z3-%p*f#2CuVHFz2mI~=|&vCRGD@c1oFR`6+(#E
zsMkgz4x>S5A6#%rX}lRD22svENMG)n+Rc7ggK!rs9FcxPeJ728I?87o_N2S}g3F4}
zl!df!+&9aLQeN3r#Z5itIx*GQIVP_sq#zV+txo#{-b((~<#3B+Veq2k&5+gSwT(rq
zms9dtUUa;x^XA;i=qtMD_(^|FzC}k~Q`n;8=l%6{u;|FhaC_(i@_V$!e{en3l<`n4
zop2AvTU{~#!{1)tmbeGPB>5|UO+HETnlwo+Brhu3$bac=+yAXPn9!YH(t#`)A>GN+
z;`Xhw)Y6G|9;(09+uQGNuTPeL1z7`j1T6R0FTDg4&cj9^R8}0X9DuOra
zll;uD=1Q%560>tfqB;5;Q5<|SGSX)Pp_*0+4rt}8s2m_dOoX7sN{HC;@Q@^3I+f(j
zXmtI_8}U!!1Mct=_I(cRNx@#v=>`Rx{m_8-hcHP@Bi@CXmT(Wzv(SJ&LQ8Q+Ky(Ad
zHE9Qe@UPk}?63sM?qrAcF|qy%b5rH&XbS?BaJe2#Yl7Wq&}zgGE(Hnk6+3~i1dE?+
zwP`@#2Ox(qe8EiqmP$rL%lm_v$ETp~gG`P!diMfz%7cEyq}2_k5G_<8$34JzpO8?VeAV-_l++s;ux(<$M?4~(PEUga
zR;z)I>9#4=!!;{3N6#Xs$N`oibg4cu)YozJXP*+6mr_+A>JzK91%1v+uxDTKAkQe0
zo5f%$6hmP7Kt@}gP-7-?!zeBZGHu>5tRd3|i^+yj;HR*T!5>C(wNYLn*Rzf2b0_V_
z_3VJM3%MT2q>Sq^dE|0E*>u}>fPr;uOc-w^SJxqGN`&O(hf_Zs3`)A?ZQFam>(0W~
z9}awm&d1d6{O;vmVALq>g@q~O!~%6+0+xxVD?m4ZHRA?^
z*r;USg3N<(*J=p?*cODbuf*Typg*mUO>4M?9^U+GF3AdOF7YzHjin%(iNZ~)c
z>p0&HawOcKb#?fux32ELjS}7dOL29-APU_{yK!~@17#O-b&^dPS7&m`FV4%ZkZ`YGhIXip>x-ATK#!;7KpLUt(Gl(9pT
zOD;RKq+4g$VTan18eESG$1+_J6{()M${(?AU0_zna531`ifmH9FQ
zCpb16%oA!-&7UU(f#uv1q6{GL38hA*6X?4f6e%
zskp8iI~0&8%jz09S|g!O>E{Yl+C>jyl2E8Kxre0a?$N+il45)|Kb?r%Mh^E_F~r^l
zt`p*?&g5SfW-|JJ?)rX?nTo5!#mZg-+{&=ER@yZVr_R-Jhk2tK!$PreY;(P@VexG`
zMDog1K(2!zlW)Z-Kpivt8V-fB3+dnjBEkh$@T=PWL%PRz#&)SLofZHt)uhIY9LRF^
z%V9ApBX_B&j6s&;tzGPR5OE;z@jwZ_NV$Z{oN~D@7Zos-rflfLTNyMCo{!;2O^@3xDedu;y
zaG%01S;)RR{w!^BcB8`noK=+%6herc
zz>usOo%RIlB2ik?<9XnIldXvJfR$4!%W4M!x%pyQ5_7leqNYT71;)cBl-qfuLJ_Dk%>Qs4>-a@}t(|ZnB7dHw_oofQF@@z;g}MB
zJIhmii|*r3gIeL9O!50n{9Ub$j!%{2@=iQks;L$M<7PPAaVIu%e0t|tb@x;w7WKi&
zjXQw=`c~Z~-qO^xXP@t(8p8yHHs0zE?gCIab&RQ_gMt|PTv^DzxNOI0bOuCkI}|iZ
z9Pc8IV}4jG4{3(6UD-HVk9r|}pQy&dRJr(>+{9QTz8i+1o|x^awmPJe|FRCLGk_5PZC`|Nm4+CIAlGA0-1jMxvo
zWiRm8*TF73Muxk~EG97F#vKBK&x*kCm)@*5`Ti=zT3-&6*7yB2`J}~b(xkQDX`)^5q_^o8{+c?F
z6C>_{5eCBn2n9Mf%Yx2pA*AynRr~2#bKxT}Lu4D#*
z$jY$7Cbfe^3L&@jg)X@%fBSrrdwQ7Up5w2{CplhInB-pWudf5iF*3T6+#)stw25p1
zeiGthKXg&O)88PUsBQ}r)rb5w`9#HQ(nPi2<3+RJNpI8L{+c=v5+k51AwhJE7@pe%
zwU9oGCh=c-v%ceRmQPgQ3=`E){5APR#cR?;mD`8?-d|q_0%K%!C9uQvITV}F4iZU(
z+|n1i=pOTqj^W1;{TLb?*(;l_lQO?qs6O*2|T
ze(Eb-g6sXQ^cml}FbQ7eugNDtUXv!lT;q%V^>rXWMn+fi!{Zlle$pnlh4f8`jQ`T5
z^-O=8eA2o;Oj>P!O+IPynlx$c$65@t9`K~M>9zivI*=11pes2YrcWQ+#MPH35i(O>
z>5cq*e%v>`PH*qsf$$g+T?y}K*TRfV
zjE}Y?77ez3(;2YD&j6obkAbWK@a1v-ntX!gHEDv)?flO5*Vln)85v!P_E`7InoYQm
zu_YJMwSUybJM3qIPrMt$#CwguCZBkDO`3QMpwpVa#tsC`2ZxK>aVc_aWX=>5@!!i#Qd1QT|Sw8C`@Me`fKvZ
zjMo$@v#_BFWkU*K`C+9J!X*59cBwP)dn;6u`*kVT9XJV#AW`a=90-}2tg!*Sx
zFCK)-*g?UKXY+L;=-Y2Oz>FLmP(laSZ-)2~xQ7Pf1z8K5(Nq&psifGD>7fX3^{dy$
zr}1jPJ=J(GT=@w{`<0^0rzWT2tavz{sTIR16xYfa!XB0=9cOaryFk+Y$zuEybb{ow
z=KgSaGhl=SauBB+1kzEoY2W5jqXatw;)c9;M13VWMPY?e2%AJ$;S$WWgxgfl&XBxB
z3+o8JUJ`kU`=@#Ds~rGl2`Pbrx$#zK%y~hK;k&1w0GS-Sr}2}jkCwnnDW-3_{x2YfbNz{=ZhGmruyNG}AcR0Vcx5jKSz#Pg^rAjj;vc=$;zFW(^i
z=i8?TpI%W*%bY&b+^O~EC@Y>R`{6d)*ecdgz)pn~UHvPfGz
z{ZBbb%waBh0bpN+W~%D#)-lCgzD&HanhSnX%gZ&Fg~SojgYaKc(A4?=$SBiKBR82J
z5RLAn-I&ZzpzJ~>BN>%38Iw;gld+`R)N9R=+-~>0XfQpq1^K3Te~#z^P47YqrPKQ$
zf#Evshw@|fPP#)k1h*zChIKq-asV^@6l7R*wJqPUW4Y$`9HTrxecY%XPxQHyc4Jhl
zpzK0MC7F~lDw9Vpqq3x1iAEKo6{*n#X9c4$Dabd9<8oLZXcVucpvBZEuEM<^I1Zky
zUKfuyu{+|s>JW~>-Shy~8gwX2y2}ERk5*z^S~!k{|5HzIgB7c2U^DIBpc6OG9y%);
zxT4g;R~xFkmRq~9{7}ouAWi0oZ=Bd^?ZWU=FD>nPMtN@YK^byOdp6PMPTGy7Js-+0
zWNDH~8A~&HQH;05CopVLS^NgG%+gdU&u
z?CemZvFa$@e=~^pPgTqO7OGXzi7e5XCk~!?dEA2kuYs{|6aH==-_#f`pE%fe;^ry*
zd*Yg@OKbf7ng%>I?atzB_dv;Wkv10QWhIAd>_2pqw&iq=JllnUvya6U`GK2W
z&sF(>n{FM1|3IDj6R9+RW@?Q;`Y;Emwnzl(t)yAg;6Ip}%S4-}WFpjW`~fq~P!M~D
z-{LhqqU!VHO#S%}Gy!}>637h1doTt5h~~f_xk<4_4g;HqU5{V
z19B`R(A^H=CW;h>jo>eBXx75PYN-JSWsh5LlF8kLaaE8X;C^a^T4}{b_$ka!`De+;
zjq=>iN5Mu_qR*YQ8$VTpvJ3es$)t>*GI`|kQdH{H->N!lwHUWB%3mZU~b4dB^Aav>FeQ15|92x4r(D4Ul?E(R^B_8Ip(*^E%#w8hO(
zeI?mXhInC+nsY;3MQUy}MEn$Hh{zji29&pee&`gA7$p`m#LYyZJ83tDxE0DSWQdYY
z8ACL=MSgdDL3_K&-0=Uh6HLDu5+Aq|)n5@3%`
z{VZa#(SYddD3lY{ogj$QzG#%cVedsjO3%&m`NSQoS>mT4v&>nZeUnk1+tQTY@m8YG
zowOUHd<&Fa$S5U~GDd0g$Yqq4bR)B&IjJemO7UQTW=rx7@VPl63^c$s>0U_P3dN2(
z*=e>ar4|6xF^tJYtXi%%C&x?EaoO4frp1b$#l6MyYeA~aP31
z_M@2E4~af^(r!%cXHa$_Q4>XV`
zr<+Uj45S{#*Tth#EjWi5I0Tn`)|%B8jN@P*L2ECpHZa>^!R*FOoaz?V6fp`W8$-8K
z-lOZcTgkAk++I$AOpY}K{M1W(S!I;xr;o28Jb~zQC+)^w&WExK*^6XS#$HSwx$MP~
z?gG2L6xEj0e7YC
zbmA+n!|-B;qBYZyYOFLh-Vz-W%%Z@F-;~n2RA=2?%x%v4O$va9YmFe~=EheeE?PS)
z{1jw-Y=p)Mwhh;wZY-C+Ku_W5XvrOev(ZY^E0{RGCxbY%{^BtsSxen
zmkma0wjtk0ugwu&ppm}KwtZW<405k=fi_)O1P3o8I;1m~!4yZa<100$5kAuGMIzpB
zfadO_`mQ7%g%kN3C76g=4s)L62*4yn6h`$)%-ZA@KT)D>cyYN3d!nLU)6})XTxi2;
z+xETX+*a%#r7+35KN(~@+`2zX?6+DsehRbhyz8yMVwC7MS;e})L=?J{c4OUNg|Z7-
zw`5bsx=k**tlN_AZ{~?IN;PWF7mC1>nEcB3Bp=FAlt52%m9c7(E`nsmMr$AloH586
zR<2=wR!q#Y?YU`OvDNm?BM7+Fo3Evy$lecmuWp}i6Ty~qdp`&=IiNIt>aD$>V3g>m
zkb~)^M4>xrH}-xKlwHW)C7Uw#ZgR
znt4b*z21$u8SiMeP0$p$cX@k|=5gEDN)5F3h4`trwox-mbSu2l7hX#gx|4Qe83_NJtM!}tKZ1-z&VYd3FkHP+rq&XOwsdr0%du^HdROvP1s0geW#53=m_
z1^33j>va95FkM}^YhH69hy5!OmAlsfcSq8HFh8BRatqnmV+STKGvBNS0jRtHAguU!*>r><9s0L9^yW>{6jdHHbI$3o`X6
zq$qQ*@wrfTA^kgzh;V@c{Hj7LNOyWT%cYuhk{NuZNrl(3k+rPIVJ(6P?kiCNgRI3{
zySUF-oKX~XL7g~hO4@_vg1Q(Whwp+q{LU_@n}&w5`;6&nb}pzp3rE*GA?jfi#?`&L
z&sZ(9hu6~yD*0c$0M33d9bleOz(oA6IEu>}gw+6u9+{}tAf~B0Dz15>J;MB+Iktz9
z{}9_0#2s|AdU2g?T2)Y}Pn3wadDqh&qKg2pNIj~pzm!Hz{rxKpN1^-vf|t|1L>96y
zF1FR1oV}awFxay57u5kf*fq7A=@B3QpA3u<_vyCrICJy`43}xwxM`n2pX6^{mEIw>
zAowb}w?S54k80d(_GU`n>#OKK)j9niX9N|!fa!jJO}+yzc}>~@m$^p>f7@SQ2gh47
zGTc3CF@Zr$pYQI#ypxE2?QfRvMABb`32edpbU3AZ$;2lxUQ?LB9_6pE1A#Fzx)Ru<
zE!`{kB$~T`Tbh(^m{Ne#Fy88}<8l7>`XspwvId;qeXhSIpCoxrnj{Mx?|iAh#tvl3
z2xF>aWQsGG3D=vfQ5UE`NO;2#k@@mB4y(_29k!mic6McbLq+=C8>oGhS1e
z%>Kh)Uk5T{WOOC79$r28XMg*AlKXv_E8+G0
z>cM~Ux6&uU`@cNBF?}Y_EX)S=P0lnH$
z{+fK!;x%c~@?1T5vcIMd07Ldhh~&BYlE9H%xF(^4H`O9Ir_eT+Y>l+x@k5
zAUsAycfw2ed0ikb-y2A@nXaHsS`B|AeZs4S3GXIEQp2XbYEbS2jwTvYeS4|EJ~4uz}%@aA}b
zO+K0NnnGo^!e3(tGGl}U$}B%Qzo;&a3`pLDt95g8QQf0iu-T9n8PHzTh{wwH(V65$
z2Y{3zkmv^Z3sFibjhTDuUI;Yz?w-0Ws9pS?I>rsU7VSlR850!Ge^1@;W{BBw-&2Rj
z?JHYi=+?TT7uL;2(Q;WR*@ar$pIqZrUgKsj2nSm-528s(LOVF&u*WBn0TZuTKNe{#
zop=U@aTXMWD)IAccE^pus8QMrZyF`s=~#!YkQD6*xmX-fTpsL$+j^86dRTV7l7S0G
z>yy(vYf}@u;>OB7_3^2RcsW)r3SoPp0ISVk0#nU+I@64LsAeQJ%(3)I2Y^~xrE?`n
zM_Z*t7Hw%v#e-3^Qr|0gl8u4Uh;$erhDSOyTXCt3`&65)`e>zuub1=lsKpBCY!#n!
z=2?t0H+IUIMH*-3;KIe1hfpe_h+l%4mhirzXBRF$k;gKn2Zp*X(Gv-^d*rOU31!fe
z*a{-zrKHFxp6-qyF7SZj+aZ%<{~&%+19>eG^Fg;Oe#$6Mk7O}?u((>}6GWdosTy+M
z-hXm>Cg3u;&p_E~!1Gh_x9xUC$)wBeMsTG9;#DuxtxJ2WSlqglTjMTyM=
zZ_8mkq8NU+;#(-G|8B*nb$+*^cJ!z`RSkTq(p~WY677Q00{1We4k%Yu+^uKWTy8SI
zrsjgAv-dCJC$+qMlkuM{efS6U^8EDi4Y!9tCSOFOYBI@Jf#Lv@c_frw$YdmwGA3j4
z$YnB?ber(>8hHet|3=P2T9evT&x;15Gh2{vbiX9k@=H0u=;rG^j+X|hH8;Dpq}Eom
z!%snGSKuDUry6DYg~Cm5JJIM)+KuTw4azQLdXiBY(=++xGCfPW)IK0Iwih>m+DxxU
zMT6;?Eyy>$i*iI4*x%h?44v>O6*>U;s?32kI8{J{H5!wZpkI^NUmxXZE=`OaXm1IO
zF#2+OLn8>5LrLSU6bb>#nIIG3X8JPXqt#6DQ;?bF9?Sg>qeQpmq4>Cw-bNIP3C{mrL9B%pj(GqL6Jw?+D?T`j+qtw
z6l85V=Wnky%Jb95yTOZyK6lb?Y;7HsUC7oXlQOnu^2lXtmUQ#ulGN0G=LbFD6HH#^
z`-EjVN)qT3{+C_a`ivmE<9=Z;vDDfNy?-^P-Y7*!f{&Hz+o!#symib(lw%!wD)7q^#C
zqg^RLlg;w-HTmisMh0r~{JpgGJwa;5&EQ?c9jh7Oryw)PT^;&IqeQoMD~9kXqR^eR
z8$-Ao$}VIGl1&*yFuCM11WURe-mjY4P7ezOb2F*VH@Dk!#1&|655-Gc{}80++z@|5
ze6t!NehM?hyh~dj`C+|8w{RpzGl3gUy+)bLX;
zP3>Jqd2ahr`oG(WK6lb?Ozlo6yO60#CS^>`n3!+{`Nqcr5n8L`ygSXTdM?j9Ki*z
z@(MNcMo2u+g5B{F@q0njqew)+TaQakHLJ%3gGQbm!eqK!>`chvTg*UVaNR*+^jLSa
zOBeahKkc1l7Huxt64E@OLr=y`#dWBYix{hg>FUByS}tOAo(mC^sJtdd(%+SzPDmfw
z*kkF7n-{s@#ZO)4FDuMj#c#YAGZmNlS;j?-Q?=5raoEsbr~6~2hrn}j(o16bhPk)H
zfm!1GBT!PfT`bWKdjNHAPK~$dl1JfDw0C-QZx3oN#}98K*|^0Wpmmwc7vBkG7wVng
zOhmYPUi_-!7)WMd~xD+I911(i2ad#M9E
z;A6TK=q6k6X2Cy8Q))kB<<@50Xs+DVm@d^CQxna2dgaCSQ8@k#?yp`s!nn41dL3C+GXL6RRb
zWUQbQAOFDpPVSkU?;FOm0`ZhbIqqs!C#J^1tJG_7h)6scEfeOyY$zIzTT_i%Gb%-`
zsY!rc%DAl*fd>Y!Un`dyjnZ@^{(+O4tV0+*q^&o~)mo_)H>0ah+Yyz<>)^xoR$CP)
z4zE;)8cT4hBxY#TC*wwIIx5x564DWYSDy}7!ZOeO!F5_y=yfWuA~P{bKSQ
z)ZPB%uf5i1oM}hritgjSgjDRAoN7?9yB3(ZdLVx;qHlAlQJTQZjoF>8(08b>B$uc&
zepLvI#Ax!Bm}v?35IsAbaZqR!9<|w`<9P5yv1+XxUkCpuTf*bTp#QE}Phw1aNUq4~
z3%${I1vQ$FFYbg)jmXAVPgG{ld4dpjldpRqVh
z5IUm6X`+F0JXV4cF*_G{x$W#Jmb_Yn0XH1pOr1uhJ~dvB;OOQ_K&h>`%rT`l)LuyW
zge&L2B$vqM{|wZs>gv`RY$8|x-%}GoYT0uY@snC!uKMRLRX^tAdWn7t`BL>GA(Icy
zss@mJ6KD=NS@9?+yO04eHt8p?BFDH#$}(@Tlcw@oEYmIzDm?}sQlw~^puu>n>&6A0
zkh5wQIse2iIG?=XF`!2b)MOme)=pZ=7!OvEDGtA=M&R;qmUL$rrwzi
z+q@Vv<)9>G-DczJEc73^nh<_-$6$0df&b=?<upE@KA)dXC;)P@#|j{pYq;#iPo25H
zFU(xjR_;B1gPDqp{d_isLMtrMiWSjXf{HabyL5Nl;+GnvGZAb7M~t_`V9Ej~G-#=<
z*reK?uI%W|e)K2w9?>gH0W*()Og?)KP`}J7&XG`dA>BKKh;a4b_|@p?SA?-!@~It|
z5nQBMySI}i3pqH4rHYG0r3S
z!an#PJ$YAk{B3#-yBlcv8-x-h8}Jb)O7)BbY>>ThbiCAT&cy1dJvkpK*@ZM+fKQ{6
zI(o`bcjv88!xD4Cb0E1F-nWmF>lrI>J!1u1&sZ^0FHeofQ13}FuXoCh86};%eiZR^
zrOGl$w|vJ8XhWs1(qB1*sd!}&E>qbI^B#-!_1%HW5#mMrWJv)lS^kV04ZM1YQNkTY
zvBc6sk{0j=)V_g#j;kCX*x+?0mBS%NUFM)RY=bsz6C^`#jH80%Z=4yZoB$7;M}i0K
z17Yc?QH`53J0L;1eF|&Bc`#$DEegq>)XLp`QFA4V}ULuvweMc3t6&OqGl*(
zK}%0P15(}(IF#OEbo+={IKvBaO3~)&Rs|-m&x|HZqt}*p#}Nhsq<9l1m-~2;^4c6a
z{CcHwUN)=|(q#0Ca&>HMstI!%D@x@(aOV-uZot$u#2ZXB`_{rWMvdz3N-G*zyF5DM
zwA0UxR=}S#&WKWy%JH6f9H+9I66ij32u_vzDpi%)xL>*P{;PehDvEt+T65Qy
z3TO+6ayLvtqvDJ;Vi=ax$69+!jd)cwU7w0ZVeHa~%b*>N>aM94%<#5wIbtPq71gon
zK6o(&v%U>B1Ds1YZjCNow{hL@>J8E6t!p-{UmL-H>o$(8i>?G^Ks`D$
zDmD8ir*^@%_eu=2Wz&@L5~O2<(-B=#hw^DsO{&jBkn&WI-o*6i4WW9J+=@AtK53y#
zp1(BZnTo9}=Hx42hrr`f3kA8iIzEmwlvB-kY-)V44+I=twSLQGo3?I=R&U%MUA206
zc=g6D+s~u*DF`==z>?YAesyAUyb2NnO=*;Buto(g<%)H~YcGTJtJkdGuzt&Syvgp8
z^;fKDI?&wsf4tD9(^S6T&fV8>qnfl~!wV)ykE7_wF6qU7H%J
zH+HXtQm};P$_x3Z2T*=>&Ip>3?48R>K@cA?q*!^AfI{u#d|VRqV*W(3RW!@-8KW+D
zZ$_*9Q;q6O@>$4($n%YyR_Ih6
z1C=j|7s(G$@&K#{Dqj`v+Gk&V{z_S$y4SJc%4zcHv-jemQQA?rc_f?*zV$
z0yL1xqGcCe2$-D8IjViI%$4c_so5_KHLHAA*12CK^cJ3^22rlx8MzGQ{Bg5gEHdv_F#-%wG}yPI79gUugv!^OEU2KKzruvD!eg2m%L_1L1$#pja^R
zw;B_Z!>}+4LsH`nrK*9Oa9N~I)RG*cjz*%6aS)X(h7T^fZiE>D!BA!s?tvu)MUJ&f
z4VaUgX+L%+8!k4@h(sw9KCD~_nX2U(YO^yiD%Cr4o*?-zP{{&;QA=dKHU~D7yb5PN
z7A3ESKST;Tt^2{hG6_-W%8$A7=SD}Jx26Q0@TzDPj8bWWWYsm^+J~;Fm*a8rwAV=2
za3C)vHSxB51;ScwNL-r^Z=cn1)ybWTz>^JF3r;2+)gCC?gp^?NNgEA9b)PhldmU%cm8yddfBx$o4O6Mwhu%Fot}(m+I-^5wnz>Ly*Bg0
zc6g-Ks7OBdkA{FiBY|`{j{;)25FcT>N*f%n
zLVb-$el&X`d$y(+O6}s<0;2yIw&0Uza+KOl5z-$fO{A_rc{(Su*qj=+@JDFhW(&Ot
zEaCH|!ZS#J;hHa1`g^T=U~{G~0Fv39=?n3RW_0N(GiOTkYJy_KEu8|sM_ycNl`fg8
z(JU3mda1{@xyqqz4kyfO??aepAu|u*y#`fgt`Oc^4E-#I@ZM?U(!FWLj_|N5pNR`_
zf(Y-8vV!(}l-?|ZyHCp2+vX~ZfV-4`$tSR|EVvU|27Ri<`lKJD&hzs*^c2E%R+8on
z*I{#=xGp6vgX?aAd_Bf>NQ%I9OgPk?y`D39Uf{Y1IWeN!njKvC2dt$#T=yq~P~8)S
z;kw^JSsmiKgZ@t^xb7!VA;Wd36J6lC`Q{@@p;3o?{$4=3V}W-Z@cb0AWFXyXYjJhg
zf#zU^p)|&Ug9+rqGfKCYoP(jQUX%l!auGPA>Tuti3<^5+_1vy{=5^a*=4klWZ-}QI(NR%%%x*
z2RJ5uv!1aK9Qy$fz~I<_;S<3zdUC-rMsYWA?9fZ&I_yntOmjf?I6olMQ#&Eq3-%!-
zGf2#vLHi8~eXc;+{-0uoA#}1BDC;wF8JcXLLBpziW~+j-KO+xln05;b{Iu6Y?;-d-827Sg*%L&(Bwh!T&gVa3Ob~~!iT*0>Y8M;~wwtd9NWoWn^wqaF1lU8Bd
zdt?Re`6|I#hHv*v4s<%Jmhv$90v48qZ$i@mzB#N>`Zj`b-_D__5R9{uHD@pmo9u*f
zDQOuP_YTO{V;F~|2pGo%L_OafoXPV7#_jiMP#k69XLexRAy`XyFzzseP~9Vi!MHvs
zt3w!fG-M5jaeoAnGZ=?D(FKf~kG_(W8uiHM`vsgk6~)Ma(4V9oC|d=cYngEFIBuzN
zMze)yl&&v16N&0iPRBorE$Av{;4^}C@4_aSt*&b^>lnq|z`DLPe0C-vI@1Z@p0^JHoYIus70_*{9dm`+b{VQz47DXjE<=Is
zs12*~S+0uOcFGFc^Ga;94Aq_`o82i?OBt6u6AQ~iHKASr)l>_UPKxl^i*pDmgwL$B
z%o#qzb~^D{N?Hb=ZHIh4#%D;1z-LS<)RjGzGdUNZ9hcpBuug1CD!jAcE?%3MOV9z>
zk;={jqilWaz{ju{hOiEn35~r0pD?P@-9s3J`UsTOA%waIvW7#bJ0TZ?P$)JAp_G<_
z97XW|yzxw=O(KO|`q2B-j3<~`gp9l)klM4zlio1bAhso1%
z`3mHqe`?D}?u0}y+=r0Jq%m(Y>!8mt$1^AUG#`bPDG0q7EIQW6Whk>97GYIByH#P)
z;j)7Eyc69lL!*_l>77EOlzGVz7M6uZLd5_YnHDD<7r~DekF4~}89c(aI^j`D
zS_U2+4EcHtkB}4rkC6hGyT9E$4^V`PS;2xP_tLw(uDIFsiEGJE7d>h556klArqOLxd@sX?gj
zfx?j4u~1fr$ZPAs0hts1scvv-#AkkuszH_1ramiY&8BU4e1Qds5A4QX83y3N8I=XVeGGXih%cO7CGZunn+kj*S%eLba
z!7_Ss!7@g1H?T}Q`n#R8i&8m?+
z#LO8O!-hJ+SV~$3j8!3DkHHv{BET3E3-w>)oXNRhtS768pW?NNo<~Ppg;x@mEO^H1R3n$6&-NKBtjcG;DnL43R?wb*vYTa)^hDYAPC-)2z2rhH
zEDMr^jsZx@Se^7<1eC7Gp{5W}vJy0BKnWY`1WGAs8K86w_
zlHM#sr=Q8zcM6?S{v|)f!m`jwXc<5!i}guAM&Rj>IrJ0)PgauV3_M|To!}`YEd!qZ
z8S?cQJRvCpJTc)=Pxm>_eSA;9yzT)FFdp-7$p$wNs(24uRS^kTo2rErDDNsG*85pccpt&?^x;Ki_&iQgT!&
zUmqag+~tst!?~sSXu`RZ<;IApQK~lKk|?~dtHrQG6ypVx>5W~*5=%u&MzF^Iw3M_A
zLYszsJw|9qia=;gF4TG5z?qzj(B>js{!5$~(L3qjtXJXk-@;lLE-QX}kFJ{kW)Q0T
zpD;-F4JfNaNcIEB8V<=m54jj5L!Ia%C~F>hM$%K}T0cHZh|nEFNH)^v`<6La^*;
zAeq6kWAKS!89ljR8KbxxSa#TzTb=|_yl`7G2WC0@8I9ylXtpo6eV8=nfwKYBl(_1e738Cvz4-feY&5~D!N&QXPacxJB4Q{^OB8NSQefM6$5x?
zTAXxT1kiTm5K{=CS?QTGfQD^#0<@I03_x2B`Fae{kQ4#Xm}IC^8{|yR1!z49)cR{)
zn;n4_4%BL6F$`ik1GQdaRHeI#Fbws#P*#T+>NSux97Ej*xfq5*vH8{?=T+xI8ig|U
zxmp2}-U;bAOnN3hnlR}Mn6qtq?|9tPx)#FNp}#iKQYTrZ?@9h1sp(Jd;zS8u)fLD<
zKLnZ{XKRs;eT-}ZGzlvN&?LR4p0N;Ux(5hgpy{9Si9i!Qxj+-6xEs)PgzTo)Z{o0N
z$UmQz$>0P|FWQH5T3IS{pi}!8Gt0n4+-#P1$IJOOyK``p_rDuDTMSYC$jD`Ax*btr
zRX#IU5!H8O1?_n#(^7L|Ka7hLgN)NX~{L&D-abD#g69-oueDXLFW2tGnwW`(%`51tUor^ReRUYD
z-I1f*x-MxqoL>uB!(r`a$i-kS>IZ|hVax!X5{tF-tS2G;Ms@OaiURxI2%(B2;z0F`jX@8f{9g4o{720@n(A2VBd%
z06oK&fl?_^SbSCEts2fesm<{+xC>G-1ea(gLb<9U(2X)`xJ;t|ka!oT(s
zmNFHC#sg!|Yf52zyxXAx@px!*dR4hT+H5tdwcSyD%tbFMKd>Y1o^BtREaBx2o2R2{
zGb%-!r(2bJEjlxrER9|Zke@;;nsQGI6y3*J5tZXs+?as#oSUuc=*niRK3XZ^BWyon
z$F-~|SI5Stn$>!3MX9_erXyUU$wqzGcs$YUTU(!;Zd7+yTG7DT<J8E6t!p-{UmL-H>o$(8i>?ImgARdCmYRK&Q@h5i
z%?iZ)?3$*GmmnP@oQ~*{I+PCzU9ZU~?uQ`dspfp0Y0m!*)tuz3m}BXa7P{p5OH-by
z*ve70My#!X<-tR#g@W8$9UqT&#nDtV9-A5;>;nNuSFPW2*`}>qqSYI>M^~*L9$vk1
z%l7jiCAbjy3bxD2sZLCeS3zQ+DUDLCHH}W>igm+lFN5@}*R0>Le#`a4XcMiABHz?8d*0KMI#_<(3ZYJ+JZr06VNlFqkI@qOC&)*JCpb4@cFGrQq9^8jI8dvv#gczey(<67J(jYpf&
zo=2k%)zP@tjQdLCb?CoPgFw!y!vWE+AB$@B)?m~G6*#}rYE7zA+!7e7<5ICh+mOEjASEb=FkN<$Mae=zFO
zM{H{UMdPihMs+6n6XZcC`9@AFbSg)+_XiotqUo2VB|5rROBZ7g?&A*A^>LeE00XF%
z<8Pc9sGIZ^evxhFSUOe;zc;o
z9_#l#_p`Sz;zbP9N)zz~8|$@rFp@B8=V(118>>RZWv#`(!B%f*#As`0t4?pSQ?zGX
zef~+U_`24rXc;wZ*@c7A`Q^Ady0cl`y%QQT3f;F%5-q#%Lf{omVjR_8NI6njks3Vi
zpV>H147-X=&7NuGGL*+YHH%f5<1AGZ)T!BJvVwMNE-`f~bedOB=V1TJp(MieoZqEs
z5W6pv?Xsc9BD1b3XOc^?u*|G$`#`C%q&2x{wd1SKhBy1!;G2NIl{KKKfZyY<$tPf5Q<#81?ys){
z0W&hX67Ugbe`OQvVkMCfruI%3;aB|)^@;GyVIus#zb2muc}-y={Dr^14n)Yv2ozy{
za=vI}b?u!l8Xdor&8Rigy}&DRq7#17l-EpqVIv-^mS>V}z$Sf$AHC8Iuq*?}Fr_K8
zT67}hE3jI0l)WFHNnV9DEJ|Jte~1RerT4=GG3#V$8vSH0!Q7yvW3tOc^<4?fnH63D
zI{985mgx&Xk5U$Z)PnV;ot0Pyg8++IDx;S=-Ka!Iabb%#E1)dj0;VofZPDgD$Qr(A
z6G1MvXoDKV7Hvc`QDbgHc`n&!=#eQ5F~x0hsADiQm|Owr_)5kJ_-L-XTy_OrB?Gf-
zrD#_bre@=b>L`r2x$z7|S4=fqIG+PUo$BryjnQRq3Zr!zXTUH+PNVg%K+l;6o+3sP{$hMUO;Gp`1ck1Frlee!0Ors&+%SCTsf{;MIZ
zNj?Jg06)htlXOD}Lhn-u;B+p`yc$UQGVhd?f)fxcM*}e2Tpq1h5pBd@eDYQuJq#q@
zP)cd%BJAe|weaguHni|2$i!w6q5;E0;U~6a#r(bI26@{bR4F_FS|kKP&$Zl|cT&}vwfCQ#o@oQV8H=xjdD78pYvzTiZ=+6zlDA5Y-EnIsc^#CUEMEAC
zN4y}p7keJvt4TkmFloQ#IXr?XnT62+$G1_*3VpEs#NkETz_(74hylN
z2QzM8Pf7jSJ0hK%I*AeujE&bzEvC@0Oa-@+Hd`=7EgT?Dw4jp9%(NWF)t%2X>iX^&
zbns5q@m2DVZ2rs89F4eCNp7$yla73wx-Uln
zfj0GXWtDUsiK((eP<0h^I;EQEg)26X4_-+}j5x_rM)&lT?tIe=>JdI~z(gbOfYMiL=
zi6^*Gr)5Kpv>-`kQ;lP|UX`hVOv32kw1Fu%bM2j!Ga2{s_vyyywg$zx`yrE~yTeaG
z#(e-tMVK}{>-3#vl;@|98}{i$pF3$chJ7}aUC6K*lM=0O-+wR?ZN*2usT(?JDzD}3
z(DRB}y$(Rdj!vq6$}Dnu=d5vgs*|P`Nv{0XkRF
zZ1zKM?i)I3ZYb~3s|z9|@9CvZ%zHW^=8jq9{asTT|*)+aD_4rnK{&A02ytV#+8VP92@2oEbRf
zEizfaMl*X0fV6vAQXJ^}mPe6*53r=81xkG{ODg6!#B@xh(-rl#&A7EwVmx)+HLx5e
z5?J8j%eA=h4J
z^x1s$OniYRB{{P|vjCdV?E($0%&;|@%aNCSjfQcDrrZ}Hql#?hxp*XQLC`99O*B5O
zg^&CB7_m2nNwrM2VJrHRD|ust^VU6tZ7zNO`2dp2NGg@=Ec-x@r`fL!;hLCcuVAJn
z+|Hf^Ms1m9SLV+jLNkyz1+jzAK;8hE9Fr9INrlP1n1Q_6DATLxVqX3gM58;YI#Cfi
zFaK&NTb-yF#^3kh3_Y$kqQj&0#r{MxDl?og`Q#c-SkiSehbWy#r!$Zy9bSA3%a;Ag
zbdCU!O&r{!c@+e=F(u9S35$mDxKKG-6+a~(Xol{KP?)N$Zf!wg`I6h`F;j70u%7pq
z|DU}t0h6St5@uiy7;ZTPni-07dWNBA7%mwZ__;4Zgi%lyo0_hg=}Nk*nyPB(9#Fvp
zuX0gr1zk}**8lfHP;pgubyo!sJaO?}R9I!bQFlF7UH>Vp0sGzx4?-82&abCJ~}?Dm20YFjT*T^#U6ykAEj->
z>FERc6r{h@vG8wESl}w)heQWA!c_4}-VKG_4*rkr4qtbIO);_U^%E!_BwjxtAY7t@
zUsdWtxf6>cU*fDxBOn$gRQZDRFpbiUYDJKcH=_i}+k3)SiDG^hhK9e=ZJ-BXoWj(S
zqM{va#0c#{#utm(@(+$L!qG($v7MZ>6nFsnh8>|?^+kB1Bb4-%IYLP*zGbFWX~uyg
zrZ{*aT1Rf4Tfn;$7SbXv+5#PZX3(7=p`)h^baVzV1KnV9A4JS6M=8bOPKtTTp6bjw
zP3b+(c_mEOp5vSc84GVSNsU;&=9ZIElAHrL0X8@b|A56Uc*o1eqj;qAbXkLrbdCb#
z#k>-=9zTwnInpVIH`6=FewH&Wp(lDtf$L3_TTsg$^3HS0f;0bnqI2$!pr(vmXN)`|
z+0y0*P<0n*89LFqZ5Tw6AdsB&^zUEb*+_1?`~^aua!;3WPdk=-lB=->JJl(ajz-V_
zktZ8DNBoZ*d&*NUWIT04QJ%t6omQUu-&37~ql@PFROeqCRGiIIowpi&xs9>(ROcI@
z4$f$JsuN)aCFD5OX^zCZOrXeSuH*1jr^1iLtiAhtN6CCf?sJ{en1bD=LtIAhkZj1<
zR}w%9W7c=N^KjY7;O53y9V2SR8PEEr$t@ess*ZImS@!yVg!6ub=3z%Tzhu-hIK_U1
z6T9-QKGh?fpOhW+w$8O7t~a5jvA;a1Sb&g2uoJAfbU{N~QJRE^o_wurt9
zqVZok#ZK~%%XgaZDRC4#&)<`eV!S7fVv9(5%dxRv`q(b>_gH{t43J2g$yUiO
zx|@8k>pY*Fe$x|uzX9HIZWyOfnXbL$AD~{qhVgzbg|46JLnzS7!83hK*V4}9C*U=D
zuYmdesUORq>3fC2FxtjhFYHX;>#z;qnZ8?%PV{L#?o8inp)Fr@gHBX!Kj5uUH9hwt
zT&%Vo0>~rOoOwAr{c;o3V!LceE$5lOZEH>t+aN7{h7k7k0X<-g_)Wjo1{aOaH8xInRXGy70YpZN!zwf&04O((-%4~
z{b$sm`F8DZiGgtCo;fpypVS>1ZQ?0#;9>VK>+QLD9f`t^mFxnQypsv;57%1b)kbqB
zHd#JF^zzN7j+J)qM;MmxLSxFmBHjT*S
zjK)c-fW^T%QEbH7{0w3vE1Tn|C^lb+V-+?&`yuH?3;ZjL7X8TPjQ$*g&|OrslMaKz
zHme9v#xeU9+M%aS!w$e^_rdpC(Va3Tj%sJYAQ>(zFf4WezP=W
z|7h3xDlI&u_h9%`GXwF&>K~Nap?aHeBDGeZvWDdErk4}~ZN8QqNuqr(Fpa7#ba@R7
zzW+PfNZBjdQVQhceohOzFa<#b5b2U=KD$MPJ;IFc<553oPC4ZRY6wm&&M-c))xLYsUZa0f4={|0AKL
zG^I8AJ))7jKp0}kp8pWyD8vP_*V+82Hz|_}DifJe#`;b2OS1SY(8oZs5dQ?n3SrXh
zk{5}k;?fVfB6Ka_V*nYO{aE(>V-P0RKl@^(Wt{i(W7+p6;ifbHWca1J!nEnqFD{)h
z6a_E0=~h7{w&|Ezy5J|3Ve*$Q{uA-18|~?8UtOl7jB<$q`@!QyI!lRRos@gkOi1!UbyI3qdokIlm4rJBac|WeEY^
zklT(g`(2+UpgmU!Aj{1$@Do{jgh2l|IazR=eJ0D!j4Tx2E)bx-lcOf`yf0>Wf;{iW
zO5x;LiYwXcD>A3*phc;G3|aDNd@>k1RV5^sLACHj9_u(rCwv?lCdIh}j3;%!5+?DR
z%INk%+LFnB)2QiYoid|jJx2^PUjf}q=x~FpC?I5+C{FkGF2d-AX&{zt{z^PfU6@~z
zgDr9D#6g}gdi>4;)p!0XJW&`uJ!JybX)(qF)eA;l-`{(RTyb?`SCi(II;nwXv7JGg
zFTSulQw73}UJA-DW+l0=t-V3(0&;0O9HFArSGtBe3=pi!mCkN~3&)CVr1z3-7aNl<
z+X2zpMdS7yTh65WVwJ|1UFo2bbvV8`TXyYjBenaCatdc=$u$6Q_jSp2E;NYTi@VMY
zDYS-I#_6BC>%2@XxoU7N0Qg#~ZMt}a7GUWeC^@Ah11FbazXQoLdG|t3={#&$!5GIk
zf4G#;cX5ioLQ61d8*+elQ2fMU?oXxm}D%QPfF1K{yJgdx}z#tjMLJP
z^^}m{_B@4v-q*zpgp9^1sNvhKQKnKHaNty0qoVn?yk;PB8fow3z==+8h#8)s)9bNP
zIGq+EotOhHdpr}YMfP2X>&{@fR6{Cq1<89>4XI~9zt%P6yWv9)Rf+olH@}=%$srn}
zsPDIlxbIsCxKL33O5BhVN>x(TVo3cxfZOvJQuv)2Qjg#h8B+8#JBAdw=9`n_!xJr7
zltdd-p|1I~hY|+W0s1VPwrMx2$o-xc5{8xeT9=qV0@6zxSHF{uY;*6SI{xwoRywd`
zrw0L1b7o)}er;t`PQP{vYsSd>HPEN8MpgxoA&e}B7_t)no%2Dik+r`tvS47FASDb$
zbTE08-fd3_$-v1F(qtf6jeq{4eB25>d92z>K8B(`ZfQ{Y4XjgRP$eerld;k=E&=)8
z?L96uh$=Ku_Jbs4FZ&G$dvOf3G><+VYUIqfVjjg&1SrJ{Yeq9$U7Cx|hQmBNW3
z^VQnDQ5KimOM;;)V?$BLstGj+-C9kk8{tC^Ns08&&o3uPk2s7Xz26$*CX^82C=*Jk
zOi5CU3H4e4*JncEcVV3*~m6u<%@BbH{@%;V6B5IH;mFTC4Yy*n=`{`FAJI7dvqz78N28X0K2bt(U+h>VHYu+&?NshPW@cF
zXt#@jE$N^hikUQr%-51ZlkZ~71If2}2SNqqY0YKxh6@Ql-$?P3-Gs}ZfknPf?jaIC
zC6;J@`(+G@#Ju}6th9`?cfJL*N;2lTPft^LHd$KEQ!hFF+;b&u`GPIG0i<6WwujlG
zP*>Rx`f!*0vrlUo`?BJ)u!T^`XGlfN{FywRJ3-s(y#IATt##htj(~7Q9^zM38$-E$
z&$VM%BE(q&B*$#eJL8kJ`DXy!ha_b`6WJ%w-uQ7qtK1zUq(un37i5vbQm7!w%@%v(
zK)|if-oWq7-Z&4R$ljo**|9g)2dV9susTqtQE$UpYPH2d
z0lGC%Xcx7p5NiFUn@aI3YSeMM
zn^H(KX4P{5^1hl?cOVjZ=o3Q=nGJu17z#OUvgalIw22T&X<1pmNKQ%a#P$c0_wsIp
zzSWt(zixBm$6j4R&tKBE6?do`kPNU;V9igsvryGlv_Y!ravHmFrZ^GjG
zI96Jgd<_3A&sbc&9nS*0IE6uGEKRS@0P5fF1_j2g+I^lMJpsL`@AUirIBxGyhd01pDU*>(v><7TOfnWE-Kf$hX
z%%;7MtU=kdCjhcyCxvUheOan(Gn@8IZy#$8ZNvOZ0qNDt*(t-rko~4RJe-p_`+w7A
zx3@*Q>=PKL9w+(EW{w%Ef@at`k@3{UMR^KyWLtUae{*EdeU9ua4JyuNj_iifmwRbQ
z>*&dLVfmA)b7Ui|poAPbvdxirEofS;a2lyx@eAMDS#Zhb6-(LZ0F)+$f%O_iC5GmBk$kvp9Og?IL#07#L-#
z<&!O3Rw&fU$krqNG5M(Va2&NB_xI$Z7VjyJTL0zmuK=|e7^SGSi@LV6iPsWdK+sJ7
z)`jfJ-zaQu>;+XL%#FkSJ^9GSdx|65G5-Dvkd1*+ifm7+)y+k?jd;6i#RLhBw>lx8
z<{z$4{?3Ub*$7^P^oG<9&1EUo};zjt?OBIPdqGpF0!8
zPDo?lUJFVDMj(zrIi5@91bn1`S0xT*0)tz*c)^`sTVR{6gL!AVqxA~A1gCQCC|vMW
zsa7W1t%-WOi+TT+LQH43F)~)~K#sV2Wwbt4!w|Dhw+b0;2PY>WdtAL%saHovE1kyp
zgdg
zcrf{i^6s)dVb4MC%62M)t!BLf38KeaKub>h&8@Mq*0p%S&iG`fTiH~vKw$UE^-GVc
z;Fid0_Ny&;BElV8FRK=h}u((?0{0HOuYHc97Ee0>74>?j6;TAL@#VhpUx}MiC{4G_G)jOdeJDZ4kpMsd8O{R#U
z)&`RI7e&lsK+JneBBr3Unuz(df|#OBrih`|29o=WA_m3iljRVzDpDDx({%Ek6c;hA
zq{F8M29kd%I{Y1B_}_{hzIy?ajDsj8P52+4dsqm6Q-y`H`PTtmJ%MUY=r(s(*ujr8
z8gZIB(5A)SM>ba5kbzrFh|CCbO@zW4f(fb9ZLeHiS<#$a0sn80wpOfOam|XQor(HL
zqu$})>5>|pbE=h*(fW8}1g=!&C59@N|1Q8;w>s8o;k*mi-I<=vHFOhnW%F2d%g|Di
z9AoM_GGZ`H^7idT)k%44$8QlK7UQ4L69dL1wKEWMd#G=nq*6KPy>cF*U106j3`~#Q
za9eZoksIEyx&lwY5cmlHu7Q7Z$QJ2>E!m$@=*ck@Qm4zMK%TvcJpSpDizK6Dj7TE=
zQ6$;=#9#AYncNG5S6J_sOOWyp|1YIOXeeFsXpH(w@;F6vZHPgiIFhy=D=p)}TbUzi
z%skJv!dNjy4%VYpCe81oz$!ngI@RdFBCOS}HJY&es(|?pDMZO>gL+4X$8lw$-3Xf-
z=X6=r(D`*r8;N5uJ~eZl5`I#3h32B*Ncoj&Z7rgeh7dXaODE5`(WakOAICWd)_??~
zyQu1Hh)jr`w4iM@X@Tx_z@mhU2ew1=7f$~NI&%1WcP3Dg5u^>90(V@ouLvtk&&74@Ke79?=YiH
zKa5=P4kj4gMau}@5zuy!;7LSf1kc2iOYkh^4$fr>Rq*l)gW#FHloGsiqsYYt&x9af
z@OI20aJ=B@GhP;PhQ>-~eCB)BP0hSO(j*E?T<|v2n5{D&e(Ja2y})SGEltXdcRj)A
zE?P$LZiKdj1WzI=BX}mBT!LpQXAwMuCH#VC76!pHdnqM&?}#E77d#V!e8C&ZA#kkV
zq0>{H@wS$m@vu2LHOI+~&iNcxEr91n)Uf$GGMapq*Uce$q{{ocwzXRs+|+7~k0^&X~0%AZB18Ti{}!yuRKIr
z5s!4>XAzsLs!3Uc?=#abbG2EkR3|3JU}qX}ruUx4>J3#gSp_Q1R<|+@T+tYx7^_26
z7wnqVDw`p0?2>M4WVG6WfItZx37VmhjUzT(3m9)D&1jEc;dgaq>egtAWwaesa#%+A
zDM~pnM0yCV!G7ov?r*f{hmhMv`x1oiqGi
zoNf~xoLe?kM#LH?Mj@W74ijP++3+mOQ403#cLfT~9HCB=Q&+7jCD$pvHk4{7MGDdK
zX?>#Qf}ynG%Erj_GSjlb^d;d$(HZa#F0?Vd
zrx|CK)%C>ERjU|>rUGwghxbIGn`>dSZy3)_WWZ%bK}1refmA39@D^jKWT)zy$Wp6
zCO<_2>S%ML2^Qj}X*voZ*Y6_GUfUH4I3N1eC|2W|=Zl0CV6bcm5`K!(JOLp{KQh{M
zs}x21JW4RSiRSUmAq%o;3}`p?2O1vY~0D7&~{O5Cm+}mM#BzBEVw+iV+heJii|W2(aEQjevdKw
zJ)uay$Ic>#5!k{Q{*E%zD~yp|SY)IO!=PO-MKSQ=uAj(8dbiKNWV;$6
zve$WS&#^dq(DP;nM-RSYX7o__cR2i80smIQzu%7j4#k8g!$=34{0YZh>JqF1$uN2c
z`dGq!(`X8JCQZf62|UKR1I}K(0g4$X$JIk8
zr^5}fUD!CNYW*>DGoxIgxWia5hD3W%B$p0ai+Kwgz_Rr|6%3VXZbqKQ
zVjZjY<^Xh?CV@dZ@#9!s_>eh*%8HXu1`Chc*|)cotYvs_
z9>mTROCao$i*FmXblZB=e#r%P<&$Lfl8Z0P4(2ZjOW$$vOF77*cU+`sN`8TjW$w6;
z%mnj?OUU$z?$0?u?FVW#*&qI=X$`TG*cm>61X|%LnpW=!S6V$?-qM_UC_sARGgOY(
zGu@qnmRT%(4(b(MEQ~HrXr+LCqaOM)*v#`%`H-Fb1y1DLh09Y
zxf&VCH^HD>VrIYdp&ZZbcMv|p^aoB-nQ*JO9{IIG>`qa7a_;Pi>}+E3CAVhzjkD=$
zy+jjIA150Tx`E_k4x})%biPv^I%0$mpnNYUQBOx0WZDYN0BDjkie8c5Q><7N+Dwp~
zv=rE@0U$H`F~KLYZt2NkKPC)fFjNcMkVl+R?N-m4Y>wnzm^L8gooO(&p5f0-ElD<6
zc+9rmlht+xG1zFXE-HJG!5?8Z+$)V*23Of_IPA(NVyX@I0@*?DMdi$JNQznA%qg2^
zgllD0lJx6lvODCk7*FVU3%QvrMNIM*Y%F87^>)z#XVaGcQfdjBn(oX2D#&WH!lm6u
zwv%LQn%oopiYfi$V4`0LhF^uFWg-30hwy3d5WH7R{UcNbQzrC6um}A;`I2Jup5l^X
zf8XCrGiIC}eIT?|(2iaORpagG-Jlk;qmf;l39#oA{~%F)leVxL
zPl9sXYTN@KO}lvAsheQesyYHk3ej&^ne0H2B1A`n72N4g!fQ%>4RduxPS!%<7pW?z
zhvZCzW*|A810|SK=Nna_@e$1{DNa#ZY;Q`C)_P}K^s1n;1&%{d0xJ{D3
zLq#?&%i)Q^`4?h%J>Q%{^Q9teacjstvjF%wZ05jt)ChP8Q3EPD!sYRk>gd!o8{iBS
zmL9_?cVp~ZFE2FO^D?7I-Sq;3&s|hq=SS|+Brk@x)lC{*QQ<7gH)$l2GC@Hmj$q{0
zoOzaV2YARYS+nOW1p;oi>o#zhfJ3sA9E9Sq`5q#2ca9bm;W`&n(fmEc#TQo_;2sl7
zPW+VPB~knbXiQ~1H}w(NkFhAAk71>7QCy?07s&gD5((#Asw{gh9Dc+zh;U-&nntZ&
z6B22OB-Ucf_sldahHCkukNTmgQFHNqknrwCkSZR@tx(vV+3sVz!&eMQW~VV`l5arq
zAo2JT0pVhO{HjtD${parvqXxw6tKS8Za(WjKybQ|rLaD7Qxxladly@$VnP$sabeHR
zs`2WCB}7eSzKV=aJILd`8G?ok4^9Ti2aKSQ(XWUXx(5f_8k}e~nq7X?e6kBHrexV2
zs4HgW(zB#A3H_lz(Ah*MQ(*AfL9&tFOXq^S>ADi}##YN56D$M^kwPnnoW<%%8%JSUVsb67N@-mK+enRCtq#XI+36>B
z$Q8JRgq9xC&t9$($#O{(p&m%aIPgNH>0)bJVay}JB=k2V`jrih=?kB}@yzv=jSx1*
zwI}4b9%12RKm!O$#EXVtF;|5(+=jIkOm)Cb20g)kyM7dlV5Gv32LW2#JT}>=i5ri`
zfq-xe5>TgEW`j!{*I_Ya7*wGsN`74
z;V0Ds%U#F?oQM0U(WY1K#bWNm1f#pCYOTgD=I({IRcmz=e?I{G*`$EcwBw68hA3_2
z>OBwlV3CpXPAtm>HBXTDJlrEi`u!eM^3CKbhLbNrVfT9A^?*BVJz$=Pi^8z)Jlr3O
zj8yV_W=(FgyK7-$DYuVZjHN>CISPQ9Gh6d62q>iU_8eL%%MsL2fyg;Q6VOe_-*3Mad6Lx*fE
z7_t&7O>`YJZ;TSPy!=lLP|q(X9BhcmCxzpp3MnK)gnuGGi}X}Dt2V47a9oI69hfMBs09hPkY6W8#b(4OR8KrE`CIf=-=
z4?ByF$o`^H%aCk)G!J&=lUOyH=aaI7c}cy}!Pt+;@!1?sAz?i!hLRs(W0|lX$wx3v
zSOiL+G9J%?XTJp??0Iq6R*;HDazw{rqu4kdR4Hf~2i4z0y`l~(5r>U^gK@v
zkfY`koWAoS1bd%Hb)BP`Hhl}hu3#_BWgZ@RtV_iq2B5l{iwhlD4sH2tTb*?^!)!HF
zjSn5!18T8FJaT7=5bSx$(8xo+$poblqpwefay-i9N%&|+nXEmXf=e(xYBun?rbL38
zG1u`GC2u8XBP4K$l>;P)|D8?+(IvtH}Y8utVDLtV803~v|&?^Q-TK^S*
z%nZRR@QEU=>B(UTa)`@BT360!jaTu44HgCjPtqWxh-%0ov5)>{h}Cc!glr1%m|(s0
zSqp>B$#HU6Le9sjvBo&~DCz%O>HlzH=-LfO53PlKknk7&T(p*Auvb^Mw5!)Ny3=zN
zk$sK9M`01!&o^or+-JApuq&U~sWx0&cF?=JoCVI(eC5Vs6Q4-plbK!GPB*;Ru!lK1opWX+Sr_I?xeRp;z*)H3<)plr&
zk6^GWZ*(;Lofi$s@nEM`O%=EjUV^&)AXN3uz{XDP`>D7-iiM~JECWd21MKXF4)&Le
zgZ)4sz(%!Y16#gFu<3^m_G87tezXr@qn@>aE#D*9^g{>xiQ-`Yu{_v2iiv?hHxDM@
zNBV%U(+?f?C;uxjtFj>1)v}kt_kyYs2NMqW_jI;Rl-4s*;yq~x6Lx^9Pz;Qo^>H2J
z@9i?Px87bIxO}D6?hbdxtL^U9lP$<-GxKtE0iUk|p&K!(=m*I2BAU5vblQGI4hA3f
zu{_N`7M~J2CyqwX@%QAT5${Q((e_8Dqk>0$RHOdB3Q&lFP>MoJxKU-L(M9QK;87pV
zjsDU2X!N`|8r|&g$wwpJlSZS37q*(|(Ixt!kL-4Te+B5oz$ithT~wRbMyw^gfKUPE+Xv#v_Gy1lKCh-(zrO-xV_-y*Ex$MqJ+s=1MZI~;o#(R1XiraM
zy&dLX-4%iwpP$G|LCSdX#-UzWFCO+Sym;GW#X_#S7C^z=6geSn<pe4MG$`m8X@jj-i`o1OoQJv!>ivB-H<$^(Uv7JowA
zfrAoBnTRtJN3blmo&vL!JA7jhPe?ZJ1y%s0nZ3EKCZ=EqlIP~28IiFQqsZk{)Gq>S
z(9^`@WCz!+BoVl{+T22i9+^M1QXOkSPS+{AZQ929xn8Lc0w5}Xx|sx_=luSDf*#0}
zy{ZF0sqN+RyAt1obhiaFeb#8x4z^OzsUB
zV%E}vLBmk`evy&#PV$0fZ&LbQXY~7ck$!&;mAsaidOb%Zh7s7p7=E)d(v`+Ym;6ZQ
zPd9@gzjIz<7zXyts4o1Xvb#%lS;`&gmE}}p`OAT#GTY8qRPW89T&$u(w{ei7nszIy
zJU{fYQH0})YAsZ9Ow9O6rCdK0)wxESLCkd)!RRhpMp2y)Z3l@FLsYn;sume3@1%^P
zy1Gce%~`~7u%fbI*r%voR%E2C6Pu#KFDkpc6qTi%LjiGF&Q(-G<_8k9?R-UbR1W20
z6%}q21u3enZbg;1^K_4aX}4r67S-J}P#{XyqQXxq<@%whK5w+?hmp^MpCK6CMaw9v
zFF@Ntii#mBTv0tzWTd>4GK%WgMf&~aEMhoVQQ0u;Q&c-Wrt_zpK@^LMbz)Og_(f%R
zm!h(ib0{h<%ejh5$oxQJwwc~}F+IUw7+|}5Gijp-MB%u4k|eeD*U7pt{-~pe51`E-a3b1
zbQdk7r!IiDgY=X{RA$Lw;>pF}mU0K@^MRysFQ70i9?V|yS$$0odLvo=$dR=wr(ZHr
zuh+=AN8FCCV?URBcj;dg#Xp?KUqA!2&c*nt-#mVs(WaYm75(`-g3(>H43EDN+79Az
ziKq;Zn|N~ZxTV}OKL@1zol_8a+iX3bx3AAZYb0;4y-4G2MSAI?w8=Kx8_8jCUx>q3
zqL_y>_!nrDRtCpU{bukV8g06{R$=f*2u63&G7SD0v>n9Y5>XijH}T|Ra7(#E0@xts
z@{rQN>SjOrtp2$i1V^&^1|HkNb-BpvaO%iNeXQP=7fFdyx?Z4yycef_T%Ri>G#rE#ITv|!MQDF!>}*g!_`Gb$~plhl~H8)MP+xFBD0iR5h~nL
zV0*z;K&6>I=Bu=QbLg2-Y2GHq1+A9_ILmp)N8Ad}iNp{YAI}JA^)9woC?Wtvv_kQ;
zchy>Ln0Co+$?w<^8+Y0}cC@e>Z>cTy5(nWMmDUqrp(((b|99)${Wd)G>d%N
z5CdK92By#ZN7+d4x;a1Xl46tHJCJB+I!-0Bm%%XKUDgutE6JGj-22K0R4CNBu@Uzj
zi7eZx8gG#MH*)0Mi2D8-71vL3EFxCpW6};PW`yU?@FD8DHV_AeP6p_c|M__3~;
zb(Tzg!Ku6_EjV?743vf^eN4Oidnyo?$^dYy*8mDFW?H~TqJ{WL(1`ue2Q=s(kS~Jx
zFsK@FfZ}+6Pd*~?o@k6O=;qt;da
zo_y5eJ?YdsT8wPL(S}G(`+F)tEe1d-YAwWB)JCZ7o0DQB_^6ZT7XMIuOCQ^#{vHd^i~&-LW_Zw#tWX=layDT8A;4}5*c4n%1`n_haWm_+u3ANATPy=f3Rt^%dc>TdXpSpNm42s05
zi(9bLGAfQE8uXc
z*SM0^PGAH$1n!DL19#-V7b-a%`S?loZ1y7_;Xb2HeNAp~vxpx4B*Ew|sygyxPhWfn
z+EyL;*W+(W+sscgiqjViQMx1F7m5CGk&*IF$~f|WQKa9WLZ#qH^lwAqh**EqkspO&
zU)${i8N45>`^)G2BXbZP
z$@#~k@6^Wn^d1gXhBAJx6ZQpBY{gmsIvOodD;o!mpZd-EGe(v
zSa*?J2Ekrq<=itc^3afgkv3Vib-b^}X4*=xwun;^UT=vf+F|@c6svJ@_$*<;Dh~K5
zN*r>om;8azo}0fFQFxf(a~CZm3XekDL88Erq?xw89e~EdtwYZ`G5%0wu)Lof>o)HI
z_tKx~baNw5!SfQRG+PGlF3@%ao`D%ND#zqSm&&n}TN5jRl90XVs-TEW2=W!teK{;1
zsfbQ!PTFSQYZ{#qy!L3?qJW%>YVWqqX;FN}_07q|XI6cKpQ7|lz`^cIjW&a1VI#rl
zE?P$CJR8~$k_CyVj4YUVa>;_F+)6S1=5s?T1re2i|IJ?W`Twao=#J$7Q)m;bGPtSL
z8lxF_V|%h*X(+R9dTq@ZoN~d4pVgH*MEq3JEh6KfOTfn1%~71jrQww{bgMMrrzmMy
zhyxZg68j-(NcO=yj27JtuFMN>B?#R`%gDkzq3s}9kZ8)tf{7)UELh5|iRBB4&0cg>
zkP8!ne7Sg84(cQ2;;a$dw1C#>=Eg{aQYmQ%W3qOtYnn*91Hh|1;e@%v_1!40<8tv$
z8oE_3@Kcmr1k4hT8*RGTU6G8R6O8VnWhCR*&~}hyNJM2M!^D$IGA!jz6thG;bEGm-
zq7jf56RLb^c_@b*k!I`myTY}CjH>gb%u6x6b^w4$YD^);lRUB{T7f7
zMw@;ZxhHu&!RRhpMnF!1wu1yjA}S*wCZ1dZVkx&Glp9iU2(ALmZ}yna{0HZtI>Y?l
zCPiHO+XGzUJT4tK3j^cQZ)V=}4_kIU?^WLQ7GGR#bRZiupIF3CiBhs@UKGWcA7kO}
zH(;flolPZC+?i~rp6>rbkIqIGG>+E^udU$eQT}_R)$GC@5}2?Myg%1e$KVd(kN3|)JtkNP!e
z9sWxEmO&BmA;rUTjUVl`cy1ZQ@9g@Pe}RFq>s#n4bA1aP>EO2v7Cv(_G*TTKq07F9
zVRJ3u+{vLltE0T+j|Jjr%{b4V^jHsEj{Xh>
zm`9MM!$}tX0uF;$#(4XdoHHKh7&KRAS?h@RqM%;yBp7Scmh<
zK94!_2iK|s0}?M;t;)i3JX-Y>=#pvG|AS9-DHc6Bv?>R;%%xasM#frTfpv#57^^-N
zpjr=es8+2Vr*36@>AN!PK*91_gY0mhRl)714?$=+^R?s-QgP4rvPPhad!}rpcf&TA
zGBgC)&g&`ha>l_mc9ss!?&u?T6LQeeNAAX;s!yDR$~~0b%Q6~RoNMTm8p#%fac(s9
zK2~;htLPNUjEcSppzec;em$a%t7wJ@QqdP9PAFS@&UFAMoYjB~QK*WW^=cb*0|jc<
zr*KoLTG`ULrrzY?zi@?~MPnDPFC{d22f{j#yp4k_%v;?KvFPu4A%=wQx1`vf{n+2X
zi@}qK{rwPDTE<1i5&Nsm+$(HBy&GvoSn0GT+mN9@RVwDzO8NyCgY1{2HtFLpL=Ay2
zaz6`|93C?Kq)z?)h}->v(WaLjMXcq+1f#pCx)6_z+kF(;Ru|%L#^1KMU4|$vxWSu2
z`ag?|ly_qBe*8-D`6Rvs97}(xQ_YPww7j?vatT!O%_=H}li$L~O2q9(Vb~Y9dvKAF
zN`B8cI!$(W`CKgJ_Oc1F6waRYGw5csC9ms&ye0Pm>V0%Vl5%ee>ZU+%$=y^m|1iap
zi|gIVc2oKq2v_a_DY_6jDoPN%y$jE=uup|)?XSdr9AXI}89eLbU=ysz$AJ?t^KpD1
z2F83G^yKhyaEHNVD{q`ZN8KV2O^iZtdF^^j>P@&t3ig!Xa-h-sdq<75#wQwM^*?U@zeiP)FnR*rqUM+yRdRG5X*RSPnxM?f`}cTA==#liKRB9aI*6
zFFCv3#N3N;$XA~5?Nr7Z;1>Xg0B(#{8Z~x<+sJ5r|H-@jDzYrf$-U-XM5ytlp7^&pd%f%3iV>Icp$Ug@0mP&GSIOh!0k9z^#Xr
z^UZ3pW$)d=KP3h^!jd`(D=p)ao9~}Eg^8Wq!9N$BRbty7w(*;-ZlzNPo^4akx3$Ek
zRe4NfmiF#1jT$+3Yixu{J}X(Zc5++>nZ5gGL))sga|HgjxeP8MAYAK6{Hn4$lv^8(
zaVbOv>Vn9bFnCQET7FzWV+yjmkoy9yt`h@Vy^BSq2w{t|x`d{d!eFtw#sG$%$LhlG
z%<6h0KGDt+J
zx6;8l&8-x~jJfr00J#t5);FOUVQw)j&@}sAPUu{7Yx&tQNhzFIxwg?A1#_v!B3J}t
z<`t8?n*0cR9!UO`10Yn7&aSq-lx@zCgt#B1h%2;_BK>^aLXp2EhDe(K5Q83JqWl&s
zE#u6dZ=xJ=3A+hdA#XMZN^0tc7MBC*h1LLeSo$lU_R6xuK(YjC_^cAeWr27JoIHO+
zMf2@U%}>WkslAg}AaV}I3{Q~raI6$g&Ykgc;pw4jyIq|ov9#7;NEKcotRH*vZs#EFDE?uh}$TZ@LF@iizSqUP-^~4+>0etu_U#{
zo;n}E_1RPSo!L`Y;}h9a^fWv6)CnVPJUKqR?u=nJ54er0kugloAQNyO;V`X?_Da}S
zO)>u(O%CG4!>cQJBPV3uo`QeVS~70T4zS_qAxOv#2}S9z$bz`K0!j9aJl(5SU3D#N
zHg~wAeDv$WAJ}`!QqOQfzXGVM8hNANm;Ek~N5kPsm+M=MTE<-av#P0IzXuu_yYfj04~`jq
z2+H0hJLtV|8<>p-rMa(e7l_)C*xAG6SYfziKj^sozjA2ILep^C{&{hLf7}m%x$$5C%-#~f(+0qceyuAdT|~T$
zu>h);WQ@LK>t0rT2>a6zlF$VBNBVp6}ADN-$Fc94xw
z-W(k-^$*5Jq!+~z>2>~|d_>|s#SrQ3{@w}@i2+fHNM%xW|Gj@eK0WX_v9lK
z?@1$6ZmRBY`ui(DDh5U=QWZ$m{VV@Cd=&b59EG0n_vE7x?@6POCsp^ZzwufN1!%(n
zC`Fq-+){9ae_TFV9RgLs5gTek9P97NM=RcwMyr5Z3QqI)Sb$~>kWw_;QLMrF45guO
z`&FyNe2b6zbbGmfI6eek%1EV|EsL2eK=dbm>U}o+efrpg^%;q){NntWigj%|>#69U
z?C{dK52~baX0}Rhgk?`3wn}bB+OmTx^TdroI}R`6>%rWun*C2FM+n3jK#a;5TsXb%
z48BbxSkqHNa%=Kt8x{-L!rNMP9)BR{;%P5|js=_I%vDUTtnC|C6)(8r4nyS}6=jM?_>W--@w@DF47{Q}RQ0|1x-c=AFt{xZoJ=v#{e8r~ekSC3?mtOIbCeuDZAujkyrFuV<+=$VpAM0H7uOt}VMazg_9oh~OL53(@+4wH=
zxUR@Zc_(F*+$)Rp`?6WYaIliIVc4hS-d1F!tP`7(!!IhkyOf-zT$rL#OuGSu)
z;ab%iep2b2tJZdaaf&4hJxk(I@XWs&?fK#3D(wdZpSx%omG&cOJ4mHTBxNRi6Gtvt
zu#`J0jvFK{dyy4E3e4W~rQowUXpfeH=@=={gczeK5^WW;ebcjxdEkHOT5H5FO0WY}(D1!`Lu_)R6+RrrkX&FsKp3zJ
z41S6dn1D3o4;XE_B|#CI&k~I8qGg2Ui_mtE&`3mOgvP{^OK2?Ro>G`WQkf~<28fIa
zQ@+T&KZh8RB6EIIyUIo2!+Lo~5vlQpj_mMTox|NMhNI#V^8_KlDlzz}-x9N56pVbD
z*#|1kmXGrQXgf$^B%(4BW8%prF_v;0%5g|4HYFPZ*)gHZmz_WLS9UJfuDcM33A)k1
zD@tpJ){67M>Uzd|2gXHFY|2IHX~d>hQNmCC7NwfereEB-C{+nYchNGF&t_;lNR%X^
zGNNSS$t6mbau@cQV^Z1bcgrAbCj9xrc5V*gA}6Z##%&n_d6wHUOyRQaaOT{Y@unzN
z<>GW3jo2zq_^IFGbhpu_TSgRH?oNWyU9^lieGu9X5+{kMj5wKia*30r+>tRHk;+O`
zH4p@|=X^nUT@K141>q9&@-cqIN?bHn**sR=qWX?aanL*jo2zgunQgX#9d^97O!#T}
zFNrtu)c!b%1G$v^kkDb368sb;CAk-p{g=_AoADJH`6EH-E?P!Lw)ah
zOGYf^PVWb=AP>B5!FF)m3jU*{SiQcq3&LfBoG)CD;dFlmP5{Eq>dkHk^0st35OD>rHy+q#n`88dMIcl9LYJfCfhknJce5T2hs)7A
zs6@VKYvcfaRhxv~4-Xnox@R3)0qAD-rfmWBp0s{qdOaO-Tz@4)*Oi2>wj6r4P5WLEJ%Og$}!0;iz%PNINRz(2(d
zPf+pWSSg%}2l6>m+}%@SnNPS%LKrpe25>Q@<*%oY5(<&$_!z!beAyf9G
z4A_-VR@9^n%Vh`KFfw1#+?SL=Da2H#NXn3Y(ADKBa%d%zGNkxPPR91KNg0OKqztpb
zr+kfYn3|{}jkGuN93U)W@oh`b@JugGyr=M=0abmw6UMpj3#fRX(ld+~2fNV+u#u{4
z?V%m%S}5OxX~ur&9QcyrVBc6CY!S|%*;~T!)^r6%w&)j&1N^!20QV&g#t(}R;RiH?;4`eh@%Q9Ag2{W*&af_Ur@>h8
z2Yq(d=h>vd*;NLB+X@X(m*vu69N-_4?=0!QP&MMH@u0saADMVh8kus^U>xu7tpKSQ
z5T!^}G!4en{e$rl>HIh%UE%M^MFZ_
z6*V0aA))=^hgL9S3y_%$o+|
zQ2%gz2s{X?f*GN$nMB?T?*0@%^>x$H{yu%|!TOBEReo`v2E*zNnCmncslP+tZ^A8z
z>)A$C3TGw_#{OVa_aP0&rAXUto(3aD1;77#fUg+h(_kEvn+78-A-Of#jGQ`<)VvI9
z>=S|Odt0W#$l$EXfuEB!7}GJB5_>V%V5Mc;0r!`m24f})2YloH)lkWChzvieu4T(k
zlXhS_Bn`&9j5hTJvBA;eoXk53Mt4zlTPo)c7&9Sw@*Zeg-FzCx-?lUu3{l#Ey=gE$
zS!ATVlQJj7A1u=Em!Xo+39Di_`8X7|MHo;BLXyF-c|tr2!@d*ZKQ1y-$?us+CX?O4
z&t?r~v6KrtA+Dymk*dB}8VnN#x1}NWL|>IdVVvdp3Gr7@(RrE%W8XjOO3AGia70|m
zJqao~lpKEQw~{;3XwwfP4=o=g7~Mt7h~QDsc94=|hzeJ7rxzJ1@1%^9yQE0J7tJDu
zgO!{O!#*XK6d5V&1Qb|C$>A53-Cat~QZ7u%smGUNm7H1^tX~s`d?mMg4uxZt9B#xF
z$@Q}}C)ZEj2H&j)mE2lEQF5=P!Q<{wCf5&sQmNh#OYXf!n|>I%l6x1y=q_4D$=wNU
z2Prv*sBk6s=^`WLos>~>|6HWsug)TdgO!{O!#*YV(;_2fo!FEdeo@)orQ|H-!jzmU
z-?2(gtqV%dgdtzay*h`&kxFh3bN%f1C!H>CJ)o$yy`hrBcEe99opaS%POhJ$jQ0HS
zah0};;Byx(qtezu+d(Q#A}KTBn>cdGf~8zQmJ|DuCbA+(f!TY$6zrLU_Gl@Xvs^#*
zC@$kGm?{m|I=SPgeoDbsqdhlkBaXQgTubn|i!Ix+DUe9YNP&qXmlRma1u(N}
zx2DrUWJQnyv-f-{cy12bqorVLOvWp1Dx>`$^@KRYfq4R!J`lxaTng@_;aa5tKlM`z
zK4Y}!W^F|ZK27ksixG^IU?_
zU9`-sG6HP}35`TlMrcetxrD}2u6VYpRA!2|0U~3saP7+ZWaWe7b5+_T!sMJ-dtVC4n1fjcV85wy!v>hZP5=|Ky
zF|p*55lgwgWTr}Gr!UQcOqr18%hXg3i6Uic+a$XBLKJgy@%b!`+(mQzs!9-)o5e&|
zW^da5XJDeMA0oso@qx$yB^iuP7C&YTNtesGL|2az^7Izem|y+ifhOm_f~xU}uJl+_
zXQHb%Mv^W+e+9^bz$qCLwnSH=Ku~TMb^}??s58Ril|PZ_>ZJhzojg?%#<}|vcOU>f
z(N%}Ve)cQT)!-AlJh(}ZFz`fIhhwFjuzXvhD>z6Ioao9|R`P$E=*m|dnC8ToVG>Uq
z4>f#_a6|{E9-^bq)YFn$ap~9INfeL@xHM*Xf{GilQaBa;>7futO}iCJbTt+{4o&sM
z#k)r&y3(~1lAIFn4J4yPa<8xu7uEC22`)l%L~)T{3EjmKU5PV3LCP?>jh!MBhp8lY
zSQ1?k&OM2)@Hg{f0q}~}^
zSs664w6WAvmGOFav{hR<(>vPweaO>jiNse!Jn@yM^+6a+ySutlZvu2ETZ73iY962g
zPhF7)$XiC&A0Gh{saBEB*n`P_(08&w{7*}eDKc5?3?D$pen>Xbd)1m}cIxfUnoaHL
zYO_5#-l
zrG~K75HFRFOrBh7xr)H0DS|nEwLD9U=(8oqi}C?YOjb-s=9eWNZ0V=Gsg@pqs=i4_
zVEj;q@y}3kJ=M|#SL+Ha9++87?GITilWl+!zD|D^--JFQIXJA*HUGG8wJTNaP
zOt=k<6lP@|zYe}4^rp-{8eCp7RWbk|f=<{U{~S2FgP4AF#iFh(a6EWEcHXHDLhZhM
z9CLD1b|?mE!kRl0D@k?$Es{KtxgI|L#`r@>!HE+V$FM8oFTuG9b@D_@T+L}*eifi4
z&y5-+U)!Gvl^hOa{G@W4#TeBN6oj0GeXh}_mwQE^<>dsUyQpfp#-4?}653XsWBcH5
z+gVtKC~d&rv#{3|87c21?*zrCb_Bi692g6ZF|wk)v`D`%hDyF!QpIr6fx;1IVG-EE
z81|i@cyp1FN`BAyI8AnU`MWITb~EHxD(#;61r)eh-#u|N1wN3RmO~w!Dfv0pQ>du_
z9P4thXN3M)$Mnyc&6-#HmMe<2v%
zMa#&=BhYq`Trfn1Yo6a187c21PxIh$D4}`Q8JcIu1v=H-Xj3q}2rA8%<}uH1Id!`Y
z!#>S(P?3?cPJrJtng_qA?C#P$mU6pjlAG!s{XJ+Mvu?iD`E(BNXS9yDN#VjhDWFyE
z1VsBQ(0wyVMU#HHaGw)JU+%)a6f5PJi;4?(T{T@VjMuB3$#xxYHj!%wW+qlaRinC2
z?LuIVB2`n?C{i03=&Bf;kf&}GYWPGO8Hke_ao1;3Yrb8svb1*+BjoRWdCc&{3gITK
z6i#v_Sk_`oqtw&IxrSPOb1-BjW+Tyc(1i3xqLx>^69e3uUrsOpVls*W{K|&AYQ-8;
ztd;$hxT{vI`6Xd3u39pIJ+4~(&Rn%$g@G|wEj`VStM=H0@q!;NdI?bVf9eXLuZ;(w<%T-a*X`H!vq$JBVE
zDIcp-{Bb&cJ3TJnZcX2AP2Y;^rK~>Sy{toL3oYw6U5ESxXsyoUx`YJ!e19Yx>Ahs`
zeZE!%WE1sYw+$(0b1v_y!DDgOS_*)^HQwsfT(G^5nqH^#pGlkPe+5#}GBDiJTQJR-qIJ_uo^EAqXQt%e
z>>rsg+vuh^nsxm>`Dn&_ilf;J{rwf783Usf&32OWp^ah-@vC5Z_Cx3UzwwXBN3C1q
zsP!&?Pd;k#p5mzWcmDngP>X?4mRj66aZsx|rBDlg=+yd(e@s4VeIbro5Bq!aQH%E!
zN3Eav`zt^#21Yq*NvqOIE&M8}ML%?EE!v^5^{@b{!e-M`)y;L!?6sG_Cm*$VPjS>b
z*xz3PYB4a%Qp+b>xGYepm65IW{xSJv>-acoo#XGxM=jn{9JQY1@2>#07#QWKCD&$F
z*}|`qTJ%Ggt(JdGK5AVRN3G}id-73>_Y_C1SNi)aKrIGFS!(%Y3m4Z4wKB5x4*!^Z
z)Vd>%S|9ND49v#K7
zK_NVkB4QvEDK|Rmh_k>yS*cdIm!>gN>5Nt<>J{`@!cFenV>u*PCA7Gl6_Nn}5M!h8
zPgHEwym7Iym?#ea+{8r1AWQ6c9Ep{dagpfT^#PyI+;^GKV)1q8Z0;{!Svl&cO0`*O
zG+~zv1MVP{wQ2^lW@=SBlbh(S_@PQ=<7mCI0;)G^^}&@Zc+~PzXr?>b=}Zt>3eJ#Hb;oH;tCP)$1X$n|OQumByw{MhvbbA|~&Hg9$5doO#~N
z;OL^{CTyMUbHtMNWd>k6z2eTwy%^f^xt{eYP^Euz3sj9iE4L5SO3BX7%H<;fd6Z7A
zEK644=$D_rgF+z^#^;*K=8+q26YA!X8{SY_;Yji7J;&^+pK2}3cWwg;4TJ{Z;j|ng
zBKAbI8Wr_Nt38!%gz$hh()?$ban@23S6WR{%~MBJry3n*P#Ahy?3ZwM7e6IJNfZA)
zk~P$j5V;sWLZbmSkPT?VPilLb^s;kZx+Yda1yHZp;sU;Ew5bc8y4|Gc)GrZ??xLDZ
zb)axWpy$`1c#uw&h|1_x6HhLkYALreoGT=)dl8j@v&~-fW#OJ2bVtgYMQQsS!W0rE
zNc~HyHE>$lT1b>~_Dr7@#im@8E+%XM^|Nyge(JX5!UC?MY#wW)sQ(_u
zn{MGyWI~xQO>fE}PrNi$
zK|IoF=>k~F6qcr=-O{A&+DwgSc5NPy;#4k8KOh2Z8%Rtj^QGxUIpm3zCJb%Tq=_qut&wvRUajd~H|0fBeItrfxio!^P+^rO{M2u0
z`kB$DTSOE~@5cnAyJ#6{`USKdBux@g8EG={4%ZeO~(_A?xJO+>8a3m
zkTgj|Wu(c(lS`T`<>cH{oKsY3;&W5+#=r|!()4cJ<}
zsy=;ft6i%=Tpvq32Qe@m9vs7ccn};jOo!D6?QT3hJQ1jrzK}?yE!eB0n3PXTUzdFb)i*5
zGL}qCAB8~7Xjur6SKiC=R=$i7syCo+Eqfv|UJq53h>V5Qk8L{{!bF=hFHb%XJtnq*
zj6KW&&me$$0LCF8Gy>tINo{G2MS-B>;1tV{uBy^SG!X&6U$wA!s)TW{BS%w3H_
zMZsF8@H`pPB*M{3wWI)3`Uy=;?&XQ!D0XSeuGU#b`l4KmW
zxzVf*(%mvdj2;UA4u^j$;NMF4_uJ9m;XKAqf25;I
zuEGJ%&FPN;4-dGHf26Qxj(=}pjB48?b**s!g!s{zjyxyHj
zI6K%k1MlrIcoNh29au?n0nA30oVbdCch0G3-c3xyim_dthVvS=`V^d{*aTi+o=JXn
zWn&vcL^ikDk_%X}vks(cAM3!ED*RtEM*kX=eADY+o4|b^ioq%w0Cz);9791E0EqoS
z1K@Tln$IknotJO>Js2}Q!8BjSO5seiZ*yX(StE`ataYa+>Kit-T4Q1k%x0(rdvIx5
z#aIhJ77VcJz=}LhqV=y@hp&L%)AI#5!SLHI9)%BVojPa$j9*l9%x(ZLO%Y?%|1YDy
zTm7j6PW}U`*%s%B|C!|Vur{aSkf(Y}y*txW`;Q#3>8&sa?6p5hV!ltva}Nyh%vVdu
zdQlSN?LFZpv(V6Dit$(CCbO6>r6gEPW}uVKURx?3m0e$iy5Cxb4Hd
z%0{(hMoXB*yK4>E4dKNMO5qF;Kc#}FMeButFIB8`?g=z@&y$VxrnZr>3&_l-V~aI!
z({Ut!g+rPf^LAH_mTrSKg)U>zo(a(Q!JzFxGs2){2q44jY);->gZAZQ(2l0tw4Lcr
zw?0niO5yk@i+Y8JO;vP`w>ED^@0R#aJvv&scC;}vS{bdvsSI$1ZE4r5-8$IB@+Jv5
zt0Detz|oCnz1qg_&3a?Y=%!X%+C}pSA}M#tjfl^I??;LB1`8i#Xx>
zloMvt1fPk)jIgF&gO!$X!F3$LR!s1xoSk7RaXpFfx582CnwzzXHy}BoSG*12pTCX4
z5*Y|@gBpP*HDWW+K=^Aa+IN%sQ!&F6Oz@9bDVzzEDboAqoW|be_Kww-CkrBMED<5Pt;V`kbox
zomq&xEEN_aJgAm`@e%kAR1%09)}0yF=A%sf5+IKesf@Chhj)9%eCNNoGGt
zjYc-*;eg@NHs!&xk=_gE-lohBy}Wgqjwm?>2RAp?<&zyWciWjMoEbawK!CdscIJ7|
zjIc8qD#*H6&PkqYXRbOMZWYTMouVuyb+{Iw+kg$y8oSv~@N7&K$<4`S2+=_DEDo5^
zTKSgR{9swa>Ln>wXVYf8Dh5Ylx*o+!%eXk?+iU|*YmB40&nc}QoRb#6w~VB0&sz*g
zetpbvXl|W`8aZ>Ym|Jn!fpcq}iuT>OdSlG+1hsC(O5xNxiq2|PuCE0BTAJ
zdw=i{`fP<=3>{mou=l_Ra$fELgEric_)VP?Bh1bFjjC?#qYgCr2dEa|xwM#@g$D`>
zJe-c-{qH@zU;piG-o<8susej&
zm>7S}913Kr7|lRJ8Al
z=I_M}Pw>!pu~Ik>?M!iDLlosh6R~|Ir4^GTrFr?^gP~NHi?O>C8UX4Z#jVi2b#?qW
ze8?d+vBb~w%LzXU;x>vU{5B}xqYxTNXj6YBZn%nhO_JJTxNZ+-mv4^(zca&i5T8z7
z3I~7aX?6_PHE8z%yA5B{nu3tR0K4@tx80hyQ^IUjebs4$_T7oybm)cAYQENG<5a+_
zd$k&9vu==$^lsQTHfxHTenh>b<4K;5Lz^3ubsxoKRmP(qoC9+uxt^W4OQFnItWN=`
z`(UwdhGvAt$`C;Y%6d-jT#NOfvtd^PhQd#6F{y&sUUMrVx18kJq>FtIByA3Y&`A0A
z-F#q7!d@%I-fWt8FO9*Fn3`XVm6ma)&o}Q5y3j&fwCvdGL@pF^%Srn7a*G1-Z;Kfk
z&7iM?8aXqqm_ZQ*fivihRJ89#)rVt-Cn)zptQ1bU_)~Ka1VdHEh$6UDpN
z)9e^eN1^$FLEyuXKRUp4I>c={iB?J&P6sNJsc3GH9vU@qKmf2JFE;4yqJl4MC;g?=
zQnaerZwXXf`n%V}@fNbmXE#&QzKvDr;aIKtSn>o65v`lnUSPjKWy7S-{$Mh=~s
zFZvYjy*2qrsOpn_aYpY@01M`e6@kV1k-n5B$q@+S+*p5mSs2#stxRFe*nYbM%zd!^
zo{31~NBI~U$a>imF%oi<(;Bq>&=xrT$RjJrN03S$!tYsn5In?%-?lWasl!oy_$qCM
z=z5Z?k`aV$AgOW?g~HVt%N9kv?M07p``i?_g)GCR7ggKb$tx6?`br{-)YmmJSQ1u7
z2P-Y(Vv%njuHpIvwtu>9%ACFth%R2@onDlvLAMu;TR5cl;788nZ+$qgj2aG40`pR+
z6j-Nc9lkq^_Pk7)JPxNhfs=11_}oQHSX#;3pl#LAx&nXO
z?lqD~%4AY9aRj>FdaseC-0~bokjU%hl>{`I?RzaOG74XugIHW;^K)Uy@_|O-1QpF+
z4=lO3-koeWr9WH#mZK&K{SGvzvY?v}5L}*D<(pV3TtWwt4n7Udg;lEO@CtG;z3@6f
z%%8=Knuz&hLc1S3oS2B6J`*$YSnSf>3J`S(RthJoR7Do0g(*=`Q%UL&s~r>!m8x=*
zdjOpg0aes-kj@zZczgyP8YXyy)PDKpgd8Id`%L=97grmdx)fvaQ%CJt!KhWF_;jok
zPVkeM?RaLp4R#e=cz7<}PRJ(O3hdlATX0ScjW0N2=A3l1;c3aYm7D^-os~YsJg2?W
zhyC2BVe|R;a-xx2k|UV!W4r6;kdrH+?I7N}lz?!}W%yN9%24j8ICM)q#a0AY
z={Dw|RGI0J>7pdW+q(#Q5=O1C#{HGJ`$McUqzqWxAEbOdK~MOdxj*iJfid?7JhLmhi7ah~;m|m^3AP)L?X7Dg)gc_sB+i
z)7!?qK?tQ4{BqSt5ql0g9Z2#S9MjzR1a?z=0yq%oR!|CF#vO1MfZGRmz{AiC&bpY{
zhhc!0tRLV6&fN++RJa4Wt!@?4`?SU&FQ^Dbs_7?Fg33y6O@4+j3?x6{pa?~yGpudd
zzfD<^(Dzu1zCtU0xpEMTW3jT3*dbYdA_g^LCGjV$B#8|(gFk`Kz(xyU`Du5dYP@A6
z$USc{p!6QQ>vM1(r3aE-p+=59DeOcXcHk`d2P&Gs-iur!48;sjQ0qvn6izLEwgK73
zzDTehFgZOKGSyOx4WzN0yZ8}c+UlG*C7-agP&g^SoL~UNWE2DVEgHTHBqUvECx0bw
z1_|vd32QNfo&n(cc7gCaGlQT4(HRVt=T~Y9Kq(BM5A99S6}y@a`{PzLVRs^ePsoKjcJNowG}6?
zuAEe>cSa!8eakRdb|dxm6~}#$=udc(
zT9Op|ZAL9a6aK8KO?$7~emk&%;6IqhzXy60`}A=--$ogI2+H66_9qjpTBr-=v8}4scr4DXbZ*`lT@HK3LU1M&vQ8dLD@tnWirX&`=@e
zTlVLY#>evk)1VNWpv_VB)1L~{|I&MWXh>Pf$;s~#hJoa_927Bk8d^?C&WgBfjBb-W
zomSQwT~4_CO^VAxX1=-K3G;DBth9`)tNe|wO<9X@*a}PhMldZ)B);ITd
zRz@i%W9^*|?{P-^eiHD_zI6nzyJ!iMIynK_R-K=}0*18O(-LW!%{~)nE(fWl+>>2A
zA+gqT76I`$TlAXFWbN;tgG$BeiHz^Ffv_mQHenGJ&0p>XF3KmMIh6_Blt&o&_TD&F
z3YXL4FPW%z8`ZIkrYp?m6>>R3slIBJ&F$7WKZ`?3o9S!8;zg^cbS>Hfkp0FO{1Dln
zPXzMgk#7Vd9{Wu8$W{JZVumNk|0b*yPJT1jCik;3R$!)QcH0L8+h0#om!_K!1&>2j
zV99w%$Bz5D_uOd
z+tWA81TJX*1nj`3s^0Z;zm1~~H@lR+X?{?O+qc?EerXCC|Ew+M7tv=i*YaOF^`7jd
zo_86)7gU9{+f&tDuLT=KZ}6n|bhy8#v!NN?nFKb;dUy#FHSg(ZYEKJMaztnBhu+^Y
z{{AjA`|Iu1nVcZcVrRVC?p{6Fg7mjDFGthpd=(70vNZe_yEFV~1lw7WbQ{GMv+rVD
z;-@~cr};;Ayg4!)!b&!Ta~MpaG<%M}Cm+ptPjNIG_4ikRW((fTQy)1gS?Adv*lFV43?(-n2H8_rsD6HmBj#?RpnDNG^EY<~U@
z+yQ;q{QM#^6%Q$7NTAKKKX7M5?#AOe7l9jvU58Sm0K&>-2UANiKgv+$bjU8%YK~1;
zHq|TFH0swv^gA3kt5(jNgpEqLNBBZmLc)DvSIOPU{xv8CFZm8K=0Nf-FMn!L8hi_L
zTRU2a7GLLJ11)BMti1lNWfZHTCX6@sZKGt?ZDvsHbv9eRFkk
zth?d3wQIS`*Unr7c!+k|%V&ccjFs@M(M3?nu{DaH)Lp6Etx=gt0`?6omn|nj
zw3iUZfY-LKm^VSl}O46t%)O-
z&|1pX=7gCfi}dEEKM-4UtodSlQ4WzK#rBWFHJfG#kZ&M#2$r!hSE88*R$OPIKGN9S
z7=eI>R&xli&TG`z1$v$JazZ_X6+Y&W)rXu{@52928=I_m;P11?p5DH=cF5|=As0>J
z-$PEDJiE!?pVo$lizfM-(r-Co0
z>30pAIfV5Jb=wmVr${fV%`Nc6tWG1@LF$KhJapckm
zz3@69$!4F)0gKX*+TNb4R%zn0YL)OC?5e#_d#7pY;V2^R4?S8S8Qu4?g|NFNg^a%
z4f9`PWf?7h%D6p8sw1b2)s*sFuFNjM1n8QThbP~~eU-LFRqo!>!o77}=vGLIZru(l
zIhIuTDNeV-vQr4CWl6Qa(VibZu3Psd_}oRy=+*&fJ4m-mBxQ7~i6fV8wUk?)!vd*Y
zl~)q9m)U+kd;ht=?0qCw~yTXD~b;v8-@TtJ*-
zwHokK9B2EjhRsHMZgxe<g9>mU8<#h@Wz_s|0Ye
z*Thyf6H#V#>7M5+=cT4
zteK(8Y15d+1pQ@r>-EG~bs8?E7#pK}VjZhFZQa7;mbLYp#4OoAZ;oO|E-r5*ELz0{
zKShblLPU|63D^%E!VelPx}`u7n7ar#{UZjw|!?vkd8H8<-G3NLlg+s2eR|1}G%pwHh$SS}#3X4+(Q5?Yq
zd9^)_vRtcntAjK}iIWC!q0C6Vvr^i-c!M~IF1XJttqH8z;Q~KirJb63tf;w!ik_%!c@2an_A0rS4~%67gfs6oxek5t4bS=Fg3qZiQ58oYZr~IK3*A
z*!?Sn4>!1q{zSfsVs~%v;%KLcr;0k-DFWgo8(WTc9s^!TUlu6*&W?6g_Jt=p+DT8d
zbF}kVI9^^G9*0ayn;T=E`+tq}PlwvicxsK6IOe&Whd*lV4I+e1NSi;$37<{`I;i3|
z8kF$qRHK%`%SOT{2qnZkPuP`@m(@H^$H@+QFIe+TSbcZaY-&$eo9)T*PJMdK87;Uo
z7B1xMtdW@oAlc4HXU))%JqORw#PoVB&~2k@4<>4Z#BAOcr+GEX*b+SLYLsBdUyZlA
zwtAKvk?oX5;0f3iEy**nz3e&E9R(lJtYM^d(!Xh^K=pc{anl$2IL5r=@SX)7g{r=z
z@5a%{T3~S=%WTEXtfzF^+a}EJaOM=qOgQse7;YcJnQuX?v2f=3AUYJkyAEJNC6gOV
zJ#aB7Y;fwG4LZBh=}wQ;D?|8*j4OOp-ZGL`lec1@1Ib%>*J7$OG?gW3(>%~OgtRxM
zNSpnj=MTl8Nf@CwaPwMceHxqa*$AZglj6adLKTk~4JWOsiu2aSr|jjZjnRj??}$8;wZ?OQ&k{hzEe
zoSW(h1NU3(i>P-KwAr(Xazt^FS7V8_x-bKT0pqX4(=Z8xOLB*0txh=iq+!DEY_0xk7#Lft)6?v%
z)z{OKs?%+ajCMN1Y&{m7uz97ioKuZ*y~z^m_QTw*4hqv|j#uyR0?Me?N!aTBZljhV
z1@_fDcID%4b@l$YvV-1Bw$bX{q&lsXcYz3Ck>IztmxbZP8pHZc*L3&GF_u`*r-(}K
z!}hkpdj7lKad_AB--N2Z8P-_O|8rn*zMi+@X4cp92e^gYy{b<^&8+J0fI;_RRlogy
zfNH*~pEn{!%hb1V{>fe2Z{}F8iQ5AclMqW+tr(>!L1_Ax
z+pm=iTDAIEWpJo7UV}g(RKn6uovZGoR!H^)8iA#{JN|KA$ZQ;i1sh}8{Lzs_&|NtE
zb8^`Fuoz?syZ2zMw2W)aLVkw}!O@OB2jmzQO;)X0qdZbKLyq6!#HfLAzr%4*$>Ddv
zPbwE#OmjUqG~H^*fuv{2m}Hn=XtZa{`MMuW_#MtC_}oQR8$QprA`Jgvi!U^$I+xkRrT{kXjgbXS-5@-Y!mVZXJG?=t;CMa@!(ysuZF5V
z&0{Rs2dTI|gk3e3;)B#92}B9OK0C@6I5`a3S<{*IyURF^L_N2}fc&)%EB$#oR>I
zr7CtC(f)8{>E5$-{HV%E3be?Pn-RtCBy9!{yIDOa!#C5&M#7(#15{eyYsRww;4$@PL4Ge6
z8l)HGQ>c{S1))!-IWedgACATi~}axsRM6y1FFAXD7FlQolC{QOo5(#Z)S4`%x~7xf>^_B3UK1Vzf{z7L6@
zJMrhm;;y*T{JcyHrDE9XUB($tV%s;rpotN`wL7wHlz&il=u@tlajG?LWt%x~HHq1n-{|z=hgqJ3uz_JtE^5w}@H-$~_QiKNhPE@!7LB-`
z+2Z0YX|}|a+i+V(KG9h0X0C!c;`W$6M@~yYbV&G4~t2f
zy1Q%5ouz6ESE|VAq<(6YGGor?Vod3)oTEx9+SbTce6FxgZ)`RZl-jgOg{wGXFxBYP
z%DfXDXZq3tngUmH;*){bW(yDJ{#NVaV5_Ow684|tv|puOdpGmgr>LB4^saDWy|WSW
z>Rbqs(&fie*eAzK{pjf@oWRB9mAK(+&~~Po`Z5M0X%^B~Q_7*-%>pyRq8@}08iT`Y
z60_Ka*gNIe&G(WNGSDoR^Nm|BEnm
z46=vL_Kw5rj64HXb2uYU%UE2xv|@3y^kZXiwi#GBnCAbXrxUj;#j;KbTRSUbkM
zfixcEHRNBDvpLm+R+JvJn{KREpSBMh{A$xUVo_`h+JDX_>zm77JXh%)oakUY0=+6zvDbr8c98CZx=^NR)0*ngmfG|
zjXn7~ZfjoimM!vH3K|WIoLJju#ZXb1ud|Ywen71Yb_aEoM1C#d)Ob9=|N-f)!-p{pc
zSGJetj+kXTJJ=d*Mp-3OLGF~=Qt?{atF5|Dt=>*VpAYW2e(nHZ
z5
z>y#Z4N2rzfs3^tHHmR=m56CyAuEL0*rx3wMH0vafDhi
zrO1RQn@Dy4P<%uR^AYKOe@{Ll$)55N={5fT`XG`3V;~}(Y*^uOlv>T-6}99qn_|D<
zAD53}KbMbUAMp3&qnPZ;qF9ET%s=Vxu@9OFKyuP7y*S_`_kOf;2}`7AmnXydtk{KO
za#C{yWlucl8Gw2S@t|)LW67jufe6l(eWo-$QbRJ&+FPdc**Gf>x1dz(Rk}NYw$M^O
zb6M=zGpfxH4#!ngX}z3U2@#(Bnaqz^%WR}G&*Rd~Qf+==e5%o`
zjH|EXH%rG0Cv$SvRjXa9Pw@`#lFF-3tVId;d;l!&_@tYTHXu8{TE=Oy8{pM$&o;^h
zY!q+LR&j;)WLTMM2S=(np#X_rING~Rtc(Rqbq05GYZn#0oNv&5LMq+stL6dbjvGK`
zx;bw(|FZYy!dyg=(W>)MDIr=#pG+dBMypb>s5D`EL3?CZI*|C?@-oNtavoW7QPYK-
zH_ml6+BV}{|A5IC8|TvK?TK@_*iDLa#guzu5Bo-DU^nI?1e@E6Ma%BkPMmzp?7ed$
zZT?I!5ySVbj84f34-tJtLQ7uKmb|1bh95ycf;#Kw7dA1BixpSEycdNq$b)GVU(>8i
zgW;oSA+*UJevVpAM*uk+
z9wvy_hbPeJ&%1S{K_Q-u5J_PE(vie9xIl$UsJNX
z{;ko;qWBF&*Q|*mDv|&7JP^o%-b>Tzli8j%ebFNw%l92qeWV=p@gAqWWGP9AmICz`
z8NTGA)`WT{3dc{luhT+j#b0
zfBMCKy8b*W`8@T5;Q3GT;Tg=>qqtmNOj2Ai<<|S>ny`Lppu#Q!-eVG6jtrcZ&lrJy_K6u7$Hac96i)z(y_zd7KI
z5`Q-rcgY#>4?Nu189<+gJpX`v9o|0xjOu5V0
z{>jJ>(HzKC4YR=QIeixV-Ee2YEmQ6!C?NrHx;h0HG(15SIDcUdwHh5<=9t$m3fm)a
z5(&3jPo($ST>K{I#5K%sv2%hx4SP=PbK1-_C+=VvlZy_b6`q5(GtCK&sGd3D;wfoP
z#FV>+=0v~j5zUc-n!%iLAxob#SEZ07r{=hdqvFQB%X<;=YXdj)gq*1w&eY%qv-HCS
z)w#LGq&~ITx$`GOi2b#>*icTDALlX0P8Ir;YpSeDyFLBqofeb1-%uWJWeAgt4l+^R
zfwnVE6pf~yiQ-}@X`;lGD`sYhXjWvegDK$lnLY(xnS$(|Dd25VouYA82A7oFWJ1By
zjN1cNaM7XdA^LVM=9GJgzD1Q%V!g&W8Z6W5ow-Rk;h`oYLC~ht(2i6{K$K=?piPfd
z+q0369>-P+H$Av(pf(~#8mJlY*7x(Ei#LhXHGotU9cL1YmjWK2VGrCe=`Ttzr}hUC4u?#7
zb#9KdG1X5Swa?CsT7%%XQ>E+#zfq(>>0@;6Lii0+JAehS>VfX8KcOrLk;XW?UtPK+;@Pw3
zzj(1Yd%?lQ*^BVUxO$?y7V-KfPTpHQhytJPS|?t0&vo)w49Vhb=Ht$Jq}^8ywogrW
zS)p^l(r%GRorofn681D@WTqgAJ9VQx!f5
zcEg^rU{|@)nmUB6vqR`{so6Fwe|!2T)t6<;zmsh_-xd1Dk0rOYtgH&7Yo*|mlhU}+a&(#-;7VbWFUX%Crs{FGqQg#u!-X8JYjE>sEoL6MVj
z$tSF*E2~x9s`6y}jZX4UH1(vdnQUTp3##8@@3D&8B2$ZD%423pds%Y>%axZqtdPyb
zdW}=dVW4;ui@Ng77G*~K2{`m6x`XbK!AxVl{Q?Q*$h=1Otvo~9A)GF!urH2KoE_Mv
z`Z+z6er>7<8R6Tgu^yYMyDkD+sF~=6P44%l0F%kAiiM|Nvnoh3s}w;ZgX&iSyseu^
zHQWz-$KseCgK7cw1~sUtZxV)NP#r^#WC?tqBx0%sbxyAZB{m0TwvWCjyHc9MwvWy*
z>?5;b+xqziwISGYjVR^VHh=DPVoQ^Jw$0bjR-d-b-=b=M+vX2ZOV~EVBEq&&!zA{U
zmdml`86u=l_$o#J?(;z$6&TjagUmG?v+Z2eu#N{e%0*g6E9|&&PEhjdHaPT`JrN
zW-^oT8Ms+XkxWRM`tQy)bQyPi7b+!e`k_yzqP1*ENl>f&}l0UI7afH_A^r1Ny;9=
z@KZ*=+ns*@x}Sdk5|wHhs>&Pq)vp^13NvB{@4hEgwf)zxiJi~h%=~*7)BJCaP)MdgzcrqDioGfq1IwJfS5T!CE6NC>Tys~mgR>NbuR-N+lJJmwpJ&AJJJqS6
zHCvjmj0Kfis}kH)!rwZoGEf_O$Vdbo1QgtDn+IK-iL{u3wE4Ufb5h#XOfO`KaHXU_m0nKep%EH$QQt3w
z-j4+sgyD}tT$n1)3$ls~s->N#YD}UR+lHPzH2N;Wg8zYmiLf9)^@Ii4FC{a*{9}@V
zOXXz;cslB0SCoOv4}4u{L};8Q1Z|&QOo(gIQh#Hvvf1mjB1WEFUn98
z%YL6T?^L6i<%nEf43wHYmo0KR=G1aHH9m4lUHK-B8MzE}2i<#*k;f3^A6D>kuO3aD
z`!7pEScH%8I%=#pczLqHIBd>CJX`NosdUE!dlF~(
zWWKPyU>l&E445|Q(G8fMd0VM@n2(oLYmz9?8T(C3yYLsOJveP-vx-M;RxrZ~5~kw;
zeFiT2jZu!J#wf|o(P7F99HC%n6&*rbb9;NSL|D2TcvT=Oy!worOM6=zYOwP6y)@1k
zto&WwNcUyO&h*g8J|^+XKi4>jGg!Rw%CDiSPfV(y9hMw4Ex*jgmoi@YulM4CPQE8cn
zeTFP2oHqUBks3}bRp(;<~NWI2hpO?T9#^qWJLa>bxRmI6`PLzWBuj8t|qNXYWR
ze)@eCD*2?piQ%w=!UKdXb79yQvi$jeMymO}Cnn>vds0j$rd+lVq_%Cdhb-N`l9iOO
zen-L^QYeXXDrC8ri$4BBmVc0o?o!VEJ`Xll&e5k_axQYOqrEs^`eROu$)bzMA*I|m
z8N%eEgUrFdMBAC9oJLbLJ>IbX1lWA|Z+0~Y3S4w0&6AjNgG3#p*)vEhFkM}^(&yBt
zQz+9jr@T$7*yWxKt;(ns*(WK>aTUAV$VJohz;vuqx@h!ojb|oyaf3ZKlG&4xAY+%8
zP^A=e%7|TFni4QHlO4cpS&Qp|WUc|`xH`{xIrz8(HGHa*@FK}bco{Moa|R#p&NDnk
z&bz2mc5+72F~(p_5SX>ha19^@V}g%~w#Y1#%FFFc{YrW{MSVhJF6#TGhzve%z}tvrd{oYHfOnl*VcW<^4L-h?
zVA@UlB;Ti@#S3uPwE?12!}q8Ckey;!rzj#jrA864J&au4#YUSXv-PPfEn6>7#C14A~2f$
z90+?xT;u?1i?)0L((}=l&w#br*0R4gp=$mB=@U^)xY&p@2RIPpxMODGAD{A|Sx84>
zT#IrtYru5##ldh<3d2D6xl687PC~
zJ18d&lHa9A*Q|OGXQSy%H0-Lw>E?9bdGZdsLZe<=2#z$GhsD-n;fux%rBszKSI5!l
z&1$JWL-!_>aLq`&(r%V!E9GXR9_6|ngPyg_4u43v7zzJXqC`zHo0lC+jm*^JL7TFS
zGKkr4I^EXPbUI~7MLBhsrkHO!*UNI}DPR?vJx;XlWv&XAO%64??x~|+l;C{1)%cGWQyHoTzn~0>~8IU
zEI0Qv7JG?jN*pzGnPL}lTey*6WaD+|jl=GflXxxBVvHc|u^7(;
z&yGHs(GAP`#fl52tCe=v&2TixhnzNTq3@DMW}v*EVN5P+`u_6f*?kyon;9qz^qceS
zpN8*RCiEEs68QqDaU
zl@jC}eaa>0qD+#6w2>>E7X1)PDYuOwOfEXe9J~^3XOeOnO+C}Y#ZuDrh$%NnVw_$s
z4tg|*3s?G7Iwyr7JyXfsq)M-QeTE4t^Rmb+N%1eJ^tu;|xjd|+LGH`Nz|x93N|jQq
zC?jyXCn>!y(d!X=I>?~SL<}})OYmiM^WcpWwI0mCWRe{Sze8q+oN0RR$um4m0f
z%FY&%aE-Ay6XfkDGs8825RFOGOEhIZ#-vJ?qC)Qx9}QNz>EO+o#w2kKU@f!-(Fhww5D$dk!#cvS7C8?FCLPhjHVhx73wy
z4w=#0vvdc?%-^i2FsyS!cIY9+`3SS*&P7NGub{>}(c1`kCwi+tXwA#f+Z$4V%M`th
zg>UH{bm2_^KG7E!0oCJ+djjh9>x)xqbksNL6FNcUSVhJ(O=Xzt3`xvm8odoA5Xu#3
z*%JdFBhsPP`-|QlaR9SrSH9?N3vGElH_69{ybM+IM{g^rB^+eLc#os#t;?gt9zJCt
zY&6&qC@0x^h92GMZ6_&uTW_>|5!`1DC4zg5de^c${8_@uNca|s8a3H$o^~9&$25xT
z@_|9rrHkUKPSc~fs$_f=R{^WgoGFUyG&$5L?kBu-<u1sBYw#MR6S*9iu4jpJ+tH
zS!muU?iWzirwCLiQ$}(BfQv6>6!-7@AItygXDs#-&y+Z7=rW2Maa;H~f^pfSxGt|H
zT8
z`MoDh<+6KHm@1~+l0|XdzLGVS@(W*`LP?ZUQQRF|^zj$PeIys%rJVZ&4;D1-Jr#;R
z<&twzpdlfu@TX3T$)bzMA*I|OGla=S2bqIkLED+6oJLd6^l-71G(BR<9T!nt7q0ZF
z^sy9z^h_mhlPZe4JwvN9Y)58Eil0G6anI+XLpvm8{U&=#By%MpK}K=UrAjGQlo7?f
zJ}HXp^?t-ga);5B_Dgh!(Hi_3<9Tq%5#7sB!>5G_*OD~|*F$EFoDtn;<{6%1k*8Co
z>?{%q+8En2LH3q1!!>|FjfvwBD!oadLp{?UBpZmF)$I)<)@yQDLb+9M08a+0pMMsR_r!1QX{%=Czv>*
z`wk5qKlMO2oQUqz>(zF(RC`(jmuR)CNNLHjAJ?rrNJQ6dYdIpi9|ML>7R(mW{ghM7
zVchtLE_LObLuN$xH*^QxpB!vIZdDL>N)b10Uv5u%mny@G@P1hjG0uOOCBhpaDg0Av
zEGEL+3%rc*_I%LVm?OO3P5~}cgf|wxej~iaq-*Y7f<@Qe{|yF_=&y@_>+#op5cT@?
z*QrP^^$qKRBfZBV2eaq!*Cdf+J%{GGDd+TFAYtBCUxZ<>Ru+kFVTfMAG&^P77BiN0
z(LG})HgfTG=sPFOhQs$6H`azvrZxoos{7$>rai~$#Fk3=VzpTk
z8*D>vk1gX0I#$uRrB~``zLjp@e2EnI9Sh@yeVs|Ji5;|aomM-j&dt{BZ*+KzK>BFlo~q>P%P2T}iL=GmEji9jI(DG~RUzFM8(tsZqU2_If9omcwf3uJ
zmqJ*|Uz+f&;3vFP&ln4Sfo`PxhU3giQ&?x4$lBn$nkP1+%?_!WACOb3uS)M4AIJwM
z>f7i%qA?L?%z1;sEmZYs8WjMEt6Audmq8iN!VX_Bc%
zr{323qTlM8;lf`gNJqkVOMsOONf+G5?IdLaJRA|=1Gp7)^ks`L#?hd3U^wJhx}&vl
zN2yuDWk!{zzD(DArP0UY?-O}&r+jH2qe|=LJh~N=HYR9oxLcpWf}%&02)p7oHbsI>
zn*x3!!v>~Iy;`4PmT8xoGvG4GNP>5Y;a3f`C^;l8;#jHl#ayG5ahpFvrG)r2eKMT|
zmK87Q^c@pM_o7T=?CPRIUlE&Tf8+G-<#!e1`70hxa#7QA&l}19TeNM)c-}?7Ig%|`
ze=3r#QQ8yZaWR?{>4Z@M|b16us^^0_)(;P}!C#VR^
zM>4c39jQumC{gGISvgXbz}Hhc#*z9TfT8Pgq|$fcs@%L8PkekJKlQjO+2YINNL8zI
zfTz7X_PA0Vsk;a!cBJms(D73bbVG5Zp5^L#d6M<_j96k{D|0!
z@|f)5Gl6ar%*%4J^>e8+7%qzWv$=3z=+tsVWV{QPy7J9l(}lZFchEgvDLC*Mi!D9I
zII};C4>!V6*rdjKe7KsIpc)b;n3nNu+Po|UrcAEeSg`ta-R3^&nx>EKU?UA84_J&q
z>scV&hI;)j5R~JV`j)GMUR7J2#n!@r8Qe5-bweN8Jf{5Y!S_Yc1vwS;j=96G>>*TghO^32P;>OPF3c~wae~eTCbO?HSI%oPruGzQS(>$
zWrAcR{E`Gn%>|pq;zskVxY2l#pzK#A1YjU))nQl6bOQF@0{~$p{sTR+3Cm9jMq(%+
z9^?e<;MN=NYE~+~IQv<8Qj2r1MGeP`8eMxLRDs7N>rRLkise$fG#1n!Nn$XnSX{VX9VYwKnV-3wEK0sY9*m%pr_#s=OOr^ECHC3Ho*et2M`EZ%g+8djvLgTW~xGbbtflQ^@
zflauJHT3R?46Rx{Pfh_cw`l+P{Q+HbmAerp8SXeCg_x`1t0D^aIm-;H|
zj6Z~yM?HEEt5*E5k#UO`8D4+-4XEnV%#J_(IxcR5eX=1Qfaa24>
zmr=tr-q>S&)IUZa^*)`CdSCYUd
zTY7Ps3=nG__UqMKA0=eQnDS8;=H-}rwl~CZ=0yDX<)l;X0eWBxs`~VbD`F8}BAIVGQ@VBYPdAF_vi$vIuIpt!=
z`9fdH1E|Uu`XW_YFP%aO`9k4pBVR_O&=kEJ#P^S3X-RICpjc`)OACi;)x&U4wq{H7
zaH!VD=0-;;tLQG|oz(*_C)kR3Lo-`2N4aTWFJ{V0c^u`zwA^4&Z53!kD3(}NBw=^z
zxRr=9qVXO7*DF)_S!ym&17PoRXQ~2z=JchRPNUN*h(@TlMrRUr$M{O4R)f6l)#(M1
z;e?hLwjhDo0A#;j8nK61x4-2we2VHap8kxAt0ySUhnZ&Nc
zHQVggy~0vuMy*68ukJjlS(z4hRW0Vtj9Q1b&CDoUZEB4;5(<>rLqBmWP(!9id#LC4
zGgR42${`=!)jWw*-}0B;{g!^Z-;@K>;Rp)nIO}5@iuaG{pr}UMdq~4A{R}l5rrCch
zZO0XLhr-Y6r{CwIQdVZpi(*=!_Ko5dV+zA~vUzE~pMhpWaCgO=?sm@U_GSHa`;sNZ
z?<>%DzxWN`_9Qr3#VVvHx$@2Zj8q^PE32O7=!+@CQD$}U*aHu_BC5CC{sLI&e>5_J
zsX`;`dGJ4oQBh`TstAo}a#^x-M=X3s!oOv+!>{w@H8OwAMZNZA_kI=J3UK%&Vz$+L
z$V_aH1qki(Iwi6%J9CqjCK;B}#Ke7;V(~(|9!j;DMichfT+o79HZ_Y?P~#pHZ#N2)
z%??7rSV>M*#)II7%5(|#-_Bs`mRMsg3a-hC9=*_v#AeW^bIo^Yv^~O-4Rg6y1JWmx
z6sbnrDJH^{0JdM+5dWFegP(}<*rG2p#K}c1H%Cr$;_GNTlPnf!%VD_vb3a3sy`&j#
z>lAA$oJTKge6QMWQ#2WgWTQ%auRx`xvMtu2?Hu@yQ%f$FCaI;Ea(A;%T7p@uvEE&>
zF5m!gN0crqKbbOhi0auz<^FS^)~$GQP@HTuYL2LU`gB0jeT;oJ?vj<3(XH8LwSJgC
z&o0a(O&!~j`7*Bvb^NatQHiKSPzh3{8mN+Yb;&
zmJr|f=fiiL5O=vUNr=ak`~H7d`J!iG_rEO)paflxNLPYaq)df;O0fG7h>-{nvv4H0q4ceG(Xue_n
z^1)ovMCzAcVHC#d7y2|@{qlQGi^)pEFj{|yAxthhh<^Efw4F)62sGu;FW>BEsIr%#
z>6d@%2Z+C4LVSNWAHL)Ci_4Ws`X#1ZN$Qs+oWXiVc9)?u$V_*X=`!<|Q^=cBX8whh
z{N|IJV%0ELDdTVeiodCNaBIF+74p(uGLU^=DV1TP^U`6iS{C8ptSbhr0SdPD9}LU-
zw??hj>fV&U;^nq9O%`ZG0V$m?Mx}%}9DN$Dbl&Z>=!a0c6m~L%$wdc|&ex*tOww7P
zDTj1^PCrAHy$nq{Pxk}F)Dq%*HXpv@q_fMFNzyr{+$SyT|8XcMBH91A9||;!OQCel
zazP4f=F=?uDOFac<(dg10n)QtQ`o}RbevOr>0mta9BrcW_L_}q8GfdAW4=*q%y5ne
zxqU>^;kZc1&>x|Vv=gZ?xey#ZR1Gc*>iGMa_;X~o0$&vUqT~$(5a4lYQX*8DK9fs|
zT2`Qz$ek2aHz9pPC#i_;4DS@e^T-xK*2)oNL(Nyp1x}_qfE|2jadbS`8$7pE>r{B_
zFX_r=sY=HPRyiq(d{)$>T!R!EopuYUS>iPcPvVfKa_nM4r!~u^g#N8rmlqOm%O#kk
zs(K4kAM?F8`aqv@sVXx+M1pF*vZ4Ku(|WQlG8Pr@XK0g)4x+X`jJ7kWErBvyZLK2y
zRtAOmVGsAS{R~(3l%~4Yh>4}TS3hk4zSa)_Us*zYe`64QdsB4&rJtc@#B~(dksKbq
zu<^b63VZe>Gp)hjC!*3)MS9kv?Hv3aXC}B3A<0aLDR=7-<$RP+(j98EP@g@JpVVE2
z<5p)EA6nGgs?XXt>P95Q10kncuOm=dM33cSij7n{1|}rkOYIglAH9mH5nhIt
zH2fz^_@Np#)GP5LYK&pMc1Wp1N^gGmijTHyQzcMD6kj?i|txZXKer5P{eo
zYO|?0dxE68vQ{+W)~PoUXpFtekg#{-aO@&2UAseSFa~4k#_~_6D8wFP+1sSLAm}eM
zB+$s?>nNo=WjlpBzV7oGT75r~zkvvq$*wj#%$|geE1k(^b;=Zct8eFh(^B!tUz#rA
z&lAIpgm25mH$N*XMF6M-`-|Z~36;#+f0xW(i*kC{4+XQC&a-G%CpnB9+*YbrDo0?+
z--BRsU4)Zwqr*>wtyf=t^?2bf*xzEwPzzvtm&iz`05u!t%I}YNrC_pJ=Nxl{uyOxT
zX=;}2^dqy4Rt34~w4tI|nMc|<&iAGzMNm3gZEY&msxx%}VmrjfgBz(j)e^^P(gEKE
zSx2O%lPgUuN948)na(s>qU8hb1HoDbO9!Mb%~q;Sge@A)GT>`h3S!y9Lm&`nJTuJ-
zzED~8L7QSk_B?eM%wzX^b*h6^Sa1)mRK#*)_U!+`?^5A6njXI*IQ_kOrU&ngk~>Z=
zG3Kc`H@a`Rp@Z~|8L$N$ugwmhBrm+S%o4QVWoK=h3NdG~MxG*O#ugtevS%xW3tP1+
zcxon4?%E53W~T<;7x{EZy6Ax2iK)b7nX1%kn0yWJHIh1NwZdctX&)8N%3!9(evP_f
zukPE10pep1{HzP)V-LJ_C}2iZ`b|NlkM>KY%aW+{ZzOv-BSvnl5}7S!-p>XK1en(~
zPz1R#?sh89h^Y(G6^bg=3|^CFrQK=rk-ZJNA0Fr2AT@@zpj7KYi>NUN4w&oA!KKlH
zJj6yB;e!zSv*56JI(FHRV4$5XaBE1AKyyAbEO+q1oWSH4Y*kdsOh)XZq!_%}G4=`!|uir<0o_Csr#cZreh7
zp;UunC}RU3eIHd*mlCQt?u`B
z_n^BSvmkS~SlZak)Ib&&ZQjE6tT|#T${0gNF1ZMawX|O9{s@gIqW_l#{lC;N{V%ua
z-|tlum$E0)J9V3&V$>?I&Jt13qW2w4x9$I9^rJsiuZGj6^gNz{ufDM93ML<``rjRp)+%M-^GMb1aw=|Bai>VMa$(MiP3;HpMZ^K
zro$hrz|-5+cCB&<8!-_~fnYY5gHLeDs~pg$*<_Cp#eRhmrx(9t^c*TJK;ww|it(tq
z@Y`#7_3FayU2~fz^-i>Wsssn~@dG_Oq0={UuWBPFUGzf>dLHi8xrQt6)!jjr
zwAjFc-@53b`=olAH#u9ot_2W!$s9hN+JGD_#_Srw3|uSQaKODiGq`4~CFl0ssPjw?
z>02F`0DbSiT(?mCsAKokR-E>eIno?+_ySbRzEM_f?(KWT*eYvtR<;rMY;V19IY!GH
zZ2KK*&qmdZBXu{LzHV7YntAuAI|{II&lXR&OlDDbEkxPP7_Vu@%wB}^Tra_&4fr#9
zaFLvo(v3(0CX*Xc3nA)YyF_SOC(^5^M62>DdIzHp6;}39B>rHU*)@w|>Yb!*)WwQ9
z%y3r$78%V>ajNjA>4{Gj=BJ)hh1qD87h}x!YfNv9HZ982VsUOPl7=heF$VQ{u|>vJ
z69X94(auB?{kCEKb)udytfOMKNcpBDu%ehP2{Rhkf2JEzcJIw5!-QYL_dbp5)1`5(
zG36N8d%>h%mffcs*iUC0bQqh@l>Q%Li<&OsztVU{!tZIU#vK!E@;~8(PE?Y9!>6J0
zKSwxO5+kQ@C15me0I~VT0ZyGxvz97pFnf#~d)q2AZe-k?OLd9EdvhZoR_&@9m28il
zpBYqB+2=KIYzQ(b!lz~i%pveiAn;RA*_>n^(NAc1C8|rI4^vo3lZHB2C80~}M2ddJ
za7vKa0^IHHO;|Xi4>fb6o*_8wn#FJv0O|TgKNS(8e;+-u=;x=U5&aj<^<1$QBlDje
zFY|Fs#+uvPizTAz-M~Q(4@yXuN3WPyZ^^uHEuzDcii#}uJk2QIXLTb=#N1|bML31;
zeaiQBQohfTtzvpkZUJg4vfos}ehCS7oyA8!Z+IUO+o*};yGOK=xd?zZKtnZP!gj-jbxnj_ky41nzBy?$=NU5v1N=QWIQb-zhZEOq&5iKK3Q0I6FaK(UYQxN<&m$KXNJd-
zuXloqTTt0#a*uo^+`3}R6?nFMr4F7dp-byT%2&lzY9iZG((O*lS2ckm%46c%HH+bm
z03=1eQV}6v57QINSAJR=`MLqQ14#JD5FQ*!uxzP*|8f@B3yTJb`>g=s%ZX@s3sEb}
zXxYIg#w+Q2qTtAA_bzbdi)G)bBKK+%xhltl
z6S_D)?g>gqprtYW{lXA=0
zdd|_1rqQ+^GT`IDi78}VxOXsj{KZ~|cNCu+n11S4dqJEFAzaC?kx?U8~
zT8CBr4fJ_XRezmsM5+2iCWD06;Cr8{UL^zZ=p0S|d@$s0*>y%ukNZO@n{xn7-&YG7
z=ixzucO*QZF_u%)zW|l@M`K0g-{T2t%g
z4M*hD^e=N@iq-UPp?JL)tLcBnX+NW;|0z^kB2DiOCRWqCh2lrtqv=1e9HY&y>D^I~
z7IzN@k1OM9dbfj!6{yp?qv@%GsziEPCsNZZnUqV@
zE8!i<4d@LU4aJa|*01TQh|u(ZM^C)4=cgso^mJqJ0Gghv52EQs{T@w!A}#|}nx2bj
zt;3pr6@4C5)1ROl>E6417X>2?1Ut|U>0KR*bj^{;nBl*H?gLsFj55c?uG}qofK&FuCaRQdFT{n)uA?f%_OU4oF`=>>GXpk=X^=fsc70}eh!2enlrpHe
z2bE2p_egxgtt&|V5}!KQD4|R1L`rABPLG$
zc<*w57*%}|#km*!9bDXod_^+`YWb3k@22BId!&D8KQTD8tC{sB1*|*gSIqNU0(ss6
z`K$ed{3U_0tQYM5jlU<~1-r5*>w?{tnC5C!{A@GM_x!!>M<#%Er+xZ8^8yH4Wth4x
z13#T&N~JhLt(67T!1Ql>aHj+3$uh?~D^5mLm}6Oqw%*^9k7%+di)i8^WVKd^xfS^`
ze}8?DO@J{F*-m%VM;zq}Q5i)%^Oa4%8~mfBgcOT8$$LIZxho^#b*P$yes}tN^3hNB
zWYdpsXHer4HPT;6IODck)eQ`X+e5s0a8|A49*nEyNMs@r;PZiB%;Twp-M#6`@d}fMewV-(|lb1*J
zI$7B|isP+f1RQVIOKAcB#6+wO?qJWloV$CnFf;X
zpojwg#G_lIMj7sp4+QrqCaI&AyY~B3DAy@2QE;vzrit2PNIyRiq^p?$qb70bAaUek
zDr|&7Fs*{@#G~7yMi{Pd4Fs3Ol$Z@s%L;??eJYeEO-#s%qyUXwM0{^BSj|al!fL%w
zh4rbv`K`czN|FeO`ep2&w997zI^wTq-o>-i@m2T6H6{yoU(5+DN
zI4m55rMO+nL`gV4VZ=BWM;O33I!hjIG%+DfViKm!nGS9|Z;uDXeYl=#vQldtkxO}6
zr#t;cDC_+Mm@jZpXv@G%b91B9L?-D+{j&7)%uPRR8M%JT1mB_`J!5!p*qOooCiYN0t{jM1qc2ND6n*-aVEk=44bWd3|=y`Z^2^Un6&(2
z`e_@5J4#L904GHu*+_U+%~yIjtl!?0i18S0qyjr{pi1jQsh4P#{Mp`9L00#?D*CUq
z-N%Y5D2g?kzQ0zy71ty-*dA1>j%F}C&N!P5$Fk8(ZeiHs__$IlAQMl{y6~$8EXw^U
zQ4?#&d?*)IMHpINJRaZC4!$
zf0v<5E;>M%EPNDgo0*h933D*~EM_7f{Y2C8VX-jLsOrg$bTNfl8hd?rOu4;xfdvNR
z7LDKT5E=urT`1G!z)1Ms6!H)f<=v<6=A!;N^>59fI9+StJW6OK1Zb?Y==gXX+WE;P
zT6)GcOXX^ZPrAeDbL9?BL@Yrw(gCs1ZR5dhxCXj9kA0$4PFx((s+5|zJG#tgA{O*U
zQZZ?pC0r=oD%HjdxCMo#sb~wTsotn>ioAKn=y5k+8aIkC6OOK(uGVoDELE(OXP{uk
z@r-o%Y)dQ*=IG8;hyZG?T$#cNezcJ_cJ6yZ3M+Qob2NF15Dny<{|}}Cn6!7!)2Cc>
zel?RpO?mlCb0kaavva{HXZ)F{QMQmvy$@o%pW(`$
zdJ_oj&d*Po4T=t_b9pLQlO32)(dGRw9`qdK?@SLg%
z(-W&bGDP^U8AKoGnc5wwnHYSe>-8V9qVVgK9D4or^HQ%n7e#H|wR?Wo?rI%6v)W!5
zFWfy_#Xh&&aB+F#Nb7JlnBP=KY=922#nJHNg&Qii5#I5_-hgZ2cxpZzcOLPD
z1z6W82>ox~*)$zApwXeNj%OvF)Q|{hlIGZ(Ly2la7w?HDGZTs3AO*<;q8(h
z)1cVyVBv#RM-xuKL$&H*JY!)cQs0zso!3!V>WH_rZlU1jCSLW>Y!^a_mBO(hA-ZftZu{^$}P^qFxoTV>Z
zCj=;|glfHv1I=+bJ;U6^$Xl`gm{?u!ocQd9gWHIt&*M
zE>QqdX<$^YAlCD0g-3vCCl5~MpVkHC!k@r}54BLPPV-^BxQ79klh8WR(qQV=L9GFI
zGPQ269HG78v|NSDHrP781A39|nxgGO(hhSe(DZLTZCIY2vB%a)$x6XkQl5rN2|A8G
z<WBZgAT4!zgv!#SCL|(Lr?FDB8}X;{>8|=(ub98LI3hO~;vcI4Y-W
zG&v%Zn)%|6egL^`32}bsAUI#mGEg&__+>NMY(E3ei22k^w}pN>zh?=tecvG1_F8eT
z?`NnP@f;a#DOTJ&`T^qSmJr|X%!ltdD~@nvO5P+ZuBV(njdTB3U`H&ERiNVkxhw;n
z;BgGC0|mI9xR7imnB|ex#kK;n7m}?7vjWm2R0WUKFfkFWe9<&46>(p&V>t*T0bDV?
zJS2`3%ChwcTl^7c7T8X#Oqm>?b(%=FA;=_>&MNAcO`=V?SlU2R&WfpH&6pYTje$mc
z-!Ytu2JVh27^#%V#C6{phz_3oA^(iX$R(?;wUtZ0IdN{Xd^CvYD>WP(KY5^0Fpdib
z!16^ZY#DL9aUkeMJUYdI*;_1iB$+sQ_dw%tIXPTO%?ZJdEROfBj5a@aGa~j`0|E3@
zb}%HY*bU73%cY|BG+T|UwMrqkLKIUBij$2-&50x3
z9o?lXFVIAC2YWDuOE9WF9-u5PC)E3XiT80sZvhTP&f;KiVwAp!ujDA5!vPs(aylMq
zG!Lt*G)3S^oUc%TqmxoRg5sX7TSoPzz?`m(B$W70(O`i#PRW~Hbpofa)7BhrW{nPY
zD4=l}7TXz6TglAtI0emJXvzf?p~Vp}AJGgEx82rEaWq_mzlKT)u0i@_E>Kf5%vKTA
zl^_&9?3wrnPK$o_la9eh8N%eEgE$8N2yJI_3<@;ma18!cKSPzhq&WsNyG_2=4-o&n
zg!ul~eE5!Yo48z=7^(QXzxI9qGO(ImpzJwz|1-AXsmeR>v@=nK9m>
zHk*pG6l(4t2t%hkW{ok*o=-85W?p|>g33yqV@Y{Gl!!i4CSe7@#*&u!N$UhEHT31i
zf)}S^xe>k&V@O(SbkKlzk&v*~c#-Z{EeJ02H50xaFgPoX@E7Qvcad?KBu17+#s|=v
z4+Ijb)*{2p65%Sb-QeL2d2jN%McP%80;o8|a3uUGE}Fg-X6>DocBe^)?uvad`nN56
zenS%@i!m;*pZzteq?g@*JZ2M&v55XEHXl){-KI^>*>Jq`UHI^#L<_mr66+XQ6N?z6
zWK?D<&G7=|O{f%-gtDAX&gmtQASNlvsuh{_49
z!k~)(gWbD>EkUJ*RKVte>ZYv+v0Xm6lef&H1!04P=dL!qM}>_WMGqS{D&(&bFCxLi
zTK#jmaDNW^08f8LSCX?wWUsy^cRqp6QMyKycPO|qGo%B!HFV#ZTpO1HBwo&ly)!mu>0^oy2xC1d!iZh{
zI;VOvVFnql(S42)r_X_l7&FN*llda&05MapIpFO*e7~@C)X@x@P3eH6w_ahGzpHPj
z4dO~2%3qoWVU6%V5{8+{KtuXjbbv}do!@!|*d(&4Uwem}f=bGM5*y{F;Et^{dCNQP
z31FWrCeIX|;wUmf5uFh!rv+nsJhr&kr)Zx%HoVh0Jf(o|G9ypNRAX+wK`n8rYO6}6
z=(#Z&R;Jo5kx&UnJg#7h$Z)S9!_hosFpufjVUWY5!TuBB$+}D75?Inl4QN~jbJ)7r
zfwC2*SPlCcD@{rnj=T(i`+u+@cFjb5_iDj+
zuj-fYu1?^)?$Nuz2G2w?^}?oo_d+c$1eF#7Fr_xMBOO*jT%zZAJYP1ZkzREJrB)>{
zXsbE{7NO*6E;k+=*d~v8pd&AC90~-Hb{V@!ym(=dkzR8KYSHF&^JxNpRN?M0kj+W+lSBTig
zLDLEPPpdteT2PC;Z(XXuF~w1R*N?=;pAm{i!mlJ^D&{N*b8LI9v4v@;c66_nV-OQP
zD3X2{h14*82$A9va)Gn<3S!WaO>$MgEpbC6SJtT(BDOK!VPOB@U?tb={=QQ=)9j`m
zd3Ilx12qQtxvIsCFf&g-4VC|vf%T6|y8QlHBO_Y0TSrfHwyoDF1WgLAKU7DiV12|^wKt0}qS&WIW;gD!F^`_UzZJoU(I
zaA7(kqW-#BN`r3hcrp|HMpQnVLGzEoL-gdn!Z|F2!aDw__+P@bCT%haOdKW+(yYv5ae#CAaMCNC$3ja3ad7HnrG2D=G#pYkY9ZDl
zE5D>Rbt9Jseh}26V^XnQAL6OnYM1I$6>RzE#Yk(ufenCY5=#guENZ=A1o6a~Eb<`L
ziHT{@h+WLZTBTmRVRSUuZ2Z1+bX0`C0e^v4mpGtBfEZn$qUJji_(%7!Y?5^w+K$Ug#cXJqD(T}|hZ!kNU528_Pe
zfNu%j1^BMW#U$=tDtAh?O|;Xu5LJ#2ZG_|#r!?LTR|O(lI1xh$BbJwHuW&)^)0UZx
zXu5?nt#G1TxiVi7l2LXir6YMb>@z3DSZ3o$GI8paxHbk+JMyjs5NdT=
zePdm1gy#@uQ#nfI2HZe6M-f1f>xKeyVx`__W1$@hQOc1N-9|&FRlVCTr7}V!b8EmN
z&eSS3fkxGC!ETWPkB!dEEct|h^j3}TctP>$61k)V^o@FLp|F*F?At`9ChrvoRj~TM
z0*7L1`)vPGQ8k)d-KFaT?D|e;(uU3w)_0`k`<%Lw@TO(z_Jk#D_)1#5#;srp7QKRn
zdVCJDbcWB?24Z1L@Wuy%M%1)cNNb4-5T%Ab46j?Y3r`&
z&TOXKf#JrQDL7r`guU1WQHSHNjnhgfx`h=Jtg@h9LO8`f?PaW>({zM&q1J6O(T1vt
zQ#Nr#=d?cM1xmeLDdG5&X+zcXQV(Z(@lh`@e(VOJreRoc{7(A!D+uQ_593u_tf^Hf
z9@u{H5FNF`aXg#>wrzB*K=A;C`6v(@SLXk-_B`bPte5ubN|R7M2ef6~*O6{|DV!8>}YZ;w#GQ+>Tt
z*S2}CNSf*p16Rk-bOOdSdhS{Zwv7hSU7GeYU==e*WA*X~Ajax8FIIOXVU+~vmTYJp
zG12PI+Gz3UEfzD#%rf_Rw#+@LyG|V@Z~6$2+9&Xj6)wDe(`2KJJCK?U?B|=KG)aWI
zkaZQe$3YcDl5tBfHnhr`=ZMq~45IKzNXZV_1qn3vaA=}bF#
zobM?$tK@1X6Q@+4L2eNapNmO=X<>?zvtTbxz4=+BoY4Gz22xd!T`(4Gz543yVz$y`
zEw?aB$7f4Tv|b*slsi0Ysm$K_XN-@JU%qu4{@!u3U+j>?fth#5AqjVIm
zMjTWu(h_lU0k$4MH0&k)98@;VBPp)U%KM6R<$cB0tyf;Dl(!=Twku+;a81}xWhRax
z13t+VF|_uB$IbZll%Mf|gvp%eey;aGoWX2=iXcpoG3Dwo9=t__~8w)TO*m$Tn=Gb=Fhqfzi
zVd-y6vmLM+*nZpXckbOczWwqYupO?v>Xvxh;c~?&E8Ioe4}s*|w!`>1AEYrc?JU3Y`c(uP<~v4LXdlbSerYQlQLOpLI~
z*3%OmsImy#Gf_tgTN+gkVLJ~*h-qpF+r751B_FmDw!6}VEj5@TY_C%b)ENYSJCoyx
zD{pR1Rp%Gv-}9YXZSxg7F2C}kYOB?$;4{U_H*MW<)#X=Se)YB;@v`d*MS>m={npGV
zHEfJ=0dk=x^7D41#<)zA!}Vx%gUcbjFOG5vaXY|Pl)^h%tXRAP%cW7Xz_#Q9
zhs%d3mxh`UJr`x0qQ3l04OpMIS)aE;Tp>mAkfwN1)f)@8Ak9+skRE#AA>amq0Q~iJ>w~?-eYqL_;KjUTICu+xUi9IS(nxhi=aVJCd#4
z<}4!$Fsg~FBY|`RTVdiwol0}z&?JsdW9TQu3?)bLH3Kvo>G;8#!JK@pGoeE(Gx3Q%
z15gs?bZ2A{NKB4Jr&+J`4`p5=!2;A{gUimSIroOC7ZjM`>0;4Ggmx7Nxjuk-XB(_cna*QJAO;5iAIKw^q=~_JTnUjz5LUAN~U@N*%zIHmvV!t9JSdJ{8^IyDJoV@@K7vYaF
z;k#>L?=`V-9>r4zF2IoT_0zCI`gk;Y=&l<`*EBo0ZYU?)g&5
z$T#C|-No58w?n`X*WC@2Fp!2*eDZ=na{iHP(NY$_Am3(z$MN}voiH;HC8200
zf-08TFfI$ZR9Iv_4o`s@qVaK(<`sn(h}u?8Nnx*A(D>aAA_#!f-HtViNfLQ@R!9B;UeC2PqXFEV)#ZXeEAm0
z%AcmE9fUB(-A-rKa8TsnlXtde7c8b5BVQzC^vf^^YV4{2rWK<
zk+FShwpuGUv3;Rv&)^;lLZ%V67hr9ql^s{DI%bCgcy_&zGd{E999Mi9jk38AnH*O{
zCWpv%Y%k=oI@YO5&SZGCM6ZT6li~3?rBf`-7PyDjw#eZtB2ap%h*u(#z_8fWfWxN}Lyh!3ZB`ieOEG)h%
zN7c8mPz^v>#EdAbun2Ba!r}sYVqw8gOCu~UX96E8SLbpGjL}R2gPI*cXq+1_G(@Y*
zBRF<~2Kikb*E_W`2@dKitKit7JLn!=W{X4fORT%Y_$q9UlcG1a5V>0qVE`c#;URo3
zwdV+tt#~&CA>!jhB}hc~EJ(J?k@YP|R09wsF{8>VNEQHwusZIgCl)09)KylI_Ez0Nw>4~$MoAqi
z=<9fIBdYeALhGWBasj1Z*s|;s8ukHXS%iS_z)CxZo~+C5gHg7y4c
zB;&;D`Q>t4UkqfJ(tNm%>&?`H1ZHj~r(MNTby`XoflsVg7lO{aB5chJ3O*!EVe?@7_$
zAV7@CrMO6$2T4BbS84DEFu5Wegg-{@Im^chyz5(EvEX2zbutG^EhanX$vY{>6{}RT
zxU5wJnBXyE%DQ;`C4eCokME`@UOe(s&+?4t;-D_;P1W+zJaXg06uE)soMl=bk#VLg
zGPt?rkrt0g`sb4tk2ZGC)G!#jX@
zhz1>ggW7Y%!~ep&A&7@qZc~y$^vjarV{%A+O9s^dBty(_vPy;(w(z)^Sit{~^@&LPyVNW!V
z8$>`t4DQPSIL{dFG4Wk(1X0b^PPWX$ZBDIB(viB#DjhG?9ULQ~*-3}11T}?l6hCa~
zc(aCg0O=SFI=qS6V;Ozi_^S?jhv@ZJJr7lL_^S^4dxF$X^jFEA^7*S4{QdReuM%L`
zlGfv|dJf~qnMBF{s#rc*YJb(qhNMdNRYjon_^JX7vTx-c`Ko@Na3!-WkAXaA!{H*y
zF!6>%bOzEnz4?{m2=UBWl<$*0DdW|4Mx9|~QJM|gxso5DHiYO}BT6~`;g33<*o>IZ
zvGnU`t53($@1Saa$I>sMmT)W)X9&lV8YcKe<~@cN;-hrU5Keu1h`5WqIYyQDP;K_+
z*tjw0G<7DEoD_ec5iQ7VVUTKe{S^&{H)DL8p4celrv$T0LOaN2j7xd5O>s0~*@(-3
zkndkcYUD_~?ZwrdMPd}o>&`Eu@g+e?v%YSWGEEHp=vZ)g_f{MfG2hy~Wh|KAjU8@k
zKj$F?C@RfElXM-yZd@`u7945dq{?P%_f{ETv<-&U5&|*p-hdJtqu_t>G>NQZ#L{*>EQUN0w
zUpk$O+t98A@5oVDalsXb)uI|tHV16(AK=Rb1X&}1yZt@+EGpTPWl?z!54_diQy;dJ
z0KgWXrrgayo7Fs}=ds19sMZ@@y_LTcWKMH(geKa3gzvl1BM^@RBMb?!t3)DdQ*&f&5`g`kx
zv;v5MNPCjDV&Z7IR(@5Z(!cGIt$c>hkn!r>|H?
zU8bAqB*kab;ShX|ggnxP&k>*-XK-dkbOww#2_Cj*_6mBcgm)23jf8i4Imn^L@cw^Y?c-d)vAYa`7_Q4Xk%@L)1&w{1G>(6
z95**^+7#@iOXE}Dmv92&;)9X9hBrfVak+;(d=uIZPhNe(39lAgS8u1^pQTN#sK46JPz7O9aeh`TYbo?6e6_**t$x7!I4b#8pe7~4Uq<1$ox;48xR(--
zpm+{S(As*`LAlGjw2>)z?16_|(!`W|s&`6i)OG#k5@vO}?>>58>JxFWZt`5C4kcnz&3B
z0fZwd+x~@d1k(4)Hu_|?mpad2A!GNW$~M5WW(1&pBs}$2yFEXAQkoS|X{qMW>1aFC
z91=*frP(T?uo|uSVGs9`eugW1`bCIT+YqojU#ECg0T8{gf!NUx5Zjj!=T{AY^YDY~
zppONAtvKLt*X{j`G$XoG82g3&bbVk6kvuU7lK;#=@<9j5_w+N;xY^^i1zs^gFR3#}
ziFG}5^b33DEcOG$>rrW`q}3bIb`EJ3r}2prrbJKD_%Y==$3_Ecnskp50MJ`5HqvdB
z@32z!>$e;>$|G=S2gN$BFR0Am{50I|#&=#jCd!>`cm$<+91C)^iqp$sssQ1@Se%((fWC?)>Z
zUAyOZQL+NAkfRGFl<~rg)VpV^xK$jt%N=eUX&tTx^PB3pzJ`P|?&KWDE!mLrB&Kn;
z>ZZo@CR|+AsC974BddUx&Wi|&xDKU0i|a2+^$Yde(ec7I)j+3(tImTPJ5#l4xdP3g
z^uTyQL8eO1m7t2y-BhE|ELZDLN}I~^rgL1x71i4d_aBZ491D10xQ!IoZ_ve`bW3?D
zcrNLv8=Fn6xT@1Z0~de-9Y^>?@5aY5N$)8?d{mYgN_dngwP&49wof1z9>(L7v-@nuk5bs(-e7`3jzT@<_D-)9R
zcTBne9GWEOyR@V%$9*zd;vV19Tr)@aheN}}<4~uKgf4HSTOZe?Op2V=$62sGl$JL0
zB{MHa8+F`}rLSL5mulcL>J=G1HjcYU=Qr2H3f
zlLsQWLAgPPPM7eVjvgl;yIkyUQk@kjK!|T+0gm}2Yht!inQ%Pfgm
z*h=tYzSyw;U#G8R8^l6fZRfyuoXT|hHA!X0l>4S!^8U!m8%_Q0kNi-v>~<-fuK2!^
zB1-ZpzU~`ko*YMqoptu@ow-Q_gP|K#A+f~f1fzL)QERnIjSld@t&lCKsqx_H)4?WQ
ze$T*rTQ8tM@U%Og1JweLX&F~eLZOlF8xL-%@J&iPgRSGYSB}t?8CdLcKFrqf9phVK
z)s9Z#lM+M!)+{5|leq+jR4#Y2z=%~Y^eLBeNr|EzcG}A%Rc9H#XEY4d(=D3
zVt60G4_}ABtkXA1S-_1;c=|LN@S04gv=KII)k^KsWUaEucPdp;?-AXxN}N2`*G%|!
zz|cKKO8Zi|Tq!Sxzd-L+v*ceSkO){Ia&?=M80mW-N5W^NjHE|HdX;XtN~9aMGsHR{
z6-6nJGzHM`!=mT}7fnxoT`SB!o%yPN+gz~jc7?dOt^95xrA&KWO_fs8UL&sF|Notc
zrLuI?bM}`?S!Gu*;-<)Cy~|j0!WS>1rtYG%HC}+da5R|3HF&Mr(mXE0>&(|GmlZ`y
z?AYiStx4f^k4h9|iNj-X?A%Qs4+pz<2iW*Xt5+xeQLbqlo%VdEO^*5&R?3xoVSW^D
z!yT@)u2ySkVVdCDHC$ueMqrrk#Dq~Io%Cw;41jN`wnf<%j(kMH$%SZbT~q^{t~Oh3
z09d%8GLOYHw}|c#2(XNton$T@=7V1KNC73{3}UBqlniWOXRI)Vo03ZiivWB|yJMd~
z1flRT;QqAIJyi-L!2J*bfh)fYN2)N&5cO_W<`7^glj*f@s(Qx)EU~M`v2~Op5u9=?
z?i=JhWQ03fZCG#^Qk4zG$_&|s$ox~ZM@AgIi>S|6*pca2DIr#)@XU9kQNnW>VgykX
z6+YqH5XC6L3|R@pd{P&-VrpLY{s4TtabtPo#-O;7S=AbVVBU>+xp!jX=)^?CpTWe0
z!^0C3lC~2QWwT^Kmjo|QOgtXAd3@a9rJZED!%{B<0kQGKgkWT6xIT842tW;LV?eG(
z3t1R@!n}!+S$krFdRP3-){3#aVn1zC{U4@@9EdqZpulH%E;8v=nrC-4<5Ss%E6Psl
zT``vmI|nVpG`JX*dUq~xuCM%RuHbNQ@Vd&}JoHYrwfNAYhV0yAxuC#(N|NMoMzK5B
zD6XN>#wfOqa(;RaEgE&--I7;^(Z#5QKodpQDIDF^EansrdN!Nf;Z#murjqF;uOHJS
zJJ}GQ#xShcsSuv2#i=qLCd4@6
zdj^8cKw!au&U&2+;b|JLtfmyGh8-3)&DeZ!Aei5A{OiGJyxqqGv@sO+E_cio@Oo4Z
zKu>q|`-LAlyH@aZjvkHN`UQ6S~(dt7xgu+`gfBv?9>h
ziC(2bo1z=OFeDh)(-JIk$r&N0n^G`!JSS;;Um<@r>*c5m#{FLoXq(TKI!)N#t*8?PI%L1HxdR6i8#*I~WI!GUh<#tehlgROq>^Pa2VB3~lC*&}g
zn5e>`fZ0o~ul^h;vc)f$w@;fXz@Bdlr~LxMKMg)rbX|$2UC7Ug{)s3=vi?
zFfT%-
      uwN_8Nzz3QE&fDmvyaM#8zEaK@b~+vU#~_!NdJGpw%gbbLi+b!{q*s)l
z;+QBsXn3Eoy|a6&#lLFQCuyFJI%G24mTQPo3F{%A2!@WdF8xY{4+<9(O2O5`HWLHE
zvuCi0YK&#jmQwKm!6F>15i-_@7ZDUpq1HecSuq|p7k+y!yK!6w^2%Iur80_9oeyw)
zk*6Lpo!ojj2Law)v5|vO9RJbb5n2ux++nnU142bZE3dJ2UfBw~+*@6Sc^pG7yQ)C0n;hlG9&8Gyk%;U;cNpXe`7sA<%3&Czw8K0YJR?7#r
z?7U(u*tYYkgZ!0KEO!T@d=Z7F4jni;-YnfysTC1sT2PM%#etZx-H#uDBn{rM`ULo*
z@!#xfo_(K)VfXOIfm7=`Gz4#DIiEYqokY}KKgx$*g?hP-fZx}70G=d4@zb)h2wr$_B
zWd}I$K(Hm)y8WO+&NBC^QORuc)#0$s)fU_A&A~REx(dU_G0qTL(&G*PRgB8gg4t@;4X;5x`f$x1ELB(0KR97K{xoDK>%x>xH+UHA-rNkfEdztG
zNV@WB2qj{$tG4Xew(W{5uRO>cwu3ngl1`!QSc0ID%q(^WFzi}eeJHzUS}b;j#bTVa
z!TK$c*(?>;XKg*M@It{nLBGs%yN7ue^D@u2?6L{k(B>kk=Yqgxs4YPtcxrpF)nKdR
z6F5y6X1MX;Fx+!2hI>+@IYy~Ba}DG{x8^HT)#>V#nr!hOHB{jq!7jV{WtY1>?DFQk
z>~a7ZS6Rf3GKL1`nd2BjO(JHTXAFmNUYNEJl(#jgV?wdI(`TpJ%fg~Kac_;d0l|*6
zh|AaML_Tp{LkYl(>l*ke>AD7yAUnu)4O?A5bcUN7F7@2pVC1SLU*d4za$n+LL6vr&
z!y)rPTBBwWD_e*SoH0(>d3+eWae)KA@o_kZL_VTSCY0}LmHJG3cK1!CT1#CeZ{PIL
z8xD|LD|$cJTz;Qd3T3?i;fQXed+bSLUj=c~aFEWjeZZR`eoA90E*R-Oq53CK)wP;T
zYg9Q0iaf}@B2sNJ6ivr
z^HFK_vwf?%&_^ZNlSL)mVIhTT&utcG`g`hwLIQw+C^VE~^~d}p^HHmas_@fgol`sg
zJ^835d$Oq|?!h6^w$%}BxA=SNgIWTBfv9yxulkP@f2Uf-6hk_1ZShg^57$S+gZW6<
z@b}~+q3p>b;i}skb?x;LKkSjc*xz3tgcM*5M94E^Y&IVyg>C0jQogmv`$qqGeU$vE
ze3X2rzb79hWlt6*SF`1+#wdT;WBZ`L$3AE&0Le+q^y2cai^%2;A0&;oEO%WzIbms$
zeCA^FkUH<|_>>dn1032U2wn#`ma_hMAP{XL|rm-EJkuV}ur;
z?_7gn>}d-w!?lfk4aV50PBmfDQLdDvZyN{N@EJMsdXwtR>|_HG$;PxGZPB_LBYXv%
z8p`f+FWY<4o%oj3U#||3e*!AOn-_P0Jbg0TOFb3Oya_|m(6}$dreV=(-JeS!&-}cE
zp-nDoo)?h!a*T~=+dMDeFTgLcmtzQ&{N~t(+ZOq@<4>-@t
zf%$MZ3g@^C<1Q5MAM?1>MKW9O9SC7RL(PbJkv%l0I#)k!T;JCZ07p^D=io58JTIownlHM!t3o%s5JZ;C>_rG{8W)ob-HhuxFg70(Q7)A{#Js>ot@Pd=J$ImKU-!ft
z2DMgemde!*Z`qF2ny~!Gg1HV3Uz=<;O64iKA_@wRH?^}9mv&N18^%#|D|bh%=6d7)
zz#&_*KA=I$qi}wo2N|pA=#$9?!&P*D;k53DRw}x0Fto`<2N40^Lfe_dtw320MfZb#
zhAMkWQ*;@Q+%4?0>6nZ@;tPrCwW#EqCxc-66ttZK({Uoo<;^4!6;tkd5>W%r%t&et
zqcsRJ7tVA+_UV+VkW-MoF*=P~9dFBG%zsj85bT?6bZR&mqe6#0kOafAF*6n9E+NgX
zK7DY!uvZ;^%|~G``4QN;cwHTV&Ac8f1NS)XrOLnz^YOV(o0;b0K87*5=>KEyP2l7@
ziu-XHNfuh$vMt;4v0i&5Ved#@tuE`dWw0$7jPZfx3xtqncSqWJ+MQWuW+ktW*c=8N
zh9m@W7-Pas^5?QS1No5D222otq)ZT7-fI-9?KG9wl4tqSBP2O2N?%Czq-pUT
z?GSMrHFbLU{ah$Jg5Ng#XUe6^{#nx9G21FFd#5$)q=4l$Ih1dCFUS#%NXz^EpnGsG
zRxZF{o{_=AC17ju6k&vmXnHB`9Zy}X)|v&p`Vu0K;K(2PSgH4j0B?>(F`;%7PQ9=i
zZo>ih4Bm$`K*4cCq6SFZL&tZanID=QJ0OeYWdMX#%B8CCV!=|ir(S?Fcto)_?@cS`
z%A5~I=`XkG@1;(%+I0LBg=;OR1ap&P`68v8Y|p2Ry4(gu!CwDJw7ZjbV(UK*We3?F
z#=r<$|F7*dmDkcWTmRE`i1_g|^84p;{I=P8Q(j%R-jZ&32Fyn4@Mz6Qbzrm2mg+nI
zPu#m#GiB+{w&S$-DdD85XI!V71-Jg8s`4#}DJ9(Nk8yHKT2Jks`An(oYN=sdR4li~
zMdf`;A8~P27rAKLG?+5nT&r?~>@w`~wLWzsc>X40kGCHJRiC{L?;i=~qp
zt4~7K{R8Dr&6*!ZwVA0st*fsZHHwGVTQ_Fx*C3x{83V8q_>*`x7R
zsv!ZXpGg_9MS>ekTVgfm$JC8r+p=rE_$g{oo`;<#Y!UmRQ+UkvdWr6_R+-yA9y0l4
zy^~@2I4C=4SY~XB7?zi}(^Otd*M{Zu+aY4@H1d069KUVDvMH6WVL6j79hN`-`(R0g
zp8b9_M%szw29(*}^E8?%4irqr{-G{T)Q1J836l`vXvR(Adt{
z6fw4cvYn>#TDms2f4LnZzBrBiel(8Xwz1umO4rz)Ntcf8S9e*d#W36Ta?=s-SJ;!i
z$uD9$R2}hpA+zAfkw4-sxnZ>Vw|2YR%uSd4gQ`HE?C#5;?3M#zZw
z@*Hi)d|-9cBu*-%IfNGVL^My3dU4NzoEk
z321R1rbs26Nd4zvQahM!@S20>8~;D`9#V^qGpNOnITJI;xkz5D##o|v&i9Qnbcm%o
zf;(xkNkc^2^OfPV#3MK1iZY;7MJa=~c5y7O*oG>e18r)raMG15UeEv!_X5|MO=Mr#dlW=On(i4K*jv{?i$
zD}<9w@y&Q?3J!!nSng>|4mFzaxl$S{l*Vh5Rd!oovoa3r8BpkCvx(OTvSk!7%lv>`
zT4|X?Al0Ls(?rLkioyN}rZDZIe%3|j#B`B5@hXCy7hMGtulPfgH!uR$#}JS>Wn>l5
zpdFh0ARgP6o{lU|Mds&ZxsOGLvys`c$lMo3$0oZ@L{`sF<|PmEbCg+jc5)!DqLoLA
z=^47}5mvk43|%};ckK!|BNxtPUJEB#t%dynYd6TVCVwy5B1Mk|ri-E5%>h66&`Ke1
z(k@-GUNa5nJslP>r(mxbtXIOB-NG>7+9*W#(vm1YSGTcMC~H(6*@oolOnR@5kzQ4O
zHt6c3itbIYX>ATlFF*2oywpVM$0|dE6I0X~Qtb`V+fj^^0#8c2yE{sIQ66I9=QoP;EJ_V&@>ABR)Yr
z;%`1Br7!w%g~|t9aA3)FF1|%Fz~-v*9J-d4Wbr;q-q|6GA8DW34|Ps$
zTZb%uv3-(1$2b;xAl$e8HTlk<;x%b!P~{x5_#=O9ZJa;Fh|tG?NO@}eki{OL*FBl_
zs=?8a73L?Qy>yztCSNb{nzUZ>9I|+>zb5#q-mJtxyL;1=131O)%PF{<`H6tg4Ey&Mpt=hOgk6aO#SaK$jG*JQUc?m+WX*p-*fr?^VWkS46D8(KL*?e7a=BWd
zYp(W^vtus}3VR{s6a6dl46#b1r__Yw+QCg(=ZiKlf-KD~IraI4BnEaq!w^z^mE~wg
zsXzqt@T{z~3WBXeMge}$8eeO{T4}?^d}2acBpmL76G~kF@l&>dGft3Z9b6|nqOH&0
zDRLZ#3rhXHmu*WbwDz4seaQ<+14;01;H?0`dqCOk4&29+>GBs&)kE6&+Nt_Vwu8F!
za1_h9`~78@Nz#ng_>l~u@#nTZg;b+ZWEKK8`=Up2xGYb!K|4`UmOJ^pI6bbdw7-Oz
z#G>b;3QYoxaei2(=iO1P;9HU24w)QVk?@l`##t5`^iZMWjg|{p&%D>W@Z&~3evRZ?
zl>VORb|+Q+`LV~geFDl>efZbo??=F#C+DvrQ=7b%*>=gi%rQ_V?+{MY`f+MHNPI2n
zR$V8yqX)@~C&%T;
zG61f9+6@S&q)gNrm1gB&*`^?g?{ugC0a8>+c8d+t&o$$hL_c&~c0T}qQp?NLjDV9(
zPJD)5rk_Tx1&bh)Z%UV(jU@p74YvGK+)P>fo&XKmraZIA%|
zf&+vq)k<^9sw+1>FFg-$!mvn}N68`Al^rC9R$akQ-PV=eMw$K|;kxonqS2kS6J6N@
zWe4dBW0XE@dQSnGY^SNbmaawEzOWr4oa&TBBWTy=3p+tc6Ms
zM_8Qwm{v`2>2IT2%+Hx{wAgk+LYmZ^tlQ^3y~!mxQXUD2en|%!5hOD9eA-SU2|LB8
z2ljn}cfC@Vw?gunNA?t>)y1{v$rFrv)Dw)@uFaSejC$|{BRE_f&%2;PVeG=zrFgDd
ztFEe+_m^ClF7I%oZ%0W3AF94d9cCS>@Kd*ks$Upoy2l@s6h2h_lxTD(?PRF>6_gz`
zR53ex<3rmaYv|OWPshEXXunFnT$Z9l>wgP-V)cYpAlM8<`2Sks9gN
z%+v=1joDWH7^CCh7$afJ((z@Xe3w#8!^&k*Lc@oZlmcxaWycqF#dfAt^5cuTQ)({v
zj>kiwq}fjScZ~8jrHwfFj4pC;E({cD@h$pkqgjiupT8Hz773N;R6IE^Bnro(DCA(t
z(Z{Db2QgV^%bmv3mi(#b*K&r049@TtDR#)bF;8n2<~w@j
zju`(Anb$}49Cz{FhnaF*yvh!lTSTZ6?2x$(BA?2o;n6~QtUO+ZkWspEW2Dq9?W*i%
zJ7M5J3-spVCYJ`pmo@MMyesvvKy7xUq_TIW0#R9MEGmRkk*jzR%M=szcDJ~^KZ-ki
zi^~HtlV-b?kc%?YenlBi!3{6j1kmYek$h{1hWt<1ODi+fVqjKkQ;t=cn^r_B`;es4
z7Hgm`^`i81vz*eQHSKt#~~y9XFT8A+)(67TVGmvNw_&uqWUY5&S21_eF+;E0$;>
z)=zx~?4cNjSw6pSiY^&*#1J$O)d~kjR^hPODDW%DN^+S;Mqqcd$dm~qj0rPs(50Z_j^VWDiOZwvn-hhqCjiZ~hq@sC{0?Y6nDCz8S=C8%QE6
zCliM%N&slLZOtIh2gjHdD(L$Hp6)Lf;j|Jsz?6zwp@h3*ssvNJf(3a
zWHSMl*&LN~cK`{CEJw&IR^$!Cd^3TFjf0#rbWk6Zi)^{vvzg#4Fw13|30?%mv&{tb
zjX1{eK!7&Ou1%%Sx=`#8TFM0^vKyaTdq&2H7);A9<%jY05sMuLJ
z{$I<++a~nhsOk4XR?|SJ9spzW!2Oh5r?#zd{Li*e@~0RL7pPk=j@l*!4W4xI`i8$I
zU!XUyNelGO3CI7Qzc#RKvBBPq2;GXt_7M1Rx2@rlwo>I=&NV0VpXHm~cm?Yy$O@1?
zw3klu*W~LZUX#{Ko^br7{+in8Ax1z)J#=Emvf6s<7$udEckP`n`CI)h-Dt`p`eatX
zOPG{xjO)Fp_-pd@9oUaqr?xdW5>eYY;fZlS@}a;-Q8GC8yYKSgOpz>b4eMwxyZxelx(8r?}%9Y}r(
z-50UrU^SE-qyvmmx*70BQSWG{sl1l1g{Ixm4iP)2k>5AP@!J-fX3C|@=2+6@#YRhm
z9TG)tmahXGZxr>dQQg9!Oj{E)ausJ9N)=%qojckRqv(_18vW4j>Avg9;zNP%5;xEC@FlX`Uj%X
zowSpo>R~85XsBY0iWsWC)lO4+EnOR`e$);T|22*L{z)9aZ9|nQm#(48l5S?An$rPq
zX6gg*Znjk)XdItg&tD($N|olmh#&
z_@bmZ0Rm4uBlj^LecWFiq0<`s2MgO-SkG4W@v8D6j3_yXVKlXBVeR0?!8JA)O-pmH
zi%3F+ymT&4{*R%ke&mDxvmujXeu|%>2K}QMw}iJw{FFUUR30))^;;A^>^F%@chXLV
z{V6CrXxL}0iWv6)w4J8%TDmsuzrGzJ?wdw_zcG&Awqf6tOxLiVNtfQF^TZC7SP1zQ
z-f|wh^VJZk@YtRAph18i+$6vY#VE)`sXiwk!(Qu6J{r?`s%QK-$Shh94(B8M;@K~G
zn;CFx&gY>3UnGI+)|^kviuovZ#qqvkVsFji%M^GEFjMRN(QH>vOEROGw@9%k=Ti^Ht-w7&C-2e68@IVfCh*0T6ERcH;)=2-
z==I8;pq+5k23%Z2;YNjGWgvm0jxmTC!a^@BKo};*ezIF|aikxv)gkW$9?JnI!?X2?
zT9w^MKRgC_fbJhrMrYj8Au+%J94S^H?Vp18u&JauS+CMHzl~j{
zp%qa)|CHKcz8F;9!K!RLj0_Y$AeZ6)*RcUmk#gbO7-
ztPsB-@JUBnv(|_Oyie0ATJlv0y(9|?z4SXRjOe|(i}c>w6}i)fnsC{ZNUe3KD`d1I
z{#hCFS~%L*u?#xEXSdN_aPx-tqRZw@+uS2yx_aS^WGe%}QPRTAToW^eo4G|`N)U2z
zyg^{aajDE)NNUJ)E11F#aCeI;4g%gUral9ZXS-4cKjzF*Am;+X3B51gXk>O+^6pFG+kVV_Lwr*WZE2I6hV;;LeU}hGltQusT{Z+2)BQi@
z-k)9C)}OqcKbSh*_!G46=MO#0I`8+WXQfFXZ17#M2PTlo-7+KWfV9JSpO)W(^DQ$X
z`Vn%w#;BW2-`CATOgionV~1wmKioF?qti%CfEa0ZT0
z%>lb-2JE|M?B%&P(mZztH`2Ih%iB}4lgHoM^NYJV;51IjM%aV6ZQUSPXJrz*t$(C;
zfb-YB;bw`w0^uKXeb(jv^u0QW(@{;}Hk?yrA*~~&gY+Fa=hGPqxQ8}^=^VRv?Xr(G
zl1sM9wRc;^0Aw|-lV>+bk&^5Cb&gfrPEFHqE6IKb@UFkqCFd#aH)nh2&1q}<(cbn+
zeimct1?n~$&-SCLzb4<-2ws!6H6myG(QW?P+SnGsh|ou*NP#=eWz4uzSa(mL{3)v60it-sW@>;ZrMZFDUoE3#|zllQSLMCnkF^dspr
zvg4)CJL0-Gzof)6i=4JHIUb1b!seGRLoqOG9{mgeJ;o2(I4(m}in7LM<@rChJ|;H9$yT^9D&%cW+y4(t8k
z!&k>I+3FdqFXi2TGv58UUEa+F#;3fSfvqz~mwXV<=w-3GGZ!<-{s!>Tm8~<235SVG
zJ?JhEJ{qVyWJ0dzSQ^zR9&*tKnH(V(_$kMksmC82%|uw(aPd>h3C$`u8l~#!+GITs
zxmZtBx|6C7(b$bKo1tvg7y2!bV(Z2j$*Ro87?V?Ad#smnnCVjE>WW)FBd6i$e&kzO
zPNk&&tt?Abi(%ceWs^M}^72Im{iWW=36P>nj=STKelCgoh<;#QHsTjQspU=2maRLC
zTKrUV$-IrIb|+OOGr0m1M{HMlE+h|8WSX3FNv4@DUowYt8XhT`x1?89ti5pC
z#D&|${Sssm&GYalR;efA_gq|{yC}+qF}SK1u5p2ZaSDzNgX=6{%)OyBHd)?Lufqxy
zoKs$dNH^G^c!*9Fs|^oNird5z)!Zh&3oPCPEmx({-T8`izl+#qm2Ui`mX|Bt0b8#=
zVU+2ok<0RfM58-tC$jtylpQ3?j8Xc);@x`njdq&KYsm|2TcpdP7}?C%y7l`(I|O}i
z8hQVtINpPhX6%S5qb@sQNw<4?l~?kNg`BBXGdYc&##r!HLz_-5Qiei4btXO!)PVf~I8^z4MZ71-~$XQ#afV@IZOEP1y
zcUTuu%qIto>^#g59Y;BYCOnFH4khi{%?4kQoe|*86n?HRVWu2Em*U@ij72e11TOQ(
zGB+$-T`&Qk;C=&iW@6N`2zQ3ym1U^SfImw0DGWD0P@ZZm>wy?&$V#Eh=qep)>EqDb9Ba}p1y#sc_N2!lPB!xS$)n^6mUhPhz943X0#P(mFhh!kGEuTmZx
zf!OE@pq&1se*nC#BZdBh{c6<%+$o~PLHDd&$=b7Wr7(SPLpNU5U<5G!S5zPHDCqwy
zGjT0q+y8&WqM(D>{MenZ%`*D2JMWt&R%>S2$8Jbi5q3QxlaFkNw+G>e&U!iQx4!oK
zEn>Y%+Ue%ni_1Ou9S{?rbw$(0jSy;emyJ+ltnrdz9eBHOFOtn;jZeZ%;l@ar%nZOT
z2{Dx!VCEz&2)QSP5QZwB7u|{%*7w;8}K}0qvZJ#?WZtjWg0hR&!k2YyswB{V8L-rST+T7@v`*%E}{J
z>qT4y;+_Ds2UCRZ}O_(u0UJJ1I#ldTycgLV1AJZ
zFdxoYA=lQO#hn@QhKx>&kwTZejWzZyF^yHHT)n_4(P+?VEwH?<--_4~&LVI4j
zZrzp*8#b*q-;4BcX#_la3J?i%3s|>#%lYdzu65Rg1*}`Ye*K!w=NHt%x=6wK8`o~y
zun9T|YT5#g-n?cVJ#XB+e&eRi^lWR+?%nK^_t7Oc{XzPM%OcYG57MWKsq0ya@4618
zPnuR5&)*An)f^LZ1N4PGmE+hIE44x70y&6`mWL0>z$2J;55d|g&Exl~Q3QKwK8}G(
z4K{)l0cb7DFC>LwL8)OR_!p)mD
zZrreCBfVe0Zo}p^n>Ual-n3yOl(A`xEI=J6)~{K!dGngJ>#?wn>$hy!ynZberj8Tq
z*Kb_EX4CrfWdZBgZrO7FmMxqDpmifN^PASLU3dQG_2*+@8#b)pvJrmZ^OiN6HgDLt
zalI@cL{m3x+O+ok^EXlxHl7b{-ngZpj1zz8s3X0jq~?-I{dRXu>iK!|55DI~1igYW
zmZ8DAfhe+|A#f#Q4JhYh=
zLm$5+KW^A{;qqqr<|eFb3qtxY8Yo;iQf>_IX;k*_0g{HxTMIH(q5q|e-H$T*Em`AH1u@pZlP*oYMlNH3`CiEgcO3mD*nF(YCqDcln$a&p+T&#f
ztxC7If!R8jcO6BrAFJ;Bm?t{}-7NG&XT=&xscj`9a8p&<++;PDhjgUslJvm4&I8nS
z`GS$3BGp-a6y<#^ZwkyvvytkfXQR|E1&LY?f6jqF{qSeS?!yQnxYmmTKGx}
z#F|QDSuHBLuxHMkHSW8x(MIVlSA(Ve9D5rIctQpC(H3s=Q9zQ^sa+g#`(iz
zrAFhhg*yDqsM{;4qo)jYr+g7ETH(?5qc;h)VruW?W@`bgE7dD-Gb!4JPqfayvNlp4
zD-?+y+#Ri39u&}rgJFe;6y*+6pA|Zl3Mf`f<9Gv@P!_Q*aWu6^>r#tE)Ww)1
z&R<=Xrnvk`rUlue=Nh?!Y!Ozas+cL%sx6w76|}0WuW!JCf~$w>Q>AKsa=cNVTD`qC
zJc*Z`H&*Xt%(`Z3^+;{Fv3hWDwPfFF97tA=V_yzVOl`&Qbmk#0@ySGNv|)*OFQR~s
z{z}MB>v$urFwmLzI%8icTVS_QM}x&n7QkPcybB)u66|rxgX9%hSk_R^=M=-R1(uTk
z(#d#p4jHE*8K*nQNRELIE=taVZ<0wTn4(Ku(sxMO(-ie>lJl@2!D9A9Z_tOm4f5{t
z`~YMHI~%&k@F9OqzO8AzCT(llF^Xb~25RrHov(P@9AGQ_hlU^FN^kNdKN)T8P-E1k
zW1T}0ljW@U-$QIOR9qR1#ASAThniJvZ=ahAOP)1eSTFBuV(fMEaI0?*sOBWB%Ujj@
zaBDuKt&AK_-U>9fV99(RX!+sfB~Tj6ermWr)+<3I>q|kga=bLrHnKxtBx|-7O1vk`#WXuYj2g%VIcZ
z%+wagT8kY8YezLFCu14RXdTU}Pb(vtUt(0E3tut$Yv8*;HB+lBxB+{gAD^}u$}$~W
zDge^OMq7C-K-Sg*6i2w46NHUbWZQIcs8p{WzB_ps_F+V7)=bBO-hCr(HBx;V>Hb4hcm#$C!y=$fpF9dOyfNkSsJ;n3%RFk{e4SBYTEwlXyhm)E?MIF;YQWX*te^
zfP4YeeY7?L^UL#$IR||nw3lW~J2S+4oL@y>xkVzJsJ7lmy~ITh8`xc+rM!^gdIWk!
z)mL3<0zEmOl!dhJn%T*svrA~Mrp=IgQg)KP(dR~)uiEJy=2y^I^_9-j$0Rpw6Ho61
z=^HsZB9K0x7(5!7oKFnWZc4s_G!l=dd1BBy(cs^vXv|W
zg26bRjQ=QZEnQ=6`0I$#Nn-GcoPK~i*;`e+49ix;@Jhh4b1_pNSCM>J1}o_>zL1&D
zETRb6kfJeo2_K9u6~aPTPP|oQ2!v;-TmTba9fR1r(2{f2%NdSh$c&l^vVab$eu=@$f>hlX4VE1Ez$vN0f
zdn@^Sq;W>TE?Y*VNr~PWx{niW9CwYUWM**g{|97u0q6b@`NnZB;{?I5cOX*&aPCbP
z!XgAg-9iJriKV(&x+@5?B5-b_GCny*zR1DCb)&G^5B`TkTlP(k;ZZG9waLP031SXQ
zJ>1BQO%)Epv>f*nR;q9Y9F_yA>fB*jxVXNb))=vz5+rFfOVwevL9j77M6O`&{}Lra
z?8@=
z#C?BkcGI3sU!F)4N&sGD8s$UZ@4In5nZ?Lwi(fpV82NVf0=4wb~04#
z@@(kD{k~Dq;FFjQEy7HF+=k}QhPG>VPn{5{nn{x$e39y*GT&h;Q`9}##wf(+JjPoo
z8Z_#k8`WMu?O6ty9Mc~Bq@sx2X%C)I&134+)(hC;`mDF&0;5*1bc^ZBW@?2yX(!W{
zZBVv4efb5*uyy((S(%x>n4EM?Uo7d)@Q96MT+5dVEQVRGcMd>1*3Qmhs4{IqjR~B#
z979R-)jaT;vx88aDxmKEM{@a|+y-U}SMU|8By&$!v9W@ADqslDdb}cXq#YQM3HtLz
zF%75wd;xLZ&mg|Wfeh+$e@5=LeoIXAM8CcfGllo-Gg4bc@xLQrodrnJQPpjQu}Y(9
z#tS>si@BV24{vZO#?sh_gE^vFy5t(jW{V!6@Pg!(5EnqnMes{FbwT#<15i5+EprRE
znZd>QO;ugX*aAj!9&+Ab#b=G2Zkg_c6|CmCW*${ENDXUbIM=1QpyB@CXM_>q)I~CD
zMGmv_$Ef#`e7XBy8KclRblIjIeQl`%p-lqZh@W~Noj9tCxt~}*LM_5f;g)O}xtQ1)
zp>UDp)C!
z4wAuTM1&KA8SR2}CtGHX?onnE6KZB8!uG?!XwT$z=Gn`r4l-D5T9n2
zRUDxr1&q)(s`R8pO9fS4Nr|NK;RS~9=|UCg1in)i(wdqLCopGkHoW0z#wKEe?)KHb
zX#QUH3#hgDsk7}~+2Uvq@2eoI&$<~N-j@d^=N{g)E0RA)8fV1Adx9yR?huBQzKm=4
zR-m^FuHC;!hH=*}V*xppZbxnexOQ7hxnGwDjWP)m?%Z+Qw;{ADAf=R=CeG@bFaf#3O$L-{unt`okNCvkv+lptg
zT?gK7_EU*p5g`a!p)lNY!gh$La#pPYX@4HoU=ERf0+}2RIsB9}Y0~2m&NRj?MkVKh
zkad3|Ddse$99z*T@XEMw&MkyYKC`HTzS!{8MNqa1`u-7EWOdF-wq~4jCRbg+(2{Ot
zgb+zawqkODT`}wRA~JIJ{E$S*-!~jYqIv~_$gfe-eCM5*2?^EU^Ca1R5~L?b2@;zCm9hv+4?8Q>NA+eWa}RTlk>?|+C#}hNaKu5wt9UE;|!@uNzKf=9stt2
zFz@;~@{Z5D7&mD0@Lpt0$h_-Pns-$priDz367{P`j`Q!8TjUPE?CM%q%928u%uk>V
zy~$ksCo0JNNYPvBi8-A7nTRnzErwNM7Iz9}>f@@EKa1NfZI2pJLF;r}M$!oL%b8H=
z0p|RrB56vz1;>1kDw_{g3&nA((`K!TVgQGCD9e{u#xR@95;4HV
zXOxOUW8WnPrTW-scsRuD?}^lMchXK~f7_vK71;h3ERuEhC)uBw{h8c%fnQ6yKEISn
z-nDWPg8eZ|_aaN01q|N^H2C7m@jC;<
zcjFU*VS1V#FuV#eBivcQ_D1K&lrJ;1Gab`qAsv8U1tQ4eiuBa5t{5DrQ7;UE@m5MI
zY55z0tExTHRW}gfzD^d>x@{H^uH=mk*&faKWr4NYmz5B}D$koyzkrDlKXuN1NH#he
z&AuP9MxfaT0+VwzoAyR>KhiiOX!azV^0I5KnxgQig7ya3By#b-Y35`AO@QvyoYhWWVukT0FJFgoOA<%zsJhyu?oWT
z3|BjpD9Q)}yk#-`YeR%ow`P$7Dd@@fkzc*Ze{!}7^RHV80}Ie<$86gH>h15Qy*>R4
z9&--(EUCdG0hRv;DeU8Vnh%v<%8XeCC(~;@&0{c?CwnBDCFKeVSWYwYX&Q(rO1dVb
z4b%d$Y+{XM7PeCOgQ>oTu~c$O6stI>J`plGKsA0+2eDjGZ4TQOu87eyB&pOF8d6sp
z)OeLe0Ox*cojYkKz$Ygv4&&yBSlN+yKej<#aN6GMo>>j7v&uU1Wwd9&V?ltcw6+W~Qq6MYU0&u%Hl#rMK-zu%r|Yf$X3PmLuM7FBsF!k6Y?HFvdZ21&yb3fn3+_1N^31QVTi+
z7TNGcpOJHVn2_Cl-~?#0nHhi(*2s7{SU)2y2%#%Z4l?7Z$)NnvX%5MhyU&%;2^GJ~
z_9`f_=Gno$ql`_vFjKgddJ=hdWMB>Kc83WfZdgX8J&-cD}7awZ-5+A@~ITt!<@0Hd_UTf2zY
z5zZdrqw;6s@jAjEDD}azL_u>vPrMF(XG;`+4Gm*U6!bJbOB4g>3q_$OIN>(*IVoJhHx-PQo-
zivzDLOB3pcmFmib@&Qc<%da!-yRyB}>k|J8S$*?vBg*Dmfyw#0MA{L_H<88}S(jLx
zl~DJlhLpn0vcy9`aTk^)7L5ak`LYCK0y(N5Mt+1WOEhs=;##5nY*iu+o6#2{*!qJ!
zTLw;Ykq%vX-b@cIM$iTJbjLiN!aN|e6edcQdb%PpJC#f6PR<18!Ps;L{u33xGs}8U
zU3@C1+8VXf?ZZ%3$FNAuUI#E!AJ@(NwTL^&_+*wM@GTxg3`eoE2gejPla4Jz$Xv?u
zgLs#}`Ve3qw@0ytBgZE}Cdb+Xep02;GP~5h+9qPoFhY!s`3a?J&}jJ#gA#qTG#8+L
z$WEiafm-HHs$$~U?HaqFY!wqP!QZx{AQ^jgHs!24)Z1w+uP5sw(W}l~cX)m~mEQ@O
ze1ogX>7)vYBi0@6g5>RT+Pm&>Z#yjwWOKfJ^HqoZgt{WUy&a#H~&caOL{d&1Ez0aVDVE9G-ZgbOt6^OOK8-rWk
z!KfENRnVBYj${g2X$fz@Z>mMKpgYKDTRV7~k<%^Pov`$idY{uncbTc(Sm)(tXt%V~}}
zIK}8KQO)Lazc*4Jxw|t$eKV^DZ-cUf
z^7Z829L6eof}$6tC*In{ih*#+M6DPISDn-Z%ZdTb-aIP?_?@j7ds7Nws%UUdj0}r>3ib
zuCIYh1;3Gc)VgIBmI@?)vnvI2flb5(eP?d^T3aQMuMyN>PMue$dU@r&!|5c*>cij0
z3c>M#$@vOF%Ku~$(l{e41Se)>(!D^C5|~*a_&LZ<7ZwP%A;IDR_x8UO1R~?>
z=K?jjlZ`Eosiu*Nb{n8KLWrZ{FcPnnT?U%8a{o+K4!=KsQpM6T
zGt|AxXBjhfgDql=%S$HpgND5q8&v4Sp2O#V7q!ZrR7JG0KL0<4vQbp3pnUZB7*z%88gMe9#@($p==B##m(jA-qn;y&oVhQ`*;Y
z`JiLZiQxcs>@vvV(>bMMkyBmn*hugFr7_JDsOm|WDZGPs_%T5spmMs(z-Yu-(wl|1(3U$(Z~B=jkL%?!H#+5-NC??NX4({@uYnqYO9iz)a!R=tA9Nf4M)>
z-!^}-EgyE^um5CJqxqceu?pMp`z*~PZ^Ngyc6|KJdW7QF&dLiL&aA5q@&+_)eRWtie{zh~t}w
z#%pbHp4gL8nDKm{4itC6^ZjHf2F%FlXFyvS6UdX=%X>N3^Zm6e;Wke2RoCGbR`6)k
z7FjqE1?Ecdri|B>mYQr2HM{DyF#z6exY(X-=`LQumju<+@1Aj$oHz_jnUmp#uK-O0|IcjR~Qy9ykYx
z^#WcOi{bp~ZL@`aU<^{%`|o!nrIARk$6oJEcJj^_R$sRhszRaU;4KR?9qO-X&*)hs
zve%>{+t#r|fd>UE)NNcmrhK^Fd%Oap9gI(<0>AzQO+}X{eBX=W1fTHz2X&i!
zXiz0G`7k7QFS2ANeE$W>gT(RQhzQq&55KBC4CyZIMi)pW?M`uEVNFWClQUAV$Ef9Q
z_A66El-Vc+^VTk=hGMuCAifqi>VSI$@Yi|48^%QGb
zfoB|FrQXrt_!Q`URl9Xv2%ODsmxUZjyiU$iWAb9BwP~A@8?bpZGOgu@CfmE!IloOw
z&CG8v0@AxMza58S#Qc_VgC+|X^M1F^ZxtlI?%MKr?VvKZ#p6C3Fjm*bUFXsYA#NwD
zlW{NNtlDphz`m|db1_mI18RYAyRI1t6pT#(qo+e460Zs|=YI!@`#7~y$9
zcNdKCdMHL1Va5tF!V7qh=NaJv#RzjD&YIwzESgT9oEw)(%5!ot64jeLk<%7#e2>N)
z%=lg?8x~}I1s}lpNyFtOQY43Lx9iAF7v0#G
z_9EF<){DAkc=x3}AF}#Z1H^j!a&TvW>fRBUoG;I(osj$y(l{e#n(vj&NT1V4r&MN)
z^nRea3r6~#$Tq%2&lo{Qx`I3jIlXSRu+qx4Hz5v;=zLNUlfOaQdXo=v679NZ0m?^$
zwh?nbkTN&Bn4G@?nO;A{&Y6Uj2lbU?6j`iK$8bq3L_LC;`nY1`ZzOxFZ6leqG3os^
z_DgBl#;`iM!bUhq)vk7w1_>H!+4}nJs21`Crf)(f$1X7Zq{3RulB&MNDdePUz6mBI
zsosCTFsRWDs3GOz=9!;T>)c7z<+I2I-Q-tLwz_=we*A6Q4JKKfiRLvq>{?>8q&w>x
zaetTC&Z>)#WL_&TC0G!%d>wrmyrqS)ujMcnEU8#|MjZ-V7<(w7RDNlrFdf3^c}W(&
zS7FShN(27WGZvHMny`rK@x9`AhBTjuPlPn-$$>OEXlvK+x|)xX!uygBGN0fBnWC5u
zFs44U76m#X=J7@Y1j5X`ml8|n`X*qmYJ7AZ4g{Fj$wFFxG&=xOuxHxwWlc6U8eblO
ztP%Kfe_(QsFVj9q_92Zkf-g_eys@$qobWOwG6OHK2BNzFFJFON6AOB{I>LtOwv);e-_$7L!FPU-BlTs5f~7CrsE^UH`H}Lf;XfVZ_nbr5v4hO!pgcp<|UJYO=HSK1{GeZ7I^U=s8#Nyo#4fXp==c|-i5zycu}%8
zgBMNCy6~bU-I-pYk*sU^(}A@x%l5)Bayh;uhp7s3M2!hVj;{_Vl_N)CD1?FYk}Qy;
zFxOInEy(ffK!XoC;&+A|k3T4oBRx$Ia$L8++>8#yw?`FaOX>hYa>rw~OnZFg;%q_z
zBW<6g?2_6Sfzhh*(RDcxN
z>};UB3*hWZC`N!Y#tOm`OL>o5LweMsOt)QIZcf(W?rYeUP5ZD*b=Z-%k9K#D*8qgF
zJ>C=tk9U@hly8Rp-9u9ayu?i6wGK;>BA@I+x_gsnaPozP)1}@9;buBi%_0Rn=;(%&
z^;sAfa0gl7#^h=Yiv)r@fSLNZ&g3Jw%P$U)3fyOp+v)e!>f?o5`)QSV4@yV>R`v|A
z?sj4Du8c47u{&R#migG7_o$^x!D)4qR0v&(VJ?A!+aQN;BC3D_?1Vs2FiJ`D0}vv&
zK;IYBJRv);!A#+@GY{$~7XPOnn$
zzdb*lScOJ5M)kfQ-El}LjE*pv{!DxakQgLnuUa7CM}b@)B*gCw68<|r(JC}OO%Eho
zE9|cD!v}2rIoIk>%oNlCAmlE^Op$gxcw#1{Ix8kb>|E_7A-CB
z91N!INsc=N{FxCjcq&`i%{Iu11yeFJSny}iBVE9PPk`17EXX)PSnwCTzjLwRlNc7n
zlkHt#P^w)44)B3<3UHi<^o_!S@>II%rt^ZN*eC0-OM8XgIgAEZL39?Q6U&ToW
z{!b?$+!4beF{odHnfkcit^>bjO!I_{JO?v{%Sb!G@9to_x(oaU
zpk6ERy9++#^eXlK^YYV)-bXe@^}Zj&ao{J6OBC=EBZBNz3-Egtkn00}_?-d2kKhvl
zKYE%T;I~?gw0r@f-S9)Bm<~XnfdC|31m=ugeaC02WxK00@1;GX`Oueuv+hAJ(E0ay
zS;&k>MrB&vIoL~Ell&_-Y(~HykK!|%Pe61Rpx&>c7y`Eu#RWU_AcIRu=LLa;H
zzD%)FZdzR>wl`T7!(YM!Db0W5XTgV@UZviDMt(Zc`^d(q-VZ{9!tO+&K{05^UbUdXDv;|#gZQ1H!Nd4O
zXpo+!2Mv-NusS)uho*vXx^G8rK&_w-5TW7*)Qa@D0kw3R8&LluO&sCEcLI;y<6v@
zFZ#}gi%;)nj`zNr@^(61d_RfdkQlIkh?)AhPUPdg4R{!Jv(_w)71F-P6WhymIEc-Z
zg0dk5ZRVD;&}y>)5TAKdKBJiR5ceiWL5`eZT@2UA#K7VD`;@fnU~O4U^F-gDjhVvx
zer~1eTe79kva4t$+7wJxCs2(lRu^m^1s+?G+WP!1C8V|{Kb`1$V|;d}EM!*vc53UofX>p^B!7+#n-O%T`0do@II&quWCokv3Pg7S
zoBb6OBd{6c17WkHTn2$#Z?lqr>ITHgjEtEa>yQU
zMPvfO_-ahUX@LGR)7m+uJ^+%zNRXyfiPqKOdOjD6E3^dg3Zo^mie$5erMS1
z5_}?TMo-g&%~s*+1;y54cy~TBGtWv&L!e|K9pEx$SA{IDIDr91){VKxX~YZHnekTI
zE1InA0;akZBG7Giqb#I#+bl%SN!Hj7a+y!;B3|hGa@7wj)yoEy54ib?<=44Zmknm1
zNFUU_2L@Ilt54&N0|S%56>+pB;LP4^8OWb=76%nf9(bSsb>iCJ)`O?T}?j}
z!z_V8K7g6}xccN{%hl9ZaDGFxP8)Zxf}TUyurx|??=Cu!%ht0411!#`qng4u@IDNg
z92)3rOyV*?}^>m?>OCH>3AHW5?kZRJcYJ-1mkv0Qd13hWx_l0<0#y)d3;B$?6zR
zkpK)p4jpIT
z+vd)hV_e0vq!p4|Dm7v2q2M;DhA#O9sF?evz*hool)PE01Kd9xL|2d@d^QPzR|83|
zcIBrNh6OvQ%W@TTvE|*toL9`s3o%o;G!+T;?x@${uF6%b3Rl&XAs^w}Na0q31}wy@
z%lB2jA*z8K4!n+f!`;CVQkc1~@=Z{7kd(cKh;R+1_*I1^knRi*XQjS*Q^D|QmYY9(
zzAA@ViuFXniIQ?}?c#Px0htBT_h;fB7cs|?a%}OqkbUtSqKn^|$K~75Fy?Wgr|I#y
z44~6O1XAQXT$Va_E{ZZb@V6+@N}{x49hKSYZaG$^Twr7Ur4&#a5PoAwx2}qT&X!-u
zLT3EValO6dThPLj<`b{j82SXwrJ{V$eJ$w+GzsjN&a{(m(@lcTG_SAac*yEQK!&g7
zn84)R*OGQb(t|Y4h_7XF>T3}a>b}A(r7+`a`3Xo-7hEk{kY(J}!k9qQ{hx9f&0V`&
z3qBIK$PllWlwmaD%yja!;3*2@bmj&>Uqk3w8#$$1B~Qlw>P>dwKS8Sj*hV}R?bcav
zZ_0k=3v-uns@n~uSN$cqE|h1+ut?zY8!=NK*NS`>$~sc})P;fu7hNdW_oDG3UX*-W
zQj2O0hfN0{lf#RGpHu0qdeW#8QwkNMR_jK=T54^y4ZUZUI=BYuA}gBmjOMUd0fQ*}fne}DO4>DF%HKh8sxZ1G
z0?FmRl>dX7!c}z>xbu2_sA=ze})snCR(
z=iVMF)vBFK?tvCXI8pMc3bKN~rSA7i3Q5#&^3w?y3U*DGB`U~;vND+OiZ$uSOyP2L
zj_yLav^F_5QmEFNg?(_SnjHEG@pajMa!FL{I1qRuWb#cXA_OqwKiLjt2Z`7PM1*S)
z#jolZ0O?M3u~q7sI|&SyW{LTO<>nkVDT5`-OO$YXYZsmq0g$6SCt}JX#n<9FA*15)
zoZxrnIe7szjCoGzX?i>-=iz)@#_HxBA#a+vbRx-%=)iBH90MunX*k^`$0%fr*_`%H
z3MLHz_ZcFsTh~CR$vv`=)-AIzg_9h%_)LgVHlK;|LHC)YAJ7c2Upmj;Cz~4`pK?EB
z^%*(CXY!7~l=aog_BUwiDxs$5UE!IcU4`r*+
z?J?+8tB*u7DdQtCdE|n3mUL$eABjr}q%ya1lY*w3HFyCR&1DwmuvUS4DDQ!A@28Zs
zYrc`aQ9{FgBfBwExO%Qd-^NaEjhX$0MPS1pvcGb$TrKpICQGjfZSV}s3H}hutNTOR
zsk%3LP7G71udCsGjm+zEUq^aE{xqg}!X&paQ+S`}-B;oEgXHCuYD*ya&B1L^Em^V^
zvPF17@@NXOa<7LveE<@%PX#Q^efjBx4+J}<%d!;Y19=4MRfjJ3_<=@_TaAY>Q@8|O
ztouMJY}sR+mb^x4aF8haL-@Wmz9RCR$#Mh3*0{x=4*$rvqgu{Ez_+NI+)RoP&5VEK
z-=ORu@%tJP;Tk~ktJ>{{23nNCD24IXF8nG2Pzz+}
z&%`5A#JonTgvGByX3FDN!SBqka?Ty_M0rn;ae1a#PBTtu&vAIu1zgIG6
zyx#Z3+mE&Ox0?
z*j`m^+}41*j7Gl*w5M{CJPixLE=zMJ8{l2%K9-hUVGwzI27)+dQ9#Ktv59le8XYrw
z_U(s@qf0?vm&2cP;19~~irt6NymOl>3ILmGVIpQMvPtYhX`~L9)v}Tcdtd|3Yk&@B
zR`10pGOP47J!W-zeX^P#-*=idz7Mi?U_bBR<^t-6jqY%E)1KPCJLve7`KDRi6Q)OrUj8^4hi=v#Bt1
z#`w%@sMTTFYP?i$K4-GlEH@6{ji&7i
zm4I|aFs-1m{O};-jMlXar6$|@avpva4Prm^ewuTqKCbDS=k2H8#P!o6e@(uA;x%dg
zG!KoJY#IH~TXv?uzBYP`kb2bPJd0l{^K=i
z{dd$F(K>k2+w?d7n%d|&MnFeB$NGT5OO6^c#yi}bksQ#cr
zW0Yc%hhPKJWYro;qXJ;1U}36VpQRL$>;1)1jN;2|FMv#rSR4GL`egHCZN%xu=!L>(
zoxb~w^7Of|A>ty|<~2m0JE^)17#nNz7f`mk40s*>w(UofOv=RCm^^}(&o4Z7=gZAS
z086?j1PO~|VJj>>m=d!t_i)2ZNpJGp946!Rb|Kr7@<)_3@v6x>^opcPfsrirQgx&@
zPHxcxi&}yBvL<|J)W!~$>sF=6b*_8~Xi){!EhX3hF7ThH20%YOu23`t6hEoubt>@x
zX_V)u?}v=R-zECoNmYSQ-UErlLo$-@L-HVjmrTkCyvZY%z+2KiAxIDufe%U#0&mup
zFYuqqVREFvAK+f4ROYXeXT&zjfG$QFcze4FEwNr~)@X4V8Niz`vkC
zlM@6&O2eZFOn4PmO_5$K9*QY{OJ>plvHW?ue7l8A(U-F!lVgCuPu~C`nbMq
zAo|=%JJFY|PLJxJaVa_C0&20l*nFg1!n;TF>B0MkV+1#BNgOI
z#S5FN#?x>m8qZCDrR#}F*hEWL=cIk@0y-&hHd8yx0V
zhv_h?QlT_5QsEz2u1a-ZtuQhP2~_8kRgVJv?mf@fW!)`s*ha29M?)qD#KTWfx-$=%
zAp92WhwNt3?z4>&{S@-iQ{GQLf`ojHAO(|b$|#u0C6|I((mmC$U{PWt
zMWNNrQbFBJy7SfTnw$>HsGGOQWFB)q-5TH*;fK?phh2@fHDjxgfcLXf_fyiYZNGa@
zlz{V%H1EbtIST@cr+>r6u=$S8_q}EcmW}cki$+S#60<8Hn{DP!#jDK%K$0GeVGeDb
z`e=Y8@jgc;cDc_Zx8eOuO!LHI&^Itsc;BCC1P!ybLb!burGTJ~#W4)M?$0MXmxhs_
z1-GLE%bP<{kWKzEb-8lXeBT9<=rt5xYWW<`Jh;jC3;<4{yIax}F
zwt;|R-b&NzQ6-FwgtEKuBgb7Sc;M4>h%=NX2D`vL;#ItJLSmPlw7l9V
zln<81CIQbth4K(onBYv5tBp!?O4gYMyZnw(EfqbP#D3{b8oYbNaG>kD5o|#5G)I~?
zlax)QQr1?aP2kNbFOK1sfK_*4CaDuJq$iKSP%MlOz#QC#dfNDHuqofHVRo<~XZ
zr)iOp{ev;h6SDO_%oHwL^H8ol(42jjok_@GwMH2|1RrvG
zm3sdl^3#dlM>aL%|L4N#zY2%b
zvO8xNO8*W~EEPL>8umwT@>Jd}!qj^)2f^qgNqb4Mo}5b7bVBGoF`N=G=UJGkk6Q*u
zn7RU?pYDUu7HJQM&(lz{l%>`*6b_;}5yNl-PUDax2Ve={gdGzIoSs2RyAGTGB&K;n
zo?e2P!sV$Q*!-qoy1EOSFN1omu=y|GLr$+!@4q%bo#=gJV^r_^5ip0%!Vn2t>d(Ys
zvltg;uUcU913<11Hsf~&oBtV~$U{v}(*v6~rO=WeDi;cx2Xa8OR$K>=IfIY1g6)9$
zR7a}>Ty}n!c93SBKZG9W7%YEJ7Sej*tbt{XXWf9xX{(a|#Rkp@RPHmOvfeDG-#H~V
z1C+l5#CHKGpYlR5Lfr4n_(5>yKX~8g0_C@b17+Uk*@el!GxSP@PL@L#0TNk?|3uyV
zcI0R+$<$fA0U%S;36VF(@JT?L^_Z!TTZDXwe6LA_RRd=Nh5^eXj!
zBR`$!ePm-)@B48s2gkw$MS){67Rp|=fa4bfxjt}=-x)Z57d{axj<6{r4y1}yX0B(`mL*%l<4DoSK10qo9=tApx
zgvV*E6cE{XD=i=a<4*$j-GgXgaK?kOkk)N84UAPD+TieD9AAlP#pDTUJjd}y5tJs;
zP8YN$f%VbMd!75=kc?w+R`>IHM9vieMname16D7oIQg;K&SEiyhrTa-6?D}L5~
zD}LO0D;5j2PL+dqqSiylX~`%Bw8?m@w`9-R^uW>awYN437ksu3@G=t^e+l8de2EMQK|8r{PNnn%2s=7l+|hIHa&o##_h|H(S9mOv@psojK7
zxG`~z0VoI|bqpJAmJXB$3s=FZ$Xm(U@{8@}GKf?becsxF_z&*>Lx0M?O1(kb
zS8*peKc%El0vnE2`<8OOX5CSzz%;IK${X1Mq-tM{m>}SPu~yOj)drv)uA>&VxFr8&&aXo0s#v7hzM0Nvty8xhe4x;4irX}(iC=vuhv
zM~Nce&3Y$h%7NcX+|U&?f!tBA!*MOERuwL<4%fzUck9qt8E%6cAF5Q@EDWH5=zL~9
z;M6{jwWT|d1MIhD_PpqK!}g?A3IMCVlJZ0*&Au#$<*1}wolruf)X7`BxHL{ojH6ZwgkM4`
zjAfPJgP_vBRRa9ZRtdfi4P&bW^fW!I1nX&~vNX15c(hb64a4@Akc;E`?P~>iiL6#s
z2MY$LaaWY3OgcXISk+y>(&`q4{$RF{e+|G
zWpc$`{k!lgx!w5JdHB~V{A(rtwHp5##J`^14;!eEtzoybExcQ|Haf=~x3kTMOyFh;
zy=d-KZynx?=2%T(O*zL~jkhUaW5cj4oY7H_HM}j>{i#eY3iNLoTBe1%R!#Ff;fvx@(~$n7Q7GPqe5@Pt#+ri-elM
zd!4_Y+h?`WB7X;#c@;B0q9h_|4|>#t7i}Le@(LrJzR>k#%+M3v&;*+1QCY~0T%kCQ
zcOdiY#90lQ{3X^2mST6v3SYINJkIzP$gsWl67Q$
za=v((s$6mll0GAgmy2|}>aOpk-PKmGYSiNBZ)4aa
z7Ds=Bnfio?A-v8Wj1a##daz0B<9O-p#MEGQq*Sk$rs%lQ9S6(Rv8h$?c^Hle8LQx0
z4fo{WDh)d;1kVvE!8s!ALL3nZJ5ig!TXJ9tz99}F#RVTlrumSkEvU{XQUpxkzocl<
z^zDp41|EdQM2i)jC6LMC1;$TmdATb($7y^Lv>I=9npYcjcy&Q6rVbFz?xd<4D)R7v
zWG$4fx}p9Z1k1XZDjApY3Y&a$xvDJbc2BQdN#3`nxgxM~X6xKTCXNrdaC=ftx1y_y
zUx{)8CG{`d&ibm%C=jXYk6U1|W!%L&LM;Q4$*!>CC$+p>eGFKYx!ow!Pa|KIxrJzS
zCsp+?*$#;#R$1?W-xRGBpU9@SMHae^8EPTOMeIFb74ol_)r3Rfc>+vc8jVzzbVIB$;mwpteDCzgsE*4P)fEJM7pNa277Lz0?
z-w5`2kynnMrpGI{W^w|K6)UsN$B2#dy>sVSy>n(cPA^^S
zju}{FQ0GQj%4nhC5&aOh;^=3^3*kpLGurn&pI{~vFgp7|Dh^qdP0+up_UYy`&_lRh
z7IK8}HPJkUu_png%}I7(%Vxy;vV?hGGX3b>*PK$B@xrVEs=MHYc@`7{Hjd8IWQ?F`
z{TkleRxgY)YF=u508}^jl*TNoaDluIdkYUqwuAY
zLVC(jc*+;&0OVq#I(n0^a$tk-?8&olho#e{@UR^IoCAMwJ$1$I!>tA7YO`J`HxA?4
z>L*$%I%=J68v+QV8D^iVCJ#sJuFlN9tg(y{I)f8aTSscc4WJNCYefemJBS{fKEt(o
zIXzg8rA|R4+jKVSHvY+LQP^lfIbDk0xa-2@&GOA~c~gJ+=HW8kT+@HiK;goXa$^{x
zfcE2J$S{Nu%VdTAi!K62QaP}mA#)kGX}%RJQ#?RnE5GkDav56jJ=1|d`c2S4tjZKJ
zwZqlr+BeAxj;wC`l@Q+6@kWP>K{xYWS|S>AACwKVtsfPWqha|YSpa`&3MW|eOJHNl
zn&e|x7>!VBM28e0K+~$y=!ASOhmg~dkkcK6B*(x97cIAEg3jDJzOY{2*DTfdmz#%M
z=k5W}G&xpotd^`@jk=WnBwae(nh%*OBZsM-&LJ{oQ)Y;~51QWY5IK5u@+xQ_)y>Dp
zBS%7Mta?4~SnCk2E|i>kNvTn8Y%OdBQ$|L9>)sv0w(OObV*yW<+KrZc1rqQxLyWX}
zZ|f9y*~vQyHFC5R!OQe7t<)FN;f*iL#2B4@ZHJ7C@(*P3Yk+F&3p1Gq*ZAt
zlJ-_4t?vkvChT9I(MBDB^`_)(>>LJ`egavrpJ0t3Jy&|gr3fSFiYGY~H889l7cywF
zgnxtf%j;Ppa!AXT6p@VH^GDA}r;S=FKdUBwtgi#Ezt!+eg&eipia=kpV9gbx#6iJS0qk)EGRvd1fA?-24
zHcB=p+Tvi(4Rcz@XvG+KXI+YSh^`o{!!=S01sRVU4T%WDIeUy;y2)`wxM5X3l@Wva
z7eP>W$_iTdtgcNoSC7`l%R}|@q1Bg`$Hq$a)e}?A(OUIM>j$^2hClH4Wp%i4;83l8
zpt1TI`Zl;vyjgt%M4;j#AtqftRvF^C@z-z-ZmXti4H~QWK$v)?xo1xX!zzgewca6r
zMaS5uDI41^_DR{5G_bHN_PHKkgD}BBq6wHT4bRJ=BnbRiiD?)7oGihQ(g`Wl!Di`W
z5{?+RvB4}QBm;G>f_$Aq9jqJ8BwVd=WD6<5pKEy6=E9#-v+xJcrw>LxZ{rn-iLH)&
zPEe3fTC5Iw-h(ADS+yN~|30Gv-T1`eo%^AzHu28iLe_Y^^G3+U@D7R(!#k{zD7YNz
z9ML9^qzOCOXUheA_$;L3@Zrt)n1Mey#)4_aJ7t=q5bjYgkC(@XaK}KU3U|xU@d`B@
zj>SB3MR*Qr+mf$f-LSoplORM>mmCAfP`J>M-xCU3+w~xwH#}A@)h+7_%2-zzFT;R4
z0;tFI=qQN>sUQRU2m%GuJuaTsrc7Z#)vAkN8+a8qgTqyZ={8GuWss)^fpM?QrKXhdoLUD5{OQ8LGwk)Leh9lel
z5jQ$Fe`$l032Zx+cnUm8gLksChwMhqo?h>(J0zQJlSG$cONx*!MX6cCb~}DQ1}t5B
zhV53!9%0yQtV?Y{@(d`g3x@3kQ*ESOWBo;TZ5PzV;Hc#W#1OkC3IMw%#UO1n}d{o!Y>|=TtVSY
z%0j%8(sPLDYbbF=_G6JzKXA7QRBL3*2YfCN;qLlO|U&Ke$z_hO9Bk-;Z?bJZNCq%oHZ6^%5Rag5f+QpA9(a4^AGdv0rjc
zr~3s<`AC-i2{5=fDd0a&tf%&s@ZJ0!^$annk7xD`^$O${{Dh&=(!F6r<0hz*4UL=e
ziH1gcatw_LBe#=vpYzD65Q_VKeh@0iIWRKoPVg@YB8%4%VIKX}j3KSCy>s80&!r(a+#fd7)xLT-_#dqpL1M7mNIa)i4@
zI6pd{7o;st_F&_)^MchdFNp3x`;;NND7}lTvUhAlp=u3OH%abnVhoDyU^bCJcAtq6
zgAR9-*ch&iB2R(Rx-g1pZW1Oe!cD@unJnZ}IYaG3h%1&)v6-R(u$fYN(#C|@%zJ?d
zW;0)lPh>Oc$ze0OA!^reyfS7g;d7Hlh14dr0Cp_E-@x0A6Y>HYh8*)?4?lb?lRJ1~=<
zhU^h$(#G!8vLx?-(z;+KHKz-8im;NbkI72Di}SN>D=7*9D=9@MZA+My{4Ef{tmK?O
z6;_g-rpHRI#Wkxv&Dx%FbtDv9p6l_uD8)H#X6rAHXxEF@1k`>X7VcNAyOOgALN-u<
z=(*;$>*|wb>rF1lDCx!gS$n6e`xzh)?m1E*@LeJc`CaP;-5aw==P#d2Xg9jdg(UP|
zcg4upFly4X&gHd|K{li6b;GQJtRa?G%y>hs>Aw7HxjFxMz@nV2d$%<8ezWuN(y7B7RoonaVI!=FONaoOO-rB
z82AfAMWG1C-42!E5S}U~sO%$CSEzt%sWjFouaLf@?i40vA$cjbqBnU7Z;TzGGr@Vv1~DWUjOw_p)}}({4NF
z0u$19q>_ao!)U%(>J|b3%&>@L7&^Hh=w;~S0eqr496dSE31@pJey>
zVx_$s22`F6RWhKm2cHP2(31GXZp98&YwEqP@(P&RkuF;-#RwtwV8ii*YYExEBjZv^uHzWk-9@TMLc<%SEuAdj
z2_$M1zjbN3xcydaV`PN_nydXa`2Y>CNe47}LAbm9^|b+L7#VIGZ|%1HE*OHn5Ov@atpDK7>$oxp}5rHP>&8+
z?giins#q{hSIUwip4^3P=uMu_n-UIgdN2nAH+M=tDB$MOYiVO8xsh38;R*)UMA_0z
zD+gd<36@+qPb9ACN?B=}U(VY6vUb~ykS1-jTYeQtBSZxtjYW3DAkAL_y$sU)6+RK9
zp(hulVO`V-q#0mGS%$)yrJltWR+1aayy=LBGJ^U%7;}YcJvj4r?HDNRUb*rzb!YhX
zbXaa-JDa|sny&`;2n)X7L8~yAG3hrV{EilcFpwjDO4%lW^PpF-0|Cz8$wFGcJ6)rL
zo1WsX9lHk#$a)R{eg+;$x$AK*e5Lm~a5!oQd#Qm1{t_22b{LBn-;j)ohB=Qy)(DvM
zrNHET@#6E8TyNZ5V1}i6@--qkOri_aZ`yC-F9K=iJ`P5++oTEv!688^q{-)yMpVy4
z+uC{_KZ+q(;q2=yQN`%YJLAuRFz0kb_4hex%u&uBI{^_xmHdY!w5LDhk;hIqyxeO@d)LaJCkP?Ho{$96HDpK+!RHEMGqF`MT
zYfgVdW`V@!0-o6?_6lSZQU;Js+Ll!0!yw!BP$h$GH{cUNHhOYFHb!nokd450@Q!I8
zWMd^cAsZX+e4(&UQuSHVgp|1R}QOkj@pOn-+B&nmP40T;O9)I~Ya0flW
z5`YDsqg+ojX4*27VXf0+^Yg9sIkJ#q6(}IbDL7J
zLpRM9O-#6-;0(qeE$Z}m!&KS&tS3z)dQN?%_uq~FR&InC2=juBWCc54WGAC9wExQf
zntc7oYl`c?hQGcx`j3$j*?;-Txu3_X+3gwfz0gikKiMj-)e}bHj8L2R*qy=
z3)T;1egMnhUUHVoaB9BSsKgv{Vy>ZhH+I#KUV>`9bP>}0d>?_V>4A5l*HF9xaNTR
zk^*rV_TwNE?6bFBhK--p`JpyC@aF$W;Ye#PG)ka7dX|DpzQSIkJhvG~%gQgpK8@&e
zCsl1cJ1!UxEd?VqRvE4|;WTE?;mv(ewt6YAZtSIb?@c6=G8bW+JOW0}FFbbV%L~RJ
zXi2xk(e;vPEmsQAc(Xh=!ee$HZg2u=_6?obTz>WYZzyTb)$gjE7s7mH3B-83)U1GU
zR~#BB-+tLv=LQ^1sIMeTNRFGg0eO4@=#14$
zO|s`w&JpIYuYjWdAA4T{W>--q%#sC~uo?EI;X%OeFr5yIY#{+5Acoz9CBQK4OZQ9q
zUAy}=@4XH*BMOL)j8C0$B8rN*Av%f+vZ}a@iYP9l4l?30GcYcrxbMs8f6l4pR@JSl
zTXpa2r03UsUy}Rot>x6&>YS=mr*QKTuCc&_{bH5Rs^bHamA)B9pmM95WpFH<`){RT
zTe%-UsqN)z`S~Ti0s7F0$DKo&6kDOxD@^OU_b-k_9$SSM{qFQ?c%t1EdYYa6i`^tsQPzwtoj$qB
z!fu^2zK<<9uf3%TG#$GHsFdzkbZ#oQ$S!+j7x%_p^J~J0YulcU?qpxUEZPSH%D%{~
zUG;kicBTXrh3$_lHEJ0O&AvZ^UHK$I-5)tfb};uyS9-hTWI4E^+a)P_l2zDPX1hc(
z5omBzh@|$VY3!UFVD^JG=-exRt?(3GQjNay7X?ON6hp1f@4-t!%dD&J2ldLXt76}%
zZ}1+xIi+N1y{wlLH+Px!r0g=Q)Ok5~mj^GzUde$GbCza=b)KOt#Kv{4FV#LDdtpnp
z1EK90e(VbjKy~dFcgNl}(3a05)%jL4|6U4JQ_nthF?SqlvBg|uO}3aDjtCSSzT7+a
zxEUG9H-VrW;_C0~pd4TQoy13T_1Afc@RZm~559IdTSIEsb2G&Tt78E*@hgPjS*N2YE1G|0gBDm^;niK
z8=Mqot37ViGWgGKt6^6@QB!TTFUSr$TgsW)cmpwze?*W!FQg??-oXQ8ahEpRek{jX
z)ND&JmHY@B%b0DQy&WT96Pn|zR5@hO{cjGKK?a=_QZ4!gg2wEEz#}EJXo`irFn!a{
z{c4}UT9v=`Q7yiiDRR3O^@hLf4pn_qun4K-(IC4}aXoftJ_)-8dgTMIm9Szu4R5NKr$Dcsf
zbPEm*DDHWrz-2s-&p^Gho(J}g76W=7b5-w>6Y>aGNV!hP>Rczpq{Pq~!(a$@My3sx
z)}4`+Zf7JA1l=jQ4trxd{7A!W$!*VYPHr#&*QfJ1=i~)B!l|>i=A3k(YP@qY1+|!S
zg51lTlX!%njBzJrPBT98n9qn3_Wm289QRk6_-Ohor>usQWv$9IWaY!#v*18`eG(sG
zH+>4NW;hE*b`zMS!fuAJk#$pGmsZCwn2`Y@rQ4CSLUISf*_+(X!L`rIs^aEjo!go!
z#s2I^YkV*Ubs}2hKCINojmNGLqnc|w$%+oT{}xH+nY$#W;P5>%%Tx&
z3k|W9TN=(u5|5pTN}!(1Ufp&jQ%}9g7jn>zNZ|n_k5Ey60Le;n2r2{hNw#s0L(WJF
z9m_>!-mW$`fj9|fBQ6_AwD_n1e`CpObY^$+4i1J3&%sd1Aw2jgN_cjJ(FzHnXGuO1
z?h}mm{P6L8^J57a@HjF|i#
zv>hZS3{l#In%uP$#7!^Bm&z3HhjdWf&
z7k5kq{%LgzZilIXB)ta#VGiPj7JYFJ^$}lpPNB}MJMRXgD7x;P(30J2V8Tr)J=FKCb*@zdaY{s4VLEjwC5(`OYGhl3BZ=w?pTW
zu16n(o^XW}7Dee&xloUr8WR4jRe$|`)F`<-@e-)y@VN0)lsj>NF{vtJ7l8YUNWP~T
z?lz-$FVhRh;|(+#cTv^xh+U?7GqkOm#ea>zA3;6Dx4_tDKyM;Znz2|-jJhmVOS!{>
z7)PS86ILFSi`kdgfCS|Nd3AG;jB^0D9#Mt@t;a?{tK51Nszc~QFUaCvKrt&wk+wvg
z-wiNy7O?zzTP$gF@H-1g`VKx(KoUJ=0+Pr|>@z1mOdVvXYXP3vos`S!7Vv06$sH7r
zpBZ#Nm(bBu2D+{!^*MBHtx6}3eK~#hHB^GAV;I$Gh&)4?Coa8nwP=H7^y%-%YySX}
z>SVjc^ZQIS8>7=B>d&d#WUJnu85XCcc|kmM%^$0ia8nh9P>F9fIBEw;Y~k8ydb1TG
zs}|j&YuvENs=bU_hWfKdR$*5@$y6h&c9I=*t}5pz5TPJSEia-%IO9yPj9&iC)=}GejWybdomP3OFY2r42B!cecp`(Pij&dxptOC
z#MqQK`VepM5Ais2h&UFWYv=_GxKP6VgTE&q;doCP;pXLCGx0`$e+7ugz$it$UA1Y?
zM!TIv2|>E_g-*Hq{NwXc?gMd@`;@;YALV#Yag_UtzrO;MV_=k`+LcOb
z#gXt9e@{LV@}A;Ic!$5g0wiQ$M3OMSINt}cx;jPoK`O2=d$MoAM@_@)PlSogxy_LR
zWv=!lJ3_sp+Z-ZcBKFPqIJTwpO-uIk`GlSuL0>*w;^PKuYN3*W*%H5vZ7>g9q!H95
z`@2Rby1@_^!~P_+<=X+&`A1!cPJRki<73z#g<5R+8Ck@cEpZzz*bvVkA${vi$lG{W
zcE{J_S_)Np463mGyL5YH{X^g^(h@i(G~7^cj6m`$N_{27b*OSGTL%Qu#r>6PyIP-Y
zr8nrpVM*N86FYhX(v77XRD@%+w1R)|P8E5iwl!42*f`NoKVH2eto4dmPpnMVYNHe_
zrln29hG4dV+f(tPlqxko*_d25S=$6ljhi8aSxL=^MQ}F=*Ggd76awl+i2a5c`Y=6-
zV}n7|+pWr4zUDbtxqz*964cm(O!T1*eyCD;7G#E;fDry=Y~6OSa!sw-Xpaq6Ho}#?
zZ2}GfZq+b=pWoIih7D+M0=R4mqBc5MskY(f_NjJ#audeL(V>8``X)@i1i^DPxB~d9
z`uMmycu2_9Y&M!=yLA1-bA_T$TzAV~Xxc7EQ>j>!MJULAKW_D@|L9D^OPA$=fL>f@`n6jty%3r1F?%B)|$g%>7#UXI|3G^NserJS(=G&ms8SMb)W3
zcFXxW(6+ketk3zlTuSH9dJ~DH%$Bo>BiEL*rCfg~FG%6<1XlqKVfN^D1DK7_n;esa
zYD5S>6>%gL^`DA3KQ#dc@U}{d0Y4ocV3w^mXK#F2^Hpm>mcNHk^S!^DzHJ}l)3Zw@&kWvh-`Y?-iJxw
z!2KM;|H0)By7~hACcM!OR+%97Y@}xQiSjo18c`g}t-j|GimWpheu|Q)LyZVM3uc5(
z7*bT%7dINvxP=U<%H{ET8lAgn8F_pOv>ham62%#LG%@UwM@zYtrPxcNwo|ShnDI>5
z@}+VthbWO!d0e`Qnoe}5*IFaZI;<(ORZg7i#Kcw^0AZ_&(^8s?rEb3RnM{2pu|^Zv
zhocyhi`)G)cB{DIrzmmDnZUkewC9!rMPR-_@VSeY5ty$)+d%>&k(3b_6GtwAv6MSB
zfF&e>J0Yck`OSXvng5;~1V=Le^~we`C1n__wAxL`;aG=NcwF9x#RR;?N&JS7Et;Ly
z@{Q|MENWNRMy5$%XjW>^Ou-E|X-)i%EAem*JKI|rZA`$nh;^#cw!pa{Y40SWNs@NH
zRp)#+`yqC?B+Z9P4pR_6#YvJszr#UBdw%%%)YD7wxr>&OqzbehBuNZO`pV@FgB39g
z-==HJX5jkr>^uWOFB
zlv~riSxMr#)5S(%#y6qPpYeCdAy;O`_ckf=E-VXJHsUAeaI-HbZbIZ;*gv4v_p$q0
z#2%+OIafIE!ccW|beONiS+Xyz6-UF^Svp9#u*7gPMG3Vb<4{-zSWl*fL0fxil5B1J
zMtBj6AOK(_)=TCijHOaagojdg_Oi*TJBLIHW+u4uM<6^!
zgDVpXnWG#M=OCJS4he<{ib4Ac7tP#I$AeBC9mVB99)ks582DNkEx}e0g(}G_CfO#r
z49U@(tjGVN;%DZF3L*4e#GwcD&3bZ&i5N_YSegVY^>NYwApQuo
z86(`ptjh?ulv@_ZO%j)#$cmtu%--E|4(e4*7;$|L+7)B^1ys}@w{xsEQKwl=*Qpi?
zuA`AA=9<~M0P*yeyI7ipTeY))2=1M$z1@0F98dFXDLor
z-3CvTfQ6niDNe|Fyn|HNw}eQSsULbzfY3
zMAsJ?kz45)zHZ8U$tc3OwS3*Zt+MKNc2hVr&hEJYcNd)9cOjm+v&&FH-rD(ym5_vq
z2Qz0^2od@$R&O`AoYXMM1K4+Oavujl%qY5&G0b^7E;3it2x0K<6oa$w?|v=@Rl?u>
z3|8vn{NFWycXf=vE4fB@Rrpe(7SbU-S-)rd-6%|O&-O{E)HMh+Ey+258!W`XDd;gvEWV2x-580xqV%HBXvl}Sp*b|
z*`j;aK*fmO>VM{-QnA^;Nk#qM>Zx(wDx`L*kJP8Y-ehZt@L-b=!$%GAT#tQ|&fRWi
z!4Yz4ISMK{qy;}kNlT9BdX~|iA3pB6o=Nbzi>iE|>YVm0IM4t1c6vgk%qkRKDkw;5Uv*XeJ6_2~D1$nb@TAnU%6Blu%1}#gL
z38{+~oY&q`Mb&u;uv5&AZC|Fbfix!6x<$K_fL(a4=?f_U#eFWuBiTX2QTwgOSx!%1+}EU(y{qDiHK-V^{uYEdD;l;;j31ixFF)JHEoN+XE~0asGGs
zb!irr&PfWD2OzYKHX=_=DGw=-;r=(;iG*cBcF!l--w={-GecFa!EI3Wm1G4{%L7pZ
z=prv?=Y@~C;wz3q}L1%46eqBh`OjJK;7NYV2RR(2&
zF-{%aEr%U#7rqawM%ab#4lK^?!jvA#yAZ~$Wfv~CFsj=!OrgwJhFbvYE?9<-BiguS
z$Phs`&CQ6D5X5R=eF8YdYKTgdW(-jiqb@_#Qts)2tRs=w
z39SLD#O%*&(~%jva}J^vGZZB$&o&DxOs
z$x7=ZAe?(HUP@jHXhmH%F!oh>Z05MjS1xJSu5PcW^w+K)snOZ}{*wnQD@Wlh|8T3m
zX&Cw(sjaBUVwL`rPlj8tsGWT}JIh*zb@?jnOj!*Hy9()bMlD00>{lUSS0=ZqHUtkR
z8G97e#Vch8bB=PqlSJ8F(wUK6te0orON~j>&U@w9YzBSE-AE~RlJ{U^WO=K{tRxSC
z`ZokfhvmT>SoVWsEXn@xk9JF&2>jWF9dfaPQ#4=r(_Q((C9+AV(yZYqE_&8y)ZzSc
z)D*Og^?wu8D{B3Vtl`)L0E?)6miEOJv
zBWsfs?sKJvS;!kn^-D*-0)c*l10yC=&C=^Uqj1;Bojazd3zHvWFKjWww3FqCm`+ZI
zkOEB7`C|i6UA4s}EB^ts<@3LFwpA_1v=uiIxvHDPxOVFwh*DM7C|z?Q`oOF+}<$;uv3
z^-BR{X51ZtPh@)1lf$@67{p*j77qS~4C|D*eSlOCl0u3qDIYl0ytn>lh}AIGI#Xkh
zsd|rz)mg$?V9T57J(Q3?et5Lr+*;RAt~U51%=S9lsAX`K-S)z+eBz_pUZ=vq116n{mWXsRw92nalws$ilM1
zau8Tw(iZInwN)FpvohaN)NUZ`Nz3!kvFp+|dI#o>tiKMbf>m;oI)Lq03G*4AbQHeI
z-;?jY9^O;jeLZjT_gCP)9tMW4k5xr34C*D!png8Xk4CWFnJ`KHWTRS7T1FsKeWhdd
z0skm{_buJS;0vYSr~N(o=*N4Cqu-YS-%PUMw{o0V}09Zjv)haCFhe|2dVr$OFO+yHwAU~=V^-j
z!}frfU!^-Yi?Izp)v!{Ap4{8$M7Ip$T$eqet%9!0!B92cb=eVWG1mo|!+ForHnB*E
zTabi46H3_dM?pDm!_UV@+5%KOki(hPAU6AGW2SP^+SAWHqtdEROpnv1pWM_7EG<=g
zvI6_;O-|rl3x8YZ1$FM>aBo97RM50u7&KrzA*&yZS%VINhb8d$aQNE~f0tgdrL(X$
z39GMgGc&G}KGYe4WZigYbGtD-(%Nhdx+N#WlP8IcP^}rm!4O~yl=>Wur!yiOU~O!S
z!<9|LbV)Z}eQXWC-PM4BNxbn^(wl6|zxEP4FuY>DY^3wTt#0<~h+?n
zH(ukH^3lb0gSa$S8%OOm3^(VE4S}YGd}WwkXCvPFht1LZo(tg#F1&-J?bL=^k)LE7
zUdL+V>?aO4V#A}Ab)rcCD1~hlt{G&DcGZzFQDcZY8flDAPrwa?unm`m4{y_hJ+q4&
zSJ%cXYfkSUtn{zPe=fy;F2jE=gw(zG|Har0J)H{+g!HD~8fmoZ?U{aeKiY7hqYLY-
z4c6h2&v2+##b8OqN&OpE>f<^;KThgKWqwa{-k%B=jkd=sSAkMuif?oK
zc}zR83p61o*j1nu+qFrEw}ZU^xTmoKw+P@RqP43bUpSl(g_}M39|+j1!jfgHGBOQu
zdvJvGsz&p97zzN3$4r^>)fw%ywPs{+M^1aE8y-(Z;fjaxe-A1-Vy*C#x*MUnpv>IX
zb7AL%@o#^--kz7^MfB7k2|jmGbq_2yjDJS}NR6KQ2=tYDlpuB@GnhnDCVI-mkt=%2
zQm(PJIZSd(XRCJ&`p(3F+vsEZt~dF14(X9V{8#}>e2%LvlJb5jpj95vB@~@d(O!_n
zzM3$rqyn-8Ozi`V=ZojU?`%`;+4w}8YV?%ZR3jI&Y&NB3n`&*$89Y^Mwr2ud;q0*j
zGI-TiN_fJ@aQj(pZa_dsuJB-`4U_Ox19P&gTW^UP(b8F@HX!^q{iT!$a*C^fYgOOr
zN+-}MzCt$AdBN6qiuECrzoYrY2l?^HC!xc@!W7FYon5smR6=);Ed?-$NUx@2`f7=!
zXcxH+Rej5h!Ug0W;}jLwo&Mbo?%|`>wzGQDGJD|uwyxoiSF9i8N6Wn_A&xIIQHdn`|!DnZy&ztI-YZ!I`o;*u8tY+ABCUz#9yF-0BGRlhRqv?r^f2=enVq=aujbp-%RU`m5oh)1!hnG
zNz&95>s
zyaP6dw+bV}J7i^gi4TK4@TNXWza>M%D}0tOB~!x(&ertJ&DcK(QN
z(**vot6@Idg`v+G+3ihC;<~L~u|l#_4p-v}$yl;
zHsnj2!fLQ7A=Pu@8c2PmtDh?XP*q*HWfn)rS1~W8(Sg)t^SI+DwY_}x0|uV(`6x4<
z4qww~&kx^E81@?kpS!54ev%WRa6~q|HWUw1KN3k9^<(15rG6~smdEmk#AYYDDzLE$
zLB5P!oP+v|jCh+AdGU4#XqB%`qB#?|Hu)nens0+GTuau7G{EF|}6y`T>1AA%t*p@>Zof^_n4h>BjpB*yq#YtbA8w%m-VZN>z=>
zUSYXYSM!#D*>NF{niqrB-svMgDQd*rR5<}E`4+GvIPinJZ?_#4XDW9~vI^P`V!LM$
z5Uyz+zpC>Flp6@fv_w%v9nh6#pWa!RMB=C%MB<#rr(oo=D3S2?F48@Sl@zfA!fbGesSrY5{1zljqil2K0R%0
zRNYR+XL+OXQ^kk#aRy)LM&nofJ)H^5FjaFYa0R>sP0o9Y+i3hRe}4rw8W|XFog6^F
z#TNa+`Bd91-c>6n30{f+-(vw(ON3($-K5=pcC
z;yh?0wR4iUfo|JMK^srYT9WRZpecx%n2nbM$X$rpxC6P0$80bx&~EK35g`GGG&*;k
zDFQYcQ~XF^Yq>TriG{e32#y{{JEz<-gg6KRi4_oWpyB@{
z=u(>`_n@@(CLiz$onb0r;+bu4(-VWekHZbK(Cmi;JRE~0v10fstklO9D*UT1Q3fo2Utq+rhs
zUy=J+sltY*^~$KgOVyr?LLOgj`VXk&*q6so>MDDY;=6#n
zAImD_PhsyxMBQ{|V{ub9cLTEJ`ZzL6tB$bdWu;A>RW8w9X^0=)Qi>N^_Vzvsh(`P^;dv^l@%t8v66Am5Gf_1Z}LN^{~QELs^#^Ub^+JLLe>8q@C=iW
z$=~_Y)w&$Pj-0M`0}AVI?!bmdW1Q~Kx@4?IIR(H-$1P%v>XjBeM&cXwE^JQMmg0GZ
z)N!p0&~oQeoK5u7aAtr$sS<}B@RJ3Dm1gxS*pV_45~ybpuuV*!0Mh{WjE4?tMkfQS
zMjBHy!{BSfVTa``0N6axpiU?0+U!80%_qiMv0U^u%Krs}jNh5qnv
z;QS&=k#JS_6T+WW)#0b^s=A&3S#Qy;zZ6xs04mLv_r43X9i-|cnlh@+#F9(ZS<3yj
zU)5S4u^<*eaE(12@PL1Mn
zE{Cg#%dK*VpSmlD7aJ`G$>BPJ&|S2Q$*~^V4w6HOri>h#SaQjsrQ8{Y92Vr3RN%VQ
zAV`)8ZN6l!$RSf^Li9E%4hnoVV0Dg1DdI*)V3gv&u!X$b!AW*^SW^u0fDmY
zu7RR83hI#lXE3BCW)KsEpvmMLL`CV|R1AHgowRY7K&|aA7MB+YWUpbIuI&#$+5^B
zVK@ZZ4&uT62nd(4f?rkB56T@|4DFI#iZ%c$)r7`tIgsS+or7XDMz~5vW{i>?Z|~x8
zgNO@>I@}~I4;&CcNl%6*1=DVWJ6;B6Eryt7J8_)7$-DS)g}&3p!-!r26}`>!`AC-GS4O-erBk5*KIsy2GfDoIC?fUou^9Xa
zJLy5JB)JM^DN80Fg_EACyNGy}9QZ*D8283Rm??U75KT8V4clij9WZKZ5aMSQm*sGXLB*86~;nM&EzGJWWomqw_;1gxVrKj1k42P!18&PR-ml!d`+?LatDQ+9C
z$Bd@7CNsHlhbKp`=J)!wharg}f1aZEM-D>X!O`{@e>qmGZyIa!A8;`OMk`P8pO~6(
z)v=f@aQx@czf)T&?{V&DSjV=
zzw47D);6X4Oh7oV$Gs7F}o2HvJ(I2E@90maBTYZCgOY6>_)4RJG
zG+^g%je2Qw#5xO#-KCy^7>tYqePk(ky!c9nt6CA=B(#G9+P|#
zeJptts`{o0;o|W8$IqqW`my955?Yd1KHwvO5oGxJeEKY0O8!e1j_ZoU|9l2e=sDz9
z_BG9mKP=yI
z$M-|kh$E_>@b}~+81LzvD1v>--(LZOF)&IIY$2a(t<<7#l3MJSPOb0z$K<2dcc5wn
zwSMF8$ww{T(>W@&wm(vg3!d~bEx6M+pC$$9!~iHor=HXlvXY8Eiy_Ttzw}`p>>rko
zRJ~9&f>g`=J^4t*d(udis|io?_g8>m42)6)+eNWgZ4_I;z6+9xpE}Jh^pDI(vkT&A
zw!z<%k7m55IGRoQ`zt^*21Y5GLF}>OR@kVvlPDqRmcGy_cawj7KFYl~j&iT@_vE7-
z?LdOE`AGG_I8uGi-;VzR*cG;2)rmbcaFJ2=n7Oe@{Nr@t!o&1*8!=
z-QQyY;xRx<5pQ>6!OKQH=3mo_mY|>dN~hoz{!#iUcxfC3pXcw%M?v0`M!{U+oALKo
zfPM^&QuM=I3%EXMquYG?CP>DA>C}3ae@s4Vy&{fUZ}Ru#qZaQ;qt^Cp#IWiCPx_eN
zD5ao!cuk~ArmlhGD105-L2n-JWgMW}d;{7I$cs=heY@qO-bmGBIhZx?D
z_^cCeKYwoph{u2^MZEo78#6XCF18dF1GawC5pa|r0Y1VmgQ^kc%PIbzd{W7K(g>S7
z`JL^drGX-VJf&ZToxjk(c+RkvG6Py}{pO
z0Rl5XN)dQ3+xDo9w7cmA1yRk{IyqnOAF_{}uZbh)JN-TR$jN((CFgzq9t)6@0aA*b
zUC49!ul{lQX!f}{ntjXPlaFS+r&yXjeo`on0$#l8q0tgI&i)0`)kPWR>nQme3
zNeT*?8LHs@e2vNR8N8%#bG>#IT;2&clvXQeO;620>UT)G)UH8piRa01!7jEaHD+=M
z3=<;%4#xk20?rU87+3njt)J`Nj1(b)9LOODE2~gosd_6U4yC)O!P&Oh)X;b&8J;G4U5*an039kF`gfV7=A$KY^dbO`iP%Yeze3;
z8i^1g)1`oPM|{=^H)^!!4@~5V5UT{AyJ(5n%VZ<8tsWri#oxB9j}l3l6VWD)T!)M-
z<(3CtNhrBQVzU!n6|{>9fqO1u+NC#nb`I(>u9#;FJcEjQvjuim(0XW^CGbKXunig)
z?@Hz&+)cVx2XuA=buu5jO+W%-k8TC1R0ei)5e|h5#4R)wpkp@M9ez^V%NGcLw!6EG
z_Wba1fp{;$=Ps%WL^1<~BNA=i4aI{5LLw<65GIaX0%0llS1}xs3PV&i5CpU5d_lN5
z2j!81@LUSDtqg1&Z&cfqeM}AUFOkCybgllt{BvL25nnlN^O5xdb`fDp|g=Y+%kgF9$
z;4Yuu#7{|7G8?}XC3jpee4bEh)eHEkn|k3pMtg2ySMXWsFijuMoIDL4ph@@wFW66Li0Yl$tkov5;kC6<_^;O#{xk#z|jDej%N6&|SKYa0@C@fa{zCppwJt$4_xO
z$G;qVjM1JSK5mN~N$|OgmeD!KLfb()MsTd*O*7&0bYXEDDLcrcinbVs52V-+t=z?ik2>Ba-RHz~L48O%|ctqCc
z#TonaA1DI&h#-&{i1#20{1L^0KXQ?fA4n|V*HF5$-}zcGr2U_e{@%o7lzer&Z;pgS
zs@p+4J&~GW>+qN6nzhkctu`V3^|-~a{D-lpK`RT1aPw1UOp$kKL?SKocz~vGsb(N!4xi`
z!FElxa?I&`{|0V^)OL0BfIGVJ#U=phK_6j=3JB8KnGDhSAJEy>%{w?`E(Y5}C5Iu3
zpQ6Md_j;BCj28V6a#M6)g3w*Gj368cZ3hX0L{ml(Of0zs!BTFGkt?01_+osM%1##>
z1#vT>&KI{oc30e*>FKJ<045cZ8>#q%W)IBvhOq@BY+V|$7`3I^W8B(g6GHX078gVH
zl|(-Y;@T)S=Yn`1vAK0V!cTF6h`6C)KzsA(hYsN;qeZuLDKpY2LFg`8MiA@Jc90-S
zG-U+Q#F9%8E#Ehnxo4X*t2uU8aY31pd)jsCxfWPOF^2jDkO|O
zO3)Z0vXucb*HMTN>^ngar+w2X|D@h+QB2Rp^7Vurt61WvD6!1hp1s>>&n;<+P`;nw
za~CZml=nj0K|(2!lo3i3M=qhXlv_6&oRf;;tTYb-XpSUb0AHI!!bkx;Ejc(ajXV4a0Ti%))ug=s)tutWSte9EcXDgqIVr4FB-y=L&MGZf7Q`EM<
zTW`-TKZ>aRF^5iNL~Ta^C`i;Kk}{%Z;>aaxmU2TVY7y*_N>OZ05D>Hfd;$4(4&oyP
zf7(mVlaRBBh(MyA`4au_fKS9eaf>TU4jAZE3F73?-J*=bqjCGADZi}FgMkSxX%
zqxg}_%dt?&;kx0cZpzDfMtec>ayG%|E?P!jE`YX!fl?c*)8lP1A;BsNB=@G0)~!10v10C}S-(jFknp`Ein+P)-9T8hPFDCSO8A(E
z#sRjuYp*w2bjy@7UA>kdbQdinez!u~LEPUb#n?Pq&ER$ho{92$dYBG=A!?ydP_{=!cN+f*ef{
zx{H>P_v4}MAbFQ)%E-HkC6~Ng%AH)2aU}UWWm^LIGU3aYul;if6DePZo3}6XkbHW*
z3GHUQdD-T02Hd7R5yg32HtIA$>s*MRx+@zu7%jRPUYQGDND#VVSruClu3RMm)X)}~-CtiknFw4MYub(LqU5Ei#`
zx0O7kM0R&$Gi0pTRNoBCPq>jX)j-dBs7F0^pYnN0d+^zpPye&+^&Ua?6LwAR}^!?i=R4fj|s*t>Ts^U
zj>JmgG=Jt=%Ghv5vk8X+;l|?Cjp^~x$|OWNZK}1?W0YI_w&Js+hR#izXXlVK!eGeU
zR(vkB9mId96A&(A0KclH6_h(F9_5lvic|(2WkTUqY$PqG=AafCkn2ihz$j_)_AYKI
z7CDNd?xGW!rldSr?xLFklf!ox9e!tb(Y+i7#_pn{r`frSZW(&l!w~f_0)BPzTZ+|I
zx_A?vfQ$c+cfHxKpaUys1gs!_EgVH+4Z`|A#EVSSCn1WdJ|b>(qf^2BN;!6Fk^c|}
z6U23MvwBCJZ6Q@as4tC(w|O_wEz(KAE~3+4N-?Gx{_Tcp&}Y)Xd+6RG8`&1uHtR#q
zUPHGV9Mbs<>wp|=nBK(rh)fNo;r|i?DD>93C;dJ7a#`}8v|N_C*@A!S@2@~6O9qB}4hFlW6J!E@V=sVJZPi!+5K!j#K>O^-=PqI7*)D@5x6=-jhbjfK1Mp`+F=vO9n_e
zT3W0kD=oEhl9u{gotAC?czv{-ilgNX{+@ia~deb25EN)FtO*P|zzb7B5cuyLsJhu#v`g>X*
zPb3CFDI%4>W$;@6uzaMNfvORtdYQi`AE|gx8mV&Uuv`57t&b-d1EUndx_QgsUH$?3
zNcSG78bP{``Frw_j`yUIF2MT#g1^W0@x)_*lp2d1`qU)$w#gIplSrQj_~*7qZaQ;qn78E!4v#F6`&IX
zpcI|Deaql;{Dbrn?%X)S4f}iY5svqy5iaMJ!3lqF1&GIhC`Y{XfYmB-&)z_yt#qkZ
z3i3U5^_9LZ@)G|beZ;#Vj(A)AJ^6^od(w#~Mh~lamRknj;_s~h@fZ-Lh_|(`qWh2^
z2|nW97f0OB_%->@H0y98L5qNg5qWg(|$UbsD6-UlL`g`(`llK%$
z&P5;Wwnf7LDMijMTt#=de_TGA9RgJ&teRu|J^5(Hdy1vmss0`dh#&(bl4kkE`Bijj
zKtOW$y})i;=PJ6zEUIis3kc{eXx284Hb%B2FWYfDycjNdKKu_`fGLcbo9J!@n7eQj
z-59bJzln~afi6C~4KWgO6W!ViAS%aw6CEbhR}Q_y{h(#=NG(%eZlBfIt{Z7Wl^k$5#gi<(e#^C62FB)hUb|*vMcdiLEEh($CkRdA8EQ7w
znuC>Q^(uJNtm0Y51{`*zct)tj;(ltQgFSE`k8%eOtFCu4uxg|+H8VUpJ+YzIT)w$6
zK0Q%eid~CF*l8!Q&E_tEDQCQxamI^cIU~6NYaDd;j=)w{>Rb%e(RL*fMHe=wYlD^6
zSmP>rR%{~(jVOl!VVJa`)vi@X@g!=i-543G;_Ib6%s&>z%mNKF
zTj5H@+hZUVal&uGN_~7%=-QQvr*QdAQ-Zp#$rA;&o8qkJ1!a(vIP4*Ggd`co&wVTk
z3p`}_!%)d_LJ&Wxp}Lls_^A66A2r(3V`K~+EG`fEGQsCAs)jUoc9@#k5^-JJW6-u5
z(maK~ZTBZiBxTM(nK%O7Hy^TE|5L@tVQDEh6v-Hp*qzv#AdY7LZu1GPggVrCAP4bi
zzVO=<@1>&t+Y|q$`0a^Wa#5K#4Roq9UGabs?F!O>8y0u_kj~<6KEvU1k?Da-4w1o6
zaU$c-9lgY8&kr9zQd=ST+(lK9Nxl!Xix8Q^q3s}%kx0sjjEN(c$XLpqkNIh2l0E;O
zn?YQY%2d~z1`#qxkS}x#b4V8{baVBl#>=DFnv2~fgd58<*Rq}##mijUP9|QqN*jKPlD3=-+m{&a1w<;%Lt`b
zy?~#(sTba6wC5IfWe$Eb!RIboMlZY_+78kS5=j}oVB*N77cAxG$StU;VwfWUfo3qV
zm9H6In!_fMn&B_kvNpyW&57!i*yeLx%leHdndUm@--%dOor9m^bdLX0xStyBxfO|`
zbACkdxr>(3IX{QCgLIBWQby;PICANnY`MQ&%lemVSu>Y1_a-Kz}#5p=Gn4u?vPtu_1Fc|YbP7+`QhX1`zH~6?xJP%)H9)NtDbuG4%@-e
z9Qcz=y%o>{*m^q)8+3tec})
zh_iT;256m%@lza&`={cU8ST0G7O~1%{G|k+yJ#5}e>t>mWpR_UC6Y3nZQ{tq*_Lvy
z+gDSLc9j55HrvbR3
zeD0!Ugt8572MMJ_Qbs6E9Jz$jQf^i*P)$W~R+ZYiD)M(EwKZ>Y*nBa34EhB0lhqi-6O(H2HY9@|cqGl-~(ch>sMIIe0(oucP>p%gfIREmnEKPu-N4MIY7Ma|?kYFFQk}*$N`s4cZQp
z7m1{dyqGw0$&002$!k?p@hRC5NRtU&zBK)$yVCS$eD&k$QBuLB_L(FVR;k5LQBs?`
z;Bu+aVvyWkOc1(@mYL@+hqi;{R-!2*wkP4HHW)*|3yz-0YaLyrTecve{ZbCqI^h#tbKWn-o_+ejwmz
zG`|Z9lMDpj1$7%cMSU;aq9+o4z)=slHfJFDkn*l0uX+^O0M^#paHV<6IB|aB$8<(^
z^AaL~-<@_GR?5kVpyVMrSG)QVPQ10NaJdoOxJu|r%bknP1Q9btDzAtU^*8626VyjEcA5I(l0{B<@l&Vy+k$bc=#4jHrEr=*
z!?<&Cda}A<98UH(=&D$$AuvHsdLJx5Id=!dKI!@~(Xu`OJGZ9C+jO6!&?wqFeYhWv
z8ZNgV9w6Gd$sNIUnR^yL0&NG)&i4=yu9+9Vs&)*NJ3I`{522?o*_U8Ve?B?Xkw_mYSN@CRy17L45d~-KY3R
z7#O=xk)CGfKE)%NkWp$F@=8qwT&8$%YYOgdu8vR542?9JwIQCxPBu~eCdE#_+13EU
zgvrG4UPO5x+)^&)iy-7th&hTAAA^u+<&ET5nzHu&xX$;wkOp2NxL7vQ`P;3Z22L4l
z<_5ve-d3z}q-nS4?IcRlM?G7x{ta|P`a(zNki2c87jY&uxQk$yu3%Tzfs&Ln^QmwS7r@+EeT(oKhR4?fH
z$UWr4n0;OlO$GX
zHl}LL_DrQZIV!C;0`T&qt`GuqZ$9WxT=!Z5{1eyRGDpCdQl7j9snnainiES{4*C?M
zPWVXa`dHt#o|R!wG}KoTOEe4ra}0`v
z<9G*Fl41dKNAgGp&}4q*)qp?o+@RnnOt0Cd6g-$ktUftfyBhu_S;CZJVEIg1voEGo
zBlnxq7y6(-6*Xw?N_-qDIl?dTlWM}}=U?=nczN7t&&#*sIKX2BpS!5)>cr+>{06kG
zx;p=ezis&!C6Y1=ktU8@?vSP20UkDxgzflBfi5uHbMvHz3dGzt&1fjdADgeok
zfnpKa6pw(mg9Lz~Nzb;5Y4Es4%4WoSW|5)tUMwptKUK6YCMHt2Ou%5g)p_GNMZh_4
z7BRoB1m=@B?gi#7yU#wOkm^N7Dy1OPoGAn@{bnh5w2^TrMDiuoIz?)OJ~ZLT*N2O8
zsGQM<-X_Hs&HVvdmM^oT*%7$B^fsoDb8V%-Et2{7%^)kr-Inc%(K&8Cdk?UsQl?}@=PTb&GG
zO3pq=k1n&1wj;w8jrLArizeQ$#0*au+y9D{!r5p(`H!UQEoLZcC00O(?0dnGm6%0E
z*Fh8Me-pLbv$?R+{wu$n*r-8Fc9{Xh&J3r$_^Bgz_fP2dk#|sn?2E8cIN4V!n<n-Ov>%)CXPPr{-|MdGxIR0vTjD9UBB)5Sckd)iDzYyJr8sYM6^Tq2B_ZD4
z#RiU8&=AWo{z|WfWi=S5SZI?nVA;SSBi^%tgWuT(P8|luHgM?4yMYq~-paQMCP;?y
z5m!j{iUZ8aoa6-$s90pn08+(g^aGD<7@Z3|(0>=7Li17rUxUL-F8
zgrb5P82hSt*E#O;l}p;StJ^Co{k5w{YE$S^_n$miSvgv3jSRQyn}(ssk=lxiELQ11
z`DDN)wX;uWXIabGPWT7xj1a^r^q;cN?JL6Rf+s2UWDC63sAWtFPgPY~A}#&{Xn|ds
ze5RJ;tNvq;LfMzg4(1r$ekakhyQDGO#1zQNyw_28ryQAWt7{-x0Gk-eLik79(-pY+
zt%jTA-PjoIZ>SrYl7m3GYl5Rg@}V3^_CrYacR-Tt0v}w!T$|Zka0@zYv2JWvn=sLD
z={$XSqA@xRiHw#@+%Crr;`Ap8-@68MfT9vjigTlJw3GjjnXPGmzX54YHYQr>U7`mdOjvg?B?C
z0Q-NSEw8brU8AR&Zoh`AorTD_GgCF-M%IySMeeF^~(te-gD3ao{(h3QjAq=$hUq_gAaYny6sBm7I=RVsoTP
z@l>q}(*SY>AgYekZ^_dT6tKhaKV^2)`9+<4#29Wuz|Aq}wvkaS;WnQTIzWU}%X&p_
zR4H?@rsG-MPCtOm466ZrIvGtYdU6<634<6cxWdNOQR_ykZP;;JGg-%|oYjrVQFwrj
z-T`84q>$9dG}kQ!Rjt1nax`H?@}%Y%w>I2nQ0Ev&lLI`mcM!IYrzhKRgCGcDYt?y;
z$r_L9QS7FpQ@e@A5@R!Qv6f6l8t7DmqsD^lr8Pz^gAeWY5_aViJ7E)`y|hYp(7Cys
zoePoG$ON#3&zK<3(#@22kd52DrR}G`ks~c?Kc%=zuE54J_ETqH=NQ=h*Kn?JFdic@9+zts&CRY
zB7d%-;yV2EN$hE4I`qm1T>W6hbjV*<9P*pXL*A2WDo&UqR65S5&-4Z1XTNm#?)~P_L}#gMFjDgr3jboo&btUBTHZ*ArTu^@I!y$E3y3
z8pB))c9^#Rlx~&k4%14-VJZfK?pH0s-q^f#WNdqe`?Z?^xNgS8xnDidmTxA|nOk$e
z_JgYN?$;lH6`1>l{L9?0c!Vfk+8k$neW{gf8@+OD+YODZ*MhL>f@$!*DkcaNSxOM_s&>JC*yW#9W!!e
zWThw%EJ;@qQn01LhGK6}+X$3KEk}?1t>dN|g&V#Bcm-5)#F^nIl~FaN57Yn+tp{Em
ze+KJS^i`uvwzwnk&*3Ah^pkPj
zkLE)^_api%O*o(0m>7pMtD9@gg2G9cObnV#2CC!ZY}c|<-&moIOSwjJsc0DvsZ!f;
zLKSP`nN{Wiios7f&3QQ
zRxRAS@i!e%4r)MepX${iNOI1+`Ou=1c@%)Y#)CIx$cJqO9?6LC8e
zWhl_j{B%I8+|CrLLuf=V$RhAZ%oW6Ge
z9!?zup4bADYql2fUIwPP2xGIvB;jWU-Psa4ddfi8m0<7P*U4NHET+3-E^?X$##}+)
ze_zf*l{SBopzjQjXn*+vzb^yil7dzOm}V{TdlWlUHcr9
zs7L0CT31;
zAu>D&{G-?mTftC5qjk3ZxY3oagW{qP9)z}h4!F)+s*#sG0#)Oq5Z(*5m~Dsb;|l_x
zTk4Nk3W@Afwkd$3qIWdhg8&h#h`HT-va>5^!funkzq(r4$~`P5SIxD-!nB_E`*Fl
zkU)7$#|Qu)$`)~&V4XQ(f{BsPgy}QFc6pd-psjNHZg1=?+6e12Y8h;7H^Q(hpX{ne
z*wbVOow-Q8(q`Dva(qS2uoOedQP^143=@0=W|&2wq-r8V?3p?61Q}vhkhYp3hQrk-
zOT`dNLCY9oi=bXvLk#;ChS*%=SDH6>=k(1r#h#fPg=%=DsU9XzIXDEh#vu|jp>D37
z=ng>*>0ggOox-k|Nw-YaW=Ce_Pv%}5gE4|nn+C|b){8UyCZVl@X5aInYP{L^T&Ts&
zK4eyA_C;a?<%ypUoRdtBEajVEgmL%^D94S%4ftpphlk0-pRmnQ$EZ_^Lt&Okg*c@p
zw@bnbOKqFH2783un!IDd{yHz&48h%OQ0w-bQB5ol3gHJsP)-$k#UMlQ-2ebH1n0s++E+eak>RZ
z5{E|`wT&C=aNKFK&A-9HQOLqD(jIO%w$>rQhYa=!TRZ!LQOjUDyV-_a`J_rU+x|s%
z&}o-7x>?X|Zk7uzHn&?x{GOEKC~BUim`I+$#xmwvXQ56ih8>|Qm^h(F%=Y&8
zbS9jQGxLZfD_GVE-c#HWvnBri3LG(GVCc$Rodt~WjXwc10e%is5B(kBR&6%&?QJbC
z=;`>X6L_T`4ZhQxC&Ur>EPqcv0`s2Y2)y3kUjYI$FiH`44|9I9k#!fPkRYb^PAB1&
z{(<^PI1xv}7y5hhk&yQkN5Yr;`zt^~21XU1CMItJQec367)^XH&R
zoZfZ{Q^wnV5bBlnwy|&FZEq_xgS_gG0wBzL$cfh4KkHRDHYBx?cCfqrF@r62cll|G
zyR0^>`@xT38_d{Pz)Beo?&pn8bo(&Q!Tk)hRnWnG464RExF3RA%)v$eU=FSrrsBD7
zQ-(n*`fO?8q5cn);~wgR_-J~l&t?%b5S3T0Y^XOz#%dGwk?OcSG*dZu8p8b`(>Y|j
zsc*u=l6aE^_h2AGi#!-`V5Aq@y$0nxk^BrH?@fNf2VghnRAYsYew(=tB-1IrXaDr$
z{LeDl2BAj8?(Kk;`nXrowbPG>pj8eLe(fe5NjVRH@e?VkpJGJr<=XO*w&XTmn27f#`{$q#2g*+v?n6cW
zCk)p~<)$vrR0cMVH>&K66~s6%gTvvic9m}YkxMwpjfymU2fIU>=FkPLbLmQzjhwGPNm(0Fg5F6U8H>v%7^U>mXw`Mt-Mar7W4^sm5z+%?62DdSC&vHKa!pFzq(H
z=*OPU-$=*b;EFH&bKzLMRRP%r%elU}2Im_DjBr{KdYpjc4ijM3pirl6Lyr`QPA4D8
zk=a-Wizw3rcZ;>7`kD*O#aw$Q=}f}?As~S&jBaUAg!?|Cn^m~+liFUcaOa#l{#T78xizSo0b}>wjQSsX%UH@tp
zvHbg4!}6Yw=nU%S5@dMJP=Q!pq-q*LX#J&5@TDAslu)KZx-c?wGSvHUPl(x`Qmxv#KYUE-
z?++}__jXd+CifwXgwI*u+v$j?8xLunTR$ntnXR8U!4QgW{Uo%ePbcTUgE-_T=NVRL
z-S#brAX+ES*^4=ST@6!>^Sm15hfWq-90LC8PGgcClV9K{dXt~=!3ZVoHLK}d{M?g$
zqRNj`s$@^X4|Mq`{KC)a_L>)KVmW;tR_f#OB_$l!~D{(Ghf(xA0%I4~L
z9kSTMvZUB+u&g_2tC5S;4y9MFz0|RAV-yy+3b>x=;6|7#UdgkduzN)$bBEwdpm>mY
zT}wc?L86h@`vz=g30MA6HHE?UQD_P5tSo1$t~c~LZ16>LHx|1`-+5)
zo-)vNCEbKB*PUK_L_4V&!wpWu+B<(&*8Ag0kJ(9>+_-D4w5Eb`4>&#nI7Q{XRSq~l
zg`GtoaQuZ)%Mej}q&#-z6Hzr%{(oc#bB%DN&o=J-c^%_A?m|*bq{vBj!p1Ve^NC;~
zQ2e^^NL@}=z`i-41O?Aqp(*NxN9UKokvhHY6ts-D{Up>Y>TQes64*CPL3GW=98xdj
zS$>BLQ0|Gwld`dwhJKYlnd+n1I#Ra5(U~g^KGR&I&NGzgOxc(9{Gr*k9=~}e_QKW}
z%~Wi%S#t>K`aKE68Us*MHe;?YJOkSDt$pcSt67cfplW=C=kZXB`C`bJEW$G!5ok;C
z(~EPBmyvyZ69>v5X0@n6IUW{zB0id7q28+sTVe^GE;yBupHX$Bc1OIU2*aQEu5~AL$r^%uXTkfCxD&=oN#GF}?^uX13jp_(YZ`JvnT97~@eF
zP1fNE>4bS-Pt5g(jwYP;Ae#_8c_uo?IGO~Ja^2>(6|OhD)!?YGla03CO3FDj=H89?k(Z
z$h@;ct8H3s_3I74YJ2}4XLkEas5D`a=S+K^@hJH4*Ac@Ltg%R!`;5X
zrd9iV=EZyuRE;=$dZ522-?=v4(>dxkXzulfNBH|IaITGkq0hkTjBjPN{NjA?(<+ul
zy{-b+8-5npQMX{xfaH1oQs6Rv*A}Q(*6+f;h2OQU?|5@+YG%XT44^VQG-um&YhG`7
zg~98(JJ#*%4acxIHgB0xE&SFNc`IG!#zw-vp#Z}&wLbK+e@Gv_joSDN7HNbTuM02{07U-NDx=IF6Mf}
z(3YfumAn#R?M+_JLAK9`s=nvrox}DqEgYpZnEeBOZ;3&k*oC|eEA?^H*%6VD%!g}f
z#Qob~3*&0K|A^F_yWa4@DBSS9$p@g4BRl~=sSEv@(q|~rj}MqBy}8>f?s*jZt9iww
z#E?t!WdjObgB#)^0^+|&qjDEjm2+%B!@oh>>W-_frKPs*O(beF0SzW*UAwZDauGKb
zN<2nhZ)o=FwlJB3>P_y=K{q0WA3pp574=Kjwz%GKmoMtf?&cjF3>Th-P{|=Y_$f+w
zat<0*jQ0HS@wlEog3n!46@%ovKpA)7LFRhHL!s>;F_1{gh=GYCml#;eMcz`Fib7;X
zn6J&=^TlCa4%#EdVcTABxIT*UxL{mJ7yx=^kJsX-D8b0R-f+Tb(arCOcrF?VLFg`8
zMl>4Gc93XDG-X7?#F9%iEai$`PMFF_(H1~hOnCBzrr4FB4k#
zp+g!w{VQlGen^9%hJ5c&B9=l9X`Bg%H0)O!!oo*^OAXJ*_TY4*`$EIWb|r@<`@m3P
zD%lJFQ{v3rb2Z`xcJt@Fa1+J$B?RYf+`O+8^
ziq(>*W2HVWe~#4><^0CBzsm6Bs8MnYbp=#%xNi7KWxU*V58pk7d>z|YM5oz0qjxXc
z3v2cQ8jZWCYR$&3cU%N*tJdru_?xaWau1n<-)Eelqd|p%Fyh~
zYgW=BjpK8WjPn7vDN%+3ZOSD9t#X@Es19LMdO;Ss%Eb&JMcNX)Jq9rNt}?{$EW+n?
z_(Tyt^puJ4A-gdqwp?s?$@N(ac(gL%jxEQ}47xicbo7*gt}C(SOD?|f?6tM(D4clo
zBvIc_1`x8iL|Lgse9_^uk%5i%@fs$W6Uo$T8>Tm{dRBG3Roe;?MIQq+s|qqKqUd3x
zmZ7ce5k=UQPmt7zq7TasI@gp7-QV1PUXv(1loPd|7L=svR@Bfp$yo7d|eJ4>u>^`I~
z^Z{=FC7r2t_VoHh{|mT@2vphK-;*y;h4&N}sM6=}uRx#*1H(Q27*61C8Gf{M1iOr;
zD$7Q<`Se{7jsMaqcAS4)zLeQVL)8e1o$l|+M={=$MzQ&%sO8w$FMVul{XG_-83QDe
zX8Far<8GDgqQOOnxRPc|b(^Nm{vq&|(=AV-%DCnCLA|1Gxj4;%eRH3D8_zi8Sv~;Z
z1g!;>PoDi^gFQ7DsS}nw`ya3kHtUG2(z*=1%IHMb$Z@eduYk4+#_qfUs>a9eTnDw7
zmxNs6OrE`M4HaS=q@~Zq;;Spkd!QVTy14-#&8V9fNMi!6rZkwQG66wb6Oc2SFcdG&e23Y6^4Awjl%M^69DZ
zMs>8c{OBW(I(GSy&sdI4EWab-7a`E=ciCH|txHk3k(|l-u}70~l&9sLYg+XMZv7@nE##
zLIO{q@EBI=C3A~S6Orq1pj<0sYi)FvKqRA4^QW0G<*i}rk3Z_mx^NEE(zybvmRCle*ZW$bF(
zB4}G(ZPVuw1cIkakx0s{wwX9`t+rXp9pGUDN!X6B6v)5XuG@%2jZudhKO%zranIw2
zen3V2@k1-fcc=_(Xf(ztfih&WXg8;8gO#i5bUhCGhuf_}dSEmtL`@vk*+b
zX1&(hg2^o&>KwfZQe;+}&FaiBYAQ=!Olkb3aS)I@mFLzlmSTtW){K?e4A7nsh=XOf
zMw!}21lWtNtR&-F
zTfa#zNw)tA^wFFAiFYNmmM&|mnqqcL-`tWWLf0QsbY-Irx}7d^FT`7D#D?&2_QXnk
zoZ}rHjuLLL7l|}opFyTwD(}WkN&%W+X%xKNYC9Y%Ih+&xq>ew|IRQgd7;O~)EqRcX
z{mDjqUIrA-$w>sCyQpfj#X2X?gtk?i?f1Z4=^_^zC)_!aNXpo3CXQS-o2{Io&4qdg
zQ8i0@%_4F+4$VOm4u;!A$f1EY(QZ^UKZ{OlU6&Ot^+)S8e?u|6vJ)Ad~5ep`TLlG
z5PklRFzFvKrwQ>+>sc
zbCOt*$tJf1VX~-^2ZNzgbwjcas)hS=tm7c%@BlPS8gxe(PrA}dn8a@?$6Hh=43eGA
z*J{4z!ws&YiI8QYINjU3NLeXt1Yzg+EAf<-!VZ%hY>C?;
z4)Ua|#P2L{XTiV06NMGgQzmeSd@&wYR5+48bvRmKj^mPi#}PER7B?T`H11x(TVk+GS;QAu4@jEk>zKKs{D$&#Im`b$HJ~=%xJk`KkNyE$~|2lixS_zZs
z0DT@!+q9caw3eP05}M0=txLzR0Kuirr=Q72w)vuctQj-vhd`e$m{Gle0%1lmbdVkJV@~~CGirZfM!|44z<~lVp_s%;6UtLUvTd>y
zDbbtsvq!fVumM(F@}}Gi6PUg*v%x%ve|XP
zP?fQgsAJVgS_0i#jil$pha8d;>1XoG3DP4Dqe$Jed
zN%)-^Nq6HD8Al8RYyfSvA@2t3ZL?34!YAcF4cMq)8$9X;90NVYWdaG@*X*2I75j&YrK+(fuK&2`05U7zeRf;JPhZHyk
z?n*_wZvC7VGdw|wQ?ODvCDI&PcJqgQmt-Kde@QT0W$Yi;vuXhS4g|nz0IehZ=gBjy
zBIlPA)JHT%Q9sB45+W>AkiQaNB@(JqQq^Jr)c{4uq1)(~Es`hW7|RUrzCpHFNUk*ad5=^%jJM^Gz7>Q(}o`
zuw#90C)$866#J(E58n;ax5yN<{{ffmJo2eitURD`q$VfTV8GXDq_B)QpQQS1vO
z@>vx4ommuT;1gLC^fWsb#gQ#I-ysesh8Y!yJB%*iL#_l+J5vc|nYC+TjlU
z8>oTwg^tW=i3c|8>&WyT@wgJI`t+fQC|UyHS)fZM0*mtiq?AC(IKsHqtR`h`P~%MJ
zl2Hn2#&Eg_An$_V^m;@c4?$wcAj9Ai#7oElk3HA%10F&UrR`+-BKaeEC$`_4+`+pM
z8dYZzW3q%vpl>co6d~$uDWZy4P`giIBFPq|V!*>OLP_mT2_}{I5_P1fJ{*HLVN*ST
zmHLu<@V|pHHdSY*XMqcu!XRUwlh0uVwmhAdk?^q3y~!71KtfUqKz0N^_$*ZR$-6SO
z<0yircCCYZIdplQ@R?pvRq$odOfO^xh9=dDUXfqq=?TXD6~M`6`d{M{&Ghu-o$2*n
z46zZ0h)7HW;K@W}dc^^Ddf1)g?_fM>vZ`mh?UH%_E})~Q40K(|@wc0t^U0>)(&=+q
z8SJ|r1gzX4U-EpV?3LX@oRf{tC~b^^CL7Q7rO9HzEK1u}xkbJYJ5$!5!*U27Zqzcg
zwmpX+cIA^>KBbR63hLkh*+JR39fKHMAYJKu!aX#r9qbpqj#pNX13~l+W0-d$gg_z_Yz%6#^%vwGmXk~wDVjR`
zKKD5_Z4pNyjeSZSWdTjQo1q*JB}?#;JP9SP{b*pgR%K)y|HX5THNkBy$OBVpkJT#D
z^{v3w3De{0sqrFJrOr!kLuh)FTRBjIS9JzbRh<~oKDH6*=95uP*j+*j0WDHn>lK6U
zcfT6|V7Avi_(YZ=JvnTzgh33eO@)tYWtTcT2g?c7$l}4*U5ynU#Rhv>xjh%zZz&s0
zLWxtR#|rE0FU>YyWniM#YE?H`5<4Gv`N}2j+STn9m43;_{U;ArR*u$MBg3uwreS~`
z)9T4$mHv}YhRiBtq{VA_MJrIpFLUVxUBcP_L}vihbkM1}6{aniP|v@i4#_WV)V`HC^RY!KNtrlg%7bvD2DCuyuQ?!Naj>fc1GG&PF~fN33)%)@Doe7lVhV;q!Xd2QL=^|AiQ%I{eO6K&M<>yz3+tWk9
z`30rUPFmPgZ*nE?(5|)(YnROaPovZxL<3Br)oop)nlO@uyn~S}=S;m~kdgdS0GS!d
zH{lZ*$@Jthk{QHhjN~In#%tBd>8arj)Aex{heap#z>i^`OGOvrrCT~?1eT=*ryb2^
z1E1--#M0aV18%h5q^nBA?Ifj*rMGxlBxEh?jk1N#_2oQ-;bF*d-5ws!+biYh8M2^>
zZzBT&3@ZWC$Pngvy~Xo?=0L|
zHX^p6lsEdYKJ6Wr*QEOdRE2n~lVIQ?%}!_gRia0D(tCQ;-;?jw2i}u*>jO(2!{=99
z2Ae1S{jCSEtEv*~EN)FtO*NYB;nqa8*}ihR(T0eqn{fU)8_I$nWnk#qOl`riVLwXv
z(Wh%$ac;v}d84Qed$8-y2QCEZjSn9HDD`O{N6d}a6sC;vdJEJmYrJCLI6-3C3?>gW
z<-8tV2ic4RtC`BKR3Q(s)Xq$SS3pPBM%oQbcPh8C!z)PMP4<19Cegj|KV^r-O;{a8uz0BRL)HjT5Texr=*kae1p
z7hX_pk5$?YT6Uxok_Tq+^#;5nVFE7a9383*G-yq{IxfPEw3tCfTk`QLZ}j1w5;a_&
z^zbC8hw?(BRWI|3)Q8U@DBVR>_aHKx
zMRGB;t;RC$iNEm{#Pd-5@U({#O_{WZCYE5yVm@4-`cG#5GfTN+i*bp>XQyBTFn^fP
zxMvckLVA-Ea!7#4;%WO(gmN4ak!t#|fL3|@gwPzqb?|~Ld;p=pr9@jICF=kK1e{Gz
zQof@t+OA}>5+f6^1akpik5A+R(38Uj;0ATkT-eKnc{tK&)+lH)&-y<^&Nys=Alrb`
z`0re|ZA|2JY|KLTxgUFF$0N>vjFt8`?g5gjYEIWOA^yhuWeal!nR<@7r)AM6bhPc0
z)GsuNeo_vugtL)iDES1omvuH`6TVqnoP87ZA%Na#qNXrqOw@Nly|N}M_Kn&YO;mvCD3o>!)muSwO!7+vrZ@RHhe_yaU8Ype
zgH11e$(>k(E%W?D4#--6
zwbt}Fi;mAz^k$*~TN6%I&!;8NZ3lNt+QnjOiqj(J8Po-y+%=zf#~@0q`MeV=^>NjhImN)1IuuLl+*HXq7kvyq
zh+Oqib*30{+NrUc{qd+F^L3vGp^{_W2S2IPa(C8!zG}4U)=jvQ@Ds>j3vB-tg3?{I
z%(~CNL)+@Q&p+XBbKOUxDYNclV#&4cV<~r>y6zLfC{inQinahKHQ{kjDaK&yP^N9Yfs{JbCwx1bN&XIz|`JbJ}}8GthbAwlSC$$j}P)E&Ir=P+6yYt3JmA
zIaMX6>zI&LpJV=CdtU-3RduEzeXUm<&o>;uv*|Bu10C#buO#R1ya>YTPwCW>J&;(M-k}|MxxT
zp1W1mtquLn|G@L`_N{yGS-$0b=bZ0+=Ug*~PYElXPM?F+RL*3c8ju%xVpzdXVvlwj^DCTkRO|97n&ZbmNL_~7mmH*8bt)L7PDi?W2dOMu4N@f+#eixC8CrqM
zXP$kGYU%;Q;hip@R=-%IYV`+`VJuA18(}R})|ZK?Sz13UJz2{cbyvpR+3}RqmNW=cy(v>#-Q^To{T&v?5Zt-j+oyA9HGswa!wY*n;qW$$2
z<`V2m;8VP56$8;YQ`sIoZrJ6x$;N>n_Koke+#
zX^g3~*kpKvS%6*zkLzB-c*HEWxWOLEfS_Rj$J&;v_BztW;T9pEo(ekTVqtbc>A}vPet{0)P6a{DoXV!cG6nX!DM%&<+y3B
z{@Dz6THtS)(K@qr7JiG1+45pmtGK`eT&NCXQR$2jGgDDc7P%2gZm3prc}j>yu4Rba
z-zuld8E1JaGr`41!Lw3}jinE~xB%6a!^us&62nPxRcbgXg;URPvRyETy!2b2_MP}}O;OrVt^{m9xaFvzj>cHi|;q9VcNw@g&T16!s$|tzvcaaqp76RyU23
z9IKlRLjM(g#xEyrzw|D#hV@NZkPP*qBiU-&
z4U44yS^@3fMJ=6!BX%W5K)Y3^0@u-{NLTMbm}RqjXS9%P6JnfuIc`@p&V6AycD}@e
ziTDK(zhNCTb0pK1PW5N-Riik)2mV+vlWfi+s5z4KCsH_15nq>18o|#?&N$sS5XrXr
z&yK~BJOdXKK0S@-BXmai>~U`-8%u?S-zkJA^gm@{sazt=5a|$N>ACwXo$AGt0iVHV
zBT)vy)xj*>Rp;jrUT>?TjIVZAMD>3DaH`iFfW1^5k*{66{cnp*v(;+8m&DL;IR8|$
zbwIm}3L}Sx4Mt*k?ahXoL?B9UyN%ip=y5~`X}22weHe-QQr7iqt0>aY+g7$;28u#F0)BrT3a
z^k-nwGHt%)@=%yi5P9~;A}}GgoP~fprG#OpU|_Q1Gq{%g+F%V0rSUnH#xj1YBCRMO
z9*RljG8TL>_zsHtOlN(NCWKSmGZ7d$+z+L4eTfJRU3ai+0DHgM{ENb2m}7j77peqz
zeIyjjq28>HTXVyy{-j-d`A&bNt5qVf==4XSq~En{>h;Yunx!
zn-qk6Rm*5Ht0?4d5-%M&~CZ-Vfv#@4MQ)o*{ParrJri0HI&x|P5&3wJEn~}}Q
zZ6d^ARoK!{Dv=0wrP4uc@f3Xy?5SZdeYEOX{Dj>VrW4i}X3;R9Y1sF47*Y5cx(jKj
zgByZzuew_PMgHs6Sy{
z*q^KmLy7k53#Wk}ufABF?S7VjLQOOe!|C1TY8=6RrJfe24{Eb?L3?wUh#qxUv*ONS
ztfO=AOr{nFlwZa4wv<{J@Z5!TBX}U!25#b&SQ`*mrPc;yZ&uIRz)^8dg3E*%9_$J;
z5ot=V0AxO<&_ZLnUa$hd`{m3b}=F>Lv6b^P&ETSzj(A?@59{@t1E@mOE{&+8D@8SfUR`bOD`OSPiARZxw_#5bt
zhqJNyb7ss?H)4@^cPu;q1l~d4j(Qo{1asL`pf3>|Fp3B!kpm}x0d(=1eS6x@1D>s}
zlGTZynmOqI@8s@WkZ3UUQ!bDjzsv!*nDsnm*1C>m2a9y=N#<9$?C|LS7uqIflCHR#
zCMRX$6=!r!u{YosaNl;yWJOB%wiU>4
zil^-^DorzmDNXB+Q<^iqDTYf4i#EsL5Z-3|pSC_vN7FRi#9(4Nl2);xx6r#JFKHSj
zIixwRNI#~iE&9w!_vzlXsX@}Rl66UXl%pFiCfVWY4MnPT!%1J%n?5hOc2y_WtanLX
zay3eF$aM(k$cj4o!%5kfz00dXaqsRnfr%eZ%I@|quLgn1YSbmL@#-^Nj$v&v*;!w0Gh!318%{cZ?oFqc
z1fQr*f-iZOh?+DGW}U{2C-Gt5ugoN4sVu#bi0c_KqUdanDI-
z!z-Qx5HE=iLeeTa$8p{zc}dhL$sy6fn2{;^#I=*IBfU$jL4L9lb;)mxl#MlkEGEE_
z_Lmfe&YMnB=X#UsCBhS`6X7!NlDtG{l;jj4rqGJO!Mt|Tb&hvwHHc7FqAn4Ru+8|3
zNpGlpuE|K(V#Eg<05-WRR>ZRW0)gUujjk;vk|#}&A8AU*yKuN((0?Wt0ulp~t!=*5k%&K*&Gu#HwznHA3hgouu-*7(S+Ey@UknHE
ziK4K$&%DG5!H8Ki4Ay&gQkL&CQj|PbxN>CRVU66ehGNUSXVOApkN*ZesyBjgqc^Qqw*jB9g`V7mxIFZVQ
zY2S_Cr!gF>FOBcwD7Nj}Of4>bQ*!B=TDjx{m##))uQf5M_?5C8#n2KOxXoM^vDB@|
zx`H_Uo~p(Lbg>CmvX-fR$|G;(z^Q~tVm=Z*D59KIL|ji~z}$8s`z6KqD~i+zJ2VQ`
z>~U|JIFY^DYEi?hsh1_XTO~_xsa13%9SW{pg?vit^lgZxlhs`4PxUhHPsGEg{TmS9
zji3QCl4A{QozyZu?A2lPc&azzPvx?RfIu7`8h5N^JQ-
z+@C)gkpX;0XrK?$P9vBi$32w%swK8kD9MR1K`A;J&xg+PZ>!RlVDFWJ{YkBYZGvF$
zM&df!WRbCLi(_!R?%S9O3Fn{H&N$8Uf2p}I+1-pkT3_x<+qVQx&W@6hQW)&8ea$&(LFM5HY0*?IO|FKbBLksR*fc}YU@v9>%I)eD;H~+r4NaRXU@)xX|H{~TyKE2iHGyz
z`7E(~{t`2hH4@`UA8a{v7--*FGF0j{BNN?q*Iq^r%5-Y4F*_L)R8Zgdz3Y2?nfe}A
zw7w%yQ#LkNg@+j}u)Z3Pc&*g%NpSGQGBrM-XpPBXm<3mbhc*jSQD1%i-t|4HOnv7R
zt?yLSl=cgMWG7$5gjt%YAKvU~?1~ZSJ?M8%P$xhIe*r}*GeKQ<7A*9ByZW)%RYcz(
zyq~*m#dI>vr$zYSX$ZyMD#N!j4v9||MVGFy&9@>Arf2Rh-wMs_Q_{>j
zyt)G_QpFnhig*nernz(CLZHzMZDLKbQkb03IwIYR5{t_tb7nO
zQzRd;#X+?!S2i-9!ODSiJdp+cYI1L+F%g4TQGAIFK7=-ZflJby-z@Qq`0`O
z8tIF@@+;s;iR|iS$^CV)WMv!o&BFWS);zMKTGcZxioT*$w%|&&xfWrNrvz^9#B1^<7|f!wi>85P;&FcOSQ=TdDRpe1cf$THg14le8=AD
zIUDE*8&}LanvAkC6wUPyuB<9*u4Wz2uAS@X_ql*mjPI6`uBttM9OqO#_agkOSXrka
z@xKcJdGpC*L87elQ~!Y(fn~LLbCqFj4ChV3!3XCgUlaZ;o~Yu7=Z>pB80wkfKfVl3
zmZIw$hyUP|o^E+2knnPfsk;mfFu0V#DODI%;-HpgaA_t}{zx>6!vxV#r2kaD%myQd
zj*7QNBH5=oM~}<)6&*^6mzT_trmz~$SdBoN__`QJ9>PC0jwAihig8F^#%H2ypRhbI
z^!y}?G@GsVcaoOt72udOnDud43uheR{5PyRiI!Q|V)4|bf~D%Osr
z=dSkNU_rLRznah*UWq+tVSzW
zL$l2_c
z#CW&UMOEnz#&Sq@u`L<_VdRRKsfIoQLugZrPo%gaQupjt?S1xCBtBa(r!-4#E>mgW
zJac#T*|du6v-g>YX7yy{$EXJ@B8;F3;B>yU0Nxr-(C!ULi)j^?Yr!Y3`$
zeDa`0NI-35fCD32c#dS7KhoCS=I<2mVA~_YCORvwm2tj@Og4?I
zG0kP8$uOI8+HOKfx*;TWc)#Pj59-Vpv;78Bx$yha*8eth#VyQ=leG`^E@9K2*YmR
zSe==s(GWkt2eT<2TB=lwHG1iHK+7#Io;gBI^aG7nk1-N2o!#gzS5k}JjNF(t(>oGk
z)(m?j1gjys)GvB#yNg+`UHmPw3w|Ur48JzYOM_{+F<`qv#+fAOtEwugLa`Jw)U$iD
zcb>BynpMOJTHb5)m1YD>BOns$1MLZJjAz7^_|geg3T!!^y2SaGx+$hxn_GR&1697C
zjb{@PGT54t-W4qP`CoJl*9>v3R$zl<}X2yDQuF76egkKfkCRJ
z1KRUc;mO*wB{kW-Le0^OGgxL0((e`8>%D-uY@ae14e~r{ca1DSeAKsu`~+X{!zM%A
zf)vemqWxC#=O%Rm%ktKrCzy!31}u0bIS_=S{!-I1ezw^=$SsrdzF
zmBTU9tco9-*P|5_d+#{=d&i+0D)!#&R=@S0_yKF<^V=2QY%r%Gbkk@q$V}RDXM>ql
zebrS%ITg~Bbj!xTmQvJ48XUl5!$z81unE8M4beb`@lTDOjCl~xV5BeV8MS|ttYhCY
zUoj-=#R1C9!2u=TQd~3SY^71MwlQszWZI$CFwNd#P6o%uOOAOig-xwgyI?KaQDc|=
zbQl0rC)xa|m6iecj3j4Tt>nxHImZfeybXY{U?M5^HUNgLkZR@qs&hXRl~LLX?^H&3
z!c!I4t%7wPxjoi4G@NHYvXP&sHJrurAjD0wt&5&IoWt?USe?X=nVUB|XI+cDbAfzC
zvlp#isJxMvxFK@0WU8O!ota0K7+ku>r3zIH8o%gDYN>=6G?oddp5+LrW;I|{?7`9c
zATulhSEde&=|Rf7=rXa27rGl^i
zUICirQLI<;N*u*1u1X!nDyKP)V_#deS
z6ttZl7sC#&*htxX#9Fb*xz9e`(kGaQvLfenWV-s2h#6RKdqaF3*!_yv^x=lnC6m_=!gq(U
z6$5)9@Ld)10>S=6&*83*jJ2y^bcf#99l_2-9;c4jMp4zEBWvLTYluRKu4hO316
zvq3*7vM~-`VV_7Yqh4yz8^V#UTsM+8^#{{Q>^;F7h@$Aloknb{3Png%eyiRTPxj@q
z0W32vS}5nLbUd>DwN(>UWchTSgs@(K9Ns)n+8eKe*y&RiNqE_r>5
z>xnB1?J+b2y-DV4)j_2`%=y5TSRX?gGGJ5;EJ}c;ygmvu|Lz=C*1_>GejgY~=Jj!D
z>`qIE1K~&?^aI5pNDX{Y2jGAs@o)gg*+=6WaR9L{&t$P~=?8KL$*6Fyw=ZBS9vCZb
z$fNY(Dny2(#T{@rnW6ZtTYZ^GE}RN%?4?SL;VzyG_Wp=N_+?6=C82C!Lp&3gDmprV
zjj%jhAA~U02nmO&1`%u3M}n9PHZqA03eQFvuLT&^naQuu>l1i|Lhwy3an5ff$=t#a
z`3RiN0D;S&P|<_fs-QXi;3!%F_WR{eAJeQi^+o!u&3Zx;d8Z3oq5^Cjx_RtCe}8|Q
zJaV8dmF{j2M>e$M%}je5zqq4A6s6CeLO`xzwe2YK^73NnC*QY=?djn=OHFq5bVB(-D+w?J+
z0mQm&3~*Cdg1eWoODK_I6Bvna`=G&zt-l#CY@GNle+I<2mn4g)aAR)}-*-&Qb_Z??
zRw8vzt`9{t!8nP5ona5QL5mOym5f3clz|valaa}FIo}%@>FtVy<^He?D=U9zvI7ur
zEE37$-uMu{$lW=h
z>@u$f#1_X+(N_8J`SCLdPmBWWCTuwf@b`puX9Cs`R-FqtgYa?`@B-nlR{}mD-0=;-
zZG`Xb0NhMS+z*HoZh9PWJ>irm0rLrC(fMkl3ENqp|3&yJDz0rI$@lW=Y0#?uiC3+J
zzgq%W#H(|8)rhN{-bl)_1AT&rlD3Z6;toMphajm#kkcVZ!F^EBAxP*D)$b5h?-14Q
z5LNCF)$I^f?GV-M5LN6D)!QnnwpCPXtEkdeQJt;1*pZtdFu~W6u~TBx1yf^7V^M6;
z8!DB;>PH(ebmLyPBakL`Brc-nz`*Ry8{!#^P4dY3Gunh-LtInp{laKh3f~k#h#(B1
z{9qM~&0Mr2_CCpOuE&_87BMDiD@cHY+F
zpweo4pNn4cLPaDe>N~DJgq^3!Twggtjn@qFG}0g`)b@~)y@Xds0Nx^;H4<P_3B`Gkd95fbm3?-a(2;dyTmcsyFC%i@Y9pRG00XkvP
z5rCzHL;Zj$gzp~wA^hbez<(3=%mwTv
zeD`F)t%T3c2Yilj_yWLG!sQDA-yl4;1n>mm#HE0FgquGLxQ%fBa=-?{t1AF+5`;NF
z_e@-EBzQ@XFH|JKWPK9sj^OkIObp7&P`#(5NGc2|K0{ibCk&hgxR9`6HDD8A(%FC`
z2#1^lIE?U9!h?i+)&cG#ocDP^kRZCcHSGD)1TQY}g^IXzVSQZU!aP3zTCp8>zpuDP
zs+650ZF>os^8gzO@%4Zt;r0Mv7vcI&z|Dj`U4XrWM?!$zgg-<8?-RtZ;I$~OJ|cK=
zjW1NhwOD;zT3D**uF9Ea?{)aGl
zE8rQz^Mu>B0q!LH>QcZfgtK(OIfTiV1CAtIO1P3BhKc`uC9Wo21@O`gzEF{7^wp;s
zW_W8k?J!?d8bUe@4e2K}Um}R%?=Fsp_Yk}&y1Sf^cu$3o0x$`PpEQ}mGvgTB^0
zXqicvupKa&koyO~1%$od20TZ&_a6a2BZ$HO?K^PwzX@J^;0qP;q0SM4{0?4uE@bdw
zV#NbeVDO;%TF}u-Sa=;^iGZEBT22_a9&jOH{dWOfgyU`ooJ81mC*X3zUw;bth#)3K
zsrzxI6TCRY7b@b=1@*NBa|$3_M&&r=d|Pph6d4?Qn{>TP*!}?EI>Pb?0cQ~YlkgGY
zmY)IcAbkEIK!DKrFkm#{$Akw6@kanD!o)`bM-X-s_7DdC1#l5z+GBur!gGX|31Z^;
zPmkm3QGyq@`9ek9u5*5p;a*QfpO=}48Luh+k_LmnN9_hB&4eLO02&EmTD|y5Ty+w>
z=;R9((OIX3-H`3!)-yPq%1~;)sAwe}2CesznuiFx_5kiCO#TJHPxvF@1H$g70Z$Qj
z{u|&X!WZ@e0tDe|82=2exB%eE9llTzcOvz*xd0qqa6JdgFh{Y3l{Z*&1xd&ge*Gfg
zH-z0U0rn6sco}dJVbZIBBMA4t26%|j`#K;^`00ND9whw!_kceU&U^>3hVb6IfIkzy
z_a5L5!r%V^@HN83zW@#=-0>0MhlE!L!9nvT;q2jn&l65-1gsz&<^vo_2#x?m33EmQ
z<`YJb0vt^EeiPs>!X={tI^lycfDZ{XCIF5n>^uZ;6Jg9mz<9#*2r<-NCagFNa0cP=
zBLPnl295$;NH}~dU@BqqF#tc|LBgYi`w&N~JxoZp05XJe_-v4NC}GTJ0OJXF5q?70
zH63s_VQm}WJi_VifYpTmAq<`Yc<*??p9#Oj0o2;B2%!@JF~Ylq|3lb>oeE~M8?cnhCgge$rUwY%XT6wX6!2)$->7i!JCqO(w&N1&@vdfd+7
zmGHQ2<(2TbJ-{pBaeJRv^tfr$>3iEtc#d$A62cZ*(UuzM<
zj|uk^{L28x65c0#NI3sYKtEy2TEN!{-#izvgD|=iFrMHG^CzK?kRv=40X#l{AGYI67C~BOjvd~;B>-mggXgit^iCR{EYAzA$27nM;Lw;po#Ef!UKfp)qozt
zvxFB3hh76XoUohl6rt%`fN_Mu+X2G~@9Y5liE#RLfK`Osb^`7s{96GV2+M8*oKD#BBf#~9rk?@E5iWTca2a9FBY^pY
z=)VAZ2Co}wS-%r
z2i!@R{40Q;F#QFH^fI<5W_!HC{%ys7>T(HRN!`3cZ)v>(evs^CYa{S5(<_f+zRGW_fU96Kj
zu}5U2@$f#a;WfYy@X+O8|CF=%->PQu&)qC0<%KN%s3?oICy}~h?lKRJM-6I|{x-S$
zPSxD~t(&`~ypX#G^KO9xSI1rEq48Kmt)1|
z9^$Ay^m;k&wj0JbfrC@i!9>N@w(4|F^LljE{5#UkKhjpnzk7Mtn}4%QT2>XmW}d9Q
z@&p9mF-wg*LA2x>pHg-%teTzk-0UQ6h3t&+t~WauRKd=LU?;QG7$d1&MDT3;pEI;m
zMD-w+h=*Xy^UCp|k64=L2v7(os
zJ&Y1*(HhVjIHOLqVd9nyJJA~D4-t2wjgUV?;E6U${xBj>Mup-$Y#DJgkdz2O8O1Ft
zsz4bVW4|NcL&OY1iF&(I2{YPAyn3+frulZGJ;xSJOku_BRZLvPoR!nnh~B6wB=Q^U
zC>rs8=_~^b$GeL$o*bb25W*Hh>;%kZUdPAb5(ya=gfPZoi;er=00*^az}b}(GhfZG
zLO2%I3J~CB42D^7i?`w*vL=auHslP2M>G-QBLxr5!EVXtPIbJdYIVHYrH%!0rE26l
zST{zl4X3SIbp~iu0jFZPs>WG9+qkvRx;DZbc((tOPvz$#{31wcvaMpn0>hq{bNM
zY?plQWWf_vvtW0nEKnMy-HH@W%9T1bd9h&SsB%20OBD=0)s=^nmv2?g%Qq_JWl?n+
z>tw1IFR4zP&}y7=X`C5o9Kd?3*uo_U_GL5z4)_rt*{ZR{)}4=&%?G|!?O6Szy4XCa
zayGA=SWab2Hp}Xo?Ubr{FbOH_^Odq4fk(5Q;-zXU4=cxmx|-a+Z?B~^0H{N
zJ)&}b`lNb+)m5|L%t~2MK`(Hkr#f-U#>t|$t=dQJDp@rndiEhB=Gz!Co&)(ZV}MUt
zL)um~^S)Lo^NKd4N@l8ZXQRgHvBs%cL?3HzJ+Y79^%3T65%WL7IAI(+8M-mN*L`8`
Njxjcp$o1K_{|j5>{yP8w

diff --git a/docs/build/html/.doctrees/classes/spatialpy.doctree b/docs/build/html/.doctrees/classes/spatialpy.doctree
index fab5a45253df17d87c84adbfb0ec084e793b98c9..9c5f3485497d2593094e052efbaa563163a1a9f3 100644
GIT binary patch
delta 1302
zcmb7^&ubGw6vsPhHX*SlG;Py@T@5O2O--T}6$B#|y%@TP^;D>^NvCiQ8
zD@QBRPY;mF?|TCTx?$LvNP(`=l%=VR0X@f;$S9HdYm!Nyg(HxH9WMoB#m=g5^pO~Y
z*sOr#cuwLO!80~1Y=}b`-A~utVH{*0_oSnp{rO`Lmu|u>xXq*8upEa;7@Af9QLd+@
z64^VQw$WxCtQkg�T%O{hIO1dtHvh3hM7(aHiTu@^auRk*jOc6EgW6-PZm;4UPlu
zpca-hq#n=Cf~bD+m&mnuXnK1fZFqx2llCY*2zWipXEc2}xKf~1>C}pFVUwI^{7z4y
zdZ8ysg6j=Ue&evV{JkBORxTW$N#|{|AmE2f=Qq?|$6BL~C!G{eMP1$fa(^|H_rO!9
zrImB+=}z6DGtG3HxQ#*C32XYCy+{)|y~t>hS%TJdxDkqu?9W*y+~k(O4-Mt&sP8=&9vqqkO_r=m}Ge-rCV_&MH;VnXjs)N1f2^r^8krVu5WOZ;D
z7&EL(sT9-oMJrjLY(A-*c|Oy3ksFaXuk^j*>HY*S^*>zRhAq%w0XAX7b^=9Jqio5*
zRdc7et$?P$reZ_P{oKN}TEItQ15qzS!0|EF%u^<~s81Vw;KwJW@otnG3tKPPkqQ>}
oSFB?83p1pvud6fTfd=E%KLZn_KR8Eox`}<%i$ZamWoMIr0o$O$x&QzG

delta 1456
zcmb7EOKTHR6n4@~Yx+u?)QH%ot+lqACaEo=xCj<2E}}uvuB3*^V!bm@~z<@OqoYRS>2V+`RP&8B4Nj5lJcGIcAjd5PO#)U&u
za1th=7!v_+#Ec0rxWvX`c%H!so>4qwc+So<6MW!AcYnzpCcsNwwvgxV{xo5u{B5`c
zbM&_jmVIy)1_~kJHiWp+{Ey`{RMF4~@h@sZCPOqPG=Cjx{2Egw)l{tx-Hc@fF(o94
zj-lnuYvxlWdtD{%2-jJwB+S!i*pgBEbm$?z7>8@gLJf#+*a!dBl27()J|CjegF96Tw86!CK^jg4Z}!z5(gF
z!)}{>kEZoS0Th;5ngtb~Vk}x%i!RG>ZKO*iX*6Fcqp#Xcr
z91?2RubvSMi7s|K#R|nsCLx{44wVIf{BPoUOR2P?{A|tAtJj&;s;j0Z5(X34
zvHXwjpB#50|E=c&$4yYDYlI$kpY!ylC51%OL`fPDO-r(5u$w(&^t@|r_zW0EM!y^k
z#sxz#G!!J!0unJ20aZ%|aZS-Lu8VZa{i>^z$T1R+N^(K5bjv;2*Q*oJkW?kAlXL=c
zl@wc}zuZfg_FxwjNWl(lo0dZnWMX79DD%Sf_9CD}U?*b2aN)X(l1|}*+D3up=)1oD
z8`b5Mt8Rr#cPw7gaZKzfmipj6cjU-HG~=jhCV%(XGZ(`os_%PMU47fKmmYM`l7sNS_=whYwN}4nxI8{yZ;V%3bMeaY#@NhMrQV*q
zV{Y9u=bk<{6t8NQ540LH&9TZ{d=S(atJWsRo0a<94Ri6~SiN1FYz>R&SF|c)?OLO*
z9XPaq@p3`=_IT-JtzMbiJ~LX52g>bsvo<=@
zh7sck52=l}a5O8%Cd;iB+=T08_3{+IS~)&5o%|RD@|u+itTPj@XqWe4(OmV2YN>iC
z_E;T^&)ZmSOjS0vrl6Z@<*bdn`51T3ZUk<%Hi}L*riMP;YysVmyyD=Q(duf>e967)
zk@9yuuzO~7sxdw@3DgmfjyG;4ym&N_w2_mvz4}NTc=bdWZ8ZYEu7Q82z`xVr-w=$X
zdOD3@J+EFp1E^T0KM)VJl3vU5aqF(u*g(P#*_b_~A#F^jr+G0t16p?d-pVc0%}T2U
z8Wr(D%Q0s?a**Q@#gjPeDQ8Ee>Se{)w^d``N)X~f@v>TdymE`C@!S|P1re_R-EG!L
z@rL51)8$%oEO!2o^-+m3E~$Rjb!p?b_JJR=Y7)E#qa>tdz-FZ5Xdj
zOw6E?Z77fL=MF5IZZ<|ID^sn3Esg2fW^G@!9Sv<+7oBzHqtA^tz@M|uiV~8>EBh;x
zjcM>-!%{&XIs_~8s7`?%+!U_!HE?!|sV-7$L2a1wkMG`71qA`=feKBbu1qv5m8jL2
zXdi%?VI-Pu%tT}5ItYIp6oO9!QLP=7>*E_ig}{7j6SD(wV+KsO8G#3nP<>jc#`xpX
z?N>#YZr#3h*QRaJ&Z{{c2sT+OwWu?)>_rdcr-do4_<=txHmo%V#QdOlf4?)Tk)p;5ST;H6GRK#Lg<18(fszD7*u;
z$;oK663w(K6El&d9~9zw#r0^F
zQ;+`qNnq?PkoV+xR4wnXfYFatYWqRjuKId}JFiAEVbVB0J{V-9+M!?e2r8La4O@a4klfhe@E8FoX!Tk-6&1pI
z%Ub}IAUKLI*o??`Yl3@+C}2Rh=f`yG=Hj#bwT7)O=A1~72MqvXmqKJXrU_35bO%BB
z2PJ!3H3)**GfhLl7g>D_jZQ-31T$j$g6)lZWqm{;6$E<~@w-*7*V?sPD;Hc+o@`at
zkq!(&??+G{y}sj}WiXBKO*CTcw_m4Abry
ztYVLV^pNdN<0bXEvMxE08an|hR!i(yst*D?iui!NV=Po|H<~)lOD>Q-!|LpK#~k{%pkj7c|M&Z(S>*Z4sKkV!NFNQ_rPa6L&AOZ5*pYkvmdFU;0gECDuu66aS9l8iO#
zZG9a!X8@X`-JYONoli4D<1@q3gksFkAS6KDX=}LVZ
zko4YLfVcYObA+o82v1f_)?mgiPil49&#_%xemFi}F8F6E{;#2eJwZacmimkjo}NVj
zIlFJ7yV+^bT_K-%HQa%G
zImDf{_T24M0g@VZxLgJKSRr!u6>JU2DZOJY
z1Hv+P959KiCi^B1gllJ#C;aP8V`G)+Hsq4)k+#Ypa@Ore1VEq$8M+E)1|eHeht;X}
z@W7_Y$;JUlDnj}O0Pco~Ny-ejX6x>@sDPvCMwZ&9(@WXmHQ{iB9(LM&(C&{
zXC+OTD%Z>VP@d%UZfQrl`Uu%3I@THB$D1Z
zKp4yra36>UI;eB0kUG&43jEI-c%so8xJI8*RHNDH_ync9b#JsP9+;?ACdc<$5u<<{
zuwqWd+T0{_FX~B}jkV}!V5f{iljULUmKqACM%Y%M%AUt8dt_VqkROkK_-qf4z{Dvi
zA8m}!rs&hA_+2XOj5ch5tZJ)`Nmm&jf>Trq4hf#9jNTPgQRMh18u%LxE2W5-8aiCe
z-Fv}lLzY$}Bi3SDF_UX|OeQ?V!vvaFTVNx#iQ3rQ^Vm^PpJq{ZH1Y(25W60)O6*!{
z3Sh&s=z-hrh!WUB+*YMqyTb-GjJQh;iV^6(+BeUZ*i|&fJAE)%VR=^LOCIKwsQ^+4;usk&5c;PUYbl+Lb?
zAg3T#5+G9mTS;)KCt5R8hvkH3t30_TN)%maFSub)%$YGrgRCEboL-xxs-soEIl6AP{o!9r#ombII53gC`?1i@d@=}3e=#RP0j4MZAo1{)INi03lsTvRd5fi=7kHB3V;;P#H7JxqHMYNr-8
zyrPv;=!y9%kg$gQ#w!AB;pN;GkYMo6$H$vG*P_I|bfGZ^GkvaQP)?e#nMj*7*$9kL
zX3h9?$Sz9V8e$h~_u@jc;yuK~e2*q(#rH$iWL9K*v_3g$+Dv$D5*ffucyW!ko|K!j
z(NuYQ8l8ij{6-O#0aB~CVaCBNap0oBanxXci&!HWk199M)Bvd=h!d-e>;|p#SW67b
z`A>Cksn@4G!)23DA$QvQXKEp9+Eb-hbaTv!c6PN{P&K4iH+r9*me_qB4kAJjQy?l#
z;1u|tfL8re;LN7_Y?RU{#9BCCV8DU9sg!O+H&tf&ZVK2Mvu_`S4drM8_9s9^5tYE~
zGd#d2pX9NTXdLtzXCI71X89BZ3b9DNE9GE+Kw*~H@9>Z2$a9SwLs02^j$B~hbL1hx
zi2N|98tQwlke&lU_%&4k7$8|lVW1v>cY)2FupzDu8)6fY@~dbZmd$x!i#P{`&*6pX
zZjwy5@HWW}B@3F%PW6n>?`%$@7P6d;D!r)FQ7XFQj++7Mn0?{4r%PP;bA#n*CE)hv%iUANICewJz0aS5d
ztkHz^_GwI8fUYHNKo>KWmIRW?eRMVuIYQzLvhElf?mb=L9iGy_o+{(gO-bD!iAEcZ
zNr}N8(qmA{$*xAlDzQEIXFd+@Si`~1Z}Up^zIca)Xos)n*;8;BSJzrK2!W!4`&cga
zFHP8+BGR3jJ6jZrRH5Q0OdvT_{j9tZKhZm)A*GOF3yTVUa<{a6QFS5rs|cSde=6aU
z$2<@$S-F=2wyUs~dMduNKX$CRghP8+eyjL#R7z>2u{ugjEi_$4HLBrVfo`>^ayN(#8&hClqAT!T{yXV`;C1A;y4ufM
zM;7fH>&V_k{(D@#%wrXqcb+}5T6-|&I4?}`m=-J~XzsyKRitiaCKm5^4J>b&|5Kc#
z&^;JmceS4<9?^a=@%-4;%RI!xJMT<9awg|{1YP1uaHj`|E?-*Eb`GWof^FwmSNnOw
z5$zko3D|?N#?{X}#KXHUC?0=xz6ZnYT<_JKtH_pQy`W~SQO|3WMSPNXKA$s}+!0{&
z{T3Se_Ld7)2lL>&F4z}wj`@;3$FP5gJ3$*Q*jJ%u^$+Z8*v{oBSH8tU%ty2oISt(*
z&V#w>8&FNoO`LuD){2v@trhUb)9`lK>aqut$t}qKPF0%0`z)>kT6A#9exh|956Ybt
znO(47Y4zES*c#tmag5^;D?2sn(C;DkM`$o~qs3DkE$E9}rqqp%7L)L3k&PC7ZRm;c
z6s--B5ZN)1dx)JQMGX_1EczLwk>a5acw$V-n>+*RiES6V@RD>@%Yt6E39}8fH3k;~
z9SVRi@z7$l^!CZVcd-me3m|g(?OuZlQL;Zr%1i7yVgNE+FhQlRLujeEaiQ8}
zdGuET`)qh>F-@*6zZ^L|C>Ei@7CP
z7F?%*d^Ciqgmst|+YLMa@m2Jlvq=KNnd>T$TK|BD1A4a0^cv_I#G>;1sS!wc9UKi=
z&XE@x?pO@=p!i6+I9{2WhWA}-EsZ1aN(T&ES`h!Cv>#e1vCn!aNBTaELMyRPc&h3i
zmHTYRMm5^WMiZbu)w9n*+xbi)|5;*+NlVr_d6bneRL>pfmcQakoKXQ7fNkj0V>T+{
zZlc8A<6#+c_g&a(iM@lWvUkHDbF$Zb>RBo#iH6VsNS`-Rf**ZsQmVFHxD{Jfl$wzl
z+N@fZZ`%1X6NOyFRG|4;%WH9pZpr>4dwPgPxw*>`{n
z*M7?kHIAU|e3l3`RxC-Wu_|$HEm5T>dc>~S6Z>j{?qRFN6#HNg6ALQ#V-y4!!qhG4
zwIi=DRz+bo1KvMzs&;T#c(rE$`BD^$y^9)gDmE|jE4H4gUP?cd}e7R(d2TlsI?Zs{q&U$6Wv3O>kh#zWUI*Xs8=Ge6g|vueLt1
z8_mH>9|?`t`ap^iIqL(Py!iy9ry+DsBhg+AcsPILE3QfY`%sfKKCPKIm5!4a_-9Ll
z%>X4N>-~?ah4_vAx=vv55e`U7CFYMx@s==w`F>qSr6KbbyQSEaLKO7FWcfE7E+9AO
z{uO!vcB>w%UXGlesgJd1Qg1Ua8Ic{smD%gh9KFU%rp?zB(fj-arj?v?dV&WujccM&&7^O|@_ZMj&oMj(P_M6~K!0rXW4yb9F_QM~icFI6Bua@L
z;-DfxHrYuLkfC8E31p7XJT9IODGmn+=Weg`d3Iz<1%w$s8AvUnv5lt0sRP!
zt(zH8o;9N+=(#9Rkp$%|q+HZTk((h&(9`7F^8{KPq>X4(ZQ_D;#0YRLw7SxLb}0}D
z=C&386j^`BEH
zs>B&rsM4WLAQb-tx82DV;DOs-VXA;)RD6o{Ooqyo81|z3h3uIIy<81EN!7zt
zKAERp1<#x_Wa+{Z?ZqCHZgwkz#}NhoEW!3q5)dydcqlou{=r
z9L0oo$xRRR-&Lf@a+U%+Ka1TLaLgt4serKw0pQrWEP&Nq0OX0Ju^RW(h)EDX2_RMo
z;)lqIa962&2!wwQF9R~sYnhZCvLfG!>&}6_0%!}*rWw5kIf*~|*+j+%O%P4&K+FGgWt`y`i|-Drw(>@F?B#Bc91zZ
zJ2Z2^d4XOqohw+au}gUh{hn!$yFr@SjxZ!sutT*FzoE}F1wugSL_q@C%-n!>-`MPx
z+y`gJf0%4#4mXz@aZWfMaD|XZbK4#btS%zXL`JNP;#!1=b3-BJ&fap93?&tCJ^_Z-
zqk!|p$ZrvFat>1bvkjRU5^$cH8E}$LTJdIJZKZPTuaJ%syGxKGeXg1I)76Q?%E5<>
z#S*t)k#M{B(dN6Mv%qNcok-W9uq=PH`M4z7B;h-QO)BX^ta+bj7&=b66Y4r+&5u$e
z&RCNdIZ&XvAiD}gzk4XgNJm7PU-neh!DP`L246*HXpv@`IU>?j
z%t=L>s>B&-s?xPq)CiF#aVjU!JlT3=ty5h90>U8l+1-SHX@^i^ANH^mxi7*TRC^my
zT20C|r?*knuEm+huMD=$W1wmQ+jIq!BFpV6Qkt6;XRgKW3&okI1dL4x0LRv40T?l*
zOz-Qlry4QY>ec{aMVz@AIT7w8HTRGmW@?p8x}NNzOLq+HXP}$~qD-yRApdZ+hZa5+
zm)LH9J!yH!%R++BwR;(4%IQ_2hx~^`kSP(660IZ1BnCT!Of~|%CjqeY@ahFHFm}GW
zx&W@aA5ep1^h4mVGq^mC8gT}fyvQ3|(rSbB!hCYlZz*La$U5wy83P;L^1;*h$?@29Oir7Z|HkG6nK%|IkCXfT+7V3&3I|(pv#qJ9Qm#_g}
z2AFpS5Gw@nQshLqAdV0jDQ*iprgQeUrK+0B@(vG;x|?8IpmKp=Gu3sF&v=W6B0fi#
z*qi+Iq%9(M3#me`Cy*hhoOUIw$bU$LoDv)x(FM_TptSl2nlS
zGtk2x1)1j{yG4-68AvhDFNEd;ZpuG0;FQe8OVmg!#0;yfte9Pl5-qXK_@@Al8GNW%
zE3x__F}elWCwmQw+p=EW7!hF$%(MsT8WdLLU%7m2vT})%cLtYO(1p-)(lZDh2VDqt
zouOrw8gYh}yvQ3`u0)i`{VoqIlN(BfDXe^^hhAj52rHlAsjB0}qG9E;kQLghWtuf2
ztW>N?g_Wwr8CI&&)2t8?RxOcFIYH$b>xs24Re_zZFa+HbyB1P@D1b;|l^=kr1*~#QYHw^*gD-2#mtW!Ar1ZrmII0{^_dHN*!Iw)^@wmB}
zwkvHZ%ZR(u9Lx@%LXH%e9ZKxu0qhn!f$Z+GP85uCe;7cl(2egQC&E2;;;yn+QIk4K
zaOBbsTAe?S=zfa54CpEl*Cu@id8^;~8AP7oH~xCk6CfiCNj=vO$$(Z)^o0Ui3B;6K
z9RV%zHz%OQavsp04PxT~EnW2{puIr^X^koP3T37HG3~By#DtBVjf
zkrI0{3TzQpQa2V<^6V%#8B8k5-2#K_QIvZ-a$H2YoQD*8ZAEs5ETyi^j&iwPT7hnG
zePz+?+XRSVc@x7So7?7mR6`N)8=iD(nY
z)@1<{j5aR}AXY@1=OHJ;9j4(VvI9<|n(0e+duY=g1p7WHXn~m1=r+hx?C?;-r{@ye
z=C3EiPUL7I@#k8<3_In7D-lKhLt-6OA|oYWN7zX$&IvoQoQIvyg@N&~ldgIbc8Yb>
z?d7Q+#GKt+M@0%d2sne+QHc}oXj3eja!SOmC?0^)Ez|B^4bsbYc_DG;t5gepzcRyF
zvH(Hm-;lAJ@IE)le2?P+Jsz-v%y$M>7eQtsBK8iH)*=L%!Rx3bqs+~^$w*QW=F4DY
zJ&G{Dg6tL%CTAc;J9i>4Ln6%VrBNKM6<&r_R#wb@fK-&&_XII=CNPyx*CjrA_5V7m
zuvTLAcM?|jKCt{fbQTy`K8SP;3aj!5mfAWhj?NiXVu2kSfEOP!zpv(f5&h`H@&}>g
zpl`z{oFV1m)QB^rR3lbw&X;TsdZGBs+1V^pik+!n2^HA)gFc-??n`Y3Lgk#|BI@2
zEsPuuAW}pxdyxa-R@t4!O0M2rX-io~*Va*6mQMI)hZ36(V7Jf-WOtW!qF`kEmjT2I
z-FP8#B3w62|K)IZ;2e`WN^s=T-sGW5_fzbAs9YeXP5KP-R7))2a324PS>Q#04-g7Tr
zM(yT0svxq1ur_!dRr13f*@_iYMGtqm)?L#Ee*wbOCqvWmg~Yc%Q7!cSYK&sc0))7$
z4o~CD+z@w};{iP^u|nJ>fz?Hbn@EWr1WztTh#S0)D#er;@|LdqyCB%oa{zMFLLADL=
zM7f7;8@>|h8Wa}h4|lb7R53tj#4F0W5cF0&L(#F)E_3N>`n|vDR!g*{Y*1ETXT^gR|(W*J$0XogzPpLIK)M}UE
zTa=Z0+i`%eR!{B`Uaj9VEqxbAB-_b`M7G;i3-L?(WQVXmTpq(628t!Wa~Q8u?Bj3k
z8{cZT3yp(&twKO|+8vXzHDHU4hjSy_isONt$hI6?K8GC>ia9rb}NE6ro^{}Tlke2I0U^i
z){biRb_3p_+H%GjdSR>Gtkw4o59}(#D^@Ki-#uGzmv7nHY&M$sM%EZLO6{n}`7;r`
zqg9)lZouc!MkkXm8!R>%${yI=$hi`Gm0+Os@MacG*L6Ol5B8};;mh`kHuQci`CZVN
z?My6w$#-(!fpiTDBlic_k5Rr5zN*)5Qe?ezwp|5n#W}PBIt7=YaHAEjf$d7u`PmxH
z5sCw8v^z=_C{q1L&uDZ|_;RRA@pbhN7(R)w*Zc#u;0&&LkvF(L1O_XoN4hpi{5KDY
zNQ+oU{*tGvj+KiB(_g{SYr(X|4G~EzZloe0Fgw+!cN+
zM#bG}59R=*P@e<*X7ol6(={_f9W7)=xxLGj-ksnUgGpv0XC@;>WipPG9{JmxlpdDz
zq}eZEV0s}ycwsUgVfo&tVDwtn+kc-*|WnG}?*z+MS(AOK4AJ(hi2P^dggX8FE)-(m1~;cd`^&7m`W4
zC@hnwt%c8fHc94#ccuRJCh~tWO6JDNOJaP_=*wZq4$>
z^U7s)skKDrU1|_Cw2URm2M;!ozdcD4tEXJT^X&R?hWTpAxQKjwDQK28w>NdyF9dNUJccu
z%epHwSYl~O{#0g7Q}K=f5{1TYgQ^8IHY1^B%`|!0tdvufxTDJnt$hJJ5DBeuPt^j(
zbf2YttOjlS=lUCo0x%BejIK&${;4x|D_v3ftj^kl82~BNX8^wy-QeN5W<{u?g{&yI
zcbU(UIA6vs`45SFmWPsMliN%~4>&>W>{s=rOxVwUo)^@kcaO}5;x2FOz
zd`61rz?mjD%t3q?`n99(+*I1P91l2DfQhgFeLb+c
zNToSBa<8^e4-^t5bK=wIhN=-0z`xVr-_Q-l`bm7o-l@j;%w(mtQ5osRR$~%&
zVYN1n&eSHy_a?hp=Hg||%0z8^E*`W~X@&}9zF3t|o=T*B0C>=gMA~7;fb4i8tzS)y
z(nueK@dsu0)?Znkj-~r+s|N=
zz+|n}z78&Lpsi>-#0)NWpn-i(SH_86>m-xJ>4^{_xnU0FV$V=?)OsA$P3P+#Pc49>
zP3P-)ks|;sl&^b|heQO4B42m4r>c(Oi{|UD!_jN`I*S`3UnhqA8Q9~m=2zP6A>`oL
z_|fzbt&J~`p-WL~q#E-drqrJm-sNqcsya(q9V&5yJp`wi34S1zspeXn71yfL98l{|_~8D#a#D@o*4^uEND*s^e4(eFM~t@$#@!MdR1r
z28Qs|wI{6|iO%P#g|&O}sO;^H_Sy^AM{7^Iz)`aGW-2??F1oTYP6emg1)FQ_O?6&&
zx?OhV%p~vX^iydU2t)2KQBm?Tr$~cG-dHfYPg%=
zWrKZndiH#~(QTaY^V0>ptF;MHm}+rbdn+}UD$u&RAXO-MexXgnrM#O9Qx9A!y16j*
z$gYIC$J@Dd!cfC1*}cSDP#j^>;&q&&JS&!%U8^z>sg53se^0Or;bK*WxOdp*d>q_anc^9P_<
z{S172qhAuD265tmn4<-|orm&dCf*PNi-iH%0KhW`=P_e9#G}qt3e&h=5WfQG;0SFS
zUJ*j0tKJ~AOX!6fc!PSL>jFHV4&dy(;^1yr_T2$6JK0WK$~N=f3tuTK$-`j!JMe;on5o@8e7GWRj30Yd4y@NHOI+b|89!AjvC(mAod=)!bIj1Pk{S;(c
zzz)`H8?c~pRSRD1rZ-?}^@&Dviodfr-E8cyjlcm*IXY}>aCe(1?rXCRC!-*
zf2HntX$Ic*CUqVjz%O^EHWuL9;P6$wR%LvB)P#4*vG3H&YDw%VRfT(r$PF0*qQ4UNVNSzs|0wft#H+EBMkpbO>)kaGywGzX+^XPLI6{Eu_TWDGbFuo9GS=tqea_)`wFDnf%)llkfcw>5oBY_HBpht
zf-US+s9M0np0KOZf<&7hKkLhkpZa
z=%}nDN{T({p;Px&>|m%IzJBTI-0!-o9)hIXsQBwiw}A}qvNp&q#bRMl{xo@eM*xXJ
z2VM+S3+TXw+I#B}yfTl_KAEWjdvnm61=h*gxlV@Y=jFs*i$yiDWaZ?qRcmA;tU)@ZcA@kvZA1d$?I&
zVmte`GEtfdR~&DeT=7iiA*zMG<~%!0+cp~?ZZea2WhOOUHHMg(+Ek55Uav~-m~1`~
zm}JMQxv9-Z&;#sro#-VO$bR6;Y=6D0{d3^qvKOJ?eo{K#N_UJ7i+}T
z%cXWN@iDEL>FGwZy|*=0ZnkfpX|yY?x!chdkLaCeyGrZ)f#V(B>cf)NMcy`1NOl}N
zxfprd)cFIJX=ZMlPH0bMZ+{PNz8BfsGICdBZ#lmxm2(iXE+Bgwzhz6a0_#MOZLC)g
zMB_8lleIDY4dEN)LZh*nW)lwK)%Gf{=UbS|(RgiQqC$l-nv0bE3=iypjpsG--hC%j6&>OLq$r73NK0WtL=*)I`7JV{3_Y9;PgOk}E}FV~2aaD$-C6t)sXH-feTOu=
z8}=lM$tbm-_g)Xh+Ta5D>DkZw`S1?!_f*xn$vy&=!;=f_i%@-j+`LcYroEx}M;?k(
z+yuo<#g-i!D7Y*qxpL
zRSUS&;q5SQC(|SzVXP-(`4X#gj%pSy`dA{)qECWQ*W-{1FHijA=7-_a=rz<0owL^gB
zt|73`N9MMlgb%)o!2ByM=2ut6D=Sme)pD!Wn!968&CAO<)pGh=iepGRqHy!t0I6J!
z-SJ+5W5>s5&xZ|(w$1Bt$Eb6Kj;pc~X|05ZrSN@fB@#jsY(pa|WHI|2;xk1~LI`IP
zo)Eef7|0Vsbd`}166B&*UMoc?pjPJVq$>c)H(~F>9PVqsFXl-hwS8gHl0u4the%RL
zqj!EuA=SW;y2?!osan!Dc~U63t;~h2bj~t(Gsp;emHWl2h5kwkB_rl(0W&G2N{N}o
zD=R7Fs9`6CR29kVRmmNb&2IxH*%4B1Qs}Sgf#9Uj2VCvvC51%$#gan*&(+I3l0v+5
z)9dN+qRjG$H|byR=+;$TB!v=%WUqrK`zI-sC`V>eD4{)-6nZ|4r58z|pCETdQi$`5
zl0q*))`cX6e%6Jgkm3yNf2+?%kP51|YZEni89Ty{ZeUWW2A|yk7^R^nGv3GS0Pc$8
z)l`E62Wpd((O7w=gOkFl>U0Y$Q|gn6sVx-y~bD$@C
z2C8Qi{u2a{&R0E(S^zNa4DMCw<}M6Xksf!WHPA<-PLCb4rx^5jHF#ps!!J|}5j&z{
z_&~ncoV7BbRS`Q%D^MzD#*X)3Y(*tssHFbq=>O!l+^|i`%*pYlIZPTVhE5VnJLsW`EX|kbtgeb$K
zDqy!WoL3(upb~2b@JqM=6F`r!nQ;f_w!~sd8*9LG+B#p4I#Y`I6WA)87%FI?9o*?%z`C_32
z<6x^Qq%j{9FBaw`jXnna;z^@>@rrg4(N$K`h$A4Fj?A8H*u?W%)lYJ-Sp6==TjnEz
zxa?2j-mhr;oT81cY}%?@CDfdECTnEN^t3ofztW6`_|XFpHuzs&gjXDs^VG7>uh82!
zvs6I6Hg)7}5IS0KWT@S&s7*lX{DgQpCtXgo@~85iG#UI5_^Eel=67^i>aP%gS3MO!
zYmr`A)EOX7Ed0LmBq#fYrDmU?x+c>eRKs_@cRf`7b@e|hF4lbyEIVNx`wccjS-)iG
z)}iLO_^~_YO_P?D56=@|NP^Bqk-0@`DJqyF2d3ROc0(oiAxz*uOrlQ&q6?+F9^rVv
z!D0D&=kbBnMMlWUfdxHVkqrRFnOUENzEsxd0nnkYW_^~kuffhNqDN+ZxSmo>{%xW8
z&R5`vv^A|uHkaYEyd%*FIiZmo0}OJj+Sae!?~SB%xQ4Ytw3jR*CAYw;b^!ZyH)iaa
zh%f2}73^2q208X*?2udMIrAG^G7@sc*E>{pi2V`z@*nCfM0J(z$;;}vksC&p}W;3x0MwHe_+xmlmPogD?6a@ZB{6y*m`w(b5*KAp@M!M%MrohS=)`}Gne$zl+^x^3!|)^VGkcoldJA7MFAnrB
z3o!bij!gu}aN{wX%<%NQRI?EU$zibrZ4h
z$%jD8C!uKxS~%y(iQFY5;sq@yTcCv>H#c6<{6sJ!`LgI#8nTH<1|=fN?81Z_-@?{7
z+&ISZh=nD-gM6^gA1;O^zUgQo5KH_N9xaX~J`YcEEP+DgSi(6{4Jh=xgCXTZJqSS%
zOCEuiPLF&69!VjHYd66mA)`E`hi%OcC5SNZj-Uc|?ZJk5SOpL`gRhCgnIUi_Nh2~p
zT}F_IC|_vL|@EkX3_oek9+^vpr3wxt%44e!ng@I3o;dK=Q
z6KEm~d?)f;Y}evkBusHCGL*6s>>HpyGE)xj54@wExI6V~oPl89$;3>ZcB;@O6oeAw
zYvJ7~cn?qICjx6L-Dht?I^gwwL5`du{0QKoh=sP2uNDXK+K5p_@ORBLpnrJqr@RU4AZgCB<_9=NM
zg-?5iq3=$54b)8{1{|O`TjS%@2zcN0Nm#td2*tPsm@m|=QlpjAi*`rpGC_xLc_>D@
z#H)4R@Kn_^vPEC5`wlWgd$lgj9PxIYVovI%Emh*&*QH9=TC#uOwmV7s58U<&Q~rui
z@yXUBZgnX!>_ZO=vga9eaJW0`|9M!7+!tFjQ0+Z&m^?b`y;Rk2p=y6k{(hSiOTo5T
zf~o~<^Jv^V)o9lC)!;ZtGD+o_T}6pRT&2Lyjo5vGxC~y#3K*LZ0FJH80w{PS)s+Fn
z3McslL#@*w|L_zKEzhrBE#_*}b}@6^fZRU(M|hs4WO5(O#IrgpCkaR%q?lR*LSeKIeFf$@DZbY<^F
zVH5@r+ThQ1W}hHWCMtnEmH0Ks<=rXsI;82m74W~;E9&SfMcp>cG70MDy;){6#2WU{3)Nj**KLotacAOyz
zgnLvA@n7^q0zr+N79WgvqYf4;N|`6#%P3HUb;;1!$8nU4u$*zMOWfI!TSBpIyzIR&
zg04nxxbcH;x%ehDjqVjbgCH11am4$DW_VXG&b+k3kCz5}#8*<974dEiKR{a?!orim
zEyxBdtWf+xrTy%uNL`8jSP&^4ia(y~Gc6}p{~%%Yyh64>KzQ(AFd+ORQl!)YrqTT4
zP)Q0A_-v@psyM8dj
z5~1a04;2zRUgWPQp(ApxkeE%hWGR`1j?&Dfv&w%+U^D54l^`9^aSxCi=Rij+7w_fc
z6>YJ;6|Z^&&MxMwAn^68j^Nq3Md6w1wgZ4RXw2BEMOynwulKA{6;#3|xntVO9l-Bw
zw-f@^UZh%xU(gRwEg30?Rt8v0Qf}t!>)L%|T_d><5i9>;^6#xMdOOpYyJqkv#{;@y
zO0+0m=6+pZbpb9DVX)VtTowUbnz2M84RgOGI?9hh<{f6ngys~yd_Ih!NAU8q$XEd{
zIjacs#K^Ufg@Kc=&RQ4%2V*S@1l3h~#lD6#l-O4UDbg?dL1f?AAF=db6PBi7q#uar
zZz+q+qJB%Uji&yeLtnNz>ehv7Ct%1=kgP#rCjP|#*-7Fb1nf-v!~HHK{g*#7e+WAG
z_%e*a1Ro;le=s%TO#1U82beOG{wrv^Or3u&9U4-Hd?f2i7{&q{Og&eICvQVH6(xF+kNtcz~)N
zh#P+x(5iS3Q`)ukPq`$^SM#KQRhH+#jb{Qc@^B-TbKE$JSA-kssyDcC3!lSwbe7fo
zllj5M9nB6V#Vc%714e2RU!FPsVG77Lr(NFTOh@QJXJeEip!wwe6|Rr
zsMwN1imJqk6jkXd7Vrb4xTBc^6yY=^(i&Wuplw8H6)7=ny%JCx9sPa3Yp-ocIL1BAiH9xi~S1Jo(};kf&Z-Hy`va
zO<$v^yH-(0S2lHBIK*L7@{*r=nYid#4)cALwYq$Jd#;Rg&NbCi_>m3|caYr4$qqLI
zlXb(%o*o6Bs(t|`)hYE<{QN~ist!IZ^Z^gIDK2opW%4fnfQN*G>`$>7#Fy3N)r4c5
z!{hUav&@`SUYJi=z}tl``plOAlH(h!2p~BI!ps?~`#5XU50mIO0MRz=$c+GA<9I;F
zDOLnaJ>n7Zla61U=KPuzR
zNf81Bzcu*<(V?6=4I~zyV81nKG;h8!`3-D|o7EAB*0w_qKvcJ0?|1;m-qG8VUvspe
ztE(w#9n7&G!K20Bmb@RH;?Nca$KRGrjS_JVLA${|bLFI3C}|J$!kCTy0qTkOB0q&Osz-dQP?t5hGR2Z
zv+%i#TOzE)b;5ps!8g%u^iZzHVWthEv5KXPGpG?~c*=_mrwE}YcsbWn#_l~bKIKap
z@LTC71*jK$s70DYfV#<3RrhHHcbKqCpzVCdhyYbFCKaHn5@&#_N>A97C2Yl*IJ*v*
zGPb0fvKawcI!cQcLmtKcD|~Jzi`G76
zEgk|gJq!M~9!)n6s1GD66uef}h5YSPFnyac7lP=gtqe;A~3LGND2e15+?>$rS@0i(t=lFjQw@N=&|KunD}T9Ba!C<6EC5v
zxiDK|;y-{6*%PmAKLQg=vzC4;zkRU*T>4sNc#Z{{EkJJG0u7e)1)3SWq6HedvX?*@
zq1aB}&bwT_*amh#4X*)}C#Po%;q2rky$k2pz_5CeOkWk@!_#sidGG2y(uE(?$Oz5N
z3A**C&J)K!lyE!^
z+X9YW34D+5^U#fN#u13^exztnSdkyGot*t1UuAN_e2FipZZf9_RR@LmPCJYrf#?dxxA9EW3lCY600P!0CXdZVY;Yhn5b2W%~8K4+1|;s4bA?
zu^uYWv*DR5NBQeX^oE=(B<6e|CeWL-Zt1G>9}?(II$^rab+Mt=hdOI;~YyVOj9TBVo*)oz(w
zej4z|o)>ddptm?4&>@GF0&NFY7b(z0WUPhKTLct)N{Gs5!`Wm6DL8vQjHpL&_I1c+
z0cSbm2wXh{c^I<)`zGVVuUuQujp^TLr4!@YaA?84+WtyiWZ@9J)236GJjLKauXrD^!*}IS@CH79i8aXrhL3E${5EA&?5`m}Dv>%x1?=H%u
z;m&fi3=3!Q{a$NH`eV?S?K*T%fTLc%fR(Z}IrAhplvdD;^JUL~^rYWgp{@zdL>Bb()QB?+%8MLO)7%lDK&cyn
z{@6n$vR!0Bf8eRw0a#@}MFwc67^WE_u&QE6DhsMgoLNv+x;9kyN}6%-Bj5MkqjARW8Gwxfo{1MN9ba40*sOv<_AEHK_Xqgvvik83Np;AN3pYv4h
z1TB9F8K9x%G(!YhRt!m@WmV!t%c?XO`YHo2gqE=%9Z=*#PeRKd@UT@w%c%H)X!(r+
ztqQa(tz0^;T#_YPmQ#STLkC*^0nm__gT``>mIqIkXqm2hgO+!4cqs8>H{kNtj^MJS
zqyxOXJ{wZV)`#Rp8ZaMjazr9#`?j(Kg3ONvS?L;X&T}D<`O&I{_!WHznI*Se$B86R
zw?~+H8*s*+1amR-WsV2*S<}MI7Y9}sm^l#?+k!G%1kAj~ui)9BIiWuVn%Bd4dIXxA
z$YcSUIok+K4I>9bK=YIVny1PDkKun9;r9|bFL1BQr?A_QFD3R2!5%panQlebX$hbE
z+INu1pPGog=lJ;!=*xB;7S|+xele0YC``I<@$;KK1JdE*tx(sApWi@@IPo(t>J&f!
zorg*dKmV<#YA5*l!^i*)Kc^WY@Uvn_3O}n7Cw^9?J;u-2kB%;K!6@P9*Lv8h;b&C*
zK>YlIfK~;5mR2r3S1!pCKg-!b*`WhJe-3EK!_QdG@$=GCBz~r=-r(me_S5$~H;soL
z!R(m2lg%5CpC@!yM09|fPj*lyz9xyIb04uM&t)E0r)p|<)O1D=`H>(FU5U-PECeDy
zT(uC-^$|qYn4iulCkI}cFQjSrjZAWKAN(`_VY2Ztzyy0r%SFRyIv&vHKno4853DZG
za3T|S28w49(6Dp+cp?<@YzB0E;*{ou^b`<27KYLzApB(HuK>cFV}y#1N9Kh9;hd9~
z#|xa&oYYn7#i~d{iA@Mnr0X^fRaYGx2j*=1)f$PjV+m(_jyInQec8roF-+pkTac_l
zVKjccsUOxno^e?7csCAfez9i=I-nYbx=w@{QzK4<$&0)Qlb>jiOe^ZQQdgQ(-sqtg
z&0Xwkc%7$eCrIhc%BEJFGdaCMAaL>yvXXTqA^e
zyN8{~d9j}XRXq@4&IGh75T>+i>85f?mIzb2S!H<+g!#8XLmtA!a*i;6gjckmfv$Rk
zFt6lO8GVDZ8|m5k9>}1P(E-XlH5+B}5xQ}v@ojgp$;`NCx`kz@n(Ay$VIf#^iE5#*
zUST$bumEUt5ZGW(Xt`+f1jhsV3}~UvV*{%Tw3$eS9fJZ|1hnZq>_8VwCf-blPvOnq
zfg|Y=-rS5F7I>5Mj8M@ZpvMrrdF@iz19NrOhe60>#Zk}EuG+q8n;-aEYemG8%6K$U
zYr^4d1Dj|09sF(`?fZp~+w;1(19&~%n`*#b;AUm4Qg2VrM&;@0N_`w!Xg6+xox{*%
zdGbJcwxu55P^C@8SUNngr%Dwj8wXm^4Ag1J+PsBcm#J>6`KRaz~4qSlrhkpGt-k{`)?aa#+ysyWip&h7OXS0Ckg>flSmJlU=e#LYRu{2E
zA{O>rl+Yr?5|K}dvv+YM)Te@pZ^LMM6il3s5)r`!XBq_){~)!UfkU&Z<^8orQ$_&s
zyP_Iryg#eD7m#MrwJs7|}xD_bbpc
z!tncLNY2|pNMr7-ogd%fMP2v+&yAje=pgkhsOv=V*Ha@-1ka1S2z~&M
zbeEG8KVVe9rL>nY{EUZY4Z}A*RXf4(2ap{ahEKCcV0guz6oywNP7JR~ha4E59B9tR
zcuujNS?gAr62o3}N01AN3B^Cj!&D8$qw)u$_^ko03KTCby%36*vzD?&2a10_(2$4X
zv7Dp$58)M|c)IEhikE8vv+YW&8z8>JwE!fe0}P+H7C<9(LwK3@=e>)=hXt&sd!}>v
z0tiM|=i&hVe$_%ht_5&5EC7E05wO9Y;&So(_Z$!8;P-C_Ru}j^kqY}33TP4Vd)`_A
zi6wI_AR#^l-#-b1=@EQCdTj#VInM|ueHz&pviIcFY~+i>73f_?)q%B@wXz7v10Z@L
z{wV}R`!J6ztdjU!5(8QY9C|j2I1GoLiDV55iJ9%rgufW<3Jx
zI#KAw)QA&>@**z^yHUK;M8@gh1)4Hwbha2U=UolU+GlV^c?2WTc`4{OLTjOBgEGQGmzflPEwE)G6FpjwDu+IQJwE`SBVo}ULU*wb1r_WZ2lfgJ4l$-wFY
zdnQ6*pFsI60`@#HJ9kV{$%LK>?J4N_J{U`npyz|gV39fIEF)<2H^{vZ=y^&e^u*Cx
z$TO_6vQ)Nm2&gEr<@l!%@a$WQB<3C>#ReBaI8i4r@}ka_nENCn7MmB6
z8%k#hb8hv}t6|Q~o~oT-&P$OM8s<#1Mqp0GniS?#B~Hw#N>8%@Bw$YDQx4=@V?D9f
zr79(cJ?N(IN1W?C4Al@PDtsW~JT9PBfjFgg7ebuU-zxiaAkHTP4S9$Y%Q@nV@rn>9
zUG)ZW?hts3PD!qGBkMWe^V|$VI>4Q4bEa-FN;mX8%%XsYq}E;2MZ6J2q$_rD0Qy?h
zLSLQDWU*oaFzAPX5%v_9i$U*kJfP2saznz=u*DYO$NK`S3k;gbg}oO=vWG@Fj}%NtSzSr7Knz=|HHPf!sWV
zisc-kw(*J(DqZykq3)F4uHI^w>+Nnp)cKyFW>V4tMjgt-sA8OMkb1aH14pU$ZPQ!4
z0OX`=w>jH|?6SRGwa{1Rr`gO{0G#>;;Dl|Vxj6MTjt6v;ws7iQfz<_0O$5VUg)&+M
zoa#I;&5}$eP)+Dh0o7;2czOg>KaNZmK$WwNfa-IRgCRh5=;~~s%FWk8s^JeP%Vl3i
zYD(;jf+*?dP2<%yNkY|rI;G6g1A$flC1G^WvFZ<@FWX=(u1T!=JtS*T7?MACdV!8r
zx!5znDlfEQ$2@YV2c4cj7#)m#4o2fdtG^?TIMFIE@}kv4Ia=kzl5o|$sq~oe>Tw>r
zHN1MXr)np7^<^0M4tab(#za>tn$5x#Z!=Cgx
zJs1AbKGNTi*mK>7JW~PX;pp5DRh&^qJ#%!b-7($542VNlVpBOo
zfa%Sug+4qdiCC}zm^20^*i&3CCVigc0ew!iFzK@cs|!q;$b>x$#j^;QH0RVZ6iOx>
zO-N6{(McFekKpKgkiPTjX06MlZ18gar;UgU+JbX*yVQ>@^t-%4)@bpGB$tp++D^i=Hx
zbp8<;p)KI286!ZaVoVBjsuCyYRHb&l6F?_$DF<(!WTDix4mBw;Y+s+Hb8#C%&2M_x
ziJTY5m!YZ$Ld{PFv?`#cv}@_Fa!Hm@Q~FzFc@C&~^cne36U#Z&ycn+tYSLA2pr%NU
zZk?R0O}A=Yd26Y&i1JIe19F?tSAWxA6m9?aMuy31Q;s%hDuHEL;7J@;aq+001
zZ-1puOL;DkNJGDXaUj5!0G~sCW2u%p^O#*h~^|mm1Hu}XhMGqjqZW*
z^azc<5}7Q}C}$g?(W{YzA!sx^*C|JALDKLCl;yHFBQ+)VCP9?+^QQ6Ynj~>)|0PEy
zSK#w6#OT*2jP5xm{UG#Z8?41OiAnE4vId1A`7x=M9F+rf0#jMo1$6pZ&tP;A_ByER
zM5mvmMx5xB7kSYsACQa5bHmC7^@*xG=xCJ`u>1c1!9#}FFjc<
z$r7l65j(AJx~ksH0JqZgdE-rNC7&70V7
z&cLTD<=CZHNN$)OVJk>N*I#p53&EtDR15JPefMG$GJXNj==Hz@dveP~qt`kf&}Tyn
zjqVAoF3@Nq61E$qvj}K(Fniw#$RrboCX}ae==m^`9^ueGL-qF6Lk3*WP^q-(`*swQn4k4E>(#WU8>SktfVGnLATzVgDWGe
z{@Sf66@k|WfP8&M&V^@$DBta2riLg{$paDP-2tr%L@6y=`lnoyC8CtxRoR>aQ9b}P
z}={c<0W+%Ubs29SiVzvg5W
zf+*Li7WxoTA_EoxQCZmmpdrdMTLhw1Y)K(XRpLaH
zs?>ofFKrh=lxYGC*k#pf0A<9>Hn5iL3RPsPX`J8}O1)`J|E&Wq2$r4dY@2YIh
zfha!?G~^*lEa!;wcX&ms>U7l`L@73KUfSN;jU;7f8#sZ84lrfT22LEE8&rzzn$$B#
zmD(NC6&yEgDzQ0Zg}})8V0kDErANSW7xGsCOU^MuK!+pqLV#uVrc4;Dm8%S@tE`mW
zh%}VgQv@l}b(@B&tB!=0{kMUWTO)Dyx`eYm$CfSV%QjAnVG>(TBUyvOX#Chx+qVg0
z%K(>KyMQjA=NWPOC^i=Hx
zU%na{q2bFkV+6ibj7i~3RpP{#s?@P>6S$NEFjMuv0^rsOo_T
zb1I-!fiR_AOE(pSFr}MSmghj2?*SU}5GIy$g!yf}B7{j-y+N2_6?|JC}^Y{0TNSq#dY}orv5Pp0iArk>`hsj@yWDN>~@#9Ku6?~gJXSuB#Im>C!0Ce!Q8R|Mw!YM3ubAiz+Ee
zi6Z2)iTtTFl`!RVJhW<<^3Oa~JHeEHj%?5{WtuGlQ!2KkFr_MSVoFu&$XRYHl(S5$
zNQq(Vy0PcNGs;=kJj~P(B`SF!qP!}gRe>m_MN9vbOR~&aO7E&{&VeXj2{hy(N-XDy
z@{@Q)h?1^)gD6GLa$7&-EP;sLkph
zFlR|DSO8r4J79u6edXfH|8_i};{yv<{wlD#z?F$i*e_8${gtysp=1Kfg!B}!{0a=E
zN5FE;nF+Au93uquHDq3AIZGI9aL!VztE`lr38VqE9L7I|pk@E%EV(rjXU`DBSqN;o
z1%(@iEgz3$4GN?2V@oY(31f5SEaASLjKZLV-Jl)(8S@k31!i*{7k{m12s(^99qKyK
z;L8RwLc^D7#t3|=7?Z-6s>F#e
zRjDIq30x|YvvjCQiDCP?&F8{3LYPnVuv0^rsOo_T^MZg@1;UheT?k=HH>)hqfiV9J
zXvjmDSk4jV`|yeoCSCOgVTz9vT{$z^m8@lFA16X8I>4AYA19*mxk0A*5)tp4y951}
z=@C8!GSM};IL!QK)j}VBoQN}F0dVHGfeZFjmWwmL;dmeiXMQEHy1#`
z=6sxpq>>3V6WUWi^IjNBkAUXDqZ6RXSw?W^KIC2q(9Hhc5RTSDnqifdrLq%%IDneR
zA6o%u+n%c*SaBxnri3MFin~(PlLI+hx
zLtQ7@Jf9kIqD@}pMVs_3A}&Ziza%%5&Jy0d%0sV)H+Olec7ivrK~`vZGtC--Hx+AA
zcvF=)@un)Z-~NWTdXP^!fHU=RBA2R^81|r>z8`U(>tU#dI8osP5$CA^tqQ~`t-BE7
zl>S!Pp966+pdk-&VmU{gci|NwPP*zT;@n=I>dKdiIzyaDMQ;!%jV~8*^1cnkNw-X&
z@P3equF1s_=et!4eTXyff
z*B%@Reu1d}5T~$6V(xDf=JtF?<}tuR+dwUj$sL(TBDV*H;S@rgI5;Qb#DXp$&LPhr
zbXfHuFxQDVPoYMfh?5tEAxovku60Kr%P2z413V$X+PpT$-__$aiYQpBF@7CS`~;>TDSC8xg^U~bm?!E
z{W%clE}$U~abh_~oX^H9LY#Ef8^pPXpU{JHlSl7&;}xLGJ36OGr=|l0x<32x7rlp!
z1@@!UoRK?jTt%kuxEo}rYrHwxg)F(hLbVXz-FN31>FisOJ)Q3ZZrBrGE<$~m;{kof
zwAS9=9#~x<)I>P!Z78QjK&YpMDR=fFd@_ayB6BcXO%#>id89ut4f>*SCtN1Cm%shRo9suq-&qx
zxmJJ9R;3cd9`*S@7e3Oe{wfcHHN=Ys5{P(z9bk3>@k(zXy<9HI67fpEt?bo-ct>Dl
zd59OwIpUqfD?+?<)f>cnrNDKKc6W~C+}s(|MKU_TxTog802-k?&AM7+g7g-~J=0M<
z2Lz+5vpEBXz}aW27UGxnADrbvSb$9HUBCu=8qCG9cRC)>=S>U8&IMK%I5v?Ay8{KZ
z2srjp9tF+@unF-g0Q)o;OpgHUN0Gw3@5Mp+l~ZLtQ62{S`IhM5nySi%wS&I^`agCtS5VN^uE~9`+bN<3GKW
z6nwx_wG%vg1hk#c9Dzp_b5eLzl{oRJDqZWqqsXZoAbPU($lC2Lbty6IL!Yv9;T$2*
zpL_I0L!hYkfe7@g0j&xIDs5aktz42N0+o(eS)l`gt^tAOAy6#m2y_o#5dx*F-XKu%
z=F;|=scxiNJ3DO&i0A-)=A5>KqjO_V@tzX(EF6MBqd<%45T-yJx)PhySP1T{sTTV1
z%_U;N0-(-k0~72CEf;m(=6FD#0WH+|w7}{DbtW=lPet)80_w~;Z3%^vxxAl{p2D2t
zFq9r)&bK0e1?J=&BTO`b%nQMs*(WH$U@gQMR99Iky9a3~vA+?dNY`x|s;)W`Z}#7t
zOWYcXv+qqf+jF$}3Fyl+i
z>85f?mIzb2S!H<+ggNloe1wVR9ATc1SA;O>s;3BZXXC))BTOKoHwY6)my0l|X9Hp4
z9n%?H1>(?^*qpdR5attA3w?+%i3JOQFeiZt_9T{zFsqIS^jXhBnB#%f1;R{Z!p2ZM
z{e>`5D47T|Aw7jKx4}?)gfL%%{1ph3bBu7%c4S^>2onYyj4-vj%1YU5kcJZbD?y5M
z-KL@Hs?)y+lUpNk_EiaIdyX*Q3w_zfX)#P9%y%JKgTiPEAxs#X6Jf%A8#;hXE}F~y
zC(jUcAoWV9>qMCMQX@`;$&11eCP`64nD|?%DyvXXTqA_}4<2@E2oqI35MjO}pjCk|rCm!m
zl}oZjn9|KE%X1*iUjPkxIZQ0)2=kP4B*LVto+8ZM?dIYmOdz5+2opz_i!iBY17YGF
z(-~X<;?R}YoVY>|=DDhcK17(rf(1aBdw>b{B$kUXcRC)>XFUsHZVRj~5N0A1b_I&3
zzYr!0B@hv$deOAKRo+HdxL0`6US`3p2^G+mdP#8@igb8DFB22j71%&x7&k%GV
z^=DAmi7?+zjW`h|FA77LBt;Ej;%}v{gfRcnL#>7|KkBL43Bvq;$OsK#rWqp;reaJA
zVX6`*!c?UWgb7?Jf-oIwQexP?J~`*YHA0wg@vu`vn5gQ32=k=@tqO!G?OM92T#_Zi
zlx|j8o&#b28_n84}+VJ0$RXQO!f3}J#$
zG7)A%dJ16gp0}d>S?4M4PuH`A;UcvG<^g*R1+6K|?g$7xH*ryRhUI^WZ!DkX+J6hoY|9)@a&6BRxXaaICa
z6^K(>xAay)h*SDoWq%ID`BtDI4{>5SN1R{5D?*%f)f>dQgTLrT`G&3=7Xj?xW14>MRHgHh|Q=^}m&BGMJxoYO)8=+9LP@tuA57P=C~0$|WX
z&rMHpxfpb%;{kn6v@qz>!0G~nCURkiz>|xCK~M53a(2EmAwLB}e*_xWBN%!X@>sx7
z&NV_xKM^|a{ZQuG%s0`6CR#`|xW2Ml_IMO#iCu_)02xd7ZW^wxMiPwnvvm@e&l5vh
zi1X%mqoBjio8O6K4GJUj5+^oQrR%Jh
z%;B6Q!L1y4Y9~&$+_ya=C_-xCq5m%-yGdAS6u`DPJw@?!M~v!=HeBV
zdb?SxwB}&Hc=f*cqGX2NRcXPe5L(d?5f;_zksk)Hn~NXguQif;&>waVN+Y1pOY-}emuvEN`bXyDb~D$0*a>4l`zQDRcHawJcl
zA)#0z+k`fDnD%A&_*|)wg_V@+C_6@P?dWuCqT0jtYKIxsBtNXXCNE9|UfA#~H)sM)z;$pF#4g%DPj7!I+PLh3|1f(QarJVk-AjB-
zYi4@7(QNN+O_iJNn`atr@Xxnn=OcRO<}{+yX$6YMb6yytI$p}a^h7Rk9hIso$LJ_A
z2fW)g;8X1Zd6}#IJlTl$P1)dlC`YoCewd?pgR7T$$cA@bP&WSRBKP8S#P@>A
z%XtDqAdHYQVcM!@Wujef?yI!t;xqP6HO6NqE3J)cR@~TXOzy8VTN_7bYLnx8E4NHH
zE3H3vtkM~UdIlf6VSj{r)ko4J|ALpakX&Wb2;;B8xz+7*tzKzH
zt#)%}tQ}1>no+aTo@v%=^?gyhT7h3YENV{eM%lLr%4ciJ#of>pDUa?nmW=v%KI&uV
zJL+ZNdlLI#J>Ls31cch)-ZEdg7vNMJ)1VX&JjM2C-+$+`D0@2`Uny;x-x^}?PTkY&
zzA6zeMM2RJ+TeBI0dAm7?Kb!ondV*_hqOs;q6Sm0uTxVVIu4G<`aH@#}$OAmNLs5od;%7a3EcVC`o#
zHpWYlPg05b50lPoJ#->9;uNT>JXQ7CjnAKsxr`<|_Enr>HNeE43~lGLMC5eExb;D@
zyN>~G@p*p9b=DMrvxjJHe1R-I1hh_al&(#NJ~O<-XLzdW3}sVL*#!>z*XAzB+>AWJV_PiOI=O9ZSqEifYIY_10P6w$w*SwrInKXa}TSng9n8_svu&Uc@L-Rhe$0Cv49;JzSES6OJvpq4-Ar
z>@tto^L0)5vx}(_Pza~kRq4YrhLlXzab^_|54NL=hux_G^myP#$r+xh0cx_wyw_^T
zT$HingO_tqoAfSX1YC_dJ|2h?IVjE=cO8`bXWC63v7j{?ij~_WdmEpW&k0c1-F&zh
z4tWwE>_T33O+c$+9bU$MD$qhECRvi!gcguY?qCcs
z<4=H{04^AvrP3QEs5t#bk-`80?FTy=A08M%)Tu0JBpPirCVAillHAgT&NWT$N^_t)
zFSC@@)cV!ha3#85r8tm~L$?0v0HqSzj=hq8pBl!*MD+t7aEvThg(=G>awmtw!%~xc
zI{I~<@RZ44l@fMrmY`52d$R-<^UV_f0L^W89U!Oq!swNZz35KIJZ
zNE{a2E^(I1;SY-({;-|HAGW%1Z0%xeZ_&|I}H-pet51I%X>%A825P%lp6s8gg;X9@%Y%OiHtmCYVsY|3
zytEf5&k|bQ!i7QHTfJ%bo~Yf3$`N<`I^u>bGOSms1;6<`svItxMrz<-6+x8TW12nX
zqus-DYah+=BnXYG^F@1?@)xQ$)yD(hE3@Y0XsQBeaU8bEo*!WJ*2BZ9a}xnFIWQ@i
zJP`P(%trIi$buoO$R(jeDG5P|m*i?l$cDuisutoG_Xj}KnZ5w;jJ*XIU@wK{0-HBF
z9?+e(1#Dg$SX}^{L>}xlC>r9xf&!cP;h74X{jOL-b_(y@4#Vgs-eEL#(T=9iAa4ca
z;oKs(^B2fCa^~zC8mIt^f$4up%d2F66$*^cdQU8ro(M=X+sr-+s9V^~T&ouoT}h
zlm40iP{JqIyzIjKA?OL@FTofRScZcW3FIZz2!vz@M?)6+VE)Rh)-;s_HPc=)QqLXgi-VVp&WvCbbr=N}M@&RcgQ11@D3ZmvY_%OMN}cp(Z7U
z?dwsEFLzgBe+W=@k$Xl}_uyKYd;UQ{t0MO-?OM91T$1HGVA91Z%X8!nHv%v6-T}jM
zo;WPy6}vJ)Z<{ZYyo7_O9id12TeDySB+r{SklbOP=wAd!o@fyya1xBi
zeH6h;IbP|dk{hP&-)iZsIY)(n$o;B?_(gpMB9Y+>fFb`9#&1toxft>VjtBJl&BBnk
z2UZstG7$%R9!h2rFyskY%9;%!6RJ}X@@5!Ck09j#Mb-)k$(co9r-ghAfskviuC;3L
zT46LXQy;_K$h07h$$}mB`TZePm1VMjL<&mmV}cOrolWD^bp}U)Ie6Fu@G
zFM3?g6=73vMNLcJl`;jw|gkOqerh~ovchccJ7Bk@pKo<)FD#z3`HJ(Me6^$f^{uY~Ol
ztK~Y3Oqm=hZ^VyMw5e`5jk0mE#Nw@|dzT(>0##XyA
zR)u+>HU@8El?mf)7_UuC%;4LO8_MJR;Uz%CJ+Pf#QgtX}q$(GKu^2T58GUp+j(@y3gUN`z)o19J=~J+Cr&>W+jGpyn9a-
zv;su7uUVc#1(|^T0#U0m(T2AZDgB%ZB+tN2(*c)K+q5owIWsIf+$55p(QC4^@s1w%$@u5=FQyup1s9NBjtGC
zow;*o&YW}R%$YOiRB|(QT%pU=a1fRmg|Z7)$jzSZ#e;e=0~Z`}KO>r{y1r=lPaaL&
zKR!7=HFhv@_~@R46MGZ*e|+-Dc;bVYbfTB{<4CQyT%Upade(DO+eiI4BKncoS3>*z
zlAo)CT!lUN=%vBw<+tO~i~U>l#`*(vPs|l8f%*Ke@O*mHmT{f`v*0((6s{{`-cIN8
z`NWKss8_AodVX^+COGl%#Pt3{N2e2GlgAPdk4;UDO->)X8#Qr&hEi}W_dCoLaGe!1
z21==A8_rdY0z57vrY|q5OiRohr(8#`t>B;dUM-uxEO+f)VJT^5wvG?e~u_@5Q
z)Zs%%#zzu~BbaNDPH!Y?p^Kq~67GCKJf(7ZPjI{|$L`V8MNU)Cwo6kzt!V1;V-NyW
z%zZwS$fi!wMclN7>vb8dCTYm{0IyrP!kfw`4ii7869;o?t5~&qQ~44u@e&1Lo;`ts
zspn3mn-f)#z&+Vot-ND&^z`Y|BXh<2NU1V6idLwF>gX=MKn!CWlbg2=dA9cX{3s^k
zGoe|`J}Wh^Asv=n>8P(HiH7alzKCz>Hp$HUq+ZE2>=&pebj44K9zyisNCGn>8)Ux}
z{r41GS5furo^(T8NH+3a^+~q&^te}?O-EQ*2CYvhSFPX?&{9Vo;jOgP=!7L&6P#*@
zw=j%_(#mg!$eO9oCG({8?A+RBu&I9ykw$AJ!|wq4P5G9SyYgzNL>!qMv!0LV+E#k2
z)c!OzB#|+yeMb&RrEBRUM|sGw-==0*FTKc7OWbMaUSjUg;P)5ZtJ|hTv6icP5%k_%
zr6L=~;=@6A&MsDwmDmA)PG137Rs0GLWGw~~W`C{GdbQ#Ozfmn@v>s&DgZ=FfFoGCS
zpyPeM8m>?aJPQtDo1#zJL2Ti@iW=@{x2k#yJ~X7ql#bn-pyKbxkhWdxmhUHlk%(6kwBuFMPd
zk5Er|p*})?hP_bNcvch69tl2&a_MYcLCPBYd1`r`{aNt=*J9gRhah^V)1>*wn}>ue
z9|z^jz(<(y{bWnhM)(>1C8198Ki;}5aZvWN1w1kA38FN%xFhW8$b+OjG8d(37Kn_@
zE>@nI0lAjzneW6VDd?jVK?!)%fB^r2iex#)X@nZ#rSwm%5#>1(FA7L3Zd11XH`<-+
zT94mdI(1bfoih#bZNr$T=i)r-yN0TMK^51R>HBC~k3Ml8CDGS(9wkeZ=TWls#t7sg
zQRGCa4N*a@`&XUT$^sV^>+G)?kV$wKcXR)dRn@dS{8Bd
zn*T!tE)l1;wB#5x2-n~5#R#p6Q(Jd^b#;I?&&*zNZcmpAgwfqix+_|lV@7~$1
zo>7`JVQ%5*VEgHh5oV&eWUk!H*Clo;&395RwX2FG;oCd$VQ30>(?5|NQD~F=Q<2~d
zDR+v#VmsRGR5@(#Ug+Ja=KHQ;`##?@r}uCQ4glouQFU?TemGB2t9%&HOmKj4QZsQOIO+&j=6!`KvHKRoA3nWUK_64#;xi65VBQd96qRWZziRF~vy4JUF<`
z5eDa)#|%|taNH{^z>og0(<5j*635-bIsqZ1MZ0?D5e6Ywhja}>`jzE@W_fhGQWxc|Gu737?bS1rTR)6^T9vf(R?iP%ShFf
zbc+h^tjOQNiCKDIv$m#Xk;UwV$SiWLs(szWi1y=6%+0E=v@tRK;~hQ0uTBsgt5RRh-X(_QhV?SQI%-L#4J<4xN!)mPe>HvaLBrtLBu^Hfx$(alLQ
z-kdz9YF{@eqW!>}L^$SoQuUoSW`%#gqglCZ$2^}>jY&5*e;99WzMyJfH#egFxO4L*
z)py#M8~*u@=4P2+$5x5AZc)J%YVvnbl)a%El5T3g7H?|)UDdvBYDD{isp0uSh1F1%
zEcAa=Uuk1v_{U>TjJdivfAjVw_S4X1=I{Ki*V_WN4vgaUuIcRUSJB(cdiM6dap*nb
z?2V&>9Wy;fSc!7>mYAv+kx3C(Nu^E7y(Shsi8EJ}>|k#}r(jySjsA&sE;sL+Oopss
z(a(7~le?EDEabY~!h>}u^=n8__+>kjd%&ly`L@xX$KL+Z=|mxg44r<MBq09%hXw4=#9-%D5Wvay9t%l?}c0
z9a|I(RsBZPxaW5jLV)l5t{EZX*g_(t>DWS+D9x*~bW;q{kQ3^}c?(j5zUG%2trrE7
zdvtC$Z9p!~gE+T)h*i~}+Z`k$fX5DWRUX%-Go?a;a}HgBW##FLRY0yb{6NYUlA-Lz
zb3I?nmGgL~UaW3ZvWU^j@W+M$>1SKm?Vn?fD9N7}bxQs(8hYs?|35cW^^?DS4wYk^
z+P#G8dV~n_mk4Phe_5g=e_6V#LsIZqqSKZ@^wg_(Y;w^s2{GAZmoUtDoKi@gff6Cv
zgrc8V=~6LMWsW`E63>HF)Qd{SkhUH7SlhMzNX)U-;roVx=&3=l$M;wxO7`GIow7&Y
zKJ!8^ZZ#}5RPBU4`q8!?A%Z<5LYmk^mMGanmTrkR|8h>9m@k6(>6`J0|1AT}#3cSb
zJ|&8qygW7_DIr#hnkb`3g8o??4+Qa0GJwKfCRjmHA`!@#Vy}UQ^fVxtVmE6<$rQY(
zQ>OTNLoa=6#!*AnPMG2s(6$~Sf+-|InwUbCD49Z*Ziq?^ayFgFuYeKgJMkFd9s^oq
zG6M3^AyR_R#i?3LRp8T?n9Iz})pNp^kCJ}DonJaPASHMXAx8MS)w6|}QXUELW`*wq
zk8gz#R>ci91Tra?5vv3VA&3(~*M%ZD1Af#nUOgEIzHnG0O1|JlM!qmQ13qWyr;jr(
z8me}}8J|MidXxyxkSJ;53|XS&3|Wfo@t2WO5D45)D;_r;yR4rH6689YMiYyb
zz7&t(UpF8&Cc)n=tnt1j2hNl==2Xu7$q_p-lM(*pjOLk7T@mV+n&P8b_cz_I*XH%p
zD=7X})`*hgc~R#SzuVAHAI0BesM-m|kD+ZnN(9AAlr&MiEKyRtEZrD=_C1o1@e*jB
zz7>z=Z!(~^iRQINF4t*xGQu84I3AMeIHKd>4p!CdG}}F8)#{a^^qQ5wC0f}&s{K{ywaZa^*3
z7$nbkuHYD3b|L1lH-_eg4_mv|Fgfv8hOyD|CFBIL-er~(?sW{oS?PYLX7|uQqP;E?!J?H*dPe;XOpI(KOD9=uQVOb`5^b;v*OYXwYjzH0%mXMM)4T
zyCNV(sG@fps>TpRO}9GkMca`m^$ykv2oa@w#RT#dzd$!hohGa?#3SSMMK*(5eu}Bz5
zbjDc=KQ(k)kqM;Xtl?$NDL_KEz`X7_$J@B)luTmpSxY9(**_4-=Vxg@<||K$N2fpL
zboxU{b*fO*%{%6y`Je_LH-HOl89x3h%$p(9j;pZe9;x(CFp<_r|3nsP6c@jj-ryNO
zTyYYZ&v#|k3qcX@%CUPiwT{!&+IDG*GJYs&>Sq~0hO=Gsobh8rXcn(z#*eM|md;t+
z%lL6S)r3DRW&EHXLiDuA_z~{Er;oPE_#q@4W&H4{(0gsz{sGoiXSvX|r26Qkx)Vj7
zW~o(Ep$vMBJ6@g%sU3@iXi#?DTzXz5H_4rwHLY1AUc|*Z(>oXHky|a*D{0uOZzIeu
za0b%#N(Gv6Qaqn@mbp*zxuVsWbe2}FS`DWV)rK>OG;r9RxH&lU*UlTPCq;`Yj8?So}sux4Llj3EMes&qK%Lba}`al<4-K)
zgrg@(a?weq^QkI@O2HS!3-ZCTid8OEYCKCy`%&)dlgLy??jsn8=w-Ld5ZT+D
zWf%-n4;FdoDo~B6mZTuA)yDCLGf=k5NsP$?E2Y_Zm(i1%6h2L~?Ib8~QdOjvDxXC%
zvm(ndg%pINs97CtIIHOmYLVVZ)+{7A1LHKDrFg#OmaW@?mVwG_I`kQO;(dl?UZT&`
z5S*?$lCx^F>@(R~A&*b=)KW8GflMviIIz@N4}vNrC2z^@Cvoh9={@gU%X*VT2CNDh
z@IbeOqYMbSuaY_~e}eH=RL|nD@=P*|jEi~7y4b)O3bJlBoMqJlJfe~(>tNq1-n@qW
z=0B79QaU9txE|>p!6}#}&Q_Q)l0QkjeWG4QX9gg9YPlNF!`b~jh@_OJm|`CPuOx|3
ztUp!;WGfC-8MFMfU3i4pEJR0ClH_-lStkYKOl&ncXwVUYlgE
zOtR{e^=yJFuy&VacV{=VMv?Y)HrwMY;REudcb7Q*yB_ak6UQ6bS-B#)Nwb`;TovnL
z;|a3-{RMS*$T`)9g@FY|OnT{L&6b9d@GH#pfZVa;wEjUo`0MPec5xAKR3-3I7r@H|
z9_R)*MBw+90$e2UpFIHY5ZK!Xu%Ey)%K(0tz_*ULf#^VSqm%@EaQe&J)OQ0ys%v`Zj=L1n$`kFh=0!EdUz{EE@qB
zB=9zY9}swB6yOqpFK-3-3V}~=19+Z5<92|L5qRYN0KY~cvmGEu;NZ^zJVapo2LSFO
zFmwmN4Fne73D85}I|RN<;L=?H-y-lTk|^7+6F9#U;7I}}cLAItz}SgQn9N>jzcdk!
zQJQr*fK`aZ1V5F0sy3w=vMCLbO+j#N3X*Hnm0X*y>@s1&G+d_8YR5?$Z=`X~gE=vv
zme-wr|0=})++MNmJ1)Nx+?Tg*6sXEp&CbEm86wrx$uo8rfvA$~Bz6bSa<5nu0Mv*X`abo<9X~ey%Y^Iz_4i
z^#Kb=6)F~ea2Nu6pnA3n-N1d^EVw;m+m3xX3t2PCmmvXFjQgiUMNFg;Gtk^lpri;B
zbG--=jDFx$w+`JEDqBtZ5OvaoG!?LOxrGntcYU-Qp?i-%0V8TRFkLJG1F7bVnbVEa
zjV!T~6O;Fo%0WAp1HI6d`6kESv=FUfmHH7{MdOzi;2&lHVs_=K00WU5Qe!x&qkH1wh@ORBsg}-S7UR?Y=WT>ad
z-%<~MKY=FY<6j#(mEd100snSiRro6z@Z#bxZ>Xoo-x3dh4pdJc{{9<31^%dnEc;g#
z{w^5s;^OadLp?qI`eNX(_o~9*a|XP)_`7JRr^nxbhrfS@BJQKV*LFzyqY}_xKkTB;
dN@>M$)f%Q=^~uL<6W*I4!;-MU@crJ%{{cUGS%d%p

literal 234343
zcmeFa37i~9bw6&|I#<381~aVPmMrhemR8sX4Dy9!%SKq1gd`g~#K^O|vzjUI&a7u<
zB`@Ky^W!oM1mcB20tpcAB;-#Hzz`A$2{!>lY)tqOz&SX=Vc^G2!vDQjM^{x>RafuK
ztag+5^O3iwyN*}ys_%PMU46%jS3cpGWyj!uos(MA)mr`bk@EO>y)j;C&2?6fH^yeB
zD)si<-E$l7oO|}%aA!@ke5BQwX^vIqI>$hXv1)B{yjiKw-8|Ph5sSBLldTa^e^sk8
z)~+?`s(N)rb!Bzc&2z)mHJughT6?mhJ?fm%nl86%<;m&Ukyc~!aHZKwrpsfumJe0t
zuoBc+exPzY5)&%={5hf&x;m}1a=Hw(wdbm*bk-bHgQ*_ZSt-V_yR&?oGsUzGgGa~?3SwpgIinn^Re%p-2!yBwummb
zWLPrNY{7WWy!P0c(dt?*6v@@<$?|t+VE@eMRAYQ*5@;pfoo?Jpd2}HV_!v&$?&_Jy
zhU!@`_UhTd@AdF+1N<9;e;Z+3)$?gQn|bl-CZJ-4UZFG4N_#EK>egMYv4NC1vN3x|
z!`hh6%kpA$2DI>6{4jTO$#kr18q(%4B02Ji>@n*QGaW~Gv}8WZg!Fq>>mW*alfSh)_WFb?X$Cyb=lPRjN1Euc_f
zTD6JU0k|;(X5CEM)k=cO)Iz1kAJ^=@KDlPc?j8HK?Mn7uzkS!vD--y)WB2|Y$qk?l
zsEHRP<<`LT%;;pTRjrICqq9`;YNTVopd-1u0qv9GD*ai4l&6aHY!Jq86jG$>GjRrT
z%J7G_3{z2!C$&1UvkJxs7v(kz??`QOG8wHTGp)+R%;cs4Kmp0qb{=^0p6d@J+jifS
zJZ;;)ecN^)xakro30?%Ag8A}xYE#pbHINc$N3&dS&!Qi>ZpXeWpA6--`
z1$|W+L6`I*|0Bnq>d{L;A?_-!M{AsV^un9K*jpg)$?>FGK3oB#AFI?3gS5-Z7&v*u
zrYrSIvpkvXMY|nKcGboz^;Tt|JlTK=4YdYjn>rQ{_s)r=-e_-1S|IjItL^sm)-79(
z962&_s6I2&Xdc=EtzZkSEthlI4p&d_)E11OImOb2>=dN%JG$_2atB;p0T>S{!3F-)35xR4qk;H^^ije56!6x>+}g3zjS*>=RoJ5qE!Oko8&z#X-Q^Hhj%i|);ovb4Ji?QMtr`SQ?U|+_>MN{1hDRqM+Jd>UecA3ty|O8x
zFbqP)ium0s*K6(CGb@)}U7l=JHj*|BL+>Y1ALTk&9Zj4XA)O1Ke(Cx)M3-BWA!5?d
z<(raAB~1r`5o0j*t0KwJ<(ETLM4{~IofT9gl|Jdy1G+vz=W2kwF}?3)iBwp)QaVJf
zJgB!~YGr5Hk-4%RpnVmz=Yg3~zp8cC+&(qAmBs_%JH}0w=HUtjclSfx&++~`bBh7s
zXO#;hRN&?DT#%5cz$jbu3hN^@R`NQktSOCO`lT`4SqsX$85l}5bxuGMNiXPkMHf`{
zC)J;#$^SfMc=cx#eZ$z+(AeyOon+a797N{6K`=WJayucKS0l}w;MLf#msWN>wxskU
zCHGV!7vrxfjG53Xb%Bf&vsGbI(pprrdXp!bO{yxyar7VuZRV{}H6+`#J0`<61sT>^
zR?nCmJC8WS&V@guoTm^+kPeLQ%I!u|r+(RGk_Nak`@Srv??$%oON_qPbXL~tl+V&k
zVmbOq*(d*DcDp;=EwFW>JTuuoc(^<{Q!z>CoYtC|o^CYT2U}C+X8X382IkK00^Mf2
zbjtkhNSFdUhZj%a&&(*>0Dt7v*EtczNe+wLJC`>*UoWyo6_Eqg?wF&kVn>vabLG3(
z#qij6s#3z^@C=B%RPQ+;&corJp6u#L$W!!mo!(Qf9G@5N?dtG>dAY%N*N1;U4E9JWfbK;pG=U
z6A88F0Z=8rb^ris@@d4Lu{f4kf~RB6w3&OgZ0m92<0
zB4p^HW^H_qoeYE$Scj}4EEv#K46#%OARzQ%_Zg$&oFbw
zEDiXKHR^4BRYooV3~O1eGq#r@bljS3g}f^Dv-K8E@-5s3A!1o2iloy}daGJuKekj7
zao2REJ`Taf!P|k!`mA=UryB_0R!!Cb7nCQp;_SF%L5Xll=k(4>!AR2_R$&3JmxiP_
z5zskydKN+K>}JkMLl`L571&IPErUP$LWNwKkSiNXP1wJp(xC2*H>S$9`W!nIs&-bP
zGR{teMhlU3*1{cFb$|%H)}FhI3PAd&4wq|y-$D!6cd<1fj|)Jkq^{X=@JQ>gkllle
z7I>o~l1hYv3shW)W7!b$ophJ|P-qdTZ<=C#>$b76%5)o&^7TYpyb;O&b|V3-QG?`W
z1(T|fXsN?uV0&a>+vH^92;^fS^94A2^TZ^j*juypcKLQHsbGL?0FtS#O#|gta-;(J
zJ@_ly!Zn7`O8ZC!a(H4{0DHRf{PQ(>(v;egp;uWEdkk0o5&YvdBt0k*vRm8==+vf%
z_K+_oy_hQ3%ZE_9*>r!3B1(
z1ZWrtgEI9Te%_biV)5Zb%I9
zwKiGx$`aIAyaH%f!8rV5rfv2;Z5=dsq1sO<8z}_8PF-z9X)L~Vo
z*(y)2OH$<)8VgPslyPPZGBKM5V9g#>7wg<&rPS8r8qGmf`<4U}TGhrlpH^_84c3F}
zuvefdCjjo&w<0o3JKdU~2YEVlnC6FH>lyxocf3|H;K4gy*BuL>F~tOIObtXDu7?d8
z`k(XAc~r$T2fFs_re7`{zOf7xUmhK_&k@h);E1
z!aR6wF9)0|X-}I4jk77wQ`Zvv0&ya&En-eYZHb%{KOE6&{+u|otv;J%)CmC>P9PY6
z;GQ+57|E@bS-wjJwj3Qg1W`menSgyCP*4OZFddBy@YyJ>wlx_CWya|U!;)D(CxOV1
zQtwJR*h$BM8kX1z_(${XL0M65LE!h37uW@zU4&2x(9gt5kuK<3=|B*ZKdlPb17r-D
z4%7&6GO)E4HXycPb8;$NewB>Fb_5>rA_PJ;;3+=S>!ewA;dIg)N-8wXJ-*OLh0nPV
zD*1g5KGmfR3V21gLsUd}-xR2lO<}%o*+L@@>Z`=ts0NX~r4-R>zHfOy`WBu(AO`{%
z7B&l_M=|^fM0&XGtvu6)Y$xn)MTCus2SAFLaN~&x(8GbTMiVv)Ok*+w6fJE7x|pf7
zB*0AXqtAgT5|V3>z{fE0;CTZ5@I(jpR2i4vN-F-=WVF$kl-O)Zk3lIXJA|rVVio)|
zA3ygn!_UocM^N>nojn%P9l3#LSixJ|P;1p7G)f9?4!SCTiNoH%k?qvnE~GG}3L!sb
z!ph<5z4AuqsktK>RthQh1*woIxKHQ{s*7Il31Tm@w4nMm)t7${5PP{*%knwjvDd4s
zUj?1Pu0lRX?m>Y~KkRv`gU(wP(%@FSojyt#+;yqBcz>50E
z!##yo)J0FmihAy5h%bcuo5y-OC&P~mq&A!b5(k_5bIu=Ac%}mq@-=s|s3KB%y*bi{
z!b1#ghxj%pE_Nr&e}#Jr2~YG?OnApH4^5VA9>U{fbSFFsQ~0h@m+(?VoddBqga;TB
z-PusJfZbgb?kOZX(UT#%h@C9k!adGIc$|=e!pkqtce1$M_WhdM7Re&tYmu~FpsTGa
zowIYH%$&JJ0rv~=Eh`%N_O2E7TrgX{afN*Y#>2h||1%~q_8qtrwO56G4;#QOHS8h$
zUlp~G?@|$y9qkXeQ#cAx&>uiCIW=<*>bq0U&F)Tt_v=P>!?vLVkY#T{T70U~jNYo!
zwseji11TEWd*>`|bBebYwo{ksyrJx8+Z%X
zR0LzM%1fYXk-aKxJ>+M+ggxtq<&VP)=-H
zxeYHNUW1%Qx{USYZJ36ky+*iT>QD@Pe~gyzNv=7SHyCb}tYF6eX|M%)jtt>B3YduP+6jWap8M%9+8sohb!
zMX}NYg?J&-gZ~JXC_Q*=GHf|de57Ya4Bst=c}(YIxviiwH4U#~*IF7c;H@GUuq2%S
zFlqjt)kn}6*mtmWiG7P`_7~NCFZb?_U4gW1kY-OEC$R5B+q8+W1v`FVC24H#MJ{iw
zTyBXe4ldi6!$3%`IyXSrjD~U#cPofup05CK$8OD!x43sLv3qm)iG%$NXZ@$BDEln@
zk+XP4;V)E?QZkGdLJGf)7EjPQr%%MFJ0oTSArl$H;1BW6se*;wVXg)s5
z(R}t@jRkmC2_F8zaS8vSL`AlFxz%ErLZRoE5QYAtx}LM;P}sHm)uZQ6g5qp7{4Yl*~xsUt+ZwrcfySi-xXf{<={3ru;@^Icw;i$i-i=iyaq3A
zKeZRl!Am?Tjn*Pfh7o~9nkVIEHjJKz(P?d^z>2d+yt~a#(6R}g<4xlDbZFjGT25Z#
zn?WxTncn|5)kx>hm&PKA!CE*o3|CBy^@x*gb`!QR-@bI088+X)T#gMXU_w7k2^_Q1
z^!%nB2NxQCN$v!87C%hAS35mZA8XHKUg2N1RgwT#X8$J#`|m89Hs5PSXL2G|DKXJ~
z)I!}^!CtEFg*x7W$xnD=r9HwefQv-WX9*+>C%S2+%;8=TCPX{bO`q#{5Tjmp%0w+j
zhi3F*zW0PFCH=i8kuBueqY~Q;)Y&Pn2o>;86V}qpPje<9SzIK5Q^RIIK^rGKS=a<{
z{zAEF%VrV~wN+$;)3Ic-!C!^3^)wqy=|ai|kE1|EHkh-JGBgh&Hz|jfmkpL%5GK&D
zAwx!cu2b#Su`HmWb0do@n_x|}hZ38PHVYgL=ERn$rziGLiP3`B&u-8i?(q)Y=NDnE
z%#i&iRvHvmcP;n?SBC6XnE~iL5hs>pIMoXg^3!cRTn#tk4{^6S1gEw&reMosvTgqX
zXB3n>XZ>!WA&GGRRZz(j?&G6E(U0!mMbNL`QtC|@=TEKH%^B9p_sSI49}~6yqS@IY
zKE?GeXj_kjCh@mgXF#7tiwPyBSeA)|Y>xRNAxF94ZR9lQd@fXr2k&?_SBwYmc#WwV
zijAFftU4Z5;uPzW^v_J(kCfQmIgCbji0B24A~Je;E)~tU7BaHdjSy@sZKtFe;`
zeG8h?hvnA`Bv*uh+@!%=Byx!gEGw5~^rK<86%>AxsKGr05;
z`zbLkJT@T;99xe?v6hR1e3eA2#yvG+63H2><{^^Pu~NK9bf1E5#*vi)>FA|Q8b_jO
z)ZGdDJ78{nCei3W%B`FSWZ5Xwa)YD~L;2;TX(D3_=|j*lFp*f0^R!GXge!d?B4N;C
ziLI2JA-FRu4s#B#5-|AXR1azf3~DjA3|u^%ts3T%xs5t-`JLy-UnC6f0%rJrDBn52Wc?6
zeFanvIVu^hij9RYjVvyr+f;U}gESt6=yr1<)%S08N{5mOZf9UhkNg(FE$1Lb
zS4WVUF~RKyZ?sClfZFEk(#*M0{odE#1pq)#yp{AjM~t-%OhxMrTb
z*X}6ICj7f{wb^!1tz}eu98?N9R2_yE-MFzD+ScLchhgx}s8%s76V=-M@x
z3Q;ZbF%Zk3>&zQ*-PX}B+@-B*NWiedIZjgZD`=>;5Hk40g`uVUcFJvCyo>FFZFlMZzX
zE5(aMb143hRx4yu`21)JbyvblP^~~jt92jcQSOB1bA(LF@SOZ|GN47S7E*?wSC9d%
zoSr2X30D#Ut;ADG$c})P80-vaSq1$tK4%kn^q^_!P)%)O8EaY#8%{cvtUVFKa
z&uQ!;e0^**hUeVy#;;2G2RQJ)Zv9W;Y3ETpH_`5u_YbJrv(UMzoB?k
zIE4LIs2XxjRtWpm$l@Y|O@+t4f;1k55H@;&R>;e{K%0&w6T^NC#@448_QW+H9}&ZH
z7E&Db3FKx>4C`NU<>R%2*x2IA(AlGbK!{==g@1q`Idhn{ZXrgBVwctet+Hlf|0Bd`
z7i58UOA*#e)U^pK4GOEv4`a0jT0T;D97{7q4+7b%3JpmFvQL6aoDreY$kLjK
zlqsLd^jk{33HIJ(wI0-M8Oq*3)cT9+__Jsz`*dhq2cDk40ewuKB_2hl>nPisXY>DPANeiF_Hik3G|Y
zErFS$rVn}`np)klusT#L5ZGpji1IT32%Us5B;prbzrQ!XoD6S~&xO<@=qF@&E2nJ<
zQo@x)cq^fn61yY3B{m1bTYS#L+qDBSyrrxDgtx!OR~4^>vzmIpG`pvVOS4E}7oqKi
zv7s$-!W-BQr0kOGvidF45YGVt`aOAMP@AYmI`3Li%d%Wx3lP#?qBvAIq`erbhTM@A
z(q0r?-Ux22xIStN}ezlAL(;TZWy~7@g?`kJcvziD5a(l_K&TWgBmSE
z*tZj<{-Qe4EE>YT6WZ3nWetD3LRiJFObBap%NN2r%AIS4qp%u_Tnq%T>#Q0>E){~^
z!WN%{2$MkZ%X65lg|BD`k)ZflRJ3Q|>({Me`E^1IU;h;=#oO(bnf=8{Z9<*RjbC%8
zZ?VC51n_*_BefQMVn{t6H#a2rq%CDZot`uY^U6<)u#vRmMaT->N*OJu1`B#V2GD?Kx1kaDAPxox>L%`SqF?8B{lz$rnqC#j@2G8f@
zmy^LWvb2yU1ih3Do+VI_peS5P1kV!IDG57*XX0-lc*f^Eczy;9jIRyTReyr#n?*F(
zn1XNER(c;l@9Sm!%!%wGgnnFfEFt*ejiOI5_$C8s>#k{#M?juB-Z33UWGvlMjdcEE
zX~oh~cnc6tzf3Wya5(*9s2XxmRyh5F$l@ZLPNm15k2D^IaC%EY6YxjW>0mMubsYxR
zr-=G5kmDkv<~*dpZW`Gc6HyQOBWkXpR!|*XUKu<4TcoALJ}5|%Q;2Eru0`UdYSAQt
z52O<4e`tMQ5#Gws`g2%mP*`4mXnlzmT65KKN7wvW4+89O6&jQXu>Tz@c>-*Fq)#}x
z0rpx7u%)BsF}86}={O%36i*%5=4K7iuNqn-U>3)
zmDH~pTCjaFR*JXeUau8jTZCp3#gm~%2v%sKz_ImM6a^#OT9M&N=Q@Fv;zeS(6@PGR
z6f?cgbE2u#T?%^`R4WkQ8U*MeuGhCb6FSHdHL1jr{BknHMcx)tiJ)(gA+DUTB|ZsP
z5+Sa{SxVH75SLgS2yyW_4{_gxSG4_^uKE+=iuK{$<*7czx4m2+Mhd$KZll+Si4)$)
zRxAc{V#H=K9_-RB(+EES0`zpm-e>?ODkBQfN+BOutTOA?u5=QoP;vW)YT~K~LIJ7Syx#
z;omR9M$(SoBRPiIE!KyT-96Thf>HEe6&arN?)PA&cr7tKp2Iy(5Y!87qU
z5Io~^9y~8UQ3lU+)t}&5tPfvbhmXwn7Q02W9c(gBTH<3SaE6r!s*8ge*y*jW{6DX|Gb
zlAJ<bGEch0Pv@`3&9(5`)yT>4mB@lgA4y(0b8%-k;
zM9)yso(0=qh30f6^=pO}Y=0Rm#anW(*N4Afgk}=OcZq4?v5CkQ$JS#}6pU<7I%ysv
zIUXy;izMS}9L@=B&nRYkpL3$A)LjaDAF#JTd}|O8Dfk0Zfp{gttHQmeNc@bcP~=bx`XY_*%U`k|45
zePwvJtp(5b&(_=J+jlgZjV8VdH%5(8JE}UbgD=O`rluS4UBc1H^s^jCn+#|@Be
z68nf?pqv7N=#Jw1rQmBwH$I%|M*m~^FBRdVjO8D|N`u1w^JDqPDu)T5xokHnkl#Do
zu7Vch&{gvVSu}~@G*>$X4G<;tLZR-&GZ(+bZd`D-7;h*?YlVVaP
ze7AYz3*Q~(&d%2d#lKEOVek-kFD4Srz9CX#-z4#eB_ZNOv;Z62T20EctnZ_uJqy{N
zR7i2eo3WQ+rFetg?wn3G;mmQkJXsqbNyN9LlHHAZMct-vaV8Vx+NAj8G$=qXno1?#
zi`GCjo?3*5ltS1IHA0q$_90XQdEH~xD40TM6d9iM>62I~UPT7Ly(P~g`IDC$b~r>3
zzr*uAFPb{tov}wjwF0RF>Nv`u-2n}g(?1TzV|_6epXGRc802!a0;}flS~dM%rJGUm
zo(l{!-w8gO*x@Hv({xms9&7qaj#%ZyDSs*tKy&+tqIrwN3K#g-SSen=_v?sx^X6nH
zd|46zcy^i^Ys^gIkr8c$UYhO7IHDOFl}kvI{fw`<7jUiCwPb{G&*a7z3vojro%>02
zeksQ*W#_oc?PGIPzFlrY=sd^11dT`OiU%D~SxGj9Zl@IZ}M&sRJ2Ee9m)xk3I#i=nWOR>Q9bu
zmrUnOQ^+yDQy9`T-?lE&e4K(VGJP9;nGZ2G6=*q=eJ7fnkiNyft;~a*?c+d3x)qu}
zBQoW8foi1lhl@JpCnc2KC!ca)CMl<~GgqY{YpO;E{`d&5Wi6yyjs3+3KE
zV6_)iV3~V+AJOM8sw3v2xwpT8wspY#O#Dq-XRO?tVp1meX7k7gsvYId%F_lV-A-;%
za1VA5L0n16l{e(DR)fN*`;k!irBt+MdAFZJbGj1xH9-qHe}t9dO?8LQo6jrt)}z)^
z>G!BX(2+H#7GNgn$V#XYf;XCuAk%xSBLx$1Lq&!s-TFCLDPC9RpMbkGnmXO5vCjcp
zyGg)#o!S#fwBWED2{?SFTb;x8Lq%5tZl6`tZ?D~qGMj+Q8D_pWd>paEPp+ovs4_j)
zbeVAz>ud6-aso8L&qniB^M!}8QoMe95^&aB70SM4oTeJizugUON5P2~6A?bBfKPSXgK{$e)}0iTGWDoEm{4q5^UdsqIRenk3^liq
znFV{7`8OG8$S^8gN#x&T_^1rYk$)pc9mv1obDn?uJPeHI-{`78`M14O<>`Zs=}NQQ
zZZzkaeWU$?X%6m+dF0@9D!RzPW%kyQVbt@0~h{)n159#F1{hG``vr$ZEJ$r7rdNy3FhkqO3-w^!Uc(bui
z)j9v*RAYQ*veMe3{K=M9V-mL8wYH4T)F#IdrrVR|IxCu$iQ4#F=h1c^(ohob3wtT$
znJnbLfSvRy3%LW?%d?P6!v-k__iw^+z(FxT$jElMdaLqoo31NQC(;-ap80GgM{4bA
zf&y%7`^(ZTDa9%&!(a!{C`xP}{?T@3n>Ma18!{f>EL;-Kj~Ks4jLmsMPkt(8U~jnz
zXPdzGy_TGH^jnIRH2oYZ!bce-k7K1l;TQ9BpBE|Jz>SBnzhko2YCjz=Z>CL%dju*G
zdk?{orz_)p!ZnxVQ$H!j~GWGc~
zqR(Gck5!7MKJSLM^;qRP{OwA8awb`W#T`3BB97$2JLWT3(T^iW{O)os9ljhjN%qZu
zn40kZ`E>qXs1%w!bxyOlK;ig=4Eq2SpEswMJzb6!uFQdcem(<@&xgyV>ILFXuB*&SOA%nZ*KpqI(r6vm$x$j=Sv$!BOtvZl9@CqT?w5
z6Q|u;FyN)6?@W%Uv=|*HhEQCBMfbvb7SK_SX!TlNRL+NmVswdK)I8;g(aClLF*-iy
zG5Ql823NF4hOYV(qhBlM$%8Nl!ZP7BY~?LaPS1`AI6Pv*;Smc2C*?N0axyy8u56s^
z%qKk83Fsm`&wz8YT`;dcs8#k416Kr`Z$V0asb6SiH@vc*iEK+c2Fn}V^
zG?#H>6^!FIhRz;>R0U7W4B;^ayBlpxXAGTvS@yw>+vw2->&bOI12S~3b$@%Uy{%5k
zk)iXfN7v0v@@~$vpX_ZMp-#@XYHS{I?SJe*l`}TvYCmW5Xe7e;h
zgiL2cRhwQer6p9wBsZgqbR@8WX1_%))7
z%k2vLQo5dGwRK&&tt9Xa>lsMx#zvE0_KA~yvDPv+t3(3c{WXn!_}yS
z*0{1N*Y2sRJE3(8RDy8lq?H=DTXvb6i7&He;%2Z9R)S_SnUNFWCd@m$r?{cq5$q;7
zlkz`hf&2*A=+
ze*o;&^j;dAbTH2aCcYd4*!7a)*mp$s-34x4Z{caxX3qHytJA)D=$PIx?ee2SFJvS$
zFWCBF)kx=ci*i9H2VYazyVm~yNO{|9yAZT|?HvhBYkPCtY7f${Os)q6s
z*22mCk;TQrNh&&aAJRztS=fb>NBVT!zjZsMIo#W=xz-ON
z-y*hd-`IdPi|bo(00X@;R;y1mnp6DU*y(2DaBUo34{J5xJ=x}_q*8CqG%HZ9+@`{Z
zYKJRz$6ID_Dg){E$iM;TTWIhcJ~7&=jBiSsaOMN{ojLTO2B$^9SrBzNGlJU6cEejw
z7rn4Ny!BR3#;TRETY>EIp>nO>(n*C8K@z=PtF$&Ht(mcEQf?)6SOcK7Z0Kw}U7i`8
zERWraY15Gbh{_5W%*n!{Dz8J8z&``wc*yEv+XLSr8>H5{}>ewEu
zJrg8ZOS^J)Y!}hzFRHKE6kQ#ADzvSy*&L6*U8`e?Nts-~%_Co~-%;*iP8Cpqr{jJO
zc5kU=|C2;m^B@LJq#S~6cElsoXjtmOZ
z{SLisQZb~{%T_@Fey<2`No8J5!VSwns0_-W$0}3sjevWK3{R@gyRlNd>YTDe9j3&U
zh;PDhI7RRQj>1Z|r0o9?O|kCa*f>;+UzB!{5#{eb0o{axCFxf_nqN-(736l0l|=5I
z7t6Zxr^)CaLBEB)$`7zoylPyo9VwB(X%-knq*Feid=9UDVF6FVI~2*>C1V^?A;xUn
zGY5Xc=|u)E(7*sx3JJb|GG_M8p9F13Y2QjB!Z(xRQ(d4?Zc9;yD^3-!3eMD~AbdDv|pHDyoqsBn@VqmV2VfU}Bz`dv%o16m_t(9`Vo%mxavK|!6;v(goDla>Nq#uQp
zbLPwt%VfQ~^;6n2iRXhbmOdq(Ka30(iD%9-N;i!n_aYL{owr}vtiT!=BueX*Bgy#8
z^ki)ee?!0sY20LNrrCspz_o`diuq~9_yBGZo`lS|$b_dkUYW05N)#(M!|p|Sl-Os4SR`ce
z8wQU?23Z+v@O9cxr84dRF(dy{gi;xOeibVzn$a;%Xy<{z9ES^z>8lvql)fax<}UkP
zkhDM*l)3{iXjE&sQUD7d6n9KcHjemC9Z{|3I{u#)8l(s({vTBGBp30K4&zBWVEgHw
z)x3hh{6DprUtQB#U74D$mRq&f+}(5PUCWi6YB>)t$1$WGQOx^3tEsU0y%$UK{%H!n
zXg&-{^=@9(9pev*ACym--fE~U)gVv7M8ZlUd1yq1L}q`(e0m8atZ@3_39J8$SCp`#
zD^J2opib1!o1`!Wdh@;|y$ZsFChX~$gWZ1Bk9K&{N^R>nYDp_a!IDf`Y1GdzX{8z%
zR#$mRD^*aMEl*mdx0U^n0slB?z>!I-AE-tabJ8kh0Z&YrNh|e~7);Ewl2(oqcG5}}
zk<4F{-ZA-p!XrbGL2%pP8mL+zX;ljM6iQl&o{A-{Hir9~N79OuVR}th7U~?H<61%d
z@y|q7(kfM6wj4=cG)b#eb-YQdl=e*0>f2zGeM(yGMFxwc6=xYGt-dF`0O)4;42Oq$
zkhD_Ffvtu0*#uHm^>%Hd2ImkY_h{WRXw16DkpycfL=K
zPjzuaAhW#(<5YC_q%}}Wn@;~^BhwAfp>g|X87&?~t;h=(#GC3YqE+#xx-1GmH6oK!$gfCe@V61I#yNu}l$`px#e8-T%>Ocr
z(TPY&9d||nLt`Q(g}olll$1T{y!l5N+*-ps1gpvSJta;Dt5pGySy8<28AwTO04DR4
z)VX*?DJi=0rKC8DgDJ}FNe|<2#^hPE>ZiGDhdJ1Wg&m>-S-5k>wxrSRrydI+Ka)D^vbGY1CLYtu<+L)58yBg5@x
zMQ(aZPx$CuXq{GyhdRWbQz}HEd@fBU*8%Sh0;3LexZbK|;Vbun4%k&lu|&X6CzS3~
z9dur?C|+pQWy4P-t^Pu}yY=~cq^8KIvZjofVuowy)G%8G2^F>){#ViMRI>Bu;CfPa
zvKlr<$rJOq9dm&Eo#o?=nR%Yt+VGkPzEsv-CwGgczO^@7OaVpo<^Mhp5PFncCY>`h{&^ktG*S3$jACb6n3
z`8V2;9+|=7dP^CstKl~KtlSLN&h2IR%KFx1>-6ka^7&hDiLlfi>TL}*W!ypg?DrgXOVh!D0?+wj9afqim=ef<1}mkx&Jgil$6FunUQI|X{@
zJ6cvx&u%8hnkP*lL|6fZfFU1)wn8>zs+;kW!2M9QvkDIP#XuB}`Q;tCHh3HEQJ?BxIX!}?NQtU6xC6%
zw`A3_6x9uTv8#}MN}PrV^Pi+T=)7am!CtQ_x=!eSq)%^U-q2q_`3IVe9-~;|2ES1_
zGvzDWg6$oJ#lsCzy6-=6B^^Qreht8odI`S>2XX}V6lfZq?q^{F;hdv6=XfEMTm*J*
z7J>02DaR|CFN=m(H;8_v*_!a`EDc_Hdoi(785`u-=`=?b3mA=A-JAAb3>Y1Rw&n?p
zrl4wZV6+cvabSc(<-o`}W)1Z$Ehj{(i7FCuw-OFL7s?4Zv>z{RICSGSI5uaLXNq8t
zyhAw>Tqi+<1Uon3Jq%d25uk}LWy2{ta7a%hF+a(azWv|74wM6BFT#jGFyQ1F@*=Zm}!9)=T|+6TAS>U*Xm_tHgq_4ETt2YQ9VMl@0_L?#&_r5!?K+oR~$
zI~%Sy#$o>}>N@es`C{f;gF5bCjeAN(X^wwKP(LGgx4lI*(s}pN!A?4B1&%WEUng1Y
zcBI0bMXW7v%dr^=z4#AP1Rqk|bHS`&TI>T*6@Y+wQ14dR*|M$HB>I_fPoaZ)c~5Z%
z^?o_njpv|VF%%=CxJIcu=Y94y7)T3gg-pJFFHDC01*GxD6r3tE$F6{riPI^beGk&5
zlp7IW64d*ngh&ha3c$XqvAMfCYarRhKc6(maL(^Ql7?r$=9qwUJgHG){{fF}3=$z~
zbD>9{KCBGrJ&yKW#YF}*wP5yMWZO|d=@%6ChknGK4kv@y-vGnwDPku`_YkJs&n|&X
z1!Cu1Bv|x^$k3Ra>4qC{4unlh6Ek(%=0rP~lnua(f$+MiO8!KaRyM)50C|8&Hsc>4
zN6u0Ch-B&dbmIScV!+O=A-z7CZhH~#${iwCV5LD}dHE;PU5tv53@gQ;?>22C^`O^9
zaP!a*A%vl1qS=_j^DQBx$Ti2>{FXaAJ+07y#Fn@HP>D7R9GeVVa}Yk#)z63{0g?b>
zG2W@v{jCTWy&iwkYCEXf@@3K*(dsX%C&r7uOj?Jw_4gb%;%_>u&YBJs!!oZR+WdkU
z&$*A#QEtf6i3jg^HEG3zcf7{b3*{p^>#ZtoH7YT?H~+lEgT4~mo5N-deZ|{pXbw4X
zq&&^;QYxCiu~qHo5-OyAtDzGbek(MmE2m#8kX-Td;hV5hy!D=nyY?E*+Mya8^-4yo
zT)OL#BCz9n3jX}PMQEnISbs@O3y)2R0>{>4Q4~BS?*1aflOp*%R*Dyi=1|E06vLVS
z5lx})O4yxH&9$ONOKw5f8Rb#F4$a#DQwM<3F8?*ZoU}{iY9VC^dIkB`sGOc99tl?x
zFAYjerG%W>H#N)|9N3|S0^mEe&U`dn(GD%TvUfo-3hM`LDCs(6Q;;WsqiD_!A9}jsb)pI#KjNM7pEEV^mhyL-wIO{uc*v{-Hz0i*kM7W^w2@%
zfEykbx6TveTPfqSFG@uOg$h810p&}Iuuh_v7hxr(CNSlO-;p{O0i{rjQ~@v>N{n
z;L%5LBcD=;*y2hJIbkxoE5ws0kZ?WD_ABF$nu_GKWq6M&xhoP)dL2H}dJCtdXi++D@j
zgy4IF^H^F-;oTF9!aLP%7Xa_k#_XhxhrB#RW`Fg~ZN7
z8jk`@H6xW&F6K5|bffq29r`KF8K8O^jG<3J^(JJj0IHl-gqI$UT#H%6Sbu|W5d++h
zwS*B>R%sYJgfx^`MUW!Bc0L?kSNtUmuN`I^@
z(t$$n0UAOm6rXbx`X6{jD3q@HgF>(5bKaira*R)y9|+yk>;i+992gXafga8YL08L>
zN|%t{Fnz-EGfiJ(8hT`|@fg)e=XVz?07dpM0RAi~RusmckASKL@aJif#RdLMWyDTJ
z8jk}0e7IAI{dv-q0GdtQ)Y&pk~i^xV_z0rEUj
zXea`CwxE&+dEz5ow{nr^N<^OMTKR&O{Hc_dz<$SS)tqCjC1Hs>?;7zwy@Pcr~J6RZ4CR&`3u?k5Q02z5^9FjzyKsQi(r
z^VcI<6{u6%d?C~+-LSGn2kLwS&=5kM_?)B8&*K%LPPz)B&LBr6D3))h19|GK1+!xA
z(I{V4)O}4+M^`p=JvbU=Tl#jXdfmO~2`Te^zq-0|cYCgkGwqGlQv5+FXE;b+sPj^O
z4g%5LW87x+W6v^cSw7AE;wW|%GCBRl(H|?aI5EZ0H1~XiX32y&Tc#Pal
zAM5!9Ix*hJ(#cV9>K=ArJaNjbT=eIL~(1k_pH^e>3xg6
zwmXB|95q|e;j1Zm9ig)S169*^dScHrsX{FdOi_^hwcX5k5vb9+_u!&-|D<@R1fgjS
zbrsJmc_ow+FX-0rlGc5+^GdFCzo08aZ~Nt3m9Y~iP2=miYCB3#+EOl({XWtQ`%nbg
z65aZ>MvQs!3on&K|BrTlR}uEfApMOKu2y!!_|A`jn4TwO%GSpp>f&M
zi=JQ|+R4XMEo?hmJz!HQtT?EcX~j2p6a0Uro|eNn!1q<
z?$#Q*!=a{ePdNkfq1UP*yViXo*U?hGv8P~r+4ZV{RMp6-n;~81sS()OPr)VXx6JXB
zgX0MXc{fAV5K6Z8QQZ_-Tm*Se9xZ5)*EuW4ANW_aQsOfa;09nrFC#!k5d-b~e<5<1
zuV^h9d!%S#2ngrUKj&*T>qYi58G6PL9=kI=3lm2@nQk0W-?vq8e@K>vy!$gS?d~hD
z41&E1=_s)|L5`dxEx)N9=fLOn!KKCRSEStT`~I)D7h$D@_iw>UgTgiD!~4gkzA_mG
zOiuvc`g9`-e-ysK%@1+%eC}BHl5%HT+O{<%|8=2}3DEyOsN@0t_^1%*SG)JYzdN?-
zf8J^@sKgTNf0pR;7wrb@-v@2$VE?!9H!a4A_{@;_sTn+rA1%yBt78PHq`NN1-1^AbSFa27OWVzBMeX}x1$3omUfQHaQ
z96sj@agRD1u4o~SuI!~QMsU5`H%xb`movd1Ov7ty<;m&ULIFkkCc@?OYe2pq+C?-n
z=t3WAWP}Rm_uA=2AOqdgnC2b{VYjG8IVdVOv!xpb&m2ni8IY
zqUXUt`UFL9gr)@)75pNgw@GMC?s`P=cS*&BUA&_5`)mTKE3t7wq;!*}ePq)*gG<5!
zi2vo3|5@nQyLVA%i*Qh)zQb5)P-+WIf8lpg*Zbc^txQgsFQP`3ReI2gDh`VB;v&PO
zy*Mv~8ljL`g8;~mNC?oPqWQb$3ciB+wj#rmQhYO3ikG4SvBoMPPtCb;?FXW%>H@50
zUqQVEx^<$}d*DHiNJ;eX&MzlZzsSQvq7MT(f&QfJOScxTBwj(44qJ)Tf&M-T?f`=SMnSq?eUvniWh=~?@!
znVz+tVtQ7)WwQNj#W7d9IhdXugsLIOWTj`%h%7GBv#BWABaz0VfQQeCF$g~}PDhXd
z#>-$teFDbUAe+To2b^&P%#K4I#=P`;tMR>Vt~co9^iONkNsMhcs^d`YaHXy?qi{GQ
zoMaBSCt)W|(mvAA>a_6F+bsl66}85tGN}vNr_z6RJ@Nz&02Hi|^Hx3_UsAq>#J@Kc
ze-@YL13UfwTba1rTW*$NEfGG#ZY3_OMffRUT?H!*3RBNd$v&|G$HCwvlqO^kl$#Ka
zr^+ZlnO(0O(e%){0b{jnO-@$n4W%tKNjJLWW!$H<$<4|p^JlP9?epOchT@ca*IzQhJM&u}^7jpvh6AX?>M`zttc0k_l2Oufk
zJDDyb5|V#cHPU&@B8TKkNLf6dP6)I)Zo@L|Gu75J1B;u_z;&fJOkS^9AL4Zohp&LD
z1#tMX$l?Nrr}AURAdN=>ho7CR`hF0elAi(L-vrI<6A0geJQg6FbB$2ge+XO1%}!Sh
z5H9pmLoxi!>mDNTh3inMJ-ZCmsl+b9KiXiw4rlAr!*ic8@_IOW6AvIjq*OHyT7F_I^r4s{(sVKTrsJ%PB+I
zrvrQc7SIsF-uRqj?+@V>VQ;$X5BA>6k)}kWy#U`kx&q&lk}lBqCO-s`tq;o!C;UFq
zWQxS!_HAVh1i=3Z#HG6^(@#VK@cUIGowqJ>04_P`I$$RS&V54Q-&cGpoC*I9R4stO
zzZqFvAn;Ux>>EhqQ9$79^3~rD!BhG(5d2;kPoE(8BhE=7IAapKKBIBF$9yz?bq=dFG>!%liN-ICXjPzb=?4m-aXEV^`*fi3BS1q4jpK8U#@~)t
zgvRNrKWO~g!}K-cZR4>AraPwkbeqbP<_W|V5nW*L^$yC!hi`Fo-XkpKnd#%|SX=Fm
zngI!L|1C&F_d=#Chy>h!ts3dPanS;9O(5B9cX~Lw`C6cM-^g;O_rWE(4paZ4Vo70a
zeIHaUfUWP1EH1EhDl7I`r12-od9@haLZH{A2qPtW9mGn5
z!kF^WtA4clxaVl~@m?IQ{}!oksKCl
zcoj_`60bfgqE&%crR5jGtI{nii*(@CgFr(Fui|r#S6_iwgjeaRKX~;zKK0SpeS48Q
zp6`ht8W~++)(w8l%17u$t!oVe#IX_jJ=1Tz17xH7Bhwi~BGqI**f*hAf{j8*FG$=RelJzc4fLksQ3t+3-7nk-Kq
zDbKc4_03h1`brIz+~e{E17{Z4OyBulN_l+8|CqF>c2s4RMf8QO|*?$G(X*#
z=B1~bjj>9rg*9qzxpDh{`62nCoH6?m>QagQP^grgu1$Yz;W${IUd%^)=mss$QhX@2
zn7;36S$%G3YO`1=j-@~`iHb4aO(bgtICj5jY`b!Ek7nXJ%`O&OoHYR8Iv3v(W;0^q!*A*
zE=aQ6O)e)}Wu1EaG#-V>B*{~8|9+K}`b=nY7mTJ)p~+{E#UeD}Ory}`CCI;s
z(4_NMH+bU`GHDT*4B$EJ>X@>oI3Km#YRyblFq$a0lXdVl!gUk`tlQIECtj$-gRYZu
zvyzNgCTevEL`G-fjm~PNS!*K(rjtcS26j$OPgbTNWa076L1+owB}OLPZO{kvAROV1
zz=3Ji^5I&eDdUOG-}P(|58m-w=={MuUPrydFZ?pj>lS7($^o)3qx4GbOG1cpo-}=+
zgV8sx(@hJ6R
zA|6-p^9f5y2yfT7S`QB7#Rl+j>Os
z1rW9~B2X;LLGzAQjA
z@CwD0!qLD>p=!u!SSPvM6r53Zu$LwR(;l$LR*O_{0Vx;MMI<*5G^~(?6~qf8QxIAc1MW
z36(sU79Z*JMlPo18Er04J}YT=lqwUVJ$Be^JE+GJ(f*2P^%w01(JlvqbVU0%(3ca@
zDu!hct<5hVqIHyW<+zcL0YID0al6#0#O&UJ;E?d_zvr-7!?S1(k$CoV5v>Y5E4_ep
zazTdl$fySN9uvOL+7
z<5ISDmElGzx@fMn0~=e0>bULc#&o&mBq!C3kPWd8seEPyO$
z89}S3Bllu}>^V31vf4OW3&+M4Rz}SJ1gR*oKN7@94{zGB3&t)HOC?snEoF7zQS1kc
za8jb!4`8K1VNm%f_Hk)$7FECrV(~!_FzkJWh9fZSy->-6VeyeZVdP@i)tHwhvlfRg
zrZi~Azh%@p}jmN-S5bz)9*F8|%19tI|KAq%(-L(XE`M_lI#ki-mn;`G!toDPdEg|n`
zh+couZXoYJLfbmz{Vn|Mg1m}p8OUq%%m;ZLk
zpmk{mQ6vH1cjvHL1HNb@k-+zj5v>Z~D_w*1eL<2X@RdGXnXCi&ejR8C0bhL1f$tgT
zN#ILY{QAKlM6vqx`LZN
zA`<V6F}x49p+eU}YYg72aHESR&E;
z2B_r0zW7L=OmeaB@f`c|0ZH&{-c*`R==XhA4?(q-==VKDvA<|H==ZOnZ5{m{!QU?Q
ztJs!7zc$x==+{y1JPXJY`sLgVz+XE}4Di>jQYB{h83dDre}6xR*&6;u1Bt}HFOFzc
z;9uz%q~{BgEb*`O;mTee`1dnFLkR!kbB=$PoiFh(UG)e5iUaPhsvYhH^zH6|J0PM9
z)EhY94oBw&yy7@J>RfDf;!_3QG5yA)Kq9(lGMzyr%spK-vgi-EBc3b(!o5JTq%gwW
z3{?vt+>MdN1;R~b#fFi_qkwP&2i&1}yx=w^Jp*n}fuZyX+&&HYE5I%17=hcDWyhc0t<3e!v~KQsVP1DWCg}W^XUTNQq`=u+pF~
zrhGK39dHMubOKqp-vbQ$(n5m~81^ox;#KLEl|?%6>U)5O5MIUS9It*8uV|w!
zUG)dAihS*k$;sMutJafu$GXecN=mvwu7P~5Y~2rEMPgPKl;N*^+jJwxZZh4I=^G+}
z?0xz-61x`v0M3@PfN9q*
zaJ$&^wUS5hQ6pmelf?)Z;t1zkif~gR+?%n|pfIp}gsbIieuMYhC2S7sz|Kf9wfA7UB!oPIYAN>0io}1ipTQAbJS9JB7*^b+~z`P+K
zaGM|Pu9m}>ZX>;6x{PmuFm$J6`hiG<`|qle&Knl_>t!g61;Dn;Hiy_6#J2wl%q)Oy
ze->F>VB1tw?58NTqkwH6?ca6-(($6&l=2L!{Ths@&Ez&`<(a1^`dP9nWwx{1$$Fm&f*+I}QH{Rh>^qQ|Gmkp;k~
z-&7nayp!PHplShp`nAa70-vU$VqZlX7Z*MS>3H#JN_hsKejG;9CwzL+NQzH6!w5Qk
z5_#7hKD~y2ETpB5&GqBcw5T#(HVA|PJ}u#&LYdaZj!(%#iOG)?V_OJ(`j{eol=yTr
zRvHwBR0yA5({|$1YuY`)r#lJ_Mc~tIP|1T&@sX}#ariWydI+DwPo=wrPk+s7)tq=d
z`1EN+rN3x5`1IGIZ5^LJ0)M;ksbWLH1;ZwTm4?Y$9U9V~H=tTmx
zyZx>}L>CA(u-_F&=Y^R~V%Ss_y6kR^41^FaoP?gi0Q)ijQ6Vp6I`Hb#fQArW#pfKa-i23$SLv!hcvYfa+^tBz*#^UqSW?pvoCW0P6RU
zcQHWKpCsKCpHEGTD&u9}K?+LjKLjDtpPTk;P4uv&H@Gw`l$iXDl*xU6E9;oYg#4hz
zM~PDZ6A2s?hLn#|we|j8?tJR5UgT3BUT7!+qn-klJQx)p=~F~5Mx_L5I`zn(N_PpN
zo@cchR9v~X#fGg4d@5~T`m-R(azCo{#>y5Q`1A@GSqPuvbB<4M!z;q4
zbk!exD)Onj7DGN2i0Dr~6-VcVs3Lnxog4X7ykq)`7lTA}4`gamBuIUMYGl#pQ;8=F
zfKuO}SW+0Jz7DDuK&h{ZEG|%LDl7JCr12=A)IdHJ#p8vkDd`!QdM6B}PcZeP$X@|d
zImZY={U2mr3{3UsNMW$i`Bbf}GGKNe(okZb7o@-$j42HNQ{-Y*
z%Ab-XwR|f6RtijL_0$W@c7xh0(dtQ1DdZ!&L8}jgwso}n85p<|ttw_^(5lTVA6j*k
zbL3NjXGQX<4)rN9yQd)dqy4ErCRGSaqXNeVg9Abnh{UT8MzkvMs<*;yD4^EBhq_2UUf7z_o`J137)zgE>z^Wn1#IOkBRF*{axVt9`oFz}qqT5rTw!Iz
z>;p(eiM?MCBR#xn$1dQy*gw=IER|UO-jvmSN3NeO!byo-KaG_Jg+b*bSM5VxI7}yW
z#RomWuK!kOI0CzV4JvuCD?ZXEj9lzW-{s=M0I(mH%{&wwMRqV>3SDRZt^y(;QztIoxRv{My@HO+HE|&_GnB7+p3=)3*=Nu+$
z`BpT9Nc{SVh*kxDmG&>aTaaXlU!{LmcIm*cCtVoEulStf*KK%3_?52uieGn^r+V_0
zuI}(FQqdp$O5@AJue^H$ztSz!Y5W?9MR!N0Cy2zaH>gGyJ$~g}SpfWco8n1f{5l0y
z3*gsUWO0FCQ(>_x(zv+rE6K-;UsKvM`1PqUmOkOv-$4co{K{EIplUyIuRHvTqm9O|
zdSPY6?9E6;iT$AW{Tuh6!R
zU;hAqyYQ=GR|db@-16a9M>z+6MWz+OuPzlTF}trI7$p4qksKy#_!SKy62JagM5_Y7
zO8b}IEl9G&uhKs&yL8~!p8yS^{3|}^_;uq&62H<_fAH%8et;9oO@1$;7cXM%?CK;d
zotiH2>?Z#KKza}UtpulLnIreTx*nO%WjlyZcUz{%h{U;6Jbn!!oAN$Mho1_Sw~>(
z669hG?%m`)1xwdX3;!0Yq>P-s6san)mk8qIOkvu&3kNSTOC}M#C>259@$l=5a8%;q
z*I}hWVQ~3)cn2mkl3_eSN>>dpE|!yH5Ag9{78;(w$M1ql9(;_C^ob@HAD?WGT25-&
z2TI!sFMq=7DX8iaFMpIM_ZRI3FMkT!*75QS@wW>vEB0mZvdujoUUrllvChVVe6Oxc
z0o-h#7(1lbvsJ9b?7o9wl<@OAbC|B-XEdBh{QSEStqS}s{e|?3L6RkYmVRE@u>(JU
z1!xH2XME1_^C^#&_?fQygP*Sx5V6tj%@MHMy93ThMi+>ALjX3=2)!xbwHhC!J2CE=
zp5#1`jqbBd_Yet=&sB|d-n7`kF&E4NWP!ISrW8iSmqFD6sQ8JI#RV!(rNy3rG#&+1
zd{&Nn`{8g(dBAKPp91OJMw)|5mrj%`+Tf4D2yr}`ChCcU(^CONX1bzcLOJXjYW>GMV|)?GtbmwR8H4A$-_RVH-%XI9%mJ(lS9Pl;B4(QeS~UqIVB
zx^3WZ7rIpp%b;7EUp{o}C^zIlx5&o;tX*$a8QSeqqY|@w3xY$!v#-iwvxaBU93t`T
zZ$`8#@T~L#(#Zu$mUvb=YGs`cJo{0gA%th~Imfd@&63K%x<{uqkKyOAL!J%eD^z)<>xVD}(@1%l-qBTTgx
znHPg#{qK*#U@iO_RaO}=yBTRHv8M}Cq+>U2*o9sf`}+f3a
z2DMjW*54sI{YAUMtgnT(bZCuHGtdbo>|;1{;l6wX({9*$xz7iCu|*06I&@
zZrbot#H-v&iO)|GgIkF6V{a_NNQqak$4Z03mBv-8}ku6^Q5$Ud7Sn
z;Z^F~z^i!2^cD|-M077?x`0T$`p>G7MUPjBCkudAf2LScIKTQMs9FH8em}Cfz^kdO
z*h5I;;=-#a9xq-^NzdTbFTzmzgjdhHIK``+V}zr=gv{$MzY2qm#;aOcWx#ARkOp}5
zeEjp@3a@f2B|Z;}!7T({eNqudO1yd*RvHw>R0yxaD4lo}?)Lz%USDW10!s4W>&lA3}i)H60aU2I{ihv!K;(dwvJba@V5)EDrRNys?94O
zUUign;8oyR5xnY9pAxfs3W7hvtGjbptl?EOfk?c%HKJ94SEc0_!mH9PD~ojC)#m~Y
zA-syuIbMAiUJ+iUtN!BEnbAdnS7%21gjZp7xp);jH}NXmF}=knKq9&qGF?CK7x63%r`jiamfdE;76d;_>3ul=KW<{SXYLPk43J
z6H>g&IYv0@!^pfY@#@TIJYG%9Dg$N@2hsqqo`!$^d*M~GQsVQ;VsHzASBHx*QsUJO
zSZPogQ!%_cGwQ~xGowAgtCtlTjKHf;gi0Q~ijQ7M5SNB=%nlq3G
zukIl_{YAUMs|TQM9j~5*zg>7$F)M>tZC?5Cs-v6>ug;7X!mC;JDKWdJe7ySj92RSM
z6-^)#uda(|Rp3==`GxSRbj!*j9eDK+&=A6__?+X_*WeZ5Rl4dAUKQubUcbLLfVI2x
zxR8o25NqH(SsI@gvWmlFdH393=(kLl@n;|w-4&UBAQH5`Q#G>a&*S1;Spd}famACu
zsP*rmY5~;xp~&I_wWh*iA4D3D0%{GMCrk42!q$}b3~YTnjHOSo^?S%*u`PhJjNsHC
zA@^cntN(~t9Ib_0;|ePyX8(y)l-Mr>G19}Ec5F@kkVF|=DwayD{%OkUzVBo``H3Nq
zXmL^^*AuYPpfIR>f2DtRz2KGJ8AT#UPxAT1w{oTrR?N~sCyuCv+?YP3YUXA!;r
zqTL|fbD(V<>3#(S?nJtZX&Izz^UQ~I9pyG!2M54OT0(CEVAoFW4v8wZI+d8+V-P&j
z{(_Y`tk&=@nnonv{Q(vA3lLiscvpG^sn9`^CEk^;TUn|D?_LZe3*lXS&hc&yuL$qb
zRS@q+k@v$hrBSid&w@*wrOk@N>>+s2Sur+QZnfqrx@TvVRX`3t=F}Zl)X|kqUG-|o
zx#~@F8$DPaCPUA{cQ?+4i}mnt1N<9;e;aR}>#VBO+s#^~HHYtXe6({#I-~EawBSP?
ztz?)8OKSBbA5?Fg>pV8U)JUci6KcaaXfd+$szruF1xxt)fAv!)kB6)G${U?snGp`x
z>W9mdwef>>ICZ#n+3rTYvI%&~?=_|?&2qcZRQFp4>A__OnlqJ+q
z)vu|(mL<}&!wSGEP{<-}LRs`o?Lj_P2MYr-!SyVgf&
zzhr1sS(D{|qB!CTMuyoccu|Y3hW{CEMDq0K22a@^V`CIGoS?nm)j1`jyOLnX6O+96
z=a6>>lJ_VNdF*(2;G^&?ox&$dyD4l-+zi+Ty|q)bt%+ji>%~qmibZwg36Jk$TWL`{&*SQLaWTp54EGe0oao7v9KrxOy5;o49NE*t{mnyioQ#5!
z%P%fcSLwvAO+xnrtK~eJhg#P(D--Q<^H8Nd*E#>-RAYQ*veMe3=H4x>#^m8jv$bV(
zrZzc#uyXr!v(jqS8uhu(3aD8dpJN{Y2jX3DP3g6XOshYmDP#qJ%`yT&|2r%>Djr?>gn0d9IF~w
z290tB{|NPOLtCNrswrMQQNUggRXeLtiDsuOpcK5L&RVzw$}(9StF`Cuq5?Xl~FYBy)b+Q~$tnKUcynP$CKKa{kq75K$t$i_sH8eu}QO}P#BI5M!U
zKC3^fwJTGt`e#c+#k2nG9})TCH}uK2{kS
z*fBNTo~7cgwB2^K+$J(L+G;IM-iY+K|J{eFW)k*(lyZsPBZMt;38snam`rNQi_l30
zH07#ZXo{3aZyHNS{c%3(kIr}0D}ZIGeXzc#vcFV>P?^ep04ohLAt(f)6X3ke*_M5B
zxqWMxeKvDX^8i(eqA3nbhS3_I4!+=KN__8vUx{h>wQIt=q$qa6b*6|Ql#h;GFr4RCIDoR(B0H9|t-pxlGq4lOH>u
zt}iISWR^f-7ntxc`SDPE-c0^4jmbA#Ox`u0kt&7HEOyxX?py3|l)JW<-av`7)6-_b
zk=vB#p`;S~9=V6Goqh&<05tw>DjIgFl)bNTYxoeVoh*CYv`Wdmt6m1n7wvbEZO3D#oU&$aE9^
zXM5J^7t>^-aEIv)#W(VTzbK>>!VCU{hV2tLKGhu|lzW6{FzLkaF9L$GTV!w7pj2nz
z7ReKyG=lzoqdoO9lQh4ZM9IAkdNFzzkqE4XLmvZ4Dgnh)&Z$`}b6+T=HxPpfGBG`jv9)u8;;B}py$NF}
z9#B!nr3M)gh{sU(Q!oH#00?0MECg`G=qx?GMS_s?ZV@RH5YS<;pz)D`t%zZj?QBg(
z8;wcA+PJuUWe+;nG`T0uf$r?Il-1Pwwc2oH)UZZzASH*ae4o`+l-^_ir0E;t*qItZ
zWCh0xxlpYwjEJ>`5qoW6#OlJmr-gg3(B6@UTkQ;$-eCPeso0y*Z>sZU1mmXKepijs`)V+T6&Y-8Xh_r1xQp
z;y+Bf{~<_sa7q6YP&Jf$6PhfyEqo-hxL7B3@?v4vN#6$)n+s_OTkaDRfyKCV(qYeo
zNBvkQMS2k7;W{bTUcN#lD9K$X-I-k{jd1Ph(vq4%qSsY_WiiRf5_h(1>#E%lVy?pu
zTn={4ZT9i=Yt_O%$76%EDbwwBimcnNhPFaBW2&2xW;q?I7GJmh1xSFe+oJaHb=&!}
z1+`zS^DfruhztU?E;PlW4dE*9FbbBh-ThK1su53IC=|YhE3CNRf7|{8NxPAh6Fx`i
zp#-GeVc}P;oX)4Ja?I=kB&@`?;2*EzIaVVVElMDLL~ZO@{}odxcq+*B27Tmkh`}a(r9FH0g+NU
zu`<#~yjW0()H%be&i=O_Q?fZfHRSXZ7)CFV6QfCwHkrK~c`LvZ=N37oUC21v-jlP*
z%>ShiuuJRB$EdPO$=L5B4JGzkL5g%ERye7>xgsX8C19PzQ$
ztTZT$DF1Co?W=Skd*_>uaNm9{4IrttjU)FfA0H_+7?D^1Tc|`Cw_}rG3(4Xm9Z(o>
z9Oe%o(O7Ql&{saRc}M+L%1g7(m#lV!nk%<%JV12%i|XLF=+=!dL)-cqzz((x>srZ-IIa0v)NS6kEKBO&Ru#vEYVZbaGBHyh!=2@{%#ZnsJ@zL(Vu~v3WiLPqO6+-p5b4BC19qh$7P*OvoX?#p
zgZmCkUsHsK5|+LSD-8+*%7>*Fps(hKaO`n^%VSS3KIQSwLPHUt^c_&i14{9cK0oAw
z(v@7b<-8+*D!nC0`eCcppwdc6`az=7U$h%Y`uEVb4oUC8-!4e1Se1dKHm7`$)KTu7
z?13A5Lf`R7tnx!y)hRK%pCG!UV>aHJ!(a`NqVh)q(z_#C6@XOQy!2&3k|iLOo>P;L>gdX*
zE09&S(WE&cS!ES`Hu(2&0NrrkT
zy>oT%O82hsi@UqFl^01$Dei3A0(UxXXG$Px0&O}p`KO&sXP99~LYOvflV(bi$#m$X
z>Cj9{LuhEzkhH(=oU>;iclYeBuCVctKlJJD?s4qpkt)8&VAurE!!rm
z;cava7rRA?>EsAwYy*}sGj64SsSWgl$Z@UA!CJl!Enk`~Tz5q4Z;7~?gm==W>IF
zV=*W53*4E}ELZIcJ5Gnfdqv?|QHPsLwOoUTc)2icTJ=H+b4IyH
ziXF`tPvN8}X-#nSnycUlUhlqoW3gFYC|TObzHQpB9XoH=R*{A>w40s<~H^HpM(dALbvW_{km8CF~f
zvskya0ygpB=m(x?mgj67tt?yE*DH=gafXt=T10D?U)hm&?f6BpCA5o
zwU-O98u59lGfwg-M&K@{=d{I-%V&F+DvoHGAR~q{I#&zCwPve`vXiL(iZXIHj4d
zF+b7XBm1ZK9YFet+YTN+ID0|^k4zq%o!UP$qfH*2hH`XlVtV%AzT<}{roj)>$BxeI
zAJeoM&>F1Mn~GcLz;LyW6Mz`3^5u#*jJzZJ?(tNC^HhGRJk=A&Q@?crgMbOzSBhFG
ze~J!h7jzu9EMjgcV8jo|x{jmW`HFUojTZC79!T`E)@Z!{u|JWE!^OI}@r)v5Z@dL!oxF+%n#eJfu-RA=-*T=yGQzXe5hfPZ2%w)L&Pf
z^=qi)T_VOf@-g;}aZA(oUU06TVb^*neRsLa1?PrXO?Hfz607$KGq~b*w~f4n5loqS
zWjhA1IeQ^jA!TUKj&pEZ+fyMTr*qW(i%_l*YeYNhQdO!2sNYfdQ?df*^tslYB~8i3
zTJn5xuZUB%rNXL6A^D$)))!^>qSV7QSFd>pGM=Zxm_0bKpRn3xP42qqJ_Z}|^@N6`
z^0JL=OTbQlX%u&}F=-^|cH6}gvM)x!sl@kztTa4XurIGD`=WF!`B!AkV7q^rB@ecI
zZ9sBG-vV9e^QCadY7wHOo^HTH%zVA;r0%{f_>Vk
zu4xH(OYsK8PaYwMAWpgDwe6}r
zj(jP0RW`&8Wi57VgL{t@wSs1I@{fKVzlELu3Hq64Bc=0uq^3d)6R>5cyhrK;l_3Vf
z$a|#j4OJ4H&9dDibq~r?jU+*$`t9F_j;z`Jk?%w#oi-z9%oUu`9_3PP5#7Y
zq~x7OI>Ba#=qF<{pAl<=XEEY3qj8eTIXFIn9EyyOP|3r_heZXh?K(*JC?n1J#-fLk
zxBhOR$Fg9@-C_GZ$|MI1P<&bL20Fl|du_xUwF+41kFmF7M@VsIK4Y`&5o748llGV$e4o7>o*g~|(zYETf{+{Uhq@3}kI
zs**^~=R0|!+LdfCck);WC0tLu#=!@^VdJR;1QQy>r3HV&lB(~18TToh8tx0X{1U>J
zmn0!9(Skf@5pt&tD5pX`0`DYR7+<{^qCq^fP+x?U{1593$k6UwNuT_iL5Whb3f*+Y
zf&C7)Z|JsQdFu9wi(3YeNjabU?!z*^i56$Ls_7Dxor>=zlG^w_jH5Wdk4Sf=;QJ_M
zkce|ssleyqa+CS|$Bf`=+z0qvS)_ZD!jmaV6^@xSMI~q=u4CrMQSAkQbtqyHlCD)I1ijBrp(&0q|2
z24>hoMvf^#8v-d)!Z75uu+1wbEOh^0nZI
zakuZC(|arrrwsDQFZQ5B1X~R+C6#h+noskVpZ}UWQtk4(5}!IHXD;mhSRdVvLOt52KZShK}bc>Y5Oc2U*u5m+kb)UtZ?|^2ebP)h!eP@<*(N
z@k#vxVib`$!@~U&NS;bSB%0a;B#fmv0f|U=V}gK0Gl(R*v$XtR{cu~7h2^6OL}(Kh
zWs&Y;e>6p@VzEy%S<1!!6)b7;^t*aGUxwq6JN3Gc62DBSzKg>ALJ-e~go5Lk-htnj
zDO19<>)Q&sc1HT@?r%2X{f6sFC*k=92Q1vF;$Lr%M9E-aA{`8s<@T=aeXyH9&D2fT
zDN5#Mlgn!f
zs3B$%oK4JsWXWy99^AX@@~X&jv|_?I?h4g`GJW&x8oN(U(9}m
z4@?-$Xw~WY;<2V(%Vc4Th_4v1#ZiGBSl1p9OFU{;&92Vr&0KvxXEpN_b*WAGaSI*T<-5(Y-cp!Nd>k>EDvEP#4*${U(
z=;W7?pg^ZI)lJJnoDZBYQyuFjTg(T{bfyof=ZX$OjSJY4HpI0_4(D;7
zgOsgGqGUD~mXS4sx$pz(np8$7QB%O^v|^{*QTz(_>8!e@B^aA{1L6nBkeN{Dmstb~cr!Yp
zR=o^NuD
zBH)m3^yEohQbv3U619K7YBp4Ev8+MX3}fb%>Y7wU6*Xle>WI3&B@mT2qa&g&!=~7T
zx?d_W+>?!BN7Xf{C?;wOP%Oo!*nR36mq0V#kdA1!Y@1@I)V)(tu9=N;52|ZYQBKs9
zm2!`&Yg_{5ctbj(T)%&<5H)aiiv;d)DW8LbMnu(xiRP_A-0Dg>L+{L0;?H_A!s3wadDX`6@A%
z*vI6kV4HMDg(`!ISsg1`o3?9+8H>Zw(i-O;d<^btCMT4_V!TQ0G;I8@lB+^~6y!dA
zz8BF9b^k3|4b;8$`9cJAK-t&tTwrUmmER)~b2L
zDE8ZR+!M4oYb`hkk#WQr8!*xO^;lo=?vNYzSuzzf+FYLrUBY0y1({-YL+O*>2oz;#
z4u;cI`)K}3sJx(2DNIhW)pILrUwl%(K{=~$@&wBE8dM-K(9$aIGL%%9;n8Ws`o$-lcB>C6S^z{7Y887ti~mZ
z4uP}pg{EFb6iPfGxD<`K?99JivC54K^4K+VTcqeDT2juSm3}sk=OyZz5DSZS4b*IR
zU8Ya|@;ViZkB7=rw@--0Z?pErC-sYkF^j|*c0hj@$y14iL{ghrgmDxn77^+8cE}>0
zsB~HqgdyC%WbwH_fiM}xXRk0jc@k93pMf$W#fNSQ(hK!k(PYk6eBXj!-(uGy1x8w~
zT-O2DvL!LcW|J?WBYrlI=QW?$JjZ$;DK_-UUtXtT^X*W1>h=k-d5N_zK4~Xn^Bt6(
zN^B&O+QcS|qd2jNNH>~|FC?vaShj}BQ@2kD%eAb1
z@ku)omTf3Im9R)8wFyfYM{&Xuk#1{RE|FArQfGmHglkL|kiG;|XA}@b;KWTMKDRT|
z$~WPEsVx-e7VNU{yQJWTIN~AQNlboO56^2ZR_E#!g#4Tr-X{FsI9v@^+iKxTphg3?
z{vb9CNl55uS&BmoxlH^hbh3LHk|HM;`jkmt5*;_KP>JzkK(rAOb3bcge9}%N<`l|K
zB{33BZ4wj4Qk=v@q`P-nIS9A=`+3NdvJ=Z%O^{KCjc~t`e(2%1qYcegu)9<{9o
zE?8TjFXE^bxqsr~yFAHW{uG?P^0;X+O3n_{;zQfxf1Zhzg|I!%dLAik^l5p8
z?YU5i@e0De52sPO}38?5qIpFfA6vSpg;s%V
zxYlG@_)%6_P!{PrK5t5~MiTC!Wa3Wg9@@i_CObZNPwST5tVz#j`7F`O);Y78*i*PZ
z-$j`cEb>0r=jjRG&B4>U2@{~W2L_sG4cC9xXo3`nqUlmvjSLvDf{-UApE&26urGRh
zHhi@QwtFjzmI!)FN(Y1LS#ZuwxO2#%8V_jb5UfPBS!P!1|
zej`iw+)bX3P^R=Ob(435o-@>#;HwX6xPjR6-8~cd?5=Ju@}1B_o4MEQyJE@=DPMn(
zx_ceyD^6@eh+Xt8VTwb>iwTXPo<9@H89$YE(sN#Owr;Knhk8rb
z$yg)@8TyOoq~EcP$%u+=A*zK@p`5$eX!8i;o_Ol|MjH~_WgczZBRWDV-NztF{xda6
zsIg+&`T=E17-O<;B=7VN&RZy+oMg0(Qi(4JOR;uBozp5DH#(HRP2c3U+so
zBfbRDv-V(6#?`bGYH=?zsV12WLfv-KXAotl;^Wn<5g33XFNC76{;><`HhNf!z_dh5
zLORUK;j)wEWK{yfi1ozA>P0N6dSi9m>xn!e=DkAa^n%UfTd`wfY1ydlP?!*`w)YZO
zY!<&ggz8i*G?9RjPFQFXWv61HJ**LNEJR7kmxVi!2ekIqbDAU2TqtYMU^KuK;Ho`Z)SMxCD2&Ln@o5s+)!5_31
z<_FUrC3ay4)7UTN!L(p4{!$75;@sR5;vQAZAkVYgRU^*LeG^wuIq`9Z=reEKCuHl`
zueR1*OErjNb6)F4j0wE=-ES_V4e{Nu_83F4SD}mWIW1*mA&SqVh%7XS%N%XEa?m0U
zjvjKU+4f$FknuT^zG34T`j`4T5Q-f1S($@H4%&d0E$uFO-MIpuerR??E0;@-7K96`ei0__VAM&w(6GTAJkL3A
z_#_1q;zg6X0ORZkHRS?qxyLx);f(X`tc+uPi*oP?LGDl!pyxX>N{--&cVyo^p87uL
zsaKZDQxqX6lBa$VA!wx3b&ewhy%D0~TNxqf|3Y=eujts7bu2>AiaW79fFJP_U>a&G
z2BDY;LE)ZwT5DW{ATh>KgdmR}y=)`KS5TodC^RyuWO@NK#V1eyR4TJj8NI?CFZhep
zp+#UtsKjoBPA`!gI@685*seFP;`%JpPFE_;D67r7-7LV8zMU|;!Wk&o%_j8coOnOw
z^t*2=<(l4_a@Lr-WnquRY&k;+CkZP60;XY0gw*aL4(8mQuh_Wb=CPItFEu#j^enI#
zUbu|{`FpV8s>2bZ+Q35}uO^4GPvWsxJlf3)p4K8*WNr=-Ch04x>q5Jli!EpUe7$bf
z>Xz>NcxZ*Q7M`jWobz&L=x(bP-V9KD!A1`E*^uwIi6V#j8y&GF=}nH}hvf>Dyh+#c
zphl5FzUXi2je67KQI%SURyw_VpYH!40xeL7!UA
z+Dg8*U?UtTFkZy-O1;){ETu~Qq8eZx!OETDq1&mf9AX@jTMRlPTG{OiL}|OzkIo>3X^mf>2Cfmwa&(cg
z*}AXgTu#4G33d(1NCpa1X+@B{ubDqBAHkwSBvs&?+5#A{Qm&S*){%8voq>kl$N?!j
zWU;^y)=zKd@@P8=hoe!*Hd92lYb+v;VvPm2LoC#Bq%_A{&SjK?H3T_wmX6qpki3?&
z2Jc6&+i@fCI?$XigsP!8UNu|XYRF51Sofsf94qVAJg=-?7%y4X3M%Wd@^g@;qE%`g
zTH|a2Z&q_sOl3!M*wq53oORZji`Z*DlPe*#YlXtQwy?>AfPO8f->kx!Fn7NV`8I*D
zOV~4i%vI`zyg>0L#F0gNKt?Wiz&1lAa-XytsA2$vlU24r2RH2ltqEpP3t6*i58q1$eYY}yqblt+c%Lm`9Oj6%0>3Rn_lwYBgPg;xp56ZX8G=Zxq
z#V~;F^iWRPTBUM$-l@{QDVA-DWtn2hr|i;ZO2EqPFTJlc$_hnD>V;B|vzm9vn*+MU
zzUI})Q`&rAtF$2JH8)hB(^WPxyS5%CE7v2`+)d7d9a}TlMW8t^@O83PV=SD7nK=;U
zdXnZ;s2nerzHU6Q3K)Bkz{_0#-y>j?$?yFHzOn}3s|1F70W<=&J^+)zbNv8cCUEHh
zz!e0nL4ZX9+lK&l68P?VfL90{xD?1oY{su~0xRAPu$sWX6L^)t*RBEh
zCjwu%7T{R|PhJP`83Jdw0Q?St`?ms|B5+~^;MWOEYy+4iupcMfOyIej0KQD%Pu~mh41q^(2Kapf5A6nU2t0^z@5WgIckTr^
zN?;d7m%oVs6D~5IGE1rP=$+x)c}uQ5umq_@;%yM?*`P>a#-|9-)zAiA9c>(ez1*O~
z*K8nRIy6(6mAxjNI#sXFuj$Hm*7~P1HpH$ilrbUFIFDhMzah=VO~=P_{~MkTBRr-)
z@_m=HBTIT|=%q~E6DYCAt(9e3A1I&sHj~zSS-33myUwR`yomBlA
zawwNhT`c?wEebAX&PYx-B3n-#oVtT_8CokH>V=lhmsiHEE7{uB_j(!
ztZO|u^ZpO*BgESjoj=Ts&i}}YPUHK?;bL-K222iKP?+pHrG
w;K{YH<~r-8?a5V+n3C2fU$aGjU%6JO*hQFp>I<~q?=6yfOjwfm3UloL0gdl&$N&HU

diff --git a/docs/build/html/.doctrees/classes/spatialpy.stochss.doctree b/docs/build/html/.doctrees/classes/spatialpy.stochss.doctree
index 4c7328a903f201e048f78574fcc7d2281c50b83b..f901dc9777572e91da589d44668f9bddfdaa5350 100644
GIT binary patch
literal 15653
zcmeHOU5p(`b)Ns3d&i!!y{rXmn>1M<*ICb$<)OSvuI(6z}i+}#mlQZ(4SPy+}x%*ASG+obRVIo#cuM_u}
z8znC#Xa6|)!=xc;j4(tYo)=xC
zr=C{K*e_n%U@u@@qKU`y2G}Ne{(8kIq9c?0hLy>MwrQ}PkC^2ZppTi`jjEi70W}D3d
zuAAx9WWOm3O}~GE@Qp#ZyPDUX&NDzZ3t81f4LWP=28Pc|@)Dol&h$pJLe0=__9O1O
z+T)pp(7Ilrg;p(ZFm#v!V080MZb
zS(+bsZHM*3`eo1W2i7i+w8rJL+WAKxd!M#}pY!Lnf+dsfF~{>+5H>SV-aicIO2K=;
zz^#L0-GX`hRY4^~Dg`AmMyDuwVB|f%OKD4VI+LtiR(Q+ShUclx>OvXnK1smR{
zHD%-+{%mj#i>Wd-%a!8fP&GUl5l!B0%WXX%Y`pVYjr$B%4(zP4ccAnROi>udm
zT35EWwX4r;X&1Gd7q@n*h1tSDKo(jrj#a>IXsynW~-_FtSVrxl5VN
zctei8z|o%q5O)rbquNLu{mJuC_7L;!m>M_s7?i%ltUb)Op><%=D>}_w78s6plk~Qu
z-LN{$4O!iAJS<*>8q95BSTNn!x|-`n=d=*h{#!hX{0p0#w{PEW?z(Z)3wAfr3bhb!
zzF*C4gP#=EJ!2@zMS3qg#VmZPJbAQ~!#8Gdz_D4#HV}MKoSr1GOcf>*D6=Zq8?jO)MHG#T@1)Z%4ijj)0Bz&!{D=e$tGsp_+7@(CY7H
zOVOeHyQL6L61GC(-O9afoYfkzbjpXD>N%Z-yEo0xYpRBmk?x+_55P-Zz^1QLnyGBB
zHiMlVzUZNa{Y?}HmDzk($}_lS&N;Ya5r4Afx$GPi4z#YGI*7U?c=D>@gzT)GEB^i63#4*ppi{`OeDQBvIS%
zITyetZG~4*C1k-Kle?#X1teZoy@>w3_oegMrhOiST$4f`l<-o93EEnp6xnN4RzI2~
zs}+)!64VNHF)Sngeg5yHD?ca%!v8~VKf%@s$rgG0J@U}uF%@wJn2B?TK~xSXh19&!
zGNcw|g96Q}t1Wd-{@esY*im``U^`|n5L5QNeRP20a*Zhui)|7=+4TXh^C9o5e>
zgZ)gOKh^zV=5H!3|L-9y20m2G6k*Bcp2co=unHz(J$uv*x5FzsGtDs|mnkxWT^1$c
zEUlRo+M60~L4*?ZEHmLhmi`VxFNl$jjV;n5Wq%4nEe52VfRYSemVrHlL!tZ$VtX+4
zUfV`+B&n`~ONz%tOm$Siq~r)*h*-f^&5?$e|Cknte}XfGh2i=vIC_QF9Jz2Q@1Wzk
zQ8@;kg+Uvoo&Vd5Sd6stTI6Zl6hp?g4fXd}fE6YK-oc1-T-slelCuAneq>PhAQ4mw
zj{Hj3ev+mAH!05$XHC?*7IRE}V4=;tJVfN>_mY7xKBZL$m&*FhZ1pa}&!wVVgyeVG
z{{mhH7tQh_NTB>@CF-x!k3s~h6s)&Bvp>WiKCiX`Cl-w#T8##+TM_FGS1;m6zpJoQ
ziVb(LO>fH5=F{Zhp4B!sN^!p&YluH&Ff&Wo%XWY8pdECMJto}Y0K3W(7nz5VhVMuE
z8~-&$bYd0iANs6gb*)Zv2mV6;0(gV%NbE16F8tH}1*Lo~67$cLn13RhrM-~W7+Am4
zPw>!v=9<`_==yxP4(ugY+$6`s89APD5^uYkClqBsz&*8
zB%iAs>Qgu*9Zr${;VGnLq}%TV@gb0IfPB0#Ql#g?7(#mfWhBz`uMZz&zH|AA1CaxK
z)c)a+eR+x~N$Q6{_N7riz1C=Zo?1qp;|vH7D8h_jA^~1ikhmWY^U=G3boChhF&CbM
z|EH%6bNq~_@PA1*FcSXi(^U8`kPtF8RWDT@zc_`*k^+2T3h6JR0Dp`bTJ|(r;ndm(?R#C?&ZYADG!IzL&sSkN
z5g3TFpR#9AW72v}uuK6&bMs3E(5eEECcVMb%vQ>Bkx3xE?EuWCKzb`l;($P^OX$1^
zH%R#njS)5$m{=gP0hjVUQ#kqs3}o8hR1LoOjs2uknEuBVcsDC)|;DifyXn1qBv`_J+kGKuaOID1XUjocJ(QPLWbNtTE=t8c@pW7WgM5qy9obbWfF7$recW>~Rhynj-w(&gg*VYtBQmlaOGl%wvTLC<@DhLSc^fN>vY
zQKbmE4>>QO@(&6se}7o0*ndYgWFlB@PAc>HhRlab5%Go`dx5EMC``TbS}}#Bu+fqf`(
z`$Juvk-?!h6S4Fm%HAlQDXq6eZCB=NQZfo&kV(zL$mscaSykQO9MHXm*LwOI2M*qj
z;yhTV8$0wB-7V4`3!MC%=z3m+2rMgoygniB7qqdV1_mJ*E}Xi$pDPBw#Y@#G(5F$@Mu==LRxV($__CobAIY#%Q8A
zEJ_zm){b}4-Wn2>T{??HyUggJq!tCpKchk6)Njpl{W#K*Z;3>9oH2@89CbI|yCF~T
zPgg(cEC{?n=SY2ba59dG!`Kiy5bMa0uC}r$TS>&3fiDA1*pDs%(rc>Sf`_d3>FS4p
z%HkM}A%vhfMC8bvx}%Qa?#8(N1&LEu#T;&#i3gCz>jkE6GCG$;H*`s+C6=H8w+{T0gW8EB^j9j@+vMF=C4q^V`1NojD4Ns
z8jeF(aS~kMqf>NoMCNblX#&?B
z*{w(prJICz#5{BN=-Q!JQI-Iz2NWR?Vgc8Yt}=h*oF7L=Kt+TLm5>c`+30qnI8iC3
zbPQRH*1Gu%B|Os|MvyO4p?YrEb?B$PjQ{v0{sCKH0kZGXe{)p+zqA;N8qrgbMqY)K
zHCp^qOA@yvACR

literal 16109
zcmeHOU5q71b)MPzy?1tJcGq|n7%#MA6W@WI8M8J@vc!b-c-M?}_j;I_#aRWb)Ax4W
zsqXFDebYa)GXW&$0kKOeQX)4ZkAQeUkx(E}q=*NiJVh3mB#snC%2P~)2n2ydlD8=N
zPF4TkzZne1D`%zIzFl2Er%rw6)H$b4y*TsP*FHEQ|B0ob$1V3@%`i>ZGg%OedDCl0
zUFL@IOYzF@$DfQFqUIZS0x$C0EEW@}(dL$8`pk`Ah{YmR4=pEHOWMx`tQ}gOn>FV%
ze3s9>5I1;D%!F3xu)-(t_Mm5kmf`dc*MiV%^B~ZAM*Ft0$6{)PHq*Q8fQT7Y^;5B=
z6hl2AW_t!`3uAsp)bwmJd`iqFb7+cb$8uTRj9P}M8)4{MttiCYX|7Y28PL4u+Kv$f
zD8%m>*XXKW^Jdh`Us@p4XC0~&iMi0&qfaqk;>-Lbe~3@<^I~)TX2ASlz2zSot{-&+
zcDVjb!r)+iN6mffa2<38>&cMoeJok?1I*{0*G@z&zMvK*KU6-#i}U
zt`-X^#`<}{7GgTi^o*e)v-1C
zY%`1vTJhh)A|-^27mtJBwY40)>&Zf;&xD}0-r*%eJEr9BXgJxV09x0iUuFNPCa3TX0nj^UCXtC&}u6>
z4f?71%#ccK)wDXDC_uAS!`xSjP3!qy%VFK1zTx!_eQS@0T4Q5HyZHF~eqCF|sTv%_}=Q+STW_waePpj{X3ExOaRU)du3|)3+e(0oL0wHE!%P2z{Gb
z`&ey5YeT`8WSY6mHymw?HYtitDti$@zftY`+K9S%n7
zbnqGR&?ttbqA;TTvHv#
z1C2uEHNcjghRfJ4tXb;mO~5b27d^1x6NQmqTGuBNnn5jdF2GC+`BP2LWfvfNsO##9
z;i$_BPhB;ffUU^&ZeYlhvSadB$=NEv<>9eYN-=YUn%Oc-;QaG&;55VnCb`-JdWjx!
zipZ0WoP1|RXG+u#y3Qq#Nsjb9n!q*OXVS;|CqUv=HH!H3FWTbH)}DMru)HQ&Ugh^}
ziV$+s&x!Q4%()+q;@muOPO)vChUn)Q{~rH$lAIsp?BU;+E-T17E6F0Cpi6c`;MdLM=1_T(2^wSnr%j-b!q-7bYhrhI2+ty0K9N4p?B<
zsL8TDgGbT-PCf3_VNW<_Ps!^1f1{Q?ji0HOAs;FcH#KFuUi=F0GUTb4sFyO~k5acX
zv@s}hV4uV1VU%n5CgF5Ot{ZWV{30Xt{34eppGwEaukzqejvQP}di`9xNKKaQWbB%l
zwOkqdDd>%9(mm;z>ZLsFmC?gO;yXsYM+F
zwwb?&frjnn+9W7?h18tXSIXjOdu~{ail+hCMj@{7Xdd^GdxaKy+73mv;S{3%KJ&3p
zr4T$?6xz|UNwhrku#ZxFUT6VkEF3<`
z8ckofLe}kXo=2@dqA*p6R<{uxSd*n|H^`V?(N(GYgnZeNI^G4hDy3
z3)9<&FI%7@wO^70g@M-0e;;J(8m2&A
zqR1x1>2wCH+v7%H1%*oD9l2{zWmzhXqpFl4vvi_N-Ec>e^xG+_y=>R<7-hCe7ufW=
zhULcMMDH*b3z#S@Y(xmGFuo_|NFyKiSZsd{+>zB21#O=}-?DnpV{NNrwd1=m^A0az
z`JuLB`>WJo9tBG8HHoZwMOL;5lPlxa0G6!w+KVq~K%zSk1uFDoP5w
z#(+aC8!dh)Avb!xen8k;w!bH<+W&z^YO5qr%jNO?9m|nkpVolbNZH$h`Ah;vL15(`
zA&!)|v*evKCy_b(zY0BLA4+;k(U=!x{E_PF8ZFyU^Sh$_?L^X^mDn37Y4oYspIt*i
zdBXN$p$PkMm~CM4cbUH5sq{CR*NJSrfJR4^4f|14K89?xP~C3ezq|Gd{Ulki--BO8
zDaaVqCk0jhfQbX8U_iY`j)H}Zd*Vpd0nF-1<5B+%W;=?#qz;aO`lknZ5L%<PG
zyX!~TG!g5S5#fTFsy0rI_DHpR0%$*%zBB&(e7XlPrl-nEWw=}ecyQj9?MbvaB9v%t
ze#TH*P*BpO<(VksQd!0_38`N`&h%1m>Rr_6h>)sF5PbqBm9jz_1GF;GF-_GfhU%{#
znYP!VQj?L#D%B_Cs)Euf?Gsgtn!b(Mc&H(U0y(%LFniNzGYr5n-@r3eHC(6Vi*uRKGu{aHft
zvi%Z0j_U1Dnxg$jSqqt5cp8-bR0ph_iMK0m4al&I#V@IE{V8?jMJZ!0cUAA7l(S@$xqk@GQTyi#wO`FJIOvG1;-kv|?Hi7bf~1sSavx@w
zC3v|HDbIoPHwrj^eO%z!-=G#UK`v7@rS*JE=7}YUcuUSb$JE~`Ouh2cVhYJ}gE960
z`Em^;m%M>VdRT~msjMRZLK*=0nJ3BF|5h1mxNV;0$=TmU8?p>PpU?^=G&ozXZzg5i
zdBEnF>Nw=g74VohYuI1G;9@DU$TA}{H*%9tx&1lPn1#uhcV4)1l-bhh?WFv!%ZMvX
zeM3ztdsbSfxXm+)xyfxMet|eUDHhw2PxqSi>=x6>v_#!z67vBIL!6P}64x0Vy{lVU
z9h~RE>^5UD`%%hIDV&QfHAQVtX0%cY4qlLJ&VtbB_VBWxhQXPodmFFys0}
ztV$RzR#1sf*|d6+IzS^P4U$V)O>xp^GOxy=`xWuE6Qa%yK!-}7~j%K;8f_i@b(b3^z+EFp)y+{=vYB^Ku^Un*VL@0$js7gfJG4QcC#${#9?
z#c7&D07h}J$dS2*ryRrGi*Tn79H-2X6S%u49zdeA=bO68=xi0k&=sSmn1u*+kZb{t
zSf-97#g27Axe|*;6nc7IBu*gF16goUx2I>o17l@@1
zGCdtRk*IZ=eAIx!$H`ktl(dmpWd)Xk=#q{se*?E~Fp-4Hxl|zd1#uFS!TlYioZ^ZF
zIz5$C(
zgtFf1yB~iNd|mWA?aDAzk`MDM=`avlgP?nx`D+#nJ8Cemz0Sj~gTZQ{(SkIY$m_c{
zFU|v-T|E=iY$CeKO1&pe2ZwHG9OxYPnjE^@6yvrer38qRGKEb~a@g)7=_pTW(;csE
zBrHDP=19P3V;Pm)f!mUmsC_%?;V7G~jLLhUi9Wao6nSmS?Enj@f;dYm12+rH^-i*G
ziV2x!??St`Z>uz#8+h}2omif^JF&35y;aWlPG<5-*Ye9$I=iFE+_`rP2;=RckF#4
z?@f4@>t+6`WRbK9qzPc(0ja53RGFo$aHNU;VqNh_oGOZ@gv=@Ae@J~s>Ohr{CQj=q
zY!*vYJzQIcD0f?)lS#X*`nF18R=ZZ}v6hZ18=Wonk4@DNX%~O6+E?;rLe#NOv~hb4
zN&uNGZ4c>BG8hV5VQwQSe+dHdsdyW@4%ybwo)Dct$~8zon{5}R;)SeO%ISjTww=g?
WmiG4Oo_5`&9W7D*WN1aLwf_UXp>p~F

diff --git a/docs/build/html/.doctrees/environment.pickle b/docs/build/html/.doctrees/environment.pickle
index 229ce013bfb21eda6fd99e21e7ff525363c1ebeb..ad915c636278faf58adb7226bac89bb8d7fc7b7d 100644
GIT binary patch
delta 61422
zcmeFa2Y3`m(lE^I&MN1eHIhKu6{}Ss3j`7wFDnE%3t6nB1+9>FSG$ryHXyj*DBEx&
zXh(v5&Iz3441Vw4I|ppw?i@HL@Yw_>;C!z$_FvUKGdr`aFzffu|Mxx5$77FXx~i+I
ztE;QJtHW;Em;K(Kv-x#~O{E+8`SDfd?d~o|xv$IK)6?##+SpYdpQ}yU`P6Ft$VzQm
zxuw(HYVR!Xbheax`g+>kt}&L0k1piX^^e{Z{x7}$>-Mk34bj=-zplS>u)U!@w;f*w
zq8*;zmS%e|;Clz#3s_<-P3*M0miOA1I|kdcA?u;&^h}x~jsjcVo<6U0d3(=bdpDp1cBzRlV5{5J<8`+5_5jCH3F3~}QQX&$z7dKVjpCP*L6C?iVts*XE=IfTW?uwG>EYML%Ol2;kn+xy8??CsIyln1#-KTKW9ar4Ak
z>32LDk#U2Lnv6ZX`+S1~2B)jdu?muM
zADv!g=fsyru1n8p@9FXQs>{oJ-0n`F#p&o-W^sF$iyfmzb6dpCqfFx8M$O{x7PE@S
z%z72-IH&Hdt2Z6`=Nl6{_Q+o!?0NjFj(y74{~Y{d$7{;hcjFg#>{Y(Le|o0)yW+{&
zNa=<_<3MS7ug|MhTk!!?rg&pnyqIs!&aSms%JIJ->MbrTF^VINc_MF27LOLkiqnm`
z;-8Fh;we)yS0wH(NfBQwtq?CW&Ib%ZY&K?7Xw2wjF|8yY-V3s)pMm-frKLbUS+tp>
zayQVr{=4`+JbJX6XNA{9@d%U`Q4%L^F&csIk-%qixXiAA4zEL(Z
zoW6gf6FEx`_o|p@spTe$%@!k9BVJ`G;3kXrSuQS~q#rS&w}pzUqZ-~#>j&2i8ary>
zwf)MDsqm+1u%k{~P@WU{+d&BiU%72_0Mv0FJbGK~9dqF?W;=)B&u4$?*`EgXXA%9=
z+i@=Z?U0H^9XwO9`^rmz+kNHvjt*L0E9Cv(l!sb=rt(%-V0o)6@|Usly8oBuVLuwS
zJR``pepx9LSih{WpB30o3+$+aKLh$oOU0lfbVz9*rABi6T&edCM0L7d%X^$Xoem#u
zZRp(25gn7E2&M?wtkgbqpunldb)YDyUFe`Z4)9>3l-wgaCIWaMx}~?X)6vu1>Gbss
zii1IQX`*;ZRYruYU*g)TapUC=AOXroDMfl6%N$;ZtJN_aojUPYRsIyr+A$j+R6p*9
zx3ks{@zA_%=od@Jr1Vpryi*}_dnjZ8w`ovP>um~&TPcZ-&G09f7>pgas30g&rMDS7
zwyQvDNXK2n0jR!2FYaye*jrb?D8Q%Dn*j}kN$O8PN|BWCQ(adQ)k9+o0!8%)HJzU#
z1Gqs%wVRR{R#Y8Z0X`58>el0RIBdh|!`YjlfiRC9RI6vO<5lsNacg6a1O1MZ`1nFE
zjvC)lNVVY*mKx@B_j*AG2gYcJZ{n`;75!A>-UBp6j-k|l6BbBGu=gTAGcw%v?%I2R~oK{8IP31$Vv7|T)CKd-OPEsgjpe{iaCq5Js*vAwa
zfr1NJ_#-;}?Z>+MPmy5dcWAtzpAACW?`JqtWJC7f!x1
z0254?>qBW0svLWQ8DMKDWYi7oH^6f#iD9jZ)&SQ6jsIO|S+g`_COV^mD6qm^?zUd^
ztxP6ep;ShaN&JOEV29}lg-mdnEDwc*Q%%FKsclTIYWMZO7G7;l+3#jYz(A;F2S!t
zA@R$qVV+oVO}aRCrlf`RbF#oZhvYa4455y+_J~hgP2#j`BKqYSiGNa)7YeoD;>T&mMTA@R#9X||ZSDJ4zTO7)m;fP%zN=1AgnhEfUHYR;_;6z8%~$OIQ>
zYbYdsL91D}C`EM7%LI$b-V!Bid0i;{N|HM@Z(N|{t_g)qaLHX63W;A<5%a{2x2KEa
zt%|jT&j4$=GZgM6IX-P28z{$zLLn1ej`xQ`;uq9F&Q_?J&~vsTHsEgySm@)M{%Iy+d08KEy5?ntLM^xe)6bs7FRFQU
zi$)4aN~XIIg@Q}ayXx`!fzj1Q-VLM^!bCZ9El&R=qTI9w#tan|hmhk)mv
zJ36rEwuC|^xZs*YAu&uOlMSqYDhx@>*IG?~B$LI=eu~7IBbl>8nR2P6Aw@FjlHe~D
z$%OSqwuICHoUj72rIYTiik*~Y{`$?8HO6W`ByrnVsIIQ1n18
z4aw=zeJQ_`(}PVe%;~KHPMFhc38g8hV!Rg2={1K!MlA-v(_2DG{GZ_T)`wCVNhU#@
z-r7*e1eeL>p^zBH%B*5?{kJ;3Q}*%T@J`wDW-MuTtn#?MJ#wUwY1N&f@GVJjXG=|>
zskuEAGQlOdH53xRpah4p(=Ua>t|Yh%+bn^C`%@@nf(z~sp^zBHMl;p>DFaK(AI?TI
ztMF4K&TOME3Z*J)X-GDj?&TZKM$_#C)?v1Kg}lc?+8Jo4yW6e+URZz9MbNz-bhFp6
zn*$lrPl-yBHr1WI!A$v&KUZ3QQ~o_A@r#-A7nhsB8oju@K#DGnqS89cEj5xLTG~%r
zkths>j9P8{g2)er#4w#Ghqe8`(|!Z90}-=U*}Gu-yMM#rbh;?+PiLw(FO(`s!aVNG
z3$#eHLm?Afm@`5l@yiM`VUYu!pwqQnnCJ8Lf>0M}mds9vGvRiHQYA^aeJf7eQP&X)
znc%`*9tw${C)}UCy)|~GyS29q_HD8wA-^58`M0VM1OS;_H-=IhNv>gCMS)6teJEst
z%k^4HVpvny@d0F0_UF~9_oDrrZLNF7V_lQDC&ePy6(gU=lG&bn+|k-G0>X0xB>}rx
z-*#p9>i}RaVuHK(=hoOCN@O)YOE(0J^#|FT$!y-)(@;qG*M@ToP*wjC3Yp-ldN33c>}ZFiU;dq2Ok!st^+2I-
z5)XFg9;}TPA6i|8)K;&Er05g6
z>>hFBZOLTa4lYJ?ubI!y7oS}-FPZ{NX1crVPO-Z$n{M^0Tx*1^7q4B;N*X7A{fGd7
zSaI4FQQ{A4$FSt_;>C{^D9P^ru`GG4$Zg73lHc#IV##B~yvOpCn>*~Gd6$9<%nc`2PEo#g`l;+S_9ATe`SZ~CBN=vXcI)wP@zKU>6;SZJx;9nO*$aW
z{Y^JKpZ-l3t8_V>9~8Mq(-rJXev3jG`0cOZnQ(;@o|j$G3(pf*te1Eo-8HaZ@TsSh
zl{~xG=aKg_I0IRi35^y1OgP~Ga3$vIxvCqa_`XT&iffp-im1ek#yf
zcl|~NnND_kbm;);g4A1Y*d(V`=0i2>H(=_s8zf!K!E!}mlR@-tEC#^M8yCRy0ms-zaNwY
zG?{FCT$d)!e=P~hN)_+fB-N=}T)!tpeCS4_*mrG$xPc^-JS!I`{_q;M#gfgEVvHAK
zUoD~;6U19K=aAhaxd^guJ{K)+
zxG|j7WdhmwQCPCL<3{XbF*jjrt-c9sdxE|%y%}q_=VrNfNR8F59MZSk;(}-Ftrsv_
zGf2Z{x?J(fTT$yy-ui2nT0?d(0C8V=t5JOFw#h7QjOh8RK-n$dg5AWvM+KH^-l>>YA^(gU%oh7W>l%nn4{$z?+{YbR<
z-p(puCGn9uX1WF0bZ3b%?m$lZKHQ^%BwXH&!8W-IKid{*%$H@X6xF-P{zg)^%ax`-X*)(H&oRnilS_!KFibYizs&cn!Y
zD;G}6!Kf$5YL3IEDrWKvDQ?$m6-e+kN!sON;!O-NWp5edx>8(!lU(aGaos+iG}ySf
z6g5R0WHh^ayTJ6bnoQZ7g;>1UaC1DXXc-pT@bYvZkSa@K|IM;A7~TAOP!G#3;gV=D
zhfHwdD-=bn-5(F^HtcVSpw6wx+bf=YsYrZxe*q-_xW6Bs{eM}>3YZ`}7S<{-Ov3gI
z!_*A%v)fP$SNs*N;46RaU^$H9yIWWV9DhR>Fz`2&@IU`H2A;*QFNmULj&ALA*v0Of
z;Y`3A(c+fZ$1rwF;nE4Q`=Fc}1;!>v%zq;WvYOvO({lYA*z-Pq0~K@To2Z5lym>(^
zC0XWidz?LvE*zaws+PB~-?hDk#lQR(s;Th+KCd`ng(r7!s(9o8G8p%Fsqx3bkS9aD
z;qQwWGlh$g#hnFW^xFcUnct=iyxq!*8*O*F+z?g}H(r?{dfrJAC%%$Eg!8#5;y#~?
z@EfT5cThSHy)y}(N8gzRPs_VVXv4dhe&Su^sQx{Q^B$%rypQjm_pydAzYjI|-9fD8
z?hkT_`yz1hJFbJV^9Kp^gCx{(;o|$duod1pSOd?jLv`?6a%c`~i^-(+fId^qeju5|
zHv;NAhh_j+_+SD9R}wl%v)qs=UiSgIgWVrU#;izu?}0+`!2`)+`G=8_egnVmAJ}O=
z{s(e8|3hUwy5pf-L=+$XN0gZVVV)TIQ5+y-e1uh5^$|9}uKQ5j2^1^la4e)`9iGOx
zs31GH!VF~Mkv#E_?}Bb{`!Om|8|1t5)2HCs{Mjye=6{aw2R_I5n~oEBR-U*Go_kMhg{S-E
z&G3x+=SFzm`cF)+{sNzGebL8CUM%kW*C=uIzt%(I5C8fD)2iuc1bjVSvHP5FM04c|bmUicEWM5_G=LoYzryk2=U?5)D9)29)_pTmJa&Af
z*zj$NnDY%<0P{EZ!t;%9?ttfI-`)vN;k#Sl`RsRCfhFH>hvyI9{Yf1NR_&yJN8iY}4i)(PNOD0wCqQ};slA1ZO;^D#LSGfu<$%k7+DP}s
z91R2{sdF!(#L4Fg-1rz(#%5BH$knP-S}-MrY)IrR>SPB?elL+5txj%d$+gW~0)`4=
zQ`KdzP%5-Bn@f{J39)g5Y9trAF^Q{HSEgHCnVl23bh2#+j6>C#dRT4plR0Cosx~Vl
z$;GuGBAnsxSQ{0q&T<)fID@MYbNb^n$!o~*Oh~@2KVFl(j#Q*@Q`NM89ZB+XIE-M#
zk^54(ShW&IH?;^?lV_9k9
z`@c%nD8i;lQoBTgE%45{-x)01_;t5#%s9yuSl{pi>p@C`ERKyrd^|Lq8EXFHdmuYeTC{z6-I5eWM7LU
zd$YOeYTW%4cZxdcZxpLiTsM%QY1KC)$^IE!0S)q`Y1sX{()-pGLhpkpP$I;6610WC
z8%bv5a`V(B9gHM51tk3=k{r+F>eX0>Bgv0>ToqZJ$7QP1k5MaCDaLHb)A0Ez#kZ8!`kJue6CoH`E?`_1a77}={u_6ns)vnl58Ch(y0}|J{=dh
z2sJ*8;l9g|frpRjlGUojliVDxkY$|oi7r~5F+7TDG6U`{;G)#Ps3_7sNumk?s|bx0
zVp&dc1BoFQ7jkjxj0ub#fF+Y#kLVKAu;eJRXBk90Et`uqnw>^GM$RHm+Z;{mi?~R2
zmdq$}A``kBkQ0}@s1Y@XB-`dm`NrK&43gY=hZ
zJJaka@>RV$%Yq|1P2J}yl@zU8w61AB%3Wg@7D$X;RS(m9)S=@>ZM7FEjUGeBn7AZ0
zbLWwTCT^m-J{N)v61ik@uZhc6ce%zW9EgzpW4KH>l^97*JfVxyI_*nHe5uxa+F2gI
z`Gnx1*3`5`k(-jhId8i?S=_TdTGQ0av8phazCD?gp3lXqne31nYTNDEny%C(RW;#`
z+zho3@c<*rPzXm47^c(=9(;^d7(8T(JMIh^j$BG6XLALcEf6m*`+c0I#6HFe!pN;=
zE>11n)wCIDw#YkUG}-!9*~-hbeg0QbWCxfaO0us^tK+}*=gX%4Qo1}&W8|-5dJY6M
zR`}W|a&j`L-M0F;WDWlHtnTd=tv}otMK(?Yjep6)RjGwPD5d9=b7plqk<#z4fMe4O
z?$OHWW(oLYIX7ON={6}nzJeRAPTwY_H&$@v>hwGOg;><-cS-5MR6fb9)T+z95^zo>
zSE0`IfRqk3%opSDixTG_(i((^C4^5ZxiWReN2GM%E?=y@KQd*O*NgX6s)i1aODI=Y
zah2+Xh(=eYuoXUj0AL1%_#lP
zBp-)(>mJI$xU_-nJE0F(tLe+EpGk0yH+(e;N1U3W);>S>k`wv}HKD(vIWL5QQpmb-
zoW?u8A^EDyAIiiSx5mdEh$2VFafNDOyu)gu7!Dfi)>@ADqsY3soIoLT>Z6w02T|za
zHKWjvB)NYxp376C9*rXJP5|*hT%0sa;KJ0fPol_WQ=mrGk0fe(@8=S&wHQ%_aJiPV
zlaykWS~CAaGh0YQ=i;dYx~h$WEIKgdn;`aHpck!Fe(;
zVUl+GF@l_&Ef=}xu|$n!)vI9Dk85FJ|J`A_#s^t+GO$P+XY9#qMRqNhk$ijIn
zV+@&^#wDujA5XSabCv3pBozw~dnd2V&}nRED%mn#W*^}TCTqKNMzmjQ7`!LnF4aeA
z+aWvJFFQbq)rcUEoS4jM+Ngl>57GWyHKQX*!8tM`_dOM@(Swp`I_V-p4HuK%j*1k`Zh}AzAouR4B^l0#+26_Q4`N4)Oyw4?T
zggOhGxsa|@teM7XjLcl*VS-u&R&r4-XM!~h?X0t&B!U{z<&5}U0lY56EY)fv=TdB3
z+0fSN0`h*Xw*Ox&Ne;X0j(fs1d^a%xL3h^79G8;Y>$vh%RdX%{33MbRj2LkhDW41?
zt(XDv%5VQmTZ2~06N7E|W2Ba`Wh7xHH%U!%8Pd$AG;3yY#p>EQiF+0|QH|_GeT9Zc{I-0a4p54t^HckKUX^iSkLSLtSdx`?JsG^y1zj|j#U?R
zCH7Ix9OW9?$xFz%Pqahm>yTGXRBHovG^Lr}
z-9ro4H0%9}fMMZgK9{T}_>j6Z07j5_n|7MF)1O;jxzg13F%<b!>A$JNSfAo
zn#mql!(i1)6G3_o8_I~(V6{q1Xt!DdTVTSYZq7fDjnkn^?5*dr)s_5HG|skWtCL=e
zCg&{B&Z722(?FQAz@-^E@0FA+wn5w0f05d{0ValOPF`o6Ot3(Jfi~7H4caQcrP6}~
z4P26%xwoUq*9}~mn%;ZNKFwaJb;pOIiDw~KsM4%^TW)*~ioo0w_siJ3mvXC9QDuX+w7>sP<55H@>Nz0DTcn
z4uQua8y0i%TDSeB+(@Jq
zP98p=i%}EIjUijB83REE2?D8H2)&06Y4hLJ29S%8Lyhw;#&Ra8sheWxU{uV1H;jC8
zfp#KnM(i^2w)eCeRZgZY0nuX)&xP8)T!lGIV&nVTaP>Hl2?RDVONPbku(!c_nZu)L
z&xs`dBCcHBdtf&i)~xv=&ZK5|Y77lMD2u6@sZ1R?co8>7O=Tvd@@72r>6sU6hrV+d
z45oAmbgfnE^v)r-UChl?)3TAzF6JuKDGdsb3F5X7GBllXF=G_c)2ULa^PP{{tC^Z!
z6oUb20Tx@6Pn+p2L4i+H=Wiwr^PvgKKa9(O?FVd2kG6lbV4eyRIM;KK9X6UVicD_e
zG%FnKWW5zYyFNt@N8OSn<$w(E&uK`H~d0Jy%W
zDR-edWdn(|a}J4niX+C5emmC|&IYaf$nzJ#QW@96ohzqoz7P`5Z-rINT`kINmu9^+
zhCJTNHIedGC1_03x5kiJtz4_Rl-nulGIi3OG2~e%th2y!`etjGJWr(r?uj9Z-3lmD
z+Z&~#LvogLjj{xZs}Yt?2A6XesFD5P%6@@Z{(~~~py{7c7B5s&
zJwds~rhh|~XF=kuZVmePESU%k!gw|L9~t??
zIX$y9_&V|#Y#vkhJOkl;Ttnjg0K^EA(9JcFA3R)`8XIQR-Q4-=lsMw;<}OjEB$9_#
za1F`z?w$Z6HqzSaQ=!Zj8hxO`aRe{LKzn2<~U5m8M%MIy|oKf!{jm
z?N|t}xToV{OmBq8K(vis?L7;A)Tj@BiGUq0>8OYG%l0eVucX;J?1=qPl4j3`AKDoJ
z?Z;gkesF&P824BBq1OaJagT%_`dI)Jm%IJYgg7l*xONQCeu?Wb0bpE{^=E!M0E){;
ze&`DUP+TbTL*EL3;@XTK+W%bu7?&^n;PLTVt}(9eht>r^F=XzCE)9TU7}^hg5Ij9J
zQ$My7RXKFie((lpK&cfK1@=R?20&5&{LtI|P(=;>(0esdVMGV2odRZii3apu_z4xZ
zpQ!mVZlq8N&9P>1Agt5g;^?Fslm;S}J6!blp$0n+C6PNW+B@NAq~_tzNDZP=cO1sj5#DhG-;O4cl*_qM{U5@IF#tFa!?ax(KKlvCcIDs|
zgDvpWTwy+k-P_te*zqMK!fpCNNk%WGNJ0btR+*onVn0V;sYph9`pV!+WT}>?lE{0P
zbC$|OfB{v;LarF>_#D5E%U@Ww!~nof;TL49S@t>=`CClw`ZvS7Vf`eqDqqCcv`x(;L1U=^&T!Q
zhJF`W%RmIl;`YNSx{eZZ-aW8&tc0w*hZ_mmZ@q`h~7QW#xe>v=~UQaXZ
zbM;`L8SL+#p-=AN62l?msfW2-_>;YZ%bd^$=++c#<&}fIpb!HwGwnV0*}bk-_JeDb
zSb{pu0%rq&7Fn@_o2uJ!-O$Mc`cHL3ch
zB@8`PrE8A}1PuYGOrJ|@JH^@vwT+_(4P2IH+~(NaJP7q3oT?iId_O%^R|}`D=$Y>AQG85#zhwPpSa@a#Yo~cv-+s}aXd&vzu
zxQwA`vvh@0_sFnjf{?ox>5@Ta{R?%eF_IP+gT#`=o!2C1)Aq2MtrH+6dX58rL=k*y
zT_-eDA9-z|Ze%`6**eua58w$heAcQShu4W~vwb9Sk#6K9iqt^WQ9+vLQjoCgSP@EF
zBtj;GLUJwArDam-XiKL_l*KG+D}oiihrGNC|b?QC=1fy0VU}pLoQtz
z>rEG0mjdN{x&fRlg}f}e#o7kRxhxr@S3t7HtsBW&!fIU&PyrA8Wyl3?aO=!~^qiZP
zdlYb?oLCQS{c?{k7h2!u(dEc01H4KqbJDHL2H*o8$gzj)_fYLS0bi1K)GpQ)4o&XX
z>3u+c+J}G)-SH9wW3=dRkLgB3V)4h+
zEYAN}S7kw|+1}ULJ_bWJV4!l7)Mz|Sqq;7qL$iDgwcSJZeN3C>_{X|**1i9Z#er}8
zM3=>yG>LHMaA>5OKhb66v3|f>rPbZ#0T_Ivx_p)`izHe(Nh>nMotrbm
zS-(jW7rdHY$lg;K9d`Dz8A5$3??oOuOzlklr<5Pprccwb0c*(`8mrW)oQLmqA5xd_`m0F+C1`#)m)@LvgzgntCF9${u
zmRd`>$f4Uu>p#6-_tf=d!_#`y{2fnIZeM#^kA3gt(|R-%vCrsn5Mg;nkAB_?eAlamBVWf7kKL?+o^uK>bk7JdRXZ5+!l<@!9jM&3>
zKL^~Fkmb+nakO#uvy`U?*q^=6>Wi2?Sf#Vgg;4-;Kc~m>MEZ03Q58tV=F!_OrNaZp
zpwxaMO=QCZ8L)?RKBvzfPn9ZJst)R~$LsbuyghxA5+|uZ$~Lh*AKmyI>p1|5Sod@w6AxF%G+k;?Iz{zR^@Fg-AsvX&~dwxc&GAq
zkMefE^7fGOwo`d~OnDoU-+Bjf#f|m3Ls>8D|0fRAE8zg`1Z4;G7Wk=IsMQSXA`nWr
zBovf<_W@|QJ>;4LdZXlhb6?hH4(&UjpPM?K=1I5aq9D-8_nUOO)HQAobE8l}%5
zuz&zVtyb*+^~Y(y>^x3;>A-P44!n0Bm->L!Ywd$<8N|K>Hk#sgG=P40oOYYs6MCEv
z%s3$%p4+Uy2i#;**~FzXlX92!kB}0nG#ggpwiB{RQBh@fKLv|P8%Z@jL&;>p4x?W3
zKscFyg36-eBq-Y+Vm+y6!{Oe646z%w&s}*^pQC$gGr9AmzH$6Aue(cVci27Mg0qX>
zWr!c1USGSJCc}}$C<)+eb$a?NU~auWGV!1K`wUS6{2Tht&$auBZ*wIYFhQe!b19&TyNk_>fc7&4fFn&rHOD4y^(vOOQrCqyFEg0*~u%N)F#h=^m5NI09O5zjw+zbJZ
zW(shY)aht53wBoyAeuA66meGGKwbzBdpW2WpQZSoO>GwKXd%ZrG
zJ`0`BE+?>McOf~)s#b>setlV3=JpDmcJFdl4N3(y!{_MnSp;F;GNGs4=@Z&PtsE|&
zS#UV9rGUv+=!!lEKpg^I(x!y)YpGn9rAVwFi3y-~Y)BzMX_~x&?6ve&SF;+@jPRH`
zb*il0zCKoCH3-ryz^p=t*3wv60slY&1S{Y!b~uE(PM=#Pt+F!u(aJOfq&^RClv8f%
z65Pv#r3|(d_!VZ*pSvHrErw6v`?1M!W0GJ8nu4#_gFVj&U!7$x2mE4vi`(lHx_iM8
zIY3}7psB)2kea~E7LsPVLOB5KU{I>i!iu&sBn_g6Qb4?IZlM?c*g;$DJ_v!dboTWN
zj%CZ7@N?a+9w>9U+Y7Y2%#;}XWIb&ViHZOXhnnbev^sn~yVu#-N5L%)Uk_7Sh=KIB
z_VjukQtLUHe0_K=D)8BA?`)Mkr=)h!YskuFF#Q^t%_owLd4^PSTQ;8;Njoa`1F~}p
ze{m7z23v`yyUgrwmrx@>@ArW+IgI3m1VeH)h06*9V7Sh~D1Vw1D$Zq$fD93)2$kgI
zHLx*!>jQ@9yh0_ts~2hp+HLO2MhV$3&)Q@DuZW
zo=#^^bDOgZip5tmzj-bukBKG}qMy67AE`HC+097WsR$ltW2ia%poc6J(iU+nBNLWqtL9VP8v3`n!qHLU$q&y)If^_U#Amd
z-^+oGHfrVsFZ`_RWauRhav+A!?+-vn_XFOCUXlo|t{r+VbvR(U?80)lyA8RtGbhRF
z0Y*jAOq3-EWi+d?sk}-<8x^z}*k{srxm}kzyl&$%%0DUz5-~MaXvHjPliCIg%&9}6Th;QWM<7p0)+6Lot@1BHtaO2-PHcK+b?C~5+95?*x-aLe4R_lq`naP
zb!R7S386+(;|j9=Z{SOIzsd2N3-w{tsT38S>vi|GK&cSqWzLfN?`mO`uTU68Q-~ny
zQu>*d#O4ZACaks0HfvnTH=wnmx=>bmx_DI$BWHr?j|=&TOI|?(0|J;-JvDtsDjSWHni87Z;qanWw8+U!K80*c;loLNDjyXAqhDGE*?+w*
zd!%g7p-)0(Sm$gqD?FL8RFYU7mQHqm&Kahv(N!{OGSiBhRjisMaWJQWBd1iYcI$L@mR5UU=Lq7xC#tVEu>P>-z)49ZqPF(`2S2YtvR6i_eWbS=}`
zT2(pKSWszcjo?voVs5CY!U*HThm#=rRg;8+zudT_eX
zqf`m9_{G}d=vnE2!3g5HVA&LhnpiU&PM!rJM1eVM8)cT|nafI7it7fEH5%2DVS`_k
zEc@5f3uE~Jd78{{E^{PwR~TKJ{5C(Rz|_1eBYLI$B4Jst7f_&LD_riCE~q9O^b5nBoJusZ{E0dfbb+S?APeI8X9!RVaD*Ww(HH6e<_Ex~IR0?x+
zQk4W;@HMBYq(4J>n6Yv+d{XtQRHd_I6Y%EmFV~4?FgQgeg__YghTCK8Hbs$roncvtm~NIP@)jK1k@YY@
zCJ7&Ld~A`>;_dBml)+e{)j|4(^tlDp9Ah3FIs2PiQV^ldN4k6Y)U0L?8{n;K1hKgs
zD{)$2u5L1WOytmwoDfcJuFpgYF4bp+xA_{KO~MpfPx8X+u;_&zgIvEVEIeLmLvT+u
z!U_gndYFqylxw13keyG4WtrqajZsNAqmEz^ObEz0e3&TuPZUCy+1EhnB`$I27!0yM<+Tui$n;v;p;>nGYC^fwv6oUpSV;
zsU}#JR_bY~TFh&6u$Ta}B9zqyouWrj+X-3tMbNrXq~lUB6QE*P8k(09jC4>g$oBR6
z^k_vZgsD{IhEh~la&WUQV+;&4rLtk12>+>jEYd;_N}vp=FlbGS-PtLS^-qMs>C+}%
z9Ep5@k1=$4KxN42Q~E6O-uL>5L~7lrXnMm|j=DersE)D}+RjC2
z=gd@m(ESh_eVWvYlA9uRzt@lMKMhfWO1PNK-~0UH!fXPaFkxNk2-zXf!HsNp1q>6R
z9DBVm6NDK*aG}@+nNYh$3Jw~(&070;dM|_$p$j~yPwhvoP|9YO&nvX_fw%;FmmA_u
zLYo6ZLv+mVc6IihR%{W-k}}6e!!%fQ8j=quNuA)F1I;#V1#;v|eJXk7buMOx+Im11
zaNq$|vA6h){w6Cst^G_UY>Q-4@)bM|I`ll*`#KjnzU{PjW^=$ZQzIwq_2~_PJgJ>_
zS%7R$D`vFd3oM(|{$6jMa#}JD*>EOtW|o@JhLfE|y3~I^U)u+D$y31pDJsD_IRsp!
zo(p~rLN#u)WN9$=1;Ik>RX6}~_RyXk(uGC*(*9Ktd-Vx4W+qSxjF!UYW{?Aj
z*Cn(CVn8EkI@k&{8`KiQWLu)K!fe8}q97Xn1xP#eX+X0GHm46qj7X$dwjO>F3Py)z
zxdnpcQ1%L8ssNe1)B~hS;X^sgatK$uOk~PPz9gH5l4)u6$cdUiaanI^EriSAR}!4C
zIdD0(1O9<3QiH*xZ0aC1I?pACp%*ME(1RP
z0?ENxf#hJUKyolv#sp`jAJS!BRP}F!TAhxl}0u5SanG~3V>OZrfkl9bo
zD0KtKBNt#6gbGXL*vhe0m1D*?L8p>YK*uY`G|3&S6!4XvrBH^kuZnn;1@csw$Vr}0
zBW5$dYNT8Um_cx>Y*k{Fsj;lG38(gK;_qK&Xf0eN(C`u%Djy6~(2QIP3#GW&1FtYs
zSPpAEquS`m*l)5~v`9AD>VjnEfeqlmqg~T*7A}CXl;A0IxxHPmAc^Zol~ZawQ)*yx
z2UZd$_^{6c*7LyQ75Z!Gg;hITU11{yrApOMC#BJ#Fa-_jNj7eQ4Ua2GU4cF;y-kW$
z!}i{uKBJ6gCflFl(()B~IT`t2NK+7rPDar)RBC5_2n$}qXe0O|SW$hNOI38atqpdE
zLa2^SX#I6WD)`SClnq9y4e#&+QS}7N#>mq4b!p+qxDIA-`yKjZ@L0of%NT7(1pN2&
z7&V_Yk7WD3`jJXtvLEgR1{H@xr)?05RAMZOH=8WjTU#BT9#|@b2uyERivtuCr+6R@
z$8!9TCLNN$_Xxg0cR&W;&rutC4+rGpwOHyv;2zooF-B5x=C6bcUVN
z)&^vNbR%1>Rt9xgB02OqmzLvnN*GSHht5P5_deLj{q+Sp+>0q;ney#oV?*w}%?^AsKlQbi&0gE}>x#Y%Nxib+GMVQmmWbvjAqQeCzQX#gn-R^&UZa7%&Bj1?!6~$OirktuL-P`%Xv$La9M?CL^`2v4bf}htkv?P5xyxxe*}@Gm=yk>kV{$
z;g{>iRI;kjcykMcbehS!N?B+RrwVFy8R%Ux}kn8n1
znp@i)tt(*2PG{U^@GG!!NNe+{w`uLMsOQM+jJFZib3Gt7yalBX&^F74DV36;6deFjoSrDy%wsn=CzUI$NMteLRa4$rc&lSUVah
zQ3WwD?j(hXD9Ge5cx3RVkRnh>-6V`A8`p(ppA)prEJ_4QdQmMVpw1}dRYEhe(Ca&$
zVR6GrZQqT$FxrNREFcDw(bSt-fP$dJsU+2mr^t+JSXi3Lrx(Kjr5Dz%6*`JK(#FDZ
zrde2IA}cESDpd72a?30}is-8NKasfEd_LK>09L9_RzV#31)eV@yYl%w;vU0~9{Oku
zUqmP2lZL*Xz~2Dd;Hr6HXlFIwqRRk{Ud2X>!wnV9h3vo>&SmNPHVg|P{13Z}a32=<
zTDC9_-qbD>lKngRyt#z|7;NtmE;PcFl8)oBFu6x+hmPpNBqS3W;WW|^Z-~yN9+-7@
zS|0W{FLXKTifI%iT^`_pddsEYP?4;ktxryYL@?3XK_1!q6qiAJqkljUWIRB-@V;K&
zP}PbiQSGuc4AId6@&rQyd4NFbK7~z1{ZH|5Sp68!leIPcBy6`#^87458)GaLmC-O_GwB>ZsO8HoOvMAn$gD#ZnC5Fc4$2Q5TsC;-k?z8kwL`$|{SKy#G0u
zL2$GbM`cQjz?BKr`iF3g51U1oMn;3ipy24zMNmWNH=?l20mffr5ous{^u%B$u}WnV
zrFXwkloCj#NuLJ0=YqMWN;7L%#vUyJA2iF@v&kZxN!d#JB_2ecbXBT9SUoCL^^o5E
z^^g*@QxfcK!!XE8
zl4w;)w9eSD{Ss8J(offj3IiXNtTKKPDRK#cNWV-aKu{sj3dkuFRQNnIDfQ^8QgPLC
zb4XPTC;})dhDKxR)b0~oS~hcF-{=zS&$k~$xHK&0%myOsGy@@z2UxE!R&;zgHfdAR
z4r}^pTuCNOi-$*N>cNcG8Ix5L}aGImkMN%7POV7qhlJWrGHue8H&lpisB+#QOFm7vQOXY(7
zQn#~BXoGDguzRux_U7AR=Le}<7nYIgggwC6x#&Is>7&XYTSz^9DxtVpx|?8FUyGXw
zs3*obs9_AX)uB0Bvi}=6>rxS?O9+QCtP=u`Wcyt@nvz1$i%0t`@Ka_+qtgtxb)q+=
zv5NnDSjLSN1mzS(XNnzALnj-kV5MmlW27o}z&hXm8*i}Lq++~e*Lb=Sqbluprs|P`
zY&ZYkcmqeiXX)5gQIkr4o(y?-5a`m`PK-Kgb)?3@xh1nSY9}T;CKK*vIjvob*F>4JWiSNKnkM~j62Uwg9l1P1EfFWZyJ#jkVGs(uXnB{ltcw9*kzA9vF}tFl^j
zlmdfmY0iJ<3{sD!d8*EkNAB5DInw7(&QsKOn3mzUD5vwKEkiZ%R`^l|-RfB8ndc9%
z#~GVb{zrDa9R|PCu?$umejKSYK(rLYp+7-FnMzzepSNs!f=?$O&gbiEjH@cmtEx=$
z=~0OOb>Z1ox-Pw{QfTwqSNfN5=&@vEo9?MxRYm%3{G521t#k1_snbUq>-pS5*pc4q
zb+*7-Cb)+=uz!GNvANx_U|9u6IAPazZ8Kjro+hJjYDKq1_m2XV7TEsdcXMo;p%cy%
z$)_U8+8_0mG+Ia?T9`$07eIjbq6Pe8yJ8>p
zn#(%fD{=V^9B7|(`qo(Gm}DX+cs_ludfLu>e9*uoEDgfpEbVd&F0**$I1QbB6-jYP
zI1Vkh0RF`l6h9({AS;3+wl+(;id5-|Iat`IxoMcVACnptq^2f8iUL+DC;Cd6hmcSF
zY1n|wKo?2SZJb^j5u~MFx@XoFMCupiM#xL?5mm~BV-uyQPjN)tAxz>c=oc0_;;j%_|OlZzP-
zR@9Wh@TtA06!1FE87p6a6%-G@%(uS$is{_<#AiCStG29&I@qMucba`}0&QpzvQA7Xq|
z9r!i}u&#`5Pap1@RW%N1JSHYq71nFzW|RI_ohfqw?wLzgyrVRW876Z;GL(-8QWYDr
z2!ql;<gm#8UBK
zqR&`4+%5y9$7nvU=;hM#SXhDjxFHRA;6k8^UAh>U0$fu9aQ+{+
z=Xtem0FLH^S!XpoopaZ}k8{`uEOQ=C=5K}LDo@`H*9hSG{ZWNpwzCfQkxSQ0*ztS^
z>_(8TmcTQ@#Jzye3a6(Be1+s=2VY1sm+|>@h_ZAU59d3U@n66XmGP0}g$aB)33u{v
zW3H38hT)Q6mz^Bv`7F9p2sKvSh5}o0-7A{A>~I!tl~FpiFI_3(f^}9!70%Kr2dD=q
z5RH~ftA%9zNqTP1*-V*2Chh9#*vdt4lv?F8CAiczN@aA#m!36FUxmry0Cn
zj^FFSN*z;3y7>XNy1?lI47Aa3<16*+h7r04FR&ZM#?mJfQtGm#;BoGc4EwU?h@s_Vktjz#V@aKp7
zY~hv%pdOB3yS0_YS}P%iEBRsuyUBVdX@IXO
zG~eCUN1>2Nr4Z?2w8b77At`>B{EKzi)8lkiR?zdWX_fWnaR@2;l?Mt8_t%*QU>A_ANNIOwg+j?RpD#bcmjqXZu>ZRH7OpeoZ
zwtmc-Cg%S+T}oT8v;7g%lEn3YPL5%Cf702?^^mbAD~csl>TRpZ!OQrOi)eeS)!TOJ
zAx{`%PZIMJEHPf$Q_Nht#LQ!Q+Y!jaE-{qz;eBi3w4O}7k+bP?K7Bg9pzZVqpvl^n
zrAYzuVdO5&Qmzt(YD(|4dIow!pE$5m$fs|;198&zmvA#%D})f>Zt?a~YyKey|>2uH!Ayusf?8&zQo6mE^v4
ze3?nURjv>AmP0aL%%!@4j^W}-zHV~ydcK&fUk8US-0S$nVlx~jg(7G!`UZR2;64Gk
z{+khE?_}h9egaH|`B6i6uII1SlYiXJpEq>HZ}~z2Q;Rm2>tlvC-_8F$2F6kzuW^~v
z(b?9FV)4PW+TrQ6w>pf4C52|8u+Y?4NjJ4U@fd$@{(pMbj(>&%}&zcyO|gOwP6jlu|)#L
zimKs)HAkz_M33gtH5Hhum%+tdU{0mT5=4)15eI>keSsE5Y0$hra>EmRMmm(M@X%Ny
zab40h^z0M-6hndZZ5Chzy8>;>GPq>Dxf#ACDd5!`ses08Go;&ns73J73}>@}d8oLr
zxp~ORh|rzMf{_xy$V`;({+so+6Ow<)eIS$ZgyCd;=v%y8pr3@la@Za>?ZtYmApy7I@c~
zN-T8d&_lYm^O-Sl0N?2O#ud=#J7A
zOsZoaSW_q*O9pAzm;SRX|61ZF#)Egq95GF;z3zZ68sK#<&
zcvKrUrjpk`zypd%O&iQaflEc7HrFjdU
zkoHQaA*sBu!A{S*f{mpF!J0v1t#pH`14Hy$DqP!yGwv|eu=kLIZ^9NGm?(vjyUTd^
z1&iN+iM(Z!K8eTdWZ_!ayS_Ko5KbPAHgu0dUgVYl#q4pc>S^{lm%HqEz?&NCbx>Q6F!#xa$9A;oZj
zY#QRyhaO2atma60I#5N-3akb*nVm5Hqg_A>QYgmKUmk8N*`HxZ$x-Ekx@vQgttEyu
z@>#keiR_#K$G6?Z@L8P!pG|3e4(W#clnA*g!$3dbj@As=7JN9vVBfUFkR67-)>KWp
zGeHJhOop^G2yP2XswlQHvF=wDawq+Ue5(DJrY$B0I;57G-S%$Aj^=QKs;w%J7
zc!~}1b5aS0c(OFX5Jpzy815TN%QfgYl9^|y)0aYkV`(0UwJ*;w`)-geM_$M`WT*R!
zwa_ax+tAu|naKC~hWsoQ5Vmo_y~(ikhB9U%Qw2jNX~svN0BwJ(0Hhxg;dZ6{f+0Cs
zmMy*LiJGKpQg8W!gMn--FvOCF
z09Pd&aGvyJhY`-Z6c~z0e4!zqlouLqXF5_`WVi+nD;eG-+n4M7LWgT4S>%Lis|D2y
zH3yDw%9;bKAd(XJbq3PZ+03J$wl;WV`Lod-1ddfoR&wD^X+-R7@ok4wa$Z-?2H%K>|?8pYO<(3*E
zNz@S-)qsX%l9iJ{FR60GSAb-1E;VdLt$8p&E#{gHHnQ1lIG=oGHeATaC0L+Cy33#y
z)|46Mlb6d3Eu_q1xQA3%7!H!`N<%lft`gEtR2uFgq{?ssIbLOGz(#eX$s%(4?46!=
zJFPBj-IQ>aVj>5}fZjrTr{vi?VO59xOOEHm#aUe{{l1Da-
zgHDZ^3*j;=xD)_J1{&63&?p+fxnk>=yy1S!-b)m_n1I
zqXVKWOA)c;4144q^Z`B$JpIyy%EYwR1?6TT!NpDq4aO2KOc~czgV2gB(UB31Y}4T
z2j0wxWH?V+_mZQvh8z~<*>8Od;0bDiFdmTaPJhSxUSM&^sti78{Q$s8>dY+uF0u2W
z^)SHW)o>VTNx+g%tzQE)O$~)j#-La@la-LZwdu$Mb%tyfS%E-HB-vMI$YsA45-o*1
zG~A=dW0^6;L4Vi*e!=05)P5E!NaJj|7`o6ft^S<_TRvwiMvQ0`V^Y&DWRNJFZ?WmM
zRMI5Q_9o_uhp7b2oSPl&s%S}0w)Z&O2Qv_!AkA-})zz^wTaM0V#3)CyAKt~TSdq2D
zR;sg=k&9;-vY05!b+&4;hAL2SKL+Gp*VzsuT&aF@vs6%L07&Y-f}*`*2!
zdfO<(QVGDRu3?GZRuu@BtB5rmtG7)H-~z671TN~Bn%C)V^?~`-m2A-4nh+i?amf_i
zc8s$%k(09w8BC45dfQ6GN|B>JIC&1x%RasBvOpXN9H=dtZMEL^E5wOW=m3T!iQnjL
zzeQMr0&8yWbe!u_BzmRZb`>Hdst|y>zdf(f+pb51R271BS&+ZkHt1~|$vd+RQXE&*
z+Xl%g<#V&%b|cA~W5_6`9pq-c?KY$st58(+fUSDlcCuuSL5lX?skhxv*3OYT;)8nI
z4zgvAA)86?5xwnEq@23eiliYcRtSBnhFZ8xA^rQ~HnQ;E4xBUx=Xt+?f?EmO(Um`-Ps+7}O_8YzJ+dwKT
zm?g>Yl-_nK0HGc1w5Lz0%@2B;o`-T`m2y<=ZQyMQ2=sG_+t>U~(w4;A{=c@aJ*cYV
zjC=7ri!UCD6-BQDCQ^LyFlw8KgIwTpk;?~{AUJId2t*7-Kmjv0#@BQv=`>C3gputu
zBc_=;P1{r@eVE4bNTyBFRPmyasL2@nN1=&Uw6!*g5&M0+doJffX70?M-S4@(-|pGR
zx$~RN3{z}r)5vEhBkj5itT~UX+AjcH64Jv*u+-*Zel7)E$_z2A$1w1I+Eim1;Iav1
zd)l3ZDM0Us1%4||zYtOZQ)N~tn+BLBD?{0Iz;wAMlwA(^fIQ?kYXV#W^dm=NosKv<
zeKs)A0nq9f?40IT+nljW6#
z(OeB!9Zof9qN;*5fHh1V>p!z;H`0#*J{E4dg+3fJ#La-4nHW+#S^&StqW6Ze&=w~Y*iQjIB~KRFE1O+_yX2)JD_&0;PXj&;
z(p7BD)euy>0e7>$xG;U8V*pc&J%D>a`ipHXdja=?Y%I1Cbg%9M+|OFnpbk0ixUc&@
z;4>2$9K-Qhz#o1M!`Og)4)BGE3|rF2M)U!|7r%yMOhp@DJIFNwYrgjSCx9=pKzLg^
z=jB6yhnOS0b;b|Q4#19ydYtQz!+<|$4!dLJ`G6IzJLCx9t01oj>_x&a0e>}7nL1-P
zo$(srZ=A~LM4ab7C(BX5W6Yvvdea{@RrD6D+Df1|Mo%YTr&Eu7w#0Vob->?(JX~VU
z)=vHo@b@5lORPAZ{{!G3L8d-z)87Q_0$Kd96|Y;i8?a}*eLAhCB@-Pl*vt4{z_*x5
zO&rEa#wRuIy$$#mCOczF-wzmucL3iVZ=`k=e|ywQw=-s6gzo|VmATaDHCCLX`+dN_
zfpnKzb9B{C0iFVx8OomqJPmRa>J~dn0`s~vif
z1Pp?Fuhg2at@Z=h(C%Iqb{CBRR{J7g}(j6;_J|G^y2?rC;J!4Tl5Om{{Bol-GWb-n73&j7DXP*A^P
z1y8Dq;VR(2n87&~nh79@UY_(fDZ_LPa0Fyjxm}U#fHx?>%k7H(8}L6Mi$e69fd2*A
zRBkU!ZvoyKZ-nnzTU+>(ePiT*fS-?dwS|wa4E+nhFPLu65>BJnH0J0P<**cBNC9Hnrkyn@BWyFfp(Ic;qIH!q`RO<^F(@V)z~
z6UR1KcX!bh%CU16;~w^(vlxZ-iq1t1Sd7e=KA;K<1}ug|-acS4xa3O%R>F6=SNwNy
zA@AU=Iz}5bz9+lz02hLz>_r#W@a}SoLM5cXw;A5r2z;N*rz!=NnjpV1s2uv%pp_J@
zJ{hp}pE^-DX#MPQa$$O=__jXF$@BY3!2@lbSMHPBGR3{R6#eB?x{OK}$)g2AkjOik
z;vrXZ`&zM@G8t>d8cKGq6&YHf-Tw*+q{;qFu~??pC=A^j#5?`qXTMNqY?BBbFC|N)
z5{Ti(ERn3Gg8qvn<(9pdEH|McCd;E)f-zh#>O^=1H(QEFFqG{h9HjA|CZz_mEXw|OSM>a1lB9D=)zX7>D#Rl*ea{?M1o8#7C<&H8$Q)2fAzgm#B}|fG*>B~k+W@E
zPE#Y@6VYbQ_>&|9TU^On)$+FB%_Ny#D56PhZK0T_i{oT}zL+`H!!J~2F<2%CAz689&-Ig|LF`3jSv;{|}@H45`
zx<(pY)3lw1+G@N!-sp;@XIHUEu)N!;Qv7(oaYpz!d^A<=%cHOf()v^^)DWKW|w7j%j^1iPk>qXYxj6}(iJwvP*bDET%~1CP^OoNINe0?@|sV?IlAYnPq;1ao*i-@&0i-vOT?Kc
zC_?vlQEVj3jxGw+Wcg;78VbW*D$ZlNRn$MIld5j&n`HT1x0*X%*U5!$HB6vKai;Vr
zmJK@DuajT*s1XtDQ93{G5%U%3Hg>u2F3-o)N}IM)^rb3nWSZG~#Vn26nufJB2kVc#
zG!NIYlIZa&a>E2w)d&G}K@`EjAL$iu@L;SM68!4eIi!YW$B^Kg`9BQ_w_Cj>D*P>E
zKdQ2l7t{2C459Gx>QUYt5(_lP5B$$NICeBNR5kN?wOl?d7;Cp+ShzL*`z!v}h%rXp
xbyTX?KkXjPQq+IUe^P6qrM=V6VG^IEJb7CokP40G%m#wPG=}=*KZixi{{bmauPy)p

delta 63695
zcmd3P34ByV^005_O^(UrBFE&;OCV$d$t06IfdJuB41oaNh{+_GkQpX3VGal=4z4F|
zRNw{M8}M3Jm+P-?)I|h$mvudH4-pW>V-H==yH*HDW#Lv&2QGR~V6$qAh2G%%zfpA~YwWfTwzboA5@`Zw%+RJk%
zpAKNp-B%cMO3MBHq4HjTpQ|(AT3zmScb50B3HADYRrZEQn|Q0yJ}4}Ag+i`@P`lIX
z^{;O439ntdracsJ`hs3($nEz9hc*mGOE5!^E{gt#(fCF07h+3Xw)u+%*AMl!_2$B7
ze_ZN0_&FHw>JN9ed!4@JVdrw!P;YiGO-`W6kmYp;dtHH{-U4lUm%o2az`eXTG}N09
z$X<*SN@%G#S}NGp>*{k2c`V#nXR%T-G(GI@hD0&V(#?G#uC<)Q?G}G(xgbMRUpVM$
zcl)|s14B0eT1UJ!is29!sIM#Hi?}Zy-4vg}b0v>HoIIDS=)D6ONs{H_^>*bE*dB28xB@O;mn%4Q!=pD_hYZ{-aeUT9c%GXz0iOP>On7d{vNz2#oOKqZ
z&Dr1Yb@jTu{p~9{+rt6x&;pN~m#XFkTz&qKOU@VnnpFsRtl5ZjYIZ(6FU`(@=bG$E
z@Vq}8YkYy`ewtkg@8ff7;CXS*WNy}@*XE2jOwMqILw?|>J+!9Z)$0Z=Z13?0`kbMm
z!Ni`h*Sn@{W!UL;_qbi%k8aPq*_e{t<#h&wu3&kvA4KT%_OBTd?S)z5`oe56QkW+8
z7bZS>XQ7iTN(Y&{btV*
z5{;N{8M296Cl-ju;r|K6DdNA2Eji7n>3rfP6Ky%OP6sg8HVH80i$5-zDBe;mh~Jx-
zC+?q^EAA@J7K72R3&iw^B>tU9R7#r+<>#swb~z85iD<`hQZz=r<7j+#s>`mg6d6&_+?RM>_#fI{|)2FG%}BD
zX_xOKe7I^Kw-ZLNmEF1DH6kjOIiM@76%7d@m?(-qb(*=)kr_*x*{KaAy
zG5AZ^pG(=F%h;a|`X}t^gufoCT2%bgRXg8a4AjoI=es<#zLik+KdBGJce?t7@_Y@O
zLb>3g)kglqYOxQWvRWI6_fUDE_-1zu@Or3xe1z6{6Rp#;5dI7r9rlVLMf{M`Tg2qS
zfLz~J{^3Eh*Y8^%a)-QN@UQ{VwoLcTgDRLxU;|V0_4A-Ks9EyR>IeCdze_Fc
znJez8$ST(>&|D}o7z<-@sNEfM^$m$bBlJxCS4Bg`&%mKNaCT=i!4&
z>T!5GW2F$c*JekM%R#f#*VXF}_`o0y^l8Vj$4-^8P~2UaIR|Ak7`G(c*$+b%9mklEego-a5)xR9NmT_A
z+FMnrygC*%06U6QUZyBcmWpg_c0m4MH0V?);Btx2SD9z&_2SHJ&0ti&6C9n;kmohg
zT79MEE5Pje8Xp`lZm;%KQ06|t`l5pVaG=XIG}wGPA6G1^sbIbHLnw5{;sjVl4)bulUYaJh)uJtGUYcG>NgdCRfm`fhpgd34P8_K`
z!dTE~g{F3?+_9iQL!}6Qq|nAJ__I7}+p(VgO(y|7U9lAdd&|Gd;d^EKNeqFFL>9WPUFm3s#^-X=hbeE}$q*HZ&1M
z5~ni1-=^OH4TEN|yM6xdFpj2LY3VXNtWRA&76xgbIxO}#3M2c}z*x|XE~oHVP`I@?
zRAmk@S^qZ$D(;+8Ci-ThA=){`&V;sgETl?8%Xdx?H#VEZ-J#@&JVvVn+FfJ8sO4SN
zv)j)Yg?H#w#^8S;zlBYcL3Rt9##gb9`qML}6UdZ=_fb>TNR8V+7Br(v?CG(f@M&@U
zPc;rI8Z0D9FCgEgeMxms8ai+0)5QoJREhXZ%fv8bBZOmA(jV?IT8Ka1Nmz@?>Fi(kI*}MD!
zm-x!nvEnN;V-j>DN}hP&YAYniGQ(JY#_Xtl+jee=cdUM+r-U3T
z;bKRT-2Abi8(nhq&KSjaE4fiZpusaHRTbW|izkol!u?}GGrG|F#)9G$Ay5`>_@?+J
ztzRFpP(z?By7o;dP9FkYGM3q^RvJ+#O@XE;f)syK
z=<|nT!K#&t8WwnvqWJ$c^!dVA7^D{b_0d9~&y5Am=yLk`SWuk8k9d~J`iD@%Xz})M
z6H6BNU6>|nkq
zT#_N~x_CseL{63_^(oO~b;n*8SDZ6JOn57XY;28+j-0euoHQ1Uqf0gZ%u%e++hjE+
z`ah5=ECQai99Vbeq)LJ0*TsXKMPlMxqXqM-$AWEi**VS_#i@f$Om^Qip3(aC;#Y@6
zW_3@C0_q=aJB-?d_l>10rxtAf`7dNwrnpK+5&
z{!#=f|E8g_Z!B1~(ou&-4@L3+>(F@1SQw;M{>W%UJwy1Q+kcW`=!TQiZ$)H4-y|-|BXbHO$lNy>{CHaR
zx7Z}38hkUO{v;`$|3BFVB6jp>*F!pbr1g-hu`oir*HQ6M&q?bc6=Ol8RVY;+Wn)2c
zitaUu$@IT%*kk4lIQ!tFfx3HUCS8PA)0skEI2INpVJ_><8)>V~8w;Azg}G=fD85@^
zCM|aL`vW1jZ@Dlp7z~3@7wcA#PtIq;y?iVzNy7bu`=rf&17krmx^Tl|LGkT``>p(5
zpms1`J{iT%>Rdb2s&1SgnaSk3bu8RSat*B*KT>J$8Vj1y<$60sak2|6?;ZRUiYb$X
zX6-?MZ?pIIsCc2bfjcN}@?KZ@BG$}K0N}P;PXYu02Ww8d<#tM6b|eYFTE;Um4u4zz
z)sda?e}+R9kQq@n7pn6#W&zI}hk`;SgAGh)fT9nMV4PwTX*6rf|E3`p5BLNKJRR_5
zNb3fF9gD;z#hvH3ja1yv#)4*a#r=3JDB83*)P`dcI|HeY6#9MQjQ*TlJUY-~q=zF~
zlIY2Z785-d(ZYL`g5u<6VCC_^A;QFo^T4dBe!MzV1j;U%+O#udAp9Y
zMtZNmZfG!Vforwk_6br+fmUlD3c;x$&%D^P&Ke!*WKRp^d0OG|Eiq&bMoyy3(lYxz
zI2~YL8FmHM!0C-MBG26Ig5!R0xKiPGg69Gx?jj`a)!9m}5QOtoE|t+F6mX+3uSZzX
zw7~Ckm69C-KZ!FFp`K5Tbi=6@I7;FQ+J*Ca-9e$#)$3g4_6G!bS8EiUzHaksx7Q2#
z0v?oH1I6o>-mfAbvbZmRSAI?0Qp&>&qXZNWjovUy&?&S8f
ziXZRIiky*jM$?E)j}zt7_3axk4=}X-XDAX+VvEdJ&!;Us!&V=SucVVu4(5u&K0!FW
zq+CI9R$%6Y3Y5uP&|^FfcvFrt;Z$jXrv{Q1cxuHT2C7Ty>3aix;t;mL(+KYyJX7Ea
zmY|9Lft~!9ic!G=I5J@iPBCLogsyD!Y!>^1?{asDi$Ytt&Em@sDFM-jzXkK7Hj%c$P>mz{qL=WCRloPD^&Z#tC!03
z9RG19?!Y9GB-jR4eN7|e`mb@q^VMto@NB*on{UUpYZ!c$_|_98qW{`5a^*NKCKk+|
z)DSzaEvHH1^ViLUYT~b7#tKXkw?A1T;`YXeub*nBs?v<7wZ-IZsp1JpZo45#yz!7(
zEWcqoR(->@3}~(lM7E`H6DdT~ALGQ<4Gj$MO!2b~R&o9HW#XX?GoWDdja%f54}32;n_a84xYycvDp^gW|dtv9<_F^Bls{yg!-rZjQy&yt`fi@5BT6aZLx
ziv%!*6g*@|7k6zg2E-B{jbwWh^qc;T9RT_2#xOk3-h}G&u(Wyq+Y#9hEBX
z-h3&f#*0YrRU$%sCI%TqjrjD>3!!=knU>APh?awiEWJuBI4DrE61O;@K=T$iJRjMj
zbiXOT$cJo;XujPdF1)oehBi`3AS^E0QX<9-Gge-{HIAX1CC(tZ;+MBdJWVGDjv6w>
z=;u;s6+a?P46I3X{L(6ZE+yM
zqIk}`3x)aoUDylj??&Bs4CILYTcgAm?=H4bCW{xlf?;n++;nFS*;4_cC*;A)xk8h8tz1B7Ym-xR45~Xe|tHkZ`*zeJipl92G9BT&W7ivd(VOArBCIEf4_Gsyj9&d6P~N?I~Se@
z?!!Fu{Rp@4{`pYF;SBMy`|IKJqxJe97q>nvK-&I?
z(Yoh6f{nIqd#?D%BX)Q@`p6=9mj38scwYCTW>%{pt{=!3Km1VvBqr>@tlk~i;?M6u
zduZQ@1l+uH89YDSiK4n>mn7|}vSA)4e!3$`jN9GF5LSyX{EacD;|`KXFZ6x)6r4Y?QnxCWj#{}>0h*MEE=
zJS&D##OsHVw@vq^iVyuNN!<8EtQhx%1yVAexR?>{5Rd=3K)mgVW=K4$PrT$wOuXyK
ziVbi;bWGL5jmlG&n7q$w0d5so@x!N34Hp08;sk00s=9jJ
z-flRf3w2mYSv_Zt75W4Iepev0M%;cI+%2&;n%L{P*c_P4Fh~U#%CjQa?{$YpD=hpZ
zix$kaQxILLYMRvE?MA_#RPEbgwb~R`8bK8d;*WlEA)~%hrir5231r4A)I*aNVd5X!@Txv~`XW}Yh@Ps(=2zrgwl~X)sY)#<+5A?2x63Q;c``@z?#pG}rj}Gp0bFYb
zQ^ait6U7g2PZB#0Mq#2=b#=bnw>*}%?Iawkxy!RC?E5cJSTSioFYbCK0Vv$}4BBe@
zerk;NQ)9GWa*RsFytVmItVld~OR8*Yq~UuUMfbFrMB19bhg`T(a#XA3v7FKN$TkX)
zEIzX_8LGMFSsZsiepYfa%Ef(~3MrzGf1WOG`>B;xVi)b33uy93KP_cRmGaP^%<6qM
zU3C8}i!tbcK}alkwgOxZ99Ta58QQkCpJO9D@pF97If%?%aZqZC$#g73$>kkL7Yl!p
z0-3eH=wxI5co_4OpBXRCKEecbAC|i@{D7U%4xrRLtXIHvg)MC6$RycjwY1aoekA@!?;O
z6W9JK6AB%;566rmczgL*a~P~$Y`sSy{&Tq~aoexWAO=Y@%EYJd$(Pe>7;GuFu$*QV
zFF%lkA1R{!7tyTumC1gK3{*t+p3BARTwHs<*DpSEPp%AN7JvDhQr1vqnDzF-9F`^g
z7KgtJev1O${ac9yaD=IEo+)O(1|E^P;5Af-h4-h6ufJA|?u+Cj6o~l`3gYs^g^cnk
zvZInB{^T$^K2fiuGEI9OwRyp7xg>7^?9D#<`gHirI)ZJ{a|FB8p(7~k%A@#x*HL``
z_fc%Y%Z_0S{_GgIo}1smLNngzWHptGkAy*{Z>G@s?5A&}uw;ikhs_Zij+e7EySQmp
znfS@W6qMYv2$XaG@n}Hy+;Q}Jvff0${qi^GnsHa9G--a}P3(E)Z$;p_>#h6Xx#Yyt
z@JxRDC-8jfZG8X!J5R!M&b!aR)ASy`Kl2{GM}9}(Y5o1(@O=FDTj6>BAMSwXr+?T4
z&+q*a(}nl(x$k{xPPT+hpB+^sc7AXbq`vpTPZ{Ae#mL8YlDL$!Z2rhh#7nq_bZv*3
zy~-VQhuWKc-D1Jp#WI|@?nCrD_kZ|(c+UUmdgfCt>GJy^;wE18@eDElV{~2DevDL(
z`{al4-1`Y~*zxHD@QnKGPF8!X`2Gi#oBx(8*8gQXSvVugByRf?N^Rz!x5M+jKW}AV
z^TmztI1tS9`w3#(S6O2HyB3zSP(1hDYRnn!d_^
ztmF$LcMfar8rJ|W+KG-gGcYxstmC;VRE||kQLU_>NVfXD!C%lO(m^~c^>~(Mz
zUavFQ?t&}P*fo0Vr10_v8r{8t#;P~aQ1u2Hi{23KEo?a}-1`dzoKD;(ZfX?9u02EK
z5ffLF{CqsbbZJ@7ZBT*d1@f7Rn`Y4@-$kaTaRqR&zC7NeN#06si{d7yYEtf{Cq&6R4CA7aUWNQ8*DT=e2aT!I$n5rmnpP1(sx
zCB|@hT2}TjR;I;p)mrGs$dxhN3~kCVc|L}lq~+o%g^P_9z{RHn@rgrPzMqaIGio`3
zhS99x{IK|~4rD)x#OlfXDG}ni3XH5J#cL#XFqXWX$rVss;+mcDIsyNZbeOp&E%=ME
zOWY{2tnikdTv1HRERu2Z|
zQgmb;Bh41BUJL%Fre=uJB`0Xb^>!>t&X!rMxRNJpYYjSecn?K0LyPYZTB%@>ZSkC0
z3-CcKS?JK<9Jk63Cr31L{YYgXflLNv)H3}kX-(j!YE%A#?Nx!HKNESmk~3@b{*EG=
zqfPl7W!b7t`BGCJB7(Z|U$d6~gTtU}d4riGoCCcI;({qU(oJUC2^|6i6r`YGoR;?(
zGkL$4%O=~boQVQFlcaCzIKtVvLb+@#NlNBST4EDOOd+e71tjg)#_1X?*-V^fEkNRR
zG5Q{mY9_7YIER>cU6QV(bwo)Tt<)FIqD5zF8Ok-^S_{>k*pQ?bgun!GVjMSB3qIaV
zN>aFa+N6nQ5*d+HVkW;$;TCA2O3kDqm21%^m77UZ8Za{bMk_g#%Ef5&Dk*rS*#3R1
zo`o7(s7(u7Zzgx7akgxY22P>WgDu>ED`$f+N8Xf`plj%9R@cXPa+rWF<1u?y%)Q9nQ1O3Axe|*sYuOE{&@?7Yyl)v|wE(L%QlGpFc>i~ghP-!S)6{Ce%RfCJQm7%
zCi0P>SFqivU@Skw?)3TmaA7Q5BdqEBk22;d3bMX{i`UluV>5Xn2E-3h@^oFPClwy4
z-vPmJJ$HN2ZtEPgXDB6rX`EG#^5`%=E45_*)-0VG|6D02ezG-Im-QSeAFuaZUXXzk
zNc(sgA9sz1_?L#+mnD_$-)gNJGr)Wsmrpt-a!Fbw
z?<=_T$?l03zqD+aSmjWd`cmT1`<$bNPuIeKa8wVU8AlwG^&VtS9Jvzim)4@lk0UR`=%bZPA(ISD
z+H}^TD2_Ci>U)}veBA&e*R)5H$+mTzN$(I$jw5du!Gz|mQZ7$hqdkt8%k--3AfL?!
z+wn;$XA!5}8>M5rT0(PA8JD3&Q%BJhh;2LcgHa>dR>_r+Np`(vHjzcsfYhX&={i-K
zLHsjma*Vikr@jx(B3I3ovX1PG)0LV_4peX@;;voM9zKXgOI39Kvj8^PX6eRl%ibvlhqE5qeFr$7G}Lf~oA+1}dvzw|BCLFhmYk)m
zh4$|OWgRiWxQt4K^gB4KwuF;O1WW99=;s&Ral|qKY&7JZG__dHD5VTGRqAIJ9@@N^
zCFVb-mt-HdmTuP6&!j=xs$g;Y>&K#X$`E8?#LNj=qF0giRb0I`WsTh4(YR)&GhkPc
zr>mi1Kiv@}uK%%K*&>p%U0ls&X|a8eM5^^Fdo3c-nV%cTKdZSKZK>~LGdZ;Fd2<|b
zwsCMH-xEptQEU^LUJF{ge2yVmi(!a-U8A3>69jD3!rXx{g|I@GtkcoE$`(Nt()F
zOM+UueyxLM3Si%xr|S)`kr@qKb%sX3uOUeXktC)t`8xO`Xh{o^J8|FBQQ{YS^=9i0
zG^@H^_!b*2P#nHSy=(hU91Zor7CSvnzhia?isaJ;NG(r))bT{#YUJ{?UHMNWc8cB~
z{g@F9E0Va%NY+o$4}YIA-IKCm5mIkg|0-E;maiWo|A7O7jbim$^@H8N7}GM=WBc`9
z^HdHd^Qii0hrXT1y&bVIe|D
z$7N2lZkUL*kOeT`$3n^Co6pARGA$Mi7hqoeNi*m~3yYx9%=Ods!{0ay;hMQ(STT(z
ztw;3p*)&!otO%RMzMm!PD$KC3Z~^3z1=C>%okk0@S%tLR)Sv4exI9*l9GcE$YReQz
zL_&JPNfYY{7ScbHD<-dH>nkdzg09ixnPegRXK>Zpq%z84oi?e$LgqAc<=Uhw3r>~i
zYLjX$lGI!D)TQ{kRU_^B1GR-b1f+bgAPTrt)~X)d&o4ka^hjy}A0iHeuB&*5~lgJqIF
z;5s$gI!C_*&_O)&!G*@W6nnp4--)`Ys2RCd%%wj=pryEnbqcx!e%H%-J#<^h%XXQY
zopbf`T(36s(-E0|3r>*=Nc-7btlp&vkZEV@U8AtnJR8sEinYx)U?H)EFlpL$Hq3!B
z8mYB|my`H&^i$0%$uH({Q|e%5|FLhHKfU6R_tsyi$({YD?7+KS*MkZclP-ln&R_cEoU#qRm7-jqIIA^WPK
z2_Z8obxt7Q*Y|^mBp%;y;YzfuJVNs3b2FkP$&;5ZO+^Wur>kM1o4xj(JGo5mjW7L9z|mo
z=N~hxSz9sdsK7*E!or-zD)C$F5(ElZgN=Tqd~NsGtElj#?5
z%gBtmQF0WJrdw!%E-l(b3fiMh8W&IIUdq(~ok`+7zmFkbU%;8P`DyVa`9kh|sl_Sc
z46?eDs}(E$kSiM@nw-s&0TC(ti^-xWKh4aGCsh}5i?x^wDCRk0?E8w#LP006bh2-1
zl)OAg(~H4nnhYDyj(u39$2}>YJa{p;RExVTo+MntE!QSh#N%314!P$N#i5{RtK!Mg
zOSo1oXl*=+&jrx7rCfzJy&<05w3Itn3fa-pQz76cxA)3!ZaOKwRB^y5z;r5K9pf|O
z$pe>iOSK}MLw5CW=aP5~U@6Q9QZpGVVfc(s>AZfi~qrD*GDTlrrulMY{xvY$H!M>-B6IrEejb
ze{Ph#B24M%p!A)mMc+k1FV=G2gId#;G-sub2RBVkK3f?;DMl~j7?S7cp#2D~t0*AJ
zX8s7su*zRbE9`;Sp&4MAxCKVgl6X1!vWvS+%g2={xP@ZHmr4YO(sz|q>w>TnOrYu4
zuynGqIZD^Ju9x7Kgp`4e!rv&T!%iA)%ig3?Pj=6biqaCf5gSJ*S&^hJ=jLf)ZYA#J
z++1zS?c^uRxi)ReUBueU$t$Upnyp}qN}xAv?B$ZQX7FB6eK3Q2db!D31P_ou_9_cc
z6v0FB=#l1-`ED*-3;75My19v3lsg$pSZGfr``lcHlt*t?`ahQU2RBzGH3dz6Jf00I
zjUFyF!g>Kse}aO;gD&=lJ^SDlx7+*z)1QOKU>xkTh2IOA;|sw-MmU*CPlS4gV5>>*
z^}W~AVxE@~dSQxgJC2%rWJGQRciX7hACAbz4KQl%KSt!@9v3zDk_3IlxCKGYT{j{Z
z*X1EMB2m3t(rB71(pdN2`wGF9`tt1eJI&+lRL
z7yk6B&lPZbhXzga=r5Vl^S#$&4Vdq_0pB*HkbC;LqR6%IVe{xS2Q5sag;N*b1jVi&
zx^Acwe)cpf2ouXL2;vh+gkKyS6=mEK3M91QPrRxGSyYN{OCbwSC?2hjt
znfSm{qMlpuYoq*yHA&S$-aYsQ#eU)AD(LBMIGM=~VbVr~FO)d^IZ9If+#K%F;Y<9S
zHBWdB%C)R%`2p~dJkuZcbvpxVX8C>HZrpu00w^i4&smEj%cG7AzS4
z_f6bZ3-=tk=MF9({_MMh6X4HVcW?#phr5%Tkd45D<8adL3-`CIlTE!?ypf${`z~l+-yqRgcb)7XPFI$Q09hx^p{DIu4e#%
z(Y5hjE>%L20Ndn<^*%1g@bFE;SG{Qb&@f!^Ah)k12KJLsj)vcVg&Tjq@=2a7GdPCN
zE;97SC~3oxw!oN6>z>-O6zWcxO%I~m+hOfD(B3}ed5%nQ7>a<(a~+0B77E$d(hra+
z;#HAU1LWW8FrYAo9fn-^^IM0Z5dQqrVX(oUf=a_A_%pxKP?UgWTUT?fcXCj=kUUck
zivAqAztVtzepzWiQT~a2B~=-6;H#|4FmVzs_B*cib1Wv4hnuqLMlqWE1=q?Ot{)#7YC;m;2EQ$;a_jjca2LOoGT
z3?O`H))s*#hG7^`GpL&EcNkKkVY6!t*{pqbRT?tc+g69c3R(UdLnc+EK`U{Tb5iD}
zYC|?lmE>@kd{$#9U`g4qa%QCpjkl8EwE%W@N()t~rPh!KXg#%tTn3#cCP&hv8MxFW
zhspk0Lz;w4bgs`a(QLB4%8+#Ev+2rhB9A&py4ie?+~vuJKkvNC{P>KLIx)$!QsnY|QgP
zM{|0$HUue5r@49bzyonR4RIi;LmgBLzvwX7m>j2|B*=+QLna9DY^R}&^{tCqIskLN
zxc&PXX=)!t!FRTFLryN_^SjP-LGRF%&WbbPv}$jFu#uM(3e)(@{eam3`|oT#T5ycg7-oO&Iz~bE9ivw0@G)BaU&p9f%y`3q14sQEv_ShC
zv|(<1!!Q{VfBXhDuy4F!sI+4TXno7j`T^LpK@%0CWQ1yI8dZEb9opzPuzr|y9H(s*
zIc~7ZZJKQ5u$iAaZpdOu88d~)270j+_<6>B8@ItI;Q(qRR&MCY^Fl7-0-
zUwSrEdQT@SGr0@~lSZD-qM?mYJ7$m
zlE6Zy(bMK6{XRUUzcp&OCC~Wln+@h`h_J(m9bm=|%F|^#jOZm?wZn+UniFjFao7!7HJ}L7UYb>{=?o6p0;lVbrKO%^Ii4QWhQ$lh)nFta`a&
z@B}`dH#@1YjF;wVN^b=wmBHM(HEsA;yN&B&VLWJi3iw%1+)o*^i|Ig;*HQp7O^CuwD^pjl9~h05#{X-_{;ItFLwWm`^7fVd7KY)RdmwlC;l0McC4g#edx3U5Kp&OpGq2Ie3%C%>f;rO$GF
z;XZJ^y3oOY^KIHEzkHka(42RS=#V$RV?^)S^^Osp|L?y;yT}gsVm4@~tgW#<^U!
zQUs3Xmy`sNZ;iP!tC4W73kGjK?=6I*WJ}i(*9|j%Hua#^iN~u464fQUiS)D
zsSxaS_PYd|ue7g3A@96im*5j{W0!m3E$IAg=J=P^S0oWIEFAw{}j7Dq;N)oNcAMOMkrFdl+Iq^?0
zSxP;f{^j8yTpxyZo8C9(Vl=|foC{8G&@U6=?g0W^!iw%Prnzt{S=j9jDR@@9L%j&Q
zrX5*qIxi4**=eS{TTN&LzTuFndll$C=OfKC_*63GbK{bt*{&WZ)ZQpKDp(P8_`m|U
z`@lyJLb*=A-wWp#_>>4-n1+~3N2LYj5$p}PeJf~o?;2R~h1=QSDz)XnJmf0GA}3Hm
z7@CzfNB}RjlP+5e2O-(JMpzDn20^ZU5Gn!2C`A#0G9T)7s*FR61pJ-hU`TK-$1Cze
za77!7c)_i3a35QL7*ep+LG}{T9w%&E572wrVDFAXl`}-?2Hy{q&V}vf^#ff2D(P+k
zyv2z?q#`X<#ERHQlNH5D2>?o+-qm1lF_b2Z5+DhM7HqjbcQ@^f
zXV75SUJ+<(xG4`i1pdQ0l&K&lrQA(_j~=zX-`JZq&o>Rs(aCHD~wQ;FJhT8mcElXh#n!l*sUD9C}nuQBsD&nG^5$Zs|=|(L8
z=ZnU
z|G*Nf7V>{#iJ2rRv8OP!^G|PSJCr_8O>M_%Y%N^)NVaD4>15vL##v`msrG@|LK7(x
zMs-tK8Joe07gmDRq-{~gdK-oINhK-92xWi`jEn#}qyxxE`S+FT2SUj|5pZG(!+}qL
znW09}WKGbGmr@O26yypzG%b8m4Q?NLK;NPUsavCbkV|WXjzT~q>Lyw@J9C7LxL8}5?1$QVub
zf57wP-*J3&Jfc!aA`u5~&CwKbsk@hjrY4~buGVnynY3gYQlcx3AH;E&aRNy?4A&I^
z`s4&HE;uji=lPsuZ5kB-dG#-RikZ2_C>BQO{stqTt%Vhuw0zn~@*RehEGkCKQH#4+
z>yWmIrnKR82L4JeZ-zXfRWu)41ol4L&^ab6b4)o6NWL9z9dm=1#V}xNj9yZ{tw}9T
z1*vQ&Crfy~K3bxQ?D6v{70zG~uA&0lC%2C*b*xuA18}h(L)JfO%#@ptiWc}yos14)
zlRREfl1JzjO+&xYMOOaFls18?QsDGuZms666GrD$x!+1%pK@q8NGWr4>dC<&!PA$3#=Nixr;PGU~W=<*DP
z!Hu+)*by73?jn;Zou`
zH>7Uy@#A?ksAT#?{*sxBhK?5&_(QU5AOI6!se5{0jQ63ZNj+z34XD|o(@V(;kjRt9
zEE{4hRRBhis-coNp69Zwbp)2m&VXj-NAD80Da2vdAiFJmO%~W8e_#bT7)=h1Aq(J)
z>R1+EO!EJ1oK9wB^KHp!zLvnHA}(+jmx7gDhOWIeW)3rQA@Wc*Z)*bw3Jjj$b%Q_6
z+yY&lE6^|T!4j?u@_jD%^4?BA_%`5l1YDtTzy||=$jN@GfQrO1d?=e=$(iMwl?5AV
z&gD}LC3bRtE^mkV-qpGMtOaa{L8kCuvjCpla_E$>yak(kg?^#Wxkl)6;+@J)og>pD
zz~#$<9SVa#=
zpdVtqUat#gp8-G4`oPTF@z&@v2YOF9Me*t6g6`O?w)0`A!te?>d*J$^pRMuP9n$b6
zQIsLr?ee|U5KVP;H^Mv&Z>J{7`TUKMj*fwj4ytu*PTSED3d7H7Os2ia4uft-2c3-h
zgpQ7GEu@YtrPK;6pqKK6y)K`y0*4g`o7Q<@b|iZvQ~V%J<`se$h*K$GI|#btS_@3+
z>S%RS@u=EBRtS8t>c%0z=eR>mCP4_wfZqvDw5k!ZI`y~%!BB}_N+=}t=51L-y7~b<
zG)zYayU<$}%T!4&KsG8yrw1on%Dh}BQz$Y5A<3`j)5dZexYVZdpEJ1}yrYA5Y0dTE
z9qOC_5n14WX(9$Hy`X?^gtLUGXO)
z{DM2Z+MVPV@{RFQ+y|mkUF}QB%0jqqeVJt6klXY8?7DPHrK}MWhhb^<#7vB$hEni^
z-nFg{Wz(ij6S})g1-Bc@1P5!WZfeMj>tE&uMiKm
zR2Au&H?bs!%2CA-IZY#@l3>f$HE7xv#ZX^STUl9CR|l-hf(1F$s$U?7hEvLcnm8H>
z0Et9S770q^TkA7pw(>MBu5a)NWnihM#i3V>&b6fG5Mw@t04jtLGN=;tV(>#~27WGq
z2KDG7RF6B-^&d1Tj9H_%>ggL*ZZqVxb<_s_wycsvQ}~9G+LU#zl)J-rPf%oVP)mE$B2IYke!uTQ2K}HVMdPf`!43OqBK0OtdYf1%IKXhWr
zD~EO<2WIhEJYpnUUxtP7L$`BLq`!(cd30hN0B!+hM8hH9NC^gx}!p$i>028i{_
z|IlfL`80|PKw%b*%}n9!=0^@9OSdx4Awd~q6ul{E64^8*g!jE^xNEOb4a5;Rz#Yr
z`N}v2S(AfKo=^*-vfG(!$$r&E>UQm3mv4Efmvns3m`c`F^M~Tpm~kmNzlL{=FBST5
z386FKcXoH70}Oov9VJ#0yT!n*^Z7=yzlLvUMk<@-SqYt^jB#!PJ6ia9axqG
zim+71@ViB7$HdIj%rGaB4_kTj@WMKNiy?+}9a~8JY;P+0yn&A!Ha7BI2C}6gDsl1Y
zZ69=X7}-Y{JxHUCFDZxe$v7_|J=6GEq&>wDO9Cx?=Cn>%XtfI_qjU}f%O)`VbkLP#
zTvYMHD2J8@7r9^-qc9KaM}2OEkk)#135y{~@>s!6l%j?q%wlgbaj$inx}_
zl7_Jmr={$(a;XPDm#LnYwlE^lmUCG31symAC@c#Uk|(C{cC!BuTnxFpAu75+(}yYR
zw0CKGZV7R;@RL#?_(y|1?bJ6ahF_a2CjM$ZBV$DO0X|t@B?qSQa7{dRz?WM1zjHZA
zA^y|gfuRA83_t*lh8w$Q_4=_(qtTKgOSpjo7VuqQM`)E8fh?95vWhhUG@3a!0~a5M
z$Ru3k^HzT4Bn%d5sRJ9YREGOB81x!2HR$!Eq|gCOUJeK207AjIM_Kb3m>FtKZRE*WUkSiPc^aiapsf4J_B6e0~{kF9UxQr#7LWp*nZ0a@Jv=V~>MOataDx(0c46zmwNgfQDL+xfHAci-UE3n1nhrc9I(hMbUkIj>gbSo!x{t2Veg+WWEX5pV2@m<3&QHkY$P2*
zbkaU3XScH-!+}UI$?xEE&v$y4`vbsNA50E|UGSqhv?8UFvtdU7<)_t;eicNe+QDjK
z9pC_hjYi|y6Al1f0UUd~!VpmQ`>0tVFs>(%1Semf2WuwKJ3*3YI%pgdO&P`<=^A2_
zlYfjxG@ySYL>FvUpiyg|-&dwKnXRKk{b-{8W=BU!DTpzE4dQ|&2hGkPG-Zg))eXPB
zDf?QT;E~ZCUDDJ6+3=NhySf5VE+_h>r2o&xNr{fBP5o1w+&;R9vBpkv=kvK_#-EId
zEbfA+;ood&C8^Rb?ZINn|KU7Cjq6Iy3r3i(9{}BfWM~d)zZ?i2ooi~DagP`Cw2@=%
z7iCn2xWWxaGVGIeNJWmcLMgf&f(_x6E0JnlTCq$HJj-;bKA2n8e8kfcVM7WmYoO}O
z7#yd?0L>;T{1ipo5Sg@aFDVRih4VV10J`Hc+8RFI!Npdnj
zQe0jBJT-d~cT&HWsJ07pp$X_jBNXw2pS1#18#ke$LZVtTL!jeLVOdc>U5B8{RNBI-
zjOervTwWbIWl@vuu|v&<66$Utpa6Je`-Swi`RcQuE^^nb4)sl9Bu3)JNNGFWWN+qZW(CQr>QZJ`CRZ|7fXdwH*tEJoF
zFkmA@sCkBY7A`;v;Pb;0p$;K5F!q1JHqB8{0$b?d7O)=ND+()G)PzV>X{`*CAW#O>
z=y0h!Dix|C$i&HHNmK>@jY}G?BK3yX^VhD
z%y~fWd|-4<*^;%efpm=k8ynoPhZEEj-4f(RX{!-}jIe{)+K$-KF&otHRH6;Km*a+Z
zkR64y!&2n3c2%{oOSlG{eXz`5DvhaFy|$H+6i@@|iufaRQ9D?wVklFZjuApPp_Gj1
z4r)^~dgypNI*!G_jE%)5N{4O&G@(qW6nX^wSUe53()L_dITa%Fi>Ix-Tz%EB$J!ZX(g{dbL{JcL
z#Udy%c&)g(8azH!VQQRoF&?@9sNo|z6O;CrfI$b_hMQZN4HxKY0|uPHF{GU**pJr%
z0BRUdK>k>ZS&;SbWQUTuFdZE|z%jLAG=4CaG&0m1?4s5q4j3;P3a3eODP`^5EYcZmwm;C`XqD(Cn9b^$*2(J6r
z46}5=*V93T1N_5`2d%`&3UKU&rlkfD1P)UQX81X${P;RE=l`#|ifN!ijo%q6SqMne;hv
z1ZC|bbsRP5q>RkEeAdI*hyjZU5xkHPn?QDcrAW0*A7-f>(oU&L@j^PK1_jjD0DRN&
z1&EXkF|;m5AJIt|F^WZCs8l<&ZE4lAcHFQ*PrBmzuI8{6T5@`32Zm*ksD3PV!Y~B4
zks!IWV*!j30!G;?{McOfcv%bkG%_bOO8U0&|&43@*{
zRlr}?-&+7CaS;f)gH#{_
z3Z6^g2CvN?mZ3(VarHg=$W!<(pcl#^I=|)3gvS
z)qr9N=Qvldpy37Z^_*Ti{GQRPK2vI>vU{#@HluH`q-esDaA1{dP2=dTauPu>Q3-q9
z(1@!btkVUj!NBuFDWRePzj!RF8x2HAISnHFXVAdp@e&AIv_hP=7laEgFz(St&A`%&
z{cE6!X@mRxeYCxoKn<=C)85LHNI89TgThy}E?C^W#9mch3(Z|ue-3NzbFuYMOf}1t
z4zL_7YPb{btnDigcDei4NYDPT*IQmwTU|FE_9lj5?@=F)fn|=``s%vshRRwJ-@up7
zkpsBYZ&0=`z^WwM7^)rEq!{ig)`-$a-~RT$SR6XzwIKkEjEwurDt8kQ+j=);P;njInn6
zBnARIG)^ZjuEEsqKU)C`!ZF^Zblr#TMxk3#q~#sWeliEy_Ge=*xvL>6redTdbjvK#
zCZTy&w2Z_$s>Y;2$rHe4kJa8O<)N`=~szp+fiY_PTgOB*!iN-ZUgJ>mkr+$8uH
z!WmkL0y2e1nDoODTL1JwHw(Kk=aJ2Pg<>~Iq}Wre7aW@N;#I|3no6mqi&ZS$t$loc
zs?KGXEE`$a$XoyaG-KZXtr-h;_klf>jTzb1$XO$b2}283rC%5ZczeiCL&2KmeD)1{
zjFrv7SX6Fne0Nk&OvT8(x4r4`q
zwSe!6Q>dZozfDqgt)s4{4n`@cx&g#eUr|ZlYwN3OyX)%d$7qZ$({379^t#v8wLzXHY6v`IWprb)wAVy3LGu0xc}Y>T
zO+an)n%ahn+L}sAbX7w`WmR1T6}Gm`>uYQ3>#A$0fa{<=>KiI+H1d_&ysECMvaZ3=
zfU>BAjmEVNRkTEXU2SbmLoH3Os;sH6sIQ^2tE+)6%GGrZ8ceLEv~6BhQBhxC;iy8S
zwN(u@^;HgvRM+NJRkc+Wbyd|TVX6WLyt<)5A_=&tWldG*a8y>;S5+g{nwqMHTKK^C
zhKjoSn%df`lMq#&uFdnLHixa%j_T@K${aXwRh6|30<^h0$dcWSTzb52115Rd%Uct4
zV`d4lg!!i71!4ZUiCq(8X{mzyN5;Xg`BSLv}GCOC#mJ(8bVl31??oI%_5qd!hAeC
zJ+dbqQe;?K;iqk_9F$Def#~>c&E#5h5N4bn#>*rU!F!JKxYqnpK$a^)Yc1ef3rB%~
z-$ub3BoW61uC-_sh~+9oF-I?D(i0NVUi#EJiEEvVNa8fKGFh}HNLjKp64!nM|Mty2&@OCpLM
zAyyAxg8sp!&Xj;Au5~&>rjHIOK{a!&vk)rtB&ZQ|&WUiXXCq|NNJxp$S}9)^7rM_<
zCG)t}1y~e$L>Bd(0Iuq9y+}&~-9v$gc9reJh{p!)`YPA@8-%n-h$y5~3EYnUd(5-K
z?)8jBCWAk6t(ADST{}+a#L!w|gkrh)
zgG3RAYO=A_jcL;HBdJq7%@Pyk!9cR_5=mZT>pf70-Oj~GW|zZx=EF70>=w;Y#7QsT
zl4a#}NGGyc$r0L!pq>k5WS&m?M)KG5xoI?OrIIzkvaVRqXB+N(cKG)7{CP&^hZfK3
zg^g0J&VI@BE1rc@FIPbRTo{1+uUy@;smn|~&EoUn)bq&i`7p%EMKFH}-JT_7RqFPL1xf98;QoG<5XPr<%cL91yX9A0AG6gr7h*78otVDG&2UEpu^V
zVE4erQrP_ot7PriSa7BQy&G8Qgef=NK8&kp^xUVqMG=;}VPgYqr=8p+6qgp0v|;|M
zbXpcJ1ag6ce7Q1lA^s=$j0wtTaeF(xkO-ny?d`>l!sY9fSqZuR3BIU|eXgSgx*(*6
zYa+#7XJ2Qx6Yga2!gBHDa_#FHNfQ)F!P`Msx3>c%-k@m1QshghH4W?$5=FD1VhU9}
zJo!m}s!3f9m(mq71nBB3(3Ih_YJ0mT9R_eOu%}6ZJJ4`U*Q7Xu*z`&QNjku%4e#5>
zFXD!S`}z4vp0VyyDP5vEKw>;X==35s6NFr5Du?~5XT
zF`9A=CB<;rf+5Q}o=zuiC2;%@RNF2K}xdYA-1v
zQw^rl;Z&n(mWk^j7si+-Mgss8EG9c|+iHucheMV^c{S)w&vL({Ry
zi|@c8^?oBCO*@tiCu6i5;xT>=dwpE!(sQyh6Q
z!PGwmSR%^S)Xf)GtPE*k^UUh
zMDl5!DK)}E@$vB;a(qXwmrDzmf
zlM&72$-n@jA=5sG{lE$m9_R|un;yu!HEAd#2NoLynh~pHpvY6<6y3*pruT=F
zQ%oOmBDxGEBLoJrhI^*y2)0Lq`6sg-IBP
zgNeR6GBeZENq%I5k>#08Qxr)~Hl=WV#8zS|QuT$zWtr|FkxhJdG;C&7R3#2JqJS3T
zw;44iFH14OdaZGT&Ln1=@<23`OikpLOj9h`n2VZ{V|rou++359BlGi2Goyq_f)CDi
zZOQ`yK9pxVdl-byailB-3j8DAltPxIo5m&B@q#H|H<~c$38X+U<r{!E&*Vl^JTBZflLeIxbli$c?lRNu&5
z<4ya?tR`7y8j5a&wU>le{*;l$fN+pc@2OmZ`{;JWi8^
z%iUhr0L!c|GNmMHGT}y&UYe7DZz?Hd@M#|A%SEQ$1o{CXznf^fovbT{H_*>?^2J2c
zBC^(I`n6u;a!8~EG&1-9wRP>`RaIBsd(Tua=iGB|ntyK2UcbHe+H0@9_Bre9v)8LmGWC@~nhZvEG9MGdL39qe5L;9|y*Hh!
zu~j`f+JH{agf<#C3;v$2p9R+t74uB-2Q?>sO*d!h>+a*NcGLJf6#8fuAk~(_8v3Kl
zKJk%K_+fF-Gh;Kn4zBAp#{+TbMPJOCTt<-+C{X5-=3D_q8RmbU7`8BDIvYmNa8(>L
z17QIY+Umb)U92s0VcRMMO)^aximXqjFuti=)0EFkL!_@uXTv#~Rt8(?zB2CcXJzm(
z9V~~H^l3Q{#L_vuUL2XjURZ04eM@rc?B4$FzAYQNdG({Se}lv~aYD+f2-l*86_6UU
zo!)-lkIeg+`e<)4!-Oy0Pyu6NhR29retj0BOS`&Am_Jg%b2t!*Mk*jPT$Oi*_iT+-
zrHr}pjkAbyh-?fohMC(!Vc$NN7mOJDopZxeg5TN6O=qlf5m(klTs0UvzFF?~X-NbH;j}zjnKYy0Y&o5i~iy$MG+-7d$9Xa~T;carxs=ZF3)$?Hq9hwgp=)e_ln3i10
zw?>a%3Eh;w0G82;1@KiGe%~2K&n|#wN?r)pQO`n{VZ=PRkWKoDg>W;?sDvrHdFrc#
z^sGP^{kL>);bqM#BM`jMFBjPZa7b-Fa$J(AQupw)O88n#9a?Ed#XdHN?y7=hv-pU|
z{RU?<>C@gvzHL~`U)!?F&J*{+*-5J)GcuOWRY8G?bY1B+QM4LL%oTcVoDLZZlk`!{
z9$zi5hH2*H@~gb7`4N6xSLl&;8LvS7D|&lwu}}0J-qm!d8m8Atu)tfX<8!&;3VIWB
zxQ2=0L02mW0WA{_+fjNA%b=NT@^(;p4NNH2S3AAiS%$oj2)v&2Vk=9bAHedy>)lJ=
z2pH`59-#YcU}A}8aKJmn46?!u^wMX74&G0^BXq6?3QU0VF?~RCTx+s;%6Hkk{@No00n^70b`E9F)bSMW
zBkyA_$q4h)IazfVFQAf8PVV5o-{hs3_)Ag*GwFY7p~ysW#&WQcKjVN2CWisX6(>rK
zIQise-$r64+mK-n4K+n_O(>0nggU-AHY`J21W;mc!ZkY{!6`(1wID~m76>GPNeEGC
z<8UD+1KW7WIZtT7g`;rI!X-7-kTs<)LrICnM{Jj_iQpv?xXR$CHhERvWA@}(jpLpnL*H2~8x16r3Hg%Gg%se?ZgdYn8Qq6h#_ICz}y
zZiMkhB_|zxk{)k_{0+L7|KZ@N#OmR9A^41gzlaAU*xWB2JS~7Rfq)@9dcnaLX-<>%
zi#Y7y8NtRn!-uoUhF{y+5eHurdRTY7oiyyE@pT8^NW>&Ka(vUlx8vL44fZyc`WIDe6@`LTna#Ixop9&#$5I(R|o8A0u?E+#MbUy^+8
zV8ms5Oa<{y$#F4R=t+KkYj=AbE~nXxA)F*A(0-|eWQy@g&vkwjFIO;i5a~X7uy9fCTJmK
zteq}iO9Rc2Z-iat;u^sw`B*y=nYLWFBJuY`4{(EvHwR)^K-`?#?&1ysXf;@XeHkYn
zWaog3-yB7cy+zyQ;y@xfmNo@9i?#ndUA#-k
zdbq9Z{+9%S&$-9N?+Hi`q~F1i)7tCeKKknt|F&Y#MWP8y{mc7Y`~fxar5T6&U3?&s
zndGeTXVd`~ee=^H&!yNUdz?yLmOnlQnKGe(vHI0vQ_z;RsJKwijKz1Q?+`X~0B>dIC%o
z&=E|o&xMwHkf|R%5CE0X;)RevPf$GxFd67J4<;GEnF^Q&^r+`M`*gr8prPP88!#8>
zgWx(Jum~ut)%UX#04Gb6dP)Q$hhD@_1uPaoo-Z#STEg*7b9zJUZmR@vhQQ*L6Tbc6
z=ufF2{EpMZt&nAGsSL1ubmj28s{p)G5b>Ico4X4Et4A{lPrX{ex&%ZH_l0+S2kLDE
zYy$ES3XFQ20ha)6Lf^x*0D6gX$TRr5&3(T8Az+(8!Wvy8ALID<1s#B$0?^iPRlX)P
zca{UL5PDeSoL4~}3%BTyn4JhK0lzjHComI^vass_S0~EDhXM23H4FGUV2=R8y5(oj
ze)(|4Le>LDHvm<&L6OnRM!@TVR=2@8bA1Eg7NCJP-wd|`_5(f0cr(H`0p2Wag!>%!
z2-^X72t8~*HXvq2*a`T}zlGrVl11zS92kwr>gGM-y%w??@LN2*?NDgM{tn=6K%3hk
z-(24gcn8qFc9<|rJGnan?;6cgM}{oNdjP)&^lHFyFW^3)FWX_f>G&Yvy`wqkxR&Lx
zpQECq5jtLD5%&T9U^GHUX)NM?zy}1OU7|Iq0eK&6=?4HG6na?weH;1fPfLFY@SjJ~
zCE91{KL$J`^sr5vSeOO;1n{r`LY|NEJHccL#Up@^0?qF9)qE82380Qn|Bmz+;0d5D
zoxb%v3HTHbLqI^AwX%YO*@4d4*abyxXvy$txusAfZA{TJYGg&v-1ezeXu{5!yr
zL>6INcopz9p@$UBXQg)!Z0eV}rbSEsTqWa3;xP+n2+|otzzP`w&dIT&9mV)tkv&(sXV+&QaI5W1}B$nynMG<
zkmGQxbY=*q`WZv7mr7kyYa_2Se4dp6vWG#E^HvVSbUjzScf1RnhA;hP$o;Br>lO&xQk6*P|?7AqvAVH2~&7jK===EWcY=9Ssp*UUd
z`|Phux}8B&{w^{#H5AC9v`SUS)mtmog4}=XJba1%+o8lI@GepI
zWrGcW$)VM?O40MRO7di%sZ}PSEm8yzFow!o)aAzI9*p4O2pwIdCT6q+uKY1c%c=_%
zPd;gMZ=G)RRGpg74F6K6+b*fsg)8b+sS)9W2!0_VOs1DtMW&iQT#Voty0Jk`QVnZm
zjiz(;O48w`H)usvH|VQg^RvG}l^eMlqSzXxXKGYFJ=h&dF@83_=0<5_5Tj|3_RnJu`n$$e5y1q$CHotqCl%)9kX_NYj&i##lisJtYhqT5mTjHvJ
z)TE}mBfO=JE>>~X5vpCR<|`?j>vhNXEK?=69aG-X6%mE(YgLmj
zZR7(#L>T5=FnILi^eF#d+M=e%_|n)8C9!Tq-`2`6QF;Q*2cT84DjyDr5?4ejig(tul|9of95h{IWPv1VSr{mG%+EtDm*Hb2PLjTM-p&jSd
zC$xLqX?`9$q21$42J(r4Og^cRE#_z2Nj+`uJE?g-b5com-m@oFL7w&s(I~EyNu-Q4
zGW#-~RQc2O*!UvKtNz|TU&kp{aGl(EP)d&6Z5=@G9Nkq&A|#jUXnLbiYIG0
zuP5;O^J+pkS9*rQaZU>TRkXk6uJZbs$rwY_XV~Z)8G7oxk|pl!c~xioT){AecLjKvnSLS8f&-LpqWfCkKx99x|BkZH)
O79uGBJw5)GD*b=k16B0^

diff --git a/docs/build/html/.doctrees/index.doctree b/docs/build/html/.doctrees/index.doctree
index f1845d56f6a9857aec6da0bca01fed4aa5263270..a8eb7e26b8f65972826b4e6e2337bce28568e678 100644
GIT binary patch
delta 4483
zcmb7HeQZ-z6zA>Rv9du}XIOf+FiKOVb%ZhiH&9SkJ}
zqOKuNQ12r_0|KH6A;Czd5{!zN;73eIMof$*3h@sT6ODur{D?-+xv%f_tu5X7qo?oP
z-upY}_dDm@dwY4;mFG%#mmd7K|4iv3u8457nd`3LNHJ;f5gQ%mo~mUpa!V%>$N0|J
zm_HsTd^i1xtLJP}e{&yk1NRXtxtC~be2IXcICm+nWa+R%TH)h@Pdj`%hLr^IkZ#gI
zx`@qN2Ft2&St3Asrv5BGP*k~AN1?BlP4sOn1SOYA{I-M?R>&qq^#a;jKr%nEg_}2z
zZY?=F^;>ysQFR6q0wWu!v+`uXKR4W<0hgZ>r3#G_tv1`}2d2P^pN%Id?CjgPOa%H81k?ps}(QT^bFV^oEQy9LcC-j;KxJ->g-{lvWgzFSr)KX
z(43y2U)n-t>A1TZ&4cOv3qV5lpav2`5Wlvk>3t!1Z^z_nqnCcyxH%t_`|Ss9PZeZB
z|Fv5{{Pis2b4{iK34jDa0?supepGLlsu9UQ9*$4A(?M&5v~m0G$cWiwsNK<@kAdir
zSMDvyAd`#A&3st0ZxloPC}v@ha+bjYe1J3XS#6m=WGpCvtK1Ga?lFdw*|6BCT^r3Q
zG@8Sx&)Ja7ZV0VMp?(V-UUgcBWttkos^E9{$D*Tr%&ZwNJqoNcKM@HP~ETluEo7(FN9UHsbH?3=f
z2m!bSzwW4*ocan@m}d7Hv!>Y0mY{-rEw`SYcE1$ysd5N?xK_R2HG}gNIGlAKl&j-n
zFfQ@Dd%NV1MtKREW#$!8SdJ)GVP+suyqcW!c*o*&!NJqgJZ+WkDsPiv(ajE5dQo$y
z%bK;Q*l=7HvFqDpXYab08pyNwbw?UT^c76Qa?fM)d$ej4QgoZAnM=`qo(8ZdJ&vRT
z)3bGIl}mQO4NH-WWATt8mxFcVJD;uAYif`O@?aRJvU4gV1{GltX3BQ~R!AK4ha-x>
z9i`SDH{H`^NqU5r5l&5E2P9$NEU?(v+La#Xzcl-N;RSSI753m4lNCjR{0c8pOSfZ1
zMybzm23#eC{qUgcr;pMZqg3j4B)@{893_P}VRWuKUd)3qM;$L0(S{y(@;&rc0p}3j
zId(r}V`|SV%I7#HCZr(z$Lj*BQ(Nx)o#Te4
zHmqFEab0w8Z!^8to2s*tcsv^G>+Fn+;%KZR%*VHNh|&l>(6@rV)9a#N^c|tGRc`vh
zs^^o>K;Qzw=>Hln}G5;y%JH`B_
zn9mgR=VQK7%ukB>@G*Q}f-FTqMym>FjRUQ>$tCg?<3#>Z3AI9u8&yUdFkHqcicgG@
vf=`SQ9@{FTtN6qimFSG{0Aq}V$kg-w-Q42J5FZpJe>^Nk6dx8;BGBU`Nel@%-hd2AA9AhPog3d7_SM;0
z%tF(pt$>X>ZIa%JDq5fkP*r`12&_t!KLJ&uMOEcA{nbA$w5lkr)Cxrv2o$O3-r0HV
zt{ty`?3tN6_nv#c?|kRpJNwrsZ=9`vs{Yb%55HEwn`>2@R)kb6n?OlLBR$+iqYKyJ
zeG%*?OWarQW)JFg=#dPPGoh%QRE
zY!pwezgKs@w)v>(h2$K$LlN`wwoX-tjLu|bQNs^X|0lrj(e;6b>$N?WKX8B-N4}}i
zxa!rT)E2wdQW5>{SoHXHD`b-ISRjveoSrS=x4Lu}
zv-NUA=dQlLZ(R$-+coMM$L|-5q0`8*r79wIdFxsIkc(a3URwnhu6rM-
zr35#uHD^M<_N?!-}8Ilp0ehx^hE-_{<zC+bU`yZDJqJ5|sZ8!ObtGm#bis~kBJ3dF;
z2U`2gg}^{(u3lbPy}F=}lU(*Y9xo=#a;ZBpufMY-0N(c
zZ!N3##?ZlIiXNv-FFT?*WsYDJ7eWuWOc`R8&XEs71Kc^%5_W+d348l5ncejzz+UTQ
zIo!Wg#vjq+x&W7Q_U(s!b}j@SHR(R+sW!o>P)H?sF{w$HYsuWy82KdJlOLD9N8Ra3
z4MJMJvyEFywDIjg`#-yVf9YvDMZfeddSOgbULfPrGvva!cg7;;ZQ7$@S(DDgjY*l=
zs+F{o568XvcTJy_BsP1t;;BarZ#{L01Fzj(*$^=BBSp>-yJgAY*6|qN@*bf
z8lA2YHahlwMwcu*zab#uH``2N=a=@swtat#-_A;ck4<`P1m6U2l?0ouB?R9jFHU;$
zpV1Lp%714Bf3gjhO(ff75L{30nhNUtIx>itW4N5%FtGK%ZDz2uOZ$JceSeGHnworx
ze60nmbmfHo%n{AT<4Dm|&dSC==k5LO|i8rKc74mf-2m
z`);#%joBSm29-%=Od1ZJ+kXHnN;)$e3JJWz7Y__U5h-VaDS4ItD?xsGaE3I_zTj*{i6|0Q
z#00;JGUTP%@Ex5Q6r)S|N(RNxfZyb!+Bx#a*|YgL5F?3{olo({_*MK1d;@Ptufxef
zx=PIiH6dzFQL{wN6V$9x^CC4rqQ*=8xT*OUef)r$Hu~5?jX(`gO}GwB08CbGf-mnp
zQgUfH6~Z495)CDSKaJp53;0HX#Smfh7uehdHgAE=Szz-;*jxoRPl3%5Vg4goJWL%j
zSginS4PgBQZ{T+sCVWc=Gy*X$>WCI;xD3(P=p93JiQX|p^z@)3dY|4gMD->jx}h^f
nQfmFVyC%577BLx%X9dV&YE=VWH47+~lG#qGvHxSource code for collections
     
 '''
 
-__all__ = [
-    'ChainMap',
-    'Counter',
-    'OrderedDict',
-    'UserDict',
-    'UserList',
-    'UserString',
-    'defaultdict',
-    'deque',
-    'namedtuple',
-]
+__all__ = ['deque', 'defaultdict', 'namedtuple', 'UserDict', 'UserList',
+            'UserString', 'Counter', 'OrderedDict', 'ChainMap']
 
 import _collections_abc
-import heapq as _heapq
-import sys as _sys
-
-from itertools import chain as _chain
-from itertools import repeat as _repeat
-from itertools import starmap as _starmap
+from operator import itemgetter as _itemgetter, eq as _eq
 from keyword import iskeyword as _iskeyword
-from operator import eq as _eq
-from operator import itemgetter as _itemgetter
-from reprlib import recursive_repr as _recursive_repr
+import sys as _sys
+import heapq as _heapq
 from _weakref import proxy as _proxy
+from itertools import repeat as _repeat, chain as _chain, starmap as _starmap
+from reprlib import recursive_repr as _recursive_repr
 
 try:
     from _collections import deque
@@ -160,7 +147,6 @@ 
    Source code for collections
             return obj
     raise AttributeError(f'module {__name__!r} has no attribute {name!r}')
 
-
 ################################################################################
 ### OrderedDict
 ################################################################################
@@ -398,25 +384,7 @@ 
    Source code for collections
             '''
         if isinstance(other, OrderedDict):
             return dict.__eq__(self, other) and all(map(_eq, self, other))
-        return dict.__eq__(self, other)
-
-    def __ior__(self, other):
-        self.update(other)
-        return self
-
-    def __or__(self, other):
-        if not isinstance(other, dict):
-            return NotImplemented
-        new = self.__class__(self)
-        new.update(other)
-        return new
-
-    def __ror__(self, other):
-        if not isinstance(other, dict):
-            return NotImplemented
-        new = self.__class__(other)
-        new.update(self)
-        return new
    
+        return dict.__eq__(self, other)
    
 
 
 try:
@@ -506,23 +474,18 @@ 
    Source code for collections
         # Variables used in the methods and docstrings
     field_names = tuple(map(_sys.intern, field_names))
     num_fields = len(field_names)
-    arg_list = ', '.join(field_names)
-    if num_fields == 1:
-        arg_list += ','
+    arg_list = repr(field_names).replace("'", "")[1:-1]
     repr_fmt = '(' + ', '.join(f'{name}=%r' for name in field_names) + ')'
     tuple_new = tuple.__new__
     _dict, _tuple, _len, _map, _zip = dict, tuple, len, map, zip
 
     # Create all the named tuple methods to be added to the class namespace
 
-    namespace = {
-        '_tuple_new': tuple_new,
-        '__builtins__': {},
-        '__name__': f'namedtuple_{typename}',
-    }
-    code = f'lambda _cls, {arg_list}: _tuple_new(_cls, ({arg_list}))'
-    __new__ = eval(code, namespace)
-    __new__.__name__ = '__new__'
+    s = f'def __new__(_cls, {arg_list}): return _tuple_new(_cls, ({arg_list}))'
+    namespace = {'_tuple_new': tuple_new, '__name__': f'namedtuple_{typename}'}
+    # Note: exec() has the side-effect of interning the field names
+    exec(s, namespace)
+    __new__ = namespace['__new__']
     __new__.__doc__ = f'Create new instance of {typename}({arg_list})'
     if defaults is not None:
         __new__.__defaults__ = defaults
@@ -559,14 +522,8 @@ 
    Source code for collections
             return _tuple(self)
 
     # Modify function metadata to help with introspection and debugging
-    for method in (
-        __new__,
-        _make.__func__,
-        _replace,
-        __repr__,
-        _asdict,
-        __getnewargs__,
-    ):
+    for method in (__new__, _make.__func__, _replace,
+                   __repr__, _asdict, __getnewargs__):
         method.__qualname__ = f'{typename}.{method.__name__}'
 
     # Build-up the class namespace dictionary
@@ -576,6 +533,8 @@ 
    Source code for collections
             '__slots__': (),
         '_fields': field_names,
         '_field_defaults': field_defaults,
+        # alternate spelling for backward compatibility
+        '_fields_defaults': field_defaults,
         '__new__': __new__,
         '_make': _make,
         '_replace': _replace,
@@ -682,7 +641,7 @@ 
    Source code for collections
             >>> c = Counter(a=4, b=2)                   # a new counter from keyword args
 
         '''
-        super().__init__()
+        super(Counter, self).__init__()
         self.update(iterable, **kwds)
 
     def __missing__(self, key):
@@ -766,8 +725,7 @@ 
    Source code for collections
                         for elem, count in iterable.items():
                         self[elem] = count + self_get(elem, 0)
                 else:
-                    # fast path when counter is empty
-                    super().update(iterable)
+                    super(Counter, self).update(iterable) # fast path when counter is empty
             else:
                 _count_elements(self, iterable)
         if kwds:
@@ -814,14 +772,13 @@ 
    Source code for collections
     
     def __repr__(self):
         if not self:
-            return f'{self.__class__.__name__}()'
+            return '%s()' % self.__class__.__name__
         try:
-            # dict() preserves the ordering returned by most_common()
-            d = dict(self.most_common())
+            items = ', '.join(map('%r: %r'.__mod__, self.most_common()))
+            return '%s({%s})' % (self.__class__.__name__, items)
         except TypeError:
             # handle case where values are not orderable
-            d = dict(self)
-        return f'{self.__class__.__name__}({d!r})'
+            return '{0}({1!r})'.format(self.__class__.__name__, dict(self))
 
     # Multiset-style mathematical operations discussed in:
     #       Knuth TAOCP Volume II section 4.6.3 exercise 19
@@ -1042,7 +999,7 @@ 
    Source code for collections
         def __iter__(self):
         d = {}
         for mapping in reversed(self.maps):
-            d.update(dict.fromkeys(mapping))    # reuses stored hash values if possible
+            d.update(mapping)                   # reuses stored hash values if possible
         return iter(d)
 
     def __contains__(self, key):
@@ -1086,7 +1043,7 @@ 
    Source code for collections
             try:
             del self.maps[0][key]
         except KeyError:
-            raise KeyError(f'Key not found in the first mapping: {key!r}')
+            raise KeyError('Key not found in the first mapping: {!r}'.format(key))
 
     def popitem(self):
         'Remove and return an item pair from maps[0]. Raise KeyError is maps[0] is empty.'
@@ -1100,31 +1057,12 @@ 
    Source code for collections
             try:
             return self.maps[0].pop(key, *args)
         except KeyError:
-            raise KeyError(f'Key not found in the first mapping: {key!r}')
+            raise KeyError('Key not found in the first mapping: {!r}'.format(key))
 
     def clear(self):
         'Clear maps[0], leaving maps[1:] intact.'
         self.maps[0].clear()
 
-    def __ior__(self, other):
-        self.maps[0].update(other)
-        return self
-
-    def __or__(self, other):
-        if not isinstance(other, _collections_abc.Mapping):
-            return NotImplemented
-        m = self.copy()
-        m.maps[0].update(other)
-        return m
-
-    def __ror__(self, other):
-        if not isinstance(other, _collections_abc.Mapping):
-            return NotImplemented
-        m = dict(other)
-        for child in reversed(self.maps):
-            m.update(child)
-        return self.__class__(m)
-
 
 ################################################################################
 ### UserDict
@@ -1133,29 +1071,38 @@ 
    Source code for collections
     class UserDict(_collections_abc.MutableMapping):
 
     # Start by filling-out the abstract methods
-    def __init__(self, dict=None, /, **kwargs):
+    def __init__(*args, **kwargs):
+        if not args:
+            raise TypeError("descriptor '__init__' of 'UserDict' object "
+                            "needs an argument")
+        self, *args = args
+        if len(args) > 1:
+            raise TypeError('expected at most 1 arguments, got %d' % len(args))
+        if args:
+            dict = args[0]
+        elif 'dict' in kwargs:
+            dict = kwargs.pop('dict')
+            import warnings
+            warnings.warn("Passing 'dict' as keyword argument is deprecated",
+                          DeprecationWarning, stacklevel=2)
+        else:
+            dict = None
         self.data = {}
         if dict is not None:
             self.update(dict)
         if kwargs:
             self.update(kwargs)
+    __init__.__text_signature__ = '($self, dict=None, /, **kwargs)'
 
-    def __len__(self):
-        return len(self.data)
-
+    def __len__(self): return len(self.data)
     def __getitem__(self, key):
         if key in self.data:
             return self.data[key]
         if hasattr(self.__class__, "__missing__"):
             return self.__class__.__missing__(self, key)
         raise KeyError(key)
-
-    def __setitem__(self, key, item):
-        self.data[key] = item
-
-    def __delitem__(self, key):
-        del self.data[key]
-
+    def __setitem__(self, key, item): self.data[key] = item
+    def __delitem__(self, key): del self.data[key]
     def __iter__(self):
         return iter(self.data)
 
@@ -1164,30 +1111,7 @@ 
    Source code for collections
             return key in self.data
 
     # Now, add the methods in dicts but not in MutableMapping
-    def __repr__(self):
-        return repr(self.data)
-
-    def __or__(self, other):
-        if isinstance(other, UserDict):
-            return self.__class__(self.data | other.data)
-        if isinstance(other, dict):
-            return self.__class__(self.data | other)
-        return NotImplemented
-
-    def __ror__(self, other):
-        if isinstance(other, UserDict):
-            return self.__class__(other.data | self.data)
-        if isinstance(other, dict):
-            return self.__class__(other | self.data)
-        return NotImplemented
-
-    def __ior__(self, other):
-        if isinstance(other, UserDict):
-            self.data |= other.data
-        else:
-            self.data |= other
-        return self
-
+    def __repr__(self): return repr(self.data)
     def __copy__(self):
         inst = self.__class__.__new__(self.__class__)
         inst.__dict__.update(self.__dict__)
@@ -1216,13 +1140,13 @@ 
    Source code for collections
             return d
 
 
+
 ################################################################################
 ### UserList
 ################################################################################
 
 class UserList(_collections_abc.MutableSequence):
     """A more or less complete user-defined wrapper around list objects."""
-
     def __init__(self, initlist=None):
         self.data = []
         if initlist is not None:
@@ -1233,60 +1157,35 @@ 
    Source code for collections
                     self.data[:] = initlist.data[:]
             else:
                 self.data = list(initlist)
-
-    def __repr__(self):
-        return repr(self.data)
-
-    def __lt__(self, other):
-        return self.data < self.__cast(other)
-
-    def __le__(self, other):
-        return self.data <= self.__cast(other)
-
-    def __eq__(self, other):
-        return self.data == self.__cast(other)
-
-    def __gt__(self, other):
-        return self.data > self.__cast(other)
-
-    def __ge__(self, other):
-        return self.data >= self.__cast(other)
-
+    def __repr__(self): return repr(self.data)
+    def __lt__(self, other): return self.data <  self.__cast(other)
+    def __le__(self, other): return self.data <= self.__cast(other)
+    def __eq__(self, other): return self.data == self.__cast(other)
+    def __gt__(self, other): return self.data >  self.__cast(other)
+    def __ge__(self, other): return self.data >= self.__cast(other)
     def __cast(self, other):
         return other.data if isinstance(other, UserList) else other
-
-    def __contains__(self, item):
-        return item in self.data
-
-    def __len__(self):
-        return len(self.data)
-
+    def __contains__(self, item): return item in self.data
+    def __len__(self): return len(self.data)
     def __getitem__(self, i):
         if isinstance(i, slice):
             return self.__class__(self.data[i])
         else:
             return self.data[i]
-
-    def __setitem__(self, i, item):
-        self.data[i] = item
-
-    def __delitem__(self, i):
-        del self.data[i]
-
+    def __setitem__(self, i, item): self.data[i] = item
+    def __delitem__(self, i): del self.data[i]
     def __add__(self, other):
         if isinstance(other, UserList):
             return self.__class__(self.data + other.data)
         elif isinstance(other, type(self.data)):
             return self.__class__(self.data + other)
         return self.__class__(self.data + list(other))
-
     def __radd__(self, other):
         if isinstance(other, UserList):
             return self.__class__(other.data + self.data)
         elif isinstance(other, type(self.data)):
             return self.__class__(other + self.data)
         return self.__class__(list(other) + self.data)
-
     def __iadd__(self, other):
         if isinstance(other, UserList):
             self.data += other.data
@@ -1295,53 +1194,28 @@ 
    Source code for collections
             else:
             self.data += list(other)
         return self
-
     def __mul__(self, n):
-        return self.__class__(self.data * n)
-
+        return self.__class__(self.data*n)
     __rmul__ = __mul__
-
     def __imul__(self, n):
         self.data *= n
         return self
-
     def __copy__(self):
         inst = self.__class__.__new__(self.__class__)
         inst.__dict__.update(self.__dict__)
         # Create a copy and avoid triggering descriptors
         inst.__dict__["data"] = self.__dict__["data"][:]
         return inst
-
-    def append(self, item):
-        self.data.append(item)
-
-    def insert(self, i, item):
-        self.data.insert(i, item)
-
-    def pop(self, i=-1):
-        return self.data.pop(i)
-
-    def remove(self, item):
-        self.data.remove(item)
-
-    def clear(self):
-        self.data.clear()
-
-    def copy(self):
-        return self.__class__(self)
-
-    def count(self, item):
-        return self.data.count(item)
-
-    def index(self, item, *args):
-        return self.data.index(item, *args)
-
-    def reverse(self):
-        self.data.reverse()
-
-    def sort(self, /, *args, **kwds):
-        self.data.sort(*args, **kwds)
-
+    def append(self, item): self.data.append(item)
+    def insert(self, i, item): self.data.insert(i, item)
+    def pop(self, i=-1): return self.data.pop(i)
+    def remove(self, item): self.data.remove(item)
+    def clear(self): self.data.clear()
+    def copy(self): return self.__class__(self)
+    def count(self, item): return self.data.count(item)
+    def index(self, item, *args): return self.data.index(item, *args)
+    def reverse(self): self.data.reverse()
+    def sort(self, /, *args, **kwds): self.data.sort(*args, **kwds)
     def extend(self, other):
         if isinstance(other, UserList):
             self.data.extend(other.data)
@@ -1349,12 +1223,12 @@ 
    Source code for collections
                 self.data.extend(other)
 
 
+
 ################################################################################
 ### UserString
 ################################################################################
 
 class UserString(_collections_abc.Sequence):
-
     def __init__(self, seq):
         if isinstance(seq, str):
             self.data = seq
@@ -1362,25 +1236,12 @@ 
    Source code for collections
                 self.data = seq.data[:]
         else:
             self.data = str(seq)
-
-    def __str__(self):
-        return str(self.data)
-
-    def __repr__(self):
-        return repr(self.data)
-
-    def __int__(self):
-        return int(self.data)
-
-    def __float__(self):
-        return float(self.data)
-
-    def __complex__(self):
-        return complex(self.data)
-
-    def __hash__(self):
-        return hash(self.data)
-
+    def __str__(self): return str(self.data)
+    def __repr__(self): return repr(self.data)
+    def __int__(self): return int(self.data)
+    def __float__(self): return float(self.data)
+    def __complex__(self): return complex(self.data)
+    def __hash__(self): return hash(self.data)
     def __getnewargs__(self):
         return (self.data[:],)
 
@@ -1388,22 +1249,18 @@ 
    Source code for collections
             if isinstance(string, UserString):
             return self.data == string.data
         return self.data == string
-
     def __lt__(self, string):
         if isinstance(string, UserString):
             return self.data < string.data
         return self.data < string
-
     def __le__(self, string):
         if isinstance(string, UserString):
             return self.data <= string.data
         return self.data <= string
-
     def __gt__(self, string):
         if isinstance(string, UserString):
             return self.data > string.data
         return self.data > string
-
     def __ge__(self, string):
         if isinstance(string, UserString):
             return self.data >= string.data
@@ -1414,191 +1271,105 @@ 
    Source code for collections
                 char = char.data
         return char in self.data
 
-    def __len__(self):
-        return len(self.data)
-
-    def __getitem__(self, index):
-        return self.__class__(self.data[index])
-
+    def __len__(self): return len(self.data)
+    def __getitem__(self, index): return self.__class__(self.data[index])
     def __add__(self, other):
         if isinstance(other, UserString):
             return self.__class__(self.data + other.data)
         elif isinstance(other, str):
             return self.__class__(self.data + other)
         return self.__class__(self.data + str(other))
-
     def __radd__(self, other):
         if isinstance(other, str):
             return self.__class__(other + self.data)
         return self.__class__(str(other) + self.data)
-
     def __mul__(self, n):
-        return self.__class__(self.data * n)
-
+        return self.__class__(self.data*n)
     __rmul__ = __mul__
-
     def __mod__(self, args):
         return self.__class__(self.data % args)
-
     def __rmod__(self, template):
         return self.__class__(str(template) % self)
-
     # the following methods are defined in alphabetical order:
-    def capitalize(self):
-        return self.__class__(self.data.capitalize())
-
+    def capitalize(self): return self.__class__(self.data.capitalize())
     def casefold(self):
         return self.__class__(self.data.casefold())
-
     def center(self, width, *args):
         return self.__class__(self.data.center(width, *args))
-
     def count(self, sub, start=0, end=_sys.maxsize):
         if isinstance(sub, UserString):
             sub = sub.data
         return self.data.count(sub, start, end)
-
-    def removeprefix(self, prefix, /):
-        if isinstance(prefix, UserString):
-            prefix = prefix.data
-        return self.__class__(self.data.removeprefix(prefix))
-
-    def removesuffix(self, suffix, /):
-        if isinstance(suffix, UserString):
-            suffix = suffix.data
-        return self.__class__(self.data.removesuffix(suffix))
-
     def encode(self, encoding='utf-8', errors='strict'):
         encoding = 'utf-8' if encoding is None else encoding
         errors = 'strict' if errors is None else errors
         return self.data.encode(encoding, errors)
-
     def endswith(self, suffix, start=0, end=_sys.maxsize):
         return self.data.endswith(suffix, start, end)
-
     def expandtabs(self, tabsize=8):
         return self.__class__(self.data.expandtabs(tabsize))
-
     def find(self, sub, start=0, end=_sys.maxsize):
         if isinstance(sub, UserString):
             sub = sub.data
         return self.data.find(sub, start, end)
-
     def format(self, /, *args, **kwds):
         return self.data.format(*args, **kwds)
-
     def format_map(self, mapping):
         return self.data.format_map(mapping)
-
     def index(self, sub, start=0, end=_sys.maxsize):
         return self.data.index(sub, start, end)
-
-    def isalpha(self):
-        return self.data.isalpha()
-
-    def isalnum(self):
-        return self.data.isalnum()
-
-    def isascii(self):
-        return self.data.isascii()
-
-    def isdecimal(self):
-        return self.data.isdecimal()
-
-    def isdigit(self):
-        return self.data.isdigit()
-
-    def isidentifier(self):
-        return self.data.isidentifier()
-
-    def islower(self):
-        return self.data.islower()
-
-    def isnumeric(self):
-        return self.data.isnumeric()
-
-    def isprintable(self):
-        return self.data.isprintable()
-
-    def isspace(self):
-        return self.data.isspace()
-
-    def istitle(self):
-        return self.data.istitle()
-
-    def isupper(self):
-        return self.data.isupper()
-
-    def join(self, seq):
-        return self.data.join(seq)
-
+    def isalpha(self): return self.data.isalpha()
+    def isalnum(self): return self.data.isalnum()
+    def isascii(self): return self.data.isascii()
+    def isdecimal(self): return self.data.isdecimal()
+    def isdigit(self): return self.data.isdigit()
+    def isidentifier(self): return self.data.isidentifier()
+    def islower(self): return self.data.islower()
+    def isnumeric(self): return self.data.isnumeric()
+    def isprintable(self): return self.data.isprintable()
+    def isspace(self): return self.data.isspace()
+    def istitle(self): return self.data.istitle()
+    def isupper(self): return self.data.isupper()
+    def join(self, seq): return self.data.join(seq)
     def ljust(self, width, *args):
         return self.__class__(self.data.ljust(width, *args))
-
-    def lower(self):
-        return self.__class__(self.data.lower())
-
-    def lstrip(self, chars=None):
-        return self.__class__(self.data.lstrip(chars))
-
+    def lower(self): return self.__class__(self.data.lower())
+    def lstrip(self, chars=None): return self.__class__(self.data.lstrip(chars))
     maketrans = str.maketrans
-
     def partition(self, sep):
         return self.data.partition(sep)
-
     def replace(self, old, new, maxsplit=-1):
         if isinstance(old, UserString):
             old = old.data
         if isinstance(new, UserString):
             new = new.data
         return self.__class__(self.data.replace(old, new, maxsplit))
-
     def rfind(self, sub, start=0, end=_sys.maxsize):
         if isinstance(sub, UserString):
             sub = sub.data
         return self.data.rfind(sub, start, end)
-
     def rindex(self, sub, start=0, end=_sys.maxsize):
         return self.data.rindex(sub, start, end)
-
     def rjust(self, width, *args):
         return self.__class__(self.data.rjust(width, *args))
-
     def rpartition(self, sep):
         return self.data.rpartition(sep)
-
     def rstrip(self, chars=None):
         return self.__class__(self.data.rstrip(chars))
-
     def split(self, sep=None, maxsplit=-1):
         return self.data.split(sep, maxsplit)
-
     def rsplit(self, sep=None, maxsplit=-1):
         return self.data.rsplit(sep, maxsplit)
-
-    def splitlines(self, keepends=False):
-        return self.data.splitlines(keepends)
-
+    def splitlines(self, keepends=False): return self.data.splitlines(keepends)
     def startswith(self, prefix, start=0, end=_sys.maxsize):
         return self.data.startswith(prefix, start, end)
-
-    def strip(self, chars=None):
-        return self.__class__(self.data.strip(chars))
-
-    def swapcase(self):
-        return self.__class__(self.data.swapcase())
-
-    def title(self):
-        return self.__class__(self.data.title())
-
+    def strip(self, chars=None): return self.__class__(self.data.strip(chars))
+    def swapcase(self): return self.__class__(self.data.swapcase())
+    def title(self): return self.__class__(self.data.title())
     def translate(self, *args):
         return self.__class__(self.data.translate(*args))
-
-    def upper(self):
-        return self.__class__(self.data.upper())
-
-    def zfill(self, width):
-        return self.__class__(self.data.zfill(width))
+    def upper(self): return self.__class__(self.data.upper())
+    def zfill(self, width): return self.__class__(self.data.zfill(width))
 
    
 
           
    
@@ -1618,7 +1389,7 @@ 
    Source code for collections
           ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/index.html b/docs/build/html/_modules/index.html
index bf0e1e5c..d1f4d7cf 100644
--- a/docs/build/html/_modules/index.html
+++ b/docs/build/html/_modules/index.html
@@ -128,7 +128,7 @@ 
    All modules for which code is available
    
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.4.0
+      Powered by     Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/plotly/offline/offline.html b/docs/build/html/_modules/plotly/offline/offline.html
index 3a9247a1..f45be670 100644
--- a/docs/build/html/_modules/plotly/offline/offline.html
+++ b/docs/build/html/_modules/plotly/offline/offline.html
@@ -950,7 +950,7 @@ 
    Source code for plotly.offline.offline
           ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/scipy/spatial/kdtree.html b/docs/build/html/_modules/scipy/spatial/kdtree.html
index 6992b244..e4fe7acf 100644
--- a/docs/build/html/_modules/scipy/spatial/kdtree.html
+++ b/docs/build/html/_modules/scipy/spatial/kdtree.html
@@ -94,8 +94,8 @@ 
    Source code for scipy.spatial.kdtree
     # Copyright Anne M. Archibald 2008
 # Released under the scipy license
 import numpy as np
-import warnings
-from .ckdtree import cKDTree, cKDTreeNode
+from heapq import heappush, heappop
+import scipy.sparse
 
 __all__ = ['minkowski_distance_p', 'minkowski_distance',
            'distance_matrix',
@@ -103,7 +103,8 @@ 
    Source code for scipy.spatial.kdtree
     
 
 def minkowski_distance_p(x, y, p=2):
-    """Compute the pth power of the L**p distance between two arrays.
+    """
+    Compute the pth power of the L**p distance between two arrays.
 
     For efficiency, this function computes the L**p distance but does
     not extract the pth root. If `p` is 1 or infinity, this is equal to
@@ -145,7 +146,8 @@ 
    Source code for scipy.spatial.kdtree
     
 
 def minkowski_distance(x, y, p=2):
-    """Compute the L**p distance between two arrays.
+    """
+    Compute the L**p distance between two arrays.
 
     Parameters
     ----------
@@ -171,7 +173,7 @@ 
    Source code for scipy.spatial.kdtree
             return minkowski_distance_p(x, y, p)**(1./p)
 
 
-class Rectangle:
+class Rectangle(object):
     """Hyperrectangle class.
 
     Represents a Cartesian product of intervals.
@@ -190,7 +192,8 @@ 
    Source code for scipy.spatial.kdtree
             return np.prod(self.maxes-self.mins)
 
     def split(self, d, split):
-        """Produce two hyperrectangles by splitting.
+        """
+        Produce two hyperrectangles by splitting.
 
         In general, if you need to compute maximum and minimum
         distances to the children, it can be done more efficiently
@@ -214,8 +217,7 @@ 
    Source code for scipy.spatial.kdtree
     
     def min_distance_point(self, x, p=2.):
         """
-        Return the minimum distance between input and points in the
-        hyperrectangle.
+        Return the minimum distance between input and points in the hyperrectangle.
 
         Parameters
         ----------
@@ -225,10 +227,7 @@ 
    Source code for scipy.spatial.kdtree
                 Input.
 
         """
-        return minkowski_distance(
-            0, np.maximum(0, np.maximum(self.mins-x, x-self.maxes)),
-            p
-        )
+        return minkowski_distance(0, np.maximum(0,np.maximum(self.mins-x,x-self.maxes)),p)
 
     def max_distance_point(self, x, p=2.):
         """
@@ -242,7 +241,7 @@ 
    Source code for scipy.spatial.kdtree
                 Input.
 
         """
-        return minkowski_distance(0, np.maximum(self.maxes-x, x-self.mins), p)
+        return minkowski_distance(0, np.maximum(self.maxes-x,x-self.mins),p)
 
     def min_distance_rectangle(self, other, p=2.):
         """
@@ -256,12 +255,7 @@ 
    Source code for scipy.spatial.kdtree
                 Input.
 
         """
-        return minkowski_distance(
-            0,
-            np.maximum(0, np.maximum(self.mins-other.maxes,
-                                     other.mins-self.maxes)),
-            p
-        )
+        return minkowski_distance(0, np.maximum(0,np.maximum(self.mins-other.maxes,other.mins-self.maxes)),p)
 
     def max_distance_rectangle(self, other, p=2.):
         """
@@ -275,46 +269,38 @@ 
    Source code for scipy.spatial.kdtree
                 Input.
 
         """
-        return minkowski_distance(
-            0, np.maximum(self.maxes-other.mins, other.maxes-self.mins), p)
+        return minkowski_distance(0, np.maximum(self.maxes-other.mins,other.maxes-self.mins),p)
 
 
-
    [docs]class KDTree(cKDTree):
-    """kd-tree for quick nearest-neighbor lookup.
+
    [docs]class KDTree(object):
+    """
+    kd-tree for quick nearest-neighbor lookup
 
-    This class provides an index into a set of k-dimensional points
-    which can be used to rapidly look up the nearest neighbors of any
-    point.
+    This class provides an index into a set of k-D points which
+    can be used to rapidly look up the nearest neighbors of any point.
 
     Parameters
     ----------
-    data : array_like, shape (n,m)
-        The n data points of dimension m to be indexed. This array is
-        not copied unless this is necessary to produce a contiguous
-        array of doubles, and so modifying this data will result in
-        bogus results. The data are also copied if the kd-tree is built
-        with copy_data=True.
-    leafsize : positive int, optional
+    data : (N,K) array_like
+        The data points to be indexed. This array is not copied, and
+        so modifying this data will result in bogus results.
+    leafsize : int, optional
         The number of points at which the algorithm switches over to
-        brute-force.  Default: 10.
-    compact_nodes : bool, optional
-        If True, the kd-tree is built to shrink the hyperrectangles to
-        the actual data range. This usually gives a more compact tree that
-        is robust against degenerated input data and gives faster queries
-        at the expense of longer build time. Default: True.
-    copy_data : bool, optional
-        If True the data is always copied to protect the kd-tree against
-        data corruption. Default: False.
-    balanced_tree : bool, optional
-        If True, the median is used to split the hyperrectangles instead of
-        the midpoint. This usually gives a more compact tree and
-        faster queries at the expense of longer build time. Default: True.
-    boxsize : array_like or scalar, optional
-        Apply a m-d toroidal topology to the KDTree.. The topology is generated
-        by :math:`x_i + n_i L_i` where :math:`n_i` are integers and :math:`L_i`
-        is the boxsize along i-th dimension. The input data shall be wrapped
-        into :math:`[0, L_i)`. A ValueError is raised if any of the data is
-        outside of this bound.
+        brute-force.  Has to be positive.
+
+    Raises
+    ------
+    RuntimeError
+        The maximum recursion limit can be exceeded for large data
+        sets.  If this happens, either increase the value for the `leafsize`
+        parameter or increase the recursion limit by::
+
+            >>> import sys
+            >>> sys.setrecursionlimit(10000)
+
+    See Also
+    --------
+    cKDTree : Implementation of `KDTree` in Cython
 
     Notes
     -----
@@ -337,45 +323,27 @@ 
    Source code for scipy.spatial.kdtree
         significantly faster than brute force. High-dimensional nearest-neighbor
     queries are a substantial open problem in computer science.
 
-    Attributes
-    ----------
-    data : ndarray, shape (n,m)
-        The n data points of dimension m to be indexed. This array is
-        not copied unless this is necessary to produce a contiguous
-        array of doubles. The data are also copied if the kd-tree is built
-        with `copy_data=True`.
-    leafsize : positive int
-        The number of points at which the algorithm switches over to
-        brute-force.
-    m : int
-        The dimension of a single data-point.
-    n : int
-        The number of data points.
-    maxes : ndarray, shape (m,)
-        The maximum value in each dimension of the n data points.
-    mins : ndarray, shape (m,)
-        The minimum value in each dimension of the n data points.
-    size : int
-        The number of nodes in the tree.
+    The tree also supports all-neighbors queries, both with arrays of points
+    and with other kd-trees. These do use a reasonably efficient algorithm,
+    but the kd-tree is not necessarily the best data structure for this
+    sort of calculation.
 
     """
+    def __init__(self, data, leafsize=10):
+        self.data = np.asarray(data)
+        if self.data.dtype.kind == 'c':
+            raise TypeError("KDTree does not work with complex data")
 
-
    [docs]    class node:
-        @staticmethod
-        def _create(ckdtree_node=None):
-            """Create either an inner or leaf node, wrapping a cKDTreeNode instance"""
-            if ckdtree_node is None:
-                return KDTree.node(ckdtree_node)
-            elif ckdtree_node.split_dim == -1:
-                return KDTree.leafnode(ckdtree_node)
-            else:
-                return KDTree.innernode(ckdtree_node)
+        self.n, self.m = np.shape(self.data)
+        self.leafsize = int(leafsize)
+        if self.leafsize < 1:
+            raise ValueError("leafsize must be at least 1")
+        self.maxes = np.amax(self.data,axis=0)
+        self.mins = np.amin(self.data,axis=0)
 
-        def __init__(self, ckdtree_node=None):
-            if ckdtree_node is None:
-                ckdtree_node = cKDTreeNode()
-            self._node = ckdtree_node
+        self.tree = self.__build(np.arange(self.n), self.maxes, self.mins)
 
+
    [docs]    class node(object):
         def __lt__(self, other):
             return id(self) < id(other)
 
@@ -392,227 +360,327 @@ 
    Source code for scipy.spatial.kdtree
                 return id(self) == id(other)
    
 
 
    [docs]    class leafnode(node):
-        @property
-        def idx(self):
-            return self._node.indices
-
-        @property
-        def children(self):
-            return self._node.children
    
+        def __init__(self, idx):
+            self.idx = idx
+            self.children = len(idx)
    
 
 
    [docs]    class innernode(node):
-        def __init__(self, ckdtreenode):
-            assert isinstance(ckdtreenode, cKDTreeNode)
-            super().__init__(ckdtreenode)
-            self.less = KDTree.node._create(ckdtreenode.lesser)
-            self.greater = KDTree.node._create(ckdtreenode.greater)
-
-        @property
-        def split_dim(self):
-            return self._node.split_dim
-
-        @property
-        def split(self):
-            return self._node.split
-
-        @property
-        def children(self):
-            return self._node.children
    
-
-    @property
-    def tree(self):
-        if not hasattr(self, "_tree"):
-            self._tree = KDTree.node._create(super().tree)
-
-        return self._tree
-
-    def __init__(self, data, leafsize=10, compact_nodes=True, copy_data=False,
-                 balanced_tree=True, boxsize=None):
-        data = np.asarray(data)
-        if data.dtype.kind == 'c':
-            raise TypeError("KDTree does not work with complex data")
-
-        # Note KDTree has different default leafsize from cKDTree
-        super().__init__(data, leafsize, compact_nodes, copy_data,
-                         balanced_tree, boxsize)
+        def __init__(self, split_dim, split, less, greater):
+            self.split_dim = split_dim
+            self.split = split
+            self.less = less
+            self.greater = greater
+            self.children = less.children+greater.children
    
+
+    def __build(self, idx, maxes, mins):
+        if len(idx) <= self.leafsize:
+            return KDTree.leafnode(idx)
+        else:
+            data = self.data[idx]
+            # maxes = np.amax(data,axis=0)
+            # mins = np.amin(data,axis=0)
+            d = np.argmax(maxes-mins)
+            maxval = maxes[d]
+            minval = mins[d]
+            if maxval == minval:
+                # all points are identical; warn user?
+                return KDTree.leafnode(idx)
+            data = data[:,d]
+
+            # sliding midpoint rule; see Maneewongvatana and Mount 1999
+            # for arguments that this is a good idea.
+            split = (maxval+minval)/2
+            less_idx = np.nonzero(data <= split)[0]
+            greater_idx = np.nonzero(data > split)[0]
+            if len(less_idx) == 0:
+                split = np.amin(data)
+                less_idx = np.nonzero(data <= split)[0]
+                greater_idx = np.nonzero(data > split)[0]
+            if len(greater_idx) == 0:
+                split = np.amax(data)
+                less_idx = np.nonzero(data < split)[0]
+                greater_idx = np.nonzero(data >= split)[0]
+            if len(less_idx) == 0:
+                # _still_ zero? all must have the same value
+                if not np.all(data == data[0]):
+                    raise ValueError("Troublesome data array: %s" % data)
+                split = data[0]
+                less_idx = np.arange(len(data)-1)
+                greater_idx = np.array([len(data)-1])
+
+            lessmaxes = np.copy(maxes)
+            lessmaxes[d] = split
+            greatermins = np.copy(mins)
+            greatermins[d] = split
+            return KDTree.innernode(d, split,
+                    self.__build(idx[less_idx],lessmaxes,mins),
+                    self.__build(idx[greater_idx],maxes,greatermins))
+
+    def __query(self, x, k=1, eps=0, p=2, distance_upper_bound=np.inf):
+
+        side_distances = np.maximum(0,np.maximum(x-self.maxes,self.mins-x))
+        if p != np.inf:
+            side_distances **= p
+            min_distance = np.sum(side_distances)
+        else:
+            min_distance = np.amax(side_distances)
+
+        # priority queue for chasing nodes
+        # entries are:
+        #  minimum distance between the cell and the target
+        #  distances between the nearest side of the cell and the target
+        #  the head node of the cell
+        q = [(min_distance,
+              tuple(side_distances),
+              self.tree)]
+        # priority queue for the nearest neighbors
+        # furthest known neighbor first
+        # entries are (-distance**p, i)
+        neighbors = []
+
+        if eps == 0:
+            epsfac = 1
+        elif p == np.inf:
+            epsfac = 1/(1+eps)
+        else:
+            epsfac = 1/(1+eps)**p
+
+        if p != np.inf and distance_upper_bound != np.inf:
+            distance_upper_bound = distance_upper_bound**p
+
+        while q:
+            min_distance, side_distances, node = heappop(q)
+            if isinstance(node, KDTree.leafnode):
+                # brute-force
+                data = self.data[node.idx]
+                ds = minkowski_distance_p(data,x[np.newaxis,:],p)
+                for i in range(len(ds)):
+                    if ds[i] < distance_upper_bound:
+                        if len(neighbors) == k:
+                            heappop(neighbors)
+                        heappush(neighbors, (-ds[i], node.idx[i]))
+                        if len(neighbors) == k:
+                            distance_upper_bound = -neighbors[0][0]
+            else:
+                # we don't push cells that are too far onto the queue at all,
+                # but since the distance_upper_bound decreases, we might get
+                # here even if the cell's too far
+                if min_distance > distance_upper_bound*epsfac:
+                    # since this is the nearest cell, we're done, bail out
+                    break
+                # compute minimum distances to the children and push them on
+                if x[node.split_dim] < node.split:
+                    near, far = node.less, node.greater
+                else:
+                    near, far = node.greater, node.less
+
+                # near child is at the same distance as the current node
+                heappush(q,(min_distance, side_distances, near))
+
+                # far child is further by an amount depending only
+                # on the split value
+                sd = list(side_distances)
+                if p == np.inf:
+                    min_distance = max(min_distance, abs(node.split-x[node.split_dim]))
+                elif p == 1:
+                    sd[node.split_dim] = np.abs(node.split-x[node.split_dim])
+                    min_distance = min_distance - side_distances[node.split_dim] + sd[node.split_dim]
+                else:
+                    sd[node.split_dim] = np.abs(node.split-x[node.split_dim])**p
+                    min_distance = min_distance - side_distances[node.split_dim] + sd[node.split_dim]
+
+                # far child might be too far, if so, don't bother pushing it
+                if min_distance <= distance_upper_bound*epsfac:
+                    heappush(q,(min_distance, tuple(sd), far))
+
+        if p == np.inf:
+            return sorted([(-d,i) for (d,i) in neighbors])
+        else:
+            return sorted([((-d)**(1./p),i) for (d,i) in neighbors])
 
-
    [docs]    def query(
-            self, x, k=1, eps=0, p=2, distance_upper_bound=np.inf, workers=1):
-        r"""Query the kd-tree for nearest neighbors.
+
    [docs]    def query(self, x, k=1, eps=0, p=2, distance_upper_bound=np.inf):
+        """
+        Query the kd-tree for nearest neighbors
 
         Parameters
         ----------
         x : array_like, last dimension self.m
             An array of points to query.
-        k : int or Sequence[int], optional
-            Either the number of nearest neighbors to return, or a list of the
-            k-th nearest neighbors to return, starting from 1.
+        k : int, optional
+            The number of nearest neighbors to return.
         eps : nonnegative float, optional
             Return approximate nearest neighbors; the kth returned value
             is guaranteed to be no further than (1+eps) times the
             distance to the real kth nearest neighbor.
         p : float, 1<=p<=infinity, optional
             Which Minkowski p-norm to use.
-            1 is the sum-of-absolute-values distance ("Manhattan" distance).
-            2 is the usual Euclidean distance.
-            infinity is the maximum-coordinate-difference distance.
-            A large, finite p may cause a ValueError if overflow can occur.
+            1 is the sum-of-absolute-values "Manhattan" distance
+            2 is the usual Euclidean distance
+            infinity is the maximum-coordinate-difference distance
         distance_upper_bound : nonnegative float, optional
             Return only neighbors within this distance. This is used to prune
             tree searches, so if you are doing a series of nearest-neighbor
             queries, it may help to supply the distance to the nearest neighbor
             of the most recent point.
-        workers : int, optional
-            Number of workers to use for parallel processing. If -1 is given
-            all CPU threads are used. Default: 1.
-
-            .. versionadded:: 1.6.0
 
         Returns
         -------
         d : float or array of floats
             The distances to the nearest neighbors.
-            If ``x`` has shape ``tuple+(self.m,)``, then ``d`` has shape
-            ``tuple+(k,)``.
-            When k == 1, the last dimension of the output is squeezed.
-            Missing neighbors are indicated with infinite distances.
-            Hits are sorted by distance (nearest first).
-
-            .. deprecated:: 1.6.0
-               If ``k=None``, then ``d`` is an object array of shape ``tuple``,
-               containing lists of distances. This behavior is deprecated and
-               will be removed in SciPy 1.8.0, use ``query_ball_point``
-               instead.
-
+            If x has shape tuple+(self.m,), then d has shape tuple if
+            k is one, or tuple+(k,) if k is larger than one. Missing
+            neighbors (e.g. when k > n or distance_upper_bound is
+            given) are indicated with infinite distances.  If k is None,
+            then d is an object array of shape tuple, containing lists
+            of distances. In either case the hits are sorted by distance
+            (nearest first).
         i : integer or array of integers
-            The index of each neighbor in ``self.data``.
-            ``i`` is the same shape as d.
-            Missing neighbors are indicated with ``self.n``.
+            The locations of the neighbors in self.data. i is the same
+            shape as d.
 
         Examples
         --------
-
-        >>> import numpy as np
-        >>> from scipy.spatial import KDTree
+        >>> from scipy import spatial
         >>> x, y = np.mgrid[0:5, 2:8]
-        >>> tree = KDTree(np.c_[x.ravel(), y.ravel()])
-
-        To query the nearest neighbours and return squeezed result, use
-
-        >>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=1)
-        >>> print(dd, ii, sep='\n')
-        [2.         0.2236068]
-        [ 0 13]
-
-        To query the nearest neighbours and return unsqueezed result, use
-
-        >>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=[1])
-        >>> print(dd, ii, sep='\n')
-        [[2.        ]
-         [0.2236068]]
-        [[ 0]
-         [13]]
-
-        To query the second nearest neighbours and return unsqueezed result,
-        use
-
-        >>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=[2])
-        >>> print(dd, ii, sep='\n')
-        [[2.23606798]
-         [0.80622577]]
-        [[ 6]
-         [19]]
-
-        To query the first and second nearest neighbours, use
-
-        >>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=2)
-        >>> print(dd, ii, sep='\n')
-        [[2.         2.23606798]
-         [0.2236068  0.80622577]]
-        [[ 0  6]
-         [13 19]]
-
-        or, be more specific
-
-        >>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=[1, 2])
-        >>> print(dd, ii, sep='\n')
-        [[2.         2.23606798]
-         [0.2236068  0.80622577]]
-        [[ 0  6]
-         [13 19]]
+        >>> tree = spatial.KDTree(list(zip(x.ravel(), y.ravel())))
+        >>> tree.data
+        array([[0, 2],
+               [0, 3],
+               [0, 4],
+               [0, 5],
+               [0, 6],
+               [0, 7],
+               [1, 2],
+               [1, 3],
+               [1, 4],
+               [1, 5],
+               [1, 6],
+               [1, 7],
+               [2, 2],
+               [2, 3],
+               [2, 4],
+               [2, 5],
+               [2, 6],
+               [2, 7],
+               [3, 2],
+               [3, 3],
+               [3, 4],
+               [3, 5],
+               [3, 6],
+               [3, 7],
+               [4, 2],
+               [4, 3],
+               [4, 4],
+               [4, 5],
+               [4, 6],
+               [4, 7]])
+        >>> pts = np.array([[0, 0], [2.1, 2.9]])
+        >>> tree.query(pts)
+        (array([ 2.        ,  0.14142136]), array([ 0, 13]))
+        >>> tree.query(pts[0])
+        (2.0, 0)
 
         """
         x = np.asarray(x)
         if x.dtype.kind == 'c':
             raise TypeError("KDTree does not work with complex data")
+        if np.shape(x)[-1] != self.m:
+            raise ValueError("x must consist of vectors of length %d but has shape %s" % (self.m, np.shape(x)))
+        if p < 1:
+            raise ValueError("Only p-norms with 1<=p<=infinity permitted")
+        retshape = np.shape(x)[:-1]
+        if retshape != ():
+            if k is None:
+                dd = np.empty(retshape,dtype=object)
+                ii = np.empty(retshape,dtype=object)
+            elif k > 1:
+                dd = np.empty(retshape+(k,),dtype=float)
+                dd.fill(np.inf)
+                ii = np.empty(retshape+(k,),dtype=int)
+                ii.fill(self.n)
+            elif k == 1:
+                dd = np.empty(retshape,dtype=float)
+                dd.fill(np.inf)
+                ii = np.empty(retshape,dtype=int)
+                ii.fill(self.n)
+            else:
+                raise ValueError("Requested %s nearest neighbors; acceptable numbers are integers greater than or equal to one, or None")
+            for c in np.ndindex(retshape):
+                hits = self.__query(x[c], k=k, eps=eps, p=p, distance_upper_bound=distance_upper_bound)
+                if k is None:
+                    dd[c] = [d for (d,i) in hits]
+                    ii[c] = [i for (d,i) in hits]
+                elif k > 1:
+                    for j in range(len(hits)):
+                        dd[c+(j,)], ii[c+(j,)] = hits[j]
+                elif k == 1:
+                    if len(hits) > 0:
+                        dd[c], ii[c] = hits[0]
+                    else:
+                        dd[c] = np.inf
+                        ii[c] = self.n
+            return dd, ii
+        else:
+            hits = self.__query(x, k=k, eps=eps, p=p, distance_upper_bound=distance_upper_bound)
+            if k is None:
+                return [d for (d,i) in hits], [i for (d,i) in hits]
+            elif k == 1:
+                if len(hits) > 0:
+                    return hits[0]
+                else:
+                    return np.inf, self.n
+            elif k > 1:
+                dd = np.empty(k,dtype=float)
+                dd.fill(np.inf)
+                ii = np.empty(k,dtype=int)
+                ii.fill(self.n)
+                for j in range(len(hits)):
+                    dd[j], ii[j] = hits[j]
+                return dd, ii
+            else:
+                raise ValueError("Requested %s nearest neighbors; acceptable numbers are integers greater than or equal to one, or None")
    
+
+    def __query_ball_point(self, x, r, p=2., eps=0):
+        R = Rectangle(self.maxes, self.mins)
+
+        def traverse_checking(node, rect):
+            if rect.min_distance_point(x, p) > r / (1. + eps):
+                return []
+            elif rect.max_distance_point(x, p) < r * (1. + eps):
+                return traverse_no_checking(node)
+            elif isinstance(node, KDTree.leafnode):
+                d = self.data[node.idx]
+                return node.idx[minkowski_distance(d, x, p) <= r].tolist()
+            else:
+                less, greater = rect.split(node.split_dim, node.split)
+                return traverse_checking(node.less, less) + \
+                       traverse_checking(node.greater, greater)
 
-        if k is None:
-            # k=None, return all neighbors
-            warnings.warn(
-                "KDTree.query with k=None is deprecated and will be removed "
-                "in SciPy 1.8.0. Use KDTree.query_ball_point instead.",
-                DeprecationWarning)
-
-            # Convert index query to a lists of distance and index,
-            # sorted by distance
-            def inds_to_hits(point, neighbors):
-                dist = minkowski_distance(point, self.data[neighbors], p)
-                hits = sorted([(d, i) for d, i in zip(dist, neighbors)])
-                return [d for d, i in hits], [i for d, i in hits]
-
-            x = np.asarray(x, dtype=np.float64)
-            inds = super().query_ball_point(
-                x, distance_upper_bound, p, eps, workers)
-
-            if isinstance(inds, list):
-                return inds_to_hits(x, inds)
-
-            dists = np.empty_like(inds)
-            for idx in np.ndindex(inds.shape):
-                dists[idx], inds[idx] = inds_to_hits(x[idx], inds[idx])
-
-            return dists, inds
+        def traverse_no_checking(node):
+            if isinstance(node, KDTree.leafnode):
+                return node.idx.tolist()
+            else:
+                return traverse_no_checking(node.less) + \
+                       traverse_no_checking(node.greater)
 
-        d, i = super().query(x, k, eps, p, distance_upper_bound, workers)
-        if isinstance(i, int):
-            i = np.intp(i)
-        return d, i
    
+        return traverse_checking(self.tree, R)
 
-
    [docs]    def query_ball_point(self, x, r, p=2., eps=0, workers=1,
-                         return_sorted=None, return_length=False):
+
    [docs]    def query_ball_point(self, x, r, p=2., eps=0):
         """Find all points within distance r of point(s) x.
 
         Parameters
         ----------
         x : array_like, shape tuple + (self.m,)
             The point or points to search for neighbors of.
-        r : array_like, float
-            The radius of points to return, must broadcast to the length of x.
+        r : positive float
+            The radius of points to return.
         p : float, optional
             Which Minkowski p-norm to use.  Should be in the range [1, inf].
-            A finite large p may cause a ValueError if overflow can occur.
         eps : nonnegative float, optional
             Approximate search. Branches of the tree are not explored if their
             nearest points are further than ``r / (1 + eps)``, and branches are
             added in bulk if their furthest points are nearer than
             ``r * (1 + eps)``.
-        workers : int, optional
-            Number of jobs to schedule for parallel processing. If -1 is given
-            all processors are used. Default: 1.
-
-            .. versionadded:: 1.6.0
-        return_sorted : bool, optional
-            Sorts returned indicies if True and does not sort them if False. If
-            None, does not sort single point queries, but does sort
-            multi-point queries which was the behavior before this option
-            was added.
-
-            .. versionadded:: 1.6.0
-        return_length: bool, optional
-            Return the number of points inside the radius instead of a list
-            of the indices.
-
-            .. versionadded:: 1.6.0
 
         Returns
         -------
@@ -633,7 +701,7 @@ 
    Source code for scipy.spatial.kdtree
             >>> x, y = np.mgrid[0:5, 0:5]
         >>> points = np.c_[x.ravel(), y.ravel()]
         >>> tree = spatial.KDTree(points)
-        >>> sorted(tree.query_ball_point([2, 0], 1))
+        >>> tree.query_ball_point([2, 0], 1)
         [5, 10, 11, 15]
 
         Query multiple points and plot the results:
@@ -651,13 +719,20 @@ 
    Source code for scipy.spatial.kdtree
             x = np.asarray(x)
         if x.dtype.kind == 'c':
             raise TypeError("KDTree does not work with complex data")
-        return super().query_ball_point(
-            x, r, p, eps, workers, return_sorted, return_length)
    
+        if x.shape[-1] != self.m:
+            raise ValueError("Searching for a %d-dimensional point in a "
+                             "%d-dimensional KDTree" % (x.shape[-1], self.m))
+        if len(x.shape) == 1:
+            return self.__query_ball_point(x, r, p, eps)
+        else:
+            retshape = x.shape[:-1]
+            result = np.empty(retshape, dtype=object)
+            for c in np.ndindex(retshape):
+                result[c] = self.__query_ball_point(x[c], r, p=p, eps=eps)
+            return result
    
 
 
    [docs]    def query_ball_tree(self, other, r, p=2., eps=0):
-        """
-        Find all pairs of points between `self` and `other` whose distance is
-        at most r.
+        """Find all pairs of points whose distance is at most r
 
         Parameters
         ----------
@@ -680,33 +755,54 @@ 
    Source code for scipy.spatial.kdtree
                 For each element ``self.data[i]`` of this tree, ``results[i]`` is a
             list of the indices of its neighbors in ``other.data``.
 
-        Examples
-        --------
-        You can search all pairs of points between two kd-trees within a distance:
-
-        >>> import matplotlib.pyplot as plt
-        >>> import numpy as np
-        >>> from scipy.spatial import KDTree
-        >>> rng = np.random.default_rng()
-        >>> points1 = rng.random((15, 2))
-        >>> points2 = rng.random((15, 2))
-        >>> plt.figure(figsize=(6, 6))
-        >>> plt.plot(points1[:, 0], points1[:, 1], "xk", markersize=14)
-        >>> plt.plot(points2[:, 0], points2[:, 1], "og", markersize=14)
-        >>> kd_tree1 = KDTree(points1)
-        >>> kd_tree2 = KDTree(points2)
-        >>> indexes = kd_tree1.query_ball_tree(kd_tree2, r=0.2)
-        >>> for i in range(len(indexes)):
-        ...     for j in indexes[i]:
-        ...         plt.plot([points1[i, 0], points2[j, 0]],
-        ...             [points1[i, 1], points2[j, 1]], "-r")
-        >>> plt.show()
-
         """
-        return super().query_ball_tree(other, r, p, eps)
    
+        results = [[] for i in range(self.n)]
+
+        def traverse_checking(node1, rect1, node2, rect2):
+            if rect1.min_distance_rectangle(rect2, p) > r/(1.+eps):
+                return
+            elif rect1.max_distance_rectangle(rect2, p) < r*(1.+eps):
+                traverse_no_checking(node1, node2)
+            elif isinstance(node1, KDTree.leafnode):
+                if isinstance(node2, KDTree.leafnode):
+                    d = other.data[node2.idx]
+                    for i in node1.idx:
+                        results[i] += node2.idx[minkowski_distance(d,self.data[i],p) <= r].tolist()
+                else:
+                    less, greater = rect2.split(node2.split_dim, node2.split)
+                    traverse_checking(node1,rect1,node2.less,less)
+                    traverse_checking(node1,rect1,node2.greater,greater)
+            elif isinstance(node2, KDTree.leafnode):
+                less, greater = rect1.split(node1.split_dim, node1.split)
+                traverse_checking(node1.less,less,node2,rect2)
+                traverse_checking(node1.greater,greater,node2,rect2)
+            else:
+                less1, greater1 = rect1.split(node1.split_dim, node1.split)
+                less2, greater2 = rect2.split(node2.split_dim, node2.split)
+                traverse_checking(node1.less,less1,node2.less,less2)
+                traverse_checking(node1.less,less1,node2.greater,greater2)
+                traverse_checking(node1.greater,greater1,node2.less,less2)
+                traverse_checking(node1.greater,greater1,node2.greater,greater2)
+
+        def traverse_no_checking(node1, node2):
+            if isinstance(node1, KDTree.leafnode):
+                if isinstance(node2, KDTree.leafnode):
+                    for i in node1.idx:
+                        results[i] += node2.idx.tolist()
+                else:
+                    traverse_no_checking(node1, node2.less)
+                    traverse_no_checking(node1, node2.greater)
+            else:
+                traverse_no_checking(node1.less, node2)
+                traverse_no_checking(node1.greater, node2)
 
-
    [docs]    def query_pairs(self, r, p=2., eps=0, output_type='set'):
-        """Find all pairs of points in `self` whose distance is at most r.
+        traverse_checking(self.tree, Rectangle(self.maxes, self.mins),
+                          other.tree, Rectangle(other.maxes, other.mins))
+        return results
    
+
+
    [docs]    def query_pairs(self, r, p=2., eps=0):
+        """
+        Find all pairs of points within a distance.
 
         Parameters
         ----------
@@ -720,190 +816,177 @@ 
    Source code for scipy.spatial.kdtree
                 if their nearest points are further than ``r/(1+eps)``, and
             branches are added in bulk if their furthest points are nearer
             than ``r * (1+eps)``.  `eps` has to be non-negative.
-        output_type : string, optional
-            Choose the output container, 'set' or 'ndarray'. Default: 'set'
-
-            .. versionadded:: 1.6.0
 
         Returns
         -------
-        results : set or ndarray
+        results : set
             Set of pairs ``(i,j)``, with ``i < j``, for which the corresponding
-            positions are close. If output_type is 'ndarray', an ndarry is
-            returned instead of a set.
-
-        Examples
-        --------
-        You can search all pairs of points in a kd-tree within a distance:
-
-        >>> import matplotlib.pyplot as plt
-        >>> import numpy as np
-        >>> from scipy.spatial import KDTree
-        >>> rng = np.random.default_rng()
-        >>> points = rng.random((20, 2))
-        >>> plt.figure(figsize=(6, 6))
-        >>> plt.plot(points[:, 0], points[:, 1], "xk", markersize=14)
-        >>> kd_tree = KDTree(points)
-        >>> pairs = kd_tree.query_pairs(r=0.2)
-        >>> for (i, j) in pairs:
-        ...     plt.plot([points[i, 0], points[j, 0]],
-        ...             [points[i, 1], points[j, 1]], "-r")
-        >>> plt.show()
+            positions are close.
 
         """
-        return super().query_pairs(r, p, eps, output_type)
    
-
-
    [docs]    def count_neighbors(self, other, r, p=2., weights=None, cumulative=True):
-        """Count how many nearby pairs can be formed.
+        results = set()
+
+        def traverse_checking(node1, rect1, node2, rect2):
+            if rect1.min_distance_rectangle(rect2, p) > r/(1.+eps):
+                return
+            elif rect1.max_distance_rectangle(rect2, p) < r*(1.+eps):
+                traverse_no_checking(node1, node2)
+            elif isinstance(node1, KDTree.leafnode):
+                if isinstance(node2, KDTree.leafnode):
+                    # Special care to avoid duplicate pairs
+                    if id(node1) == id(node2):
+                        d = self.data[node2.idx]
+                        for i in node1.idx:
+                            for j in node2.idx[minkowski_distance(d,self.data[i],p) <= r]:
+                                if i < j:
+                                    results.add((i,j))
+                    else:
+                        d = self.data[node2.idx]
+                        for i in node1.idx:
+                            for j in node2.idx[minkowski_distance(d,self.data[i],p) <= r]:
+                                if i < j:
+                                    results.add((i,j))
+                                elif j < i:
+                                    results.add((j,i))
+                else:
+                    less, greater = rect2.split(node2.split_dim, node2.split)
+                    traverse_checking(node1,rect1,node2.less,less)
+                    traverse_checking(node1,rect1,node2.greater,greater)
+            elif isinstance(node2, KDTree.leafnode):
+                less, greater = rect1.split(node1.split_dim, node1.split)
+                traverse_checking(node1.less,less,node2,rect2)
+                traverse_checking(node1.greater,greater,node2,rect2)
+            else:
+                less1, greater1 = rect1.split(node1.split_dim, node1.split)
+                less2, greater2 = rect2.split(node2.split_dim, node2.split)
+                traverse_checking(node1.less,less1,node2.less,less2)
+                traverse_checking(node1.less,less1,node2.greater,greater2)
+
+                # Avoid traversing (node1.less, node2.greater) and
+                # (node1.greater, node2.less) (it's the same node pair twice
+                # over, which is the source of the complication in the
+                # original KDTree.query_pairs)
+                if id(node1) != id(node2):
+                    traverse_checking(node1.greater,greater1,node2.less,less2)
+
+                traverse_checking(node1.greater,greater1,node2.greater,greater2)
+
+        def traverse_no_checking(node1, node2):
+            if isinstance(node1, KDTree.leafnode):
+                if isinstance(node2, KDTree.leafnode):
+                    # Special care to avoid duplicate pairs
+                    if id(node1) == id(node2):
+                        for i in node1.idx:
+                            for j in node2.idx:
+                                if i < j:
+                                    results.add((i,j))
+                    else:
+                        for i in node1.idx:
+                            for j in node2.idx:
+                                if i < j:
+                                    results.add((i,j))
+                                elif j < i:
+                                    results.add((j,i))
+                else:
+                    traverse_no_checking(node1, node2.less)
+                    traverse_no_checking(node1, node2.greater)
+            else:
+                # Avoid traversing (node1.less, node2.greater) and
+                # (node1.greater, node2.less) (it's the same node pair twice
+                # over, which is the source of the complication in the
+                # original KDTree.query_pairs)
+                if id(node1) == id(node2):
+                    traverse_no_checking(node1.less, node2.less)
+                    traverse_no_checking(node1.less, node2.greater)
+                    traverse_no_checking(node1.greater, node2.greater)
+                else:
+                    traverse_no_checking(node1.less, node2)
+                    traverse_no_checking(node1.greater, node2)
+
+        traverse_checking(self.tree, Rectangle(self.maxes, self.mins),
+                          self.tree, Rectangle(self.maxes, self.mins))
+        return results
    
+
+
    [docs]    def count_neighbors(self, other, r, p=2.):
+        """
+        Count how many nearby pairs can be formed.
 
-        Count the number of pairs ``(x1,x2)`` can be formed, with ``x1`` drawn
-        from ``self`` and ``x2`` drawn from ``other``, and where
+        Count the number of pairs (x1,x2) can be formed, with x1 drawn
+        from self and x2 drawn from ``other``, and where
         ``distance(x1, x2, p) <= r``.
-
-        Data points on ``self`` and ``other`` are optionally weighted by the
-        ``weights`` argument. (See below)
-
-        This is adapted from the "two-point correlation" algorithm described by
-        Gray and Moore [1]_.  See notes for further discussion.
+        This is the "two-point correlation" described in Gray and Moore 2000,
+        "N-body problems in statistical learning", and the code here is based
+        on their algorithm.
 
         Parameters
         ----------
-        other : KDTree
-            The other tree to draw points from, can be the same tree as self.
+        other : KDTree instance
+            The other tree to draw points from.
         r : float or one-dimensional array of floats
             The radius to produce a count for. Multiple radii are searched with
             a single tree traversal.
-            If the count is non-cumulative(``cumulative=False``), ``r`` defines
-            the edges of the bins, and must be non-decreasing.
-        p : float, optional
-            1<=p<=infinity.
-            Which Minkowski p-norm to use.
-            Default 2.0.
-            A finite large p may cause a ValueError if overflow can occur.
-        weights : tuple, array_like, or None, optional
-            If None, the pair-counting is unweighted.
-            If given as a tuple, weights[0] is the weights of points in
-            ``self``, and weights[1] is the weights of points in ``other``;
-            either can be None to indicate the points are unweighted.
-            If given as an array_like, weights is the weights of points in
-            ``self`` and ``other``. For this to make sense, ``self`` and
-            ``other`` must be the same tree. If ``self`` and ``other`` are two
-            different trees, a ``ValueError`` is raised.
-            Default: None
-
-            .. versionadded:: 1.6.0
-        cumulative : bool, optional
-            Whether the returned counts are cumulative. When cumulative is set
-            to ``False`` the algorithm is optimized to work with a large number
-            of bins (>10) specified by ``r``. When ``cumulative`` is set to
-            True, the algorithm is optimized to work with a small number of
-            ``r``. Default: True
-
-            .. versionadded:: 1.6.0
+        p : float, 1<=p<=infinity, optional
+            Which Minkowski p-norm to use
 
         Returns
         -------
-        result : scalar or 1-D array
-            The number of pairs. For unweighted counts, the result is integer.
-            For weighted counts, the result is float.
-            If cumulative is False, ``result[i]`` contains the counts with
-            ``(-inf if i == 0 else r[i-1]) < R <= r[i]``
-
-        Notes
-        -----
-        Pair-counting is the basic operation used to calculate the two point
-        correlation functions from a data set composed of position of objects.
-
-        Two point correlation function measures the clustering of objects and
-        is widely used in cosmology to quantify the large scale structure
-        in our Universe, but it may be useful for data analysis in other fields
-        where self-similar assembly of objects also occur.
-
-        The Landy-Szalay estimator for the two point correlation function of
-        ``D`` measures the clustering signal in ``D``. [2]_
-
-        For example, given the position of two sets of objects,
-
-        - objects ``D`` (data) contains the clustering signal, and
-
-        - objects ``R`` (random) that contains no signal,
-
-        .. math::
-
-             \\xi(r) = \\frac{<D, D> - 2 f <D, R> + f^2<R, R>}{f^2<R, R>},
-
-        where the brackets represents counting pairs between two data sets
-        in a finite bin around ``r`` (distance), corresponding to setting
-        `cumulative=False`, and ``f = float(len(D)) / float(len(R))`` is the
-        ratio between number of objects from data and random.
-
-        The algorithm implemented here is loosely based on the dual-tree
-        algorithm described in [1]_. We switch between two different
-        pair-cumulation scheme depending on the setting of ``cumulative``.
-        The computing time of the method we use when for
-        ``cumulative == False`` does not scale with the total number of bins.
-        The algorithm for ``cumulative == True`` scales linearly with the
-        number of bins, though it is slightly faster when only
-        1 or 2 bins are used. [5]_.
-
-        As an extension to the naive pair-counting,
-        weighted pair-counting counts the product of weights instead
-        of number of pairs.
-        Weighted pair-counting is used to estimate marked correlation functions
-        ([3]_, section 2.2),
-        or to properly calculate the average of data per distance bin
-        (e.g. [4]_, section 2.1 on redshift).
-
-        .. [1] Gray and Moore,
-               "N-body problems in statistical learning",
-               Mining the sky, 2000,
-               https://arxiv.org/abs/astro-ph/0012333
-
-        .. [2] Landy and Szalay,
-               "Bias and variance of angular correlation functions",
-               The Astrophysical Journal, 1993,
-               http://adsabs.harvard.edu/abs/1993ApJ...412...64L
-
-        .. [3] Sheth, Connolly and Skibba,
-               "Marked correlations in galaxy formation models",
-               Arxiv e-print, 2005,
-               https://arxiv.org/abs/astro-ph/0511773
-
-        .. [4] Hawkins, et al.,
-               "The 2dF Galaxy Redshift Survey: correlation functions,
-               peculiar velocities and the matter density of the Universe",
-               Monthly Notices of the Royal Astronomical Society, 2002,
-               http://adsabs.harvard.edu/abs/2003MNRAS.346...78H
-
-        .. [5] https://github.com/scipy/scipy/pull/5647#issuecomment-168474926
-
-        Examples
-        --------
-        You can count neighbors number between two kd-trees within a distance:
-
-        >>> import numpy as np
-        >>> from scipy.spatial import KDTree
-        >>> rng = np.random.default_rng()
-        >>> points1 = rng.random((5, 2))
-        >>> points2 = rng.random((5, 2))
-        >>> kd_tree1 = KDTree(points1)
-        >>> kd_tree2 = KDTree(points2)
-        >>> kd_tree1.count_neighbors(kd_tree2, 0.2)
-        1
-
-        This number is same as the total pair number calculated by
-        `query_ball_tree`:
-
-        >>> indexes = kd_tree1.query_ball_tree(kd_tree2, r=0.2)
-        >>> sum([len(i) for i in indexes])
-        1
+        result : int or 1-D array of ints
+            The number of pairs. Note that this is internally stored in a numpy
+            int, and so may overflow if very large (2e9).
 
         """
-        return super().count_neighbors(other, r, p, weights, cumulative)
    
+        def traverse(node1, rect1, node2, rect2, idx):
+            min_r = rect1.min_distance_rectangle(rect2,p)
+            max_r = rect1.max_distance_rectangle(rect2,p)
+            c_greater = r[idx] > max_r
+            result[idx[c_greater]] += node1.children*node2.children
+            idx = idx[(min_r <= r[idx]) & (r[idx] <= max_r)]
+            if len(idx) == 0:
+                return
+
+            if isinstance(node1,KDTree.leafnode):
+                if isinstance(node2,KDTree.leafnode):
+                    ds = minkowski_distance(self.data[node1.idx][:,np.newaxis,:],
+                                  other.data[node2.idx][np.newaxis,:,:],
+                                  p).ravel()
+                    ds.sort()
+                    result[idx] += np.searchsorted(ds,r[idx],side='right')
+                else:
+                    less, greater = rect2.split(node2.split_dim, node2.split)
+                    traverse(node1, rect1, node2.less, less, idx)
+                    traverse(node1, rect1, node2.greater, greater, idx)
+            else:
+                if isinstance(node2,KDTree.leafnode):
+                    less, greater = rect1.split(node1.split_dim, node1.split)
+                    traverse(node1.less, less, node2, rect2, idx)
+                    traverse(node1.greater, greater, node2, rect2, idx)
+                else:
+                    less1, greater1 = rect1.split(node1.split_dim, node1.split)
+                    less2, greater2 = rect2.split(node2.split_dim, node2.split)
+                    traverse(node1.less,less1,node2.less,less2,idx)
+                    traverse(node1.less,less1,node2.greater,greater2,idx)
+                    traverse(node1.greater,greater1,node2.less,less2,idx)
+                    traverse(node1.greater,greater1,node2.greater,greater2,idx)
+
+        R1 = Rectangle(self.maxes, self.mins)
+        R2 = Rectangle(other.maxes, other.mins)
+        if np.shape(r) == ():
+            r = np.array([r])
+            result = np.zeros(1,dtype=int)
+            traverse(self.tree, R1, other.tree, R2, np.arange(1))
+            return result[0]
+        elif len(np.shape(r)) == 1:
+            r = np.asarray(r)
+            n, = r.shape
+            result = np.zeros(n,dtype=int)
+            traverse(self.tree, R1, other.tree, R2, np.arange(n))
+            return result
+        else:
+            raise ValueError("r must be either a single value or a one-dimensional array of values")
    
 
-
    [docs]    def sparse_distance_matrix(
-            self, other, max_distance, p=2., output_type='dok_matrix'):
-        """Compute a sparse distance matrix.
+
    [docs]    def sparse_distance_matrix(self, other, max_distance, p=2.):
+        """
+        Compute a sparse distance matrix
 
         Computes a distance matrix between two KDTrees, leaving as zero
         any distance greater than max_distance.
@@ -914,60 +997,50 @@ 
    Source code for scipy.spatial.kdtree
     
         max_distance : positive float
 
-        p : float, 1<=p<=infinity
-            Which Minkowski p-norm to use.
-            A finite large p may cause a ValueError if overflow can occur.
-
-        output_type : string, optional
-            Which container to use for output data. Options: 'dok_matrix',
-            'coo_matrix', 'dict', or 'ndarray'. Default: 'dok_matrix'.
-
-            .. versionadded:: 1.6.0
+        p : float, optional
 
         Returns
         -------
-        result : dok_matrix, coo_matrix, dict or ndarray
-            Sparse matrix representing the results in "dictionary of keys"
-            format. If a dict is returned the keys are (i,j) tuples of indices.
-            If output_type is 'ndarray' a record array with fields 'i', 'j',
-            and 'v' is returned,
-
-        Examples
-        --------
-        You can compute a sparse distance matrix between two kd-trees:
-
-        >>> import numpy as np
-        >>> from scipy.spatial import KDTree
-        >>> rng = np.random.default_rng()
-        >>> points1 = rng.random((5, 2))
-        >>> points2 = rng.random((5, 2))
-        >>> kd_tree1 = KDTree(points1)
-        >>> kd_tree2 = KDTree(points2)
-        >>> sdm = kd_tree1.sparse_distance_matrix(kd_tree2, 0.3)
-        >>> sdm.toarray()
-        array([[0.        , 0.        , 0.12295571, 0.        , 0.        ],
-           [0.        , 0.        , 0.        , 0.        , 0.        ],
-           [0.28942611, 0.        , 0.        , 0.2333084 , 0.        ],
-           [0.        , 0.        , 0.        , 0.        , 0.        ],
-           [0.24617575, 0.29571802, 0.26836782, 0.        , 0.        ]])
-
-        You can check distances above the `max_distance` are zeros:
-
-        >>> from scipy.spatial import distance_matrix
-        >>> distance_matrix(points1, points2)
-        array([[0.56906522, 0.39923701, 0.12295571, 0.8658745 , 0.79428925],
-           [0.37327919, 0.7225693 , 0.87665969, 0.32580855, 0.75679479],
-           [0.28942611, 0.30088013, 0.6395831 , 0.2333084 , 0.33630734],
-           [0.31994999, 0.72658602, 0.71124834, 0.55396483, 0.90785663],
-           [0.24617575, 0.29571802, 0.26836782, 0.57714465, 0.6473269 ]])
+        result : dok_matrix
+            Sparse matrix representing the results in "dictionary of keys" format.
 
         """
-        return super().sparse_distance_matrix(
-            other, max_distance, p, output_type)
    
+        result = scipy.sparse.dok_matrix((self.n,other.n))
+
+        def traverse(node1, rect1, node2, rect2):
+            if rect1.min_distance_rectangle(rect2, p) > max_distance:
+                return
+            elif isinstance(node1, KDTree.leafnode):
+                if isinstance(node2, KDTree.leafnode):
+                    for i in node1.idx:
+                        for j in node2.idx:
+                            d = minkowski_distance(self.data[i],other.data[j],p)
+                            if d <= max_distance:
+                                result[i,j] = d
+                else:
+                    less, greater = rect2.split(node2.split_dim, node2.split)
+                    traverse(node1,rect1,node2.less,less)
+                    traverse(node1,rect1,node2.greater,greater)
+            elif isinstance(node2, KDTree.leafnode):
+                less, greater = rect1.split(node1.split_dim, node1.split)
+                traverse(node1.less,less,node2,rect2)
+                traverse(node1.greater,greater,node2,rect2)
+            else:
+                less1, greater1 = rect1.split(node1.split_dim, node1.split)
+                less2, greater2 = rect2.split(node2.split_dim, node2.split)
+                traverse(node1.less,less1,node2.less,less2)
+                traverse(node1.less,less1,node2.greater,greater2)
+                traverse(node1.greater,greater1,node2.less,less2)
+                traverse(node1.greater,greater1,node2.greater,greater2)
+        traverse(self.tree, Rectangle(self.maxes, self.mins),
+                 other.tree, Rectangle(other.maxes, other.mins))
+
+        return result
    
 
 
 def distance_matrix(x, y, p=2, threshold=1000000):
-    """Compute the distance matrix.
+    """
+    Compute the distance matrix.
 
     Returns the matrix of all pair-wise distances.
 
@@ -1036,7 +1109,7 @@ 
    Source code for scipy.spatial.kdtree
           ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/spatialpy/core/boundarycondition.html b/docs/build/html/_modules/spatialpy/core/boundarycondition.html
index b5a19163..4a7889e4 100644
--- a/docs/build/html/_modules/spatialpy/core/boundarycondition.html
+++ b/docs/build/html/_modules/spatialpy/core/boundarycondition.html
@@ -277,7 +277,7 @@ 
    Source code for spatialpy.core.boundarycondition
    
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/spatialpy/core/cleanup.html b/docs/build/html/_modules/spatialpy/core/cleanup.html
index e5d3fe39..81d264d1 100644
--- a/docs/build/html/_modules/spatialpy/core/cleanup.html
+++ b/docs/build/html/_modules/spatialpy/core/cleanup.html
@@ -199,7 +199,7 @@ 
    Source code for spatialpy.core.cleanup
           ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/spatialpy/core/datafunction.html b/docs/build/html/_modules/spatialpy/core/datafunction.html
index b0205924..3e2840cb 100644
--- a/docs/build/html/_modules/spatialpy/core/datafunction.html
+++ b/docs/build/html/_modules/spatialpy/core/datafunction.html
@@ -159,7 +159,7 @@ 
    Source code for spatialpy.core.datafunction
           ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/spatialpy/core/domain.html b/docs/build/html/_modules/spatialpy/core/domain.html
index 8dd8345d..7b608992 100644
--- a/docs/build/html/_modules/spatialpy/core/domain.html
+++ b/docs/build/html/_modules/spatialpy/core/domain.html
@@ -394,7 +394,7 @@ 
    Source code for spatialpy.core.domain
             :param zmax: Maximum z value of the bounding box (defaults to Domain.zlim[1]).
         :type zmax: float
 
-        :param \**kwargs: addition keyword arguments passed to :py:meth:`Domain.add_point`.
+        :param \**kwargs: Additional keyword arguments passed to :py:meth:`Domain.add_point`.
 
         :returns: The number of particles that were created within this geometry.
         :rtype: int
@@ -952,7 +952,7 @@ 
    Source code for spatialpy.core.domain
             :param fixed: spatially fixed flag of particles to be created. Defaults to false.
         :type fixed: bool
 
-        :param \**kwargs: addition keyword arguments passed to :py:class:`Domain`.
+        :param \**kwargs: Additional keyword arguments passed to :py:class:`Domain`.
         
         :returns: Uniform 3D SpatialPy Domain object.
         :rtype: spatialpy.core.domain.Domain
@@ -1011,7 +1011,7 @@ 
    Source code for spatialpy.core.domain
             :param fixed: spatially fixed flag of particles to be created. Defaults to false.
         :type fixed: bool
 
-        :param \**kwargs: addition keyword arguments passed to :py:class:`Domain`.
+        :param \**kwargs: Additional keyword arguments passed to :py:class:`Domain`.
 
         :returns: Uniform 2D SpatialPy Domain object.
         :rtype: spatialpy.core.domain.Domain
@@ -1050,7 +1050,7 @@ 
    Source code for spatialpy.core.domain
           ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/spatialpy/core/geometry.html b/docs/build/html/_modules/spatialpy/core/geometry.html
index bb7f3ee7..8ca065ff 100644
--- a/docs/build/html/_modules/spatialpy/core/geometry.html
+++ b/docs/build/html/_modules/spatialpy/core/geometry.html
@@ -201,7 +201,7 @@ 
    Source code for spatialpy.core.geometry
           ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/spatialpy/core/initialcondition.html b/docs/build/html/_modules/spatialpy/core/initialcondition.html
index 07abcaec..9dc0c791 100644
--- a/docs/build/html/_modules/spatialpy/core/initialcondition.html
+++ b/docs/build/html/_modules/spatialpy/core/initialcondition.html
@@ -297,7 +297,7 @@ 
    Source code for spatialpy.core.initialcondition
    <
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/spatialpy/core/model.html b/docs/build/html/_modules/spatialpy/core/model.html
index fa0027d2..6e155948 100644
--- a/docs/build/html/_modules/spatialpy/core/model.html
+++ b/docs/build/html/_modules/spatialpy/core/model.html
@@ -856,7 +856,7 @@ 
    Source code for spatialpy.core.model
           ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/spatialpy/core/parameter.html b/docs/build/html/_modules/spatialpy/core/parameter.html
index c3259fed..a1bd41b0 100644
--- a/docs/build/html/_modules/spatialpy/core/parameter.html
+++ b/docs/build/html/_modules/spatialpy/core/parameter.html
@@ -181,7 +181,7 @@ 
    Source code for spatialpy.core.parameter
           ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/spatialpy/core/reaction.html b/docs/build/html/_modules/spatialpy/core/reaction.html
index e917abbd..3c4d5a34 100644
--- a/docs/build/html/_modules/spatialpy/core/reaction.html
+++ b/docs/build/html/_modules/spatialpy/core/reaction.html
@@ -386,7 +386,7 @@ 
    Source code for spatialpy.core.reaction
           ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/spatialpy/core/result.html b/docs/build/html/_modules/spatialpy/core/result.html
index 1d4c4b2f..aa473c0b 100644
--- a/docs/build/html/_modules/spatialpy/core/result.html
+++ b/docs/build/html/_modules/spatialpy/core/result.html
@@ -996,7 +996,7 @@ 
    Source code for spatialpy.core.result
           ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/spatialpy/core/spatialpyerror.html b/docs/build/html/_modules/spatialpy/core/spatialpyerror.html
index c511a67e..2cf15b1b 100644
--- a/docs/build/html/_modules/spatialpy/core/spatialpyerror.html
+++ b/docs/build/html/_modules/spatialpy/core/spatialpyerror.html
@@ -207,7 +207,7 @@ 
    Source code for spatialpy.core.spatialpyerror
    Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/spatialpy/core/species.html b/docs/build/html/_modules/spatialpy/core/species.html
index 38cfe11e..8429f830 100644
--- a/docs/build/html/_modules/spatialpy/core/species.html
+++ b/docs/build/html/_modules/spatialpy/core/species.html
@@ -192,7 +192,7 @@ 
    Source code for spatialpy.core.species
           ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/spatialpy/core/vtkreader.html b/docs/build/html/_modules/spatialpy/core/vtkreader.html
index 589bbff2..68768261 100644
--- a/docs/build/html/_modules/spatialpy/core/vtkreader.html
+++ b/docs/build/html/_modules/spatialpy/core/vtkreader.html
@@ -306,7 +306,7 @@ 
    Source code for spatialpy.core.vtkreader
           ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/spatialpy/solvers/build_expression.html b/docs/build/html/_modules/spatialpy/solvers/build_expression.html
index 20b81fe4..6aaf4746 100644
--- a/docs/build/html/_modules/spatialpy/solvers/build_expression.html
+++ b/docs/build/html/_modules/spatialpy/solvers/build_expression.html
@@ -865,7 +865,7 @@ 
    Source code for spatialpy.solvers.build_expression
    Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/spatialpy/solvers/solver.html b/docs/build/html/_modules/spatialpy/solvers/solver.html
index 06c34b1f..5c84fcbc 100644
--- a/docs/build/html/_modules/spatialpy/solvers/solver.html
+++ b/docs/build/html/_modules/spatialpy/solvers/solver.html
@@ -724,7 +724,7 @@ 
    Source code for spatialpy.solvers.solver
           ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_modules/spatialpy/stochss/stochss_export.html b/docs/build/html/_modules/spatialpy/stochss/stochss_export.html
index 03309955..cead8e00 100644
--- a/docs/build/html/_modules/spatialpy/stochss/stochss_export.html
+++ b/docs/build/html/_modules/spatialpy/stochss/stochss_export.html
@@ -367,7 +367,7 @@ 
    Source code for spatialpy.stochss.stochss_export
    
       ©Copyright (C) 2017-2022.
       
       |
-      Powered by Sphinx 4.4.0
+      Powered by Sphinx 4.1.1
       & Alabaster 0.7.12
       
     
    
diff --git a/docs/build/html/_static/basic.css b/docs/build/html/_static/basic.css
index bf18350b..912859b5 100644
--- a/docs/build/html/_static/basic.css
+++ b/docs/build/html/_static/basic.css
@@ -4,7 +4,7 @@
  *
  * Sphinx stylesheet -- basic theme.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -731,9 +731,8 @@ dl.glossary dt {
 
 .classifier:before {
     font-style: normal;
-    margin: 0 0.5em;
+    margin: 0.5em;
     content: ":";
-    display: inline-block;
 }
 
 abbr, acronym {
@@ -757,7 +756,6 @@ span.pre {
     -ms-hyphens: none;
     -webkit-hyphens: none;
     hyphens: none;
-    white-space: nowrap;
 }
 
 div[class*="highlight-"] {
diff --git a/docs/build/html/_static/doctools.js b/docs/build/html/_static/doctools.js
index e509e483..8cbf1b16 100644
--- a/docs/build/html/_static/doctools.js
+++ b/docs/build/html/_static/doctools.js
@@ -4,7 +4,7 @@
  *
  * Sphinx JavaScript utilities for all documentation.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -264,9 +264,6 @@ var Documentation = {
   hideSearchWords : function() {
     $('#searchbox .highlight-link').fadeOut(300);
     $('span.highlighted').removeClass('highlighted');
-    var url = new URL(window.location);
-    url.searchParams.delete('highlight');
-    window.history.replaceState({}, '', url);
   },
 
   /**
diff --git a/docs/build/html/_static/language_data.js b/docs/build/html/_static/language_data.js
index ebe2f03b..863704b3 100644
--- a/docs/build/html/_static/language_data.js
+++ b/docs/build/html/_static/language_data.js
@@ -5,7 +5,7 @@
  * This script contains the language-specific data used by searchtools.js,
  * namely the list of stopwords, stemmer, scorer and splitter.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
diff --git a/docs/build/html/_static/pygments.css b/docs/build/html/_static/pygments.css
index 87f8bd12..1b945229 100644
--- a/docs/build/html/_static/pygments.css
+++ b/docs/build/html/_static/pygments.css
@@ -1,7 +1,7 @@
-pre { line-height: 125%; }
-td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
-span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
-td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+pre { line-height: 125%; margin: 0; }
+td.linenos pre { color: #000000; background-color: #f0f0f0; padding-left: 5px; padding-right: 5px; }
+span.linenos { color: #000000; background-color: #f0f0f0; padding-left: 5px; padding-right: 5px; }
+td.linenos pre.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
 span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
 .highlight .hll { background-color: #ffffcc }
 .highlight { background: #f8f8f8; }
diff --git a/docs/build/html/_static/searchtools.js b/docs/build/html/_static/searchtools.js
index 2d778593..8eb14218 100644
--- a/docs/build/html/_static/searchtools.js
+++ b/docs/build/html/_static/searchtools.js
@@ -4,7 +4,7 @@
  *
  * Sphinx JavaScript utilities for the full-text search.
  *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
+ * :copyright: Copyright 2007-2021 by the Sphinx team, see AUTHORS.
  * :license: BSD, see LICENSE for details.
  *
  */
@@ -276,28 +276,19 @@ var Search = {
           setTimeout(function() {
             displayNextItem();
           }, 5);
-        } else if (DOCUMENTATION_OPTIONS.HAS_SOURCE) {
+        } else {
           $.ajax({url: requestUrl,
                   dataType: "text",
                   complete: function(jqxhr, textstatus) {
                     var data = jqxhr.responseText;
                     if (data !== '' && data !== undefined) {
-                      var summary = Search.makeSearchSummary(data, searchterms, hlterms);
-                      if (summary) {
-                        listItem.append(summary);
-                      }
+                      listItem.append(Search.makeSearchSummary(data, searchterms, hlterms));
                     }
                     Search.output.append(listItem);
                     setTimeout(function() {
                       displayNextItem();
                     }, 5);
                   }});
-        } else {
-          // no source available, just display title
-          Search.output.append(listItem);
-          setTimeout(function() {
-            displayNextItem();
-          }, 5);
         }
       }
       // search finished, update title and status message
@@ -328,9 +319,7 @@ var Search = {
     var results = [];
 
     for (var prefix in objects) {
-      for (var iMatch = 0; iMatch != objects[prefix].length; ++iMatch) {
-        var match = objects[prefix][iMatch];
-        var name = match[4];
+      for (var name in objects[prefix]) {
         var fullname = (prefix ? prefix + '.' : '') + name;
         var fullnameLower = fullname.toLowerCase()
         if (fullnameLower.indexOf(object) > -1) {
@@ -344,6 +333,7 @@ var Search = {
           } else if (parts[parts.length - 1].indexOf(object) > -1) {
             score += Scorer.objPartialMatch;
           }
+          var match = objects[prefix][name];
           var objname = objnames[match[1]][2];
           var title = titles[match[0]];
           // If more than one term searched for, we require other words to be
@@ -502,9 +492,6 @@ var Search = {
    */
   makeSearchSummary : function(htmlText, keywords, hlwords) {
     var text = Search.htmlToText(htmlText);
-    if (text == "") {
-      return null;
-    }
     var textLower = text.toLowerCase();
     var start = 0;
     $.each(keywords, function() {
diff --git a/docs/build/html/classes/spatialpy.core.html b/docs/build/html/classes/spatialpy.core.html
index cbc65089..0b5b39b2 100644
--- a/docs/build/html/classes/spatialpy.core.html
+++ b/docs/build/html/classes/spatialpy.core.html
@@ -4,8 +4,7 @@
 
   
     
-    
-
+    
     spatialpy.core package — SpatialPy 1.0 documentation
     
     
@@ -14,7 +13,6 @@
     
     
     
-    
     
     
     
@@ -105,12 +103,12 @@ 
    Quick search
    
 
           
    
             
-  
    
+  
    
 
    spatialpy.core package
    
-
    
+
    
 
    Submodules
    
-
    
-
    
+
    
+
    
 
    spatialpy.core.boundarycondition module
    
 
    SpatialPy is a Python 3 package for simulation of
 spatial deterministic/stochastic reaction-diffusion-advection problems
@@ -126,7 +124,7 @@ 
    Submoduleshttp://www.gnu.org/licenses/>.
    
 
    
 
    
-class spatialpy.core.boundarycondition.BoundaryCondition(xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, type_id=None, deterministic=True, target=None, value=None, model=None)[source]
    
+class spatialpy.core.boundarycondition.BoundaryCondition(xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, type_id=None, deterministic=True, target=None, value=None, model=None)[source]

    Bases: object

    Set spatial regions of the domain where a property of particles are held constant (updated each simulation step)

    @@ -175,8 +173,8 @@

    Submodules + +

    spatialpy.core.cleanup module

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -224,8 +222,8 @@

    Submodules +

    +

    spatialpy.core.datafunction module

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -241,7 +239,7 @@

    Submoduleshttp://www.gnu.org/licenses/>.

    -class spatialpy.core.datafunction.DataFunction(name=None)[source]
    +class spatialpy.core.datafunction.DataFunction(name=None)[source]

    Bases: object

    Abstract class used to constuct the data function.

    @@ -272,8 +270,8 @@

    Submodules +

    +

    spatialpy.core.domain module

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -289,7 +287,7 @@

    Submoduleshttp://www.gnu.org/licenses/>.

    -class spatialpy.core.domain.Domain(numpoints, xlim, ylim, zlim, rho0=1.0, c0=10, P0=None, gravity=None)[source]
    +class spatialpy.core.domain.Domain(numpoints, xlim, ylim, zlim, rho0=1.0, c0=10, P0=None, gravity=None)[source]

    Bases: object

    Domain class for SpatialPy. A domain defines points and attributes of a regional space for simulation.

    @@ -380,7 +378,7 @@

    Submodules
    -classmethod create_2D_domain(xlim, ylim, nx, ny, type_id=1, mass=1.0, nu=1.0, rho=None, c=0, fixed=False, **kwargs)[source]
    +classmethod create_2D_domain(xlim, ylim, nx, ny, type_id=1, mass=1.0, nu=1.0, rho=None, c=0, fixed=False, **kwargs)[source]

    Create a filled 2D domain

    Parameters
    @@ -395,7 +393,7 @@

    SubmodulesDomain.

    +

  • **kwargs – Additional keyword arguments passed to Domain.

    • Returns
    @@ -409,7 +407,7 @@

    Submodules
    -classmethod create_3D_domain(xlim, ylim, zlim, nx, ny, nz, type_id=1, mass=1.0, nu=1.0, rho=None, c=0, fixed=False, **kwargs)[source]
    +classmethod create_3D_domain(xlim, ylim, zlim, nx, ny, nz, type_id=1, mass=1.0, nu=1.0, rho=None, c=0, fixed=False, **kwargs)[source]

    Create a filled 3D domain

    Parameters
    @@ -426,7 +424,7 @@

    SubmodulesDomain.

    +

  • **kwargs – Additional keyword arguments passed to Domain.

    • Returns
    @@ -476,7 +474,7 @@

    SubmodulesDomain.add_point().

    +

  • **kwargs – Additional keyword arguments passed to Domain.add_point().

    • Returns
    @@ -596,7 +594,7 @@

    Submodules
    -classmethod import_meshio_object(mesh_obj)[source]
    +classmethod import_meshio_object(mesh_obj)[source]

    Import a python meshio mesh object.

    Parameters
    @@ -639,7 +637,7 @@

    Submodules
    -classmethod read_msh_file(filename)[source]
    +classmethod read_msh_file(filename)[source]

    Read a Gmsh style .msh file

    Parameters
    @@ -656,7 +654,7 @@

    Submodules
    -classmethod read_stochss_domain(filename)[source]
    +classmethod read_stochss_domain(filename)[source]

    Read a StochSS Domain (.domn) file or pull a StochSS Domain from a StochSS Spatial Model (.smdl) file.

    Parameters
    @@ -690,7 +688,7 @@

    Submodules
    -classmethod read_xml_mesh(filename)[source]
    +classmethod read_xml_mesh(filename)[source]

    Read a FEniCS/dolfin style XML mesh file

    Parameters
    @@ -737,8 +735,8 @@

    Submodules +

    +

    spatialpy.core.geometry module

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -754,7 +752,7 @@

    Submoduleshttp://www.gnu.org/licenses/>.

    -class spatialpy.core.geometry.Geometry[source]
    +class spatialpy.core.geometry.Geometry[source]

    Bases: object

    Geometry class provides a method for tagging parts of the spatial domain as separate parts.

    @@ -780,7 +778,7 @@

    Submodules
    -class spatialpy.core.geometry.GeometryAll[source]
    +class spatialpy.core.geometry.GeometryAll[source]

    Bases: spatialpy.core.geometry.Geometry

    Mark all particles.

    @@ -806,7 +804,7 @@

    Submodules
    -class spatialpy.core.geometry.GeometryExterior[source]
    +class spatialpy.core.geometry.GeometryExterior[source]

    Bases: spatialpy.core.geometry.Geometry

    Mark particles that are on the edge of the domain. only works for domains that define triangles and tetrahedrons.

    @@ -833,7 +831,7 @@

    Submodules
    -class spatialpy.core.geometry.GeometryInterior[source]
    +class spatialpy.core.geometry.GeometryInterior[source]

    Bases: spatialpy.core.geometry.Geometry

    Mark particles that are not on the edge of the domain. Only works for domains that define triangles and tetrahedrons.

    @@ -858,8 +856,8 @@

    Submodules +

    +

    spatialpy.core.initialcondition module

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -875,7 +873,7 @@

    Submoduleshttp://www.gnu.org/licenses/>.

    -class spatialpy.core.initialcondition.InitialCondition[source]
    +class spatialpy.core.initialcondition.InitialCondition[source]

    Bases: object

    Class used to defined initial conditions in SpatialPy. SubClasses must implement the ‘apply(model)’ method, which @@ -895,7 +893,7 @@

    Submodules
    -class spatialpy.core.initialcondition.PlaceInitialCondition(species, count, location)[source]
    +class spatialpy.core.initialcondition.PlaceInitialCondition(species, count, location)[source]

    Bases: spatialpy.core.initialcondition.InitialCondition

    Class used to defined the place initial condition in SpatialPy.

    @@ -922,7 +920,7 @@

    Submodules
    -class spatialpy.core.initialcondition.ScatterInitialCondition(species, count, types=None)[source]
    +class spatialpy.core.initialcondition.ScatterInitialCondition(species, count, types=None)[source]

    Bases: spatialpy.core.initialcondition.InitialCondition

    Class used to defined the scatter initial condition in SpatialPy.

    @@ -949,7 +947,7 @@

    Submodules
    -class spatialpy.core.initialcondition.UniformInitialCondition(species, count, types=None)[source]
    +class spatialpy.core.initialcondition.UniformInitialCondition(species, count, types=None)[source]

    Bases: spatialpy.core.initialcondition.InitialCondition

    Class used to defined the uniform initial condition in SpatialPy.

    @@ -974,8 +972,8 @@

    Submodules +

    +

    spatialpy.core.model module

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -991,7 +989,7 @@

    Submoduleshttp://www.gnu.org/licenses/>.

    -class spatialpy.core.model.Model(name='spatialpy')[source]
    +class spatialpy.core.model.Model(name='spatialpy')[source]

    Bases: object

    Representation of a spatial biochemical model.

    @@ -1322,7 +1320,7 @@

    Submodules
    -reserved_names = ['vol', 't']
    +reserved_names = ['vol', 't']

    @@ -1416,7 +1414,7 @@

    Submodules
    -special_characters = ['[', ']', '+', '-', '*', '/', '.', '^']
    +special_characters = ['[', ']', '+', '-', '*', '/', '.', '^']

    @@ -1466,8 +1464,8 @@

    Submodules +

    +

    spatialpy.core.parameter module

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -1483,7 +1481,7 @@

    Submoduleshttp://www.gnu.org/licenses/>.

    -class spatialpy.core.parameter.Parameter(name=None, expression=None)[source]
    +class spatialpy.core.parameter.Parameter(name=None, expression=None)[source]

    Bases: object

    Model of a rate paramter. A parameter can be given as a String expression (function) or directly as a scalar value. @@ -1499,8 +1497,8 @@

    Submodules +

    +

    spatialpy.core.reaction module

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -1516,7 +1514,7 @@

    Submoduleshttp://www.gnu.org/licenses/>.

    -class spatialpy.core.reaction.Reaction(name='', reactants=None, products=None, propensity_function=None, rate=None, annotation=None, restrict_to=None)[source]
    +class spatialpy.core.reaction.Reaction(name='', reactants=None, products=None, propensity_function=None, rate=None, annotation=None, restrict_to=None)[source]

    Bases: object

    Models a biochemical reaction. A reaction conatains dictionaries of species (reactants and products) and parameters. The reaction’s propensity function needs to be evaluable and result in a non-negative scalar value in the namespace defined by the union of its Reactant, Product and Parameter dictionaries. For mass-action, zeroth, first and second order reactions are supported, attempting to used higher orders will result in an error.

    @@ -1584,8 +1582,8 @@

    Submodules +

    +

    spatialpy.core.result module

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -1601,7 +1599,7 @@

    Submoduleshttp://www.gnu.org/licenses/>.

    -class spatialpy.core.result.Result(model=None, result_dir=None)[source]
    +class spatialpy.core.result.Result(model=None, result_dir=None)[source]

    Bases: object

    Result object for a URDME simulation.

    @@ -1810,8 +1808,8 @@

    Submodules +

    +

    spatialpy.core.spatialpyerror module

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -1827,104 +1825,104 @@

    Submoduleshttp://www.gnu.org/licenses/>.

    -exception spatialpy.core.spatialpyerror.BoundaryConditionError[source]
    +exception spatialpy.core.spatialpyerror.BoundaryConditionError[source]

    Bases: spatialpy.core.spatialpyerror.ModelError

    Base class for exceptions in the boundarycondition module.

    -exception spatialpy.core.spatialpyerror.DataFunctionError[source]
    +exception spatialpy.core.spatialpyerror.DataFunctionError[source]

    Bases: spatialpy.core.spatialpyerror.ModelError

    Class for exceptions in the datafunction module.

    -exception spatialpy.core.spatialpyerror.DomainError[source]
    +exception spatialpy.core.spatialpyerror.DomainError[source]

    Bases: spatialpy.core.spatialpyerror.ModelError

    Class for exceptions in the domain module.

    -exception spatialpy.core.spatialpyerror.GeometryError[source]
    +exception spatialpy.core.spatialpyerror.GeometryError[source]

    Bases: spatialpy.core.spatialpyerror.ModelError

    Class for exceptions in the geometry module.

    -exception spatialpy.core.spatialpyerror.InitialConditionError[source]
    +exception spatialpy.core.spatialpyerror.InitialConditionError[source]

    Bases: spatialpy.core.spatialpyerror.ModelError

    Class for exceptions in initailcondition module.

    -exception spatialpy.core.spatialpyerror.ModelError[source]
    +exception spatialpy.core.spatialpyerror.ModelError[source]

    Bases: Exception

    Class for exceptions in the model module.

    -exception spatialpy.core.spatialpyerror.ParameterError[source]
    +exception spatialpy.core.spatialpyerror.ParameterError[source]

    Bases: spatialpy.core.spatialpyerror.ModelError

    Class for exceptions in parameter module.

    -exception spatialpy.core.spatialpyerror.ReactionError[source]
    +exception spatialpy.core.spatialpyerror.ReactionError[source]

    Bases: spatialpy.core.spatialpyerror.ModelError

    Class for exceptions in reaction module.

    -exception spatialpy.core.spatialpyerror.ResultError[source]
    +exception spatialpy.core.spatialpyerror.ResultError[source]

    Bases: Exception

    Class for exceptions in the results module.

    -exception spatialpy.core.spatialpyerror.SimulationError[source]
    +exception spatialpy.core.spatialpyerror.SimulationError[source]

    Bases: Exception

    Class for exceptions in the simulation module.

    -exception spatialpy.core.spatialpyerror.SimulationTimeout[source]
    +exception spatialpy.core.spatialpyerror.SimulationTimeout[source]

    Bases: spatialpy.core.spatialpyerror.SimulationError

    Exception raised for timeout errors.

    -exception spatialpy.core.spatialpyerror.SpeciesError[source]
    +exception spatialpy.core.spatialpyerror.SpeciesError[source]

    Bases: spatialpy.core.spatialpyerror.ModelError

    Class for exceptions in the species module.

    -exception spatialpy.core.spatialpyerror.VTKReaderError[source]
    +exception spatialpy.core.spatialpyerror.VTKReaderError[source]

    Bases: Exception

    Bass class for exceptions in the vtkreader module.

    -exception spatialpy.core.spatialpyerror.VTKReaderIOError(message)[source]
    +exception spatialpy.core.spatialpyerror.VTKReaderIOError(message)[source]

    Bases: spatialpy.core.spatialpyerror.VTKReaderError

    Exception raised for I/O errors.

    - -
    +

    +

    spatialpy.core.species module

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -1940,7 +1938,7 @@

    Submoduleshttp://www.gnu.org/licenses/>.

    -class spatialpy.core.species.Species(name=None, diffusion_coefficient=None, restrict_to=None)[source]
    +class spatialpy.core.species.Species(name=None, diffusion_coefficient=None, restrict_to=None)[source]

    Bases: object

    Model of a biochemical species. Must be assigned a diffusion coefficent.

    @@ -1968,8 +1966,8 @@

    Submodules +

    +

    spatialpy.core.vtkreader module

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -1985,7 +1983,7 @@

    Submoduleshttp://www.gnu.org/licenses/>.

    -class spatialpy.core.vtkreader.VTKReader(filename=None, debug=False)[source]
    +class spatialpy.core.vtkreader.VTKReader(filename=None, debug=False)[source]

    Bases: object

    VTKReader.py: SpatialPy minimal VTK legacy file reader. Reference: https://vtk.org/wp-content/uploads/2015/04/file-formats.pdf

    @@ -2080,8 +2078,8 @@

    Submodules +

    +

    Module contents

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -2097,7 +2095,7 @@

    Submoduleshttp://www.gnu.org/licenses/>.

    -class spatialpy.core.BoundaryCondition(xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, type_id=None, deterministic=True, target=None, value=None, model=None)[source]
    +class spatialpy.core.BoundaryCondition(xmin=None, xmax=None, ymin=None, ymax=None, zmin=None, zmax=None, type_id=None, deterministic=True, target=None, value=None, model=None)[source]

    Bases: object

    Set spatial regions of the domain where a property of particles are held constant (updated each simulation step)

    @@ -2148,14 +2146,14 @@

    Submodules
    -exception spatialpy.core.BoundaryConditionError[source]
    +exception spatialpy.core.BoundaryConditionError[source]

    Bases: spatialpy.core.spatialpyerror.ModelError

    Base class for exceptions in the boundarycondition module.

    -class spatialpy.core.DataFunction(name=None)[source]
    +class spatialpy.core.DataFunction(name=None)[source]

    Bases: object

    Abstract class used to constuct the data function.

    @@ -2188,14 +2186,14 @@

    Submodules
    -exception spatialpy.core.DataFunctionError[source]
    +exception spatialpy.core.DataFunctionError[source]

    Bases: spatialpy.core.spatialpyerror.ModelError

    Class for exceptions in the datafunction module.

    -class spatialpy.core.Domain(numpoints, xlim, ylim, zlim, rho0=1.0, c0=10, P0=None, gravity=None)[source]
    +class spatialpy.core.Domain(numpoints, xlim, ylim, zlim, rho0=1.0, c0=10, P0=None, gravity=None)[source]

    Bases: object

    Domain class for SpatialPy. A domain defines points and attributes of a regional space for simulation.

    @@ -2286,7 +2284,7 @@

    Submodules
    -classmethod create_2D_domain(xlim, ylim, nx, ny, type_id=1, mass=1.0, nu=1.0, rho=None, c=0, fixed=False, **kwargs)[source]
    +classmethod create_2D_domain(xlim, ylim, nx, ny, type_id=1, mass=1.0, nu=1.0, rho=None, c=0, fixed=False, **kwargs)[source]

    Create a filled 2D domain

    Parameters
    @@ -2301,7 +2299,7 @@

    SubmodulesDomain.

    +

  • **kwargs – Additional keyword arguments passed to Domain.

    • Returns
    @@ -2315,7 +2313,7 @@

    Submodules
    -classmethod create_3D_domain(xlim, ylim, zlim, nx, ny, nz, type_id=1, mass=1.0, nu=1.0, rho=None, c=0, fixed=False, **kwargs)[source]
    +classmethod create_3D_domain(xlim, ylim, zlim, nx, ny, nz, type_id=1, mass=1.0, nu=1.0, rho=None, c=0, fixed=False, **kwargs)[source]

    Create a filled 3D domain

    Parameters
    @@ -2332,7 +2330,7 @@

    SubmodulesDomain.

    +

  • **kwargs – Additional keyword arguments passed to Domain.

    • Returns
    @@ -2382,7 +2380,7 @@

    SubmodulesDomain.add_point().

    +

  • **kwargs – Additional keyword arguments passed to Domain.add_point().

    • Returns
    @@ -2502,7 +2500,7 @@

    Submodules
    -classmethod import_meshio_object(mesh_obj)[source]
    +classmethod import_meshio_object(mesh_obj)[source]

    Import a python meshio mesh object.

    Parameters
    @@ -2545,7 +2543,7 @@

    Submodules
    -classmethod read_msh_file(filename)[source]
    +classmethod read_msh_file(filename)[source]

    Read a Gmsh style .msh file

    Parameters
    @@ -2562,7 +2560,7 @@

    Submodules
    -classmethod read_stochss_domain(filename)[source]
    +classmethod read_stochss_domain(filename)[source]

    Read a StochSS Domain (.domn) file or pull a StochSS Domain from a StochSS Spatial Model (.smdl) file.

    Parameters
    @@ -2596,7 +2594,7 @@

    Submodules
    -classmethod read_xml_mesh(filename)[source]
    +classmethod read_xml_mesh(filename)[source]

    Read a FEniCS/dolfin style XML mesh file

    Parameters
    @@ -2645,14 +2643,14 @@

    Submodules
    -exception spatialpy.core.DomainError[source]
    +exception spatialpy.core.DomainError[source]

    Bases: spatialpy.core.spatialpyerror.ModelError

    Class for exceptions in the domain module.

    -class spatialpy.core.Geometry[source]
    +class spatialpy.core.Geometry[source]

    Bases: object

    Geometry class provides a method for tagging parts of the spatial domain as separate parts.

    @@ -2678,7 +2676,7 @@

    Submodules
    -class spatialpy.core.GeometryAll[source]
    +class spatialpy.core.GeometryAll[source]

    Bases: spatialpy.core.geometry.Geometry

    Mark all particles.

    @@ -2704,14 +2702,14 @@

    Submodules
    -exception spatialpy.core.GeometryError[source]
    +exception spatialpy.core.GeometryError[source]

    Bases: spatialpy.core.spatialpyerror.ModelError

    Class for exceptions in the geometry module.

    -class spatialpy.core.GeometryExterior[source]
    +class spatialpy.core.GeometryExterior[source]

    Bases: spatialpy.core.geometry.Geometry

    Mark particles that are on the edge of the domain. only works for domains that define triangles and tetrahedrons.

    @@ -2738,7 +2736,7 @@

    Submodules
    -class spatialpy.core.GeometryInterior[source]
    +class spatialpy.core.GeometryInterior[source]

    Bases: spatialpy.core.geometry.Geometry

    Mark particles that are not on the edge of the domain. Only works for domains that define triangles and tetrahedrons.

    @@ -2765,7 +2763,7 @@

    Submodules
    -class spatialpy.core.InitialCondition[source]
    +class spatialpy.core.InitialCondition[source]

    Bases: object

    Class used to defined initial conditions in SpatialPy. SubClasses must implement the ‘apply(model)’ method, which @@ -2785,46 +2783,43 @@

    Submodules
    -exception spatialpy.core.InitialConditionError[source]
    +exception spatialpy.core.InitialConditionError[source]

    Bases: spatialpy.core.spatialpyerror.ModelError

    Class for exceptions in initailcondition module.

    -class spatialpy.core.KDTree(data, leafsize=10, compact_nodes=True, copy_data=False, balanced_tree=True, boxsize=None)[source]
    -

    Bases: scipy.spatial.ckdtree.cKDTree

    -

    kd-tree for quick nearest-neighbor lookup.

    -

    This class provides an index into a set of k-dimensional points -which can be used to rapidly look up the nearest neighbors of any -point.

    +class spatialpy.core.KDTree(data, leafsize=10)[source] +

    Bases: object

    +

    kd-tree for quick nearest-neighbor lookup

    +

    This class provides an index into a set of k-D points which +can be used to rapidly look up the nearest neighbors of any point.

    Parameters
      -

    • data (array_like, shape (n,m)) – The n data points of dimension m to be indexed. This array is -not copied unless this is necessary to produce a contiguous -array of doubles, and so modifying this data will result in -bogus results. The data are also copied if the kd-tree is built -with copy_data=True.

      • -

    • leafsize (positive int, optional) – The number of points at which the algorithm switches over to -brute-force. Default: 10.

      • -

    • compact_nodes (bool, optional) – If True, the kd-tree is built to shrink the hyperrectangles to -the actual data range. This usually gives a more compact tree that -is robust against degenerated input data and gives faster queries -at the expense of longer build time. Default: True.

      • -

    • copy_data (bool, optional) – If True the data is always copied to protect the kd-tree against -data corruption. Default: False.

      • -

    • balanced_tree (bool, optional) – If True, the median is used to split the hyperrectangles instead of -the midpoint. This usually gives a more compact tree and -faster queries at the expense of longer build time. Default: True.

      • -

    • boxsize (array_like or scalar, optional) – Apply a m-d toroidal topology to the KDTree.. The topology is generated -by \(x_i + n_i L_i\) where \(n_i\) are integers and \(L_i\) -is the boxsize along i-th dimension. The input data shall be wrapped -into \([0, L_i)\). A ValueError is raised if any of the data is -outside of this bound.

      • +

    • data ((N,K) array_like) – The data points to be indexed. This array is not copied, and +so modifying this data will result in bogus results.

      • +

    • leafsize (int, optional) – The number of points at which the algorithm switches over to +brute-force. Has to be positive.

    +
    Raises
    +

    RuntimeError – The maximum recursion limit can be exceeded for large data + sets. If this happens, either increase the value for the leafsize + parameter or increase the recursion limit by:: + + >>> import sys + >>> sys.setrecursionlimit(10000)

    +
    +
    +
    +

    See also

    +
    +
    cKDTree

    Implementation of KDTree in Cython

    +
    +

    Notes

    The algorithm used is described in Maneewongvatana and Mount 1999. The general idea is that the kd-tree is a binary tree, each of whose @@ -2841,414 +2836,153 @@

    Submodules -
    -data
    -

    The n data points of dimension m to be indexed. This array is -not copied unless this is necessary to produce a contiguous -array of doubles. The data are also copied if the kd-tree is built -with copy_data=True.

    -
    -
    Type
    -

    ndarray, shape (n,m)

    -
    -
    -

    - -
    -
    -leafsize
    -

    The number of points at which the algorithm switches over to -brute-force.

    -
    -
    Type
    -

    positive int

    -
    -
    -
    - -
    -
    -m
    -

    The dimension of a single data-point.

    -
    -
    Type
    -

    int

    -
    -
    -
    - -
    -
    -n
    -

    The number of data points.

    -
    -
    Type
    -

    int

    -
    -
    -
    - -
    -
    -maxes
    -

    The maximum value in each dimension of the n data points.

    -
    -
    Type
    -

    ndarray, shape (m,)

    -
    -
    -
    - -
    -
    -mins
    -

    The minimum value in each dimension of the n data points.

    -
    -
    Type
    -

    ndarray, shape (m,)

    -
    -
    -
    - -
    -
    -size
    -

    The number of nodes in the tree.

    -
    -
    Type
    -

    int

    -
    -
    -
    - +

    The tree also supports all-neighbors queries, both with arrays of points +and with other kd-trees. These do use a reasonably efficient algorithm, +but the kd-tree is not necessarily the best data structure for this +sort of calculation.

    -count_neighbors(other, r, p=2.0, weights=None, cumulative=True)[source]
    +count_neighbors(other, r, p=2.0)[source]

    Count how many nearby pairs can be formed.

    -

    Count the number of pairs (x1,x2) can be formed, with x1 drawn -from self and x2 drawn from other, and where -distance(x1, x2, p) <= r.

    -

    Data points on self and other are optionally weighted by the -weights argument. (See below)

    -

    This is adapted from the “two-point correlation” algorithm described by -Gray and Moore 1. See notes for further discussion.

    +

    Count the number of pairs (x1,x2) can be formed, with x1 drawn +from self and x2 drawn from other, and where +distance(x1, x2, p) <= r. +This is the “two-point correlation” described in Gray and Moore 2000, +“N-body problems in statistical learning”, and the code here is based +on their algorithm.

    Parameters
      -

    • other (KDTree) – The other tree to draw points from, can be the same tree as self.

      • +

    • other (KDTree instance) – The other tree to draw points from.

    • r (float or one-dimensional array of floats) – The radius to produce a count for. Multiple radii are searched with -a single tree traversal. -If the count is non-cumulative(cumulative=False), r defines -the edges of the bins, and must be non-decreasing.

      • -

    • p (float, optional) – 1<=p<=infinity. -Which Minkowski p-norm to use. -Default 2.0. -A finite large p may cause a ValueError if overflow can occur.

      • -

    • weights (tuple, array_like, or None, optional) –

      If None, the pair-counting is unweighted. -If given as a tuple, weights[0] is the weights of points in -self, and weights[1] is the weights of points in other; -either can be None to indicate the points are unweighted. -If given as an array_like, weights is the weights of points in -self and other. For this to make sense, self and -other must be the same tree. If self and other are two -different trees, a ValueError is raised. -Default: None

      -
      -

      New in version 1.6.0.

      -
      -

      • -

    • cumulative (bool, optional) –

      Whether the returned counts are cumulative. When cumulative is set -to False the algorithm is optimized to work with a large number -of bins (>10) specified by r. When cumulative is set to -True, the algorithm is optimized to work with a small number of -r. Default: True

      -
      -

      New in version 1.6.0.

      -
      -

      • +a single tree traversal.

      +

    • p (float, 1<=p<=infinity, optional) – Which Minkowski p-norm to use

    Returns
    -

    result – The number of pairs. For unweighted counts, the result is integer. -For weighted counts, the result is float. -If cumulative is False, result[i] contains the counts with -(-inf if i == 0 else r[i-1]) < R <= r[i]

    +

    result – The number of pairs. Note that this is internally stored in a numpy +int, and so may overflow if very large (2e9).

    Return type
    -

    scalar or 1-D array

    -
    -
    -

    Notes

    -

    Pair-counting is the basic operation used to calculate the two point -correlation functions from a data set composed of position of objects.

    -

    Two point correlation function measures the clustering of objects and -is widely used in cosmology to quantify the large scale structure -in our Universe, but it may be useful for data analysis in other fields -where self-similar assembly of objects also occur.

    -

    The Landy-Szalay estimator for the two point correlation function of -D measures the clustering signal in D. 2

    -

    For example, given the position of two sets of objects,

    -
      -

    • objects D (data) contains the clustering signal, and

      • -

    • objects R (random) that contains no signal,

      • -
    -
    -\[\xi(r) = \frac{<D, D> - 2 f <D, R> + f^2<R, R>}{f^2<R, R>},\]
    -

    where the brackets represents counting pairs between two data sets -in a finite bin around r (distance), corresponding to setting -cumulative=False, and f = float(len(D)) / float(len(R)) is the -ratio between number of objects from data and random.

    -

    The algorithm implemented here is loosely based on the dual-tree -algorithm described in 1. We switch between two different -pair-cumulation scheme depending on the setting of cumulative. -The computing time of the method we use when for -cumulative == False does not scale with the total number of bins. -The algorithm for cumulative == True scales linearly with the -number of bins, though it is slightly faster when only -1 or 2 bins are used. 5.

    -

    As an extension to the naive pair-counting, -weighted pair-counting counts the product of weights instead -of number of pairs. -Weighted pair-counting is used to estimate marked correlation functions -(3, section 2.2), -or to properly calculate the average of data per distance bin -(e.g. 4, section 2.1 on redshift).

    -
    -
    1(1,2)
    -

    Gray and Moore, -“N-body problems in statistical learning”, -Mining the sky, 2000, -https://arxiv.org/abs/astro-ph/0012333

    -
    -
    2
    -

    Landy and Szalay, -“Bias and variance of angular correlation functions”, -The Astrophysical Journal, 1993, -http://adsabs.harvard.edu/abs/1993ApJ…412…64L

    -
    -
    3
    -

    Sheth, Connolly and Skibba, -“Marked correlations in galaxy formation models”, -Arxiv e-print, 2005, -https://arxiv.org/abs/astro-ph/0511773

    -
    -
    4
    -

    Hawkins, et al., -“The 2dF Galaxy Redshift Survey: correlation functions, -peculiar velocities and the matter density of the Universe”, -Monthly Notices of the Royal Astronomical Society, 2002, -http://adsabs.harvard.edu/abs/2003MNRAS.346…78H

    -
    -
    5
    -

    https://github.com/scipy/scipy/pull/5647#issuecomment-168474926

    +

    int or 1-D array of ints

    -

    Examples

    -

    You can count neighbors number between two kd-trees within a distance:

    -
    >>> import numpy as np
->>> from scipy.spatial import KDTree
->>> rng = np.random.default_rng()
->>> points1 = rng.random((5, 2))
->>> points2 = rng.random((5, 2))
->>> kd_tree1 = KDTree(points1)
->>> kd_tree2 = KDTree(points2)
->>> kd_tree1.count_neighbors(kd_tree2, 0.2)
-1
-
    -
    -

    This number is same as the total pair number calculated by -query_ball_tree:

    -
    >>> indexes = kd_tree1.query_ball_tree(kd_tree2, r=0.2)
->>> sum([len(i) for i in indexes])
-1
-
    -
    -class innernode(ckdtreenode)[source]
    +class innernode(split_dim, split, less, greater)[source]

    Bases: scipy.spatial.kdtree.KDTree.node

    -
    -
    -property children
    -
    - -
    -
    -property split
    -
    - -
    -
    -property split_dim
    -
    -
    -class leafnode(ckdtree_node=None)[source]
    +class leafnode(idx)[source]

    Bases: scipy.spatial.kdtree.KDTree.node

    -
    -
    -property children
    -
    - -
    -
    -property idx
    -
    -
    -class node(ckdtree_node=None)[source]
    +class node[source]

    Bases: object

    -query(x, k=1, eps=0, p=2, distance_upper_bound=inf, workers=1)[source]
    -

    Query the kd-tree for nearest neighbors.

    +query(x, k=1, eps=0, p=2, distance_upper_bound=inf)[source] +

    Query the kd-tree for nearest neighbors

    Parameters

    • x (array_like, last dimension self.m) – An array of points to query.

      • -

    • k (int or Sequence[int], optional) – Either the number of nearest neighbors to return, or a list of the -k-th nearest neighbors to return, starting from 1.

      • +

    • k (int, optional) – The number of nearest neighbors to return.

    • eps (nonnegative float, optional) – Return approximate nearest neighbors; the kth returned value is guaranteed to be no further than (1+eps) times the distance to the real kth nearest neighbor.

    • p (float, 1<=p<=infinity, optional) – Which Minkowski p-norm to use. -1 is the sum-of-absolute-values distance (“Manhattan” distance). -2 is the usual Euclidean distance. -infinity is the maximum-coordinate-difference distance. -A large, finite p may cause a ValueError if overflow can occur.

      • +1 is the sum-of-absolute-values “Manhattan” distance +2 is the usual Euclidean distance +infinity is the maximum-coordinate-difference distance

    • distance_upper_bound (nonnegative float, optional) – Return only neighbors within this distance. This is used to prune tree searches, so if you are doing a series of nearest-neighbor queries, it may help to supply the distance to the nearest neighbor of the most recent point.

      • -

    • workers (int, optional) –

      Number of workers to use for parallel processing. If -1 is given -all CPU threads are used. Default: 1.

      -
      -

      New in version 1.6.0.

      -
      -

    Returns
    -

      +

      • d (float or array of floats) – The distances to the nearest neighbors. -If x has shape tuple+(self.m,), then d has shape -tuple+(k,). -When k == 1, the last dimension of the output is squeezed. -Missing neighbors are indicated with infinite distances. -Hits are sorted by distance (nearest first).

        -
        -

        Deprecated since version 1.6.0: If k=None, then d is an object array of shape tuple, -containing lists of distances. This behavior is deprecated and -will be removed in SciPy 1.8.0, use query_ball_point -instead.

        -
        -
        • -

      • i (integer or array of integers) – The index of each neighbor in self.data. -i is the same shape as d. -Missing neighbors are indicated with self.n.

        • +If x has shape tuple+(self.m,), then d has shape tuple if +k is one, or tuple+(k,) if k is larger than one. Missing +neighbors (e.g. when k > n or distance_upper_bound is +given) are indicated with infinite distances. If k is None, +then d is an object array of shape tuple, containing lists +of distances. In either case the hits are sorted by distance +(nearest first).

        +

      • i (integer or array of integers) – The locations of the neighbors in self.data. i is the same +shape as d.

    Examples

    -
    >>> import numpy as np
->>> from scipy.spatial import KDTree
+
    >>> from scipy import spatial
 >>> x, y = np.mgrid[0:5, 2:8]
->>> tree = KDTree(np.c_[x.ravel(), y.ravel()])
-
    
-
    
-
    To query the nearest neighbours and return squeezed result, use
    
-
    >>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=1)
->>> print(dd, ii, sep='\n')
-[2.         0.2236068]
-[ 0 13]
-
    
-
    
-
    To query the nearest neighbours and return unsqueezed result, use
    
-
    >>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=[1])
->>> print(dd, ii, sep='\n')
-[[2.        ]
- [0.2236068]]
-[[ 0]
- [13]]
-
    
-
    
-
    To query the second nearest neighbours and return unsqueezed result,
-use
    
-
    >>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=[2])
->>> print(dd, ii, sep='\n')
-[[2.23606798]
- [0.80622577]]
-[[ 6]
- [19]]
-
    
-
    
-
    To query the first and second nearest neighbours, use
    
-
    >>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=2)
->>> print(dd, ii, sep='\n')
-[[2.         2.23606798]
- [0.2236068  0.80622577]]
-[[ 0  6]
- [13 19]]
-
    
-
    
-
    or, be more specific
    
-
    >>> dd, ii = tree.query([[0, 0], [2.2, 2.9]], k=[1, 2])
->>> print(dd, ii, sep='\n')
-[[2.         2.23606798]
- [0.2236068  0.80622577]]
-[[ 0  6]
- [13 19]]
+>>> tree = spatial.KDTree(list(zip(x.ravel(), y.ravel())))
+>>> tree.data
+array([[0, 2],
+       [0, 3],
+       [0, 4],
+       [0, 5],
+       [0, 6],
+       [0, 7],
+       [1, 2],
+       [1, 3],
+       [1, 4],
+       [1, 5],
+       [1, 6],
+       [1, 7],
+       [2, 2],
+       [2, 3],
+       [2, 4],
+       [2, 5],
+       [2, 6],
+       [2, 7],
+       [3, 2],
+       [3, 3],
+       [3, 4],
+       [3, 5],
+       [3, 6],
+       [3, 7],
+       [4, 2],
+       [4, 3],
+       [4, 4],
+       [4, 5],
+       [4, 6],
+       [4, 7]])
+>>> pts = np.array([[0, 0], [2.1, 2.9]])
+>>> tree.query(pts)
+(array([ 2.        ,  0.14142136]), array([ 0, 13]))
+>>> tree.query(pts[0])
+(2.0, 0)
    -query_ball_point(x, r, p=2.0, eps=0, workers=1, return_sorted=None, return_length=False)[source]
    +query_ball_point(x, r, p=2.0, eps=0)[source]

    Find all points within distance r of point(s) x.

    Parameters

    • x (array_like, shape tuple + (self.m,)) – The point or points to search for neighbors of.

      • -

    • r (array_like, float) – The radius of points to return, must broadcast to the length of x.

      • -

    • p (float, optional) – Which Minkowski p-norm to use. Should be in the range [1, inf]. -A finite large p may cause a ValueError if overflow can occur.

      • +

    • r (positive float) – The radius of points to return.

      • +

    • p (float, optional) – Which Minkowski p-norm to use. Should be in the range [1, inf].

    • eps (nonnegative float, optional) – Approximate search. Branches of the tree are not explored if their nearest points are further than r / (1 + eps), and branches are added in bulk if their furthest points are nearer than r * (1 + eps).

      • -

    • workers (int, optional) –

      Number of jobs to schedule for parallel processing. If -1 is given -all processors are used. Default: 1.

      -
      -

      New in version 1.6.0.

      -
      -

      • -

    • return_sorted (bool, optional) –

      Sorts returned indicies if True and does not sort them if False. If -None, does not sort single point queries, but does sort -multi-point queries which was the behavior before this option -was added.

      -
      -

      New in version 1.6.0.

      -
      -

      • -

    • return_length (bool, optional) –

      Return the number of points inside the radius instead of a list -of the indices.

      -
      -

      New in version 1.6.0.

      -
      -

    Returns
    @@ -3269,7 +3003,7 @@

    Submodules>>> x, y = np.mgrid[0:5, 0:5] >>> points = np.c_[x.ravel(), y.ravel()] >>> tree = spatial.KDTree(points) ->>> sorted(tree.query_ball_point([2, 0], 1)) +>>> tree.query_ball_point([2, 0], 1) [5, 10, 11, 15]

    @@ -3289,8 +3023,7 @@

    Submodules
    query_ball_tree(other, r, p=2.0, eps=0)[source]
    -

    Find all pairs of points between self and other whose distance is -at most r.

    +

    Find all pairs of points whose distance is at most r

    Parameters
    -

    Examples

    -

    You can search all pairs of points between two kd-trees within a distance:

    -
    >>> import matplotlib.pyplot as plt
->>> import numpy as np
->>> from scipy.spatial import KDTree
->>> rng = np.random.default_rng()
->>> points1 = rng.random((15, 2))
->>> points2 = rng.random((15, 2))
->>> plt.figure(figsize=(6, 6))
->>> plt.plot(points1[:, 0], points1[:, 1], "xk", markersize=14)
->>> plt.plot(points2[:, 0], points2[:, 1], "og", markersize=14)
->>> kd_tree1 = KDTree(points1)
->>> kd_tree2 = KDTree(points2)
->>> indexes = kd_tree1.query_ball_tree(kd_tree2, r=0.2)
->>> for i in range(len(indexes)):
-...     for j in indexes[i]:
-...         plt.plot([points1[i, 0], points2[j, 0]],
-...             [points1[i, 1], points2[j, 1]], "-r")
->>> plt.show()
-
    -
    -query_pairs(r, p=2.0, eps=0, output_type='set')[source]
    -

    Find all pairs of points in self whose distance is at most r.

    +query_pairs(r, p=2.0, eps=0)[source] +

    Find all pairs of points within a distance.

    Parameters
    Returns

    results – Set of pairs (i,j), with i < j, for which the corresponding -positions are close. If output_type is ‘ndarray’, an ndarry is -returned instead of a set.

    +positions are close.

    Return type
    -

    set or ndarray

    +

    set

    -

    Examples

    -

    You can search all pairs of points in a kd-tree within a distance:

    -
    >>> import matplotlib.pyplot as plt
->>> import numpy as np
->>> from scipy.spatial import KDTree
->>> rng = np.random.default_rng()
->>> points = rng.random((20, 2))
->>> plt.figure(figsize=(6, 6))
->>> plt.plot(points[:, 0], points[:, 1], "xk", markersize=14)
->>> kd_tree = KDTree(points)
->>> pairs = kd_tree.query_pairs(r=0.2)
->>> for (i, j) in pairs:
-...     plt.plot([points[i, 0], points[j, 0]],
-...             [points[i, 1], points[j, 1]], "-r")
->>> plt.show()
-
    -
    -sparse_distance_matrix(other, max_distance, p=2.0, output_type='dok_matrix')[source]
    -

    Compute a sparse distance matrix.

    +sparse_distance_matrix(other, max_distance, p=2.0)[source] +

    Compute a sparse distance matrix

    Computes a distance matrix between two KDTrees, leaving as zero any distance greater than max_distance.

    @@ -3395,66 +3084,23 @@

    Submodules

    • other (KDTree) –

    • max_distance (positive float) –

      • -

    • p (float, 1<=p<=infinity) – Which Minkowski p-norm to use. -A finite large p may cause a ValueError if overflow can occur.

      • -

    • output_type (string, optional) –

      Which container to use for output data. Options: ‘dok_matrix’, -‘coo_matrix’, ‘dict’, or ‘ndarray’. Default: ‘dok_matrix’.

      -
      -

      New in version 1.6.0.

      -
      -

      • +

    • p (float, optional) –

    Returns
    -

    result – Sparse matrix representing the results in “dictionary of keys” -format. If a dict is returned the keys are (i,j) tuples of indices. -If output_type is ‘ndarray’ a record array with fields ‘i’, ‘j’, -and ‘v’ is returned,

    +

    result – Sparse matrix representing the results in “dictionary of keys” format.

    Return type
    -

    dok_matrix, coo_matrix, dict or ndarray

    +

    dok_matrix

    -

    Examples

    -

    You can compute a sparse distance matrix between two kd-trees:

    -
    >>> import numpy as np
->>> from scipy.spatial import KDTree
->>> rng = np.random.default_rng()
->>> points1 = rng.random((5, 2))
->>> points2 = rng.random((5, 2))
->>> kd_tree1 = KDTree(points1)
->>> kd_tree2 = KDTree(points2)
->>> sdm = kd_tree1.sparse_distance_matrix(kd_tree2, 0.3)
->>> sdm.toarray()
-array([[0.        , 0.        , 0.12295571, 0.        , 0.        ],
-   [0.        , 0.        , 0.        , 0.        , 0.        ],
-   [0.28942611, 0.        , 0.        , 0.2333084 , 0.        ],
-   [0.        , 0.        , 0.        , 0.        , 0.        ],
-   [0.24617575, 0.29571802, 0.26836782, 0.        , 0.        ]])
-
    -
    -

    You can check distances above the max_distance are zeros:

    -
    >>> from scipy.spatial import distance_matrix
->>> distance_matrix(points1, points2)
-array([[0.56906522, 0.39923701, 0.12295571, 0.8658745 , 0.79428925],
-   [0.37327919, 0.7225693 , 0.87665969, 0.32580855, 0.75679479],
-   [0.28942611, 0.30088013, 0.6395831 , 0.2333084 , 0.33630734],
-   [0.31994999, 0.72658602, 0.71124834, 0.55396483, 0.90785663],
-   [0.24617575, 0.29571802, 0.26836782, 0.57714465, 0.6473269 ]])
-
    -

    -
    -
    -property tree
    -
    -
    -class spatialpy.core.Model(name='spatialpy')[source]
    +class spatialpy.core.Model(name='spatialpy')[source]

    Bases: object

    Representation of a spatial biochemical model.

    @@ -3785,7 +3431,7 @@

    Submodules
    -reserved_names = ['vol', 't']
    +reserved_names = ['vol', 't']

    @@ -3879,7 +3525,7 @@

    Submodules
    -special_characters = ['[', ']', '+', '-', '*', '/', '.', '^']
    +special_characters = ['[', ']', '+', '-', '*', '/', '.', '^']

    @@ -3910,14 +3556,14 @@

    Submodules
    -exception spatialpy.core.ModelError[source]
    +exception spatialpy.core.ModelError[source]

    Bases: Exception

    Class for exceptions in the model module.

    -class spatialpy.core.OrderedDict[source]
    +class spatialpy.core.OrderedDict[source]

    Bases: dict

    Dictionary that remembers insertion order

    @@ -3938,12 +3584,12 @@

    Submodules
    -items() → a set-like object providing a view on D's items
    +items() → a set-like object providing a view on D’s items

    -keys() → a set-like object providing a view on D's keys
    +keys() → a set-like object providing a view on D’s keys
    @@ -3955,7 +3601,7 @@

    Submodules
    -pop(k[, d]) → v, remove specified key and return the corresponding
    +pop(k[, d]) → v, remove specified key and return the corresponding

    value. If key is not found, d is returned if given, otherwise KeyError is raised.

    @@ -3976,7 +3622,7 @@

    Submodules
    -update([E, ]**F) → None.  Update D from dict/iterable E and F.
    +update([E, ]**F) → None.  Update D from dict/iterable E and F.

    If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

    @@ -3984,14 +3630,14 @@

    Submodules
    -values() → an object providing a view on D's values
    +values() → an object providing a view on D’s values

    -class spatialpy.core.Parameter(name=None, expression=None)[source]
    +class spatialpy.core.Parameter(name=None, expression=None)[source]

    Bases: object

    Model of a rate paramter. A parameter can be given as a String expression (function) or directly as a scalar value. @@ -4009,14 +3655,14 @@

    Submodules
    -exception spatialpy.core.ParameterError[source]
    +exception spatialpy.core.ParameterError[source]

    Bases: spatialpy.core.spatialpyerror.ModelError

    Class for exceptions in parameter module.

    -class spatialpy.core.PlaceInitialCondition(species, count, location)[source]
    +class spatialpy.core.PlaceInitialCondition(species, count, location)[source]

    Bases: spatialpy.core.initialcondition.InitialCondition

    Class used to defined the place initial condition in SpatialPy.

    @@ -4043,7 +3689,7 @@

    Submodules
    -class spatialpy.core.Reaction(name='', reactants=None, products=None, propensity_function=None, rate=None, annotation=None, restrict_to=None)[source]
    +class spatialpy.core.Reaction(name='', reactants=None, products=None, propensity_function=None, rate=None, annotation=None, restrict_to=None)[source]

    Bases: object

    Models a biochemical reaction. A reaction conatains dictionaries of species (reactants and products) and parameters. The reaction’s propensity function needs to be evaluable and result in a non-negative scalar value in the namespace defined by the union of its Reactant, Product and Parameter dictionaries. For mass-action, zeroth, first and second order reactions are supported, attempting to used higher orders will result in an error.

    @@ -4113,14 +3759,14 @@

    Submodules
    -exception spatialpy.core.ReactionError[source]
    +exception spatialpy.core.ReactionError[source]

    Bases: spatialpy.core.spatialpyerror.ModelError

    Class for exceptions in reaction module.

    -class spatialpy.core.Result(model=None, result_dir=None)[source]
    +class spatialpy.core.Result(model=None, result_dir=None)[source]

    Bases: object

    Result object for a URDME simulation.

    @@ -4331,14 +3977,14 @@

    Submodules
    -exception spatialpy.core.ResultError[source]
    +exception spatialpy.core.ResultError[source]

    Bases: Exception

    Class for exceptions in the results module.

    -class spatialpy.core.ScatterInitialCondition(species, count, types=None)[source]
    +class spatialpy.core.ScatterInitialCondition(species, count, types=None)[source]

    Bases: spatialpy.core.initialcondition.InitialCondition

    Class used to defined the scatter initial condition in SpatialPy.

    @@ -4365,21 +4011,21 @@

    Submodules
    -exception spatialpy.core.SimulationError[source]
    +exception spatialpy.core.SimulationError[source]

    Bases: Exception

    Class for exceptions in the simulation module.

    -exception spatialpy.core.SimulationTimeout[source]
    +exception spatialpy.core.SimulationTimeout[source]

    Bases: spatialpy.core.spatialpyerror.SimulationError

    Exception raised for timeout errors.

    -class spatialpy.core.Species(name=None, diffusion_coefficient=None, restrict_to=None)[source]
    +class spatialpy.core.Species(name=None, diffusion_coefficient=None, restrict_to=None)[source]

    Bases: object

    Model of a biochemical species. Must be assigned a diffusion coefficent.

    @@ -4409,14 +4055,14 @@

    Submodules
    -exception spatialpy.core.SpeciesError[source]
    +exception spatialpy.core.SpeciesError[source]

    Bases: spatialpy.core.spatialpyerror.ModelError

    Class for exceptions in the species module.

    -class spatialpy.core.UniformInitialCondition(species, count, types=None)[source]
    +class spatialpy.core.UniformInitialCondition(species, count, types=None)[source]

    Bases: spatialpy.core.initialcondition.InitialCondition

    Class used to defined the uniform initial condition in SpatialPy.

    @@ -4443,7 +4089,7 @@

    Submodules
    -class spatialpy.core.VTKReader(filename=None, debug=False)[source]
    +class spatialpy.core.VTKReader(filename=None, debug=False)[source]

    Bases: object

    VTKReader.py: SpatialPy minimal VTK legacy file reader. Reference: https://vtk.org/wp-content/uploads/2015/04/file-formats.pdf

    @@ -4540,14 +4186,14 @@

    Submodules
    -exception spatialpy.core.VTKReaderError[source]
    +exception spatialpy.core.VTKReaderError[source]

    Bases: Exception

    Bass class for exceptions in the vtkreader module.

    -exception spatialpy.core.VTKReaderIOError(message)[source]
    +exception spatialpy.core.VTKReaderIOError(message)[source]

    Bases: spatialpy.core.spatialpyerror.VTKReaderError

    Exception raised for I/O errors.

    @@ -4588,7 +4234,7 @@

    Submodules
    -class spatialpy.core.combinations(iterable, r)
    +class spatialpy.core.combinations(iterable, r)

    Bases: object

    Return successive r-length combinations of elements in the iterable.

    combinations(range(4), 3) –> (0,1,2), (0,1,3), (0,2,3), (1,2,3)

    @@ -4643,7 +4289,7 @@

    Submodules -
    image (default=None |’png’ |’jpeg’ |’svg’ |’webp’) – This parameter sets

    the format of the image to be downloaded, if we choose to download an +

    image (default=None |’png’ |’jpeg’ |’svg’ |’webp’) – This parameter sets

    the format of the image to be downloaded, if we choose to download an image. This parameter has a default value of None indicating that no image should be downloaded. Please note: for higher resolution images and more export options, consider using plotly.io.write_image. See @@ -4680,7 +4326,7 @@

    Submodulesiplot([{'x': [1, 2, 3], 'y': [5, 2, 7]}], image='png') `

    animation_opts Example: -``` +``` from plotly.offline import iplot figure = {‘data’: [{‘x’: [0, 1], ‘y’: [0, 1]}],

    @@ -4697,11 +4343,11 @@

    Submodules```

    +```

    - - + + @@ -4729,7 +4375,7 @@

    SubmodulesSphinx 4.4.0 + Powered by Sphinx 4.1.1 & Alabaster 0.7.12 | diff --git a/docs/build/html/classes/spatialpy.html b/docs/build/html/classes/spatialpy.html index 424282e2..2c1be40a 100644 --- a/docs/build/html/classes/spatialpy.html +++ b/docs/build/html/classes/spatialpy.html @@ -4,8 +4,7 @@ - - + spatialpy package — SpatialPy 1.0 documentation @@ -102,9 +101,9 @@

    Quick search

    -
    +

    spatialpy package

    -
    +

    Subpackages

      @@ -141,8 +140,8 @@

      Subpackages +

    +

    Module contents

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -156,8 +155,8 @@

    Subpackageshttp://www.gnu.org/licenses/>.

    -

    -
    +
    + @@ -185,7 +184,7 @@

    SubpackagesSphinx 4.4.0 + Powered by Sphinx 4.1.1 & Alabaster 0.7.12 | diff --git a/docs/build/html/classes/spatialpy.solvers.html b/docs/build/html/classes/spatialpy.solvers.html index c3b84ac1..a0aecbb1 100644 --- a/docs/build/html/classes/spatialpy.solvers.html +++ b/docs/build/html/classes/spatialpy.solvers.html @@ -4,8 +4,7 @@ - - + spatialpy.solvers package — SpatialPy 1.0 documentation @@ -104,12 +103,12 @@

    Quick search

    -
    +

    spatialpy.solvers package

    -
    +

    Submodules

    -
    -
    +
    +

    spatialpy.solvers.build_expression module

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -125,7 +124,7 @@

    Submoduleshttp://www.gnu.org/licenses/>.

    -class spatialpy.solvers.build_expression.BuildExpression(blacklist=None, namespace=None, sanitize=False)[source]
    +class spatialpy.solvers.build_expression.BuildExpression(blacklist=None, namespace=None, sanitize=False)[source]

    Bases: object

    Accepts an expression string to validate and convert. Allows for pre-flight syntax and namespace validations, @@ -159,7 +158,7 @@

    Submodules
    -class ValidationVisitor(namespace=None, blacklist=None, sanitize=False)[source]
    +class ValidationVisitor(namespace=None, blacklist=None, sanitize=False)[source]

    Bases: ast.NodeTransformer

    A subclass of ast.NodeTransformer used to sanitize spatialpy expresions.

    @@ -173,7 +172,7 @@

    Submodules
    -visit_Assign(node: ast.Assign)[source]
    +visit_Assign(node: _ast.Assign)[source]

    Visitor function for ast.Assign nodes.

    Parameters
    @@ -335,7 +334,7 @@

    Submodules
    -classmethod map_operator(operator)[source]
    +classmethod map_operator(operator)[source]

    Map operator strings with built expressions.

    Parameters
    @@ -346,7 +345,7 @@

    Submodules
    -operator_map = {'!': <class 'ast.Not'>, '!=': <class 'ast.NotEq'>, '%': <class 'ast.Mod'>, '&': <class 'ast.BitAnd'>, '*': <class 'ast.Mult'>, '**': <class 'ast.Pow'>, '+': <class 'ast.Add'>, '-': <class 'ast.Sub'>, '/': <class 'ast.Div'>, '//': <class 'ast.FloorDiv'>, ':=': <class 'ast.Assign'>, '<': <class 'ast.Lt'>, '<<': <class 'ast.LShift'>, '<=': <class 'ast.LtE'>, '=': <class 'ast.Assign'>, '==': <class 'ast.Eq'>, '>': <class 'ast.Gt'>, '>=': <class 'ast.GtE'>, '>>': <class 'ast.RShift'>, '@': <class 'ast.MatMult'>, '^': <class 'ast.BitXor'>, 'and': <class 'ast.And'>, 'or': <class 'ast.Or'>, '|': <class 'ast.BitOr'>}
    +operator_map = {'!': <class '_ast.Not'>, '!=': <class '_ast.NotEq'>, '%': <class '_ast.Mod'>, '&': <class '_ast.BitAnd'>, '*': <class '_ast.Mult'>, '**': <class '_ast.Pow'>, '+': <class '_ast.Add'>, '-': <class '_ast.Sub'>, '/': <class '_ast.Div'>, '//': <class '_ast.FloorDiv'>, ':=': <class '_ast.Assign'>, '<': <class '_ast.Lt'>, '<<': <class '_ast.LShift'>, '<=': <class '_ast.LtE'>, '=': <class '_ast.Assign'>, '==': <class '_ast.Eq'>, '>': <class '_ast.Gt'>, '>=': <class '_ast.GtE'>, '>>': <class '_ast.RShift'>, '@': <class '_ast.MatMult'>, '^': <class '_ast.BitXor'>, 'and': <class '_ast.And'>, 'or': <class '_ast.Or'>, '|': <class '_ast.BitOr'>}

    @@ -416,17 +415,17 @@

    Submodules
    -class spatialpy.solvers.build_expression.CppConverter(tree)[source]
    +class spatialpy.solvers.build_expression.CppConverter(tree)[source]

    Bases: spatialpy.solvers.build_expression.ExpressionConverter

    Converts an ast.AST to a C++ expression string.

    -class CppExpressionTransformer[source]
    +class CppExpressionTransformer[source]

    Bases: ast.NodeTransformer

    A subclass of ast.NodeTransformer used to convert ast.AST expresions to C++ expressions.

    -visit_BinOp(node: ast.BinOp)[source]
    +visit_BinOp(node: _ast.BinOp)[source]

    Visitor function for ast.BinOp nodes.

    Parameters
    @@ -483,7 +482,7 @@

    Submodules
    -class spatialpy.solvers.build_expression.ExpressionConverter(tree)[source]
    +class spatialpy.solvers.build_expression.ExpressionConverter(tree)[source]

    Bases: ast.NodeVisitor

    A subclass of ast.NodeVisitor used to convert spatialpy expresions.

    @@ -493,7 +492,7 @@

    Submodules
    -classmethod convert_str(expression)[source]
    +classmethod convert_str(expression)[source]

    Convert ‘^’ to python pow operator.

    Parameters
    @@ -821,7 +820,7 @@

    Submodules
    -class spatialpy.solvers.build_expression.ExpressionResults(invalid_names=None, invalid_operators=None, is_valid=True)[source]
    +class spatialpy.solvers.build_expression.ExpressionResults(invalid_names=None, invalid_operators=None, is_valid=True)[source]

    Bases: object

    Container struct for returning the results of expression validation. Any expression items which indicate an invalid expression are listed on an ExpressionResults instance. @@ -842,7 +841,7 @@

    Submodules
    -class spatialpy.solvers.build_expression.PythonConverter(tree)[source]
    +class spatialpy.solvers.build_expression.PythonConverter(tree)[source]

    Bases: spatialpy.solvers.build_expression.ExpressionConverter

    Converts an ast.AST to a Python expression string.

    @@ -869,8 +868,8 @@

    Submodules +

    +

    spatialpy.solvers.solver module

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -886,7 +885,7 @@

    Submoduleshttp://www.gnu.org/licenses/>.

    -class spatialpy.solvers.solver.Solver(model, debug_level=0)[source]
    +class spatialpy.solvers.solver.Solver(model, debug_level=0)[source]

    Bases: object

    SpatialPy solver object.

    @@ -947,8 +946,8 @@

    Submodules +

    +

    Module contents

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -962,8 +961,8 @@

    Submoduleshttp://www.gnu.org/licenses/>.

    -

    - +
    + @@ -991,7 +990,7 @@

    SubmodulesSphinx 4.4.0 + Powered by Sphinx 4.1.1 & Alabaster 0.7.12 | diff --git a/docs/build/html/classes/spatialpy.stochss.html b/docs/build/html/classes/spatialpy.stochss.html index 87f7ecc8..b422fed0 100644 --- a/docs/build/html/classes/spatialpy.stochss.html +++ b/docs/build/html/classes/spatialpy.stochss.html @@ -4,8 +4,7 @@ - - + spatialpy.stochss package — SpatialPy 1.0 documentation @@ -102,12 +101,12 @@

    Quick search

    -
    +

    spatialpy.stochss package

    -
    +

    Submodules

    -
    -
    +
    +

    spatialpy.stochss.stochss_export module

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -142,8 +141,8 @@

    Submodules +

    +

    Module contents

    SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems @@ -157,8 +156,8 @@

    Submoduleshttp://www.gnu.org/licenses/>.

    -

    - +
    + @@ -182,7 +181,7 @@

    SubmodulesSphinx 4.4.0 + Powered by Sphinx 4.1.1 & Alabaster 0.7.12 | diff --git a/docs/build/html/genindex.html b/docs/build/html/genindex.html index 61d2a048..f15d74f7 100644 --- a/docs/build/html/genindex.html +++ b/docs/build/html/genindex.html @@ -101,9 +101,7 @@

    Index

    | G | I | K - | L | M - | N | O | P | Q @@ -234,12 +232,6 @@

    C

    -
  • children (spatialpy.core.KDTree.innernode property) - -
  • cleanup_build_files() (in module spatialpy.core) @@ -276,10 +268,10 @@

    C

  • combinations (class in spatialpy.core)
    • - - +
    • compile_prep() (spatialpy.core.Domain method)
        @@ -324,8 +316,6 @@

        C

        D

        - + -

        U

        @@ -1331,7 +1287,7 @@

        W

        ©Copyright (C) 2017-2022. | - Powered by Sphinx 4.4.0 + Powered by Sphinx 4.1.1 & Alabaster 0.7.12 diff --git a/docs/build/html/index.html b/docs/build/html/index.html index bdf46565..fdf6b500 100644 --- a/docs/build/html/index.html +++ b/docs/build/html/index.html @@ -4,8 +4,7 @@ - - + Documentation for SpatialPy 1.0 — SpatialPy 1.0 documentation @@ -91,23 +90,23 @@

        Quick search

        -
        +

        Documentation for SpatialPy 1.0

        SpatialPy is a Python 3 package for simulation of spatial deterministic/stochastic reaction-diffusion-advection problems embedded in Lagrangian reference frame particle based fluid dynamics domain

        This package is intended to replace the PyURDME software https://github.com/pyurdme/pyurdme and will feature both a NSM solver for RDME simulation on static domains and a sSSA-SDPD particle based fluid dynamics solver as described in the publication “A hybrid smoothed dissipative particle dynamics (SDPD) spatial stochastic simulation algorithm (sSSA) for advection–diffusion–reaction problems” by Drawert, Jacob, Li, Yi, Petzold https://www.sciencedirect.com/science/article/pii/S0021999118307101

        -
        +

        Getting a copy of SpatialPy

        The latest version of SpatialPy can be found on PyPI. The source code is available on GitHub. SpatialPy is licensed under the GNU General Public License version 3.

        -

        Please register as a user! SpatialPy's development is funded by NIH grant 2R01EB014877, and to continue support, we need to prove SpatialPy has users. Please fill out our short registration form!

        -
        +

        Please register as a user! SpatialPy's development is funded by NIH grant 2R01EB014877, and to continue support, we need to prove SpatialPy has users. Please fill out our short registration form!

        +

        Examples

        See our Example Notebook - Start Here for more information on how to build and simulate your models with SpatialPy. For an example of how to use SpatialPy to simulate a spatial stochastic reaction-diffusion system, see the 3D Cylinder Demo. We also provide examples of how to use SpatialPy to simulate physics (Gravity Demo) and fluid flow (Weir Model).

        -
        -
        +
        +

        Reporting Issues

        If you find any problem with SpatialPy or this documentation, please report it using the GitHub issue tracker for the project. You can also contact the main author, Dr. Brian Drawert, directly with questions and suggestions.

        - -
        +
        +

        Documentation

        API reference

        @@ -124,16 +123,16 @@

        Documentation +

        +
        + @@ -157,7 +156,7 @@

        Indices and tablesSphinx 4.4.0 + Powered by Sphinx 4.1.1 & Alabaster 0.7.12 | diff --git a/docs/build/html/objects.inv b/docs/build/html/objects.inv index f335ae26546f40e1c8858cf9394845d73fa8c58f..df1b09ba2e90d19b38829327fd1e4b2c2a8ac311 100644 GIT binary patch delta 2441 zcmV;433m3h6zLO?dVfoE+c*}5_x=^Cn%P>@k6rINvAZkPlf>0ZvSmReBw-8^XaH2K z{`G?gDUlRKxrGCIk&-Nm-@)VZ5|2YA7o5}FFj48{XH`%|iwBmQg*^O{bE5U){>O!X zL-l{OB!&?#56fIAy4;zP|7-AB7jb{b3{^%5uI<5c%_`z`ZhvL>825KNXZA?*o#k_3 z6s5~Q9=_O@TNRqKC)rC@Ra8}?h*artru8@_8-UyqGpzZ%~>@Lp5}bJ26E-*oj}!&=f8si@Wswxnh!3IO*}DWM#Z zzT{N;QvYM<1Aj5(x4OzB>)gdGOCn?H*=0ehC`!VjD(3-9QWTjKtTIuR3#^>*yynEv zY%e&1$Avw~WP6)T=?elVO366QY~V@=PN>2qW~vc1MP1YV^pF+DzQrJa1|kcl4XJXP zt*QA=X_futyNBhFHrO!Ev+vC8GD#eigQ!)Jt(!y>qJJHR-2p&bYC`c?wY6_vK*-SN znPz`e5V5LDduhK=u0cR^kTfgk286?;9ac)AOjc68VE1)wABvaOJWp@8f$*EU4I&LBk<0hQFm-JSlXgS+Udm?-?QoAKzTlVD)CWW_AXP>H~~(z)CJ z&bC0_=AY=^_a&4B5CXL<-1@O^JxOvJO+?JQMmK9?D9hZ=a-wof4<_UR#o8!QKGTCn z@tC0{42CRNDfTooBBND-LP{ZlDA#f*oPW(C1>KOE8x%2IrzqN<@H#GAK6P*0H(sDe z1|nxXahtt>D^#Pr_+_d;J0p}EOV%R7L{N#Mj@!KG@%#viR3Kng2@@H%M_4nHj@;^M zafp!nlj`OQzquzJz}YO^Zj?=qx!%WB&hxgXU5*0?2N()>Xo%rUgY#Q%z{+|au79@8 z_E_BVMPMN!c9q+qCsn{Sd4U+8C|9g>MibDbdZK-?u_tO1%R5ELtqm6le!@|(&8BuX zt1K6Evtjl?Tn297h?e_Wv5inAFk~(e<3r}#mp^QJFQUdIM@CqaQHmV=Sc4hb-Eb-Q!@~*?lC;q&>jGyxIdUXn&V?NQF4J z2T-7adzAb$o}9?e-4_A7x`%MAxqF1Z!|{+-?{hN9@qG@)7{AZC2>m-l7SUo4&m)@ZyaHkLHFpv5fIC_jWBtre_ zLpa3kIfNoSpF<{K1GtMst#EXia5wt}IK)AGfemhEq`!THiw-oL*MGfB#X8={$nb~& zy5EObmTxQ10bnOlBb1n8L`7l1kEdw7(8z6V9S=(})) z8Li7hI_d+r@dvKl+SzIqHw^D5n7E<%kp*!B_p(%6!CDl;ZF|N-*>1gb}4?sadujDL3J_Bc3mZXb*C=$=yncjj{_B1!hCFyrnB7TyF98}IQ?+FHaS z1HKPT^E-P34fJo^4e_vF)fs@1KOr+fr}*KKfduTqx&asZ0M3Aoe9+VIf`kF5HU1u@i*(16zZ zNxDu!#@OvI(bJG27W^?Vz>Kd2-?xjDm*cki)7Ew+cX-gqB#YmCBmO3Z_?) z5sLc|L30GFcVMqM$)7pXW-h_kE_L4`_+Cmov-Xc1B)Hvm>F$qH&Aup7X=kQ+Gugy9 zx?UOlx}j02Wty?W)n9-C34Kmcp;KQajLQ)bJAn4@5`Xp6m}0u97*h+sU7GuG1=C4x zJ(p#<*s`4PSv3>h^u|P+i?1kV)k~GWCKOYR%qJud*Pk-ODkd8JPY5O(?@wt~`W1Vj zSkVWzpH=UXb0#&LH+&xdnpN(1Gqc>|ta|@7Gt13ey^q&_#tti(Xl6ex_$JBblQ1)1 zil6FoR)4)G@qJdkm6>-uwW`;%>V2JEFxfiSNi%HdYWzIv$uD9hoTv>1lFo3)wGfls z@Cw^039rl5ks8(JJzD!H1**<1_PR}Y3K<@1zSe%>TT|`Ve4~9xI#|yVVV5WRq?@$I zci^+HEVLhjFr|+~L|!!`UC)+q=`(8qLl(9zY%?Q;S delta 2516 zcmV;_2`l#L6SNeNdVkAu+c*}6_kIdh&1}u-%dU5w*xi-tN#bfH*|H!KvM>e-Gyp16 zKm7m%Ns$yqxrHC}A|+WAzk|!cAuj(>GQl~`3=^eJKC7H6nm@42tmN^Rj1#R__dl-c zH&p*eOJW$|@|a{o(PU=|{;$zzeZ>78GgKKNxV9II4J%1)=YLlAfN_7PGiI+e-$`C_ zqbN=Oc=%#pZneiAxiIdk4~s^5I|Uc*Z0K`N?sgDt4pi5$RvR7xmE zq=$^ky43#|`hP$S`K>Cmz&iIaNkL>tJ^L(36-7ZiO} zn(hTh@VKxynRIW1DLo*7qL7T!)H<$&;DpLuV5S;DQ`9xxPY-F{^(_YZGZ2|GZAh8X zbVJQ|O3U=8x_ej#X@f1}JpInhE|tVVIfz>3>81%Z-hbO+*c|}$OpPxdE1&I~0|@E+ zJk{)P3L=(OVTbmCat#8Sqoiq0w;&uQ?65)#WzvG`9TTb8{Eudc=qS1H6-G3k9oTtV z=v`_@3`Oy@5!p^_T(B5Wb+u_c5?SU$!Rwv^@U--CS+9Ku<~EAATs_I*{_M=NE|yNysmai<~XcCFzs#2Cdkm7zD2CYJocs3hAlo-0~= zNE2_50IZgrnHbD8X9a|NzM&CH!nS2cW%&UHY=5Vp;m%lqFy!E$?f?`kL8KCdfq2(n z6;($-9I83#hS)V-@D{^4(lpT*LX?C-LNCtS?WaoH#ZkN7E{G)_07Y!u?e@|A(Rx|P z1hBrp-g)X4_6LLX&s~5=F?DY+l*K$tT`Jd(03Xl&V3pntjcby2;Jc=6WH4=5?XJ! zg$FL9Lqf|4^hJlmIijP%YO1KFYESdDw3Q8=MmER_P)SYP)9G(IdWxQkiNbf?j7K+} z1OvORYGzS}N(9c8&OQEjwgs{_{si}aU4KGJ04`9;+?^ZMttUxFgNca!mPwID2qnqv z`ZOrU3}8YYQLL>J#S1-Z6ptBNz+lLN6=F|QBT`!CD5Mk;h;l85!r3U2(=DmEK@t5p zMbY+zS7FiessG@FM8l2?boP#w?-=f;bp!8!#oNIKYu&j?(5Rx&&^ z2vdlkF`=6ASI|K!a<`H%D+y?khSa{Mn~HJoskP^KXG*sgu>-pgV{lbHFMo(Zwo74& z!@^q@-JElot7#EqL=@`A!+`w9U?Pzd1#(;y#$`~SH z$r&RoEJtI+1)cJasgR6~5fqrXF-iUzPmYwvF*E|s<`~1VNgWgP9gc@g@i-@gGCj`0 zn1qjWE+X&aoC*zW=q!*S9eMJAxU?${UqwZqY8!qw~-;1C7z1va>u zk^1%tF51y>TK7H`t9YLx!#x71ejj6D8u%%2g!00D7p00HGr@I-D&z;?3RdlCYWZm+ zK+XKL0hn@rfJf=)2Y*nsioOp=h|&5yq@vz)8-3u~?VYXHVbkzofC-z5cPxk+co3z+ z3f7_!YTGjwN_IO9M(A%R$N(YkITfSGRh^19xYujRWw0uDz`==ghgg(G_nZoNGM_^c zL2^ii33n&3@FsxBc)LGoD-jEH_#rUP?`w{1pnuzPjEDW2)_(|${OPC>I>rwUjZDB2 z>qcB?0?vqyOtd&dqxA42FjjMZ5ss0dkMTIk_lOKt%3fk)gtPs?9~xV|JU?9MKO)5u z{O`?+>ZI?1Rqt33LHz^`D6OBR>lkE=-2M_h4jCfBp8^BK_*(FNyGeQ3Z<}w;xNiFm zuQeWN&0~O*cYp4K$AO{CV`O0GHUr5wyVlC?is+XUM(hN- zeix~qrYy$uiYaUUM^LkRUcq#fN6%%mTs*Uk@I`G#eCSOXZ3bVSFKRDV_?od8Yi2%U z@_0SV41a4e((Hf6V6^%EoXt|d;w%(v^nvXcwfD$5lbS8-K97GbYVLQlu(`)Y?fus* zY;M`=eZ2lNc36XvR`&A--z3<45@z9{_^B!uwf7{xFKTaXmYq+ntIeYJzAkPs+CJCG zra#ct_;u7%y@?fZp*AuQb%i@^3$e)cudtI6|9_gSJ8Dpy4`^*F1**<1_PR`X4(XGc zueG25)?E8F-)NJhz4R;+HaXE})uaQy1D}0mrA_`zF0$$WN!i`E>is{-Bzqyx^ltiq za30kiA+E;%fAU3Wd%8Hw?RV{J;$-qNz3KRQdanUj6He36pJ~a;oE~ZzCmYHguKm>C z{Y}BWy*quavDy2^gUG6amZmPython Module Index

        ©Copyright (C) 2017-2022. | - Powered by Sphinx 4.4.0 + Powered by Sphinx 4.1.1 & Alabaster 0.7.12 diff --git a/docs/build/html/search.html b/docs/build/html/search.html index d6fae452..0fca5605 100644 --- a/docs/build/html/search.html +++ b/docs/build/html/search.html @@ -86,14 +86,13 @@

        Related Topics

        Search

        -