diff --git a/examples/a_scan_input_file_IN.DAT b/examples/a_scan_input_file_IN.DAT
new file mode 100644
index 0000000000..1953db1875
--- /dev/null
+++ b/examples/a_scan_input_file_IN.DAT
@@ -0,0 +1,616 @@
+*************************************************************************
+*****                                                               *****
+*****                  Generic large tokamak file                   *****
+*****                    James Morris, UKAEA                        *****
+*****                          28/06/23                             *****
+*****                                                               *****
+*************************************************************************
+
+* Run Information *
+*******************
+
+runtitle = Generic large tokamak
+
+* Figure of merit - minimise major radius
+minmax = 1
+
+* Error tolerance for VMCON
+epsvmc = 1e-7
+
+* Constraint Equations - Consistency Equations *
+************************************************
+
+* Beta consistency *
+*------------------*
+icc = 1
+ixc = 5 * beta
+beta = 0.03
+
+* Global power balance *
+*----------------------*
+icc = 2
+
+* Radial build consistency *
+*--------------------------*
+icc = 11
+
+* Constraint Equations - Limit Equations *
+******************************************
+
+* Density upper limit *
+*---------------------*
+icc = 5
+ixc = 6 * dene [m-3]
+fdene = 1.2
+dene = 7.5E19
+
+* Neutron wall load upper limit *
+*-------------------------------*
+icc = 8
+ixc = 14 * fwalld
+fwalld = 1.0
+* wall load limit [MW/m2]
+walalw = 2.0
+
+* Fusion power upper limit *
+*--------------------------*
+
+icc = 9
+ixc = 26 * ffuspow
+* Maximum allowable value fusion power [MW]
+powfmax = 3000
+
+* Burn time lower limit *
+*-----------------------*
+icc = 13 
+ixc = 21 * ftburn
+* minimum burn time [s]
+tbrnmn = 7200.0
+
+* L-H threshold scaling *
+*-----------------------*
+icc = 15
+ixc = 103 * flhthresh
+boundu(103) = 10.0
+
+* Injection power upper limit *
+*-----------------------------*
+icc = 30
+ixc = 46 * fpinj
+* Maximum allowable value for injected power [MW]
+pinjalw = 200.0
+
+* Net electric power lower limit *
+*--------------------------------*
+icc = 16
+ixc = 25 * fpnetel
+* Minimum allowable value for net eletric power [MW]
+pnetelin = 400.0
+
+* Beta upper limit *
+*------------------*
+icc = 24
+ixc = 36 * fbetatry
+fbetatry = 0.5
+
+* Max TF field *
+*--------------*
+icc = 25
+ixc = 35 * fpeakb
+* Maximum allowable value for toroidal magnetic field [T]
+bmxlim = 14.0
+
+* Central solenoid EOF current density upper limit *
+*--------------------------------------------------*
+icc = 26
+ixc = 37 * coheof [A/m2]
+ixc = 38 * fjohc
+boundu(38) = 1.0
+coheof = 1.5E7
+fjohc = 0.6
+
+* Central solenoid BOP current density upper limit *
+*--------------------------------------------------*
+icc = 27
+ixc = 39 * fjohc0
+ixc = 41 * fcohbop
+boundu(39) = 1.0
+fjohc0 = 0.6
+fcohbop = 0.9
+
+* I_op/I_Crit TF coil limit *
+*---------------------------*
+icc = 33
+ixc = 50 * fiooic
+boundu(50) = 1.0
+fiooic = 0.65
+
+* Dump voltage upper limit *
+*--------------------------*
+icc = 34
+ixc = 51 * fvdump
+ixc = 52 * vdalw [kV]
+boundu(52) = 10.0
+fvdump = 1.0
+vdalw = 10.0
+
+* J_winding pack protection *
+*---------------------------*
+icc = 35 
+ixc = 53 * fjprot
+fjprot = 1.0
+
+* TF temp marg lower limit *
+*--------------------------*
+icc = 36
+ixc = 54 * ftmargtf
+* Minimum allowable temperature margin [K]
+tmargmin = 1.5
+
+* CS coil temp margin lower limit *
+*---------------------------------*
+icc = 60
+ixc = 106 * ftmargoh
+tmargmin_cs = 1.5
+
+* Lower limit on taup/taueff (ratio alpha particle/energy confinement times) *
+*-------------------------------------------------------------------------------*
+icc = 62 
+ixc = 110 * ftaulimit
+taulimit = 5.0
+
+* dump time constraint for VV stresses *
+*--------------------------------------*
+icc = 65
+ixc = 113 * fmaxvvstress
+fmaxvvstress = 1.0
+
+* CS stress limit *
+*-----------------*
+icc = 72
+ixc = 123 * foh_stress
+foh_stress = 1.0
+* allowable hoop stress in Central Solenoid structural material [Pa]
+alstroh = 7.5D8
+
+* neped<ne0 *
+*------------------*
+
+icc = 81
+ixc = 154 *fne0
+
+* PsepBt/qAR limit *
+*------------------*
+
+icc = 68
+ixc = 117 *fpsepbqar
+psepbqarmax = 10.0
+
+* TF coil stress limits *
+*-----------------------*
+
+icc = 31 * TF coil case stress upper limit
+ixc = 48 * fstrcase
+icc = 32 * TF coil conduit stress upper limit
+ixc = 49 * fstrcond
+sig_tf_case_max  = 7.5E8 * Allowable maximum shear stress in TF coil case (Tresca criterion) (Pa)
+sig_tf_wp_max    = 7.5E8 * Allowable maximum shear stress in TF coil conduit (Tresca criterion) (Pa)
+
+* Iteration Variables *
+***********************
+
+* bt [T]
+ixc = 2
+bt = 5.7
+
+* rmajor [m]
+ixc = 3
+boundl(3) = 8.0
+boundu(3) = 9.0
+rmajor = 8.0
+
+* te [keV]
+ixc = 4
+boundu(4) = 100.0
+te = 12.0
+
+* h factor
+ixc = 10
+boundu(10) = 1.2
+
+* tfcth [m]
+ixc = 13
+boundl(13) = 0.7
+tfcth = 1.2
+
+* ohcth [m]
+ixc = 16
+boundl(16) = 0.3
+ohcth = 0.5
+
+* q
+ixc = 18
+boundl(18) = 3.0
+q = 3.5
+
+* Machine bore [m]
+ixc = 29
+boundl(29) = 0.1
+bore = 2.0
+
+* fvsbrnni
+ixc = 44
+fvsbrnni = 0.4
+
+* tdmptf [s]
+ixc = 56
+tdmptf = 25.0
+
+* thkcas [m]
+ixc = 57
+thkcas = 0.5
+
+* TF coil conduit thickness [m]
+ixc = 58
+boundl(58) = 0.008
+thwcndut = 0.008
+
+* copper fraction of cable conductor (TF coils)
+ixc = 59 
+boundl(59) = 0.50
+boundu(59) = 0.94
+fcutfsu = 0.8
+
+* TF Current per turn [A]
+ixc = 60
+boundl(60) = 65000.0
+boundu(60) = 90000.0
+cpttf = 65000.0
+
+* Helium fraction (ralpne)
+ixc = 109
+boundu(109) = 0.1
+
+* CS steel fraction, oh_steel_frac
+ixc = 122
+oh_steel_frac = 0.8
+
+* core impurity fraction, Xenon
+ixc = 135
+fimp(13) = 0.00038
+
+* TF winding pack thickness [m]
+ixc = 140
+boundl(140) = 0.4
+dr_tf_wp = 0.5
+
+* Inputs *
+**********
+
+* radial build *
+****************
+
+* Thermal shield radial thickness [m]
+thshield_ib = 0.050
+thshield_ob = 0.050
+thshield_vb = 0.050
+
+* Gap between thermal shield and vacuum vessel [m]
+gapds = 0.02
+
+* Inboard vacuum vessel radial thickness [m]
+d_vv_in  = 0.3
+
+* Outboard vacuum vessel radial thickness [m]
+d_vv_out = 0.3
+
+* Topside vacuum vessel radial thickness [m]
+d_vv_top = 0.3
+
+* Underside vacuum vessel radial thickness [m]
+d_vv_bot = 0.3
+
+* Inboard vacuum vessel thickness [m]
+shldith = 0.3
+
+* Gap between vacuum vessel and blanket [m]
+vvblgap = 0.02
+
+* Inboard blanket radial thickness [m]
+blnkith = 0.7
+
+* Inboard scrape-off-layer radial thickness [m]
+scrapli = 0.25
+
+* Outboard scrape-off-layer radial thickness [m]
+scraplo = 0.25
+
+* Outboard blanket radial thickness [m]
+blnkoth = 1.0
+
+* Cryostat thickness [m]
+ddwex = 0.15 
+
+* Outboard shield thickness [m]
+shldoth = 0.800
+
+* Divertor structure vertical thickness [m]
+divfix = 0.62 
+
+* Coolant void fraction in shield
+vfshld = 0.60 
+
+* physics *
+***********
+
+* aspect ratio
+aspect = 3.0
+
+* H factor
+hfact = 1.1
+
+* Switch for plasma cross-sectional shape calc - use input kappa & triang
+ishape = 0 
+
+* Plasma elongation [-]
+kappa = 1.85
+
+* Plasma triangularity [-]
+triang = 0.5
+
+* Density profile index
+alphan = 1.00
+
+* Temperature profile index
+alphat = 1.45 
+
+* (troyon-like) coefficient for beta scaling
+dnbeta = 3.0
+
+* Zohm elongation scaling adjustment factor (ishape=2; 3)
+fkzohm = 1.02
+
+* Ejima coefficient for resistive startup V-s formula
+gamma = 0.3
+
+* Switch for bootstrap current scaling
+ibss = 4
+
+* Switch for beta limit scaling
+iculbl = 1
+
+* Switch for plasma current scaling
+icurr    = 4
+
+* Switch for density limit to enforce
+idensl = 7
+
+* Switch for fast alpha pressure calculation
+ifalphap = 1
+
+* Switch for inverse quadrature in l-mode scaling laws 5 and 9
+iinvqd = 1
+
+* Switch for pedestal profiles
+ipedestal = 1
+
+* fraction of Greenwald density to set as separatrix density
+fgwsep = 0.5
+
+* Electron density of pedestal [m-3] (ipedestal=1) - initial value
+neped = 0.5e20
+
+* Electron density at separatrix [m-3] (ipedestal=1) - initial value
+nesep = 0.2e20
+
+* R/a of density pedestal (ipedestal=1)
+rhopedn = 0.94
+
+* R/a of temperature pedestal (ipedestal=1)
+rhopedt = 0.94
+
+* Temperature profile index beta (ipedestal=1)
+tbeta = 2.0
+
+* Electron temperature of pedestal (kev) (ipedestal=1)
+teped = 5.5
+
+* Electron temperature at separatrix (kev) (ipedestal=1)
+tesep = 0.1
+
+* Switch for current profile consistency
+iprofile = 1
+
+* Switch for energy confinement time scaling law
+isc = 34
+
+* Safety factor on axis
+q0 = 1.0
+
+* Switch for single null / double null plasma
+i_single_null = 1
+
+* Synchrotron wall reflectivity factor
+ssync = 0.6
+
+* plasma resistivity pre-factor
+plasma_res_factor = 0.7
+
+* Timings *
+***********
+
+* Switch for reactor model - pulsed
+lpulse = 1
+
+* dwell time [s]
+tdwell = 1800.0
+
+* Switch for pulse timing calculations
+pulsetimings = 0
+
+* CS ramp up time [s]
+tramp = 500.0
+
+* Current drive *
+*---------------*
+
+* Maximum fraction of plasma current from bootstrap
+bscfmax = 0.95
+
+* Switch for current drive efficiency model
+iefrf = 10
+
+* ECRH gamma_CD (user input)
+gamma_ecrh = 0.30
+
+* ECRH wall-plug efficiency
+etaech = 0.5
+
+* Amount of injected power for heating [MW]
+pheat = 75.0
+
+* Impurity radiation *
+**********************
+
+* Normalised radius defining the 'core' region
+coreradius = 0.75
+
+* fraction of radiation from 'core' region that is subtracted
+coreradiationfraction = 0.6
+
+* impurity array
+fimp(1) = 0.9
+fimp(2) = 0.1
+fimp(3) = 0.0
+fimp(4) = 0.0
+fimp(5) = 0.0
+fimp(6) = 0.0
+fimp(7) = 0.0
+fimp(8) = 0.0
+fimp(9) = 0.0
+fimp(10) = 0.0
+fimp(11) = 0.0
+fimp(12) = 0.0
+fimp(13) = 0.00038
+fimp(14) = 0.000005
+
+* Heat transport *
+******************
+
+* Switch for power flow model
+ipowerflow = 0
+
+* Switch for pumping power for primary coolant
+primary_pumping = 3
+
+* Electrical efficiency of FW and blanket coolant pumps
+etahtp = 0.87
+
+* Isentropic efficiency of FW and blanket coolant pumps
+etaiso = 0.9
+
+* Switch for secondary cycle - User input thermal-electric efficiency
+secondary_cycle = 2
+
+* Thermal to electric conversion efficiency
+etath = 0.4
+
+* Switch for shield thermal power density
+iprimshld = 1
+
+* Nuclear heating switch
+inuclear = 1
+
+* Nuclear heating of cryogenic components (MW)
+qnuc = 1.3E4
+
+* Costs *
+*********
+
+* Switch off costs output
+output_costs = 1
+
+* Costs model switch
+cost_model = 0
+
+* Total plant availability fraction;
+cfactr = 0.80
+
+* Switch for plant availability model
+iavail = 0
+
+* PF Coils *
+************
+
+* Peak current per turn input for PF coil i [A]
+cptdin = 4.0d4, 4.0d4, 4.0d4, 4.0d4, 4.0d4, 4.0d4, 4.0d4, 4.0d4
+
+* Switch for locating scheme of pf coil group i
+ipfloc = 2,2,3,3
+
+* Switch for superconductor material in pf coils
+isumatpf = 3
+
+* Number of pf coils in group j
+ncls = 1,1,2,2
+
+* Number of groups of PF coils
+ngrp = 4
+
+* Central solenoid height / TF coil internal height
+ohhghf = 0.9
+
+* Average winding pack current density of PF coil i [A/m2]
+rjconpf  = 1.1d7, 1.1d7, 6.d6, 6.d6, 8.d6, 8.0d6, 8.0d6, 8.0d6
+
+* Offset of radial position of ipfloc=2 pf coils [m]
+rpf2 = -1.825 
+
+zref(1) = 3.6
+zref(2) = 1.2
+zref(3) = 1.0
+zref(4) = 2.8
+zref(5) = 1.0
+zref(6) = 1.0
+zref(7) = 1.0
+zref(8) = 1.0
+
+* copper fraction of strand in central solenoid cable
+fcuohsu = 0.70
+
+* ITER Nb3Sn parameterisation
+isumatoh = 1
+
+* TF Coil *
+***********
+
+* Inboard TF coil plasma-facing case thickness [m]
+casthi = 0.06
+
+* Inboard TF coil side-wall case thickness [m]
+casths = 0.05
+
+* Max allowable TF ripple at plasma edge [%]
+ripmax = 0.6
+
+* Number of TF coils
+n_tf = 16
+
+* Groundwall insulation thickness [m]
+tinstf = 0.008
+
+* Diameter if He channel in winding [m]
+dhecoil = 0.01
+
+* Helium coolant temperature [K]
+tftmp = 4.75
+
+* Coolant fraction of TF cable [-]
+vftf = 0.3
+
+* Conductor type switch (ITER Nb3Sn)
+i_tf_sc_mat = 1
+
+nsweep = 17 * bmxlim, maximum peak toroidal field 
+isweep = 11
+sweep = 11., 11.2, 11.4, 11.6, 11.8, 12., 12.2, 12.4, 12.6, 12.8, 13.
\ No newline at end of file
diff --git a/examples/csv_output.ipynb b/examples/csv_output.ipynb
index 43cbf183d3..f3cecf75d0 100644
--- a/examples/csv_output.ipynb
+++ b/examples/csv_output.ipynb
@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 1,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -37,16 +37,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Fetching list of variables from /home/rhicha/process/process/io/mfile_to_csv_vars.json\n",
-      "Reading from MFILE: /home/rhicha/process/tests/integration/data/baseline_2018_MFILE.DAT\n",
-      "Variable 'capcost' not in MFILE. Skipping and moving on...\n",
-      "Variable 'step2001' not in MFILE. Skipping and moving on...\n",
-      "Variable 'step2115' not in MFILE. Skipping and moving on...\n",
-      "Variable 'step2116' not in MFILE. Skipping and moving on...\n",
-      "Variable 'step2117' not in MFILE. Skipping and moving on...\n",
-      "Variable 'step2198' not in MFILE. Skipping and moving on...\n",
-      "Variable 'step2199' not in MFILE. Skipping and moving on...\n",
-      "Writing to csv file: /home/rhicha/process/tests/integration/data/baseline_2018_MFILE.csv\n",
+      "Fetching list of variables from /home/clair/development/PROCESS/process/io/mfile_to_csv_vars.json\n",
+      "Reading from MFILE: /home/clair/development/PROCESS/examples/csv_output_large_tokamak_MFILE.DAT\n",
+      "Writing to csv file: /home/clair/development/PROCESS/examples/csv_output_large_tokamak_MFILE.csv\n",
       "Complete.\n"
      ]
     }
@@ -60,7 +53,7 @@
     "proj_dir = Path.cwd().parent\n",
     "\n",
     "# Replace this path/to/MFILE.DAT with your target file:\n",
-    "mfilename = proj_dir / 'tests/integration/data/baseline_2018_MFILE.DAT'\n",
+    "mfilename = proj_dir / 'examples/csv_output_large_tokamak_MFILE.DAT'\n",
     "\n",
     "# Either replace this with your own path/to/file.json target, \n",
     "# or add your required variables into the identified file:\n",
@@ -72,6 +65,13 @@
     "# call to function:\n",
     "mfile_to_csv.main(args=[\"-f\", str(mfilename), \"-v\", str(varfilename)])\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -94,7 +94,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/examples/csv_output.py b/examples/csv_output.py
new file mode 100644
index 0000000000..cb0bb10198
--- /dev/null
+++ b/examples/csv_output.py
@@ -0,0 +1,39 @@
+# %% [markdown]
+# # Output to csv
+#
+# Routine to read from a PROCESS MFILE and write specified values into a csv.
+#
+# Input files:
+# - MFILE.DAT as output from PROCESS
+# - .json variable list as defined by user (defaults to local `mfile_to_csv_vars.json`)
+#
+# Instructions:
+# - from command line: `python mfile_to_csv.py -f </path/to/mfile.dat> -v </path/to/varfile.json>`
+# - from this Jupyter notebook: run the cell below
+#
+# Output file:
+# - .csv will be saved to the directory of the input file
+
+# %%
+from pathlib import Path
+from process.io import mfile_to_csv
+
+# Project directory for example result file and default .json list;
+# not needed if you replace both target filepaths below.
+proj_dir = Path.cwd().parent
+
+# Replace this path/to/MFILE.DAT with your target file:
+mfilename = proj_dir / "examples/csv_output_large_tokamak_MFILE.DAT"
+
+# Either replace this with your own path/to/file.json target,
+# or add your required variables into the identified file:
+varfilename = proj_dir / "process/io/mfile_to_csv_vars.json"
+# This routine attempts to find every variable in the given list and
+# writes the variable name, description and value to the output csv.
+# Any listed variable that isn't in that MFILE will be skipped.
+
+# call to function:
+mfile_to_csv.main(args=["-f", str(mfilename), "-v", str(varfilename)])
+
+
+# %%
diff --git a/examples/csv_output_large_tokamak_MFILE.DAT b/examples/csv_output_large_tokamak_MFILE.DAT
new file mode 100644
index 0000000000..afdf9c3afa
--- /dev/null
+++ b/examples/csv_output_large_tokamak_MFILE.DAT
@@ -0,0 +1,1807 @@
+ # PROCESS #
+ # Power Reactor Optimisation Code #
+ # PROCESS #
+ # Power Reactor Optimisation Code #
+ PROCESS_version_number__________________________________________________ (procver)_____________________     "2.4.0   R"
+ Date_of_run_____________________________________________________________ (date)________________________     "30/06/2023"
+ Time_of_run_____________________________________________________________ (time)________________________     "11:21"
+ User____________________________________________________________________ (username)____________________     "timothyn"
+ PROCESS_run_title_______________________________________________________ (runtitle)____________________     "Generic large tokamak                                                                              
+ PROCESS_tag_number______________________________________________________ (tagno)_______________________     "v2.4.0-1153-gdf5180f97"                                                                            
+ PROCESS_git_branch_name_________________________________________________ (branch_name)_________________     "vv_stress"                                                                                         
+ PROCESS_last_commit_message_____________________________________________ (commsg)______________________     "Small changes to the VV stress model"                                                              
+ Input_filename__________________________________________________________ (fileprefix)__________________     "/Users/timothynunn/process/tests/regression/scenarios/large-tokamak/IN.DAT                                                                                                                              "
+ # Numerics #
+ VMCON_error_flag________________________________________________________ (ifail)_______________________              1    
+ # PROCESS found a feasible solution #
+ Number_of_iteration_variables___________________________________________ (nvar)________________________             45    
+ Number_of_constraints_(total)___________________________________________ (neqns+nineqns)_______________             26    
+ Optimisation_switch_____________________________________________________ (ioptimz)_____________________              1    
+ Figure_of_merit_switch__________________________________________________ (minmax)______________________              1    
+ Square_root_of_the_sum_of_squares_of_the_constraint_residuals___________ (sqsumsq)_____________________      3.6555E-08 OP 
+ VMCON_convergence_parameter_____________________________________________ (convergence_parameter)_______      3.7075E-17 OP 
+ Normalised_objective_function___________________________________________ (norm_objf)___________________      1.6000E+00 OP 
+ Number_of_VMCON_iterations______________________________________________ (nviter)______________________             11 OP 
+ beta____________________________________________________________________ (itvar001)____________________      3.6055E-02    
+ beta_(final_value/initial_value)________________________________________ (xcm001)______________________      1.2018E+00    
+ beta_(range_normalised)_________________________________________________ (nitvar001)___________________      3.5090E-02    
+ dene____________________________________________________________________ (itvar002)____________________      8.0995E+19    
+ dene_(final_value/initial_value)________________________________________ (xcm002)______________________      1.0799E+00    
+ dene_(range_normalised)_________________________________________________ (nitvar002)___________________      7.1712E-02    
+ fwalld__________________________________________________________________ (itvar003)____________________      4.9896E-01    
+ fwalld_(final_value/initial_value)______________________________________ (xcm003)______________________      4.9896E-01    
+ fwalld_(range_normalised)_______________________________________________ (nitvar003)___________________      4.9846E-01    
+ ffuspow_________________________________________________________________ (itvar004)____________________      5.3088E-01    
+ ffuspow_(final_value/initial_value)_____________________________________ (xcm004)______________________      5.3088E-01    
+ ffuspow_(range_normalised)______________________________________________ (nitvar004)___________________      5.3041E-01    
+ ftburn__________________________________________________________________ (itvar005)____________________      1.0000E+00    
+ ftburn_(final_value/initial_value)______________________________________ (xcm005)______________________      1.0000E+00    
+ ftburn_(range_normalised)_______________________________________________ (nitvar005)___________________      1.0000E+00    
+ flhthresh_______________________________________________________________ (itvar006)____________________      1.6436E+00    
+ flhthresh_(final_value/initial_value)___________________________________ (xcm006)______________________      1.6436E+00    
+ flhthresh_(range_normalised)____________________________________________ (nitvar006)___________________      7.1515E-02    
+ fpinj___________________________________________________________________ (itvar007)____________________      3.7606E-01    
+ fpinj_(final_value/initial_value)_______________________________________ (xcm007)______________________      3.7606E-01    
+ fpinj_(range_normalised)________________________________________________ (nitvar007)___________________      3.7544E-01    
+ fpnetel_________________________________________________________________ (itvar008)____________________      1.0000E+00    
+ fpnetel_(final_value/initial_value)_____________________________________ (xcm008)______________________      1.0000E+00    
+ fpnetel_(range_normalised)______________________________________________ (nitvar008)___________________      1.0000E+00    
+ fbetatry________________________________________________________________ (itvar009)____________________      5.3636E-01    
+ fbetatry_(final_value/initial_value)____________________________________ (xcm009)______________________      1.0727E+00    
+ fbetatry_(range_normalised)_____________________________________________ (nitvar009)___________________      5.3589E-01    
+ fpeakb__________________________________________________________________ (itvar010)____________________      8.3188E-01    
+ fpeakb_(final_value/initial_value)______________________________________ (xcm010)______________________      8.3188E-01    
+ fpeakb_(range_normalised)_______________________________________________ (nitvar010)___________________      8.3171E-01    
+ coheof__________________________________________________________________ (itvar011)____________________      2.0066E+07    
+ coheof_(final_value/initial_value)______________________________________ (xcm011)______________________      1.3377E+00    
+ coheof_(range_normalised)_______________________________________________ (nitvar011)___________________      1.9986E-01    
+ fjohc___________________________________________________________________ (itvar012)____________________      4.7704E-01    
+ fjohc_(final_value/initial_value)_______________________________________ (xcm012)______________________      7.9506E-01    
+ fjohc_(range_normalised)________________________________________________ (nitvar012)___________________      4.7176E-01    
+ fjohc0__________________________________________________________________ (itvar013)____________________      5.6968E-01    
+ fjohc0_(final_value/initial_value)______________________________________ (xcm013)______________________      9.4947E-01    
+ fjohc0_(range_normalised)_______________________________________________ (nitvar013)___________________      5.6925E-01    
+ fcohbop_________________________________________________________________ (itvar014)____________________      9.8528E-01    
+ fcohbop_(final_value/initial_value)_____________________________________ (xcm014)______________________      1.0948E+00    
+ fcohbop_(range_normalised)______________________________________________ (nitvar014)___________________      9.8527E-01    
+ fiooic__________________________________________________________________ (itvar015)____________________      7.3084E-01    
+ fiooic_(final_value/initial_value)______________________________________ (xcm015)______________________      1.1244E+00    
+ fiooic_(range_normalised)_______________________________________________ (nitvar015)___________________      7.3057E-01    
+ fvdump__________________________________________________________________ (itvar016)____________________      9.3438E-01    
+ fvdump_(final_value/initial_value)______________________________________ (xcm016)______________________      9.3438E-01    
+ fvdump_(range_normalised)_______________________________________________ (nitvar016)___________________      9.3431E-01    
+ vdalw___________________________________________________________________ (itvar017)____________________      9.3438E+00    
+ vdalw_(final_value/initial_value)_______________________________________ (xcm017)______________________      9.3438E-01    
+ vdalw_(range_normalised)________________________________________________ (nitvar017)___________________      9.3437E-01    
+ fjprot__________________________________________________________________ (itvar018)____________________      1.0000E+00    
+ fjprot_(final_value/initial_value)______________________________________ (xcm018)______________________      1.0000E+00    
+ fjprot_(range_normalised)_______________________________________________ (nitvar018)___________________      1.0000E+00    
+ ftmargtf________________________________________________________________ (itvar019)____________________      9.9341E-01    
+ ftmargtf_(final_value/initial_value)____________________________________ (xcm019)______________________      9.9341E-01    
+ ftmargtf_(range_normalised)_____________________________________________ (nitvar019)___________________      9.9340E-01    
+ ftmargoh________________________________________________________________ (itvar020)____________________      1.0000E+00    
+ ftmargoh_(final_value/initial_value)____________________________________ (xcm020)______________________      1.0000E+00    
+ ftmargoh_(range_normalised)_____________________________________________ (nitvar020)___________________      1.0000E+00    
+ ftaulimit_______________________________________________________________ (itvar021)____________________      7.2549E-01    
+ ftaulimit_(final_value/initial_value)___________________________________ (xcm021)______________________      7.2549E-01    
+ ftaulimit_(range_normalised)____________________________________________ (nitvar021)___________________      7.2521E-01    
+ ftaucq__________________________________________________________________ (itvar022)____________________      9.1920E-01    
+ ftaucq_(final_value/initial_value)______________________________________ (xcm022)______________________      1.0213E+00    
+ ftaucq_(range_normalised)_______________________________________________ (nitvar022)___________________      9.1912E-01    
+ foh_stress______________________________________________________________ (itvar023)____________________      9.1989E-01    
+ foh_stress_(final_value/initial_value)__________________________________ (xcm023)______________________      9.1989E-01    
+ foh_stress_(range_normalised)___________________________________________ (nitvar023)___________________      9.1981E-01    
+ fne0____________________________________________________________________ (itvar024)____________________      5.9638E-01    
+ fne0_(final_value/initial_value)________________________________________ (xcm024)______________________      5.9638E-01    
+ fne0_(range_normalised)_________________________________________________ (nitvar024)___________________      5.9598E-01    
+ fpsepbqar_______________________________________________________________ (itvar025)____________________      9.5570E-01    
+ fpsepbqar_(final_value/initial_value)___________________________________ (xcm025)______________________      9.5570E-01    
+ fpsepbqar_(range_normalised)____________________________________________ (nitvar025)___________________      9.5566E-01    
+ fstrcase________________________________________________________________ (itvar026)____________________      1.0000E+00    
+ fstrcase_(final_value/initial_value)____________________________________ (xcm026)______________________      1.0000E+00    
+ fstrcase_(range_normalised)_____________________________________________ (nitvar026)___________________      1.0000E+00    
+ fstrcond________________________________________________________________ (itvar027)____________________      8.4877E-01    
+ fstrcond_(final_value/initial_value)____________________________________ (xcm027)______________________      8.4877E-01    
+ fstrcond_(range_normalised)_____________________________________________ (nitvar027)___________________      8.4862E-01    
+ bt______________________________________________________________________ (itvar028)____________________      5.0627E+00    
+ bt_(final_value/initial_value)__________________________________________ (xcm028)______________________      8.8820E-01    
+ bt_(range_normalised)___________________________________________________ (nitvar028)___________________      1.6848E-01    
+ rmajor__________________________________________________________________ (itvar029)____________________      8.0000E+00    
+ rmajor_(final_value/initial_value)______________________________________ (xcm029)______________________      1.0000E+00    
+ rmajor_(range_normalised)_______________________________________________ (nitvar029)___________________      0.0000E+00    
+ te______________________________________________________________________ (itvar030)____________________      1.2238E+01    
+ te_(final_value/initial_value)__________________________________________ (xcm030)______________________      1.0198E+00    
+ te_(range_normalised)___________________________________________________ (nitvar030)___________________      7.1249E-02    
+ hfact___________________________________________________________________ (itvar031)____________________      1.1808E+00    
+ hfact_(final_value/initial_value)_______________________________________ (xcm031)______________________      1.0734E+00    
+ hfact_(range_normalised)________________________________________________ (nitvar031)___________________      9.8250E-01    
+ tfcth___________________________________________________________________ (itvar032)____________________      1.2000E+00    
+ tfcth_(final_value/initial_value)_______________________________________ (xcm032)______________________      1.0000E+00    
+ tfcth_(range_normalised)________________________________________________ (nitvar032)___________________      1.1628E-01    
+ ohcth___________________________________________________________________ (itvar033)____________________      5.5551E-01    
+ ohcth_(final_value/initial_value)_______________________________________ (xcm033)______________________      1.1110E+00    
+ ohcth_(range_normalised)________________________________________________ (nitvar033)___________________      2.6342E-02    
+ q_______________________________________________________________________ (itvar034)____________________      3.4251E+00    
+ q_(final_value/initial_value)___________________________________________ (xcm034)______________________      9.7860E-01    
+ q_(range_normalised)____________________________________________________ (nitvar034)___________________      9.0450E-03    
+ bore____________________________________________________________________ (itvar035)____________________      2.0588E+00    
+ bore_(final_value/initial_value)________________________________________ (xcm035)______________________      1.0294E+00    
+ bore_(range_normalised)_________________________________________________ (nitvar035)___________________      1.9786E-01    
+ fvsbrnni________________________________________________________________ (itvar036)____________________      4.1495E-01    
+ fvsbrnni_(final_value/initial_value)____________________________________ (xcm036)______________________      1.0374E+00    
+ fvsbrnni_(range_normalised)_____________________________________________ (nitvar036)___________________      4.1437E-01    
+ tdmptf__________________________________________________________________ (itvar037)____________________      1.9607E+01    
+ tdmptf_(final_value/initial_value)______________________________________ (xcm037)______________________      7.8427E-01    
+ tdmptf_(range_normalised)_______________________________________________ (nitvar037)___________________      1.9526E-01    
+ thkcas__________________________________________________________________ (itvar038)____________________      2.2965E-01    
+ thkcas_(final_value/initial_value)______________________________________ (xcm038)______________________      4.5931E-01    
+ thkcas_(range_normalised)_______________________________________________ (nitvar038)___________________      1.8911E-01    
+ thwcndut________________________________________________________________ (itvar039)____________________      8.0000E-03    
+ thwcndut_(final_value/initial_value)____________________________________ (xcm039)______________________      1.0000E+00    
+ thwcndut_(range_normalised)_____________________________________________ (nitvar039)___________________      0.0000E+00    
+ fcutfsu_________________________________________________________________ (itvar040)____________________      8.6211E-01    
+ fcutfsu_(final_value/initial_value)_____________________________________ (xcm040)______________________      1.0776E+00    
+ fcutfsu_(range_normalised)______________________________________________ (nitvar040)___________________      8.2299E-01    
+ cpttf___________________________________________________________________ (itvar041)____________________      8.0573E+04    
+ cpttf_(final_value/initial_value)_______________________________________ (xcm041)______________________      1.2396E+00    
+ cpttf_(range_normalised)________________________________________________ (nitvar041)___________________      6.2291E-01    
+ ralpne__________________________________________________________________ (itvar042)____________________      8.2363E-02    
+ ralpne_(final_value/initial_value)______________________________________ (xcm042)______________________      8.2363E-01    
+ ralpne_(range_normalised)_______________________________________________ (nitvar042)___________________      6.4725E-01    
+ oh_steel_frac___________________________________________________________ (itvar043)____________________      5.3310E-01    
+ oh_steel_frac_(final_value/initial_value)_______________________________ (xcm043)______________________      6.6637E-01    
+ oh_steel_frac_(range_normalised)________________________________________ (nitvar043)___________________      5.6069E-01    
+ fimp(13)________________________________________________________________ (itvar044)____________________      5.6323E-04    
+ fimp(13)_(final_value/initial_value)____________________________________ (xcm044)______________________      1.4822E+00    
+ fimp(13)_(range_normalised)_____________________________________________ (nitvar044)___________________      5.6322E-02    
+ dr_tf_wp________________________________________________________________ (itvar045)____________________      5.0550E-01    
+ dr_tf_wp_(final_value/initial_value)____________________________________ (xcm045)______________________      1.0110E+00    
+ dr_tf_wp_(range_normalised)_____________________________________________ (nitvar045)___________________      6.5940E-02    
+ Beta_consistency__________________normalised_residue____________________ (normres001)__________________     -3.7854E-12    
+ Global_power_balance_consistency__normalised_residue____________________ (normres002)__________________      1.6275E-09    
+ Radial_build_consistency__________normalised_residue____________________ (normres003)__________________     -6.6613E-16    
+ Density_upper_limit_______________normalised_residue____________________ (normres004)__________________      1.8163E-13    
+ Neutron_wall_load_upper_limit_____normalised_residue____________________ (normres005)__________________      3.2079E-11    
+ Fusion_power_upper_limit__________normalised_residue____________________ (normres006)__________________      3.2079E-11    
+ Burn_time_lower_limit_____________normalised_residue____________________ (normres007)__________________     -1.1697E-05    
+ L-H_power_threshold_limit_________normalised_residue____________________ (normres008)__________________     -1.2914E-08    
+ Injection_power_upper_limit_______normalised_residue____________________ (normres009)__________________     -2.6298E-08    
+ Net_electric_power_lower_limit____normalised_residue____________________ (normres010)__________________      1.4277E-07    
+ Beta_upper_limit__________________normalised_residue____________________ (normres011)__________________     -4.7070E-12    
+ Peak_toroidal_field_upper_limit___normalised_residue____________________ (normres012)__________________      8.3267E-14    
+ CS_coil_EOF_current_density_limit_normalised_residue____________________ (normres013)__________________     -9.6190E-13    
+ CS_coil_BOP_current_density_limit_normalised_residue____________________ (normres014)__________________     -1.1113E-12    
+ I_op_/_I_critical_(TF_coil)_______normalised_residue____________________ (normres015)__________________      6.9611E-13    
+ Dump_voltage_upper_limit__________normalised_residue____________________ (normres016)__________________     -3.0620E-13    
+ J_winding_pack/J_protection_limit_normalised_residue____________________ (normres017)__________________      2.0761E-13    
+ TF_coil_temp._margin_lower_limit__normalised_residue____________________ (normres018)__________________     -1.2975E-12    
+ CS_temperature_margin_lower_limit_normalised_residue____________________ (normres019)__________________     -0.0000E+00    
+ taup/taueff_______________________normalised_residue____________________ (normres020)__________________     -4.7055E-09    
+ Dump_time_set_by_VV_stress________normalised_residue____________________ (normres021)__________________      3.0487E-13    
+ CS_Tresca_yield_criterion_________normalised_residue____________________ (normres022)__________________     -4.9472E-13    
+ ne0_>_neped_______________________normalised_residue____________________ (normres023)__________________      1.2901E-13    
+ Upper_Lim._on_Psep_*_Bt_/_q_A_R___normalised_residue____________________ (normres024)__________________      1.2885E-08    
+ TF_coil_case_stress_upper_limit___normalised_residue____________________ (normres025)__________________      2.7156E-13    
+ TF_coil_conduit_stress_upper_lim__normalised_residue____________________ (normres026)__________________      2.6334E-13    
+ # Final Feasible Point #
+ # Power Reactor Costs (1990 US$) #
+ First_wall_/_blanket_life_(years)_______________________________________ (fwbllife)____________________      6.2630E+00    
+ Divertor_life_(years)___________________________________________________ (divlife.)____________________      4.7579E+00    
+ Cost_of_electricity_(m$/kWh)____________________________________________ (coe)_________________________      5.0303E+02    
+ # Detailed Costings (1990 US$) #
+ Acc.22_multiplier_for_Nth_of_a_kind_____________________________________ (fkind)_______________________      1.0000E+00    
+ Level_of_Safety_Assurance_______________________________________________ (lsa)_________________________              4    
+ # Structures and Site Facilities #
+ Site_improvements,_facilities,_land_(M$)________________________________ (c211)________________________      3.5200E+01    
+ Reactor_building_cost_(M$)______________________________________________ (c212)________________________      4.4905E+02    
+ Turbine_building_cost_(M$)______________________________________________ (c213)________________________      3.8000E+01    
+ Reactor_maintenance_building_cost_(M$)__________________________________ (c2141)_______________________      1.0307E+02    
+ Warm_shop_cost_(M$)_____________________________________________________ (c2142)_______________________      5.7641E+01    
+ Tritium_building_cost_(M$)______________________________________________ (c215)________________________      1.4800E+01    
+ Electrical_equipment_building_cost_(M$)_________________________________ (c216)________________________      1.9338E+01    
+ Additional_buildings_cost_(M$)__________________________________________ (c2171)_______________________      1.8000E+01    
+ Control_room_buildings_cost_(M$)________________________________________ (c2172)_______________________      2.1000E+01    
+ Shop_and_warehouses_cost_(M$)___________________________________________ (c2173)_______________________      1.1500E+01    
+ Cryogenic_building_cost_(M$)____________________________________________ (c2174)_______________________      6.7114E+00    
+ Total_account_21_cost_(M$)______________________________________________ (c21)_________________________      7.7431E+02    
+ # Reactor Systems #
+ First_wall_cost_(M$)____________________________________________________ (c2211)_______________________      1.9130E+02    
+ Blanket_beryllium_cost_(M$)_____________________________________________ (c22121)______________________      2.6109E+02    
+ Blanket_breeder_material_cost_(M$)______________________________________ (c22122)______________________      6.3985E+02    
+ Blanket_stainless_steel_cost_(M$)_______________________________________ (c22123)______________________      8.0726E+01    
+ Blanket_vanadium_cost_(M$)______________________________________________ (c22124)______________________      0.0000E+00    
+ Blanket_total_cost_(M$)_________________________________________________ (c2212)_______________________      9.8166E+02    
+ Bulk_shield_cost_(M$)___________________________________________________ (c22131)______________________      7.8394E+01    
+ Penetration_shielding_cost_(M$)_________________________________________ (c22132)______________________      7.8394E+01    
+ Total_shield_cost_(M$)__________________________________________________ (c2213)_______________________      1.5679E+02    
+ Total_support_structure_cost_(M$)_______________________________________ (c2214)_______________________      3.9599E+01    
+ Divertor_cost_(M$)______________________________________________________ (c2215)_______________________      4.1660E+01    
+ Total_account_221_cost_(M$)_____________________________________________ (c221)________________________      1.4110E+03    
+ # Magnets #
+ TF_coil_conductor_cost_(M$)_____________________________________________ (c22211)______________________      1.1908E+02    
+ TF_coil_winding_cost_(M$)_______________________________________________ (c22212)______________________      5.7685E+01    
+ TF_coil_case_cost_(M$)__________________________________________________ (c22213)______________________      3.9778E+02    
+ TF_intercoil_structure_cost_(M$)________________________________________ (c22214)______________________      1.4196E+02    
+ TF_coil_gravity_support_structure_(M$)__________________________________ (c22215)______________________      4.3172E+01    
+ TF_magnet_assemblies_cost_(M$)__________________________________________ (c2221)_______________________      7.5968E+02    
+ PF_coil_conductor_cost_(M$)_____________________________________________ (c22221)______________________      4.6338E+02    
+ PF_coil_winding_cost_(M$)_______________________________________________ (c22222)______________________      7.6727E+01    
+ PF_coil_case_cost_(M$)__________________________________________________ (c22223)______________________      9.6937E+01    
+ PF_coil_support_structure_cost_(M$)_____________________________________ (c22224)______________________      8.0889E+00    
+ PF_magnet_assemblies_cost_(M$)__________________________________________ (c2222)_______________________      6.4514E+02    
+ Vacuum_vessel_assembly_cost_(M$)________________________________________ (c2223)_______________________      2.5404E+02    
+ Total_account_222_cost_(M$)_____________________________________________ (c222)________________________      1.6589E+03    
+ # Power Injection #
+ ECH_system_cost_(M$)____________________________________________________ (c2231)_______________________      2.2564E+02    
+ Lower_hybrid_system_cost_(M$)___________________________________________ (c2232)_______________________      0.0000E+00    
+ Neutral_beam_system_cost_(M$)___________________________________________ (c2233)_______________________      0.0000E+00    
+ Total_account_223_cost_(M$)_____________________________________________ (c223)________________________      2.2564E+02    
+ # Vacuum Systems #
+ High_vacuum_pumps_cost_(M$)_____________________________________________ (c2241)_______________________      1.2480E+01    
+ Backing_pumps_cost_(M$)_________________________________________________ (c2242)_______________________      4.6800E+00    
+ Vacuum_duct_cost_(M$)___________________________________________________ (c2243)_______________________      2.5133E+00    
+ Valves_cost_(M$)________________________________________________________ (c2244)_______________________      5.7355E+00    
+ Duct_shielding_cost_(M$)________________________________________________ (c2245)_______________________      0.0000E+00    
+ Instrumentation_cost_(M$)_______________________________________________ (c2246)_______________________      1.3000E+00    
+ Total_account_224_cost_(M$)_____________________________________________ (c224)________________________      2.6709E+01    
+ # Power Conditioning #
+ TF_coil_power_supplies_cost_(M$)________________________________________ (c22511)______________________      3.7398E+00    
+ TF_coil_breakers_cost_(M$)______________________________________________ (c22512)______________________      3.0527E+01    
+ TF_coil_dump_resistors_cost_(M$)________________________________________ (c22513)______________________      1.9349E+01    
+ TF_coil_instrumentation_and_control_(M$)________________________________ (c22514)______________________      4.8000E+00    
+ TF_coil_bussing_cost_(M$)_______________________________________________ (c22515)______________________      3.1645E+01    
+ Total,_TF_coil_power_costs_(M$)_________________________________________ (c2251)_______________________      9.0061E+01    
+ PF_coil_power_supplies_cost_(M$)________________________________________ (c22521)______________________      2.6080E+00    
+ PF_coil_instrumentation_and_control_(M$)________________________________ (c22522)______________________      3.6000E+00    
+ PF_coil_bussing_cost_(M$)_______________________________________________ (c22523)______________________      1.1995E+01    
+ PF_coil_burn_power_supplies_cost_(M$)___________________________________ (c22524)______________________      1.2675E+00    
+ PF_coil_breakers_cost_(M$)______________________________________________ (c22525)______________________      1.4709E+01    
+ PF_coil_dump_resistors_cost_(M$)________________________________________ (c22526)______________________      4.2001E+00    
+ PF_coil_ac_breakers_cost_(M$)___________________________________________ (c22527)______________________      9.0000E-01    
+ Total,_PF_coil_power_costs_(M$)_________________________________________ (c2252)_______________________      3.9280E+01    
+ Total,_energy_storage_cost_(M$)_________________________________________ (c2253)_______________________      1.6864E+01    
+ Total_account_225_cost_(M$)_____________________________________________ (c225)________________________      1.4621E+02    
+ # Heat Transport System #
+ Pumps_and_piping_system_cost_(M$)_______________________________________ (cpp)_________________________      3.6356E+01    
+ Primary_heat_exchanger_cost_(M$)________________________________________ (chx)_________________________      7.0758E+01    
+ Total,_reactor_cooling_system_cost_(M$)_________________________________ (c2261)_______________________      1.0711E+02    
+ Pumps,_piping_cost_(M$)_________________________________________________ (cppa)________________________      2.7713E+01    
+ Total,_auxiliary_cooling_system_cost_(M$)_______________________________ (c2262)_______________________      2.7713E+01    
+ Total,_cryogenic_system_cost_(M$)_______________________________________ (c2263)_______________________      1.6452E+02    
+ Total_account_226_cost_(M$)_____________________________________________ (c226)________________________      2.9935E+02    
+ # Fuel Handling System #
+ Fuelling_system_cost_(M$)_______________________________________________ (c2271)_______________________      2.2300E+01    
+ Fuel_processing_and_purification_cost_(M$)______________________________ (c2272)_______________________      1.0137E+02    
+ Atmospheric_recovery_systems_cost_(M$)__________________________________ (c2273)_______________________      5.7691E+01    
+ Nuclear_building_ventilation_cost_(M$)__________________________________ (c2274)_______________________      6.8823E+01    
+ Total_account_227_cost_(M$)_____________________________________________ (c227)________________________      2.5019E+02    
+ # Instrumentation and Control #
+ Instrumentation_and_control_cost_(M$)___________________________________ (c228)________________________      1.5000E+02    
+ # Maintenance Equipment #
+ Maintenance_equipment_cost_(M$)_________________________________________ (c229)________________________      1.2500E+02    
+ # Total Account 22 Cost #
+ Total_account_22_cost_(M$)______________________________________________ (c22)_________________________      4.2930E+03    
+ # Turbine Plant Equipment #
+ Turbine_plant_equipment_cost_(M$)_______________________________________ (c23)_________________________      1.7341E+02    
+ # Electric Plant Equipment #
+ Switchyard_equipment_cost_(M$)__________________________________________ (c241)________________________      1.8400E+01    
+ Transformers_cost_(M$)__________________________________________________ (c242)________________________      7.7268E+00    
+ Low_voltage_equipment_cost_(M$)_________________________________________ (c243)________________________      6.2652E+00    
+ Diesel_backup_equipment_cost_(M$)_______________________________________ (c244)________________________      6.8000E+00    
+ Auxiliary_facilities_cost_(M$)__________________________________________ (c245)________________________      1.5000E+00    
+ Total_account_24_cost_(M$)______________________________________________ (c24)_________________________      4.0692E+01    
+ # Miscellaneous Plant Equipment #
+ Miscellaneous_plant_equipment_cost_(M$)_________________________________ (c25)_________________________      2.5000E+01    
+ # Heat Rejection System #
+ Heat_rejection_system_cost_(M$)_________________________________________ (c26)_________________________      4.8951E+01    
+ # Plant Direct Cost #
+ Plant_direct_cost_(M$)__________________________________________________ (cdirt)_______________________      5.3553E+03    
+ # Reactor Core Cost #
+ Reactor_core_cost_(M$)__________________________________________________ (crctcore)____________________      3.2955E+03    
+ # Indirect Cost #
+ Indirect_cost_(M$)______________________________________________________ (c9)__________________________      1.7860E+03    
+ # Total Contingency #
+ Total_contingency_(M$)__________________________________________________ (ccont)_______________________      1.3926E+03    
+ # Constructed Cost #
+ Constructed_cost_(M$)___________________________________________________ (concost)_____________________      8.5339E+03    
+ # Interest during Construction #
+ Interest_during_construction_(M$)_______________________________________ (moneyint)____________________      1.4081E+03    
+ # Total Capital Investment #
+ Total_capital_investment_(M$)___________________________________________ (capcost)_____________________      9.9420E+03    
+ # Plant Availability #
+ Allowable_blanket_neutron_fluence_(MW-yr/m2)____________________________ (abktflnc)____________________      5.0000E+00    
+ Allowable_divertor_heat_fluence_(MW-yr/m2)______________________________ (adivflnc)____________________      7.0000E+00    
+ First_wall_/_blanket_lifetime_(years)___________________________________ (bktlife)_____________________      6.2630E+00 OP 
+ Divertor_lifetime_(years)_______________________________________________ (divlife)_____________________      4.7579E+00 OP 
+ Heating/CD_system_lifetime_(years)______________________________________ (cdrlife)_____________________      6.2630E+00 OP 
+ Total_plant_lifetime_(years)____________________________________________ (tlife)_______________________      3.0000E+01    
+ Total_plant_availability_fraction_______________________________________ (cfactr)______________________      8.0000E-01    
+ Number_of_fusion_cycles_to_reach_allowable_fw/blanket_DPA_______________ (bktcycles)___________________      1.6063E+04    
+ # Plasma #
+ Tokamak_aspect_ratio_=_Conventional,_itart_=_0__________________________ (itart)_______________________      0.0000E+00    
+ Major_radius_(m)________________________________________________________ (rmajor)______________________      8.0000E+00 ITV
+ Minor_radius_(m)________________________________________________________ (rminor)______________________      2.6667E+00    
+ Aspect_ratio____________________________________________________________ (aspect)______________________      3.0000E+00    
+ Elongation,_X-point_(input_value_used)__________________________________ (kappa)_______________________      1.8500E+00    
+ Elongation,_95%_surface_(calculated_from_kappa)_________________________ (kappa95)_____________________      1.6518E+00    
+ Elongation,_area_ratio_calc.____________________________________________ (kappaa)______________________      1.7188E+00    
+ Triangularity,_X-point_(input_value_used)_______________________________ (triang)______________________      5.0000E-01    
+ Triangularity,_95%_surface_(calculated_from_triang)_____________________ (triang95)____________________      3.3333E-01    
+ Plasma_poloidal_perimeter_(m)___________________________________________ (pperim)______________________      2.4081E+01    
+ Plasma_cross-sectional_area_(m2)________________________________________ (xarea)_______________________      3.8398E+01    
+ Plasma_surface_area_(m2)________________________________________________ (sarea)_______________________      1.1738E+03 OP 
+ Plasma_volume_(m3)______________________________________________________ (vol)_________________________      1.8882E+03 OP 
+ Plasma_current_scaling_law_used_________________________________________ (icurr)_______________________              4    
+ Plasma_current_(MA)_____________________________________________________ (plascur/1D6)_________________      1.6699E+01    
+ Current_density_profile_factor__________________________________________ (alphaj)______________________      1.8387E+00    
+ Plasma_internal_inductance,_li__________________________________________ (rli)_________________________      1.1898E+00    
+ Vertical_field_at_plasma_(T)____________________________________________ (bvert)_______________________     -7.3601E-01    
+ Vacuum_toroidal_field_at_R_(T)__________________________________________ (bt)__________________________      5.0627E+00 ITV
+ Average_poloidal_field_(T)______________________________________________ (bp)__________________________      8.7139E-01    
+ Total_field_(sqrt(bp^2_+_bt^2))_(T)_____________________________________ (btot)________________________      5.1372E+00    
+ Safety_factor_on_axis___________________________________________________ (q0)__________________________      1.0000E+00    
+ Safety_factor_at_95%_flux_surface_______________________________________ (q95)_________________________      3.4251E+00 ITV
+ Cylindrical_safety_factor_(qcyl)________________________________________ (qstar)_______________________      2.8387E+00    
+ Total_plasma_beta_______________________________________________________ (beta)________________________      3.6055E-02 ITV
+ Total_poloidal_beta_____________________________________________________ (betap)_______________________      1.2531E+00 OP 
+ Total_toroidal_beta_____________________________________________________ ______________________________      3.7123E-02 OP 
+ Fast_alpha_beta_________________________________________________________ (betaft)______________________      4.4814E-03 OP 
+ Beam_ion_beta___________________________________________________________ (betanb)______________________      0.0000E+00 OP 
+ (Fast_alpha_+_beam_beta)/(thermal_beta)_________________________________ (gammaft)_____________________      1.4194E-01 OP 
+ Thermal_beta____________________________________________________________ ______________________________      3.1574E-02 OP 
+ Thermal_poloidal_beta___________________________________________________ ______________________________      1.0974E+00 OP 
+ Thermal_toroidal_beta_(=_beta-exp)______________________________________ ______________________________      3.2509E-02 OP 
+ 2nd_stability_beta_:_beta_p_/_(R/a)_____________________________________ (eps*betap)___________________      4.1770E-01    
+ 2nd_stability_beta_upper_limit__________________________________________ (epbetmax)____________________      1.3800E+00    
+ Beta_g_coefficient______________________________________________________ (dnbeta)______________________      4.7593E+00    
+ Normalised_thermal_beta_________________________________________________ ______________________________      2.5527E+00    
+ Normalised_total_beta___________________________________________________ ______________________________      2.9150E+00    
+ Normalised_toroidal_beta________________________________________________ (normalised_toroidal_beta)____      3.0013E+00    
+ Limit_on_thermal_beta___________________________________________________ (betalim)_____________________      5.8867E-02    
+ Plasma_thermal_energy_(J)_______________________________________________ ______________________________      9.3900E+08 OP 
+ Total_plasma_internal_energy_(J)________________________________________ (total_plasma_internal_energy)      1.0723E+09 OP 
+ Electron_temperature_(keV)______________________________________________ (te)__________________________      1.2238E+01 ITV
+ Electron_temperature_on_axis_(keV)______________________________________ (te0)_________________________      2.5063E+01    
+ Ion_temperature_(keV)___________________________________________________ (ti)__________________________      1.2238E+01    
+ Ion_temperature_on_axis_(keV)___________________________________________ (ti0)_________________________      2.5063E+01    
+ Electron_temp.,_density_weighted_(keV)__________________________________ (ten)_________________________      1.3514E+01    
+ Electron_density_(/m3)__________________________________________________ (dene)________________________      8.0995E+19 ITV
+ Electron_density_on_axis_(/m3)__________________________________________ (ne0)_________________________      1.0654E+20 OP 
+ Line-averaged_electron_density_(/m3)____________________________________ (dnla)________________________      8.9697E+19 OP 
+ Line-averaged_electron_density_/_Greenwald_density______________________ (dnla_gw)_____________________      1.2000E+00 OP 
+ Ion_density_(/m3)_______________________________________________________ (dnitot)______________________      7.2127E+19 OP 
+ Fuel_density_(/m3)______________________________________________________ (deni)________________________      6.5392E+19 OP 
+ Total_impurity_density_with_Z_>_2_(no_He)_(/m3)_________________________ (dnz)_________________________      4.6024E+16 OP 
+ Helium_ion_density_(thermalised_ions_only)_(/m3)________________________ (dnalp)_______________________      6.6709E+18 OP 
+ Proton_density_(/m3)____________________________________________________ (dnprot)______________________      1.8502E+16 OP 
+ Hot_beam_density_(/m3)__________________________________________________ (dnbeam)______________________      0.0000E+00 OP 
+ Density_limit_from_scaling_(/m3)________________________________________ (dnelimt)_____________________      7.4748E+19 OP 
+ Density_limit_(enforced)_(/m3)__________________________________________ (boundu(9)*dnelimt)___________      7.4748E+19 OP 
+ Helium_ion_density_(thermalised_ions_only)_/_electron_density___________ (ralpne)______________________      8.2363E-02 ITV
+ H__concentration________________________________________________________ (fimp(01))____________________      8.0759E-01 OP 
+ He_concentration________________________________________________________ (fimp(02))____________________      8.2363E-02    
+ Be_concentration________________________________________________________ (fimp(03))____________________      0.0000E+00    
+ C__concentration________________________________________________________ (fimp(04))____________________      0.0000E+00    
+ N__concentration________________________________________________________ (fimp(05))____________________      0.0000E+00    
+ O__concentration________________________________________________________ (fimp(06))____________________      0.0000E+00    
+ Ne_concentration________________________________________________________ (fimp(07))____________________      0.0000E+00    
+ Si_concentration________________________________________________________ (fimp(08))____________________      0.0000E+00    
+ Ar_concentration________________________________________________________ (fimp(09))____________________      0.0000E+00    
+ Fe_concentration________________________________________________________ (fimp(10))____________________      0.0000E+00    
+ Ni_concentration________________________________________________________ (fimp(11))____________________      0.0000E+00    
+ Kr_concentration________________________________________________________ (fimp(12))____________________      0.0000E+00    
+ Xe_concentration________________________________________________________ (fimp(13))____________________      5.6323E-04    
+ W__concentration________________________________________________________ (fimp(14))____________________      5.0000E-06    
+ Average_mass_of_all_ions_(amu)__________________________________________ (aion)________________________      2.7208E+00 OP 
+ Effective_charge________________________________________________________ (zeff)________________________      2.4867E+00    
+ Density_profile_factor__________________________________________________ (alphan)______________________      1.0000E+00    
+ Plasma_profile_model____________________________________________________ (ipedestal)___________________              1    
+ Density_pedestal_r/a_location___________________________________________ (rhopedn)_____________________      9.4000E-01    
+ Electron_density_pedestal_height_(/m3)__________________________________ (neped)_______________________      6.3536E+19 OP 
+ Electron_density_at_pedestal_/_nGW______________________________________ (fgwped_out)__________________      8.5000E-01    
+ Temperature_pedestal_r/a_location_______________________________________ (rhopedt)_____________________      9.4000E-01    
+ Pedestal_scaling_switch_________________________________________________ (ieped)_______________________              0    
+ Electron_temp._pedestal_height_(keV)____________________________________ (teped)_______________________      5.5000E+00    
+ Electron_temp._at_separatrix_(keV)______________________________________ (tesep)_______________________      1.0000E-01    
+ Electron_density_at_separatrix_(/m3)____________________________________ (nesep)_______________________      3.7374E+19    
+ Electron_density_at_separatrix_/_nGW____________________________________ (fgwsep_out)__________________      5.0000E-01    
+ Temperature_profile_index_______________________________________________ (alphat)______________________      1.4500E+00    
+ Temperature_profile_index_beta__________________________________________ (tbeta)_______________________      2.0000E+00    
+ Old_ASDEX_model_________________________________________________________ (dlimit(1))___________________      5.2107E+19 OP 
+ Borrass_ITER_model_I____________________________________________________ (dlimit(2))___________________      1.0653E+20 OP 
+ Borrass_ITER_model_II___________________________________________________ (dlimit(3))___________________      4.1967E+19 OP 
+ JET_edge_radiation_model________________________________________________ (dlimit(4))___________________      3.0404E+21 OP 
+ JET_simplified_model____________________________________________________ (dlimit(5))___________________      4.0490E+20 OP 
+ Hugill-Murakami_Mq_model________________________________________________ (dlimit(6))___________________      6.6879E+19 OP 
+ Greenwald_model_________________________________________________________ (dlimit(7))___________________      7.4748E+19 OP 
+ Deuterium_fuel_fraction_________________________________________________ (fdeut)_______________________      5.0000E-01    
+ Tritium_fuel_fraction___________________________________________________ (ftrit)_______________________      5.0000E-01    
+ Total_fusion_power_(MW)_________________________________________________ (powfmw)______________________      1.5926E+03 OP 
+ _=____D-T_fusion_power_(MW)_____________________________________________ (pdt)_________________________      1.5907E+03 OP 
+ __+___D-D_fusion_power_(MW)_____________________________________________ (pdd)_________________________      1.8966E+00 OP 
+ __+_D-He3_fusion_power_(MW)_____________________________________________ (pdhe3)_______________________      0.0000E+00 OP 
+ Alpha_power:_total_(MW)_________________________________________________ (palpmw)______________________      3.1815E+02 OP 
+ Alpha_power:_beam-plasma_(MW)___________________________________________ (palpnb)______________________      0.0000E+00 OP 
+ Neutron_power_(MW)______________________________________________________ (pneutmw)_____________________      1.2733E+03 OP 
+ Charged_particle_power_(excluding_alphas)_(MW)__________________________ (pchargemw)___________________      1.2322E+00 OP 
+ Total_power_deposited_in_plasma_(MW)____________________________________ (tot_power_plasma)____________      3.7935E+02 OP 
+ Bremsstrahlung_radiation_power_(MW)_____________________________________ (pbrempv*vol)_________________      6.4356E+01 OP 
+ Line_radiation_power_(MW)_______________________________________________ (plinepv*vol)_________________      1.4715E+02 OP 
+ Synchrotron_radiation_power_(MW)________________________________________ (psyncpv*vol)_________________      1.2665E+01 OP 
+ Synchrotron_wall_reflectivity_factor____________________________________ (ssync)_______________________      6.0000E-01    
+ Normalised_minor_radius_defining_'core'_________________________________ (coreradius)__________________      7.5000E-01    
+ Fraction_of_core_radiation_subtracted_from_P_L__________________________ (coreradiationfraction)_______      6.0000E-01    
+ Radiation_power_from_inner_zone_(MW)____________________________________ (pinnerzoneradmw)_____________      8.9376E+01 OP 
+ Radiation_power_from_outer_zone_(MW)____________________________________ (pouterzoneradmw)_____________      1.3480E+02 OP 
+ SOL_radiation_power_as_imposed_by_f_rad_(MW)____________________________ (psolradmw)___________________      0.0000E+00 OP 
+ Total_radiation_power_from_inside_LCFS_(MW)_____________________________ (pradmw)______________________      2.2417E+02 OP 
+ LCFS_radiation_fraction_=_total_radiation_in_LCFS_/_total_power_deposite (rad_fraction_LCFS)___________      5.9094E-01 OP 
+ Nominal_mean_radiation_load_on_inside_surface_of_reactor_(MW/m2)________ (photon_wall)_________________      1.7570E-01 OP 
+ Peaking_factor_for_radiation_wall_load__________________________________ (peakfactrad)_________________      3.3300E+00 IP 
+ Maximum_permitted_radiation_wall_load_(MW/m^2)__________________________ (maxradwallload)______________      1.0000E+00 IP 
+ Peak_radiation_wall_load_(MW/m^2)_______________________________________ (peakradwallload)_____________      5.8507E-01 OP 
+ Fast_alpha_particle_power_incident_on_the_first_wall_(MW)_______________ (palpfwmw)____________________      1.5907E+01 OP 
+ Nominal_mean_neutron_load_on_inside_surface_of_reactor_(MW/m2)__________ (wallmw)______________________      9.9792E-01 OP 
+ Radiation_power_from_SoL_(MW)___________________________________________ (pradsolmw)___________________      1.2414E+02 OP 
+ SoL_radiation_fraction_=_total_radiation_in_SoL_/_total_power_accross_se (rad_fraction_sol)____________      8.0000E-01 IP 
+ Radiation_fraction_total_=_SoL_+_LCFS_radiation_/_total_power_deposited_ (rad_fraction_total)__________      9.1819E-01 OP 
+ Power_incident_on_the_divertor_targets_(MW)_____________________________ (ptarmw)______________________      3.1035E+01 OP 
+ Fraction_of_power_to_the_lower_divertor_________________________________ (ftar)________________________      1.0000E+00 IP 
+ Outboard_side_heat_flux_decay_length_(m)________________________________ (lambdaio)____________________      1.5700E-03 OP 
+ Fraction_of_power_on_the_inner_targets__________________________________ (fio)_________________________      4.1000E-01 OP 
+ Fraction_of_power_incident_on_the_lower_inner_target____________________ (fLI)_________________________      4.1000E-01 OP 
+ Fraction_of_power_incident_on_the_lower_outer_target____________________ (fLO)_________________________      5.9000E-01 OP 
+ Power_incident_on_the_lower_inner_target_(MW)___________________________ (pLImw)_______________________      1.2724E+01 OP 
+ Power_incident_on_the_lower_outer_target_(MW)___________________________ (pLOmw)_______________________      1.8311E+01 OP 
+ Ohmic_heating_power_(MW)________________________________________________ (pohmmw)______________________      6.6172E-01 OP 
+ Fraction_of_alpha_power_deposited_in_plasma_____________________________ (falpha)______________________      9.5000E-01    
+ Fraction_of_alpha_power_to_electrons____________________________________ (falpe)_______________________      7.2139E-01    
+ Fraction_of_alpha_power_to_ions_________________________________________ (falpi)_______________________      2.7861E-01    
+ Ion_transport_(MW)______________________________________________________ (ptrimw)______________________      1.3659E+02 OP 
+ Electron_transport_(MW)_________________________________________________ (ptremw)______________________      1.5338E+02 OP 
+ Injection_power_to_ions_(MW)____________________________________________ (pinjimw)_____________________      0.0000E+00 OP 
+ Injection_power_to_electrons_(MW)_______________________________________ (pinjemw)_____________________      7.5213E+01 OP 
+ Ignited_plasma_switch_(0=not_ignited,_1=ignited)________________________ (ignite)______________________              0    
+ Power_into_divertor_zone_via_charged_particles_(MW)_____________________ (pdivt)_______________________      1.5518E+02 OP 
+ Psep_/_R_ratio_(MW/m)___________________________________________________ (pdivt/rmajor)________________      1.9397E+01 OP 
+ Psep_Bt_/_qAR_ratio_(MWT/m)_____________________________________________ (pdivtbt/qar)_________________      9.5570E+00 OP 
+ ITER_1996_scaling:_nominal_(MW)_________________________________________ (pthrmw(1))___________________      1.2449E+02 OP 
+ ITER_1996_scaling:_upper_bound_(MW)_____________________________________ (pthrmw(2))___________________      2.7464E+02 OP 
+ ITER_1996_scaling:_lower_bound_(MW)_____________________________________ (pthrmw(3))___________________      5.5673E+01 OP 
+ ITER_1997_scaling_(1)_(MW)______________________________________________ (pthrmw(4))___________________      2.0721E+02 OP 
+ ITER_1997_scaling_(2)_(MW)______________________________________________ (pthrmw(5))___________________      1.6581E+02 OP 
+ Martin_2008_scaling:_nominal_(MW)_______________________________________ (pthrmw(6))___________________      9.4410E+01 OP 
+ Martin_2008_scaling:_95%_upper_bound_(MW)_______________________________ (pthrmw(7))___________________      1.2366E+02 OP 
+ Martin_2008_scaling:_95%_lower_bound_(MW)_______________________________ (pthrmw(8))___________________      6.5163E+01 OP 
+ Snipes_2000_scaling:_nominal_(MW)_______________________________________ (pthrmw(9))___________________      6.5607E+01 OP 
+ Snipes_2000_scaling:_upper_bound_(MW)___________________________________ (pthrmw(10))__________________      9.6122E+01 OP 
+ Snipes_2000_scaling:_lower_bound_(MW)___________________________________ (pthrmw(11))__________________      4.4421E+01 OP 
+ Snipes_2000_scaling_(closed_divertor):_nominal_(MW)_____________________ (pthrmw(12))__________________      3.0395E+01 OP 
+ Snipes_2000_scaling_(closed_divertor):_upper_bound_(MW)_________________ (pthrmw(13))__________________      4.2193E+01 OP 
+ Snipes_2000_scaling_(closed_divertor):_lower_bound_(MW)_________________ (pthrmw(14))__________________      2.1742E+01 OP 
+ Hubbard_2012_L-I_threshold_-_nominal_(MW)_______________________________ (pthrmw(15))__________________      2.7728E+01 OP 
+ Hubbard_2012_L-I_threshold_-_lower_bound_(MW)___________________________ (pthrmw(16))__________________      1.4387E+01 OP 
+ Hubbard_2012_L-I_threshold_-_upper_bound_(MW)___________________________ (pthrmw(17))__________________      5.3439E+01 OP 
+ Hubbard_2017_L-I_threshold______________________________________________ (pthrmw(18))__________________      2.6004E+02 OP 
+ Martin_2008_aspect_ratio_corrected_scaling:_nominal_(MW)________________ (pthrmw(19))__________________      9.4410E+01 OP 
+ Martin_2008_aspect_ratio_corrected_scaling:_95%_upper_bound_(MW)________ (pthrmw(20))__________________      1.2366E+02 OP 
+ Martin_2008_aspect_ratio_corrected_scaling:_95%_lower_bound_(MW)________ (pthrmw(21))__________________      6.5163E+01 OP 
+ L-H_threshold_power_(enforced)_(MW)_____________________________________ (boundl(103)*plhthresh)_______      9.4410E+01 OP 
+ L-H_threshold_power_(MW)________________________________________________ (plhthresh)___________________      9.4410E+01 OP 
+ Confinement_scaling_law_________________________________________________ (tauelaw)_____________________     "IPB98(y,2)"
+ Confinement_H_factor____________________________________________________ (hfact)_______________________      1.1808E+00 ITV
+ Global_thermal_energy_confinement_time_(s)______________________________ (taueff)______________________      3.2379E+00    
+ Ion_energy_confinement_time_(s)_________________________________________ (tauei)_______________________      3.2379E+00    
+ Electron_energy_confinement_time_(s)____________________________________ (tauee)_______________________      3.2379E+00    
+ n.tau_=_Volume-average_electron_density_x_Energy_confinement_time_(s/m3) (dntau)_______________________      2.6225E+20 OP 
+ Triple_product__(keV_s/m3)______________________________________________ (dntau*te)____________________      3.2095E+21 OP 
+ Transport_loss_power_assumed_in_scaling_law_(MW)________________________ (powerht)_____________________      2.8997E+02 OP 
+ Switch_for_radiation_loss_term_usage_in_power_balance___________________ (iradloss)____________________              1    
+ Radiation_power_subtracted_from_plasma_power_balance_(MW)_______________ ______________________________      8.9376E+01 OP 
+ Alpha_particle_confinement_time_(s)_____________________________________ (taup)________________________      2.2315E+01    
+ Alpha_particle/energy_confinement_time_ratio____________________________ (taup/taueff)_________________      6.8919E+00    
+ Lower_limit_on_taup/taueff______________________________________________ (taulimit)____________________      5.0000E+00    
+ Total_energy_confinement_time_including_radiation_loss_(s)______________ (total_energy_conf_time)______      2.8266E+00    
+ Normalized_plasma_pressure_beta_as_defined_by_McDonald_et_al____________ (beta_mcdonald)_______________      3.7123E-02 OP 
+ Normalized_ion_Larmor_radius____________________________________________ (rho_star)____________________      2.0262E-03 OP 
+ Normalized_collisionality_______________________________________________ (nu_star)_____________________      3.7167E-03 OP 
+ Volume_measure_of_elongation____________________________________________ (kappaa_IPB)__________________      1.6815E+00 OP 
+ Total_volt-second_requirement_(Wb)______________________________________ (vsstt)_______________________      5.6973E+02 OP 
+ Inductive_volt-seconds_(Wb)_____________________________________________ (vsind)_______________________      2.3365E+02 OP 
+ Ejima_coefficient_______________________________________________________ (gamma)_______________________      3.0000E-01    
+ Start-up_resistive_(Wb)_________________________________________________ (vsres)_______________________      5.0362E+01 OP 
+ Flat-top_resistive_(Wb)_________________________________________________ (vsbrn)_______________________      2.8572E+02 OP 
+ bootstrap_current_fraction_multiplier___________________________________ (cboot)_______________________      1.0000E+00    
+ Bootstrap_fraction_(ITER_1989)__________________________________________ (bscf_iter89)_________________      3.6783E-01    
+ Bootstrap_fraction_(Sauter_et_al)_______________________________________ (bscf_sauter)_________________      4.1436E-01    
+ Bootstrap_fraction_(Nevins_et_al)_______________________________________ (bscf_nevins)_________________      3.4713E-01    
+ Bootstrap_fraction_(Wilson)_____________________________________________ (bscf_wilson)_________________      4.3036E-01    
+ Diamagnetic_fraction_(Hender)___________________________________________ (diacf_hender)________________      1.2877E-02    
+ Diamagnetic_fraction_(SCENE)____________________________________________ (diacf_scene)_________________      1.1680E-02    
+ Pfirsch-Schlueter_fraction_(SCENE)______________________________________ (pscf_scene)__________________     -3.2449E-03    
+ Bootstrap_fraction_(enforced)___________________________________________ (bootipf.)____________________      4.1436E-01    
+ Diamagnetic_fraction_(enforced)_________________________________________ (diaipf.)_____________________      0.0000E+00    
+ Pfirsch-Schlueter_fraction_(enforced)___________________________________ (psipf.)______________________      0.0000E+00    
+ Loop_voltage_during_burn_(V)____________________________________________ (vburn)_______________________      3.9627E-02 OP 
+ Plasma_resistance_(ohm)_________________________________________________ (rplas)_______________________      4.0562E-09 OP 
+ Resistive_diffusion_time_(s)____________________________________________ (res_time)____________________      3.0010E+03 OP 
+ Plasma_inductance_(H)___________________________________________________ (rlp)_________________________      1.3992E-05 OP 
+ Coefficient_for_sawtooth_effects_on_burn_V-s_requirement________________ (csawth)______________________      1.0000E+00    
+ Ratio_of_He_and_pellet_particle_confinement_times_______________________ (tauratio)____________________      1.0000E+00    
+ Fuelling_rate_(nucleus-pairs/s)_________________________________________ (qfuel)_______________________      3.3502E+21 OP 
+ Fuel_burn-up_rate_(reactions/s)_________________________________________ (rndfuel)_____________________      5.6770E+20 OP 
+ Burn-up_fraction________________________________________________________ (burnup)______________________      1.6946E-01    
+ # Energy confinement times, and required H-factors : #
+ # Current Drive System #
+ Current_drive_efficiency_model__________________________________________ (iefrf)_______________________             10    
+ Auxiliary_power_used_for_plasma_heating_only_(MW)_______________________ (pheat)_______________________      7.5000E+01    
+ Power_injected_for_current_drive_(MW)___________________________________ (pcurrentdrivemw)_____________      2.1293E-01    
+ Maximum_Allowed_Bootstrap_current_fraction______________________________ (bscfmax)_____________________      9.5000E-01    
+ Fusion_gain_factor_Q____________________________________________________ (bigq)________________________      2.0990E+01 OP 
+ Auxiliary_current_drive_(A)_____________________________________________ (auxiliary_cd)________________      9.8586E+03 OP 
+ Current_drive_efficiency_(A/W)__________________________________________ (effcd)_______________________      4.6299E-02 OP 
+ Normalised_current_drive_efficiency,_gamma_(10^20_A/W-m2)_______________ (gamcd)_______________________      3.0000E-01 OP 
+ Wall_plug_to_injector_efficiency________________________________________ (etacd)_______________________      5.0000E-01    
+ ECRH_plasma_heating_efficiency__________________________________________ (gamma_ecrh)__________________      3.0000E-01    
+ Bootstrap_fraction______________________________________________________ (bootipf)_____________________      4.1436E-01    
+ Diamagnetic_fraction____________________________________________________ (diaipf)______________________      0.0000E+00    
+ Pfirsch-Schlueter_fraction______________________________________________ (psipf)_______________________      0.0000E+00    
+ Auxiliary_current_drive_fraction________________________________________ (faccd)_______________________      5.9038E-04    
+ Inductive_fraction______________________________________________________ (facoh)_______________________      5.8505E-01    
+ Total___________________________________________________________________ (plasipf+faccd+facoh)_________      1.0000E+00    
+ Fraction_of_the_plasma_current_produced_by_non-inductive_means__________ (fvsbrnni)____________________      4.1495E-01 ITV
+ Electron_cyclotron_injected_power_(MW)__________________________________ (echpwr)______________________      7.5213E+01 OP 
+ Maximum_allowable_ECRH_power_(MW)_______________________________________ (pinjalw)_____________________      2.0000E+02    
+ ECH_wall_plug_efficiency________________________________________________ (etaech)______________________      5.0000E-01    
+ ECH_wall_plug_power_(MW)________________________________________________ (echwpow)_____________________      1.5043E+02 OP 
+ Total_V-s_capability_of_Central_Solenoid/PF_coils_(Wb)__________________ (abs(vstot))__________________      5.8939E+02    
+ Required_volt-seconds_during_start-up_(Wb)______________________________ (vssoft)______________________      2.8401E+02    
+ Available_volt-seconds_during_burn_(Wb)_________________________________ (vsmax)_______________________      2.8571E+02    
+ # Times #
+ Initial_charge_time_for_CS_from_zero_current_(s)________________________ (tramp)_______________________      5.0000E+02    
+ Plasma_current_ramp-up_time_(s)_________________________________________ (tohs)________________________      1.6699E+02    
+ Heating_time_(s)________________________________________________________ (theat)_______________________      1.0000E+01    
+ Burn_time_(s)___________________________________________________________ (tburn)_______________________      7.1999E+03 OP 
+ Reset_time_to_zero_current_for_CS_(s)___________________________________ (tqnch)_______________________      1.6699E+02    
+ Time_between_pulses_(s)_________________________________________________ (tdwell)______________________      1.8000E+03    
+ Total_plant_cycle_time_(s)______________________________________________ (tcycle)______________________      9.8441E+03 OP 
+ kallenbach_switch_______________________________________________________ (kallenbach_switch)___________              0    
+ # Radial Build #
+ TF_coil_radial_placement_switch_________________________________________ (tf_in_cs)____________________              0    
+ TF_coil_radial_placement_switch_________________________________________ (tf_in_cs)____________________              0    
+ Machine_bore_(m)________________________________________________________ (bore)________________________      2.0588E+00 ITV
+ CS_radial_thickness_(m)_________________________________________________ (ohcth)_______________________      5.5551E-01 ITV
+ CS_precompression_(m)___________________________________________________ (precomp)_____________________      6.6224E-02    
+ CS_precompresion_to_TF_coil_radial_gap_(m)______________________________ (gapoh)_______________________      8.0000E-02    
+ TF_coil_inboard_leg_(m)_________________________________________________ (tfcth)_______________________      8.6482E-01 ITV
+ TF_coil_inboard_leg_insulation_gap_(m)__________________________________ (tftsgap)_____________________      5.0000E-02    
+ Thermal_shield,_inboard_(m)_____________________________________________ (thshield_ib)_________________      5.0000E-02    
+ thermal_shield_to_vessel_radial_gap_(m)_________________________________ (gapds)_______________________      2.0000E-02    
+ Inboard_vacuum_vessel_radial_thickness_(m)______________________________ (d_vv_in)_____________________      3.0000E-01    
+ Inner_radiation_shield_radial_thickness_(m)_____________________________ (shldith)_____________________      3.0000E-01    
+ Gap_(m)_________________________________________________________________ (vvblgap)_____________________      2.0000E-02    
+ Inboard_blanket_radial_thickness_(m)____________________________________ (blnkith)_____________________      7.0000E-01    
+ Inboard_first_wall_radial_thickness_(m)_________________________________ (fwith)_______________________      1.8000E-02    
+ Inboard_scrape-off_radial_thickness_(m)_________________________________ (scrapli)_____________________      2.5000E-01    
+ Outboard_scrape-off_radial_thickness_(m)________________________________ (scraplo)_____________________      2.5000E-01    
+ Outboard_first_wall_radial_thickness_(m)________________________________ (fwoth)_______________________      1.8000E-02    
+ Outboard_blanket_radial_thickness_(m)___________________________________ (blnkoth)_____________________      1.0000E+00    
+ Outer_radiation_shield_radial_thickness_(m)_____________________________ (shldoth)_____________________      8.0000E-01    
+ Outboard_vacuum_vessel_radial_thickness_(m)_____________________________ (d_vv_out)____________________      3.0000E-01    
+ Vessel_to_TF_radial_gap_(m)_____________________________________________ (gapsto)______________________      1.3976E+00    
+ Thermal_shield,_outboard_(m)____________________________________________ (thshield_ob)_________________      5.0000E-02    
+ Gap_(m)_________________________________________________________________ (tftsgap)_____________________      5.0000E-02    
+ TF_coil_outboard_leg_radial_thickness_(m)_______________________________ (tfthko)______________________      8.6482E-01    
+ # Vertical Build #
+ Divertor_null_switch____________________________________________________ (i_single_null)_______________              1    
+ Vessel_-_TF_coil_vertical_gap_(m)_______________________________________ (vgap2)_______________________      1.6300E-01    
+ Topside_vacuum_vessel_radial_thickness_(m)______________________________ (d_vv_top)____________________      3.0000E-01    
+ Top_radiation_shield_thickness_(m)______________________________________ (shldtth)_____________________      6.0000E-01    
+ Top_blanket_vertical_thickness_(m)______________________________________ (blnktth)_____________________      8.5000E-01    
+ Top_first_wall_vertical_thickness_(m)___________________________________ (fwtth)_______________________      1.8000E-02    
+ Top_scrape-off_vertical_thickness_(m)___________________________________ (vgaptop)_____________________      6.0000E-01    
+ Plasma_half-height_(m)__________________________________________________ (rminor*kappa)________________      4.9333E+00    
+ Bottom_scrape-off_vertical_thickness_(m)________________________________ (vgap)________________________      2.0019E+00    
+ Divertor_structure_vertical_thickness_(m)_______________________________ (divfix)______________________      6.2000E-01    
+ Bottom_radiation_shield_thickness_(m)___________________________________ (shldlth)_____________________      7.0000E-01    
+ Underside_vacuum_vessel_radial_thickness_(m)____________________________ (d_vv_bot)____________________      3.0000E-01    
+ External_cryostat_thickness_(m)_________________________________________ (ddwex)_______________________      1.5000E-01    
+ Ratio_of_Central_solenoid_height_to_TF_coil_internal_height_____________ (ohhghf)______________________      9.0000E-01    
+ Width_of_neutral_beam_duct_where_it_passes_between_the_TF_coils_(m)_____ (beamwd)______________________      5.8000E-01    
+ # Divertor build and plasma position #
+ Plasma_top_position,_radial_(m)_________________________________________ (ptop_radial)_________________      6.6667E+00    
+ Plasma_top_position,_vertical_(m)_______________________________________ (ptop_vertical)_______________      4.9333E+00    
+ Plasma_geometric_centre,_radial_(m)_____________________________________ (physics_variables.rmajor.)___      8.0000E+00    
+ Plasma_geometric_centre,_vertical_(m)___________________________________ (0.0)_________________________      0.0000E+00    
+ Plasma_lower_physics_variables.triangularity____________________________ (tril)________________________      5.0000E-01    
+ Plasma_elongation_______________________________________________________ (physics_variables.kappa.)____      1.8500E+00    
+ TF_coil_vertical_offset_(m)_____________________________________________ (tfoffset)____________________     -6.1694E-01    
+ Plasma_outer_arc_radius_of_curvature_(m)________________________________ (rco)_________________________      5.0422E+00    
+ Plasma_inner_arc_radius_of_curvature_(m)________________________________ (rci)_________________________      9.7933E+00    
+ Plasma_lower_X-pt,_radial_(m)___________________________________________ (rxpt)________________________      6.6667E+00    
+ Plasma_lower_X-pt,_vertical_(m)_________________________________________ (zxpt)________________________     -4.9333E+00    
+ Poloidal_plane_angle_between_vertical_and_inner_leg_(rad)_______________ (thetai)______________________      2.0820E-01    
+ Poloidal_plane_angle_between_vertical_and_outer_leg_(rad)_______________ (thetao)______________________      1.0429E+00    
+ Poloidal_plane_angle_between_inner_leg_and_plate_(rad)__________________ (betai)_______________________      1.0000E+00    
+ Poloidal_plane_angle_between_outer_leg_and_plate_(rad)__________________ (betao)_______________________      1.0000E+00    
+ Inner_divertor_leg_poloidal_length_(m)__________________________________ (plsepi)______________________      1.0000E+00    
+ Outer_divertor_leg_poloidal_length_(m)__________________________________ (plsepo)______________________      1.5000E+00    
+ Inner_divertor_plate_length_(m)_________________________________________ (plleni)______________________      1.0000E+00    
+ Outer_divertor_plate_length_(m)_________________________________________ (plleno)______________________      1.0000E+00    
+ Inner_strike_point,_radial_(m)__________________________________________ (rspi)________________________      5.6883E+00    
+ Inner_strike_point,_vertical_(m)________________________________________ (zspi)________________________     -5.1400E+00    
+ Inner_plate_top,_radial_(m)_____________________________________________ (rplti)_______________________      5.8656E+00    
+ Inner_plate_top,_vertical_(m)___________________________________________ (zplti)_______________________     -4.6725E+00    
+ Inner_plate_bottom,_radial_(m)__________________________________________ (rplbi)_______________________      5.5109E+00    
+ Inner_plate_bottom,_vertical_(m)________________________________________ (zplbi)_______________________     -5.6075E+00    
+ Outer_strike_point,_radial_(m)__________________________________________ (rspo)________________________      7.4223E+00    
+ Outer_strike_point,_vertical_(m)________________________________________ (zspo)________________________     -6.2291E+00    
+ Outer_plate_top,_radial_(m)_____________________________________________ (rplto)_______________________      7.6496E+00    
+ Outer_plate_top,_vertical_(m)___________________________________________ (zplto)_______________________     -5.7838E+00    
+ Outer_plate_bottom,_radial_(m)__________________________________________ (rplbo)_______________________      7.1949E+00    
+ Outer_plate_bottom,_vertical_(m)________________________________________ (zplbo)_______________________     -6.6744E+00    
+ Calculated_maximum_divertor_height_(m)__________________________________ (divht)_______________________      2.0019E+00    
+ # TF coils  #
+ Allowable_maximum_shear_stress_in_TF_coil_case_(Tresca_criterion)_(Pa)__ (sig_tf_case_max)_____________      7.5000E+08    
+ Allowable_maximum_shear_stress_in_TF_coil_conduit_(Tresca_criterion)_(Pa (sig_tf_wp_max)_______________      7.5000E+08    
+ WP_transverse_modulus_(GPa)_____________________________________________ (eyoung_wp_trans*1.0d-9)______      4.4610E+01 OP 
+ WP_vertical_modulus_(GPa)_______________________________________________ (eyoung_wp_axial*1.0d-9)______      1.1695E+02 OP 
+ WP_transverse_Poissons_ratio____________________________________________ (poisson_wp_trans)____________      3.0406E-01 OP 
+ WP_vertical-transverse_Pois._rat._______________________________________ (poisson_wp_axial)____________      3.1562E-01 OP 
+ Radial____stress_at_maximum_shear_of_layer_1_(Pa)_______________________ (sig_tf_r_max(1))_____________      4.8849E-08    
+ toroidal__stress_at_maximum_shear_of_layer_1_(Pa)_______________________ (sig_tf_t_max(1))_____________     -4.9590E+08    
+ Vertical__stress_at_maximum_shear_of_layer_1_(Pa)_______________________ (sig_tf_z_max(1))_____________      2.5410E+08    
+ Von-Mises_stress_at_maximum_shear_of_layer_1_(Pa)_______________________ (sig_tf_vmises_max(1))________      6.6068E+08    
+ Maximum_shear_stress_for_the_Tresca_yield_criterion_1_(Pa)______________ (sig_tf_tresca_max(1))________      7.5000E+08    
+ Radial____stress_at_maximum_shear_of_layer_2_(Pa)_______________________ (sig_tf_r_max(2))_____________     -1.2706E+08    
+ toroidal__stress_at_maximum_shear_of_layer_2_(Pa)_______________________ (sig_tf_t_max(2))_____________     -3.8248E+08    
+ Vertical__stress_at_maximum_shear_of_layer_2_(Pa)_______________________ (sig_tf_z_max(2))_____________      2.5410E+08    
+ Von-Mises_stress_at_maximum_shear_of_layer_2_(Pa)_______________________ (sig_tf_vmises_max(2))________      5.5502E+08    
+ Maximum_shear_stress_for_the_Tresca_yield_criterion_2_(Pa)______________ (sig_tf_tresca_max(2))________      6.3658E+08    
+ Radial____stress_at_maximum_shear_of_layer_3_(Pa)_______________________ (sig_tf_r_max(3))_____________      6.3351E+06    
+ toroidal__stress_at_maximum_shear_of_layer_3_(Pa)_______________________ (sig_tf_t_max(3))_____________     -3.7469E+08    
+ Vertical__stress_at_maximum_shear_of_layer_3_(Pa)_______________________ (sig_tf_z_max(3))_____________      1.4165E+08    
+ Von-Mises_stress_at_maximum_shear_of_layer_3_(Pa)_______________________ (sig_tf_vmises_max(3))________      4.6210E+08    
+ Maximum_shear_stress_for_the_Tresca_yield_criterion_3_(Pa)______________ (sig_tf_tresca_max(3))________      5.1634E+08    
+ Maximum_radial_deflection_at_midplane_(m)_______________________________ (deflect)_____________________     -6.5297E-03 OP 
+ Vertical_strain_on_casing_______________________________________________ (casestr)_____________________      1.2395E-03 OP 
+ Radial_strain_on_insulator______________________________________________ (insstrain)___________________     -6.3417E-03 OP 
+ Conductor_technology____________________________________________________ (i_tf_sup)____________________              1    
+ Superconductor_material_________________________________________________ (i_tf_sc_mat)_________________              1    
+ Presence_of_TF_demountable_joints_______________________________________ (itart)_______________________              0    
+ TF_inboard_leg_support_strategy_________________________________________ (i_tf_bucking)________________              1    
+ Number_of_TF_coils______________________________________________________ (n_tf)________________________             16    
+ Inboard_leg_centre_radius_(m)___________________________________________ (r_tf_inboard_mid)____________      3.1929E+00 OP 
+ Outboard_leg_centre_radius_(m)__________________________________________ (r_tf_outboard_mid)___________      1.4985E+01 OP 
+ Total_inboard_leg_radial_thickness_(m)__________________________________ (tfcth)_______________________      8.6482E-01 ITV
+ Total_outboard_leg_radial_thickness_(m)_________________________________ (tfthko)______________________      8.6482E-01    
+ Outboard_leg_toroidal_thickness_(m)_____________________________________ (tftort)______________________      1.4145E+00 OP 
+ Maximum_inboard_edge_height_(m)_________________________________________ (hmax)________________________      8.8182E+00 OP 
+ Mean_coil_circumference_(including_inboard_leg_length)_(m)______________ (tfleng)______________________      4.7815E+01 OP 
+ Vertical_TF_shape_______________________________________________________ (i_tf_shape)__________________              1    
+ TF_coil_arc_point_0_R_(m)_______________________________________________ (xarc(1))_____________________      3.6253E+00    
+ TF_coil_arc_point_0_Z_(m)_______________________________________________ (yarc(1))_____________________      4.5506E+00    
+ TF_coil_arc_point_1_R_(m)_______________________________________________ (xarc(2))_____________________      7.4667E+00    
+ TF_coil_arc_point_1_Z_(m)_______________________________________________ (yarc(2))_____________________      7.5843E+00    
+ TF_coil_arc_point_2_R_(m)_______________________________________________ (xarc(3))_____________________      1.4552E+01    
+ TF_coil_arc_point_2_Z_(m)_______________________________________________ (yarc(3))_____________________      0.0000E+00    
+ TF_coil_arc_point_3_R_(m)_______________________________________________ (xarc(4))_____________________      7.4667E+00    
+ TF_coil_arc_point_3_Z_(m)_______________________________________________ (yarc(4))_____________________     -8.8182E+00    
+ TF_coil_arc_point_4_R_(m)_______________________________________________ (xarc(5))_____________________      3.6253E+00    
+ TF_coil_arc_point_4_Z_(m)_______________________________________________ (yarc(5))_____________________     -5.2909E+00    
+ TF_cross-section_(total)_(m2)___________________________________________ (tfareain)____________________      1.7350E+01    
+ Total_steel_cross-section_(m2)__________________________________________ (a_tf_steel*n_tf)_____________      1.2056E+01    
+ Total_steel_TF_fraction_________________________________________________ (f_tf_steel)__________________      6.9487E-01    
+ Total_Insulation_cross-section_(total)_(m2)_____________________________ (a_tf_ins*n_tf)_______________      8.6240E-01    
+ Total_Insulation_fraction_______________________________________________ (f_tf_ins)____________________      4.9707E-02    
+ Casing_cross_section_area_(per_leg)_(m2)________________________________ (acasetf)_____________________      5.0816E-01    
+ Inboard_leg_case_plasma_side_wall_thickness_(m)_________________________ (casthi)______________________      6.0000E-02    
+ Inboard_leg_case_inboard_"nose"_thickness_(m)___________________________ (thkcas)______________________      2.2965E-01 ITV
+ Inboard_leg_case_sidewall_thickness_at_its_narrowest_point_(m)__________ (casths)______________________      5.0000E-02    
+ External_case_mass_per_coil_(kg)________________________________________ (whtcas)______________________      4.9722E+05 OP 
+ WP_cross_section_area_with_insulation_and_insertion_(per_coil)_(m2)_____ (awpc)________________________      5.7619E-01    
+ WP_cross_section_area_(per_coil)_(m2)___________________________________ (aswp)________________________      5.1826E-01    
+ Winding_pack_radial_thickness_(m)_______________________________________ (dr_tf_wp)____________________      5.0550E-01 ITV
+ Winding_pack_toroidal_width_1_(m)_______________________________________ (wwp1)________________________      1.1901E+00 OP 
+ Winding_pack_toroidal_width_2_(m)_______________________________________ (wwp2)________________________      1.0896E+00 OP 
+ Ground_wall_insulation_thickness_(m)____________________________________ (tinstf)______________________      8.0000E-03    
+ Winding_pack_insertion_gap_(m)__________________________________________ (tfinsgap)____________________      1.0000E-02    
+ Steel_WP_cross-section_(total)_(m2)_____________________________________ (aswp*n_tf)___________________      3.9252E+00    
+ Steel_WP_fraction_______________________________________________________ (aswp/awpc)___________________      4.2577E-01    
+ Insulation_WP_fraction__________________________________________________ (aiwp/awpc)___________________      4.9412E-02    
+ Cable_WP_fraction_______________________________________________________ ((awpc-aswp-aiwp)/awpc)_______      5.2482E-01    
+ Turn_parametrisation____________________________________________________ (i_tf_turns_integer)__________              0    
+ Number_of_turns_per_TF_coil_____________________________________________ (n_tf_turn)___________________      1.5709E+02 OP 
+ Width_of_turn_including_inter-turn_insulation_(m)_______________________ (t_turn_tf)___________________      5.7439E-02 OP 
+ Width_of_conductor_(square)_(m)_________________________________________ (t_conductor)_________________      5.5839E-02 OP 
+ Width_of_space_inside_conductor_(m)_____________________________________ (t_cable)_____________________      3.9839E-02 OP 
+ Steel_conduit_thickness_(m)_____________________________________________ (thwcndut)____________________      8.0000E-03 ITV
+ Inter-turn_insulation_thickness_(m)_____________________________________ (thicndut)____________________      8.0000E-04    
+ Diameter_of_central_helium_channel_in_cable_____________________________ (dhecoil)_____________________      1.0000E-02    
+ internal_area_of_the_cable_space________________________________________ (acstf)_______________________      1.5562E-03    
+ Coolant_fraction_in_conductor_excluding_central_channel_________________ (vftf)________________________      3.0000E-01    
+ Copper_fraction_of_conductor____________________________________________ (fcutfsu)_____________________      8.6211E-01 ITV
+ Superconductor_fraction_of_conductor____________________________________ (1-fcutfsu)___________________      1.3789E-01    
+ Check_total_area_fractions_in_winding_pack_=_1__________________________ ______________________________      1.0000E+00    
+ minimum_TF_conductor_temperature_margin__(K)____________________________ (tmargmin_tf)_________________      1.5000E+00    
+ TF_conductor_temperature_margin_(K)_____________________________________ (tmargtf)_____________________      1.5100E+00    
+ Elastic_properties_behavior_____________________________________________ (i_tf_cond_eyoung_axial)______              0    
+ Conductor_axial_Youngs_modulus__________________________________________ (eyoung_cond_axial)___________      0.0000E+00    
+ Conductor_transverse_Youngs_modulus_____________________________________ (eyoung_cond_trans)___________      0.0000E+00    
+ Superconductor_mass_per_coil_(kg)_______________________________________ (whtconsc)____________________      3.2728E+03 OP 
+ Copper_mass_per_coil_(kg)_______________________________________________ (whtconcu)____________________      5.7530E+04 OP 
+ Steel_conduit_mass_per_coil_(kg)________________________________________ (whtconsh)____________________      9.1497E+04 OP 
+ Conduit_insulation_mass_per_coil_(kg)___________________________________ (whtconin)____________________      2.4504E+03 OP 
+ Total_conduit_mass_per_coil_(kg)________________________________________ (whtcon)______________________      1.5475E+05 OP 
+ Mass_of_each_TF_coil_(kg)_______________________________________________ (whttf/n_tf)__________________      6.5696E+05 OP 
+ Total_TF_coil_mass_(kg)_________________________________________________ (whttf)_______________________      1.0511E+07 OP 
+ Nominal_peak_field_assuming_toroidal_symmetry_(T)_______________________ (bmaxtf)______________________      1.1646E+01 OP 
+ Total_current_in_all_TF_coils_(MA)______________________________________ (ritfc/1.D6)__________________      2.0251E+02 OP 
+ TF_coil_current_(summed_over_all_coils)_(A)_____________________________ (ritfc)_______________________      2.0251E+08    
+ Actual_peak_field_at_discrete_conductor_(T)_____________________________ (bmaxtfrp)____________________      1.2085E+01 OP 
+ Winding_pack_current_density_(A/m2)_____________________________________ (jwptf)_______________________      2.4422E+07 OP 
+ Inboard_leg_mid-plane_conductor_current_density_(A/m2)__________________ (oacdcp)______________________      1.1672E+07    
+ Total_stored_energy_in_TF_coils_(GJ)____________________________________ (estotftgj)___________________      1.1034E+02 OP 
+ Inboard_vertical_tension_per_coil_(N)___________________________________ (vforce)______________________      1.9146E+08 OP 
+ Outboard_vertical_tension_per_coil_(N)__________________________________ (vforce_outboard)_____________      1.9146E+08 OP 
+ inboard_vertical_tension_fraction_(-)___________________________________ (f_vforce_inboard)____________      5.0000E-01 OP 
+ Centring_force_per_coil_(N/m)___________________________________________ (cforce)______________________      7.3703E+07 OP 
+ Max_allowed_tfcoil_variables.ripple_amplitude_at_plasma_outboard_midplan (ripmax)______________________      6.0000E-01    
+ Ripple_amplitude_at_plasma_outboard_midplane_(%)________________________ (ripple)______________________      6.0000E-01 OP 
+ Allowable_stress_in_vacuum_vessel_(VV)_due_to_quench_(Pa)_______________ (sigvvall)____________________      1.0000E+08    
+ Minimum_allowed_quench_time_due_to_stress_in_VV_(s)_____________________ (taucq)_______________________      1.8023E+01 OP 
+ Actual_quench_time_(or_time_constant)_(s)_______________________________ (tdmptf)______________________      1.9607E+01 ITV
+ Vacuum_Vassel_stress_on_quench_(Pa)_____________________________________ (vv_stress_quench)____________      5.5495E+07 OP 
+ Maximum_allowed_voltage_during_quench_due_to_insulation_(kV)____________ (vdalw)_______________________      9.3438E+00 ITV
+ Actual_quench_voltage_(kV)______________________________________________ (vtfskv)______________________      8.7306E+00 OP 
+ Maximum_allowed_temp_rise_during_a_quench_(K)___________________________ (tmaxpro)_____________________      1.5000E+02    
+ # Superconducting TF Coils #
+ Superconductor_switch___________________________________________________ (isumat)______________________              1    
+ Critical_field_at_zero_temperature_and_strain_(T)_______________________ (bc20m)_______________________      3.2970E+01    
+ Critical_temperature_at_zero_field_and_strain_(K)_______________________ (tc0m)________________________      1.6060E+01    
+ Helium_temperature_at_peak_field_(=_superconductor_temperature)_(K)_____ (thelium)_____________________      4.7500E+00    
+ Total_helium_fraction_inside_cable_space________________________________ (fhetot)______________________      3.5047E-01 OP 
+ Copper_fraction_of_conductor____________________________________________ (fcutfsu)_____________________      8.6211E-01 ITV
+ Residual_manufacturing_strain_on_superconductor_________________________ (str_tf_con_res)______________     -5.0000E-03    
+ Self-consistent_strain_on_superconductor________________________________ (str_wp)______________________      1.9975E-03    
+ Critical_current_density_in_superconductor_(A/m2)_______________________ (jcritsc)_____________________      7.9100E+08 OP 
+ Critical_current_density_in_strand_(A/m2)_______________________________ (jcritstr)____________________      1.0907E+08 OP 
+ Critical_current_density_in_winding_pack_(A/m2)_________________________ (jwdgcrt)_____________________      3.3416E+07 OP 
+ Actual_current_density_in_winding_pack_(A/m2)___________________________ (jwdgop)______________________      2.4422E+07 OP 
+ Minimum_allowed_temperature_margin_in_superconductor_(K)________________ (tmargmin_tf)_________________      1.5000E+00    
+ Actual_temperature_margin_in_superconductor_(K)_________________________ (tmarg)_______________________      1.5100E+00 OP 
+ Critical_current_(A)____________________________________________________ (icrit)_______________________      1.1025E+05 OP 
+ Actual_current_(A)______________________________________________________ (cpttf)_______________________      8.0573E+04 ITV
+ Actual_current_/_critical_current_______________________________________ (iooic)_______________________      7.3084E-01 OP 
+ # Central Solenoid and PF Coils #
+ Central_solenoid_superconductor_material________________________________ (isumatoh)____________________              1    
+ Maximum_field_at_Beginning_Of_Pulse_(T)_________________________________ (bmaxoh0)_____________________      1.3997E+01 OP 
+ Critical_superconductor_current_density_at_BOP_(A/m2)___________________ (jscoh_bop)___________________      3.5395E+08 OP 
+ Critical_strand_current_density_at_BOP_(A/m2)___________________________ (jstrandoh_bop)_______________      1.0618E+08 OP 
+ Allowable_overall_current_density_at_BOP_(A/m2)_________________________ (rjohc0)______________________      3.4704E+07 OP 
+ Actual_overall_current_density_at_BOP_(A/m2)____________________________ (cohbop)______________________      1.9770E+07 OP 
+ Maximum_field_at_End_Of_Flattop_(T)_____________________________________ (bmaxoh)______________________      1.3221E+01 OP 
+ Critical_superconductor_current_density_at_EOF_(A/m2)___________________ (jscoh_eof)___________________      4.2900E+08 OP 
+ Critical_strand_current_density_at_EOF_(A/m2)___________________________ (jstrandoh_eof)_______________      1.2870E+08 OP 
+ Allowable_overall_current_density_at_EOF_(A/m2)_________________________ (rjohc)_______________________      4.2063E+07 OP 
+ Actual_overall_current_density_at_EOF_(A/m2)____________________________ (coheof)______________________      2.0066E+07 ITV
+ CS_inside_radius_(m)____________________________________________________ (bore)________________________      2.0588E+00 ITV
+ CS_thickness_(m)________________________________________________________ (ohcth)_______________________      5.5551E-01 ITV
+ Gap_between_central_solenoid_and_TF_coil_(m)____________________________ (gapoh)_______________________      8.0000E-02    
+ CS_overall_cross-sectional_area_(m2)____________________________________ (areaoh)______________________      8.8176E+00 OP 
+ CS_conductor+void_cross-sectional_area_(m2)_____________________________ (awpoh)_______________________      4.1169E+00 OP 
+ ___CS_conductor_cross-sectional_area_(m2)_______________________________ (awpoh*(1-vfohc))_____________      2.8819E+00 OP 
+ ___CS_void_cross-sectional_area_(m2)____________________________________ (awpoh*vfohc)_________________      1.2351E+00 OP 
+ CS_steel_cross-sectional_area_(m2)______________________________________ (areaoh-awpoh)________________      4.7006E+00 OP 
+ CS_steel_area_fraction__________________________________________________ (oh_steel_frac)_______________      5.3310E-01 ITV
+ Switch_for_CS_stress_calculation________________________________________ (i_cs_stress)_________________              0    
+ Allowable_stress_in_CS_steel_(Pa)_______________________________________ (alstroh)_____________________      7.5000E+08    
+ Hoop_stress_in_CS_steel_(Pa)____________________________________________ (sig_hoop)____________________      6.8991E+08 OP 
+ Axial_stress_in_CS_steel_(Pa)___________________________________________ (sig_axial)___________________     -7.0866E+08 OP 
+ Maximum_shear_stress_in_CS_steel_for_the_Tresca_criterion_(Pa)__________ (s_tresca_oh)_________________      6.8991E+08 OP 
+ Axial_force_in_CS_(N)___________________________________________________ (axial_force)_________________     -1.5405E+09 OP 
+ Residual_manufacturing_strain_in_CS_superconductor_material_____________ (tfcoil_variables.str_cs_con_r     -5.0000E-03    
+ Copper_fraction_in_strand_______________________________________________ (fcuohsu)_____________________      7.0000E-01    
+ Void_(coolant)_fraction_in_conductor____________________________________ (vfohc)_______________________      3.0000E-01    
+ Helium_coolant_temperature_(K)__________________________________________ (tftmp)_______________________      4.7500E+00    
+ CS_temperature_margin_(K)_______________________________________________ (tmargoh)_____________________      1.5000E+00 OP 
+ Minimum_permitted_temperature_margin_(K)________________________________ (tmargmin_cs)_________________      1.5000E+00    
+ Residual_hoop_stress_in_CS_Steel_(Pa)___________________________________ (residual_sig_hoop)___________      2.4000E+08    
+ Minimum_burn_time_(s)___________________________________________________ (tbrnmn)______________________      7.2000E+03    
+ Initial_vertical_crack_size_(m)_________________________________________ (t_crack_vertical)____________      8.9000E-04    
+ Initial_radial_crack_size_(m)___________________________________________ (t_crack_radial)______________      2.6700E-03    
+ CS_turn_area_(m)________________________________________________________ (a_oh_turn)___________________      1.9935E-03    
+ CS_turn_length_(m)______________________________________________________ (l_cond_cst)__________________      7.7333E-02    
+ CS_turn_internal_cable_space_radius_(m)_________________________________ (r_in_cst)____________________      7.3195E-03    
+ CS_turn_width_(m)_______________________________________________________ (d_cond_cst)__________________      2.5778E-02    
+ CS_structural_vertical_thickness_(m)____________________________________ (t_structural_vertical)_______      5.5693E-03    
+ CS_structural_radial_thickness_(m)______________________________________ (t_structural_radial)_________      5.5693E-03    
+ Allowable_number_of_cycles_till_CS_fracture_____________________________ (n_cycle)_____________________      4.2524E+02 OP 
+ Minimum_number_of_cycles_required_till_CS_fracture______________________ (n_cycle_min)_________________      2.0000E+04 OP 
+ PF_coil_superconductor_material_________________________________________ (isumatpf)____________________              3    
+ Copper_fraction_in_conductor____________________________________________ (fcupfsu)_____________________      6.9000E-01    
+ Maximum_permissible_tensile_stress_(MPa)________________________________ (sigpfcalw)___________________      5.0000E+02    
+ JxB_hoop_force_fraction_supported_by_case_______________________________ (sigpfcf)_____________________      6.6600E-01    
+ PF_coil_0_radius_(m)____________________________________________________ (rpf[0]_______________________      5.5667E+00    
+ PF_coil_0_vertical_position_(m)_________________________________________ (zpf[0])______________________      9.3091E+00    
+ PF_coil_0_radial_thickness_(m)__________________________________________ (pfdr(0))_____________________      1.2994E+00    
+ PF_coil_0_vertical_thickness_(m)________________________________________ (pfdz(0))_____________________      1.2994E+00    
+ PF_coil_0_turns_________________________________________________________ (turns[0])____________________      4.6436E+02    
+ PF_coil_0_current_(MA)__________________________________________________ (ric[0])______________________      1.8574E+01    
+ PF_coil_0_field_(T)_____________________________________________________ (bpf[0])______________________      6.6228E+00    
+ PF_coil_1_radius_(m)____________________________________________________ (rpf[1]_______________________      5.5667E+00    
+ PF_coil_1_vertical_position_(m)_________________________________________ (zpf[1])______________________     -1.0543E+01    
+ PF_coil_1_radial_thickness_(m)__________________________________________ (pfdr(1))_____________________      1.3991E+00    
+ PF_coil_1_vertical_thickness_(m)________________________________________ (pfdz(1))_____________________     -1.3991E+00    
+ PF_coil_1_turns_________________________________________________________ (turns[1])____________________      5.3830E+02    
+ PF_coil_1_current_(MA)__________________________________________________ (ric[1])______________________      2.1532E+01    
+ PF_coil_1_field_(T)_____________________________________________________ (bpf[1])______________________      7.1259E+00    
+ PF_coil_2_radius_(m)____________________________________________________ (rpf[2]_______________________      1.6706E+01    
+ PF_coil_2_vertical_position_(m)_________________________________________ (zpf[2])______________________      2.6667E+00    
+ PF_coil_2_radial_thickness_(m)__________________________________________ (pfdr(2))_____________________      1.1273E+00    
+ PF_coil_2_vertical_thickness_(m)________________________________________ (pfdz(2))_____________________      1.1273E+00    
+ PF_coil_2_turns_________________________________________________________ (turns[2])____________________      1.9061E+02    
+ PF_coil_2_current_(MA)__________________________________________________ (ric[2])______________________     -7.6244E+00    
+ PF_coil_2_field_(T)_____________________________________________________ (bpf[2])______________________      2.6246E+00    
+ PF_coil_3_radius_(m)____________________________________________________ (rpf[3]_______________________      1.6706E+01    
+ PF_coil_3_vertical_position_(m)_________________________________________ (zpf[3])______________________     -2.6667E+00    
+ PF_coil_3_radial_thickness_(m)__________________________________________ (pfdr(3))_____________________      1.1273E+00    
+ PF_coil_3_vertical_thickness_(m)________________________________________ (pfdz(3))_____________________     -1.1273E+00    
+ PF_coil_3_turns_________________________________________________________ (turns[3])____________________      1.9061E+02    
+ PF_coil_3_current_(MA)__________________________________________________ (ric[3])______________________     -7.6244E+00    
+ PF_coil_3_field_(T)_____________________________________________________ (bpf[3])______________________      2.6246E+00    
+ PF_coil_4_radius_(m)____________________________________________________ (rpf[4]_______________________      1.5180E+01    
+ PF_coil_4_vertical_position_(m)_________________________________________ (zpf[4])______________________      7.4667E+00    
+ PF_coil_4_radial_thickness_(m)__________________________________________ (pfdr(4))_____________________      8.0922E-01    
+ PF_coil_4_vertical_thickness_(m)________________________________________ (pfdz(4))_____________________      8.0922E-01    
+ PF_coil_4_turns_________________________________________________________ (turns[4])____________________      1.3097E+02    
+ PF_coil_4_current_(MA)__________________________________________________ (ric[4])______________________     -5.2388E+00    
+ PF_coil_4_field_(T)_____________________________________________________ (bpf[4])______________________      2.5758E+00    
+ PF_coil_5_radius_(m)____________________________________________________ (rpf[5]_______________________      1.5180E+01    
+ PF_coil_5_vertical_position_(m)_________________________________________ (zpf[5])______________________     -7.4667E+00    
+ PF_coil_5_radial_thickness_(m)__________________________________________ (pfdr(5))_____________________      8.0922E-01    
+ PF_coil_5_vertical_thickness_(m)________________________________________ (pfdz(5))_____________________     -8.0922E-01    
+ PF_coil_5_turns_________________________________________________________ (turns[5])____________________      1.3097E+02    
+ PF_coil_5_current_(MA)__________________________________________________ (ric[5])______________________     -5.2388E+00    
+ PF_coil_5_field_(T)_____________________________________________________ (bpf[5])______________________      2.5758E+00    
+ Central_solenoid_radius_(m)_____________________________________________ (rpf[nohc-1])_________________      2.3365E+00    
+ Central_solenoid_vertical_position_(m)__________________________________ (zpf[nohc-1])_________________      0.0000E+00    
+ Central_solenoid_radial_thickness_(m)___________________________________ (ohdr)________________________      5.5551E-01    
+ Central_solenoid_vertical_thickness_(m)_________________________________ (ohdz)________________________      1.5873E+01    
+ Central_solenoid_turns__________________________________________________ (turns[nohc-1])_______________      4.4232E+03    
+ Central_solenoid_current_(MA)___________________________________________ (ric[nohc-1])_________________     -1.7693E+02    
+ Central_solenoid_field_(T)______________________________________________ (bpf[nohc-1])_________________      1.3997E+01    
+ Sum_of_squares_of_residuals_____________________________________________ (ssq0)________________________      3.8915E-04 OP 
+ Smoothing_parameter_____________________________________________________ (alfapf)______________________      5.0000E-10    
+ # Volt Second Consumption #
+ Total_volt-second_consumption_by_coils_(Wb)_____________________________ (vstot)_______________________     -5.9000E+02 OP 
+ # Waveforms #
+ Ratio_of_central_solenoid_current_at_beginning_of_Pulse_/_end_of_flat-to (fcohbop)_____________________      9.8528E-01 ITV
+ Ratio_of_central_solenoid_current_at_beginning_of_Flat-top_/_end_of_flat (fcohbof)_____________________     -1.9610E-01 OP 
+ # PF Circuit Waveform Data #
+ Number_of_PF_circuits_including_CS_and_plasma___________________________ (ncirt)_______________________              8    
+ PF_Circuit_0_Time_point_0_(A)___________________________________________ (pfc0t0)______________________      0.0000E+00    
+ PF_Circuit_0_Time_point_1_(A)___________________________________________ (pfc0t1)______________________      1.4447E+07    
+ PF_Circuit_0_Time_point_2_(A)___________________________________________ (pfc0t2)______________________      1.8574E+07    
+ PF_Circuit_0_Time_point_3_(A)___________________________________________ (pfc0t3)______________________      1.8574E+07    
+ PF_Circuit_0_Time_point_4_(A)___________________________________________ (pfc0t4)______________________      1.0356E+06    
+ PF_Circuit_0_Time_point_5_(A)___________________________________________ (pfc0t5)______________________      0.0000E+00    
+ PF_Circuit_1_Time_point_0_(A)___________________________________________ (pfc1t0)______________________      0.0000E+00    
+ PF_Circuit_1_Time_point_1_(A)___________________________________________ (pfc1t1)______________________      1.8901E+07    
+ PF_Circuit_1_Time_point_2_(A)___________________________________________ (pfc1t2)______________________      2.1532E+07    
+ PF_Circuit_1_Time_point_3_(A)___________________________________________ (pfc1t3)______________________      2.1532E+07    
+ PF_Circuit_1_Time_point_4_(A)___________________________________________ (pfc1t4)______________________     -1.4128E+06    
+ PF_Circuit_1_Time_point_5_(A)___________________________________________ (pfc1t5)______________________      0.0000E+00    
+ PF_Circuit_2_Time_point_0_(A)___________________________________________ (pfc2t0)______________________     -0.0000E+00    
+ PF_Circuit_2_Time_point_1_(A)___________________________________________ (pfc2t1)______________________      4.9967E+05    
+ PF_Circuit_2_Time_point_2_(A)___________________________________________ (pfc2t2)______________________     -7.0179E+06    
+ PF_Circuit_2_Time_point_3_(A)___________________________________________ (pfc2t3)______________________     -7.0179E+06    
+ PF_Circuit_2_Time_point_4_(A)___________________________________________ (pfc2t4)______________________     -7.6244E+06    
+ PF_Circuit_2_Time_point_5_(A)___________________________________________ (pfc2t5)______________________     -0.0000E+00    
+ PF_Circuit_3_Time_point_0_(A)___________________________________________ (pfc3t0)______________________     -0.0000E+00    
+ PF_Circuit_3_Time_point_1_(A)___________________________________________ (pfc3t1)______________________      4.9967E+05    
+ PF_Circuit_3_Time_point_2_(A)___________________________________________ (pfc3t2)______________________     -7.0179E+06    
+ PF_Circuit_3_Time_point_3_(A)___________________________________________ (pfc3t3)______________________     -7.0179E+06    
+ PF_Circuit_3_Time_point_4_(A)___________________________________________ (pfc3t4)______________________     -7.6244E+06    
+ PF_Circuit_3_Time_point_5_(A)___________________________________________ (pfc3t5)______________________     -0.0000E+00    
+ PF_Circuit_4_Time_point_0_(A)___________________________________________ (pfc4t0)______________________     -0.0000E+00    
+ PF_Circuit_4_Time_point_1_(A)___________________________________________ (pfc4t1)______________________      4.1114E+05    
+ PF_Circuit_4_Time_point_2_(A)___________________________________________ (pfc4t2)______________________     -4.7396E+06    
+ PF_Circuit_4_Time_point_3_(A)___________________________________________ (pfc4t3)______________________     -4.7396E+06    
+ PF_Circuit_4_Time_point_4_(A)___________________________________________ (pfc4t4)______________________     -5.2388E+06    
+ PF_Circuit_4_Time_point_5_(A)___________________________________________ (pfc4t5)______________________     -0.0000E+00    
+ PF_Circuit_5_Time_point_0_(A)___________________________________________ (pfc5t0)______________________     -0.0000E+00    
+ PF_Circuit_5_Time_point_1_(A)___________________________________________ (pfc5t1)______________________      4.1114E+05    
+ PF_Circuit_5_Time_point_2_(A)___________________________________________ (pfc5t2)______________________     -4.7396E+06    
+ PF_Circuit_5_Time_point_3_(A)___________________________________________ (pfc5t3)______________________     -4.7396E+06    
+ PF_Circuit_5_Time_point_4_(A)___________________________________________ (pfc5t4)______________________     -5.2388E+06    
+ PF_Circuit_5_Time_point_5_(A)___________________________________________ (pfc5t5)______________________     -0.0000E+00    
+ CS_Circuit_Time_point_0_(A)_____________________________________________ (cs_t0)_______________________     -0.0000E+00    
+ CS_Circuit_Time_point_1_(A)_____________________________________________ (cs_t1)_______________________      1.7433E+08    
+ CS_Circuit_Time_point_2_(A)_____________________________________________ (cs_t2)_______________________      3.4696E+07    
+ CS_Circuit_Time_point_3_(A)_____________________________________________ (cs_t3)_______________________      3.4696E+07    
+ CS_Circuit_Time_point_4_(A)_____________________________________________ (cs_t4)_______________________     -1.7693E+08    
+ CS_Circuit_Time_point_5_(A)_____________________________________________ (cs_t5)_______________________     -0.0000E+00    
+ Plasma_Time_point_0_(A)_________________________________________________ (plasmat0)____________________      0.0000E+00    
+ Plasma_Time_point_1_(A)_________________________________________________ (plasmat1)____________________      0.0000E+00    
+ Plasma_Time_point_2_(A)_________________________________________________ (plasmat2)____________________      1.6699E+07    
+ Plasma_Time_point_3_(A)_________________________________________________ (plasmat3)____________________      1.6699E+07    
+ Plasma_Time_point_4_(A)_________________________________________________ (plasmat4)____________________      1.6699E+07    
+ Plasma_Time_point_5_(A)_________________________________________________ (plasmat5)____________________      0.0000E+00    
+ # Support Structure #
+ Outer_PF_coil_fence_mass_(kg)___________________________________________ (fncmass)_____________________      2.3111E+05 OP 
+ Intercoil_support_structure_mass_(kg)___________________________________ (aintmass)____________________      4.0561E+06 OP 
+ Mass_of_cooled_components_(kg)__________________________________________ (coldmass)____________________      3.3225E+07 OP 
+ Gravity_support_structure_mass_(kg)_____________________________________ (clgsmass)____________________      1.2335E+06 OP 
+ Torus_leg_support_mass_(kg)_____________________________________________ (gsm1)________________________      8.5820E+04 OP 
+ Ring_beam_mass_(kg)_____________________________________________________ (gsm2)________________________      3.9215E+05 OP 
+ Ring_legs_mass_(kg)_____________________________________________________ (gsm3)________________________      6.5343E+05 OP 
+ # PF Coil Inductances #
+ # Nuclear Heating Magnets Before Renormalisation #
+ Shield_line_density_(tonne/m2)__________________________________________ (x_shield)____________________      4.0560E+00    
+ Blanket_line_density_(tonne/m2)_________________________________________ (x_blanket)___________________      2.2911E+00    
+ Unit_nuclear_heating_in_TF_coil_(W/GW)__________________________________ (tfc_nuc_heating)_____________      1.3678E+04    
+ Total_nuclear_heating_in_TF_coil_(MW)___________________________________ (ptfnuc.)_____________________      2.1784E-02    
+ powfmw__________________________________________________________________ (powfmw.)_____________________      1.5926E+03    
+ total_mass_of_the_TF_coils_(kg)_________________________________________ (whttf)_______________________      1.0511E+07    
+ # Pumping for primary coolant (helium) #
+ Pressure_drop_in_FW_and_blanket_coolant_incl._hx_and_pipes_(Pa)_________ (dp_he)_______________________      5.5000E+05    
+ Fraction_of_FW_and_blanket_thermal_power_required_for_pumping___________ (fpump)_______________________      8.9463E-02 OP 
+ Total_power_absorbed_by_FW_&_blanket_(MW)_______________________________ (p_plasma)____________________      1.6428E+03 OP 
+ Inlet_temperature_of_FW_&_blanket_coolant_pump_(K)______________________ (t_in_compressor)_____________      5.5703E+02 OP 
+ Coolant_pump_outlet/Inlet_temperature_of_FW_&_blanket_(K)_______________ (t_in_bb)_____________________      5.7313E+02    
+ Outlet_temperature_of_FW_&_blanket_(K)__________________________________ (t_out_bb)____________________      7.7313E+02    
+ Mechanical_pumping_power_for_FW_and_blanket_cooling_loop_including_heat_ (htpmw_fw_blkt)_______________      1.6141E+02 OP 
+ Mechanical_pumping_power_for_divertor_(MW)______________________________ (htpmw_div)___________________      1.6374E+00 OP 
+ Mechanical_pumping_power_for_shield_and_vacuum_vessel_(MW)______________ (htpmw_shld)__________________      6.9487E-03 OP 
+ # First wall and blanket : CCFE HCPB model #
+ Titanium_beryllide_fraction_____________________________________________ (fbltibe12)___________________      3.7500E-01    
+ Lithium_orthosilicate_fraction__________________________________________ (fblli2sio4)__________________      3.7500E-01    
+ Steel_fraction__________________________________________________________ (fblss_ccfe)__________________      9.7050E-02    
+ Coolant_fraction________________________________________________________ (vfcblkt)_____________________      5.2950E-02    
+ Purge_gas_fraction______________________________________________________ (vfpblkt)_____________________      1.0000E-01    
+ First_Wall_Armour_Volume_(m3)___________________________________________ (fw_armour_vol)_______________      5.8692E+00    
+ First_Wall_Volume_(m3)__________________________________________________ (volfw)_______________________      1.9807E+01    
+ Blanket_Volume_(m3)_____________________________________________________ (volblkt)_____________________      1.1849E+03    
+ Shield_Volume_(m3)______________________________________________________ (volshld)_____________________      7.8520E+02    
+ Vacuum_vessel_volume_(m3)_______________________________________________ (vdewin)______________________      1.0178E+03    
+ First_Wall_Armour_Mass_(kg)_____________________________________________ (fw_armour_mass)______________      1.1298E+05 OP 
+ First_Wall_Mass,_excluding_armour_(kg)__________________________________ (fwmass)______________________      1.5449E+05 OP 
+ Blanket_Mass_-_Total(kg)________________________________________________ (whtblkt)_____________________      2.9676E+06 OP 
+ ____Blanket_Mass_-_TiBe12_(kg)__________________________________________ (whtbltibe12)_________________      1.0042E+06 OP 
+ ____Blanket_Mass_-_Li4SiO4_(kg)_________________________________________ (whtblli4sio4)________________      1.0664E+06 OP 
+ ____Blanket_Mass_-_Steel_(kg)___________________________________________ (whtblss)_____________________      8.9696E+05 OP 
+ Total_mass_of_armour,_first_wall_and_blanket_(kg)_______________________ (armour_fw_bl_mass)___________      3.2350E+06 OP 
+ Shield_Mass_(kg)________________________________________________________ (whtshld)_____________________      2.4498E+06 OP 
+ Vacuum_vessel_mass_(kg)_________________________________________________ (vvmass)______________________      7.9388E+06 OP 
+ Total_nuclear_heating_in_TF+PF_coils_(CS_is_negligible)_(MW)____________ (ptfnuc)______________________      2.2718E-02 OP 
+ Total_nuclear_heating_in_FW_(MW)________________________________________ (pnucfw)______________________      1.6038E+02 OP 
+ Total_nuclear_heating_in_the_blanket_(including_emult)_(MW)_____________ (pnucblkt)____________________      1.2682E+03 OP 
+ Total_nuclear_heating_in_the_shield_(MW)________________________________ (pnucshld)____________________      1.3897E+00 OP 
+ Total_nuclear_heating_in_the_divertor_(MW)______________________________ (pnucdiv)_____________________      1.4652E+02 OP 
+ Blanket_exponential_factor______________________________________________ (exp_blanket)_________________      9.9936E-01 OP 
+ Shield:_first_exponential_______________________________________________ (exp_shield1)_________________      1.9523E-03 OP 
+ Shield:_second_exponential______________________________________________ (exp_shield2)_________________      2.5427E-01 OP 
+ Solid_angle_fraction_taken_by_on_divertor_______________________________ (fdiv)________________________      1.1500E-01    
+ Switch_for_plant_secondary_cycle________________________________________ (secondary_cycle)_____________              2    
+ First_wall_coolant_pressure_(Pa)________________________________________ (fwpressure)__________________      1.5500E+07    
+ Blanket_coolant_pressure_(Pa)___________________________________________ (blpressure)__________________      1.5500E+07    
+ Allowable_nominal_neutron_fluence_at_first_wall_(MW.year/m2)____________ (abktflnc)____________________      5.0000E+00    
+ No_of_inboard_blanket_modules_poloidally________________________________ (nblktmodpi)__________________              7    
+ No_of_inboard_blanket_modules_toroidally________________________________ (nblktmodti)__________________             32    
+ No_of_outboard_blanket_modules_poloidally_______________________________ (nblktmodpo)__________________              8    
+ No_of_outboard_blanket_modules_toroidally_______________________________ (nblktmodto)__________________             48    
+ Isentropic_efficiency_of_first_wall_/_blanket_coolant_pumps_____________ (etaiso)______________________      9.0000E-01    
+ First_wall_area_(m2)____________________________________________________ (fwarea)______________________      1.6044E+03 OP 
+ Cryostat_internal_radius_(m)____________________________________________ (rdewex)______________________      1.7769E+01 OP 
+ Cryostat_internal_half-height_(m)_______________________________________ (zdewex)______________________      1.5292E+01 OP 
+ Vertical_clearance_from_TF_coil_to_cryostat_(m)_________________________ (clh1)________________________      5.6091E+00 OP 
+ Divertor_area_(m2)______________________________________________________ (divsur)______________________      1.4879E+02 OP 
+ Divertor_mass_(kg)______________________________________________________ (divmas)______________________      3.6453E+04 OP 
+ # Superconducting TF Coil Power Conversion #
+ TF_coil_current_(kA)____________________________________________________ (itfka)_______________________      8.0573E+01 OP 
+ Number_of_TF_coils______________________________________________________ (ntfc)________________________      1.6000E+01    
+ Voltage_across_a_TF_coil_during_quench_(kV)_____________________________ (vtfskv)______________________      8.7306E+00 OP 
+ TF_coil_charge_time_(hours)_____________________________________________ (tchghr)______________________      4.0000E+00    
+ Total_inductance_of_TF_coils_(H)________________________________________ (ltfth)_______________________      3.3992E+01 OP 
+ Total_resistance_of_TF_coils_(ohm)______________________________________ (rcoils)______________________      0.0000E+00 OP 
+ TF_coil_charging_voltage_(V)____________________________________________ (tfcv)________________________      2.9477E+02    
+ Number_of_DC_circuit_breakers___________________________________________ (ntfbkr)______________________      1.6000E+01    
+ Number_of_dump_resistors________________________________________________ (ndumpr)______________________      6.4000E+01    
+ Resistance_per_dump_resistor_(ohm)______________________________________ (r1dump)______________________      1.0836E-01 OP 
+ Dump_resistor_peak_power_(MW)___________________________________________ (r1ppmw)______________________      1.7586E+02 OP 
+ Energy_supplied_per_dump_resistor_(MJ)__________________________________ (r1emj)_______________________      1.7240E+03 OP 
+ TF_coil_L/R_time_constant_(s)___________________________________________ (ttfsec)______________________      1.9607E+01 OP 
+ Power_supply_voltage_(V)________________________________________________ (tfpsv)_______________________      3.0951E+02 OP 
+ Power_supply_current_(kA)_______________________________________________ (tfpska)______________________      8.4601E+01 OP 
+ DC_power_supply_rating_(kW)_____________________________________________ (tfckw)_______________________      2.6185E+04 OP 
+ AC_power_for_charging_(kW)______________________________________________ (tfackw)______________________      2.9094E+04 OP 
+ TF_coil_resistive_power_(MW)____________________________________________ (rpower)______________________      8.4257E+00 OP 
+ TF_coil_inductive_power_(MVA)___________________________________________ (xpower)______________________      1.5325E+01 OP 
+ Aluminium_bus_current_density_(kA/cm2)__________________________________ (djmka)_______________________      1.2500E-01    
+ Aluminium_bus_cross-sectional_area_(cm2)________________________________ (albusa)______________________      6.4458E+02 OP 
+ Total_length_of_TF_coil_bussing_(m)_____________________________________ (tfbusl)______________________      3.1931E+03 OP 
+ Aluminium_bus_weight_(tonnes)___________________________________________ (albuswt)_____________________      5.5571E+02 OP 
+ Total_TF_coil_bus_resistance_(ohm)______________________________________ (rtfbus)______________________      1.2979E-03 OP 
+ TF_coil_bus_voltage_drop_(V)____________________________________________ (vtfbus)______________________      1.0457E+02 OP 
+ Dump_resistor_floor_area_(m2)___________________________________________ (drarea)______________________      4.6142E+03 OP 
+ TF_coil_power_conversion_floor_space_(m2)_______________________________ (tfcfsp)______________________      1.6483E+03 OP 
+ TF_coil_power_conv._building_volume_(m3)________________________________ (tfcbv)_______________________      9.8896E+03 OP 
+ TF_coil_AC_inductive_power_demand_(MW)__________________________________ (xpwrmw)______________________      1.7027E+01 OP 
+ Total_steady_state_AC_power_demand_(MW)_________________________________ (tfacpd)______________________      9.3619E+00 OP 
+ # PF Coils and Central Solenoid: Power and Energy #
+ Number_of_PF_coil_circuits______________________________________________ (pfckts)______________________      1.2000E+01    
+ Sum_of_PF_power_supply_ratings_(MVA)____________________________________ (spsmva)______________________      2.8939E+02 OP 
+ Total_PF_coil_circuit_bus_length_(m)____________________________________ (spfbusl)_____________________      2.4480E+03 OP 
+ Total_PF_coil_bus_resistive_power_(kW)__________________________________ (pfbuspwr)____________________      9.6444E+02 OP 
+ Total_PF_coil_resistive_power_(kW)______________________________________ (srcktpm)_____________________      9.6444E+02 OP 
+ Maximum_PF_coil_voltage_(kV)____________________________________________ (vpfskv)______________________      2.0000E+01    
+ Efficiency_of_transfer_of_PF_stored_energy_into_or_out_of_storage_______ (etapsu)______________________      9.0000E-01    
+ Maximum_stored_energy_in_poloidal_field_(MJ)____________________________ (ensxpfm)_____________________      2.8001E+04 OP 
+ Peak_absolute_rate_of_change_of_stored_energy_in_poloidal_field_(MW)____ (peakpoloidalpower)___________      1.6768E+02 OP 
+ # Vacuum System #
+ First_wall_outgassing_rate_(Pa_m/s)_____________________________________ (rat)_________________________      1.3000E-08    
+ Total_outgassing_load_(Pa_m3/s)_________________________________________ (ogas)________________________      1.6691E-04 OP 
+ Base_pressure_required_(Pa)_____________________________________________ (pbase)_______________________      5.0000E-04    
+ Required_N2_pump_speed_(m3/s)___________________________________________ (s(1))________________________      3.3381E-01 OP 
+ N2_pump_speed_provided_(m3/s)___________________________________________ (snet(1))_____________________      2.3496E+01 OP 
+ Plasma_chamber_volume_(m3)______________________________________________ (volume)______________________      2.2588E+03 OP 
+ Chamber_pressure_after_burn_(Pa)________________________________________ (pend)________________________      1.6766E-01 OP 
+ Chamber_pressure_before_burn_(Pa)_______________________________________ (pstart)______________________      1.6766E-03    
+ Allowable_pumping_time_switch___________________________________________ (dwell_pump)__________________              0    
+ Dwell_time_between_burns_(s)____________________________________________ (tdwell.)_____________________      1.8000E+03    
+ CS_ramp-up_time_burns_(s)_______________________________________________ (tramp.)______________________      5.0000E+02    
+ Allowable_pumping_time_between_burns_(s)________________________________ (tpump)_______________________      1.8000E+03    
+ Required_D-T_pump_speed_(m3/s)__________________________________________ (s(2))________________________      5.7790E+00 OP 
+ D-T_pump_speed_provided_(m3/s)__________________________________________ (snet(2))_____________________      5.6929E+01 OP 
+ Divertor_chamber_gas_pressure_(Pa)______________________________________ (prdiv)_______________________      3.6000E-01    
+ Helium_gas_fraction_in_divertor_chamber_________________________________ (fhe)_________________________      1.6884E-01 OP 
+ Required_helium_pump_speed_(m3/s)_______________________________________ (s(3))________________________      3.8516E+01 OP 
+ Helium_pump_speed_provided_(m3/s)_______________________________________ (snet(3))_____________________      3.8516E+01 OP 
+ D-T_fuelling_rate_(kg/s)________________________________________________ (frate)_______________________      2.7815E-05 OP 
+ Required_D-T_pump_speed_(m3/s)__________________________________________ (s(4))________________________      3.8516E+01 OP 
+ D-T_pump_speed_provided_(m3/s)__________________________________________ (snet(4))_____________________      5.6929E+01 OP 
+ Number_of_large_pump_ducts______________________________________________ (nduct)_______________________             16    
+ Passage_diameter,_divertor_to_ducts_(m)_________________________________ (d(imax))_____________________      4.7824E-01 OP 
+ Passage_length_(m)______________________________________________________ (l1)__________________________      1.6648E+00 OP 
+ Diameter_of_ducts_(m)___________________________________________________ (dout)________________________      5.7389E-01 OP 
+ Duct_length,_divertor_to_elbow_(m)______________________________________ (l2)__________________________      4.8000E+00 OP 
+ Duct_length,_elbow_to_pumps_(m)_________________________________________ (l3)__________________________      2.0000E+00    
+ Number_of_pumps_________________________________________________________ (pumpn)_______________________      3.2000E+01 OP 
+ # Plant Buildings System #
+ Internal_volume_of_reactor_building_(m3)________________________________ (vrci)________________________      9.8942E+05    
+ Dist_from_centre_of_torus_to_bldg_wall_(m)______________________________ (wrbi)________________________      3.9426E+01    
+ Effective_floor_area_(m2)_______________________________________________ (efloor)______________________      3.3497E+05    
+ Reactor_building_volume_(m3)____________________________________________ (rbv)_________________________      1.1226E+06    
+ Reactor_maintenance_building_volume_(m3)________________________________ (rmbv)________________________      3.9641E+05    
+ Warmshop_volume_(m3)____________________________________________________ (wsv)_________________________      1.2531E+05    
+ Tritium_building_volume_(m3)____________________________________________ (triv)________________________      4.0000E+04    
+ Electrical_building_volume_(m3)_________________________________________ (elev)________________________      5.0890E+04    
+ Control_building_volume_(m3)____________________________________________ (conv)________________________      6.0000E+04    
+ Cryogenics_building_volume_(m3)_________________________________________ (cryv)________________________      1.4590E+04    
+ Administration_building_volume_(m3)_____________________________________ (admv)________________________      1.0000E+05    
+ Shops_volume_(m3)_______________________________________________________ (shov)________________________      1.0000E+05    
+ Total_volume_of_nuclear_buildings_(m3)__________________________________ (volnucb)_____________________      1.5657E+06    
+ # Electric Power Requirements #
+ Facility_base_load_(MW)_________________________________________________ (basemw)______________________      5.0000E+00    
+ Divertor_coil_power_supplies_(MW)_______________________________________ (bdvmw)_______________________      0.0000E+00    
+ Cryoplant_electric_power_(MW)___________________________________________ (crymw)_______________________      3.4704E+01 OP 
+ Primary_coolant_pumps_(MW)______________________________________________ (htpmw..)_____________________      1.8742E+02 OP 
+ PF_coil_power_supplies_(MW)_____________________________________________ (ppfmw)_______________________      7.5479E+01 OP 
+ TF_coil_power_supplies_(MW)_____________________________________________ (ptfmw)_______________________      9.3619E+00 OP 
+ Plasma_heating_supplies_(MW)____________________________________________ (pheatingmw)__________________      1.5043E+02 OP 
+ Tritium_processing_(MW)_________________________________________________ (trithtmw..)__________________      1.5000E+01    
+ Vacuum_pumps__(MW)______________________________________________________ (vachtmw..)___________________      5.0000E-01    
+ Total_pulsed_power_(MW)_________________________________________________ (pacpmw)______________________      5.2814E+02 OP 
+ Total_base_power_required_at_all_times_(MW)_____________________________ (fcsht)_______________________      5.5246E+01 OP 
+ # Cryogenics #
+ Conduction_and_radiation_heat_loads_on_cryogenic_components_(MW)________ (qss/1.0d6)___________________      1.4287E-02 OP 
+ Nuclear_heating_of_cryogenic_components_(MW)____________________________ (qnuc/1.0d6)__________________      1.3000E-02 OP 
+ AC_losses_in_cryogenic_components_(MW)__________________________________ (qac/1.0d6)___________________      3.7116E-03 OP 
+ Resistive_losses_in_current_leads_(MW)__________________________________ (qcl/1.0d6)___________________      1.7533E-02 OP 
+ 45%_allowance_for_heat_loads_in_transfer_lines,_storage_tanks_etc_(MW)__ (qmisc/1.0d6)_________________      2.1839E-02 OP 
+ Sum_=_Total_heat_removal_at_cryogenic_temperatures_(tfcoil_variables.tmp (helpow_+_helpow_cryal/1.0d6)_      7.0370E-02 OP 
+ Temperature_of_cryogenic_superconducting_components_(K)_________________ (tmpcry)______________________      4.5000E+00    
+ Temperature_of_cryogenic_aluminium_components_(K)_______________________ (tcoolin)_____________________      3.1315E+02    
+ Efficiency_(figure_of_merit)_of_cryogenic_plant_is_13%_of_ideal_Carnot_v ______________________________      2.0277E-03 OP 
+ Efficiency_(figure_of_merit)_of_cryogenic_aluminium_plant_is_40%_of_idea ______________________________     -2.0203E+00 OP 
+ Electric_power_for_cryogenic_plant_(MW)_________________________________ (crypmw)______________________      3.4704E+01 OP 
+ # Plant Power / Heat Transport Balance #
+ Neutron_power_multiplication_in_blanket_________________________________ (emult)_______________________      1.2690E+00    
+ Divertor_area_fraction_of_whole_toroid_surface__________________________ (fdiv)________________________      1.1500E-01    
+ H/CD_apparatus_+_diagnostics_area_fraction______________________________ (fhcd)________________________      0.0000E+00    
+ First_wall_area_fraction________________________________________________ (1-fdiv-fhcd)_________________      8.8500E-01    
+ Switch_for_pumping_of_primary_coolant___________________________________ (primary_pumping)_____________              3    
+ Mechanical_pumping_power_for_FW_cooling_loop_including_heat_exchanger_(M (htpmw_fw)____________________      0.0000E+00 OP 
+ Mechanical_pumping_power_for_blanket_cooling_loop_including_heat_exchang (htpmw_blkt)__________________      0.0000E+00 OP 
+ Mechanical_pumping_power_for_FW_and_blanket_cooling_loop_including_heat_ (htpmw_fw_blkt)_______________      1.6141E+02 OP 
+ Mechanical_pumping_power_for_divertor_(MW)______________________________ (htpmw_div)___________________      1.6374E+00 OP 
+ Mechanical_pumping_power_for_shield_and_vacuum_vessel_(MW)______________ (htpmw_shld)__________________      6.9487E-03 OP 
+ Electrical_pumping_power_for_FW_and_blanket_(MW)________________________ (htpmwe_fw_blkt)______________      1.8553E+02 OP 
+ Electrical_pumping_power_for_shield_(MW)________________________________ (htpmwe_shld)_________________      7.9870E-03 OP 
+ Electrical_pumping_power_for_divertor_(MW)______________________________ (htpmwe_div)__________________      1.8821E+00 OP 
+ Total_electrical_pumping_power_for_primary_coolant_(MW)_________________ (htpmw)_______________________      1.8742E+02 OP 
+ Coolant_pump_power_/_non-pumping_thermal_power_in_shield________________ (fpumpshld)___________________      5.0000E-03    
+ Coolant_pump_power_/_non-pumping_thermal_power_in_divertor______________ (fpumpdiv)____________________      5.0000E-03    
+ Electrical_efficiency_of_heat_transport_coolant_pumps___________________ (etahtp)______________________      8.7000E-01    
+ Thermal_to_electric_conversion_efficiency_of_the_power_conversion_cycle_ (etath)_______________________      4.0000E-01    
+ Fraction_of_total_high-grade_thermal_power_to_divertor__________________ (pdivfraction)________________      1.5417E-01    
+ Total_power_leaving_reactor_(across_vacuum_vessel_boundary)_(MW)________ ______________________________      1.9734E+03    
+ Heat_removal_from_cryogenic_plant_(MW)__________________________________ (crypmw)______________________      3.4704E+01    
+ Heat_removal_from_facilities_(MW)_______________________________________ (fachtmw)_____________________      5.5246E+01    
+ Coolant_pumping_efficiency_losses_(MW)__________________________________ (htpsecmw)____________________      2.4365E+01    
+ Heat_removal_from_injection_power_(MW)__________________________________ (pinjht)______________________      7.5213E+01    
+ Heat_removal_from_tritium_plant_(MW)____________________________________ (trithtmw)____________________      1.5000E+01    
+ Heat_removal_from_vacuum_pumps_(MW)_____________________________________ (vachtmw)_____________________      5.0000E-01    
+ TF_coil_resistive_power_(MW)____________________________________________ (tfcmw)_______________________      0.0000E+00    
+ Total_low-grade_thermal_power_(MW)______________________________________ (psechtmw)____________________      2.1566E+02    
+ Total_High-grade_thermal_power_(MW)_____________________________________ (pthermmw)____________________      2.1348E+03    
+ Number_of_primary_heat_exchangers_______________________________________ (nphx)________________________              3 OP 
+ Transport_power_from_scaling_law_(MW)___________________________________ (pscalingmw)__________________      2.8997E+02    
+ Radiation_power_from_inside_"coreradius"_(MW)___________________________ (pcoreradmw.)_________________      8.9376E+01    
+ Total_(MW)______________________________________________________________ ______________________________      3.7935E+02    
+ Alpha_power_deposited_in_plasma_(MW)____________________________________ (falpha*palpmw)_______________      3.0224E+02    
+ Power_from_charged_products_of_DD_and/or_D-He3_fusion_(MW)______________ (pchargemw.)__________________      1.2322E+00    
+ Ohmic_heating_(MW)______________________________________________________ (pohmmw.)_____________________      6.6172E-01    
+ Injected_power_deposited_in_plasma_(MW)_________________________________ (pinjmw)______________________      7.5213E+01    
+ Total_(MW)______________________________________________________________ ______________________________      3.7935E+02    
+ Fusion_power_(MW)_______________________________________________________ (powfmw)______________________      1.5926E+03    
+ Power_from_energy_multiplication_in_blanket_and_shield_(MW)_____________ (emultmw)_____________________      3.0312E+02    
+ Injected_power_(MW)_____________________________________________________ (pinjmw.)_____________________      7.5213E+01    
+ Ohmic_power_(MW)________________________________________________________ (pohmmw.)_____________________      6.6172E-01    
+ Power_deposited_in_primary_coolant_by_pump_(MW)_________________________ (htpmw_mech)__________________      1.6306E+02    
+ Total_(MW)______________________________________________________________ ______________________________      2.1347E+03    
+ Heat_extracted_from_first_wall_and_blanket_(MW)_________________________ (pthermfw_blkt)_______________      1.8043E+03    
+ Heat_extracted_from_shield__(MW)________________________________________ (pthermshld)__________________      1.3967E+00    
+ Heat_extracted_from_divertor_(MW)_______________________________________ (pthermdiv)___________________      3.2912E+02    
+ Nuclear_and_photon_power_lost_to_H/CD_system_(MW)_______________________ (psechcd)_____________________      0.0000E+00    
+ Nuclear_power_lost_to_TF_(MW)___________________________________________ (ptfnuc)______________________      2.2718E-02    
+ Total_(MW)______________________________________________________________ ______________________________      2.1348E+03    
+ Net_electric_power_output(MW)___________________________________________ (pnetelmw.)___________________      4.0000E+02    
+ Required_Net_electric_power_output(MW)__________________________________ (pnetelin)____________________      4.0000E+02    
+ Electric_power_for_heating_and_current_drive_(MW)_______________________ (pinjwp)______________________      1.5043E+02    
+ Electric_power_for_primary_coolant_pumps_(MW)___________________________ (htpmw)_______________________      1.8742E+02    
+ Electric_power_for_vacuum_pumps_(MW)____________________________________ (vachtmw)_____________________      5.0000E-01    
+ Electric_power_for_tritium_plant_(MW)___________________________________ (trithtmw)____________________      1.5000E+01    
+ Electric_power_for_cryoplant_(MW)_______________________________________ (crypmw)______________________      3.4704E+01    
+ Electric_power_for_TF_coils_(MW)________________________________________ (tfacpd)______________________      9.3619E+00    
+ Electric_power_for_PF_coils_(MW)________________________________________ (pfwpmw)______________________      1.2444E+00    
+ All_other_internal_electric_power_requirements_(MW)_____________________ (fachtmw)_____________________      5.5246E+01    
+ Total_(MW)______________________________________________________________ (tot_plant_power)_____________      8.5391E+02    
+ Total_(MW)______________________________________________________________ ______________________________      8.5391E+02    
+ Gross_electrical_output*_(MW)___________________________________________ (pgrossmw)____________________      8.5391E+02    
+ Fusion_power_(MW)_______________________________________________________ (powfmw)______________________      1.5926E+03    
+ Power_from_energy_multiplication_in_blanket_and_shield_(MW)_____________ (emultmw)_____________________      3.0312E+02    
+ Total_(MW)______________________________________________________________ ______________________________      1.8958E+03    
+ Net_electrical_output_(MW)	_____________________________________________ (pnetelmw)____________________      4.0000E+02    
+ Heat_rejected_by_main_power_conversion_circuit_(MW)_____________________ (rejected_main)_______________      1.2809E+03    
+ Heat_rejected_by_other_cooling_circuits_(MW)____________________________ (psechtmw)____________________      2.1566E+02    
+ Total_(MW)______________________________________________________________ ______________________________      1.8965E+03    
+ Net_electric_power_/_total_nuclear_power_(%)____________________________ (pnetelmw/(powfmw+emultmw)____      2.1100E+01    
+ Net_electric_power_/_total_fusion_power_(%)_____________________________ (pnetelmw/powfmw)_____________      2.5116E+01    
+ Gross_electric_power*_/_high_grade_heat_(%)_____________________________ (etath)_______________________      4.0000E+01    
+ Recirculating_power_fraction____________________________________________ (cirpowfr)____________________      5.3156E-01    
+ # Water usage during plant operation (secondary cooling) #
+ Volume_used_in_cooling_tower_(m3/day)___________________________________ (waterusetower)_______________      5.4455E+04 OP 
+ Volume_used_in_recirculating_water_system_(m3/day)______________________ (wateruserecirc)______________      1.8271E+04 OP 
+ Volume_used_in_once-through_water_system_(m3/day)_______________________ (wateruseonethru)_____________      1.7906E+06 OP 
+ # Errors and Warnings #
+ # Errors and Warnings #
+ PROCESS_error_status_flag_______________________________________________ (error_status)________________              2    
+ Final_error_identifier__________________________________________________ (error_id)____________________            244    
+ # End of PROCESS Output #
+ # End of PROCESS Output #
+ # Copy of PROCESS Input Follows #
+************************************************************************************************************************
+*****                                                               *****
+*****                  Generic large tokamak file                   *****
+*****                    James Morris, UKAEA                        *****
+*****                          28/06/23                             *****
+*****                                                               *****
+*************************************************************************
+
+* Run Information *
+*******************
+
+runtitle = Generic large tokamak
+
+* Figure of merit - minimise major radius
+minmax = 1
+
+* Error tolerance for VMCON
+epsvmc = 1e-7
+
+* Constraint Equations - Consistency Equations *
+************************************************
+
+* Beta consistency *
+*------------------*
+icc = 1
+ixc = 5 * beta
+beta = 0.03
+
+* Global power balance *
+*----------------------*
+icc = 2
+
+* Radial build consistency *
+*--------------------------*
+icc = 11
+
+* Constraint Equations - Limit Equations *
+******************************************
+
+* Density upper limit *
+*---------------------*
+icc = 5
+ixc = 6 * dene [m-3]
+fdene = 1.2
+dene = 7.5E19
+
+* Neutron wall load upper limit *
+*-------------------------------*
+icc = 8
+ixc = 14 * fwalld
+fwalld = 1.0
+* wall load limit [MW/m2]
+walalw = 2.0
+
+* Fusion power upper limit *
+*--------------------------*
+
+icc = 9
+ixc = 26 * ffuspow
+* Maximum allowable value fusion power [MW]
+powfmax = 3000
+
+* Burn time lower limit *
+*-----------------------*
+icc = 13 
+ixc = 21 * ftburn
+* minimum burn time [s]
+tbrnmn = 7200.0
+
+* L-H threshold scaling *
+*-----------------------*
+icc = 15
+ixc = 103 * flhthresh
+boundu(103) = 10.0
+
+* Injection power upper limit *
+*-----------------------------*
+icc = 30
+ixc = 46 * fpinj
+* Maximum allowable value for injected power [MW]
+pinjalw = 200.0
+
+* Net electric power lower limit *
+*--------------------------------*
+icc = 16
+ixc = 25 * fpnetel
+* Minimum allowable value for net eletric power [MW]
+pnetelin = 400.0
+
+* Beta upper limit *
+*------------------*
+icc = 24
+ixc = 36 * fbetatry
+fbetatry = 0.5
+
+* Max TF field *
+*--------------*
+icc = 25
+ixc = 35 * fpeakb
+* Maximum allowable value for toroidal magnetic field [T]
+bmxlim = 14.0
+
+* Central solenoid EOF current density upper limit *
+*--------------------------------------------------*
+icc = 26
+ixc = 37 * coheof [A/m2]
+ixc = 38 * fjohc
+boundu(38) = 1.0
+coheof = 1.5E7
+fjohc = 0.6
+
+* Central solenoid BOP current density upper limit *
+*--------------------------------------------------*
+icc = 27
+ixc = 39 * fjohc0
+ixc = 41 * fcohbop
+boundu(39) = 1.0
+fjohc0 = 0.6
+fcohbop = 0.9
+
+* I_op/I_Crit TF coil limit *
+*---------------------------*
+icc = 33
+ixc = 50 * fiooic
+boundu(50) = 1.0
+fiooic = 0.65
+
+* Dump voltage upper limit *
+*--------------------------*
+icc = 34
+ixc = 51 * fvdump
+ixc = 52 * vdalw [kV]
+boundu(52) = 10.0
+fvdump = 1.0
+vdalw = 10.0
+
+* J_winding pack protection *
+*---------------------------*
+icc = 35 
+ixc = 53 * fjprot
+fjprot = 1.0
+
+* TF temp marg lower limit *
+*--------------------------*
+icc = 36
+ixc = 54 * ftmargtf
+* Minimum allowable temperature margin [K]
+tmargmin = 1.5
+
+* CS coil temp margin lower limit *
+*---------------------------------*
+icc = 60
+ixc = 106 * ftmargoh
+tmargmin_cs = 1.5
+
+* Lower limit on taup/taueff (ratio alpha particle/energy confinement times) *
+*-------------------------------------------------------------------------------*
+icc = 62 
+ixc = 110 * ftaulimit
+taulimit = 5.0
+
+* dump time constraint for VV stresses *
+*--------------------------------------*
+icc = 65
+ixc = 113 * ftaucq
+ftaucq = 0.9
+sigvvall = 1.0e8
+
+* CS stress limit *
+*-----------------*
+icc = 72
+ixc = 123 * foh_stress
+foh_stress = 1.0
+* allowable hoop stress in Central Solenoid structural material [Pa]
+alstroh = 7.5D8
+
+* neped<ne0 *
+*------------------*
+
+icc = 81
+ixc = 154 *fne0
+
+* PsepBt/qAR limit *
+*------------------*
+
+icc = 68
+ixc = 117 *fpsepbqar
+psepbqarmax = 10.0
+
+* TF coil stress limits *
+*-----------------------*
+
+icc = 31 * TF coil case stress upper limit
+ixc = 48 * fstrcase
+icc = 32 * TF coil conduit stress upper limit
+ixc = 49 * fstrcond
+sig_tf_case_max  = 7.5E8 * Allowable maximum shear stress in TF coil case (Tresca criterion) (Pa)
+sig_tf_wp_max    = 7.5E8 * Allowable maximum shear stress in TF coil conduit (Tresca criterion) (Pa)
+
+* Iteration Variables *
+***********************
+
+* bt [T]
+ixc = 2
+bt = 5.7
+
+* rmajor [m]
+ixc = 3
+boundl(3) = 8.0
+boundu(3) = 9.0
+rmajor = 8.0
+
+* te [keV]
+ixc = 4
+boundu(4) = 100.0
+te = 12.0
+
+* h factor
+ixc = 10
+boundu(10) = 1.2
+
+* tfcth [m]
+ixc = 13
+boundl(13) = 0.7
+tfcth = 1.2
+
+* ohcth [m]
+ixc = 16
+boundl(16) = 0.3
+ohcth = 0.5
+
+* q
+ixc = 18
+boundl(18) = 3.0
+q = 3.5
+
+* Machine bore [m]
+ixc = 29
+boundl(29) = 0.1
+bore = 2.0
+
+* fvsbrnni
+ixc = 44
+fvsbrnni = 0.4
+
+* tdmptf [s]
+ixc = 56
+tdmptf = 25.0
+
+* thkcas [m]
+ixc = 57
+thkcas = 0.5
+
+* TF coil conduit thickness [m]
+ixc = 58
+boundl(58) = 0.008
+thwcndut = 0.008
+
+* copper fraction of cable conductor (TF coils)
+ixc = 59 
+boundl(59) = 0.50
+boundu(59) = 0.94
+fcutfsu = 0.8
+
+* TF Current per turn [A]
+ixc = 60
+boundl(60) = 65000.0
+boundu(60) = 90000.0
+cpttf = 65000.0
+
+* Helium fraction (ralpne)
+ixc = 109
+boundu(109) = 0.1
+
+* CS steel fraction, oh_steel_frac
+ixc = 122
+oh_steel_frac = 0.8
+
+* core impurity fraction, Xenon
+ixc = 135
+fimp(13) = 0.00038
+
+* TF winding pack thickness [m]
+ixc = 140
+boundl(140) = 0.4
+dr_tf_wp = 0.5
+
+* Inputs *
+**********
+
+* radial build *
+****************
+
+* Thermal shield radial thickness [m]
+thshield_ib = 0.050
+thshield_ob = 0.050
+thshield_vb = 0.050
+
+* Gap between thermal shield and vacuum vessel [m]
+gapds = 0.02
+
+* Inboard vacuum vessel radial thickness [m]
+d_vv_in  = 0.3
+
+* Outboard vacuum vessel radial thickness [m]
+d_vv_out = 0.3
+
+* Topside vacuum vessel radial thickness [m]
+d_vv_top = 0.3
+
+* Underside vacuum vessel radial thickness [m]
+d_vv_bot = 0.3
+
+* Inboard vacuum vessel thickness [m]
+shldith = 0.3
+
+* Gap between vacuum vessel and blanket [m]
+vvblgap = 0.02
+
+* Inboard blanket radial thickness [m]
+blnkith = 0.7
+
+* Inboard scrape-off-layer radial thickness [m]
+scrapli = 0.25
+
+* Outboard scrape-off-layer radial thickness [m]
+scraplo = 0.25
+
+* Outboard blanket radial thickness [m]
+blnkoth = 1.0
+
+* Cryostat thickness [m]
+ddwex = 0.15 
+
+* Outboard shield thickness [m]
+shldoth = 0.800
+
+* Divertor structure vertical thickness [m]
+divfix = 0.62 
+
+* Coolant void fraction in shield
+vfshld = 0.60 
+
+* physics *
+***********
+
+* aspect ratio
+aspect = 3.0
+
+* H factor
+hfact = 1.1
+
+* Switch for plasma cross-sectional shape calc - use input kappa & triang
+ishape = 0 
+
+* Plasma elongation [-]
+kappa = 1.85
+
+* Plasma triangularity [-]
+triang = 0.5
+
+* Density profile index
+alphan = 1.00
+
+* Temperature profile index
+alphat = 1.45 
+
+* (troyon-like) coefficient for beta scaling
+dnbeta = 3.0
+
+* Zohm elongation scaling adjustment factor (ishape=2; 3)
+fkzohm = 1.02
+
+* Ejima coefficient for resistive startup V-s formula
+gamma = 0.3
+
+* Switch for bootstrap current scaling
+ibss = 4
+
+* Switch for beta limit scaling
+iculbl = 1
+
+* Switch for plasma current scaling
+icurr    = 4
+
+* Switch for density limit to enforce
+idensl = 7
+
+* Switch for fast alpha pressure calculation
+ifalphap = 1
+
+* Switch for inverse quadrature in l-mode scaling laws 5 and 9
+iinvqd = 1
+
+* Switch for pedestal profiles
+ipedestal = 1
+
+* fraction of Greenwald density to set as separatrix density
+fgwsep = 0.5
+
+* Electron density of pedestal [m-3] (ipedestal=1) - initial value
+neped = 0.5e20
+
+* Electron density at separatrix [m-3] (ipedestal=1) - initial value
+nesep = 0.2e20
+
+* R/a of density pedestal (ipedestal=1)
+rhopedn = 0.94
+
+* R/a of temperature pedestal (ipedestal=1)
+rhopedt = 0.94
+
+* Temperature profile index beta (ipedestal=1)
+tbeta = 2.0
+
+* Electron temperature of pedestal (kev) (ipedestal=1)
+teped = 5.5
+
+* Electron temperature at separatrix (kev) (ipedestal=1)
+tesep = 0.1
+
+* Switch for current profile consistency
+iprofile = 1
+
+* Switch for energy confinement time scaling law
+isc = 34
+
+* Safety factor on axis
+q0 = 1.0
+
+* Switch for single null / double null plasma
+i_single_null = 1
+
+* Synchrotron wall reflectivity factor
+ssync = 0.6
+
+* plasma resistivity pre-factor
+plasma_res_factor = 0.7
+
+* Timings *
+***********
+
+* Switch for reactor model - pulsed
+lpulse = 1
+
+* dwell time [s]
+tdwell = 1800.0
+
+* Switch for pulse timing calculations
+pulsetimings = 0
+
+* CS ramp up time [s]
+tramp = 500.0
+
+* Current drive *
+*---------------*
+
+* Maximum fraction of plasma current from bootstrap
+bscfmax = 0.95
+
+* Switch for current drive efficiency model
+iefrf = 10
+
+* ECRH gamma_CD (user input)
+gamma_ecrh = 0.30
+
+* ECRH wall-plug efficiency
+etaech = 0.5
+
+* Amount of injected power for heating [MW]
+pheat = 75.0
+
+* Impurity radiation *
+**********************
+
+* Normalised radius defining the 'core' region
+coreradius = 0.75
+
+* fraction of radiation from 'core' region that is subtracted
+coreradiationfraction = 0.6
+
+* impurity array
+fimp(1) = 0.9
+fimp(2) = 0.1
+fimp(3) = 0.0
+fimp(4) = 0.0
+fimp(5) = 0.0
+fimp(6) = 0.0
+fimp(7) = 0.0
+fimp(8) = 0.0
+fimp(9) = 0.0
+fimp(10) = 0.0
+fimp(11) = 0.0
+fimp(12) = 0.0
+fimp(13) = 0.00038
+fimp(14) = 0.000005
+
+* Heat transport *
+******************
+
+* Switch for power flow model
+ipowerflow = 0
+
+* Switch for pumping power for primary coolant
+primary_pumping = 3
+
+* Electrical efficiency of FW and blanket coolant pumps
+etahtp = 0.87
+
+* Isentropic efficiency of FW and blanket coolant pumps
+etaiso = 0.9
+
+* Switch for secondary cycle - User input thermal-electric efficiency
+secondary_cycle = 2
+
+* Thermal to electric conversion efficiency
+etath = 0.4
+
+* Switch for shield thermal power density
+iprimshld = 1
+
+* Nuclear heating switch
+inuclear = 1
+
+* Nuclear heating of cryogenic components (MW)
+qnuc = 1.3E4
+
+* Costs *
+*********
+
+* Switch off costs output
+output_costs = 1
+
+* Costs model switch
+cost_model = 0
+
+* Total plant availability fraction;
+cfactr = 0.80
+
+* Switch for plant availability model
+iavail = 0
+
+* PF Coils *
+************
+
+* Peak current per turn input for PF coil i [A]
+cptdin = 4.0d4, 4.0d4, 4.0d4, 4.0d4, 4.0d4, 4.0d4, 4.0d4, 4.0d4
+
+* Switch for locating scheme of pf coil group i
+ipfloc = 2,2,3,3
+
+* Switch for superconductor material in pf coils
+isumatpf = 3
+
+* Number of pf coils in group j
+ncls = 1,1,2,2
+
+* Number of groups of PF coils
+ngrp = 4
+
+* Central solenoid height / TF coil internal height
+ohhghf = 0.9
+
+* Average winding pack current density of PF coil i [A/m2]
+rjconpf  = 1.1d7, 1.1d7, 6.d6, 6.d6, 8.d6, 8.0d6, 8.0d6, 8.0d6
+
+* Offset of radial position of ipfloc=2 pf coils [m]
+rpf2 = -1.825 
+
+zref(1) = 3.6
+zref(2) = 1.2
+zref(3) = 1.0
+zref(4) = 2.8
+zref(5) = 1.0
+zref(6) = 1.0
+zref(7) = 1.0
+zref(8) = 1.0
+
+* copper fraction of strand in central solenoid cable
+fcuohsu = 0.70
+
+* ITER Nb3Sn parameterisation
+isumatoh = 1
+
+* TF Coil *
+***********
+
+* Inboard TF coil plasma-facing case thickness [m]
+casthi = 0.06
+
+* Inboard TF coil side-wall case thickness [m]
+casths = 0.05
+
+* Max allowable TF ripple at plasma edge [%]
+ripmax = 0.6
+
+* Number of TF coils
+n_tf = 16
+
+* Groundwall insulation thickness [m]
+tinstf = 0.008
+
+* Diameter if He channel in winding [m]
+dhecoil = 0.01
+
+* Helium coolant temperature [K]
+tftmp = 4.75
+
+* Coolant fraction of TF cable [-]
+vftf = 0.3
+
+* Conductor type switch (ITER Nb3Sn)
+i_tf_sc_mat = 1
diff --git a/examples/examples.ipynb b/examples/examples.ipynb
index 457b6e873b..a5b98f02e6 100644
--- a/examples/examples.ipynb
+++ b/examples/examples.ipynb
@@ -22,6 +22,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "%load_ext autoreload\n",
+    "%autoreload 2\n",
     "from pathlib import Path\n",
     "from tempfile import TemporaryDirectory\n",
     "from shutil import copy\n",
@@ -79,6 +81,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "The IN.DAT file does not contain any obsolete variables.\n",
+      " tmargmin_cs and tmargmin should not both be specified in IN.DAT.\n",
+      " tmargmin_cs has been ignored.\n",
       " \n",
       " **************************************************************************************************************\n",
       " ************************************************** PROCESS ***************************************************\n",
@@ -86,30 +91,30 @@
       " **************************************************************************************************************\n",
       " \n",
       "   Program :\n",
-      "   Version : 2.2.0   Release Date :: 2021-10-26\n",
-      "   Tag No. : v2.1-952-gc763130e\n",
-      "    Branch : 1487-create-example-jupyter-notebook\n",
-      "   Git log : Handle\\ notebook\\ file\\ modifications\\ with\\ temporary\\ dirs\n",
-      " Date/time :  2 Dec 2021 14:36:58 +00:00(hh:mm) UTC\n",
-      "      User : jon\n",
-      "  Computer : jon-Precision-3560\n",
-      " Directory : /home/jon/code/process/examples\n",
-      "     Input : /tmp/tmpqs0oqjgx/baseline_2018_IN.DAT\n",
-      " Run title : Run Title (change this line using input variable 'runtitle')\n",
+      "   Version : 2.4.0   Release Date :: 2022-05-18\n",
+      "   Tag No. :\n",
+      "    Branch : main\n",
+      "   Git log : Remove obsolete Fortran\n",
+      " Date/time : 12 Sep 2023 13:18:50 +01:00(hh:mm) UTC\n",
+      "      User : clair\n",
+      "  Computer : clair-Precision-3570\n",
+      " Directory : /home/clair/PROCESS/examples\n",
+      "     Input : /tmp/tmpo_5mtmo2/large_tokamak_IN.DAT\n",
+      " Run title : Generic large tokamak\n",
       "  Run type : Reactor concept design: Pulsed tokamak model, (c) CCFE\n",
       " \n",
       " **************************************************************************************************************\n",
       " \n",
-      "   Equality constraints : 24\n",
+      "   Equality constraints : 26\n",
       " Inequality constraints : 00\n",
-      "      Total constraints : 24\n",
-      "    Iteration variables : 40\n",
+      "      Total constraints : 26\n",
+      "    Iteration variables : 45\n",
       "         Max iterations : 200\n",
       "       Figure of merit  : +01  -- minimise major radius.\n",
-      "  Convergence parameter : 1.00E-08\n",
+      "  Convergence parameter : 1.00E-07\n",
       " \n",
       " **************************************************************************************************************\n",
-      " \n",
+      "8 | Convergence Parameter: 3.403E-10\n",
       " \n",
       " ************************************* PROCESS found a feasible solution **************************************\n",
       " \n",
@@ -121,12 +126,8 @@
       " ID  LEVEL  MESSAGE\n",
       "150     2   CHECK: Lower limit of volume averaged electron temperature (te) has been raised \n",
       "  \n",
-      "155     2   CHECK: dene used as iteration variable without constraint 81 (neped<ne0)        \n",
-      "  \n",
       "244     2   PHYSICS: Diamagnetic fraction is more than 1%, but not calculated. Consider usin\n",
       "  \n",
-      "135     1   OUTPF: CS not using max current density: further optimisation may be possible   \n",
-      "  \n",
       " \n",
       " ******************************************* End of PROCESS Output ********************************************\n",
       " \n"
@@ -137,11 +138,12 @@
     "from process.main import SingleRun\n",
     "\n",
     "# Define input file name relative to project dir, then copy to temp dir\n",
-    "input_rel = \"tracking/baseline_2018/baseline_2018_IN.DAT\"\n",
+    "input_rel = \"tests/integration/data/large_tokamak_IN.DAT\"\n",
     "temp_dir, temp_input_path = copy_to_temp_dir(input_rel)\n",
     "\n",
     "# Run process on an input file in a temporary directory\n",
-    "single_run = SingleRun(str(temp_input_path))\n"
+    "single_run = SingleRun(str(temp_input_path))\n",
+    "single_run.run()"
    ]
   },
   {
@@ -164,8 +166,15 @@
       "Key 'nbshield' not in MFILE. KeyError! Check MFILE\n",
       "Key 'rtanbeam' not in MFILE. KeyError! Check MFILE\n",
       "Key 'rtanmax' not in MFILE. KeyError! Check MFILE\n",
+      "Key 'kallenbach_switch' not in MFILE. KeyError! Check MFILE\n",
+      "Key 'thshield_vb' not in MFILE. KeyError! Check MFILE\n",
+      "Key 'thshield_vb' not in MFILE. KeyError! Check MFILE\n",
+      "Key 'rpf[6]' not in MFILE. KeyError! Check MFILE\n",
+      "Key 'zpf[6]' not in MFILE. KeyError! Check MFILE\n",
+      "Key 'pfdr(6)' not in MFILE. KeyError! Check MFILE\n",
+      "Key 'pfdz(6)' not in MFILE. KeyError! Check MFILE\n",
       "Key 'alstrtf' not in MFILE. KeyError! Check MFILE\n",
-      "Key 'coe' not in MFILE. KeyError! Check MFILE\n"
+      "Key 'pinjmwfix' not in MFILE. KeyError! Check MFILE\n"
      ]
     }
    ],
@@ -209,7 +218,7 @@
    "metadata": {},
    "source": [
     "## View key output variables\n",
-    "Run the Starfire scenario using `SingleRun` to set some values on the `CostModel2` instance and then print them."
+    "Run the large tokamak scenario using `SingleRun` to set some values on the `CostModel` instance and then print them."
    ]
   },
   {
@@ -221,6 +230,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "The IN.DAT file does not contain any obsolete variables.\n",
+      " tmargmin_cs and tmargmin should not both be specified in IN.DAT.\n",
+      " tmargmin_cs has been ignored.\n",
       " \n",
       " **************************************************************************************************************\n",
       " ************************************************** PROCESS ***************************************************\n",
@@ -228,30 +240,30 @@
       " **************************************************************************************************************\n",
       " \n",
       "   Program :\n",
-      "   Version : 2.2.0   Release Date :: 2021-10-26\n",
-      "   Tag No. : v2.1-952-gc763130e\n",
-      "    Branch : 1487-create-example-jupyter-notebook\n",
-      "   Git log : Handle\\ notebook\\ file\\ modifications\\ with\\ temporary\\ dirs\n",
-      " Date/time :  2 Dec 2021 14:37:04 +00:00(hh:mm) UTC\n",
-      "      User : jon\n",
-      "  Computer : jon-Precision-3560\n",
-      " Directory : /home/jon/code/process/examples\n",
-      "     Input : /tmp/tmpoh0t0udk/IN.DAT\n",
-      " Run title : starfire\n",
-      "  Run type : Reactor concept design: Steady-state tokamak model, (c) CCFE\n",
+      "   Version : 2.4.0   Release Date :: 2022-05-18\n",
+      "   Tag No. :\n",
+      "    Branch : main\n",
+      "   Git log : Remove obsolete Fortran\n",
+      " Date/time : 12 Sep 2023 13:18:58 +01:00(hh:mm) UTC\n",
+      "      User : clair\n",
+      "  Computer : clair-Precision-3570\n",
+      " Directory : /home/clair/PROCESS/examples\n",
+      "     Input : /tmp/tmpbl148do7/large_tokamak_IN.DAT\n",
+      " Run title : Generic large tokamak\n",
+      "  Run type : Reactor concept design: Pulsed tokamak model, (c) CCFE\n",
       " \n",
       " **************************************************************************************************************\n",
       " \n",
-      "   Equality constraints : 12\n",
+      "   Equality constraints : 26\n",
       " Inequality constraints : 00\n",
-      "      Total constraints : 12\n",
-      "    Iteration variables : 26\n",
+      "      Total constraints : 26\n",
+      "    Iteration variables : 45\n",
       "         Max iterations : 200\n",
-      "       Figure of merit  : -05  -- maximise fusion gain.\n",
-      "  Convergence parameter : 1.00E-08\n",
+      "       Figure of merit  : +01  -- minimise major radius.\n",
+      "  Convergence parameter : 1.00E-07\n",
       " \n",
       " **************************************************************************************************************\n",
-      " \n",
+      "8 | Convergence Parameter: 3.403E-10\n",
       " \n",
       " ************************************* PROCESS found a feasible solution **************************************\n",
       " \n",
@@ -261,15 +273,9 @@
       " PROCESS status flag:   Warning messages                                  \n",
       " \n",
       " ID  LEVEL  MESSAGE\n",
-      "244     2   PHYSICS: Diamagnetic fraction is more than 1%, but not calculated. Consider usin\n",
-      "  \n",
-      " 62     1   RADIALB: Ripple result may be inaccurate, as the fit has been extrapolated      \n",
-      "  \n",
-      "142     1   RADIALB: (TF coil ripple calculation) No of TF coils not between 16 and 20 inclu\n",
-      " Integer diagnostic values for this error:\n",
-      "   1)             12\n",
+      "150     2   CHECK: Lower limit of volume averaged electron temperature (te) has been raised \n",
       "  \n",
-      "135     1   OUTPF: CS not using max current density: further optimisation may be possible   \n",
+      "244     2   PHYSICS: Diamagnetic fraction is more than 1%, but not calculated. Consider usin\n",
       "  \n",
       " \n",
       " ******************************************* End of PROCESS Output ********************************************\n",
@@ -279,11 +285,12 @@
    ],
    "source": [
     "# Define input file name relative to project dir\n",
-    "input_rel = \"tests/regression/scenarios/starfire/IN.DAT\"\n",
+    "input_rel = \"tests/integration/data/large_tokamak_IN.DAT\"\n",
     "temp_dir, temp_input_path = copy_to_temp_dir(input_rel)\n",
     "\n",
     "# Run process on an input file\n",
-    "single_run = SingleRun(str(temp_input_path))\n"
+    "single_run = SingleRun(str(temp_input_path))\n",
+    "single_run.run()"
    ]
   },
   {
@@ -295,17 +302,17 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Building and Site Service Infrastructure: 2.738e+03 M$\n",
-      "Reactor plant equipment: 1.251e+04 M$\n"
+      "Heat transport system: 3.026e+02 M$\n",
+      "Electrical plant equipment: 4.085e+01 M$\n"
      ]
     }
    ],
    "source": [
-    "# Print some values on the CostModel2 instance\n",
+    "# Print some values on the CostModel instance\n",
     "print(\n",
-    "    f\"Building and Site Service Infrastructure: {single_run.models.costs_step.step21:.3e} M$\"\n",
+    "    f\"Heat transport system: {single_run.models.costs.c226:.3e} M$\"\n",
     ")\n",
-    "print(f\"Reactor plant equipment: {single_run.models.costs_step.step22:.3e} M$\")\n"
+    "print(f\"Electrical plant equipment: {single_run.models.costs.c24:.3e} M$\")\n"
    ]
   },
   {
@@ -336,12 +343,13 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "Working directory:   /tmp/tmphpqo6q1p\n",
-      "Original IN.DAT:     /tmp/tmphpqo6q1p/ref_IN.DAT\n",
+      "Working directory:   /tmp/tmpce8ehdb7\n",
+      "Original IN.DAT:     /tmp/tmpce8ehdb7/large_tokamak_IN.DAT\n",
       "PROCESS binary:      process.exe\n",
       "Number of iterations 1000\n",
-      "variable range factor 1.9\n",
-      "Config file          /tmp/tmphpqo6q1p/run_process.conf\n",
+      "random seed          5\n",
+      "variable range factor 1.5\n",
+      "Config file          /tmp/tmpce8ehdb7/run_process.conf\n",
       "Comment   ipedestal = 1, with other variables appropriate for running PLASMOD\n",
       "\n",
       "no. allowed UNFEASIBLE points 0\n",
@@ -352,19 +360,47 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "cp: '/tmp/tmphpqo6q1p/run_process.conf' and '/tmp/tmphpqo6q1p/run_process.conf' are the same file\n",
-      "Warning: Line below is causing a problem. Check that line in IN.DAT is valid. Line skipped!\n",
-      "ratecdol = 0.06 * Effective cost of money in constant dollars\n",
-      "\n",
-      "Warning: Line below is causing a problem. Check that line in IN.DAT is valid. Line skipped!\n",
-      "alstrtf  = 5.8E8 * allowable stress in TF coil (Pa)\n",
-      "\n"
+      "cp: '/tmp/tmpce8ehdb7/run_process.conf' and '/tmp/tmpce8ehdb7/run_process.conf' are the same file\n",
+      "Warning: boundu for vdalw lies out of allowed input range!\n",
+      " Reset boundu(52) to 100.0\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      " tmargmin_cs and tmargmin should not both be specified in IN.DAT.\n",
+      " tmargmin_cs has been ignored.\n",
+      " \n",
+      " **************************************************************************************************************\n",
+      " ************************************************** PROCESS ***************************************************\n",
+      " ************************************** Power Reactor Optimisation Code ***************************************\n",
+      " **************************************************************************************************************\n",
+      " \n",
+      "   Program :\n",
+      "   Version : 2.4.0   Release Date :: 2022-05-18\n",
+      "   Tag No. :\n",
+      "    Branch : main\n",
+      "   Git log : Remove obsolete Fortran\n",
+      " Date/time : 12 Sep 2023 13:19:14 +01:00(hh:mm) UTC\n",
+      "      User : clair\n",
+      "  Computer : clair-Precision-3570\n",
+      " Directory : /tmp/tmpce8ehdb7\n",
+      "     Input : IN.DAT\n",
+      " Run title : generic large tokamak\n",
+      "  Run type : Reactor concept design: Pulsed tokamak model, (c) CCFE\n",
+      " \n",
+      " **************************************************************************************************************\n",
+      " \n",
+      "   Equality constraints : 26\n",
+      " Inequality constraints : 00\n",
+      "      Total constraints : 26\n",
+      "    Iteration variables : 45\n",
+      "         Max iterations : 200\n",
+      "       Figure of merit  : +01  -- minimise major radius.\n",
+      "  Convergence parameter : 1.00E-07\n",
+      " \n",
+      " **************************************************************************************************************\n",
       "0 PROCESS run started ...finished.\n",
       "\n",
       "There were warnings in the final PROCESS run. Please check the log file!\n",
@@ -381,7 +417,7 @@
     "\n",
     "# .conf file relies on a separate input file too; copy this as well\n",
     "# TODO This double input file requirement needs to be removed\n",
-    "input_rel_2 = \"tests/integration/data/ref_IN.DAT\"\n",
+    "input_rel_2 = \"tests/integration/data/large_tokamak_IN.DAT\"\n",
     "copy(PROJ_DIR / input_rel_2, temp_dir.name)\n",
     "\n",
     "# VaryRun uses process_config.py, which changes the current working directory\n",
@@ -391,6 +427,7 @@
     "# needs to be set back after VaryRun()\n",
     "# TODO Remove the os.chdir() from VaryRun\n",
     "cwd = Path.cwd()\n",
+    "\n",
     "vary_run = VaryRun(str(temp_input_path))\n",
     "os.chdir(cwd)\n",
     "\n",
@@ -414,28 +451,24 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "WARNING: The sig_tf_wp_max variable LaTeX label is not defined\n",
-      "WARNING: Please update the 'label' dict\n",
       "Warning : The thwcndut variable LaTeX label is not defined\n",
       "Warning : Please update the 'label' dict\n"
      ]
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
       "text/plain": [
-       "<Figure size 432x288 with 0 Axes>"
+       "<Figure size 640x480 with 0 Axes>"
       ]
      },
      "metadata": {},
@@ -483,7 +516,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.10.12"
   },
   "orig_nbformat": 4
  },
diff --git a/examples/examples.py b/examples/examples.py
index 159af7ebbe..102d2d401d 100644
--- a/examples/examples.py
+++ b/examples/examples.py
@@ -63,22 +63,22 @@ def copy_to_temp_dir(input_rel):
 
 # %%
 
+
 # Define input file name relative to project dir, then copy to temp dir
-input_rel = "tracking/baseline_2018/baseline_2018_IN.DAT"
+input_rel = "tests/integration/data/large_tokamak_IN.DAT"
 temp_dir, temp_input_path = copy_to_temp_dir(input_rel)
 
 # Run process on an input file in a temporary directory
 single_run = SingleRun(str(temp_input_path))
-
 single_run.run()
 
-
 # %% [markdown]
 # ## Plot summary
 # Create a summary PDF of the generated `MFILE.DAT` using `plot_proc`.
 
 # %%
 
+
 # Create a summary PDF
 plot_proc.main(args=["-f", str(single_run.mfile_path)])
 
@@ -103,21 +103,21 @@ def copy_to_temp_dir(input_rel):
 
 # %% [markdown]
 # ## View key output variables
-# Run the Starfire scenario using `SingleRun` to set some values on the `CostModel2` instance and then print them.
+# Run the large tokamak scenario using `SingleRun` to set some values on the `CostModel` instance and then print them.
 
 # %%
 # Define input file name relative to project dir
-input_rel = "tests/regression/scenarios/starfire/IN.DAT"
+input_rel = "tests/integration/data/large_tokamak_IN.DAT"
 temp_dir, temp_input_path = copy_to_temp_dir(input_rel)
 
 # Run process on an input file
 single_run = SingleRun(str(temp_input_path))
-
+single_run.run()
 
 # %%
-# Print some values on the Costs instance
-print(f"Electrical Plant Equipment: {single_run.models.costs.c24:.3e} M$")
-print(f"Divertor: {single_run.models.costs.c2215:.3e} M$")
+# Print some values on the CostModel instance
+print(f"Heat transport system: {single_run.models.costs.c226:.3e} M$")
+print(f"Electrical plant equipment: {single_run.models.costs.c24:.3e} M$")
 
 
 # %%
@@ -137,7 +137,7 @@ def copy_to_temp_dir(input_rel):
 
 # .conf file relies on a separate input file too; copy this as well
 # TODO This double input file requirement needs to be removed
-input_rel_2 = "tests/integration/data/ref_IN.DAT"
+input_rel_2 = "tests/integration/data/large_tokamak_IN.DAT"
 copy(PROJ_DIR / input_rel_2, temp_dir.name)
 
 # VaryRun uses process_config.py, which changes the current working directory
@@ -147,6 +147,7 @@ def copy_to_temp_dir(input_rel):
 # needs to be set back after VaryRun()
 # TODO Remove the os.chdir() from VaryRun
 cwd = Path.cwd()
+
 vary_run = VaryRun(str(temp_input_path))
 os.chdir(cwd)
 
diff --git a/examples/scan.ipynb b/examples/scan.ipynb
index 3bdaf7fe5a..9c64f13c73 100644
--- a/examples/scan.ipynb
+++ b/examples/scan.ipynb
@@ -15,7 +15,7 @@
     "\n",
     "## Scan details\n",
     "\n",
-    "The input file is a scan-enabled version of the baseline 2018 `IN.DAT`, as found in the `tracking` directory. The scan-relevant values are:\n",
+    "The input file is a scan-enabled version of the large tokamak `IN.DAT`, as found in the `tests` directory. The scan-relevant values are:\n",
     "```\n",
     "nsweep = 17 * bmxlim, maximum peak toroidal field (T) (`constraint equation 25`)\n",
     "isweep = 11\n",
@@ -40,6 +40,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "The IN.DAT file does not contain any obsolete variables.\n",
+      " tmargmin_cs and tmargmin should not both be specified in IN.DAT.\n",
+      " tmargmin_cs has been ignored.\n",
       " \n",
       " **************************************************************************************************************\n",
       " ************************************************** PROCESS ***************************************************\n",
@@ -47,81 +50,81 @@
       " **************************************************************************************************************\n",
       " \n",
       "   Program :\n",
-      "   Version : 2.2.0   Release Date :: 2021-10-26\n",
-      "   Tag No. : v2.1-1016-g632b930d\n",
-      "    Branch : 1497-create-scan-notebook-template\n",
-      "   Git log : Merge\\ branch\\ |1487-create-example-jupyter-notebook|\\ into\\ |develop|\n",
-      " Date/time :  7 Dec 2021 16:54:36 +00:00(hh:mm) UTC\n",
-      "      User : jon\n",
-      "  Computer : jon-Precision-3560\n",
-      " Directory : /home/jon/code/process/examples\n",
-      "     Input : /home/jon/code/process/examples/baseline_2018_scan_IN.DAT\n",
-      " Run title : Run Title (change this line using input variable 'runtitle')\n",
+      "   Version : 2.4.0   Release Date :: 2022-05-18\n",
+      "   Tag No. :\n",
+      "    Branch : main\n",
+      "   Git log : Remove obsolete Fortran\n",
+      " Date/time : 12 Sep 2023 16:36:06 +01:00(hh:mm) UTC\n",
+      "      User : clair\n",
+      "  Computer : clair-Precision-3570\n",
+      " Directory : /home/clair/PROCESS/examples\n",
+      "     Input : /home/clair/PROCESS/examples/a_scan_input_file_IN.DAT\n",
+      " Run title : Generic large tokamak\n",
       "  Run type : Reactor concept design: Pulsed tokamak model, (c) CCFE\n",
       " \n",
       " **************************************************************************************************************\n",
       " \n",
-      "   Equality constraints : 24\n",
+      "   Equality constraints : 26\n",
       " Inequality constraints : 00\n",
-      "      Total constraints : 24\n",
-      "    Iteration variables : 40\n",
+      "      Total constraints : 26\n",
+      "    Iteration variables : 45\n",
       "         Max iterations : 200\n",
       "       Figure of merit  : +01  -- minimise major radius.\n",
-      "  Convergence parameter : 1.00E-08\n",
+      "  Convergence parameter : 1.00E-07\n",
       " \n",
       " **************************************************************************************************************\n",
-      "Starting scan point  1: Max_toroidal_field_(T), bmxlim =  1.000E+01\n",
-      " \n",
+      "Starting scan point  1: Max_toroidal_field_(T), bmxlim =  1.100E+01\n",
+      "9 | Convergence Parameter: 9.493E-11\n",
       " \n",
       " ************************************* PROCESS found a feasible solution **************************************\n",
       " \n",
-      "Starting scan point  2: Max_toroidal_field_(T), bmxlim =  1.030E+01\n",
-      " \n",
+      "Starting scan point  2: Max_toroidal_field_(T), bmxlim =  1.120E+01\n",
+      "2 | Convergence Parameter: 3.265E-09\n",
       " \n",
       " ************************************* PROCESS found a feasible solution **************************************\n",
       " \n",
-      "Starting scan point  3: Max_toroidal_field_(T), bmxlim =  1.060E+01\n",
-      " \n",
+      "Starting scan point  3: Max_toroidal_field_(T), bmxlim =  1.140E+01\n",
+      "2 | Convergence Parameter: 3.105E-09\n",
       " \n",
       " ************************************* PROCESS found a feasible solution **************************************\n",
       " \n",
-      "Starting scan point  4: Max_toroidal_field_(T), bmxlim =  1.090E+01\n",
-      " \n",
+      "Starting scan point  4: Max_toroidal_field_(T), bmxlim =  1.160E+01\n",
+      "2 | Convergence Parameter: 3.012E-09\n",
       " \n",
       " ************************************* PROCESS found a feasible solution **************************************\n",
       " \n",
-      "Starting scan point  5: Max_toroidal_field_(T), bmxlim =  1.120E+01\n",
-      " \n",
+      "Starting scan point  5: Max_toroidal_field_(T), bmxlim =  1.180E+01\n",
+      "2 | Convergence Parameter: 2.920E-09\n",
       " \n",
       " ************************************* PROCESS found a feasible solution **************************************\n",
       " \n",
-      "Starting scan point  6: Max_toroidal_field_(T), bmxlim =  1.150E+01\n",
-      " \n",
+      "Starting scan point  6: Max_toroidal_field_(T), bmxlim =  1.200E+01\n",
+      "2 | Convergence Parameter: 2.833E-09\n",
       " \n",
       " ************************************* PROCESS found a feasible solution **************************************\n",
       " \n",
-      "Starting scan point  7: Max_toroidal_field_(T), bmxlim =  1.180E+01\n",
-      " \n",
+      "Starting scan point  7: Max_toroidal_field_(T), bmxlim =  1.220E+01\n",
+      "2 | Convergence Parameter: 2.755E-09\n",
       " \n",
       " ************************************* PROCESS found a feasible solution **************************************\n",
       " \n",
-      "Starting scan point  8: Max_toroidal_field_(T), bmxlim =  1.210E+01\n",
-      " \n",
+      "Starting scan point  8: Max_toroidal_field_(T), bmxlim =  1.240E+01\n",
+      "2 | Convergence Parameter: 2.684E-09\n",
       " \n",
       " ************************************* PROCESS found a feasible solution **************************************\n",
       " \n",
-      "Starting scan point  9: Max_toroidal_field_(T), bmxlim =  1.240E+01\n",
-      " \n",
+      "Starting scan point  9: Max_toroidal_field_(T), bmxlim =  1.260E+01\n",
+      "2 | Convergence Parameter: 2.597E-09\n",
       " \n",
       " ************************************* PROCESS found a feasible solution **************************************\n",
       " \n",
-      "Starting scan point 10: Max_toroidal_field_(T), bmxlim =  1.270E+01\n",
-      " \n",
+      "Starting scan point 10: Max_toroidal_field_(T), bmxlim =  1.280E+01\n",
+      "2 | Convergence Parameter: 2.527E-09\n",
       " \n",
       " ************************************* PROCESS found a feasible solution **************************************\n",
       " \n",
       "Starting scan point 11: Max_toroidal_field_(T), bmxlim =  1.300E+01\n",
-      " \n",
+      "2 | Convergence Parameter: 2.455E-09\n",
       " \n",
       " ************************************* PROCESS found a feasible solution **************************************\n",
       " \n",
@@ -133,35 +136,49 @@
       " ID  LEVEL  MESSAGE\n",
       "150     2   CHECK: Lower limit of volume averaged electron temperature (te) has been raised \n",
       "  \n",
-      "155     2   CHECK: dene used as iteration variable without constraint 81 (neped<ne0)        \n",
+      "243     2   PHYSICS: Predicted plasma driven current is more than upper limit on non-inducti\n",
+      "  \n",
+      "244     2   PHYSICS: Diamagnetic fraction is more than 1%, but not calculated. Consider usin\n",
+      "  \n",
+      "243     2   PHYSICS: Predicted plasma driven current is more than upper limit on non-inducti\n",
+      "  \n",
+      "244     2   PHYSICS: Diamagnetic fraction is more than 1%, but not calculated. Consider usin\n",
+      "  \n",
+      "243     2   PHYSICS: Predicted plasma driven current is more than upper limit on non-inducti\n",
+      "  \n",
+      "244     2   PHYSICS: Diamagnetic fraction is more than 1%, but not calculated. Consider usin\n",
+      "  \n",
+      "243     2   PHYSICS: Predicted plasma driven current is more than upper limit on non-inducti\n",
       "  \n",
       "244     2   PHYSICS: Diamagnetic fraction is more than 1%, but not calculated. Consider usin\n",
       "  \n",
-      "135     1   OUTPF: CS not using max current density: further optimisation may be possible   \n",
+      "243     2   PHYSICS: Predicted plasma driven current is more than upper limit on non-inducti\n",
       "  \n",
       "244     2   PHYSICS: Diamagnetic fraction is more than 1%, but not calculated. Consider usin\n",
       "  \n",
-      "135     1   OUTPF: CS not using max current density: further optimisation may be possible   \n",
+      "243     2   PHYSICS: Predicted plasma driven current is more than upper limit on non-inducti\n",
       "  \n",
       "244     2   PHYSICS: Diamagnetic fraction is more than 1%, but not calculated. Consider usin\n",
       "  \n",
-      "135     1   OUTPF: CS not using max current density: further optimisation may be possible   \n",
+      "243     2   PHYSICS: Predicted plasma driven current is more than upper limit on non-inducti\n",
       "  \n",
       "244     2   PHYSICS: Diamagnetic fraction is more than 1%, but not calculated. Consider usin\n",
       "  \n",
-      "135     1   OUTPF: CS not using max current density: further optimisation may be possible   \n",
+      "243     2   PHYSICS: Predicted plasma driven current is more than upper limit on non-inducti\n",
       "  \n",
       "244     2   PHYSICS: Diamagnetic fraction is more than 1%, but not calculated. Consider usin\n",
       "  \n",
-      "135     1   OUTPF: CS not using max current density: further optimisation may be possible   \n",
+      "243     2   PHYSICS: Predicted plasma driven current is more than upper limit on non-inducti\n",
       "  \n",
       "244     2   PHYSICS: Diamagnetic fraction is more than 1%, but not calculated. Consider usin\n",
       "  \n",
-      "135     1   OUTPF: CS not using max current density: further optimisation may be possible   \n",
+      "243     2   PHYSICS: Predicted plasma driven current is more than upper limit on non-inducti\n",
       "  \n",
       "244     2   PHYSICS: Diamagnetic fraction is more than 1%, but not calculated. Consider usin\n",
       "  \n",
-      "135     1   OUTPF: CS not using max current density: further optimisation may be possible   \n",
+      "243     2   PHYSICS: Predicted plasma driven current is more than upper limit on non-inducti\n",
+      "  \n",
+      "244     2   PHYSICS: Diamagnetic fraction is more than 1%, but not calculated. Consider usin\n",
       "  \n",
       " \n",
       " ******************************************* End of PROCESS Output ********************************************\n",
@@ -173,11 +190,12 @@
     "from process.main import SingleRun\n",
     "from pathlib import Path\n",
     "\n",
-    "prefix = \"a_scan_input_file\"\n",
+    "prefix = \"a_scan_input_file_\"\n",
     "input_name = Path(prefix + \"IN.DAT\")\n",
     "\n",
     "# Perform a SingleRun on a scan-enabled input file\n",
-    "single_run = SingleRun(str(input_name))\n"
+    "single_run = SingleRun(str(input_name))\n",
+    "single_run.run()"
    ]
   },
   {
@@ -203,65 +221,59 @@
    },
    "outputs": [
     {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Warning : `capcost` does not exist in PROCESS dicts\n",
-      "Warning : `capcost` will not be output\n"
-     ]
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnYAAAHWCAYAAAD6oMSKAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAABg4UlEQVR4nO3dd1xV9f8H8NfhcrmADEGmiogTFbe4c+UuzTJnDsRvQ3OVVq5SUr/2K02LsqwcmbtM0zQHiQ3NTBlOcATiQBGRLZfLvZ/fH8T9Sgy5cDev5+PBozjnc8553w+Ol+dzPp8jCSEEiIiIiMji2Zi6ACIiIiLSDwY7IiIiIivBYEdERERkJRjsiIiIiKwEgx0RERGRlWCwIyIiIrISDHZEREREVoLBjoiIiMhK2Jq6ACpJo9Hg9u3bcHZ2hiRJpi6HiIiITEgIgaysLNSuXRs2NuXfk2OwM0O3b9+Gn5+fqcsgIiIiM3Ljxg3UrVu33DYMdmbI2dkZQOEP0MXFxcTVWAaVSoXDhw+jf//+kMvlpi7HarGfjYP9bHjsY+NgP+tHZmYm/Pz8tPmgPAx2Zqho+NXFxYXBroJUKhUcHR3h4uLCPzwMiP1sHOxnw2MfGwf7Wb8q8ngWJ08QERERWQkGOyIiIiIrwWBHREREZCUY7IiIiIisBIMdERERkZVgsCMiIiKyEgx2RERERFaCwY6IiIjISjDYEREREVkJvnmCiIiIqJLUGoFTCWlIycqDl7M9Oga4Q2bz+DdEGAqDHREREVElHDyfjLB9F5Gckafd5utqj0VDmmNgkK9JauJQLBEREZGODp5PxpTNUcVCHQDcycjDlM1ROHg+2SR1MdgRERER6UCtEQjbdxGilH1F28L2XYRaU1oLw2KwIyIiItLBqYS0EnfqHiUAJGfk4VRCmvGK+geDHREREZEOUrLKDnWVaadPDHZEREREOvByttdrO31isCMiIiLSgSQBDnYylLWoiYTC2bEdA9yNWRYALndCREREVCFqjcCnkVexOuIyiuZFSECxSRRFYW/RkOYmWc+OwY6IiIjoMe5m5mHm9mic/LtwQsRzbevgiSaeeP9gXLGJFD4mXseOwY6IiIioHEfj7mLOt2eRlpMPRzsZljwThOHt6wIAhrauzTdPEBEREVmCz3+5hvd+igMAtKjtgvAxbdHA00m7X2YjoUvDWqYqrwQGOyIiIqIydG5QC3KZhHGd/TF3UCAUtjJTl1QuBjsiIiKiR1y/nwP/WjUAAG38auLo7F7wc3c0cVUVw+VOiIiIiADk5hfgjW9j0W/Vr7iUnKndbimhDuAdOyIiIiJcvJ2Jadui8Pe9HNhIwJnrD9DM18XUZemMwY6IiIiqLSEEvjl5HUv3X0J+gQY+LvZYPboNOjcwnwkRumCwIyIiomopPTcfb353Focv3gUAPBnohQ9GtIZ7DTsTV1Z5DHZERERULX135iYOX7wLO5kN5g0OREjX+pAk061Bpw8MdkRERFQtTeoWgKsp2RjX2R9BdVxNXY5ecFYsERERVQt3M/Mwf/c55KnUAAoXF35veCurCXUA79gRERFRNfDoa8HsZDZYPLSFqUsyCAY7IiIislr5BRq8fzAOX/2eAABo7uuC8V38TVyV4TDYERERkVVKTM3B9G3ROHcrAwAQ0rU+5g4KhL3cvF8LVhUMdkRERGR1fr18D1M2n0FOvho1HeV4f3gr9G/hY+qyDI7BjoiIiKxOQy8n2Mps0LG+K1aPboPaNR1MXZJRMNgRERGRVUjJzIOXiz0AoE5NB3z3ShcEeNSAraz6LAJSfT4pERERWSUhBDb9kYgn3o9ExD9vkQCAxt7O1SrUAQx2REREZMHSc/Px8jdn8M4PF6As0OCn83dMXZJJcSiWiIiILNJfiWmYuS0atzPyYCezwdxBgZjUrb6pyzIpBjsiIiKyKGqNwKeRV7E64jI0AgjwqIHwMW2t6g0SlcVgR0RERBbl5N/38eGRywCA59rWwbvDguCkYKQBGOyIiIjIwnRr5IHJ3QPQ3NcFw9vXNXU5ZoXBjoiIiMyGWiNwKiENKVl58HK2R8cAd6g1AuFHr2B8F394ORcuZ/L2081NXKl5YrAjIiIis3DwfDLC9l1EckaedpunkwKOChmu389FzI10bArtCEmSTFileWOwIyIiIpM7eD4ZUzZHQfxr+71sJZANONrJMKFLfYa6x+A6dkRERGRSao1A2L6LJULdo5wUtugT6GW0miwVgx0RERGZ1KmEtGLDr6VJyVLiVEKakSqyXAx2REREZFIpWeWHOl3bVWcMdkRERGRSFV2DrmhGLJWNwY6IiIhM5nRiGhbuPgdne1uUNS1CAuDrWrj0CZWPs2KJiIjI6NQagc+OXcWqiCtQawR8XeyRnVcACSg2iaIo7C0a0hwyG86IfRzesSMiIiKjupuZh/Hr/sSKw5eh1ggMa1MbR2b3xGfj2sHHtfhwq4+rPT4b1w4Dg3xNVK1lsZpg9+abb0KSJEiShKVLl+p0bNFxj/vatGlTiWNzc3OxfPlytGnTBjVq1ICzszOCg4MRHh4OtVqtr49HRERkFSLjUjDoo99w4tp9OMhlWDGiNVaNagMnhS0GBvni97f6YNuLnfHR6DbY9mJn/P5WH4Y6HVjFUOyJEyewcuVKSJIEIcpbBad0EydOLHNfUlISIiMjIUkSevbsWWxfWloa+vTpg9jYWDg7O6Nbt26QyWQ4efIkZsyYgX379uHHH3+EnZ2dzjURERFZmzsZeXj5mzPIV2vQzNcFn4xti4aeTsXayGwkdGlYy0QVWj6LD3a5ubkICQmBr68vgoODsWfPHp3PsXHjxjL3TZ06FZGRkejbty/8/f2L7XvllVcQGxuLoKAgHDhwAH5+fgCAu3fvYujQoThy5AjCwsKwbNkynWsiIiKyNj6u9nhjQFPcSn+IuYMCYS+Xmbokq2PxQ7Hz5s3DlStX8MUXX8DV1VWv587Ly8O2bdsAAJMnTy627/bt2/juu+8AAOHh4dpQBwDe3t748ssvAQCrVq1CVlaWXusiIiKyFGdSJVxK/t/fgy/2aIDFQ1sw1BmIRQe7Y8eOITw8HBMmTMDgwYP1fv5du3YhPT0d7u7uGDZsWLF9p0+fhhACdnZ26NGjR4ljW7VqBU9PTzx8+BAHDhzQe21ERETmLDe/AHN3n8emKzLM2hmL3PwCU5dULVhssMvOzkZoaCi8vb2xevVqg1xj/fr1AIBx48ZBoVCUuD4A1KxZEzY2pXejh4cHAODMmTMGqY+IiMgcXbydiSHhv2NX1G1IEBgc5AM7mcVGDotisc/YzZkzBwkJCdi9ezfc3Nz0fv7ExERERkYCKDkMCwBeXoUvIk5JSUF2djacnIo//KnRaHD9+nUAQEJCgt7rIyIiMjdCCGw+eR1L9l9CfoEG3s4KjPDLxcwnG8GWwc4oLDLYHT58GGvXrsXo0aNLDJHqy4YNGyCEQIcOHdCqVasS+zt16gRHR0fk5ubiq6++wqxZs4rt37RpE3JzcwEAmZmZ5V5LqVRCqVRqvy9qr1KpoFKpqvhJqoeifmJ/GRb72TjYz4bHPta/3PwCzPnuPI5cSgEA9GrigWVDm+L08V/Yz1WkS/9ZXLDLyMjA5MmT4enpifDwcINcQ6PRaGfKhoaGltrG2dkZs2fPxpIlSzBv3jzY2NhgxIgRkMlk2Lt3L1577TXI5XKoVKoyh2qLLF++HGFhYSW2Hz58GI6OjlX+PNXJkSNHTF1CtcB+Ng72s+Gxj/VHI4DEWzaQSRKG+mvQ0/0OTh+/A4D9XFVFN4oqwuKC3axZs3Dz5k3s2LFD+wybvkVERCApKQkODg4YO3Zsme0WLVqEe/fu4fPPP8fMmTMxc+ZM7b4ePXqgWbNmWLt2Ldzdy3+33bx58/D6669rv8/MzISfnx/69+8PFxeXqn+gakClUuHIkSPo168f5HK5qcuxWuxn42A/Gx77WD/UGoECjYDCtvAGRsceSqRkKhFUp/DvLvazfjxu5O9RFhfsdu/eDVtbW6xZswZr1qwpti8uLg4AsG7dOkRERMDHxwfbt2/X+RpFkyaGDx9e7hIqMpkMn332GaZOnYq9e/ciKSkJTk5O6NWrF5566imMGzcOANCyZctyr6dQKEpMzgAAuVzO3wg6Yp8ZB/vZONjPhsc+rry7mXl4bUcMAjxqYNmzhX/P1XGXo467U4m27Oeq0aXvLC7YAUBBQQF++eWXMvcnJiYiMTGxxILCFZGWlqZd5Li0SROladmyZYnwJoTA8ePHAQD9+vXTuQ4iIiJzFRmfgtk7Y5GWk4+YG+l4tXcj1K7pYOqyCBa43El6ejqEEKV+Fb0abMmSJRBCIDExUefzb9myBUqlEg0bNizxCjFd7Ny5E0lJSejSpQvat29f6fMQERGZi/wCDZbtv4hJG/5CWk4+mvu6YN/07gx1ZsTigl1lffLJJwgMDMSECRPKbVc0DBsaGgpJkspte/v2bdy4caPE9h9//BEvvfQSFAoFPv/888oXTUREZCau38/B85+fwJe/FS7hFdK1Pr6f2rXEu17JtCxyKLYyUlNTER8fDx8fnzLbREdHIyYmBjKZDCEhIY8956lTp/Dcc8+hdevWCAgIgFwux9mzZxEXFwcnJyfs2bOn1KVSiIiILEmBWoNx6/7EjbSHqOkox/vDW6F/i7L/PiXTqTZ37Cqi6G7dgAEDULt27ce2DwoKwoQJE5Cbm4sjR45g3759EELgtddeQ1xcHAYOHGjokomIiAzOVmaDd55ugY713XFgxhMMdWbMqu7Ybdy4Ubv+3L8tXrwYixcvLvf48PBwndbGa9SoUZnXIyIismSXkjNxPzsf3RsXLi3Wr7k3+jbzeuxjSmRavGNHREREWkIIfPNHIp759DimbYtCcsZD7T6GOvNnVXfsiIiIqPIyclV4c1csDl24CwDo3sgDCluZiasiXTDYEREREU4npmHm9hjcSn8IuUzC3EHNENqtPu/SWRgGOyIiompMCIFPI69iVcQVqDUC9Ws5InxMO7SsW/abl8h8MdgRERFVY5Ik4VZ6HtQagWFtamPpsy3hpGA8sFT8yREREVVDBWoNbGWFcygXDWmOJxp7YFCQD4deLRyDHRERkZVSawROJaQhJSsPXs726BjgDrVGYMXheFxKzsTXkzrCxkaCvVyGwS19TV0u6QGDHRERkRU6eD4ZYfsuIjkjT7vN00kBR4UM1+/nAgB+u5qKnk08TVUiGQCDHRERkZU5eD4ZUzZHQfxr+71sJZANONrJsGpUG4Y6K8QFiomIiKyIWiMQtu9iiVD3KCeFLfo28zZaTWQ8DHZERERW5FRCWrHh19KkZClxKiHNSBWRMTHYERERWZGUrPJDna7tyLIw2BEREVkRF3t5hdp5OdsbuBIyBU6eICIishLxd7Kw5McL5baRAPi4Fi59QtaHwY6IiMjCCSHw7embeGfveeSpNKjpIEf6QxUkoNgkiqKlhxcNaQ6ZDRcitkYciiUiIrJgOcoCzN4Zizd3nUWeSoOeTTzx8+ye+HxcO/i4Fh9u9XG1x2fj2mFgEBcjtla8Y0dERGSh4u9kYeqWM7h2LwcyGwmz+zfBKz0awsZGwsAgX/Rr7lPizRO8U2fdGOyIiIgs1K+X7+HavRx4uygQPqZdiefmZDYSujSsZaLqyBQY7IiIiCzU5O4BeKhSY2ynevBwUpi6HDIDfMaOiIjIQsTfycLL35xGjrIAAGBjI2HGk40Z6kiLwY6IiMgC7Dx9A898+jsOXbiLDw7Fm7ocMlMciiUiIjJjufkFeHvPBeyKugkAeKKxB6b1aWTiqshcMdgRERGZqct3szB1SxSupmTDRgJm92+KKT0LZ70SlYbBjoiIyAxFxqdgyuYzyFNp4OWsQPiYtujUgDNcqXwMdkRERGaoha8LnBS2CK7vglWj2nCCBFUIgx0REZGZKFpIGAC8XOyxa0pX+Lk5cuiVKoyzYomIiMzAt6dvoOf7x7D/bLJ2m3+tGgx1pBMGOyIiIhPKzS981+sb353FQ5UaP569beqSyIJxKJaIiMhErvwz6/XKP7NeX+/XBFN7cSkTqjwGOyIiIhP47sxNvL3nPB6q1PB0VuDj0W35XleqMgY7IiIiIzt3MwNzvo0FULjg8Icj28DTmbNeqeoY7IiIiIysZV1XvNSjAZwVtni1dyNOkCC9YbAjIiIygt3RN9G5QS34ujoAAOYPbmbiisgacVYsERGRAeXmF2DOt7F4bUcspm+NRoFaY+qSyIrxjh0REZGB/HvWa48mnpAkDruS4TDYERERGcCuMzexkLNeycgY7IiIiPToYb4a7/xwHt+euQkA6N7IA6tGcdYrGQeDHRERkR5JEnDuVgZsJGBW3yZ4tXcjyDjrlYyEwY6IiEgPhBCQJAn2chk+GdsOKVl56NrQw9RlUTXDWbFERERV8DBfjTe/i8WaY9e02xp5OTHUkUnwjh0REVEFqDUCpxLSkJKVBy9ne3QMcEdCajambonC5bvZsJPZ4Ll2dbTr1BGZAoMdERHRYxw8n4ywfReRnJGn3ebqIMfDfDXy1Rp4Oivw0eg2DHVkcgx2RERE5Th4PhlTNkdB/Gt7xkMVACDQxwnfTO7MWa9kFviMHRERURnUGoGwfRdLhLpHZTwsgHsNO6PVRFQeBjsiIqIynEpIKzb8WprkjDycSkgzUkVE5WOwIyIiKkNKVvmhTtd2RIbGYEdERFQGlVpToXZezvYGroSoYjh5goiIqBTfR93Ewt3ny20jAfBxLVz6hMgcMNgRERE94mG+Gov3XsCO0zcAFM56jbuTDQkoNomi6CVhi4Y05yvDyGxwKJaIiOgfV1OyMezT49hx+gYkCXitbxPsn9EDn49rBx/X4sOtPq72+GxcOwwM8jVRtUQl8Y4dERHRPz48Eo/4u1nwcFLg49Ft0LVR4WvBBgb5ol9znxJvnuCdOjI3DHZERET/WDqsJRS2MswbHFhiQoTMRkKXhrVMVBlRxXAoloiIqq1r93LwUcQV7ffuNeywalQbznIli8U7dkREVC2dvidh3ucnkZuvRr1aDni2bV1Tl0RUZQx2RERUreSp1HhnzwXsvCoDoEaXBrXQ7Z9n6YgsHYMdERFVG1dTsjFtaxTi7mRBgsC03g0xq18gJ0GQ1WCwIyKiauHAuWTM+TYWuflqeDjZYWS9h5jRpxFDHVkVTp4gIqJqwUlhi4eqwqHXvVO7oKmrePxBRBaGd+yIiMhqKQvUUNjKAAA9mnhi8+RO6NygFjTqAhNXRmQYvGNHRERW6YeYW+j5/jEk3c/VbuvWyINDr2TVrCbYvfnmm5AkCZIkYenSpTodW3Tc4742bdpU4ticnBwsX74cHTp0gIuLC+RyOXx8fPD0009j7969+vp4RERUQXkqNeZ9fxYzt8fgTmYe1h9PMHVJREZjFUOxJ06cwMqVKyFJEoTQ/ZmJiRMnlrkvKSkJkZGRkCQJPXv2LLbv/v376NGjBy5evAgnJyd07doVNWvWxNWrV7F//37s378fM2bMwEcffaRzTUREpLtr97Lx6pZ/Zr1KwPQ+jTHzycamLovIaCw+2OXm5iIkJAS+vr4IDg7Gnj17dD7Hxo0by9w3depUREZGom/fvvD39y+2791338XFixfRvn17HD58GO7u7tp9Bw4cwDPPPIOPP/4YY8aMQefOnXWui4iIKu6HmFuY9/057azX1aPaontjrk9H1YvFD8XOmzcPV65cwRdffAFXV1e9njsvLw/btm0DAEyePLnE/qNHjwIA3nrrrWKhDgAGDx6M3r17AwD++OMPvdZFRETF7Yu9jZnbY5Cbr0bnBu44MOMJhjqqliw62B07dgzh4eGYMGECBg8erPfz79q1C+np6XB3d8ewYcNK7Le3r9i7BD08+IcLEZEh9W/hjdZ+NTHjycbY8p/O8HLhu16perLYYJednY3Q0FB4e3tj9erVBrnG+vXrAQDjxo2DQqEosX/QoEEAgP/7v/9DWlpasX0HDhxAZGQkfHx8MHToUIPUR0RUnf1y+R4K1BoAgMJWhu9e6YLX+zXhrFeq1iz2Gbs5c+YgISEBu3fvhpubm97Pn5iYiMjISAClD8MChUOwp06dwqFDh+Dv749u3bppJ0+cOXMG3bp1w7p16/Q+RExEVJ3lqdQI23cR204lYVrvRpgzoCkAQC6z2HsVRHpjkcHu8OHDWLt2LUaPHl3qEKk+bNiwAUIIdOjQAa1atSq1TY0aNbBv3z7Mnz8fK1euxKFDh7T7atWqhb59+6JOnTqPvZZSqYRSqdR+n5mZCQBQqVRQqVRV/CTVQ1E/sb8Mi/1sHOznsiWk5mDG9ljE3c2GJAEQmkr1E/vYONjP+qFL/1lcsMvIyMDkyZPh6emJ8PBwg1xDo9FoZ8qGhoaW2S45ORnPPPMMzp49i6VLl2LMmDHw8vLCxYsXsXDhQoSFhWHPnj347bff4OzsXOZ5li9fjrCwsBLbDx8+DEdHxyp/nurkyJEjpi6hWmA/Gwf7ubgzqRJ2XLOBUiPByVZgfGMNGisv48CBy5U+J/vYONjPVZObm/v4Rv+wuGA3a9Ys3Lx5Ezt27DDYpISIiAgkJSXBwcEBY8eOLbPdxIkT8ddff+H999/HG2+8od0eHByMH3/8Ee3bt0dsbCxWrFhRanArMm/ePLz++uva7zMzM+Hn54f+/fvDxcVFPx/KyqlUKhw5cgT9+vWDXC43dTlWi/1sHOzn4vJUaiz7KR7br9wEAHSs74YPR7SEdxUmSLCPjYP9rB9FI3kVYXHBbvfu3bC1tcWaNWuwZs2aYvvi4uIAAOvWrUNERAR8fHywfft2na9RNGli+PDhZT4fd+vWLe2/QMaMGVNiv1wux/PPP49z584hIiKi3GCnUChKnZwhl8v5G0FH7DPjYD8bB/u5UFK6Ej/EJEOSgGm9G2Hmk41hq6fn6djHxsF+rhpd+s7igh0AFBQU4Jdffilzf2JiIhITE0ssKFwRaWlp2kWOy5o0ARS+kaJIWXfVikLhv2fMEhFRxTX0dML7z7eCq4McPZp4mrocIrNmcVOI0tPTIYQo9avo1WBLliyBEAKJiYk6n3/Lli1QKpVo2LBhiVeIPerRSRF//vlnqW1OnjwJAAgICNC5DiKi6ipPpcbCPefwV+L//lE8pHVthjqiCrC4YFdZn3zyCQIDAzFhwoRy2xUNw4aGhkKSyl4LqV69eggODgYAzJw5s0SI3Lx5M3bs2AEA5T6nR0RE//P3vWw8u+YENp9Mwsxt0chTqU1dEpFFscih2MpITU1FfHw8fHx8ymwTHR2NmJgYyGQyhISEPPac69evR+/evXHp0iU0a9YMnTt3hoeHBy5duoQLFy4AKFzc+IUXXtDXxyAisgpqjcCphDSkZOXBy9keHQPcsf9cMubtOoucfDVq1bDDe8NbwV4uM3WpRBal2gS7iii6WzdgwADUrl37se2DgoJw/vx5rFq1Cj/99BP++usvKJVKuLm5YcCAAQgNDcXIkSMNXTYRkUU5eD4ZYfsuIjkjT7vN0U6G3PzCu3OdAtzx8Zi2VZr1SlRdSUIIYeoiqLjMzEy4uroiIyODy51UkEqlwoEDBzB48GDOvDIg9rNxWHM/HzyfjCmbo1DWXzyDgnwQPqat3ma9lsWa+9icsJ/1Q5dcUG2esSMiItNSawTC9l0sM9QBQMyN9HKfbyai8jHYERGRUZxKSCs2/Fqa5Iw8nErgElFElcVgR0RERpGSVX6o07UdEZXEYEdERAanLFDj8IU7FWrr5cxJE0SVxVmxRERkUJeSM/HajhjE3ckqt50EwMe1cOkTIqoc3rEjIiKD0GgEvvj1Gp755Dji7mShVg07TOnZEBIKQ9yjir5fNKQ5ZDacPEFUWbxjR0REBpGdX4CNxxORr9agbzMvvDe8FTycFGjt51piHTsfV3ssGtIcA4N8TVgxkeVjsCMiIr0pWhpVkiS42MuxcmQbXL+fg1HBftplTAYG+aJfc58Sb57gnTqiqmOwIyIivUjPzceC3efRo4kHRgXXAwB0aVgLXRrWKtFWZiOVup2IqqbCwS40NNQgBbi6umLVqlUGOTcRERnHb1fuYc63sbibqcRvV+7hqVa14aTgvQMiY6vw77qNGzdCkiTo8w1kkiTB29ubwY6IyELlqdR476c4bDyRCABo4FkDq0e1YagjMhGdfufZ29vr9aX2X3/9td7ORURExnX+VgZmbo/GtXs5AIAJXfwxb1AzONjJTFwZUfWlU7BzdXXFhg0b9HZxBjsiIsuUkpmH5z47gfwCDTydFfjg+Vbo1dTL1GURVXu8V05ERDrzcrHHf7oH4O97Ofjvcy3hXsPO1CUREXQIdjNmzEDNmjX1evEZM2bA1dVVr+ckIiL9E0Lg2zM30d7fDQ09nQAAs/s3hY0E7TImRGR6FQ52q1evRufOnZGfn4///ve/ern46tWr9XIeIiIynPvZSsz7/hwOX7yLVnVdsWtKV8hlNlx3jsgM6fRKsVOnTmHjxo0GKoWIiMzN0bi7GLD6Nxy+eBdymYTBLX1hwzt0RGaLz9gREVEJufkFWLb/Erb8mQQAaOLthFWj2qBFbT4+Q2TOGOyIiKiYmw9yMX7dKSSkFi5jMrl7AN4Y0BT2ci5jQmTuGOyIiKgYbxd7uNjbwtfVHitGtEa3Rh6mLomIKojBjoiIcP1+Dnxc7aGwlUEus8GnL7SDs0IOV0e5qUsjIh3oNHmCiIisixACW/68joGrf8OqI1e02+u6OTLUEVkgne/Y3b17F/Xr10e7du3Qrl07tG3bFu3atYOvr68h6iMiIgNJycrDW9+dRWT8PQDAhdsZKFBrYCvjv/mJLFWlhmKTkpJw48YN/PDDD9ptXl5e2pBX9FW/fn191UlERHp06MIdzPv+HNJy8mFna4M3BzRFaLcA2HBtOiKLpnOwc3JywujRoxEVFYXz589DqVQCKLyTd+jQIRw6dEjb1tXVVRv2iv4bGBiov+qJiEgn2coChO29gG/P3AQANPN1wepRbdDUx9nElRGRPugc7GrUqIG1a9cCANRqNS5cuICoqChER0cjKioKsbGxyM7OBgCkp6cjMjISx44dK3Z8ZmamfqonIiKdpGXn48C5ZEgS8FKPBni9XxMobLmMCZG1qNKsWJlMhlatWqFVq1YICQkBUPgg7uXLl7VBLyoqCjExMUhLSwMA5OTkVLloIiKqOI1GaIdY69VyxPvPt0YtJzt0blDLxJURkb7pfbkTSZLQtGlTNG3aFKNHj9Zuv379uvbOHhERGcfVlCy8vjMWbw0M1K5H91QrTnYjslZGW8fO398f/v7+ePbZZ411SSKiakujEdj0RyKW/xQHZYEGS/dfwoEZ3SHxPa9EVo0LFBMRWZk7GXl447tY/HYlFQDQo4knPni+FUMdUTWgU7CbOHEirl+/bqhaiIioivafTcb83eeQ8VAFe7kN5g9uhvGd/RnqiKoJnYLdhg0bDFUHERFVkFojcCohDSlZefBytkfHAHfIbCT8lZiGV7dGAQBa1XXFhyPboJGXk4mrJSJj4lAsEZEFOXg+GWH7LiI5I0+7zdfVHouGNMeAFj54pk1t+Ls7YvqTjSHnGySIqh0GOyIiC3HwfDKmbI6C+Nf2Oxl5mLI5Cp+Na4fVo9pw2JWoGqvwP+f27t2Lw4cP6/XihjgnEZE1UmsEwvZdLBHqAGi3he27CE1pDYio2qjwHbthw4bB19cXt27d0tvFDXFOIiJrdCohrdjw678JAMkZeTiVkIYuDbnwMFF1pdMDGELo/5+ChjgnEZG1SckqO9RVph0RWSednrF7+PAhNm3aZKhaiIioDLY2FXtuzsvZ3sCVEJE50ynYZWZmYtKkSYaqhYiIytApoBZsJJT5DJ0EwMe1cOkTIqq+Khzs6tWrZ5CZVl5eXno/JxGRNXj0URUPZwXmD26GpfsvQQKKTaIo+pN50ZDmkFXwzh4RWacKB7vExEQDlkFERI96WABM3RqDvs19MLpjPQDAf55ogLpuDiXWsfP5Zx27gUG+piqXiMwE17EjIjIzV+5m48NzMqTk3cOfCQ8wqKUvXB3kAICBQb7o19yn1DdPEBEx2BERmZF9sbfx5nexeKiS4Otqj8/HtdeGuiIyG4lLmhBRqRjsiIjMgEqtwXs/xWHd7wkAgCauGmya0hk+NWuYuDIisiQMdkREJlag1mDCulP44+/7AICXnqiPQNVV1KphZ+LKiMjS8A3RREQmZiuzQecGteCksMXn49rhjf5NIOMjc0RUCbxjR0RkAkIIZCkL4GJf+Pzc9D6NMLx9HdR1c4RKpTJxdURkqXjHjojIyPJUasz+Nhaj1p7Ew3w1AMDGRkJdN0cTV0ZElo537IiIjCjpfi5e2XwGF5MzYSMBJxPuo3dTLtRORPrBYEdEZCSR8SmYtT0GGQ9VqFXDDuFj26JrQw9Tl0VEVkTvQ7F9+vTBzz//rO/TEhFZLI1G4KOIKwjd+BcyHqrQ2q8m9k3vzlBHRHqn92B37Ngx3L17V9+nJSKyWO8fiseqiMsQAhjbqR52vtwZtWs6mLosIrJCHIolIjKw8V38sTfmFmb1a4KRHfxMXQ4RWTEGOyIiA7iUnIlmvi4AgDo1HXB0Ti/Yy2UmroqIrJ1Bgl1cXBx+/fXXCrfv0aOHIcogIjI6lVqDZfsvYeOJRHwxvj36t/ABAIY6IjIKgwS7ZcuWYdmyZY9tJ4SAJElQq9WGKIOIyKhSMvPw6tYo/JX4AABwJSUb/VuYuCgiqlYMEuwmTZqE4OBgQ5yaiMgs/ZWYhqlbonAvSwlnhS0+HNUG/Zp7m7osIqpmDBLs+vTpg7Fjxxri1EREZkUIgY0nErFs/yUUaASaejvj8/HtEeBRw9SlEVE1xMkTRERV8FfiA4TtuwgAGNK6Nv5veEs42vGPViIyDat5V+ybb74JSZIgSRKWLl2q07FFxz3ua9OmTcWOq1+/foWOe/fdd/X5UYnIjHQMcMfk7gF4++nm+Hh0G4Y6IjIpq/gT6MSJE1i5ciUkSYIQQufjJ06cWOa+pKQkREZGQpIk9OzZs9i+559/HqmpqaUel5aWhn379gEAevfurXNNRGS+IuNTEFTbFZ7OCgDA2083N3FFRESF9B7sNBqNvk9ZrtzcXISEhMDX1xfBwcHYs2ePzufYuHFjmfumTp2KyMhI9O3bF/7+/sX2rVixoszj3n//fezbtw9NmjTBE088oXNNRGR+1BqBj36+go9/voLODdyxeXIn2MqsZuCDiKyAzsEuIyMD69atw5UrV+Dl5YXnn38eLVu2NERtFTJv3jxcuXIF+/fvx86dO/V67ry8PGzbtg0AMHnyZJ2OXb9+PQAgNDRUrzURkWmk5+Zj5vYY/HL5HgCgqbczdB8fICIyLJ2C3f3799GxY0ckJiZqty1btgwffPABXnvtNQBAamoqvvjiC1y6dAkA0KxZM4waNQoNGzbUX9X/OHbsGMLDwzFhwgQMHjxY78Fu165dSE9Ph7u7O4YNG1bh444fP474+HjY2tqWO8xLRJbhwu0MvLL5DG6kPYS93AbLn2uJZ9vWNXVZREQl6BTsVq5ciYSEBO33MpkMarUab775Jtq2bQtvb2888cQTePDgQbHjwsLCEBYWhrlz5+qnagDZ2dkIDQ2Ft7c3Vq9erbfzPqrortu4ceOgUCh0Pm7w4MHw8fExSG1EZBy7ztzE/N3noCzQoJ67Iz4f1x7Na7uYuiwiolLp9HDITz/9BEmSMGLECKSlpeHhw4fYsGEDbG1t8fHHH2PGjBlIS0uDEALu7u7w8vKCEAIqlQoLFizQawCbM2cOEhIS8Nlnn8HNzU1v5y2SmJiIyMhIALoNw+bk5GjvHOo6fEtE5iVPpcanx65CWaBB76ae2DetO0MdEZk1ne7Y/f333wAK79zVrFkTQOGM0qtXr2LlypXIz89H8+bNsXPnTjRvXjhL7MaNG5g3bx62bt2KBQsWYOTIkahdu3aVij58+DDWrl2L0aNH6zREqosNGzZACIEOHTqgVatWFT5u586dyM7Oho+PDwYPHlyhY5RKJZRKpfb7zMxMAIBKpYJKpdKt8GqqqJ/YX4Zljf2s1gicvv4AKVlKeDkr0MHfDTIbCQAgA/DJ6NY4fDEFU3oEwMbGOJ/dGvvZ3LCPjYP9rB+69J9OwS47OxuOjo6oW7f4syUvvfQSli1bBkmS8MEHH2hDHQD4+flh8+bNyMnJwd69e7Fx40bMnz9fl8sWk5GRgcmTJ8PT0xPh4eGVPk95NBqNdqasrpMf1q1bBwCYMGECbG0r1r3Lly9HWFhYie2HDx+Go6OjTtev7o4cOWLqEqoFa+nn2PsSvk+0QXq+pN3mZCvQupYGIxv8b2pEAICDB+OMXp+19LM5Yx8bB/u5anJzcyvcVqdgJ4SAs7Nzie1+fn5QKBTIz89Hx44dSz12/vz5+OGHHxAREVGlYDdr1izcvHkTO3bsgIeHR6XPU56IiAgkJSXBwcFBp1ejXb58GcePHwegWyCcN28eXn/9de33mZmZ8PPzQ//+/eHiwmGfilCpVDhy5Aj69esHuVxu6nKsljX186ELd7Hhj9gSM1uzCyQcvytD51aN8EqPBiapzZr62Vyxj42D/awfRSN5FaG3dexq1qyJlJQU1KpVq9T9HTp0gJ2dnXa2bGXt3r0btra2WLNmDdasWVNsX1xc4b+o161bh4iICPj4+GD79u06X6No8sPw4cPh6uqq83Hdu3dH06ZNK3ycQqEodXKGXC7nbwQdsc+Mw9L7Wa0RWPZTfLnLlWz58yam9m6iHZY1BUvvZ0vAPjYO9nPV6NJ3RnvzhCRJcHV1LTFjtjIKCgrwyy+/lLk/MTERiYmJJRYUroi0tDTtIse6TH5Qq9XaV45x0gSReTuVkIbkjLxy29zJzMOphDR0aVj6P1aJiMyRzkum5+fn48qVK5W7mI1NlR+gTE9PhxCi1K+iNeOWLFkCIUSx9fYqasuWLVAqlWjYsGGJV4iV58CBA0hOToazszNGjBih83WJyHhSssoPdbq2IyIyFzoHuwcPHiAwMBDu7u7o168f5s+fj927d5v9jJdPPvkEgYGBmDBhQrntHn1jhCRVfAim6LjRo0ejRo0alS+UiAzOy9ler+2IiMyFTkOxfn5+uHHjBoDCO2c///wzjh49WqxN//790bp1a+1Xs2bNKjw71JBSU1MRHx9f7oLB0dHRiImJgUwmQ0hISIXPnZKSgv379wPgMCyRuVMWqNExwB2+rva4k5FX6nN2EgAfV3t0DHA3dnlERFWiU+K6fv067t+/j6ioKJw5c0b730ffRhEREYGff/5Z+71cLkdgYCBat26N7Oxs/VVuAEV33QYMGKDTWnvffPMNVCoVWrRogU6dOhmqPCKqArVG4JOjV/FD7C3sndYdi4Y0x5TNUZCAYuGu6D79oiHNTTpxgoioMiQhRJXfY52eno6oqCjt15kzZ3D16lU8empJkiCEgCRJUKvVVb2kVcvMzISrqysyMjK43EkFqVQqHDhwAIMHD+bMKwOy1H5OzniIWdtj8GdCGgDgv8+2xNhO9XDwfDLC9l0sNpHC19Uei4Y0x8AgX1OVa7H9bEnYx8bBftYPXXKBXsZIa9asiT59+qBPnz7abVlZWYiOji52dy8+Ph56yJFERBV25OJdvPFdLNJzVahhJ8OSYUF4rl3hIusDg3zRr7kPTiWkISUrD17OhcOvvFNHRJbKYA+/OTs7o0ePHujRo4d2W25uLmJiYgx1SSIirTyVGssPXMLXf1wHAATVcUH4mHYI8Cg+uUlmI3FJEyKyGkad1eDo6IiuXbsa85JEVE2991OcNtT9p3sA3hjYFApbmYmrIiIyLNNPVyUiMoBXezfCyb/v462Bgegd6GXqcoiIjELndeyIiMxRZp4KW/9M0n7v6azAgRlPMNQRUbXCO3ZEZPGikh5gxrZo3HzwEDUUMjzTpg4AwIaTIIiommGwIyKLpdEIfPbLNXx45DLUGgE/dwfUc3c0dVlERCbDYEdEFuluZh5e3xmD41fvAwCGtK6NZc8GwcWea2URUfXFYEdEFufXy/cwa0cM0nLy4SCXIeyZFhjRvq5O73cmIrJGDHZEZHHUQiAtJx/NfF0QPqYtGnk5mbokIiKzwGBHRBZBWaDWrkPXu6kX1o5vj55NPGEv59p0RERFuNwJEZk1IQS+O3MTvT44hpsPcrXbB7TwYagjIvoXBjsiMltZeSq8tiMGc76NRXJGHjYcTzR1SUREZo1DsURklmJvpGPG9mhcv58LmY2E1/o2xpRejUxdFhGRWWOwIyKzotEIfPnb3/jgUDwKNAJ1ajrg4zFt0N7f3dSlERGZPQY7IjIrW04lYflPcQCAQUE+eO+5VnB15Np0REQVwWBHRGZlRPu62B11EyM6+GF0sB/XpiMi0gGDHRGZVH6BBjv+SsLYTv6Q2Uiwl8vw3Std+Z5XIqJKYLAjIpO5fj8HM7ZFI/ZmBtJyVJjZtzEAMNQREVUSgx0RmcSe6FtYuOc8spUFcHWQo6mPs6lLIiKyeAx2RGRUOcoCvPPDBeyKugkA6FjfHatHt0Htmg4mroyIyPIx2BGR0VxKzsTULVFISM2BjQTMeLIxpvVuBFsZ10onItIHBjsiMhobScLt9IfwdbXH6lFt0KlBLVOXRERkVRjsiMig8gs0sLMtvCPX1McZX0zogNZ1XVHT0c7ElRERWR+OfxCRwZy4moreK47hzPUH2m09m3gy1BERGQiDHRHpnUqtwfsH4/DCuj9xK/0hwo9eMXVJRETVAodiiajS1BqBUwlpSMnKg5ezPToGuON2+kPM2B6N6KR0AMCYjn54++nmpi2UiKiaYLAjoko5eD4ZYfsuIjkjT7utpqMceSo18lQaONvb4r3nWuGpVr4mrJKIqHphsCMinR26cBfTt8dC/Gt7eq4KABDg4YhNoZ3g5+5o/OKIiKoxBjsi0olGAMsPxJUIdY/KU2m44DARkQlw8gQR6eRapoQ7mcpy2yRn5OFUQpqRKiIioiIMdkSkk0xVxdqlZOU9vhEREekVgx0R6SQzv2LtvJztDVsIERGVwGfsiKhCCtQarP75KvZcL//fgxIAH9fCpU+IiMi4eMeOiB7rTkYexnx5Ep8e+xuAhM4BbpBQGOIeVfT9oiHNIbP5914iIjI0BjsieixbmYTE+7mooZBhQmM1vgkNxmfj2sHHtfhwq4+rPT4b1w4Dg7h2HRGRKXAolohKlV+ggZ1t4b/9PJwU+Hxce7ja2+DCyWMAgIFBvujX3KfEmyd4p46IyHQY7IiohPg7WZi+LQpTezXCsLZ1AADt/d2gUqlw4ZF2MhsJXRrWMk2RRERUAodiiUhLCIHNJ69j6Ce/4/LdbHz08xUUqDWmLouIiCqId+yICACQkavC3O/P4qfzdwAAPZt4YuXI1rCV8d9/RESWgsGOiPBXYhpmbovG7Yw8yGUS3hoYiNBuAbDh83JERBaFwY6omruRlosxX5xEgUagfi1HfDymLVrVrWnqsoiIqBIY7IiqOT93R0zqVh+p2flYMiwITgr+sUBEZKn4JzhRNXTk4l0E+jjDz90RADB3UDMuU0JEZAX4VDRRNZKnUmPRD+fx4qbTmLE9Gqp/Zrwy1BERWQfesSOqJq6mZGHa1mjE3ckCALSv5wYhTFwUERHpFYMdkZUTQmDn6RtYvPciHqrUqFXDDitGtkbvpl6mLo2IiPSMwY7IimUrC/DWrrPYfzYZANC9kQc+HNUaXs72jzmSiIgsEYMdkRWTyyQk3MuBrY2EOQOa4qUnGnBtOiIiK8ZgR2RlNBoBgcIJEQpbGT4Z2xYZD1VoW8/N1KUREZGBcVYskRW5m5mH8ev/xMc/X9Fua+DpxFBHRFRNMNgRWYmjcXcx6KPfcPzqfaz7PQEPcvJNXRIRERkZh2KJLJyyQI3/+yke648nAACa+7ogfGxbuNWwM3FlRERkbAx2RBbs73vZmL4tGhduZwIAJnWrj7mDAqGwlZm4MiIiMgUGOyIL9TBfjRGf/4H7Oflwc5RjxYjWeLKZt6nLIiIiE2KwI7JQDnYyzO7fFPtib2P16DbwduHadERE1R2DHZEFib2RDo0Q2lmuYzr6YXSwH9emIyIiAJwVS2QRNBqBL369huGfncC0rdHIeKgCAEiSxFBHRERavGNHZObuZSkx+9tY/Hr5HgCgtZ+riSsiIiJzxWBHZMZ+uXwPs3fGIDU7H/ZyGywa0gKjg/0gSbxLR0REJVnNUOybb74JSZIgSRKWLl2q07FFxz3ua9OmTWWe44cffsDQoUPh4+MDOzs7eHl5oWvXrnj33Xer+tGoGipQa/DfA5cwcf0ppGbno6m3M/ZN644xHesx1BERUZms4o7diRMnsHLlSkiSBCGEzsdPnDixzH1JSUmIjIyEJEno2bNnif35+fkYN24cvv32Wzg4OKBLly7w9vbGnTt3cOHCBXz88cd45513dK6JqjeZjYTE1BwAwPjO/ljwVDPYy7k2HRERlc/ig11ubi5CQkLg6+uL4OBg7NmzR+dzbNy4scx9U6dORWRkJPr27Qt/f/8S+1988UV8++23GDZsGL788kt4eHho92k0Gpw6dUrnesj6qTUCpxLSkJKVBy9ne3QMcIfMRoJKrYFcZgNJkvD+860wMvEB+jbn2nRERFQxFh/s5s2bhytXrmD//v3YuXOnXs+dl5eHbdu2AQAmT55cYv/PP/+MTZs2ISgoCDt37oRcLi+238bGBp07d9ZrTWT5Dp5PRti+i0jOyNNu83ZRIKCWE7xcFPhodBtIkoSajnYMdUREpBOLfsbu2LFjCA8Px4QJEzB48GC9n3/Xrl1IT0+Hu7s7hg0bVmJ/eHg4AGDWrFklQh1RaQ6eT8aUzVHFQh0A3M1U4mTCfeyLvY1LyVkmqo6IiCydxd6xy87ORmhoKLy9vbF69WqDXGP9+vUAgHHjxkGhUBTbp1ar8fPPPwMAevTogTt37mD79u2Ij4+HQqFA27ZtMXz4cDg5ORmkNrI8ao1A2L6LKO8pUPcadmjq42y0moiIyLpYbLCbM2cOEhISsHv3bri5uen9/ImJiYiMjARQ+jDs33//jezsbADAyZMnMXXqVO33Rd544w1s374dffr00Xt9ZHlOJaSVuFP3b/dz8nEqIQ1dGtYyUlVERGRNLDLYHT58GGvXrsXo0aNLHSLVhw0bNkAIgQ4dOqBVq1Yl9t+/f1/7/5MnT0bXrl2xYsUKBAYG4tq1a5g/fz4OHDiAZ555BlFRUWjcuHGZ11IqlVAqldrvMzMzAQAqlQoqlUqPn8p6FfWTOfdXcnpOhdupVC4GrqZyLKGfrQH72fDYx8bBftYPXfrP4oJdRkYGJk+eDE9PT+0zbvqm0Wi0M2VDQ0NLbfPosip16tTBoUOHtMO1rVu3xt69e9GmTRucP38e7733HtatW1fm9ZYvX46wsLAS2w8fPgxHR8cqfJLq58iRI6YuoUx/Z0gAHr9kyd8XYnDgZrThC6oCc+5na8J+Njz2sXGwn6smNze3wm0tLtjNmjULN2/exI4dO4otLaJPERERSEpKgoODA8aOHVtqG2fn/z0HFRISUuIZPJlMhpdffhnTp09HREREudebN28eXn/9de33mZmZ8PPzQ//+/eHiYp53bsyNSqXCkSNH0K9fP7OcyJKarYRLchZ8bl7A3Uxlqc/ZSQB8XBWYNqoHZGb6/ldz72drwX42PPaxcbCf9aNoJK8iLC7Y7d69G7a2tlizZg3WrFlTbF9cXBwAYN26dYiIiICPjw+2b9+u8zWKJk0MHz4crq6lv5ezfv362gWRGzRoUGqbou3JycnlXk+hUJQIhgAgl8v5G0FH5thnJ66mYuaOGOQqC/DmwEAs3nsBElAs3BXFuEVDWsBeYWeCKnVjjv1sjdjPhsc+Ng72c9Xo0ncWF+wAoKCgAL/88kuZ+xMTE5GYmFjqgsKPk5aWpl3kuLRJE0WcnJzQtGlTxMXFITU1tdQ2Rds5M7Z6UmsEPv75Cj4+egVCAE28ndCtkQc+G9euxDp2Pq72WDSkOQYG+ZqwYiIisnQWt45deno6hBClfhW9GmzJkiUQQiAxMVHn82/ZsgVKpRINGzYs9RVijxoxYgQAlDnUWvRMQceOHXWugyzb3cw8vPDVSXz0c2GoG9XBDz+82h2NvJwwMMgXv7/VB9te7IyPRrfBthc74/e3+jDUERFRlVlcsKusTz75BIGBgZgwYUK57YqGYUNDQx/7svUZM2bAzc0NBw4cwNq1a4vt2759O7Zs2aJtR9XHr5fvYfBHv+Hk32lwtJNh9ag2+L/nW8HB7n8TJ2Q2Ero0rIVn2tRBl4a1zPaZOiIisiwWORRbGampqYiPj4ePj0+ZbaKjoxETEwOZTIaQkJDHntPDwwM7duzA0KFD8corryA8PBzNmjXDtWvXEB1dOKvx7bffNshbMch8Hb+aivs5+Wjm64JPx7ZFA08OxRMRkXFUm2BXEUV36wYMGIDatWtX6Jh+/fohNjYW//3vfxEREYEffvgBLi4uGDx4MGbOnIn+/fsbsmQyQ3MGNIVbDTuEdK0Pe/njlzchIiLSF6sKdhs3btSuP/dvixcvxuLFi8s9Pjw8vFJr4zVp0qTM65L1Oxp3F1tOJuHz8e0hl9lALrPBKz0bmrosIiKqhqrNM3ZE+pZfoMGy/RcRuvE0fo5LwaY/rpu6JCIiquas6o4dkbHcSMvF9G3RiLmRDgAI6Vof4zrXM21RRERU7THYEeno4Pk7ePO7WGTmFcDF3hYfjGiNAS3KnpRDRERkLAx2RDr46re/sXT/JQBAG7+aCB/TFn7ufJ8vERGZBz5jR6SDPoFecFLY4qUeDfDtK10Y6oiIyKzwjh3RY1xNyUIjL2cAQANPJ0TO6QVP55Lv9iUiIjI13rEjKkOeSo35u8+h/6pfceLa/94HzFBHRETmisGOqBTX7mVj2KfHsfXPJAgA529lmLokIiKix+JQLNG/7I6+iQW7zyM3X41aNeywenQbPNHY09RlERERPRaDHdE/HuarsWjveew8fRMA0KVBLXw0ug28XOxNXBkREVHFMNgR/ePwxTvYefomJAmY+WRjTO/TGDIbydRlERERVRiDHdE/hraujeikdPRv4Y2uDT1MXQ4REZHOOHmCqq1sZQGW/HgRGbkqAIAkSVg8tAVDHRERWSzesaNq6eLtTEzbGoW/U3NwO/0hPhvX3tQlERERVRmDHVUrQghs+TMJ7/54EfkFGvi42CO0e4CpyyIiItILBjuqNjLzVJj3/TnsP5sMoPD1YCtGtIZ7DTsTV0ZERKQfDHZULVxNyULoxtNISsuFrY2EtwYGYnL3ANhw1isREVkRBjuqFjycFFBrBOrUdED42LZoV8/N1CURERHpHYMdWa0cZQEc7WSQJAk1He2wPiQYPi72cHWUm7o0IiIig+ByJ2SVopMeYMDqX/HtP2+RAICmPs4MdUREZNUY7MiqCCHw5a9/Y8Tnf+Dmg4dY93sC1Bph6rKIiIiMgkOxZDVyVMDLW6IRGZ8KAHiqpS+WD2/J14IREVG1wWBHFketETiVkIaUrDx4OdujY4A7zlx/gPfPypCenwo7Wxu883RzvNCpHiSJoY6IiKoPBjuyKAfPJyNs30UkZ+Rpt3k5K3A/Rwm1RkJALUd8+kJ7NK/tYsIqiYiITIPBjizGwfPJmLI5Cv9+Yu5elhICQANnDXZN6Qw3JwdTlEdERGRynDxBFkGtEQjbd7FEqAMAAUACkKaU4CCXGbkyIiIi88FgRxbhVEJaseHXfxMA0vMlnL7+wHhFERERmRkGO7IIKVllh7ri7ZQGroSIiMh8MdiRRUjPza9QOy9nhYErISIiMl+cPEFmTQiBdb8nYPmBS+W2kwC42gl08Oc7YImIqPriHTsyayq1wL6zyVALoL1/TUgoDHGPKvr+ufoaLkZMRETVGu/YkVmzs7XBp2Pb4lj8PbzQqR4OXbhTYh07H1d7LBjUFOrrZ0xYKRERkekx2JFZEUJgy59JSMlS4vV+TQAAdd0cMa6zPwBgYJAv+jX3KfHmCY26AAeum7JyIiIi02OwI7ORoyzA/N3n8EPMbQBAr6aeaFev5DNzMhsJXRrWKrZNozZKiURERGaNwY7MQvydLEzdcgbX7uVAZiPhrYFN0davpqnLIiIisigMdmRyu87cxII955Cn0sDHxR6fjG2LDvXdTV0WERGRxWGwI5MK23cBG44nAgCeaOyB1aPaoJYT16IjIiKqDAY7MqlWdV0hScCsJ5tgWp9GXK6EiIioChjsyOjSc/NR09EOAPBs27poWccVjbycTVwVERGR5eMCxWQ0+QUaLN57AQNW/4rU7P+905WhjoiISD8Y7Mgobj7IxYi1f2DjiUTczVTiaFyKqUsiIiKyOhyKJYP7+dJdvL4zFhkPVXB1kGPliNbo29zb1GURERFZHQY7MpgCtQYrDl/G579cAwC0ruuKT8a2g5+7o4krIyIisk4MdmQwn0Ze04a6kK71MW9wIBS2MhNXRUREZL0Y7MhgQrvXR8Slu3i5ZwM83aq2qcshIiKyegx2pDcajcCB88l4qqUvJEmCs70cP7zaDTZcm46IiMgoGOxIL+5nKzFrRwx+u5KKe0OUmNQtAAAY6oiIiIyIwY6q7HRiGqZtjcadzDzYy23g6iA3dUlERETVEoMdVZoQAl/9loD3DsZBrRFo4FkDn73QHk19uOAwERGRKTDYUaVk5Kow57tYHLl4FwAwpHVtLH+uJZwU/CVFRERkKvxbmCrl6r1sHI1LgZ3MBm8PaY5xnepBkvg8HRERkSkx2FGltPd3w3+fDUJzX1e0rOtq6nKIiIgIfFcsVVC2sgBvfBuLy3eztNtGBddjqCMiIjIjvGNHjxV/JwtTtpzB3/dycO5WBg7MeILLmBAREZkhBjsq13dnbmLhnnPIU2ng42KPpcOCGOqIiIjMFIMdlSpPpcaiHy5gx+kbAIAeTTyxamRr1HJSmLgyIiIiKguDHZVwL0uJ8ev+RNydLNhIwGt9m+DV3o14p46IiMjMMdhRCW6Ocrg6yOHhZIePR7dF10Yepi6JiIiIKoDBjgAA+QUaAICdrQ1sZTYIH9sWQgDeLvYmroyIiIgqymqWO3nzzTchSRIkScLSpUt1OrbouMd9bdq0qdhxGzdufOwxBw8e1OfHrDK1RuCPa/fxQ8wt/HHtPtQagRtpuRjx+Qks239R287L2Z6hjoiIyMJYxR27EydOYOXKlZAkCUIInY+fOHFimfuSkpIQGRkJSZLQs2fPUts0bNgQ3bt3L3VfnTp1dK7HUA6eT0bYvotIzsjTbnNzlENZoEFuvhrX03IxrU9jeDpzggQREZElsvhgl5ubi5CQEPj6+iI4OBh79uzR+RwbN24sc9/UqVMRGRmJvn37wt/fv9Q23bt3L/cc5uDg+WRM2RyFf8feB7kqAIB/LUds+U8nhjoiIiILZvFDsfPmzcOVK1fwxRdfwNVVv29ByMvLw7Zt2wAAkydP1uu5jUmtEQjbd7FEqHtUfoEGvq4ORquJiIiI9M+ig92xY8cQHh6OCRMmYPDgwXo//65du5Ceng53d3cMGzZM7+c3llMJacWGX0uTnJGHUwlpRqqIiIiIDMFih2Kzs7MRGhoKb29vrF692iDXWL9+PQBg3LhxUCjKHqK8evUqFi5ciJSUFDg5OSEoKAhDhw6Fh4d5LBOSklV+qNO1HREREZkniw12c+bMQUJCAnbv3g03Nze9nz8xMRGRkZEAHj8Me/z4cRw/frzYNnt7eyxevBhvvfWW3mvTlZdzxWa3VrQdERERmSeLDHaHDx/G2rVrMXr0aIMNkW7YsAFCCHTo0AGtWrUqtY2Pjw8WLFiAoUOHokGDBlAoFIiPj0d4eDi++eYbzJ07F2q1GvPnzy/3WkqlEkqlUvt9ZmYmAEClUkGlUlX5s7St6wwfFwXuZipLfc5OAuDjqkDbus56uZ4pFNVtqfVbCvazcbCfDY99bBzsZ/3Qpf8kUZn1QUwoIyMDQUFBUCqVuHjxYrHhzpCQEHz99ddYsmQJFi5cWOlraDQaBAQEICkpCWvWrMGUKVN0PseHH36I2bNnQ6FQ4Pr16/D29i6z7eLFixEWFlZi+9atW+Ho6KjztUsTe1/C+stFj1Q++mqwwh9/aBMNWteyqF8KRERE1UJubi7Gjh2LjIwMuLi4lNvW4u7YzZo1Czdv3sSOHTsM9gxbREQEkpKS4ODggLFjx1bqHDNnzsTy5cuRmpqKw4cPY/z48WW2nTdvHl5//XXt95mZmfDz80P//v0f+wOsqMEA2l24i6UH4nAn8393B31d7bFgUCAGtCg7eFoClUqFI0eOoF+/fpDL5aYux2qxn42D/Wx47GPjYD/rR9FIXkVYXLDbvXs3bG1tsWbNGqxZs6bYvri4OADAunXrEBERAR8fH2zfvl3naxRNmhg+fHill1CRyWRo3LgxUlNTcfPmzXLbKhSKUidnyOVyvf5GeLpNXQxqVQenEtKQkpUHL2d7dAxwh8xGevzBFkLffUalYz8bB/vZ8NjHxsF+rhpd+s7igh0AFBQU4Jdffilzf2JiIhITE8tcULg8aWlp2kWOq7p23f379wEAzs7OVTqPPslsJHRpWMvUZRAREZEBWNw6dunp6RBClPpV9GqwJUuWQAiBxMREnc+/ZcsWKJVKNGzYsMxXiFVEVFQULl++DADo2LFjpc9DREREVFEWF+wq65NPPkFgYCAmTJhQbruiYdjQ0FBIUtlDlLm5ufj000+RlZVVYt+vv/6K4cOHAyh83RiDHRERERmDRQ7FVkZqairi4+Ph4+NTZpvo6GjExMRAJpMhJCSk3PPl5+dj2rRpmD17Ntq2bYt69eqhoKAAly9fxvnz5wEALVu2xM6dO/X5MYiIiIjKVG2CXUUU3a0bMGAAateuXW5bR0dHvP322zh9+jTi4uJw4cIFPHz4EG5ubujbty9GjBiBkJAQ2NnZGaN0IiIiIusKdhs3bsTGjRtL3bd48WIsXry43OPDw8MRHh5eoWvZ2dnh3Xff1bFCIiIiIsOpNs/YEREREVk7BjsiIiIiK8FgR0RERGQlGOyIiIiIrASDHREREZGVsKpZsdZCCAFAt5f+VncqlQq5ubnIzMzk+wgNiP1sHOxnw2MfGwf7WT+K8kBRPigPg50ZKnqbhZ+fn4krISIiInORlZUFV1fXcttIoiLxj4xKo9Hg9u3bcHZ2Lve1ZvQ/mZmZ8PPzw40bN+Di4mLqcqwW+9k42M+Gxz42DvazfgghkJWVhdq1a8PGpvyn6HjHzgzZ2Nigbt26pi7DIrm4uPAPDyNgPxsH+9nw2MfGwX6uusfdqSvCyRNEREREVoLBjoiIiMhKMNiRVVAoFFi0aBEUCoWpS7Fq7GfjYD8bHvvYONjPxsfJE0RERERWgnfsiIiIiKwEgx0RERGRlWCwI4OIj49HeHg4QkJC0LJlS9ja2kKSJCxduvSxx0ZERGDw4MHw8PCAg4MDAgMDsWDBAmRnZ1eqloKCAqxZswadO3eGi4sLHB0d0bJlSyxZsgQPHz6s8Hlu3boFNzc3SJIEW1vzWCnImvo5NjYWoaGhCAgIgL29Pdzc3NCyZUtMmTIF9+/fr1RN+mANfSyEwJYtW9C3b194eHhALpejZs2a6NatGz7++GPk5+dXqh59qkw/37hxA2vXrsVLL72E9u3bQ6FQQJIk/Oc//6lyPWfOnMGIESPg7e0Ne3t7BAQEYPr06UhJSSn3uLt372LatGkICAiAQqGAt7c3RowYgaioqCrXpA+W3s9JSUlYu3YtnnvuOfj7+0OhUMDJyQmtW7fG/Pnzce/evSrXZPEEkQHMnDlTACjxtWTJknKP+/DDDwUAIUmS6NGjhxgxYoTw8fERAETTpk3FvXv3dKojLy9P9O3bVwAQCoVC9OzZUwwZMkR4eXkJAKJ169biwYMHFTrXoEGDhCRJAoCQyWQ61WEo1tLPH3zwgZDJZMLGxkYEBweL0aNHi0GDBolGjRoJAOLcuXM61aNP1tDHo0aNEgCEjY2N6N69uxg1apTo1auXkMvlAoDo3LmzyM3N1akefatMP69atarUYyZPnlylWr799ltha2srAIjg4GAxcuRI0aBBAwFAeHt7iytXrpR6XHx8vPbn0aBBAzFy5EgRHBwsAAhbW1vx/fffV6kufbD0fu7WrZu2P4ODg8WoUaNEv379hIuLiwAgPD09RXR0dJXqsnQMdmQQX375pZgzZ47YsmWLuHTpkhg/fvxj//CIiooSkiQJmUwmDhw4oN2ek5MjnnzySQFADB8+XKc63njjDQFA1KlTp1g4yMzMFE899ZQAIMaOHVuhzwNATJs2zayCnTX08/r167Vhp7QAd/78eZGenq5TPfpk6X38/fffCwDC1dVVxMTEFNt37do1UadOHQFALF++XKd69K0y/bxnzx4xffp0sWHDBhEbGysWLFhQ5cBx69Yt4ejoKACItWvXarcXFBSIcePGaUOIRqMpdpxGoxFt27YVAMT48eNFQUGBdt/atWsFAOHk5CSSk5MrXZs+WHo/jxw5UqxatUqkpqYW256SkiJ69eolAIjGjRsX6//qhsGOjGLixImP/cNjxIgRAoD4z3/+U2JfYmKisLGxEQDEpUuXKnTN/Px84eTkJACIDRs2lNifnJwsHBwchCRJZf4LvOjazs7OonPnzuLatWtmFez+zdL6OS0tTbi4uAgHBwdx7dq1Cl3P1Cytj4v+MTJ16tRSz71s2TIBQAwdOrRCtRhLRfr53xYtWlTlwFEUoPv27VtiX1ZWlnB1dRUAxMGDB4vt279/vwAgatasKbKyskocWxTo586dW+naDMHS+rk8N27c0N5N/O233ypdm6XjM3ZkFvLz87F//34AwNixY0vs9/f3R7du3QAAu3fvrtA5L126pH2WqW/fviX2+/j4ICgoCEII7Nq1q9RzCCEQGhqK/Px8rF+//rHv6DN35tbPX3/9NTIzMzF8+HA0aNBAp89irsytj+3t7St0DQ8Pjwq1s3ZFP5PSfnZOTk4YOnQoAOD7778v9bihQ4fCycmpxLFF5/v3cdVVZfu5PHXr1tX+Or5x44YeqrRMlv23FFmNy5cvIzc3FwDQoUOHUtsUbY+Ojq7QOR99QL1WrVqltin6Q+DMmTOl7l+zZg2OHj2KRYsWoVmzZhW6rjkzt34+dOgQAKBHjx54+PAhvvnmG8yYMQOvvvoqVq9ebZF/OJtbHw8aNAgAsHXrVsTGxhbb9/fff+Ozzz6DJEl48cUXK1SLNcvKysLVq1cB6P6zK/r+ccdduXIFOTk5eqnXUlWln8uTmpqKBw8eAAB8fX2rWKXlYrAjs5CQkAAAqFmzJpydnUtt4+fnV6zt43h5eWn//++//y61TdH20s557do1vPXWW2jfvj3eeOONCl3T3JlbP589exZA4R/0QUFBmDBhAsLDw7FmzRq89tpraNSoET788MMK1WEuzK2P+/TpgwULFiA9PR3t2rVDjx49MGbMGPTp0weBgYGws7PDDz/8gM6dO1eoFmuWmJio/f969eqV2qasn13R9487TghR7DrVUVX6uTwrVqyAWq2Gr68vunbtWqUaLRmDHZmFrKwsAECNGjXKbFM0vJGZmVmhczZq1Ej7h8aXX35ZYv+xY8cQHx9f6jk1Gg1CQkKQn5+PDRs2mM3yJlVlbv1ctIzJ3LlzoVarsW/fPjx48EAbqlUqFWbPno1t27ZVqBZzYG59DABLly7F5s2b4ejoiN9++w3bt29HZGQkhBDo27cvWrRoUaE6rF3Rzw4o++dX1s/ucT/3R4dnK/pzt1ZV6eeyREREYMWKFQCAlStXws7OropVWi4GO7JqixYtAgCEh4fjnXfewfXr1/HgwQN89913GDVqFORyOQCUeHZu9erV+P3337Fw4UK0bNnS6HVbmsr2s/jnjYYajQYHDhzA008/jZo1a6JBgwZ477338MorrwAAFi5caMRPY54q28cqlQqhoaEYN24chg0bhnPnziEnJweXL1/GtGnT8OWXXyI4OBgxMTHG/khEenHu3DmMGDECarUa06dPx5gxY0xdkkkx2JFZKBqyKu/Zk6LnjFxcXCp83tDQUISFhUGSJCxZsgT169eHu7s7RowYAS8vL+0Qq7u7u/aY+Ph4LFiwAK1bt8a8efMq83HMljn186P1PPHEE2jevHmJ806dOhVA4TCjLkMypmRuffz+++9jw4YNGDx4ML755hsEBQXB0dERjRs3xqpVq/DSSy8hLS0NM2fO1PWjWp1Hh87L+vmV9bN73M/90eckdfm5W6Oq9PO/xcXFoW/fvkhPT8ekSZPw0Ucf6a9QC8VgR2ahfv36AID09PRit+kfVfQgfVHbinrnnXdw+fJlfPDBB3jllVcwY8YMbN26FWfOnNHeMXr0rtxPP/2EvLw85OTkoF+/fujVq5f2a/To0QAAtVqt3Xbw4EEdP63pmFM/A9DOhC1rRuyj25OTk3Wqx1TMrY83btwIAGXexSialfj7779DqVTqVI+18ff31/5/UlJSqW3K+tkVff+44yRJKnad6qgq/fyoy5cvo0+fPkhJScGECRPw1VdfQZIkvdZqiazjwSGyeE2bNoWjoyNyc3Nx+vRp9O7du0Sb06dPAwDatWun8/kbNGiAOXPmlNj+22+/AQD69etXYt/Vq1e1M7dK88svvwAAQkJCdK7HVMytn9u3b4+//voLqamppZ7v0e2lLSFhjsytj4v+4izrzoerqyuAwuHw9PR0eHt761yTtXBxcUGjRo1w9epVnD59utTHMMr62bVr1w5RUVHa/WUd17hxY4v5tWwoVennIleuXEHv3r2RnJyMcePGYcOGDRa/HJW+sBfILNjZ2eGpp54CULgsw79dv34dJ06cAAA8++yzernmyZMn8fvvv8PPzw/PPPOMdvusWbMgChfvLvFVNBwok8m02ywp2JlTPwPAiBEjtG1KG5I5cuQIgMJQZynLzZhbH9epUwcA8Oeff5Z5LFA4PMa17P73MyntZ5ednY19+/YBAJ577rlSj9u7d2+pv5aLzvfv46qryvYzULhiQe/evXH79m2MGzcOX3/9NUPdI9gTZDbmzp0LSZKwYcOGYsObubm5mDx5MtRqNYYPH47AwMBix506dQqBgYEltgPAgwcPtLMFH3Xy5EkMHz4ckiThiy++sJpZrxVhTv3cp08fPPHEE0hJScG0adOKDQWePXtWO2liypQp2skBlsCc+vj5558HAKxatQrHjh0rti8mJgZvv/02AGDkyJGQyWSV+ryWZvfu3QgMDMSTTz5ZYt+sWbPg6OiIiIiIYjOQ1Wo1pk6divT0dAQHB6N///7Fjhs0aBDatm2L9PR0TJ06FWq1Wrvviy++wM8//wwnJ6dq9SyjIfo5ISEBvXv3xq1btzB+/HiGutIY+1UXVD2cOXNGdOrUSfvl4eEhAIi6desW23779u1ixz364vRevXqJkSNHCl9fX+27REt7cXpkZKT2NTL/Fh0dLQCIZs2aiSFDhojRo0dr3+col8vF+vXrdfpcCQkJZvVKMWvo56SkJFG/fn3te1CHDRsmevToIezs7AQA0a9fP5GXl1f1zqokS+/jzMxM7Yvo8cjL1rt27SpkMpkAIFq2bFni3ZvGVpl+vn37drF9Re+99fT0LLb9zJkzxa61YcMGAUD4+/uXWsvOnTu1fdOpUycxatSox76cXggh4uLihKenpwAgGjRoIEaNGiU6duwo8M9L67///nu99VdlWXo/F/2aVygUYvz48WLixImlflXnV4ox2JFBPPoXVHlfCQkJJY49cuSIGDhwoHB3dxcKhUI0btxYzJs3T2RmZj72Wv+WkpIiXn75ZdGiRQvh4uIiFAqFCAgIEC+++KKIi4vT+XOZW7Czln5OT08Xc+fOFU2aNBEKhUL7bt7PPvvM5C/ztoY+ViqV4qOPPhLdu3cXbm5uQiaTCRcXF9G5c2fxwQcfiNzc3Er1jT5Vpp+Lfj8+7isyMrLYtR4XOIQQ4vTp0+K5554Tnp6ews7OTvj7+4tXX31V3Llzp9zPkZycLF599VXh7+8v7OzshKenp3juuedKhB5TsfR+9vf3r1Atpb1TubqQhPhnKhURERERWTQOTBMRERFZCQY7IiIiIivBYEdERERkJRjsiIiIiKwEgx0RERGRlWCwIyIiIrISDHZEREREVoLBjoiIiMhKMNgRERERWQkGOyIiIiIrwWBHRFQBGzduhCRJOHLkCBYsWIA6deqgRo0aGDBgAJKSkgAA4eHhaNSoEezt7REcHIzo6Ohi57h9+zZee+01tGrVCi4uLnB0dERwcDC2bdtWrJ1KpUJwcDA8PDxw+/btYvtefPFF2NjY4OjRo4b9wERkkRjsiIh08NZbb+HYsWN46623MH36dBw9ehTPPvss/u///g9ffPEFpk6dioULFyIuLg7PPfccCgoKtMeePXsW+/fvx1NPPYUPPvgAYWFhyM/Px9ixY/H1119r28nlcmzZsgV5eXmYMGECil7pvWfPHnz11Vd444030KdPH53qrl+/PiRJKva1Z88evfRJkVmzZpW4RkhIiF6vQUTlszV1AURExuLv76+9u/YoSZLg5OSEBg0aYNCgQZg9ezY8PDxKPYdCocCvv/4KmUwGAFCr1VixYgUePHiACxcuwMHBAQDg5uaGadOm4fDhwxg8eDAAoGfPnoiPj4ckSdrzTZ8+HW3btsV///tfTJw4Ubu9SZMmWLVqFV566SWsWLECL7zwAv7zn/+gffv2WLp0aaX7wMXFRVujvb19sX2TJk3Cxo0bK3Xejh07YsCAAfD29gYAZGRkIC8vr9J1ElHl8I4dEVULqamp2lDn5uYGb29v7ZeDgwOysrIQGxuL9957D8HBwXjw4EGp53nxxRe1oQ4AunXrBgAYP368NjA9uv3atWvabQ4ODtpQl5eXh/v37yM7Oxu9evXC5cuXkZmZWeJaw4YNw8KFCzF06FA8fPgQW7ZsgVwur3Q/fPTRR7hz5w7u3LmDgQMHFtuXmJhYrF+KvpycnLRtStvv7e2NXr164d1339Wee9SoUZWukYgqj3fsiKhaiIqK0v7/iRMnEBgYWGx/UlISZs+eje+++w6JiYlYt24d5syZU+I8/v7+xb6vWbMmAKBevXqlbk9LS9Nuy8/Px9KlS7Fp0yZcv369xLnT09Ph4uJSbNtXX32FRo0a4cyZM1izZg2aNm36+A9bSZGRkaVuf+mll/Dll1/Cz8+v1DueRGQ+eMeOiKqFM2fOAABcXV1LDUf16tXDF198of3+ypUrpZ7n0bt1Fdle9HwcUPgM2pIlS9CjRw9s3rwZBw8exJEjRzB27FgAgEajKXH88ePHkZ6eDqDwGT1TKArF7dq1M8n1iajieMeOiKqFonDSvn37Ys+4PcrJyQkymQxqtRpeXl56r2Hbtm3o1asXNm3aVGz7+vXrS21/584dTJ48Ga1bt0b37t3x6aefYvDgwRgyZIjeaytLQUEBzp8/D4DBjsgSMNgRUbVQdMcuODi4zDZbt26FWq2GJEl4/vnn9V6DTCYrcVfuypUr2L17d4m2QgiEhIQgOzsbW7duRcOGDfHbb79h8uTJOHfunHaSgqFduHABSqUSANC2bVujXJOIKo9DsURk9R48eICEhAQAJYOdEAJJSUl4++238fLLL8PGxgbvv/8+Wrdurfc6hg0bhl9//RUvvPACvvzySyxcuBCdOnVCs2bNSrT96KOPcOjQIXzwwQdo3rw5FAoFtm7diqysLEyaNEnvtZXl0WcTeceOyPzxjh0RWb1Hw8lLL72EV199Vft9eno6lEol7O3tMXDgQEyfPh1PPvmkQepYvXo1HBwc8P333+P7779HYGAgPvvsM1y6dKnYYsbnzp3D3LlzMWjQIEybNk27vUWLFlixYgWmTZuG8PBwTJ8+3SB1PqqoLi8vL9SpU8fg1yOiqmGwIyKr92iwe3SW6qOUSiWysrLg6+tb6v6QkJBSF9vt1atXsQkSRerXr19iu5OTE8LDwxEeHl6i/eLFi7X/37JlyzLXgHv11VeLBVNDK+o7DsMSWQYOxRKR1SsKJ08++SSEEMW+UlJS8OOPPyIwMBBHjx5F9+7dkZKSYuKKzYNGo0FsbCwADsMSWQoGOyKyekUTJ0p7bs7T0xNPPfUUvv32WwCFz+M9uuxJdXb58mVkZ2cDYLAjshQMdkRk1TIzM3H16lUApQe7Ii1atECtWrUAAJcuXTJKbebu0ef+GOyILAODHRFZtejoaO2zbo+b6WprW/Kx43+/1L6sr169euHYsWPltikoKDDIZzSUoiFsV1dXBAQEmLgaIqoITp4gIqtWFE7kcnmpy4oUSUpKwt27dwGgWLtvvvmmWLujR49iw4YNmD9/frF2j64rN2nSJPTp06fENcp6O4W5enTiRFmLOhOReWGwIyKrVvR8XWBgIOzs7MpsN3/+fACFd+0efYH9uHHjirXLzs7Ghg0b0K9fP/Tq1avYvmPHjgEAOnbsWOI4SxQTEwOAw7BEloRDsURk1YruOpU2DKvRaPDXX3/h2WefxZYtWwAULjvSuHFjo9ZojhITE7VLw3CpEyLLwTt2RGS1cnJyEB8fDwDYvXs3fHx8tPs0Gg0yMjKQn58PALC3t8fSpUsxe/ZsvVw3NTW12LYaNWrAwcGhyuc2Fr5xgsgyMdgRkdWKiYnRvps1JycHOTk52n1yuRxubm5o1qwZnnzySUyaNAl169bVy3XnzJmDOXPmFNu2fPlyzJ07Vy/nN4aiGbGOjo4IDAw0cTVEVFEMdkRktbp161bqWyEMbebMmXj66aeLbbO04d0lS5ZgyZIlpi6DiHTEYEdEpGeBgYHo27evqcsgomqIkyeIiKqRSZMmadfV27Nnj17PPWvWLO25v/76a72em4gqhnfsiIiqAU9PT+Tl5RXbZm9vr9druLi4FFvPDyhc3JiIjIfBjoioGvjrr78Mfo13330X7777rsGvQ0Rl41AsERERkZVgsCMiIiKyEpIwxVoARERERKR3vGNHREREZCUY7IiIiIisBIMdERERkZVgsCMiIiKyEgx2RERERFaCwY6IiIjISjDYEREREVkJBjsiIiIiK8FgR0RERGQlGOyIiIiIrASDHREREZGVYLAjIiIishL/D2yEuTXkEN/FAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAnYAAAHWCAYAAAD6oMSKAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8pXeV/AAAACXBIWXMAAA9hAAAPYQGoP6dpAABs4klEQVR4nO3deViUVf8/8Pc9w74NCiKIiCImsiiLGlmampSWW6m5K67lkm2W9uSG+qjPU980KXFJzdzqKZdCy3LJ1MoN3BBFQRQXFNl3GGbu3x/E/BwZkAGGYWber+viSu71MwfTt+e+zzmCKIoiiIiIiMjgSfRdABERERHVDwY7IiIiIiPBYEdERERkJBjsiIiIiIwEgx0RERGRkWCwIyIiIjISDHZERERERoLBjoiIiMhImOm7ANKOUqnEvXv3YG9vD0EQ9F0OERER6ZgoisjLy0OLFi0gkVTfJ8dgZ2Du3bsHDw8PfZdBREREDez27dto2bJltccw2BkYe3t7AOU/XAcHBz1XYxjkcjl+++03vPjiizA3N9d3OUaH7atbbF/dYxvrFtu37nJzc+Hh4aHKANVhsDMwFY9fHRwcGOxqSC6Xw8bGBg4ODvxDRQfYvrrF9tU9trFusX3rT01eweLgCSIiIiIjwWBHREREZCQY7IiIiIiMBIMdERERkZFgsCMiIiIyEgx2REREREaCwY6IiIjISDDYERERERkJBjsiIiIiI8GVJ4iIiIjqQKEUcTo5E2l5xXCxt0LXNk0hlTx5lQhdYLAjIiIiqqUDcamIiI5Hak6xapubzAoLB/iir79bg9fDR7FEREREtXAgLhXTtsWqhToAuJ9TjGnbYnEgLrXBa2KwIyIiItKSQikiIjoeooZ9FdsiouOhUGo6QncY7IiIiIi0dDo5s1JP3aNEAKk5xTidnNlwRYHBjoiIiEhraXlVh7raHFdfGOyIiIiItNTMzrJGx7nYW+m4EnUcFUtERESkhYz8Eqw/llTtMQIAV1n51CcNicGOiIiIqIb+TsrA29+eQ1peCcwkAsqUIgRAbRBFxQx2Cwf4Nvh8dnwUS0RERFRDD3KLkZZXAm8XO+yb9RzWjgmGq0z9caurzApRY4L1Mo8de+yIiIiIqqFUipD80/M2OMgdcoUSr3R0g42FGXxcHRDm68qVJ4iIiIgau18v38dnv13DjilPw+mfARPDOnuoHSOVCHimrZM+yquEj2KJiIiIHlMsV2Dhj3F4Y2sMEh7kYe0f1Q+WaCzYY0dERET0iMS0fLy18xyupOYCAKb28MLsF9vruaqaYbAjIiIiAiCKIn6IuYMFP15GkVwBJ1sLfPp6J/Rq76Lv0mqMwY6IiIgIwPZTKZi3Nw4A0K2tE1YND4SLQ8NOMFxXDHZEREREAAYFtsCmP5MxJLgl3ny+rd5GttYFgx0RERGZJFEUcTD+AcJ8m0MQBNhbmeOXt7vD0kyq79JqjaNiiYiIyORkFpRi8pazmLo1Bt/8fUu13ZBDHcAeOyIiIjIxfydl4J3vzuFBbgkszCQwkxreI9eqMNgRERGRSShTKLH6SCIij1yHKAJezWzxxchg+LZw0Hdp9YbBjoiIiIzevewivPPteZy+mQkAeL1zSywa6AcbC+OKQsb1aYiIiIg0SM0pRkxKFuwszfDvV/0xKNBd3yXpBIMdERERGSVRFCEI5e/PhXg2wX+HdESIZxO0drbVc2W6w1GxREREZHSSHuZj6Nq/ce1BnmrbkJCWRh3qAAY7IiIiMjK7Yu5gQOQJxNzKwoIf4/RdToPio1giIiIyCvklZViwNw67z90FADzj5YRVIwL1W1QDY7AjIiIigxd3Nwdv7TyH5PQCSATg3T5PYXovb4NcFqwuGOyIiIjIoMWmZGHEupMoVSjhJrPC5yOC0LVNU32XpRcMdkRERGTQOrrLENjKETJrc3wytCMcbSz0XZLeMNgRERGRwYlNyYKvmwOszKUwk0qwcXxn2FmaqaY3MVUcFUtEREQGQ6EUserQNQyN+gsrfrmq2m5vZW7yoQ5gjx0REREZiNSc8mXBTiWXLwuWX1IGpVKExMQGSFSHwY6IiIgaFYVSxOnkTKTlFcPF3gpd2zTF0YQ0zP7+ArIK5bC1kOLfrwZgcJBxLgtWFwx2RERE1GgciEtFRHQ8UnOKVdtsLKQoLFUAAPzdHRA5MhhtjHwFidpisCMiIqJG4UBcKqZti4X42PaKUPeCjwvWjAmGpZm04YszEBw8QURERHqnUIqIiI6vFOoeFZ+aCzMJo0t12DpERESkd6eTM9Uev2qSmlOM0/8MnCDNDDLYJSQkIDIyEuHh4QgICICZWfm8NUuXLq3ynEWLFkEQhGq/rl69qvHcsrIyrFmzBqGhoXBwcICNjQ0CAgKwZMkSFBUVaTwnPDz8ifcTBAG9e/eulzYhIiIyZGl51Yc6bY8zVQb5jl1UVBQ+//zzWp3bqVMnBAYGatwnk8kqbSspKUH//v1x6NAhWFpaqsLdqVOnsGDBAuzatQtHjx6Fo6Oj2nnPPfdctXXs2LEDcrkcvXr1qtXnICIiMhaiKOJcSnaNjnWxt9JtMQbOIIOdv78/Zs+ejaCgIAQHB2PZsmXYunVrjc4dPHgwFi1aVON7zZ8/H4cOHYK7uzsOHDgAf39/AEBeXh5GjhyJ/fv3Y8aMGdi+fbvaeZMnT8bkyZM1XvP06dPYsmULJBIJwsPDa1wLERGRsckqKMWHuy7iYPyDao8TALjKrEx2DdiaMshg93hgkujoRUq5XI6oqCgAwNKlS1WhDgDs7e3x1VdfwcvLCzt37kRERAS8vb1rdN2NGzcCAF588UV4eHjUf+FEREQGILOgFK+sPo7UnGJYSCUYHNQC35+9AwBqgygqph9eOMAXUk5GXC2DfMeuoVy5cgX5+fkAgD59+lTa7+rqCn9/f4iiiF27dtXomkVFRfj2228BAJMmTaq/YomIiAxMU1sLPOftDC9nW+ye3g3/HdoJUWOC4SpTf9zqKrNC1Jhg9PV301OlhsMge+zqIjY2FnPnzkVmZiZkMhmCgoIwYMAA2NvbVzq2ItQBgJOTk8brOTs7AwBiYmJqdP8ffvgBubm5cHZ2xsCBA2vxCYiIiAzXg9xiSCUCnO0sAQARg/wgioCtZXkk6evvhjBf10orT7CnrmZMLthFR0cjOjpabZtMJsPq1asxbtw4te0uLi6qX9+4cQN+fn6Vrnfjxg0AQHJyco3uv2nTJgDA2LFjYWFhoVXtREREhuzI1QeY/f1FBLjLsDm8CyQSATYWlaOIVCLgmbaaO1SoeiYT7Nq2bYtly5ahX79+8PT0BADEx8djxYoV2LdvH8aPHw+pVIrRo0erzvH29karVq2QkpKCDRs2YNWqVWrXPHr0KBISEgAAubm5T6zhxo0b+OOPPwDU/DFsSUkJSkpKVN9X3Ecul0Mul9foGqauop3YXrrB9tUttq/usY11Sy6Xo0wJLN1/BVtO3gYAPMwrxsPcQjS1ZQdHTWjze9Nkgt3YsWMrbXv22WcRHR2NWbNmITIyEu+++y6GDRum1pO2cOFCTJo0CZGRkXBwcMCkSZPg4OCAw4cPY8aMGTA3N4dcLq/RAI5NmzZBFEV07dpVY++fJsuXL0dERESl7b/99htsbGxqdA0qd/DgQX2XYNTYvrrF9tU9trFuPCwCtlyX4nZBeah73lWJga2ycPKPQ3quzHAUFhbW+FhBFMXqVu8wCOHh4diyZQuWLFmCefPmaX1+ZmYmXFxcoFAocOzYMXTv3l1t/+LFi7F48WIoFAq17f7+/hg4cCCWLVuGbt264c8//6zyHkqlEp6enrhz5w7WrVuHqVOn1qg2TT12Hh4eSE9Ph4ODgxaf0nTJ5XIcPHgQYWFhMDc313c5Roftq1tsX91jG+vOTxdSMf+neBSWKiCzNsN/XvXHCx1cnnwiqal4Nz8nJ+eJf/ebTI9ddZo2bQoXFxekpqbizp07lfYvWLAAY8aMwe7du5GUlAQLCwuEhoZiyJAhqjnxAgICqr3Hb7/9hjt37sDGxgYjRoyocW2WlpawtLSstN3c3Jx/AGmJbaZbbF/dYvvqHtu4fhXLFYj8PQmFpQq0tRex+Y1uaOVceaAiPZk2vy8Z7AAoFArk5OQAgMbRsQDg5eWF2bNnV9p+/PhxAEBYWFi196gYNDFs2DD2tBERkdGzMpcicmQwDl5ORZuiBLjJuGJEQ+A8dgB++uknFBYWQhAEdO7cucbnnTx5EidOnICHhwcGDRpU5XEZGRn48ccfAXDuOiIiMk6iKOKbv29i68lbqm0BLWV4q3dbcKaShmMSPXYpKSk4duwYhg4dCisr9X8x7N27V7WSxejRo+Hq6qq2PysrC2lpaWjfvr3a9pMnT2LIkCEQBAHr16+HmVnVTblt2zaUlpbiqaeeqvT+HhERkaHLLizFhz9cxG/xD2AhleA5b2e0cbbVd1kmySCDXWxsLKZPn676PikpCQCwbt067Nu3T7V9z549cHNzQ2ZmJsaOHYtp06YhKCgI7u7uKCoqQnx8PK5fvw4A6NWrl2r5sEfdunULQUFB6NChA7y9vWFra4uEhAScO3cO5ubm2LhxI/r27VttvZs3bwYATJw4sc6fnYiIqDE5ezMTs3aew72cYphLBczt54PWTpy1QV8MMtjl5ubi1KlTlbbfuXNHbfBDxWhSDw8PzJkzB2fOnEFiYiJiY2NRWloKZ2dn9O/fH6NGjcLw4cM1Tlni7u6ON954AydOnMAff/yBkpIStGjRAlOmTMH7779fqSfvcTExMbhw4QKkUmmlCZCJiIgMlUIpIupoIlYeug6FUkRrJxtEjgxGQEuZvkszaQYZ7Hr27AltZmlxcnLCihUranWvZs2aYe3atbU6FwBCQkK0qpWIiKixUypFTPj6DI5dewgAeDXIHUsG+8PO0iBjhVHhT4CIiIi0IpEICPVqirM3M7FkkD+GhLTUd0n0DwY7IiIieqLSMiUyCkrgJrMGALzZoy0GdGwBj6Z8n64x4XQnREREVK2UjEIMW/sXxm08jaLS8lWYJBKBoa4RYrAjIiKiKv104R5eXn0cF+7k4GF+CRLT8vVdElWDj2KJiIioksLSMkT8FI/vzt4GAHRt3RSrRgSihaO1niuj6jDYERERkZqr93Mxc8c5JKblQxCAt3q3w6ze3jCT8kFfY8dgR0RERGqW/3wViWn5aO5giVXDg/BMWyd9l0Q1xOhNREREalYMCcDgwBb4eVZ3hjoDw2BHRERk4mJuZSLy8HXV924ya6waEQQnO0s9VkW1wUexREREJkqhFLH2jyR8dvAaFEoR/u4y9PJx0XdZVAcMdkREREZMoRRxOjkTaXnFcLG3Qtc2TSGVCEjLLca7/zuPPxMzAACDAlugc+smeq6W6orBjoiIyEgdiEtFRHQ8UnOKVdvcZFYYEuyOnadvI6OgFNbmUiwe5IehIS0hCIIeq6X6wGBHRERkhA7EpWLatliIj21PzSnGF78nAQA6uDkgcmQQvF3sGr5A0gkGOyIiIiOjUIqIiI6vFOoeZWMhxQ9vPgNbS0YBY8JRsUREREbmdHKm2uNXTQpLFbh4J6eBKqKGwmBHRERkZNLyqg912h5HhoPBjoiIyMi42FvV63FkOPhgnYiIyIiIoojEh3nVHiMAcJWVT31CxoXBjoiIyEjkFMkxd9dF/BJ3v8pjKiY0WTjAF1IJpzcxNnwUS0REZCTWHE3EL3H3YS4VMO+VDlgzKhhuMvXHra4yK0SNCUZffzc9VUm6xB47IiIiI/H2C+1w/UE+3n6hHTp5OAIAXvJ31bjyBBknBjsiIiIDlZZXjG1/38I7fZ6CRCLAxsIMm8K7qB0jlQh4pq2TniqkhsZgR0REZICOXXuI9/53Hun5pbCzMsPUHm31XRI1Agx2REREBkSuUOL/fruGtX+ULwvm42qP3j4ueq6KGgsGOyIiIgNxO7MQb+08h/O3swEAY0M98fErHWBlLtVvYdRoMNgREREZgCNXH+DtneeRV1IGBysz/HdoR45spUoY7IiIiAxAMzsrFJcpEOLZBJ+PCETLJjb6LokaIQY7IiKiRiqvWA57K3MAQEBLGXZOCUUnD0eYSzkNLWnG3xlERESNjCiK2Hk6Bc+uOIK4uzmq7Z1bN2Woo2rxdwcREVEjklssx8yd5/DR7kvILS7Dt2dS9F0SGRA+iiUiImokzqVk4a2d53AnqwhmEgEf9m2Pyc956bssMiAMdkRERHqmVIpYf/wGPv01AWVKER5NrRE5MhiB/ywLRlRTDHZERER6Fn3xHlb8chUA8EpHNyx/LQAO/wyaINIGgx0REZGeDejYAvsvpqK3jwuGd/GAIAj6LokMFIMdERFRA5MrlPj6z5sYHdoKNhZmkEgErBsbwkBHdcZgR0RE1IBuZxZi1rfncC4lG4lp+fjP0I4AwFBH9YLBjoiIqIH8fCkVc3ZdRF5xGeytzPB8+2b6LomMDIMdERGRjhXLFVi8Lx47TpXPSRfUyhGrRwTBoymXBaP6xWBHRESkQzce5mPatlgkPMiDIABvPt8W74U9xRUkSCcY7IiIiHTIxsIMD/NL4GxniZXDO6F7Oz5+Jd1hsCMiIqpnJWUKWJpJAQCuMitsGBeCVk1t0czeUs+VkbFjPzAREVE9On87G2GfHcOBuPuqbSGeTRnqqEEw2BEREdUDpVLEuj+SMDTqL6RkFuKL369DqRT1XRaZGD6KJSIi0oJCKeJ0cibS8orhYm+Frm2aIquwFO/97wKOXXsIAHglwA3LXguARMK56ahhMdgRERHV0IG4VERExyM1p1i1ramtBcoUSuQWl8HSTIKFA/wwsiuXBSP9YLAjIiKqgQNxqZi2LRaPP1zNLCgFALjJrPD1hK5o72rf8MUR/YPv2BERET2BQikiIjq+Uqh7lCgC3i52DVYTkSYMdkRERE9wOjlT7fGrJvdzi3E6ObOBKiLSjMGOiIjoCdLyqg912h5HpCsMdkRERE8gVyhrdJyLvZWOKyGqHgdPEBERVUEURXx/9g4W/BhX7XECyleY6NqmacMURlQFBjsiIiIN8kvK8K/dl/DThXsAAB9Xe1y9nwcBUBtEUTGpycIBvpBy3jrSMz6KJSIi0kAiAPGpuZBKBHzYtz1+ntUda8cEw1Wm/rjVVWaFqDHB6OvvpqdKif4/9tgRERH9o2IJMIlEgI2FGb4cFYz8kjKEeDYBAPT1d0OYr2ullSfYU0eNBYMdERERgIyCUszdcw7PeDnhjefbAoDGyYalEgHPtHVq6PKIaoSPYomIyORdyxEw8Mu/cTThISKPJCK7sFTfJRHVCnvsiIjIZJUplFh5KBFR8RKIKIG3ix2+GBUERxsLfZdGVCsMdkREZJLuZhfh7Z3ncPZWFgABr4e4Y9Egf9hY8K9GMlz83UtERCanqFSBwV/+iYd5JbC1lGJoq1LMG+wHc3P+tUiGje/YERGRybG2kGLa823RqaUMP01/BsHO4pNPIjIA/KcJERGZhMS0fMgVSnRwcwAATHi2NcY+4wkoFah+XQkiw8EeOyIiMmqiKOJ/Z29jQOQJTN8ei/ySMgCAIAgwl/KvQTIu7LEjIiKjlVcsx7y9cfjxfPmyYC0crVAsV8DOkn/9kXHi72wiIjJKF+9k462d53AroxBSiYD3wp7Cm8+35SoRZNQMsg86ISEBkZGRCA8PR0BAAMzMzCAIApYuXVrlOYsWLYIgCNV+Xb16VeO5ZWVlWLNmDUJDQ+Hg4AAbGxsEBARgyZIlKCoqemK9Fy5cwMSJE9GmTRtYWVmhSZMmCAgIwLRp05CRkVHrdiAiospEUcRXx29gSNRfuJVRCHdHa/zvjVDM6OXNUEdGzyB77KKiovD555/X6txOnTohMDBQ4z6ZTFZpW0lJCfr3749Dhw7B0tJSFe5OnTqFBQsWYNeuXTh69CgcHR01XvPTTz/F3LlzIYoiQkJCEBoaipycHFy/fh1r167FjBkz4OTEpWmIiOqLKAJ/XHsIuUJEXz9X/GdIR8hszPVdFlGDMMhg5+/vj9mzZyMoKAjBwcFYtmwZtm7dWqNzBw8ejEWLFtX4XvPnz8ehQ4fg7u6OAwcOwN/fHwCQl5eHkSNHYv/+/ZgxYwa2b99e6dzNmzfjgw8+QPv27fHDDz+ozq1w+fJltGzZssa1EBFR1URRhCAIkEgEfPZ6IA5feYDhXTwgCOylI9NhkMFu8uTJat9LJLp5oiyXyxEVFQUAWLp0qVows7e3x1dffQUvLy/s3LkTERER8Pb2Vu3PysrCO++8A2tra/z888/w8vKqdH0/Pz+d1E1EZErKFEqsPnwdD/NLsfy1AABAM3tLjOjaSs+VETU8g3zHrqFcuXIF+fn5AIA+ffpU2u/q6gp/f3+Ioohdu3ap7duyZQtyc3MxZMgQjaGOiIjq7l52EUZuOInVRxKx83QKzqVk6bskIr2qcY/dxIkTdVKATCbDypUrdXJtTWJjYzF37lxkZmZCJpMhKCgIAwYMgL29faVjK0IdgCrfg3N2dgYAxMTEqG3/9ddfAQA9evRAUVERfvjhB5w5cwYKhQLt2rXDkCFD4OHhUV8fi4jI5Px2+T4++OEicorksLM0w79f9UdQqyb6LotIr2oc7L7++msIggBRrL9lVwRBQPPmzRs02EVHRyM6Olptm0wmw+rVqzFu3Di17S4uLqpf37hxQ+Oj0xs3bgAAkpOT1bZfvHgRQPm7eP7+/qrjKsyZMwfLly/He++9V/sPQ0RkgorlCqz45Sq+/usmAKBjSxkiRwbB08lWv4URNQJavWNnZWWF119/vd5uvmXLlnq71pO0bdsWy5YtQ79+/eDp6QkAiI+Px4oVK7Bv3z6MHz8eUqkUo0ePVp3j7e2NVq1aISUlBRs2bMCqVavUrnn06FEkJCQAAHJzc9X2VUxjMnfuXLRo0QLR0dF47rnnkJmZifXr1+O///0v3n//fbi5uWHkyJFV1l1SUoKSkhLV9xX3kcvlkMvltW8QE1LRTmwv3WD76hbbt7JJX8fgz6TyP2MnPeuJ9/q0g4WZpNZtxDbWLbZv3WnTdoJYwy44iUQCV1dX3Lt3r9aF6eqa4eHh2LJlC5YsWYJ58+Zpff6sWbMQGRmJZs2a4c6dO7CwsFDt27RpEyZNmgSJRIKPP/4YkyZNgoODAw4fPowZM2YgKysLcrkcPj4+uHLliuo8S0tLlJaWQiqV4uLFi/D19VW75/Tp0xEVFQUvLy8kJSVVWduiRYsQERFRafuOHTtgY2Oj9WclIjJ0l7ME7EiUYJS3En5N6u8pElFjVVhYiFGjRiEnJwcODg7VHstgByAzMxMuLi5QKBQ4duwYunfvrrZ/8eLFWLx4MRQKhdp2f39/DBw4EMuWLUO3bt3w559/qvY5OzsjIyMDPXv2xO+//17pnnFxcQgIKB+9dePGDbRp00ZjbZp67Dw8PJCenv7EHy6Vk8vlOHjwIMLCwmBuzrms6hvbV7fYvkB+SRkS0/IR6OGo2lZQUgbbeloWjG2sW2zfusvNzYWzs3ONgl2N/6+YNWuWxgl860IX16yNpk2bwsXFBampqbhz506l/QsWLMCYMWOwe/duJCUlwcLCAqGhoRgyZIhqTryKkFbBy8sLGRkZVY6IfXR7ampqlcHO0tISlpaWlbabm5vzfxAtsc10i+2rW6bavpfu5OCtnbHILCjFz293R8sm5U8qHHXQFqbaxg2F7Vt72rRbjYPd4++X1QddXLM2FAoFcnJyAEDj6FigPIjNnj270vbjx48DAMLCwtS2h4SE4MyZM0hPT9d4vUe329nZ1apuIiJjoFCKOJ2cibS8YrjYW6Frm6aQCMCmP29ixS9XIFeIaCGzQlaBHC056JWoWlr1Yx86dEjjfG6G7qeffkJhYSEEQUDnzp1rfN7Jkydx4sQJeHh4YNCgQWr7hg0bhrVr1+LkyZMoKCiAra36aK2DBw8CKA91HTp0qPuHICIyQAfiUhERHY/UnGLVNhd7SzR3sMSlu+WDxV70bY7/Du0IRxuLqi5DRP/QaoLiF198EcHBwdi2bRvKysp0VVO9S0lJwbZt21BcXFxp3969e1UrWYwePRqurq5q+7OyslQjXx918uRJDBkyBIIgYP369TAzU8/IvXv3Rvfu3ZGWloaZM2eqvSd38eJF1buA06ZNY9c0EZmkA3GpmLYtVi3UAUBaXgku3c2FmUTA4kF+WDc2hKGOqIa0fvP0/PnzGD9+PD766CPMmjULU6dObfD35GJjYzF9+nTV9xWjStetW4d9+/aptu/Zswdubm7IzMzE2LFjMW3aNAQFBcHd3R1FRUWIj4/H9evXAQC9evVSLR/2qFu3biEoKAgdOnSAt7c3bG1tkZCQgHPnzsHc3BwbN25E3759Nda5fft29OjRA19//TUOHjyILl26IDMzEydPnkRpaSnCwsKwZMmS+mwaIiKDoFCKiIiOR3Wj9xxtLDD6aU+u9UqkBa167P766y8MGTIEEokEd+/exdy5c+Hh4YF3330Xt27d0lWNleTm5uLUqVOqr4r31e7cuaO2vaKXzMPDA3PmzEHXrl1x69YtREdH4+eff0Z+fj769++PHTt24NChQxrfdXN3d8cbb7wBiUSCP/74A3v27EF2djamTJmCS5cuYcKECVXW6eHhgfPnz2Pu3LmwtbXFL7/8gnPnziE4OBhRUVH45ZdfNA6MICIydqeTMyv11D0uPb8Ep5MzG6giIuOgVY9daGgovv/+e6SkpGDVqlXYtGkTcnNzsXr1anz55Zd47bXX8N5776Fr1666qhcA0LNnT61WwHBycsKKFStqda9mzZph7dq1tToXKF/VYvny5Vi+fHmtr0FEZGzS8qoPddoeR0TltOqxq9CqVSt89tlnuH37Nv7v//4Pnp6eKCsrw/fff49nnnkGzz//PH766af6rpWIiIxETR+uuthb6bQOImNTq2BXwd7eHu+++y4SExPx3Xff4emnn4Yoijh+/DheffVVtG/fHuvWrdM4aIGIiEyPUinim79vYs6ui9UeJwBwk5VPfUJENVenYKe6iESCYcOG4a+//sLJkycxbNgwSCQSXL9+HdOnT4eHhwcWLlyIhw8f1sftiIjIAN3OLMTor05hwY+XUSRXwtul/L3mx3vvKr5fOMAXUgkHThBpo16C3aO6du2K7777DklJSXj33Xdhb2+PjIwMLF26FJ6enpg6dWp935KIiAzA+99fwN83MmBtLsWiAb747Z0eWDsmGK4y9cetrjIrRI0JRl9/Nz1VSmS46mehPQ1atWqF5cuXY9q0afjss8+wadMmFBcXY+PGjVi/fr2ubktERI3U4kF+WLrvCv79qj88nconbe/r74YwX9dKK0+wp46odrQKdnv27EFOTk6lr+zsbI3bS0tLdVU3ERE1YkqliO2nbiG3uAwzenkDAHxcHbBt8tOVjpVKBDzT1qmhSyQySloFu4qVFirUZMoRGxsbODg4QCaTqf5LRETG63ZmIT784SL+vpEBqURAmG9zPNVc8zrcRFS/av0o9oUXXkCfPn3UApuDg0OlX0ul0vqsl4iIGqmKXrrlv1xFYakC1uZSzOnbHt7NKk/+TkS6oVWwe/XVV/Hjjz9CqVTi8OHDKCkpwQcffID+/fvrqj4iIjIAj/bSAUDXNk3xydCOqnfpiKhhaDUqdteuXbh27RpmzJgBGxsbHD9+HIMGDYKfnx82btzId+qIiExQsVyBV9f8pTbi9dspoQx1RHqg9XQnXl5eiIyMxO3bt/Hvf/8brq6uuHLlCqZOnQpPT08sW7YMWVlZuqiViIgaIStzKd7q7Y2ubZriwDvdEf5sG0g4qpVIL2o9j52joyM++ugj3Lx5E5s3b4a/vz8ePHiA+fPno1WrVnj77bdx8+bNeiyViIgaA6VSxNaTt3Dqn8euADA21JO9dESNQJ0nKDY3N8f48eNx4cIF/PrrrwgLC0NBQQG++OILtGvXDiNGjMCZM2fqo1YiItKzitUj5u+Nwwc/XERhaRkAQCIR2EtH1AjU68oTYWFhOHDgAC5duoTx48fDzMwM//vf/xAaGopevXph//799Xk7IiJqIBW9dC+tOoa/b2TAylyCCc+2hpUZZz4gakzqfUkxAPDz88OmTZtw8+ZNfPzxx2jSpAmOHTuGgQMHws/PTxe3JCIiHbmdWYgxG8t76QpLFejauikOvN0DE/guHVGjU6clxQoKCpCTk4Pc3FzVahMVv674b35+Pvr06YO9e/eitLQUV69era/aiYhIx26mF+CV1cdRUKqAlbkEH77kg/BurRnoiBoprYJdp06dVIEtLy8PSqWyxufWZJUKIiJqXDydbPBMW2fkFsnx36Ed0dqZgyOIGjOtgt2lS5eeeIwgCHBwcICjo2OVX0RE1DiJooj/nb2Nl/xc4WhjAUEQsHJ4J9hamLGXjsgAaBXs3n777WoDm6OjIxwcHNTWkyUiIsNwJ6sQc3ZdxJ+JGTh5IxMrhwcCAOytzPVbGBHVmFbBbuXKlbqqg4iI9EQURew4nYJl+6+o3qULcJdBFEX+Q53IwNRp8AQRERm2R3vpAKBr66Z8l47IgDHYERGZqL8S0zHlm7Mc8UpkRLQKdp07d0ZISAiCg4MREhKCjh07wsLCQle1ERGRDvm1kMHW0gx+LWTspSMyEloFu9jYWJw7d+7/n2xmBl9fX4SEhKgCX6dOnWBlZVXvhRIRUd2IoogjV9PQ28cFgiBAZmOOH97shpZNrNlLR2Qkav0oVhRFyOVyXLhwARcvXsTmzZsBAFKpFB06dFD16oWEhCAwMBDW1tb1VjQREWnn0Xfp/m9YJwwJaQkAaOVko+fKiKg+aRXsKkZHtWzZEhMmTECrVq0QExOD2NhYXLx4EUVFRSgrK8OlS5cQFxeHb775BgAgkUjQvn17VdCbNWtW/X8SIiKqRNOI15Kymk8uT0SGRatgFxMTg1mzZuHEiRNYsmQJ+vTpg5UrV8LX1xdKpRLx8fGqoBcbG4vz58+joKAACoUC8fHxiI+Px/bt2xnsiIgawOMjXjt7NsEnwzqhDd+lIzJaWgW7wMBAHDt2DN9++y0+/PBDHDx4EIGBgZg+fToWL14Mf39/+Pv7Y/z48QDK/6WYkJCgCntnz57FhQsXdPJBiIhMkUIp4nRyJtLyiuFib4WubZpCKhEQfeEe5u66qOql++CfEa9SvktHZNRq9Y7diBEjMGjQICxfvhyffvopIiMjsWPHDixZsgRTp05VPbIVBAE+Pj7w8fHB6NGj67VwIiJTdyAuFRHR8UjNKVZtc5NZYeEAXzR3sEKhXMFeOiITI6ntidbW1li8eDGuXLmCV199Fenp6Zg+fTqCg4Nx7Nix+qyRiIgecyAuFdO2xaqFOgC4n1OMadtikVlQgh2TQ/HdG88w1BGZkFoHuwqenp744YcfcPjwYfj5+eHChQvo1asXhg8fjpSUlPqokYiIHqFQioiIjoeoYV/FtojoeNVjWSIyHXUOdhV69eqF8+fPIzIyEo6Ojvj+++/RoUMHLFq0CEVFRfV1GyIik3c6ObNST92jRACpOcU4nZzZcEURUaNQb8EOKJ/WZMaMGUhMTMT06dNRXFyMJUuWICIioj5vQ0Rk0tLyqg51tTmOiIxHvawVm5eXh7i4OFy6dEn1FRcXB1EUIQgClErOmUREVF9c7Gu2uk9NjyMi46FVsCsrK8PVq1fVAtylS5dw+/Zt1TGi+P/f+mjZsiUCAwPx/PPP11/FREQmTqnU9Hbd/ycAcJWVT31CRKZFq2Bna2uLsrIyAOoBzszMDO3bt0dgYCCCgoIQGBiIwMBANG3KP1SIiOpblzZN4evmgPjUXAiA2iCKiqESCwf4cuAEkQnSKtjJ5XIIgoA2bdrg5ZdfRqdOnRAYGAh/f39YWlrqqkYiIpMniiKUShESiQALMwl2T++G36+mYfE+9XnsXP+Zx66vv5seqyUifanVO3bJycn4/vvvkZSUhJs3byIlJQXBwcHw9PSs7/qIiEyeQgQ+2nsZdpbmWDTQD4IgwMpcin4BbnjRz1XjyhNEZJq0CnYeHh6q9+kePHiAX375BQcOHFDtb9KkCYKCghAcHKz6ateuXf1WTERkQorlCmxOkOBS1j1IBOD1Lh7wayFT7ZdKBDzT1kmPFRJRY6JVsLt16xYyMjIQGxurWv81JiYGycnJAIDMzEwcPnwYR44cUZ1jZ2eHwMBAtbDn5+dXv5+CiMgI5RbLMembWFzKksDCTIIvRgaphToiosdp/SjWyckJYWFhCAsLU23Lzs5GbGys6ismJgaJiYkQRRF5eXk4fvw4Tpw4AaB8/diKARhERKTZw7wSjN90GvGpubCSivhqXDCee6q5vssiokauXuaxc3R0RO/evdG7d2/Vtry8PJw7d06tdy8hIUFtNC0REVWWklGIsZtO4VZGIZztLDDBqxBPc+oSIqqBegl2mtjb26NHjx7o0aOHalthYSHOnz+vq1sSERmFaw/ycDuzEB5NrbF5fAgunzyq75KIyEDoLNhpYmNjg27dujXkLYmIDE4f3+b4YlQwOns2QRNrKS7ruyAiMhg1Xiv2p59+wm+//VavN9fFNYmIDNHvCWm4nVmo+v7lADe4OHBJMCLSTo177AYPHgw3NzfcvXu33m6ui2sSERmaH2LuYM6ui/BsaoNd07qhia2FvksiIgOl1aNYXQx84GAKIjJlG47dwL9/vgIACGzlCDurBn1DhoiMjFZ/ghQVFeGbb77RVS1ERCZDFEX850AC1v6RBACY0r0NPurXARKuGkFEdaBVsMvNzcWECRN0VQsRkUkoUyjx8Z44fHe2fCWfOX198ObzXhAEhjoiqpsaB7tWrVrp5A8dFxeXer8mEVFj9n8Hr+G7s7chEYDlrwVgeJdW+i6JiIxEjYPdzZs3dVgGEZHpmPhsGxy5kob3XnwKL/m56rscIjIifEuXiKgBFMsVsDKXAgCa2Vti/6znYCat8YxTREQ1wj9ViIh07HZmIfp9fhzf//NOHQCGOiLSCf7JQkSkQ1fv52JI1F9ITi/Al78noqRMoe+SiMiI8VEsEZGOnLmZiUlfn0FucRnaN7fHN5O6wtJMqu+yiMiIMdgREenAkasPMG1bLErKlOjs2QQbx3eBzMZc32URkZFjsCMiqme7Yu7gw10XoVCK6O3jgi9HBcPagj11RKR7DHZERPXsVkYBFEoRrwW54z9DO8KcAyWIqIEw2BER1bN3w56Cj5sD+vq5cokwImpQ/GckEVEdKZQi1v2RhKLS8hGvgiDg5QA3hjoianAMdkREdVAsV2DG9lgs/+Uq3toZC1EU9V0SEZkwvQS7q1ev4u+//0ZZWZk+bk9EVC/yiuWYsPkMDly+DwupBENDWupkTW0ioprSabCLjIzE66+/rrZtypQp8PPzw3PPPYeOHTvi4cOHuiyBiEgn0vNLMHLDSfx9IwN2lmb4emIX9PV303dZRGTidBrsNm3aBCcnJ9X3x44dw8aNGzFixAj8+9//RkpKClasWKHLEoiI6t3tzEIMjfoLcXdz4WRrgW+nhqJbW2d9l0VEpNtgd+vWLfj6+qq+37VrF1q0aIFt27Zh7ty5mD59OqKjo7W+bkJCAiIjIxEeHo6AgACYmZlBEAQsXbq0ynMWLVoEQRCq/bp69arGc8vKyrBmzRqEhobCwcEBNjY2CAgIwJIlS1BUVKTxnJs3bz7xfnPnztX6sxORfimVIqZujcHNjEK4O1rj+zefgb+7TN9lEREB0PF0J8XFxbC1tVV9f+TIEbz44ouqd1B8fHxw584dra8bFRWFzz//vFY1derUCYGBgRr3yWSV/3AuKSlB//79cejQIVhaWqrC3alTp7BgwQLs2rULR48ehaOjo8Zr2traYujQoRr3hYSE1OozEJH+SCQCVrwWgEXRlxE1OgSuMit9l0REpKLTYNeyZUtcvHgRQHnv3eXLl/Hhhx+q9qenp8PGxkbr6/r7+2P27NkICgpCcHAwli1bhq1bt9bo3MGDB2PRokU1vtf8+fNx6NAhuLu748CBA/D39wcA5OXlYeTIkdi/fz9mzJiB7du3azzf2dkZX3/9dY3vR0SNU06RHDLr8iXBOnk4Yve0bhwoQUSNjk6D3bBhw/Dpp5+irKwMp06dgr29Pfr376/af/78eXh5eWl93cmTJ6t9L5Ho5omyXC5HVFQUAGDp0qWqUAcA9vb2+Oqrr+Dl5YWdO3ciIiIC3t7eOqmDiBqOQinidHIm0vKK4WJvha5tmiL6wj0s+DEO30x6GoEejgDAUEdEjZJOg928efNw9+5d7NixA46Ojvjmm2/QpEkTAEBOTg5+/PFHvP3227osoU6uXLmC/Px8AECfPn0q7Xd1dYW/vz/OnDmDXbt2Yc6cOQ1dIhHVowNxqYiIjkdqTrFqm4OVGXKLy6dm2hN7RxXsiIgaI50GO2tr6yofQ9rb2+PevXu1ehRbF7GxsZg7dy4yMzMhk8kQFBSEAQMGwN7evtKxFaEOgNro3kc5O5ePhIuJidG4v6CgACtWrMDNmzdhbm6Otm3bol+/fmjfvn09fBoiqi8H4lIxbVssHp9euCLU9fJphoUD/Bq+MCIiLehtrViJRKJxsIKuRUdHVxqJK5PJsHr1aowbN05tu4uLi+rXN27cgJ9f5T/Ub9y4AQBITk7WeL/09HR89NFHatvee+89jB49GlFRUbCzs6vV5yCi+qNQioiIjq8U6h51NTWv2v1ERI2BToPd4sWLn3iMIAiYP3++LssAALRt2xbLli1Dv3794OnpCQCIj4/HihUrsG/fPowfPx5SqRSjR49WnePt7Y1WrVohJSUFGzZswKpVq9SuefToUSQkJAAAcnNz1fZZWlpiypQpGDp0KHx9feHk5ITk5GTs3r0bK1aswLZt25CWloYDBw5U+65OSUkJSkpKVN9X3Ecul0Mul9epTUxFRTuxvXTDGNr3VHKm2uNXTVJzivF3YhqebtO0gaoqZwzt29ixjXWL7Vt32rSdIOpwYcPqBjUIggBRFCEIAhQKRZ3uEx4eji1btmDJkiWYN2+e1ufPmjULkZGRaNasGe7cuQMLCwvVvk2bNmHSpEmQSCT4+OOPMWnSJDg4OODw4cOYMWMGsrKyIJfL4ePjgytXrtTofqdPn0a3bt2gUCiwZ88eDB48uMpjFy1ahIiIiErbd+zY0eCPsYmMVUy6gG+uS5943Lh2CoQ4s9+OiBpWYWEhRo0ahZycHDg4OFR7rE6D3a1btyptUygUSE5Oxpdffol79+7h66+/ho+PT53uU9dgl5mZCRcXFygUChw7dgzdu3dX27948WIsXry4UgD19/fHwIEDsWzZMnTr1g1//vlnje/56quvYu/evZg4cSI2btxY5XGaeuw8PDyQnp7+xB8ulZPL5Th48CDCwsJgbm6u73KMjjG076ErDzBtx4UnHrdtYme99NgZevs2dmxj3WL71l1ubi6cnZ1rFOx0+ii24pHn47y8vPDCCy/gpZdewvr16/HZZ5/psownatq0KVxcXJCamqpxwuQFCxZgzJgx2L17N5KSkmBhYYHQ0FAMGTJENSdeQECAVvfs0KED9u7d+8QJmi0tLWFpaVlpu7m5Of8H0RLbTLcMtX0PxN3HvB/jYWUuQYlcqfE9OgGAq8wKz3i7QCrRzzQnhtq+hoRtrFts39rTpt30NngCAAYOHIglS5boPdgpFArk5OQAgMbRsUB5GJ09e3al7cePHwcAhIWFaXXPjIyMau9HRLqVVVCKhT9dxk8X7gEA3GRWuJ9TDAFQC3cVMW7hAF+9hToioprSa7B78OBBpUEH+vDTTz+hsLAQgiCgc+fONT7v5MmTOHHiBDw8PDBo0KAan1dQUKAamdu1a1et6yWiujkQdx/z9l5Cen4pJALw5vNt8Xafdvj9alqleexcZVZYOMAXff3d9FgxEVHN6DTYpaSkaNyenZ2N33//HZ999hlCQ0N1WYKqjmPHjmHo0KGwslJf13Hv3r2qlSxGjx4NV1dXtf1ZWVlIS0urNO/cyZMnMWTIEAiCgPXr18PMTL0p169fj379+sHDw0Nte3JyMqZMmYLU1FQ4Ojpi4sSJ9fUxiegJcgrlWPBTHH48X95L187FDp8O64RO/0w63NffDWG+rpVWnmBPHREZCp0Gu9atW1c5lYcoivDy8sIXX3yh9XVjY2Mxffp01fdJSUkAgHXr1mHfvn2q7Xv27IGbmxsyMzMxduxYTJs2DUFBQXB3d0dRURHi4+Nx/fp1AECvXr1Uy4c96tatWwgKCkKHDh3g7e0NW1tbJCQk4Ny5czA3N8fGjRvRt2/fSuetWbMGb775Jvz8/PDUU0/BwsICycnJOH/+PEpKSuDk5ITdu3erJjgmIt2TSIAzyZlqvXSWZuqjYaUSAc+01TwhORFRY6fTYLdgwYJKwU4QBDRp0gTt2rVDWFgYpNInTzHwuNzcXJw6darS9jt37qgNRqgYTerh4YE5c+bgzJkzSExMRGxsLEpLS+Hs7Iz+/ftj1KhRGD58uMbpWdzd3fHGG2/gxIkT+OOPP1BSUoIWLVpgypQpeP/996tcQWLWrFn49ddfcfHiRRw9ehS5ubmws7NDx44d8fLLL2P69OlqEyATkW7kFMnhYGUGQRBgb2WOVSOCYGkmUfXSEREZk3oNdqtXr0bfvn3x1FNPAYBqxGh969mzJ7SZpcXJyQkrVqyo1b2aNWuGtWvXan3exIkT+ZiVSM9+vXwfH++Jw/svPoWRXVsBALo28HQlREQNqeoZhGvh3XffxdmzZ1XfS6VS7Ny5sz5vQUT0RFkFpXj723N4Y2sM0vNL8L+zt7X6xyARkaGq1x47R0dHpKenq74XRZF/mBJRg6ropUvPL4FEAN54vi3efqFdtUv3EREZi3oNdk8//TSWLl2KW7duQSaTAQB2796NxMTEKs9pqLViici4ZRWUYlH0ZdWIV+9/RrwG8l06IjIh9RrsvvjiC4wbNw4rV64EUB7adu/ejd27d1d5DoMdEdWH5IwCRF+4p9ZLZ2Wu/eAsIiJDVq/BzsvLCydOnEBxcTHS0tLQunVrrFq1SqvJe4mIaqpMoYSZtPxV4eBWTTDvFV8EezZhLx0Rmaw6BTtRFDW+t2JlZYVWrVph/PjxePrpp6tcM5aIqLZ+u3wfi/fF4+sJXeHtYgcAmPhcGz1XRUSkX1qPir179y7Cw8Ph4uICMzMzyGQy9OrVC19//XWlgRKbN2/G008/XW/FEhFVjHidujUGd7KKsOb3qt/hJSIyNVr12KWnpyM0NBT37t1Thbi8vDwcO3YMx44dw44dO7B3717Y2NjopFgiMm2/Xb6Pfz0y4nVqj7Z4p087fZdFRNRoaBXsVqxYgbt37wIAfH190bVrV5SWluLvv/9GcnIyDh8+jDfffBPffPONToolItOUXViKRT9dxt5/Rry2bWaLT4d1QlCrJnqujIiocdHqUewvv/wCQRAwbdo0XLp0CZs2bcK2bduQlJSENWvWQBAEbN++HRcvXtRVvURkgr4/ewd7z1eMePXC/lndGeqIiDTQqsfu5s2bAIBly5ZVGjTx5ptv4vr161i5ciW2b9+Ojh071luRRGTaJjzbGnH3chDerTUDHRFRNbTqsSsqKoKTk5Nq8uHHTZo0CQBw6tSpuldGRCbrUPwDjN14CiVlCgCAmVSCz0cEMdQRET2B1tOdmJlVfUq7duUvMaempta+IiIyWdmFpYiIjseec+Xv8n7z1y1M6eGl56qIiAxHvU5QbG5uDgDIz8+vz8sSkQk4FP8AH+25hId55SNep/TwwthnOAcmEZE2tA52paWliIuLg4+PT5W9d4/PZ0dEVJXHe+k44pWIqPa0DnZZWVno1KkTzM3N4evri06dOqFTp04IDAxEp06ddFEjERmxj/fGYf/FVFUv3bt9nuIar0REtaRVsPPw8MDt27cBlPfcnT9/HhcuXKh0XF5eHj777DOEhIQgODgY9vb29VMtERmdOS/54HZmISIG+rGXjoiojrQKdrdu3UJGRgZiY2MRExOj+m9ycrLacYWFhfjggw8AAIIgoG3btujcuTNCQkIQEhKC559/vv4+AREZlEPxD3Dxbg7eC3sKANDKyQY/znhW47rTRESkHa0fxTo5OSEsLAxhYWGqbdnZ2YiNjVV9xcTEIDExEaIoQhRFXL9+HYmJifj2228hCALKysrq9UMQUeOXUyhHRPRl7P7nXbrnvJ3RtU1TAGCoIyKqJ/UyKtbR0RG9e/dG7969Vdvy8vJw7tw5td69hIQEDqwgMmIKpYjTyZlIyyuGi70VurZpCqlEwKH4B/jXnktI+2fE6+TuXujYUvN8mEREVHv1Ot3Jo+zt7dGjRw/06NFDta2wsBDnz5/X1S2JSI9+vfwA//4lAak5xaptzR0s0drJFqeSMwEAXs1s8cnQTgjx5Lt0RES6oLNgp4mNjQ26devWkLckogZwIUPA5r8v4PH++Ae5JXiQWwIB5SNe3wvjiFciIl1q0GBHRMZHoRSx+6akUqh7VFM7C8zp6wOphO/SERHpklZrxRIRPe7srSxkl1Yf2DLyS3H6n8exRESkOwx2RFQnaXklNTyu+MkHERFRnTDYEVGduNhb1vA4Kx1XQkREfMeOiGpNrlBi36XUao8RALjKrFRz1hERke4w2BFRrWQXlmLGjlj8mZgBQAQgQPjnVxUq3rxbOMCXAyeIiBoAH8USUa1EHknEn4kZsLWQYnJ7Jb4Y0QmuMvXHra4yK0SNCUZffzc9VUlEZFrYY0dEtTL7xfa4k1WImT29cCP2OF7ya45+Hd01rjxBREQNg8GOiGrsaEIann+qGQRBgLWFFOvGdoZcLseNf/ZLJQKeaeuk1xqJiEwZH8US0RPJFUrM3xuH8M1nsPpwor7LISKiKrDHjoiqlVMox/QdMfgzMQOCAFiY8d+DRESNFYMdEVUp6WE+Jm85i+T0AthYSLFqeCBe9HPVd1lERFQFBjsi0uj49YeYsT0WucVlcHe0xoZxneHbwkHfZRERUTUY7IiokvT8Ekz55iyK5UqEeDbB2jEhaFbDFSaIiEh/GOyIqBJnO0ssGeSPv5MysOy1AFiZS/VdEhER1QCDHREBKB8kkVFQAq9mdgCAYZ09MDSkJQSB89ARERkKDm8jItx4mI9X1/yJcZtOIz2/RLWdoY6IyLAw2BGZuBPX0zH4yz9xI70ASqWIrIJSfZdERES1xEexRCZs6983sSg6HgqliKBWjlg3NgQu9lZPPpGIiBolBjsiE1SmUGLxvnh88/ctAMCrQe5YzkESREQGj8GOyAStPHRNFeo+eKk9pvdsy/fpiIiMAIMdkQma0t0LRxMe4q3e7dDXnytJEBEZCwY7IhOR9DAfbf+ZysTRxgLRM5+DRMJeOiIiY8JRsUQmYNvJW3hx5TFs/fumahtDHRGR8WGwIzJiZQolFv4Yh3l746BQirhwJweiKOq7LCIi0hE+iiUyUjlFcszcEYvj19MBcJAEEZEpYLAjMkLJ6QWYtOUMbjwsgLW5FCuHB3KQBBGRCWCwIzIyOUVyDIn6C5kFpWghs8KG8Z3h10Km77KIiKgB8B07IiMjszbHGz28EOjhiL0zn2WoIyIyIeyxIzICZQolsovkcLazBABM7eGFCc+2gYUZ/+1GRGRK+Kc+kYHLKZJjwtdnMHrDKeSXlAEABEFgqCMiMkH8k5/IgN1ML8Cra/7E8evpSMksxJXUXH2XREREesRHsUQG6q+kdEzbFoucIjncZFbYMK4z/N35Ph0RkSljsCMyQNtP3cLCHy+jTCki0MMR68eFwMXeSt9lERGRnjHYERmYTSeSsXhfPABgUGAL/GdIR1iZS/VcFRERNQZ8x47IwLzS0Q1uMit88FJ7rBoeyFBHREQq7LEjMgA5RXLIrM0BAM0drHDwvedhZ8n/fYmISB177IgaEYVSxN9JGfjx/F38nZQBhVLEX0np6PnJ74i+cE91HEMdERFpwr8diBqJA3GpiIiOR2pOsWqbg5UZ8kvKoBSBbSdvoX9HNwiCoMcqiYioMWOwI2oEDsSlYtq2WIiPbc8tLp9wuLNnE2yZ2JWhjoiIqsVHsUR6plCKiIiOrxTqHnU3uwjmUv7vSkRE1ePfFER6djo5U+3xqyapOcU4nZzZQBUREZGhMshgl5CQgMjISISHhyMgIABmZmYQBAFLly6t8pxFixZBEIRqv65evarx3LKyMqxZswahoaFwcHCAjY0NAgICsGTJEhQVFdW47rt376JJkyYQBAFmZnwKTuXS8qoPddoeR0REpssg00VUVBQ+//zzWp3bqVMnBAYGatwnk1VejqmkpAT9+/fHoUOHYGlpqQp3p06dwoIFC7Br1y4cPXoUjo6OT7z3lClTkJOTU6u6yXgVlSpqdBxXliAioicxyGDn7++P2bNnIygoCMHBwVi2bBm2bt1ao3MHDx6MRYsW1fhe8+fPx6FDh+Du7o4DBw7A398fAJCXl4eRI0di//79mDFjBrZv317tdb766iv88ssvmDlzJr744osa35+Ml1yhxJe/JyLy8HWYSwWUKUSN79kJAFxlVujapmlDl0hERAbGIIPd5MmT1b6XSHTzRFkulyMqKgoAsHTpUlWoAwB7e3t89dVX8PLyws6dOxEREQFvb2+N17l16xbee+89hIaG4t1332WwI8Tfy8Xs7y8gPjUXABDQwgEXbudAANTCXcUY2IUDfCGVcEQsERFVzyDfsWsoV65cQX5+PgCgT58+lfa7urrC398foihi165dGq8hiiImTpyI0tJSbNq0SWchlAyDXKHEqkPXMPCLE4hPzUUTG3OsHhmEPdOfRdSYYLjK1B+3usqsEDUmGH393fRUMRERGRKD7LGri9jYWMydOxeZmZmQyWQICgrCgAEDYG9vX+nYilAHAE5OThqv5+zsDACIiYnRuH/NmjU4cuQIli1bhg4dOuDmzZt1/xBkkB7kFmPC5jOqXrqX/Jpj6eAANLO3BAD09XdDmK8rTidnIi2vGC725Y9f2VNHREQ1ZXLBLjo6GtHR0WrbZDIZVq9ejXHjxqltd3FxUf36xo0b8PPzq3S9GzduAACSk5Mr7UtKSsKcOXMQEhKCDz74oD7KJwPmZGsBqURAExtzRAzyxwANq0hIJQKeaav5HxFERERPYjLBrm3btli2bBn69esHT09PAEB8fDxWrFiBffv2Yfz48ZBKpRg9erTqHG9vb7Rq1QopKSnYsGEDVq1apXbNo0ePIiEhAQCQm5urtk+pVCI8PBylpaXYvHlzrac3KSkpQUlJier7ivvI5XLI5fJaXdPUVLSTPtrr2oM8eDrZwtKs/BH8ymEBsLWUwtnOEmVlZQ1ejy7os31NAdtX99jGusX2rTtt2s5kgt3YsWMrbXv22WcRHR2NWbNmITIyEu+++y6GDRsGCwsL1TELFy7EpEmTEBkZCQcHB0yaNAkODg44fPgwZsyYAXNzc8jl8krvzq1atQonTpxAREQEAgICal338uXLERERUWn7b7/9Bhsbm1pf1xQdPHiwwe6lUAK/3RXw210JXmghon8rZYPdW18asn1NEdtX99jGusX2rb3CwsIaHyuIoljdSkYGITw8HFu2bMGSJUswb948rc/PzMyEi4sLFAoFjh07hu7du6vtX7x4MRYvXgyFQn2+MX9/fwwcOBDLli1Dt27d8OeffwIon0A5MDAQ7du3x5kzZ2Bubq465+bNm2jTpg2kUmmNemw09dh5eHggPT0dDg4OWn9WUySXy3Hw4EGEhYWp/Sx05UpqHubsjsOV+3kAgH5+zfH58I5Gu85rQ7evqWH76h7bWLfYvnWXm5sLZ2dn5OTkPPHvfpPpsatO06ZN4eLigtTUVNy5c6fS/gULFmDMmDHYvXs3kpKSYGFhgdDQUAwZMkQ1J96jvXK//PILiouLUVBQgLCwMLVrFReXrx6gUCjQs2dPAMDcuXPRt29fjbVZWlrC0tKy0nZzc3P+D6IlXbeZXKHEmt+TEHnkOsqUIhxtzBEx0A8DO7Uw2lD3KP6e1C22r+6xjXWL7Vt72rQbgx3KQ1bFihCaRscCgJeXF2bPnl1p+/HjxwGgUoADgMTERCQmJlZ53z/++ANAeY8jGbbEtHy8/e05XL5X/g7ki77NsfRVf64WQUREDYrBDsBPP/2EwsJCCIKAzp071/i8kydP4sSJE/Dw8MCgQYNU29955x288847Gs/R9lEsGQZLMwmS0wtMrpeOiIgaF5MIdikpKTh27BiGDh0KKyv1HpS9e/eqVrIYPXo0XF1d1fZnZWUhLS0N7du3V9t+8uRJDBkyBIIgYP369bUe9UqGKy23GC4O5b+fPJraYM3oYPi2cGAvHRER6Y1BppHY2FhMnz5d9X1SUhIAYN26ddi3b59q+549e+Dm5obMzEyMHTsW06ZNQ1BQENzd3VFUVIT4+Hhcv34dANCrVy/V8mGPunXrFoKCgtChQwd4e3vD1tYWCQkJOHfuHMzNzbFx48Yq348j4yRXKBF1NAlfHEnE1xO6oJt3+STVPdu7POFMIiIi3TLIYJebm4tTp05V2n7nzh21wQ8Vo0k9PDwwZ84cnDlzBomJiYiNjUVpaSmcnZ3Rv39/jBo1CsOHD9e43Je7uzveeOMNnDhxAn/88QdKSkrQokULTJkyBe+//36lnjwybldSc/HBDxcQd7f8XbpfL99XBTsiIiJ9M8hg17NnT2gzS4uTkxNWrFhRq3s1a9YMa9eurdW5mrRu3Vqr2qlxqOilizxyHXKFCJl1+bt0gwJb6Ls0IiIiFYMMdkQN6er9XMz+/v/30oX5Nse/OeKViIgaIQY7oidIuJ+HuLu5ar10HPFKRESNEYMdkQbFcgWszKUAgIGdWiA1pxivBbuzl46IiBq1yqMFiEyYXKHE6sPX0fvTo8gqKAUACIKAN59vy1BHRESNHoMd0T+u3s/Fq2v+xGcHr+FeTjF2xVZeXo6IiKgx46NYMnlyhRJrjyZhNUe8EhGRgWOwI5PGEa9ERGRMGOzIpG0+cZMjXomIyGgw2JHJEUVRFd7+9UoHAMD7Lz6lWveViIjIUHHwBJkMuUKJL45cxxtbY1Srf8iszfGfoR0Z6oiIyCiwx45Mwr0CYNj6U7h8Lw8AcPx6Ono81UzPVREREdUvBjsyGgqliNPJmUjLK4aLvRW6tmkKpShizdEbWH1JCoWYB5m1ORYN9EX3ds76LpeIiKjeMdiRUTgQl4qI6Hik5hSrtjnbWcDaQorbmUUABPRu3wwrhvCxKxERGS8GOzJ4B+JSMW1bLMTHtqfnl68cYWMhwWut5FgwOhAWFhYNXyAREVED4eAJMmgKpYiI6PhKoe5RdpbmCHEWOY0JEREZPQY7MminkzPVHr9qkpZXgqRchjoiIjJ+DHZk0NLyqg91FXLlOi6EiIioEWCwI4PmaGNeo+McanYYERGRQWOwI4OVlleMz367Vu0xAgA3mSXaOlT3Fh4REZFxYLAjgxR3NweDvvgTF+7kwMZCCqA8xD2q4vuP+/lAwlfsiIjIBDDYkUE6dOUBUnOK0baZLX6e1R1rxwTDVaY+P52rzApRY4Lxkl9zPVVJRETUsDiPHRmkWb3bwcJMgtFPe0JmbY7WzrYI83WttPKEVCJALufICSIiMg0MdmQQiuUKRB1NwrSebWFlLoVEImB6T2+1Y6QSAc+0ddJThURERPrHYEeNXlpeMaZ+E4Pzt7NxO7MQnw0P1HdJREREjRKDHTVqcXdzMOWbs0jNKYbM2hxDO7fUd0lERESNFoMdNVoH4lLx7ncXUCRXwKuZLTaO74I2zrb6LouIiKjRYrCjRkcURXz5eyI+/WeOuu7tnPHFqGDIrDnLMBERUXUY7KjReZhfgo0nkgEA4d1aY94rHWAm5cw8RERET8JgR42Oi70V1o4JwfW0fIwJ9dR3OURERAaDwY4ahbi7OcgsKEWPp5oBAJ72csLTXpy6hIiISBt8vkV6dyDuPoat/RvTt8fi2oM8fZdDRERksNhjR3ojiiLWHE3CJ78mACgfJNHcweoJZxEREVFVGOxIL4rlCszddRF7z98DAIx/xhPz+/tykAQREVEdMNhRg0vLK8YbW2NwLiUbUomAiIF+HCRBRERUDxjsqMF989ctnEvJhszaHGtGB+NZb2d9l0RERGQUGOyowb3dpx0yCkowpbsXvJrZ6bscIiIio8EXmkjnRFHEj+fvokyhBACYSyVY/lpHhjoiIqJ6xmBHOlUsV+D9/13A29+ex5J98fouh4iIyKjxUSzpzMO8Eryx9Sxi/xkk4d3cXt8lERERGTUGO9KJ+Hu5mLzlDO7lFMPBygxrRofguXYcJEFERKRLDHZU7369fB/vfncehaUKeDnb4qvxnfk+HRERUQNgsKN6lV1Yitn/u4DCUgWe83bGl6OCIbMx13dZREREJoHBjuqVo40FPhseiOPXH2J+f1+YcyUJIiKiBsNgR3WWnl+C1OxiBLSUAQDCfJsjzLe5nqsiIiIyPexOoTq5kpqLQV/8ifDNp3E7s1Df5RAREZk0BjuqtYPxDzAk6i/czS6Cg7U5ypSivksiIiIyaXwUS1oTRRFr/7iB//56FaIIPOvthDWjQjhIgoiISM8Y7EgrJWUKfLT7EnbH3gUAjA31xIIBHCRBRETUGDDYkVbW/J6E3bF3IZUIWDjAF+Oeaa3vkoiIiOgfDHaklTefb4uYW1l443kvdG/XTN/lEBER0SMY7OiJzt/ORqeWMgiCAGsLKbZO6gpBEPRdFhERET2GL0YRAEChFPF3UgZ+PH8XfydlQKEU/xkkkYRX1/yJzw9fVx3LUEdERNQ4sceOcCAuFRHR8UjNKVZtc3WwhKeTLU4lZwIAMvJLIYoiQx0REVEjxmBn4g7EpWLatlg8PgPd/dwS3M8tgUQAFg304yAJIiIiA8BHsSZMoRQRER1fKdQ9ytHGAqOf9mywmoiIiKj2GOxM2OnkTLXHr5pkFpTi9D+PY4mIiKhxY7AzYWl51Yc6bY8jIiIi/WKwM2Eu9lb1ehwRERHpF4OdCevapincZFaoapyrAMBNZoWubZo2ZFlERERUSwx2JqxiWTAAlcJdxfcLB/hCKuEUJ0RERIaAwc7E9fV3Q9SYYLjK1B+3usqsEDUmGH393fRUGREREWmL89gR+vq7IczXFaeTM5GWVwwX+/LHr+ypIyIiMiwMdgSg/LHsM22d9F0GERER1QEfxRIREREZCQY7IiIiIiNhkMEuISEBkZGRCA8PR0BAAMzMzCAIApYuXVrlOYsWLYIgCNV+Xb16VeO5ZWVlWLNmDUJDQ+Hg4AAbGxsEBARgyZIlKCoq0njOnTt38OGHHyIsLAytW7eGvb09LC0t0apVK4wYMQInTpyol7YgIiIiqmCQ79hFRUXh888/r9W5nTp1QmBgoMZ9Mpms0raSkhL0798fhw4dgqWlpSrcnTp1CgsWLMCuXbtw9OhRODo6qp139epVfPLJJ2jSpAl8fX3RpUsXlJWV4cqVK/juu+/w3Xff4T//+Q8+/PDDWn0OIiIioscZZLDz9/fH7NmzERQUhODgYCxbtgxbt26t0bmDBw/GokWLanyv+fPn49ChQ3B3d8eBAwfg7+8PAMjLy8PIkSOxf/9+zJgxA9u3b1c7LyAgAOfOnUPHjh0hkah3jO7cuRNjx47FRx99hAEDBqBDhw41roeIiIioKgb5KHby5Mn45JNPMGrUKPj4+FQKTvVFLpcjKioKALB06VJVqAMAe3t7fPXVV7C2tsbOnTuRmJiodm7z5s0RGBiosbaRI0fi+eefh1KpxKFDh3RSOxEREZkegwx2DeXKlSvIz88HAPTp06fSfldXV/j7+0MURezatUura5uZlXeWWlpa1r1QIiIiIhjoo9i6iI2Nxdy5c5GZmQmZTIagoCAMGDAA9vb2lY6tCHUA4OSkeY43Z2dnAEBMTEyNa9i/fz9+//13WFlZ4cUXX9TyExARERFpZnLBLjo6GtHR0WrbZDIZVq9ejXHjxqltd3FxUf36xo0b8PPzq3S9GzduAACSk5OrvOf06dNRWFiI/Px8XLt2DZcuXYK9vT02b96M1q1b1+HTEBEREf1/JhPs2rZti2XLlqFfv37w9PQEAMTHx2PFihXYt28fxo8fD6lUitGjR6vO8fb2RqtWrZCSkoINGzZg1apVatc8evQoEhISAAC5ublV3nvHjh3IyclRfd+sWTOsXbsWr7322hPrLikpQUlJier7ivvI5XLI5fInf3BStRPbSzfYvrrF9tU9trFusX3rTpu2E0RRFHVYS4MIDw/Hli1bsGTJEsybN0/r82fNmoXIyEg0a9YMd+7cgYWFhWrfpk2bMGnSJEgkEnz88ceYNGkSHBwccPjwYcyYMQNZWVmQy+Xw8fHBlStXqr1PZmYm4uLisGzZMvz6668YMWIEtm3bBqlUWuU5ixYtQkRERKXtX331FWxsbLT+rERERGRYCgsLMXnyZGRnZ2ucmk2NaATGjx8vAhCXLFlSq/MzMjJEqVQqAhCPHTtWaX9ERIRq/6Nf/v7+4r/+9S8RgNitW7ca30+pVIqvvPKKCECMjIys9tji4mIxJydH9RUfH1+pDn7xi1/84he/+GX8X7dv335ixjCZR7HVadq0KVxcXJCamoo7d+5U2r9gwQKMGTMGu3fvRlJSEiwsLBAaGoohQ4ao5sQLCAio8f0EQUB4eDj279+PPXv2YObMmVUea2lpqTZy1s7ODrdv34a9vT0EQaj5hzRhubm58PDwwO3bt+Hg4KDvcowO21e32L66xzbWLbZv3YmiiLy8PLRo0eKJxzLYAVAoFKp34DSNjgUALy8vzJ49u9L248ePAwDCwsK0uqetrS0AIC0tTavzJBIJWrZsqdU5VM7BwYF/qOgQ21e32L66xzbWLbZv3TzxEew/OI8dgJ9++gmFhYUQBAGdO3eu8XknT57EiRMn4OHhgUGDBml1z8OHDwMAnnrqKa3OIyIiIqqKSQS7lJQUbNu2DcXFxZX27d27F5MnTwYAjB49Gq6urmr7s7KyVCNfH3Xy5EkMGTIEgiBg/fr1qgmHK6xfv17jeXK5HOvXr8fq1asBAFOnTq315yIiIiJ6lEE+io2NjcX06dNV3yclJQEA1q1bh3379qm279mzB25ubsjMzMTYsWMxbdo0BAUFwd3dHUVFRYiPj8f169cBAL169VItH/aoW7duISgoCB06dIC3tzdsbW2RkJCAc+fOwdzcHBs3bkTfvn0rnbdjxw688cYbaNu2Lfz8/GBnZ4cHDx7g8uXLuH//PiQSCZYvX46XXnqpvpuHHmNpaYmFCxdylQ8dYfvqFttX99jGusX2bVgGOd3J0aNH0atXrycel5ycjNatWyMjIwOffPIJzpw5g8TERGRkZKC0tBTOzs4ICQnBqFGjMHz4cI3ruj58+BDz58/HiRMncPv2bZSUlKBFixbo06cP3n//fbRv317jvX/++Wf8+OOPOHXqFO7du4esrCxYW1ujVatW6NGjB95880107Nixzm1BREREVMEggx0RERERVWYS79gRERERmQIGO2pQCQkJiIyMRHh4OAICAmBmZgZBELB06dInnnvo0CG8/PLLcHZ2hrW1NXx8fPDxxx8jPz+/VrWUlZVhzZo1CA0NhYODA2xsbBAQEIAlS5agqKioxte5e/cumjRpAkEQKg2i0QdjauMLFy5g4sSJaNOmDaysrNCkSRMEBARg2rRpyMjIqFVNdWUM7SuKIrZv344+ffrA2dkZ5ubmcHR0xLPPPovVq1ejtLS0VvXUh9q07+3bt7Fu3TpMnToVISEhsLS0hCAIqoFxdRETE4Nhw4ahefPmsLKyQps2bfDWW289caqqBw8eYObMmWjTpg0sLS3RvHlzDBs2DLGxsXWuqa4MvY1TUlKwbt06vPbaa/D09ISlpSXs7OzQqVMn/Otf/8LDhw/rXJNBq/FyCUT14O2339Y4m/aTVg357LPPRACiIAhijx49xGHDhomurq4iALF9+/biw4cPtaqjuLhY7NOnjwhAtLS0FJ9//nlxwIABoouLiwhA7NSpk5iVlVWja/Xr108UBEEEIEqlUq3q0AVjaeNPPvlElEqlokQiEbt06SKOGDFC7Nevn+jt7S0CEC9duqRVPfXFGNp3+PDhIgBRIpGIzz33nDh8+HCxZ8+eorm5uQhADA0NFQsLC7Wqp77Upn1Xrlyp8ZxJkybVqZbvv/9eNDMzEwGIXbp0EV9//XXRy8tLBCA2b95cvH79usbzEhISVD8HLy8v8fXXXxe7dOkiAhDNzMzE3bt316muujL0Nn722WdVbdmlSxdx+PDhYlhYmOjg4CACEJs1ayaeO3euTnUZMgY7alAbNmwQZ8+eLW7fvl28cuWKOHbs2Cf+gRIbGysKgiBKpVLx559/Vm0vKCgQX3jhBRGAOGTIEK3q+OCDD0QAoru7u1pAyM3NVS33NmrUqBp9HgDizJkzG02wM4Y23rRpkyrwaApwcXFxYnZ2tlb11BdDb9/du3eLAESZTCaeP39ebV9SUpLo7u4uAhCXL1+uVT31pTbtu3fvXvGtt94SN2/eLF64cEH8+OOP6xw67t69K9rY2IgAxHXr1qm2l5WViWPGjFEFEaVSqXaeUqkUg4KCRADi2LFjxbKyMtW+devWiQBEOzs7MTU1tda11ZWht/Hrr78urly5UkxPT1fbnpaWJvbs2VMEILZr106t7U0Jgx3pVU3W+R02bJgIQJw8eXKlfTdv3hQlEokIQLxy5UqN7llaWira2dmJAMTNmzdX2p+amipaW1uLgiBU+S/yinvb29uLoaGhYlJSUqMJdo8ztDbOzMwUHRwcRGtrazEpKalG99MnQ2vfin+ETJ8+XeO1//3vf4sAxIEDB9aoFl2rzVrgCxcurHPoqAjOffr0qbQvLy9PlMlkIgDxwIEDavv2798vAhAdHR3FvLy8SudWBPm5c+fWurb6ZmhtXJ3bt2+rehOPHz9e69oMGd+xo0attLQU+/fvBwCMGjWq0n5PT088++yzAMrnLayJK1euqN5p6tOnT6X9rq6u8Pf3hyiK2LVrl8ZriKKIiRMnorS0FJs2bdI4VY6haGxtvGXLFuTm5mLIkCHw8vLS6rM0Ro2tfa2srGp0D2dn5xodZ6wqfhaafmZ2dnYYOHAgAGD37t0azxs4cCDs7OwqnVtxvcfPM0W1bePqtGzZUvV79/bt2/VQpeEx3L+NyCRcu3YNhYWFAFDlcm8V28+dO1ejaz76orqTk5PGYyr+YIiJidG4f82aNThy5AgWLlyIDh061Oi+jVVja+Nff/0VANCjRw8UFRVh69atmDVrFmbMmIFVq1YZ3B/Wja19+/XrB6B8EvULFy6o7btx4waioqIgCAKmTJlSo1qMUV5eHhITEwFo/zOr+P5J512/fh0FBQX1Uq8hqksbVyc9PR1ZWVkAADc3tzpWaZgY7KhRS05OBgA4OjrC3t5e4zEeHh5qxz6Ji4uL6tc3btzQeEzFdk3XTEpKwpw5cxASEoIPPvigRvdszBpbG1+8eBFA+R/8/v7+GDduHCIjI7FmzRq8++678Pb2xmeffVajOhqDxta+vXv3xscff4zs7GwEBwejR48eGDlyJHr37g0fHx9YWFjgxx9/RGhoaI1qMUY3b95U/bpVq1Yaj6nqZ1bx/ZPOE0VR7T6mpi5tXJ1PP/0UCoUCbm5u6NatW51qNFQMdtSo5eXlAQBsbW2rPKbicUdubm6Nrunt7a36g2TDhg2V9h89elS1zu/j11QqlQgPD0dpaSk2b97cKKY3qavG1sYV05jMnTsXCoUC0dHRyMrKUgVquVyO999/Hzt37qxRLfrW2NoXAJYuXYpt27bBxsYGx48fx7fffovff/8doiiiT58+8PPzq1EdxqriZwZU/XOr6mf2pJ/3o49na/rzNkZ1aeOqHDp0CJ9++ikA4P/+7/9gYWFRxyoNE4MdmaSFCxcCACIjI7FgwQLcunULWVlZ+OGHHzB8+HCYm5sDQKV351atWoUTJ05g3rx5CAgIaPC6DUlt21j8ZzEcpVKJn3/+Gf3794ejoyO8vLywYsUKvPnmmwCAefPmNeCnaXxq275yuRwTJ07EmDFjMHjwYFy6dAkFBQW4du0aZs6ciQ0bNqBLly44f/58Q38kolq7dOkShg0bBoVCgbfeegsjR47Ud0l6w2BHjVrFo6vq3kWpeN/IwcGhxtedOHEiIiIiIAgClixZgtatW6Np06YYNmwYXFxcVI9YmzZtqjonISEBH3/8MTp16oSPPvqoNh+nUWpMbfxoPd27d4evr2+l606fPh1A+aNGbR7R6Etja9///ve/2Lx5M15++WVs3boV/v7+sLGxQbt27bBy5UpMnToVmZmZePvtt7X9qEbj0UfmVf3cqvqZPenn/ej7kdr8vI1NXdr4cVevXkWfPn2QnZ2NCRMm4PPPP6+/Qg0Qgx01aq1btwYAZGdnq3XdP6riZfqKY2tqwYIFuHbtGj755BO8+eabmDVrFnbs2IGYmBhVr9GjvXK//PILiouLUVBQgLCwMPTs2VP1NWLECACAQqFQbTtw4ICWn1Y/GlMbA1CNhK1qROyj21NTU7WqRx8aW/t+/fXXAFBlj0bFCMUTJ06gpKREq3qMhaenp+rXKSkpGo+p6mdW8f2TzhMEQe0+pqYubfyoa9euoXfv3khLS8O4cePw1VdfQRCEeq3V0Bj+C0Jk1Nq3bw8bGxsUFhbi7Nmz6NWrV6Vjzp49CwAIDg7W+vpeXl6YPXt2pe3Hjx8HAISFhVXal5iYqBrNpckff/wBAAgPD9e6Hn1obG0cEhKCM2fOID09XeP1Ht2uaTqJxqaxtW/FX6JV9YLIZDIA5Y/Cs7Oz0bx5c61rMnQODg7w9vZGYmIizp49q/G1i6p+ZsHBwYiNjVXtr+q8du3aGcTvX12pSxtXuH79Onr16oXU1FSMGTMGmzdvNuipp+oLW4AaNQsLC7zyyisAyqdneNytW7fw119/AQBeffXVernnyZMnceLECXh4eGDQoEGq7e+88w7E8km9K31VPBKUSqWqbYYS7BpTGwPAsGHDVMdoekRz8OBBAOWhzhCmmmls7evu7g4AOHXqVJXnAuWPykx5LruKn4Wmn1l+fj6io6MBAK+99prG83766SeNv38rrvf4eaaotm0MlM9O0KtXL9y7dw9jxozBli1bGOr+wVagRm/u3LkQBAGbN29We7xZWFiISZMmQaFQYMiQIfDx8VE77/Tp0/Dx8am0HQCysrJUowYfdfLkSQwZMgSCIGD9+vVGMeq1JhpTG/fu3Rvdu3dHWloaZs6cqfY48OLFi6pBE9OmTVMNEGjsGlP7Dh06FACwcuVKHD16VG3f+fPnMX/+fADA66+/DqlUWqvPayj27NkDHx8fvPDCC5X2vfPOO7CxscGhQ4fURh4rFApMnz4d2dnZ6NKlC1588UW18/r164egoCBkZ2dj+vTpUCgUqn3r16/H4cOHYWdnZzLvMOqijZOTk9GrVy/cvXsXY8eOZah7XEMvdUGmLSYmRnz66adVX87OziIAsWXLlmrb7927p3beowuo9+zZU3z99ddFNzc31XqimhZQ//3331VLyzzu3LlzIgCxQ4cO4oABA8QRI0ao1nc0NzcXN23apNXnSk5ObjRLihlDG6ekpIitW7dWrYU6ePBgsUePHqKFhYUIQAwLCxOLi4vr3li1YOjtm5ubq1qQHo8svN6tWzdRKpWKAMSAgIBK63A2lNq0771799T2Vax326xZM7XtMTExavfavHmzCED09PTUWMv//vc/VZs8/fTT4vDhw5+4QL0oiuLVq1fFZs2aiQBELy8vcfjw4WLXrl1F/LNw/e7du+utvWrD0Nu44ve5paWlOHbsWHH8+PEav0x1STEGO2pQj/5FVd1XcnJypXMPHjwo9u3bV2zatKloaWkptmvXTvzoo4/E3NzcJ97rcWlpaeIbb7wh+vn5iQ4ODqKlpaXYpk0bccqUKeLVq1e1/lyNKdgZSxtnZ2eLc+fOFZ966inR0tJStS5vVFSUXhf3Nob2LSkpET///HPxueeeE5s0aSJKpVLRwcFBDA0NFT/55BOxsLCwVm1TH2rTvhX//z3p6/fff1e715NChyiK4tmzZ8XXXntNbNasmWhhYSF6enqKM2bMEO/fv1/t50hNTRVnzJghenp6ihYWFmKzZs3E1157rVLw0QdDb2NPT88a1aJpHWVTIIjiP0OniIiIiMig8aE0ERERkZFgsCMiIiIyEgx2REREREaCwY6IiIjISDDYERERERkJBjsiIiIiI8FgR0RERGQkGOyIiIiIjASDHREREZGRYLAjIiIiMhIMdkREWvr6668hCAIOHjyIjz/+GO7u7rC1tcVLL72ElJQUAEBkZCS8vb1hZWWFLl264Ny5c2rXuHfvHt5991107NgRDg4OsLGxQZcuXbBz50614+RyObp06QJnZ2fcu3dPbd+UKVMgkUhw5MgR3X5gIjIYDHZERLU0Z84cHD16FHPmzMFbb72FI0eO4NVXX8V//vMfrF+/HtOnT8e8efNw9epVvPbaaygrK1Ode/HiRezfvx+vvPIKPvnkE0RERKC0tBSjRo3Cli1bVMeZm5tj+/btKC4uxrhx41CxvPfevXvx1Vdf4YMPPkDv3r21qrt169YQBEHta+/evfXSJhXeeeedSvcIDw+v13sQUWVm+i6AiEgfPD09Vb1rjxIEAXZ2dvDy8kK/fv3w/vvvw9nZWeM1LC0tcezYMUilUgCAQqHAp59+iqysLFy+fBnW1tYAgCZNmmDmzJn47bff8PLLLwMAnn/+eSQkJEAQBNX13nrrLQQFBWHZsmUYP368avtTTz2FlStXYurUqfj0008xevRoTJ48GSEhIVi6dGmt28DBwUFVo5WVldq+CRMm4Ouvv67Vdbt27YqXXnoJzZs3BwDk5OSguLi41nUSUc2xx46ITE56eroq1DVp0gTNmzdXfVlbWyMvLw8XLlzAihUr0KVLF2RlZWm8zpQpU1ShDgCeffZZAMDYsWNVgenR7UlJSapt1tbWqlBXXFyMjIwM5Ofno2fPnrh27Rpyc3Mr3Wvw4MGYN28eBg4ciKKiImzfvh3m5ua1bofPP/8c9+/fx/3799G3b1+1fTdv3lRrl4ovOzs71TGa9jdv3hw9e/bE4sWLVdcePnx4rWskIu2wx46ITE5sbKzq13/99Rd8fHzU9qekpOD999/HDz/8gJs3b2Ljxo2YPXt2pet4enqqfe/o6AgAaNWqlcbtmZmZqm2lpaVYunQpvvnmG9y6davStbOzs+Hg4KC27auvvoK3tzdiYmKwZs0atG/f/skftpZ+//13jdunTp2KDRs2wMPDQ2OPJxHpF3vsiMjkxMTEAABkMpnGcNSqVSusX79e9f3169c1XufR3rqabK94Pw4ofwdtyZIl6NGjB7Zt24YDBw7g4MGDGDVqFABAqVRWOv/PP/9EdnY2gPJ39PShIhQHBwfr5f5EVD322BGRyakIJyEhIWrvuD3Kzs4OUqkUCoUCLi4u9V7Dzp070bNnT3zzzTdq2zdt2qTx+Pv372PSpEno1KkTnnvuOXz55Zd4+eWXMWDAgHqvrSplZWWIi4sDwGBH1Fgx2BGRyanosevSpUuVx+zYsQMKhQKCIGDo0KH1XoNUKq3UK3f9+nXs2bOn0rGiKCI8PBz5+fnYsWMH2rZti+PHj2PSpEm4dOmSapCCrl2+fBklJSUAgKCgoAa5JxFph49iicikZGVlITk5GUDlYCeKIlJSUjB//ny88cYbkEgk+O9//4tOnTrVex2DBw/GsWPHMHr0aGzYsAHz5s3D008/jQ4dOlQ69vPPP8evv/6KTz75BL6+vrC0tMSOHTuQl5eHCRMm1HttVXn03UT22BE1TuyxIyKT8mg4mTp1KmbMmKH6Pjs7GyUlJbCyskLfvn3x1ltv4YUXXtBJHatWrYK1tTV2796N3bt3w8fHB1FRUbhy5YraZMaXLl3C3Llz0a9fP8ycOVO13c/PD59++ilmzpyJyMhIvPXWWzqp81EVdbm4uMDd3V3n9yMi7THYEZFJeTTYPTpK9VElJSXIy8uDm5ubxv3h4eEaJ9vt2bOn2gCJCq1bt6603c7ODpGRkYiMjKx0/KJFi1S/DggIqHIOuBkzZqgFU12raDs+hiVqvPgolohMSkU4eeGFFyCKotpXWloa9u3bBx8fHxw5cgTPPfcc0tLS9Fxx46BUKnHhwgUAfAxL1Jgx2BGRSakYOKHpvblmzZrhlVdewffffw+g/H28R6c9MWXXrl1Dfn4+AAY7osaMwY6ITEZubi4SExMBaA52Ffz8/ODk5AQAuHLlSoPU1tg9+t4fgx1R48VgR0Qm49y5c6p33Z400tXMrPIryI8val/VV8+ePXH06NFqjykrK9PJZ9SVikfYMpkMbdq00XM1RFQVDp4gIpNREU7Mzc01TitSISUlBQ8ePAAAteO2bt2qdtyRI0ewefNm/Otf/1I77tF55SZMmIDevXtXukdVq1M0Vo8OnKhqUmci0j8GOyIyGRXv1/n4+MDCwqLK4/71r38BKO+1e3QB+zFjxqgdl5+fj82bNyMsLAw9e/ZU23f06FEAQNeuXSudZ4jOnz8PgI9hiRo7PoolIpNR0euk6TGsUqnEmTNn8Oqrr2L79u0AyqcdadeuXYPW2BjdvHlTNTUMpzohatzYY0dEJqGgoAAJCQkAgD179sDV1VW1T6lUIicnB6WlpQAAKysrLF26FO+//3693Dc9PV1tm62tLaytret87YbCFSeIDAeDHRGZhPPnz6vWZi0oKEBBQYFqn7m5OZo0aYIOHTrghRdewIQJE9CyZct6ue/s2bMxe/ZstW3Lly/H3Llz6+X6DaFiRKyNjQ18fHz0XA0RVYfBjohMwrPPPqtxVQhde/vtt9G/f3+1bYb2eHfJkiVYsmSJvssgohpgsCMi0iEfHx/06dNH32UQkYng4AkiIhM1YcIE1bx6e/furddrv/POO6prb9mypV6vTURVY48dEZGJadasGYqLi9W2WVlZ1es9HBwc1ObzA8onNyYi3WKwIyIyMWfOnNH5PRYvXozFixfr/D5EpI6PYomIiIiMBIMdERERkZEQRH2M/yciIiKiesceOyIiIiIjwWBHREREZCQY7IiIiIiMBIMdERERkZFgsCMiIiIyEgx2REREREaCwY6IiIjISDDYERERERkJBjsiIiIiI8FgR0RERGQkGOyIiIiIjASDHREREZGR+H9rL60JiWAGBgAAAABJRU5ErkJggg==",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
-      "image/png": "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",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     },
     {
      "data": {
       "text/plain": [
-       "<Figure size 432x288 with 0 Axes>"
+       "<Figure size 640x480 with 0 Axes>"
       ]
      },
      "metadata": {},
@@ -308,7 +320,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.10"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,
diff --git a/examples/scan.py b/examples/scan.py
index 61b4ac4b72..45e2db6aa2 100644
--- a/examples/scan.py
+++ b/examples/scan.py
@@ -5,7 +5,7 @@
 #
 # ## Scan details
 #
-# The input file is a scan-enabled version of the baseline 2018 `IN.DAT`, as found in the `tracking` directory. The scan-relevant values are:
+# The input file is a scan-enabled version of the large tokamak `IN.DAT`, as found in the `tests` directory. The scan-relevant values are:
 # ```
 # nsweep = 17 * bmxlim, maximum peak toroidal field (T) (`constraint equation 25`)
 # isweep = 11
@@ -21,12 +21,12 @@
 from pathlib import Path
 from process.io import plot_scans
 
-prefix = "a_scan_input_file"
+prefix = "a_scan_input_file_"
 input_name = Path(prefix + "IN.DAT")
 
 # Perform a SingleRun on a scan-enabled input file
 single_run = SingleRun(str(input_name))
-
+single_run.run()
 
 # %% [markdown]
 # ## Plot scan results
diff --git a/process/io/mfile_to_csv_vars.json b/process/io/mfile_to_csv_vars.json
index 42c6280f1a..9e2a740e3f 100644
--- a/process/io/mfile_to_csv_vars.json
+++ b/process/io/mfile_to_csv_vars.json
@@ -1,27 +1,23 @@
 {
   "vars": [
-   "etacd",
-   "effcd",
-   "gamcd",
-   "pnetelmw",
-   "capcost",
-   "step2001",
-   "step2115",
-   "step2116",
-   "step2117",
-   "step2198",
-   "step2199",
-   "q0",
-   "q95",
-   "qstar",
-   "beta",
-   "betap",
-   "betaft",
-   "betanb",
-   "gammaft",
-   "eps*betap",
-   "epbetmax",
-   "dnbeta",
-   "etath"
+   "minmax",
+   "pinjalw",
+   "pnetelin",
+   "ripmax",
+   "tbrnmn",
+   "alstroh",
+   "sig_tf_wp_max",
+   "thwcndut",
+   "fcohbop",
+   "alstroh",
+   "rmajor",
+   "tfcth",
+   "ohcth",
+   "cpttf",
+   "dr_tf_wp",
+   "ddwex",
+   "shldoth",
+   "divfix",
+   "rmajor"
   ]
-}
+}
diff --git a/process/io/plot_scans.py b/process/io/plot_scans.py
index 5aacce39e7..24a3725c7c 100644
--- a/process/io/plot_scans.py
+++ b/process/io/plot_scans.py
@@ -254,6 +254,7 @@ def main(args=None):
     labels["zeff"] = r"$Z_{\mathrm{eff}}$"
     labels["tburn"] = r"$t_{\mathrm{burn}}$[$s$]"
     labels["vburn"] = r"$V_{\mathrm{loop}}$ [$V$]"
+    labels["sig_tf_wp_max"] = r"$\sigma_{TP,wp}^{max}$"
     labels["rli"] = r"$l_i$"
     labels["n_cycle_min"] = r"$MinCycles_{\mathrm{Stress.min}}^{\mathrm{CS}}$"
     labels["n_cycle"] = r"$Cycles_{\mathrm{Stress}}^{\mathrm{CS}}$"
diff --git a/process/main.py b/process/main.py
index 5d904f0a8f..44bca33fe7 100644
--- a/process/main.py
+++ b/process/main.py
@@ -343,8 +343,10 @@ def __init__(self, input_file, solver="vmcon"):
         :type solver: str, optional
         """
         self.input_file = input_file
+
         self.validate_input()
         self.init_module_vars()
+        self.set_filenames()
         self.models = Models()
         self.solver = solver
 
diff --git a/tests/integration/test_examples.py b/tests/integration/test_examples.py
index 86f030668e..e1f9d9860f 100644
--- a/tests/integration/test_examples.py
+++ b/tests/integration/test_examples.py
@@ -6,6 +6,8 @@
 import os
 from pathlib import Path
 import pytest
+import pandas
+import numpy as np
 
 # TODO How to reliably run examples/examples.py script? Relies on relative path
 # from project root dir and pytest having project root dir as cwd. Could this be
@@ -49,7 +51,6 @@ def delete_plot_procs():
     plot_proc_2.unlink(missing_ok=True)
 
 
-@pytest.mark.skip("Needs a new input file to scan.")
 def test_examples(examples_as_cwd, delete_plot_procs):
     """Run the examples.py script and check no exceptions are raised.
 
@@ -71,13 +72,12 @@ def scan_cleanup(examples_as_cwd):
     yield
 
     # Teardown: delete produced files
-    scan_files = Path.cwd().glob("*_scan_*")
+    scan_files = Path.cwd().glob("*scan_*")
     for file in scan_files:
         if "IN.DAT" not in file.name:
             os.remove(file)
 
 
-@pytest.mark.skip("Needs a new input file to scan.")
 def test_scan(scan_cleanup):
     """Run the scan.py script and check no exceptions are raised.
 
@@ -88,3 +88,50 @@ def test_scan(scan_cleanup):
     """
     # Run entire scan.py script
     runpy.run_path("scan.py")
+
+
+@pytest.fixture
+def csv_cleanup(examples_as_cwd):
+    """Delete any files produced by csv_output.py.
+
+    :param examples_as_cwd: fixture to set examples dir as cwd
+    :type examples_as_cwd: None
+    """
+    yield
+
+    # Teardown: delete produced files
+    csv_files = Path.cwd().glob("*csv_output_*")
+    for file in csv_files:
+        if "_MFILE.DAT" not in file.name:
+            os.remove(file)
+
+
+def test_csv(csv_cleanup):
+    """Run the csv_output.py script, check no exceptions are raised, check a csv file exists and check the csv file contains data.
+
+    csv_output.py intentionally produces files when running the notebook, but remove
+    them when testing.
+    :param csv_cleanup: fixture to delete any produced files
+    :type csv_cleanup: None
+    """
+    # Run entire scan.py script
+    runpy.run_path("csv_output.py")
+
+    # Check csv file is created
+    assert os.path.exists("csv_output_large_tokamak_MFILE.csv")
+
+    # Read in the csv file created by test and check it contains positive floats
+    readcsv = pandas.read_csv("csv_output_large_tokamak_MFILE.csv")
+    values = readcsv["Value"]
+    value_array = np.array(values)
+    check_float = False
+    check_positive = False
+    value_array_type = value_array.dtype
+    if value_array_type.kind == "f":
+        check_float = True
+    assert check_float
+
+    check_positive_count = np.sum(value_array > 0)
+    if check_positive_count == len(value_array):
+        check_positive = True
+    assert check_positive