Restore needed thcovmat functions

doc/sphinx/source/vp/theorycov/examples.rst

@@ -154,38 +154,6 @@ a comprehensive set of plots and tables describing the covariance matrices.
       {@plot_diag_cov_comparison@}
    {@endwith@}
 
-   Experimental $\chi^2$
-   ---------------------
-   {@with default_theory@}
-      {@total_experiments_chi2@}
-
-   Total (exp. + th.) $\chi^2$
-   ---------------------------
-      {@chi2_impact_custom@}
-
-   Experimental $\chi^2$ by dataset
-   --------------------------------
-      {@experiments_chi2_table@}
-
-   Total (exp. + th.) $\chi^2$ by dataset
-   --------------------------------------
-      {@experiments_chi2_table_theory@}
-
-   $\chi^2$ including only diagonal theory elements
-   ------------------------------------------------
-      {@chi2_diag_only@}
-
-   Impact of theory covariance matrix on $\chi^2$s 
-   -----------------------------------------------
-      {@plot_datasets_chi2_theory@}
-   {@endwith@}
-
-   Scale variations as a function of the kinematics
-   ------------------------------------------------
-   {@with matched_datasets_from_dataspecs@}
-      [Plots for {@dataset_name@}]({@dataset_report report@})
-   {@endwith@}
-
 
 Validation report
 ----------------- 

validphys2/examples/theory_covariance/template_matrix_plots.md

@@ -17,36 +17,4 @@ Diagonal elements of covariance matrices
 ----------------------------------------
 {@with default_theory@}
    {@plot_diag_cov_comparison@}
-{@endwith@}
-
-Experimental $\chi^2$
----------------------
-{@with default_theory@}
-   {@total_chi2_per_point_data@}
-
-Total (exp. + th.) $\chi^2$
----------------------------
-   {@chi2_impact_custom@}
-
-Experimental $\chi^2$ by dataset
---------------------------------
-   {@procs_chi2_table@}
-
-Total (exp. + th.) $\chi^2$ by dataset
---------------------------------------
-   {@procs_chi2_table_theory@}
-
-$\chi^2$ including only diagonal theory elements
-------------------------------------------------
-   {@chi2_diag_only@}
-
-Impact of theory covariance matrix on $\chi^2$s
------------------------------------------------
-   {@plot_datasets_chi2_theory@}
-{@endwith@}
-
-Scale variations as a function of the kinematics
-------------------------------------------------
-{@with matched_datasets_from_dataspecs@}
-   [Plots for {@dataset_name@}]({@dataset_report report@})
-{@endwith@}
+{@endwith@}

validphys2/src/validphys/config.py

@@ -909,20 +909,16 @@ def produce_theory_database(self):
         """Produces path to the theory.db file"""
         return self.loader.theorydb_file
 
-    def produce_combined_shift_and_theory_dataspecs(self, theoryconfig, shiftconfig):
-        total_dataspecs = theoryconfig["dataspecs"] + shiftconfig["dataspecs"]
-        matched_datasets = self.produce_matched_datasets_from_dataspecs(total_dataspecs)
+    def produce_combined_shift_and_theory_dataspecs(self, dataspecs):
+        matched_datasets = self.produce_matched_datasets_from_dataspecs(dataspecs)
         for ns in matched_datasets:
             ns["dataspecs"] = self.produce_dataspecs_with_matched_cuts(ns["dataspecs"])
-        new_theoryconfig = []
-        new_shiftconfig = []
-        len_th = len(theoryconfig["dataspecs"])
+        new_dataspecs = []
+        len_th = len(dataspecs)
         for s in matched_datasets:
-            new_theoryconfig.append(ChainMap({"dataspecs": s["dataspecs"][:len_th]}, s))
-            new_shiftconfig.append(ChainMap({"dataspecs": s["dataspecs"][len_th:]}, s))
+            new_dataspecs.append(ChainMap({"dataspecs": s["dataspecs"][len_th:]}, s))
         return {
-            "shiftconfig": {"dataspecs": new_shiftconfig, "original": shiftconfig},
-            "theoryconfig": {"dataspecs": new_theoryconfig, "original": theoryconfig},
+            "dataspecs": {"dataspecs": new_dataspecs, "original": dataspecs },
         }
 
     # TODO: Worth it to do some black magic to not pass params explicitly?