don't do from_: scale_variation_theories

n3fit/runcards/examples/Fit_with_theory_covmat.yml

@@ -28,8 +28,8 @@ theory:
   theoryid: 708        # database id
 theorycovmatconfig:
   point_prescription: "9 point"
-  theoryids:
-    from_: scale_variation_theories
+  # theoryids:
+  #   from_: scale_variation_theories
   pdf: NNPDF31_nlo_as_0118
   use_thcovmat_in_fitting: true
   use_thcovmat_in_sampling: true

validphys2/src/validphys/config.py

@@ -1628,7 +1628,7 @@ def produce_group_dataset_inputs_by_experiment(self, data_input):
     def produce_group_dataset_inputs_by_process(self, data_input):
         return self.produce_group_dataset_inputs_by_metadata(data_input, "nnpdf31_process")
 
-    def produce_scale_variation_theories(self, theoryid, point_prescription):
+    def produce_theoryids(self, theoryid, point_prescription):
         """Produces a list of theoryids given a theoryid at central scales and a point
         prescription. The options for the latter are '3 point', '5 point', '5bar point', '7 point'
         and '9 point'. Note that these are defined in arXiv:1906.10698. This hard codes the
@@ -1691,7 +1691,7 @@ def produce_scale_variation_theories(self, theoryid, point_prescription):
         # Check each theory is loaded
         theoryids = [self.loader.check_theoryID(thid) for thid in thids]
         # NSList needs to be used for theoryids to be recognised as a namespace
-        return {"theoryids": NSList(theoryids, nskey="theoryid")}
+        return NSList(theoryids, nskey="theoryid")
 
     @configparser.explicit_node
     def produce_filter_data(self, fakedata: bool = False, theorycovmatconfig=None):