Fixed formatting

patch generated by https://gitlab.cern.ch/lhcb/MooreAnalysis/-/jobs/34590011

HltEfficiencyChecker/scripts/hlt_line_efficiencies.py

@@ -117,7 +117,12 @@ def get_parser():
         help=
         'For plots where more than 1 denom is shown, specify the denom cut to apply on the shape histogram shown in the background of the plot. For plots with 1 denom only, that denom is used'
     )
-    parser.add_argument('--group-denoms', action='store_true', help="For plotting all denoms on a single plot for each line/group. Individual plots will be created per denom if this flag is not passed.")
+    parser.add_argument(
+        '--group-denoms',
+        action='store_true',
+        help=
+        "For plotting all denoms on a single plot for each line/group. Individual plots will be created per denom if this flag is not passed."
+    )
     parser.add_argument(
         '--nbins', type=int, default=20, help="Number of efficiency bins.")
     parser.add_argument(
@@ -401,9 +406,11 @@ def main():
     denom_ptrs = {key: rdf.Filter(cut).Count() for key, cut in denoms.items()}
     line_numer_ptrs = {
         key: [
-                rdf.Filter(' && '.join(filter(None, [cut, dec]))).Count() for dec in decisions
-        ] for key, cut in denoms.items()
-    } # Dictionary of lists of RResultPtr to numerator values for line efficiencies
+            rdf.Filter(' && '.join(filter(None, [cut, dec]))).Count()
+            for dec in decisions
+        ]
+        for key, cut in denoms.items()
+    }  # Dictionary of lists of RResultPtr to numerator values for line efficiencies
 
     ptrs_lists = list(denom_ptrs.values()) + [
         item for ptr_list in line_numer_ptrs.values() for item in ptr_list
@@ -411,9 +418,11 @@ def main():
     if args.effs_groups:
         group_numer_ptrs = {
             key: [
-                rdf.Filter(f"({cut}) && ({' || '.join(filter(None, group))})").Count() for group in groups.values()
-            ] for cut in denoms.values()
-        } # Dictionary of lists of RResultPtr to numerator values for group efficiencies
+                rdf.Filter(f"({cut}) && ({' || '.join(filter(None, group))})").
+                Count() for group in groups.values()
+            ]
+            for cut in denoms.values()
+        }  # Dictionary of lists of RResultPtr to numerator values for group efficiencies
         ptrs_lists += [
             item for ptr_list in group_numer_ptrs.values() for item in ptr_list
         ]
@@ -440,7 +449,8 @@ def main():
         )
         print('-' * 84)
 
-        for line_name, line_numer_ptr in zip(decisions, line_numer_ptrs[denom]):
+        for line_name, line_numer_ptr in zip(decisions,
+                                             line_numer_ptrs[denom]):
             eff = line_numer_ptr.GetValue() / denom_evts
             integrated_efficiencies[denom][line_name] = eff
             eff_bin_err = ROOT.TMath.Sqrt(eff * (1.0 - eff) / denom_evts)
@@ -451,13 +461,14 @@ def main():
 
         if args.effs_groups:
             for group_name, group_numer_ptr in zip(groups.keys(),
-                                             group_numer_ptrs[denom]):
+                                                   group_numer_ptrs[denom]):
                 print('-' * 84)
                 incl_group_eff = group_numer_ptr.GetValue() / denom_evts
                 integrated_efficiencies[denom][group_name] = incl_group_eff
                 incl_group_eff_err = ROOT.TMath.Sqrt(
                     incl_group_eff * (1.0 - incl_group_eff) / denom_evts)
-                integrated_efficiencies_err[denom][group_name] = incl_group_eff_err
+                integrated_efficiencies_err[denom][
+                    group_name] = incl_group_eff_err
 
             print('Efficiencies grouped by common physics: ')
             for group_name, decs_in_group in groups.items():
@@ -633,8 +644,8 @@ def main():
             draw_var, shape_hist_denom, xmin, xmax)
 
     ROOT.RDF.RunGraphs(
-        list(pass_hists_ptrs.values()) + list(total_hists_ptrs.values())
-        + list(distr_ptrs.values()) + list(plot_evts_ptrs.values())
+        list(pass_hists_ptrs.values()) + list(total_hists_ptrs.values()) +
+        list(distr_ptrs.values()) + list(plot_evts_ptrs.values())
     )  # Run event loop to fill all numerator/denominator histograms
     for var in plot_vars:
 

HltEfficiencyChecker/scripts/hlt_overlap_tool.py

@@ -203,9 +203,8 @@ def calculate_intersect(rdf, linesets, depth_limit=8, exclusive=False):
                 if i in combination or exclusive:
                     dec_string += f"({get_OR_dec(list_of_lines)}) && "
             intersect_dict[counter] = {
-                "combination" : combination,
-                "ptr": rdf.Filter(
-                dec_string.rsplit(" && ", 1)[0]).Count()
+                "combination": combination,
+                "ptr": rdf.Filter(dec_string.rsplit(" && ", 1)[0]).Count()
             }
             counter += 1
         comb_depth += 1
@@ -214,7 +213,10 @@ def calculate_intersect(rdf, linesets, depth_limit=8, exclusive=False):
 
     intersects = []
     for item in intersect_dict.values():
-        intersect = {key: i in item["combination"] for i, key in enumerate(linesets.keys())}
+        intersect = {
+            key: i in item["combination"]
+            for i, key in enumerate(linesets.keys())
+        }
         intersect["count"] = item["ptr"].GetValue()
         intersects.append(intersect)
     df = pd.DataFrame.from_dict(intersects)