Fast architecture schemes

.gitignore

@@ -2,7 +2,6 @@
 *.csv
 *.png
 *.pickle
-*.html
 
 # Byte-compiled / optimized / DLL files
 __pycache__/

hypex/reporters/aa.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import contextlib
 from typing import Any, ClassVar
 
 from ..comparators import Chi2Test, GroupDifference, GroupSizes, KSTest, TTest
@@ -29,10 +30,8 @@ def convert_flat_dataset(data: dict) -> Dataset:
     @staticmethod
     def get_splitter_id(data: ExperimentData):
         for c in [AASplitter, AASplitterWithStratification]:
-            try:
+            with contextlib.suppress(NotFoundInExperimentDataError):
                 return data.get_one_id(c, ExperimentDataEnum.additional_fields)
-            except NotFoundInExperimentDataError:
-                pass  # The splitting was done by another class
 
     def extract_group_difference(self, data: ExperimentData) -> dict[str, Any]:
         group_difference_ids = data.get_ids(GroupDifference)[GroupDifference.__name__][

hypex/reporters/matching.py

@@ -79,8 +79,7 @@ def report(self, data: ExperimentData):
         self.front = False
         dict_report = super().report(data)
         self.front = front_buffer
-        result = self.convert_flat_dataset(dict_report)
-        return result
+        return self.convert_flat_dataset(dict_report)
 
 
 class MatchingDatasetReporter(DatasetReporter):