[pre-commit.ci] pre-commit autoupdate (#738)

* [pre-commit.ci] pre-commit autoupdate

updates:
- [github.com/astral-sh/ruff-pre-commit: v0.9.10 → v0.11.2](astral-sh/ruff-pre-commit@v0.9.10...v0.11.2)

* [pre-commit.ci] Add auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Ignore type error

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Amrit Krishnan <[email protected]>

Author: pre-commit-ci[bot]

.pre-commit-config.yaml

@@ -16,7 +16,7 @@ repos:
     - id: check-toml
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: 'v0.9.10'
+    rev: 'v0.11.2'
     hooks:
     - id: ruff
       args: [--fix, --exit-non-zero-on-fix]

cyclops/data/df/feature.py

@@ -676,7 +676,7 @@ def _ordinal_to_indicators(
         # Convert to binary categorical indicators
         return self._to_feature_types(
             data,
-            {feat: CATEGORICAL_INDICATOR for feat in features},
+            dict.fromkeys(features, CATEGORICAL_INDICATOR),
             inplace=False,
         )
 

cyclops/data/df/vectorized.py

@@ -248,7 +248,7 @@ def add_normalizer(
         self,
         axis: Union[str, int],
         normalization_method: Optional[str] = None,
-        normalizer_map: Optional[Dict[str, str]] = None,
+        normalizer_map: Optional[Dict[Any, str]] = None,
     ) -> None:
         """Add a normalizer.
 
@@ -284,12 +284,12 @@ def add_normalizer(
         index_map = self.index_maps[axis_index]
         if normalizer_map is None:
             # Use the same normalization method for all features
-            normalizer_map = {feat: normalization_method for feat in index_map}  # type: ignore
+            normalizer_map = dict.fromkeys(index_map, normalization_method)  # type: ignore
         else:
             missing = set(normalizer_map.keys()) - set(index_map.keys())
             if len(missing) != 0:
                 raise ValueError(f"Invalid index values {', '.join(missing)}.")
-        normalizer = VectorizedNormalizer(axis_index, normalizer_map)
+        normalizer = VectorizedNormalizer(axis_index, normalizer_map)  # type: ignore
         self.normalizer = normalizer
 
     def add_normalizer_direct(self, normalizer: VectorizedNormalizer) -> None:

cyclops/tasks/classification.py

@@ -531,7 +531,7 @@ def evaluate(
         missing_labels = [
             label for label in self.task_target if label not in dataset.column_names
         ]
-        if len(missing_labels):
+        if missing_labels:
 
             def add_missing_labels(examples: Dict[str, Any]) -> Dict[str, Any]:
                 for label in missing_labels: