STYL: replace autotyping with ruff's ANN autofixes (#54260)

* STYL: replace autotyping with ruff's ANN autofixes

* ignore vendored clipboard file from ruff

* comment to remove it in the future

* alias

Author: twoertwein

.libcst.codemod.yaml

@@ -25,6 +25,11 @@ repos:
     hooks:
     -   id: ruff
         args: [--exit-non-zero-on-fix]
+    -   id: ruff
+        # TODO: remove autofixe-only rules when they are checked by ruff
+        name: ruff-selected-autofixes
+        alias: ruff-selected-autofixes
+        args: [--select, "ANN001,ANN204", --fix-only, --exit-non-zero-on-fix]
 -   repo: https://github.com/jendrikseipp/vulture
     rev: 'v2.7'
     hooks:
@@ -371,17 +376,6 @@ repos:
             /(__init__\.py)|(api\.py)|(_version\.py)|(testing\.py)|(conftest\.py)$
             |/tests/
             |/_testing/
-    -   id: autotyping
-        name: autotyping
-        entry: python -m scripts.run_autotyping
-        types_or: [python, pyi]
-        files: ^pandas
-        exclude: ^(pandas/tests|pandas/_version.py|pandas/io/clipboard)
-        language: python
-        stages: [manual]
-        additional_dependencies:
-        - autotyping==23.3.0
-        - libcst==0.4.9
     -   id: check-test-naming
         name: check that test names start with 'test'
         entry: python -m scripts.check_test_naming

.pre-commit-config.yaml

@@ -575,7 +575,7 @@ def __array__(self, dtype: NpDtype | None = None) -> np.ndarray:
         out[self.sp_index.indices] = self.sp_values
         return out
 
-    def __setitem__(self, key, value):
+    def __setitem__(self, key, value) -> None:
         # I suppose we could allow setting of non-fill_value elements.
         # TODO(SparseArray.__setitem__): remove special cases in
         # ExtensionBlock.where

pandas/core/arrays/sparse/array.py

@@ -401,7 +401,7 @@ def _values_for_factorize(self):
         arr[mask] = None
         return arr, None
 
-    def __setitem__(self, key, value):
+    def __setitem__(self, key, value) -> None:
         value = extract_array(value, extract_numpy=True)
         if isinstance(value, type(self)):
             # extract_array doesn't extract NumpyExtensionArray subclasses

pandas/core/arrays/string_.py

@@ -4031,7 +4031,7 @@ def isetitem(self, loc, value) -> None:
         arraylike, refs = self._sanitize_column(value)
         self._iset_item_mgr(loc, arraylike, inplace=False, refs=refs)
 
-    def __setitem__(self, key, value):
+    def __setitem__(self, key, value) -> None:
         if not PYPY and using_copy_on_write():
             if sys.getrefcount(self) <= 3:
                 warnings.warn(

pandas/core/frame.py

@@ -5329,7 +5329,7 @@ def __contains__(self, key: Any) -> bool:
     __hash__: ClassVar[None]  # type: ignore[assignment]
 
     @final
-    def __setitem__(self, key, value):
+    def __setitem__(self, key, value) -> None:
         raise TypeError("Index does not support mutable operations")
 
     def __getitem__(self, key):

pandas/core/indexes/base.py

@@ -2486,7 +2486,7 @@ def __getitem__(self, key):
 
         return super().__getitem__(key)
 
-    def __setitem__(self, key, value):
+    def __setitem__(self, key, value) -> None:
         if self.ndim == 2 and not self._axes_are_unique:
             # GH#33041 fall back to .loc
             if not isinstance(key, tuple) or not all(is_scalar(x) for x in key):

pandas/core/indexing.py

@@ -148,7 +148,7 @@ def __getitem__(self, item: PositionalIndexer):
         else:
             raise NotImplementedError("only ints are supported as indexes")
 
-    def __setitem__(self, key: int | slice | np.ndarray, value: Any):
+    def __setitem__(self, key: int | slice | np.ndarray, value: Any) -> None:
         if not isinstance(key, int):
             raise NotImplementedError("only ints are supported as indexes")
 

pandas/tests/extension/date/array.py

@@ -190,7 +190,7 @@ def astype(self, dtype, copy=True):
 
         return super().astype(dtype, copy=copy)
 
-    def __setitem__(self, key, value):
+    def __setitem__(self, key, value) -> None:
         if is_list_like(value):
             if is_scalar(key):
                 raise ValueError("setting an array element with a sequence.")

pandas/tests/extension/decimal/array.py

@@ -117,7 +117,7 @@ def __getitem__(self, item):
             # integer
             return type(self)([self.data[i] for i in item])
 
-    def __setitem__(self, key, value):
+    def __setitem__(self, key, value) -> None:
         if isinstance(key, numbers.Integral):
             self.data[key] = value
         else:

pandas/tests/extension/json/array.py

@@ -349,6 +349,7 @@ exclude = [
   ".eggs/*.py",
   # vendored files
   "pandas/util/version/*",
+  "pandas/io/clipboard/__init__.py",
   # exclude asv benchmark environments from linting
   "env",
 ]