CLN: Remove typings/ directory

xirafa · Jul 28, 2026 · Jul 28, 2026 · Jul 28, 2026 · f4a98cb8e5a3f2ecd4ba927e9631f16ef8d3ddc8
commit f4a98cb8e5a3f2ecd4ba927e9631f16ef8d3ddc8
diff --git a/.gitattributes b/.gitattributes
@@ -70,7 +70,6 @@ MANIFEST.in export-ignore
 pixi.lock export-ignore
 pixi.toml export-ignore
 scripts/** export-ignore
-typings export-ignore
 web export-ignore
 CITATION.cff export-ignore
 codecov.yml export-ignore

diff --git a/pandas/core/_numba/executor.py b/pandas/core/_numba/executor.py
@@ -49,11 +49,11 @@ def nb_looper(values: np.ndarray, axis: int, *args: Any) -> np.ndarray:
 
         if axis == 1:
             buff[0] = res0
-            for i in numba.prange(1, values.shape[0]):
+            for i in numba.prange(1, values.shape[0]):  # type: ignore[no-untyped-call,attr-defined]
                 buff[i] = nb_compat_func(values[i], *args)
         else:
             buff[:, 0] = res0
-            for j in numba.prange(1, values.shape[1]):
+            for j in numba.prange(1, values.shape[1]):  # type: ignore[no-untyped-call,attr-defined]
                 buff[:, j] = nb_compat_func(values[:, j], *args)
         return buff
 
@@ -85,7 +85,7 @@ def column_looper(  # pyright: ignore[reportRedeclaration]
         ) -> tuple[np.ndarray, dict[int, np.ndarray]]:
             result = np.empty((values.shape[0], ngroups), dtype=result_dtype)
             na_positions = {}
-            for i in numba.prange(values.shape[0]):
+            for i in numba.prange(values.shape[0]):  # type: ignore[no-untyped-call,attr-defined]
                 output, na_pos = func(
                     values[i], result_dtype, labels, ngroups, min_periods, *args
                 )
@@ -97,12 +97,7 @@ def column_looper(  # pyright: ignore[reportRedeclaration]
     else:
 
         @numba.jit(nogil=nogil, parallel=parallel)
-        # error: Incompatible redefinition (redefinition with type
-        # "Callable[[ndarray[Any, Any], ndarray[Any, Any], ndarray[Any, Any],
-        # int, VarArg(Any)], tuple[ndarray[Any, Any], dict[int, ndarray[Any, Any]]]]",
-        # original type "Callable[[ndarray[Any, Any], ndarray[Any, Any], int, int,
-        # VarArg(Any)], tuple[ndarray[Any, Any], dict[int, ndarray[Any, Any]]]]")
-        def column_looper(  # type: ignore[misc]
+        def column_looper(
             values: np.ndarray,
             start: np.ndarray,
             end: np.ndarray,
@@ -111,7 +106,7 @@ def column_looper(  # type: ignore[misc]
         ) -> tuple[np.ndarray, dict[int, np.ndarray]]:
             result = np.empty((values.shape[0], len(start)), dtype=result_dtype)
             na_positions = {}
-            for i in numba.prange(values.shape[0]):
+            for i in numba.prange(values.shape[0]):  # type: ignore[no-untyped-call,attr-defined]
                 output, na_pos = func(
                     values[i], result_dtype, start, end, min_periods, *args
                 )

diff --git a/pandas/core/_numba/kernels/shared.py b/pandas/core/_numba/kernels/shared.py
@@ -9,8 +9,7 @@
 
 
 @numba.jit(
-    # error: Any? not callable
-    numba.boolean(numba.int64[:]),  # type: ignore[misc]
+    numba.boolean(numba.int64[:]),
     nogil=True,
     parallel=False,
 )

diff --git a/pandas/core/groupby/numba_.py b/pandas/core/groupby/numba_.py
@@ -110,9 +110,9 @@ def group_agg(
         num_groups = len(begin)
 
         result = np.empty((num_groups, num_columns))
-        for i in numba.prange(num_groups):
+        for i in numba.prange(num_groups):  # type: ignore[no-untyped-call,attr-defined]
             group_index = index[begin[i] : end[i]]
-            for j in numba.prange(num_columns):
+            for j in numba.prange(num_columns):  # type: ignore[no-untyped-call,attr-defined]
                 group = values[begin[i] : end[i], j]
                 result[i, j] = numba_func(group, group_index, *args)
         return result
@@ -167,9 +167,9 @@ def group_transform(
         num_groups = len(begin)
 
         result = np.empty((len(values), num_columns))
-        for i in numba.prange(num_groups):
+        for i in numba.prange(num_groups):  # type: ignore[no-untyped-call,attr-defined]
             group_index = index[begin[i] : end[i]]
-            for j in numba.prange(num_columns):
+            for j in numba.prange(num_columns):  # type: ignore[no-untyped-call,attr-defined]
                 group = values[begin[i] : end[i], j]
                 result[begin[i] : end[i], j] = numba_func(group, group_index, *args)
         return result

diff --git a/pandas/core/window/numba_.py b/pandas/core/window/numba_.py
@@ -61,7 +61,7 @@ def roll_apply(
         *args: Any,
     ) -> np.ndarray:
         result = np.empty(len(begin))
-        for i in numba.prange(len(result)):
+        for i in numba.prange(len(result)):  # type: ignore[attr-defined]
             start = begin[i]
             stop = end[i]
             window = values[start:stop]
@@ -122,7 +122,7 @@ def ewm(
         old_wt_factor = 1.0 - alpha
         new_wt = 1.0 if adjust else alpha
 
-        for i in numba.prange(len(begin)):
+        for i in numba.prange(len(begin)):  # type: ignore[attr-defined]
             start = begin[i]
             stop = end[i]
             window = values[start:stop]
@@ -217,7 +217,7 @@ def roll_table(
     ):
         result = np.empty((len(begin), values.shape[1]))
         min_periods_mask = np.empty(result.shape)
-        for i in numba.prange(len(result)):
+        for i in numba.prange(len(result)):  # type: ignore[attr-defined]
             start = begin[i]
             stop = end[i]
             window = values[start:stop]
@@ -249,7 +249,7 @@ def generate_manual_numpy_nan_agg_with_axis(nan_func):
     # on platforms without tbb/openmp (GH#40454).
     def nan_agg_with_axis(table):
         result = np.empty(table.shape[1])
-        for i in numba.prange(table.shape[1]):
+        for i in numba.prange(table.shape[1]):  # type: ignore[attr-defined]
             partition = table[:, i]
             result[i] = nan_func(partition)
         return result
@@ -312,7 +312,7 @@ def ewm_table(
             cur = values[i]
             is_observations = ~np.isnan(cur)
             nobs += is_observations.astype(np.int64)
-            for j in numba.prange(len(cur)):
+            for j in numba.prange(len(cur)):  # type: ignore[attr-defined]
                 if not np.isnan(weighted[j]):
                     if is_observations[j] or not ignore_na:
                         if normalize:

diff --git a/pandas/core/window/online.py b/pandas/core/window/online.py
@@ -63,7 +63,7 @@ def online_ewma(
             cur = values[i]
             is_observations = ~np.isnan(cur)
             nobs += is_observations.astype(np.int64)
-            for j in numba.prange(len(cur)):
+            for j in numba.prange(len(cur)):  # type: ignore[attr-defined, no-untyped-call]
                 if not np.isnan(weighted_avg[j]):
                     if is_observations[j] or not ignore_na:
                         # note that len(deltas) = len(vals) - 1 and deltas[i] is to be

diff --git a/pyproject.toml b/pyproject.toml
@@ -484,8 +484,7 @@ junit_family = "xunit2"
 
 [tool.mypy]
 # Import discovery
-mypy_path = "typings"
-files = ["pandas", "typings"]
+files = ["pandas"]
 namespace_packages = false
 explicit_package_bases = false
 ignore_missing_imports = true
@@ -668,7 +667,7 @@ skip = "pandas/__init__.py"
 pythonVersion = "3.11"
 typeCheckingMode = "basic"
 useLibraryCodeForTypes = false
-include = ["pandas", "typings"]
+include = ["pandas"]
 exclude = ["pandas/tests", "pandas/io/clipboard", "pandas/util/version", "pandas/core/_numba/extensions.py"]
 # enable subset of "strict"
 reportDuplicateImport = true

diff --git a/pyright_reportGeneralTypeIssues.json b/pyright_reportGeneralTypeIssues.json
@@ -16,7 +16,6 @@
     "include":
       [
         "pandas",
-        "typings"
       ],
     "exclude":
       [

diff --git a/scripts/tests/data/deps_minimum.toml b/scripts/tests/data/deps_minimum.toml
@@ -262,8 +262,7 @@ markers = [
 
 [tool.mypy]
 # Import discovery
-mypy_path = "typings"
-files = ["pandas", "typings"]
+files = ["pandas"]
 namespace_packages = false
 explicit_package_bases = false
 ignore_missing_imports = true
@@ -352,7 +351,7 @@ skip = "pandas/__init__.py"
 [tool.pyright]
 pythonVersion = "3.8"
 typeCheckingMode = "basic"
-include = ["pandas", "typings"]
+include = ["pandas"]
 exclude = ["pandas/tests", "pandas/io/clipboard", "pandas/util/version"]
 # enable subset of "strict"
 reportDuplicateImport = true