CLN: suppress distutils warnings, assorted

pandas/core/array_algos/putmask.py

@@ -12,6 +12,7 @@
     ArrayLike,
     npt,
 )
+from pandas.compat import np_version_under1p20
 
 from pandas.core.dtypes.cast import (
     can_hold_element,
@@ -126,7 +127,8 @@ def putmask_without_repeat(
     mask : np.ndarray[bool]
     new : Any
     """
-    new = setitem_datetimelike_compat(values, mask.sum(), new)
+    if np_version_under1p20:
+        new = setitem_datetimelike_compat(values, mask.sum(), new)
 
     if getattr(new, "ndim", 0) >= 1:
         new = new.astype(values.dtype, copy=False)

pandas/core/arrays/_mixins.py

@@ -180,15 +180,15 @@ def _values_for_argsort(self) -> np.ndarray:
     def argmin(self, axis: int = 0, skipna: bool = True):  # type:ignore[override]
         # override base class by adding axis keyword
         validate_bool_kwarg(skipna, "skipna")
-        if not skipna and self.isna().any():
+        if not skipna and self._hasna:
             raise NotImplementedError
         return nargminmax(self, "argmin", axis=axis)
 
     # Signature of "argmax" incompatible with supertype "ExtensionArray"
     def argmax(self, axis: int = 0, skipna: bool = True):  # type:ignore[override]
         # override base class by adding axis keyword
         validate_bool_kwarg(skipna, "skipna")
-        if not skipna and self.isna().any():
+        if not skipna and self._hasna:
             raise NotImplementedError
         return nargminmax(self, "argmax", axis=axis)
 

pandas/core/arrays/datetimes.py

@@ -2289,7 +2289,6 @@ def maybe_convert_dtype(data, copy: bool):
         copy = False
 
     elif is_extension_array_dtype(data.dtype) and not is_datetime64tz_dtype(data.dtype):
-        # Includes categorical
         # TODO: We have no tests for these
         data = np.array(data, dtype=np.object_)
         copy = False

pandas/core/internals/blocks.py

@@ -367,14 +367,16 @@ def iget(self, i: int | tuple[int, int] | tuple[slice, int]):
         # "Union[int, integer[Any]]"
         return self.values[i]  # type: ignore[index]
 
-    def set_inplace(self, locs, values) -> None:
+    def set_inplace(self, locs, values: ArrayLike) -> None:
         """
         Modify block values in-place with new item value.
 
         Notes
         -----
-        `set` never creates a new array or new Block, whereas `setitem` _may_
-        create a new array and always creates a new Block.
+        `set_inplace` never creates a new array or new Block, whereas `setitem`
+        _may_ create a new array and always creates a new Block.
+
+        Caller is responsible for checking values.dtype == self.dtype.
         """
         self.values[locs] = values
 
@@ -1183,7 +1185,7 @@ def where(self, other, cond) -> list[Block]:
         icond, noop = validate_putmask(values, ~cond)
         if noop:
             # GH-39595: Always return a copy; short-circuit up/downcasting
-            return self.copy()
+            return [self.copy()]
 
         if other is lib.no_default:
             other = self.fill_value
@@ -1375,7 +1377,8 @@ def setitem(self, indexer, value):
 
         values = self.values
         if values.ndim == 2:
-            # TODO: string[pyarrow] tests break if we transpose unconditionally
+            # TODO(GH#45419): string[pyarrow] tests break if we transpose
+            #  unconditionally
             values = values.T
         check_setitem_lengths(indexer, value, values)
         values[indexer] = value
@@ -1396,7 +1399,7 @@ def where(self, other, cond) -> list[Block]:
         if noop:
             # GH#44181, GH#45135
             # Avoid a) raising for Interval/PeriodDtype and b) unnecessary object upcast
-            return self.copy()
+            return [self.copy()]
 
         try:
             res_values = arr._where(cond, other).T
@@ -1597,12 +1600,16 @@ def iget(self, i: int | tuple[int, int] | tuple[slice, int]):
                 raise IndexError(f"{self} only contains one item")
             return self.values
 
-    def set_inplace(self, locs, values) -> None:
+    def set_inplace(self, locs, values: ArrayLike) -> None:
         # NB: This is a misnomer, is supposed to be inplace but is not,
         #  see GH#33457
         # When an ndarray, we should have locs.tolist() == [0]
         # When a BlockPlacement we should have list(locs) == [0]
-        self.values = values
+
+        # error: Incompatible types in assignment (expression has type
+        # "Union[ExtensionArray, ndarray[Any, Any]]", variable has type
+        # "ExtensionArray")
+        self.values = values  # type: ignore[assignment]
         try:
             # TODO(GH33457) this can be removed
             self._cache.clear()

pandas/tests/computation/test_eval.py

@@ -797,7 +797,7 @@ def _is_datetime(x):
 
 
 def should_warn(*args):
-    not_mono = not any(map(operator.attrgetter("is_monotonic"), args))
+    not_mono = not any(map(operator.attrgetter("is_monotonic_increasing"), args))
     only_one_dt = reduce(operator.xor, map(_is_datetime, args))
     return not_mono and only_one_dt
 

pandas/tests/io/parser/test_unsupported.py

@@ -166,7 +166,7 @@ def test_on_bad_lines_callable_python_only(self, all_parsers):
             parser.read_csv(sio, on_bad_lines=bad_lines_func)
 
 
-def test_close_file_handle_on_invalide_usecols(all_parsers):
+def test_close_file_handle_on_invalid_usecols(all_parsers):
     # GH 45384
     parser = all_parsers
 

pandas/util/_test_decorators.py

@@ -80,6 +80,12 @@ def safe_import(mod_name: str, min_version: str | None = None):
             message=".*Int64Index.*",
         )
 
+        warnings.filterwarnings(
+            "ignore",
+            category=DeprecationWarning,
+            message="distutils Version classes are deprecated.*",
+        )
+
         try:
             mod = __import__(mod_name)
         except ImportError: