Fix type-hints

Author: rhshadrach

pandas/compat/numpy/__init__.py

@@ -36,8 +36,8 @@
                 r".*In the future `np\.long` will be defined as.*",
                 FutureWarning,
             )
-            np_long = np.long  # type: ignore[attr-defined]
-            np_ulong = np.ulong  # type: ignore[attr-defined]
+            np_long = np.long
+            np_ulong = np.ulong
     except AttributeError:
         np_long = np.int_
         np_ulong = np.uint

pandas/core/common.py

@@ -246,7 +246,8 @@ def asarray_tuplesafe(values: Iterable, dtype: NpDtype | None = None) -> ArrayLi
         with warnings.catch_warnings():
             # Can remove warning filter once NumPy 1.24 is min version
             if not np_version_gte1p24:
-                warnings.simplefilter("ignore", np.VisibleDeprecationWarning)
+                # np.VisibleDeprecationWarning only in np.exceptions in 2.0
+                warnings.simplefilter("ignore", np.VisibleDeprecationWarning)  # type: ignore[attr-defined]
             result = np.asarray(values, dtype=dtype)
     except ValueError:
         # Using try/except since it's more performant than checking is_list_like

pandas/core/internals/managers.py

@@ -572,7 +572,12 @@ def setitem(self, indexer, value) -> Self:
                         0, blk_loc, values
                     )
                     # first block equals values
-                    self.blocks[0].setitem((indexer[0], np.arange(len(blk_loc))), value)
+                    col_indexer: slice | np.ndarray
+                    if isinstance(indexer[1], slice) and indexer[1] == slice(None):
+                        col_indexer = slice(None)
+                    else:
+                        col_indexer = np.arange(len(blk_loc))
+                    self.blocks[0].setitem((indexer[0], col_indexer), value)
                     return self
             # No need to split if we either set all columns or on a single block
             # manager

pandas/tests/extension/date/array.py

@@ -113,7 +113,7 @@ def __init__(
 
             # error: "object_" object is not iterable
             obj = np.char.split(dates, sep="-")
-            for (i,), (y, m, d) in np.ndenumerate(obj):  # type: ignore[misc]
+            for (i,), (y, m, d) in np.ndenumerate(obj):
                 self._year[i] = int(y)
                 self._month[i] = int(m)
                 self._day[i] = int(d)