fixed some tests

Author: Pedro-Santos04

pandas/core/dtypes/dtypes.py

@@ -16,6 +16,7 @@
     TYPE_CHECKING,
     Any,
     cast,
+    List,
 )
 import warnings
 import zoneinfo
@@ -675,7 +676,7 @@ def _is_boolean(self) -> bool:
 
         return is_bool_dtype(self.categories)
 
-    def _get_common_dtype(self, dtypes: list[DtypeObj]) -> DtypeObj | None:
+    def _get_common_dtype(self, dtypes: List[DtypeObj]) -> DtypeObj | None:
         # check if we have all categorical dtype with identical categories
         if all(isinstance(x, CategoricalDtype) for x in dtypes):
             first = dtypes[0]
@@ -966,7 +967,7 @@ def __setstate__(self, state) -> None:
         self._tz = state["tz"]
         self._unit = state["unit"]
 
-    def _get_common_dtype(self, dtypes: list[DtypeObj]) -> DtypeObj | None:
+    def _get_common_dtype(self, dtypes: List[DtypeObj]) -> DtypeObj | None:
         if all(isinstance(t, DatetimeTZDtype) and t.tz == self.tz for t in dtypes):
             np_dtype = np.max([cast(DatetimeTZDtype, t).base for t in [self, *dtypes]])
             unit = np.datetime_data(np_dtype)[0]
@@ -1479,7 +1480,7 @@ def __from_arrow__(self, array: pa.Array | pa.ChunkedArray) -> IntervalArray:
             )
         return IntervalArray._concat_same_type(results)
 
-    def _get_common_dtype(self, dtypes: list[DtypeObj]) -> DtypeObj | None:
+    def _get_common_dtype(self, dtypes: List[DtypeObj]) -> DtypeObj | None:
         if not all(isinstance(x, IntervalDtype) for x in dtypes):
             return None
 
@@ -1677,7 +1678,7 @@ def from_numpy_dtype(cls, dtype: np.dtype) -> BaseMaskedDtype:
         else:
             raise NotImplementedError(dtype)
 
-    def _get_common_dtype(self, dtypes: list[DtypeObj]) -> DtypeObj | None:
+    def _get_common_dtype(self, dtypes: List[DtypeObj]) -> DtypeObj | None:
         # We unwrap any masked dtypes, find the common dtype we would use
         #  for that, then re-mask the result.
         from pandas.core.dtypes.cast import find_common_type
@@ -2104,7 +2105,7 @@ def _subtype_with_str(self):
             return type(self.fill_value)
         return self.subtype
 
-    def _get_common_dtype(self, dtypes: list[DtypeObj]) -> DtypeObj | None:
+    def _get_common_dtype(self, dtypes: List[DtypeObj]) -> DtypeObj | None:
         # TODO for now only handle SparseDtypes and numpy dtypes => extend
         # with other compatible extension dtypes
         from pandas.core.dtypes.cast import np_find_common_type
@@ -2419,7 +2420,7 @@ def _is_boolean(self) -> bool:
         """
         return pa.types.is_boolean(self.pyarrow_dtype)
 
-    def _get_common_dtype(self, dtypes: list[DtypeObj]) -> DtypeObj | None:
+    def _get_common_dtype(self, dtypes: List[DtypeObj]) -> DtypeObj | None:
         # We unwrap any masked dtypes, find the common dtype we would use
         #  for that, then re-mask the result.
         # Mirrors BaseMaskedDtype