TYP: check_untyped_defs astype_nansafe (#30548)

Author: simonjayhawkins

pandas/core/arrays/boolean.py

@@ -524,7 +524,7 @@ def astype(self, dtype, copy=True):
             na_value = np.nan
         # coerce
         data = self._coerce_to_ndarray(na_value=na_value)
-        return astype_nansafe(data, dtype, copy=None)
+        return astype_nansafe(data, dtype, copy=False)
 
     def value_counts(self, dropna=True):
         """

pandas/core/arrays/integer.py

@@ -546,7 +546,7 @@ def astype(self, dtype, copy=True):
 
         # coerce
         data = self._coerce_to_ndarray()
-        return astype_nansafe(data, dtype, copy=None)
+        return astype_nansafe(data, dtype, copy=False)
 
     @property
     def _ndarray_values(self) -> np.ndarray:

setup.cfg

@@ -151,15 +151,9 @@ ignore_errors=True
 [mypy-pandas._version]
 check_untyped_defs=False
 
-[mypy-pandas.core.arrays.boolean]
-check_untyped_defs=False
-
 [mypy-pandas.core.arrays.categorical]
 check_untyped_defs=False
 
-[mypy-pandas.core.arrays.integer]
-check_untyped_defs=False
-
 [mypy-pandas.core.arrays.interval]
 check_untyped_defs=False