TYP: Fix mypy errors with type ignores

Author: zacharym-collins

pandas/core/indexes/datetimes.py

@@ -689,7 +689,9 @@ def __new__(
         if isinstance(data, (ExtensionArray, np.ndarray)):
             # GH 63388
             if copy is not False:
-                if dtype is None or astype_is_view(data.dtype, dtype):
+                if dtype is None or astype_is_view(
+                    data.dtype, dtype # type: ignore[arg-type]
+                ): 
                     data = data.copy()
                     copy = False
 
@@ -708,7 +710,7 @@ def __new__(
         dtarr = DatetimeArray._from_sequence_not_strict(
             data,
             dtype=dtype,
-            copy=copy,
+            copy=bool(copy),
             tz=tz,
             freq=freq,
             dayfirst=dayfirst,

pandas/core/indexes/interval.py

@@ -268,15 +268,17 @@ def __new__(
         if isinstance(data, (ExtensionArray, np.ndarray)):
             # GH#63388
             if copy is not False:
-                if dtype is None or astype_is_view(data.dtype, dtype):
+                if dtype is None or astype_is_view(
+                    data.dtype, dtype # type: ignore[arg-type]
+                ):
                     data = data.copy()
                     copy = False
 
         with rewrite_exception("IntervalArray", cls.__name__):
             array = IntervalArray(
                 data,
                 closed=closed,
-                copy=copy,
+                copy=bool(copy),
                 dtype=dtype,
                 verify_integrity=verify_integrity,
             )

pandas/core/indexes/period.py

@@ -241,7 +241,9 @@ def __new__(
         if isinstance(data, (ExtensionArray, np.ndarray)):
             # GH 63388
             if copy is not False:
-                if dtype is None or astype_is_view(data.dtype, dtype):
+                if dtype is None or astype_is_view(
+                    data.dtype, dtype # type: ignore[arg-type]
+                ):
                     data = data.copy()
                     copy = False