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TYP: remove ignore from pandas/tseries/frequencies.py #52623

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20 changes: 10 additions & 10 deletions pandas/tseries/frequencies.py
Original file line number Diff line number Diff line change
@@ -1,6 +1,9 @@
from __future__ import annotations

from typing import TYPE_CHECKING
from typing import (
TYPE_CHECKING,
cast,
)

import numpy as np

Expand Down Expand Up @@ -51,6 +54,7 @@
Series,
TimedeltaIndex,
)
from pandas.core.arrays import TimedeltaArray
from pandas.core.arrays.datetimelike import DatetimeLikeArrayMixin
# ---------------------------------------------------------------------
# Offset names ("time rules") and related functions
Expand Down Expand Up @@ -140,10 +144,7 @@ def infer_freq(
>>> pd.infer_freq(idx)
'D'
"""
from pandas.core.api import (
DatetimeIndex,
Index,
)
from pandas.core.api import DatetimeIndex

if isinstance(index, ABCSeries):
values = index._values
Expand Down Expand Up @@ -172,15 +173,14 @@ def infer_freq(
inferer = _TimedeltaFrequencyInferer(index)
return inferer.get_freq()

if isinstance(index, Index) and not isinstance(index, DatetimeIndex):
if not hasattr(index, "dtype"):
pass
elif isinstance(index.dtype, object):
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I'm sorry, I'm not familiar enough with the code to review these code changes (more comfortable to review only type annotation changes)

if is_numeric_dtype(index.dtype):
raise TypeError(
f"cannot infer freq from a non-convertible index of dtype {index.dtype}"
)
# error: Incompatible types in assignment (expression has type
# "Union[ExtensionArray, ndarray[Any, Any]]", variable has type
# "Union[DatetimeIndex, TimedeltaIndex, Series, DatetimeLikeArrayMixin]")
index = index._values # type: ignore[assignment]
index = cast("TimedeltaArray", index)

if not isinstance(index, DatetimeIndex):
index = DatetimeIndex(index)
Expand Down