CLN: unnecessary ABCClasses

pandas/core/arrays/interval.py

@@ -29,7 +29,6 @@
     ABCDatetimeIndex,
     ABCExtensionArray,
     ABCIndexClass,
-    ABCInterval,
     ABCIntervalIndex,
     ABCPeriodIndex,
     ABCSeries,
@@ -529,7 +528,7 @@ def __setitem__(self, key, value):
             value_left, value_right = value, value
 
         # scalar interval
-        elif is_interval_dtype(value) or isinstance(value, ABCInterval):
+        elif is_interval_dtype(value) or isinstance(value, Interval):
             self._check_closed_matches(value, name="value")
             value_left, value_right = value.left, value.right
 
@@ -642,7 +641,7 @@ def fillna(self, value=None, method=None, limit=None):
         if limit is not None:
             raise TypeError("limit is not supported for IntervalArray.")
 
-        if not isinstance(value, ABCInterval):
+        if not isinstance(value, Interval):
             msg = (
                 "'IntervalArray.fillna' only supports filling with a "
                 f"scalar 'pandas.Interval'. Got a '{type(value).__name__}' instead."

pandas/core/dtypes/generic.py

@@ -63,12 +63,11 @@ def _check(cls, inst) -> bool:
     "ABCTimedeltaArray", "_typ", ("timedeltaarray")
 )
 ABCPeriodArray = create_pandas_abc_type("ABCPeriodArray", "_typ", ("periodarray",))
-ABCPeriod = create_pandas_abc_type("ABCPeriod", "_typ", ("period",))
 ABCDateOffset = create_pandas_abc_type("ABCDateOffset", "_typ", ("dateoffset",))
-ABCInterval = create_pandas_abc_type("ABCInterval", "_typ", ("interval",))
 ABCExtensionArray = create_pandas_abc_type(
     "ABCExtensionArray",
     "_typ",
+    # Note: IntervalArray and SparseArray are included bc they have _typ="extension"
     ("extension", "categorical", "periodarray", "datetimearray", "timedeltaarray"),
 )
 ABCPandasArray = create_pandas_abc_type("ABCPandasArray", "_typ", ("npy_extension",))

pandas/tests/dtypes/test_generic.py

@@ -37,13 +37,10 @@ def test_abc_types(self):
         assert isinstance(self.df, gt.ABCDataFrame)
         assert isinstance(self.sparse_array, gt.ABCSparseArray)
         assert isinstance(self.categorical, gt.ABCCategorical)
-        assert isinstance(pd.Period("2012", freq="A-DEC"), gt.ABCPeriod)
 
         assert isinstance(pd.DateOffset(), gt.ABCDateOffset)
         assert isinstance(pd.Period("2012", freq="A-DEC").freq, gt.ABCDateOffset)
         assert not isinstance(pd.Period("2012", freq="A-DEC"), gt.ABCDateOffset)
-        assert isinstance(pd.Interval(0, 1.5), gt.ABCInterval)
-        assert not isinstance(pd.Period("2012", freq="A-DEC"), gt.ABCInterval)
 
         assert isinstance(self.datetime_array, gt.ABCDatetimeArray)
         assert not isinstance(self.datetime_index, gt.ABCDatetimeArray)

pandas/tests/indexes/datetimes/test_ops.py

@@ -4,10 +4,16 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.generic import ABCDateOffset
-
 import pandas as pd
-from pandas import DatetimeIndex, Index, Series, Timestamp, bdate_range, date_range
+from pandas import (
+    DateOffset,
+    DatetimeIndex,
+    Index,
+    Series,
+    Timestamp,
+    bdate_range,
+    date_range,
+)
 import pandas._testing as tm
 
 from pandas.tseries.offsets import BDay, BMonthEnd, CDay, Day, Hour
@@ -394,7 +400,7 @@ def test_freq_setter(self, values, freq, tz):
         # can set to an offset, converting from string if necessary
         idx._data.freq = freq
         assert idx.freq == freq
-        assert isinstance(idx.freq, ABCDateOffset)
+        assert isinstance(idx.freq, DateOffset)
 
         # can reset to None
         idx._data.freq = None

pandas/tests/indexes/timedeltas/test_ops.py

@@ -3,13 +3,11 @@
 import numpy as np
 import pytest
 
-from pandas.core.dtypes.generic import ABCDateOffset
-
 import pandas as pd
 from pandas import Series, TimedeltaIndex, timedelta_range
 import pandas._testing as tm
 
-from pandas.tseries.offsets import Day, Hour
+from pandas.tseries.offsets import DateOffset, Day, Hour
 
 
 class TestTimedeltaIndexOps:
@@ -263,7 +261,7 @@ def test_freq_setter(self, values, freq):
         # can set to an offset, converting from string if necessary
         idx._data.freq = freq
         assert idx.freq == freq
-        assert isinstance(idx.freq, ABCDateOffset)
+        assert isinstance(idx.freq, DateOffset)
 
         # can reset to None
         idx._data.freq = None