REF: remove unnecessary PeriodIndex._get_indexer

pandas/core/indexes/base.py

@@ -3384,7 +3384,7 @@ def _get_fill_indexer(
         else:
             indexer = self._get_fill_indexer_searchsorted(target, method, limit)
         if tolerance is not None and len(self):
-            indexer = self._filter_indexer_tolerance(target._values, indexer, tolerance)
+            indexer = self._filter_indexer_tolerance(target_values, indexer, tolerance)
         return indexer
 
     @final
@@ -3434,15 +3434,10 @@ def _get_nearest_indexer(self, target: Index, limit, tolerance) -> np.ndarray:
         left_indexer = self.get_indexer(target, "pad", limit=limit)
         right_indexer = self.get_indexer(target, "backfill", limit=limit)
 
-        target_values = target._values
-        # error: Unsupported left operand type for - ("ExtensionArray")
-        left_distances = np.abs(
-            self._values[left_indexer] - target_values  # type: ignore[operator]
-        )
-        # error: Unsupported left operand type for - ("ExtensionArray")
-        right_distances = np.abs(
-            self._values[right_indexer] - target_values  # type: ignore[operator]
-        )
+        target_values = target._get_engine_target()
+        own_values = self._get_engine_target()
+        left_distances = np.abs(own_values[left_indexer] - target_values)
+        right_distances = np.abs(own_values[right_indexer] - target_values)
 
         op = operator.lt if self.is_monotonic_increasing else operator.le
         indexer = np.where(
@@ -3461,8 +3456,8 @@ def _filter_indexer_tolerance(
         indexer: np.ndarray,
         tolerance,
     ) -> np.ndarray:
-        # error: Unsupported left operand type for - ("ExtensionArray")
-        distance = abs(self._values[indexer] - target)  # type: ignore[operator]
+        own_values = self._get_engine_target()
+        distance = abs(own_values[indexer] - target)
         return np.where(distance <= tolerance, indexer, -1)
 
     # --------------------------------------------------------------------

pandas/core/indexes/datetimelike.py

@@ -230,10 +230,8 @@ def take(self, indices, axis=0, allow_fill=True, fill_value=None, **kwargs):
     """The expected NA value to use with this index."""
 
     def _convert_tolerance(self, tolerance, target):
+        tolerance = super()._convert_tolerance(tolerance, target)
         tolerance = np.asarray(to_timedelta(tolerance).to_numpy())
-
-        if target.size != tolerance.size and tolerance.size > 1:
-            raise ValueError("list-like tolerance size must match target index size")
         return tolerance
 
     def tolist(self) -> List:

pandas/core/indexes/numeric.py

@@ -119,9 +119,8 @@ def _shallow_copy(self, values=None, name: Hashable = lib.no_default):
         return super()._shallow_copy(values=values, name=name)
 
     def _convert_tolerance(self, tolerance, target):
-        tolerance = np.asarray(tolerance)
-        if target.size != tolerance.size and tolerance.size > 1:
-            raise ValueError("list-like tolerance size must match target index size")
+        tolerance = super()._convert_tolerance(tolerance, target)
+
         if not np.issubdtype(tolerance.dtype, np.number):
             if tolerance.ndim > 0:
                 raise ValueError(

pandas/core/indexes/period.py

@@ -11,7 +11,7 @@
 from pandas._libs.tslibs.parsing import DateParseError, parse_time_string
 from pandas._typing import Dtype, DtypeObj
 from pandas.errors import InvalidIndexError
-from pandas.util._decorators import cache_readonly, doc
+from pandas.util._decorators import doc
 
 from pandas.core.dtypes.common import (
     is_bool_dtype,
@@ -324,10 +324,6 @@ def __contains__(self, key: Any) -> bool:
             except KeyError:
                 return False
 
-    @cache_readonly
-    def _int64index(self) -> Int64Index:
-        return Int64Index._simple_new(self.asi8, name=self.name)
-
     # ------------------------------------------------------------------------
     # Index Methods
 
@@ -424,24 +420,18 @@ def inferred_type(self) -> str:
     # ------------------------------------------------------------------------
     # Indexing Methods
 
-    def _get_indexer(self, target: Index, method=None, limit=None, tolerance=None):
-
-        if not self._should_compare(target):
-            return self._get_indexer_non_comparable(target, method, unique=True)
-
-        if isinstance(target, PeriodIndex):
-            target = target._int64index  # i.e. target.asi8
-            self_index = self._int64index
-        else:
-            self_index = self
+    def _convert_tolerance(self, tolerance, target):
+        # Returned tolerance must be in dtype/units so that
+        #  `|self._get_engine_target() - target._engine_target()| <= tolerance`
+        #  is meaningful.  Since PeriodIndex returns int64 for engine_target,
+        #  we may need to convert timedelta64 tolerance to int64.
+        tolerance = super()._convert_tolerance(tolerance, target)
 
-        if tolerance is not None:
-            tolerance = self._convert_tolerance(tolerance, target)
-            if self_index is not self:
-                # convert tolerance to i8
-                tolerance = self._maybe_convert_timedelta(tolerance)
+        if self.dtype == target.dtype:
+            # convert tolerance to i8
+            tolerance = self._maybe_convert_timedelta(tolerance)
 
-        return Index._get_indexer(self_index, target, method, limit, tolerance)
+        return tolerance
 
     def get_loc(self, key, method=None, tolerance=None):
         """
@@ -579,14 +569,6 @@ def _get_string_slice(self, key: str):
         except KeyError as err:
             raise KeyError(key) from err
 
-    # ------------------------------------------------------------------------
-
-    def memory_usage(self, deep: bool = False) -> int:
-        result = super().memory_usage(deep=deep)
-        if hasattr(self, "_cache") and "_int64index" in self._cache:
-            result += self._int64index.memory_usage(deep=deep)
-        return result
-
 
 def period_range(
     start=None, end=None, periods: Optional[int] = None, freq=None, name=None

pandas/core/indexes/range.py

@@ -3,7 +3,7 @@
 from datetime import timedelta
 import operator
 from sys import getsizeof
-from typing import Any, Hashable, List, Optional, Tuple
+from typing import TYPE_CHECKING, Any, Hashable, List, Optional, Tuple
 import warnings
 
 import numpy as np
@@ -20,7 +20,6 @@
     ensure_python_int,
     is_float,
     is_integer,
-    is_list_like,
     is_scalar,
     is_signed_integer_dtype,
     is_timedelta64_dtype,
@@ -35,6 +34,9 @@
 from pandas.core.indexes.numeric import Float64Index, Int64Index
 from pandas.core.ops.common import unpack_zerodim_and_defer
 
+if TYPE_CHECKING:
+    from pandas import Index
+
 _empty_range = range(0)
 
 
@@ -368,8 +370,8 @@ def get_loc(self, key, method=None, tolerance=None):
             raise KeyError(key)
         return super().get_loc(key, method=method, tolerance=tolerance)
 
-    def _get_indexer(self, target, method=None, limit=None, tolerance=None):
-        if com.any_not_none(method, tolerance, limit) or not is_list_like(target):
+    def _get_indexer(self, target: Index, method=None, limit=None, tolerance=None):
+        if com.any_not_none(method, tolerance, limit):
             return super()._get_indexer(
                 target, method=method, tolerance=tolerance, limit=limit
             )
@@ -381,11 +383,11 @@ def _get_indexer(self, target, method=None, limit=None, tolerance=None):
             reverse = self._range[::-1]
             start, stop, step = reverse.start, reverse.stop, reverse.step
 
-        target_array = np.asarray(target)
-        if not (is_signed_integer_dtype(target_array) and target_array.ndim == 1):
+        if not is_signed_integer_dtype(target):
             # checks/conversions/roundings are delegated to general method
             return super()._get_indexer(target, method=method, tolerance=tolerance)
 
+        target_array = np.asarray(target)
         locs = target_array - start
         valid = (locs % step == 0) & (locs >= 0) & (target_array < stop)
         locs[~valid] = -1

pandas/tests/indexes/period/test_constructors.py

@@ -329,7 +329,7 @@ def test_constructor_simple_new(self):
         msg = "Should be numpy array of type i8"
         with pytest.raises(AssertionError, match=msg):
             # Need ndarray, not Int64Index
-            type(idx._data)._simple_new(idx._int64index, freq=idx.freq)
+            type(idx._data)._simple_new(Index(idx.asi8), freq=idx.freq)
 
         arr = type(idx._data)._simple_new(idx.asi8, freq=idx.freq)
         result = idx._simple_new(arr, name="p")