fix NumericIndex for nightly (pandas-dev#528)

* fix NumericIndex for nightly

* import Index as NumericIndex

Author: Dr-Irv

tests/test_indexes.py

@@ -12,23 +12,30 @@
 import numpy as np
 from numpy import typing as npt
 import pandas as pd
-from pandas.core.indexes.numeric import NumericIndex
 from typing_extensions import (
     Never,
     assert_type,
 )
 
 from pandas._typing import Scalar
 
-if TYPE_CHECKING:
-    from pandas._typing import IndexIterScalar
-
 from tests import (
+    PD_LTE_15,
     TYPE_CHECKING_INVALID_USAGE,
     check,
     pytest_warns_bounded,
 )
 
+if TYPE_CHECKING:
+    from pandas.core.indexes.numeric import NumericIndex
+
+    from pandas._typing import IndexIterScalar
+else:
+    if not PD_LTE_15:
+        from pandas import Index as NumericIndex
+    else:
+        from pandas.core.indexes.numeric import NumericIndex
+
 
 def test_index_unique() -> None:
     df = pd.DataFrame({"x": [1, 2, 3, 4]}, index=pd.Index([1, 2, 3, 2]))

tests/test_timefuncs.py

@@ -12,7 +12,6 @@
 import numpy as np
 from numpy import typing as npt
 import pandas as pd
-from pandas.core.indexes.numeric import NumericIndex
 import pytz
 from typing_extensions import assert_type
 
@@ -25,6 +24,7 @@
 else:
     FulldatetimeDict = Any
 from tests import (
+    PD_LTE_15,
     TYPE_CHECKING_INVALID_USAGE,
     check,
     pytest_warns_bounded,
@@ -46,6 +46,15 @@
         TimestampSeries,
     )
 
+if TYPE_CHECKING:
+    from pandas.core.indexes.numeric import NumericIndex
+
+else:
+    if not PD_LTE_15:
+        from pandas import Index as NumericIndex
+    else:
+        from pandas.core.indexes.numeric import NumericIndex
+
 # Separately define here so pytest works
 np_ndarray_bool = npt.NDArray[np.bool_]