FEAT-#7203: Make sure Modin works correctly with pandas, which uses p…

…yarrow as a backend (#7204)

Signed-off-by: Anatoly Myachev <anatoly.myachev@intel.com>
Co-authored-by: Iaroslav Igoshev <Poolliver868@mail.ru>

modin/core/dataframe/algebra/binary.py

@@ -269,8 +269,6 @@ def try_compute_new_dtypes(
 
     try:
         if infer_dtypes == "bool" or is_bool_dtype(result_dtype):
-            # FIXME: https://github.com/modin-project/modin/issues/7203
-            # can be `pandas.api.types.pandas_dtype("bool[pyarrow]")` depending on the data
             dtypes = maybe_build_dtypes_series(
                 first, second, dtype=pandas.api.types.pandas_dtype(bool)
             )

modin/core/dataframe/base/dataframe/utils.py

@@ -21,10 +21,10 @@
 from enum import Enum
 from typing import Dict, List, Sequence, Tuple, cast
 
-import numpy as np
 import pandas
 from pandas._typing import IndexLabel
 from pandas.api.types import is_scalar
+from pandas.core.dtypes.common import is_integer_dtype
 
 
 class Axis(Enum):  # noqa: PR01
@@ -170,7 +170,7 @@ def is_trivial_index(index: pandas.Index) -> bool:
         return True
     if isinstance(index, pandas.RangeIndex):
         return index.start == 0 and index.step == 1
-    if not (isinstance(index, pandas.Index) and index.dtype == np.int64):
+    if not (isinstance(index, pandas.Index) and is_integer_dtype(index)):
         return False
     return (
         index.is_monotonic_increasing