FEAT-#7203: Make sure modin works correctly with pandas, which uses pyarrow as a backend

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