code: def should_reindex_frame_op(
      left: DataFrame, right, op, axis: int, fill_value, level
  ) -> bool:
      """
      Check if this is an operation between DataFrames that will need to reindex.
      """
      assert isinstance(left, ABCDataFrame)
  
      if op is operator.pow or op is roperator.rpow:
          # GH#32685 pow has special semantics for operating with null values
          return False
  
      if not isinstance(right, ABCDataFrame):
          return False
  
      if fill_value is None and level is None and axis == 1:
          # TODO: any other cases we should handle here?
  
          # Intersection is always unique so we have to check the unique columns
          left_uniques = left.columns.unique()
          right_uniques = right.columns.unique()
          cols = left_uniques.intersection(right_uniques)
          if len(cols) and not (
              len(cols) == len(left_uniques)
              and len(cols) == len(right_uniques)
          ):
              # TODO: is there a shortcut available when len(cols) == 0?
              return True
  
      return False
  
imports: from __future__ import annotations
  import operator
  from typing import TYPE_CHECKING, cast
  import numpy
  from pandas._libs.ops_dispatch import maybe_dispatch_ufunc_to_dunder_op
  from pandas._typing import Axis, AxisInt, Level
  from pandas.util._decorators import Appender
  from pandas.core.dtypes.common import is_array_like, is_list_like
  from pandas.core.dtypes.generic import ABCDataFrame, ABCSeries
  from pandas.core.dtypes.missing import isna
  from pandas.core import algorithms, roperator
  from pandas.core.ops.array_ops import arithmetic_op, comp_method_OBJECT_ARRAY, comparison_op, get_array_op, logical_op, maybe_prepare_scalar_for_op
  from pandas.core.ops.common import get_op_result_name, unpack_zerodim_and_defer
  from pandas.core.ops.docstrings import _flex_comp_doc_FRAME, _op_descriptions, make_flex_doc
  from pandas.core.ops.invalid import invalid_comparison
  from pandas.core.ops.mask_ops import kleene_and, kleene_or, kleene_xor
  from pandas.core.ops.methods import add_flex_arithmetic_methods
  from pandas.core.roperator import radd, rand_, rdiv, rdivmod, rfloordiv, rmod, rmul, ror_, rpow, rsub, rtruediv, rxor
label_desc: Use image node_id 5 for calling a global function with example usage: should_reindex_frame_op(left, right, op, axis, fill_value, level) and returns: False, False, False, True