Remove conversion to np array before checking for fastpath

modin/core/dataframe/pandas/dataframe/dataframe.py

@@ -1075,11 +1075,6 @@ def _maybe_reorder_labels(
  -------
  PandasDataframe
  """
- # if positions are plain lists or tuples, convert them to numpy for faster operations
- if isinstance(row_positions, (list, tuple)):
- row_positions = np.asarray(row_positions, dtype=np.intp)
- if isinstance(col_positions, (list, tuple)):
- col_positions = np.asarray(col_positions, dtype=np.intp)
  # Check if monotonically increasing, return if it is. Fast track code path for
  # common case to keep it fast.
  if (
@@ -1113,12 +1108,12 @@ def _maybe_reorder_labels(
  # do not need to re-order positive-step-ranges
  new_row_order = pandas.RangeIndex(len(row_positions) - 1, -1, -1)
  elif row_positions is not None:
- new_row_order = np.argsort(np.argsort(row_positions))
+ new_row_order = np.argsort(np.argsort(np.asarray(row_positions, dtype=np.intp)))
  if is_range_like(col_positions):
  if col_positions.step < 0:
  new_col_order = pandas.RangeIndex(len(col_positions) - 1, -1, -1)
  elif col_positions is not None:
- new_col_order = np.argsort(np.argsort(col_positions))
+ new_col_order = np.argsort(np.argsort(np.asarray(col_positions, dtype=np.intp)))
  return intermediate._reorder_labels(
  row_positions=new_row_order, col_positions=new_col_order
  )