code: def _maybe_align_series_as_frame(
      frame: DataFrame, series: Series, axis: AxisInt
  ):
      """
      If the Series operand is not EA-dtype, we can broadcast to 2D and operate
      blockwise.
      """
      rvalues = series._values
      if not isinstance(rvalues, np.ndarray):
          # TODO(EA2D): no need to special-case with 2D EAs
          if rvalues.dtype in ("datetime64[ns]", "timedelta64[ns]"):
              # We can losslessly+cheaply cast to ndarray
              rvalues = np.asarray(rvalues)
          else:
              return series
  
      if axis == 0:
          rvalues = rvalues.reshape(-1, 1)
      else:
          rvalues = rvalues.reshape(1, -1)
  
      rvalues = np.broadcast_to(rvalues, frame.shape)
      # pass dtype to avoid doing inference
      return type(frame)(
          rvalues,
          index=frame.index,
          columns=frame.columns,
          dtype=rvalues.dtype,
      )
  
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 7 for calling a global function with example usage: _maybe_align_series_as_frame(frame, series, axis) and returns: type, series