code: def align_method_SERIES(
      left: Series, right, align_asobject: bool = False
  ):
      """align lhs and rhs Series"""
      # ToDo: Different from align_method_FRAME, list, tuple and ndarray
      # are not coerced here
      # because Series has inconsistencies described in #13637
  
      if isinstance(right, ABCSeries):
          # avoid repeated alignment
          if not left.index.equals(right.index):
              if align_asobject:
                  # to keep original value's dtype for bool ops
                  left = left.astype(object)
                  right = right.astype(object)
  
              left, right = left.align(right, copy=False)
  
      return left, right
  
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 2 for calling a global function with example usage: align_method_SERIES(left, right, align_asobject) and returns: left,  right