code: def _prepare_row_count_args(
      row_count_name: str | None = None,
      row_count_offset: int = 0,
  ) -> tuple[str, int] | None:
      if row_count_name is not None:
          return (row_count_name, row_count_offset)
      else:
          return None
  
imports: from __future__ import annotations
  import inspect
  import os
  import re
  import sys
  import warnings
  from collections.abc import MappingView, Sized
  from enum import Enum
  from pathlib import Path
  from typing import TYPE_CHECKING, Any, Generator, Iterable, Literal, Sequence, TypeVar
  import polars
  from polars import functions
  from polars.datatypes import FLOAT_DTYPES, INTEGER_DTYPES, Boolean, Date, Datetime, Decimal, Duration, Int64, String, Time
  from polars.dependencies import _check_for_numpy
  from polars.dependencies import numpy
label_desc: Use image node_id 13 for calling a global function with example usage: _prepare_row_count_args(row_count_name, row_count_offset) and returns: row_count_name,  row_count_offset, None