code: def _check_series_convert_timestamps_tz_local(
      s: "PandasSeriesLike", timezone: str
  ) -> "PandasSeriesLike":
      """
      Convert timestamp to timezone-naive in the specified timezone or local timezone
  
      Parameters
      ----------
      s : pandas.Series
      timezone : str
          the timezone to convert from. if None then use local timezone
  
      Returns
      -------
      pandas.Series
          `pandas.Series` where if it is a timestamp, has been converted to tz-naive
      """
      return _check_series_convert_timestamps_localize(
          s, timezone, None
      )
  
imports: import datetime
  import itertools
  from typing import Any, Callable, Iterable, List, Optional, Union, TYPE_CHECKING
  from pyspark.sql.types import cast, BooleanType, ByteType, ShortType, IntegerType, IntegralType, LongType, FloatType, DoubleType, DecimalType, StringType, BinaryType, DateType, TimestampType, TimestampNTZType, DayTimeIntervalType, ArrayType, MapType, StructType, StructField, NullType, DataType, UserDefinedType, _create_row
  from pyspark.errors import PySparkTypeError, UnsupportedOperationException, PySparkValueError
label_desc: Use image node_id 10 for calling a global function with example usage: _check_series_convert_timestamps_tz_local(s, timezone) and returns: _check_series_convert_timestamps_localize