code: def _auto_patch_spark() -> None:
      import os
      import logging
  
      # Attach a usage logger. 'KOALAS_USAGE_LOGGER' is legacy, and it's for compatibility.
      logger_module = os.getenv(
          "PYSPARK_PANDAS_USAGE_LOGGER",
          os.getenv("KOALAS_USAGE_LOGGER", ""),
      )
      if logger_module != "":
          try:
              from pyspark.pandas import usage_logging
  
              usage_logging.attach(logger_module)
          except Exception as e:
              logger = logging.getLogger("pyspark.pandas.usage_logger")
              logger.warning(
                  "Tried to attach usage logger `{}`, but an exception was raised: {}".format(
                      logger_module, str(e)
                  )
              )
  
imports: import os
  import sys
  import warnings
  from typing import Any
  from pyspark.pandas.missing.general_functions import MissingPandasLikeGeneralFunctions
  from pyspark.pandas.missing.scalars import MissingPandasLikeScalars
  from pyspark.sql.pandas.utils import require_minimum_pandas_version, require_minimum_pyarrow_version
  from pyspark.pandas.frame import DataFrame
  from pyspark.pandas.indexes.base import Index
  from pyspark.pandas.indexes.category import CategoricalIndex
  from pyspark.pandas.indexes.datetimes import DatetimeIndex
  from pyspark.pandas.indexes.multi import MultiIndex
  from pyspark.pandas.indexes.timedelta import TimedeltaIndex
  from pyspark.pandas.series import Series
  from pyspark.pandas.groupby import NamedAgg
  from pyspark.pandas.config import get_option, options, option_context, reset_option, set_option
  from pyspark.pandas.namespace import *
  from pyspark.pandas.sql_formatter import sql
label_desc: Use image node_id 1 for calling a global function with example usage: _auto_patch_spark() without return types