code: def name_like_string(name: Optional[Name]) -> str:
      """
      Return the name-like strings from str or tuple of str
  
      Examples
      --------
      >>> name = 'abc'
      >>> name_like_string(name)
      'abc'
  
      >>> name = ('abc',)
      >>> name_like_string(name)
      'abc'
  
      >>> name = ('a', 'b', 'c')
      >>> name_like_string(name)
      '(a, b, c)'
      """
      label: Label
      if name is None:
          label = ("__none__",)
      elif is_list_like(name):
          label = tuple([str(n) for n in name])
      else:
          label = (str(name),)
      return ("(%s)" % ", ".join(label)) if len(label) > 1 else label[0]
  
imports: import functools
  from contextlib import contextmanager
  import os
  from typing import Any, Callable, Dict, Iterator, List, Optional, Tuple, Union, TYPE_CHECKING, cast, no_type_check, overload
  import warnings
  import pandas
  from pandas.api.types import is_list_like
  from pyspark.sql import functions, Column, DataFrame, SparkSession
  from pyspark.sql.types import DoubleType
  from pyspark.sql.utils import is_remote, get_dataframe_class
  from pyspark.errors import PySparkTypeError
  from pyspark import pandas
  from pyspark.pandas._typing import Axis, Label, Name, DataFrameOrSeries
  from pyspark.pandas.typedef.typehints import as_spark_type
label_desc: Use image node_id 11 for calling a global function with example usage: name_like_string(name) and returns: unknown