code: def is_name_like_value(
      value: Any,
      allow_none: bool = True,
      allow_tuple: bool = True,
      check_type: bool = False,
  ) -> bool:
      """
      Check the given value is like a name.
  
      Examples
      --------
      >>> is_name_like_value('abc')
      True
      >>> is_name_like_value(1)
      True
      >>> is_name_like_value(None)
      True
      >>> is_name_like_value(('abc',))
      True
      >>> is_name_like_value(1.0j)
      True
      >>> is_name_like_value(list('abc'))
      False
      >>> is_name_like_value(None, allow_none=False)
      False
      >>> is_name_like_value(('abc',), allow_tuple=False)
      False
      >>> is_name_like_value(1.0j, check_type=True)
      False
      """
      if value is None:
          return allow_none
      elif isinstance(value, tuple):
          return allow_tuple and is_name_like_tuple(
              value, allow_none=allow_none, check_type=check_type
          )
      elif is_list_like(value) or isinstance(value, slice):
          return False
      elif check_type:
          return (
              as_spark_type(type(value), raise_error=False) is not None
          )
      else:
          return True
  
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 13 for calling a global function with example usage: is_name_like_value(value, allow_none, allow_tuple, check_type) and returns: allow_none, unknown, False, unknown, True