code: def forall(f: Callable[[Any], bool]) -> udf:
      """The **forall** function allows for mapping a given boolean function to a list of arguments and return a single boolean value.
  
      It does this by creating a Spark UDF which takes in a list of arguments, applying the given boolean function to
      each element of the list and returning a single boolean value if all the elements pass through the given boolean function.
  
      :param f: A callable function ``f`` which takes in any type and returns a boolean
      :return: A spark UDF which accepts a list of arguments and returns True if all
      elements pass through the given boolean function, False otherwise.
      :rtype: UserDefinedFunction
      """
  
      def temp_udf(list_: list) -> bool:
          return all(map(f, list_))
  
      return F.udf(temp_udf, BooleanType())
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING
  import re
  import uuid
  from typing import Any
  import pyspark.sql.functions
  from pyspark.sql.types import ArrayType, BooleanType, StringType
label_desc: Use image node_id 6 for calling a global function with example usage: forall(f) and returns: F, all