code: def fuzzy_and(args):
      """Return True (all True), False (any False) or None.
  
      Examples
      ========
  
      >>> from sympy.core.logic import fuzzy_and
      >>> from sympy import Dummy
  
      If you had a list of objects to test the commutivity of
      and you want the fuzzy_and logic applied, passing an
      iterator will allow the commutativity to only be computed
      as many times as necessary. With this list, False can be
      returned after analyzing the first symbol:
  
      >>> syms = [Dummy(commutative=False), Dummy()]
      >>> fuzzy_and(s.is_commutative for s in syms)
      False
  
      That False would require less work than if a list of pre-computed
      items was sent:
  
      >>> fuzzy_and([s.is_commutative for s in syms])
      False
      """
  
      rv = True
      for ai in args:
          ai = fuzzy_bool(ai)
          if ai is False:
              return False
          if rv:  # this will stop updating if a None is ever trapped
              rv = ai
      return rv
  
imports: from __future__ import annotations
  from typing import Optional
label_desc: Use image node_id 4 for calling a global function with example usage: fuzzy_and(args) and returns: rv, False