#NEWLINE# def fuzzy_and( args ) : #NEWLINE# #INDENT# 'Return True (all True), False (any False) or None.\n\n    Examples\n    ========\n\n    >>> from sympy.core.logic import fuzzy_and\n    >>> from sympy import Dummy\n\n    If you had a list of objects to test the commutivity of\n    and you want the fuzzy_and logic applied, passing an\n    iterator will allow the commutativity to only be computed\n    as many times as necessary. With this list, False can be\n    returned after analyzing the first symbol:\n\n    >>> syms = [Dummy(commutative=False), Dummy()]\n    >>> fuzzy_and(s.is_commutative for s in syms)\n    False\n\n    That False would require less work than if a list of pre-computed\n    items was sent:\n\n    >>> fuzzy_and([s.is_commutative for s in syms])\n    False\n    ' #NEWLINE# rv = True #NEWLINE# for ai in args : #NEWLINE# #INDENT# ai = fuzzy_bool ( ai ) #NEWLINE# if ( ai is False ) : #NEWLINE# #INDENT# return False #NEWLINE# #UNINDENT# if rv : #NEWLINE# #INDENT# rv = args #NEWLINE# #UNINDENT# #UNINDENT# return rv