def get_smt_body(formula):
    #print '-----need to tans formula is:', formula
    formula = __logicSym_to_smtSym(formula)
    fluents = context_operator.get_fluents()
    fluent_sub = '|'.join([r"(?:(%s)\(([\w,\s]*)\))" % fun for fun in fluents])
    #print fluents
    fluent_sub_pattern = re.compile(fluent_sub)

    temp_formula = ""
    while temp_formula != formula:
        temp_formula = formula
        #formula = fluent_sub_pattern.sub(__mrepl_fluent, formula)
        formula = Util.repeat_replace_inner_with_pattern(
            fluent_sub_pattern, __mrepl_fluent, formula)
        #print "repl_fluent---",formula
        #formula = Util.repeat_replace_inner_with_pattern(most_inner_pattern, __mrepl_no_inner_formula, formula)
        formula = most_inner_pattern.sub(__mrepl_no_inner_formula, formula)
        #print "inner_pattern---",formula
        formula = Util.repeat_replace_inner_with_pattern(
            quantifier_pattern, __mrepl_quntifier, formula)
        #formula = quantifier_pattern.sub(__mrepl_quntifier, formula)
    formula = re.sub(r'.*', __mrepl_no_inner_formula, formula)

    repl_list = context_operator.get_replace_list()
    repl_list.reverse()
    #print repl_list
    formula = Util.repeat_do_function(Util.sub_lambda_exp, repl_list, formula)
    #print formula
    context_operator.clear_replace_list()
    return formula
Beispiel #2
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def progress(action_str, model):     # here action is a ground term
	
	universe, assignment, default_value = model
	fluent_sorts = context_operator.get_functions_sorts()
	fluents = context_operator.get_fluents()
	predicates = context_operator.get_predicates()
	predicate_sorts = context_operator.get_predicate_sorts()

	fun_fluents_sorts = [(fluent, sorts) for fluent, sorts in fluent_sorts.iteritems() if fluent not in predicates and fluent in fluents]
	pred_fluents_sorts = [(fluent, sorts) for fluent, sorts in predicate_sorts.iteritems()]

	#print fluents, fun_fluents_sorts, pred_fluents_sorts

	new_model_list = list()
	#model_elem_set = set(assignment.keys())
	for fluent_name, sorts in fun_fluents_sorts:
		#print sorts
		consts = [universe[sort] for e, sort in enumerate(sorts) ]
		f_fluent_tuples = [(fluent_name+"("+",".join(list(elem)[0:len(elem)-1]) + ")", elem[len(elem)-1]) for elem in list(itertools.product(*consts))]
		f_fluents = [ '%s=%s'%(fun,value) for fun, value in f_fluent_tuples]
		#add_list.extend([fun for fun,value in f_fluent_tuples if fun not in model_elem_set])
		new_model_list.extend([f_fluent for f_fluent in f_fluents if __model_ssa(f_fluent, action_str,  model)])


	for fluent_name, sorts in pred_fluents_sorts:
		#print fluent_name, sorts
		consts = [universe[sort] for e, sort in enumerate(sorts) ]
		#print consts
		p_fluents = [fluent_name+"("+",".join(list(elem)[0:len(elem)]) + ")" for elem in list(itertools.product(*consts))]
		new_model_list.extend([p_fluent+"="+str(__model_ssa(p_fluent, action_str, model)) for p_fluent in p_fluents  ])

	new_assignment = { fluent.split("=")[0]: fluent.split("=")[1] for fluent in new_model_list}

	return (universe, new_assignment, default_value)
Beispiel #3
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def __generate_head():
    head_str = ""
    sorts = list(context_operator.get_sorts().keys())
    #print ["(declare-sort "+sort for sort in sorts]
    head_str += "&".join(
        ["(declare-sort " + sort + ")" for sort in sorts if sort != "Int"])

    functions = context_operator.get_fluents()
    functions_sorts = [sort_system.get_function_sort(fun) for fun in functions]
    #print functions_sorts
    functions_sorts = [
        "(" + " ".join(sorts[0:len(sorts) - 1]) + ") " + sorts[len(sorts) - 1]
        for sorts in functions_sorts
    ]
    sorts_consts = context_operator.get_sort_symbols_dict()
    #print functions, functions_sorts
    #print ["(declare-sort "+ sort + ")" for sort in sorts]
    head_str += "&".join([
        "(declare-fun " + fun + functions_sorts[e] + ")"
        for e, fun in enumerate(functions)
    ])
    head_str += "&".join([
        "(declare-const " + const + " " + sort + ")"
        for sort in sorts_consts.keys() for const in sorts_consts[sort]
        if sort != "Int"
    ])

    return head_str
def __get_fluents(universe):
	fun_sorts_dict = context_operator.get_functions_sorts()
	fun_fluent_list = [f for f in context_operator.get_fluents() if f ]
	fun_sorts_list  = [ (f, fun_sorts_dict[f]) for f in fun_fluent_list]

	fluent_tuple_list = list()
	for f, sort_list in fun_sorts_list:
		paras_list = itertools.product(*[ universe[s] for s in sort_list[0: len(sort_list)-1] ])
		fluent_tuple_list.extend([(f,paras, sort_list[-1]) for paras in paras_list ])

	return fluent_tuple_list
Beispiel #5
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def sat_formula(model, formula):

    universe, assignment, default_value = model
    formula = __to_python_formula(formula)
    #print '1,---------',formula
    formula = Formula.transform_entailment(formula)
    #print '2,---------',formula
    ground_formula = Formula.grounding(formula, model)
    #print '3,--------',ground_formula
    logical_formula = __assignment(ground_formula, assignment)
    #print '4,--------model replace',logical_formula
    #print 'kkkk',context_operator.get_sort_symbols_dict()
    #logger.debug("Checking formula %s with model %s \n formula after grounding: %s \n after model_replace %s"%(formula,model,ground_formula,logical_formula))
    scope = __get_const_value(context_operator.get_sort_symbols_dict(),
                              context_operator.get_fluents(), assignment)
    flag = eval(logical_formula, scope)
    #logger.debug('sat?: \n%s'%flag)
    return flag
Beispiel #6
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def parser(filename):
    with open('./input/%s'%filename,"read") as sc_file, open('./input/default_axioms.sc',"read") as basic_file,\
    open('./temp/game_rule_info','write') as sc_temp:
        full_txt = " ".join(sc_file.readlines()).replace("\n", " ").replace(
            "\t", " ")
        full_txt += " ".join(basic_file.readlines()).replace(
            "\n", " ").replace("\t", " ") + ";"
        full_txt = full_txt.replace(' and ',
                                    '&').replace(' or ', '|').replace(' ', "")
        #logger.debug(full_txt)

        rule_list = pattern.rule3.findall(full_txt) + pattern.rule4.findall(
            full_txt) + pattern.rule5.findall(full_txt)

        sc_temp.writelines('\n'.join([str(elem) for elem in rule_list]))

        rule_list = __pre_parse(rule_list)

        sc_temp.writelines('\n')
        sc_temp.writelines('\n\n')
        sc_temp.writelines('\n'.join([str(elem) for elem in rule_list]))

        for k, g in groupby(sorted(rule_list, key=itemgetter(0)),
                            key=itemgetter(0)):
            m_group = list(g)
            #print "-------",k, m_group
            eval("apply(__parse_" + k + "," + str(m_group) + ")")

        predicates = __generate_predicates(
            context_operator.get_fluents(),
            context_operator.get_symbol_sorts_dict().keys())
        fun_fluents = [
            fluent for fluent in context_operator.get_fluents()
            if fluent not in predicates
        ]

        #print context_operator.get_feature()
        sc_temp.writelines('\n\n')
        sc_temp.writelines('feature pattern for regression:\n')
        sc_temp.writelines('\n'.join(
            [str(elem) for elem in context_operator.get_feature()]))
        #exit(0)
        sc_temp.writelines('\n')
        sc_temp.writelines('\n actions:' + str(context_operator.get_actions()))
        sc_temp.writelines('\n fluents:' + str(context_operator.get_fluents()))
        sc_temp.writelines('\n 0arity-fluents:' +
                           str(context_operator.get_zero_fluents()))
        sc_temp.writelines('\n predicates:' + str(predicates))
        sc_temp.writelines('\n functional fluents:' + str(fun_fluents))

        #logger.debug("\n actions :%s \n fluents %s"%(context_operator.get_actions(), context_operator.get_fluents()))
        #print sort_system.get_function_sort('numStone')
        #print context_operator.get_sort_symbols_dict()
        sort_const = __get_sort_const_with_fluents(
            context_operator.get_sort_symbols_dict(),
            context_operator.get_fluents())
        sort_const["Bool"] = ['True', 'False']
        sort_funs = __get_funs_sorts(context_operator.get_fluents() +
                                     context_operator.get_actions())
        sort_preds = __generate_predicate_sorts(predicates, sort_funs)

        sc_temp.writelines('\n')
        sc_temp.writelines('\n sort for constants:' + str(sort_const))
        sc_temp.writelines('\n sort for functions:' + str(sort_funs))
        sc_temp.writelines('\n sort for predicates:' + str(sort_preds))

        context_operator.set_sort_symbols_dict(sort_const)
        context_operator.set_functions_sorts(sort_funs)
        context_operator.add_predicates(predicates)
        context_operator.add_predicate_sorts(sort_preds)

        context_operator.add_nregx_function_patterns(
            __generate_nregx_function_patterns(fun_fluents))
        #print z3_header
        context_operator.set_function_regress_lambda(
            __generate_fun_regress_lambda(fun_fluents, sort_funs))
        context_operator.set_predicate_regress_lambda(
            __generate_pred_regress_lambda(predicates, sort_preds))
        #exit(0)

        domain_name = filename.split('.')[0]
        __load_state_constaints(domain_name)
Beispiel #7
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def interpret_model(results, max_value=99999):
    #print results
    #context_operator.set_counterexample_result(results)

    lambda_funs = util_z3_model.get_fun(results)
    #print lambda_funs
    #print results
    # a dict maps constants to SMT constants
    const_dict = util_z3_model.get_const(results)
    #print const_dict
    #print const_dict
    #print '----------',context_operator.get_sort_symbols_dict()

    universe = copy.deepcopy(context_operator.get_sort_symbols_dict())
    min_num = min([int(e) for e in universe['Int']])
    max_num = max([int(e) for e in universe['Int']])
    universe['Int'] = [str(e) for e in range(min_num, max_num + 1)]
    #universe['Int'] =  list(set(universe['Int'] +__generate_num_universe(str(lambda_funs)+str(const_dict))))
    #print universe['Int']
    # get fluent names from the interpretation
    fluents = __get_model_fluents(lambda_funs, const_dict,
                                  context_operator.get_fluents())
    #Predicates is also included because they can be seen as two-value (true/false) functions.

    scope = dict()
    for fun in lambda_funs:
        exec(fun, scope)

    fluent_sorts = context_operator.get_functions_sorts()

    #constraints = __parse_constraints(domain_constraints, const_dict)??
    flag = True
    value_constraints = list()
    while flag is True and value_constraints == list():
        flag = False
        #elem_list = __get_model_elements(fluents, context_operator.get_fluent_constraint())
        #generate parameters for fluents
        elem_list = __get_model_elements(fluents, add_universe=universe)
        const_symbols = sum(universe.values(), [])
        # set non-constant fluent, lile xlen, numStone
        elem_value_list = [(fun, tuple(), value)
                           for fun, value in const_dict.items()
                           if fun in fluents]
        # transform SMT true/false to 'True'/'False'
        elem_value_list = __trans_true_false(elem_value_list)
        elem_value_list += [(fun, paras,
                             apply(eval(fun, scope),
                                   __name_relpace(paras, const_dict)))
                            for fun, paras in elem_list
                            if fun not in const_dict.keys()]
        # transform SMT constants to constant symbols
        anti_const_dict = {
            value: key
            for key, value in const_dict.items()
            if key not in fluents and key in const_symbols
            and not isinstance(value, int) and not value.isdigit()
        }
        elem_value_list = [
            (fun, paras,
             anti_const_dict[value]) if value in anti_const_dict.keys() else
            (fun, paras, value) for (fun, paras, value) in elem_value_list
        ]
        #########################
        for e, (fun, paras, value) in enumerate(elem_value_list):
            fun_sort = fluent_sorts[fun][-1]
            ## ???????
            if str(value) not in universe[fun_sort]:
                flag = True
                if int(value) < 0:
                    logger.info('ERROR: model has negative value \n %s' %
                                results)
                    exit(0)
                if fun_sort == 'Int' and int(value) > max_value:
                    #print 'Hello'
                    value_constraints.append("%s(%s)" % (fun, ','.join(paras)))
                elif fun_sort == 'Int':
                    #print 'C'
                    min_num = min([int(e) for e in universe['Int']])
                    universe[fun_sort] = [
                        str(e) for e in range(min_num, value + 1)
                    ]
                else:
                    #print 'D'
                    universe[fun_sort].append(str(value))

    if value_constraints != list():
        return False, value_constraints
    else:
        model = {
            "%s(%s)" % (fun, ','.join(paras)): str(value)
            for fun, paras, value in elem_value_list
        }

        lack_fluents = [
            fun for fun in context_operator.get_fluents() if fun not in fluents
        ]
        complete_part = __get_default_fluents(lack_fluents, fluent_sorts,
                                              universe)
        model.update(complete_part)
        """
			get default value for fluents who have parameters of Int sort
		"""
        default_value = get_default_value(elem_list, scope, const_dict,
                                          anti_const_dict)
        """ 
		"""
        return True, (universe, model, default_value)
Beispiel #8
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def genPreds(constraints=dict()):

    fluent_sorts = context_operator.get_functions_sorts()
    sort_consts = context_operator.get_sort_symbols_dict()
    functions = list(
        set(context_operator.get_fluents()) -
        set(context_operator.get_predicates()))
    predicates = context_operator.get_predicates()

    fun_parasorts_list = [(fluent, sorts[0:len(sorts) - 1])
                          for fluent, sorts in fluent_sorts.iteritems()
                          if fluent in functions]
    fun_valuesort_list = [(fluent, sorts[len(sorts) - 1])
                          for fluent, sorts in fluent_sorts.iteritems()
                          if fluent in functions]
    pred_parasorts_list = [(fluent, sorts[0:len(sorts) - 1])
                           for fluent, sorts in fluent_sorts.iteritems()
                           if fluent in predicates]
    sort_consts = {
        sort: consts + ['X' + str(e)]
        for e, (sort, consts) in enumerate(sort_consts.iteritems())
    }

    # generate terms like x+1 from template "@var @fun @const", where the first is variable,  the second is math function
    # the third is constant
    math_terms = __get_math_term_from_template('Int', math_functions,
                                               sort_consts, "@var @fun @const")
    # generate terms like x+x
    math_terms += __get_math_term_from_template('Int', math_functions,
                                                sort_consts, "@var @fun @var")
    # generate terms like cell(x,x)
    fluent_terms = __gen_fluent_term(fun_parasorts_list, sort_consts)
    #fluent_terms = __fluentTerm_filter_via_constraints(fluent_terms, constraints)

    # generate predicates like x>1, x>=1, x=1
    math_var_predicates = __gen_pred_from_template('Int', [], ['>', '>=', '='],
                                                   sort_consts,
                                                   "@var @rel @const")
    # generate predicates like x>x, x>=1, x=1
    math_var_predicates += __gen_pred_from_template('Int', [],
                                                    ['>', '>=', '='],
                                                    sort_consts,
                                                    "@var @rel @var")
    # generate predicates like x%2=1
    math_var_predicates += __gen_pred_from_template('Int', math_terms, ['='],
                                                    sort_consts,
                                                    "@fun @rel @const")
    # generate predicates like x+1 = x
    math_var_predicates += __gen_pred_from_template('Int', math_terms, ['='],
                                                    sort_consts,
                                                    "@fun @rel @var")

    # generate fluent predicates like turn(p1)
    fluent_predicates = __gen_fluent_pred(pred_parasorts_list, sort_consts)

    # generate fluent predicates by combining fluent terms with constants or variables under certain relation (e.g.,=,>=)
    const_funs = [
        fun + "()" for fun in context_operator.get_zero_fluents()
        if fun in context_operator.get_fluents() if fun not in predicates
    ]
    fluent_predicates += __gen_equal_pred_from_template(
        fun_valuesort_list, fluent_terms, sort_consts, "@fun @rel @const")
    fluent_predicates += __gen_equal_pred_from_template(
        fun_valuesort_list, fluent_terms, sort_consts, "@fun @rel @var")
    fluent_predicates += __gen_pred_from_template('Int', const_funs,
                                                  ['>=', '>'], sort_consts,
                                                  "@fun @rel @var")

    #print __gen_var_rel_pred(fun_valuesort_list, fluent_terms, ['='], "@left @rel @right")
    #print __gen_var_rel_pred(fun_valuesort_list, fluent_terms, ['>=', '>'], "@left @rel @right", ['Int'])
    #exit(0)

    #fluent_predicates += __two_var_limited(__del_zero(__gen_var_rel_pred(fun_valuesort_list, fluent_terms, ['='], "@left @rel @right")))
    ##print __two_var_limited(__del_zero(__gen_var_rel_pred(fun_valuesort_list, fluent_terms, ['='], "@left @rel @right")))
    #print '4',fluent_predicates
    #fluent_predicates += __two_var_limited(__del_zero(__gen_var_rel_pred(fun_valuesort_list, fluent_terms, ['>=', '>'], "@left @rel @right", ['Int'])))
    ##print  __gen_var_rel_pred(fun_valuesort_list, fluent_terms, ['>=', '>'], "@left @rel @right", ['Int'])
    #print '5',fluent_predicates

    math_var_predicates = [
        util_pred.find_var(pred) for pred in math_var_predicates
    ]
    fluent_predicates = [
        util_pred.find_var(pred) for pred in fluent_predicates
    ]
    #print '6',fluent_predicates
    math_var_predicates = [(var_list,
                            util_pred.find_var_sort(var_list,
                                                    sort_consts), pred)
                           for var_list, pred in math_var_predicates]
    fluent_predicates = [(var_list,
                          util_pred.find_var_sort(var_list, sort_consts), pred)
                         for var_list, pred in fluent_predicates]
    #print '7',fluent_predicates

    math_var_predicates = sum(
        [util_pred.devars(pred) for pred in math_var_predicates], [])
    fluent_predicates = sum(
        [util_pred.devars(pred) for pred in fluent_predicates], [])

    math_var_predicates += [(var_list, sorts, "! " + body)
                            for (var_list, sorts, body) in math_var_predicates]
    fluent_predicates += [(var_list, sorts, "! " + body)
                          for (var_list, sorts, body) in fluent_predicates]

    return math_var_predicates, fluent_predicates