# Path: pycryptics/utils/transforms.py
# def valid_partial_answer(ans, constraints):
#     if len(ans) > sum(constraints.lengths):
#         return False
#     if not matches_pattern(ans, constraints.pattern):
#         return False
#     words = split_words(ans, constraints.lengths)
#     for i, word in enumerate(words):
#         if word not in INITIAL_NGRAMS[constraints.lengths[i]]:
#             return False
#     return True


from nltk.parse.chart import Tree
from pycryptics.utils.transforms import valid_partial_answer
            if (not isinstance(c, str)) and c._constraints is None:
                c.set_constraints(constraints)

    def solve(self):
        child_answers = [ClueTree.get_answers(c) for c in self]
        for i, s in enumerate(child_answers):
            if isinstance(s, dict):
                child_answers[i] = s.keys()
        if self.node.name == 'top':
            arg_sets = self.make_top_arg_sets(child_answers)
        else:
            arg_sets = self.make_arg_sets(child_answers)
        if self._answers is None:
            self._answers = {}
        for args in arg_sets:
            answers = self.node.apply_rule(arg_filter(args), self._constraints)
            # answers = RULES[self.node](arg_filter(args), self._constraints)
            if answers is None:
                answers = []
            for ans in answers:
                self._answers[ans] = args[:]

    def make_top_arg_sets(self, child_answers):
        target_len = sum(self._constraints.lengths)
        arg_sets = [([], 0, '')]
        for ans_list in child_answers:
            new_arg_sets = []
            for ans in ans_list:
                for s in arg_sets:
                    candidate = (s[0] + [ans], s[1] + len(ans), s[2] + ans)

# Path: pycryptics/utils/transforms.py
# def valid_partial_answer(ans, constraints):
#     if len(ans) > sum(constraints.lengths):
#         return False
#     if not matches_pattern(ans, constraints.pattern):
#         return False
#     words = split_words(ans, constraints.lengths)
#     for i, word in enumerate(words):
#         if word not in INITIAL_NGRAMS[constraints.lengths[i]]:
#             return False
#     return True


# Path: pycryptics/grammar/clue_tree.py
from nltk.parse.chart import Tree
from pycryptics.utils.transforms import valid_partial_answer

            if (not isinstance(c, str)) and c._constraints is None:
                c.set_constraints(constraints)

    def solve(self):
        child_answers = [ClueTree.get_answers(c) for c in self]
        for i, s in enumerate(child_answers):
            if isinstance(s, dict):
                child_answers[i] = s.keys()
        if self.node.name == 'top':
            arg_sets = self.make_top_arg_sets(child_answers)
        else:
            arg_sets = self.make_arg_sets(child_answers)
        if self._answers is None:
            self._answers = {}
        for args in arg_sets:
            answers = self.node.apply_rule(arg_filter(args), self._constraints)
            # answers = RULES[self.node](arg_filter(args), self._constraints)
            if answers is None:
                answers = []
            for ans in answers:
                self._answers[ans] = args[:]

    def make_top_arg_sets(self, child_answers):
        target_len = sum(self._constraints.lengths)
        arg_sets = [([], 0, '')]
        for ans_list in child_answers:
            new_arg_sets = []
            for ans in ans_list:
                for s in arg_sets:
                    candidate = (s[0] + [ans], s[1] + len(ans), s[2] + ans)

                    if valid_partial_answer(candidate[2], self._constraints):