# Path: pycryptics/utils/language.py
# def semantic_similarity(word1, word2):
#     words1 = word1.split('_')
#     words2 = word2.split('_')
#     if fast_semantic_similarity(word1, word2) == 1:
#         return 1
#     max_p = 0
#     word1_sim = set([])
#     for s1 in wn.synsets(word1):
#         word1_sim.add(s1)
#         word1_sim.update(s1.similar_tos())
#         # for st1 in [s1] + s1.similar_tos():
#         #     word1_sim.append(st1)
# 
#     word2_sim = set([])
#     for s2 in wn.synsets(word2):
#         word2_sim.add(s2)
#         word2_sim.update(s2.similar_tos())
# 
#     for st1 in word1_sim:
#         for st2 in word2_sim:
#             p = wn.wup_similarity(st1, st2)
#             if p == 1:
#                 return p
#             if p > max_p:
#                 max_p = p
#     if len(words1) > 1 or len(words2) > 1:
#         sub_similarity = .9 * semantic_similarity(words1[-1], words2[-1])
#     else:
#         sub_similarity = 0
#     return max(max_p, sub_similarity)
# 
# Path: pycryptics/grammar/clue_parse.py
# def generate_clues(constraints):
#     g = generate_grammar(constraints.phrases)
#     parser = parse.EarleyChartParser(g, chart_class=MemoChart)
#     clues = parser.nbest_parse(constraints.phrases)
#     for c in clues:
#         c.set_constraints(constraints)
#     return clues
# 
# Path: pycryptics/utils/phrasings.py
# def phrasings(remaining):
#     if len(remaining) <= 1:
#         return [remaining]
#     else:
#         new_active_set = []
#         # for i in range(len(remaining)):
#         for i in range(min(len(remaining), 3)):
#             new_phrase = '_'.join(remaining[:i + 1])
#             new_remaining = remaining[i + 1:]
#             for new_s in phrasings(new_remaining):
#                 new_active_set.append([new_phrase] + new_s)
#         return new_active_set
# 
# Path: pycryptics/utils/synonyms.py
# SYNONYMS = msgpack.load(f, use_list=False)
# 
# Path: pycryptics/grammar/clue_tree.py
# class ClueUnsolvableError(Exception):
#     pass


from pycryptics.utils.language import semantic_similarity
from pycryptics.grammar.clue_parse import generate_clues
from pycryptics.utils.phrasings import phrasings
from pycryptics.utils.synonyms import SYNONYMS
from pycryptics.grammar.clue_tree import ClueUnsolvableError
from collections import namedtuple
import re
from __future__ import division


Constraints = namedtuple('Constraints', 'phrases lengths pattern known_answer')

class AnnotatedAnswer:
    def __init__(self, ans, clue):
        self.answer = ans.encode('ascii', 'replace')
        self.clue = clue
        d_tree = clue[[x.node.name for x in clue].index('d')]
        self.definition = d_tree[0]
        self.similarity = semantic_similarity(self.answer, self.definition)

    def __cmp__(self, other):
        return cmp((self.similarity, self.answer), (other.similarity, other.answer))

    def __str__(self):
        return str([self.answer, self.similarity, self.clue.derivation(self.answer)])

    def derivation(self):
        return "{:.0%}: ".format(self.similarity) + self.clue.derivation(self.answer)

    def long_derivation(self):
        return self.clue.long_derivation(self.answer, self.similarity)


class PatternAnswer(AnnotatedAnswer):
    def __init__(self, ans, phrasing):
        self.answer = ans

# Path: pycryptics/utils/language.py
# def semantic_similarity(word1, word2):
#     words1 = word1.split('_')
#     words2 = word2.split('_')
#     if fast_semantic_similarity(word1, word2) == 1:
#         return 1
#     max_p = 0
#     word1_sim = set([])
#     for s1 in wn.synsets(word1):
#         word1_sim.add(s1)
#         word1_sim.update(s1.similar_tos())
#         # for st1 in [s1] + s1.similar_tos():
#         #     word1_sim.append(st1)
# 
#     word2_sim = set([])
#     for s2 in wn.synsets(word2):
#         word2_sim.add(s2)
#         word2_sim.update(s2.similar_tos())
# 
#     for st1 in word1_sim:
#         for st2 in word2_sim:
#             p = wn.wup_similarity(st1, st2)
#             if p == 1:
#                 return p
#             if p > max_p:
#                 max_p = p
#     if len(words1) > 1 or len(words2) > 1:
#         sub_similarity = .9 * semantic_similarity(words1[-1], words2[-1])
#     else:
#         sub_similarity = 0
#     return max(max_p, sub_similarity)
# 
# Path: pycryptics/grammar/clue_parse.py
# def generate_clues(constraints):
#     g = generate_grammar(constraints.phrases)
#     parser = parse.EarleyChartParser(g, chart_class=MemoChart)
#     clues = parser.nbest_parse(constraints.phrases)
#     for c in clues:
#         c.set_constraints(constraints)
#     return clues
# 
# Path: pycryptics/utils/phrasings.py
# def phrasings(remaining):
#     if len(remaining) <= 1:
#         return [remaining]
#     else:
#         new_active_set = []
#         # for i in range(len(remaining)):
#         for i in range(min(len(remaining), 3)):
#             new_phrase = '_'.join(remaining[:i + 1])
#             new_remaining = remaining[i + 1:]
#             for new_s in phrasings(new_remaining):
#                 new_active_set.append([new_phrase] + new_s)
#         return new_active_set
# 
# Path: pycryptics/utils/synonyms.py
# SYNONYMS = msgpack.load(f, use_list=False)
# 
# Path: pycryptics/grammar/clue_tree.py
# class ClueUnsolvableError(Exception):
#     pass


# Path: pycryptics/solve_clue.py
from pycryptics.utils.language import semantic_similarity
from pycryptics.grammar.clue_parse import generate_clues
from pycryptics.utils.phrasings import phrasings
from pycryptics.utils.synonyms import SYNONYMS
from pycryptics.grammar.clue_tree import ClueUnsolvableError
from collections import namedtuple
import re

from __future__ import division


Constraints = namedtuple('Constraints', 'phrases lengths pattern known_answer')

class AnnotatedAnswer:
    def __init__(self, ans, clue):
        self.answer = ans.encode('ascii', 'replace')
        self.clue = clue
        d_tree = clue[[x.node.name for x in clue].index('d')]
        self.definition = d_tree[0]
        self.similarity = semantic_similarity(self.answer, self.definition)

    def __cmp__(self, other):
        return cmp((self.similarity, self.answer), (other.similarity, other.answer))

    def __str__(self):
        return str([self.answer, self.similarity, self.clue.derivation(self.answer)])

    def derivation(self):
        return "{:.0%}: ".format(self.similarity) + self.clue.derivation(self.answer)

    def long_derivation(self):
        return self.clue.long_derivation(self.answer, self.similarity)


class PatternAnswer(AnnotatedAnswer):
    def __init__(self, ans, phrasing):
        self.answer = ans

        sim0 = semantic_similarity(ans, phrasing[0])