def test_get_context_regex(self):
rule = Rule([{"voice": "-"}], [{"voice": "-"}], [{"cons": "+"}, {"voice": "-"}], [{"low": "+"}], obligatory=True)
left_context_feature_bundle_list = rule.left_context_feature_bundle_list
right_context_feature_bundle_list = rule.right_context_feature_bundle_list
left_context_regex = get_context_regex(left_context_feature_bundle_list)
right_context_regex = get_context_regex(right_context_feature_bundle_list)
print(left_context_regex)
print(right_context_regex)
def test_get_context_regex(self):
feature_bundle_list = FeatureBundleList([{'cons': '+'}], is_one_item_list=True)
regex_str = get_context_regex(feature_bundle_list)
print(regex_str)
regex = str2regexp(regex_str)
eval_word = regex.evalWordP("t")
print(eval_word)
assert eval_word
eval_word = regex.evalWordP("a")
print(eval_word)
assert not eval_word
eval_word = regex.evalWordP("tt")
print(eval_word)
assert not eval_word
regex1_str = "(a|b|c)"
regex2_str = "a+b+c"
regex_1 = str2regexp(regex1_str)
regex_2 = str2regexp(regex2_str)
comp = regex_1.compare(regex_2)
assert comp
def _get_left_context_dfa(self):
left_context_key = str(self.left_context_feature_bundle_list)
if left_context_key in left_context_dfas:
return left_context_dfas[left_context_key]
alphabet = self.alphabet
sigma_star_dfa = sigma_star_dfa_for_left_context
if self.left_context_feature_bundle_list:
context_regex = get_context_regex(
self.left_context_feature_bundle_list)
if configurations["LENGTHENING_FLAG"]:
context_regex = context_regex + "(Y)*"
left_context_dfa = str2regexp(context_regex,
sigma=alphabet).toDFA()
left_context_dfa_ignore_L = get_ignore_dfa(
alphabet | set(LEFT_BRACKETS), left_context_dfa,
set(LEFT_BRACKETS))
sigma_star_left_context_dfa = sigma_star_dfa.concat(
left_context_dfa_ignore_L)
else:
sigma_star_left_context_dfa = sigma_star_dfa
left_brackets_regex = "({})".format("+".join(LEFT_BRACKETS))
left_bracket_dfa = get_dfa_from_regex(left_brackets_regex,
sigma=LEFT_BRACKETS)
sigma_star_L = sigma_star_dfa.concat(left_bracket_dfa)
sigma_star_L_complement = ~sigma_star_L
subtraction_result = sigma_star_left_context_dfa & sigma_star_L_complement
L_sigma_star = left_bracket_dfa.concat(sigma_star_dfa)
p_iff_s_dfa = get_p_iff_s_dfa(subtraction_result, L_sigma_star)
p_iff_s_ignore_right_bracket = get_ignore_dfa(alphabet | set(BRACKETS),
p_iff_s_dfa,
set(RIGHT_BRACKETS))
left_context_dfa = p_iff_s_ignore_right_bracket
left_context_dfa = pyfst_from_dfa(left_context_dfa)
left_context_dfas[left_context_key] = left_context_dfa
return left_context_dfa
def get_context_dfa(context_features):
alphabet = set(SegmentTable().get_segments_symbols())
context_regex = get_context_regex(context_features)
context_dfa = str2regexp(context_regex, sigma=alphabet).toDFA()
return context_dfa