def test_lexical_binary_two_coq_complex_type(self): semantic_index = SemanticIndex(None) semantic_rules = [SemanticRule(r'cat1', r'\P x R.P(x, R)', {'coq_type' : 'Entity -> Prop -> Prop'}), SemanticRule(r'cat2', r'\Q S T.Q(S, T)', {'coq_type' : 'Prop -> Entity -> Prop'}), SemanticRule(r'NP', r'\P Q x R S T.(Q(x, R) -> P(S, T))', {'rule' : 'lex'})] semantic_index.rules = semantic_rules sentence_str = r""" <sentence id="s1"> <tokens> <token base="base1" pos="pos1" surf="surf1" id="t1_1"/> <token base="base2" pos="pos2" surf="surf2" id="t1_2"/> </tokens> <ccg root="sp1-3"> <span terminal="t1_1" category="cat1" end="2" begin="1" id="sp1-1"/> <span terminal="t1_2" category="cat2" end="3" begin="2" id="sp1-2"/> <span child="sp1-1 sp1-2" rule="lex" category="NP" end="3" begin="1" id="sp1-3"/> </ccg> </sentence> """ sentence = etree.fromstring(sentence_str) ccg_tree = assign_semantics_to_ccg(sentence, semantic_index) coq_lib = get_coq_types(ccg_tree) expected_coq_lib = ['Parameter _base1 : Entity -> Prop -> Prop.', 'Parameter _base2 : Prop -> Entity -> Prop.'] self.assertEqual(expected_coq_lib, coq_lib) expression = [ccg_tree.get('sem')] coq_sig = convert_coq_signatures_to_nltk(coq_lib) nltk_lib = build_dynamic_library(expression, coq_sig) lib = merge_dynamic_libraries(coq_lib, nltk_lib, './coqlib.v', sentence) expected_lib = ["Parameter _base2 : Prop -> Entity -> Prop.", "Parameter _base1 : Entity -> Prop -> Prop."] self.assertCountEqual(expected_lib, lib)
def test_lexical_binary_two_types(self): semantic_index = SemanticIndex(None) semantic_rules = [SemanticRule(r'cat1', r'\P.P', {'coq_type' : 'Entity -> Prop'}), SemanticRule(r'cat2', r'\P.P', {'coq_type' : 'Entity -> Prop -> Prop'}), SemanticRule(r'NP', r'\P Q.(Q -> P)', {'rule' : 'lex'})] semantic_index.rules = semantic_rules sentence_str = r""" <sentence id="s1"> <tokens> <token base="base1" pos="pos1" surf="surf1" id="t1_1"/> <token base="base2" pos="pos2" surf="surf2" id="t1_2"/> </tokens> <ccg root="sp1-3"> <span terminal="t1_1" category="cat1" end="2" begin="1" id="sp1-1"/> <span terminal="t1_2" category="cat2" end="3" begin="2" id="sp1-2"/> <span child="sp1-1 sp1-2" rule="lex" category="NP" end="3" begin="1" id="sp1-3"/> </ccg> </sentence> """ sentence = etree.fromstring(sentence_str) ccg_tree = assign_semantics_to_ccg(sentence, semantic_index) coq_types = get_coq_types(ccg_tree) expected_coq_types = ["Parameter _base1 : Entity -> Prop.", "Parameter _base2 : Entity -> Prop -> Prop."] self.assertEqual(expected_coq_types, coq_types)
def test_lexical_binary_one_type(self): semantic_index = SemanticIndex(None) semantic_rules = [ SemanticRule(r'cat1', r'\P.P'), SemanticRule(r'cat2', r'\Q x.Q(x)', {'coq_type': 'Entity -> Prop'}), SemanticRule(r'NP', r'\P Q x.(P -> Q(x))', {'rule': 'lex'}) ] semantic_index.rules = semantic_rules sentence_str = r""" <sentence id="s1"> <tokens> <token base="base1" pos="pos1" surf="surf1" id="t1_1"/> <token base="base2" pos="pos2" surf="surf2" id="t1_2"/> </tokens> <ccg root="sp1-3"> <span terminal="t1_1" category="cat1" end="2" begin="1" id="sp1-1"/> <span terminal="t1_2" category="cat2" end="3" begin="2" id="sp1-2"/> <span child="sp1-1 sp1-2" rule="lex" category="NP" end="3" begin="1" id="sp1-3"/> </ccg> </sentence> """ sentence = etree.fromstring(sentence_str) ccg_tree = assign_semantics_to_ccg(sentence, semantic_index) coq_types = get_coq_types(ccg_tree) expected_coq_types = ["Parameter _base2 : Entity -> Prop."] self.assertEqual(expected_coq_types, coq_types)
def test_lexical_binary_two_coq_complex_type(self): semantic_index = SemanticIndex(None) semantic_rules = [ SemanticRule(r'cat1', r'\P x R.P(x, R)', {'coq_type': 'Entity -> Prop -> Prop'}), SemanticRule(r'cat2', r'\Q S T.Q(S, T)', {'coq_type': 'Prop -> Entity -> Prop'}), SemanticRule(r'NP', r'\P Q x R S T.(Q(x, R) -> P(S, T))', {'rule': 'lex'}) ] semantic_index.rules = semantic_rules sentence_str = r""" <sentence id="s1"> <tokens> <token base="base1" pos="pos1" surf="surf1" id="t1_1"/> <token base="base2" pos="pos2" surf="surf2" id="t1_2"/> </tokens> <ccg root="sp1-3"> <span terminal="t1_1" category="cat1" end="2" begin="1" id="sp1-1"/> <span terminal="t1_2" category="cat2" end="3" begin="2" id="sp1-2"/> <span child="sp1-1 sp1-2" rule="lex" category="NP" end="3" begin="1" id="sp1-3"/> </ccg> </sentence> """ sentence = etree.fromstring(sentence_str) ccg_tree = assign_semantics_to_ccg(sentence, semantic_index) coq_lib = get_coq_types(ccg_tree) expected_coq_lib = [ 'Parameter _base1 : Entity -> Prop -> Prop.', 'Parameter _base2 : Prop -> Entity -> Prop.' ] self.assertEqual(expected_coq_lib, coq_lib) expression = [ccg_tree.get('sem')] coq_sig = convert_coq_signatures_to_nltk(coq_lib) nltk_lib, _ = build_dynamic_library(expression, coq_sig) lib = merge_dynamic_libraries(coq_sig, nltk_lib, './coqlib.v', sentence) expected_lib = [ "Parameter _base2 : Prop -> (Entity -> Prop).", "Parameter _base1 : Entity -> (Prop -> Prop)." ] self.assertCountEqual(expected_lib, lib)