def test_grammar():
rules = Rules(A="B C | D E", B="E | a | b c")
lexicon = Lexicon(Article="the | a | an", Pronoun="i | you | he")
grammar = Grammar("Simplegram", rules, lexicon)
assert grammar.rewrites_for('A') == [['B', 'C'], ['D', 'E']]
assert grammar.isa('the', 'Article')
def test_grammar():
rules = Rules(A="B C | D E", B="E | a | b c")
lexicon = Lexicon(Article="the | a | an", Pronoun="i | you | he")
grammar = Grammar("Simplegram", rules, lexicon)
assert grammar.rewrites_for('A') == [['B', 'C'], ['D', 'E']]
assert grammar.isa('the', 'Article')
grammar = nlp.E_Chomsky
for rule in grammar.cnf_rules():
assert len(rule) == 3
def test_generation():
lexicon = Lexicon(Article="the | a | an", Pronoun="i | you | he")
rules = Rules(S="Article | More | Pronoun",
More="Article Pronoun | Pronoun Pronoun")
grammar = Grammar("Simplegram", rules, lexicon)
sentence = grammar.generate_random('S')
for token in sentence.split():
found = False
for non_terminal, terminals in grammar.lexicon.items():
if token in terminals:
found = True
assert found
def test_generation():
lexicon = Lexicon(Article="the | a | an",
Pronoun="i | you | he")
rules = Rules(
S="Article | More | Pronoun",
More="Article Pronoun | Pronoun Pronoun"
)
grammar = Grammar("Simplegram", rules, lexicon)
sentence = grammar.generate_random('S')
for token in sentence.split():
found = False
for non_terminal, terminals in grammar.lexicon.items():
if token in terminals:
found = True
assert found