def test_stanford_enable_disable():
was_enabled = is_stanford_enabled()
try:
disable_stanford()
assert_false(is_stanford_enabled())
enable_stanford()
assert_true(is_stanford_enabled())
finally:
if was_enabled:
enable_stanford()
else:
disable_stanford()
def get_verbs(text, lowercase=False, lemmatize=False) -> Generator:
"""
Get only verbs from text using Stanford libraries.
:param text:
:param lowercase:
:param lemmatize:
:return:
"""
if not is_stanford_enabled():
raise RuntimeError(
"USE_STANFORD is set to False. No Stanford functionality available."
)
# Get tokens and tag
tokens = get_tokens_list(text)
pos = STANFORD_TAGGER.tag(tokens)
verb_index = [i for i in range(len(pos)) if pos[i][1].startswith("V")]
if lemmatize:
lemmas = get_lemma_list(text, lowercase=lowercase)
for j in verb_index:
yield lemmas[j]
else:
for j in verb_index:
yield tokens[j].lower() if lowercase else tokens[j]
def get_tokens(text, lowercase=False, stopword=False) -> Generator:
"""
Get token generator from text using Stanford libraries.
:param text:
:param lowercase:
:param stopword:
:return:
"""
if not is_stanford_enabled():
raise RuntimeError(
"USE_STANFORD is set to False. No Stanford functionality available."
)
if stopword:
for token in STANFORD_TOKENIZER.tokenize(text):
if token.lower() in STOPWORDS:
continue
if lowercase:
yield token.lower()
else:
yield token
else:
for token in STANFORD_TOKENIZER.tokenize(text):
if lowercase:
yield token.lower()
else:
yield token
def get_tokens_list(text, lowercase=False, stopword=False) -> List:
"""
Get token list form text using Stanford libraries.
:param text:
:param lowercase:
:param stopword:
:return:
"""
if not is_stanford_enabled():
raise RuntimeError("USE_STANFORD is set to False. No Stanford functionality available.")
return list(get_tokens(text, lowercase=lowercase, stopword=stopword))
def check_stanford():
if not is_stanford_enabled():
raise RuntimeError(
"USE_STANFORD is set to False. No Stanford functionality available."
)
if not STANFORD_TOKENIZER:
raise RuntimeError("USE_STANFORD is set to True."
" But default POS tagger jar file is not found."
" No Stanford functionality available.")
if not STANFORD_TAGGER:
raise RuntimeError("USE_STANFORD is set to True."
" But default tagger model file is not found."
" No Stanford functionality available.")
def test_stanford_method():
"""
get_tokens() should throw an exception if Stanford is disabled.
:return:
"""
was_enabled = is_stanford_enabled()
try:
disable_stanford()
from lexnlp.nlp.en.stanford import get_tokens_list
with pytest.raises(RuntimeError):
_ = get_tokens_list("This should throw an exception.")
finally:
if was_enabled:
enable_stanford()
Setup environment pre-tests
:return:
"""
# enable_stanford()
def teardown_module():
"""
Setup environment post-tests.
:return:
"""
# disable_stanford()
@with_setup(setup_module, teardown_module)
@pytest.mark.skipif(not is_stanford_enabled(), reason="Stanford is disabled.")
def test_stanford_tokens():
from lexnlp.nlp.en.stanford import get_tokens_list
lexnlp_tests.test_extraction_func_on_test_data(get_tokens_list)
@with_setup(setup_module, teardown_module)
@pytest.mark.skipif(not is_stanford_enabled(), reason="Stanford is disabled.")
def test_stanford_tokens_lc():
from lexnlp.nlp.en.stanford import get_tokens_list
lexnlp_tests.test_extraction_func_on_test_data(get_tokens_list,
lowercase=True)
@with_setup(setup_module, teardown_module)
@pytest.mark.skipif(not is_stanford_enabled(), reason="Stanford is disabled.")
