def test_dump_from_query_lib(brexit):
corpus = Corpus(brexit['corpus_name'], lib_path=brexit['lib_path'])
df_dump = corpus.dump_from_query(query=brexit['query_lib'],
s_query=brexit['s_query'],
match_strategy='longest')
assert (type(df_dump) == pd.DataFrame)
assert (df_dump.shape[0] > 99)
def test_dump_from_query_1(brexit):
corpus = Corpus(brexit['corpus_name'])
df_dump = corpus.dump_from_query(
query='[lemma="angela"] @1[lemma="merkel"]',
anchors=[1],
match_strategy='longest')
assert (type(df_dump) == pd.DataFrame)
assert (df_dump.shape[0] > 99)
def test_keywords_from_dump(germaparl):
name = 'test_keywords'
# get some regions
corpus = Corpus(corpus_name=germaparl['corpus_name'],
registry_path=germaparl['registry_path'])
df_1 = corpus.dump_from_query('"und" expand to s', name=name)
# will show keywords for df_1
keywords = Keywords(corpus, df_dump=df_1, p_query="lemma")
line_1 = keywords.show(order='log_likelihood', min_freq=10)
assert ('CDU' in line_1.index)
