def test_dumps(brexit):
corpus = Corpus(brexit['corpus_name'])
ids = {
't740982320711249920', 't731037753241112576', 't729363812802039814',
't733648546881277953', 't741216447595220992', 't705780723018539012',
't745930343627243520', 't730870826178904065', 't745691821477605377',
't730419966818783232', 't746069538693750784'
}
dump = corpus.dump_from_s_att('tweet_id', ids)
print(dump.concordance())
def test_count_items_subcorpora(germaparl):
# subcorpus
corpus = Corpus(germaparl['corpus_name'],
registry_path=germaparl['registry_path'])
cqp = corpus.start_cqp()
dump = corpus.dump_from_s_att("text_role", ["presidency"])
cqp.nqr_from_dump(dump.df, 'presidency')
cqp.nqr_activate(corpus.corpus_name, 'presidency')
items = ["Horst Seehofer", r"( CSU )", "CSU", "WES324", "CSU"]
queries = [formulate_cqp_query([item]) for item in items]
counts1 = corpus.counts.mwus(cqp, queries, strategy=1, fill_missing=False)
assert (sum(counts1['freq']) > 0)
counts2 = corpus.counts.mwus(cqp, queries, strategy=2, fill_missing=False)
counts3 = corpus.counts.mwus(cqp, queries, strategy=3, fill_missing=False)
assert (counts2.equals(counts3))
cqp.__kill__()