def test_argmin():
corpus = Corpus(
corpus_name="BREXIT_V20190522",
registry_path="/home/ausgerechnet/corpora/cwb/registry/",
lib_path=
"/home/ausgerechnet/projects/spheroscope/app/instance-stable/lib/",
s_meta="tweet_id")
query_path = "/home/ausgerechnet/projects/cwb-ccc/tests/gold/query-example.json"
with open(query_path, "rt") as f:
query = json.loads(f.read())
query_result = corpus.query(query['query'],
context=None,
s_break='tweet',
match_strategy='longest')
concordance = corpus.concordance(query_result)
result = concordance.show_argmin(query['anchors'], query['regions'])
print(result.keys())
print(result['nr_matches'])
from pandas import DataFrame
print(DataFrame(result['matches'][0]['df']))
from ccc import Corpus, Corpora
from pandas import read_csv
import json
from .conftest import LOCAL
import pytest
corpus = Corpus(corpus_name="SZ_2009_14")
query = r'[lemma="Angela"]? [lemma="Merkel"] [word="\("] [lemma="CDU"] [word="\)"]'
result = corpus.query(query)
concordance = corpus.concordance(result)
print(concordance.breakdown)
print(concordance.size)
print(concordance.meta.head())
print(concordance.lines([567792]))
corpus = Corpus(corpus_name="SZ_2009_14")
query = r'@0[lemma="Angela"]? @1[lemma="Merkel"] [word="\("] @2[lemma="CDU"] [word="\)"]'
result = corpus.query(query)
concordance = corpus.concordance(result)
print(concordance.breakdown)
print(concordance.size)
print(concordance.lines([567792]))
corpus = Corpus(corpus_name="SZ_2009_14")
query = '[lemma="Angela"]? [lemma="Merkel"] [word="\\("] [lemma="CDU"] [word="\\)"]'
