def test_accent(text, accent):
# This checks for correct handling of feature fields containing commas as reported in #13
tagger = Tagger()
tokens = tagger.parseToNodeList(text)
# Skip if UnidicFeatures17 is used because it doesn't have 'atype' attribute
if tokens and isinstance(tokens[0].feature, UnidicFeatures17):
pytest.skip()
accent_ = [tok.feature.aType for tok in tokens]
assert accent_ == accent
def test_tokens(text, saved):
# testing the token objects is tricky, so instead just check surfaces
#TODO: maybe save serialized nodes to compare?
tagger = Tagger()
tokens = [str(tok) for tok in tagger.parseToNodeList(text)]
assert tokens == saved
def test_accent(text, accent):
# This checks for correct handling of feature fields containing commas as reported in #13
tagger = Tagger()
accent_ = [tok.feature.aType for tok in tagger.parseToNodeList(text)]
assert accent_ == accent
def test_pos(text, tags):
# There should be a pos property when using the default tagger
tagger = Tagger()
tags_ = [tok.pos for tok in tagger.parseToNodeList(text)]
assert tags == tags_
#!/usr/bin/env python
from fugashi import Tagger
tt = Tagger()
from collections import Counter
wc = Counter()
for line in open('wagahai.txt'):
for word in tt.parseToNodeList(line.strip()):
wc[word.surface] += 1
