spaCy/spacy/tests/tokenizer/test_tokenizer.py

166 lines
4.4 KiB
Python

# coding: utf-8
from __future__ import unicode_literals
import pytest
import io
import pickle
import cloudpickle
import tempfile
@pytest.mark.xfail
def test_pickle(en_tokenizer):
file_ = io.BytesIO()
cloudpickle.dump(en_tokenizer, file_)
file_.seek(0)
loaded = pickle.load(file_)
assert loaded is not None
def test_no_word(en_tokenizer):
tokens = en_tokenizer(u'')
assert len(tokens) == 0
def test_single_word(en_tokenizer):
tokens = en_tokenizer(u'hello')
assert tokens[0].orth_ == 'hello'
def test_two_words(en_tokenizer):
tokens = en_tokenizer('hello possums')
assert len(tokens) == 2
assert tokens[0].orth_ != tokens[1].orth_
def test_punct(en_tokenizer):
tokens = en_tokenizer('hello, possums.')
assert len(tokens) == 4
assert tokens[0].orth_ == 'hello'
assert tokens[1].orth_ == ','
assert tokens[2].orth_ == 'possums'
assert tokens[1].orth_ != 'hello'
def test_digits(en_tokenizer):
tokens = en_tokenizer('The year: 1984.')
assert len(tokens) == 5
assert tokens[0].orth == en_tokenizer.vocab['The'].orth
assert tokens[3].orth == en_tokenizer.vocab['1984'].orth
def test_contraction(en_tokenizer):
tokens = en_tokenizer("don't giggle")
assert len(tokens) == 3
assert tokens[1].orth == en_tokenizer.vocab["n't"].orth
tokens = en_tokenizer("i said don't!")
assert len(tokens) == 5
assert tokens[4].orth == en_tokenizer.vocab['!'].orth
def test_contraction_punct(en_tokenizer):
tokens = en_tokenizer("(can't")
assert len(tokens) == 3
tokens = en_tokenizer("`ain't")
assert len(tokens) == 3
tokens = en_tokenizer('''"isn't''')
assert len(tokens) == 3
tokens = en_tokenizer("can't!")
assert len(tokens) == 3
def test_sample(en_tokenizer):
text = """Tributes pour in for late British Labour Party leader
Tributes poured in from around the world Thursday
to the late Labour Party leader John Smith, who died earlier from a massive
heart attack aged 55.
In Washington, the US State Department issued a statement regretting "the
untimely death" of the rapier-tongued Scottish barrister and parliamentarian.
"Mr. Smith, throughout his distinguished"""
tokens = en_tokenizer(text)
assert len(tokens) > 5
def test_cnts1(en_tokenizer):
text = u"""The U.S. Army likes Shock and Awe."""
tokens = en_tokenizer(text)
assert len(tokens) == 8
def test_cnts2(en_tokenizer):
text = u"""U.N. regulations are not a part of their concern."""
tokens = en_tokenizer(text)
assert len(tokens) == 10
def test_cnts3(en_tokenizer):
text = u"“Isn't it?”"
tokens = en_tokenizer(text)
words = [t.orth_ for t in tokens]
assert len(words) == 6
def test_cnts4(en_tokenizer):
text = u"""Yes! "I'd rather have a walk", Ms. Comble sighed. """
tokens = en_tokenizer(text)
words = [t.orth_ for t in tokens]
assert len(words) == 15
def test_cnts5(en_tokenizer):
text = """'Me too!', Mr. P. Delaware cried. """
tokens = en_tokenizer(text)
assert len(tokens) == 11
@pytest.mark.xfail
def test_mr(en_tokenizer):
text = """Today is Tuesday.Mr."""
tokens = en_tokenizer(text)
assert len(tokens) == 5
assert [w.orth_ for w in tokens] == ['Today', 'is', 'Tuesday', '.', 'Mr.']
def test_cnts6(en_tokenizer):
text = u'They ran about 10km.'
tokens = en_tokenizer(text)
words = [t.orth_ for t in tokens]
assert len(words) == 6
def test_bracket_period(en_tokenizer):
text = u'(And a 6a.m. run through Washington Park).'
tokens = en_tokenizer(text)
assert tokens[len(tokens) - 1].orth_ == u'.'
def test_ie(en_tokenizer):
text = u"It's mediocre i.e. bad."
tokens = en_tokenizer(text)
assert len(tokens) == 6
assert tokens[3].orth_ == "i.e."
def test_two_whitespace(en_tokenizer):
orig_str = u'there are 2 spaces after this '
tokens = en_tokenizer(orig_str)
assert repr(tokens.text_with_ws) == repr(orig_str)
@pytest.mark.xfail
def test_em_dash_infix(en_tokenizer):
# Re Issue #225
tokens = en_tokenizer('''Will this road take me to Puddleton?\u2014No, '''
'''you'll have to walk there.\u2014Ariel.''')
assert tokens[6].text == 'Puddleton'
assert tokens[7].text == '?'
assert tokens[8].text == '\u2014'
#def test_cnts7():
# text = 'But then the 6,000-year ice age came...'
# tokens = EN.tokenize(text)
# assert len(tokens) == 10