mirror of
https://github.com/explosion/spaCy.git
synced 2024-09-21 19:39:13 +03:00
117 lines
4.0 KiB
Python
117 lines
4.0 KiB
Python
# coding: utf-8
|
|
from __future__ import unicode_literals
|
|
|
|
import pytest
|
|
|
|
|
|
def test_en_tokenizer_handles_basic_contraction(en_tokenizer):
|
|
text = "don't giggle"
|
|
tokens = en_tokenizer(text)
|
|
assert len(tokens) == 3
|
|
assert tokens[1].text == "n't"
|
|
text = "i said don't!"
|
|
tokens = en_tokenizer(text)
|
|
assert len(tokens) == 5
|
|
assert tokens[4].text == "!"
|
|
|
|
|
|
@pytest.mark.parametrize('text', ["`ain't", '''"isn't''', "can't!"])
|
|
def test_en_tokenizer_handles_basic_contraction_punct(en_tokenizer, text):
|
|
tokens = en_tokenizer(text)
|
|
assert len(tokens) == 3
|
|
|
|
|
|
@pytest.mark.parametrize('text_poss,text', [("Robin's", "Robin"), ("Alexis's", "Alexis")])
|
|
def test_en_tokenizer_handles_poss_contraction(en_tokenizer, text_poss, text):
|
|
tokens = en_tokenizer(text_poss)
|
|
assert len(tokens) == 2
|
|
assert tokens[0].text == text
|
|
assert tokens[1].text == "'s"
|
|
|
|
|
|
@pytest.mark.parametrize('text', ["schools'", "Alexis'"])
|
|
def test_en_tokenizer_splits_trailing_apos(en_tokenizer, text):
|
|
tokens = en_tokenizer(text)
|
|
assert len(tokens) == 2
|
|
assert tokens[0].text == text.split("'")[0]
|
|
assert tokens[1].text == "'"
|
|
|
|
|
|
@pytest.mark.parametrize('text', ["'em", "nothin'", "ol'"])
|
|
def text_tokenizer_doesnt_split_apos_exc(en_tokenizer, text):
|
|
tokens = en_tokenizer(text)
|
|
assert len(tokens) == 1
|
|
assert tokens[0].text == text
|
|
|
|
|
|
@pytest.mark.parametrize('text', ["we'll", "You'll", "there'll"])
|
|
def test_en_tokenizer_handles_ll_contraction(en_tokenizer, text):
|
|
tokens = en_tokenizer(text)
|
|
assert len(tokens) == 2
|
|
assert tokens[0].text == text.split("'")[0]
|
|
assert tokens[1].text == "'ll"
|
|
assert tokens[1].lemma_ == "will"
|
|
|
|
|
|
@pytest.mark.parametrize('text_lower,text_title', [("can't", "Can't"), ("ain't", "Ain't")])
|
|
def test_en_tokenizer_handles_capitalization(en_tokenizer, text_lower, text_title):
|
|
tokens_lower = en_tokenizer(text_lower)
|
|
tokens_title = en_tokenizer(text_title)
|
|
assert tokens_title[0].text == tokens_lower[0].text.title()
|
|
assert tokens_lower[0].text == tokens_title[0].text.lower()
|
|
assert tokens_lower[1].text == tokens_title[1].text
|
|
|
|
|
|
@pytest.mark.parametrize('pron', ["I", "You", "He", "She", "It", "We", "They"])
|
|
@pytest.mark.parametrize('contraction', ["'ll", "'d"])
|
|
def test_en_tokenizer_keeps_title_case(en_tokenizer, pron, contraction):
|
|
tokens = en_tokenizer(pron + contraction)
|
|
assert tokens[0].text == pron
|
|
assert tokens[1].text == contraction
|
|
|
|
|
|
@pytest.mark.parametrize('exc', ["Ill", "ill", "Hell", "hell", "Well", "well"])
|
|
def test_en_tokenizer_excludes_ambiguous(en_tokenizer, exc):
|
|
tokens = en_tokenizer(exc)
|
|
assert len(tokens) == 1
|
|
|
|
|
|
@pytest.mark.parametrize('wo_punct,w_punct', [("We've", "``We've"), ("couldn't", "couldn't)")])
|
|
def test_en_tokenizer_splits_defined_punct(en_tokenizer, wo_punct, w_punct):
|
|
tokens = en_tokenizer(wo_punct)
|
|
assert len(tokens) == 2
|
|
tokens = en_tokenizer(w_punct)
|
|
assert len(tokens) == 3
|
|
|
|
|
|
@pytest.mark.parametrize('text', ["e.g.", "p.m.", "Jan.", "Dec.", "Inc."])
|
|
def test_en_tokenizer_handles_abbr(en_tokenizer, text):
|
|
tokens = en_tokenizer(text)
|
|
assert len(tokens) == 1
|
|
|
|
|
|
def test_en_tokenizer_handles_exc_in_text(en_tokenizer):
|
|
text = "It's mediocre i.e. bad."
|
|
tokens = en_tokenizer(text)
|
|
assert len(tokens) == 6
|
|
assert tokens[3].text == "i.e."
|
|
|
|
|
|
@pytest.mark.parametrize('text', ["1am", "12a.m.", "11p.m.", "4pm"])
|
|
def test_en_tokenizer_handles_times(en_tokenizer, text):
|
|
tokens = en_tokenizer(text)
|
|
assert len(tokens) == 2
|
|
assert tokens[1].lemma_ in ["a.m.", "p.m."]
|
|
|
|
|
|
@pytest.mark.parametrize('text,norms', [("I'm", ["i", "am"]), ("shan't", ["shall", "not"])])
|
|
def test_en_tokenizer_norm_exceptions(en_tokenizer, text, norms):
|
|
tokens = en_tokenizer(text)
|
|
assert [token.norm_ for token in tokens] == norms
|
|
|
|
|
|
@pytest.mark.parametrize('text,norm', [("radicalised", "radicalized"), ("cuz", "because")])
|
|
def test_en_lex_attrs_norm_exceptions(en_tokenizer, text, norm):
|
|
tokens = en_tokenizer(text)
|
|
assert tokens[0].norm_ == norm
|