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https://github.com/explosion/spaCy.git
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b6e991440c
* Auto-format tests with black * Add flake8 config * Tidy up and remove unused imports * Fix redefinitions of test functions * Replace orths_and_spaces with words and spaces * Fix compatibility with pytest 4.0 * xfail test for now Test was previously overwritten by following test due to naming conflict, so failure wasn't reported * Unfail passing test * Only use fixture via arguments Fixes pytest 4.0 compatibility
127 lines
4.0 KiB
Python
127 lines
4.0 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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import pytest
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def test_en_tokenizer_handles_basic_contraction(en_tokenizer):
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text = "don't giggle"
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tokens = en_tokenizer(text)
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assert len(tokens) == 3
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assert tokens[1].text == "n't"
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text = "i said don't!"
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tokens = en_tokenizer(text)
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assert len(tokens) == 5
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assert tokens[4].text == "!"
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@pytest.mark.parametrize("text", ["`ain't", """"isn't""", "can't!"])
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def test_en_tokenizer_handles_basic_contraction_punct(en_tokenizer, text):
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tokens = en_tokenizer(text)
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assert len(tokens) == 3
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@pytest.mark.parametrize(
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"text_poss,text", [("Robin's", "Robin"), ("Alexis's", "Alexis")]
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)
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def test_en_tokenizer_handles_poss_contraction(en_tokenizer, text_poss, text):
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tokens = en_tokenizer(text_poss)
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assert len(tokens) == 2
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assert tokens[0].text == text
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assert tokens[1].text == "'s"
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@pytest.mark.parametrize("text", ["schools'", "Alexis'"])
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def test_en_tokenizer_splits_trailing_apos(en_tokenizer, text):
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tokens = en_tokenizer(text)
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assert len(tokens) == 2
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assert tokens[0].text == text.split("'")[0]
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assert tokens[1].text == "'"
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@pytest.mark.parametrize("text", ["'em", "nothin'", "ol'"])
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def test_en_tokenizer_doesnt_split_apos_exc(en_tokenizer, text):
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tokens = en_tokenizer(text)
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assert len(tokens) == 1
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assert tokens[0].text == text
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@pytest.mark.parametrize("text", ["we'll", "You'll", "there'll"])
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def test_en_tokenizer_handles_ll_contraction(en_tokenizer, text):
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tokens = en_tokenizer(text)
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assert len(tokens) == 2
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assert tokens[0].text == text.split("'")[0]
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assert tokens[1].text == "'ll"
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assert tokens[1].lemma_ == "will"
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@pytest.mark.parametrize(
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"text_lower,text_title", [("can't", "Can't"), ("ain't", "Ain't")]
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)
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def test_en_tokenizer_handles_capitalization(en_tokenizer, text_lower, text_title):
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tokens_lower = en_tokenizer(text_lower)
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tokens_title = en_tokenizer(text_title)
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assert tokens_title[0].text == tokens_lower[0].text.title()
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assert tokens_lower[0].text == tokens_title[0].text.lower()
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assert tokens_lower[1].text == tokens_title[1].text
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@pytest.mark.parametrize("pron", ["I", "You", "He", "She", "It", "We", "They"])
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@pytest.mark.parametrize("contraction", ["'ll", "'d"])
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def test_en_tokenizer_keeps_title_case(en_tokenizer, pron, contraction):
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tokens = en_tokenizer(pron + contraction)
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assert tokens[0].text == pron
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assert tokens[1].text == contraction
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@pytest.mark.parametrize("exc", ["Ill", "ill", "Hell", "hell", "Well", "well"])
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def test_en_tokenizer_excludes_ambiguous(en_tokenizer, exc):
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tokens = en_tokenizer(exc)
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assert len(tokens) == 1
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@pytest.mark.parametrize(
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"wo_punct,w_punct", [("We've", "``We've"), ("couldn't", "couldn't)")]
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)
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def test_en_tokenizer_splits_defined_punct(en_tokenizer, wo_punct, w_punct):
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tokens = en_tokenizer(wo_punct)
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assert len(tokens) == 2
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tokens = en_tokenizer(w_punct)
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assert len(tokens) == 3
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@pytest.mark.parametrize("text", ["e.g.", "p.m.", "Jan.", "Dec.", "Inc."])
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def test_en_tokenizer_handles_abbr(en_tokenizer, text):
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tokens = en_tokenizer(text)
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assert len(tokens) == 1
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def test_en_tokenizer_handles_exc_in_text(en_tokenizer):
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text = "It's mediocre i.e. bad."
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tokens = en_tokenizer(text)
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assert len(tokens) == 6
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assert tokens[3].text == "i.e."
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@pytest.mark.parametrize("text", ["1am", "12a.m.", "11p.m.", "4pm"])
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def test_en_tokenizer_handles_times(en_tokenizer, text):
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tokens = en_tokenizer(text)
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assert len(tokens) == 2
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assert tokens[1].lemma_ in ["a.m.", "p.m."]
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@pytest.mark.parametrize(
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"text,norms", [("I'm", ["i", "am"]), ("shan't", ["shall", "not"])]
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)
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def test_en_tokenizer_norm_exceptions(en_tokenizer, text, norms):
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tokens = en_tokenizer(text)
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assert [token.norm_ for token in tokens] == norms
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@pytest.mark.parametrize(
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"text,norm", [("radicalised", "radicalized"), ("cuz", "because")]
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)
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def test_en_lex_attrs_norm_exceptions(en_tokenizer, text, norm):
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tokens = en_tokenizer(text)
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assert tokens[0].norm_ == norm
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