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			113 lines
		
	
	
		
			3.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			113 lines
		
	
	
		
			3.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
# coding: utf-8
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from __future__ import unicode_literals
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from ...vocab import Vocab
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from ...tokenizer import Tokenizer
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from ... import util
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import pytest
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def test_tokenizer_handles_no_word(tokenizer):
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    tokens = tokenizer("")
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    assert len(tokens) == 0
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@pytest.mark.parametrize('text', ["lorem"])
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def test_tokenizer_handles_single_word(tokenizer, text):
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    tokens = tokenizer(text)
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    assert tokens[0].text == text
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def test_tokenizer_handles_punct(tokenizer):
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    text = "Lorem, ipsum."
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    tokens = tokenizer(text)
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    assert len(tokens) == 4
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    assert tokens[0].text == "Lorem"
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    assert tokens[1].text == ","
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    assert tokens[2].text == "ipsum"
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    assert tokens[1].text != "Lorem"
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def test_tokenizer_handles_digits(tokenizer):
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    exceptions = ["hu", "bn"]
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    text = "Lorem ipsum: 1984."
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    tokens = tokenizer(text)
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    if tokens[0].lang_ not in exceptions:
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        assert len(tokens) == 5
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        assert tokens[0].text == "Lorem"
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        assert tokens[3].text == "1984"
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@pytest.mark.parametrize('text', ["google.com", "python.org", "spacy.io", "explosion.ai", "http://www.google.com"])
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def test_tokenizer_keep_urls(tokenizer, text):
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    tokens = tokenizer(text)
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    assert len(tokens) == 1
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@pytest.mark.parametrize('text', ["NASDAQ:GOOG"])
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def test_tokenizer_colons(tokenizer, text):
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    tokens = tokenizer(text)
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    assert len(tokens) == 3
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@pytest.mark.parametrize('text', ["hello123@example.com", "hi+there@gmail.it", "matt@explosion.ai"])
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def test_tokenizer_keeps_email(tokenizer, text):
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    tokens = tokenizer(text)
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    assert len(tokens) == 1
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def test_tokenizer_handles_long_text(tokenizer):
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    text = """Lorem ipsum dolor sit amet, consectetur adipiscing elit
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Cras egestas orci non porttitor maximus.
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Maecenas quis odio id dolor rhoncus dignissim. Curabitur sed velit at orci ultrices sagittis. Nulla commodo euismod arcu eget vulputate.
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Phasellus tincidunt, augue quis porta finibus, massa sapien consectetur augue, non lacinia enim nibh eget ipsum. Vestibulum in bibendum mauris.
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"Nullam porta fringilla enim, a dictum orci consequat in." Mauris nec malesuada justo."""
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    tokens = tokenizer(text)
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    assert len(tokens) > 5
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@pytest.mark.parametrize('file_name', ["sun.txt"])
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def test_tokenizer_handle_text_from_file(tokenizer, file_name):
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    loc = util.ensure_path(__file__).parent / file_name
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    text = loc.open('r', encoding='utf8').read()
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    assert len(text) != 0
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    tokens = tokenizer(text)
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    assert len(tokens) > 100
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def test_tokenizer_suspected_freeing_strings(tokenizer):
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    text1 = "Lorem dolor sit amet, consectetur adipiscing elit."
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    text2 = "Lorem ipsum dolor sit amet, consectetur adipiscing elit."
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    tokens1 = tokenizer(text1)
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    tokens2 = tokenizer(text2)
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    assert tokens1[0].text == "Lorem"
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    assert tokens2[0].text == "Lorem"
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@pytest.mark.parametrize('text,tokens', [
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    ("lorem", [{'orth': 'lo'}, {'orth': 'rem'}])])
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def test_tokenizer_add_special_case(tokenizer, text, tokens):
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    tokenizer.add_special_case(text, tokens)
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    doc = tokenizer(text)
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    assert doc[0].text == tokens[0]['orth']
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    assert doc[1].text == tokens[1]['orth']
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@pytest.mark.parametrize('text,tokens', [
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    ("lorem", [{'orth': 'lo', 'tag': 'NN'}, {'orth': 'rem'}])])
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def test_tokenizer_add_special_case_tag(text, tokens):
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    vocab = Vocab(tag_map={'NN': {'pos': 'NOUN'}})
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    tokenizer = Tokenizer(vocab, {}, None, None, None)
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    tokenizer.add_special_case(text, tokens)
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    doc = tokenizer(text)
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    assert doc[0].text == tokens[0]['orth']
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    assert doc[0].tag_ == tokens[0]['tag']
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    assert doc[0].pos_ == 'NOUN'
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    assert doc[1].text == tokens[1]['orth']
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