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3d2c308906
* Add Doc init from list of words and text Add an option to initialize a `Doc` from a text and list of words where the words may or may not include all whitespace tokens. If the text and words are mismatched, raise an error. * Fix error code * Remove all whitespace before aligning words/text * Move words/text init to util function * Update error message * Rename to get_words_and_spaces * Fix formatting
80 lines
2.7 KiB
Python
80 lines
2.7 KiB
Python
# coding: utf-8
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from __future__ import unicode_literals
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import pytest
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from spacy.vocab import Vocab
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from spacy.tokens import Doc
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from spacy.lemmatizer import Lemmatizer
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from spacy.lookups import Lookups
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from spacy import util
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@pytest.fixture
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def lemmatizer():
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lookups = Lookups()
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lookups.add_table("lemma_lookup", {"dogs": "dog", "boxen": "box", "mice": "mouse"})
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return Lemmatizer(lookups)
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@pytest.fixture
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def vocab(lemmatizer):
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return Vocab(lemmatizer=lemmatizer)
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def test_empty_doc(vocab):
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doc = Doc(vocab)
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assert len(doc) == 0
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def test_single_word(vocab):
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doc = Doc(vocab, words=["a"])
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assert doc.text == "a "
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doc = Doc(vocab, words=["a"], spaces=[False])
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assert doc.text == "a"
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def test_lookup_lemmatization(vocab):
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doc = Doc(vocab, words=["dogs", "dogses"])
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assert doc[0].text == "dogs"
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assert doc[0].lemma_ == "dog"
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assert doc[1].text == "dogses"
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assert doc[1].lemma_ == "dogses"
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def test_create_from_words_and_text(vocab):
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# no whitespace in words
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words = ["'", "dogs", "'", "run"]
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text = " 'dogs'\n\nrun "
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(words, spaces) = util.get_words_and_spaces(words, text)
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doc = Doc(vocab, words=words, spaces=spaces)
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assert [t.text for t in doc] == [" ", "'", "dogs", "'", "\n\n", "run", " "]
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assert [t.whitespace_ for t in doc] == ["", "", "", "", "", " ", ""]
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assert doc.text == text
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assert [t.text for t in doc if not t.text.isspace()] == [word for word in words if not word.isspace()]
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# partial whitespace in words
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words = [" ", "'", "dogs", "'", "\n\n", "run", " "]
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text = " 'dogs'\n\nrun "
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(words, spaces) = util.get_words_and_spaces(words, text)
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doc = Doc(vocab, words=words, spaces=spaces)
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assert [t.text for t in doc] == [" ", "'", "dogs", "'", "\n\n", "run", " "]
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assert [t.whitespace_ for t in doc] == ["", "", "", "", "", " ", ""]
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assert doc.text == text
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assert [t.text for t in doc if not t.text.isspace()] == [word for word in words if not word.isspace()]
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# non-standard whitespace tokens
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words = [" ", " ", "'", "dogs", "'", "\n\n", "run"]
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text = " 'dogs'\n\nrun "
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(words, spaces) = util.get_words_and_spaces(words, text)
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doc = Doc(vocab, words=words, spaces=spaces)
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assert [t.text for t in doc] == [" ", "'", "dogs", "'", "\n\n", "run", " "]
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assert [t.whitespace_ for t in doc] == ["", "", "", "", "", " ", ""]
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assert doc.text == text
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assert [t.text for t in doc if not t.text.isspace()] == [word for word in words if not word.isspace()]
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# mismatch between words and text
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with pytest.raises(ValueError):
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words = [" ", " ", "'", "dogs", "'", "\n\n", "run"]
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text = " 'dogs'\n\nrun "
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(words, spaces) = util.get_words_and_spaces(words + ["away"], text)
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