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