2018-01-16 20:46:13 +00:00
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# coding: utf-8
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from __future__ import unicode_literals
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import re
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2018-02-14 11:10:51 +00:00
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from ...matcher2 import Matcher
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2018-01-16 20:46:13 +00:00
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import pytest
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pattern1 = [{'ORTH':'A','OP':'1'},{'ORTH':'A','OP':'*'}]
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pattern2 = [{'ORTH':'A','OP':'*'},{'ORTH':'A','OP':'1'}]
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pattern3 = [{'ORTH':'A','OP':'1'},{'ORTH':'A','OP':'1'}]
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pattern4 = [{'ORTH':'B','OP':'1'},{'ORTH':'A','OP':'*'},{'ORTH':'B','OP':'1'}]
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pattern5 = [{'ORTH':'B','OP':'*'},{'ORTH':'A','OP':'*'},{'ORTH':'B','OP':'1'}]
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re_pattern1 = 'AA*'
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re_pattern2 = 'A*A'
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re_pattern3 = 'AA'
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re_pattern4 = 'BA*B'
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re_pattern5 = 'B*A*B'
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@pytest.fixture
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def text():
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return "(ABBAAAAAB)."
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@pytest.fixture
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def doc(en_tokenizer,text):
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doc = en_tokenizer(' '.join(text))
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return doc
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2018-02-14 11:10:51 +00:00
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@pytest.mark.xfail
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2018-01-16 20:46:13 +00:00
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@pytest.mark.parametrize('pattern,re_pattern',[
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(pattern1,re_pattern1),
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(pattern2,re_pattern2),
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(pattern3,re_pattern3),
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(pattern4,re_pattern4),
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(pattern5,re_pattern5)])
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def test_greedy_matching(doc,text,pattern,re_pattern):
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"""
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Test that the greedy matching behavior of the * op
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is consistant with other re implementations
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"""
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matcher = Matcher(doc.vocab)
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matcher.add(re_pattern,None,pattern)
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matches = matcher(doc)
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re_matches = [m.span() for m in re.finditer(re_pattern,text)]
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for match,re_match in zip(matches,re_matches):
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assert match[1:]==re_match
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2018-02-14 11:10:51 +00:00
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@pytest.mark.xfail
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2018-01-16 20:46:13 +00:00
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@pytest.mark.parametrize('pattern,re_pattern',[
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(pattern1,re_pattern1),
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(pattern2,re_pattern2),
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(pattern3,re_pattern3),
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(pattern4,re_pattern4),
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(pattern5,re_pattern5)])
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def test_match_consuming(doc,text,pattern,re_pattern):
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"""
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Test that matcher.__call__ consumes tokens on a match
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similar to re.findall
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"""
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matcher = Matcher(doc.vocab)
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matcher.add(re_pattern,None,pattern)
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matches = matcher(doc)
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re_matches = [m.span() for m in re.finditer(re_pattern,text)]
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2018-02-14 11:10:51 +00:00
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assert len(matches)==len(re_matches)
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