# coding: utf-8 from __future__ import unicode_literals from ..matcher import Matcher, PhraseMatcher from .util import get_doc import pytest @pytest.fixture def matcher(en_vocab): rules = { 'JS': [[{'ORTH': 'JavaScript'}]], 'GoogleNow': [[{'ORTH': 'Google'}, {'ORTH': 'Now'}]], 'Java': [[{'LOWER': 'java'}]] } matcher = Matcher(en_vocab) for key, patterns in rules.items(): matcher.add(key, None, *patterns) return matcher def test_matcher_from_api_docs(en_vocab): matcher = Matcher(en_vocab) pattern = [{'ORTH': 'test'}] assert len(matcher) == 0 matcher.add('Rule', None, pattern) assert len(matcher) == 1 matcher.remove('Rule') assert 'Rule' not in matcher matcher.add('Rule', None, pattern) assert 'Rule' in matcher on_match, patterns = matcher.get('Rule') assert len(patterns[0]) def test_matcher_from_usage_docs(en_vocab): text = "Wow 😀 This is really cool! 😂 😂" doc = get_doc(en_vocab, words=text.split(' ')) pos_emoji = [u'😀', u'😃', u'😂', u'🤣', u'😊', u'😍'] pos_patterns = [[{'ORTH': emoji}] for emoji in pos_emoji] def label_sentiment(matcher, doc, i, matches): match_id, start, end = matches[i] if doc.vocab.strings[match_id] == 'HAPPY': doc.sentiment += 0.1 span = doc[start : end] token = span.merge() token.vocab[token.text].norm_ = 'happy emoji' matcher = Matcher(en_vocab) matcher.add('HAPPY', label_sentiment, *pos_patterns) matches = matcher(doc) assert doc.sentiment != 0 assert doc[1].norm_ == 'happy emoji' @pytest.mark.parametrize('words', [["Some", "words"]]) def test_matcher_init(en_vocab, words): matcher = Matcher(en_vocab) doc = get_doc(en_vocab, words) assert len(matcher) == 0 assert matcher(doc) == [] def test_matcher_no_match(matcher): words = ["I", "like", "cheese", "."] doc = get_doc(matcher.vocab, words) assert matcher(doc) == [] def test_matcher_compile(matcher): assert len(matcher) == 3 def test_matcher_match_start(matcher): words = ["JavaScript", "is", "good"] doc = get_doc(matcher.vocab, words) assert matcher(doc) == [(matcher.vocab.strings['JS'], 0, 1)] def test_matcher_match_end(matcher): words = ["I", "like", "java"] doc = get_doc(matcher.vocab, words) assert matcher(doc) == [(doc.vocab.strings['Java'], 2, 3)] def test_matcher_match_middle(matcher): words = ["I", "like", "Google", "Now", "best"] doc = get_doc(matcher.vocab, words) assert matcher(doc) == [(doc.vocab.strings['GoogleNow'], 2, 4)] def test_matcher_match_multi(matcher): words = ["I", "like", "Google", "Now", "and", "java", "best"] doc = get_doc(matcher.vocab, words) assert matcher(doc) == [(doc.vocab.strings['GoogleNow'], 2, 4), (doc.vocab.strings['Java'], 5, 6)] def test_matcher_phrase_matcher(en_vocab): words = ["Google", "Now"] doc = get_doc(en_vocab, words) matcher = PhraseMatcher(en_vocab) matcher.add('COMPANY', None, doc) words = ["I", "like", "Google", "Now", "best"] doc = get_doc(en_vocab, words) assert len(matcher(doc)) == 1 def test_matcher_match_zero(matcher): words1 = 'He said , " some words " ...'.split() words2 = 'He said , " some three words " ...'.split() pattern1 = [{'ORTH': '"'}, {'OP': '!', 'IS_PUNCT': True}, {'OP': '!', 'IS_PUNCT': True}, {'ORTH': '"'}] pattern2 = [{'ORTH': '"'}, {'IS_PUNCT': True}, {'IS_PUNCT': True}, {'IS_PUNCT': True}, {'ORTH': '"'}] matcher.add('Quote', None, pattern1) doc = get_doc(matcher.vocab, words1) assert len(matcher(doc)) == 1 doc = get_doc(matcher.vocab, words2) assert len(matcher(doc)) == 0 matcher.add('Quote', None, pattern2) assert len(matcher(doc)) == 0 def test_matcher_match_zero_plus(matcher): words = 'He said , " some words " ...'.split() pattern = [{'ORTH': '"'}, {'OP': '*', 'IS_PUNCT': False}, {'ORTH': '"'}] matcher.add('Quote', None, pattern) doc = get_doc(matcher.vocab, words) assert len(matcher(doc)) == 1 def test_matcher_match_one_plus(matcher): control = Matcher(matcher.vocab) control.add('BasicPhilippe', None, [{'ORTH': 'Philippe'}]) doc = get_doc(control.vocab, ['Philippe', 'Philippe']) m = control(doc) assert len(m) == 2 matcher.add('KleenePhilippe', None, [{'ORTH': 'Philippe', 'OP': '1'}, {'ORTH': 'Philippe', 'OP': '+'}]) m = matcher(doc) assert len(m) == 1