Ines Montani ad2a514cdf Show warning if phrase pattern Doc was overprocessed (#3255) ... In most cases, the PhraseMatcher will match on the verbatim token text or as of v2.1, sometimes the lowercase text. This means that we only need a tokenized Doc, without any other attributes. If phrase patterns are created by processing large terminology lists with the full `nlp` object, this easily can make things a lot slower, because all components will be applied, even if we don't actually need the attributes they set (like part-of-speech tags, dependency labels). The warning message also includes a suggestion to use nlp.make_doc or nlp.tokenizer.pipe for even faster processing. For now, the validation has to be enabled explicitly by setting validate=True.		2019-02-13 01:45:31 +11:00
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__init__.py	💫 Refactor test suite (#2568)	2018-07-24 23:38:44 +02:00
test_matcher_api.py	Add xfailing test for set value with operator [ci skip]	2019-02-06 13:40:11 +01:00
test_matcher_logic.py	💫 Tidy up and auto-format tests (#2967)	2018-11-27 01:09:36 +01:00
test_phrase_matcher.py	Show warning if phrase pattern Doc was overprocessed (#3255)	2019-02-13 01:45:31 +11:00