adrianeboyd 8fe7bdd0fa Improve token pattern checking without validation (#4105) ... * Fix typo in rule-based matching docs * Improve token pattern checking without validation Add more detailed token pattern checks without full JSON pattern validation and provide more detailed error messages. Addresses #4070 (also related: #4063, #4100). * Check whether top-level attributes in patterns and attr for PhraseMatcher are in token pattern schema * Check whether attribute value types are supported in general (as opposed to per attribute with full validation) * Report various internal error types (OverflowError, AttributeError, KeyError) as ValueError with standard error messages * Check for tagger/parser in PhraseMatcher pipeline for attributes TAG, POS, LEMMA, and DEP * Add error messages with relevant details on how to use validate=True or nlp() instead of nlp.make_doc() * Support attr=TEXT for PhraseMatcher * Add NORM to schema * Expand tests for pattern validation, Matcher, PhraseMatcher, and EntityRuler * Remove unnecessary .keys() * Rephrase error messages * Add another type check to Matcher Add another type check to Matcher for more understandable error messages in some rare cases. * Support phrase_matcher_attr=TEXT for EntityRuler * Don't use spacy.errors in examples and bin scripts * Fix error code * Auto-format Also try get Azure pipelines to finally start a build :( * Update errors.py Co-authored-by: Ines Montani <ines@ines.io> Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>		2019-08-21 14:00:37 +02:00
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