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spaCy/spacy/attrs.pxd

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* Add attrs.pxd
2015-01-26 14:22:09 +03:00
# Reserve 64 values for flag features
Fix attrs alignment
2019-07-12 18:59:47 +03:00
from . cimport symbols
Fix cpdef enum in attrs.pyx
2017-09-17 20:28:53 +03:00
cdef enum attr_id_t:
* Refactor symbols, so that frequency rank can be derived from the orth id of a word.
2015-10-06 16:39:50 +03:00
NULL_ATTR
* Host IS_ flags in attrs.pxd, and add properties for them on Token and Lexeme objects
2015-07-26 17:37:16 +03:00
IS_ALPHA
IS_ASCII
IS_DIGIT
IS_LOWER
IS_PUNCT
IS_SPACE
IS_TITLE
IS_UPPER
LIKE_URL
LIKE_NUM
LIKE_EMAIL
IS_STOP
Reduce stored lexemes data, move feats to lookups (#5238) * Reduce stored lexemes data, move feats to lookups * Move non-derivable lexemes features (`norm / cluster / prob`) to `spacy-lookups-data` as lookups * Get/set `norm` in both lookups and `LexemeC`, serialize in lookups * Remove `cluster` and `prob` from `LexemesC`, get/set/serialize in lookups only * Remove serialization of lexemes data as `vocab/lexemes.bin` * Remove `SerializedLexemeC` * Remove `Lexeme.to_bytes/from_bytes` * Modify normalization exception loading: * Always create `Vocab.lookups` table `lexeme_norm` for normalization exceptions * Load base exceptions from `lang.norm_exceptions`, but load language-specific exceptions from lookups * Set `lex_attr_getter[NORM]` including new lookups table in `BaseDefaults.create_vocab()` and when deserializing `Vocab` * Remove all cached lexemes when deserializing vocab to override existing normalizations with the new normalizations (as a replacement for the previous step that replaced all lexemes data with the deserialized data) * Skip English normalization test Skip English normalization test because the data is now in `spacy-lookups-data`. * Remove norm exceptions Moved to spacy-lookups-data. * Move norm exceptions test to spacy-lookups-data * Load extra lookups from spacy-lookups-data lazily Load extra lookups (currently for cluster and prob) lazily from the entry point `lg_extra` as `Vocab.lookups_extra`. * Skip creating lexeme cache on load To improve model loading times, do not create the full lexeme cache when loading. The lexemes will be created on demand when processing. * Identify numeric values in Lexeme.set_attrs() With the removal of a special case for `PROB`, also identify `float` to avoid trying to convert it with the `StringStore`. * Skip lexeme cache init in from_bytes * Unskip and update lookups tests for python3.6+ * Update vocab pickle to include lookups_extra * Update vocab serialization tests Check strings rather than lexemes since lexemes aren't initialized automatically, account for addition of "_SP". * Re-skip lookups test because of python3.5 * Skip PROB/float values in Lexeme.set_attrs * Convert is_oov from lexeme flag to lex in vectors Instead of storing `is_oov` as a lexeme flag, `is_oov` reports whether the lexeme has a vector. Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-05-19 16:59:14 +03:00
IS_OOV_DEPRECATED
introduce lang field for LexemeC to hold language id put noun_chunk logic into iterators.py for each language separately
2016-03-10 15:01:34 +03:00
IS_BRACKET
IS_QUOTE
IS_LEFT_PUNCT
IS_RIGHT_PUNCT
removed 18 and replaced 18 with is_currency
2018-02-11 20:51:09 +03:00
IS_CURRENCY
introduce lang field for LexemeC to hold language id put noun_chunk logic into iterators.py for each language separately
2016-03-10 15:01:34 +03:00
removed 18 and replaced 18 with is_currency
2018-02-11 20:51:09 +03:00
FLAG19 = 19
* Add attrs.pxd
2015-01-26 14:22:09 +03:00
FLAG20
FLAG21
FLAG22
FLAG23
FLAG24
FLAG25
FLAG26
FLAG27
FLAG28
FLAG29
FLAG30
FLAG31
FLAG32
FLAG33
FLAG34
FLAG35
FLAG36
FLAG37
FLAG38
FLAG39
FLAG40
FLAG41
FLAG42
FLAG43
FLAG44
FLAG45
FLAG46
FLAG47
FLAG48
FLAG49
FLAG50
FLAG51
FLAG52
FLAG53
FLAG54
FLAG55
FLAG56
FLAG57
FLAG58
FLAG59
FLAG60
FLAG61
FLAG62
FLAG63
ID
ORTH
LOWER
NORM
SHAPE
PREFIX
SUFFIX
LENGTH
CLUSTER
LEMMA
POS
TAG
* Fix Issue #43: TAG attr not supported. Also add DEP attr, while I'm at it. Need better way of ensuring future changes don't break in similar way.
2015-04-07 07:00:43 +03:00
DEP
* Upd attrs id list
2015-07-16 02:26:54 +03:00
ENT_IOB
ENT_TYPE
HEAD
Add SENT_START attribute, for custom sentence boundary detection
2016-05-05 13:11:57 +03:00
SENT_START
* Upd attrs id list
2015-07-16 02:26:54 +03:00
SPACY
* Add PROB attribute in attrs.pxd
2015-08-26 20:14:19 +03:00
PROB
introduce lang field for LexemeC to hold language id put noun_chunk logic into iterators.py for each language separately
2016-03-10 15:01:34 +03:00
Fix LANG symbol
2018-02-17 20:10:50 +03:00
LANG
Fix attrs alignment
2019-07-12 18:59:47 +03:00
ENT_KB_ID = symbols.ENT_KB_ID
Add MORPH attr, add support in retokenizer (#4947) * Add MORPH attr / symbol for token attrs * Update retokenizer for MORPH
2020-01-29 19:45:46 +03:00
MORPH
serialize ENT_ID (#4852) * expand serialization test for custom token attribute * add failing test for issue 4849 * define ENT_ID as attr and use in doc serialization * fix few typos
2020-01-06 16:57:34 +03:00
ENT_ID = symbols.ENT_ID
make idx available via to_array (#5030)
2020-02-22 16:13:06 +03:00
IDX
Add is_sent_end token property (#5375) Reconstruction of the original PR #4697 by @MiniLau. Removes unused `SENT_END` symbol and `IS_SENT_END` from `Matcher` schema because the Matcher is only going to be able to support `IS_SENT_START`.
2020-04-29 13:53:16 +03:00
SENT_END
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