Commit Graph

34 Commits

Author SHA1 Message Date
Basile Dura
b0228d8ea6
ci: add cython linter (#12694)
* chore: add cython-linter dev dependency

* fix: lexeme.pyx

* fix: morphology.pxd

* fix: tokenizer.pxd

* fix: vocab.pxd

* fix: morphology.pxd (line length)

* ci: add cython-lint

* ci: fix cython-lint call

* Fix kb/candidate.pyx.

* Fix kb/kb.pyx.

* Fix kb/kb_in_memory.pyx.

* Fix kb.

* Fix training/ partially.

* Fix training/. Ignore trailing whitespaces and too long lines.

* Fix ml/.

* Fix matcher/.

* Fix pipeline/.

* Fix tokens/.

* Fix build errors. Fix vocab.pyx.

* Fix cython-lint install and run.

* Fix lexeme.pyx, parts_of_speech.pxd, vectors.pyx. Temporarily disable cython-lint execution.

* Fix attrs.pyx, lexeme.pyx, symbols.pxd, isort issues.

* Make cython-lint install conditional. Fix tokenizer.pyx.

* Fix remaining files. Reenable cython-lint check.

* Readded parentheses.

* Fix test_build_dependencies().

* Add explanatory comment to cython-lint execution.

---------

Co-authored-by: Raphael Mitsch <r.mitsch@outlook.com>
2023-07-19 12:03:31 +02:00
Adriane Boyd
a6548ead17
Add _ as a symbol (#6153)
* Add _ to StringStore in Morphology

* Add _ as a symbol

Add `_` as a symbol instead of adding to the `StringStore`.
2020-09-27 22:20:14 +02:00
Adriane Boyd
0bab7c8b91
Remove PRON_LEMMA symbol (#5968) 2020-08-25 14:21:29 +02:00
Ines Montani
24f72c669c Merge branch 'develop' into master-tmp 2020-05-21 18:39:06 +02:00
adrianeboyd
a5cd203284
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 15:59:14 +02:00
Ines Montani
46568f40a7 Merge branch 'master' into tmp/sync 2020-03-26 13:38:14 +01:00
Tom Keefe
ddf63b97a8
make idx available via to_array (#5030) 2020-02-22 14:13:06 +01:00
Ines Montani
de11ea753a Merge branch 'master' into develop 2020-02-18 14:47:23 +01:00
adrianeboyd
5ee9d8c9b8
Add MORPH attr, add support in retokenizer (#4947)
* Add MORPH attr / symbol for token attrs

* Update retokenizer for MORPH
2020-01-29 17:45:46 +01:00
adrianeboyd
adc9745718 Modify morphology to support arbitrary features (#4932)
* Restructure tag maps for MorphAnalysis changes

Prepare tag maps for upcoming MorphAnalysis changes that allow
arbritrary features.

* Use default tag map rather than duplicating for ca / uk / vi

* Import tag map into defaults for ga

* Modify tag maps so all morphological fields and features are strings
  * Move features from `"Other"` to the top level
  * Rewrite tuples as strings separated by `","`

* Rewrite morph symbols for fr lemmatizer as strings

* Export MorphAnalysis under spacy.tokens

* Modify morphology to support arbitrary features

Modify `Morphology` and `MorphAnalysis` so that arbitrary features are
supported.

* Modify `MorphAnalysisC` so that it can support arbitrary features and
multiple values per field. `MorphAnalysisC` is redesigned to contain:
  * key: hash of UD FEATS string of morphological features
  * array of `MorphFeatureC` structs that each contain a hash of `Field`
and `Field=Value` for a given morphological feature, which makes it
possible to:
    * find features by field
    * represent multiple values for a given field

* `get_field()` is renamed to `get_by_field()` and is no longer `nogil`.
Instead a new helper function `get_n_by_field()` is `nogil` and returns
`n` features by field.

* `MorphAnalysis.get()` returns all possible values for a field as a
list of individual features such as `["Tense=Pres", "Tense=Past"]`.

* `MorphAnalysis`'s `str()` and `repr()` are the UD FEATS string.

* `Morphology.feats_to_dict()` converts a UD FEATS string to a dict
where:
  * Each field has one entry in the dict
  * Multiple values remain separated by a separator in the value string

* `Token.morph_` returns the UD FEATS string and you can set
`Token.morph_` with a UD FEATS string or with a tag map dict.

* Modify get_by_field to use np.ndarray

Modify `get_by_field()` to use np.ndarray. Remove `max_results` from
`get_n_by_field()` and always iterate over all the fields.

* Rewrite without MorphFeatureC

* Add shortcut for existing feats strings as keys

Add shortcut for existing feats strings as keys in `Morphology.add()`.

* Check for '_' as empty analysis when adding morphs

* Extend helper converters in Morphology

Add and extend helper converters that convert and normalize between:

* UD FEATS strings (`"Case=dat,gen|Number=sing"`)
* per-field dict of feats (`{"Case": "dat,gen", "Number": "sing"}`)
* list of individual features (`["Case=dat", "Case=gen",
"Number=sing"]`)

All converters sort fields and values where applicable.
2020-01-23 22:01:54 +01:00
Sofie Van Landeghem
a1b22e90cd 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 14:57:34 +01:00
Ines Montani
db55577c45
Drop Python 2.7 and 3.5 (#4828)
* Remove unicode declarations

* Remove Python 3.5 and 2.7 from CI

* Don't require pathlib

* Replace compat helpers

* Remove OrderedDict

* Use f-strings

* Set Cython compiler language level

* Fix typo

* Re-add OrderedDict for Table

* Update setup.cfg

* Revert CONTRIBUTING.md

* Revert lookups.md

* Revert top-level.md

* Small adjustments and docs [ci skip]
2019-12-22 01:53:56 +01:00
svlandeg
8608685543 ensure Span.as_doc keeps the entity links + unit test 2019-06-25 15:28:51 +02:00
Matthew Honnibal
1f7229f40f Revert "Merge branch 'develop' of https://github.com/explosion/spaCy into develop"
This reverts commit c9ba3d3c2d, reversing
changes made to 92c26a35d4.
2018-03-27 19:23:02 +02:00
Matthew Honnibal
0bf2f6be29 Add missing symbol for LANG attr. Fixes inconsistent numeric ID 2018-02-17 17:37:02 +01:00
4altinok
edd7202a06 added new symbol 2018-02-11 18:55:32 +01:00
Matthew Honnibal
7d46793dd7 Add PRON_LEMMA to spacy.symbols 2017-11-06 17:38:25 +01:00
ines
d96e72f656 Tidy up rest 2017-10-27 21:07:59 +02:00
ines
108f1f786e Update symbols and document missing token attributes (see #1439) 2017-10-20 13:08:44 +02:00
ines
4acab77a8a Add missing symbol for LAW entities (resolves #1427) 2017-10-20 13:07:57 +02:00
Anto Binish Kaspar
534240648e Fix trailing whitespace on morphology features 2017-10-17 17:15:58 +05:30
Matthew Honnibal
11f2a05ede Fix code explosion from long enum in Python 3, Cython 0.24+ 2017-09-16 12:20:04 +02:00
Matthew Honnibal
d68dd1f251 Add SENT_START attribute, for custom sentence boundary detection 2017-05-23 18:37:58 +02:00
ines
d24589aa72 Clean up imports, unused code, whitespace, docstrings 2017-04-15 12:05:47 +02:00
Matthew Honnibal
890747d8ff Fix trailing whitespace on morphology features 2017-03-16 17:07:37 -05:00
Roman Inflianskas
66e1109b53 Add support for Universal Dependencies v2.0 2017-03-03 13:17:34 +01:00
Matthew Honnibal
5965d3c2a7 Revert "Add acl to symbols.pyx" 2016-12-12 10:10:28 +11:00
Pokey Rule
18a15c0777 Add acl to symbols.pyx 2016-12-11 20:00:07 +00:00
Matthew Honnibal
23b7244842 Make sure symbols are unicode strings 2016-09-30 20:02:19 +02:00
Matthew Honnibal
c4017a06d9 * Add placeholders for the new flags in attrs and symbols 2016-02-04 15:49:45 +01:00
Matthew Honnibal
0090f79fbd * Use lower case strings for dependency label names in symbols enum 2015-10-10 22:59:14 +11:00
Matthew Honnibal
6b30d1cf7b * Remove qualified naming in symbols 2015-10-10 22:11:38 +11:00
Matthew Honnibal
20e909d2bb * Fix empty values in attributes and parts of speech, so symbols align correctly with the StringStore 2015-10-10 18:27:03 +11:00
Matthew Honnibal
3cea417852 * Enumerate all symbols in one file 2015-10-10 16:03:48 +11:00