Commit Graph

47 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
Daniël de Kok
e2b70df012
Configure isort to use the Black profile, recursively isort the spacy module (#12721)
* Use isort with Black profile

* isort all the things

* Fix import cycles as a result of import sorting

* Add DOCBIN_ALL_ATTRS type definition

* Add isort to requirements

* Remove isort from build dependencies check

* Typo
2023-06-14 17:48:41 +02:00
Adriane Boyd
c053f158c5
Add support for floret vectors (#8909)
* Add support for fasttext-bloom hash-only vectors

Overview:

* Extend `Vectors` to have two modes: `default` and `ngram`
  * `default` is the default mode and equivalent to the current
    `Vectors`
  * `ngram` supports the hash-only ngram tables from `fasttext-bloom`
* Extend `spacy.StaticVectors.v2` to handle both modes with no changes
  for `default` vectors
* Extend `spacy init vectors` to support ngram tables

The `ngram` mode **only** supports vector tables produced by this
fork of fastText, which adds an option to represent all vectors using
only the ngram buckets table and which uses the exact same ngram
generation algorithm and hash function (`MurmurHash3_x64_128`).
`fasttext-bloom` produces an additional `.hashvec` table, which can be
loaded by `spacy init vectors --fasttext-bloom-vectors`.

https://github.com/adrianeboyd/fastText/tree/feature/bloom

Implementation details:

* `Vectors` now includes the `StringStore` as `Vectors.strings` so that
  the API can stay consistent for both `default` (which can look up from
  `str` or `int`) and `ngram` (which requires `str` to calculate the
  ngrams).

* In ngram mode `Vectors` uses a default `Vectors` object as a cache
  since the ngram vectors lookups are relatively expensive.

  * The default cache size is the same size as the provided ngram vector
    table.

  * Once the cache is full, no more entries are added. The user is
    responsible for managing the cache in cases where the initial
    documents are not representative of the texts.

  * The cache can be resized by setting `Vectors.ngram_cache_size` or
    cleared with `vectors._ngram_cache.clear()`.

* The API ends up a bit split between methods for `default` and for
  `ngram`, so functions that only make sense for `default` or `ngram`
  include warnings with custom messages suggesting alternatives where
  possible.

* `Vocab.vectors` becomes a property so that the string stores can be
  synced when assigning vectors to a vocab.

* `Vectors` serializes its own config settings as `vectors.cfg`.

* The `Vectors` serialization methods have added support for `exclude`
  so that the `Vocab` can exclude the `Vectors` strings while serializing.

Removed:

* The `minn` and `maxn` options and related code from
  `Vocab.get_vector`, which does not work in a meaningful way for default
  vector tables.

* The unused `GlobalRegistry` in `Vectors`.

* Refactor to use reduce_mean

Refactor to use reduce_mean and remove the ngram vectors cache.

* Rename to floret

* Rename to floret in error messages

* Use --vectors-mode in CLI, vector init

* Fix vectors mode in init

* Remove unused var

* Minor API and docstrings adjustments

* Rename `--vectors-mode` to `--mode` in `init vectors` CLI
* Rename `Vectors.get_floret_vectors` to `Vectors.get_batch` and support
  both modes.
* Minor updates to Vectors docstrings.

* Update API docs for Vectors and init vectors CLI

* Update types for StaticVectors
2021-10-27 14:08:31 +02:00
Paul O'Leary McCann
cd75f96501
Remove two attributes marked for removal in 3.1 (#9150)
* Remove two attributes marked for removal in 3.1

* Add back unused ints with changed names

* Change data_dir to _unused_object

This is still kept in the type definition, but I removed it from the
serialization code.

* Put serialization code back for now

Not sure how this interacts with old serialized models yet.
2021-09-15 23:07:21 +02:00
Paul O'Leary McCann
0f01f46e02
Update Cython string types (#9143)
* Replace all basestring references with unicode

`basestring` was a compatability type introduced by Cython to make
dealing with utf-8 strings in Python2 easier. In Python3 it is
equivalent to the unicode (or str) type.

I replaced all references to basestring with unicode, since that was
used elsewhere, but we could also just replace them with str, which
shoudl also be equivalent.

All tests pass locally.

* Replace all references to unicode type with str

Since we only support python3 this is simpler.

* Remove all references to unicode type

This removes all references to the unicode type across the codebase and
replaces them with `str`, which makes it more drastic than the prior
commits. In order to make this work importing `unicode_literals` had to
be removed, and one explicit unicode literal also had to be removed (it
is unclear why this is necessary in Cython with language level 3, but
without doing it there were errors about implicit conversion).

When `unicode` is used as a type in comments it was also edited to be
`str`.

Additionally `coding: utf8` headers were removed from a few files.
2021-09-13 17:02:17 +02:00
Adriane Boyd
ceee1ecf17
Replace cpdef variables with cdef (#7834) 2021-04-26 16:54:02 +02:00
Adriane Boyd
724831b066 Merge remote-tracking branch 'upstream/master' into chore/update-develop-from-master
* Update Macedonian for v3
* Update Turkish for v3
2020-11-25 11:49:34 +01:00
Adriane Boyd
3f61f5eb54
Use int8_t instead of char in Matcher (#6413)
* Use signed char instead of char in Matcher

Remove unused char* utf8_t typedef

* Use int8_t instead of signed char
2020-11-23 10:26:47 +01:00
Adriane Boyd
47080fba98 Minor renaming / refactoring
* Rename loader to `spacy.LookupsDataLoader.v1`, add debugging message
* Make `Vocab.lookups` a property
2020-09-18 19:43:19 +02:00
Ines Montani
b507f61629 Tidy up and move noun_chunks, token_match, url_match 2020-07-22 22:18:46 +02:00
Ines Montani
945f795a3e WIP: move more language data to config 2020-07-22 15:59:37 +02:00
Ines Montani
43b960c01b
Refactor pipeline components, config and language data (#5759)
* Update with WIP

* Update with WIP

* Update with pipeline serialization

* Update types and pipe factories

* Add deep merge, tidy up and add tests

* Fix pipe creation from config

* Don't validate default configs on load

* Update spacy/language.py

Co-authored-by: Ines Montani <ines@ines.io>

* Adjust factory/component meta error

* Clean up factory args and remove defaults

* Add test for failing empty dict defaults

* Update pipeline handling and methods

* provide KB as registry function instead of as object

* small change in test to make functionality more clear

* update example script for EL configuration

* Fix typo

* Simplify test

* Simplify test

* splitting pipes.pyx into separate files

* moving default configs to each component file

* fix batch_size type

* removing default values from component constructors where possible (TODO: test 4725)

* skip instead of xfail

* Add test for config -> nlp with multiple instances

* pipeline.pipes -> pipeline.pipe

* Tidy up, document, remove kwargs

* small cleanup/generalization for Tok2VecListener

* use DEFAULT_UPSTREAM field

* revert to avoid circular imports

* Fix tests

* Replace deprecated arg

* Make model dirs require config

* fix pickling of keyword-only arguments in constructor

* WIP: clean up and integrate full config

* Add helper to handle function args more reliably

Now also includes keyword-only args

* Fix config composition and serialization

* Improve config debugging and add visual diff

* Remove unused defaults and fix type

* Remove pipeline and factories from meta

* Update spacy/default_config.cfg

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>

* Update spacy/default_config.cfg

* small UX edits

* avoid printing stack trace for debug CLI commands

* Add support for language-specific factories

* specify the section of the config which holds the model to debug

* WIP: add Language.from_config

* Update with language data refactor WIP

* Auto-format

* Add backwards-compat handling for Language.factories

* Update morphologizer.pyx

* Fix morphologizer

* Update and simplify lemmatizers

* Fix Japanese tests

* Port over tagger changes

* Fix Chinese and tests

* Update to latest Thinc

* WIP: xfail first Russian lemmatizer test

* Fix component-specific overrides

* fix nO for output layers in debug_model

* Fix default value

* Fix tests and don't pass objects in config

* Fix deep merging

* Fix lemma lookup data registry

Only load the lookups if an entry is available in the registry (and if spacy-lookups-data is installed)

* Add types

* Add Vocab.from_config

* Fix typo

* Fix tests

* Make config copying more elegant

* Fix pipe analysis

* Fix lemmatizers and is_base_form

* WIP: move language defaults to config

* Fix morphology type

* Fix vocab

* Remove comment

* Update to latest Thinc

* Add morph rules to config

* Tidy up

* Remove set_morphology option from tagger factory

* Hack use_gpu

* Move [pipeline] to top-level block and make [nlp.pipeline] list

Allows separating component blocks from component order – otherwise, ordering the config would mean a changed component order, which is bad. Also allows initial config to define more components and not use all of them

* Fix use_gpu and resume in CLI

* Auto-format

* Remove resume from config

* Fix formatting and error

* [pipeline] -> [components]

* Fix types

* Fix tagger test: requires set_morphology?

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com>
Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-07-22 13:42:59 +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
648f61d077
Tidy up compiler flags and imports (#5071) 2020-03-02 11:48:10 +01:00
Ines Montani
5ca7dd0f94
💫 WIP: Basic lookup class scaffolding and JSON for all lemmati… (#4167)
* Improve load_language_data helper

* WIP: Add Lookups implementation

* Start moving lemma data over to JSON

* WIP: move data over for more languages

* Convert more languages

* Fix lemmatizer fixtures in tests

* Finish conversion

* Auto-format JSON files

* Fix test for now

* Make sure tables are stored on instance
2019-08-22 14:21:32 +02:00
Matthew Honnibal
82277f63a3 💫 Small efficiency fixes to tokenizer (#2587)
This patch improves tokenizer speed by about 10%, and reduces memory usage in the `Vocab` by removing a redundant index. The `vocab._by_orth` and `vocab._by_hash` indexed on different data in v1, but in v2 the orth and the hash are identical.

The patch also fixes an uninitialized variable in the tokenizer, the `has_special` flag. This checks whether a chunk we're tokenizing triggers a special-case rule. If it does, then we avoid caching within the chunk. This check led to incorrectly rejecting some chunks from the cache. 

With the `en_core_web_md` model, we now tokenize the IMDB train data at 503,104k words per second. Prior to this patch, we had 465,764k words per second.

Before switching to the regex library and supporting more languages, we had 1.3m words per second for the tokenizer. In order to recover the missing speed, we need to:

* Fix the variable-length lookarounds in the suffix, infix and `token_match` rules
* Improve the performance of the `token_match` regex
* Switch back from the `regex` library to the `re` library.

## Checklist
<!--- Before you submit the PR, go over this checklist and make sure you can
tick off all the boxes. [] -> [x] -->
- [x] I have submitted the spaCy Contributor Agreement.
- [x] I ran the tests, and all new and existing tests passed.
- [x] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-07-24 23:35:54 +02:00
Explosion Bot
7b56b2f04b Add Vocab.cfg attr, to hold stuff like oov probs 2017-10-30 16:08:50 +01:00
Matthew Honnibal
a131981f3b Work on vectors 2017-05-30 23:34:50 +02:00
Matthew Honnibal
9e167b7bb6 Strip serializer from code 2017-05-09 17:28:50 +02:00
Matthew Honnibal
ca32a1ab01 Revert "Work on Issue #285: intern strings into document-specific pools, to address streaming data memory growth. StringStore.__getitem__ now raises KeyError when it can't find the string. Use StringStore.intern() to get the old behaviour. Still need to hunt down all uses of StringStore.__getitem__ in library and do testing, but logic looks good."
This reverts commit 8423e8627f.
2016-09-30 20:20:22 +02:00
Matthew Honnibal
8423e8627f Work on Issue #285: intern strings into document-specific pools, to address streaming data memory growth. StringStore.__getitem__ now raises KeyError when it can't find the string. Use StringStore.intern() to get the old behaviour. Still need to hunt down all uses of StringStore.__getitem__ in library and do testing, but logic looks good. 2016-09-30 10:14:47 +02:00
Matthew Honnibal
95aaea0d3f Refactor so that the tokenizer data is read from Python data, rather than from disk 2016-09-25 14:49:53 +02:00
Matthew Honnibal
85e7944572 * Start trying to pickle Vocab 2015-10-13 13:44:41 +11:00
Matthew Honnibal
362526b592 * Rename vectors_length attribute 2015-09-15 14:43:31 +10:00
Matthew Honnibal
e285ca7d6c * Load serializer freqs in vocab 2015-09-10 15:22:48 +02:00
Matthew Honnibal
86c888667f * Merge in changes from de branch 2015-09-06 19:49:28 +02:00
Matthew Honnibal
d2fc104a26 * Begin merge of Gazetteer and DE branches 2015-09-06 19:45:15 +02:00
Matthew Honnibal
c2307fa9ee * More work on language-generic parsing 2015-08-28 02:02:33 +02:00
Matthew Honnibal
2d521768a3 * Store Morphology class in Vocab 2015-08-26 19:21:03 +02:00
Matthew Honnibal
6f1743692a * Work on language-independent refactoring 2015-08-23 20:49:18 +02:00
Matthew Honnibal
fd525f0675 * Pass OOV probability around 2015-07-25 23:29:51 +02:00
Matthew Honnibal
a7c4d72e83 * Add serializer property to Vocab, and lazy-load it. Add get_by_orth method. 2015-07-23 01:18:19 +02:00
Matthew Honnibal
109106a949 * Replace UniStr, using unicode objects instead 2015-07-22 04:52:05 +02:00
Matthew Honnibal
317cbbc015 * Serialization round trip now working with decent API, but with rough spots in the organisation and requiring vocabulary to be fixed ahead of time. 2015-07-19 15:18:17 +02:00
Matthew Honnibal
82d84b0f2b * Index lexemes by orth, instead of a lexemes vector. Breaks the mechanism for deciding not to own LexemeC structs during parsing. Need to reinstate this. 2015-07-18 22:42:15 +02:00
Matthew Honnibal
4dddc8a69b * Fix type declarations for attr_t. Remove unused id_t. 2015-07-18 22:39:57 +02:00
Matthew Honnibal
db9dfd2e23 * Major refactor of serialization. Nearly complete now. 2015-07-17 01:27:54 +02:00
Matthew Honnibal
af5cc926a4 * Add codec property to Vocab, to use the Huffman encoding 2015-07-13 13:55:14 +02:00
Matthew Honnibal
abc43b852d * Add pos_tags attr to Vocab. 2015-07-08 12:36:38 +02:00
Matthew Honnibal
c04e6ebca6 * Allow user to load different sized vectors. 2015-06-05 16:26:39 +02:00
Jordan Suchow
3a8d9b37a6 Remove trailing whitespace 2015-04-19 13:01:38 -07:00
Matthew Honnibal
0930892fc1 * Tmp. Working on refactor. Compiles, must hook up lexical feats. 2015-01-14 00:03:48 +11:00
Matthew Honnibal
ce2edd6312 * Tmp commit. Refactoring to create a Python Lexeme class. 2015-01-12 10:26:22 +11:00
Matthew Honnibal
b8b65903fc * Tmp 2014-12-24 17:42:00 +11:00
Matthew Honnibal
d11c1edf8c * Import slice_unicode from strings.pyx 2014-12-20 07:56:26 +11:00
Matthew Honnibal
116f7f3bc1 * Rename Lexicon to Vocab, and move it to its own file 2014-12-20 06:54:03 +11:00