Commit Graph

9 Commits

Author SHA1 Message Date
Ines Montani
38f6ea7a78 Simplify language data and revert detailed configs 2020-07-24 14:50:26 +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
e3f40a6a0f Tidy up and auto-format 2020-02-18 15:38:18 +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
adrianeboyd
faaa832518 Generalize handling of tokenizer special cases (#4259)
* Generalize handling of tokenizer special cases

Handle tokenizer special cases more generally by using the Matcher
internally to match special cases after the affix/token_match
tokenization is complete.

Instead of only matching special cases while processing balanced or
nearly balanced prefixes and suffixes, this recognizes special cases in
a wider range of contexts:

* Allows arbitrary numbers of prefixes/affixes around special cases
* Allows special cases separated by infixes

Existing tests/settings that couldn't be preserved as before:

* The emoticon '")' is no longer a supported special case
* The emoticon ':)' in "example:)" is a false positive again

When merged with #4258 (or the relevant cache bugfix), the affix and
token_match properties should be modified to flush and reload all
special cases to use the updated internal tokenization with the Matcher.

* Remove accidentally added test case

* Really remove accidentally added test

* Reload special cases when necessary

Reload special cases when affixes or token_match are modified. Skip
reloading during initialization.

* Update error code number

* Fix offset and whitespace in Matcher special cases

* Fix offset bugs when merging and splitting tokens
* Set final whitespace on final token in inserted special case

* Improve cache flushing in tokenizer

* Separate cache and specials memory (temporarily)
* Flush cache when adding special cases
* Repeated `self._cache = PreshMap()` and `self._specials = PreshMap()`
are necessary due to this bug:
https://github.com/explosion/preshed/issues/21

* Remove reinitialized PreshMaps on cache flush

* Update UD bin scripts

* Update imports for `bin/`
* Add all currently supported languages
* Update subtok merger for new Matcher validation
* Modify blinded check to look at tokens instead of lemmas (for corpora
with tokens but not lemmas like Telugu)

* Use special Matcher only for cases with affixes

* Reinsert specials cache checks during normal tokenization for special
cases as much as possible
  * Additionally include specials cache checks while splitting on infixes
  * Since the special Matcher needs consistent affix-only tokenization
    for the special cases themselves, introduce the argument
    `with_special_cases` in order to do tokenization with or without
    specials cache checks
* After normal tokenization, postprocess with special cases Matcher for
special cases containing affixes

* Replace PhraseMatcher with Aho-Corasick

Replace PhraseMatcher with the Aho-Corasick algorithm over numpy arrays
of the hash values for the relevant attribute. The implementation is
based on FlashText.

The speed should be similar to the previous PhraseMatcher. It is now
possible to easily remove match IDs and matches don't go missing with
large keyword lists / vocabularies.

Fixes #4308.

* Restore support for pickling

* Fix internal keyword add/remove for numpy arrays

* Add test for #4248, clean up test

* Improve efficiency of special cases handling

* Use PhraseMatcher instead of Matcher
* Improve efficiency of merging/splitting special cases in document
  * Process merge/splits in one pass without repeated token shifting
  * Merge in place if no splits

* Update error message number

* Remove UD script modifications

Only used for timing/testing, should be a separate PR

* Remove final traces of UD script modifications

* Update UD bin scripts

* Update imports for `bin/`
* Add all currently supported languages
* Update subtok merger for new Matcher validation
* Modify blinded check to look at tokens instead of lemmas (for corpora
with tokens but not lemmas like Telugu)

* Add missing loop for match ID set in search loop

* Remove cruft in matching loop for partial matches

There was a bit of unnecessary code left over from FlashText in the
matching loop to handle partial token matches, which we don't have with
PhraseMatcher.

* Replace dict trie with MapStruct trie

* Fix how match ID hash is stored/added

* Update fix for match ID vocab

* Switch from map_get_unless_missing to map_get

* Switch from numpy array to Token.get_struct_attr

Access token attributes directly in Doc instead of making a copy of the
relevant values in a numpy array.

Add unsatisfactory warning for hash collision with reserved terminal
hash key. (Ideally it would change the reserved terminal hash and redo
the whole trie, but for now, I'm hoping there won't be collisions.)

* Restructure imports to export find_matches

* Implement full remove()

Remove unnecessary trie paths and free unused maps.

Parallel to Matcher, raise KeyError when attempting to remove a match ID
that has not been added.

* Switch to PhraseMatcher.find_matches

* Switch to local cdef functions for span filtering

* Switch special case reload threshold to variable

Refer to variable instead of hard-coded threshold

* Move more of special case retokenize to cdef nogil

Move as much of the special case retokenization to nogil as possible.

* Rewrap sort as stdsort for OS X

* Rewrap stdsort with specific types

* Switch to qsort

* Fix merge

* Improve cmp functions

* Fix realloc

* Fix realloc again

* Initialize span struct while retokenizing

* Temporarily skip retokenizing

* Revert "Move more of special case retokenize to cdef nogil"

This reverts commit 0b7e52c797.

* Revert "Switch to qsort"

This reverts commit a98d71a942.

* Fix specials check while caching

* Modify URL test with emoticons

The multiple suffix tests result in the emoticon `:>`, which is now
retokenized into one token as a special case after the suffixes are
split off.

* Refactor _apply_special_cases()

* Use cdef ints for span info used in multiple spots

* Modify _filter_special_spans() to prefer earlier

Parallel to #4414, modify _filter_special_spans() so that the earlier
span is preferred for overlapping spans of the same length.

* Replace MatchStruct with Entity

Replace MatchStruct with Entity since the existing Entity struct is
nearly identical.

* Replace Entity with more general SpanC

* Replace MatchStruct with SpanC

* Add error in debug-data if no dev docs are available (see #4575)

* Update azure-pipelines.yml

* Revert "Update azure-pipelines.yml"

This reverts commit ed1060cf59.

* Use latest wasabi

* Reorganise install_requires

* add dframcy to universe.json (#4580)

* Update universe.json [ci skip]

* Fix multiprocessing for as_tuples=True (#4582)

* Fix conllu script (#4579)

* force extensions to avoid clash between example scripts

* fix arg order and default file encoding

* add example config for conllu script

* newline

* move extension definitions to main function

* few more encodings fixes

* Add load_from_docbin example [ci skip]

TODO: upload the file somewhere

* Update README.md

* Add warnings about 3.8 (resolves #4593) [ci skip]

* Fixed typo: Added space between "recognize" and "various" (#4600)

* Fix DocBin.merge() example (#4599)

* Replace function registries with catalogue (#4584)

* Replace functions registries with catalogue

* Update __init__.py

* Fix test

* Revert unrelated flag [ci skip]

* Bugfix/dep matcher issue 4590 (#4601)

* add contributor agreement for prilopes

* add test for issue #4590

* fix on_match params for DependencyMacther (#4590)

* Minor updates to language example sentences (#4608)

* Add punctuation to Spanish example sentences

* Combine multilanguage examples for lang xx

* Add punctuation to nb examples

* Always realloc to a larger size

Avoid potential (unlikely) edge case and cymem error seen in #4604.

* Add error in debug-data if no dev docs are available (see #4575)

* Update debug-data for GoldCorpus / Example

* Ignore None label in misaligned NER data
2019-11-13 21:24:35 +01:00
Ines Montani
eddeb36c96
💫 Tidy up and auto-format .py files (#2983)
<!--- Provide a general summary of your changes in the title. -->

## Description
- [x] Use [`black`](https://github.com/ambv/black) to auto-format all `.py` files.
- [x] Update flake8 config to exclude very large files (lemmatization tables etc.)
- [x] Update code to be compatible with flake8 rules
- [x] Fix various small bugs, inconsistencies and messy stuff in the language data
- [x] Update docs to explain new code style (`black`, `flake8`, when to use `# fmt: off` and `# fmt: on` and what `# noqa` means)

Once #2932 is merged, which auto-formats and tidies up the CLI, we'll be able to run `flake8 spacy` actually get meaningful results.

At the moment, the code style and linting isn't applied automatically, but I'm hoping that the new [GitHub Actions](https://github.com/features/actions) will let us auto-format pull requests and post comments with relevant linting information.

### Types of change
enhancement, code style

## 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.
2018-11-30 17:03:03 +01:00
ines
0c2343d73a Tidy up language data 2017-10-11 02:22:49 +02:00
ines
4c643d74c5 Add norm exceptions to other Language classes 2017-06-03 22:29:21 +02:00
ines
84189c1cab Add 'xx' language ID for multi-language support
Allows models to specify their language ID as 'xx'.
2017-05-28 00:58:59 +02:00