Commit Graph

599 Commits

Author SHA1 Message Date
Ines Montani
245f91df78 Fix merge issues 2020-05-21 19:42:13 +02:00
Ines Montani
24f72c669c Merge branch 'develop' into master-tmp 2020-05-21 18:39:06 +02:00
svlandeg
36a94c409a failing test to reproduce overlapping spans problem 2020-05-20 23:06:03 +02:00
adrianeboyd
40e65d6f63
Fix most_similar for vectors with unused rows (#5348)
* Fix most_similar for vectors with unused rows

Address issues related to the unused rows in the vector table and
`most_similar`:

* Update `most_similar()` to search only through rows that are in use
according to `key2row`.

* Raise an error when `most_similar(n=n)` is larger than the number of
vectors in the table.

* Set and restore `_unset` correctly when vectors are added or
deserialized so that new vectors are added in the correct row.

* Set data and keys to the same length in `Vocab.prune_vectors()` to
avoid spurious entries in `key2row`.

* Fix regression test using `most_similar`

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-05-19 16:41:26 +02:00
Sofie Van Landeghem
f00de445dd
default models defined in component decorator (#5452)
* move defaults to pipeline and use in component decorator

* black formatting

* relative import
2020-05-19 16:20:03 +02:00
Sofie Van Landeghem
0d94737857
Feature toggle_pipes (#5378)
* make disable_pipes deprecated in favour of the new toggle_pipes

* rewrite disable_pipes statements

* update documentation

* remove bin/wiki_entity_linking folder

* one more fix

* remove deprecated link to documentation

* few more doc fixes

* add note about name change to the docs

* restore original disable_pipes

* small fixes

* fix typo

* fix error number to W096

* rename to select_pipes

* also make changes to the documentation

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-05-18 22:27:10 +02:00
Matthew Honnibal
333b1a308b
Adapt parser and NER for transformers (#5449)
* Draft layer for BILUO actions

* Fixes to biluo layer

* WIP on BILUO layer

* Add tests for BILUO layer

* Format

* Fix transitions

* Update test

* Link in the simple_ner

* Update BILUO tagger

* Update __init__

* Import simple_ner

* Update test

* Import

* Add files

* Add config

* Fix label passing for BILUO and tagger

* Fix label handling for simple_ner component

* Update simple NER test

* Update config

* Hack train script

* Update BILUO layer

* Fix SimpleNER component

* Update train_from_config

* Add biluo_to_iob helper

* Add IOB layer

* Add IOBTagger model

* Update biluo layer

* Update SimpleNER tagger

* Update BILUO

* Read random seed in train-from-config

* Update use of normal_init

* Fix normalization of gradient in SimpleNER

* Update IOBTagger

* Remove print

* Tweak masking in BILUO

* Add dropout in SimpleNER

* Update thinc

* Tidy up simple_ner

* Fix biluo model

* Unhack train-from-config

* Update setup.cfg and requirements

* Add tb_framework.py for parser model

* Try to avoid memory leak in BILUO

* Move ParserModel into spacy.ml, avoid need for subclass.

* Use updated parser model

* Remove incorrect call to model.initializre in PrecomputableAffine

* Update parser model

* Avoid divide by zero in tagger

* Add extra dropout layer in tagger

* Refine minibatch_by_words function to avoid oom

* Fix parser model after refactor

* Try to avoid div-by-zero in SimpleNER

* Fix infinite loop in minibatch_by_words

* Use SequenceCategoricalCrossentropy in Tagger

* Fix parser model when hidden layer

* Remove extra dropout from tagger

* Add extra nan check in tagger

* Fix thinc version

* Update tests and imports

* Fix test

* Update test

* Update tests

* Fix tests

* Fix test

Co-authored-by: Ines Montani <ines@ines.io>
2020-05-18 22:23:33 +02:00
Sofie Van Landeghem
cfdaf99b80
Fix passing of component configuration (#5374)
* add kwargs to to_disk methods in docs - otherwise crashes on 'exclude' argument

* add fix and test for Issue 5137
2020-04-29 12:56:17 +02:00
Sofie Van Landeghem
f67343295d
Update NEL examples and documentation (#5370)
* simplify creation of KB by skipping dim reduction

* small fixes to train EL example script

* add KB creation and NEL training example scripts to example section

* update descriptions of example scripts in the documentation

* moving wiki_entity_linking folder from bin to projects

* remove test for wiki NEL functionality that is being moved
2020-04-29 12:53:53 +02:00
adrianeboyd
f8ac5b9f56
bugfix in span similarity (#5155) (#5358)
* bugfix in span similarity

* also rewrite doc.pyx for clarity

* formatting

Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
2020-04-27 16:51:27 +02:00
Jakob Jul Elben
663333c3b2
Fixes #5413 (#5315)
* Fix 5314

* Add contributor

* Resolve requested changes

Co-authored-by: Jakob Jul Elben <jakob@datamaga.com>
2020-04-16 13:29:02 +02:00
Leander Fiedler
d60e2d3ebf issue5230 added unit test for dumping and loading knowledgebase 2020-04-12 09:08:41 +02:00
Leander Fiedler
d2bb649227 issue5230 filter warnings in addition to filterwarnings to prevent deprecation warnings in python35(win) setup to pop up 2020-04-10 23:21:13 +02:00
Leander Fiedler
ca2a7a44db issue5230 store string values of warnings to remotely debug failing python35(win) setup 2020-04-10 22:26:55 +02:00
Leander Fiedler
88ca40a15d issue5230 raise warnings as errors to remotely debug failing python35(win) setup 2020-04-10 21:45:53 +02:00
Leander Fiedler
a7bdfe42e1 issue5230 added print statement to warnings filter to remotely debug failing python35(win) setup 2020-04-10 21:14:33 +02:00
Leander Fiedler
8c1d0d628f issue5230 writer now checks instance of loc parameter before trying to operate on it 2020-04-10 20:35:52 +02:00
lfiedler
e1e25c7e30 issue5230: added unittest test case for completion 2020-04-06 21:36:02 +02:00
Leander Fiedler
cde96f6c64 issue5230: optimized unit test a bit 2020-04-06 20:51:12 +02:00
Leander Fiedler
71cc903d65 issue5230: replaced open statements on path objects so that serialization still works an files are closed 2020-04-06 20:30:41 +02:00
Leander Fiedler
273ed452bb issue5230: added unicode declaration at top of the file 2020-04-06 19:22:32 +02:00
Leander Fiedler
1cd975d4a5 issue5230: fixed resource warnings in language 2020-04-06 18:54:32 +02:00
Leander Fiedler
493c77462a issue5230: test cases
covering known sources of resource warnings
2020-04-06 18:46:51 +02:00
adrianeboyd
ce0e538068
Check whether doc is instantiated in Example.get_gold_parses() (#5167)
* Check whether doc is instantiated

When creating docs to pair with gold parses, modify test to check
whether a doc is unset rather than whether it contains tokens.

* Restore test of evaluate on an empty doc

* Set a minimal gold.orig for the scorer

Without a minimal gold.orig the scorer can't evaluate empty docs. This
is the v3 equivalent of #4925.
2020-03-29 13:57:00 +02:00
Sofie Van Landeghem
d6d95674c1
bugfix in span similarity (#5155)
* bugfix in span similarity

* also rewrite doc.pyx for clarity

* formatting
2020-03-29 13:56:07 +02:00
Sofie Van Landeghem
9b412516e7
Fixing pickling of the parser (#5218)
* fix __reduce__ for pickling parser

* setting the move object as 'state' during pickling

* unskip test_issue4725 - works again
2020-03-27 19:35:26 +01:00
Ines Montani
92b9b631ef xfail -> skip 2020-03-27 10:51:32 +01:00
Ines Montani
ee4bb0e3b6 Fix import 2020-03-26 21:44:18 +01:00
Ines Montani
4fe2299586 xfail hanging test 2020-03-26 20:58:13 +01:00
Ines Montani
f12a46472c Remove unicode declarations 2020-03-26 15:18:32 +01:00
Ines Montani
46568f40a7 Merge branch 'master' into tmp/sync 2020-03-26 13:38:14 +01:00
Ines Montani
828acffc12 Tidy up and auto-format 2020-03-25 12:28:12 +01:00
svlandeg
59000ee21d fix serialization of empty doc + unit test 2020-03-13 16:07:56 +01:00
Sofie Van Landeghem
1a2b8fc264
set vector of merged entity (#5085)
* merge_entities sets the vector in the vocab for the merged token

* add unit test

* import unicode_literals

* move code to _merge function

* only set vector if vocab has non-zero vectors
2020-03-06 14:45:28 +01:00
Sofie Van Landeghem
d307e9ca58
take care of global vectors in multiprocessing (#5081)
* restore load_nlp.VECTORS in the child process

* add unit test

* fix test

* remove unnecessary import

* add utf8 encoding

* import unicode_literals
2020-03-03 13:58:22 +01:00
Sofie Van Landeghem
c6b12ab02a
Bugfix/get doc (#5049)
* new (broken) unit test

* fixing get_doc method
2020-03-02 11:49:28 +01:00
Ines Montani
5da3ad682a Tidy up and auto-format 2020-02-28 11:57:41 +01:00
Sofie Van Landeghem
06f0a8daa0
Default settings to configurations (#4995)
* fix grad_clip naming

* cleaning up pretrained_vectors out of cfg

* further refactoring Model init's

* move Model building out of pipes

* further refactor to require a model config when creating a pipe

* small fixes

* making cfg in nn_parser more consistent

* fixing nr_class for parser

* fixing nn_parser's nO

* fix printing of loss

* architectures in own file per type, consistent naming

* convenience methods default_tagger_config and default_tok2vec_config

* let create_pipe access default config if available for that component

* default_parser_config

* move defaults to separate folder

* allow reading nlp from package or dir with argument 'name'

* architecture spacy.VocabVectors.v1 to read static vectors from file

* cleanup

* default configs for nel, textcat, morphologizer, tensorizer

* fix imports

* fixing unit tests

* fixes and clean up

* fixing defaults, nO, fix unit tests

* restore parser IO

* fix IO

* 'fix' serialization test

* add *.cfg to manifest

* fix example configs with additional arguments

* replace Morpohologizer with Tagger

* add IO bit when testing overfitting of tagger (currently failing)

* fix IO - don't initialize when reading from disk

* expand overfitting tests to also check IO goes OK

* remove dropout from HashEmbed to fix Tagger performance

* add defaults for sentrec

* update thinc

* always pass a Model instance to a Pipe

* fix piped_added statement

* remove obsolete W029

* remove obsolete errors

* restore byte checking tests (work again)

* clean up test

* further test cleanup

* convert from config to Model in create_pipe

* bring back error when component is not initialized

* cleanup

* remove calls for nlp2.begin_training

* use thinc.api in imports

* allow setting charembed's nM and nC

* fix for hardcoded nM/nC + unit test

* formatting fixes

* trigger build
2020-02-27 18:42:27 +01:00
svlandeg
b49a3afd0c use clean_underscore fixture 2020-02-23 15:49:20 +01:00
Ines Montani
e3f40a6a0f Tidy up and auto-format 2020-02-18 15:38:18 +01:00
Ines Montani
1278161f47 Tidy up and fix issues 2020-02-18 15:17:03 +01:00
Ines Montani
de11ea753a Merge branch 'master' into develop 2020-02-18 14:47:23 +01:00
svlandeg
6e717c62ed avoid the tests interacting with eachother through the global Underscore variable 2020-02-12 13:21:31 +01:00
svlandeg
7939c63886 use English instead of model 2020-02-12 12:26:27 +01:00
svlandeg
46628d8890 add some asserts 2020-02-12 12:12:52 +01:00
svlandeg
51d37033c8 remove old comment 2020-02-12 12:10:05 +01:00
svlandeg
05dedaa2cf add unit test 2020-02-12 12:00:13 +01:00
Tyler Couto
9fa9d7f2cb
Fix for Issue 4665 - conllu2json (#4953)
* Fix for Issue 4665 - conllu2json

- Allowing HEAD to be an underscore

* Added contributor agreement
2020-02-03 13:01:48 +01:00
Sofie Van Landeghem
569cc98982
Update spaCy for thinc 8.0.0 (#4920)
* Add load_from_config function

* Add train_from_config script

* Merge configs and expose via spacy.config

* Fix script

* Suggest create_evaluation_callback

* Hard-code for NER

* Fix errors

* Register command

* Add TODO

* Update train-from-config todos

* Fix imports

* Allow delayed setting of parser model nr_class

* Get train-from-config working

* Tidy up and fix scores and printing

* Hide traceback if cancelled

* Fix weighted score formatting

* Fix score formatting

* Make output_path optional

* Add Tok2Vec component

* Tidy up and add tok2vec_tensors

* Add option to copy docs in nlp.update

* Copy docs in nlp.update

* Adjust nlp.update() for set_annotations

* Don't shuffle pipes in nlp.update, decruft

* Support set_annotations arg in component update

* Support set_annotations in parser update

* Add get_gradients method

* Add get_gradients to parser

* Update errors.py

* Fix problems caused by merge

* Add _link_components method in nlp

* Add concept of 'listeners' and ControlledModel

* Support optional attributes arg in ControlledModel

* Try having tok2vec component in pipeline

* Fix tok2vec component

* Fix config

* Fix tok2vec

* Update for Example

* Update for Example

* Update config

* Add eg2doc util

* Update and add schemas/types

* Update schemas

* Fix nlp.update

* Fix tagger

* Remove hacks from train-from-config

* Remove hard-coded config str

* Calculate loss in tok2vec component

* Tidy up and use function signatures instead of models

* Support union types for registry models

* Minor cleaning in Language.update

* Make ControlledModel specifically Tok2VecListener

* Fix train_from_config

* Fix tok2vec

* Tidy up

* Add function for bilstm tok2vec

* Fix type

* Fix syntax

* Fix pytorch optimizer

* Add example configs

* Update for thinc describe changes

* Update for Thinc changes

* Update for dropout/sgd changes

* Update for dropout/sgd changes

* Unhack gradient update

* Work on refactoring _ml

* Remove _ml.py module

* WIP upgrade cli scripts for thinc

* Move some _ml stuff to util

* Import link_vectors from util

* Update train_from_config

* Import from util

* Import from util

* Temporarily add ml.component_models module

* Move ml methods

* Move typedefs

* Update load vectors

* Update gitignore

* Move imports

* Add PrecomputableAffine

* Fix imports

* Fix imports

* Fix imports

* Fix missing imports

* Update CLI scripts

* Update spacy.language

* Add stubs for building the models

* Update model definition

* Update create_default_optimizer

* Fix import

* Fix comment

* Update imports in tests

* Update imports in spacy.cli

* Fix import

* fix obsolete thinc imports

* update srsly pin

* from thinc to ml_datasets for example data such as imdb

* update ml_datasets pin

* using STATE.vectors

* small fix

* fix Sentencizer.pipe

* black formatting

* rename Affine to Linear as in thinc

* set validate explicitely to True

* rename with_square_sequences to with_list2padded

* rename with_flatten to with_list2array

* chaining layernorm

* small fixes

* revert Optimizer import

* build_nel_encoder with new thinc style

* fixes using model's get and set methods

* Tok2Vec in component models, various fixes

* fix up legacy tok2vec code

* add model initialize calls

* add in build_tagger_model

* small fixes

* setting model dims

* fixes for ParserModel

* various small fixes

* initialize thinc Models

* fixes

* consistent naming of window_size

* fixes, removing set_dropout

* work around Iterable issue

* remove legacy tok2vec

* util fix

* fix forward function of tok2vec listener

* more fixes

* trying to fix PrecomputableAffine (not succesful yet)

* alloc instead of allocate

* add morphologizer

* rename residual

* rename fixes

* Fix predict function

* Update parser and parser model

* fixing few more tests

* Fix precomputable affine

* Update component model

* Update parser model

* Move backprop padding to own function, for test

* Update test

* Fix p. affine

* Update NEL

* build_bow_text_classifier and extract_ngrams

* Fix parser init

* Fix test add label

* add build_simple_cnn_text_classifier

* Fix parser init

* Set gpu off by default in example

* Fix tok2vec listener

* Fix parser model

* Small fixes

* small fix for PyTorchLSTM parameters

* revert my_compounding hack (iterable fixed now)

* fix biLSTM

* Fix uniqued

* PyTorchRNNWrapper fix

* small fixes

* use helper function to calculate cosine loss

* small fixes for build_simple_cnn_text_classifier

* putting dropout default at 0.0 to ensure the layer gets built

* using thinc util's set_dropout_rate

* moving layer normalization inside of maxout definition to optimize dropout

* temp debugging in NEL

* fixed NEL model by using init defaults !

* fixing after set_dropout_rate refactor

* proper fix

* fix test_update_doc after refactoring optimizers in thinc

* Add CharacterEmbed layer

* Construct tagger Model

* Add missing import

* Remove unused stuff

* Work on textcat

* fix test (again :)) after optimizer refactor

* fixes to allow reading Tagger from_disk without overwriting dimensions

* don't build the tok2vec prematuraly

* fix CharachterEmbed init

* CharacterEmbed fixes

* Fix CharacterEmbed architecture

* fix imports

* renames from latest thinc update

* one more rename

* add initialize calls where appropriate

* fix parser initialization

* Update Thinc version

* Fix errors, auto-format and tidy up imports

* Fix validation

* fix if bias is cupy array

* revert for now

* ensure it's a numpy array before running bp in ParserStepModel

* no reason to call require_gpu twice

* use CupyOps.to_numpy instead of cupy directly

* fix initialize of ParserModel

* remove unnecessary import

* fixes for CosineDistance

* fix device renaming

* use refactored loss functions (Thinc PR 251)

* overfitting test for tagger

* experimental settings for the tagger: avoid zero-init and subword normalization

* clean up tagger overfitting test

* use previous default value for nP

* remove toy config

* bringing layernorm back (had a bug - fixed in thinc)

* revert setting nP explicitly

* remove setting default in constructor

* restore values as they used to be

* add overfitting test for NER

* add overfitting test for dep parser

* add overfitting test for textcat

* fixing init for linear (previously affine)

* larger eps window for textcat

* ensure doc is not None

* Require newer thinc

* Make float check vaguer

* Slop the textcat overfit test more

* Fix textcat test

* Fix exclusive classes for textcat

* fix after renaming of alloc methods

* fixing renames and mandatory arguments (staticvectors WIP)

* upgrade to thinc==8.0.0.dev3

* refer to vocab.vectors directly instead of its name

* rename alpha to learn_rate

* adding hashembed and staticvectors dropout

* upgrade to thinc 8.0.0.dev4

* add name back to avoid warning W020

* thinc dev4

* update srsly

* using thinc 8.0.0a0 !

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
Co-authored-by: Ines Montani <ines@ines.io>
2020-01-29 17:06:46 +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
Yohei Tamura
708a4d27eb fix nlp.evaluate (#4924) (#4925)
* new file:   test_issue4924.py

* modified:   spacy/gold.pyx

* modified:   test_issue4924.py for python2
2020-01-20 12:17:46 +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
Ines Montani
3431ac42de Fix typo 2019-12-21 21:17:45 +01:00
Ines Montani
21b6d6e0a8 Fix typo 2019-12-21 21:17:31 +01:00
Ines Montani
de33b6d566 Merge branch 'master' into develop 2019-12-21 21:15:46 +01:00
Ines Montani
7c69d30de5 Tidy up and expect warning 2019-12-21 21:14:52 +01:00
Ines Montani
947dba7141 Merge branch 'master' into develop 2019-12-21 19:04:43 +01:00
Ines Montani
cb4145adc7 Tidy up and auto-format 2019-12-21 19:04:17 +01:00
Ines Montani
158b98a3ef Merge branch 'master' into develop 2019-12-21 18:55:03 +01:00
Sofie Van Landeghem
f9b541f9ef More robust set entities method in KB (#4794)
* add unit test for setting entities with duplicate identifiers

* count the number of actual unique identifiers and throw duplicate warning
2019-12-13 10:45:29 +01:00
adrianeboyd
392c4880d9 Restructure Example with merged sents as default (#4632)
* Switch to train_dataset() function in train CLI

* Fixes for pipe() methods in pipeline components

* Don't clobber `examples` variable with `as_example` in pipe() methods
* Remove unnecessary traversals of `examples`

* Update Parser.pipe() for Examples

* Add `as_examples` kwarg to `pipe()` with implementation to return
`Example`s

* Accept `Doc` or `Example` in `pipe()` with `_get_doc()` (copied from
`Pipe`)

* Fixes to Example implementation in spacy.gold

* Move `make_projective` from an attribute of Example to an argument of
`Example.get_gold_parses()`

* Head of 0 are not treated as unset

* Unset heads are set to self rather than `None` (which causes problems
while projectivizing)

* Check for `Doc` (not just not `None`) when creating GoldParses for
pre-merged example

* Don't clobber `examples` variable in `iter_gold_docs()`

* Add/modify gold tests for handling projectivity

* In JSON roundtrip compare results from `dev_dataset` rather than
`train_dataset` to avoid projectivization (and other potential
modifications)

* Add test for projective train vs. nonprojective dev versions of the
same `Doc`

* Handle ignore_misaligned as arg rather than attr

Move `ignore_misaligned` from an attribute of `Example` to an argument
to `Example.get_gold_parses()`, which makes it parallel to
`make_projective`.

Add test with old and new align that checks whether `ignore_misaligned`
errors are raised as expected (only for new align).

* Remove unused attrs from gold.pxd

Remove `ignore_misaligned` and `make_projective` from `gold.pxd`

* Restructure Example with merged sents as default

An `Example` now includes a single `TokenAnnotation` that includes all
the information from one `Doc` (=JSON `paragraph`). If required, the
individual sentences can be returned as a list of examples with
`Example.split_sents()` with no raw text available.

* Input/output a single `Example.token_annotation`

* Add `sent_starts` to `TokenAnnotation` to handle sentence boundaries

* Replace `Example.merge_sents()` with `Example.split_sents()`

* Modify components to use a single `Example.token_annotation`

  * Pipeline components
  * conllu2json converter

* Rework/rename `add_token_annotation()` and `add_doc_annotation()` to
`set_token_annotation()` and `set_doc_annotation()`, functions that set
rather then appending/extending.

* Rename `morphology` to `morphs` in `TokenAnnotation` and `GoldParse`

* Add getters to `TokenAnnotation` to supply default values when a given
attribute is not available

* `Example.get_gold_parses()` in `spacy.gold._make_golds()` is only
applied on single examples, so the `GoldParse` is returned saved in the
provided `Example` rather than creating a new `Example` with no other
internal annotation

* Update tests for API changes and `merge_sents()` vs. `split_sents()`

* Refer to Example.goldparse in iter_gold_docs()

Use `Example.goldparse` in `iter_gold_docs()` instead of `Example.gold`
because a `None` `GoldParse` is generated with ignore_misaligned and
generating it on-the-fly can raise an unwanted AlignmentError

* Fix make_orth_variants()

Fix bug in make_orth_variants() related to conversion from multiple to
one TokenAnnotation per Example.

* Add basic test for make_orth_variants()

* Replace try/except with conditionals

* Replace default morph value with set
2019-11-25 16:03:28 +01:00
Ines Montani
5b36dec7eb Auto-exclude disabled when calling from_disk during load (#4708) 2019-11-25 16:01:22 +01:00
Ines Montani
5d4eede1e4 Fix test util imports 2019-11-21 16:28:29 +01:00
GuiGel
8f7ab70870 Bugfix/fix entity ruler from disk (#4670)
* fix EntityRuler from_disk bug

* add contributor file

* Test EntityRuler PhraseMatcher deserialization (#4651)

* newline at end of file

* fix copy paste error

* serializing the EntityRuler by itself

* Add unicode declarations for Python 2 and auto-format
2019-11-21 16:26:37 +01:00
Ines Montani
5bf9ab5b03 Tidy up and auto-format 2019-11-20 13:16:33 +01:00
Ines Montani
6e303de717 Auto-format 2019-11-20 13:15:24 +01:00
Ines Montani
74b951fe61
Fix xpassing tests (#4657)
* Ignore internal warnings

* Un-xfail passing tests

* Skip instead of xfail
2019-11-16 20:20:53 +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
Sofie Van Landeghem
e48a09df4e Example class for training data (#4543)
* OrigAnnot class instead of gold.orig_annot list of zipped tuples

* from_orig to replace from_annot_tuples

* rename to RawAnnot

* some unit tests for GoldParse creation and internal format

* removing orig_annot and switching to lists instead of tuple

* rewriting tuples to use RawAnnot (+ debug statements, WIP)

* fix pop() changing the data

* small fixes

* pop-append fixes

* return RawAnnot for existing GoldParse to have uniform interface

* clean up imports

* fix merge_sents

* add unit test for 4402 with new structure (not working yet)

* introduce DocAnnot

* typo fixes

* add unit test for merge_sents

* rename from_orig to from_raw

* fixing unit tests

* fix nn parser

* read_annots to produce text, doc_annot pairs

* _make_golds fix

* rename golds_to_gold_annots

* small fixes

* fix encoding

* have golds_to_gold_annots use DocAnnot

* missed a spot

* merge_sents as function in DocAnnot

* allow specifying only part of the token-level annotations

* refactor with Example class + underlying dicts

* pipeline components to work with Example objects (wip)

* input checking

* fix yielding

* fix calls to update

* small fixes

* fix scorer unit test with new format

* fix kwargs order

* fixes for ud and conllu scripts

* fix reading data for conllu script

* add in proper errors (not fixed numbering yet to avoid merge conflicts)

* fixing few more small bugs

* fix EL script
2019-11-11 17:35:27 +01:00
Priscilla de Abreu Lopes
39e79fcc86 Bugfix/dep matcher issue 4590 (#4601)
* add contributor agreement for prilopes

* add test for issue #4590

* fix on_match params for DependencyMacther (#4590)
2019-11-07 12:01:06 +01:00
Ines Montani
a90025b277
Fix serialization of extension attr values in DocBin (#4540) 2019-10-28 16:02:13 +01:00
Ines Montani
96bb8f2187 Add regression test for #4528 [ci skip] 2019-10-28 14:36:03 +01:00
Ines Montani
c5e41247e8 Tidy up and auto-format 2019-10-28 12:43:55 +01:00
Sofie Van Landeghem
8e7414dace Match pop with append for training format (#4516)
* trying to fix script - not succesful yet

* match pop() with extend() to avoid changing the data

* few more pop-extend fixes

* reinsert deleted print statement

* fix print statement

* add last tested version

* append instead of extend

* add in few comments

* quick fix for 4402 + unit test

* fixing number of docs (not counting cats)

* more fixes

* fix len

* print tmp file instead of using data from examples dir

* print tmp file instead of using data from examples dir (2)
2019-10-27 16:01:32 +01:00
tamuhey
fcd25db033 [#4529] fix: gold pyx (#4530)
* fix: gold pyx

* remove print

* skip test in python2

* Add unicode declarations and don't skip test on Python 2
2019-10-27 13:50:07 +01:00
Ines Montani
cfffdba7b1 Implement new API for {Phrase}Matcher.add (backwards-compatible) (#4522)
* Implement new API for {Phrase}Matcher.add (backwards-compatible)

* Update docs

* Also update DependencyMatcher.add

* Update internals

* Rewrite tests to use new API

* Add basic check for common mistake

Raise error with suggestion if user likely passed in a pattern instead of a list of patterns

* Fix typo [ci skip]
2019-10-25 22:21:08 +02:00
Ines Montani
d2da117114 Also support passing list to Language.disable_pipes (#4521)
* Also support passing list to Language.disable_pipes

* Adjust internals
2019-10-25 16:19:08 +02:00
Ines Montani
cc05d9dad6 Auto-format [ci skip] 2019-10-24 16:21:08 +02:00
Sofie Van Landeghem
d5d55312b2 prevent division by zero in most_similar method (#4488) 2019-10-21 12:04:46 +02:00
Ines Montani
181c01f629 Tidy up and auto-format 2019-10-18 11:27:38 +02:00
Sofie Van Landeghem
2d249a9502 KB extensions and better parsing of WikiData (#4375)
* fix overflow error on windows

* more documentation & logging fixes

* md fix

* 3 different limit parameters to play with execution time

* bug fixes directory locations

* small fixes

* exclude dev test articles from prior probabilities stats

* small fixes

* filtering wikidata entities, removing numeric and meta items

* adding aliases from wikidata also to the KB

* fix adding WD aliases

* adding also new aliases to previously added entities

* fixing comma's

* small doc fixes

* adding subclassof filtering

* append alias functionality in KB

* prevent appending the same entity-alias pair

* fix for appending WD aliases

* remove date filter

* remove unnecessary import

* small corrections and reformatting

* remove WD aliases for now (too slow)

* removing numeric entities from training and evaluation

* small fixes

* shortcut during prediction if there is only one candidate

* add counts and fscore logging, remove FP NER from evaluation

* fix entity_linker.predict to take docs instead of single sentences

* remove enumeration sentences from the WP dataset

* entity_linker.update to process full doc instead of single sentence

* spelling corrections and dump locations in readme

* NLP IO fix

* reading KB is unnecessary at the end of the pipeline

* small logging fix

* remove empty files
2019-10-14 12:28:53 +02:00
Ines Montani
fec9433044 Make PhraseMatcher.vocab consistent with Matcher.vocab (closes #4373) 2019-10-04 12:18:41 +02:00
Sofie Van Landeghem
4e7259c6cf Bugfix initializing DocBin with attributes (#4368)
* docbin init fix + documentation fix + unit tests

* newline

* try with zlib instead of gzip (python 2 incompatibilities)
2019-10-03 14:48:45 +02:00
Sofie Van Landeghem
9d3ce7cba2 Ensure training doesn't crash with empty batches (#4360)
* unit test for previously resolved unflatten issue

* prevent batch of empty docs to cause problems
2019-10-02 12:50:47 +02:00
Ines Montani
cf65a80f36 Refactor lemmatizer and data table integration (#4353)
* Move test

* Allow default in Lookups.get_table

* Start with blank tables in Lookups.from_bytes

* Refactor lemmatizer to hold instance of Lookups

* Get lookups table within the lemmatization methods to make sure it references the correct table (even if the table was replaced or modified, e.g. when loading a model from disk)
* Deprecate other arguments on Lemmatizer.__init__ and expect Lookups for consistency
* Remove old and unsupported Lemmatizer.load classmethod
* Refactor language-specific lemmatizers to inherit as much as possible from base class and override only what they need

* Update tests and docs

* Fix more tests

* Fix lemmatizer

* Upgrade pytest to try and fix weird CI errors

* Try pytest 4.6.5
2019-10-01 21:36:03 +02:00
Ines Montani
e0cf4796a5 Move lookup tables out of the core library (#4346)
* Add default to util.get_entry_point

* Tidy up entry points

* Read lookups from entry points

* Remove lookup tables and related tests

* Add lookups install option

* Remove lemmatizer tests

* Remove logic to process language data files

* Update setup.cfg
2019-10-01 00:01:27 +02:00
Ines Montani
0226b3bf0e Fix test imports 2019-09-29 17:34:56 +02:00
Ines Montani
3d8fd4b461 Revert #4334 2019-09-29 17:32:12 +02:00
Ines Montani
c9cd516d96 Move tests out of package (#4334)
* Move tests out of package

* Fix typo
2019-09-28 18:05:00 +02:00
Sofie Van Landeghem
22b9e12159 Ensure the NER remains consistent after resizing (#4330)
* test and fix for second bug of issue 4042

* fix for first bug in 4042

* crashing test for Issue 4313

* forgot one instance of resize

* remove prints

* undo uncomment

* delete test for 4313 (uses third party lib)

* add fix for Issue 4313

* unit test for 4313
2019-09-27 20:57:13 +02:00
Matthew Honnibal
46c02d25b1 Merge changes to test_ner 2019-09-18 21:41:24 +02:00
Sofie Van Landeghem
de5a9ecdf3 Distinction between outside, missing and blocked NER annotations (#4307)
* remove duplicate unit test

* unit test (currently failing) for issue 4267

* bugfix: ensure doc.ents preserves kb_id annotations

* fix in setting doc.ents with empty label

* rename

* test for presetting an entity to a certain type

* allow overwriting Outside + blocking presets

* fix actions when previous label needs to be kept

* fix default ent_iob in set entities

* cleaner solution with U- action

* remove debugging print statements

* unit tests with explicit transitions and is_valid testing

* remove U- from move_names explicitly

* remove unit tests with pre-trained models that don't work

* remove (working) unit tests with pre-trained models

* clean up unit tests

* move unit tests

* small fixes

* remove two TODO's from doc.ents comments
2019-09-18 21:37:17 +02:00
tamuhey
875f3e5d8c remove redundant __call__ method in pipes.TextCategorizer (#4305)
* remove redundant __call__ method in pipes.TextCategorizer

Because the parent __call__ method behaves in the same way.

* fix: Pipe.__call__ arg

* fix: invalid arg in Pipe.__call__

* modified:   spacy/tests/regression/test_issue4278.py (#4278)

* deleted:    Pipfile
2019-09-18 21:31:27 +02:00
Ines Montani
139428c20f Set unique vector names in tests 2019-09-16 15:16:54 +02:00
Ines Montani
655b434553 Merge branch 'master' into develop 2019-09-12 11:39:18 +02:00
tamuhey
71909cdf22 Fix iss4278 (#4279)
* fix: len(tuple) == 2

* (#4278) add fail test

* add contributor's aggreement
2019-09-12 10:44:49 +02:00
Ines Montani
e82a8d0d7a Merge branch 'master' into develop 2019-09-11 11:52:38 +02:00
Ines Montani
8f9f48b04c Add GreekLemmatizer.lookup (resolves #4272) 2019-09-11 11:44:40 +02:00
Ines Montani
6279d74c65 Tidy up and auto-format 2019-09-11 11:38:22 +02:00
Matthew Honnibal
7b858ba606 Update from master 2019-09-10 20:14:08 +02:00
adrianeboyd
3780e2ff50 Flush tokenizer cache when necessary (#4258)
Flush tokenizer cache when affixes, token_match, or special cases are
modified.

Fixes #4238, same issue as in #1250.
2019-09-08 20:52:46 +02:00
Matthew Honnibal
1a65c5b7af Update develop from master 2019-09-08 18:21:41 +02:00
Adriane Boyd
0f28418446 Add regression test for #1061 back to test suite 2019-09-04 20:42:24 +02:00
Ines Montani
419ae59c79 Make flaky test test_issue_1971_4 more explicit 2019-08-31 14:08:05 +02:00
svlandeg
7bec0ebbcb failing unit test for Issue 4190 2019-08-28 14:16:34 +02:00
Matthew Honnibal
22250cf6b7 Make regression test less sensitive to tag-map stuff 2019-08-25 21:54:26 +02:00
Matthew Honnibal
bb911e5f4e Fix #3830: 'subtok' label being added even if learn_tokens=False (#4188)
* Prevent subtok label if not learning tokens

The parser introduces the subtok label to mark tokens that should be
merged during post-processing. Previously this happened even if we did
not have the --learn-tokens flag set. This patch passes the config
through to the parser, to prevent the problem.

* Make merge_subtokens a parser post-process if learn_subtokens

* Fix train script

* Add test for 3830: subtok problem

* Fix handlign of non-subtok in parser training
2019-08-23 17:54:00 +02:00
Sofie Van Landeghem
c417c380e3 Matcher ID fixes (#4179)
* allow phrasematcher to link one match to multiple original patterns

* small fix for defining ent_id in the matcher (anti-ghost prevention)

* cleanup

* formatting
2019-08-22 17:17:07 +02:00
Sofie Van Landeghem
de272f8b82 adding double match for optional operator at the end (#4166) 2019-08-21 22:46:56 +02:00
Sofie Van Landeghem
01c5980187 Serialize POS attribute when doc.is_tagged (#4092)
* fix and unit test for issue 3959

* additional unit test for manifestation of the same (resolved) bug
2019-08-21 21:59:30 +02:00
Sofie Van Landeghem
7539a4f3a8 use states[q] in while retry loop (#4162) 2019-08-21 21:58:04 +02:00
Ines Montani
f580302673 Tidy up and auto-format 2019-08-20 17:36:34 +02:00
Ines Montani
364aaf5bc2 Simplify test 2019-08-20 16:41:58 +02:00
Sofie Van Landeghem
68ee0384fd Unit test for Issue 3879 (#4153)
* failing unit test for Issue #3879

* mark test as failing
2019-08-20 16:40:25 +02:00
Ines Montani
86cd7f0efd Add regression test for #4120 2019-08-20 16:33:09 +02:00
Ines Montani
009280fbc5 Tidy up and auto-format 2019-08-18 15:09:16 +02:00
AJ Rader
2f3648700c Correction of default lemmatizer lookup in English (Issue # 4104) (#4110)
* pytest file for issue4104 established

* edited default lookup english lemmatizer for spun; fixes issue 4102

* eliminated parameterization and sorted dictionary dependnency in issue 4104 test

* added contributor agreement
2019-08-15 11:39:10 +02:00
Sofie Van Landeghem
963ea5e8d0 Update lemma and vector information after splitting a token (#4097)
* fixing vector and lemma attributes after retokenizer.split

* fixing unit test with mockup tensor

* xp instead of numpy
2019-08-08 15:09:44 +02:00
Sofie Van Landeghem
ad09b0d6f3 fetch norm from lex if necessary for matching (#4080) 2019-08-05 23:51:04 +02:00
adrianeboyd
925a852bb6 Improve NER per type scoring (#4052)
* Improve NER per type scoring

* include all gold labels in per type scoring, not only when recall > 0
* improve efficiency of per type scoring

* Create Scorer tests, initially with NER tests

* move regression test #3968 (per type NER scoring) to Scorer tests

* add new test for per type NER scoring with imperfect P/R/F and per
type P/R/F including a case where R == 0.0
2019-08-01 17:15:36 +02:00
Sofie Van Landeghem
f7d950de6d ensure the lang of vocab and nlp stay consistent (#4057)
* ensure the language of vocab and nlp stay consistent across serialization

* equality with =
2019-08-01 17:13:01 +02:00
Sofie Van Landeghem
7de3b129ab Resolve edge case when calling textcat.predict with empty doc (#4035)
* resolve edge case where no doc has tokens when calling textcat.predict

* more explicit value test
2019-07-30 14:58:01 +02:00
Sofie Van Landeghem
ba02957c80 Fix dependency copy for as_doc (#3969)
* failing unit test for issue 3962

* attempt to fix Issue #3962

* create artificial unit test example

* using length instead of self.length

* sp

* reformat with black

* find better ancestor within span and use generic 'dep'

* attach to span.root if there is no appropriate ancestor

* comment span text

* clean up ancestor code

* reconstruct dep tree to keep same number of sentences
2019-07-23 18:28:54 +02:00
Ines Montani
a32b033b8c Add regression test for #4002
Test that the PhraseMatcher can match on overwritten NORM attributes.
2019-07-22 14:18:24 +02:00
Falak Asad
ff1e73e35c Bugfix/issue 3968 (#3982)
* Fix for issue-3968

* Added contributor agreement

* Made suggested changes
2019-07-18 00:20:32 +02:00
Ines Montani
073013f129 Auto-format [ci skip] 2019-07-17 12:34:13 +02:00
Ines Montani
62ff128888 Add regression test for #3951 2019-07-16 14:00:00 +02:00
Ines Montani
7f551050b1 Add regression test for #3972 2019-07-16 13:07:35 +02:00
Sofie Van Landeghem
ed774cb953 Fixing ngram bug (#3953)
* minimal failing example for Issue #3661

* referenced Issue #3661 instead of Issue #3611

* cleanup
2019-07-12 10:01:35 +02:00
Ines Montani
673c864a06
Fix doc.count_by functionality (#3950)
Fix doc.count_by functionality
2019-07-11 13:44:00 +02:00
Ines Montani
2426f4d44c
Fix default punctuation rules for splitting Hindi text (#3948)
Fix default punctuation rules for splitting Hindi text

Co-authored-by: yash <patadiayash@gmail.com>
Co-authored-by: Ines Montani <ines@ines.io>
2019-07-11 13:36:28 +02:00
svlandeg
349107daa3 cleanup 2019-07-11 13:09:22 +02:00
Matthew Honnibal
b40b4c2c31
💫 Fix issue #3839: Incorrect entity IDs from Matcher with operators (#3949)
* Add regression test for issue #3541

* Add comment on bugfix

* Remove incorrect test

* Un-xfail test
2019-07-11 12:55:11 +02:00
Ines Montani
197cfd7ebc Merge branch 'master' into pr/3948 2019-07-11 12:18:31 +02:00
Ines Montani
0b8406a05c Tidy up and auto-format 2019-07-11 12:02:25 +02:00
yash
ae2d52e323 Add default encoding utf-8 for test file 2019-07-11 15:26:27 +05:30
yash
d5311b3c42 Add test file for issue (#3625) and spacy contributor agreement 2019-07-11 14:53:14 +05:30
svlandeg
e080412385 tracked the bug down to PreshCounter.inc - still unclear what goes wrong 2019-07-11 01:53:06 +02:00
svlandeg
a89fecce97 failing unit test for issue #3869 2019-07-11 00:43:55 +02:00
Matthew Honnibal
465456edb9 Un-xfail test #3880 2019-07-10 14:01:17 +02:00
Matthew Honnibal
87f7ec34d5 Add test for #3880 2019-07-10 13:53:55 +02:00
Ines Montani
82045aac8a Merge regression tests 2019-07-10 12:49:18 +02:00
Ines Montani
570ab1f481 Fix handling of old entity ruler files
Expected an `entity_ruler.jsonl` file in the top-level model directory, so the path passed to from_disk by default (model path plus componentn name), but with the suffix ".jsonl".
2019-07-10 12:14:12 +02:00
Ines Montani
874d914a44 Tidy up test 2019-07-10 12:13:23 +02:00
Joshua Smith
2eb925bd05 Added an argument to EntityRuler constructor to pass attrs to… (#3919)
* Perserve flags in EntityRuler

The EntityRuler (explosion/spaCy#3526) does not preserve
overwrite flags (or `ent_id_sep`) when serialized.  This
commit adds support for serialization/deserialization preserving
overwrite and ent_id_sep flags.

* add signed contributor agreement

* flake8 cleanup

mostly blank line issues.

* mark test from the issue as needing a model

The test from the issue needs some language model for serialization
but the test wasn't originally marked correctly.

* Adds `phrase_matcher_attr` to allow args to PhraseMatcher

This is an added arg to pass to the `PhraseMatcher`. For example,
this allows creation of a case insensitive phrase matcher when the
`EntityRuler` is created.  References explosion/spaCy#3822

* remove unneeded model loading

The model didn't need to be loaded, and I replaced it with
a change that doesn't require it (using existings fixtures)

* updated docstring for new argument

* updated docs to reflect new argument to the EntityRuler constructor

* change tempdir handling to be compatible with python 2.7

* return conflicted code to entityruler

Some stuff got cut out because of merge conflicts, this
returns that code for the phrase_matcher_attr.

* fixed typo in the code added back after conflicts

* flake8 compliance

When I deconflicted the branch there were some flake8 issues
introduced. This resolves the spacing problems.

* test changes:  attempts to fix flaky test in python3.5

These tests seem to be alittle flaky in 3.5 so I changed the check to avoid
the comparisons that seem to be fail sometimes.
2019-07-09 20:09:17 +02:00
Joshua Smith
e8420ab2b7 Added support for serializing overwrite and ent_id_sep (#3918)
* Perserve flags in EntityRuler

The EntityRuler (explosion/spaCy#3526) does not preserve
overwrite flags (or `ent_id_sep`) when serialized.  This
commit adds support for serialization/deserialization preserving
overwrite and ent_id_sep flags.

* add signed contributor agreement

* flake8 cleanup

mostly blank line issues.

* mark test from the issue as needing a model

The test from the issue needs some language model for serialization
but the test wasn't originally marked correctly.

* remove unneeded model loading

The model didn't need to be loaded, and I replaced it with
a change that doesn't require it (using existings fixtures)

* change tempdir handling to be compatible with python 2.7

* Adds code to handle item saved before this change.

This code chanes how the save files are handled and how the bytes
are stored as well.  This code adds check to dispatch correctly
if it encounters bytes or files saved in the old format (and tests
for those cases).

* use util function for tempdir management

Updated after PR comments: this code now uses the make_tempdir function from util
instead of doing it by hand.
2019-07-08 17:28:28 +02:00
Ines Montani
6ccdf37574 Exclude user_data when copying doc in displaCy (closes #3882) 2019-06-26 14:37:05 +02:00
Ines Montani
f35ce09776 Add regression test for #3839 2019-06-12 13:38:30 +02:00
Ines Montani
aae9034492 Tidy up [ci skip] 2019-06-12 13:38:23 +02:00