Commit Graph

42 Commits

Author SHA1 Message Date
Adriane Boyd
4aa1a7d5a3
Remove unsupported attrs from attrs.IDS (#8132)
The attributes `PROB`, `CLUSTER` and `SENT_END` are not supported by
`Lexeme.get_struct_attr` so should not be included through `attrs.IDS`
as supported attributes in `Doc.to_array` and other methods.
2021-06-02 19:16:57 +10:00
Adriane Boyd
36ecba224e
Set up GPU CI testing (#7293)
* Set up CI for tests with GPU agent

* Update tests for enabled GPU

* Fix steps filename

* Add parallel build jobs as a setting

* Fix test requirements

* Fix install test requirements condition

* Fix pipeline models test

* Reset current ops in prefer/require testing

* Fix more tests

* Remove separate test_models test

* Fix regression 5551

* fix StaticVectors for GPU use

* fix vocab tests

* Fix regression test 5082

* Move azure steps to .github and reenable default pool jobs

* Consolidate/rename azure steps

Co-authored-by: svlandeg <sofie.vanlandeghem@gmail.com>
2021-04-22 14:58:29 +02:00
Ines Montani
9ba715ed16 Tidy up and auto-format 2021-02-13 12:55:56 +11:00
melonwater211
a7977b5143
The test spacy/tests/vocab_vectors/test_lexeme.py::test_vocab_lexeme_add_flag_auto_id seems to fail occasionally when the test suite is run in a random order. (#6956)
```python
    def test_vocab_lexeme_add_flag_auto_id(en_vocab):
        is_len4 = en_vocab.add_flag(lambda string: len(string) == 4)
        assert en_vocab["1999"].check_flag(is_len4) is True
        assert en_vocab["1999"].check_flag(IS_DIGIT) is True
        assert en_vocab["199"].check_flag(is_len4) is False
>       assert en_vocab["199"].check_flag(IS_DIGIT) is True
E       assert False is True
E        +  where False = <built-in method check_flag of spacy.lexeme.Lexeme object at 0x7fa155c36840>(3)
E        +    where <built-in method check_flag of spacy.lexeme.Lexeme object at 0x7fa155c36840> = <spacy.lexeme.Lexeme object at 0x7fa155c36840>.check_flag

spacy/tests/vocab_vectors/test_lexeme.py:49: AssertionError
```

>  `pytest==6.1.1`
>
>  `numpy==1.19.2`
>
> `Python version: 3.8.3`

To reproduce the error, run `pytest --random-order-bucket=global --random-order-seed=170158 -v spacy/tests`

If `test_vocab_lexeme_add_flag_auto_id` is run after `test_vocab_lexeme_add_flag_provided_id`, it fails.
It seems like `test_vocab_lexeme_add_flag_provided_id` uses the `IS_DIGIT` bit for testing purposes but does not reset the bit.

This solution seems to work but, if anyone has a better fix, please let me know and I will integrate it.
2021-02-07 07:51:34 +08:00
svlandeg
a6a68da673 unskipping tests with python >= 3.6 2020-12-30 18:46:43 +01:00
Ines Montani
311d0bde29
Merge pull request #5788 from explosion/master-tmp 2020-07-20 15:39:24 +02:00
Ines Montani
644074b954 Merge branch 'develop' into master-tmp 2020-07-20 14:58:04 +02:00
Sofie Van Landeghem
c9da9605f7
Test suite clean up (#5781)
* step_through tests: skip instead of xfail

* test_empty_doc should be fixed with new Thinc version

* remove outdated test (there are other misaligned tests now)

* xfail reason

* fix test according to french exceptions

* clarified some skipped tests

* skip ukranian test instead of xfail

* skip instead of xfail

* skip + reason instead of xfail

* removed obsolete tests referring to removed "set_frozen" functionality

* fix test 999

* remove unused AlignmentError

* remove xfail where possible, skip otherwise

* increment thinc release for empty_doc test
2020-07-20 14:49:54 +02:00
Adriane Boyd
d94e961f14
Fix polarity of Token.is_oov and Lexeme.is_oov (#5634)
Fix `Token.is_oov` and `Lexeme.is_oov` so they return `True` when the
lexeme does **not** have a vector.
2020-06-23 13:29:51 +02:00
Ines Montani
c685ee734a Fix compat for v2.x branch 2020-05-22 14:22:36 +02:00
Ines Montani
24f72c669c Merge branch 'develop' into master-tmp 2020-05-21 18:39:06 +02:00
Ines Montani
d8f3190c0a Tidy up and auto-format 2020-05-21 14:14:01 +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
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
adrianeboyd
113e7981d0
Check that row is within bounds when adding vector (#5430)
Check that row is within bounds for the vector data array when adding a
vector.

Don't add vectors with rank OOV_RANK in `init-model` (change is due to
shift from OOV as 0 to OOV as OOV_RANK).
2020-05-13 22:08:28 +02:00
adrianeboyd
98c59027ed
Use max(uint64) for OOV lexeme rank (#5303)
* Use max(uint64) for OOV lexeme rank

* Add test for default OOV rank

* Revert back to thinc==7.4.0

Requiring the updated version of thinc was unnecessary.

* Define OOV_RANK in one place

Define OOV_RANK in one place in `util`.

* Fix formatting [ci skip]

* Switch to external definitions of max(uint64)

Switch to external defintions of max(uint64) and confirm that they are
equal.
2020-04-15 13:49:47 +02:00
adrianeboyd
963bd890c1
Modify Vector.resize to work with cupy and improve resizing (#5216)
* Modify Vector.resize to work with cupy

Modify `Vectors.resize` to work with cupy. Modify behavior when resizing
to a different vector dimension so that individual vectors are truncated
or extended with zeros instead of having the original values filled into
the new shape without regard for the original axes.

* Update spacy/tests/vocab_vectors/test_vectors.py

Co-Authored-By: Matthew Honnibal <honnibal+gh@gmail.com>

Co-authored-by: Matthew Honnibal <honnibal+gh@gmail.com>
2020-03-29 13:51:20 +02:00
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
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
Matthew Honnibal
9489c5f6b2 Clip most_similar to range [-1, 1] (fixes #4506) (#4507)
* Clip most_similar to range [-1, 1]

* Add/fix vectors tests

* Fix test
2019-10-22 20:10:42 +02:00
Ines Montani
74a19aeb1c Add xfailing test [ci skip] 2019-10-22 18:18:43 +02:00
Ines Montani
181c01f629 Tidy up and auto-format 2019-10-18 11:27:38 +02:00
Daniel King
e646956176 Most similar bug (#4446)
* Add batch size indexing

* Don't sort if n == 1

* Add test for most similar vectors issue

* Change > to >=
2019-10-16 23:18:55 +02:00
Ben Taylor
1db79a33cb most_similar() return the k most similar vectors (#4364)
* most_similar return n-most similar vectors

* updated most_similar comment

* add bintay contributor agreement

* sign bintay contributor agreement

* fix most_similar documentation typo

* fixed error in prune_vectors

* updated prune_vectors test
2019-10-03 14:09:44 +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
Ines Montani
f2c8b1e362 Simplify lookup hashing
Just use get_string_id, which already does everything ensure_hash was supposed to do
2019-09-18 20:24:41 +02:00
Ines Montani
139428c20f Set unique vector names in tests 2019-09-16 15:16:54 +02:00
Ines Montani
bab9976d9a
💫 Adjust Table API and add docs (#4289)
* Adjust Table API and add docs

* Add attributes and update description [ci skip]

* Use strings.get_string_id instead of hash_string

* Fix table method calls

* Make orth arg in Lemmatizer.lookup optional

Fall back to string, which is now handled by Table.__contains__ out-of-the-box

* Fix method name

* Auto-format
2019-09-15 22:08:13 +02:00
Ines Montani
88a9d87f6f Fix test 2019-09-15 18:04:44 +02:00
Ines Montani
7194845234 Skip tests properly instead of xfailing them 2019-09-15 17:00:17 +02:00
Ines Montani
3126dd0904 Tidy up and auto-format [ci skip] 2019-09-14 12:58:06 +02:00
Paul O'Leary McCann
7d8df69158 Bloom-filter backed Lookup Tables (#4268)
* 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

* Update docstrings

* Update docstrings and errors

* Update test

* Add Lookups.__len__

* Add serialization methods

* Add Lookups.remove_table

* Use msgpack for serialization to disk

* Fix file exists check

* Try using OrderedDict for everything

* Update .flake8 [ci skip]

* Try fixing serialization

* Update test_lookups.py

* Update test_serialize_vocab_strings.py

* Lookups / Tables now work

This implements the stubs in the Lookups/Table classes. Currently this
is in Cython but with no type declarations, so that could be improved.

* Add lookups to setup.py

* Actually add lookups pyx

The previous commit added the old py file...

* Lookups work-in-progress

* Move from pyx back to py

* Add string based lookups, fix serialization

* Update tests, language/lemmatizer to work with string lookups

There are some outstanding issues here:

- a pickling-related test fails due to the bloom filter
- some custom lemmatizers (fr/nl at least) have issues

More generally, there's a question of how to deal with the case where
you have a string but want to use the lookup table. Currently the table
allows access by string or id, but that's getting pretty awkward.

* Change lemmatizer lookup method to pass (orth, string)

* Fix token lookup

* Fix French lookup

* Fix lt lemmatizer test

* Fix Dutch lemmatizer

* Fix lemmatizer lookup test

This was using a normal dict instead of a Table, so checks for the
string instead of an integer key failed.

* Make uk/nl/ru lemmatizer lookup methods consistent

The mentioned tokenizers all have their own implementation of the
`lookup` method, which accesses a `Lookups` table. The way that was
called in `token.pyx` was changed so this should be updated to have the
same arguments as `lookup` in `lemmatizer.py` (specificially (orth/id,
string)).

Prior to this change tests weren't failing, but there would probably be
issues with normal use of a model. More tests should proably be added.

Additionally, the language-specific `lookup` implementations seem like
they might not be needed, since they handle things like lower-casing
that aren't actually language specific.

* Make recently added Greek method compatible

* Remove redundant class/method

Leftovers from a merge not cleaned up adequately.
2019-09-12 17:26:11 +02:00
Ines Montani
6279d74c65 Tidy up and auto-format 2019-09-11 11:38:22 +02:00
Ines Montani
3e8f136ba7 💫 WIP: Basic lookup class scaffolding and JSON for all lemmatizer data (#4178)
* 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

* Update docstrings

* Update docstrings and errors

* Update test

* Add Lookups.__len__

* Add serialization methods

* Add Lookups.remove_table

* Use msgpack for serialization to disk

* Fix file exists check

* Try using OrderedDict for everything

* Update .flake8 [ci skip]

* Try fixing serialization

* Update test_lookups.py

* Update test_serialize_vocab_strings.py

* Fix serialization for lookups

* Fix lookups

* Fix lookups

* Fix lookups

* Try to fix serialization

* Try to fix serialization

* Try to fix serialization

* Try to fix serialization

* Give up on serialization test

* Xfail more serialization tests for 3.5

* Fix lookups for 2.7
2019-09-09 19:17:55 +02:00
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
Ines Montani
c5a407e95a Fix code style 2019-03-11 15:28:22 +01:00
Matthew Honnibal
39a4741e26 Add support for vocab.writing_system property (#3390)
* Add xfail test for vocab.writing_system

* Add vocab.writing_system property

* Set Language.Defaults.writing_system

* Set default writing system

* Remove xfail on test_vocab_writing_system
2019-03-11 15:23:20 +01:00
Ines Montani
fe39fd4d13 Make warning tests more explicit 2019-02-10 14:02:19 +01:00
Ines Montani
323fc26880 Tidy up and format remaining files 2018-11-30 17:43:08 +01:00
Ines Montani
b6e991440c 💫 Tidy up and auto-format tests (#2967)
* Auto-format tests with black

* Add flake8 config

* Tidy up and remove unused imports

* Fix redefinitions of test functions

* Replace orths_and_spaces with words and spaces

* Fix compatibility with pytest 4.0

* xfail test for now

Test was previously overwritten by following test due to naming conflict, so failure wasn't reported

* Unfail passing test

* Only use fixture via arguments

Fixes pytest 4.0 compatibility
2018-11-27 01:09:36 +01:00
Ines Montani
75f3234404
💫 Refactor test suite (#2568)
## Description

Related issues: #2379 (should be fixed by separating model tests)

* **total execution time down from > 300 seconds to under 60 seconds** 🎉
* removed all model-specific tests that could only really be run manually anyway – those will now live in a separate test suite in the [`spacy-models`](https://github.com/explosion/spacy-models) repository and are already integrated into our new model training infrastructure
* changed all relative imports to absolute imports to prepare for moving the test suite from `/spacy/tests` to `/tests` (it'll now always test against the installed version)
* merged old regression tests into collections, e.g. `test_issue1001-1500.py` (about 90% of the regression tests are very short anyways)
* tidied up and rewrote existing tests wherever possible

### Todo

- [ ] move tests to `/tests` and adjust CI commands accordingly
- [x] move model test suite from internal repo to `spacy-models`
- [x] ~~investigate why `pipeline/test_textcat.py` is flakey~~
- [x] review old regression tests (leftover files) and see if they can be merged, simplified or deleted
- [ ] update documentation on how to run tests


### Types of change
enhancement, tests

## 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.
- [ ] My changes don't require a change to the documentation, or if they do, I've added all required information.
2018-07-24 23:38:44 +02:00