* Remove blis version constraints
After updating the blis sdist in v0.7.4, remove python version
constraints for blis build and install dependencies.
* Install sdist with --prefer-binary for python 3.5
* Fix duplicate sdist install steps
* Fix sdist install step types
* Fix blis pins in requirements.txt
* Remove wheel hack for python 3.5 from CI
Remove the non-working `--use-chars` option from the train CLI. The
implementation of the option across component types and the CLI settings
could be fixed, but the `CharacterEmbed` model does not work on GPU in
v2 so it's better to remove it.
* Fix blis build dependencies
* Add blis with python_version constraints to pyproject.toml
* Add blis to setup_requires
* Remove --only-binary from CI
* Reduce number of builds to speed up CI
* Add hack to install wheel for python 3.5 in linux
* Remove os spec from CI
* Remove detailed numpy build constraints
* Remove detailed numpy build constraints from `pyproject.toml` because
it is too difficult to maintain for many architectures
* These constraints are more a reflection of what is available on
pypi as binary wheels rather than any real build requirements that
it is necessary for users to follow when building from source
* Users building their own binary packages will need to enforce the
constraints that make sense in their environments, e.g., the `conda`
compatible numpy pins
* Keep the build constraints in `build-constraints.txt` for use with our
builds
* Our builds with wheelwright are built against the earliest
compatible binary versions of numpy on pypi
* These constraints are documented within the distribution
* Revert "Remove os spec from CI"
This reverts commit 7489476688.
* Only set NORM on Token in retokenizer
Instead of setting `NORM` on both the token and lexeme, set `NORM` only
on the token.
The retokenizer tries to set all possible attributes with
`Token/Lexeme.set_struct_attr` so that it doesn't have to enumerate
which attributes are available for each. `NORM` is the only attribute
that's stored on both and for most cases it doesn't make sense to set
the global norms based on a individual retokenization. For lexeme-only
attributes like `IS_STOP` there's no way to avoid the global side
effects, but I think that `NORM` would be better only on the token.
* Fix test
* Dynamically include numpy headers
* Add `build-constraints.txt` with numpy version pins for building wheels with `pip` and `wheelwright`
* Update `setup.py` to add current numpy include directory
* Assume `cython` and `numpy` are installed for `setup.py`
* Remove included numpy headers
* Fix typo in requirements.txt
* Use script in CI
* Update blis and thinc version ranges
* Update thinc version range
* Update setup.cfg for python 3.9
* Adjust blis and thinc ranges
* Add python 3.9 classifier
* Update CI for python 3.9
* Add --prefer-binary to CI sdist install
* Update CI python 3.7 mac image
* Add --prefer-binary to Travis CI
* Update install instructions in README
* Specify blis versions separately for < / >= 3.6
* Update --prefer-binary in README
* Test cleaner sdist install
* Also upgrade pip
(This is kind of unnecessary given --prefer-binary but may avoid other
issues related to sdist installs in the future.)
* Compile with -j 2
* Remove wheel from setup_requires
* Update to have separate CI uninstall step
* Remove wheel from pyproject.toml
* Recommend upgrading setuptools in addition to pip
* Avoid a SyntaxError in self-attentive-parser
Fix a usage of quotation marks in the example of spaCy Universe self-attentive-parser
* Create forest1988.md
Fill in the spaCy contributor agreement
* Update pip in CI
* Use --prefer-binary
* Use `--prefer-binary`
* Delete all installed packages before testing source install
* sdist install with --only-binary :all:
For the `DependencyMatcher`:
* Fix on_match callback so that it is called once per matched pattern
* Fix results so that patterns with empty match lists are not returned
