Preserve `token.spacy` corresponding to the span end token in the
original doc rather than adjusting for the current offset.
* If not modifying in place, this checks in the original document
(`doc.c` rather than `tokens`).
* If modifying in place, the document has not been modified past the
current span start position so the value at the current span end
position is valid.
* When checking for token alignments, check not only that the tokens are
identical but that the character positions are both at the start of a
token.
It's possible for the tokens to be identical even though the two
tokens aren't aligned one-to-one in a case like `["a'", "''"]` vs.
`["a", "''", "'"]`, where the middle tokens are identical but should not
be aligned on the token level at character position 2 since it's the
start of one token but the middle of another.
* Use the lowercased version of the token texts to create the
character-to-token alignment because lowercasing can change the string
length (e.g., for `İ`, see the not-a-bug bug report:
https://bugs.python.org/issue34723)
* 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
* Don't recommend an editable install in the default source
instructions.
* Use `pip install --no-build-isolation` for editable installs.
* Remove reference to `virtualenv`.
* 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
* 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
