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* Use README.md instead of README.rst
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# spaCy: Industrial-strength NLP
spaCy is a library for advanced Natural Language Processing in Python and
Cython. It's built on the very latest research, and was designed from day one
to be used in real products. spaCy comes with
[pre-trained statistical models](https://spacy.io/models) and word vectors, and
currently supports tokenization for **30+ languages**. It features the
**fastest syntactic parser** in the world, convolutional
**neural network models** for tagging, parsing and **named entity recognition**
and easy **deep learning** integration. It's commercial open-source software,
released under the MIT license.
💫 **Version 2.1 out now!** [Check out the release notes here.](https://github.com/explosion/spaCy/releases)
[![Travis Build Status](https://img.shields.io/travis/explosion/spaCy/master.svg?style=flat-square&logo=travis)](https://travis-ci.org/explosion/spaCy)
[![Appveyor Build Status](https://img.shields.io/appveyor/ci/explosion/spaCy/master.svg?style=flat-square&logo=appveyor)](https://ci.appveyor.com/project/explosion/spaCy)
[![Current Release Version](https://img.shields.io/github/release/explosion/spacy.svg?style=flat-square)](https://github.com/explosion/spaCy/releases)
[![pypi Version](https://img.shields.io/pypi/v/spacy.svg?style=flat-square)](https://pypi.python.org/pypi/spacy)
[![conda Version](https://img.shields.io/conda/vn/conda-forge/spacy.svg?style=flat-square)](https://anaconda.org/conda-forge/spacy)
[![Python wheels](https://img.shields.io/badge/wheels-%E2%9C%93-4c1.svg?longCache=true&style=flat-square&logo=python&logoColor=white)](https://github.com/explosion/wheelwright/releases)
[![spaCy on Twitter](https://img.shields.io/twitter/follow/spacy_io.svg?style=social&label=Follow)](https://twitter.com/spacy_io)
## 📖 Documentation
| Documentation | |
| --- | --- |
| [spaCy 101] | New to spaCy? Here's everything you need to know!
| [Usage Guides] | How to use spaCy and its features. |
| [New in v2.0] | New features, backwards incompatibilities and migration guide. |
| [API Reference] | The detailed reference for spaCy's API. |
| [Models] | Download statistical language models for spaCy. |
| [Universe] | Libraries, extensions, demos, books and courses. |
| [Changelog] | Changes and version history. |
| [Contribute] | How to contribute to the spaCy project and code base. |
[spaCy 101]: https://spacy.io/usage/spacy-101
[New in v2.0]: https://spacy.io/usage/v2#migrating
[Usage Guides]: https://spacy.io/usage/
[API Reference]: https://spacy.io/api/
[Models]: https://spacy.io/models
[Universe]: https://spacy.io/universe
[Changelog]: https://spacy.io/usage/#changelog
[Contribute]: https://github.com/explosion/spaCy/blob/master/CONTRIBUTING.md
## 💬 Where to ask questions
The spaCy project is maintained by [@honnibal](https://github.com/honnibal)
and [@ines](https://github.com/ines). Please understand that we won't be able
to provide individual support via email. We also believe that help is much more
valuable if it's shared publicly, so that more people can benefit from it.
* **Bug Reports**: [GitHub Issue Tracker]
* **Usage Questions**: [Stack Overflow] · [Gitter Chat] · [Reddit User Group]
* **General Discussion**: [Gitter Chat] · [Reddit User Group]
[GitHub Issue Tracker]: https://github.com/explosion/spaCy/issues
[Stack Overflow]: http://stackoverflow.com/questions/tagged/spacy
[Gitter Chat]: https://gitter.im/explosion/spaCy
[Reddit User Group]: https://www.reddit.com/r/spacynlp
## Features
* **Fastest syntactic parser** in the world
* **Named entity** recognition
* Non-destructive **tokenization**
* Support for **30+ languages**
* Pre-trained [statistical models](https://spacy.io/models) and word vectors
* Easy **deep learning** integration
* Part-of-speech tagging
* Labelled dependency parsing
* Syntax-driven sentence segmentation
* Built in **visualizers** for syntax and NER
* Convenient string-to-hash mapping
* Export to numpy data arrays
* Efficient binary serialization
* Easy **model packaging** and deployment
* State-of-the-art speed
* Robust, rigorously evaluated accuracy
📖 **For more details, see the
[facts, figures and benchmarks](https://spacy.io/usage/facts-figures).**
## Install spaCy
For detailed installation instructions, see the
[documentation](https://spacy.io/usage).
* **Operating system**: macOS / OS X · Linux · Windows (Cygwin, MinGW, Visual Studio)
* **Python version**: Python 2.7, 3.4+ (only 64 bit)
* **Package managers**: [pip] · [conda] (via `conda-forge`)
[pip]: https://pypi.python.org/pypi/spacy
[conda]: https://anaconda.org/conda-forge/spacy
### pip
Using pip, spaCy releases are available as source packages and binary wheels
(as of `v2.0.13`).
```bash
pip install spacy
```
When using pip it is generally recommended to install packages in a virtual
environment to avoid modifying system state:
```bash
python -m venv .env
source .env/bin/activate
pip install spacy
```
### conda
Thanks to our great community, we've finally re-added conda support. You can now
install spaCy via `conda-forge`:
```bash
conda config --add channels conda-forge
conda install spacy
```
For the feedstock including the build recipe and configuration,
check out [this repository](https://github.com/conda-forge/spacy-feedstock).
Improvements and pull requests to the recipe and setup are always appreciated.
### Updating spaCy
Some updates to spaCy may require downloading new statistical models. If you're
running spaCy v2.0 or higher, you can use the `validate` command to check if
your installed models are compatible and if not, print details on how to update
them:
```bash
pip install -U spacy
python -m spacy validate
```
If you've trained your own models, keep in mind that your training and runtime
inputs must match. After updating spaCy, we recommend **retraining your models**
with the new version.
📖 **For details on upgrading from spaCy 1.x to spaCy 2.x, see the
[migration guide](https://spacy.io/usage/v2#migrating).**
## Download models
As of v1.7.0, models for spaCy can be installed as **Python packages**.
This means that they're a component of your application, just like any
other module. Models can be installed using spaCy's `download` command,
or manually by pointing pip to a path or URL.
| Documentation | |
| --- | --- |
| [Available Models] | Detailed model descriptions, accuracy figures and benchmarks. |
| [Models Documentation] | Detailed usage instructions. |
[Available Models]: https://spacy.io/models
[Models Documentation]: https://spacy.io/docs/usage/models
```bash
# out-of-the-box: download best-matching default model
python -m spacy download en
# download best-matching version of specific model for your spaCy installation
python -m spacy download en_core_web_lg
# pip install .tar.gz archive from path or URL
pip install /Users/you/en_core_web_sm-2.0.0.tar.gz
```
### Loading and using models
To load a model, use `spacy.load()` with the model's shortcut link:
```python
import spacy
nlp = spacy.load('en')
doc = nlp(u'This is a sentence.')
```
If you've installed a model via pip, you can also `import` it directly and
then call its `load()` method:
```python
import spacy
import en_core_web_sm
nlp = en_core_web_sm.load()
doc = nlp(u'This is a sentence.')
```
📖 **For more info and examples, check out the
[models documentation](https://spacy.io/docs/usage/models).**
### Support for older versions
If you're using an older version (`v1.6.0` or below), you can still download
and install the old models from within spaCy using `python -m spacy.en.download all`
or `python -m spacy.de.download all`. The `.tar.gz` archives are also
[attached to the v1.6.0 release](https://github.com/explosion/spaCy/tree/v1.6.0).
To download and install the models manually, unpack the archive, drop the
contained directory into `spacy/data` and load the model via `spacy.load('en')`
or `spacy.load('de')`.
## Compile from source
The other way to install spaCy is to clone its
[GitHub repository](https://github.com/explosion/spaCy) and build it from
source. That is the common way if you want to make changes to the code base.
You'll need to make sure that you have a development environment consisting of a
Python distribution including header files, a compiler,
[pip](https://pip.pypa.io/en/latest/installing/),
[virtualenv](https://virtualenv.pypa.io/) and [git](https://git-scm.com)
installed. The compiler part is the trickiest. How to do that depends on your
system. See notes on Ubuntu, OS X and Windows for details.
```bash
# make sure you are using the latest pip
python -m pip install -U pip
git clone https://github.com/explosion/spaCy
cd spaCy
python -m venv .env
source .env/bin/activate
export PYTHONPATH=`pwd`
pip install -r requirements.txt
python setup.py build_ext --inplace
```
Compared to regular install via pip, [requirements.txt](requirements.txt)
additionally installs developer dependencies such as Cython. For more details
and instructions, see the documentation on
[compiling spaCy from source](https://spacy.io/usage/#source) and the
[quickstart widget](https://spacy.io/usage/#section-quickstart) to get
the right commands for your platform and Python version.
### Ubuntu
Install system-level dependencies via `apt-get`:
```bash
sudo apt-get install build-essential python-dev git
```
### macOS / OS X
Install a recent version of [XCode](https://developer.apple.com/xcode/),
including the so-called "Command Line Tools". macOS and OS X ship with Python
and git preinstalled.
### Windows
Install a version of the [Visual C++ Build Tools](https://visualstudio.microsoft.com/visual-cpp-build-tools/) or
[Visual Studio Express](https://www.visualstudio.com/vs/visual-studio-express/)
that matches the version that was used to compile your Python
interpreter. For official distributions these are VS 2008 (Python 2.7),
VS 2010 (Python 3.4) and VS 2015 (Python 3.5).
## Run tests
spaCy comes with an [extensive test suite](spacy/tests). In order to run the
tests, you'll usually want to clone the repository and build spaCy from source.
This will also install the required development dependencies and test utilities
defined in the `requirements.txt`.
Alternatively, you can find out where spaCy is installed and run `pytest` on
that directory. Don't forget to also install the test utilities via spaCy's
`requirements.txt`:
```bash
python -c "import os; import spacy; print(os.path.dirname(spacy.__file__))"
pip install -r path/to/requirements.txt
python -m pytest <spacy-directory>
```
See [the documentation](https://spacy.io/usage/#tests) for more details and
examples.

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@ -1,332 +0,0 @@
spaCy: Industrial-strength NLP
******************************
spaCy is a library for advanced Natural Language Processing in Python and Cython.
It's built on the very latest research, and was designed from day one to be
used in real products. spaCy comes with
`pre-trained statistical models <https://spacy.io/models>`_ and word
vectors, and currently supports tokenization for **20+ languages**. It features
the **fastest syntactic parser** in the world, convolutional **neural network models**
for tagging, parsing and **named entity recognition** and easy **deep learning**
integration. It's commercial open-source software, released under the MIT license.
💫 **Version 2.0 out now!** `Check out the new features here. <https://spacy.io/usage/v2>`_
.. image:: https://img.shields.io/travis/explosion/spaCy/master.svg?style=flat-square&logo=travis
:target: https://travis-ci.org/explosion/spaCy
:alt: Build Status
.. image:: https://img.shields.io/appveyor/ci/explosion/spaCy/master.svg?style=flat-square&logo=appveyor
:target: https://ci.appveyor.com/project/explosion/spaCy
:alt: Appveyor Build Status
.. image:: https://img.shields.io/github/release/explosion/spacy.svg?style=flat-square
:target: https://github.com/explosion/spaCy/releases
:alt: Current Release Version
.. image:: https://img.shields.io/pypi/v/spacy.svg?style=flat-square
:target: https://pypi.python.org/pypi/spacy
:alt: pypi Version
.. image:: https://img.shields.io/conda/vn/conda-forge/spacy.svg?style=flat-square
:target: https://anaconda.org/conda-forge/spacy
:alt: conda Version
.. image:: https://img.shields.io/badge/chat-join%20%E2%86%92-09a3d5.svg?style=flat-square&logo=gitter-white
:target: https://gitter.im/explosion/spaCy
:alt: spaCy on Gitter
.. image:: https://img.shields.io/twitter/follow/spacy_io.svg?style=social&label=Follow
:target: https://twitter.com/spacy_io
:alt: spaCy on Twitter
📖 Documentation
================
=================== ===
`spaCy 101`_ New to spaCy? Here's everything you need to know!
`Usage Guides`_ How to use spaCy and its features.
`New in v2.0`_ New features, backwards incompatibilities and migration guide.
`API Reference`_ The detailed reference for spaCy's API.
`Models`_ Download statistical language models for spaCy.
`Universe`_ Libraries, extensions, demos, books and courses.
`Changelog`_ Changes and version history.
`Contribute`_ How to contribute to the spaCy project and code base.
=================== ===
.. _spaCy 101: https://spacy.io/usage/spacy-101
.. _New in v2.0: https://spacy.io/usage/v2#migrating
.. _Usage Guides: https://spacy.io/usage/
.. _API Reference: https://spacy.io/api/
.. _Models: https://spacy.io/models
.. _Universe: https://spacy.io/universe
.. _Changelog: https://spacy.io/usage/#changelog
.. _Contribute: https://github.com/explosion/spaCy/blob/master/CONTRIBUTING.md
💬 Where to ask questions
==========================
The spaCy project is maintained by `@honnibal <https://github.com/honnibal>`_
and `@ines <https://github.com/ines>`_. Please understand that we won't be able
to provide individual support via email. We also believe that help is much more
valuable if it's shared publicly, so that more people can benefit from it.
====================== ===
**Bug Reports** `GitHub Issue Tracker`_
**Usage Questions** `StackOverflow`_, `Gitter Chat`_, `Reddit User Group`_
**General Discussion** `Gitter Chat`_, `Reddit User Group`_
====================== ===
.. _GitHub Issue Tracker: https://github.com/explosion/spaCy/issues
.. _StackOverflow: http://stackoverflow.com/questions/tagged/spacy
.. _Gitter Chat: https://gitter.im/explosion/spaCy
.. _Reddit User Group: https://www.reddit.com/r/spacynlp
Features
========
* **Fastest syntactic parser** in the world
* **Named entity** recognition
* Non-destructive **tokenization**
* Support for **20+ languages**
* Pre-trained `statistical models <https://spacy.io/models>`_ and word vectors
* Easy **deep learning** integration
* Part-of-speech tagging
* Labelled dependency parsing
* Syntax-driven sentence segmentation
* Built in **visualizers** for syntax and NER
* Convenient string-to-hash mapping
* Export to numpy data arrays
* Efficient binary serialization
* Easy **model packaging** and deployment
* State-of-the-art speed
* Robust, rigorously evaluated accuracy
📖 **For more details, see the** `facts, figures and benchmarks <https://spacy.io/usage/facts-figures>`_.
Install spaCy
=============
For detailed installation instructions, see
the `documentation <https://spacy.io/usage>`_.
==================== ===
**Operating system** macOS / OS X, Linux, Windows (Cygwin, MinGW, Visual Studio)
**Python version** CPython 2.7, 3.4+. Only 64 bit.
**Package managers** `pip`_ (source packages only), `conda`_ (via ``conda-forge``)
==================== ===
.. _pip: https://pypi.python.org/pypi/spacy
.. _conda: https://anaconda.org/conda-forge/spacy
pip
---
Using pip, spaCy releases are currently only available as source packages.
.. code:: bash
pip install spacy
When using pip it is generally recommended to install packages in a virtual
environment to avoid modifying system state:
.. code:: bash
python -m venv .env
source .env/bin/activate
pip install spacy
conda
-----
Thanks to our great community, we've finally re-added conda support. You can now
install spaCy via ``conda-forge``:
.. code:: bash
  conda config --add channels conda-forge
  conda install spacy
For the feedstock including the build recipe and configuration,
check out `this repository <https://github.com/conda-forge/spacy-feedstock>`_.
Improvements and pull requests to the recipe and setup are always appreciated.
Updating spaCy
--------------
Some updates to spaCy may require downloading new statistical models. If you're
running spaCy v2.0 or higher, you can use the ``validate`` command to check if
your installed models are compatible and if not, print details on how to update
them:
.. code:: bash
pip install -U spacy
python -m spacy validate
If you've trained your own models, keep in mind that your training and runtime
inputs must match. After updating spaCy, we recommend **retraining your models**
with the new version.
📖 **For details on upgrading from spaCy 1.x to spaCy 2.x, see the**
`migration guide <https://spacy.io/usage/v2#migrating>`_.
Download models
===============
As of v1.7.0, models for spaCy can be installed as **Python packages**.
This means that they're a component of your application, just like any
other module. Models can be installed using spaCy's ``download`` command,
or manually by pointing pip to a path or URL.
======================= ===
`Available Models`_ Detailed model descriptions, accuracy figures and benchmarks.
`Models Documentation`_ Detailed usage instructions.
======================= ===
.. _Available Models: https://spacy.io/models
.. _Models Documentation: https://spacy.io/docs/usage/models
.. code:: bash
# out-of-the-box: download best-matching default model
python -m spacy download en
# download best-matching version of specific model for your spaCy installation
python -m spacy download en_core_web_lg
# pip install .tar.gz archive from path or URL
pip install /Users/you/en_core_web_sm-2.0.0.tar.gz
If you have SSL certification problems, SSL customization options are described in the help:
# help for the download command
python -m spacy download --help
Loading and using models
------------------------
To load a model, use ``spacy.load()`` with the model's shortcut link:
.. code:: python
import spacy
nlp = spacy.load('en')
doc = nlp(u'This is a sentence.')
If you've installed a model via pip, you can also ``import`` it directly and
then call its ``load()`` method:
.. code:: python
import spacy
import en_core_web_sm
nlp = en_core_web_sm.load()
doc = nlp(u'This is a sentence.')
📖 **For more info and examples, check out the**
`models documentation <https://spacy.io/docs/usage/models>`_.
Support for older versions
--------------------------
If you're using an older version (``v1.6.0`` or below), you can still download
and install the old models from within spaCy using ``python -m spacy.en.download all``
or ``python -m spacy.de.download all``. The ``.tar.gz`` archives are also
`attached to the v1.6.0 release <https://github.com/explosion/spaCy/tree/v1.6.0>`_.
To download and install the models manually, unpack the archive, drop the
contained directory into ``spacy/data`` and load the model via ``spacy.load('en')``
or ``spacy.load('de')``.
Compile from source
===================
The other way to install spaCy is to clone its
`GitHub repository <https://github.com/explosion/spaCy>`_ and build it from
source. That is the common way if you want to make changes to the code base.
You'll need to make sure that you have a development environment consisting of a
Python distribution including header files, a compiler,
`pip <https://pip.pypa.io/en/latest/installing/>`__, `virtualenv <https://virtualenv.pypa.io/>`_
and `git <https://git-scm.com>`_ installed. The compiler part is the trickiest.
How to do that depends on your system. See notes on Ubuntu, OS X and Windows for
details.
.. code:: bash
# make sure you are using the latest pip
python -m pip install -U pip
git clone https://github.com/explosion/spaCy
cd spaCy
python -m venv .env
source .env/bin/activate
export PYTHONPATH=`pwd`
pip install -r requirements.txt
python setup.py build_ext --inplace
Compared to regular install via pip, `requirements.txt <requirements.txt>`_
additionally installs developer dependencies such as Cython. For more details
and instructions, see the documentation on
`compiling spaCy from source <https://spacy.io/usage/#source>`_ and the
`quickstart widget <https://spacy.io/usage/#section-quickstart>`_ to get
the right commands for your platform and Python version.
Instead of the above verbose commands, you can also use the following
`Fabric <http://www.fabfile.org/>`_ commands. All commands assume that your
virtual environment is located in a directory ``.env``. If you're using a
different directory, you can change it via the environment variable ``VENV_DIR``,
for example ``VENV_DIR=".custom-env" fab clean make``.
============= ===
``fab env`` Create virtual environment and delete previous one, if it exists.
``fab make`` Compile the source.
``fab clean`` Remove compiled objects, including the generated C++.
``fab test`` Run basic tests, aborting after first failure.
============= ===
Ubuntu
------
Install system-level dependencies via ``apt-get``:
.. code:: bash
sudo apt-get install build-essential python-dev git
macOS / OS X
------------
Install a recent version of `XCode <https://developer.apple.com/xcode/>`_,
including the so-called "Command Line Tools". macOS and OS X ship with Python
and git preinstalled.
Windows
-------
Install a version of `Visual Studio Express <https://www.visualstudio.com/vs/visual-studio-express/>`_
or higher that matches the version that was used to compile your Python
interpreter. For official distributions these are VS 2008 (Python 2.7),
VS 2010 (Python 3.4) and VS 2015 (Python 3.5).
Run tests
=========
spaCy comes with an `extensive test suite <spacy/tests>`_. In order to run the
tests, you'll usually want to clone the repository and build spaCy from source.
This will also install the required development dependencies and test utilities
defined in the ``requirements.txt``.
Alternatively, you can find out where spaCy is installed and run ``pytest`` on
that directory. Don't forget to also install the test utilities via spaCy's
``requirements.txt``:
.. code:: bash
python -c "import os; import spacy; print(os.path.dirname(spacy.__file__))"
pip install -r path/to/requirements.txt
python -m pytest <spacy-directory>
See `the documentation <https://spacy.io/usage/#tests>`_ for more details and
examples.

245
setup.py
View File

@ -11,72 +11,68 @@ from distutils import ccompiler, msvccompiler
from setuptools import Extension, setup, find_packages from setuptools import Extension, setup, find_packages
PACKAGE_DATA = {'': ['*.pyx', '*.pxd', '*.txt', '*.tokens']} PACKAGE_DATA = {"": ["*.pyx", "*.pxd", "*.txt", "*.tokens"]}
PACKAGES = find_packages() PACKAGES = find_packages()
MOD_NAMES = [ MOD_NAMES = [
'spacy._align', "spacy._align",
'spacy.parts_of_speech', "spacy.parts_of_speech",
'spacy.strings', "spacy.strings",
'spacy.lexeme', "spacy.lexeme",
'spacy.vocab', "spacy.vocab",
'spacy.attrs', "spacy.attrs",
'spacy.morphology', "spacy.morphology",
'spacy.pipeline', "spacy.pipeline",
'spacy.syntax.stateclass', "spacy.syntax.stateclass",
'spacy.syntax._state', "spacy.syntax._state",
'spacy.tokenizer', "spacy.tokenizer",
'spacy.syntax.nn_parser', "spacy.syntax.nn_parser",
'spacy.syntax._parser_model', "spacy.syntax._parser_model",
'spacy.syntax._beam_utils', "spacy.syntax._beam_utils",
'spacy.syntax.nonproj', "spacy.syntax.nonproj",
'spacy.syntax.transition_system', "spacy.syntax.transition_system",
'spacy.syntax.arc_eager', "spacy.syntax.arc_eager",
'spacy.gold', "spacy.gold",
'spacy.tokens.doc', "spacy.tokens.doc",
'spacy.tokens.span', "spacy.tokens.span",
'spacy.tokens.token', "spacy.tokens.token",
'spacy.tokens._retokenize', "spacy.tokens._retokenize",
'spacy.matcher', "spacy.matcher",
'spacy.syntax.ner', "spacy.syntax.ner",
'spacy.symbols', "spacy.symbols",
'spacy.vectors', "spacy.vectors",
] ]
COMPILE_OPTIONS = { COMPILE_OPTIONS = {
'msvc': ['/Ox', '/EHsc'], "msvc": ["/Ox", "/EHsc"],
'mingw32' : ['-O2', '-Wno-strict-prototypes', '-Wno-unused-function'], "mingw32": ["-O2", "-Wno-strict-prototypes", "-Wno-unused-function"],
'other' : ['-O2', '-Wno-strict-prototypes', '-Wno-unused-function'] "other": ["-O2", "-Wno-strict-prototypes", "-Wno-unused-function"],
} }
LINK_OPTIONS = { LINK_OPTIONS = {"msvc": [], "mingw32": [], "other": []}
'msvc' : [],
'mingw32': [],
'other' : []
}
# I don't understand this very well yet. See Issue #267 # I don't understand this very well yet. See Issue #267
# Fingers crossed! # Fingers crossed!
USE_OPENMP_DEFAULT = '0' if sys.platform != 'darwin' else None USE_OPENMP_DEFAULT = "0" if sys.platform != "darwin" else None
if os.environ.get('USE_OPENMP', USE_OPENMP_DEFAULT) == '1': if os.environ.get("USE_OPENMP", USE_OPENMP_DEFAULT) == "1":
if sys.platform == 'darwin': if sys.platform == "darwin":
COMPILE_OPTIONS['other'].append('-fopenmp') COMPILE_OPTIONS["other"].append("-fopenmp")
LINK_OPTIONS['other'].append('-fopenmp') LINK_OPTIONS["other"].append("-fopenmp")
PACKAGE_DATA['spacy.platform.darwin.lib'] = ['*.dylib'] PACKAGE_DATA["spacy.platform.darwin.lib"] = ["*.dylib"]
PACKAGES.append('spacy.platform.darwin.lib') PACKAGES.append("spacy.platform.darwin.lib")
elif sys.platform == 'win32': elif sys.platform == "win32":
COMPILE_OPTIONS['msvc'].append('/openmp') COMPILE_OPTIONS["msvc"].append("/openmp")
else: else:
COMPILE_OPTIONS['other'].append('-fopenmp') COMPILE_OPTIONS["other"].append("-fopenmp")
LINK_OPTIONS['other'].append('-fopenmp') LINK_OPTIONS["other"].append("-fopenmp")
# By subclassing build_extensions we have the actual compiler that will be used which is really known only after finalize_options # By subclassing build_extensions we have the actual compiler that will be used which is really known only after finalize_options
@ -85,10 +81,12 @@ class build_ext_options:
def build_options(self): def build_options(self):
for e in self.extensions: for e in self.extensions:
e.extra_compile_args += COMPILE_OPTIONS.get( e.extra_compile_args += COMPILE_OPTIONS.get(
self.compiler.compiler_type, COMPILE_OPTIONS['other']) self.compiler.compiler_type, COMPILE_OPTIONS["other"]
)
for e in self.extensions: for e in self.extensions:
e.extra_link_args += LINK_OPTIONS.get( e.extra_link_args += LINK_OPTIONS.get(
self.compiler.compiler_type, LINK_OPTIONS['other']) self.compiler.compiler_type, LINK_OPTIONS["other"]
)
class build_ext_subclass(build_ext, build_ext_options): class build_ext_subclass(build_ext, build_ext_options):
@ -98,22 +96,23 @@ class build_ext_subclass(build_ext, build_ext_options):
def generate_cython(root, source): def generate_cython(root, source):
print('Cythonizing sources') print("Cythonizing sources")
p = subprocess.call([sys.executable, p = subprocess.call(
os.path.join(root, 'bin', 'cythonize.py'), [sys.executable, os.path.join(root, "bin", "cythonize.py"), source],
source], env=os.environ) env=os.environ,
)
if p != 0: if p != 0:
raise RuntimeError('Running cythonize failed') raise RuntimeError("Running cythonize failed")
def is_source_release(path): def is_source_release(path):
return os.path.exists(os.path.join(path, 'PKG-INFO')) return os.path.exists(os.path.join(path, "PKG-INFO"))
def clean(path): def clean(path):
for name in MOD_NAMES: for name in MOD_NAMES:
name = name.replace('.', '/') name = name.replace(".", "/")
for ext in ['.so', '.html', '.cpp', '.c']: for ext in [".so", ".html", ".cpp", ".c"]:
file_path = os.path.join(path, name + ext) file_path = os.path.join(path, name + ext)
if os.path.exists(file_path): if os.path.exists(file_path):
os.unlink(file_path) os.unlink(file_path)
@ -134,100 +133,110 @@ def chdir(new_dir):
def setup_package(): def setup_package():
root = os.path.abspath(os.path.dirname(__file__)) root = os.path.abspath(os.path.dirname(__file__))
if len(sys.argv) > 1 and sys.argv[1] == 'clean': if len(sys.argv) > 1 and sys.argv[1] == "clean":
return clean(root) return clean(root)
with chdir(root): with chdir(root):
with io.open(os.path.join(root, 'spacy', 'about.py'), encoding='utf8') as f: with io.open(os.path.join(root, "spacy", "about.py"), encoding="utf8") as f:
about = {} about = {}
exec(f.read(), about) exec(f.read(), about)
with io.open(os.path.join(root, 'README.rst'), encoding='utf8') as f: with io.open(os.path.join(root, "README.md"), encoding="utf8") as f:
readme = f.read() readme = f.read()
include_dirs = [ include_dirs = [
get_python_inc(plat_specific=True), get_python_inc(plat_specific=True),
os.path.join(root, 'include')] os.path.join(root, "include"),
]
if (ccompiler.new_compiler().compiler_type == 'msvc' if (
and msvccompiler.get_build_version() == 9): ccompiler.new_compiler().compiler_type == "msvc"
include_dirs.append(os.path.join(root, 'include', 'msvc9')) and msvccompiler.get_build_version() == 9
):
include_dirs.append(os.path.join(root, "include", "msvc9"))
ext_modules = [] ext_modules = []
for mod_name in MOD_NAMES: for mod_name in MOD_NAMES:
mod_path = mod_name.replace('.', '/') + '.cpp' mod_path = mod_name.replace(".", "/") + ".cpp"
extra_link_args = [] extra_link_args = []
# ??? # ???
# Imported from patch from @mikepb # Imported from patch from @mikepb
# See Issue #267. Running blind here... # See Issue #267. Running blind here...
if sys.platform == 'darwin': if sys.platform == "darwin":
dylib_path = ['..' for _ in range(mod_name.count('.'))] dylib_path = [".." for _ in range(mod_name.count("."))]
dylib_path = '/'.join(dylib_path) dylib_path = "/".join(dylib_path)
dylib_path = '@loader_path/%s/spacy/platform/darwin/lib' % dylib_path dylib_path = "@loader_path/%s/spacy/platform/darwin/lib" % dylib_path
extra_link_args.append('-Wl,-rpath,%s' % dylib_path) extra_link_args.append("-Wl,-rpath,%s" % dylib_path)
ext_modules.append( ext_modules.append(
Extension(mod_name, [mod_path], Extension(
language='c++', include_dirs=include_dirs, mod_name,
extra_link_args=extra_link_args)) [mod_path],
language="c++",
include_dirs=include_dirs,
extra_link_args=extra_link_args,
)
)
if not is_source_release(root): if not is_source_release(root):
generate_cython(root, 'spacy') generate_cython(root, "spacy")
setup( setup(
name=about['__title__'], name=about["__title__"],
zip_safe=False, zip_safe=False,
packages=PACKAGES, packages=PACKAGES,
package_data=PACKAGE_DATA, package_data=PACKAGE_DATA,
description=about['__summary__'], description=about["__summary__"],
long_description=readme, long_description=readme,
author=about['__author__'], long_description_content_type="text/markdown",
author_email=about['__email__'], author=about["__author__"],
version=about['__version__'], author_email=about["__email__"],
url=about['__uri__'], version=about["__version__"],
license=about['__license__'], url=about["__uri__"],
license=about["__license__"],
ext_modules=ext_modules, ext_modules=ext_modules,
scripts=['bin/spacy'], scripts=["bin/spacy"],
install_requires=[ install_requires=[
'numpy>=1.15.0', "numpy>=1.15.0",
'murmurhash>=0.28,<0.29', "murmurhash>=0.28,<0.29",
'cymem>=1.30,<1.32', "cymem>=1.30,<1.32",
'preshed>=1.0.0,<2.0.0', "preshed>=1.0.0,<2.0.0",
'thinc>=6.11.2,<6.12.0', "thinc>=6.11.2,<6.12.0",
'plac<1.0.0,>=0.9.6', "plac<1.0.0,>=0.9.6",
'ujson>=1.35', "ujson>=1.35",
'regex==2017.4.5', "regex==2017.4.5",
'dill>=0.2,<0.3', "dill>=0.2,<0.3",
'requests>=2.13.0,<3.0.0', "requests>=2.13.0,<3.0.0",
'pathlib==1.0.1; python_version < "3.4"'], 'pathlib==1.0.1; python_version < "3.4"',
setup_requires=['wheel'], ],
setup_requires=["wheel"],
extras_require={ extras_require={
'cuda': ['cupy>=4.0'], "cuda": ["cupy>=4.0"],
'cuda80': ['cupy-cuda80>=4.0'], "cuda80": ["cupy-cuda80>=4.0"],
'cuda90': ['cupy-cuda90>=4.0'], "cuda90": ["cupy-cuda90>=4.0"],
'cuda91': ['cupy-cuda91>=4.0'], "cuda91": ["cupy-cuda91>=4.0"],
}, },
classifiers=[ classifiers=[
'Development Status :: 5 - Production/Stable', "Development Status :: 5 - Production/Stable",
'Environment :: Console', "Environment :: Console",
'Intended Audience :: Developers', "Intended Audience :: Developers",
'Intended Audience :: Science/Research', "Intended Audience :: Science/Research",
'License :: OSI Approved :: MIT License', "License :: OSI Approved :: MIT License",
'Operating System :: POSIX :: Linux', "Operating System :: POSIX :: Linux",
'Operating System :: MacOS :: MacOS X', "Operating System :: MacOS :: MacOS X",
'Operating System :: Microsoft :: Windows', "Operating System :: Microsoft :: Windows",
'Programming Language :: Cython', "Programming Language :: Cython",
'Programming Language :: Python :: 2', "Programming Language :: Python :: 2",
'Programming Language :: Python :: 2.7', "Programming Language :: Python :: 2.7",
'Programming Language :: Python :: 3', "Programming Language :: Python :: 3",
'Programming Language :: Python :: 3.4', "Programming Language :: Python :: 3.4",
'Programming Language :: Python :: 3.5', "Programming Language :: Python :: 3.5",
'Programming Language :: Python :: 3.6', "Programming Language :: Python :: 3.6",
'Programming Language :: Python :: 3.7', "Programming Language :: Python :: 3.7",
'Topic :: Scientific/Engineering'], "Topic :: Scientific/Engineering",
cmdclass = { ],
'build_ext': build_ext_subclass}, cmdclass={"build_ext": build_ext_subclass},
) )
if __name__ == '__main__': if __name__ == "__main__":
setup_package() setup_package()