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README.md
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# spaCy: Industrial-strength NLP
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spaCy is a library for advanced Natural Language Processing in Python and
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Cython. It's built on the very latest research, and was designed from day one
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to be used in real products. spaCy comes with
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[pre-trained statistical models](https://spacy.io/models) and word vectors, and
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currently supports tokenization for **30+ languages**. It features the
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**fastest syntactic parser** in the world, convolutional
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**neural network models** for tagging, parsing and **named entity recognition**
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and easy **deep learning** integration. It's commercial open-source software,
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released under the MIT license.
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💫 **Version 2.1 out now!** [Check out the release notes here.](https://github.com/explosion/spaCy/releases)
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[](https://travis-ci.org/explosion/spaCy)
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[](https://ci.appveyor.com/project/explosion/spaCy)
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[](https://github.com/explosion/spaCy/releases)
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[](https://pypi.python.org/pypi/spacy)
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[](https://anaconda.org/conda-forge/spacy)
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[](https://github.com/explosion/wheelwright/releases)
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[](https://twitter.com/spacy_io)
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## 📖 Documentation
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| Documentation | |
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| --- | --- |
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| [spaCy 101] | New to spaCy? Here's everything you need to know!
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|
| [Usage Guides] | How to use spaCy and its features. |
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|
| [New in v2.0] | New features, backwards incompatibilities and migration guide. |
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|
| [API Reference] | The detailed reference for spaCy's API. |
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|
| [Models] | Download statistical language models for spaCy. |
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|
| [Universe] | Libraries, extensions, demos, books and courses. |
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| [Changelog] | Changes and version history. |
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| [Contribute] | How to contribute to the spaCy project and code base. |
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|
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[spaCy 101]: https://spacy.io/usage/spacy-101
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[New in v2.0]: https://spacy.io/usage/v2#migrating
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[Usage Guides]: https://spacy.io/usage/
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[API Reference]: https://spacy.io/api/
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[Models]: https://spacy.io/models
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[Universe]: https://spacy.io/universe
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[Changelog]: https://spacy.io/usage/#changelog
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[Contribute]: https://github.com/explosion/spaCy/blob/master/CONTRIBUTING.md
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## 💬 Where to ask questions
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The spaCy project is maintained by [@honnibal](https://github.com/honnibal)
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and [@ines](https://github.com/ines). Please understand that we won't be able
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|
to provide individual support via email. We also believe that help is much more
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|
valuable if it's shared publicly, so that more people can benefit from it.
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|
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* **Bug Reports**: [GitHub Issue Tracker]
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* **Usage Questions**: [Stack Overflow] · [Gitter Chat] · [Reddit User Group]
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* **General Discussion**: [Gitter Chat] · [Reddit User Group]
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|
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[GitHub Issue Tracker]: https://github.com/explosion/spaCy/issues
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[Stack Overflow]: http://stackoverflow.com/questions/tagged/spacy
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[Gitter Chat]: https://gitter.im/explosion/spaCy
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[Reddit User Group]: https://www.reddit.com/r/spacynlp
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## Features
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* **Fastest syntactic parser** in the world
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* **Named entity** recognition
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* Non-destructive **tokenization**
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* Support for **30+ languages**
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* Pre-trained [statistical models](https://spacy.io/models) and word vectors
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* Easy **deep learning** integration
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|
* Part-of-speech tagging
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* Labelled dependency parsing
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* Syntax-driven sentence segmentation
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* Built in **visualizers** for syntax and NER
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* Convenient string-to-hash mapping
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* Export to numpy data arrays
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* Efficient binary serialization
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* Easy **model packaging** and deployment
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* State-of-the-art speed
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* Robust, rigorously evaluated accuracy
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|
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📖 **For more details, see the
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[facts, figures and benchmarks](https://spacy.io/usage/facts-figures).**
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|
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## Install spaCy
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|
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For detailed installation instructions, see the
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[documentation](https://spacy.io/usage).
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* **Operating system**: macOS / OS X · Linux · Windows (Cygwin, MinGW, Visual Studio)
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* **Python version**: Python 2.7, 3.4+ (only 64 bit)
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* **Package managers**: [pip] · [conda] (via `conda-forge`)
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|
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[pip]: https://pypi.python.org/pypi/spacy
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[conda]: https://anaconda.org/conda-forge/spacy
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### pip
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Using pip, spaCy releases are available as source packages and binary wheels
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(as of `v2.0.13`).
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```bash
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pip install spacy
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```
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When using pip it is generally recommended to install packages in a virtual
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environment to avoid modifying system state:
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```bash
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python -m venv .env
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source .env/bin/activate
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pip install spacy
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```
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### conda
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Thanks to our great community, we've finally re-added conda support. You can now
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install spaCy via `conda-forge`:
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```bash
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conda config --add channels conda-forge
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conda install spacy
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```
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For the feedstock including the build recipe and configuration,
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|
check out [this repository](https://github.com/conda-forge/spacy-feedstock).
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|
Improvements and pull requests to the recipe and setup are always appreciated.
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|
|
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|
### Updating spaCy
|
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|
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|
Some updates to spaCy may require downloading new statistical models. If you're
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|
running spaCy v2.0 or higher, you can use the `validate` command to check if
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|
your installed models are compatible and if not, print details on how to update
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|
them:
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|
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|
```bash
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|
pip install -U spacy
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|
python -m spacy validate
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```
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|
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|
If you've trained your own models, keep in mind that your training and runtime
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|
inputs must match. After updating spaCy, we recommend **retraining your models**
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|
with the new version.
|
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|
|
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|
📖 **For details on upgrading from spaCy 1.x to spaCy 2.x, see the
|
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|
[migration guide](https://spacy.io/usage/v2#migrating).**
|
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|
|
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|
## Download models
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|
|
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|
As of v1.7.0, models for spaCy can be installed as **Python packages**.
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|
This means that they're a component of your application, just like any
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|
other module. Models can be installed using spaCy's `download` command,
|
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|
or manually by pointing pip to a path or URL.
|
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|
|
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|
| Documentation | |
|
||||||
|
| --- | --- |
|
||||||
|
| [Available Models] | Detailed model descriptions, accuracy figures and benchmarks. |
|
||||||
|
| [Models Documentation] | Detailed usage instructions. |
|
||||||
|
|
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|
[Available Models]: https://spacy.io/models
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|
[Models Documentation]: https://spacy.io/docs/usage/models
|
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|
|
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|
```bash
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|
# out-of-the-box: download best-matching default model
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python -m spacy download en
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|
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|
# download best-matching version of specific model for your spaCy installation
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|
python -m spacy download en_core_web_lg
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|
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|
# pip install .tar.gz archive from path or URL
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|
pip install /Users/you/en_core_web_sm-2.0.0.tar.gz
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|
```
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|
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|
### Loading and using models
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|
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|
To load a model, use `spacy.load()` with the model's shortcut link:
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|
|
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|
```python
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import spacy
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nlp = spacy.load('en')
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doc = nlp(u'This is a sentence.')
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```
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|
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|
If you've installed a model via pip, you can also `import` it directly and
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|
then call its `load()` method:
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|
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|
```python
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|
import spacy
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import en_core_web_sm
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|
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nlp = en_core_web_sm.load()
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doc = nlp(u'This is a sentence.')
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```
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|
|
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|
📖 **For more info and examples, check out the
|
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|
[models documentation](https://spacy.io/docs/usage/models).**
|
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|
|
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|
### Support for older versions
|
||||||
|
|
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|
If you're using an older version (`v1.6.0` or below), you can still download
|
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|
and install the old models from within spaCy using `python -m spacy.en.download all`
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|
or `python -m spacy.de.download all`. The `.tar.gz` archives are also
|
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|
[attached to the v1.6.0 release](https://github.com/explosion/spaCy/tree/v1.6.0).
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|
To download and install the models manually, unpack the archive, drop the
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|
contained directory into `spacy/data` and load the model via `spacy.load('en')`
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|
or `spacy.load('de')`.
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|
|
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|
## Compile from source
|
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|
|
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|
The other way to install spaCy is to clone its
|
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|
[GitHub repository](https://github.com/explosion/spaCy) and build it from
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|
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
|
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|
Python distribution including header files, a compiler,
|
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|
[pip](https://pip.pypa.io/en/latest/installing/),
|
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|
[virtualenv](https://virtualenv.pypa.io/) and [git](https://git-scm.com)
|
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|
installed. The compiler part is the trickiest. How to do that depends on your
|
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|
system. See notes on Ubuntu, OS X and Windows for details.
|
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|
|
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|
```bash
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|
# make sure you are using the latest pip
|
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|
python -m pip install -U pip
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|
git clone https://github.com/explosion/spaCy
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|
cd spaCy
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|
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|
python -m venv .env
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|
source .env/bin/activate
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|
export PYTHONPATH=`pwd`
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|
pip install -r requirements.txt
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|
python setup.py build_ext --inplace
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|
```
|
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|
|
||||||
|
Compared to regular install via pip, [requirements.txt](requirements.txt)
|
||||||
|
additionally installs developer dependencies such as Cython. For more details
|
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|
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
|
||||||
|
```
|
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|
|
||||||
|
### 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).
|
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|
|
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|
## Run tests
|
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|
|
||||||
|
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
|
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|
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
|
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|
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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332
README.rst
332
README.rst
|
|
@ -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.
|
|
||||||
243
setup.py
243
setup.py
|
|
@ -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()
|
||||||
|
|
|
||||||
Loading…
Reference in New Issue
Block a user