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@@ -0,0 +1 @@ +/spacy-nightly-3.0.0rc5.tar.gz diff --git a/python-spacy-nightly.spec b/python-spacy-nightly.spec new file mode 100644 index 0000000..c1090f0 --- /dev/null +++ b/python-spacy-nightly.spec @@ -0,0 +1,1014 @@ +%global _empty_manifest_terminate_build 0 +Name: python-spacy-nightly +Version: 3.0.0rc5 +Release: 1 +Summary: Industrial-strength Natural Language Processing (NLP) in Python +License: MIT +URL: https://spacy.io +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/ce/fe/d91eff412a6122ea73d218fb56272c826431dbf52ae8341d7d5660c99c24/spacy-nightly-3.0.0rc5.tar.gz + +Requires: python3-spacy-legacy +Requires: python3-murmurhash +Requires: python3-cymem +Requires: python3-preshed +Requires: python3-thinc +Requires: python3-blis +Requires: python3-wasabi +Requires: python3-srsly +Requires: python3-catalogue +Requires: python3-typer +Requires: python3-pathy +Requires: python3-tqdm +Requires: python3-numpy +Requires: python3-requests +Requires: python3-pydantic +Requires: python3-jinja2 +Requires: python3-setuptools +Requires: python3-packaging +Requires: python3-importlib-metadata +Requires: python3-typing-extensions +Requires: python3-cupy +Requires: python3-cupy-cuda100 +Requires: python3-cupy-cuda101 +Requires: python3-cupy-cuda102 +Requires: python3-cupy-cuda110 +Requires: python3-cupy-cuda111 +Requires: python3-cupy-cuda80 +Requires: python3-cupy-cuda90 +Requires: python3-cupy-cuda91 +Requires: python3-cupy-cuda92 +Requires: python3-sudachipy +Requires: python3-sudachidict-core +Requires: python3-natto-py +Requires: python3-spacy-lookups-data +Requires: python3-spacy-ray +Requires: python3-pythainlp +Requires: python3-spacy-transformers + +%description +<a href="https://explosion.ai"><img src="https://explosion.ai/assets/img/logo.svg" width="125" height="125" align="right" /></a> + +# 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 +[pretrained pipelines](https://spacy.io/models) and vectors, and +currently supports tokenization for **60+ languages**. It features +state-of-the-art speed, convolutional **neural network models** for tagging, +parsing, **named entity recognition**, **text classification** and more, multi-task learning with pretrained **transformers** like BERT, as well as a production-ready training system and easy model packaging, deployment and workflow management. +spaCy is commercial open-source software, released under the MIT license. + +๐ซ **Version 3.0 (nightly) out now!** +[Check out the release notes here.](https://github.com/explosion/spaCy/releases) + +[](https://dev.azure.com/explosion-ai/public/_build?definitionId=8) +[](https://github.com/explosion/spaCy/releases) +[](https://pypi.org/project/spacy/) +[](https://anaconda.org/conda-forge/spacy) +[](https://github.com/explosion/wheelwright/releases) +[](https://pypi.org/project/spacy/) +[](https://anaconda.org/conda-forge/spacy) +[](https://github.com/explosion/spacy-models/releases) +[](https://github.com/ambv/black) +[](https://twitter.com/spacy_io) + +## ๐ 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 v3.0] | New features, backwards incompatibilities and migration guide. | +| [Project Templates] | End-to-end workflows you can clone, modify and run. | +| [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 v3.0]: https://spacy.io/usage/v3 +[usage guides]: https://spacy.io/usage/ +[api reference]: https://spacy.io/api/ +[models]: https://spacy.io/models +[universe]: https://spacy.io/universe +[project templates]: https://github.com/explosion/projects +[changelog]: https://spacy.io/usage#changelog +[contribute]: https://github.com/explosion/spaCy/blob/master/CONTRIBUTING.md + +## ๐ฌ Where to ask questions + +The spaCy project is maintained by [@honnibal](https://github.com/honnibal), +[@ines](https://github.com/ines), [@svlandeg](https://github.com/svlandeg) and +[@adrianeboyd](https://github.com/adrianeboyd). 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. + +| Type | Platforms | +| ------------------------------- | --------------------------------------- | +| ๐จ **Bug Reports** | [GitHub Issue Tracker] | +| ๐ **Feature Requests & Ideas** | [GitHub Discussions] | +| ๐ฉโ๐ป **Usage Questions** | [GitHub Discussions] ยท [Stack Overflow] | +| ๐ฏ **General Discussion** | [GitHub Discussions] | + +[github issue tracker]: https://github.com/explosion/spaCy/issues +[github discussions]: https://github.com/explosion/spaCy/discussions +[stack overflow]: https://stackoverflow.com/questions/tagged/spacy + +## Features + +- Support for **60+ languages** +- **Trained pipelines** +- Multi-task learning with pretrained **transformers** like BERT +- Pretrained **word vectors** +- State-of-the-art speed +- Production-ready **training system** +- Linguistically-motivated **tokenization** +- Components for named **entity recognition**, part-of-speech-tagging, dependency parsing, sentence segmentation, **text classification**, lemmatization, morphological analysis, entity linking and more +- Easily extensible with **custom components** and attributes +- Support for custom models in **PyTorch**, **TensorFlow** and other frameworks +- Built in **visualizers** for syntax and NER +- Easy **model packaging**, deployment and workflow management +- Robust, rigorously evaluated accuracy + +๐ **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 ยท Linux ยท Windows (Cygwin, MinGW, Visual + Studio) +- **Python version**: Python 3.6+ (only 64 bit) +- **Package managers**: [pip] ยท [conda] (via `conda-forge`) + +[pip]: https://pypi.org/project/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`). Before you install spaCy and its dependencies, make sure that +your `pip`, `setuptools` and `wheel` are up to date. + +```bash +pip install -U pip setuptools wheel +pip install spacy +``` + +To install additional data tables for lemmatization and normalization in +**spaCy v2.2+** you can run `pip install spacy[lookups]` or install +[`spacy-lookups-data`](https://github.com/explosion/spacy-lookups-data) +separately. The lookups package is needed to create blank models with +lemmatization data for v2.2+ plus normalization data for v2.3+, and to +lemmatize in languages that don't yet come with pretrained models and aren't +powered by third-party libraries. + +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 -U pip setuptools wheel +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 install -c conda-forge 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. + +๐ **For details on upgrading from spaCy 2.x to spaCy 3.x, see the +[migration guide](https://spacy.io/usage/v3#migrating).** + +## Download models + +Trained pipelines 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 Pipelines] | Detailed pipeline descriptions, accuracy figures and benchmarks. | +| [Models Documentation] | Detailed usage instructions. | + +[available pipelines]: https://spacy.io/models +[models documentation]: https://spacy.io/docs/usage/models + +```bash +# Download best-matching version of specific model for your spaCy installation +python -m spacy download en_core_web_sm + +# pip install .tar.gz archive from path or URL +pip install /Users/you/en_core_web_sm-2.2.0.tar.gz +pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.2.0/en_core_web_sm-2.2.0.tar.gz +``` + +### Loading and using models + +To load a model, use `spacy.load()` with the model name or a +path to the model data directory. + +```python +import spacy +nlp = spacy.load("en_core_web_sm") +doc = nlp("This is a sentence.") +``` + +You can also `import` a model directly via its full name and then call its +`load()` method with no arguments. + +```python +import spacy +import en_core_web_sm + +nlp = en_core_web_sm.load() +doc = nlp("This is a sentence.") +``` + +๐ **For more info and examples, check out the +[models documentation](https://spacy.io/docs/usage/models).** + +## 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/en/latest/) 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 +git clone https://github.com/explosion/spaCy +cd spaCy + +python -m venv .env +source .env/bin/activate + +# make sure you are using the latest pip +python -m pip install -U pip setuptools wheel + +pip install . +``` + +To install with extras: + +```bash +pip install .[lookups,cuda102] +``` + +To install all dependencies required for development: + +```bash +pip install -r requirements.txt +``` + +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://visualstudio.microsoft.com/vs/express/) that +matches the version that was used to compile your Python interpreter. + +## 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 run `pytest` on the tests from within the installed +`spacy` package. Don't forget to also install the test utilities via spaCy's +`requirements.txt`: + +```bash +pip install -r requirements.txt +python -m pytest --pyargs spacy +``` + +See [the documentation](https://spacy.io/usage#tests) for more details and +examples. + + + + +%package -n python3-spacy-nightly +Summary: Industrial-strength Natural Language Processing (NLP) in Python +Provides: python-spacy-nightly +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +BuildRequires: python3-cffi +BuildRequires: gcc +BuildRequires: gdb +%description -n python3-spacy-nightly +<a href="https://explosion.ai"><img src="https://explosion.ai/assets/img/logo.svg" width="125" height="125" align="right" /></a> + +# 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 +[pretrained pipelines](https://spacy.io/models) and vectors, and +currently supports tokenization for **60+ languages**. It features +state-of-the-art speed, convolutional **neural network models** for tagging, +parsing, **named entity recognition**, **text classification** and more, multi-task learning with pretrained **transformers** like BERT, as well as a production-ready training system and easy model packaging, deployment and workflow management. +spaCy is commercial open-source software, released under the MIT license. + +๐ซ **Version 3.0 (nightly) out now!** +[Check out the release notes here.](https://github.com/explosion/spaCy/releases) + +[](https://dev.azure.com/explosion-ai/public/_build?definitionId=8) +[](https://github.com/explosion/spaCy/releases) +[](https://pypi.org/project/spacy/) +[](https://anaconda.org/conda-forge/spacy) +[](https://github.com/explosion/wheelwright/releases) +[](https://pypi.org/project/spacy/) +[](https://anaconda.org/conda-forge/spacy) +[](https://github.com/explosion/spacy-models/releases) +[](https://github.com/ambv/black) +[](https://twitter.com/spacy_io) + +## ๐ 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 v3.0] | New features, backwards incompatibilities and migration guide. | +| [Project Templates] | End-to-end workflows you can clone, modify and run. | +| [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 v3.0]: https://spacy.io/usage/v3 +[usage guides]: https://spacy.io/usage/ +[api reference]: https://spacy.io/api/ +[models]: https://spacy.io/models +[universe]: https://spacy.io/universe +[project templates]: https://github.com/explosion/projects +[changelog]: https://spacy.io/usage#changelog +[contribute]: https://github.com/explosion/spaCy/blob/master/CONTRIBUTING.md + +## ๐ฌ Where to ask questions + +The spaCy project is maintained by [@honnibal](https://github.com/honnibal), +[@ines](https://github.com/ines), [@svlandeg](https://github.com/svlandeg) and +[@adrianeboyd](https://github.com/adrianeboyd). 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. + +| Type | Platforms | +| ------------------------------- | --------------------------------------- | +| ๐จ **Bug Reports** | [GitHub Issue Tracker] | +| ๐ **Feature Requests & Ideas** | [GitHub Discussions] | +| ๐ฉโ๐ป **Usage Questions** | [GitHub Discussions] ยท [Stack Overflow] | +| ๐ฏ **General Discussion** | [GitHub Discussions] | + +[github issue tracker]: https://github.com/explosion/spaCy/issues +[github discussions]: https://github.com/explosion/spaCy/discussions +[stack overflow]: https://stackoverflow.com/questions/tagged/spacy + +## Features + +- Support for **60+ languages** +- **Trained pipelines** +- Multi-task learning with pretrained **transformers** like BERT +- Pretrained **word vectors** +- State-of-the-art speed +- Production-ready **training system** +- Linguistically-motivated **tokenization** +- Components for named **entity recognition**, part-of-speech-tagging, dependency parsing, sentence segmentation, **text classification**, lemmatization, morphological analysis, entity linking and more +- Easily extensible with **custom components** and attributes +- Support for custom models in **PyTorch**, **TensorFlow** and other frameworks +- Built in **visualizers** for syntax and NER +- Easy **model packaging**, deployment and workflow management +- Robust, rigorously evaluated accuracy + +๐ **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 ยท Linux ยท Windows (Cygwin, MinGW, Visual + Studio) +- **Python version**: Python 3.6+ (only 64 bit) +- **Package managers**: [pip] ยท [conda] (via `conda-forge`) + +[pip]: https://pypi.org/project/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`). Before you install spaCy and its dependencies, make sure that +your `pip`, `setuptools` and `wheel` are up to date. + +```bash +pip install -U pip setuptools wheel +pip install spacy +``` + +To install additional data tables for lemmatization and normalization in +**spaCy v2.2+** you can run `pip install spacy[lookups]` or install +[`spacy-lookups-data`](https://github.com/explosion/spacy-lookups-data) +separately. The lookups package is needed to create blank models with +lemmatization data for v2.2+ plus normalization data for v2.3+, and to +lemmatize in languages that don't yet come with pretrained models and aren't +powered by third-party libraries. + +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 -U pip setuptools wheel +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 install -c conda-forge 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. + +๐ **For details on upgrading from spaCy 2.x to spaCy 3.x, see the +[migration guide](https://spacy.io/usage/v3#migrating).** + +## Download models + +Trained pipelines 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 Pipelines] | Detailed pipeline descriptions, accuracy figures and benchmarks. | +| [Models Documentation] | Detailed usage instructions. | + +[available pipelines]: https://spacy.io/models +[models documentation]: https://spacy.io/docs/usage/models + +```bash +# Download best-matching version of specific model for your spaCy installation +python -m spacy download en_core_web_sm + +# pip install .tar.gz archive from path or URL +pip install /Users/you/en_core_web_sm-2.2.0.tar.gz +pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.2.0/en_core_web_sm-2.2.0.tar.gz +``` + +### Loading and using models + +To load a model, use `spacy.load()` with the model name or a +path to the model data directory. + +```python +import spacy +nlp = spacy.load("en_core_web_sm") +doc = nlp("This is a sentence.") +``` + +You can also `import` a model directly via its full name and then call its +`load()` method with no arguments. + +```python +import spacy +import en_core_web_sm + +nlp = en_core_web_sm.load() +doc = nlp("This is a sentence.") +``` + +๐ **For more info and examples, check out the +[models documentation](https://spacy.io/docs/usage/models).** + +## 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/en/latest/) 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 +git clone https://github.com/explosion/spaCy +cd spaCy + +python -m venv .env +source .env/bin/activate + +# make sure you are using the latest pip +python -m pip install -U pip setuptools wheel + +pip install . +``` + +To install with extras: + +```bash +pip install .[lookups,cuda102] +``` + +To install all dependencies required for development: + +```bash +pip install -r requirements.txt +``` + +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://visualstudio.microsoft.com/vs/express/) that +matches the version that was used to compile your Python interpreter. + +## 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 run `pytest` on the tests from within the installed +`spacy` package. Don't forget to also install the test utilities via spaCy's +`requirements.txt`: + +```bash +pip install -r requirements.txt +python -m pytest --pyargs spacy +``` + +See [the documentation](https://spacy.io/usage#tests) for more details and +examples. + + + + +%package help +Summary: Development documents and examples for spacy-nightly +Provides: python3-spacy-nightly-doc +%description help +<a href="https://explosion.ai"><img src="https://explosion.ai/assets/img/logo.svg" width="125" height="125" align="right" /></a> + +# 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 +[pretrained pipelines](https://spacy.io/models) and vectors, and +currently supports tokenization for **60+ languages**. It features +state-of-the-art speed, convolutional **neural network models** for tagging, +parsing, **named entity recognition**, **text classification** and more, multi-task learning with pretrained **transformers** like BERT, as well as a production-ready training system and easy model packaging, deployment and workflow management. +spaCy is commercial open-source software, released under the MIT license. + +๐ซ **Version 3.0 (nightly) out now!** +[Check out the release notes here.](https://github.com/explosion/spaCy/releases) + +[](https://dev.azure.com/explosion-ai/public/_build?definitionId=8) +[](https://github.com/explosion/spaCy/releases) +[](https://pypi.org/project/spacy/) +[](https://anaconda.org/conda-forge/spacy) +[](https://github.com/explosion/wheelwright/releases) +[](https://pypi.org/project/spacy/) +[](https://anaconda.org/conda-forge/spacy) +[](https://github.com/explosion/spacy-models/releases) +[](https://github.com/ambv/black) +[](https://twitter.com/spacy_io) + +## ๐ 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 v3.0] | New features, backwards incompatibilities and migration guide. | +| [Project Templates] | End-to-end workflows you can clone, modify and run. | +| [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 v3.0]: https://spacy.io/usage/v3 +[usage guides]: https://spacy.io/usage/ +[api reference]: https://spacy.io/api/ +[models]: https://spacy.io/models +[universe]: https://spacy.io/universe +[project templates]: https://github.com/explosion/projects +[changelog]: https://spacy.io/usage#changelog +[contribute]: https://github.com/explosion/spaCy/blob/master/CONTRIBUTING.md + +## ๐ฌ Where to ask questions + +The spaCy project is maintained by [@honnibal](https://github.com/honnibal), +[@ines](https://github.com/ines), [@svlandeg](https://github.com/svlandeg) and +[@adrianeboyd](https://github.com/adrianeboyd). 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. + +| Type | Platforms | +| ------------------------------- | --------------------------------------- | +| ๐จ **Bug Reports** | [GitHub Issue Tracker] | +| ๐ **Feature Requests & Ideas** | [GitHub Discussions] | +| ๐ฉโ๐ป **Usage Questions** | [GitHub Discussions] ยท [Stack Overflow] | +| ๐ฏ **General Discussion** | [GitHub Discussions] | + +[github issue tracker]: https://github.com/explosion/spaCy/issues +[github discussions]: https://github.com/explosion/spaCy/discussions +[stack overflow]: https://stackoverflow.com/questions/tagged/spacy + +## Features + +- Support for **60+ languages** +- **Trained pipelines** +- Multi-task learning with pretrained **transformers** like BERT +- Pretrained **word vectors** +- State-of-the-art speed +- Production-ready **training system** +- Linguistically-motivated **tokenization** +- Components for named **entity recognition**, part-of-speech-tagging, dependency parsing, sentence segmentation, **text classification**, lemmatization, morphological analysis, entity linking and more +- Easily extensible with **custom components** and attributes +- Support for custom models in **PyTorch**, **TensorFlow** and other frameworks +- Built in **visualizers** for syntax and NER +- Easy **model packaging**, deployment and workflow management +- Robust, rigorously evaluated accuracy + +๐ **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 ยท Linux ยท Windows (Cygwin, MinGW, Visual + Studio) +- **Python version**: Python 3.6+ (only 64 bit) +- **Package managers**: [pip] ยท [conda] (via `conda-forge`) + +[pip]: https://pypi.org/project/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`). Before you install spaCy and its dependencies, make sure that +your `pip`, `setuptools` and `wheel` are up to date. + +```bash +pip install -U pip setuptools wheel +pip install spacy +``` + +To install additional data tables for lemmatization and normalization in +**spaCy v2.2+** you can run `pip install spacy[lookups]` or install +[`spacy-lookups-data`](https://github.com/explosion/spacy-lookups-data) +separately. The lookups package is needed to create blank models with +lemmatization data for v2.2+ plus normalization data for v2.3+, and to +lemmatize in languages that don't yet come with pretrained models and aren't +powered by third-party libraries. + +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 -U pip setuptools wheel +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 install -c conda-forge 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. + +๐ **For details on upgrading from spaCy 2.x to spaCy 3.x, see the +[migration guide](https://spacy.io/usage/v3#migrating).** + +## Download models + +Trained pipelines 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 Pipelines] | Detailed pipeline descriptions, accuracy figures and benchmarks. | +| [Models Documentation] | Detailed usage instructions. | + +[available pipelines]: https://spacy.io/models +[models documentation]: https://spacy.io/docs/usage/models + +```bash +# Download best-matching version of specific model for your spaCy installation +python -m spacy download en_core_web_sm + +# pip install .tar.gz archive from path or URL +pip install /Users/you/en_core_web_sm-2.2.0.tar.gz +pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-2.2.0/en_core_web_sm-2.2.0.tar.gz +``` + +### Loading and using models + +To load a model, use `spacy.load()` with the model name or a +path to the model data directory. + +```python +import spacy +nlp = spacy.load("en_core_web_sm") +doc = nlp("This is a sentence.") +``` + +You can also `import` a model directly via its full name and then call its +`load()` method with no arguments. + +```python +import spacy +import en_core_web_sm + +nlp = en_core_web_sm.load() +doc = nlp("This is a sentence.") +``` + +๐ **For more info and examples, check out the +[models documentation](https://spacy.io/docs/usage/models).** + +## 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/en/latest/) 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 +git clone https://github.com/explosion/spaCy +cd spaCy + +python -m venv .env +source .env/bin/activate + +# make sure you are using the latest pip +python -m pip install -U pip setuptools wheel + +pip install . +``` + +To install with extras: + +```bash +pip install .[lookups,cuda102] +``` + +To install all dependencies required for development: + +```bash +pip install -r requirements.txt +``` + +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://visualstudio.microsoft.com/vs/express/) that +matches the version that was used to compile your Python interpreter. + +## 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 run `pytest` on the tests from within the installed +`spacy` package. Don't forget to also install the test utilities via spaCy's +`requirements.txt`: + +```bash +pip install -r requirements.txt +python -m pytest --pyargs spacy +``` + +See [the documentation](https://spacy.io/usage#tests) for more details and +examples. + + + + +%prep +%autosetup -n spacy-nightly-3.0.0rc5 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-spacy-nightly -f filelist.lst +%dir %{python3_sitearch}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 3.0.0rc5-1 +- Package Spec generated @@ -0,0 +1 @@ +1bfb1e031655456789c7c227a0358b9c spacy-nightly-3.0.0rc5.tar.gz |