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author | CoprDistGit <infra@openeuler.org> | 2023-04-10 08:51:49 +0000 |
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committer | CoprDistGit <infra@openeuler.org> | 2023-04-10 08:51:49 +0000 |
commit | 2608f17d0d98726929ffc3666e8181eb51332b6f (patch) | |
tree | 804168ef0cb5b0916c212285c4ccda432812f70d | |
parent | 6e3e8b8d8057fd16b0c13a7274cebe4e8e0fef0f (diff) |
automatic import of python-spacy
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-rw-r--r-- | python-spacy.spec | 973 | ||||
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@@ -0,0 +1 @@ +/spacy-3.5.1.tar.gz diff --git a/python-spacy.spec b/python-spacy.spec new file mode 100644 index 0000000..1a55097 --- /dev/null +++ b/python-spacy.spec @@ -0,0 +1,973 @@ +%global _empty_manifest_terminate_build 0 +Name: python-spacy +Version: 3.5.1 +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/72/8b/59e16583645a87debe43ad37be52589f337198c2e8de5b6493bb95c71c6a/spacy-3.5.1.tar.gz + +Requires: python3-spacy-legacy +Requires: python3-spacy-loggers +Requires: python3-murmurhash +Requires: python3-cymem +Requires: python3-preshed +Requires: python3-thinc +Requires: python3-wasabi +Requires: python3-srsly +Requires: python3-catalogue +Requires: python3-typer +Requires: python3-pathy +Requires: python3-smart-open +Requires: python3-tqdm +Requires: python3-numpy +Requires: python3-requests +Requires: python3-pydantic +Requires: python3-jinja2 +Requires: python3-setuptools +Requires: python3-packaging +Requires: python3-langcodes +Requires: python3-typing-extensions +Requires: python3-thinc-apple-ops +Requires: python3-cupy +Requires: python3-cupy-wheel +Requires: python3-cupy-cuda100 +Requires: python3-cupy-cuda101 +Requires: python3-cupy-cuda102 +Requires: python3-cupy-cuda110 +Requires: python3-cupy-cuda111 +Requires: python3-cupy-cuda112 +Requires: python3-cupy-cuda113 +Requires: python3-cupy-cuda114 +Requires: python3-cupy-cuda115 +Requires: python3-cupy-cuda116 +Requires: python3-cupy-cuda117 +Requires: python3-cupy-cuda11x +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 +currently supports tokenization and training for **70+ languages**. It features +state-of-the-art speed and **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**](https://spacy.io/usage/training) and easy +model packaging, deployment and workflow management. spaCy is commercial +open-source software, released under the [MIT license](https://github.com/explosion/spaCy/blob/master/LICENSE). + +๐ฅ **We'd love to hear more about your experience with spaCy!** +[Fill out our survey here.](https://form.typeform.com/to/aMel9q9f) + +๐ซ **Version 3.5 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://github.com/ambv/black) +<br /> +[](https://pypi.org/project/spacy/) +[](https://anaconda.org/conda-forge/spacy) +[](https://twitter.com/spacy_io) + +## ๐ Documentation + +| Documentation | | +| ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| โญ๏ธ **[spaCy 101]** | New to spaCy? Here's everything you need to know! | +| ๐ **[Usage Guides]** | How to use spaCy and its features. | +| ๐ **[New in v3.0]** | New features, backwards incompatibilities and migration guide. | +| ๐ช **[Project Templates]** | End-to-end workflows you can clone, modify and run. | +| ๐ **[API Reference]** | The detailed reference for spaCy's API. | +| ๐ฆ **[Models]** | Download trained pipelines for spaCy. | +| ๐ **[Universe]** | Plugins, extensions, demos and books from the spaCy ecosystem. | +| ๐ฉโ๐ซ **[Online Course]** | Learn spaCy in this free and interactive online course. | +| ๐บ **[Videos]** | Our YouTube channel with video tutorials, talks and more. | +| ๐ **[Changelog]** | Changes and version history. | +| ๐ **[Contribute]** | How to contribute to the spaCy project and code base. | +| <a href="https://explosion.ai/spacy-tailored-pipelines"><img src="https://user-images.githubusercontent.com/13643239/152853098-1c761611-ccb0-4ec6-9066-b234552831fe.png" width="125" alt="spaCy Tailored Pipelines"/></a> | Get a custom spaCy pipeline, tailor-made for your NLP problem by spaCy's core developers. Streamlined, production-ready, predictable and maintainable. Start by completing our 5-minute questionnaire to tell us what you need and we'll be in touch! **[Learn more →](https://explosion.ai/spacy-tailored-pipelines)** | +| <a href="https://explosion.ai/spacy-tailored-analysis"><img src="https://user-images.githubusercontent.com/1019791/206151300-b00cd189-e503-4797-aa1e-1bb6344062c5.png" width="125" alt="spaCy Tailored Pipelines"/></a> | Bespoke advice for problem solving, strategy and analysis for applied NLP projects. Services include data strategy, code reviews, pipeline design and annotation coaching. Curious? Fill in our 5-minute questionnaire to tell us what you need and we'll be in touch! **[Learn more →](https://explosion.ai/spacy-tailored-analysis)** | + +[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 +[videos]: https://www.youtube.com/c/ExplosionAI +[online course]: https://course.spacy.io +[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 the [spaCy team](https://explosion.ai/about). +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 **70+ languages** +- **Trained pipelines** for different languages and tasks +- Multi-task learning with pretrained **transformers** like BERT +- Support for pretrained **word vectors** and embeddings +- 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).** + +## โณ 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. +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 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, 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 + +You can also install spaCy from `conda` via the `conda-forge` channel. For the +feedstock including the build recipe and configuration, check out +[this repository](https://github.com/conda-forge/spacy-feedstock). + +```bash +conda install -c conda-forge spacy +``` + +### 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).** + +## ๐ฆ Download model packages + +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`](https://spacy.io/api/cli#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 and installation instructions. | +| **[Training]** | How to train your own pipelines on your data. | + +[available pipelines]: https://spacy.io/models +[models documentation]: https://spacy.io/usage/models +[training]: https://spacy.io/usage/training + +```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 or .whl from path or URL +pip install /Users/you/en_core_web_sm-3.0.0.tar.gz +pip install /Users/you/en_core_web_sm-3.0.0-py3-none-any.whl +pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.0.0/en_core_web_sm-3.0.0.tar.gz +``` + +### Loading and using models + +To load a model, use [`spacy.load()`](https://spacy.io/api/top-level#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).** + +## โ 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. + +| Platform | | +| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| **Ubuntu** | Install system-level dependencies via `apt-get`: `sudo apt-get install build-essential python-dev git` . | +| **Mac** | 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. | + +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. + +```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 -r requirements.txt +pip install --no-build-isolation --editable . +``` + +To install with extras: + +```bash +pip install --no-build-isolation --editable .[lookups,cuda102] +``` + +## ๐ฆ 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`](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`](requirements.txt): + +```bash +pip install -r requirements.txt +python -m pytest --pyargs spacy +``` + + +%package -n python3-spacy +Summary: Industrial-strength Natural Language Processing (NLP) in Python +Provides: python-spacy +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +BuildRequires: python3-cffi +BuildRequires: gcc +BuildRequires: gdb +%description -n python3-spacy +<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 +currently supports tokenization and training for **70+ languages**. It features +state-of-the-art speed and **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**](https://spacy.io/usage/training) and easy +model packaging, deployment and workflow management. spaCy is commercial +open-source software, released under the [MIT license](https://github.com/explosion/spaCy/blob/master/LICENSE). + +๐ฅ **We'd love to hear more about your experience with spaCy!** +[Fill out our survey here.](https://form.typeform.com/to/aMel9q9f) + +๐ซ **Version 3.5 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://github.com/ambv/black) +<br /> +[](https://pypi.org/project/spacy/) +[](https://anaconda.org/conda-forge/spacy) +[](https://twitter.com/spacy_io) + +## ๐ Documentation + +| Documentation | | +| ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| โญ๏ธ **[spaCy 101]** | New to spaCy? Here's everything you need to know! | +| ๐ **[Usage Guides]** | How to use spaCy and its features. | +| ๐ **[New in v3.0]** | New features, backwards incompatibilities and migration guide. | +| ๐ช **[Project Templates]** | End-to-end workflows you can clone, modify and run. | +| ๐ **[API Reference]** | The detailed reference for spaCy's API. | +| ๐ฆ **[Models]** | Download trained pipelines for spaCy. | +| ๐ **[Universe]** | Plugins, extensions, demos and books from the spaCy ecosystem. | +| ๐ฉโ๐ซ **[Online Course]** | Learn spaCy in this free and interactive online course. | +| ๐บ **[Videos]** | Our YouTube channel with video tutorials, talks and more. | +| ๐ **[Changelog]** | Changes and version history. | +| ๐ **[Contribute]** | How to contribute to the spaCy project and code base. | +| <a href="https://explosion.ai/spacy-tailored-pipelines"><img src="https://user-images.githubusercontent.com/13643239/152853098-1c761611-ccb0-4ec6-9066-b234552831fe.png" width="125" alt="spaCy Tailored Pipelines"/></a> | Get a custom spaCy pipeline, tailor-made for your NLP problem by spaCy's core developers. Streamlined, production-ready, predictable and maintainable. Start by completing our 5-minute questionnaire to tell us what you need and we'll be in touch! **[Learn more →](https://explosion.ai/spacy-tailored-pipelines)** | +| <a href="https://explosion.ai/spacy-tailored-analysis"><img src="https://user-images.githubusercontent.com/1019791/206151300-b00cd189-e503-4797-aa1e-1bb6344062c5.png" width="125" alt="spaCy Tailored Pipelines"/></a> | Bespoke advice for problem solving, strategy and analysis for applied NLP projects. Services include data strategy, code reviews, pipeline design and annotation coaching. Curious? Fill in our 5-minute questionnaire to tell us what you need and we'll be in touch! **[Learn more →](https://explosion.ai/spacy-tailored-analysis)** | + +[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 +[videos]: https://www.youtube.com/c/ExplosionAI +[online course]: https://course.spacy.io +[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 the [spaCy team](https://explosion.ai/about). +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 **70+ languages** +- **Trained pipelines** for different languages and tasks +- Multi-task learning with pretrained **transformers** like BERT +- Support for pretrained **word vectors** and embeddings +- 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).** + +## โณ 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. +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 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, 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 + +You can also install spaCy from `conda` via the `conda-forge` channel. For the +feedstock including the build recipe and configuration, check out +[this repository](https://github.com/conda-forge/spacy-feedstock). + +```bash +conda install -c conda-forge spacy +``` + +### 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).** + +## ๐ฆ Download model packages + +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`](https://spacy.io/api/cli#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 and installation instructions. | +| **[Training]** | How to train your own pipelines on your data. | + +[available pipelines]: https://spacy.io/models +[models documentation]: https://spacy.io/usage/models +[training]: https://spacy.io/usage/training + +```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 or .whl from path or URL +pip install /Users/you/en_core_web_sm-3.0.0.tar.gz +pip install /Users/you/en_core_web_sm-3.0.0-py3-none-any.whl +pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.0.0/en_core_web_sm-3.0.0.tar.gz +``` + +### Loading and using models + +To load a model, use [`spacy.load()`](https://spacy.io/api/top-level#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).** + +## โ 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. + +| Platform | | +| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| **Ubuntu** | Install system-level dependencies via `apt-get`: `sudo apt-get install build-essential python-dev git` . | +| **Mac** | 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. | + +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. + +```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 -r requirements.txt +pip install --no-build-isolation --editable . +``` + +To install with extras: + +```bash +pip install --no-build-isolation --editable .[lookups,cuda102] +``` + +## ๐ฆ 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`](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`](requirements.txt): + +```bash +pip install -r requirements.txt +python -m pytest --pyargs spacy +``` + + +%package help +Summary: Development documents and examples for spacy +Provides: python3-spacy-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 +currently supports tokenization and training for **70+ languages**. It features +state-of-the-art speed and **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**](https://spacy.io/usage/training) and easy +model packaging, deployment and workflow management. spaCy is commercial +open-source software, released under the [MIT license](https://github.com/explosion/spaCy/blob/master/LICENSE). + +๐ฅ **We'd love to hear more about your experience with spaCy!** +[Fill out our survey here.](https://form.typeform.com/to/aMel9q9f) + +๐ซ **Version 3.5 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://github.com/ambv/black) +<br /> +[](https://pypi.org/project/spacy/) +[](https://anaconda.org/conda-forge/spacy) +[](https://twitter.com/spacy_io) + +## ๐ Documentation + +| Documentation | | +| ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| โญ๏ธ **[spaCy 101]** | New to spaCy? Here's everything you need to know! | +| ๐ **[Usage Guides]** | How to use spaCy and its features. | +| ๐ **[New in v3.0]** | New features, backwards incompatibilities and migration guide. | +| ๐ช **[Project Templates]** | End-to-end workflows you can clone, modify and run. | +| ๐ **[API Reference]** | The detailed reference for spaCy's API. | +| ๐ฆ **[Models]** | Download trained pipelines for spaCy. | +| ๐ **[Universe]** | Plugins, extensions, demos and books from the spaCy ecosystem. | +| ๐ฉโ๐ซ **[Online Course]** | Learn spaCy in this free and interactive online course. | +| ๐บ **[Videos]** | Our YouTube channel with video tutorials, talks and more. | +| ๐ **[Changelog]** | Changes and version history. | +| ๐ **[Contribute]** | How to contribute to the spaCy project and code base. | +| <a href="https://explosion.ai/spacy-tailored-pipelines"><img src="https://user-images.githubusercontent.com/13643239/152853098-1c761611-ccb0-4ec6-9066-b234552831fe.png" width="125" alt="spaCy Tailored Pipelines"/></a> | Get a custom spaCy pipeline, tailor-made for your NLP problem by spaCy's core developers. Streamlined, production-ready, predictable and maintainable. Start by completing our 5-minute questionnaire to tell us what you need and we'll be in touch! **[Learn more →](https://explosion.ai/spacy-tailored-pipelines)** | +| <a href="https://explosion.ai/spacy-tailored-analysis"><img src="https://user-images.githubusercontent.com/1019791/206151300-b00cd189-e503-4797-aa1e-1bb6344062c5.png" width="125" alt="spaCy Tailored Pipelines"/></a> | Bespoke advice for problem solving, strategy and analysis for applied NLP projects. Services include data strategy, code reviews, pipeline design and annotation coaching. Curious? Fill in our 5-minute questionnaire to tell us what you need and we'll be in touch! **[Learn more →](https://explosion.ai/spacy-tailored-analysis)** | + +[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 +[videos]: https://www.youtube.com/c/ExplosionAI +[online course]: https://course.spacy.io +[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 the [spaCy team](https://explosion.ai/about). +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 **70+ languages** +- **Trained pipelines** for different languages and tasks +- Multi-task learning with pretrained **transformers** like BERT +- Support for pretrained **word vectors** and embeddings +- 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).** + +## โณ 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. +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 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, 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 + +You can also install spaCy from `conda` via the `conda-forge` channel. For the +feedstock including the build recipe and configuration, check out +[this repository](https://github.com/conda-forge/spacy-feedstock). + +```bash +conda install -c conda-forge spacy +``` + +### 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).** + +## ๐ฆ Download model packages + +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`](https://spacy.io/api/cli#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 and installation instructions. | +| **[Training]** | How to train your own pipelines on your data. | + +[available pipelines]: https://spacy.io/models +[models documentation]: https://spacy.io/usage/models +[training]: https://spacy.io/usage/training + +```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 or .whl from path or URL +pip install /Users/you/en_core_web_sm-3.0.0.tar.gz +pip install /Users/you/en_core_web_sm-3.0.0-py3-none-any.whl +pip install https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.0.0/en_core_web_sm-3.0.0.tar.gz +``` + +### Loading and using models + +To load a model, use [`spacy.load()`](https://spacy.io/api/top-level#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).** + +## โ 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. + +| Platform | | +| ----------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | +| **Ubuntu** | Install system-level dependencies via `apt-get`: `sudo apt-get install build-essential python-dev git` . | +| **Mac** | 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. | + +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. + +```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 -r requirements.txt +pip install --no-build-isolation --editable . +``` + +To install with extras: + +```bash +pip install --no-build-isolation --editable .[lookups,cuda102] +``` + +## ๐ฆ 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`](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`](requirements.txt): + +```bash +pip install -r requirements.txt +python -m pytest --pyargs spacy +``` + + +%prep +%autosetup -n spacy-3.5.1 + +%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 -f filelist.lst +%dir %{python3_sitearch}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 3.5.1-1 +- Package Spec generated @@ -0,0 +1 @@ +243f8ad14aa240f6aaa252d73bd57e71 spacy-3.5.1.tar.gz |