automatic import of python-truecase

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+/truecase-0.0.14.tar.gz
diff --git a/python-truecase.spec b/python-truecase.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-truecase
+Version:	0.0.14
+Release:	1
+Summary:	A library to restore capitalization for text
+License:	MIT
+URL:		https://github.com/daltonfury42/truecase
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/85/06/89d0adae754d32626dcd0dcd958a1b0be295a9e084a6ecda25af6ebbcdb2/truecase-0.0.14.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-nltk
+
+%description
+# TrueCase
+
+
+![Main](https://github.com/daltonfury42/truecase/workflows/Main/badge.svg) ![Publish PyPI](https://github.com/daltonfury42/truecase/workflows/Publish%20Python%20distributions%20to%20PyPI/badge.svg)
+
+A language independent, statistical, language modeling
+based tool in Python that restores case information for text.
+
+The model was inspired by the paper of [Lucian Vlad Lita  et al., tRuEcasIng](https://www.cs.cmu.edu/~llita/papers/lita.truecasing-acl2003.pdf) but with some simplifications.
+
+
+A model trained on NLTK English corpus comes with the package by default, 
+and for other languages, a script is provided to create the model. This model is 
+not perfect, train the system on a large and recent dataset to achieve 
+the best results (e.g. on a recent dump of Wikipedia).
+
+### Prerequisites
+
+- Python 3
+
+The project uses NLTK. Find install instructions [here](https://www.nltk.org/install.html).
+
+### Installing
+
+```bash
+pip3 install truecase
+```
+
+## Usage
+
+Simple usecase:
+
+```python
+>>> import truecase
+>>> truecase.get_true_case('hey, what is the weather in new york?')
+'Hey, what is the weather in New York?''
+```
+
+## Training your own model
+
+TODO. For now refer to Trainer.py
+
+## Contributing
+
+I see a lot of space for improvement. Feel free to fork and improve. Do sent a pull request.
+
+## Authors
+
+* **Dalton Fury** - *Initial work* - [daltonfury42](https://github.com/daltonfury42)
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE.md](LICENSE) file for details
+
+## Acknowledgments
+
+* [Lucian Vlad Lita  et al., tRuEcasIng](https://www.cs.cmu.edu/~llita/papers/lita.truecasing-acl2003.pdf)
+* Borrowed a lot of code, and the idea from [truecaser](https://github.com/nreimers/truecaser/blob/master/README.md) by [nreimers](https://github.com/nreimers)
+
+
+
+
+%package -n python3-truecase
+Summary:	A library to restore capitalization for text
+Provides:	python-truecase
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-truecase
+# TrueCase
+
+
+![Main](https://github.com/daltonfury42/truecase/workflows/Main/badge.svg) ![Publish PyPI](https://github.com/daltonfury42/truecase/workflows/Publish%20Python%20distributions%20to%20PyPI/badge.svg)
+
+A language independent, statistical, language modeling
+based tool in Python that restores case information for text.
+
+The model was inspired by the paper of [Lucian Vlad Lita  et al., tRuEcasIng](https://www.cs.cmu.edu/~llita/papers/lita.truecasing-acl2003.pdf) but with some simplifications.
+
+
+A model trained on NLTK English corpus comes with the package by default, 
+and for other languages, a script is provided to create the model. This model is 
+not perfect, train the system on a large and recent dataset to achieve 
+the best results (e.g. on a recent dump of Wikipedia).
+
+### Prerequisites
+
+- Python 3
+
+The project uses NLTK. Find install instructions [here](https://www.nltk.org/install.html).
+
+### Installing
+
+```bash
+pip3 install truecase
+```
+
+## Usage
+
+Simple usecase:
+
+```python
+>>> import truecase
+>>> truecase.get_true_case('hey, what is the weather in new york?')
+'Hey, what is the weather in New York?''
+```
+
+## Training your own model
+
+TODO. For now refer to Trainer.py
+
+## Contributing
+
+I see a lot of space for improvement. Feel free to fork and improve. Do sent a pull request.
+
+## Authors
+
+* **Dalton Fury** - *Initial work* - [daltonfury42](https://github.com/daltonfury42)
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE.md](LICENSE) file for details
+
+## Acknowledgments
+
+* [Lucian Vlad Lita  et al., tRuEcasIng](https://www.cs.cmu.edu/~llita/papers/lita.truecasing-acl2003.pdf)
+* Borrowed a lot of code, and the idea from [truecaser](https://github.com/nreimers/truecaser/blob/master/README.md) by [nreimers](https://github.com/nreimers)
+
+
+
+
+%package help
+Summary:	Development documents and examples for truecase
+Provides:	python3-truecase-doc
+%description help
+# TrueCase
+
+
+![Main](https://github.com/daltonfury42/truecase/workflows/Main/badge.svg) ![Publish PyPI](https://github.com/daltonfury42/truecase/workflows/Publish%20Python%20distributions%20to%20PyPI/badge.svg)
+
+A language independent, statistical, language modeling
+based tool in Python that restores case information for text.
+
+The model was inspired by the paper of [Lucian Vlad Lita  et al., tRuEcasIng](https://www.cs.cmu.edu/~llita/papers/lita.truecasing-acl2003.pdf) but with some simplifications.
+
+
+A model trained on NLTK English corpus comes with the package by default, 
+and for other languages, a script is provided to create the model. This model is 
+not perfect, train the system on a large and recent dataset to achieve 
+the best results (e.g. on a recent dump of Wikipedia).
+
+### Prerequisites
+
+- Python 3
+
+The project uses NLTK. Find install instructions [here](https://www.nltk.org/install.html).
+
+### Installing
+
+```bash
+pip3 install truecase
+```
+
+## Usage
+
+Simple usecase:
+
+```python
+>>> import truecase
+>>> truecase.get_true_case('hey, what is the weather in new york?')
+'Hey, what is the weather in New York?''
+```
+
+## Training your own model
+
+TODO. For now refer to Trainer.py
+
+## Contributing
+
+I see a lot of space for improvement. Feel free to fork and improve. Do sent a pull request.
+
+## Authors
+
+* **Dalton Fury** - *Initial work* - [daltonfury42](https://github.com/daltonfury42)
+
+## License
+
+This project is licensed under the MIT License - see the [LICENSE.md](LICENSE) file for details
+
+## Acknowledgments
+
+* [Lucian Vlad Lita  et al., tRuEcasIng](https://www.cs.cmu.edu/~llita/papers/lita.truecasing-acl2003.pdf)
+* Borrowed a lot of code, and the idea from [truecaser](https://github.com/nreimers/truecaser/blob/master/README.md) by [nreimers](https://github.com/nreimers)
+
+
+
+
+%prep
+%autosetup -n truecase-0.0.14
+
+%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-truecase -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.14-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..be4c269
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+ac240d326f37833a7276faff5e8e5b36  truecase-0.0.14.tar.gz