automatic import of python-attacutopeneuler20.03

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diff --git a/.gitignore b/.gitignore
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--- a/.gitignore
+++ b/.gitignore
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+/attacut-1.0.6.tar.gz
diff --git a/python-attacut.spec b/python-attacut.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-attacut
+Version:	1.0.6
+Release:	1
+Summary:	Fast and Reasonably Accurate Word Tokenizer for Thai
+License:	MIT License
+URL:		https://github.com/PyThaiNLP/attacut
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/9c/08/6b905097d1cd72dabc50b867c68bda1f971412a7dfee37b5b68fae997258/attacut-1.0.6.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-docopt
+Requires:	python3-fire
+Requires:	python3-nptyping
+Requires:	python3-numpy
+Requires:	python3-pyyaml
+Requires:	python3-six
+Requires:	python3-ssg
+Requires:	python3-torch
+
+%description
+# AttaCut: Fast and Reasonably Accurate Word Tokenizer for Thai
+
+[![Build Status](https://travis-ci.org/PyThaiNLP/attacut.svg?branch=master)](https://travis-ci.org/PyThaiNLP/attacut)
+[![Build status](https://ci.appveyor.com/api/projects/status/ittfnb2pyg95kpxk/branch/master?svg=true)](https://ci.appveyor.com/project/wannaphongcom/attacut/branch/master)
+[![](https://img.shields.io/badge/-presentation-informational)](https://drive.google.com/file/d/16AUNZv1HXVmERgryfBf4JpCo1QrQyHHE/view?usp=sharing)
+[![](http://img.shields.io/badge/arXiv-1911.07056-yellow.svg?style=flat)](https://arxiv.org/abs/1911.07056)
+
+## How does AttaCut look like?
+
+<div align="center">
+    <img src="https://i.imgur.com/8yMq7IB.png" width="700px"/>
+    <br/>
+    <b>TL;DR:</b> 
+3-Layer Dilated CNN on syllable and character features. It’s <b>6x faster</b> than DeepCut (SOTA) while its WL-f1 on BEST is <b>91%</b>, only 2% lower.
+</div>
+
+## Installation
+
+```
+$ pip install attacut
+```
+
+**Remarks:** Windows users need to install **PyTorch** before the command above.
+Please consult [PyTorch.org](https://pytorch.org) for more details.
+
+## Usage
+
+### Command-Line Interface
+
+```
+$ attacut-cli -h
+AttaCut: Fast and Reasonably Accurate Word Tokenizer for Thai
+
+Usage:
+  attacut-cli <src> [--dest=<dest>] [--model=<model>]
+  attacut-cli [-v | --version]
+  attacut-cli [-h | --help]
+
+Arguments:
+  <src>             Path to input text file to be tokenized
+
+Options:
+  -h --help         Show this screen.
+  --model=<model>   Model to be used [default: attacut-sc].
+  --dest=<dest>     If not specified, it'll be <src>-tokenized-by-<model>.txt
+  -v --version      Show version
+```
+
+### High-Level API 
+```
+from attacut import tokenize, Tokenizer
+
+# tokenize `txt` using our best model `attacut-sc`
+words = tokenize(txt)
+
+# alternatively, an AttaCut tokenizer might be instantiated directly, allowing
+# one to specify whether to use `attacut-sc` or `attacut-c`.
+atta = Tokenizer(model="attacut-sc")
+words = atta.tokenize(txt)
+```
+
+## Benchmark Results
+
+Belows are brief summaries. More details can be found on [our benchmarking page](https://pythainlp.github.io/attacut/benchmark.html).
+
+
+### Tokenization Quality
+![](https://pythainlp.github.io/attacut/_images/quality-benchmark-in-of-domain.png)
+
+### Speed
+![](https://pythainlp.github.io/attacut/_images/speed-benchmark-ec2.png)
+
+
+## Retraining on Custom Dataset
+Please refer to [our retraining page](https://pythainlp.github.io/attacut/)
+
+## Related Resources
+- [Tokenization Visualization][tovis]
+- [Thai Tokenizer Dockers][docker]
+
+## Acknowledgements
+This repository was initially done by [Pattarawat Chormai][pat], while interning at [Dr. Attapol Thamrongrattanarit's NLP Lab][ate], Chulalongkorn University, Bangkok, Thailand.
+Many people have involed in this project. Complete list of names can be found on [Acknowledgement](https://pythainlp.github.io/attacut/acknowledgement.html).
+
+
+[pat]: http://pat.chormai.org
+[ate]: https://attapol.github.io/lab.html
+[noom]: https://github.com/Ekkalak-T
+[can]: https://github.com/c4n
+[ake]: https://github.com/ekapolc
+[tovis]: https://pythainlp.github.io/tokenization-benchmark-visualization/
+[docker]: https://github.com/PyThaiNLP/docker-thai-tokenizers
+
+
+
+
+%package -n python3-attacut
+Summary:	Fast and Reasonably Accurate Word Tokenizer for Thai
+Provides:	python-attacut
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-attacut
+# AttaCut: Fast and Reasonably Accurate Word Tokenizer for Thai
+
+[![Build Status](https://travis-ci.org/PyThaiNLP/attacut.svg?branch=master)](https://travis-ci.org/PyThaiNLP/attacut)
+[![Build status](https://ci.appveyor.com/api/projects/status/ittfnb2pyg95kpxk/branch/master?svg=true)](https://ci.appveyor.com/project/wannaphongcom/attacut/branch/master)
+[![](https://img.shields.io/badge/-presentation-informational)](https://drive.google.com/file/d/16AUNZv1HXVmERgryfBf4JpCo1QrQyHHE/view?usp=sharing)
+[![](http://img.shields.io/badge/arXiv-1911.07056-yellow.svg?style=flat)](https://arxiv.org/abs/1911.07056)
+
+## How does AttaCut look like?
+
+<div align="center">
+    <img src="https://i.imgur.com/8yMq7IB.png" width="700px"/>
+    <br/>
+    <b>TL;DR:</b> 
+3-Layer Dilated CNN on syllable and character features. It’s <b>6x faster</b> than DeepCut (SOTA) while its WL-f1 on BEST is <b>91%</b>, only 2% lower.
+</div>
+
+## Installation
+
+```
+$ pip install attacut
+```
+
+**Remarks:** Windows users need to install **PyTorch** before the command above.
+Please consult [PyTorch.org](https://pytorch.org) for more details.
+
+## Usage
+
+### Command-Line Interface
+
+```
+$ attacut-cli -h
+AttaCut: Fast and Reasonably Accurate Word Tokenizer for Thai
+
+Usage:
+  attacut-cli <src> [--dest=<dest>] [--model=<model>]
+  attacut-cli [-v | --version]
+  attacut-cli [-h | --help]
+
+Arguments:
+  <src>             Path to input text file to be tokenized
+
+Options:
+  -h --help         Show this screen.
+  --model=<model>   Model to be used [default: attacut-sc].
+  --dest=<dest>     If not specified, it'll be <src>-tokenized-by-<model>.txt
+  -v --version      Show version
+```
+
+### High-Level API 
+```
+from attacut import tokenize, Tokenizer
+
+# tokenize `txt` using our best model `attacut-sc`
+words = tokenize(txt)
+
+# alternatively, an AttaCut tokenizer might be instantiated directly, allowing
+# one to specify whether to use `attacut-sc` or `attacut-c`.
+atta = Tokenizer(model="attacut-sc")
+words = atta.tokenize(txt)
+```
+
+## Benchmark Results
+
+Belows are brief summaries. More details can be found on [our benchmarking page](https://pythainlp.github.io/attacut/benchmark.html).
+
+
+### Tokenization Quality
+![](https://pythainlp.github.io/attacut/_images/quality-benchmark-in-of-domain.png)
+
+### Speed
+![](https://pythainlp.github.io/attacut/_images/speed-benchmark-ec2.png)
+
+
+## Retraining on Custom Dataset
+Please refer to [our retraining page](https://pythainlp.github.io/attacut/)
+
+## Related Resources
+- [Tokenization Visualization][tovis]
+- [Thai Tokenizer Dockers][docker]
+
+## Acknowledgements
+This repository was initially done by [Pattarawat Chormai][pat], while interning at [Dr. Attapol Thamrongrattanarit's NLP Lab][ate], Chulalongkorn University, Bangkok, Thailand.
+Many people have involed in this project. Complete list of names can be found on [Acknowledgement](https://pythainlp.github.io/attacut/acknowledgement.html).
+
+
+[pat]: http://pat.chormai.org
+[ate]: https://attapol.github.io/lab.html
+[noom]: https://github.com/Ekkalak-T
+[can]: https://github.com/c4n
+[ake]: https://github.com/ekapolc
+[tovis]: https://pythainlp.github.io/tokenization-benchmark-visualization/
+[docker]: https://github.com/PyThaiNLP/docker-thai-tokenizers
+
+
+
+
+%package help
+Summary:	Development documents and examples for attacut
+Provides:	python3-attacut-doc
+%description help
+# AttaCut: Fast and Reasonably Accurate Word Tokenizer for Thai
+
+[![Build Status](https://travis-ci.org/PyThaiNLP/attacut.svg?branch=master)](https://travis-ci.org/PyThaiNLP/attacut)
+[![Build status](https://ci.appveyor.com/api/projects/status/ittfnb2pyg95kpxk/branch/master?svg=true)](https://ci.appveyor.com/project/wannaphongcom/attacut/branch/master)
+[![](https://img.shields.io/badge/-presentation-informational)](https://drive.google.com/file/d/16AUNZv1HXVmERgryfBf4JpCo1QrQyHHE/view?usp=sharing)
+[![](http://img.shields.io/badge/arXiv-1911.07056-yellow.svg?style=flat)](https://arxiv.org/abs/1911.07056)
+
+## How does AttaCut look like?
+
+<div align="center">
+    <img src="https://i.imgur.com/8yMq7IB.png" width="700px"/>
+    <br/>
+    <b>TL;DR:</b> 
+3-Layer Dilated CNN on syllable and character features. It’s <b>6x faster</b> than DeepCut (SOTA) while its WL-f1 on BEST is <b>91%</b>, only 2% lower.
+</div>
+
+## Installation
+
+```
+$ pip install attacut
+```
+
+**Remarks:** Windows users need to install **PyTorch** before the command above.
+Please consult [PyTorch.org](https://pytorch.org) for more details.
+
+## Usage
+
+### Command-Line Interface
+
+```
+$ attacut-cli -h
+AttaCut: Fast and Reasonably Accurate Word Tokenizer for Thai
+
+Usage:
+  attacut-cli <src> [--dest=<dest>] [--model=<model>]
+  attacut-cli [-v | --version]
+  attacut-cli [-h | --help]
+
+Arguments:
+  <src>             Path to input text file to be tokenized
+
+Options:
+  -h --help         Show this screen.
+  --model=<model>   Model to be used [default: attacut-sc].
+  --dest=<dest>     If not specified, it'll be <src>-tokenized-by-<model>.txt
+  -v --version      Show version
+```
+
+### High-Level API 
+```
+from attacut import tokenize, Tokenizer
+
+# tokenize `txt` using our best model `attacut-sc`
+words = tokenize(txt)
+
+# alternatively, an AttaCut tokenizer might be instantiated directly, allowing
+# one to specify whether to use `attacut-sc` or `attacut-c`.
+atta = Tokenizer(model="attacut-sc")
+words = atta.tokenize(txt)
+```
+
+## Benchmark Results
+
+Belows are brief summaries. More details can be found on [our benchmarking page](https://pythainlp.github.io/attacut/benchmark.html).
+
+
+### Tokenization Quality
+![](https://pythainlp.github.io/attacut/_images/quality-benchmark-in-of-domain.png)
+
+### Speed
+![](https://pythainlp.github.io/attacut/_images/speed-benchmark-ec2.png)
+
+
+## Retraining on Custom Dataset
+Please refer to [our retraining page](https://pythainlp.github.io/attacut/)
+
+## Related Resources
+- [Tokenization Visualization][tovis]
+- [Thai Tokenizer Dockers][docker]
+
+## Acknowledgements
+This repository was initially done by [Pattarawat Chormai][pat], while interning at [Dr. Attapol Thamrongrattanarit's NLP Lab][ate], Chulalongkorn University, Bangkok, Thailand.
+Many people have involed in this project. Complete list of names can be found on [Acknowledgement](https://pythainlp.github.io/attacut/acknowledgement.html).
+
+
+[pat]: http://pat.chormai.org
+[ate]: https://attapol.github.io/lab.html
+[noom]: https://github.com/Ekkalak-T
+[can]: https://github.com/c4n
+[ake]: https://github.com/ekapolc
+[tovis]: https://pythainlp.github.io/tokenization-benchmark-visualization/
+[docker]: https://github.com/PyThaiNLP/docker-thai-tokenizers
+
+
+
+
+%prep
+%autosetup -n attacut-1.0.6
+
+%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-attacut -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.6-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..7c687e2
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+0d32368ece14466da30601e9181e996f  attacut-1.0.6.tar.gz