automatic import of python-estnltkopeneuler20.03

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+/estnltk-1.7.1.tar.gz
diff --git a/python-estnltk.spec b/python-estnltk.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-estnltk
+Version:	1.7.1
+Release:	1
+Summary:	Estnltk — open source tools for Estonian natural language processing
+License:	GPLv2
+URL:		https://github.com/estnltk/estnltk
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/6c/fc/4b3bd898e0d48cc8ca902ef27eb460188b0447d7f176cfddae40f5a17e46/estnltk-1.7.1.tar.gz
+
+Requires:	python3-estnltk-core
+Requires:	python3-regex
+Requires:	python3-crfsuite
+Requires:	python3-cached-property
+Requires:	python3-bs4
+Requires:	python3-html5lib
+Requires:	python3-lxml
+Requires:	python3-requests
+Requires:	python3-tqdm
+Requires:	python3-conllu
+Requires:	python3-pandas
+Requires:	python3-pyahocorasick
+Requires:	python3-networkx
+Requires:	python3-matplotlib
+Requires:	python3-ipython
+Requires:	python3-networkx
+Requires:	python3-matplotlib
+Requires:	python3-ipython
+Requires:	python3-networkx
+Requires:	python3-matplotlib
+Requires:	python3-ipython
+Requires:	python3-nltk
+
+%description
+EstNLTK provides common natural language processing functionality such as paragraph, sentence and word tokenization,
+morphological analysis, named entity recognition, etc. for the Estonian language.
+The project is funded by EKT ([Eesti Keeletehnoloogia Riiklik Programm](https://www.keeletehnoloogia.ee/)).
+This package contains EstNLTK's basic linguistic analysis, system and database tools:
+* `Text` class with the Estonian NLP pipeline;
+* tokenization tools: word, sentence and paragraph tokenization; clause segmentation; 
+* morphology tools: morphological analysis and disambiguation, spelling correction, morphological synthesis and syllabification, HFST based analyser and GT converter;
+* information extraction tools: addresses tagger, named entity recognizer, temporal expression tagger; tools for rule based and grammar based fact extraction;
+* experimental taggers: verb chain detector, noun phrase chunker, adjective phrase tagger;
+* syntactic analysis tools: preprocessing for syntactic analysis, VislCG3 and Maltparser based syntactic parsers;
+* Estonian Wordnet and Collocation-Net;
+* web taggers -- such as bert embeddings web tagger, stanza syntax web tagger and stanza ensemble syntax web tagger;
+* corpus importing tools -- tools for importing data from large Estonian corpora, such as the Reference Corpus or the National Corpus of Estonia;
+* system taggers -- regex tagger, disambiguator, atomizer, merge tagger etc;
+* utils for downloading additional resources (e.g. model files required by taggers); 
+* Postgres database tools;
+## Version 1.7
+### Installation
+EstNLTK is available for osx, windows-64, and linux-64, and for python versions 3.7 to 3.10. 
+You can install the latest version via PyPI:
+```
+pip install estnltk==1.7.1
+```
+Alternatively, you can install EstNLTK via [Anaconda](https://www.anaconda.com/download). Installation steps with conda:
+1. [create a conda environment](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-with-commands) with python 3.8, for instance:
+```
+conda create -n py38 python=3.8
+```
+2. [activate the environment](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#activating-an-environment), for instance:
+```
+conda activate py38
+```
+3. install EstNLTK with the command:
+```
+conda install -c estnltk -c conda-forge estnltk=1.7.1
+```
+_Note_: for using some of the tools in estnltk, you also need to have Java installed in your system. We recommend using Oracle Java http://www.oracle.com/technetwork/java/javase/downloads/index.html, although alternatives such as OpenJDK (http://openjdk.java.net/) should also work.
+### Using on Google Colab
+You can install EstNLTK on [Google Colab](https://colab.research.google.com) environment via command:
+```
+!pip install estnltk==1.7.1
+```
+### Documentation
+EstNLTK's tutorials come in the form of [jupyter notebooks](http://jupyter.org).
+  * [Starting point of tutorials](https://github.com/estnltk/estnltk/tree/main/tutorials)
+Additional educational materials on EstNLTK are available on web pages of an NLP course taught at the University of Tartu:
+  * [https://github.com/d009/EstNLP](https://github.com/d009/EstNLP) (in Estonian)  
+Note: if you have trouble viewing jupyter notebooks in github (you get an error message _Sorry, something went wrong. Reload?_ at loading a notebook), then try to open notebooks with the help of [https://nbviewer.jupyter.org](https://nbviewer.jupyter.org)
+### Source
+The source of the last release is available at the [main branch](https://github.com/estnltk/estnltk/tree/main/estnltk).
+Changelog is available [here](https://github.com/estnltk/estnltk/blob/main/CHANGELOG.md).
+## Citation
+In case you use EstNLTK in your work, please cite us as follows:
+    @InProceedings{laur-EtAl:2020:LREC,
+      author    = {Laur, Sven  and  Orasmaa, Siim  and  Särg, Dage  and  Tammo, Paul},
+      title     = {EstNLTK 1.6: Remastered Estonian NLP Pipeline},
+      booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference},
+      month     = {May},
+      year      = {2020},
+      address   = {Marseille, France},
+      publisher = {European Language Resources Association},
+      pages     = {7154--7162},
+      url       = {https://www.aclweb.org/anthology/2020.lrec-1.884}
+
+%package -n python3-estnltk
+Summary:	Estnltk — open source tools for Estonian natural language processing
+Provides:	python-estnltk
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+BuildRequires:	python3-cffi
+BuildRequires:	gcc
+BuildRequires:	gdb
+%description -n python3-estnltk
+EstNLTK provides common natural language processing functionality such as paragraph, sentence and word tokenization,
+morphological analysis, named entity recognition, etc. for the Estonian language.
+The project is funded by EKT ([Eesti Keeletehnoloogia Riiklik Programm](https://www.keeletehnoloogia.ee/)).
+This package contains EstNLTK's basic linguistic analysis, system and database tools:
+* `Text` class with the Estonian NLP pipeline;
+* tokenization tools: word, sentence and paragraph tokenization; clause segmentation; 
+* morphology tools: morphological analysis and disambiguation, spelling correction, morphological synthesis and syllabification, HFST based analyser and GT converter;
+* information extraction tools: addresses tagger, named entity recognizer, temporal expression tagger; tools for rule based and grammar based fact extraction;
+* experimental taggers: verb chain detector, noun phrase chunker, adjective phrase tagger;
+* syntactic analysis tools: preprocessing for syntactic analysis, VislCG3 and Maltparser based syntactic parsers;
+* Estonian Wordnet and Collocation-Net;
+* web taggers -- such as bert embeddings web tagger, stanza syntax web tagger and stanza ensemble syntax web tagger;
+* corpus importing tools -- tools for importing data from large Estonian corpora, such as the Reference Corpus or the National Corpus of Estonia;
+* system taggers -- regex tagger, disambiguator, atomizer, merge tagger etc;
+* utils for downloading additional resources (e.g. model files required by taggers); 
+* Postgres database tools;
+## Version 1.7
+### Installation
+EstNLTK is available for osx, windows-64, and linux-64, and for python versions 3.7 to 3.10. 
+You can install the latest version via PyPI:
+```
+pip install estnltk==1.7.1
+```
+Alternatively, you can install EstNLTK via [Anaconda](https://www.anaconda.com/download). Installation steps with conda:
+1. [create a conda environment](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-with-commands) with python 3.8, for instance:
+```
+conda create -n py38 python=3.8
+```
+2. [activate the environment](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#activating-an-environment), for instance:
+```
+conda activate py38
+```
+3. install EstNLTK with the command:
+```
+conda install -c estnltk -c conda-forge estnltk=1.7.1
+```
+_Note_: for using some of the tools in estnltk, you also need to have Java installed in your system. We recommend using Oracle Java http://www.oracle.com/technetwork/java/javase/downloads/index.html, although alternatives such as OpenJDK (http://openjdk.java.net/) should also work.
+### Using on Google Colab
+You can install EstNLTK on [Google Colab](https://colab.research.google.com) environment via command:
+```
+!pip install estnltk==1.7.1
+```
+### Documentation
+EstNLTK's tutorials come in the form of [jupyter notebooks](http://jupyter.org).
+  * [Starting point of tutorials](https://github.com/estnltk/estnltk/tree/main/tutorials)
+Additional educational materials on EstNLTK are available on web pages of an NLP course taught at the University of Tartu:
+  * [https://github.com/d009/EstNLP](https://github.com/d009/EstNLP) (in Estonian)  
+Note: if you have trouble viewing jupyter notebooks in github (you get an error message _Sorry, something went wrong. Reload?_ at loading a notebook), then try to open notebooks with the help of [https://nbviewer.jupyter.org](https://nbviewer.jupyter.org)
+### Source
+The source of the last release is available at the [main branch](https://github.com/estnltk/estnltk/tree/main/estnltk).
+Changelog is available [here](https://github.com/estnltk/estnltk/blob/main/CHANGELOG.md).
+## Citation
+In case you use EstNLTK in your work, please cite us as follows:
+    @InProceedings{laur-EtAl:2020:LREC,
+      author    = {Laur, Sven  and  Orasmaa, Siim  and  Särg, Dage  and  Tammo, Paul},
+      title     = {EstNLTK 1.6: Remastered Estonian NLP Pipeline},
+      booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference},
+      month     = {May},
+      year      = {2020},
+      address   = {Marseille, France},
+      publisher = {European Language Resources Association},
+      pages     = {7154--7162},
+      url       = {https://www.aclweb.org/anthology/2020.lrec-1.884}
+
+%package help
+Summary:	Development documents and examples for estnltk
+Provides:	python3-estnltk-doc
+%description help
+EstNLTK provides common natural language processing functionality such as paragraph, sentence and word tokenization,
+morphological analysis, named entity recognition, etc. for the Estonian language.
+The project is funded by EKT ([Eesti Keeletehnoloogia Riiklik Programm](https://www.keeletehnoloogia.ee/)).
+This package contains EstNLTK's basic linguistic analysis, system and database tools:
+* `Text` class with the Estonian NLP pipeline;
+* tokenization tools: word, sentence and paragraph tokenization; clause segmentation; 
+* morphology tools: morphological analysis and disambiguation, spelling correction, morphological synthesis and syllabification, HFST based analyser and GT converter;
+* information extraction tools: addresses tagger, named entity recognizer, temporal expression tagger; tools for rule based and grammar based fact extraction;
+* experimental taggers: verb chain detector, noun phrase chunker, adjective phrase tagger;
+* syntactic analysis tools: preprocessing for syntactic analysis, VislCG3 and Maltparser based syntactic parsers;
+* Estonian Wordnet and Collocation-Net;
+* web taggers -- such as bert embeddings web tagger, stanza syntax web tagger and stanza ensemble syntax web tagger;
+* corpus importing tools -- tools for importing data from large Estonian corpora, such as the Reference Corpus or the National Corpus of Estonia;
+* system taggers -- regex tagger, disambiguator, atomizer, merge tagger etc;
+* utils for downloading additional resources (e.g. model files required by taggers); 
+* Postgres database tools;
+## Version 1.7
+### Installation
+EstNLTK is available for osx, windows-64, and linux-64, and for python versions 3.7 to 3.10. 
+You can install the latest version via PyPI:
+```
+pip install estnltk==1.7.1
+```
+Alternatively, you can install EstNLTK via [Anaconda](https://www.anaconda.com/download). Installation steps with conda:
+1. [create a conda environment](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#creating-an-environment-with-commands) with python 3.8, for instance:
+```
+conda create -n py38 python=3.8
+```
+2. [activate the environment](https://conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#activating-an-environment), for instance:
+```
+conda activate py38
+```
+3. install EstNLTK with the command:
+```
+conda install -c estnltk -c conda-forge estnltk=1.7.1
+```
+_Note_: for using some of the tools in estnltk, you also need to have Java installed in your system. We recommend using Oracle Java http://www.oracle.com/technetwork/java/javase/downloads/index.html, although alternatives such as OpenJDK (http://openjdk.java.net/) should also work.
+### Using on Google Colab
+You can install EstNLTK on [Google Colab](https://colab.research.google.com) environment via command:
+```
+!pip install estnltk==1.7.1
+```
+### Documentation
+EstNLTK's tutorials come in the form of [jupyter notebooks](http://jupyter.org).
+  * [Starting point of tutorials](https://github.com/estnltk/estnltk/tree/main/tutorials)
+Additional educational materials on EstNLTK are available on web pages of an NLP course taught at the University of Tartu:
+  * [https://github.com/d009/EstNLP](https://github.com/d009/EstNLP) (in Estonian)  
+Note: if you have trouble viewing jupyter notebooks in github (you get an error message _Sorry, something went wrong. Reload?_ at loading a notebook), then try to open notebooks with the help of [https://nbviewer.jupyter.org](https://nbviewer.jupyter.org)
+### Source
+The source of the last release is available at the [main branch](https://github.com/estnltk/estnltk/tree/main/estnltk).
+Changelog is available [here](https://github.com/estnltk/estnltk/blob/main/CHANGELOG.md).
+## Citation
+In case you use EstNLTK in your work, please cite us as follows:
+    @InProceedings{laur-EtAl:2020:LREC,
+      author    = {Laur, Sven  and  Orasmaa, Siim  and  Särg, Dage  and  Tammo, Paul},
+      title     = {EstNLTK 1.6: Remastered Estonian NLP Pipeline},
+      booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference},
+      month     = {May},
+      year      = {2020},
+      address   = {Marseille, France},
+      publisher = {European Language Resources Association},
+      pages     = {7154--7162},
+      url       = {https://www.aclweb.org/anthology/2020.lrec-1.884}
+
+%prep
+%autosetup -n estnltk-1.7.1
+
+%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-estnltk -f filelist.lst
+%dir %{python3_sitearch}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.7.1-1
+- Package Spec generated
diff --git a/sources b/sources
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index 0000000..0015d0d
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+c5f07917ca8145321e495beec04ec730  estnltk-1.7.1.tar.gz