automatic import of python-sumy

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+/sumy-0.11.0.tar.gz
diff --git a/python-sumy.spec b/python-sumy.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-sumy
+Version:	0.11.0
+Release:	1
+Summary:	Module for automatic summarization of text documents and HTML pages.
+License:	Apache License, Version 2.0
+URL:		https://github.com/miso-belica/sumy
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/df/fd/59098f716c39422d5ca47caa97ef44cd2829384bfdf22e1420e839fde3c1/sumy-0.11.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-docopt
+Requires:	python3-breadability
+Requires:	python3-requests
+Requires:	python3-pycountry
+Requires:	python3-nltk
+Requires:	python3-pyarabic
+Requires:	python3-jieba
+Requires:	python3-greek-stemmer-pos
+Requires:	python3-hebrew-tokenizer
+Requires:	python3-tinysegmenter
+Requires:	python3-konlpy
+Requires:	python3-numpy
+Requires:	python3-numpy
+
+%description
+# Automatic text summarizer
+
+
+[![image](https://github.com/miso-belica/sumy/actions/workflows/run-tests.yml/badge.svg)](https://github.com/miso-belica/sumy/actions/workflows/run-tests.yml)
+[![GitPod Ready-to-Code](https://img.shields.io/badge/Gitpod-Ready--to--Code-blue?logo=gitpod)](https://gitpod.io/#https://github.com/miso-belica/sumy) 
+
+Simple library and command line utility for extracting summary from HTML
+pages or plain texts. The package also contains simple evaluation
+framework for text summaries. Implemented summarization methods are described in the [documentation](docs/summarizators.md). I also maintain a list of [alternative implementations](docs/alternatives.md) of the summarizers in various programming languages.
+
+## Is my natural language supported?
+There is a [good chance](docs/index.md#Tokenizer) it is. But if not it is [not too hard to add](docs/how-to-add-new-language.md) it.
+
+## Installation
+
+Make sure you have [Python](http://www.python.org/) 3.6+ and
+[pip](https://crate.io/packages/pip/)
+([Windows](http://docs.python-guide.org/en/latest/starting/install/win/),
+[Linux](http://docs.python-guide.org/en/latest/starting/install/linux/))
+installed. Run simply (preferred way):
+
+```sh
+$ [sudo] pip install sumy
+$ [sudo] pip install git+git://github.com/miso-belica/sumy.git  # for the fresh version
+```
+
+## Usage
+
+Thanks to some good soul out there, the easiest way to try sumy is in your browser at https://huggingface.co/spaces/issam9/sumy_space
+
+Sumy contains command line utility for quick summarization of documents.
+
+```sh
+$ sumy lex-rank --length=10 --url=https://en.wikipedia.org/wiki/Automatic_summarization # what's summarization?
+$ sumy lex-rank --language=uk --length=30 --url=https://uk.wikipedia.org/wiki/Україна
+$ sumy luhn --language=czech --url=https://www.zdrojak.cz/clanky/automaticke-zabezpeceni/
+$ sumy edmundson --language=czech --length=3% --url=https://cs.wikipedia.org/wiki/Bitva_u_Lipan
+$ sumy --help # for more info
+```
+
+Various evaluation methods for some summarization method can be executed
+by commands below:
+
+```sh
+$ sumy_eval lex-rank reference_summary.txt --url=https://en.wikipedia.org/wiki/Automatic_summarization
+$ sumy_eval lsa reference_summary.txt --language=czech --url=https://www.zdrojak.cz/clanky/automaticke-zabezpeceni/
+$ sumy_eval edmundson reference_summary.txt --language=czech --url=https://cs.wikipedia.org/wiki/Bitva_u_Lipan
+$ sumy_eval --help # for more info
+```
+
+If you don't want to bother by the installation, you can try it as a container.
+
+```sh
+$ docker run --rm misobelica/sumy lex-rank --length=10 --url=https://en.wikipedia.org/wiki/Automatic_summarization
+```
+
+## Python API
+
+Or you can use sumy like a library in your project. Create file `sumy_example.py` ([don't name it `sumy.py`](https://stackoverflow.com/questions/41334622/python-sumy-no-module-named-sumy-parsers-html)) with the code below to test it.
+
+```python
+# -*- coding: utf-8 -*-
+
+from __future__ import absolute_import
+from __future__ import division, print_function, unicode_literals
+
+from sumy.parsers.html import HtmlParser
+from sumy.parsers.plaintext import PlaintextParser
+from sumy.nlp.tokenizers import Tokenizer
+from sumy.summarizers.lsa import LsaSummarizer as Summarizer
+from sumy.nlp.stemmers import Stemmer
+from sumy.utils import get_stop_words
+
+
+LANGUAGE = "english"
+SENTENCES_COUNT = 10
+
+
+if __name__ == "__main__":
+    url = "https://en.wikipedia.org/wiki/Automatic_summarization"
+    parser = HtmlParser.from_url(url, Tokenizer(LANGUAGE))
+    # or for plain text files
+    # parser = PlaintextParser.from_file("document.txt", Tokenizer(LANGUAGE))
+    # parser = PlaintextParser.from_string("Check this out.", Tokenizer(LANGUAGE))
+    stemmer = Stemmer(LANGUAGE)
+
+    summarizer = Summarizer(stemmer)
+    summarizer.stop_words = get_stop_words(LANGUAGE)
+
+    for sentence in summarizer(parser.document, SENTENCES_COUNT):
+        print(sentence)
+```
+
+## Interesting projects using sumy
+
+I found some interesting projects while browsing the internet or sometimes people wrote me an e-mail with questions, and I was curious how they use the sumy :)
+
+* [Learning to generate questions from text](https://software.intel.com/en-us/articles/using-natural-language-processing-for-smart-question-generation) - https://github.com/adityasarvaiya/Automatic_Question_Generation
+* Summarize your video to any duration - https://github.com/aswanthkoleri/VideoMash and similar https://github.com/OpenGenus/vidsum
+* Tool for collectively summarizing large discussions - https://github.com/amyxzhang/wikum
+
+
+%package -n python3-sumy
+Summary:	Module for automatic summarization of text documents and HTML pages.
+Provides:	python-sumy
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-sumy
+# Automatic text summarizer
+
+
+[![image](https://github.com/miso-belica/sumy/actions/workflows/run-tests.yml/badge.svg)](https://github.com/miso-belica/sumy/actions/workflows/run-tests.yml)
+[![GitPod Ready-to-Code](https://img.shields.io/badge/Gitpod-Ready--to--Code-blue?logo=gitpod)](https://gitpod.io/#https://github.com/miso-belica/sumy) 
+
+Simple library and command line utility for extracting summary from HTML
+pages or plain texts. The package also contains simple evaluation
+framework for text summaries. Implemented summarization methods are described in the [documentation](docs/summarizators.md). I also maintain a list of [alternative implementations](docs/alternatives.md) of the summarizers in various programming languages.
+
+## Is my natural language supported?
+There is a [good chance](docs/index.md#Tokenizer) it is. But if not it is [not too hard to add](docs/how-to-add-new-language.md) it.
+
+## Installation
+
+Make sure you have [Python](http://www.python.org/) 3.6+ and
+[pip](https://crate.io/packages/pip/)
+([Windows](http://docs.python-guide.org/en/latest/starting/install/win/),
+[Linux](http://docs.python-guide.org/en/latest/starting/install/linux/))
+installed. Run simply (preferred way):
+
+```sh
+$ [sudo] pip install sumy
+$ [sudo] pip install git+git://github.com/miso-belica/sumy.git  # for the fresh version
+```
+
+## Usage
+
+Thanks to some good soul out there, the easiest way to try sumy is in your browser at https://huggingface.co/spaces/issam9/sumy_space
+
+Sumy contains command line utility for quick summarization of documents.
+
+```sh
+$ sumy lex-rank --length=10 --url=https://en.wikipedia.org/wiki/Automatic_summarization # what's summarization?
+$ sumy lex-rank --language=uk --length=30 --url=https://uk.wikipedia.org/wiki/Україна
+$ sumy luhn --language=czech --url=https://www.zdrojak.cz/clanky/automaticke-zabezpeceni/
+$ sumy edmundson --language=czech --length=3% --url=https://cs.wikipedia.org/wiki/Bitva_u_Lipan
+$ sumy --help # for more info
+```
+
+Various evaluation methods for some summarization method can be executed
+by commands below:
+
+```sh
+$ sumy_eval lex-rank reference_summary.txt --url=https://en.wikipedia.org/wiki/Automatic_summarization
+$ sumy_eval lsa reference_summary.txt --language=czech --url=https://www.zdrojak.cz/clanky/automaticke-zabezpeceni/
+$ sumy_eval edmundson reference_summary.txt --language=czech --url=https://cs.wikipedia.org/wiki/Bitva_u_Lipan
+$ sumy_eval --help # for more info
+```
+
+If you don't want to bother by the installation, you can try it as a container.
+
+```sh
+$ docker run --rm misobelica/sumy lex-rank --length=10 --url=https://en.wikipedia.org/wiki/Automatic_summarization
+```
+
+## Python API
+
+Or you can use sumy like a library in your project. Create file `sumy_example.py` ([don't name it `sumy.py`](https://stackoverflow.com/questions/41334622/python-sumy-no-module-named-sumy-parsers-html)) with the code below to test it.
+
+```python
+# -*- coding: utf-8 -*-
+
+from __future__ import absolute_import
+from __future__ import division, print_function, unicode_literals
+
+from sumy.parsers.html import HtmlParser
+from sumy.parsers.plaintext import PlaintextParser
+from sumy.nlp.tokenizers import Tokenizer
+from sumy.summarizers.lsa import LsaSummarizer as Summarizer
+from sumy.nlp.stemmers import Stemmer
+from sumy.utils import get_stop_words
+
+
+LANGUAGE = "english"
+SENTENCES_COUNT = 10
+
+
+if __name__ == "__main__":
+    url = "https://en.wikipedia.org/wiki/Automatic_summarization"
+    parser = HtmlParser.from_url(url, Tokenizer(LANGUAGE))
+    # or for plain text files
+    # parser = PlaintextParser.from_file("document.txt", Tokenizer(LANGUAGE))
+    # parser = PlaintextParser.from_string("Check this out.", Tokenizer(LANGUAGE))
+    stemmer = Stemmer(LANGUAGE)
+
+    summarizer = Summarizer(stemmer)
+    summarizer.stop_words = get_stop_words(LANGUAGE)
+
+    for sentence in summarizer(parser.document, SENTENCES_COUNT):
+        print(sentence)
+```
+
+## Interesting projects using sumy
+
+I found some interesting projects while browsing the internet or sometimes people wrote me an e-mail with questions, and I was curious how they use the sumy :)
+
+* [Learning to generate questions from text](https://software.intel.com/en-us/articles/using-natural-language-processing-for-smart-question-generation) - https://github.com/adityasarvaiya/Automatic_Question_Generation
+* Summarize your video to any duration - https://github.com/aswanthkoleri/VideoMash and similar https://github.com/OpenGenus/vidsum
+* Tool for collectively summarizing large discussions - https://github.com/amyxzhang/wikum
+
+
+%package help
+Summary:	Development documents and examples for sumy
+Provides:	python3-sumy-doc
+%description help
+# Automatic text summarizer
+
+
+[![image](https://github.com/miso-belica/sumy/actions/workflows/run-tests.yml/badge.svg)](https://github.com/miso-belica/sumy/actions/workflows/run-tests.yml)
+[![GitPod Ready-to-Code](https://img.shields.io/badge/Gitpod-Ready--to--Code-blue?logo=gitpod)](https://gitpod.io/#https://github.com/miso-belica/sumy) 
+
+Simple library and command line utility for extracting summary from HTML
+pages or plain texts. The package also contains simple evaluation
+framework for text summaries. Implemented summarization methods are described in the [documentation](docs/summarizators.md). I also maintain a list of [alternative implementations](docs/alternatives.md) of the summarizers in various programming languages.
+
+## Is my natural language supported?
+There is a [good chance](docs/index.md#Tokenizer) it is. But if not it is [not too hard to add](docs/how-to-add-new-language.md) it.
+
+## Installation
+
+Make sure you have [Python](http://www.python.org/) 3.6+ and
+[pip](https://crate.io/packages/pip/)
+([Windows](http://docs.python-guide.org/en/latest/starting/install/win/),
+[Linux](http://docs.python-guide.org/en/latest/starting/install/linux/))
+installed. Run simply (preferred way):
+
+```sh
+$ [sudo] pip install sumy
+$ [sudo] pip install git+git://github.com/miso-belica/sumy.git  # for the fresh version
+```
+
+## Usage
+
+Thanks to some good soul out there, the easiest way to try sumy is in your browser at https://huggingface.co/spaces/issam9/sumy_space
+
+Sumy contains command line utility for quick summarization of documents.
+
+```sh
+$ sumy lex-rank --length=10 --url=https://en.wikipedia.org/wiki/Automatic_summarization # what's summarization?
+$ sumy lex-rank --language=uk --length=30 --url=https://uk.wikipedia.org/wiki/Україна
+$ sumy luhn --language=czech --url=https://www.zdrojak.cz/clanky/automaticke-zabezpeceni/
+$ sumy edmundson --language=czech --length=3% --url=https://cs.wikipedia.org/wiki/Bitva_u_Lipan
+$ sumy --help # for more info
+```
+
+Various evaluation methods for some summarization method can be executed
+by commands below:
+
+```sh
+$ sumy_eval lex-rank reference_summary.txt --url=https://en.wikipedia.org/wiki/Automatic_summarization
+$ sumy_eval lsa reference_summary.txt --language=czech --url=https://www.zdrojak.cz/clanky/automaticke-zabezpeceni/
+$ sumy_eval edmundson reference_summary.txt --language=czech --url=https://cs.wikipedia.org/wiki/Bitva_u_Lipan
+$ sumy_eval --help # for more info
+```
+
+If you don't want to bother by the installation, you can try it as a container.
+
+```sh
+$ docker run --rm misobelica/sumy lex-rank --length=10 --url=https://en.wikipedia.org/wiki/Automatic_summarization
+```
+
+## Python API
+
+Or you can use sumy like a library in your project. Create file `sumy_example.py` ([don't name it `sumy.py`](https://stackoverflow.com/questions/41334622/python-sumy-no-module-named-sumy-parsers-html)) with the code below to test it.
+
+```python
+# -*- coding: utf-8 -*-
+
+from __future__ import absolute_import
+from __future__ import division, print_function, unicode_literals
+
+from sumy.parsers.html import HtmlParser
+from sumy.parsers.plaintext import PlaintextParser
+from sumy.nlp.tokenizers import Tokenizer
+from sumy.summarizers.lsa import LsaSummarizer as Summarizer
+from sumy.nlp.stemmers import Stemmer
+from sumy.utils import get_stop_words
+
+
+LANGUAGE = "english"
+SENTENCES_COUNT = 10
+
+
+if __name__ == "__main__":
+    url = "https://en.wikipedia.org/wiki/Automatic_summarization"
+    parser = HtmlParser.from_url(url, Tokenizer(LANGUAGE))
+    # or for plain text files
+    # parser = PlaintextParser.from_file("document.txt", Tokenizer(LANGUAGE))
+    # parser = PlaintextParser.from_string("Check this out.", Tokenizer(LANGUAGE))
+    stemmer = Stemmer(LANGUAGE)
+
+    summarizer = Summarizer(stemmer)
+    summarizer.stop_words = get_stop_words(LANGUAGE)
+
+    for sentence in summarizer(parser.document, SENTENCES_COUNT):
+        print(sentence)
+```
+
+## Interesting projects using sumy
+
+I found some interesting projects while browsing the internet or sometimes people wrote me an e-mail with questions, and I was curious how they use the sumy :)
+
+* [Learning to generate questions from text](https://software.intel.com/en-us/articles/using-natural-language-processing-for-smart-question-generation) - https://github.com/adityasarvaiya/Automatic_Question_Generation
+* Summarize your video to any duration - https://github.com/aswanthkoleri/VideoMash and similar https://github.com/OpenGenus/vidsum
+* Tool for collectively summarizing large discussions - https://github.com/amyxzhang/wikum
+
+
+%prep
+%autosetup -n sumy-0.11.0
+
+%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-sumy -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.11.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
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--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+2f565021806da2521cf0cf5da3872837  sumy-0.11.0.tar.gz