%global _empty_manifest_terminate_build 0
Name:		python-revscoring
Version:	2.11.10
Release:	1
Summary:	A set of utilities for generating quality scores for MediaWiki revisions
License:	MIT
URL:		https://github.com/wikimedia/revscoring
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/8a/c2/0d4c96767b6a66044b61735c100b3a2f45f79d3af1142afd4303b32c0674/revscoring-2.11.10.tar.gz
BuildArch:	noarch

Requires:	python3-Cython
Requires:	python3-deep-merge
Requires:	python3-deltas
Requires:	python3-docopt
Requires:	python3-gensim
Requires:	python3-hanziconv
Requires:	python3-mmh3
Requires:	python3-more-itertools
Requires:	python3-mwapi
Requires:	python3-mwbase
Requires:	python3-mwtypes
Requires:	python3-mwparserfromhell
Requires:	python3-mysqltsv
Requires:	python3-nltk
Requires:	python3-numpy
Requires:	python3-pytz
Requires:	python3-requests
Requires:	python3-pyenchant
Requires:	python3-scipy
Requires:	python3-scikit-learn
Requires:	python3-tabulate
Requires:	python3-tqdm
Requires:	python3-yamlconf
Requires:	python3-flashtext

%description
[![Build Status](https://travis-ci.org/wikimedia/revscoring.svg?branch=master)](https://travis-ci.org/wikimedia/revscoring)
[![Test coverage](https://codecov.io/gh/wikimedia/revscoring/branch/master/graph/badge.svg)](https://codecov.io/gh/wikimedia/revscoring)
[![GitHub license](https://img.shields.io/github/license/wikimedia/revscoring.svg)](./LICENSE)
[![PyPI version](https://badge.fury.io/py/revscoring.svg)](https://badge.fury.io/py/revscoring)
# Revision Scoring

A generic, machine learning-based revision scoring system designed to help automate critical wiki-work — for example, vandalism detection and removal. This library powers [ORES](https://ores.wikimedia.org).

## Example


Using a scorer_model to score a revision::
```python
  import mwapi
  from revscoring import Model
  from revscoring.extractors.api.extractor import Extractor

  with open("models/enwiki.damaging.linear_svc.model") as f:
       scorer_model = Model.load(f)

  extractor = Extractor(mwapi.Session(host="https://en.wikipedia.org",
                                          user_agent="revscoring demo"))

  feature_values = list(extractor.extract(123456789, scorer_model.features))

  print(scorer_model.score(feature_values))
  {'prediction': True, 'probability': {False: 0.4694409344514984, True: 0.5305590655485017}}
  ```


# Installation

The easiest way to install is via the Python package installer
(pip).

``pip install revscoring``

You may find that some of the dependencies fail to compile (namely
`scipy`, `numpy` and `sklearn`).  In that case, you'll need to install some
dependencies in your operating system.

### Ubuntu & Debian:
  *  Run ``sudo apt-get install python3-dev g++ gfortran liblapack-dev libopenblas-dev enchant``
  *  Run ``sudo apt-get install aspell-ar aspell-bn aspell-el aspell-id aspell-is aspell-pl aspell-ro aspell-sv aspell-ta aspell-uk myspell-cs myspell-de-at myspell-de-ch myspell-de-de myspell-es myspell-et myspell-fa myspell-fr myspell-he myspell-hr myspell-hu myspell-lv myspell-nb myspell-nl myspell-pt-pt myspell-pt-br myspell-ru myspell-hr hunspell-bs hunspell-ca hunspell-en-au hunspell-en-us hunspell-en-gb hunspell-eu hunspell-gl hunspell-it hunspell-hi hunspell-sr hunspell-vi voikko-fi``
<!-- ### Windows:
<i>TODO</i>
-->
### MacOS:
  Using Homebrew and pip, installing `revscoring` and `enchant` can be accomplished
  as follows::

```bash
brew install aspell --with-all-languages
brew install enchant
pip install --no-binary pyenchant revscoring
```

#### Adding languages in aspell (MacOS only)

```bash
cd /tmp
wget http://ftp.gnu.org/gnu/aspell/dict/pt/aspell-pt-0.50-2.tar.bz2
bzip2 -dc aspell-pt-0.50-2.tar.bz2 | tar xvf -
cd aspell-pt-0.50-2
./configure
make
sudo make install
```

 Caveats: <br>
  <b><u> The differences between the `aspell` and `myspell` dictionaries can cause </b>
    <b> <u>some of the tests to fail </b>


Finally, in order to make use of language features, you'll need to download
some NLTK data.  The following command will get the necessary corpora.

``python -m nltk.downloader omw sentiwordnet stopwords wordnet``

You'll also need to install [enchant](https://en.wikipedia.org/wiki/Enchant_(software))-compatible
dictionaries of the languages you'd like to use.  We recommend the following:

* languages.arabic: aspell-ar
* languages.basque: hunspell-eu
* languages.bengali: aspell-bn
* languages.bosnian: hunspell-bs
* languages.catalan: myspell-ca
* languages.czech: myspell-cs
* languages.croatian: myspell-hr
* languages.dutch: myspell-nl
* languages.english: myspell-en-us myspell-en-gb myspell-en-au
* languages.estonian: myspell-et
* languages.finnish: voikko-fi
* languages.french: myspell-fr
* languages.galician: hunspell-gl
* languages.german: myspell-de-at myspell-de-ch myspell-de-de
* languages.greek: aspell-el
* languages.hebrew: myspell-he
* languages.hindi: aspell-hi
* languages.hungarian: myspell-hu
* languages.icelandic: aspell-is
* languages.indonesian: aspell-id
* languages.italian: myspell-it
* languages.latvian: myspell-lv
* languages.norwegian: myspell-nb
* languages.persian: myspell-fa
* languages.polish: aspell-pl
* languages.portuguese: myspell-pt-pt myspell-pt-br
* languages.serbian: hunspell-sr
* languages.spanish: myspell-es
* languages.swedish: aspell-sv
* languages.tamil: aspell-ta
* languages.russian: myspell-ru
* languages.ukrainian: aspell-uk
* languages.vietnamese: hunspell-vi

# Development
To contribute, ensure to install the dependencies:
```bash
$ pip install -r requirements.txt
```

Install necessary NLTK data:

``python -m nltk.downloader omw sentiwordnet stopwords wordnet``

## Running tests
Make sure you install test dependencies:

```bash
$ pip install -r test-requirements.txt
```

Then run:

```bash
$ pytest . -vv
```
# Reporting bugs
To report a bug, please use [Phabricator](https://phabricator.wikimedia.org/maniphest/task/edit/form/1/?projects=revscoring)

# Authors
  *   [Aaron Halfaker](http://halfaker.info)
  *   [Helder](https://github.com/he7d3r)
  *   [Adam Roses Wight](https://mediawiki.org/wiki/User:Adamw)
  *   [Amir Sarabadani](https://github.com/Ladsgroup)


%package -n python3-revscoring
Summary:	A set of utilities for generating quality scores for MediaWiki revisions
Provides:	python-revscoring
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-revscoring
[![Build Status](https://travis-ci.org/wikimedia/revscoring.svg?branch=master)](https://travis-ci.org/wikimedia/revscoring)
[![Test coverage](https://codecov.io/gh/wikimedia/revscoring/branch/master/graph/badge.svg)](https://codecov.io/gh/wikimedia/revscoring)
[![GitHub license](https://img.shields.io/github/license/wikimedia/revscoring.svg)](./LICENSE)
[![PyPI version](https://badge.fury.io/py/revscoring.svg)](https://badge.fury.io/py/revscoring)
# Revision Scoring

A generic, machine learning-based revision scoring system designed to help automate critical wiki-work — for example, vandalism detection and removal. This library powers [ORES](https://ores.wikimedia.org).

## Example


Using a scorer_model to score a revision::
```python
  import mwapi
  from revscoring import Model
  from revscoring.extractors.api.extractor import Extractor

  with open("models/enwiki.damaging.linear_svc.model") as f:
       scorer_model = Model.load(f)

  extractor = Extractor(mwapi.Session(host="https://en.wikipedia.org",
                                          user_agent="revscoring demo"))

  feature_values = list(extractor.extract(123456789, scorer_model.features))

  print(scorer_model.score(feature_values))
  {'prediction': True, 'probability': {False: 0.4694409344514984, True: 0.5305590655485017}}
  ```


# Installation

The easiest way to install is via the Python package installer
(pip).

``pip install revscoring``

You may find that some of the dependencies fail to compile (namely
`scipy`, `numpy` and `sklearn`).  In that case, you'll need to install some
dependencies in your operating system.

### Ubuntu & Debian:
  *  Run ``sudo apt-get install python3-dev g++ gfortran liblapack-dev libopenblas-dev enchant``
  *  Run ``sudo apt-get install aspell-ar aspell-bn aspell-el aspell-id aspell-is aspell-pl aspell-ro aspell-sv aspell-ta aspell-uk myspell-cs myspell-de-at myspell-de-ch myspell-de-de myspell-es myspell-et myspell-fa myspell-fr myspell-he myspell-hr myspell-hu myspell-lv myspell-nb myspell-nl myspell-pt-pt myspell-pt-br myspell-ru myspell-hr hunspell-bs hunspell-ca hunspell-en-au hunspell-en-us hunspell-en-gb hunspell-eu hunspell-gl hunspell-it hunspell-hi hunspell-sr hunspell-vi voikko-fi``
<!-- ### Windows:
<i>TODO</i>
-->
### MacOS:
  Using Homebrew and pip, installing `revscoring` and `enchant` can be accomplished
  as follows::

```bash
brew install aspell --with-all-languages
brew install enchant
pip install --no-binary pyenchant revscoring
```

#### Adding languages in aspell (MacOS only)

```bash
cd /tmp
wget http://ftp.gnu.org/gnu/aspell/dict/pt/aspell-pt-0.50-2.tar.bz2
bzip2 -dc aspell-pt-0.50-2.tar.bz2 | tar xvf -
cd aspell-pt-0.50-2
./configure
make
sudo make install
```

 Caveats: <br>
  <b><u> The differences between the `aspell` and `myspell` dictionaries can cause </b>
    <b> <u>some of the tests to fail </b>


Finally, in order to make use of language features, you'll need to download
some NLTK data.  The following command will get the necessary corpora.

``python -m nltk.downloader omw sentiwordnet stopwords wordnet``

You'll also need to install [enchant](https://en.wikipedia.org/wiki/Enchant_(software))-compatible
dictionaries of the languages you'd like to use.  We recommend the following:

* languages.arabic: aspell-ar
* languages.basque: hunspell-eu
* languages.bengali: aspell-bn
* languages.bosnian: hunspell-bs
* languages.catalan: myspell-ca
* languages.czech: myspell-cs
* languages.croatian: myspell-hr
* languages.dutch: myspell-nl
* languages.english: myspell-en-us myspell-en-gb myspell-en-au
* languages.estonian: myspell-et
* languages.finnish: voikko-fi
* languages.french: myspell-fr
* languages.galician: hunspell-gl
* languages.german: myspell-de-at myspell-de-ch myspell-de-de
* languages.greek: aspell-el
* languages.hebrew: myspell-he
* languages.hindi: aspell-hi
* languages.hungarian: myspell-hu
* languages.icelandic: aspell-is
* languages.indonesian: aspell-id
* languages.italian: myspell-it
* languages.latvian: myspell-lv
* languages.norwegian: myspell-nb
* languages.persian: myspell-fa
* languages.polish: aspell-pl
* languages.portuguese: myspell-pt-pt myspell-pt-br
* languages.serbian: hunspell-sr
* languages.spanish: myspell-es
* languages.swedish: aspell-sv
* languages.tamil: aspell-ta
* languages.russian: myspell-ru
* languages.ukrainian: aspell-uk
* languages.vietnamese: hunspell-vi

# Development
To contribute, ensure to install the dependencies:
```bash
$ pip install -r requirements.txt
```

Install necessary NLTK data:

``python -m nltk.downloader omw sentiwordnet stopwords wordnet``

## Running tests
Make sure you install test dependencies:

```bash
$ pip install -r test-requirements.txt
```

Then run:

```bash
$ pytest . -vv
```
# Reporting bugs
To report a bug, please use [Phabricator](https://phabricator.wikimedia.org/maniphest/task/edit/form/1/?projects=revscoring)

# Authors
  *   [Aaron Halfaker](http://halfaker.info)
  *   [Helder](https://github.com/he7d3r)
  *   [Adam Roses Wight](https://mediawiki.org/wiki/User:Adamw)
  *   [Amir Sarabadani](https://github.com/Ladsgroup)


%package help
Summary:	Development documents and examples for revscoring
Provides:	python3-revscoring-doc
%description help
[![Build Status](https://travis-ci.org/wikimedia/revscoring.svg?branch=master)](https://travis-ci.org/wikimedia/revscoring)
[![Test coverage](https://codecov.io/gh/wikimedia/revscoring/branch/master/graph/badge.svg)](https://codecov.io/gh/wikimedia/revscoring)
[![GitHub license](https://img.shields.io/github/license/wikimedia/revscoring.svg)](./LICENSE)
[![PyPI version](https://badge.fury.io/py/revscoring.svg)](https://badge.fury.io/py/revscoring)
# Revision Scoring

A generic, machine learning-based revision scoring system designed to help automate critical wiki-work — for example, vandalism detection and removal. This library powers [ORES](https://ores.wikimedia.org).

## Example


Using a scorer_model to score a revision::
```python
  import mwapi
  from revscoring import Model
  from revscoring.extractors.api.extractor import Extractor

  with open("models/enwiki.damaging.linear_svc.model") as f:
       scorer_model = Model.load(f)

  extractor = Extractor(mwapi.Session(host="https://en.wikipedia.org",
                                          user_agent="revscoring demo"))

  feature_values = list(extractor.extract(123456789, scorer_model.features))

  print(scorer_model.score(feature_values))
  {'prediction': True, 'probability': {False: 0.4694409344514984, True: 0.5305590655485017}}
  ```


# Installation

The easiest way to install is via the Python package installer
(pip).

``pip install revscoring``

You may find that some of the dependencies fail to compile (namely
`scipy`, `numpy` and `sklearn`).  In that case, you'll need to install some
dependencies in your operating system.

### Ubuntu & Debian:
  *  Run ``sudo apt-get install python3-dev g++ gfortran liblapack-dev libopenblas-dev enchant``
  *  Run ``sudo apt-get install aspell-ar aspell-bn aspell-el aspell-id aspell-is aspell-pl aspell-ro aspell-sv aspell-ta aspell-uk myspell-cs myspell-de-at myspell-de-ch myspell-de-de myspell-es myspell-et myspell-fa myspell-fr myspell-he myspell-hr myspell-hu myspell-lv myspell-nb myspell-nl myspell-pt-pt myspell-pt-br myspell-ru myspell-hr hunspell-bs hunspell-ca hunspell-en-au hunspell-en-us hunspell-en-gb hunspell-eu hunspell-gl hunspell-it hunspell-hi hunspell-sr hunspell-vi voikko-fi``
<!-- ### Windows:
<i>TODO</i>
-->
### MacOS:
  Using Homebrew and pip, installing `revscoring` and `enchant` can be accomplished
  as follows::

```bash
brew install aspell --with-all-languages
brew install enchant
pip install --no-binary pyenchant revscoring
```

#### Adding languages in aspell (MacOS only)

```bash
cd /tmp
wget http://ftp.gnu.org/gnu/aspell/dict/pt/aspell-pt-0.50-2.tar.bz2
bzip2 -dc aspell-pt-0.50-2.tar.bz2 | tar xvf -
cd aspell-pt-0.50-2
./configure
make
sudo make install
```

 Caveats: <br>
  <b><u> The differences between the `aspell` and `myspell` dictionaries can cause </b>
    <b> <u>some of the tests to fail </b>


Finally, in order to make use of language features, you'll need to download
some NLTK data.  The following command will get the necessary corpora.

``python -m nltk.downloader omw sentiwordnet stopwords wordnet``

You'll also need to install [enchant](https://en.wikipedia.org/wiki/Enchant_(software))-compatible
dictionaries of the languages you'd like to use.  We recommend the following:

* languages.arabic: aspell-ar
* languages.basque: hunspell-eu
* languages.bengali: aspell-bn
* languages.bosnian: hunspell-bs
* languages.catalan: myspell-ca
* languages.czech: myspell-cs
* languages.croatian: myspell-hr
* languages.dutch: myspell-nl
* languages.english: myspell-en-us myspell-en-gb myspell-en-au
* languages.estonian: myspell-et
* languages.finnish: voikko-fi
* languages.french: myspell-fr
* languages.galician: hunspell-gl
* languages.german: myspell-de-at myspell-de-ch myspell-de-de
* languages.greek: aspell-el
* languages.hebrew: myspell-he
* languages.hindi: aspell-hi
* languages.hungarian: myspell-hu
* languages.icelandic: aspell-is
* languages.indonesian: aspell-id
* languages.italian: myspell-it
* languages.latvian: myspell-lv
* languages.norwegian: myspell-nb
* languages.persian: myspell-fa
* languages.polish: aspell-pl
* languages.portuguese: myspell-pt-pt myspell-pt-br
* languages.serbian: hunspell-sr
* languages.spanish: myspell-es
* languages.swedish: aspell-sv
* languages.tamil: aspell-ta
* languages.russian: myspell-ru
* languages.ukrainian: aspell-uk
* languages.vietnamese: hunspell-vi

# Development
To contribute, ensure to install the dependencies:
```bash
$ pip install -r requirements.txt
```

Install necessary NLTK data:

``python -m nltk.downloader omw sentiwordnet stopwords wordnet``

## Running tests
Make sure you install test dependencies:

```bash
$ pip install -r test-requirements.txt
```

Then run:

```bash
$ pytest . -vv
```
# Reporting bugs
To report a bug, please use [Phabricator](https://phabricator.wikimedia.org/maniphest/task/edit/form/1/?projects=revscoring)

# Authors
  *   [Aaron Halfaker](http://halfaker.info)
  *   [Helder](https://github.com/he7d3r)
  *   [Adam Roses Wight](https://mediawiki.org/wiki/User:Adamw)
  *   [Amir Sarabadani](https://github.com/Ladsgroup)


%prep
%autosetup -n revscoring-2.11.10

%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-revscoring -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 2.11.10-1
- Package Spec generated