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|
%global _empty_manifest_terminate_build 0
Name: python-Anuvaad-Tokenizer
Version: 0.0.3
Release: 1
Summary: Tokenizer by Anuvaad
License: MIT
URL: https://pypi.org/project/Anuvaad-Tokenizer/
Source0: https://mirrors.aliyun.com/pypi/web/packages/af/03/daee4d302126faaa71f0dc0c058166441d4ddf3472db35bbd6757ff92c55/Anuvaad_Tokenizer-0.0.3.tar.gz
BuildArch: noarch
Requires: python3-nltk
%description
# Anuvaad Tokenizer
Anuvaad Tokenizer is a python package, which can be used to tokenize paragraphs into sentences. It supports most of the Indian languages including English. This Tokenizer is built using regular expressions.
## Prerequisites
- python >= 3.6
## Installation
``` pip install Anuvaad_Tokenizer==0.0.3 ```
## Author
Anuvaad (nlp-nmt@tarento.com)
# Usage Example
## For English
```
from Anuvaad_Tokenizer.AnuvaadEnTokenizer import AnuvaadEnTokenizer
para=" "
tokenized_text = AnuvaadEnTokenizer().tokenize(para)
```
## For Hindi
```
from Anuvaad_Tokenizer.AnuvaadHiTokenizer import AnuvaadHiTokenizer
para=" "
tokenized_text = AnuvaadHiTokenizer().tokenize(para)
```
## For Kannada
```
from Anuvaad_Tokenizer.AnuvaadKnTokenizer import AnuvaadKnTokenizer
para=" "
tokenized_text = AnuvaadKnTokenizer().tokenize(para)
```
## For Telugu
```
from Anuvaad_Tokenizer.AnuvaadTeTokenizer import AnuvaadTeTokenizer
para=" "
tokenized_text = AnuvaadTeTokenizer().tokenize(para)
```
## For Tamil
```
from Anuvaad_Tokenizer.AnuvaadTaTokenizer import AnuvaadTaTokenizer
para=" "
tokenized_text = AnuvaadTaTokenizer().tokenize(para)
```
## LICENSE
MIT License 2021
Developer - Anuvaad
%package -n python3-Anuvaad-Tokenizer
Summary: Tokenizer by Anuvaad
Provides: python-Anuvaad-Tokenizer
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-Anuvaad-Tokenizer
# Anuvaad Tokenizer
Anuvaad Tokenizer is a python package, which can be used to tokenize paragraphs into sentences. It supports most of the Indian languages including English. This Tokenizer is built using regular expressions.
## Prerequisites
- python >= 3.6
## Installation
``` pip install Anuvaad_Tokenizer==0.0.3 ```
## Author
Anuvaad (nlp-nmt@tarento.com)
# Usage Example
## For English
```
from Anuvaad_Tokenizer.AnuvaadEnTokenizer import AnuvaadEnTokenizer
para=" "
tokenized_text = AnuvaadEnTokenizer().tokenize(para)
```
## For Hindi
```
from Anuvaad_Tokenizer.AnuvaadHiTokenizer import AnuvaadHiTokenizer
para=" "
tokenized_text = AnuvaadHiTokenizer().tokenize(para)
```
## For Kannada
```
from Anuvaad_Tokenizer.AnuvaadKnTokenizer import AnuvaadKnTokenizer
para=" "
tokenized_text = AnuvaadKnTokenizer().tokenize(para)
```
## For Telugu
```
from Anuvaad_Tokenizer.AnuvaadTeTokenizer import AnuvaadTeTokenizer
para=" "
tokenized_text = AnuvaadTeTokenizer().tokenize(para)
```
## For Tamil
```
from Anuvaad_Tokenizer.AnuvaadTaTokenizer import AnuvaadTaTokenizer
para=" "
tokenized_text = AnuvaadTaTokenizer().tokenize(para)
```
## LICENSE
MIT License 2021
Developer - Anuvaad
%package help
Summary: Development documents and examples for Anuvaad-Tokenizer
Provides: python3-Anuvaad-Tokenizer-doc
%description help
# Anuvaad Tokenizer
Anuvaad Tokenizer is a python package, which can be used to tokenize paragraphs into sentences. It supports most of the Indian languages including English. This Tokenizer is built using regular expressions.
## Prerequisites
- python >= 3.6
## Installation
``` pip install Anuvaad_Tokenizer==0.0.3 ```
## Author
Anuvaad (nlp-nmt@tarento.com)
# Usage Example
## For English
```
from Anuvaad_Tokenizer.AnuvaadEnTokenizer import AnuvaadEnTokenizer
para=" "
tokenized_text = AnuvaadEnTokenizer().tokenize(para)
```
## For Hindi
```
from Anuvaad_Tokenizer.AnuvaadHiTokenizer import AnuvaadHiTokenizer
para=" "
tokenized_text = AnuvaadHiTokenizer().tokenize(para)
```
## For Kannada
```
from Anuvaad_Tokenizer.AnuvaadKnTokenizer import AnuvaadKnTokenizer
para=" "
tokenized_text = AnuvaadKnTokenizer().tokenize(para)
```
## For Telugu
```
from Anuvaad_Tokenizer.AnuvaadTeTokenizer import AnuvaadTeTokenizer
para=" "
tokenized_text = AnuvaadTeTokenizer().tokenize(para)
```
## For Tamil
```
from Anuvaad_Tokenizer.AnuvaadTaTokenizer import AnuvaadTaTokenizer
para=" "
tokenized_text = AnuvaadTaTokenizer().tokenize(para)
```
## LICENSE
MIT License 2021
Developer - Anuvaad
%prep
%autosetup -n Anuvaad_Tokenizer-0.0.3
%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-Anuvaad-Tokenizer -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.3-1
- Package Spec generated
|
