%global _empty_manifest_terminate_build 0
Name:		torchtext
Version:	0.16.2
Release:	1
Summary:	Models, data loaders and abstractions for language processing, powered by PyTorch
License:	BSD-3-Clause
URL:		https://pytorch.org/text/
Source0:	https://github.com/pytorch/text/archive/refs/tags/v%{version}.zip

Source1:	double-conversion.zip
Source2:	re2.zip
Source3:	sentencepiece.zip
Source4:	utf8proc.zip

Patch0:		0001-manunally-add-submodule.patch
BuildRequires:  g++
Requires:	python3-numpy
Requires:	python3-pytorch
Requires:	python3-requests
Requires:	python3-tqdm

%description
This repository consists of: The raw text iterators for common NLP datasets. Some basic NLP building blocks
Basic text-processing transformations. Pre-trained models, Vocab and Vectors related classes and factory functions
Example NLP workflows with PyTorch and torchtext library.

%package -n python3-torchtext
Summary:	Models, data loaders and abstractions for language processing, powered by PyTorch
Provides:	python-torchtext
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-setuptools_scm
BuildRequires:	python3-pbr
BuildRequires:	python3-pip
BuildRequires:	python3-wheel
BuildRequires:	python3-hatchling

BuildRequires:	python3-sympy
BuildRequires:	python3-pytorch >= 2.1.2
BuildRequires:	ninja-build
BuildRequires:	numactl
BuildRequires:	cmake

%description -n python3-torchtext
This repository consists of: The raw text iterators for common NLP datasets. Some basic NLP building blocks
Basic text-processing transformations. Pre-trained models, Vocab and Vectors related classes and factory functions
Example NLP workflows with PyTorch and torchtext library.

%package help
Summary:	Development documents and examples for torchtext
Provides:	python3-torchtext-doc
%description help
This repository consists of: The raw text iterators for common NLP datasets. Some basic NLP building blocks
Basic text-processing transformations. Pre-trained models, Vocab and Vectors related classes and factory functions
Example NLP workflows with PyTorch and torchtext library.


%prep
unzip -q %{SOURCE1}
unzip -q %{SOURCE2}
unzip -q %{SOURCE3}
unzip -q %{SOURCE4}
%autosetup -p1 -n text-%{version}
mv ../double-conversion ./third_party/
mv ../re2 ./third_party/
mv ../sentencepiece ./third_party/
mv ../utf8proc ./third_party/

%build
%pyproject_build
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
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}/doclist.lst .

%install
%pyproject_install

%files -n python3-torchtext
%doc *.md
%license LICENSE
%{python3_sitearch}/*

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

%changelog
* Sun Jan 28 2024 Binshuo Zu <274620705z@gmail.com> - 0.16.2-1
- Package init