automatic import of python-textgenrnnopeneuler20.03

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diff --git a/.gitignore b/.gitignore
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+/textgenrnn-2.0.0.tar.gz
diff --git a/python-textgenrnn.spec b/python-textgenrnn.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-textgenrnn
+Version:	2.0.0
+Release:	1
+Summary:	Easily train your own text-generating neural network of any size and complexity
+License:	MIT
+URL:		https://github.com/minimaxir/textgenrnn
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/27/60/419daf7e2d87bcafc6f0f65736ce76e5cc83cebbae758dd59b4c1fae99cd/textgenrnn-2.0.0.tar.gz
+BuildArch:	noarch
+
+
+%description
+Easily train your own text-generating neural network of
+any size and complexity on any text dataset with a few lines
+of code, or quickly train on a text using a pretrained model.
+
+- A modern neural network architecture which utilizes new techniques as
+attention-weighting and skip-embedding to accelerate training
+and improve model quality.
+- Able to train on and generate text at either the
+character-level or word-level.
+- Able to configure RNN size, the number of RNN layers,
+and whether to use bidirectional RNNs.
+- Able to train on any generic input text file, including large files.
+- Able to train models on a GPU and then use them with a CPU.
+- Able to utilize a powerful CuDNN implementation of RNNs
+when trained on the GPU, which massively speeds up training time as
+opposed to normal LSTM implementations.
+- Able to train the model using contextual labels,
+allowing it to learn faster and produce better results in some cases.
+- Able to generate text interactively for customized stories.
+
+%package -n python3-textgenrnn
+Summary:	Easily train your own text-generating neural network of any size and complexity
+Provides:	python-textgenrnn
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-textgenrnn
+Easily train your own text-generating neural network of
+any size and complexity on any text dataset with a few lines
+of code, or quickly train on a text using a pretrained model.
+
+- A modern neural network architecture which utilizes new techniques as
+attention-weighting and skip-embedding to accelerate training
+and improve model quality.
+- Able to train on and generate text at either the
+character-level or word-level.
+- Able to configure RNN size, the number of RNN layers,
+and whether to use bidirectional RNNs.
+- Able to train on any generic input text file, including large files.
+- Able to train models on a GPU and then use them with a CPU.
+- Able to utilize a powerful CuDNN implementation of RNNs
+when trained on the GPU, which massively speeds up training time as
+opposed to normal LSTM implementations.
+- Able to train the model using contextual labels,
+allowing it to learn faster and produce better results in some cases.
+- Able to generate text interactively for customized stories.
+
+%package help
+Summary:	Development documents and examples for textgenrnn
+Provides:	python3-textgenrnn-doc
+%description help
+Easily train your own text-generating neural network of
+any size and complexity on any text dataset with a few lines
+of code, or quickly train on a text using a pretrained model.
+
+- A modern neural network architecture which utilizes new techniques as
+attention-weighting and skip-embedding to accelerate training
+and improve model quality.
+- Able to train on and generate text at either the
+character-level or word-level.
+- Able to configure RNN size, the number of RNN layers,
+and whether to use bidirectional RNNs.
+- Able to train on any generic input text file, including large files.
+- Able to train models on a GPU and then use them with a CPU.
+- Able to utilize a powerful CuDNN implementation of RNNs
+when trained on the GPU, which massively speeds up training time as
+opposed to normal LSTM implementations.
+- Able to train the model using contextual labels,
+allowing it to learn faster and produce better results in some cases.
+- Able to generate text interactively for customized stories.
+
+%prep
+%autosetup -n textgenrnn-2.0.0
+
+%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-textgenrnn -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 2.0.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..fd057de
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+dd02103d6a8c976c947163383aa97735  textgenrnn-2.0.0.tar.gz