automatic import of python-keras-embed-sim

3 files changed, 164 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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+/keras-embed-sim-0.10.0.tar.gz
diff --git a/python-keras-embed-sim.spec b/python-keras-embed-sim.spec
new file mode 100644
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+%global _empty_manifest_terminate_build 0
+Name:		python-keras-embed-sim
+Version:	0.10.0
+Release:	1
+Summary:	Calculate similarity with embedding
+License:	MIT
+URL:		https://github.com/CyberZHG/keras-embed-sim
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/d9/ac/641978394aaa28d90a81ae3e999ed8206c4c3223b7a668a5aa9ed6034db0/keras-embed-sim-0.10.0.tar.gz
+BuildArch:	noarch
+
+
+%description
+# Keras Embedding Similarity
+
+[![Version](https://img.shields.io/pypi/v/keras-embed-sim.svg)](https://pypi.org/project/keras-embed-sim/)
+![License](https://img.shields.io/pypi/l/keras-embed-sim.svg)
+
+\[[中文](https://github.com/CyberZHG/keras-embed-sim/blob/master/README.zh-CN.md)|[English](https://github.com/CyberZHG/keras-embed-sim/blob/master/README.md)\]
+
+Compute the similarity between the outputs and the embeddings.
+
+## Install
+
+```bash
+pip install keras-embed-sim
+```
+
+## Usage
+
+```python
+from tensorflow import keras
+from keras_embed_sim import EmbeddingRet, EmbeddingSim
+
+input_layer = keras.layers.Input(shape=(None,), name='Input')
+
+embed, embed_weights = EmbeddingRet(
+    input_dim=20,
+    output_dim=100,
+    mask_zero=True,
+)(input_layer)
+
+output_layer = EmbeddingSim()([embed, embed_weights])
+```
+
+%package -n python3-keras-embed-sim
+Summary:	Calculate similarity with embedding
+Provides:	python-keras-embed-sim
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-keras-embed-sim
+# Keras Embedding Similarity
+
+[![Version](https://img.shields.io/pypi/v/keras-embed-sim.svg)](https://pypi.org/project/keras-embed-sim/)
+![License](https://img.shields.io/pypi/l/keras-embed-sim.svg)
+
+\[[中文](https://github.com/CyberZHG/keras-embed-sim/blob/master/README.zh-CN.md)|[English](https://github.com/CyberZHG/keras-embed-sim/blob/master/README.md)\]
+
+Compute the similarity between the outputs and the embeddings.
+
+## Install
+
+```bash
+pip install keras-embed-sim
+```
+
+## Usage
+
+```python
+from tensorflow import keras
+from keras_embed_sim import EmbeddingRet, EmbeddingSim
+
+input_layer = keras.layers.Input(shape=(None,), name='Input')
+
+embed, embed_weights = EmbeddingRet(
+    input_dim=20,
+    output_dim=100,
+    mask_zero=True,
+)(input_layer)
+
+output_layer = EmbeddingSim()([embed, embed_weights])
+```
+
+%package help
+Summary:	Development documents and examples for keras-embed-sim
+Provides:	python3-keras-embed-sim-doc
+%description help
+# Keras Embedding Similarity
+
+[![Version](https://img.shields.io/pypi/v/keras-embed-sim.svg)](https://pypi.org/project/keras-embed-sim/)
+![License](https://img.shields.io/pypi/l/keras-embed-sim.svg)
+
+\[[中文](https://github.com/CyberZHG/keras-embed-sim/blob/master/README.zh-CN.md)|[English](https://github.com/CyberZHG/keras-embed-sim/blob/master/README.md)\]
+
+Compute the similarity between the outputs and the embeddings.
+
+## Install
+
+```bash
+pip install keras-embed-sim
+```
+
+## Usage
+
+```python
+from tensorflow import keras
+from keras_embed_sim import EmbeddingRet, EmbeddingSim
+
+input_layer = keras.layers.Input(shape=(None,), name='Input')
+
+embed, embed_weights = EmbeddingRet(
+    input_dim=20,
+    output_dim=100,
+    mask_zero=True,
+)(input_layer)
+
+output_layer = EmbeddingSim()([embed, embed_weights])
+```
+
+%prep
+%autosetup -n keras-embed-sim-0.10.0
+
+%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-keras-embed-sim -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.10.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..18d3392
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+6a42b6ece775f46f595889209dbf0bf8  keras-embed-sim-0.10.0.tar.gz