automatic import of python-spectralclusteropeneuler20.03

3 files changed, 38 insertions, 13 deletions

diff --git a/.gitignore b/.gitignore
index 615cf68..061a40c 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1 +1,2 @@
 /spectralcluster-0.2.16.tar.gz
+/spectralcluster-0.2.18.tar.gz
diff --git a/python-spectralcluster.spec b/python-spectralcluster.spec
index dd1a665..44f03a2 100644
--- a/python-spectralcluster.spec
+++ b/python-spectralcluster.spec
@@ -1,11 +1,11 @@
 %global _empty_manifest_terminate_build 0
 Name:		python-spectralcluster
-Version:	0.2.16
+Version:	0.2.18
 Release:	1
 Summary:	Spectral Clustering
 License:	Apache Software License
 URL:		https://github.com/wq2012/SpectralCluster
-Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/11/cd/dc51c6b72277b3796764fbf9dea8cdb3daf3112f7b14b699e3dc75cb5640/spectralcluster-0.2.16.tar.gz
+Source0:	https://mirrors.aliyun.com/pypi/web/packages/22/62/65772203d69859c7a33cfc869360cd7931965306a26f187d2fd044afd882/spectralcluster-0.2.18.tar.gz
 BuildArch:	noarch
 
 
@@ -16,10 +16,11 @@ BuildArch:	noarch
 ## Overview
 
 This is a Python re-implementation of the spectral clustering and
-constrained spectral clustering algorithms in these two papers:
+constrained spectral clustering algorithms in these papers:
 
 * [Speaker Diarization with LSTM](https://google.github.io/speaker-id/publications/LstmDiarization/)
 * [Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection](https://arxiv.org/abs/2109.11641)
+* [Highly Efficient Real-Time Streaming and Fully On-Device Speaker Diarization with Multi-Stage Clustering](https://arxiv.org/abs/2210.13690)
 
 ![refinement](https://raw.githubusercontent.com/wq2012/SpectralCluster/master/resources/refinement.png)
 
@@ -264,6 +265,13 @@ Our papers are cited as:
   year={2022},
   organization={IEEE}
 }
+
+@article{wang2022highly,
+  title={Highly Efficient Real-Time Streaming and Fully On-Device Speaker Diarization with Multi-Stage Clustering},
+  author={Quan Wang and Yiling Huang and Han Lu and Guanlong Zhao and Ignacio Lopez Moreno},
+  journal={arXiv:2210.13690},
+  year={2022}
+}
 ```
 
 ## Misc
@@ -291,10 +299,11 @@ BuildRequires:	python3-pip
 ## Overview
 
 This is a Python re-implementation of the spectral clustering and
-constrained spectral clustering algorithms in these two papers:
+constrained spectral clustering algorithms in these papers:
 
 * [Speaker Diarization with LSTM](https://google.github.io/speaker-id/publications/LstmDiarization/)
 * [Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection](https://arxiv.org/abs/2109.11641)
+* [Highly Efficient Real-Time Streaming and Fully On-Device Speaker Diarization with Multi-Stage Clustering](https://arxiv.org/abs/2210.13690)
 
 ![refinement](https://raw.githubusercontent.com/wq2012/SpectralCluster/master/resources/refinement.png)
 
@@ -539,6 +548,13 @@ Our papers are cited as:
   year={2022},
   organization={IEEE}
 }
+
+@article{wang2022highly,
+  title={Highly Efficient Real-Time Streaming and Fully On-Device Speaker Diarization with Multi-Stage Clustering},
+  author={Quan Wang and Yiling Huang and Han Lu and Guanlong Zhao and Ignacio Lopez Moreno},
+  journal={arXiv:2210.13690},
+  year={2022}
+}
 ```
 
 ## Misc
@@ -563,10 +579,11 @@ Provides:	python3-spectralcluster-doc
 ## Overview
 
 This is a Python re-implementation of the spectral clustering and
-constrained spectral clustering algorithms in these two papers:
+constrained spectral clustering algorithms in these papers:
 
 * [Speaker Diarization with LSTM](https://google.github.io/speaker-id/publications/LstmDiarization/)
 * [Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection](https://arxiv.org/abs/2109.11641)
+* [Highly Efficient Real-Time Streaming and Fully On-Device Speaker Diarization with Multi-Stage Clustering](https://arxiv.org/abs/2210.13690)
 
 ![refinement](https://raw.githubusercontent.com/wq2012/SpectralCluster/master/resources/refinement.png)
 
@@ -811,6 +828,13 @@ Our papers are cited as:
   year={2022},
   organization={IEEE}
 }
+
+@article{wang2022highly,
+  title={Highly Efficient Real-Time Streaming and Fully On-Device Speaker Diarization with Multi-Stage Clustering},
+  author={Quan Wang and Yiling Huang and Han Lu and Guanlong Zhao and Ignacio Lopez Moreno},
+  journal={arXiv:2210.13690},
+  year={2022}
+}
 ```
 
 ## Misc
@@ -826,7 +850,7 @@ To learn more about speaker diarization, you can check out:
 
 
 %prep
-%autosetup -n spectralcluster-0.2.16
+%autosetup -n spectralcluster-0.2.18
 
 %build
 %py3_build
@@ -840,20 +864,20 @@ 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
+	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
+	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
+	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
+	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
+	find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
 fi
 popd
 mv %{buildroot}/filelist.lst .
@@ -866,5 +890,5 @@ mv %{buildroot}/doclist.lst .
 %{_docdir}/*
 
 %changelog
-* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.16-1
+* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.18-1
 - Package Spec generated
diff --git a/sources b/sources
index 6fb6fff..d7053e9 100644
--- a/sources
+++ b/sources
@@ -1 +1 @@
-be47131be82f6a7785e91486e9671ce5  spectralcluster-0.2.16.tar.gz
+157875aece5ce4fc24da6fd356dacccc  spectralcluster-0.2.18.tar.gz