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authorCoprDistGit <infra@openeuler.org>2023-05-18 06:25:31 +0000
committerCoprDistGit <infra@openeuler.org>2023-05-18 06:25:31 +0000
commiteb39a649a052f075e69b6c590c3d005de24760c9 (patch)
tree6b7e79ffdb6ef399024be97e0bf4ac586b9d47a0
parent4de044357390658a71222fcc68591b1c12a4fffb (diff)
automatic import of python-yupi
-rw-r--r--.gitignore1
-rw-r--r--python-yupi.spec241
-rw-r--r--sources1
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diff --git a/.gitignore b/.gitignore
index e69de29..346328a 100644
--- a/.gitignore
+++ b/.gitignore
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+/yupi-0.12.3.tar.gz
diff --git a/python-yupi.spec b/python-yupi.spec
new file mode 100644
index 0000000..c4044e4
--- /dev/null
+++ b/python-yupi.spec
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+%global _empty_manifest_terminate_build 0
+Name: python-yupi
+Version: 0.12.3
+Release: 1
+Summary: A package for tracking and analysing objects trajectories
+License: MIT
+URL: https://github.com/yupidevs/yupi
+Source0: https://mirrors.nju.edu.cn/pypi/web/packages/a8/3e/8883bc897e81c34d65ac7fad0573438a0e91f8e391162dfda8e68b6db1f4/yupi-0.12.3.tar.gz
+BuildArch: noarch
+
+Requires: python3-opencv-python
+Requires: python3-numpy
+Requires: python3-nudged
+Requires: python3-matplotlib
+
+%description
+<p align="center">
+<img src="logo.png" alt="Logo"><br>
+</p>
+
+<div align="center">
+<a href="https://www.python.org/downloads/release/python-370/"><img src="https://img.shields.io/badge/python-3.7-blue" alt="Python"></a>
+<a href="https://zenodo.org/badge/latestdoi/304602979"><img src="https://zenodo.org/badge/304602979.svg" alt="DOI"></a>
+<a href="https://pypi.org/project/yupi/"><img src="https://img.shields.io/pypi/v/yupi" alt="PyPI"></a>
+<a href="https://yupi.readthedocs.io/en/latest/"><img src="https://img.shields.io/readthedocs/yupi" alt="ReadTheDocs"></a>
+</div>
+
+Standing for *Yet Underused Path Instruments*, **yupi** is a set of tools designed
+for collecting, generating and processing trajectory data.
+
+## **Main features**
+
+- **Convert raw data to trajectories** ... *different input manners*
+- **I/O operations with trajectories** ... *json and csv serializers*
+- **Trajectory extraction from video inputs** ... *even with moving camera*
+- **Artificial trajectory generation** ... *several models implemented*
+- **Trajectory basic operations** ... *rotation, shift, scaling, ...*
+- **Trajectory transformations** ... *filters, resamplers, ...*
+- **Statistical analysis rom trajectories ensembles** ... *turning angles histogram, velocity autocorrelation function, power spectral density, and much more ...*
+- **Results visualization** ... *each statistical observable has a related plot function*
+- **Spacial projection of trajectories** ... *for 2D and 3D trajectories*
+
+## Installation
+
+Current recommended installation method is via PyPI:
+
+```cmd
+pip install yupi
+```
+
+## Compatibility
+
+- Python 3.7 or later
+- Ubuntu 18.04 or later
+- Windows 7 or later
+- macOS 10.12.6 (Sierra) or later.
+
+## Getting Started
+
+In the [official documentation](https://yupi.readthedocs.io/en/latest/) there
+are some resources to start using the library: Tutorials, Examples and a
+detailed description of the API.
+
+## Examples
+
+Code examples (with additional multimedia resources) can be found in
+[this repository](https://github.com/yupidevs/yupi_examples). Additionally, in
+the [Examples section](https://yupi.readthedocs.io/en/latest/examples/examples.html)
+of the documentation, you can find the same examples with additional comments
+and expected execution results in order to inspect the examples without actually
+executing them.
+
+
+%package -n python3-yupi
+Summary: A package for tracking and analysing objects trajectories
+Provides: python-yupi
+BuildRequires: python3-devel
+BuildRequires: python3-setuptools
+BuildRequires: python3-pip
+%description -n python3-yupi
+<p align="center">
+<img src="logo.png" alt="Logo"><br>
+</p>
+
+<div align="center">
+<a href="https://www.python.org/downloads/release/python-370/"><img src="https://img.shields.io/badge/python-3.7-blue" alt="Python"></a>
+<a href="https://zenodo.org/badge/latestdoi/304602979"><img src="https://zenodo.org/badge/304602979.svg" alt="DOI"></a>
+<a href="https://pypi.org/project/yupi/"><img src="https://img.shields.io/pypi/v/yupi" alt="PyPI"></a>
+<a href="https://yupi.readthedocs.io/en/latest/"><img src="https://img.shields.io/readthedocs/yupi" alt="ReadTheDocs"></a>
+</div>
+
+Standing for *Yet Underused Path Instruments*, **yupi** is a set of tools designed
+for collecting, generating and processing trajectory data.
+
+## **Main features**
+
+- **Convert raw data to trajectories** ... *different input manners*
+- **I/O operations with trajectories** ... *json and csv serializers*
+- **Trajectory extraction from video inputs** ... *even with moving camera*
+- **Artificial trajectory generation** ... *several models implemented*
+- **Trajectory basic operations** ... *rotation, shift, scaling, ...*
+- **Trajectory transformations** ... *filters, resamplers, ...*
+- **Statistical analysis rom trajectories ensembles** ... *turning angles histogram, velocity autocorrelation function, power spectral density, and much more ...*
+- **Results visualization** ... *each statistical observable has a related plot function*
+- **Spacial projection of trajectories** ... *for 2D and 3D trajectories*
+
+## Installation
+
+Current recommended installation method is via PyPI:
+
+```cmd
+pip install yupi
+```
+
+## Compatibility
+
+- Python 3.7 or later
+- Ubuntu 18.04 or later
+- Windows 7 or later
+- macOS 10.12.6 (Sierra) or later.
+
+## Getting Started
+
+In the [official documentation](https://yupi.readthedocs.io/en/latest/) there
+are some resources to start using the library: Tutorials, Examples and a
+detailed description of the API.
+
+## Examples
+
+Code examples (with additional multimedia resources) can be found in
+[this repository](https://github.com/yupidevs/yupi_examples). Additionally, in
+the [Examples section](https://yupi.readthedocs.io/en/latest/examples/examples.html)
+of the documentation, you can find the same examples with additional comments
+and expected execution results in order to inspect the examples without actually
+executing them.
+
+
+%package help
+Summary: Development documents and examples for yupi
+Provides: python3-yupi-doc
+%description help
+<p align="center">
+<img src="logo.png" alt="Logo"><br>
+</p>
+
+<div align="center">
+<a href="https://www.python.org/downloads/release/python-370/"><img src="https://img.shields.io/badge/python-3.7-blue" alt="Python"></a>
+<a href="https://zenodo.org/badge/latestdoi/304602979"><img src="https://zenodo.org/badge/304602979.svg" alt="DOI"></a>
+<a href="https://pypi.org/project/yupi/"><img src="https://img.shields.io/pypi/v/yupi" alt="PyPI"></a>
+<a href="https://yupi.readthedocs.io/en/latest/"><img src="https://img.shields.io/readthedocs/yupi" alt="ReadTheDocs"></a>
+</div>
+
+Standing for *Yet Underused Path Instruments*, **yupi** is a set of tools designed
+for collecting, generating and processing trajectory data.
+
+## **Main features**
+
+- **Convert raw data to trajectories** ... *different input manners*
+- **I/O operations with trajectories** ... *json and csv serializers*
+- **Trajectory extraction from video inputs** ... *even with moving camera*
+- **Artificial trajectory generation** ... *several models implemented*
+- **Trajectory basic operations** ... *rotation, shift, scaling, ...*
+- **Trajectory transformations** ... *filters, resamplers, ...*
+- **Statistical analysis rom trajectories ensembles** ... *turning angles histogram, velocity autocorrelation function, power spectral density, and much more ...*
+- **Results visualization** ... *each statistical observable has a related plot function*
+- **Spacial projection of trajectories** ... *for 2D and 3D trajectories*
+
+## Installation
+
+Current recommended installation method is via PyPI:
+
+```cmd
+pip install yupi
+```
+
+## Compatibility
+
+- Python 3.7 or later
+- Ubuntu 18.04 or later
+- Windows 7 or later
+- macOS 10.12.6 (Sierra) or later.
+
+## Getting Started
+
+In the [official documentation](https://yupi.readthedocs.io/en/latest/) there
+are some resources to start using the library: Tutorials, Examples and a
+detailed description of the API.
+
+## Examples
+
+Code examples (with additional multimedia resources) can be found in
+[this repository](https://github.com/yupidevs/yupi_examples). Additionally, in
+the [Examples section](https://yupi.readthedocs.io/en/latest/examples/examples.html)
+of the documentation, you can find the same examples with additional comments
+and expected execution results in order to inspect the examples without actually
+executing them.
+
+
+%prep
+%autosetup -n yupi-0.12.3
+
+%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-yupi -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 0.12.3-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..1120f8d
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+6ec3848940968bbf65d14c179b5529e5 yupi-0.12.3.tar.gz