%global _empty_manifest_terminate_build 0
Name: python-ruptures
Version: 1.1.7
Release: 1
Summary: Change point detection for signals in Python.
License: BSD-2-Clause
URL: https://github.com/deepcharles/ruptures/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/57/04/91ecd2bcc29b80f56015a47e3c704d8f10a2ed2880cb200b1446ebde84af/ruptures-1.1.7.tar.gz
Requires: python3-numpy
Requires: python3-scipy
Requires: python3-pre-commit
Requires: python3-matplotlib
Requires: python3-jupyter
Requires: python3-librosa
Requires: python3-matplotlib
Requires: python3-mkdocs
Requires: python3-mkdocs-macros-plugin
Requires: python3-mkdocs-material
Requires: python3-mkdocs-section-index
Requires: python3-mkdocstrings[python]
Requires: python3-mknotebooks
Requires: python3-pymdown-extensions
Requires: python3-nltk
Requires: python3-pytest
Requires: python3-pytest-cov
%description
# Welcome to ruptures
[](https://GitHub.com/deepcharles/ruptures/graphs/commit-activity)
[](https://badge.fury.io/py/ruptures)
[](https://anaconda.org/conda-forge/ruptures)
[](https://pepy.tech/project/ruptures)
[](https://mybinder.org/v2/gh/deepcharles/ruptures/master)
[](https://app.codecov.io/gh/deepcharles/ruptures/branch/master)
`ruptures` is a Python library for off-line change point detection.
This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms include exact and approximate detection for various parametric and non-parametric models.
`ruptures` focuses on ease of use by providing a well-documented and consistent interface.
In addition, thanks to its modular structure, different algorithms and models can be connected and extended within this package.
**How to cite.** If you use `ruptures` in a scientific publication, we would appreciate citations to the following paper:
- C. Truong, L. Oudre, N. Vayatis. Selective review of offline change point detection methods. _Signal Processing_, 167:107299, 2020. [[journal]](https://doi.org/10.1016/j.sigpro.2019.107299) [[pdf]](http://www.laurentoudre.fr/publis/TOG-SP-19.pdf)
## Basic usage
(Please refer to the [documentation](https://centre-borelli.github.io/ruptures-docs/ "Link to documentation") for more advanced use.)
The following snippet creates a noisy piecewise constant signal, performs a penalized kernel change point detection and displays the results (alternating colors mark true regimes and dashed lines mark estimated change points).
```python
import matplotlib.pyplot as plt
import ruptures as rpt
# generate signal
n_samples, dim, sigma = 1000, 3, 4
n_bkps = 4 # number of breakpoints
signal, bkps = rpt.pw_constant(n_samples, dim, n_bkps, noise_std=sigma)
# detection
algo = rpt.Pelt(model="rbf").fit(signal)
result = algo.predict(pen=10)
# display
rpt.display(signal, bkps, result)
plt.show()
```
## General information
#### Contact
Concerning this package, its use and bugs, use the [issue page](https://github.com/deepcharles/ruptures/issues) of the [ruptures repository](https://github.com/deepcharles/ruptures). For other inquiries, you can contact me [here](https://charles.doffy.net/contact/).
#### Important links
- Documentation: [link](https://centre-borelli.github.io/ruptures-docs/ "Link to documentation").
- Pypi package index: [link](https://pypi.python.org/pypi/ruptures)
#### Dependencies and install
Installation instructions can be found [here](https://centre-borelli.github.io/ruptures-docs/install/).
#### Changelog
See the [changelog](https://github.com/deepcharles/ruptures/blob/master/CHANGELOG.md) for a history of notable changes to `ruptures`.
## Thanks to all our contributors
## License
This project is under BSD license.
```
BSD 2-Clause License
Copyright (c) 2017-2021, ENS Paris-Saclay, CNRS
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
```
%package -n python3-ruptures
Summary: Change point detection for signals in Python.
Provides: python-ruptures
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
BuildRequires: python3-cffi
BuildRequires: gcc
BuildRequires: gdb
%description -n python3-ruptures
# Welcome to ruptures
[](https://GitHub.com/deepcharles/ruptures/graphs/commit-activity)
[](https://badge.fury.io/py/ruptures)
[](https://anaconda.org/conda-forge/ruptures)
[](https://pepy.tech/project/ruptures)
[](https://mybinder.org/v2/gh/deepcharles/ruptures/master)
[](https://app.codecov.io/gh/deepcharles/ruptures/branch/master)
`ruptures` is a Python library for off-line change point detection.
This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms include exact and approximate detection for various parametric and non-parametric models.
`ruptures` focuses on ease of use by providing a well-documented and consistent interface.
In addition, thanks to its modular structure, different algorithms and models can be connected and extended within this package.
**How to cite.** If you use `ruptures` in a scientific publication, we would appreciate citations to the following paper:
- C. Truong, L. Oudre, N. Vayatis. Selective review of offline change point detection methods. _Signal Processing_, 167:107299, 2020. [[journal]](https://doi.org/10.1016/j.sigpro.2019.107299) [[pdf]](http://www.laurentoudre.fr/publis/TOG-SP-19.pdf)
## Basic usage
(Please refer to the [documentation](https://centre-borelli.github.io/ruptures-docs/ "Link to documentation") for more advanced use.)
The following snippet creates a noisy piecewise constant signal, performs a penalized kernel change point detection and displays the results (alternating colors mark true regimes and dashed lines mark estimated change points).
```python
import matplotlib.pyplot as plt
import ruptures as rpt
# generate signal
n_samples, dim, sigma = 1000, 3, 4
n_bkps = 4 # number of breakpoints
signal, bkps = rpt.pw_constant(n_samples, dim, n_bkps, noise_std=sigma)
# detection
algo = rpt.Pelt(model="rbf").fit(signal)
result = algo.predict(pen=10)
# display
rpt.display(signal, bkps, result)
plt.show()
```
## General information
#### Contact
Concerning this package, its use and bugs, use the [issue page](https://github.com/deepcharles/ruptures/issues) of the [ruptures repository](https://github.com/deepcharles/ruptures). For other inquiries, you can contact me [here](https://charles.doffy.net/contact/).
#### Important links
- Documentation: [link](https://centre-borelli.github.io/ruptures-docs/ "Link to documentation").
- Pypi package index: [link](https://pypi.python.org/pypi/ruptures)
#### Dependencies and install
Installation instructions can be found [here](https://centre-borelli.github.io/ruptures-docs/install/).
#### Changelog
See the [changelog](https://github.com/deepcharles/ruptures/blob/master/CHANGELOG.md) for a history of notable changes to `ruptures`.
## Thanks to all our contributors
## License
This project is under BSD license.
```
BSD 2-Clause License
Copyright (c) 2017-2021, ENS Paris-Saclay, CNRS
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
```
%package help
Summary: Development documents and examples for ruptures
Provides: python3-ruptures-doc
%description help
# Welcome to ruptures
[](https://GitHub.com/deepcharles/ruptures/graphs/commit-activity)
[](https://badge.fury.io/py/ruptures)
[](https://anaconda.org/conda-forge/ruptures)
[](https://pepy.tech/project/ruptures)
[](https://mybinder.org/v2/gh/deepcharles/ruptures/master)
[](https://app.codecov.io/gh/deepcharles/ruptures/branch/master)
`ruptures` is a Python library for off-line change point detection.
This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms include exact and approximate detection for various parametric and non-parametric models.
`ruptures` focuses on ease of use by providing a well-documented and consistent interface.
In addition, thanks to its modular structure, different algorithms and models can be connected and extended within this package.
**How to cite.** If you use `ruptures` in a scientific publication, we would appreciate citations to the following paper:
- C. Truong, L. Oudre, N. Vayatis. Selective review of offline change point detection methods. _Signal Processing_, 167:107299, 2020. [[journal]](https://doi.org/10.1016/j.sigpro.2019.107299) [[pdf]](http://www.laurentoudre.fr/publis/TOG-SP-19.pdf)
## Basic usage
(Please refer to the [documentation](https://centre-borelli.github.io/ruptures-docs/ "Link to documentation") for more advanced use.)
The following snippet creates a noisy piecewise constant signal, performs a penalized kernel change point detection and displays the results (alternating colors mark true regimes and dashed lines mark estimated change points).
```python
import matplotlib.pyplot as plt
import ruptures as rpt
# generate signal
n_samples, dim, sigma = 1000, 3, 4
n_bkps = 4 # number of breakpoints
signal, bkps = rpt.pw_constant(n_samples, dim, n_bkps, noise_std=sigma)
# detection
algo = rpt.Pelt(model="rbf").fit(signal)
result = algo.predict(pen=10)
# display
rpt.display(signal, bkps, result)
plt.show()
```
## General information
#### Contact
Concerning this package, its use and bugs, use the [issue page](https://github.com/deepcharles/ruptures/issues) of the [ruptures repository](https://github.com/deepcharles/ruptures). For other inquiries, you can contact me [here](https://charles.doffy.net/contact/).
#### Important links
- Documentation: [link](https://centre-borelli.github.io/ruptures-docs/ "Link to documentation").
- Pypi package index: [link](https://pypi.python.org/pypi/ruptures)
#### Dependencies and install
Installation instructions can be found [here](https://centre-borelli.github.io/ruptures-docs/install/).
#### Changelog
See the [changelog](https://github.com/deepcharles/ruptures/blob/master/CHANGELOG.md) for a history of notable changes to `ruptures`.
## Thanks to all our contributors
## License
This project is under BSD license.
```
BSD 2-Clause License
Copyright (c) 2017-2021, ENS Paris-Saclay, CNRS
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
```
%prep
%autosetup -n ruptures-1.1.7
%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-ruptures -f filelist.lst
%dir %{python3_sitearch}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Apr 21 2023 Python_Bot - 1.1.7-1
- Package Spec generated