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|
%global _empty_manifest_terminate_build 0
Name: python-reliability
Version: 0.8.9
Release: 1
Summary: Reliability Engineering toolkit for Python
License: LGPLv3
URL: https://reliability.readthedocs.io/en/latest/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/3a/43/ffdf1e9baf80baaf58e0e91509d5096dc98aeabc6d7ed3fe4fcd167ea88b/reliability-0.8.9.tar.gz
BuildArch: noarch
Requires: python3-autograd
Requires: python3-scipy
Requires: python3-numpy
Requires: python3-matplotlib
Requires: python3-pandas
Requires: python3-autograd-gamma
Requires: python3-mplcursors
Requires: python3-docutils
%description
[](https://pypi.org/project/reliability/)
[](http://reliability.readthedocs.io/?badge=latest)
[](https://github.com/MatthewReid854/reliability/actions)
[](https://github.com/MatthewReid854/reliability/actions)
[](https://github.com/MatthewReid854/reliability/)
[](https://pepy.tech/project/reliability)
[](https://www.gnu.org/licenses/lgpl-3.0.txt)
[](https://doi.org/10.5281/zenodo.3937999)
[](https://reliability.readthedocs.io/en/latest/How%20to%20donate%20to%20the%20project.html)
[](https://form.jotform.com/203156856636058)
*reliability* is a Python library for [reliability engineering](https://en.wikipedia.org/wiki/Reliability_engineering) and [survival analysis](https://en.wikipedia.org/wiki/Survival_analysis). It significantly extends the functionality of scipy.stats and also includes many specialist tools that are otherwise only available in proprietary software.
## Documentation
Detailed documentation and examples are available at [readthedocs](https://reliability.readthedocs.io/en/latest/).
## Key features
- Fitting probability distributions to data including right censored data
- Fitting Weibull mixture models and Weibull Competing risks models
- Fitting Weibull Defective Subpopulation (DS) models, Weibull Zero Inflated (ZI) models, and Weibull Defective Subpopulation Zero Inflated (DSZI) models
- Calculating the probability of failure for stress-strength interference between any combination of the supported distributions
- Support for Exponential, Weibull, Gamma, Gumbel, Normal, Lognormal, Loglogistic, and Beta probability distributions
- Mean residual life, quantiles, descriptive statistics summaries, random sampling from distributions
- Plots of probability density function (PDF), cumulative distribution function (CDF), survival function (SF), hazard function (HF), and cumulative hazard function (CHF)
- Easy creation of distribution objects. Eg. dist = Weibull_Distribution(alpha=4,beta=2)
- Non-parametric estimation of survival function using Kaplan-Meier, Nelson-Aalen, and Rank Adjustment
- Goodness of fit tests (AICc, BIC, AD, Log-likelihood)
- Probability plots on probability paper for all supported distributions
- Quantile-Quantile plots and Probability-Probability plots
- Reliability growth, optimal replacement time, sequential sampling charts, similar distributions, reliability test planners
- Interactive matplotlib functions including crosshairs and distribution explorer
- Physics of Failure (SN diagram, stress-strain, fracture mechanics, creep)
- Accelerated Life Testing Models (24) comprising of 4 distributions (Weibull, Exponential, Normal, Lognormal) and 6 life-stress models (Exponential, Eyring, Power, Dual-Exponential, Dual-Power, Power-Exponential).
- Mean cumulative function and ROCOF for repairable systems
## Installation and upgrading
To install *reliability* for the first time, open your command prompt and type:
```
pip install reliability
```
To upgrade a previous installation of *reliability* to the most recent version, open your command prompt and type:
```
pip install --upgrade reliability
```
If you would like to receive an email notification when a new release of *reliability* is uploaded to PyPI, [NewReleases.io](https://newreleases.io/) provides this service for free.
## Contact
If you find any errors, have any suggestions, or would like to request that something be added, please email alpha.reliability@gmail.com.
%package -n python3-reliability
Summary: Reliability Engineering toolkit for Python
Provides: python-reliability
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-reliability
[](https://pypi.org/project/reliability/)
[](http://reliability.readthedocs.io/?badge=latest)
[](https://github.com/MatthewReid854/reliability/actions)
[](https://github.com/MatthewReid854/reliability/actions)
[](https://github.com/MatthewReid854/reliability/)
[](https://pepy.tech/project/reliability)
[](https://www.gnu.org/licenses/lgpl-3.0.txt)
[](https://doi.org/10.5281/zenodo.3937999)
[](https://reliability.readthedocs.io/en/latest/How%20to%20donate%20to%20the%20project.html)
[](https://form.jotform.com/203156856636058)
*reliability* is a Python library for [reliability engineering](https://en.wikipedia.org/wiki/Reliability_engineering) and [survival analysis](https://en.wikipedia.org/wiki/Survival_analysis). It significantly extends the functionality of scipy.stats and also includes many specialist tools that are otherwise only available in proprietary software.
## Documentation
Detailed documentation and examples are available at [readthedocs](https://reliability.readthedocs.io/en/latest/).
## Key features
- Fitting probability distributions to data including right censored data
- Fitting Weibull mixture models and Weibull Competing risks models
- Fitting Weibull Defective Subpopulation (DS) models, Weibull Zero Inflated (ZI) models, and Weibull Defective Subpopulation Zero Inflated (DSZI) models
- Calculating the probability of failure for stress-strength interference between any combination of the supported distributions
- Support for Exponential, Weibull, Gamma, Gumbel, Normal, Lognormal, Loglogistic, and Beta probability distributions
- Mean residual life, quantiles, descriptive statistics summaries, random sampling from distributions
- Plots of probability density function (PDF), cumulative distribution function (CDF), survival function (SF), hazard function (HF), and cumulative hazard function (CHF)
- Easy creation of distribution objects. Eg. dist = Weibull_Distribution(alpha=4,beta=2)
- Non-parametric estimation of survival function using Kaplan-Meier, Nelson-Aalen, and Rank Adjustment
- Goodness of fit tests (AICc, BIC, AD, Log-likelihood)
- Probability plots on probability paper for all supported distributions
- Quantile-Quantile plots and Probability-Probability plots
- Reliability growth, optimal replacement time, sequential sampling charts, similar distributions, reliability test planners
- Interactive matplotlib functions including crosshairs and distribution explorer
- Physics of Failure (SN diagram, stress-strain, fracture mechanics, creep)
- Accelerated Life Testing Models (24) comprising of 4 distributions (Weibull, Exponential, Normal, Lognormal) and 6 life-stress models (Exponential, Eyring, Power, Dual-Exponential, Dual-Power, Power-Exponential).
- Mean cumulative function and ROCOF for repairable systems
## Installation and upgrading
To install *reliability* for the first time, open your command prompt and type:
```
pip install reliability
```
To upgrade a previous installation of *reliability* to the most recent version, open your command prompt and type:
```
pip install --upgrade reliability
```
If you would like to receive an email notification when a new release of *reliability* is uploaded to PyPI, [NewReleases.io](https://newreleases.io/) provides this service for free.
## Contact
If you find any errors, have any suggestions, or would like to request that something be added, please email alpha.reliability@gmail.com.
%package help
Summary: Development documents and examples for reliability
Provides: python3-reliability-doc
%description help
[](https://pypi.org/project/reliability/)
[](http://reliability.readthedocs.io/?badge=latest)
[](https://github.com/MatthewReid854/reliability/actions)
[](https://github.com/MatthewReid854/reliability/actions)
[](https://github.com/MatthewReid854/reliability/)
[](https://pepy.tech/project/reliability)
[](https://www.gnu.org/licenses/lgpl-3.0.txt)
[](https://doi.org/10.5281/zenodo.3937999)
[](https://reliability.readthedocs.io/en/latest/How%20to%20donate%20to%20the%20project.html)
[](https://form.jotform.com/203156856636058)
*reliability* is a Python library for [reliability engineering](https://en.wikipedia.org/wiki/Reliability_engineering) and [survival analysis](https://en.wikipedia.org/wiki/Survival_analysis). It significantly extends the functionality of scipy.stats and also includes many specialist tools that are otherwise only available in proprietary software.
## Documentation
Detailed documentation and examples are available at [readthedocs](https://reliability.readthedocs.io/en/latest/).
## Key features
- Fitting probability distributions to data including right censored data
- Fitting Weibull mixture models and Weibull Competing risks models
- Fitting Weibull Defective Subpopulation (DS) models, Weibull Zero Inflated (ZI) models, and Weibull Defective Subpopulation Zero Inflated (DSZI) models
- Calculating the probability of failure for stress-strength interference between any combination of the supported distributions
- Support for Exponential, Weibull, Gamma, Gumbel, Normal, Lognormal, Loglogistic, and Beta probability distributions
- Mean residual life, quantiles, descriptive statistics summaries, random sampling from distributions
- Plots of probability density function (PDF), cumulative distribution function (CDF), survival function (SF), hazard function (HF), and cumulative hazard function (CHF)
- Easy creation of distribution objects. Eg. dist = Weibull_Distribution(alpha=4,beta=2)
- Non-parametric estimation of survival function using Kaplan-Meier, Nelson-Aalen, and Rank Adjustment
- Goodness of fit tests (AICc, BIC, AD, Log-likelihood)
- Probability plots on probability paper for all supported distributions
- Quantile-Quantile plots and Probability-Probability plots
- Reliability growth, optimal replacement time, sequential sampling charts, similar distributions, reliability test planners
- Interactive matplotlib functions including crosshairs and distribution explorer
- Physics of Failure (SN diagram, stress-strain, fracture mechanics, creep)
- Accelerated Life Testing Models (24) comprising of 4 distributions (Weibull, Exponential, Normal, Lognormal) and 6 life-stress models (Exponential, Eyring, Power, Dual-Exponential, Dual-Power, Power-Exponential).
- Mean cumulative function and ROCOF for repairable systems
## Installation and upgrading
To install *reliability* for the first time, open your command prompt and type:
```
pip install reliability
```
To upgrade a previous installation of *reliability* to the most recent version, open your command prompt and type:
```
pip install --upgrade reliability
```
If you would like to receive an email notification when a new release of *reliability* is uploaded to PyPI, [NewReleases.io](https://newreleases.io/) provides this service for free.
## Contact
If you find any errors, have any suggestions, or would like to request that something be added, please email alpha.reliability@gmail.com.
%prep
%autosetup -n reliability-0.8.9
%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-reliability -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8.9-1
- Package Spec generated
|
