diff options
| author | CoprDistGit <infra@openeuler.org> | 2023-04-23 14:52:07 +0000 |
|---|---|---|
| committer | CoprDistGit <infra@openeuler.org> | 2023-04-23 14:52:07 +0000 |
| commit | b1d1a55582ac6a160161fbe664172af47cf20013 (patch) | |
| tree | d6a0738eed6a74708e7d75d4cdcfe0107eebfe54 | |
| parent | 2716073047883de626b710125cf1d610e4720c2d (diff) | |
automatic import of python-reliabilityopeneuler20.03
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-reliability.spec | 356 | ||||
| -rw-r--r-- | sources | 2 |
3 files changed, 177 insertions, 182 deletions
@@ -1 +1,2 @@ /reliability-0.8.8.tar.gz +/reliability-0.8.9.tar.gz diff --git a/python-reliability.spec b/python-reliability.spec index 4e42c46..a062ef9 100644 --- a/python-reliability.spec +++ b/python-reliability.spec @@ -1,11 +1,11 @@ %global _empty_manifest_terminate_build 0 Name: python-reliability -Version: 0.8.8 +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/d2/79/221445e50d12bfd5d185c753c71357107d3323e99e9f0f22da8f1cda1e69/reliability-0.8.8.tar.gz +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/3a/43/ffdf1e9baf80baaf58e0e91509d5096dc98aeabc6d7ed3fe4fcd167ea88b/reliability-0.8.9.tar.gz BuildArch: noarch Requires: python3-autograd @@ -18,65 +18,63 @@ 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. - - +
+
+[](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 @@ -86,134 +84,130 @@ 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. - - +
+
+[](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. - - +
+
+[](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-0.8.8 +%autosetup -n reliability-0.8.9 %build %py3_build @@ -253,5 +247,5 @@ mv %{buildroot}/doclist.lst . %{_docdir}/* %changelog -* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8.8-1 +* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8.9-1 - Package Spec generated @@ -1 +1 @@ -5e633bdaa85ce8af029d9e0acd6ebef3 reliability-0.8.8.tar.gz +b60ccf6a33f5c2ae36fbdd66fdab9e38 reliability-0.8.9.tar.gz |