PAREpy
The PAREpy (Probabilistic Approach to Reliability Engineering) framework is a software developed by the research group headed by Professor Wanderlei M. Pereira Junior in the FENG-UFCAT. It is a framework for applying probabilistic concepts to analyze a system containing random variables. The platform is built in Python and can be used in any environment that supports this programming language.
See documentation.
Quick start
To use the framework in an Python environment, use the following command:
pip install parepy-toolbox
# or pip install --upgrade parepy-toolbox
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Metadata
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Release files for parepy-toolbox 3.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| parepy_toolbox-3.0.1.tar.gz | 21.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| parepy_toolbox-3.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 46.3 kB
Release files / parepy_toolbox-3.0.1.tar.gz
| Download URL | parepy_toolbox-3.0.1.tar.gz |
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| Size | 21.3 kB |
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Release files / parepy_toolbox-3.0.1-py3-none-any.whl
| Download URL | parepy_toolbox-3.0.1-py3-none-any.whl |
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| Size | 25.0 kB |
| Tags | Python 3 |
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