The Python package for a statistical mechanical model for crack growth.
Installation
The package can be installed using pip via the Python Package Index (PyPI),
pip install statmechcrack
or using conda via the mrbuche channel on Anaconda,
conda install --channel mrbuche statmechcrack
Alternatively, a branch can be directly installed using
pip install git+https://github.com/sandialabs/statmechcrack.git@<branch-name>
or after cloning a branch and executing python setup.py install. There are also Docker images available for use. In all of these cases, a valid installation can be tested by running
python -m statmechcrack.tests
Information
Citation
M. R. Buche and S. J. Grutzik, statMechCrack: the Python package for a statistical mechanical model for crack growth, Zenodo (2022).
Copyright
Copyright 2022 National Technology & Engineering Solutions of Sandia, LLC (NTESS). Under the terms of Contract DE-NA0003525 with NTESS, the U.S. Government retains certain rights in this software.
1 maintainer
Metadata
1 maintainer
Release files for statmechcrack 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| statmechcrack-0.1.0.tar.gz | 22.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| statmechcrack-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 50.8 kB
Release files / statmechcrack-0.1.0.tar.gz
| Download URL | statmechcrack-0.1.0.tar.gz |
|---|---|
| Size | 22.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/3.7.1 importlib_metadata/4.11.3 pkginfo/1.8.2 requests/2.28.1 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.10.4
|
Release files / statmechcrack-0.1.0-py3-none-any.whl
| Download URL | statmechcrack-0.1.0-py3-none-any.whl |
|---|---|
| Size | 28.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.7.1 importlib_metadata/4.11.3 pkginfo/1.8.2 requests/2.28.1 requests-toolbelt/0.9.1 tqdm/4.64.0 CPython/3.10.4
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