This release is a pre-release and may not be stable for production use.
Davout
Repository to store my workhorses and research-themed park. Github link to the repository and source files: https://github.com/Matheus-Janczkowski/Davout
-
Link to the booklet on installation of a miscelaneous of software: https://www.overleaf.com/read/wbxhncmtnmkm#0eb73b
-
Link to the book on python programming: https://github.com/Matheus-Janczkowski/CompMechSelfStudy/blob/main/introduction_to_python_programming.pdf
-
Link to the booklet on writing using LaTeX: https://www.overleaf.com/read/sdrvfrpdjhft#66d6f9
-
Link to the book on continuum mechanics: https://github.com/Matheus-Janczkowski/CompMechSelfStudy/blob/main/introduction_to_continuum_mechanics.pdf
-
Link for the presentation template: https://www.overleaf.com/read/sbgxdphxswmm#6d7d64
Citation
https://doi.org/10.5281/zenodo.18806245
All versions: DOI 10.5281/zenodo.18806244
What does Davout do?
Workhorse for a research project that encompasses finite element analysis, machine learning, and multiscale analysis. Additionally, a set of tools is provided.
This package contains extensive implementation of hyperelastic problems in finite strains using FEniCS and GMSH for mesh generation. A consistent and general purpose implementation of ANN models using tensorflow is also available.
This suite performs and the corresponding module:
- Geometry and mesh generation ---------------------------------------------------------> CuboidGmsh
- Finite element analysis ----------------------------------------------------------------------> MultiMech
- ANN models definition and training ----------------------------------------------------> DeepMech
- Post-processing automation using ParaView ---------------------------------------> GraphUtilities
- Generation of figures, collages, and slides using own graphical tools ----> GraphUtilities
- LaTeX writing and formating using an ensemble of commands -------------> LaTeXUtilities
Philosophy and aims
Davout aims to be a unified software to accompany researchers in computational mechanics. Davout is inspired by a profound love for python and open software.
Davout stands on the shoulders of other massively mighty python packages, such as FEniCS, TensorFlow, GMSH, ParaView, and matplotlib.
Installation using pip
pip install Davout
Installation using installer file
Download the zip file, unzip it and move it to a suitable directory. Open the Davout folder, where setup.py is located. Open this path in terminal (using a virtual environment) and run the following command
python davout_installer.py
Installation using command
Download the repository, unzip the file, put it in a suitable place for you. Activate a python virtual environment (follow instruction in the booklet 1. to create a virtual environment if you don't have one), go into the directory where the files are located through the virtual environment terminal. Then, type in terminal (instead of python you might need to explicitely type in the version, like python3):
python setup.py bdist_wheel sdist
pip install .
To test the installation:
python
import Davout
1 maintainer
Metadata
1 maintainer
Release files for Davout 0.1.1.dev161
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| davout-0.1.1.dev161.tar.gz | 889.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| davout-0.1.1.dev161-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.9 MB
Release files / davout-0.1.1.dev161.tar.gz
| Download URL | davout-0.1.1.dev161.tar.gz |
|---|---|
| Size | 889.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c6c06854c6ae7380fd445fc3919b7bd6bb407f9cf881b02e3ddebe21071311f8
|
|
BLAKE2b-256 checksum How to use checksums |
03c05da4b75319674d6019a16970fe81179dafbfd8543d61a5a4d2539650384f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
Release files / davout-0.1.1.dev161-py3-none-any.whl
| Download URL | davout-0.1.1.dev161-py3-none-any.whl |
|---|---|
| Size | 1.1 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a622e4af14032d536df50ae09360580a7093c76f12b3505bc0159478b741e48d
|
|
BLAKE2b-256 checksum How to use checksums |
3c770007a42d7aa08447fdbb3376b54a160e35dcf78340e12554247c6586e586
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.3
|
Security for Davout 0.1.1.dev161
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
