A tiny package to compute the dynamics of stochastic and molecular simulations.
- License:
BSD 3-clause
- Author:
Pierre de Buyl
- Website:
tidynamics
performs the computation of mean-square displacements and correlation functions.
accepts as input NumPy arrays storing the positions and velocities of particles.
implements the so-called Fast Correlation Algorithm proposed by Kneller and others for the nMOLDYN analysis program.
For a quick jump into tidynamics, have a look at the examples.
Goals and plans:
Minimal dependencies.
Serve as a reference implementation for common algorithms that are useful for molecular and stochastic simulations.
Provide later a bit more flexibility to handle cross correlations and many-body systems.
Installation
It is necessary to have Python and NumPy to install and use tidynamics.
tidynamics can be installed with pip:
pip install --user tidynamics
or with conda (via conda-forge):
conda install -c conda-forge tidynamics
It is also possible to download the source code and execute pip locally.
Tests are run with Python 3.7 to 3.11. Python 2 is not supported anymore. If you encounter any issue, let me know (see Contact below).
Citation
When using tidynamics in a publication, please cite the following paper:
Pierre de Buyl (2018), tidynamics: A tiny package to compute the dynamics of stochastic and molecular simulations, The Journal of Open Source Software https://doi.org/10.21105/joss.00877
Testing
We use pytest for testing:
python -m pytest
Installing tidynamics does not install the tests. It is necessary to download tidynamics’ source and to install pytest to run the tests.
Contact, support, and contribution information
To contact the author about tidynamics, you can either write an email to Pierre de Buyl or use the issue tracker of the GitHub project. Existing contributors are listed in the file CONTRIBUTORS.
Bug reports are welcome. If you consider proposing a feature, please keep in mind the goals and plans exposed above.
1 maintainer
Metadata
1 maintainer
Release files for tidynamics 1.1.2
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 | Actions |
|---|---|---|---|---|
| tidynamics-1.1.2.tar.gz | 59.3 kB | Without provenance | Details for tidynamics-1.1.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| tidynamics-1.1.2-py3-none-any.whl | Python 3 | none | any | Details for tidynamics-1.1.2-py3-none-any.whl |
Total release size: 65.8 kB
Release files / tidynamics-1.1.2.tar.gz
| Download URL | tidynamics-1.1.2.tar.gz |
|---|---|
| Size | 59.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
103874edd79dc64a0c7b765f51200926822e74df63703acb6c630a8167dbcfa2
|
|
BLAKE2b-256 checksum How to use checksums |
7ff4f513cf9bdf339a15fb8e353ee2001f4e55abbb84f021437e3f8577acd203
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.2
|
Release files / tidynamics-1.1.2-py3-none-any.whl
| Download URL | tidynamics-1.1.2-py3-none-any.whl |
|---|---|
| Size | 6.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3edd862271ef136e35129b303153e790914b66644b2641c92a72a7878a16a858
|
|
BLAKE2b-256 checksum How to use checksums |
df75ec8466118646fa6523d7703c2deba7c6f7bba3f2bae383234662e76fd73e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.2
|
Security for tidynamics 1.1.2
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.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
