The Matrix ABM: An Agent Based Modeling Framework
The Matrix ABM is an agent based modeling framework for developing large scale social simulations that can run on distributed computing platforms.
Full documentation
The full documentation is available at docs/source/index.rst
The Matrix ABM depends on mpi4py which requires a MPI implementation and compiler tools be installed on the system.
Installing Open MPI and mpi4py inside a conda environment
To create a new virtual environment with conda, have Anaconda/Miniconda setup on your system. Installation instructions for Anaconda can be found here. After installation of Anaconda/Miniconda execute the following commands:
$ conda create -n matrixabm -c conda-forge python=3 openmpi mpi4py
The above command creates a new conda environment called matrixabm with python, openmpi and mpi4py installed.
The following commands assume you are inside the above conda environment.
Building the documentation from source
To build and view the documentation as HTML, execute the following commands:
$ git clone https://github.com/NSSAC/matrixabm.git $ cd matrixabm $ pip install --editable . $ pip install -r dev_requirements.txt $ make -C docs $ <BROWSER-COMMAND> docs/build/html/index.html
1 maintainer
Metadata
1 maintainer
Release files for matrixabm 0.3.2
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 |
|---|---|---|---|---|
| matrixabm-0.3.2.tar.gz | 77.2 kB | Without provenance | Details for matrixabm-0.3.2.tar.gz |
Release files / matrixabm-0.3.2.tar.gz
| Download URL | matrixabm-0.3.2.tar.gz |
|---|---|
| Size | 77.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
d1c076f7dcc12da94d314b9d8b5d986d4e18f2173f4ed5ec47a63430d0e348ef
|
|
BLAKE2b-256 checksum How to use checksums |
29bb2b3f0cfa9382a38b1c579051f455027a5f5e1b4d241d6ac0d6c1d5d2e1a6
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.3.1 requests-toolbelt/0.9.1 tqdm/4.46.0 CPython/3.8.2
|
Security for matrixabm 0.3.2
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.
