Skip to main content

DSF C++ core with Python bindings via pybind11

Project description

DynamicalSystemFramework

Latest Release PyPI version Standard TBB SPDLOG CSV JSON codecov

The aim of this project is to rework the original Traffic Flow Dynamics Model. This rework consists of a full code rewriting, in order to implement more features (like intersections) and get advantage from the latest C++ updates.

Table of Contents

Installation

The library is available on PyPI:

pip install dsf-mobility

To check the installation you can simply run

import dsf

print(dsf.__version__)

Installation (from source)

Requirements

The project requires C++20 or greater, cmake, tbb simdjson, and spdlog (with fmt). To install requirements on Ubuntu:

sudo apt install libtbb-dev libspdlog-dev libsimdjson-dev cmake

To install requirements on macOS:

brew install tbb simdjson spdlog cmake

Utilities are written in python. To install their dependencies:

pip install -r ./requirements.txt

Installation (C++)

The library can be installed using CMake. To build and install the project in the default folder run:

cmake -B build -DCMAKE_BUILD_TYPE=Release && cmake --build build
sudo cmake --install build

Otherwise, it is possible to customize the installation path:

cmake -B build -DCMAKE_INSTALL_PREFIX=/path/to/install

then building and installing it (eventually in sudo mode) with:

cmake --build build
cmake --install build

Installation (Python)

If you want to use the library from Python, you can build the Python bindings using pybind11. Make sure you have doxygen installed to generate the docstrings:

sudo apt install doxygen

Then, the installation is automatic via pip:

pip install .

After installation, you should be able to import the module in Python:

import dsf

print(dsf.__version__)

If you encounter issues, ensure that the installation path is in your PYTHONPATH environment variable.

Testing

This project uses Doctest for testing.

To compile tests run:

cd test
cmake -B build && make -C build

To run all the tests together use the command:

./dsf_tests.out

Benchmarking

Some functionalities of the library have been benchmarked in order to assess their efficiency.
The benchmarks are performed using a small toolkit developed by @sbaldu, in order to keep them simple and without needing to rely on large external libraries.
To compile the benchmarks use the commands:

cd benchmark
cmake -B build && make -C build

To run all the benchmarks together use the command:

for f in ./*.out ; do ./$f ; done

Citing

@misc{DSF,
  author = {Berselli, Gregorio and Balducci, Simone},
  title = {Framework for modelling dynamical complex systems.},
  year = {2023},
  url = {https://github.com/physycom/DynamicalSystemFramework},
  publisher = {GitHub},
  howpublished = {\url{https://github.com/physycom/DynamicalSystemFramework}}
}

Bibliography

  • Mungai, Veronica (2024) Studio dell'ottimizzazione di una rete semaforica. University of Bologna, Bachelor's Degree in Physics [L-DM270]. Link to Thesis.
  • Berselli, Gregorio (2024) Advanced queuing traffic model for accurate congestion forecasting and management. University of Bologna, Master's Degree in Physics [LM-DM270]. Link to Thesis.
  • Berselli, Gregorio (2022) Modelli di traffico per la formazione della congestione su una rete stradale. University of Bologna, Bachelor's Degree in Physics [L-DM270]. Link to Thesis.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dsf_mobility-3.12.0.tar.gz (116.0 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

dsf_mobility-3.12.0-cp312-cp312-manylinux_2_39_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.39+ x86-64

dsf_mobility-3.12.0-cp312-cp312-macosx_15_0_arm64.whl (837.3 kB view details)

Uploaded CPython 3.12macOS 15.0+ ARM64

dsf_mobility-3.12.0-cp310-cp310-manylinux_2_39_x86_64.whl (1.1 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.39+ x86-64

dsf_mobility-3.12.0-cp310-cp310-macosx_15_0_arm64.whl (833.8 kB view details)

Uploaded CPython 3.10macOS 15.0+ ARM64

File details

Details for the file dsf_mobility-3.12.0.tar.gz.

File metadata

  • Download URL: dsf_mobility-3.12.0.tar.gz
  • Upload date:
  • Size: 116.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.11

File hashes

Hashes for dsf_mobility-3.12.0.tar.gz
Algorithm Hash digest
SHA256 afab29273d833f1befaba85530d24cc8e01c11b824e7fdea314a85e0799c0e8d
MD5 9d55e9e1dd781a9ada96727be76925b0
BLAKE2b-256 a84b1b6fdffcf9caa6d8a9ef96eda0e8c13facbd25748779cc0e3372b8858626

See more details on using hashes here.

File details

Details for the file dsf_mobility-3.12.0-cp312-cp312-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for dsf_mobility-3.12.0-cp312-cp312-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 ffde9dedc7ec80737a5b2fc8f6612260a97da77e3da993c7fea94ac9869a5021
MD5 da249b079896c923f8a72006cb641692
BLAKE2b-256 1f7fd0022b6217c9b59073c20942767a19e16532d70c548dc76dbb9cb945a724

See more details on using hashes here.

File details

Details for the file dsf_mobility-3.12.0-cp312-cp312-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for dsf_mobility-3.12.0-cp312-cp312-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 cef5a5df5bdb8b4f84fb41fb03568598c27d909b827d353614e3fc562ee1ea78
MD5 8d12821601b43e6e6679f04d7141b003
BLAKE2b-256 bfafafabb0f5c7695f0171fbc50ee7a32cb78651b68aaa63545c30aa9553fc35

See more details on using hashes here.

File details

Details for the file dsf_mobility-3.12.0-cp310-cp310-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for dsf_mobility-3.12.0-cp310-cp310-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 488f3ae9dfc61ceac7b8dfde5fd2e5188e7476217ab751867e8d06cbb5c7a18c
MD5 b6bc0f08a643eb3a5c71ce6b48307eaa
BLAKE2b-256 ea14e8b4f73f543f73bc877f5b1c569066b81b9d942e2f089d95dd58dd4a4973

See more details on using hashes here.

File details

Details for the file dsf_mobility-3.12.0-cp310-cp310-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for dsf_mobility-3.12.0-cp310-cp310-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 19ec0a536576430065e5d56edd866e5db1ea4b7aadd15c3d72f63c4876dda2ca
MD5 208e76b8e6d1674e0c73ebb61b869935
BLAKE2b-256 bb362add8ac73c88dc80cadefdf71aa4d4ee400305cecbb463254ad4427a2587

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page