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 -j$(nproc)
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 -j$(nproc)

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-3.13.1.tar.gz (116.4 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-3.13.1-cp312-cp312-manylinux_2_39_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.39+ x86-64

dsf_mobility-3.13.1-cp312-cp312-macosx_15_0_arm64.whl (838.2 kB view details)

Uploaded CPython 3.12macOS 15.0+ ARM64

dsf_mobility-3.13.1-cp310-cp310-manylinux_2_39_x86_64.whl (1.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.39+ x86-64

dsf_mobility-3.13.1-cp310-cp310-macosx_15_0_arm64.whl (834.6 kB view details)

Uploaded CPython 3.10macOS 15.0+ ARM64

File details

Details for the file dsf_mobility-3.13.1.tar.gz.

File metadata

  • Download URL: dsf_mobility-3.13.1.tar.gz
  • Upload date:
  • Size: 116.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.11

File hashes

Hashes for dsf_mobility-3.13.1.tar.gz
Algorithm Hash digest
SHA256 958dc63b59c69d66ca9b51929afd6814b2f81d37a2d9a17012b5d0efb5c0ac89
MD5 6d98be2dd9d557bfa5c2e5b2c6038e74
BLAKE2b-256 a09991b1ba1baae59b87d8cecaf64b80b4a5d6beacfb889cb9a4f76911e26f43

See more details on using hashes here.

File details

Details for the file dsf_mobility-3.13.1-cp312-cp312-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for dsf_mobility-3.13.1-cp312-cp312-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 8b534287fa1ffb7ef2669f1dafaeee21e9dd4a7f1e6f4e97ae684b3c38e63fed
MD5 4bd55bc02aed8b7215dffd0654d801c4
BLAKE2b-256 4f866fd02b2f76ba0e8ccbc6a46c46a881815e7f8d80f5d6e540a977ee282f14

See more details on using hashes here.

File details

Details for the file dsf_mobility-3.13.1-cp312-cp312-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for dsf_mobility-3.13.1-cp312-cp312-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 72bcfbaa4b41aeb73ae069dee8144efc4e8c6ddae2c202bbe9148c43a69039ec
MD5 323c9ed416f94d1e922166b2411acf8f
BLAKE2b-256 ab9d24fda463b9c1338ac7b39dca63ad01d89dfde159b28e5e6961074080a629

See more details on using hashes here.

File details

Details for the file dsf_mobility-3.13.1-cp310-cp310-manylinux_2_39_x86_64.whl.

File metadata

File hashes

Hashes for dsf_mobility-3.13.1-cp310-cp310-manylinux_2_39_x86_64.whl
Algorithm Hash digest
SHA256 f62e2e16784a95a9a7688564837e10a136cc0e6c70f1194271a8fa1a9b71536e
MD5 c3a3ecb401135109fc3601da3c74000b
BLAKE2b-256 05ec40dcd96f13f8d9a0831426ddeac3344ea6847359ab3bdb0e15e79773de20

See more details on using hashes here.

File details

Details for the file dsf_mobility-3.13.1-cp310-cp310-macosx_15_0_arm64.whl.

File metadata

File hashes

Hashes for dsf_mobility-3.13.1-cp310-cp310-macosx_15_0_arm64.whl
Algorithm Hash digest
SHA256 ce5cf5cf3977525a635e2362b2e34f7e4482dce453fb9845c71ee5230ec93dbd
MD5 9ea4c9f1e5552173284132b8dd69b0c9
BLAKE2b-256 9cfc33e7943b36425932ad555427092bdcaadaed7523af8a1e8798a3b15656b2

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