A framework for implementing distributed algorithms in a simulated network environment

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for thlamz from gravatar.com thlamz

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License Copyright (c) 2023 Thiago de Souza Lamenza Permission is hereby granted, free of charg...)
  • Author: Thiago de Souza Lamenza
  • Tags network, distributed, algorithm, simulation, gradys, LAC, PUC, drone, sensor
  • Requires: Python >=3.8
Classifiers

Project description

Prototype for Gradys-SIM V2

Running instructions

Create the build directory

mkdir build

Enter the build directory

cd build

CMake the project

cmake ..

Build the project

make

Run the project

./simulator

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for thlamz from gravatar.com thlamz

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT License Copyright (c) 2023 Thiago de Souza Lamenza Permission is hereby granted, free of charg...)
  • Author: Thiago de Souza Lamenza
  • Tags network, distributed, algorithm, simulation, gradys, LAC, PUC, drone, sensor
  • Requires: Python >=3.8
Classifiers

Release history Release notifications | RSS feed

0.6.11

0.6.10

0.6.9

0.6.8

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.2

0.5.1

0.5.0

0.4.0

0.0.3

0.0.2

This version

0.0.1

Download files

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

Source Distribution

GrADySIM-0.0.1.tar.gz (481.7 kB view details)

Uploaded Source

Built Distributions

gradysim-0.0.1-py3-none-any.whl (37.0 kB view details)

Uploaded Python 3

GrADySIM-0.0.1-py3-none-any.whl (37.0 kB view details)

Uploaded Python 3

File details

Details for the file GrADySIM-0.0.1.tar.gz.

File metadata

  • Download URL: GrADySIM-0.0.1.tar.gz
  • Upload date:
  • Size: 481.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for GrADySIM-0.0.1.tar.gz
Algorithm Hash digest
SHA256 eab2688c179c782beb7fb93e9158b4ce809972d825eb8931fc5eb582d9158463
MD5 a8807241e369876ab9c40022d4c71026
BLAKE2b-256 34df3b3a33ab457fd071d87a804c6987bbc61a5402289f3955dc2441a504b899

See more details on using hashes here.

File details

Details for the file gradysim-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: gradysim-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 37.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for gradysim-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 3768b450bcce1ad7d607723146b2153ecbd10b424cd373ca46fc09af548ced12
MD5 1d8b06e564e00d3cfa331abd571938f4
BLAKE2b-256 9ea8f9af576ad82ef24c53c018cdf7a875a98ecb3ef7671919f1304b071ebca8

See more details on using hashes here.

File details

Details for the file GrADySIM-0.0.1-py3-none-any.whl.

File metadata

  • Download URL: GrADySIM-0.0.1-py3-none-any.whl
  • Upload date:
  • Size: 37.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.6

File hashes

Hashes for GrADySIM-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 ced466c98e3909f0a33409ee5ab2737c29a461d5fd8be233e95e89f96cca4472
MD5 42b1e9d4a4ed2de777097dba0d14ea2a
BLAKE2b-256 3daf55ebe42abc97392b47bce36dc8dee57829aa2e94304ed40150d26c5a4cb5

See more details on using hashes here.

Supported by

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