Skip to main content

No project description provided

Project description

Yasik: Optimization Pipeline Integration for Racecar Simulation

Overview

Yasik is a domain-specific language (DSL) designed to seamlessly connect optimization pipelines with racecar simulations. It provides a powerful and flexible interface to streamline the integration of optimization algorithms into the simulation environment, enabling efficient tuning and enhancement of racecar performance.

Features

  • Optimization Pipeline Integration: Yasik serves as a bridge between optimization algorithms and racecar simulations, facilitating the exchange of data and control commands.
  • Parameter Configuration: Easily define and configure the parameters to be optimized in the racecar simulation. Yasik allows users to specify the variables subject to optimization and their respective ranges.
  • Real-time Communication: The language supports real-time communication between the optimization pipeline and the racecar simulation, enabling dynamic adjustments and rapid iterations during the optimization process.
  • Customizable Fitness Functions: Users can define and implement custom fitness functions tailored to their specific optimization goals. This allows for a wide range of optimization scenarios, from speed improvement to energy efficiency.

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

yasik-0.0.6.tar.gz (4.5 kB view details)

Uploaded Source

Built Distributions

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

yasik-0.0.6-py3-none-any.whl (4.2 kB view details)

Uploaded Python 3

yasik-0.0.6-cp39-cp39-manylinux_2_35_x86_64.whl (4.6 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.35+ x86-64

File details

Details for the file yasik-0.0.6.tar.gz.

File metadata

  • Download URL: yasik-0.0.6.tar.gz
  • Upload date:
  • Size: 4.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for yasik-0.0.6.tar.gz
Algorithm Hash digest
SHA256 40515d2a605919ae8b9b90d2bc6772dcd6536b531280f32849d8918c845c4db0
MD5 fcff475d0ba8ab438be57d862335a626
BLAKE2b-256 59f7ad2bd2148dae49ad5b0637d4123defb058a6ee4b676e29fc637ab83f97f4

See more details on using hashes here.

File details

Details for the file yasik-0.0.6-py3-none-any.whl.

File metadata

  • Download URL: yasik-0.0.6-py3-none-any.whl
  • Upload date:
  • Size: 4.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for yasik-0.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 4c3db47b62d5a2f8c975f377a4043d9b72ddd848a84830583be901b84ec314bc
MD5 d4fc4467a370687f67bcbc524c4bd611
BLAKE2b-256 643f5a7a4e25d56b49d17940c4d81e07f03ef08ad62e53d51ab081ade84edb3e

See more details on using hashes here.

File details

Details for the file yasik-0.0.6-cp39-cp39-manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for yasik-0.0.6-cp39-cp39-manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 1203c1a12676696859cdffd76dfa2f0e67e3dc5dbe0b4dab59b6c8eefea540d0
MD5 4c2baab76c76afc2c88f92fb7d2859ac
BLAKE2b-256 b3e989b3e03e865eeeeb221553f13aba58ac45fd7c29c0a8047cd3545b313927

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