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-0.0.4.tar.gz (4.4 kB view details)

Uploaded Source

Built Distributions

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

yasik-0.0.4-py3-none-any.whl (4.2 kB view details)

Uploaded Python 3

yasik-0.0.4-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-0.0.4.tar.gz.

File metadata

  • Download URL: yasik-0.0.4.tar.gz
  • Upload date:
  • Size: 4.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.9.13

File hashes

Hashes for yasik-0.0.4.tar.gz
Algorithm Hash digest
SHA256 5f141d534e0859d4c1fea157d881deb5b623d3581a35c4a1630a45c96e877baf
MD5 26296b6f105f11cbd1738aba4c0e8e54
BLAKE2b-256 1025ac58822000ae7116e1220c9c8ab019d37d58fc4369c8427c412c8991cde5

See more details on using hashes here.

File details

Details for the file yasik-0.0.4-py3-none-any.whl.

File metadata

  • Download URL: yasik-0.0.4-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-0.0.4-py3-none-any.whl
Algorithm Hash digest
SHA256 43dd6d6e7392016342c1fe64265f570141b8a582dd89c6d1d90eb24232bfcf2c
MD5 f2cc067bb662396999039009ebc01be3
BLAKE2b-256 00bcc63b2de3da1651d623531cd9b07292419f76f5c95fb620f72f4ec3f31d21

See more details on using hashes here.

File details

Details for the file yasik-0.0.4-cp39-cp39-manylinux_2_35_x86_64.whl.

File metadata

File hashes

Hashes for yasik-0.0.4-cp39-cp39-manylinux_2_35_x86_64.whl
Algorithm Hash digest
SHA256 5cb3f3d9b0bf5e51fbee0788e068fe2bfa87ca9f2ddb75610e094f70a6526a9a
MD5 1ff3785f690c4a10d7ad3e172cf966f0
BLAKE2b-256 12fe54c8a27bccf750dc0115f30b9a6154e6d7b21c5c42302b94dc88db8c2d3c

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