Skip to main content

Simulator interface library for Bonsai AI platform v2

Project description

A python library for integrating data sources with Bonsai BRAIN.

Installation

To install the current release version:

$ pip install bonsai-ai

Usage

Clients will subclass bonsai.Simulator and implement the required methods.

Example:

#!/usr/bin/env python3

import sys
from bonsai_ai import Simulator, Brain, Config

class MySim(Simulator):
    def episode_start(self, parameters):
        initial = {"value": 1.0}
        return initial

    def simulate(self, action, objective):
        terminal = True
        state = {"value": 1.0}
        return (state, 1.0, terminal)

Then, the simulator is configured and assigned a BRAIN and run.

def example():
    config = Config(sys.argv)
    brain = Brain(config)
    sim = MySim(brain, 'example_simulator')
    while sim.run():
        continue

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

bonsai-ai-2.0.10.tar.gz (25.6 kB view details)

Uploaded Source

Built Distribution

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

bonsai_ai-2.0.10-py2.py3-none-any.whl (33.8 kB view details)

Uploaded Python 2Python 3

File details

Details for the file bonsai-ai-2.0.10.tar.gz.

File metadata

  • Download URL: bonsai-ai-2.0.10.tar.gz
  • Upload date:
  • Size: 25.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for bonsai-ai-2.0.10.tar.gz
Algorithm Hash digest
SHA256 f863d87fe4785e8205014566e2f1a0a44790e8c96ddd707ba134e0cef8bc524b
MD5 9076dbe0e01bcbbf4b680e6342b6b2d3
BLAKE2b-256 aa7cb93738bbf9fad09a384f96122850466f524d0320655092c663f83bffb4e5

See more details on using hashes here.

File details

Details for the file bonsai_ai-2.0.10-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for bonsai_ai-2.0.10-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 cac907ef314f5337b050cf6b98a560b0b094844087931f2e20ac7d0b64e608ec
MD5 8d12703e31debd51686d6b89462c3be7
BLAKE2b-256 86d2588e49a53d9de6ee18b9f6a8401515f9b1872eb61475a9bb5f88b004ed4c

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