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
Release history Release notifications | RSS feed
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-2.2.5.tar.gz
(64.3 kB
view hashes)
Built Distribution
Close
Hashes for bonsai_ai-2.2.5-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | a06942b92ef31ec3b66ce23d6d81ae84b485cbf5da614d2f483dc5a0ca6b3da2 |
|
MD5 | 561cda45210397a52b8f150cc90d85bb |
|
BLAKE2b-256 | f51cbc4e7e20f9942208bcf2d2ca536bfeb01ccb0a3df4556db262f84f8e4cd8 |