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
2 maintainers
Metadata
2 maintainers
Release files for bonsai-ai 2.2.8
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| bonsai-ai-2.2.8.tar.gz | 36.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bonsai_ai-2.2.8-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Total release size: 130.8 kB
Release files / bonsai-ai-2.2.8.tar.gz
| Download URL | bonsai-ai-2.2.8.tar.gz |
|---|---|
| Size | 36.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / bonsai_ai-2.2.8-py2.py3-none-any.whl
| Download URL | bonsai_ai-2.2.8-py2.py3-none-any.whl |
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| Size | 93.8 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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