hundredandten-automation-naive
Naive baseline automation strategy for the card game Hundred and Ten.
This package implements a simple rule-based player that operates entirely on GameState with no direct engine dependency. It accepts a GameState and returns an AvailableAction following a hard-coded strategy.
from hundredandten.state import GameState
from hundredandten.automation import naive
# construct a game state
available_action = naive.action_for(game_state)
print(available_action)
Exports
action_for(state: GameState) -> AvailableAction
Returns the naive player's suggested action for the current game state. Covers all phases: bidding, trump selection, discard, and trick play.
This is the only public API. Pass it directly to EngineAdapter.action_for as the decision function.
1 maintainer
Metadata
1 maintainer
Release files for hundredandten-automation-naive 0.0.9
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Release files / hundredandten_automation_naive-0.0.9-py3-none-any.whl
| Download URL | hundredandten_automation_naive-0.0.9-py3-none-any.whl |
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| Size | 4.3 kB |
| Tags | Python 3 |
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