hundredandten-automation-naive 0.0.5

Naive strategy player for the game Hundred and Ten

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.