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dumbbot.py
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dumbbot.py
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# Simulation to test the game
# This makes fully random moves till the game ends
from game import GameManager
from game import Moves
import random
from statistics import mean, variance, stdev, mode
import time
T=100
def simulation(grid):
# Start game from intermediate state
sim_game = GameManager(grid)
while not sim_game.isOver():
# Implement your logic of selecting a move
move = random.choice(sim_game.getAvailableMoves())
sim_game.makeMove(move)
gt = sim_game.getGameTracker()
# print("Simulation from selected state")
# print("Final Score: %d"%(sim_game.getScore()))
# print("Max Tile: %d"%(gt.getMaxTile()))
# print("No. Of Moves: %d"%(gt.getNoOfMoves()))
# print("Time per move: %0.5f"%(gt.getTimePerMove()))
return gt
def run():
game = GameManager()
gt = game.getGameTracker()
is_simulation = (random.randint(0,10) == 0)
while not game.isOver():
# print(game.getAvailableMoves())
# Implement your logic of selecting a move
move = game.getAvailableMoves()[0]
# Try Simulation
if gt.getScore() > 100 and is_simulation:
try_grid, score = game.tryMove(game.getCurrentState(), move)
return simulation(try_grid)
game.makeMove(move)
# print("Final Score: %d"%(game.getScore()))
# print("Max Tile: %d"%(gt.getMaxTile()))
# print("No. Of Moves: %d"%(gt.getNoOfMoves()))
# print("Time per move: %0.5f"%(gt.getTimePerMove()))
return gt
if __name__ == "__main__":
print("I am dubm, but don't underestimate me!")
t_scores = []
ex_times = []
max_tile = []
num_moves = []
while T > 0:
gt = run()
t_scores.append(gt.getScore())
ex_times.append(gt.getTimePerMove())
max_tile.append(gt.getMaxTile())
num_moves.append(gt.getNoOfMoves())
T = T-1
print("Final Analysis:")
print("Mean Score: %.3f"%(mean(t_scores)))
print("Max Score: %d"%(max(t_scores)))
print("Std Deviation of Scores: %.3f"%(stdev(t_scores)))
print("Average Time taken per move(sec): %.4f"%(mean(ex_times)))
print("Average No. of moves: %.4f"%(mean(num_moves)))
print("Most common Max Tile reached: %d"%(mode(max_tile)))