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 | import numpy as npfrom func_timeout import FunctionTimedOut, func_set_timeout
 from copy import deepcopy
 import keyboard
 from random import choice
 def random_choice_block():
 blocks = [
 (
 
 
 (
 [0, space.shape[1] // 2 - 1],
 [0, space.shape[1] // 2],
 [1, space.shape[1] // 2 - 1],
 [1, space.shape[1] // 2],
 ),
 ),
 (
 
 
 (
 [0, space.shape[1] // 2 - 2],
 [0, space.shape[1] // 2 - 1],
 [1, space.shape[1] // 2 - 1],
 [1, space.shape[1] // 2],
 ),
 
 
 
 (
 [0, space.shape[1] // 2],
 [1, space.shape[1] // 2 - 1],
 [1, space.shape[1] // 2],
 [2, space.shape[1] // 2 - 1],
 ),
 ),
 (
 
 
 (
 [0, space.shape[1] // 2],
 [0, space.shape[1] // 2 + 1],
 [1, space.shape[1] // 2 - 1],
 [1, space.shape[1] // 2],
 ),
 
 
 
 (
 [0, space.shape[1] // 2 - 1],
 [1, space.shape[1] // 2 - 1],
 [1, space.shape[1] // 2],
 [2, space.shape[1] // 2],
 ),
 ),
 (
 
 (
 [0, space.shape[1] // 2 - 2],
 [0, space.shape[1] // 2 - 1],
 [0, space.shape[1] // 2],
 [0, space.shape[1] // 2 + 1],
 ),
 
 
 
 
 (
 [0, space.shape[1] // 2],
 [1, space.shape[1] // 2],
 [2, space.shape[1] // 2],
 [3, space.shape[1] // 2],
 ),
 ),
 (
 
 
 (
 [0, space.shape[1] // 2],
 [1, space.shape[1] // 2 - 1],
 [1, space.shape[1] // 2],
 [1, space.shape[1] // 2 + 1],
 ),
 
 
 
 (
 [0, space.shape[1] // 2 - 1],
 [1, space.shape[1] // 2 - 1],
 [1, space.shape[1] // 2],
 [2, space.shape[1] // 2 - 1],
 ),
 
 
 (
 [0, space.shape[1] // 2 - 1],
 [0, space.shape[1] // 2],
 [0, space.shape[1] // 2 + 1],
 [1, space.shape[1] // 2],
 ),
 
 
 
 (
 [0, space.shape[1] // 2],
 [1, space.shape[1] // 2 - 1],
 [1, space.shape[1] // 2],
 [2, space.shape[1] // 2],
 ),
 ),
 (
 
 
 (
 [0, space.shape[1] // 2 - 1],
 [1, space.shape[1] // 2 - 1],
 [1, space.shape[1] // 2],
 [1, space.shape[1] // 2 + 1],
 ),
 
 
 
 (
 [0, space.shape[1] // 2 - 1],
 [0, space.shape[1] // 2],
 [1, space.shape[1] // 2 - 1],
 [2, space.shape[1] // 2 - 1],
 ),
 
 
 (
 [0, space.shape[1] // 2 - 1],
 [0, space.shape[1] // 2],
 [0, space.shape[1] // 2 + 1],
 [1, space.shape[1] // 2 + 1],
 ),
 
 
 
 (
 [0, space.shape[1] // 2],
 [1, space.shape[1] // 2],
 [2, space.shape[1] // 2 - 1],
 [2, space.shape[1] // 2],
 ),
 ),
 (
 
 
 (
 [0, space.shape[1] // 2 + 1],
 [1, space.shape[1] // 2 - 1],
 [1, space.shape[1] // 2],
 [1, space.shape[1] // 2 + 1],
 ),
 
 
 
 (
 [0, space.shape[1] // 2 - 1],
 [1, space.shape[1] // 2 - 1],
 [2, space.shape[1] // 2 - 1],
 [2, space.shape[1] // 2],
 ),
 
 
 (
 [0, space.shape[1] // 2 - 1],
 [0, space.shape[1] // 2],
 [0, space.shape[1] // 2 + 1],
 [1, space.shape[1] // 2 - 1],
 ),
 
 
 
 (
 [0, space.shape[1] // 2 - 1],
 [0, space.shape[1] // 2],
 [1, space.shape[1] // 2],
 [2, space.shape[1] // 2],
 ),
 ),
 ]
 return choice(blocks)
 def can_transform():
 global block_idx, position
 block = block_list[block_idx]
 next_block = block_list[(block_idx + 1) % len(block_list)]
 shift = (position[1][0] - block[1][0], position[1][1] - block[1][1])
 next_position = np.zeros_like(position, dtype=np.int64)
 for i, p in enumerate(next_block):
 next_position[i][0] = p[0] + shift[0]
 next_position[i][1] = p[1] + shift[1]
 if next_position[:, 0].min() < 0:
 next_position[:, 0] -= next_position[:, 0].min()
 if next_position[:, 0].max() >= space.shape[0]:
 next_position[:, 0] -= next_position[:, 0].max() - space.shape[0] + 1
 if next_position[:, 1].min() < 0:
 next_position[:, 1] -= next_position[:, 1].min()
 if next_position[:, 1].max() >= space.shape[1]:
 next_position[:, 1] -= next_position[:, 1].max() - space.shape[1] + 1
 for p in next_position:
 if space[p[0], p[1]] and list(p) not in position.tolist():
 return False
 for p in position:
 space[p[0], p[1]] = False
 position = next_position
 block_idx = (block_idx + 1) % len(block_list)
 return True
 def transform():
 if can_transform():
 for p in position:
 space[p[0], p[1]] = True
 show_space()
 def get_block():
 global position
 global block_list
 global block_idx
 global next_block_list
 global next_block_idx
 if position is not None:
 block_list = next_block_list
 block_idx = next_block_idx
 else:
 block_list = random_choice_block()
 block_idx = choice([i for i in range(len(block_list))])
 block = block_list[block_idx]
 next_block_list = random_choice_block()
 next_block_idx = choice([i for i in range(len(next_block_list))])
 for p in block:
 if space[p[0], p[1]]:
 show_space()
 return False
 for p in block:
 position = np.array(
 block,
 dtype=np.int64,
 )
 space[p[0], p[1]] = True
 show_space()
 return True
 def can_down():
 down_position = deepcopy(position)
 down_position[:, 0] += 1
 if down_position[:, 0].max() >= space.shape[0]:
 return False
 for dp in down_position:
 if dp.tolist() not in position.tolist() and space[dp[0], dp[1]]:
 return False
 return True
 def can_cancel_layer():
 for i, line in enumerate(reversed(space)):
 if line.sum() == len(line):
 return len(space) - i - 1
 return -1
 def cancel_layer(layer_label):
 global score
 space[1 : layer_label + 1] = space[:layer_label]
 space[0, :] = False
 score += 100
 def down():
 if can_down():
 for p in position:
 space[p[0], p[1]] = False
 position[:, 0] += 1
 for p in position:
 space[p[0], p[1]] = True
 show_space()
 def can_left():
 left_position = deepcopy(position)
 left_position[:, 1] -= 1
 if left_position[:, 1].min() < 0:
 return False
 for lp in left_position:
 if lp.tolist() not in position.tolist() and space[lp[0], lp[1]]:
 return False
 return True
 def left():
 if can_left():
 for p in position:
 space[p[0], p[1]] = False
 position[:, 1] -= 1
 for p in position:
 space[p[0], p[1]] = True
 show_space()
 def can_right():
 right_position = deepcopy(position)
 right_position[:, 1] += 1
 if right_position[:, 1].max() >= space.shape[1]:
 return False
 for rp in right_position:
 if rp.tolist() not in position.tolist() and space[rp[0], rp[1]]:
 return False
 return True
 def right():
 if can_right():
 for p in position:
 space[p[0], p[1]] = False
 position[:, 1] += 1
 for p in position:
 space[p[0], p[1]] = True
 show_space()
 def show_space():
 print()
 print("=" * 10 + "\tNEXT\t" + "=" * 10)
 block = np.array(next_block_list[next_block_idx])
 block[:, 1] -= block[:, 1].min()
 next_block = np.zeros((4, 4), dtype=np.bool8)
 for p in block:
 next_block[p[0], p[1]] = True
 for line in next_block:
 s = ""
 for item in line:
 if item:
 s += "[X]"
 else:
 s += " . "
 print(s)
 print()
 print("=" * 10 + "\tGAME AREA\t" + "=" * 10)
 for line in space:
 s = ""
 for item in line:
 if item:
 s += "[X]"
 else:
 s += " . "
 print(s)
 print("-" * 30 + f"\tSCORE: {score}\t" + "-" * 30)
 def keyboard_callback(event: keyboard.KeyboardEvent):
 if event.event_type == "down":
 if event.name == "left":
 left()
 elif event.name == "right":
 right()
 elif event.name == "down":
 down()
 elif event.name == "up":
 transform()
 @func_set_timeout(1)
 def listen_keyboard():
 keyboard.hook(callback=keyboard_callback, suppress=True)
 keyboard.wait()
 def main():
 while get_block():
 while can_down():
 try:
 listen_keyboard()
 except FunctionTimedOut:
 down()
 try:
 listen_keyboard()
 except FunctionTimedOut:
 while can_cancel_layer() > -1:
 cancel_layer(can_cancel_layer())
 print(f"score: {score}\tgame over !!!")
 if __name__ == "__main__":
 space_shape = (20, 10)
 score = 0
 space = np.zeros(shape=space_shape, dtype=np.bool8)
 position = None
 main()
 
 |