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The projection of my life.

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tetris

TL;DR

  • 《俄罗斯方块》这部电影里游戏作者用命令行玩俄罗斯方块原型机太酷了,所以决定自己实现一把

tetris.png

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import numpy as np
from func_timeout import FunctionTimedOut, func_set_timeout
from copy import deepcopy
import keyboard
from random import choice


def random_choice_block():
blocks = [
(
# . . . . . . [x][x] . . . . . .
# . . . . . . [x][x] . . . . . .
(
[0, space.shape[1] // 2 - 1],
[0, space.shape[1] // 2],
[1, space.shape[1] // 2 - 1],
[1, space.shape[1] // 2],
),
),
(
# . . . . . . [x][x] . . . . . .
# . . . . . . . [x][x] . . . . .
(
[0, space.shape[1] // 2 - 2],
[0, space.shape[1] // 2 - 1],
[1, space.shape[1] // 2 - 1],
[1, space.shape[1] // 2],
),
# . . . . . . [x] . . . . . .
# . . . . . [x][x] . . . . . .
# . . . . . [x] . . . . . . .
(
[0, space.shape[1] // 2],
[1, space.shape[1] // 2 - 1],
[1, space.shape[1] // 2],
[2, space.shape[1] // 2 - 1],
),
),
(
# . . . . . . [x][x] . . . . . .
# . . . . . [x][x] . . . . . . .
(
[0, space.shape[1] // 2],
[0, space.shape[1] // 2 + 1],
[1, space.shape[1] // 2 - 1],
[1, space.shape[1] // 2],
),
# . . . . . [x] . . . . . .
# . . . . . [x][x] . . . . . .
# . . . . . . [x] . . . . . . .
(
[0, space.shape[1] // 2 - 1],
[1, space.shape[1] // 2 - 1],
[1, space.shape[1] // 2],
[2, space.shape[1] // 2],
),
),
(
# . . . . . . [x][x][x][x] . . . . . .
(
[0, space.shape[1] // 2 - 2],
[0, space.shape[1] // 2 - 1],
[0, space.shape[1] // 2],
[0, space.shape[1] // 2 + 1],
),
# . . . . . . [x] . . . . . .
# . . . . . . [x] . . . . . .
# . . . . . . [x] . . . . . .
# . . . . . . [x] . . . . . .
(
[0, space.shape[1] // 2],
[1, space.shape[1] // 2],
[2, space.shape[1] // 2],
[3, space.shape[1] // 2],
),
),
(
# . . . . . . [x] . . . . . .
# . . . . . [x][x][x] . . . . .
(
[0, space.shape[1] // 2],
[1, space.shape[1] // 2 - 1],
[1, space.shape[1] // 2],
[1, space.shape[1] // 2 + 1],
),
# . . . . . . [x] . . . . . .
# . . . . . . [x][x] . . . . .
# . . . . . . [x] . . . . . .
(
[0, space.shape[1] // 2 - 1],
[1, space.shape[1] // 2 - 1],
[1, space.shape[1] // 2],
[2, space.shape[1] // 2 - 1],
),
# . . . . . [x][x][x] . . . . .
# . . . . . . [x] . . . . . .
(
[0, space.shape[1] // 2 - 1],
[0, space.shape[1] // 2],
[0, space.shape[1] // 2 + 1],
[1, space.shape[1] // 2],
),
# . . . . . . [x] . . . . . .
# . . . . . [x][x] . . . . .
# . . . . . . [x] . . . . . .
(
[0, space.shape[1] // 2],
[1, space.shape[1] // 2 - 1],
[1, space.shape[1] // 2],
[2, space.shape[1] // 2],
),
),
(
# . . . . . [x] . . . . . . .
# . . . . . [x][x][x] . . . . .
(
[0, space.shape[1] // 2 - 1],
[1, space.shape[1] // 2 - 1],
[1, space.shape[1] // 2],
[1, space.shape[1] // 2 + 1],
),
# . . . . . [x][x] . . . . . .
# . . . . . [x] . . . . . . .
# . . . . . [x] . . . . . . .
(
[0, space.shape[1] // 2 - 1],
[0, space.shape[1] // 2],
[1, space.shape[1] // 2 - 1],
[2, space.shape[1] // 2 - 1],
),
# . . . . . [x][x][x] . . . . .
# . . . . . . . [x] . . . . .
(
[0, space.shape[1] // 2 - 1],
[0, space.shape[1] // 2],
[0, space.shape[1] // 2 + 1],
[1, space.shape[1] // 2 + 1],
),
# . . . . . [x] . . . . . . .
# . . . . . [x] . . . . . . .
# . . . . [x][x] . . . . . . .
(
[0, space.shape[1] // 2],
[1, space.shape[1] // 2],
[2, space.shape[1] // 2 - 1],
[2, space.shape[1] // 2],
),
),
(
# . . . . . . . [x] . . . . .
# . . . . . [x][x][x] . . . . .
(
[0, space.shape[1] // 2 + 1],
[1, space.shape[1] // 2 - 1],
[1, space.shape[1] // 2],
[1, space.shape[1] // 2 + 1],
),
# . . . . . [x] . . . . . . .
# . . . . . [x] . . . . . . .
# . . . . . [x][x] . . . . . .
(
[0, space.shape[1] // 2 - 1],
[1, space.shape[1] // 2 - 1],
[2, space.shape[1] // 2 - 1],
[2, space.shape[1] // 2],
),
# . . . . . [x][x][x] . . . . .
# . . . . . [x] . . . . . . .
(
[0, space.shape[1] // 2 - 1],
[0, space.shape[1] // 2],
[0, space.shape[1] // 2 + 1],
[1, space.shape[1] // 2 - 1],
),
# . . . . [x][x] . . . . . . .
# . . . . . [x] . . . . . . .
# . . . . . [x] . . . . . . .
(
[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()

遇到的问题

  • python 监听字符读入(非 input,input 需要回车结束)好困难,所以该程序 必须用 root 用户下命令行运行….
  • python 的超时阻塞式监听更难,func_timeoutlinux 上运行疑似还有 bug:多线程打开文件但没有关闭,超出 OS limit,在玩十分钟可能才会出现….