用python实现Minecraft_minecraft python编程

你有没有想过用python制作一个Minecraft?在github上就有这样一个python程序（链接：https://github.com/zifan-wang/Minecraft.git）,玩起来还像模像样的：

一.游戏截图

二.代码分析

在游戏的文件夹中共有这些文件：

1.main.py

代码：（如有需要可复制，不需要可直接跳过）

import sys
import random
import time
import numba as nb
import threading
 
from collections import deque
from pyglet import image
from pyglet.gl import *
from pyglet.graphics import TextureGroup
from pyglet.window import key, mouse
from settings import *
 
SEED = random.randint(10, 1000000)#656795(种子"akioi") # 世界种子
print('seed:', SEED)
 
 
def cube_vertices(x, y, z, n):
    # 返回立方体的顶点，大小为2n。
    return [
        x-n,y+n,z-n, x-n,y+n,z+n, x+n,y+n,z+n, x+n,y+n,z-n,  # top
        x-n,y-n,z-n, x+n,y-n,z-n, x+n,y-n,z+n, x-n,y-n,z+n,  # bottom
        x-n,y-n,z-n, x-n,y-n,z+n, x-n,y+n,z+n, x-n,y+n,z-n,  # left
        x+n,y-n,z+n, x+n,y-n,z-n, x+n,y+n,z-n, x+n,y+n,z+n,  # right
        x-n,y-n,z+n, x+n,y-n,z+n, x+n,y+n,z+n, x-n,y+n,z+n,  # front
        x+n,y-n,z-n, x-n,y-n,z-n, x-n,y+n,z-n, x+n,y+n,z-n,  # back
    ]
 
def tex_coord(x, y, n=8):
    # 返回纹理的边界顶点。
    m = 1.0 / n
    dx = x * m
    dy = y * m
    return dx, dy, dx + m, dy, dx + m, dy + m, dx, dy + m
 
 
def tex_coords(top, bottom, side):
    # 返回顶部、底部和侧面的纹理列表。
    top = tex_coord(*top)
    bottom = tex_coord(*bottom)
    side = tex_coord(*side)
    result = []
    result.extend(top)
    result.extend(bottom)
    result.extend(side * 4)
    return result
 
GRASS = tex_coords((1, 0), (0, 1), (0, 0))
SNOW = tex_coords((4, 0), (0, 1), (1, 3))
SAND = tex_coords((1, 1), (1, 1), (1, 1))
DIRT = tex_coords((0, 1), (0, 1), (0, 1))
STONE = tex_coords((2, 0), (2, 0), (2, 0))
ENDSTONE = tex_coords((2, 1), (2, 1), (2, 1))
WATER = tex_coords((0, 4), (0, 4), (0, 4))
ICE = tex_coords((3, 1), (3, 1), (3, 1))
WOOD = tex_coords((0, 2), (0, 2), (3, 0))
LEAF = tex_coords((0, 3), (0, 3), (0, 3))
BRICK = tex_coords((1, 2), (1, 2), (1, 2))
PUMKEY = tex_coords((2, 2), (3, 3), (2, 3))
MELON = tex_coords((2, 4), (2, 4), (1, 4))
CLOUD = tex_coords((3, 2), (3, 2), (3, 2))
TNT = tex_coords((4, 2), (4, 3), (4, 1))
DIMO = tex_coords((3, 4), (3, 4), (3, 4))
IRNO = tex_coords((4, 4), (4, 4), (4, 4))
COAL = tex_coords((5, 0), (5, 0), (5, 0))
GOLDO = tex_coords((5, 1), (5, 1), (5, 1))
 
# 立方体的6个面
FACES = [
    ( 0, 1, 0),
    ( 0,-1, 0),
    (-1, 0, 0),
    ( 1, 0, 0),
    ( 0, 0, 1),
    ( 0, 0,-1),
]
 
random.seed(SEED)
 
 
def normalize(position):
    # 将三维坐标'position'的x、y、z取近似值
    x, y, z = position
    x, y, z = (round(x), round(y), round(z))
    return (x, y, z)
 
 
def sectorize(position):
    x, y, z = normalize(position)
    x, y, z = x // SECTOR_SIZE, y // SECTOR_SIZE, z // SECTOR_SIZE
    return (x, 0, z)
 
 
persistence = round(random.uniform(0.25, 0.45), 6)
Number_Of_Octaves = random.randint(3, 5)
PMAGN = persistence * 16
HAMPL = 8
threads = deque() # 多线程队列
 
@nb.jit(nopython=True, fastmath=True)
def Noise(x, y):
    n = x + y * 57
    n = (n * 8192) ^ n
    return ( 1.0 - ( (n * (n * n * 15731 + 789221) + 1376312589) & 0x7fffffff) / 1073741824.0)
 
@nb.jit(nopython=True, fastmath=True)
def SmoothedNoise(x, y):
    corners = ( Noise(x-1, y-1)+Noise(x+1, y-1)+Noise(x-1, y+1)+Noise(x+1, y+1) ) / 16
    sides = ( Noise(x-1, y) +Noise(x+1, y) +Noise(x, y-1) +Noise(x, y+1) ) / 8
    center = Noise(x, y) / 4
    return corners + sides + center
 
@nb.jit(nopython=True, fastmath=True)
def Cosine_Interpolate(a, b, x):
    ft = x * 3.1415927
    f = (1 - math.cos(ft)) * 0.5
    return a*(1-f) + b*f
 
@nb.jit(nopython=True, fastmath=True)
def Linear_Interpolate(a, b, x):
    return a*(1-x) + b*x
 
def InterpolatedNoise(x, y):
    integer_X = int(x)
    fractional_X = x - integer_X
    integer_Y = int(y)
    fractional_Y = y - integer_Y
    v1 = SmoothedNoise(integer_X, integer_Y)
    v2 = SmoothedNoise(integer_X + 1, integer_Y)
    v3 = SmoothedNoise(integer_X, integer_Y + 1)
    v4 = SmoothedNoise(integer_X + 1, integer_Y + 1)
    i1 = Cosine_Interpolate(v1, v2, fractional_X)
    i2 = Cosine_Interpolate(v3, v4, fractional_X)
    return Cosine_Interpolate(i1, i2, fractional_Y)
 
def PerlinNoise(x, y):
    x = abs(x)
    y = abs(y)
    noise = 0
    p = persistence
    n = Number_Of_Octaves
    for i in range(n):
        frequency = pow(2,i)
        amplitude = pow(p,i)
        noise = noise + InterpolatedNoise(x * frequency, y * frequency) * amplitude
    return noise
 
class mbatch:
    def __init__(self):
        self.batch = {}
 
    def add(self, x, z, *args):
        x = int(x / 64) * 64
        z = int(z / 64) * 64
        if