要求

1. numpy的

：用于2D阵列（矩阵）操作。

1. matplotlib

：用于更新模拟或简单的单词以使东西移动。

1. argparse

：在代码中传递命令行参数。

# Python code to implement Conway's Game Of Life

import argparse

import numpy as np

import matplotlib.pyplot as plt 

import matplotlib.animation as animation

# setting up the values for the grid

ON = 255

OFF = 0

vals = [ON, OFF]

def randomGrid(N):

"""returns a grid of NxN random values"""

return np.random.choice(vals, N*N, p=[0.2, 0.8]).reshape(N, N)

def addGlider(i, j, grid):

"""adds a glider with top left cell at (i, j)"""

glider = np.array([[0,    0, 255], 

[255,  0, 255], 

[0,  255, 255]])

grid[i:i+3, j:j+3] = glider

def addGosperGliderGun(i, j, grid):

"""adds a Gosper Glider Gun with top left

cell at (i, j)"""

gun = np.zeros(11*38).reshape(11, 38)

gun[5][1] = gun[5][2] = 255

gun[6][1] = gun[6][2] = 255

gun[3][13] = gun[3][14] = 255

gun[4][12] = gun[4][16] = 255

gun[5][11] = gun[5][17] = 255

gun[6][11] = gun[6][15] = gun[6][17] = gun[6][18] = 255

gun[7][11] = gun[7][17] = 255

gun[8][12] = gun[8][16] = 255

gun[9][13] = gun[9][14] = 255

gun[1][25] = 255

gun[2][23] = gun[2][25] = 255

gun[3][21] = gun[3][22] = 255

gun[4][21] = gun[4][22] = 255

gun[5][21] = gun[5][22] = 255

gun[6][23] = gun[6][25] = 255

gun[7][25] = 255

gun[3][35] = gun[3][36] = 255

gun[4][35] = gun[4][36] = 255

grid[i:i+11, j:j+38] = gun

def update(frameNum, img, grid, N):

# copy grid since we require 8 neighbors 

# for calculation and we go line by line 

newGrid = grid.copy()

for i in range(N):

for j in range(N):

# compute 8-neghbor sum

# using toroidal boundary conditions - x and y wrap around 

# so that the simulaton takes place on a toroidal surface.

total = int((grid[i, (j-1)%N] + grid[i, (j+1)%N] +

grid[(i-1)%N, j] + grid[(i+1)%N, j] +

grid[(i-1)%N, (j-1)%N] + grid[(i-1)%N, (j+1)%N] +

grid[(i+1)%N, (j-1)%N] + grid[(i+1)%N, (j+1)%N])/255)

# apply Conway's rules

if grid[i, j]  == ON:

if (total < 2) or (total > 3):

newGrid[i, j] = OFF

else:

if total == 3:

newGrid[i, j] = ON