import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
n = input()
m = input()
def getModel(dt , d , delt):
    grid = np.zeros((n , m))
    for i in range(0 , m):
        grid[0][i] = grid[n-1][i] = 100
    for i in range(1 , n - 1):
        grid[i][0] = 10
        grid[i][m-1] = 10
    t = 0
   # print grid
    while(t < 10):
        tend = np.array((n , m))
        tend = grid
        for i in range(1 , n-1):
            for j in range(1 , m -1):
                tend[i][j] = grid[i][j]+ (dt*d/delt/delt)*(grid[i + 1][j] + grid[i - 1][j] + grid[i][j + 1]+grid[i][j-1]-4*grid[i][j])
        t += dt
        #nexbin(grid)
        def update(i):
            matrice.set_array(grid)

        fig, ax = plt.subplots()
        matrice = ax.matshow(grid)
        plt.colorbar(matrice)

        animation.FuncAnimation(fig, update)
        plt.show()
        grid = tend
    #plt.show(block=True)

getModel(0.01,30,1)