structure_graphs/yong_brainsim_randomization.ipynb

Yong (永) Brainsim¶

Tribute to BRAINSIM, a neural network on the Commodore 64

My discussion (with @nickm) on BRAINSIM can be found in the archive of the Critical Code Studies Working Group 2022: https://wg.criticalcodestudies.com/index.php?p=/discussion/117/brainsim-neural-network-on-a-commodore-64-2022-code-critique#latest

In [160]:

import numpy as np

In [161]:

# a representation of "永" in matrix notation
yong_grid = [[0,0,0,0,1,1,0,0,0,0],
             [0,0,1,1,1,1,0,0,1,0],
             [0,0,0,0,0,1,0,1,0,0],
             [0,0,0,0,0,1,1,0,0,0],
             [0,1,1,1,1,1,1,0,0,0],
             [0,0,0,1,0,1,1,0,0,0],
             [0,0,1,0,0,1,0,1,0,0],
             [0,1,0,0,0,1,0,0,1,0],
             [0,0,0,1,0,1,0,0,0,0],
             [0,0,0,0,1,1,0,0,0,0]]

In [162]:

print(np.matrix(yong_grid))

[[0 0 0 0 1 1 0 0 0 0]
 [0 0 1 1 1 1 0 0 1 0]
 [0 0 0 0 0 1 0 1 0 0]
 [0 0 0 0 0 1 1 0 0 0]
 [0 1 1 1 1 1 1 0 0 0]
 [0 0 0 1 0 1 1 0 0 0]
 [0 0 1 0 0 1 0 1 0 0]
 [0 1 0 0 0 1 0 0 1 0]
 [0 0 0 1 0 1 0 0 0 0]
 [0 0 0 0 1 1 0 0 0 0]]

In [163]:

from matplotlib import pyplot as plt
im = plt.imshow(yong_grid, cmap="copper_r")
plt.show()

In [164]:

import seaborn as sns; sns.set()
ax = sns.heatmap(yong_grid, annot=True, fmt="d")
plt.show()

In [165]:

# access item in matrix
# notation is [column][row]
print(yong_grid[0][4])
print(yong_grid[0][5])

1
1

In [166]:

twenty_p_one = [1,1,0,0,0,0,0,0,0,0]
twenty_p_zero = [0,0,1,1,1,1,1,1,1,1]

In [167]:

import random
import math
z_count = 0
one_count = 0
import math
for i in range(10):
    for j in range(10):
        if yong_grid[i][j] == 0:
            # reassign
            yong_grid[i][j] = random.choice(twenty_p_one)  
        else:
            yong_grid[i][j] = random.choice(twenty_p_zero)         

In [168]:

ax = sns.heatmap(yong_grid, annot=True, fmt="d")

In [169]:

# lists for 5%, 10% and 15% randomization
five_p_one = [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
five_p_zero = [0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1]
ten_p_one = [1,0,0,0,0,0,0,0,0,0]
ten_p_zero = [0,1,1,1,1,1,1,1,1,1]
fifteen_p_one = [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
fifteen_p_zero = [0,1,1,1,1,1,1,1,1,1,1,1,1,1,1]

In [170]:

# random image generator
# generate heatmap and save in folder 
def randImg(list_zero, list_one):
    z_count = 0
    one_count = 0
    for i in range(10):
        for j in range(10):
            if yong_grid[i][j] == 0:
                yong_grid[i][j] = random.choice(list_zero)  
            else:
                yong_grid[i][j] = random.choice(list_one) 
    ax = sns.heatmap(yong_grid, annot=True, fmt="d")
    # clear randomization; reassign var yong_grid hold values of original text input matrix

In [171]:

# call function with 5%
# clear randomization; reassign var yong_grid hold values of original text input matrix
yong_grid = [[0,0,0,0,1,1,0,0,0,0],
             [0,0,1,1,1,1,0,0,1,0],
             [0,0,0,0,0,1,0,1,0,0],
             [0,0,0,0,0,1,1,0,0,0],
             [0,1,1,1,1,1,1,0,0,0],
             [0,0,0,1,0,1,1,0,0,0],
             [0,0,1,0,0,1,0,1,0,0],
             [0,1,0,0,0,1,0,0,1,0],
             [0,0,0,1,0,1,0,0,0,0],
             [0,0,0,0,1,1,0,0,0,0]]
randImg(five_p_zero, five_p_one)

In [172]:

# call function with 10%
yong_grid = [[0,0,0,0,1,1,0,0,0,0],
             [0,0,1,1,1,1,0,0,1,0],
             [0,0,0,0,0,1,0,1,0,0],
             [0,0,0,0,0,1,1,0,0,0],
             [0,1,1,1,1,1,1,0,0,0],
             [0,0,0,1,0,1,1,0,0,0],
             [0,0,1,0,0,1,0,1,0,0],
             [0,1,0,0,0,1,0,0,1,0],
             [0,0,0,1,0,1,0,0,0,0],
             [0,0,0,0,1,1,0,0,0,0]]
randImg(ten_p_zero, ten_p_one)

In [173]:

# fifteen percent
yong_grid = [[0,0,0,0,1,1,0,0,0,0],
             [0,0,1,1,1,1,0,0,1,0],
             [0,0,0,0,0,1,0,1,0,0],
             [0,0,0,0,0,1,1,0,0,0],
             [0,1,1,1,1,1,1,0,0,0],
             [0,0,0,1,0,1,1,0,0,0],
             [0,0,1,0,0,1,0,1,0,0],
             [0,1,0,0,0,1,0,0,1,0],
             [0,0,0,1,0,1,0,0,0,0],
             [0,0,0,0,1,1,0,0,0,0]]
randImg(fifteen_p_zero, fifteen_p_one)

In [ ]:

# TODO
# clear randomization; reassign var yong_grid hold values of original text input matrix
# add annotation to specify level of randomization 
# run 100 times and save pictures