icon transformations

transform_icon.py

import numpy as np
import sys, os

# tab length
tab = 4

# create icons from input file
with open('fills.txt', 'r') as f:
    bigstr = f.read()[:-1]
    rows = filCols = bigstr.split('\n\n')
    rows = [row.split('\n') for row in rows]
    bitmap = np.array(rows, dtype=object)
    up, down = tuple([np.rot90(bitmap, i) for i in [1,3]]) # rotation matrices
    left = np.fliplr(bitmap)                               # reflection matrix

# write icons to output file
string = ''
with open('icons.asm', 'w') as f:
    for label, bmap, index in zip(['CAR_RIGHT', 'CAR_UP', 'CAR_LEFT', 'CAR_DOWN'],
                                  [bitmap, up, left, down], range(4)):
        
        string += label + '    '           # label next car icon
        bmapl = bmap.flatten()             # don't need array structure anymore
        pixel_rows = [bmapl[x:x+8]         # split into pixel rows (just bc)
                      for x in range(0, len(bmapl),8)]
        for row in pixel_rows:             # write each row of pixels to string
            for fill in row:
                string += ' ' * (len(label) + tab) # indent nicely
                string += (fill + '\n')          # actual fill
            string += '\n'
        string += '\n'
        # remove extra spaces after label
        end_of_label = string.find(label) + len(label)
        string = string[:end_of_label] + string[end_of_label+len(label)+tab:]
    # sanity check
    print(string)

    f.write(string)

Icon Transformations ( Try Online! )

because nobody likes copy-pasting!

• input: fills.txt (car icon without label or origins)
• output: icon.asm (all icons as labeled sets of .FILLs)
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