Pythons-NFT-Script

# module imports import random import numpy as np # universal colors bg = (255, 255, 255) # background color 'white' ln = (0, 0, 0) # line color 'black' tg = (255, 0, 127) # tongue color 'red' variant # Random face color applying to all table values. Starting with 50 range value produces brighter colors rf = random.randint(50, 255) gf = random.randint(50, 255) bf = random.randint(50, 255) face_random = [rf, gf, bf] ce = face_random # Random body color based on RGB value range rb = random.randint(0, 255) gb = random.randint(0, 255) bb = random.randint(0, 255) body_random = [rb, gb, bb] dy = body_random # Define random eye colors if rolled re1 = random.randint(100, 255) ge1 = random.randint(100, 255) be1 = random.randint(100, 255) eye1_random = [re1, ge1, be1] re2 = random.randint(50, 255) ge2 = random.randint(50, 255) be2 = random.randint(50, 255) eye2_random = [re2, ge2, be2] re3 = random.randint(0, 255) ge3 = random.randint(0, 255) be3 = random.randint(0, 255) eye3_random = [re3, ge3, be3] # define random Snake Skin colors if rolled rss = random.randint(0, 255) gss = random.randint(0, 255) bss = random.randint(0, 255) snakeskin_random = [rss, gss, bss] # chance for Hypnotize roll for h in range(100): h = random.randint(0, 100) # Random number greater or equal to 95 generates Hypnotize if h >= 95: ey1 = eye1_random ey2 = eye2_random ey3 = eye3_random else: # If unlucky, Reassign randomized eyes to RGB White ey1 = (255, 255, 255) ey2 = (255, 255, 255) ey3 = (255, 255, 255) # chance for Snake Skin roll for s in range(100): s = random.randint(0, 100) # Random number greater or equal to 95 generates Snake Skin if s >= 95: bb = snakeskin_random else: # if unlucky bb values stay random body values defined above bb = dy # chance for Fang roll for f in range(100): f = random.randint(0, 100) # random number greater or equal to 92 generates Fangs if f >= 92: fa = (255, 255, 255) # Fangs RGB value 'White' else: # if unlucky fa values stay random body values defined above fa = dy # value array tables where Pythons are drawn with pixel value tied to "x" input # garter type array table values array_1 = np.array([ [bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg], # 1 [bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg], # 2 [bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg], # 3 [bg, bg, bg, bg, bg, bg, bg, ln, ln, ln, ln, bg, bg, ln, ln, ln, bg, bg, bg, bg, bg, bg, bg, bg], # 4 [bg, bg, bg, bg, bg, bg, ln, ce, ey1, ey2, ey1, ln, ln, ey3, ey2, ey3, ln, bg, bg, bg, bg, bg, bg, bg], # 5 [bg, bg, bg, bg, bg, ln, ce, ce, ey2, ey3, ln, ce, ce, ey2, ey1, ln, ce, ln, bg, bg, bg, bg, bg, bg], # 6 [bg, bg, bg, bg, bg, ln, dy, ce, ey3, ey2, ln, ce, ce, ey1, ey3, ln, ce, ce, ln, bg, bg, bg, bg, bg], # 7 [bg, bg, bg, bg, bg, ln, dy, ce, ce, ce, ce, ce, ce, ce, ce, ce, ce, ce, ln, bg, bg, bg, bg, bg], # 8 [bg, bg, bg, bg, bg, ln, dy, ce, ce, ce, ce, ce, ce, ce, ce, ce, ce, dy, ln, bg, bg, bg, bg, bg], # 9 [bg, bg, bg, bg, bg, ln, dy, dy, ce, ce, ce, ce, ce, ce, ce, ce, ce, dy, ln, bg, bg, bg, bg, bg], # 10 [bg, bg, bg, bg, bg, bg, ln, ln, dy, ce, ce, ce, ce, ce, ce, dy, ln, ln, bg, bg, bg, bg, bg, bg], # 11 [bg, bg, bg, bg, bg, bg, bg, ln, dy, ce, ce, ce, ce, ce, ce, dy, ln, bg, bg, bg, bg, bg, bg, bg], # 12 [bg, bg, bg, bg, bg, bg, bg, ln, dy, dy, ce, ln, dy, ln, ce, dy, ln, bg, bg, bg, bg, bg, bg, bg], # 13 [bg, bg, bg, bg, bg, bg, bg, bg, ln, dy, dy, dy, dy, dy, dy, ln, bg, bg, bg, bg, bg, bg, bg, bg], # 14 [bg, bg, bg, bg, bg, bg, bg, bg, ln, ln, ln, ln, tg, ln, ln, ln, bg, bg, bg, bg, bg, bg, bg, bg], # 15 [bg, bg, bg, bg, bg, bg, bg, bg, ln, ce, fa, dy, tg, fa, ce, ln, bg, bg, bg, bg, bg, bg, bg, bg], # 16 [bg, bg, bg, bg, bg, bg, bg, bg, ln, ce, dy, tg, tg, dy, ce, ln, bg, bg, bg, bg, bg, bg, bg, bg], # 17 [bg, bg, bg, bg, bg, bg, bg, bg, ln, ce, bb, tg, bb, bb, ce, ln, bg, bg, bg, bg, bg, bg, bg, bg], # 18 [bg, bg, bg, bg, bg, bg, bg, bg, ln, ce, dy, dy, dy, dy, ce, ln, bg, bg, bg, bg, bg, bg, bg, bg], # 19 [bg, bg, bg, bg, bg, bg, bg, bg, ln, ce, bb, bb, bb, bb, ce, ln, bg, bg, bg, bg, bg, bg, bg, bg], # 20 [bg, bg, bg, bg, bg, bg, bg, bg, ln, ce, dy, dy, dy, dy, ce, ln, bg, bg, bg, bg, bg, bg, bg, bg], # 21 [bg, bg, bg, bg, bg, bg, bg, bg, ln, ce, bb, bb, bb, bb, ce, ln, bg, bg, bg, bg, bg, bg, bg, bg], # 22 [bg, bg, bg, bg, bg, bg, bg, bg, ln, ce, dy, dy, dy, dy, ce, ln, bg, bg, bg, bg, bg, bg, bg, bg], # 23 [bg, bg, bg, bg, bg, bg, bg, bg, ln, ce, bb, bb, bb, bb, ce, ln, bg, bg, bg, bg, bg, bg, bg, bg]]) # 24 # rattler type array table values array_2 =np.array([ [bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg], # 1 [bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg], # 2 [bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg], # 3 [bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg], # 4 [bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg], # 5 [bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg], # 6 [bg, bg, bg, bg, bg, ln, ln, ln, ln, ln, ln, ln, ln, ln, ln, ln, ln, ln, bg, bg, bg, bg, bg, bg], # 7 [bg, bg, bg, bg, ln, ce, ce, ce, ce, ce, ce, ce, ce, ce, ce, ce, ce, ce, ln, bg, bg, bg, bg, bg], # 8 [bg, bg, bg, ln, ce, ce, ce, ce, ce, ce, ce, ce, ce, ce, ce, ce, ce, ce, ce, ln, bg, bg, bg, bg], # 9 [bg, bg, bg, ln, ce, ce, bb, dy, bb, ln, ln, ln, ce, ce, ce, ce, ce, ce, ce, ln, bg, bg, bg, bg], # 10 [bg, bg, bg, ln, ce, bb, dy, bb, ln, ce, ce, ce, ce, ce, ce, ce, ce, ce, ce, ln, bg, bg, bg, bg], # 11 [bg, bg, bg, ln, ln, ln, ln, ln, ln, ln, ln, ln, ln, ce, ce, ce, ce, ce, ce, ln, bg, bg, bg, bg], # 12 [bg, bg, ln, ce, ce, ce, ce, ce, ce, ce, ce, ce, ce, ln, ce, ce, ln, ln, ln, bg, bg, bg, bg, bg], # 13 [bg, bg, ln, bb, ce, ey1, ey2, ce, ce, ce, ey3, ey1, ce, ln, ln, ln, bg, bg, bg, bg, bg, bg, bg, bg], # 14 [bg, bg, ln, dy, ce, ey3, ln, ce, ce, ce, ey2, ln, ce, ln, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg], # 15 [bg, bg, ln, bb, ce, ce, ce, ce, ce, ce, ce, ce, ce, ln, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg], # 16 [bg, bg, bg, ln, bb, dy, ce, ce, ce, bb, ce, ce, bb, ln, bg, bg, bg, bg, ln, bg, bg, bg, bg, bg], # 17 [bg, bg, bg, ln, ln, bb, dy, bb, ln, dy, ln, bb, ln, bg, bg, bg, bg, ln, bb, ln, bg, bg, bg, bg], # 18 [bg, bg, bg, ln, ce, ln, ln, ln, ln, ln, ln, ln, bg, bg, bg, bg, bg, ln, dy, ln, bg, bg, bg, bg], # 19 [bg, bg, bg, ln, ce, bb, fa, bb, bb, fa, ln, bg, bg, bg, bg, bg, bg, ln, tg, ln, bg, bg, bg, bg], # 20 [bg, bg, bg, ln, ce, fa, dy, bb, fa, bb, ln, bg, bg, bg, bg, bg, bg, ln, dy, ln, bg, bg, bg, bg], # 21 [bg, bg, bg, ln, ce, dy, bb, bb, dy, dy, bb, ln, bg, bg, bg, bg, ln, dy, bb, ln, bg, bg, bg, bg], # 22 [bg, bg, bg, ln, ce, bb, dy, dy, bb, dy, dy, ln, bg, bg, bg, bg, ln, tg, tg, ln, bg, bg, bg, bg], # 23 [bg, bg, bg, ln, ce, dy, bb, dy, dy, bb, bb, ln, bg, bg, bg, ln, bb, dy, ln, bg, bg, bg, bg, bg]]) # 24 # cobra type array table values array_3 = np.array([ [bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg, bg], # 1 [bg, bg, bg, bg,