mirror of https://github.com/mgba-emu/mgba.git
155 lines
4.8 KiB
Python
155 lines
4.8 KiB
Python
import numpy as np
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import PIL.Image
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import PIL.ImageChops
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import sys
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blocksize = 104
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pow = [0] * 256
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rev = [0] * 256
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rev[0] = 0xFF
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x = 1
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for i in range(0xFF):
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pow[i]=x
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rev[x]=i
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x *= 2
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if x >= 0x100:
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x ^= 0x187
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gg = [0] * 16
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gg[0] = pow[0x78]
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for i in range(16):
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gg[i] = 1
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for j in range(i + 1):
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j = i - j
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if j == 0:
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y = 0
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else:
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y = gg[j - 1]
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x = gg[j]
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if x != 0:
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x = rev[x] + 0x78 + i
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if x >= 0xFF:
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x -= 0xFF
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y ^= pow[x]
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gg[j] = y
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for i in range(16):
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gg[i] = rev[gg[i]]
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print(*[hex(x) for x in gg])
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def interleave(data, header):
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data = data.reshape([-1, 48]).T
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new_data = np.zeros((64, data.shape[1]), dtype=data.dtype)
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for i, row in enumerate(data.T):
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new_data[:,i] = rs(row)
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data = new_data.reshape([-1])
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new_data = np.zeros(data.shape[0] + (102 - data.shape[0] % 102), dtype=data.dtype)
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new_data[:data.shape[0]] = data
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new_data = new_data.reshape([-1, 102])
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data = new_data
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new_data = np.zeros((data.shape[0], 104), dtype=data.dtype)
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new_data[:,2:] = data
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for i in range(new_data.shape[0]):
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x = (i * 2) % len(header)
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new_data[i,:2] = header[x:x + 2]
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data = new_data.reshape([-1])
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return data
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def rs(data):
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new_data = np.zeros(data.shape[0] + 16, dtype=data.dtype)
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new_data[:data.shape[0]] = data
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new_data = np.flipud(new_data)
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for i in range(data.shape[0]):
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i = new_data.shape[0] - i - 1
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z = rev[new_data[i] ^ new_data[15]]
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for j in range(16):
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j = 15 - j
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if j == 0:
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x = 0
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else:
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x = new_data[j - 1]
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if z != 0xFF:
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y = gg[j]
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if y != 0xFF:
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y += z
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if y >= 0xFF:
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y -= 0xFF
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x ^= pow[y]
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new_data[j] = x
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new_data[:16] = ~new_data[:16]
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new_data = np.flipud(new_data)
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return new_data
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def bin2raw(data):
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if len(data) == 1344:
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header = np.array([0x00, 0x02, 0x00, 0x01, 0x40, 0x10, 0x00, 0x1C], dtype=np.uint8)
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else:
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header = np.array([0x00, 0x03, 0x00, 0x19, 0x40, 0x10, 0x00, 0x2C], dtype=np.uint8)
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header = rs(header)
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new_data = interleave(np.frombuffer(data, np.uint8), header)
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return new_data.tobytes()
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with open(sys.argv[1], 'rb') as f:
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data = f.read()
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size = len(data)
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if size in (1344, 2112):
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data = bin2raw(data)
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size = len(data)
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with open('dotcode.raw', 'wb') as f:
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f.write(data)
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blocks = size // blocksize
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height = 36
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width = 35
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margin = 2
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dots = np.zeros((width * blocks + margin * 2 + 1, height + margin * 2), dtype=np.bool)
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anchor = np.array([[0, 1, 1, 1, 0],
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[1, 1, 1, 1, 1],
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[1, 1, 1, 1, 1],
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[1, 1, 1, 1, 1],
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[0, 1, 1, 1, 0]], dtype=np.bool)
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alignment = np.array([1, 1, 1, 1, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0], dtype=np.bool)
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nybbles = [[0, 0, 0, 0, 0], [0, 0, 0, 0, 1], [0, 0, 0, 1, 0], [1, 0, 0, 1, 0],
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[0, 0, 1, 0, 0], [0, 0, 1, 0, 1], [0, 0, 1, 1, 0], [1, 0, 1, 1, 0],
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[0, 1, 0, 0, 0], [0, 1, 0, 0, 1], [0, 1, 0, 1, 0], [1, 0, 1, 0, 0],
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[0, 1, 1, 0, 0], [0, 1, 1, 0, 1], [1, 0, 0, 0, 1], [1, 0, 0, 0, 0]]
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addr = [0x03FF]
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for i in range(1, 54):
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addr.append(addr[i - 1] ^ ((i & -i) * 0x769))
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if (i & 0x07) == 0:
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addr[i] ^= 0x769
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if (i & 0x0F) == 0:
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addr[i] ^= 0x769 << 1
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if (i & 0x1F) == 0:
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addr[i] ^= (0x769 << 2) ^ 0x769
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base = 1 if blocks == 18 else 25
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for i in range(blocks + 1):
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dots[i * width:i * width + 5, 0:5] = anchor
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dots[i * width:i * width + 5, height + margin * 2 - 5:height + margin * 2] = anchor
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dots[i * width + margin, margin + 5] = 1
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a = addr[base + i]
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for j in range(16):
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dots[i * width + margin, margin + 14 + j] = a & (1 << (15 - j))
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for i in range(blocks):
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dots[i * width:(i + 1) * width, margin] = alignment
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dots[i * width:(i + 1) * width, height + margin - 1] = alignment
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block = []
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for byte in data[i * blocksize:(i + 1) * blocksize]:
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block.extend(nybbles[byte >> 4])
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block.extend(nybbles[byte & 0xF])
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j = 0
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for y in range(3):
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dots[i * width + margin + 5:i * width + margin + 31, margin + 2 + y] = block[j:j + 26]
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j += 26
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for y in range(26):
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dots[i * width + margin + 1:i * width + margin + 35, margin + 5 + y] = block[j:j + 34]
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j += 34
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for y in range(3):
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dots[i * width + margin + 5:i * width + margin + 31, margin + 31 + y] = block[j:j + 26]
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j += 26
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im = PIL.Image.fromarray(dots.T)
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im = PIL.ImageChops.invert(im)
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im.save('dotcode.png')
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