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https://github.com/yt-dlp/yt-dlp.git
synced 2024-11-27 06:10:12 +01:00
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commit
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@ -178,7 +178,7 @@ def aes_encrypt(data, expanded_key):
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data = sub_bytes(data)
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data = shift_rows(data)
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if i != rounds:
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data = mix_columns(data)
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data = list(iter_mix_columns(data, MIX_COLUMN_MATRIX))
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data = xor(data, expanded_key[i * BLOCK_SIZE_BYTES: (i + 1) * BLOCK_SIZE_BYTES])
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return data
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@ -197,7 +197,7 @@ def aes_decrypt(data, expanded_key):
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for i in range(rounds, 0, -1):
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data = xor(data, expanded_key[i * BLOCK_SIZE_BYTES: (i + 1) * BLOCK_SIZE_BYTES])
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if i != rounds:
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data = mix_columns_inv(data)
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data = list(iter_mix_columns(data, MIX_COLUMN_MATRIX_INV))
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data = shift_rows_inv(data)
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data = sub_bytes_inv(data)
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data = xor(data, expanded_key[:BLOCK_SIZE_BYTES])
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@ -375,49 +375,23 @@ def xor(data1, data2):
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return [x ^ y for x, y in zip(data1, data2)]
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def rijndael_mul(a, b):
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if a == 0 or b == 0:
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return 0
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return RIJNDAEL_EXP_TABLE[(RIJNDAEL_LOG_TABLE[a] + RIJNDAEL_LOG_TABLE[b]) % 0xFF]
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def mix_column(data, matrix):
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data_mixed = []
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for row in range(4):
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mixed = 0
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for column in range(4):
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# xor is (+) and (-)
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mixed ^= rijndael_mul(data[column], matrix[row][column])
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data_mixed.append(mixed)
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return data_mixed
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def mix_columns(data, matrix=MIX_COLUMN_MATRIX):
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data_mixed = []
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for i in range(4):
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column = data[i * 4: (i + 1) * 4]
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data_mixed += mix_column(column, matrix)
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return data_mixed
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def mix_columns_inv(data):
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return mix_columns(data, MIX_COLUMN_MATRIX_INV)
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def iter_mix_columns(data, matrix):
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for i in (0, 4, 8, 12):
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for row in matrix:
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mixed = 0
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for j in range(4):
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# xor is (+) and (-)
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mixed ^= (0 if data[i:i + 4][j] == 0 or row[j] == 0 else
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RIJNDAEL_EXP_TABLE[(RIJNDAEL_LOG_TABLE[data[i + j]] + RIJNDAEL_LOG_TABLE[row[j]]) % 0xFF])
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yield mixed
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def shift_rows(data):
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data_shifted = []
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for column in range(4):
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for row in range(4):
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data_shifted.append(data[((column + row) & 0b11) * 4 + row])
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return data_shifted
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return [data[((column + row) & 0b11) * 4 + row] for column in range(4) for row in range(4)]
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def shift_rows_inv(data):
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data_shifted = []
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for column in range(4):
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for row in range(4):
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data_shifted.append(data[((column - row) & 0b11) * 4 + row])
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return data_shifted
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return [data[((column - row) & 0b11) * 4 + row] for column in range(4) for row in range(4)]
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def shift_block(data):
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