if block_type == 0: # Zero-filled block block_size = struct.unpack_from('H', compressed_data)[0] compressed_data = compressed_data[2:] decompressed_data.extend(bytes([0]) * block_size) else: # Non-zero-filled block block = self._decompress_non_zero_block(compressed_data) decompressed_data.extend(block) compressed_data = compressed_data[len(block):]
assert data == decompressed_data The Discipline Zerozip algorithm can be implemented in a variety of programming languages. Here is a sample implementation in Python: discipline zerozip
# Iterate through the compressed data while len(compressed_data) > 0: # Read the block type (zero-filled or non-zero-filled) block_type = struct.unpack_from('B', compressed_data)[0] compressed_data = compressed_data[1:] if block_type == 0: # Zero-filled block block_size = struct
def _compress_non_zero_block(self, block): # Compress the non-zero-filled block using RLE and entropy coding compressed_block = bytearray() i = 0 while i < len(block): count = 1 while i + 1 < len(block) and block[i] == block[i + 1]: i += 1 count += 1 compressed_block.extend(struct.pack('B', count)) compressed_block.extend(bytes([block[i]])) i += 1 return bytes(compressed_block) discipline zerozip
import struct
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