# Preprocess the data into fixed-size blocks for i in range(0, len(data), self.block_size): block = data[i:i + self.block_size]

return bytes(decompressed_data)

import 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:]

assert data == decompressed_data The Discipline Zerozip algorithm can be implemented in a variety of programming languages. Here is a sample implementation in Python:

class DisciplineZerozip: def __init__(self, block_size=4096): self.block_size = block_size

def _is_zero_filled(self, block): return all(byte == 0 for byte in block)

# Sample data with zero-filled blocks data = b'\x00\x00\x00\x00\x00\x00\x00\x00' * 1024 + b'Hello, World!' + b'\x00\x00\x00\x00\x00\x00\x00\x00' * 512

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