Discipline Zerozip Direct

import struct

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):]

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

# 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:] discipline zerozip

def decompress(self, compressed_data): decompressed_data = bytearray()

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

# Decompress the data decompressed_data = discipline_zerozip.decompress(compressed_data) import struct if block_type == 0: # Zero-filled

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

return bytes(compressed_data)

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 offers a simple, yet efficient approach

def _decompress_non_zero_block(self, compressed_block): decompressed_block = bytearray() i = 0 while i < len(compressed_block): count = struct.unpack_from('B', compressed_block, offset=i)[0] i += 1 byte = compressed_block[i] i += 1 decompressed_block.extend(bytes([byte]) * count) return bytes(decompressed_block) This implementation provides a basic example of the Discipline Zerozip algorithm. You may need to modify it to suit your specific use case. Discipline Zerozip offers a simple, yet efficient approach to lossless data compression. By leveraging zero-filled data blocks and RLE compression, it achieves competitive compression ratios with existing algorithms. The provided implementation demonstrates the algorithm's feasibility and can be used as a starting point for further development and optimization.

def compress(self, data): compressed_data = bytearray()

# Compress the data using Discipline Zerozip compressed_data = discipline_zerozip.compress(data)

# Detect zero-filled blocks if self._is_zero_filled(block): compressed_data.extend(self._compress_zero_block(block)) else: compressed_data.extend(self._compress_non_zero_block(block))

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