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Huffman coding is a lossless data compression method based on information theory. Its primary objective is to represent frequently occurring symbols with shorter binary codes and less frequent symbols with longer binary codes, taking into account the frequency of symbols in the data. This reduces the average code length and thereby achieves overall data size reduction. Huffman coding also provides a reliable structure for decodability due to its prefix property, which ensures that no code is the