Why does Huffman coding, used to encode text files, perform poorly when the input file consists of repeating two-byte sequences?

💡 Explanation

Huffman coding relies on variable-length encoding optimized for frequency; when only a few repeating sequences dominate, the constructed code tree becomes less efficient because of the nearly uniform symbol distribution. Therefore, compression suffers because there's little statistical advantage to exploit, rather than with inadequate entropy measurement or buffer issues.

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