{'fraction_non_alphanumeric': 0.017543859649122806, 'fraction_numerical': 0.008771929824561403, 'mean_word_length': 4.784810126582278, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
On the cost of worst case coding length constraints

We investigate the redundancy that arises from adding a worst case length constraint to uniquely decodable fixed-to-variable codes over achievable Huffman (1952) codes. This is in contrast to the traditional metric of the redundancy over the entropy. We show that the cost for adding constraints on the worst case coding length is small, and that the resulting bound is related to the Fibonacci numbers.