AKA Byte Pair Encoding. Learns a vocab and byte pair encoding for provided white-space separated text. Recommend using huggingface/tokenizers for production use-cases.
$ python3 -m pip install --user bpefrom bpe import Encoder
test_corpus = '''
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'''
encoder = Encoder(200, pct_bpe=0.88) # params chosen for demonstration purposes
encoder.fit(test_corpus.split('\n'))
example = "Vizzini: He didn't fall? INCONCEIVABLE!"
print(encoder.tokenize(example))
# ['__sow', 'vi', 'z', 'zi', 'ni', '__eow', '__sow', ':', '__eow', 'he', 'didn', "'", 't', 'fall', '__sow', '?', '__eow', '__sow', 'in', 'co', 'n', 'ce', 'iv', 'ab', 'le', '__eow', '__sow', '!', '__eow']
print(next(encoder.transform([example])))
# [24, 108, 82, 83, 71, 25, 24, 154, 25, 14, 10, 11, 12, 13, 24, 85, 25, 24, 140, 59, 39, 157, 87, 165, 114, 25, 24, 148, 25]
print(next(encoder.inverse_transform(encoder.transform([example]))))
# vizzini : he didn ' t fall ? inconceivable !