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src/p/r/Products.BigramSplitter-1.0/Products/BigramSplitter/BigramSplitter.py   Products.BigramSplitter(Download)
    """
    normalized = unicodedata.normalize('NFKC', uni)
    for word in rx_U.findall(normalized):
        swords = [g.group() for g in pattern.finditer(word)]
        for sword in swords: