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generate_tokens(readline) is a generator that breaks a stream of
text into Python tokens.  It accepts a readline-like method which is called
repeatedly to get the next line of input (or "" for EOF).  It generates
5-tuples with these members:

    the token type (see token.py)
    the token (a string)
    the starting (row, column) indices of the token (a 2-tuple of ints)
    the ending (row, column) indices of the token (a 2-tuple of ints)
    the original line (string)

It is designed to match the working of the Python tokenizer exactly, except
that it produces COMMENT tokens for comments and gives type OP for all
operators

Older entry points
    tokenize_loop(readline, tokeneater)
    tokenize(readline, tokeneater=printtoken)
are the same, except instead of generating tokens, tokeneater is a callback
function to which the 5 fields described above are passed as 5 arguments,
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    Each call to the function should return one line of input as a string.

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    The detect_encoding() function is used to detect the encoding that should
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    It will call readline a maximum of twice, and return the encoding used
    (as a string) and a list of any lines (left as bytes) it has read
    in.

    It detects the encoding from the presence of a utf-8 bom or an encoding
    cookie as specified in pep-0263. If both a bom and a cookie are present, but
    disagree, a SyntaxError will be raised. If the encoding cookie is an invalid
    charset, raise a SyntaxError.  Note that if a utf-8 bom is found,
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        Untokenized source will match input source exactly

    Round-trip invariant for limited input:
        # Output text will tokenize the back to the input
        t1 = [tok[:2] for tok in generate_tokens(f.readline)]
        newcode = untokenize(t1)
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        readline = open(myfile).next    # Example of alternate readline

    The generator produces 5-tuples with these members: the token type; the
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    column where the token begins in the source; a 2-tuple (erow, ecol) of
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