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# int

Python 3’s `int` type is very similar to Python 2’s `long`, except for the representation (which omits the `L` suffix in Python 2). Python 2’s usual (short) integers have been removed from Python 3, as has the `long` builtin name.

Python 3:

    >>> 2**64
    18446744073709551616

Python 2:

    >>> 2**64
    18446744073709551616L

`future` includes a backport of Python 3’s `int` that is a subclass of Python 2’s `long` with the same representation behaviour as Python 3’s `int`. To ensure an integer is long compatibly with both Py3 and Py2, cast it like this:

    >>> from builtins import int
    >>> must_be_a_long_integer = int(1234)

The backported `int` object helps with writing doctests and simplifies code that deals with `long` and `int` as special cases on Py2. An example is the following code from `xlwt-future` (called by the `xlwt.antlr.BitSet` class) for writing out Excel `.xls` spreadsheets. With `future`, the code is:

    from builtins import int

    def longify(data):
        """
        Turns data (an int or long, or a list of ints or longs) into a
        list of longs.
        """
        if not data:
            return [int(0)]
        if not isinstance(data, list):
            return [int(data)]
        return list(map(int, data))

Without `future` (or with `future` < 0.7), this might be:

    def longify(data):
        """
        Turns data (an int or long, or a list of ints or longs) into a
        list of longs.
        """
        if not data:
            if PY3:
                return [0]
            else:
                return [long(0)]
        if not isinstance(data,list):
            if PY3:
                return [int(data)]
            else:
                return [long(data)]
        if PY3:
            return list(map(int, data))   # same as returning data, but with up-front typechecking
        else:
            return list(map(long, data))

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