jarray broken in Jython 2.7.0?

TL;DR I need a way to convert str type into a Java array of bytes type, jarray used to be the way to do this with all previous versions of Jython before 2.7.

I'm seeing a change in behavior in Jython 2.7.0 compared with Jython 2.5.3 related to jarray and bytes.

    Jython 2.5.3 (2.5:c56500f08d34+, Aug 13 2012, 14:48:36)
    [Java HotSpot(TM) 64-Bit Server VM (Oracle Corporation)] on java1.7.0_67
    Type "help", "copyright", "credits" or "license" for more information.
    >>> import jarray
    >>> sval = 'a string'
    >>> print type(sval)
    <type 'str'>
    >>> x = jarray.array(sval, 'b')
    >>>

Above works fine.

    Jython 2.7.0 (default:9987c746f838, Apr 29 2015, 02:25:11)
    [Java HotSpot(TM) 64-Bit Server VM (Oracle Corporation)] on java1.7.0_67
    Type "help", "copyright", "credits" or "license" for more information.
    >>> import jarray
    >>> sval = 'a string'
    >>> print type(sval)
    <type 'str'>
    >>> x = jarray.array(sval, 'b')
    Traceback (most recent call last):
      File "<stdin>", line 1, in <module>
    TypeError: Type not compatible with array type

Above fails :-(

I can't see anything in the docs about this. There is the new bytearray support in Jython 2.7.0 which appears to work for the above example:

    >>> x = jarray.array(bytearray(sval), 'b')

But this doesn't really work once things get more complicated.

    >>> sval = ''.join([chr(z) for z in range(0xff + 1)])
    >>> x = jarray.array(bytearray(sval), 'b')
    Traceback (most recent call last):
      File "<stdin>", line 1, in <module>
    OverflowError: value too large for byte

I don't even know what too large might mean, it seems to be a problem with values above 128.

This is preventing blob/binary support from working in jyjdbc (https://bitbucket.org/clach04/jyjdbc/) with Jython 2.7.0, binary works fine in Jython 2.2 and 2.5.3.

Thanks,

Chris


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