structured array issue
cycomanic opened this issue · 1 comments
cycomanic commented
if I try to pack/unpack the following structured array I get ValueError. I saw some tests on structured arrays in the code, so I assume they work (maybe it's because I have an array inside the structured array?).
In [10]: x=np.array([(1, 2.3, np.arange(10.))], dtype=[('num', np.int32), ('flo', np.float64), ('arr', np.float64, (10))])
In [11]: s=msgpack.packb(x)
In [12]: o=msgpack.unpackb(s)
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-12-f6dc2c41c01d> in <module>()
----> 1 o=msgpack.unpackb(s)
/home/jschrod/.local/lib/python3.5/site-packages/msgpack_numpy.py in unpackb(packed, object_hook, encoding, **kwargs)
185
186 kwargs['object_hook'] = object_hook
--> 187 return _unpacker.unpackb(packed, encoding=encoding, **kwargs)
188
189 load = unpack
msgpack/_unpacker.pyx in msgpack._unpacker.unpackb (msgpack/_unpacker.cpp:2068)()
/home/jschrod/.local/lib/python3.5/site-packages/msgpack_numpy.py in decode(obj)
82 descr = obj[b'type']
83 return np.fromstring(obj[b'data'],
---> 84 dtype=np.dtype(descr)).reshape(obj[b'shape'])
85 else:
86 descr = obj[b'type']
ValueError: invalid shape in fixed-type tuple.
lebedov commented
Fixed on GitHub.