Hi!
I have a problem with record array type descriptor.
With numarray this used to work.
My records made of n integers and m floats. So I used to be able specify
formats="%di4,%df4"%(self.numInts,self.numFloats) in numarray which would
translate to
byteorder = self.isByteSwapped and '>' or '<'
type_descr = [("int", "%s%di4" %(byteorder,self.numInts)),
("float", "%s%df4" %(byteorder,self.numFloats))]
The problem occurs when numInts or numFloats is zero !?
Could it numpy be changed to silectly accept this case
Here is the complete traceback + some debug info:
'>0i4'Traceback (most recent call last):
File "<stdin>", line 1, in ?
File "/home/haase/PrLinN/Priithon/Mrc.py", line 56, in bindFile
a = Mrc(fn, mode)
File "/home/haase/PrLinN/Priithon/Mrc.py", line 204, in __init__
self.doExtHdrMap()
File "/home/haase/PrLinN/Priithon/Mrc.py", line 271, in doExtHdrMap
self.extHdrArray.dtype = type_descr
File "/home/haase/qqq/lib/python/numpy/core/records.py", line 194, in
__setattr__
return object.__setattr__(self, attr, val)
TypeError: invalid data-type for array
>>> U.debug()
> /home/haase/qqq/lib/python/numpy/core/records.py(196)__setattr__()
-> pass
(Pdb) l
191
192 def __setattr__(self, attr, val):
193 try:
194 return object.__setattr__(self, attr, val)
195 except AttributeError: # Must be a fieldname
196 -> pass
197 fielddict = sb.ndarray.__getattribute__(self,'dtype').fields
198 try:
199 res = fielddict[attr][:2]
200 except (TypeError,KeyError):
201 raise AttributeError, "record array has no attribute %s" %
attr
(Pdb) p val
[('int', '>0i4'), ('float', '>2f4')]
(Pdb) p attr
'dtype'
Thanks,
Sebastian Haase
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