Message304902
In the initialization of a new `RawArray` the `size_or_initializer` parameter is tested for being an instance of `int`. When passing something like numpy.int64 here, the code crashes, because it does not recognize this as an integer. The workaround is to cast to int(). Wouldn't it be nicer to compare to types.IntType to allow for custom integer types?
def RawArray(typecode_or_type, size_or_initializer):
'''
Returns a ctypes array allocated from shared memory
'''
type_ = typecode_to_type.get(typecode_or_type, typecode_or_type)
- if isinstance(size_or_initializer, int):
+ if size_or_initializer is IntType: |
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Date |
User |
Action |
Args |
2017-10-24 12:13:37 | meetaig | set | recipients:
+ meetaig |
2017-10-24 12:13:37 | meetaig | set | messageid: <1508847217.79.0.213398074469.issue31859@psf.upfronthosting.co.za> |
2017-10-24 12:13:37 | meetaig | link | issue31859 messages |
2017-10-24 12:13:37 | meetaig | create | |
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