Try rational #1
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Note: causes segmentation fault at interpreter exit due to bad refcounting somewhere. Hopefully not relevant once new dtype spec is in place.
* Type hierarchy: DTypeMeta vs. DType - why the base class for float64Unit? * What's the difference between PyArray_Descr and PyArray_DTypeMeta? Should a user dtype implementor ever use the latter? * Is a piecemeal approach feasible, i.e. can I provide a dummy castingimpl and create a viable dtype (that doesn't do anything).
side note: fixes stack smashing error, now back to regular segfaults.
DType class is of type PyArray_DTypeMeta, which is not public. Use PyObject for prototypes instead for now.
Forwards through errors from dtype creation at import time.
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WIP: First attempt at rational dtype.
for float64Unit?
PyArray_DTypeMeta? Should a user dtype implementer have access to/ever use
the latter?
castingimpl and create a viable dtype (that doesn't do anything).