Many functions accept a dtype argument for type conversions. That argument can be an instance of numpy.dtype or anything that can be converted to those by the numpy.dtype constructor. That includes:
Currently, those arguments are typed inconsistently as Any, object, or DtypeType which covers only the first case. The fix for this should probably cover:
Giving all those arguments a DtypeSpec type
change the numpy.dtype signature to accept a DtypeSpec argument
Make DtypeSpec as close as possible to the description above.
For item 3, it's not necessary to cover everything that's possible but it should cover the most frequent uses.
Many functions accept a
dtypeargument for type conversions. That argument can be an instance ofnumpy.dtypeor anything that can be converted to those by thenumpy.dtypeconstructor. That includes:int,float,str,MyCustomClass)[('f1', np.uint), ('f2', np.int32)]int32), or dtype descriptions like<i2.More details available at http://docs.scipy.org/doc/numpy/reference/generated/numpy.dtype.html
Currently, those arguments are typed inconsistently as Any, object, or
DtypeTypewhich covers only the first case. The fix for this should probably cover:numpy.dtypesignature to accept aDtypeSpec argumentDtypeSpecas close as possible to the description above.For item 3, it's not necessary to cover everything that's possible but it should cover the most frequent uses.