Neal Becker wrote: > [EMAIL PROTECTED] wrote: > > >> In creating an array of type numpy.complex128, I'm having problems >> passing in Sage types that should be considered complex numbers since >> they implement the standard __complex__ method. However, numpy doesn't >> recognize that. Here's a minimal example: >> >> > > I had tried to add my own complex_int class (using c++ code). Although > partly successful, I was not able to get x.real to work. The reason is that > PyArray_ISCOMPLEX is used in various places, and this is a hard-coded macro. > There is no way to extend numpy's complex behavior to support user added > types. I wish there was. >
Is there any possibility of redefining the macro to first call the Python function that converts to a python complex? (I don't know much about the python C API, just throwing an idea out). My example works if I do: numpy.complex128(complex(my_complex_number)), but not if I do numpy.complex128(my_complex_number). Can we make the call to python's complex (or maybe numpy's copy of it) automatic? Thanks, Jason _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
