[Numpy-discussion] numpy.complex* functions do not call the __complex__ method
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: In [1]: class MyNum: ...: def __complex__(self): ...: return complex(1,3) ...: ...: In [2]: import numpy In [3]: a=MyNum() In [4]: complex(a) Out[4]: (1+3j) In [5]: numpy.complex128(a) --- type 'exceptions.AttributeError'Traceback (most recent call last) /home/jason/download/numpy/numpy-1.1.0/src/numpy/ipython console in module() type 'exceptions.AttributeError': MyNum instance has no attribute '__float__' This is with numpy 1.1. Is this a bug, or is this by design? Thanks, Jason ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] numpy.complex* functions do not call the __complex__ method
[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. ___ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
Re: [Numpy-discussion] numpy.complex* functions do not call the __complex__ method
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 Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
