I have a method on a C++ object that treats all elements the same and modifies the array in-place (quantizes each value). Usually I just have a vector, i.e. a 1D array. But today I wanted to quantize a 2D array, and the
(DATA_TYPE* INPLACE_ARRAY1, DIM_TYPE DIM1) failed to do the trick, because of the require_dimensions(array, 1) call. So I created a new typemap in numpy.i (DATA_TYPE* INPLACE_ARRAY_FLAT, DIM_TYPE DIM_FLAT) that omits the call to "require_dimensions", and behold! It works for both 1D and 2D (and really any D). Does this seem like a reasonable addition to numpy.i? Or is there another way to do this that I am missing? Regards, Tom
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