[PYTHON MATRIX-SIG] Let's get going
Jim Fulton, U.S. Geological Survey
Wed, 13 Sep 1995 17:52:16 -0400
On Wed, 13 Sep 1995 17:30:21 -0400
Hinsen Konrad said:
> 2) Should I be able to say fft(A) where fft is an in-place FFT routine?
> Should it be expected to modify the memory referred to by A, or only to
> return a brand-new matrix which corresponds to the fft of A?
> I'm not sure what the right answer to this one is.
> Both operations are useful in different contexts, so why not
> have both? One possibility would be to have a function fft(A) that
> returns a new array, and a method a.fft() to do an in-place
> FFT. Implementationally the function would just copy A and call
> the method. The same applies to inversion, factorization etc.
> It would be nice to have some consistency here - always functions
> for copies, always methods for in-place modifications.
> > I'm not sure what you mean by this. Surely, you aren't trying to
> > make:
> > m=[[1,2,3],[4,5,6],[7,8,9]]
> > b=[11,22,33]
> > m==b
> > b=99
> > cause m to equal 99? Are you?
> Actually this is not such a silly question, because Python's lists
> behave exactly in this way.
I didn't say it was a silly question. I know that lists behave this
way, but making matrices behave this way complicates things alot.
> So the question is whether we want
> arrays to have reference semantice (like Python lists) or value
> semantics (like Python integers, floats, and complex numbers).
> I strongly recommend the latter - reference semantics for
> arrays quickly produce confusion, as I had to find out while
> playing with such an implementation in Smalltalk.
You have to have some reference semantics to make m[i][j] work.
Actuall, the proposal has reference semantics for reference (ie
__getitem__) and copy semantics for element/slice assignment
> on, whereas operations like concatenation return a new object. In that
> vein, I feel that m.byteswap() should operate in-place on m and cause the
> memory associated with m to be byte-swapped. This is as opposed to having
> it return a new matrix in with the same dimensions as m, but with all values
> This depends on what you would use byte swapping for. In fact, I am
> not at all convinced of its utility. What would happen when such
> a byte-swapped matrix is accessed? Would all operations on it
> still be allowed? That would create an enormous implementation effort.
> If not, then a byte-swapped matrix would no longer be a matrix,
> because none of the matrix operations could be used on it.
> The only reason I can see for a byte swapping operation is during
> I/O, so that's where it should go (as a flag to I/O functions).
> In general, I have the impression that we get too much lost in
> implementational details. Let's first define arrays as an abstract
> data type in terms of the operations allowed on it from a
> user's point of view and *then* worry about implementational
I agree that we should try to focus on requirements, however, a very
basic requirement of this type is it's ability to support interfacing
with existing numerical routines, which imposes some significant
restrictions on it's implementation.
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