[PYTHON MATRIX-SIG] Final (hopefully) alpha release available

[Konrad Hinsen]

> either. However, it seems like A == B, and A != B are perfectly valid
> matrix expressions that should evaluate to true and false respectively
> if A and B are the same shape and have equal values. In other words, 
> A == B <=> A.shape == B.shape and and.reduce(equal(ravel(A), ravel(B))).
> 
> Yes? No?

If you ask me, yes! And of course it is possible. Here is the
definition of __cmp__ of my tensor class, which is basically
a wrapper around a special kind of array:

    def __cmp__(self, other):
	if self.rank != other.rank:
	    return 1
	else:
	    return not umath.logical_and.reduce(
		umath.equal(self.array, other.array).flat)

In this case, self.rank completely specifies shape, so it doesn't have
to be compared separately.

Konrad.
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Konrad Hinsen                          | E-Mail: hinsen@ibs.ibs.fr
Laboratoire de Dynamique Moleculaire   | Tel.: +33-76.88.99.28
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