John,
One small note - we've been bitten in the past by doing:
x != 0
This assumes a numeric (int/float) quantity. If someone substitutes
a different type that looks like a number, this will most likely
fail. Python has a __nonzero__ method which can be used by calling
'not' or 'bool()':
not x == ! bool( x )
All the numeric types implement this correctly (i.e. like a test for
x == 0). Of course, I haven't been following this conversion so I'm
not sure this applies here...
Ted
At 06:08 AM 11/22/2006, John Hunter wrote:
> >>>>> "Robert" == Robert Cimrman <[EMAIL PROTECTED]> writes:
>
>
> Robert> BTW would you consider changing the definition of spy(2)
> Robert> as shown below, so that one could specify what 'to be a
> Robert> zero' means?
>
>I added these enhancement, and a couple more, and an
>examples/spy_demos.py.
>
>On reflection, it might be better to allow the user to simply pass a
>sparsity function rather than a precision
>
>def not_zero(Z):
> return Z!=0.
>
>class not_near_zero:
> def __init__(self, precision):
> self.precision = precision
> def __call__(self, Z):
> return absolute(asarray(Z))>self.precision
>
>def spy(Z, element=not_zero):
> mask = element(Z)
>
>Then you could do:
>
>spy(Z, issparse=not_near_zero(1e-6))
>
>
>
>The precision implementation you suggested is in svn, but if there is
>any consensus that either of these approaches is better, speak up.
>
>JDH
>
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