I just spent a while tracking down a bug in my code, and found out the
problem was numpy was letting me get away with using a logical mask of
smaller size than the array it was masking.
In [19]: x = np.random.rand(10)
In [20]: x
Out[20]:
array([ 0.72253623, 0.8412243 , 0.12835194,
2008/5/28 John Hunter [EMAIL PROTECTED]:
I initially thought line 24 below should raise an error, or coerce
True to 1 and False to 0 and give me either y[0] or y[1] accordingly,
but neither appear to be happening. Instead, I appear to be getting
y[:len(mask)][mask]
This feature looks
