Re: [Numpy-discussion] RFC: out of range slice indexes

2008-01-16 Thread Neal Becker
Neal Becker wrote: I've never liked that python silently ignores slices with out of range indexes. I believe this is a source of bugs (it has been for me). It goes completely counter to the python philosophy. I vote to ban them from numpy. from numpy import array x = array (xrange (10))

[Numpy-discussion] RFC: out of range slice indexes

2008-01-14 Thread Neal Becker
I've never liked that python silently ignores slices with out of range indexes. I believe this is a source of bugs (it has been for me). It goes completely counter to the python philosophy. I vote to ban them from numpy. from numpy import array x = array (xrange (10)) x[11] Traceback (most

Re: [Numpy-discussion] RFC: out of range slice indexes

2008-01-14 Thread Robert Kern
Neal Becker wrote: I've never liked that python silently ignores slices with out of range indexes. I believe this is a source of bugs (it has been for me). It goes completely counter to the python philosophy. I vote to ban them from numpy. from numpy import array x = array (xrange (10))

Re: [Numpy-discussion] RFC: out of range slice indexes

2008-01-14 Thread Robert Kern
Neal Becker wrote: Robert Kern wrote: Neal Becker wrote: I've never liked that python silently ignores slices with out of range indexes. I believe this is a source of bugs (it has been for me). It goes completely counter to the python philosophy. I vote to ban them from numpy. from

Re: [Numpy-discussion] RFC: out of range slice indexes

2008-01-14 Thread Neal Becker
Robert Kern wrote: Neal Becker wrote: I've never liked that python silently ignores slices with out of range indexes. I believe this is a source of bugs (it has been for me). It goes completely counter to the python philosophy. I vote to ban them from numpy. from numpy import array x =

Re: [Numpy-discussion] RFC: out of range slice indexes

2008-01-14 Thread Timothy Hochberg
On Jan 14, 2008 12:37 PM, Neal Becker [EMAIL PROTECTED] wrote: I've never liked that python silently ignores slices with out of range indexes. I believe this is a source of bugs (it has been for me). It goes completely counter to the python philosophy. I vote to ban them from numpy.