Can you clarify why it would be super hard? I just reused the code for advanced indexing (a modification of PyArray_SetMap). Am I missing something crucial?<div><br></div><div><br><br><div class="gmail_quote">On Tue, Jun 26, 2012 at 9:57 AM, Travis Oliphant <span dir="ltr">&lt;<a href="mailto:travis@continuum.io" target="_blank">travis@continuum.io</a>&gt;</span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div style="word-wrap:break-word"><br><div><div class="im"><div>On Jun 26, 2012, at 11:46 AM, John Salvatier wrote:</div>
<br><blockquote type="cite"><div>Hello, </div><div><br></div><div>If you increment an array using advanced indexing and have repeated indexes, the array doesn&#39;t get repeatedly incremented, <a href="http://comments.gmane.org/gmane.comp.python.numeric.general/50291" target="_blank">http://comments.gmane.org/gmane.comp.python.numeric.general/50291</a>. I wrote a C function that does incrementing with repeated indexes correctly. The branch is here (<a href="https://github.com/jsalvatier/numpy" target="_blank">https://github.com/jsalvatier/numpy</a> see the last two commits). Would a patch with a cleaned up version of a function like this be accepted into numpy? I&#39;m not experienced writing numpy C code so I&#39;m sure it still needs improvement.</div>
</blockquote><div><br></div></div><div>This is great.   It is an often-requested feature.   It&#39;s *very difficult* to do without changing fundamentally what NumPy is.  But, yes this would be a great pull request.  </div>
<div><br></div><div>Thanks,</div><div><br></div><div>-Travis</div><div><br></div></div><br></div><br>_______________________________________________<br>
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