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<div class="moz-cite-prefix">Den 26-12-2015 kl. 17:26 skrev Charles
R Harris:<br>
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cite="mid:CAB6mnxL4niF1T+_q=UT98R7yts7p4jFMQSr9FmZBPcsk4tcz2Q@mail.gmail.com"
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<div dir="ltr">I just haven get NumPy ver. 1-10-2: Also in this @=
is'n supported!<span class="moz-smiley-s2"><span> :-( </span></span><br>
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cite="mid:CAB6mnxL4niF1T+_q=UT98R7yts7p4jFMQSr9FmZBPcsk4tcz2Q@mail.gmail.com"
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<div class="gmail_quote">On Sat, Dec 26, 2015 at 9:06 AM, Hans
Larsen <span dir="ltr"><<a moz-do-not-send="true"
href="mailto:jocjo@mail.dk" target="_blank">jocjo@mail.dk</a>></span>
wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0
.8ex;border-left:1px #ccc solid;padding-left:1ex">I have a
Python3.5.1 64bits on Windows 10 same bit-length!<br>
I want to knowing when and what version of numpy, that
support @= ?<br>
I have a functional numpy-1-10-1!=-O<span class="HOEnZb"><font
color="#888888"><br>
</font></span></blockquote>
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<div>May I suggest numpy 1.10.2? Numpy 1.10.1 has some nasty
bugs.<br>
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<div>In any case, we support the `@` operator in 1.10, but
not the `@=` operator. The `@=` operator is tricky to have
true inplace matrix multiplication, as not only are
elements on the left overwritten, but the dimensions need
to be preserved. <br>
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<div>Chuck<br>
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<div class="moz-signature">-- <br>
Hans Larsen
Galgebakken Sønder 4-11A
2620 Albertslund
Danmark/Danio
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