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	<title>Talk:SE250:lab-5:hpan027 - Revision history</title>
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	<updated>2026-04-28T21:22:35Z</updated>
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	<entry>
		<id>https://wiki.kram.nz/index.php?title=Talk:SE250:lab-5:hpan027&amp;diff=13845&amp;oldid=prev</id>
		<title>Mark: 1 revision(s)</title>
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		<updated>2008-11-03T10:43:36Z</updated>

		<summary type="html">&lt;p&gt;1 revision(s)&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;== Comments from John Hamer ==&lt;br /&gt;
&lt;br /&gt;
* Nice justification of your choice of sample size.&lt;br /&gt;
&lt;br /&gt;
* Perceptive comment on the low/typical spread.&lt;br /&gt;
&lt;br /&gt;
* 1000/10000 &amp;amp;mdash; this is a very lightly loaded hash table.  An explanation of your method and reasoning would be in order.&lt;br /&gt;
&lt;br /&gt;
* There are lots of curious things going on here.  You should point to specific instances.  For example,&lt;br /&gt;
:* Java_Object_hash low 1000/10000: llps = 1000&lt;br /&gt;
:: every string hashed to the same bin!  Yet it does well on the stats tests&lt;br /&gt;
:* Java_String_hash low 1000000/100000: llps = 18, expecting 26.6&lt;br /&gt;
:: Now it&amp;#039;s doing better than expected&lt;br /&gt;
&lt;br /&gt;
* Why no Java Integer hash?&lt;br /&gt;
&lt;br /&gt;
Overall, you show very good understanding of the material and have presented your results intelligently.&lt;/div&gt;</summary>
		<author><name>Mark</name></author>
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