A cricket bat!
Twelve years, and four psychiatrists!
Four?
I kept biting them!
Why?
They said you weren't real.

Essence Of Cool

The closing credits of Hanamaru Kindergarten might win the nod for the best anime of the season.

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I Hate Sauerkraut!

Also crazed starving weasels.

Posted by: Pixy Misa at 04:24 PM | Comments (2) | Add Comment | Trackbacks (Suck)
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Move Over Mendeleev

Now with added mouseoverness.

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Periodicity



The Grand Unified Minx Theory


The mee.nu User Domains


The Minx Components

Posted by: Pixy Misa at 05:40 PM | No Comments | Add Comment | Trackbacks (Suck)
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Gamma Lama

Naturally I had to try this...

100%


50%


Oops!

Now, that's a deliberately constructed corner case, but there is a problem there.

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Bitzenpieces

Posted by: Pixy Misa at 05:44 PM | No Comments | Add Comment | Trackbacks (Suck)
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Where's Pixy?

I'm in here:


(Click for full screenshot.  Thanks go to Steam and GOG's insane holiday sales.)

Actually, I'm not; I'm doing work for my day job, making some progress with Pita, reorganising Meta, and have finally come to a design decision on Miko (all parts of the Minx project for those who haven't been paying attention), redoing the documentation in Sphinx - which will itself be supported in an upcoming version of Meta - and planning for this year's server upgrade.*  I did play a bit of Dragon Age over the holidays, but games are taking a back seat for a while.**  Despite the fact that I have 224 of them currently installed.

* If things go right we'll be moving from a lowly 8-processor (16-thread) 2.26GHz server with 24GB of RAM to a spiffy new 12-processor (24-thread) 2.66GHz server with 48GB of RAM.  That's at least partly to prepare for the move to Pita, which loves to store stuff in memory.  Because I can just copy the OpenVZ virtual machines across, the move should be quick and painless.

** Apart from Billy vs. SNAKEMAN!

Posted by: Pixy Misa at 02:16 PM | Comments (6) | Add Comment | Trackbacks (Suck)
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Hoshimittsu

Hidamari Sketch continues to exist in its own little universe, and all is right with the world.

Posted by: Pixy Misa at 04:12 AM | Comments (3) | Add Comment | Trackbacks (Suck)
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If I Don't Lesnerize, The Feegs Can't Get Me

In SQL* you say select sum(sales) from accounts where state="NY".  In Pita, the way to do this is:

results = accounts.aggregate(state='NY')**

which will calculate for you the count, length, sum, minimum and maximum, as appropriate, for all the fields in the table at once, so the value you need is results.sales.sum.  Since the table scan is typically slower than any calculations you're likely to be doing, this seems a reasonable approach.

In addition, I've added a

results = accounts.stats()

which provides all those, plus mean,*** median, mode, standard deviation, and geometric and harmonic means.   Aaaaand standard error, coefficient of variation, sample and population variance, skewness and kurtosis.  I even sort of know what kurtosis is.

I'm working on two more functions now, group and break, though I may need to come up with another name for the latter because break is a Python keyword.  This:

for result in accounts.group('state', country='US'): ...

would give you the aggregate sales figures for each state in the US, sensibly enough.  And this:

for result in accounts.break('state', country='US'): ...

would give you the individual sales figures, and then automatically provide totals after the last sales record for each state.

As long as I don't come down with kurtosis...

Update: Kang and jag.  Or rather, agg and tab.  For aggregate and tabulate. 

for line in accounts.aggregate('state', country='US'): ...

will give you one summary line for each state, where

for line in accounts.tabulate('state', country='US'): ...

would give you both detail and summary lines.  I need to put subtotal and total flags on the records for tabulate.  Have to watch the keywords, there.  And keep my closet doors closed.

* Boo, hiss!

** Or indeed

results = accounts(state='NY').aggregate()

Either way should perform the same and produce the same results.  I think...

*** Which should come out the same as the average; just one I'm calculating myself and the other I'm pulling out of a stats module.

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Just Trying Something...



Okay, yeah, they needed that sharpening filter.  That's Minx's built-in upscaling.  Quality is not so hot, as it turns out.  I'll check on what filter it's using; normally it's only used for downscaling, which works great:

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