“But we should not forget that he was in fact wrong about most things, not just about the totally impractical nature of his communist alternative.”

— Tyler Cowen on Marx

Re: Universal Appeal


Brickmuppet hand-assembled a list of popular Pixiv pics on both the Male and Female lists. Naturally I scripted it with PixivPy, and included their relative position on the two lists…

The core of the code looks like this (delete “_r18” from both searches to see the clean-ish images); output is suitable for including directly in a Markdown-based blog like mine:

url = 'https://www.pixiv.net/member_illust.php?mode=medium&illust_id='

result = aapi.illust_ranking(mode='day_male_r18')
male={}
mcount=0
for i in result.illusts:
  mcount = mcount + 1
  male[i.id] = mcount
while result.next_url:
  next_qs = aapi.parse_qs(result.next_url)
  result = aapi.illust_ranking(**next_qs)
  for i in result.illusts:
    mcount = mcount + 1
    male[i.id] = mcount

result = aapi.illust_ranking(mode='day_female_r18')
fcount=0
for i in result.illusts:
  fcount = fcount + 1
  if i.id in male:
    print '* [F: %d, M: %d](%s%s)' % (fcount, male[i.id], url, i.id)
while result.next_url:
  next_qs = aapi.parse_qs(result.next_url)
  result = aapi.illust_ranking(**next_qs)
  for i in result.illusts:
    fcount = fcount + 1
    if i.id in male:
      print '* [F: %d, M: %d](%s%s)' % (fcount, male[i.id], url, i.id)

Rankings and links after the jump, because about a third of the clean sets of 500 and more than half the R-18 sets of 300 interest multiple genders:

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Graphics card bleg


What’s the best-bang-for-the-buck gaming graphics card that I can put into this?

Current specs:

  • Intel Core i7-6700, 3.4 GHz
  • NVIDIA GeForce GTX 980, 4 GB RAM
  • 32 GB RAM
  • 256 GB SATA SSD
  • 1 TB SATA SSD
  • 500 Watt power supply

I’m tempted to replace the original small SSD with an NVME PCI Express card and one of the many ridiculously-affordable M.2 NVME SSDs. (never mind, the free slot is only PCI Express x1)

Not a pick-up line (2)


Unrelated to this picture, the DanMemo mobile game is currently running bonus drama vignettes related to each episode of season 2 as they air.

Some of the many side stories in the game are focused around the waitresses at Bell’s favorite pub. They might collectively be called, “Is It Wrong To Force Level 4 Adventurers To Wait Tables In A Dungeon Town Restaurant?”​.

Pro tip: grabass == permadeath.

Dockerizing DeKindle


DeDRM and KindleUnpack are packages designed to extract the contents from ebooks purchased through Amazon, with multi-platform point-and-click GUI wrappers. (DeDRM includes decrypters for many other platforms as well, but I don’t need any of them)

My Japanese-book-hacking workflow doesn’t play nicely with point-and-click, and now that I’ve gone to the effort of resurrecting and updating it to work with modern versions of Perl and TeXLive, I thought it was time to dig out the core of the extraction tools and repackage them in a format more useful to me.

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Faster, please.


A Glorious Future Approaches!

Japan approves first human-animal embryo experiments

You know what this means:

Service Elf


Pet peeve: romanizations from the Japanese creator that don’t match their own text. For instance, the heroine of Cop Craft is named ティラナ, which is pronounced Tilana or Tirana, and that’s how everyone in the anime cast says it. But in the color art supplied with book one, it was written “Tilarna”, which makes that The Official Name.

I bought the Kindle edition of the novels on Amazon Japan, grabbed the latest version of DeDRM and KindleUnpack, and dusted off my Yomitori scripts (last updated in 2013…) to extract the pictures and make the text easier to read. To my surprise, the scripts mostly still worked, except for the one that uses dviasm.py to optimize the furigana, a tool that no longer handles uplatex output correctly (looks like I’ll have to switch to dv2dt/dt2dv to molest DVI files now).

After the jump, the magic words are: “She’s 26 In Elf Years!”

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“We will solve any problem for you…”


“​…until the recording studio explodes.”

(via)

Dear Amazon,


Please stop putting things in the “New Releases” recommendation list three months before they’re released. This has been showing up on my lists for weeks, and not only does the Kindle edition not come out until September, the paperback edition doesn’t come out until December.