Here's the report for this month! And here's the FotF reply.A monthly report and a reply to the Q and A to start the month, a month where circumstances have calmed down a bit so I should actually have some things to post here as we enter the land of patches once more.Also, we did a PC Gamer podcast with the Quds. In the meantime, we have a Blind interview coinciding with the beginning of the Dwarf Fortress Hot Potato for MSF. 50.08 should be together in a few days, featuring baby animals, more crop pictures, more boulders, autosave fix, and the return of legends XML export! Then we'll turn to logs/reports and archer fixes as well as gearing up for adventure mode.Here's the report to start May and also the Future of the Fortress reply.And 50.09 is also in progress - the return of the game log and we're working toward report/announcement persistence and some archery fixes/changes as well. We're having our first meeting for the adventure mode sound effects tomorrow, and I'll need to get an adventurer running around soon for that and for upcoming artwork, so that's a simultaneous thing going on. Putnam got me through setting up the Windows Subsystem for Linux and it's mostly playing nice with everything, so there's some hope that I'll just be able to compile from within MSVC itself to make the Linux builds. This week has been going well! The experimental SDL2 branch is stabilizing after a few patches, and this should pave the way for some speed increases as well as the Linux and Mac versions.
Experiments indicate Random EdgeĬoding can achieve competitive compression performance on real-world networkĭatasets and scales to graphs with millions of nodes and edges.Now available at Steam and itch.io! DOWNLOAD DWARF FORTRESS CLASSIC 50.08 (May 2, 2023) WindowsĪll Versions Current Development: RSS Feed, Release Feed, Here's a two hour stream we did with Salford Sal, going on a tour of a twenty year fortress and generally talking about the game. Of the edges and of vertices within an edge. Proven under a class of random graph models that are invariant to permutations Key to our method is bits-backĬoding, which is used to sample edges and vertices without replacement from theĮdge-list in a way that preserves the structure of the graph. Graphs, and requires only integer arithmetic. Urn, the worst-case computational and memory complexities scale quasi-linearlyĪnd linearly with the number of observed edges, making it efficient on sparse When paired with a parameter-free model based on Pólya's Download a PDF of the paper titled Random Edge Coding: One-Shot Bits-Back Coding of Large Labeled Graphs, by Daniel Severo and 3 other authors Download PDF Abstract: We present a one-shot method for compressing large labeled graphs called
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