A traditional table-based DFA implementation looks like this:
uint8_t table[NUM_STATES][256]
uint8_t run(const uint8_t *start, const uint8_t *end, uint8_t state) {
for (const uint8_t *s = start; s != end; s++)
state = table[state][*s];
return state;
}
| // homerunner is Brad's shitty Docker wrapper after he got tired of running | |
| // HA nine-VM Kubernetes clusters. Earlier versions of this tried to use podman | |
| // and fancy cloud-init and CNI stuff but then I decided to go to the other | |
| // extreme and write something super specific to what I need and super dumb: | |
| // run my containers from gcr.io, and use my home Ceph cluster for mounts/state. | |
| // | |
| // This primarily runs Home Assistant, HomeSeer, an MQTT server, and some cameras. | |
| // And some omitted misc stuff. | |
| package main |
Twitter abuses all media file uploads, each type in its own way. If we want to upload a good looking animation loop from some low-color, high-detail generative art, we have to game their system's mechanisms.
don't upload a video file, they will re-encode it into absolute 💩
create a GIF, which they will auto-convert into a video file 😱
The frames of the GIF will be resized to an even-sized width using an extremely naive algorithm. Your GIF should be an even size (1000, 2000,
| $ sqlite3 | |
| sqlite> .mode csv | |
| sqlite> .import brad-2016-2020.csv items | |
| sqlite> .import brad-2021-ytd.csv items | |
| sqlite> .mode column | |
| sqlite> .width 40 | |
| sqlite> .header on | |
| sqlite> CREATE VIEW money_cat AS select Category, sum(Cast(Ltrim("Item Total", "$") as decimal)) as "Sum", count(*) from items group by Category; | |
| sqlite> select category, round(100 * sum / (select sum(sum) from money_cat), 2) as "percent", "count(*)" from money_cat order by 2 desc limit 50; | |
| Category percent count(*) |
This guide was adapted from https://gist.github.com/niw/e4313b9c14e968764a52375da41b4278#running-ubuntu-server-for-arm64
| # IDA (disassembler) and Hex-Rays (decompiler) plugin for Apple AMX | |
| # | |
| # WIP research. (This was edited to add more info after someone posted it to | |
| # Hacker News. Click "Revisions" to see full changes.) | |
| # | |
| # Copyright (c) 2020 dougallj | |
| # Based on Python port of VMX intrinsics plugin: | |
| # Copyright (c) 2019 w4kfu - Synacktiv |
It is exciting to see so many new color features for the CSS Color Module. There are nevertheless a couple items that resulted in a "raised eyebrow response". This Gist is mainly going to focus on one: the use of the LAB version of LCh instead of LUV LCh, which may be better suited for the task but appears to have been dismissed as if irrellevant.
I DISAGREE. Luv is in common use and very relevant, and LuvLCh or one of the several LuvLCh variants has distinct advantages over LabLCh for use cases such as choosing color for web content for displays.
| // simplevm.c: demonstrates Hypervisor.Framework usage in Apple Silicon | |
| // Based on the work by @zhuowei | |
| // @imbushuo - Nov 2020 | |
| // To build: | |
| // Prepare the entitlement with BOTH com.apple.security.hypervisor and com.apple.vm.networking WHEN SIP IS OFF | |
| // Prepare the entitlement com.apple.security.hypervisor and NO com.apple.vm.networking WHEN SIP IS ON | |
| // ^ Per @never_released, tested on 11.0.1, idk why | |
| // clang -o simplevm -O2 -framework Hypervisor -mmacosx-version-min=11.0 simplevm.c | |
| // codesign --entitlements simplevm.entitlements --force -s - simplevm |
Intel added the Galois Field instruction set (GFNI) extensions to their Sunny Cove and Tremont cores. What’s particularly interesting is that GFNI is the only new SIMD extension that came with SSE and VEX/AVX encodings (in addition to EVEX/AVX512), to allow it to be supported on all future Intel cores, including those which don’t support AVX512 (such as the Atom line, as well as Celeron/Pentium branded “big” cores).
I suspect GFNI was aimed at accelerating SM4 encryption, however, one of the instructions can be used for many other purposes. The extension includes three instructions, but of particular interest here is the Affine Transformation (GF2P8AFFINEQB), aka bit-matrix multiply, instruction.
There have been various articles which discuss out-of-band
If you, like me, resent every dollar spent on commercial PDF tools,
you might want to know how to change the text content of a PDF without
having to pay for Adobe Acrobat or another PDF tool. I didn't see an
obvious open-source tool that lets you dig into PDF internals, but I
did discover a few useful facts about how PDFs are structured that
I think may prove useful to others (or myself) in the future. They
are recorded here. They are surely not universally applicable --
the PDF standard is truly Byzantine -- but they worked for my case.