| #!/usr/bin/env python3 | |
| # FIXME: requirements.txt | |
| # pip3 install python-telegram-bot --upgrade | |
| # pip3 install pyscreenshot | |
| # pip3 install pillow | |
| from telegram.ext import Updater | |
| from telegram.ext import CommandHandler |
| package main | |
| // A quickie script to populate a database with two tables with test data | |
| import ( | |
| "log" | |
| "reflect" | |
| "github.com/bxcodec/faker/v3" | |
| "github.com/icrowley/fake" |
| package main | |
| import "log" | |
| // enum ShapeKind { Square, Rectangle, Circle }; | |
| // struct Shape { | |
| // int centerx; | |
| // int centery; | |
| // enum ShapeKind kind; | |
| // union { |
| <keymap version="1" name="angchMacOS" parent="Mac OS X 10.5+"> | |
| <action id="CollapseAll"> | |
| <keyboard-shortcut first-keystroke="meta subtract" /> | |
| </action> | |
| <action id="CollapseExpandableComponent"> | |
| <keyboard-shortcut first-keystroke="shift enter" /> | |
| <keyboard-shortcut first-keystroke="meta subtract" /> | |
| </action> | |
| <action id="CollapseRegion"> | |
| <keyboard-shortcut first-keystroke="meta subtract" /> |
| package main | |
| // https://forum.lowyat.net/index.php?act=ST&f=12&t=4908702&st=0 | |
| import ( | |
| "fmt" | |
| "image/jpeg" | |
| "log" | |
| "math" | |
| "os" |
| Sorry, folks, gonna brain dump on my thoughts on FB's zstd compression here. context: http://www.zdnet.com/article/facebook-open-sources-zstandard-data-compression-algorithm-aims-to-replace-technology-behind-zip/ | |
| The algo seems very similar to google's brotli, in that they have a decent dictionary or prev common terms even before they start looking at the input to be compressed. | |
| In Mark Nelson's Data Compression Book's terminology, they have a generate and use a better Data Model of the data to be compressed, even before they started. In FB's zstd, they use "learning" to precompute this data model, where as in brotli, I think they hardcoded it. | |
| See rfc17932 on brotli, where the bulk of it is a section on the | |
| Appendix A. Static Dictionary Data they used. | |
| https://www.ietf.org/rfc/rfc7932.txt |
[golangmy] Golang Meetup September 2018
[wwckl] Civic Tech - What is it and how do you contribute?
[rustmy] Rust Lang Meetup - Project X
| // https://forum.lowyat.net/topic/3765924/+0 | |
| package main | |
| import "fmt" | |
| /* | |
| 1. A vase that weights 3 pounds and is worth 50 dollars. | |
| 2. A silver nugget that weights 6 pounds and is worth 30 dollars. | |
| 3. A painting that weights 4 pounds and is worth 40 dollars. | |
| 4. A mirror that weights 5 pounds and is worth 10 dollars. |
| package main | |
| import ( | |
| "os" | |
| "strings" | |
| "github.com/nlopes/slack" | |
| ) | |
| func main() { |