This is a cheat sheet for how to perform various actions to ZSH, which can be tricky to find on the web as the syntax is not intuitive and it is generally not very well-documented.
| Description | Syntax |
|---|---|
| Get the length of a string | ${#VARNAME} |
| Get a single character | ${VARNAME[index]} |
| # This file contains code to save 64 samples as a syx file for Novation Circuit | |
| # | |
| # * It reads a single long wave file. | |
| # * splits it into 64 equal chunks | |
| # * crops the sound | |
| # * adds a super fast fadein and "an appropriate fadeout". To remove clicks | |
| # * normalizes every sample | |
| # * Saves the whole thing as a syx file. | |
| # |
| By default, EBPF programs will not run on WSL2 due to required kernel modules missing. The following example error is an | |
| indication of this problem: | |
| modprobe: ERROR: ../libkmod/libkmod.c:586 kmod_search_moddep() could not open moddep file '/lib/modules/4.19.84-microso | |
| ft-standard/modules.dep.bin' | |
| modprobe: FATAL: Module kheaders not found in directory /lib/modules/4.19.84-microsoft-standard | |
| chdir(/lib/modules/4.19.84-microsoft-standard/build): No such file or directory | |
| To fix this you need to rebuild the WSL2 kernel with the missing kernel modules. The below instructions are for Ubuntu 18.04 WSL2. | |
| 1. git clone https://github.com/microsoft/WSL2-Linux-Kernel.git |
| # GIT heart FZF | |
| # ------------- | |
| is_in_git_repo() { | |
| git rev-parse HEAD > /dev/null 2>&1 | |
| } | |
| fzf-down() { | |
| fzf --height 50% --min-height 20 --border --bind ctrl-/:toggle-preview "$@" | |
| } |
| // title : Plotter Pen Adapter | |
| // author : Brian Boucheron <[email protected]> | |
| // license : MIT License | |
| // revision : 0.003 | |
| // date : June 9 2022 | |
| // file : plotter-pen-adapter.jscad | |
| // gist : https://gist.github.com/beardicus/d668c0f6b96be53d16dc | |
| // A parametric version of the plotter pen adapter found here: | |
| // https://www.printables.com/model/156721-sharpie-fine-point-plotter-adapter |
The following recipes are sampled from a trained neural net. You can find the repo to train your own neural net here: https://github.com/karpathy/char-rnn Thanks to Andrej Karpathy for the great code! It's really easy to setup.
The recipes I used for training the char-rnn are from a recipe collection called ffts.com And here is the actual zipped data (uncompressed ~35 MB) I used for training. The ZIP is also archived @ archive.org in case the original links becomes invalid in the future.
| # tmxsync: bring all windows as panes into one window and activate the "synchronize-panes" option | |
| # tmxunsync: split all panes into different windows and deactivate the "synchronize-panes" option. | |
| # Licence: | |
| # To the extent possible under law I, Konstantinos Koukopoulos, have waived all copyright and related or neighboring rights to tmxsync.sh, as describe by the CC0 document: | |
| # http://creativecommons.org/publicdomain/zero/1.0/ | |
| # This work is published from: Greece. | |
| tmxsync () { | |
| export _TMUX_SYNC=1; |
| // by dave @ beesandbombs.tumblr.com >:) | |
| void setup() { | |
| setup_(); | |
| result = new int[width*height][3]; | |
| result_ = new int[width*height][3]; | |
| } | |
| int[][] result, result_; | |
| float time; |
| int samplesPerFrame = 32; | |
| int numFrames = 42; | |
| float shutterAngle = .8; | |
| int[][] result; | |
| float time; | |
| float d1, d2, th, pp = .7, t, tt; | |
| int N = 10, M = 9; |