| Latency Comparison Numbers (~2012) | |
| ---------------------------------- | |
| L1 cache reference 0.5 ns | |
| Branch mispredict 5 ns | |
| L2 cache reference 7 ns 14x L1 cache | |
| Mutex lock/unlock 25 ns | |
| Main memory reference 100 ns 20x L2 cache, 200x L1 cache | |
| Compress 1K bytes with Zippy 3,000 ns 3 us | |
| Send 1K bytes over 1 Gbps network 10,000 ns 10 us | |
| Read 4K randomly from SSD* 150,000 ns 150 us ~1GB/sec SSD |
| #!/bin/bash | |
| # License: Public Domain. | |
| # Author: Joseph Wecker, 2012 | |
| # | |
| # -- DEPRICATED -- | |
| # This gist is slow and is missing .bashrc_once | |
| # Use the one in the repo instead! https://github.com/josephwecker/bashrc_dispatch | |
| # (Thanks gioele) | |
| # | |
| # Are you tired of trying to remember what .bashrc does vs .bash_profile vs .profile? |
| avg, sum = average(10, 20, 30, 40, 50) | |
| print("The average is ", avg) | |
| print("The sum is ", sum) | |
| print("Versioin is ", VERSION) |
| /* passable motion blur effect using frame blending | |
| * basically move your 'draw()' into 'sample()', time runs from 0 to 1 | |
| * by dave | |
| * http://beesandbombs.tumblr.com | |
| */ | |
| int samplesPerFrame = 32; // more is better but slower. 32 is enough probably | |
| int numFrames = 48; | |
| float shutterAngle = 2.0; // this should be between 0 and 1 realistically. exaggerated for effect here | |
| int[][] result; |
| 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; |
| // 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; |
| # 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; |
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.
| // 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 |