https://github.com/yaxu/deadpatterns
https://github.com/yaxu/embedded
https://github.com/kindohm/365tidalpatterns
| // send to current request socket client | |
| socket.emit('message', "this is a test"); | |
| // sending to all clients, include sender | |
| io.sockets.emit('message', "this is a test"); | |
| // sending to all clients except sender | |
| socket.broadcast.emit('message', "this is a test"); | |
| // sending to all clients in 'game' room(channel) except sender |
| for (int r = 0; r < graphRows; r++) | |
| { | |
| for (int c = 0; c < graphCols; c++) | |
| { | |
| int current = (graphCols - 1 - c) * graphRows + r; | |
| } | |
| } |
| plot (V1, V2, | |
| type = "p", | |
| col = "red", | |
| cex = .2, | |
| xlab = "Force (N)", | |
| ylab = "Raw", | |
| ylim = c(0,4096)) | |
| grid (col = "lightgray", lty = "dotted", lwd = par("lwd"), equilogs = TRUE) | |
| par (new = TRUE) | |
| plot (V1, V3, |
| #!/bin/bash | |
| # Split and convert the PDF with ImageMagick convert | |
| convert -density 300 input.pdf -type Grayscale -compress lzw -background white +matte -depth 32 page_%05d.tif | |
| # OCR the pages with Tesseract | |
| for i in page_*.tif; do echo $i; tesseract $i $(basename $i .tif) pdf; done |
| import urllib | |
| import datetime as dt | |
| import pytz | |
| from PIL import Image | |
| import numpy as np | |
| import subprocess | |
| import socket | |
| import os | |
| dir = '/FULL/PATH/TO/SCRIPT/DIR' |
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"> | |
| <title>'Dominoes' prototype</title> | |
| <meta name="description" content="Hello, World! • A-Frame"> | |
| <script src="https://aframe.io/releases/0.1.2/aframe.js"></script> | |
| </head> | |
| <body> | |
| <a-scene stats="true" id="scene"> |
| import xml.etree.ElementTree as ET | |
| import os | |
| from os.path import join | |
| import io | |
| # 1. Extract Docs and .scrivx from Scrivener using 'Open Package Contents' | |
| # 2. Convert Docs from .rtf to .txt using GNU unrtf and put .txt files in folder called txt | |
| # 3. Run script | |
| dir = 'path/to/scriv' |
Event links
OpenCorporates
( // http://doc.sccode.org/Classes/ServerOptions.html
s.options.numBuffers = 1024 * 16; // increase this if you need to load more samples s.options.memSize = 8192 * 16; // increase this if you get "alloc failed" messages s.options.maxNodes = 1024 * 32; // increase this if you are getting drop outs and the message "too many nodes"
// Default // s.options.numOutputBusChannels = 2; // set this to your hardware output channel size, if necessary // s.options.numInputBusChannels = 2; // set this to your hardware output channel size, if necessary