PatWie

WIDTH=300
HEIGHT=300
BGCOLOR="#0f232c"


echo "" > pattern.svg

echo -n "<svg id=\"subtle\" width=\"${WIDTH}\" height=\"${HEIGHT}\" version=\"1.1\" xmlns=\"http://www.w3.org/2000/svg\">" >> pattern.svg
echo -n "<rect x=\"0\" y=\"0\" width=\"100%\" height=\"100%\" fill=\"${BGCOLOR}\"></rect>" >> pattern.svg

PatWie

To make animation in d3js you usually have an interplay between multiple attributes of objects. This simple solution should simplify the process of animation. You just connect a value

var bindIncrease = new d3binding();
    bindIncrease.ease = "elastic"
    bindIncrease.duration = 2000
    bindIncrease.connect(line, "x2", function(v) {return 100 + v;});
    bindIncrease.connect(dot_center, "cx", function(v) {return 100 + v;});
    bindIncrease.connect(dot_extra, "cx", function(v) {return 3 * v;});
 bindIncrease.connect(hline, "x2", function(v) {return 3 * v;});

PatWie

{"nbformat_minor": 0, "cells": [{"execution_count": 25, "cell_type": "code", "source": "# read data from csv file\ndata = readdlm(\"breast-cancer.csv\", ',');\n# get shape of data \n(m,d) = size(data)\n", "outputs": [{"execution_count": 25, "output_type": "execute_result", "data": {"text/plain": "(263,10)"}, "metadata": {}}], "metadata": {"collapsed": false, "trusted": true}}, {"execution_count": 29, "cell_type": "code", "source": "# first half is training set\ny = data[1:int(m/2),1];     \ny[y .== -1] = 0     \nx = data[1:int(m/2),2:end];\nno = sum(x,1)\n# normalize\nx = x./no;\n# augment by one dimension\nx = [ones(int(m/2),1) x]\n\n\n(_,d) = size(x)\n\n# second half is test set\ny_test = data[int(m/2):end,1];\ny_test[y_test .== -1] = 0\nx_test = data[int(m/2):end,2:end];\n# normalize\nx_test = x_test./no;\n# augment by one dimension\nx_test = [ones(size(x_test,1),1) x_test];\n\nprint(size(x))\nprint(size(y))\nprint(size(x_test))\nprint(size(y_test))", "outputs": [{"output_type": "stream", "name": "stdout",

PatWie

/*
This brute force algorithm was originally written (by me) back in 1998, and has been collecting dust 
since then. However, for the purpose of testing Gist on GitHub I decided to rewrite the algorithm 
from VB6 to C#, make some improvements and release this fast, compact, non-recursive, brute force 
algorithm under the MIT license: http://opensource.org/licenses/MIT

Notes:
- Do a run with testLetters = "0123456789" and testLength = 3, to see what happens
- Remember to keep the callback testCalback as fast as possible
- Tweet some love to @fredrikdev :)

PatWie

#!/bin/sh

WEBDIR=yourwebdir
WORKSPACE=your/workspace
TEX_FILE_NAME=your_file

echo
echo "**** Pulling changes into Live [Hub's post-update hook]"
echo

PatWie

XJExGv

A Pen by Alex Wendland on CodePen.

License.

PatWie

Animation Playground MkII

Me playing around animation features with 2 different Canvas on top of each other and with different effects

A Pen by Giacomo Sorbi on CodePen.

License.

PatWie

Here is a list of scopes to use in Sublime Text 2 snippets - 

ActionScript: source.actionscript.2
AppleScript: source.applescript
ASP: source.asp
Batch FIle: source.dosbatch
C#: source.cs
C++: source.c++
Clojure: source.clojure
CoffeeScript: source.coffee

PatWie

'''
These functions take a dictionary of dependencies in the following way:

depdict = { 'a' : [ 'b', 'c', 'd'],
            'b' : [ 'c', 'd'],
            'e' : [ 'f', 'g']
            }

PatWie

import tensorflow as tf


# save
dummy = tf.Variable(tf.truncated_normal(shape=[10]), name='dummy')
with tf.Session() as sess:
  saver = tf.train.Saver()
  sess.run(tf.global_variables_initializer())
  expected = sess.run(tf.reduce_sum(dummy))
  saver.save(sess, 'model')