| #!/usr/bin/env python | |
| import sys,csv | |
| for row in csv.reader(sys.stdin): | |
| print "\t".join(row) |
| import re | |
| bvh_file = "Example1.bvh" | |
| def identifier(scanner, token): return "IDENT", token | |
| def operator(scanner, token): return "OPERATOR", token | |
| def digit(scanner, token): return "DIGIT", token | |
| def open_brace(scanner, token): return "OPEN_BRACE", token | |
| def close_brace(scanner, token): return "CLOSE_BRACE", token |
| // | |
| // SysCommand.h | |
| // | |
| // Created by Brett Renfer on 2/22/12. | |
| // | |
| #pragma once | |
| #include "ofThread.h" | |
| class SysCommand : private ofThread |
| """ | |
| Usage: python remove_output.py notebook.ipynb [ > without_output.ipynb ] | |
| Modified from remove_output by Minrk | |
| """ | |
| import sys | |
| import io | |
| import os | |
| from IPython.nbformat.current import read, write |
| #!/bin/sh | |
| if [ "$#" -eq 1 ]; then stdinmsg=$(cat); fi | |
| exec <"$0" || exit; read v; read v; read v; exec /usr/bin/osascript - "$@" "$stdinmsg"; exit | |
| -- another way of waiting until an app is running | |
| on waitUntilRunning(appname, delaytime) | |
| repeat until my appIsRunning(appname) | |
| tell application "Messages" to close window 1 | |
| delay delaytime | |
| end repeat |
Please consider using http://lygia.xyz instead of copy/pasting this functions. It expand suport for voronoi, voronoise, fbm, noise, worley, noise, derivatives and much more, through simple file dependencies. Take a look to https://github.com/patriciogonzalezvivo/lygia/tree/main/generative
float rand(float n){return fract(sin(n) * 43758.5453123);}
float noise(float p){
float fl = floor(p);
float fc = fract(p);
| import matplotlib.pyplot as plt | |
| def draw_neural_net(ax, left, right, bottom, top, layer_sizes): | |
| ''' | |
| Draw a neural network cartoon using matplotilb. | |
| :usage: | |
| >>> fig = plt.figure(figsize=(12, 12)) | |
| >>> draw_neural_net(fig.gca(), .1, .9, .1, .9, [4, 7, 2]) | |
| BOOST_INC_DIR = [] | |
| BOOST_LIB_DIR = [] | |
| BOOST_COMPILER = 'gcc43' | |
| USE_SHIPPED_BOOST = True | |
| BOOST_PYTHON_LIBNAME = ['boost_python-py27'] | |
| BOOST_THREAD_LIBNAME = ['boost_thread'] | |
| CUDA_TRACE = False | |
| CUDA_ROOT = '/usr/local/cuda' | |
| CUDA_ENABLE_GL = False | |
| CUDA_ENABLE_CURAND = True |
| # coding:utf-8 | |
| %matplotlib inline | |
| import matplotlib.pyplot as plt | |
| from wordcloud import WordCloud | |
| from bs4 import BeautifulSoup | |
| import requests | |
| import MeCab as mc | |
| def mecab_analysis(text): | |
| t = mc.Tagger('-Ochasen -d /usr/local/Cellar/mecab/0.996/lib/mecab/dic/mecab-ipadic-neologd/') |
