Create an empty git repo or reinitialize an existing one
git init
// | |
// Regular Expression for URL validation | |
// | |
// Author: Diego Perini | |
// Created: 2010/12/05 | |
// Updated: 2018/09/12 | |
// License: MIT | |
// | |
// Copyright (c) 2010-2018 Diego Perini (http://www.iport.it) | |
// |
#!/bin/sh | |
# | |
# a simple way to parse shell script arguments | |
# | |
# please edit and use to your hearts content | |
# | |
ENVIRONMENT="dev" |
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 |
var parser = document.createElement('a'); | |
parser.href = "http://example.com:3000/pathname/?search=test#hash"; | |
parser.protocol; // => "http:" | |
parser.hostname; // => "example.com" | |
parser.port; // => "3000" | |
parser.pathname; // => "/pathname/" | |
parser.search; // => "?search=test" | |
parser.hash; // => "#hash" | |
parser.host; // => "example.com:3000" |
Create an empty git repo or reinitialize an existing one
git init
''' | |
Example of Tornado that autoreloads/watches all files in folder 'static' | |
''' | |
import tornado.ioloop | |
import tornado.web | |
import tornado.autoreload | |
import os | |
''' serves index.html''' |
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% | |
% University Assignment Title Page | |
% LaTeX Template | |
% Version 1.0 (27/12/12) | |
% | |
% This template has been downloaded from: | |
% http://www.LaTeXTemplates.com | |
% | |
% Original author: | |
% WikiBooks (http://en.wikibooks.org/wiki/LaTeX/Title_Creation) |
This is a small demo of how to create a library in Rust and call it from Python (both CPython and PyPy) using the CFFI instead of ctypes
.
Based on http://harkablog.com/calling-rust-from-c-and-python.html (dead) which used ctypes
CFFI is nice because:
ctypes
import tensorflow as tf | |
import numpy as np | |
import os | |
import zconfig | |
import utils | |
class RBM(object): |
from keras.layers import Input, Dense, Lambda | |
from keras.models import Model | |
def eucl_dist(inputs): | |
x, y = inputs | |
return ((x - y)**2).sum(axis=-1) | |
x = Input((32,)) | |
y1 = Dense(8)(x) | |
y2 = Dense(8)(x) |