kevin-smets

Default

Powerlevel10k

digitalshadow

/* OpenSimplex Noise in C#
 * Ported from https://gist.github.com/KdotJPG/b1270127455a94ac5d19
 * and heavily refactored to improve performance. */

using System;
using System.Collections.Generic;
using System.Linq;
using System.Runtime.CompilerServices;

namespace NoiseTest

natelandau

#  ---------------------------------------------------------------------------
#
#  Description:  This file holds all my BASH configurations and aliases
#
#  Sections:
#  1.   Environment Configuration
#  2.   Make Terminal Better (remapping defaults and adding functionality)
#  3.   File and Folder Management
#  4.   Searching
#  5.   Process Management

yrevar

{0: 'tench, Tinca tinca',
 1: 'goldfish, Carassius auratus',
 2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
 3: 'tiger shark, Galeocerdo cuvieri',
 4: 'hammerhead, hammerhead shark',
 5: 'electric ray, crampfish, numbfish, torpedo',
 6: 'stingray',
 7: 'cock',
 8: 'hen',
 9: 'ostrich, Struthio camelus',

Mahedi-61

#!/bin/bash

### steps ####
# Verify the system has a cuda-capable gpu
# Download and install the nvidia cuda toolkit and cudnn
# Setup environmental variables
# Verify the installation
###

### to verify your gpu is cuda enable check

branneman

Better local require() paths for Node.js

Problem

When the directory structure of your Node.js application (not library!) has some depth, you end up with a lot of annoying relative paths in your require calls like:

const Article = require('../../../../app/models/article');

Those suck for maintenance and they're ugly.

Possible solutions

yoavniran

The Ultimate Unit Testing Cheat-sheet

---

• Sinon Chai
• Chai
• Sinon

tuxdna

#!/usr/bin/env python
# coding=utf-8
import numpy as np

"""
1: Procedure Policy_Iteration(S,A,P,R)
2:           Inputs
3:                     S is the set of all states
4:                     A is the set of all actions
5:                     P is state transition function specifying P(s'|s,a)

peterroelants

"""Script to illustrate usage of tf.estimator.Estimator in TF v1.3"""
import tensorflow as tf

from tensorflow.examples.tutorials.mnist import input_data as mnist_data
from tensorflow.contrib import slim
from tensorflow.contrib.learn import ModeKeys
from tensorflow.contrib.learn import learn_runner


# Show debugging output

morrolinux

In the following gist I'm going to guide you through the process of installing and booting an entire linux distribution with full desktop environment just like you would have with a classical VM, but with much better performance and much worse isolation :)

The reason why I did this was mainly because it's cool, but also to test new distros with decent graphics performance without actually booting them on my PC.

If you "try this at home" just keep in mind a container is not as secure as a VM, and some of the option we're going to explore will weaken container isolation from "a bit risky" to "totally unsafe" depending on what you choose.

Also, we're going to use systemd-nspawn for containers as it's probably the best fit for our use case and can also boot any linux partition without needing to prepare an apposite container image.

Less go!