randompast

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randompast

API_KEY = 'your_key_here'
# https://developers.google.com/youtube/v3/docs/playlistItems/list?hl=en&apix_params=%7B%22part%22%3A%5B%22snippet.publishedAt%22%2C%22snippet.title%22%2C%22snippet.description%22%5D%2C%22playlistId%22%3A%22UUbfYPyITQ-7l4upoX8nvctg%22%7D
# -*- coding: utf-8 -*-

# Sample Python code for youtube.playlistItems.list
# See instructions for running these code samples locally:
# https://developers.google.com/explorer-help/guides/code_samples#python

import os
import pickle

randompast

// Credit to Squirrel Eiserloh https://twitter.com/SquirrelTweets
// https://www.gdcvault.com/play/1024365/Math-for-Game-Programmers-Noise
// https://youtu.be/LWFzPP8ZbdU?t=2831
// http://www.mathforgameprogrammers.com/
// python version: https://github.com/sublee/squirrel3-python/blob/master/squirrel3.py

unit32_t Squirrel( int p, uint32_t seed ){
  constexpr unsigned int BIT_NOISE1 = 0xB5297A4D;
  constexpr unsigned int BIT_NOISE2 = 0x68E31DA4;
  constexpr unsigned int BIT_NOISE3 = 0x1B56C4E9;

randompast

//http://glslsandbox.com/e#70157.0
//squiggle

#ifdef GL_ES
precision mediump float;
#endif

#extension GL_OES_standard_derivatives : enable

uniform float time;

randompast

# (cusignal-dev) ~/Desktop/code/cs_fork/cusignal$ python3 discourse_2.py 
# [-0.06169884 -0.07237074  0.08575766 -0.03845544  0.37396236]
# [-0.06169884 -0.07237074  0.08575766 -0.03845544  0.37396236]
# [-0.06169884 -0.07237074  0.08575766 -0.03845544  0.37396236]
# [-0.06169884 -0.07237074  0.08575766 -0.03845544  0.37396236]
# True True True
# 481 -135.8448081001215
# 481 -135.84480810012172
# 481 -135.8448081001215
# 481 -135.84480810012175

randompast

import time
import cusignal as cs
import numpy as np
import cupy as cp
from numba import cuda, njit, jit

@njit
def nbconv_1d3o(x,k): #numba_conv 1 dimension 3rd order
    y = np.zeros(x.size-k.shape[0]+1)
    for n in range(0, y.size):

randompast

//cars.com
//https://twitter.com/randompast/status/986749286208634881
// gnuplot -p PLOTFILEBELOW
// set palette defined (2012 "#ffff00", 2013 "#ff0000", 2014 "#ff00ff", 2015 "#00ff00", 2016 "#00ffff", 2017 "#0000ff", 2018 "#aaffaa")
// set xlabel "mileage"
// set ylabel "price"
// set xrange [0:250000]
// plot "corolla.csv" u 3:2:1 w p lc palette
var getYear = function(c){
	var info = c.getElementsByClassName("listing-row__title")[0]

randompast

import sys
import matplotlib.pyplot as plt
import numpy as np

def f(a, x):
    return a*x*(1 - x)

n = 1000
imgs = 50
for k in np.arange(imgs):

randompast

use Random;
use LinearAlgebra;

proc rand(D: int, seed : int, mag: real):[1..D] real {
  var X: [1..D] real;
  fillRandom(X, seed, algorithm=RNG.NPB);
  return mag*(2*X-1);
}

proc conv(A: [?D1] real, K: [?D2] real) {

randompast

using System.Collections;
using System.Collections.Generic;
using UnityEngine;
using System.IO;

public class io : MonoBehaviour {

	// Use this for initialization
	void Start () {
		dat d = new dat ();