mikolalysenko

const polytope = require('conway-hart')('tI')
const vec3 = require('gl-vec3')

const HEIGHT = 6

const bounds = require('bound-points')(polytope.positions)
const radius = Math.max(
  bounds[1][0] - bounds[0][0],
  bounds[1][1] - bounds[0][1],
  bounds[1][2] - bounds[0][2])

mikolalysenko

{
  "lowp": [
    [
      -1.0932616591453552,
      -0.6557616889476776
    ],
    [
      -0.8432616889476776,
      -0.405761674977839
    ],

mikolalysenko

var ndarray = require('ndarray')

//Context is a canvas 2d context
var imageData = context.createImageData(WIDTH, HEIGHT)

//Wrap pixels in an ndarray with shape [width x height x 4 (rgba)]
var ndpixels = ndarray(imageData.data, [WIDTH, HEIGHT, 4], [4, 4 * WIDTH, 1], 0)

//Now you can edit pixels as an ndarray!
// ...

mikolalysenko

//node.js logo hexagonal cellular automata thing
//
// author: Mikola Lysenko
// (c) 2015 MIT License
//

//Configuration parameters
var ON_STYLE    = '#80bd01'
var OFF_STYLE   = '#333'
var GRID_DIM    = 20

mikolalysenko

Merkleization

Introduction

Distributed systems

• Distributed systems = Computers + relativity
• Different machines have different clocks, perception of time, and views of the state of the system
• Challenges: Communication failures, hardware failures, latency, bandwidth
• All computer systems today are distributed at some level (nature obeys relativity after all), the extent to which this nature is exposed depends on the loads put upon the system.

mikolalysenko

name of display: :0
display: :0  screen: 0
direct rendering: Yes
server glx vendor string: Parallels Inc
server glx version string: 1.4
server glx extensions:
    GLX_EXT_texture_from_pixmap, GLX_SGIX_fbconfig
client glx vendor string: Parallels Inc
client glx version string: 1.4
client glx extensions:

mikolalysenko

Meta algorithms

A list of meta-algorithms

Automatic differentiation

Persistence

Path copying

mikolalysenko

import plotly.plotly as py
import numpy as np
import random

#Generate 3 random Gaussian clusters with 40 points each
clusters = [40, 40, 40]
x = []
y = []
z = []
for n in clusters:

mikolalysenko

var boxIntersect = require('box-intersect')
var segIntersect = require('robust-segment-intersect')

function getBoxes(positions, cells) {
  return cells.map(function(e) {
    var a = positions[e[0]]
    var b = positions[e[1]]
    return [ Math.min(a[0], b[0]), Math.min(a[1], b[1]), Math.max(a[0], b[0]), Math.max(a[1], b[1]) ]
  })  
}

mikolalysenko

var baboon = require("baboon-image")
var ndarray = require('ndarray')
var imshow = require('ndarray-imshow')
var translate = require('ndarray-translate-fft')

var baboon64 = ndarray(new Float64Array(baboon.data), baboon.shape, baboon.stride, 0)

translate.wrap(baboon64, [100, 100, 0])

imshow(baboon64)