examples/adaptive_distance_fields/adaptive_distances.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "using Pkg\n",
    "pkg\"activate .\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import StaticArrays: SVector\n",
    "using RegionTrees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "include(\"adaptive_distance_fields.jl\")\n",
    "using .AdaptivelySampledDistanceFields: ASDF, evaluate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Cell: HyperRectangle{2,Float64}([-1.0, -1.0], [2.0, 2.0])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = x -> sqrt(sum((x - SVector(0, 0)).^2))\n",
    "adf = ASDF(s, SVector(-1., -1), SVector(2., 2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "using Plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt = plot(xlim=(-1, 1), ylim=(-1, 1), legend=nothing)\n",
    "\n",
    "x = range(-1, stop=1, length=50)\n",
    "y = range(-1, stop=1, length=50)\n",
    "contour!(plt, x, y, (x, y) -> evaluate(adf, SVector(x, y)), fill=true)\n",
    "\n",
    "for leaf in allleaves(adf)\n",
    "    v = hcat(collect(vertices(leaf.boundary))...)\n",
    "    plot!(plt, v[1,[1,2,4,3,1]], v[2,[1,2,4,3,1]], color=:white)\n",
    "end\n",
    "\n",
    "\n",
    "plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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