{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31mRunning cells with 'Python 3.10.8 ('venv': venv)' requires ipykernel package.\n",
      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
      "\u001b[1;31mCommand: '/home/fruchti/Projekte/Python/plotterstuff/venv/bin/python -m pip install ipykernel -U --force-reinstall'"
     ]
    }
   ],
   "source": [
    "from lib import plot\n",
    "import IPython\n",
    "import numpy as np\n",
    "from random import randint, randrange, choice as randchoice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "ename": "",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31mRunning cells with 'Python 3.10.8 ('venv': venv)' requires ipykernel package.\n",
      "\u001b[1;31mRun the following command to install 'ipykernel' into the Python environment. \n",
      "\u001b[1;31mCommand: '/home/fruchti/Projekte/Python/plotterstuff/venv/bin/python -m pip install ipykernel -U --force-reinstall'"
     ]
    }
   ],
   "source": [
    "a = plot.A6_PORTRAIT\n",
    "p_svg = plot.SVGPlotter('plots/globe.svg', a)\n",
    "p_hpgl = plot.HPGLPlotter(a, 'plots/globe_{index}.hpgl')\n",
    "p = plot.MultiPlotter()\n",
    "p.register_plotter(p_svg)\n",
    "p.register_plotter(p_hpgl)\n",
    "dia = np.min(a.size()) * 0.75\n",
    "\n",
    "def transform(r, theta, phi):\n",
    "    x = r * np.sin(theta) * np.cos(phi)\n",
    "    y = r * np.sin(theta) * np.sin(phi)\n",
    "    z = r * np.cos(theta)\n",
    "    \n",
    "    proj = np.array([[1, 0],\n",
    "        [0, 0.8],\n",
    "        [-0.0, 1.1]])\n",
    "    proj /= np.linalg.norm(proj, axis=0, keepdims=True)\n",
    "    return dia / 2 * proj.T @ [x, y, z] + a.centre()\n",
    "\n",
    "p.move_to(a.bottom_left())\n",
    "p.line_to(a.bottom_right())\n",
    "p.line_to(a.top_right())\n",
    "p.line_to(a.top_left())\n",
    "p.line_to(a.bottom_left())\n",
    "\n",
    "p.add_layer([0, 0.3, 1, 0.5])\n",
    "\n",
    "theta_range = np.linspace(0, np.pi, 12)\n",
    "phi_range = np.linspace(0, 2 * np.pi, 12)\n",
    "phi_offset = randchoice(phi_range)\n",
    "for theta in theta_range:\n",
    "    phi_offset += phi_range[0]\n",
    "    p.move_to(transform(1, theta, phi_range[0] + phi_offset))\n",
    "    for phi in phi_range[1:8]:\n",
    "        p.line_to(transform(1, theta, phi + phi_offset))\n",
    "\n",
    "p.add_layer([0, 0.8, 0, 0.5])\n",
    "\n",
    "theta_offset = randchoice(theta_range)\n",
    "for phi in phi_range:\n",
    "    theta_offset +=theta_range[0]\n",
    "    p.move_to(transform(1, theta_range[0] + theta_offset, phi))\n",
    "    for theta in theta_range[1:9]:\n",
    "        p.line_to(transform(1, theta + theta_offset, phi))\n",
    "\n",
    "p.finalise()\n",
    "\n",
    "IPython.display.SVG(filename=p_svg.file_name)"
   ]
  }
 ],
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