{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "## Dispersion"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "source": [
    "from src.user_keypad import UserKeypad\n",
    "from src.utils import random_property_rotation\n",
    "from IPython.display import Markdown, display\n",
    "from src.models import KeypadSize\n",
    "import numpy as np\n",
    "\n",
    "def keypad_md_table(keypad_list: np.ndarray, keypad_size: KeypadSize) -> str:\n",
    "    assert (keypad_size.numb_of_props == len(keypad_list))\n",
    "    keypad = keypad_list.reshape(-1, keypad_size.props_per_key)\n",
    "    table = \"|key|\" + \"\".join([f\"set{idx}|\" for idx in range(keypad_size.props_per_key)])\n",
    "    table += \"\\n|\" + \"\".join(\"-|\" for _ in range(keypad_size.props_per_key + 1))\n",
    "\n",
    "    for key in range(keypad_size.numb_of_keys):\n",
    "        table += f\"\\n|key{key+1}|\"\n",
    "        table += \"|\".join([str(prop) for prop in keypad[key]])\n",
    "        table += \"|\"\n",
    "    return table\n",
    "\n",
    "\n",
    "keypad_size = KeypadSize(numb_of_keys=5, props_per_key=4)\n",
    "props = [1, 10, 11, 100]\n",
    "keypad = []\n",
    "for key_numb in range(1,keypad_size.numb_of_keys+1):\n",
    "    keypad.extend([key_numb * prop for prop in props])\n",
    "\n",
    "demo_interface = UserKeypad(keypad_size=keypad_size, keypad=np.array(keypad))\n",
    "\n",
    "display(Markdown(keypad_md_table(demo_interface.keypad, keypad_size)))\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-03-14T11:14:49.006056Z",
     "start_time": "2025-03-14T11:14:48.964902Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ],
      "text/markdown": "|key|set0|set1|set2|set3|\n|-|-|-|-|-|\n|key1|1|10|11|100|\n|key2|2|20|22|200|\n|key3|3|30|33|300|\n|key4|4|40|44|400|\n|key5|5|50|55|500|"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 1
  },
  {
   "cell_type": "code",
   "source": [
    "demo_interface_matrix = demo_interface.keypad.reshape(-1, demo_interface.keypad_size.props_per_key)\n",
    "shuffled_keys = np.random.permutation(demo_interface_matrix)\n",
    "shuffled_keys_list = shuffled_keys.reshape(-1)\n",
    "display(Markdown(keypad_md_table(shuffled_keys_list, keypad_size)))"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-03-14T11:15:32.023001Z",
     "start_time": "2025-03-14T11:15:32.009838Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ],
      "text/markdown": "|key|set0|set1|set2|set3|\n|-|-|-|-|-|\n|key1|4|40|44|400|\n|key2|3|30|33|300|\n|key3|2|20|22|200|\n|key4|1|10|11|100|\n|key5|5|50|55|500|"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 3
  },
  {
   "cell_type": "code",
   "source": [
    "prop_rotation = np.random.choice(range(keypad_size.numb_of_keys), size=keypad_size.props_per_key, replace=False)\n",
    "dispersed_interface = random_property_rotation(\n",
    "    shuffled_keys,\n",
    "    prop_rotation\n",
    ")\n",
    "\n",
    "display(Markdown(keypad_md_table(dispersed_interface.reshape(-1), keypad_size)))\n"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2025-03-14T11:17:30.317806Z",
     "start_time": "2025-03-14T11:17:30.313082Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ],
      "text/markdown": "|key|set0|set1|set2|set3|\n|-|-|-|-|-|\n|key1|2|50|33|100|\n|key2|1|40|22|500|\n|key3|5|30|11|400|\n|key4|4|20|55|300|\n|key5|3|10|44|200|"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 5
  }
 ],
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