Bug in pelita noiser

broken_noiser.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Broken noiser in pelita master"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7dabbcc3 ENH: More default gitignores\r\n"
     ]
    }
   ],
   "source": [
    "!git log --oneline | head -1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pelita.datamodel import CTFUniverse\n",
    "from pelita.game_master import ManhattanNoiser"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Define our test layout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_layout = \"\"\"\n",
    "    ##################\n",
    "    #                #\n",
    "    #                #\n",
    "    #    0        1  #\n",
    "    #                #\n",
    "    #                #\n",
    "    ##################\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Setup the test game.\n",
    "We want to know all possible positions of 0 that can be observed by bot 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "universe = CTFUniverse.create(test_layout, 2)\n",
    "noiser = ManhattanNoiser(universe.copy(), noise_radius=2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Noise the position for a couple of times and place a food item where 1 observes 0 to be."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(200):\n",
    "    new_uni = noiser.uniform_noise(universe.copy(), 1)\n",
    "    assert new_uni.bots[0].noisy\n",
    "    universe.food.add(new_uni.bots[0].current_pos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "##################\n",
      "#    .           #\n",
      "#   ...          #\n",
      "#  ..0.       1  #\n",
      "#   ...          #\n",
      "#                #\n",
      "##################\n",
      "Team(index=0, zone=(0, 8), score=0)\n",
      "\tBot(index=0, initial_pos=(5, 3), team_index=0, homezone=(0, 8), current_pos=(5, 3), noisy=False)\n",
      "Team(index=1, zone=(9, 17), score=0)\n",
      "\tBot(index=1, initial_pos=(14, 3), team_index=1, homezone=(9, 17), current_pos=(14, 3), noisy=False)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(universe.pretty)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That’s not a diamond shape …"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "test_layout = \"\"\"\n",
    "    ######################\n",
    "    #                    #\n",
    "    #                    #\n",
    "    #                    #\n",
    "    #                    #\n",
    "    #                    #\n",
    "    #    0            1  #\n",
    "    #                    #\n",
    "    #                    #\n",
    "    #                    #\n",
    "    #                    #\n",
    "    #                    #\n",
    "    ######################\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "universe = CTFUniverse.create(test_layout, 2)\n",
    "noiser = ManhattanNoiser(universe.copy(), noise_radius=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i in range(500):\n",
    "    new_uni = noiser.uniform_noise(universe.copy(), 1)\n",
    "    assert new_uni.bots[0].noisy\n",
    "    universe.food.add(new_uni.bots[0].current_pos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "######################\n",
      "#    .               #\n",
      "#   ...              #\n",
      "#  .....             #\n",
      "# .......            #\n",
      "#.........           #\n",
      "#....0....        1  #\n",
      "#.........           #\n",
      "# .......            #\n",
      "#  .....             #\n",
      "#   ...              #\n",
      "#                    #\n",
      "######################\n",
      "Team(index=0, zone=(0, 10), score=0)\n",
      "\tBot(index=0, initial_pos=(5, 6), team_index=0, homezone=(0, 10), current_pos=(5, 6), noisy=False)\n",
      "Team(index=1, zone=(11, 21), score=0)\n",
      "\tBot(index=1, initial_pos=(18, 6), team_index=1, homezone=(11, 21), current_pos=(18, 6), noisy=False)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(universe.pretty)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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