docs/tutorials/des_file_tutorial.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "7b055e45-862e-4af1-9d3a-7e721364c008",
   "metadata": {},
   "source": [
    "# *des-file* format: A tutorial"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fbb088dc-325c-41ec-af49-bcb9fa0178d1",
   "metadata": {
    "tags": []
   },
   "source": [
    "**Note:** This tutorial assumes a small amount of knowledge of [NetHack](https://en.wikipedia.org/wiki/NetHack). Skimming through the community tutorial on [des-file format](https://nethackwiki.com/wiki/Des-file_format) would also be helpful. \n",
    "\n",
    "**Note:** In case you are viewing the static version of this tutorial, the interactive version can be found [here](https://github.com/facebookresearch/minihack/blob/main/docs/tutorials/des_file_tutorial.ipynb)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "218b2037-90f8-4d8b-a361-a47ab08c13fd",
   "metadata": {
    "tags": []
   },
   "source": [
    "## What is a des-file?\n",
    "\n",
    "A _des-file_ is a file which describes a level in the game of NetHack. In MiniHack, we use des-files to easily define new environments. The des-files are specified in a human-readable domain-specific language (DSL), which has some powerful probabilistic features which enable easy specification of interesting distributions of levels in only a few lines. While there are many features of these files and the DSL used to specify them, in this tutorial we will highlight the most relevant ones, which are most useful for designing environments for RL research.\n",
    "\n",
    "## The Two Types of des-files: MAZE and ROOM\n",
    "\n",
    "There are two types of des-file, which have different properties in terms of how they define the layout of the level:\n",
    "* The ROOM-type des-file works by specifying a collection of ROOMs, possibly with SUBROOMs. Any of these rooms and subrooms can have their contents specified, as well as their approximate location and exact size. These rooms are then randomly places (loosely obeying the approximate location) on the map. Generally, the RANDOM_CORRIDORS command is then used to create random corridors enabling access to all the rooms on the map.\n",
    "* The MAZE-type des-file offers more control over defining the layout of the level. The layout can be \"drawn\" with ascii characters, and then contents can be specified to occupy certain locations on the level. The layout specified could only occupy part of the map, with the other parts being randomly generated."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fc4ede21",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importing helper visualisation functions\n",
    "from minihack.tiles.rendering import get_des_file_rendering\n",
    "\n",
    "import IPython.display\n",
    "def render_des_file(des_file, **kwargs):\n",
    "    image = get_des_file_rendering(des_file, **kwargs)\n",
    "    IPython.display.display(image)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "72e523ed-07c6-4e8e-90e4-55bdce8cd0f0",
   "metadata": {
    "tags": []
   },
   "source": [
    "### MAZE-type levels"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83d50278-cde8-4b37-aa60-235f6b2af170",
   "metadata": {
    "tags": []
   },
   "source": [
    "Let's look at a simple MAZE-type des-file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "717d21cb-601e-43e9-ab98-b71c3466dfca",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=80x80 at 0x7FBF29290580>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "MAZE: \"mylevel\", ' '\n",
    "FLAGS:premapped\n",
    "GEOMETRY:center,center\n",
    "MAP\n",
    ".....\n",
    ".....\n",
    ".....\n",
    ".....\n",
    ".....\n",
    "ENDMAP\n",
    "\"\"\"\n",
    "render_des_file(des_file, n_images=1, full_screen=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a0f65a8-ab0a-4ea5-b3f8-af18f1521112",
   "metadata": {
    "tags": []
   },
   "source": [
    "Here we can already see some basic structure of the des-file. The first line specifies the type (either MAZE: for maze-type or LEVEL: for room-type). The second line specifies a possible list of flags to apply to the level. Here we're using `premapped` so we can easily visualise the entire level. `GEOMETRY` determines where the following `MAP` definition will be on the whole screen, and `MAP` defines the map itself. `.` is a floor tile, and everything not specified becomes impassable rock.\n",
    "\n",
    "Let's experiment with GEOMETRY to see what it does:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4b2418a1-3be0-45f0-a756-124b32ad6c3b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Levels with geometry: GEOMETRY:left,top\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=3802x336 at 0x7FBF29290610>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Levels with geometry: GEOMETRY:center,center\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=3802x336 at 0x7FBEB824AB20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Levels with geometry: GEOMETRY:right,bottom\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=3802x336 at 0x7FBEB824AC10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "MAZE: \"mylevel\", ' '\n",
    "FLAGS:premapped\n",
    "GEOMETRY:{},{}\n",
    "MAP\n",
    ".....\n",
    ".....\n",
    ".....\n",
    ".....\n",
    ".....\n",
    "ENDMAP\n",
    "\"\"\"\n",
    "for geom_x, geom_y in [(\"left\", \"top\"), (\"center\", \"center\"), (\"right\", \"bottom\")]:\n",
    "    print(\"Levels with geometry: GEOMETRY:{},{}\".format(geom_x, geom_y))\n",
    "    render_des_file(des_file.format(geom_x, geom_y), n_images=3, full_screen=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c59525e-59e9-4941-b82b-420524ee4c5c",
   "metadata": {
    "tags": []
   },
   "source": [
    "Lets try making the map a bit more interesting. Feel free to play around and make an interesting design. Some constraints: all lines must be the same length (you can use spaces to fill up the ends of lines if you want), and the whole maze must be within 79 x 21 size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "73610370-a838-4345-8cd2-e9a86847a622",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=730x80 at 0x7FBF29300250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "MAZE: \"mylevel\", ' '\n",
    "FLAGS:premapped\n",
    "GEOMETRY:center,center\n",
    "MAP\n",
    ".....     .....\n",
    "...............\n",
    "...............\n",
    "...............\n",
    ".....     .....\n",
    "ENDMAP\n",
    "\"\"\"\n",
    "render_des_file(des_file, n_images=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "763a15f1-9818-43ab-85c8-3745a70eaea4",
   "metadata": {
    "tags": []
   },
   "source": [
    "So far we've just changed the shape of the map, but what about making it out of something other than floor and walls? You can use any of the map characters defined in the des-file format; see [here for the full list](https://nethackwiki.com/wiki/Des-file_format#Map_characters). For example, we could add a sink, some trees, a door, and some walls"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0f686d07-f418-44e8-bd5f-8eb78e0884c8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=826x111 at 0x7FBEB824AE50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "MAZE: \"mylevel\", ' '\n",
    "FLAGS:premapped\n",
    "GEOMETRY:center,center\n",
    "MAP\n",
    "|-----     ------\n",
    "|.....-- --.....|\n",
    "|.T.T...-....K..|\n",
    "|.......+.......|\n",
    "|.T.T...-.......|\n",
    "|.....-----.....|\n",
    "|-----     ------\n",
    "ENDMAP\n",
    "\"\"\"\n",
    "render_des_file(des_file, n_images=3, full_screen=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "173d5b1e-3b47-4bb6-8e45-f9cc001ec30f",
   "metadata": {
    "tags": []
   },
   "source": [
    "A good thing about MAZE levels is you can specify the starting point of the agent explicitly, using the `BRANCH` command. This command takes in two regions as input, and spawns the agent somewhere in the first region, as long as it's not in the second region. If you want the agent to spawn in a single spot, you can just pass the same coordinates twice. In the previous maps the agent has been spawning in a random location - lets try and spawn them in the middle of the four trees."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a52043a1-9d35-463e-a9e7-a8f0d1a1981a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=826x111 at 0x7FBEB8259250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "MAZE: \"mylevel\", ' '\n",
    "FLAGS:premapped\n",
    "GEOMETRY:center,center\n",
    "MAP\n",
    "|-----     ------\n",
    "|.....-- --.....|\n",
    "|.T.T...-....K..|\n",
    "|.......+.......|\n",
    "|.T.T...-.......|\n",
    "|.....-----.....|\n",
    "|-----     ------\n",
    "ENDMAP\n",
    "BRANCH: (3,3,3,3),(4,4,4,4)\n",
    "\"\"\"\n",
    "render_des_file(des_file, n_images=3, full_screen=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "278560c4-a5cc-4f95-af94-c3dac2a2ac38",
   "metadata": {
    "tags": []
   },
   "source": [
    "### ROOM-type levels\n",
    "\n",
    "Let's look at a simple ROOM-type des-file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "05c84ae3-7c78-430b-862c-cb9c18fd44b7",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=3802x336 at 0x7FBEB82593A0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "LEVEL: \"mylevel\"\n",
    "FLAGS: premapped\n",
    "\n",
    "ROOM: \"ordinary\" , lit, random, random, random {\n",
    "}\n",
    "ROOM: \"ordinary\" , lit, random, random, random {\n",
    "}\n",
    "\n",
    "RANDOM_CORRIDORS\n",
    "\"\"\"\n",
    "render_des_file(des_file, n_images=3, full_screen=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db392919-30b0-4b29-87bc-17b8badfe443",
   "metadata": {
    "tags": []
   },
   "source": [
    "This has a similar structure in the beginning of the file to the MAZE-type levels, using flags to specify some options. After that, several `ROOM`s are defined. The arguments to the `ROOM` command are:\n",
    "\n",
    "* type, which specifies the type of room (generally we'll just want ordinary)\n",
    "* lit or unlit - this controls how far the agent can see in the room\n",
    "* position, a tuple with values between 1 and 5 which roughly specifies the room location\n",
    "* align, a tuple of xalign and yalign. This specifies the alignment of the room within the position defined above\n",
    "    * xalign is one of left, half-left, center, half-right, right or random\n",
    "    * yalign is one of top, center, bottom or random.\n",
    "* size, a tuple of (height, width).\n",
    "\n",
    "Any of these can be left as `random`, which means they're randomly chosen. \n",
    "\n",
    "Let's experiments with each of these arguments in turn, to get an idea of what they do to just one room:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2c030aee-46a3-4b7f-a495-fe7c65ef55dc",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=3802x336 at 0x7FBEB824AE80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "LEVEL: \"mylevel\"\n",
    "FLAGS: premapped\n",
    "ROOM: \"ordinary\" , lit, random, random, random {\n",
    "}\n",
    "RANDOM_CORRIDORS\n",
    "\"\"\"\n",
    "render_des_file(des_file, n_images=3, full_screen=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "aff215bc-c58a-492c-a483-8940ec9da53c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Room placed with position:  1 , 1\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=3802x336 at 0x7FBEB824A910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Room placed with position:  1 , 5\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=3802x336 at 0x7FBEB82590A0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Room placed with position:  5 , 1\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=3802x336 at 0x7FBEB8259C10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Room placed with position:  5 , 5\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=3802x336 at 0x7FBEB8259CD0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "LEVEL: \"mylevel\"\n",
    "FLAGS: premapped\n",
    "\n",
    "ROOM: \"ordinary\" , lit, (XX,YY), random, random {\n",
    "}\n",
    "\n",
    "RANDOM_CORRIDORS\n",
    "\"\"\"\n",
    "for x,y in [(1,1), (1,5), (5,1), (5,5)]:\n",
    "    print(\"Room placed with position: \", x, \",\", y)\n",
    "    render_des_file(des_file.replace(\"XX\", str(x)).replace(\"YY\", str(y)), n_images=3, full_screen=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "743fe449-c2aa-4bf5-b362-dce2eb2ce81e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Room placed with align:  left , top\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=3802x336 at 0x7FBF29290580>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Room placed with align:  right , top\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=3802x336 at 0x7FBEB8259910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Room placed with align:  right , bottom\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=3802x336 at 0x7FBEB8259820>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Room placed with align:  center , center\n"
     ]
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAADtoAAAFQCAIAAAAEVdyAAAAogElEQVR4nO3dTW7j2LkG4GPD28jAgAiQ8wxqBV1qbkXsMjTOIgy3xYVkorgyD1CTjIuADGSQTWRWd8Ayc67KUbkp/ujQz4OGIZ/64HuA+05e5KN4FQAAACBBX758iX/98OHDXDcBAACA3tRbAAAAFuB67gsAAAAAAAAAAAAAAKmyjgwAAAAAAAAAAAAA9GQdGQAAAAAAAAAAAADoyToyAAAAAAAAAAAAANCTdWQAAAAAAAAAAAAAoCfryAAAAAAAAAAAAABAT9aRAQAAAAAAAAAAAICerCMDAAAAAAAAAAAAAD1ZRwYAAAAAAAAAAAAAerKODAAAAAAAAAAAAAD0ZB0ZAAAAAAAAAAAAAOjJOjIAAAAAAAAAAAAA0JN1ZAAAAAAAAAAAAACgJ+vIAAAAAAAAAAAAAEBP1pEBAAAAAAAAAAAAgJ6sIwMAAAAAAAAAAAAAPVlHBgAAAAAAAAAAAAB6so4MAAAAAAAAAAAAAPRkHRkAAAAAAAAAAAAA6Mk6MgAAAAAAAAAAAADQk3VkAAAAAAAAAAAAAKAn68gAAAAAAAAAAAAAQE/WkQEAAAAAAAAAAACAnqwjAwAAAAAAAAAAAAA9WUcGAAAAAAAAAAAAAHqyjgwAAAAAAAAAAAAA9GQdGQAAAAAAAAAAAADoyToyAAAAAAAAAAAAANCTdWQAAAAAAAAAAAAAoCfryAAAAAAAAAAAAABAT9aRAQAAAAAAAAAAAICerCMDAAAAAAAAAAAAAD1ZRwYAAAAAAAAAAAAAerKODAAAAAAAAAAAAAD0ZB0ZAAAAAAAAAAAAAOjJOjIAAAAAAAAAAAAA0JN1ZAAAAAAAAAAAAACgJ+vIAAAAAAAAAAAAAEBP1pEBAAAAAAAAAAAAgJ6sIwMAAAAAAAAAAAAAPVlHBgAAAAAAAAAAAAB6so4MAAAAAAAAAAAAAPRkHRkAAAAAAAAAAAAA6Mk6MgAAAAAAAAAAAADQk3VkAAAAAAAAAAAAAKAn68gAAAAAAAAAAAAAQE/WkQEAAAAAAAAAAACAnqwjAwAAAAAAAAAAAAA9WUcGAAAAAAAAAAAAAHqyjgwAAAAAAAAAAAAA9GQdGQAAAAAAAAAAAADoyToyAAAAAAAAAAAAANCTdWQAAAAAAAAAAAAAoCfryAAAAAAAAAAAAABAT9aRAQAAAAAAAAAAAICerCMDAAAAAAAAAAAAAD1ZRwYAAAAAAAAAAAAAerKODAAAAAAAAAAAAAD0ZB0ZAAAAAAAAAAAAAOjJOjIAAAAAAAAAAAAA0JN1ZAAAAAAAAAAAAACgJ+vIAAAAAAAAAAAAAEBP1pEBAAAAAAAAAAAAgJ6sIwMAAAAAAAAAAAAAPVlHBgAAAAAAAAAAAAB6so4MAAAAAAAAAAAAAPRkHRkAAAAAAAAAAAAA6Mk6MgAAAAAAAAAAAADQk3VkAAAAAAAAAAAAAKAn68gAAAAAAAAAAAAAQE/WkQEAAAAAAAAAAACAnqwjAwAAAAAAAAAAAAA9WUcGAAAAAAAAAAAAAHqyjgwAAAAAAAAAAAAA9GQdGQAAAAAAAAAAAADoyToyAAAAAAAAAAAAANCTdWQAAAAAAAAAAAAAoCfryAAAAAAAAAAAAABAT9aRAQAAAAAAAAAAAICebua+AAAL9+3bt+5z0zRH/1oUxY/z7djRPzlfzHn3+S15AAAAuBDqrfOj8+6zegsAACREvXV+dN59Vm8BOJN1ZABGEfeWq6urEMK6qkIIq6zszje/3LaHIYT7zebHP7KuKufLOP/b42P361vy8LTb/fh3AAAApqfeOo/P1VsAACBR6q3z+Fy9BWAM1pEBGEX36GSe5+GH9rLLfg0hbMJ/H6+s//6vzS+3IYRff/st/jvOl3H+R/MAAABwIdRb5/G5egsAACRKvXUen6u3AIzhau4LALBMX79+fcvYtq7HvgmX4NXnbn/U5cHztQC8xZcvX+JfP3z4MNdNAFgw9ZaYegvAGNRbACag3hJTbwEYg29HBmBc9d//9Zax9lHL58M+/rXjfBnn4c15AAAAuDTqrfOYegsAACRKvXUeU28BGJB1ZAAuyN8eH9v3whzVHufLOAcAAHgnLq2OOR/2HAAA4J24tDrmfNhzABiWdWQARvTTPrPKyvZZzM0vt/H57q5cV9WP74hxnvT52/MAAABwUdRb5+otAACwAOqtc/UWgPFYRwZgLG9/0U/XYX797bejv9AWXecLOO+RBwAAgEug3jqPz9VbAAAgUeqt8/hcvQVgcFdzXwCAZVpX1dxXIGFPu93cVwAgAV++fIl//fDhw1w3AWDB1FvOod4C8BbqLQATUG85h3oLwFv4dmQARvG021UP+xDCiWclV1nZfng+7NvPz4f9/WYTP4h5dHL6V/MXO7+7K/9QHv7XDAAAwMTUW/Pxr+otAACQKPXWfPyregvAGKwjAzCW9s0v4ZdNURSvDnz9umk/FHe76uF7mfnxpTBHJ6d/NX+x838oD68OAAAAzEK9NR/UWwAAIH3qrfmg3gIwpqu5LwDAYn39+rX9UBTFuqq6pydb7ZOX8cDU92NCT7vdH8rD1PcDIE3eZgvANNRbOuotAGNQbwGYhnpLR70FYAy+HRmAS3H6xTFHJz990Yz5i5oPwSOzAADAe3FRdcy8egsAANDPRdUx8+otAJfveu4LALBY27ouiqJ7VvL5sH91YFvX7a8/fXHM0Yn5tOb/aB4AAAAuhHprXr0FAAAWQL01r94CMKqruS8AwGJ1b/B52u3az/EbXuI+0w2wVPH/i9+Sh4mvB0CivM0WgGmot3TUWwDGoN4CMA31lo56C8AYbua+AACL9dNXvbQDbZPRYRbvD+UBAADgcqi3xNRbAAAgUeotMfUWgMFZRwZgLHmeP+Z50zRtfYkfpvz/A7dPu91Hz9cu2ufd7g/lYfobAgAA/C/qLR31FgAASJd6S0e9BWAM1pEBGEvTNEcnz4d9W2PaZyh/HGDB5AEAAEiUOkNMHgAAgESpM8TkAYDBXc99AQDeke6Ryh+freQdkgcAACBR6gwxeQAAABKlzhCTBwDOZB0ZAAAAAAAAAAAAAOjJOjIAE2lf6QIteQAAABKlzhCTBwAAIFHqDDF5AOB81pEBGMu2rouiKIri9MC2rqe8FXORBwAAIFHqDDF5AAAAEqXOEJMHAAZnHRmAEa2ral1VpwcmuwyzkwcAACBR6gwxeQAAABKlzhCTBwCGZR0ZgLHcbzarrFxl5dF5956XduDEX8iyMjs5YD6h+fPzAAAAMAv11nxMvQUAABKl3pqPqbcADO5m7gsAsFh5nj/medM0uxBCCF1X6T68DNw+7XYz3ZHpyAMAAJAodYaYPAAAAIlSZ4jJAwCDs44MwFiapjlz4PDy5OUbmb/k+fPzAAAAMAv11nxMvQUAABKl3pqPqbcADO567gsAAAAAAAAAAAAAAKmyjgwAAAAAAAAAAAAA9GQdGYCJPB/2Rz95z+QBAABIlDpDTB4AAIBEqTPE5AGA81lHBmAs27ouiqIoivhwlZXdz3ZgW9fz3I9pyQMAAJAodYaYPAAAAIlSZ4jJAwCDs44MwIjWVbWuqtMDk12G2ckDAACQKHWGmDwAAACJUmeIyQMAw7KODMBY7jebVVa2j06eGJjySsxIHgAAgESpM8TkAQAASJQ6Q0weABjczdwXAGCx8jx/zPOmaXYhhJdXurw2cPu0201/PSYmDwAAQKLUGWLyAAAAJEqdISYPAAzOOjIAY2ma5ujk+bBva8zzYf/qAAsmDwAAQKLUGWLyAAAAJEqdISYPAAzueu4LAPCOdI9UeqsLQR4AAIBkqTPE5AEAAEhU6nWmPOzKw+6z7+4dSOp5AGB21pEBAAAAAAAAAIBklIfvW8gPH4ONZAC4BNaRAZhI+0oXaMkDAACQKHWGmDwAAACJSrrOlIfdXRk+3T20Px8+zn2h9CWdBwAuhHVkAMayreuiKIqiOD2wrespb8Vc5AEAAEiUOkNMHgAAgEQtrM58yx66n/SwsDwAcAlu5r4AAEu2rqoQwtP/fjlOO8A7IQ8AAECi1Bli8gAAACRqSXXm94e7T59DCOH3j+Huc/iYzX2hBC0pDwBcAt+ODMBY7jebVVausvLovHvPSztw4i9kWZmdHDCf0Pz5eQAAAJiFems+pt4CAACJWky9fSqzT3cPd5/D7x+/7yJ/2z88ldnn3a79b+L7JDqv3gIwON+ODMBY8jx/zPOmadrC13WV7sPLwO2JBy5ZDHkAAAASpc4QkwcAACBRy6gzT+X3r0H+tn+4Ku/aD0cnvMUy8gDARbGODMBYmqY5c+Dw8uTlG5m/5Pnz8wAAADAL9dZ8TL0FAAAStaR6e1Xefds/dIvI7a8z3ifFefUWgMFZRwYAAAAAAAAAAC7den/4/gXJ+7t//juEEP7xn+//5KuRAWBe13NfAAAAAAAAAAAA4OfW+8PHqjo67HaRf/wnAGAa1pEBmMjzYX/0k/dMHgAAgESpM8TkAQAASFTydaZ8+PNfw1/+VH26e2gPLCKfI/k8AHABrCMDMJZtXRdFURRFfLjKyu5nO7Ct63nux7TkAQAASJQ6Q0weAACARC2pzjyVWfzrt72N5D9sSXkA4ELczH0BAJZsXVUhhKfd7vQA74Q8AAAAiVJniMkDAACQqMXUmfX+EF6Wj+PP/CGLyQMAF8K3IwMwlvvNZpWV7aOTJwamvBIzkgcAACBR6gwxeQAAABKlzhCTBwAG59uRARhLnuePed40Tfs05Y9d5WXg9sQDlyyGPAAAAIlSZ4jJAwAAkCh1hpg8ADA468gAjKVpmqOT58O+rTHPh/2rAyyYPAAAAIlSZ4jJAwAAkCh1hpg8ADC467kvAMA70j1S6a0uBHkAAACSpc4QkwcAACBR6gwxeQDgTNaRAQAAAAAAAAAAAICerCMDMJH2lS7QkgcAACBR6gwxeQAAABKlzhCTBwDOZx0ZgLFs67ooiqIoTg9s63rKWzEXeQAAABKlzhCTBwAAIFHqDDF5AGBw1pEBGNG6qtZVdXpgssswO3kAAAASpc4QkwcAACBR6gwxeQBgWNaRARjL/WazyspVVh6dd+95aQdO/IUsK7OTA+YTmj8/DwAAALNQb83H1FsAACBR6q35mHoLwOBu5r4AAIuV5/ljnjdNswshhNB1le7Dy8Dt02430x2ZjjwAAACJUmeIyQMAAJAodYaYPAAwOOvIAIylaZozBw4vT16+kflLnj8/DwAAALNQb83H1FsAACBR6q35mHoLwOCu574AAAAAAAAAAAAAAJAq68gAAAAAAAAAAAAAQE/WkQGYyPNhf/ST90weAACARKkzxOQBAABIlDpDTB4AOJ91ZADGsq3roiiKoogPV1nZ/WwHtnU9z/2YljwAAACJUmeIyQMAAJAodYaYPAAwOOvIAIxoXVXrqjo9MNllmJ08AAAAiVJniMkDAACQKHWGmDwAMCzryACM5X6zWWVl++jkiYEpr8SM5AEAAEiUOkNMHgAAgESpM8TkAYDB3cx9AQAWK8/zxzxvmmYXQnh5pctrA7dPu93012Ni8gAAACRKnSEmDwAAQKLUGWLyAMDgrCMDMJamaY5Ong/7tsY8H/avDrBg8gAAACRKnSEmDwAAQKLUGWLyAMDgrue+AADvSPdIpbe6EOQBAABIljpDTB4AAIBEqTPE5AGAM1lHBgAAAAAAAAAAAAB6so4MwETaV7pASx4AAIBEqTPE5AEAAEiUOkNMHgA4n3VkAMayreuiKIqiOD2wrespb8Vc5AEAAEiUOkNMHgAAgESpM8TkAYDBWUcGYETrqlpX1emByS7D7OQBAABIlDpDTB4AAIBEqTPE5AGAYVlHBmAs95vNKitXWXl03r3npR048ReyrMxODphPaP78PAAAAMxCvTUfU28BAIBEqbfmY+otAIO7mfsCACxWnuePed40zS6EEELXVboPLwO3T7vdTHdkOvIAAAAkSp0hJg8AAECi1Bli8gDA4KwjAzCWpmnOHDi8PHn5RuYvef78PAAAAMxCvTUfU28BAIBEqbfmY+otAIO7nvsCAAAAAAAAAAAAAECqrCMDAAAAAAAAAAAAAD1ZRwZgIs+H/dFP3jN5AAAAEqXOEJMHAAAgUeoMMXkA4HzWkQEYy7aui6IoiiI+XGVl97Md2Nb1PPdjWvIAAAAkSp0hJg8AAECi1Bli8gDA4KwjAzCidVWtq+r0wGSXYXbyAAAAJEqdISYPAABAotQZYvIAwLCsIwMwlvvNZpWV7aOTJwamvBIzkgcAACBR6gwxeQAAABKlzhCTBwAGdzP3BQBYrDzPH/O8aZpdCOHllS6vDdw+7XbTX4+JyQMAAJAodYaYPAAAAIlSZ4jJAwCDs44MwFiapjk6eT7s2xrzfNi/OsCCyQMAAJAodYaYPAAAAIlSZ4jJAwCDu577AgC8I90jld7qQpAHAAAgWeoMMXkAAAASpc4QkwcAzmQdGQAAAAAAAAAAAADoyToyABNpX+kCLXkAAAASpc4QkwcAACBR6gwxeQDgfNaRARjLtq6LoiiK4vTAtq6nvBVzkQcAACBR6gwxeQAAABKlzhCTBwAGZx0ZgBGtq2pdVacHJrsMs5MHAAAgUeoMMXkAAAASpc4QkwcAhmUdGYCx3G82q6xcZeXRefeel3bgxF/IsjI7OWA+ofnz8wAAADAL9dZ8TL0FAAASpd6aj6m3AAzuZu4LALBYeZ4/5nnTNLsQQghdV+k+vAzcPu12M92R6cgDAACQKHWGmDwAAACJUmeIyQMAg7OODMBYmqY5c+Dw8uTlG5m/5Pnz8wAAADAL9dZ8TL0FAAASpd6aj6m3AAzueu4LAAAAAAAAAAAAAACpso4MAAAAAAAAAAAAAPRkHRmAiTwf9kc/ec/kAQAASJQ6Q0weAACARKkzxOQBgPNZRwZgLNu6LoqiKIr4cJWV3c92YFvX89yPackDAACQKHWGmDwAAACJUmeIyQMAg7OODMCI1lW1rqrTA5NdhtnJAwAAkCh1hpg8AAAAiVJniMkDAMOyjgzAWO43m1VWto9OnhiY8krMSB4AAIBEqTPE5AEAAEiUOkNMHgAY3M3cFwBgsfI8f8zzpml2IYSXV7q8NnD7tNtNfz0mJg8AAECi1Bli8gAAACRKnSEmDwAMzjoyAGNpmubo5Pmwb2vM82H/6gALJg8AAECi1Bli8gAAACRKnSEmDwAM7nruCwDwjnSPVHqrC0EeAACAZKkzxOQBAABIlDpDTB4AOJN1ZAAAAAAAAAAAAACgJ+vIAEykfaULtOQBAABIlDpDTB4AAIBEqTPE5AGA81lHBmAs27ouiqIoitMD27qe8lbMRR4AAIBEqTPE5AEAAEiUOkNMHgAYnHVkAEa0rqp1VZ0emOwyzE4eAACARKkzxOQBAABIlDpDTB4AGJZ1ZADGcr/ZrLJylZVH5917XtqBE38hy8rs5ID5hObPzwMAAMAs1FvzMfUWAABIlHprPqbeAjC4m7kvAMBi5Xn+mOdN0+xCCCF0XaX78DJw+7TbzXRHpiMPAABAotQZYvIAAAAkSp0hJg8ADM46MgBjaZrmzIHDy5OXb2T+kufPzwMAAMAs1FvzMfUWAABIlHprPqbeAjC467kvAAAAAAAAAAAAAACkyjoyAAAAAAAAAAAAANCTdWQAJvJ82B/95D2TBwAAIFHqDDF5AAAAEqXOEJMHAM5nHRmAsWzruiiKoijiw1VWdj/bgW1dz3M/piUPAABAotQZYvIAAAAkSp0hJg8ADM46MgAjWlfVuqpOD0x2GWYnDwAAQKLUGWLyAAAAJEqdISYPAAzLOjIAY7nfbFZZ2T46eWJgyisxI3kAAAASpc4QkwcAACBR6gwxeQBgcDdzXwCAxcrz/DHPm6bZhRBeXuny2sDt0243/fWYmDwAAACJUmeIyQMAAJAodYaYPAAwOOvIAIylaZqjk+fDvq0xz4f9qwMsmDwAAACJUmeIyQMAAJAodYaYPAAwuOu5LwDAO9I9UumtLgR5AAAAkqXOEJMHAAAgUeoMMXkA4EzWkQEAAAAAAAAAAACAnqwjAzCR9pUu0JIHAAAgUeoMMXkAAAASpc4QkwcAzmcdGYCxbOu6KIqiKE4PbOt6ylsxF3kAAAASpc4QkwcAACBR6gwxeQBgcNaRARjRuqrWVXV6YLLLMDt5AAAAEqXOEJMHAAAgUeoMMXkAYFjWkQEYy/1ms8rKVVYenXfveWkHTvyFLCuzkwPmE5o/Pw8AAACzUG/Nx9RbAAAgUeqt+Zh6C8Dgbua+AACLlef5Y543TbMLIYTQdZXuw8vA7dNuN9MdmY48AAAAiVJniMkDAACQKHWGmDwAMDjryACMpWmaMwcOL09evpH5S54/Pw8AAACzUG/Nx9RbAAAgUeqt+Zh6C8Dgrue+AAAAAAAAAAAAAACQKuvIAAAAAAAAAAAAAEBP1pEBmMjzYX/0k/dMHgAAgESpM8TkAQAASJQ6Q0weADifdWQAxrKt66IoiqKID1dZ2f1sB7Z1Pc/9mJY8AAAAiVJniMkDAACQKHWGmDwAMDjryACMaF1V66o6PTDZZZidPAAAAIlSZ4jJAwAAkCh1hpg8ADAs68gAjOV+s1llZfvo5ImBKa/EjOQBAABIlDpDTB4AAIBEqTPE5AGAwd3MfQEAFivP88c8b5pmF0J4eaXLawO3T7vd9NdjYvIAAAAkSp0hJg8AAECi1Bli8gDA4KwjAzCWpmmOTp4P+7bGPB/2rw6wYPIAAAAkSp0hJg8AAECi1Bli8gDA4K7nvgAA70j3SKW3uhDkAQAASJY6Q0weAACARKkzxOQBgDNZRwYAAAAAAAAAAAAAerKODMBE2le6QEseAACARKkzxOQBAABIlDpDTB4AOJ91ZADGsq3roiiKojg9sK3rKW/FXOQBAABIlDpDTB4AAIBEqTPE5AGAwVlHBmBE66paV9Xpgckuw+zkAQAASJQ6Q0weAACARKkzxOQBgGFZRwZgLPebzSorV1l5dN6956UdOPEXsqzMTg6YT2j+/DwAAADMQr01H1NvAQCARKm35mPqLQCDu5n7AgAsVp7nj3neNM0uhBBC11W6Dy8Dt0+73Ux3ZDryAAAAJEqdISYPAABAotQZYvIAwOCsIwMwlqZpzhw4vDx5+UbmL3n+/DwAAADMQr01H1NvAQCARKm35mPqLQCDu577AgAAAAAAAAAAAABAqqwjAwAAAAAAAAAAAAA9WUcGYCLPh/3RT94zeQAAABKlzhCTBwAAIFHqDDF5AOB81pEBGMu2rouiKIoiPlxlZfezHdjW9Tz3Y1ryAAAAJEqdISYPAABAotQZYvIAwOCsIwMwonVVravq9MBkl2F28gAAACRKnSEmDwAAQKLUGWLyAMCwrCMDMJb7zWaVle2jkycGprwSM5IHAAAgUeoMMXkAAAASpc4QkwcABncz9wUAWKw8zx/zvGmaXQjh5ZUurw3cPu1201+PickDAACQKHWGmDwAAACJUmeIyQMAg7OODMBYmqY5Onk+7Nsa83zYvzrAgskDAACQKHWGmDwAAACJUmeIyQMAg7ue+wIAvCPdI5Xe6kKQBwAAIFnqTFrKw6487D6P9mVO8gAAACRKnSEmDwCcyToyAAAAAADLVB6+byE/fAzjbSQDAAAAALxz1pEBmEj7ShdoyQMAAJAodSYh5WF3V4ZPdw/tz4ePw/+fkAcAACBR6gwxeQDgfNaRARjLtq6LoiiK4vTAtq6nvBVzkQcAACBR6kzSvmUP3c9ByAMAAJAodYaYPAAwuJu5LwDAkq2rKoTw9L/fhdoO8E7IAwAAkCh1Jl2/P9x9+hxCCL9/DHefw8dsgL8pDwAAQKLUGWLyAMCwfDsyAGO532xWWbnKyqPz7j0v7cCJv5BlZXZywHxC8+fnAQAAYBbqbaLzT2X26e7h7nP4/eP3XeRv+4enMvu827X/9fv76i0AAJAo9dZ8TL0FYHC+HRmAseR5/pjnTdO0//te11W6Dy8DtyceuGQx5AEAAEiUOpOip/L71yB/2z9clXfth6OTfuQBAABIlDpDTB4AGJx1ZADG0jTNmQOHlycv38j8Jc+fnwcAAIBZqLfpzl+Vd9/2D90icvvrmX9fvQUAABKl3pqPqbcADM46MgAAAAAAi7LeH75/QfL+7p//DiGEf/zn+z+d89XIAAAAAAC86nruCwAAAAAAwMDW+8PHqjo67HaRf/wnAAAAAAB6s44MwESeD/ujn7xn8gAAACRKnUlM+fDnv4a//Kn6dPfQHgy7iCwPAABAotQZYvIAwPmsIwMwlm1dF0VRFEV8uMrK7mc7sK3ree7HtOQBAABIlDqTrqcyi3/9th9gI1keAACARKkzxOQBgMHdzH0BAJZsXVUhhKfd7vQA74Q8AAAAiVJnErXeH8LL8nH8+dw/Kw8AAECa1Bli8gDAsHw7MgBjud9sVlnZPjp5YmDKKzEjeQAAABKlzhCTBwAAIFHqDDF5AGBwvh0ZgLHkef6Y503TtE9T/thVXgZuTzxwyWLIAwAAkCh1hpg8AAAAiVJniMkDAIOzjgzAWJqmOTp5PuzbGvN82L86wILJAwAAkCh1hpg8AAAAiVJniMkDAIO7nvsCALwj3SOV3uryqvKwKw+7z+/m6VJ5AAAAEqXOEJMHAAAgUeoMMXkA4EzWkQHgIpSH71vIDx/D+9lIBgAAAAAAAAAAUmcdGYCJtK904VXlYXdXhk93D+3Ph49zX2h88gAAACRKnSEmDwAAQKLUGWLyAMD5rCMDMJZtXRdFURTF6YFtXU95q4v1LXvofi6SPAAAAIlSZ4jJAwAAkCh1hpg8ADC4m7kvAMCSrasqhPC0250eIITw+8Pdp88hhPD7x3D3OXzM5r7QCOQBAABIlDpDTB4AAIBEqTPE5AGAYfl2ZADGcr/ZrLJylZVH5917XtqBE38hy8rs5MAy5p/K7NPdw93n8PvH77vI3/YPT2X2ebdr/5v4PiPNn58HAACAWai35mPqLQAAkCj11nxMvQVgcL4dGYCx5Hn+mOdN07TrtF1X6T68DNyeeOBy8Z7K71+D/G3/cFXetR+OTpZBHgAAgESpM8TkAQAASJQ6Q0weABicdWQAxtI0zZkDh5cnL98o3fmr8u7b/qFbRG5/nfE+Y8yfnwcAAIBZqLfmY+otAACQKPXWfEy9BWBw1pEBYE7r/eH7FyTv7/757xBC+Md/vv/Tkr4aGQAAAAAAAAAAWKrruS8AAO/den/4WFVHh90u8o//BAAAAAAAAAAAcDmsIwMwkefD/ugn/0/58Oe/hr/8qfp099AeLHsRWR4AAIBEqTPE5AEAAEiUOkNMHgA4n3VkAMayreuiKIqiiA9XWdn9bAe2dT3P/S7JU5nFv37bL3AjWR4AAIBEqTPE5AEAAEiUOkNMHgAY3M3cFwBgydZVFUJ42u1OD7DeH8LL8nH8eWHkAQAASJQ6Q0weAACARKkzxOQBgGH5dmQAxnK/2ayysn108sTAlFdiRvIAAAAkSp0hJg8AAECi1Bli8gDA4K7mvgAAC/ft27fuc9M0R/969PKXdr4dO/on54s57z6/JQ8AcMKXL1/iXz98+DDXTQB4D9Rb50fn3Wf1FoAzqbcATEm9dX503n1WbwE4083cFwBgmeLecnV1FV7e5BI/QLn55bZ7vcv9ZvPjH1lXlfNlnP/t8bH79S15OPFKIAAAgCmpt87jc/UWAABIlHrrPD5XbwEYg3VkAEbRPTqZ53n4ob3ssl9DCJvw38cr67//a/PLbQjh199+i/+O82Wc/9E8AAAAXAj11nl8rt4CAACJUm+dx+fqLQBjuJr7AgAs09evX98ytq3rsW/CJXj1udsfdXnwfC0Ab+FttgBMQL0lpt4CMAb1FoAJqLfE1FsAxuDbkQEYV/33f71lrH3U8vmwj3/tOF/GeXhzHgAAAC6Neus8pt4CAACJUm+dx9RbAAZkHRmAC/K3x8f2vTBHtcf5Ms4BAADeiUurY86HPQcAAHgnLq2OOR/2HACGZR0ZgBH9tM+ssrJ9FnPzy218vrsr11X14ztinCd9/vY8AAAAXBT11rl6CwAALIB661y9BWA81pEBGMvbX/TTdZhff/vt6C+0Rdf5As575AEAAOASqLfO43P1FgAASJR66zw+V28BGNzV3BcAYJnWVTX3FUjY02439xUASMCXL1/iXz98+DDXTQBYMPWWc6i3ALyFegvABNRbzqHeAvAWvh0ZgFGssjKE8HzY32828YOVRyenfzX/jucVWgAA4CKot+bPm1dvAQCAi6Demj9vXr0F4Oeu574AAAv340tejk5O/2r+nc8DAABciEurS+bTmgcAALgQl1aXzKc1DwAnXM19AQCWyet+OIfX/QDwFt5mC8AE1FvOod4C8BbqLQATUG85h3oLwFvczH0BABbr9Itdjk5++iIY8+9q3ut+AACAy3FRdcl8WvPqLQAAcDkuqi6ZT2tevQXgLa7nvgAAi/XTF7scnZg3/+MJAADA7C6tLplPax4AAOBCXFpdMp/WPAD81NXcFwBgmbzuh3N43Q8Ab+FttgBMQL3lHOotAG+h3gIwAfWWc6i3ALyFdWQAAACS5H+vBQAAYAHUWwAAABbgeu4LAAAAAAAAAAAAAACpso4MAAAAAAAAAAAAAPRkHRkAAAAAAAAAAAAA6Mk6MgAAAAAAAAAAAADQk3VkAAAAAAAAAAAAAKAn68gAAAAAAAAAAAAAQE/WkQEAAAAAAAAAAACAnqwjAwAAAAAAAAAAAAA9WUcGAAAAAAAAAAAAAHqyjgwAAAAAAAAAAAAA9GQdGQAAAAAAAAAAAADoyToyAAAAAAAAAAAAANCTdWQAAAAAAAAAAAAAoCfryAAAAAAAAAAAAABAT9aRAQAAAAAAAAAAAICerCMDAAAAAAAAAAAAAD1ZRwYAAAAAAAAAAAAAerKODAAAAAAAAAAAAAD0ZB0ZAAAAAAAAAAAAAOjJOjIAAAAAAAAAAAAA0JN1ZAAAAAAAAAAAAACgJ+vIAAAAAAAAAAAAAEBP1pEBAAAAAAAAAAAAgJ6sIwMAAAAAAAAAAAAAPVlHBgAAAAAAAAAAAAB6so4MAAAAAAAAAAAAAPRkHRkAAAAAAAAAAAAA6Mk6MgAAAAAAAAAAAADQk3VkAAAAAAAAAAAAAKAn68gAAAAAAAAAAAAAQE/WkQEAAAAAAAAAAACAnqwjAwAAAAAAAAAAAAA9WUcGAAAAAAAAAAAAAHqyjgwAAAAAAAAAAAAA9GQdGQAAAAAAAAAAAADoyToyAAAAAAAAAAAAANCTdWQAAAAAAAAAAAAAoCfryAAAAAAAAAAAAABAT9aRAQAAAAAAAAAAAICerCMDAAAAAAAAAAAAAD1ZRwYAAAAAAAAAAAAAerKODAAAAAAAAAAAAAD0ZB0ZAAAAAAAAAAAAAOjJOjIAAAAAAAAAAAAA0JN1ZAAAAAAAAAAAAACgJ+vIAAAAAAAAAAAAAEBP1pEBAAAAAAAAAAAAgJ6sIwMAAAAAAAAAAAAAPVlHBgAAAAAAAAAAAAB6so4MAAAAAAAAAAAAAPRkHRkAAAAAAAAAAAAA6Mk6MgAAAAAAAAAAAADQk3VkAAAAAAAAAAAAAKAn68gAAAAAAAAAAAAAQE/WkQEAAAAAAAAAAACAnqwjAwAAAAAAAAAAAAA9WUcGAAAAAAAAAAAAAHqyjgwAAAAAAAAAAAAA9GQdGQAAAAAAAAAAAADoyToyAAAAAAAAAAAAANCTdWQAAAAAAAAAAAAAoCfryAAAAAAAAAAAAABAT9aRAQAAAAAAAAAAAICerCMDAAAAAAAAAAAAAD39H5RjGtxvsKaMAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=3802x336 at 0x7FBEB8259F10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "LEVEL: \"mylevel\"\n",
    "FLAGS: premapped\n",
    "\n",
    "ROOM: \"ordinary\" , lit, (3,3), (xalign,yalign), (10,10) {\n",
    "}\n",
    "\n",
    "RANDOM_CORRIDORS\n",
    "\"\"\"\n",
    "for xalign,yalign in [(\"left\", \"top\"), (\"right\", \"top\"), (\"right\", \"bottom\"), (\"center\", \"center\")]:\n",
    "    print(\"Room placed with align: \", xalign, \",\", yalign)\n",
    "    render_des_file(des_file.replace(\"xalign\", xalign).replace(\"yalign\", yalign), n_images=3, full_screen=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30fee2ec-8348-4e86-a500-990f3db33b3c",
   "metadata": {
    "tags": []
   },
   "source": [
    "When defining a ROOM-type level, we can also place subrooms within rooms. These subrooms are initialised in a similar way to ROOMs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "38b25cf0-e79a-4249-a4bb-357ed092b474",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=346x111 at 0x7FBEB8259940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "LEVEL: \"mylevel\"\n",
    "FLAGS: premapped\n",
    "\n",
    "ROOM: \"ordinary\" , lit, (3,3), (center,center), (5,5) {\n",
    "    SUBROOM: \"ordinary\", lit, (0,0), (2,2) {\n",
    "    }\n",
    "}\n",
    "\n",
    "RANDOM_CORRIDORS\n",
    "\"\"\"\n",
    "render_des_file(des_file, n_images=3, full_screen=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d3e9f3bc-ce0a-46de-ae92-2b6a16224f2d",
   "metadata": {
    "tags": []
   },
   "source": [
    "Finally, we should probably explain the `RANDOM_CORRIDORS` command. This command creates random corridors between all the rooms. Look what happens if we don't include it (we won't be able to get between the rooms)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a7b99c4f-89dc-4c2f-889a-fb5258ea341f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=3802x336 at 0x7FBEB8259DC0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "LEVEL: \"mylevel\"\n",
    "FLAGS: premapped\n",
    "\n",
    "ROOM: \"ordinary\" , lit, random, random, random {\n",
    "}\n",
    "ROOM: \"ordinary\" , lit, random, random, random {\n",
    "}\n",
    "\"\"\"\n",
    "render_des_file(des_file, n_images=3, full_screen=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1b24a1b-0687-40d9-9536-54636b5cbd74",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Adding complexity: Monsters, Objects & Traps\n",
    "\n",
    "While making nice mazes or rooms is all well and good, we want our agents to tackle more interesting challenges. This is where we start to draw on the richness of the game of NetHack; specifically, we'll see how to add monsters, objects and traps to the levels we've defined. These commands work the same for both ROOM and MAZE type levels, with one nuance when defining the location of these entities: in MAZE-type levels, the coordinates given are relative to the most recent MAP definintion; for ROOM-type levels, they're relative to the ROOM containing the entity being added.\n",
    "\n",
    "Let's see how to add a monster to our 2-room environment from earlier (we've added a lit region covering the whole map, so that we can see what's happening everywhere):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "4efc441a-2418-424e-bfc0-f9d80b51139f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=3802x336 at 0x7FBF292FF2B0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "LEVEL: \"mylevel\"\n",
    "FLAGS: premapped\n",
    "REGION: (0,0,20,80), lit, \"ordinary\"\n",
    "\n",
    "ROOM: \"ordinary\" , lit, random, random, random {\n",
    "    MONSTER: random, random\n",
    "}\n",
    "ROOM: \"ordinary\" , lit, random, random, random {\n",
    "    MONSTER: ('F', \"lichen\"), random\n",
    "}\n",
    "ROOM: \"ordinary\" , lit, random, random, random {\n",
    "    MONSTER: ('F', \"red mold\"), (0,0)\n",
    "}\n",
    "\n",
    "RANDOM_CORRIDORS\n",
    "\"\"\"\n",
    "render_des_file(des_file, n_images=3, full_screen=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2adc0d68-0239-4650-808b-ccebf5323ddc",
   "metadata": {
    "tags": []
   },
   "source": [
    "We can specify the monster type with a tuple of class and name (e.g. `('F', \"lichen\")`), or leave it random. Similarly with the location, we can leave it random or specify it, as we did in the last room."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46cab4e6-c218-4947-9d9f-4fe72450ec43",
   "metadata": {
    "tags": []
   },
   "source": [
    "Adding traps is very similar to adding monsters, apart from we just need the trap name rather than the tuple of name and class:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "7203f255-3bd8-4284-a69f-b8f28455d090",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=3802x336 at 0x7FBF292FF640>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "LEVEL: \"mylevel\"\n",
    "FLAGS: premapped\n",
    "REGION: (0,0,20,80), lit, \"ordinary\"\n",
    "\n",
    "ROOM: \"ordinary\" , lit, random, random, random {\n",
    "    TRAP: random, random\n",
    "}\n",
    "ROOM: \"ordinary\" , lit, random, random, random {\n",
    "    TRAP:\"fire\", random\n",
    "}\n",
    "ROOM: \"ordinary\" , lit, random, random, random {\n",
    "    TRAP:\"hole\",(0,0)\n",
    "}\n",
    "\n",
    "RANDOM_CORRIDORS\n",
    "\"\"\"\n",
    "render_des_file(des_file, n_images=3, full_screen=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "862a5b5b-9f23-4c2c-8e13-e9c41705a4ec",
   "metadata": {
    "tags": []
   },
   "source": [
    "As well as monsters and traps, there are many objects in the game of NetHack that we can add to our level. We can specify the type, the location, and for certain objects extra arguments can be passed specific to that object (e.g. the status or the monster egg)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "b20e5d14-d87e-40b3-b273-a5cef9e132bd",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=826x271 at 0x7FBF292FF490>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "LEVEL: \"mylevel\"\n",
    "FLAGS: premapped\n",
    "REGION: (0,0,20,80), lit, \"ordinary\"\n",
    "\n",
    "ROOM: \"ordinary\", lit, random, (center,center), (15,15) {\n",
    "    OBJECT:('%', \"food ration\"), random\n",
    "    OBJECT:'*', (10,10)\n",
    "    OBJECT :('\"', \"amulet of life saving\"), random\n",
    "    OBJECT:('%', \"corpse\"), random\n",
    "    OBJECT:('`', \"statue\"), (0,0), montype:\"forest centaur\", 1\n",
    "    OBJECT:('(', \"crystal ball\"), (17,08), blessed, 5,name:\"The Orb of Fate\"\n",
    "    OBJECT:('%',\"egg\"), (05,04), montype:\"yellow dragon\"\n",
    "}\n",
    "\n",
    "RANDOM_CORRIDORS\n",
    "\"\"\"\n",
    "render_des_file(des_file, n_images=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2d88590-a0df-4f77-a8e0-682d4ad2cfc6",
   "metadata": {
    "tags": []
   },
   "source": [
    "As well as objects placed with `OBJECT`, there are several terrain features it's worth knowing about: `SINK`, `FOUNTAIN`, `ALTAR`, and `STAIR`. Stairs down are normally the objective for the level, as they lead deeper into the dungeon (unless you specify your own)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "07add70f-58be-49c4-8c3b-502da08d177b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAADtoAAAFQCAIAAAAEVdyAAAAs3klEQVR4nO3dsW4bS5o24I8HJ5ib2MCACZDxnEDA5JbEZPc+SEnj+L+BzTwymxdyEkp0voCCPTEboAAHcxOb8Q/aardJiaJKJLubfB4YArv4mSq7K+hiv13VCQAAAGihh4eH6uHZ2VldPQEAAIBkprcAAAAcgd/q7gAAAAAAAAAAAAAA0FbiyAAAAAAAAAAAAABAInFkAAAAAAAAAAAAACCRODIAAAAAAAAAAAAAkEgcGQAAAAAAAAAAAABIJI4MAAAAAAAAAAAAACQSRwYAAAAAAAAAAAAAEokjAwAAAAAAAAAAAACJxJEBAAAAAAAAAAAAgETiyAAAAAAAAAAAAABAInFkAAAAAAAAAAAAACCRODIAAAAAAAAAAAAAkEgcGQAAAAAAAAAAAABIJI4MAAAAAAAAAAAAACQSRwYAAAAAAAAAAAAAEokjAwAAAAAAAAAAAACJxJEBAAAAAAAAAAAAgETiyAAAAAAAAAAAAABAInFkAAAAAAAAAAAAACCRODIAAAAAAAAAAAAAkEgcGQAAAAAAAAAAAABIJI4MAAAAAAAAAAAAACQSRwYAAAAAAAAAAAAAEokjAwAAAAAAAAAAAACJxJEBAAAAAAAAAAAAgETiyAAAAAAAAAAAAABAInFkAAAAAAAAAAAAACCRODIAAAAAAAAAAAAAkEgcGQAAAAAAAAAAAABIJI4MAAAAAAAAAAAAACQSRwYAAAAAAAAAAAAAEokjAwAAAAAAAAAAAACJxJEBAAAAAAAAAAAAgETiyAAAAAAAAAAAAABAInFkAAAAAAAAAAAAACCRODIAAAAAAAAAAAAAkEgcGQAAAAAAAAAAAABIJI4MAAAAAAAAAAAAACQSRwYAAAAAAAAAAAAAEokjAwAAAAAAAAAAAACJxJEBAAAAAAAAAAAAgETiyAAAAAAAAAAAAABAInFkAAAAAAAAAAAAACCRODIAAAAAAAAAAAAAkEgcGQAAAAAAAAAAAABIJI4MAAAAAAAAAAAAACQSRwYAAAAAAAAAAAAAEv1edweAI7RcLsvXeZ6vvNvv99fri7KVt7QfrL18vc35AgAAAAAAAAD2TfpC+0p7+Vq6A2ggcWRgZ6rXPZ1OJyIuRqOI+NgdlO3DTx+Kxoj4Mhyuf8jFaKT9MO1343F5uM35us+y9c8BAAAAAAAAAHZI+kJ7tV26A2gLcWRgZ8pHr3q9Xqxd/WTdy4gYxs/Hsybfvg8/fYiIy6ur6udoP0z7W88XAAAAAAAAALBv0hfaq+3SHUBbdOruAHA85vP5NmWfJ5N994RtPPtc3bryfHl+DgBomoeHh+rh2dlZXT0BAACAZKa3AMAK6QuqpDuAtrA6MrB7k2/ftykrHtV6XEyrhyXth2mPrc8XAAAAAAAAAHAw0hfaq6Q7gIYTRwZqdjceF/tKrFw2aT9MOwAAAAAAAADQdk1LI2jfbTtA84kjAzv26vXQx+6geJZr+OlDtT27GVyMRut7TGjfa/v25wsAAAAAAAAAOAzpC+3SHUC7iCMDu7T9RiHlNdDl1dXKJxQXytoP0J5wvgAAAAAAAACAvZK+0F5tl+4AWqFTdweA43ExGtXdBfboPsvq7gIAwC8eHh6qh2dnZ3X1BAAAAJKZ3gIAK6QveA/pDqAuVkcGduY+y0a304jY8KzVx+6gePG4mBavHxfTL8Nh9UGulZbNh+qT67ObwZvO10s1AAAAAAAAAMCuSF+orx5KdwBtIY4M7FKxc0R8Gvb7/WcL5vNh8aJ/k41uf1wMrW8qsdKy+VB9cv2bztezBQAAAAAAAADAbklfqA/pDqBtOnV3ADgq8/m8eNHv9y9Go/Lpq0Lx5Fa14ND9o+I+y950vg7dPwCA19jNFgAAgCNgegsArJO+oCTdAbSF1ZGBOm3eeGKl5dWNKtS/qT7CI3EAAAAAAAAA0HqNSiOol+4ATtNvdXcAOCqfJ5N+v18+a/W4mD5b8HkyKQ5f3XhipUX9buvfer4AAAAAAAAAgH2TvlAv3QG0TqfuDgBHpdwB5D7LitfVHSKq10NlAXWpnoJtzteBuwcA8Cq72QIAAHAETG8BgHXSF5SkO4C2+L3uDgBH5dWtIoqC4krINVDt3nS+AAAAAAAAAIADkL6gSroDaAVxZGCXer3euNfL87y4/Kk+jPVrwYf7LDv3fN7ezLLx+ejqpcOnxuxN52u/PQYAAOA1y+WyfJ3n+cq75V6N1fqibOUt7dob0l6+3mY8AwAAwEmRvqAk3QG0hTgysEvrd48eF9PiMqh4Bmu9gN2aZePyRRFBLlqeTSQ7XwAAAM1XTW12Op142qyzetdh+OlDuWPjl+Fw/UMuRiPt2pvQfjcel4fbjGe30AAAADhN7uZTZTwArSCODOxXeTPpY3dgV4h1g0UWETez2OHTimXsuIwmn4+uZtn42UTyCucLAACgacp7Cb1eL9aym1n3MiKG8fN+w+Tb9+GnDxFxefXLHFC79ia0v3U8AwAAAIVTu5u/jzTFMTm18QC0QqfuDgBHZT6fFy/6/f7FaLSyPcTjYloujdPv910yFlfPhR1eQxex4zKLHE9x5JUs8izL3nS+dtI3AIAdenh4qB6enZ3V1ROAvSrnbpt9nkz23RN4v2dXTV5XjmerIwNwCkxvAYB1yemLbnewqIRTVw7bYk9pipaS7gDawurIwB6Ve0OwbrDIbgax7N52FjfL7m3EzU5mACux4/k87/d71bdmWfbSlbrzBQAA0GSTb9+3Kavu0hiVhVIK2rU3oT22Hs8AAABAbHc3/348vvp6FxHdXyu73cH4+vLi6pW9lJtjT2mKYyLdATSTODKwS58nk82L1hQFF6f94Fpp2b0tf+5EuSJy8WK5jLyyu+nTkslZmUh2vgAAAI7V3Xic53mshT61a29COwAAALDZW+/m34/HeZ4vFtNiOeQikVwe5vmH+/G4RYnknacp2k66A2gFcWRgx4qLmw2XQa5+Sl9vb65nERFfz+NmFufdHXxmuTTy+egqYhxPKeSnLHJnpd75AgAAaIVX05wfu4NiJdrhpw/V9uxmcDEalds1atfehPbtxzMAAACcrIS7+bPBOKa/ZI4Xi+lsMI7Io1X2kaZoO+kOoPnEkYFd+jIcPt1P+uUCqNwnoijY4f2k8pG+dtXfD7oRt53BTZxHRNzMYjm9jYjO4KYoOH/hMnHz5xdZ5G530L29ixiUf6U4nD1lkcsPP/z5AgAAIMGWK8tWE5yXv652M/n2vYgpa9dee3vCeAYAAIBTk3w3fzYYR0R3cVe+/vlWlkVqGuFg9clpirdqyL93y3rpDqAVVpfJBHiP5XIZEXme9/v9i9GouOgpPS6md+NxWbCTa8R2XSAW7gc/H9wrrpiLq+dqS/IEoNsdZDeXxevlsviv7hWHo9u77GZQfvgsy950vjb8iwAAavHw8FA9PDs7q6snAHtlXRNO2eZ9SAHgOJjeAgDr3pq+uB+P8zzvf+89+2nzD3mv1+t0Vpcwq2p7muKtmvDv3bJeugNoC6sjA7uU569s8PFsQbc7GN8Mrm6n6z9fvTLb/tKtafWdwc1yelteOheH7/z8fw2HRfh4ufzZOJ/nEdHv97Kby9HttEgkF9LOFwAAAId0n2Wj22lEbFjdpLwDUS6I8riYVhZNifWWzYfq1e+pPrsZvGk8v1QDAAAAxy3tbv78Q/ot/jamKU4nbSLdAbSCODJQs+IBr+p1YUQUr4t333qJ1nwX08WPR/qmN3/9OyLif/7vx1vl9iJper3efJ73+73Oz7Xvfz77OJ/nvd5ldhOzLNvV84IAAAAcwPDTh4iIT8OXVjeZz4fFi/5NNrr9EeWsZkOfbdl8qF79nurfNJ6fLQAAAABWXFxd3Y/HGwo6lRhBY70pTXGCaROAhhNHBmq2WExng3FExO00KleKP97KstjdXhvNcTFdnI9GEb/cVCuvnpP/vVdf78bXl8VyyOt6vd7V17u0TwYAAKAhnt2N8dnD9ZVlX6pUr/7w9YVXxzMAAACwpYurq+LFv4bDsvGlh4Eba/s0xWmmTQCaTBwZ2KNii9jy54bK0eJnTLa8OiwOj/nqcHD7x+DmfDS6H3RvZjcRcT4aFdfEaRaL6dXXGF9fPvvu1de77Gbw7FuF7c8XAAAATfZlOKwuTPu4mG5o2fyuevW7rV+5mwgAAABsY1d381sTwNg6TXGaaRPpDqCZxJGBXfo8mdyvXf8Vi9wU10BFwUXlmq/bHXQXd8/ukdHtDrq3R7t9xo8dRp4sp7fF83zvvCAuEsnPKrPI5a9IOF8AAAAc3sr0rbjTsF5QTt+qSdBtWtSrP2T9W8czAAAAnKDku/nVpZEjYj6f9/v9dgVzt0xTnFTaRLoDaIVO3R0Ajkp5ZVNe5VTvJ1UfybrPsvJK8dX1gNt1ZdwEG/5Lq//tbzpfe+koAMA7PDw8VA/Pzs7q6gnAvr1p+uauA0127+sIAFhjegsArEtLX5yaE0mbSHcAbWF1ZGCXXt15syhY2SriOK7/GmXL/9K08wUAAMCBvWn65pYDDefrCAAAAHiV6fM2TidtYjwArSCODOxSr9cb93p5nheXPytbbVYKPhzg5uirj8GVzkej2Uk+L9io8wUAAMBL3jR9O8HpbWPNsvH56Oqlw9M0yzJfRwAAAMCrTJ+pMh6AVhBHBnYpz/OVlsfFtLgMKp7BWi/Yt2XE1/MX372eReeAnWmaBp4vAAAA1pm+tc4sG5cvighy0SKRHMYzAAAAbMH0mSrjAWiF3+ruAHDkykey1p/NOpBRXM/iehYRcX2/LP78429PjVaM+lX95wsAAIAtmL7t1mCRDRbZ9vssbeN8dFX8mWXjIotczSVTZTwDAADAq0yfqTIegAYSRwaOXCeLTkQn4mb2s/GPP380drI4yk1su79ebnZdfQIAAMALBosfKeTb89hVIrlIIcdz4WOrIwMAAAAAcHzEkYE9KraEqN0y4vY8bs8jnvanKA6XNfdrL+7H4yJ83O0Oyj/F4f34leWXGnK+AAAA2Mz0bYcGi+xmENc3t8XP4tuD95tl42rseD7Pq29F7Cz3fASMZwAAAHiV6TNVxgPQTOLIwC59nkz6/X6/399c8HkyOWSvYhTXs7ieRZ7nvV4vIv7xt7ieRRzdssj343Ge54vFNCIWT1ef5WGe5yuJ5IaeLwAAAH5l+rZXy+5t+XMnyhWRixfLX5+HriycfKKJZOMZAAAAXmX6TJXxALTC73V3ADg2F6NRRNy/fEetKDikzlNf5hERkef5H39GREQW5wfvzAHMBuOY/rLx62IxnQ3GEfl6cQPPFwAAAOtM3/bn6+3N9Swi4ut53MzivLuDzyyXRj4fXUWM4ymF/JRF7uzgd7SZ8QwAAACvMn2myngAms/qyMAufRkOP3YHH7uDlfZyn4iiYMMndLuD7saCtPrR7XQ+n0f8WCB5Pp8vV9YmOmx/9l0/G4xng/H664iYZVm5/NL7zxcAAAAH0Njpdtvr7wfd65vbm1l8Pf+RRV5Ob+8H3WLuvGH14s2fX2SRu93B6PauLKscdp7KXrxF9NZ/71vV+//v6wgAAAB4la+D1Ff5OgVoBasjA7vU6/XGvV6e58X9uvJap3zxVPBhwwNb+zBeDK5iOvz0ISLyPJ98+z6evLiHxdHIupcvvVXcUm3s+QIAAKDK9G0f7gc/lkFeTm87g5vixUpLsm53kN38mJWPryMiysPR7TS7OembQ8YzAAAAvMr0mSrjAWgFcWRgl/I8f2fB4unJrS1tWd/JImIwXi6vvt6Nry+zfj/buArRvvuz1/r5h1f+k0vvP18AAAAcQGOn20dQ3xncLKe3ZRC5OHzn5/9rOOz3exFR3ZlpPs8jot/vZTeXryaSt+l/tzsY3wyubqfrP1/96/X+//s6AgAAAF7l6yD1Vb5OAVpBHBk4Ff/7n/HXf3WG/z3/etG5PY+bWd0d2oOLq6v78XhDQafTOVhnAAAAoMkuposfCyRPb/76d0TE//zfj7feuTRyr9ebz/N+v1eZhffKV/N53utdZjcxy7JtnpR+VrF3ZzWFHBHF6+Ldt97xAgAAAACA9xBHBk7F3/8j/vp3fPtnPyL+8be6e7M3F1dXxYt/DYdlY7/fr6k7AAAA0FwX08X5aBTxyxaWZRY5OStcbM1ULIe8rtfrXX29S/vk0mIxnQ3GERG306jkkn+8lWXxjv4DAAAAAMBb/VZ3B4Bj9riYrvysUSeLP/6Mm1nczOKPPyMiiptzJ+h8NHr2lmSjzhcAAAAvMX3bscHtH3/G//uP0fXNbdHwziDvYjG9+nrXe8HV17vsZrCLfsdo8TPWXGaRi8MWZZGNZwAAAHiV6TNVxgPQTFZHBnbp82Ryv5bx/dgdFD8fF9Oi4KIxt8Tesy9qk1WXRo6I+Xze7/fX/6WtO18AAACnyfRtf+4H3erhcnpbrI68i0Ty82+VWeT3/Ipud9Bd3C2eu9vU7Q66t4Nn32oI4xkAAABeZfpMlfEAtII4MrBjxcXN+mXQSkFzHGUi+Z+TyUrLS//G1p0vAACA02T6ticX00U8zZqrr99vsZhu2Jfp/XHnlz58FtlOfsVeGc8AAADwKtNnqowHoPnEkYFd+jIcTr59j4iI5y+AioKmbRWx4e7gcWvp+QIAADg1pm8ttddAcJPTxpsZzwAAAPAq02eqjAegFTp1dwA4Qsvlsnyd5/nKu/1+f72+KFt5S/vB2svX25wvAICGeHh4qB6enZ3V1ROAfSsmbnme9/v9i9Go2Iex9LiY3o3HZUF7U6qcglmWvWk819NLADgs01sAYF2jvg7afom389HonTtUz7Lx+ejqpcPT5OsUoC2sjgzsTDXV2ul04mkniOpl0PDTh3J7iC/D4fqHXIxG2g/TXlyMFrY5Xxu2/AAAAGCv1p8dfVxMi+lbseTJegE0lvEMAAAAr2rg9HkZ8fX8xXevZ+9dFHOWjcsXRQS5aJFIjkaOB4B14sjAzpQXN71eL9ayrVn3MiKG8fMCaPLt+/DTh4i4vPrlwlH7Ydrfer4AAABojnL69rE7sAkjbWc8AwAAwKvqnz6P4jqLiPh6Htf3P5ar++u/On//88e78e4lzsrYcRlNPh9dzbKxRPK6+scDwJp3PpcC8NN8Pt+m7PNksu+esI1nV01eV54vqyMDAE1jN1vgdJQz7pd2YyyneAfYnRPeY5ZlbxrPh+4fANTB9BYAWNeor4Nma2mBcvfsYivmQtGNWZYl96eIHZdZ5HiKI594FtnXKUBbWB0Z2L3Jt+/blFW3jYjKk1sF7Ydpj63PFwAAAA1RbsUIR8B4BgAAgFc1ZPq8jPh6/uN1nue9Xu/2PCLieraDFTFXYsfzed7v96pvvSfofGQaMh4AVogjAzW7G4/zPI+1UKz2w7QDAADQfJ8nk81b1hQFF+7H0AbGMwAAALyqodPnUVxnEU9Z5Ij4x9/i739GjCLet91yuSJy8WK5jDz/+e7TksnZySaSGzoeAH4ljgzs2Ktp14/dQbFS7/DTh2p7djO4GI3K/SO0H6Z9+/MFAABAjYp7CRvuOrjZQIsYzwAAAPCqBk6fO099mUdERJ7nf/wZERFZvD8lXC6NfD66ihjHUwr5KYv8/vWX262B4wFghTgysEtbrrxbTbheXl1V35p8+17ElLUfoD3hfAEAAHB4X4bDpxncL/cbym0Zi4INc7dudxARi60nd+rV76/+/eMZAAAAjl5jvw4a3U6LEEKxQPJ8Pu/1ep3O61nhzZ9fZJG73UH39i5iUP6V4nD2lEXeEHpu19cjb633dQrQCqf+4AiwQx60Om6bN/4AADi8h4eH6uHZ2VldPQHYt+VyGRF5nvf7/YvRqLjHUHpcTO/G47Lg2bsy7bq/ov6I62dZ9qbxvOVvBIBWM70FANY16uugWSUtsBzFVXda7oY9+fZ9vBh0Kqsjz7IsrT/d7iC7ufzxW5bFP61XHI5u77KbQZxqHNnXKUBbWB0Z2JnicudxMa08lRXrLZsP1Te4XhwZAACgHnmev7Ng+zsf6tXvu/794xkAAACOXmO/DupkETEYL5dXX+/G15dZv59tTAlv+fn/Gg6L8PFy+bNxPs8jot/vZTeXo9tpkUh+Z/9bWu/rFKAVfqu7A8ARqmZbn23ZfKi+4fUAAAAAAAAAwGn63/+Mv/6rM/z04etF5/Z8N5/Z6/WK8HGn8+NPv98r/kTEfJ6Pry/j13WaAWgaqyMDO/P49KjW49ozWystmw/VN7weAAAAAAAAADhNf/+P+Ovf8e2f/Yj4x99285nFWstFInldr9e7+nq3m98EwN6IIwO79GU4rK6k+7iYbmjZ/K76ptVHeMoQAACgER4X04/dQfmz7u7AuxjPAAAA8KpGTZ87a9mBWZadj0bv+czFYnr1NYolkNddfb3Lbgbv+fwj06jxAFASRwZ2qZpk3aZFfbvqAQAAqMXnyeR+bSfKj91B8fNxMS0KLt531wcOw3gGAACAV7Vu+ryrRPKzyizyO39Fe7VuPACnSRwZ2KX1h642t6hvVz0AAAB1Ke4lrN91WCmAVjCeAQAA4FWtmz7vJJE8e/nfe7JZ5ELrxgNwgsSRgZ3ZcNEDAAAAJPsyHD7tXfP81Lso8EAprWA8AwAAwKtaOn3eECbe0olnjl/S0vEAnBpxZAAAAABotF6vN+718jwv7jYU+zA+V/DhAI8Kb39X6Xw0ev+iOByfRo1nAAAAaKZGTZ99vVO7Ro0HgJeIIwMAAABAo+V5vtLyuJgWdx2KJU/WC/ZtGfH1/MV3r2fROWBnaJcGjmcAAABoGtNnqowHoBV+q7sDAAAAAMDblCugrC+FciCjuJ7F9Swi4vp+Wfz5x9+eGq2Yw1vUP54BAACg8UyfqTIegAYSRwYAAAAA3qaTRSeiE3Ez+9n4x58/GjuZTTwjIrq/3g3qujkEAAAAAMCREkcGAAAAgDYpdmCs3TLi9jxuzyOetoMsDpc196sR7sfjInzc7Q7KP8Xh/Xhcd++apSHjGQAAAJrM9Jkq4wFoJnFkAAAAAGi0z5NJv9/v9/ubCz5PJofsVYziehbXs8jzvNfrRcQ//hbXs4iTXxb5fjzO83yxmEbE4unmUHmY5/mJJ5IbOp4BAACgSUyfqTIegFYQRwYAAACAprsYjS5Gm3K+m9/dh04WnYjO02Ge53/8GZ2IThbnB+9MA80G48WvC9UsFtPZ4KSDyKUGjmcAAABoGtNnqowHoPnEkQEAAACg0b4Mhx+7g4/dwUp7uS1jUbDhE7rdQXdjQVr96HY6n88jfiyQPJ/Pl8vlDj+/7fWzwbjMH1dfR8Qsy2ZZduD+NKT+/eMZAAAAjl5jvw5SX0u9r1OAVvi97g4AAAAAAJv0er1xr5fneRFfLW8tlC+eCj7cv5xw3YfxYnAV0+GnDxGR5/nk2/fx5MUtI09W1r186a1Zlp3gStKNHc8AAADQHKbPVBkPQCuIIwMAAABAo+V5/s6CxdNCKVvasr6TRcRgvFxefb0bX19m/X4WsU2+dk/9aVT9/MMrJ+Wdn9/e+vePZwAAADh6jf06SH0t9b5OAVpBHBkAAAAASPS//xl//Vdn+N/zrxed2/O4mdXdoQa4uLq6H483FHQ6nYN1BgAAAAAADkAcGQAAAABI9Pf/iL/+Hd/+2Y+If/yt7t40xsXVVfHiX8Nh2djv92vqDgAAAAAA7NdvdXcAAAAAAHiDx8V05WeNOln88WfczOJmFn/8GRExy7J6u9QW56PR+WhUdy/q16jxDAAAAM1k+kyV8QA0kzgyAAAAADTa58mk3++vrK37sTsofxYFnyeTevq3RiK5UF0aOSLm83k8pZBPOYjcuvEMAAAAh2f6TJXxALTC73V3AAAAAAB4xcVoFBH3L8d8LxoWb51l2Sknbgv/XLsD5P+k0LrxDAAAAIdn+kyV8QA0n9WRAQAAAKDRvgyHH7uDYqWTDQWH7NI2rJHMs1o6ngEAAOCQTJ+pMh6AVujU3QEAAABI8fDwUD08OzurqycA+7ZcLiMiz/N+v38xGq3cWnhcTO/G47LA+rs02SzL3jSe6+klAByW6S0A8JJiEl3I83zl3fWJ83K5LMpW3tJ+NO3l623GA8CB/V53BwAAAACATdbvLjwupkWI83ExfbYAGst4BgAAgM2qqdNOpxMRF6NRRFSf6R1++nDx9FD6l+Fw/UMuRiPtx9FePLld2GY83NuyDKiJODIAAAAAtEx5s+Fjd1AkOKG9jGcAAACoKp/U7fV6sZY9zbqXETGMn0/zTr59H376EBGXV1fVz9F+HO1vHQ8AdenU3QEAAABIYTdb4HTM5/PiRb/fvxiNqgufRMTjYloundLv98+f1kGBBppl2ZvG86H7BwB1ML0FAFaUc+fNPk8m++4JTfDsqsnryvFgdWSgLlZHBgAAAIA2eVxMVxKc0F7GMwAAALxk8u37NmXFzLrccWj90V/tR9AeW48HgLqIIwMAAABAo32eTDYvalIUXFgXmTYwngEAAGAf7sbjPM9jLbSq/TjaAZpPHBkAAAAAmq6IZm4Iccpu0iLGMwAAALzq1TTqx+6gWEl3+OlDtT27GVyMRl+Gw5V67a1u3348ANRFHBkAAAAAGu3LcPh0v+GX+ObjYlps2lgUbLjf0O0OImKx9Q0J9er3V//+8QwAAABHb8uVcasJ1Murq5VPKGLK2o+gPWE8ABxep+4OAAAAQIqHh4fq4dnZWV09Adi35XIZEXme9/v9i9GoiGyWHhfTu/G4LDh/blnZdsVV1R9x/SzL3jSet/yNANBqprcAwAq7BvEeGzakAtgrqyMDAAAAQKPlef7Ogu2DpOrV77v+/eMZAAAAjlvx7O7jYlrZYijWWzYfqj/henFkoB6/1d0BAAAAAAAAAAAAflHNnj7bsvlQ/YnXAxxYp+4OAAAAQAq72QKnYz6fFy/6/f7FaFQskFMqFj4pC87t5kmDzbLsTeP50P0DgDqY3gIAKy58vcM73GdWRwbq8XvdHQAAAAAA3uBxMf3YHZQ/6+4OvIvxDAAAAOu+DIfVlW6Lx3dfatn8rvpTq48QRwbq8VvdHQAAAAAANvk8mfT7/ZWVYos1ZYufRcHnyaSe/sFbGM8AAADwqmrSdJsW9erXWwAOrFN3BwAAACCF3WyB01Fu0HmfZcXrIrVZqC4oe59l53bzpMFmT2M4thvPB+4eANTC9BYAWHHh6x3ewTcqQF1+r7sDAAAAAMAmr+60WBRUc5zQWMYzAAAAbCZOCkAbWR0ZAACAVrJ8FHBqlstl+TrP85V3+/3+en1RtvKWdu0NaS9fbzOeAeCImd4CAABwBKyODAAAAADNVU1tdjqdeNqv82N3ULYPP30oN/H8Mhyuf8jFaKRdexPa78bj8nCb8Ww5KAAAAACAVhBHBgAAAIDmKheO7fV6sZbdzLqXETGMn4vLTr59H376EBGXV1fVz9GuvQntbx3PAAAAAAC0QqfuDgAAAEAKu9kCJ2I+n29T9nky2XdP4P2eXTV5XTmerY4MwCkwvQUAAOAIWB0ZAAAAAFpg8u37NmXFQrOPi2n1sKRdexPaY+vxDAAAAABAK4gjAwAAAMCxuRuP8zyPtdCndu1NaAcAAAAA4MiIIwMAAABA072a5vzYHRQr0Q4/fai2ZzeDi9Hoy3C4Uq9de43t249nAAAAAABaQRwZAAAAABpty5VlqwnOy6urlU8oYsratdfenjCeAQAAAABouE7dHQAAAIAUDw8P1cOzs7O6egKwVxejUd1dgNrcZ1ndXQCAvTO9BQAA4AhYHRkAAAAAmutjdxARj4vpl+GwuqzsSsvmQ/XqW1svjgwAAAAA0AK/1d0BAAAAAOB11ezmsy2bD9Wrb3U9AAAAAABN1qm7AwAAAJDCbrbAibgYjeruAtTmPrM6MgDHz/QWAACAI/B73R0AAAAAADb5MhxWV4p9XEw3tGx+V736dtVHiCMDAAAAALTAb3V3AAAAAADYpJrU3KZFvfpjqgcAAAAAoPk6dXcAAAAAUtjNFjgRF6NR3V2A2txnVkcG4PiZ3gIAAHAEfq+7AwAAAADAi8QxAQAAAACAhvut7g4AAAAAAAAAAAAAAG0ljgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQSBwZAAAAAAAAAAAAAEgkjgwAAAAAAAAAAAAAJBJHBgAAAAAAAAAAAAASiSMDAAAAAAAAAAAAAInEkQEAAAAAAAAAAACAROLIAAAAAAAAAAAAAEAicWQAAAAAAAAAAAAAIJE4MgAAAAAAAAAAAACQ6P8DpVYQ38tTPxYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=3802x336 at 0x7FBF29300190>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "LEVEL: \"mylevel\"\n",
    "FLAGS: premapped\n",
    "REGION: (0,0,20,80), lit, \"ordinary\"\n",
    "\n",
    "ROOM: \"ordinary\" , lit, random, random, random {\n",
    "    SINK: random\n",
    "    FOUNTAIN: random\n",
    "    ALTAR: random, random, random\n",
    "    STAIR: random, down\n",
    "}\n",
    "\n",
    "RANDOM_CORRIDORS\n",
    "\"\"\"\n",
    "render_des_file(des_file, n_images=3, full_screen=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2b0d2749-d2f6-421b-bf1b-680cfa61a4b8",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Landscaping Terrain: selections and coordinates\n",
    "\n",
    "So far we've seen how to create rooms and mazes, and add objects, traps and monsters to those rooms. Now we come to another way to add complexity to your environments: terrain. This takes the form of static objects or structures in the environment (such as trees, clouds, water and lava), all of which have different properties. When placing these pieces of terrain, we control their location exactly or leave it entirely to chance (in a similar way as for monsters, objects and traps). There's also a third option, which enables us to specify complex selections (sets of coordinates) and randomly place terrain within these selections."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed1e90fc-aea2-4fc2-955b-c2ed8c96165e",
   "metadata": {
    "tags": []
   },
   "source": [
    "First, lets look at the basic types of terrain:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "38b07d32-cc21-4e11-9f8c-debd18cc7a6e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBF292FF940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBF292FF370>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBF292FFBB0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBF292FFD30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBF292FF640>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkoAAAC/CAIAAACOgWRNAAARMElEQVR4nO3dMW7bWBeG4aNAfVbwFwYiwO6nyApkm2vIDqhYmHqa7CBQTO8gG5hGsdMPkGZqCdAAKWYT0/EvKDM0SZE84rn05eX7YBDIN0cyPfkgmpSobybP0jTNb+/3e3np6uqqtJKmaTZW+ivWg1nPbzfk4cePH8X19+/fq+7uw4/J+jDr+W3ixPowcZoX52azmYjcrFYi8m4R5evx8iJbFJHPcSwVN6sV62Gsf7u/z7/skocS4sR6cZ04sf6KcZrnu77Ly8vqdLK4FZFYfu0eH77/jJcXInL78WPxe7Mexro2DyXEifXiOnFi3XBdm4fZbreTDn5/eOgyhrGr/b2pKs/Dpw8fiutv375V3R1hI04wpI3TPF96+P6zyz2zXeU/h23xyxzrYaxL5zycQpxYLyJOrA8fp3n7SJ1v9/fZcWLp27AexvrAfPvxWbddH5hvPz7rtuvdHXdvrfd/t4iyfWl2SjSXrKPaVwJZH/V69zzUIk6sEyfWXz1O8y7TpfuIN680su5i/Yw8lB5Ee3evfnzWiRPr3q6r8jA79ZZcoIvSewE+ff36WluCABAnGJo/Jslqs5XC63hV+St7/xy2+Yu3n+O4uCMtrTR/yby388k6UuWh9FfEifnil8SJecN5bZzmkp+wXsbVi/8zu93xpOfVOlltjneuHiSWVpq/ZN7beVUeSr9ua+9OnIKfJ07MG86r8jATkfzSt6urq5vVqvruzPw1vWyg9kERhsckUeWh+ilKxAk54gRD2jidc2FA84FkaaX1wJN5r+ZFEhmWVz8+88SJeW/ntXF6IyK/PzxcXV3lx3rV05rZQH4peOuBZGmF+XHNa/NQ+7fEifkMcWLecF6Vh1+fSikij0lS/YTK4v3zAYSq+E/cJQ/Vs0nECTniBEPaOM3lxeF8/aFfNpDd8zEZ+mwDBqbKQ8+7E6fgEScYUuVhLiKXl5f3l5f7/T4br37A1/PAxWOSXPP7UdCekkSVh+ojECfkiBMMaeM0l7o6uH8KV5DUDiBgPfNAnFBEnGBIlYc3tQ+R7xKr+0ZMUM88EKdxiQ5JdEienJ3oI06j5joeWg15qN+9AZim6HB82tpciz9PYfDEuOJRs3tr+LwTTFDPPBCnEYkOyTqSu/Um+3Nzbf8tiNN4DRAPreY81Fz3VtV8YQoC0zMPxGnU0sUm/9MEcQqJeTy0VHk4fmpJdgFBw9tquaBkUnrmgTiN15fN+u5JROTLtayf5Hph8JjEKRgu4qHVPQ9vRORzHL9bRNXX5fLjvmyg4fstFtFC8zIv8z7P98wDcRrp/GO0uFtv1k/y5fr45JVuN4/R4ilJsv/Oe3ziFMa8o3ho51V5aLruLb/RfGEKAtMzD8RpjB6j4+/h6XYzi9bZjdLKeYhTANzFQ0uVh/rr3kpaBw7K13uZ93m+Zx6I03jnZ9E63W7yZ67sy56PT5yCmXcRD+28Kg/nNAYACMzN9nD8DX27/vtfEZG//jv+1ZC/m8NPI40H170BEBG52R6qH2qVP3nxeVcTN8Z4nLzurfgnpqxnHojTyESb3/6UP/63ulsfzzvZPnMRp3FzHA+t5jycvO4te6Uu+5MrSyalZx6I03jl7yDI5K+s9HkKI07BcBEPLVUeuO4NNbhQaZputgd5frYq3u77sMQpCI7iod4Mk+vecq1XliAkPfNAnFBEnGBIlYe5iGQHemma3t+l2eqLN18uYxFJ1sc7aD9GU7t7d/34aDVkQZf91sMzxMkfATy76vre0jTN/2I2m8nzkV3xbvHyolgBLt1+7D6fJ+368dGAgi4YIk6+GfWzq67vbf8s+7q0b0sWt8nitvRwHXfpZ+/5XT8+tCjogiHi9IrCe3ZtyMOvy7r3+/1utyv9dSz8ZgQAGJ9fu7eH7z9fcTvgrfzY/1XujsAQJxhqzgOfWoIyCrpgiDjBkCoPx91b66EbvzFNys1q1eVSJEd3R2CIEwx1z8Mb6Xxa0nAPp20Acv34zBdR0MU8cZrOvNaI4jTnoB4lFHTBEHGCIV3f22OSrDYtn0+a39PqM0y1DUCuH5/5Igq6mDecJ06ez2uNKE5zEYmXFyIiy/jU63W7XZzduFrz+xEAYATKdaY3q1XptCatEwCA0eHCALSgoAuGiBMMqfveqkNcWTIpFHTBEHGCIVUejkdvqitLOn7a5tkfyun68dGKC5VgiDj5I4Bn1+55mIvI5zh+vvSt/kfKBopHda5/eJ//5wbvjDwY3h2BIU6+GfWzqyoPc1E26Lj+JOkRfVJ1qCjogiHi5E4A/W1aur43oVEJL1HQBUPEybVR97dp6freah+CRiUUUdAFQ8TJUHj9bVoNeeDCAABAgGp2b7xIi6KeeSBOKCJOMNSch5rr3qq4smRSKOiCIeIEQ+f0vXFlCYq4UAmGiBMM6freaFRivoiCLuaJ03jntXzbfsu+N6FRCS9R0AVDxAmGdH1vQqMS8y9R0MW84TxxGnhey7ftN4wTFwYAAALE7g0AEKCT173RqIQMBV0wRJxgSN33lqFRabIo6IIh4gRDzvveEDwuVIIh4uROAP1tWs773hAwCrpgiDi5FtKuq5Xbvjd32w1PUNCFU854Js3OI6Vpen+XZisv3tu9jEUkWZ+8jHfUcXLdxxZwD8Ap9L2hFwq60Kx7wViapvnKbDaT5xNHxWeleHnRcK4pgDhNqo/NNfreYIyCLuRUBWP7Z9liad+WLG6Txa12A8YVJ/rYXGvIw3zwjQEwOfv9frfblRZj8f3AC6NWs3vLj/UA6Z0H4gQReX47QF/ECUXNeaDvDWUUdMEfxAlF9L2hLy5UgqHWQ7fmAzLihCL63pg/f56CLuYNC8Y6npY8FYnw4qTl2/aP6NmJvjeUUdAFK/3PGRInFNH3xnyveQq6mFfNN3hMktWm5eOP8yem2pnw4qTl2/aP6NmJCwMAOBQvL0RElvGptwPsdnF242qdfPrwYbANQ/DYvQEYyM1qVXrVZMqfFQnX6HtDCwq64A/ihCL63qBDQRcMlfJQfQ4iTuiOvjf0xXVvOOWMgrEpx2mCfWyu0feG81HQhWaq52LixK7LEH1v6IW+N3+4LgzT0j7+U5JMOU70AJij7w290Pfmm1EXhhEnGKLvDcboe3tF4RWGEScYashD/e4NAIBRO3ndG5DpmQfihCLiBEPNeaDvDWX0vcEQcYIh+t7Q15QvVII54gRD9L0xf/48fW+ez2sRJ6/++ZjvM0/fG3qh7w2GiBMM0ffGfK95+t48n9ciTs0DzI9oXpUHLgwAAASI3RsAIED0vaEFfW8wRJxgiL436ND3BkPECYboe0NfXKjkjwAKw4gTDNH3hvNR0OUbn3ddrYgTDNH3Zsm3wq0BTLmgyzXiRJwMESf63gyMunBLi4Iu14gTcTJEnOh7O194hVtaFHQZIk7EyRBxou8NADAt9L2hBQVdMEScYIi+N+hQ0AVDxAmG6HtDX1yoBEPECYboe6Nw6/x5CroGntfybfuJk1fzWr5tP31vcIiCLhgiTjBE3xuFW73mKegaeF7Lt+0nTl7Na/m2/fS9AQDQhN0bACBA9L2hBQVdMEScYIi+N+hQ0AVDxAmG6HszFkDhlhYXKrlDnGoH3N09bMSpdiC7Qd9bJyGFoxUFXa4Rp+oAcTobcaoO0PeGehR0wRBxgiH63uzRqERBlyHiRJwMESf63s5HoxIFXYaIE3EyRJzoewMATAt9b2hBQRcMEScYou8NOhR0wRBxgiH63tAXFyrBEHGCIfreaFQ6f56CroHntXzbfuLk1byWb9tP3xscoqALhogTDNH3RqNSr3kKugae1/Jt+4mTV/Navm0/fW8AADRh9wYACBB9b2hBQRcMEScYou8NOhR0wRBxgiH63ozRqFQ74O7uYSNOtQPu7h424lQ7kN2g762TkMLRioIu14hTdYA4nY04VQfoe/OCNpoDfPI3BV0wRJxgiL43e64blbxqbKKgyzWv/rldI06uESf63ppEhyQ6JKcS4LpRyf/GJgq6DPn/z+0acTJEnOh7axIdjnu1zXU4v+MAwMRNve8tOiTrSO7Wm+zPzfVrb5B/KOiCIeIEQ/S9tUgXm/xPCAVdMEWcYEiVh3m2lF0o0PDWo4CvLPmyWd89iYh8uZb1k1wvXnuDPNAzD1OOE6qIEwx1z8Ok+94eo8XderN+ki/Xx31but08RounJMn+6/4dTbZnsMenoMureS3ftp84eTWv5dv20/dm4DE6Hqal280sWmc3SivTREEXDBEnGKLvTTE/i9bpdpPv2LIvVd/LdnuGeXwKurya1/Jt+4mTV/Navm2/YZzmqm8ckpvt4XgAt13//a+IyF//Hf9qyoduABCGSV/3drM9VK92zPdtAV8ICQDBo+9NJNr89qf88b/V3fp4WpIdWxEFXTBEnGCIvrcm+RtMMvkLb1Pew1HQBUPECYboe1O42R7yU5TF20WuG5U8bGyioMsdD/+5XSNO7hCn2oHsBn1vnbgOh1fho6DLNa/+uV0jTq4Rp+oAfW+duD5L6eFZUAq63PHwn1vljGfS7DxSmqb3d2m28uK93ctYRJL1yct4iVODscfpDPS9oRcKutCse8FYmqb5ymw2k+cTR8VnpXh50XCuiTihiL43GKOgCzlVwdj+WbZY2rcli9tkcavdAOKEooY8TPeybgCD2e/3u92utBgLB15wqGb3lh/rAdI7D8QJIvL8doC+iBOKmvNA3xvKKOiCP4gTilR5mPp1b6jFhUow1Hro1nxARpxQ1D0Pk+57Y74WBV3MGxaMdTwteSoSxIn5Ivre0AsFXbDS/5whcUIRfW/M95qnoIt51XyDxyRZbVo+/jh/YqqdIU7MF9H3BsAX8fJCRGQZn3o7wG4XZzeu1smnDx8G2zAEj90bgIHcrFalV02m/FmRcI2+N7SgoAv+IE4oou8NOhR0wVApD9XnIOKE7uh7Q19c94ZTzigYI04wRN8bzkdBF5qpanGIEwzR94Ze6HvDKdqCsackIU4wRN8beqHvDYaIEwzR9wZj9L3BEHGCoYY81O/eAAAYtZPXvQGZnnkgTigiTjDUnAf63lBG3xsMEScYou8NfXGhEgwRJxii74358+fpe2OeODHv5zx9b+iFvjcYIk4wRN8b873m6Xtj3nCeODFvOK/KAxcGAAACxO4NABAg+t7Qgr43GCJOMETfG3Toe4Mh4gRD9L2hLy5UgiHiBEM2173lWq8sQUh65oE4oYg4wZAqD7N8NU3T/Hb1zZfVD0FJ0zQbK/0V68Gs57cb8vDjx4/i+vv371V39+HHZH2Y9fw2cWJ9mDjNi3Oz2Uyej+yKu8d4eZEf7n2OY6m4Wa1YD2P92/19/mWXPJQQJ9aL68SJ9VeM0zzf9V1eXlank8WtiMTya/f48P1nvLwQkduPH4vfm/Uw1rV5KCFOrBfXiRPrhuvaPMx2u510wBuTJqL296aqPA+fPnworr99+1Z1d4SNOMGQNk7zfOnh+88u9yzWfsvLo0LWg1mXznk4hTixXkScWB8+TvP2kTrf7u+z48TSt2E9jPWB+fbjs267PjDffnzWbde7O+7eWu//bhFl+9LslGguWUe1rwSyPur17nmoRZxYJ06sv3qc5l2mS/cRb15pZN3F+hl5KD2I9u5e/fisEyfWvV1X5WF26i25QBel9wJ8+vr1tbYEASBOMDTPX4z9HMfFHWNppflL5ic+nyNOzPefzxEn5vvM/2oMqGartNL8JfMTn28efvXNY35c883Dr755zI9inpOT6IWzSTBEnGBoLiLNB3qlldYDQ+YnNV/l1eYxP675Kq82j/lxzb+RDgd6pRXmmT/1ZOTh5jE/rvkzhn3+cZh/xXlOTqIXzibBEHGCof8DDViQ4GJYKtcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBF292FF5B0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkoAAAC/CAIAAACOgWRNAAAOWUlEQVR4nO3dMW4b1xYG4KuAvVfwCgMRIPUpvAJL4RqyA8kmUqfJDgxa9A6ygdcwUvoHuHm1DShAireJdHzF0GOGpElezuHw8vL7EAjU1RlpGP/QiKSu/ov0xWw2a29//vw5/dP19fXSymw2a8aWPmS9mvX29oY8fPz4cXH91atXWYeXcDet97Pe3hYn6/3EabA4d3FxkVK6vb9PKX1/OWzX716/bBZTSu/u7tKK2/t763Ws//7w0L67Sx6WiJP1xXVxsn7EOA3aS9/V1dXq9OTyx5TSXfp6efzwx193r1+mlH5882bxa1uvYz03D0vEyfriujhZD1zPzcPFp0+f0g5+/vBhlzFO3dqfm1a1efj1p58W11+8eJF1OHUTJwLlxmnQLn34469djmwulX8+TxffbVmvYz3tnIdvESfri8TJev9xGmwfWef3h4fmceLSl7Fex3rPSrv71mPXe1ba3bceu767+eVt6/HfXw6ba2nzlGhrMhqufSXQ+kmv756HtcTJujhZP3qcBrtMLx2Tinml0foh1vfIw9InyT28qLtvXZysF7uelYeLb/1KLuxi6XcBfv3tt2OdCRUQJwINHieT+/E0LbyOt6p9Ze/P52n74u27u7vFC+nSyuZ3zRc7PxkNs/Kw9CFxMr/4rjiZD5zPjdMgtU9Yv75b3fzf+PRp/qTn9WhyP54fvPogcWll87vmi53PysPSj9u5h4tT9fPiZD5wPisPFymlduvb9fX17f396m9ntq/pNQNrPyl1eJxMsvKw+leUxImWOBEoN077bAzY/EByaWXrA0/zRc2nNEn9Kurumxcn88XO58bpu5TSzx8+XF9ft4/1Vp/WbAbareBbH0gurZg/rfncPKz9qDiZb4iT+cD5rDx8/auUKaXHyWT1L1QuHt8OUKvFf+Jd8rD6bJI40RInAuXGaZD+8XB+/UO/ZqA58nHS97MN9CwrDx0PF6fqiROBsvIwSCldXV09XF19/vy5GV/9A19fBl4+TiY3fj6q2tNkkpWH1c8gTrTOPE5Pw4ftQwtupm+2D52x3DgN0ro6uD8XdpCsHaBiHfMgTiwSJwJl5eG7tZ+ivSSuXhvXGj5Phs+TJ88MVCo3D7GHUxlxItCGPKy/vGUZPs+vauOb5AoHQAnWXN42/L2TVcPnyWiY3o7GzdvxTdypUYasPIQfTmXEiUCb87Bm39uqzRtTZpfj9i0V6JiHjodTGXEiUFYe5n+1pNlAsOHXajdsKHk/Hr19Siml9zdp9JRuLvc9cYrRJQ/dD6cy4kSg3fPwXUrp3d3d95fD1dfl2sd9zcDqZ3kcXr4djUdP6f3N/No2m44fh5dPk0nz37e+/OXl8DLnZWHzfc7vnYeQw7eenvnTmhenjko7/xOK06Z9b+2NtRtTHofzh2mz6fhiOGpuLK1wivbLQ9ThVEacCJSVh/X73pZsGLgYjmbTcXtha97deorPma8Pm+9zvkseuh+ejn33zYvTQedzlXb+JxSnfRoDGrfT5/kDuOnov/9LKaX//D3/kIduABxXp31vt9Pn1b+C017bSvsDOQCcj2/ue1t8u8Vw/MO/0y//un87mj8t6cJWk+w8hB5OZcSJQJvz8M19b80rdc3bDTtL2l8wabQvvLnCna4ueeh+OJURJwJl5aHrvrfb6XP6cjFbvM1Js1GJQOJEoJh9b62tO0uoScc8iBOLxIlAWXnI7ns70ElTjj4LuuLPnsKIE4H0vdGJgi4CiROBjtD3Rt0UdBFInAh02L43AChN1743qqegi0DiRKCD971RGQVdBBInAmXlYf7o7fb+fpetJ5yJjnkQJxaJE4F2z0OnvrfWaTUGmVfQZb63eXHqqLTzP6E47d/3Rq0UdBFInAjUa99b47Qag8wr6DLf27w4dVTa+Z9QnGwMAKBCLm8AVCii742qKegikDgR6LB9b9RHQReBxIlAWXmw7401bFQikDgRKGbfW0uj0llR0EUgcSKQvjc6UdBFoHOO0830zbFPoTb63uhEQReBxIlA+t4IpqCLQOJEIH1vAJwXfW9soaCLQOJEIH1v5FHQRSBxIpC+N7qyUYlA4kQgfW/m959X0GVenMyXOa/vjU4UdBFInAik7818p3kFXeYD58XJfOC8vjcAzp3LGwAV0vfGFgq6CCROBNL3Rh4FXQQSJwLpe6MrG5UIJE4E0vfG/hR0EUicCHTafW9Pw4eseY1K4c65oItw4kQgfW90oqCLQOJEIH1vBFPQRSBxIpC+NwDOi743tlDQRSBxIpC+N/Io6CKQOBFI3xtd2ahEIHEiUG19b7lOq8GotHkFXebFyXyZ8/re6ERBF4HEiUAV9r3lOq0Go9LmFXSZD5wXJ/OB8/reADh3Lm8AVEjfG1so6CKQOBFI3xt5FHQRSJwIpO+NrmxUIpA4EUjfG/tT0EUgcSLQafe96W87OgVdBBInAul7oxMFXQQSJwLpeyOYgi4CiROB9L0BcF70vbGFgi4CiROB9L2RR0EXgcSJQPre6MpGJQKJE4Fq63sz3+e8gi7z4mS+zHl9b3SioItA4kSgCvvezPc5r6DLfOC8OJkPnNf3BsC5c3kDoEL63thCQReBxIlA+t7Io6CLQOJEIH1vdGWjEoHEiUD63tifgi4CiROBTrvvrTRPw4es+Qr66s65oOvQ/9zidFZxOjRx0vdGHgVdBBInAul7I5iCLgKJE4H0vQFwXvS9sYWCLgKJE4H0vZFHQReBxIlA+t7oykYlAokTgfS9HXY+V2nnr6CrqH/uQ39+cTqh/13d53OVdv763jggBV0EEicC6Xs7+Hyu0s5fQVfWfK7SPr84bR6obD5Xaeev7w0ANnF5A6BC+t7YQkEXgcSJQPreyKOgi0DiRCB9b3RloxKBxIlA+t7Yn4IuAokTgfS90ck5F3RVUIhVmnOOU2kq6IfT90YnCroIJE4E0vdGMAVdBBInAul7A+C86HtjCwVdBBInAul7I4+CLgKJE4H0vdGVjUoEEicC6XvTqLT/vIKunudzlXb+4lTU/KGdUJz0vbFMQReBxIlA+t40KnWaV9DV83yu0s5fnIqaP7QTipONAQBUyOUNgArpe2MLBV0EEicC6Xsjj4IuAokTgfS90ZWNSgQSJwLpe2N/CroIJE4E0vdGJwq6CCRO5Siwvy2Xvjc6UdBFIHEikL43ginoIpA4EUjfGwDnRd8bWyjoIpA4EUjfG3kUdBFInAik742ubFQikDgRSN9bWY1KpZ2/gq6i5nOVdv7iVNR8rtLOX98bB6Sgi0DiRCB9b8U1KpV2/gq6iprPVdr5i1NR87lKO399bwCwicsbABXS98YWCroIJE4E0vdGHgVdBBInAul7oysblQgkTgTS98b+FHQRSJwIpO8tUgUNSbkUdB2OOIlTIHHS90YeBV0EEicC6XsjWM8FXcPnyfB58nR+P4yficr63sT1uPS9cTKGz/NvE+Ob5FsGhRPXkul7Y4s+C7qGz5PRML0djZu345suX5kS1dT3Jq5Hp++NPMct6Jpdjtu3VKDuvjdx7VlWHgbNUrNRYMOvHtlZclY65qHL4e/Ho7dPKaX0/iaNntLN5Q6nS9mOGKdDE9f+7Z4HfW/mlx2roOtxePl2NB49pfc3828Ws+n4cXj5NJk0/+13d8yfZ5x2PL2958X1KPP63ujkKAVdj8P5z72z6fhiOGpuLK1wiqrsexPXY9H3Zr7T/BELui6Go9l03H6naN7d/NnSsf93mS82To3D3X1x7X8+Kw+DrC8MB3I7fZ7/RDwd/fd/KaX0n7/nH/KzMKUR15Ng3xuluJ0+36z8jkD7zWL1Q3BE4lo+fW9s0XdB13D8w7/TL/+6fzuaP8/jO0VNaut7E9ej0vdGniMWdLWv2DfaVzJ8yzhdFfe9iWv/svJg3xtrHGuj0u30OX357rB4m5NW6743cT2KmH1vLY1KZ0VBF4HEiUBl9b09DR9yD8lyho1Hh6aga3fivZU4EUjfG50o6CKQOBFI3xvBKivo4rjEiUD63gA4L/re2KKmgi6OTpwIpO+NPHUXdNEzcSJQVh7mj95u7+932XrCmeiYB3FikTgRaPc8HKfv7dBOq8GotPlaC7p6mz+00u6vOJnvbV7fG51UWdDFsYgTgU6g7+3QTqvBqLT5igu6+pk/tNLurziZ720+Kw82BgBQIZc3ACqk740taivo4qjEiUD63shTcUEX/RMnAmXlwb431rBRiUDiRKCYfW8tjUpnRUEXgcSJQFl5uGhXZ7NZe3v1ly9X/wjKbDZrxpY+ZL2a9fb2hjx8/Phxcf3Vq1dZh5dwN633s97eFifr/cRpsDh3cXGRvjyyW7w83r1+2T7ce3d3l1bc3t9br2P994ev/Zy75GGJOFlfXBcn60eM06C99F1dXa1OTy5/TCndpa+Xxw9//HX3+mVK6cc3/+gRtl7Hem4eloiT9cV1cbIeuJ6bh4tPnz6lHfjFpDOx9uemVW0efv3pp8X1Fy9eZB1O3cSJQLlxGrRLH/74a5cjF2u/0z8fFVqvZj3tnIdvESfri8TJev9xGmwfWef3h4fmceLSl7Fex3rPSrv71mPXe1ba3bceu767+eVt6/HfXw6ba2nzlGhrMhqufSXQ+kmv756HtcTJujhZP3qcBrtMLx2Tinml0foh1vfIw9InyT28qLtvXZysF7uelYeLb/1KLuxi6XcBfv3tt2OdCRUQJwIN2hdj393dLV4Yl1Y2v2v+zOdb4mS++3xLnMx3mf/aGLCaraWVze+aP/P5zcNHPz3zpzW/efjop2f+JOY9OUknnk0ikDgRaJBS2vxAb2ll6wND82c1v6qo0zN/WvOrijo986c1/13a4YHe0op589/6ZlTg6Zk/rfk9hku+O+aPOO/JSTrxbBKBxIlA/wezSqea8qljcwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBEB8265070>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBEB8265070>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkoAAAC/CAIAAACOgWRNAAAS6UlEQVR4nO3dT27bVhfG4aPC86ygAwMVIM07yAoih2voDqSY+MaddAcBbWYH2UAnipV5gUw6tgAV8KCb6EzfgMo1Q1Ekr3hI3j+/B4UhXx8qkvyi15QsvzP57ng8msv7/V5+tFwuKyvH47EYq3yJ9WDWzeWGPHz79q28/vbtW6vDXbibrI+zbi4TJ9bHidNNeW42m4nI3WYjIr/ME7O+fndbLIrIx/VaztxtNqyHsf7l8dF82iUPFcSJ9fI6cWJ9wjjdmK1vsVicT+fz9yKyltft8dPXl/W7WxF5/+FD+d9mPYx12zxUECfWy+vEiXXFdds8zJ6fn6WD/3361GUMvqv9uemcycMfv/1WXn/z5o3V4QgbcYIi2zjdmKVPX1+6HFlslf8ctuVPDdbDWJfOebiEOLFeRpxYHz9ON+0jdb48PhbniZV/hvUw1kfm2t1nXXd9ZK7dfdZ117s7bW+tx/8yT4q9tHhK1MjTpPaVQNa9Xu+eh1rEiXXixPrkcbrpMl05Rpx5pZH1IdavyEPlSmwPd+rus06cWHd23SoPs0u/kgt0UfldgD8+f57qliAAxAmKbp7yfJNtpfQ63jnzyt4/h6158fbjel3eSCsrzZ8y7+x8niZWeah8iTgxX/6UODGvOG8bpxsxT1i/W5+/+b/w/Hx60nOZ5pvsdPD5SWJlpflT5p2dt8pD5cdt28OJU/DzxIl5xXmrPMxExLz1bblc3m0257+daV7TKwZqrxRheMpzqzyc/xUl4gSDOEGRbZyueWNA84lkZaX1xJN5p+ZFchmXU3efeeLEvLPztnH6SUT+9+nTcrk053rnT2sWA+at4K0nkpUV5v2at81D7VeJE/MF4sS84rxVHl7/KqWIPOX5+V+oLB9vBhCq8re4Sx7On00iTjCIExTZxulGfjidrz/1KwaKI5/ysZ9twMis8tDzcOIUPOIERVZ5uBGRxWLxuFjs9/ti/PwPfH0fuH3K85Xlz0e75LF9qGS1/dA+hMHs8twqD+fXMGic4BfiBEW2cbqRujq4f0rvIKkduNrxfc3i7IvW1UNBzzyMGSe4jzhBkVUefqq9CrMlnu+NVzu+r9/b5MKeB3f0zMMQcYK/iBMUNeShfntT17CBFZstOxwAQFHN9tbw906GUPSuCjucq3rmYeQ4wXHECYqa81DzvrdzzW9MadVl3+IJdHf0zMPQcYJfiBMUWeXhdPZ2t9k0v2Xk6jeUmL2tYQPb7/fFORwncI7omYfh4gQfESco6p6Hn0Tk43r9yzw5f13OnPcVAw1XN58n87aXec2TkGX7/d7sbT2vn3mt+Z55GCdOzPsyT5yYnypOTe97Mxea35jSh9nYumxyGEfPPEwYJziIOEGRVR7q3/dW0TpwaHu9t7iGSydw5kuX/qHW62decb5nHkaIE/MezRMn5hXnrfJwTWPAFcpnaZX1S18CAOBqg29vsy/yfPv6xGPDCZyILF8Wq6FvEAAgAhff91b+2NPyZbH/rrxeuwjX9MyDepzgNeIERc15uPi+t+KVuuJj/3eWLF9en4Gs3dWWLwszg2n1zMMIcYJHiBMUWeXh9ORk8UaBhl896v/OErN7Pd/uzxfhlJ55GCFO8AhxgqLueWh635vR+s4SK8WJGqdrzuqZh5HjBMcRJyiyyoN135vtraG/zTtjFnTp33o4JuY40Xapzum+N7iPgi4oIk4GbZf9Odr3Bn9R0AVFEcaJtsvhTN/3BgBxou1yKtP3vcFxFHRBEXEqo+2yp+n73uAXCrqgKPI40Xapy62+N/iIgi4oijZOtF0OwcW+N+Z9maegi3nipDtP26XWvE99b3AQBV1QRJwuoe3yCi72vTHv0TwFXcwrzhMn2i4V513sewOAONF2ORW2NwAYBG2X0xqj7w1eo6ALimKLE22Xg3Ki7w0eoaALiogTbZeKHO17g0co6IIi4kTbpSKn+97gOAq6oIg4ldF22ZNbfW9o5mAjVMwFXa5xMB62Yo6Tg98O39H35jEXGqEo6HKWC/GwRZygiL43L7ncCBVhQZdrXI6HLeLkteSQJ4d858y5Mn1vrqMRCg2IBxyRHE67WrYSd3a4S+h7c93kjVAUdLls8njYIk7+Sg55msh9mhUfMwfehU7fm+tca4SKvKDLNa7FwxZxCslxnpmPk6DvzSduNkJFW9DlGjfjYYs4BeMhSyVJJUkfsjTdTXMb6Hvzb96dRigKuhycdycetvPEKYz5p2R+n2bpTh5W8rCSdCfHbfaUzHd5Xvw3zu2h7y0ckzRCUdDlCy8Kw4hTAJ6SeXHhuM1mSVpcqKyMg743/+adaoSioMu1eafiYTtPnIKZnyXpcZuZja34dOTbQ9+bf2iEQgPigWndbQ+nE7ht+ve/IiJ//Xf60pinbrbY3iZGIxQaEA844m57WG02Ij88A2z2tpWTv91D39v0HG+Eiq2gyzWOx8MWcfJbkv36p/z+8+Y+PT0tOe3GRt+bB5xqhKKgyzVOxcMWcQqG+QWTgnnhbcwdjr43LznVCEVBl2ucioct4hSGu+1Bvm9m5ctj3wz63vw1eSMUBV0umzwetogTFNH35hMHG6FiLuhyjYPxsBVSnAKo3/MdfW/opWceiBPKAo6Tj/V7vrPKA31vaEdBFxQFEKeQ6vd8R98bAOigfs8X9L2hBQVdUBR2nLyr3/MdfW+wQ0EXFAUWJ9/r93xH3xv6oqALioKJUxj1e76j74356+cp6GKeODXP+Fu/5/s8fW/ohYIuKIonTl7U7/mOvjfme81T0MW84nx4cdr7XL/n+zx9bwAwFOr3fMH2BgCdUL/nF/re0IKCLijyPU6B1e/5jr432KGgC4rCi5PX9Xu+o+8NfVHQBUXhxcnr+j3f0feG61HQBUVhx8m7+j3f0feGXkIq6MLkQooT/W2To+8NvQRc0IXxEScoou8Nyhwv6EoOeXLId5wLesLxOMEv9L0hWMnhtKtlK2GHA2DQ94YWLhd0JYc8TeQ+zYqPGW+jdZ7LcYJ36HuDHb8Kuo7zzHyEg/yKExxnlQfe94YaHr1R6SFL73ciIg8rSXeymmtdMdR4FCe4T+d9bxR0xTnvS0HXUzK/T7N0Jw+r09523GZPyXyX58V/Pa+feZV5X+LEvBfz9L2hFy8Kup6S02nacZvNkrS4UFmBC7yIE3xB3xvzveY9KuiaJelxm5mNrfi09Si/vh2+z3sUJ+bdn6fvDeG72x5OJ3Db9O9/RUT++u/0JU7dAAjve4O/7raH1dnvFJi97fxLAKJC3xtauF7QlWS//im//7y5T09PS7Kxucz1OMEr9L3BjkcFXeYXTArmhTd2OHd4FCe4j7439OXLG5Xutgf5vpmVL8MpvsQJXqDvDdcLu6ALIyNOUETfm6Zd8mg1H0AjVEgFXa4hTsRJkW2cbDkYP/reBnR8X7M4+zL67RgSBV2jIU61A4qHR8U2Tj7Gj763QRzf16dBLqQkJBR0qSNOQpz02MYppPjR99ZXw7e8+GHBu0xgQsQJimzjFE/86Hvra7FYFBeCyUQFBV1jIk6DHh4b2zh5Fz/63vrq8p0O6QUACroGRZxqB4jTdWzj5Hv8rPJwOnu722y6vPUkQiYNDd/y/X5f/NTjy488rXrmgThdQpwuDQx3eMBs4xRG/Lrngb63rvPmtL1sv9+bNIx8e4abp6BrhHniRJwU523j5G/86Hsbj4lCl1j4goKuqRAn9cNjZhsnL+JH35v+fPEIXPqRx3zp0gM1+e23mqega+h54tR9gDgpxqmcK0/jR9+bvvLPNZX1S18CLiFOUGQbp3jix/bWYvZFnm9fT9UbfuQRkeXLYjXeTYN/iBMU2cZJXuKKH31v7ZYvi/135fXaxfBQ0KWLOAlx0mMbp8DiR9+bguXL6zl7bQ6WLwsz4zsKuoZGnIiTIts4eR0/+t4GYb7fz7f788XAUNA1NOJ0PjDQ4TGwjZPX8aPvbUDFjzYu/4DTEwVdYyJOxEmRbZy8ix99b+iFgi4oIk7ucLC/zRZ9bwPysSHJVs88EKfuiFPtgOLhUSFOlQH63roKqSHJFgVd6oiTECc9xEnq8kDfWyfxNCRhBMQJiojTJfS99eVdQ5ItCrrGRJwGPTw2kceJvrd2vjck2aKga1DEqXaAOF2HONUO0PfWSRgNSbYo6BoIcbo0MNzhASNOlwaKC/S9dZ33tyHJdp6CrhHmiRNxUpwnTvS96fOiIckWBV1TIU7qh8eMONH31ml+73NDku18zzwQJ+JURpyGnidOlwYoxOkknoYkjIA4QRFxuoTtrQUFXVBEnKCIODWj761dYA1Jtijo0kWchDjpIU5yOQ/0vXXidUOSLQq6hkaciJMi4kTfW19eNyTZoqBraMTpfGCgw2NAnM4HhL63K3jXkGSLgq4xESfipIg40feGJmMWdO2SR6vbFkBhVWzoe4Mi+t4GRKNS7YDW4TE8vGUx3N8J4xQb4lQZ8KPvLTnkySHfTfrTGY1Kcm0euhwe28Mb2/0to+9NHXGSujx40PeWHE67WraSqXY4GpUGFdvDG9v9xaCI0yWu970lhzxN5D7Nio+Ze+9LjLxRaejDg394K4K/v/S9jSnyOHnQ93acZ+bjNDeARqW6Aa2Crtge3tjuL31vgyJOtQPe9L09ZKkkqSTpQ5amu7H/dRqVLg2oHB7bwxvb/S3Q9zYQ4nRpoLjgdN/bUzK/T7N0Jw8reVhJupPjNntK5rs8L/4b8/bQqDRoQVc8D28hnvtL39sI88TJs763p2ReXDhus1mSFhcqK5OjUUn98MpVFRdCengbBHl/3YlTbIiT631vsyQ9bjOzsRWfKl5/x/k9jUqdB644PKqHVyK7v+PHqcKvh+uKeeJ0acDdQpy77eF0ArdN//5XROSv/05fGv/UjUalQcX28MZ2fzEo4nSJu9ubiNxtD6vNRuSH5xzM3rYa5fVkGpUGFdvDG9v9xaCIUzMf+t6S7Nc/5fefN/fp6WnJcTY2g0Yl6ZGH1sNje3hju78V9L3pIk5yOQ+u972ZXzApmBfext/higv7kspAMH+ie/yCrqgeXons/tL3NjTi5Gvf2932IN83s/Ll8dGodD6geHhUD69Edn/pexsacTofEPrerkCj0qAFXcE/vBXB31/63sZEnOh7s+B7wZhtoZrk+ZgFXb4/vLZiu79C39uQiBN9b3jVpRGqZx6IE8qIExRZ5cGPvjf016cRioIuKCJOUOR33xv6oxEKQGxc73vD0FoboSjogiLiBEXe972hJ9tGKAq6oIg4QVFofW/o47pGKAq6oIg4QVEgfW/MK853b4SioIt5+t6Yd3M+kL43jKC2EYqCLigiTlAUVN8b8yrze5tGqJ55IE7MlxEn5hXnrfLgdCEOtNAIBSA2bG+Bs22EGu+WAcCQfOh7Qz89G6Eo6IIi4gRFfve9QYVVIxQFXVBEnKAoqL43aLFqhKKgC4qIExTR94aLWhuhKOiCIuIERfS94ZVtI9QurIIu27q7CAu0hhZSnDA5+t7QS8AFXV3q7qAr4DhhfPS9QVkABV196u6gK4A4wR30vSFq1N0BEaLvDS3CLuhqrbuDrrDjhJHR9wY7gRV02dbdQVdgccK06HtDX8EUdF1XdwddwcQJLqDvjfnr54Ms6OpedzfO7YlnPsg4MT/VPH1v6CWegq7aujvoiidOGAF9b8z3mg+voMuq7m6E2xPVfHhxYn7CefregB9QdwdEiO0NIbOtu1uNd9MADIu+N7TwvaCrZ90ddPkeJziFvjfYCa+gy6ruDrrCixMmRN8b+gqvoMuq7g66wosTJkTfG64XdkFXa90ddIUdJ4zMKg8zs3o8Hs3l8xckzv8IyvF4LMYqX2I9mHVzuSEP3759K6+/ffvW6nAX7ibr46yby8SJ9XHidFOem81m8v3Mrrw9rt/dmtO9j+u1nLnbbFgPY/3L42v/Z5c8VBAn1svrxIn1CeN0Y7a+4nemK9P5/L2IrOV1e/z09WX97lZE3n/4odeY9TDWbfNQQZxYL68TJ9YV123zMHt+fpYO+MWkSNT+3HTO5OGP334rr79588bqcISNOEGRbZxe39b96etLlyPLtd/y41kh68GsS+c8XEKcWC8jTqyPH6cr/2rJl8fH4jyx8s+wHsb6yFy7+6zrro/MtbvPuu56d6ftrfX4X+ZJsZcWT4kaeZrUvhLIutfr3fNQizixTpxYnzxON12mK8eIM680sj7E+hV5qFyJ7eFO3X3WiRPrzq5b5WF26VdygS4qvwvwx+fPU90SBIA4QdGNeTH243pd3hgrK82fMh/5vEGcmO8/bxAn5vvMvzYGnGerstL8KfORzzcPT37zmPdrvnl48pvHvBfzPDmJXng2CYqIExTdiEjziV5lpfXEkPmo5s85dfOY92v+nFM3j3m/5n+SDid6lRXmmb/0PyMHbx7zfs1fMezy3WF+wnmenEQvPJsERcQJiv4PKoeNuYFAdu8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBEB8265310>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBEB8265250>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkoAAAC/CAIAAACOgWRNAAAOYklEQVR4nO3dMW4b1xYG4MuAvVfwCgMRIPWv8AoshWvIDsiYSP2a7MCgRe8gG0ijSOkDuHm1DShAireJdHwF6cmEpEheziF5Z+b7EBjS9aE0DH9rNKSu/kH6arFYVG9/+fIl/dPNzc3aymKxWI6t/ZX1zqxXb+/Iw6dPn+rrb968ybp5CXfT+nnWq7fFyfp54jSszw0Gg5TS3WSSUvr2alStj9++Xi6mlN6Px2nD3WRivRvrv97fV+8ekoc14mS9vi5O1i8Yp2F16ru+vt6cnl99l1Iap79Pjx9/+3P89nVK6bsffqh/buvdWM/Nwxpxsl5fFyfrgeu5eRh8/vw5HeDHjx8PGaPttn7ftKnKw0/ff19ff/XqVdbN6TZxIlBunIbV0sff/jzklstT5R/PD/V3K9a7sZ4OzsNLxMl6nThZP3+chvtHtvn1/n55nbj2aax3Y/3MSrv71mPXz6y0u289dv1wq9Pb3tt/ezVankuXT4lW5tPR1lcCrbd6/fA8bCVO1sXJ+sXjNDxkeu02qZhXGq2fYv2IPKx9kNybF3X3rYuT9WLXs/IweOlHcuEQaz8L8NPPP1/qSOgAcSLQ8HE+n8weUu11vE3VK3t/PD9UL96+H4/rJ9K1ld3vmi92fj4dZeVh7a/EyXz9XXEyHzifG6dhqp6wfjve3Py/9Pnz6knPm+l8MlvdePMicW1l97vmi53PysPat9u5Nxenzs+Lk/nA+aw8DFJK1da3m5ubu8lk86czq9f0lgNbPyjd8DifZ+Vh87coiRMVcSJQbpyO2Riw+0JybWXvhaf5ouZTmqfzKurumxcn88XO58bpm5TSjx8/3tzcVNd6m09rLgeqreB7LyTXVsy3az43D1v/VpzML4mT+cD5rDz8/VspU0qP8/nmb6is374aoKvqD/Ehedh8NkmcqIgTgXLjNEz/uJzffum3HFje8nF+7mcbOLOsPDS8uTh1njgRKCsPw5TS9fX1/fX1ly9fluObv+Dr68Drx/n81vdHnfY0n2flYfMjiBMVccrylHl6bvv9zZUbp2HaVgf3R20HydYBOqxhHsSJOnEiUFYevtn6IapT4ua5kR5qmAdxok6cCLQjD9tPbwDQaltObzt+3wk91DAP4kSdOBFodx627HvbtHtjCh3TMA/iRJ04ESgrD6urt7vJZPeWERtKeqVhHsSJOnEi0OF5+Cal9H48/vZqtPm6XHXdtxzY8eGurkZXOS/zmi95vmEexMl8nTg1nM9V2vFfME679r1Vb+zemELHNMyDOFEnTgTKysP2fW9r9g48Z77ea77k+YZ5ECfzdeLUcD5Xacd/wTjZGABABzm9AdBBL+57q/9JnzXMgzhRJ04E2p2HF/e9LV+pW/5pZ0mvNMyDOFEnTgTKyoN9b2xhoxKBxIlAMfveKnt3ltAlDfMgTtSJE4Gy8pDd93aigy5WDxuYzlnQFX/0nFLuP4ckTjna/tXjDF8t9b3RiIIuAokTgfS9EUxBF4HEiUD63gDoF31v7KGgi0DiRCB9b+RR0EUgcSKQvjeaslGJQOJEIH1vGpiOn1fQZT7wn4M49Xw+l743TkhBF4HEiUD63jQwNZpX0GU+a343cer5fC59bwCwi9MbAB2k7409FHQRSJwIpO+NPAq6CCROBNL3RlM2KhFInAik743jKegikDgRSN9bpLY3MB1BQRcvyf3n8DSfi1N/nOGrpb43GlHQRSBxIpC+N4Ip6CKQOBFI3xsA/aLvjT0UdBFInAik7408CroIJE4E0vdGUzYqEUicCKTvzfzx8wq6zIuT+TLn9b3RiIIuAokTgfS9mW80r6DLfOC8OJkPnNf3BkDfOb0B0EH63thDQReBxIlA+t7Io6CLQOJEIH1vNGWjEoHEiUD63jiegi4CiROB9L1d0lPm/6IC++QUdBFInAik741GFHQRSJwIpO+NYAq6CCROBNL3BkC/6HtjDwVdBBInAul7I4+CLgKJE4H0vdGUjUoEEicC6Xsraz5XixqVwm++9/DMt2tenMzre6MUCroIJE4E0vdW3HyuFjUqhd88Xfrumxcn88XO63sDoO+c3gDoIH1v7KGgi0DiRCB9b+RR0EUgcSKQvjeaslGJQOJEIH1vHE9BF4HEiUD63i6pwP62XAq6CCROvCS3HTPpe6MhBV0EEicCdbDvbfQ8Hz3PjzjVE0JBF4HEiUDt7nsbPa/OarPbYy5mAeih0vveRs/z6Si9m86Wf85uL31A/aOgi0DiRKDW970trmbVn5yBgi4CiROBsvIwXC4tNwrs+NGjC+4s+TCbvntKKaUPt2n6lG6vLnUgPdIwDyXHifMTJwIdnoei+94eR1fvprPpU/pwuzq3LR5mj6Orp/l8+d+Zj6cn8wq6zIuT+UvN79aRvrfH0eoybfEwG4ymyzfWVjgFBV0EEicCdarvbTCaLh5m1Ylt+W7gxze/SUGX+cB5cTKfNb9bVh6GgZ841t3D8+oC7mH63/+llNLvf63+yqUbALsVve/t7uF583dcVee2Dvz6KwBOpA19b6PZv39J//nX5N109bSkE9s5KegikDgRqN19b9UPmCxVL7w5w52Ogi4CiROBsvJQ+r63u4fn9PVkVn+bk7JRiUDiRKCYfW8VjUq9oqCLQOJEIH1vu5z6lzJ34OJSQdfp5MZPnMRph7bHKfd4nuZzfW80oqCLQOJEoA72vXFZCroIJE4EanffGwDkKr3vjYtT0EUgcSJQ6/veODMFXQQSJwJl5WF19XY3mRyy9YSeaJgHcaJOnAh0eB6K7ns72/yplXZ/FXQVNZ+rtOMXp6Lmc5V2/IFxKrfvjUtR0EUgcSJQp/rezjN/aqXdXwVdRc3nKu34xamo+VylHX9gnGwMAKCDnN4A6KA29L1xUQq6CCROBGp33xvnp6CLQOJEoKw82PfGFjYqEUicCBSz762iUalXFHQRSJwIpO9tlyMahk50JMVS0HW4HsYjlzgRSN8bjSjoIpA4EUjfG8EUdBFInAik7w2AftH3xh4KuggkTgTS90YeBV0EEicC6XujKRuVCCROBNL3plHp+HkFXQ3nT620+ytORc3nKu349b1xQgq6CCROBNL3plGp0byCrobzp1ba/RWnouZzlXb8+t4AYBenNwA6SN8beyjoIpA4EUjfG3kUdBFInAik742mbFQikDgRSN8bx1PQRSBxIpC+NxpR0HU49YF7iROB9L3RiIIuAokTgfS9EUxBV5bR83z0PO/hhdqBCo+Th69d9L3BmYyeV18WZ7d9fCqy7Tx8XaLvjT0UdB1u9DyfjtK76Wz55+z20gdUnpLj5OFrHX1v5FHQ1cTialb9SWpbnDx8hcvKw3C5tNwosONHj+ws6ZWGeehznD7Mpu+eUkrpw22aPqXbq0sfUAFaFCcPX/kOz4O+t2Pmc5V2/Aq6TjH/OLp6N51Nn9KH29UXx8XD7HF09TSfL/87/DOGHE8h822J09EPX2kPR67Sjl/fGyekoOsIj6PV9/mLh9lgNF2+sbbST62Ik4evLfS9aVRqNK+g6+j5wWi6eJhVXxmX72Z9rtjjKWG+RXE67uEr7eHIVdrxB8ZpmPWJga3uHp5XVwAP0//+L6WUfv9r9Ve+9y+fh6+T7HuDGHcPz5u/o6v64pj767s4Mw9f9+h7Yw8FXXlGs3//kv7zr8m76ep5LV8Z60qPk4evVfS9kUdB19Gqn1BYql656fOXyBbFycNXvqw82PfGFi3aqFSUu4fn9PWrYf3tnmtLnDx8rRCz762iUalXFHQRSJwIpO8tUg+/fVPQdTptj9MRm9PF6XTaHqcj6HujEQVdBBInAul7I1jhBV20izgRSN8bAP2i7409Si7oonXEiUD63sjTroIuCidOBMrKw+rq7W4yOWTrCT3RMA/iRJ04EejwPOh7M7+uLQVd5guZ302czOt7oxStKOiiLcSJQPrezDeab1FBl/kS5ncTJ/OB81l5sDEAgA5yegOgg/S9sUfpBV20ijgRSN8beVpU0EX5xIlAWXmw740tbFQikDgRKGbfW0WjUq8o6CKQOBFI3xuNKOjiJbkFY0/zuTgRSN8bjSjoIpA4EUjfG8EUdBFInAik7w2AftH3xh4KuggkTgTS90YeBV0EEicC6XujKRuVCCROBNL3Zv74eQVd5sXJfJnz+t5oREEXgcSJQPrezDeaV9BlPnBenMwHzut7A6DvnN4A6CB9b+yhoItA4kQgfW/kUdBFIHEikL43mrJRiUDiRCB9bxxPQReBxIlAWXkYVKuLxaJ6e/OHLzd/CcpisViOrf2V9c6sV2/vyMOnT5/q62/evMm6eQl30/p51qu3xcn6eeI0rM8NBoP09cqufnocv31dXe69H4/ThrvJxHo31n+9v6/ePSQPa8TJen1dnKxfME7D6tR3fX29OT2/+i6lNE5/nx4//vbn+O3rlNJ3P/xQ/9zWu7Gem4c14mS9vi5O1gPXc/Mw+Pz5czqAH0zqia3fN22q8vDT99/X11+9epV1c7pNnAiUG6dhtfTxtz8PuWW99jv986rQemfW08F5eIk4Wa8TJ+vnj9Nw/8g2v97fL68T1z6N9W6sn1lpd9967PqZlXb3rceuH251ett7+2+vRstz6fIp0cp8Otr6SqD1Vq8fnoetxMm6OFm/eJyGh0yv3SYV80qj9VOsH5GHtQ+Se/Oi7r51cbJe7HpWHgYv/UguHGLtZwF++vnnSx0JHSBOBBpWL8a+H4/rJ8a1ld3vmu/5fEWczDefr4iT+SbzfzcGbGZrbWX3u+Z7Pr97+OKHZ75d87uHL3545lsx78lJGvFsEoHEiUDDlNLuC721lb0XhuZ7Nb+pqMMz3675TUUdnvl2zX+TDrjQW1sxb/6lL0YFHp75ds0fMVzy3TF/wXlPTtKIZ5MIJE4E+j9a2rYR5M95vQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBEB8265730>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBEB82654F0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAkoAAAC/CAIAAACOgWRNAAATFklEQVR4nO3dMY7bVtfG8XMD9V5BCgMRIPUpvAJL4RqyA1FDvHWa7MDgiFOkzwbSyFL6D3DjWgMoQIpvE2/Ht7gyzaEkipc8l7oi/z8Yhub6aMKJnhGHlDiPkW/yPC9uv76+ylvz+byykue5Hav8E+uDWS9u1+Thy5cv5fUPHz443T2EL5P1ftaL28SJ9X7iNCnPGWNEZBnHIvLTNCrWVx/f20UR+bRayZllHLM+jPXPm03xYZM8VBAn1svrxIn1O8ZpUuz6ZrPZ+XQ2/UVEVvJ99/jy97+rj+9F5Jf1uvzfZn0Y6655qCBOrJfXiRPriuuueTCHw0Ea+M/LS5MxPLqLPzedK/Lw+6+/ltffvXvndHcMG3GCItc4TYqll7//bXJPu6v857gtf1hgfRjr0jgP1xAn1suIE+v9x2lye+SSz5uNPU6s/GdYH8Z6z0L78lnXXe9ZaF8+67rrzZ12bzfv/9M0svtSe0q0kCXRxVcCWX/o9eZ5uIg4sU6cWL97nCZNpiv3kWBeaWTdx3qLPFQ+ievdg/ryWSdOrAe77pQHc+0tuUATlfcC/P7nn/faEgwAcYKiyS7L4nQrpdfxzhWv7P1z3BYv3n5arco70spK/YfMBzufJZFTHir/RJyYL39InJhXnHeN00SKE9YfV+cX/1uHw+mk5zzJ4vR05/ODxMpK/YfMBzvvlIfKj9uudydOg58nTswrzjvlwYhIcenbfD5fxvH5uzOL1/TswMVPimHYZZlTHs5/ixJxQoE4QZFrnNpcGFB/IFlZuXngyXxQ8yKZ9CuoL5954sR8sPOucfpBRP7z8jKfz4tjvfPTmnaguBT85oFkZYX5x5p3zcPFfyVOzFvEiXnFeac8fP+tlCKyy7Lz31BZvn8xgKEqP8RN8nB+Nok4oUCcoMg1ThN5czh/+dDPDth77rK+zzagZ0556Hh34jR4xAmKnPIwEZHZbLaZzV5fX+34+S/4+jbwfpdlC34+GrR9ljnl4fwzECcUiBMUucZpIpfq4P4pXUFycQAD1jEPxAllxAmKnPLww8VPUewSz/eNGKGOeSBOKCNOUFSTh8u7NwAAHtqF3VvN7zvBCHXMA3FCGXGCovo8XLju7Vz9hSkYmI55IE4oI05Q5JSH09HbMo7rLxnhgpJR6ZgH4oQy4gRFzfPwg4h8Wq1+mkbnr8sVx312oObTTafR1OVlXuZDnu+YB+LEfBlxYv5ecaq77q24UX9hCgamYx6IE8qIExQ55eHydW8VNweOjq/3Mh/yfMc8ECfmy4gT84rzTnngwgAAwACxewMADNDV697Kf2PMOuaBOKGMOEFRfR6uXvdmX6mzf3Nlyah0zANxQhlxgiKnPHDdGy7gQiUoIk5QpHPdW+HmlSUYko55IE4oI05Q5JQH5743TxuNcPRZ0KW/9QgMcYIi+t7QCQVdwdpt3jyDL9cPcFKOOKGhJvGm7w3KKOgKwW6TyVpOf4yIqT4dPArihHOt403fGzAcJsvvvQmAL4rxpu8NN1DQFRT7zW/kUfdwxAk1XONN3xvcUNAVsjw2IpKLufeGNEWc0NzNeNP3hq64UOmx7LNsH/D7BokTuqjEm7435tvPU9AV5vxyHctGpPjZNhdjGu3YiFMIDx/z9RrGm743dEJBV2h2konI6+og8ub/2OFwmL3MRcRkIiL7LFuEdxxDnFCvebyFvjfmO85T0BXUfPH26JmZSy6yEftDrojMXuanH3g3Yq6/GEec6geYv+O8a7zpewMGxV7f+no42OuBxJwuD3pdHUTqdmxA+PzFe6K1iQB8KH53w2w2r7xfeian94/Zp4AAz0wC9Zzi7fr+KfrecAMFXYEwRuRzaozYP/Z24VH2bcQJF7WLN31vcENBV2h2m8wYWcSxiZJi0d42RvI86H0bcUI9p3g75eF0ctJeKFDz1iOuLBmVjnkgTrqW63gRi1z5GXa57nt7XBEn1HCNd/M80PeGKgq6oIg4QRF9b+iEgi4oIk5QRN8bOqGgC4qIExTR9wZlFHRBEXGCIvreAADjQt8bbqCgC4qIExTR9wY3FHRBEXGCIvre0BUFXVBEnKCIvjfm289T0MU8cWI+zHn63tAJBV1QRJygiL435jvNU9DFvOI8cWJecZ6+NwDA2LF7AwAMEH1vuIGCLigiTlBE3xvcUNAFRcQJipzywHVvuIALlaCIOEGRznVvBRqVRoWCLigiTlBE3xs6oaALiogTFNH35tFu8+ZbaLke4FkRCrqgiDj1hmcnoe+ttd0mk7Wc/hgRU83TUFHQ5SQ6ZtEx23MwcQVx8oFnJ/redJgsv/cmIFDR8fScki6EPRz6x7NTgb43ZzY9RsaSIQq6mouOWRLJU5Lav9PFvTcoPMTJK56dyuh7c5bHRkRyMffeEF8o6Ooin6bF3xDi1C+encp5mNgle6FAzVuPuLKknj0NtRjK/6WOeRhznJ7T5GkvIvK8kGQvi+m9NygAxOm+RvvsRN+bw/xyHctGpPjhKBdjZJ/dfhNBINvfcJ6Crnbzu2j6lKTJXp4Xp31bvk130dQmpCYkgWy/p3ni1M88z07lAXubvrdGdpKJyOvqIPLm/8DhcJi9zEXEZCIi+ywbwI9IFHS1sItOh2n5NjVRYm9UVsaJOPnGs5NcyQN9b7fni/fXzsxccpGN2J+SRGT2Mj/9xLQRc/1092N9vRR0tZ43UZJv02LHZj+84/aEME+cvM7z7FQzwIUBjdgLJF8PB3tBiZjT9SWvq4NIXXQwEsvt8XRrm3z9I/n6R/Kcno7Yxnzohh7w7HTN5N4b8ACKi/9ns3nlDbczOb2Bx2ZoAMf+aG25PS7iuHKCqNi3kQ34wLNTDfreHBgj8jk1Ruwfe7sw1PRQ0OUmSn/+S377MX5KTqclhxqMdoiTJzw70ffW0m6TGSOLOC6faLK3jZE8H1R6KOhqrXiDiVW88DakeLgiTr7x7HQtD1z31shyHS9ikSvPU8t139vjGxcqtWNfgbMhKd8eOeLkFc9OFweEvjeco6ALiogTFNH3hk4o6IIi4gRF9L2hEwq6oIg4jZaP/jn63qCMgi4oIk5j0Fv/HH1vAIA7uGP/HH1vuIGCLigiTqPiu3+Ovje4oaALiojTmKn3zznl4XT0tozjJpeeYCQ65oE4oYw4oaxJTU+N5nmg7435Kgq6mCdOzHec99Q/R98bOqGgC4qI09h47Z+j7435TvMUdDGvOE+cRjXvu3+OvjcAwH2E0z9H3xsAQEdQ/XP0veEGCrqgiDiNRD/9c/S9wQ0FXVBEnMbGa/8cfW/oioIuKCJOo+K7f46+N7RHQRcUEScoou8NnVDQBUXECYroe/PIR4NRaAZc0BXawxfa9vgw4DiFhjgJfW+t9dZgFJphFHSF9vCFtj29GUacQkOc6HvTcccGI3QX2sMX2vbgoRGnAn1vznw3GIVmYAVdoT18oW2PbwOLU2iIUxl9b87UG4xCM+yCrtAevtC2R92w4xQa4kTfm76ODUahGVtBV2gPX2jb09HY4hSa0caJvjeHeU8NRqHND7WgK7SHL7Tt8TQ/1DiFNk+cygP2Nn1vjXhtMArN8Aq6Qnv4Qtser4YXp9AQJ7mSB/rebs/7bjAKbX5gBV2hPXyhbY/v+YHFKbR54lQzwIUBjYTTYIQWQnv4QtsePDTidA19b7cF1WAEV6E9fKFtDx4acapB35uDfhqMQjOYgq7QHr7Qtqcfg4lTaIgTfW8teW0wCs3wCrpCe/hC2x6vhhen0BAn+t468d1gFJqBFXSF9vCFtj2+DSxOoSFOFweEvjeco6ALiogTFNH3hk4o6IIi4gRF9L15FFqjko/toaCrN6HFyQfi1BviJPS9tRZao1Jv20NBlw+hxak3xMkH4kTfm47QGpVC2x444eGDIuJUoO/NWWiNSr63h4Iur0KLk2/EySviVEbfm7PQGpXUt4eCrj6FFid1xKlPxIm+N32hNSp13B4Kuu4rtDh1RJzua7Rxou/NYT60RiVP20NBVz/zocXJ0zxx6meeOJUH7G363hoJrVHJ6/ZQ0OVbaHHyijj5RpzkSh7oe7s9H1qjku/toaDL63xocfI9T5y8zhOnmgEuDGgktEal0LYHTnj4oIg4XUPf222hNSqFtj1wwsMHRcSpBn1vDkJrVOpneyjo8iS0OPWDOHlCnOh7aym0RiWv20NBl2+hxckr4uQbcaLvrZPQGpV8bw8FXV6FFiffiJNXxOnigND3hnMUdEERcYIi+t7QCQVdUEScoIi+N49oVLo4oHj3USFOFwcU7z4qxEnoe2utdaNSdMyi4wP/2jcKunygoIs4KSJO9L3pcGpUio6nkKULedw9HPyhoAuKiFOBvjdnTo1K0TFLInlKUvt3uvC8cR5Q0OUVBV193n3wiFMZfW/OXBuV8mla/P0QKOjqEwVdxEkRceK6N332rOPF606e0+RpLyLyvJBkL4tpz5vWBhcq3VdNnB4Rcbqv0caJvjeHeddGpV00fUrSZC/Pi9O+Ld+mu2hq71LzOtwDNSqp3/3m5g1mnoKu8oCnu9/cvMHME6fygL1N31sjLRqVdtHpMC3fpvYX5OTbtLISJgq6fKOgS4iTHuIkV/JA39vt+S6NSiZK8m1a7Njshx23x/c8BV1e5ynochogTsSpjL43fS0alZbb4+nWNvn6R/L1j+Q5PR2xhXzohh5Q0AVFxOka+t5ua92otNweF3FcOWNQ7NsGcKIALVDQBUXEqQZ9bw5aNipF6c9/yW8/xk9JemMySBR0eUJBF3FSRJzoe2updaNS8QYTq3jhLeS0UdDlGwVdxEkRcaLvrZPWjUr2FTh7r/LtwHGhklcUdF0c8HT3wSNOFweEvjeco6ALiogTFNH3hk4o6IIi4gRF9L2hEwq6oIg4QRF9b1BGQRcUEScoou8NADAu9L3hBgq6oIg4QRF9b3BDQRcUEScocsrD6ehtGcdNLj3BSHTMA3FCGXGCouZ5oO+N+SoKupgnTsyHOU/fGzqhoAuKiBMU0ffGfKd5CrqYV5wnTswrztP3BgAYO3ZvAIABou8NN1DQBUXECYroe4MbCrqgiDhBkVMeuO4NF3ChEhQRJyjSue6tQKPSqFDQBUXECYroe0MnFHRBEXGCIvreRmS3efMtvVwrnKWhoAuKiBMU0fc2FrtNJms5/TEiprq300JBFxQRJyfRMYuO2Z5j0yvoexs4k+X33gQA+qLjaa+WLoQ9nCv63h6e3bcZ8bWHo6ALiohTc9ExSyJ5SlL7d7q49waFh763gctjIyK5GK1PSEEXFBGnLvJpWvwNcczDxC7ZCwVq3nrElSWPxZ7HWLR91DrmgTihjDi19pwmT3sRkeeFJHtZTO+9QQFongf63h54frmOZSNSHLrlYozss9uvQlPQxXxv88Sp3fwumj4labKX58Vp35Zv0100td/gNd/jgWy/p3n63oZvJ5mIvK4OIm8ekcPhMHuZi4jJRET2WdbiAI6CLigiTi3sotNhWr5NTZTYG5WVcaLvbeDzxbv/Z2YuuchG7DGciMxe5qfjuY2Y6y/GUdDFfG/zxKn1vImSfJsWOzb74R23J4R5pzxMnP7DCMRyHe822evhMDPfXmKNRUReV4eZzI2RnCsFgIe13B5PB3Db5Ov/i4j8339P/zTmQzdX7N4eT/GrSWazeeVygJmc9nb20K31W0sA3Ndye1zEceXVh2Lfxrd2E/S9PTBjRD6nxoj9Y28XtL4BKOiCIuLkJkp//kt++zF+Sk6nJdmxldH3NkC7TWaMLOK4fKbC3rZnJrt8D1DQBUXEqbXiDSZW8cLbmPdwTnngureHtFzHi1jkStCX686fnwuVoIc4tbPcHuXb93j59sjpXPdWoFFpVCjogiLiBEVOefj+Wk1eerPd+Zsvz38JSp7ndqzyT6wPZr24XZOHL1++lNc/fPjgdPcQvkzW+1kvbhMn1vuJ06Q8Z4yRb0d25d3j6uP74nDv02olZ5ZxzPow1j9vNsWHTfJQQZxYL68TJ9bvGKdJseubzWbn09n0FxFZyffd48vf/64+vheRX9ZvXuFhfRjrrnmoIE6sl9eJE+uK6655MIfDQRoY5BuTcO7iz03nijz8/uuv5fV379453R3DRpygyDVO3y/rfvn73yb3LNd+y9ujQtYHsy6N83ANcWK9jDix3n+cWv7Wks+bjT1OrPxnWB/Ges9C+/JZ113vWWhfPuu6682ddm837//TNLL7UntKtJAl0cVXAll/6PXmebiIOLFOnFi/e5wmTaYr95FgXmlk3cd6izxUPonr3YP68lknTqwHu+6UB3PtLblAE5X3Avz+55/32hIMAHGCoknxYuyn1aq8Y6ys1H/I/MjnC8SJ+e7zBeLEfJf5740B59mqrNR/yPzI5+uH7755zD/WfP3w3TeP+YeY5+QkOuFsEhQRJyiaiEj9gV5l5eaBIfOjmj8X1OYx/1jz54LaPOYfa/4HaXCgV1lhnvlrT0YBbh7zjzXfYjjkL4f5O85zchKdcDYJiogTFP0PIM9HzOWuoucAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBEB82654C0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBEB82652B0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBEB8265B50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBEB8265880>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBEE8164190>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBEE8164040>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBEE8164040>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBEB8265F40>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=586x191 at 0x7FBEB8265DC0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "LEVEL: \"mylevel\"\n",
    "FLAGS: premapped\n",
    "REGION: (0,0,20,80), lit, \"ordinary\"\n",
    "\n",
    "ROOM: \"ordinary\" , lit, (3,3), random, (10,10) {\n",
    "    TERRAIN: (5,5), '%terrain%'\n",
    "    TERRAIN: (5,6), '%terrain%'\n",
    "    TERRAIN: (5,7), '%terrain%'\n",
    "    TERRAIN: random, '%terrain%'\n",
    "    TERRAIN: random, '%terrain%'\n",
    "    TERRAIN: random, '%terrain%'\n",
    "}\n",
    "\n",
    "RANDOM_CORRIDORS\n",
    "\"\"\"\n",
    "\n",
    "Terrains = [\n",
    "    \" \",  # solid wall\n",
    "    \"#\",  # corridor\n",
    "    \".\",  # room floor (Unlit, unless lit with REGION-command)\n",
    "    \"-\",  # horizontal wall\n",
    "    \"|\",  # vertical wall\n",
    "    \"+\",  # door (State is defined with DOOR -command)\n",
    "    \"A\",  # air\n",
    "    \"B\",  # crosswall / boundary symbol hack (See REGION)\n",
    "    \"C\",  # cloud\n",
    "    \"S\",  # secret door\n",
    "    \"H\",  # secret corridor\n",
    "    \"{\",  # fountain\n",
    "    \"\\\\\", # throne\n",
    "    \"K\",  # sink\n",
    "    \"}\",  # moat\n",
    "    \"P\",  # pool of water\n",
    "    \"L\",  # lava pool\n",
    "    \"I\",  # ice\n",
    "    \"W\",  # water\n",
    "    \"T\",  # tree\n",
    "    \"F\",  # iron bars\n",
    "]\n",
    "\n",
    "for terrain in Terrains:\n",
    "    render_des_file(des_file.replace(\"%terrain%\", terrain), n_images=3, full_screen=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07f22397-959d-4ab1-b10e-d22645a63c3a",
   "metadata": {
    "tags": []
   },
   "source": [
    "Adding terrain in fixed or entirely random places is great, but what if we want to control where the terrain is placed? For these we can use _selections_. These are collections of coordinates that can be combined, and then randomly selected from to place terrain. We can also use the selections without randomness to put terrain in an entire location. There are several ways of creating these selections. `rect` takes a region (specified by `(x_left, y_left, x_right, y_right)` specifying the top left and bottom right corners) and returns selection of coordinates on the edge of the rectangle. `fillrect` returns the entire filled rectangle coordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "fdb40349-e9a1-4e27-9cb5-8c156dd9b49f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using fillrect\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=730x240 at 0x7FBF292FF820>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using rect\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=730x240 at 0x7FBF292FFD30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "MAZE: \"mylevel\", ' '\n",
    "FLAGS:premapped\n",
    "GEOMETRY:center,center\n",
    "MAP\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "ENDMAP\n",
    "REGION: (0,0,20,20), lit, \"ordinary\"\n",
    "\n",
    "$left = selection: %rect% (0,0,6,14)\n",
    "$right = selection: %rect% (8,0,14,14)\n",
    "\n",
    "TERRAIN: $left, 'T'\n",
    "TERRAIN: $right, 'C'\n",
    "\n",
    "\"\"\"\n",
    "for rect in (\"fillrect\", \"rect\"):\n",
    "    print(f\"Using {rect}\")\n",
    "    render_des_file(des_file.replace(\"%rect%\", rect), n_images=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6360aeed-e7d9-4100-b240-f22ffd9fbf6c",
   "metadata": {
    "tags": []
   },
   "source": [
    "We can select a single coordinate out of a selection using `rndcoord` as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "59ee5e98-aacd-453d-9bda-2bda5ac3399c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=730x240 at 0x7FBEB82590A0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "MAZE: \"mylevel\", ' '\n",
    "FLAGS:premapped\n",
    "GEOMETRY:center,center\n",
    "MAP\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "ENDMAP\n",
    "REGION: (0,0,20,20), lit, \"ordinary\"\n",
    "\n",
    "$left = selection: fillrect (0,0,6,14)\n",
    "$right = selection: fillrect (8,0,14,14)\n",
    "\n",
    "TERRAIN: rndcoord($left), 'T'\n",
    "TERRAIN: rndcoord($left), 'T'\n",
    "TERRAIN: rndcoord($left), 'T'\n",
    "TERRAIN: rndcoord($right), 'C'\n",
    "TERRAIN: rndcoord($right), 'C'\n",
    "TERRAIN: rndcoord($right), 'C'\n",
    "\n",
    "\"\"\"\n",
    "render_des_file(des_file.replace(\"%rect%\", rect), n_images=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfb0802a-5296-44b3-afe0-cd01212319f1",
   "metadata": {
    "tags": []
   },
   "source": [
    "We can also use the `REPLACE_TERRAIN` command, rather than just the `TERRAIN` command. This command takes a region, a terrain to replace, a terrain to replace with, and a probability (specified in a percentage), and then replaces each tile of the terrain to replace in the region with the terrain to replace with with the probability specified. Below, we randomly place some trees in the top left and clouds in the top right (by replacing floor), fill the bottom with lava and then randomly replace some of the laval with ice."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "70d7cbd0-a292-489b-8ec4-881078dcc202",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=730x240 at 0x7FBEB8259910>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "MAZE: \"mylevel\", ' '\n",
    "FLAGS:premapped\n",
    "GEOMETRY:center,center\n",
    "MAP\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "ENDMAP\n",
    "REGION: (0,0,20,20), lit, \"ordinary\"\n",
    "\n",
    "$top_left_region = (0,0,6,6)\n",
    "$top_right_region = (8,0,14,6)\n",
    "$bottom_region = (0,8,14,14)\n",
    "\n",
    "REPLACE_TERRAIN: $top_left_region, '.', 'T', 20%\n",
    "REPLACE_TERRAIN: $top_right_region, '.', 'C', 20%\n",
    "\n",
    "TERRAIN: fillrect $bottom_region, 'L'\n",
    "REPLACE_TERRAIN: $bottom_region, 'L','I', 50%\n",
    "\n",
    "\"\"\"\n",
    "render_des_file(des_file, n_images=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f231d1c-886b-4090-ac58-8e2c2592f955",
   "metadata": {
    "tags": []
   },
   "source": [
    "Another way of generating selections (instead of `rect` or `fillrect`) is using `line` or `randline`. These both take a start and end position, and `randline` also takes a roughness parameter controlling how random the line is between the two coordinates. Here we generate a straight line of trees using `line`, and several different random lines of clouds with different roughnesses using `randline`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "fe63fcb0-fddc-4e8b-b930-a5595a26113e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using roughness 0\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=730x240 at 0x7FBF292FF670>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using roughness 5\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=730x240 at 0x7FBF292FFC40>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using roughness 15\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=730x272 at 0x7FBF292FFBB0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using roughness 30\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=826x240 at 0x7FBF292FF670>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "MAZE: \"mylevel\", ' '\n",
    "FLAGS:premapped\n",
    "GEOMETRY:center,center\n",
    "MAP\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "...............\n",
    "ENDMAP\n",
    "REGION: (0,0,20,20), lit, \"ordinary\"\n",
    "\n",
    "$top_left = (0,0)\n",
    "$top_right = (14,0)\n",
    "$bottom_middle = (7,14)\n",
    "\n",
    "$tree_line = selection: line $top_left,$bottom_middle\n",
    "$cloud_line = selection: randline $top_right,$bottom_middle,%roughness%\n",
    "\n",
    "TERRAIN: $tree_line, 'T'\n",
    "TERRAIN: $cloud_line, 'C'\n",
    "\n",
    "\"\"\"\n",
    "for roughness in (0,5,15,30):\n",
    "    print(f\"Using roughness {roughness}\")\n",
    "    render_des_file(des_file.replace(\"%roughness%\", str(roughness)), n_images=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08d6892e-f5eb-45b5-8d62-97223c0ccccd",
   "metadata": {
    "tags": []
   },
   "source": [
    "More information on different types of selections can be found in the nethack wiki [here](https://nethackwiki.com/wiki/Des-file_format#Terrain_selections)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "604628d0-e3d8-4e3c-a04a-62029a30e48e",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Controlling Randomness\n",
    "\n",
    "As we've seen so far, there are many different ways of controlling randomness in des-files. We'll cover them all in this section:\n",
    "\n",
    "  * `randline` and `rndcoord` we've already seen. They're ways of creating random selections or coordinates given some input\n",
    "  * The des-file format supports conditional statements using the `IF[...]` command. Inside the square brackets can either be a percentage (e.g. `IF[50%]`) or a comparison (e.g. `IF[4 < $variable]`)\n",
    "  * dice-rolls can be used to generate random integers. They take the form `MdN`, which means to roll `M N`-sided die and sum the result (e.g. `2d4`). These can be used in `IF` statements, like `IF[2d4 < 6]`, or any other place an integer is used.\n",
    "  * Arrays can be created in des-files, supporting lists of any object of the same type. The `SHUFFLE` command can be used to randomise the order of a list after it's been created, and then the list can be accessed by index to get a random element."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "08ec7609-458f-4271-bcbd-80fbbfd815b9",
   "metadata": {
    "tags": []
   },
   "source": [
    "Here we use `IF[%50]` conditionals to place either trees or clouds on the left of the map, and dice-rolls to randomly place lava or ice on the right. We use shuffle to randomly pick one monster, and a dice-roll to randomly pick another"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "a3db1f63-8530-4fae-b248-39db8d0d2ca0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAhoAAALPCAIAAACrKP7tAABAXklEQVR4nO3dPW7jyPrv8UeDE/Q2OhDQjqeBuUDnIw2Ts4H/DkSb3sGNbm7K9A7uBjrRkZwPMCfo2A0wcDD5jSfTDUouFt+KLIkUq8TvBwNDlp7pVlvlp/hav8UqjgXh2GdZ9alYpPacjbX+v3/9ZX77v/7fby5/tLPV7n7UP39u9s/Po/75//3vf81v//f//b+j/nUY1tjd41+V7w/Lau0qt803rvUYWCySyY9/y6/fx6kvO/7R8OTiP4PVI2h0j8AM3T2K6aT+0ZrP1z9m13oMSf10s6ZPV//gswvqaxonBv1SfYZwrUfQ6B4hGa17/KIet326WqXAtR5DimWbyzaXH/8Wkeqn++Pv0qvn1NdY5oafP3/WC1zrETS6R0jG7B6/XOMfgBE8HJqf//Mf+fap4VXX+p6+fPmiHvScIVzrAQxupO7RMJ2ku+bHbVzrcalMvn2yHcH89Xt5V8O1vqxP31f7HOfV45bQPXw3Zvc4TSfmwcokOn2u6U6SSOoFZ9RjWL9+bz2CqT57Ke+WutZrem6wTAA/f/5U+xzHP5zrcQXr+/v1vcMVdK71dI+wjNc9ir0T/RHqT7f+ksm13rRcRstlZK+hvqPI/Bkbh5rVZ98wN7jWl+mDVKafP3/queHCepMXP95bqV/f3++fn/fPzz1nCNd6he4RWP043aN0sGuVx6s83i3jb5+KZySRQ5ap/yp/hWs9hpTJdiUi5U+6/u3Z9T18+fJFzQ09D1651iMgdI+QjNM9Fo23Mf6fv7M//5HdMm4YBEPU42wNNyKZYtnm8u2Tw4XklfrKbYy//fabfHT/th0O/ZLe8+hf//jy0u+NopfG2xjVfkb/Oxwt9X1uY6R7eGvs7lG9jVH58x+X9+hej7Fk8s08adZ5y2u9vomeGCp7FXpvo/KSaz1G5Xqr/IW31tM9QnVx92ieTr59av6M2zYWXOsxDH17kaG0ZVEZDX3q/6f06uI/8va5ONth2eEQkbv3L/LuVr+qv4zA0T3CMEL3aJ5OFL3v2fNzda3HRWLZ5iJS3kAYsP7D3fuXNzlNAOb00LZ74VqPm0T38No43aPhvhN1KFNE0n6bjq71uEj5d63t9qKt/ixc65vcvRdHqLRKga45ox43g+7htZG7R3EqPsqL3ZjdMo7yTH1VzySH6laDaz0GYZ5Ma1z2wHK4s09954rCb5+LiaHPlGCvZ0XhYU21ojDdIwhjd4/mK7vgrY5rM8R5teBKPQvUB40F6mExdvdgza7wlbcHukeDaz2AWzVo9yDvJHDkncAbdI/AkHcCEfJO4Be6R0jIO0GBvBP4hO4REvJOUEfeCYDzkHeCD+SdwFd0D9+Rd4IK8k7QH3knMJF3Qn0NeSfU90DeCfUNyDtBCXkn8AndIyTknUDIO4EVeSewIO8ELsg7QQ15J+iFvJNZI+8E/qF7hIG8ExTIO4HH6B5eI+8EIuSdwGt0D6+RdwITeSewIO8EFuSdoIS8E1iQdwIL8k7QhbwTAOch7+RCT5uN/XaHzgKPkHcysqfNRj8OZlRMZA7d46aQdzII1SNeH+8qz//+9DbF23FH3slVmHOJhLWdcV2z6h7BI+9kQJWOoNd4aCvwDnknV/T6ePfl/fXL+2t94wPKrLqHopeBqXwNYG0Y8k4G9/jy8vp4l+8l+bj0TT1+fby7uwuja5B3ch0PSVp5gJnTc0Z9RjEf+Iy8k+Et18XV7uZj35F3chXqSNc2TdS36kHl8Bcqbr57mLPFKo6PIiJyLN996fWMQt7JGHbLhneodla8Hg0iQt7JVTy+vDy+vCQH2abJNk2Sw+mZqd+XM/JOxqDmj7XxNZSbLsbrHqX7TtQhS3MbQX3AbZ+ua72mluPP875bIyPVR3mmT5z8+U9x4Eu6RsaE77+4crxzgbaKfvWNKwq3sawc3LO+sW15MjykZcOis2tMOTxq952o/BLzgZ293nLfyXy6xyHLLGPA/uoY76d//djdY6Z5J3vJ9tFSRL5+lz//ka/fTyfkj7v0GIvUjof6iLyTkbV9+l6PiunMp3vYZ4sw9lHIOxnKXjKJUjEOiyvJQY67VERklyw+/h2+vX/yTq7jabNRF2W8vb3pqzPSlTwk6TZNGo+U+oC8k2sK7g2TdzKC6DRnPCTpIipmlOMulV0iUSpRKlki3g+OBuSdDEGfbzfnEhF5WMo2TR6WEsI54wJ5J4Oz77mG1zcU8k7Oo2aRoySn3RFF7ZRk5Sd9Rt7JONQ+03GXLoy55GiM5b1k60uOEt60m+8elYu79BRiXivs7ZsvkHcylOMuXe/ybZ5J+XiXOpqhv/V6WJB3MrL1Lje/XWSnS8m3efNlgTDdcPdoe4f+v/MCeScQIe/keuoHNJKDJAfmEpsZdo9VHAczkZB3Mp7TOfldssjkGIt+bPLtX0HeCSzIO4EFeSejUFcJa+tdXnlGnVzx8IdD3gksyDuBxdjdw3bu5IZVDovXn/FwImlV3kbolVjgVA/gVg3aPeaYd3JTyDuBN+gegSHvBCLkncAvdI+QkHeCAnkn8AndIyTknaCOvBMA5yHvBB/IO4Gv6B6+I+8EFeSdoD/yTmAar3sUeyf6I9Sfbv0lk2u9abmM1KL8PVHfwPwZly/dq37859WXta2+peeGC+tNXvx4b6VexZbsn597zhCu9QrdI7D6cbrHTPNObgF5J/AJ3SMk5J1AyDuBFXknsCDvBC7IO0ENeSfohbyTWSPvBP6he4SBvBMUyDuBx+geXiPvBCLkncBrdA+vkXcCE3knsCDvBBbknaCEvBNYkHcCi7G7B2t2ha+8PdArscCpHsCtGrR7kHcSOPJO4A26R2DIO4EIeSfwC90jJOSdoEDeCXxC9wgJeSeoI+8EwHnIO8EH8k7gK7qH78g7QQV5J+iPvBOYyDuhvoa8E+p7IO+E+gbknaCEvBP4hO4REvJOIOSdwIq8E1iQdwIX5J2ghrwT9ELeyayRdwL/0D3CQN4JCuSdwGN0D6+RdwIR8k7gNbqH18g7gYm8E1iQdwIL8k5QQt4JLMg7gQV5J+hC3gmA85B3ggJ5J/AG3SMw5J1AhLwT+IXuERLyTlAg7wQ+oXuEhLwT1JF3AuA85J3gA3kn8BXdw3fknaCCvBP0R94JTOSdUF9D3gn1PZB3Qn0D8k5QQt4JfEL3CAl5JxDyTmBF3gksyDuBC/JOUEPeCXoh72TWyDuBf+geYSDvBAXyTuAxuofXyDuBCHkn8Brdw2vkncBE3gksyDuBBXknKCHvBBbkncCCvBN0Ie8EwHnIO0GBvBN4g+4RGPJOIELeCfxC9wgJeScokHcCn9A9QkLeCerIOwFwHvJO8IG8E/iK7uE78k5QQd4J+iPvBCbyTqivIe+E+h7IO6G+AXknKCHvBD6he4SEvBMIeSewIu8EFuSdwAV5J6gh7wS9kHcya+SdwD90jzCQd4ICeSfwGN3Da+SdQIS8E3iN7uE18k5gIu8EFuSdwIK8E5SQdwIL8k5gQd4JupB3AuA85J2gQN4JvEH3CAx5J2NQB21DOmJL3gl8MufuER7yTsajTwCmKwljaQfyTuCTOXeP8JB3Mp4oz5JIHpJUfQ3oakXyTgCch7yTsRyXqf4aBvJO4Ku5dY/wkHcyqm2aSJRIlGzTJDl3I/3KyDtBf+SdwDRe9yhOxa/yWB2y7J9Y4FRvUsvx53nfrZGR6vfRUiRdRImsRESSgxx3qYgsokQVtJ2Z9+L9m/cQlRMIhqkv61we+MJ6kxc/3lupV/kl5oNh65UZdo+w68fpHvPNO9lHS/XguEuTQzGXqGeme1+9kXcCn8yqewSPvJNhqelkESXm5KG/VTsoHr558k5gQd4JLMg7Gct6l592UHbJj79FjH+FPtgVHvJOUEPeCXoh7+QS612+iqs/s84TJx4h7wT+mUn3CB55J6OI0q9RsorjfbRMDqdjXAEcuiXvBB6bS/cIFHknY9An5BV9HsXfMU3eCTw2q+4RHvJOYCLvBBbkncCCvBOUkHcCC/JOYEHeCbqQdwLgPOSdDGIv2Vpi84F+XkTWbdfM+oa8E3iD7jHz7jH3vJN97WBh4yjxDnknI3vabNQDbrTsg+6hzLx7zDTvRI2Dzk0JTy8XJu9kZOpzv7u7E2NeQRu6R6MZdo+5njvJZJufZtT6JkYQyDsZz9vbm/4KVNE9WurnmHeyl0xieVgWe2p7yUIaFuSdXIU6zMXBLid0D9+N2T2KC4XNHUyVPWBPIHCt90Tpg89s6+kuMhH/7mdsvtTPuABcf7S202vt9Y1LQIqxvGNd40s9651yNa5PrfUtLsuDT2uqJSDpHhXz7B7F3on+CPsnFjjVm5bLSP+i9jFg/elY57OIyPrcD3vC918w33s5gaAad3NefVnb6ltt04ZrvcmHH+/TZtN21qRzBXUf3r+mYkv2z889Z27XeoXuMcn7Ob9+nO4xu7yTvWTyLHIfzsV8bcg7Gc3TZvP48vLy+q6fWS4jP8ezP+geISHvZCj7LFNbFvYjniHtrmrknVxMzSXqsbmVl+e7yvD2bWwIeSfjo3tY6ueYd2KOhkUmR+MT19+uJRbJfBsN3cg7uZieS9S8omcUs9mFseb0B/JOBkT3sNTPOu9kkTU8VmNiL9lC5JD5PSZGSCwg70Rr23NSc4nXA2NSdI/Zdo/m6USZT2LBujYRB7B9Qd7J+J42m5fX9yyJ4nRnziJeDww/0D28/oeQdzKU+nXi9QMX/h7KKA9R8k5Goq/sypJoFceb3z/7vrHpB7pH4zO+GLl7zDrvRA8Lfd7MfMbP90/eyZWFtXgXeSdXQ/cg7yR45J3AgrwTWJB3gi7l7QHyTgD0NWj3qJ6Kn09iwY2IyTuBL+gegRm6exTTyTwTC0I1WmJBm7nlncAJ3SMko3WPmeadhI28E/iE7hES8k5QR94JgPOQd4IP5J3AV3QP343ZPU7TiXmwUmUPiNgSCFzrMazqItLGEUz12Ut5t9S1XtNzg2UC0Cs/Hv9wrscVrO/vnVabd62ne4RlvO4xu7yT26kn74T6Hsg7ob4BeScoIe8EPqF7hIS8Ewh5J7Ai7wQW5J3ABXknqCHvBL2QdzJr5J3AP3SPMJB3ggJ5J/AY3cNr5J1AhLwTeI3u4TXyTmAi7wQW5J3AgrwTlJB3AgvyTmBB3gm6kHcC4DzknaBA3gm8QfcIDHknECHv5KaocwZBnzCge/ijeziRd4ICeSc3RJ9/TlcS6MoidA9/dA8n8k5QR97JDYjyLInkIUnVVy6WxSX6DyfyTvCBvJMbclym+usNoHtMq3s4kXeCCvJObsY2TSRKJEq2aZKcu49oR97JfPQZTuN1j+JU/CqP1SHL/okFTvUmtRx/nvfdGqG+gXkPUTmBYJj6ss7lgS+sN3nx4x2/fh8tRdJFlMhKRCQ5yHGXisgiSlRB26lUp/ej8kvMB8PWn94q3WPqerfhNE73IO8kWOSdhGwfLdWD4y5NDsUvv3pmuvd1PrrHhJyHE3knEPJOboX6/V9Eifnbrr9VW5Rn/O6QdzJPPYcTeSdwQd5JINa7/LRFuUt+/C1i/BLpoxNDIe/k5g0znMg7mTXyTkK23uWruPor23nixH90j0k4DyfyTlAg7+Q2ROnXKFnF8T5aJofTQYkbOHNA95hGz+FE3glEyDu5KfoMqqIPfIfbUukeE+oeTuSdwETeCSzIO4EFeScoIe8EFuSdwGLs7rH4q9w+AAA4A0tAAgAGwHQCABgA0wkAYABMJwCAAXBlV2CufOkOV3aFhSu7YDH28KjeFV+P1bSvF+1aj6A1JpRYgt9d6xE0usfMFdNJWz6zer7+MbvWI2iWqKvjHw0zhGs9gkb3gOhzJ22frlYpcK1H0Cxzg1o9pVLgWo+g0T2gcCoeF9GLPPacIVzrAYSiYToxgzbTHgGUrvUIS5++b67w6FqPW0L3mLPTdGIerEyiIsA5iaRecEY9RrW+v1cJeoPX67nBMgHoEMbjH871uILxhodC9wjagMOj2DvRH6H+dOsvmVzrTctltFxG9hrqexav7+/3z8/75+eeY8K1XmkLwtJzw4X1Jq9+vKHXX2d40D0CrR92eJQuFFYf5G5ZhBCs8viQZYePZYgrN6m41uPGmEm9nZPEGfUICN0Dzbcxqg94t2yI8RqkHmdrvBFJbSn0v0fJUl+5T+23336TjyNXlqRe9ZKeJPrXP7689HzP6OPKw6PxNka6h7fGHh7N4b6N0c0WrvUYluvNrq715l5F5fnGl1zrMaqxh0cF3SMsAw6P5unk26fmz7htY8G1HqFY/EfePhcHpiw7HKLCFt/d6kl0vT10j9lqnk4Uve/Z83N1rUcQ7t6/vMlpAjCnh7bdC9d63CS6xww13Heiz4yl/TYdXesRHJ3x/tNQKTBz4F3rcTPoHnNW7J1E+Wnr4E+R3TKO8my3jFN1lUWeJYfqVoNrPYKmu//b55/1Jy+vR9DoHhAWqA8OC9TDggXqYTH28GDNLgDAAMg7gQPyTmBB95g58k7QC3knsKB7QMg7QR/kncCC7gGFcye4CHknABTyTtCBvBP0R/eYM/JObgF5J7Ag7wQW5J1QXyDvhHoL8k6otyDvBL4g7wQa3QPknQSGvBNYkHcCC/JO0I28E1iQdwIL8k5wJeSdwBXdY7bIO0EH8k5wBrrHDJF3gm7knaAnuseckXeCXsg7gQXdA0LeSXDIO4EFeSewIO8EABAA8k7kabPRj7kNwm6GeScMj/7oHhO+Ex8UeyeHZda4LvRQz18iyrMoz+p3OV3OHA31b6GZ63HVX7q83k8Mj5587h7jYXhUBJB3os/apSsZY0Z5fbz78v765f319fFu8D/8Nsw574Th0cnn7jE2hofJdt+JD6I8SyI5LtNFnhyXqUgy+CLWD0mqH3BnhCszv6TPUSzX+skxPGDB8DAFkHdyXKb667DUzuk2TdS36gF7rBWzzTtheJzBt+4xHoZH3WnvZJXHegdTJRDor7rA/N9c6y+xTZOHg4jIdiXJQVbLof7g06mzw0FEEhFJDrIK82TagIu4VZj5JW1rADfml/SsX3vcQRgePet97h7jYXjUXyrdd6I+Y3MbQX3AbZ+ua72mluPP845eso+WIrKIEnXHbHKQ4y5Vz6iCtptmev75Is0nYzrvxen/5w9eX/8UVQKB+cDOXt+4onAby8rBPesbUxMm/PFWMDwqr1ruO/Gte1yhnuFRedXfvBM1l4jIcZeq+UPNJeYzF2o7sX/IMu7u7OO2804YHk686h5XwPCo8zfvRO+a6FnE/FZNJ5d8bE+bzd3dnYi8vb2pByKSruQhSbdpslt6OiDIO7kOhgd5JxYMj8DyTta7/LSDskt+/F36Wy7fNdFnzMzRICIPS9mmycNSPD6k34C8k2ExPC7563zoHqNieLS95HXeyXqXr+JYpLTN0nnipA+1UXzcpQtjNByNP28v2Vo83cS4pnnmnTA8LuFJ9xgPw6NNCHknUfo1SlZxvI+WyeF0jGuQ+xnXu9z8dpGdVsne5uLt7ur1zTbvhOFxCV+6x2gYHnUN04mZQJAcuv8I13on+oS8ok/CDzLm6nOSev+hDOiruXv/otaZt0whl9T7ieFxBq+6x6gYHnXFqXi9lokYCQT6SUtiQc96DGLyBepd80vs9SxQP6ypFqinewRh7OFB3klgJp9OhsV0MizyTmBB3gkAIADkncDBDPNO0B/dY+aK6aRtUWj1fP1jdq1H0CwLOzauDexafwl1zJ0D7hOie0CCyDvB5HzOOxk7Dged6B5QfM87geemzTu5QhwOgJ4CyDvBtDzPOxkvDgdnoHvM2Wk6MQ9WquwBkY7EAqd6jGp9f9+40vvl9WbeSVuNmV/iWn+5bZpIlEiUbNMkrPvgrma84aHQPYI24PAoDnbpTBv96Zov1f9P13qTP4kFN1A/bGJBm87lgS+sN7nE4aSLKJHR4nBuoP46w4PuEWj9XPJO4L8J806uEIcDJ3QP+Jt3gkbknShjx+EEirwTWMw37wT9zTDvZNQ4nBtD3gks5pJ3gsn5nHcyXhwOLkH3mK0Q8k4wKd/zTkaLw8El6B4z1HDfiZlA0IdrPYKjF5b/aagUmIvPu9afrR6Hox7QkqZC95izYu9EL1bxp5FAkKojCXlmSSzoWY+g6e7fM+/Etf48KhFPjTTzMa6M7gEh7yQ45J3AgrwTWJB3AgAIAHkncEDeCSzoHjNH3gl68TnvBJOje0DIO0EfPuedYHJ0DyicO8FFzPySMeoBhIK8E3TwPO8EXqF7zBl5J7dgznkn6ETeCSwGHB7F3on+CPsnFjjVm5bLSC3K3xP1Fip4YP/83HNMuNYrbatvtS0171pv8urHG3r9dYYH3SPQ+mGHB3knON+EeSfwDd0D5J0EhrwTWJB3AgvyTtBthnkn6I+8E1iQd4Ir8TnvBH6ie8wWeSfo4HveCbxE95gh8k7Qzdu8E/iG7jFn5J2gFz/zTuAJugeEvJPgkHcCC/JOYEHeCQAgAOSdwAF5J7Cge8wceSfohbwTWNA9IOSdoA/yTmBB94DCuRNchLwTAAp5J+hA3gn6o3vMGXknt4C8E1iQdwIL8k6oL5B3Qr0FeSfUW5B3Al+QdwKN7gHyTgJD3gksyDuBBXkn6EbeCSzIO4EFeSe4EvJO4IruMVvknaADeSc4A91jhsg7QTfyTtAT3WPOyDtBL+SdwILuASHvJDjkncCCvBNYkHcCAAgAeSdwQN4JLOgeM0feCXoh7wQWdA8IeSfog7wTWNA9oHDuBBch7wSAQt4JOpB3gv7oHnNG3sktIO8EFuSdwIK8E+oL5J1Qb0HeCfUW5J3AF+SdQKN7gLyTwJB3AgvyTmBB3gm6kXcCC/JOYEHeCa6EvBO4onvMFnkn6EDeCc5A95gh8k7QjbwT9ET3mDPyTtALeSewoHtAyDsJDnknsCDvBBbknQAAAkDeCRyQdwILusfMkXeCXsg7gQXdA0LeCfog7wQWdA8onDvBRcg7AaCQd4IO5J2gP7rHnJF3cgvIO4EFeSewIO+E+gJ5J9RbkHdCvQV5J/AFeSfQ6B4g7yQw5J3AgrwTWJB3gm7kncCCvBNYkHeCKyHvBK7oHrNF3gk6kHeCM9A9Zoi8E3Qj7wQ90T3mjLwT9ELeCSzoHhDyToJD3gksyDuBBXknAIAAkHcCB/PJO9lLtpbYfKCfFxHzGWjz6R4Mj0bzzTt52mzUA+6k62OeeSd7qQ7yxiaCuXUPheFRMdO8E3VV4t3dnRjzCtrMLe9EtYnOLc36XdzzNLfuwfBoM9NzJ29vb/orLnGbeSeZbHNRm571LVDMHcOjxazzTtRhLg522c0t72QvmcTysBS93bmXjK7R0813D4aHxUzzTh5fXtQs8vL67rr+s4fIOxlKqS9k1Zf0fxLUoQzyTobC8LDXzzfv5GmzaTtrcsgy9d8138/Z9eSdDFh/OhT+LCKyPveWrBkOj5l0D4YHeScNnjabx5cX84e+XEZZEnn7hv10e3kne8nkWeR+vtd6nm0O3YPhYTfHvBM1l6jH5oyS57vK+/fwzZN3MrZ9lqkNT/sB8UUm4t8IIe9kbAwP8k5KdAur7KOYo3kVNwxub5F3MiCzWSwyORoNQX+7llgk861ZtCHvZEAMD/JOmrVtGqu5xPM3fx1zzjtZZA2PVcvYS7YQYZA0mkn3YHjUzT3v5GmzeXl9z5IoTnfmLBLQP2Fs5J2ojc36MwwSizl0D4XhoTVMJ2YCQXLo/iNc6z2hL+tSZ+A3v3++S+Y4Avq4e/+i1pm3TCGX1Hulfky8ftgzoAOhV3bz3YPhYTHfvBN9pEvfG+/5G57WfPJO9EU7x7h6XYbZShgtpvl0D4aHBXkngSHvBBbkncCCvBMAQADIO4GD+eSd4Ax0j5mbb94JnMwz7wQ90T0gs807gZO55Z3ACd0DCudOcJHbzDsB4G7WeSfoY255J7gE3WPOZpp3cmPIO4EFeSewIO+E+gJ5J9RbkHdCvQV5J/DF7eWd4Gx0D8wx7yRo5J3AgrwTWJB3gm7kncCCvBNYkHeCK5lz3gnOQ/eYrbnnnaATeSc4A91jhhruOzETCPpwrUdw9MLyPw2VAnPxedd63Ay6x5zNN+8ETuaTd4Iz0D0g5J0Eh7wTWJB3AgvyTgAAASDvBA7IO4EF3WPmyDtBL+SdwILu4Q91XmqS80/knaAbeSewoHv4Q1/jkK6kvsrA2Gz3nQCdzPySPvscrvUAeoryLInkuEwXeXJcpiLJlZf8J+8EHcg7QX90j2kdl6n+en3kndwC8k5gQd7JfGzTRKJEomSbJsmh1/8y4PAoDnat8lgdsuyfWOBUb1LL8ed5360R6i1UAoH5YNh6pXN54AvrTV79eEOvv87woHtMXr+PliLpIkpkJSKSHOS4S0VkESWqoPHM/LDDg7wTnI+8E2h0jwnto6V6cNylav5Qc4n5zBWQdxIY8k5gQd7JPKnpZBElehYxv1XTySqOyTtBN/JOYEHeyc1b7/LTDsou+fG3iPFT7dw1Ie8EV0LeCVzRPSax3uWrOBYp7eHZT5wMjrwTdCDvBGege0wjSr9GySqO99EyOZyOcV3tfkbyTtCNvBP0RPeYkD4hr+jzKFebock7QS/kncCC7uGD9S6Xj8nDfHw15J0EhrwTWJB3Aouxh8fir7/+GvUvAADMAfFZAIABMJ0AAAbAdAIAGADTCQBgAAvZHUf9C7h0Z1j7+h1J1Tthu1jr/1u+NINLd8LChX+wGLt7VO+Kb4ygsKTmudZjYLFIJj/+Lb9+H6e+rJ66al9O3LUeQaN7BGbo7lFMJ5Yso8YcVtd6DEn15Kzp09XtOrugvqYtvls9X58kXOuvSd1Dx71yA6J7hGS07nE6d2L5dNXyGJUC13oMKZZtLttcfvxbRKqf7o+/S6+eU1/TNje0FbjWX5O+HztdydXWMrptdI+QjNk9uk/F61X8en7GrvU4z0NLcuef/8i3Tw2vutbfpCjPkkgeklR9ZZ2osdE9/DRS9/hF+n1y5hJ+rvUYWCbfPtmOYP76vbyr4VpvZeawpj3ySV3rx3ZcpvorLkf3CMyY3eMX/elaPkKdsnf8Q1zrMYZfv7cewVSfvZR3S13rK8xTHUlU5HsnUUPBGfXXtE0TiRKJkm2aJPPYJ1vf36sEvcHr6R4hGq97FKfiO6NYK1zrTctlJCJ53ndjlfoG5hV7ximA1lnBtb5slcfqhIeeG8yXLq83jfTj3UdLkXQRJbISEUkOYkafSvvyq1583OfWr+/v1dXD+sGw9QrdI7D6cbpHx7kTncbac/fTtR7ny2SrDv1XemBbr3atr1nl8SqPd8v426fiGUnkkGXqvwvrR6WjII67NDkUc4kYsRAYFt3DX+N0j8XxeBTrdoH5kt4P7V//+PJi+1fBUcONSKZYtrl8++RwIXmlvs9tjCryaLdsSHlr3MB3rR+Dmk4WUWJOHvpbtYNyA9cNN+5PqCNX/Xc1LPWV2xh/++03oXuEY+zucTrYpT/aynaB3l6ovORajyvJ5Jt50qzzltd6fQ+Nyd4D1o9hvctPOyi75MffIsa70ge7bpXrrfKu9XSPG3Fx9/jX4j/y9vmn/hQtmwyi0vTe3eq5FHNE+vYiQ2nLojIa+tT/T/df++1T8wzRtnXvWj+S9S5fxdVfkc4TJ7CgewRshO7xLxG5e//yJqeP0PyA2zYQXOsxili2uYiUNxAGrO+ij1z1bMSu9WOJ0q9RsorjfbRMDqdjXNzPeDa6R5DG6R6nU/E6xPunway7e/9iBn271mMw5VbcdnvRVm/XudZ3USdCRKTnPYCu9aPSJ+QVfR6FXZNL0D2CMXL3aFhR+O1z8dH2+VDt9awJOizzZFrjsgeWw5196ttOxeu1SURkt4yjPFNf1TP19a9c6zGIyVcUpnv4bOzuwQL1gem4NkOcVwuu1LNAfdAmn06GRfcY1tjdg/is8JW38rtHg2s9gFs1aPcg7yRw5J3AG3SPwJB3AhHyTuAXukdIyDtBgbwT+ITuERLyTlBH3gn8R/fwE3kn+EDeCbxB9wgMeSeoIO8E/ZF3AhN5J9TXkHdCfQ/knVDfgLwTlJB3Ar/RPfxF3gmEvBNYkXcCC/JO4IK8E9SQd4JeyDuZNfJOMCm6R8DIO0GBvBN4gO4RJPJOIELeCbxD9wgGeScwkXcCi8kXqKd7+Iy8E5SQdwKLyaeTYdE9hkXeCbqQdwLgPOSdXOhps7Ffz95Z4BHyTkb2tNnox8GMionMoXvcFPJOBqF6xOvjXeX535/epng77sg7uQpzLpGwtjOua1bdI3jknQyo0hH0EiBtBd4h7+SKXh/vvry/fnl/rW98QJlV91D0KkGVrwEsHUTeyeAeX15eH+/yvSQfl76px6+Pd3d3YXQN8k6u4yFJKw/Q3012Dz1n1GcU84HPyDsZ3nJd3AxhPvYdeSdXoY50bdNEfaseVA5/YW7dw5wtVnGsros9lm/O9XpGIe9kDLtlw+F7tbPi9WgQEfJOruLx5eXx5SU5yDZNtmmSHE7PTP2+nJF3MgY1f6yNr6HcSjVe9zitKNymZwKBpb5xXHqx4r9IlGf6xMmf/xQHvqRrZEz4/osrxzsXaKvoV2+578TML1HU9NA2N7jWa54MD2nZsOjsGlMOj9p9J8PmnTSuKNzmVrvHIcssY8D+6hjvp3/92N1jpnkne8n20VJEvn6XP/+Rr99PJ+SPu/QYi9SOh/qIvJORtb1D/9+5J261e9hnizD2Ucg7GcpeMolSMQ6LK8lBjrtURGSXLD46hm+Dg7yT63jabNRFGW9vb/rqjHQlD0m6TZPGI6U+IO/kmgIazwp5JyOITnPGQ5IuomJGOe5S2SUSpRKlkiXi/eBoQN7JEPT5dnMuEZGHpWzT5GEpQV1SQN7J8Ox7ruH1DYW8k/OoWeQoyWl3RFE7JVn5SZ+RdzIOtVF83KULYy45Gm92L9m6/1HC2zXP7lG5uEtPIea1wt6O7QJ5J0M57tL1Lt/mmZSPd6mjGfpbr4cFeScjW+9y89tFdrqUfJs3XxY4TzPsHm0DOJSBLULeCRTyTq6lfkAjOUhyYC6pmnn3WMVxMBMJeSfjOZ2T3yWLTI6x6Mcm3wYKeSewmHyB+vl0jxCRdzIKdZWwtt7llWfUyRUPWx55J7CYfDoZlp/dI1xjd4/qAvUzUTksXn/Gw4mkVXkboVdigVM9gFs1aPeYY97JTSHvBN6gewSGvBOIkHcCv9A9QkLeCQrkncAndI+QkHeCOvJO4D+6h5/IO8EH8k7gDbpHYMg7QQV5J+iPvBOYxusexan4zgU+K1zrTZMnFtxCvXnFXp9L/Vzry1Z5bOaXmPsZjXODa73Jix/vrdQPm3fShu4RWP043WOmeSe3gLwT+I3u4S/yTiDkncCKvBNYkHcCF+SdoIa8E/RC3smskXeCSdE9AkbeCQrkncADdI8gkXcCEfJO4B26RzDIO4GJvBNYTL5APd3DZ+SdoIS8E1hMPp0Mi+4xrLG7R/eaXfBdeSu/V2KBUz2AWzVo9yDvJHDkncAbdI/AkHcCEfJO4Be6R0jIO0GBvBP4hO4REvJOUEfeCfxH9/ATeSf4QN4JvEH3CAx5J6gg7wT9kXcCE3kn1NeQd0J9D+SdUN+AvBOUkHcCv9E9/EXeCYS8E1iRdwIL8k7ggrwT1JB3gl7IO5k18k4wKbpHwMg7QYG8E3iA7hEk8k4gQt4JvEP3CAZ5JzCRdwKLyReop3v4jLwTlJB3AovJp5Nh0T2GRd4JupB3AuA85J2gQN4JvEH3CAx5JxAh7wR+oXuEhLwTFMg7gU/oHiEh7wR15J3Af3QPP5F3gg/kncAbdI/AkHeCCvJO0B95JzCRd0J9DXkn1PdA3gn1Dcg7QQl5J/Ab3cNf5J1AyDuBFXknsCDvBC7IO0ENeSfohbyTWSPvBJOiewSMvBMUyDuBB+geQSLvBCLkncA7dI9gkHcCE3knsJh8gXq6h8/IO0EJeSewmHw6GRbdY1jknaALeScAzkPeCQrkncAbdI/AkHcyB+ocg+0EA3kn8Andwx8Tdg/yTryjz1enK2leiYS8E/iE7uGPabsHeSd+ifIsieQhSdVXy8W15J3Af3SPa5q8e5B34p3jMtVfm5F3Am/QPbwybfcg78Q72zSRKJEo2aZJ0rJRQN4J+iPvZD6m7R7knXhUv4+WIukiSmQlIpIc5LhLRWQRJaqgdG6NvBPqeyDvZCb1PnQP8k58sY+W6sFxlyaHYjSoZxr+B/JO4De6x9V40j3IO/GFGhCLKDE/fv2t2sRYxTF5J7Ag72SePOke5J34Yr3LT5sYu+TH3yJGTIjeXe1G3glqyDu5eZ50D/JOPLLe5au4+hk2H/pUyDvBpOge/vChe5B34p8o/RolqzjeR8vkcNpLbTjTQN4JPED38Muk3YO8E7/oU2qKPhJatGDyTuAZuocnJu8e5J0EhrwTWEy+QD3dw2fknaCEvBNYTD6dDIvuMSzyTtCFvBMA5yHvBAXyTuANukdgyDuBCHkn8AvdIyTknaBA3gl8QvcICXknqCPvBP6je/iJvBN8IO8E3qB7BIa8E1SQd4L+yDuBibwT6mvIO6G+B/JOqG9A3glKyDuB3+ge/iLvBNJ5Xyt5J/NG3gksyDuBC/JOUEPeCXoh72TWyDvBpOgeASPvBAXyTuABukeQyDuBCHkn8A7dIxjkncBE3gksJl+gnu7hM/JOUELeCSwmn06GRfcYFnkn6ELeCYDzkHeCAnkn8AbdIzDknQzlabNRD4K8VYq8k5GFPTyubm7dI2zknQxLXbR6d3cnRuMIBnknIwt7eFzd3LpH2Mg7Gdzb25v+GijyTsZzA8PDEzfZPSontPfPz/vnbC+Zvg6i84z35Mg7GZ46jhHe0QzyTq4i1OFxXXPrHvssW8exnjD2z88iC1mIPB/lfrF/ft5n2UKO/s4oY3aP0xKQYizQVtf4Us96p6CF61OLOYvL+s/Tah6mxgXg+qO1nV5rr2+7UNg8PKWSS+z5Ja71fgpveEyxBKTMpnvouaT4evopLeRe5Pkoi4V6aSHHoyzWnt1cNXb3KKaTRj0TCCz1jQPChxX/1THxl9d39a1Z3LkcyITvvxgQnQu0VfSrt9x3YuaXKGp6aJsbXOs1hsfZ9fU5YNi8k7bppNFNdg81i5iPixllIXI8zShXez9O9WN3j5nmnTxtNo8vL7pZiMhyGQWWwEHeyWhuYXh44Fa7xz7LVF9ex/EhO8249yLrONZ7J/p5T5F3MhTVLNRjfTRDRPJ8V2kZHi4EQt7J2MIeHuSdjM/8HVxIcXQnPi6eF6J2TdTxrlXs3cE628vknZxBj1HVOHTLMJvFKm7ofQEg7+Ritzc8yDsZijq6ZR7LOmaLhRyPx8ViccwWxzy+1zUr8Wsu6UbeySXatn1Us/Bw27OKvJMxBT88xje37qHPwJvPrOR+fR8fj4v1fayeme4NuiDvZHBPm83L63uWRHG6M9tEAM2CvJPxBTw8rmVu3aNttlBzSTDG6R6ng11371/UStGWQVD51qneQ/pu5yyJVnG8+f3zXRLCJmd5D/Th0HzLyHb1cW+Ra30XM78k6fG/uNZ7ItThMYUZdo9Qjdw9yDsJbHUm8k6uLLDhMfUC9XPrHmEh7wQl5J3AYvLpZFh0j2GRd4Iu5J0AOA95JyiQdwJv0D0CQ94JRMg7gV/oHiEh7wQF8k7gE7pHSMg7QR15J/Af3cNP5J3gA3kn8AbdIzBjdo9f9Kdr+Qj12m3HP8S1HmP49XvrEUz12Ut5t9S1vsI81aGSS0Rs+SWu9RjV+v7eKTikfz3dI0TjdY/iVHznAp8VrvUmHwItgq837yEyzkS0zgqu9WWrPDbzS8z9jMa5wbXe5MWP91bqh807aUP3CKx+nO4x07yTW0DeCfxG9/AXeScQ8k5gRd4JLMg7gQvyTlBD3gl6Ie9k1sg7waToHgEj7wQF8k7gAbpHkMbpHqdT8Xpp6J8Gs+7u/Yu5fLRrPQZTbsVttxdt9Xada30XM79kjHoEh+4RjJG7B3kngSHvBBaTL1BP9/AZeScoIe8EFpNPJ8OiewyLvBN0Ie8EwHnIO0GBvBN4g+4RGPJOIELeCfxC9wgJeScokHcCn9A9QkLeCerIO4H/6B5+Iu8EH8g7gTfoHoEh7wQV5J2gP/JOYCLvhPoa8k6o74G8E+obkHeCEvJO4De6h7/IO4GQdwIr8k5gQd4JXJB3ghryTtALeSezRt4JJkX3CBh5JyiQdwIP0D2CRN4JRMg7gXfoHsEg7wQm8k5gMfkC9XQPn5F3ghLyTmAx+XQyLLrHsMbuHou/yu0DAIAzEJ8FABgA0wkAYABMJwCAATCdAAAGwJVdgbnypTtc2RWWhkt3OpfKcKnnwr+gjT08/lX5vjFjwBLd7FqPoNVDee2rzbvWY2BxU773gPVlDI/ADD08iunEElZz/KNhhnCtR9Da0t3V8/Uu4FqPIenlleq//Eb20fn1NQyPkIw2PE7nTixzg1r/oFLgWo+gtf3ytxW41mNIsWxz2ebNtzH/+Lv06jn1NQyPkIw5PLpPxetl2nrOEK71AAbXtrzSn//It08Nr7rWI2gjDY9fpF/fN9doc63HLTFjetMeeaOu9bjUR4J32wHuX7+XdzVc660YHr4bc3j8oucGywSgY9SOf4hrPa5gfX+vEvRGqjePZSdREf+eRA0FZ9RjWL9+bz3ArVqDlI9auNZXMDzCMt7wKA52tUXZ6LmhwrXetFxGy2Vkr6G+Z/H6/n7//Lx/fu45Q7jWK/o3XP/y11+6pN7k1Y831HrzZ2yciVCtoWFucK0vY3gEVj/O8Og4d6LjNnsevHKtR0BWebzK490y/vapeEYSOWSZ+u/Cegwp+0ihqDTntl7tWl/D8AjJOMNjcTwe5aP7W7I29SRhzhZ96h9fXmz/KjhqvI1R7Wf0v8PRUt/nNkaViLVbxg09oinFxLUeZ+tYgTyWbS7fPjncZ1Cp73MbI8PDW2MPj9N9J3piqOxV6L2Nykuu9RiV663yF95a3xj8PmA9xpKVw1k774iu1/fA8AjVxcPjX4v/yNvn4myHZYdDVFzau1s9ia6359un5hbQti3pWo9h6LvPDKUNz0qz6FP/P91/LcMjDCMMj3+JyN37lzc5TQDm9NC2e+Faj5ukD030/LV3rcdFYtnmIlLefhywvgvDw2vjDI/TqXid0vzTYNbdvX8xk5xd63Ez1JFuEUn77Xi61uMi5VbcdvfZVn8WrvVdGB5eG3l4NKwo/Pa5mBj6TAn2elYUHtZUKwpHebGXu1vGUZ6pr+qZ5FDdqHStxyDMc62Nq2JYjob3qW87Fc/wCMLYw4MF6gPDAvWw6Lh0R5xXC67Us0B90MYeHsRnATetvJXf3Sxc6xG0QYcHeSdwQKBFYMg7gQV5J5gEgRYhIe8EFuSdYEIEWoSEvBNYkHcCwAl5J7Ag7wReINDCd+SdwIK8E9iRdwITeSewIO+E+lbknVDfgLwT6i3IO8G0CLQICXknsCDvBELeCazIO4EFeSfoRt4JeiHvBBbkneD6CLQIA3knsCDvBP4g0MJr5J3AgrwT+IBAC6+RdwIL8k5gIu8EFuSdwIK8E5SQdwIL8k5gQd4JgAuQdwIL8k4u9LTZ2O+G6SyYLQItAkPeycieNhv9OLymQd7JINQgeH28qzz/+9PbFG8nAHMOtFDH9O0H9HVb8aKnkHdyFeZcIgFthpJ3MqDKR67XeGgrwJwDLfT54XQlbSt/qEPSX+7upNZiJkDeyRW9Pt59eX/98v5a3zb1FHkng3t8eXl9vMv3knxc+qYevz7e3d0FMiwwvijPkkgeklR9bbuY9efbm/7qCfJOruMhSSsPgkDeyfCW6+Jqd/MxLOYWaHFcpvpr3f652I5WO7XT79qSd3IVajd0mybqW/Vg+n3TTmMOj9MSkGIs71jX+FLPeqdV0K9MHccw13jQOyveXvY+1RKQ5vEHFU1hD6hwrfeTGiFq42u7ajh9csgy8xm9MHieT9Mam68ENe4P0L/5trOv7fVtFwrPc3iIyCHL1GZoEPfKjD08ilPxncsDV7jWm9RvXf9fufHq1YkTNaMkvffo/Xn/8pFfYj4Ytl5Z5bFqAf0DLZzqTZ78ePfRUiRdRIl89IvjLhWRRXTaIDXbh9osfXl9r/85ncuHjPL+zVvMygEVw9SXzXB4yMcnq/uG+rZzUvHi/Y8zPGaad7KXbB8tReTrd/nzH/n6/TSvHHfpMRb5GBmELphmFWihhoeIHHdpcijmEvWMLlvF8SHL1CU95lyyXEYT/wPJOxlZ2zv0/52LkHcynL1kEqViHPdUipaxSxYfQ8K3HVjyTq5DTSeLKDEnD/2t2kFRb968PNRMwcvzXeXfe4V/LHkn1/G02ahrdt7e3vTFO+lKHpJ0mya7padvm7yTEUSnOeMhSfWBC1FbnbtEolSiVLKiX/iPvJPBrXf5aQdll/z4W8T4V5hjRkTu7u7MeUXPKGZzVDsxV3jbHcg7GYI+327OJSLysJRtmjwsJahLCgzknZxHdYSjlLY9TzslWflJ1Mwk0GK9y1dx9VeqfuJETRWrOG7bEdcFo77bBuSdjEN90MddujDmkqPxZveSrfsfJZwKeSdDOe7S9S7f5pmUj3ep3VX97TRdIBBzCbSI0q9RsorjfbRMDqd91rZdjafN5uX1PUuiON2Zs8gkcwl5J6Na73Lz20V2utNgm4u3B7sK5J3AB7MKtNAn5BW921pveU+bjToGkiXRKo43v3+eco/kA3kn46lvUqhLNryeS8g7Gc/pnPwuWWRyjEU/Nvm2rUTeieemXbyLvBNYkHcyispWZ3He9YN56Y5XyDuBBXknsBh7eFQXqJ+JynHP+jMeTiTAOWLH2xJd6xG0QYdHdTqZQ94JzjbDQIuwkXcCC/JOMIl5BlqEirwTWJB3ggnNOdAiPOSdwIK8EwBOyDuBBXkn8MJ8Ai1CRd4JLMYcHr/oucEyAeiVH49/iGs9rmB9f++UK+Nabx7LVtEUIraACtd6DOvX760HuFVrkPJRC9f6CoZHWMYbHsXBrrbVt9pislzrTctlZK692ol6CxVbsn9+7jlDuNYr+je8f6CFU73Jqx9vqPXmz7h8ZWe1O5xXX8bwCKx+nOEx07wTnGFugRZhI+8EFuSdQMg7gRV5J7Ag7wTdyDtBL+SdwIK8E1zfzQda3AjyTmBB3gn8cfOBFmEj7wQW5J3AB/MJtAgSeSewIO8EJvJOYEHeCSzIO0EJeSewIO8EFmMPj+41uwAErLyV3yvQwqkeQRt0eJB3AgcEWgSGvBNYkHcyB+ogsldHkAm0CAl5J7Ag72Q+9AnJdCWeLDVBoEVIyDuBBXkn8xHlWRLJQ5Kqr1w9ifOQdwIL8k7m4rhM9VcPEWjhO/JOYEHeyaxs00SiRKJkmyZJv61C8k5gIu8EFuMNj+JUfOfywBWu9Sa1HH+e990amUn9PlqKpIsokZWISHKQ4y4VkUWUqILGM/Mqv8R8YOdaf/qr81gd0e4faOFUb/Lk4wi73rzFrBxQMUx9GcMjsPpxhgd5J77YR0v14LhLk0Mxl6hnpntfBQItQkLeCSzIO7ltajpZRIk5eehv1Q7KKo7JO4EFeSewIO9kLta7/LSDskt+/C1i5EDog11tyDtBL+SdwIK8k1uy3uWruPoZ2k+cTIJAizCQdwIL8k5mIUq/RskqjvfRMjmcjnF5eCiZQAuvkXcCC/JO5kCfkFf0eRR/fscItPAaeSewIO8EJvJOYEHeCSzIO0EJeSewIO8EFuSdALgAeSewIO8EUyHQIjDkncCCvBNMgkCLkJB34rHp04zIO8GECLQICXknHps+zYi8EwBOyDvxkD9pRuSdwAsEWviOvBOPTZ9mRN4J7Mg7gYm8E2+dkWY0OPJOqG9F3gn1Dcg78az+vDSjsd4PeSeYFoEWISHvxCfepRmRdwJpuSuevBMo5J34qWea0ehvg7wTdCLvBL2QdzKRS9KMroe8E1wfgRZhIO/EJ96lGZF3An8QaOE18k785EmaEXkn8AGBFl4j78Rj06cZkXcCE3knsCDvBBbknaCEvBNYkHcCC/JOAFyAvBNYkHeCqRBoERjyTmBB3gkmQaBFSMg7gQV5J5gQgRYhIe8EFuSdAHBC3gksyDuBFwi08B15J7Ag7wR25J3ARN4JLMYbHsXBrrbVt/TcUOFab1ouI7Uof0/UW6jYkv3zc88ZwrVe0b/h/QMtnOpNXv14Q603f8blgIpqdzivvozhEVj9OMODvBP0RaBFSMg7gQV5JxDyTmBF3gksyDtBN/JO0At5J7Ag7wTXR6BFGMg7gQV5J/AHgRZeI+8EFuSdwAcEWniNvBNYkHcCE3knsCDvBBbknaCEvBNYkHcCC/JOAFyAvBNYkHeCqRBoERjyTmBB3gkmQaBFSMg7gQV5J5gQgRYhIe8EFuSdAHBC3gksyDuBFwi08B15J7Ag7wR25J3ARN4JLMg7ob4VeSfUNyDvhHoL8k4wLQItQkLeCSzIO4GQdwIr8k5gQd4JupF3gl7IO4EFeSe4PgItwkDeCSzIO4E/CLTwGnknsCDvBD4g0MJr5J3AgrwTmMg7gQV5J7Ag7wQl5J3AgrwTWJB3AuAC5J3AgrwTTIVAi8CQdwIL8k6G8rTZqAfcaNkHgRYhIe8EFuSdDEtdlXh3dyfGvII2BFqEhLwTWJB3Mri3tzf9FaionLHcPz/vn7O9ZPo6iM5TmpMj72Q8DI+2+lnnnajDXBzscnLzgRb7LFvHse4I++dnkYUsRJ6Pcr/YPz/vs2whR39bBnknY2J4WOpnmnfy+PKiZpGX13fX9Z89RN7JUHSzMFuGyFGOIvcLeT7KYrGO46MsfG4Z5J2MhOFhrz+tKNzGsnJwz/rGtqXad5733RoZo16dMnl5fVffmsWd6z1M+P7r952o/BLzgZ293nLfiTqibW5Cqt//tl9+13pt2uGhmoX5+OOntJCFyPHUMvx8/0UL61y/r6JfveW+E4YHw2OmeSdPm83jy4ueS0RkuYyIWLCbT6DFPsvUL946jg/Zaca9F1nHsWoW+yzTz3uKvJPRMDza6ueYd6LmEvXYPMyV57vKIPZwpQfyTq7APEyxkGL3PT4unheitj3VIfJV7NeiD+SdXAHDo61+jnknei5R84qeUczRvIobBre3yDsZijp8YR6sOGaLhRyPx8ViccwWxzy+1zUr8atZdCPv5DIMD3v9rPNO2vac1Fzi55aRD2440EKfaDWfWcn9+j4+Hhfr+1g9M90bdEHeydAYHuSd2DxtNi+v71kSxenOnEU8HMq+udVAi7Z2oJpFMMg7GQfDg7yTBk+bjbq4K0uiVRxvfv/MHkkfBFp4jbwTWJB3MrawFu8i7wQW5J3AgrwTlJB3AgvyTmBB3gmAC5B3AgvyTjAVAi0CQ94JLMg7wSQItAgJeSewIO8EEyLQIiTkncCCvBMATsg7gQV5J/DCzQdaBI+8E1iQdwI78k5gIu8EFuMNj+JgV9vqW3puqHCtN7kmVlFvoWJL9s/PPWcI13pF/4brX/76S5fUm7z68YZab/6MjTMRqjU0zA2u9WUMj8DqxxkeM807wRnmE2hxC8g7gQV5JxDyTmBF3gksyDtBN/JO0At5J7Ag7wTXd8OBFjeFvBNYkHcCf9xqoMWNIO8EFuSdwAcEWniNvBNYkHcCE3knsCDvBBbknaCEvBNYkHcCC/JOAFyAvBNYkHeCqRBoERjyTmBB3gkmQaBFSMg7gQV5J5gQgRYhIe8EFuSdAHBC3gksyDuBFwi08B15J7Ag7wR25J3ARN4JLMg7ob4VeSfUNyDvhHoL8k4wLQItQkLeCSzIO4GQdwIr8k5gQd4JupF3gl7IO4EFeSe4PgItwkDeCSzIO4E/CLTwGnknsCDvBD4g0MJr5J3AgrwTmMg7gQV5J7Ag7wQl5J3AgrwTWIw9PP4/rYA4RfmPwYAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=538x719 at 0x7FBF29300550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "des_file = \"\"\"\n",
    "MAZE: \"mylevel\", ' '\n",
    "FLAGS:premapped\n",
    "GEOMETRY:center,center\n",
    "MAP\n",
    "...........\n",
    "...........\n",
    "...........\n",
    "...........\n",
    "...........\n",
    "...........\n",
    "...........\n",
    "...........\n",
    "...........\n",
    "...........\n",
    "...........\n",
    "ENDMAP\n",
    "REGION: (0,0,20,20), lit, \"ordinary\"\n",
    "\n",
    "$left = selection: fillrect (0,0,1,10)\n",
    "$right = selection: fillrect (9,0,10,10)\n",
    "\n",
    "IF [50%] {\n",
    "    TERRAIN: $left, 'T'\n",
    "} ELSE {\n",
    "    TERRAIN: $left, 'C'\n",
    "}\n",
    "\n",
    "$roll = 2d6\n",
    "IF [$roll < 7] {\n",
    "    TERRAIN: $right, 'I'\n",
    "} ELSE {\n",
    "    TERRAIN: $right, 'L'\n",
    "}\n",
    "\n",
    "$mon_names = monster: { \"Archon\", \"arch-lich\", \"vampire lord\", \"minotaur\"}\n",
    "SHUFFLE: $mon_names\n",
    "MONSTER: $mon_names[0], (5,2), hostile\n",
    "\n",
    "$mon_names_new = monster: { \"Lich\", \"grid bug\", \"hell hound\", \"red mold\"}\n",
    "$mon_index = 1d4\n",
    "MONSTER: $mon_names_new[$mon_index], (5,8), hostile\n",
    "\"\"\"\n",
    "render_des_file(des_file, n_images=12)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27777931-bd74-4632-87c2-950d4deb44f9",
   "metadata": {},
   "source": [
    "## Wrapping up\n",
    "\n",
    "That brings us to the end of our tutorial. There are more features of NetHack to explore, and we recommend using the NetHack wiki as a useful source of information. Be sure to use MiniHack and the des-file format to create lots of interesting reinforcement learning environments."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}