{ "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": [ "" ] }, "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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"text/plain": [ "" ] }, "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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"text/plain": [ "" ] }, "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": [ "" ] }, "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": [ "" ] }, "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": [ "" ] }, "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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"text/plain": [ "" ] }, "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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"text/plain": [ "" ] }, "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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"text/plain": [ "" ] }, "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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"text/plain": [ "" ] }, "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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"text/plain": [ "" ] }, "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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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Room placed with align: center , center\n" ] }, { "data": { "image/png": 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"text/plain": [ "" ] }, "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": [ "" ] }, "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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"text/plain": [ "" ] }, "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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"text/plain": [ "" ] }, "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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"text/plain": [ "" ] }, "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": [ "" ] }, "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": 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"text/plain": [ "" ] }, "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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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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\n", 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\n", 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\n", 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\n", "text/plain": [ "" ] }, "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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Blod3fytoefj1+ewIOvJd7ZqTmukTX6Dl4d0nUKDlAe4ry5H0zMOjtVU//Sp/lZrJpZvG0Ld9G7Q8vPuroOXh3bdBy8O7vwpaHq79eTmS3jwb+nlOx9N8BHMo7q7Rt/16ZFrGO87485Ch9+/0V3wVtDy8+/Wg5eHdV0HLw7tfD1oe3v0P+47EW2jpmjEObGla9G1fuPmI6jhFdat/+qpvnMCOlod3X2DezXzm3cwXmHczX98GTXbSzU5hXtozjb7t3xy0IEvISn5b33i/FtDy8O4zb+b9wD7zbuZbj7Jm0wrJsUP0N/nTdFJrFsZxXLqcFV+K0xKHvu3XgJOHd595M+8H9pl3M/+TKqnnLxvQvxNZS2Zj67pOfYm+7dug5eHdXwUtD+++DVoe3v1V0PLw6+vLka+f9ZktXc6ib/sGTz/C25dRpiK/pMgUXy5duNC3/GyfKBW0PLz7Bsx7X595t/cNmPe+vr4cicjFq8o50b+Nl0v3FuaRpANb+jxE3/YrQcvDu78EWh7e/UrQ8vDuL4GWh2tfeZRVnvQJIQznENYGRv+eoGWb4fTk5ZLyLGb6qr965ClaHt59G+a9r8+8G/s2zHtf/7oc6afrgzyn50M/vcaf8S/DOR8bfduvpDyiOp1cOdcS+ilL79doeXj3K2HezNujXwnz3tfXv+hLmlEGTe5h9eMjaQnz3hfmDQXz3heeWUMIIYSQX0z+KGt5tqG9aR39mzcYVlH3gS7Pa6Zf6Weg5eHd3wpaHt79DLQ8vPtbQcvDnX+9WWMfslyOjb7tVyKX++yjhsoZ01f9pavZaHl491PiPXj1Bjzz3tdn3m38Spj3vv58s8aeVinQt/2tGNOKX4jKBPq2n4GWh3c/RZ4HPH5b3NcSLQ/vfgZaHt79raDl4dfnsyPoyHe1a05qpk9a0k+vQx/+Phzjz+O3zf8GtDy8+wQKtDzAfWU5kp55eLS26qdf5a9SM7l00xj6tm+Dlod3//35KD91ASwP774NWh7e/VXQ8nDtz8uR9ObZ0M9zOp7mI5hDcXeNvu3XI9My3nHGn4cMvX+nv+KroOXh3U/58ziEfgj98OdxiPtKpaDl4d1XQcvDu18PWh7e/Q/7jsRbaOmaMQ5saVr0bV+4+YjqOEV1q3/6qm+cwI6Wh3f/r/45hPDUD/EezXAO76dj/EsUvh0OzHtfn3k38wW+ezfz9W3QZCfd7BTmpT3T6Nv+zUELsoSs5Lf1jfdrAS0Pj35ci0Ti+iOuRdK/rC5HBNic0Hzm3d7nu3cz33qUNZtWCItPztO3/Wk6qTUL4zguXc6KL8VpiUPf9mvAycOvLwuR7LpIBloe3v0aEPJ4DJ/v3s38T6qknr9sQP9OZC2Zja3rOvUl+rZvg5aHR/+P0zRfIDkN//zXh3+qXJSg5eHdt0HI45H8VdDy8Ovry5Gvn/WZLV3Oom/7Bk8/wtuXUaYiv6TIFF8uXbjQt/xsnygVtDyc+n+cpm+HQwgfPlOmD44E5s28/fsGzHtfX1+OROTiVeWc6N/Gy6V7C/NI0oEtfR6ib/uVoOXh1e+Pf+uHb4fDX/3zcJ4fGUmve6Pl4d2vBCWPR/GXQMvDta88yipP+oQQ4jf37IHRvydo2WY4PXm5pDyLmb7qrx55ipaHa1++XBOXI/K7CMx7X595N/ZtmPe+/nU5Ips9hxBOz4d+eo0/41/KAyno234l5RHV6eTKuZbQT1l6v0bLw7tfCfNm3h79Spj3vr7+RV/SjDJocg+rHx9JS5j3vjBvKJj3vvDMGkIIIYT8YvJHWcuzDe1N6+jfvMGwiroPdHleM/1KPwMtD+/+VtDy8O5noOXh3d8KWh7u/OvNGvuQ5XJs9G2/ErncZx81VM6YvuovXc1Gy8O7Xwnz3tdn3m38Spj3vv58s8aeVinQt/2tGNOKX4jKBPq2n4GWh3d/K2h5ePcz0PLw7m8FLQ+/Pp8dQUe+q11zUjN94gu0PLz7BAq0PMB9ZTmSnnl4tLbqp1/lr1IzuXTTGPq2b4OWh3d/FbQ8vPs2aHl491dBy8O1Py9H0ptnQz/P6Xiaj2AOxd01+rZfj0zLeMcZfx4y9P6d/oqvgpaHd78etDy8+ypoeXj360HLw7v/Yd+ReAstXTPGgS1Ni77tCzcfUR2nqG71T1/1jRPY0fLw7gvMu5nPvJv5AvNu5uvboMlOutkpzEt7ptG3/ZuDFmQJWclv6xvv1wJaHt595s28H9hn3s1861HWbFohOXaI/iZ/mk5qzcI4jkuXs+JLcVri0Lf9GnDy8O4zb+b9wD7zbuZ/UiX1/GUD+ncia8lsbF3XqS/Rt30btDy8+6ug5eHdt0HLw7u/Cloefn19OfL1sz6zpctZ9G3f4OlHePsyylTklxSZ4sulCxf6lp/tE6WClod334B57+sz7/a+AfPe19eXIxG5eFU5J/q38XLp3sI8knRgS5+H6Nt+JWh5ePeXQMvDu18JWh7e/SXQ8nDtK4+yypM+IYThHMLawOjfE7RsM5yevFxSnsVMX/VXjzxFy8O7b8O89/WZd2Pfhnnv61+XI/10fZDn9Hzop9f4M/5lOOdjo2/7lZRHVKeTK+daQj9l6f0aLQ/vfiXMm3l79Cth3vv6+hd9STPKoMk9rH58JC1h3vvCvKFg3vvCM2sIIYQQ8ovJH2Utzza0N62jf/MGwyrqPtDlec30K/0MtDy8+1tBy8O7n4GWh3d/K2h5uPOvN2vsQ5bLsdG3/Urkcp991FA5Y/qqv3Q1Gy0P734lzHtfn3m38Sth3vv6880ae1qlQN/2t2JMK34hKhPo234GWh7e/a2g5eHdz0DLw7u/FbQ8/Pp8dgQd+a52zUnN9Ikv0PLw7hMo0PIA95XlSHrm4dHaqp9+lb9KzeTSTWPo274NWh7e/VXQ8vDu26Dl4d1fBS0P1/68HElvng39PKfjaT6CORR31+jbfj0yLeMdZ/x5yND7d/orvgpaHt79etDy8O6roOXh3a8HLQ/v/od9R+IttHTNGAe2NC36ti/cfER1nKK61T991TdOYEfLw7svMO9mPvNu5gvMu5mvb4MmO+lmpzAv7ZlG3/ZvDlqQJWQlv61vvF8LaHl495k3835gn3k3861HWbNpheTYIfqb/Gk6qTUL4zguXc6KL8VpiUPf9mvAycO7z7yZ9wP7zLuZ/0mV1POXDejfiawls7F1Xae+RN/2bdDy8O6vgpaHd98GLQ/v/ipoefj19eXI18/6zJYuZ9G3fYOnH+HtyyhTkV9SZIovly5c6Ft+tk+UCloe3n0D5r2vz7zb+wbMe19fX45E5OJV5Zzo38bLpXsL80jSgS19HqJv+5Wg5eHdXwItD+9+JWh5ePeXQMvDta88yipP+oQQhnMIawOjf0/Qss1wevJySXkWM33VXz3yFC0P774N897XZ96NfRvmva9/XY700/VBntPzoZ9e48/4l+Gcj42+7VdSHlGdTq6cawn9lKX3a7Q8vPuVMG/m7dGvhHnv6+tf9CXNKIMm97D68ZG0hHnvC/OGgnnvC8+sIYQQQsgvJn+UtTzb0N60jv7NGwyrqPtAl+c106/0M9Dy8O5vBS0P734GWh7e/a2g5eHOv96ssQ9ZLsdG3/Yrkct99lFD5Yzpq/7S1Wy0PLz7lTDvfX3m3cavhHnv6883a+xplQJ929+KMa34hahMoG/7GWh5ePe3gpaHdz8DLQ/v/lbQ8vDr89kRdOS72jUnNdMnvkDLw7tPoEDLA9xXliPpmYdHa6t++lX+KjWTSzeNoW/7Nmh5ePdXQcvDu2+Dlod3fxW0PFz783IkvXk29POcjqf5COZQ3F2jb/v1yLSMd5zx5yFD79/pr/gqaHl49+tBy8O7r4KWh3e/HrQ8vPsf9h2Jt9DSNWMc2NK06Nu+cPMR1XGK6lb/9FXfOIEdLQ/vvsC8m/nMu5kvMO9mvr4Nmuykm53CvLRnGn3bvzloQZaQlfy2vvF+LaDl4d1n3sz7gX3m3cy3HmXNphWSY4fob/Kn6aTWLIzjuHQ5K74UpyUOfduvAScP7z7zZt4P7DPvZv4nVVLPXzagfyeylszG1nWd+hJ927dBy8O7vwpaHt59G7Q8vPuroOXh19eXI18/6zNbupxF3/YNnn6Ety+jTEV+SZEpvly6cKFv+dk+USpoeXj3DZj3vj7zbu8bMO99fX05EpGLV5Vzon8bL5fuLcwjSQe29HmIvu1XgpaHd38JtDy8+5Wg5eHdXwItD9e+8iirPOkTQhjOIawNjP49Qcs2w+nJyyXlWcz0VX/1yFO0PLz7Nsx7X595N/ZtmPe+/nU50k/XB3lOz4d+eo0/41+Gcz42+rZfSXlEdTq5cq4l9FOW3q/R8vDuV8K8mbdHvxLmva+vf9GXNKMMmtzD6sdH0hLmvS/MGwrmvS88s4YQQgghv5j8UdbybEN70zr6N28wrKLuA12e10y/0s9Ay8O7vxW0PLz7GWh5ePe3gpaHO/96s8Y+ZLkcG33br0Qu99lHDZUzpq/6S1ez0fLw7lfCvPf1mXcbvxLmva8/36yxp1UK9G1/K8a04heiMoG+7Weg5eHd3wpaHt79DLQ8vPtbQcvDr89nR9CR72rXnNRMn/gCLQ/vPoECLQ9wX1mOpGceHq2t+ulX+avUTC7dNIa+7dug5eHdXwUtD+++DVoe3v1V0PJw7c/LkfTm2dDPczqe5iOYQ3F3jb7t1yPTMt5xxp+HDL1/p7/iq6Dl4d2vBy0P774KWh7e/XrQ8vDuf9h3JN5CS9eMcWBL06Jv+8LNR1THKapb/dNXfeMEdrQ8vPsC827mM+9mvsC8m/n6Nmiyk252CvPSnmn0bf/moAVZQlby2/rG+7WAlod3n3kz7wf2mXcz33qUNZtWSI4dor/Jn6aTWrMwjuPS5az4UpyWOPRtvwacPLz7zJt5P7DPvJv5n1RJPX/ZgP6dyFoyG1vXdepL9G3fBi0P7/4qaHl4923Q8vDur4KWh19fX458/azPbOlyFn3bN3j6Ed6+jDIV+SVFpvhy6cKFvuVn+0SpoOXh3Tdg3vv6zLu9b8C89/X15UhELl5Vzon+bbxcurcwjyQd2NLnIfq2XwlaHt79JdDy8O5XgpaHd38JtDxc+8qjrPKkTwhhOIewNjD69wQt2wynJy+XlGcx01f91SNP0fLw7tsw73195t3Yt2He+/rX5Ug/XR/kOT0f+uk1/ox/Gc752OjbfiXlEdXp5Mq5ltBPWXq/RsvDu18J82beHv1KmPe+vv5FX9KMMmhyD6sfH0lLmPe+MG8omPe+8MwaQgghhPxi8kdZy7MN7U3r6N+8wbCKug90eV4z/Uo/Ay0P7/5W0PLw7meg5eHd3wpaHu78680a+5Dlcmz0bT8l3qRU71DK5T77qKFyxvRVf+lqNloe3v1KmPe+PvNu41fCvPf155s19rRKgb7tp8gDU8dvixv/GdOKX4jKBPq2n4GWh3d/K2h5ePcz0PLw7m8FLQ+/Pp8d+f9LP70Offj7cIw/j982/xvku9o1JzXTJ75Ay8O7T6BAywPcV5Yj6ZmHR2urfvpV/vvzUX7qQsXk0k1j6Nu+DVoe3v1V0PLw7tug5eHdXwUtD9f+vBxJb54N/Tyn42k+gjkUd9fo237Kn8ch9EPohz+PQ9x4J0WmZbzjjD8PGXr/Tn/FV0HLw7tfD1oe3n0VtDy8+/Wg5eHd/7DvSLyFlq4Z48CWpkXf9v/qn0MIT/0Q79EM5/B+Osa/ROHb4WAfUR2nqG71T1/1jRPY0fLw7gs3n8COnxOaz7yb+QLzbubr26DJTrrZKcxLe6bRL/24FonE9Udci6R/WV2OCLKErOS39Y33awEhj0fyb36/FmBzQvOZd3ufeTfzrUdZs2mFsPjFEPpLvixEsusiGeM4Ll3Oii/FaYlD3/ZrQMjjMfxpOqlv1gJaHt79GnDy8O4z72b+J1VSz182oF/yx2maL5Cchn/+68M/VS5KZC2Zja3rOvUl+rZvg5DHI/mroOXh3bdBy8O7vwpaHn59fTny9bM+s6XLWfRV/4/T9O1wCOHDojt9cCSE8PQjvH0ZZSryS4pM8eXShQt9y8/2iVIByeNhfAPmva/PvNv7Bsx7X19fjkTk4lXlnOjr9Me/9cO3w+Gv/nk4z4+MpBcGXy7dW5hHkg5s6fMQfduvBCWPR/GXQMvDu18JWh7e/SXQ8nDtK4+yypM+IYT4xVR7YPQNX75cE5cj8rsIss1wevJySXkWM33VXz3yFCqPB/BtmPe+PvNu7Nsw733963JE9jIPIZyeD/30Gn/Gv5TnrdC3/UrKI6rTyZVzLaGfsvR+jZaHd78S5s28PfqVMO99ff2LvqQZZdDkHlY/PpKWMO99Yd5QMO994Zk1hBBCCPnF5I+ylmcb2pvW0b95g2EVdR/o8rxm+pV+Bloe3v2toOXh3c9Ay8O7vxW0PNz515s19iHL5djo234lcrnPPmqonDF91V+6mo2Wh3e/Eua9r8+82/iVMO99/flmjT2tUqBv+1sxphW/EJUJ9G0/Ay0P7/5W0PLw7meg5eHd3wpaHn59PjuCjnxXu+akZvrEF2h5ePcJFGh5gPvKciQ98/BobdVPv8pfpWZy6aYx9G3fBi0P7/4qaHl4923Q8vDur4KWh2t/Xo6kN8+Gfp7T8TQfwRyKu2v0bb8emZbxjjP+PGTo/Tv9FV8FLQ/vfj1oeXj3VdDy8O7Xg5aHd//DviPxFlq6ZowDW5oWfdsXbj6iOk5R3eqfvuobJ7Cj5eHdF5h3M595N/MF5t3M17dBk510s1OYl/ZMo2/7NwctyBKykt/WN96vBbQ8vPvMm3k/sM+8m/nWo6zZtEJy7BD9Tf40ndSahXEcly5nxZfitMShb/s14OTh3WfezPuBfebdzP+kSur5ywb070TWktnYuq5TX6Jv+zZoeXj3V0HLw7tvg5aHd38VtDz8+vpy5OtnfWZLl7Po277B04/w9mWUqcgvKTLFl0sXLvQtP9snSgUtD+++AfPe12fe7X0D5r2vry9HInLxqnJO9G/j5dK9hXkk6cCWPg/Rt/1K0PLw7i+Blod3vxK0PLz7S6Dl4dpXHmWVJ31CCMM5hLWB0b8naNlmOD15uaQ8i5m+6q8eeYqWh3ffhnnv6zPvxr4N897Xvy5H+un6IM/p+dBPr/Fn/MtwzsdG3/YrKY+oTidXzrWEfsrS+zVaHt79Spg38/boV8K89/X1L/qSZpRBk3tY/fhIWsK894V5Q8G894Vn1hBCCCHkF5M/ylqebWhvWkf/5g2GVdR9oMvzmulX+hloeXj3t4KWh3c/Ay0P7/5W0PJw519v1tiHLJdjo2/7lcjlPvuooXLG9FV/6Wo2Wh7e/UqY974+827jV8K89/XnmzX2tEqBvu1vxZhW/EJUJtC3/Qy0PLz7W0HLw7ufgZaHd38raHn49fnsCDryXe2ak5rpE1+g5eHdJ1Cg5QHuK8uR9MzDo7VVP/0qf5WayaWbxtC3fRu0PLz7q6Dl4d23QcvDu78KWh6u/Xk5kt48G/p5TsfTfARzKO6u0bf9emRaxjvO+POQoffv9Fd8FbQ8vPv1oOXh3VdBy8O7Xw9aHt79D/uOxFto6ZoxDmxpWvRtX7j5iOo4RXWrf/qqb5zAjpaHd19g3s185t3MF5h3M1/fBk120s1OYV7aM42+7d8ctCBLyEp+W994vxbQ8vDuM2/m/cA+827mW4+yZtMKybFD9Df503RSaxbGcVy6nBVfitMSh77t14CTh3efeTPvB/aZdzP/kyqp5y8b0L8TWUtmY+u6Tn2Jvu3boOXh3V8FLQ/vvg1aHt79VdDy8Ovry5Gvn/WZLV3Oom/7Bk8/wtuXUaYiv6TIFF8uXbjQt/xsnygVtDy8+wbMe1+febf3DZj3vr6+HInIxavKOdG/jZdL9xbmkaQDW/o8RN/2K0HLw7u/BFoe3v1K0PLw7i+BlodrX3mUVZ70CSEM5xDWBkb/nqBlm+H05OWS8ixm+qq/euQpWh7efRvmva/PvBv7Nsx7X/+6HOmn64M8p+dDP73Gn/EvwzkfG33br6Q8ojqdXDnXEvopS+/XaHl49yth3szbo18J897X17/oS5pRBk3uYfXjI2kJ894X5g0F894XnllDCCGEkF9M/ihrebahvWkd/Zs3GFZR94Euz2umX+lnoOXh3d8KWh7e/Qy0PLz7W0HLw51/vVljH7Jcjo2+7Vcil/vso4bKGdNX/aWr2Wh5ePcrYd77+sy7jV8J897Xn2/W2NMqBfq2vxVjWvELUZlA3/Yz0PLw7m8FLQ/vfgZaHt79raDl4dfnsyPoyHe1a05qpk98gZaHd59AgZYHuK8sR9IzD4/WVv30q/xVaiaXbhpD3/Zt0PLw7q+Clod33wYtD+/+Kmh5uPbn5Uh682zo5zkdT/MRzKG4u0bf9uuRaRnvOOPPQ4bev9Nf8VXQ8vDu14OWh3dfBS0P7349aHl49z/sOxJvoaVrxjiwpWnRt33h5iOq4xTVrf7pq75xAjtaHt59gXk385l3M19g3s18fRs02Uk3O4V5ac80+rZ/c9CCLCEr+W194/1aQMvDu8+8mfcD+8y7mW89yppNKyTHDtHf5E/TSa1ZGMdx6XJWfClOSxz6tl8DTh7efebNvB/YZ97N/E+qpJ6/bED/TmQtmY2t6zr1Jfq2b4OWh3d/FbQ8vPs2aHl491dBy8Ovry9Hvn7WZ7Z0OYu+7Rs8/QhvX0aZivySIlN8uXThQt/ys32iVNDy8O4bMO99febd3jdg3vv6+nIkIhevKudE/zZeLt1bmEeSDmzp8xB9268ELQ/v/hJoeXj3K0HLw7u/BFoern3lUVZ50ieEMJxDWBsY/XuClm2G05OXS8qzmOmr/uqRp2h5ePdtmPe+PvNu7Nsw733963Kkn64P8pyeD/30Gn/GvwznfGz0bb+S8ojqdHLlXEvopyy9X6Pl4d2vhHkzb49+Jcx7X1//oi9pRhk0uYfVj4+kJcx7X5g3FMx7X/4PCIYhxzYCtxcAAAAASUVORK5CYII=\n", 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\n", "text/plain": [ "" ] }, "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: $right, 'C'\n", "\n", "\"\"\"\n", "for rect in (\"fillrect\", \"rect\"):\n", " print(f\"Using {rect}\")\n", " render_des_file(des_file.replace(\"%rect%\", rect), n_images=3)" ] }, { "cell_type": "markdown", "id": "6360aeed-e7d9-4100-b240-f22ffd9fbf6c", "metadata": { "tags": [] }, "source": [ "We can select a single coordinate out of a selection using `rndcoord` as follows:" ] }, { "cell_type": "code", "execution_count": 19, "id": "59ee5e98-aacd-453d-9bda-2bda5ac3399c", "metadata": { "tags": [] }, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "des_file = \"\"\"\n", "MAZE: \"mylevel\", ' '\n", "FLAGS:premapped\n", "GEOMETRY:center,center\n", "MAP\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "ENDMAP\n", "REGION: (0,0,20,20), lit, \"ordinary\"\n", "\n", "$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($right), 'C'\n", "\n", "\"\"\"\n", "render_des_file(des_file.replace(\"%rect%\", rect), n_images=3)" ] }, { "cell_type": "markdown", "id": "cfb0802a-5296-44b3-afe0-cd01212319f1", "metadata": { "tags": [] }, "source": [ "We can also use the `REPLACE_TERRAIN` command, rather than just the `TERRAIN` command. This command takes a region, a terrain to replace, a terrain to replace with, and a probability (specified in a percentage), and then replaces each tile of the terrain to replace in the region with the terrain to replace with with the probability specified. Below, we randomly place some trees in the top left and clouds in the top right (by replacing floor), fill the bottom with lava and then randomly replace some of the laval with ice." ] }, { "cell_type": "code", "execution_count": 20, "id": "70d7cbd0-a292-489b-8ec4-881078dcc202", "metadata": { "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "des_file = \"\"\"\n", "MAZE: \"mylevel\", ' '\n", "FLAGS:premapped\n", "GEOMETRY:center,center\n", "MAP\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "...............\n", "ENDMAP\n", "REGION: (0,0,20,20), lit, \"ordinary\"\n", "\n", "$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": [ "" ] }, "metadata": {}, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ "Using roughness 5\n" ] }, { "data": { "image/png": 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vcdA1adA7LSJJtwAdfadwy+bpAXkzYo9a7XwRYBsPTkHvcdA1adA7LeJJt0jLEZiNfhZ8okO28QABQVcAb3hOtwTKEbN75HZmk8usmGKG+US4bTz4BL0vQNecQO/IiSrdIi1HzJuLbX3uat3WAwFFoe0ZUUT3Ojo+WMeDB9D7FuiaAeidCrGl23A5ImUtZT14ylu8VlbbfH3K53hii7/VL+BWc2fbeNvxxBzv+evQe3l8ybqid/DxlxYfSbrF+2SN+CNuJ887E1d9s9/t9qKMdgn2mA0VP9RoRjysCHrbgq4Jgd6p4z/d0tiVVQndyYHeRUmMf0Ven57En7m1kYaK6pTWaHr89+dnd4P3QIrbVqK3xlbv1HW1Bb1hRWJLt6hnRzSD/axLxqxbL44PnrKNB5+g9wXomhPoHTnxpFsa5ciXT8NOF1hcb36Jt8/nqbORklaonkYHu/hq/SHDB6C3xlZvdI0f9I6W2NItjXJEoef6Cvf4/nD3Jk6KmAKNtHu2iocgoLcCXbMEveMkqnRLoBzRK6G2lWj3oUcTB/eHO9XZeaQEWRIP3kDva9A1G9A7fuJJt3jLkbo/VdO/hehkU/e7TjZbtSq737X70qtsrYgy6eLg8nhwCnqPg65Jg95pEUm6xVuOdLK5fqsPVjLAkOLEVhqu6TGA3hNB1xRB70QJm27xliOwClX3LfQQAAAAPiD2cuS69yMbDJsMbtxL+/VUQO9x0Dtp0DstgqdbvOXIrSbU6jhaj3QQOD5wyY4d9B4HvZMGvdMiknSLtIXeLZunB+TNiD1qdTTdxWIGvcdB76RB77SIJ90iLUdgNvrZcS7ZkB/oDeANz+mWQDlidoM0XxfLFDPYMyoV0PsC9M4J9I6cqNIt0nLEvLnY1ucu1W09EFAU2p4RRXTnPH6CjBP0vgV6ZwB6p0Js6TZcjkhZS1kPnvIWr5XVNl+f8jme2OJv9ReY0gw6hvH7jPf8dei9PB69p8d7/jr0zi8+knSL98ka8UfcTp53Gq76Zr/b7QXtD4YxGzB+qBGEBb1tQe+EQO/U8Z9umyScUEJ3stF9mDRJjH9FXp+exJ+5tZEGjOrU+/v79+dnvwMMzM/HR/Ptj5eXUCOZDnpr0Hsc9IYViS3dop4d0Qz2py4Zs269OH7rFEQLel+A3jmB3pETT7qlUY58+TTsdIHF9eaXePt8njobKWmFEPeHu8rf0GAm6K1B7/xA72iJLd3SKEcUeq6vcI/vD3dv4qSIKRA/LyYNeivQO0vQO06iSrcEyhG9EmpbiXYfejRxcH+4U52gb0lDH9RUQO9r0Dsb0Dt+4km3eMuRuj9V07+F6GRT97tONlu1KrvftfvSq2ytiDLp4iBEDnqPg95Jg95pEUm6xVuOdLK5fqsPVjLAkOKEa3SKoPdE0DtF0DtRwqZbvOUIAKTOvn4KPQSAVCktfXIrR657Rea9IfHgxr20X8+V1PW21RW9iyJ1vV3jOn2Cp1s+5citptXqeH5aj3QQOD5wyc6N1PW21RW9iyJ1vV3jOn0iSbdIW+jZcsvm6QFpMWKPWh1Nd7GcSF1vW13RuyhS19s1rtMnnnTLpBwBjX52nEs2xI+trugNoHGdPp7TLcNyxOweab7OhilmsGdUriSnt62u6F0yyentGtfpE1W6ZVKOmDcX2/rc1bqtBwKSRtszoohuwMhPkHmQrt62uqJ3gaSrt2tcp09s6Ta8lFXKWgjR91Or0xjiq75Rtxi1zeYp/+NxHf9hA0bP44k53vPXofc1trqiN3rrU/7HE1u86/SJJN3yebJG/BG3k+ediau+2e92e1FKuwSzAeOHGkFa5Ke3ra7onTH56e0a1+njP902Wf4bK6E72ei+TZrU/7yvT09itG41T72/v39/fvY7wMD8fHw03/54eQk1EnckpLetrvrFxHj0DjUSdySkt2tcp09s6ZbV7IhmsJ91Tph168XxW6cgG5LT21ZX9C6Z5PR2jev0iSfd8ixHvnwadjqD4nrzS7x9Pk+djZS0Qoj7w13lb2jgiYT0ttVVHNC7dBLS2zWu0ye2dMuzHFHoub7MPL4/3L2JkyKmQPy8WBSp6G2rK3qDSEdv17hOn6jSLcNyRK+E2lai3YcejRvuD3eqE/SIZH5HBJ5IUW9bXdG7WFLU2zWu0yeedMunHKn7UzX9W4hONnW/62SzVauy+127z63K1oooky4OQmakrretruhdFKnr7RrX6RNJuuVTjnSyuX6rD1YywJD8wDW6BLLR21ZX9C6BbPR2jev0CZtu+ZQjAOCaff3k9POr7pvTzwfImNTTJ7dy5Lr3Y94bDA9u3Ev79VyJTW9b/dAVRohN79jIPn3WKUfUnb+wd/huNaFWx/PTeqSDwPEhK0dBxKe3rX7oCiPEpndsFJI+K7TQ06uQtpW43kfPD7dsnh6QFiN2qtXRdBfLidj0ttUPXWGE2PSOjXLSZ+nsSN3v2loc5XbTt0e5FaKlKXRY9LPjOVXNkAq2+qErwGwyS58VZkeOcqt/jQGzG+Q2x+JoSi3MnlG5ElxvW/3QFaYTXO/YKCp9VihH/tm2om5F3f6zbUNtXGPeXGzrc5fqth4ISBpt54iCujdSNpN4hROP3rb6oSt8SDx6x0Zp6TN8s0bKWgjR9x9Up6+1FGK7qVtRCSFEuxfHbiuE2NStCri1snXi51vFV32jbjFqm81Tyz8/tvgPGzB6Hk/M8Z6/rgS9bfVDV/QeiYlN79jiC0mf+WtHXuvT3jTHbqvqD1WLmEc8o8Tt5Hmn4apv9rvdXpTS/sBswPihppAW8ettqx+6giZ+vWMjv/TZzP43VuXIpm51FWK+VeVIKIGU0J1srp/0Sd3p16cnMVoXm6fe39+/Pz/7HWBgfj4+mm9/vLyEGok7Auptq59+MTG+NF1tQe8gQwpFaVf7+bMjX7v+NEHStf/5rxDi3BU6yNSIyWB/6pww6+KL47dOQTYE19tWP3SF6QTXOzbKSZ9FD/p+7fqqaYT4q4b9cOGIB758GnY6g+J680u8fT5PzY2UzEKI+8Nd5W9o4ImAetvqJw7oCnZkfPW2pbSr/Rq7stbbf9dt1TSvtWz3p3s0ofZDM9FjyMzj+8PdmzgpaAqaR4EMEwmlt61+6AozyPXqbUtR6bO0HNELWhV6EWtAh/RKqG0lQj147Jr7w53qBD3y/wC/IwJPxKC3rX7oChOJQe/YKCd9lpYjX7te/Ck+zNf+0XvV/xaik03d7zrZbNWNpH4Xtp+OC7SCytSLg5AZseltqx+6wgix6R0bhaRPPh19O9lcv9UHKznwW/IgPynhmmj1ttUPXeGaaPWOjbzTJ59yJFH29VPoIQC4ouq+hR4CAKRB6eXIda/IsBsSD270O9IbyTYeisK13ugHAYnt6u2a7NOt3HLkVtNqddy/1iMdBwa7NdrGQ1G41hv9ICCxXb1dU0i6rdBCL0Vu2Tw9YF1GbFOrqS8CbOOhKFzrjX4QkNiu3q4pJ90KLUcSQj9rPtE523iAFUE/AG9klm6UI391j9zObKK5iCkmmU+c28ZDyayuN/pBPAS/erumqHQrtBwxby629bmrdVsPBDhF2zailG5FdnywjocCcac3+kFw4rl6u6a0dBsuR6SspawHT2UTr5XVNl+f8jmeW/0IbjWPto23HU9O8Z6/LoZ413qjXzzxnr8uhvjYrt6u4wtJt3KfrBF/xO3keWfiqm/2u91exNIuwWzY+KF2M+IhY/zrjX7gjfiv3q7JL9022f+bTUEJ3cmBzn+u/35en57En7m4kYaN6pTWbnr89+dnd4OPkJ+Pj+bbHy8voUYSDyvqbatrafq5Br2vCXj1dk1p6Vb07IhmsJ+1T8w69+L44CnbeCiZ1fVGP4iH4Fdv15STbpQjQgjx5dOw0x6K680v8fb5PNU2UgIL1bDgYBdfrT9kSIwV9bbVFf3ANQGv3q4pLd0oR87ouT7/zVHfxEkpU7iRdtJW8QBiPb3RDyIk1NXbNUWlG+XIeSXUthLtPswY7g93qnP0SAmyJB6KxYXe6AeREMPV2zXlpFu55Ujdn6rp30J0sqn7XSebrVqV3e/afYA5EvVCmXdxcHk8FIVrvdEPAhLb1ds1haRbueVIJ5vrt/pgJQMMSWErWX5SwnK86Y1+4J9or96uyTvdyi1HEqXqvoUeAgBAhuzrp9BDKJrSy5Hr3o9hNxge3Og3m/7R4BnXeqMrBCQ2vWOLT45yy5FbTajVcf9FyUjHgeNDVs6BB1zrja4QkNj0ji0+UQptoXfL5ukB6zJim1pNnUF7JPCGa73RFQISm96xxadLoeVIQuhnzbNxDjIGXSFjbPWOLT5yKEf+6gZpvvbGFJOy3PQGPLC63ugK8RBc79jik6bQcsS8udjW5y7VbT0Q4BRt24hSunNeHiUwuMad3ugKwYlH79jiU2d4KauUtRCi76dWmynGV32jbjFqm81T/sfzYcNGz+PJKd7z18UQ71pvdI0n3vPXxRAfm96xxZvE8O81Mb7cJ2vEH3E7ed5puOqb/W63F7G0PzAbNn6oHYCJf73RFbwRv96xxcfPJvj/cWNACd3JRvdh0rj++3l9ehKjda556v39/fvzs9PxpM7Px0fz7Y+Xl1AjiYcV9UbXsKD3NQH11i8iiU893YqeHdEM9qf2iVnnXhy/dQpgIqvrja4QD8H1ji0+XShHhBDiy6dhpz1MHW1+ibfP56m2kRJYCHF/uKtcDwiyY0W90RViI6De4hBXfOrpRjlyRs/1+e/l+yZOSpnC5VHwQiSspTe6QoSE0ju2+KShHDmvhNpWot2HGcP94U51jh6R0u+IIBNc6I2uEAkx6B1bfLqUW47U/ama/i1EJ5u633Wy2apV2f2u3QeYI1EvlHkXBwGscK03ukJAYtM7tvhEKbcc6WRz/VYfrGSAISnykwz8401vdAX/RKt3bPFpUW454oh9/RR6CAAA4Jyq+xZ6CFlBOWLHda/I8U0ABzfuHekHbRsPsCKu9QYICHpHDuXIVG41rVbHr7Ue6SBwfBhw2jYeYEVc6w0QEPROgkJb6Nlyy+ZbASM2q9XRFwG28QAr4lpvgICgdypQjvhGPzs+0WnbeICAoCtkDHo7hXLEGrN75Haoi+EUU80nyG3jAdyxut4A8YDeMUM5Mgnz5mJbn7tat/VlgLZ5RFndG+n4YB0PsDru9AYIDnqnwnA5ImUtZT14qth4ray2+fqUya3+AreaQdvGm8Tw9xNzvOevSzHetd624yF+erznr0sxHr2TiOfJGguUuJ0870xc9c1+t9uLqe0SzAaMH2o9Ix5gNv71BvAGesfPxvNW6HmghO5ko/s2aY7Ho/gz1zfSgFGd0lpPj//+/LzqHyU3fj4+mm9/vLyEGkm6rKg3uq4Lei8HvaOF2ZE5DPazNjHr6Ivjg6ds4wHcsbreAPGA3tFCOTKHL5+Gna6aZvNLvH0+T+WNlNhCNSA42MVXiwcPMM6KeqMrxAZ6RwvlyHz0XN/FDa/7w92bOClrCj3SHtoqHsADa+kNECHoHSGUI9bolVDbSrT74Zj7w53qBD1SgiyJB3CEC70BIgG9Y4ZyZCp1f6qmfwvRyabud51stmpVdr9r9wNVtnqhzL44eI1tPMCKuNYbICDonQSUI1PpZHP9Vh+s5M3faCsx0oN/vOkN4B/0TgLKkcBU3bfQQwAAAAgM5Ygd180hBzf10wxuJEx/aogT9IaMQe/IoRyZyq0u1er4tdYjHQ2ODzgNcYHe7lALF64XKIA30DsJaKE3iVs23woYsVmt1qb9EsQDertDL6LcVuJ6G1DwAHqnArMjvtHPslNlQ36gt0nd79paHOV207dHuRWiHeppD8mA3k5hdsQasxvkdujqMqV2ZlMdiBP0Xpej3OpfITjoHTOUI5Mwby629blLdVtfBmibR5TVnfOY9IMYQG93/LNtRd2Kuv1n297adwucgt6pMHyzRspaCNH3U2cWS4iv+kbdYtQ2m6eu4z9sCLlwPMRPj/f8dSnGo/fq8a+1FGK7qVtRCSFEuxfHbiuE2NStCri1shW9V49H7yTiWTtigRK3k+edhqu+2e92ezHc/uAasyHkh1oD+AS9V+S1Pm2tdey2qv5QtYh5BHyC3vGz4dmzGSihO9lcL5U/Ho9itI42T72/v39/fnY+3JL4+fhovv3x8hJqJOmC3stR5cimbnUVYr5V5ciMay96Lwe9o4XZkTkM9qc2Mevoi+O3TgFEAnov52vXnyZIuvY//xXC+FtlaiQs6B0tlCNz+PJp2OmqaTa/xNvn81TeSIkthLg/3FXOBgkwD/Reha9dXzWNEH/9CP7hwhFwDXpHC+XIfPRc33U3yDdxUtYUmoIaEgK916He/rtuq6Z5rWW7P92jYT+04KB3hFCOWKNXQm0rcevJvfvDnepMfUtiGkVCnKD3iugFrQq9iJWpkVCgd8xQjkxFb/b8W4hONnW/62SzVTOx/e66IYVWVpl9cRAgKtDbBV+7XvwpPszX4Bn0TgLKkal0srl+qw9WcuC3KJAY4ge9IWPQOwkoR1am6r6FHgKAK9AbMga9w0I54pbrZpKDmwACpAh6Q8agt2coR1xxq6u1Oo7WkDToDRmD3kGghZ4Tbtk8PQAgWtAbMga9Q0E5AgAAAIGhHHGO2T1yO7NJJ0CkoDdkDHr7hHLECebNxbY+d7Vu64EAgLRAb8gY9A7FcDkiZS1lPXiK+InxWllt8/Upn+MpOd7z15UQj97xxHv+uhLi0TtIPE/WOESJ28nzzsRV3+x3u70YbpcAkBDoDRmD3v7Z8HfqASV0JwdaZ/H3vy4/Hx/Ntz9eXkKNpBzQ2xvo7R/09gZrR3ww2M8aIA/QGzIGvb1BOeKDL5+Gj1NcQwagN2QMenuDtSP+0HN9eAz5gd6QMejtAWZHnKNXQm2r0EMBWBv0hoxBb58wO+KKuj9V07+F6GRT97tONlu1KrvftXuqbEgY9IaMQe8g8GQNZAWPHkDGoDdkzP8BDdu0hbMXaXsAAAAASUVORK5CYII=\n", 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\n", "text/plain": [ "" ] }, "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": [ "" ] }, "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 < $variable]`)\n", " * dice-rolls can be used to generate random integers. They take the form `MdN`, which means to roll `M N`-sided die and sum the result (e.g. `2d4`). These can be used in `IF` statements, like `IF[2d4 < 6]`, or any other place an integer is used.\n", " * Arrays can be created in des-files, supporting lists of any object of the same type. The `SHUFFLE` command can be used to randomise the order of a list after it's been created, and then the list can be accessed by index to get a random element." ] }, { "cell_type": "markdown", "id": "08ec7609-458f-4271-bcbd-80fbbfd815b9", "metadata": { "tags": [] }, "source": [ "Here we use `IF[%50]` conditionals to place either trees or clouds on the left of the map, and dice-rolls to randomly place lava or ice on the right. We use shuffle to randomly pick one monster, and a dice-roll to randomly pick another" ] }, { "cell_type": "code", "execution_count": 22, "id": "a3db1f63-8530-4fae-b248-39db8d0d2ca0", "metadata": { "tags": [] }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "des_file = \"\"\"\n", "MAZE: \"mylevel\", ' '\n", "FLAGS:premapped\n", "GEOMETRY:center,center\n", "MAP\n", "...........\n", "...........\n", "...........\n", "...........\n", "...........\n", "...........\n", "...........\n", "...........\n", "...........\n", "...........\n", "...........\n", "ENDMAP\n", "REGION: (0,0,20,20), lit, \"ordinary\"\n", "\n", "$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 }