{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "**Note: This section is still in a draft form.**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Section 5: A Combined Approach" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* We take the tartans from Section 3." ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [], "source": [ "from tartans import tartans" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* And the quantum island from Section 4 (which itself used the island from Section 1)." ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "from quantum_island import quantum_island\n", "\n", "from tools import plot_height\n", "plot_height(quantum_island)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* As well as a drop of randomness." ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "import random" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* We will now combine these to bring the island into 3D.\n", "* This is done by the following function, which builds terrain that can be used in the [Minetest](https://www.minetest.net/) game engine.\n", "* Specifically, it can be used in conjunction with the [csv2terrain](https://github.com/quantumjim/csv2terrain/blob/master/README.md) mod for Minetest.\n", "* The function turns the terrain into a csv file, which specifies what type of block needs to go at what coordinate in order to create the island.\n", "* A wall is placed around the island, decorated with the rune-based tartans.\n" ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [], "source": [ "def make_blocks(height,tartans,depth,terrain = {'sea':2/16,'beach':3/16,'grass':5/16,'forest':12/16,'rock':14/16},origin=(0,0,0),filename='blocks.csv'):\n", " \n", " def in_band(h,this_band):\n", " return (h>=this_band[0]) and (h2:\n", " for h in [H-2,H-1]:\n", " blocks[x,h,y] = 'sand'\n", " \n", " elif in_band(height[x,y],band['grass']) or in_band(height[x,y],band['forest']):\n", " for h in range(1,H-2):\n", " blocks[x,h,y] = 'stone'\n", " blocks[x,H-2,y] = 'dirt'\n", " blocks[x,H-1,y] = 'dirt_with_grass'\n", " if in_band(height[x,y],band['grass']) or r>0.025:\n", " add_grass(blocks,x,H,y,r)\n", " else:\n", " add_tree(blocks,x,H,y,r)\n", " \n", " elif in_band(height[x,y],band['rock']):\n", " for h in range(1,H-2):\n", " blocks[x,h,y] = 'stone'\n", " for h in [H-2,H-1]:\n", " if r<1/6:\n", " blocks[x,h,y] = 'stone_with_gold'\n", " elif r<2/6:\n", " blocks[x,h,y] = 'stone_with_iron'\n", " elif r<3/6:\n", " blocks[x,h,y] = 'stone_with_copper'\n", " else:\n", " blocks[x,h,y] = 'stone'\n", " add_grass(blocks,x,H,y,r,p=0.5)\n", "\n", " elif in_band(height[x,y],band['peak']):\n", " for h in range(1,H):\n", " blocks[x,h,y] = 'stone'\n", " \n", " size = max(max(height.keys()))+1\n", " L = max(max(tartans[0]))+1\n", " \n", " for x in range(size):\n", " for y in range(size):\n", " if (x,0,y) not in blocks:\n", " blocks[x,0,y] = 'sand'\n", " if (x,1,y) not in blocks:\n", " blocks[x,1,y] = 'water_source'\n", " \n", " for j in range(0,size,L):\n", " tartan = random.choice(tartans)\n", " for dj in range(L):\n", " for h in range(L):\n", " x,y = dj,L-1-h\n", " blocks[j+dj,h+1,0] = (tartan[x,y]<2/3)*'diamondblock' + (tartan[x,y]>=2/3)*'goldblock'\n", " blocks[j+dj,h+1,size-1] = (tartan[x,y]<2/3)*'diamondblock' + (tartan[x,y]>=2/3)*'goldblock'\n", " blocks[0,h+1,j+dj] = (tartan[x,y]<2/3)*'diamondblock' + (tartan[x,y]>=2/3)*'goldblock'\n", " blocks[size-1,h+1,j+dj] = (tartan[x,y]<2/3)*'diamondblock' + (tartan[x,y]>=2/3)*'goldblock'\n", " \n", " for h in range(L):\n", " tartan = random.choice(tartans)\n", " for x in range(L):\n", " for y in range(L):\n", " blocks[x-4*(h-(L-1)),h+1,y+size-L+4*(h-(L-1))] = (tartan[x,y]<2/3)*'diamondblock' + (tartan[x,y]>=2/3)*'goldblock' \n", " \n", " for j in range(4*(L-1),int(size/2),4):\n", " for x in range(L):\n", " for y in range(L):\n", " blocks[x+j,1,y+size-L-j] = (tartan[x,y]<2/3)*'diamondblock' + (tartan[x,y]>=2/3)*'goldblock'\n", " \n", " with open(filename, 'w') as file:\n", " file.write( str(origin[0])+','+str(origin[1])+','+str(origin[2])+',min,\\n' )\n", " file.write( str(origin[0]+size)+','+str(origin[1]+depth+1)+','+str(origin[2]+size-1)+',max,\\n' )\n", " file.write( str(origin[0]+1)+','+str(origin[1]+h+2)+','+str(origin[2]+size-2)+',player,\\n' )\n", " for (x,h,y) in blocks:\n", " if h>=0 and x>=0 and y>=0 and x<=size and y<=size:\n", " file.write( str(x+origin[0])+','+str(h+origin[1])+','+str(y+origin[2])+','+blocks[x,h,y]+',\\n' )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* We will implement this with a height of 20 blocks for the island.\n", "* The coordinates of the origin are chosen so that the island can also be created in [QiskitBlocks](https://github.com/JavaFXpert/QiskitBlocks/blob/master/README.md)." ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "size = max(max(quantum_island.keys()))\n", "height = 20\n", "make_blocks(quantum_island,tartans,height,origin=(600-size,0,370-size))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "That's all for now!" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "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": "3.7.0" } }, "nbformat": 4, "nbformat_minor": 2 }