{ "packages": [ "numpy", "scipy", "pillow", "matplotlib" ] } # RUST+.py # https://github.com/olijeffers0n/rustplus import math from math import radians, tan import random from typing import Union, Tuple, List, Any, Dict import numpy as np from scipy.spatial import ConvexHull from PIL import Image, ImageDraw, ImageFont from matplotlib import font_manager LOOKUP_CONSTANTS = [51, 36, 143, 3, 60, 60, 144, 59, 79, 58, 157, 85, 119, 65, 134, 73, 52, 23, 90, 44, 29, 72, 122, 45, 12, 6, 136, 80, 25, 53, 8, 37, 134, 7, 76, 2, 2, 35, 43, 78, 134, 2, 98, 19, 90, 21, 125, 67, 12, 48, 43, 24, 143, 24, 83, 17, 53, 3, 82, 17, 49, 21, 4, 63, 101, 64, 151, 74, 75, 2, 62, 45, 100, 19, 86, 50, 97, 6, 138, 11, 152, 27, 132, 10, 104, 78, 8, 79, 111, 54, 72, 41, 7, 0, 102, 69, 99, 10, 145, 63, 53, 67, 13, 16, 92, 38, 51, 20, 12, 37, 41, 3, 91, 77, 83, 55, 79, 59, 139, 69, 108, 10, 115, 75, 108, 42, 0, 37, 21, 31, 82, 68, 104, 53, 145, 81, 80, 87, 128, 20, 34, 48, 123, 31, 80, 48, 83, 34, 27, 61, 146, 18, 136, 30, 65, 9, 14, 1, 150, 23, 11, 31, 129, 35, 65, 78, 47, 72, 67, 8, 41, 70, 28, 32, 54, 60, 94, 74, 155, 52, 155, 18, 71, 22, 76, 45, 112, 28, 73, 49, 124, 8, 81, 84, 45, 29, 82, 88, 38, 55, 140, 6, 11, 49, 14, 55, 144, 50, 75, 70, 10, 21, 109, 86, 48, 52, 137, 19, 74, 2, 18, 47, 51, 12, 62, 56, 77, 26, 0, 78, 8, 80, 143, 87, 92, 3, 136, 20, 128, 85, 45, 61, 102, 19, 5, 68, 153, 33, 56, 23, 35, 45, 73, 30, 29, 39, 57, 88, 17, 65, 48, 39, 124, 59, 105, 87, 148, 89, 45, 30, 57, 83, 13, 2, 105, 75, 150, 38, 143, 9, 122, 15, 29, 66, 29, 12, 87, 5, 21, 2, 106, 83, 16, 23, 50, 45, 56, 62, 142, 7, 56, 60, 136, 34, 65, 5, 70, 9, 31, 64, 2, 18, 102, 7, 159, 47, 7, 26, 67, 66, 150, 35, 2, 27, 89, 40, 81, 41, 115, 48, 155, 50, 81, 27, 133, 42, 131, 77, 142, 87, 157, 59, 129, 30, 90, 4, 39, 20, 138, 61, 150, 78, 107, 79, 115, 9, 1, 76, 45, 42, 143, 2, 24, 15, 24, 78, 119, 47, 110, 9, 12, 29, 140, 77, 31, 50, 43, 80, 127, 39, 139, 65, 79, 80, 151, 36, 34, 60, 77, 78, 110, 34, 97, 24, 132, 87, 53, 66, 27, 45, 96, 56, 56, 1, 9, 62, 12, 72, 128, 28, 108, 73, 70, 43, 88, 36, 51, 29, 119, 41, 115, 66, 17, 16, 62, 20, 110, 11, 136, 18, 5, 37, 26, 45, 16, 47, 117, 47, 38, 29, 131, 23, 13, 45, 131, 26, 112, 46, 42, 55, 147, 82, 71, 59, 145, 5, 117, 37, 92, 64, 83, 82, 102, 40, 145, 76, 120, 75, 65, 38, 74, 39, 121, 10, 105, 54, 54, 32, 133, 57, 42, 66, 59, 53, 143, 47, 16, 48, 88, 44, 46, 87, 17, 3, 65, 16, 111, 24, 4, 25, 120, 64, 68, 40, 94, 65, 74, 37, 117, 15, 23, 50, 82, 45, 148, 82, 110, 51, 49, 19, 92, 31, 3, 75, 158, 68, 62, 69, 47, 58, 159, 6, 103, 9, 157, 88, 89, 21, 76, 72, 150, 31, 10, 60, 15, 52, 93, 27, 149, 29, 3, 35, 19, 56, 74, 71, 45, 41, 120, 19, 147, 52, 35, 74, 120, 63, 26, 1, 153, 71, 85, 64, 5, 64, 4, 79, 35, 58, 152, 62, 112, 4, 38, 71, 108, 5, 93, 2, 59, 30, 111, 5, 87, 1, 149, 87, 47, 32, 156, 46, 115, 19, 127, 76, 46, 40, 109, 36, 117, 84, 20, 27, 8, 24, 101, 69, 22, 59, 60, 44, 111, 11, 18, 55, 141, 70, 104, 0, 86, 6, 146, 79, 159, 61, 67, 28, 37, 20, 50, 0, 90, 24, 31, 11, 26, 53, 98, 14, 97, 84, 99, 24, 52, 73, 89, 86, 124, 1, 19, 19, 120, 37, 37, 65, 49, 15, 81, 89, 143, 64, 75, 10, 55, 39, 117, 17, 88, 31, 130, 20, 139, 43, 106, 48, 71, 89, 126, 29, 81, 73, 23, 65, 33, 35, 58, 55, 36, 32, 93, 16, 80, 14, 157, 41, 76, 15, 17, 82, 133, 11, 2, 87, 24, 38, 140, 49, 92, 77, 66, 29, 101, 23, 152, 5, 121, 77, 85, 62, 76, 73, 46, 78, 57, 77, 61, 44, 156, 15, 84, 25, 87, 45, 66, 3, 69, 84, 92, 12, 96, 66, 155, 75, 98, 72, 28, 71, 106, 81, 100, 55, 98, 64, 65, 86, 133, 1, 28, 88, 68, 14, 116, 79, 36, 81, 129, 27, 69, 69, 141, 14, 39, 57, 72, 61, 21, 16, 112, 79, 151, 24, 133, 16, 115, 84, 19, 82, 110, 83, 108, 3, 22, 88, 140, 51, 63, 12, 23, 69, 35, 10, 90, 47, 135, 56, 120, 18, 147, 88, 104, 5, 149, 4, 16, 75, 131, 16, 109, 16, 33, 80, 21, 86, 146, 75, 128, 11, 92, 66, 12, 36, 60, 50, 106, 61, 29, 59, 18, 8, 75, 87, 148, 52, 41, 80, 36, 54, 11, 27, 158, 13, 68, 30, 96, 49, 148, 8, 70, 41, 22, 16, 74, 49, 132, 34, 16, 84, 158, 55, 93, 75, 37, 47, 117, 64, 42, 85, 35, 6, 0, 19, 104, 42, 156, 13, 88, 80, 69, 47, 61, 65, 107, 58, 25, 29, 61, 17, 137, 8, 34, 46, 74, 19, 6, 61, 38, 32, 74, 27, 47, 2, 142, 56, 26, 60, 23, 26, 68, 26, 60, 28, 130, 44, 115, 76, 139, 15, 136, 42, 119, 54, 56, 51, 120, 42, 71, 73, 123, 28, 91, 43, 124, 66, 51, 87, 141, 76, 19, 1, 19, 44, 134, 23, 102, 80, 61, 28, 73, 18, 68, 86, 150, 1, 136, 63, 74, 66, 60, 61, 92, 45, 141, 11, 122, 25, 94, 14, 69, 8, 12, 12, 58, 14, 72, 38, 98, 63, 99, 1, 15, 27, 83, 6, 122, 69, 30, 74, 58, 81, 8, 84, 36, 88, 30, 63, 159, 18, 82, 73, 40, 22, 37, 46, 112, 37, 68, 2, 157, 11, 54, 28, 149, 73, 113, 61, 18, 43, 48, 9, 104, 61, 17, 7, 73, 41, 95, 50, 69, 75, 96, 83, 103, 6, 87, 7, 18, 84, 54, 64, 3, 22, 2, 40, 50, 22, 57, 4, 111, 80, 107, 84, 22, 34, 21, 9, 45, 67, 2, 70, 84, 43, 50, 52, 49, 74, 138, 79, 103, 34, 53, 5, 41, 25, 43, 87, 157, 1, 56, 64, 57, 28, 50, 51, 113, 17, 44, 14, 21, 44, 80, 42, 35, 14, 147, 43, 3, 24, 136, 49, 35, 67, 148, 74, 159, 37, 144, 16, 32, 39, 16, 66, 82, 77, 30, 36, 2, 47, 136, 66, 61, 48, 115, 29, 109, 34, 114, 31, 19, 65, 68, 73, 132, 5, 92, 14, 17, 38, 104, 72, 23, 10, 32, 45, 11, 4, 35, 4, 159, 0, 109, 82, 2, 65, 23, 81, 94, 51, 57, 75, 59, 49, 16, 88, 35, 49, 65, 32, 124, 35, 51, 2, 2, 4, 49, 13, 111, 7, 94, 24, 68, 12, 38, 20, 13, 33, 130, 80, 130, 5, 117, 0, 89, 33, 121, 42, 9, 78, 150, 57, 79, 37, 11, 73, 0, 64, 65, 75, 140, 72, 17, 89, 128, 41, 15, 83, 75, 81, 157, 13, 118, 89, 8, 18, 102, 53, 51, 23, 22, 14, 99, 30, 81, 52, 75, 6, 15, 25, 139, 29, 70, 23, 33, 41, 128, 47, 16, 78, 54, 55, 150, 48, 21, 74, 9, 29, 6, 33, 84, 7, 17, 78, 35, 61, 99, 77, 32, 5, 83, 37, 108, 26, 140, 3, 153, 59, 61, 5, 1, 56, 135, 26, 101, 71, 145, 35, 2, 34, 122, 14, 91, 35, 11, 85, 77, 84, 71, 45, 76, 25, 41, 33, 134, 29, 139, 22, 29, 47, 46, 37, 150, 43, 128, 34, 34, 28, 53, 75, 4, 34, 113, 41, 90, 53, 153, 61, 49, 79, 90, 8, 62, 52, 98, 47, 38, 52, 17, 5, 136, 24, 100, 81, 75, 50, 13, 42, 47, 56, 6, 85, 136, 87, 10, 63, 54, 58, 104, 77, 104, 84, 153, 42, 125, 5, 123, 69, 100, 86, 77, 2, 48, 24, 24, 72, 96, 0, 73, 56, 48, 81, 128, 57, 52, 26, 76, 66, 141, 38, 89, 81, 46, 0, 42, 60, 152, 7, 21, 26, 153, 50, 156, 44, 16, 59, 54, 43, 16, 11, 10, 33, 24, 58, 22, 24, 37, 51, 142, 43, 139, 54, 105, 12, 37, 81, 98, 66, 78, 87, 83, 42, 7, 37, 78, 56, 62, 63, 158, 19, 1, 20, 133, 60, 29, 0, 65, 69, 157, 60, 62, 5, 138, 40, 29, 86, 138, 65, 74, 48, 127, 84, 41, 45, 23, 47, 153, 3, 35, 57, 33, 44, 100, 40, 20, 29, 129, 79, 119, 86, 34, 69, 6, 60, 19, 63, 149, 80, 68, 11, 66, 28, 13, 49, 99, 37, 103, 75, 84, 74, 95, 60, 19, 28, 77, 7, 74, 16, 28, 24, 19, 47, 64, 28, 12, 68, 79, 21, 18, 83, 62, 81, 142, 41, 39, 48, 78, 23, 126, 83, 14, 9, 43, 34, 79, 76, 16, 49, 87, 46, 0, 75, 125, 14, 96, 74, 58, 0, 55, 16, 125, 26, 45, 20, 62, 44, 4, 49, 28, 67, 97, 14, 29, 55, 21, 64, 20, 40, 96, 85, 148, 65, 101, 77, 126, 1, 116, 28, 40, 29, 149, 11, 99, 11, 46, 80, 78, 26, 93, 49, 19, 77, 84, 80, 12, 8, 42, 47, 127, 19, 147, 80, 39, 1, 62, 26, 95, 19, 45, 8, 32, 10, 93, 7, 148, 70, 108, 44, 89, 12, 53, 57, 76, 18, 77, 25, 101, 63, 5, 18, 38, 69, 118, 38, 145, 44, 4, 42, 57, 63, 94, 47, 92, 5, 59, 55, 46, 61, 92, 23, 134, 79, 70, 22, 124, 56, 14, 64, 96, 64, 110, 41, 147, 51, 25, 2, 117, 27, 116, 76, 123, 18, 37, 25, 59, 36, 143, 6, 138, 55, 137, 43, 70, 89, 135, 3, 53, 12, 105, 53, 146, 84, 108, 48, 65, 20, 27, 5, 158, 29, 65, 39, 94, 28, 33, 77, 123, 17, 63, 33, 36, 66, 1, 78, 0, 59, 144, 67, 132, 41, 19, 22, 95, 47, 49, 66, 105, 32, 28, 83, 152, 66, 37, 33, 110, 35, 122, 85, 65, 67, 128, 43, 90, 76, 84, 57, 23, 76, 97, 18, 33, 3, 95, 54, 155, 26, 71, 65, 90, 26, 106, 6, 141, 45, 149, 47, 91, 28, 59, 61, 99, 59, 0, 18, 92, 89, 108, 34, 62, 3, 62, 10, 92, 36, 78, 59, 106, 29, 74, 57, 112, 15, 129, 81, 141, 52, 96, 9, 30, 59, 151, 11, 81, 13, 105, 0, 17, 37, 145, 31, 141, 44, 125, 18, 62, 87, 125, 68, 99, 9, 145, 38, 45, 69, 100, 16, 60, 68, 26, 10, 2, 77, 133, 84, 22, 58, 76, 27, 122, 43, 132, 25, 32, 52, 41, 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43, 49, 101, 8, 111, 81, 42, 43, 124, 43, 138, 70, 74, 78, 4, 36, 43, 3, 50, 70, 53, 31, 28, 22, 151, 35, 61, 25, 113, 57, 37, 29, 64, 86, 94, 38, 65, 47, 132, 17, 54, 18, 78, 38, 31, 31, 22, 40, 156, 0, 65, 29, 110, 5, 38, 40, 107, 2, 152, 87, 11, 25, 80, 81, 50, 66, 18, 71, 86, 19, 134, 53, 79, 75, 82, 55, 24, 75, 112, 61, 102, 72, 150, 0, 148, 57, 8, 14, 36, 52, 34, 41, 126, 56, 40, 26, 17, 0, 42, 82, 60, 30, 26, 62, 16, 42, 95, 12, 18, 61, 145, 82, 89, 17, 80, 22, 30, 20, 142, 40, 35, 72, 114, 21, 151, 50, 139, 87, 106, 5, 148, 49, 140, 35, 50, 50, 78, 45, 21, 68, 14, 7, 156, 57, 39, 68, 75, 30, 94, 21, 108, 41, 52, 40, 50, 65, 100, 6, 131, 13, 3, 20, 76, 9, 156, 25, 138, 26, 138, 18, 52, 32, 10, 44, 152, 54, 130, 33, 105, 74, 1, 57, 93, 9, 107, 15, 120, 86, 80, 8, 78, 9, 100, 23, 37, 85, 102, 2, 116, 51, 96, 75, 101, 18, 97, 54, 78, 76, 143, 88, 38, 44, 109, 39, 98, 10, 100, 69, 12, 84, 92, 22, 102, 62, 7, 52, 159, 19, 124, 37, 112, 86, 65, 2, 130, 79, 3, 39, 135, 87, 101, 67, 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0, 23, 91, 69, 154, 47, 0, 1, 46, 74, 135, 38, 139, 58, 2, 81, 132, 73, 133, 35, 64, 87, 7, 19, 4, 72, 3, 45, 105, 28, 62, 48, 2, 15, 138, 29, 7, 50, 117, 11, 50, 59, 155, 36, 90, 59, 99, 46, 42, 6, 48, 44, 97, 16, 55, 26, 113, 4, 36, 22, 53, 28, 149, 70, 150, 44, 122, 44, 105, 55, 157, 47, 9, 26, 105, 76, 55, 74, 105, 39, 10, 74, 97, 79, 59, 20, 76, 61, 24, 83, 74, 75, 47, 47, 140, 74, 115, 67, 129, 28, 57, 48, 120, 24, 43, 27, 78, 48, 42, 9, 153, 19, 20, 9, 86, 32, 3, 3, 144, 66, 71, 67, 68, 16, 93, 50, 154, 15, 41, 56, 155, 12, 112, 21, 78, 11, 71, 0, 19, 16, 115, 11, 105, 43, 69, 14, 154, 23, 68, 82, 80, 21, 72, 76, 8, 58, 114, 32, 82, 50, 58, 12, 62, 62, 23, 0, 67, 19, 3, 60, 128, 66, 14, 87, 52, 50, 107, 51, 153, 13, 149, 16, 92, 40, 14, 21, 111, 56, 37, 62, 49, 31, 122, 16, 71, 34, 136, 37, 52, 56, 95, 6, 88, 79, 104, 25, 154, 46, 43, 82, 142, 69, 128, 4, 155, 7, 141, 39, 82, 8, 72, 78, 92, 15, 76, 57, 41, 75, 158, 5, 22, 1, 13, 13, 156, 71, 26, 89, 25, 81, 134, 83, 18, 28, 1, 65, 102, 13, 147, 73, 136, 83, 142, 58, 43, 31, 28, 10, 29, 56, 61, 35, 141, 61, 154, 63, 84, 38, 2, 45, 14, 40, 68, 48, 124, 57, 124, 70, 140, 37, 90, 67, 68, 68, 115, 61, 142, 57, 44, 12, 95, 14, 98, 68, 99, 78, 86, 21, 89, 52, 7, 9, 85, 70, 134, 41, 14, 46, 90, 55, 19, 36, 73, 57, 111, 30, 134, 65, 69, 73, 60, 81, 29, 58, 38, 26, 157, 17, 107, 10, 90, 66, 62, 11, 115, 38, 27, 57, 85, 61, 97, 3, 19, 53, 70, 60, 50, 16, 78, 29, 156, 45, 119, 16, 80, 34, 94, 79, 37, 1, 40, 85, 98, 76, 92, 75, 29, 37, 152, 6, 11, 5, 158, 88, 23, 49, 158, 85, 120, 13, 30, 0, 127, 2, 88, 25, 108, 56, 87, 79, 111, 88, 61, 58, 55, 68, 83, 50, 44, 76, 130, 26, 23, 89, 18, 88, 100, 32, 136, 56, 8, 60, 96, 89, 76, 51, 105, 83, 40, 69, 152, 26, 157, 69, 127, 34, 114, 68, 151, 83, 33, 68, 56, 49, 155, 0, 48, 56, 99, 57, 8, 88, 100, 28, 103, 71, 17, 69, 129, 18, 15, 20, 138, 23, 20, 13, 159, 68, 135, 63, 67, 32, 156, 34, 31, 19, 46, 57, 42, 41, 116, 61, 26, 6, 79, 70, 36, 13, 41, 64, 21, 12, 98, 4, 11, 28, 133, 32, 155, 60, 131, 87, 9, 33, 124, 16, 129, 73, 138, 68, 35, 60, 66, 2, 33, 62, 116, 1, 157, 71, 67, 43, 112, 2, 75, 46, 145, 57, 40, 11, 79, 9, 73, 61, 22, 85, 23, 4, 78, 68, 29, 77, 145, 79, 120, 85, 105, 51, 120, 40, 94, 86, 21, 79, 35, 88, 3, 56, 7, 18, 94, 77, 41, 44, 37, 35, 133, 45, 151, 52, 97, 39, 57, 32, 36, 49, 88, 48, 65, 36, 15, 60, 55, 67, 77, 87, 70, 45, 74, 60, 47, 69, 46, 50, 94, 75, 120, 17, 51, 55, 146, 85, 57, 20, 3, 42, 2, 12, 78, 41, 77, 43, 82, 16, 34, 7, 98, 7, 47, 19, 86, 67, 100, 68, 144, 76, 103, 85, 156, 86, 69, 22, 3, 10, 122, 74, 116, 34, 63, 52, 107, 75, 127, 15, 56, 12, 158, 60, 18, 17, 130, 12, 136, 72, 20, 39, 158, 8, 40, 83, 157, 35, 133, 62, 102, 39, 108, 2, 49, 44, 114, 81, 88, 8, 140, 60, 19, 83, 1, 25, 92, 13, 156, 32, 81, 10, 71, 29, 73, 32, 115, 73, 13, 76, 53, 89, 62, 47, 63, 44, 15, 70, 84, 67, 141, 57, 57, 39, 131, 70, 1, 64, 159, 77, 34, 4, 150, 50, 121, 54, 70, 34, 82, 78, 101, 29, 141, 34, 18, 60, 29, 6, 69, 18, 95, 81, 11, 74, 140, 42, 3, 64, 93, 84, 74, 47, 88, 29, 20, 71, 88, 50, 158, 78, 146, 22, 72, 34, 76, 17, 7, 66, 84, 31, 114, 15, 57, 31, 30, 50, 153, 31, 135, 14, 75, 51, 114, 36, 38, 75, 61, 69, 25, 8, 144, 22, 139, 73, 17, 24, 151, 89, 107, 80, 25, 30, 66, 50, 143, 59, 9, 28, 146, 36, 20, 53, 143, 66, 131, 67, 134, 75, 41, 72, 71, 19, 43, 62, 55, 31, 118, 28, 146, 71, 55, 32, 108, 24, 77, 42, 123, 39, 101, 36, 33, 59, 144, 43, 30, 2, 64, 2, 14, 61, 127, 24, 131, 55, 144, 34, 149, 40, 88, 61, 34, 35, 1, 75, 19, 73, 113, 54, 65, 56, 52, 25, 48, 36, 134, 63, 32, 66, 33, 9, 139, 85, 56, 81, 38, 24, 12, 14, 155, 27, 133, 70, 34, 72, 75, 11, 9, 19, 40, 82, 130, 57, 35, 36, 103, 18, 30, 35, 137, 65, 111, 63, 124, 63, 98, 85, 31, 3, 28, 68, 136, 67, 125, 88, 102, 66, 95, 42, 76, 43, 89, 36, 93, 21, 62, 42, 91, 84, 69, 16, 149, 24, 34, 56, 114, 39, 23, 71, 5, 85, 81, 24, 41, 6, 151, 7, 126, 51, 11, 84, 20, 4, 7, 10, 46, 76, 51, 62, 149, 57, 62, 67, 51, 45, 121, 31, 151, 80, 86, 62, 41, 52, 46, 39, 39, 77, 11, 43, 116, 9, 11, 42, 26, 28, 78, 89, 100, 11, 24, 32, 98, 30, 76, 48, 36, 67, 33, 55, 30, 1, 74, 43, 146, 64, 72, 28, 36, 0, 28, 74, 20, 69, 52, 65, 69, 24, 28, 56, 27, 10, 82, 81, 39, 75, 0, 58, 47, 73, 125, 13, 2, 33, 112, 40, 56, 9, 149, 44, 65, 87, 82, 34, 20, 31, 124, 69, 2, 16, 96, 21, 133, 76, 100, 75, 80, 28, 106, 46, 22, 73, 124, 46, 83, 10, 28, 70, 126, 74, 8, 29, 111, 59, 9, 73, 88, 68, 45, 80, 77, 41, 61, 71, 37, 9, 38, 38, 43, 70, 105, 85, 125, 3, 35, 89, 62, 80, 50, 41, 97, 82, 139, 25, 123, 29, 110, 47, 44, 81, 76, 20, 104, 80, 44, 72, 19, 7] SCIENTIST_COLOUR = "#3098f2" PLAYER_COLOUR = "#fa2828" TREE_COLOUR = "#03ad15" class Entity: def __init__(self, entity_data) -> None: self.entity_id: int = entity_data.entityId self.type: int = entity_data.type self.position: Vector3 = Vector3(entity_data.position) self.rotation: Vector3 = Vector3(entity_data.rotation) self.size: Vector3 = Vector3(entity_data.size) self.name: str = entity_data.name def __str__(self) -> str: return ( f"Entity(entity_id={self.entity_id}, type={self.type}, position={self.position}, " f"rotation={self.rotation}, size={self.size}, name={self.name})" ) def __repr__(self): return self.__str__() class Vector3: def __init__(self, vector3=None, x=None, y=None, z=None) -> None: self.x: float = vector3.x if x is None else x self.y: float = vector3.y if y is None else y self.z: float = vector3.z if z is None else z def __eq__(self, other): if not isinstance(other, Vector3): return False return self.x == other.x and self.y == other.y and self.z == other.z def __hash__(self): return hash((self.x, self.y, self.z)) def __str__(self) -> str: return f"Vector3(x={self.x}, y={self.y}, z={self.z})" class Parser: def __init__(self, width: int, height: int) -> None: self.width = width self.height = height self.data_pointer = 0 self._rays = None self._ray_lookback = [[0 for _ in range(3)] for _ in range(64)] self._sample_offset = 0 self.colours = [ (127, 127, 127), (204, 178, 178), (76, 178, 255), (153, 153, 153), (178, 178, 178), (204, 153, 102), (255, 102, 102), (255, 25, 25), ] self.scale_factor = 1 self.colour_output = None self.depth_output = None self.reset_output() self.entities = [] self.last_fov = 0 self.font = font_manager.FontProperties(family='sans-serif', weight='bold') self.font = font_manager.findfont(self.font) def reset_output(self) -> None: self.colour_output = np.full( (self.width * self.scale_factor, self.height * self.scale_factor, 3), np.array([208, 230, 252]), ) self.depth_output = np.zeros( (self.width * self.scale_factor, self.height * self.scale_factor) ) def handle_camera_ray_data(self, data) -> None: if data is None: return self._rays = data self.data_pointer = 0 self._sample_offset = 2 * data.sample_offset while self._sample_offset >= 2 * self.width * self.height: self._sample_offset -= 2 * self.width * self.height self._ray_lookback = [[0 for _ in range(3)] for _ in range(64)] def step(self) -> None: if self._rays is None: return while True: if self.process_rays_batch(): self._rays = None break def process_rays_batch(self) -> bool: if self._rays is None: return True for h in range(100): if self.data_pointer >= len(self._rays.ray_data) - 1: return True ray = self.next_ray(self._rays.ray_data) while self._sample_offset >= 2 * self.width * self.height: self._sample_offset -= 2 * self.width * self.height distance = ray[0] alignment = ray[1] material = ray[2] index1 = LOOKUP_CONSTANTS[self._sample_offset] self._sample_offset += 1 index2 = int(LOOKUP_CONSTANTS[self._sample_offset] * self.width + index1) self._sample_offset += 1 x = (index2 % self.width) * self.scale_factor y = ( (self.width * self.height - 1 - index2) // self.width ) * self.scale_factor if ( not (distance == 1 and alignment == 0 and material == 0) and material != 7 ): self.colour_output[ x : x + self.scale_factor, y : y + self.scale_factor ] = MathUtils._convert_colour( ( (colour := self.colours[material])[0], colour[1], colour[2], alignment, ) ) else: self.colour_output[ x : x + self.scale_factor, y : y + self.scale_factor ] = (208, 230, 252) distance = float("inf") self.depth_output[ x : x + self.scale_factor, y : y + self.scale_factor ] = distance return False def next_ray(self, ray_data) -> List[Union[float, int]]: byte = ray_data[self.data_pointer] self.data_pointer += 1 if byte == 255: second_byte = ray_data[self.data_pointer] self.data_pointer += 1 third_byte = ray_data[self.data_pointer] self.data_pointer += 1 fourth_byte = ray_data[self.data_pointer] self.data_pointer += 1 t = (second_byte << 2) | (third_byte >> 6) r = 63 & third_byte i = fourth_byte u = (3 * (int(t / 128) | 0) + 5 * (int(r / 16) | 0) + 7 * i) & 63 self._ray_lookback[u][0] = t self._ray_lookback[u][1] = r self._ray_lookback[u][2] = i else: c = 192 & byte if c == 0: h = 63 & byte y = self._ray_lookback[h] t = y[0] r = y[1] i = y[2] elif c == 64: p = 63 & byte v = self._ray_lookback[p] b = v[0] w = v[1] x = v[2] g = ray_data[self.data_pointer] self.data_pointer += 1 t = b + ((g >> 3) - 15) r = w + ((7 & g) - 3) i = x elif c == 128: R = 63 & byte C = self._ray_lookback[R] I = C[0] P = C[1] k = C[2] t = I + (ray_data[self.data_pointer] - 127) self.data_pointer += 1 r = P i = k else: A = ray_data[self.data_pointer] self.data_pointer += 1 F = ray_data[self.data_pointer] self.data_pointer += 1 t = (A << 2) | (F >> 6) r = 63 & F i = 63 & byte D = (3 * (int(t / 128) | 0) + 5 * (int(r / 16) | 0) + 7 * i) & 63 self._ray_lookback[D][0] = t self._ray_lookback[D][1] = r self._ray_lookback[D][2] = i return [t / 1023, r / 63, i] def handle_entities( self, image_draw: ImageDraw, image_data: Any, entities: List[Entity], cam_fov: float, depth_data: Any, far_plane: float, width: int, height: int, entity_render_distance: float, max_entity_amount: int, ) -> Any: image_data = np.array(image_data) players = [player for player in entities if player.type == 2] trees = [tree for tree in entities if tree.type == 1] tree_amount = max_entity_amount - len(players) target_trees = [] if len(trees) < tree_amount: target_trees = trees else: if self.last_fov == cam_fov: for entity in self.entities: # Entity is an entity id and we should try and find it in the trees list for tree in trees: if tree.entity_id == entity: target_trees.append(tree) break if len(target_trees) < tree_amount: random.shuffle(trees) target_trees += trees[: tree_amount - len(target_trees)] self.entities = [tree.entity_id for tree in target_trees] self.last_fov = cam_fov entities = players + target_trees entities.sort(key=lambda e: e.position.z, reverse=True) # position, rotation, size of camera cam_pos = np.array([0, 0, 0]) cam_rot = np.array([0, 0, 0]) cam_near = 0.01 cam_far = 1000 # aspect ratio of the image aspect_ratio = width / height view_matrix = MathUtils.camera_matrix(cam_pos, cam_rot) projection_matrix = MathUtils.perspective_matrix( cam_fov, aspect_ratio, cam_near, cam_far ) text = set() for entity in entities: if entity.position.z > entity_render_distance and entity.type == 1: continue Parser.handle_entity( entity, image_draw, cam_pos, projection_matrix, view_matrix, image_data, depth_data, width, height, cam_near, cam_far, far_plane, cam_fov, aspect_ratio, text, self.font, ) return text, image_data @staticmethod def handle_entity( entity, image_draw, cam_pos, projection_matrix, view_matrix, image_data, depth_data, width, height, cam_near, cam_far, far_plane, cam_fov, aspect_ratio, text, font, ) -> None: entity.size.x = min(entity.size.x, 5) entity.size.y = min(entity.size.y, 5) entity.size.z = min(entity.size.z, 5) entity_pos = np.array( [ entity.position.x, entity.position.y + (2 if entity.type == 1 else 0), entity.position.z, 0, ] ) entity_rot = np.array( [entity.rotation.x, entity.rotation.y, entity.rotation.z, 0] ) entity_size = np.array([entity.size.x, entity.size.y, entity.size.z, 0]) vertices = ( MathUtils.get_player_vertices(entity.size) if entity.type == 2 else MathUtils.get_tree_vertices(entity.size) ) # Add the position for the name tag to the vertices vertices = np.append(vertices, [np.array([0, 1.3, 0, 1])], axis=0) model_matrix = np.matmul( np.matmul( MathUtils.translation_matrix(entity_pos), MathUtils.rotation_matrix(entity_rot), ), MathUtils.scale_matrix(entity_size), ) # Add rotation to face the camera cam_direction = cam_pos - entity_pos[:3] cam_direction[1] = 0 cam_angle = np.arctan2(cam_direction[2], cam_direction[0]) cam_rotation_matrix = MathUtils.rotation_matrix([0, cam_angle, 0, 0]) model_matrix = np.matmul(model_matrix, cam_rotation_matrix) mvp_matrix = np.matmul(np.matmul(projection_matrix, view_matrix), model_matrix) # Calculate the transformed vertices transformed_vertices = np.matmul(mvp_matrix, vertices.T).T # Normalize the transformed vertices and calculate pixel coordinates pixel_coords = tuple( map( tuple, np.round( ( (transformed_vertices[:, :2] / transformed_vertices[:, 3, None]) * np.array([width, -height]) / 2 ) + np.array([width, height]) / 2 ).astype(np.int32), ) ) # Remove the last element of the pixel_coords array name_place = pixel_coords[-1] pixel_coords = pixel_coords[:-1] colour = ( (PLAYER_COLOUR if not entity.name.isdigit() else SCIENTIST_COLOUR) if entity.type == 2 else MathUtils.get_slightly_random_colour(TREE_COLOUR, entity.position) ) MathUtils.set_polygon_with_depth( MathUtils.gift_wrap_algorithm(pixel_coords), image_data, depth_data, math.sqrt( entity.position.x**2 + entity.position.y**2 + entity.position.z**2 ), colour, width, height, far_plane, ) if entity.type == 2: font_size = min( 16, max( MathUtils.get_font_size( entity.position.z, 250, cam_near, cam_far, aspect_ratio, cam_fov ), 1, ) ) # The font size should be proportional to the size of the entity as it gets further away font_obj = ImageFont.truetype(font, font_size) size = image_draw.textsize(entity.name, font=font_obj) name_place1 = ( name_place[0] - size[0] // 2, name_place[1] - size[1] // 2, ) text.add((name_place1, entity.name, font_obj)) def render( self, render_entities: bool, entities: List[Entity], fov: float, far_plane: float, entity_render_distance: float, max_entity_amount: int, ) -> Image.Image: # We have the output array filled with RayData objects # We can get the material at each pixel and use that to get the colour # We can then use the alignment to get the alpha value image = Image.new( "RGBA", (self.width * self.scale_factor, self.height * self.scale_factor), (0, 0, 0), ) draw = ImageDraw.Draw(image) if not render_entities: entities = [] text, image_data = self.handle_entities( draw, self.colour_output, entities, fov, self.depth_output, far_plane, image.size[0], image.size[1], entity_render_distance, max_entity_amount, ) image_data = image_data.astype("uint8") # transpose the array transposed_arr = image_data.transpose((1, 0, 2)) # This doesn't work: image = Image.fromarray(transposed_arr, "RGB") draw = ImageDraw.Draw(image) for pos, name, font in text: draw.text(pos, name, font=font, fill="black") return image class MathUtils: VERTEX_CACHE: Dict[Vector3, np.ndarray] = {} COLOUR_CACHE: Dict[Tuple[float, float, float, float], Tuple[int, int, int]] = {} @staticmethod def camera_matrix(position, rotation) -> np.ndarray: matrix = np.matmul( MathUtils.rotation_matrix(rotation), MathUtils.translation_matrix(-position) ) return np.linalg.inv(matrix) @staticmethod def scale_matrix(size) -> np.ndarray: return np.array( [[size[0], 0, 0, 0], [0, size[1], 0, 0], [0, 0, size[2], 0], [0, 0, 0, 1]] ) @staticmethod def rotation_matrix(rotation) -> np.ndarray: pitch = rotation[0] yaw = rotation[1] roll = rotation[2] rotation_x = np.array( [ [1, 0, 0, 0], [0, np.cos(pitch), -np.sin(pitch), 0], [0, np.sin(pitch), np.cos(pitch), 0], [0, 0, 0, 1], ] ) rotation_y = np.array( [ [np.cos(yaw), 0, np.sin(yaw), 0], [0, 1, 0, 0], [-np.sin(yaw), 0, np.cos(yaw), 0], [0, 0, 0, 1], ] ) rotation_z = np.array( [ [np.cos(roll), -np.sin(roll), 0, 0], [np.sin(roll), np.cos(roll), 0, 0], [0, 0, 1, 0], [0, 0, 0, 1], ] ) return np.matmul(np.matmul(rotation_x, rotation_y), rotation_z) @staticmethod def translation_matrix(position) -> np.ndarray: return np.array( [ [1, 0, 0, position[0]], [0, 1, 0, position[1]], [0, 0, 1, -position[2]], [0, 0, 0, 1], ] ) @staticmethod def perspective_matrix(fov, aspect_ratio, near, far) -> np.ndarray: f = 1 / tan(radians(fov) / 2) return np.array( [ [f / aspect_ratio, 0, 0, 0], [0, f, 0, 0], [0, 0, (far + near) / (near - far), 2 * far * near / (near - far)], [0, 0, -1, 0], ] ) @staticmethod def gift_wrap_algorithm(vertices) -> List[Tuple[float, float]]: data = np.array(vertices) # Check that the min and max are not the same if ( data.max(axis=0)[0] == data.min(axis=0)[0] or data.max(axis=0)[1] == data.min(axis=0)[1] ): return [] # use convex hull algorithm to find the convex hull from scipy hull = ConvexHull(data) # get the vertices of the convex hull return [tuple(data[i]) for i in hull.vertices] @classmethod def _convert_colour( cls, colour: Tuple[float, float, float, float], ) -> Tuple[int, int, int]: if colour in cls.COLOUR_CACHE: return cls.COLOUR_CACHE[colour] colour = ( int(colour[3] * colour[0]), int(colour[3] * colour[1]), int(colour[3] * colour[2]), ) cls.COLOUR_CACHE[colour] = colour return colour @staticmethod def solve_quadratic(a: float, b: float, c: float, larger: bool) -> float: """ Solves a quadratic equation but only returns either the larger or smaller root depending on the larger parameter """ if a == 0: return -c / b discriminant = b**2 - 4 * a * c if discriminant < 0: return 0 if larger: return (-b + math.sqrt(discriminant)) / (2 * a) else: return (-b - math.sqrt(discriminant)) / (2 * a) @classmethod def get_tree_vertices(cls, size) -> np.ndarray: size = Vector3(size) if size in cls.VERTEX_CACHE: return cls.VERTEX_CACHE[size] number_of_segments = 14 segment_angle = (2 * math.pi) / number_of_segments vertex_list = [] for x_value in [size.y / 8, -size.y / 8]: for i in range(number_of_segments): angle = segment_angle * i z = math.sin(angle) * abs(x_value) new_x = math.cos(angle) * abs(x_value) vertex_list.append([new_x, 0, z, 1]) vertex_list.append([0, size.y / 2, 0, 1]) vertices = np.array(vertex_list) cls.VERTEX_CACHE[size] = vertices return vertices @classmethod def get_player_vertices(cls, size) -> np.ndarray: size = Vector3(size) if size in cls.VERTEX_CACHE: return cls.VERTEX_CACHE[size] number_of_segments = 14 segment_angle = (2 * math.pi) / number_of_segments vertex_list1 = [] vertex_list2 = [] # The vertices of the pill height = size.y + 0.3 width = 0.5 * size.x**size.z increment = 0.1 x = 0 while x <= width: for offset in range(-1, 2, 2): x_value = x * offset # Use the quadratic formula to find the y values of the top and bottom of the pill y1 = MathUtils.solve_quadratic( 1, -2 * 0.5, x_value**2 + 0.5**2 - 0.5**2, False ) y2 = MathUtils.solve_quadratic( 1, -2 * (height - 0.5), x_value**2 + (height - 0.5) ** 2 - 0.5**2, True, ) if y1 == 0 or y2 == 0: x_value += increment continue for i in range(number_of_segments): angle = segment_angle * i z = math.sin(angle) * abs(x_value) new_x = math.cos(angle) * abs(x_value) vertex_list1.append([new_x, y1 / 2, z, 1]) vertex_list2.append([new_x, y2 / 2, z, 1]) # when x is greater than 4/5 of the width, decrease the increment if x > 0.8 * width: increment = 0.001 x += increment vertices = np.array(vertex_list1 + vertex_list2[::-1]) cls.VERTEX_CACHE[size] = vertices return vertices @staticmethod def get_slightly_random_colour(colour: str, entity_pos: Vector3) -> str: # Create an algorithm will slightly vary the colour based on the distance from the origin # This is to make it easier to distinguish between entities distance_squared = entity_pos.x**2 + entity_pos.y**2 + 2 * entity_pos.z**2 r, g, b = int(colour[1:3], 16), int(colour[3:5], 16), int(colour[5:7], 16) r += int(distance_squared * 0.0003) % 10 g += int(distance_squared * 0.0003) % 10 b += int(distance_squared * 0.0003) % 10 return f"#{r}{g}{b}" @staticmethod def get_font_size(distance, font_size, near, far, aspect_ratio, fov) -> int: """ Given the distance from the screen, uses perspective projection matrix to return a font size for some text. Args: distance (float): Distance from the screen in meters text (str): Text to calculate font size for font_size (int): Base font size in pixels screen_width (int): Width of the screen in pixels screen_height (int): Height of the screen in pixels Returns: int: Font size in pixels """ f = 1.0 / np.tan(np.deg2rad(fov / 2.0)) projection_matrix = np.array( [ [f / aspect_ratio, 0.0, 0.0, 0.0], [0.0, f, 0.0, 0.0], [ 0.0, 0.0, (far + near) / (near - far), 2.0 * far * near / (near - far), ], [0.0, 0.0, -1.0, 0.0], ] ) # Define the modelview matrix based on the distance from the screen modelview_matrix = np.array( [ [1.0, 0.0, 0.0, 0.0], [0.0, 1.0, 0.0, 0.0], [0.0, 0.0, 1.0, -distance], [0.0, 0.0, 0.0, 1.0], ] ) # Calculate the projection of the text onto the screen text_projection = projection_matrix @ modelview_matrix projected_text = np.array([font_size, 0, 0, 1]) @ text_projection projected_text /= projected_text[3] projected_size = projected_text[0] return int(projected_size) @staticmethod def set_polygon_with_depth( vertices, image_data, depth_data, depth, colour, width, height, far_plane ) -> None: if len(vertices) <= 1: return colour = MathUtils.convert_colour_to_tuple(colour) pixels = MathUtils.get_vertices_in_polygon(vertices, width, height) if len(pixels) == 0: return pixels = pixels[ (pixels[:, 0] >= 0) & (pixels[:, 0] < depth_data.shape[0]) & (pixels[:, 1] >= 0) & (pixels[:, 1] < depth_data.shape[1]) ] # Get all pixels where depth_data[x, y] * far_plane > depth is true pixels = pixels[ depth_data[pixels[:, 0], pixels[:, 1]] * far_plane > depth - 0.5 ] # Set the pixels to the colour image_data[pixels[:, 0], pixels[:, 1]] = colour @staticmethod def convert_colour_to_tuple(colour) -> Tuple[int, int, int]: """ Converts a colour in the form #RRGGBB to a tuple of the form (R, G, B) """ return int(colour[1:3], 16), int(colour[3:5], 16), int(colour[5:7], 16) @staticmethod def get_vertices_in_polygon(vertices, width, height) -> np.ndarray: """ Takes a list of vertices and returns the vertices that are inside the polygon defined by the vertices vertices is a list of vertices in the form [x, y] width and height specify the size of the bounding box around the polygon """ # Create an image mask for the polygon mask = Image.new("L", (width, height), 0) ImageDraw.Draw(mask).polygon(vertices, outline=1, fill=1) # Convert the mask to a NumPy array mask_arr = np.array(mask) # Find the indices of the non-zero values in the mask array y, x = np.nonzero(mask_arr) # Return the vertices that correspond to the non-zero indices return np.array(list(zip(x, y))) from js import ImageData, Uint8ClampedArray, CanvasRenderingContext2D as Context2d, createObject, pyready from pyodide.ffi import to_js, create_proxy createObject(create_proxy(globals()), "pyodideGlobals") imgWidth = 160 imgHeight = 90 parser = Parser(imgWidth, imgHeight) def init_img(width, height): imgWidth = width imgHeight = height parser = Parser(imgWidth, imgHeight) def get_img(data): for i in range(len(data)): parser.handle_camera_ray_data(data[i]) parser.step() last_packet = data[-1] far_plane = 250 entity_render_distance = float("inf") img = parser.render( True, last_packet.entities, last_packet.vertical_fov, far_plane, entity_render_distance, len(last_packet.entities), ) return to_js(img.convert('RGBA').tobytes()) def draw_img(ctx, data): data = Uint8ClampedArray.new(get_img(data)) image_data = ImageData.new(data, imgWidth, imgHeight) ctx.putImageData(image_data, 0, 0) import asyncio async def main(): _ = await asyncio.gather( pyready() ) asyncio.ensure_future(main())