fraggler.ladders
1import numpy as np 2 3LADDERS = { 4 "LIZ": { 5 "sizes": np.array( 6 [ 7 20, 8 40, 9 60, 10 80, 11 100, 12 114, 13 120, 14 140, 15 160, 16 180, 17 200, 18 214, 19 220, 20 240, 21 260, 22 280, 23 300, 24 314, 25 320, 26 340, 27 360, 28 380, 29 400, 30 414, 31 420, 32 440, 33 460, 34 480, 35 500, 36 514, 37 520, 38 540, 39 560, 40 580, 41 600, 42 ] 43 ), 44 }, 45 "ROX": { 46 "sizes": np.array( 47 [ 48 79, 49 90, 50 105, 51 131, 52 151, 53 182, 54 201, 55 254, 56 306, 57 337, 58 362, 59 425, 60 486, 61 509, 62 560, 63 598, 64 674, 65 739, 66 799, 67 902, 68 1007, 69 ] 70 ), 71 }, 72 "ORANGE": { 73 "sizes": np.array( 74 [ 75 73, 76 88, 77 123, 78 148, 79 173, 80 198, 81 223, 82 248, 83 273, 84 298, 85 324, 86 349, 87 373, 88 398, 89 423, 90 448, 91 470, 92 495, 93 520, 94 545, 95 555, 96 ] 97 ), 98 }, 99 "ROX500": { 100 "sizes": np.array( 101 [ 102 75, 103 100, 104 139, 105 150, 106 160, 107 200, 108 250, 109 300, 110 340, 111 350, 112 400, 113 450, 114 490, 115 500, 116 ] 117 ), 118 }, 119}
LADDERS =
{'LIZ': {'sizes': array([ 20, 40, 60, 80, 100, 114, 120, 140, 160, 180, 200, 214, 220,
240, 260, 280, 300, 314, 320, 340, 360, 380, 400, 414, 420, 440,
460, 480, 500, 514, 520, 540, 560, 580, 600])}, 'ROX': {'sizes': array([ 79, 90, 105, 131, 151, 182, 201, 254, 306, 337, 362,
425, 486, 509, 560, 598, 674, 739, 799, 902, 1007])}, 'ORANGE': {'sizes': array([ 73, 88, 123, 148, 173, 198, 223, 248, 273, 298, 324, 349, 373,
398, 423, 448, 470, 495, 520, 545, 555])}, 'ROX500': {'sizes': array([ 75, 100, 139, 150, 160, 200, 250, 300, 340, 350, 400, 450, 490,
500])}}