tx · FQ7yYNetGXubEVV5mVeXw3F2hzsAcB5gEpjEpQivt41C

3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY:  -0.02400000 Waves

2024.06.09 01:21 [3142346] smart account 3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY > SELF 0.00000000 Waves

{
    "type": 13,
    "id": "FQ7yYNetGXubEVV5mVeXw3F2hzsAcB5gEpjEpQivt41C",
    "fee": 2400000,
    "feeAssetId": null,
    "timestamp": 1717885276109,
    "version": 2,
    "chainId": 84,
    "sender": "3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY",
    "senderPublicKey": "2AWdnJuBMzufXSjTvzVcawBQQhnhF1iXR6QNVgwn33oc",
    "proofs": [
        "5rGcCa6eckDsyMhkHVbdUXqWYh4L8grkbYnGFd2CR8HnTPVao69JSYSVvByJKixrSctpSazqVTTt1dZAsgcbg8D4"
    ],
    "script": 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",
    "height": 3142346,
    "applicationStatus": "succeeded",
    "spentComplexity": 0
}

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OldNewDifferences
11 {-# STDLIB_VERSION 7 #-}
22 {-# SCRIPT_TYPE ACCOUNT #-}
33 {-# CONTENT_TYPE DAPP #-}
4-let weights_layer_1 = [[60049, 60073], [41419, 41425]]
4+let weights_layer_1 = [[440, 263, 80, 832, 157, 871, -3443, 6525, 2264, 12134, 1134, -51353, 1832, -2405, 1360, -201, 2238, -3293, 9374, -4494, -12975, -3745, -843], [-1163, -494, 1955, 3825, 6, -5601, 7277, -8068, -11810, -12438, -4556, 3096, 11035, 8171, -84, -1378, -996, -700, -9483, 1683, 2220, 3393, 6036], [459, 1273, 1002, 442, 138, 2885, -65, 5923, -3229, 10063, 1668, -46093, -5033, 3551, -1014, 1830, -5551, 2703, 11366, -2135, -7642, -7329, -264], [1170, 2070, -475, 483, -1680, -4946, 2839, 1968, 3681, 8620, 7629, 558, -16905, -1707, -1496, 7176, -11104, -87, 12690, 1255, -1548, 564, -5317], [3154, 1899, 447, 692, -274, -2727, 1214, 5594, 8318, 13291, 8885, 5056, -5624, 994, -149, -1587, 857, 2640, 16282, 9880, 3222, 261, -6537], [-1149, 55, 1897, 3704, -175, -6504, 4850, -10116, -11023, -8859, -5620, 2234, 14007, 8143, 1670, -1720, -1043, -3636, -9141, 3771, -3228, 3475, 6004], [-1054, 832, 165, 1606, 768, 616, 79, 4333, 155, 6490, 712, -49359, 3982, -2901, -571, -174, 929, -560, 15438, -34830, -12181, -4678, -3369], [-159, -168, 337, 504, 205, 3078, -1034, 5998, -328, 6437, 708, -53601, 2764, -2814, -1226, 107, -1577, 1545, 9615, -4621, -13957, -2408, -1904], [-888, 1990, 896, 1305, -354, 5662, -2660, 5793, 9015, 16293, 6941, -5088, -8168, -7652, 118, 155, 1068, 4302, 14550, -6067, -2319, -7988, -4884], [810, 1690, 254, 996, -163, 18, 2896, -55376, -9581, -3235, -1320, 1806, 861, 3663, 1263, -52455, -12984, -2928, 744, 781, -550, -702, -2671], [940, 147, 589, 855, -20, 1435, -845, 4281, 3621, 11424, -1055, -38307, 1531, -2608, -1227, -1424, 3285, -2988, 15133, 1012, 1063, -1890, -5082], [576, -188, -206, -123, 284, 2081, -896, 10856, 7790, 8463, 6906, -6140, -8164, -2810, -675, 565, 1479, 2437, 13236, -3503, 42, -4829, -6167], [-1915, 2660, 2177, 4562, 1794, -7883, 5765, -9931, -14914, -8032, -6922, 4421, 8786, 5428, -553, -1148, 650, -1942, -11333, -496, 2843, 2110, 5306], [-73, 6231, 2861, 1939, 267, 3346, -2404, 7073, 7450, 14237, 3593, 484, -9579, -4649, 1681, 753, 779, 1172, 15938, 1131, -2178, -2183, -3288], [-306, 2538, 1410, 2470, 60, 4864, -2122, 6555, 8693, 15462, 7011, 234, -10439, -5629, -1635, 3117, 2215, -193, 17919, 1430, -3699, -1846, -3940]]
55 
6-let biases_layer_1 = [-25905, -63563]
6+let biases_layer_1 = [3906, 3401, -259, -1042, -1164, 4297, 3329, 1815, 2801, 1590, 1476, 92, 3394, 1949, 2193]
77 
8-let weights_layer_2 = [[83296, -89714]]
8+let weights_layer_2 = [[19327, -3409, 11264, 6095, 7279, -7313, 20721, 21203, 3092, -41727, 4531, -184, -5261, 4689, 2885], [-20754, 5375, -10888, -8381, -8486, 4371, -21296, -20421, -4720, 42861, -5008, 2014, 3364, -3504, -2111]]
99 
10-let biases_layer_2 = [-38117]
10+let biases_layer_2 = [-827, -1849]
1111 
1212 func linear_forward_1 (input,weights,biases) = {
13-    let weighted_sum1 = ((((input[0] * weights[0][0]) + (input[1] * weights[0][1])) / 10000) + biases[0])
14-    let weighted_sum2 = ((((input[0] * weights[1][0]) + (input[1] * weights[1][1])) / 10000) + biases[1])
13+    let weighted_sum1 = (((((((((((((((((((((((((input[0] * weights[0][0]) + (input[1] * weights[0][1])) + (input[2] * weights[0][2])) + (input[3] * weights[0][3])) + (input[4] * weights[0][4])) + (input[5] * weights[0][5])) + (input[6] * weights[0][6])) + (input[7] * weights[0][7])) + (input[8] * weights[0][8])) + (input[9] * weights[0][9])) + (input[10] * weights[0][10])) + (input[11] * weights[0][11])) + (input[12] * weights[0][12])) + (input[13] * weights[0][13])) + (input[14] * weights[0][14])) + (input[15] * weights[0][15])) + (input[16] * weights[0][16])) + (input[17] * weights[0][17])) + (input[18] * weights[0][18])) + (input[19] * weights[0][19])) + (input[20] * weights[0][20])) + (input[21] * weights[0][21])) + (input[22] * weights[0][22])) / 10000) + biases[0])
14+    let weighted_sum2 = (((((((((((((((((((((((((input[0] * weights[1][0]) + (input[1] * weights[1][1])) + (input[2] * weights[1][2])) + (input[3] * weights[1][3])) + (input[4] * weights[1][4])) + (input[5] * weights[1][5])) + (input[6] * weights[1][6])) + (input[7] * weights[1][7])) + (input[8] * weights[1][8])) + (input[9] * weights[1][9])) + (input[10] * weights[1][10])) + (input[11] * weights[1][11])) + (input[12] * weights[1][12])) + (input[13] * weights[1][13])) + (input[14] * weights[1][14])) + (input[15] * weights[1][15])) + (input[16] * weights[1][16])) + (input[17] * weights[1][17])) + (input[18] * weights[1][18])) + (input[19] * weights[1][19])) + (input[20] * weights[1][20])) + (input[21] * weights[1][21])) + (input[22] * weights[1][22])) / 10000) + biases[1])
15+    let weighted_sum3 = (((((((((((((((((((((((((input[0] * weights[2][0]) + (input[1] * weights[2][1])) + (input[2] * weights[2][2])) + (input[3] * weights[2][3])) + (input[4] * weights[2][4])) + (input[5] * weights[2][5])) + (input[6] * weights[2][6])) + (input[7] * weights[2][7])) + (input[8] * weights[2][8])) + (input[9] * weights[2][9])) + (input[10] * weights[2][10])) + (input[11] * weights[2][11])) + (input[12] * weights[2][12])) + (input[13] * weights[2][13])) + (input[14] * weights[2][14])) + (input[15] * weights[2][15])) + (input[16] * weights[2][16])) + (input[17] * weights[2][17])) + (input[18] * weights[2][18])) + (input[19] * weights[2][19])) + (input[20] * weights[2][20])) + (input[21] * weights[2][21])) + (input[22] * weights[2][22])) / 10000) + biases[2])
16+    let weighted_sum4 = (((((((((((((((((((((((((input[0] * weights[3][0]) + (input[1] * weights[3][1])) + (input[2] * weights[3][2])) + (input[3] * weights[3][3])) + (input[4] * weights[3][4])) + (input[5] * weights[3][5])) + (input[6] * weights[3][6])) + (input[7] * weights[3][7])) + (input[8] * weights[3][8])) + (input[9] * weights[3][9])) + (input[10] * weights[3][10])) + (input[11] * weights[3][11])) + (input[12] * weights[3][12])) + (input[13] * weights[3][13])) + (input[14] * weights[3][14])) + (input[15] * weights[3][15])) + (input[16] * weights[3][16])) + (input[17] * weights[3][17])) + (input[18] * weights[3][18])) + (input[19] * weights[3][19])) + (input[20] * weights[3][20])) + (input[21] * weights[3][21])) + (input[22] * weights[3][22])) / 10000) + biases[3])
17+    let weighted_sum5 = (((((((((((((((((((((((((input[0] * weights[4][0]) + (input[1] * weights[4][1])) + (input[2] * weights[4][2])) + (input[3] * weights[4][3])) + (input[4] * weights[4][4])) + (input[5] * weights[4][5])) + (input[6] * weights[4][6])) + (input[7] * weights[4][7])) + (input[8] * weights[4][8])) + (input[9] * weights[4][9])) + (input[10] * weights[4][10])) + (input[11] * weights[4][11])) + (input[12] * weights[4][12])) + (input[13] * weights[4][13])) + (input[14] * weights[4][14])) + (input[15] * weights[4][15])) + (input[16] * weights[4][16])) + (input[17] * weights[4][17])) + (input[18] * weights[4][18])) + (input[19] * weights[4][19])) + (input[20] * weights[4][20])) + (input[21] * weights[4][21])) + (input[22] * weights[4][22])) / 10000) + biases[4])
18+    let weighted_sum6 = (((((((((((((((((((((((((input[0] * weights[5][0]) + (input[1] * weights[5][1])) + (input[2] * weights[5][2])) + (input[3] * weights[5][3])) + (input[4] * weights[5][4])) + (input[5] * weights[5][5])) + (input[6] * weights[5][6])) + (input[7] * weights[5][7])) + (input[8] * weights[5][8])) + (input[9] * weights[5][9])) + (input[10] * weights[5][10])) + (input[11] * weights[5][11])) + (input[12] * weights[5][12])) + (input[13] * weights[5][13])) + (input[14] * weights[5][14])) + (input[15] * weights[5][15])) + (input[16] * weights[5][16])) + (input[17] * weights[5][17])) + (input[18] * weights[5][18])) + (input[19] * weights[5][19])) + (input[20] * weights[5][20])) + (input[21] * weights[5][21])) + (input[22] * weights[5][22])) / 10000) + biases[5])
19+    let weighted_sum7 = (((((((((((((((((((((((((input[0] * weights[6][0]) + (input[1] * weights[6][1])) + (input[2] * weights[6][2])) + (input[3] * weights[6][3])) + (input[4] * weights[6][4])) + (input[5] * weights[6][5])) + (input[6] * weights[6][6])) + (input[7] * weights[6][7])) + (input[8] * weights[6][8])) + (input[9] * weights[6][9])) + (input[10] * weights[6][10])) + (input[11] * weights[6][11])) + (input[12] * weights[6][12])) + (input[13] * weights[6][13])) + (input[14] * weights[6][14])) + (input[15] * weights[6][15])) + (input[16] * weights[6][16])) + (input[17] * weights[6][17])) + (input[18] * weights[6][18])) + (input[19] * weights[6][19])) + (input[20] * weights[6][20])) + (input[21] * weights[6][21])) + (input[22] * weights[6][22])) / 10000) + biases[6])
20+    let weighted_sum8 = (((((((((((((((((((((((((input[0] * weights[7][0]) + (input[1] * weights[7][1])) + (input[2] * weights[7][2])) + (input[3] * weights[7][3])) + (input[4] * weights[7][4])) + (input[5] * weights[7][5])) + (input[6] * weights[7][6])) + (input[7] * weights[7][7])) + (input[8] * weights[7][8])) + (input[9] * weights[7][9])) + (input[10] * weights[7][10])) + (input[11] * weights[7][11])) + (input[12] * weights[7][12])) + (input[13] * weights[7][13])) + (input[14] * weights[7][14])) + (input[15] * weights[7][15])) + (input[16] * weights[7][16])) + (input[17] * weights[7][17])) + (input[18] * weights[7][18])) + (input[19] * weights[7][19])) + (input[20] * weights[7][20])) + (input[21] * weights[7][21])) + (input[22] * weights[7][22])) / 10000) + biases[7])
21+    let weighted_sum9 = (((((((((((((((((((((((((input[0] * weights[8][0]) + (input[1] * weights[8][1])) + (input[2] * weights[8][2])) + (input[3] * weights[8][3])) + (input[4] * weights[8][4])) + (input[5] * weights[8][5])) + (input[6] * weights[8][6])) + (input[7] * weights[8][7])) + (input[8] * weights[8][8])) + (input[9] * weights[8][9])) + (input[10] * weights[8][10])) + (input[11] * weights[8][11])) + (input[12] * weights[8][12])) + (input[13] * weights[8][13])) + (input[14] * weights[8][14])) + (input[15] * weights[8][15])) + (input[16] * weights[8][16])) + (input[17] * weights[8][17])) + (input[18] * weights[8][18])) + (input[19] * weights[8][19])) + (input[20] * weights[8][20])) + (input[21] * weights[8][21])) + (input[22] * weights[8][22])) / 10000) + biases[8])
22+    let weighted_sum10 = (((((((((((((((((((((((((input[0] * weights[9][0]) + (input[1] * weights[9][1])) + (input[2] * weights[9][2])) + (input[3] * weights[9][3])) + (input[4] * weights[9][4])) + (input[5] * weights[9][5])) + (input[6] * weights[9][6])) + (input[7] * weights[9][7])) + (input[8] * weights[9][8])) + (input[9] * weights[9][9])) + (input[10] * weights[9][10])) + (input[11] * weights[9][11])) + (input[12] * weights[9][12])) + (input[13] * weights[9][13])) + (input[14] * weights[9][14])) + (input[15] * weights[9][15])) + (input[16] * weights[9][16])) + (input[17] * weights[9][17])) + (input[18] * weights[9][18])) + (input[19] * weights[9][19])) + (input[20] * weights[9][20])) + (input[21] * weights[9][21])) + (input[22] * weights[9][22])) / 10000) + biases[9])
23+    let weighted_sum11 = (((((((((((((((((((((((((input[0] * weights[10][0]) + (input[1] * weights[10][1])) + (input[2] * weights[10][2])) + (input[3] * weights[10][3])) + (input[4] * weights[10][4])) + (input[5] * weights[10][5])) + (input[6] * weights[10][6])) + (input[7] * weights[10][7])) + (input[8] * weights[10][8])) + (input[9] * weights[10][9])) + (input[10] * weights[10][10])) + (input[11] * weights[10][11])) + (input[12] * weights[10][12])) + (input[13] * weights[10][13])) + (input[14] * weights[10][14])) + (input[15] * weights[10][15])) + (input[16] * weights[10][16])) + (input[17] * weights[10][17])) + (input[18] * weights[10][18])) + (input[19] * weights[10][19])) + (input[20] * weights[10][20])) + (input[21] * weights[10][21])) + (input[22] * weights[10][22])) / 10000) + biases[10])
24+    let weighted_sum12 = (((((((((((((((((((((((((input[0] * weights[11][0]) + (input[1] * weights[11][1])) + (input[2] * weights[11][2])) + (input[3] * weights[11][3])) + (input[4] * weights[11][4])) + (input[5] * weights[11][5])) + (input[6] * weights[11][6])) + (input[7] * weights[11][7])) + (input[8] * weights[11][8])) + (input[9] * weights[11][9])) + (input[10] * weights[11][10])) + (input[11] * weights[11][11])) + (input[12] * weights[11][12])) + (input[13] * weights[11][13])) + (input[14] * weights[11][14])) + (input[15] * weights[11][15])) + (input[16] * weights[11][16])) + (input[17] * weights[11][17])) + (input[18] * weights[11][18])) + (input[19] * weights[11][19])) + (input[20] * weights[11][20])) + (input[21] * weights[11][21])) + (input[22] * weights[11][22])) / 10000) + biases[11])
25+    let weighted_sum13 = (((((((((((((((((((((((((input[0] * weights[12][0]) + (input[1] * weights[12][1])) + (input[2] * weights[12][2])) + (input[3] * weights[12][3])) + (input[4] * weights[12][4])) + (input[5] * weights[12][5])) + (input[6] * weights[12][6])) + (input[7] * weights[12][7])) + (input[8] * weights[12][8])) + (input[9] * weights[12][9])) + (input[10] * weights[12][10])) + (input[11] * weights[12][11])) + (input[12] * weights[12][12])) + (input[13] * weights[12][13])) + (input[14] * weights[12][14])) + (input[15] * weights[12][15])) + (input[16] * weights[12][16])) + (input[17] * weights[12][17])) + (input[18] * weights[12][18])) + (input[19] * weights[12][19])) + (input[20] * weights[12][20])) + (input[21] * weights[12][21])) + (input[22] * weights[12][22])) / 10000) + biases[12])
26+    let weighted_sum14 = (((((((((((((((((((((((((input[0] * weights[13][0]) + (input[1] * weights[13][1])) + (input[2] * weights[13][2])) + (input[3] * weights[13][3])) + (input[4] * weights[13][4])) + (input[5] * weights[13][5])) + (input[6] * weights[13][6])) + (input[7] * weights[13][7])) + (input[8] * weights[13][8])) + (input[9] * weights[13][9])) + (input[10] * weights[13][10])) + (input[11] * weights[13][11])) + (input[12] * weights[13][12])) + (input[13] * weights[13][13])) + (input[14] * weights[13][14])) + (input[15] * weights[13][15])) + (input[16] * weights[13][16])) + (input[17] * weights[13][17])) + (input[18] * weights[13][18])) + (input[19] * weights[13][19])) + (input[20] * weights[13][20])) + (input[21] * weights[13][21])) + (input[22] * weights[13][22])) / 10000) + biases[13])
27+    let weighted_sum15 = (((((((((((((((((((((((((input[0] * weights[14][0]) + (input[1] * weights[14][1])) + (input[2] * weights[14][2])) + (input[3] * weights[14][3])) + (input[4] * weights[14][4])) + (input[5] * weights[14][5])) + (input[6] * weights[14][6])) + (input[7] * weights[14][7])) + (input[8] * weights[14][8])) + (input[9] * weights[14][9])) + (input[10] * weights[14][10])) + (input[11] * weights[14][11])) + (input[12] * weights[14][12])) + (input[13] * weights[14][13])) + (input[14] * weights[14][14])) + (input[15] * weights[14][15])) + (input[16] * weights[14][16])) + (input[17] * weights[14][17])) + (input[18] * weights[14][18])) + (input[19] * weights[14][19])) + (input[20] * weights[14][20])) + (input[21] * weights[14][21])) + (input[22] * weights[14][22])) / 10000) + biases[14])
28+[weighted_sum1, weighted_sum2, weighted_sum3, weighted_sum4, weighted_sum5, weighted_sum6, weighted_sum7, weighted_sum8, weighted_sum9, weighted_sum10, weighted_sum11, weighted_sum12, weighted_sum13, weighted_sum14, weighted_sum15]
29+    }
30+
31+
32+func linear_forward_2 (input,weights,biases) = {
33+    let weighted_sum1 = (((((((((((((((((input[0] * weights[0][0]) + (input[1] * weights[0][1])) + (input[2] * weights[0][2])) + (input[3] * weights[0][3])) + (input[4] * weights[0][4])) + (input[5] * weights[0][5])) + (input[6] * weights[0][6])) + (input[7] * weights[0][7])) + (input[8] * weights[0][8])) + (input[9] * weights[0][9])) + (input[10] * weights[0][10])) + (input[11] * weights[0][11])) + (input[12] * weights[0][12])) + (input[13] * weights[0][13])) + (input[14] * weights[0][14])) / 10000) + biases[0])
34+    let weighted_sum2 = (((((((((((((((((input[0] * weights[1][0]) + (input[1] * weights[1][1])) + (input[2] * weights[1][2])) + (input[3] * weights[1][3])) + (input[4] * weights[1][4])) + (input[5] * weights[1][5])) + (input[6] * weights[1][6])) + (input[7] * weights[1][7])) + (input[8] * weights[1][8])) + (input[9] * weights[1][9])) + (input[10] * weights[1][10])) + (input[11] * weights[1][11])) + (input[12] * weights[1][12])) + (input[13] * weights[1][13])) + (input[14] * weights[1][14])) / 10000) + biases[1])
1535 [weighted_sum1, weighted_sum2]
1636     }
1737 
1838 
19-func linear_forward_2 (input,weights,biases) = {
20-    let weighted_sum1 = ((((input[0] * weights[0][0]) + (input[1] * weights[0][1])) / 10000) + biases[0])
21-[weighted_sum1]
22-    }
39+func relu (input) = if ((0 > input))
40+    then 0
41+    else input
2342 
2443 
25-func sigmoid (input) = if ((-80000 > input))
26-    then 0
27-    else if ((-60000 > input))
28-        then fraction((input + 80000), 125, 10000)
29-        else if ((-40000 > input))
30-            then fraction((input + 60000), 100, 10000)
31-            else if ((-20000 > input))
32-                then fraction((input + 40000), 75, 10000)
33-                else if ((0 > input))
34-                    then fraction((input + 20000), 50, 10000)
35-                    else if ((20000 > input))
36-                        then (fraction(input, 50, 10000) + 5000)
37-                        else if ((40000 > input))
38-                            then (fraction((input - 20000), 75, 10000) + 7500)
39-                            else if ((60000 > input))
40-                                then (fraction((input - 40000), 100, 10000) + 8750)
41-                                else if ((80000 > input))
42-                                    then (fraction((input - 60000), 125, 10000) + 9375)
43-                                    else 10000
44-
45-
46-func sigmoid_activation (inputs,num_outputs) = if ((num_outputs == 1))
47-    then [sigmoid(inputs[0])]
48-    else [sigmoid(inputs[0]), sigmoid(inputs[1])]
44+func relu_activation (inputs,num_outputs) = [relu(inputs[0]), relu(inputs[1]), relu(inputs[2]), relu(inputs[3]), relu(inputs[4]), relu(inputs[5]), relu(inputs[6]), relu(inputs[7]), relu(inputs[8]), relu(inputs[9]), relu(inputs[10]), relu(inputs[11]), relu(inputs[12]), relu(inputs[13]), relu(inputs[14])]
4945 
5046 
5147 @Callable(i)
52-func predict (inputs) = {
53-    let inputs_scaled = [(inputs[0] * 10000), (inputs[1] * 10000)]
48+func predict_insurance (inputs) = {
49+    let inputs_scaled = [(inputs[0] * 10000), (inputs[1] * 10000), (inputs[2] * 10000), (inputs[3] * 10000), (inputs[4] * 10000), (inputs[5] * 10000), (inputs[6] * 10000), (inputs[7] * 10000), (inputs[8] * 10000), (inputs[9] * 10000), (inputs[10] * 10000), (inputs[11] * 10000), (inputs[12] * 10000), (inputs[13] * 10000), (inputs[14] * 10000), (inputs[15] * 10000), (inputs[16] * 10000), (inputs[17] * 10000), (inputs[18] * 10000), (inputs[19] * 10000), (inputs[20] * 10000), (inputs[21] * 10000), (inputs[22] * 10000)]
5450     let z1 = linear_forward_1(inputs_scaled, weights_layer_1, biases_layer_1)
55-    let a1 = sigmoid_activation(z1, 2)
51+    let a1 = relu_activation(z1, 15)
5652     let z2 = linear_forward_2(a1, weights_layer_2, biases_layer_2)
57-    let a2 = sigmoid_activation(z2, 1)
53+    let a2 = z2
5854     let result0 = a2[0]
55+    let result1 = a2[1]
5956     let debug_outputs = nil
60-    ([IntegerEntry("move_prediction_0", result0)] ++ debug_outputs)
57+    ([IntegerEntry("move_prediction_0", result0), IntegerEntry("move_prediction_1", result1)] ++ debug_outputs)
6158     }
6259 
6360 
github/deemru/w8io/169f3d6 
88.64 ms ◑