tx · C3g1BvwA7tVar5cyBNFrmnosWH6rA7YinsgTMkTqsy1h

3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY:  -0.01000000 Waves

2024.06.09 00:56 [3142324] smart account 3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY > SELF 0.00000000 Waves

{
    "type": 13,
    "id": "C3g1BvwA7tVar5cyBNFrmnosWH6rA7YinsgTMkTqsy1h",
    "fee": 1000000,
    "feeAssetId": null,
    "timestamp": 1717883759297,
    "version": 2,
    "chainId": 84,
    "sender": "3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY",
    "senderPublicKey": "2AWdnJuBMzufXSjTvzVcawBQQhnhF1iXR6QNVgwn33oc",
    "proofs": [
        "4ndFbGBGvjP35Yue1AA12TPetFNx2cesWsaDmXM9gVdf6UW1ChEfoLNJfScTrrsgfpLoctqdaR5G9YaUKjPwr3JZ"
    ],
    "script": "base64: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",
    "height": 3142324,
    "applicationStatus": "succeeded",
    "spentComplexity": 0
}

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{-# STDLIB_VERSION 7 #-}
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{-# SCRIPT_TYPE ACCOUNT #-}
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{-# CONTENT_TYPE DAPP #-}
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let weights_layer_1 = [[60049, 60073], [41419, 41425]]
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let biases_layer_1 = [-25905, -63563]
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let weights_layer_2 = [[83296, -89714]]
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let biases_layer_2 = [-38117]
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func linear_forward_1 (input,weights,biases) = {
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    let weighted_sum1 = ((((input[0] * weights[0][0]) + (input[1] * weights[0][1])) / 10000) + biases[0])
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    let weighted_sum2 = ((((input[0] * weights[1][0]) + (input[1] * weights[1][1])) / 10000) + biases[1])
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[weighted_sum1, weighted_sum2]
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    }
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func linear_forward_2 (input,weights,biases) = {
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    let weighted_sum1 = ((((input[0] * weights[0][0]) + (input[1] * weights[0][1])) / 10000) + biases[0])
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[weighted_sum1]
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    }
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func sigmoid (input) = if ((-80000 > input))
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    then 0
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    else if ((-60000 > input))
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        then fraction((input + 80000), 125, 10000)
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        else if ((-40000 > input))
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            then fraction((input + 60000), 100, 10000)
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            else if ((-20000 > input))
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                then fraction((input + 40000), 75, 10000)
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                else if ((0 > input))
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                    then fraction((input + 20000), 50, 10000)
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                    else if ((20000 > input))
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                        then (fraction(input, 50, 10000) + 5000)
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                        else if ((40000 > input))
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                            then (fraction((input - 20000), 75, 10000) + 7500)
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                            else if ((60000 > input))
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                                then (fraction((input - 40000), 100, 10000) + 8750)
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                                else if ((80000 > input))
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                                    then (fraction((input - 60000), 125, 10000) + 9375)
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                                    else 10000
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func sigmoid_activation (inputs,num_outputs) = if ((num_outputs == 1))
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    then [sigmoid(inputs[0])]
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    else [sigmoid(inputs[0]), sigmoid(inputs[1])]
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@Callable(i)
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func predict (inputs) = {
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    let inputs_scaled = [(inputs[0] * 10000), (inputs[1] * 10000)]
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    let z1 = linear_forward_1(inputs_scaled, weights_layer_1, biases_layer_1)
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    let a1 = sigmoid_activation(z1, 2)
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    let z2 = linear_forward_2(a1, weights_layer_2, biases_layer_2)
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    let a2 = sigmoid_activation(z2, 1)
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    let result0 = a2[0]
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    let debug_outputs = nil
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    ([IntegerEntry("move_prediction_0", result0)] ++ debug_outputs)
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    }
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github/deemru/w8io/026f985 
28.69 ms ◑