2024.04.15 23:04 [3064337] smart account 3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY > SELF 0.00000000 Waves

{
    "type": 13,
    "id": "M1cUmR4buw3m1ApiJjeGXmKDuNfXDeYV5g723kcmemh",
    "fee": 1000000,
    "feeAssetId": null,
    "timestamp": 1713211540219,
    "version": 2,
    "chainId": 84,
    "sender": "3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY",
    "senderPublicKey": "2AWdnJuBMzufXSjTvzVcawBQQhnhF1iXR6QNVgwn33oc",
    "proofs": [
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    ],
    "script": "base64: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",
    "height": 3064337,
    "applicationStatus": "succeeded",
    "spentComplexity": 0
}

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Diff: 
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Differences
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{-# STDLIB_VERSION 5 #-}
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2
 
{-# SCRIPT_TYPE ACCOUNT #-}
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3
 
{-# CONTENT_TYPE DAPP #-}
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-
let layer1Weights = [[600497, 600733], [414197, 414253]]
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+
let layer1Weights = [[600496, 600732], [414196, 414252]]
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let layer1Biases = [-259050, -635637]
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let layer2Weights = [[832966, -897142]]
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+
let layer2Weights = [[832965, -897141]]
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let layer2Biases = [-381179]
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let layer2Biases = [-381178]
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func sigmoid (z,debugPrefix) = {
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    let e = 2718281
Full: 
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New
Differences
1
1
 
{-# STDLIB_VERSION 5 #-}
2
2
 
{-# SCRIPT_TYPE ACCOUNT #-}
3
3
 
{-# CONTENT_TYPE DAPP #-}
4
-
let layer1Weights = [[600497, 600733], [414197, 414253]]
4
+
let layer1Weights = [[600496, 600732], [414196, 414252]]
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5
 
6
6
 
let layer1Biases = [-259050, -635637]
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7
 
8
-
let layer2Weights = [[832966, -897142]]
8
+
let layer2Weights = [[832965, -897141]]
9
9
 
10
-
let layer2Biases = [-381179]
10
+
let layer2Biases = [-381178]
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11
 
12
12
 
func sigmoid (z,debugPrefix) = {
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    let e = 2718281
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    let base = 1000000
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    let positiveZ = if ((0 > z))
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        then -(z)
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        else z
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    let expPart = fraction(e, base, positiveZ)
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    let sigValue = fraction(base, base, (base + expPart))
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    $Tuple2([IntegerEntry((debugPrefix + "positiveZ"), positiveZ), IntegerEntry((debugPrefix + "expPart"), expPart), IntegerEntry((debugPrefix + "sigValue"), sigValue)], sigValue)
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    }
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func forwardPassLayer1 (input,weights,biases,debugPrefix) = {
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    let sum0 = ((fraction(input[0], weights[0][0], 1000000) + fraction(input[1], weights[0][1], 1000000)) + biases[0])
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    let sum1 = ((fraction(input[0], weights[1][0], 1000000) + fraction(input[1], weights[1][1], 1000000)) + biases[1])
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    let $t011721218 = sigmoid(sum0, "Layer1N0")
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    let debug0 = $t011721218._1
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    let sig0 = $t011721218._2
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    let $t012231269 = sigmoid(sum1, "Layer1N1")
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    let debug1 = $t012231269._1
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    let sig1 = $t012231269._2
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    $Tuple2([sig0, sig1], (debug0 ++ debug1))
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    }
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func forwardPassLayer2 (input,weights,biases,debugPrefix) = {
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    let sum0 = ((fraction(input[0], weights[0][0], 1000000) + fraction(input[1], weights[0][1], 1000000)) + biases[0])
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    let $t015381584 = sigmoid(sum0, "Layer2N0")
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    let debug0 = $t015381584._1
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    let sig0 = $t015381584._2
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    $Tuple2([sig0], debug0)
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    }
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@Callable(i)
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func predict (input1,input2) = {
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    let scaledInput1 = if ((input1 == 1))
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        then 1000000
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        else 0
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    let scaledInput2 = if ((input2 == 1))
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        then 1000000
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        else 0
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    let inputs = [scaledInput1, scaledInput2]
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    let $t018371935 = forwardPassLayer1(inputs, layer1Weights, layer1Biases, "Layer1")
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    let layer1Output = $t018371935._1
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    let debugLayer1 = $t018371935._2
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    let $t019402044 = forwardPassLayer2(layer1Output, layer2Weights, layer2Biases, "Layer2")
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    let layer2Output = $t019402044._1
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    let debugLayer2 = $t019402044._2
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    (([IntegerEntry("result", layer2Output[0])] ++ debugLayer1) ++ debugLayer2)
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    }
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github/deemru/w8io/786bc32 
28.33 ms ◑