tx · 7PT7Kpvh7R2ojLzQAxqjD2to4ryUdME3RKSJ8hwMgmYZ

3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY:  -0.01000000 Waves

2024.04.15 22:56 [3064330] smart account 3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY > SELF 0.00000000 Waves

{
    "type": 13,
    "id": "7PT7Kpvh7R2ojLzQAxqjD2to4ryUdME3RKSJ8hwMgmYZ",
    "fee": 1000000,
    "feeAssetId": null,
    "timestamp": 1713210967340,
    "version": 2,
    "chainId": 84,
    "sender": "3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY",
    "senderPublicKey": "2AWdnJuBMzufXSjTvzVcawBQQhnhF1iXR6QNVgwn33oc",
    "proofs": [
        "3Y4MrK6rt95VPbnrQXiieYDrGToNaYJvdfVA4cfaPKwwekavRsMrvz6iWJm7TP4tohjoM2dwfzbuPt8uJQYih15i"
    ],
    "script": "base64:AAIFAAAAAAAAAAgIAhIECgIBAQAAAAcAAAAADWxheWVyMVdlaWdodHMJAARMAAAAAgkABEwAAAACAAAAAAAACSmxCQAETAAAAAIAAAAAAAAJKp0FAAAAA25pbAkABEwAAAACCQAETAAAAAIAAAAAAAAGUfUJAARMAAAAAgAAAAAAAAZSLQUAAAADbmlsBQAAAANuaWwAAAAADGxheWVyMUJpYXNlcwkABEwAAAACAP///////AwWCQAETAAAAAIA///////2TQsFAAAAA25pbAAAAAANbGF5ZXIyV2VpZ2h0cwkABEwAAAACCQAETAAAAAIAAAAAAAAMtcYJAARMAAAAAgD///////JPigUAAAADbmlsBQAAAANuaWwAAAAADGxheWVyMkJpYXNlcwkABEwAAAACAP//////+i8FBQAAAANuaWwBAAAAB3NpZ21vaWQAAAACAAAAAXoAAAALZGVidWdQcmVmaXgEAAAAAWUAAAAAAAApekkEAAAABGJhc2UAAAAAAAAPQkAEAAAACXBvc2l0aXZlWgMJAABmAAAAAgAAAAAAAAAAAAUAAAABegkBAAAAAS0AAAABBQAAAAF6BQAAAAF6BAAAAAdleHBQYXJ0CQAAawAAAAMFAAAAAWUFAAAABGJhc2UFAAAACXBvc2l0aXZlWgQAAAAIc2lnVmFsdWUJAABrAAAAAwUAAAAEYmFzZQUAAAAEYmFzZQkAAGQAAAACBQAAAARiYXNlBQAAAAdleHBQYXJ0CQAFFAAAAAIJAARMAAAAAgkBAAAADEludGVnZXJFbnRyeQAAAAIJAAEsAAAAAgUAAAALZGVidWdQcmVmaXgCAAAACXBvc2l0aXZlWgUAAAAJcG9zaXRpdmVaCQAETAAAAAIJAQAAAAxJbnRlZ2VyRW50cnkAAAACCQABLAAAAAIFAAAAC2RlYnVnUHJlZml4AgAAAAdleHBQYXJ0BQAAAAdleHBQYXJ0CQAETAAAAAIJAQAAAAxJbnRlZ2VyRW50cnkAAAACCQABLAAAAAIFAAAAC2RlYnVnUHJlZml4AgAAAAhzaWdWYWx1ZQUAAAAIc2lnVmFsdWUFAAAAA25pbAUAAAAIc2lnVmFsdWUBAAAAEWZvcndhcmRQYXNzTGF5ZXIxAAAABAAAAAVpbnB1dAAAAAd3ZWlnaHRzAAAABmJpYXNlcwAAAAtkZWJ1Z1ByZWZpeAQAAAAEc3VtMAkAAGQAAAACCQAAZAAAAAIJAABrAAAAAwkAAZEAAAACBQAAAAVpbnB1dAAAAAAAAAAAAAkAAZEAAAACCQABkQAAAAIFAAAAB3dlaWdodHMAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAPQkAJAABrAAAAAwkAAZEAAAACBQAAAAVpbnB1dAAAAAAAAAAAAQkAAZEAAAACCQABkQAAAAIFAAAAB3dlaWdodHMAAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAPQkAJAAGRAAAAAgUAAAAGYmlhc2VzAAAAAAAAAAAABAAAAARzdW0xCQAAZAAAAAIJAABkAAAAAgkAAGsAAAADCQABkQAAAAIFAAAABWlucHV0AAAAAAAAAAAACQABkQAAAAIJAAGRAAAAAgUAAAAHd2VpZ2h0cwAAAAAAAAAAAQAAAAAAAAAAAAAAAAAAAA9CQAkAAGsAAAADCQABkQAAAAIFAAAABWlucHV0AAAAAAAAAAABCQABkQAAAAIJAAGRAAAAAgUAAAAHd2VpZ2h0cwAAAAAAAAAAAQAAAAAAAAAAAQAAAAAAAA9CQAkAAZEAAAACBQAAAAZiaWFzZXMAAAAAAAAAAAEEAAAACyR0MDExNzIxMjE4CQEAAAAHc2lnbW9pZAAAAAIFAAAABHN1bTACAAAACExheWVyMU4wBAAAAAZkZWJ1ZzAIBQAAAAskdDAxMTcyMTIxOAAAAAJfMQQAAAAEc2lnMAgFAAAACyR0MDExNzIxMjE4AAAAAl8yBAAAAAskdDAxMjIzMTI2OQkBAAAAB3NpZ21vaWQAAAACBQAAAARzdW0xAgAAAAhMYXllcjFOMQQAAAAGZGVidWcxCAUAAAALJHQwMTIyMzEyNjkAAAACXzEEAAAABHNpZzEIBQAAAAskdDAxMjIzMTI2OQAAAAJfMgkABRQAAAACCQAETAAAAAIFAAAABHNpZzAJAARMAAAAAgUAAAAEc2lnMQUAAAADbmlsCQAETgAAAAIFAAAABmRlYnVnMAUAAAAGZGVidWcxAQAAABFmb3J3YXJkUGFzc0xheWVyMgAAAAQAAAAFaW5wdXQAAAAHd2VpZ2h0cwAAAAZiaWFzZXMAAAALZGVidWdQcmVmaXgEAAAABHN1bTAJAABkAAAAAgkAAGQAAAACCQAAawAAAAMJAAGRAAAAAgUAAAAFaW5wdXQAAAAAAAAAAAAJAAGRAAAAAgkAAZEAAAACBQAAAAd3ZWlnaHRzAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAD0JACQAAawAAAAMJAAGRAAAAAgUAAAAFaW5wdXQAAAAAAAAAAAAJAAGRAAAAAgkAAZEAAAACBQAAAAd3ZWlnaHRzAAAAAAAAAAAAAAAAAAAAAAABAAAAAAAAD0JACQABkQAAAAIFAAAABmJpYXNlcwAAAAAAAAAAAAQAAAAEc3VtMQkAAGQAAAACCQAAZAAAAAIJAABrAAAAAwkAAZEAAAACBQAAAAVpbnB1dAAAAAAAAAAAAAkAAZEAAAACCQABkQAAAAIFAAAAB3dlaWdodHMAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAPQkAJAABrAAAAAwkAAZEAAAACBQAAAAVpbnB1dAAAAAAAAAAAAAkAAZEAAAACCQABkQAAAAIFAAAAB3dlaWdodHMAAAAAAAAAAAEAAAAAAAAAAAEAAAAAAAAPQkAJAAGRAAAAAgUAAAAGYmlhc2VzAAAAAAAAAAABBAAAAAskdDAxNjUzMTY5OQkBAAAAB3NpZ21vaWQAAAACBQAAAARzdW0wAgAAAAhMYXllcjJOMAQAAAAGZGVidWcwCAUAAAALJHQwMTY1MzE2OTkAAAACXzEEAAAABHNpZzAIBQAAAAskdDAxNjUzMTY5OQAAAAJfMgQAAAALJHQwMTcwNDE3NTAJAQAAAAdzaWdtb2lkAAAAAgUAAAAEc3VtMQIAAAAITGF5ZXIyTjEEAAAABmRlYnVnMQgFAAAACyR0MDE3MDQxNzUwAAAAAl8xBAAAAARzaWcxCAUAAAALJHQwMTcwNDE3NTAAAAACXzIJAAUUAAAAAgkABEwAAAACBQAAAARzaWcwCQAETAAAAAIFAAAABHNpZzEFAAAAA25pbAkABE4AAAACBQAAAAZkZWJ1ZzAFAAAABmRlYnVnMQAAAAEAAAABaQEAAAAHcHJlZGljdAAAAAIAAAAGaW5wdXQxAAAABmlucHV0MgQAAAAMc2NhbGVkSW5wdXQxAwkAAAAAAAACBQAAAAZpbnB1dDEAAAAAAAAAAAEAAAAAAAAPQkAAAAAAAAAAAAAEAAAADHNjYWxlZElucHV0MgMJAAAAAAAAAgUAAAAGaW5wdXQyAAAAAAAAAAABAAAAAAAAD0JAAAAAAAAAAAAABAAAAAZpbnB1dHMJAARMAAAAAgUAAAAMc2NhbGVkSW5wdXQxCQAETAAAAAIFAAAADHNjYWxlZElucHV0MgUAAAADbmlsBAAAAAskdDAyMDE5MjExNwkBAAAAEWZvcndhcmRQYXNzTGF5ZXIxAAAABAUAAAAGaW5wdXRzBQAAAA1sYXllcjFXZWlnaHRzBQAAAAxsYXllcjFCaWFzZXMCAAAABkxheWVyMQQAAAAMbGF5ZXIxT3V0cHV0CAUAAAALJHQwMjAxOTIxMTcAAAACXzEEAAAAC2RlYnVnTGF5ZXIxCAUAAAALJHQwMjAxOTIxMTcAAAACXzIEAAAACyR0MDIxMjIyMjI2CQEAAAARZm9yd2FyZFBhc3NMYXllcjIAAAAEBQAAAAxsYXllcjFPdXRwdXQFAAAADWxheWVyMldlaWdodHMFAAAADGxheWVyMkJpYXNlcwIAAAAGTGF5ZXIyBAAAAAxsYXllcjJPdXRwdXQIBQAAAAskdDAyMTIyMjIyNgAAAAJfMQQAAAALZGVidWdMYXllcjIIBQAAAAskdDAyMTIyMjIyNgAAAAJfMgkABE4AAAACCQAETgAAAAIJAARMAAAAAgkBAAAADEludGVnZXJFbnRyeQAAAAICAAAABnJlc3VsdAkAAZEAAAACBQAAAAxsYXllcjJPdXRwdXQAAAAAAAAAAAAFAAAAA25pbAUAAAALZGVidWdMYXllcjEFAAAAC2RlYnVnTGF5ZXIyAAAAADtkKAw=",
    "height": 3064330,
    "applicationStatus": "succeeded",
    "spentComplexity": 0
}

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Differences
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{-# STDLIB_VERSION 5 #-}
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{-# SCRIPT_TYPE ACCOUNT #-}
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{-# CONTENT_TYPE DAPP #-}
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let a = [[600497, 600733], [414197, 414253]]
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let b = [-259050, -635637]
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let c = [[832966, -897142]]
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let d = [-381179]
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func e (f,g) = {
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    let h = 2718281
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    let i = 1000000
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    let j = if ((0 > f))
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        then -(f)
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        else f
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    let k = fraction(h, i, j)
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    let l = fraction(i, i, (i + k))
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    $Tuple2([IntegerEntry((g + "positiveZ"), j), IntegerEntry((g + "expPart"), k), IntegerEntry((g + "sigValue"), l)], l)
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    }
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func m (n,o,p,g) = {
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    let q = ((fraction(n[0], o[0][0], 1000000) + fraction(n[1], o[0][1], 1000000)) + p[0])
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    let r = ((fraction(n[0], o[1][0], 1000000) + fraction(n[1], o[1][1], 1000000)) + p[1])
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    let s = e(q, "Layer1N0")
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    let t = s._1
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    let u = s._2
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    let v = e(r, "Layer1N1")
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    let w = v._1
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    let x = v._2
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    $Tuple2([u, x], (t ++ w))
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    }
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func y (n,o,p,g) = {
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    let q = ((fraction(n[0], o[0][0], 1000000) + fraction(n[0], o[0][1], 1000000)) + p[0])
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    let r = ((fraction(n[0], o[1][0], 1000000) + fraction(n[0], o[1][1], 1000000)) + p[1])
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    let z = e(q, "Layer2N0")
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    let t = z._1
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    let u = z._2
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    let A = e(r, "Layer2N1")
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    let w = A._1
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    let x = A._2
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    $Tuple2([u, x], (t ++ w))
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    }
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@Callable(B)
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func predict (C,D) = {
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    let E = if ((C == 1))
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        then 1000000
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        else 0
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    let F = if ((D == 1))
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        then 1000000
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        else 0
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    let G = [E, F]
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    let H = m(G, a, b, "Layer1")
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    let I = H._1
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    let J = H._2
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    let K = y(I, c, d, "Layer2")
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    let L = K._1
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    let M = K._2
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    (([IntegerEntry("result", L[0])] ++ J) ++ M)
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    }
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github/deemru/w8io/6500d08 
25.78 ms ◑