tx · CS21i4va4bE4wpJLLVcMuLnJmUSs6ayZzKEjCtJzd3f3

3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY:  -0.01000000 Waves

2024.04.15 23:00 [3064333] smart account 3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY > SELF 0.00000000 Waves

{ "type": 13, "id": "CS21i4va4bE4wpJLLVcMuLnJmUSs6ayZzKEjCtJzd3f3", "fee": 1000000, "feeAssetId": null, "timestamp": 1713211229821, "version": 2, "chainId": 84, "sender": "3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY", "senderPublicKey": "2AWdnJuBMzufXSjTvzVcawBQQhnhF1iXR6QNVgwn33oc", "proofs": [ "33ijew3F8tZZB8zxehKgwkJDBSrdxVQ1TsTrbr4pfietpGz5BVH5QV6kTxWMrGiWb2VKdWspQEAFwTXjj4igx2cE" ], "script": "base64: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", "height": 3064333, "applicationStatus": "succeeded", "spentComplexity": 0 } View: original | compacted Prev: 7PT7Kpvh7R2ojLzQAxqjD2to4ryUdME3RKSJ8hwMgmYZ Next: M1cUmR4buw3m1ApiJjeGXmKDuNfXDeYV5g723kcmemh Diff:
OldNewDifferences
3535
3636
3737 func y (n,o,p,g) = {
38- let q = ((fraction(n[0], o[0][0], 1000000) + fraction(n[0], o[0][1], 1000000)) + p[0])
39- let r = ((fraction(n[0], o[1][0], 1000000) + fraction(n[0], o[1][1], 1000000)) + p[1])
38+ let q = ((fraction(n[0], o[0][0], 1000000) + fraction(n[1], o[0][1], 1000000)) + p[0])
4039 let z = e(q, "Layer2N0")
4140 let t = z._1
4241 let u = z._2
43- let A = e(r, "Layer2N1")
44- let w = A._1
45- let x = A._2
46- $Tuple2([u, x], (t ++ w))
42+ $Tuple2([u], t)
4743 }
4844
4945
50-@Callable(B)
51-func predict (C,D) = {
46+@Callable(A)
47+func predict (B,C) = {
48+ let D = if ((B == 1))
49+ then 1000000
50+ else 0
5251 let E = if ((C == 1))
5352 then 1000000
5453 else 0
55- let F = if ((D == 1))
56- then 1000000
57- else 0
58- let G = [E, F]
59- let H = m(G, a, b, "Layer1")
60- let I = H._1
61- let J = H._2
62- let K = y(I, c, d, "Layer2")
63- let L = K._1
64- let M = K._2
65- (([IntegerEntry("result", L[0])] ++ J) ++ M)
54+ let F = [D, E]
55+ let G = m(F, a, b, "Layer1")
56+ let H = G._1
57+ let I = G._2
58+ let J = y(H, c, d, "Layer2")
59+ let K = J._1
60+ let L = J._2
61+ (([IntegerEntry("result", K[0])] ++ I) ++ L)
6662 }
6763
6864
Full:
OldNewDifferences
11 {-# STDLIB_VERSION 5 #-}
22 {-# SCRIPT_TYPE ACCOUNT #-}
33 {-# CONTENT_TYPE DAPP #-}
44 let a = [[600497, 600733], [414197, 414253]]
55
66 let b = [-259050, -635637]
77
88 let c = [[832966, -897142]]
99
1010 let d = [-381179]
1111
1212 func e (f,g) = {
1313 let h = 2718281
1414 let i = 1000000
1515 let j = if ((0 > f))
1616 then -(f)
1717 else f
1818 let k = fraction(h, i, j)
1919 let l = fraction(i, i, (i + k))
2020 $Tuple2([IntegerEntry((g + "positiveZ"), j), IntegerEntry((g + "expPart"), k), IntegerEntry((g + "sigValue"), l)], l)
2121 }
2222
2323
2424 func m (n,o,p,g) = {
2525 let q = ((fraction(n[0], o[0][0], 1000000) + fraction(n[1], o[0][1], 1000000)) + p[0])
2626 let r = ((fraction(n[0], o[1][0], 1000000) + fraction(n[1], o[1][1], 1000000)) + p[1])
2727 let s = e(q, "Layer1N0")
2828 let t = s._1
2929 let u = s._2
3030 let v = e(r, "Layer1N1")
3131 let w = v._1
3232 let x = v._2
3333 $Tuple2([u, x], (t ++ w))
3434 }
3535
3636
3737 func y (n,o,p,g) = {
38- let q = ((fraction(n[0], o[0][0], 1000000) + fraction(n[0], o[0][1], 1000000)) + p[0])
39- let r = ((fraction(n[0], o[1][0], 1000000) + fraction(n[0], o[1][1], 1000000)) + p[1])
38+ let q = ((fraction(n[0], o[0][0], 1000000) + fraction(n[1], o[0][1], 1000000)) + p[0])
4039 let z = e(q, "Layer2N0")
4140 let t = z._1
4241 let u = z._2
43- let A = e(r, "Layer2N1")
44- let w = A._1
45- let x = A._2
46- $Tuple2([u, x], (t ++ w))
42+ $Tuple2([u], t)
4743 }
4844
4945
50-@Callable(B)
51-func predict (C,D) = {
46+@Callable(A)
47+func predict (B,C) = {
48+ let D = if ((B == 1))
49+ then 1000000
50+ else 0
5251 let E = if ((C == 1))
5352 then 1000000
5453 else 0
55- let F = if ((D == 1))
56- then 1000000
57- else 0
58- let G = [E, F]
59- let H = m(G, a, b, "Layer1")
60- let I = H._1
61- let J = H._2
62- let K = y(I, c, d, "Layer2")
63- let L = K._1
64- let M = K._2
65- (([IntegerEntry("result", L[0])] ++ J) ++ M)
54+ let F = [D, E]
55+ let G = m(F, a, b, "Layer1")
56+ let H = G._1
57+ let I = G._2
58+ let J = y(H, c, d, "Layer2")
59+ let K = J._1
60+ let L = J._2
61+ (([IntegerEntry("result", K[0])] ++ I) ++ L)
6662 }
6763
6864

github/deemru/w8io/6500d08 
27.77 ms