tx · Caw5hteY6VE5wJWUtbXE6eTkgJhAS89NUjyTEgyWD7vy

3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY:  -0.01000000 Waves

2024.04.28 15:03 [3082685] smart account 3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY > SELF 0.00000000 Waves

{
    "type": 13,
    "id": "Caw5hteY6VE5wJWUtbXE6eTkgJhAS89NUjyTEgyWD7vy",
    "fee": 1000000,
    "feeAssetId": null,
    "timestamp": 1714305832290,
    "version": 2,
    "chainId": 84,
    "sender": "3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY",
    "senderPublicKey": "2AWdnJuBMzufXSjTvzVcawBQQhnhF1iXR6QNVgwn33oc",
    "proofs": [
        "4VHqqiNJ6rQpQmyU7qtsUDCNjoVgwnXgbEa4h8qXjSjtbAGTaSQorPzdaGWujYTtvKyzP7mC9rzbn94v7XFxmgiw"
    ],
    "script": "base64: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",
    "height": 3082685,
    "applicationStatus": "succeeded",
    "spentComplexity": 0
}

View: original | compacted
Prev: BM99xHVxdCc9EqbXsCkM7ZWSZhTJvHtirzap69CgHG6L
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Diff: 
Old
New
Differences
1
1
 
{-# STDLIB_VERSION 5 #-}
2
2
 
{-# SCRIPT_TYPE ACCOUNT #-}
3
3
 
{-# CONTENT_TYPE DAPP #-}
4
-
let a = [[600497, 600733], [414197, 414253]]
4
+
let a = [[600497, 600732], [414197, 414253]]
5
5
 
6
-
let b = [-259050, -635638]
6
+
let b = [-259050, -635637]
7
7
 
8
8
 
let c = [[832966, -897142]]
9
9
 

Full: 
Old
New
Differences
1
1
 
{-# STDLIB_VERSION 5 #-}
2
2
 
{-# SCRIPT_TYPE ACCOUNT #-}
3
3
 
{-# CONTENT_TYPE DAPP #-}
4
-
let a = [[600497, 600733], [414197, 414253]]
4
+
let a = [[600497, 600732], [414197, 414253]]
5
5
 
6
-
let b = [-259050, -635638]
6
+
let b = [-259050, -635637]
7
7
 
8
8
 
let c = [[832966, -897142]]
9
9
 
10
10
 
let d = [-381179]
11
11
 
12
12
 
func e (f) = {
13
13
 
    let g = fraction(f, 1, 1000)
14
14
 
    let h = fraction(g, g, 1000)
15
15
 
    let i = (1000 - g)
16
16
 
    let j = fraction(h, 500, 1)
17
17
 
    (i + j)
18
18
 
    }
19
19
 
20
20
 
21
21
 
func k (l,m) = {
22
22
 
    let n = e(-(l))
23
23
 
    let o = (1000 + n)
24
24
 
    let p = fraction(1000, o, 1)
25
25
 
    $Tuple2([IntegerEntry((m + "inputZ"), l), IntegerEntry((m + "expNegZ"), n), IntegerEntry((m + "onePlusExpNegZ"), o), IntegerEntry((m + "sigValue"), p)], p)
26
26
 
    }
27
27
 
28
28
 
29
29
 
func q (r,s,t,m) = {
30
30
 
    let u = (((r[0] * s[0][0]) + (r[1] * s[0][1])) + t[0])
31
31
 
    let v = (((r[0] * s[1][0]) + (r[1] * s[1][1])) + t[1])
32
32
 
    let w = k(u, "Layer1N0")
33
33
 
    let x = w._1
34
34
 
    let y = w._2
35
35
 
    let z = k(v, "Layer1N1")
36
36
 
    let A = z._1
37
37
 
    let B = z._2
38
38
 
    let C = (x ++ A)
39
39
 
    let D = [y, B]
40
40
 
    $Tuple2(C, D)
41
41
 
    }
42
42
 
43
43
 
44
44
 
func E (r,s,t,m) = {
45
45
 
    let u = (((r[0] * s[0][0]) + (r[1] * s[0][1])) + t[0])
46
46
 
    let F = k(u, "Layer2N0")
47
47
 
    let x = F._1
48
48
 
    let y = F._2
49
49
 
    let C = x
50
50
 
    let D = y
51
51
 
    $Tuple2(C, D)
52
52
 
    }
53
53
 
54
54
 
55
55
 
@Callable(G)
56
56
 
func predict (H,I) = {
57
57
 
    let J = if ((H == 1))
58
58
 
        then 1
59
59
 
        else 0
60
60
 
    let K = if ((I == 1))
61
61
 
        then 1
62
62
 
        else 0
63
63
 
    let L = [J, K]
64
64
 
    let M = q(L, a, b, "Layer1")
65
65
 
    let N = M._1
66
66
 
    let O = M._2
67
67
 
    let P = E(O, c, d, "Layer2")
68
68
 
    let Q = P._1
69
69
 
    let R = P._2
70
70
 
    (([IntegerEntry("result", R)] ++ N) ++ Q)
71
71
 
    }
72
72
 
73
73
 

github/deemru/w8io/169f3d6 
26.34 ms ◑