tx · FYY5e1t899S1xjoEgphoEeWuywfGRLTVAt65iBN8Pxv9

3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY:  -0.01000000 Waves

2024.05.26 22:09 [3123362] smart account 3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY > SELF 0.00000000 Waves

{
    "type": 13,
    "id": "FYY5e1t899S1xjoEgphoEeWuywfGRLTVAt65iBN8Pxv9",
    "fee": 1000000,
    "feeAssetId": null,
    "timestamp": 1716750539690,
    "version": 2,
    "chainId": 84,
    "sender": "3N3n75UqB8G1GKmXFr4zPhKCjGcqJPRSuJY",
    "senderPublicKey": "2AWdnJuBMzufXSjTvzVcawBQQhnhF1iXR6QNVgwn33oc",
    "proofs": [
        "2qdkweuCvzG2Nn3VHBtU7C799U9TLti6Bdr5x1WtDec1HvGkuLeV4XBtGzwZ4qyXQuHTh7xvHHWcsx36b5Fp9msH"
    ],
    "script": "base64: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",
    "height": 3123362,
    "applicationStatus": "succeeded",
    "spentComplexity": 0
}

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Diff: 
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New
Differences
16
16
 
    }
17
17
 
18
18
 
19
-
func k (f) = if ((-10000 > f))
19
+
func k (f,g,h) = {
20
+
    let i = ((((f[0] * g[0][0]) + (f[1] * g[0][1])) / 10000) + h[0])
21
+
[i]
22
+
    }
23
+
24
+
25
+
func l (f) = if ((-10000 > f))
20
26
 
    then 0
21
27
 
    else if ((f > 10000))
22
28
 
        then 10000
23
29
 
        else (5000 + (f / 2))
24
30
 
25
31
 
26
-
func l (m) = [k(m[0]), k(m[1])]
32
+
func m (n) = [l(n[0])]
27
33
 
28
34
 
29
-
@Callable(n)
30
-
func predict (o,p) = {
31
-
    let q = (o * 10000)
35
+
@Callable(o)
36
+
func predict (p,q) = {
32
37
 
    let r = (p * 10000)
33
-
    let m = [q, r]
34
-
    let s = e(m, a, b)
35
-
    let t = l(s)
36
-
    let u = ((((t[0] * c[0][0]) + (t[1] * c[0][1])) / 10000) + d[0])
37
-
    let v = k(u)
38
-
    let w = (v / 10000)
39
-
    let x = [IntegerEntry("debug_z1_1", s[0]), IntegerEntry("debug_a1_1", t[0]), IntegerEntry("debug_z1_2", s[1]), IntegerEntry("debug_a1_2", t[1]), IntegerEntry("debug_a2", v), IntegerEntry("debug_z2", u), IntegerEntry("debug_result", w)]
40
-
    $Tuple2(x, w)
38
+
    let s = (q * 10000)
39
+
    let n = [r, s]
40
+
    let t = e(n, a, b)
41
+
    let u = m(t)
42
+
    let v = k(u, c, d)
43
+
    let w = l(v[0])
44
+
    let x = (w / 10000)
45
+
    let y = nil
46
+
    $Tuple2(y, x)
41
47
 
    }
42
48
 
43
49
 

Full: 
Old
New
Differences
1
1
 
{-# STDLIB_VERSION 7 #-}
2
2
 
{-# SCRIPT_TYPE ACCOUNT #-}
3
3
 
{-# CONTENT_TYPE DAPP #-}
4
4
 
let a = [[60049, 60073], [41419, 41425]]
5
5
 
6
6
 
let b = [-25905, -63563]
7
7
 
8
8
 
let c = [[83296, -89714]]
9
9
 
10
10
 
let d = [-38117]
11
11
 
12
12
 
func e (f,g,h) = {
13
13
 
    let i = ((((f[0] * g[0][0]) + (f[1] * g[0][1])) / 10000) + h[0])
14
14
 
    let j = ((((f[0] * g[1][0]) + (f[1] * g[1][1])) / 10000) + h[1])
15
15
 
[i, j]
16
16
 
    }
17
17
 
18
18
 
19
-
func k (f) = if ((-10000 > f))
19
+
func k (f,g,h) = {
20
+
    let i = ((((f[0] * g[0][0]) + (f[1] * g[0][1])) / 10000) + h[0])
21
+
[i]
22
+
    }
23
+
24
+
25
+
func l (f) = if ((-10000 > f))
20
26
 
    then 0
21
27
 
    else if ((f > 10000))
22
28
 
        then 10000
23
29
 
        else (5000 + (f / 2))
24
30
 
25
31
 
26
-
func l (m) = [k(m[0]), k(m[1])]
32
+
func m (n) = [l(n[0])]
27
33
 
28
34
 
29
-
@Callable(n)
30
-
func predict (o,p) = {
31
-
    let q = (o * 10000)
35
+
@Callable(o)
36
+
func predict (p,q) = {
32
37
 
    let r = (p * 10000)
33
-
    let m = [q, r]
34
-
    let s = e(m, a, b)
35
-
    let t = l(s)
36
-
    let u = ((((t[0] * c[0][0]) + (t[1] * c[0][1])) / 10000) + d[0])
37
-
    let v = k(u)
38
-
    let w = (v / 10000)
39
-
    let x = [IntegerEntry("debug_z1_1", s[0]), IntegerEntry("debug_a1_1", t[0]), IntegerEntry("debug_z1_2", s[1]), IntegerEntry("debug_a1_2", t[1]), IntegerEntry("debug_a2", v), IntegerEntry("debug_z2", u), IntegerEntry("debug_result", w)]
40
-
    $Tuple2(x, w)
38
+
    let s = (q * 10000)
39
+
    let n = [r, s]
40
+
    let t = e(n, a, b)
41
+
    let u = m(t)
42
+
    let v = k(u, c, d)
43
+
    let w = l(v[0])
44
+
    let x = (w / 10000)
45
+
    let y = nil
46
+
    $Tuple2(y, x)
41
47
 
    }
42
48
 
43
49
 

github/deemru/w8io/169f3d6 
21.33 ms ◑