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Transaction

5/6/2024 08:49:46 PM
ID: 07ac4f4083...74fe
Inputs (10)
#0
5bb82366bf42...c142
Spent
Address:
Spectrum Finance (Yield Farm)
Output transaction:
0e6d530b4b65...6136
Settlement height:
1,258,746
Value:
0.000522 ERG
Tokens:
Loading assets...
#1
0630036250c5...e65a
Spent
Address:
9htXAzovks4r...XhUh
Output transaction:
0ebdc4fc7f57...a583
Settlement height:
1,258,609
Value:
0.002072 ERG
#2
fe63f098a1d3...b205
Spent
Address:
9htXAzovks4r...XhUh
Output transaction:
d88d11dc2fb4...4c7d
Settlement height:
1,258,063
Value:
0.002588 ERG
#3
25bd6ca6eb79...e9e2
Spent
Address:
9htXAzovks4r...XhUh
Output transaction:
81c5208bab14...8ded
Settlement height:
1,258,046
Value:
2.96 ERG
#4
07ff67dbfae1...363c
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
3504ea9e90c4...a4d1
Settlement height:
1,257,625
Value:
0.000522 ERG
Tokens:
Loading assets...
#5
695d8706f96f...cb6f
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
cce8a6eb797a...70a3
Settlement height:
1,258,043
Value:
0.000522 ERG
Tokens:
Loading assets...
#6
37b9a89594f4...606a
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
cce8a6eb797a...70a3
Settlement height:
1,258,043
Value:
0.000522 ERG
Tokens:
Loading assets...
#7
39f463a7674a...884c
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
cce8a6eb797a...70a3
Settlement height:
1,258,043
Value:
0.000522 ERG
Tokens:
Loading assets...
#8
30669cdfcde0...2a6b
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
cce8a6eb797a...70a3
Settlement height:
1,258,043
Value:
0.000522 ERG
Tokens:
Loading assets...
#9
4ee89f2c8a11...e76c
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
cce8a6eb797a...70a3
Settlement height:
1,258,043
Value:
0.000522 ERG
Tokens:
Loading assets...
Outputs (15)
#0
7cee34a1f33b...26de
Spent
Address:
Spectrum Finance (Yield Farm)
Spent in transaction:
9c4ddb9c0d1f...cf62
Settlement height:
1,258,763
Value:
0.000522 ERG
Tokens:
Loading assets...
#1
17a56df221a2...b136
Spent
Address:
9htXAzovks4r...XhUh
Spent in transaction:
9c4ddb9c0d1f...cf62
Settlement height:
1,258,763
Value:
2.96 ERG
#2
635460d0f5a1...8df0
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
84f705c01e9e...02e7
Settlement height:
1,258,763
Value:
0.000522 ERG
Tokens:
Loading assets...
#3
2e5a56af3005...6c3b
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
84f705c01e9e...02e7
Settlement height:
1,258,763
Value:
0.000522 ERG
Tokens:
Loading assets...
#4
578fc7f52343...1024
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
3fbfa0dbc559...3743
Settlement height:
1,258,763
Value:
0.000522 ERG
Tokens:
Loading assets...
#5
bf34ffdf8ba7...5e04
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
acb4d4db4d4c...70a7
Settlement height:
1,258,763
Value:
0.000522 ERG
Tokens:
Loading assets...
#6
2f73445e6871...0131
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
acb4d4db4d4c...70a7
Settlement height:
1,258,763
Value:
0.000522 ERG
Tokens:
Loading assets...
#7
1f04061a5e83...e9d5
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
cc90e9766c1e...3a5e
Settlement height:
1,258,763
Value:
0.000522 ERG
Tokens:
Loading assets...
#8
5ae424c6d28b...08d0
Spent
Address:
9f39L37bmuC2...2b3x
Spent in transaction:
e280aec63e17...03de
Settlement height:
1,258,763
Value:
0.00025 ERG
Tokens:
Loading assets...
#9
052681b0a891...7425
Spent
Address:
9hYQHGkC8ttr...2Vj2
Spent in transaction:
26bad733cf91...dc37
Settlement height:
1,258,763
Value:
0.00025 ERG
Tokens:
Loading assets...
#10
fae20c6a49e1...8bac
Spent
Address:
9fk3eWrehjBh...xikW
Spent in transaction:
067e681302ec...14e8
Settlement height:
1,258,763
Value:
0.00025 ERG
Tokens:
Loading assets...
#11
fff6883cfda8...d2ca
Spent
Address:
9hKEV6GS6Lz2...Gt5k
Spent in transaction:
d73feb012edc...f5cb
Settlement height:
1,258,763
Value:
0.00025 ERG
Tokens:
Loading assets...
#12
20dfb5d9951f...a15f
Spent
Address:
9gSQstmdWubX...ex8y
Spent in transaction:
29384d06f42d...ef98
Settlement height:
1,258,763
Value:
0.00025 ERG
Tokens:
Loading assets...
#13
42134525da59...2dd1
Spent
Address:
9fr6aBv2gDwf...X3EX
Spent in transaction:
6178d527ce2a...4efc
Settlement height:
1,258,763
Value:
0.00025 ERG
Tokens:
Loading assets...
#14
e80ca21ab929...b945
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
9e1743e2e241...b0d7
Settlement height:
1,258,763
Value:
0.003 ERG
Transaction Details
Status: Confirmed
Size: 7.45 KB
Received time: 5/6/2024 08:49:46 PM
Included in blocks: 1,258,763
Confirmations: 509,874
Total coins transferred: 2.96 ERG
Fees: 0.003 ERG
Fees per byte: 0.000000393 ERG
Raw Transaction Data
{
  "id": "07ac4f408390fe40cad1c255ea41ef49ed2576b70f59d69583c6770ff4a874fe",
  "blockId": "da8a884b740460f66cc5728c3e68833ce8b73f6e18353517d2ccd79977b53ec9",
  "inclusionHeight": 1258763,
  "timestamp": 1715028586227,
  "index": 1,
  "globalIndex": 7156305,
  "numConfirmations": 509874,
  "inputs": [
    {
      "boxId": "5bb82366bf422519cdc43f926ccbdb6490c464f5e313b5acfa2ab334347bc142",
      "value": 522000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "b962c0282cd2d072a907f465480c04574fc100de6147bf13c8b4546218f17445",
      "outputTransactionId": "0e6d530b4b6550970a68f7cd26fe1a6c73ad8afe2671d0e301f25e88a8296136",
      "outputIndex": 0,
      "outputGlobalIndex": 39869280,
      "outputCreatedAt": 1258744,
      "outputSettledAt": 1258746,
      "ergoTree": "19c0062804000400040204020404040404060406040804080404040204000400040204020400040a050005000404040204020e200508f3623d4b2be3bdb9737b3e65644f011167eefb830d9965205f022ceda40d0400040205000402040204060500050005feffffffffffffffff01050005000402060101050005000100d81fd601b2a5730000d602db63087201d603db6308a7d604b27203730100d605e4c6a70410d606e4c6a70505d607e4c6a70605d608b27202730200d609b27203730300d60ab27202730400d60bb27203730500d60cb27202730600d60db27203730700d60e8c720d01d60fb27202730800d610b27203730900d6118c721001d6128c720b02d613998c720a027212d6148c720902d615b27205730a00d6169a99a37215730bd617b27205730c00d6189d72167217d61995919e72167217730d9a7218730e7218d61ab27205730f00d61b7e721a05d61c9d7206721bd61d998c720c028c720d02d61e8c721002d61f998c720f02721ed1ededededed93b272027310007204ededed93e4c672010410720593e4c672010505720693e4c6720106057207928cc77201018cc7a70193c27201c2a7ededed938c7208018c720901938c720a018c720b01938c720c01720e938c720f01721193b172027311959172137312d802d6209c721399721ba273137e721905d621b2a5731400ededed929a7e9972067214067e7207067e9c7e9995907219721a72199a721a7315731605721c06937213f0721d937220f0721fedededed93cbc272217317938602720e7213b2db6308722173180093860272117220b2db63087221731900e6c67221060893e4c67221070e8c720401958f7213731aededec929a7e9972067214067e7207067e9c7e9995907219721a72199a721a731b731c05721c0692a39a9a72159c721a7217b27205731d0093721df0721392721f95917219721a731e9c721d99721ba2731f7e721905d804d620e4c672010704d62199721a7220d6227e722105d62399997320721e9c7212722295ed917223732191721f7322edededed9072209972197323909972149c7222721c9a721c7207907ef0998c7208027214069d9c99997e7214069d9c7e7206067e7221067e721a0673247e721f067e722306937213732593721d73267327",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: 2\n5: 2\n6: 3\n7: 3\n8: 4\n9: 4\n10: 2\n11: 1\n12: 0\n13: 0\n14: 1\n15: 1\n16: 0\n17: 5\n18: 0\n19: 0\n20: 2\n21: 1\n22: 1\n23: Coll(5,8,-13,98,61,75,43,-29,-67,-71,115,123,62,101,100,79,1,17,103,-18,-5,-125,13,-103,101,32,95,2,44,-19,-92,13)\n24: 0\n25: 1\n26: 0\n27: 1\n28: 1\n29: 3\n30: 0\n31: 0\n32: 9223372036854775807\n33: 0\n34: 0\n35: 1\n36: CBigInt(1)\n37: 0\n38: 0\n39: false",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val coll3 = SELF.tokens\n  val tuple4 = coll3(placeholder[Int](1))\n  val coll5 = SELF.R4[Coll[Int]].get\n  val l6 = SELF.R5[Long].get\n  val l7 = SELF.R6[Long].get\n  val tuple8 = coll2(placeholder[Int](2))\n  val tuple9 = coll3(placeholder[Int](3))\n  val tuple10 = coll2(placeholder[Int](4))\n  val tuple11 = coll3(placeholder[Int](5))\n  val tuple12 = coll2(placeholder[Int](6))\n  val tuple13 = coll3(placeholder[Int](7))\n  val coll14 = tuple13._1\n  val tuple15 = coll2(placeholder[Int](8))\n  val tuple16 = coll3(placeholder[Int](9))\n  val coll17 = tuple16._1\n  val l18 = tuple11._2\n  val l19 = tuple10._2 - l18\n  val l20 = tuple9._2\n  val i21 = coll5(placeholder[Int](10))\n  val i22 = HEIGHT - i21 + placeholder[Int](11)\n  val i23 = coll5(placeholder[Int](12))\n  val i24 = i22 / i23\n  val i25 = if (i22 % i23 > placeholder[Int](13)) { i24 + placeholder[Int](14) } else { i24 }\n  val i26 = coll5(placeholder[Int](15))\n  val l27 = i26.toLong\n  val l28 = l6 / l27\n  val l29 = tuple12._2 - tuple13._2\n  val l30 = tuple16._2\n  val l31 = tuple15._2 - l30\n  sigmaProp(\n    (\n      (\n        (\n          (\n            (coll2(placeholder[Int](16)) == tuple4) && (\n              (((box1.R4[Coll[Int]].get == coll5) && (box1.R5[Long].get == l6)) && (box1.R6[Long].get == l7)) && (box1.creationInfo._1 >= SELF.creationInfo._1)\n            )\n          ) && (box1.propositionBytes == SELF.propositionBytes)\n        ) && ((((tuple8._1 == tuple9._1) && (tuple10._1 == tuple11._1)) && (tuple12._1 == coll14)) && (tuple15._1 == coll17))\n      ) && (coll2.size == placeholder[Int](17))\n    ) && if (l19 > placeholder[Long](18)) {(\n      val l32 = l19 * l27 - max(placeholder[Long](19), i25.toLong)\n      val box33 = OUTPUTS(placeholder[Int](20))\n      (\n        (\n          (l6 - l20.toBigInt + l7.toBigInt >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](21) } - placeholder[Int](22).toLong * l28.toBigInt) && (\n            l19 == !l29\n          )\n        ) && (l32 == !l31)\n      ) && (\n        (\n          (\n            ((blake2b256(box33.propositionBytes) == placeholder[Coll[Byte]](23)) && ((coll14, l19) == box33.tokens(placeholder[Int](24)))) && (\n              (coll17, l32) == box33.tokens(placeholder[Int](25))\n            )\n          ) && box33.R6[SigmaProp].isDefined\n        ) && (box33.R7[Coll[Byte]].get == tuple4._1)\n      )\n    )} else {\n      if (l19 < placeholder[Long](26)) {\n        (\n          (\n            (l6 - l20.toBigInt + l7.toBigInt >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](27) } - placeholder[Int](28).toLong * l28.toBigInt) || (\n              HEIGHT >= i21 + i26 * i23 + coll5(placeholder[Int](29))\n            )\n          ) && (l29 == !l19)\n        ) && (l31 >= if (i25 > i26) { placeholder[Long](30) } else { l29 * l27 - max(placeholder[Long](31), i25.toLong) })\n      } else {(\n        val i32 = box1.R7[Int].get\n        val i33 = i26 - i32\n        val l34 = i33.toLong\n        val l35 = placeholder[Long](32) - l30 - l18 * l34\n        if ((l35 > placeholder[Long](33)) && (l31 > placeholder[Long](34))) {\n          (\n            (\n              ((i32 <= i25 - placeholder[Int](35)) && (l20 - l34 * l28 <= l28 + l7)) && (\n                !tuple8._2 - l20.toBigInt <= l20.toBigInt - l6.toBigInt * i33.toBigInt / i26.toBigInt - placeholder[BigInt](36) * l31.toBigInt / l35.toBigInt\n              )\n            ) && (l19 == placeholder[Long](37))\n          ) && (l29 == placeholder[Long](38))\n        } else { placeholder[Boolean](39) }\n      )}\n    }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "998b1c1d2504f9ac79d585137d236fe87721cf8cdc6244eae15915bdeafede0b",
          "index": 0,
          "amount": 1,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0779ec04f2fae64e87418a1ad917639d4668f78484f45df962b0dec14a2591d2",
          "index": 1,
          "amount": 22000006,
          "name": "Mi Goreng ",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "98da76cecb772029cfec3d53727d5ff37d5875691825fbba743464af0c89ce45",
          "index": 2,
          "amount": 1758735358,
          "name": "ERG_Mi Goreng _LP",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "ced64135b73c45d4dbf35acbd2033689f0d1c8e3226b93ff1a399145dac11cb7",
          "index": 3,
          "amount": 9223372035096040000,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "265663f87b6596f2da3a3aa8ca11c3a96490d6f6ad7c1c2954ba636477e8b9b9",
          "index": 4,
          "amount": 9223371998672963000,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1004a00b3cf2ee9801a00b",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[720,30,1252281,720]"
        },
        "R5": {
          "serializedValue": "05808ece1c",
          "sigmaType": "SLong",
          "renderedValue": "30000000"
        },
        "R6": {
          "serializedValue": "0578",
          "sigmaType": "SLong",
          "renderedValue": "60"
        },
        "R7": {
          "serializedValue": "0410",
          "sigmaType": "SInt",
          "renderedValue": "8"
        }
      }
    },
    {
      "boxId": "0630036250c504a15e47248a1567b5a12131f3080e0ecfc6ba5ed7691dc3e65a",
      "value": 2072000,
      "index": 1,
      "spendingProof": "90edbeb437db695610f6e23f58aa6a30706be75208c1480d847c87c510a01bec48f0075d7459df8037f4166cdfaee1858d62ea2915e62887",
      "outputBlockId": "bf251fc73cb56ff361e61419073237676f90f02f55167a6d2efd6466b771e331",
      "outputTransactionId": "0ebdc4fc7f57e36ac0f6f9d30cf5edb6de4b8073421210242808db23074ea583",
      "outputIndex": 2,
      "outputGlobalIndex": 39862089,
      "outputCreatedAt": 1258607,
      "outputSettledAt": 1258609,
      "ergoTree": "0008cd03bbd0a2e82c6c064f5368f1d074c0a2a82e0515d01828019ad79c6c0eda319914",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bbd0a2,d1a4b9,...)))}",
      "address": "9htXAzovks4rYk6DiCqDYowoxoT9ruqLxEsVufVrU3tWDq2XhUh",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "fe63f098a1d32c7d0868f162589984b84f4388110ba99301de1d894f43fcb205",
      "value": 2588000,
      "index": 2,
      "spendingProof": "a304924b1dd68a7bd400d599811a581dc7e1c776405def8541e2920d5313e6ddfbeb3a545297363959129a873054ca3b650b3704b67ce7de",
      "outputBlockId": "41baa0764f4abb8841ca3e88172e7ae843800dc5a9223cd295fd1a12bc342035",
      "outputTransactionId": "d88d11dc2fb48d2462d829127f3e6f40a40a639bb3079a602e79fc5cb2f14c7d",
      "outputIndex": 1,
      "outputGlobalIndex": 39841336,
      "outputCreatedAt": 1258061,
      "outputSettledAt": 1258063,
      "ergoTree": "0008cd03bbd0a2e82c6c064f5368f1d074c0a2a82e0515d01828019ad79c6c0eda319914",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bbd0a2,d1a4b9,...)))}",
      "address": "9htXAzovks4rYk6DiCqDYowoxoT9ruqLxEsVufVrU3tWDq2XhUh",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "25bd6ca6eb79fe4e3b8c7533e00463ce1f1aed5d7240869bbe01e53f8f38e9e2",
      "value": 2955872000,
      "index": 3,
      "spendingProof": "a5c09428881a20791b3ca6d04e253a9e229c1d23fee3788ab5b6ef3fb7ac5de84b08cecdd5d4debe6b81197de25f34b1cbf23b6a041a6e89",
      "outputBlockId": "81eec2b58abc74812cdd78a68a1e518adddf0b3274f4ed9bc78eb4c31129f1f3",
      "outputTransactionId": "81c5208bab149fbf814174affbe5eecd878477a153cd9df34f81bf5d71a18ded",
      "outputIndex": 1,
      "outputGlobalIndex": 39840717,
      "outputCreatedAt": 1258042,
      "outputSettledAt": 1258046,
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      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val coll3 = SELF.R7[Coll[Byte]].get\n  val box4 = INPUTS(placeholder[Int](1))\n  val coll5 = box4.tokens\n  val l6 = coll5(placeholder[Int](2))._2\n  val l7 = coll2(placeholder[Int](3))._2 - l6\n  val prop8 = SELF.R6[SigmaProp].get\n  val coll9 = SELF.tokens\n  val tuple10 = coll9(placeholder[Int](4))\n  val tuple11 = coll5(placeholder[Int](5))\n  val bi12 = placeholder[BigInt](6)\n  val bi13 = placeholder[BigInt](7)\n  sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n      val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n      val opt17 = box1.R8[Int]\n      val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n      val coll19 = coll9(placeholder[Int](11))._1\n      val coll20 = box15.tokens\n      val tuple21 = coll9(placeholder[Int](12))\n      val l22 = tuple21._2\n      val l23 = i18.toLong\n      val l24 = l22 - l23 * tuple10._2\n      val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n      ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n              val tuple26 = coll20(placeholder[Int](16))\n              (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n            )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n        val tuple26 = box14.tokens(placeholder[Int](22))\n        (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n      )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n    )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val coll3 = SELF.R7[Coll[Byte]].get\n  val box4 = INPUTS(placeholder[Int](1))\n  val coll5 = box4.tokens\n  val l6 = coll5(placeholder[Int](2))._2\n  val l7 = coll2(placeholder[Int](3))._2 - l6\n  val prop8 = SELF.R6[SigmaProp].get\n  val coll9 = SELF.tokens\n  val tuple10 = coll9(placeholder[Int](4))\n  val tuple11 = coll5(placeholder[Int](5))\n  val bi12 = placeholder[BigInt](6)\n  val bi13 = placeholder[BigInt](7)\n  sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n      val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n      val opt17 = box1.R8[Int]\n      val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n      val coll19 = coll9(placeholder[Int](11))._1\n      val coll20 = box15.tokens\n      val tuple21 = coll9(placeholder[Int](12))\n      val l22 = tuple21._2\n      val l23 = i18.toLong\n      val l24 = l22 - l23 * tuple10._2\n      val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n      ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n              val tuple26 = coll20(placeholder[Int](16))\n              (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n            )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n        val tuple26 = box14.tokens(placeholder[Int](22))\n        (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n      )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n    )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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  "dataInputs": [],
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      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val coll3 = SELF.tokens\n  val tuple4 = coll3(placeholder[Int](1))\n  val coll5 = SELF.R4[Coll[Int]].get\n  val l6 = SELF.R5[Long].get\n  val l7 = SELF.R6[Long].get\n  val tuple8 = coll2(placeholder[Int](2))\n  val tuple9 = coll3(placeholder[Int](3))\n  val tuple10 = coll2(placeholder[Int](4))\n  val tuple11 = coll3(placeholder[Int](5))\n  val tuple12 = coll2(placeholder[Int](6))\n  val tuple13 = coll3(placeholder[Int](7))\n  val coll14 = tuple13._1\n  val tuple15 = coll2(placeholder[Int](8))\n  val tuple16 = coll3(placeholder[Int](9))\n  val coll17 = tuple16._1\n  val l18 = tuple11._2\n  val l19 = tuple10._2 - l18\n  val l20 = tuple9._2\n  val i21 = coll5(placeholder[Int](10))\n  val i22 = HEIGHT - i21 + placeholder[Int](11)\n  val i23 = coll5(placeholder[Int](12))\n  val i24 = i22 / i23\n  val i25 = if (i22 % i23 > placeholder[Int](13)) { i24 + placeholder[Int](14) } else { i24 }\n  val i26 = coll5(placeholder[Int](15))\n  val l27 = i26.toLong\n  val l28 = l6 / l27\n  val l29 = tuple12._2 - tuple13._2\n  val l30 = tuple16._2\n  val l31 = tuple15._2 - l30\n  sigmaProp(\n    (\n      (\n        (\n          (\n            (coll2(placeholder[Int](16)) == tuple4) && (\n              (((box1.R4[Coll[Int]].get == coll5) && (box1.R5[Long].get == l6)) && (box1.R6[Long].get == l7)) && (box1.creationInfo._1 >= SELF.creationInfo._1)\n            )\n          ) && (box1.propositionBytes == SELF.propositionBytes)\n        ) && ((((tuple8._1 == tuple9._1) && (tuple10._1 == tuple11._1)) && (tuple12._1 == coll14)) && (tuple15._1 == coll17))\n      ) && (coll2.size == placeholder[Int](17))\n    ) && if (l19 > placeholder[Long](18)) {(\n      val l32 = l19 * l27 - max(placeholder[Long](19), i25.toLong)\n      val box33 = OUTPUTS(placeholder[Int](20))\n      (\n        (\n          (l6 - l20.toBigInt + l7.toBigInt >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](21) } - placeholder[Int](22).toLong * l28.toBigInt) && (\n            l19 == !l29\n          )\n        ) && (l32 == !l31)\n      ) && (\n        (\n          (\n            ((blake2b256(box33.propositionBytes) == placeholder[Coll[Byte]](23)) && ((coll14, l19) == box33.tokens(placeholder[Int](24)))) && (\n              (coll17, l32) == box33.tokens(placeholder[Int](25))\n            )\n          ) && box33.R6[SigmaProp].isDefined\n        ) && (box33.R7[Coll[Byte]].get == tuple4._1)\n      )\n    )} else {\n      if (l19 < placeholder[Long](26)) {\n        (\n          (\n            (l6 - l20.toBigInt + l7.toBigInt >= if (i25 <= i26) { i25 } else { i26 + placeholder[Int](27) } - placeholder[Int](28).toLong * l28.toBigInt) || (\n              HEIGHT >= i21 + i26 * i23 + coll5(placeholder[Int](29))\n            )\n          ) && (l29 == !l19)\n        ) && (l31 >= if (i25 > i26) { placeholder[Long](30) } else { l29 * l27 - max(placeholder[Long](31), i25.toLong) })\n      } else {(\n        val i32 = box1.R7[Int].get\n        val i33 = i26 - i32\n        val l34 = i33.toLong\n        val l35 = placeholder[Long](32) - l30 - l18 * l34\n        if ((l35 > placeholder[Long](33)) && (l31 > placeholder[Long](34))) {\n          (\n            (\n              ((i32 <= i25 - placeholder[Int](35)) && (l20 - l34 * l28 <= l28 + l7)) && (\n                !tuple8._2 - l20.toBigInt <= l20.toBigInt - l6.toBigInt * i33.toBigInt / i26.toBigInt - placeholder[BigInt](36) * l31.toBigInt / l35.toBigInt\n              )\n            ) && (l19 == placeholder[Long](37))\n          ) && (l29 == placeholder[Long](38))\n        } else { placeholder[Boolean](39) }\n      )}\n    }\n  )\n}",
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      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val coll3 = SELF.R7[Coll[Byte]].get\n  val box4 = INPUTS(placeholder[Int](1))\n  val coll5 = box4.tokens\n  val l6 = coll5(placeholder[Int](2))._2\n  val l7 = coll2(placeholder[Int](3))._2 - l6\n  val prop8 = SELF.R6[SigmaProp].get\n  val coll9 = SELF.tokens\n  val tuple10 = coll9(placeholder[Int](4))\n  val tuple11 = coll5(placeholder[Int](5))\n  val bi12 = placeholder[BigInt](6)\n  val bi13 = placeholder[BigInt](7)\n  sigmaProp((coll2(placeholder[Int](8))._1 == coll3) && if (l7 == placeholder[Long](9)) {(\n      val box14 = OUTPUTS(getVar[Int](0.toByte).get)\n      val box15 = OUTPUTS(getVar[Int](1.toByte).get)\n      val i16 = box4.R4[Coll[Int]].get(placeholder[Int](10))\n      val opt17 = box1.R8[Int]\n      val i18 = i16 - if (opt17.isDefined) { opt17.get } else { box1.R7[Int].get }\n      val coll19 = coll9(placeholder[Int](11))._1\n      val coll20 = box15.tokens\n      val tuple21 = coll9(placeholder[Int](12))\n      val l22 = tuple21._2\n      val l23 = i18.toLong\n      val l24 = l22 - l23 * tuple10._2\n      val bi25 = tuple11._2.toBigInt - box4.R5[Long].get.toBigInt * i18.toBigInt / i16.toBigInt - bi12 * l24.toBigInt / placeholder[Long](13) - coll5(placeholder[Int](14))._2 - l6 * l23.toBigInt\n      ((box14.propositionBytes == prop8.propBytes) && (((((box15.R6[SigmaProp].get == prop8) && (box15.R7[Coll[Byte]].get == coll3)) && (box15.propositionBytes == SELF.propositionBytes)) && if (i18 > placeholder[Int](15)) {(\n              val tuple26 = coll20(placeholder[Int](16))\n              (((coll19, placeholder[Long](17)) == coll20(placeholder[Int](18))) && (tuple26._1 == tuple21._1)) && (l22 - tuple26._2 == l24)\n            )} else { (coll19, placeholder[Long](19)) == coll20(placeholder[Int](20)) }) && (coll20(placeholder[Int](21)) == tuple10))) && if (bi25 > bi13) {(\n        val tuple26 = box14.tokens(placeholder[Int](22))\n        (tuple26._1 == tuple11._1) && (tuple26._2.toBigInt >= bi25 - bi12)\n      )} else { if (bi25 == bi13) { placeholder[Boolean](23) } else { placeholder[Boolean](24) } }\n    )} else { if (l7 < placeholder[Long](25)) { INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27)) == (if (coll9.size == placeholder[Int](28)) { coll9(placeholder[Int](29))._1 } else { coll9(placeholder[Int](30))._1 }, placeholder[Long](31)) } else { placeholder[Boolean](32) } })\n}",
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      "assets": [
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          "type": "EIP-004"
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          "name": "Mi Goreng _ERG_Mi Goreng _LP_YF",
          "decimals": 0,
          "type": "EIP-004"
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "4d6920476f72656e67205f4552475f4d6920476f72656e67205f4c505f5946"
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        "R5": {
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "54686520726570726573656e746174696f6e206f6620796f757220736861726520696e20746865204d6920476f72656e67202f4552475f4d6920476f72656e67205f4c502028706f6f6c2069643a203939386231633164323530346639616337396435383531333764323336666538373732316366386364633632343465616531353931356264656166656465306229207969656c64206661726d696e6720706f6f6c206f6e2074686520537065637472756d2046696e616e636520706c6174666f726d2e"
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          "sigmaType": "SSigmaProp",
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        },
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          "sigmaType": "Coll[SByte]",
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      "mainChain": true
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      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(444ea0,e8b798,...)))}",
      "address": "9f39L37bmuC2DWDT6ZQxYA87bwNB22Sp5JC6mHXp5pPesaa2b3x",
      "assets": [
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      "mainChain": true
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      "ergoTree": "0008cd038e21fad76e0627635e3a4210e4df9981c1f5285d74344f95e96b97f4c31562bf",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8e21fa,abbe96,...)))}",
      "address": "9hYQHGkC8ttr9WVypQJzi2z734qXYG9pXaVxPpeN6k6MWpJ2Vj2",
      "assets": [
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      "mainChain": true
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a12e23,93fdf9,...)))}",
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      "mainChain": true
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      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(703b2b,7158ec,...)))}",
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      "ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
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      "ergoTreeScript": "{sigmaProp(\n  allOf(\n    Coll[Boolean](\n      HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n        placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n      ), OUTPUTS.size == placeholder[Int](4)\n    )\n  )\n)}",
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      "spentTransactionId": "9e1743e2e24143ae9a607233a8c62d75711d9146da3e0d632f34f84dd07bb0d7",
      "mainChain": true
    }
  ],
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  "isUnconfirmed": false
}