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Transaction

1/11/2024 12:03:56 AM
ID: 2f58ee5bb2...7a3b
Inputs (12)
#0
cdae81f831c3...4eaf
Spent
Address:
Spectrum Finance (Yield Farm)
Output transaction:
6e158021e234...edf7
Settlement height:
1,175,363
Value:
0.000522 ERG
Tokens:
Loading assets...
#1
357fd8f88a2b...d6db
Spent
Address:
9hVmDmyrLoNA...CyMg
Output transaction:
6e158021e234...edf7
Settlement height:
1,175,363
Value:
20.56 ERG
#2
971326c8f9dd...96e6
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
83cec18f279f...2c04
Settlement height:
1,174,642
Value:
0.000522 ERG
Tokens:
Loading assets...
#3
ce30af7ac8da...b403
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
73cd45ca0b6c...0a56
Settlement height:
1,174,642
Value:
0.000522 ERG
Tokens:
Loading assets...
#4
e887b09b7e22...4d66
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
73cd45ca0b6c...0a56
Settlement height:
1,174,642
Value:
0.000522 ERG
Tokens:
Loading assets...
#5
117fb3688380...75eb
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
73cd45ca0b6c...0a56
Settlement height:
1,174,642
Value:
0.000522 ERG
Tokens:
Loading assets...
#6
5c58797050b9...de50
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
73cd45ca0b6c...0a56
Settlement height:
1,174,642
Value:
0.000522 ERG
Tokens:
Loading assets...
#7
05fb6b20de56...11bd
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
73cd45ca0b6c...0a56
Settlement height:
1,174,642
Value:
0.000522 ERG
Tokens:
Loading assets...
#8
a7126d9f8fa3...76c3
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
73cd45ca0b6c...0a56
Settlement height:
1,174,642
Value:
0.000522 ERG
Tokens:
Loading assets...
#9
abae742b1c31...1ca4
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
73cd45ca0b6c...0a56
Settlement height:
1,174,642
Value:
0.000522 ERG
Tokens:
Loading assets...
#10
6b93b50035b5...aa70
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
73cd45ca0b6c...0a56
Settlement height:
1,174,642
Value:
0.000522 ERG
Tokens:
Loading assets...
#11
fdaef1c3d085...5f99
Spent
Address:
ynjTHNBGREHK...QD2P
Output transaction:
73cd45ca0b6c...0a56
Settlement height:
1,174,642
Value:
0.000522 ERG
Tokens:
Loading assets...
Outputs (23)
#0
9b5345b86d25...dbfa
Spent
Address:
Spectrum Finance (Yield Farm)
Spent in transaction:
ddfebcdfa1ee...7497
Settlement height:
1,175,363
Value:
0.000522 ERG
Tokens:
Loading assets...
#1
8c2f118cbde1...cde4
Spent
Address:
9hVmDmyrLoNA...CyMg
Spent in transaction:
ddfebcdfa1ee...7497
Settlement height:
1,175,363
Value:
20.56 ERG
#2
ec04594fb720...7b8c
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
f58dcec99f51...29b0
Settlement height:
1,175,363
Value:
0.000522 ERG
Tokens:
Loading assets...
#3
1943398672cc...bcc1
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
f58dcec99f51...29b0
Settlement height:
1,175,363
Value:
0.000522 ERG
Tokens:
Loading assets...
#4
47c990ad25df...9bb7
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c78208200c96...e059
Settlement height:
1,175,363
Value:
0.000522 ERG
Tokens:
Loading assets...
#5
17b1674d18a1...63f8
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c78208200c96...e059
Settlement height:
1,175,363
Value:
0.000522 ERG
Tokens:
Loading assets...
#6
214e723b5dc5...471b
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c78208200c96...e059
Settlement height:
1,175,363
Value:
0.000522 ERG
Tokens:
Loading assets...
#7
f405baf4e48f...3f82
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c78208200c96...e059
Settlement height:
1,175,363
Value:
0.000522 ERG
Tokens:
Loading assets...
#8
05f6de2455cb...5475
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c78208200c96...e059
Settlement height:
1,175,363
Value:
0.000522 ERG
Tokens:
Loading assets...
#9
09b1314d6815...83a9
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c78208200c96...e059
Settlement height:
1,175,363
Value:
0.000522 ERG
Tokens:
Loading assets...
#10
529f198608c8...6bbb
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c78208200c96...e059
Settlement height:
1,175,363
Value:
0.000522 ERG
Tokens:
Loading assets...
#11
f47d85e908a7...b99b
Spent
Address:
ynjTHNBGREHK...QD2P
Spent in transaction:
c78208200c96...e059
Settlement height:
1,175,363
Value:
0.000522 ERG
Tokens:
Loading assets...
#12
4ff2fdd185cf...575c
Spent
Address:
9eZTChHgGfJu...hAER
Spent in transaction:
9e980028b104...1fa0
Settlement height:
1,175,363
Value:
0.00025 ERG
Tokens:
SPF
0
#13
e9195d2af123...8311
Spent
Address:
9eeTTnk1xpra...HEmd
Spent in transaction:
fe82cdb49091...7ad7
Settlement height:
1,175,363
Value:
0.00025 ERG
Tokens:
SPF
7
#14
ed13fcd3e7de...b0d1
Spent
Address:
9evFNk67wp49...3QQB
Spent in transaction:
e940a6e8407c...f404
Settlement height:
1,175,363
Value:
0.00025 ERG
Tokens:
SPF
3
#15
e8d1a1a8b5ee...d812
Spent
Address:
9ggp8PyhoKPv...GZPw
Spent in transaction:
1b120f8343e8...f08f
Settlement height:
1,175,363
Value:
0.00025 ERG
Tokens:
SPF
0
#16
0af3f0ed8d14...ddd9
Spent
Address:
9efS7amkJV1j...Z3wG
Spent in transaction:
55497c8f2d96...4c7d
Settlement height:
1,175,363
Value:
0.00025 ERG
Tokens:
SPF
0
#17
aa4e57b69639...f8ff
Spent
Address:
9hVJFPVbkVeb...CBpn
Spent in transaction:
c96b2e0f2f42...043a
Settlement height:
1,175,363
Value:
0.00025 ERG
Tokens:
SPF
1
#18
2923873b6f58...cde7
Spent
Address:
9fxLPthz9MLn...uJqT
Spent in transaction:
71c42a8032bb...b792
Settlement height:
1,175,363
Value:
0.00025 ERG
Tokens:
SPF
2
#19
bb5abc9482dc...5598
Spent
Address:
9earjpNKvyq5...gYWV
Spent in transaction:
4c2b01f444e8...083c
Settlement height:
1,175,363
Value:
0.00025 ERG
Tokens:
SPF
2
#20
536187435a47...c6b9
Unspent
Address:
9i2keqjtqcYi...JJMY
Settlement height:
1,175,363
Value:
0.00025 ERG
Tokens:
SPF
0
#21
caa89a1ea559...f28a
Spent
Address:
9hBgVmFp7Kmz...UqNS
Spent in transaction:
acd1405c1bbe...24c5
Settlement height:
1,175,363
Value:
0.00025 ERG
Tokens:
SPF
2
#22
b41ff1a27d17...0cee
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
e8ccf0a6c8f7...bef9
Settlement height:
1,175,363
Value:
0.003 ERG
Transaction Details
Status: Confirmed
Size: 10.96 KB
Received time: 1/11/2024 12:03:56 AM
Included in blocks: 1,175,363
Confirmations: 583,732
Total coins transferred: 20.57 ERG
Fees: 0.003 ERG
Fees per byte: 0.000000267 ERG
Raw Transaction Data
{
  "id": "2f58ee5bb2072db0db1dd7662acd3ed6af43eaa3bb480ed31c1755bb04dc7a3b",
  "blockId": "767959ed6a2a1490d0ce6602a79698921650cd6a55f2d01f58c63d621c5aaaed",
  "inclusionHeight": 1175363,
  "timestamp": 1704931436886,
  "index": 11,
  "globalIndex": 6450372,
  "numConfirmations": 583732,
  "inputs": [
    {
      "boxId": "cdae81f831c3ced35aadcaf9ad2ac709b7730e29397d1e724b96c3d2fc7c4eaf",
      "value": 522000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "767959ed6a2a1490d0ce6602a79698921650cd6a55f2d01f58c63d621c5aaaed",
      "outputTransactionId": "6e158021e2345a087153faa628fbe1cdfaa87d7414eb6b81dff89ab8c8b3edf7",
      "outputIndex": 0,
      "outputGlobalIndex": 36003193,
      "outputCreatedAt": 1175360,
      "outputSettledAt": 1175363,
      "ergoTree": "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",
      "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": "4136eba32fe50118ce0c556b83f85c0460da975489a3a5f3d0450fef0ab40dd5",
          "index": 0,
          "amount": 1,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "9a06d9e545a41fd51eeffc5e20d818073bf820c635e2a9d922269913e0de369d",
          "index": 1,
          "amount": 98415809219,
          "name": "SPF",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "303f39026572bcb4060b51fafc93787a236bb243744babaa99fceb833d61e198",
          "index": 2,
          "amount": 42691479833,
          "name": "ERG_SigUSD_LP",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "d69a4a3d126fca47d8ca154a47c8c426ab736ca9b6dd9f491698df8c4f4964b0",
          "index": 3,
          "amount": 9223371994163296000,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "9be2c282ba8d9d4394add91c5f2730b9ed212f09607590e23c6090e5ea955b8b",
          "index": 4,
          "amount": 9223371091543496000,
          "name": "",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1004a00be802c0cb8101a00b",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[720,180,1061600,720]"
        },
        "R5": {
          "serializedValue": "058080babbc82e",
          "sigmaType": "SLong",
          "renderedValue": "800000000000"
        },
        "R6": {
          "serializedValue": "059003",
          "sigmaType": "SLong",
          "renderedValue": "200"
        },
        "R7": {
          "serializedValue": "04bc02",
          "sigmaType": "SInt",
          "renderedValue": "158"
        }
      }
    },
    {
      "boxId": "357fd8f88a2bb25d480ace5150b4fca1db4e9ddd15c0eb495006234b5e8ed6db",
      "value": 20561918720,
      "index": 1,
      "spendingProof": "84a88a9629b0afde9cb8681269835601cd28bf541ca676853708c5e12ae1afcab04c4f1995d79e0af0203a42edaffb3ddf97b76bcd0c4568",
      "outputBlockId": "767959ed6a2a1490d0ce6602a79698921650cd6a55f2d01f58c63d621c5aaaed",
      "outputTransactionId": "6e158021e2345a087153faa628fbe1cdfaa87d7414eb6b81dff89ab8c8b3edf7",
      "outputIndex": 1,
      "outputGlobalIndex": 36003194,
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      "ergoTree": "0008cd0388240042ee269b4dfed0734e79ced7b9c513a98dadfdacd30593173b3b31321d",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(882400,1e1bd2,...)))}",
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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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        {
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          "name": "Spectrum YF staking bundle",
          "decimals": 0,
          "type": "EIP-004"
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "537065637472756d205946207374616b696e672062756e646c65"
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        "R5": {
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          "sigmaType": "SSigmaProp",
          "renderedValue": "02056deeeba9f11fd9d208b16ac057e797b23fbadb543251ebca08c0246ff67d7e"
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      "outputBlockId": "bddce43296d9bf7b53f7dcfa82252d4a52fe6bef591352e6560fb3927d7557e0",
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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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          "sigmaType": "Coll[SByte]",
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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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      "globalIndex": 36003237,
      "creationHeight": 1175360,
      "settlementHeight": 1175363,
      "ergoTree": "0008cd035f15a02567b9bd694faa587588571a2aca7984e501c8ad6f90f5e4921500ac83",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5f15a0,99fbb7,...)))}",
      "address": "9hBgVmFp7Kmz2dNyAVy8sGB9z4WjRgNipXqQHxz4edv9cxGUqNS",
      "assets": [
        {
          "tokenId": "9a06d9e545a41fd51eeffc5e20d818073bf820c635e2a9d922269913e0de369d",
          "index": 0,
          "amount": 1549133,
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          "decimals": 6,
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        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "acd1405c1bbe3a6bdc8d869f8826d5599d437f6399f557ab4ab011c8ca1324c5",
      "mainChain": true
    },
    {
      "boxId": "b41ff1a27d177ca57a6397db99712c86db5786dce039258adfa0eedaa72c0cee",
      "transactionId": "2f58ee5bb2072db0db1dd7662acd3ed6af43eaa3bb480ed31c1755bb04dc7a3b",
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      "settlementHeight": 1175363,
      "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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      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "e8ccf0a6c8f76d98cb936940d65b0025249a4bfd5c98d4667278e61482b4bef9",
      "mainChain": true
    }
  ],
  "size": 11223,
  "isUnconfirmed": false
}