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Transaction

7/12/2022 06:34:02 AM
ID: 0b355be8f6...d6fa
Inputs (4)
#0
9bb7715da68f...ae33
Spent
Address:
721jRBm8dr7g...a85D
Output transaction:
c6709d40c603...0f66
Settlement height:
790,534
Value:
0.001 ERG
Tokens:
Loading assets...
#1
f97597370846...8873
Spent
Address:
9gUibHoaeiwK...cGoU
Output transaction:
ea90806ccb4f...4e78
Settlement height:
791,594
Value:
0.007 ERG
#2
97a60b3b6040...c28e
Spent
Address:
42gNKewDz89w...z3NU
Output transaction:
8df6d50842fe...3d3c
Settlement height:
791,134
Value:
11.99 ERG
#3
74a2cf839ce7...b487
Spent
Address:
42gNKewDz89w...z3NU
Output transaction:
c6709d40c603...0f66
Settlement height:
790,534
Value:
15.12 ERG
Outputs (13)
#0
8d68753afe6c...b095
Spent
Address:
721jRBm8dr7g...a85D
Spent in transaction:
cbc34e4dc4f6...e959
Settlement height:
791,595
Value:
0.001 ERG
Tokens:
Loading assets...
#1
d8f0fa55e638...e755
Unspent
Address:
9gzseZdnT8vc...NcFE
Settlement height:
791,595
Value:
0.079 ERG
#2
4ca5bad34ae6...1687
Unspent
Address:
9gPFawwWWkka...wy11
Settlement height:
791,595
Value:
0.708 ERG
#3
679762a7abf8...110c
Spent
Address:
9f7C4EHwSoFg...kXtK
Spent in transaction:
77d1edbd0932...18e7
Settlement height:
791,595
Value:
1.85 ERG
#4
021caf2da002...01b4
Spent
Address:
9gpKsNLnikPT...hGQE
Spent in transaction:
3bf9ee885adb...bcde
Settlement height:
791,595
Value:
1.72 ERG
#5
26bfda6dac35...f4b3
Unspent
Address:
9gsZDLaueGuW...beDZ
Settlement height:
791,595
Value:
1.37 ERG
#6
a5516fb32f8a...1767
Spent
Address:
9efXYr9ESwyP...BDED
Spent in transaction:
f4fe1d43b47f...50bc
Settlement height:
791,595
Value:
1.35 ERG
#7
5d7664e40305...69fb
Spent
Address:
9hXpBQhbXHBM...KoBq
Spent in transaction:
6fc824811714...52de
Settlement height:
791,595
Value:
0.124 ERG
#8
e39ba62d124d...964b
Spent
Address:
9fUZH387wfjj...GqBd
Spent in transaction:
3d43ef1c6dd7...03a4
Settlement height:
791,595
Value:
1.48 ERG
#9
72a1e51013b6...323e
Spent
Address:
9f2tZfjZKtLY...RDwZ
Spent in transaction:
7fc05b1c84e3...cb37
Settlement height:
791,595
Value:
17.91 ERG
#10
9607dbd7eced...ac4b
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
cbc34e4dc4f6...e959
Settlement height:
791,595
Value:
0.505 ERG
#11
a87bb2efbadb...e64c
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
2fb7fe7769b8...65fa
Settlement height:
791,595
Value:
0.017 ERG
#12
3e65cb631de0...8aa2
Spent
Address:
9gUibHoaeiwK...cGoU
Spent in transaction:
4ce58c63516e...3ff6
Settlement height:
791,595
Value:
0.005 ERG
Transaction Details
Status: Confirmed
Size: 2.5 KB
Received time: 7/12/2022 06:34:02 AM
Included in blocks: 791,595
Confirmations: 971,131
Total coins transferred: 27.12 ERG
Fees: 0.017 ERG
Fees per byte: 0.000006651 ERG
Raw Transaction Data
{
  "id": "0b355be8f666f81c079b452c63c19fedc14bc03d2285d1b335be2aefebd2d6fa",
  "blockId": "74bc2972cba4ce73f1a25319bd22e05f8831669b88ab0c5891caa9179f84bfd8",
  "inclusionHeight": 791595,
  "timestamp": 1657607642842,
  "index": 2,
  "globalIndex": 3531877,
  "numConfirmations": 971131,
  "inputs": [
    {
      "boxId": "9bb7715da68fbef7c92c5d34afa231339ae0e09e26540d728ebc92c2ba73ae33",
      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "00d1c6569e25be7c392f0ff3eb1d6a6733826ff99423aae285ee3fa7e619abbd",
      "outputTransactionId": "c6709d40c6035b71498ee579020d96d5ca267553598e01a9d90993c125c10f66",
      "outputIndex": 0,
      "outputGlobalIndex": 18917993,
      "outputCreatedAt": 790531,
      "outputSettledAt": 790534,
      "ergoTree": "101404000400040204020100010004020100040204000400050204020404040404000400010001000101d806d601c6a70611d602c6a7071ad60396830501e6c6a7040c3c0e11e6c6a7050c4c0ee67201e6720293b2a4730000a7d604b2a5730100d605b2a4730200d606c672040611957203d1959595ed93c27204c2a795957203aee47202d901070e937207c2b2a4730300730496830401e6c67205040c3c0e11e6c67205050c4c0ee6c672050611e6c67205071a730596830601e6c67204040c3c0e11e6c67204050c4c0ee6c672040611e6c67204071a93c17204c1a793b1db6308720473067307d803d607e47206d608e47201d609b27207730800ededed93b272077309009ab27208730a00730bed9072097ea305917209b27208730c0093b27207730d00b27208730e00938cb2db6308a7730f00018cb2db630872047310000173119683040193e4c67204040c3c0e11e4c67205040c3c0e1193e4c67204050c4c0ee4c67205050c4c0e93e47206e4c67205061193e4c67204071ae4c67205071a7312d17313",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: false\n5: false\n6: 1\n7: false\n8: 1\n9: 0\n10: 0\n11: 1\n12: 1\n13: 2\n14: 2\n15: 0\n16: 0\n17: false\n18: false\n19: true",
      "ergoTreeScript": "{\n  val opt1 = SELF.R6[Coll[Long]]\n  val opt2 = SELF.R7[Coll[Coll[Byte]]]\n  val bool3 = allOf(\n    Coll[Boolean](\n      SELF.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, SELF.R5[Coll[(Coll[Byte], Int)]].isDefined, opt1.isDefined, opt2.isDefined, INPUTS(\n        placeholder[Int](0)\n      ) == SELF\n    )\n  )\n  val box4 = OUTPUTS(placeholder[Int](1))\n  val box5 = INPUTS(placeholder[Int](2))\n  val opt6 = box4.R6[Coll[Long]]\n  if (bool3) {\n    sigmaProp(\n      if (if (if ((box4.propositionBytes == SELF.propositionBytes) && if (if (bool3) {\n        opt2.get.exists({(coll7: Coll[Byte]) => coll7 == INPUTS(placeholder[Int](3)).propositionBytes })\n      } else { placeholder[Boolean](4) }) {\n        allOf(\n          Coll[Boolean](\n            box5.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box5.R5[Coll[(Coll[Byte], Int)]].isDefined, box5.R6[Coll[Long]].isDefined, box5.R7[\n              Coll[Coll[Byte]]\n            ].isDefined\n          )\n        )\n      } else { placeholder[Boolean](5) }) {\n        allOf(\n          Coll[Boolean](\n            box4.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box4.R5[Coll[(Coll[Byte], Int)]].isDefined, box4.R6[Coll[Long]].isDefined, box4.R7[\n              Coll[Coll[Byte]]\n            ].isDefined, box4.value == SELF.value, box4.tokens.size == placeholder[Int](6)\n          )\n        )\n      } else { placeholder[Boolean](7) }) {(\n        val coll7 = opt6.get\n        val coll8 = opt1.get\n        val l9 = coll7(placeholder[Int](8))\n        (\n          (\n            (coll7(placeholder[Int](9)) == coll8(placeholder[Int](10)) + placeholder[Long](11)) && ((l9 <= HEIGHT.toLong) && (l9 > coll8(placeholder[Int](12))))\n          ) && (coll7(placeholder[Int](13)) == coll8(placeholder[Int](14)))\n        ) && (SELF.tokens(placeholder[Int](15))._1 == box4.tokens(placeholder[Int](16))._1)\n      )} else { placeholder[Boolean](17) }) {\n        allOf(\n          Coll[Boolean](\n            box4.R4[Coll[(Coll[Byte], Coll[Long])]].get == box5.R4[Coll[(Coll[Byte], Coll[Long])]].get, box4.R5[Coll[(Coll[Byte], Int)]].get == box5.R5[\n              Coll[(Coll[Byte], Int)]\n            ].get, opt6.get == box5.R6[Coll[Long]].get, box4.R7[Coll[Coll[Byte]]].get == box5.R7[Coll[Coll[Byte]]].get\n          )\n        )\n      } else { placeholder[Boolean](18) }\n    )\n  } else { sigmaProp(placeholder[Boolean](19)) }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "4342b4a582c18a0e77218f1aa2de464ae1b46ad66c30abc6328e349e624e9047",
          "index": 0,
          "amount": 1,
          "name": "GetBlok.io Default Smart Pool",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd0213392dff49d65302e135e5a4fa377489b52e20d8dfd473a1cac80f13989dd882,[8059,1000000000,675000000,145,0]],[0008cd0223e6bed5cbf1e804ca2f6bc112101f502a5799993ac1701894f83b867ee61ce1,[6172,1000000000,0,45,0]],[0008cd03468b50f4c5cf9273fea501006d84b7bd3f7445da82db24c6ba56d27e623f506f,[886,10000000,0,17,0]],[0008cd02f5a91f10b3d9c467ad2ac451f5a3abc8a49d9d98275f0d1de5a94c9e7a0d54ba,[8566,10000000,0,7,0]],[0008cd024d7f13eab17aad180a88897f224d88b629bdb92277625584181ee2a42ac64d53,[21964,10000000,0,112,0]],[0008cd032e9807a83fec510796daa46e8a93a16f902611f532cde6a2f346f675ef2f032c,[16012,1000000000,0,7,0]],[0008cd0243baa67bc5348ecd92a15a48213efdae93a12625001c24ebc3c796748c918b53,[42283,15000000000,14443000000,89,0]],[0008cd0335ed9af1fd2d016c9982ffe746f0290cc7a474c496c3074b72aadf7804e9385d,[16245,1000000000,0,60,0]],[0008cd038ccc3782e1a5ac71b50d62630d9a9bd0ae59a6ac38ec2f912b0fc5551792c2d5,[1446,100000000,0,29,0]],[0008cd027e029ea55f7e1b0d8412998af55b873b66ee35b41a700157fdb97ff94db35f17,[22338,10000000,0,25,0]]]"
        },
        "R5": {
          "serializedValue": "0c4c0e01240008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed37202700",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,0]]"
        },
        "R6": {
          "serializedValue": "1105a20286c0608edd5c0600",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[145,790531,759623,3,0]"
        },
        "R7": {
          "serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
        }
      }
    },
    {
      "boxId": "f97597370846936cd6a7ea0a73d5b870fc45339c278b71f910929d93ba138873",
      "value": 7000000,
      "index": 1,
      "spendingProof": "b328e5653557dadd01138763a980ee1c18617ade08c4ea32ebe5258aa4a9fa7f6974ec5fd0dfc1393edada05a3b2bd978b8c47f9f942da38",
      "outputBlockId": "146c1d864daf0efb419cee109de6087a100820fc3293c32d621fb2f2176652e4",
      "outputTransactionId": "ea90806ccb4fc3c294692c232584adfcd5755547d406807b714e9fbb91564e78",
      "outputIndex": 3,
      "outputGlobalIndex": 18966999,
      "outputCreatedAt": 791592,
      "outputSettledAt": 791594,
      "ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
      "address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd0213392dff49d65302e135e5a4fa377489b52e20d8dfd473a1cac80f13989dd882,[7370,1000000000,0,146,0]],[0008cd0223e6bed5cbf1e804ca2f6bc112101f502a5799993ac1701894f83b867ee61ce1,[5499,1000000000,505000000,46,0]],[0008cd03468b50f4c5cf9273fea501006d84b7bd3f7445da82db24c6ba56d27e623f506f,[859,10000000,0,18,0]],[0008cd02f5a91f10b3d9c467ad2ac451f5a3abc8a49d9d98275f0d1de5a94c9e7a0d54ba,[7698,10000000,0,8,0]],[0008cd024d7f13eab17aad180a88897f224d88b629bdb92277625584181ee2a42ac64d53,[20129,10000000,0,113,0]],[0008cd032e9807a83fec510796daa46e8a93a16f902611f532cde6a2f346f675ef2f032c,[18724,1000000000,0,8,0]],[0008cd0243baa67bc5348ecd92a15a48213efdae93a12625001c24ebc3c796748c918b53,[37640,15000000000,0,90,0]],[0008cd0335ed9af1fd2d016c9982ffe746f0290cc7a474c496c3074b72aadf7804e9385d,[14859,1000000000,0,61,0]],[0008cd038ccc3782e1a5ac71b50d62630d9a9bd0ae59a6ac38ec2f912b0fc5551792c2d5,[1358,100000000,0,30,0]],[0008cd027e029ea55f7e1b0d8412998af55b873b66ee35b41a700157fdb97ff94db35f17,[16119,10000000,0,26,0]]]"
        },
        "R5": {
          "serializedValue": "0c4c0e01240008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed37202700",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,0]]"
        },
        "R6": {
          "serializedValue": "1105a402d0d0608edd5c0600",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[146,791592,759623,3,0]"
        },
        "R7": {
          "serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
        }
      }
    },
    {
      "boxId": "97a60b3b604073ec605cc47a6079774acf40f224900e958d01719887d5bbc28e",
      "value": 11991000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "d0bf9ab2b326eb077b4786b1f6c5e82cb89e3cd484fdd30b274e97e25b2ea098",
      "outputTransactionId": "8df6d50842fe064c7046d422ae868c29aa6e817977df28ae225207526a2a3d3c",
      "outputIndex": 3,
      "outputGlobalIndex": 18943185,
      "outputCreatedAt": 791132,
      "outputSettledAt": 791134,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "74a2cf839ce7c89aca439f9b0c53a1c8b0e0f90778d0249688f48660adc6b487",
      "value": 15118000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "00d1c6569e25be7c392f0ff3eb1d6a6733826ff99423aae285ee3fa7e619abbd",
      "outputTransactionId": "c6709d40c6035b71498ee579020d96d5ca267553598e01a9d90993c125c10f66",
      "outputIndex": 9,
      "outputGlobalIndex": 18918002,
      "outputCreatedAt": 790531,
      "outputSettledAt": 790534,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "42gNKewDz89wkqCb8VJvPNFx7G54mjCkxxkKB7wGggb8oko7kY2hxBSvBP5viG5huFhbjacxeuNCCAMTSGTwRwQDkTdXY3gGLnW6K7jznbsM4hKuGs3PVuNUSovQWNhwjEUXTWkdSFc1Uj1ewCpyiZjN8zHAFpjEBhfbhaUDcHvkzamKf2xAdhC8AEXKXawVz9HwpsYvqapTKJj1oF1M82oS1F3ApxMjm33CYVeCWFUYvH95QxZHfK8magXnLhL1t5QdVPSQjad2XWc1wRXqNeGzDNAmKqpXjRAcnCF1wGQAcXhzEzfoJL5nzzmkS4wxMkbck5AHmGjqCfP8XEwD2beh2xSccKqF6q6WhSrTLHdRwTuyr1pbvxUsGd3FTip24nnGXpb8PmuHX6EcP8mJ4igjDZ9Hx9SXoNM1NosW2RtpEpTTDzvKWWPBugh427BTXEJCxPe7r1HirnqEewiPwqxw9ZA8LAJvDFRa13coswoj4rGafQ9M7Cz4LyyYmZH9khipHWzW62JtPKJGHZKiKhC1zL1jpHuRAv22n8rhFWs867ufrzQ9ceSp8anbaiZxwDNtZpjCWexSenVFVNoDFVrxJWowHbPcPmsobYkiFZCwo5dXFQt1J2qz88nZcsxdqyLAAn1ELGsdpx9Eo6Yy1YLpNygxAvFr571ajQzLGqcTV5SKmY6McXvxyf1UVeiETczQBFmBCz9DiQ5doFRgQ7C77cWbFMEWPQTaPgi2zrqUwPo679DwQckNgvgqp3ncyCUrSfmAbWF9NcVrfAD9nrRuADKK4mSR1PnftpsxArA6XShdbBgSvwqdjhvP2DR3cdZbLv5YTL3YbQjGymgzx9n6HNjxpwmdMLMWD81SgHEC8Kq3nqWJ8ZtsRZnXCkovfQmsu5mfBA5s8eF6L7d3SGfjtLjm2fgKq5BzfJoH92FJaB7Px9QA8aFyPQN7nfr9DdaaTXJg8G32KjizLAScqPJHVhKwEiR813k3tWH9eGi83aJqS4u2KsqrDUHxEzwHVPeLS7fNveXaL8iz3NU",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "8d68753afe6c8e304de3c5875cc07010257636b7aa2786a8538e7f5fe2c1b095",
      "transactionId": "0b355be8f666f81c079b452c63c19fedc14bc03d2285d1b335be2aefebd2d6fa",
      "blockId": "74bc2972cba4ce73f1a25319bd22e05f8831669b88ab0c5891caa9179f84bfd8",
      "value": 1000000,
      "index": 0,
      "globalIndex": 18967157,
      "creationHeight": 791592,
      "settlementHeight": 791595,
      "ergoTree": "101404000400040204020100010004020100040204000400050204020404040404000400010001000101d806d601c6a70611d602c6a7071ad60396830501e6c6a7040c3c0e11e6c6a7050c4c0ee67201e6720293b2a4730000a7d604b2a5730100d605b2a4730200d606c672040611957203d1959595ed93c27204c2a795957203aee47202d901070e937207c2b2a4730300730496830401e6c67205040c3c0e11e6c67205050c4c0ee6c672050611e6c67205071a730596830601e6c67204040c3c0e11e6c67204050c4c0ee6c672040611e6c67204071a93c17204c1a793b1db6308720473067307d803d607e47206d608e47201d609b27207730800ededed93b272077309009ab27208730a00730bed9072097ea305917209b27208730c0093b27207730d00b27208730e00938cb2db6308a7730f00018cb2db630872047310000173119683040193e4c67204040c3c0e11e4c67205040c3c0e1193e4c67204050c4c0ee4c67205050c4c0e93e47206e4c67205061193e4c67204071ae4c67205071a7312d17313",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: false\n5: false\n6: 1\n7: false\n8: 1\n9: 0\n10: 0\n11: 1\n12: 1\n13: 2\n14: 2\n15: 0\n16: 0\n17: false\n18: false\n19: true",
      "ergoTreeScript": "{\n  val opt1 = SELF.R6[Coll[Long]]\n  val opt2 = SELF.R7[Coll[Coll[Byte]]]\n  val bool3 = allOf(\n    Coll[Boolean](\n      SELF.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, SELF.R5[Coll[(Coll[Byte], Int)]].isDefined, opt1.isDefined, opt2.isDefined, INPUTS(\n        placeholder[Int](0)\n      ) == SELF\n    )\n  )\n  val box4 = OUTPUTS(placeholder[Int](1))\n  val box5 = INPUTS(placeholder[Int](2))\n  val opt6 = box4.R6[Coll[Long]]\n  if (bool3) {\n    sigmaProp(\n      if (if (if ((box4.propositionBytes == SELF.propositionBytes) && if (if (bool3) {\n        opt2.get.exists({(coll7: Coll[Byte]) => coll7 == INPUTS(placeholder[Int](3)).propositionBytes })\n      } else { placeholder[Boolean](4) }) {\n        allOf(\n          Coll[Boolean](\n            box5.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box5.R5[Coll[(Coll[Byte], Int)]].isDefined, box5.R6[Coll[Long]].isDefined, box5.R7[\n              Coll[Coll[Byte]]\n            ].isDefined\n          )\n        )\n      } else { placeholder[Boolean](5) }) {\n        allOf(\n          Coll[Boolean](\n            box4.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box4.R5[Coll[(Coll[Byte], Int)]].isDefined, box4.R6[Coll[Long]].isDefined, box4.R7[\n              Coll[Coll[Byte]]\n            ].isDefined, box4.value == SELF.value, box4.tokens.size == placeholder[Int](6)\n          )\n        )\n      } else { placeholder[Boolean](7) }) {(\n        val coll7 = opt6.get\n        val coll8 = opt1.get\n        val l9 = coll7(placeholder[Int](8))\n        (\n          (\n            (coll7(placeholder[Int](9)) == coll8(placeholder[Int](10)) + placeholder[Long](11)) && ((l9 <= HEIGHT.toLong) && (l9 > coll8(placeholder[Int](12))))\n          ) && (coll7(placeholder[Int](13)) == coll8(placeholder[Int](14)))\n        ) && (SELF.tokens(placeholder[Int](15))._1 == box4.tokens(placeholder[Int](16))._1)\n      )} else { placeholder[Boolean](17) }) {\n        allOf(\n          Coll[Boolean](\n            box4.R4[Coll[(Coll[Byte], Coll[Long])]].get == box5.R4[Coll[(Coll[Byte], Coll[Long])]].get, box4.R5[Coll[(Coll[Byte], Int)]].get == box5.R5[\n              Coll[(Coll[Byte], Int)]\n            ].get, opt6.get == box5.R6[Coll[Long]].get, box4.R7[Coll[Coll[Byte]]].get == box5.R7[Coll[Coll[Byte]]].get\n          )\n        )\n      } else { placeholder[Boolean](18) }\n    )\n  } else { sigmaProp(placeholder[Boolean](19)) }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "4342b4a582c18a0e77218f1aa2de464ae1b46ad66c30abc6328e349e624e9047",
          "index": 0,
          "amount": 1,
          "name": "GetBlok.io Default Smart Pool",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
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          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd0213392dff49d65302e135e5a4fa377489b52e20d8dfd473a1cac80f13989dd882,[7370,1000000000,0,146,0]],[0008cd0223e6bed5cbf1e804ca2f6bc112101f502a5799993ac1701894f83b867ee61ce1,[5499,1000000000,505000000,46,0]],[0008cd03468b50f4c5cf9273fea501006d84b7bd3f7445da82db24c6ba56d27e623f506f,[859,10000000,0,18,0]],[0008cd02f5a91f10b3d9c467ad2ac451f5a3abc8a49d9d98275f0d1de5a94c9e7a0d54ba,[7698,10000000,0,8,0]],[0008cd024d7f13eab17aad180a88897f224d88b629bdb92277625584181ee2a42ac64d53,[20129,10000000,0,113,0]],[0008cd032e9807a83fec510796daa46e8a93a16f902611f532cde6a2f346f675ef2f032c,[18724,1000000000,0,8,0]],[0008cd0243baa67bc5348ecd92a15a48213efdae93a12625001c24ebc3c796748c918b53,[37640,15000000000,0,90,0]],[0008cd0335ed9af1fd2d016c9982ffe746f0290cc7a474c496c3074b72aadf7804e9385d,[14859,1000000000,0,61,0]],[0008cd038ccc3782e1a5ac71b50d62630d9a9bd0ae59a6ac38ec2f912b0fc5551792c2d5,[1358,100000000,0,30,0]],[0008cd027e029ea55f7e1b0d8412998af55b873b66ee35b41a700157fdb97ff94db35f17,[16119,10000000,0,26,0]]]"
        },
        "R5": {
          "serializedValue": "0c4c0e01240008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed37202700",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,0]]"
        },
        "R6": {
          "serializedValue": "1105a402d0d0608edd5c0600",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[146,791592,759623,3,0]"
        },
        "R7": {
          "serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
        }
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      "spentTransactionId": "cbc34e4dc4f6f6ee18272057bf50bc4251c74a0610a443905a0a7cff0be1e959",
      "mainChain": true
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    {
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      "value": 79000000,
      "index": 1,
      "globalIndex": 18967158,
      "creationHeight": 791592,
      "settlementHeight": 791595,
      "ergoTree": "0008cd03468b50f4c5cf9273fea501006d84b7bd3f7445da82db24c6ba56d27e623f506f",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(468b50,3a598f,...)))}",
      "address": "9gzseZdnT8vctctMBu34mNLaoXHmVWPrGvsxGbmvC5QupGxNcFE",
      "assets": [],
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      "spentTransactionId": null,
      "mainChain": true
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    {
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      "ergoTree": "0008cd02f5a91f10b3d9c467ad2ac451f5a3abc8a49d9d98275f0d1de5a94c9e7a0d54ba",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f5a91f,fffa86,...)))}",
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      "mainChain": true
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      "ergoTree": "0008cd024d7f13eab17aad180a88897f224d88b629bdb92277625584181ee2a42ac64d53",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4d7f13,be6277,...)))}",
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      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2e9807,28a994,...)))}",
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(35ed9a,84e6ca,...)))}",
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      "ergoTree": "102a040004000e204342b4a582c18a0e77218f1aa2de464ae1b46ad66c30abc6328e349e624e904704020500040404020500040405c09a0c0580897a040404020500040404000580897a050004000580897a0400040204000404040104040401050001000401040105000100040105000400040101000101050001010100d802d601b2a4730000d602c2a7d195938cb2db63087201730100017302d807d603e4c6b2a4730300040c3c0e11d604e4c67201040c3c0e11d60599b0b5a4d901056393c2720572027304d9010541639a8c720501c18c720502b0b57204d901053c0e11d801d6078c7205028fb27207730500b272077306007307d90105413c0e119a8c720501b28c8c72050202730800d606ade4c67201050c4c0ed901064c0ed801d6089d9c7e8c720602057205730986028c7206019972089e7208730ad607ada5d9010763c27207d608ada5d9010863c17208d609b0b57203d901093c0e11d801d60b8c7209028fb2720b730b00b2720b730c00730dd90109413c0e119a8c720901b28c8c72090202730e00ededaf7203d9010a3c0e11d807d60c8c720a01d60ddc0c1aad7204d9010d3c0e118c720d0102720c730fd60e8c720a02d60fdad9010f05d801d6119d9c99b072067205d90111414d0e998c7211018c8c721102029c73107eb1720305720fb072037311d90111413c0e119a8c721101b28c8c721102027312009972119e7211731301b2720e731400d610b2720e731500d611dc0c1a720702720c7316d612b2720e7317009594720d7318d801d6139ab2b2ad7204d901133c0e118c721302720d00731900720f95927213721095947211731aed93b272087211007213937212731b731ced937211731d93721272139592720f721095947211731eed93b27208721100720f937212731f7320ed9372117321937212720faf7206d9010a4d0ed801d60c8c720a029591720c7322d801d60ddc0c1a7207028c720a0173239594720d732493c1b2a5720d00720c73257326959172097327aea5d9010a63ed93c1720a720993c2720a720273287329",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "42gNKewDz89wkqCb8VJvPNFx7G54mjCkxxkKB7wGggb8oko7kY2hxBSvBP5viG5huFhbjacxeuNCCAMTSGTwRwQDkTdXY3gGLnW6K7jznbsM4hKuGs3PVuNUSovQWNhwjEUXTWkdSFc1Uj1ewCpyiZjN8zHAFpjEBhfbhaUDcHvkzamKf2xAdhC8AEXKXawVz9HwpsYvqapTKJj1oF1M82oS1F3ApxMjm33CYVeCWFUYvH95QxZHfK8magXnLhL1t5QdVPSQjad2XWc1wRXqNeGzDNAmKqpXjRAcnCF1wGQAcXhzEzfoJL5nzzmkS4wxMkbck5AHmGjqCfP8XEwD2beh2xSccKqF6q6WhSrTLHdRwTuyr1pbvxUsGd3FTip24nnGXpb8PmuHX6EcP8mJ4igjDZ9Hx9SXoNM1NosW2RtpEpTTDzvKWWPBugh427BTXEJCxPe7r1HirnqEewiPwqxw9ZA8LAJvDFRa13coswoj4rGafQ9M7Cz4LyyYmZH9khipHWzW62JtPKJGHZKiKhC1zL1jpHuRAv22n8rhFWs867ufrzQ9ceSp8anbaiZxwDNtZpjCWexSenVFVNoDFVrxJWowHbPcPmsobYkiFZCwo5dXFQt1J2qz88nZcsxdqyLAAn1ELGsdpx9Eo6Yy1YLpNygxAvFr571ajQzLGqcTV5SKmY6McXvxyf1UVeiETczQBFmBCz9DiQ5doFRgQ7C77cWbFMEWPQTaPgi2zrqUwPo679DwQckNgvgqp3ncyCUrSfmAbWF9NcVrfAD9nrRuADKK4mSR1PnftpsxArA6XShdbBgSvwqdjhvP2DR3cdZbLv5YTL3YbQjGymgzx9n6HNjxpwmdMLMWD81SgHEC8Kq3nqWJ8ZtsRZnXCkovfQmsu5mfBA5s8eF6L7d3SGfjtLjm2fgKq5BzfJoH92FJaB7Px9QA8aFyPQN7nfr9DdaaTXJg8G32KjizLAScqPJHVhKwEiR813k3tWH9eGi83aJqS4u2KsqrDUHxEzwHVPeLS7fNveXaL8iz3NU",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "cbc34e4dc4f6f6ee18272057bf50bc4251c74a0610a443905a0a7cff0be1e959",
      "mainChain": true
    },
    {
      "boxId": "a87bb2efbadb323d7bb1d354c24f09d1e9b2bc0be8521e707606ff9f4c53e64c",
      "transactionId": "0b355be8f666f81c079b452c63c19fedc14bc03d2285d1b335be2aefebd2d6fa",
      "blockId": "74bc2972cba4ce73f1a25319bd22e05f8831669b88ab0c5891caa9179f84bfd8",
      "value": 17000000,
      "index": 11,
      "globalIndex": 18967168,
      "creationHeight": 791592,
      "settlementHeight": 791595,
      "ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
      "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)}",
      "address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "2fb7fe7769b841fb6aacd29ae4dfb123cb8326d56a9d5e83267ef0cb98cf65fa",
      "mainChain": true
    },
    {
      "boxId": "3e65cb631de01b0db54cb4060d2f91bf480088bc31ea998d2c91e294ab1d8aa2",
      "transactionId": "0b355be8f666f81c079b452c63c19fedc14bc03d2285d1b335be2aefebd2d6fa",
      "blockId": "74bc2972cba4ce73f1a25319bd22e05f8831669b88ab0c5891caa9179f84bfd8",
      "value": 5000000,
      "index": 12,
      "globalIndex": 18967169,
      "creationHeight": 791592,
      "settlementHeight": 791595,
      "ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
      "address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "4ce58c63516ec9925aeee3a2e6867b7562251eb298d56f8cb2f1781fd4703ff6",
      "mainChain": true
    }
  ],
  "size": 2556,
  "isUnconfirmed": false
}