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Transaction

1/13/2022 07:02:51 PM
ID: 126d9243cd...c698
Inputs (3)
#0
940c779ca1be...8563
Spent
Address:
2SAtmk4vkfVS...WWMF
Output transaction:
079539759bad...d670
Settlement height:
663,002
Value:
0.01 ERG
Tokens:
Loading assets...
#1
3fe81c49d500...cc90
Spent
Address:
9gUibHoaeiwK...cGoU
Output transaction:
5e13e0dc3d7d...e675
Settlement height:
663,018
Value:
0.09 ERG
#2
a48e3994b9d5...cb91
Spent
Address:
3pyaMZRJbZkx...Kqpt
Output transaction:
9f5eb2789c42...585c
Settlement height:
663,018
Value:
0.257 ERG
Outputs (5)
#0
9282e7715383...c331
Unspent
Address:
2SAtmk4vkfVS...WWMF
Settlement height:
663,018
Value:
0.01 ERG
Tokens:
Loading assets...
#1
e172236456b4...ea42
Spent
Address:
9gUibHoaeiwK...cGoU
Spent in transaction:
822d807cd558...c347
Settlement height:
663,018
Value:
0.002 ERG
#2
1e3275f99dd0...3bb6
Spent
Address:
3pyaMZRJbZkx...Kqpt
Spent in transaction:
64fad62863bb...3211
Settlement height:
663,018
Value:
0.24 ERG
#3
e3a80441f3d0...759f
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
f7ee18bc791a...c441
Settlement height:
663,018
Value:
0.1 ERG
#4
c165b8755b23...d818
Spent
Address:
3pyaMZRJbZkx...Kqpt
Spent in transaction:
73296271b396...f93c
Settlement height:
663,018
Value:
0.005 ERG
Transaction Details
Status: Confirmed
Size: 5.31 KB
Received time: 1/13/2022 07:02:51 PM
Included in blocks: 663,018
Confirmations: 1,115,380
Total coins transferred: 0.357 ERG
Fees: 0.1 ERG
Fees per byte: 0.000018389 ERG
Raw Transaction Data
{
  "id": "126d9243cdf760a2c529b84b2ca19cfe5ccfecd57d756e9888471d6cefe1c698",
  "blockId": "1d47e22ecc50de4b7b38f93cc4e23b8b11b165343b11bbf8eb429c2168a354dc",
  "inclusionHeight": 663018,
  "timestamp": 1642100571124,
  "index": 10,
  "globalIndex": 2441806,
  "numConfirmations": 1115380,
  "inputs": [
    {
      "boxId": "940c779ca1be1344c04b8a91aaa46766efac432b71e4f00751cc1b24b7318563",
      "value": 10000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "479098aabc1b74224e7083baf349a993a78523f7bfdfc6f8d2f6b4f19f647443",
      "outputTransactionId": "079539759bad8a994f2c0153c2285f9296876dbba138714697971e78e5d5d670",
      "outputIndex": 7,
      "outputGlobalIndex": 11934086,
      "outputCreatedAt": 663000,
      "outputSettledAt": 663002,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 1\n4: false\n5: false\n6: 0\n7: -1\n8: false\n9: 1\n10: false\n11: 0\n12: 1\n13: 0\n14: 1\n15: 1\n16: 2\n17: 2\n18: 0\n19: 0\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: false\n26: false\n27: true",
      "ergoTreeScript": "{\n  val opt1 = SELF.R7[Coll[Long]]\n  val opt2 = SELF.R8[Coll[(Coll[Byte], Coll[Byte])]]\n  val bool3 = allOf(\n    Coll[Boolean](\n      SELF.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, SELF.R5[Coll[(Coll[Byte], Coll[Byte])]].isDefined, SELF.R6[\n        Coll[(Coll[Byte], Int)]\n      ].isDefined, opt1.isDefined, opt2.isDefined, INPUTS(placeholder[Int](0)) == SELF\n    )\n  )\n  val box4 = INPUTS(placeholder[Int](1))\n  val opt5 = box4.R5[Coll[(Coll[Byte], Coll[Byte])]]\n  val opt6 = box4.R4[Coll[(Coll[Byte], Coll[Long])]]\n  val box7 = OUTPUTS(placeholder[Int](2))\n  val opt8 = box7.R7[Coll[Long]]\n  val coll9 = box7.tokens\n  if (bool3) {\n    sigmaProp(\n      if (if (if (if (bool3) { opt2.get.exists({(tuple10: (Coll[Byte], Coll[Byte])) => tuple10._1 == INPUTS(placeholder[Int](3)).propositionBytes }) } else {\n        placeholder[Boolean](4)\n      }) {\n        allOf(\n          Coll[Boolean](\n            box4.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box4.R5[Coll[(Coll[Byte], Coll[Byte])]].isDefined, box4.R6[\n              Coll[(Coll[Byte], Int)]\n            ].isDefined, box4.R7[Coll[Long]].isDefined, box4.R8[Coll[(Coll[Byte], Coll[Byte])]].isDefined\n          )\n        )\n      } else { placeholder[Boolean](5) }) {\n        opt5.get.forall(\n          {(tuple10: (Coll[Byte], Coll[Byte])) =>\n            opt6.get.map({(tuple12: (Coll[Byte], Coll[Long])) => tuple12._1 }).indexOf(tuple10._1, placeholder[Int](6)) != placeholder[Int](7)\n          }\n        )\n      } else { placeholder[Boolean](8) } && if (if (box7.propositionBytes == SELF.propositionBytes) {\n        allOf(\n          Coll[Boolean](\n            box7.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box7.R5[Coll[(Coll[Byte], Coll[Byte])]].isDefined, box7.R6[\n              Coll[(Coll[Byte], Int)]\n            ].isDefined, box7.R7[Coll[Long]].isDefined, box7.R8[\n              Coll[(Coll[Byte], Coll[Byte])]\n            ].isDefined, box7.value == SELF.value, box7.tokens.size == placeholder[Int](9)\n          )\n        )\n      } else { placeholder[Boolean](10) }) {(\n        val coll10 = opt8.get\n        val coll11 = opt1.get\n        val l12 = coll11(placeholder[Int](11))\n        val l13 = coll10(placeholder[Int](12))\n        (\n          ((coll10(placeholder[Int](13)) == l12 + placeholder[Long](14)) && ((l13 <= HEIGHT.toLong) && (l13 > coll11(placeholder[Int](15))))) && (\n            coll10(placeholder[Int](16)) == coll11(placeholder[Int](17))\n          )\n        ) && if (l12 != placeholder[Long](18)) { SELF.tokens(placeholder[Int](19))._1 == coll9(placeholder[Int](20))._1 } else {(\n          val coll14 = SELF.tokens\n          if (coll14.size > placeholder[Int](21)) { coll14(placeholder[Int](22))._1 == coll9(placeholder[Int](23))._1 } else {\n            coll9(placeholder[Int](24))._1 == SELF.id\n          }\n        )}\n      )} else { placeholder[Boolean](25) }) {\n        allOf(\n          Coll[Boolean](\n            box7.R4[Coll[(Coll[Byte], Coll[Long])]].get == opt6.get, box7.R5[Coll[(Coll[Byte], Coll[Byte])]].get == opt5.get, box7.R6[\n              Coll[(Coll[Byte], Int)]\n            ].get == box4.R6[Coll[(Coll[Byte], Int)]].get, opt8.get == box4.R7[Coll[Long]].get, box7.R8[Coll[(Coll[Byte], Coll[Byte])]].get == box4.R8[\n              Coll[(Coll[Byte], Coll[Byte])]\n            ].get\n          )\n        )\n      } else { placeholder[Boolean](26) }\n    )\n  } else { sigmaProp(placeholder[Boolean](27)) }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "027ff918af44b256e5d39319416a7beb5888467ab5d7b678847425c8a51a40f3",
          "index": 0,
          "amount": 1,
          "name": "GetBlok.io SmartPool Display Token",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0c3c0e0e01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7333967556962486f616569774b5a53707967685a4536594d455a564a753977734b7a465332335778525671366e7a547663476f55",
          "sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
          "renderedValue": "[[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7,3967556962486f616569774b5a53707967685a4536594d455a564a753977734b7a465332335778525671366e7a547663476f55]]"
        },
        "R6": {
          "serializedValue": "0c4c0e01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb714",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7,10]]"
        },
        "R8": {
          "serializedValue": "0c3c0e0e01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7333967556962486f616569774b5a53707967685a4536594d455a564a753977734b7a465332335778525671366e7a547663476f55",
          "sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
          "renderedValue": "[[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7,3967556962486f616569774b5a53707967685a4536594d455a564a753977734b7a465332335778525671366e7a547663476f55]]"
        },
        "R7": {
          "serializedValue": "110400b0f750b0f7500e",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,663000,663000,7]"
        },
        "R4": {
          "serializedValue": "0c3c0e1101240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb703028084af5f00",
          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7,[1,100000000,0]]]"
        }
      }
    },
    {
      "boxId": "3fe81c49d5000b2d576aa8d3c82812769d9352a02c4000245e1c441db90ecc90",
      "value": 90000000,
      "index": 1,
      "spendingProof": "e5f808726f96fd29e13475f7f64321039b3792ddec2af693d2565713bc073edf9dd551409f0e985eeb17a03f263a0b878cc5850dc184ba63",
      "outputBlockId": "1d47e22ecc50de4b7b38f93cc4e23b8b11b165343b11bbf8eb429c2168a354dc",
      "outputTransactionId": "5e13e0dc3d7da2162512e37c74396cb2ddff1413527d5fc04d35b88689e5e675",
      "outputIndex": 3,
      "outputGlobalIndex": 11934886,
      "outputCreatedAt": 663016,
      "outputSettledAt": 663018,
      "ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
      "address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "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",
          "sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
          "renderedValue": "[[0008cd03999546a7fc3a8ff93180db30006af58468fb05fa841387aed70d3a2c70ca3b00,396864536d4e584d6238796d4d6f547036593437574459347a746e763233785573554b6d5a593674786378674c7a56364b716b],[0008cd037e181d6f1af46280415602995dc0cd2bd65695b248274b1b2dfa9322e1b573c8,3968524c626666594c5741526a794834526e387969316f376145476e54396245623936365138593374616b7a65464b62686e7a],[0008cd03855fb730d2a989ed3918229780482951a1c2543f6dd571f75032714ddbc5fd89,39685559596d3979444b4d4a594b4736456a664e4c473674554356464d554d35795067656a50704e526b6651635a654d716863],[0008cd0220d96e01564d35afe98f7f8bcc986ec6fd6b93e8a002b1d6f688b21224d279d2,39656d58634172567639504a5a3932637a424b5453697a796671384b426f6350677577444c6a5a64346d48525469717a587677],[0008cd029067df40ef162b5b0f0b3a4989cbd4c850eb87c8e84129bd941fa6fe1aa0fe7c,39666366416232626948745336755152464567383370595354554e6a706b7a657a364b377636736132516466436e3743357552],[0008cd022067bdd41b766c0094ab26b9d36b9f6759483afd511ab6cbc21d757e0d894252,39656d4c47454b526944615367396e716a64624e325178624c566a6e556a5563445652587a6336365143713772666f6b356146],[0008cd03651dfa32c71b302543ef6a896d15f4e2968dce3fcedff282c2c0f578a1139d80,3968454c62486f43474b473173627643373475356e4a544e55675664717a47345a584a596a716e4445544b4837615176707053],[0008cd0374034c2e6cc579f25d4d954b142d77f3729f332d5e9e1e411825ac65c5fc91f7,39684c7535735452726f6f45456a5165324b6e555368667a503437737331514436574a7a39477175554e453275595736505738],[0008cd0220d3401007066f64119461bd401698f901c7c32a6f8c80fdd32611e651decf09,39656d577a5166374b4b447137353763744373527759627150436239657476674143567565365870454338566d4d5948736e42],[0008cd02c660942ffdd2330fd17e3da4475bc0ee1d6725670ae6f0b740ba6ba1d856d5e1,396732526f376854473747486e6d773135767671747a316d46585154544d6e31517872677a4e33557a7a73763475794d4e7046]]"
        },
        "R6": {
          "serializedValue": "0c4c0e01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb702",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7,1]]"
        },
        "R8": {
          "serializedValue": "0c3c0e0e01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7333967556962486f616569774b5a53707967685a4536594d455a564a753977734b7a465332335778525671366e7a547663476f55",
          "sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
          "renderedValue": "[[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7,3967556962486f616569774b5a53707967685a4536594d455a564a753977734b7a465332335778525671366e7a547663476f55]]"
        },
        "R7": {
          "serializedValue": "110402d0f750b0f7500e",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,663016,663000,7]"
        },
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd03999546a7fc3a8ff93180db30006af58468fb05fa841387aed70d3a2c70ca3b00,[10094,100000000,4000000]],[0008cd037e181d6f1af46280415602995dc0cd2bd65695b248274b1b2dfa9322e1b573c8,[281545,40000000000,136000000]],[0008cd03855fb730d2a989ed3918229780482951a1c2543f6dd571f75032714ddbc5fd89,[26591,1000000000,12000000]],[0008cd0220d96e01564d35afe98f7f8bcc986ec6fd6b93e8a002b1d6f688b21224d279d2,[71213,100000000,34000000]],[0008cd029067df40ef162b5b0f0b3a4989cbd4c850eb87c8e84129bd941fa6fe1aa0fe7c,[45461,100000000,22000000]],[0008cd022067bdd41b766c0094ab26b9d36b9f6759483afd511ab6cbc21d757e0d894252,[9399,1000000000,4000000]],[0008cd03651dfa32c71b302543ef6a896d15f4e2968dce3fcedff282c2c0f578a1139d80,[6378,100000000,3000000]],[0008cd0374034c2e6cc579f25d4d954b142d77f3729f332d5e9e1e411825ac65c5fc91f7,[27885,400000000,13000000]],[0008cd0220d3401007066f64119461bd401698f901c7c32a6f8c80fdd32611e651decf09,[23833,100000000,11000000]],[0008cd02c660942ffdd2330fd17e3da4475bc0ee1d6725670ae6f0b740ba6ba1d856d5e1,[2757,100000000,1000000]]]"
        }
      }
    },
    {
      "boxId": "a48e3994b9d502feb525a83892d52e3c898f14a778d8736512d180b47426cb91",
      "value": 257000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "1d47e22ecc50de4b7b38f93cc4e23b8b11b165343b11bbf8eb429c2168a354dc",
      "outputTransactionId": "9f5eb2789c4278c9ab70343301811ce5a9d4bbd5d3643bf7cf95b1d1ae66585c",
      "outputIndex": 3,
      "outputGlobalIndex": 11934870,
      "outputCreatedAt": 663016,
      "outputSettledAt": 663018,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(2,127,-7,24,-81,68,-78,86,-27,-45,-109,25,65,106,123,-21,88,-120,70,122,-75,-41,-74,120,-124,116,37,-56,-91,26,64,-13)\n2: 1\n3: 0\n4: true\n5: 1\n6: true\n7: false\n8: 1\n9: 0\n10: 2\n11: 1\n12: 0\n13: 2\n14: 1000\n15: 1000000\n16: 2\n17: 1\n18: 0\n19: 2\n20: 0\n21: 1000000\n22: 0\n23: 0\n24: 1000000\n25: 0\n26: 1\n27: 0\n28: 2\n29: -1\n30: 2\n31: -1\n32: 0\n33: false\n34: -1\n35: -1\n36: 0\n37: false\n38: -1\n39: 0\n40: 0\n41: -1\n42: false\n43: true\n44: 0\n45: true\n46: 0\n47: 0\n48: 0\n49: 0\n50: 0\n51: false\n52: Coll(16,28,4,0,4,2,4,0,4,2,1,0,1,0,4,0,4,1,1,0,4,2,1,0,4,0,4,2,4,0,5,2,4,2,4,4,4,4,5,0,4,0,4,0,4,0,4,0,4,0,4,0,1,0,1,0,1,1,-40,9,-42,1,-58,-89,7,17,-42,2,-58,-89,8,12,60,14,14,-42,3,-106,-125,6,1,-26,-58,-89,4,12,60,14,17,-26,-58,-89,5,12,60,14,14,-26,-58,-89)\n53: true",
      "ergoTreeScript": "{\n  val coll1 = SELF.propositionBytes\n  val coll2 = INPUTS.filter({(box2: Box) => box2.propositionBytes == coll1 })\n  val i3 = coll2.size\n  val box4 = INPUTS(placeholder[Int](0))\n  val coll5 = placeholder[Coll[Byte]](1)\n  if (!if ((i3 > placeholder[Int](2)) && (coll2(placeholder[Int](3)).id == SELF.id)) { placeholder[Boolean](4) } else {\n    if (i3 == placeholder[Int](5)) { placeholder[Boolean](6) } else { placeholder[Boolean](7) }\n  }) { sigmaProp({(bool6: Boolean) => if (bool6) {(\n          val coll8 = INPUTS(placeholder[Int](8)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n          val coll9 = box4.R4[Coll[(Coll[Byte], Coll[Long])]].get\n          val l10 = coll2.fold(placeholder[Long](9), {(tuple10: (Long, Box)) => tuple10._1 + tuple10._2.value }) - coll9.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n              val coll12 = tuple10._2\n              coll12(placeholder[Int](10)) < coll12(placeholder[Int](11))\n            }).fold(placeholder[Long](12), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](13)) })\n          val coll11 = box4.R6[Coll[(Coll[Byte], Int)]].get.map({(tuple11: (Coll[Byte], Int)) =>\n              val l13 = tuple11._2.toLong * l10 / placeholder[Long](14)\n              (tuple11._1, l13 - l13 % placeholder[Long](15))\n            })\n          val coll12 = OUTPUTS.map({(box12: Box) => box12.propositionBytes })\n          val coll13 = OUTPUTS.map({(box13: Box) => box13.value })\n          val l14 = coll8.filter({(tuple14: (Coll[Byte], Coll[Long])) =>\n              val coll16 = tuple14._2\n              coll16(placeholder[Int](16)) < coll16(placeholder[Int](17))\n            }).fold(placeholder[Long](18), {(tuple14: (Long, (Coll[Byte], Coll[Long]))) => tuple14._1 + tuple14._2._2(placeholder[Int](19)) })\n          ((coll8.forall({(tuple15: (Coll[Byte], Coll[Long])) =>\n                  val coll17 = tuple15._1\n                  val i18 = coll9.map({(tuple18: (Coll[Byte], Coll[Long])) => tuple18._1 }).indexOf(coll17, placeholder[Int](20))\n                  val coll19 = tuple15._2\n                  val l20 = {(l20: Long) =>\n                    val l22 = coll11.fold(l10, {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 - tuple22._2._2 }) - placeholder[Long](21) * coll8.size.toLong * l20 / coll8.fold(placeholder[Long](22), {(tuple22: (Long, (Coll[Byte], Coll[Long]))) => tuple22._1 + tuple22._2._2(placeholder[Int](23)) })\n                    l22 - l22 % placeholder[Long](24)\n                  }(coll19(placeholder[Int](25)))\n                  val l21 = coll19(placeholder[Int](26))\n                  val i22 = coll12.indexOf(coll17, placeholder[Int](27))\n                  val l23 = coll19(placeholder[Int](28))\n                  if (i18 != placeholder[Int](29)) {(\n                    val l24 = coll9.map({(tuple24: (Coll[Byte], Coll[Long])) => tuple24._2 })(i18)(placeholder[Int](30)) + l20\n                    if (l24 >= l21) { if (i22 != placeholder[Int](31)) { (coll13(i22) == l24) && (l23 == placeholder[Long](32)) } else { placeholder[Boolean](33) } } else { (i22 == placeholder[Int](34)) && (l23 == l24) }\n                  )} else { if (l20 >= l21) { if (i22 != placeholder[Int](35)) { (coll13(i22) == l20) && (l23 == placeholder[Long](36)) } else { placeholder[Boolean](37) } } else { (i22 == placeholder[Int](38)) && (l23 == l20) } }\n                }) && coll11.forall({(tuple15: (Coll[Byte], Long)) =>\n                  val l17 = tuple15._2\n                  if (l17 > placeholder[Long](39)) {(\n                    val i18 = coll12.indexOf(tuple15._1, placeholder[Int](40))\n                    if (i18 != placeholder[Int](41)) { OUTPUTS(i18).value == l17 } else { placeholder[Boolean](42) }\n                  )} else { placeholder[Boolean](43) }\n                })) && if (l14 > placeholder[Long](44)) { OUTPUTS.exists({(box15: Box) => (box15.value == l14) && (box15.propositionBytes == coll1) }) } else { placeholder[Boolean](45) }) && if (box4.R7[Coll[Long]].get(placeholder[Int](46)) != placeholder[Long](47)) { box4.tokens(placeholder[Int](48))._1 == coll5 } else {(\n            val coll15 = box4.tokens\n            if (coll15.size > placeholder[Int](49)) { coll15(placeholder[Int](50))._1 == coll5 } else { box4.id == coll5 }\n          )}\n        )} else { placeholder[Boolean](51) } }(box4.propositionBytes == placeholder[Coll[Byte]](52))) } else { sigmaProp(placeholder[Boolean](53)) }\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "9282e771538339db29cf94ad7436923fffe2ca72411c1b198d4d040daf82c331",
      "transactionId": "126d9243cdf760a2c529b84b2ca19cfe5ccfecd57d756e9888471d6cefe1c698",
      "blockId": "1d47e22ecc50de4b7b38f93cc4e23b8b11b165343b11bbf8eb429c2168a354dc",
      "value": 10000000,
      "index": 0,
      "globalIndex": 11934925,
      "creationHeight": 663016,
      "settlementHeight": 663018,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 1\n4: false\n5: false\n6: 0\n7: -1\n8: false\n9: 1\n10: false\n11: 0\n12: 1\n13: 0\n14: 1\n15: 1\n16: 2\n17: 2\n18: 0\n19: 0\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: false\n26: false\n27: true",
      "ergoTreeScript": "{\n  val opt1 = SELF.R7[Coll[Long]]\n  val opt2 = SELF.R8[Coll[(Coll[Byte], Coll[Byte])]]\n  val bool3 = allOf(\n    Coll[Boolean](\n      SELF.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, SELF.R5[Coll[(Coll[Byte], Coll[Byte])]].isDefined, SELF.R6[\n        Coll[(Coll[Byte], Int)]\n      ].isDefined, opt1.isDefined, opt2.isDefined, INPUTS(placeholder[Int](0)) == SELF\n    )\n  )\n  val box4 = INPUTS(placeholder[Int](1))\n  val opt5 = box4.R5[Coll[(Coll[Byte], Coll[Byte])]]\n  val opt6 = box4.R4[Coll[(Coll[Byte], Coll[Long])]]\n  val box7 = OUTPUTS(placeholder[Int](2))\n  val opt8 = box7.R7[Coll[Long]]\n  val coll9 = box7.tokens\n  if (bool3) {\n    sigmaProp(\n      if (if (if (if (bool3) { opt2.get.exists({(tuple10: (Coll[Byte], Coll[Byte])) => tuple10._1 == INPUTS(placeholder[Int](3)).propositionBytes }) } else {\n        placeholder[Boolean](4)\n      }) {\n        allOf(\n          Coll[Boolean](\n            box4.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box4.R5[Coll[(Coll[Byte], Coll[Byte])]].isDefined, box4.R6[\n              Coll[(Coll[Byte], Int)]\n            ].isDefined, box4.R7[Coll[Long]].isDefined, box4.R8[Coll[(Coll[Byte], Coll[Byte])]].isDefined\n          )\n        )\n      } else { placeholder[Boolean](5) }) {\n        opt5.get.forall(\n          {(tuple10: (Coll[Byte], Coll[Byte])) =>\n            opt6.get.map({(tuple12: (Coll[Byte], Coll[Long])) => tuple12._1 }).indexOf(tuple10._1, placeholder[Int](6)) != placeholder[Int](7)\n          }\n        )\n      } else { placeholder[Boolean](8) } && if (if (box7.propositionBytes == SELF.propositionBytes) {\n        allOf(\n          Coll[Boolean](\n            box7.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box7.R5[Coll[(Coll[Byte], Coll[Byte])]].isDefined, box7.R6[\n              Coll[(Coll[Byte], Int)]\n            ].isDefined, box7.R7[Coll[Long]].isDefined, box7.R8[\n              Coll[(Coll[Byte], Coll[Byte])]\n            ].isDefined, box7.value == SELF.value, box7.tokens.size == placeholder[Int](9)\n          )\n        )\n      } else { placeholder[Boolean](10) }) {(\n        val coll10 = opt8.get\n        val coll11 = opt1.get\n        val l12 = coll11(placeholder[Int](11))\n        val l13 = coll10(placeholder[Int](12))\n        (\n          ((coll10(placeholder[Int](13)) == l12 + placeholder[Long](14)) && ((l13 <= HEIGHT.toLong) && (l13 > coll11(placeholder[Int](15))))) && (\n            coll10(placeholder[Int](16)) == coll11(placeholder[Int](17))\n          )\n        ) && if (l12 != placeholder[Long](18)) { SELF.tokens(placeholder[Int](19))._1 == coll9(placeholder[Int](20))._1 } else {(\n          val coll14 = SELF.tokens\n          if (coll14.size > placeholder[Int](21)) { coll14(placeholder[Int](22))._1 == coll9(placeholder[Int](23))._1 } else {\n            coll9(placeholder[Int](24))._1 == SELF.id\n          }\n        )}\n      )} else { placeholder[Boolean](25) }) {\n        allOf(\n          Coll[Boolean](\n            box7.R4[Coll[(Coll[Byte], Coll[Long])]].get == opt6.get, box7.R5[Coll[(Coll[Byte], Coll[Byte])]].get == opt5.get, box7.R6[\n              Coll[(Coll[Byte], Int)]\n            ].get == box4.R6[Coll[(Coll[Byte], Int)]].get, opt8.get == box4.R7[Coll[Long]].get, box7.R8[Coll[(Coll[Byte], Coll[Byte])]].get == box4.R8[\n              Coll[(Coll[Byte], Coll[Byte])]\n            ].get\n          )\n        )\n      } else { placeholder[Boolean](26) }\n    )\n  } else { sigmaProp(placeholder[Boolean](27)) }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "027ff918af44b256e5d39319416a7beb5888467ab5d7b678847425c8a51a40f3",
          "index": 0,
          "amount": 1,
          "name": "GetBlok.io SmartPool Display Token",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
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          "serializedValue": "0c4c0e01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb702",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7,1]]"
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          "renderedValue": "[[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7,3967556962486f616569774b5a53707967685a4536594d455a564a753977734b7a465332335778525671366e7a547663476f55]]"
        },
        "R7": {
          "serializedValue": "110402d0f750b0f7500e",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,663016,663000,7]"
        },
        "R4": {
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      "mainChain": true
    },
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      "creationHeight": 663016,
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      "ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
      "address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
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      "creationHeight": 663016,
      "settlementHeight": 663018,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(2,127,-7,24,-81,68,-78,86,-27,-45,-109,25,65,106,123,-21,88,-120,70,122,-75,-41,-74,120,-124,116,37,-56,-91,26,64,-13)\n2: 1\n3: 0\n4: true\n5: 1\n6: true\n7: false\n8: 1\n9: 0\n10: 2\n11: 1\n12: 0\n13: 2\n14: 1000\n15: 1000000\n16: 2\n17: 1\n18: 0\n19: 2\n20: 0\n21: 1000000\n22: 0\n23: 0\n24: 1000000\n25: 0\n26: 1\n27: 0\n28: 2\n29: -1\n30: 2\n31: -1\n32: 0\n33: false\n34: -1\n35: -1\n36: 0\n37: false\n38: -1\n39: 0\n40: 0\n41: -1\n42: false\n43: true\n44: 0\n45: true\n46: 0\n47: 0\n48: 0\n49: 0\n50: 0\n51: false\n52: Coll(16,28,4,0,4,2,4,0,4,2,1,0,1,0,4,0,4,1,1,0,4,2,1,0,4,0,4,2,4,0,5,2,4,2,4,4,4,4,5,0,4,0,4,0,4,0,4,0,4,0,4,0,1,0,1,0,1,1,-40,9,-42,1,-58,-89,7,17,-42,2,-58,-89,8,12,60,14,14,-42,3,-106,-125,6,1,-26,-58,-89,4,12,60,14,17,-26,-58,-89,5,12,60,14,14,-26,-58,-89)\n53: true",
      "ergoTreeScript": "{\n  val coll1 = SELF.propositionBytes\n  val coll2 = INPUTS.filter({(box2: Box) => box2.propositionBytes == coll1 })\n  val i3 = coll2.size\n  val box4 = INPUTS(placeholder[Int](0))\n  val coll5 = placeholder[Coll[Byte]](1)\n  if (!if ((i3 > placeholder[Int](2)) && (coll2(placeholder[Int](3)).id == SELF.id)) { placeholder[Boolean](4) } else {\n    if (i3 == placeholder[Int](5)) { placeholder[Boolean](6) } else { placeholder[Boolean](7) }\n  }) { sigmaProp({(bool6: Boolean) => if (bool6) {(\n          val coll8 = INPUTS(placeholder[Int](8)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n          val coll9 = box4.R4[Coll[(Coll[Byte], Coll[Long])]].get\n          val l10 = coll2.fold(placeholder[Long](9), {(tuple10: (Long, Box)) => tuple10._1 + tuple10._2.value }) - coll9.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n              val coll12 = tuple10._2\n              coll12(placeholder[Int](10)) < coll12(placeholder[Int](11))\n            }).fold(placeholder[Long](12), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](13)) })\n          val coll11 = box4.R6[Coll[(Coll[Byte], Int)]].get.map({(tuple11: (Coll[Byte], Int)) =>\n              val l13 = tuple11._2.toLong * l10 / placeholder[Long](14)\n              (tuple11._1, l13 - l13 % placeholder[Long](15))\n            })\n          val coll12 = OUTPUTS.map({(box12: Box) => box12.propositionBytes })\n          val coll13 = OUTPUTS.map({(box13: Box) => box13.value })\n          val l14 = coll8.filter({(tuple14: (Coll[Byte], Coll[Long])) =>\n              val coll16 = tuple14._2\n              coll16(placeholder[Int](16)) < coll16(placeholder[Int](17))\n            }).fold(placeholder[Long](18), {(tuple14: (Long, (Coll[Byte], Coll[Long]))) => tuple14._1 + tuple14._2._2(placeholder[Int](19)) })\n          ((coll8.forall({(tuple15: (Coll[Byte], Coll[Long])) =>\n                  val coll17 = tuple15._1\n                  val i18 = coll9.map({(tuple18: (Coll[Byte], Coll[Long])) => tuple18._1 }).indexOf(coll17, placeholder[Int](20))\n                  val coll19 = tuple15._2\n                  val l20 = {(l20: Long) =>\n                    val l22 = coll11.fold(l10, {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 - tuple22._2._2 }) - placeholder[Long](21) * coll8.size.toLong * l20 / coll8.fold(placeholder[Long](22), {(tuple22: (Long, (Coll[Byte], Coll[Long]))) => tuple22._1 + tuple22._2._2(placeholder[Int](23)) })\n                    l22 - l22 % placeholder[Long](24)\n                  }(coll19(placeholder[Int](25)))\n                  val l21 = coll19(placeholder[Int](26))\n                  val i22 = coll12.indexOf(coll17, placeholder[Int](27))\n                  val l23 = coll19(placeholder[Int](28))\n                  if (i18 != placeholder[Int](29)) {(\n                    val l24 = coll9.map({(tuple24: (Coll[Byte], Coll[Long])) => tuple24._2 })(i18)(placeholder[Int](30)) + l20\n                    if (l24 >= l21) { if (i22 != placeholder[Int](31)) { (coll13(i22) == l24) && (l23 == placeholder[Long](32)) } else { placeholder[Boolean](33) } } else { (i22 == placeholder[Int](34)) && (l23 == l24) }\n                  )} else { if (l20 >= l21) { if (i22 != placeholder[Int](35)) { (coll13(i22) == l20) && (l23 == placeholder[Long](36)) } else { placeholder[Boolean](37) } } else { (i22 == placeholder[Int](38)) && (l23 == l20) } }\n                }) && coll11.forall({(tuple15: (Coll[Byte], Long)) =>\n                  val l17 = tuple15._2\n                  if (l17 > placeholder[Long](39)) {(\n                    val i18 = coll12.indexOf(tuple15._1, placeholder[Int](40))\n                    if (i18 != placeholder[Int](41)) { OUTPUTS(i18).value == l17 } else { placeholder[Boolean](42) }\n                  )} else { placeholder[Boolean](43) }\n                })) && if (l14 > placeholder[Long](44)) { OUTPUTS.exists({(box15: Box) => (box15.value == l14) && (box15.propositionBytes == coll1) }) } else { placeholder[Boolean](45) }) && if (box4.R7[Coll[Long]].get(placeholder[Int](46)) != placeholder[Long](47)) { box4.tokens(placeholder[Int](48))._1 == coll5 } else {(\n            val coll15 = box4.tokens\n            if (coll15.size > placeholder[Int](49)) { coll15(placeholder[Int](50))._1 == coll5 } else { box4.id == coll5 }\n          )}\n        )} else { placeholder[Boolean](51) } }(box4.propositionBytes == placeholder[Coll[Byte]](52))) } else { sigmaProp(placeholder[Boolean](53)) }\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "64fad62863bb76239a568610c36b6ecf92c9241dd45475305701cdaaa6c03211",
      "mainChain": true
    },
    {
      "boxId": "e3a80441f3d09039851dc8d30e1cc424385f6d897f814b2c08031db19118759f",
      "transactionId": "126d9243cdf760a2c529b84b2ca19cfe5ccfecd57d756e9888471d6cefe1c698",
      "blockId": "1d47e22ecc50de4b7b38f93cc4e23b8b11b165343b11bbf8eb429c2168a354dc",
      "value": 100000000,
      "index": 3,
      "globalIndex": 11934928,
      "creationHeight": 663016,
      "settlementHeight": 663018,
      "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": "f7ee18bc791a548f1463614aa2fd1102cb21b03c2a547326dcfad7113cccc441",
      "mainChain": true
    },
    {
      "boxId": "c165b8755b2356d33c0e87da144b648c7578d7b86fc5c1d23ed09d3852bed818",
      "transactionId": "126d9243cdf760a2c529b84b2ca19cfe5ccfecd57d756e9888471d6cefe1c698",
      "blockId": "1d47e22ecc50de4b7b38f93cc4e23b8b11b165343b11bbf8eb429c2168a354dc",
      "value": 5000000,
      "index": 4,
      "globalIndex": 11934929,
      "creationHeight": 663016,
      "settlementHeight": 663018,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(2,127,-7,24,-81,68,-78,86,-27,-45,-109,25,65,106,123,-21,88,-120,70,122,-75,-41,-74,120,-124,116,37,-56,-91,26,64,-13)\n2: 1\n3: 0\n4: true\n5: 1\n6: true\n7: false\n8: 1\n9: 0\n10: 2\n11: 1\n12: 0\n13: 2\n14: 1000\n15: 1000000\n16: 2\n17: 1\n18: 0\n19: 2\n20: 0\n21: 1000000\n22: 0\n23: 0\n24: 1000000\n25: 0\n26: 1\n27: 0\n28: 2\n29: -1\n30: 2\n31: -1\n32: 0\n33: false\n34: -1\n35: -1\n36: 0\n37: false\n38: -1\n39: 0\n40: 0\n41: -1\n42: false\n43: true\n44: 0\n45: true\n46: 0\n47: 0\n48: 0\n49: 0\n50: 0\n51: false\n52: Coll(16,28,4,0,4,2,4,0,4,2,1,0,1,0,4,0,4,1,1,0,4,2,1,0,4,0,4,2,4,0,5,2,4,2,4,4,4,4,5,0,4,0,4,0,4,0,4,0,4,0,4,0,1,0,1,0,1,1,-40,9,-42,1,-58,-89,7,17,-42,2,-58,-89,8,12,60,14,14,-42,3,-106,-125,6,1,-26,-58,-89,4,12,60,14,17,-26,-58,-89,5,12,60,14,14,-26,-58,-89)\n53: true",
      "ergoTreeScript": "{\n  val coll1 = SELF.propositionBytes\n  val coll2 = INPUTS.filter({(box2: Box) => box2.propositionBytes == coll1 })\n  val i3 = coll2.size\n  val box4 = INPUTS(placeholder[Int](0))\n  val coll5 = placeholder[Coll[Byte]](1)\n  if (!if ((i3 > placeholder[Int](2)) && (coll2(placeholder[Int](3)).id == SELF.id)) { placeholder[Boolean](4) } else {\n    if (i3 == placeholder[Int](5)) { placeholder[Boolean](6) } else { placeholder[Boolean](7) }\n  }) { sigmaProp({(bool6: Boolean) => if (bool6) {(\n          val coll8 = INPUTS(placeholder[Int](8)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n          val coll9 = box4.R4[Coll[(Coll[Byte], Coll[Long])]].get\n          val l10 = coll2.fold(placeholder[Long](9), {(tuple10: (Long, Box)) => tuple10._1 + tuple10._2.value }) - coll9.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n              val coll12 = tuple10._2\n              coll12(placeholder[Int](10)) < coll12(placeholder[Int](11))\n            }).fold(placeholder[Long](12), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](13)) })\n          val coll11 = box4.R6[Coll[(Coll[Byte], Int)]].get.map({(tuple11: (Coll[Byte], Int)) =>\n              val l13 = tuple11._2.toLong * l10 / placeholder[Long](14)\n              (tuple11._1, l13 - l13 % placeholder[Long](15))\n            })\n          val coll12 = OUTPUTS.map({(box12: Box) => box12.propositionBytes })\n          val coll13 = OUTPUTS.map({(box13: Box) => box13.value })\n          val l14 = coll8.filter({(tuple14: (Coll[Byte], Coll[Long])) =>\n              val coll16 = tuple14._2\n              coll16(placeholder[Int](16)) < coll16(placeholder[Int](17))\n            }).fold(placeholder[Long](18), {(tuple14: (Long, (Coll[Byte], Coll[Long]))) => tuple14._1 + tuple14._2._2(placeholder[Int](19)) })\n          ((coll8.forall({(tuple15: (Coll[Byte], Coll[Long])) =>\n                  val coll17 = tuple15._1\n                  val i18 = coll9.map({(tuple18: (Coll[Byte], Coll[Long])) => tuple18._1 }).indexOf(coll17, placeholder[Int](20))\n                  val coll19 = tuple15._2\n                  val l20 = {(l20: Long) =>\n                    val l22 = coll11.fold(l10, {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 - tuple22._2._2 }) - placeholder[Long](21) * coll8.size.toLong * l20 / coll8.fold(placeholder[Long](22), {(tuple22: (Long, (Coll[Byte], Coll[Long]))) => tuple22._1 + tuple22._2._2(placeholder[Int](23)) })\n                    l22 - l22 % placeholder[Long](24)\n                  }(coll19(placeholder[Int](25)))\n                  val l21 = coll19(placeholder[Int](26))\n                  val i22 = coll12.indexOf(coll17, placeholder[Int](27))\n                  val l23 = coll19(placeholder[Int](28))\n                  if (i18 != placeholder[Int](29)) {(\n                    val l24 = coll9.map({(tuple24: (Coll[Byte], Coll[Long])) => tuple24._2 })(i18)(placeholder[Int](30)) + l20\n                    if (l24 >= l21) { if (i22 != placeholder[Int](31)) { (coll13(i22) == l24) && (l23 == placeholder[Long](32)) } else { placeholder[Boolean](33) } } else { (i22 == placeholder[Int](34)) && (l23 == l24) }\n                  )} else { if (l20 >= l21) { if (i22 != placeholder[Int](35)) { (coll13(i22) == l20) && (l23 == placeholder[Long](36)) } else { placeholder[Boolean](37) } } else { (i22 == placeholder[Int](38)) && (l23 == l20) } }\n                }) && coll11.forall({(tuple15: (Coll[Byte], Long)) =>\n                  val l17 = tuple15._2\n                  if (l17 > placeholder[Long](39)) {(\n                    val i18 = coll12.indexOf(tuple15._1, placeholder[Int](40))\n                    if (i18 != placeholder[Int](41)) { OUTPUTS(i18).value == l17 } else { placeholder[Boolean](42) }\n                  )} else { placeholder[Boolean](43) }\n                })) && if (l14 > placeholder[Long](44)) { OUTPUTS.exists({(box15: Box) => (box15.value == l14) && (box15.propositionBytes == coll1) }) } else { placeholder[Boolean](45) }) && if (box4.R7[Coll[Long]].get(placeholder[Int](46)) != placeholder[Long](47)) { box4.tokens(placeholder[Int](48))._1 == coll5 } else {(\n            val coll15 = box4.tokens\n            if (coll15.size > placeholder[Int](49)) { coll15(placeholder[Int](50))._1 == coll5 } else { box4.id == coll5 }\n          )}\n        )} else { placeholder[Boolean](51) } }(box4.propositionBytes == placeholder[Coll[Byte]](52))) } else { sigmaProp(placeholder[Boolean](53)) }\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "73296271b3968ffd9509a478bc56cce6513446c5d77050c845297ef5b282f93c",
      "mainChain": true
    }
  ],
  "size": 5438,
  "isUnconfirmed": false
}