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Transaction

1/13/2022 08:18:02 PM
ID: 9088c4c83e...2133
Inputs (3)
#0
aaa2f839e05b...d6d9
Spent
Address:
2SAtmk4vkfVS...WWMF
Output transaction:
809fb7b329f7...3b99
Settlement height:
663,046
Value:
0.01 ERG
Tokens:
Loading assets...
#1
20de118c781a...7437
Spent
Address:
9gUibHoaeiwK...cGoU
Output transaction:
7ca8c13e7fba...2b54
Settlement height:
663,051
Value:
0.09 ERG
#2
29d3249f0593...eaa5
Spent
Address:
3pyaMZRJbtjF...2vsu
Output transaction:
3f22a844ec66...40b1
Settlement height:
663,051
Value:
0.159 ERG
Outputs (5)
#0
0181d3825a5b...6825
Spent
Address:
2SAtmk4vkfVS...WWMF
Spent in transaction:
3454dbfacedb...1e89
Settlement height:
663,053
Value:
0.01 ERG
Tokens:
Loading assets...
#1
d1a082505c46...3ae1
Spent
Address:
9gUibHoaeiwK...cGoU
Spent in transaction:
27a448753f02...6bc7
Settlement height:
663,053
Value:
0.001 ERG
#2
7c0340fe7033...ab0d
Spent
Address:
3pyaMZRJbtjF...2vsu
Spent in transaction:
3454dbfacedb...1e89
Settlement height:
663,053
Value:
0.142 ERG
#3
ef43deb7d9ab...3992
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
14d0786f4fec...2179
Settlement height:
663,053
Value:
0.1 ERG
#4
f48d9a9e435b...6ce7
Spent
Address:
3pyaMZRJbtjF...2vsu
Spent in transaction:
33536b6b373b...1007
Settlement height:
663,053
Value:
0.006 ERG
Transaction Details
Status: Confirmed
Size: 5.31 KB
Received time: 1/13/2022 08:18:02 PM
Included in blocks: 663,053
Confirmations: 1,097,190
Total coins transferred: 0.259 ERG
Fees: 0.1 ERG
Fees per byte: 0.000018389 ERG
Raw Transaction Data
{
  "id": "9088c4c83e3d649ed4f0d8f8a244daea3a4d438b27cf4e4b60041f7f7de92133",
  "blockId": "c1ae859e4d85fe456e943c28af3c9528b30cef7a1deb9963918958a4acc9f2ea",
  "inclusionHeight": 663053,
  "timestamp": 1642105082620,
  "index": 2,
  "globalIndex": 2442094,
  "numConfirmations": 1097190,
  "inputs": [
    {
      "boxId": "aaa2f839e05b3a278f5e88d425f903cf0e4e32af0f820467cadd530f3f69d6d9",
      "value": 10000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "7215a2b443ea201706738e73c3d8ddfb6354b7a63206821c8a4b76b23ee69f48",
      "outputTransactionId": "809fb7b329f7bf5db641bed8a4d12822feb1a0d4374640d3a49bc91cdac43b99",
      "outputIndex": 10,
      "outputGlobalIndex": 11936308,
      "outputCreatedAt": 663043,
      "outputSettledAt": 663046,
      "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": "c9e97a548112bb4f6a1375470390dcf5d3dbda1562bcc3c5234f4446b16991b9",
          "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": "11040086f85086f85014",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,663043,663043,10]"
        },
        "R4": {
          "serializedValue": "0c3c0e1101240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb703028084af5f00",
          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7,[1,100000000,0]]]"
        }
      }
    },
    {
      "boxId": "20de118c781a5832697a1fbb51e8b881f82217fbfb92d5d141367e29b5557437",
      "value": 90000000,
      "index": 1,
      "spendingProof": "7365f7c4936d448bdc52b0d53f268a788b7362bf417df8f4b9b3169342c78ba8441c24f65395cf09d5facefd119207012c483095dddd6808",
      "outputBlockId": "1f81b19b4664e89458223c344b74834c6b006e22d10751dbb92bdbef08c77b5b",
      "outputTransactionId": "7ca8c13e7fbaf073bc8a95b25704698a2d343f67c20f45ee021dcf9611162b54",
      "outputIndex": 6,
      "outputGlobalIndex": 11936996,
      "outputCreatedAt": 663049,
      "outputSettledAt": 663051,
      "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": "[[0008cd02a22aae2d80edacdc6c083ade6da22e9e0a79b10ff8d3178fa7dbf512d074c8a6,39666b557233316f75334876767a35707a68546f61326a624d66503542447245674175676a324355784c79517853624e4d656e],[0008cd0398137ed84c179ffeaef8a84e9c556232b79c746eefac7fda074f7a09322b70a4,3968636e476d61635a7041645374706b714447385064415457465578536f36756369694c58374e666746746f75786375465238],[0008cd030061bbfa1fcf2fa2276e9f9ed69bf3d37adcbfa39a8931e86709eb2ea4f49cb9,3967547953666862716f545557506d474b424262655376724865433655706a386b374841725559714c4b7062426a6b6f347852],[0008cd03a7382261cbf9d79fa88f9bfed2d5f3ba131a3c103387a18a196a7c72ba290d3d,39686a54356e6a39676a324e774274454a48424770774b64634e6e7443734a386f545633684e516d6d5a7776696754566f7174],[0008cd022bcc09f1113b117013501c125b34f49229930fea0f4abaa59c6d8af82813d2f7,3965724d4658625168674c6564655363505576687351333461515a54434772356456446e34465942587736784d787a4b475374],[0008cd03cab69584808fd005ff4941ee1444883f94e1c36817b74671ca184c836ce962ee,396931356a44355a436142446f7a3879344452784b62594b39534850374a5043445835625838434c4a44774a3276597833506d],[0008cd034a14e84138fc4972ae18b027808712556e182c35c1adc8e77f86665321252b9a,396832533152796573574d52646872555533444c755a784d54576b457343517a4d4d395175733852484b4b664a5545357a7962],[0008cd02fae2982fee9299eca2349adc7841147e176fc8e6b46c8ce2108789e55bbc253f,3967525a3344674234737767574d765a4d324e667367374359705577373962744e513334754538727934387953336b4858416f],[0008cd03733f39640a508961b6ee94bc680c5cfe3bd3a2c1aa41d30970c0b6d1a0d9671d,39684c5a5839586e51726761625856463864615154625868634d52357a52656e3339385861526f74415a4a446838664348447a],[0008cd021741a3123c5940a6d72189d0cab8f1a10c3a8ace6bc5bec0b3557dc0749dce66,3965684a5a7650446776434e4e64327a545148786e53706343417462316b4862454e31564167656f5244354450564170596b6b]]"
        },
        "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": "11040292f85086f85014",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,663049,663043,10]"
        },
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd02a22aae2d80edacdc6c083ade6da22e9e0a79b10ff8d3178fa7dbf512d074c8a6,[24121,1000000000,11000000]],[0008cd0398137ed84c179ffeaef8a84e9c556232b79c746eefac7fda074f7a09322b70a4,[37261,10000000000,17000000]],[0008cd030061bbfa1fcf2fa2276e9f9ed69bf3d37adcbfa39a8931e86709eb2ea4f49cb9,[4220,100000000,1000000]],[0008cd03a7382261cbf9d79fa88f9bfed2d5f3ba131a3c103387a18a196a7c72ba290d3d,[11940,40000000000,5000000]],[0008cd022bcc09f1113b117013501c125b34f49229930fea0f4abaa59c6d8af82813d2f7,[36685,5000000000,17000000]],[0008cd03cab69584808fd005ff4941ee1444883f94e1c36817b74671ca184c836ce962ee,[5514,500000000,2000000]],[0008cd034a14e84138fc4972ae18b027808712556e182c35c1adc8e77f86665321252b9a,[31170,1000000000,14000000]],[0008cd02fae2982fee9299eca2349adc7841147e176fc8e6b46c8ce2108789e55bbc253f,[19517,100000000,9000000]],[0008cd03733f39640a508961b6ee94bc680c5cfe3bd3a2c1aa41d30970c0b6d1a0d9671d,[2733,100000000,1000000]],[0008cd021741a3123c5940a6d72189d0cab8f1a10c3a8ace6bc5bec0b3557dc0749dce66,[139333,5000000000,65000000]]]"
        }
      }
    },
    {
      "boxId": "29d3249f0593950077fb88fae4412a9bf2dc9d256fccbafb0257b303133deaa5",
      "value": 159000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "1f81b19b4664e89458223c344b74834c6b006e22d10751dbb92bdbef08c77b5b",
      "outputTransactionId": "3f22a844ec664ca7bc63c291700f14b7a8aad2469aa49d479297cc057c4440b1",
      "outputIndex": 6,
      "outputGlobalIndex": 11936980,
      "outputCreatedAt": 663049,
      "outputSettledAt": 663051,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-55,-23,122,84,-127,18,-69,79,106,19,117,71,3,-112,-36,-11,-45,-37,-38,21,98,-68,-61,-59,35,79,68,70,-79,105,-111,-71)\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": "0181d3825a5b6c1fd0511b14be2ea619b8eb4dce8bb23e5cfbf6c5e294af6825",
      "transactionId": "9088c4c83e3d649ed4f0d8f8a244daea3a4d438b27cf4e4b60041f7f7de92133",
      "blockId": "c1ae859e4d85fe456e943c28af3c9528b30cef7a1deb9963918958a4acc9f2ea",
      "value": 10000000,
      "index": 0,
      "globalIndex": 11937130,
      "creationHeight": 663049,
      "settlementHeight": 663053,
      "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": "c9e97a548112bb4f6a1375470390dcf5d3dbda1562bcc3c5234f4446b16991b9",
          "index": 0,
          "amount": 1,
          "name": "GetBlok.io SmartPool Display Token",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
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          "serializedValue": "0c4c0e01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb702",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7,1]]"
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          "renderedValue": "[[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7,3967556962486f616569774b5a53707967685a4536594d455a564a753977734b7a465332335778525671366e7a547663476f55]]"
        },
        "R7": {
          "serializedValue": "11040292f85086f85014",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,663049,663043,10]"
        },
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      "ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
      "address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
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      "creationHeight": 663049,
      "settlementHeight": 663053,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-55,-23,122,84,-127,18,-69,79,106,19,117,71,3,-112,-36,-11,-45,-37,-38,21,98,-68,-61,-59,35,79,68,70,-79,105,-111,-71)\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": "3pyaMZRJbtjFaFs2S6uXuAF5wGa1cEwtFgUhwhweHM1frY1eh38ZXWvry9EMEgxjHeCVndrk9jSZYi9NMAye92wjo8TindyuBLej2Gjju9qktyYrpKsr2f6wcaoZeh48ZKpiFWoVUVe8CxnWa4iVLtLmbnfkn6RboBiY7mgwKxz6FAFnvcJP3EgFdcGUMaCfNGNsKtNg5k5ZmtdsSZZUTWn2HQT4cHcmxAfXRMKrig41uzUkJuJ4efM4bxz1TV38SXK1CdQvUXabUzhZeimLayKqiQ52spom4bYmfrKDqzGdGNghV6NRgnM7HWtPN8MuRrbddfj5sP8ZUtwuuaJqeWmKPK2Ko6VPK678iC41kgiF23j99ABoJneSmyZAjp8zNHziDjF4nNZweUKbTBv7kUEYVmaeYwD6QY5mj4xHDcSBkBaZkbLtUirZJTt3yvmKDM4um8G9sM7DoFpgK3vE7ZaNZmCEk5WAj5HU2SmJp7QknTwZnzSK83CKH3fEtoXy1NrJWvSDucbmTbzYica9oiU2aHTCXrZisbsjCwnFDYUbB5AimZeGWkAWgAhaF74CjbcKZaKP2znSYRBaDErT6xEgwdddJPHgSuzqK6mFvhEJACUV9MQ3AYTKo88dKJcqBNt9GKZUwAvoTK4qk2ZSuLEoo7frHLC4pr7MbvdAtHdyYCV4FagLGFp9E2ELzCiBjQtuQK2VWNA3BPn1S6UR1vmxEs4c99H512U3sDxPajNzg2RyumL3WcYGw9MY14t3D9GtF7NTZ8cr99Qx7dg21SJATBerHzWzCAhNHN4ff51oBBHijADVZEjFwaD7f29QJ1DoNY9fcrAsNykh9gUSKEhVBqkiU6JK6DahLVbuDr9LrGSEcAin4ftA5R4nomY8KvAqh1pwvVBfd9jqKo36AULssZCK594Xe2n9AtD7S4dRiF5e3e7rJkuxQ1VjQFyyKv7P44EmjewMDnyWzVW7HqtBdEJDrQNYim7q1e7n19MueY83WAuFky3dHXeSgX6oq3FTsgh3gFti4zgnjXwRWU2VSda5KovfWCkVD9vavvVJ2qdRYf4LKpyVwnHJ9crzGXgJM4wGG5N6aFVKBMxLeBehH3tR4fnP5cucqM7zhEstSCTF4Y4sU5NeRN7zFTp21KhdiDRDZP4WLzqP36BaqNbFC35S3s1hfwGxfsCigMwyWeqgYcx5mJZ1ECnr778pBnxPHEccRq7X4VV7xHQCLnL9TztisEs1iPsWpvhDj5vX9ZhG6cYQE5D9R23iP3dbMNFs5aodLSDDNsscwhWD7kz7MM2MfT39pdKZcT2paTDU1KC45x2wuKzgL9J1KbbPaWr4S8fSro6mcY7mYf41b2s1ofYzrJ12dcc61QRHnDdVPBmGtqGshGLFHz2gYbFScw5wRgMXwLra5MHATQpbrBzon4Rx3nK6XUGnfcA2xr9HBt8oNGJVyE512PAoLE2ig5a6ny76TwP4PE4J5smqURrG55u8oMbzT8hjqNQwRx3CuY82NsgBoy5ZGP5vxxq2kF1teMzsx9VjKWSzYbGsdLVY8fBK6XbZNZajr8KmoKHvE3qsiYZHRps1CEVYDKn38jWAvhE5iGC6YbweW2DbDRmwa3PGaUju9nLLUYSuVKWFTHFJkvSf6D3NTf7cPyZX1dsRohKKU4YAQQp8CXfTzNyTpQqr6mmZ4s1rTe4k6hJ7DgwCFmrT8wLhB1A2HADcozPjCduHCDvU2odpfMwUqBnRf4B4p1owS54BMtuJy7rhQR8gRTXyGS4uyZMEzceBCBzWfqFS4oJNUPbGgQJWRoKS6n87a29AKfJ8chAK2RdT7mV8Jx4ZXgPDbNdFX2qncBpZmB15bFSgzjFdmKpKxNCDqLzsBTK7barpLT4rWpevkkSAUTmYE9wwnn9TVEbifD9JNnR6MKg3ZjsH7tTdq6JKezJC1xA7qNqQp3DsMYrYgWPNBHv2xkrk5VEY38qbrVq2andkcw9Mw41WWcTmBJ9vkd2vsu",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "3454dbfacedb1d8e6d21fef7ea361c268df67282c9c118421f6fd46cd1b41e89",
      "mainChain": true
    },
    {
      "boxId": "ef43deb7d9ab80eb7ea6af4f1a26cf65f4519e9c5dc7b31e387e7631f2b53992",
      "transactionId": "9088c4c83e3d649ed4f0d8f8a244daea3a4d438b27cf4e4b60041f7f7de92133",
      "blockId": "c1ae859e4d85fe456e943c28af3c9528b30cef7a1deb9963918958a4acc9f2ea",
      "value": 100000000,
      "index": 3,
      "globalIndex": 11937133,
      "creationHeight": 663049,
      "settlementHeight": 663053,
      "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": "14d0786f4fec132607d6bf882d482181815a653544232f86b9b4f48fe7e02179",
      "mainChain": true
    },
    {
      "boxId": "f48d9a9e435bd7e35c83a35b17ac405ad7e89d21a4a831b90dd1f16b1a006ce7",
      "transactionId": "9088c4c83e3d649ed4f0d8f8a244daea3a4d438b27cf4e4b60041f7f7de92133",
      "blockId": "c1ae859e4d85fe456e943c28af3c9528b30cef7a1deb9963918958a4acc9f2ea",
      "value": 6000000,
      "index": 4,
      "globalIndex": 11937134,
      "creationHeight": 663049,
      "settlementHeight": 663053,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-55,-23,122,84,-127,18,-69,79,106,19,117,71,3,-112,-36,-11,-45,-37,-38,21,98,-68,-61,-59,35,79,68,70,-79,105,-111,-71)\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": "33536b6b373bdfdc26c8f2904da9763ced59031207c83cbee7aaf10afc411007",
      "mainChain": true
    }
  ],
  "size": 5438,
  "isUnconfirmed": false
}