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Transaction

1/13/2022 09:36:35 PM
ID: 9cd78f5b00...5979
Inputs (4)
#0
1acaeff1f01e...981e
Spent
Address:
2SAtmk4vkfVS...WWMF
Output transaction:
0d94d47b27e2...11c3
Settlement height:
663,051
Value:
0.01 ERG
Tokens:
Loading assets...
#1
a33f42144e2f...d6fd
Spent
Address:
9gUibHoaeiwK...cGoU
Output transaction:
443bad92180d...ce03
Settlement height:
663,062
Value:
0.09 ERG
#2
1c057aaee7bf...b1ef
Spent
Address:
3pyaMZRJbtjF...2vsu
Output transaction:
d954613dd6ab...32a8
Settlement height:
663,062
Value:
2.72 ERG
#3
189351c762cf...034c
Spent
Address:
3pyaMZRJbtjF...2vsu
Output transaction:
0d94d47b27e2...11c3
Settlement height:
663,051
Value:
0.195 ERG
Outputs (6)
#0
37345d02ceb7...b1e8
Unspent
Address:
2SAtmk4vkfVS...WWMF
Settlement height:
663,099
Value:
0.01 ERG
Tokens:
Loading assets...
#1
934b35dc9862...7880
Spent
Address:
9hHiJm17Jyqo...8A9G
Spent in transaction:
3fa708673ce8...bd1b
Settlement height:
663,099
Value:
2.5 ERG
#2
c233ef6a1b7c...9784
Spent
Address:
9gUibHoaeiwK...cGoU
Spent in transaction:
5d8bafccbf3d...8992
Settlement height:
663,099
Value:
0.002 ERG
#3
d99bbc092f03...146e
Spent
Address:
3pyaMZRJbtjF...2vsu
Spent in transaction:
ce5ba6f862cf...8220
Settlement height:
663,099
Value:
0.392 ERG
#4
7e3094ca77fd...0121
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
0042f2a7632c...887c
Settlement height:
663,099
Value:
0.1 ERG
#5
f98557568af5...7aeb
Spent
Address:
3pyaMZRJbtjF...2vsu
Spent in transaction:
1df5a94e604e...89f1
Settlement height:
663,099
Value:
0.005 ERG
Transaction Details
Status: Confirmed
Size: 5.39 KB
Received time: 1/13/2022 09:36:35 PM
Included in blocks: 663,099
Confirmations: 1,106,770
Total coins transferred: 3.01 ERG
Fees: 0.1 ERG
Fees per byte: 0.000018129 ERG
Raw Transaction Data
{
  "id": "9cd78f5b00b803b021905855d3d62444519b18d104c97c3ae07471503c3a5979",
  "blockId": "19ed1e94f242bfd6d857b76ca73b6a693a692e8efdfc606ff2826b0d099912db",
  "inclusionHeight": 663099,
  "timestamp": 1642109795089,
  "index": 3,
  "globalIndex": 2442497,
  "numConfirmations": 1106770,
  "inputs": [
    {
      "boxId": "1acaeff1f01ec24c87132a89c0f1d33c4c2fe5573caf51a3d240ac04889b981e",
      "value": 10000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "1f81b19b4664e89458223c344b74834c6b006e22d10751dbb92bdbef08c77b5b",
      "outputTransactionId": "0d94d47b27e279a730993ccd0a0e6db0a7faab93ba0089158af94d19aefc11c3",
      "outputIndex": 0,
      "outputGlobalIndex": 11937064,
      "outputCreatedAt": 663049,
      "outputSettledAt": 663051,
      "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": "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",
          "sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
          "renderedValue": "[[0008cd0218aa69d40db427db37537418b1121a1b9f769a0b4362432097650a8166e73d61,396568765a70544c3972703141726e4e4e50526f77375a3262545a4c336876785278396d465a6e6d3142686251635957714572],[0008cd036cc771b06fbf899de6db080f69157585b919beebdf0c0683252189f5fd5d7804,396848694a6d31374a79716f54524b57704457656536424278674770423369396a33336f45734b735a62566576396138413947],[0008cd024758cd93b0e44f99c7ed4df2de4ccc7e5b2e6bc8cd04d0b9288a2859db617949,3966345579586f7454716e6b6e6b5235334778744e317a5778516d4a59776f5855576363686355384674687a4b626b41684857],[0008cd03ed0e7382a068a82cc0200460bdcefb939f93628f71f11a33b40a6ed29f3e3db2,39694743796f777877676636635165663152664577365543596f484a69367131685a764b766357794659316b754c4e56453753],[0008cd02b6a7eb3b5f46a30b0f113252677ea7f106ab2405cebe115b9d72357f363d43e5,39667557445470626f346741637a53396f6f794c674e587942734d663165615a643633335942557244693148337235354b6376],[0008cd0373406bf6b6efb94c53a0da07f47b733e28575ec95caf03070f5f9766661576eb,39684c5a653557315168386335796e4a6d6244456a7a3631717a504134536e427a64614a4675466b666b4356597465797a414b],[0008cd03ccfd0be24f38c89625ec86a3c627d271a9bed5f7e631106c6eb6c60ac9ddbd95,3969323572344257616e636848634755597732754766484a6f777374614348544a3168466138626833465936624a7873694251],[0008cd023fd4909f8f58e6a6ee6413ae239a82bc53c5b70c9590a7abc7e957d92d1ae68e,3966314179576d416b72346777457371505243466d4a7259574a444447793357674c6e4e4d73394d4d626175686d4b63336d52],[0008cd03826e28b9c796910af363428fb561383ced4ce81a96fa9a230dcf7695f258f382,396854464d6b6641696b4d74765a4568506761434d46597a3646486b46757736446173776e62574d375242647433483651536f],[0008cd036599fc534c00270bb58b42f70bd43a989e899e4e9077d7c03078b6cb4d831913,396845597878503138584273536159313662636d6a74597979594a4c454747364e7554737857716d68657a796252424a78426a]]"
        },
        "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": "11040292f85086f85018",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,663049,663043,12]"
        },
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd0218aa69d40db427db37537418b1121a1b9f769a0b4362432097650a8166e73d61,[5706,100000000,2000000]],[0008cd036cc771b06fbf899de6db080f69157585b919beebdf0c0683252189f5fd5d7804,[4930153,100000000,0]],[0008cd024758cd93b0e44f99c7ed4df2de4ccc7e5b2e6bc8cd04d0b9288a2859db617949,[81404,100000000,40000000]],[0008cd03ed0e7382a068a82cc0200460bdcefb939f93628f71f11a33b40a6ed29f3e3db2,[6569,1000000000,3000000]],[0008cd02b6a7eb3b5f46a30b0f113252677ea7f106ab2405cebe115b9d72357f363d43e5,[4004,5000000000,2000000]],[0008cd0373406bf6b6efb94c53a0da07f47b733e28575ec95caf03070f5f9766661576eb,[86319,100000000,43000000]],[0008cd03ccfd0be24f38c89625ec86a3c627d271a9bed5f7e631106c6eb6c60ac9ddbd95,[56107,25000000000,28000000]],[0008cd023fd4909f8f58e6a6ee6413ae239a82bc53c5b70c9590a7abc7e957d92d1ae68e,[2637,100000000,1000000]],[0008cd03826e28b9c796910af363428fb561383ced4ce81a96fa9a230dcf7695f258f382,[128280,50000000000,64000000]],[0008cd036599fc534c00270bb58b42f70bd43a989e899e4e9077d7c03078b6cb4d831913,[25296,100000000,12000000]]]"
        }
      }
    },
    {
      "boxId": "a33f42144e2fc347d8ca732276bbd01f8d2d9227b8cc1e311121c75ef8ded6fd",
      "value": 90000000,
      "index": 1,
      "spendingProof": "a5fbcf132663e725cccce05509e864ca7673d0c0d5bd8c71fdeec06b07dcd8c85a3e1ccb27ba7eae1a03a1bb198b94005395e487d0f78edf",
      "outputBlockId": "c7bea0da555434a271b1f4f0069b77b7702e0cf65eb240ca209dba912e501bd4",
      "outputTransactionId": "443bad92180d701164358f81ca0ad878cfaca047a9df202d5f4d543db515ce03",
      "outputIndex": 3,
      "outputGlobalIndex": 11937447,
      "outputCreatedAt": 663060,
      "outputSettledAt": 663062,
      "ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
      "address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
      "assets": [],
      "additionalRegisters": {
        "R5": {
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          "sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
          "renderedValue": "[[0008cd0218aa69d40db427db37537418b1121a1b9f769a0b4362432097650a8166e73d61,396568765a70544c3972703141726e4e4e50526f77375a3262545a4c336876785278396d465a6e6d3142686251635957714572],[0008cd036cc771b06fbf899de6db080f69157585b919beebdf0c0683252189f5fd5d7804,396848694a6d31374a79716f54524b57704457656536424278674770423369396a33336f45734b735a62566576396138413947],[0008cd024758cd93b0e44f99c7ed4df2de4ccc7e5b2e6bc8cd04d0b9288a2859db617949,3966345579586f7454716e6b6e6b5235334778744e317a5778516d4a59776f5855576363686355384674687a4b626b41684857],[0008cd03ed0e7382a068a82cc0200460bdcefb939f93628f71f11a33b40a6ed29f3e3db2,39694743796f777877676636635165663152664577365543596f484a69367131685a764b766357794659316b754c4e56453753],[0008cd02b6a7eb3b5f46a30b0f113252677ea7f106ab2405cebe115b9d72357f363d43e5,39667557445470626f346741637a53396f6f794c674e587942734d663165615a643633335942557244693148337235354b6376],[0008cd0373406bf6b6efb94c53a0da07f47b733e28575ec95caf03070f5f9766661576eb,39684c5a653557315168386335796e4a6d6244456a7a3631717a504134536e427a64614a4675466b666b4356597465797a414b],[0008cd03ccfd0be24f38c89625ec86a3c627d271a9bed5f7e631106c6eb6c60ac9ddbd95,3969323572344257616e636848634755597732754766484a6f777374614348544a3168466138626833465936624a7873694251],[0008cd023fd4909f8f58e6a6ee6413ae239a82bc53c5b70c9590a7abc7e957d92d1ae68e,3966314179576d416b72346777457371505243466d4a7259574a444447793357674c6e4e4d73394d4d626175686d4b63336d52],[0008cd03826e28b9c796910af363428fb561383ced4ce81a96fa9a230dcf7695f258f382,396854464d6b6641696b4d74765a4568506761434d46597a3646486b46757736446173776e62574d375242647433483651536f],[0008cd036599fc534c00270bb58b42f70bd43a989e899e4e9077d7c03078b6cb4d831913,396845597878503138584273536159313662636d6a74597979594a4c454747364e7554737857716d68657a796252424a78426a]]"
        },
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          "serializedValue": "0c4c0e01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb702",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7,1]]"
        },
        "R8": {
          "serializedValue": "0c3c0e0e01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7333967556962486f616569774b5a53707967685a4536594d455a564a753977734b7a465332335778525671366e7a547663476f55",
          "sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
          "renderedValue": "[[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7,3967556962486f616569774b5a53707967685a4536594d455a564a753977734b7a465332335778525671366e7a547663476f55]]"
        },
        "R7": {
          "serializedValue": "110404a8f85086f85018",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[2,663060,663043,12]"
        },
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd0218aa69d40db427db37537418b1121a1b9f769a0b4362432097650a8166e73d61,[5706,100000000,4000000]],[0008cd036cc771b06fbf899de6db080f69157585b919beebdf0c0683252189f5fd5d7804,[4930153,100000000,0]],[0008cd024758cd93b0e44f99c7ed4df2de4ccc7e5b2e6bc8cd04d0b9288a2859db617949,[81404,100000000,81000000]],[0008cd03ed0e7382a068a82cc0200460bdcefb939f93628f71f11a33b40a6ed29f3e3db2,[6569,1000000000,6000000]],[0008cd02b6a7eb3b5f46a30b0f113252677ea7f106ab2405cebe115b9d72357f363d43e5,[4004,5000000000,4000000]],[0008cd0373406bf6b6efb94c53a0da07f47b733e28575ec95caf03070f5f9766661576eb,[86319,100000000,86000000]],[0008cd03ccfd0be24f38c89625ec86a3c627d271a9bed5f7e631106c6eb6c60ac9ddbd95,[56107,25000000000,56000000]],[0008cd023fd4909f8f58e6a6ee6413ae239a82bc53c5b70c9590a7abc7e957d92d1ae68e,[2637,100000000,2000000]],[0008cd03826e28b9c796910af363428fb561383ced4ce81a96fa9a230dcf7695f258f382,[128280,50000000000,129000000]],[0008cd036599fc534c00270bb58b42f70bd43a989e899e4e9077d7c03078b6cb4d831913,[25296,100000000,24000000]]]"
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    },
    {
      "boxId": "1c057aaee7bfbe49a2ae583a855221c4c17c33465156ce571b989f0edae5b1ef",
      "value": 2718000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "c7bea0da555434a271b1f4f0069b77b7702e0cf65eb240ca209dba912e501bd4",
      "outputTransactionId": "d954613dd6ab274b2cb9527bf92464081219e89b85047bb7b2fef628904a32a8",
      "outputIndex": 3,
      "outputGlobalIndex": 11937431,
      "outputCreatedAt": 663060,
      "outputSettledAt": 663062,
      "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": {}
    },
    {
      "boxId": "189351c762cfdceddb0e6fe099f83a75507c80d4457ea28dba7c5b8cca0e034c",
      "value": 195000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "1f81b19b4664e89458223c344b74834c6b006e22d10751dbb92bdbef08c77b5b",
      "outputTransactionId": "0d94d47b27e279a730993ccd0a0e6db0a7faab93ba0089158af94d19aefc11c3",
      "outputIndex": 3,
      "outputGlobalIndex": 11937067,
      "outputCreatedAt": 663049,
      "outputSettledAt": 663051,
      "ergoTree": "103604000e20c9e97a548112bb4f6a1375470390dcf5d3dbda1562bcc3c5234f4446b16991b904020400010104020101010004020500040404020500040405d00f0580897a040404020500040404000580897a050004000580897a0400040204000404040104040401050001000401040105000100040105000400040101000101050001010400050004000400040001000ec204101c0400040204000402010001000400040101000402010004000402040005020402040404040500040004000400040004000400010001000101d809d601c6a70711d602c6a7080c3c0e0ed60396830601e6c6a7040c3c0e11e6c6a7050c3c0e0ee6c6a7060c4c0ee67201e6720293b2a4730000a7d604b2a4730100d605c67204050c3c0e0ed606c67204040c3c0e11d607b2a5730200d608c672070711d609db63087207957203d195ed9595957203aee47202d9010a3c0e0e938c720a01c2b2a4730300730496830501e6c67204040c3c0e11e6c67204050c3c0e0ee6c67204060c4c0ee6c672040711e6c67204080c3c0e0e7305afe47205d9010a3c0e0e94dc0c1aade47206d9010c3c0e118c720c01028c720a01730673077308959593c27207c2a796830701e6c67207040c3c0e11e6c67207050c3c0e0ee6c67207060c4c0ee6c672070711e6c67207080c3c0e0e93c17207c1a793b1db630872077309730ad804d60ae47208d60be47201d60cb2720b730b00d60db2720a730c00ededed93b2720a730d009a720c730eed90720d7ea30591720db2720b730f0093b2720a731000b2720b7311009594720c7312938cb2db6308a7731300018cb2720973140001d801d60edb6308a79591b1720e7315938cb2720e731600018cb2720973170001938cb2720973180001c5a773199683050193e4c67207040c3c0e11e4720693e4c67207050c3c0e0ee4720593e4c67207060c4c0ee4c67204060c4c0e93e47208e4c67204071193e4c67207080c3c0e0ee4c67204080c3c0e0e731ad1731b0101d805d601c2a7d602b5a4d901026393c272027201d603b17202d604b2a4730000d605730195ef95ed917203730293c5b27202730300c5a7730495937203730573067307d1dad9010601957206d807d608e4c6b2a4730800040c3c0e11d609e4c67204040c3c0e11d60a99b072027309d9010a41639a8c720a01c18c720a02b0b57209d9010a3c0e11d801d60c8c720a028fb2720c730a00b2720c730b00730cd9010a413c0e119a8c720a01b28c8c720a0202730d00d60bade4c67204060c4c0ed9010b4c0ed801d60d9d9c7e8c720b0205720a730e86028c720b0199720d9e720d730fd60cada5d9010c63c2720cd60dada5d9010d63c1720dd60eb0b57208d9010e3c0e11d801d6108c720e028fb27210731000b272107311007312d9010e413c0e119a8c720e01b28c8c720e0202731300edededaf7208d9010f3c0e11d807d6118c720f01d612dc0c1aad7209d901123c0e118c7212010272117314d6138c720f02d614dad9011405d801d6169d9c99b0720b720ad90116414d0e998c7216018c8c721602029c73157eb17208057214b072087316d90116413c0e119a8c721601b28c8c721602027317009972169e7216731801b27213731900d615b27213731a00d616dc0c1a720c027211731bd617b27213731c0095947212731dd801d6189ab2b2ad7209d901183c0e118c721802721200731e00721495927218721595947216731fed93b2720d721600721893721773207321ed93721673229372177218959272147215959472167323ed93b2720d721600721493721773247325ed93721673269372177214af720bd9010f4d0ed801d6118c720f02959172117327d801d612dc0c1a720c028c720f01732895947212732993c1b2a57212007211732a732b9591720e732caea5d9010f63ed93c1720f720e93c2720f7201732d9594b2e4c672040711732e00732f938cb2db63087204733000017205d801d60fdb630872049591b1720f7331938cb2720f73320001720593c57204720573330193c272047334d17335",
      "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": "37345d02ceb700e7a2c0aa0a36d33550ec01a892b0cabf3c77cf6d5ab5d7b1e8",
      "transactionId": "9cd78f5b00b803b021905855d3d62444519b18d104c97c3ae07471503c3a5979",
      "blockId": "19ed1e94f242bfd6d857b76ca73b6a693a692e8efdfc606ff2826b0d099912db",
      "value": 10000000,
      "index": 0,
      "globalIndex": 11938886,
      "creationHeight": 663060,
      "settlementHeight": 663099,
      "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": {
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          "sigmaType": "Coll[(Coll[SByte], Coll[SByte])]",
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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": "ce5ba6f862cfa73c124f20cf741b129144e5d3488928f2f557957b8ae1b28220",
      "mainChain": true
    },
    {
      "boxId": "7e3094ca77fd17a6a39a92d92b4b683fcd0b4b5304758f386f21a3bb49960121",
      "transactionId": "9cd78f5b00b803b021905855d3d62444519b18d104c97c3ae07471503c3a5979",
      "blockId": "19ed1e94f242bfd6d857b76ca73b6a693a692e8efdfc606ff2826b0d099912db",
      "value": 100000000,
      "index": 4,
      "globalIndex": 11938890,
      "creationHeight": 663060,
      "settlementHeight": 663099,
      "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": "0042f2a7632c52bb56269a6d8002c21fa2af84d13233c1cfdce93a2a761c887c",
      "mainChain": true
    },
    {
      "boxId": "f98557568af52e9ac8e54c61446b41a318026a4947f707ed87580381e1bc7aeb",
      "transactionId": "9cd78f5b00b803b021905855d3d62444519b18d104c97c3ae07471503c3a5979",
      "blockId": "19ed1e94f242bfd6d857b76ca73b6a693a692e8efdfc606ff2826b0d099912db",
      "value": 5000000,
      "index": 5,
      "globalIndex": 11938891,
      "creationHeight": 663060,
      "settlementHeight": 663099,
      "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": "1df5a94e604e30e0bc1e28000eed0e38ca17a4486e8e3f54a3b5ba30526389f1",
      "mainChain": true
    }
  ],
  "size": 5516,
  "isUnconfirmed": false
}