Ad
Inputs (14)
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
2.19 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Outputs (5)
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
2.19 ERG
Tokens:
Loading assets...
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Status: Confirmed
Size: 2 KB
Received time: 2/28/2023 09:16:15 AM
Included in blocks: 950,030
Confirmations: 820,868
Total coins transferred: 2.19 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000536 ERG
Raw Transaction Data
{
  "id": "729aa4e153fd9d47f3a3e271868289fe8c24d54947193f589b4b22163a666b1e",
  "blockId": "cae1845107c46ff5e6ab9676551ed4bfd71a41fd9744c3dbd7e0b798bc2a077a",
  "inclusionHeight": 950030,
  "timestamp": 1677575775797,
  "index": 2,
  "globalIndex": 4829634,
  "numConfirmations": 820868,
  "inputs": [
    {
      "boxId": "0173d86e399fe55e677c1034196aa5e04c9db1a42b6af06e8017314358bc7413",
      "value": 300000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "eb022803a0347434a18d4fa5a51f6534beafb9b0825196d21594d85524280752",
      "outputTransactionId": "3cb91891851f4ee277ba5b3d5fca0b0b32c17e2111ecda3e9e03fb93f8ba040d",
      "outputIndex": 7,
      "outputGlobalIndex": 26923310,
      "outputCreatedAt": 948391,
      "outputSettledAt": 948394,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 600,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707]"
        }
      }
    },
    {
      "boxId": "6d4464502747359771d5d1d3db74dbd10cbd5dfcc3b54d8c694a7a4d75645c38",
      "value": 2186900000,
      "index": 1,
      "spendingProof": "32e5edabe4507690486a4dfcf7e114d47349b0fbcb82c924d42ebfd8a6d63ab94e89cf8bc961b6668d2926788dd8b670079d282a2baad48a",
      "outputBlockId": "3371762e019617c54e50c7a3e0f4a12e29245bd1a2343c807506e9704776fce0",
      "outputTransactionId": "5f87b26555182d598fc7051addc8d03c8299193e2b6c335ca289fa6cacbd023f",
      "outputIndex": 2,
      "outputGlobalIndex": 26906360,
      "outputCreatedAt": 948074,
      "outputSettledAt": 948076,
      "ergoTree": "0008cd038cdc6d0c29b711b6831ad43ca291ed14a4dd10c9d4aca2f6634b4aa36c83e3e6",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(8cdc6d,a5277e,...)))}",
      "address": "9hXqoDT3u7oxaZNtdQwLXN37J6sGtBYc7WYPp2NkmUVzXpx9f22",
      "assets": [
        {
          "tokenId": "da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "f1c378034a846195653d8cc057c4eab4a469f07019f66571000e29c454b771f7",
      "value": 300000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "893743c6c113312d11e0a9b15e32c7fdde43166efe1013695f8d2fbd3925b34c",
      "outputTransactionId": "9bd46689ef4c7738335b8314afcb1863fd441ce9d5d21e56f0279df560e3e47c",
      "outputIndex": 6,
      "outputGlobalIndex": 26920807,
      "outputCreatedAt": 948323,
      "outputSettledAt": 948327,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 600,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707]"
        }
      }
    },
    {
      "boxId": "67966e33f6f60bc4d8e119e398e54fb743d730cc24b2ee91c6f99587e7009715",
      "value": 300000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "d8ae80669192cdb698cb2fca5a15ae12b32b72fd9a3dd584ca8b0f1fa4c2e04c",
      "outputTransactionId": "bbd58fe9374982f8c5c7bb65c07b433a26759828adea20858c984e07b629e7f9",
      "outputIndex": 8,
      "outputGlobalIndex": 26920469,
      "outputCreatedAt": 948307,
      "outputSettledAt": 948317,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 600,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
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      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707]"
        }
      }
    },
    {
      "boxId": "1a0e55ddf5e27383a0ee8df78e98a4a464da532433f328dba5d5f609d6eccd8c",
      "value": 300000,
      "index": 4,
      "spendingProof": null,
      "outputBlockId": "b4b7db4f9e56c78e2bc9ba1bc94af7f7002899efb89a828b83d2b5be260368fa",
      "outputTransactionId": "8d7b12acdbeece12ce86850acbfc598fa7691240f4cf4e1afe60e11b82531e87",
      "outputIndex": 6,
      "outputGlobalIndex": 26918428,
      "outputCreatedAt": 948257,
      "outputSettledAt": 948273,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 600,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707]"
        }
      }
    },
    {
      "boxId": "09d5eea5026e543a58e6a5500e6e412dc0f09c4776292284a87cc8f6ab79909d",
      "value": 300000,
      "index": 5,
      "spendingProof": null,
      "outputBlockId": "d3b510f753cd658645ab76be67a6bd81cb869b107cedf4c9cac0a99bd44219e1",
      "outputTransactionId": "90c939ba91ddca8b65b03f6b05c5fc43f58769f0594b9a077579263ee1befdd3",
      "outputIndex": 9,
      "outputGlobalIndex": 26917533,
      "outputCreatedAt": 948253,
      "outputSettledAt": 948260,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 60,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
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      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707]"
        }
      }
    },
    {
      "boxId": "8089efaa65f6e0d952b235e716bc25250e284df7cb30becb7b62a3f96fba3957",
      "value": 300000,
      "index": 6,
      "spendingProof": null,
      "outputBlockId": "d3b510f753cd658645ab76be67a6bd81cb869b107cedf4c9cac0a99bd44219e1",
      "outputTransactionId": "6950e1df04ab9eb04c401d6ad2861d7529ce36225d3738e5737b420ae4066a71",
      "outputIndex": 2,
      "outputGlobalIndex": 26917512,
      "outputCreatedAt": 948253,
      "outputSettledAt": 948260,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 600,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707]"
        }
      }
    },
    {
      "boxId": "2bb2ab07891fe34eac8d0e1b0149d255accd0625acb1b08b13a46e6bf537e741",
      "value": 300000,
      "index": 7,
      "spendingProof": null,
      "outputBlockId": "1a6980b7de10e312c1d99bf7f602c59cafdbfae0bbd236b92d522ca8a4016cd8",
      "outputTransactionId": "f8c41b1d4b4b96e2cb9b0904cf710860515f4ade87f4579381f9c0b57ddee631",
      "outputIndex": 8,
      "outputGlobalIndex": 26917255,
      "outputCreatedAt": 948244,
      "outputSettledAt": 948251,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 600,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707]"
        }
      }
    },
    {
      "boxId": "e7048ee31a3ad74b247688571d0691c343f86d98de42d4f38875decd3f5a2131",
      "value": 300000,
      "index": 8,
      "spendingProof": null,
      "outputBlockId": "6f4d7de61fcb5f4a95b75d5f86b23812f918b0dc0dcf82060837f583f282650e",
      "outputTransactionId": "62f9f67714e65429f6a8ec45ba110468f8cde5173a35075e0590a260372f5f13",
      "outputIndex": 7,
      "outputGlobalIndex": 26917123,
      "outputCreatedAt": 948234,
      "outputSettledAt": 948247,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 600,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707]"
        }
      }
    },
    {
      "boxId": "96ba406991664d89a789ad5cad6fe155f1096240ba261a3a1a3c9d41b099ffe3",
      "value": 300000,
      "index": 9,
      "spendingProof": null,
      "outputBlockId": "7191523318b94ad0df7c1a392b01cc533a409e6f8581433fb371be3bbb83a460",
      "outputTransactionId": "9e594e6a492179fdd93acece6218ad95c4189b220f08fc010c7f615917e40e9d",
      "outputIndex": 8,
      "outputGlobalIndex": 26916353,
      "outputCreatedAt": 948222,
      "outputSettledAt": 948229,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 600,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707]"
        }
      }
    },
    {
      "boxId": "5134215db3232bb353e8a046b5831b73e2df243ea14cc09cf0c211c4956f42a1",
      "value": 300000,
      "index": 10,
      "spendingProof": null,
      "outputBlockId": "ea01e9be6674149c663fedf469c8e356778b610299e0623dbcc84eaa29dcfcb7",
      "outputTransactionId": "d64526dca2fce57c6a16ebc58302c0e2a0540f8c2be9ce549191013c6c3f4283",
      "outputIndex": 9,
      "outputGlobalIndex": 26915659,
      "outputCreatedAt": 948206,
      "outputSettledAt": 948220,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 600,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707]"
        }
      }
    },
    {
      "boxId": "a3ce0d94d89a8bb6bd31bf67cdbd3c490e4880aa126f0d1cb8dcbe93395e6518",
      "value": 300000,
      "index": 11,
      "spendingProof": null,
      "outputBlockId": "9c72ed397a70827d471c60c40eeb41b0ceebe8e84a8d0e98e649b9d84e6d180c",
      "outputTransactionId": "510a182279f3998859bd901b7a2a71ee441075f2a3343120b0a58445cea5fd17",
      "outputIndex": 9,
      "outputGlobalIndex": 26915140,
      "outputCreatedAt": 948202,
      "outputSettledAt": 948208,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 600,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707]"
        }
      }
    },
    {
      "boxId": "0686ca0991770ba2a92189fd3568bce5fb36c52fc895b5f57c5af89fe303398c",
      "value": 1100000,
      "index": 12,
      "spendingProof": null,
      "outputBlockId": "3371762e019617c54e50c7a3e0f4a12e29245bd1a2343c807506e9704776fce0",
      "outputTransactionId": "5f87b26555182d598fc7051addc8d03c8299193e2b6c335ca289fa6cacbd023f",
      "outputIndex": 0,
      "outputGlobalIndex": 26906358,
      "outputCreatedAt": 948074,
      "outputSettledAt": 948076,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
          "index": 0,
          "amount": 930,
          "name": "Ergo-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707]"
        },
        "R5": {
          "serializedValue": "0e0100",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "00"
        }
      }
    },
    {
      "boxId": "b1b85790e1ffd9247a9766ed903176fa387593ff36c1644fba0cef82679a7075",
      "value": 300000,
      "index": 13,
      "spendingProof": null,
      "outputBlockId": "eac51cc9bcae5d4ec88e77f5a8d1951bd996b3cd806cb105bd1aa799f537d7b9",
      "outputTransactionId": "87bdf4ea313ab7b22d9c8e68492169ed61baa4e147045c2067e359c6b7b67227",
      "outputIndex": 9,
      "outputGlobalIndex": 26935234,
      "outputCreatedAt": 948662,
      "outputSettledAt": 948665,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 60,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707]"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "93dd5d79a193321c7d8211c5995a415558eb4c8e94a2f119127e42b4cf340406",
      "transactionId": "729aa4e153fd9d47f3a3e271868289fe8c24d54947193f589b4b22163a666b1e",
      "blockId": "cae1845107c46ff5e6ab9676551ed4bfd71a41fd9744c3dbd7e0b798bc2a077a",
      "value": 1100000,
      "index": 0,
      "globalIndex": 26992178,
      "creationHeight": 949400,
      "settlementHeight": 950030,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(38,8,54,88,-4,-30,-82,91,-104,72,-83,0,-73,-41,40,120,-54,-124,57,74,71,41,68,96,-47,28,67,-6,27,-82,115,-115)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
          "index": 0,
          "amount": 941,
          "name": "Ergo-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707]"
        },
        "R5": {
          "serializedValue": "0e0100",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "00"
        }
      },
      "spentTransactionId": "0f39980c9b06f0f91d2a9985a266125e17ce541651f364eeabbf072317663f3f",
      "mainChain": true
    },
    {
      "boxId": "87b6bda658509e281642865b01302ad0bd3b867d71f14cf3c451762b4e120591",
      "transactionId": "729aa4e153fd9d47f3a3e271868289fe8c24d54947193f589b4b22163a666b1e",
      "blockId": "cae1845107c46ff5e6ab9676551ed4bfd71a41fd9744c3dbd7e0b798bc2a077a",
      "value": 1100000,
      "index": 1,
      "globalIndex": 26992179,
      "creationHeight": 949400,
      "settlementHeight": 950030,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(71,-111,-57,93,-98,115,-35,21,70,-32,-61,-111,-47,-112,53,1,118,-70,-111,-84,-38,-1,-109,-121,-49,0,-36,-122,-42,-4,51,-85)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val opt7 = box5.R5[Coll[Coll[Byte]]]\n  val bool8 = opt7.isDefined\n  val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n    Coll[Byte](placeholder[Byte](4))\n  }\n  val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n  val box11 = OUTPUTS(placeholder[Int](6))\n  if (bool3) {(\n    val box12 = OUTPUTS.filter({(box12: Box) =>\n        val opt14 = box12.R4[Coll[Coll[Byte]]]\n        if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n      })(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n            placeholder[Int](10)\n          )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n            Coll[Byte]\n          ].get\n        )\n      )\n    )\n  )} else {(\n    val coll12 = blake2b256(box11.propositionBytes)\n    if (coll12 == coll2) {(\n      val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n      val i14 = coll13.size\n      val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n      val coll16 = box15.R6[Coll[Long]].get\n      val l17 = coll16(placeholder[Int](13))\n      val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n        Long\n      ](17)\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n              placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n            ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n              {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n            ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n              Coll[Byte]\n            ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n              if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n            ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n          )\n        )\n      )\n    )} else {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](25)\n            ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    }\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707]"
        },
        "R5": {
          "serializedValue": "1a01200ff6b4d167f7a4f3e6fa80a99f7df2e049c5d9f374af234a345bef1223157c80",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0ff6b4d167f7a4f3e6fa80a99f7df2e049c5d9f374af234a345bef1223157c80]"
        },
        "R6": {
          "serializedValue": "0e20903785bc1e886e12b7147b12ef884ae0803d39e40ec4f82fdd24602f3be2fd5c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "903785bc1e886e12b7147b12ef884ae0803d39e40ec4f82fdd24602f3be2fd5c"
        },
        "R7": {
          "serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
        }
      },
      "spentTransactionId": "5b3ceb9425d1bb47ede08348381a9e576e05faf186ea042663e7f171b309f35c",
      "mainChain": true
    },
    {
      "boxId": "b076ccbfa49f6b206794e59274200f12a476ba56a4fa62d4107602a021ca3e44",
      "transactionId": "729aa4e153fd9d47f3a3e271868289fe8c24d54947193f589b4b22163a666b1e",
      "blockId": "cae1845107c46ff5e6ab9676551ed4bfd71a41fd9744c3dbd7e0b798bc2a077a",
      "value": 2187200000,
      "index": 2,
      "globalIndex": 26992180,
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      "settlementHeight": 950030,
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}