Ad
Inputs (16)
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
2.24 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:
0.0003 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...
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:
2.24 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Status: Confirmed
Size: 2.07 KB
Received time: 3/11/2023 11:17:46 AM
Included in blocks: 957,975
Confirmations: 811,949
Total coins transferred: 2.25 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000519 ERG
Raw Transaction Data
{
  "id": "6483f37461723f94186cc1a45555bb32c6ad5761fed49412acc3da13919e5633",
  "blockId": "98248b7565142dc2fb33ee82d4e3bcd19f6654e8fddac608378fb8dff2be5b65",
  "inclusionHeight": 957975,
  "timestamp": 1678533466315,
  "index": 16,
  "globalIndex": 4880726,
  "numConfirmations": 811949,
  "inputs": [
    {
      "boxId": "efec023ee04c1e141ff231432c009c1e71a572dab83b52f6b92d3b7e9055b88b",
      "value": 1100000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "7b6cd194abbc6331b8247f5a97f79b97af6608790f58daa790b270fe8bc51750",
      "outputTransactionId": "cbb106a96a51b7bf10cf08b8cee8af24d5ae7a73adaaedf6ce8318829045fdd1",
      "outputIndex": 0,
      "outputGlobalIndex": 27021423,
      "outputCreatedAt": 950659,
      "outputSettledAt": 950661,
      "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(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\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": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 953,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029]"
        },
        "R5": {
          "serializedValue": "0e0100",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "00"
        }
      }
    },
    {
      "boxId": "bdfeb1c6dbccb9e736afc79bc94fd051d4e0def368186216679d8707c1aa377c",
      "value": 2241600000,
      "index": 1,
      "spendingProof": "6e9e3291e78cf2976347b8c0c52384c9d351ce787f92a137c0bb22c53af2506c2d56985f6142aead9acdde9b221374e28be6a0161e2f1306",
      "outputBlockId": "7b6cd194abbc6331b8247f5a97f79b97af6608790f58daa790b270fe8bc51750",
      "outputTransactionId": "cbb106a96a51b7bf10cf08b8cee8af24d5ae7a73adaaedf6ce8318829045fdd1",
      "outputIndex": 2,
      "outputGlobalIndex": 27021425,
      "outputCreatedAt": 950659,
      "outputSettledAt": 950661,
      "ergoTree": "0008cd033ec49de7bde69a8bb0ed2cccd2fd66d544bfdf2194efb85188e6220961546503",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3ec49d,fdecef,...)))}",
      "address": "9gwT1vCxXdHSvTaSVPxNMo4Cx3A2WpPgkHSzkFMfrRyyyuxum5m",
      "assets": [
        {
          "tokenId": "484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "df13f5ab5b3bc4c3553aa777e14c584089e41577370ce68fcdbc6a9df88c151d",
      "value": 300000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "ffdbbd9558cf88acacff657c670a5a053a27c64c1777108cfed78a576de07729",
      "outputTransactionId": "8e4764535a37fa159363f79685f83e41d7c0e3783cd0f8511d1fe18b711f8ee5",
      "outputIndex": 2,
      "outputGlobalIndex": 27022326,
      "outputCreatedAt": 950647,
      "outputSettledAt": 950681,
      "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(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\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": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 90,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029]"
        }
      }
    },
    {
      "boxId": "a7036491411c05edb2da6f3ed91929c61123dc4ec001a217987b03576f011523",
      "value": 300000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "52a8d4091ce30825aacfe89c803aa86ce68a5122c84a95287de6336fbe57956e",
      "outputTransactionId": "32a2da73d94fddec7fd4565fbf0592260e7df3a996bc98bb63eea034e93a240c",
      "outputIndex": 3,
      "outputGlobalIndex": 27022870,
      "outputCreatedAt": 950681,
      "outputSettledAt": 950704,
      "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(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\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": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "name": "RSN-V.beta",
          "decimals": 0,
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      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029]"
        }
      }
    },
    {
      "boxId": "865c43793269ed947028631c802778951c836730d08ddb1b488f155ecee78864",
      "value": 300000,
      "index": 4,
      "spendingProof": null,
      "outputBlockId": "5f5c24aa1d7809443069c2a71b4e577291a64f55e5c7ff67444a81c8c443168d",
      "outputTransactionId": "c4886eaa24b64cb73db2be8b5eaa2bbfb03cd466fe3a286cd425ff7805575d16",
      "outputIndex": 3,
      "outputGlobalIndex": 27023607,
      "outputCreatedAt": 950716,
      "outputSettledAt": 950720,
      "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(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\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}",
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      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 90,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
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      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029]"
        }
      }
    },
    {
      "boxId": "e91d3acd96746c1767eef9703f0c414f3cc3be281d42131794c023406316953c",
      "value": 300000,
      "index": 5,
      "spendingProof": null,
      "outputBlockId": "bc4d774021105f2a1352d7893c1ce6c8dadf37d3dbc9922cc16fe08475b0c119",
      "outputTransactionId": "2b466820932cadd1a6f571b21b7208d69f646012707ed6345d5a8659022b4489",
      "outputIndex": 1,
      "outputGlobalIndex": 27023689,
      "outputCreatedAt": 950718,
      "outputSettledAt": 950723,
      "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(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\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": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
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        {
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          "index": 1,
          "amount": 90,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
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      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029]"
        }
      }
    },
    {
      "boxId": "f24f9f4afcf66a81686bb9fa80cd0848bee6a39a99fc0d4956cf4a108dbebc31",
      "value": 300000,
      "index": 6,
      "spendingProof": null,
      "outputBlockId": "270719cdcc0e020dd2b40ea4f12c26459ebf16643677fe1430836eb0a25d6341",
      "outputTransactionId": "8e154c11e9165f3275ea5b0ae1c93363b5171c3d9d37dfdd75a663eb552a5400",
      "outputIndex": 0,
      "outputGlobalIndex": 27028989,
      "outputCreatedAt": 950821,
      "outputSettledAt": 950840,
      "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(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\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}",
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      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "index": 1,
          "amount": 90,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029]"
        }
      }
    },
    {
      "boxId": "072dcd51692937fa7dc9f6c2ff3f05d5790abfab41487516a8d1af5c2c407c8b",
      "value": 300000,
      "index": 7,
      "spendingProof": null,
      "outputBlockId": "3ab555a88b3325a6e480a7c2790aaab3d8654f04bfcc4483f0e399e0cbe421b6",
      "outputTransactionId": "2bf852ec84d9c2afbe0f9bce345e7a3eddf2a273e2b863d75d87c9c6cfb49f3b",
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      "outputGlobalIndex": 27029606,
      "outputCreatedAt": 950855,
      "outputSettledAt": 950860,
      "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(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\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": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 100,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
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      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029]"
        }
      }
    },
    {
      "boxId": "83a21a1d0f42b58a9535d105308fdc26e2e6ec54c56d4e108d373addd3d54bf2",
      "value": 300000,
      "index": 8,
      "spendingProof": null,
      "outputBlockId": "8fb8e5df1fb80e5cb8e9c0573b56b82219ef6634f53d6c97cd23f99ae6fe82e4",
      "outputTransactionId": "666bde12b7b1ef3863f06afdacdcff68c89dfe2f3e88d5250732a9ae899c10ea",
      "outputIndex": 7,
      "outputGlobalIndex": 27029639,
      "outputCreatedAt": 950858,
      "outputSettledAt": 950862,
      "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(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\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": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 90,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
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      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029]"
        }
      }
    },
    {
      "boxId": "c1b40122bf554b1bd6fe74e43b215a5d713ff7224c4570a53b33e4f1abb31c24",
      "value": 300000,
      "index": 9,
      "spendingProof": null,
      "outputBlockId": "fb52c67c5beea736ca6404ce06e43c90d153a47343e95e8ec423901d03a8df1b",
      "outputTransactionId": "3cf1e030f25e80b1f6b8f4b106b6c984e4e616d892d03439c505942aa217549d",
      "outputIndex": 9,
      "outputGlobalIndex": 27056121,
      "outputCreatedAt": 951564,
      "outputSettledAt": 951571,
      "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(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\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}",
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      "assets": [
        {
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          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "index": 1,
          "amount": 90,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029]"
        }
      }
    },
    {
      "boxId": "5eb81fcf63979a13bd754aafacc244de583ed50e9e298ee4d2d3e4d2fa5866c5",
      "value": 300000,
      "index": 10,
      "spendingProof": null,
      "outputBlockId": "8b6e179d1f6a291980f55c20af60a86de4b03e277c2affa6bcac233da9494931",
      "outputTransactionId": "6526d4130cf066863f8b43777892cdc74fbe4c363d3564a3016e2857e4ac6212",
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      "outputGlobalIndex": 27056294,
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      "outputSettledAt": 951577,
      "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(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\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": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 90,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029]"
        }
      }
    },
    {
      "boxId": "8eb7343f86b870a01f6b8336759406b60c2f268d7897228d3fb078c6f01f984b",
      "value": 300000,
      "index": 11,
      "spendingProof": null,
      "outputBlockId": "c3b97bb3e55d45272c2317c97b3b74635105b0ba5021a2c258280f28aac9266c",
      "outputTransactionId": "94b1d36623189005cc741ef868a78eb56806cf925d8f4ad07eef1e29c983840c",
      "outputIndex": 9,
      "outputGlobalIndex": 27056856,
      "outputCreatedAt": 951589,
      "outputSettledAt": 951593,
      "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(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\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": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 90,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029]"
        }
      }
    },
    {
      "boxId": "16df31b91f28eb37dec731c80d8f6e74d1b2ccca6441d02c60a7c3c79a80dffd",
      "value": 300000,
      "index": 12,
      "spendingProof": null,
      "outputBlockId": "c3b97bb3e55d45272c2317c97b3b74635105b0ba5021a2c258280f28aac9266c",
      "outputTransactionId": "8f88a240b8ce17f672391b035b679e5bb853c8e376c7faff63d5288a3e2a09dd",
      "outputIndex": 9,
      "outputGlobalIndex": 27056874,
      "outputCreatedAt": 951591,
      "outputSettledAt": 951593,
      "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(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\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": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 90,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029]"
        }
      }
    },
    {
      "boxId": "5cf1a7ed9c2435724b931821e9aa39bf3733cf8074bf208f557beecf868f124c",
      "value": 300000,
      "index": 13,
      "spendingProof": null,
      "outputBlockId": "68448313f2684cfc7829d911da94bff40db90513b6fefab4385deb9206b9bb7c",
      "outputTransactionId": "8cd099a0f93f9de358ffd4be82f5d256cf3d0b5f09fd641db6b42df724cb4869",
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      "outputGlobalIndex": 27065928,
      "outputCreatedAt": 951784,
      "outputSettledAt": 951787,
      "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(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\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": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 90,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029]"
        }
      }
    },
    {
      "boxId": "13c6577ffea81029249342b7c75a7191bb728666e90aedd580f55256cf0f83b8",
      "value": 300000,
      "index": 14,
      "spendingProof": null,
      "outputBlockId": "89d3a0c9fe383bf066f58dc7bed0dfd1c23870659909a47c7d0bdc1ae7d6e4ce",
      "outputTransactionId": "600fc911cb4d8c036892c8511700eb3c7707254e6eec06fc3197d5b2493e8218",
      "outputIndex": 9,
      "outputGlobalIndex": 27066786,
      "outputCreatedAt": 951806,
      "outputSettledAt": 951810,
      "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(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\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": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 90,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029]"
        }
      }
    },
    {
      "boxId": "bc7a42eb8687c5e0263614ee583addd4fe3ecce5a8217d86ca8f356b79adade1",
      "value": 300000,
      "index": 15,
      "spendingProof": null,
      "outputBlockId": "d7b32884f4deec7e3430f3f51ccc17806842f6e16f39d765068d2693f19c8905",
      "outputTransactionId": "426f71989bb499148edfab52cf38bdc27bba9828bab5932b3c7c6d614c5bc386",
      "outputIndex": 9,
      "outputGlobalIndex": 27077995,
      "outputCreatedAt": 952190,
      "outputSettledAt": 952193,
      "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(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\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": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 90,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029]"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "2fd84cc2b513cd965cdf992433005b6a794ffc914f87e9896844e6eb3d93bdcc",
      "transactionId": "6483f37461723f94186cc1a45555bb32c6ad5761fed49412acc3da13919e5633",
      "blockId": "98248b7565142dc2fb33ee82d4e3bcd19f6654e8fddac608378fb8dff2be5b65",
      "value": 1100000,
      "index": 0,
      "globalIndex": 27302968,
      "creationHeight": 957970,
      "settlementHeight": 957975,
      "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(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\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": "EE7687i4URb4YuSGSQXPCb7UQgHfhJPtKCU7fZmQpof644wX74ZGWnGcLbxxWnLKb8cQnFxkZF1WWeTgmfjEhuAoF2QaMSE6NLnSwcpcrzvmh9nVzok1b6YLiz4Uva6ijjzyreZJLNsBqMJFw1GT1wWTnW3MZcRapu2T95B6hcPYEcJYqDKJjHYd9VagJ1yTkTqd1pHiarGuxxoiZ1mCkHdFvu8fgcSmDWj1RHA5HJxFg5C1itAKgZqaCxh5RS7xhLzXr69bjLFiTfp7ZgGX4ntq4DqgBEkapDincBD1Nfscjddjscy95SSgpG5LKfUKjSdWJ3UbnUE4ReRqWrg9Cv8XYhUL5RhqdRqY7CFB9C7NJfou5Nhj8QPJemBtjZbB8NUP23hXdKJEBb3oad2qLazzGQ4MSonuL4N3egUzWUefNLnWPyN5oBS5AHZLgoohNZzPQp93Bwe4nqZjjr8UyJZpF7nx2cB3STNF8JozF7JZS5qDYV9Dv5GGGWDxuLZR9CQT5RER9jWVrCiU5v954rfS1u32w7fFwG4Kg5a",
      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 966,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029]"
        },
        "R5": {
          "serializedValue": "0e0100",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "00"
        }
      },
      "spentTransactionId": "84f328f3e95932bb0825d066ba2fe27f73e55faa5896e404ad66037352d7ef35",
      "mainChain": true
    },
    {
      "boxId": "a085cf85121917af6469d61eaa997a0f81444f043214a37f1b409a25361ae73e",
      "transactionId": "6483f37461723f94186cc1a45555bb32c6ad5761fed49412acc3da13919e5633",
      "blockId": "98248b7565142dc2fb33ee82d4e3bcd19f6654e8fddac608378fb8dff2be5b65",
      "value": 1100000,
      "index": 1,
      "globalIndex": 27302969,
      "creationHeight": 957970,
      "settlementHeight": 957975,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-6,-64,-122,-29,-103,68,59,81,-106,-10,108,82,-106,-18,-75,-119,-52,-118,58,-101,1,-121,-85,42,77,-29,-118,-71,-77,-30,-13,-67)\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": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029]"
        },
        "R5": {
          "serializedValue": "1a01201f0cb5d9c06bcd2f41a4d531f45806cfab0a0c4703d7679982c3c28005550c7f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[1f0cb5d9c06bcd2f41a4d531f45806cfab0a0c4703d7679982c3c28005550c7f]"
        },
        "R6": {
          "serializedValue": "0e20aa64e321f061faf9381212a294f5d51e0eaca33b7bd6c8c3cfea0367d2c20da5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "aa64e321f061faf9381212a294f5d51e0eaca33b7bd6c8c3cfea0367d2c20da5"
        },
        "R7": {
          "serializedValue": "0e20203ace1f2606730afc938bf9a38d991bae1f99bc84a7ef66e850d66005a9d921",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "203ace1f2606730afc938bf9a38d991bae1f99bc84a7ef66e850d66005a9d921"
        }
      },
      "spentTransactionId": "d14f060d6bda6da16d34bc7cb165bec2135b1df49c1c8a113c91b7eb9176b390",
      "mainChain": true
    },
    {
      "boxId": "eab45ed4b099bd8b59cffe779464f8cba68dd3f575930b8846106fd763a990df",
      "transactionId": "6483f37461723f94186cc1a45555bb32c6ad5761fed49412acc3da13919e5633",
      "blockId": "98248b7565142dc2fb33ee82d4e3bcd19f6654e8fddac608378fb8dff2be5b65",
      "value": 2242500000,
      "index": 2,
      "globalIndex": 27302970,
      "creationHeight": 957970,
      "settlementHeight": 957975,
      "ergoTree": "0008cd033ec49de7bde69a8bb0ed2cccd2fd66d544bfdf2194efb85188e6220961546503",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3ec49d,fdecef,...)))}",
      "address": "9gwT1vCxXdHSvTaSVPxNMo4Cx3A2WpPgkHSzkFMfrRyyyuxum5m",
      "assets": [
        {
          "tokenId": "484a851b92f503bdc4c28801003b2886980feebea479852fa9734dc82d176029",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "84f328f3e95932bb0825d066ba2fe27f73e55faa5896e404ad66037352d7ef35",
      "mainChain": true
    },
    {
      "boxId": "913e4dcd46818e2fd7552c2f01cba3b4ce872430af1200a460ed9aa5e9982eda",
      "transactionId": "6483f37461723f94186cc1a45555bb32c6ad5761fed49412acc3da13919e5633",
      "blockId": "98248b7565142dc2fb33ee82d4e3bcd19f6654e8fddac608378fb8dff2be5b65",
      "value": 1100000,
      "index": 3,
      "globalIndex": 27302971,
      "creationHeight": 957970,
      "settlementHeight": 957975,
      "ergoTree": "0008cd033ec49de7bde69a8bb0ed2cccd2fd66d544bfdf2194efb85188e6220961546503",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3ec49d,fdecef,...)))}",
      "address": "9gwT1vCxXdHSvTaSVPxNMo4Cx3A2WpPgkHSzkFMfrRyyyuxum5m",
      "assets": [
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 0,
          "amount": 1270,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "fd6d33b363e4bc3bdd05f58222977ed8afdb06084fc5acc150eed41088fb7957",
      "mainChain": true
    },
    {
      "boxId": "31cb1ab1c1ff0f3d64682906c0c2cd14635808079e82318f60cd9fb823184825",
      "transactionId": "6483f37461723f94186cc1a45555bb32c6ad5761fed49412acc3da13919e5633",
      "blockId": "98248b7565142dc2fb33ee82d4e3bcd19f6654e8fddac608378fb8dff2be5b65",
      "value": 1100000,
      "index": 4,
      "globalIndex": 27302972,
      "creationHeight": 957970,
      "settlementHeight": 957975,
      "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": "fa8786ff92e073aa5bb42471fa7c9d709cea1a265236d9fc6a50d01b82c9c7fb",
      "mainChain": true
    }
  ],
  "size": 2121,
  "isUnconfirmed": false
}