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Inputs (8)
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
2.45 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...
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:
2.45 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: 1.81 KB
Received time: 1/29/2023 06:00:30 AM
Included in blocks: 928,576
Confirmations: 839,986
Total coins transferred: 2.46 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000595 ERG
Raw Transaction Data
{
  "id": "af320c3d67b1910058f52a5637b7ee9c196649e99c7629f33a3949f27219eef8",
  "blockId": "62892fc94ef8fda55fdf521cb3345d31e1913634c86f43a2b5a36f856a920952",
  "inclusionHeight": 928576,
  "timestamp": 1674972030742,
  "index": 8,
  "globalIndex": 4682902,
  "numConfirmations": 839986,
  "inputs": [
    {
      "boxId": "4fe5ce03d19e70a86e61d7dc904cf349d62ad63ad6fea109a7db2a1f41b4fe70",
      "value": 300000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "fa7da3cb4f8ba0e0294acc3ae9d8bf9dabcf926fdf68c47f48ac936a7124e93f",
      "outputTransactionId": "f96bd571de5178646788e939e7c907daf576ce51e35c2a58b45ae58e8aab7ee7",
      "outputIndex": 6,
      "outputGlobalIndex": 25254261,
      "outputCreatedAt": 910897,
      "outputSettledAt": 910903,
      "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"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
    {
      "boxId": "02d7d83700b9755819544e17169519a922b992f1a8b5a623735653c56173f7f3",
      "value": 2454000000,
      "index": 1,
      "spendingProof": "8a4cf47fa80a79d6d6427b69f76bef7963a3d07881ad2b27e285e06a5e68ad045db22858049e65bd80f25832a21c8a0433d07faca1d8a27a",
      "outputBlockId": "879e21b379cdd3b8c76fa033a623e1cf0cb4f26036201c14a476e531a32d669d",
      "outputTransactionId": "dcf25a4a315c746fbde3c25c3d48035929336d99dc2bca8436f65e34b43ab995",
      "outputIndex": 2,
      "outputGlobalIndex": 25210562,
      "outputCreatedAt": 910123,
      "outputSettledAt": 910126,
      "ergoTree": "0008cd03c1ae4ce997f738d78f46873c1a1d5140e4fe43e007cbff34e05c3afdb0103b71",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c1ae4c,b5c469,...)))}",
      "address": "9hw71UpUVz2998ziSN7LWzSE5ddjaVivZCJEVvPVxmEvT2EkTrX",
      "assets": [
        {
          "tokenId": "005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "0ab4b332eb34059d20f4d6f7e54697cbb5aa37b91fa8a9c3f4218f9e5f75dcfc",
      "value": 300000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "fa7da3cb4f8ba0e0294acc3ae9d8bf9dabcf926fdf68c47f48ac936a7124e93f",
      "outputTransactionId": "af0eb1e44c710c050c6ad74e8920498a70acfd4db5d45a69189c1ea2c39ca0e0",
      "outputIndex": 3,
      "outputGlobalIndex": 25254244,
      "outputCreatedAt": 910897,
      "outputSettledAt": 910903,
      "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"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
    {
      "boxId": "f61646e37695aa725a570e1fd8d8c20a5302b82319c2eb20aae8e1a0b3efc879",
      "value": 300000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "fa7da3cb4f8ba0e0294acc3ae9d8bf9dabcf926fdf68c47f48ac936a7124e93f",
      "outputTransactionId": "8293e1f36d4d2e1a046e071a4942a59cdd960cd412ef785111586ba31ed135fe",
      "outputIndex": 7,
      "outputGlobalIndex": 25254234,
      "outputCreatedAt": 910897,
      "outputSettledAt": 910903,
      "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"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
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      "value": 300000,
      "index": 4,
      "spendingProof": null,
      "outputBlockId": "fa7da3cb4f8ba0e0294acc3ae9d8bf9dabcf926fdf68c47f48ac936a7124e93f",
      "outputTransactionId": "57f5cad297c4f5dda5ebe257a8e73921444865342f47c78161b3f9de73912678",
      "outputIndex": 3,
      "outputGlobalIndex": 25254216,
      "outputCreatedAt": 910897,
      "outputSettledAt": 910903,
      "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": 100,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
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      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
    {
      "boxId": "6ceb8cc39d20e1b0cd1a7a0290f71abc24201279d60654ef5f22e40333395e86",
      "value": 300000,
      "index": 5,
      "spendingProof": null,
      "outputBlockId": "fa7da3cb4f8ba0e0294acc3ae9d8bf9dabcf926fdf68c47f48ac936a7124e93f",
      "outputTransactionId": "33f4ebe07f214bd4d0a100028db4ea0845bf4f5cef6b6a8be510a74cb29c33a8",
      "outputIndex": 2,
      "outputGlobalIndex": 25254201,
      "outputCreatedAt": 910897,
      "outputSettledAt": 910903,
      "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": 100,
          "name": "RSN-V.beta",
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          "type": "EIP-004"
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      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
    {
      "boxId": "a5bc55f7651cbe66a8b510d55313ab52d3da528d2e95982cece7d8c1d804101c",
      "value": 300000,
      "index": 6,
      "spendingProof": null,
      "outputBlockId": "fa7da3cb4f8ba0e0294acc3ae9d8bf9dabcf926fdf68c47f48ac936a7124e93f",
      "outputTransactionId": "01bf8956e4691da490a167c79ad9e6d4b80000dce62639780bac143e8a5b20cd",
      "outputIndex": 5,
      "outputGlobalIndex": 25254190,
      "outputCreatedAt": 910897,
      "outputSettledAt": 910903,
      "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": 100,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
    {
      "boxId": "3cde9c357cec71b9787d75a97282fdaf5c79d74453dae23608b69f6eac6ed1d7",
      "value": 1100000,
      "index": 7,
      "spendingProof": null,
      "outputBlockId": "879e21b379cdd3b8c76fa033a623e1cf0cb4f26036201c14a476e531a32d669d",
      "outputTransactionId": "dcf25a4a315c746fbde3c25c3d48035929336d99dc2bca8436f65e34b43ab995",
      "outputIndex": 0,
      "outputGlobalIndex": 25210560,
      "outputCreatedAt": 910123,
      "outputSettledAt": 910126,
      "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": 991,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        },
        "R5": {
          "serializedValue": "0e0100",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "00"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "62ca0e760c0a16ff5808ab8e654c31a39181f6d18589d43fc5d6e32b8e90a79c",
      "transactionId": "af320c3d67b1910058f52a5637b7ee9c196649e99c7629f33a3949f27219eef8",
      "blockId": "62892fc94ef8fda55fdf521cb3345d31e1913634c86f43a2b5a36f856a920952",
      "value": 1100000,
      "index": 0,
      "globalIndex": 26057159,
      "creationHeight": 928570,
      "settlementHeight": 928576,
      "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": 996,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        },
        "R5": {
          "serializedValue": "0e0100",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "00"
        }
      },
      "spentTransactionId": "179cf3b19a156e9646e874400ca5bdf25a36175c7f0149f5425a564544d90110",
      "mainChain": true
    },
    {
      "boxId": "52e9c70c9bb1e81a7145fa829d29a32ad2667c2056fae024bb2d158404d4249b",
      "transactionId": "af320c3d67b1910058f52a5637b7ee9c196649e99c7629f33a3949f27219eef8",
      "blockId": "62892fc94ef8fda55fdf521cb3345d31e1913634c86f43a2b5a36f856a920952",
      "value": 1100000,
      "index": 1,
      "globalIndex": 26057160,
      "creationHeight": 928570,
      "settlementHeight": 928576,
      "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": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        },
        "R5": {
          "serializedValue": "1a01205a54a3e5d08955c6129c0046b8528740de187243272d67d8ecec9cc3359ddc42",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[5a54a3e5d08955c6129c0046b8528740de187243272d67d8ecec9cc3359ddc42]"
        },
        "R6": {
          "serializedValue": "0e20e9ce4cbca0902b79ee3ab4dc5f904204a038037dab63030c93399aa55baf4734",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e9ce4cbca0902b79ee3ab4dc5f904204a038037dab63030c93399aa55baf4734"
        },
        "R7": {
          "serializedValue": "0e20203ace1f2606730afc938bf9a38d991bae1f99bc84a7ef66e850d66005a9d921",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "203ace1f2606730afc938bf9a38d991bae1f99bc84a7ef66e850d66005a9d921"
        }
      },
      "spentTransactionId": "4557663daf5c5288918a2840b45f95e2530a93fb6dc3383ea3554c99f07ef4c4",
      "mainChain": true
    },
    {
      "boxId": "84a8c1ea0a12289fb9af0bf974654cbd68b3f0013b3e8776a3cf6a60f14685bd",
      "transactionId": "af320c3d67b1910058f52a5637b7ee9c196649e99c7629f33a3949f27219eef8",
      "blockId": "62892fc94ef8fda55fdf521cb3345d31e1913634c86f43a2b5a36f856a920952",
      "value": 2452500000,
      "index": 2,
      "globalIndex": 26057161,
      "creationHeight": 928570,
      "settlementHeight": 928576,
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}