Ad
Inputs (12)
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.011 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: 1.83 KB
Received time: 4/4/2023 01:51:10 PM
Included in blocks: 975,173
Confirmations: 792,811
Total coins transferred: 0.0132 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000589 ERG
Raw Transaction Data
{
  "id": "af0d09eeb1b3103135dd17d7040b77f84c5895bb393453b19bf8f2414abeceda",
  "blockId": "7c3b4bd901e9d2d3767c5539540675a6f7fb08d9295ba397f4193390a8dc54da",
  "inclusionHeight": 975173,
  "timestamp": 1680616270900,
  "index": 9,
  "globalIndex": 5000577,
  "numConfirmations": 792811,
  "inputs": [
    {
      "boxId": "4399552ecbbb5d03784bbdc804d2654e3dcd108cb4455d45c439061e985378a1",
      "value": 1100000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "4c7b8c1ab40bddf7c502ade28fa0ded20af5b84687ac1031473818390acebe98",
      "outputTransactionId": "0f3ed62635ab65fb2bdc3a7914b394f49733e6552c0fc0e0329dbff5bd6c0697",
      "outputIndex": 1,
      "outputGlobalIndex": 28005704,
      "outputCreatedAt": 975156,
      "outputSettledAt": 975158,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\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": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120a5921dead7746ef83365dd2ab55c1f877d82cfe0b1f20254c7e06080b1bfb856",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[a5921dead7746ef83365dd2ab55c1f877d82cfe0b1f20254c7e06080b1bfb856]"
        },
        "R5": {
          "serializedValue": "1a0120232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f]"
        },
        "R6": {
          "serializedValue": "0e20436e5be44a0000cd83f822b7dc16a58c090ab88830e76299c43c1f5bd6923751",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "436e5be44a0000cd83f822b7dc16a58c090ab88830e76299c43c1f5bd6923751"
        },
        "R7": {
          "serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
        }
      }
    },
    {
      "boxId": "b7957684d05bd3b59fb24a9655df5bdf1434d99538dfca57dde3a06cbf35936e",
      "value": 1100000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "4c7b8c1ab40bddf7c502ade28fa0ded20af5b84687ac1031473818390acebe98",
      "outputTransactionId": "210293ad82816b2efed8c0f48bfa3fc20c557847d4d3d612d3cbfd4c8b9337f7",
      "outputIndex": 1,
      "outputGlobalIndex": 28005708,
      "outputCreatedAt": 975156,
      "outputSettledAt": 975158,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\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": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01203a9a0cee0835f1fe9fcbfeb0e15f8f33eee9d0ec0de3ffb1e0d06d652ba7247a",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3a9a0cee0835f1fe9fcbfeb0e15f8f33eee9d0ec0de3ffb1e0d06d652ba7247a]"
        },
        "R5": {
          "serializedValue": "1a0120232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f]"
        },
        "R6": {
          "serializedValue": "0e204bfbc2762bca9326fb7bfcdb7079f68ccbe4105fb9f32981b457cdfbf7e8af09",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4bfbc2762bca9326fb7bfcdb7079f68ccbe4105fb9f32981b457cdfbf7e8af09"
        },
        "R7": {
          "serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
        }
      }
    },
    {
      "boxId": "cb7f8ddb993a456d0c62a4624925a89370bfd8ac6dd217a21800f35d3576c1e2",
      "value": 1100000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "4c7b8c1ab40bddf7c502ade28fa0ded20af5b84687ac1031473818390acebe98",
      "outputTransactionId": "7bf21962217b8273743eafa454460817189b6107b59c891d079af38dca558273",
      "outputIndex": 1,
      "outputGlobalIndex": 28005712,
      "outputCreatedAt": 975156,
      "outputSettledAt": 975158,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\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}",
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      "assets": [
        {
          "tokenId": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120c4c79dd692a44f2adef3c7d44f8b484a1125f382ee99226353605aca543547a9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[c4c79dd692a44f2adef3c7d44f8b484a1125f382ee99226353605aca543547a9]"
        },
        "R5": {
          "serializedValue": "1a0120232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f]"
        },
        "R6": {
          "serializedValue": "0e2000e130a160908831290ef9ce65511dc1b3ec8f69e3471f07a2d85108fd2569cf",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "00e130a160908831290ef9ce65511dc1b3ec8f69e3471f07a2d85108fd2569cf"
        },
        "R7": {
          "serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
        }
      }
    },
    {
      "boxId": "f045e52dcb7d396f4babf13252ea47f25b60ec4312517db67c46b59059d3f816",
      "value": 1100000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "4c7b8c1ab40bddf7c502ade28fa0ded20af5b84687ac1031473818390acebe98",
      "outputTransactionId": "7f5aa97bd4e3e449796836d8c4639a76741a78511f64a137a36915a852fc1d52",
      "outputIndex": 1,
      "outputGlobalIndex": 28005716,
      "outputCreatedAt": 975156,
      "outputSettledAt": 975158,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\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}",
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      "assets": [
        {
          "tokenId": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
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        "R4": {
          "serializedValue": "1a0120555ceb9a0324e5d8cf32b9cfd2b9801dda884a5c5907f01ef0c24b40dd20d7d1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[555ceb9a0324e5d8cf32b9cfd2b9801dda884a5c5907f01ef0c24b40dd20d7d1]"
        },
        "R5": {
          "serializedValue": "1a0120232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f]"
        },
        "R6": {
          "serializedValue": "0e20e2a68120d21bf88f6c1d6a18992a65c1d336d840bc3f4ee8856089f9a537d8e2",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e2a68120d21bf88f6c1d6a18992a65c1d336d840bc3f4ee8856089f9a537d8e2"
        },
        "R7": {
          "serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
        }
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    {
      "boxId": "3aa6274b529bf3a22320d7bb1e8a328ef7bf8163b9874cf137250514a3c283e2",
      "value": 1100000,
      "index": 4,
      "spendingProof": null,
      "outputBlockId": "4c7b8c1ab40bddf7c502ade28fa0ded20af5b84687ac1031473818390acebe98",
      "outputTransactionId": "8583036224e0f70f99c559f34d7c526b499d26d4b1805e13e7258f4d5cee65b4",
      "outputIndex": 1,
      "outputGlobalIndex": 28005720,
      "outputCreatedAt": 975156,
      "outputSettledAt": 975158,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\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}",
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      "assets": [
        {
          "tokenId": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120e76fe1fbaa9a9c7f95b5cf3efc2bdb98da84aa782e3a5830e0cdf6b9135de394",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[e76fe1fbaa9a9c7f95b5cf3efc2bdb98da84aa782e3a5830e0cdf6b9135de394]"
        },
        "R5": {
          "serializedValue": "1a0120232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f]"
        },
        "R6": {
          "serializedValue": "0e2007baffa98de33cff7573e6ce927692e313fc3900603f40fe9c4dee4e7cc42c1f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "07baffa98de33cff7573e6ce927692e313fc3900603f40fe9c4dee4e7cc42c1f"
        },
        "R7": {
          "serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
        }
      }
    },
    {
      "boxId": "95c7f48d4c365b5e8f9165514d475299bf511017f0937196138f34b6b902d58b",
      "value": 1100000,
      "index": 5,
      "spendingProof": null,
      "outputBlockId": "4c7b8c1ab40bddf7c502ade28fa0ded20af5b84687ac1031473818390acebe98",
      "outputTransactionId": "8a8581e9db418a1bd0efcbf0dbb7418bb5ef383dc230de2c6687b51885668893",
      "outputIndex": 1,
      "outputGlobalIndex": 28005724,
      "outputCreatedAt": 975156,
      "outputSettledAt": 975158,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\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": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012087b4bceb83a74696477c8a1fda909db92754c2d6e22aa612d260e78756d28be2",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[87b4bceb83a74696477c8a1fda909db92754c2d6e22aa612d260e78756d28be2]"
        },
        "R5": {
          "serializedValue": "1a0120232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f]"
        },
        "R6": {
          "serializedValue": "0e20b3be574c6ac66f53b70388bad8eac8474415b0fa859cb654775a7e3c65279746",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b3be574c6ac66f53b70388bad8eac8474415b0fa859cb654775a7e3c65279746"
        },
        "R7": {
          "serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
        }
      }
    },
    {
      "boxId": "aff082e02ede4bc2ec90615b6a69f03429c42374fbeb4db497bb98a8b0b68f1f",
      "value": 1100000,
      "index": 6,
      "spendingProof": null,
      "outputBlockId": "4c7b8c1ab40bddf7c502ade28fa0ded20af5b84687ac1031473818390acebe98",
      "outputTransactionId": "a7afc72dfc15f1c64dfd02df0a7cad88569a47973e6343057cb681f5828aaa0f",
      "outputIndex": 1,
      "outputGlobalIndex": 28005728,
      "outputCreatedAt": 975156,
      "outputSettledAt": 975158,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\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": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9]"
        },
        "R5": {
          "serializedValue": "1a0120232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f]"
        },
        "R6": {
          "serializedValue": "0e2034fc4ded8d4faf1d1665207f50fd044805a73265efeb50d9719c8de7611d2983",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "34fc4ded8d4faf1d1665207f50fd044805a73265efeb50d9719c8de7611d2983"
        },
        "R7": {
          "serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
        }
      }
    },
    {
      "boxId": "ea66577da85296648b119fe2ee0b6214667040a4f4a22e64019b64fd2b37559d",
      "value": 1100000,
      "index": 7,
      "spendingProof": null,
      "outputBlockId": "4c7b8c1ab40bddf7c502ade28fa0ded20af5b84687ac1031473818390acebe98",
      "outputTransactionId": "a8449430f4e6b62034c8a0b0cc5a678d49db6fd6e56a94edea6535030d1d0b0c",
      "outputIndex": 1,
      "outputGlobalIndex": 28005732,
      "outputCreatedAt": 975156,
      "outputSettledAt": 975158,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\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": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120bf0f0c2d13381c12f676abf35a21316848ca12ae9b524ef77e383cf5368d0428",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[bf0f0c2d13381c12f676abf35a21316848ca12ae9b524ef77e383cf5368d0428]"
        },
        "R5": {
          "serializedValue": "1a0120232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f]"
        },
        "R6": {
          "serializedValue": "0e204cb9db0e9b958882637b596a0fbf777280de7bb26df0c3fb877ee7462d682658",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4cb9db0e9b958882637b596a0fbf777280de7bb26df0c3fb877ee7462d682658"
        },
        "R7": {
          "serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
        }
      }
    },
    {
      "boxId": "a2e4511c3668d6dfe1368af2d53bcc0cb80f17b77d58f5d34017384fca35f9fd",
      "value": 1100000,
      "index": 8,
      "spendingProof": null,
      "outputBlockId": "4c7b8c1ab40bddf7c502ade28fa0ded20af5b84687ac1031473818390acebe98",
      "outputTransactionId": "e13ec66e8168534330ef065170fb81f56ff6da9f66706ee5265d399fc6429d8c",
      "outputIndex": 1,
      "outputGlobalIndex": 28005736,
      "outputCreatedAt": 975156,
      "outputSettledAt": 975158,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\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": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120d497111ddc57ad3b4142f072bb6df3a2a8c141525f9781ed770dba624d3158ba",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[d497111ddc57ad3b4142f072bb6df3a2a8c141525f9781ed770dba624d3158ba]"
        },
        "R5": {
          "serializedValue": "1a0120232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f]"
        },
        "R6": {
          "serializedValue": "0e20a85d55ea6d5b03913d8de915fe8db5b15ea1f1440b0374e439526c0f621af91b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a85d55ea6d5b03913d8de915fe8db5b15ea1f1440b0374e439526c0f621af91b"
        },
        "R7": {
          "serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
        }
      }
    },
    {
      "boxId": "131bbca2d9f9c4a9fbb19f395b63c8bd3a3ca90ee041540f4c7a22ff3590d406",
      "value": 1100000,
      "index": 9,
      "spendingProof": null,
      "outputBlockId": "4c7b8c1ab40bddf7c502ade28fa0ded20af5b84687ac1031473818390acebe98",
      "outputTransactionId": "fbae75c2d7dd86878cb234deaf04737cbb9602676cededadad823c3e908bbec6",
      "outputIndex": 1,
      "outputGlobalIndex": 28005740,
      "outputCreatedAt": 975156,
      "outputSettledAt": 975158,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(8,124,-70,54,28,127,107,124,-107,50,0,-2,48,-34,69,-27,-4,-78,-46,-63,-51,-23,21,75,59,60,-118,92,40,-36,97,-19)\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": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120a94132e44866c307fecaf9cb8b2ef69e90f4100215994509d09181512289944c",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[a94132e44866c307fecaf9cb8b2ef69e90f4100215994509d09181512289944c]"
        },
        "R5": {
          "serializedValue": "1a0120232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[232ddb0c370a5fbc86440c754345ac517ed9b5b3b6b68e73b001b1ea2656490f]"
        },
        "R6": {
          "serializedValue": "0e201926fed21f91bf3332e9b0c121eee1b7b89edb402438c16b656a490c684c85fc",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1926fed21f91bf3332e9b0c121eee1b7b89edb402438c16b656a490c684c85fc"
        },
        "R7": {
          "serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
        }
      }
    },
    {
      "boxId": "32505c5a986ca3001a0c7fa24691e30d63473ccf585af617d162ef5b6d042402",
      "value": 1100000,
      "index": 10,
      "spendingProof": "fde8f2f69c641dae317c5e62cefb5cfa82aec82260fe9b88d6cae9fafed0c41fbce17fe700263c734804e4b675b73c00a523b6c1d85d646d",
      "outputBlockId": "65e4f8ff4316e1aaa8f8e99d281ab51b252cd50bbe1b22e75d92ec73ea81b8d9",
      "outputTransactionId": "ecac5b1c998ea3baf5c4314c87384a74e798f6fa8e88ca17207fc41f7a725192",
      "outputIndex": 3,
      "outputGlobalIndex": 27882914,
      "outputCreatedAt": 971510,
      "outputSettledAt": 971512,
      "ergoTree": "0008cd0267da639b4b0fbcc8b946c22c9fa0069f4ef14b6f89f42619fb4c8230115a70ce",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(67da63,7bd829,...)))}",
      "address": "9fJoJWJBFmVY9ph3rDiQR2LHzXoTy6QSjwWJUeMzJ1pSwW3kGRn",
      "assets": [
        {
          "tokenId": "51c1745883a62db6cf47f5765bd695317a01e54bcaaaeaa4aab0b517d2f46a24",
          "index": 0,
          "amount": 3,
          "name": "RSN.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "247d5759c0a3eade59786031fc2590f9578f7e31056eb56917cbc9b02547e6af",
      "value": 1100000,
      "index": 11,
      "spendingProof": "612d235037787268c8d50673493251b8bfbfd752c4ff232932f28dabb4c8ed7709c4aaa86a09538d2fa561fc52a9f0e6e12ac8b0501b36d4",
      "outputBlockId": "6bac4e5ffe998b5480b4144c802d07fe2f43358f11b317502b3300e263eb0842",
      "outputTransactionId": "14243478a227d92db4db8644085c1699fccc7803d7fd34507996db99d8c28eca",
      "outputIndex": 3,
      "outputGlobalIndex": 27927344,
      "outputCreatedAt": 972830,
      "outputSettledAt": 972833,
      "ergoTree": "0008cd0267da639b4b0fbcc8b946c22c9fa0069f4ef14b6f89f42619fb4c8230115a70ce",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(67da63,7bd829,...)))}",
      "address": "9fJoJWJBFmVY9ph3rDiQR2LHzXoTy6QSjwWJUeMzJ1pSwW3kGRn",
      "assets": [
        {
          "tokenId": "51c1745883a62db6cf47f5765bd695317a01e54bcaaaeaa4aab0b517d2f46a24",
          "index": 0,
          "amount": 75,
          "name": "RSN.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "36a598608ed9bb5e80382502bd28c33a19bce4e0bce31ebf96ef182524460100",
      "value": 1100000,
      "index": 0,
      "outputBlockId": "906a72270ba46ca9235090f96e5c2d2ad08d723141c0985fb26eb13ed73c2ddc",
      "outputTransactionId": "c88c4ae3cf16a7001cfb6e1be5c9308b7310c514b6854d498639e40443603c8e",
      "outputIndex": 0,
      "ergoTree": "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",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[63617264616e6f,3a9a0cee0835f1fe9fcbfeb0e15f8f33eee9d0ec0de3ffb1e0d06d652ba7247a,a5921dead7746ef83365dd2ab55c1f877d82cfe0b1f20254c7e06080b1bfb856,87b4bceb83a74696477c8a1fda909db92754c2d6e22aa612d260e78756d28be2,d497111ddc57ad3b4142f072bb6df3a2a8c141525f9781ed770dba624d3158ba,033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9,c4c79dd692a44f2adef3c7d44f8b484a1125f382ee99226353605aca543547a9,a94132e44866c307fecaf9cb8b2ef69e90f4100215994509d09181512289944c,bf0f0c2d13381c12f676abf35a21316848ca12ae9b524ef77e383cf5368d0428,555ceb9a0324e5d8cf32b9cfd2b9801dda884a5c5907f01ef0c24b40dd20d7d1,e76fe1fbaa9a9c7f95b5cf3efc2bdb98da84aa782e3a5830e0cdf6b9135de394]"
        },
        "R5": {
          "serializedValue": "110b00d00fd00fd00fd00fd00fd00fd00fd00fd00fd00f",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,1000,1000,1000,1000,1000,1000,1000,1000,1000,1000]"
        },
        "R6": {
          "serializedValue": "1104d00f8c010228",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1000,70,1,20]"
        },
        "R7": {
          "serializedValue": "0400",
          "sigmaType": "SInt",
          "renderedValue": "0"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "51a27b88c318ac108429485029e0966c1605b9543d4a04e447ea1e9a6b079651",
      "transactionId": "af0d09eeb1b3103135dd17d7040b77f84c5895bb393453b19bf8f2414abeceda",
      "blockId": "7c3b4bd901e9d2d3767c5539540675a6f7fb08d9295ba397f4193390a8dc54da",
      "value": 11000000,
      "index": 0,
      "globalIndex": 28005957,
      "creationHeight": 975170,
      "settlementHeight": 975173,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(51,-52,-8,-95,100,29,25,107,-88,85,35,-119,94,16,3,-56,96,-21,19,-120,60,-128,-109,45,117,91,-53,106,36,-118,107,55)\n3: 1\n4: 0\n5: Coll(-57,-98,23,72,-24,98,-88,12,79,113,-109,7,123,96,15,-97,-5,101,-58,18,41,127,-102,-120,41,64,112,68,-63,-21,16,102)\n6: 7200\n7: Coll(-93,87,-80,5,86,-23,-23,60,104,-34,26,73,-30,-7,-41,-60,-110,93,-91,-62,118,103,2,-20,73,-79,-91,14,88,40,23,19)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Coll[Byte]]].get\n  val i2 = coll1.size\n  val coll3 = OUTPUTS.slice(placeholder[Int](0), i2)\n  val coll4 = OUTPUTS(placeholder[Int](1)).propositionBytes\n  val coll5 = blake2b256(coll4)\n  sigmaProp(allOf(Coll[Boolean](i2 == coll3.size, coll1.zip(coll3).forall({(tuple6: (Coll[Byte], Box)) =>\n            val box8 = tuple6._2\n            (Coll[Coll[Byte]](tuple6._1) == box8.R4[Coll[Coll[Byte]]].get) && (box8.propositionBytes == coll4)\n          }), if (coll5 == placeholder[Coll[Byte]](2)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == placeholder[Coll[Byte]](5), HEIGHT - placeholder[Int](6) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](7) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
      "address": "21oSXpSmAC6qabi7qcjxyUJZw1N2pPNmzvra4FxhZfFTi6bZPeFRC2ycs7xLopFjtFEK2oSBx8N6RWdseVZYzAJy4WYXiyUZo4w9Z7BjmerEgoyRkb46fHr2JakVqqVP9igfSAqYiik9ya2a1BSH4w6s8Awwuog8GuB3iZhXtyKNk48WVxiqpPqgn5aU6wwnaonQNbV2fBnUGg3QGwicHxMkFhpEJiMZGzuSEshbTNi3RMq6ucUsxCbifSkzZZd5ZdYiH3Y6EGvq6scVwJAAnxjR2xQvDLAXQWtrFLiUTKwvmdFdXc18aPb5KrLjLL9fTLkkaUsbYhigvmMJp8Cq6tGxb45VoyobYQqL3bBqAg8wW3cXiu",
      "assets": [
        {
          "tokenId": "747ffbe3403d8013e5033398dc8f09a3594f51d0250f2075cc559782ae2fa846",
          "index": 0,
          "amount": 10,
          "name": "Cardano-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[a5921dead7746ef83365dd2ab55c1f877d82cfe0b1f20254c7e06080b1bfb856,3a9a0cee0835f1fe9fcbfeb0e15f8f33eee9d0ec0de3ffb1e0d06d652ba7247a,c4c79dd692a44f2adef3c7d44f8b484a1125f382ee99226353605aca543547a9,555ceb9a0324e5d8cf32b9cfd2b9801dda884a5c5907f01ef0c24b40dd20d7d1,e76fe1fbaa9a9c7f95b5cf3efc2bdb98da84aa782e3a5830e0cdf6b9135de394,87b4bceb83a74696477c8a1fda909db92754c2d6e22aa612d260e78756d28be2,033587a98130e05f630b9760037d7d3cca348e781ed605e571328db2a8b79ae9,bf0f0c2d13381c12f676abf35a21316848ca12ae9b524ef77e383cf5368d0428,d497111ddc57ad3b4142f072bb6df3a2a8c141525f9781ed770dba624d3158ba,a94132e44866c307fecaf9cb8b2ef69e90f4100215994509d09181512289944c]"
        },
        "R5": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[33613566353863393431623131316161663064306138303561383435643331333531376535353566396337373231303135323338393462613735663261633835,63617264616e6f,6572676f,616464723171386b6366386a37343972716c333468677464356d636336323637736d7575757a7a6e687171766a6b673539356e3535786b34657a7a726761686c7370736839353873336e6a396a686c73726e706b7036636b7963717837757379736b64676c7176,3967436866336d3836374a794b446f343246704c6d343838763664633941365a33456a4e346233505037594256326171534677,00000000004c4b40,000000000000c350,0000000000124f80,6173736574313464357561737071796e3837656370386a347961776d6775777267756e353038363533337a37,63353965383665663964303238306465353832643632363661646431386663613333396137376466623332313236386538333033336665343731303164633464,65353464616330346463366565376266393761636163303738656534353363366566353930353663613333663734356536326433646237303663366336313865,0000000000834aea]"
        },
        "R6": {
          "serializedValue": "0e20bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bbe59a766c51012b854c5372b619dfbe3d7877be19be80424541f6a498375e37"
        }
      },
      "spentTransactionId": "f1661099ed6ea1be5e975c1ed23369fae4f415c60a1201afce0a59f746a0c902",
      "mainChain": true
    },
    {
      "boxId": "24099be9c001d8a08bfeb5827b687847ef4bcb72efa2d333dfe2721d15a2eb51",
      "transactionId": "af0d09eeb1b3103135dd17d7040b77f84c5895bb393453b19bf8f2414abeceda",
      "blockId": "7c3b4bd901e9d2d3767c5539540675a6f7fb08d9295ba397f4193390a8dc54da",
      "value": 1100000,
      "index": 1,
      "globalIndex": 28005958,
      "creationHeight": 975170,
      "settlementHeight": 975173,
      "ergoTree": "0008cd0267da639b4b0fbcc8b946c22c9fa0069f4ef14b6f89f42619fb4c8230115a70ce",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(67da63,7bd829,...)))}",
      "address": "9fJoJWJBFmVY9ph3rDiQR2LHzXoTy6QSjwWJUeMzJ1pSwW3kGRn",
      "assets": [
        {
          "tokenId": "51c1745883a62db6cf47f5765bd695317a01e54bcaaaeaa4aab0b517d2f46a24",
          "index": 0,
          "amount": 78,
          "name": "RSN.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "32ca8284181034fc2cfc107bc95c7832dcca8d43ec9f1f31aa1156f3fab1b20e",
      "mainChain": true
    },
    {
      "boxId": "7fc7b1e7b1416d5a01bdda4a1d0311a822d78332b3ddf9e984c991dc3526e3b1",
      "transactionId": "af0d09eeb1b3103135dd17d7040b77f84c5895bb393453b19bf8f2414abeceda",
      "blockId": "7c3b4bd901e9d2d3767c5539540675a6f7fb08d9295ba397f4193390a8dc54da",
      "value": 1100000,
      "index": 2,
      "globalIndex": 28005959,
      "creationHeight": 975170,
      "settlementHeight": 975173,
      "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": "176529ee1a9585db8512337458a66081891fc9e9ed913e4649cc5aee02353189",
      "mainChain": true
    }
  ],
  "size": 1869,
  "isUnconfirmed": false
}