Ad
Inputs (11)
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:
0.0099 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: 1.72 KB
Received time: 4/30/2023 12:30:13 PM
Included in blocks: 993,610
Confirmations: 775,440
Total coins transferred: 0.0121 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000623 ERG
Raw Transaction Data
{
  "id": "7da82c64723d8615363cfcb4824fb37198706f6667c3f08532bfee498c76ec29",
  "blockId": "84ade0541ebd096523a1aaad816c91d5c339bc94c6f444f33e64ab54c819f1dc",
  "inclusionHeight": 993610,
  "timestamp": 1682857813516,
  "index": 28,
  "globalIndex": 5124875,
  "numConfirmations": 775440,
  "inputs": [
    {
      "boxId": "c02b71b3c8acfff6e9c41001f4dd3041dabe0e8c746fcf96ed5d307d76500cd0",
      "value": 1100000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "0e3780f0a1e5d8e6235aa4f13ee72810c58a1c523938917ba6081db9cc5da27e",
      "outputTransactionId": "00f724c6d7b7316961acb54fdb7e9767e80ab2e43aae9b783613047f72b7c12a",
      "outputIndex": 1,
      "outputGlobalIndex": 28717618,
      "outputCreatedAt": 993594,
      "outputSettledAt": 993597,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = coll6.size\n      val i15 = coll13.size\n      val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n      val coll17 = box16.R6[Coll[Long]].get\n      val l18 = coll17(placeholder[Int](13))\n      val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n        Long\n      ](17)\n      val tuple20 = box5.tokens(placeholder[Int](18))\n      val tuple21 = SELF.tokens(placeholder[Int](19))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n              placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n            ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n              {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n            ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n              Coll[Byte]\n            ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n              if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n            ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n          )\n        )\n      )\n    )} else {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](27)\n            ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    }\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test2",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01209ce8fd70828ac0c4feed41cdd2a9d7906a07f7e1241109229eb16e1ee7e06a2a",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9ce8fd70828ac0c4feed41cdd2a9d7906a07f7e1241109229eb16e1ee7e06a2a]"
        },
        "R5": {
          "serializedValue": "1a012016b6a149d18bd2ac778ef8dd4f12b8915c7ad29b55068c31cbd38fdf94946035",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[16b6a149d18bd2ac778ef8dd4f12b8915c7ad29b55068c31cbd38fdf94946035]"
        },
        "R6": {
          "serializedValue": "0e20efa6223c464ec9726c7126a9f09fb26157a4b555cb00d60ac926b7abb78430d7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "efa6223c464ec9726c7126a9f09fb26157a4b555cb00d60ac926b7abb78430d7"
        },
        "R7": {
          "serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
        }
      }
    },
    {
      "boxId": "82b3a532a74aed68002f97fd3ea4bca94b6b28c91c633a12624888124b327a1a",
      "value": 1100000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "0e3780f0a1e5d8e6235aa4f13ee72810c58a1c523938917ba6081db9cc5da27e",
      "outputTransactionId": "25b7349517767e4c05c0cb6e452acd08dce4766f8231a9c739d2d25d5f667254",
      "outputIndex": 1,
      "outputGlobalIndex": 28717622,
      "outputCreatedAt": 993594,
      "outputSettledAt": 993597,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = coll6.size\n      val i15 = coll13.size\n      val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n      val coll17 = box16.R6[Coll[Long]].get\n      val l18 = coll17(placeholder[Int](13))\n      val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n        Long\n      ](17)\n      val tuple20 = box5.tokens(placeholder[Int](18))\n      val tuple21 = SELF.tokens(placeholder[Int](19))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n              placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n            ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n              {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n            ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n              Coll[Byte]\n            ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n              if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n            ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n          )\n        )\n      )\n    )} else {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](27)\n            ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    }\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test2",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120ea704cf8e1b8d400c1df0fb70b94440b465d19c3684a15d265041dc4192b76a7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[ea704cf8e1b8d400c1df0fb70b94440b465d19c3684a15d265041dc4192b76a7]"
        },
        "R5": {
          "serializedValue": "1a012016b6a149d18bd2ac778ef8dd4f12b8915c7ad29b55068c31cbd38fdf94946035",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[16b6a149d18bd2ac778ef8dd4f12b8915c7ad29b55068c31cbd38fdf94946035]"
        },
        "R6": {
          "serializedValue": "0e201b988ac811405d7de1b0eb3d5a0c3fca281fe5e260618a2c13f5831182585c60",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1b988ac811405d7de1b0eb3d5a0c3fca281fe5e260618a2c13f5831182585c60"
        },
        "R7": {
          "serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
        }
      }
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      "index": 2,
      "spendingProof": null,
      "outputBlockId": "0e3780f0a1e5d8e6235aa4f13ee72810c58a1c523938917ba6081db9cc5da27e",
      "outputTransactionId": "458d15ceb750a8b5d5d516b5c1802c508d2236e926e47bdfcbe7245fad218933",
      "outputIndex": 1,
      "outputGlobalIndex": 28717626,
      "outputCreatedAt": 993594,
      "outputSettledAt": 993597,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = coll6.size\n      val i15 = coll13.size\n      val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n      val coll17 = box16.R6[Coll[Long]].get\n      val l18 = coll17(placeholder[Int](13))\n      val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n        Long\n      ](17)\n      val tuple20 = box5.tokens(placeholder[Int](18))\n      val tuple21 = SELF.tokens(placeholder[Int](19))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n              placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n            ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n              {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n            ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n              Coll[Byte]\n            ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n              if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n            ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n          )\n        )\n      )\n    )} else {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](27)\n            ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    }\n  )}\n}",
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      "assets": [
        {
          "tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test2",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012072eadf8bef7d2597cda26de0fb673616b44a66a3adc7ab57c6cfcac6a68ef639",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[72eadf8bef7d2597cda26de0fb673616b44a66a3adc7ab57c6cfcac6a68ef639]"
        },
        "R5": {
          "serializedValue": "1a012016b6a149d18bd2ac778ef8dd4f12b8915c7ad29b55068c31cbd38fdf94946035",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[16b6a149d18bd2ac778ef8dd4f12b8915c7ad29b55068c31cbd38fdf94946035]"
        },
        "R6": {
          "serializedValue": "0e203dbf589b673ba6f19c7fda9318aaf952cc5411e4a2e6c312dfc81a40d2da8c0b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "3dbf589b673ba6f19c7fda9318aaf952cc5411e4a2e6c312dfc81a40d2da8c0b"
        },
        "R7": {
          "serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
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      "boxId": "0a1764b84a1db6459d173ffdc8d7ecd937f5e3816bd694d9d51f3e0b8ec480c5",
      "value": 1100000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "0e3780f0a1e5d8e6235aa4f13ee72810c58a1c523938917ba6081db9cc5da27e",
      "outputTransactionId": "5daf76e688a1b14d5caa36a8a01c788e263376e3fdca87c6911f320e2aa64182",
      "outputIndex": 1,
      "outputGlobalIndex": 28717630,
      "outputCreatedAt": 993594,
      "outputSettledAt": 993597,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = coll6.size\n      val i15 = coll13.size\n      val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n      val coll17 = box16.R6[Coll[Long]].get\n      val l18 = coll17(placeholder[Int](13))\n      val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n        Long\n      ](17)\n      val tuple20 = box5.tokens(placeholder[Int](18))\n      val tuple21 = SELF.tokens(placeholder[Int](19))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n              placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n            ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n              {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n            ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n              Coll[Byte]\n            ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n              if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n            ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n          )\n        )\n      )\n    )} else {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](27)\n            ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    }\n  )}\n}",
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      "assets": [
        {
          "tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test2",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
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        "R4": {
          "serializedValue": "1a0120c82c3244ca29369cb806c64d3f627817bf2971b08adaea572a5b680acae27c6d",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[c82c3244ca29369cb806c64d3f627817bf2971b08adaea572a5b680acae27c6d]"
        },
        "R5": {
          "serializedValue": "1a012016b6a149d18bd2ac778ef8dd4f12b8915c7ad29b55068c31cbd38fdf94946035",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[16b6a149d18bd2ac778ef8dd4f12b8915c7ad29b55068c31cbd38fdf94946035]"
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          "serializedValue": "0e201edd646b7c02c6ca8f19b3f1a19600d0753a63f946fda5a4be698c3aaccd8d42",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1edd646b7c02c6ca8f19b3f1a19600d0753a63f946fda5a4be698c3aaccd8d42"
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          "serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
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      "spendingProof": null,
      "outputBlockId": "0e3780f0a1e5d8e6235aa4f13ee72810c58a1c523938917ba6081db9cc5da27e",
      "outputTransactionId": "63764ab472d0c12207dd520c2e1e3482a9d1a292275bfb702805a45de1501bb3",
      "outputIndex": 1,
      "outputGlobalIndex": 28717634,
      "outputCreatedAt": 993594,
      "outputSettledAt": 993597,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = coll6.size\n      val i15 = coll13.size\n      val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n      val coll17 = box16.R6[Coll[Long]].get\n      val l18 = coll17(placeholder[Int](13))\n      val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n        Long\n      ](17)\n      val tuple20 = box5.tokens(placeholder[Int](18))\n      val tuple21 = SELF.tokens(placeholder[Int](19))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n              placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n            ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n              {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n            ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n              Coll[Byte]\n            ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n              if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n            ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n          )\n        )\n      )\n    )} else {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](27)\n            ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    }\n  )}\n}",
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      "assets": [
        {
          "tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test2",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120a52180b30eb3cf688bc32af79e5231e77324bb2aba95a7c2bd7ba31e004a9ab5",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[a52180b30eb3cf688bc32af79e5231e77324bb2aba95a7c2bd7ba31e004a9ab5]"
        },
        "R5": {
          "serializedValue": "1a012016b6a149d18bd2ac778ef8dd4f12b8915c7ad29b55068c31cbd38fdf94946035",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[16b6a149d18bd2ac778ef8dd4f12b8915c7ad29b55068c31cbd38fdf94946035]"
        },
        "R6": {
          "serializedValue": "0e20b59f2488aab30af1caef77d75acf3930c51d2bda1e21206e00b24fd862ca8163",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b59f2488aab30af1caef77d75acf3930c51d2bda1e21206e00b24fd862ca8163"
        },
        "R7": {
          "serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
        }
      }
    },
    {
      "boxId": "b7b1694e0cd86a17983b6c5b13307560c9df0c80919e5235b5ced02658458591",
      "value": 1100000,
      "index": 5,
      "spendingProof": null,
      "outputBlockId": "0e3780f0a1e5d8e6235aa4f13ee72810c58a1c523938917ba6081db9cc5da27e",
      "outputTransactionId": "98f99bea268a14be9307b03bb51d1889d37d88f86c2f57ec7a8595f7c5b79bc7",
      "outputIndex": 1,
      "outputGlobalIndex": 28717638,
      "outputCreatedAt": 993594,
      "outputSettledAt": 993597,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = coll6.size\n      val i15 = coll13.size\n      val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n      val coll17 = box16.R6[Coll[Long]].get\n      val l18 = coll17(placeholder[Int](13))\n      val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n        Long\n      ](17)\n      val tuple20 = box5.tokens(placeholder[Int](18))\n      val tuple21 = SELF.tokens(placeholder[Int](19))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n              placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n            ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n              {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n            ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n              Coll[Byte]\n            ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n              if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n            ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n          )\n        )\n      )\n    )} else {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](27)\n            ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    }\n  )}\n}",
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      "assets": [
        {
          "tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test2",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
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        "R4": {
          "serializedValue": "1a0120050f0548c00fc4a0302e2953de3f967cb18c7cb5a4c526b163bfe4670a926a2f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[050f0548c00fc4a0302e2953de3f967cb18c7cb5a4c526b163bfe4670a926a2f]"
        },
        "R5": {
          "serializedValue": "1a012016b6a149d18bd2ac778ef8dd4f12b8915c7ad29b55068c31cbd38fdf94946035",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[16b6a149d18bd2ac778ef8dd4f12b8915c7ad29b55068c31cbd38fdf94946035]"
        },
        "R6": {
          "serializedValue": "0e204399f45e75488c0c360f270671c319d6a539e458d017c3dc7f9b88ad2f248fa0",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4399f45e75488c0c360f270671c319d6a539e458d017c3dc7f9b88ad2f248fa0"
        },
        "R7": {
          "serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
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      "value": 1100000,
      "index": 6,
      "spendingProof": null,
      "outputBlockId": "0e3780f0a1e5d8e6235aa4f13ee72810c58a1c523938917ba6081db9cc5da27e",
      "outputTransactionId": "af06f39770fdf2256b7b55783c96cdeea74cdb2daa2aa9f841212b5f26593229",
      "outputIndex": 1,
      "outputGlobalIndex": 28717642,
      "outputCreatedAt": 993594,
      "outputSettledAt": 993597,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = coll6.size\n      val i15 = coll13.size\n      val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n      val coll17 = box16.R6[Coll[Long]].get\n      val l18 = coll17(placeholder[Int](13))\n      val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n        Long\n      ](17)\n      val tuple20 = box5.tokens(placeholder[Int](18))\n      val tuple21 = SELF.tokens(placeholder[Int](19))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n              placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n            ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n              {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n            ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n              Coll[Byte]\n            ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n              if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n            ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n          )\n        )\n      )\n    )} else {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](27)\n            ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    }\n  )}\n}",
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      "assets": [
        {
          "tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test2",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01200232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0]"
        },
        "R5": {
          "serializedValue": "1a012016b6a149d18bd2ac778ef8dd4f12b8915c7ad29b55068c31cbd38fdf94946035",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[16b6a149d18bd2ac778ef8dd4f12b8915c7ad29b55068c31cbd38fdf94946035]"
        },
        "R6": {
          "serializedValue": "0e2054a2ed5d76dce2fb5b002d7f57cbf61bd5dd08ff90dd9c6b4c5f8f0b2bea40e2",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "54a2ed5d76dce2fb5b002d7f57cbf61bd5dd08ff90dd9c6b4c5f8f0b2bea40e2"
        },
        "R7": {
          "serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
        }
      }
    },
    {
      "boxId": "7a2492e9d92148d1dafc3fde9ee82a7e7fc7a720a38e48783f64a3360dce34aa",
      "value": 1100000,
      "index": 7,
      "spendingProof": null,
      "outputBlockId": "0e3780f0a1e5d8e6235aa4f13ee72810c58a1c523938917ba6081db9cc5da27e",
      "outputTransactionId": "cf0a71f64a9a4d93155724b0e5660be392345e1c1974f18126244287cf05dc2a",
      "outputIndex": 1,
      "outputGlobalIndex": 28717646,
      "outputCreatedAt": 993594,
      "outputSettledAt": 993597,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = coll6.size\n      val i15 = coll13.size\n      val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n      val coll17 = box16.R6[Coll[Long]].get\n      val l18 = coll17(placeholder[Int](13))\n      val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n        Long\n      ](17)\n      val tuple20 = box5.tokens(placeholder[Int](18))\n      val tuple21 = SELF.tokens(placeholder[Int](19))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n              placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n            ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n              {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n            ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n              Coll[Byte]\n            ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n              if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n            ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n          )\n        )\n      )\n    )} else {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](27)\n            ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    }\n  )}\n}",
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      "assets": [
        {
          "tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test2",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01205c6be245bbbbb181a64b88d7e089967068a8f528e55592346f779cad5b5359cb",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[5c6be245bbbbb181a64b88d7e089967068a8f528e55592346f779cad5b5359cb]"
        },
        "R5": {
          "serializedValue": "1a012016b6a149d18bd2ac778ef8dd4f12b8915c7ad29b55068c31cbd38fdf94946035",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[16b6a149d18bd2ac778ef8dd4f12b8915c7ad29b55068c31cbd38fdf94946035]"
        },
        "R6": {
          "serializedValue": "0e20de2bb09b8acce43df284cc90665b1064b58dff9eb1ff4cdd13e8bd1cbdf89d54",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "de2bb09b8acce43df284cc90665b1064b58dff9eb1ff4cdd13e8bd1cbdf89d54"
        },
        "R7": {
          "serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
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    {
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      "value": 1100000,
      "index": 8,
      "spendingProof": null,
      "outputBlockId": "0e3780f0a1e5d8e6235aa4f13ee72810c58a1c523938917ba6081db9cc5da27e",
      "outputTransactionId": "efe6ede305e7cc678f91cfffdc88f2741e77919529f49e20e7967e539bf35982",
      "outputIndex": 1,
      "outputGlobalIndex": 28717650,
      "outputCreatedAt": 993594,
      "outputSettledAt": 993597,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-74,66,113,-52,11,-41,50,-54,117,124,-18,-16,91,-16,-109,33,17,82,-27,-115,-114,-5,116,127,-27,72,27,-78,112,47,-28,-49)\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: 0\n20: 0\n21: 1\n22: 0\n23: 0\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 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 = coll6.size\n      val i15 = coll13.size\n      val box16 = CONTEXT.dataInputs(placeholder[Int](12))\n      val coll17 = box16.R6[Coll[Long]].get\n      val l18 = coll17(placeholder[Int](13))\n      val l19 = coll17(placeholder[Int](14)) + coll17(placeholder[Int](15)) * box16.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n        Long\n      ](17)\n      val tuple20 = box5.tokens(placeholder[Int](18))\n      val tuple21 = SELF.tokens(placeholder[Int](19))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box11.value >= coll13.map({(box22: Box) => box22.value }).fold(\n              placeholder[Long](20), {(tuple22: (Long, Long)) => tuple22._1 + tuple22._2 }\n            ), coll13.filter({(box22: Box) => box22.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](21), coll6.exists(\n              {(coll22: Coll[Byte]) => Coll[Coll[Byte]](coll22) == coll4 }\n            ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, i14 == i15, blake2b256(coll10.append(coll4(placeholder[Int](22)))) == SELF.R6[\n              Coll[Byte]\n            ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n              if (bool8) { blake2b256(opt7.get(placeholder[Int](23))) } else { Coll[Byte](placeholder[Byte](24)) }\n            ), i15.toLong > if (l18 < l19) { l18 } else { l19 }, tuple20._1 == tuple21._1, tuple20._2 >= tuple21._2 * i14.toLong\n          )\n        )\n      )\n    )} else {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, box11.tokens(placeholder[Int](25))._1 == SELF.tokens(placeholder[Int](26))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](27)\n            ).tokens(placeholder[Int](28))._1 == coll4(placeholder[Int](29)), coll12 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    }\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT.V-test2",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7]"
        },
        "R5": {
          "serializedValue": "1a012016b6a149d18bd2ac778ef8dd4f12b8915c7ad29b55068c31cbd38fdf94946035",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[16b6a149d18bd2ac778ef8dd4f12b8915c7ad29b55068c31cbd38fdf94946035]"
        },
        "R6": {
          "serializedValue": "0e203d073b8ae154a891b5927777a3794a2cdd99fceebaba1c89d8bc23300c0e5ef5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "3d073b8ae154a891b5927777a3794a2cdd99fceebaba1c89d8bc23300c0e5ef5"
        },
        "R7": {
          "serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
        }
      }
    },
    {
      "boxId": "810ceb6968ba887b8de808a2797975e370b78b7374c9cbeb189d18133dba909a",
      "value": 1100000,
      "index": 9,
      "spendingProof": "4916db58c268d3b8cf58af6aff7bd6b2b8caef8bb832dbea415d4351831d45855eb5a6a51d75856f4491eb89e6d2b4124cf0f77a054075bf",
      "outputBlockId": "2313024693adc353ff19276dfe91456d1f625f66b0e07353b8facd13c023b630",
      "outputTransactionId": "9fa823110e39215d82c18368c008b577e09738ca4358c9ba56b1774582d42cf2",
      "outputIndex": 3,
      "outputGlobalIndex": 28716882,
      "outputCreatedAt": 993569,
      "outputSettledAt": 993571,
      "ergoTree": "0008cd0345e6e58ebe7bbb04bdc08a395cbd10715c331f3fa501e72e77035400e8f4edf8",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(45e6e5,41a809,...)))}",
      "address": "9gzbF2dxfRnUc3knifTdfshgYjfggjwUT5FtqamT5LsYdZoGhzs",
      "assets": [
        {
          "tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
          "index": 0,
          "amount": 2,
          "name": "RSN.V-test2",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "659f0e24e9caafdbabd21fc57284775bad0d022dd15a35a6a23fb0d57cafa948",
      "value": 1100000,
      "index": 10,
      "spendingProof": "b913d38dbf624524df531cb39a1f27ba0b9bacb9ca8dfb1b6b7426d68895912753c1387b041246c735d7ddeb66ebdb488f5efb5b523f7fa2",
      "outputBlockId": "ee1f3667fb4e02f40d61179a0144fd22bfa60c0c76e2617f6253a6b0de343784",
      "outputTransactionId": "100946995f0c7fe6158510fbdc4605cf51b5cad030a32d1fa87bd6a39bc18b17",
      "outputIndex": 3,
      "outputGlobalIndex": 28680340,
      "outputCreatedAt": 992681,
      "outputSettledAt": 992684,
      "ergoTree": "0008cd0345e6e58ebe7bbb04bdc08a395cbd10715c331f3fa501e72e77035400e8f4edf8",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(45e6e5,41a809,...)))}",
      "address": "9gzbF2dxfRnUc3knifTdfshgYjfggjwUT5FtqamT5LsYdZoGhzs",
      "assets": [
        {
          "tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
          "index": 0,
          "amount": 2,
          "name": "RSN.V-test2",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "c9a56cdfb97ca2c8d86ab7b5ddf4110df064c6e1e3d24ff24720c870f1d20fdd",
      "value": 1100000,
      "index": 0,
      "outputBlockId": "0be27064be55f2ab9c3fe78834793bad8520937c42e4f5fb672d5a3a1a982d47",
      "outputTransactionId": "fc629409d9e8411f663a54e51e2390c83b94b8bb1915f8b0c41716e3aefba598",
      "outputIndex": 0,
      "ergoTree": "1022040204000e206721f30af5d1063bf0fd7dd2842e55f419bc79f4f1acb664352f2a02cc3c501701010402040004020404040404000400040104020404040004000e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d704010402040204000400040004020400040004000400040204020400040004000400d802d601b2a4730000d6028cb2db6308720173010001959372027302d17303d811d603db6308a7d604b27203730400d6058c720402d606b2a5730500d607db63087206d608b27207730600d6098c720802d60ae4c6a70611d60bb27207730700d60c8c720b02d60db27203730800d60e8c720d02d60f9683050193c27206c2a793e4c672060611720a938cb27207730900018cb27203730a0001938c7208018c720401938c720b018c720d01d610e4c6a70511d611b17210d612e4c672060511d613b17212959172057209d805d614e5c672060704730bd6159972057209d616b2a5730c00d617b2a5730d00d61896830401720f939c7215b2720a730e0099720c720e938cb2db63087216730f0002721593cbc272167310959372147311d804d619e4c67206041ad61a9a72117312d61b9972137313d61cc5a7d196830901721893b17219721a93b472197314721be4c6a7041a93b27219721b00721c937213721a93b472127315721b721093b27212721b00721593e4c67216041a83010e721c938cb2db6308721773160001721cd803d619e4c6a7041ad61ab27219721400d61b9a72147317d196830801721893721a720293e4c67206041a721993b272127214009ab27210721400721593b4721273187214b472107319721493b47212721b7213b47210721b721393e4c67216041a83010e721a938cb2db63087217731a0001721ad804d614e4c6a7041ad615e4c672060704d6169972097205d617b27210721500d196830401720f9383010eb27214721500e4c67201041a939c7216b2720a731b0099720e720c959172177216968302019372179ab272127215007216937214e4c67206041ad803d618e4c67206041ad6199a7215731cd61a997211731d96830501937217721693b47214731e7215b47218731f721593b4721472197211b472187215721a93b4721073207215b472127321721593b4721072197211b472127215721a",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[63617264616e6f,050f0548c00fc4a0302e2953de3f967cb18c7cb5a4c526b163bfe4670a926a2f,0232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0,9ce8fd70828ac0c4feed41cdd2a9d7906a07f7e1241109229eb16e1ee7e06a2a,ea704cf8e1b8d400c1df0fb70b94440b465d19c3684a15d265041dc4192b76a7,5c6be245bbbbb181a64b88d7e089967068a8f528e55592346f779cad5b5359cb,794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7,72eadf8bef7d2597cda26de0fb673616b44a66a3adc7ab57c6cfcac6a68ef639,a52180b30eb3cf688bc32af79e5231e77324bb2aba95a7c2bd7ba31e004a9ab5,c82c3244ca29369cb806c64d3f627817bf2971b08adaea572a5b680acae27c6d]"
        },
        "R5": {
          "serializedValue": "110a00a09c01a09c01a09c01a09c01a09c01a09c01a09c01a09c01a09c01",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,10000,10000,10000,10000,10000,10000,10000,10000,10000]"
        },
        "R6": {
          "serializedValue": "1104c8018c010228",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[100,70,1,20]"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "1f186e598370b150610b700eca8adea741ca1bdd954c07b849963f4b0b7eaf9d",
      "transactionId": "7da82c64723d8615363cfcb4824fb37198706f6667c3f08532bfee498c76ec29",
      "blockId": "84ade0541ebd096523a1aaad816c91d5c339bc94c6f444f33e64ab54c819f1dc",
      "value": 9900000,
      "index": 0,
      "globalIndex": 28719342,
      "creationHeight": 993608,
      "settlementHeight": 993610,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(55,114,-70,2,110,-28,-123,117,-52,-48,-98,-100,-113,-3,-41,2,-75,47,14,43,-103,18,114,113,85,-4,-13,32,60,-80,80,-68)\n3: 1\n4: 0\n5: Coll(36,110,-75,-35,57,-95,29,-106,-46,-68,115,115,-77,22,104,53,-4,114,-103,-117,4,93,103,-22,122,-36,-24,66,-60,88,90,98)\n6: 7200\n7: Coll(43,-62,101,33,114,37,29,97,92,1,-33,-22,-90,105,-107,67,5,50,-27,-81,13,83,-74,3,-80,-113,-79,-84,54,121,4,-33)",
      "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": "21oSXpSmAC6qayCbrgqHPjU8LaNbB41kxUySN91Yjb22ygCMuG89Gu26CpS3coqGDw1e5BaE5i9ysiexzajpTaPnPeKvsPksDK1iLrjvNbNDpmYCn5nonSb23u7AKBm4rkaVgxWzTQU8pFQyAzmpT4zcyBTTEMV4DCvuNZx8AfBYbef6iXnmCRZJv6JZ4MDJnjGS6VdtfsZcnezDX6rBVz89ukeh24PJGHftbgWwt6yRmSeXGyUSEfwp6b5VYMaMumvLuSMRXK5Wz87qYu5wWwuBPvtStkegrKNojETYCtckLKR3sD4TRtjSumd9E3iDYgAmcQ4bXdhbDoMPhCB7E8zgHQXH5QhXv3u4ygErfkb3giWJbD",
      "assets": [
        {
          "tokenId": "8e5b02ba729ad364867619d2a8b9ff1438190c14979a12aa0a249e996194f074",
          "index": 0,
          "amount": 9,
          "name": "Cardano-RWT.V-test2",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9ce8fd70828ac0c4feed41cdd2a9d7906a07f7e1241109229eb16e1ee7e06a2a,ea704cf8e1b8d400c1df0fb70b94440b465d19c3684a15d265041dc4192b76a7,72eadf8bef7d2597cda26de0fb673616b44a66a3adc7ab57c6cfcac6a68ef639,c82c3244ca29369cb806c64d3f627817bf2971b08adaea572a5b680acae27c6d,a52180b30eb3cf688bc32af79e5231e77324bb2aba95a7c2bd7ba31e004a9ab5,050f0548c00fc4a0302e2953de3f967cb18c7cb5a4c526b163bfe4670a926a2f,0232ea40d3cf7ccf99dbad1538b758eeaa41a250bfc239e3c8b418db25fbbbd0,5c6be245bbbbb181a64b88d7e089967068a8f528e55592346f779cad5b5359cb,794524fcdf1dce9c86acd2b28ed2f3431a55afd7cbe765652e00ccf92a6bdcb7]"
        },
        "R5": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[64333564383434323739393665383831323434323530656439636539343466623735326331303130376536636630636336613636316632333037343731616535,63617264616e6f,6572676f,616464723171383372757734646c6c6665797a6334346e7a63683678773971776566393032686a6a777570706b366675717638793467636a6a7437306663796678663935796b6d34656371343875746464747037306e73373773397830306a7a73653238713468,39667a5554706855696b6271313542466f626b7574434879596a5651465946694d634b7169745a56457254414a6d6e78646478,0000000000c35000,000000000081b320,0000000000002328,6c6f76656c616365,33386362323330663638613238343336666233623733616534623932373632363637336534363230626337633934383936313738353637643433366534313662,62623130663234373161313337333937323631303662383331373135313732386631653130656531623832306663666364363265313033306564303630333335,000000000084f3cb]"
        },
        "R6": {
          "serializedValue": "0e2028c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "28c1a704adcaf19afcc667f92ae897699771f13fbbaf203fc936a12742f326d7"
        }
      },
      "spentTransactionId": "8e0dfd69f0fa0fd5950dab28ab3f4ace2750b040b755721850334c4872629878",
      "mainChain": true
    },
    {
      "boxId": "cdbd93dab576a1ef65071153af47db271248aec514d5c021ac37ea56ff4cedae",
      "transactionId": "7da82c64723d8615363cfcb4824fb37198706f6667c3f08532bfee498c76ec29",
      "blockId": "84ade0541ebd096523a1aaad816c91d5c339bc94c6f444f33e64ab54c819f1dc",
      "value": 1100000,
      "index": 1,
      "globalIndex": 28719343,
      "creationHeight": 993608,
      "settlementHeight": 993610,
      "ergoTree": "0008cd0345e6e58ebe7bbb04bdc08a395cbd10715c331f3fa501e72e77035400e8f4edf8",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(45e6e5,41a809,...)))}",
      "address": "9gzbF2dxfRnUc3knifTdfshgYjfggjwUT5FtqamT5LsYdZoGhzs",
      "assets": [
        {
          "tokenId": "844e3cf44b3181b4cacbccbf7596d341f41147d73daf4b565ecaac983aba2508",
          "index": 0,
          "amount": 4,
          "name": "RSN.V-test2",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "13c42edbd4ec6f36519c596e2f206d2e14b4d363d72fb46cc40d20d6b9abe802",
      "mainChain": true
    },
    {
      "boxId": "f0549610f220d34df532dca30781c7d96fedabf975f8e5d36594631091232ae7",
      "transactionId": "7da82c64723d8615363cfcb4824fb37198706f6667c3f08532bfee498c76ec29",
      "blockId": "84ade0541ebd096523a1aaad816c91d5c339bc94c6f444f33e64ab54c819f1dc",
      "value": 1100000,
      "index": 2,
      "globalIndex": 28719344,
      "creationHeight": 993608,
      "settlementHeight": 993610,
      "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": "4064a306ab19fa9363ec6cc760fb18f09925cd8913a71b04aefeffe6f2ef3204",
      "mainChain": true
    }
  ],
  "size": 1766,
  "isUnconfirmed": false
}