Ad
Inputs (18)
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
1.36 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Outputs (5)
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
1.36 ERG
Tokens:
Loading assets...
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Status: Confirmed
Size: 2.14 KB
Received time: 3/21/2023 12:02:40 AM
Included in blocks: 964,742
Confirmations: 793,722
Total coins transferred: 1.37 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000503 ERG
Raw Transaction Data
{
  "id": "cf7f0e6d36201ec0f81d9cfa8a1d9d12fa64c13723d4bb2e4941e861864c1d07",
  "blockId": "2e139790f719d56fb9f6f90ee4a780271901344e7fec5b83902e0828abeece58",
  "inclusionHeight": 964742,
  "timestamp": 1679356960793,
  "index": 6,
  "globalIndex": 4937430,
  "numConfirmations": 793722,
  "inputs": [
    {
      "boxId": "aee74eae7d3f39f0152b4596f8fd3905e72f3282e214a55301f9d2c1d9d510b5",
      "value": 300000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "7d7fb4ede98384ef42e806ed0740ee8623cf8a802373533b9616d9f357784a90",
      "outputTransactionId": "5944792398fb28f2fc6a5e7bf24d7c63c4b2c0e4ec9ed0bac45e1ffd5c3087b3",
      "outputIndex": 7,
      "outputGlobalIndex": 27526709,
      "outputCreatedAt": 961996,
      "outputSettledAt": 962502,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 100,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
    {
      "boxId": "f16e7e64ad26a8cca28317df1f0c3b859383e9d571de1636c4b89aeafcb9b6b6",
      "value": 1360900000,
      "index": 1,
      "spendingProof": "93d4de0f7f21c60972b3eb3f69a193a397d986d741a5950c08699a79f75a3bf0eeb055b2ed7e12704191670fb93e6243b6dba770c62aadf5",
      "outputBlockId": "67dcff30aab14d3982835d62f26eb482d907fb12ff488cc946a690b13835fe62",
      "outputTransactionId": "7bd00f92b599eb114a28a64b92dedd656bae0c489b76d4fe23d042e685905bd3",
      "outputIndex": 2,
      "outputGlobalIndex": 27620163,
      "outputCreatedAt": 964679,
      "outputSettledAt": 964690,
      "ergoTree": "0008cd03c1ae4ce997f738d78f46873c1a1d5140e4fe43e007cbff34e05c3afdb0103b71",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c1ae4c,b5c469,...)))}",
      "address": "9hw71UpUVz2998ziSN7LWzSE5ddjaVivZCJEVvPVxmEvT2EkTrX",
      "assets": [
        {
          "tokenId": "005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "d27e11d7a97712e190140c79389ec6483c0b3e0e17386809b21c983e3843c983",
      "value": 300000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "5cf8f3143a277fd8c55ae52d561b2c9cad01cf11997d94c1f853733c266a1733",
      "outputTransactionId": "a745a5cf486cbd3b03b9d493f87a428602c92221b884d72c83d00494b440b2cd",
      "outputIndex": 4,
      "outputGlobalIndex": 27527221,
      "outputCreatedAt": 962497,
      "outputSettledAt": 962505,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 100,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
    {
      "boxId": "652050ff17f0ec761afef31c9bb585ccbcda3ee64a040b3f91e4487140959ac2",
      "value": 300000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "e566c8bdd23cc4324514f2c69b339be8b0247334044247ba8cd0ddf3232c822e",
      "outputTransactionId": "552cb94663be1d278f57be8dc13282674ada6e774b443ce83b762c35b44db165",
      "outputIndex": 8,
      "outputGlobalIndex": 27529959,
      "outputCreatedAt": 962582,
      "outputSettledAt": 962584,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
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          "index": 0,
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          "name": "Cardano-RWT-V.beta",
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          "name": "RSN-V.beta",
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      "additionalRegisters": {
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          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
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    },
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      "value": 300000,
      "index": 4,
      "spendingProof": null,
      "outputBlockId": "6df889132170a181a0c799d45716c413c24a0285591b01d58cf440fbafc46530",
      "outputTransactionId": "8aa75524ff3a640e08e398ab46af549db9f2e2887c1345d5fbd2af093c1e4304",
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      "outputGlobalIndex": 27531388,
      "outputCreatedAt": 962624,
      "outputSettledAt": 962626,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
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      "assets": [
        {
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          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
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        {
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          "amount": 100,
          "name": "RSN-V.beta",
          "decimals": 0,
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      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
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      "boxId": "f882f1adbb632401bd0aa92a6ab0187a1259d5c8de1e58448acc4f2a82856453",
      "value": 300000,
      "index": 5,
      "spendingProof": null,
      "outputBlockId": "8aaec29bdac8b46fba7c299db2f44de8fb4b127933b2ea3aab48b6012b36c1a5",
      "outputTransactionId": "a0b8eabdae30d8f3721f0e34479cdef0bd12b982bdc9f13f6b16e2c33610f7ad",
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      "outputGlobalIndex": 27532153,
      "outputCreatedAt": 962648,
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      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
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      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
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          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
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        {
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          "name": "RSN-V.beta",
          "decimals": 0,
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      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
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      "boxId": "741f3d6bd875ff8676f5dc517293e3736141e722a7324d603be9740d945a8aa7",
      "value": 300000,
      "index": 6,
      "spendingProof": null,
      "outputBlockId": "6876faa65ded665a80819d493275779590a1dff2395442463e60657d2a41899f",
      "outputTransactionId": "0448027829762a7bcee89407188ae89dc6c6a1e9197593c36ca22e2be1d634de",
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      "outputGlobalIndex": 27532567,
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      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
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      "assets": [
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          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
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          "index": 1,
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          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
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      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 100,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
    {
      "boxId": "f1aafd99e7f86e4ca0e83ff6b25cf391fd3ecae004f7d06757eb4c4d6172382b",
      "value": 300000,
      "index": 8,
      "spendingProof": null,
      "outputBlockId": "595ab296f27aec1d13f3f2a7cace59b90d8ae862e601fc75e3a6cd0f541fdd53",
      "outputTransactionId": "374e85fb7b098c18baa926de5bee1ea26abc61a7b8b6642bbe3a3bf2762beb60",
      "outputIndex": 3,
      "outputGlobalIndex": 27533438,
      "outputCreatedAt": 962681,
      "outputSettledAt": 962690,
      "ergoTree": "10130400040004040400040204000e203ac8a90d0aa8c5c50e99dd2588a990fd37b5d3aee70e32d56241f41ed49e9f030404040004000400010104020400040004000e203de37506fc685d71aae6c896771f3c81f91cb27cd30e4f7d12076bb2a5ba6a3805020101d807d601b2a5730000d6028cb2db6308a773010001d603aeb5b4a57302b1a5d901036391b1db630872037303d9010363aedb63087203d901054d0e938c7205017202d604e4c6a7041ad605b2a5730400d606db63087205d607ae7206d901074d0e938c720701720295938cb2db63087201730500017306d196830301ef7203938cb2db6308b2a473070073080001b2720473090095720796830201938cb27206730a0001720293c27205c2a7730bd801d608c2a7d196830501ef720393c27201720893e4c67201041a7204938cb2db6308b2a4730c00730d0001b27204730e00957207d801d609b27206730f0096830701938c720901720293cbc272057310e6c67205051ae6c67205060e93e4c67205070ecb720893e4c67205041a7204938c72090273117312",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 100,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
    {
      "boxId": "092f9b8060054253f5e4ef910490a8bc7274cd6bc507056b43946405770dabd0",
      "value": 300000,
      "index": 9,
      "spendingProof": null,
      "outputBlockId": "bfa48f39d347f24562928ed8d8b5b32967888dc143aa6e1c9f3fa7c53b140d18",
      "outputTransactionId": "10a79e37f53c5130015d2361315e32e3fdddaa14d2bf2ede94a6c4c1beaf5b67",
      "outputIndex": 7,
      "outputGlobalIndex": 27533550,
      "outputCreatedAt": 962690,
      "outputSettledAt": 962694,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 100,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
    {
      "boxId": "12bed847488310cf84ab93d740bd0e9369ffd780dddd6883379afcdaadb502f4",
      "value": 300000,
      "index": 10,
      "spendingProof": null,
      "outputBlockId": "f66562a75a8e818d84ba2abbfe7756ff1c3139ce50fea17ac53a01471b855806",
      "outputTransactionId": "08ad987f3cdfcf54770791c3e7a9e7afbfa29657d3183f4f4008c49bb4d559b0",
      "outputIndex": 4,
      "outputGlobalIndex": 27533766,
      "outputCreatedAt": 962698,
      "outputSettledAt": 962703,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 100,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
    {
      "boxId": "ab0082d291c9f99c2faade2ab324367d5ec7f4c5a089ba450f53829b422eb72c",
      "value": 300000,
      "index": 11,
      "spendingProof": null,
      "outputBlockId": "8b7d268ca075b88533288201a80030dd691368cbc43881c2daa9c2400a2cf683",
      "outputTransactionId": "f3e760962511420acc0431e18a747205dbe08cd083370dfbb92592b7053c606d",
      "outputIndex": 4,
      "outputGlobalIndex": 27534357,
      "outputCreatedAt": 962706,
      "outputSettledAt": 962712,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 100,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
    {
      "boxId": "a3534c3e6d5c0da4842d7f457ff2c5681020d2d3b378bddf1ba133da00f34a4f",
      "value": 300000,
      "index": 12,
      "spendingProof": null,
      "outputBlockId": "151ad4ebab7b31939e59b1bdae37f7658ed651c4dcec1c3f31c8d3d63ac4b773",
      "outputTransactionId": "210c29447bc26b1c68ff2c0cf92232266abf2f39b7c4a9b2fe69ad367769402a",
      "outputIndex": 8,
      "outputGlobalIndex": 27534605,
      "outputCreatedAt": 962716,
      "outputSettledAt": 962724,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 100,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
    {
      "boxId": "10a2aaacd64d0b554e22938e7084e27157c982ac011bb90366e8006fdabab53b",
      "value": 300000,
      "index": 13,
      "spendingProof": null,
      "outputBlockId": "48b69eb02b60d5bd4c59f5213ec4cac99da441dc0a673153616a8e0ad61faf8c",
      "outputTransactionId": "04dd0849f12a3762412948424669f510b313e2b86b322350ad3e1d1b4c4bff6e",
      "outputIndex": 4,
      "outputGlobalIndex": 27534683,
      "outputCreatedAt": 962724,
      "outputSettledAt": 962727,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 100,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
    {
      "boxId": "18d8bd13e30ce418081c32285fde528432fad19ecfec4ff6f4063f03ecb0cbff",
      "value": 1100000,
      "index": 14,
      "spendingProof": null,
      "outputBlockId": "67dcff30aab14d3982835d62f26eb482d907fb12ff488cc946a690b13835fe62",
      "outputTransactionId": "7bd00f92b599eb114a28a64b92dedd656bae0c489b76d4fe23d042e685905bd3",
      "outputIndex": 0,
      "outputGlobalIndex": 27620161,
      "outputCreatedAt": 964679,
      "outputSettledAt": 964690,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 617,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        },
        "R5": {
          "serializedValue": "0e0100",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "00"
        }
      }
    },
    {
      "boxId": "a3784f1ef2fc2e831e8145029e7905f7af0a60306d876a77ab2ef1d8badfdd60",
      "value": 300000,
      "index": 15,
      "spendingProof": null,
      "outputBlockId": "d2b3533048dc59da363a4bbbdde25ebb697f1f207d8ce20d695d491292535d3a",
      "outputTransactionId": "8d2c3e95c0a1ad0987aed89216c2ab06e054e034f9d25350c95fcc928addfe03",
      "outputIndex": 7,
      "outputGlobalIndex": 27620812,
      "outputCreatedAt": 964715,
      "outputSettledAt": 964719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 100,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
    {
      "boxId": "34ef134ffd9def5a3c15499efe490f08d7408269b6a5713b869cd41d32f829f2",
      "value": 300000,
      "index": 16,
      "spendingProof": null,
      "outputBlockId": "efca04c0cb225b0feeba384338827304f49589df8cc18ccd676917a6af33a32e",
      "outputTransactionId": "6b91b87d5d55d699d5ff50f51262955ddd55fd36c3c9989b722690ea731d2531",
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      "outputGlobalIndex": 27621108,
      "outputCreatedAt": 964719,
      "outputSettledAt": 964723,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 100,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    },
    {
      "boxId": "a9455aad5e0afcfb27e1cbef377cdc096ac04570a7a791a453cf281ef96a66ce",
      "value": 300000,
      "index": 17,
      "spendingProof": null,
      "outputBlockId": "287bf4daae20748f1c1651f1d543c1b28cd651e9865a6806ddf28acef77f5969",
      "outputTransactionId": "3f0a056c9cd371b60c1f18bfcd62fb370be98f4a85bdfee4d3bb2ceb92dc3985",
      "outputIndex": 4,
      "outputGlobalIndex": 27621257,
      "outputCreatedAt": 964724,
      "outputSettledAt": 964728,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 1,
          "amount": 100,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "fb37f2e1f1905ff0b6d966418007643b88998405ad75a7ebbaff0d4458c80fa6",
      "transactionId": "cf7f0e6d36201ec0f81d9cfa8a1d9d12fa64c13723d4bb2e4941e861864c1d07",
      "blockId": "2e139790f719d56fb9f6f90ee4a780271901344e7fec5b83902e0828abeece58",
      "value": 1100000,
      "index": 0,
      "globalIndex": 27621667,
      "creationHeight": 964739,
      "settlementHeight": 964742,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(58,-56,-87,13,10,-88,-59,-59,14,-103,-35,37,-120,-87,-112,-3,55,-75,-45,-82,-25,14,50,-43,98,65,-12,30,-44,-98,-97,3)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(61,-29,117,6,-4,104,93,113,-86,-26,-56,-106,119,31,60,-127,-7,28,-78,124,-45,14,79,125,18,7,107,-78,-91,-70,106,56)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 632,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        },
        "R5": {
          "serializedValue": "0e0100",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "00"
        }
      },
      "spentTransactionId": "343ff1dbdb735b2eaba5efaf8ea0fb73675668d895fe881d259ba1c28f3b75f7",
      "mainChain": true
    },
    {
      "boxId": "8ffe0551d220b4dcc1b947363149e7bede671c6bcc6678e4c6e0169b480c004a",
      "transactionId": "cf7f0e6d36201ec0f81d9cfa8a1d9d12fa64c13723d4bb2e4941e861864c1d07",
      "blockId": "2e139790f719d56fb9f6f90ee4a780271901344e7fec5b83902e0828abeece58",
      "value": 1100000,
      "index": 1,
      "globalIndex": 27621668,
      "creationHeight": 964739,
      "settlementHeight": 964742,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-6,-64,-122,-29,-103,68,59,81,-106,-10,108,82,-106,-18,-75,-119,-52,-118,58,-101,1,-121,-85,42,77,-29,-118,-71,-77,-30,-13,-67)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val opt7 = box5.R5[Coll[Coll[Byte]]]\n  val bool8 = opt7.isDefined\n  val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n    Coll[Byte](placeholder[Byte](4))\n  }\n  val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n  val box11 = OUTPUTS(placeholder[Int](6))\n  if (bool3) {(\n    val box12 = OUTPUTS.filter({(box12: Box) =>\n        val opt14 = box12.R4[Coll[Coll[Byte]]]\n        if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n      })(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n            placeholder[Int](10)\n          )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n            Coll[Byte]\n          ].get\n        )\n      )\n    )\n  )} else {(\n    val coll12 = blake2b256(box11.propositionBytes)\n    if (coll12 == coll2) {(\n      val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n      val i14 = coll13.size\n      val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n      val coll16 = box15.R6[Coll[Long]].get\n      val l17 = coll16(placeholder[Int](13))\n      val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n        Long\n      ](17)\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n              placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n            ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n              {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n            ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n              Coll[Byte]\n            ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n              if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n            ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n          )\n        )\n      )\n    )} else {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](25)\n            ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    }\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1d9a45e047b45a4a4c565ac49e70b5e2f03f625975cbe41912833e9a547d060d",
          "index": 0,
          "amount": 1,
          "name": "Cardano-RWT-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168]"
        },
        "R5": {
          "serializedValue": "1a012012d7b8389a3dc00aac03cea6a4c73cc3ec021b779e598e4fe2c0f6f5d691782d",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[12d7b8389a3dc00aac03cea6a4c73cc3ec021b779e598e4fe2c0f6f5d691782d]"
        },
        "R6": {
          "serializedValue": "0e205a4196a3a47b092f0600b100ca3a6f6d9f389c27260b4db6d1af1ef331fab218",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5a4196a3a47b092f0600b100ca3a6f6d9f389c27260b4db6d1af1ef331fab218"
        },
        "R7": {
          "serializedValue": "0e20203ace1f2606730afc938bf9a38d991bae1f99bc84a7ef66e850d66005a9d921",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "203ace1f2606730afc938bf9a38d991bae1f99bc84a7ef66e850d66005a9d921"
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "5a6018a778091cea05da377a3ab4ab963148a95359abbeccbfaabd08b9d08f32",
      "transactionId": "cf7f0e6d36201ec0f81d9cfa8a1d9d12fa64c13723d4bb2e4941e861864c1d07",
      "blockId": "2e139790f719d56fb9f6f90ee4a780271901344e7fec5b83902e0828abeece58",
      "value": 1362400000,
      "index": 2,
      "globalIndex": 27621669,
      "creationHeight": 964739,
      "settlementHeight": 964742,
      "ergoTree": "0008cd03c1ae4ce997f738d78f46873c1a1d5140e4fe43e007cbff34e05c3afdb0103b71",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c1ae4c,b5c469,...)))}",
      "address": "9hw71UpUVz2998ziSN7LWzSE5ddjaVivZCJEVvPVxmEvT2EkTrX",
      "assets": [
        {
          "tokenId": "005740bfc12e8af70d5230c872be782a3201312108579c7461780ef590268168",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "0565883c1b62b328f131d8b95794f96bc58ef6a3bfc16de087273c4ae9b823f1",
      "mainChain": true
    },
    {
      "boxId": "9526770eab1d52579d008c35302c4fd777cfc4a51561aa77eff182a275dea5c3",
      "transactionId": "cf7f0e6d36201ec0f81d9cfa8a1d9d12fa64c13723d4bb2e4941e861864c1d07",
      "blockId": "2e139790f719d56fb9f6f90ee4a780271901344e7fec5b83902e0828abeece58",
      "value": 1100000,
      "index": 3,
      "globalIndex": 27621670,
      "creationHeight": 964739,
      "settlementHeight": 964742,
      "ergoTree": "0008cd03c1ae4ce997f738d78f46873c1a1d5140e4fe43e007cbff34e05c3afdb0103b71",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(c1ae4c,b5c469,...)))}",
      "address": "9hw71UpUVz2998ziSN7LWzSE5ddjaVivZCJEVvPVxmEvT2EkTrX",
      "assets": [
        {
          "tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
          "index": 0,
          "amount": 1600,
          "name": "RSN-V.beta",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "3a52041c585882293570e0e099ebde0cb8076c16e7e4a376b64342ba1af44f15",
      "transactionId": "cf7f0e6d36201ec0f81d9cfa8a1d9d12fa64c13723d4bb2e4941e861864c1d07",
      "blockId": "2e139790f719d56fb9f6f90ee4a780271901344e7fec5b83902e0828abeece58",
      "value": 1100000,
      "index": 4,
      "globalIndex": 27621671,
      "creationHeight": 964739,
      "settlementHeight": 964742,
      "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": "107fc31d777ac206131c88cd23d3ccebe83b7a32aed863692b5e981b2aa78d7d",
      "mainChain": true
    }
  ],
  "size": 2189,
  "isUnconfirmed": false
}