Ad
Inputs (4)
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
42,000.00
Output transaction:
Settlement height:
Value:
54.3 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Outputs (5)
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
45,000.00
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent in transaction:
Settlement height:
Value:
54.3 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
2
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 1.91 KB
Received time: 2/28/2024 11:49:03 AM
Included in blocks: 1,209,951
Confirmations: 556,170
Total coins transferred: 54.31 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001025 ERG
Raw Transaction Data
{
  "id": "928cb680716ffba52977775c8cbcdc1897ec6ca0731b55221e5f04084f0c405e",
  "blockId": "5b00327ff1145cfbfc9affc7fd385d818012be0718082a1701baea7e2babd33e",
  "inclusionHeight": 1209951,
  "timestamp": 1709120943053,
  "index": 34,
  "globalIndex": 6711048,
  "numConfirmations": 556170,
  "inputs": [
    {
      "boxId": "ae01d0d80cd32bd0e9f4d882b315f0a7a3f5f8759058c87dda02c1c7f57568eb",
      "value": 2000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "aca80fc8cd1ef1cf1d99cbf1cd6ee188379e8b61b1024e026528495902896062",
      "outputTransactionId": "d2e3f9c487773abc19df8e896576041fd156f595889a9a1f7034268af89ab6a8",
      "outputIndex": 0,
      "outputGlobalIndex": 37292574,
      "outputCreatedAt": 1209862,
      "outputSettledAt": 1209866,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val tuple2 = box1.tokens(placeholder[Int](1))\n  val coll3 = tuple2._1\n  val coll4 = SELF.tokens(placeholder[Int](2))._1\n  val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n    {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n  )\n  val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n  val box7 = OUTPUTS(placeholder[Int](5))\n  val coll8 = box7.tokens\n  if (coll3 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n            {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n          )) {\n            allOf(\n              Coll[Boolean](\n                SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n                  placeholder[Int](11)\n                )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n              )\n            )\n          } else { placeholder[Boolean](12) }\n        )\n      )\n    )\n  } else {(\n    val tuple9 = coll8(placeholder[Int](13))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n              val coll13 = box11.tokens\n              (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n            }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 42000001,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01203d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c]"
        },
        "R5": {
          "serializedValue": "1a010100",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[00]"
        }
      }
    },
    {
      "boxId": "53c2d8f5b6c1862be5ea9574fb89eb1373009ee1608b9c4810840f568a6b57ed",
      "value": 54301313128,
      "index": 1,
      "spendingProof": "af01cf8bd93fd537337b43cf98bba41b83ae3ca9169f11eb5ae7bd9b8b0ded223348c21d94b83f7a0f055a1812510ff7cda086eea0955e5f",
      "outputBlockId": "aca80fc8cd1ef1cf1d99cbf1cd6ee188379e8b61b1024e026528495902896062",
      "outputTransactionId": "d2e3f9c487773abc19df8e896576041fd156f595889a9a1f7034268af89ab6a8",
      "outputIndex": 2,
      "outputGlobalIndex": 37292576,
      "outputCreatedAt": 1209862,
      "outputSettledAt": 1209866,
      "ergoTree": "0008cd039b7b951dfeed6f7f00ce16b0285a8dcfc059f685b5ae0f6b5a004e5b86c4ef60",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9b7b95,60ce25,...)))}",
      "address": "9heHHjymekM6RRBknZQxXMYoLDNQumP1iAoog3wkP99mF7jHS4Q",
      "assets": [
        {
          "tokenId": "3d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c",
          "index": 0,
          "amount": 1,
          "name": "WID-F7jHS4Q",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "5d9694640ec59c27615e306b1fb10c1d38309b1a2e5b114bd7a1cb33d1338a05",
      "value": 2000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "889c026d33238ddce8fcace840619e0546ea2aa4cab58c842e8ad461cc1fe278",
      "outputTransactionId": "9a3421027b5cd8160992a78d7bcb807356e23833a01281d08dc9c209f8aaca9f",
      "outputIndex": 63,
      "outputGlobalIndex": 37293055,
      "outputCreatedAt": 1209873,
      "outputSettledAt": 1209879,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val tuple2 = box1.tokens(placeholder[Int](1))\n  val coll3 = tuple2._1\n  val coll4 = SELF.tokens(placeholder[Int](2))._1\n  val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n    {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n  )\n  val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n  val box7 = OUTPUTS(placeholder[Int](5))\n  val coll8 = box7.tokens\n  if (coll3 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n            {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n          )) {\n            allOf(\n              Coll[Boolean](\n                SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n                  placeholder[Int](11)\n                )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n              )\n            )\n          } else { placeholder[Boolean](12) }\n        )\n      )\n    )\n  } else {(\n    val tuple9 = coll8(placeholder[Int](13))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n              val coll13 = box11.tokens\n              (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n            }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n  )}\n}",
      "address": "A9fBWPAmCk62kmZS6amXrSsebAaLNC5GtYCTtAES6EZVJsTD8Eh55Uj2yrA1JRVTfgxC2WhtaySsfVqSV75ynUGfefCqjXyGfJQhTMZUrA6tmDroj1erQ5tptzJrS9vX2MQ2t6XmZ4uQcmwzn9yFHsVMoWagJ6aHigL8ydhr35BB1nwjHfRFZWjG7QuHKx4yvsMSkd4Mh99NXXZaHKeoBS1Mt3bXqW47ZNYfWW2iffq1yDyHCkMzhKUS6WnWxP25kV9oW4ZcDersqDdn3CHv89ZECX7w1z6tm4o4tg5DYsdKnJe86aJNbRvLuKK1CTffgMuxzMkbNT9NNWoyxTcdAkMq4NxGmFZ92t7PBejyZFC4jRApWp7Emyk8pMW2YemKuKYgvNPZZApWEKeYzZVAi6WYb4aHnfP9WWK8Qwofge7qieVFY1nWdxR16ErJGzHAXGAKmboL14YqHeJaA4YCeYDJA58Qx4G1q1pAn6752uZqeJzu4DSpygpUwQ1yNZAQkCLBxqsLygmGY3EY61cahcnqXwDaARNKo3ymLztWmWcY1VPeMAD6CfrBPfNsNEX7kwVKupVrBhcSfaAfiMnpSviYdTQiTRrcgSbQTomWDNzFHCJ2yLpMAFHzNgutasySqx88qwkjgfNv7JePNu738pvvPTGJ7XnANf",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 1094,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01203d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c]"
        }
      }
    },
    {
      "boxId": "ecf46be65f86d9395005d31e4af20351705f4d0078b199c66b226f6a51ff74b4",
      "value": 2000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "889c026d33238ddce8fcace840619e0546ea2aa4cab58c842e8ad461cc1fe278",
      "outputTransactionId": "56104e4ec79ae85d2e2ab392bc20d3f235f0299ff4000b9aa502b70dc401992a",
      "outputIndex": 68,
      "outputGlobalIndex": 37293137,
      "outputCreatedAt": 1209873,
      "outputSettledAt": 1209879,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val tuple2 = box1.tokens(placeholder[Int](1))\n  val coll3 = tuple2._1\n  val coll4 = SELF.tokens(placeholder[Int](2))._1\n  val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n    {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n  )\n  val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n  val box7 = OUTPUTS(placeholder[Int](5))\n  val coll8 = box7.tokens\n  if (coll3 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n            {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n          )) {\n            allOf(\n              Coll[Boolean](\n                SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n                  placeholder[Int](11)\n                )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n              )\n            )\n          } else { placeholder[Boolean](12) }\n        )\n      )\n    )\n  } else {(\n    val tuple9 = coll8(placeholder[Int](13))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n              val coll13 = box11.tokens\n              (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n            }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 749,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01203d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c]"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "3dac3e3cd0989a4d0e31752089d5caa652acd7b3aaab235280aafed07a6e6590",
      "transactionId": "928cb680716ffba52977775c8cbcdc1897ec6ca0731b55221e5f04084f0c405e",
      "blockId": "5b00327ff1145cfbfc9affc7fd385d818012be0718082a1701baea7e2babd33e",
      "value": 2000000,
      "index": 0,
      "globalIndex": 37297085,
      "creationHeight": 1209945,
      "settlementHeight": 1209951,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(58,-14,-45,111,101,-38,34,-89,-38,85,91,63,-17,-121,124,-81,38,62,-55,-50,-86,45,100,50,56,5,-78,61,-83,82,-116,102)\n19: 2\n20: 0\n21: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val tuple2 = box1.tokens(placeholder[Int](1))\n  val coll3 = tuple2._1\n  val coll4 = SELF.tokens(placeholder[Int](2))._1\n  val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n    {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n  )\n  val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n  val box7 = OUTPUTS(placeholder[Int](5))\n  val coll8 = box7.tokens\n  if (coll3 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n            {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n          )) {\n            allOf(\n              Coll[Boolean](\n                SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n                  placeholder[Int](11)\n                )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n              )\n            )\n          } else { placeholder[Boolean](12) }\n        )\n      )\n    )\n  } else {(\n    val tuple9 = coll8(placeholder[Int](13))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n              val coll13 = box11.tokens\n              (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n            }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 45000001,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01203d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c]"
        },
        "R5": {
          "serializedValue": "1a010100",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[00]"
        }
      },
      "spentTransactionId": "d4c04806dc2090b9896c616bbd11923adafcc43a398c62d7a29be7f36786b215",
      "mainChain": true
    },
    {
      "boxId": "aa0020938e39c34f627da500ecde68c62ecb33cc09e2961437311364d95ed76c",
      "transactionId": "928cb680716ffba52977775c8cbcdc1897ec6ca0731b55221e5f04084f0c405e",
      "blockId": "5b00327ff1145cfbfc9affc7fd385d818012be0718082a1701baea7e2babd33e",
      "value": 2000000,
      "index": 1,
      "globalIndex": 37297086,
      "creationHeight": 1209945,
      "settlementHeight": 1209951,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 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 coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01203d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c]"
        },
        "R5": {
          "serializedValue": "1a0120a43764a528b6537873934d7744aa0f0c531da328419b90204d52f810e2374dc3",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[a43764a528b6537873934d7744aa0f0c531da328419b90204d52f810e2374dc3]"
        },
        "R6": {
          "serializedValue": "0e204e1756dd8d9df76ec4bd0acf034f1043e0aa6b032b1d77294bc0574deec7c04e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4e1756dd8d9df76ec4bd0acf034f1043e0aa6b032b1d77294bc0574deec7c04e"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      },
      "spentTransactionId": "209b89f11b5ba771e86d2fba098a3ed671a33bba284bf6908012a95c2b1710b2",
      "mainChain": true
    },
    {
      "boxId": "e29c46d3934f61673b9f98d76e59887cb3640c6255c586aaa6ee1cda2609c6e0",
      "transactionId": "928cb680716ffba52977775c8cbcdc1897ec6ca0731b55221e5f04084f0c405e",
      "blockId": "5b00327ff1145cfbfc9affc7fd385d818012be0718082a1701baea7e2babd33e",
      "value": 54299313128,
      "index": 2,
      "globalIndex": 37297087,
      "creationHeight": 1209945,
      "settlementHeight": 1209951,
      "ergoTree": "0008cd039b7b951dfeed6f7f00ce16b0285a8dcfc059f685b5ae0f6b5a004e5b86c4ef60",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9b7b95,60ce25,...)))}",
      "address": "9heHHjymekM6RRBknZQxXMYoLDNQumP1iAoog3wkP99mF7jHS4Q",
      "assets": [
        {
          "tokenId": "3d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c",
          "index": 0,
          "amount": 1,
          "name": "WID-F7jHS4Q",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "d4c04806dc2090b9896c616bbd11923adafcc43a398c62d7a29be7f36786b215",
      "mainChain": true
    },
    {
      "boxId": "a1c202b53b46f5c87f78267776e26e6b8ebb2a0428b69be2c3627ed005a683ed",
      "transactionId": "928cb680716ffba52977775c8cbcdc1897ec6ca0731b55221e5f04084f0c405e",
      "blockId": "5b00327ff1145cfbfc9affc7fd385d818012be0718082a1701baea7e2babd33e",
      "value": 2000000,
      "index": 3,
      "globalIndex": 37297088,
      "creationHeight": 1209945,
      "settlementHeight": 1209951,
      "ergoTree": "0008cd039b7b951dfeed6f7f00ce16b0285a8dcfc059f685b5ae0f6b5a004e5b86c4ef60",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9b7b95,60ce25,...)))}",
      "address": "9heHHjymekM6RRBknZQxXMYoLDNQumP1iAoog3wkP99mF7jHS4Q",
      "assets": [
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 0,
          "amount": 1843,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "fcc914a647b4b84a43cb0c270e11b2f4693cbd1f53e5c6df05e705c18795b67b",
      "mainChain": true
    },
    {
      "boxId": "4701aa49c701e3b367c6c391067402cb692515ded2d559df646f3195123c02a4",
      "transactionId": "928cb680716ffba52977775c8cbcdc1897ec6ca0731b55221e5f04084f0c405e",
      "blockId": "5b00327ff1145cfbfc9affc7fd385d818012be0718082a1701baea7e2babd33e",
      "value": 2000000,
      "index": 4,
      "globalIndex": 37297089,
      "creationHeight": 1209945,
      "settlementHeight": 1209951,
      "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": "95b0615a16353ac43f471c8ab7989ee40e4bf0a1d9e535186684d07e25846b15",
      "mainChain": true
    }
  ],
  "size": 1952,
  "isUnconfirmed": false
}