Ad
Inputs (3)
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
15,062.66
Output transaction:
Settlement height:
Value:
3.95 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Outputs (4)
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
15,062.66
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent in transaction:
Settlement height:
Value:
3.95 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 1.79 KB
Received time: 1/4/2024 09:03:28 PM
Included in blocks: 1,170,990
Confirmations: 594,486
Total coins transferred: 3.96 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001088 ERG
Raw Transaction Data
{
  "id": "70a9736090e57a57be62abd7b85604ccb16fa48236150ca0005aaa7d6de367be",
  "blockId": "275e3b70822bda3312a9d2b313bec607b3e35179968fc7376962d281c88b1ebc",
  "inclusionHeight": 1170990,
  "timestamp": 1704402208384,
  "index": 18,
  "globalIndex": 6408206,
  "numConfirmations": 594486,
  "inputs": [
    {
      "boxId": "794ccd7729acf2367eeeb828ce5e510bc1b1a19aa12b3817c6a86bfae133c465",
      "value": 2000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "74f023d86a344c4769117eb75808f822cba57e5d0ca43605bd8e50390204757a",
      "outputTransactionId": "53531feeac876c40504581029a4a39860be4316296d2c94d19b9d0523556b505",
      "outputIndex": 0,
      "outputGlobalIndex": 35784654,
      "outputCreatedAt": 1170975,
      "outputSettledAt": 1170980,
      "ergoTree": "10160400040004000404040004020e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d040404000400040204000101040004000400040005000e203af2d36f65da22a7da555b3fef877caf263ec9ceaa2d64323805b23dad528c66040404000400d808d601b2a5730000d602b2db63087201730100d6038c720201d6048cb2db6308a773020001d605aeb5b4a57303b1a5d901056391b1db630872057304d9010563aedb63087205d901074d0e938c7207017204d606e4c6a7041ad607b2a5730500d608db63087207959372037306d196830301ef7205938cb2db6308b2a473070073080001b2720673090095ae7208d901094d0e938c72090172049683040193c5a7c5b2a4730a00938cb27208730b0001720493c27207c2a7937206e4c67207041a730cd802d609b27208730d00d60ac2a7d196830c019372037204938c72090299b0adb5a4d9010b63d801d60ddb6308720bed91b1720d730e938cb2720d730f00017204d9010b638cb2db6308720b731000027311d9010b599a8c720b018c720b028c720202938c720901720493cbc272077312e6c67207051ae6c67207060e93e4c67207070ecb720a93e4c67207041a7206ef720593c27201720a93e4c67201041a7206938cb2db6308b2a573130073140001b27206731500",
      "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": 15062660,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01201db48c3ff54cceea1982f95c0dd3f4683da74566d59cc12186c8185c3b1f1fa4",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[1db48c3ff54cceea1982f95c0dd3f4683da74566d59cc12186c8185c3b1f1fa4]"
        },
        "R5": {
          "serializedValue": "1a010100",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[00]"
        }
      }
    },
    {
      "boxId": "fc008b247959b1d5789cb75ce93b073b184764b50a517f7849a4cc7e1bfb1113",
      "value": 3953887796,
      "index": 1,
      "spendingProof": "a2499d64b0ebbcbdd7f56e18f4955c24048374fe0b72f658d74bb48d7fdbc4fd3a61666eeefcd2ba3117d7a53cd7b850419de8e84a2be7de",
      "outputBlockId": "bd6cd1129efe01b91ef906518faf79fc65f2dfe5043e51cb609e27be0eeb434d",
      "outputTransactionId": "b9effd988aa9c5fbb5d055aed994e687098af1685c1870550b1d5cdbd7513c03",
      "outputIndex": 1,
      "outputGlobalIndex": 35784849,
      "outputCreatedAt": 1170984,
      "outputSettledAt": 1170986,
      "ergoTree": "0008cd035f9fb258c4c1b99f9f18c7bddfa9b10969ffa5298bd2fbbb1d012f8c8d70f2ff",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5f9fb2,12505b,...)))}",
      "address": "9hBvGp9bys9HTCBMYnqv8875DeTTGsUixEHppY9bXa173jcRabE",
      "assets": [
        {
          "tokenId": "1db48c3ff54cceea1982f95c0dd3f4683da74566d59cc12186c8185c3b1f1fa4",
          "index": 0,
          "amount": 1,
          "name": "WID-3jcRabE",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "bd51a15fe3a4cd41942d22174d72d339ab448c3ff27b527a839d93c41ebc8710",
      "value": 2000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "bd6cd1129efe01b91ef906518faf79fc65f2dfe5043e51cb609e27be0eeb434d",
      "outputTransactionId": "b9effd988aa9c5fbb5d055aed994e687098af1685c1870550b1d5cdbd7513c03",
      "outputIndex": 0,
      "outputGlobalIndex": 35784848,
      "outputCreatedAt": 1170984,
      "outputSettledAt": 1170986,
      "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"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01201db48c3ff54cceea1982f95c0dd3f4683da74566d59cc12186c8185c3b1f1fa4",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[1db48c3ff54cceea1982f95c0dd3f4683da74566d59cc12186c8185c3b1f1fa4]"
        },
        "R5": {
          "serializedValue": "1a010100",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[00]"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "5f8ffe0fde806c90ecde3c33e6103dacd623b56ea7a1781f3cea5b0464894733",
      "transactionId": "70a9736090e57a57be62abd7b85604ccb16fa48236150ca0005aaa7d6de367be",
      "blockId": "275e3b70822bda3312a9d2b313bec607b3e35179968fc7376962d281c88b1ebc",
      "value": 2000000,
      "index": 0,
      "globalIndex": 35784996,
      "creationHeight": 1170988,
      "settlementHeight": 1170990,
      "ergoTree": "10160400040004000404040004020e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d040404000400040204000101040004000400040005000e203af2d36f65da22a7da555b3fef877caf263ec9ceaa2d64323805b23dad528c66040404000400d808d601b2a5730000d602b2db63087201730100d6038c720201d6048cb2db6308a773020001d605aeb5b4a57303b1a5d901056391b1db630872057304d9010563aedb63087205d901074d0e938c7207017204d606e4c6a7041ad607b2a5730500d608db63087207959372037306d196830301ef7205938cb2db6308b2a473070073080001b2720673090095ae7208d901094d0e938c72090172049683040193c5a7c5b2a4730a00938cb27208730b0001720493c27207c2a7937206e4c67207041a730cd802d609b27208730d00d60ac2a7d196830c019372037204938c72090299b0adb5a4d9010b63d801d60ddb6308720bed91b1720d730e938cb2720d730f00017204d9010b638cb2db6308720b731000027311d9010b599a8c720b018c720b028c720202938c720901720493cbc272077312e6c67207051ae6c67207060e93e4c67207070ecb720a93e4c67207041a7206ef720593c27201720a93e4c67201041a7206938cb2db6308b2a573130073140001b27206731500",
      "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": 15062660,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01201db48c3ff54cceea1982f95c0dd3f4683da74566d59cc12186c8185c3b1f1fa4",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[1db48c3ff54cceea1982f95c0dd3f4683da74566d59cc12186c8185c3b1f1fa4]"
        },
        "R5": {
          "serializedValue": "1a010100",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[00]"
        }
      },
      "spentTransactionId": "146a727778a152e7fb163987a7c90ebe7f735931e8a5080cfdaaa8ff310cbb16",
      "mainChain": true
    },
    {
      "boxId": "52b999700a6b1a60fbd78cd9759069c73cd4cf3242f050be0d1e620fa8b1f0dc",
      "transactionId": "70a9736090e57a57be62abd7b85604ccb16fa48236150ca0005aaa7d6de367be",
      "blockId": "275e3b70822bda3312a9d2b313bec607b3e35179968fc7376962d281c88b1ebc",
      "value": 2000000,
      "index": 1,
      "globalIndex": 35784997,
      "creationHeight": 1170988,
      "settlementHeight": 1170990,
      "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": "1a01201db48c3ff54cceea1982f95c0dd3f4683da74566d59cc12186c8185c3b1f1fa4",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[1db48c3ff54cceea1982f95c0dd3f4683da74566d59cc12186c8185c3b1f1fa4]"
        },
        "R5": {
          "serializedValue": "1a01202d59248168bd3457641f265d27bd8b7716f88a3f4d0a9c357404606be983bef1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[2d59248168bd3457641f265d27bd8b7716f88a3f4d0a9c357404606be983bef1]"
        },
        "R6": {
          "serializedValue": "0e2079c32a001c33586d26a94ece0cfccb1d2c63543dd7b3c548b7b96996d1f29239",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "79c32a001c33586d26a94ece0cfccb1d2c63543dd7b3c548b7b96996d1f29239"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      },
      "spentTransactionId": "9c076491747317c4035338300ec17f51167f21bd973860c6ee1541a53df9dde4",
      "mainChain": true
    },
    {
      "boxId": "0def23a05d651e2281ec8d8343b1d57c84505328706bbc0ba9495165aaec346b",
      "transactionId": "70a9736090e57a57be62abd7b85604ccb16fa48236150ca0005aaa7d6de367be",
      "blockId": "275e3b70822bda3312a9d2b313bec607b3e35179968fc7376962d281c88b1ebc",
      "value": 3951887796,
      "index": 2,
      "globalIndex": 35784998,
      "creationHeight": 1170988,
      "settlementHeight": 1170990,
      "ergoTree": "0008cd035f9fb258c4c1b99f9f18c7bddfa9b10969ffa5298bd2fbbb1d012f8c8d70f2ff",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5f9fb2,12505b,...)))}",
      "address": "9hBvGp9bys9HTCBMYnqv8875DeTTGsUixEHppY9bXa173jcRabE",
      "assets": [
        {
          "tokenId": "1db48c3ff54cceea1982f95c0dd3f4683da74566d59cc12186c8185c3b1f1fa4",
          "index": 0,
          "amount": 1,
          "name": "WID-3jcRabE",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "146a727778a152e7fb163987a7c90ebe7f735931e8a5080cfdaaa8ff310cbb16",
      "mainChain": true
    },
    {
      "boxId": "dc7e3a40660b648e523982863ed8236eaaab6515783240d00a490e77c7a66392",
      "transactionId": "70a9736090e57a57be62abd7b85604ccb16fa48236150ca0005aaa7d6de367be",
      "blockId": "275e3b70822bda3312a9d2b313bec607b3e35179968fc7376962d281c88b1ebc",
      "value": 2000000,
      "index": 3,
      "globalIndex": 35784999,
      "creationHeight": 1170988,
      "settlementHeight": 1170990,
      "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": "08c588a3706ed42101540abd0dc55710bee2572ffe510a76df4bd3be28350901",
      "mainChain": true
    }
  ],
  "size": 1838,
  "isUnconfirmed": false
}