Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
240.06 ERG
Outputs (6)
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
146.4 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
82.85 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
8.41 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.018 ERG
Spent in transaction:
Settlement height:
Value:
2.38 ERG
Transaction Details
Status: Confirmed
Size: 3.44 KB
Received time: 7/17/2022 03:43:21 PM
Included in blocks: 795,440
Confirmations: 969,071
Total coins transferred: 240.06 ERG
Fees: 0.018 ERG
Fees per byte: 0.000005114 ERG
Raw Transaction Data
{
  "id": "7860bfc92fd03d8b9b33f2dfdca41c3a9120dd5bbf0f9fc38ee092a80e7e664e",
  "blockId": "6d6494aa2134995582262ef940581b5fcb348054b7db78cb238cb8f37e037490",
  "inclusionHeight": 795440,
  "timestamp": 1658072601823,
  "index": 4,
  "globalIndex": 3566110,
  "numConfirmations": 969071,
  "inputs": [
    {
      "boxId": "7a882b2bdd78846fae9243583f6ed448720550ff2c2d09eb3ce1857faa8556e1",
      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "ced26ddf3b218dae9edb1089ff956cc272734cc692440cae4d59f56031aaf177",
      "outputTransactionId": "f020be0851019a29b1dd5722c8dea4cf2112a7b0de22653406e07f22d50183af",
      "outputIndex": 0,
      "outputGlobalIndex": 18107923,
      "outputCreatedAt": 775758,
      "outputSettledAt": 775760,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: Coll(-26,12,-102,51,35,64,33,-45,-100,-102,39,-62,-87,118,66,-120,32,-38,35,-124,-87,-62,77,-90,21,7,71,-108,-70,27,77,4)\n3: 0\n4: 0\n5: 100\n6: 1\n7: -1\n8: 0\n9: 1\n10: 0\n11: 0\n12: Coll(12,-40,-55,-12,22,-27,-79,-54,-97,-104,106,127,16,-88,65,-111,-33,-72,89,65,97,-98,73,-27,60,13,-61,14,-65,-125,50,75)\n13: 1\n14: 0\n15: 2500\n16: 0\n17: 100000\n18: 1000000",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val coll3 = SELF.tokens\n  val tuple4 = coll2(placeholder[Int](1))\n  val coll5 = OUTPUTS.filter({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](2) })\n  val l6 = coll5.fold(placeholder[Long](3), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.tokens(placeholder[Int](4))._2 })\n  val l7 = box1.R5[Long].get\n  val func8 = {(tuple8: (Long, Long)) =>\n    val l10 = tuple8._2\n    val l11 = tuple8._1 - l10 * placeholder[Long](5) / l10\n    (l11 < placeholder[Long](6)) && (l11 > placeholder[Long](7))\n  }\n  val l9 = coll5.fold(placeholder[Long](8), {(tuple9: (Long, Box)) => tuple9._1 + tuple9._2.value })\n  val l10 = INPUTS(placeholder[Int](9)).value\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        box1.propositionBytes == SELF.propositionBytes, coll2(placeholder[Int](10))._1 == coll3(placeholder[Int](11))._1, tuple4._1 == placeholder[Coll[Byte]](\n          12\n        ), tuple4._2 >= coll3(placeholder[Int](13))._2 - l6, box1.value == SELF.value, box1.R4[Long].get > placeholder[Long](14), l7 <= placeholder[Long](\n          15\n        ), l7 >= placeholder[Long](16)\n      )\n    ) && allOf(Coll[Boolean](func8((l9, l10 - l10 * SELF.R5[Long].get / placeholder[Long](17))), func8((l6, l9 * SELF.R4[Long].get / placeholder[Long](18)))))\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1f29b1a6a5d698e50709d72f22c3611cfed74b57cce122f82632c22263ebde51",
          "index": 0,
          "amount": 1,
          "name": "COMET Emission Box NFT",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
          "index": 1,
          "amount": 1992197515,
          "name": "COMET",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "050a",
          "sigmaType": "SLong",
          "renderedValue": "5"
        },
        "R5": {
          "serializedValue": "05d00f",
          "sigmaType": "SLong",
          "renderedValue": "1000"
        }
      }
    },
    {
      "boxId": "15906b14374615b8ee31cb8015393dcf511c771ae9b8e361599f802710ee6cbc",
      "value": 240056300000,
      "index": 1,
      "spendingProof": "c347b30bf2e5b7c1b443a59917412cb94c6a0fe2f2f9fce621b0410085a6e2a027f3d30ec403143060f7c79c3ffbc2f245ee646eafb54393",
      "outputBlockId": "6d6494aa2134995582262ef940581b5fcb348054b7db78cb238cb8f37e037490",
      "outputTransactionId": "d2c58cea298dc07e0443fcbb54913e6f29537c45dc9b1bec47681d86441e2a6b",
      "outputIndex": 0,
      "outputGlobalIndex": 19168753,
      "outputCreatedAt": 795437,
      "outputSettledAt": 795440,
      "ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
      "address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "174ffd4b5a6c54d2d87cd7afdbaeff28c3c861ff7005241f2ece1def17ae6152",
      "transactionId": "7860bfc92fd03d8b9b33f2dfdca41c3a9120dd5bbf0f9fc38ee092a80e7e664e",
      "blockId": "6d6494aa2134995582262ef940581b5fcb348054b7db78cb238cb8f37e037490",
      "value": 1000000,
      "index": 0,
      "globalIndex": 19168758,
      "creationHeight": 795437,
      "settlementHeight": 795440,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: Coll(-26,12,-102,51,35,64,33,-45,-100,-102,39,-62,-87,118,66,-120,32,-38,35,-124,-87,-62,77,-90,21,7,71,-108,-70,27,77,4)\n3: 0\n4: 0\n5: 100\n6: 1\n7: -1\n8: 0\n9: 1\n10: 0\n11: 0\n12: Coll(12,-40,-55,-12,22,-27,-79,-54,-97,-104,106,127,16,-88,65,-111,-33,-72,89,65,97,-98,73,-27,60,13,-61,14,-65,-125,50,75)\n13: 1\n14: 0\n15: 2500\n16: 0\n17: 100000\n18: 1000000",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val coll3 = SELF.tokens\n  val tuple4 = coll2(placeholder[Int](1))\n  val coll5 = OUTPUTS.filter({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](2) })\n  val l6 = coll5.fold(placeholder[Long](3), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.tokens(placeholder[Int](4))._2 })\n  val l7 = box1.R5[Long].get\n  val func8 = {(tuple8: (Long, Long)) =>\n    val l10 = tuple8._2\n    val l11 = tuple8._1 - l10 * placeholder[Long](5) / l10\n    (l11 < placeholder[Long](6)) && (l11 > placeholder[Long](7))\n  }\n  val l9 = coll5.fold(placeholder[Long](8), {(tuple9: (Long, Box)) => tuple9._1 + tuple9._2.value })\n  val l10 = INPUTS(placeholder[Int](9)).value\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        box1.propositionBytes == SELF.propositionBytes, coll2(placeholder[Int](10))._1 == coll3(placeholder[Int](11))._1, tuple4._1 == placeholder[Coll[Byte]](\n          12\n        ), tuple4._2 >= coll3(placeholder[Int](13))._2 - l6, box1.value == SELF.value, box1.R4[Long].get > placeholder[Long](14), l7 <= placeholder[Long](\n          15\n        ), l7 >= placeholder[Long](16)\n      )\n    ) && allOf(Coll[Boolean](func8((l9, l10 - l10 * SELF.R5[Long].get / placeholder[Long](17))), func8((l6, l9 * SELF.R4[Long].get / placeholder[Long](18)))))\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1f29b1a6a5d698e50709d72f22c3611cfed74b57cce122f82632c22263ebde51",
          "index": 0,
          "amount": 1,
          "name": "COMET Emission Box NFT",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
          "index": 1,
          "amount": 1991009237,
          "name": "COMET",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "050a",
          "sigmaType": "SLong",
          "renderedValue": "5"
        },
        "R5": {
          "serializedValue": "05d00f",
          "sigmaType": "SLong",
          "renderedValue": "1000"
        }
      },
      "spentTransactionId": "10b08e60706b55019c95b95ae42c344d1fb60af41822b853bd365d4913fdb253",
      "mainChain": true
    },
    {
      "boxId": "5e85ce7cb030e76e558efbbaaff1e3129d9fe4b5ed23cbf195725fb1c8946b94",
      "transactionId": "7860bfc92fd03d8b9b33f2dfdca41c3a9120dd5bbf0f9fc38ee092a80e7e664e",
      "blockId": "6d6494aa2134995582262ef940581b5fcb348054b7db78cb238cb8f37e037490",
      "value": 146397000000,
      "index": 1,
      "globalIndex": 19168759,
      "creationHeight": 795437,
      "settlementHeight": 795440,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  val i3 = placeholder[Int](1)\n  sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n      val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n          val coll8 = tuple6._2\n          coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n        }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n      val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n          val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n          (tuple7._1, l9 - l9 % placeholder[Long](11))\n        })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n      val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n      val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n          val coll12 = tuple10._2\n          coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n        }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n      (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n            val coll13 = tuple11._1\n            val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n            val coll15 = tuple11._2\n            val l16 = {(l16: Long) =>\n              val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n              l18 - l18 % placeholder[Long](20)\n            }(coll15(placeholder[Int](21)))\n            val l17 = coll15(placeholder[Int](22))\n            val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n            val l19 = coll15(placeholder[Int](24))\n            if (i14 != placeholder[Int](25)) {(\n              val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n              if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n                  val coll21 = OUTPUTS(i18).tokens\n                  if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n                )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n            )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n                  val coll20 = OUTPUTS(i18).tokens\n                  if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n                )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n          }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n            val l13 = tuple11._2\n            if (l13 > placeholder[Long](43)) {(\n              val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n              if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n            )} else { placeholder[Boolean](47) }\n          })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n    )} else { placeholder[Boolean](53) })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
          "index": 0,
          "amount": 731985,
          "name": "COMET",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "c89ace2b0c38320ec897fda4229c7cc8c18587f21e1ce1cd285968ffe7775872",
      "mainChain": true
    },
    {
      "boxId": "ce2fca394060445f4d42302b47c57fa88ff75e369b1513aa9de855e58895e25c",
      "transactionId": "7860bfc92fd03d8b9b33f2dfdca41c3a9120dd5bbf0f9fc38ee092a80e7e664e",
      "blockId": "6d6494aa2134995582262ef940581b5fcb348054b7db78cb238cb8f37e037490",
      "value": 82851000000,
      "index": 2,
      "globalIndex": 19168760,
      "creationHeight": 795437,
      "settlementHeight": 795440,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  val i3 = placeholder[Int](1)\n  sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n      val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n          val coll8 = tuple6._2\n          coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n        }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n      val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n          val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n          (tuple7._1, l9 - l9 % placeholder[Long](11))\n        })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n      val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n      val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n          val coll12 = tuple10._2\n          coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n        }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n      (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n            val coll13 = tuple11._1\n            val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n            val coll15 = tuple11._2\n            val l16 = {(l16: Long) =>\n              val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n              l18 - l18 % placeholder[Long](20)\n            }(coll15(placeholder[Int](21)))\n            val l17 = coll15(placeholder[Int](22))\n            val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n            val l19 = coll15(placeholder[Int](24))\n            if (i14 != placeholder[Int](25)) {(\n              val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n              if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n                  val coll21 = OUTPUTS(i18).tokens\n                  if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n                )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n            )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n                  val coll20 = OUTPUTS(i18).tokens\n                  if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n                )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n          }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n            val l13 = tuple11._2\n            if (l13 > placeholder[Long](43)) {(\n              val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n              if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n            )} else { placeholder[Boolean](47) }\n          })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n    )} else { placeholder[Boolean](53) })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
          "index": 0,
          "amount": 414255,
          "name": "COMET",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "423c8cbbdb0ed826cf14d74e35ede943335a3d9f571e0d952f708b6db4757740",
      "mainChain": true
    },
    {
      "boxId": "9a810a584aaacfa02a3a9cec0ce57bfdd0f797c49a02ead27953b502cdd11c20",
      "transactionId": "7860bfc92fd03d8b9b33f2dfdca41c3a9120dd5bbf0f9fc38ee092a80e7e664e",
      "blockId": "6d6494aa2134995582262ef940581b5fcb348054b7db78cb238cb8f37e037490",
      "value": 8407000000,
      "index": 3,
      "globalIndex": 19168761,
      "creationHeight": 795437,
      "settlementHeight": 795440,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  val i3 = placeholder[Int](1)\n  sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n      val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n          val coll8 = tuple6._2\n          coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n        }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n      val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n          val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n          (tuple7._1, l9 - l9 % placeholder[Long](11))\n        })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n      val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n      val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n          val coll12 = tuple10._2\n          coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n        }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n      (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n            val coll13 = tuple11._1\n            val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n            val coll15 = tuple11._2\n            val l16 = {(l16: Long) =>\n              val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n              l18 - l18 % placeholder[Long](20)\n            }(coll15(placeholder[Int](21)))\n            val l17 = coll15(placeholder[Int](22))\n            val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n            val l19 = coll15(placeholder[Int](24))\n            if (i14 != placeholder[Int](25)) {(\n              val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n              if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n                  val coll21 = OUTPUTS(i18).tokens\n                  if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n                )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n            )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n                  val coll20 = OUTPUTS(i18).tokens\n                  if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n                )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n          }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n            val l13 = tuple11._2\n            if (l13 > placeholder[Long](43)) {(\n              val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n              if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n            )} else { placeholder[Boolean](47) }\n          })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n    )} else { placeholder[Boolean](53) })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
          "index": 0,
          "amount": 42038,
          "name": "COMET",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "e1a9561c181b7cf0797035953932ce0a3b51d37b50c40c2dfbe32b40db62eea8",
      "mainChain": true
    },
    {
      "boxId": "aab93cbcf5227d62b380a5698d525eec98d1fc1df6fcd93995f60c9cb98ad782",
      "transactionId": "7860bfc92fd03d8b9b33f2dfdca41c3a9120dd5bbf0f9fc38ee092a80e7e664e",
      "blockId": "6d6494aa2134995582262ef940581b5fcb348054b7db78cb238cb8f37e037490",
      "value": 18000000,
      "index": 4,
      "globalIndex": 19168762,
      "creationHeight": 795437,
      "settlementHeight": 795440,
      "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": "80aefd10a16cdc217b49d4a2d940d724304df057fa0bb5e6fa901f3c5232b085",
      "mainChain": true
    },
    {
      "boxId": "03fac1ff036f4533a9f2e50776a06dc582f083ba9fecc6d21c7c9f1fb73294e1",
      "transactionId": "7860bfc92fd03d8b9b33f2dfdca41c3a9120dd5bbf0f9fc38ee092a80e7e664e",
      "blockId": "6d6494aa2134995582262ef940581b5fcb348054b7db78cb238cb8f37e037490",
      "value": 2383300000,
      "index": 5,
      "globalIndex": 19168763,
      "creationHeight": 795437,
      "settlementHeight": 795440,
      "ergoTree": "0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6d9d81,e53882,...)))}",
      "address": "9fMLVMsG8U1PHqHZ8JDQ4Yn6q5wPdruVn2ctwqaqCXVLfWxfc3Q",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "3f8467d993a6970fef67bc5c5e49fb02791f76b741d890eaafb141cae460f708",
      "mainChain": true
    }
  ],
  "size": 3520,
  "isUnconfirmed": false
}