Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
2,000 ERG
Output transaction:
Settlement height:
Value:
56.22 ERG
Tokens:
Loading assets...
Outputs (4)
Spent in transaction:
Settlement height:
Value:
2,050 ERG
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Spent in transaction:
Settlement height:
Value:
0.0022 ERG
Spent in transaction:
Settlement height:
Value:
6.21 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 2.89 KB
Received time: 6/16/2024 07:52:38 AM
Included in blocks: 1,287,701
Confirmations: 482,192
Total coins transferred: 2,056.22 ERG
Fees: 0.0022 ERG
Fees per byte: 0.000000743 ERG
Raw Transaction Data
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  "inclusionHeight": 1287701,
  "timestamp": 1718524358953,
  "index": 14,
  "globalIndex": 7359975,
  "numConfirmations": 482192,
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  "dataInputs": [],
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      "ergoTreeConstants": "0: 0\n1: Coll(3,-6,-14,-53,50,-97,46,-112,-42,-46,59,88,-39,27,-69,108,4,106,-95,67,38,28,-62,31,82,-5,-30,-126,75,-4,-65,4)\n2: 500\n3: 100000\n4: SigmaProp(ProveDlog(ECPoint(a11d30,ad476b,...)))\n5: 400\n6: CBigInt(0)\n7: Coll(125,-71,54,-21,106,-115,-128,79,-33,-113,-82,-29,104,-18,111,92,-28,-108,50,70,121,-121,52,-49,-33,11,15,-120,-43,106,-4,-116)\n8: 1\n9: 0\n10: 0\n11: 30\n12: 8\n13: 0\n14: 1000000\n15: 1\n16: 2\n17: 0\n18: 1000000\n19: 1\n20: true\n21: 1\n22: 3\n23: 0\n24: 1000000\n25: 1\n26: true\n27: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val prop2 = SELF.R4[SigmaProp].get\n  val i3 = SELF.R7[Int].get\n  val coll4 = placeholder[Coll[Byte]](1)\n  val l5 = SELF.R5[Long].get\n  val opt6 = getVar[SigmaProp](0.toByte)\n  val bool7 = opt6.isDefined\n  val l8 = placeholder[Long](2)\n  val l9 = placeholder[Long](3)\n  val prop10 = placeholder[SigmaProp](4)\n  val coll11 = if (bool7) {(\n    val bi11 = l5.toBigInt\n    Coll[(SigmaProp, BigInt)]((prop10, l8.toBigInt * bi11 / l9.toBigInt), (opt6.get, placeholder[Long](5).toBigInt * bi11 / l9.toBigInt))\n  )} else { Coll[(SigmaProp, BigInt)]((prop10, l8.toBigInt * l5.toBigInt / l9.toBigInt)) }\n  val bi12 = placeholder[BigInt](6)\n  if (placeholder[Coll[Byte]](7) == blake2b256(box1.propositionBytes)) {(\n    val i13 = HEIGHT + i3 - box1.R7[Int].get\n    val box14 = OUTPUTS(placeholder[Int](8))\n    val coll15 = box14.tokens\n    val tuple16 = coll15(placeholder[Int](9))\n    val tuple17 = coll11(placeholder[Int](10))\n    val bi18 = tuple17._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          box1.R4[Coll[Byte]].get == SELF.id, box1.R5[SigmaProp].get == prop2, box1.R6[Long].get == SELF.R6[Long].get, box1.R8[\n            SigmaProp\n          ].isDefined, box1.tokens == SELF.tokens, box1.value == SELF.value, i3 >= placeholder[Int](11), i13 <= placeholder[Int](12), i13 >= placeholder[Int](\n            13\n          ), box14.propositionBytes == prop2.propBytes, box14.value == placeholder[Long](14), tuple16._1 == coll4, tuple16._2 == l5, coll15.size == placeholder[\n            Int\n          ](15)\n        )\n      ) && (if (bi18 > bi12) {(\n          val box19 = OUTPUTS(placeholder[Int](16))\n          val coll20 = box19.tokens\n          val tuple21 = coll20(placeholder[Int](17))\n          allOf(Coll[Boolean](box19.propositionBytes == tuple17._1.propBytes, box19.value == placeholder[Long](18), tuple21._1 == coll4, tuple21._2.toBigInt == bi18, coll20.size == placeholder[Int](19)))\n        )} else { placeholder[Boolean](20) } && if (bool7) {(\n          val tuple19 = coll11(placeholder[Int](21))\n          val bi20 = tuple19._2\n          if (bi20 > bi12) {(\n            val box21 = OUTPUTS(placeholder[Int](22))\n            val coll22 = box21.tokens\n            val tuple23 = coll22(placeholder[Int](23))\n            allOf(Coll[Boolean](box21.propositionBytes == tuple19._1.propBytes, box21.value == placeholder[Long](24), tuple23._1 == coll4, tuple23._2.toBigInt == bi20, coll22.size == placeholder[Int](25)))\n          )} else { placeholder[Boolean](26) }\n        )} else { placeholder[Boolean](27) })\n    )\n  )} else { prop2 }\n}",
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      "assets": [],
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        "R4": {
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          "sigmaType": "SSigmaProp",
          "renderedValue": "02ce7771a94f31bfecedaef79acbe0bc146e7179b6475ac9c5c45abacba486e992"
        },
        "R5": {
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          "sigmaType": "SLong",
          "renderedValue": "90000"
        },
        "R6": {
          "serializedValue": "05e0b00f",
          "sigmaType": "SLong",
          "renderedValue": "126000"
        },
        "R7": {
          "serializedValue": "0480d21f",
          "sigmaType": "SInt",
          "renderedValue": "259200"
        }
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      "mainChain": true
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      "index": 1,
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      "creationHeight": 1287699,
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      "ergoTree": "0008cd03d09997ce2bd43e89114cfc6bf63319423493a9aa098b2488f150add9b506fd18",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d09997,b0d671,...)))}",
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      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "5b7b8c4781fb4853b0a771ca11e2c4f92f387c225d0303c64a8dfe4de055feee",
      "mainChain": true
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    {
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      "blockId": "bed571944741472928cb15bdd8ae0982948c0c342492545d87f08a80959f7527",
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      "creationHeight": 1287699,
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      "ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
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      "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)}",
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      "spentTransactionId": "8a3531a1fd175f6357ae918368c53c8d3e1c27bcd4d75b498bdc4d9d3d926eb7",
      "mainChain": true
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      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ce7771,fecb85,...)))}",
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