Transaction
ID: 17ee920a29...2309
Inputs (8)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
76.39 ERG
Tokens:
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Spent
Address:
Output transaction:
Settlement height:
Value:
28.67 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00015 ERG
Tokens:
2
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
20.99
Spent
Address:
Output transaction:
Settlement height:
Value:
71.51 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00003996 ERG
Tokens:
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Outputs (6)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
58.8 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
58.8 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
58.8 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.15 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Transaction Details
Confirmations: 484,043
Total coins transferred: 176.57 ERG
Fees: 0.005 ERG
Fees per byte: 0.000000599 ERG
Raw Transaction Data
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{
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{
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{
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}
],
"additionalRegisters": {}
},
{
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"outputIndex": 0,
"outputGlobalIndex": 40610180,
"outputCreatedAt": 1280399,
"outputSettledAt": 1280401,
"ergoTree": "0008cd02182d06d87d208455df95976207a09a491575f70ac8ffe56ab236eef214f9cc50",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(182d06,cb9c00,...)))}",
"address": "9ehi4BDbc4pRjxkWioMi2TgHnengXK7y3ZPBdzQeNaHZFqFPyTu",
"assets": [
{
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"name": "Ergo2Top10",
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"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
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"outputBlockId": "51e1903c2e79b9ac88174374bae6050824b20c294bf4cf5dfa7ccbd00c32f779",
"outputTransactionId": "460359c0a260419e8fb42aba05874f170de51adbe632cf4d0ee240caa4070d99",
"outputIndex": 0,
"outputGlobalIndex": 40667567,
"outputCreatedAt": 1282161,
"outputSettledAt": 1282163,
"ergoTree": "0008cd02182d06d87d208455df95976207a09a491575f70ac8ffe56ab236eef214f9cc50",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(182d06,cb9c00,...)))}",
"address": "9ehi4BDbc4pRjxkWioMi2TgHnengXK7y3ZPBdzQeNaHZFqFPyTu",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "DRAGON",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
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"value": 3219364,
"index": 0,
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"outputTransactionId": "a3c9f6e7ba3ef05707139ee011a82bd134591edff86f40ef6e2313e1c9c280ca",
"outputIndex": 0,
"ergoTree": "0008cd03b04048a9708f0a2b109d75513a2483e3b9ede622efb3cc03bdddf93bccd93ac5",
"address": "9hoRnjysKfkwZSCgSFNzSXMohwYn8DqruuYxD6vT7Ubw55qnwiZ",
"assets": [],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8"
},
"R6": {
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"sigmaType": "SLong",
"renderedValue": "10000000"
},
"R8": {
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"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "110280dddb0180fca402",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1800000,2400000]"
},
"R4": {
"serializedValue": "043c",
"sigmaType": "SInt",
"renderedValue": "30"
}
}
}
],
"outputs": [
{
"boxId": "c54afc65c507d6951c84d48cd36bd85cf0233632f0892d70f56192a7e54f6147",
"transactionId": "17ee920a292f39b00de7c4bf63a661b9ba567e2b0a5ff761d20b167a613a2309",
"blockId": "1aa4d289c7de51d94d708141eb385521b659b275224f829bacb0c64b29dd4c51",
"value": 15000000,
"index": 0,
"globalIndex": 40692188,
"creationHeight": 1282887,
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"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 2\n4: 0\n5: 0\n6: 2\n7: 0\n8: 1\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 2\n15: 1\n16: 1000\n17: 0\n18: 2\n19: 10\n20: 2\n21: 0\n22: 0\n23: 0\n24: 0\n25: 0\n26: 3\n27: 0\n28: 1000\n29: 1000\n30: 1000\n31: 0\n32: 0\n33: 2\n34: 10\n35: 3\n36: 0\n37: 1000\n38: 2\n39: 1000\n40: 0\n41: 3\n42: 3\n43: 0\n44: 0\n45: false\n46: true\n47: 0\n48: 1\n49: 0\n50: 1\n51: 0\n52: 1\n53: 0\n54: 0\n55: 0\n56: 1\n57: 0\n58: 1\n59: 2\n60: 0\n61: false\n62: 0\n63: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = Coll[Byte]()\n val l3 = SELF.value\n val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n val l5 = tuple4._2\n val opt6 = SELF.R6[Coll[Long]]\n val coll7 = opt6.get\n val l8 = coll7(placeholder[Int](1))\n val coll9 = SELF.R7[Coll[Byte]].get\n val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n val bool11 = l10 < l8\n val coll12 = SELF.R4[Coll[Byte]].get\n val l13 = CONTEXT.preHeader.timestamp\n val tuple14 = SELF.R5[(Long, Long)].get\n val l15 = tuple14._1\n val l16 = tuple14._2\n val l17 = coll7.getOrElse(placeholder[Int](3), placeholder[Long](4))\n val box18 = CONTEXT.dataInputs(placeholder[Int](5))\n val i19 = box18.R4[Int].get\n val box20 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll21 = box20.tokens\n val l22 = box20.value\n val tuple23 = (coll2, l22)\n val tuple24 = coll21.getOrElse(placeholder[Int](7), tuple23)\n val box25 = OUTPUTS.getOrElse(placeholder[Int](8), SELF)\n val coll26 = box25.tokens\n val l27 = box25.value\n val tuple28 = (coll2, l27)\n val tuple29 = coll26.getOrElse(placeholder[Int](9), tuple28)\n val coll30 = SELF.R8[Coll[Byte]].get\n val bool31 = INPUTS(placeholder[Int](10)).id == SELF.id\n sigmaProp(bool11) && proveDlog(decodePoint(coll12.slice(placeholder[Int](11), coll12.size))) || sigmaProp(if (l13 > l15) { if (l13 > l16) {(\n val bool32 = (l10 >= l8) || ((l17 > placeholder[Long](12)) && (l10 >= l17))\n val i33 = OUTPUTS.size\n val box34 = OUTPUTS(placeholder[Int](13))\n val l35 = placeholder[Long](14) * box18.R6[Long].get\n val box36 = box20\n val coll37 = coll21\n val l38 = l22\n val tuple39 = tuple23\n val tuple40 = tuple24\n val box41 = box25\n val box42 = box41.R4[Box].getOrElse(OUTPUTS(i33 - placeholder[Int](15)))\n val opt43 = box42.R4[Int]\n val bool44 = opt43.isDefined\n val i45 = placeholder[Int](16) - i19 - if (bool44) {(\n val i45 = opt43.getOrElse(placeholder[Int](17))\n if ((i45 < placeholder[Int](18)) || (i45 >= placeholder[Int](19))) { i45 } else { if ((i45 == placeholder[Int](20)) && box42.R5[Coll[(Coll[Byte], Int)]].isDefined) { box42.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](21), {(tuple46: (Int, (Coll[Byte], Int))) => tuple46._1 + tuple46._2._2 }) } else { placeholder[Int](22) } }\n )} else { placeholder[Int](23) }\n val coll46 = coll26\n val l47 = l27\n val tuple48 = tuple28\n val tuple49 = tuple29\n val box50 = OUTPUTS.getOrElse(placeholder[Int](24), SELF)\n val tuple51 = coll1(placeholder[Int](25))\n ((!bool32) && allOf(Coll[Boolean](i33 == placeholder[Int](26), box34.tokens == coll1, box34.value >= l3 - l35, box34.propositionBytes == coll12))) || (bool32 && allOf(Coll[Boolean](bool31, ((box36.propositionBytes == coll12) && (tuple40._2 >= if (coll9.size > placeholder[Int](27)) { l10 * i45.toLong / placeholder[Long](28) } else { l10 * i45.toLong / placeholder[Long](29) - l35 })) && (tuple40._1 == coll9), ((box41.propositionBytes == box18.R5[Coll[Byte]].get) && (tuple49._2 >= l10 * i19.toLong / placeholder[Long](30))) && (tuple49._1 == coll9), box50.propositionBytes == coll30, tuple51 == box50.tokens(placeholder[Int](31)), if (bool44) {(\n val i52 = opt43.getOrElse(placeholder[Int](32))\n if ((i52 < placeholder[Int](33)) || (i52 >= placeholder[Int](34))) {(\n val box53 = OUTPUTS.getOrElse(placeholder[Int](35), SELF)\n val tuple54 = box53.tokens.getOrElse(placeholder[Int](36), (coll2, box53.value))\n ((tuple54._2 >= l10 * i52.toLong / placeholder[Long](37)) && (tuple54._1 == coll9)) && (box53.propositionBytes == box42.propositionBytes)\n )} else { if ((i52 == placeholder[Int](38)) && box42.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n val coll53 = box42.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n val i54 = coll53.size\n coll53.map({(tuple55: (Coll[Byte], Int)) => (tuple55._1, tuple55._2.toLong * l10 / placeholder[Long](39)) }).slice(placeholder[Int](40), i54) == OUTPUTS.slice(placeholder[Int](41), placeholder[Int](42) + i54).map({(box55: Box) =>\n val tuple57 = box55.tokens.getOrElse(placeholder[Int](43), (coll2, box55.value))\n if (tuple57._1 == coll9) { (box55.propositionBytes, tuple57._2) } else { (coll2, placeholder[Long](44)) }\n })\n )} else { placeholder[Boolean](45) } }\n )} else { placeholder[Boolean](46) } && (blake2b256(box42.bytes) == tuple51._1))))\n )} else {(\n val box32 = OUTPUTS(placeholder[Int](47))\n val coll33 = box32.tokens\n val tuple34 = coll33.getOrElse(placeholder[Int](48), (coll2, box32.value))\n val l35 = tuple34._2\n val bool36 = l17 > placeholder[Long](49)\n val coll37 = box18.R7[Coll[Long]].get\n val box38 = OUTPUTS(placeholder[Int](50))\n val tuple39 = box38.tokens.getOrElse(placeholder[Int](51), (coll2, box38.value))\n allOf(Coll[Boolean](bool31, tuple34._1 == coll9, (l35 >= if (bool11) { l8 } else { l10 + coll7(placeholder[Int](52)) }) || (bool36 && (l35 >= l17)), coll1(placeholder[Int](53)) == coll33(placeholder[Int](54)), box32.propositionBytes == SELF.propositionBytes, box32.R4[Coll[Byte]].get == coll12, if (bool36 && (l35 >= l17)) {(\n val tuple40 = box32.R5[(Long, Long)].get\n (tuple40._1 == l15) && (tuple40._2 <= l13)\n )} else { box32.R5[(Long, Long)].get == (l15, if (l16 - l13 <= coll37(placeholder[Int](55))) { l16 + coll37(placeholder[Int](56)) } else { l16 }) }, box32.R6[Coll[Long]] == opt6, box32.R7[Coll[Byte]].get == coll9, coll33.size == if (coll9.size == placeholder[Int](57)) { placeholder[Int](58) } else { placeholder[Int](59) }, box38.propositionBytes == coll30, ((tuple39._1 == coll9) && (tuple39._2 >= l10)) || (l10 == placeholder[Long](60))))\n )} } else { placeholder[Boolean](61) }) && sigmaProp(box18.tokens(placeholder[Int](62))._1 == placeholder[Coll[Byte]](63))\n}",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
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"sigmaType": "(SLong, SLong)",
"renderedValue": "[1717942601874,1718546801874]"
},
"R6": {
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"sigmaType": "Coll[SLong]",
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},
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"sigmaType": "Coll[SByte]",
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"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
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"mainChain": true
},
{
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"creationHeight": 1282887,
"settlementHeight": 1282889,
"ergoTree": "0008cd02182d06d87d208455df95976207a09a491575f70ac8ffe56ab236eef214f9cc50",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(182d06,cb9c00,...)))}",
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