Transaction
ID: ef1d67c3a7...85af
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
2.82 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
Loading assets...
Unspent
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Transaction Details
Confirmations: 445,342
Total coins transferred: 2.82 ERG
Fees: 0.005 ERG
Fees per byte: 0.00000159 ERG
Raw Transaction Data
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{
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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: 1000\n16: 0\n17: 3\n18: 0\n19: 1000\n20: 1000\n21: 1000\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 1\n36: 2\n37: 0\n38: false\n39: 0\n40: 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 box33 = OUTPUTS(placeholder[Int](13))\n val l34 = placeholder[Long](14) * box18.R6[Long].get\n val box35 = box20\n val coll36 = coll21\n val l37 = l22\n val tuple38 = tuple23\n val tuple39 = tuple24\n val i40 = placeholder[Int](15) - i19\n val box41 = box25\n val coll42 = coll26\n val l43 = l27\n val tuple44 = tuple28\n val tuple45 = tuple29\n val box46 = OUTPUTS.getOrElse(placeholder[Int](16), SELF)\n ((!bool32) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](17), box33.tokens == coll1, box33.value >= l3 - l34, box33.propositionBytes == coll12))) || (bool32 && allOf(Coll[Boolean](bool31, ((box35.propositionBytes == coll12) && (tuple39._2 >= if (coll9.size > placeholder[Int](18)) { l10 * i40.toLong / placeholder[Long](19) } else { l10 * i40.toLong / placeholder[Long](20) - l34 })) && (tuple39._1 == coll9), ((box41.propositionBytes == box18.R5[Coll[Byte]].get) && (tuple45._2 >= l10 * i19.toLong / placeholder[Long](21))) && (tuple45._1 == coll9), box46.propositionBytes == coll30, coll1(placeholder[Int](22)) == box46.tokens(placeholder[Int](23)))))\n )} else {(\n val box32 = OUTPUTS(placeholder[Int](24))\n val coll33 = box32.tokens\n val tuple34 = coll33.getOrElse(placeholder[Int](25), (coll2, box32.value))\n val l35 = tuple34._2\n val bool36 = l17 > placeholder[Long](26)\n val coll37 = box18.R7[Coll[Long]].get\n val box38 = OUTPUTS(placeholder[Int](27))\n val tuple39 = box38.tokens.getOrElse(placeholder[Int](28), (coll2, box38.value))\n allOf(Coll[Boolean](bool31, tuple34._1 == coll9, (l35 >= if (bool11) { l8 } else { l10 + coll7(placeholder[Int](29)) }) || (bool36 && (l35 >= l17)), coll1(placeholder[Int](30)) == coll33(placeholder[Int](31)), 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](32))) { l16 + coll37(placeholder[Int](33)) } else { l16 }) }, box32.R6[Coll[Long]] == opt6, box32.R7[Coll[Byte]].get == coll9, coll33.size == if (coll9.size == placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, box38.propositionBytes == coll30, ((tuple39._1 == coll9) && (tuple39._2 >= l10)) || (l10 == placeholder[Long](37))))\n )} } else { placeholder[Boolean](38) }) && sigmaProp(box18.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "ERGOZX #47-100L",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "599481aae1a76494f2c4a1ac64",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1723323465802,1723927665802]"
},
"R6": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[400000000000,3000000000,400000000000]"
},
"R8": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03bf44bb194d8f69cbb621ca84a0980b597e304e0ebe0048080a644943ec207685"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
"serializedValue": "0e240008cd03bf44bb194d8f69cbb621ca84a0980b597e304e0ebe0048080a644943ec207685",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03bf44bb194d8f69cbb621ca84a0980b597e304e0ebe0048080a644943ec207685"
}
},
"spentTransactionId": "3c9842b2b3db71ec9da5b6c4f2364deb25bf2fc2af3a875bca03cd3b6d174b78",
"mainChain": true
},
{
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"transactionId": "ef1d67c3a7580a6f44cdfdae3195f3bc73e6fbd343b462e93103c882a6af85af",
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"value": 2647900000,
"index": 1,
"globalIndex": 42070323,
"creationHeight": 1327301,
"settlementHeight": 1327303,
"ergoTree": "0008cd03bf44bb194d8f69cbb621ca84a0980b597e304e0ebe0048080a644943ec207685",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bf44bb,d0a2fc,...)))}",
"address": "9hv3PTeAuPXAJfArLZZaheQHJA1s7ADJJB4FZASdxN5jxX5njg3",
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