Transaction
ID: 1f9e8a6977...941d
Inputs (6)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.8657 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.101 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
1,000
Spent
Address:
Output transaction:
Settlement height:
Value:
0.01454671 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
7.56 ERG
Tokens:
10,000
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
3 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
5.55 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 129,090
Total coins transferred: 8.55 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000217 ERG
Raw Transaction Data
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{
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{
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{
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},
{
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{
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{
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},
{
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{
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{
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{
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}
],
"additionalRegisters": {}
},
{
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"ergoTree": "0008cd026bc5d849581d171cd2b9b3b64887e3319bd4b52a63b72bb125cdde9050a4e0e4",
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6bc5d8,4a53a1,...)))}",
"address": "9fLXRjthKecc7LsHyQAF9w2DfqVbsFxsHqUBpz2ouBPYRmaBxfT",
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{
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"name": "Assault of Megiddo",
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],
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},
{
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"ergoTree": "0008cd026bc5d849581d171cd2b9b3b64887e3319bd4b52a63b72bb125cdde9050a4e0e4",
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"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6bc5d8,4a53a1,...)))}",
"address": "9fLXRjthKecc7LsHyQAF9w2DfqVbsFxsHqUBpz2ouBPYRmaBxfT",
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{
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"amount": 100000,
"name": "Lessgo",
"decimals": 1,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
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"transactionId": "1f9e8a6977dbc34099067b7f6fdde838d7acb5a0bd5d7b7ba6d4e7f414df941d",
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"index": 0,
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"ergoTreeConstants": "0: 1\n1: 3000\n2: 3000\n3: 100000\n4: 0\n5: 0\n6: 0\n7: 0\n8: 1\n9: 4\n10: 3\n11: 1\n12: 2\n13: 1\n14: SigmaProp(ProveDlog(ECPoint(593abf,75cc6c,...)))\n15: 0\n16: 0\n17: 2\n18: false\n19: false\n20: 2\n21: 2\n22: false",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val bool2 = INPUTS.filter({(box2: Box) => box2.propositionBytes == coll1 }).size == placeholder[Int](0)\n val bool3 = OUTPUTS.forall({(box3: Box) => box3.propositionBytes != coll1 })\n val i4 = SELF.R8[Int].get\n val ge5 = SELF.R4[GroupElement].get\n val prop6 = proveDlog(ge5)\n val tuple7 = SELF.R7[(Int, (Long, Long))].get\n val tuple8 = tuple7._2\n val l9 = tuple8._2\n val l10 = tuple8._1\n val l11 = l9 * if (l10 > placeholder[Long](1)) { l10 } else { placeholder[Long](2) } / placeholder[Long](3)\n val tuple12 = SELF.R6[(Coll[Byte], Long)].get\n val l13 = tuple12._2\n val coll14 = tuple12._1\n val bool15 = coll14.size == placeholder[Int](4)\n val func16 = {(box16: Box) => if (bool15) { box16.value >= l13 } else {(\n val coll18 = box16.tokens\n val tuple19 = coll18(placeholder[Int](5))\n allOf(Coll[Boolean](coll18.size > placeholder[Int](6), tuple19._1 == coll14, tuple19._2 >= l13))\n )} }\n val tuple17 = SELF.R5[(Coll[Byte], Long)].get\n val l18 = tuple17._2\n val coll19 = tuple17._1\n val i20 = SELF.creationInfo._1 + tuple7._1\n val opt21 = SELF.R9[GroupElement]\n val box22 = OUTPUTS(placeholder[Int](7))\n sigmaProp(bool2) && sigmaProp(allOf(Coll[Boolean](bool3, i4 == placeholder[Int](8)))) && prop6 || sigmaProp(if (OUTPUTS.size >= placeholder[Int](9)) {(\n val box23 = OUTPUTS(placeholder[Int](10))\n val opt24 = box23.R4[GroupElement]\n val opt25 = box23.R5[(Coll[Byte], Long)]\n val opt26 = box23.R6[(Coll[Byte], Long)]\n val opt27 = box23.R7[(Int, (Long, Long))]\n val opt28 = box23.R8[Int]\n val bool29 = box23.R9[GroupElement].isDefined\n val box30 = OUTPUTS(placeholder[Int](11))\n val box31 = OUTPUTS(placeholder[Int](12))\n if (allOf(Coll[Boolean](opt24.isDefined, opt25.isDefined, opt26.isDefined, opt27.isDefined, opt28.isDefined, bool29))) { allOf(Coll[Boolean](i4 == placeholder[Int](13), if (bool15) { SELF.value >= l13 } else { SELF.tokens.exists({(tuple32: (Coll[Byte], Long)) => allOf(Coll[Boolean](tuple32._1 == coll14, tuple32._2 >= l13)) }) }, allOf(Coll[Boolean](box30.value >= l9 - l11, box30.propositionBytes == prop6.propBytes)), allOf(Coll[Boolean](box31.value >= l11, box31.propositionBytes == placeholder[SigmaProp](14).propBytes)), func16(OUTPUTS(placeholder[Int](15))), {(box32: Box) => if (coll19.size == placeholder[Int](16)) { box32.value >= SELF.value + l18 } else { box32.tokens.exists({(tuple34: (Coll[Byte], Long)) => allOf(Coll[Boolean](tuple34._1 == coll19, tuple34._2 >= l18)) }) } }(box23), allOf(Coll[Boolean](box23.propositionBytes == coll1, opt24.get == ge5, opt25.get == tuple17, opt26.get == tuple12, opt27.get == tuple7, opt28.get == placeholder[Int](17), bool29)))) } else { placeholder[Boolean](18) }\n )} else { placeholder[Boolean](19) }) || sigmaProp(allOf(Coll[Boolean](bool3, i4 == placeholder[Int](20), HEIGHT > i20))) && prop6 || if (opt21.isDefined) {\n sigmaProp(\n allOf(Coll[Boolean](bool2, bool3, i4 == placeholder[Int](21), HEIGHT <= i20, func16(box22), box22.propositionBytes == prop6.propBytes))\n ) && proveDlog(opt21.get)\n } else { sigmaProp(placeholder[Boolean](22)) }\n}",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "4d0e008088debe01",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[,200000000]"
},
"R6": {
"serializedValue": "4d0e0080f882ad16",
"sigmaType": "(Coll[SByte], SLong)",
"renderedValue": "[,3000000000]"
},
"R8": {
"serializedValue": "0402",
"sigmaType": "SInt",
"renderedValue": "1"
},
"R7": {
"serializedValue": "4059c016f02e8084af5f",
"sigmaType": null,
"renderedValue": null
},
"R4": {
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