Transaction
ID: 7cfbd23ba8...7659
Inputs (20)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.028101323 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
30 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
23 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
50 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
30 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
15 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
50 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
100 ERG
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
150.01 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
147.74 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.3 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Transaction Details
Confirmations: 545,121
Total coins transferred: 298.06 ERG
Fees: 0.005 ERG
Fees per byte: 0.000001401 ERG
Raw Transaction Data
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 1\n5: 0\n6: 0\n7: 3\n8: 0\n9: 3\n10: 2\n11: 2\n12: 0\n13: 0\n14: 0\n15: 0\n16: 1\n17: 1000\n18: 1000\n19: 1000\n20: false\n21: 0\n22: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val coll9 = SELF.R7[Coll[Byte]].get\n val box10 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll11 = box10.tokens\n val coll12 = Coll[Byte]()\n val l13 = box10.value\n val tuple14 = (coll12, l13)\n val tuple15 = coll11.getOrElse(placeholder[Int](5), tuple14)\n val tuple16 = SELF.R8[Coll[(Coll[Byte], Long)]].get(placeholder[Int](6))\n proveDlog(decodePoint(coll1.slice(placeholder[Int](7), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box17 = OUTPUTS(placeholder[Int](8))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](9), box17.tokens == SELF.tokens, box17.value >= SELF.value - placeholder[Long](10) * box5.R6[Long].get, box17.propositionBytes == coll1))\n )} else {(\n val box17 = OUTPUTS.getOrElse(placeholder[Int](11), SELF)\n val coll18 = coll12\n val tuple19 = box17.tokens.getOrElse(placeholder[Int](12), (coll18, box17.value))\n val box20 = box10\n val coll21 = coll11\n val l22 = l13\n val tuple23 = tuple14\n val tuple24 = tuple15\n val box25 = OUTPUTS.getOrElse(placeholder[Int](13), SELF)\n val tuple26 = box25.tokens.getOrElse(placeholder[Int](14), (coll18, placeholder[Long](15)))\n allOf(Coll[Boolean](INPUTS.filter({(box27: Box) => box27.propositionBytes == SELF.propositionBytes }).size == placeholder[Int](16), (tuple19._2 >= l8 * placeholder[Int](17) - i6.toLong / placeholder[Long](18)) && (tuple19._1 == coll9), ((box20.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple24._2 >= l8 * i6.toLong / placeholder[Long](19))) && (tuple24._1 == coll9), ((tuple16._1 == tuple26._1) && (tuple26._2 >= tuple16._2)) && (box25.propositionBytes == coll1)))\n )} } else { placeholder[Boolean](20) }) && sigmaProp(box5.tokens(placeholder[Int](21))._1 == placeholder[Coll[Byte]](22))\n}",
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"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "59d4dccd9ac563d4ecb1dbc963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1710095972138,1710700772138]"
},
"R6": {
"serializedValue": "110380f092cbdd080002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[150000000000,0,1]"
},
"R8": {
"serializedValue": "0c4d0e02205b1c1438e35798e8118ca60c94f99eb785a363216053b96e023a6e92ed09539c020000",
"sigmaType": "Coll[(Coll[SByte], SLong)]",
"renderedValue": "[[5b1c1438e35798e8118ca60c94f99eb785a363216053b96e023a6e92ed09539c,1],[,0]]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
"serializedValue": "0e240008cd02bc69a7d96dfd0523d74e3e2cc62ec6481bd4867cb5b3e2a72837131542cd45b0",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02bc69a7d96dfd0523d74e3e2cc62ec6481bd4867cb5b3e2a72837131542cd45b0"
}
},
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"mainChain": true
},
{
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"index": 1,
"globalIndex": 37829477,
"creationHeight": 1217974,
"settlementHeight": 1217977,
"ergoTree": "0008cd02bc69a7d96dfd0523d74e3e2cc62ec6481bd4867cb5b3e2a72837131542cd45b0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bc69a7,79f7c4,...)))}",
"address": "9fx3GKmJYtexVMSBdc7VBpVnQc24xdDjLFszxWjtEhiSM9UskCz",
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{
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{
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{
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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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}
],
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}