Transaction
ID: 1acb7155ac...8ab0
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0004 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
210
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
13.33
Spent
Address:
Output transaction:
Settlement height:
Value:
58.16 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
14.51 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
43.65 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 625,608
Total coins transferred: 58.16 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000388 ERG
Raw Transaction Data
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"dataInputs": [],
"outputs": [
{
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"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val l3 = SELF.R7[Long].get\n val l4 = SELF.R8[Long].get\n val l5 = SELF.R9[Long].get\n val prop6 = SELF.R4[SigmaProp].get\n val coll7 = placeholder[Coll[Byte]](1)\n if (((coll2.size > placeholder[Int](2)) && (coll2(placeholder[Int](3))._1 == SELF.R5[Coll[Byte]].get)) && (\n coll2(placeholder[Int](4))._1 == SELF.R6[Coll[Byte]].get\n )) {(\n val l8 = coll2(placeholder[Int](5))._2\n val tuple9 = OUTPUTS(placeholder[Int](6)).tokens(placeholder[Int](7))\n val l10 = tuple9._2\n val l11 = l8 - l10\n val bi12 = box1.R5[Long].get.toBigInt\n val bi13 = box1.value.toBigInt * bi12 / box1.R4[Long].get - l8.toBigInt\n val box14 = OUTPUTS(placeholder[Int](8))\n if (l11 > placeholder[Long](9)) {(\n val box15 = OUTPUTS(placeholder[Int](10))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.value - l3 - l4 - l5.toBigInt >= l11.toBigInt * bi13 / bi12, allOf(\n Coll[Boolean](box14.value == l3, box14.propositionBytes == prop6.propBytes, box14.tokens(placeholder[Int](11)) == (tuple9._1, l11))\n ), allOf(Coll[Boolean](box15.value == l4, blake2b256(box15.propositionBytes) == coll7)), allOf(\n Coll[Boolean](l5 >= placeholder[Long](12), OUTPUTS(placeholder[Int](13)).value == l5)\n ), OUTPUTS.size == placeholder[Int](14)\n )\n )\n )\n )} else {(\n val bi15 = l10 - l8.toBigInt * bi13 / bi12\n val l16 = placeholder[Long](15)\n val box17 = OUTPUTS(placeholder[Int](16))\n sigmaProp(\n allOf(\n Coll[Boolean](\n l10 == l8 + SELF.tokens(placeholder[Int](17))._2, allOf(\n Coll[Boolean](\n box14.value.toBigInt == bi15 - bi15 * box1.R7[Long].get.toBigInt / l16.toBigInt - bi15 * box1.R8[\n Long\n ].get.toBigInt / l16.toBigInt, box14.propositionBytes == prop6.propBytes\n )\n ), allOf(Coll[Boolean](box17.value == l4, blake2b256(box17.propositionBytes) == coll7)), allOf(\n Coll[Boolean](l5 >= placeholder[Long](18), OUTPUTS(placeholder[Int](19)).value == l5)\n ), OUTPUTS.size == placeholder[Int](20)\n )\n )\n )\n )}\n )} else {(\n val coll8 = prop6.propBytes\n val coll9 = SELF.tokens\n sigmaProp(\n allOf(\n Coll[Boolean](\n OUTPUTS.map({(box10: Box) => if (box10.propositionBytes == coll8) { box10.value } else { placeholder[Long](21) } }).fold(\n placeholder[Long](22), {(tuple10: (Long, Long)) => tuple10._1 + tuple10._2 }\n ) >= SELF.value, if (coll9.size > placeholder[Int](23)) {\n OUTPUTS.exists({(box10: Box) => (box10.tokens == coll9) && (box10.propositionBytes == coll8) })\n } else { placeholder[Boolean](24) }\n )\n )\n ) && prop6\n )}\n}",
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"assets": [],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "6e9c85c4be018b1308ddf034baf1406490e2a9dd406c01591bd6df41e98b6057"
},
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"sigmaType": "Coll[SByte]",
"renderedValue": "cbd75cfe1a4f37f9a22eaee516300e36ea82017073036f07a09c1d2e10277cda"
},
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"sigmaType": "SLong",
"renderedValue": "1000000"
},
"R7": {
"serializedValue": "0580897a",
"sigmaType": "SLong",
"renderedValue": "1000000"
},
"R9": {
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"sigmaType": "SLong",
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},
"R4": {
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"sigmaType": "SSigmaProp",
"renderedValue": "025031ca056b8f9e910a9879059d5edf27a7322285832a60aed9655d5a0114a603"
}
},
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"mainChain": true
},
{
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"index": 1,
"globalIndex": 34508762,
"creationHeight": 1140878,
"settlementHeight": 1140880,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"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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"mainChain": true
},
{
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"index": 2,
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"creationHeight": 1140878,
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"ergoTree": "0008cd025031ca056b8f9e910a9879059d5edf27a7322285832a60aed9655d5a0114a603",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5031ca,8c2779,...)))}",
"address": "9f8NyYCwxKgfhM4vmAWt2zPkQmmfw1teG61dyQRhfrw1kLmGfnv",
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