Transaction
ID: 873db71a43...acd7
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
69.15 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0035 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
69.14 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 332,574
Total coins transferred: 69.15 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000295 ERG
Raw Transaction Data
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 1000000\n3: 30\n4: 0\n5: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n6: Coll(73,50,-62,-121,84,-14,-28,-6,-72,-24,90,-8,-18,61,-21,91,-66,73,36,-73,88,84,102,-46,13,-18,-44,-55,-98,65,-111,-94)\n7: 0\n8: 8\n9: 1\n10: 0\n11: 0\n12: 0\n13: 8\n14: 8\n15: 8\n16: 8\n17: 8\n18: 8\n19: 2\n20: 1\n21: 8\n22: 16\n23: 0\n24: 0\n25: 0\n26: 0\n27: Coll(9,7,125,68,-105,51,108,7,79,113,34,107,126,78,64,3,27,-47,72,-95,43,-24,-122,-110,-40,28,43,-35,-42,27,82,-18)\n28: 0\n29: 0\n30: 6\n31: 38\n32: 0\n33: 0\n34: 0\n35: 1\n36: 1\n37: 1\n38: 1000000\n39: 2\n40: 0\n41: 6\n42: 37\n43: 6\n44: 37\n45: 5\n46: 6\n47: 37\n48: 1\n49: -3\n50: 2\n51: 0\n52: 0\n53: true",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n sigmaProp(if (box1.id == SELF.id) {(\n val box2 = OUTPUTS(placeholder[Int](1))\n allOf(Coll[Boolean](box2.value >= SELF.value - placeholder[Long](2), box2.tokens == SELF.tokens, box2.propositionBytes == SELF.R4[Coll[Byte]].get, CONTEXT.preHeader.height >= SELF.creationInfo._1 + placeholder[Int](3)))\n )} else {(\n val box2 = CONTEXT.dataInputs(placeholder[Int](4))\n val coll3 = box1.tokens\n val coll4 = box2.R4[AvlTree].get.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6)), getVar[Coll[Byte]](0.toByte).get)\n val coll5 = SELF.R5[Coll[Byte]].get\n val coll6 = coll5.slice(placeholder[Int](7), coll5.size / placeholder[Int](8) - placeholder[Int](9)).indices\n val avlTree7 = box1.R4[Coll[AvlTree]].get(placeholder[Int](10))\n val coll8 = SELF.tokens(placeholder[Int](11))._1\n val coll9 = Coll[(Coll[Byte], Coll[Byte])]((coll8, coll5))\n val tuple10 = coll9(placeholder[Int](12))\n val coll11 = getVar[Coll[Byte]](1.toByte).get\n val coll12 = coll6.map({(i12: Int) =>\n val i14 = i12 * placeholder[Int](13) + placeholder[Int](14)\n byteArrayToLong(avlTree7.get(tuple10._1, coll11).get.slice(i14, i14 + placeholder[Int](15)))\n })\n val coll13 = coll6.map({(i13: Int) =>\n val i15 = i13 * placeholder[Int](16) + placeholder[Int](17)\n byteArrayToLong(tuple10._2.slice(i15, i15 + placeholder[Int](18)))\n })\n val box14 = OUTPUTS(placeholder[Int](19))\n val coll15 = box14.tokens\n val coll16 = coll4(placeholder[Int](20)).get\n val bool17 = byteArrayToLong(coll5.slice(placeholder[Int](21), placeholder[Int](22))) > placeholder[Long](23)\n val avlTree18 = OUTPUTS(placeholder[Int](24)).R4[Coll[AvlTree]].get(placeholder[Int](25))\n allOf(Coll[Boolean](box2.tokens(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll3(placeholder[Int](28))._1 == coll4(placeholder[Int](29)).get.slice(placeholder[Int](30), placeholder[Int](31)), coll12(placeholder[Int](32)) - coll13(placeholder[Int](33)) == coll15.fold(placeholder[Long](34), {(tuple19: (Long, (Coll[Byte], Long))) =>\n val tuple21 = tuple19._2\n val l22 = tuple19._1\n if (tuple21._1 == coll3(placeholder[Int](35))._1) { l22 + tuple21._2 } else { l22 }\n }), coll12(placeholder[Int](36)) - coll13(placeholder[Int](37)) == box14.value - placeholder[Long](38), coll3.slice(placeholder[Int](39), coll3.size).forall({(tuple19: (Coll[Byte], Long)) =>\n val coll21 = tuple19._1\n val i22 = coll16.slice(placeholder[Int](40), coll16.size - placeholder[Int](41) / placeholder[Int](42)).indices.map({(i22: Int) => coll16.slice(placeholder[Int](43) + placeholder[Int](44) * i22 + placeholder[Int](45), placeholder[Int](46) + placeholder[Int](47) * i22 + placeholder[Int](48)) }).indexOf(coll21, placeholder[Int](49)) + placeholder[Int](50)\n coll15.fold(placeholder[Long](51), {(tuple23: (Long, (Coll[Byte], Long))) =>\n val tuple25 = tuple23._2\n val l26 = tuple23._1\n if (tuple25._1 == coll21) { l26 + tuple25._2 } else { l26 }\n }) == coll12(i22) - coll13(i22)\n }), if (bool17) { coll15(placeholder[Int](52))._1 == coll8 } else { placeholder[Boolean](53) }, if (bool17) { avlTree7.update(coll9, coll11).get.digest == avlTree18.digest } else { avlTree7.remove(Coll[Coll[Byte]](coll8), getVar[Coll[Byte]](2.toByte).get).get.digest == avlTree18.digest }, box14.propositionBytes == SELF.R4[Coll[Byte]].get))\n )})\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Walrus DAO Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 1000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03482f2523bd6dac124f216d64753227f8915b8a6f88237d2141c024b3ff41b04d",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03482f2523bd6dac124f216d64753227f8915b8a6f88237d2141c024b3ff41b04d"
},
"R5": {
"serializedValue": "0e180000018ec55b887d00000000000000000000000000000000",
"sigmaType": "Coll[SByte]",
"renderedValue": "0000018ec55b887d00000000000000000000000000000000"
}
},
"spentTransactionId": "8ae97152e5144fc47fba372579cb80ebeebdbac91c1d35b174b7108685df31b3",
"mainChain": true
},
{
"boxId": "d9af3851855607a2ee0127e33ea07088c423f0e07f8f9f87f1edabcfca7ebb8c",
"transactionId": "873db71a436152b2faa62b31d7cb6108c0dabb991fd343ed4e312486efcbacd7",
"blockId": "3be3d51af435da0faa2bcb5617c1c1715d38a648f8ef440dfaa6ceac04a6ccdc",
"value": 1000000,
"index": 1,
"globalIndex": 45285581,
"creationHeight": 1430671,
"settlementHeight": 1430673,
"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)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "95d466f71b3cda57e3bbae74ba29ef8465cc696139a9f9d23abd580781ea7842",
"mainChain": true
},
{
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"transactionId": "873db71a436152b2faa62b31d7cb6108c0dabb991fd343ed4e312486efcbacd7",
"blockId": "3be3d51af435da0faa2bcb5617c1c1715d38a648f8ef440dfaa6ceac04a6ccdc",
"value": 69141975106,
"index": 2,
"globalIndex": 45285582,
"creationHeight": 1430671,
"settlementHeight": 1430673,
"ergoTree": "0008cd03482f2523bd6dac124f216d64753227f8915b8a6f88237d2141c024b3ff41b04d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(482f25,17bea9,...)))}",
"address": "9h1bYDECA16P3BvJJxDVPWHUuhJtsrrA38qeqKjvfM7xcuSmoYC",
"assets": [
{
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"index": 0,
"amount": 2000274053,
"name": "eVOTE2",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
"index": 1,
"amount": 99997000,
"name": "bPaideia",
"decimals": 4,
"type": "EIP-004"
},
{
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"name": "CYPX",
"decimals": 4,
"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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},
{
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},
{
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},
{
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"name": "Bober Voting Token",
"decimals": 0,
"type": "EIP-004"
},
{
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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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},
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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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"type": "EIP-004"
},
{
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