Transaction
ID: 7e58e0ecfc...3c98
Inputs (8)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001080517 ERG
Tokens:
2,125,362.87
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0005 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0006 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0006 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.756582632 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
1.51 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
1.25 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.98202442 ERG
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
3.87 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.173723509 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.458867692 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 527,970
Total coins transferred: 4.5 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000647 ERG
Raw Transaction Data
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},
{
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},
{
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"name": "ErgoSapien Alpha #80",
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},
{
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"index": 41,
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"name": "eVOTE3_1",
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"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "b00ac31017560d26468e918761695c2c9ed9afe5580ee2bf27f890cfd89eca9b",
"value": 982024420,
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"outputIndex": 1,
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"outputSettledAt": 1237970,
"ergoTree": "0008cd03cbc62c6a1ff34b17dfc9e1b1904e74c55303d659c45171eff3e17d6fde4db702",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(cbc62c,9026fe,...)))}",
"address": "9i1YpxgzxeBvqcqtReRZZo56iu5yUVifZqnmVf8kejNQgt9eWcK",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
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"transactionId": "7e58e0ecfc6a83f8b01d6ec3e384da2bbb8e6308e525bb0257c7091f5de63c98",
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"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(cbc62c,9026fe,...)))\n1: 0\n2: 3859694068\n3: 2\n4: 3\n5: 1\n6: 0\n7: 0\n8: Coll(-126,30,-101,103,-40,-128,65,-123,74,-3,0,68,31,-108,126,-86,56,31,-14,5,2,-55,-70,-53,-76,-118,-5,9,33,-97,33,-97)\n9: Coll(-80,-77,18,-51,-23,49,-56,-69,-38,-64,-38,-59,-65,-40,-30,-64,59,-12,97,18,117,-36,-106,121,-120,-56,-47,91,-43,-20,32,-32)\n10: 11651\n11: 5149772551712299\n12: 10000000000000\n13: 2\n14: 997\n15: CBigInt(1)\n16: 1000\n17: 3859694068\n18: 997\n19: Coll(16,5,4,0,4,0,14,54,16,2,4,-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,-89,1,115,0,115,1,16,1,2,4,2,-47,-106,-125,3,1,-109,-93,-116,-57,-78,-91,115,0,0,1,-109,-62,-78,-91,115,1,0,116,115,2,115,3,-125,1,8,-51,-18,-84)\n20: 0\n21: 0\n22: 2000000\n23: false",
"ergoTreeScript": "{\n val prop1 = placeholder[SigmaProp](0)\n val box2 = INPUTS(placeholder[Int](1))\n val l3 = placeholder[Long](2)\n prop1 || sigmaProp(if ((INPUTS.size >= placeholder[Int](3)) && (box2.tokens.size == placeholder[Int](4))) {(\n val coll4 = box2.tokens\n val box5 = OUTPUTS(placeholder[Int](5))\n val tuple6 = box5.tokens(placeholder[Int](6))\n val bi7 = tuple6._2.toBigInt\n ((((((coll4(placeholder[Int](7))._1 == placeholder[Coll[Byte]](8)) && (box5.propositionBytes == prop1.propBytes)) && (tuple6._1 == placeholder[Coll[Byte]](9))) && (bi7 >= placeholder[Long](10).toBigInt)) && (box5.value.toBigInt >= SELF.value.toBigInt - bi7 * placeholder[Long](11).toBigInt / placeholder[Long](12).toBigInt - l3.toBigInt)) && (coll4(placeholder[Int](13))._2.toBigInt * l3.toBigInt * placeholder[Int](14).toBigInt <= bi7 + placeholder[BigInt](15) * box2.value.toBigInt * placeholder[Int](16).toBigInt + placeholder[Long](17) * placeholder[Int](18).toLong.toBigInt)) && (OUTPUTS.map({(box8: Box) => if (box8.propositionBytes == placeholder[Coll[Byte]](19)) { box8.value } else { placeholder[Long](20) } }).fold(placeholder[Long](21), {(tuple8: (Long, Long)) => tuple8._1 + tuple8._2 }) <= placeholder[Long](22))\n )} else { placeholder[Boolean](23) })\n}",
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},
{
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{
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