Transaction
ID: 42057137db...5cf3
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
2,022.02 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00726 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2,022.01 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 1,050,874
Total coins transferred: 2,022.02 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001106 ERG
Raw Transaction Data
{
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"timestamp": 1648572623368,
"index": 8,
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"numConfirmations": 1050874,
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{
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],
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],
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"outputs": [
{
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"ergoTreeScript": "{\n val prop1 = placeholder[SigmaProp](0)\n val box2 = INPUTS(placeholder[Int](1))\n prop1 || sigmaProp(if ((INPUTS.size == placeholder[Int](2)) && (box2.tokens.size == placeholder[Int](3))) {(\n val coll3 = box2.tokens\n val box4 = OUTPUTS(placeholder[Int](4))\n val bi5 = box4.value - SELF.value.toBigInt * placeholder[Long](5).toBigInt / placeholder[Long](6).toBigInt\n val l6 = SELF.tokens(placeholder[Int](7))._2\n ((((coll3(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9)) && (box4.propositionBytes == prop1.propBytes)) && (bi5 >= placeholder[Long](10).toBigInt)) && (box2.value.toBigInt * l6.toBigInt * placeholder[Int](11).toBigInt <= bi5 + placeholder[BigInt](12) * coll3(placeholder[Int](13))._2.toBigInt * placeholder[Int](14).toBigInt + l6 * placeholder[Int](15).toLong.toBigInt)) && (OUTPUTS.map({(box7: Box) => if (box7.propositionBytes == placeholder[Coll[Byte]](16)) { box7.value } else { placeholder[Long](17) } }).fold(placeholder[Long](18), {(tuple7: (Long, Long)) => tuple7._1 + tuple7._2 }) <= placeholder[Long](19))\n )} else { placeholder[Boolean](20) })\n}",
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],
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"mainChain": true
},
{
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"ergoTree": "0008cd034c82ad895e56ca534d19a13d75c0f20e626520f84f61471617a36a3ba64be0f4",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4c82ad,771a16,...)))}",
"address": "9h3W3mH38vzYatVc8SLAfte6NqieNuePiYBtPYSqiWZ8mhHsvLx",
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