Transaction
ID: 57d3d889f2...949e
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001081187 ERG
Tokens:
52,645,243.66
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001080393 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
6.59 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00606 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
6.58 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 516,665
Total coins transferred: 6.59 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000566 ERG
Raw Transaction Data
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},
{
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},
{
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"name": "ergopad Stake Key",
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},
{
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},
{
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"amount": 9223372036854776000,
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},
{
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"index": 67,
"amount": 9223372036854776000,
"name": "Mi Goreng _ERG_Mi Goreng _LP_YF",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
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"transactionId": "57d3d889f2799993aadcf21c8e74ad0c46670b06b6087f8f4d26daa809d4949e",
"blockId": "3e93e35c2f92e657ef8431320ac86f2e30722413871e9f71a82fee2774595e6b",
"value": 6060000,
"index": 0,
"globalIndex": 39816744,
"creationHeight": 1257410,
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"ergoTree": "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",
"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(d83880,b81cb2,...)))\n1: 0\n2: 2\n3: 4\n4: 1\n5: 1\n6: 9223372036854775807\n7: 2\n8: 0\n9: 3\n10: 1\n11: 0\n12: 0\n13: Coll(49,-84,10,52,-82,26,-92,115,-35,-50,-85,-31,100,116,73,-55,-49,-40,75,-85,46,-99,84,-36,-32,-14,-1,10,-68,-45,-116,-118)\n14: 1\n15: 6000000\n16: 2\n17: 1\n18: 2\n19: 1\n20: true\n21: false\n22: 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)\n23: 0\n24: 0\n25: 2000000\n26: false",
"ergoTreeScript": "{\n val prop1 = placeholder[SigmaProp](0)\n val box2 = INPUTS(placeholder[Int](1))\n val coll3 = SELF.tokens\n prop1 || sigmaProp(if ((INPUTS.size >= placeholder[Int](2)) && (box2.tokens.size == placeholder[Int](3))) {(\n val coll4 = box2.tokens\n val box5 = OUTPUTS(placeholder[Int](4))\n val tuple6 = coll4(placeholder[Int](5))\n val bi7 = placeholder[Long](6) - tuple6._2.toBigInt\n val tuple8 = coll4(placeholder[Int](7))\n val bi9 = tuple8._2.toBigInt\n val bi10 = coll3(placeholder[Int](8))._2.toBigInt * bi7 / bi9\n val tuple11 = coll4(placeholder[Int](9))\n val bi12 = tuple11._2.toBigInt\n val bi13 = coll3(placeholder[Int](10))._2.toBigInt * bi7 / bi12\n val coll14 = box5.tokens\n val tuple15 = coll14(placeholder[Int](11))\n ((((((coll4(placeholder[Int](12)) == (placeholder[Coll[Byte]](13), placeholder[Long](14))) && (box5.propositionBytes == prop1.propBytes)) && (box5.value >= SELF.value - placeholder[Long](15))) && if ((bi10 < bi13) && (coll14.size == placeholder[Int](16))) {(\n val tuple16 = coll14(placeholder[Int](17))\n (tuple16._1 == tuple11._1) && (tuple16._2.toBigInt >= bi13 - bi10 * bi12 / bi7)\n )} else { if ((bi10 > bi13) && (coll14.size == placeholder[Int](18))) {(\n val tuple16 = coll14(placeholder[Int](19))\n (tuple16._1 == tuple8._1) && (tuple16._2.toBigInt >= bi10 - bi13 * bi9 / bi7)\n )} else { if (bi10 == bi13) { placeholder[Boolean](20) } else { placeholder[Boolean](21) } } }) && (tuple15._1 == tuple6._1)) && (tuple15._2.toBigInt >= min(bi10, bi13))) && (OUTPUTS.map({(box16: Box) => if (box16.propositionBytes == placeholder[Coll[Byte]](22)) { box16.value } else { placeholder[Long](23) } }).fold(placeholder[Long](24), {(tuple16: (Long, Long)) => tuple16._1 + tuple16._2 }) <= placeholder[Long](25))\n )} else { placeholder[Boolean](26) })\n}",
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"assets": [
{
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"index": 0,
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"type": "EIP-004"
},
{
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e0643726f6f6b73",
"sigmaType": "Coll[SByte]",
"renderedValue": "43726f6f6b73"
}
},
"spentTransactionId": "2754ea77823ab9f8b773ee57911bb082113b8e5c68d7fe1ab2c5e58b966015e9",
"mainChain": true
},
{
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"transactionId": "57d3d889f2799993aadcf21c8e74ad0c46670b06b6087f8f4d26daa809d4949e",
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"index": 1,
"globalIndex": 39816745,
"creationHeight": 1257410,
"settlementHeight": 1257413,
"ergoTree": "0008cd03d83880c3ec73615653f342f330db08ee7b73f51cd22776bfd068a4878a16a250",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d83880,b81cb2,...)))}",
"address": "9i72kzsEGC7S84y1ZYyfgMcqhBDLzQSVTTNfZDbcYLM6Yy1tKFc",
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