Transaction
ID: c11136711b...2093
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.00097 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.04851828 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0009409 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0000291 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.04741828 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 195,705
Total coins transferred: 0.04948828 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000277 ERG
Raw Transaction Data
{
"id": "c11136711b7ef7e648e0fa4ad7fe8f6ee59d819f30dbad7a3bfc99e9dbdd2093",
"blockId": "102e1f5cb057862254b8d093981bb3ec102f3beb3a1d5b9aba513a072ffcc415",
"inclusionHeight": 1571281,
"timestamp": 1752857315652,
"index": 12,
"globalIndex": 9228732,
"numConfirmations": 195705,
"inputs": [
{
"boxId": "45597ac910a1d44405de44b238700c92a203527a35008d4dff39abfd383e317b",
"value": 970000,
"index": 0,
"spendingProof": "713564b8ec945fab640a8570ef08cd468663b287e1e64f1530257d16288d53f256c14badb917c7b151c725f89ddb46cff860abf8a0123246",
"outputBlockId": "015210a0cd88f3751a88e13aa9ae47c2bcc4f1bac7c0538106a03f9abdabc1f4",
"outputTransactionId": "45ea076f658f359dd37fdd12e6777c11e088db5894965a5d4bd0d7c5b46f3cec",
"outputIndex": 0,
"outputGlobalIndex": 48959211,
"outputCreatedAt": 1571269,
"outputSettledAt": 1571270,
"ergoTree": "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",
"ergoTreeConstants": "0: 100000\n1: 3000\n2: 100000\n3: 0\n4: 10\n5: 0\n6: 0\n7: 0\n8: 34\n9: 3000\n10: 100000\n11: CBigInt(0)\n12: 10\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: SigmaProp(ProveDlog(ECPoint(593abf,75cc6c,...)))\n23: true\n24: 0\n25: true\n26: true\n27: true\n28: 0\n29: true",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val l2 = SELF.value\n val l3 = if (l2 > placeholder[Long](0)) {(\n val l3 = l2 * placeholder[Long](1) / placeholder[Long](2)\n if ((l3 > placeholder[Long](3)) && (l3 <= l2 / placeholder[Long](4))) { l3 } else { placeholder[Long](5) }\n )} else { placeholder[Long](6) }\n val bool4 = l3 > placeholder[Long](7)\n val coll5 = SELF.tokens\n val coll6 = coll5.map({(tuple6: (Coll[Byte], Long)) =>\n val l8 = tuple6._2\n (tuple6._1, if (l8 > placeholder[Long](8)) {(\n val bi9 = l8.toBigInt * placeholder[Long](9).toBigInt / placeholder[Long](10).toBigInt\n if ((bi9 > placeholder[BigInt](11)) && (bi9 <= l8 / placeholder[Long](12).toBigInt)) { bi9.toLong } else { placeholder[Long](13) }\n )} else { placeholder[Long](14) })\n }).filter({(tuple6: (Coll[Byte], Long)) => tuple6._2 > placeholder[Long](15) })\n val prop7 = proveDlog(SELF.R4[GroupElement].get)\n val coll8 = coll5.map({(tuple8: (Coll[Byte], Long)) =>\n val coll10 = tuple8._1\n val coll11 = coll6.filter({(tuple11: (Coll[Byte], Long)) => tuple11._1 == coll10 })\n (coll10, tuple8._2 - if (coll11.size > placeholder[Int](16)) { coll11(placeholder[Int](17))._2 } else { placeholder[Long](18) })\n }).filter({(tuple8: (Coll[Byte], Long)) => tuple8._2 > placeholder[Long](19) })\n sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT >= SELF.R5[Int].get, INPUTS.filter({(box9: Box) => box9.propositionBytes == coll1 }).size == placeholder[Int](20), OUTPUTS.forall(\n {(box9: Box) => box9.propositionBytes != coll1 }\n ), (\n if (bool4 || (coll6.size > placeholder[Int](21))) {\n OUTPUTS.exists(\n {(box9: Box) =>\n (\n (box9.propositionBytes == placeholder[SigmaProp](22).propBytes) && if (bool4) { box9.value >= l3 } else { placeholder[Boolean](23) }\n ) && if (coll6.size > placeholder[Int](24)) {\n coll6.forall(\n {(tuple11: (Coll[Byte], Long)) =>\n box9.tokens.exists({(tuple13: (Coll[Byte], Long)) => (tuple13._1 == tuple11._1) && (tuple13._2 >= tuple11._2) })\n }\n )\n } else { placeholder[Boolean](25) }\n }\n )\n } else { placeholder[Boolean](26) } && (\n if (bool4) { l2 >= l3 } else { placeholder[Boolean](27) } && coll6.forall(\n {(tuple9: (Coll[Byte], Long)) => coll5.exists({(tuple11: (Coll[Byte], Long)) => (tuple11._1 == tuple9._1) && (tuple11._2 >= tuple9._2) }) }\n )\n )\n ) && OUTPUTS.exists(\n {(box9: Box) =>\n ((box9.propositionBytes == prop7.propBytes) && (box9.value >= l2 - l3)) && if (coll8.size > placeholder[Int](28)) {\n coll8.forall(\n {(tuple11: (Coll[Byte], Long)) =>\n box9.tokens.exists({(tuple13: (Coll[Byte], Long)) => (tuple13._1 == tuple11._1) && (tuple13._2 >= tuple11._2) })\n }\n )\n } else { placeholder[Boolean](29) }\n }\n )\n )\n )\n ) && prop7\n}",
"address": "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",
"assets": [
{
"tokenId": "3405d8f709a19479839597f9a22a7553bdfc1a590a427572787d7c44a88b6386",
"index": 0,
"amount": 1,
"name": "love",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "07033bf7c61bd148b86fa6dd89a1d199a34173653abe20eaf468afc9302c21d906e0",
"sigmaType": "SGroupElement",
"renderedValue": "033bf7c61bd148b86fa6dd89a1d199a34173653abe20eaf468afc9302c21d906e0"
},
"R5": {
"serializedValue": "048ee7bf01",
"sigmaType": "SInt",
"renderedValue": "1571271"
}
}
},
{
"boxId": "2f651c0e23ffabf03c8812acc4eed43a0bc8d705e2b18ed154bb35791c4c34c2",
"value": 48518280,
"index": 1,
"spendingProof": "01eb8053041348d2c622921de7feff1584b0e46e15495ce21b899a9d4adaa865ba5b7563403a00e20f569c185ba3a3cb018c53679886903b",
"outputBlockId": "8125d4e1003f50b4333d9603692ed5be130eda729b4766339f125ec44fe577ed",
"outputTransactionId": "dde3dc8f1e46024bdecc74aef1473782a1fb1389142e9c29ea48ae70274433eb",
"outputIndex": 3,
"outputGlobalIndex": 48959476,
"outputCreatedAt": 1571278,
"outputSettledAt": 1571279,
"ergoTree": "0008cd033bf7c61bd148b86fa6dd89a1d199a34173653abe20eaf468afc9302c21d906e0",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3bf7c6,fab8cb,...)))}",
"address": "9gvDVNy1XvDeFoi4ZHn5v6u3tFRECMXGKbwuHbijJu6Z2hLQTQz",
"assets": [
{
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"name": "Rugged",
"decimals": 2,
"type": "EIP-004"
},
{
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},
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