Transaction
ID: e99326a0ce...bb1d
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0021 ERG
Outputs (2)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 522,210
Total coins transferred: 0.0021 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000603 ERG
Raw Transaction Data
{
"id": "e99326a0ceead99a493b681b8ab87f50ecf0a0df45acdebf5a3f0821d87fbb1d",
"blockId": "a1a49ec06ce3c2a2fa6c4178e1720394e8ba718490fab2af85151c72a5ffec1b",
"inclusionHeight": 1241786,
"timestamp": 1712971333514,
"index": 1,
"globalIndex": 7006050,
"numConfirmations": 522210,
"inputs": [
{
"boxId": "e1f71779f921df493584d34119260e64698bb99bab8874a7c78955561d7492e3",
"value": 2100000,
"index": 0,
"spendingProof": "73549a86f090bf68354cbdf1691db725f6eb06c275e556b7f2a9b805509ad394cef37f033e8e5fec6c823a88ba788049b315fa93a28ef59a",
"outputBlockId": "1cb3936a7b9f24063d7f8363cea226671f80b1244ebb993bc38342ef5b44c64e",
"outputTransactionId": "35e8dbec8e0f98258b5642bc8e4c65647fb6f63d0abe4d1f4f66c0c75852ec55",
"outputIndex": 0,
"outputGlobalIndex": 38564214,
"outputCreatedAt": 1231390,
"outputSettledAt": 1231392,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 3\n2: 0\n3: 6\n4: 0\n5: 0\n6: 0\n7: 1\n8: 0\n9: 2\n10: 0\n11: 0\n12: CBigInt(1000)\n13: CBigInt(1000000)\n14: 2\n15: 0\n16: 0\n17: 2\n18: 100\n19: 4\n20: 100\n21: 0\n22: 0\n23: 0\n24: 100\n25: 500\n26: 1000\n27: 2000\n28: 4000\n29: 9000\n30: 13000\n31: 20000\n32: 30000\n33: 40000\n34: 50000\n35: 70000\n36: 110000\n37: 140000\n38: 170000\n39: 210000\n40: 250000\n41: 300000\n42: 500000\n43: 1000000\n44: 10000000\n45: 1\n46: 0\n47: 1\n48: 0\n49: 0\n50: 1\n51: CBigInt(1)\n52: CBigInt(0)\n53: 4\n54: 0\n55: 1775840000\n56: CBigInt(0)\n57: 1\n58: CBigInt(177584)\n59: CBigInt(1)\n60: 1\n61: 0\n62: 2\n63: 177584000\n64: 10000\n65: CBigInt(100)\n66: 0\n67: Coll(-41,-122,-123,51,-14,109,-79,-79,114,-116,31,-123,-62,50,106,60,3,39,-75,125,-38,-79,78,65,-94,-73,122,93,76,32,-12,-78)\n68: Coll(-41,22,-109,-60,-102,-124,-5,-66,-51,73,8,-55,72,19,-76,101,20,-79,-117,103,-87,-103,82,-36,30,110,71,-111,85,109,-28,19)\n69: 1000000\n70: 0\n71: false\n72: 2\n73: 2\n74: 3\n75: 3\n76: 4\n77: false\n78: 0\n79: 2\n80: false",
"ergoTreeScript": "{\n val prop1 = SELF.R4[SigmaProp].get\n val l2 = CONTEXT.preHeader.timestamp\n val box3 = SELF.R5[Box].get\n val coll4 = box3.R8[Coll[Long]].get\n val l5 = coll4(placeholder[Int](0))\n val coll6 = SELF.R6[Coll[Long]].get\n val l7 = l5 - coll6(placeholder[Int](1))\n val box8 = OUTPUTS(placeholder[Int](2))\n val coll9 = box8.propositionBytes\n val l10 = coll4(placeholder[Int](3))\n val coll11 = box3.id\n val tuple12 = (Coll[Byte](), placeholder[Long](4))\n val tuple13 = SELF.tokens.getOrElse(placeholder[Int](5), tuple12)\n val tuple14 = box8.tokens.getOrElse(placeholder[Int](6), tuple12)\n val l15 = tuple14._2\n val coll16 = SELF.R7[Coll[Byte]].get\n val l17 = SELF.value\n val tuple18 = OUTPUTS(placeholder[Int](7)).tokens.getOrElse(placeholder[Int](8), tuple12)\n val l19 = tuple13._2\n val coll20 = prop1.propBytes\n val l21 = coll4(placeholder[Int](9))\n val bool22 = coll4(placeholder[Int](10)) == placeholder[Long](11)\n val bi23 = placeholder[BigInt](12)\n val bi24 = placeholder[BigInt](13)\n prop1 || sigmaProp(if (((l2 <= l7) && (INPUTS.size == placeholder[Int](14))) && (CONTEXT.dataInputs.size > placeholder[Int](15))) {(\n val box25 = CONTEXT.dataInputs(placeholder[Int](16))\n val coll26 = box25.tokens\n val tuple27 = coll26(placeholder[Int](17))\n val l28 = l19 - l15\n val l29 = box25.value / tuple27._2 / placeholder[Long](18)\n val l30 = coll4(placeholder[Int](19)) * placeholder[Long](20)\n val l31 = if (bool22) { max(placeholder[Long](21), l29 - l30 * l21) } else { max(placeholder[Long](22), l30 - l29 * l21) }\n val coll32 = Coll[Long](placeholder[Long](23), placeholder[Long](24), placeholder[Long](25), placeholder[Long](26), placeholder[Long](27), placeholder[Long](28), placeholder[Long](29), placeholder[Long](30), placeholder[Long](31), placeholder[Long](32), placeholder[Long](33), placeholder[Long](34), placeholder[Long](35), placeholder[Long](36), placeholder[Long](37), placeholder[Long](38), placeholder[Long](39), placeholder[Long](40), placeholder[Long](41), placeholder[Long](42), placeholder[Long](43), placeholder[Long](44))\n val coll33 = coll32.map({(l33: Long) => l33 * l33 }).zip(coll32)\n val func34 = {(l34: Long) =>\n val i36 = coll33.map({(tuple36: (Long, Long)) => if (tuple36._1 >= l34) { placeholder[Long](45) } else { placeholder[Long](46) } }).indexOf(placeholder[Long](47), placeholder[Int](48))\n val tuple37 = coll33(i36)\n if (i36.toLong > placeholder[Long](49)) {(\n val tuple38 = coll33(i36 - placeholder[Int](50))\n val l39 = tuple38._2\n val l40 = tuple38._1\n max(placeholder[BigInt](51), l39.toBigInt + tuple37._2 - l39.toBigInt * l34 - l40.toBigInt / tuple37._1 - l40.toBigInt)\n )} else { placeholder[BigInt](52) }\n }\n val bi35 = func34(l5 - l2)\n val bi36 = placeholder[Long](53) * coll6(placeholder[Int](54)).toBigInt * l21.toBigInt * l30.toBigInt * bi35 / placeholder[Int](55).toBigInt\n val bi37 = max(placeholder[BigInt](56), bi36 - bi36 * coll6(placeholder[Int](57)).toBigInt * func34(max(l29 - l30, l30 - l29)) * placeholder[BigInt](58) / bi23 * func34(l30) * max(placeholder[BigInt](59), bi35))\n val bi38 = if (coll4(placeholder[Int](60)) == placeholder[Long](61)) { l31.toBigInt + bi37 } else { l31.toBigInt + bi37 + bi37 * coll6(placeholder[Int](62)).toBigInt * bi35 / placeholder[Int](63).toBigInt }\n val bi39 = max(bi24, bi38 - bi38 % placeholder[Long](64).toBigInt)\n val bi40 = l28.toBigInt * if (bool22) { min(l29 * l21.toBigInt, bi39) } else { min(l30 * l21.toBigInt, bi39) } / placeholder[BigInt](65)\n (((((((((coll26(placeholder[Int](66))._1 == placeholder[Coll[Byte]](67)) && (tuple27._1 == placeholder[Coll[Byte]](68))) && if (coll9 == SELF.propositionBytes) { ((((((coll11 == tuple13._1) && (box8.value >= l10 + placeholder[Long](69))) && ((tuple14._1 == coll11) || (l15 == placeholder[Long](70)))) && (box8.R4[SigmaProp].get == prop1)) && (box8.R5[Box].get == box3)) && (box8.R6[Coll[Long]].get == coll6)) && (box8.R7[Coll[Byte]].get == coll16) } else { placeholder[Boolean](71) }) && (box8.value == l17)) && (tuple18._1 == coll11)) && (tuple18._2 == l28)) && (OUTPUTS(placeholder[Int](72)).propositionBytes == coll20)) && (OUTPUTS(placeholder[Int](73)).value.toBigInt >= max(bi24, bi40))) && (OUTPUTS(placeholder[Int](74)).propositionBytes == coll16)) && (OUTPUTS(placeholder[Int](75)).value.toBigInt >= max(bi24, bi40 * coll6(placeholder[Int](76)).toBigInt / bi23))\n )} else { placeholder[Boolean](77) } || if ((l2 > l7) || (l19 == placeholder[Long](78))) { (((coll9 == coll20) && (box8.value >= l17 - l10)) && (tuple14 == tuple13)) && (OUTPUTS.size == placeholder[Int](79)) } else { placeholder[Boolean](80) })\n}",
"address": "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",
"assets": [
{
"tokenId": "3e378488a680fc986e190647cf048c93467e56ac230367267c1fa91b1644cf30",
"index": 0,
"amount": 1300,
"name": "Put_A_ergopad_ERG_1100000_2024-04-28_per_1000",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "08cd02f9a9e7f02c88aaac03cb979b918f3429d3701d5f754e743c04eac60d2179330d",
"sigmaType": "SSigmaProp",
"renderedValue": "02f9a9e7f02c88aaac03cb979b918f3429d3701d5f754e743c04eac60d2179330d"
},
"R5": {
"serializedValue": "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",
"sigmaType": null,
"renderedValue": null
},
"R6": {
"serializedValue": "1105c00cd804c80180e8dd0d04",
"sigmaType": "Coll[SLong]",
"renderedValue": "[800,300,100,14400000,2]"
},
"R7": {
"serializedValue": "0e240008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "fe5eefa5233c8dd44b5d4fdc019d0d9adc99a4948c0af62086ac2fa336c8e4f1",
"transactionId": "e99326a0ceead99a493b681b8ab87f50ecf0a0df45acdebf5a3f0821d87fbb1d",
"blockId": "a1a49ec06ce3c2a2fa6c4178e1720394e8ba718490fab2af85151c72a5ffec1b",
"value": 1000000,
"index": 0,
"globalIndex": 39153981,
"creationHeight": 1241783,
"settlementHeight": 1241786,
"ergoTree": "0008cd02f9a9e7f02c88aaac03cb979b918f3429d3701d5f754e743c04eac60d2179330d",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(f9a9e7,f0bed1,...)))}",
"address": "9gR1qcnACjxY18c41kvGUpSiUu5W7wtpddpiBKoApS3eVzcTy5W",
"assets": [
{
"tokenId": "3e378488a680fc986e190647cf048c93467e56ac230367267c1fa91b1644cf30",
"index": 0,
"amount": 1300,
"name": "Put_A_ergopad_ERG_1100000_2024-04-28_per_1000",
"decimals": 2,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "08cd02f9a9e7f02c88aaac03cb979b918f3429d3701d5f754e743c04eac60d2179330d",
"sigmaType": "SSigmaProp",
"renderedValue": "02f9a9e7f02c88aaac03cb979b918f3429d3701d5f754e743c04eac60d2179330d"
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},
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"sigmaType": "Coll[SLong]",
"renderedValue": "[800,300,100,14400000,2]"
},
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6"
}
},
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},
{
"boxId": "3d88c7076f88f37ad4507a116366014964f05fcb5fd6875e5ecec9b664702336",
"transactionId": "e99326a0ceead99a493b681b8ab87f50ecf0a0df45acdebf5a3f0821d87fbb1d",
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"value": 1100000,
"index": 1,
"globalIndex": 39153982,
"creationHeight": 1241783,
"settlementHeight": 1241786,
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"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",
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"spentTransactionId": "21fe0f460990c1cac60066dba1ca023e7f6861dc3a2cfe70f3868d4cee234f7d",
"mainChain": true
}
],
"size": 1823,
"isUnconfirmed": false
}