Transaction
ID: 62ce2a6c97...f00d
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.004 ERG
Outputs (2)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 840,786
Total coins transferred: 0.004 ERG
Fees: 0.001 ERG
Fees per byte: 0.000005102 ERG
Raw Transaction Data
{
"id": "62ce2a6c975f831429f08154aa566d3abdc659a2f2d9a975698ce31e8bb7f00d",
"blockId": "a76ef7129e474ee87c305fffea2d19050ce43af300797e32e990578ec91bdc68",
"inclusionHeight": 921969,
"timestamp": 1674173130334,
"index": 16,
"globalIndex": 4642696,
"numConfirmations": 840786,
"inputs": [
{
"boxId": "7218ddaec911fe087e313cc9fd06314b82f79fbea0ff9143c9af014672e198d0",
"value": 4000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "1f81b19b4664e89458223c344b74834c6b006e22d10751dbb92bdbef08c77b5b",
"outputTransactionId": "cc07770823566c0a643f1064827f3bf588bd40d7c1237b3af886ef158d0e7060",
"outputIndex": 4,
"outputGlobalIndex": 11937057,
"outputCreatedAt": 663049,
"outputSettledAt": 663051,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-55,-23,122,84,-127,18,-69,79,106,19,117,71,3,-112,-36,-11,-45,-37,-38,21,98,-68,-61,-59,35,79,68,70,-79,105,-111,-71)\n2: 1\n3: 0\n4: true\n5: 1\n6: true\n7: false\n8: 1\n9: 0\n10: 2\n11: 1\n12: 0\n13: 2\n14: 1000\n15: 1000000\n16: 2\n17: 1\n18: 0\n19: 2\n20: 0\n21: 1000000\n22: 0\n23: 0\n24: 1000000\n25: 0\n26: 1\n27: 0\n28: 2\n29: -1\n30: 2\n31: -1\n32: 0\n33: false\n34: -1\n35: -1\n36: 0\n37: false\n38: -1\n39: 0\n40: 0\n41: -1\n42: false\n43: true\n44: 0\n45: true\n46: 0\n47: 0\n48: 0\n49: 0\n50: 0\n51: false\n52: Coll(16,28,4,0,4,2,4,0,4,2,1,0,1,0,4,0,4,1,1,0,4,2,1,0,4,0,4,2,4,0,5,2,4,2,4,4,4,4,5,0,4,0,4,0,4,0,4,0,4,0,4,0,1,0,1,0,1,1,-40,9,-42,1,-58,-89,7,17,-42,2,-58,-89,8,12,60,14,14,-42,3,-106,-125,6,1,-26,-58,-89,4,12,60,14,17,-26,-58,-89,5,12,60,14,14,-26,-58,-89)\n53: true",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val coll2 = INPUTS.filter({(box2: Box) => box2.propositionBytes == coll1 })\n val i3 = coll2.size\n val box4 = INPUTS(placeholder[Int](0))\n val coll5 = placeholder[Coll[Byte]](1)\n if (!if ((i3 > placeholder[Int](2)) && (coll2(placeholder[Int](3)).id == SELF.id)) { placeholder[Boolean](4) } else {\n if (i3 == placeholder[Int](5)) { placeholder[Boolean](6) } else { placeholder[Boolean](7) }\n }) { sigmaProp({(bool6: Boolean) => if (bool6) {(\n val coll8 = INPUTS(placeholder[Int](8)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n val coll9 = box4.R4[Coll[(Coll[Byte], Coll[Long])]].get\n val l10 = coll2.fold(placeholder[Long](9), {(tuple10: (Long, Box)) => tuple10._1 + tuple10._2.value }) - coll9.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n val coll12 = tuple10._2\n coll12(placeholder[Int](10)) < coll12(placeholder[Int](11))\n }).fold(placeholder[Long](12), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](13)) })\n val coll11 = box4.R6[Coll[(Coll[Byte], Int)]].get.map({(tuple11: (Coll[Byte], Int)) =>\n val l13 = tuple11._2.toLong * l10 / placeholder[Long](14)\n (tuple11._1, l13 - l13 % placeholder[Long](15))\n })\n val coll12 = OUTPUTS.map({(box12: Box) => box12.propositionBytes })\n val coll13 = OUTPUTS.map({(box13: Box) => box13.value })\n val l14 = coll8.filter({(tuple14: (Coll[Byte], Coll[Long])) =>\n val coll16 = tuple14._2\n coll16(placeholder[Int](16)) < coll16(placeholder[Int](17))\n }).fold(placeholder[Long](18), {(tuple14: (Long, (Coll[Byte], Coll[Long]))) => tuple14._1 + tuple14._2._2(placeholder[Int](19)) })\n ((coll8.forall({(tuple15: (Coll[Byte], Coll[Long])) =>\n val coll17 = tuple15._1\n val i18 = coll9.map({(tuple18: (Coll[Byte], Coll[Long])) => tuple18._1 }).indexOf(coll17, placeholder[Int](20))\n val coll19 = tuple15._2\n val l20 = {(l20: Long) =>\n val l22 = coll11.fold(l10, {(tuple22: (Long, (Coll[Byte], Long))) => tuple22._1 - tuple22._2._2 }) - placeholder[Long](21) * coll8.size.toLong * l20 / coll8.fold(placeholder[Long](22), {(tuple22: (Long, (Coll[Byte], Coll[Long]))) => tuple22._1 + tuple22._2._2(placeholder[Int](23)) })\n l22 - l22 % placeholder[Long](24)\n }(coll19(placeholder[Int](25)))\n val l21 = coll19(placeholder[Int](26))\n val i22 = coll12.indexOf(coll17, placeholder[Int](27))\n val l23 = coll19(placeholder[Int](28))\n if (i18 != placeholder[Int](29)) {(\n val l24 = coll9.map({(tuple24: (Coll[Byte], Coll[Long])) => tuple24._2 })(i18)(placeholder[Int](30)) + l20\n if (l24 >= l21) { if (i22 != placeholder[Int](31)) { (coll13(i22) == l24) && (l23 == placeholder[Long](32)) } else { placeholder[Boolean](33) } } else { (i22 == placeholder[Int](34)) && (l23 == l24) }\n )} else { if (l20 >= l21) { if (i22 != placeholder[Int](35)) { (coll13(i22) == l20) && (l23 == placeholder[Long](36)) } else { placeholder[Boolean](37) } } else { (i22 == placeholder[Int](38)) && (l23 == l20) } }\n }) && coll11.forall({(tuple15: (Coll[Byte], Long)) =>\n val l17 = tuple15._2\n if (l17 > placeholder[Long](39)) {(\n val i18 = coll12.indexOf(tuple15._1, placeholder[Int](40))\n if (i18 != placeholder[Int](41)) { OUTPUTS(i18).value == l17 } else { placeholder[Boolean](42) }\n )} else { placeholder[Boolean](43) }\n })) && if (l14 > placeholder[Long](44)) { OUTPUTS.exists({(box15: Box) => (box15.value == l14) && (box15.propositionBytes == coll1) }) } else { placeholder[Boolean](45) }) && if (box4.R7[Coll[Long]].get(placeholder[Int](46)) != placeholder[Long](47)) { box4.tokens(placeholder[Int](48))._1 == coll5 } else {(\n val coll15 = box4.tokens\n if (coll15.size > placeholder[Int](49)) { coll15(placeholder[Int](50))._1 == coll5 } else { box4.id == coll5 }\n )}\n )} else { placeholder[Boolean](51) } }(box4.propositionBytes == placeholder[Coll[Byte]](52))) } else { sigmaProp(placeholder[Boolean](53)) }\n}",
"address": "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",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "4f2917ce0aa7d8981f7eecbeb1e32563992088f0bf498f9942ca44708fb59da3",
"transactionId": "62ce2a6c975f831429f08154aa566d3abdc659a2f2d9a975698ce31e8bb7f00d",
"blockId": "a76ef7129e474ee87c305fffea2d19050ce43af300797e32e990578ec91bdc68",
"value": 3000000,
"index": 0,
"globalIndex": 25785298,
"creationHeight": 921967,
"settlementHeight": 921969,
"ergoTree": "0008cd0371f9794cee36ca9e9af0f0058f2c70beaa7312bbbc6312b60cb754c9ddc570f8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(71f979,c4921f,...)))}",
"address": "9hL11xHiZktWNpd2PHWSFadQrUifUTPR69bUbf5AwAggQJvdjDf",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "0374e314c4326e0b53f82765eb56816982c833df49bcfe4877a13bf0fa61782d",
"mainChain": true
},
{
"boxId": "63063d7d22ee5d1b1e91497aa11167981f8d538b3765c6352673a6bc5491e58e",
"transactionId": "62ce2a6c975f831429f08154aa566d3abdc659a2f2d9a975698ce31e8bb7f00d",
"blockId": "a76ef7129e474ee87c305fffea2d19050ce43af300797e32e990578ec91bdc68",
"value": 1000000,
"index": 1,
"globalIndex": 25785299,
"creationHeight": 921967,
"settlementHeight": 921969,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"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",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "2f7602936ded36179722b5f6901a9eaa7a7cd6761551f146e8020c2d6e22877b",
"mainChain": true
}
],
"size": 196,
"isUnconfirmed": false
}