Transaction
ID: 236f496a20...bb2a
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0063 ERG
Tokens:
Loading assets...
Outputs (3)
Unspent
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: 847,370
Total coins transferred: 0.0063 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000384 ERG
Raw Transaction Data
{
"id": "236f496a20a0a30b427dc4d02655e2795c52fb97abe8383cfe50abc51feebb2a",
"blockId": "f4dec471e2b4a19ae481ac0af3bd093756d4ebdf76570fe896242fa952eb78ac",
"inclusionHeight": 928174,
"timestamp": 1674928324929,
"index": 6,
"globalIndex": 4680708,
"numConfirmations": 847370,
"inputs": [
{
"boxId": "7d8611b93cacdcaa84ac8fa1cda9336d29fc2bef6253483cbe77067701ee3414",
"value": 6300000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f4dec471e2b4a19ae481ac0af3bd093756d4ebdf76570fe896242fa952eb78ac",
"outputTransactionId": "8bad7a33c645098d520982506c01803c6313f3ab67e7a71377787833ea1b9284",
"outputIndex": 0,
"outputGlobalIndex": 26041816,
"outputCreatedAt": 928170,
"outputSettledAt": 928174,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 1\n7: 0\n8: 0\n9: 2\n10: 6\n11: 4\n12: 1\n13: 1\n14: 1\n15: 0\n16: 86400000\n17: 11100000\n18: false\n19: 0\n20: 1\n21: 2\n22: 1\n23: 3\n24: 86400000\n25: 1\n26: 2\n27: 1\n28: 3300000\n29: 20000000\n30: 1\n31: 1\n32: 0\n33: false\n34: 2\n35: 4\n36: 1\n37: 0\n38: 2\n39: 0\n40: 0\n41: 0\n42: 1\n43: 0\n44: 0\n45: 1\n46: 3\n47: 0\n48: false\n49: 1\n50: 3\n51: 1100000\n52: 10000000\n53: 1\n54: 10000000\n55: 1\n56: 1\n57: false\n58: 0\n59: 11100000\n60: 1100000\n61: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val tuple2 = (Coll[Byte](), placeholder[Long](0))\n val tuple3 = coll1.getOrElse(placeholder[Int](1), tuple2)\n val coll4 = tuple3._1\n val box5 = SELF.R7[Box].get\n val bool6 = (coll4 == box5.id) && (SELF.propositionBytes == box5.propositionBytes)\n val box7 = if (bool6) { box5 } else { SELF }\n val coll8 = box7.R9[Coll[Coll[Byte]]].get\n val prop9 = proveDlog(decodePoint(coll8(placeholder[Int](2))))\n val bool10 = !bool6\n val box11 = OUTPUTS(placeholder[Int](3))\n val coll12 = box11.propositionBytes\n val coll13 = prop9.propBytes\n val bool14 = coll12 == coll13\n val coll15 = box7.R8[Coll[Long]].get\n val l16 = coll15(placeholder[Int](4))\n val l17 = CONTEXT.preHeader.timestamp\n val coll18 = box11.tokens\n val tuple19 = coll18.getOrElse(placeholder[Int](5), tuple2)\n val coll20 = tuple19._1\n val bool21 = coll12 == SELF.propositionBytes\n val tuple22 = coll18.getOrElse(placeholder[Int](6), tuple2)\n val coll23 = box7.R5[Coll[Byte]].get\n val bool24 = coll15(placeholder[Int](7)) == placeholder[Long](8)\n val l25 = tuple3._2\n val l26 = coll15(placeholder[Int](9))\n val l27 = tuple19._2\n val l28 = SELF.value\n val l29 = coll15(placeholder[Int](10))\n val l30 = coll15(placeholder[Int](11))\n val box31 = OUTPUTS(placeholder[Int](12))\n val coll32 = box31.tokens\n val bool33 = l17 > l16\n val bool34 = bool6 && (l25 == placeholder[Long](13))\n val bool35 = if (coll15(placeholder[Int](14)) == placeholder[Long](15)) { (bool34 && bool33) && (l17 < l16 + placeholder[Long](16)) } else {\n bool34 && (l17 <= l16)\n }\n val l36 = box11.value\n val bool37 = if (bool21) {\n (\n (((l36 >= placeholder[Long](17)) && (box11.R4[Coll[Byte]].get == box7.R4[Coll[Byte]].get)) && (box11.R5[Coll[Byte]].get == coll23)) && (\n box11.R6[Coll[Byte]].get == box7.R6[Coll[Byte]].get\n )\n ) && (box11.R7[Box].get == box7)\n } else { placeholder[Boolean](18) }\n val tuple38 = coll32.getOrElse(placeholder[Int](19), tuple2)\n val coll39 = tuple38._1\n val l40 = tuple38._2\n val tuple41 = coll1.getOrElse(placeholder[Int](20), tuple2)\n prop9 && sigmaProp((bool10 && (OUTPUTS.size == placeholder[Int](21))) && bool14) || sigmaProp(\n (\n (\n if (((bool10 && (INPUTS.size == placeholder[Int](22))) && (OUTPUTS.size == placeholder[Int](23))) && (l16 - l17 >= placeholder[Long](24))) {\n (\n (\n (\n (bool21 && (coll20 == SELF.id)) && (\n (\n (((bool24 && (tuple22._1 == coll23)) && (tuple22 == tuple3)) && (l27 == l25 / l26 + placeholder[Long](25))) && (\n coll18.size == placeholder[Int](26)\n )\n ) || (\n ((!bool24) && (coll18.size == placeholder[Int](27))) && (\n l27 == l28 - placeholder[Long](28) - l29 - placeholder[Long](29) / l30 * l26 + placeholder[Long](30)\n )\n )\n )\n ) && (box31.propositionBytes == coll8(placeholder[Int](31)))\n ) && (coll32.size == placeholder[Int](32))\n ) && (box31.value >= l29)\n } else { placeholder[Boolean](33) } || if ((bool35 && (INPUTS.size == placeholder[Int](34))) && (OUTPUTS.size == placeholder[Int](35))) {(\n val l42 = if (bool24) { l25 - l27 } else { l28 - l36 }\n val l43 = if (bool24) { l42 / l26 } else { l42 / l30 * l26 }\n val tuple44 = INPUTS(placeholder[Int](36)).tokens.getOrElse(placeholder[Int](37), tuple2)\n val box45 = OUTPUTS(placeholder[Int](38))\n val coll46 = box45.tokens\n val tuple47 = coll46.getOrElse(placeholder[Int](39), tuple2)\n (\n (\n ((l43 == if (tuple44._1 == box7.id) { tuple44._2 } else { placeholder[Long](40) }) && bool37) && (\n (\n (\n (\n (((bool24 && ((coll20 == coll23) || (l27 == placeholder[Long](41)))) && (coll39 == coll23)) && (l40 == l42)) && (\n coll32.size == placeholder[Int](42)\n )\n ) && (box45.value >= l43 * l30 * l26)\n ) && (coll46.size == placeholder[Int](43))\n ) || (\n (((((!bool24) && (box31.value >= l42)) && (coll32.size == placeholder[Int](44))) && (tuple47._1 == coll23)) && (tuple47._2 >= l43 * l26)) && (\n coll46.size == placeholder[Int](45)\n )\n )\n )\n ) && (box45.propositionBytes == coll13)\n ) && (OUTPUTS(placeholder[Int](46)).tokens.size == placeholder[Int](47))\n )} else { placeholder[Boolean](48) }\n ) || if (((bool6 && (!bool34)) && (INPUTS.size == placeholder[Int](49))) && (OUTPUTS.size == placeholder[Int](50))) {\n (\n (\n (\n (\n (\n ((((l36 == l28 - placeholder[Long](51) - placeholder[Long](52)) && bool37) && (coll20 == coll4)) && (l27 == placeholder[Long](53))) && (\n tuple22 == tuple41\n )\n ) && (box31.propositionBytes == coll13)\n ) && (box31.value == placeholder[Long](54))\n ) && (coll32.size == placeholder[Int](55))\n ) && (coll39 == coll4)\n ) && (l40 == l25 - placeholder[Long](56))\n } else { placeholder[Boolean](57) }\n ) || if ((bool33 && (!bool35)) || if (bool24) { bool34 && (tuple41._2 == placeholder[Long](58)) } else { bool34 && (l28 == placeholder[Long](59)) }) {\n ((bool14 && (l36 >= l28 - placeholder[Long](60))) && (coll20 == coll4)) && (l27 == l25)\n } else { placeholder[Boolean](61) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"index": 0,
"amount": 1,
"name": "COMET",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0e200cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
"sigmaType": "Coll[SByte]",
"renderedValue": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b"
},
"R6": {
"serializedValue": "0e0130",
"sigmaType": "Coll[SByte]",
"renderedValue": "30"
},
"R8": {
"serializedValue": "110700000280c0f9a4f96180710a80897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,0,1,1682726400000,7232,5,1000000]"
},
"R7": {
"serializedValue": "63a0968001100205000502d19373007301e28f3800040e01200e01200e012063c0843d10010100d17300ce8f380000c29e8341fbb9884bc3c58559b49c529f5f9b2ff038b97f9e76976c92ba917b0f01bd0beef5b5e1eb164d6999d5d038f793954ebe93f82ea3bd0fa1b8c65edc41b100",
"sigmaType": null,
"renderedValue": null
},
"R9": {
"serializedValue": "1a022102042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e240008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e,0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6]"
},
"R4": {
"serializedValue": "0e2643616c6c5f455f434f4d45545f4552475f373233325f323032332d30342d32395f7065725f31",
"sigmaType": "Coll[SByte]",
"renderedValue": "43616c6c5f455f434f4d45545f4552475f373233325f323032332d30342d32395f7065725f31"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "ffafd98b8be124de5e2a7011683036fc191c0e1fa9803cccd8499fd365f44859",
"transactionId": "236f496a20a0a30b427dc4d02655e2795c52fb97abe8383cfe50abc51feebb2a",
"blockId": "f4dec471e2b4a19ae481ac0af3bd093756d4ebdf76570fe896242fa952eb78ac",
"value": 4200000,
"index": 0,
"globalIndex": 26041819,
"creationHeight": 928171,
"settlementHeight": 928174,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 1\n7: 0\n8: 0\n9: 2\n10: 6\n11: 4\n12: 1\n13: 1\n14: 1\n15: 0\n16: 86400000\n17: 11100000\n18: false\n19: 0\n20: 1\n21: 2\n22: 1\n23: 3\n24: 86400000\n25: 1\n26: 2\n27: 1\n28: 3300000\n29: 20000000\n30: 1\n31: 1\n32: 0\n33: false\n34: 2\n35: 4\n36: 1\n37: 0\n38: 2\n39: 0\n40: 0\n41: 0\n42: 1\n43: 0\n44: 0\n45: 1\n46: 3\n47: 0\n48: false\n49: 1\n50: 3\n51: 1100000\n52: 10000000\n53: 1\n54: 10000000\n55: 1\n56: 1\n57: false\n58: 0\n59: 11100000\n60: 1100000\n61: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val tuple2 = (Coll[Byte](), placeholder[Long](0))\n val tuple3 = coll1.getOrElse(placeholder[Int](1), tuple2)\n val coll4 = tuple3._1\n val box5 = SELF.R7[Box].get\n val bool6 = (coll4 == box5.id) && (SELF.propositionBytes == box5.propositionBytes)\n val box7 = if (bool6) { box5 } else { SELF }\n val coll8 = box7.R9[Coll[Coll[Byte]]].get\n val prop9 = proveDlog(decodePoint(coll8(placeholder[Int](2))))\n val bool10 = !bool6\n val box11 = OUTPUTS(placeholder[Int](3))\n val coll12 = box11.propositionBytes\n val coll13 = prop9.propBytes\n val bool14 = coll12 == coll13\n val coll15 = box7.R8[Coll[Long]].get\n val l16 = coll15(placeholder[Int](4))\n val l17 = CONTEXT.preHeader.timestamp\n val coll18 = box11.tokens\n val tuple19 = coll18.getOrElse(placeholder[Int](5), tuple2)\n val coll20 = tuple19._1\n val bool21 = coll12 == SELF.propositionBytes\n val tuple22 = coll18.getOrElse(placeholder[Int](6), tuple2)\n val coll23 = box7.R5[Coll[Byte]].get\n val bool24 = coll15(placeholder[Int](7)) == placeholder[Long](8)\n val l25 = tuple3._2\n val l26 = coll15(placeholder[Int](9))\n val l27 = tuple19._2\n val l28 = SELF.value\n val l29 = coll15(placeholder[Int](10))\n val l30 = coll15(placeholder[Int](11))\n val box31 = OUTPUTS(placeholder[Int](12))\n val coll32 = box31.tokens\n val bool33 = l17 > l16\n val bool34 = bool6 && (l25 == placeholder[Long](13))\n val bool35 = if (coll15(placeholder[Int](14)) == placeholder[Long](15)) { (bool34 && bool33) && (l17 < l16 + placeholder[Long](16)) } else {\n bool34 && (l17 <= l16)\n }\n val l36 = box11.value\n val bool37 = if (bool21) {\n (\n (((l36 >= placeholder[Long](17)) && (box11.R4[Coll[Byte]].get == box7.R4[Coll[Byte]].get)) && (box11.R5[Coll[Byte]].get == coll23)) && (\n box11.R6[Coll[Byte]].get == box7.R6[Coll[Byte]].get\n )\n ) && (box11.R7[Box].get == box7)\n } else { placeholder[Boolean](18) }\n val tuple38 = coll32.getOrElse(placeholder[Int](19), tuple2)\n val coll39 = tuple38._1\n val l40 = tuple38._2\n val tuple41 = coll1.getOrElse(placeholder[Int](20), tuple2)\n prop9 && sigmaProp((bool10 && (OUTPUTS.size == placeholder[Int](21))) && bool14) || sigmaProp(\n (\n (\n if (((bool10 && (INPUTS.size == placeholder[Int](22))) && (OUTPUTS.size == placeholder[Int](23))) && (l16 - l17 >= placeholder[Long](24))) {\n (\n (\n (\n (bool21 && (coll20 == SELF.id)) && (\n (\n (((bool24 && (tuple22._1 == coll23)) && (tuple22 == tuple3)) && (l27 == l25 / l26 + placeholder[Long](25))) && (\n coll18.size == placeholder[Int](26)\n )\n ) || (\n ((!bool24) && (coll18.size == placeholder[Int](27))) && (\n l27 == l28 - placeholder[Long](28) - l29 - placeholder[Long](29) / l30 * l26 + placeholder[Long](30)\n )\n )\n )\n ) && (box31.propositionBytes == coll8(placeholder[Int](31)))\n ) && (coll32.size == placeholder[Int](32))\n ) && (box31.value >= l29)\n } else { placeholder[Boolean](33) } || if ((bool35 && (INPUTS.size == placeholder[Int](34))) && (OUTPUTS.size == placeholder[Int](35))) {(\n val l42 = if (bool24) { l25 - l27 } else { l28 - l36 }\n val l43 = if (bool24) { l42 / l26 } else { l42 / l30 * l26 }\n val tuple44 = INPUTS(placeholder[Int](36)).tokens.getOrElse(placeholder[Int](37), tuple2)\n val box45 = OUTPUTS(placeholder[Int](38))\n val coll46 = box45.tokens\n val tuple47 = coll46.getOrElse(placeholder[Int](39), tuple2)\n (\n (\n ((l43 == if (tuple44._1 == box7.id) { tuple44._2 } else { placeholder[Long](40) }) && bool37) && (\n (\n (\n (\n (((bool24 && ((coll20 == coll23) || (l27 == placeholder[Long](41)))) && (coll39 == coll23)) && (l40 == l42)) && (\n coll32.size == placeholder[Int](42)\n )\n ) && (box45.value >= l43 * l30 * l26)\n ) && (coll46.size == placeholder[Int](43))\n ) || (\n (((((!bool24) && (box31.value >= l42)) && (coll32.size == placeholder[Int](44))) && (tuple47._1 == coll23)) && (tuple47._2 >= l43 * l26)) && (\n coll46.size == placeholder[Int](45)\n )\n )\n )\n ) && (box45.propositionBytes == coll13)\n ) && (OUTPUTS(placeholder[Int](46)).tokens.size == placeholder[Int](47))\n )} else { placeholder[Boolean](48) }\n ) || if (((bool6 && (!bool34)) && (INPUTS.size == placeholder[Int](49))) && (OUTPUTS.size == placeholder[Int](50))) {\n (\n (\n (\n (\n (\n ((((l36 == l28 - placeholder[Long](51) - placeholder[Long](52)) && bool37) && (coll20 == coll4)) && (l27 == placeholder[Long](53))) && (\n tuple22 == tuple41\n )\n ) && (box31.propositionBytes == coll13)\n ) && (box31.value == placeholder[Long](54))\n ) && (coll32.size == placeholder[Int](55))\n ) && (coll39 == coll4)\n ) && (l40 == l25 - placeholder[Long](56))\n } else { placeholder[Boolean](57) }\n ) || if ((bool33 && (!bool35)) || if (bool24) { bool34 && (tuple41._2 == placeholder[Long](58)) } else { bool34 && (l28 == placeholder[Long](59)) }) {\n ((bool14 && (l36 >= l28 - placeholder[Long](60))) && (coll20 == coll4)) && (l27 == l25)\n } else { placeholder[Boolean](61) }\n )\n}",
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{
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"name": "Call_E_COMET_ERG_7232_2023-04-29_per_1",
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"type": "EIP-004"
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{
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"name": "COMET",
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"sigmaType": "Coll[SByte]",
"renderedValue": "43616c6c5f455f434f4d45545f4552475f373233325f323032332d30342d32395f7065725f31"
},
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b"
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"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "30"
},
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}
},
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},
{
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"globalIndex": 26041820,
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"settlementHeight": 928174,
"ergoTree": "0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9ed9a6,83e77d,...)))}",
"address": "9hfmJjrmeyhNgQZks1NzvrJyNgtHuMinnZbrupk6gGxTZWQQf87",
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{
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"index": 2,
"globalIndex": 26041821,
"creationHeight": 928171,
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}
],
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}