Transaction
ID: b7f885ffcb...bf5f
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
65.66 ERG
Tokens:
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Spent
Address:
Output transaction:
Settlement height:
Value:
237.01 ERG
Tokens:
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Outputs (11)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
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Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
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Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
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Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
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Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
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Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
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Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
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Spent
Address:
Spent in transaction:
Settlement height:
Value:
150.76 ERG
Tokens:
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Spent
Address:
Spent in transaction:
Settlement height:
Value:
150.76 ERG
Tokens:
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Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.05 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Transaction Details
Confirmations: 524,062
Total coins transferred: 302.67 ERG
Fees: 0.005 ERG
Fees per byte: 0.000000432 ERG
Raw Transaction Data
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{
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{
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{
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{
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{
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{
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{
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{
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}
],
"additionalRegisters": {}
},
{
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"outputTransactionId": "6922cda4d058db94144eb354f5da0655efad9ab9fc8698483cf073326c32e5e9",
"outputIndex": 2,
"outputGlobalIndex": 39660870,
"outputCreatedAt": 1253230,
"outputSettledAt": 1253232,
"ergoTree": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fcce43,4fd74a,...)))}",
"address": "9iP9GsEp5roMcUtfWspaeh8bNA8hTLUwq3d4prH5vNH3b4dKqJ6",
"assets": [
{
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{
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{
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},
{
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"type": "EIP-004"
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{
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"type": "EIP-004"
},
{
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"name": "Mi Goreng ",
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"type": "EIP-004"
},
{
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"name": "Xenosilk Stalker",
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"type": "EIP-004"
},
{
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"name": "PLOT ERGOZX #13-15L",
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"type": "EIP-004"
},
{
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"name": "Shadowwood Sentinel",
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"type": "EIP-004"
},
{
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"name": "Punishment",
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"type": "EIP-004"
},
{
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"name": "Umbral Barklord",
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"type": "EIP-004"
},
{
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"name": "GHASTLY FRUIT SLOT #5 GHOUL [1/2]",
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"type": "EIP-004"
},
{
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"decimals": 0,
"type": "EIP-004"
},
{
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"index": 13,
"amount": 150000,
"name": "$cometRefundTicketFinalFinal",
"decimals": 0,
"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"index": 15,
"amount": 1,
"name": "Total Overdose",
"decimals": 0,
"type": "EIP-004"
},
{
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"amount": 12660000,
"name": "Terahertz",
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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"index": 18,
"amount": 1,
"name": "Midas",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 19,
"amount": 999999,
"name": "kushti",
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"type": "EIP-004"
},
{
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"index": 20,
"amount": 2,
"name": "Nassetari",
"decimals": 0,
"type": "EIP-004"
},
{
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"index": 21,
"amount": 15061,
"name": "Peppo the Clown",
"decimals": 2,
"type": "EIP-004"
},
{
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"index": 22,
"amount": 1,
"name": "Ergnome #285 Matsu, the Chill Procrastinator",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c0f2a8bf62254b86411842611089062bd63249d581b5978580295f19a833a8b7",
"index": 23,
"amount": 1,
"name": "Mios & Bast",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0b2dd27d0d41c831fb157e57291a0d08ab361f0fe87ee0c801ca2b1d9c674a1a",
"index": 24,
"amount": 1,
"name": "Gnomekin #2895 ERGnomes Halloween '21 Special",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a37c7bf182628c7533614f40cece2594d564558990127cdc79219f082b6095fb",
"index": 25,
"amount": 2500000000000000,
"name": "Mint",
"decimals": 8,
"type": "EIP-004"
},
{
"tokenId": "ebb40ecab7bb7d2a935024100806db04f44c62c33ae9756cf6fc4cb6b9aa2d12",
"index": 26,
"amount": 21138840,
"name": "🚬",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "220521856678d6613e4e6665b00572a39bf10da7baabbbf914864fb61bc0c919",
"index": 27,
"amount": 1,
"name": "ergopad Stake Key",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "dc5baed8d08ae04cc52d24d6947963d70ed36721da7480180a16bcbf30882908",
"value": 3219364,
"index": 0,
"outputBlockId": "0926ca09654a5cc52df11736853080d7f207e81e4f447657c7c26f2c2023f2b2",
"outputTransactionId": "a3c9f6e7ba3ef05707139ee011a82bd134591edff86f40ef6e2313e1c9c280ca",
"outputIndex": 0,
"ergoTree": "0008cd03b04048a9708f0a2b109d75513a2483e3b9ede622efb3cc03bdddf93bccd93ac5",
"address": "9hoRnjysKfkwZSCgSFNzSXMohwYn8DqruuYxD6vT7Ubw55qnwiZ",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "0e240008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8"
},
"R6": {
"serializedValue": "0580dac409",
"sigmaType": "SLong",
"renderedValue": "10000000"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "110280dddb0180fca402",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1800000,2400000]"
},
"R4": {
"serializedValue": "043c",
"sigmaType": "SInt",
"renderedValue": "30"
}
}
}
],
"outputs": [
{
"boxId": "56b0bb04e795ddc98051b383c028b62909d1e15583f3eed36ad4b90c1c2e650c",
"transactionId": "b7f885ffcbb6ed2019b875c0dfed2fe8ed66593b7a4d8002cd1b54933a11bf5f",
"blockId": "bc3af666439efb2da194ba663ed53497e1abf66d63fb9189063ecc006a5b7c69",
"value": 15000000,
"index": 0,
"globalIndex": 39662439,
"creationHeight": 1253246,
"settlementHeight": 1253250,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 2\n4: 0\n5: 0\n6: 2\n7: 0\n8: 1\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 2\n15: 1000\n16: 0\n17: 3\n18: 0\n19: 1000\n20: 1000\n21: 1000\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 1\n36: 2\n37: 0\n38: false\n39: 0\n40: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = Coll[Byte]()\n val l3 = SELF.value\n val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n val l5 = tuple4._2\n val opt6 = SELF.R6[Coll[Long]]\n val coll7 = opt6.get\n val l8 = coll7(placeholder[Int](1))\n val coll9 = SELF.R7[Coll[Byte]].get\n val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n val bool11 = l10 < l8\n val coll12 = SELF.R4[Coll[Byte]].get\n val l13 = CONTEXT.preHeader.timestamp\n val tuple14 = SELF.R5[(Long, Long)].get\n val l15 = tuple14._1\n val l16 = tuple14._2\n val l17 = coll7.getOrElse(placeholder[Int](3), placeholder[Long](4))\n val box18 = CONTEXT.dataInputs(placeholder[Int](5))\n val i19 = box18.R4[Int].get\n val box20 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll21 = box20.tokens\n val l22 = box20.value\n val tuple23 = (coll2, l22)\n val tuple24 = coll21.getOrElse(placeholder[Int](7), tuple23)\n val box25 = OUTPUTS.getOrElse(placeholder[Int](8), SELF)\n val coll26 = box25.tokens\n val l27 = box25.value\n val tuple28 = (coll2, l27)\n val tuple29 = coll26.getOrElse(placeholder[Int](9), tuple28)\n val coll30 = SELF.R8[Coll[Byte]].get\n val bool31 = INPUTS(placeholder[Int](10)).id == SELF.id\n sigmaProp(bool11) && proveDlog(decodePoint(coll12.slice(placeholder[Int](11), coll12.size))) || sigmaProp(if (l13 > l15) { if (l13 > l16) {(\n val bool32 = (l10 >= l8) || ((l17 > placeholder[Long](12)) && (l10 >= l17))\n val box33 = OUTPUTS(placeholder[Int](13))\n val l34 = placeholder[Long](14) * box18.R6[Long].get\n val box35 = box20\n val coll36 = coll21\n val l37 = l22\n val tuple38 = tuple23\n val tuple39 = tuple24\n val i40 = placeholder[Int](15) - i19\n val box41 = box25\n val coll42 = coll26\n val l43 = l27\n val tuple44 = tuple28\n val tuple45 = tuple29\n val box46 = OUTPUTS.getOrElse(placeholder[Int](16), SELF)\n ((!bool32) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](17), box33.tokens == coll1, box33.value >= l3 - l34, box33.propositionBytes == coll12))) || (bool32 && allOf(Coll[Boolean](bool31, ((box35.propositionBytes == coll12) && (tuple39._2 >= if (coll9.size > placeholder[Int](18)) { l10 * i40.toLong / placeholder[Long](19) } else { l10 * i40.toLong / placeholder[Long](20) - l34 })) && (tuple39._1 == coll9), ((box41.propositionBytes == box18.R5[Coll[Byte]].get) && (tuple45._2 >= l10 * i19.toLong / placeholder[Long](21))) && (tuple45._1 == coll9), box46.propositionBytes == coll30, coll1(placeholder[Int](22)) == box46.tokens(placeholder[Int](23)))))\n )} else {(\n val box32 = OUTPUTS(placeholder[Int](24))\n val coll33 = box32.tokens\n val tuple34 = coll33.getOrElse(placeholder[Int](25), (coll2, box32.value))\n val l35 = tuple34._2\n val bool36 = l17 > placeholder[Long](26)\n val coll37 = box18.R7[Coll[Long]].get\n val box38 = OUTPUTS(placeholder[Int](27))\n val tuple39 = box38.tokens.getOrElse(placeholder[Int](28), (coll2, box38.value))\n allOf(Coll[Boolean](bool31, tuple34._1 == coll9, (l35 >= if (bool11) { l8 } else { l10 + coll7(placeholder[Int](29)) }) || (bool36 && (l35 >= l17)), coll1(placeholder[Int](30)) == coll33(placeholder[Int](31)), box32.propositionBytes == SELF.propositionBytes, box32.R4[Coll[Byte]].get == coll12, if (bool36 && (l35 >= l17)) {(\n val tuple40 = box32.R5[(Long, Long)].get\n (tuple40._1 == l15) && (tuple40._2 <= l13)\n )} else { box32.R5[(Long, Long)].get == (l15, if (l16 - l13 <= coll37(placeholder[Int](32))) { l16 + coll37(placeholder[Int](33)) } else { l16 }) }, box32.R6[Coll[Long]] == opt6, box32.R7[Coll[Byte]].get == coll9, coll33.size == if (coll9.size == placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, box38.propositionBytes == coll30, ((tuple39._1 == coll9) && (tuple39._2 >= l10)) || (l10 == placeholder[Long](37))))\n )} } else { placeholder[Boolean](38) }) && sigmaProp(box18.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Combat Cauldroneer",
"decimals": 0,
"type": "EIP-004"
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],
"additionalRegisters": {
"R5": {
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"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714361246239,1714965446239]"
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"R6": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[15000000000,1000000000,20000000000]"
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"R8": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e"
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"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
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"R4": {
"serializedValue": "0e240008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e"
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"spentTransactionId": "8fc13d0aa29e700c2e92c9757b592d40707b90da760e81b4d84b1eddd3c6dbb9",
"mainChain": true
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{
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"blockId": "bc3af666439efb2da194ba663ed53497e1abf66d63fb9189063ecc006a5b7c69",
"value": 15000000,
"index": 1,
"globalIndex": 39662440,
"creationHeight": 1253246,
"settlementHeight": 1253250,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 2\n4: 0\n5: 0\n6: 2\n7: 0\n8: 1\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 2\n15: 1000\n16: 0\n17: 3\n18: 0\n19: 1000\n20: 1000\n21: 1000\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 1\n36: 2\n37: 0\n38: false\n39: 0\n40: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = Coll[Byte]()\n val l3 = SELF.value\n val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n val l5 = tuple4._2\n val opt6 = SELF.R6[Coll[Long]]\n val coll7 = opt6.get\n val l8 = coll7(placeholder[Int](1))\n val coll9 = SELF.R7[Coll[Byte]].get\n val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n val bool11 = l10 < l8\n val coll12 = SELF.R4[Coll[Byte]].get\n val l13 = CONTEXT.preHeader.timestamp\n val tuple14 = SELF.R5[(Long, Long)].get\n val l15 = tuple14._1\n val l16 = tuple14._2\n val l17 = coll7.getOrElse(placeholder[Int](3), placeholder[Long](4))\n val box18 = CONTEXT.dataInputs(placeholder[Int](5))\n val i19 = box18.R4[Int].get\n val box20 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll21 = box20.tokens\n val l22 = box20.value\n val tuple23 = (coll2, l22)\n val tuple24 = coll21.getOrElse(placeholder[Int](7), tuple23)\n val box25 = OUTPUTS.getOrElse(placeholder[Int](8), SELF)\n val coll26 = box25.tokens\n val l27 = box25.value\n val tuple28 = (coll2, l27)\n val tuple29 = coll26.getOrElse(placeholder[Int](9), tuple28)\n val coll30 = SELF.R8[Coll[Byte]].get\n val bool31 = INPUTS(placeholder[Int](10)).id == SELF.id\n sigmaProp(bool11) && proveDlog(decodePoint(coll12.slice(placeholder[Int](11), coll12.size))) || sigmaProp(if (l13 > l15) { if (l13 > l16) {(\n val bool32 = (l10 >= l8) || ((l17 > placeholder[Long](12)) && (l10 >= l17))\n val box33 = OUTPUTS(placeholder[Int](13))\n val l34 = placeholder[Long](14) * box18.R6[Long].get\n val box35 = box20\n val coll36 = coll21\n val l37 = l22\n val tuple38 = tuple23\n val tuple39 = tuple24\n val i40 = placeholder[Int](15) - i19\n val box41 = box25\n val coll42 = coll26\n val l43 = l27\n val tuple44 = tuple28\n val tuple45 = tuple29\n val box46 = OUTPUTS.getOrElse(placeholder[Int](16), SELF)\n ((!bool32) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](17), box33.tokens == coll1, box33.value >= l3 - l34, box33.propositionBytes == coll12))) || (bool32 && allOf(Coll[Boolean](bool31, ((box35.propositionBytes == coll12) && (tuple39._2 >= if (coll9.size > placeholder[Int](18)) { l10 * i40.toLong / placeholder[Long](19) } else { l10 * i40.toLong / placeholder[Long](20) - l34 })) && (tuple39._1 == coll9), ((box41.propositionBytes == box18.R5[Coll[Byte]].get) && (tuple45._2 >= l10 * i19.toLong / placeholder[Long](21))) && (tuple45._1 == coll9), box46.propositionBytes == coll30, coll1(placeholder[Int](22)) == box46.tokens(placeholder[Int](23)))))\n )} else {(\n val box32 = OUTPUTS(placeholder[Int](24))\n val coll33 = box32.tokens\n val tuple34 = coll33.getOrElse(placeholder[Int](25), (coll2, box32.value))\n val l35 = tuple34._2\n val bool36 = l17 > placeholder[Long](26)\n val coll37 = box18.R7[Coll[Long]].get\n val box38 = OUTPUTS(placeholder[Int](27))\n val tuple39 = box38.tokens.getOrElse(placeholder[Int](28), (coll2, box38.value))\n allOf(Coll[Boolean](bool31, tuple34._1 == coll9, (l35 >= if (bool11) { l8 } else { l10 + coll7(placeholder[Int](29)) }) || (bool36 && (l35 >= l17)), coll1(placeholder[Int](30)) == coll33(placeholder[Int](31)), box32.propositionBytes == SELF.propositionBytes, box32.R4[Coll[Byte]].get == coll12, if (bool36 && (l35 >= l17)) {(\n val tuple40 = box32.R5[(Long, Long)].get\n (tuple40._1 == l15) && (tuple40._2 <= l13)\n )} else { box32.R5[(Long, Long)].get == (l15, if (l16 - l13 <= coll37(placeholder[Int](32))) { l16 + coll37(placeholder[Int](33)) } else { l16 }) }, box32.R6[Coll[Long]] == opt6, box32.R7[Coll[Byte]].get == coll9, coll33.size == if (coll9.size == placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, box38.propositionBytes == coll30, ((tuple39._1 == coll9) && (tuple39._2 >= l10)) || (l10 == placeholder[Long](37))))\n )} } else { placeholder[Boolean](38) }) && sigmaProp(box18.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Stella the Star Sage",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "59d4bba5fee463d4acc0bee963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714361249514,1714965449514]"
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"R6": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[15000000000,1000000000,25000000000]"
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e"
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"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": ""
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"R4": {
"serializedValue": "0e240008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e"
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"spentTransactionId": "8fc13d0aa29e700c2e92c9757b592d40707b90da760e81b4d84b1eddd3c6dbb9",
"mainChain": true
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{
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"transactionId": "b7f885ffcbb6ed2019b875c0dfed2fe8ed66593b7a4d8002cd1b54933a11bf5f",
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"value": 15000000,
"index": 2,
"globalIndex": 39662441,
"creationHeight": 1253246,
"settlementHeight": 1253250,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 2\n4: 0\n5: 0\n6: 2\n7: 0\n8: 1\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 2\n15: 1000\n16: 0\n17: 3\n18: 0\n19: 1000\n20: 1000\n21: 1000\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 1\n36: 2\n37: 0\n38: false\n39: 0\n40: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = Coll[Byte]()\n val l3 = SELF.value\n val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n val l5 = tuple4._2\n val opt6 = SELF.R6[Coll[Long]]\n val coll7 = opt6.get\n val l8 = coll7(placeholder[Int](1))\n val coll9 = SELF.R7[Coll[Byte]].get\n val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n val bool11 = l10 < l8\n val coll12 = SELF.R4[Coll[Byte]].get\n val l13 = CONTEXT.preHeader.timestamp\n val tuple14 = SELF.R5[(Long, Long)].get\n val l15 = tuple14._1\n val l16 = tuple14._2\n val l17 = coll7.getOrElse(placeholder[Int](3), placeholder[Long](4))\n val box18 = CONTEXT.dataInputs(placeholder[Int](5))\n val i19 = box18.R4[Int].get\n val box20 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll21 = box20.tokens\n val l22 = box20.value\n val tuple23 = (coll2, l22)\n val tuple24 = coll21.getOrElse(placeholder[Int](7), tuple23)\n val box25 = OUTPUTS.getOrElse(placeholder[Int](8), SELF)\n val coll26 = box25.tokens\n val l27 = box25.value\n val tuple28 = (coll2, l27)\n val tuple29 = coll26.getOrElse(placeholder[Int](9), tuple28)\n val coll30 = SELF.R8[Coll[Byte]].get\n val bool31 = INPUTS(placeholder[Int](10)).id == SELF.id\n sigmaProp(bool11) && proveDlog(decodePoint(coll12.slice(placeholder[Int](11), coll12.size))) || sigmaProp(if (l13 > l15) { if (l13 > l16) {(\n val bool32 = (l10 >= l8) || ((l17 > placeholder[Long](12)) && (l10 >= l17))\n val box33 = OUTPUTS(placeholder[Int](13))\n val l34 = placeholder[Long](14) * box18.R6[Long].get\n val box35 = box20\n val coll36 = coll21\n val l37 = l22\n val tuple38 = tuple23\n val tuple39 = tuple24\n val i40 = placeholder[Int](15) - i19\n val box41 = box25\n val coll42 = coll26\n val l43 = l27\n val tuple44 = tuple28\n val tuple45 = tuple29\n val box46 = OUTPUTS.getOrElse(placeholder[Int](16), SELF)\n ((!bool32) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](17), box33.tokens == coll1, box33.value >= l3 - l34, box33.propositionBytes == coll12))) || (bool32 && allOf(Coll[Boolean](bool31, ((box35.propositionBytes == coll12) && (tuple39._2 >= if (coll9.size > placeholder[Int](18)) { l10 * i40.toLong / placeholder[Long](19) } else { l10 * i40.toLong / placeholder[Long](20) - l34 })) && (tuple39._1 == coll9), ((box41.propositionBytes == box18.R5[Coll[Byte]].get) && (tuple45._2 >= l10 * i19.toLong / placeholder[Long](21))) && (tuple45._1 == coll9), box46.propositionBytes == coll30, coll1(placeholder[Int](22)) == box46.tokens(placeholder[Int](23)))))\n )} else {(\n val box32 = OUTPUTS(placeholder[Int](24))\n val coll33 = box32.tokens\n val tuple34 = coll33.getOrElse(placeholder[Int](25), (coll2, box32.value))\n val l35 = tuple34._2\n val bool36 = l17 > placeholder[Long](26)\n val coll37 = box18.R7[Coll[Long]].get\n val box38 = OUTPUTS(placeholder[Int](27))\n val tuple39 = box38.tokens.getOrElse(placeholder[Int](28), (coll2, box38.value))\n allOf(Coll[Boolean](bool31, tuple34._1 == coll9, (l35 >= if (bool11) { l8 } else { l10 + coll7(placeholder[Int](29)) }) || (bool36 && (l35 >= l17)), coll1(placeholder[Int](30)) == coll33(placeholder[Int](31)), box32.propositionBytes == SELF.propositionBytes, box32.R4[Coll[Byte]].get == coll12, if (bool36 && (l35 >= l17)) {(\n val tuple40 = box32.R5[(Long, Long)].get\n (tuple40._1 == l15) && (tuple40._2 <= l13)\n )} else { box32.R5[(Long, Long)].get == (l15, if (l16 - l13 <= coll37(placeholder[Int](32))) { l16 + coll37(placeholder[Int](33)) } else { l16 }) }, box32.R6[Coll[Long]] == opt6, box32.R7[Coll[Byte]].get == coll9, coll33.size == if (coll9.size == placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, box38.propositionBytes == coll30, ((tuple39._1 == coll9) && (tuple39._2 >= l10)) || (l10 == placeholder[Long](37))))\n )} } else { placeholder[Boolean](38) }) && sigmaProp(box18.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n}",
"address": "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",
"assets": [
{
"tokenId": "88f881fe4ec16cd4e365dfbfc600bb8128efbc7688dbab7e8a1cc2f8d5ab15d8",
"index": 0,
"amount": 1,
"name": "Nassetari",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "59a6aea6fee463a69fc1bee963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714361256851,1714965456851]"
},
"R6": {
"serializedValue": "110380d88ee16f80a8d6b90780e8eda1ba01",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15000000000,1000000000,25000000000]"
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"R8": {
"serializedValue": "0e240008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
"serializedValue": "0e240008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e"
}
},
"spentTransactionId": "8fc13d0aa29e700c2e92c9757b592d40707b90da760e81b4d84b1eddd3c6dbb9",
"mainChain": true
},
{
"boxId": "995a5dbf99050c0c8759ccf75387491518c4667e4c5caba4fa3102db5b428c30",
"transactionId": "b7f885ffcbb6ed2019b875c0dfed2fe8ed66593b7a4d8002cd1b54933a11bf5f",
"blockId": "bc3af666439efb2da194ba663ed53497e1abf66d63fb9189063ecc006a5b7c69",
"value": 15000000,
"index": 3,
"globalIndex": 39662442,
"creationHeight": 1253246,
"settlementHeight": 1253250,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 2\n4: 0\n5: 0\n6: 2\n7: 0\n8: 1\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 2\n15: 1000\n16: 0\n17: 3\n18: 0\n19: 1000\n20: 1000\n21: 1000\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 1\n36: 2\n37: 0\n38: false\n39: 0\n40: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = Coll[Byte]()\n val l3 = SELF.value\n val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n val l5 = tuple4._2\n val opt6 = SELF.R6[Coll[Long]]\n val coll7 = opt6.get\n val l8 = coll7(placeholder[Int](1))\n val coll9 = SELF.R7[Coll[Byte]].get\n val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n val bool11 = l10 < l8\n val coll12 = SELF.R4[Coll[Byte]].get\n val l13 = CONTEXT.preHeader.timestamp\n val tuple14 = SELF.R5[(Long, Long)].get\n val l15 = tuple14._1\n val l16 = tuple14._2\n val l17 = coll7.getOrElse(placeholder[Int](3), placeholder[Long](4))\n val box18 = CONTEXT.dataInputs(placeholder[Int](5))\n val i19 = box18.R4[Int].get\n val box20 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll21 = box20.tokens\n val l22 = box20.value\n val tuple23 = (coll2, l22)\n val tuple24 = coll21.getOrElse(placeholder[Int](7), tuple23)\n val box25 = OUTPUTS.getOrElse(placeholder[Int](8), SELF)\n val coll26 = box25.tokens\n val l27 = box25.value\n val tuple28 = (coll2, l27)\n val tuple29 = coll26.getOrElse(placeholder[Int](9), tuple28)\n val coll30 = SELF.R8[Coll[Byte]].get\n val bool31 = INPUTS(placeholder[Int](10)).id == SELF.id\n sigmaProp(bool11) && proveDlog(decodePoint(coll12.slice(placeholder[Int](11), coll12.size))) || sigmaProp(if (l13 > l15) { if (l13 > l16) {(\n val bool32 = (l10 >= l8) || ((l17 > placeholder[Long](12)) && (l10 >= l17))\n val box33 = OUTPUTS(placeholder[Int](13))\n val l34 = placeholder[Long](14) * box18.R6[Long].get\n val box35 = box20\n val coll36 = coll21\n val l37 = l22\n val tuple38 = tuple23\n val tuple39 = tuple24\n val i40 = placeholder[Int](15) - i19\n val box41 = box25\n val coll42 = coll26\n val l43 = l27\n val tuple44 = tuple28\n val tuple45 = tuple29\n val box46 = OUTPUTS.getOrElse(placeholder[Int](16), SELF)\n ((!bool32) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](17), box33.tokens == coll1, box33.value >= l3 - l34, box33.propositionBytes == coll12))) || (bool32 && allOf(Coll[Boolean](bool31, ((box35.propositionBytes == coll12) && (tuple39._2 >= if (coll9.size > placeholder[Int](18)) { l10 * i40.toLong / placeholder[Long](19) } else { l10 * i40.toLong / placeholder[Long](20) - l34 })) && (tuple39._1 == coll9), ((box41.propositionBytes == box18.R5[Coll[Byte]].get) && (tuple45._2 >= l10 * i19.toLong / placeholder[Long](21))) && (tuple45._1 == coll9), box46.propositionBytes == coll30, coll1(placeholder[Int](22)) == box46.tokens(placeholder[Int](23)))))\n )} else {(\n val box32 = OUTPUTS(placeholder[Int](24))\n val coll33 = box32.tokens\n val tuple34 = coll33.getOrElse(placeholder[Int](25), (coll2, box32.value))\n val l35 = tuple34._2\n val bool36 = l17 > placeholder[Long](26)\n val coll37 = box18.R7[Coll[Long]].get\n val box38 = OUTPUTS(placeholder[Int](27))\n val tuple39 = box38.tokens.getOrElse(placeholder[Int](28), (coll2, box38.value))\n allOf(Coll[Boolean](bool31, tuple34._1 == coll9, (l35 >= if (bool11) { l8 } else { l10 + coll7(placeholder[Int](29)) }) || (bool36 && (l35 >= l17)), coll1(placeholder[Int](30)) == coll33(placeholder[Int](31)), box32.propositionBytes == SELF.propositionBytes, box32.R4[Coll[Byte]].get == coll12, if (bool36 && (l35 >= l17)) {(\n val tuple40 = box32.R5[(Long, Long)].get\n (tuple40._1 == l15) && (tuple40._2 <= l13)\n )} else { box32.R5[(Long, Long)].get == (l15, if (l16 - l13 <= coll37(placeholder[Int](32))) { l16 + coll37(placeholder[Int](33)) } else { l16 }) }, box32.R6[Coll[Long]] == opt6, box32.R7[Coll[Byte]].get == coll9, coll33.size == if (coll9.size == placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, box38.propositionBytes == coll30, ((tuple39._1 == coll9) && (tuple39._2 >= l10)) || (l10 == placeholder[Long](37))))\n )} } else { placeholder[Boolean](38) }) && sigmaProp(box18.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Chelone the Bounded",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "599082a7fee46390f3c1bee963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714361262216,1714965462216]"
},
"R6": {
"serializedValue": "110380d88ee16f80a8d6b90780e8eda1ba01",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15000000000,1000000000,25000000000]"
},
"R8": {
"serializedValue": "0e240008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
"serializedValue": "0e240008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e"
}
},
"spentTransactionId": "8fc13d0aa29e700c2e92c9757b592d40707b90da760e81b4d84b1eddd3c6dbb9",
"mainChain": true
},
{
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"transactionId": "b7f885ffcbb6ed2019b875c0dfed2fe8ed66593b7a4d8002cd1b54933a11bf5f",
"blockId": "bc3af666439efb2da194ba663ed53497e1abf66d63fb9189063ecc006a5b7c69",
"value": 15000000,
"index": 4,
"globalIndex": 39662443,
"creationHeight": 1253246,
"settlementHeight": 1253250,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 2\n4: 0\n5: 0\n6: 2\n7: 0\n8: 1\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 2\n15: 1000\n16: 0\n17: 3\n18: 0\n19: 1000\n20: 1000\n21: 1000\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 1\n36: 2\n37: 0\n38: false\n39: 0\n40: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = Coll[Byte]()\n val l3 = SELF.value\n val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n val l5 = tuple4._2\n val opt6 = SELF.R6[Coll[Long]]\n val coll7 = opt6.get\n val l8 = coll7(placeholder[Int](1))\n val coll9 = SELF.R7[Coll[Byte]].get\n val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n val bool11 = l10 < l8\n val coll12 = SELF.R4[Coll[Byte]].get\n val l13 = CONTEXT.preHeader.timestamp\n val tuple14 = SELF.R5[(Long, Long)].get\n val l15 = tuple14._1\n val l16 = tuple14._2\n val l17 = coll7.getOrElse(placeholder[Int](3), placeholder[Long](4))\n val box18 = CONTEXT.dataInputs(placeholder[Int](5))\n val i19 = box18.R4[Int].get\n val box20 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll21 = box20.tokens\n val l22 = box20.value\n val tuple23 = (coll2, l22)\n val tuple24 = coll21.getOrElse(placeholder[Int](7), tuple23)\n val box25 = OUTPUTS.getOrElse(placeholder[Int](8), SELF)\n val coll26 = box25.tokens\n val l27 = box25.value\n val tuple28 = (coll2, l27)\n val tuple29 = coll26.getOrElse(placeholder[Int](9), tuple28)\n val coll30 = SELF.R8[Coll[Byte]].get\n val bool31 = INPUTS(placeholder[Int](10)).id == SELF.id\n sigmaProp(bool11) && proveDlog(decodePoint(coll12.slice(placeholder[Int](11), coll12.size))) || sigmaProp(if (l13 > l15) { if (l13 > l16) {(\n val bool32 = (l10 >= l8) || ((l17 > placeholder[Long](12)) && (l10 >= l17))\n val box33 = OUTPUTS(placeholder[Int](13))\n val l34 = placeholder[Long](14) * box18.R6[Long].get\n val box35 = box20\n val coll36 = coll21\n val l37 = l22\n val tuple38 = tuple23\n val tuple39 = tuple24\n val i40 = placeholder[Int](15) - i19\n val box41 = box25\n val coll42 = coll26\n val l43 = l27\n val tuple44 = tuple28\n val tuple45 = tuple29\n val box46 = OUTPUTS.getOrElse(placeholder[Int](16), SELF)\n ((!bool32) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](17), box33.tokens == coll1, box33.value >= l3 - l34, box33.propositionBytes == coll12))) || (bool32 && allOf(Coll[Boolean](bool31, ((box35.propositionBytes == coll12) && (tuple39._2 >= if (coll9.size > placeholder[Int](18)) { l10 * i40.toLong / placeholder[Long](19) } else { l10 * i40.toLong / placeholder[Long](20) - l34 })) && (tuple39._1 == coll9), ((box41.propositionBytes == box18.R5[Coll[Byte]].get) && (tuple45._2 >= l10 * i19.toLong / placeholder[Long](21))) && (tuple45._1 == coll9), box46.propositionBytes == coll30, coll1(placeholder[Int](22)) == box46.tokens(placeholder[Int](23)))))\n )} else {(\n val box32 = OUTPUTS(placeholder[Int](24))\n val coll33 = box32.tokens\n val tuple34 = coll33.getOrElse(placeholder[Int](25), (coll2, box32.value))\n val l35 = tuple34._2\n val bool36 = l17 > placeholder[Long](26)\n val coll37 = box18.R7[Coll[Long]].get\n val box38 = OUTPUTS(placeholder[Int](27))\n val tuple39 = box38.tokens.getOrElse(placeholder[Int](28), (coll2, box38.value))\n allOf(Coll[Boolean](bool31, tuple34._1 == coll9, (l35 >= if (bool11) { l8 } else { l10 + coll7(placeholder[Int](29)) }) || (bool36 && (l35 >= l17)), coll1(placeholder[Int](30)) == coll33(placeholder[Int](31)), box32.propositionBytes == SELF.propositionBytes, box32.R4[Coll[Byte]].get == coll12, if (bool36 && (l35 >= l17)) {(\n val tuple40 = box32.R5[(Long, Long)].get\n (tuple40._1 == l15) && (tuple40._2 <= l13)\n )} else { box32.R5[(Long, Long)].get == (l15, if (l16 - l13 <= coll37(placeholder[Int](32))) { l16 + coll37(placeholder[Int](33)) } else { l16 }) }, box32.R6[Coll[Long]] == opt6, box32.R7[Coll[Byte]].get == coll9, coll33.size == if (coll9.size == placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, box38.propositionBytes == coll30, ((tuple39._1 == coll9) && (tuple39._2 >= l10)) || (l10 == placeholder[Long](37))))\n )} } else { placeholder[Boolean](38) }) && sigmaProp(box18.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n}",
"address": "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",
"assets": [
{
"tokenId": "8ad371774b6ed8b16f3cc1e2356655c2e69086c9469293d6ebcf59650a39489a",
"index": 0,
"amount": 1,
"name": "Persephone & Hades",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "59cecaa7fee463cebbc2bee963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714361266855,1714965466855]"
},
"R6": {
"serializedValue": "110380d88ee16f80a8d6b90780e8eda1ba01",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15000000000,1000000000,25000000000]"
},
"R8": {
"serializedValue": "0e240008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
"serializedValue": "0e240008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e"
}
},
"spentTransactionId": "8fc13d0aa29e700c2e92c9757b592d40707b90da760e81b4d84b1eddd3c6dbb9",
"mainChain": true
},
{
"boxId": "b94875804297516749935f4f9727b500d6e2beae34834683450e6348795982d6",
"transactionId": "b7f885ffcbb6ed2019b875c0dfed2fe8ed66593b7a4d8002cd1b54933a11bf5f",
"blockId": "bc3af666439efb2da194ba663ed53497e1abf66d63fb9189063ecc006a5b7c69",
"value": 15000000,
"index": 5,
"globalIndex": 39662444,
"creationHeight": 1253246,
"settlementHeight": 1253250,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 2\n4: 0\n5: 0\n6: 2\n7: 0\n8: 1\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 2\n15: 1000\n16: 0\n17: 3\n18: 0\n19: 1000\n20: 1000\n21: 1000\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 1\n36: 2\n37: 0\n38: false\n39: 0\n40: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = Coll[Byte]()\n val l3 = SELF.value\n val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n val l5 = tuple4._2\n val opt6 = SELF.R6[Coll[Long]]\n val coll7 = opt6.get\n val l8 = coll7(placeholder[Int](1))\n val coll9 = SELF.R7[Coll[Byte]].get\n val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n val bool11 = l10 < l8\n val coll12 = SELF.R4[Coll[Byte]].get\n val l13 = CONTEXT.preHeader.timestamp\n val tuple14 = SELF.R5[(Long, Long)].get\n val l15 = tuple14._1\n val l16 = tuple14._2\n val l17 = coll7.getOrElse(placeholder[Int](3), placeholder[Long](4))\n val box18 = CONTEXT.dataInputs(placeholder[Int](5))\n val i19 = box18.R4[Int].get\n val box20 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll21 = box20.tokens\n val l22 = box20.value\n val tuple23 = (coll2, l22)\n val tuple24 = coll21.getOrElse(placeholder[Int](7), tuple23)\n val box25 = OUTPUTS.getOrElse(placeholder[Int](8), SELF)\n val coll26 = box25.tokens\n val l27 = box25.value\n val tuple28 = (coll2, l27)\n val tuple29 = coll26.getOrElse(placeholder[Int](9), tuple28)\n val coll30 = SELF.R8[Coll[Byte]].get\n val bool31 = INPUTS(placeholder[Int](10)).id == SELF.id\n sigmaProp(bool11) && proveDlog(decodePoint(coll12.slice(placeholder[Int](11), coll12.size))) || sigmaProp(if (l13 > l15) { if (l13 > l16) {(\n val bool32 = (l10 >= l8) || ((l17 > placeholder[Long](12)) && (l10 >= l17))\n val box33 = OUTPUTS(placeholder[Int](13))\n val l34 = placeholder[Long](14) * box18.R6[Long].get\n val box35 = box20\n val coll36 = coll21\n val l37 = l22\n val tuple38 = tuple23\n val tuple39 = tuple24\n val i40 = placeholder[Int](15) - i19\n val box41 = box25\n val coll42 = coll26\n val l43 = l27\n val tuple44 = tuple28\n val tuple45 = tuple29\n val box46 = OUTPUTS.getOrElse(placeholder[Int](16), SELF)\n ((!bool32) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](17), box33.tokens == coll1, box33.value >= l3 - l34, box33.propositionBytes == coll12))) || (bool32 && allOf(Coll[Boolean](bool31, ((box35.propositionBytes == coll12) && (tuple39._2 >= if (coll9.size > placeholder[Int](18)) { l10 * i40.toLong / placeholder[Long](19) } else { l10 * i40.toLong / placeholder[Long](20) - l34 })) && (tuple39._1 == coll9), ((box41.propositionBytes == box18.R5[Coll[Byte]].get) && (tuple45._2 >= l10 * i19.toLong / placeholder[Long](21))) && (tuple45._1 == coll9), box46.propositionBytes == coll30, coll1(placeholder[Int](22)) == box46.tokens(placeholder[Int](23)))))\n )} else {(\n val box32 = OUTPUTS(placeholder[Int](24))\n val coll33 = box32.tokens\n val tuple34 = coll33.getOrElse(placeholder[Int](25), (coll2, box32.value))\n val l35 = tuple34._2\n val bool36 = l17 > placeholder[Long](26)\n val coll37 = box18.R7[Coll[Long]].get\n val box38 = OUTPUTS(placeholder[Int](27))\n val tuple39 = box38.tokens.getOrElse(placeholder[Int](28), (coll2, box38.value))\n allOf(Coll[Boolean](bool31, tuple34._1 == coll9, (l35 >= if (bool11) { l8 } else { l10 + coll7(placeholder[Int](29)) }) || (bool36 && (l35 >= l17)), coll1(placeholder[Int](30)) == coll33(placeholder[Int](31)), box32.propositionBytes == SELF.propositionBytes, box32.R4[Coll[Byte]].get == coll12, if (bool36 && (l35 >= l17)) {(\n val tuple40 = box32.R5[(Long, Long)].get\n (tuple40._1 == l15) && (tuple40._2 <= l13)\n )} else { box32.R5[(Long, Long)].get == (l15, if (l16 - l13 <= coll37(placeholder[Int](32))) { l16 + coll37(placeholder[Int](33)) } else { l16 }) }, box32.R6[Coll[Long]] == opt6, box32.R7[Coll[Byte]].get == coll9, coll33.size == if (coll9.size == placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, box38.propositionBytes == coll30, ((tuple39._1 == coll9) && (tuple39._2 >= l10)) || (l10 == placeholder[Long](37))))\n )} } else { placeholder[Boolean](38) }) && sigmaProp(box18.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n}",
"address": "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",
"assets": [
{
"tokenId": "f5406ae064f14082803333d43086751d42afa3d66e267cb2666549b1236b992e",
"index": 0,
"amount": 1,
"name": "Mr. Sylas",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "59b2d9aafee463b2cac5bee963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714361292377,1714965492377]"
},
"R6": {
"serializedValue": "110380d88ee16f80a8d6b90780e8eda1ba01",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15000000000,1000000000,25000000000]"
},
"R8": {
"serializedValue": "0e240008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
"serializedValue": "0e240008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e"
}
},
"spentTransactionId": "8fc13d0aa29e700c2e92c9757b592d40707b90da760e81b4d84b1eddd3c6dbb9",
"mainChain": true
},
{
"boxId": "f124a0a5a9556e0a928d614f3072d0dab795687afdc20b04ff540c08bdc9e3d5",
"transactionId": "b7f885ffcbb6ed2019b875c0dfed2fe8ed66593b7a4d8002cd1b54933a11bf5f",
"blockId": "bc3af666439efb2da194ba663ed53497e1abf66d63fb9189063ecc006a5b7c69",
"value": 15000000,
"index": 6,
"globalIndex": 39662445,
"creationHeight": 1253246,
"settlementHeight": 1253250,
"ergoTree": "102904020400050004040500040004040400040204000400040605000400050404d00f04000406040005d00f05d00f05d00f0400040004000402050004020400040204000400040004020400040204040500010004000e209ebcd694bf34db4ee3e2ccea0087ca42970743b9e019a1e8d145e8560467c60ed81fd601db6308a7d602830002d603c1a7d604b27201730001860272027203d6058c720402d606c6a70611d607e47206d608b27207730100d609e4c6a7070ed60a95ec8f72057208948c720401720973027205d60b8f720a7208d60ce4c6a7040ed60ddb6903db6503fed60ee4c6a70559d60f8c720e01d6108c720e02d611b272077303017304d612b2db6501fe730500d613e4c672120404d614b2a5730601a7d615db63087214d616c17214d617860272027216d618b272157307017217d619b2a5730801a7d61adb63087219d61bc17219d61c86027202721bd61db2721a730901721cd61ee4c6a7080ed61f93c5b2a4730a00c5a7ea02eb02ea02d1720bcdeeb4720c730bb1720cd19591720d720f9591720d7210d80fd620ec92720a7208ed917211730c92720a7211d621b2a5730d00d6229c730ee4c672120605d6237214d6247215d6257216d6267217d6277218d62899730f7213d6297219d62a721ad62b721bd62c721cd62d721dd62eb2a5731001a7ecedef72209683040193b1a5731193db63087221720192c17221997203722293c27221720ced722096830501721feded93c27223720c928c7227029591b1720973129d9c720a7e7228057313999d9c720a7e72280573147222938c7227017209eded93c27229e4c67212050e928c722d029d9c720a7e7213057315938c722d01720993c2722e721e93b27201731600b2db6308722e731700d808d620b2a5731800d621db63087220d622b2722173190186027202c17220d6238c722202d624917211731ad625e4c672120711d626b2a5731b00d627b2db63087226731c0186027202c1722696830c01721f938c7222017209ec92722395720b72089a720ab27207731d00ed7224927223721193b27201731e00b27221731f0093c27220c2a793e4c67220040e720c95ed72249272237211d801d628e4c672200559ed938c722801720f908c722802720d93e4c6722005598602720f9590997210720db272257320009a7210b27225732100721093c672200611720693e4c67220070e720993b172219593b1720973227323732493c27226721eeced938c7227017209928c722702720a93720a73257326d1938cb2db63087212732700017328",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 2\n4: 0\n5: 0\n6: 2\n7: 0\n8: 1\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 2\n15: 1000\n16: 0\n17: 3\n18: 0\n19: 1000\n20: 1000\n21: 1000\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 1\n36: 2\n37: 0\n38: false\n39: 0\n40: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = Coll[Byte]()\n val l3 = SELF.value\n val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n val l5 = tuple4._2\n val opt6 = SELF.R6[Coll[Long]]\n val coll7 = opt6.get\n val l8 = coll7(placeholder[Int](1))\n val coll9 = SELF.R7[Coll[Byte]].get\n val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n val bool11 = l10 < l8\n val coll12 = SELF.R4[Coll[Byte]].get\n val l13 = CONTEXT.preHeader.timestamp\n val tuple14 = SELF.R5[(Long, Long)].get\n val l15 = tuple14._1\n val l16 = tuple14._2\n val l17 = coll7.getOrElse(placeholder[Int](3), placeholder[Long](4))\n val box18 = CONTEXT.dataInputs(placeholder[Int](5))\n val i19 = box18.R4[Int].get\n val box20 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll21 = box20.tokens\n val l22 = box20.value\n val tuple23 = (coll2, l22)\n val tuple24 = coll21.getOrElse(placeholder[Int](7), tuple23)\n val box25 = OUTPUTS.getOrElse(placeholder[Int](8), SELF)\n val coll26 = box25.tokens\n val l27 = box25.value\n val tuple28 = (coll2, l27)\n val tuple29 = coll26.getOrElse(placeholder[Int](9), tuple28)\n val coll30 = SELF.R8[Coll[Byte]].get\n val bool31 = INPUTS(placeholder[Int](10)).id == SELF.id\n sigmaProp(bool11) && proveDlog(decodePoint(coll12.slice(placeholder[Int](11), coll12.size))) || sigmaProp(if (l13 > l15) { if (l13 > l16) {(\n val bool32 = (l10 >= l8) || ((l17 > placeholder[Long](12)) && (l10 >= l17))\n val box33 = OUTPUTS(placeholder[Int](13))\n val l34 = placeholder[Long](14) * box18.R6[Long].get\n val box35 = box20\n val coll36 = coll21\n val l37 = l22\n val tuple38 = tuple23\n val tuple39 = tuple24\n val i40 = placeholder[Int](15) - i19\n val box41 = box25\n val coll42 = coll26\n val l43 = l27\n val tuple44 = tuple28\n val tuple45 = tuple29\n val box46 = OUTPUTS.getOrElse(placeholder[Int](16), SELF)\n ((!bool32) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](17), box33.tokens == coll1, box33.value >= l3 - l34, box33.propositionBytes == coll12))) || (bool32 && allOf(Coll[Boolean](bool31, ((box35.propositionBytes == coll12) && (tuple39._2 >= if (coll9.size > placeholder[Int](18)) { l10 * i40.toLong / placeholder[Long](19) } else { l10 * i40.toLong / placeholder[Long](20) - l34 })) && (tuple39._1 == coll9), ((box41.propositionBytes == box18.R5[Coll[Byte]].get) && (tuple45._2 >= l10 * i19.toLong / placeholder[Long](21))) && (tuple45._1 == coll9), box46.propositionBytes == coll30, coll1(placeholder[Int](22)) == box46.tokens(placeholder[Int](23)))))\n )} else {(\n val box32 = OUTPUTS(placeholder[Int](24))\n val coll33 = box32.tokens\n val tuple34 = coll33.getOrElse(placeholder[Int](25), (coll2, box32.value))\n val l35 = tuple34._2\n val bool36 = l17 > placeholder[Long](26)\n val coll37 = box18.R7[Coll[Long]].get\n val box38 = OUTPUTS(placeholder[Int](27))\n val tuple39 = box38.tokens.getOrElse(placeholder[Int](28), (coll2, box38.value))\n allOf(Coll[Boolean](bool31, tuple34._1 == coll9, (l35 >= if (bool11) { l8 } else { l10 + coll7(placeholder[Int](29)) }) || (bool36 && (l35 >= l17)), coll1(placeholder[Int](30)) == coll33(placeholder[Int](31)), box32.propositionBytes == SELF.propositionBytes, box32.R4[Coll[Byte]].get == coll12, if (bool36 && (l35 >= l17)) {(\n val tuple40 = box32.R5[(Long, Long)].get\n (tuple40._1 == l15) && (tuple40._2 <= l13)\n )} else { box32.R5[(Long, Long)].get == (l15, if (l16 - l13 <= coll37(placeholder[Int](32))) { l16 + coll37(placeholder[Int](33)) } else { l16 }) }, box32.R6[Coll[Long]] == opt6, box32.R7[Coll[Byte]].get == coll9, coll33.size == if (coll9.size == placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, box38.propositionBytes == coll30, ((tuple39._1 == coll9) && (tuple39._2 >= l10)) || (l10 == placeholder[Long](37))))\n )} } else { placeholder[Boolean](38) }) && sigmaProp(box18.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Jack",
"decimals": 0,
"type": "EIP-004"
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],
"additionalRegisters": {
"R5": {
"serializedValue": "59daa3abfee463da94c6bee963",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714361297133,1714965497133]"
},
"R6": {
"serializedValue": "110380d88ee16f80a8d6b90780e8eda1ba01",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15000000000,1000000000,25000000000]"
},
"R8": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e"
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"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
"serializedValue": "0e240008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e"
}
},
"spentTransactionId": "8fc13d0aa29e700c2e92c9757b592d40707b90da760e81b4d84b1eddd3c6dbb9",
"mainChain": true
},
{
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"transactionId": "b7f885ffcbb6ed2019b875c0dfed2fe8ed66593b7a4d8002cd1b54933a11bf5f",
"blockId": "bc3af666439efb2da194ba663ed53497e1abf66d63fb9189063ecc006a5b7c69",
"value": 150755718213,
"index": 7,
"globalIndex": 39662446,
"creationHeight": 1253246,
"settlementHeight": 1253250,
"ergoTree": "0008cd03fcce43f83bee588675595e706e19b2925cdc0ef0c4f4be840313c145f6976d1e",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fcce43,4fd74a,...)))}",
"address": "9iP9GsEp5roMcUtfWspaeh8bNA8hTLUwq3d4prH5vNH3b4dKqJ6",
"assets": [
{
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