Transaction
ID: 8085dd6aa0...53a9
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.205 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.203 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
4
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 68,908
Total coins transferred: 0.207 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000186 ERG
Raw Transaction Data
{
"id": "8085dd6aa043eb9f57dad8d03c07be4dcb8c604296be88f036c4d82aa6eb53a9",
"blockId": "e2e5a5c5398213f2eca9180460ff628a5b512b1ed3a9e3fa60c8c4d81dcdf554",
"inclusionHeight": 1707458,
"timestamp": 1769341307667,
"index": 4,
"globalIndex": 10197860,
"numConfirmations": 68908,
"inputs": [
{
"boxId": "0cc83f3f521030c94d4540b3d9aebeca0570c083f48cfdc8a112251acfe45a1d",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "f2cec4e56d34bdbbe6ed6e32b886d3b5ebe3b9cd8b270128a71243b973f6023f",
"outputTransactionId": "a726aa6dacc583eb3d8a2cdf6bda82bac12550b67836f034711d8633c9a90600",
"outputIndex": 0,
"outputGlobalIndex": 53176683,
"outputCreatedAt": 1707454,
"outputSettledAt": 1707455,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: 2\n7: 2\n8: 3\n9: 3\n10: 1000000\n11: CBigInt(1000000000000000)\n12: 9000000000000000\n13: 0\n14: 0\n15: Coll(-57,-21,-109,80,114,30,-117,87,-99,56,22,-126,-104,-19,36,-44,-1,-97,86,-116,20,20,-111,-31,-85,111,-71,-38,51,85,127,81)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(73,-124,-63,79,-28,107,80,-59,81,23,36,-45,49,-101,35,16,74,70,102,-91,-108,-91,124,-121,120,67,-6,13,-81,-47,-16,-101)\n22: 0\n23: 0\n24: -1\n25: Coll(-54,-70,-98,43,15,-27,-26,17,39,115,-116,-114,-100,-55,-96,60,67,58,-45,-47,-18,40,47,-68,-25,-44,-99,11,11,-59,44,6)\n26: 9000000000000010\n27: 9000000000000010\n28: 0\n29: 0\n30: 0\n31: 0\n32: 2\n33: 1\n34: 3\n35: 1000000\n36: 4\n37: 5\n38: false\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 6\n47: 2\n48: 4\n49: 0\n50: -1\n51: 100000000\n52: 1\n53: 1000\n54: 0\n55: 0\n56: 0\n57: 1\n58: 4000000\n59: 0\n60: 1\n61: 3\n62: 2\n63: 5\n64: 3\n65: 4\n66: 5\n67: 6\n68: 7\n69: 7\n70: 8\n71: 9\n72: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val box2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == coll1(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll3 = box2.tokens\n val tuple4 = coll3(placeholder[Int](4))\n val tuple5 = coll1(placeholder[Int](5))\n val tuple6 = coll3(placeholder[Int](6))\n val tuple7 = coll1(placeholder[Int](7))\n val coll8 = tuple7._1\n val tuple9 = coll3(placeholder[Int](8))\n val tuple10 = coll1(placeholder[Int](9))\n val coll11 = tuple10._1\n val bool12 = (\n (\n (\n (\n (\n (\n (\n (\n (((box2.propositionBytes == SELF.propositionBytes) && (tuple4._1 == tuple5._1)) && (tuple6._1 == coll8)) && (\n box2.value >= placeholder[Long](10)\n )\n ) && (tuple9._1 == coll11)\n ) && (coll3.size == coll1.size)\n ) && box2.R4[Boolean].get\n ) && box2.R5[Boolean].get\n ) && box2.R6[Boolean].get\n ) && box2.R7[Boolean].get\n ) && box2.R8[Boolean].get\n ) && box2.R9[Boolean].get\n val bi13 = placeholder[BigInt](11)\n val l14 = tuple9._2\n val l15 = tuple6._2\n val l16 = placeholder[Long](12) - l15\n val coll17 = CONTEXT.dataInputs\n val bi18 = coll17.filter({(box18: Box) =>\n val coll20 = box18.tokens\n (coll20.size > placeholder[Int](13)) && (coll20(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15))\n })(placeholder[Int](16)).R5[BigInt].get\n val bi19 = placeholder[BigInt](17)\n val bi20 = l16.toBigInt * bi18 / bi19\n val l21 = tuple10._2\n val l22 = tuple7._2\n val l23 = placeholder[Long](18) - l22\n val box24 = coll17.filter({(box24: Box) =>\n val coll26 = box24.tokens\n (coll26.size > placeholder[Int](19)) && (coll26(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n })(placeholder[Int](22))\n val coll25 = box24.R5[Coll[Byte]].get\n val coll26 = OUTPUTS.filter({(box26: Box) => box26.propositionBytes == coll25 })\n val coll27 = box24.R6[Coll[Long]].get\n val l28 = l14 - l21\n val bool29 = l28 > placeholder[Long](23)\n val l30 = if (bool29) { l28 } else { l28 * placeholder[Long](24) }\n val bool31 = tuple4 == tuple5\n val l32 = l16 - l23\n val coll33 = OUTPUTS.filter({(box33: Box) => blake2b256(box33.propositionBytes) == placeholder[Coll[Byte]](25) })\n sigmaProp(\n (\n (\n (\n (bool12 && (tuple6 == tuple7)) && (\n bi13 * l14.toBigInt + bi20 / placeholder[Long](26) - tuple4._2.toBigInt > bi13 * l21.toBigInt + l23.toBigInt * bi18 / bi19 / placeholder[Long](\n 27\n ) - tuple5._2.toBigInt\n )\n ) && if (coll26.size > placeholder[Int](28)) {(\n val box34 = coll26(placeholder[Int](29))\n val tuple35 = box34.tokens(placeholder[Int](30))\n val l36 = coll27(placeholder[Int](31))\n val l37 = coll27(placeholder[Int](32))\n val l38 = coll27(placeholder[Int](33))\n val l39 = coll27(placeholder[Int](34))\n ((box34.propositionBytes == coll25) && (box34.value >= placeholder[Long](35))) && (\n (\n tuple35._2 >= max(\n if (l30 <= l36) { l30 / l37 } else {\n if (l30 <= l38) { l30 - l36 / l39 + l36 / l37 } else { l30 - l38 - l36 / coll27(placeholder[Int](36)) + l38 / l39 + l36 / l37 }\n }, coll27(placeholder[Int](37))\n )\n ) && (tuple35._1 == coll11)\n )\n )} else { placeholder[Boolean](38) }\n ) || (((bool12 && bool31) && bool29) && (l32 < placeholder[Long](39)))\n ) || if (coll33.size > placeholder[Int](40)) {(\n val box34 = coll33(placeholder[Int](41))\n val tuple35 = box34.tokens(placeholder[Int](42))\n val l36 = tuple35._2\n val bi37 = l36.toBigInt * bi18 / bi19\n val box38 = OUTPUTS.filter({(box38: Box) =>\n val coll40 = box38.tokens\n (coll40.size > placeholder[Int](43)) && box24.R4[Coll[Coll[Byte]]].get.exists({(coll41: Coll[Byte]) => (coll40(placeholder[Int](44))._1 == coll41) && (coll41 == box34.R7[Coll[Byte]].get) })\n })(placeholder[Int](45))\n val coll39 = box38.R4[Coll[Long]].get\n val l40 = coll39(placeholder[Int](46))\n val l41 = coll39(placeholder[Int](47))\n val l42 = box34.value\n val l43 = coll39(placeholder[Int](48))\n val coll44 = box34.R9[Coll[Long]].get\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((bool12 && bool31) && (l36 + l15 == l22)) && (l28 < placeholder[Long](49))) && (\n (l28 * placeholder[Long](50).toBigInt == bi37) && (bi37 >= l40.toBigInt)\n )\n ) && (l32 == l36)\n ) && (tuple35._1 == coll8)\n ) && (box34.R6[Long].get == placeholder[Long](51))\n ) && (coll39(placeholder[Int](52)).toBigInt >= bi37 * l41.toBigInt / placeholder[Int](53).toBigInt)\n ) && (bi20 < coll39(placeholder[Int](54)).toBigInt)\n ) && (\n OUTPUTS.map({(box45: Box) => box45.id }).indexOf(box34.id, placeholder[Int](55)) == box38.R9[Coll[Int]].get(placeholder[Int](56)) - placeholder[\n Int\n ](57)\n )\n ) && ((l42 > placeholder[Long](58)) && (l42 >= l43))\n ) && (\n (\n (\n (\n (\n (\n ((coll44(placeholder[Int](59)) == l41) && (coll44(placeholder[Int](60)) == coll39(placeholder[Int](61)))) && (\n coll44(placeholder[Int](62)) == coll39(placeholder[Int](63))\n )\n ) && (coll44(placeholder[Int](64)) == l43)\n ) && (coll44(placeholder[Int](65)) == l40)\n ) && (coll44(placeholder[Int](66)) >= HEIGHT.toLong)\n ) && (coll44(placeholder[Int](67)) == coll39(placeholder[Int](68)))\n ) && (coll44(placeholder[Int](69)) == coll39(placeholder[Int](70)))\n )\n ) && (bi37 <= coll39(placeholder[Int](71)).toBigInt)\n )} else { placeholder[Boolean](72) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "127a2cca78f1f4b4a909df020ff4558b2061b58a94d62b73991ac4d6ab6320c1",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "55d0337ead7772d8be732852bcf009dddfbd2ace7e75f462126269524e704081",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "8e5d948b742235dd57a0b61ab77d7455e9178045f336bb1c358eccbe8a693183",
"index": 2,
"amount": 9000000000000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 12000010,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R6": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R8": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R7": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R9": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R4": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
}
}
},
{
"boxId": "283432017c8d077fb3724d74aecce239a482f7e9c01d5064cf9d2c0e75ba4780",
"value": 205000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "0448ccee631c331e180e2969986e65fb12abd17067bd73bb488cc388e35342d7",
"outputTransactionId": "f7745c124b10ddbe789de8e2de0eb8b694a8b0966e49a507f018384b17b05079",
"outputIndex": 0,
"outputGlobalIndex": 53176700,
"outputCreatedAt": 1707455,
"outputSettledAt": 1707456,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: 1000000\n3: 1\n4: 2\n5: 0\n6: Coll(-54,-70,-98,43,15,-27,-26,17,39,115,-116,-114,-100,-55,-96,60,67,58,-45,-47,-18,40,47,-68,-25,-44,-99,11,11,-59,44,6)\n7: 1000000\n8: 1000000\n9: 1\n10: 1\n11: Coll(-114,93,-108,-117,116,34,53,-35,87,-96,-74,26,-73,125,116,85,-23,23,-128,69,-13,54,-69,28,53,-114,-52,-66,-118,105,49,-125)\n12: 0\n13: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n14: 5\n15: 10\n16: 0\n17: 0\n18: Coll(18,122,44,-54,120,-15,-12,-76,-87,9,-33,2,15,-12,85,-117,32,97,-75,-118,-108,-42,43,115,-103,26,-60,-42,-85,99,32,-63)\n19: 0\n20: 0",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Byte]].get\n val coll2 = SELF.R5[Coll[Long]].get\n val ge3 = SELF.R9[GroupElement].get\n sigmaProp(if (OUTPUTS.size < placeholder[Int](0)) {(\n val box4 = OUTPUTS(placeholder[Int](1))\n (((box4.propositionBytes == coll1) && (SELF.value - box4.value <= placeholder[Long](2))) && (box4.R4[Coll[Byte]].get == SELF.id)) && (HEIGHT >= SELF.R6[Int].get)\n )} else {(\n val box4 = OUTPUTS(placeholder[Int](3))\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box4.tokens\n val tuple7 = coll6(placeholder[Int](5))\n (((((((((((blake2b256(box4.propositionBytes) == placeholder[Coll[Byte]](6)) && (box5.propositionBytes == coll1)) && ((box4.value == SELF.value - placeholder[Long](7) - placeholder[Long](8)) && (coll6.slice(placeholder[Int](9), coll6.size) == SELF.tokens))) && (((coll2(placeholder[Int](10)) >= tuple7._2) && (tuple7._1 == placeholder[Coll[Byte]](11))) && (box5.tokens(placeholder[Int](12))._1 == placeholder[Coll[Byte]](13)))) && (box4.R4[Coll[Byte]].get == coll1)) && (box4.R8[Coll[Byte]].get == SELF.R7[Coll[Byte]].get)) && (box4.R9[Coll[Long]].get(placeholder[Int](14)) <= HEIGHT + placeholder[Int](15).toLong)) && (SELF.R8[Coll[Byte]].get == box4.R7[Coll[Byte]].get)) && (ge3 == box4.R5[GroupElement].get)) && (INPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))._1 == placeholder[Coll[Byte]](18))) && (box5.tokens(placeholder[Int](19))._2 == coll2(placeholder[Int](20)))) && (box5.R4[Coll[Byte]].get == SELF.id)\n )}) || proveDlog(ge3)\n}",
"address": "2H6MZUwvVUd37EZfGgfuKuae1a99oxYqt3pZ9a9bHmYqTbLxccmRFmTgEVDFEqwQdM6gtF98qor7j6QVGY4HgaAnayu8UcUUwudj3VnoM7sFkpRr2CcTWSQTA476AZSGg5mzNcZtZupyFtY7AfBNdTmhakyCktq3yY8ao1ncuofNURBRhj2awBDTDXGvhqrTgSpXzaY8mCDAUUNL8W4E7jYc946VtrwvqCTfSMoc7pRSZW4hprFPB2BhazaB9V1bYRJEVSchTos9jgj61Vo8VYKFFUytLYxf9NFNMrM2Q4YSSkSLhp6jEPtxYHemXGqNdG3euMDcUBp7fKwpNrxrwDoMs9bgAK5SvuvRhKJqrFxpuCPiX5Msm3Dt1RCZfhA1UpVfK9AMWEzoXw2zfWR7vWPHMmxMTWdhxstXK8rPsryqAdYgLxEu1opawjwL2887v9fqrBmVPbv1z2sWNdf9svjmPvMoKFnSyCoQe52uvbuHRjtuNYghbDudRBhqMR6nHBxQncHLW5kBmPZZE5uNZV5hG9pmaRqp7fmjtH8qXr5sQhe41acJtn5sjCqBxKcdEpuwsMpVR5c17KEKVnYVytFw8wuoX79DqYinqH8EP973nsHbP6Kj785AL1gP6PJurtCCQPLQ9ZyLZY",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "110680a4e80380a4e803b6163c108087a70e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[4000000,4000000,1435,30,8,15000000]"
},
"R6": {
"serializedValue": "0498b7d001",
"sigmaType": "SInt",
"renderedValue": "1707468"
},
"R8": {
"serializedValue": "0e208138efa43399227cdee9cdd012cd753ad8ee322f1d88aec40f216568463fc27f",
"sigmaType": "Coll[SByte]",
"renderedValue": "8138efa43399227cdee9cdd012cd753ad8ee322f1d88aec40f216568463fc27f"
},
"R7": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R9": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
},
{
"boxId": "c7d6472532488772ef1adc4048e67214f6c881f2f5de731f333cae46071048ec",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "d0d35381eb5fe99e81a69ecbf1a6716158208aeae04f7bbd701d0d7375810b57",
"outputTransactionId": "7f508305f49e6d7a9439e72ffea1d3109bccc13059065f8db4421be01cbd2e25",
"outputIndex": 9,
"outputGlobalIndex": 53176494,
"outputCreatedAt": 1707443,
"outputSettledAt": 1707445,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 4\n6: 4\n7: 5\n8: 5\n9: 6\n10: 6\n11: 8\n12: 8\n13: 7\n14: 7\n15: 1\n16: 0\n17: 0\n18: 1\n19: -1\n20: 1\n21: 1\n22: CBigInt(0)\n23: CBigInt(2)\n24: CBigInt(100)\n25: CBigInt(1000)\n26: 0\n27: 2\n28: 5000000\n29: 1000000000000\n30: 1\n31: 0\n32: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n33: 2\n34: 1\n35: 3\n36: 1000\n37: 0\n38: 30\n39: 0\n40: 0\n41: 2\n42: 1\n43: 2\n44: 1001\n45: 1\n46: 0\n47: 2\n48: 0\n49: 1\n50: 0\n51: 0\n52: 4000000\n53: 1\n54: 0\n55: 1000\n56: 0\n57: 0\n58: 9\n59: 9\n60: 0\n61: 0\n62: 0",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val box2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll3 = box2.propositionBytes\n val coll4 = box2.R4[Coll[Long]].get\n val l5 = coll4(placeholder[Int](4))\n val coll6 = SELF.R4[Coll[Long]].get\n val l7 = coll6(placeholder[Int](5))\n val l8 = coll4(placeholder[Int](6))\n val l9 = coll6(placeholder[Int](7))\n val l10 = coll4(placeholder[Int](8))\n val l11 = coll6(placeholder[Int](9))\n val l12 = coll4(placeholder[Int](10))\n val l13 = coll6(placeholder[Int](11))\n val l14 = coll4(placeholder[Int](12))\n val l15 = coll6(placeholder[Int](13))\n val l16 = coll4(placeholder[Int](14))\n val coll17 = SELF.R5[Coll[Coll[Byte]]].get\n val coll18 = box2.R5[Coll[Coll[Byte]]].get\n val coll19 = SELF.R6[Coll[Long]].get\n val coll20 = box2.R6[Coll[Long]].get\n val coll21 = CONTEXT.dataInputs\n val coll22 = box2.R9[Coll[Int]].get\n val i23 = coll22(placeholder[Int](15))\n val box24 = coll21(i23)\n val coll25 = box24.tokens\n val i26 = coll22(placeholder[Int](16))\n val box27 = if (i26 > placeholder[Int](17)) { OUTPUTS(i26 - placeholder[Int](18)) } else { INPUTS(i26 * placeholder[Int](19) - placeholder[Int](20)) }\n val bi28 = box27.value.toBigInt\n val coll29 = coll21.slice(i23 + placeholder[Int](21), coll21.size)\n val coll30 = box2.R7[Coll[Long]].get\n val bi31 = placeholder[BigInt](22)\n val bi32 = placeholder[BigInt](23)\n val bi33 = placeholder[BigInt](24)\n val bi34 = placeholder[BigInt](25)\n val bi35 = bi28 + coll29.zip(coll30).fold(bi31, {(tuple35: (BigInt, (Box, Long))) =>\n val tuple37 = tuple35._2\n val l38 = tuple37._2\n val box39 = tuple37._1\n val bi40 = tuple35._1\n if (l38 > placeholder[Long](26)) {(\n val bi41 = l38.toBigInt\n val bi42 = box39.R4[Int].get.toBigInt\n val bi43 = box39.tokens(placeholder[Int](27))._2.toBigInt\n bi40 + box39.value.toBigInt * bi41 * bi42 / bi43 + bi43 * bi32 / bi33 * bi34 + bi41 * bi42\n )} else { bi40 }\n }) - placeholder[Int](28).toBigInt\n val bi36 = box24.R4[Int].get.toBigInt\n val bi37 = box24.value.toBigInt\n val l38 = placeholder[Long](29)\n val coll39 = box27.tokens\n val i40 = coll39.size\n val coll41 = box2.R8[Coll[Coll[Byte]]].get\n val coll42 = coll18.slice(placeholder[Int](30), coll18.size)\n val i43 = coll29.size\n val i44 = coll30.size\n sigmaProp(\n (\n (\n (\n (\n (\n (((((coll1 == coll3) && (SELF.value == box2.value)) && (SELF.tokens == box2.tokens)) && (l5 == placeholder[Long](31))) && (l7 == l8)) && (\n l9 == l10\n )\n ) && (l11 == l12)\n ) && (l13 == l14)\n ) && (l15 == l16)\n ) && (coll17 == coll18)\n ) && (coll19 == coll20)\n ) && placeholder[SigmaProp](32) || sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((coll3 == coll1) && ((coll18 == coll17) && (coll20 == coll19))) && (\n coll25(placeholder[Int](33))._2.toBigInt * bi35 * bi36 / bi37 + bi37 * bi32 / bi33 * bi34 + bi35 * bi36 == coll4(\n placeholder[Int](34)\n ).toBigInt\n )\n ) && (max(min(coll4(placeholder[Int](35)), placeholder[Long](36)), placeholder[Long](37)) == placeholder[Long](38))\n ) && (bi28 * l38.toBigInt * coll20(placeholder[Int](39)).toBigInt / bi35 + coll30.indices.fold(bi31, {(tuple45: (BigInt, Int)) =>\n val i47 = tuple45._2\n val l48 = coll30(i47)\n val bi49 = tuple45._1\n if (l48 > placeholder[Long](40)) {(\n val box50 = coll29(i47)\n val bi51 = l48.toBigInt\n val bi52 = box50.R4[Int].get.toBigInt\n val bi53 = box50.tokens(placeholder[Int](41))._2.toBigInt\n bi49 + box50.value.toBigInt * bi51 * bi52 / bi53 + bi53 * bi32 / bi33 * bi34 + bi51 * bi52 * l38.toBigInt * coll20.slice(placeholder[Int](42), coll20.size)(i47).toBigInt / bi35\n )} else { bi49 }\n }) / l38.toBigInt == max(coll4(placeholder[Int](43)), placeholder[Long](44)).toBigInt)\n ) && coll39.slice(placeholder[Int](45), i40).forall(\n {(tuple45: (Coll[Byte], Long)) => coll41.zip(coll30).exists({(tuple47: (Coll[Byte], Long)) => tuple47 == tuple45 }) }\n )\n ) && coll42.indices.forall({(i45: Int) =>\n val coll47 = coll29(i45).tokens\n (coll42(i45) == coll47(placeholder[Int](46))._1) && (coll41(i45) == coll47(placeholder[Int](47))._1)\n })\n ) && ((i43 == i44) && (i43 == coll42.size))\n ) && (i44 == coll41.size)\n ) && (coll30.filter({(l45: Long) => l45 == placeholder[Long](48) }).size == i44 - i40 - placeholder[Int](49))\n ) && (coll6(placeholder[Int](50)) == max(l5, placeholder[Long](51)))\n ) && (l7 == max(l8, placeholder[Long](52)))\n ) && (l9 == max(l10, placeholder[Long](53)))\n ) && (l11 == max(l12, placeholder[Long](54)))\n ) && (l15 == max(min(l16, placeholder[Long](55)), placeholder[Long](56)))\n ) && (l13 == max(l14, placeholder[Long](57)))\n ) && (coll6(placeholder[Int](58)) == max(coll4(placeholder[Int](59)), placeholder[Long](60)))\n ) && (coll25(placeholder[Int](61))._1 == coll18(placeholder[Int](62)))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "8138efa43399227cdee9cdd012cd753ad8ee322f1d88aec40f216568463fc27f",
"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110a80a0b787e90500003c8087a70e1000641e80b48913",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,0,0,30,15000000,8,0,50,15,20000000]"
},
"R5": {
"serializedValue": "1a012046463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[46463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1]"
},
"R6": {
"serializedValue": "1101f015",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1400]"
}
}
}
],
"dataInputs": [
{
"boxId": "6e32541e069ae85a4fdf3a67cc6282b8708244c95ce9882922f1de8ed96c11ae",
"value": 1000000,
"index": 0,
"outputBlockId": "d0d35381eb5fe99e81a69ecbf1a6716158208aeae04f7bbd701d0d7375810b57",
"outputTransactionId": "663361ea1a94e56d99288b799641379161982a76338f4b90b7a3b849d29e9035",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05e2b6d001",
"sigmaType": "SLong",
"renderedValue": "1707441"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
},
{
"boxId": "e97f71a733a3b7ff85a58253d619dd13238f911be6662541f21e1d2352b23ca5",
"value": 1000000,
"index": 1,
"outputBlockId": "d0d35381eb5fe99e81a69ecbf1a6716158208aeae04f7bbd701d0d7375810b57",
"outputTransactionId": "73bec33f61c56d8e3ffb86e4b09a5601768419b169e711a1178c085d269646a7",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
"address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01208138efa43399227cdee9cdd012cd753ad8ee322f1d88aec40f216568463fc27f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8138efa43399227cdee9cdd012cd753ad8ee322f1d88aec40f216568463fc27f]"
},
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "1106a01f80b518c0029003f40302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000,200000,160,200,250,1]"
}
}
},
{
"boxId": "70e7023d5a7e52c9e617fc714180d7f21603b5671e79dec8e2eb39679ec679e6",
"value": 18212416862359,
"index": 2,
"outputBlockId": "a22193c71f3b82bc5bf01cd67e1c430ffbaab904142b3c71a28e623b1d43fa45",
"outputTransactionId": "12ef44d01c154a01d8930a26c603ac2987d33556f04e78a7b391631405fe10e9",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
}
],
"outputs": [
{
"boxId": "4f279b632f45775365bc0178b552edb8de5959bbf1a4b8b3e767aab1f9b58cd8",
"transactionId": "8085dd6aa043eb9f57dad8d03c07be4dcb8c604296be88f036c4d82aa6eb53a9",
"blockId": "e2e5a5c5398213f2eca9180460ff628a5b512b1ed3a9e3fa60c8c4d81dcdf554",
"value": 1000000,
"index": 0,
"globalIndex": 53176760,
"creationHeight": 1707457,
"settlementHeight": 1707458,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: 2\n7: 2\n8: 3\n9: 3\n10: 1000000\n11: CBigInt(1000000000000000)\n12: 9000000000000000\n13: 0\n14: 0\n15: Coll(-57,-21,-109,80,114,30,-117,87,-99,56,22,-126,-104,-19,36,-44,-1,-97,86,-116,20,20,-111,-31,-85,111,-71,-38,51,85,127,81)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(73,-124,-63,79,-28,107,80,-59,81,23,36,-45,49,-101,35,16,74,70,102,-91,-108,-91,124,-121,120,67,-6,13,-81,-47,-16,-101)\n22: 0\n23: 0\n24: -1\n25: Coll(-54,-70,-98,43,15,-27,-26,17,39,115,-116,-114,-100,-55,-96,60,67,58,-45,-47,-18,40,47,-68,-25,-44,-99,11,11,-59,44,6)\n26: 9000000000000010\n27: 9000000000000010\n28: 0\n29: 0\n30: 0\n31: 0\n32: 2\n33: 1\n34: 3\n35: 1000000\n36: 4\n37: 5\n38: false\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 6\n47: 2\n48: 4\n49: 0\n50: -1\n51: 100000000\n52: 1\n53: 1000\n54: 0\n55: 0\n56: 0\n57: 1\n58: 4000000\n59: 0\n60: 1\n61: 3\n62: 2\n63: 5\n64: 3\n65: 4\n66: 5\n67: 6\n68: 7\n69: 7\n70: 8\n71: 9\n72: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val box2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == coll1(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll3 = box2.tokens\n val tuple4 = coll3(placeholder[Int](4))\n val tuple5 = coll1(placeholder[Int](5))\n val tuple6 = coll3(placeholder[Int](6))\n val tuple7 = coll1(placeholder[Int](7))\n val coll8 = tuple7._1\n val tuple9 = coll3(placeholder[Int](8))\n val tuple10 = coll1(placeholder[Int](9))\n val coll11 = tuple10._1\n val bool12 = (\n (\n (\n (\n (\n (\n (\n (\n (((box2.propositionBytes == SELF.propositionBytes) && (tuple4._1 == tuple5._1)) && (tuple6._1 == coll8)) && (\n box2.value >= placeholder[Long](10)\n )\n ) && (tuple9._1 == coll11)\n ) && (coll3.size == coll1.size)\n ) && box2.R4[Boolean].get\n ) && box2.R5[Boolean].get\n ) && box2.R6[Boolean].get\n ) && box2.R7[Boolean].get\n ) && box2.R8[Boolean].get\n ) && box2.R9[Boolean].get\n val bi13 = placeholder[BigInt](11)\n val l14 = tuple9._2\n val l15 = tuple6._2\n val l16 = placeholder[Long](12) - l15\n val coll17 = CONTEXT.dataInputs\n val bi18 = coll17.filter({(box18: Box) =>\n val coll20 = box18.tokens\n (coll20.size > placeholder[Int](13)) && (coll20(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15))\n })(placeholder[Int](16)).R5[BigInt].get\n val bi19 = placeholder[BigInt](17)\n val bi20 = l16.toBigInt * bi18 / bi19\n val l21 = tuple10._2\n val l22 = tuple7._2\n val l23 = placeholder[Long](18) - l22\n val box24 = coll17.filter({(box24: Box) =>\n val coll26 = box24.tokens\n (coll26.size > placeholder[Int](19)) && (coll26(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n })(placeholder[Int](22))\n val coll25 = box24.R5[Coll[Byte]].get\n val coll26 = OUTPUTS.filter({(box26: Box) => box26.propositionBytes == coll25 })\n val coll27 = box24.R6[Coll[Long]].get\n val l28 = l14 - l21\n val bool29 = l28 > placeholder[Long](23)\n val l30 = if (bool29) { l28 } else { l28 * placeholder[Long](24) }\n val bool31 = tuple4 == tuple5\n val l32 = l16 - l23\n val coll33 = OUTPUTS.filter({(box33: Box) => blake2b256(box33.propositionBytes) == placeholder[Coll[Byte]](25) })\n sigmaProp(\n (\n (\n (\n (bool12 && (tuple6 == tuple7)) && (\n bi13 * l14.toBigInt + bi20 / placeholder[Long](26) - tuple4._2.toBigInt > bi13 * l21.toBigInt + l23.toBigInt * bi18 / bi19 / placeholder[Long](\n 27\n ) - tuple5._2.toBigInt\n )\n ) && if (coll26.size > placeholder[Int](28)) {(\n val box34 = coll26(placeholder[Int](29))\n val tuple35 = box34.tokens(placeholder[Int](30))\n val l36 = coll27(placeholder[Int](31))\n val l37 = coll27(placeholder[Int](32))\n val l38 = coll27(placeholder[Int](33))\n val l39 = coll27(placeholder[Int](34))\n ((box34.propositionBytes == coll25) && (box34.value >= placeholder[Long](35))) && (\n (\n tuple35._2 >= max(\n if (l30 <= l36) { l30 / l37 } else {\n if (l30 <= l38) { l30 - l36 / l39 + l36 / l37 } else { l30 - l38 - l36 / coll27(placeholder[Int](36)) + l38 / l39 + l36 / l37 }\n }, coll27(placeholder[Int](37))\n )\n ) && (tuple35._1 == coll11)\n )\n )} else { placeholder[Boolean](38) }\n ) || (((bool12 && bool31) && bool29) && (l32 < placeholder[Long](39)))\n ) || if (coll33.size > placeholder[Int](40)) {(\n val box34 = coll33(placeholder[Int](41))\n val tuple35 = box34.tokens(placeholder[Int](42))\n val l36 = tuple35._2\n val bi37 = l36.toBigInt * bi18 / bi19\n val box38 = OUTPUTS.filter({(box38: Box) =>\n val coll40 = box38.tokens\n (coll40.size > placeholder[Int](43)) && box24.R4[Coll[Coll[Byte]]].get.exists({(coll41: Coll[Byte]) => (coll40(placeholder[Int](44))._1 == coll41) && (coll41 == box34.R7[Coll[Byte]].get) })\n })(placeholder[Int](45))\n val coll39 = box38.R4[Coll[Long]].get\n val l40 = coll39(placeholder[Int](46))\n val l41 = coll39(placeholder[Int](47))\n val l42 = box34.value\n val l43 = coll39(placeholder[Int](48))\n val coll44 = box34.R9[Coll[Long]].get\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((bool12 && bool31) && (l36 + l15 == l22)) && (l28 < placeholder[Long](49))) && (\n (l28 * placeholder[Long](50).toBigInt == bi37) && (bi37 >= l40.toBigInt)\n )\n ) && (l32 == l36)\n ) && (tuple35._1 == coll8)\n ) && (box34.R6[Long].get == placeholder[Long](51))\n ) && (coll39(placeholder[Int](52)).toBigInt >= bi37 * l41.toBigInt / placeholder[Int](53).toBigInt)\n ) && (bi20 < coll39(placeholder[Int](54)).toBigInt)\n ) && (\n OUTPUTS.map({(box45: Box) => box45.id }).indexOf(box34.id, placeholder[Int](55)) == box38.R9[Coll[Int]].get(placeholder[Int](56)) - placeholder[\n Int\n ](57)\n )\n ) && ((l42 > placeholder[Long](58)) && (l42 >= l43))\n ) && (\n (\n (\n (\n (\n (\n ((coll44(placeholder[Int](59)) == l41) && (coll44(placeholder[Int](60)) == coll39(placeholder[Int](61)))) && (\n coll44(placeholder[Int](62)) == coll39(placeholder[Int](63))\n )\n ) && (coll44(placeholder[Int](64)) == l43)\n ) && (coll44(placeholder[Int](65)) == l40)\n ) && (coll44(placeholder[Int](66)) >= HEIGHT.toLong)\n ) && (coll44(placeholder[Int](67)) == coll39(placeholder[Int](68)))\n ) && (coll44(placeholder[Int](69)) == coll39(placeholder[Int](70)))\n )\n ) && (bi37 <= coll39(placeholder[Int](71)).toBigInt)\n )} else { placeholder[Boolean](72) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "127a2cca78f1f4b4a909df020ff4558b2061b58a94d62b73991ac4d6ab6320c1",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "55d0337ead7772d8be732852bcf009dddfbd2ace7e75f462126269524e704081",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "8e5d948b742235dd57a0b61ab77d7455e9178045f336bb1c358eccbe8a693183",
"index": 2,
"amount": 8999999996000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 8000010,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R6": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R8": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R7": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R9": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R4": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
}
},
"spentTransactionId": "8fc6709eaa9034eef696629ec3837401af181fd0e7478bcde7d0c5def80ec9eb",
"mainChain": true
},
{
"boxId": "ccecfb2865ad050e7284dfb86fb162e34ed78df07ec589b8f0ba1da0fcdb991c",
"transactionId": "8085dd6aa043eb9f57dad8d03c07be4dcb8c604296be88f036c4d82aa6eb53a9",
"blockId": "e2e5a5c5398213f2eca9180460ff628a5b512b1ed3a9e3fa60c8c4d81dcdf554",
"value": 203000000,
"index": 1,
"globalIndex": 53176761,
"creationHeight": 1707457,
"settlementHeight": 1707458,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(94,-60,-75,-117,-12,-43,74,-30,89,-45,56,5,-27,-50,-47,1,-36,45,-116,34,7,122,-42,124,87,47,124,-115,-31,11,-71,-30)\n3: 0\n4: 0\n5: 0\n6: CBigInt(10000000000000000)\n7: 0\n8: 0\n9: Coll(-57,-21,-109,80,114,30,-117,87,-99,56,22,-126,-104,-19,36,-44,-1,-97,86,-116,20,20,-111,-31,-85,111,-71,-38,51,85,127,81)\n10: 0\n11: 1\n12: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n13: 0\n14: 0\n15: 1\n16: 5\n17: 7\n18: 2\n19: 0\n20: 32\n21: 32\n22: 40\n23: 1000\n24: 6\n25: 0\n26: 0\n27: 0\n28: 0\n29: 0\n30: 1\n31: 0\n32: 0\n33: 0\n34: 1\n35: 3\n36: 0\n37: 8\n38: 0\n39: 8\n40: 0\n41: 1\n42: 10000000\n43: 1\n44: 1000000\n45: 1000\n46: 1000\n47: 1000000\n48: 10000000\n49: 5\n50: 1000000\n51: 10000000\n52: 100000000\n53: 100000000\n54: true\n55: 0\n56: 0\n57: 0\n58: 1000\n59: 1\n60: 1\n61: 980000\n62: 1000000\n63: CBigInt(1)\n64: 0\n65: 0\n66: 0\n67: 0\n68: -1\n69: 1\n70: 1\n71: 2000000\n72: 0\n73: 0\n74: 0\n75: true\n76: 0\n77: 1000000",
"ergoTreeScript": "{\n val coll1 = SELF.R7[Coll[Byte]].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == coll1)\n })\n val coll3 = SELF.propositionBytes\n val coll4 = placeholder[Coll[Byte]](2)\n val i5 = INPUTS.indexOf(SELF, placeholder[Int](3))\n val coll6 = SELF.R9[Coll[Long]].get\n val coll7 = SELF.tokens\n val tuple8 = coll7(placeholder[Int](4))\n val coll9 = tuple8._1\n val coll10 = SELF.R4[Coll[Byte]].get\n val ge11 = SELF.R5[GroupElement].get\n val l12 = SELF.R6[Long].get\n val coll13 = SELF.R8[Coll[Byte]].get\n val l14 = SELF.value\n val func15 = {(box15: Box) =>\n val coll17 = box15.propositionBytes\n val bool18 = coll17 == coll3\n bool18\n }\n val coll16 = OUTPUTS.filter(func15)\n val box17 = coll16.getOrElse(i5, SELF)\n val coll18 = box17.tokens\n val tuple19 = coll18(placeholder[Int](5))\n val l20 = tuple19._2\n val bi21 = placeholder[BigInt](6)\n val bi22 = CONTEXT.dataInputs.filter({(box22: Box) =>\n val coll24 = box22.tokens\n (coll24.size > placeholder[Int](7)) && (coll24(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9))\n })(placeholder[Int](10)).R5[BigInt].get\n val l23 = tuple8._2\n val bi24 = l23.toBigInt\n val coll25 = coll7.slice(placeholder[Int](11), coll7.size)\n val coll26 = placeholder[Coll[Byte]](12)\n val func27 = {(box27: Box) =>\n val coll29 = box27.propositionBytes\n val coll30 = blake2b256(coll29)\n val bool31 = coll30 == coll4\n bool31\n }\n val coll28 = OUTPUTS.filter(func27)\n val box29 = coll28.getOrElse(i5, SELF)\n val coll30 = box29.tokens\n val tuple31 = coll30(placeholder[Int](13))\n val l32 = coll6(placeholder[Int](14))\n val i33 = INPUTS.filter({(box33: Box) => box33.propositionBytes == coll3 }).size\n val bool34 = i33 == placeholder[Int](15)\n val l35 = HEIGHT.toLong\n val l36 = coll6(placeholder[Int](16)) + coll6(placeholder[Int](17))\n val l37 = coll6(placeholder[Int](18))\n val coll38 = coll13.slice(placeholder[Int](19), placeholder[Int](20))\n val coll39 = coll13.slice(placeholder[Int](21), placeholder[Int](22))\n val bi40 = bi24 * bi22 / bi21\n val bi41 = if (l35 < l36) {(\n val i41 = placeholder[Int](23)\n bi40 * coll6(placeholder[Int](24)).toBigInt + i41.toBigInt / i41.toBigInt\n )} else { bi40 }\n val box42 = coll28.getOrElse(placeholder[Int](25), SELF)\n val coll43 = box42.tokens\n val tuple44 = coll43(placeholder[Int](26))\n val func45 = {(box45: Box) =>\n val coll47 = box45.propositionBytes\n val coll48 = blake2b256(coll47)\n val bool49 = coll48 == coll4\n bool49\n }\n val coll46 = OUTPUTS.filter(func45)\n val box47 = coll46.getOrElse(placeholder[Int](27), SELF)\n val coll48 = box47.tokens\n val tuple49 = coll48(placeholder[Int](28))\n if (coll2.size > placeholder[Int](29)) {(\n val func50 = func15\n val coll51 = coll16\n val i52 = coll51.size\n val func53 = func27\n val coll54 = coll28\n val box55 = coll2.getOrElse(i5, SELF)\n val l56 = box55.R4[Coll[Long]].get(placeholder[Int](30))\n if (i52 > placeholder[Int](31)) {(\n val box57 = box17\n val bool58 = OUTPUTS.map({(box58: Box) => box58.id }).indexOf(box57.id, placeholder[Int](32)) == box55.R9[Coll[Int]].get(\n placeholder[Int](33)\n ) - placeholder[Int](34)\n val l59 = box57.value\n val coll60 = coll18\n val tuple61 = tuple19\n val coll62 = box57.R4[Coll[Byte]].get\n val ge63 = box57.R5[GroupElement].get\n val coll64 = box57.R7[Coll[Byte]].get\n val bool65 = ((((l59 >= coll6(placeholder[Int](35))) && (tuple61._1 == coll9)) && (coll62 == coll10)) && (ge63 == ge11)) && (coll64 == coll1)\n val coll66 = box57.R8[Coll[Byte]].get\n val l67 = box57.R6[Long].get\n val coll68 = box57.R9[Coll[Long]].get\n val bool69 = coll68.slice(placeholder[Int](36), placeholder[Int](37)) == coll6.slice(placeholder[Int](38), placeholder[Int](39))\n if (coll54.size > placeholder[Int](40)) {(\n val bi70 = l20.toBigInt\n val box71 = box29\n val coll72 = coll30\n val tuple73 = coll72(placeholder[Int](41))\n val tuple74 = tuple31\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n ((((bool65 && bool58) && (coll13 == coll66)) && (l59 >= l14)) && (l59 <= l14 + placeholder[Long](42))) && (\n bi70 >= bi24 - tuple73._2.toBigInt * bi21 / bi22\n )\n ) && (coll60.slice(placeholder[Int](43), coll60.size) == coll25)\n ) && (l67 == l12)\n ) && bool69\n ) && (((box71.value >= placeholder[Long](44)) && (tuple74._1 == coll9)) && (tuple73._1 == coll26))\n ) && (tuple74._2 == l23 - l20)\n ) && (l56.toBigInt >= bi70 * bi22 / bi21 * l32.toBigInt / placeholder[Int](45).toBigInt)\n ) && bool34\n ) && (l35 >= l36)\n )\n )} else {(\n val bi70 = l56.toBigInt\n val bi71 = l20.toBigInt * bi22 / bi21 * l32.toBigInt / placeholder[Int](46).toBigInt\n val prop72 = proveDlog(ge11)\n sigmaProp(\n (\n (\n (\n (\n (\n ((((bool65 && bool58) && (coll13 == coll66)) && (l59 >= l14 - placeholder[Long](47))) && (l59 <= l14 + placeholder[Long](48))) && (\n coll60 == coll7\n )\n ) && (l67 > l35 + l37)\n ) && (l67 < l35 + l37 + placeholder[Long](49))\n ) && (bi70 < bi71)\n ) && bool69\n ) && bool34\n ) || sigmaProp(\n (\n (\n (\n (\n (\n ((((bool65 && bool58) && (coll13 == coll66)) && (l59 >= l14 - placeholder[Long](50))) && (l59 <= l14 + placeholder[Long](51))) && (\n coll60 == coll7\n )\n ) && (l12 != placeholder[Long](52))\n ) && (l67 == placeholder[Long](53))\n ) && (bi70 >= bi71)\n ) && bool69\n ) && bool34\n ) || sigmaProp(placeholder[Boolean](54)) || prop72 && sigmaProp(l59 != l14) || sigmaProp(INPUTS.filter({(box73: Box) =>\n val coll75 = box73.tokens\n ((coll75.size > placeholder[Int](55)) && (coll75(placeholder[Int](56))._1 == coll38)) && (box73.R9[Coll[Coll[Byte]]].get(i5) == coll39)\n }).size > placeholder[Int](57)) || prop72 && sigmaProp(\n ((((((bool65 && (l59 == l14)) && (coll60 == coll7)) && (coll62 == coll10)) && (ge63 == ge11)) && (coll64 == coll1)) && (coll68 == coll6)) && (\n i33 == i52\n )\n )\n )}\n )} else {(\n val bi57 = l56.toBigInt\n val i58 = placeholder[Int](58)\n val box59 = box42\n val coll60 = coll43\n val tuple61 = tuple44\n val tuple62 = coll60(placeholder[Int](59))\n val coll63 = SELF.id\n val bi64 = bi57 - bi41\n val bi65 = coll6(placeholder[Int](60)).toBigInt\n val bi66 = bi64 * i58.toBigInt - bi65 / i58.toBigInt\n val l67 = tuple62._2\n sigmaProp(\n (\n (\n (\n (\n (((bi57 <= bi41 * l32.toBigInt / i58.toBigInt) && (l35 >= l12)) || (l35 > SELF.creationInfo._1.toLong + placeholder[Long](61))) && (\n (((box59.value >= placeholder[Long](62)) && (tuple61._1 == coll9)) && (tuple62._1 == coll26)) && (box59.id != coll63)\n )\n ) && (tuple61._2 == l23)\n ) && if (bi66 < placeholder[BigInt](63)) { l67.toBigInt >= bi57 } else {(\n val box68 = OUTPUTS.filter({(box68: Box) => box68.propositionBytes == coll10 }).getOrElse(placeholder[Int](64), SELF)\n val tuple69 = box68.tokens(placeholder[Int](65))\n (((l67.toBigInt >= bi41 + bi64 * bi65 / i58.toBigInt) && (tuple69._2.toBigInt >= bi66)) && (tuple69._1 == coll26)) && (box68.id != coll63)\n )}\n ) && (\n INPUTS.map({(box68: Box) => box68.id }).indexOf(coll63, placeholder[Int](66)) == box55.R9[Coll[Int]].get(placeholder[Int](67)) * placeholder[Int](\n 68\n ) - placeholder[Int](69)\n )\n ) && bool34\n )\n )}\n )} else {(\n val func50 = func45\n val coll51 = coll46\n val box52 = box47\n val coll53 = coll48\n val tuple54 = tuple49\n val tuple55 = coll53(placeholder[Int](70))\n sigmaProp(\n (\n (\n (((((box52.value >= placeholder[Long](71)) && (tuple54._1 == coll9)) && (tuple55._1 == coll26)) && (box52.id != SELF.id)) && (tuple54._2 == l23)) && (\n tuple55._2.toBigInt > bi41\n )\n ) && if (INPUTS.filter({(box56: Box) =>\n val coll58 = box56.tokens\n ((coll58.size > placeholder[Int](72)) && (coll58(placeholder[Int](73))._1 == coll38)) && (box56.R9[Coll[Byte]].get == coll39)\n }).size > placeholder[Int](74)) { placeholder[Boolean](75) } else {(\n val box56 = OUTPUTS.filter({(box56: Box) => box56.propositionBytes == coll10 }).getOrElse(placeholder[Int](76), SELF)\n ((box56.value >= l14 - placeholder[Long](77)) && (box56.tokens == coll25)) && (box56.id != SELF.id)\n )}\n ) && bool34\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "8e5d948b742235dd57a0b61ab77d7455e9178045f336bb1c358eccbe8a693183",
"index": 0,
"amount": 4000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R8": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R7": {
"serializedValue": "0e208138efa43399227cdee9cdd012cd753ad8ee322f1d88aec40f216568463fc27f",
"sigmaType": "Coll[SByte]",
"renderedValue": "8138efa43399227cdee9cdd012cd753ad8ee322f1d88aec40f216568463fc27f"
},
"R9": {
"serializedValue": "1108b6163c108087a70e008cb7d001641e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1435,30,8,15000000,0,1707462,50,15]"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
},
"spentTransactionId": "4c339d6ae39906c4d01449bc44bfe27f96ad2cf53796584a76d58f2a2446961a",
"mainChain": true
},
{
"boxId": "cfb2c6a9bb54ef4e5e14af5afa64aee9f7c508950b22721b18dad9b9c944610f",
"transactionId": "8085dd6aa043eb9f57dad8d03c07be4dcb8c604296be88f036c4d82aa6eb53a9",
"blockId": "e2e5a5c5398213f2eca9180460ff628a5b512b1ed3a9e3fa60c8c4d81dcdf554",
"value": 1000000,
"index": 2,
"globalIndex": 53176762,
"creationHeight": 1707457,
"settlementHeight": 1707458,
"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
"assets": [
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 0,
"amount": 4000000,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20283432017c8d077fb3724d74aecce239a482f7e9c01d5064cf9d2c0e75ba4780",
"sigmaType": "Coll[SByte]",
"renderedValue": "283432017c8d077fb3724d74aecce239a482f7e9c01d5064cf9d2c0e75ba4780"
}
},
"spentTransactionId": "20eeb9e8dfd3e31168117b1d13960e6fd601ad3dc5ecf34c5de31a851fa1eb83",
"mainChain": true
},
{
"boxId": "9006e2be2b25f0b74c66e7eccd3f338c361d97dabe3c937fa59b1dd8262cded3",
"transactionId": "8085dd6aa043eb9f57dad8d03c07be4dcb8c604296be88f036c4d82aa6eb53a9",
"blockId": "e2e5a5c5398213f2eca9180460ff628a5b512b1ed3a9e3fa60c8c4d81dcdf554",
"value": 1000000,
"index": 3,
"globalIndex": 53176763,
"creationHeight": 1707457,
"settlementHeight": 1707458,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 4\n6: 4\n7: 5\n8: 5\n9: 6\n10: 6\n11: 8\n12: 8\n13: 7\n14: 7\n15: 1\n16: 0\n17: 0\n18: 1\n19: -1\n20: 1\n21: 1\n22: CBigInt(0)\n23: CBigInt(2)\n24: CBigInt(100)\n25: CBigInt(1000)\n26: 0\n27: 2\n28: 5000000\n29: 1000000000000\n30: 1\n31: 0\n32: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n33: 2\n34: 1\n35: 3\n36: 1000\n37: 0\n38: 30\n39: 0\n40: 0\n41: 2\n42: 1\n43: 2\n44: 1001\n45: 1\n46: 0\n47: 2\n48: 0\n49: 1\n50: 0\n51: 0\n52: 4000000\n53: 1\n54: 0\n55: 1000\n56: 0\n57: 0\n58: 9\n59: 9\n60: 0\n61: 0\n62: 0",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val box2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll3 = box2.propositionBytes\n val coll4 = box2.R4[Coll[Long]].get\n val l5 = coll4(placeholder[Int](4))\n val coll6 = SELF.R4[Coll[Long]].get\n val l7 = coll6(placeholder[Int](5))\n val l8 = coll4(placeholder[Int](6))\n val l9 = coll6(placeholder[Int](7))\n val l10 = coll4(placeholder[Int](8))\n val l11 = coll6(placeholder[Int](9))\n val l12 = coll4(placeholder[Int](10))\n val l13 = coll6(placeholder[Int](11))\n val l14 = coll4(placeholder[Int](12))\n val l15 = coll6(placeholder[Int](13))\n val l16 = coll4(placeholder[Int](14))\n val coll17 = SELF.R5[Coll[Coll[Byte]]].get\n val coll18 = box2.R5[Coll[Coll[Byte]]].get\n val coll19 = SELF.R6[Coll[Long]].get\n val coll20 = box2.R6[Coll[Long]].get\n val coll21 = CONTEXT.dataInputs\n val coll22 = box2.R9[Coll[Int]].get\n val i23 = coll22(placeholder[Int](15))\n val box24 = coll21(i23)\n val coll25 = box24.tokens\n val i26 = coll22(placeholder[Int](16))\n val box27 = if (i26 > placeholder[Int](17)) { OUTPUTS(i26 - placeholder[Int](18)) } else { INPUTS(i26 * placeholder[Int](19) - placeholder[Int](20)) }\n val bi28 = box27.value.toBigInt\n val coll29 = coll21.slice(i23 + placeholder[Int](21), coll21.size)\n val coll30 = box2.R7[Coll[Long]].get\n val bi31 = placeholder[BigInt](22)\n val bi32 = placeholder[BigInt](23)\n val bi33 = placeholder[BigInt](24)\n val bi34 = placeholder[BigInt](25)\n val bi35 = bi28 + coll29.zip(coll30).fold(bi31, {(tuple35: (BigInt, (Box, Long))) =>\n val tuple37 = tuple35._2\n val l38 = tuple37._2\n val box39 = tuple37._1\n val bi40 = tuple35._1\n if (l38 > placeholder[Long](26)) {(\n val bi41 = l38.toBigInt\n val bi42 = box39.R4[Int].get.toBigInt\n val bi43 = box39.tokens(placeholder[Int](27))._2.toBigInt\n bi40 + box39.value.toBigInt * bi41 * bi42 / bi43 + bi43 * bi32 / bi33 * bi34 + bi41 * bi42\n )} else { bi40 }\n }) - placeholder[Int](28).toBigInt\n val bi36 = box24.R4[Int].get.toBigInt\n val bi37 = box24.value.toBigInt\n val l38 = placeholder[Long](29)\n val coll39 = box27.tokens\n val i40 = coll39.size\n val coll41 = box2.R8[Coll[Coll[Byte]]].get\n val coll42 = coll18.slice(placeholder[Int](30), coll18.size)\n val i43 = coll29.size\n val i44 = coll30.size\n sigmaProp(\n (\n (\n (\n (\n (\n (((((coll1 == coll3) && (SELF.value == box2.value)) && (SELF.tokens == box2.tokens)) && (l5 == placeholder[Long](31))) && (l7 == l8)) && (\n l9 == l10\n )\n ) && (l11 == l12)\n ) && (l13 == l14)\n ) && (l15 == l16)\n ) && (coll17 == coll18)\n ) && (coll19 == coll20)\n ) && placeholder[SigmaProp](32) || sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((coll3 == coll1) && ((coll18 == coll17) && (coll20 == coll19))) && (\n coll25(placeholder[Int](33))._2.toBigInt * bi35 * bi36 / bi37 + bi37 * bi32 / bi33 * bi34 + bi35 * bi36 == coll4(\n placeholder[Int](34)\n ).toBigInt\n )\n ) && (max(min(coll4(placeholder[Int](35)), placeholder[Long](36)), placeholder[Long](37)) == placeholder[Long](38))\n ) && (bi28 * l38.toBigInt * coll20(placeholder[Int](39)).toBigInt / bi35 + coll30.indices.fold(bi31, {(tuple45: (BigInt, Int)) =>\n val i47 = tuple45._2\n val l48 = coll30(i47)\n val bi49 = tuple45._1\n if (l48 > placeholder[Long](40)) {(\n val box50 = coll29(i47)\n val bi51 = l48.toBigInt\n val bi52 = box50.R4[Int].get.toBigInt\n val bi53 = box50.tokens(placeholder[Int](41))._2.toBigInt\n bi49 + box50.value.toBigInt * bi51 * bi52 / bi53 + bi53 * bi32 / bi33 * bi34 + bi51 * bi52 * l38.toBigInt * coll20.slice(placeholder[Int](42), coll20.size)(i47).toBigInt / bi35\n )} else { bi49 }\n }) / l38.toBigInt == max(coll4(placeholder[Int](43)), placeholder[Long](44)).toBigInt)\n ) && coll39.slice(placeholder[Int](45), i40).forall(\n {(tuple45: (Coll[Byte], Long)) => coll41.zip(coll30).exists({(tuple47: (Coll[Byte], Long)) => tuple47 == tuple45 }) }\n )\n ) && coll42.indices.forall({(i45: Int) =>\n val coll47 = coll29(i45).tokens\n (coll42(i45) == coll47(placeholder[Int](46))._1) && (coll41(i45) == coll47(placeholder[Int](47))._1)\n })\n ) && ((i43 == i44) && (i43 == coll42.size))\n ) && (i44 == coll41.size)\n ) && (coll30.filter({(l45: Long) => l45 == placeholder[Long](48) }).size == i44 - i40 - placeholder[Int](49))\n ) && (coll6(placeholder[Int](50)) == max(l5, placeholder[Long](51)))\n ) && (l7 == max(l8, placeholder[Long](52)))\n ) && (l9 == max(l10, placeholder[Long](53)))\n ) && (l11 == max(l12, placeholder[Long](54)))\n ) && (l15 == max(min(l16, placeholder[Long](55)), placeholder[Long](56)))\n ) && (l13 == max(l14, placeholder[Long](57)))\n ) && (coll6(placeholder[Int](58)) == max(coll4(placeholder[Int](59)), placeholder[Long](60)))\n ) && (coll25(placeholder[Int](61))._1 == coll18(placeholder[Int](62)))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "8138efa43399227cdee9cdd012cd753ad8ee322f1d88aec40f216568463fc27f",
"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1a012046463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[46463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1]"
},
"R6": {
"serializedValue": "1101f015",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1400]"
},
"R8": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R7": {
"serializedValue": "1100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[]"
},
"R9": {
"serializedValue": "10020404",
"sigmaType": "Coll[SInt]",
"renderedValue": "[2,2]"
},
"R4": {
"serializedValue": "110a80a0b787e905a6c1ed0bb6163c8087a70e1000641e80b48913",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,12431443,1435,30,15000000,8,0,50,15,20000000]"
}
},
"spentTransactionId": "8fc6709eaa9034eef696629ec3837401af181fd0e7478bcde7d0c5def80ec9eb",
"mainChain": true
},
{
"boxId": "3ab8f8364978e9e1968c9faf140efe2e47e72554f7a0ad14a5063ae6a7f2ca98",
"transactionId": "8085dd6aa043eb9f57dad8d03c07be4dcb8c604296be88f036c4d82aa6eb53a9",
"blockId": "e2e5a5c5398213f2eca9180460ff628a5b512b1ed3a9e3fa60c8c4d81dcdf554",
"value": 1000000,
"index": 4,
"globalIndex": 53176764,
"creationHeight": 1707457,
"settlementHeight": 1707458,
"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": "72498b61d1ab5c8ec343c91f3a8d9ba5004ceb977683c262cbd281dab883e195",
"mainChain": true
}
],
"size": 5375,
"isUnconfirmed": false
}