Transaction
ID: fb2ca2290d...ceeb
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
12.05
Outputs (4)
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
0
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
119,999.99
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 86,274
Total coins transferred: 0.004 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000515 ERG
Raw Transaction Data
{
"id": "fb2ca2290d9df7cd0366c87fb408d05c78f786f727fb2b9ff148ec4dc227ceeb",
"blockId": "9ad2ce0deba312d24ff9b635ebadc64c04811dcaf5c2438ec5d5ffdf1b1d957c",
"inclusionHeight": 1675901,
"timestamp": 1765531113522,
"index": 4,
"globalIndex": 9952322,
"numConfirmations": 86274,
"inputs": [
{
"boxId": "81404eff758f7fe3db5ca8f7a0608bf60488e9312b5cbdd1584e0a5e89f16259",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "3e3f5bb7141938b1500c149d462a63f14804f42b1321bf2ffab981c584c24464",
"outputTransactionId": "bc4a4eb4fddb7f0caea334582acf27435cea757eb8f8e04e7507d75ff0610dc1",
"outputIndex": 0,
"outputGlobalIndex": 52197504,
"outputCreatedAt": 1675882,
"outputSettledAt": 1675883,
"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(117,-24,-35,40,-49,18,19,121,81,93,87,13,-83,-75,-48,116,79,-10,17,24,47,85,-109,93,115,-25,-89,15,87,42,-16,93)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(-41,94,73,-94,-35,21,-96,-45,-77,-10,-77,-32,110,119,84,-43,61,-82,125,43,49,124,-119,81,66,-41,-20,57,-22,112,-27,10)\n22: 0\n23: 0\n24: -1\n25: Coll(119,22,86,47,115,109,127,-74,50,29,-10,-10,44,-100,96,-38,-80,18,-76,-84,-24,18,122,74,91,10,-49,112,-20,65,-10,-31)\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": "0872cd83083b18ba7a7fedac58b8f290ca260d09f93a6a2abb63a6f4212ded49",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2640bef29d3fc02b5c6e010489e0ba8ac88b67f52bb37300c857de83e3d100d6",
"index": 1,
"amount": 9000000000000000,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "590f3ba8b2a8a971fb0419df21b9321e32d2e59afd244ed02cdaa1b062eb45a1",
"index": 2,
"amount": 9000000000000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 10,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "4392126806eac8d68730f1203a134f00d3687fae27e02dedece8952c7b433cb4",
"value": 3000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "e225ddb3a5c874dbdc4fd4b59b0f9c5bd63889e235832e600f8af061bff547fb",
"outputTransactionId": "f2df0d9942d854d9ee900d3f598b0bc40fd592af9b0d8c8bd05fcf11f6a55b24",
"outputIndex": 0,
"outputGlobalIndex": 52197725,
"outputCreatedAt": 1675887,
"outputSettledAt": 1675891,
"ergoTree": "100d040604000580897a0100040004000400010004040400040001000100d1d801d601e4c6a7040e958fb1a57300d803d602b2a5730100d603c67202040ed604db63087202edededed93c2720272019099c1a7c17202730295e6720393e47203c5a77303927ea305e4c6a706059594b17204730493b27204730500b2db6308a77306007307d803d602b2a5730800d603db63087202d604c67202070eeded93c2720272019591b172037309d801d605b27203730a00ed938c720501e4c6a7070e928c720502e4c6a70505730b95e6720493e47204c5a7730c",
"ergoTreeConstants": "0: 3\n1: 0\n2: 1000000\n3: false\n4: 0\n5: 0\n6: 0\n7: false\n8: 2\n9: 0\n10: 0\n11: false\n12: false",
"ergoTreeScript": "{sigmaProp(\n val coll1 = SELF.R4[Coll[Byte]].get\n if (OUTPUTS.size < placeholder[Int](0)) {(\n val box2 = OUTPUTS(placeholder[Int](1))\n val opt3 = box2.R4[Coll[Byte]]\n val coll4 = box2.tokens\n (\n (\n ((box2.propositionBytes == coll1) && (SELF.value - box2.value <= placeholder[Long](2))) && if (opt3.isDefined) { opt3.get == SELF.id } else {\n placeholder[Boolean](3)\n }\n ) && (HEIGHT.toLong >= SELF.R6[Long].get)\n ) && if (coll4.size != placeholder[Int](4)) { coll4(placeholder[Int](5)) == SELF.tokens(placeholder[Int](6)) } else { placeholder[Boolean](7) }\n )} else {(\n val box2 = OUTPUTS(placeholder[Int](8))\n val coll3 = box2.tokens\n val opt4 = box2.R7[Coll[Byte]]\n ((box2.propositionBytes == coll1) && if (coll3.size > placeholder[Int](9)) {(\n val tuple5 = coll3(placeholder[Int](10))\n (tuple5._1 == SELF.R7[Coll[Byte]].get) && (tuple5._2 >= SELF.R5[Long].get)\n )} else { placeholder[Boolean](11) }) && if (opt4.isDefined) { opt4.get == SELF.id } else { placeholder[Boolean](12) }\n )}\n)}",
"address": "KeFZdXyRkmbbDumvWSR1sijFcEbnqF7EL3YprErvspPHs3wmQ3qcD64X5JdjYARbxF4SAYivys3FgqfDgdjQNoa5ULahXEY4SAQNPPK6VLZFMGHjBmzgo7CS5MTDxcuxLvrFUZVHthy2y5DK7Bf7TqUC5TQoVFQxEgsLNpHSd5eG7s9KoGdVY2H1s4HhiEgAzUTmTqiQSaeUr4qpn8erxg8ajR74W4bVyBzovJ8oduDiHPznnrCZnZBhU3NdjLre3MDBHqEkrHnpR9hkEgACDxDLaS8cvaLXsRdejY9qaohVs",
"assets": [
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 0,
"amount": 12048204,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R5": {
"serializedValue": "05fcebb80b",
"sigmaType": "SLong",
"renderedValue": "11999998"
},
"R6": {
"serializedValue": "059acacc01",
"sigmaType": "SLong",
"renderedValue": "1675917"
},
"R7": {
"serializedValue": "0e202640bef29d3fc02b5c6e010489e0ba8ac88b67f52bb37300c857de83e3d100d6",
"sigmaType": "Coll[SByte]",
"renderedValue": "2640bef29d3fc02b5c6e010489e0ba8ac88b67f52bb37300c857de83e3d100d6"
}
}
}
],
"dataInputs": [
{
"boxId": "4ae66c8011ce46cb08dbea49e6727e490375012fc8f15cacd63d28be67bfb9fe",
"value": 1000000,
"index": 0,
"outputBlockId": "3e3f5bb7141938b1500c149d462a63f14804f42b1321bf2ffab981c584c24464",
"outputTransactionId": "b60a2d66f7b5751f894784926a8220610afc029e8e88027285f98dded762afbd",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05d0c9cc01",
"sigmaType": "SLong",
"renderedValue": "1675880"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
},
{
"boxId": "d22c11a29300e0c1b66c5be3c887c8b1046cb6b01ff4133de0de731e4c63b27f",
"value": 1000000,
"index": 1,
"outputBlockId": "3e3f5bb7141938b1500c149d462a63f14804f42b1321bf2ffab981c584c24464",
"outputTransactionId": "483f48a17c36e45a1475ba7eea7e9803b208cf7abe04e0d4ccbe4a638822a088",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
"address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120c00274733361638c189e976679c16b879d9a6e8ca2eeb1d581d2c8a4d56794fa",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c00274733361638c189e976679c16b879d9a6e8ca2eeb1d581d2c8a4d56794fa]"
},
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "1106a01f80b518c0029003f40302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000,200000,160,200,250,1]"
}
}
}
],
"outputs": [
{
"boxId": "f2defc44bc85ed676d1c00e802ffa929a446d79a550c6d7fd6a56987805263e1",
"transactionId": "fb2ca2290d9df7cd0366c87fb408d05c78f786f727fb2b9ff148ec4dc227ceeb",
"blockId": "9ad2ce0deba312d24ff9b635ebadc64c04811dcaf5c2438ec5d5ffdf1b1d957c",
"value": 1000000,
"index": 0,
"globalIndex": 52198016,
"creationHeight": 1675900,
"settlementHeight": 1675901,
"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(117,-24,-35,40,-49,18,19,121,81,93,87,13,-83,-75,-48,116,79,-10,17,24,47,85,-109,93,115,-25,-89,15,87,42,-16,93)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(-41,94,73,-94,-35,21,-96,-45,-77,-10,-77,-32,110,119,84,-43,61,-82,125,43,49,124,-119,81,66,-41,-20,57,-22,112,-27,10)\n22: 0\n23: 0\n24: -1\n25: Coll(119,22,86,47,115,109,127,-74,50,29,-10,-10,44,-100,96,-38,-80,18,-76,-84,-24,18,122,74,91,10,-49,112,-20,65,-10,-31)\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": "0872cd83083b18ba7a7fedac58b8f290ca260d09f93a6a2abb63a6f4212ded49",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2640bef29d3fc02b5c6e010489e0ba8ac88b67f52bb37300c857de83e3d100d6",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "590f3ba8b2a8a971fb0419df21b9321e32d2e59afd244ed02cdaa1b062eb45a1",
"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": {
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