Transaction
ID: e43ebf2b90...a6dd
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Outputs (2)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.004 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 63,675
Total coins transferred: 0.005 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000557 ERG
Raw Transaction Data
{
"id": "e43ebf2b90ffa624cb9d4b7b7a34fe03eca917c65b2b8684451930b95da0a6dd",
"blockId": "abe94284c640692aced9c87acb3228a80cba4a84fcee9ddcc560a53336c940f7",
"inclusionHeight": 1700859,
"timestamp": 1768540932093,
"index": 4,
"globalIndex": 10152380,
"numConfirmations": 63675,
"inputs": [
{
"boxId": "7dd099367c57b6e37621ee18ff217ff8197cb865feb709ee68feab104a0e627d",
"value": 3000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "abe94284c640692aced9c87acb3228a80cba4a84fcee9ddcc560a53336c940f7",
"outputTransactionId": "b77b99fe5497de3575d0fb19c673c1718be3997e030eaa30e8759118d23e1482",
"outputIndex": 0,
"outputGlobalIndex": 52998948,
"outputCreatedAt": 1700857,
"outputSettledAt": 1700859,
"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(49,44,23,63,-23,-57,112,104,106,-64,16,27,37,-99,110,78,-90,105,-81,-1,-106,50,24,14,24,-115,51,-101,-123,106,-44,127)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(50,-77,-123,-15,102,-80,0,110,-13,-102,102,-76,-35,-28,-29,-7,84,21,119,-72,-45,-122,28,3,-50,79,-3,23,-40,62,40,-79)\n22: 0\n23: 0\n24: -1\n25: Coll(-115,-57,-5,79,-10,98,73,-99,-46,-53,89,85,-105,44,-111,7,61,107,57,63,-57,-19,-98,4,117,-12,97,23,29,34,50,-96)\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": "04ec4f57fa0aacf2b066d3c348835e206c5a73caac9f7d62393c0206de94c679",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2a94722d4d3b95f4ccdde4ac81e34d6498acabcfeee3b8b6070de7dde56d740b",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "2d3e8387e711d6fb76f11d434207427b450dbb365872116acfcd38eb6caf3039",
"index": 2,
"amount": 8999999996000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 8200012,
"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": "2cc27988113b7602ddf4084a4247b6e1513e4a16d4afb9fb0cd7ee9c933f165b",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "6422715583c239a320ce7b5a9860c6d99595f95c8504e755a5ce7ef18573bfc3",
"outputTransactionId": "0040b8fdd02f85067b626cf486da725a6fb787bf86fb0127e625ae1c4e811b8e",
"outputIndex": 1,
"outputGlobalIndex": 52998853,
"outputCreatedAt": 1700856,
"outputSettledAt": 1700857,
"ergoTree": "100f04000e2004ec4f57fa0aacf2b066d3c348835e206c5a73caac9f7d62393c0206de94c679040004020406040004000580897a0406058080d4aff9dcfc1f0404058080d4aff9dcfc1f040404000402d808d601b2a5730000d602db63087201d6037301d604b2a4730200d605db63087204d606db6308a7d607b27206730300d608b27205730400d1ededededed938cb27202730500017203938cb272057306000172039299c17201c1720499c1a77307ed938c720702998cb27202730800028c720802938c7207018c72080193999973098cb27205730a000299730b8cb27202730c00028cb27206730d000293b2a4730e00a7",
"ergoTreeConstants": "0: 0\n1: Coll(4,-20,79,87,-6,10,-84,-14,-80,102,-45,-61,72,-125,94,32,108,90,115,-54,-84,-97,125,98,57,60,2,6,-34,-108,-58,121)\n2: 0\n3: 1\n4: 3\n5: 0\n6: 0\n7: 1000000\n8: 3\n9: 9000000000000000\n10: 2\n11: 9000000000000000\n12: 2\n13: 0\n14: 1",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val coll3 = placeholder[Coll[Byte]](1)\n val box4 = INPUTS(placeholder[Int](2))\n val coll5 = box4.tokens\n val coll6 = SELF.tokens\n val tuple7 = coll6(placeholder[Int](3))\n val tuple8 = coll5(placeholder[Int](4))\n sigmaProp(\n (\n (\n (\n ((coll2(placeholder[Int](5))._1 == coll3) && (coll5(placeholder[Int](6))._1 == coll3)) && (\n box1.value - box4.value >= SELF.value - placeholder[Long](7)\n )\n ) && ((tuple7._2 == coll2(placeholder[Int](8))._2 - tuple8._2) && (tuple7._1 == tuple8._1))\n ) && (placeholder[Long](9) - coll5(placeholder[Int](10))._2 - placeholder[Long](11) - coll2(placeholder[Int](12))._2 == coll6(placeholder[Int](13))._2)\n ) && (INPUTS(placeholder[Int](14)) == SELF)\n )\n}",
"address": "r5zW3yf58D2p8wDZmkbBPQ4WBdBG5ecPnkLWiAjVfCmh3m3hWWvV1f1euCf16TmisFbi6uUo8KWuUi4RbtBgKspfjKhxPRDUiCZb3FfYgy5i1C4PXcsp9BvRHE6uRf3T3K1Zohs9FmPDMMuF6c9ba7Gm42hhuU6ohRGB3vjxAKERFKGMWAaWDp2SHR9d5jja6DV5h8bmehW5SgEGzjqpbDMpdWg416h5ZYJEAuDPPnFcUNTFV9gcqUE9Z8W6fMdKLdR2HHoggT83DVnfJJaFZmpqmtAzQvdzzyxhSsQBZ7UGpeimYUY2UyeL8LtAVbqxqXPJA9gTCKjmgp3NKaG",
"assets": [
{
"tokenId": "2d3e8387e711d6fb76f11d434207427b450dbb365872116acfcd38eb6caf3039",
"index": 0,
"amount": 4000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 1,
"amount": 4000001,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "d1f88d846dfa99501be39a73fa8c61c2de3a8a65b4d76974d23235ce82446a22",
"value": 1000000,
"index": 0,
"outputBlockId": "a3f0c8cabb65027fce235d32db37a6d6809113f131ecea32af23b6267f619120",
"outputTransactionId": "86b4b3a8bca0e4fdb25f51bdf53ecd0e4fb7669cece71076a8747554a24dadf9",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05f4c6cf01",
"sigmaType": "SLong",
"renderedValue": "1700282"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
},
{
"boxId": "59e35ce64bee049c0c114a766b361b61549592b6d88c86338dea32cc32009f63",
"value": 1000000,
"index": 1,
"outputBlockId": "a3f0c8cabb65027fce235d32db37a6d6809113f131ecea32af23b6267f619120",
"outputTransactionId": "6794e33441951d3a6e17e6120fb0eeeff472048a4293cbc1b193292ce39bc9f4",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
"address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01203c4bd1d515fd887189eafab63df87bf0638e667a77ac41361c4d93094f333b1e",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[3c4bd1d515fd887189eafab63df87bf0638e667a77ac41361c4d93094f333b1e]"
},
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "1106a01f80b518c0029003f40302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000,200000,160,200,250,1]"
}
}
}
],
"outputs": [
{
"boxId": "31571d89fc65cd048e0847ce0cdcc62130591ddd407cea5b39933a651c37dbdb",
"transactionId": "e43ebf2b90ffa624cb9d4b7b7a34fe03eca917c65b2b8684451930b95da0a6dd",
"blockId": "abe94284c640692aced9c87acb3228a80cba4a84fcee9ddcc560a53336c940f7",
"value": 4000000,
"index": 0,
"globalIndex": 52998950,
"creationHeight": 1700857,
"settlementHeight": 1700859,
"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(49,44,23,63,-23,-57,112,104,106,-64,16,27,37,-99,110,78,-90,105,-81,-1,-106,50,24,14,24,-115,51,-101,-123,106,-44,127)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(50,-77,-123,-15,102,-80,0,110,-13,-102,102,-76,-35,-28,-29,-7,84,21,119,-72,-45,-122,28,3,-50,79,-3,23,-40,62,40,-79)\n22: 0\n23: 0\n24: -1\n25: Coll(-115,-57,-5,79,-10,98,73,-99,-46,-53,89,85,-105,44,-111,7,61,107,57,63,-57,-19,-98,4,117,-12,97,23,29,34,50,-96)\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": "04ec4f57fa0aacf2b066d3c348835e206c5a73caac9f7d62393c0206de94c679",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "2a94722d4d3b95f4ccdde4ac81e34d6498acabcfeee3b8b6070de7dde56d740b",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "2d3e8387e711d6fb76f11d434207427b450dbb365872116acfcd38eb6caf3039",
"index": 2,
"amount": 9000000000000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 12200013,
"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": "b7f0b09e39105bf358fb688a777956e8a3cfead3321381cde8249ff8bcb10951",
"mainChain": true
},
{
"boxId": "1b7292bcfefbbd25de19aa8715547365851de64e373b5057f20b6c1094e923a2",
"transactionId": "e43ebf2b90ffa624cb9d4b7b7a34fe03eca917c65b2b8684451930b95da0a6dd",
"blockId": "abe94284c640692aced9c87acb3228a80cba4a84fcee9ddcc560a53336c940f7",
"value": 1000000,
"index": 1,
"globalIndex": 52998951,
"creationHeight": 1700857,
"settlementHeight": 1700859,
"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": "433ad7fc74bdc25fa4e8123cfb87524ccd99a4045660cf4bce66c3bdc599332e",
"mainChain": true
}
],
"size": 1794,
"isUnconfirmed": false
}