Transaction
ID: 46b2a93be3...5a96
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: 96,569
Total coins transferred: 0.005 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000557 ERG
Raw Transaction Data
{
"id": "46b2a93be3a91fe104bea3994229114a73778ad256c4098cd27615c986f95a96",
"blockId": "6bd7501848c1a27c03dfa6648332fa8ae6771be5b3404ee5d129645312eb1eb3",
"inclusionHeight": 1673172,
"timestamp": 1765199768694,
"index": 6,
"globalIndex": 9931686,
"numConfirmations": 96569,
"inputs": [
{
"boxId": "8dea7e9dec1e08642e7dde15ea737eac1909f4c2038d1eb946b1587cb7f1080b",
"value": 3000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "15f63935f79e15a19517fb3bc3eb001dc37799997ed576a96d845ca2d9089462",
"outputTransactionId": "fbc4ff0cf007aa35e74f70e993b7dd8a1796f33860df60604b6c028246df175a",
"outputIndex": 0,
"outputGlobalIndex": 52089920,
"outputCreatedAt": 1672345,
"outputSettledAt": 1672347,
"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(70,-110,-119,24,-65,0,35,-37,-48,-39,6,89,39,119,-8,-13,-76,2,-38,-70,19,-128,114,35,-33,-23,11,101,87,74,38,-54)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(-110,-66,-116,-40,72,-57,-51,-51,-30,-59,-75,125,-109,58,-114,55,-81,123,4,67,52,43,-113,7,-94,55,-63,69,86,25,22,-15)\n22: 0\n23: 0\n24: -1\n25: Coll(-47,18,122,24,86,68,124,-100,-113,87,-84,16,22,21,12,-127,-18,-104,79,-5,30,-34,-75,-126,-88,126,60,-57,108,47,-82,-18)\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": "2FkbKwmZBuK9AD57fwqTHHBZoXoRCihRRU5RLAdfEzPNvFivTMThoQFjnXPgNoDs9t4TwBCdNNRm6zH6NedTfbwyncTPDyxz8QdV5TVUhEWAzZxYy2YV25MeXHZNgouJD4E5o5cFzxtusL5PhSaTdTvnwLoqd7H9f4pNh17pzHq3iKSqWtZfUDNMVURs4YSKXDzsFfNCM8pPYztdUyugqwxHxVhqbJmH6uDdCCEA88RhucGmSEuob9GPtn8mRZqZnbaz1ZsH9DzeiHz1jRz6sLTxxDRmKYkhWm3fiipJ4LoJhr4dQPVZgmM2RxTDhHn8LZKv42KEFComFYwv2NWYLAnp2arhbLFr9q1qhVhihsgV2Nm4yQkhEWHB9K9PFtjxUyxPKcdKvVhXrJD9MRVKcDGnQQEixYdyHaWcHG13Ry4CGWPPijPaCXqZZX7SARDo7kHsmZTvbK2Cf5CCLueNqkmF5i7uDoftybooF4HdpbdNfcdiV5Kx99QgdvLQcWneJ6vyF6CxYbbcyeDwSPtRQSyUpH7WthPrDTYSxiuRuh4wG9W7RSiTqcy9n8WLjyKqg4TKiuZ3Y4KNyCXryFg1zXn5KDWbEfTXib9H13QT2YDgn1MuzebLVRfeHTWZBpuyzLyizVgpHd5RcDwFEy4kPjWPdfgYdimJqjQTFGWh6fWjghQ6RVqMFUXfMt7d9vgErUWfGdKZSp7mMLLALaG268jbyhtXaJsiDSHqG8pcE5Py4yYGyu7AFY7ky6HiujBFe9f5D2ndPYPioJfu3qa7RZB3MoEp1fFsYEx4wFHJevQiLYa6Y3Z2Z2gK9dKTB7nwMtv1GGKyu4CsmdNkQzFrDEHFXRwwBRkQuxLm9BDSDmNRCYuZvEiS7zT9yDo9P7SWAA73bv2VoaAMPggHHxBNe7gCm1xidtDzgeKodWuNYjp6KQ18WCUz7hU4ye61EhT9h4wwsEHCzZWbuYoRaLuq7J87dFijAZPpaTvoCHBCYFUECvttikenH73EavkdE7vk7eT3Rf43eybFxsQwp4VYWg1ZruC9cR4aNxLktihYsaUerAnqprxC1sjgQh92MVPjnsxmPk6GdAmPCL9ZqBnW6TtgYFQxrwJfnvYACo8mJNmsY5E41VPicyvoY3e1BeRRxutPKs2sYjXVxFxa1HvPWkm9FsGqxQGjVYC9qXPPcEsjNxMSbMi2zxdjAHyMSjTPB1mmyxuBDTQcToXy8CFQAtNCtm1eF96E5yvYE5pDLYnfWTP5tgvCbwCcfxUuz1nXqdkqAYWp72Ym7P7fPMvrYbE5ivxkMvpwrxsZsKEBuYoFSUPchvnb5UnETaToJU53aQc5yRdbsUyB3Xf18ox3WJDGcXYPdPqDmSSxmTimHiLXUHSA35yezNtWrKMTkqrYrD3mCj1XABE9z86zqzXjnYaqCxNHcAyM5i2Tvc2qtR9urQE37RwzAkPNukPf3G68WLXPwi2V7cDz7gRAG2JLFi8qejx1PfTmsKcU3fqhXSzWTvCebfpE2DLKFvCPcN67Msu7JPjQ5w8fAqQMSrcA3h9w2e81C5HbTP38hFi5fDGjkt2BmYo6HcnHyLaJVLi2J3ouPRWKRZqX3db8QJuEKnd6Ek5YYCAv8yY8nHbWTAjpnUXpDi3tMZUbMijm2e5GoKhQUzjDobavxbKAm1JVxRhj4TSnpg469BafrQZAKLPpyFi6z11eM3256E79bt5RGiepVJquZHm5Mf6jsU8XFRGn4QBoy2yYaxyWscArG1Sbm2L3H1nEfx4qddXBgXSKEKiSLzuazeRrqFE3zqgEiaf33DYgFYH7ZidVjjSVwwPB6a6cGbXMs6QCYL58t8T4BX5DDKRf4sasCnkerbQrufD",
"assets": [
{
"tokenId": "32677ed3e39e825d1225cdd39c109b344193a6876794d98eae411746c661565c",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6a78927332833e1cc974dc3023802307214bff20fe187ba21bf2118e67a95a10",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "5111745356473bad65df3cd53dcbafb0fa76b770a9982a923e3894333bacf642",
"index": 2,
"amount": 8999999993000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 5350012,
"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": "b658b24fb616a18ce38e2f432195bae8f7fd0669db05f788929bb8e97d81cb81",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "d73008f605d55757b50e2ca1c5f948a876c38e048e4ecc548f78c50c4a339b54",
"outputTransactionId": "cac23d28ebd3a755f03e3b465e36ef691a8e7c76943d4a23b41e09c445601e03",
"outputIndex": 1,
"outputGlobalIndex": 52090527,
"outputCreatedAt": 1672366,
"outputSettledAt": 1672367,
"ergoTree": "100f04000e2032677ed3e39e825d1225cdd39c109b344193a6876794d98eae411746c661565c040004020406040004000580897a0406058080d4aff9dcfc1f0404058080d4aff9dcfc1f040404000402d808d601b2a5730000d602db63087201d6037301d604b2a4730200d605db63087204d606db6308a7d607b27206730300d608b27205730400d1ededededed938cb27202730500017203938cb272057306000172039299c17201c1720499c1a77307ed938c720702998cb27202730800028c720802938c7207018c72080193999973098cb27205730a000299730b8cb27202730c00028cb27206730d000293b2a4730e00a7",
"ergoTreeConstants": "0: 0\n1: Coll(50,103,126,-45,-29,-98,-126,93,18,37,-51,-45,-100,16,-101,52,65,-109,-90,-121,103,-108,-39,-114,-82,65,23,70,-58,97,86,92)\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": "r5zW3yf59WAks718ZK9XoHFGvs32brVYQcubmGZp89GfoZhz9mtndQ91q9h2JRdAsVpFeWwmUpMsNdadv5Sv9fjpK1beV3DwN71SNTKbvX1h39hmrJQ42mT7MDWEJUKcK5KGxHSEd2ran1n26fzs3QeU4NTEQZdpSWPMd7bNLYANqjXpbHChEfeB89sLUhD9YrmaMX6ZvHsozSPzFJZHXoqetHFf44xNiUsNuEa68pzAfVTLZoqgTju4NsNDKWHxuUweKhJcdeC7siN3HmeYVLdUfcDV3HRmjhzNh1EXVUXgQaCWKNAQ8jQ55z3ABTxSpDqHWjbgsrHJyjvPogY",
"assets": [
{
"tokenId": "5111745356473bad65df3cd53dcbafb0fa76b770a9982a923e3894333bacf642",
"index": 0,
"amount": 7000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 1,
"amount": 7000001,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "5baa304706813a5c6f4a5608efa914eca2a19ddb3c7c73d4134c680112f0f30b",
"value": 1000000,
"index": 0,
"outputBlockId": "bf1dbabcd3891b42e02928658bb4fa93af0e047ab93de0bb51930d0ce55f65a0",
"outputTransactionId": "0b0407c88519294b1b7171c565f378b5e586fd402e075ebdc6b515fdfaf7462e",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05f090cc01",
"sigmaType": "SLong",
"renderedValue": "1672248"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
},
{
"boxId": "ce139d0d92a5d166767ccf1fe55682743b4d7a89d4d98e0ffb6e4dfdd94d4008",
"value": 1000000,
"index": 1,
"outputBlockId": "9e5c04eba493da4673ac292231e9ba617ad184d60fd066d65cf17f2a9c845f81",
"outputTransactionId": "0b6ccb6b995615adbe696c6aa338295d1b657e7701811388b430afb471ed9523",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
"address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0220d82a3ad5af62a4c4fa2f142dac14024151f1a4a2ad134c8e3d1313b3be8d75c3205ea1955e9e14a38089df97d592f30659c06470d76f008a6177a22bdc0ba3db1b",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[d82a3ad5af62a4c4fa2f142dac14024151f1a4a2ad134c8e3d1313b3be8d75c3,5ea1955e9e14a38089df97d592f30659c06470d76f008a6177a22bdc0ba3db1b]"
},
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "1106a01f80b518c0029003f40302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000,200000,160,200,250,1]"
}
}
}
],
"outputs": [
{
"boxId": "9ca19b953242b20338caa38dfe526cac77bd88e11046dd53717c0a35714ebbf4",
"transactionId": "46b2a93be3a91fe104bea3994229114a73778ad256c4098cd27615c986f95a96",
"blockId": "6bd7501848c1a27c03dfa6648332fa8ae6771be5b3404ee5d129645312eb1eb3",
"value": 4000000,
"index": 0,
"globalIndex": 52113354,
"creationHeight": 1673170,
"settlementHeight": 1673172,
"ergoTree": "104904000400040004000402040204040404040604060580897a0607038d7ea4c68000058080d4aff9dcfc1f040004000e2046928918bf0023dbd0d906592777f8f3b402daba13807223dfe90b65574a26ca040006072386f26fc10000058080d4aff9dcfc1f040004000e2092be8cd848c7cdcde2c5b57d933a8e37af7b0443342b8f07a237c145561916f10400050005010e20d1127a1856447c9c8f57ac1016150c81ee984ffb1edeb582a87e3cc76c2faeee059480d4aff9dcfc1f059480d4aff9dcfc1f04000400040004000404040204060580897a0408040a01000500040004000400040004000400040c0404040805000501058084af5f040204d00f04000400040004020580a4e8030400040204060404040a04060408040a040c040e040e041004120100d821d601db6308a7d602b2b5a5d9010263d801d604db63087202ed91b17204730093b27204730100b27201730200730300d603db63087202d604b27203730400d605b27201730500d606b27203730600d607b27201730700d6088c720701d609b27203730800d60ab27201730900d60b8c720a01d60cededededededededededed93c27202c2a7938c7204018c720501938c720601720892c17202730a938c720901720b93b17203b17201e4c672020401e4c672020501e4c672020601e4c672020701e4c672020801e4c672020901d60d730bd60e8c720902d60f8c720602d61099730c720fd611db6501fed612e4c6b2b57211d9011263d801d614db63087212ed91b17214730d938cb27214730e0001730f7310000506d6137311d6149d9c7e72100672127213d6158c720a02d6168c720702d6179973127216d618b2b57211d9011863d801d61adb63087218ed91b1721a7313938cb2721a731400017315731600d619e4c67218050ed61ab5a5d9011a6393c2721a7219d61be4c672180611d61c99720e7215d61d91721c7317d61e95721d721c9c721c7318d61f9372047205d6209972107217d621b5a5d901216393cbc272217319d1ececededed720c9372067207919d9c720d9a7e720e0672147e99731a8c720402069d9c720d9a7e7215069d9c7e721706721272137e99731b8c720502069591b1721a731cd806d622b2721a731d00d623b2db63087222731e00d624b2721b731f00d625b2721b732000d626b2721b732100d627b2721b732200eded93c27222721992c172227323ed928c722302a29590721e72249d721e72259590721e72269a9d99721e722472279d722472259a9a9d9999721e72267224b2721b7324009d722672279d72247225b2721b732500938c722301720b7326ededed720c721f721d8f722073279591b172217328d80bd622b27221732900d623b2db63087222732a00d6248c722302d6259d9c7e72240672127213d626b2b5a5d9012663d801d628db63087226ed91b17228732baee4c67218041ad901290eed938cb27228732c00017229937229e4c67222070e732d00d627e4c672260411d628b27227732e00d629b27227732f00d62ac17222d62bb27227733000d62ce4c672220911ededededededededededededed720c721f939a7224720f72168f721c7331ed937e9c721c73320672259272257e7228069372207224938c722301720893e4c6722206057333927eb27227733400069d9c72257e7229067e7335068f72147eb272277336000693dc0c1aada5d9012d63c5722d02c57222733799b2e4c6722609107338007339ed91722a733a92722a722bededededededed93b2722c733b00722993b2722c733c00b27227733d0093b2722c733e00b27227733f0093b2722c734000722b93b2722c734100722892b2722c7342007ea30593b2722c734300b2722773440093b2722c734500b272277346009072257eb27227734700067348",
"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(70,-110,-119,24,-65,0,35,-37,-48,-39,6,89,39,119,-8,-13,-76,2,-38,-70,19,-128,114,35,-33,-23,11,101,87,74,38,-54)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(-110,-66,-116,-40,72,-57,-51,-51,-30,-59,-75,125,-109,58,-114,55,-81,123,4,67,52,43,-113,7,-94,55,-63,69,86,25,22,-15)\n22: 0\n23: 0\n24: -1\n25: Coll(-47,18,122,24,86,68,124,-100,-113,87,-84,16,22,21,12,-127,-18,-104,79,-5,30,-34,-75,-126,-88,126,60,-57,108,47,-82,-18)\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": "32677ed3e39e825d1225cdd39c109b344193a6876794d98eae411746c661565c",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6a78927332833e1cc974dc3023802307214bff20fe187ba21bf2118e67a95a10",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "5111745356473bad65df3cd53dcbafb0fa76b770a9982a923e3894333bacf642",
"index": 2,
"amount": 9000000000000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 12350013,
"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": "125ce4a3822cdd1cd6f49f78cd1b4dea2a561b2ea6ff82560132c38e6207dc75",
"mainChain": true
},
{
"boxId": "96e0d8b2881cc3535208abcdc0c231b7ca0e099c992b1e1bcf9bad93a3a192d7",
"transactionId": "46b2a93be3a91fe104bea3994229114a73778ad256c4098cd27615c986f95a96",
"blockId": "6bd7501848c1a27c03dfa6648332fa8ae6771be5b3404ee5d129645312eb1eb3",
"value": 1000000,
"index": 1,
"globalIndex": 52113355,
"creationHeight": 1673170,
"settlementHeight": 1673172,
"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": "9b2a8a57f7d9094db0aefd36db79588bf02b3f7a14dd16f82cb8b096b0f23e09",
"mainChain": true
}
],
"size": 1794,
"isUnconfirmed": false
}