Transaction
ID: 6147cd4c52...f1c0
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.004 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:
0.005 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 36,563
Total coins transferred: 0.006 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000557 ERG
Raw Transaction Data
{
"id": "6147cd4c5281a0cf9336ae32eedc156d0905616f18fedc3dd70ebbc9cce3f1c0",
"blockId": "11880b1c711f145a2fb3a19e6ca3c964904328de2300066f1dd01679a4bd6977",
"inclusionHeight": 1727815,
"timestamp": 1771803701313,
"index": 1,
"globalIndex": 10344682,
"numConfirmations": 36563,
"inputs": [
{
"boxId": "dc2ac7eaeb4655d54bf5e79b820495f65955931e5e60310ca5522e3360e9cdf9",
"value": 4000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "9ff3ca930b2a79a3914cc0ec01a8ed983156424e3e7c454d6e5794d560f227bb",
"outputTransactionId": "aca13b78e009f812e23930ab5e25ec4ca5abe3b1bef66d23b9c674c4b3376018",
"outputIndex": 0,
"outputGlobalIndex": 53576001,
"outputCreatedAt": 1722187,
"outputSettledAt": 1722188,
"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(53,10,46,3,-60,3,80,-117,18,-119,93,-84,-8,51,-32,56,-96,-42,-109,18,-124,-123,82,47,-72,-124,-54,-21,35,-43,-103,13)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(67,56,6,24,-70,6,78,72,40,44,-53,-2,-13,118,83,-19,-22,119,-40,18,-10,-19,-56,-14,41,-109,-31,-24,12,-84,-100,8)\n22: 0\n23: 0\n24: -1\n25: Coll(-49,84,-61,62,-121,24,-40,-108,65,-73,-70,119,45,28,-89,-83,-91,40,-100,-2,-27,-90,-65,7,-45,-84,50,104,-95,94,-105,41)\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": "00fa2be6114e58ec0f213a93492bd44e554ae28540026604eea1092a980ff98e",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0ac2783a25b50230bbc8ba4a243d1a3fe9bb3a787237170b23facb5f4382ec82",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "1eaf32e2dafc2706e6d5641903eb612637af6a4d970700d452b08e2612b32b39",
"index": 2,
"amount": 8999999992000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 4000013,
"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": "d7b5cc01e464deab8fa4d715584f4d714666496458f61413f93275ec8f467af9",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "bd9da08df1c2c2c293c36e0d84a7de61c70cf4f3affe556298bdc384f3e85fb5",
"outputTransactionId": "a9a8087cb8ebd22f782645d2b9420ca036db572c36f10e34c80d41cd2ecd00d3",
"outputIndex": 0,
"outputGlobalIndex": 53646909,
"outputCreatedAt": 1724424,
"outputSettledAt": 1724425,
"ergoTree": "100f04000e2000fa2be6114e58ec0f213a93492bd44e554ae28540026604eea1092a980ff98e040004020406040004000580897a0406058080d4aff9dcfc1f0404058080d4aff9dcfc1f040404000402d808d601b2a5730000d602db63087201d6037301d604b2a4730200d605db63087204d606db6308a7d607b27206730300d608b27205730400d1ededededed938cb27202730500017203938cb272057306000172039299c17201c1720499c1a77307ed938c720702998cb27202730800028c720802938c7207018c72080193999973098cb27205730a000299730b8cb27202730c00028cb27206730d000293b2a4730e00a7",
"ergoTreeConstants": "0: 0\n1: Coll(0,-6,43,-26,17,78,88,-20,15,33,58,-109,73,43,-44,78,85,74,-30,-123,64,2,102,4,-18,-95,9,42,-104,15,-7,-114)\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": "r5zW3yf586Wj9MQRJ8huLn8hV2QGdzWmsrgsvBEAWXGqa2VZ31kEhJ3v8GDJteCPBjLb8LSsFyjxaRUQDciwpiNVsbf2PdJvAKBH4Skg4xDDAk8WuJq2F8AzaSMGTkHT9noEtojEHSxDtqsbJXgtPm5DwemgYGYJDFt325LURmKSMrZaazDMmHPtU4EWAkN3p549CMYGrGERoXRy5xHuQrqwFdjJgcRgJXF3qTnBV288LNnH8v7YzhPVcGX9w9VVtwJDegW2SpdVe3e9tzMLCGc1nrUYaFgKjqxSCdhx8oaFT3QqyDGwyqJCNSxzinx2oTqA9jX5HoYbtB2cgUd",
"assets": [
{
"tokenId": "1eaf32e2dafc2706e6d5641903eb612637af6a4d970700d452b08e2612b32b39",
"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": "b2c6eb11cbaef43bc1246d5a1bbe49109e8666432a911b310d49adb3f02ab56a",
"value": 1000000,
"index": 0,
"outputBlockId": "29a3c5e1f038c1099d395c9bf889a3cb8243b3076e092259e5363dc3ee43fb7e",
"outputTransactionId": "ab7d59d1d5ed8f9287a68d7c58dad297ba7d21c80c7b3d10b25697edc74ef03c",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05da90d201",
"sigmaType": "SLong",
"renderedValue": "1721389"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
},
{
"boxId": "d2e12c4e39aea040cff9dc767fd74e680c319209067373042b536869be18a695",
"value": 1000000,
"index": 1,
"outputBlockId": "29a3c5e1f038c1099d395c9bf889a3cb8243b3076e092259e5363dc3ee43fb7e",
"outputTransactionId": "3f5cda278dc32af5c96c0fb2d019672e5fca52e3bbefa237c4749790ce36de4a",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
"address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a012056bc77d10a28b3e4665c903ff38984fb74962d06a14775713d21ace659ac8e82",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[56bc77d10a28b3e4665c903ff38984fb74962d06a14775713d21ace659ac8e82]"
},
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "1106a01f80b518c0029003f40302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000,200000,160,200,250,1]"
}
}
}
],
"outputs": [
{
"boxId": "bcf8be59d665eacae3a5510565acd7a9ba2f1090945f4f1895ffa31c8a59af11",
"transactionId": "6147cd4c5281a0cf9336ae32eedc156d0905616f18fedc3dd70ebbc9cce3f1c0",
"blockId": "11880b1c711f145a2fb3a19e6ca3c964904328de2300066f1dd01679a4bd6977",
"value": 5000000,
"index": 0,
"globalIndex": 53741879,
"creationHeight": 1727813,
"settlementHeight": 1727815,
"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(53,10,46,3,-60,3,80,-117,18,-119,93,-84,-8,51,-32,56,-96,-42,-109,18,-124,-123,82,47,-72,-124,-54,-21,35,-43,-103,13)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(67,56,6,24,-70,6,78,72,40,44,-53,-2,-13,118,83,-19,-22,119,-40,18,-10,-19,-56,-14,41,-109,-31,-24,12,-84,-100,8)\n22: 0\n23: 0\n24: -1\n25: Coll(-49,84,-61,62,-121,24,-40,-108,65,-73,-70,119,45,28,-89,-83,-91,40,-100,-2,-27,-90,-65,7,-45,-84,50,104,-95,94,-105,41)\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": "00fa2be6114e58ec0f213a93492bd44e554ae28540026604eea1092a980ff98e",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0ac2783a25b50230bbc8ba4a243d1a3fe9bb3a787237170b23facb5f4382ec82",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "1eaf32e2dafc2706e6d5641903eb612637af6a4d970700d452b08e2612b32b39",
"index": 2,
"amount": 8999999996000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 8000014,
"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": "e187d6f1eca8d767ae8f848b1c72c21fd5932f051657cf9a2a934a021b08ac9d",
"mainChain": true
},
{
"boxId": "50c285a42cf7f418fa32da1e06e6981e9abb83170724587979157284a275f87e",
"transactionId": "6147cd4c5281a0cf9336ae32eedc156d0905616f18fedc3dd70ebbc9cce3f1c0",
"blockId": "11880b1c711f145a2fb3a19e6ca3c964904328de2300066f1dd01679a4bd6977",
"value": 1000000,
"index": 1,
"globalIndex": 53741880,
"creationHeight": 1727813,
"settlementHeight": 1727815,
"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": "9e4d93650a211850bd813181a997eac69127128a816d6958eead5d1143d527a2",
"mainChain": true
}
],
"size": 1794,
"isUnconfirmed": false
}