Transaction
ID: 2474a7a7a6...9ab2
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.225 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Unspent
Address:
Settlement height:
Value:
0.223 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
10
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 245,333
Total coins transferred: 0.227 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000226 ERG
Raw Transaction Data
{
"id": "2474a7a7a6f720d8affa2d329e625249daaba0c8ec20582189ebf04448749ab2",
"blockId": "7a164864640a3503d989a4771f7ef868f5a53d16a2bca786d3265d2ed24d8ae2",
"inclusionHeight": 1529826,
"timestamp": 1747840297540,
"index": 17,
"globalIndex": 8990800,
"numConfirmations": 245333,
"inputs": [
{
"boxId": "fbfe21db535f92d1923188351fbd6623129c925866770374b09a94f643ab896d",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "22c7c53943f522c0df995345a856f386c9aeb8985465d7282fb1c7b18fcbf85c",
"outputTransactionId": "68b3e73d8ae6e1dfa23a477c3b8cc4f8b84c5885cbfff5cc2f0643c666701458",
"outputIndex": 0,
"outputGlobalIndex": 47978612,
"outputCreatedAt": 1529662,
"outputSettledAt": 1529664,
"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(5,5,36,119,25,38,6,45,23,84,-71,-91,79,-17,-82,116,-90,-71,-64,-22,-2,-69,-4,6,-53,35,-58,71,69,38,-78,-102)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(60,-104,-80,63,116,44,-36,5,65,54,75,53,27,39,-124,41,-47,-29,120,-39,117,34,-55,1,103,76,-39,127,115,-48,19,47)\n22: 0\n23: 0\n24: -1\n25: Coll(120,-16,65,85,82,41,63,112,23,-17,17,-13,79,-50,106,-24,18,104,-24,-89,-63,89,123,59,-12,-87,-19,-31,116,-11,-120,-62)\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: 2\n47: 0\n48: -1\n49: 100000000\n50: 1\n51: 1000\n52: 0\n53: 0\n54: 0\n55: 1\n56: 4000000\n57: 0\n58: 1\n59: 3\n60: 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 tuple8 = coll3(placeholder[Int](8))\n val tuple9 = coll1(placeholder[Int](9))\n val coll10 = tuple9._1\n val bool11 = (\n (\n (\n (\n (\n (\n (\n (\n (((box2.propositionBytes == SELF.propositionBytes) && (tuple4._1 == tuple5._1)) && (tuple6._1 == tuple7._1)) && (\n box2.value >= placeholder[Long](10)\n )\n ) && (tuple8._1 == coll10)\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 bi12 = placeholder[BigInt](11)\n val l13 = tuple8._2\n val l14 = tuple6._2\n val l15 = placeholder[Long](12) - l14\n val coll16 = CONTEXT.dataInputs\n val bi17 = coll16.filter({(box17: Box) =>\n val coll19 = box17.tokens\n (coll19.size > placeholder[Int](13)) && (coll19(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15))\n })(placeholder[Int](16)).R5[BigInt].get\n val bi18 = placeholder[BigInt](17)\n val bi19 = l15.toBigInt * bi17 / bi18\n val l20 = tuple9._2\n val l21 = tuple7._2\n val l22 = placeholder[Long](18) - l21\n val box23 = coll16.filter({(box23: Box) =>\n val coll25 = box23.tokens\n (coll25.size > placeholder[Int](19)) && (coll25(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n })(placeholder[Int](22))\n val coll24 = box23.R5[Coll[Byte]].get\n val coll25 = OUTPUTS.filter({(box25: Box) => box25.propositionBytes == coll24 })\n val coll26 = box23.R6[Coll[Long]].get\n val l27 = l13 - l20\n val bool28 = l27 > placeholder[Long](23)\n val l29 = if (bool28) { l27 } else { l27 * placeholder[Long](24) }\n val bool30 = tuple4 == tuple5\n val l31 = l15 - l22\n val coll32 = OUTPUTS.filter({(box32: Box) => blake2b256(box32.propositionBytes) == placeholder[Coll[Byte]](25) })\n sigmaProp(\n (\n (\n (\n (bool11 && (tuple6 == tuple7)) && (\n bi12 * l13.toBigInt + bi19 / placeholder[Long](26) - tuple4._2.toBigInt > bi12 * l20.toBigInt + l22.toBigInt * bi17 / bi18 / placeholder[Long](\n 27\n ) - tuple5._2.toBigInt\n )\n ) && if (coll25.size > placeholder[Int](28)) {(\n val box33 = coll25(placeholder[Int](29))\n val tuple34 = box33.tokens(placeholder[Int](30))\n val l35 = coll26(placeholder[Int](31))\n val l36 = coll26(placeholder[Int](32))\n val l37 = coll26(placeholder[Int](33))\n val l38 = coll26(placeholder[Int](34))\n ((box33.propositionBytes == coll24) && (box33.value >= placeholder[Long](35))) && (\n (\n tuple34._2 >= max(\n if (l29 <= l35) { l29 / l36 } else {\n if (l29 <= l37) { l29 - l35 / l38 + l35 / l36 } else { l29 - l37 - l35 / coll26(placeholder[Int](36)) + l37 / l38 + l35 / l36 }\n }, coll26(placeholder[Int](37))\n )\n ) && (tuple34._1 == coll10)\n )\n )} else { placeholder[Boolean](38) }\n ) || (((bool11 && bool30) && bool28) && (l31 < placeholder[Long](39)))\n ) || if (coll32.size > placeholder[Int](40)) {(\n val box33 = coll32(placeholder[Int](41))\n val l34 = box33.tokens(placeholder[Int](42))._2\n val bi35 = l34.toBigInt * bi17 / bi18\n val box36 = OUTPUTS.filter({(box36: Box) =>\n val coll38 = box36.tokens\n (coll38.size > placeholder[Int](43)) && box23.R4[Coll[Coll[Byte]]].get.exists({(coll39: Coll[Byte]) => (coll38(placeholder[Int](44))._1 == coll39) && (coll39 == box33.R7[Coll[Byte]].get) })\n })(placeholder[Int](45))\n val coll37 = box36.R4[Coll[Long]].get\n val l38 = coll37(placeholder[Int](46))\n val coll39 = box33.R9[Coll[Long]].get\n (\n (\n (\n (\n (\n (\n ((((bool11 && bool30) && (l34 + l14 == l21)) && (l27 < placeholder[Long](47))) && (l27 * placeholder[Long](48).toBigInt == bi35)) && (\n l31 == l34\n )\n ) && (box33.R6[Long].get == placeholder[Long](49))\n ) && (coll37(placeholder[Int](50)).toBigInt >= bi35 * l38.toBigInt / placeholder[Int](51).toBigInt)\n ) && (bi19 < coll37(placeholder[Int](52)).toBigInt)\n ) && (\n OUTPUTS.map({(box40: Box) => box40.id }).indexOf(box33.id, placeholder[Int](53)) == box36.R9[Coll[Int]].get(placeholder[Int](54)) - placeholder[\n Int\n ](55)\n )\n ) && (box33.value > placeholder[Long](56))\n ) && ((coll39(placeholder[Int](57)) == l38) && (coll39(placeholder[Int](58)) == coll37(placeholder[Int](59))))\n )} else { placeholder[Boolean](60) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "a997ea18b1951f88001f327a90fd0cecd02bfe540681e0e7c623a8e005a2b2e5",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "531db3f8ecad0a02ed499f74632cf7e0654e2a66691f3a7f145fcec745c8b776",
"index": 1,
"amount": 9000000000000000,
"name": "Lend Token QUACKS-2.0",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "88f9c09805998b85222d3d0cc474256b8575e4c3a54b2228f774e9f3f9db54b9",
"index": 2,
"amount": 9000000000000000,
"name": "Borrow Token QUACKS-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 12000010,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "56764769bf42aa9ee6de635275dbc3cb25b1c5792f837d367cbb97fb9137ea72",
"value": 225000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "b7d4e4420bb9e57db35c2bcbd9fe3549b0aba3328a7e8587cf07c2f2df0b3c81",
"outputTransactionId": "c54d71aa1ab4088e520ff320f333833d104c2abfb5542e3c277a20472285aeca",
"outputIndex": 0,
"outputGlobalIndex": 47981723,
"outputCreatedAt": 1529819,
"outputSettledAt": 1529821,
"ergoTree": "100201010415d1ed730091a37301",
"ergoTreeConstants": "0: true\n1: -11",
"ergoTreeScript": "{sigmaProp(placeholder[Boolean](0) && (HEIGHT > placeholder[Int](1)))}",
"address": "ZX4bTHCJW2Kp6Fj4W75KWka2m",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "110280dac40980dac409",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000000,10000000]"
},
"R6": {
"serializedValue": "04d0dfba01",
"sigmaType": "SInt",
"renderedValue": "1529832"
},
"R8": {
"serializedValue": "0e20678f587b98944a6664d32cfe6edf7a6be1d1a96c43ba4298e807b700091e1865",
"sigmaType": "Coll[SByte]",
"renderedValue": "678f587b98944a6664d32cfe6edf7a6be1d1a96c43ba4298e807b700091e1865"
},
"R7": {
"serializedValue": "1102b0163c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1432,30]"
},
"R9": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
},
{
"boxId": "8729f6756e46e0e47e7d074d8f28ac99ca6f5b4d59c61c63f6e8cc186d6213ae",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "22c7c53943f522c0df995345a856f386c9aeb8985465d7282fb1c7b18fcbf85c",
"outputTransactionId": "c08e3145f57d3fac59f6a36bd89dbdfdb2a742e86a2057e4a99a9be6b8f21fc4",
"outputIndex": 0,
"outputGlobalIndex": 47978610,
"outputCreatedAt": 1529662,
"outputSettledAt": 1529664,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: -1\n9: 1\n10: 1\n11: CBigInt(0)\n12: CBigInt(2)\n13: CBigInt(100)\n14: CBigInt(1000)\n15: 0\n16: 2\n17: 5000000\n18: 1000000000000\n19: 1\n20: 2\n21: 1\n22: 3\n23: 30\n24: 0\n25: 0\n26: 2\n27: 1\n28: 2\n29: 1\n30: 0\n31: 2\n32: 0\n33: 1\n34: 0\n35: 0\n36: 0\n37: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS.filter({(box1: Box) =>\n val coll3 = box1.tokens\n (coll3.size > placeholder[Int](0)) && (coll3(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll2 = box1.R5[Coll[Coll[Byte]]].get\n val coll3 = box1.R6[Coll[Long]].get\n val coll4 = CONTEXT.dataInputs\n val coll5 = box1.R9[Coll[Int]].get\n val i6 = coll5(placeholder[Int](4))\n val box7 = coll4(i6)\n val coll8 = box7.tokens\n val i9 = coll5(placeholder[Int](5))\n val box10 = if (i9 > placeholder[Int](6)) { OUTPUTS(i9 - placeholder[Int](7)) } else { INPUTS(i9 * placeholder[Int](8) - placeholder[Int](9)) }\n val bi11 = box10.value.toBigInt\n val coll12 = coll4.slice(i6 + placeholder[Int](10), coll4.size)\n val coll13 = box1.R7[Coll[Long]].get\n val bi14 = placeholder[BigInt](11)\n val bi15 = placeholder[BigInt](12)\n val bi16 = placeholder[BigInt](13)\n val bi17 = placeholder[BigInt](14)\n val bi18 = bi11 + coll12.zip(coll13).fold(bi14, {(tuple18: (BigInt, (Box, Long))) =>\n val tuple20 = tuple18._2\n val l21 = tuple20._2\n val box22 = tuple20._1\n val bi23 = tuple18._1\n if (l21 > placeholder[Long](15)) {(\n val bi24 = l21.toBigInt\n val bi25 = box22.R4[Int].get.toBigInt\n val bi26 = box22.tokens(placeholder[Int](16))._2.toBigInt\n bi23 + box22.value.toBigInt * bi24 * bi25 / bi26 + bi26 * bi15 / bi16 * bi17 + bi24 * bi25\n )} else { bi23 }\n }) - placeholder[Int](17).toBigInt\n val bi19 = box7.R4[Int].get.toBigInt\n val bi20 = box7.value.toBigInt\n val coll21 = box1.R4[Coll[Long]].get\n val l22 = placeholder[Long](18)\n val coll23 = box10.tokens\n val i24 = coll23.size\n val coll25 = box1.R8[Coll[Coll[Byte]]].get\n val coll26 = coll2.slice(placeholder[Int](19), coll2.size)\n val i27 = coll12.size\n val i28 = coll13.size\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box1.propositionBytes == SELF.propositionBytes) && ((coll2 == SELF.R5[Coll[Coll[Byte]]].get) && (coll3 == SELF.R6[Coll[Long]].get))\n ) && (\n coll8(placeholder[Int](20))._2.toBigInt * bi18 * bi19 / bi20 + bi20 * bi15 / bi16 * bi17 + bi18 * bi19 == coll21(\n placeholder[Int](21)\n ).toBigInt\n )\n ) && (coll21(placeholder[Int](22)) == placeholder[Long](23))\n ) && (bi11 * l22.toBigInt * coll3(placeholder[Int](24)).toBigInt / bi18 + coll13.indices.fold(bi14, {(tuple29: (BigInt, Int)) =>\n val i31 = tuple29._2\n val l32 = coll13(i31)\n val bi33 = tuple29._1\n if (l32 > placeholder[Long](25)) {(\n val box34 = coll12(i31)\n val bi35 = l32.toBigInt\n val bi36 = box34.R4[Int].get.toBigInt\n val bi37 = box34.tokens(placeholder[Int](26))._2.toBigInt\n bi33 + box34.value.toBigInt * bi35 * bi36 / bi37 + bi37 * bi15 / bi16 * bi17 + bi35 * bi36 * l22.toBigInt * coll3.slice(placeholder[Int](27), coll3.size)(i31).toBigInt / bi18\n )} else { bi33 }\n }) / l22.toBigInt == coll21(placeholder[Int](28)).toBigInt)\n ) && coll23.slice(placeholder[Int](29), i24).forall(\n {(tuple29: (Coll[Byte], Long)) => coll25.zip(coll13).exists({(tuple31: (Coll[Byte], Long)) => tuple31 == tuple29 }) }\n )\n ) && coll26.indices.forall({(i29: Int) =>\n val coll31 = coll12(i29).tokens\n (coll26(i29) == coll31(placeholder[Int](30))._1) && (coll25(i29) == coll31(placeholder[Int](31))._1)\n })\n ) && ((i27 == i28) && (i27 == coll26.size))\n ) && (i28 == coll25.size)\n ) && (coll13.filter({(l29: Long) => l29 == placeholder[Long](32) }).size == i28 - i24 - placeholder[Int](33))\n ) && (SELF.R4[Coll[Long]].get(placeholder[Int](34)) == coll21(placeholder[Int](35)))\n ) && (coll8(placeholder[Int](36))._1 == coll2(placeholder[Int](37)))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "678f587b98944a6664d32cfe6edf7a6be1d1a96c43ba4298e807b700091e1865",
"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110180a8d6b907",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000000000]"
},
"R5": {
"serializedValue": "1a012046463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[46463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1]"
},
"R6": {
"serializedValue": "1101f015",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1400]"
}
}
}
],
"dataInputs": [
{
"boxId": "e0dca613c8ff033afdbec5aed01fea571a10463d1ae80a5f032195e6e89e569b",
"value": 1000000,
"index": 0,
"outputBlockId": "22c7c53943f522c0df995345a856f386c9aeb8985465d7282fb1c7b18fcbf85c",
"outputTransactionId": "9e879ab95365bd7ccba5c3faf6572fb19afb6f7be902580e200964e14fac0922",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05f8dcba01",
"sigmaType": "SLong",
"renderedValue": "1529660"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
},
{
"boxId": "5ea91efa903eb48126d54629a4b8f02933cef4de981e35524bbec64bc9676380",
"value": 1000000,
"index": 1,
"outputBlockId": "22c7c53943f522c0df995345a856f386c9aeb8985465d7282fb1c7b18fcbf85c",
"outputTransactionId": "370765ae3409496d7603c8d902fc26012aeaf4a02bf1b7fa25eab6db8df60715",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
"address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120678f587b98944a6664d32cfe6edf7a6be1d1a96c43ba4298e807b700091e1865",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[678f587b98944a6664d32cfe6edf7a6be1d1a96c43ba4298e807b700091e1865]"
},
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "1106a01f80b518c0029003f40302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000,200000,160,200,250,1]"
}
}
},
{
"boxId": "bcfc31b85d5a654e9907280cfa4f06054d233bff19ec86044d4c60d18594f27e",
"value": 17111446732560,
"index": 2,
"outputBlockId": "ceafdc17fbd927e56ebeef99de2c01bfca17e39a027e4a73445de4436b87640d",
"outputTransactionId": "bd1d03daa0946c8a6776a8635e7b7e4e885e4355f9caf9a8ff469c3fd0ccdf4c",
"outputIndex": 0,
"ergoTree": "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",
"address": "5vSUZRZbdVbnk4sJWjg2uhL94VZWRg4iatK9VgMChufzUgdihgvhR8yWSUEJKszzV7Vmi6K8hCyKTNhUaiP8p5ko6YEU9yfHpjVuXdQ4i5p4cRCzch6ZiqWrNukYjv7Vs5jvBwqg5hcEJ8u1eerr537YLWUoxxi1M4vQxuaCihzPKMt8NDXP4WcbN6mfNxxLZeGBvsHVvVmina5THaECosCWozKJFBnscjhpr3AJsdaL8evXAvPfEjGhVMoTKXAb2ZGGRmR8g1eZshaHmgTg2imSiaoXU5eiF3HvBnDuawaCtt674ikZ3oZdekqswcVPGMwqqUKVsGY4QuFeQoGwRkMqEYTdV2UDMMsfrjrBYQYKUBFMwsQGMNBL1VoY78aotXzdeqJCBVKbQdD3ZZWvukhSe4xrz8tcF3PoxpysDLt89boMqZJtGEHTV9UBTBEac6sDyQP693qT3nKaErN8TCXrJBUmHPqKozAg9bwxTqMYkpmb9iVKLSoJxG7MjAj72SRbcqQfNCVTztSwN3cRxSrVtz4p87jNFbVtFzhPg7UqDwNFTaasySCqM",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
}
],
"outputs": [
{
"boxId": "0e55d6c330e3939306f97eae19b6caf57c80f9c29ffc0ec92967c02e68b633d9",
"transactionId": "2474a7a7a6f720d8affa2d329e625249daaba0c8ec20582189ebf04448749ab2",
"blockId": "7a164864640a3503d989a4771f7ef868f5a53d16a2bca786d3265d2ed24d8ae2",
"value": 1000000,
"index": 0,
"globalIndex": 47981861,
"creationHeight": 1529824,
"settlementHeight": 1529826,
"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(5,5,36,119,25,38,6,45,23,84,-71,-91,79,-17,-82,116,-90,-71,-64,-22,-2,-69,-4,6,-53,35,-58,71,69,38,-78,-102)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(60,-104,-80,63,116,44,-36,5,65,54,75,53,27,39,-124,41,-47,-29,120,-39,117,34,-55,1,103,76,-39,127,115,-48,19,47)\n22: 0\n23: 0\n24: -1\n25: Coll(120,-16,65,85,82,41,63,112,23,-17,17,-13,79,-50,106,-24,18,104,-24,-89,-63,89,123,59,-12,-87,-19,-31,116,-11,-120,-62)\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: 2\n47: 0\n48: -1\n49: 100000000\n50: 1\n51: 1000\n52: 0\n53: 0\n54: 0\n55: 1\n56: 4000000\n57: 0\n58: 1\n59: 3\n60: 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 tuple8 = coll3(placeholder[Int](8))\n val tuple9 = coll1(placeholder[Int](9))\n val coll10 = tuple9._1\n val bool11 = (\n (\n (\n (\n (\n (\n (\n (\n (((box2.propositionBytes == SELF.propositionBytes) && (tuple4._1 == tuple5._1)) && (tuple6._1 == tuple7._1)) && (\n box2.value >= placeholder[Long](10)\n )\n ) && (tuple8._1 == coll10)\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 bi12 = placeholder[BigInt](11)\n val l13 = tuple8._2\n val l14 = tuple6._2\n val l15 = placeholder[Long](12) - l14\n val coll16 = CONTEXT.dataInputs\n val bi17 = coll16.filter({(box17: Box) =>\n val coll19 = box17.tokens\n (coll19.size > placeholder[Int](13)) && (coll19(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15))\n })(placeholder[Int](16)).R5[BigInt].get\n val bi18 = placeholder[BigInt](17)\n val bi19 = l15.toBigInt * bi17 / bi18\n val l20 = tuple9._2\n val l21 = tuple7._2\n val l22 = placeholder[Long](18) - l21\n val box23 = coll16.filter({(box23: Box) =>\n val coll25 = box23.tokens\n (coll25.size > placeholder[Int](19)) && (coll25(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n })(placeholder[Int](22))\n val coll24 = box23.R5[Coll[Byte]].get\n val coll25 = OUTPUTS.filter({(box25: Box) => box25.propositionBytes == coll24 })\n val coll26 = box23.R6[Coll[Long]].get\n val l27 = l13 - l20\n val bool28 = l27 > placeholder[Long](23)\n val l29 = if (bool28) { l27 } else { l27 * placeholder[Long](24) }\n val bool30 = tuple4 == tuple5\n val l31 = l15 - l22\n val coll32 = OUTPUTS.filter({(box32: Box) => blake2b256(box32.propositionBytes) == placeholder[Coll[Byte]](25) })\n sigmaProp(\n (\n (\n (\n (bool11 && (tuple6 == tuple7)) && (\n bi12 * l13.toBigInt + bi19 / placeholder[Long](26) - tuple4._2.toBigInt > bi12 * l20.toBigInt + l22.toBigInt * bi17 / bi18 / placeholder[Long](\n 27\n ) - tuple5._2.toBigInt\n )\n ) && if (coll25.size > placeholder[Int](28)) {(\n val box33 = coll25(placeholder[Int](29))\n val tuple34 = box33.tokens(placeholder[Int](30))\n val l35 = coll26(placeholder[Int](31))\n val l36 = coll26(placeholder[Int](32))\n val l37 = coll26(placeholder[Int](33))\n val l38 = coll26(placeholder[Int](34))\n ((box33.propositionBytes == coll24) && (box33.value >= placeholder[Long](35))) && (\n (\n tuple34._2 >= max(\n if (l29 <= l35) { l29 / l36 } else {\n if (l29 <= l37) { l29 - l35 / l38 + l35 / l36 } else { l29 - l37 - l35 / coll26(placeholder[Int](36)) + l37 / l38 + l35 / l36 }\n }, coll26(placeholder[Int](37))\n )\n ) && (tuple34._1 == coll10)\n )\n )} else { placeholder[Boolean](38) }\n ) || (((bool11 && bool30) && bool28) && (l31 < placeholder[Long](39)))\n ) || if (coll32.size > placeholder[Int](40)) {(\n val box33 = coll32(placeholder[Int](41))\n val l34 = box33.tokens(placeholder[Int](42))._2\n val bi35 = l34.toBigInt * bi17 / bi18\n val box36 = OUTPUTS.filter({(box36: Box) =>\n val coll38 = box36.tokens\n (coll38.size > placeholder[Int](43)) && box23.R4[Coll[Coll[Byte]]].get.exists({(coll39: Coll[Byte]) => (coll38(placeholder[Int](44))._1 == coll39) && (coll39 == box33.R7[Coll[Byte]].get) })\n })(placeholder[Int](45))\n val coll37 = box36.R4[Coll[Long]].get\n val l38 = coll37(placeholder[Int](46))\n val coll39 = box33.R9[Coll[Long]].get\n (\n (\n (\n (\n (\n (\n ((((bool11 && bool30) && (l34 + l14 == l21)) && (l27 < placeholder[Long](47))) && (l27 * placeholder[Long](48).toBigInt == bi35)) && (\n l31 == l34\n )\n ) && (box33.R6[Long].get == placeholder[Long](49))\n ) && (coll37(placeholder[Int](50)).toBigInt >= bi35 * l38.toBigInt / placeholder[Int](51).toBigInt)\n ) && (bi19 < coll37(placeholder[Int](52)).toBigInt)\n ) && (\n OUTPUTS.map({(box40: Box) => box40.id }).indexOf(box33.id, placeholder[Int](53)) == box36.R9[Coll[Int]].get(placeholder[Int](54)) - placeholder[\n Int\n ](55)\n )\n ) && (box33.value > placeholder[Long](56))\n ) && ((coll39(placeholder[Int](57)) == l38) && (coll39(placeholder[Int](58)) == coll37(placeholder[Int](59))))\n )} else { placeholder[Boolean](60) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "a997ea18b1951f88001f327a90fd0cecd02bfe540681e0e7c623a8e005a2b2e5",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "531db3f8ecad0a02ed499f74632cf7e0654e2a66691f3a7f145fcec745c8b776",
"index": 1,
"amount": 9000000000000000,
"name": "Lend Token QUACKS-2.0",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "88f9c09805998b85222d3d0cc474256b8575e4c3a54b2228f774e9f3f9db54b9",
"index": 2,
"amount": 8999999990000000,
"name": "Borrow Token QUACKS-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 2000010,
"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": null,
"mainChain": true
},
{
"boxId": "1cff471ae73deefa0fee3f57e190987c0b15c7935738442a84779098910331c1",
"transactionId": "2474a7a7a6f720d8affa2d329e625249daaba0c8ec20582189ebf04448749ab2",
"blockId": "7a164864640a3503d989a4771f7ef868f5a53d16a2bca786d3265d2ed24d8ae2",
"value": 223000000,
"index": 1,
"globalIndex": 47981862,
"creationHeight": 1529824,
"settlementHeight": 1529826,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-78,-43,-67,43,84,-17,28,-22,29,-85,-51,-6,-5,-47,19,66,48,15,-7,-124,-70,-96,-89,98,56,27,-108,103,-119,-43,68,-36)\n3: 0\n4: CBigInt(10000000000000000)\n5: 0\n6: 0\n7: Coll(5,5,36,119,25,38,6,45,23,84,-71,-91,79,-17,-82,116,-90,-71,-64,-22,-2,-69,-4,6,-53,35,-58,71,69,38,-78,-102)\n8: 0\n9: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n10: 0\n11: 0\n12: 0\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: 0\n19: 1\n20: 2\n21: 0\n22: 0\n23: 0\n24: 1\n25: 0\n26: 0\n27: 1\n28: 0\n29: 1\n30: 1\n31: 1\n32: 1000000\n33: 1000000\n34: 1000\n35: 1000\n36: 1000000\n37: 5\n38: 0\n39: 0\n40: 0\n41: 3000000\n42: 1000000\n43: 0\n44: 1\n45: 3\n46: 1000\n47: 1\n48: 1\n49: 980000\n50: 1000000\n51: 1000000\n52: CBigInt(1)\n53: 0\n54: 0\n55: 0\n56: 0\n57: -1\n58: 1\n59: 1\n60: 1000000\n61: 1000000\n62: 0\n63: 1000000",
"ergoTreeScript": "{\n val coll1 = SELF.R7[Coll[Byte]].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == coll1)\n })\n val coll3 = SELF.propositionBytes\n val coll4 = placeholder[Coll[Byte]](2)\n val coll5 = SELF.tokens\n val tuple6 = coll5(placeholder[Int](3))\n val coll7 = tuple6._1\n val coll8 = SELF.R4[Coll[Byte]].get\n val ge9 = SELF.R5[GroupElement].get\n val l10 = SELF.R6[Long].get\n val coll11 = SELF.R9[Coll[Long]].get\n val l12 = SELF.value\n val bi13 = placeholder[BigInt](4)\n val bi14 = CONTEXT.dataInputs.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](5)) && (coll16(placeholder[Int](6))._1 == placeholder[Coll[Byte]](7))\n })(placeholder[Int](8)).R5[BigInt].get\n val l15 = tuple6._2\n val bi16 = l15.toBigInt\n val coll17 = placeholder[Coll[Byte]](9)\n val func18 = {(box18: Box) =>\n val coll20 = box18.propositionBytes\n val coll21 = blake2b256(coll20)\n val bool22 = coll21 == coll4\n bool22\n }\n val coll19 = OUTPUTS.filter(func18)\n val box20 = coll19.getOrElse(placeholder[Int](10), SELF)\n val coll21 = box20.tokens\n val tuple22 = coll21(placeholder[Int](11))\n val l23 = coll11(placeholder[Int](12))\n val bi24 = bi16 * bi14 / bi13\n val box25 = coll19.getOrElse(placeholder[Int](13), SELF)\n val coll26 = box25.tokens\n val tuple27 = coll26(placeholder[Int](14))\n val func28 = {(box28: Box) =>\n val coll30 = box28.propositionBytes\n val coll31 = blake2b256(coll30)\n val bool32 = coll31 == coll4\n bool32\n }\n val coll29 = OUTPUTS.filter(func28)\n val box30 = coll29.getOrElse(placeholder[Int](15), SELF)\n val coll31 = box30.tokens\n val tuple32 = coll31(placeholder[Int](16))\n if (coll2.size > placeholder[Int](17)) {(\n val coll33 = OUTPUTS.filter({(box33: Box) => box33.propositionBytes == coll3 })\n val func34 = func18\n val coll35 = coll19\n val box36 = coll2.getOrElse(placeholder[Int](18), SELF)\n val coll37 = box36.R4[Coll[Long]].get\n val l38 = coll37(placeholder[Int](19))\n val l39 = coll37(placeholder[Int](20))\n if (coll33.size > placeholder[Int](21)) {(\n val box40 = coll33.getOrElse(placeholder[Int](22), SELF)\n val l41 = box40.value\n val coll42 = box40.tokens\n val tuple43 = coll42(placeholder[Int](23))\n val coll44 = box40.R8[Coll[Byte]].get\n val bool45 = (\n (\n ((((tuple43._1 == coll7) && (box40.R4[Coll[Byte]].get == coll8)) && (box40.R5[GroupElement].get == ge9)) && (box40.R7[Coll[Byte]].get == coll1)) && (\n SELF.R8[Coll[Byte]].get == coll44\n )\n ) && (INPUTS.filter({(box45: Box) => box45.propositionBytes == coll3 }).size == placeholder[Int](24))\n ) && (\n OUTPUTS.map({(box45: Box) => box45.id }).indexOf(box40.id, placeholder[Int](25)) == box36.R9[Coll[Int]].get(placeholder[Int](26)) - placeholder[Int](27)\n )\n val l46 = tuple43._2\n val l47 = box40.R6[Long].get\n val coll48 = box40.R9[Coll[Long]].get\n val bool49 = coll48 == coll11\n if (coll35.size > placeholder[Int](28)) {(\n val bi50 = l46.toBigInt\n val box51 = box20\n val coll52 = coll21\n val tuple53 = coll52(placeholder[Int](29))\n val tuple54 = tuple22\n sigmaProp(\n (\n (\n (\n (\n (\n ((bool45 && (l41 >= l12)) && (bi50 >= bi16 - tuple53._2.toBigInt * bi13 / bi14)) && (\n coll42.slice(placeholder[Int](30), coll42.size) == coll5.slice(placeholder[Int](31), coll5.size)\n )\n ) && (l47 == l10)\n ) && (((box51.value >= placeholder[Int](32).toLong + placeholder[Long](33)) && (tuple54._1 == coll7)) && (tuple53._1 == coll17))\n ) && (tuple54._2 == l15 - l46)\n ) && (l38.toBigInt >= bi50 * bi14 / bi13 * l23.toBigInt / placeholder[Int](34).toBigInt)\n ) && bool49\n )\n )} else {(\n val bi50 = l38.toBigInt\n val i51 = placeholder[Int](35)\n sigmaProp(\n (\n (\n (((bool45 && (l41 >= l12 - placeholder[Long](36))) && (coll42 == coll5)) && (l47 > HEIGHT.toLong)) && (l47 < HEIGHT + placeholder[Int](37).toLong)\n ) && (bi50 < l46.toBigInt * bi14 / bi13 * l23.toBigInt / i51.toBigInt)\n ) && bool49\n ) || sigmaProp(INPUTS.filter({(box52: Box) =>\n val coll54 = box52.tokens\n (coll54.size > placeholder[Int](38)) && (coll54(placeholder[Int](39))._1 == coll44)\n }).size > placeholder[Int](40)) || proveDlog(ge9) && sigmaProp(\n (\n ((bool45 && (l41 >= placeholder[Int](41).toLong + placeholder[Long](42))) && (bi50 >= bi24 * l39.toBigInt / i51.toBigInt)) && (tuple43 == tuple6)\n ) && ((coll48(placeholder[Int](43)) == l39) && (coll48(placeholder[Int](44)) == coll37(placeholder[Int](45))))\n )\n )}\n )} else {(\n val bi40 = l38.toBigInt\n val i41 = placeholder[Int](46)\n val box42 = box25\n val coll43 = coll26\n val tuple44 = tuple27\n val tuple45 = coll43(placeholder[Int](47))\n val bi46 = bi40 - bi24\n val bi47 = coll11(placeholder[Int](48)).toBigInt\n val bi48 = bi46 * i41.toBigInt - bi47 / i41.toBigInt\n val l49 = tuple45._2\n sigmaProp(\n (\n (\n (\n (\n ((bi40 <= bi24 * l23.toBigInt / i41.toBigInt) && (HEIGHT.toLong >= l10)) || (\n HEIGHT.toLong > SELF.creationInfo._1.toLong + placeholder[Long](49)\n )\n ) && (((box42.value >= placeholder[Int](50).toLong + placeholder[Long](51)) && (tuple44._1 == coll7)) && (tuple45._1 == coll17))\n ) && (tuple44._2 == l15)\n ) && if (bi48 < placeholder[BigInt](52)) { l49.toBigInt >= bi40 } else {(\n val tuple50 = OUTPUTS.filter({(box50: Box) => box50.propositionBytes == coll8 }).getOrElse(placeholder[Int](53), SELF).tokens(placeholder[Int](54))\n ((l49.toBigInt >= bi24 + bi46 * bi47 / i41.toBigInt) && (tuple50._2.toBigInt >= bi48)) && (tuple50._1 == coll17)\n )}\n ) && (\n INPUTS.map({(box50: Box) => box50.id }).indexOf(SELF.id, placeholder[Int](55)) == box36.R9[Coll[Int]].get(placeholder[Int](56)) * placeholder[Int](\n 57\n ) - placeholder[Int](58)\n )\n )\n )}\n )} else {(\n val func33 = func28\n val coll34 = coll29\n val box35 = box30\n val coll36 = coll31\n val tuple37 = tuple32\n val tuple38 = coll36(placeholder[Int](59))\n sigmaProp(\n (\n (\n (((box35.value >= placeholder[Int](60).toLong + placeholder[Long](61)) && (tuple37._1 == coll7)) && (tuple38._1 == coll17)) && (tuple37._2 == l15)\n ) && (tuple38._2.toBigInt > bi24)\n ) && (OUTPUTS.filter({(box39: Box) => box39.propositionBytes == coll8 }).getOrElse(placeholder[Int](62), SELF).value >= l12 - placeholder[Long](63))\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "88f9c09805998b85222d3d0cc474256b8575e4c3a54b2228f774e9f3f9db54b9",
"index": 0,
"amount": 10000000,
"name": "Borrow Token QUACKS-2.0",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R8": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R7": {
"serializedValue": "0e20678f587b98944a6664d32cfe6edf7a6be1d1a96c43ba4298e807b700091e1865",
"sigmaType": "Coll[SByte]",
"renderedValue": "678f587b98944a6664d32cfe6edf7a6be1d1a96c43ba4298e807b700091e1865"
},
"R9": {
"serializedValue": "1102b0163c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1432,30]"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "e2ee6f0e05023c4b5ca52ee3a578924f590587292d8c34b92a15560918698baa",
"transactionId": "2474a7a7a6f720d8affa2d329e625249daaba0c8ec20582189ebf04448749ab2",
"blockId": "7a164864640a3503d989a4771f7ef868f5a53d16a2bca786d3265d2ed24d8ae2",
"value": 1000000,
"index": 2,
"globalIndex": 47981863,
"creationHeight": 1529824,
"settlementHeight": 1529826,
"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
"assets": [
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 0,
"amount": 10000000,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2056764769bf42aa9ee6de635275dbc3cb25b1c5792f837d367cbb97fb9137ea72",
"sigmaType": "Coll[SByte]",
"renderedValue": "56764769bf42aa9ee6de635275dbc3cb25b1c5792f837d367cbb97fb9137ea72"
}
},
"spentTransactionId": "3e7ebc0846114464d6bdf56891ff3887ca8d6b407dd44984f89fb59c7b3c1801",
"mainChain": true
},
{
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"transactionId": "2474a7a7a6f720d8affa2d329e625249daaba0c8ec20582189ebf04448749ab2",
"blockId": "7a164864640a3503d989a4771f7ef868f5a53d16a2bca786d3265d2ed24d8ae2",
"value": 1000000,
"index": 3,
"globalIndex": 47981864,
"creationHeight": 1529824,
"settlementHeight": 1529826,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: -1\n9: 1\n10: 1\n11: CBigInt(0)\n12: CBigInt(2)\n13: CBigInt(100)\n14: CBigInt(1000)\n15: 0\n16: 2\n17: 5000000\n18: 1000000000000\n19: 1\n20: 2\n21: 1\n22: 3\n23: 30\n24: 0\n25: 0\n26: 2\n27: 1\n28: 2\n29: 1\n30: 0\n31: 2\n32: 0\n33: 1\n34: 0\n35: 0\n36: 0\n37: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS.filter({(box1: Box) =>\n val coll3 = box1.tokens\n (coll3.size > placeholder[Int](0)) && (coll3(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll2 = box1.R5[Coll[Coll[Byte]]].get\n val coll3 = box1.R6[Coll[Long]].get\n val coll4 = CONTEXT.dataInputs\n val coll5 = box1.R9[Coll[Int]].get\n val i6 = coll5(placeholder[Int](4))\n val box7 = coll4(i6)\n val coll8 = box7.tokens\n val i9 = coll5(placeholder[Int](5))\n val box10 = if (i9 > placeholder[Int](6)) { OUTPUTS(i9 - placeholder[Int](7)) } else { INPUTS(i9 * placeholder[Int](8) - placeholder[Int](9)) }\n val bi11 = box10.value.toBigInt\n val coll12 = coll4.slice(i6 + placeholder[Int](10), coll4.size)\n val coll13 = box1.R7[Coll[Long]].get\n val bi14 = placeholder[BigInt](11)\n val bi15 = placeholder[BigInt](12)\n val bi16 = placeholder[BigInt](13)\n val bi17 = placeholder[BigInt](14)\n val bi18 = bi11 + coll12.zip(coll13).fold(bi14, {(tuple18: (BigInt, (Box, Long))) =>\n val tuple20 = tuple18._2\n val l21 = tuple20._2\n val box22 = tuple20._1\n val bi23 = tuple18._1\n if (l21 > placeholder[Long](15)) {(\n val bi24 = l21.toBigInt\n val bi25 = box22.R4[Int].get.toBigInt\n val bi26 = box22.tokens(placeholder[Int](16))._2.toBigInt\n bi23 + box22.value.toBigInt * bi24 * bi25 / bi26 + bi26 * bi15 / bi16 * bi17 + bi24 * bi25\n )} else { bi23 }\n }) - placeholder[Int](17).toBigInt\n val bi19 = box7.R4[Int].get.toBigInt\n val bi20 = box7.value.toBigInt\n val coll21 = box1.R4[Coll[Long]].get\n val l22 = placeholder[Long](18)\n val coll23 = box10.tokens\n val i24 = coll23.size\n val coll25 = box1.R8[Coll[Coll[Byte]]].get\n val coll26 = coll2.slice(placeholder[Int](19), coll2.size)\n val i27 = coll12.size\n val i28 = coll13.size\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box1.propositionBytes == SELF.propositionBytes) && ((coll2 == SELF.R5[Coll[Coll[Byte]]].get) && (coll3 == SELF.R6[Coll[Long]].get))\n ) && (\n coll8(placeholder[Int](20))._2.toBigInt * bi18 * bi19 / bi20 + bi20 * bi15 / bi16 * bi17 + bi18 * bi19 == coll21(\n placeholder[Int](21)\n ).toBigInt\n )\n ) && (coll21(placeholder[Int](22)) == placeholder[Long](23))\n ) && (bi11 * l22.toBigInt * coll3(placeholder[Int](24)).toBigInt / bi18 + coll13.indices.fold(bi14, {(tuple29: (BigInt, Int)) =>\n val i31 = tuple29._2\n val l32 = coll13(i31)\n val bi33 = tuple29._1\n if (l32 > placeholder[Long](25)) {(\n val box34 = coll12(i31)\n val bi35 = l32.toBigInt\n val bi36 = box34.R4[Int].get.toBigInt\n val bi37 = box34.tokens(placeholder[Int](26))._2.toBigInt\n bi33 + box34.value.toBigInt * bi35 * bi36 / bi37 + bi37 * bi15 / bi16 * bi17 + bi35 * bi36 * l22.toBigInt * coll3.slice(placeholder[Int](27), coll3.size)(i31).toBigInt / bi18\n )} else { bi33 }\n }) / l22.toBigInt == coll21(placeholder[Int](28)).toBigInt)\n ) && coll23.slice(placeholder[Int](29), i24).forall(\n {(tuple29: (Coll[Byte], Long)) => coll25.zip(coll13).exists({(tuple31: (Coll[Byte], Long)) => tuple31 == tuple29 }) }\n )\n ) && coll26.indices.forall({(i29: Int) =>\n val coll31 = coll12(i29).tokens\n (coll26(i29) == coll31(placeholder[Int](30))._1) && (coll25(i29) == coll31(placeholder[Int](31))._1)\n })\n ) && ((i27 == i28) && (i27 == coll26.size))\n ) && (i28 == coll25.size)\n ) && (coll13.filter({(l29: Long) => l29 == placeholder[Long](32) }).size == i28 - i24 - placeholder[Int](33))\n ) && (SELF.R4[Coll[Long]].get(placeholder[Int](34)) == coll21(placeholder[Int](35)))\n ) && (coll8(placeholder[Int](36))._1 == coll2(placeholder[Int](37)))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "678f587b98944a6664d32cfe6edf7a6be1d1a96c43ba4298e807b700091e1865",
"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1a012046463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[46463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1]"
},
"R6": {
"serializedValue": "1101f015",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1400]"
},
"R8": {
"serializedValue": "1a00",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[]"
},
"R7": {
"serializedValue": "1100",
"sigmaType": "Coll[SLong]",
"renderedValue": "[]"
},
"R9": {
"serializedValue": "10020404",
"sigmaType": "Coll[SInt]",
"renderedValue": "[2,2]"
},
"R4": {
"serializedValue": "110480a8d6b9078ea5bc10b0163c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000000000,17271111,1432,30]"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "46c27100f1e699976fab5821fbd77a77e715797caa8b9f8e90502f015a0a3d0e",
"transactionId": "2474a7a7a6f720d8affa2d329e625249daaba0c8ec20582189ebf04448749ab2",
"blockId": "7a164864640a3503d989a4771f7ef868f5a53d16a2bca786d3265d2ed24d8ae2",
"value": 1000000,
"index": 4,
"globalIndex": 47981865,
"creationHeight": 1529824,
"settlementHeight": 1529826,
"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": "c1e335754cf35257f756704b9ecfa7b551b630e3396334313eeb3079cf4ad6ee",
"mainChain": true
}
],
"size": 4422,
"isUnconfirmed": false
}