Transaction
ID: 738e6d4ddb...c0ba
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.004 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:
0.004 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.223 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
10
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 248,565
Total coins transferred: 0.23 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000238 ERG
Raw Transaction Data
{
"id": "738e6d4ddbe96f570a967e102b2a7e897a1cb436eee691d0018c7ebdaa86c0ba",
"blockId": "00e1be7fa71ed15d3f82ea44109ddd1b86b833d14c135fda91585f5a3cbd44c7",
"inclusionHeight": 1526979,
"timestamp": 1747490133850,
"index": 1,
"globalIndex": 8975415,
"numConfirmations": 248565,
"inputs": [
{
"boxId": "019a3ce5e78276d73efeb7a74c3bf075a198053f58388438c7292356c661a012",
"value": 4000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "5e5a85ba1e1159ed26a662adc3a08468fa9455376d04e199f0b373d0ffd10bba",
"outputTransactionId": "bfc5e64ca2fd277ebe92b7704585f00fbca6fe2be8789df803588b64a44723a5",
"outputIndex": 0,
"outputGlobalIndex": 47918664,
"outputCreatedAt": 1526888,
"outputSettledAt": 1526890,
"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(31,-98,26,100,6,67,-106,-87,75,-91,45,4,-16,37,92,17,41,69,105,11,-109,-1,-111,43,-65,82,37,19,76,64,59,68)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(-112,85,-100,-30,-24,122,72,-118,-61,114,-91,81,70,6,-30,-53,60,34,-89,-102,50,-56,-25,-58,-26,-33,96,-50,17,91,-7,-94)\n22: 0\n23: 0\n24: -1\n25: Coll(-54,40,-7,-83,13,123,5,-66,110,-114,50,-112,122,68,107,-118,69,-74,84,-108,-2,-64,-35,-11,5,115,40,-127,42,9,-52,90)\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": "0b3231a6740c91ffdb95a1a2b35ea3e9df1cb6ba1803ad6543c043a1743914f1",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a5ca2176dc2644aef33bf9add1a5ad0267bf2d462c125b3521ddf3168bf9cf43",
"index": 1,
"amount": 9000000000000000,
"name": "Lend Token QUACKS-2.0",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "b9bcae9776a21b2abfde68498135c869fae3a7f90819a0bd87934404caa1c5eb",
"index": 2,
"amount": 9000000000000000,
"name": "Borrow Token QUACKS-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 12000012,
"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": "f23e5648cddfd342694a80c96572e05d8d44b45ce0ec22a97f59c3cf4841d61f",
"value": 225000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "a720393f418de817023acfb157e26ec9dfb3d413e74672b3e6df5707083598bd",
"outputTransactionId": "a67aa583be90993ac1bc7962db7b9a0340ec698caaa94f13a1186c2561d8c7c0",
"outputIndex": 0,
"outputGlobalIndex": 47920162,
"outputCreatedAt": 1526974,
"outputSettledAt": 1526976,
"ergoTree": "100201010415d1ed730091a37301",
"ergoTreeConstants": "0: true\n1: -11",
"ergoTreeScript": "{sigmaProp(placeholder[Boolean](0) && (HEIGHT > placeholder[Int](1)))}",
"address": "ZX4bTHCJW2Kp6Fj4W75KWka2m",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "0496b3ba01",
"sigmaType": "SInt",
"renderedValue": "1526987"
},
"R8": {
"serializedValue": "0e208716c3846fa34a0f1e452794b826ccde423695b1230e7e3230dd22602b2c2218",
"sigmaType": "Coll[SByte]",
"renderedValue": "8716c3846fa34a0f1e452794b826ccde423695b1230e7e3230dd22602b2c2218"
},
"R7": {
"serializedValue": "110280dac40980dac409",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000000,10000000]"
},
"R9": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
},
{
"boxId": "caf2bbbf77380fc5f510089d8de640c1777254be0d74152e5706b5446e87bde2",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "ed601601e9e968efff93239a9ad50beec5c8347a4f768fb6bdd98fe0c92bf5d9",
"outputTransactionId": "0891ae785157da0568637ac6ce31bd13a1585dfda15d456b8e3ad3b27ebf9796",
"outputIndex": 2,
"outputGlobalIndex": 47918029,
"outputCreatedAt": 1526851,
"outputSettledAt": 1526853,
"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(2)\n12: CBigInt(100)\n13: CBigInt(1000)\n14: CBigInt(0)\n15: 0\n16: 2\n17: 5000000\n18: 1\n19: 2\n20: 1\n21: 3\n22: 30\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: true\n29: 0\n30: 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 = CONTEXT.dataInputs\n val coll4 = box1.R9[Coll[Int]].get\n val i5 = coll4(placeholder[Int](4))\n val box6 = coll3(i5)\n val coll7 = box6.tokens\n val i8 = coll4(placeholder[Int](5))\n val box9 = if (i8 > placeholder[Int](6)) { OUTPUTS(i8 - placeholder[Int](7)) } else { INPUTS(i8 * placeholder[Int](8) - placeholder[Int](9)) }\n val coll10 = coll3.slice(i5 + placeholder[Int](10), coll3.size)\n val coll11 = box1.R7[Coll[Long]].get\n val bi12 = placeholder[BigInt](11)\n val bi13 = placeholder[BigInt](12)\n val bi14 = placeholder[BigInt](13)\n val bi15 = box9.value.toBigInt + coll10.zip(coll11).fold(placeholder[BigInt](14), {(tuple15: (BigInt, (Box, Long))) =>\n val tuple17 = tuple15._2\n val l18 = tuple17._2\n val box19 = tuple17._1\n val bi20 = tuple15._1\n if (l18 > placeholder[Long](15)) {(\n val bi21 = l18.toBigInt\n val bi22 = box19.R4[Int].get.toBigInt\n val bi23 = box19.tokens(placeholder[Int](16))._2.toBigInt\n bi20 + box19.value.toBigInt * bi21 * bi22 / bi23 + bi23 * bi12 / bi13 * bi14 + bi21 * bi22\n )} else { bi20 }\n }) - placeholder[Int](17).toBigInt\n val bi16 = box6.R4[Int].get.toBigInt\n val bi17 = box6.value.toBigInt\n val coll18 = box1.R4[Coll[Long]].get\n val coll19 = box9.tokens\n val i20 = coll19.size\n val coll21 = box1.R8[Coll[Coll[Byte]]].get\n val coll22 = coll2.slice(placeholder[Int](18), coll2.size)\n val i23 = coll10.size\n val i24 = coll11.size\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box1.propositionBytes == SELF.propositionBytes) && (\n (coll2 == SELF.R5[Coll[Coll[Byte]]].get) && (box1.R6[Coll[Long]].get == SELF.R6[Coll[Long]].get)\n )\n ) && (\n coll7(placeholder[Int](19))._2.toBigInt * bi15 * bi16 / bi17 + bi17 * bi12 / bi13 * bi14 + bi15 * bi16 == coll18(\n placeholder[Int](20)\n ).toBigInt\n )\n ) && (coll18(placeholder[Int](21)) == placeholder[Long](22))\n ) && coll19.slice(placeholder[Int](23), i20).forall(\n {(tuple25: (Coll[Byte], Long)) => coll21.zip(coll11).exists({(tuple27: (Coll[Byte], Long)) => tuple27 == tuple25 }) }\n )\n ) && coll22.indices.forall({(i25: Int) =>\n val coll27 = coll10(i25).tokens\n (coll22(i25) == coll27(placeholder[Int](24))._1) && (coll21(i25) == coll27(placeholder[Int](25))._1)\n })\n ) && ((i23 == i24) && (i23 == coll22.size))\n ) && (i24 == coll21.size)\n ) && (coll11.filter({(l25: Long) => l25 == placeholder[Long](26) }).size == i24 - i20 - placeholder[Int](27))\n ) && placeholder[Boolean](28)\n ) && (coll7(placeholder[Int](29))._1 == coll2(placeholder[Int](30)))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "8716c3846fa34a0f1e452794b826ccde423695b1230e7e3230dd22602b2c2218",
"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": "10020202",
"sigmaType": "Coll[SInt]",
"renderedValue": "[1,1]"
},
"R4": {
"serializedValue": "11048080b4ccd4dfc603a0ace014c4133c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000000000000000,21760784,1250,30]"
}
}
}
],
"dataInputs": [
{
"boxId": "eeeb54cbd3108cd44acd221f0029ee2a1f4b351c9a9916d059e6caafe46823cf",
"value": 1000000,
"index": 0,
"outputBlockId": "044692273075ea72e1546205d0cf036cdd3af70beee2cce33a5b61279fd7ddab",
"outputTransactionId": "26ba6c60c4d0d77c2d3ed14ecc8be722002202ef8f78fbb369ac592b74d019a5",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0596afba01",
"sigmaType": "SLong",
"renderedValue": "1526731"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
},
{
"boxId": "64b9af31b9cd4ac5f7cac7f4ceaaa9b04625a059c4923eea9e3e4720e4deae14",
"value": 1000000,
"index": 1,
"outputBlockId": "044692273075ea72e1546205d0cf036cdd3af70beee2cce33a5b61279fd7ddab",
"outputTransactionId": "710556afbc952e67b1df39456eff9998f181e81e33d77fdea954b66ba5665648",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
"address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01208716c3846fa34a0f1e452794b826ccde423695b1230e7e3230dd22602b2c2218",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8716c3846fa34a0f1e452794b826ccde423695b1230e7e3230dd22602b2c2218]"
},
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "1106a01f80b518c0029003f40302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000,200000,160,200,250,1]"
}
}
},
{
"boxId": "655e814877276b7dbaabb9a3b65fc42b9b739b4303bec079443bd59de875e20e",
"value": 17121689270835,
"index": 2,
"outputBlockId": "1dc42e2b1558911657077cb1f78019c1dea2b428d52a250738d6b92f0861d656",
"outputTransactionId": "9eec9306d81a95acfd3131adc338b71f8b3b93d6437a4910cbaf8527968a2a9c",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
}
],
"outputs": [
{
"boxId": "26702845b277a2bdf75da7eb35281c96b791fa81c8140d70f4ace491a7901266",
"transactionId": "738e6d4ddbe96f570a967e102b2a7e897a1cb436eee691d0018c7ebdaa86c0ba",
"blockId": "00e1be7fa71ed15d3f82ea44109ddd1b86b833d14c135fda91585f5a3cbd44c7",
"value": 4000000,
"index": 0,
"globalIndex": 47920275,
"creationHeight": 1526977,
"settlementHeight": 1526979,
"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(31,-98,26,100,6,67,-106,-87,75,-91,45,4,-16,37,92,17,41,69,105,11,-109,-1,-111,43,-65,82,37,19,76,64,59,68)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(-112,85,-100,-30,-24,122,72,-118,-61,114,-91,81,70,6,-30,-53,60,34,-89,-102,50,-56,-25,-58,-26,-33,96,-50,17,91,-7,-94)\n22: 0\n23: 0\n24: -1\n25: Coll(-54,40,-7,-83,13,123,5,-66,110,-114,50,-112,122,68,107,-118,69,-74,84,-108,-2,-64,-35,-11,5,115,40,-127,42,9,-52,90)\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": "0b3231a6740c91ffdb95a1a2b35ea3e9df1cb6ba1803ad6543c043a1743914f1",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a5ca2176dc2644aef33bf9add1a5ad0267bf2d462c125b3521ddf3168bf9cf43",
"index": 1,
"amount": 9000000000000000,
"name": "Lend Token QUACKS-2.0",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "b9bcae9776a21b2abfde68498135c869fae3a7f90819a0bd87934404caa1c5eb",
"index": 2,
"amount": 8999999990000000,
"name": "Borrow Token QUACKS-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 2000012,
"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": "dd9caefe9138c565ad093d4439c16b5832fe767a5c7af48d4824087570b8939c",
"transactionId": "738e6d4ddbe96f570a967e102b2a7e897a1cb436eee691d0018c7ebdaa86c0ba",
"blockId": "00e1be7fa71ed15d3f82ea44109ddd1b86b833d14c135fda91585f5a3cbd44c7",
"value": 223000000,
"index": 1,
"globalIndex": 47920276,
"creationHeight": 1526977,
"settlementHeight": 1526979,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-68,86,-42,-68,47,57,-50,-50,15,74,-14,-103,9,-101,-108,-27,54,-38,25,99,77,-91,40,113,-105,-88,83,3,-5,-114,-22,-28)\n3: 0\n4: CBigInt(10000000000000000)\n5: 0\n6: 0\n7: Coll(31,-98,26,100,6,67,-106,-87,75,-91,45,4,-16,37,92,17,41,69,105,11,-109,-1,-111,43,-65,82,37,19,76,64,59,68)\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": "b9bcae9776a21b2abfde68498135c869fae3a7f90819a0bd87934404caa1c5eb",
"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": "0e208716c3846fa34a0f1e452794b826ccde423695b1230e7e3230dd22602b2c2218",
"sigmaType": "Coll[SByte]",
"renderedValue": "8716c3846fa34a0f1e452794b826ccde423695b1230e7e3230dd22602b2c2218"
},
"R9": {
"serializedValue": "1102b0163c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1432,30]"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
},
"spentTransactionId": "da62825197430e303dffa3f18f022ab6ebb038ccbdabeb95052a997b23af22db",
"mainChain": true
},
{
"boxId": "ad0da0a2ad26f29051adbf9081f5a593b700b7f1fa01120052314eb549821a99",
"transactionId": "738e6d4ddbe96f570a967e102b2a7e897a1cb436eee691d0018c7ebdaa86c0ba",
"blockId": "00e1be7fa71ed15d3f82ea44109ddd1b86b833d14c135fda91585f5a3cbd44c7",
"value": 1000000,
"index": 2,
"globalIndex": 47920277,
"creationHeight": 1526977,
"settlementHeight": 1526979,
"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": "0e20f23e5648cddfd342694a80c96572e05d8d44b45ce0ec22a97f59c3cf4841d61f",
"sigmaType": "Coll[SByte]",
"renderedValue": "f23e5648cddfd342694a80c96572e05d8d44b45ce0ec22a97f59c3cf4841d61f"
}
},
"spentTransactionId": "a1bb002a438fb7df505792d3f13569f39a9aa8f1f695eda45def9d504b9dc542",
"mainChain": true
},
{
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"transactionId": "738e6d4ddbe96f570a967e102b2a7e897a1cb436eee691d0018c7ebdaa86c0ba",
"blockId": "00e1be7fa71ed15d3f82ea44109ddd1b86b833d14c135fda91585f5a3cbd44c7",
"value": 1000000,
"index": 3,
"globalIndex": 47920278,
"creationHeight": 1526977,
"settlementHeight": 1526979,
"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(2)\n12: CBigInt(100)\n13: CBigInt(1000)\n14: CBigInt(0)\n15: 0\n16: 2\n17: 5000000\n18: 1\n19: 2\n20: 1\n21: 3\n22: 30\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: true\n29: 0\n30: 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 = CONTEXT.dataInputs\n val coll4 = box1.R9[Coll[Int]].get\n val i5 = coll4(placeholder[Int](4))\n val box6 = coll3(i5)\n val coll7 = box6.tokens\n val i8 = coll4(placeholder[Int](5))\n val box9 = if (i8 > placeholder[Int](6)) { OUTPUTS(i8 - placeholder[Int](7)) } else { INPUTS(i8 * placeholder[Int](8) - placeholder[Int](9)) }\n val coll10 = coll3.slice(i5 + placeholder[Int](10), coll3.size)\n val coll11 = box1.R7[Coll[Long]].get\n val bi12 = placeholder[BigInt](11)\n val bi13 = placeholder[BigInt](12)\n val bi14 = placeholder[BigInt](13)\n val bi15 = box9.value.toBigInt + coll10.zip(coll11).fold(placeholder[BigInt](14), {(tuple15: (BigInt, (Box, Long))) =>\n val tuple17 = tuple15._2\n val l18 = tuple17._2\n val box19 = tuple17._1\n val bi20 = tuple15._1\n if (l18 > placeholder[Long](15)) {(\n val bi21 = l18.toBigInt\n val bi22 = box19.R4[Int].get.toBigInt\n val bi23 = box19.tokens(placeholder[Int](16))._2.toBigInt\n bi20 + box19.value.toBigInt * bi21 * bi22 / bi23 + bi23 * bi12 / bi13 * bi14 + bi21 * bi22\n )} else { bi20 }\n }) - placeholder[Int](17).toBigInt\n val bi16 = box6.R4[Int].get.toBigInt\n val bi17 = box6.value.toBigInt\n val coll18 = box1.R4[Coll[Long]].get\n val coll19 = box9.tokens\n val i20 = coll19.size\n val coll21 = box1.R8[Coll[Coll[Byte]]].get\n val coll22 = coll2.slice(placeholder[Int](18), coll2.size)\n val i23 = coll10.size\n val i24 = coll11.size\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box1.propositionBytes == SELF.propositionBytes) && (\n (coll2 == SELF.R5[Coll[Coll[Byte]]].get) && (box1.R6[Coll[Long]].get == SELF.R6[Coll[Long]].get)\n )\n ) && (\n coll7(placeholder[Int](19))._2.toBigInt * bi15 * bi16 / bi17 + bi17 * bi12 / bi13 * bi14 + bi15 * bi16 == coll18(\n placeholder[Int](20)\n ).toBigInt\n )\n ) && (coll18(placeholder[Int](21)) == placeholder[Long](22))\n ) && coll19.slice(placeholder[Int](23), i20).forall(\n {(tuple25: (Coll[Byte], Long)) => coll21.zip(coll11).exists({(tuple27: (Coll[Byte], Long)) => tuple27 == tuple25 }) }\n )\n ) && coll22.indices.forall({(i25: Int) =>\n val coll27 = coll10(i25).tokens\n (coll22(i25) == coll27(placeholder[Int](24))._1) && (coll21(i25) == coll27(placeholder[Int](25))._1)\n })\n ) && ((i23 == i24) && (i23 == coll22.size))\n ) && (i24 == coll21.size)\n ) && (coll11.filter({(l25: Long) => l25 == placeholder[Long](26) }).size == i24 - i20 - placeholder[Int](27))\n ) && placeholder[Boolean](28)\n ) && (coll7(placeholder[Int](29))._1 == coll2(placeholder[Int](30)))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "8716c3846fa34a0f1e452794b826ccde423695b1230e7e3230dd22602b2c2218",
"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": "11048080b4ccd4dfc603eee1b910b0163c",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000000000000000,17250423,1432,30]"
}
},
"spentTransactionId": "da62825197430e303dffa3f18f022ab6ebb038ccbdabeb95052a997b23af22db",
"mainChain": true
},
{
"boxId": "560ba309df1ba91b084d0952877729dad278b8a723edaaa2a65979513ab38fe0",
"transactionId": "738e6d4ddbe96f570a967e102b2a7e897a1cb436eee691d0018c7ebdaa86c0ba",
"blockId": "00e1be7fa71ed15d3f82ea44109ddd1b86b833d14c135fda91585f5a3cbd44c7",
"value": 1000000,
"index": 4,
"globalIndex": 47920279,
"creationHeight": 1526977,
"settlementHeight": 1526979,
"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": "1f83f92c63ec72458effe6d88e10569cc428e4b99b4be792f3975fb4aa519899",
"mainChain": true
}
],
"size": 4200,
"isUnconfirmed": false
}