Transaction
ID: fbc4ff0cf0...175a
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.205 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.203 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
7
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: 98,977
Total coins transferred: 0.209 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000186 ERG
Raw Transaction Data
{
"id": "fbc4ff0cf007aa35e74f70e993b7dd8a1796f33860df60604b6c028246df175a",
"blockId": "15f63935f79e15a19517fb3bc3eb001dc37799997ed576a96d845ca2d9089462",
"inclusionHeight": 1672347,
"timestamp": 1765097607459,
"index": 1,
"globalIndex": 9925914,
"numConfirmations": 98977,
"inputs": [
{
"boxId": "7b551b11b0f3a8be6d9392eda105865369bc24de662d36a07ea90f7a39ad3b01",
"value": 3000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "e8e4482e5dcd6a189783d1c434d6d6711c84688035af81e18799856ed1199440",
"outputTransactionId": "e7adb05a5e515825dbf6871921017cf853cd7d755baf171edcd31a8f2e7a1f2a",
"outputIndex": 0,
"outputGlobalIndex": 52089784,
"outputCreatedAt": 1672340,
"outputSettledAt": 1672342,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: 2\n7: 2\n8: 3\n9: 3\n10: 1000000\n11: CBigInt(1000000000000000)\n12: 9000000000000000\n13: 0\n14: 0\n15: Coll(70,-110,-119,24,-65,0,35,-37,-48,-39,6,89,39,119,-8,-13,-76,2,-38,-70,19,-128,114,35,-33,-23,11,101,87,74,38,-54)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(-110,-66,-116,-40,72,-57,-51,-51,-30,-59,-75,125,-109,58,-114,55,-81,123,4,67,52,43,-113,7,-94,55,-63,69,86,25,22,-15)\n22: 0\n23: 0\n24: -1\n25: Coll(-47,18,122,24,86,68,124,-100,-113,87,-84,16,22,21,12,-127,-18,-104,79,-5,30,-34,-75,-126,-88,126,60,-57,108,47,-82,-18)\n26: 9000000000000010\n27: 9000000000000010\n28: 0\n29: 0\n30: 0\n31: 0\n32: 2\n33: 1\n34: 3\n35: 1000000\n36: 4\n37: 5\n38: false\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 6\n47: 2\n48: 4\n49: 0\n50: -1\n51: 100000000\n52: 1\n53: 1000\n54: 0\n55: 0\n56: 0\n57: 1\n58: 4000000\n59: 0\n60: 1\n61: 3\n62: 2\n63: 5\n64: 3\n65: 4\n66: 5\n67: 6\n68: 7\n69: 7\n70: 8\n71: 9\n72: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val box2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == coll1(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll3 = box2.tokens\n val tuple4 = coll3(placeholder[Int](4))\n val tuple5 = coll1(placeholder[Int](5))\n val tuple6 = coll3(placeholder[Int](6))\n val tuple7 = coll1(placeholder[Int](7))\n val coll8 = tuple7._1\n val tuple9 = coll3(placeholder[Int](8))\n val tuple10 = coll1(placeholder[Int](9))\n val coll11 = tuple10._1\n val bool12 = (\n (\n (\n (\n (\n (\n (\n (\n (((box2.propositionBytes == SELF.propositionBytes) && (tuple4._1 == tuple5._1)) && (tuple6._1 == coll8)) && (\n box2.value >= placeholder[Long](10)\n )\n ) && (tuple9._1 == coll11)\n ) && (coll3.size == coll1.size)\n ) && box2.R4[Boolean].get\n ) && box2.R5[Boolean].get\n ) && box2.R6[Boolean].get\n ) && box2.R7[Boolean].get\n ) && box2.R8[Boolean].get\n ) && box2.R9[Boolean].get\n val bi13 = placeholder[BigInt](11)\n val l14 = tuple9._2\n val l15 = tuple6._2\n val l16 = placeholder[Long](12) - l15\n val coll17 = CONTEXT.dataInputs\n val bi18 = coll17.filter({(box18: Box) =>\n val coll20 = box18.tokens\n (coll20.size > placeholder[Int](13)) && (coll20(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15))\n })(placeholder[Int](16)).R5[BigInt].get\n val bi19 = placeholder[BigInt](17)\n val bi20 = l16.toBigInt * bi18 / bi19\n val l21 = tuple10._2\n val l22 = tuple7._2\n val l23 = placeholder[Long](18) - l22\n val box24 = coll17.filter({(box24: Box) =>\n val coll26 = box24.tokens\n (coll26.size > placeholder[Int](19)) && (coll26(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n })(placeholder[Int](22))\n val coll25 = box24.R5[Coll[Byte]].get\n val coll26 = OUTPUTS.filter({(box26: Box) => box26.propositionBytes == coll25 })\n val coll27 = box24.R6[Coll[Long]].get\n val l28 = l14 - l21\n val bool29 = l28 > placeholder[Long](23)\n val l30 = if (bool29) { l28 } else { l28 * placeholder[Long](24) }\n val bool31 = tuple4 == tuple5\n val l32 = l16 - l23\n val coll33 = OUTPUTS.filter({(box33: Box) => blake2b256(box33.propositionBytes) == placeholder[Coll[Byte]](25) })\n sigmaProp(\n (\n (\n (\n (bool12 && (tuple6 == tuple7)) && (\n bi13 * l14.toBigInt + bi20 / placeholder[Long](26) - tuple4._2.toBigInt > bi13 * l21.toBigInt + l23.toBigInt * bi18 / bi19 / placeholder[Long](\n 27\n ) - tuple5._2.toBigInt\n )\n ) && if (coll26.size > placeholder[Int](28)) {(\n val box34 = coll26(placeholder[Int](29))\n val tuple35 = box34.tokens(placeholder[Int](30))\n val l36 = coll27(placeholder[Int](31))\n val l37 = coll27(placeholder[Int](32))\n val l38 = coll27(placeholder[Int](33))\n val l39 = coll27(placeholder[Int](34))\n ((box34.propositionBytes == coll25) && (box34.value >= placeholder[Long](35))) && (\n (\n tuple35._2 >= max(\n if (l30 <= l36) { l30 / l37 } else {\n if (l30 <= l38) { l30 - l36 / l39 + l36 / l37 } else { l30 - l38 - l36 / coll27(placeholder[Int](36)) + l38 / l39 + l36 / l37 }\n }, coll27(placeholder[Int](37))\n )\n ) && (tuple35._1 == coll11)\n )\n )} else { placeholder[Boolean](38) }\n ) || (((bool12 && bool31) && bool29) && (l32 < placeholder[Long](39)))\n ) || if (coll33.size > placeholder[Int](40)) {(\n val box34 = coll33(placeholder[Int](41))\n val tuple35 = box34.tokens(placeholder[Int](42))\n val l36 = tuple35._2\n val bi37 = l36.toBigInt * bi18 / bi19\n val box38 = OUTPUTS.filter({(box38: Box) =>\n val coll40 = box38.tokens\n (coll40.size > placeholder[Int](43)) && box24.R4[Coll[Coll[Byte]]].get.exists({(coll41: Coll[Byte]) => (coll40(placeholder[Int](44))._1 == coll41) && (coll41 == box34.R7[Coll[Byte]].get) })\n })(placeholder[Int](45))\n val coll39 = box38.R4[Coll[Long]].get\n val l40 = coll39(placeholder[Int](46))\n val l41 = coll39(placeholder[Int](47))\n val l42 = box34.value\n val l43 = coll39(placeholder[Int](48))\n val coll44 = box34.R9[Coll[Long]].get\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((bool12 && bool31) && (l36 + l15 == l22)) && (l28 < placeholder[Long](49))) && (\n (l28 * placeholder[Long](50).toBigInt == bi37) && (bi37 >= l40.toBigInt)\n )\n ) && (l32 == l36)\n ) && (tuple35._1 == coll8)\n ) && (box34.R6[Long].get == placeholder[Long](51))\n ) && (coll39(placeholder[Int](52)).toBigInt >= bi37 * l41.toBigInt / placeholder[Int](53).toBigInt)\n ) && (bi20 < coll39(placeholder[Int](54)).toBigInt)\n ) && (\n OUTPUTS.map({(box45: Box) => box45.id }).indexOf(box34.id, placeholder[Int](55)) == box38.R9[Coll[Int]].get(placeholder[Int](56)) - placeholder[\n Int\n ](57)\n )\n ) && ((l42 > placeholder[Long](58)) && (l42 >= l43))\n ) && (\n (\n (\n (\n (\n (\n ((coll44(placeholder[Int](59)) == l41) && (coll44(placeholder[Int](60)) == coll39(placeholder[Int](61)))) && (\n coll44(placeholder[Int](62)) == coll39(placeholder[Int](63))\n )\n ) && (coll44(placeholder[Int](64)) == l43)\n ) && (coll44(placeholder[Int](65)) == l40)\n ) && (coll44(placeholder[Int](66)) >= HEIGHT.toLong)\n ) && (coll44(placeholder[Int](67)) == coll39(placeholder[Int](68)))\n ) && (coll44(placeholder[Int](69)) == coll39(placeholder[Int](70)))\n )\n ) && (bi37 <= coll39(placeholder[Int](71)).toBigInt)\n )} else { placeholder[Boolean](72) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "32677ed3e39e825d1225cdd39c109b344193a6876794d98eae411746c661565c",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6a78927332833e1cc974dc3023802307214bff20fe187ba21bf2118e67a95a10",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "5111745356473bad65df3cd53dcbafb0fa76b770a9982a923e3894333bacf642",
"index": 2,
"amount": 9000000000000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 12350012,
"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": "e2e8e8a8d93d414c218e968e8edd4806b956ecbd361ffcf2c634a51b67eb134d",
"value": 205000000,
"index": 1,
"spendingProof": "390e20080185bec3d524c8873fc3d52bc0128324b61ea4b7886e3c22fda628ff0d6fe26fafcdb966864e201d376b23d5e7f7c31b2c8adaee",
"outputBlockId": "0f037e36f099b9b05bc0402e4eb87f501f65330cebd772fe91f308b36408b330",
"outputTransactionId": "178d421524f0ef2030b1ff4daa1712be75535a194ec31359cd18f852d4b3a504",
"outputIndex": 0,
"outputGlobalIndex": 52089852,
"outputCreatedAt": 1672340,
"outputSettledAt": 1672345,
"ergoTree": "100208cd03199bd9865508d9e9c998e828d8313cb1bf83d43ac79c467d33f8d1223fde382c04878d1bea027300d191a37301",
"ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(199bd9,a14ea8,...)))\n1: -222020",
"ergoTreeScript": "{placeholder[SigmaProp](0) && sigmaProp(HEIGHT > placeholder[Int](1))}",
"address": "26DFznnsFVBgMJVSDq7oiS4HA1WZF8qT88jKcygK3eYfCrC9udi8DhAty4DqS5SW3TKh9onTjmv",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "110680bfd60680bfd606b6163c108087a70e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[7000000,7000000,1435,30,8,15000000]"
},
"R6": {
"serializedValue": "04c292cc01",
"sigmaType": "SInt",
"renderedValue": "1672353"
},
"R8": {
"serializedValue": "0e20d82a3ad5af62a4c4fa2f142dac14024151f1a4a2ad134c8e3d1313b3be8d75c3",
"sigmaType": "Coll[SByte]",
"renderedValue": "d82a3ad5af62a4c4fa2f142dac14024151f1a4a2ad134c8e3d1313b3be8d75c3"
},
"R7": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R9": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
},
{
"boxId": "dc09d880f81fe8a446342873dd73ea161538a633bea87f508931af021391e69f",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "a7c70ab6eef2343670092c7f443e55a62c206bd06fe5e2919a4d31e85bd71a7d",
"outputTransactionId": "d155e9f8e61f869317597fd9e4ecabe690e0d9f6f807813032e263a204636de1",
"outputIndex": 3,
"outputGlobalIndex": 52088831,
"outputCreatedAt": 1672317,
"outputSettledAt": 1672318,
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"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val box2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll3 = box2.propositionBytes\n val coll4 = box2.R4[Coll[Long]].get\n val l5 = coll4(placeholder[Int](4))\n val coll6 = SELF.R4[Coll[Long]].get\n val l7 = coll6(placeholder[Int](5))\n val l8 = coll4(placeholder[Int](6))\n val l9 = coll6(placeholder[Int](7))\n val l10 = coll4(placeholder[Int](8))\n val l11 = coll6(placeholder[Int](9))\n val l12 = coll4(placeholder[Int](10))\n val l13 = coll6(placeholder[Int](11))\n val l14 = coll4(placeholder[Int](12))\n val l15 = coll6(placeholder[Int](13))\n val l16 = coll4(placeholder[Int](14))\n val coll17 = SELF.R5[Coll[Coll[Byte]]].get\n val coll18 = box2.R5[Coll[Coll[Byte]]].get\n val coll19 = SELF.R6[Coll[Long]].get\n val coll20 = box2.R6[Coll[Long]].get\n val coll21 = CONTEXT.dataInputs\n val coll22 = box2.R9[Coll[Int]].get\n val i23 = coll22(placeholder[Int](15))\n val box24 = coll21(i23)\n val coll25 = box24.tokens\n val i26 = coll22(placeholder[Int](16))\n val box27 = if (i26 > placeholder[Int](17)) { OUTPUTS(i26 - placeholder[Int](18)) } else { INPUTS(i26 * placeholder[Int](19) - placeholder[Int](20)) }\n val bi28 = box27.value.toBigInt\n val coll29 = coll21.slice(i23 + placeholder[Int](21), coll21.size)\n val coll30 = box2.R7[Coll[Long]].get\n val bi31 = placeholder[BigInt](22)\n val bi32 = placeholder[BigInt](23)\n val bi33 = placeholder[BigInt](24)\n val bi34 = placeholder[BigInt](25)\n val bi35 = bi28 + coll29.zip(coll30).fold(bi31, {(tuple35: (BigInt, (Box, Long))) =>\n val tuple37 = tuple35._2\n val l38 = tuple37._2\n val box39 = tuple37._1\n val bi40 = tuple35._1\n if (l38 > placeholder[Long](26)) {(\n val bi41 = l38.toBigInt\n val bi42 = box39.R4[Int].get.toBigInt\n val bi43 = box39.tokens(placeholder[Int](27))._2.toBigInt\n bi40 + box39.value.toBigInt * bi41 * bi42 / bi43 + bi43 * bi32 / bi33 * bi34 + bi41 * bi42\n )} else { bi40 }\n }) - placeholder[Int](28).toBigInt\n val bi36 = box24.R4[Int].get.toBigInt\n val bi37 = box24.value.toBigInt\n val l38 = placeholder[Long](29)\n val coll39 = box27.tokens\n val i40 = coll39.size\n val coll41 = box2.R8[Coll[Coll[Byte]]].get\n val coll42 = coll18.slice(placeholder[Int](30), coll18.size)\n val i43 = coll29.size\n val i44 = coll30.size\n sigmaProp(\n (\n (\n (\n (\n (\n (((((coll1 == coll3) && (SELF.value == box2.value)) && (SELF.tokens == box2.tokens)) && (l5 == placeholder[Long](31))) && (l7 == l8)) && (\n l9 == l10\n )\n ) && (l11 == l12)\n ) && (l13 == l14)\n ) && (l15 == l16)\n ) && (coll17 == coll18)\n ) && (coll19 == coll20)\n ) && placeholder[SigmaProp](32) || sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((coll3 == coll1) && ((coll18 == coll17) && (coll20 == coll19))) && (\n coll25(placeholder[Int](33))._2.toBigInt * bi35 * bi36 / bi37 + bi37 * bi32 / bi33 * bi34 + bi35 * bi36 == coll4(\n placeholder[Int](34)\n ).toBigInt\n )\n ) && (max(min(coll4(placeholder[Int](35)), placeholder[Long](36)), placeholder[Long](37)) == placeholder[Long](38))\n ) && (bi28 * l38.toBigInt * coll20(placeholder[Int](39)).toBigInt / bi35 + coll30.indices.fold(bi31, {(tuple45: (BigInt, Int)) =>\n val i47 = tuple45._2\n val l48 = coll30(i47)\n val bi49 = tuple45._1\n if (l48 > placeholder[Long](40)) {(\n val box50 = coll29(i47)\n val bi51 = l48.toBigInt\n val bi52 = box50.R4[Int].get.toBigInt\n val bi53 = box50.tokens(placeholder[Int](41))._2.toBigInt\n bi49 + box50.value.toBigInt * bi51 * bi52 / bi53 + bi53 * bi32 / bi33 * bi34 + bi51 * bi52 * l38.toBigInt * coll20.slice(placeholder[Int](42), coll20.size)(i47).toBigInt / bi35\n )} else { bi49 }\n }) / l38.toBigInt == max(coll4(placeholder[Int](43)), placeholder[Long](44)).toBigInt)\n ) && coll39.slice(placeholder[Int](45), i40).forall(\n {(tuple45: (Coll[Byte], Long)) => coll41.zip(coll30).exists({(tuple47: (Coll[Byte], Long)) => tuple47 == tuple45 }) }\n )\n ) && coll42.indices.forall({(i45: Int) =>\n val coll47 = coll29(i45).tokens\n (coll42(i45) == coll47(placeholder[Int](46))._1) && (coll41(i45) == coll47(placeholder[Int](47))._1)\n })\n ) && ((i43 == i44) && (i43 == coll42.size))\n ) && (i44 == coll41.size)\n ) && (coll30.filter({(l45: Long) => l45 == placeholder[Long](48) }).size == i44 - i40 - placeholder[Int](49))\n ) && (coll6(placeholder[Int](50)) == max(l5, placeholder[Long](51)))\n ) && (l7 == max(l8, placeholder[Long](52)))\n ) && (l9 == max(l10, placeholder[Long](53)))\n ) && (l11 == max(l12, placeholder[Long](54)))\n ) && (l15 == max(min(l16, placeholder[Long](55)), placeholder[Long](56)))\n ) && (l13 == max(l14, placeholder[Long](57)))\n ) && (coll6(placeholder[Int](58)) == max(coll4(placeholder[Int](59)), placeholder[Long](60)))\n ) && (coll25(placeholder[Int](61))._1 == coll18(placeholder[Int](62)))\n )\n}",
"address": "2GHGXUgJzMYF4HN31PTotrY2azq2t1ueHJABDHu7qYmYHesuDwXARy5xG2FXoSL7Cqk6Cw9rsRtPHb7KTkv9w91ADPrwgz4LfevwpkPLHb5ajsMZsTxyor7PLiL8aHXj1igzrLo4J25njxxepzvaGRbNayLWir9YcHCd3JCo13BLfg7AM1kpU6rc2G45wPZw3geEGxYkQzhMr6qtKmCxuwUqbGmosYAcpSzBa2AmsUBsDTVaEkcZD5CKK95cLoWpbPAakGt1sspx5QeLyfBUguiaLnLNPMbtvVGyfTgG6tMFh7aG5EXP1wQBFBSwLCwEecQNQVQaVBkrQzhHNyUnmcehopGB54JMMfGQDvGMmLjQzLtnTcpVGVV1T3tbyHY5ifGTxcQ1KTDRWoGSr2nn1F2dHAoUbeN3YSffEvaF6kLKsaW1oYCDWzfRPsnD9AwgAiL2YyCxbQbmsF3N8DCgaUoBnRKLuUzGcdDooZH5gTV7JN68i9xjEkFAGmiFYVHSYdgxGgrDuH8rhhJMyJJn9ypU7R8wgEG5C1s3rXcCtpWypZr2XL4swMi9GkNgvLYKF47jEw9DprQLa9d1JVgUfNijbr6hQdbcmbEvcBL4QWTRfp7ifvConoNLCahLZhM6DMfmDgpMEYbxshRbUpX3pHXkLUctNbHZfyQVrcNMFUbDqPYbVhrjDyKYMYzFpLYjRo6StdSajfY86ZXQtZvCC9PsZZuhmnQrXmZd9RzJriQpFB5qweMm8McXep9Lnmf1FezNSVDwpRJve213Gz3Xm7psLCnCLWHqWcwyHGNGGwSPEZ83KrEpZyyxX9bALUN7icRTK9pNsCSPSs4qjreYgLgu6EjaoL3HazWSFKYf6k5cJuDfDpWZen198X1y7snBcG2piTBYTsKxhgbyPHpNgcE4vhgQ7Uw2so13ekYHMdcjtSkNRYyxDJCLQqzn5M34dXvtosoqGgKveGjYVa9qqW5TzQgpyVtwGCVfsXnYu4hvLjc5PX2NG9dmVaTH8yMTt7RgHeiGzRzhsEhRXynMcH1nrSRj2sW9pK9mgefmp6TPXiFSPAQgBib9zbBuCYJaW1iLvwnFU8kT9K379ek8DJkGXqfq32kRaH6WkW1NMpRSxnCSgPRcADajvv1uJZKkqBQkrHEZrg3ASKL9WM4LwpCy2VHzeEikuGmFmbqHRSUEo5uUXRCmaPzghThLNo6CVXXpGRRFCUebX2DeBkCAQ6fcVJ3Kyt6JLmpWsZieMvf3ybZgju3oBfquSYcnRFkcBgdiMV74MGi2QJzqi3bNRU24HkZztM4YHCfSNvMpmSLjJn6Q1ZCobkYNjxtLFqcy8nrrDYPAdvcKBFG9MUWRk5Ha9Bn1p9ZoMUuNtUTcKQfhWb7SdHFoi2Dc6roqraRGhWuHcgoYCXZAs6vALTHmcJGDfN7KVRM4wVi93mrHz4vrrmPEuaF29kFfhZrqW119f1pVtnjAS9siNtRtXM2u587h1g7jpgbz2ay88oQLmU4QFRueXBYRZHiLbNoz7wNYqSTkxMTAtKLd4HAscLMyeLU3unyuVC3bvBAzWozYE4Toci1eNGFJJrvoNVg2Nu1ebC8k3EpBXZWRDvriNWuNLf97PhUKPcF8mktU5qzqTPAs6E7GNqbQGpXisVQ8CWs5y5c1Aw7PUgnukMxjoERuaxvvwpV8z4aL",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
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"sigmaType": "Coll[Coll[SByte]]",
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},
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"sigmaType": "Coll[Coll[SByte]]",
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},
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"sigmaType": "Coll[SLong]",
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},
"R9": {
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"sigmaType": "Coll[SInt]",
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},
"R4": {
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}
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}
],
"dataInputs": [
{
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"ergoTree": "1999030f0400040204020404040405feffffffffffffffff0105feffffffffffffffff01050004d00f040004000406050005000580dac409d819d601b2a5730000d602e4c6a70404d603db63087201d604db6308a7d605b27203730100d606b27204730200d607b27203730300d608b27204730400d6099973058c720602d60a999973068c7205027209d60bc17201d60cc1a7d60d99720b720cd60e91720d7307d60f8c720802d6107e720f06d6117e720d06d612998c720702720fd6137e720c06d6147308d6157e721206d6167e720a06d6177e720906d6189c72117217d6199c72157217d1ededededededed93c27201c2a793e4c672010404720293b27203730900b27204730a00938c7205018c720601938c7207018c72080193b17203730b9593720a730c95720e929c9c721072117e7202069c7ef07212069a9c72137e7214067e9c720d7e72020506929c9c721372157e7202069c7ef0720d069a9c72107e7214067e9c72127e7202050695ed720e917212730d907216a19d721872139d72197210ed9272189c721672139272199c7216721091720b730e",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
}
],
"outputs": [
{
"boxId": "8dea7e9dec1e08642e7dde15ea737eac1909f4c2038d1eb946b1587cb7f1080b",
"transactionId": "fbc4ff0cf007aa35e74f70e993b7dd8a1796f33860df60604b6c028246df175a",
"blockId": "15f63935f79e15a19517fb3bc3eb001dc37799997ed576a96d845ca2d9089462",
"value": 3000000,
"index": 0,
"globalIndex": 52089920,
"creationHeight": 1672345,
"settlementHeight": 1672347,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: 2\n7: 2\n8: 3\n9: 3\n10: 1000000\n11: CBigInt(1000000000000000)\n12: 9000000000000000\n13: 0\n14: 0\n15: Coll(70,-110,-119,24,-65,0,35,-37,-48,-39,6,89,39,119,-8,-13,-76,2,-38,-70,19,-128,114,35,-33,-23,11,101,87,74,38,-54)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(-110,-66,-116,-40,72,-57,-51,-51,-30,-59,-75,125,-109,58,-114,55,-81,123,4,67,52,43,-113,7,-94,55,-63,69,86,25,22,-15)\n22: 0\n23: 0\n24: -1\n25: Coll(-47,18,122,24,86,68,124,-100,-113,87,-84,16,22,21,12,-127,-18,-104,79,-5,30,-34,-75,-126,-88,126,60,-57,108,47,-82,-18)\n26: 9000000000000010\n27: 9000000000000010\n28: 0\n29: 0\n30: 0\n31: 0\n32: 2\n33: 1\n34: 3\n35: 1000000\n36: 4\n37: 5\n38: false\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 6\n47: 2\n48: 4\n49: 0\n50: -1\n51: 100000000\n52: 1\n53: 1000\n54: 0\n55: 0\n56: 0\n57: 1\n58: 4000000\n59: 0\n60: 1\n61: 3\n62: 2\n63: 5\n64: 3\n65: 4\n66: 5\n67: 6\n68: 7\n69: 7\n70: 8\n71: 9\n72: false",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val box2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == coll1(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll3 = box2.tokens\n val tuple4 = coll3(placeholder[Int](4))\n val tuple5 = coll1(placeholder[Int](5))\n val tuple6 = coll3(placeholder[Int](6))\n val tuple7 = coll1(placeholder[Int](7))\n val coll8 = tuple7._1\n val tuple9 = coll3(placeholder[Int](8))\n val tuple10 = coll1(placeholder[Int](9))\n val coll11 = tuple10._1\n val bool12 = (\n (\n (\n (\n (\n (\n (\n (\n (((box2.propositionBytes == SELF.propositionBytes) && (tuple4._1 == tuple5._1)) && (tuple6._1 == coll8)) && (\n box2.value >= placeholder[Long](10)\n )\n ) && (tuple9._1 == coll11)\n ) && (coll3.size == coll1.size)\n ) && box2.R4[Boolean].get\n ) && box2.R5[Boolean].get\n ) && box2.R6[Boolean].get\n ) && box2.R7[Boolean].get\n ) && box2.R8[Boolean].get\n ) && box2.R9[Boolean].get\n val bi13 = placeholder[BigInt](11)\n val l14 = tuple9._2\n val l15 = tuple6._2\n val l16 = placeholder[Long](12) - l15\n val coll17 = CONTEXT.dataInputs\n val bi18 = coll17.filter({(box18: Box) =>\n val coll20 = box18.tokens\n (coll20.size > placeholder[Int](13)) && (coll20(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15))\n })(placeholder[Int](16)).R5[BigInt].get\n val bi19 = placeholder[BigInt](17)\n val bi20 = l16.toBigInt * bi18 / bi19\n val l21 = tuple10._2\n val l22 = tuple7._2\n val l23 = placeholder[Long](18) - l22\n val box24 = coll17.filter({(box24: Box) =>\n val coll26 = box24.tokens\n (coll26.size > placeholder[Int](19)) && (coll26(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n })(placeholder[Int](22))\n val coll25 = box24.R5[Coll[Byte]].get\n val coll26 = OUTPUTS.filter({(box26: Box) => box26.propositionBytes == coll25 })\n val coll27 = box24.R6[Coll[Long]].get\n val l28 = l14 - l21\n val bool29 = l28 > placeholder[Long](23)\n val l30 = if (bool29) { l28 } else { l28 * placeholder[Long](24) }\n val bool31 = tuple4 == tuple5\n val l32 = l16 - l23\n val coll33 = OUTPUTS.filter({(box33: Box) => blake2b256(box33.propositionBytes) == placeholder[Coll[Byte]](25) })\n sigmaProp(\n (\n (\n (\n (bool12 && (tuple6 == tuple7)) && (\n bi13 * l14.toBigInt + bi20 / placeholder[Long](26) - tuple4._2.toBigInt > bi13 * l21.toBigInt + l23.toBigInt * bi18 / bi19 / placeholder[Long](\n 27\n ) - tuple5._2.toBigInt\n )\n ) && if (coll26.size > placeholder[Int](28)) {(\n val box34 = coll26(placeholder[Int](29))\n val tuple35 = box34.tokens(placeholder[Int](30))\n val l36 = coll27(placeholder[Int](31))\n val l37 = coll27(placeholder[Int](32))\n val l38 = coll27(placeholder[Int](33))\n val l39 = coll27(placeholder[Int](34))\n ((box34.propositionBytes == coll25) && (box34.value >= placeholder[Long](35))) && (\n (\n tuple35._2 >= max(\n if (l30 <= l36) { l30 / l37 } else {\n if (l30 <= l38) { l30 - l36 / l39 + l36 / l37 } else { l30 - l38 - l36 / coll27(placeholder[Int](36)) + l38 / l39 + l36 / l37 }\n }, coll27(placeholder[Int](37))\n )\n ) && (tuple35._1 == coll11)\n )\n )} else { placeholder[Boolean](38) }\n ) || (((bool12 && bool31) && bool29) && (l32 < placeholder[Long](39)))\n ) || if (coll33.size > placeholder[Int](40)) {(\n val box34 = coll33(placeholder[Int](41))\n val tuple35 = box34.tokens(placeholder[Int](42))\n val l36 = tuple35._2\n val bi37 = l36.toBigInt * bi18 / bi19\n val box38 = OUTPUTS.filter({(box38: Box) =>\n val coll40 = box38.tokens\n (coll40.size > placeholder[Int](43)) && box24.R4[Coll[Coll[Byte]]].get.exists({(coll41: Coll[Byte]) => (coll40(placeholder[Int](44))._1 == coll41) && (coll41 == box34.R7[Coll[Byte]].get) })\n })(placeholder[Int](45))\n val coll39 = box38.R4[Coll[Long]].get\n val l40 = coll39(placeholder[Int](46))\n val l41 = coll39(placeholder[Int](47))\n val l42 = box34.value\n val l43 = coll39(placeholder[Int](48))\n val coll44 = box34.R9[Coll[Long]].get\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (((bool12 && bool31) && (l36 + l15 == l22)) && (l28 < placeholder[Long](49))) && (\n (l28 * placeholder[Long](50).toBigInt == bi37) && (bi37 >= l40.toBigInt)\n )\n ) && (l32 == l36)\n ) && (tuple35._1 == coll8)\n ) && (box34.R6[Long].get == placeholder[Long](51))\n ) && (coll39(placeholder[Int](52)).toBigInt >= bi37 * l41.toBigInt / placeholder[Int](53).toBigInt)\n ) && (bi20 < coll39(placeholder[Int](54)).toBigInt)\n ) && (\n OUTPUTS.map({(box45: Box) => box45.id }).indexOf(box34.id, placeholder[Int](55)) == box38.R9[Coll[Int]].get(placeholder[Int](56)) - placeholder[\n Int\n ](57)\n )\n ) && ((l42 > placeholder[Long](58)) && (l42 >= l43))\n ) && (\n (\n (\n (\n (\n (\n ((coll44(placeholder[Int](59)) == l41) && (coll44(placeholder[Int](60)) == coll39(placeholder[Int](61)))) && (\n coll44(placeholder[Int](62)) == coll39(placeholder[Int](63))\n )\n ) && (coll44(placeholder[Int](64)) == l43)\n ) && (coll44(placeholder[Int](65)) == l40)\n ) && (coll44(placeholder[Int](66)) >= HEIGHT.toLong)\n ) && (coll44(placeholder[Int](67)) == coll39(placeholder[Int](68)))\n ) && (coll44(placeholder[Int](69)) == coll39(placeholder[Int](70)))\n )\n ) && (bi37 <= coll39(placeholder[Int](71)).toBigInt)\n )} else { placeholder[Boolean](72) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "32677ed3e39e825d1225cdd39c109b344193a6876794d98eae411746c661565c",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6a78927332833e1cc974dc3023802307214bff20fe187ba21bf2118e67a95a10",
"index": 1,
"amount": 8999999988000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "5111745356473bad65df3cd53dcbafb0fa76b770a9982a923e3894333bacf642",
"index": 2,
"amount": 8999999993000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 5350012,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R6": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R8": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R7": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R9": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R4": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
}
},
"spentTransactionId": "46b2a93be3a91fe104bea3994229114a73778ad256c4098cd27615c986f95a96",
"mainChain": true
},
{
"boxId": "816fe091d40a13a6c104737121367bd6b135e1129653ceb4750f98c5eaf9393f",
"transactionId": "fbc4ff0cf007aa35e74f70e993b7dd8a1796f33860df60604b6c028246df175a",
"blockId": "15f63935f79e15a19517fb3bc3eb001dc37799997ed576a96d845ca2d9089462",
"value": 203000000,
"index": 1,
"globalIndex": 52089921,
"creationHeight": 1672345,
"settlementHeight": 1672347,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(101,81,-78,-96,-104,100,-29,-117,-56,117,-114,-31,69,-111,49,96,-128,119,75,105,-64,-15,92,-47,41,58,-58,-79,41,8,99,-27)\n3: 3\n4: 0\n5: 0\n6: 0\n7: CBigInt(10000000000000000)\n8: 0\n9: 0\n10: Coll(70,-110,-119,24,-65,0,35,-37,-48,-39,6,89,39,119,-8,-13,-76,2,-38,-70,19,-128,114,35,-33,-23,11,101,87,74,38,-54)\n11: 0\n12: 1\n13: 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)\n14: 0\n15: 0\n16: 0\n17: 1\n18: 5\n19: 7\n20: 2\n21: 1000\n22: 6\n23: 0\n24: 0\n25: 0\n26: 0\n27: 0\n28: 0\n29: 1\n30: 2\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0\n36: 1\n37: 10000000\n38: 1\n39: 1000000\n40: 1000\n41: 1000\n42: 1000000\n43: 10000000\n44: 5\n45: 1000000\n46: 10000000\n47: 100000000\n48: 100000000\n49: 0\n50: 0\n51: 0\n52: 100000000\n53: 0\n54: 1\n55: 3\n56: 2\n57: 3\n58: 1000\n59: 1\n60: 1\n61: 980000\n62: 1000000\n63: CBigInt(1)\n64: 0\n65: 0\n66: 0\n67: 0\n68: -1\n69: 1\n70: 1\n71: 2000000\n72: 0\n73: 0\n74: 0\n75: true\n76: 0\n77: 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.R9[Coll[Long]].get\n val l6 = coll5(placeholder[Int](3))\n val coll7 = SELF.tokens\n val tuple8 = coll7(placeholder[Int](4))\n val coll9 = tuple8._1\n val coll10 = SELF.R4[Coll[Byte]].get\n val ge11 = SELF.R5[GroupElement].get\n val coll12 = SELF.R8[Coll[Byte]].get\n val l13 = SELF.R6[Long].get\n val l14 = SELF.value\n val func15 = {(box15: Box) =>\n val coll17 = box15.propositionBytes\n val bool18 = coll17 == coll3\n bool18\n }\n val coll16 = OUTPUTS.filter(func15)\n val box17 = coll16.getOrElse(placeholder[Int](5), SELF)\n val coll18 = box17.tokens\n val tuple19 = coll18(placeholder[Int](6))\n val l20 = tuple19._2\n val bi21 = placeholder[BigInt](7)\n val bi22 = CONTEXT.dataInputs.filter({(box22: Box) =>\n val coll24 = box22.tokens\n (coll24.size > placeholder[Int](8)) && (coll24(placeholder[Int](9))._1 == placeholder[Coll[Byte]](10))\n })(placeholder[Int](11)).R5[BigInt].get\n val l23 = tuple8._2\n val bi24 = l23.toBigInt\n val coll25 = coll7.slice(placeholder[Int](12), coll7.size)\n val coll26 = placeholder[Coll[Byte]](13)\n val func27 = {(box27: Box) =>\n val coll29 = box27.propositionBytes\n val coll30 = blake2b256(coll29)\n val bool31 = coll30 == coll4\n bool31\n }\n val coll28 = OUTPUTS.filter(func27)\n val box29 = coll28.getOrElse(placeholder[Int](14), SELF)\n val coll30 = box29.tokens\n val tuple31 = coll30(placeholder[Int](15))\n val l32 = coll5(placeholder[Int](16))\n val bool33 = INPUTS.filter({(box33: Box) => box33.propositionBytes == coll3 }).size == placeholder[Int](17)\n val l34 = HEIGHT.toLong\n val l35 = coll5(placeholder[Int](18)) + coll5(placeholder[Int](19))\n val l36 = coll5(placeholder[Int](20))\n val bi37 = bi24 * bi22 / bi21\n val bi38 = if (l34 < l35) {(\n val i38 = placeholder[Int](21)\n bi37 * coll5(placeholder[Int](22)).toBigInt + i38.toBigInt / i38.toBigInt\n )} else { bi37 }\n val box39 = coll28.getOrElse(placeholder[Int](23), SELF)\n val coll40 = box39.tokens\n val tuple41 = coll40(placeholder[Int](24))\n val func42 = {(box42: Box) =>\n val coll44 = box42.propositionBytes\n val coll45 = blake2b256(coll44)\n val bool46 = coll45 == coll4\n bool46\n }\n val coll43 = OUTPUTS.filter(func42)\n val box44 = coll43.getOrElse(placeholder[Int](25), SELF)\n val coll45 = box44.tokens\n val tuple46 = coll45(placeholder[Int](26))\n if (coll2.size > placeholder[Int](27)) {(\n val func47 = func15\n val coll48 = coll16\n val func49 = func27\n val coll50 = coll28\n val box51 = coll2.getOrElse(placeholder[Int](28), SELF)\n val coll52 = box51.R4[Coll[Long]].get\n val l53 = coll52(placeholder[Int](29))\n val l54 = coll52(placeholder[Int](30))\n if (coll48.size > placeholder[Int](31)) {(\n val box55 = box17\n val l56 = box55.value\n val coll57 = coll18\n val tuple58 = tuple19\n val coll59 = box55.R8[Coll[Byte]].get\n val bool60 = (\n (\n ((((l56 >= l6) && (tuple58._1 == coll9)) && (box55.R4[Coll[Byte]].get == coll10)) && (box55.R5[GroupElement].get == ge11)) && (\n box55.R7[Coll[Byte]].get == coll1\n )\n ) && (coll12 == coll59)\n ) && (\n OUTPUTS.map({(box60: Box) => box60.id }).indexOf(box55.id, placeholder[Int](32)) == box51.R9[Coll[Int]].get(placeholder[Int](33)) - placeholder[Int](34)\n )\n val l61 = box55.R6[Long].get\n val coll62 = box55.R9[Coll[Long]].get\n val bool63 = coll62 == coll5\n if (coll50.size > placeholder[Int](35)) {(\n val bi64 = l20.toBigInt\n val box65 = box29\n val coll66 = coll30\n val tuple67 = coll66(placeholder[Int](36))\n val tuple68 = tuple31\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (((bool60 && (l56 >= l14)) && (l56 <= l14 + placeholder[Long](37))) && (bi64 >= bi24 - tuple67._2.toBigInt * bi21 / bi22)) && (\n coll57.slice(placeholder[Int](38), coll57.size) == coll25\n )\n ) && (l61 == l13)\n ) && bool63\n ) && (((box65.value >= placeholder[Long](39)) && (tuple68._1 == coll9)) && (tuple67._1 == coll26))\n ) && (tuple68._2 == l23 - l20)\n ) && (l53.toBigInt >= bi64 * bi22 / bi21 * l32.toBigInt / placeholder[Int](40).toBigInt)\n ) && bool33\n ) && (l34 >= l35)\n )\n )} else {(\n val bi64 = l53.toBigInt\n val i65 = placeholder[Int](41)\n val bi66 = l20.toBigInt * bi22 / bi21 * l32.toBigInt / i65.toBigInt\n val bool67 = bi64 >= bi66\n sigmaProp(\n (\n (\n (\n ((((bool60 && (l56 >= l14 - placeholder[Long](42))) && (l56 <= l14 + placeholder[Long](43))) && (coll57 == coll7)) && (l61 > l34 + l36)) && (\n l61 < l34 + l36 + placeholder[Long](44)\n )\n ) && (bi64 < bi66)\n ) && bool63\n ) && bool33\n ) || sigmaProp(\n (\n (\n (\n (\n (((bool60 && (l56 >= l14 - placeholder[Long](45))) && (l56 <= l14 + placeholder[Long](46))) && (coll57 == coll7)) && (\n l13 != placeholder[Long](47)\n )\n ) && (l61 == placeholder[Long](48))\n ) && bool67\n ) && bool63\n ) && bool33\n ) || sigmaProp(INPUTS.filter({(box68: Box) =>\n val coll70 = box68.tokens\n (coll70.size > placeholder[Int](49)) && (coll70(placeholder[Int](50))._1 == coll59)\n }).size > placeholder[Int](51)) || proveDlog(ge11) && sigmaProp(\n (\n (\n (\n ((((bool60 && (bi64 >= bi38 * l54.toBigInt / i65.toBigInt)) && (tuple58 == tuple8)) && (l61 == placeholder[Long](52))) && bool67) && (\n (coll62(placeholder[Int](53)) == l54) && (coll62(placeholder[Int](54)) == coll52(placeholder[Int](55)))\n )\n ) && bool33\n ) && (coll62(placeholder[Int](56)) == l36)\n ) && (coll62(placeholder[Int](57)) == l6)\n )\n )}\n )} else {(\n val bi55 = l53.toBigInt\n val i56 = placeholder[Int](58)\n val box57 = box39\n val coll58 = coll40\n val tuple59 = tuple41\n val tuple60 = coll58(placeholder[Int](59))\n val coll61 = SELF.id\n val bi62 = bi55 - bi38\n val bi63 = coll5(placeholder[Int](60)).toBigInt\n val bi64 = bi62 * i56.toBigInt - bi63 / i56.toBigInt\n val l65 = tuple60._2\n sigmaProp(\n (\n (\n (\n (\n (((bi55 <= bi38 * l32.toBigInt / i56.toBigInt) && (l34 >= l13)) || (l34 > SELF.creationInfo._1.toLong + placeholder[Long](61))) && (\n (((box57.value >= placeholder[Long](62)) && (tuple59._1 == coll9)) && (tuple60._1 == coll26)) && (box57.id != coll61)\n )\n ) && (tuple59._2 == l23)\n ) && if (bi64 < placeholder[BigInt](63)) { l65.toBigInt >= bi55 } else {(\n val box66 = OUTPUTS.filter({(box66: Box) => box66.propositionBytes == coll10 }).getOrElse(placeholder[Int](64), SELF)\n val tuple67 = box66.tokens(placeholder[Int](65))\n (((l65.toBigInt >= bi38 + bi62 * bi63 / i56.toBigInt) && (tuple67._2.toBigInt >= bi64)) && (tuple67._1 == coll26)) && (box66.id != coll61)\n )}\n ) && (\n INPUTS.map({(box66: Box) => box66.id }).indexOf(coll61, placeholder[Int](66)) == box51.R9[Coll[Int]].get(placeholder[Int](67)) * placeholder[Int](\n 68\n ) - placeholder[Int](69)\n )\n ) && bool33\n )\n )}\n )} else {(\n val func47 = func42\n val coll48 = coll43\n val box49 = box44\n val coll50 = coll45\n val tuple51 = tuple46\n val tuple52 = coll50(placeholder[Int](70))\n sigmaProp(\n (\n (\n (((((box49.value >= placeholder[Long](71)) && (tuple51._1 == coll9)) && (tuple52._1 == coll26)) && (box49.id != SELF.id)) && (tuple51._2 == l23)) && (\n tuple52._2.toBigInt > bi38\n )\n ) && if (INPUTS.filter({(box53: Box) =>\n val coll55 = box53.tokens\n (coll55.size > placeholder[Int](72)) && (coll55(placeholder[Int](73))._1 == coll12)\n }).size > placeholder[Int](74)) { placeholder[Boolean](75) } else {(\n val box53 = OUTPUTS.filter({(box53: Box) => box53.propositionBytes == coll10 }).getOrElse(placeholder[Int](76), SELF)\n ((box53.value >= l14 - placeholder[Long](77)) && (box53.tokens == coll25)) && (box53.id != SELF.id)\n )}\n ) && bool33\n )\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "5111745356473bad65df3cd53dcbafb0fa76b770a9982a923e3894333bacf642",
"index": 0,
"amount": 7000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R6": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R8": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R7": {
"serializedValue": "0e20d82a3ad5af62a4c4fa2f142dac14024151f1a4a2ad134c8e3d1313b3be8d75c3",
"sigmaType": "Coll[SByte]",
"renderedValue": "d82a3ad5af62a4c4fa2f142dac14024151f1a4a2ad134c8e3d1313b3be8d75c3"
},
"R9": {
"serializedValue": "1108b6163c108087a70e00bc92cc01641e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1435,30,8,15000000,0,1672350,50,15]"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
},
"spentTransactionId": "cac23d28ebd3a755f03e3b465e36ef691a8e7c76943d4a23b41e09c445601e03",
"mainChain": true
},
{
"boxId": "31351ba3fc30099f1f7301c219b1a5badcde2a6681b90b869f735ce2056fb6d3",
"transactionId": "fbc4ff0cf007aa35e74f70e993b7dd8a1796f33860df60604b6c028246df175a",
"blockId": "15f63935f79e15a19517fb3bc3eb001dc37799997ed576a96d845ca2d9089462",
"value": 1000000,
"index": 2,
"globalIndex": 52089922,
"creationHeight": 1672345,
"settlementHeight": 1672347,
"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
"assets": [
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 0,
"amount": 7000000,
"name": "QUACKS",
"decimals": 6,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20e2e8e8a8d93d414c218e968e8edd4806b956ecbd361ffcf2c634a51b67eb134d",
"sigmaType": "Coll[SByte]",
"renderedValue": "e2e8e8a8d93d414c218e968e8edd4806b956ecbd361ffcf2c634a51b67eb134d"
}
},
"spentTransactionId": "109765e33798edd3faafc70b4b84f0be14c8c52edfc42ec4cd62d478e357d18d",
"mainChain": true
},
{
"boxId": "1125d041e2506625072ab17eeceba54840c206457870aae78de63cd0f83b7036",
"transactionId": "fbc4ff0cf007aa35e74f70e993b7dd8a1796f33860df60604b6c028246df175a",
"blockId": "15f63935f79e15a19517fb3bc3eb001dc37799997ed576a96d845ca2d9089462",
"value": 1000000,
"index": 3,
"globalIndex": 52089923,
"creationHeight": 1672345,
"settlementHeight": 1672347,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 4\n6: 4\n7: 5\n8: 5\n9: 6\n10: 6\n11: 8\n12: 8\n13: 7\n14: 7\n15: 1\n16: 0\n17: 0\n18: 1\n19: -1\n20: 1\n21: 1\n22: CBigInt(0)\n23: CBigInt(2)\n24: CBigInt(100)\n25: CBigInt(1000)\n26: 0\n27: 2\n28: 5000000\n29: 1000000000000\n30: 1\n31: 0\n32: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n33: 2\n34: 1\n35: 3\n36: 1000\n37: 0\n38: 30\n39: 0\n40: 0\n41: 2\n42: 1\n43: 2\n44: 1001\n45: 1\n46: 0\n47: 2\n48: 0\n49: 1\n50: 0\n51: 0\n52: 4000000\n53: 1\n54: 0\n55: 1000\n56: 0\n57: 0\n58: 9\n59: 9\n60: 0\n61: 0\n62: 0",
"ergoTreeScript": "{\n val coll1 = SELF.propositionBytes\n val box2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll3 = box2.propositionBytes\n val coll4 = box2.R4[Coll[Long]].get\n val l5 = coll4(placeholder[Int](4))\n val coll6 = SELF.R4[Coll[Long]].get\n val l7 = coll6(placeholder[Int](5))\n val l8 = coll4(placeholder[Int](6))\n val l9 = coll6(placeholder[Int](7))\n val l10 = coll4(placeholder[Int](8))\n val l11 = coll6(placeholder[Int](9))\n val l12 = coll4(placeholder[Int](10))\n val l13 = coll6(placeholder[Int](11))\n val l14 = coll4(placeholder[Int](12))\n val l15 = coll6(placeholder[Int](13))\n val l16 = coll4(placeholder[Int](14))\n val coll17 = SELF.R5[Coll[Coll[Byte]]].get\n val coll18 = box2.R5[Coll[Coll[Byte]]].get\n val coll19 = SELF.R6[Coll[Long]].get\n val coll20 = box2.R6[Coll[Long]].get\n val coll21 = CONTEXT.dataInputs\n val coll22 = box2.R9[Coll[Int]].get\n val i23 = coll22(placeholder[Int](15))\n val box24 = coll21(i23)\n val coll25 = box24.tokens\n val i26 = coll22(placeholder[Int](16))\n val box27 = if (i26 > placeholder[Int](17)) { OUTPUTS(i26 - placeholder[Int](18)) } else { INPUTS(i26 * placeholder[Int](19) - placeholder[Int](20)) }\n val bi28 = box27.value.toBigInt\n val coll29 = coll21.slice(i23 + placeholder[Int](21), coll21.size)\n val coll30 = box2.R7[Coll[Long]].get\n val bi31 = placeholder[BigInt](22)\n val bi32 = placeholder[BigInt](23)\n val bi33 = placeholder[BigInt](24)\n val bi34 = placeholder[BigInt](25)\n val bi35 = bi28 + coll29.zip(coll30).fold(bi31, {(tuple35: (BigInt, (Box, Long))) =>\n val tuple37 = tuple35._2\n val l38 = tuple37._2\n val box39 = tuple37._1\n val bi40 = tuple35._1\n if (l38 > placeholder[Long](26)) {(\n val bi41 = l38.toBigInt\n val bi42 = box39.R4[Int].get.toBigInt\n val bi43 = box39.tokens(placeholder[Int](27))._2.toBigInt\n bi40 + box39.value.toBigInt * bi41 * bi42 / bi43 + bi43 * bi32 / bi33 * bi34 + bi41 * bi42\n )} else { bi40 }\n }) - placeholder[Int](28).toBigInt\n val bi36 = box24.R4[Int].get.toBigInt\n val bi37 = box24.value.toBigInt\n val l38 = placeholder[Long](29)\n val coll39 = box27.tokens\n val i40 = coll39.size\n val coll41 = box2.R8[Coll[Coll[Byte]]].get\n val coll42 = coll18.slice(placeholder[Int](30), coll18.size)\n val i43 = coll29.size\n val i44 = coll30.size\n sigmaProp(\n (\n (\n (\n (\n (\n (((((coll1 == coll3) && (SELF.value == box2.value)) && (SELF.tokens == box2.tokens)) && (l5 == placeholder[Long](31))) && (l7 == l8)) && (\n l9 == l10\n )\n ) && (l11 == l12)\n ) && (l13 == l14)\n ) && (l15 == l16)\n ) && (coll17 == coll18)\n ) && (coll19 == coll20)\n ) && placeholder[SigmaProp](32) || sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n ((coll3 == coll1) && ((coll18 == coll17) && (coll20 == coll19))) && (\n coll25(placeholder[Int](33))._2.toBigInt * bi35 * bi36 / bi37 + bi37 * bi32 / bi33 * bi34 + bi35 * bi36 == coll4(\n placeholder[Int](34)\n ).toBigInt\n )\n ) && (max(min(coll4(placeholder[Int](35)), placeholder[Long](36)), placeholder[Long](37)) == placeholder[Long](38))\n ) && (bi28 * l38.toBigInt * coll20(placeholder[Int](39)).toBigInt / bi35 + coll30.indices.fold(bi31, {(tuple45: (BigInt, Int)) =>\n val i47 = tuple45._2\n val l48 = coll30(i47)\n val bi49 = tuple45._1\n if (l48 > placeholder[Long](40)) {(\n val box50 = coll29(i47)\n val bi51 = l48.toBigInt\n val bi52 = box50.R4[Int].get.toBigInt\n val bi53 = box50.tokens(placeholder[Int](41))._2.toBigInt\n bi49 + box50.value.toBigInt * bi51 * bi52 / bi53 + bi53 * bi32 / bi33 * bi34 + bi51 * bi52 * l38.toBigInt * coll20.slice(placeholder[Int](42), coll20.size)(i47).toBigInt / bi35\n )} else { bi49 }\n }) / l38.toBigInt == max(coll4(placeholder[Int](43)), placeholder[Long](44)).toBigInt)\n ) && coll39.slice(placeholder[Int](45), i40).forall(\n {(tuple45: (Coll[Byte], Long)) => coll41.zip(coll30).exists({(tuple47: (Coll[Byte], Long)) => tuple47 == tuple45 }) }\n )\n ) && coll42.indices.forall({(i45: Int) =>\n val coll47 = coll29(i45).tokens\n (coll42(i45) == coll47(placeholder[Int](46))._1) && (coll41(i45) == coll47(placeholder[Int](47))._1)\n })\n ) && ((i43 == i44) && (i43 == coll42.size))\n ) && (i44 == coll41.size)\n ) && (coll30.filter({(l45: Long) => l45 == placeholder[Long](48) }).size == i44 - i40 - placeholder[Int](49))\n ) && (coll6(placeholder[Int](50)) == max(l5, placeholder[Long](51)))\n ) && (l7 == max(l8, placeholder[Long](52)))\n ) && (l9 == max(l10, placeholder[Long](53)))\n ) && (l11 == max(l12, placeholder[Long](54)))\n ) && (l15 == max(min(l16, placeholder[Long](55)), placeholder[Long](56)))\n ) && (l13 == max(l14, placeholder[Long](57)))\n ) && (coll6(placeholder[Int](58)) == max(coll4(placeholder[Int](59)), placeholder[Long](60)))\n ) && (coll25(placeholder[Int](61))._1 == coll18(placeholder[Int](62)))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "d82a3ad5af62a4c4fa2f142dac14024151f1a4a2ad134c8e3d1313b3be8d75c3",
"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS - Beta-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": "110a80a0b787e90580fb8f0fb6163c8087a70e1000641e80b48913",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,15859392,1435,30,15000000,8,0,50,15,20000000]"
}
},
"spentTransactionId": "125ce4a3822cdd1cd6f49f78cd1b4dea2a561b2ea6ff82560132c38e6207dc75",
"mainChain": true
},
{
"boxId": "5cc74f5f57108c128e98982c779f33cd66d64486e90a650c10987a47d97f98bc",
"transactionId": "fbc4ff0cf007aa35e74f70e993b7dd8a1796f33860df60604b6c028246df175a",
"blockId": "15f63935f79e15a19517fb3bc3eb001dc37799997ed576a96d845ca2d9089462",
"value": 1000000,
"index": 4,
"globalIndex": 52089924,
"creationHeight": 1672345,
"settlementHeight": 1672347,
"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": "0453a513b9fc4e3df581074b2b18c1efc2627fe6424094cc15bacd8df2e29115",
"mainChain": true
}
],
"size": 5370,
"isUnconfirmed": false
}