Transaction
ID: 73a4cf9ac7...66d3
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.014 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.305 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.014 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.303 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: 70,214
Total coins transferred: 0.32 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000185 ERG
Raw Transaction Data
{
"id": "73a4cf9ac73279d84aec8a10532eb28ae11a49cd34ec9b48a7da40a8dfd066d3",
"blockId": "bcaabc1ee90fb1871401b6d959c67370172f127fea1190fc7ab1fc2884b0a662",
"inclusionHeight": 1689287,
"timestamp": 1767145881410,
"index": 7,
"globalIndex": 10061720,
"numConfirmations": 70214,
"inputs": [
{
"boxId": "cd9a29e64ebd2af1d4b9866826d58f699eaaee7a43989bf299ab69e4df79b4e8",
"value": 14000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "484d2a31078f4cb8bbfbaa436912e74687933ad9fbb930cb6e24a28079d4929a",
"outputTransactionId": "bcb6d7b4bd23778318b23bbfeccbf7ae18b54c8c32019a9b1a5d08395aaa345c",
"outputIndex": 0,
"outputGlobalIndex": 52637663,
"outputCreatedAt": 1689255,
"outputSettledAt": 1689257,
"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(-97,25,75,95,8,-128,125,-112,-81,65,64,112,95,124,82,78,32,57,-114,-76,13,-36,96,-40,-19,-7,105,-121,127,31,-58,-42)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(105,-107,-121,83,85,1,28,-33,52,67,56,-79,-6,-18,37,24,-61,84,52,-118,1,-109,-71,55,-125,-50,-123,-80,71,-58,-35,-72)\n22: 0\n23: 0\n24: -1\n25: Coll(41,93,125,72,-67,-6,35,41,74,-114,122,55,74,41,-42,35,116,123,73,20,27,19,12,-115,119,-127,52,70,-5,-76,34,94)\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": "86052fc6466909ca976595076105156cc92b928186fe8ec2374ba46afd030620",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "9a306274296cf160acf63e8d90dba02a6d1f9255ac59c52c39b612199c080c34",
"index": 1,
"amount": 8999999979999898,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "65d079d277f91b1676ed945b0a3a8ae9d09e17e3cc90fb0ed0ce48de3b4b4f99",
"index": 2,
"amount": 8999999993920000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 14282889,
"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": "f600612d736a3f4c07707888e7a254dd3ec1bafab15da409ba22520528ca8a4a",
"value": 305000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "4f737fcca0e21801cb6d2dceecf362cc081deeedbff549d4dfd3f9b4e71317b8",
"outputTransactionId": "7f58fbd247bf32f2a1160dc23227a5fcde126bef2dc1a2a356d6468db8f7a3c4",
"outputIndex": 0,
"outputGlobalIndex": 52638844,
"outputCreatedAt": 1689284,
"outputSettledAt": 1689285,
"ergoTree": "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",
"ergoTreeConstants": "0: 3\n1: 0\n2: 1000000\n3: 1\n4: 2\n5: 0\n6: Coll(41,93,125,72,-67,-6,35,41,74,-114,122,55,74,41,-42,35,116,123,73,20,27,19,12,-115,119,-127,52,70,-5,-76,34,94)\n7: 1000000\n8: 1000000\n9: 1\n10: 1\n11: Coll(101,-48,121,-46,119,-7,27,22,118,-19,-108,91,10,58,-118,-23,-48,-98,23,-29,-52,-112,-5,14,-48,-50,72,-34,59,75,79,-103)\n12: 0\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: 5\n15: 10\n16: 0\n17: 0\n18: Coll(-122,5,47,-58,70,105,9,-54,-105,101,-107,7,97,5,21,108,-55,43,-110,-127,-122,-2,-114,-62,55,75,-92,106,-3,3,6,32)\n19: 0\n20: 0",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Byte]].get\n val coll2 = SELF.R5[Coll[Long]].get\n val ge3 = SELF.R9[GroupElement].get\n sigmaProp(if (OUTPUTS.size < placeholder[Int](0)) {(\n val box4 = OUTPUTS(placeholder[Int](1))\n (((box4.propositionBytes == coll1) && (SELF.value - box4.value <= placeholder[Long](2))) && (box4.R4[Coll[Byte]].get == SELF.id)) && (HEIGHT >= SELF.R6[Int].get)\n )} else {(\n val box4 = OUTPUTS(placeholder[Int](3))\n val box5 = OUTPUTS(placeholder[Int](4))\n val coll6 = box4.tokens\n val tuple7 = coll6(placeholder[Int](5))\n (((((((((((blake2b256(box4.propositionBytes) == placeholder[Coll[Byte]](6)) && (box5.propositionBytes == coll1)) && ((box4.value == SELF.value - placeholder[Long](7) - placeholder[Long](8)) && (coll6.slice(placeholder[Int](9), coll6.size) == SELF.tokens))) && (((coll2(placeholder[Int](10)) >= tuple7._2) && (tuple7._1 == placeholder[Coll[Byte]](11))) && (box5.tokens(placeholder[Int](12))._1 == placeholder[Coll[Byte]](13)))) && (box4.R4[Coll[Byte]].get == coll1)) && (box4.R8[Coll[Byte]].get == SELF.R7[Coll[Byte]].get)) && (box4.R9[Coll[Long]].get(placeholder[Int](14)) <= HEIGHT + placeholder[Int](15).toLong)) && (SELF.R8[Coll[Byte]].get == box4.R7[Coll[Byte]].get)) && (ge3 == box4.R5[GroupElement].get)) && (INPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))._1 == placeholder[Coll[Byte]](18))) && (box5.tokens(placeholder[Int](19))._2 == coll2(placeholder[Int](20)))) && (box5.R4[Coll[Byte]].get == SELF.id)\n )}) || proveDlog(ge3)\n}",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "110680bfd6068cded1069e163c108087a70e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[7000000,6961030,1423,30,8,15000000]"
},
"R6": {
"serializedValue": "04a29bce01",
"sigmaType": "SInt",
"renderedValue": "1689297"
},
"R8": {
"serializedValue": "0e2000c4d80d9e2ac35a032d05401175188b0b81c021bf4e9c1ec27266d524ad6def",
"sigmaType": "Coll[SByte]",
"renderedValue": "00c4d80d9e2ac35a032d05401175188b0b81c021bf4e9c1ec27266d524ad6def"
},
"R7": {
"serializedValue": "0e20712753bc0bb9c55bfe2aa07f3567a4f6f494ab2dd78479109690a9b91204209a",
"sigmaType": "Coll[SByte]",
"renderedValue": "712753bc0bb9c55bfe2aa07f3567a4f6f494ab2dd78479109690a9b91204209a"
},
"R9": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
},
{
"boxId": "38fef9292fb3a41448a8e81126b75a14cc6422ae7446c220a273014aa8766956",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "dd718ec30c724419f60a52d3b330c92d712cc5cb259669b6f8ff5a0ca5e37dc8",
"outputTransactionId": "39f0533db288258b4d277953fa8de89389d01d74eb3ed15680d7b187f3a43933",
"outputIndex": 3,
"outputGlobalIndex": 52635950,
"outputCreatedAt": 1689211,
"outputSettledAt": 1689212,
"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": "00c4d80d9e2ac35a032d05401175188b0b81c021bf4e9c1ec27266d524ad6def",
"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": "110a80a0b787e905a0eab0109e163c8087a70e1000641e80b48913",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,17177232,1423,30,15000000,8,0,50,15,20000000]"
}
}
}
],
"dataInputs": [
{
"boxId": "69af299ff1f15f88c36b68c4460e46d8f41999aec51f21a6aa2fdcfe4f3ccd5a",
"value": 46700000,
"index": 0,
"outputBlockId": "484d2a31078f4cb8bbfbaa436912e74687933ad9fbb930cb6e24a28079d4929a",
"outputTransactionId": "d140092e61aa41447700636b828846221d7f316dbfbe7ebc09645958bff6d154",
"outputIndex": 0,
"ergoTree": "10140400058084af5f04020400058080d4aff9dcfc1f040405808088fccdbcc3230406048092f40104000402040404060408040a04f00104000e2086052fc6466909ca976595076105156cc92b928186fe8ec2374ba46afd03062004000e20475959afbc38d35ca1abdf7d41e8ea6434f391a48cf2c0bd8682d45d131aa509d80ad601e4c6a70405d602b2a5730000d603e4c6a70506d6047301d605db6501fed606b27205730200d607e4c672060411d608db6308b27205730300d6099d9c7e9973048cb27208730500020672037e730606d60a9d9c7e72040672099a7e8cb2720873070002067209d1edededededededed927ea305720193c2a7c2720292c1720299c1a77e73080593db63087202db6308a793e4c6720205069d9c72039a7e7204069a9a9a9a9a7eb27207730900069d9c7eb27207730a0006720a7e7204069d9c9d9c7eb27207730b0006720a7e720406720a7e7204069d9c9d9c9d9c7eb27207730c0006720a7e720406720a7e720406720a7e7204069d9c9d9c9d9c9d9c7eb27207730d0006720a7e720406720a7e720406720a7e720406720a7e7204069d9c9d9c9d9c9d9c9d9c7eb27207730e0006720a7e720406720a7e720406720a7e720406720a7e720406720a7e7204067e72040693e4c6720204059a72017e730f05938cb27208731000017311938cb2db63087206731200017313ededede4c672020601e4c672020701e4c672020801e4c672020901",
"address": "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",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "060723b9dd1ea58283",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10055983537947267)"
},
"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": "05bc9cce01",
"sigmaType": "SLong",
"renderedValue": "1689374"
}
}
},
{
"boxId": "a6056ae7e2310d018bca13b9f0eb3281cf0899b09391da584bb5251a9e6a1c86",
"value": 1000000,
"index": 1,
"outputBlockId": "e296907d659ea8e39b4827c3ab737ccc8f5a3a5e7f74e6c167b5f810b84e6f58",
"outputTransactionId": "27639f83e2693a40d7047b3f979480774247d6362241853340b8135c91e59e7c",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
"address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a022000c4d80d9e2ac35a032d05401175188b0b81c021bf4e9c1ec27266d524ad6def20947478e6a6a9957634eed2e4ed3ba8503e9eca502e07e6ae397842a3275310ac",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00c4d80d9e2ac35a032d05401175188b0b81c021bf4e9c1ec27266d524ad6def,947478e6a6a9957634eed2e4ed3ba8503e9eca502e07e6ae397842a3275310ac]"
},
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "1106a01f80b518c0029003f40302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000,200000,160,200,250,1]"
}
}
},
{
"boxId": "becf051d8426e4f6b9aab8a97a588471fefdd04b7e0cee50c81ba6d7900b0b32",
"value": 19016513405769,
"index": 2,
"outputBlockId": "b38c677fc0a3c0ef4f2a48ec5ee63b065bd271ae40ad101c0b6f65d975a9449b",
"outputTransactionId": "62d434e012c060b58f2e5f0f44ecfa096427d80565f36a9df340ca5dd3f8bc81",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
}
],
"outputs": [
{
"boxId": "e8faacb1be4afcf0a3dcdf6231fc7d2c64c893ebe5aed04026512789d0215b52",
"transactionId": "73a4cf9ac73279d84aec8a10532eb28ae11a49cd34ec9b48a7da40a8dfd066d3",
"blockId": "bcaabc1ee90fb1871401b6d959c67370172f127fea1190fc7ab1fc2884b0a662",
"value": 14000000,
"index": 0,
"globalIndex": 52638895,
"creationHeight": 1689285,
"settlementHeight": 1689287,
"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(-97,25,75,95,8,-128,125,-112,-81,65,64,112,95,124,82,78,32,57,-114,-76,13,-36,96,-40,-19,-7,105,-121,127,31,-58,-42)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(105,-107,-121,83,85,1,28,-33,52,67,56,-79,-6,-18,37,24,-61,84,52,-118,1,-109,-71,55,-125,-50,-123,-80,71,-58,-35,-72)\n22: 0\n23: 0\n24: -1\n25: Coll(41,93,125,72,-67,-6,35,41,74,-114,122,55,74,41,-42,35,116,123,73,20,27,19,12,-115,119,-127,52,70,-5,-76,34,94)\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": "86052fc6466909ca976595076105156cc92b928186fe8ec2374ba46afd030620",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "9a306274296cf160acf63e8d90dba02a6d1f9255ac59c52c39b612199c080c34",
"index": 1,
"amount": 8999999979999898,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "65d079d277f91b1676ed945b0a3a8ae9d09e17e3cc90fb0ed0ce48de3b4b4f99",
"index": 2,
"amount": 8999999986958970,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 7282889,
"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": "dbece022d33f4af0f67453e0d6dee52a177d0eb4343939ab3d5d683703f318d9",
"mainChain": true
},
{
"boxId": "e5645432a3b5f2f1ef222e8d539ae43fe58fb0b53ffc2cbe2fccbc190f0d4d92",
"transactionId": "73a4cf9ac73279d84aec8a10532eb28ae11a49cd34ec9b48a7da40a8dfd066d3",
"blockId": "bcaabc1ee90fb1871401b6d959c67370172f127fea1190fc7ab1fc2884b0a662",
"value": 303000000,
"index": 1,
"globalIndex": 52638896,
"creationHeight": 1689285,
"settlementHeight": 1689287,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(60,126,-57,76,-34,0,-115,-34,-76,30,-32,55,55,-104,8,30,92,53,-61,49,-15,-125,-27,21,64,54,-45,-95,-1,11,117,90)\n3: 3\n4: 0\n5: 0\n6: 0\n7: CBigInt(10000000000000000)\n8: 0\n9: 0\n10: Coll(-97,25,75,95,8,-128,125,-112,-81,65,64,112,95,124,82,78,32,57,-114,-76,13,-36,96,-40,-19,-7,105,-121,127,31,-58,-42)\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: 6\n22: 1000\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: 5\n59: 6\n60: 7\n61: 1000\n62: 1\n63: 1\n64: 980000\n65: 1000000\n66: CBigInt(1)\n67: 0\n68: 0\n69: 0\n70: 0\n71: -1\n72: 1\n73: 1\n74: 2000000\n75: 0\n76: 0\n77: 0\n78: true\n79: 0\n80: 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))\n val l36 = coll5(placeholder[Int](19))\n val l37 = l35 + l36\n val l38 = coll5(placeholder[Int](20))\n val l39 = coll5(placeholder[Int](21))\n val bi40 = bi24 * bi22 / bi21\n val bi41 = if (l34 < l37) {(\n val i41 = placeholder[Int](22)\n bi40 * l39.toBigInt + i41.toBigInt / i41.toBigInt\n )} else { bi40 }\n val box42 = coll28.getOrElse(placeholder[Int](23), SELF)\n val coll43 = box42.tokens\n val tuple44 = coll43(placeholder[Int](24))\n val func45 = {(box45: Box) =>\n val coll47 = box45.propositionBytes\n val coll48 = blake2b256(coll47)\n val bool49 = coll48 == coll4\n bool49\n }\n val coll46 = OUTPUTS.filter(func45)\n val box47 = coll46.getOrElse(placeholder[Int](25), SELF)\n val coll48 = box47.tokens\n val tuple49 = coll48(placeholder[Int](26))\n if (coll2.size > placeholder[Int](27)) {(\n val func50 = func15\n val coll51 = coll16\n val func52 = func27\n val coll53 = coll28\n val box54 = coll2.getOrElse(placeholder[Int](28), SELF)\n val coll55 = box54.R4[Coll[Long]].get\n val l56 = coll55(placeholder[Int](29))\n val l57 = coll55(placeholder[Int](30))\n if (coll51.size > placeholder[Int](31)) {(\n val box58 = box17\n val l59 = box58.value\n val coll60 = coll18\n val tuple61 = tuple19\n val coll62 = box58.R8[Coll[Byte]].get\n val bool63 = (\n (\n ((((l59 >= l6) && (tuple61._1 == coll9)) && (box58.R4[Coll[Byte]].get == coll10)) && (box58.R5[GroupElement].get == ge11)) && (\n box58.R7[Coll[Byte]].get == coll1\n )\n ) && (coll12 == coll62)\n ) && (\n OUTPUTS.map({(box63: Box) => box63.id }).indexOf(box58.id, placeholder[Int](32)) == box54.R9[Coll[Int]].get(placeholder[Int](33)) - placeholder[Int](34)\n )\n val l64 = box58.R6[Long].get\n val coll65 = box58.R9[Coll[Long]].get\n val bool66 = coll65 == coll5\n if (coll53.size > placeholder[Int](35)) {(\n val bi67 = l20.toBigInt\n val box68 = box29\n val coll69 = coll30\n val tuple70 = coll69(placeholder[Int](36))\n val tuple71 = tuple31\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (((bool63 && (l59 >= l14)) && (l59 <= l14 + placeholder[Long](37))) && (bi67 >= bi24 - tuple70._2.toBigInt * bi21 / bi22)) && (\n coll60.slice(placeholder[Int](38), coll60.size) == coll25\n )\n ) && (l64 == l13)\n ) && bool66\n ) && (((box68.value >= placeholder[Long](39)) && (tuple71._1 == coll9)) && (tuple70._1 == coll26))\n ) && (tuple71._2 == l23 - l20)\n ) && (l56.toBigInt >= bi67 * bi22 / bi21 * l32.toBigInt / placeholder[Int](40).toBigInt)\n ) && bool33\n ) && (l34 >= l37)\n )\n )} else {(\n val bi67 = l56.toBigInt\n val i68 = placeholder[Int](41)\n val bi69 = l20.toBigInt * bi22 / bi21 * l32.toBigInt / i68.toBigInt\n val bool70 = bi67 >= bi69\n sigmaProp(\n (\n (\n (\n ((((bool63 && (l59 >= l14 - placeholder[Long](42))) && (l59 <= l14 + placeholder[Long](43))) && (coll60 == coll7)) && (l64 > l34 + l38)) && (\n l64 < l34 + l38 + placeholder[Long](44)\n )\n ) && (bi67 < bi69)\n ) && bool66\n ) && bool33\n ) || sigmaProp(\n (\n (\n (\n (\n (((bool63 && (l59 >= l14 - placeholder[Long](45))) && (l59 <= l14 + placeholder[Long](46))) && (coll60 == coll7)) && (\n l13 != placeholder[Long](47)\n )\n ) && (l64 == placeholder[Long](48))\n ) && bool70\n ) && bool66\n ) && bool33\n ) || sigmaProp(INPUTS.filter({(box71: Box) =>\n val coll73 = box71.tokens\n (coll73.size > placeholder[Int](49)) && (coll73(placeholder[Int](50))._1 == coll62)\n }).size > placeholder[Int](51)) || proveDlog(ge11) && sigmaProp(\n (\n (\n (\n (\n (\n (\n ((((bool63 && (bi67 >= bi41 * l57.toBigInt / i68.toBigInt)) && (tuple61 == tuple8)) && (l64 == placeholder[Long](52))) && bool70) && (\n (coll65(placeholder[Int](53)) == l57) && (coll65(placeholder[Int](54)) == coll55(placeholder[Int](55)))\n )\n ) && bool33\n ) && (coll65(placeholder[Int](56)) == l38)\n ) && (coll65(placeholder[Int](57)) == l6)\n ) && (coll65(placeholder[Int](58)) == l35)\n ) && (coll65(placeholder[Int](59)) == l39)\n ) && (coll65(placeholder[Int](60)) == l36)\n )\n )}\n )} else {(\n val bi58 = l56.toBigInt\n val i59 = placeholder[Int](61)\n val box60 = box42\n val coll61 = coll43\n val tuple62 = tuple44\n val tuple63 = coll61(placeholder[Int](62))\n val coll64 = SELF.id\n val bi65 = bi58 - bi41\n val bi66 = coll5(placeholder[Int](63)).toBigInt\n val bi67 = bi65 * i59.toBigInt - bi66 / i59.toBigInt\n val l68 = tuple63._2\n sigmaProp(\n (\n (\n (\n (\n (((bi58 <= bi41 * l32.toBigInt / i59.toBigInt) && (l34 >= l13)) || (l34 > SELF.creationInfo._1.toLong + placeholder[Long](64))) && (\n (((box60.value >= placeholder[Long](65)) && (tuple62._1 == coll9)) && (tuple63._1 == coll26)) && (box60.id != coll64)\n )\n ) && (tuple62._2 == l23)\n ) && if (bi67 < placeholder[BigInt](66)) { l68.toBigInt >= bi58 } else {(\n val box69 = OUTPUTS.filter({(box69: Box) => box69.propositionBytes == coll10 }).getOrElse(placeholder[Int](67), SELF)\n val tuple70 = box69.tokens(placeholder[Int](68))\n (((l68.toBigInt >= bi41 + bi65 * bi66 / i59.toBigInt) && (tuple70._2.toBigInt >= bi67)) && (tuple70._1 == coll26)) && (box69.id != coll64)\n )}\n ) && (\n INPUTS.map({(box69: Box) => box69.id }).indexOf(coll64, placeholder[Int](69)) == box54.R9[Coll[Int]].get(placeholder[Int](70)) * placeholder[Int](\n 71\n ) - placeholder[Int](72)\n )\n ) && bool33\n )\n )}\n )} else {(\n val func50 = func45\n val coll51 = coll46\n val box52 = box47\n val coll53 = coll48\n val tuple54 = tuple49\n val tuple55 = coll53(placeholder[Int](73))\n sigmaProp(\n (\n (\n (((((box52.value >= placeholder[Long](74)) && (tuple54._1 == coll9)) && (tuple55._1 == coll26)) && (box52.id != SELF.id)) && (tuple54._2 == l23)) && (\n tuple55._2.toBigInt > bi41\n )\n ) && if (INPUTS.filter({(box56: Box) =>\n val coll58 = box56.tokens\n (coll58.size > placeholder[Int](75)) && (coll58(placeholder[Int](76))._1 == coll12)\n }).size > placeholder[Int](77)) { placeholder[Boolean](78) } else {(\n val box56 = OUTPUTS.filter({(box56: Box) => box56.propositionBytes == coll10 }).getOrElse(placeholder[Int](79), SELF)\n ((box56.value >= l14 - placeholder[Long](80)) && (box56.tokens == coll25)) && (box56.id != SELF.id)\n )}\n ) && bool33\n )\n )}\n}",
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"type": "EIP-004"
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"ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
"address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
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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": "00c4d80d9e2ac35a032d05401175188b0b81c021bf4e9c1ec27266d524ad6def",
"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": "110a80a0b787e905a0eab0109e163c8087a70e1000641e80b48913",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,17177232,1423,30,15000000,8,0,50,15,20000000]"
}
},
"spentTransactionId": "077717c52da5f856f0e23333abb2696403902d4e4c6bdd99178dbecb5fe78f86",
"mainChain": true
},
{
"boxId": "5ae6231dc1656a22ad6801acaba6d3235f3af708e0871e1182ad92ebdaf5f6aa",
"transactionId": "73a4cf9ac73279d84aec8a10532eb28ae11a49cd34ec9b48a7da40a8dfd066d3",
"blockId": "bcaabc1ee90fb1871401b6d959c67370172f127fea1190fc7ab1fc2884b0a662",
"value": 1000000,
"index": 4,
"globalIndex": 52638899,
"creationHeight": 1689285,
"settlementHeight": 1689287,
"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": "d1bef403ca27d6294fb570bf592193797be9dbded317a6508e314eb50bb504b3",
"mainChain": true
}
],
"size": 5394,
"isUnconfirmed": false
}