Transaction
ID: cbb182564a...53c3
Inputs (3)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.21528227 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Unspent
Address:
Settlement height:
Value:
0.21328227 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
7
Unspent
Address:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 107,407
Total coins transferred: 0.21728227 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000215 ERG
Raw Transaction Data
{
"id": "cbb182564aa4d59f64bc95dca7525a71fb0c61b1944cdeb89ecffe5eaa3153c3",
"blockId": "357d1cfc6b599e055b291d34157eaefc85ff2e48d5acddbc44d4d8c0db4380d1",
"inclusionHeight": 1651720,
"timestamp": 1762605757549,
"index": 14,
"globalIndex": 9764406,
"numConfirmations": 107407,
"inputs": [
{
"boxId": "d8c6a30182c95fa418a5573bba7baefc0d7242f859ad0639c362f6588a09b82b",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "978cbea54168db1ba62643be7bf33bfff239c7b9fc96be0daa2bb16c30efdb18",
"outputTransactionId": "12bbc0b8eb43387bcc5c9e9bf5619b86a5e7cc6c791ea570bcf1c9eb21087f61",
"outputIndex": 0,
"outputGlobalIndex": 51432713,
"outputCreatedAt": 1651712,
"outputSettledAt": 1651713,
"ergoTree": "104304000400040004000402040204040404040604060580897a0607038d7ea4c68000058080d4aff9dcfc1f040004000e208baf2cdc3cca3d825c138342aeeaa1517665b9463ae991313f81cb59b8ca653a040006072386f26fc10000058080d4aff9dcfc1f040004000e206728c3c8025ff7679cbcaf34564c1464905df8e0d4e4375ea9064b8c40b5b4800400050005010e201bcb7fd706bd336746469b36259d75f85deb7d093630a075e7a1d5c530c2dc81059480d4aff9dcfc1f059480d4aff9dcfc1f04000400040004000404040204060580897a0408040a01000500040004000400040004000400040c0404040805000501058084af5f040204d00f04000400040004020580a4e8030400040204060404040a040604080100d821d601db6308a7d602b2b5a5d9010263d801d604db63087202ed91b17204730093b27204730100b27201730200730300d603db63087202d604b27203730400d605b27201730500d606b27203730600d607b27201730700d6088c720701d609b27203730800d60ab27201730900d60b8c720a01d60cededededededededededed93c27202c2a7938c7204018c720501938c720601720892c17202730a938c720901720b93b17203b17201e4c672020401e4c672020501e4c672020601e4c672020701e4c672020801e4c672020901d60d730bd60e8c720902d60f8c720602d61099730c720fd611db6501fed612e4c6b2b57211d9011263d801d614db63087212ed91b17214730d938cb27214730e0001730f7310000506d6137311d6149d9c7e72100672127213d6158c720a02d6168c720702d6179973127216d618b2b57211d9011863d801d61adb63087218ed91b1721a7313938cb2721a731400017315731600d619e4c67218050ed61ab5a5d9011a6393c2721a7219d61be4c672180611d61c99720e7215d61d91721c7317d61e95721d721c9c721c7318d61f9372047205d6209972107217d621b5a5d901216393cbc272217319d1ececededed720c9372067207919d9c720d9a7e720e0672147e99731a8c720402069d9c720d9a7e7215069d9c7e721706721272137e99731b8c720502069591b1721a731cd806d622b2721a731d00d623b2db63087222731e00d624b2721b731f00d625b2721b732000d626b2721b732100d627b2721b732200eded93c27222721992c172227323ed928c722302a29590721e72249d721e72259590721e72269a9d99721e722472279d722472259a9a9d9999721e72267224b2721b7324009d722672279d72247225b2721b732500938c722301720b7326ededed720c721f721d8f722073279591b172217328d80bd622b27221732900d623b2db63087222732a00d6248c722302d6259d9c7e72240672127213d626b2b5a5d9012663d801d628db63087226ed91b17228732baee4c67218041ad901290eed938cb27228732c00017229937229e4c67222070e732d00d627e4c672260411d628b27227732e00d629b27227732f00d62ac17222d62bb27227733000d62ce4c672220911edededededededededededed720c721f939a7224720f72168f721c7331ed937e9c721c73320672259272257e7228069372207224938c722301720893e4c6722206057333927eb27227733400069d9c72257e7229067e7335068f72147eb272277336000693dc0c1aada5d9012d63c5722d02c57222733799b2e4c6722609107338007339ed91722a733a92722a722bedededed93b2722c733b00722993b2722c733c00b27227733d0093b2722c733e00b27227733f0093b2722c734000722b93b2722c73410072287342",
"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(-117,-81,44,-36,60,-54,61,-126,92,19,-125,66,-82,-22,-95,81,118,101,-71,70,58,-23,-111,49,63,-127,-53,89,-72,-54,101,58)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(103,40,-61,-56,2,95,-9,103,-100,-68,-81,52,86,76,20,100,-112,93,-8,-32,-44,-28,55,94,-87,6,75,-116,64,-75,-76,-128)\n22: 0\n23: 0\n24: -1\n25: Coll(27,-53,127,-41,6,-67,51,103,70,70,-101,54,37,-99,117,-8,93,-21,125,9,54,48,-96,117,-25,-95,-43,-59,48,-62,-36,-127)\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: 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 (((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 ((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 )\n )} else { placeholder[Boolean](66) }\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "21afd2b1f23f88fdce6e2ca2996299206d03222cb5a265d38a7b97196f01c22e",
"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fe24d3da838eb718939b0f39e27d23c71409df9d8f577ef0f8cb07edc4181e7f",
"index": 1,
"amount": 8999999990000001,
"name": "Lend Token QUACKS - Beta-2.0",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "71ce49d7d6edd36d578d9068f84f6b77748aa2da9b26422dab9ead05ba7a1bb4",
"index": 2,
"amount": 9000000000000000,
"name": "Borrow Token QUACKS - Beta-2.0",
"decimals": 9,
"type": "EIP-004"
},
{
"tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
"index": 3,
"amount": 10000010,
"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": "bfb01d6209482294c16756cbad0946fb2e5995736dde3f11590c8b788632dafc",
"value": 215282270,
"index": 1,
"spendingProof": "3ada0fbf278a2702fbb76603c007bfb1f13dc8b578604b55a472f8ffdb4ee4f817d904f7511e02f94198bf2480e2136f4e37491ff468e5c8",
"outputBlockId": "8198aac224497e38e6ab70cfba7bb76a30ec75573ff20d28980112540813973c",
"outputTransactionId": "fe39508f1b3f829e7b21d7f74a97f69325eab1a2f4384993af9cb1abc85d7501",
"outputIndex": 0,
"outputGlobalIndex": 51432856,
"outputCreatedAt": 1651714,
"outputSettledAt": 1651716,
"ergoTree": "1002040a08cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b96ea02d191a373007301",
"ergoTreeConstants": "0: 5\n1: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))",
"ergoTreeScript": "{sigmaProp(HEIGHT > placeholder[Int](0)) && placeholder[SigmaProp](1)}",
"address": "4FC5u3BYWu1bhswdT57bK9DsLpx7NvfNAGmeuLZzT2SbkgjaHjiNu3egGkQho2jNLnqYKEvc",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "110680bfd60680bfd606b2163c108087a70e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[7000000,7000000,1433,30,8,15000000]"
},
"R6": {
"serializedValue": "049ed0c901",
"sigmaType": "SInt",
"renderedValue": "1651727"
},
"R8": {
"serializedValue": "0e20e199bfe8672f8c55bcdfba419dc428fccb4ea9635fa6e5bedfbbcb94d30a22f7",
"sigmaType": "Coll[SByte]",
"renderedValue": "e199bfe8672f8c55bcdfba419dc428fccb4ea9635fa6e5bedfbbcb94d30a22f7"
},
"R7": {
"serializedValue": "0e0100",
"sigmaType": "Coll[SByte]",
"renderedValue": "00"
},
"R9": {
"serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "SGroupElement",
"renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
}
},
{
"boxId": "60364f70341f25f961a6aef2011a839d5041c858ed1e69b1134341c6166784a2",
"value": 1000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "d15170c40a09d9ae7298f36fe26fd58ad3eb26ef286a65d47e9d064b10ed3aac",
"outputTransactionId": "b5e951a29e55e71c4dfba91c19f68df0017ecbae4fe5f0c6bb2bf5ede56f03fc",
"outputIndex": 0,
"outputGlobalIndex": 51430481,
"outputCreatedAt": 1651632,
"outputSettledAt": 1651633,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: -1\n9: 1\n10: 1\n11: CBigInt(0)\n12: CBigInt(2)\n13: CBigInt(100)\n14: CBigInt(1000)\n15: 0\n16: 2\n17: 5000000\n18: 1000000000000\n19: 1\n20: 2\n21: 1\n22: 3\n23: 30\n24: 0\n25: 0\n26: 2\n27: 1\n28: 2\n29: 1\n30: 0\n31: 2\n32: 0\n33: 1\n34: 0\n35: 0\n36: 4\n37: 4\n38: 5\n39: 5\n40: 6\n41: 6\n42: 0\n43: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS.filter({(box1: Box) =>\n val coll3 = box1.tokens\n (coll3.size > placeholder[Int](0)) && (coll3(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll2 = box1.R5[Coll[Coll[Byte]]].get\n val coll3 = box1.R6[Coll[Long]].get\n val coll4 = CONTEXT.dataInputs\n val coll5 = box1.R9[Coll[Int]].get\n val i6 = coll5(placeholder[Int](4))\n val box7 = coll4(i6)\n val coll8 = box7.tokens\n val i9 = coll5(placeholder[Int](5))\n val box10 = if (i9 > placeholder[Int](6)) { OUTPUTS(i9 - placeholder[Int](7)) } else { INPUTS(i9 * placeholder[Int](8) - placeholder[Int](9)) }\n val bi11 = box10.value.toBigInt\n val coll12 = coll4.slice(i6 + placeholder[Int](10), coll4.size)\n val coll13 = box1.R7[Coll[Long]].get\n val bi14 = placeholder[BigInt](11)\n val bi15 = placeholder[BigInt](12)\n val bi16 = placeholder[BigInt](13)\n val bi17 = placeholder[BigInt](14)\n val bi18 = bi11 + coll12.zip(coll13).fold(bi14, {(tuple18: (BigInt, (Box, Long))) =>\n val tuple20 = tuple18._2\n val l21 = tuple20._2\n val box22 = tuple20._1\n val bi23 = tuple18._1\n if (l21 > placeholder[Long](15)) {(\n val bi24 = l21.toBigInt\n val bi25 = box22.R4[Int].get.toBigInt\n val bi26 = box22.tokens(placeholder[Int](16))._2.toBigInt\n bi23 + box22.value.toBigInt * bi24 * bi25 / bi26 + bi26 * bi15 / bi16 * bi17 + bi24 * bi25\n )} else { bi23 }\n }) - placeholder[Int](17).toBigInt\n val bi19 = box7.R4[Int].get.toBigInt\n val bi20 = box7.value.toBigInt\n val coll21 = box1.R4[Coll[Long]].get\n val l22 = placeholder[Long](18)\n val coll23 = box10.tokens\n val i24 = coll23.size\n val coll25 = box1.R8[Coll[Coll[Byte]]].get\n val coll26 = coll2.slice(placeholder[Int](19), coll2.size)\n val i27 = coll12.size\n val i28 = coll13.size\n val coll29 = SELF.R4[Coll[Long]].get\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box1.propositionBytes == SELF.propositionBytes) && (\n (coll2 == SELF.R5[Coll[Coll[Byte]]].get) && (coll3 == SELF.R6[Coll[Long]].get)\n )\n ) && (\n coll8(placeholder[Int](20))._2.toBigInt * bi18 * bi19 / bi20 + bi20 * bi15 / bi16 * bi17 + bi18 * bi19 == coll21(\n placeholder[Int](21)\n ).toBigInt\n )\n ) && (coll21(placeholder[Int](22)) == placeholder[Long](23))\n ) && (bi11 * l22.toBigInt * coll3(placeholder[Int](24)).toBigInt / bi18 + coll13.indices.fold(bi14, {(tuple30: (BigInt, Int)) =>\n val i32 = tuple30._2\n val l33 = coll13(i32)\n val bi34 = tuple30._1\n if (l33 > placeholder[Long](25)) {(\n val box35 = coll12(i32)\n val bi36 = l33.toBigInt\n val bi37 = box35.R4[Int].get.toBigInt\n val bi38 = box35.tokens(placeholder[Int](26))._2.toBigInt\n bi34 + box35.value.toBigInt * bi36 * bi37 / bi38 + bi38 * bi15 / bi16 * bi17 + bi36 * bi37 * l22.toBigInt * coll3.slice(placeholder[Int](27), coll3.size)(i32).toBigInt / bi18\n )} else { bi34 }\n }) / l22.toBigInt == coll21(placeholder[Int](28)).toBigInt)\n ) && coll23.slice(placeholder[Int](29), i24).forall(\n {(tuple30: (Coll[Byte], Long)) => coll25.zip(coll13).exists({(tuple32: (Coll[Byte], Long)) => tuple32 == tuple30 }) }\n )\n ) && coll26.indices.forall({(i30: Int) =>\n val coll32 = coll12(i30).tokens\n (coll26(i30) == coll32(placeholder[Int](30))._1) && (coll25(i30) == coll32(placeholder[Int](31))._1)\n })\n ) && ((i27 == i28) && (i27 == coll26.size))\n ) && (i28 == coll25.size)\n ) && (coll13.filter({(l30: Long) => l30 == placeholder[Long](32) }).size == i28 - i24 - placeholder[Int](33))\n ) && (coll29(placeholder[Int](34)) == coll21(placeholder[Int](35)))\n ) && (coll29(placeholder[Int](36)) == coll21(placeholder[Int](37)))\n ) && (coll29(placeholder[Int](38)) == coll21(placeholder[Int](39)))\n ) && (coll29(placeholder[Int](40)) == coll21(placeholder[Int](41)))\n ) && (coll8(placeholder[Int](42))._1 == coll2(placeholder[Int](43)))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "e199bfe8672f8c55bcdfba419dc428fccb4ea9635fa6e5bedfbbcb94d30a22f7",
"index": 0,
"amount": 1,
"name": "Logic NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110780a0b787e90500003c8087a70e1000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,0,0,30,15000000,8,0]"
},
"R5": {
"serializedValue": "1a012046463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[46463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1]"
},
"R6": {
"serializedValue": "1101f015",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1400]"
}
}
}
],
"dataInputs": [
{
"boxId": "d096cd5d6e5a16cef6b525c91e42f5a389fc89129270ec9325304af612e8133c",
"value": 1000000,
"index": 0,
"outputBlockId": "d15170c40a09d9ae7298f36fe26fd58ad3eb26ef286a65d47e9d064b10ed3aac",
"outputTransactionId": "94ccdefa18eddd47ead7afe4c9651e6bb682651f6e014c7b89a1314d3c5dfea7",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "05dccec901",
"sigmaType": "SLong",
"renderedValue": "1651630"
},
"R5": {
"serializedValue": "06072386f26fc10000",
"sigmaType": "SBigInt",
"renderedValue": "CBigInt(10000000000000000)"
}
}
},
{
"boxId": "c7fecd741cf39231fe2d2f6a63e4760450b75ab92cc35b1c0eebe88c97561cbc",
"value": 1000000,
"index": 1,
"outputBlockId": "d15170c40a09d9ae7298f36fe26fd58ad3eb26ef286a65d47e9d064b10ed3aac",
"outputTransactionId": "984e201a91d9e0120d61c08dda8e94e485376477eeed19496844681dd9c5a006",
"outputIndex": 0,
"ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
"address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e199bfe8672f8c55bcdfba419dc428fccb4ea9635fa6e5bedfbbcb94d30a22f7",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e199bfe8672f8c55bcdfba419dc428fccb4ea9635fa6e5bedfbbcb94d30a22f7]"
},
"R5": {
"serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
"sigmaType": "Coll[SByte]",
"renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
},
"R6": {
"serializedValue": "1106a01f80b518c0029003f40302",
"sigmaType": "Coll[SLong]",
"renderedValue": "[2000,200000,160,200,250,1]"
}
}
},
{
"boxId": "0eb26e08316793e6b0424fcc29d272de35a94c4543bdc579ffcc684f43faf8f0",
"value": 17118594268119,
"index": 2,
"outputBlockId": "459633e55b619bc90c892492fba5931e0e5fd03ae92e4b90702a7b6781205887",
"outputTransactionId": "55a23fc3b209799222deeda460b1795c20a502f019df39683e1a7bbd1fd0fa0a",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
}
],
"outputs": [
{
"boxId": "2aa246d4fb7ca2346952ca2b10c9323268ea299873a1f225a72822176081019a",
"transactionId": "cbb182564aa4d59f64bc95dca7525a71fb0c61b1944cdeb89ecffe5eaa3153c3",
"blockId": "357d1cfc6b599e055b291d34157eaefc85ff2e48d5acddbc44d4d8c0db4380d1",
"value": 1000000,
"index": 0,
"globalIndex": 51432935,
"creationHeight": 1651719,
"settlementHeight": 1651720,
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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(-117,-81,44,-36,60,-54,61,-126,92,19,-125,66,-82,-22,-95,81,118,101,-71,70,58,-23,-111,49,63,-127,-53,89,-72,-54,101,58)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(103,40,-61,-56,2,95,-9,103,-100,-68,-81,52,86,76,20,100,-112,93,-8,-32,-44,-28,55,94,-87,6,75,-116,64,-75,-76,-128)\n22: 0\n23: 0\n24: -1\n25: Coll(27,-53,127,-41,6,-67,51,103,70,70,-101,54,37,-99,117,-8,93,-21,125,9,54,48,-96,117,-25,-95,-43,-59,48,-62,-36,-127)\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: 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 (((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 ((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 )\n )} else { placeholder[Boolean](66) }\n )\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Pool NFT QUACKS - Beta-2.0",
"decimals": 0,
"type": "EIP-004"
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{
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{
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"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": {
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"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R9": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
},
"R4": {
"serializedValue": "0101",
"sigmaType": "SBoolean",
"renderedValue": "true"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
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"transactionId": "cbb182564aa4d59f64bc95dca7525a71fb0c61b1944cdeb89ecffe5eaa3153c3",
"blockId": "357d1cfc6b599e055b291d34157eaefc85ff2e48d5acddbc44d4d8c0db4380d1",
"value": 213282270,
"index": 1,
"globalIndex": 51432936,
"creationHeight": 1651719,
"settlementHeight": 1651720,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-51,60,112,103,-66,102,46,-2,-1,36,-23,-99,-27,-111,-93,-63,89,11,102,-12,59,18,-85,-12,-56,-78,7,83,33,-68,62,34)\n3: 3\n4: 0\n5: 0\n6: 0\n7: CBigInt(10000000000000000)\n8: 0\n9: 0\n10: Coll(-117,-81,44,-36,60,-54,61,-126,92,19,-125,66,-82,-22,-95,81,118,101,-71,70,58,-23,-111,49,63,-127,-53,89,-72,-54,101,58)\n11: 0\n12: 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)\n13: 0\n14: 0\n15: 0\n16: 1\n17: 2\n18: 0\n19: 0\n20: 0\n21: 0\n22: 1\n23: 2\n24: 0\n25: 0\n26: 0\n27: 1\n28: 0\n29: 1\n30: 10000000\n31: 1\n32: 1\n33: 1000000\n34: 1000\n35: 1000\n36: 1000000\n37: 10000000\n38: 5\n39: 1000000\n40: 10000000\n41: 100000000\n42: 100000000\n43: 0\n44: 0\n45: 0\n46: 100000000\n47: 0\n48: 1\n49: 3\n50: 2\n51: 3\n52: 1000\n53: 1\n54: 1\n55: 980000\n56: 1000000\n57: CBigInt(1)\n58: 0\n59: 0\n60: 0\n61: 0\n62: -1\n63: 1\n64: true",
"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 l12 = SELF.R6[Long].get\n val l13 = SELF.value\n val func14 = {(box14: Box) =>\n val coll16 = box14.propositionBytes\n val bool17 = coll16 == coll3\n bool17\n }\n val coll15 = OUTPUTS.filter(func14)\n val box16 = coll15(placeholder[Int](5))\n val coll17 = box16.tokens\n val tuple18 = coll17(placeholder[Int](6))\n val l19 = tuple18._2\n val bi20 = placeholder[BigInt](7)\n val bi21 = CONTEXT.dataInputs.filter({(box21: Box) =>\n val coll23 = box21.tokens\n (coll23.size > placeholder[Int](8)) && (coll23(placeholder[Int](9))._1 == placeholder[Coll[Byte]](10))\n })(placeholder[Int](11)).R5[BigInt].get\n val l22 = tuple8._2\n val bi23 = l22.toBigInt\n val coll24 = placeholder[Coll[Byte]](12)\n val func25 = {(box25: Box) =>\n val coll27 = box25.propositionBytes\n val coll28 = blake2b256(coll27)\n val bool29 = coll28 == coll4\n bool29\n }\n val coll26 = OUTPUTS.filter(func25)\n val box27 = coll26(placeholder[Int](13))\n val coll28 = box27.tokens\n val tuple29 = coll28(placeholder[Int](14))\n val l30 = coll5(placeholder[Int](15))\n val bool31 = INPUTS.filter({(box31: Box) => box31.propositionBytes == coll3 }).size == placeholder[Int](16)\n val l32 = coll5(placeholder[Int](17))\n val bi33 = bi23 * bi21 / bi20\n val box34 = coll26(placeholder[Int](18))\n val coll35 = box34.tokens\n val tuple36 = coll35(placeholder[Int](19))\n if (coll2.size > placeholder[Int](20)) {(\n val func37 = func14\n val coll38 = coll15\n val func39 = func25\n val coll40 = coll26\n val box41 = coll2(placeholder[Int](21))\n val coll42 = box41.R4[Coll[Long]].get\n val l43 = coll42(placeholder[Int](22))\n val l44 = coll42(placeholder[Int](23))\n if (coll38.size > placeholder[Int](24)) {(\n val box45 = box16\n val l46 = box45.value\n val coll47 = coll17\n val tuple48 = tuple18\n val coll49 = box45.R8[Coll[Byte]].get\n val bool50 = (\n (\n ((((l46 >= l6) && (tuple48._1 == coll9)) && (box45.R4[Coll[Byte]].get == coll10)) && (box45.R5[GroupElement].get == ge11)) && (\n box45.R7[Coll[Byte]].get == coll1\n )\n ) && (SELF.R8[Coll[Byte]].get == coll49)\n ) && (\n OUTPUTS.map({(box50: Box) => box50.id }).indexOf(box45.id, placeholder[Int](25)) == box41.R9[Coll[Int]].get(placeholder[Int](26)) - placeholder[Int](27)\n )\n val l51 = box45.R6[Long].get\n val coll52 = box45.R9[Coll[Long]].get\n val bool53 = coll52 == coll5\n if (coll40.size > placeholder[Int](28)) {(\n val bi54 = l19.toBigInt\n val box55 = box27\n val coll56 = coll28\n val tuple57 = coll56(placeholder[Int](29))\n val tuple58 = tuple29\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (((bool50 && (l46 >= l13)) && (l46 <= l13 + placeholder[Long](30))) && (bi54 >= bi23 - tuple57._2.toBigInt * bi20 / bi21)) && (\n coll47.slice(placeholder[Int](31), coll47.size) == coll7.slice(placeholder[Int](32), coll7.size)\n )\n ) && (l51 == l12)\n ) && bool53\n ) && (((box55.value >= placeholder[Long](33)) && (tuple58._1 == coll9)) && (tuple57._1 == coll24))\n ) && (tuple58._2 == l22 - l19)\n ) && (l43.toBigInt >= bi54 * bi21 / bi20 * l30.toBigInt / placeholder[Int](34).toBigInt)\n ) && bool31\n )\n )} else {(\n val bi54 = l43.toBigInt\n val i55 = placeholder[Int](35)\n val bi56 = l19.toBigInt * bi21 / bi20 * l30.toBigInt / i55.toBigInt\n val bool57 = bi54 >= bi56\n sigmaProp(\n (\n (\n (\n (\n (((bool50 && (l46 >= l13 - placeholder[Long](36))) && (l46 <= l13 + placeholder[Long](37))) && (coll47 == coll7)) && (\n l51 > HEIGHT.toLong + l32\n )\n ) && (l51 < HEIGHT.toLong + l32 + placeholder[Long](38))\n ) && (bi54 < bi56)\n ) && bool53\n ) && bool31\n ) || sigmaProp(\n (\n (\n (\n (\n (((bool50 && (l46 >= l13 - placeholder[Long](39))) && (l46 <= l13 + placeholder[Long](40))) && (coll47 == coll7)) && (\n l12 != placeholder[Long](41)\n )\n ) && (l51 == placeholder[Long](42))\n ) && bool57\n ) && bool53\n ) && bool31\n ) || sigmaProp(INPUTS.filter({(box58: Box) =>\n val coll60 = box58.tokens\n (coll60.size > placeholder[Int](43)) && (coll60(placeholder[Int](44))._1 == coll49)\n }).size > placeholder[Int](45)) || proveDlog(ge11) && sigmaProp(\n (\n (\n (\n ((((bool50 && (bi54 >= bi33 * l44.toBigInt / i55.toBigInt)) && (tuple48 == tuple8)) && (l51 == placeholder[Long](46))) && bool57) && (\n (coll52(placeholder[Int](47)) == l44) && (coll52(placeholder[Int](48)) == coll42(placeholder[Int](49)))\n )\n ) && bool31\n ) && (coll52(placeholder[Int](50)) == l32)\n ) && (coll52(placeholder[Int](51)) == l6)\n )\n )}\n )} else {(\n val bi45 = l43.toBigInt\n val i46 = placeholder[Int](52)\n val box47 = box34\n val coll48 = coll35\n val tuple49 = tuple36\n val tuple50 = coll48(placeholder[Int](53))\n val bi51 = bi45 - bi33\n val bi52 = coll5(placeholder[Int](54)).toBigInt\n val bi53 = bi51 * i46.toBigInt - bi52 / i46.toBigInt\n val l54 = tuple50._2\n sigmaProp(\n (\n (\n (\n (\n (\n ((bi45 <= bi33 * l30.toBigInt / i46.toBigInt) && (HEIGHT.toLong >= l12)) || (\n HEIGHT.toLong > SELF.creationInfo._1.toLong + placeholder[Long](55)\n )\n ) && (((box47.value >= placeholder[Long](56)) && (tuple49._1 == coll9)) && (tuple50._1 == coll24))\n ) && (tuple49._2 == l22)\n ) && if (bi53 < placeholder[BigInt](57)) { l54.toBigInt >= bi45 } else {(\n val tuple55 = OUTPUTS.filter({(box55: Box) => box55.propositionBytes == coll10 })(placeholder[Int](58)).tokens(placeholder[Int](59))\n ((l54.toBigInt >= bi33 + bi51 * bi52 / i46.toBigInt) && (tuple55._2.toBigInt >= bi53)) && (tuple55._1 == coll24)\n )}\n ) && (\n INPUTS.map({(box55: Box) => box55.id }).indexOf(SELF.id, placeholder[Int](60)) == box41.R9[Coll[Int]].get(placeholder[Int](61)) * placeholder[Int](\n 62\n ) - placeholder[Int](63)\n )\n ) && bool31\n )\n )}\n )} else { sigmaProp(placeholder[Boolean](64)) }\n}",
"address": "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",
"assets": [
{
"tokenId": "71ce49d7d6edd36d578d9068f84f6b77748aa2da9b26422dab9ead05ba7a1bb4",
"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": "0e20e199bfe8672f8c55bcdfba419dc428fccb4ea9635fa6e5bedfbbcb94d30a22f7",
"sigmaType": "Coll[SByte]",
"renderedValue": "e199bfe8672f8c55bcdfba419dc428fccb4ea9635fa6e5bedfbbcb94d30a22f7"
},
"R9": {
"serializedValue": "1105b2163c108087a70e00",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1433,30,8,15000000,0]"
},
"R4": {
"serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "f76d5bc1fd17ff7610b11b4a7ccd8fc91f6042c1b57e2a5d6aa141ca05edd8c1",
"transactionId": "cbb182564aa4d59f64bc95dca7525a71fb0c61b1944cdeb89ecffe5eaa3153c3",
"blockId": "357d1cfc6b599e055b291d34157eaefc85ff2e48d5acddbc44d4d8c0db4380d1",
"value": 1000000,
"index": 2,
"globalIndex": 51432937,
"creationHeight": 1651719,
"settlementHeight": 1651720,
"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": "0e20bfb01d6209482294c16756cbad0946fb2e5995736dde3f11590c8b788632dafc",
"sigmaType": "Coll[SByte]",
"renderedValue": "bfb01d6209482294c16756cbad0946fb2e5995736dde3f11590c8b788632dafc"
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"spentTransactionId": "cd85394d77c9403359a766ef03a2f8e7ae3c5b1fa22658aa02c68076b071ceff",
"mainChain": true
},
{
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"blockId": "357d1cfc6b599e055b291d34157eaefc85ff2e48d5acddbc44d4d8c0db4380d1",
"value": 1000000,
"index": 3,
"globalIndex": 51432938,
"creationHeight": 1651719,
"settlementHeight": 1651720,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: -1\n9: 1\n10: 1\n11: CBigInt(0)\n12: CBigInt(2)\n13: CBigInt(100)\n14: CBigInt(1000)\n15: 0\n16: 2\n17: 5000000\n18: 1000000000000\n19: 1\n20: 2\n21: 1\n22: 3\n23: 30\n24: 0\n25: 0\n26: 2\n27: 1\n28: 2\n29: 1\n30: 0\n31: 2\n32: 0\n33: 1\n34: 0\n35: 0\n36: 4\n37: 4\n38: 5\n39: 5\n40: 6\n41: 6\n42: 0\n43: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS.filter({(box1: Box) =>\n val coll3 = box1.tokens\n (coll3.size > placeholder[Int](0)) && (coll3(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n })(placeholder[Int](3))\n val coll2 = box1.R5[Coll[Coll[Byte]]].get\n val coll3 = box1.R6[Coll[Long]].get\n val coll4 = CONTEXT.dataInputs\n val coll5 = box1.R9[Coll[Int]].get\n val i6 = coll5(placeholder[Int](4))\n val box7 = coll4(i6)\n val coll8 = box7.tokens\n val i9 = coll5(placeholder[Int](5))\n val box10 = if (i9 > placeholder[Int](6)) { OUTPUTS(i9 - placeholder[Int](7)) } else { INPUTS(i9 * placeholder[Int](8) - placeholder[Int](9)) }\n val bi11 = box10.value.toBigInt\n val coll12 = coll4.slice(i6 + placeholder[Int](10), coll4.size)\n val coll13 = box1.R7[Coll[Long]].get\n val bi14 = placeholder[BigInt](11)\n val bi15 = placeholder[BigInt](12)\n val bi16 = placeholder[BigInt](13)\n val bi17 = placeholder[BigInt](14)\n val bi18 = bi11 + coll12.zip(coll13).fold(bi14, {(tuple18: (BigInt, (Box, Long))) =>\n val tuple20 = tuple18._2\n val l21 = tuple20._2\n val box22 = tuple20._1\n val bi23 = tuple18._1\n if (l21 > placeholder[Long](15)) {(\n val bi24 = l21.toBigInt\n val bi25 = box22.R4[Int].get.toBigInt\n val bi26 = box22.tokens(placeholder[Int](16))._2.toBigInt\n bi23 + box22.value.toBigInt * bi24 * bi25 / bi26 + bi26 * bi15 / bi16 * bi17 + bi24 * bi25\n )} else { bi23 }\n }) - placeholder[Int](17).toBigInt\n val bi19 = box7.R4[Int].get.toBigInt\n val bi20 = box7.value.toBigInt\n val coll21 = box1.R4[Coll[Long]].get\n val l22 = placeholder[Long](18)\n val coll23 = box10.tokens\n val i24 = coll23.size\n val coll25 = box1.R8[Coll[Coll[Byte]]].get\n val coll26 = coll2.slice(placeholder[Int](19), coll2.size)\n val i27 = coll12.size\n val i28 = coll13.size\n val coll29 = SELF.R4[Coll[Long]].get\n sigmaProp(\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (\n (box1.propositionBytes == SELF.propositionBytes) && (\n (coll2 == SELF.R5[Coll[Coll[Byte]]].get) && (coll3 == SELF.R6[Coll[Long]].get)\n )\n ) && (\n coll8(placeholder[Int](20))._2.toBigInt * bi18 * bi19 / bi20 + bi20 * bi15 / bi16 * bi17 + bi18 * bi19 == coll21(\n placeholder[Int](21)\n ).toBigInt\n )\n ) && (coll21(placeholder[Int](22)) == placeholder[Long](23))\n ) && (bi11 * l22.toBigInt * coll3(placeholder[Int](24)).toBigInt / bi18 + coll13.indices.fold(bi14, {(tuple30: (BigInt, Int)) =>\n val i32 = tuple30._2\n val l33 = coll13(i32)\n val bi34 = tuple30._1\n if (l33 > placeholder[Long](25)) {(\n val box35 = coll12(i32)\n val bi36 = l33.toBigInt\n val bi37 = box35.R4[Int].get.toBigInt\n val bi38 = box35.tokens(placeholder[Int](26))._2.toBigInt\n bi34 + box35.value.toBigInt * bi36 * bi37 / bi38 + bi38 * bi15 / bi16 * bi17 + bi36 * bi37 * l22.toBigInt * coll3.slice(placeholder[Int](27), coll3.size)(i32).toBigInt / bi18\n )} else { bi34 }\n }) / l22.toBigInt == coll21(placeholder[Int](28)).toBigInt)\n ) && coll23.slice(placeholder[Int](29), i24).forall(\n {(tuple30: (Coll[Byte], Long)) => coll25.zip(coll13).exists({(tuple32: (Coll[Byte], Long)) => tuple32 == tuple30 }) }\n )\n ) && coll26.indices.forall({(i30: Int) =>\n val coll32 = coll12(i30).tokens\n (coll26(i30) == coll32(placeholder[Int](30))._1) && (coll25(i30) == coll32(placeholder[Int](31))._1)\n })\n ) && ((i27 == i28) && (i27 == coll26.size))\n ) && (i28 == coll25.size)\n ) && (coll13.filter({(l30: Long) => l30 == placeholder[Long](32) }).size == i28 - i24 - placeholder[Int](33))\n ) && (coll29(placeholder[Int](34)) == coll21(placeholder[Int](35)))\n ) && (coll29(placeholder[Int](36)) == coll21(placeholder[Int](37)))\n ) && (coll29(placeholder[Int](38)) == coll21(placeholder[Int](39)))\n ) && (coll29(placeholder[Int](40)) == coll21(placeholder[Int](41)))\n ) && (coll8(placeholder[Int](42))._1 == coll2(placeholder[Int](43)))\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "e199bfe8672f8c55bcdfba419dc428fccb4ea9635fa6e5bedfbbcb94d30a22f7",
"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": "110780a0b787e905eef4c310b2163c8087a70e1000",
"sigmaType": "Coll[SLong]",
"renderedValue": "[100000000000,17333559,1433,30,15000000,8,0]"
}
},
"spentTransactionId": null,
"mainChain": true
},
{
"boxId": "ee24ad3ff64258a1b6bd325551bfa3931d57d4e16c4916e84940e88a3b6eb968",
"transactionId": "cbb182564aa4d59f64bc95dca7525a71fb0c61b1944cdeb89ecffe5eaa3153c3",
"blockId": "357d1cfc6b599e055b291d34157eaefc85ff2e48d5acddbc44d4d8c0db4380d1",
"value": 1000000,
"index": 4,
"globalIndex": 51432939,
"creationHeight": 1651719,
"settlementHeight": 1651720,
"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": "c8492ff35faf73056de1ccd7beea9a4de5b933f32a9e48cd3aa8ae7f97a3f919",
"mainChain": true
}
],
"size": 4656,
"isUnconfirmed": false
}