Ad
Inputs (3)
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.225 ERG
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Settlement height:
Value:
0.223 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
10
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 3.98 KB
Received time: 5/16/2025 10:47:35 AM
Included in blocks: 1,526,158
Confirmations: 252,326
Total coins transferred: 0.227 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000245 ERG
Raw Transaction Data
{
  "id": "28fd66debcf2ade8eb44b364b6a2400358d1576341d05b549810624e91e98bde",
  "blockId": "1dc42e2b1558911657077cb1f78019c1dea2b428d52a250738d6b92f0861d656",
  "inclusionHeight": 1526158,
  "timestamp": 1747392455693,
  "index": 7,
  "globalIndex": 8971197,
  "numConfirmations": 252326,
  "inputs": [
    {
      "boxId": "0272bbb615ba6b727cb3cc9ee3c7351eaa25129afce707971354ca7621b4f482",
      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "5904c0920f13e66dce2296ff2d7180cca25950a2f41898d9da1d5499993c5d5c",
      "outputTransactionId": "9ad3fc74729cdb0d5bc746f2594f46d4db385b29b335d58c795c8ad59352a04d",
      "outputIndex": 0,
      "outputGlobalIndex": 47901688,
      "outputCreatedAt": 1526118,
      "outputSettledAt": 1526120,
      "ergoTree": "103904000400040004000402040204040404040604060580897a0607038d7ea4c68000058080d4aff9dcfc1f040004000e20e813b3239bfa8061e885a2ec61d01f0424b6f2979601b2dcd148bb7685a3a73c040006072386f26fc10000058080d4aff9dcfc1f040004000e205314779fe0a9a7d30fb477cd81a340841c0612059fed6974da2b80d2f6106a880400050005010e20cc958c123b907a708b503a79f46557c9a7bc05000072ef434d08eb8e5a6b2a95059480d4aff9dcfc1f059480d4aff9dcfc1f04000400040004000404040204060580897a0408040a0100050004000400040004000400040005000501058084af5f0402040404d00f04000400040004020100d820d601db6308a7d602b2b5a5d9010263d801d604db63087202ed91b17204730093b27204730100b27201730200730300d603db63087202d604b27203730400d605b27201730500d606b27203730600d607b27201730700d608b27203730800d609b27201730900d60a8c720901d60bededededededededededed93c27202c2a7938c7204018c720501938c7206018c72070192c17202730a938c720801720a93b17203b17201e4c672020401e4c672020501e4c672020601e4c672020701e4c672020801e4c672020901d60c730bd60d8c720802d60e8c720602d60f99730c720ed610db6501fed611e4c6b2b57210d9011163d801d613db63087211ed91b17213730d938cb27213730e0001730f7310000506d6127311d6139d9c7e720f0672117212d6148c720902d6158c720702d6169973127215d617b2b57210d9011763d801d619db63087217ed91b172197313938cb27219731400017315731600d618e4c67217050ed619b5a5d901196393c272197218d61ae4c672170611d61b99720d7214d61c91721b7317d61d95721c721b9c721b7318d61e9372047205d61f99720f7216d620b5a5d901206393cbc272207319d1ececededed720b9372067207919d9c720c9a7e720d0672137e99731a8c720402069d9c720c9a7e7214069d9c7e721606721172127e99731b8c720502069591b17219731cd806d621b27219731d00d622b2db63087221731e00d623b2721a731f00d624b2721a732000d625b2721a732100d626b2721a732200eded93c27221721892c172217323ed928c722202a29590721d72239d721d72249590721d72259a9d99721d722372269d722372249a9a9d9999721d72257223b2721a7324009d722572269d72237224b2721a732500938c722201720a7326ededed720b721e721c8f721f73279591b172207328d805d621b27220732900d6228cb2db63087221732a0002d6239d9c7e72220672117212d624b2b5a5d9012463d801d626db63087224ed91b17226732baee4c67217041ad901270eed938cb27226732c00017227937227e4c67221070e732d00d625e4c672240411ededededededededed720b721e939a7222720e72158f721b732e937e9c721b732f06722393721f722293e4c6722106057330927eb27225733100069d9c72237eb27225733200067e7333068f72137eb272257334000693dc0c1aada5d9012663c5722602c57221733599b2e4c67224091073360073377338",
      "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(-24,19,-77,35,-101,-6,-128,97,-24,-123,-94,-20,97,-48,31,4,36,-74,-14,-105,-106,1,-78,-36,-47,72,-69,118,-123,-93,-89,60)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(83,20,119,-97,-32,-87,-89,-45,15,-76,119,-51,-127,-93,64,-124,28,6,18,5,-97,-19,105,116,-38,43,-128,-46,-10,16,106,-120)\n22: 0\n23: 0\n24: -1\n25: Coll(-52,-107,-116,18,59,-112,122,112,-117,80,58,121,-12,101,87,-55,-89,-68,5,0,0,114,-17,67,77,8,-21,-114,90,107,42,-107)\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: 0\n47: -1\n48: 100000000\n49: 1\n50: 2\n51: 1000\n52: 0\n53: 0\n54: 0\n55: 1\n56: false",
      "ergoTreeScript": "{\n  val coll1 = SELF.tokens\n  val box2 = OUTPUTS.filter({(box2: Box) =>\n      val coll4 = box2.tokens\n      (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == coll1(placeholder[Int](2)))\n    })(placeholder[Int](3))\n  val coll3 = box2.tokens\n  val tuple4 = coll3(placeholder[Int](4))\n  val tuple5 = coll1(placeholder[Int](5))\n  val tuple6 = coll3(placeholder[Int](6))\n  val tuple7 = coll1(placeholder[Int](7))\n  val tuple8 = coll3(placeholder[Int](8))\n  val tuple9 = coll1(placeholder[Int](9))\n  val coll10 = tuple9._1\n  val bool11 = (\n    (\n      (\n        (\n          (\n            (\n              (\n                (\n                  (((box2.propositionBytes == SELF.propositionBytes) && (tuple4._1 == tuple5._1)) && (tuple6._1 == tuple7._1)) && (\n                    box2.value >= placeholder[Long](10)\n                  )\n                ) && (tuple8._1 == coll10)\n              ) && (coll3.size == coll1.size)\n            ) && box2.R4[Boolean].get\n          ) && box2.R5[Boolean].get\n        ) && box2.R6[Boolean].get\n      ) && box2.R7[Boolean].get\n    ) && box2.R8[Boolean].get\n  ) && box2.R9[Boolean].get\n  val bi12 = placeholder[BigInt](11)\n  val l13 = tuple8._2\n  val l14 = tuple6._2\n  val l15 = placeholder[Long](12) - l14\n  val coll16 = CONTEXT.dataInputs\n  val bi17 = coll16.filter({(box17: Box) =>\n      val coll19 = box17.tokens\n      (coll19.size > placeholder[Int](13)) && (coll19(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15))\n    })(placeholder[Int](16)).R5[BigInt].get\n  val bi18 = placeholder[BigInt](17)\n  val bi19 = l15.toBigInt * bi17 / bi18\n  val l20 = tuple9._2\n  val l21 = tuple7._2\n  val l22 = placeholder[Long](18) - l21\n  val box23 = coll16.filter({(box23: Box) =>\n      val coll25 = box23.tokens\n      (coll25.size > placeholder[Int](19)) && (coll25(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n    })(placeholder[Int](22))\n  val coll24 = box23.R5[Coll[Byte]].get\n  val coll25 = OUTPUTS.filter({(box25: Box) => box25.propositionBytes == coll24 })\n  val coll26 = box23.R6[Coll[Long]].get\n  val l27 = l13 - l20\n  val bool28 = l27 > placeholder[Long](23)\n  val l29 = if (bool28) { l27 } else { l27 * placeholder[Long](24) }\n  val bool30 = tuple4 == tuple5\n  val l31 = l15 - l22\n  val coll32 = OUTPUTS.filter({(box32: Box) => blake2b256(box32.propositionBytes) == placeholder[Coll[Byte]](25) })\n  sigmaProp(\n    (\n      (\n        (\n          (bool11 && (tuple6 == tuple7)) && (\n            bi12 * l13.toBigInt + bi19 / placeholder[Long](26) - tuple4._2.toBigInt > bi12 * l20.toBigInt + l22.toBigInt * bi17 / bi18 / placeholder[Long](\n              27\n            ) - tuple5._2.toBigInt\n          )\n        ) && if (coll25.size > placeholder[Int](28)) {(\n          val box33 = coll25(placeholder[Int](29))\n          val tuple34 = box33.tokens(placeholder[Int](30))\n          val l35 = coll26(placeholder[Int](31))\n          val l36 = coll26(placeholder[Int](32))\n          val l37 = coll26(placeholder[Int](33))\n          val l38 = coll26(placeholder[Int](34))\n          ((box33.propositionBytes == coll24) && (box33.value >= placeholder[Long](35))) && (\n            (\n              tuple34._2 >= max(\n                if (l29 <= l35) { l29 / l36 } else {\n                  if (l29 <= l37) { l29 - l35 / l38 + l35 / l36 } else { l29 - l37 - l35 / coll26(placeholder[Int](36)) + l37 / l38 + l35 / l36 }\n                }, coll26(placeholder[Int](37))\n              )\n            ) && (tuple34._1 == coll10)\n          )\n        )} else { placeholder[Boolean](38) }\n      ) || (((bool11 && bool30) && bool28) && (l31 < placeholder[Long](39)))\n    ) || if (coll32.size > placeholder[Int](40)) {(\n      val box33 = coll32(placeholder[Int](41))\n      val l34 = box33.tokens(placeholder[Int](42))._2\n      val bi35 = l34.toBigInt * bi17 / bi18\n      val box36 = OUTPUTS.filter({(box36: Box) =>\n          val coll38 = box36.tokens\n          (coll38.size > placeholder[Int](43)) && box23.R4[Coll[Coll[Byte]]].get.exists({(coll39: Coll[Byte]) => (coll38(placeholder[Int](44))._1 == coll39) && (coll39 == box33.R7[Coll[Byte]].get) })\n        })(placeholder[Int](45))\n      val coll37 = box36.R4[Coll[Long]].get\n      (\n        (\n          (\n            (\n              ((((bool11 && bool30) && (l34 + l14 == l21)) && (l27 < placeholder[Long](46))) && (l27 * placeholder[Long](47).toBigInt == bi35)) && (l31 == l34)\n            ) && (box33.R6[Long].get == placeholder[Long](48))\n          ) && (coll37(placeholder[Int](49)).toBigInt >= bi35 * coll37(placeholder[Int](50)).toBigInt / placeholder[Int](51).toBigInt)\n        ) && (bi19 < coll37(placeholder[Int](52)).toBigInt)\n      ) && (\n        OUTPUTS.map({(box38: Box) => box38.id }).indexOf(box33.id, placeholder[Int](53)) == box36.R9[Coll[Int]].get(placeholder[Int](54)) - placeholder[Int](55)\n      )\n    )} else { placeholder[Boolean](56) }\n  )\n}",
      "address": "2zweQ48QaRWFHrEUxPRcWBuyQqZ35mJcnb9xGNKdboB2GYcxcy5DoL3f1UeW4kns1UWwdejdzuMt926ekJMDYR8sVNMts4i6mNWEzDr8sWcaqENGUgMfYpqFM8qSTyR8VobwDJ76mzu9fjoKYSfPZ3532dT56ap6kNDzNSYc9k9tTE8gwqf6XH5qumyWpYtxf1zDWTHo7YHsGb3PVgVoq5QtGuarxKPhpxJUDnuepYnVKhdUsfL5unLJNYbNYna48sKRjUonfMdThZWWQy5r7m3M2L8Hr1vQjoprxkHn3guRK9bGEP9amG97tD4Y497jQeSt2hgUcSZKzSiuN5KAMkDAqPJMdJ2EsjRezgA63Jp7BKvKAqYVrxJzaU33aZfYBHd9eTedtK1jBCQkP8HETPwaivP1Q8atU8F3PzBovE8aYkAWF2Q3esnpLeKGV2ob5erBLdLdB9v3ZpZZMRPaLDR2zJjSqamHCrF81i1mXxkqmihdvEhokTXrdmSVAjApGGCoprwcxdz4ckRdig9pnZNP9jrzrxoAtZfvRirUM1CeFAgTgDz9ERCWB1dad1vRCPUr6X2G92eRbFHt6XHAULoRXJWRbrEGQ2aG8wYX7b2n5itQGw18T7XguG4k2EPiJVMFrikK6TBxxKeqZZecHFLZ3katbANXtTieXzb22u6P8aU6rxxWYoxnH5n3deSaumc94JYnFFEPXVuQ3KCvVfryBEoi99qQJniZGEVU3DbzcrXjSScbhFiKnTrFwq6FaapQayf69KKkpnmzUj5DNZDh8YawEEoe7c3vfiXM8RpK6caDhcNH76FK6zDTokjCkER4ogDchSEpUfU9FsxCHGZ7QY8R1QnJu6anHfAtiRURwcVV3A1xLQL3G54HvKf7p86iz3ZZ4MTEPgAUeibcjgnpUYLvMZL6o1Vtf4ukUFnrmDA8W2oTbMy7taCZqFHEuSsgGhuGFXfyNWPbFAcJDcModCqSy4uDE13g7wKNr5c1j9p2vaAeryfgEow1y386spZ6sc889sD8JxUNkUwBR9BzMUNmSZb4cWJpaQvZbKzYf5qsFa5A6jdtxmtH1hLBB8L9Rq3rC9ddsTY5sGvEdce5zRMje8Zq6GRPCHcf31Soaah1ooddo5Tt3NFTPwY2VTRXpYZKoeFc6EK19g7qfMDD5VnscABAuBg9TXt7U4DfdMdJFj89NSX2DSSrYcFV5NQgoqgSoeVHYAUKLufLeCUsTZeSH5dgNBEbWRHzr2kbaSNJ68K1Sd3QvgTGMqwerhN9Af6SFhNkweHwzk3RjxAmyujbsUoHUZpuH4z94Wg9vrVas1LqLE1JXdoj2p2rZEM3cy1EReZC6zz18jpe8MbDKgQYTsCQXimZeC2oxejscSNTeNiwD4NnYc1P1XYViYFxYjMB3ViGZJMH1EgKSoa87pwVtDMKUdX2P9Qq4pP7wUvHAkrLpmJcjPHnGRyWLUgdg2NanatUo3bdgAZvdQBzDX82dQej81jc2ZepbWmpQpooq7rXuVhm23mgHAiE6MQZs7TZWLk9Kb1LEGr4ETfskEfUxxQePoWHzSn192kNvg5B9xEN",
      "assets": [
        {
          "tokenId": "1de594d252eac4ebdcbd822bfeed43d60d68c20a512f96b34171d27dc24bce14",
          "index": 0,
          "amount": 1,
          "name": "Pool NFT QUACKS-2.0",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "e60a5820605ecaa2c006583c4f47f52fa164af4b81d4fd89c2ea4e07bfd55baa",
          "index": 1,
          "amount": 9000000000000000,
          "name": "Lend Token QUACKS-2.0",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "5ef6a43fcf2fdfab2d2f208dfebfd92a21db3f2d6f1075aa3b2fbd0041a00078",
          "index": 2,
          "amount": 9000000000000000,
          "name": "Borrow Token QUACKS-2.0",
          "decimals": 9,
          "type": "EIP-004"
        },
        {
          "tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
          "index": 3,
          "amount": 12000010,
          "name": "QUACKS",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "1b7a2b0d573cb44ef379094a6ee527e944bb7940b572ea7a67fbc61b59f633a5",
      "value": 225000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "1d88fcd628044ad215c34de8f4ede0dc4271de266236a269977142e7ef2faaf6",
      "outputTransactionId": "95ad9f885c1781bdfc3f29f083ab741e8441cdce73220d0488d0155e9f22f7a3",
      "outputIndex": 0,
      "outputGlobalIndex": 47903307,
      "outputCreatedAt": 1526150,
      "outputSettledAt": 1526152,
      "ergoTree": "100201010415d1ed730091a37301",
      "ergoTreeConstants": "0: true\n1: -11",
      "ergoTreeScript": "{sigmaProp(placeholder[Boolean](0) && (HEIGHT > placeholder[Int](1)))}",
      "address": "ZX4bTHCJW2Kp6Fj4W75KWka2m",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
          "sigmaType": "SGroupElement",
          "renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
        },
        "R6": {
          "serializedValue": "04a6a6ba01",
          "sigmaType": "SInt",
          "renderedValue": "1526163"
        },
        "R8": {
          "serializedValue": "0e2045e4173ac6287f6e1f7b08ac22f89b16ba6c026877302fa777453a00a441a938",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "45e4173ac6287f6e1f7b08ac22f89b16ba6c026877302fa777453a00a441a938"
        },
        "R7": {
          "serializedValue": "110280dac40980dac409",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10000000,10000000]"
        },
        "R9": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
        }
      }
    },
    {
      "boxId": "de42541ff2f835c22fc19173d58d8956af16790ff76483844280ab3503ff771c",
      "value": 1000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "5904c0920f13e66dce2296ff2d7180cca25950a2f41898d9da1d5499993c5d5c",
      "outputTransactionId": "14511661ac850e7281bb0f18a00410ada48f2d23b234dcde242b5dd00c2e7276",
      "outputIndex": 0,
      "outputGlobalIndex": 47901680,
      "outputCreatedAt": 1526118,
      "outputSettledAt": 1526120,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: -1\n9: 1\n10: 1\n11: CBigInt(2)\n12: CBigInt(100)\n13: CBigInt(1000)\n14: CBigInt(0)\n15: 0\n16: 2\n17: 5000000\n18: 1\n19: 2\n20: 1\n21: 3\n22: 30\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: true\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS.filter({(box1: Box) =>\n      val coll3 = box1.tokens\n      (coll3.size > placeholder[Int](0)) && (coll3(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n    })(placeholder[Int](3))\n  val coll2 = box1.R5[Coll[Coll[Byte]]].get\n  val coll3 = CONTEXT.dataInputs\n  val coll4 = box1.R9[Coll[Int]].get\n  val i5 = coll4(placeholder[Int](4))\n  val box6 = coll3(i5)\n  val coll7 = box6.tokens\n  val i8 = coll4(placeholder[Int](5))\n  val box9 = if (i8 > placeholder[Int](6)) { OUTPUTS(i8 - placeholder[Int](7)) } else { INPUTS(i8 * placeholder[Int](8) - placeholder[Int](9)) }\n  val coll10 = coll3.slice(i5 + placeholder[Int](10), coll3.size)\n  val coll11 = box1.R7[Coll[Long]].get\n  val bi12 = placeholder[BigInt](11)\n  val bi13 = placeholder[BigInt](12)\n  val bi14 = placeholder[BigInt](13)\n  val bi15 = box9.value.toBigInt + coll10.zip(coll11).fold(placeholder[BigInt](14), {(tuple15: (BigInt, (Box, Long))) =>\n      val tuple17 = tuple15._2\n      val l18 = tuple17._2\n      val box19 = tuple17._1\n      val bi20 = tuple15._1\n      if (l18 > placeholder[Long](15)) {(\n        val bi21 = l18.toBigInt\n        val bi22 = box19.R4[Int].get.toBigInt\n        val bi23 = box19.tokens(placeholder[Int](16))._2.toBigInt\n        bi20 + box19.value.toBigInt * bi21 * bi22 / bi23 + bi23 * bi12 / bi13 * bi14 + bi21 * bi22\n      )} else { bi20 }\n    }) - placeholder[Int](17).toBigInt\n  val bi16 = box6.R4[Int].get.toBigInt\n  val bi17 = box6.value.toBigInt\n  val coll18 = box1.R4[Coll[Long]].get\n  val coll19 = box9.tokens\n  val i20 = coll19.size\n  val coll21 = box1.R8[Coll[Coll[Byte]]].get\n  val coll22 = coll2.slice(placeholder[Int](18), coll2.size)\n  val i23 = coll10.size\n  val i24 = coll11.size\n  sigmaProp(\n    (\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (box1.propositionBytes == SELF.propositionBytes) && (\n                        (coll2 == SELF.R5[Coll[Coll[Byte]]].get) && (box1.R6[Coll[Long]].get == SELF.R6[Coll[Long]].get)\n                      )\n                    ) && (\n                      coll7(placeholder[Int](19))._2.toBigInt * bi15 * bi16 / bi17 + bi17 * bi12 / bi13 * bi14 + bi15 * bi16 == coll18(\n                        placeholder[Int](20)\n                      ).toBigInt\n                    )\n                  ) && (coll18(placeholder[Int](21)) == placeholder[Long](22))\n                ) && coll19.slice(placeholder[Int](23), i20).forall(\n                  {(tuple25: (Coll[Byte], Long)) => coll21.zip(coll11).exists({(tuple27: (Coll[Byte], Long)) => tuple27 == tuple25 }) }\n                )\n              ) && coll22.indices.forall({(i25: Int) =>\n                  val coll27 = coll10(i25).tokens\n                  (coll22(i25) == coll27(placeholder[Int](24))._1) && (coll21(i25) == coll27(placeholder[Int](25))._1)\n                })\n            ) && ((i23 == i24) && (i23 == coll22.size))\n          ) && (i24 == coll21.size)\n        ) && (coll11.filter({(l25: Long) => l25 == placeholder[Long](26) }).size == i24 - i20 - placeholder[Int](27))\n      ) && placeholder[Boolean](28)\n    ) && (coll7(placeholder[Int](29))._1 == coll2(placeholder[Int](30)))\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "45e4173ac6287f6e1f7b08ac22f89b16ba6c026877302fa777453a00a441a938",
          "index": 0,
          "amount": 1,
          "name": "Logic NFT QUACKS-2.0",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "110180a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1000000000]"
        },
        "R5": {
          "serializedValue": "1a012046463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[46463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1]"
        },
        "R6": {
          "serializedValue": "1101f015",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1400]"
        }
      }
    }
  ],
  "dataInputs": [
    {
      "boxId": "a09a8e6af55d4cba08054a61924fc07cda9fb4e996afa0fee1e5f13b890693ed",
      "value": 1000000,
      "index": 0,
      "outputBlockId": "5904c0920f13e66dce2296ff2d7180cca25950a2f41898d9da1d5499993c5d5c",
      "outputTransactionId": "6d337ed9ce876c26355cd105f51cf781b4f24221029c3b1c1b181e855b4b2f6e",
      "outputIndex": 0,
      "ergoTree": "10140400058084af5f04020400058080d4aff9dcfc1f040405808088fccdbcc3230406048092f40104000402040404060408040a04f00104000e201de594d252eac4ebdcbd822bfeed43d60d68c20a512f96b34171d27dc24bce1404000e20b25b99782336763f41392dbc68bda820d7b40ee0f29658e053af157d5d53233ed80ad601e4c6a70405d602b2a5730000d603e4c6a70506d6047301d605db6501fed606b27205730200d607e4c672060411d608db6308b27205730300d6099d9c7e9973048cb27208730500020672037e730606d60a9d9c7e72040672099a7e8cb2720873070002067209d1edededededededed927ea305720193c2a7c2720292c1720299c1a77e73080593db63087202db6308a793e4c6720205069d9c72039a7e7204069a9a9a9a9a7eb27207730900069d9c7eb27207730a0006720a7e7204069d9c9d9c7eb27207730b0006720a7e720406720a7e7204069d9c9d9c9d9c7eb27207730c0006720a7e720406720a7e720406720a7e7204069d9c9d9c9d9c9d9c7eb27207730d0006720a7e720406720a7e720406720a7e720406720a7e7204069d9c9d9c9d9c9d9c9d9c7eb27207730e0006720a7e720406720a7e720406720a7e720406720a7e720406720a7e7204067e72040693e4c6720204059a72017e730f05938cb27208731000017311938cb2db63087206731200017313ededede4c672020601e4c672020701e4c672020801e4c672020901",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "05c8a5ba01",
          "sigmaType": "SLong",
          "renderedValue": "1526116"
        },
        "R5": {
          "serializedValue": "06072386f26fc10000",
          "sigmaType": "SBigInt",
          "renderedValue": "CBigInt(10000000000000000)"
        }
      }
    },
    {
      "boxId": "93c370771d00beed1f19df43d1b525d350871ed197873df4847da77320d7e594",
      "value": 1000000,
      "index": 1,
      "outputBlockId": "5904c0920f13e66dce2296ff2d7180cca25950a2f41898d9da1d5499993c5d5c",
      "outputTransactionId": "681d8e7f615ff9fb116a1c2f68ab5960fe288426f558436b3e7475bfc322a9b9",
      "outputIndex": 0,
      "ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
      "address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012045e4173ac6287f6e1f7b08ac22f89b16ba6c026877302fa777453a00a441a938",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[45e4173ac6287f6e1f7b08ac22f89b16ba6c026877302fa777453a00a441a938]"
        },
        "R5": {
          "serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
        },
        "R6": {
          "serializedValue": "1106a01f80b518c0029003f40302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[2000,200000,160,200,250,1]"
        }
      }
    },
    {
      "boxId": "2c85966fabd6e339e810539e20391538aad50236733e4071fa8c79c8d5e553f0",
      "value": 17114258841684,
      "index": 2,
      "outputBlockId": "3460a5c80e3ceccd5612b9bc16f48452f61931ed31511843ac973b503897ba12",
      "outputTransactionId": "01dc0731193ccfd85dbf6c98afe8032f543957bcdace03c74b330496aad21b9f",
      "outputIndex": 0,
      "ergoTree": "1999030f0400040204020404040405feffffffffffffffff0105feffffffffffffffff01050004d00f040004000406050005000580dac409d819d601b2a5730000d602e4c6a70404d603db63087201d604db6308a7d605b27203730100d606b27204730200d607b27203730300d608b27204730400d6099973058c720602d60a999973068c7205027209d60bc17201d60cc1a7d60d99720b720cd60e91720d7307d60f8c720802d6107e720f06d6117e720d06d612998c720702720fd6137e720c06d6147308d6157e721206d6167e720a06d6177e720906d6189c72117217d6199c72157217d1ededededededed93c27201c2a793e4c672010404720293b27203730900b27204730a00938c7205018c720601938c7207018c72080193b17203730b9593720a730c95720e929c9c721072117e7202069c7ef07212069a9c72137e7214067e9c720d7e72020506929c9c721372157e7202069c7ef0720d069a9c72107e7214067e9c72127e7202050695ed720e917212730d907216a19d721872139d72197210ed9272189c721672139272199c7216721091720b730e",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "04ca0f",
          "sigmaType": "SInt",
          "renderedValue": "997"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "0ed2cf9580a98ea9ea5b85f052fca9c8a44484465beb63fa84e43942e44947fd",
      "transactionId": "28fd66debcf2ade8eb44b364b6a2400358d1576341d05b549810624e91e98bde",
      "blockId": "1dc42e2b1558911657077cb1f78019c1dea2b428d52a250738d6b92f0861d656",
      "value": 1000000,
      "index": 0,
      "globalIndex": 47903419,
      "creationHeight": 1526156,
      "settlementHeight": 1526158,
      "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(-24,19,-77,35,-101,-6,-128,97,-24,-123,-94,-20,97,-48,31,4,36,-74,-14,-105,-106,1,-78,-36,-47,72,-69,118,-123,-93,-89,60)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(83,20,119,-97,-32,-87,-89,-45,15,-76,119,-51,-127,-93,64,-124,28,6,18,5,-97,-19,105,116,-38,43,-128,-46,-10,16,106,-120)\n22: 0\n23: 0\n24: -1\n25: Coll(-52,-107,-116,18,59,-112,122,112,-117,80,58,121,-12,101,87,-55,-89,-68,5,0,0,114,-17,67,77,8,-21,-114,90,107,42,-107)\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: 0\n47: -1\n48: 100000000\n49: 1\n50: 2\n51: 1000\n52: 0\n53: 0\n54: 0\n55: 1\n56: false",
      "ergoTreeScript": "{\n  val coll1 = SELF.tokens\n  val box2 = OUTPUTS.filter({(box2: Box) =>\n      val coll4 = box2.tokens\n      (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == coll1(placeholder[Int](2)))\n    })(placeholder[Int](3))\n  val coll3 = box2.tokens\n  val tuple4 = coll3(placeholder[Int](4))\n  val tuple5 = coll1(placeholder[Int](5))\n  val tuple6 = coll3(placeholder[Int](6))\n  val tuple7 = coll1(placeholder[Int](7))\n  val tuple8 = coll3(placeholder[Int](8))\n  val tuple9 = coll1(placeholder[Int](9))\n  val coll10 = tuple9._1\n  val bool11 = (\n    (\n      (\n        (\n          (\n            (\n              (\n                (\n                  (((box2.propositionBytes == SELF.propositionBytes) && (tuple4._1 == tuple5._1)) && (tuple6._1 == tuple7._1)) && (\n                    box2.value >= placeholder[Long](10)\n                  )\n                ) && (tuple8._1 == coll10)\n              ) && (coll3.size == coll1.size)\n            ) && box2.R4[Boolean].get\n          ) && box2.R5[Boolean].get\n        ) && box2.R6[Boolean].get\n      ) && box2.R7[Boolean].get\n    ) && box2.R8[Boolean].get\n  ) && box2.R9[Boolean].get\n  val bi12 = placeholder[BigInt](11)\n  val l13 = tuple8._2\n  val l14 = tuple6._2\n  val l15 = placeholder[Long](12) - l14\n  val coll16 = CONTEXT.dataInputs\n  val bi17 = coll16.filter({(box17: Box) =>\n      val coll19 = box17.tokens\n      (coll19.size > placeholder[Int](13)) && (coll19(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15))\n    })(placeholder[Int](16)).R5[BigInt].get\n  val bi18 = placeholder[BigInt](17)\n  val bi19 = l15.toBigInt * bi17 / bi18\n  val l20 = tuple9._2\n  val l21 = tuple7._2\n  val l22 = placeholder[Long](18) - l21\n  val box23 = coll16.filter({(box23: Box) =>\n      val coll25 = box23.tokens\n      (coll25.size > placeholder[Int](19)) && (coll25(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n    })(placeholder[Int](22))\n  val coll24 = box23.R5[Coll[Byte]].get\n  val coll25 = OUTPUTS.filter({(box25: Box) => box25.propositionBytes == coll24 })\n  val coll26 = box23.R6[Coll[Long]].get\n  val l27 = l13 - l20\n  val bool28 = l27 > placeholder[Long](23)\n  val l29 = if (bool28) { l27 } else { l27 * placeholder[Long](24) }\n  val bool30 = tuple4 == tuple5\n  val l31 = l15 - l22\n  val coll32 = OUTPUTS.filter({(box32: Box) => blake2b256(box32.propositionBytes) == placeholder[Coll[Byte]](25) })\n  sigmaProp(\n    (\n      (\n        (\n          (bool11 && (tuple6 == tuple7)) && (\n            bi12 * l13.toBigInt + bi19 / placeholder[Long](26) - tuple4._2.toBigInt > bi12 * l20.toBigInt + l22.toBigInt * bi17 / bi18 / placeholder[Long](\n              27\n            ) - tuple5._2.toBigInt\n          )\n        ) && if (coll25.size > placeholder[Int](28)) {(\n          val box33 = coll25(placeholder[Int](29))\n          val tuple34 = box33.tokens(placeholder[Int](30))\n          val l35 = coll26(placeholder[Int](31))\n          val l36 = coll26(placeholder[Int](32))\n          val l37 = coll26(placeholder[Int](33))\n          val l38 = coll26(placeholder[Int](34))\n          ((box33.propositionBytes == coll24) && (box33.value >= placeholder[Long](35))) && (\n            (\n              tuple34._2 >= max(\n                if (l29 <= l35) { l29 / l36 } else {\n                  if (l29 <= l37) { l29 - l35 / l38 + l35 / l36 } else { l29 - l37 - l35 / coll26(placeholder[Int](36)) + l37 / l38 + l35 / l36 }\n                }, coll26(placeholder[Int](37))\n              )\n            ) && (tuple34._1 == coll10)\n          )\n        )} else { placeholder[Boolean](38) }\n      ) || (((bool11 && bool30) && bool28) && (l31 < placeholder[Long](39)))\n    ) || if (coll32.size > placeholder[Int](40)) {(\n      val box33 = coll32(placeholder[Int](41))\n      val l34 = box33.tokens(placeholder[Int](42))._2\n      val bi35 = l34.toBigInt * bi17 / bi18\n      val box36 = OUTPUTS.filter({(box36: Box) =>\n          val coll38 = box36.tokens\n          (coll38.size > placeholder[Int](43)) && box23.R4[Coll[Coll[Byte]]].get.exists({(coll39: Coll[Byte]) => (coll38(placeholder[Int](44))._1 == coll39) && (coll39 == box33.R7[Coll[Byte]].get) })\n        })(placeholder[Int](45))\n      val coll37 = box36.R4[Coll[Long]].get\n      (\n        (\n          (\n            (\n              ((((bool11 && bool30) && (l34 + l14 == l21)) && (l27 < placeholder[Long](46))) && (l27 * placeholder[Long](47).toBigInt == bi35)) && (l31 == l34)\n            ) && (box33.R6[Long].get == placeholder[Long](48))\n          ) && (coll37(placeholder[Int](49)).toBigInt >= bi35 * coll37(placeholder[Int](50)).toBigInt / placeholder[Int](51).toBigInt)\n        ) && (bi19 < coll37(placeholder[Int](52)).toBigInt)\n      ) && (\n        OUTPUTS.map({(box38: Box) => box38.id }).indexOf(box33.id, placeholder[Int](53)) == box36.R9[Coll[Int]].get(placeholder[Int](54)) - placeholder[Int](55)\n      )\n    )} else { placeholder[Boolean](56) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1de594d252eac4ebdcbd822bfeed43d60d68c20a512f96b34171d27dc24bce14",
          "index": 0,
          "amount": 1,
          "name": "Pool NFT QUACKS-2.0",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "e60a5820605ecaa2c006583c4f47f52fa164af4b81d4fd89c2ea4e07bfd55baa",
          "index": 1,
          "amount": 9000000000000000,
          "name": "Lend Token QUACKS-2.0",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "5ef6a43fcf2fdfab2d2f208dfebfd92a21db3f2d6f1075aa3b2fbd0041a00078",
          "index": 2,
          "amount": 8999999990000000,
          "name": "Borrow Token QUACKS-2.0",
          "decimals": 9,
          "type": "EIP-004"
        },
        {
          "tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
          "index": 3,
          "amount": 2000010,
          "name": "QUACKS",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0101",
          "sigmaType": "SBoolean",
          "renderedValue": "true"
        },
        "R6": {
          "serializedValue": "0101",
          "sigmaType": "SBoolean",
          "renderedValue": "true"
        },
        "R8": {
          "serializedValue": "0101",
          "sigmaType": "SBoolean",
          "renderedValue": "true"
        },
        "R7": {
          "serializedValue": "0101",
          "sigmaType": "SBoolean",
          "renderedValue": "true"
        },
        "R9": {
          "serializedValue": "0101",
          "sigmaType": "SBoolean",
          "renderedValue": "true"
        },
        "R4": {
          "serializedValue": "0101",
          "sigmaType": "SBoolean",
          "renderedValue": "true"
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "64fc5485834cc50272a5c7939311d3f918d77409cc7de1b4bc6e67e62658c9c5",
      "transactionId": "28fd66debcf2ade8eb44b364b6a2400358d1576341d05b549810624e91e98bde",
      "blockId": "1dc42e2b1558911657077cb1f78019c1dea2b428d52a250738d6b92f0861d656",
      "value": 223000000,
      "index": 1,
      "globalIndex": 47903420,
      "creationHeight": 1526156,
      "settlementHeight": 1526158,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(15,125,-104,-55,-101,95,-20,26,88,-29,-75,-86,83,-24,46,-37,27,-73,81,71,118,33,30,-24,119,-18,8,-8,-90,-22,66,-51)\n3: 0\n4: CBigInt(10000000000000000)\n5: 0\n6: 0\n7: Coll(-24,19,-77,35,-101,-6,-128,97,-24,-123,-94,-20,97,-48,31,4,36,-74,-14,-105,-106,1,-78,-36,-47,72,-69,118,-123,-93,-89,60)\n8: 0\n9: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n10: 0\n11: 0\n12: 0\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: 1\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1\n24: 0\n25: 0\n26: 1\n27: 0\n28: 1\n29: 1\n30: 1\n31: 1000000\n32: 1000000\n33: 1000\n34: 1000\n35: 1000000\n36: 5\n37: 0\n38: 0\n39: 0\n40: 3000000\n41: 1000000\n42: 1000\n43: 1\n44: 3\n45: 980000\n46: 1000000\n47: 1000000\n48: CBigInt(1)\n49: 0\n50: 0\n51: 0\n52: 0\n53: -1\n54: 1\n55: 1\n56: 1000000\n57: 1000000\n58: 0\n59: 1000000",
      "ergoTreeScript": "{\n  val coll1 = SELF.R7[Coll[Byte]].get\n  val coll2 = OUTPUTS.filter({(box2: Box) =>\n      val coll4 = box2.tokens\n      (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == coll1)\n    })\n  val coll3 = SELF.propositionBytes\n  val coll4 = placeholder[Coll[Byte]](2)\n  val coll5 = SELF.tokens\n  val tuple6 = coll5(placeholder[Int](3))\n  val coll7 = tuple6._1\n  val coll8 = SELF.R4[Coll[Byte]].get\n  val ge9 = SELF.R5[GroupElement].get\n  val l10 = SELF.R6[Long].get\n  val l11 = SELF.value\n  val bi12 = placeholder[BigInt](4)\n  val bi13 = CONTEXT.dataInputs.filter({(box13: Box) =>\n      val coll15 = box13.tokens\n      (coll15.size > placeholder[Int](5)) && (coll15(placeholder[Int](6))._1 == placeholder[Coll[Byte]](7))\n    })(placeholder[Int](8)).R5[BigInt].get\n  val l14 = tuple6._2\n  val bi15 = l14.toBigInt\n  val coll16 = placeholder[Coll[Byte]](9)\n  val func17 = {(box17: Box) =>\n    val coll19 = box17.propositionBytes\n    val coll20 = blake2b256(coll19)\n    val bool21 = coll20 == coll4\n    bool21\n  }\n  val coll18 = OUTPUTS.filter(func17)\n  val box19 = coll18.getOrElse(placeholder[Int](10), SELF)\n  val coll20 = box19.tokens\n  val tuple21 = coll20(placeholder[Int](11))\n  val bi22 = bi15 * bi13 / bi12\n  val box23 = coll18.getOrElse(placeholder[Int](12), SELF)\n  val coll24 = box23.tokens\n  val tuple25 = coll24(placeholder[Int](13))\n  val func26 = {(box26: Box) =>\n    val coll28 = box26.propositionBytes\n    val coll29 = blake2b256(coll28)\n    val bool30 = coll29 == coll4\n    bool30\n  }\n  val coll27 = OUTPUTS.filter(func26)\n  val box28 = coll27.getOrElse(placeholder[Int](14), SELF)\n  val coll29 = box28.tokens\n  val tuple30 = coll29(placeholder[Int](15))\n  if (coll2.size > placeholder[Int](16)) {(\n    val coll31 = OUTPUTS.filter({(box31: Box) => box31.propositionBytes == coll3 })\n    val func32 = func17\n    val coll33 = coll18\n    val box34 = coll2.getOrElse(placeholder[Int](17), SELF)\n    val coll35 = box34.R4[Coll[Long]].get\n    val l36 = coll35(placeholder[Int](18))\n    val l37 = coll35(placeholder[Int](19))\n    if (coll31.size > placeholder[Int](20)) {(\n      val box38 = coll31.getOrElse(placeholder[Int](21), SELF)\n      val l39 = box38.value\n      val coll40 = box38.tokens\n      val tuple41 = coll40(placeholder[Int](22))\n      val coll42 = box38.R8[Coll[Byte]].get\n      val bool43 = (\n        (\n          ((((tuple41._1 == coll7) && (box38.R4[Coll[Byte]].get == coll8)) && (box38.R5[GroupElement].get == ge9)) && (box38.R7[Coll[Byte]].get == coll1)) && (\n            SELF.R8[Coll[Byte]].get == coll42\n          )\n        ) && (INPUTS.filter({(box43: Box) => box43.propositionBytes == coll3 }).size == placeholder[Int](23))\n      ) && (\n        OUTPUTS.map({(box43: Box) => box43.id }).indexOf(box38.id, placeholder[Int](24)) == box34.R9[Coll[Int]].get(placeholder[Int](25)) - placeholder[Int](26)\n      )\n      val l44 = tuple41._2\n      val l45 = box38.R6[Long].get\n      if (coll33.size > placeholder[Int](27)) {(\n        val bi46 = l44.toBigInt\n        val box47 = box19\n        val coll48 = coll20\n        val tuple49 = coll48(placeholder[Int](28))\n        val tuple50 = tuple21\n        sigmaProp(\n          (\n            (\n              (\n                (\n                  ((bool43 && (l39 >= l11)) && (bi46 >= bi15 - tuple49._2.toBigInt * bi12 / bi13)) && (\n                    coll40.slice(placeholder[Int](29), coll40.size) == coll5.slice(placeholder[Int](30), coll5.size)\n                  )\n                ) && (l45 == l10)\n              ) && (((box47.value >= placeholder[Int](31).toLong + placeholder[Long](32)) && (tuple50._1 == coll7)) && (tuple49._1 == coll16))\n            ) && (tuple50._2 == l14 - l44)\n          ) && (l36.toBigInt >= bi46 * bi13 / bi12 * l37.toBigInt / placeholder[Int](33).toBigInt)\n        )\n      )} else {(\n        val bi46 = l36.toBigInt\n        val bi47 = l37.toBigInt\n        val i48 = placeholder[Int](34)\n        sigmaProp(\n          (\n            (((bool43 && (l39 >= l11 - placeholder[Long](35))) && (coll40 == coll5)) && (l45 > HEIGHT.toLong)) && (l45 < HEIGHT + placeholder[Int](36).toLong)\n          ) && (bi46 < l44.toBigInt * bi13 / bi12 * bi47 / i48.toBigInt)\n        ) || sigmaProp(INPUTS.filter({(box49: Box) =>\n              val coll51 = box49.tokens\n              (coll51.size > placeholder[Int](37)) && (coll51(placeholder[Int](38))._1 == coll42)\n            }).size > placeholder[Int](39)) || proveDlog(ge9) && sigmaProp(\n          ((bool43 && (l39 >= placeholder[Int](40).toLong + placeholder[Long](41))) && (bi46 >= bi22 * bi47 / i48.toBigInt)) && (tuple41 == tuple6)\n        )\n      )}\n    )} else {(\n      val bi38 = l36.toBigInt\n      val i39 = placeholder[Int](42)\n      val box40 = box23\n      val coll41 = coll24\n      val tuple42 = tuple25\n      val tuple43 = coll41(placeholder[Int](43))\n      val bi44 = bi38 - bi22\n      val bi45 = coll35(placeholder[Int](44)).toBigInt\n      val bi46 = bi44 * i39.toBigInt - bi45 / i39.toBigInt\n      val l47 = tuple43._2\n      sigmaProp(\n        (\n          (\n            (\n              (\n                ((bi38 <= bi22 * l37.toBigInt / i39.toBigInt) && (HEIGHT.toLong >= l10)) || (\n                  HEIGHT.toLong > SELF.creationInfo._1.toLong + placeholder[Long](45)\n                )\n              ) && (((box40.value >= placeholder[Int](46).toLong + placeholder[Long](47)) && (tuple42._1 == coll7)) && (tuple43._1 == coll16))\n            ) && (tuple42._2 == l14)\n          ) && if (bi46 < placeholder[BigInt](48)) { l47.toBigInt >= bi38 } else {(\n            val tuple48 = OUTPUTS.filter({(box48: Box) => box48.propositionBytes == coll8 }).getOrElse(placeholder[Int](49), SELF).tokens(placeholder[Int](50))\n            ((l47.toBigInt >= bi22 + bi44 * bi45 / i39.toBigInt) && (tuple48._2.toBigInt >= bi46)) && (tuple48._1 == coll16)\n          )}\n        ) && (\n          INPUTS.map({(box48: Box) => box48.id }).indexOf(SELF.id, placeholder[Int](51)) == box34.R9[Coll[Int]].get(placeholder[Int](52)) * placeholder[Int](\n            53\n          ) - placeholder[Int](54)\n        )\n      )\n    )}\n  )} else {(\n    val func31 = func26\n    val coll32 = coll27\n    val box33 = box28\n    val coll34 = coll29\n    val tuple35 = tuple30\n    val tuple36 = coll34(placeholder[Int](55))\n    sigmaProp(\n      (\n        (\n          (((box33.value >= placeholder[Int](56).toLong + placeholder[Long](57)) && (tuple35._1 == coll7)) && (tuple36._1 == coll16)) && (tuple35._2 == l14)\n        ) && (tuple36._2.toBigInt > bi22)\n      ) && (OUTPUTS.filter({(box37: Box) => box37.propositionBytes == coll8 }).getOrElse(placeholder[Int](58), SELF).value >= l11 - placeholder[Long](59))\n    )\n  )}\n}",
      "address": "nyiMXNfhYbhb6uyPz5huSbRfdcWuj5FWqbQF2h2E2bcVKDhpHrFK9r8i4rZ5GKw4DYeQ32Anwy54Xv2uhyEfJ3bxCWmEutiYqiQSyFMesnPdZ9x6KDZdK3D2KSVNVKEzWFzSVdpF2kNh2WU5Sc9g1Hus44KeL7NsQA88h1kuXYE2Ft2vtHVtFhRczpy1KoP693QiKsMFghA7ehMwTWWpPPxYjAkDy3b9ntzeeUCNYsukToSSjfrEzqG3R1V6Ux6YVv7aJ5n17ZUJm3HWo3KreLyt35WGrMWKLLdA5jvDsZWoAFhyVCWR2cXKbwKV1Rkbaq585rEJJ13Prbkds9cLd3oFs5oJAvhXdWvnmeE9TZqvvjiwuw4yL7GcyE493UPThHAWzMYw9FdYQ5BvdgTqnodfwAEGKd9A5xg2HPdH1sTQMKYJQFwnALrSRW4PRGrRHYPftfnSTveFX1avHS1yWDx7yoJMSkWEbpVMpisU1Z26pmC2D7aLK5aX7j6LLGyUfmVqJzTJedeRtBoj6UCPkD345KJ5qdSpLReBiMNr3ohgUTK2jW2Aj3HkMsFosCS5u5gC9qEn6DgyJHWWv7JYwM8oCnDPQjVsBaFg3r649bxhKc8qzPCVPxDWEPTFPqLRdpAANHGKdfbEsNmp5dbGZuCvJXDb99DhsXBdYKFM9GMHjLuHtfmk9EPwbJdK5vg1johrrAY3qHiqwuVa9asqstvUT7oAxPGieABewdYQSDanrvDaVP69a78YQXYcZg1HaZVkFsuy7PV3wHkY73sWV2tQxd1girJzb4c1kDyRYxAfzENEeBUXxaJtoHEBbZXrrCHvwuDCwhvyrVM24iAME3hrAxN9RYwZp6KaatyCS8fwxL5EbMVYsjfKeAHku48D49NoKGEysQZiAkvf3A7uwERh3HWgL82NDb1HWzRhgHzg3cig1u58TCnMMn59memrfzhaT6EaQRg9tHTR9AqvYEp7EsNCoHsSeddXfgBM64Gyqiupdxv7P14DviGY3tLriarPnyJniTVcdFNwLbjTvJkcMmCE6EtVNrPhWau1rv7Q2B4wNukZ5CWj1FBSMirfdhWhcGgtpgDgrycsqWc5sQhcvK9w29GmBQdmjVF8oZdp4kBDQydzKKiDkE6eVHHcYUo38gJ5zebsNUyzjaZb9b1Buz4QTVbmrp2zx1vQSxnkLrpX8vEtmL6CG34KnM13aDjDrdtcbN3SU3oPeHYxWXfc67WYkWP6ZzdzRW347JKRnVD7LV6RjgFEygXnEmiU15DmeCnbGaByPjbw1bQvE5qJqN4Sce5q1KvEu6Luj6VS1T6MYnSbKXpHLtQd5uWBiXo2bdk2q6Mh3YEEHF7cB5oBtcP4QRgKRWGqdwtFcTtAYGg8jXFKgrQrbq11dk1QEFtZqkdiyERyhRfbrzXfozBYBBWFymiUBpaThYFv1fzUKKTiU3PviUW8z3RCZJiy6Z7vpbbuRDrGzoRZYcws3GekAtxDQWGw1R1JM7bimkZhAJrXoVVTCw5tjWpFJvjuBZBQhT8y9JeQZZkn5n2WYgvUfeV6GTPq2PQx7BziBbXNccYRrRyVw5HjxZf9dsvrW4GEzqXFT5zEqhNJuN8q2B9sABnvTkJ55c4CorzD8gMwn4hdnVW2Cu1QnuPWYokx6JnubDBCXEiv9tihjUdZ7PwmHnKaB7W2vLW3ndQECvsbj6HTtV8iwN56EmEN7Kyex7EaUVPQjvyg7uQHfDvqcgCA4tyCf6XKSnqaCn5xb6RSiWSopxTF578KD2CeCxvQJ6ywdidmZETAnfR8PJCjKzVgmgDLnx21mk7qCBXFEVUBVrPQ28nMhr6GW78EvXZhzMRoBso2TNXV5GM5V3Q76KaSgPGBB4tdLD2fYoKpFxMgUca5jNbGvgasUGxFkmpJFB7MB4rbErAGoPS1R6GaCWamDtVy5BTP9NnWmssRa41xF8AX2qKCn2hRPtuQHo8HLw",
      "assets": [
        {
          "tokenId": "5ef6a43fcf2fdfab2d2f208dfebfd92a21db3f2d6f1075aa3b2fbd0041a00078",
          "index": 0,
          "amount": 10000000,
          "name": "Borrow Token QUACKS-2.0",
          "decimals": 9,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
          "sigmaType": "SGroupElement",
          "renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
        },
        "R6": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R8": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R7": {
          "serializedValue": "0e2045e4173ac6287f6e1f7b08ac22f89b16ba6c026877302fa777453a00a441a938",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "45e4173ac6287f6e1f7b08ac22f89b16ba6c026877302fa777453a00a441a938"
        },
        "R4": {
          "serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "167430210d137b357719e45d8c6cb0d498ebccac9033331747f4d75cca67898a",
      "transactionId": "28fd66debcf2ade8eb44b364b6a2400358d1576341d05b549810624e91e98bde",
      "blockId": "1dc42e2b1558911657077cb1f78019c1dea2b428d52a250738d6b92f0861d656",
      "value": 1000000,
      "index": 2,
      "globalIndex": 47903421,
      "creationHeight": 1526156,
      "settlementHeight": 1526158,
      "ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
      "address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
      "assets": [
        {
          "tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
          "index": 0,
          "amount": 10000000,
          "name": "QUACKS",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e201b7a2b0d573cb44ef379094a6ee527e944bb7940b572ea7a67fbc61b59f633a5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1b7a2b0d573cb44ef379094a6ee527e944bb7940b572ea7a67fbc61b59f633a5"
        }
      },
      "spentTransactionId": "246dbe6116ac927af29f5acf147e968413c510588e84af768f3d492cef86fc3c",
      "mainChain": true
    },
    {
      "boxId": "407d8266cf39fa78d77215e24b58997690111d04d0159b17e8375043cc6773d3",
      "transactionId": "28fd66debcf2ade8eb44b364b6a2400358d1576341d05b549810624e91e98bde",
      "blockId": "1dc42e2b1558911657077cb1f78019c1dea2b428d52a250738d6b92f0861d656",
      "value": 1000000,
      "index": 3,
      "globalIndex": 47903422,
      "creationHeight": 1526156,
      "settlementHeight": 1526158,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: -1\n9: 1\n10: 1\n11: CBigInt(2)\n12: CBigInt(100)\n13: CBigInt(1000)\n14: CBigInt(0)\n15: 0\n16: 2\n17: 5000000\n18: 1\n19: 2\n20: 1\n21: 3\n22: 30\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: true\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS.filter({(box1: Box) =>\n      val coll3 = box1.tokens\n      (coll3.size > placeholder[Int](0)) && (coll3(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n    })(placeholder[Int](3))\n  val coll2 = box1.R5[Coll[Coll[Byte]]].get\n  val coll3 = CONTEXT.dataInputs\n  val coll4 = box1.R9[Coll[Int]].get\n  val i5 = coll4(placeholder[Int](4))\n  val box6 = coll3(i5)\n  val coll7 = box6.tokens\n  val i8 = coll4(placeholder[Int](5))\n  val box9 = if (i8 > placeholder[Int](6)) { OUTPUTS(i8 - placeholder[Int](7)) } else { INPUTS(i8 * placeholder[Int](8) - placeholder[Int](9)) }\n  val coll10 = coll3.slice(i5 + placeholder[Int](10), coll3.size)\n  val coll11 = box1.R7[Coll[Long]].get\n  val bi12 = placeholder[BigInt](11)\n  val bi13 = placeholder[BigInt](12)\n  val bi14 = placeholder[BigInt](13)\n  val bi15 = box9.value.toBigInt + coll10.zip(coll11).fold(placeholder[BigInt](14), {(tuple15: (BigInt, (Box, Long))) =>\n      val tuple17 = tuple15._2\n      val l18 = tuple17._2\n      val box19 = tuple17._1\n      val bi20 = tuple15._1\n      if (l18 > placeholder[Long](15)) {(\n        val bi21 = l18.toBigInt\n        val bi22 = box19.R4[Int].get.toBigInt\n        val bi23 = box19.tokens(placeholder[Int](16))._2.toBigInt\n        bi20 + box19.value.toBigInt * bi21 * bi22 / bi23 + bi23 * bi12 / bi13 * bi14 + bi21 * bi22\n      )} else { bi20 }\n    }) - placeholder[Int](17).toBigInt\n  val bi16 = box6.R4[Int].get.toBigInt\n  val bi17 = box6.value.toBigInt\n  val coll18 = box1.R4[Coll[Long]].get\n  val coll19 = box9.tokens\n  val i20 = coll19.size\n  val coll21 = box1.R8[Coll[Coll[Byte]]].get\n  val coll22 = coll2.slice(placeholder[Int](18), coll2.size)\n  val i23 = coll10.size\n  val i24 = coll11.size\n  sigmaProp(\n    (\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (box1.propositionBytes == SELF.propositionBytes) && (\n                        (coll2 == SELF.R5[Coll[Coll[Byte]]].get) && (box1.R6[Coll[Long]].get == SELF.R6[Coll[Long]].get)\n                      )\n                    ) && (\n                      coll7(placeholder[Int](19))._2.toBigInt * bi15 * bi16 / bi17 + bi17 * bi12 / bi13 * bi14 + bi15 * bi16 == coll18(\n                        placeholder[Int](20)\n                      ).toBigInt\n                    )\n                  ) && (coll18(placeholder[Int](21)) == placeholder[Long](22))\n                ) && coll19.slice(placeholder[Int](23), i20).forall(\n                  {(tuple25: (Coll[Byte], Long)) => coll21.zip(coll11).exists({(tuple27: (Coll[Byte], Long)) => tuple27 == tuple25 }) }\n                )\n              ) && coll22.indices.forall({(i25: Int) =>\n                  val coll27 = coll10(i25).tokens\n                  (coll22(i25) == coll27(placeholder[Int](24))._1) && (coll21(i25) == coll27(placeholder[Int](25))._1)\n                })\n            ) && ((i23 == i24) && (i23 == coll22.size))\n          ) && (i24 == coll21.size)\n        ) && (coll11.filter({(l25: Long) => l25 == placeholder[Long](26) }).size == i24 - i20 - placeholder[Int](27))\n      ) && placeholder[Boolean](28)\n    ) && (coll7(placeholder[Int](29))._1 == coll2(placeholder[Int](30)))\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "45e4173ac6287f6e1f7b08ac22f89b16ba6c026877302fa777453a00a441a938",
          "index": 0,
          "amount": 1,
          "name": "Logic NFT QUACKS-2.0",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1a012046463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[46463b61bae37a3f2f0963798d57279167d82e17f78ccd0ccedec7e49cbdbbd1]"
        },
        "R6": {
          "serializedValue": "1101f015",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1400]"
        },
        "R8": {
          "serializedValue": "1a00",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[]"
        },
        "R7": {
          "serializedValue": "1100",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[]"
        },
        "R9": {
          "serializedValue": "10020404",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[2,2]"
        },
        "R4": {
          "serializedValue": "11048080b4ccd4dfc603cecbbb10b0163c",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1000000000000000,17265383,1432,30]"
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "43608fbdc30418ea91a964b49ac659335226c45bfbead06af42cbaa90c1547fa",
      "transactionId": "28fd66debcf2ade8eb44b364b6a2400358d1576341d05b549810624e91e98bde",
      "blockId": "1dc42e2b1558911657077cb1f78019c1dea2b428d52a250738d6b92f0861d656",
      "value": 1000000,
      "index": 4,
      "globalIndex": 47903423,
      "creationHeight": 1526156,
      "settlementHeight": 1526158,
      "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": "b329cddc02525e5c67ec1f6d9f57cb2a001f628bd5bb8e4cc7df1430549967cf",
      "mainChain": true
    }
  ],
  "size": 4074,
  "isUnconfirmed": false
}