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Transaction

2/15/2026 02:47:15 AM
ID: aca13b78e0...6018
Inputs (3)
#0
73021699c919...e758
Spent
Address:
2FkbKwmZBuK9...Skds
Output transaction:
7b10e78e274c...7278
Settlement height:
1,722,187
Value:
0.004 ERG
Tokens:
Loading assets...
#1
27bf26e81c4f...f5de
Spent
Address:
2H6MZUwvVUd3...vdTg
Output transaction:
fde774ce8b6f...5696
Settlement height:
1,722,183
Value:
0.205 ERG
#2
3fed0b846963...e385
Spent
Address:
2GHGXUgJzMYF...z4aL
Output transaction:
7b10e78e274c...7278
Settlement height:
1,722,187
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (5)
#0
dc2ac7eaeb46...cdf9
Spent
Address:
2FkbKwmZBuK9...Skds
Spent in transaction:
6147cd4c5281...f1c0
Settlement height:
1,722,188
Value:
0.004 ERG
Tokens:
Loading assets...
#1
c598b2a33c6d...defe
Spent
Address:
P5a4t5sSNrmz...i82H
Spent in transaction:
bcf81e5cb74f...6cd2
Settlement height:
1,722,188
Value:
0.203 ERG
Tokens:
Borrow Token QUACKS - Beta-2.0
0
#2
2b27bd6d8407...41b2
Spent
Address:
9gSsDJixycev...7zSy
Spent in transaction:
81db5a045ef8...c42c
Settlement height:
1,722,188
Value:
0.001 ERG
Tokens:
QUACKS
4
#3
e26430342e5d...7b4f
Spent
Address:
2GHGXUgJzMYF...z4aL
Spent in transaction:
bcf81e5cb74f...6cd2
Settlement height:
1,722,188
Value:
0.001 ERG
Tokens:
Loading assets...
#4
65011cec6dc9...c7f5
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
8f95e7f1d2f4...8c47
Settlement height:
1,722,188
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 5.51 KB
Received time: 2/15/2026 02:47:15 AM
Included in blocks: 1,722,188
Confirmations: 45,630
Total coins transferred: 0.21 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000177 ERG
Raw Transaction Data
{
  "id": "aca13b78e009f812e23930ab5e25ec4ca5abe3b1bef66d23b9c674c4b3376018",
  "blockId": "9ff3ca930b2a79a3914cc0ec01a8ed983156424e3e7c454d6e5794d560f227bb",
  "inclusionHeight": 1722188,
  "timestamp": 1771123635903,
  "index": 5,
  "globalIndex": 10301631,
  "numConfirmations": 45630,
  "inputs": [
    {
      "boxId": "73021699c919afb899507e40ed774983199b23ab24247e879b0c6c0ea330e758",
      "value": 4000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "32a1811c7e91124e4047f45d463b856cd132bfb20a9705d7605c9d7d95b7a583",
      "outputTransactionId": "7b10e78e274cfb7774c79428e6ec31211701c5e020bf390c840079ffb8c87278",
      "outputIndex": 0,
      "outputGlobalIndex": 53575981,
      "outputCreatedAt": 1722186,
      "outputSettledAt": 1722187,
      "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(53,10,46,3,-60,3,80,-117,18,-119,93,-84,-8,51,-32,56,-96,-42,-109,18,-124,-123,82,47,-72,-124,-54,-21,35,-43,-103,13)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(67,56,6,24,-70,6,78,72,40,44,-53,-2,-13,118,83,-19,-22,119,-40,18,-10,-19,-56,-14,41,-109,-31,-24,12,-84,-100,8)\n22: 0\n23: 0\n24: -1\n25: Coll(-49,84,-61,62,-121,24,-40,-108,65,-73,-70,119,45,28,-89,-83,-91,40,-100,-2,-27,-90,-65,7,-45,-84,50,104,-95,94,-105,41)\n26: 9000000000000010\n27: 9000000000000010\n28: 0\n29: 0\n30: 0\n31: 0\n32: 2\n33: 1\n34: 3\n35: 1000000\n36: 4\n37: 5\n38: false\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 6\n47: 2\n48: 4\n49: 0\n50: -1\n51: 100000000\n52: 1\n53: 1000\n54: 0\n55: 0\n56: 0\n57: 1\n58: 4000000\n59: 0\n60: 1\n61: 3\n62: 2\n63: 5\n64: 3\n65: 4\n66: 5\n67: 6\n68: 7\n69: 7\n70: 8\n71: 9\n72: false",
      "ergoTreeScript": "{\n  val coll1 = SELF.tokens\n  val box2 = OUTPUTS.filter({(box2: Box) =>\n      val coll4 = box2.tokens\n      (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == coll1(placeholder[Int](2)))\n    })(placeholder[Int](3))\n  val coll3 = box2.tokens\n  val tuple4 = coll3(placeholder[Int](4))\n  val tuple5 = coll1(placeholder[Int](5))\n  val tuple6 = coll3(placeholder[Int](6))\n  val tuple7 = coll1(placeholder[Int](7))\n  val coll8 = tuple7._1\n  val tuple9 = coll3(placeholder[Int](8))\n  val tuple10 = coll1(placeholder[Int](9))\n  val coll11 = tuple10._1\n  val bool12 = (\n    (\n      (\n        (\n          (\n            (\n              (\n                (\n                  (((box2.propositionBytes == SELF.propositionBytes) && (tuple4._1 == tuple5._1)) && (tuple6._1 == coll8)) && (\n                    box2.value >= placeholder[Long](10)\n                  )\n                ) && (tuple9._1 == coll11)\n              ) && (coll3.size == coll1.size)\n            ) && box2.R4[Boolean].get\n          ) && box2.R5[Boolean].get\n        ) && box2.R6[Boolean].get\n      ) && box2.R7[Boolean].get\n    ) && box2.R8[Boolean].get\n  ) && box2.R9[Boolean].get\n  val bi13 = placeholder[BigInt](11)\n  val l14 = tuple9._2\n  val l15 = tuple6._2\n  val l16 = placeholder[Long](12) - l15\n  val coll17 = CONTEXT.dataInputs\n  val bi18 = coll17.filter({(box18: Box) =>\n      val coll20 = box18.tokens\n      (coll20.size > placeholder[Int](13)) && (coll20(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15))\n    })(placeholder[Int](16)).R5[BigInt].get\n  val bi19 = placeholder[BigInt](17)\n  val bi20 = l16.toBigInt * bi18 / bi19\n  val l21 = tuple10._2\n  val l22 = tuple7._2\n  val l23 = placeholder[Long](18) - l22\n  val box24 = coll17.filter({(box24: Box) =>\n      val coll26 = box24.tokens\n      (coll26.size > placeholder[Int](19)) && (coll26(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n    })(placeholder[Int](22))\n  val coll25 = box24.R5[Coll[Byte]].get\n  val coll26 = OUTPUTS.filter({(box26: Box) => box26.propositionBytes == coll25 })\n  val coll27 = box24.R6[Coll[Long]].get\n  val l28 = l14 - l21\n  val bool29 = l28 > placeholder[Long](23)\n  val l30 = if (bool29) { l28 } else { l28 * placeholder[Long](24) }\n  val bool31 = tuple4 == tuple5\n  val l32 = l16 - l23\n  val coll33 = OUTPUTS.filter({(box33: Box) => blake2b256(box33.propositionBytes) == placeholder[Coll[Byte]](25) })\n  sigmaProp(\n    (\n      (\n        (\n          (bool12 && (tuple6 == tuple7)) && (\n            bi13 * l14.toBigInt + bi20 / placeholder[Long](26) - tuple4._2.toBigInt > bi13 * l21.toBigInt + l23.toBigInt * bi18 / bi19 / placeholder[Long](\n              27\n            ) - tuple5._2.toBigInt\n          )\n        ) && if (coll26.size > placeholder[Int](28)) {(\n          val box34 = coll26(placeholder[Int](29))\n          val tuple35 = box34.tokens(placeholder[Int](30))\n          val l36 = coll27(placeholder[Int](31))\n          val l37 = coll27(placeholder[Int](32))\n          val l38 = coll27(placeholder[Int](33))\n          val l39 = coll27(placeholder[Int](34))\n          ((box34.propositionBytes == coll25) && (box34.value >= placeholder[Long](35))) && (\n            (\n              tuple35._2 >= max(\n                if (l30 <= l36) { l30 / l37 } else {\n                  if (l30 <= l38) { l30 - l36 / l39 + l36 / l37 } else { l30 - l38 - l36 / coll27(placeholder[Int](36)) + l38 / l39 + l36 / l37 }\n                }, coll27(placeholder[Int](37))\n              )\n            ) && (tuple35._1 == coll11)\n          )\n        )} else { placeholder[Boolean](38) }\n      ) || (((bool12 && bool31) && bool29) && (l32 < placeholder[Long](39)))\n    ) || if (coll33.size > placeholder[Int](40)) {(\n      val box34 = coll33(placeholder[Int](41))\n      val tuple35 = box34.tokens(placeholder[Int](42))\n      val l36 = tuple35._2\n      val bi37 = l36.toBigInt * bi18 / bi19\n      val box38 = OUTPUTS.filter({(box38: Box) =>\n          val coll40 = box38.tokens\n          (coll40.size > placeholder[Int](43)) && box24.R4[Coll[Coll[Byte]]].get.exists({(coll41: Coll[Byte]) => (coll40(placeholder[Int](44))._1 == coll41) && (coll41 == box34.R7[Coll[Byte]].get) })\n        })(placeholder[Int](45))\n      val coll39 = box38.R4[Coll[Long]].get\n      val l40 = coll39(placeholder[Int](46))\n      val l41 = coll39(placeholder[Int](47))\n      val l42 = box34.value\n      val l43 = coll39(placeholder[Int](48))\n      val coll44 = box34.R9[Coll[Long]].get\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (((bool12 && bool31) && (l36 + l15 == l22)) && (l28 < placeholder[Long](49))) && (\n                          (l28 * placeholder[Long](50).toBigInt == bi37) && (bi37 >= l40.toBigInt)\n                        )\n                      ) && (l32 == l36)\n                    ) && (tuple35._1 == coll8)\n                  ) && (box34.R6[Long].get == placeholder[Long](51))\n                ) && (coll39(placeholder[Int](52)).toBigInt >= bi37 * l41.toBigInt / placeholder[Int](53).toBigInt)\n              ) && (bi20 < coll39(placeholder[Int](54)).toBigInt)\n            ) && (\n              OUTPUTS.map({(box45: Box) => box45.id }).indexOf(box34.id, placeholder[Int](55)) == box38.R9[Coll[Int]].get(placeholder[Int](56)) - placeholder[\n                Int\n              ](57)\n            )\n          ) && ((l42 > placeholder[Long](58)) && (l42 >= l43))\n        ) && (\n          (\n            (\n              (\n                (\n                  (\n                    ((coll44(placeholder[Int](59)) == l41) && (coll44(placeholder[Int](60)) == coll39(placeholder[Int](61)))) && (\n                      coll44(placeholder[Int](62)) == coll39(placeholder[Int](63))\n                    )\n                  ) && (coll44(placeholder[Int](64)) == l43)\n                ) && (coll44(placeholder[Int](65)) == l40)\n              ) && (coll44(placeholder[Int](66)) >= HEIGHT.toLong)\n            ) && (coll44(placeholder[Int](67)) == coll39(placeholder[Int](68)))\n          ) && (coll44(placeholder[Int](69)) == coll39(placeholder[Int](70)))\n        )\n      ) && (bi37 <= coll39(placeholder[Int](71)).toBigInt)\n    )} else { placeholder[Boolean](72) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "00fa2be6114e58ec0f213a93492bd44e554ae28540026604eea1092a980ff98e",
          "index": 0,
          "amount": 1,
          "name": "Pool NFT QUACKS - Beta-2.0",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0ac2783a25b50230bbc8ba4a243d1a3fe9bb3a787237170b23facb5f4382ec82",
          "index": 1,
          "amount": 8999999988000001,
          "name": "Lend Token QUACKS - Beta-2.0",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "1eaf32e2dafc2706e6d5641903eb612637af6a4d970700d452b08e2612b32b39",
          "index": 2,
          "amount": 8999999996000000,
          "name": "Borrow Token QUACKS - Beta-2.0",
          "decimals": 9,
          "type": "EIP-004"
        },
        {
          "tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
          "index": 3,
          "amount": 8000013,
          "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": "27bf26e81c4fd934e252ee65c65784bdbbe499cbb942aa4ed92cdcd746d4f5de",
      "value": 205000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "0aa6ddeede18436376aaa5666e4acc28b495fce660b83f253ebeee4d3c2aecc9",
      "outputTransactionId": "fde774ce8b6f7b8bbe57f23ba96ba86703a44ec97d92b8a33ec868f3d8765696",
      "outputIndex": 0,
      "outputGlobalIndex": 53575790,
      "outputCreatedAt": 1722182,
      "outputSettledAt": 1722183,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 3\n1: 0\n2: 1000000\n3: 1\n4: 2\n5: 0\n6: Coll(-49,84,-61,62,-121,24,-40,-108,65,-73,-70,119,45,28,-89,-83,-91,40,-100,-2,-27,-90,-65,7,-45,-84,50,104,-95,94,-105,41)\n7: 1000000\n8: 1000000\n9: 1\n10: 1\n11: Coll(30,-81,50,-30,-38,-4,39,6,-26,-43,100,25,3,-21,97,38,55,-81,106,77,-105,7,0,-44,82,-80,-114,38,18,-77,43,57)\n12: 0\n13: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n14: 5\n15: 10\n16: 0\n17: 0\n18: Coll(0,-6,43,-26,17,78,88,-20,15,33,58,-109,73,43,-44,78,85,74,-30,-123,64,2,102,4,-18,-95,9,42,-104,15,-7,-114)\n19: 0\n20: 0",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Byte]].get\n  val coll2 = SELF.R5[Coll[Long]].get\n  val ge3 = SELF.R9[GroupElement].get\n  sigmaProp(if (OUTPUTS.size < placeholder[Int](0)) {(\n      val box4 = OUTPUTS(placeholder[Int](1))\n      (((box4.propositionBytes == coll1) && (SELF.value - box4.value <= placeholder[Long](2))) && (box4.R4[Coll[Byte]].get == SELF.id)) && (HEIGHT >= SELF.R6[Int].get)\n    )} else {(\n      val box4 = OUTPUTS(placeholder[Int](3))\n      val box5 = OUTPUTS(placeholder[Int](4))\n      val coll6 = box4.tokens\n      val tuple7 = coll6(placeholder[Int](5))\n      (((((((((((blake2b256(box4.propositionBytes) == placeholder[Coll[Byte]](6)) && (box5.propositionBytes == coll1)) && ((box4.value == SELF.value - placeholder[Long](7) - placeholder[Long](8)) && (coll6.slice(placeholder[Int](9), coll6.size) == SELF.tokens))) && (((coll2(placeholder[Int](10)) >= tuple7._2) && (tuple7._1 == placeholder[Coll[Byte]](11))) && (box5.tokens(placeholder[Int](12))._1 == placeholder[Coll[Byte]](13)))) && (box4.R4[Coll[Byte]].get == coll1)) && (box4.R8[Coll[Byte]].get == SELF.R7[Coll[Byte]].get)) && (box4.R9[Coll[Long]].get(placeholder[Int](14)) <= HEIGHT + placeholder[Int](15).toLong)) && (SELF.R8[Coll[Byte]].get == box4.R7[Coll[Byte]].get)) && (ge3 == box4.R5[GroupElement].get)) && (INPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))._1 == placeholder[Coll[Byte]](18))) && (box5.tokens(placeholder[Int](19))._2 == coll2(placeholder[Int](20)))) && (box5.R4[Coll[Byte]].get == SELF.id)\n    )}) || proveDlog(ge3)\n}",
      "address": "2H6MZUwvVUd37EZfGgfuKuae1aBXb4cpnd4xCjtCYKTMqK6PDSpPXat9kfNBC8KAZsQrYsif81hZ83zoXKBuxyi5h9KcYjrv3Y8gf8ngE9NiNNMvyQHpGhwTHeH8YBkGBgym8cUv5m64YdFxKKHGbTuhMo28vXxdiq5MCnFEFRqKvf5qJSNKf2RLgoRvCMM12whnjACicRWiEVp4VTtxVEdVK4DembTFd5C8LqkS6D4wwew8BG2zLLUuQsCTz2y1BFmYLmQraSpkQD2VNqAgHyHMTQAciQei8XRrirnKEgifbLA25vL55V52VSZPV6SHg9eKTKsfeqPqiHXK3JANz2bZXm39pTFyvFSCBvPJqWttTxgD4gUhKVhM3Pr8c2ESKcQam2TTGde3WZoNEjvALLHtBeXiSUyBvLCryPbnZsB59TMnRB9rthTa5BPvjJiw4SmXUXPTkF6fUy32avczyjrG9aYgiuE25FRK2EALSTS9eZqGpgY9JcfwK8FfVsSvYucmnhrWpFKymLaWsnMeqywTnuccsqFhFRzfNm5MSqkyrYrDWiosYtdKzkqjPKssEBeVD5Gfr2njxDEbA6CeJbByEb53vEmzq2nCcsCBLTM26HF5PbetWcDPbhvfMUzz3CfrMGc2qPvdTg",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110680a4e80380a4e803b6163c108087a70e",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[4000000,4000000,1435,30,8,15000000]"
        },
        "R6": {
          "serializedValue": "04a69dd201",
          "sigmaType": "SInt",
          "renderedValue": "1722195"
        },
        "R8": {
          "serializedValue": "0e2056bc77d10a28b3e4665c903ff38984fb74962d06a14775713d21ace659ac8e82",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "56bc77d10a28b3e4665c903ff38984fb74962d06a14775713d21ace659ac8e82"
        },
        "R7": {
          "serializedValue": "0e500000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000"
        },
        "R9": {
          "serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
          "sigmaType": "SGroupElement",
          "renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
        },
        "R4": {
          "serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
        }
      }
    },
    {
      "boxId": "3fed0b846963211441c0c6862de8577a3702059a30aac599ec86303e390ce385",
      "value": 1000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "32a1811c7e91124e4047f45d463b856cd132bfb20a9705d7605c9d7d95b7a583",
      "outputTransactionId": "7b10e78e274cfb7774c79428e6ec31211701c5e020bf390c840079ffb8c87278",
      "outputIndex": 3,
      "outputGlobalIndex": 53575984,
      "outputCreatedAt": 1722186,
      "outputSettledAt": 1722187,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 4\n6: 4\n7: 5\n8: 5\n9: 6\n10: 6\n11: 8\n12: 8\n13: 7\n14: 7\n15: 1\n16: 0\n17: 0\n18: 1\n19: -1\n20: 1\n21: 1\n22: CBigInt(0)\n23: CBigInt(2)\n24: CBigInt(100)\n25: CBigInt(1000)\n26: 0\n27: 2\n28: 5000000\n29: 1000000000000\n30: 1\n31: 0\n32: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n33: 2\n34: 1\n35: 3\n36: 1000\n37: 0\n38: 30\n39: 0\n40: 0\n41: 2\n42: 1\n43: 2\n44: 1001\n45: 1\n46: 0\n47: 2\n48: 0\n49: 1\n50: 0\n51: 0\n52: 4000000\n53: 1\n54: 0\n55: 1000\n56: 0\n57: 0\n58: 9\n59: 9\n60: 0\n61: 0\n62: 0",
      "ergoTreeScript": "{\n  val coll1 = SELF.propositionBytes\n  val box2 = OUTPUTS.filter({(box2: Box) =>\n      val coll4 = box2.tokens\n      (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n    })(placeholder[Int](3))\n  val coll3 = box2.propositionBytes\n  val coll4 = box2.R4[Coll[Long]].get\n  val l5 = coll4(placeholder[Int](4))\n  val coll6 = SELF.R4[Coll[Long]].get\n  val l7 = coll6(placeholder[Int](5))\n  val l8 = coll4(placeholder[Int](6))\n  val l9 = coll6(placeholder[Int](7))\n  val l10 = coll4(placeholder[Int](8))\n  val l11 = coll6(placeholder[Int](9))\n  val l12 = coll4(placeholder[Int](10))\n  val l13 = coll6(placeholder[Int](11))\n  val l14 = coll4(placeholder[Int](12))\n  val l15 = coll6(placeholder[Int](13))\n  val l16 = coll4(placeholder[Int](14))\n  val coll17 = SELF.R5[Coll[Coll[Byte]]].get\n  val coll18 = box2.R5[Coll[Coll[Byte]]].get\n  val coll19 = SELF.R6[Coll[Long]].get\n  val coll20 = box2.R6[Coll[Long]].get\n  val coll21 = CONTEXT.dataInputs\n  val coll22 = box2.R9[Coll[Int]].get\n  val i23 = coll22(placeholder[Int](15))\n  val box24 = coll21(i23)\n  val coll25 = box24.tokens\n  val i26 = coll22(placeholder[Int](16))\n  val box27 = if (i26 > placeholder[Int](17)) { OUTPUTS(i26 - placeholder[Int](18)) } else { INPUTS(i26 * placeholder[Int](19) - placeholder[Int](20)) }\n  val bi28 = box27.value.toBigInt\n  val coll29 = coll21.slice(i23 + placeholder[Int](21), coll21.size)\n  val coll30 = box2.R7[Coll[Long]].get\n  val bi31 = placeholder[BigInt](22)\n  val bi32 = placeholder[BigInt](23)\n  val bi33 = placeholder[BigInt](24)\n  val bi34 = placeholder[BigInt](25)\n  val bi35 = bi28 + coll29.zip(coll30).fold(bi31, {(tuple35: (BigInt, (Box, Long))) =>\n      val tuple37 = tuple35._2\n      val l38 = tuple37._2\n      val box39 = tuple37._1\n      val bi40 = tuple35._1\n      if (l38 > placeholder[Long](26)) {(\n        val bi41 = l38.toBigInt\n        val bi42 = box39.R4[Int].get.toBigInt\n        val bi43 = box39.tokens(placeholder[Int](27))._2.toBigInt\n        bi40 + box39.value.toBigInt * bi41 * bi42 / bi43 + bi43 * bi32 / bi33 * bi34 + bi41 * bi42\n      )} else { bi40 }\n    }) - placeholder[Int](28).toBigInt\n  val bi36 = box24.R4[Int].get.toBigInt\n  val bi37 = box24.value.toBigInt\n  val l38 = placeholder[Long](29)\n  val coll39 = box27.tokens\n  val i40 = coll39.size\n  val coll41 = box2.R8[Coll[Coll[Byte]]].get\n  val coll42 = coll18.slice(placeholder[Int](30), coll18.size)\n  val i43 = coll29.size\n  val i44 = coll30.size\n  sigmaProp(\n    (\n      (\n        (\n          (\n            (\n              (((((coll1 == coll3) && (SELF.value == box2.value)) && (SELF.tokens == box2.tokens)) && (l5 == placeholder[Long](31))) && (l7 == l8)) && (\n                l9 == l10\n              )\n            ) && (l11 == l12)\n          ) && (l13 == l14)\n        ) && (l15 == l16)\n      ) && (coll17 == coll18)\n    ) && (coll19 == coll20)\n  ) && placeholder[SigmaProp](32) || sigmaProp(\n    (\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (\n                                  ((coll3 == coll1) && ((coll18 == coll17) && (coll20 == coll19))) && (\n                                    coll25(placeholder[Int](33))._2.toBigInt * bi35 * bi36 / bi37 + bi37 * bi32 / bi33 * bi34 + bi35 * bi36 == coll4(\n                                      placeholder[Int](34)\n                                    ).toBigInt\n                                  )\n                                ) && (max(min(coll4(placeholder[Int](35)), placeholder[Long](36)), placeholder[Long](37)) == placeholder[Long](38))\n                              ) && (bi28 * l38.toBigInt * coll20(placeholder[Int](39)).toBigInt / bi35 + coll30.indices.fold(bi31, {(tuple45: (BigInt, Int)) =>\n                                    val i47 = tuple45._2\n                                    val l48 = coll30(i47)\n                                    val bi49 = tuple45._1\n                                    if (l48 > placeholder[Long](40)) {(\n                                      val box50 = coll29(i47)\n                                      val bi51 = l48.toBigInt\n                                      val bi52 = box50.R4[Int].get.toBigInt\n                                      val bi53 = box50.tokens(placeholder[Int](41))._2.toBigInt\n                                      bi49 + box50.value.toBigInt * bi51 * bi52 / bi53 + bi53 * bi32 / bi33 * bi34 + bi51 * bi52 * l38.toBigInt * coll20.slice(placeholder[Int](42), coll20.size)(i47).toBigInt / bi35\n                                    )} else { bi49 }\n                                  }) / l38.toBigInt == max(coll4(placeholder[Int](43)), placeholder[Long](44)).toBigInt)\n                            ) && coll39.slice(placeholder[Int](45), i40).forall(\n                              {(tuple45: (Coll[Byte], Long)) => coll41.zip(coll30).exists({(tuple47: (Coll[Byte], Long)) => tuple47 == tuple45 }) }\n                            )\n                          ) && coll42.indices.forall({(i45: Int) =>\n                              val coll47 = coll29(i45).tokens\n                              (coll42(i45) == coll47(placeholder[Int](46))._1) && (coll41(i45) == coll47(placeholder[Int](47))._1)\n                            })\n                        ) && ((i43 == i44) && (i43 == coll42.size))\n                      ) && (i44 == coll41.size)\n                    ) && (coll30.filter({(l45: Long) => l45 == placeholder[Long](48) }).size == i44 - i40 - placeholder[Int](49))\n                  ) && (coll6(placeholder[Int](50)) == max(l5, placeholder[Long](51)))\n                ) && (l7 == max(l8, placeholder[Long](52)))\n              ) && (l9 == max(l10, placeholder[Long](53)))\n            ) && (l11 == max(l12, placeholder[Long](54)))\n          ) && (l15 == max(min(l16, placeholder[Long](55)), placeholder[Long](56)))\n        ) && (l13 == max(l14, placeholder[Long](57)))\n      ) && (coll6(placeholder[Int](58)) == max(coll4(placeholder[Int](59)), placeholder[Long](60)))\n    ) && (coll25(placeholder[Int](61))._1 == coll18(placeholder[Int](62)))\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "56bc77d10a28b3e4665c903ff38984fb74962d06a14775713d21ace659ac8e82",
          "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": "110a80a0b787e9058e98811892163c8087a70e1000641e80b48913",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[100000000000,25175559,1417,30,15000000,8,0,50,15,20000000]"
        }
      }
    }
  ],
  "dataInputs": [
    {
      "boxId": "b2c6eb11cbaef43bc1246d5a1bbe49109e8666432a911b310d49adb3f02ab56a",
      "value": 1000000,
      "index": 0,
      "outputBlockId": "29a3c5e1f038c1099d395c9bf889a3cb8243b3076e092259e5363dc3ee43fb7e",
      "outputTransactionId": "ab7d59d1d5ed8f9287a68d7c58dad297ba7d21c80c7b3d10b25697edc74ef03c",
      "outputIndex": 0,
      "ergoTree": "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",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "05da90d201",
          "sigmaType": "SLong",
          "renderedValue": "1721389"
        },
        "R5": {
          "serializedValue": "06072386f26fc10000",
          "sigmaType": "SBigInt",
          "renderedValue": "CBigInt(10000000000000000)"
        }
      }
    },
    {
      "boxId": "d2e12c4e39aea040cff9dc767fd74e680c319209067373042b536869be18a695",
      "value": 1000000,
      "index": 1,
      "outputBlockId": "29a3c5e1f038c1099d395c9bf889a3cb8243b3076e092259e5363dc3ee43fb7e",
      "outputTransactionId": "3f5cda278dc32af5c96c0fb2d019672e5fca52e3bbefa237c4749790ce36de4a",
      "outputIndex": 0,
      "ergoTree": "100208cd03dda8fe44b65ff96eb9dd442e6f10aca93f7351e96f2cbb1862c21a9055bc8b9604fdafdd09ea027300d191a37301",
      "address": "5p17C57VD3UBEed82YvERS2PSQvAocXzcoEW7khEEgmaCnRgs8tbe74pc5xyX1KniEgfW1gyV9Nc",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012056bc77d10a28b3e4665c903ff38984fb74962d06a14775713d21ace659ac8e82",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[56bc77d10a28b3e4665c903ff38984fb74962d06a14775713d21ace659ac8e82]"
        },
        "R5": {
          "serializedValue": "0e2e100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "100208cd03f0dbaa5d7b67fac2130f5cb7166bcf4b19bee4ba88567830935d242b972fef300101ea027300d17301"
        },
        "R6": {
          "serializedValue": "1106a01f80b518c0029003f40302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[2000,200000,160,200,250,1]"
        }
      }
    },
    {
      "boxId": "38ce50300767ee0b2d8852ae3d5f37559d394337b219c3423a2831b8eeb968ac",
      "value": 18144617453081,
      "index": 2,
      "outputBlockId": "8899f29e428fc7c72ebb7019afa8ae99892e1fb196dd8b58bea9939873c27f42",
      "outputTransactionId": "694f97315e674e2a7090bd46781c237bfafc15f70a4894c5e98a54989b8f08e5",
      "outputIndex": 0,
      "ergoTree": "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",
      "address": "5vSUZRZbdVbnk4sJWjg2uhL94VZWRg4iatK9VgMChufzUgdihgvhR8yWSUEJKszzV7Vmi6K8hCyKTNhUaiP8p5ko6YEU9yfHpjVuXdQ4i5p4cRCzch6ZiqWrNukYjv7Vs5jvBwqg5hcEJ8u1eerr537YLWUoxxi1M4vQxuaCihzPKMt8NDXP4WcbN6mfNxxLZeGBvsHVvVmina5THaECosCWozKJFBnscjhpr3AJsdaL8evXAvPfEjGhVMoTKXAb2ZGGRmR8g1eZshaHmgTg2imSiaoXU5eiF3HvBnDuawaCtt674ikZ3oZdekqswcVPGMwqqUKVsGY4QuFeQoGwRkMqEYTdV2UDMMsfrjrBYQYKUBFMwsQGMNBL1VoY78aotXzdeqJCBVKbQdD3ZZWvukhSe4xrz8tcF3PoxpysDLt89boMqZJtGEHTV9UBTBEac6sDyQP693qT3nKaErN8TCXrJBUmHPqKozAg9bwxTqMYkpmb9iVKLSoJxG7MjAj72SRbcqQfNCVTztSwN3cRxSrVtz4p87jNFbVtFzhPg7UqDwNFTaasySCqM",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "04ca0f",
          "sigmaType": "SInt",
          "renderedValue": "997"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "dc2ac7eaeb4655d54bf5e79b820495f65955931e5e60310ca5522e3360e9cdf9",
      "transactionId": "aca13b78e009f812e23930ab5e25ec4ca5abe3b1bef66d23b9c674c4b3376018",
      "blockId": "9ff3ca930b2a79a3914cc0ec01a8ed983156424e3e7c454d6e5794d560f227bb",
      "value": 4000000,
      "index": 0,
      "globalIndex": 53576001,
      "creationHeight": 1722187,
      "settlementHeight": 1722188,
      "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(53,10,46,3,-60,3,80,-117,18,-119,93,-84,-8,51,-32,56,-96,-42,-109,18,-124,-123,82,47,-72,-124,-54,-21,35,-43,-103,13)\n16: 0\n17: CBigInt(10000000000000000)\n18: 9000000000000000\n19: 0\n20: 0\n21: Coll(67,56,6,24,-70,6,78,72,40,44,-53,-2,-13,118,83,-19,-22,119,-40,18,-10,-19,-56,-14,41,-109,-31,-24,12,-84,-100,8)\n22: 0\n23: 0\n24: -1\n25: Coll(-49,84,-61,62,-121,24,-40,-108,65,-73,-70,119,45,28,-89,-83,-91,40,-100,-2,-27,-90,-65,7,-45,-84,50,104,-95,94,-105,41)\n26: 9000000000000010\n27: 9000000000000010\n28: 0\n29: 0\n30: 0\n31: 0\n32: 2\n33: 1\n34: 3\n35: 1000000\n36: 4\n37: 5\n38: false\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 0\n45: 0\n46: 6\n47: 2\n48: 4\n49: 0\n50: -1\n51: 100000000\n52: 1\n53: 1000\n54: 0\n55: 0\n56: 0\n57: 1\n58: 4000000\n59: 0\n60: 1\n61: 3\n62: 2\n63: 5\n64: 3\n65: 4\n66: 5\n67: 6\n68: 7\n69: 7\n70: 8\n71: 9\n72: false",
      "ergoTreeScript": "{\n  val coll1 = SELF.tokens\n  val box2 = OUTPUTS.filter({(box2: Box) =>\n      val coll4 = box2.tokens\n      (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == coll1(placeholder[Int](2)))\n    })(placeholder[Int](3))\n  val coll3 = box2.tokens\n  val tuple4 = coll3(placeholder[Int](4))\n  val tuple5 = coll1(placeholder[Int](5))\n  val tuple6 = coll3(placeholder[Int](6))\n  val tuple7 = coll1(placeholder[Int](7))\n  val coll8 = tuple7._1\n  val tuple9 = coll3(placeholder[Int](8))\n  val tuple10 = coll1(placeholder[Int](9))\n  val coll11 = tuple10._1\n  val bool12 = (\n    (\n      (\n        (\n          (\n            (\n              (\n                (\n                  (((box2.propositionBytes == SELF.propositionBytes) && (tuple4._1 == tuple5._1)) && (tuple6._1 == coll8)) && (\n                    box2.value >= placeholder[Long](10)\n                  )\n                ) && (tuple9._1 == coll11)\n              ) && (coll3.size == coll1.size)\n            ) && box2.R4[Boolean].get\n          ) && box2.R5[Boolean].get\n        ) && box2.R6[Boolean].get\n      ) && box2.R7[Boolean].get\n    ) && box2.R8[Boolean].get\n  ) && box2.R9[Boolean].get\n  val bi13 = placeholder[BigInt](11)\n  val l14 = tuple9._2\n  val l15 = tuple6._2\n  val l16 = placeholder[Long](12) - l15\n  val coll17 = CONTEXT.dataInputs\n  val bi18 = coll17.filter({(box18: Box) =>\n      val coll20 = box18.tokens\n      (coll20.size > placeholder[Int](13)) && (coll20(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15))\n    })(placeholder[Int](16)).R5[BigInt].get\n  val bi19 = placeholder[BigInt](17)\n  val bi20 = l16.toBigInt * bi18 / bi19\n  val l21 = tuple10._2\n  val l22 = tuple7._2\n  val l23 = placeholder[Long](18) - l22\n  val box24 = coll17.filter({(box24: Box) =>\n      val coll26 = box24.tokens\n      (coll26.size > placeholder[Int](19)) && (coll26(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n    })(placeholder[Int](22))\n  val coll25 = box24.R5[Coll[Byte]].get\n  val coll26 = OUTPUTS.filter({(box26: Box) => box26.propositionBytes == coll25 })\n  val coll27 = box24.R6[Coll[Long]].get\n  val l28 = l14 - l21\n  val bool29 = l28 > placeholder[Long](23)\n  val l30 = if (bool29) { l28 } else { l28 * placeholder[Long](24) }\n  val bool31 = tuple4 == tuple5\n  val l32 = l16 - l23\n  val coll33 = OUTPUTS.filter({(box33: Box) => blake2b256(box33.propositionBytes) == placeholder[Coll[Byte]](25) })\n  sigmaProp(\n    (\n      (\n        (\n          (bool12 && (tuple6 == tuple7)) && (\n            bi13 * l14.toBigInt + bi20 / placeholder[Long](26) - tuple4._2.toBigInt > bi13 * l21.toBigInt + l23.toBigInt * bi18 / bi19 / placeholder[Long](\n              27\n            ) - tuple5._2.toBigInt\n          )\n        ) && if (coll26.size > placeholder[Int](28)) {(\n          val box34 = coll26(placeholder[Int](29))\n          val tuple35 = box34.tokens(placeholder[Int](30))\n          val l36 = coll27(placeholder[Int](31))\n          val l37 = coll27(placeholder[Int](32))\n          val l38 = coll27(placeholder[Int](33))\n          val l39 = coll27(placeholder[Int](34))\n          ((box34.propositionBytes == coll25) && (box34.value >= placeholder[Long](35))) && (\n            (\n              tuple35._2 >= max(\n                if (l30 <= l36) { l30 / l37 } else {\n                  if (l30 <= l38) { l30 - l36 / l39 + l36 / l37 } else { l30 - l38 - l36 / coll27(placeholder[Int](36)) + l38 / l39 + l36 / l37 }\n                }, coll27(placeholder[Int](37))\n              )\n            ) && (tuple35._1 == coll11)\n          )\n        )} else { placeholder[Boolean](38) }\n      ) || (((bool12 && bool31) && bool29) && (l32 < placeholder[Long](39)))\n    ) || if (coll33.size > placeholder[Int](40)) {(\n      val box34 = coll33(placeholder[Int](41))\n      val tuple35 = box34.tokens(placeholder[Int](42))\n      val l36 = tuple35._2\n      val bi37 = l36.toBigInt * bi18 / bi19\n      val box38 = OUTPUTS.filter({(box38: Box) =>\n          val coll40 = box38.tokens\n          (coll40.size > placeholder[Int](43)) && box24.R4[Coll[Coll[Byte]]].get.exists({(coll41: Coll[Byte]) => (coll40(placeholder[Int](44))._1 == coll41) && (coll41 == box34.R7[Coll[Byte]].get) })\n        })(placeholder[Int](45))\n      val coll39 = box38.R4[Coll[Long]].get\n      val l40 = coll39(placeholder[Int](46))\n      val l41 = coll39(placeholder[Int](47))\n      val l42 = box34.value\n      val l43 = coll39(placeholder[Int](48))\n      val coll44 = box34.R9[Coll[Long]].get\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (((bool12 && bool31) && (l36 + l15 == l22)) && (l28 < placeholder[Long](49))) && (\n                          (l28 * placeholder[Long](50).toBigInt == bi37) && (bi37 >= l40.toBigInt)\n                        )\n                      ) && (l32 == l36)\n                    ) && (tuple35._1 == coll8)\n                  ) && (box34.R6[Long].get == placeholder[Long](51))\n                ) && (coll39(placeholder[Int](52)).toBigInt >= bi37 * l41.toBigInt / placeholder[Int](53).toBigInt)\n              ) && (bi20 < coll39(placeholder[Int](54)).toBigInt)\n            ) && (\n              OUTPUTS.map({(box45: Box) => box45.id }).indexOf(box34.id, placeholder[Int](55)) == box38.R9[Coll[Int]].get(placeholder[Int](56)) - placeholder[\n                Int\n              ](57)\n            )\n          ) && ((l42 > placeholder[Long](58)) && (l42 >= l43))\n        ) && (\n          (\n            (\n              (\n                (\n                  (\n                    ((coll44(placeholder[Int](59)) == l41) && (coll44(placeholder[Int](60)) == coll39(placeholder[Int](61)))) && (\n                      coll44(placeholder[Int](62)) == coll39(placeholder[Int](63))\n                    )\n                  ) && (coll44(placeholder[Int](64)) == l43)\n                ) && (coll44(placeholder[Int](65)) == l40)\n              ) && (coll44(placeholder[Int](66)) >= HEIGHT.toLong)\n            ) && (coll44(placeholder[Int](67)) == coll39(placeholder[Int](68)))\n          ) && (coll44(placeholder[Int](69)) == coll39(placeholder[Int](70)))\n        )\n      ) && (bi37 <= coll39(placeholder[Int](71)).toBigInt)\n    )} else { placeholder[Boolean](72) }\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "00fa2be6114e58ec0f213a93492bd44e554ae28540026604eea1092a980ff98e",
          "index": 0,
          "amount": 1,
          "name": "Pool NFT QUACKS - Beta-2.0",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0ac2783a25b50230bbc8ba4a243d1a3fe9bb3a787237170b23facb5f4382ec82",
          "index": 1,
          "amount": 8999999988000001,
          "name": "Lend Token QUACKS - Beta-2.0",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "1eaf32e2dafc2706e6d5641903eb612637af6a4d970700d452b08e2612b32b39",
          "index": 2,
          "amount": 8999999992000000,
          "name": "Borrow Token QUACKS - Beta-2.0",
          "decimals": 9,
          "type": "EIP-004"
        },
        {
          "tokenId": "089990451bb430f05a85f4ef3bcb6ebf852b3d6ee68d86d78658b9ccef20074f",
          "index": 3,
          "amount": 4000013,
          "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": "6147cd4c5281a0cf9336ae32eedc156d0905616f18fedc3dd70ebbc9cce3f1c0",
      "mainChain": true
    },
    {
      "boxId": "c598b2a33c6dfe9eae2ee291072195d9af02025630ff5f61823a04a67eb4defe",
      "transactionId": "aca13b78e009f812e23930ab5e25ec4ca5abe3b1bef66d23b9c674c4b3376018",
      "blockId": "9ff3ca930b2a79a3914cc0ec01a8ed983156424e3e7c454d6e5794d560f227bb",
      "value": 203000000,
      "index": 1,
      "globalIndex": 53576002,
      "creationHeight": 1722187,
      "settlementHeight": 1722188,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-80,-96,89,91,-62,-43,-103,63,48,29,93,-40,94,-114,23,64,61,77,-10,52,-73,-77,30,91,62,68,6,103,36,-21,86,109)\n3: 0\n4: 3\n5: 0\n6: 0\n7: 0\n8: CBigInt(10000000000000000)\n9: 0\n10: 0\n11: Coll(53,10,46,3,-60,3,80,-117,18,-119,93,-84,-8,51,-32,56,-96,-42,-109,18,-124,-123,82,47,-72,-124,-54,-21,35,-43,-103,13)\n12: 0\n13: 1\n14: 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)\n15: 0\n16: 0\n17: 1\n18: 5\n19: 7\n20: 2\n21: 0\n22: 32\n23: 32\n24: 40\n25: 6\n26: 1000\n27: 0\n28: 0\n29: 0\n30: 0\n31: 0\n32: 1\n33: 2\n34: 0\n35: 0\n36: 0\n37: 1\n38: 0\n39: 8\n40: 0\n41: 8\n42: 0\n43: 1\n44: 10000000\n45: 1\n46: 1000000\n47: 1000\n48: 1000\n49: 0\n50: 0\n51: 0\n52: 1000000\n53: 10000000\n54: 5\n55: 1000000\n56: 10000000\n57: 100000000\n58: 100000000\n59: 100000000\n60: 0\n61: 1\n62: 3\n63: 2\n64: 3\n65: 5\n66: 6\n67: 7\n68: 1000\n69: 1\n70: 1\n71: 980000\n72: 1000000\n73: CBigInt(1)\n74: 0\n75: 0\n76: 0\n77: 0\n78: -1\n79: 1\n80: 1\n81: 2000000\n82: 0\n83: 0\n84: 0\n85: true\n86: 0\n87: 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 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll3 })\n  val i6 = coll5.indexOf(SELF, placeholder[Int](3))\n  val coll7 = SELF.R9[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](4))\n  val coll9 = SELF.tokens\n  val tuple10 = coll9(placeholder[Int](5))\n  val coll11 = tuple10._1\n  val coll12 = SELF.R4[Coll[Byte]].get\n  val ge13 = SELF.R5[GroupElement].get\n  val l14 = SELF.R6[Long].get\n  val coll15 = SELF.R8[Coll[Byte]].get\n  val l16 = SELF.value\n  val func17 = {(box17: Box) =>\n    val coll19 = box17.propositionBytes\n    val bool20 = coll19 == coll3\n    bool20\n  }\n  val coll18 = OUTPUTS.filter(func17)\n  val box19 = coll18.getOrElse(i6, SELF)\n  val coll20 = box19.tokens\n  val tuple21 = coll20(placeholder[Int](6))\n  val l22 = tuple21._2\n  val i23 = INPUTS.indexOf(SELF, placeholder[Int](7))\n  val bi24 = placeholder[BigInt](8)\n  val bi25 = CONTEXT.dataInputs.filter({(box25: Box) =>\n      val coll27 = box25.tokens\n      (coll27.size > placeholder[Int](9)) && (coll27(placeholder[Int](10))._1 == placeholder[Coll[Byte]](11))\n    })(placeholder[Int](12)).R5[BigInt].get\n  val l26 = tuple10._2\n  val bi27 = l26.toBigInt\n  val coll28 = coll9.slice(placeholder[Int](13), coll9.size)\n  val coll29 = placeholder[Coll[Byte]](14)\n  val func30 = {(box30: Box) =>\n    val coll32 = box30.propositionBytes\n    val coll33 = blake2b256(coll32)\n    val bool34 = coll33 == coll4\n    bool34\n  }\n  val coll31 = OUTPUTS.filter(func30)\n  val box32 = coll31.getOrElse(i23, SELF)\n  val coll33 = box32.tokens\n  val tuple34 = coll33(placeholder[Int](15))\n  val l35 = coll7(placeholder[Int](16))\n  val i36 = coll5.size\n  val bool37 = i36 == placeholder[Int](17)\n  val l38 = HEIGHT.toLong\n  val l39 = coll7(placeholder[Int](18))\n  val l40 = coll7(placeholder[Int](19))\n  val l41 = l39 + l40\n  val l42 = coll7(placeholder[Int](20))\n  val coll43 = coll15.slice(placeholder[Int](21), placeholder[Int](22))\n  val coll44 = coll15.slice(placeholder[Int](23), placeholder[Int](24))\n  val l45 = coll7(placeholder[Int](25))\n  val bi46 = bi27 * bi25 / bi24\n  val bi47 = if (l38 < l41) {(\n    val i47 = placeholder[Int](26)\n    bi46 * l45.toBigInt + i47.toBigInt / i47.toBigInt\n  )} else { bi46 }\n  val box48 = coll31.getOrElse(placeholder[Int](27), SELF)\n  val coll49 = box48.tokens\n  val tuple50 = coll49(placeholder[Int](28))\n  val func51 = {(box51: Box) =>\n    val coll53 = box51.propositionBytes\n    val coll54 = blake2b256(coll53)\n    val bool55 = coll54 == coll4\n    bool55\n  }\n  val coll52 = OUTPUTS.filter(func51)\n  val box53 = coll52.getOrElse(placeholder[Int](29), SELF)\n  val coll54 = box53.tokens\n  val tuple55 = coll54(placeholder[Int](30))\n  if (coll2.size > placeholder[Int](31)) {(\n    val func56 = func17\n    val coll57 = coll18\n    val i58 = coll57.size\n    val func59 = func30\n    val coll60 = coll31\n    val box61 = coll2.getOrElse(i6, SELF)\n    val coll62 = box61.R4[Coll[Long]].get\n    val l63 = coll62(placeholder[Int](32))\n    val l64 = coll62(placeholder[Int](33))\n    if (i58 > placeholder[Int](34)) {(\n      val box65 = box19\n      val bool66 = OUTPUTS.map({(box66: Box) => box66.id }).indexOf(box65.id, placeholder[Int](35)) == box61.R9[Coll[Int]].get(\n        placeholder[Int](36)\n      ) - placeholder[Int](37)\n      val l67 = box65.value\n      val coll68 = coll20\n      val tuple69 = tuple21\n      val coll70 = box65.R4[Coll[Byte]].get\n      val ge71 = box65.R5[GroupElement].get\n      val coll72 = box65.R7[Coll[Byte]].get\n      val bool73 = ((((l67 >= l8) && (tuple69._1 == coll11)) && (coll70 == coll12)) && (ge71 == ge13)) && (coll72 == coll1)\n      val coll74 = box65.R8[Coll[Byte]].get\n      val l75 = box65.R6[Long].get\n      val coll76 = box65.R9[Coll[Long]].get\n      val bool77 = coll76.slice(placeholder[Int](38), placeholder[Int](39)) == coll7.slice(placeholder[Int](40), placeholder[Int](41))\n      if (coll60.size > placeholder[Int](42)) {(\n        val bi78 = l22.toBigInt\n        val box79 = box32\n        val coll80 = coll33\n        val tuple81 = coll80(placeholder[Int](43))\n        val tuple82 = tuple34\n        sigmaProp(\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          ((((bool73 && bool66) && (coll15 == coll74)) && (l67 >= l16)) && (l67 <= l16 + placeholder[Long](44))) && (\n                            bi78 >= bi27 - tuple81._2.toBigInt * bi24 / bi25\n                          )\n                        ) && (coll68.slice(placeholder[Int](45), coll68.size) == coll28)\n                      ) && (l75 == l14)\n                    ) && bool77\n                  ) && (((box79.value >= placeholder[Long](46)) && (tuple82._1 == coll11)) && (tuple81._1 == coll29))\n                ) && (tuple82._2 == l26 - l22)\n              ) && (l63.toBigInt >= bi78 * bi25 / bi24 * l35.toBigInt / placeholder[Int](47).toBigInt)\n            ) && bool37\n          ) && (l38 >= l41)\n        )\n      )} else {(\n        val bi78 = l63.toBigInt\n        val i79 = placeholder[Int](48)\n        val bi80 = l22.toBigInt * bi25 / bi24 * l35.toBigInt / i79.toBigInt\n        val bool81 = bi78 >= bi80\n        val prop82 = sigmaProp(INPUTS.filter({(box82: Box) =>\n              val coll84 = box82.tokens\n              ((coll84.size > placeholder[Int](49)) && (coll84(placeholder[Int](50))._1 == coll43)) && (box82.R9[Coll[Coll[Byte]]].get(i23) == coll44)\n            }).size > placeholder[Int](51)) || proveDlog(ge13)\n        sigmaProp(\n          (\n            (\n              (\n                (\n                  (\n                    ((((bool73 && bool66) && (coll15 == coll74)) && (l67 >= l16 - placeholder[Long](52))) && (l67 <= l16 + placeholder[Long](53))) && (\n                      coll68 == coll9\n                    )\n                  ) && (l75 > l38 + l42)\n                ) && (l75 < l38 + l42 + placeholder[Long](54))\n              ) && (bi78 < bi80)\n            ) && bool77\n          ) && bool37\n        ) || sigmaProp(\n          (\n            (\n              (\n                (\n                  (\n                    ((((bool73 && bool66) && (coll15 == coll74)) && (l67 >= l16 - placeholder[Long](55))) && (l67 <= l16 + placeholder[Long](56))) && (\n                      coll68 == coll9\n                    )\n                  ) && (l14 != placeholder[Long](57))\n                ) && (l75 == placeholder[Long](58))\n              ) && bool81\n            ) && bool77\n          ) && bool37\n        ) || prop82 && sigmaProp(\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          ((((bool73 && bool66) && (coll15 == coll74)) && (bi78 >= bi47 * l64.toBigInt / i79.toBigInt)) && (tuple69 == tuple10)) && (\n                            l75 == placeholder[Long](59)\n                          )\n                        ) && bool81\n                      ) && ((coll76(placeholder[Int](60)) == l64) && (coll76(placeholder[Int](61)) == coll62(placeholder[Int](62))))\n                    ) && (i36 == i58)\n                  ) && (coll76(placeholder[Int](63)) == l42)\n                ) && (coll76(placeholder[Int](64)) == l8)\n              ) && (coll76(placeholder[Int](65)) == l39)\n            ) && (coll76(placeholder[Int](66)) == l45)\n          ) && (coll76(placeholder[Int](67)) == l40)\n        ) || prop82 && sigmaProp(\n          ((((((bool73 && (l67 == l16)) && (coll68 == coll9)) && (coll70 == coll12)) && (ge71 == ge13)) && (coll72 == coll1)) && (coll76 == coll7)) && (\n            i36 == i58\n          )\n        )\n      )}\n    )} else {(\n      val bi65 = l63.toBigInt\n      val i66 = placeholder[Int](68)\n      val box67 = box48\n      val coll68 = coll49\n      val tuple69 = tuple50\n      val tuple70 = coll68(placeholder[Int](69))\n      val coll71 = SELF.id\n      val bi72 = bi65 - bi47\n      val bi73 = coll7(placeholder[Int](70)).toBigInt\n      val bi74 = bi72 * i66.toBigInt - bi73 / i66.toBigInt\n      val l75 = tuple70._2\n      sigmaProp(\n        (\n          (\n            (\n              (\n                (((bi65 <= bi47 * l35.toBigInt / i66.toBigInt) && (l38 >= l14)) || (l38 > SELF.creationInfo._1.toLong + placeholder[Long](71))) && (\n                  (((box67.value >= placeholder[Long](72)) && (tuple69._1 == coll11)) && (tuple70._1 == coll29)) && (box67.id != coll71)\n                )\n              ) && (tuple69._2 == l26)\n            ) && if (bi74 < placeholder[BigInt](73)) { l75.toBigInt >= bi65 } else {(\n              val box76 = OUTPUTS.filter({(box76: Box) => box76.propositionBytes == coll12 }).getOrElse(placeholder[Int](74), SELF)\n              val tuple77 = box76.tokens(placeholder[Int](75))\n              (((l75.toBigInt >= bi47 + bi72 * bi73 / i66.toBigInt) && (tuple77._2.toBigInt >= bi74)) && (tuple77._1 == coll29)) && (box76.id != coll71)\n            )}\n          ) && (\n            INPUTS.map({(box76: Box) => box76.id }).indexOf(coll71, placeholder[Int](76)) == box61.R9[Coll[Int]].get(placeholder[Int](77)) * placeholder[Int](\n              78\n            ) - placeholder[Int](79)\n          )\n        ) && bool37\n      )\n    )}\n  )} else {(\n    val func56 = func51\n    val coll57 = coll52\n    val box58 = box53\n    val coll59 = coll54\n    val tuple60 = tuple55\n    val tuple61 = coll59(placeholder[Int](80))\n    sigmaProp(\n      (\n        (\n          (\n            ((((box58.value >= placeholder[Long](81)) && (tuple60._1 == coll11)) && (tuple61._1 == coll29)) && (box58.id != SELF.id)) && (tuple60._2 == l26)\n          ) && (tuple61._2.toBigInt > bi47)\n        ) && if (INPUTS.filter({(box62: Box) =>\n            val coll64 = box62.tokens\n            ((coll64.size > placeholder[Int](82)) && (coll64(placeholder[Int](83))._1 == coll43)) && (box62.R9[Coll[Coll[Byte]]].get(i23) == coll44)\n          }).size > placeholder[Int](84)) { placeholder[Boolean](85) } else {(\n          val box62 = OUTPUTS.filter({(box62: Box) => box62.propositionBytes == coll12 }).getOrElse(placeholder[Int](86), SELF)\n          ((box62.value >= l16 - placeholder[Long](87)) && (box62.tokens == coll28)) && (box62.id != SELF.id)\n        )}\n      ) && bool37\n    )\n  )}\n}",
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      "assets": [
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          "index": 0,
          "amount": 4000000,
          "name": "Borrow Token QUACKS - Beta-2.0",
          "decimals": 9,
          "type": "EIP-004"
        }
      ],
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          "sigmaType": "SGroupElement",
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        "R8": {
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          "sigmaType": "Coll[SByte]",
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      "settlementHeight": 1722188,
      "ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
      "address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
      "assets": [
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          "index": 0,
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          "name": "QUACKS",
          "decimals": 6,
          "type": "EIP-004"
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      "creationHeight": 1722187,
      "settlementHeight": 1722188,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 4\n6: 4\n7: 5\n8: 5\n9: 6\n10: 6\n11: 8\n12: 8\n13: 7\n14: 7\n15: 1\n16: 0\n17: 0\n18: 1\n19: -1\n20: 1\n21: 1\n22: CBigInt(0)\n23: CBigInt(2)\n24: CBigInt(100)\n25: CBigInt(1000)\n26: 0\n27: 2\n28: 5000000\n29: 1000000000000\n30: 1\n31: 0\n32: SigmaProp(ProveDlog(ECPoint(dda8fe,c3416e,...)))\n33: 2\n34: 1\n35: 3\n36: 1000\n37: 0\n38: 30\n39: 0\n40: 0\n41: 2\n42: 1\n43: 2\n44: 1001\n45: 1\n46: 0\n47: 2\n48: 0\n49: 1\n50: 0\n51: 0\n52: 4000000\n53: 1\n54: 0\n55: 1000\n56: 0\n57: 0\n58: 9\n59: 9\n60: 0\n61: 0\n62: 0",
      "ergoTreeScript": "{\n  val coll1 = SELF.propositionBytes\n  val box2 = OUTPUTS.filter({(box2: Box) =>\n      val coll4 = box2.tokens\n      (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1)) == SELF.tokens(placeholder[Int](2)))\n    })(placeholder[Int](3))\n  val coll3 = box2.propositionBytes\n  val coll4 = box2.R4[Coll[Long]].get\n  val l5 = coll4(placeholder[Int](4))\n  val coll6 = SELF.R4[Coll[Long]].get\n  val l7 = coll6(placeholder[Int](5))\n  val l8 = coll4(placeholder[Int](6))\n  val l9 = coll6(placeholder[Int](7))\n  val l10 = coll4(placeholder[Int](8))\n  val l11 = coll6(placeholder[Int](9))\n  val l12 = coll4(placeholder[Int](10))\n  val l13 = coll6(placeholder[Int](11))\n  val l14 = coll4(placeholder[Int](12))\n  val l15 = coll6(placeholder[Int](13))\n  val l16 = coll4(placeholder[Int](14))\n  val coll17 = SELF.R5[Coll[Coll[Byte]]].get\n  val coll18 = box2.R5[Coll[Coll[Byte]]].get\n  val coll19 = SELF.R6[Coll[Long]].get\n  val coll20 = box2.R6[Coll[Long]].get\n  val coll21 = CONTEXT.dataInputs\n  val coll22 = box2.R9[Coll[Int]].get\n  val i23 = coll22(placeholder[Int](15))\n  val box24 = coll21(i23)\n  val coll25 = box24.tokens\n  val i26 = coll22(placeholder[Int](16))\n  val box27 = if (i26 > placeholder[Int](17)) { OUTPUTS(i26 - placeholder[Int](18)) } else { INPUTS(i26 * placeholder[Int](19) - placeholder[Int](20)) }\n  val bi28 = box27.value.toBigInt\n  val coll29 = coll21.slice(i23 + placeholder[Int](21), coll21.size)\n  val coll30 = box2.R7[Coll[Long]].get\n  val bi31 = placeholder[BigInt](22)\n  val bi32 = placeholder[BigInt](23)\n  val bi33 = placeholder[BigInt](24)\n  val bi34 = placeholder[BigInt](25)\n  val bi35 = bi28 + coll29.zip(coll30).fold(bi31, {(tuple35: (BigInt, (Box, Long))) =>\n      val tuple37 = tuple35._2\n      val l38 = tuple37._2\n      val box39 = tuple37._1\n      val bi40 = tuple35._1\n      if (l38 > placeholder[Long](26)) {(\n        val bi41 = l38.toBigInt\n        val bi42 = box39.R4[Int].get.toBigInt\n        val bi43 = box39.tokens(placeholder[Int](27))._2.toBigInt\n        bi40 + box39.value.toBigInt * bi41 * bi42 / bi43 + bi43 * bi32 / bi33 * bi34 + bi41 * bi42\n      )} else { bi40 }\n    }) - placeholder[Int](28).toBigInt\n  val bi36 = box24.R4[Int].get.toBigInt\n  val bi37 = box24.value.toBigInt\n  val l38 = placeholder[Long](29)\n  val coll39 = box27.tokens\n  val i40 = coll39.size\n  val coll41 = box2.R8[Coll[Coll[Byte]]].get\n  val coll42 = coll18.slice(placeholder[Int](30), coll18.size)\n  val i43 = coll29.size\n  val i44 = coll30.size\n  sigmaProp(\n    (\n      (\n        (\n          (\n            (\n              (((((coll1 == coll3) && (SELF.value == box2.value)) && (SELF.tokens == box2.tokens)) && (l5 == placeholder[Long](31))) && (l7 == l8)) && (\n                l9 == l10\n              )\n            ) && (l11 == l12)\n          ) && (l13 == l14)\n        ) && (l15 == l16)\n      ) && (coll17 == coll18)\n    ) && (coll19 == coll20)\n  ) && placeholder[SigmaProp](32) || sigmaProp(\n    (\n      (\n        (\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (\n                              (\n                                (\n                                  ((coll3 == coll1) && ((coll18 == coll17) && (coll20 == coll19))) && (\n                                    coll25(placeholder[Int](33))._2.toBigInt * bi35 * bi36 / bi37 + bi37 * bi32 / bi33 * bi34 + bi35 * bi36 == coll4(\n                                      placeholder[Int](34)\n                                    ).toBigInt\n                                  )\n                                ) && (max(min(coll4(placeholder[Int](35)), placeholder[Long](36)), placeholder[Long](37)) == placeholder[Long](38))\n                              ) && (bi28 * l38.toBigInt * coll20(placeholder[Int](39)).toBigInt / bi35 + coll30.indices.fold(bi31, {(tuple45: (BigInt, Int)) =>\n                                    val i47 = tuple45._2\n                                    val l48 = coll30(i47)\n                                    val bi49 = tuple45._1\n                                    if (l48 > placeholder[Long](40)) {(\n                                      val box50 = coll29(i47)\n                                      val bi51 = l48.toBigInt\n                                      val bi52 = box50.R4[Int].get.toBigInt\n                                      val bi53 = box50.tokens(placeholder[Int](41))._2.toBigInt\n                                      bi49 + box50.value.toBigInt * bi51 * bi52 / bi53 + bi53 * bi32 / bi33 * bi34 + bi51 * bi52 * l38.toBigInt * coll20.slice(placeholder[Int](42), coll20.size)(i47).toBigInt / bi35\n                                    )} else { bi49 }\n                                  }) / l38.toBigInt == max(coll4(placeholder[Int](43)), placeholder[Long](44)).toBigInt)\n                            ) && coll39.slice(placeholder[Int](45), i40).forall(\n                              {(tuple45: (Coll[Byte], Long)) => coll41.zip(coll30).exists({(tuple47: (Coll[Byte], Long)) => tuple47 == tuple45 }) }\n                            )\n                          ) && coll42.indices.forall({(i45: Int) =>\n                              val coll47 = coll29(i45).tokens\n                              (coll42(i45) == coll47(placeholder[Int](46))._1) && (coll41(i45) == coll47(placeholder[Int](47))._1)\n                            })\n                        ) && ((i43 == i44) && (i43 == coll42.size))\n                      ) && (i44 == coll41.size)\n                    ) && (coll30.filter({(l45: Long) => l45 == placeholder[Long](48) }).size == i44 - i40 - placeholder[Int](49))\n                  ) && (coll6(placeholder[Int](50)) == max(l5, placeholder[Long](51)))\n                ) && (l7 == max(l8, placeholder[Long](52)))\n              ) && (l9 == max(l10, placeholder[Long](53)))\n            ) && (l11 == max(l12, placeholder[Long](54)))\n          ) && (l15 == max(min(l16, placeholder[Long](55)), placeholder[Long](56)))\n        ) && (l13 == max(l14, placeholder[Long](57)))\n      ) && (coll6(placeholder[Int](58)) == max(coll4(placeholder[Int](59)), placeholder[Long](60)))\n    ) && (coll25(placeholder[Int](61))._1 == coll18(placeholder[Int](62)))\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "56bc77d10a28b3e4665c903ff38984fb74962d06a14775713d21ace659ac8e82",
          "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": "110a80a0b787e905e6f1f80bb6163c8087a70e1000641e80b48913",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[100000000000,12524659,1435,30,15000000,8,0,50,15,20000000]"
        }
      },
      "spentTransactionId": "bcf81e5cb74fad50b6e658161dfa72d623be86855651e4407ac93c7190726cd2",
      "mainChain": true
    },
    {
      "boxId": "65011cec6dc99e273c0b21c9491c09bb31a73a3508e4b7c197f664113d1cc7f5",
      "transactionId": "aca13b78e009f812e23930ab5e25ec4ca5abe3b1bef66d23b9c674c4b3376018",
      "blockId": "9ff3ca930b2a79a3914cc0ec01a8ed983156424e3e7c454d6e5794d560f227bb",
      "value": 1000000,
      "index": 4,
      "globalIndex": 53576005,
      "creationHeight": 1722187,
      "settlementHeight": 1722188,
      "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": "8f95e7f1d2f41f91948a1f3c60fa5d71adf0d0c2ad526cfb11d9add7f6678c47",
      "mainChain": true
    }
  ],
  "size": 5645,
  "isUnconfirmed": false
}