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Transaction

1/2/2026 07:18:51 AM
ID: 9563b117cb...8f1b
Inputs (5)
#0
d12b36a5b442...41bd
Spent
Address:
9gSsDJixycev...7zSy
Output transaction:
d92ebca0b6fa...00af
Settlement height:
1,690,331
Value:
0.0072 ERG
Tokens:
Loading assets...
#1
97a62065a905...a010
Spent
Address:
9gSsDJixycev...7zSy
Output transaction:
52e3ae82f01d...be58
Settlement height:
1,690,334
Value:
0.001 ERG
Tokens:
QUACKS
2
#2
108f3f5f1ea3...724e
Spent
Address:
9gSsDJixycev...7zSy
Output transaction:
a78b5eb76c0a...e8d1
Settlement height:
1,690,611
Value:
29.27 ERG
Tokens:
Loading assets...
#3
daa07c913fc8...34ed
Spent
Address:
9fRcTBVcKErJ...MRud
Output transaction:
56b2da4eaa0f...679b
Settlement height:
1,690,329
Value:
0.203 ERG
Tokens:
Borrow Token QUACKS - Beta-2.0
0
#4
7336af5af0ea...09d2
Spent
Address:
2GHGXUgJzMYF...z4aL
Output transaction:
52e3ae82f01d...be58
Settlement height:
1,690,334
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (7)
#0
bdd3b486da39...db3a
Spent
Address:
3LwZcoQb73au...kG19
Spent in transaction:
94465e52ca99...cce5
Settlement height:
1,690,882
Value:
0.001 ERG
Tokens:
Loading assets...
#1
02b7542b03e4...cc85
Spent
Address:
9fRcTBVcKErJ...MRud
Spent in transaction:
a236afaa8eb4...5cf6
Settlement height:
1,690,882
Value:
0.203 ERG
Tokens:
Borrow Token QUACKS - Beta-2.0
0
#2
70d1177ba243...5e1a
Spent
Address:
9gSsDJixycev...7zSy
Spent in transaction:
94465e52ca99...cce5
Settlement height:
1,690,882
Value:
29.27 ERG
Tokens:
Loading assets...
#3
34b8c9b5c799...8085
Spent
Address:
9gSsDJixycev...7zSy
Spent in transaction:
51f4e61d4dac...9a0c
Settlement height:
1,690,882
Value:
0.0072 ERG
Tokens:
Loading assets...
#4
8d3a00db0584...4a05
Spent
Address:
9gSsDJixycev...7zSy
Spent in transaction:
51f4e61d4dac...9a0c
Settlement height:
1,690,882
Value:
0.001 ERG
#5
86b5b3accc89...b022
Spent
Address:
2GHGXUgJzMYF...z4aL
Spent in transaction:
94465e52ca99...cce5
Settlement height:
1,690,882
Value:
0.001 ERG
Tokens:
Loading assets...
#6
a6c79b61ec45...69a0
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
9259ab6c57d8...a76f
Settlement height:
1,690,882
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 8.72 KB
Received time: 1/2/2026 07:18:51 AM
Included in blocks: 1,690,882
Confirmations: 77,491
Total coins transferred: 29.49 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000224 ERG
Raw Transaction Data
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  "inclusionHeight": 1690882,
  "timestamp": 1767338331317,
  "index": 3,
  "globalIndex": 10074606,
  "numConfirmations": 77491,
  "inputs": [
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        {
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          "index": 8,
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        {
          "tokenId": "acf045d8a7b468384f5b92ac174666443bfbcb80984b9c077b4ea5caca7ec2ef",
          "index": 9,
          "amount": 10805,
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        {
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          "index": 10,
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          "index": 11,
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        {
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          "index": 12,
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        {
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      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-44,17,44,8,36,-116,93,38,49,-20,-62,74,-14,-64,-45,76,-120,-101,-44,10,26,-70,-85,103,-94,33,-85,-13,-73,-91,36,-19)\n3: 3\n4: 0\n5: 0\n6: 0\n7: CBigInt(10000000000000000)\n8: 0\n9: 0\n10: Coll(122,87,-29,28,-113,-125,-2,-73,115,39,-36,-56,79,5,93,85,59,-3,-121,48,51,-2,84,-7,35,85,-67,-125,-55,114,75,-96)\n11: 0\n12: 1\n13: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n14: 0\n15: 0\n16: 0\n17: 1\n18: 5\n19: 7\n20: 2\n21: 0\n22: 32\n23: 32\n24: 40\n25: 6\n26: 1000\n27: 0\n28: 0\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 2\n35: 0\n36: 0\n37: 0\n38: 1\n39: 0\n40: 1\n41: 10000000\n42: 1\n43: 1000000\n44: 1000\n45: 1000\n46: 0\n47: 0\n48: 0\n49: 1000000\n50: 10000000\n51: 5\n52: 1000000\n53: 10000000\n54: 100000000\n55: 100000000\n56: 100000000\n57: 0\n58: 1\n59: 3\n60: 2\n61: 3\n62: 5\n63: 6\n64: 7\n65: 1000\n66: 1\n67: 1\n68: 980000\n69: 1000000\n70: CBigInt(1)\n71: 0\n72: 0\n73: 0\n74: 0\n75: -1\n76: 1\n77: 1\n78: 2000000\n79: 0\n80: 0\n81: 0\n82: true\n83: 0\n84: 1000000",
      "ergoTreeScript": "{\n  val coll1 = SELF.R7[Coll[Byte]].get\n  val coll2 = OUTPUTS.filter({(box2: Box) =>\n      val coll4 = box2.tokens\n      (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == coll1)\n    })\n  val coll3 = SELF.propositionBytes\n  val coll4 = placeholder[Coll[Byte]](2)\n  val coll5 = SELF.R9[Coll[Long]].get\n  val l6 = coll5(placeholder[Int](3))\n  val coll7 = SELF.tokens\n  val tuple8 = coll7(placeholder[Int](4))\n  val coll9 = tuple8._1\n  val coll10 = SELF.R4[Coll[Byte]].get\n  val ge11 = SELF.R5[GroupElement].get\n  val l12 = SELF.R6[Long].get\n  val coll13 = SELF.R8[Coll[Byte]].get\n  val l14 = SELF.value\n  val func15 = {(box15: Box) =>\n    val coll17 = box15.propositionBytes\n    val bool18 = coll17 == coll3\n    bool18\n  }\n  val coll16 = OUTPUTS.filter(func15)\n  val box17 = coll16.getOrElse(placeholder[Int](5), SELF)\n  val coll18 = box17.tokens\n  val tuple19 = coll18(placeholder[Int](6))\n  val l20 = tuple19._2\n  val bi21 = placeholder[BigInt](7)\n  val bi22 = CONTEXT.dataInputs.filter({(box22: Box) =>\n      val coll24 = box22.tokens\n      (coll24.size > placeholder[Int](8)) && (coll24(placeholder[Int](9))._1 == placeholder[Coll[Byte]](10))\n    })(placeholder[Int](11)).R5[BigInt].get\n  val l23 = tuple8._2\n  val bi24 = l23.toBigInt\n  val coll25 = coll7.slice(placeholder[Int](12), coll7.size)\n  val coll26 = placeholder[Coll[Byte]](13)\n  val func27 = {(box27: Box) =>\n    val coll29 = box27.propositionBytes\n    val coll30 = blake2b256(coll29)\n    val bool31 = coll30 == coll4\n    bool31\n  }\n  val coll28 = OUTPUTS.filter(func27)\n  val box29 = coll28.getOrElse(placeholder[Int](14), SELF)\n  val coll30 = box29.tokens\n  val tuple31 = coll30(placeholder[Int](15))\n  val l32 = coll5(placeholder[Int](16))\n  val bool33 = INPUTS.filter({(box33: Box) => box33.propositionBytes == coll3 }).size == placeholder[Int](17)\n  val l34 = HEIGHT.toLong\n  val l35 = coll5(placeholder[Int](18))\n  val l36 = coll5(placeholder[Int](19))\n  val l37 = l35 + l36\n  val l38 = coll5(placeholder[Int](20))\n  val coll39 = coll13.slice(placeholder[Int](21), placeholder[Int](22))\n  val coll40 = coll13.slice(placeholder[Int](23), placeholder[Int](24))\n  val l41 = coll5(placeholder[Int](25))\n  val bi42 = bi24 * bi22 / bi21\n  val bi43 = if (l34 < l37) {(\n    val i43 = placeholder[Int](26)\n    bi42 * l41.toBigInt + i43.toBigInt / i43.toBigInt\n  )} else { bi42 }\n  val box44 = coll28.getOrElse(placeholder[Int](27), SELF)\n  val coll45 = box44.tokens\n  val tuple46 = coll45(placeholder[Int](28))\n  val func47 = {(box47: Box) =>\n    val coll49 = box47.propositionBytes\n    val coll50 = blake2b256(coll49)\n    val bool51 = coll50 == coll4\n    bool51\n  }\n  val coll48 = OUTPUTS.filter(func47)\n  val box49 = coll48.getOrElse(placeholder[Int](29), SELF)\n  val coll50 = box49.tokens\n  val tuple51 = coll50(placeholder[Int](30))\n  if (coll2.size > placeholder[Int](31)) {(\n    val func52 = func15\n    val coll53 = coll16\n    val func54 = func27\n    val coll55 = coll28\n    val box56 = coll2.getOrElse(placeholder[Int](32), SELF)\n    val coll57 = box56.R4[Coll[Long]].get\n    val l58 = coll57(placeholder[Int](33))\n    val l59 = coll57(placeholder[Int](34))\n    if (coll53.size > placeholder[Int](35)) {(\n      val box60 = box17\n      val bool61 = OUTPUTS.map({(box61: Box) => box61.id }).indexOf(box60.id, placeholder[Int](36)) == box56.R9[Coll[Int]].get(\n        placeholder[Int](37)\n      ) - placeholder[Int](38)\n      val l62 = box60.value\n      val coll63 = coll18\n      val tuple64 = tuple19\n      val coll65 = box60.R4[Coll[Byte]].get\n      val ge66 = box60.R5[GroupElement].get\n      val coll67 = box60.R7[Coll[Byte]].get\n      val bool68 = ((((l62 >= l6) && (tuple64._1 == coll9)) && (coll65 == coll10)) && (ge66 == ge11)) && (coll67 == coll1)\n      val coll69 = box60.R8[Coll[Byte]].get\n      val l70 = box60.R6[Long].get\n      val coll71 = box60.R9[Coll[Long]].get\n      val bool72 = coll71 == coll5\n      if (coll55.size > placeholder[Int](39)) {(\n        val bi73 = l20.toBigInt\n        val box74 = box29\n        val coll75 = coll30\n        val tuple76 = coll75(placeholder[Int](40))\n        val tuple77 = tuple31\n        sigmaProp(\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          ((((bool68 && bool61) && (coll13 == coll69)) && (l62 >= l14)) && (l62 <= l14 + placeholder[Long](41))) && (\n                            bi73 >= bi24 - tuple76._2.toBigInt * bi21 / bi22\n                          )\n                        ) && (coll63.slice(placeholder[Int](42), coll63.size) == coll25)\n                      ) && (l70 == l12)\n                    ) && bool72\n                  ) && (((box74.value >= placeholder[Long](43)) && (tuple77._1 == coll9)) && (tuple76._1 == coll26))\n                ) && (tuple77._2 == l23 - l20)\n              ) && (l58.toBigInt >= bi73 * bi22 / bi21 * l32.toBigInt / placeholder[Int](44).toBigInt)\n            ) && bool33\n          ) && (l34 >= l37)\n        )\n      )} else {(\n        val bi73 = l58.toBigInt\n        val i74 = placeholder[Int](45)\n        val bi75 = l20.toBigInt * bi22 / bi21 * l32.toBigInt / i74.toBigInt\n        val bool76 = bi73 >= bi75\n        val prop77 = sigmaProp(INPUTS.filter({(box77: Box) =>\n              val coll79 = box77.tokens\n              ((coll79.size > placeholder[Int](46)) && (coll79(placeholder[Int](47))._1 == coll39)) && (box77.R9[Coll[Byte]].get == coll40)\n            }).size > placeholder[Int](48)) || proveDlog(ge11)\n        sigmaProp(\n          (\n            (\n              (\n                (\n                  (\n                    ((((bool68 && bool61) && (coll13 == coll69)) && (l62 >= l14 - placeholder[Long](49))) && (l62 <= l14 + placeholder[Long](50))) && (\n                      coll63 == coll7\n                    )\n                  ) && (l70 > l34 + l38)\n                ) && (l70 < l34 + l38 + placeholder[Long](51))\n              ) && (bi73 < bi75)\n            ) && bool72\n          ) && bool33\n        ) || sigmaProp(\n          (\n            (\n              (\n                (\n                  (\n                    ((((bool68 && bool61) && (coll13 == coll69)) && (l62 >= l14 - placeholder[Long](52))) && (l62 <= l14 + placeholder[Long](53))) && (\n                      coll63 == coll7\n                    )\n                  ) && (l12 != placeholder[Long](54))\n                ) && (l70 == placeholder[Long](55))\n              ) && bool76\n            ) && bool72\n          ) && bool33\n        ) || prop77 && sigmaProp(\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          ((((bool68 && bool61) && (coll13 == coll69)) && (bi73 >= bi43 * l59.toBigInt / i74.toBigInt)) && (tuple64 == tuple8)) && (\n                            l70 == placeholder[Long](56)\n                          )\n                        ) && bool76\n                      ) && ((coll71(placeholder[Int](57)) == l59) && (coll71(placeholder[Int](58)) == coll57(placeholder[Int](59))))\n                    ) && bool33\n                  ) && (coll71(placeholder[Int](60)) == l38)\n                ) && (coll71(placeholder[Int](61)) == l6)\n              ) && (coll71(placeholder[Int](62)) == l35)\n            ) && (coll71(placeholder[Int](63)) == l41)\n          ) && (coll71(placeholder[Int](64)) == l36)\n        ) || prop77 && sigmaProp((((((bool68 && (l62 == l14)) && (coll63 == coll7)) && (coll65 == coll10)) && (ge66 == ge11)) && (coll67 == coll1)) && bool72)\n      )}\n    )} else {(\n      val bi60 = l58.toBigInt\n      val i61 = placeholder[Int](65)\n      val box62 = box44\n      val coll63 = coll45\n      val tuple64 = tuple46\n      val tuple65 = coll63(placeholder[Int](66))\n      val coll66 = SELF.id\n      val bi67 = bi60 - bi43\n      val bi68 = coll5(placeholder[Int](67)).toBigInt\n      val bi69 = bi67 * i61.toBigInt - bi68 / i61.toBigInt\n      val l70 = tuple65._2\n      sigmaProp(\n        (\n          (\n            (\n              (\n                (((bi60 <= bi43 * l32.toBigInt / i61.toBigInt) && (l34 >= l12)) || (l34 > SELF.creationInfo._1.toLong + placeholder[Long](68))) && (\n                  (((box62.value >= placeholder[Long](69)) && (tuple64._1 == coll9)) && (tuple65._1 == coll26)) && (box62.id != coll66)\n                )\n              ) && (tuple64._2 == l23)\n            ) && if (bi69 < placeholder[BigInt](70)) { l70.toBigInt >= bi60 } else {(\n              val box71 = OUTPUTS.filter({(box71: Box) => box71.propositionBytes == coll10 }).getOrElse(placeholder[Int](71), SELF)\n              val tuple72 = box71.tokens(placeholder[Int](72))\n              (((l70.toBigInt >= bi43 + bi67 * bi68 / i61.toBigInt) && (tuple72._2.toBigInt >= bi69)) && (tuple72._1 == coll26)) && (box71.id != coll66)\n            )}\n          ) && (\n            INPUTS.map({(box71: Box) => box71.id }).indexOf(coll66, placeholder[Int](73)) == box56.R9[Coll[Int]].get(placeholder[Int](74)) * placeholder[Int](\n              75\n            ) - placeholder[Int](76)\n          )\n        ) && bool33\n      )\n    )}\n  )} else {(\n    val func52 = func47\n    val coll53 = coll48\n    val box54 = box49\n    val coll55 = coll50\n    val tuple56 = tuple51\n    val tuple57 = coll55(placeholder[Int](77))\n    sigmaProp(\n      (\n        (\n          (((((box54.value >= placeholder[Long](78)) && (tuple56._1 == coll9)) && (tuple57._1 == coll26)) && (box54.id != SELF.id)) && (tuple56._2 == l23)) && (\n            tuple57._2.toBigInt > bi43\n          )\n        ) && if (INPUTS.filter({(box58: Box) =>\n            val coll60 = box58.tokens\n            ((coll60.size > placeholder[Int](79)) && (coll60(placeholder[Int](80))._1 == coll39)) && (box58.R9[Coll[Byte]].get == coll40)\n          }).size > placeholder[Int](81)) { placeholder[Boolean](82) } else {(\n          val box58 = OUTPUTS.filter({(box58: Box) => box58.propositionBytes == coll10 }).getOrElse(placeholder[Int](83), SELF)\n          ((box58.value >= l14 - placeholder[Long](84)) && (box58.tokens == coll25)) && (box58.id != SELF.id)\n        )}\n      ) && bool33\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "7811e443e2fe94a73a11929c7ee3b303be397287be3c07dd8f15696acd5a0fdd",
          "index": 0,
          "amount": 4000000,
          "name": "Borrow Token QUACKS - Beta-2.0",
          "decimals": 9,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
          "sigmaType": "SGroupElement",
          "renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
        },
        "R6": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R8": {
          "serializedValue": "0e0100",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "00"
        },
        "R7": {
          "serializedValue": "0e208380bb138bdbf80fe0cd938ffdd888bf9f98908255032c97e58f8d3e66e82c08",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8380bb138bdbf80fe0cd938ffdd888bf9f98908255032c97e58f8d3e66e82c08"
        },
        "R9": {
          "serializedValue": "1108b6163c108087a70e00b8abce01641e",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1435,30,8,15000000,0,1690332,50,15]"
        },
        "R4": {
          "serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
        }
      }
    },
    {
      "boxId": "7336af5af0ea94e0cb51c51dbb2c66641044a473d328c8ec62bc5573650209d2",
      "value": 1000000,
      "index": 4,
      "spendingProof": null,
      "outputBlockId": "63ac278e157ebb9eb59443eab6f9c271b6db3cae677e2ded215f4c4f4f9d995b",
      "outputTransactionId": "52e3ae82f01daf458b2929a48c3d797300f74bd4298c782250ec309c7216be58",
      "outputIndex": 3,
      "outputGlobalIndex": 52671861,
      "outputCreatedAt": 1690332,
      "outputSettledAt": 1690334,
      "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": "8380bb138bdbf80fe0cd938ffdd888bf9f98908255032c97e58f8d3e66e82c08",
          "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": "110a80a0b787e905fe99f10ab6163c8087a70e1000641e80b48913",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[100000000000,11413119,1435,30,15000000,8,0,50,15,20000000]"
        }
      }
    }
  ],
  "dataInputs": [
    {
      "boxId": "8fb367fb070cd857568326b07b35b74788e0c5a03f45faad1d6f548a930dbbfd",
      "value": 1000000,
      "index": 0,
      "outputBlockId": "5b1371b78e9b10928f03f80e5aca6894fadd8c72fe43177255089c1021916d50",
      "outputTransactionId": "e92eba0251fa471d7ad77785ae9326482a2960cee85bc26b315ade1f94de5621",
      "outputIndex": 0,
      "ergoTree": "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",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "05daaace01",
          "sigmaType": "SLong",
          "renderedValue": "1690285"
        },
        "R5": {
          "serializedValue": "06072386f26fc10000",
          "sigmaType": "SBigInt",
          "renderedValue": "CBigInt(10000000000000000)"
        }
      }
    },
    {
      "boxId": "becf051d8426e4f6b9aab8a97a588471fefdd04b7e0cee50c81ba6d7900b0b32",
      "value": 19016513405769,
      "index": 1,
      "outputBlockId": "b38c677fc0a3c0ef4f2a48ec5ee63b065bd271ae40ad101c0b6f65d975a9449b",
      "outputTransactionId": "62d434e012c060b58f2e5f0f44ecfa096427d80565f36a9df340ca5dd3f8bc81",
      "outputIndex": 0,
      "ergoTree": "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",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "04ca0f",
          "sigmaType": "SInt",
          "renderedValue": "997"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "bdd3b486da39a2802c7f3b0ab3de096e8a7eff6fd39bc748814e50babe9cdb3a",
      "transactionId": "9563b117cbf9d130d5c51e11a342b73ba819b43eba0f32676c4f24d4fd088f1b",
      "blockId": "964b771c225b8ee912f3b2b4feec0b26fc0827cea8e35e7ff272b2c86b0120b1",
      "value": 1000000,
      "index": 0,
      "globalIndex": 52690001,
      "creationHeight": 1690879,
      "settlementHeight": 1690882,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: Coll(41,93,125,72,-67,-6,35,41,74,-114,122,55,74,41,-42,35,116,123,73,20,27,19,12,-115,119,-127,52,70,-5,-76,34,94)\n5: 1100000\n6: 0\n7: 0\n8: 0\n9: 0\n10: 1\n11: 1000\n12: 1000\n13: 0\n14: 0\n15: 0\n16: 0\n17: Coll(-97,25,75,95,8,-128,125,-112,-81,65,64,112,95,124,82,78,32,57,-114,-76,13,-36,96,-40,-19,-7,105,-121,127,31,-58,-42)\n18: 0\n19: CBigInt(10000000000000000)\n20: false",
      "ergoTreeScript": "{\n  val ge1 = SELF.R5[GroupElement].get\n  val coll2 = SELF.tokens\n  val box3 = OUTPUTS.filter({(box3: Box) =>\n      val coll5 = box3.tokens\n      (coll5.size > placeholder[Int](0)) && (coll5(placeholder[Int](1)) == coll2(placeholder[Int](2)))\n    }).getOrElse(placeholder[Int](3), SELF)\n  val l4 = SELF.R6[Long].get\n  val coll5 = SELF.R7[Coll[Byte]].get\n  val i6 = SELF.R8[Int].get\n  val coll7 = INPUTS.filter({(box7: Box) => blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](4) })\n  proveDlog(ge1) || sigmaProp(\n    (\n      (((box3.propositionBytes == SELF.propositionBytes) && (box3.value >= SELF.value - placeholder[Long](5))) && (box3.tokens == coll2)) && (\n        (\n          (((box3.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get) && (box3.R5[GroupElement].get == ge1)) && (box3.R6[Long].get == l4)) && (\n            box3.R7[Coll[Byte]].get == coll5\n          )\n        ) && (box3.R8[Int].get == i6)\n      )\n    ) && (box3.id != SELF.id)\n  ) && sigmaProp(if (coll7.size > placeholder[Int](6)) {(\n      val bi8 = OUTPUTS.filter({(box8: Box) =>\n          val coll10 = box8.tokens\n          (coll10.size > placeholder[Int](7)) && (coll10(placeholder[Int](8))._1 == coll5)\n        })(placeholder[Int](9)).R4[Coll[Long]].get(placeholder[Int](10)).toBigInt\n      bi8 - bi8 * i6.toBigInt / placeholder[Int](11).toBigInt * placeholder[Long](12).toBigInt / coll7(placeholder[Int](13)).tokens(placeholder[Int](14))._2.toBigInt * CONTEXT.dataInputs.filter({(box9: Box) =>\n          val coll11 = box9.tokens\n          (coll11.size > placeholder[Int](15)) && (coll11(placeholder[Int](16))._1 == placeholder[Coll[Byte]](17))\n        })(placeholder[Int](18)).R5[BigInt].get / placeholder[BigInt](19) < l4.toBigInt\n    )} else { placeholder[Boolean](20) })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "d12b36a5b44217d7c7bbec0deabf78c0630f6e1e97b6093d75e88c97b2a541bd",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
          "sigmaType": "SGroupElement",
          "renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
        },
        "R6": {
          "serializedValue": "05e012",
          "sigmaType": "SLong",
          "renderedValue": "1200"
        },
        "R8": {
          "serializedValue": "0414",
          "sigmaType": "SInt",
          "renderedValue": "10"
        },
        "R7": {
          "serializedValue": "0e201c2a2bab656cfcc69bc01e68d7d6a58acb6e46caab389eeecda71378cad83601",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1c2a2bab656cfcc69bc01e68d7d6a58acb6e46caab389eeecda71378cad83601"
        },
        "R9": {
          "serializedValue": "0e08019b7d906e6b6e25",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "019b7d906e6b6e25"
        },
        "R4": {
          "serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
        }
      },
      "spentTransactionId": "94465e52ca993ae5714a400d6f33968704e6570b988802ddc3e8b76d9819cce5",
      "mainChain": true
    },
    {
      "boxId": "02b7542b03e40b57764fccb589e142c13c47c6795e2eb788d46786309222cc85",
      "transactionId": "9563b117cbf9d130d5c51e11a342b73ba819b43eba0f32676c4f24d4fd088f1b",
      "blockId": "964b771c225b8ee912f3b2b4feec0b26fc0827cea8e35e7ff272b2c86b0120b1",
      "value": 203000000,
      "index": 1,
      "globalIndex": 52690002,
      "creationHeight": 1690879,
      "settlementHeight": 1690882,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-44,17,44,8,36,-116,93,38,49,-20,-62,74,-14,-64,-45,76,-120,-101,-44,10,26,-70,-85,103,-94,33,-85,-13,-73,-91,36,-19)\n3: 3\n4: 0\n5: 0\n6: 0\n7: CBigInt(10000000000000000)\n8: 0\n9: 0\n10: Coll(122,87,-29,28,-113,-125,-2,-73,115,39,-36,-56,79,5,93,85,59,-3,-121,48,51,-2,84,-7,35,85,-67,-125,-55,114,75,-96)\n11: 0\n12: 1\n13: Coll(8,-103,-112,69,27,-76,48,-16,90,-123,-12,-17,59,-53,110,-65,-123,43,61,110,-26,-115,-122,-41,-122,88,-71,-52,-17,32,7,79)\n14: 0\n15: 0\n16: 0\n17: 1\n18: 5\n19: 7\n20: 2\n21: 0\n22: 32\n23: 32\n24: 40\n25: 6\n26: 1000\n27: 0\n28: 0\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 2\n35: 0\n36: 0\n37: 0\n38: 1\n39: 0\n40: 1\n41: 10000000\n42: 1\n43: 1000000\n44: 1000\n45: 1000\n46: 0\n47: 0\n48: 0\n49: 1000000\n50: 10000000\n51: 5\n52: 1000000\n53: 10000000\n54: 100000000\n55: 100000000\n56: 100000000\n57: 0\n58: 1\n59: 3\n60: 2\n61: 3\n62: 5\n63: 6\n64: 7\n65: 1000\n66: 1\n67: 1\n68: 980000\n69: 1000000\n70: CBigInt(1)\n71: 0\n72: 0\n73: 0\n74: 0\n75: -1\n76: 1\n77: 1\n78: 2000000\n79: 0\n80: 0\n81: 0\n82: true\n83: 0\n84: 1000000",
      "ergoTreeScript": "{\n  val coll1 = SELF.R7[Coll[Byte]].get\n  val coll2 = OUTPUTS.filter({(box2: Box) =>\n      val coll4 = box2.tokens\n      (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == coll1)\n    })\n  val coll3 = SELF.propositionBytes\n  val coll4 = placeholder[Coll[Byte]](2)\n  val coll5 = SELF.R9[Coll[Long]].get\n  val l6 = coll5(placeholder[Int](3))\n  val coll7 = SELF.tokens\n  val tuple8 = coll7(placeholder[Int](4))\n  val coll9 = tuple8._1\n  val coll10 = SELF.R4[Coll[Byte]].get\n  val ge11 = SELF.R5[GroupElement].get\n  val l12 = SELF.R6[Long].get\n  val coll13 = SELF.R8[Coll[Byte]].get\n  val l14 = SELF.value\n  val func15 = {(box15: Box) =>\n    val coll17 = box15.propositionBytes\n    val bool18 = coll17 == coll3\n    bool18\n  }\n  val coll16 = OUTPUTS.filter(func15)\n  val box17 = coll16.getOrElse(placeholder[Int](5), SELF)\n  val coll18 = box17.tokens\n  val tuple19 = coll18(placeholder[Int](6))\n  val l20 = tuple19._2\n  val bi21 = placeholder[BigInt](7)\n  val bi22 = CONTEXT.dataInputs.filter({(box22: Box) =>\n      val coll24 = box22.tokens\n      (coll24.size > placeholder[Int](8)) && (coll24(placeholder[Int](9))._1 == placeholder[Coll[Byte]](10))\n    })(placeholder[Int](11)).R5[BigInt].get\n  val l23 = tuple8._2\n  val bi24 = l23.toBigInt\n  val coll25 = coll7.slice(placeholder[Int](12), coll7.size)\n  val coll26 = placeholder[Coll[Byte]](13)\n  val func27 = {(box27: Box) =>\n    val coll29 = box27.propositionBytes\n    val coll30 = blake2b256(coll29)\n    val bool31 = coll30 == coll4\n    bool31\n  }\n  val coll28 = OUTPUTS.filter(func27)\n  val box29 = coll28.getOrElse(placeholder[Int](14), SELF)\n  val coll30 = box29.tokens\n  val tuple31 = coll30(placeholder[Int](15))\n  val l32 = coll5(placeholder[Int](16))\n  val bool33 = INPUTS.filter({(box33: Box) => box33.propositionBytes == coll3 }).size == placeholder[Int](17)\n  val l34 = HEIGHT.toLong\n  val l35 = coll5(placeholder[Int](18))\n  val l36 = coll5(placeholder[Int](19))\n  val l37 = l35 + l36\n  val l38 = coll5(placeholder[Int](20))\n  val coll39 = coll13.slice(placeholder[Int](21), placeholder[Int](22))\n  val coll40 = coll13.slice(placeholder[Int](23), placeholder[Int](24))\n  val l41 = coll5(placeholder[Int](25))\n  val bi42 = bi24 * bi22 / bi21\n  val bi43 = if (l34 < l37) {(\n    val i43 = placeholder[Int](26)\n    bi42 * l41.toBigInt + i43.toBigInt / i43.toBigInt\n  )} else { bi42 }\n  val box44 = coll28.getOrElse(placeholder[Int](27), SELF)\n  val coll45 = box44.tokens\n  val tuple46 = coll45(placeholder[Int](28))\n  val func47 = {(box47: Box) =>\n    val coll49 = box47.propositionBytes\n    val coll50 = blake2b256(coll49)\n    val bool51 = coll50 == coll4\n    bool51\n  }\n  val coll48 = OUTPUTS.filter(func47)\n  val box49 = coll48.getOrElse(placeholder[Int](29), SELF)\n  val coll50 = box49.tokens\n  val tuple51 = coll50(placeholder[Int](30))\n  if (coll2.size > placeholder[Int](31)) {(\n    val func52 = func15\n    val coll53 = coll16\n    val func54 = func27\n    val coll55 = coll28\n    val box56 = coll2.getOrElse(placeholder[Int](32), SELF)\n    val coll57 = box56.R4[Coll[Long]].get\n    val l58 = coll57(placeholder[Int](33))\n    val l59 = coll57(placeholder[Int](34))\n    if (coll53.size > placeholder[Int](35)) {(\n      val box60 = box17\n      val bool61 = OUTPUTS.map({(box61: Box) => box61.id }).indexOf(box60.id, placeholder[Int](36)) == box56.R9[Coll[Int]].get(\n        placeholder[Int](37)\n      ) - placeholder[Int](38)\n      val l62 = box60.value\n      val coll63 = coll18\n      val tuple64 = tuple19\n      val coll65 = box60.R4[Coll[Byte]].get\n      val ge66 = box60.R5[GroupElement].get\n      val coll67 = box60.R7[Coll[Byte]].get\n      val bool68 = ((((l62 >= l6) && (tuple64._1 == coll9)) && (coll65 == coll10)) && (ge66 == ge11)) && (coll67 == coll1)\n      val coll69 = box60.R8[Coll[Byte]].get\n      val l70 = box60.R6[Long].get\n      val coll71 = box60.R9[Coll[Long]].get\n      val bool72 = coll71 == coll5\n      if (coll55.size > placeholder[Int](39)) {(\n        val bi73 = l20.toBigInt\n        val box74 = box29\n        val coll75 = coll30\n        val tuple76 = coll75(placeholder[Int](40))\n        val tuple77 = tuple31\n        sigmaProp(\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          ((((bool68 && bool61) && (coll13 == coll69)) && (l62 >= l14)) && (l62 <= l14 + placeholder[Long](41))) && (\n                            bi73 >= bi24 - tuple76._2.toBigInt * bi21 / bi22\n                          )\n                        ) && (coll63.slice(placeholder[Int](42), coll63.size) == coll25)\n                      ) && (l70 == l12)\n                    ) && bool72\n                  ) && (((box74.value >= placeholder[Long](43)) && (tuple77._1 == coll9)) && (tuple76._1 == coll26))\n                ) && (tuple77._2 == l23 - l20)\n              ) && (l58.toBigInt >= bi73 * bi22 / bi21 * l32.toBigInt / placeholder[Int](44).toBigInt)\n            ) && bool33\n          ) && (l34 >= l37)\n        )\n      )} else {(\n        val bi73 = l58.toBigInt\n        val i74 = placeholder[Int](45)\n        val bi75 = l20.toBigInt * bi22 / bi21 * l32.toBigInt / i74.toBigInt\n        val bool76 = bi73 >= bi75\n        val prop77 = sigmaProp(INPUTS.filter({(box77: Box) =>\n              val coll79 = box77.tokens\n              ((coll79.size > placeholder[Int](46)) && (coll79(placeholder[Int](47))._1 == coll39)) && (box77.R9[Coll[Byte]].get == coll40)\n            }).size > placeholder[Int](48)) || proveDlog(ge11)\n        sigmaProp(\n          (\n            (\n              (\n                (\n                  (\n                    ((((bool68 && bool61) && (coll13 == coll69)) && (l62 >= l14 - placeholder[Long](49))) && (l62 <= l14 + placeholder[Long](50))) && (\n                      coll63 == coll7\n                    )\n                  ) && (l70 > l34 + l38)\n                ) && (l70 < l34 + l38 + placeholder[Long](51))\n              ) && (bi73 < bi75)\n            ) && bool72\n          ) && bool33\n        ) || sigmaProp(\n          (\n            (\n              (\n                (\n                  (\n                    ((((bool68 && bool61) && (coll13 == coll69)) && (l62 >= l14 - placeholder[Long](52))) && (l62 <= l14 + placeholder[Long](53))) && (\n                      coll63 == coll7\n                    )\n                  ) && (l12 != placeholder[Long](54))\n                ) && (l70 == placeholder[Long](55))\n              ) && bool76\n            ) && bool72\n          ) && bool33\n        ) || prop77 && sigmaProp(\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          ((((bool68 && bool61) && (coll13 == coll69)) && (bi73 >= bi43 * l59.toBigInt / i74.toBigInt)) && (tuple64 == tuple8)) && (\n                            l70 == placeholder[Long](56)\n                          )\n                        ) && bool76\n                      ) && ((coll71(placeholder[Int](57)) == l59) && (coll71(placeholder[Int](58)) == coll57(placeholder[Int](59))))\n                    ) && bool33\n                  ) && (coll71(placeholder[Int](60)) == l38)\n                ) && (coll71(placeholder[Int](61)) == l6)\n              ) && (coll71(placeholder[Int](62)) == l35)\n            ) && (coll71(placeholder[Int](63)) == l41)\n          ) && (coll71(placeholder[Int](64)) == l36)\n        ) || prop77 && sigmaProp((((((bool68 && (l62 == l14)) && (coll63 == coll7)) && (coll65 == coll10)) && (ge66 == ge11)) && (coll67 == coll1)) && bool72)\n      )}\n    )} else {(\n      val bi60 = l58.toBigInt\n      val i61 = placeholder[Int](65)\n      val box62 = box44\n      val coll63 = coll45\n      val tuple64 = tuple46\n      val tuple65 = coll63(placeholder[Int](66))\n      val coll66 = SELF.id\n      val bi67 = bi60 - bi43\n      val bi68 = coll5(placeholder[Int](67)).toBigInt\n      val bi69 = bi67 * i61.toBigInt - bi68 / i61.toBigInt\n      val l70 = tuple65._2\n      sigmaProp(\n        (\n          (\n            (\n              (\n                (((bi60 <= bi43 * l32.toBigInt / i61.toBigInt) && (l34 >= l12)) || (l34 > SELF.creationInfo._1.toLong + placeholder[Long](68))) && (\n                  (((box62.value >= placeholder[Long](69)) && (tuple64._1 == coll9)) && (tuple65._1 == coll26)) && (box62.id != coll66)\n                )\n              ) && (tuple64._2 == l23)\n            ) && if (bi69 < placeholder[BigInt](70)) { l70.toBigInt >= bi60 } else {(\n              val box71 = OUTPUTS.filter({(box71: Box) => box71.propositionBytes == coll10 }).getOrElse(placeholder[Int](71), SELF)\n              val tuple72 = box71.tokens(placeholder[Int](72))\n              (((l70.toBigInt >= bi43 + bi67 * bi68 / i61.toBigInt) && (tuple72._2.toBigInt >= bi69)) && (tuple72._1 == coll26)) && (box71.id != coll66)\n            )}\n          ) && (\n            INPUTS.map({(box71: Box) => box71.id }).indexOf(coll66, placeholder[Int](73)) == box56.R9[Coll[Int]].get(placeholder[Int](74)) * placeholder[Int](\n              75\n            ) - placeholder[Int](76)\n          )\n        ) && bool33\n      )\n    )}\n  )} else {(\n    val func52 = func47\n    val coll53 = coll48\n    val box54 = box49\n    val coll55 = coll50\n    val tuple56 = tuple51\n    val tuple57 = coll55(placeholder[Int](77))\n    sigmaProp(\n      (\n        (\n          (((((box54.value >= placeholder[Long](78)) && (tuple56._1 == coll9)) && (tuple57._1 == coll26)) && (box54.id != SELF.id)) && (tuple56._2 == l23)) && (\n            tuple57._2.toBigInt > bi43\n          )\n        ) && if (INPUTS.filter({(box58: Box) =>\n            val coll60 = box58.tokens\n            ((coll60.size > placeholder[Int](79)) && (coll60(placeholder[Int](80))._1 == coll39)) && (box58.R9[Coll[Byte]].get == coll40)\n          }).size > placeholder[Int](81)) { placeholder[Boolean](82) } else {(\n          val box58 = OUTPUTS.filter({(box58: Box) => box58.propositionBytes == coll10 }).getOrElse(placeholder[Int](83), SELF)\n          ((box58.value >= l14 - placeholder[Long](84)) && (box58.tokens == coll25)) && (box58.id != SELF.id)\n        )}\n      ) && bool33\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "7811e443e2fe94a73a11929c7ee3b303be397287be3c07dd8f15696acd5a0fdd",
          "index": 0,
          "amount": 4000000,
          "name": "Borrow Token QUACKS - Beta-2.0",
          "decimals": 9,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0702fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
          "sigmaType": "SGroupElement",
          "renderedValue": "02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
        },
        "R6": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R8": {
          "serializedValue": "0e28d12b36a5b44217d7c7bbec0deabf78c0630f6e1e97b6093d75e88c97b2a541bd019b7d906e6b6e25",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d12b36a5b44217d7c7bbec0deabf78c0630f6e1e97b6093d75e88c97b2a541bd019b7d906e6b6e25"
        },
        "R7": {
          "serializedValue": "0e208380bb138bdbf80fe0cd938ffdd888bf9f98908255032c97e58f8d3e66e82c08",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8380bb138bdbf80fe0cd938ffdd888bf9f98908255032c97e58f8d3e66e82c08"
        },
        "R9": {
          "serializedValue": "1108b6163c108087a70e00b8abce01641e",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1435,30,8,15000000,0,1690332,50,15]"
        },
        "R4": {
          "serializedValue": "0e240008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7"
        }
      },
      "spentTransactionId": "a236afaa8eb448f38d795570553630829639abf8bfab69e4e919874463705cf6",
      "mainChain": true
    },
    {
      "boxId": "70d1177ba2436993d4bac859fe08bc010d0438c78bc1351391b1269ad4fa5e1a",
      "transactionId": "9563b117cbf9d130d5c51e11a342b73ba819b43eba0f32676c4f24d4fd088f1b",
      "blockId": "964b771c225b8ee912f3b2b4feec0b26fc0827cea8e35e7ff272b2c86b0120b1",
      "value": 29271813468,
      "index": 2,
      "globalIndex": 52690003,
      "creationHeight": 1690879,
      "settlementHeight": 1690882,
      "ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
      "address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
      "assets": [
        {
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          "index": 0,
          "amount": 12011952,
          "name": "Lend Token QUACKS-2.0",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "fc888e0eed50a4042324793a7894134d83c7aaf5c99f4bf643e7e2b4e71e0095",
          "index": 1,
          "amount": 1324849646,
          "name": "Lend Token ERG-0e",
          "decimals": 9,
          "type": "EIP-004"
        },
        {
          "tokenId": "27d8d66ea9b0c257d1227a5bc975989935fc83e027b63cf90e9bc22e0ee7a5e1",
          "index": 2,
          "amount": 11999999,
          "name": "Lend Token QUACKS - Beta-2.0",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "72f431450530aa0b750918d23ba5f891f08e4840cc37fdc64745a3c3c1353ce8",
          "index": 3,
          "amount": 284,
          "name": "TRUMP 2024",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "5c35c57d2706467ed2fd3c82f419598571d5a747a4a081d04aa509ee9dfa679f",
          "index": 4,
          "amount": 1,
          "name": "junk",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "412198cb0478bc94c45801f85a12fd6f97efe15fb3b67250071c4ad619c52756",
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          "amount": 12011952,
          "name": "Lend Token QUACKS-2.0",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
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          "index": 6,
          "amount": 5,
          "name": "ergopad",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "310ab5680114ccbe3da9e3f71327a312b7320d87a82a8148d5160dfbbf5da70a",
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          "amount": 36127,
          "name": "test m",
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          "type": "EIP-004"
        },
        {
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          "amount": 777213,
          "name": "SigRSV",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "name": "Lend Token RSN-0e",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
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          "index": 10,
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          "name": "Lend Token SigUSD-1e",
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          "type": "EIP-004"
        },
        {
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          "name": "RSN",
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          "type": "EIP-004"
        },
        {
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        },
        {
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        {
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        {
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        },
        {
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        {
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        {
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        {
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        },
        {
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        },
        {
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        },
        {
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        },
        {
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          "type": "EIP-004"
        },
        {
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          "type": "EIP-004"
        },
        {
          "tokenId": "019177c19a288c50ab25f013859aea325ce82847afc8a431ac722958e8255d0d",
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          "name": "Dummy tokens 2",
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          "type": "EIP-004"
        },
        {
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          "name": "Lend Token QUACKS-2.0",
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          "type": "EIP-004"
        },
        {
          "tokenId": "4d5f43e57f4349e57ea552439bd865f5b72d862d6921cd52c9fa41f6732694cc",
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          "name": "ErgoHack VIII Community Awards Stake Key",
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          "type": "EIP-004"
        },
        {
          "tokenId": "8f5529d1f824fdfaf0c6399963c4a5fb38d9b98923f5b076cb89d7e53eb966f1",
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          "name": "Lender Tokens",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0f9ca164a44d1d044de957dd43ab74e184046888864a09d75fe99b6e53c5b5c8",
          "index": 34,
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          "name": "Airdrop Registration Tokens",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "70428c2ddd854be95c6b5e1e4d04a030323a6ebd1b378b7abc1431a2f20fe75e",
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        },
        {
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          "amount": 12011952,
          "name": "Lend Token QUACKS-2.0",
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          "type": "EIP-004"
        },
        {
          "tokenId": "08e83f72302a084c1dd699c310eb9a3cf5d4b6d6dd116bb6a3ce398ab8136beb",
          "index": 37,
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          "index": 18,
          "amount": 208,
          "name": "$Lambo",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "51f4e61d4dac846eb0c09c3cf5ca37851a6bf1d1d6175ac1abd7bfbbdda79a0c",
      "mainChain": true
    },
    {
      "boxId": "8d3a00db05847b05dfd55544193d042330824ddb27095adf042fedd477294a05",
      "transactionId": "9563b117cbf9d130d5c51e11a342b73ba819b43eba0f32676c4f24d4fd088f1b",
      "blockId": "964b771c225b8ee912f3b2b4feec0b26fc0827cea8e35e7ff272b2c86b0120b1",
      "value": 1000000,
      "index": 4,
      "globalIndex": 52690005,
      "creationHeight": 1690879,
      "settlementHeight": 1690882,
      "ergoTree": "0008cd02fdde0388f38cc75ced977fafe3c6a7bf5a513e5b1f666e60b8feed3d6b7513c7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fdde03,8d151a,...)))}",
      "address": "9gSsDJixycevrHL7xxD7dr9R9G3Mi4W7LVohvK1GAjycsJc7zSy",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "51f4e61d4dac846eb0c09c3cf5ca37851a6bf1d1d6175ac1abd7bfbbdda79a0c",
      "mainChain": true
    },
    {
      "boxId": "86b5b3accc8995d8b6b471f808b72bafa718fee073fa8e518254b64b395cb022",
      "transactionId": "9563b117cbf9d130d5c51e11a342b73ba819b43eba0f32676c4f24d4fd088f1b",
      "blockId": "964b771c225b8ee912f3b2b4feec0b26fc0827cea8e35e7ff272b2c86b0120b1",
      "value": 1000000,
      "index": 5,
      "globalIndex": 52690006,
      "creationHeight": 1690879,
      "settlementHeight": 1690882,
      "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": "2GHGXUgJzMYF4HN31PTotrY2azq2t1ueHJABDHu7qYmYHesuDwXARy5xG2FXoSL7Cqk6Cw9rsRtPHb7KTkv9w91ADPrwgz4LfevwpkPLHb5ajsMZsTxyor7PLiL8aHXj1igzrLo4J25njxxepzvaGRbNayLWir9YcHCd3JCo13BLfg7AM1kpU6rc2G45wPZw3geEGxYkQzhMr6qtKmCxuwUqbGmosYAcpSzBa2AmsUBsDTVaEkcZD5CKK95cLoWpbPAakGt1sspx5QeLyfBUguiaLnLNPMbtvVGyfTgG6tMFh7aG5EXP1wQBFBSwLCwEecQNQVQaVBkrQzhHNyUnmcehopGB54JMMfGQDvGMmLjQzLtnTcpVGVV1T3tbyHY5ifGTxcQ1KTDRWoGSr2nn1F2dHAoUbeN3YSffEvaF6kLKsaW1oYCDWzfRPsnD9AwgAiL2YyCxbQbmsF3N8DCgaUoBnRKLuUzGcdDooZH5gTV7JN68i9xjEkFAGmiFYVHSYdgxGgrDuH8rhhJMyJJn9ypU7R8wgEG5C1s3rXcCtpWypZr2XL4swMi9GkNgvLYKF47jEw9DprQLa9d1JVgUfNijbr6hQdbcmbEvcBL4QWTRfp7ifvConoNLCahLZhM6DMfmDgpMEYbxshRbUpX3pHXkLUctNbHZfyQVrcNMFUbDqPYbVhrjDyKYMYzFpLYjRo6StdSajfY86ZXQtZvCC9PsZZuhmnQrXmZd9RzJriQpFB5qweMm8McXep9Lnmf1FezNSVDwpRJve213Gz3Xm7psLCnCLWHqWcwyHGNGGwSPEZ83KrEpZyyxX9bALUN7icRTK9pNsCSPSs4qjreYgLgu6EjaoL3HazWSFKYf6k5cJuDfDpWZen198X1y7snBcG2piTBYTsKxhgbyPHpNgcE4vhgQ7Uw2so13ekYHMdcjtSkNRYyxDJCLQqzn5M34dXvtosoqGgKveGjYVa9qqW5TzQgpyVtwGCVfsXnYu4hvLjc5PX2NG9dmVaTH8yMTt7RgHeiGzRzhsEhRXynMcH1nrSRj2sW9pK9mgefmp6TPXiFSPAQgBib9zbBuCYJaW1iLvwnFU8kT9K379ek8DJkGXqfq32kRaH6WkW1NMpRSxnCSgPRcADajvv1uJZKkqBQkrHEZrg3ASKL9WM4LwpCy2VHzeEikuGmFmbqHRSUEo5uUXRCmaPzghThLNo6CVXXpGRRFCUebX2DeBkCAQ6fcVJ3Kyt6JLmpWsZieMvf3ybZgju3oBfquSYcnRFkcBgdiMV74MGi2QJzqi3bNRU24HkZztM4YHCfSNvMpmSLjJn6Q1ZCobkYNjxtLFqcy8nrrDYPAdvcKBFG9MUWRk5Ha9Bn1p9ZoMUuNtUTcKQfhWb7SdHFoi2Dc6roqraRGhWuHcgoYCXZAs6vALTHmcJGDfN7KVRM4wVi93mrHz4vrrmPEuaF29kFfhZrqW119f1pVtnjAS9siNtRtXM2u587h1g7jpgbz2ay88oQLmU4QFRueXBYRZHiLbNoz7wNYqSTkxMTAtKLd4HAscLMyeLU3unyuVC3bvBAzWozYE4Toci1eNGFJJrvoNVg2Nu1ebC8k3EpBXZWRDvriNWuNLf97PhUKPcF8mktU5qzqTPAs6E7GNqbQGpXisVQ8CWs5y5c1Aw7PUgnukMxjoERuaxvvwpV8z4aL",
      "assets": [
        {
          "tokenId": "8380bb138bdbf80fe0cd938ffdd888bf9f98908255032c97e58f8d3e66e82c08",
          "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": "10020402",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[2,1]"
        },
        "R4": {
          "serializedValue": "110a80a0b787e905fe99f10ab6163c8087a70e1000641e80b48913",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[100000000000,11413119,1435,30,15000000,8,0,50,15,20000000]"
        }
      },
      "spentTransactionId": "94465e52ca993ae5714a400d6f33968704e6570b988802ddc3e8b76d9819cce5",
      "mainChain": true
    },
    {
      "boxId": "a6c79b61ec4517784b9b18887ce1c8cade19757b72151d8e98bfa60dcedf69a0",
      "transactionId": "9563b117cbf9d130d5c51e11a342b73ba819b43eba0f32676c4f24d4fd088f1b",
      "blockId": "964b771c225b8ee912f3b2b4feec0b26fc0827cea8e35e7ff272b2c86b0120b1",
      "value": 2000000,
      "index": 6,
      "globalIndex": 52690007,
      "creationHeight": 1690879,
      "settlementHeight": 1690882,
      "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": "9259ab6c57d8e50fc150f1b4b733cfe8282a770f49ea950ed1ebae3a4ad2a76f",
      "mainChain": true
    }
  ],
  "size": 8929,
  "isUnconfirmed": false
}