{
  "boxId": "3a9925cd267fec2c7200d8d42f0981511e1ca38253a7b69961c84bda6e423928",
  "transactionId": "80b72e0345a2eb7782d1e4d57aef62f3065a0d5f37c51dbd4137c9bff233bd1d",
  "blockId": "7cbb05193aa0bb13250fd24007d432fa0b79c9d732ef2fc70c3f9cc9f6692381",
  "value": 4200000,
  "index": 0,
  "globalIndex": 25637957,
  "creationHeight": 918778,
  "settlementHeight": 918781,
  "ergoTree": "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",
  "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 1\n4: 3\n5: 1\n6: 0\n7: 0\n8: 2\n9: 100\n10: 0\n11: 7\n12: Coll(119,119,119,-27,5,31,-118,107,-61,8,39,-18,65,-35,57,-32,75,-54,29,-70,53,35,107,-102,38,-76,-108,-32,-70,-56,79,51)\n13: Coll(48)\n14: 1\n15: 2100000\n16: 1\n17: false\n18: 0\n19: 1\n20: 0\n21: 86400000\n22: 2\n23: 1\n24: 86400000\n25: 2100000\n26: 1\n27: 1\n28: 2\n29: 1\n30: 2100000\n31: 9\n32: false\n33: 14400000\n34: 2\n35: 0\n36: 0\n37: 0\n38: 0\n39: 0\n40: 100\n41: 500\n42: 1000\n43: 2000\n44: 4000\n45: 9000\n46: 13000\n47: 20000\n48: 30000\n49: 40000\n50: 50000\n51: 70000\n52: 110000\n53: 140000\n54: 170000\n55: 210000\n56: 250000\n57: 300000\n58: 500000\n59: 1\n60: 0\n61: 1\n62: 0\n63: 1\n64: 4\n65: 4\n66: 1775840000\n67: 0\n68: 5\n69: 1000\n70: 6\n71: 177584000\n72: 10000\n73: 0\n74: Coll(102,102,102,-116,-29,83,-2,-3,20,109,20,-76,20,-126,-43,38,-21,-14,106,90,125,32,79,54,87,12,89,-59,88,19,107,-125)\n75: 30\n76: 1\n77: 2\n78: 2\n79: 1000000\n80: 3\n81: 3\n82: 1000000\n83: 8\n84: 1000\n85: false\n86: 2\n87: 4\n88: 0\n89: 1\n90: 0\n91: 2\n92: 0\n93: 0\n94: 1\n95: 0\n96: 0\n97: 1\n98: false\n99: 1100000\n100: false",
  "ergoTreeScript": "{\n  val coll1 = SELF.tokens\n  val tuple2 = (Coll[Byte](), placeholder[Long](0))\n  val tuple3 = coll1.getOrElse(placeholder[Int](1), tuple2)\n  val box4 = SELF.R7[Box].get\n  val bool5 = (tuple3._1 == box4.id) && (SELF.propositionBytes == box4.propositionBytes)\n  val box6 = if (bool5) { box4 } else { SELF }\n  val prop7 = box6.R9[SigmaProp].get\n  val bool8 = !bool5\n  val box9 = OUTPUTS(placeholder[Int](2))\n  val coll10 = box9.propositionBytes\n  val coll11 = SELF.propositionBytes\n  val box12 = OUTPUTS(placeholder[Int](3))\n  val coll13 = box6.R8[Coll[Long]].get\n  val l14 = coll13(placeholder[Int](4))\n  val l15 = CONTEXT.preHeader.timestamp\n  val l16 = l14 - l15\n  val coll17 = box9.tokens\n  val tuple18 = coll17.getOrElse(placeholder[Int](5), tuple2)\n  val l19 = tuple18._2\n  val l20 = tuple3._2\n  val bool21 = coll13(placeholder[Int](6)) == placeholder[Long](7)\n  val l22 = coll13(placeholder[Int](8))\n  val l23 = l22 * placeholder[Long](9)\n  val tuple24 = coll17.getOrElse(placeholder[Int](10), tuple2)\n  val l25 = tuple24._2\n  val l26 = SELF.value\n  val l27 = coll13(placeholder[Int](11))\n  val coll28 = tuple24._1\n  val coll29 = box6.id\n  val coll30 = placeholder[Coll[Byte]](12)\n  val coll31 = placeholder[Coll[Byte]](13)\n  val bool32 = if (coll10 == coll11) {\n    (\n      (\n        (\n          (\n            (((coll28 == coll29) && (l25 >= placeholder[Long](14))) && (box9.value >= placeholder[Long](15))) && (\n              ((bool21 && (tuple18._1 == coll30)) && (l19 >= placeholder[Long](16))) || (!bool21)\n            )\n          ) && (box9.R4[Coll[Byte]].get == SELF.R4[Coll[Byte]].get)\n        ) && (box9.R5[Coll[Byte]].get == coll31)\n      ) && (box9.R6[Coll[Byte]].get == coll31)\n    ) && (box9.R7[Box].get == box6)\n  } else { placeholder[Boolean](17) }\n  val coll33 = box6.R5[Coll[Byte]].get\n  val bool34 = l15 <= l14\n  val l35 = box9.value\n  val coll36 = box12.tokens\n  val tuple37 = coll36.getOrElse(placeholder[Int](18), tuple2)\n  val coll38 = tuple37._1\n  val l39 = tuple37._2\n  val coll40 = prop7.propBytes\n  val bool41 = coll13(placeholder[Int](19)) == placeholder[Long](20)\n  val bool42 = l15 > l14\n  val bool43 = if (bool41) { (bool5 && bool42) && (l15 < l14 + placeholder[Long](21)) } else { bool5 && bool34 }\n  prop7 && sigmaProp(((bool8 && (OUTPUTS.size == placeholder[Int](22))) && (coll10 != coll11)) && (box12.propositionBytes != coll11)) || sigmaProp(\n    (\n      (\n        if ((bool8 && (INPUTS.size == placeholder[Int](23))) && (l16 >= placeholder[Long](24))) {\n          (\n            (\n              bool32 && (\n                ((box9.value >= placeholder[Long](25)) && (box9.R7[Box].get == SELF)) && (\n                  (\n                    ((bool21 && (l19 == l20)) && (l25 == l20 - placeholder[Long](26) / l23 + placeholder[Long](27))) && (coll17.size == placeholder[Int](28))\n                  ) || (((!bool21) && (coll17.size == placeholder[Int](29))) && (l25 == l26 - placeholder[Long](30) / l27))\n                )\n              )\n            ) && (box12.propositionBytes == coll33)\n          ) && (box12.value >= coll13(placeholder[Int](31)))\n        } else { placeholder[Boolean](32) } || if (((!(bool34 && (l15 > l14 - placeholder[Long](33)))) && (INPUTS.size == placeholder[Int](34))) && (\n          CONTEXT.dataInputs.size > placeholder[Int](35)\n        )) {(\n          val box44 = CONTEXT.dataInputs(placeholder[Int](36))\n          val l45 = l20 - l25\n          val l46 = box44.R4[Long].get\n          val l47 = if (bool21) { max(placeholder[Long](37), l46 - l27 * l22) } else { max(placeholder[Long](38), l27 - l46 * l22) }\n          val coll48 = Coll[Long](\n            placeholder[Long](39), placeholder[Long](40), placeholder[Long](41), placeholder[Long](42), placeholder[Long](43), placeholder[Long](\n              44\n            ), placeholder[Long](45), placeholder[Long](46), placeholder[Long](47), placeholder[Long](48), placeholder[Long](49), placeholder[Long](\n              50\n            ), placeholder[Long](51), placeholder[Long](52), placeholder[Long](53), placeholder[Long](54), placeholder[Long](55), placeholder[Long](\n              56\n            ), placeholder[Long](57), placeholder[Long](58)\n          )\n          val coll49 = coll48.map({(l49: Long) => l49 * l49 }).zip(coll48)\n          val i50 = coll49.map({(tuple50: (Long, Long)) => if (tuple50._1 >= l16) { placeholder[Long](59) } else { placeholder[Long](60) } }).indexOf(\n            placeholder[Long](61), placeholder[Int](62)\n          )\n          val tuple51 = coll49(i50 - placeholder[Int](63))\n          val l52 = tuple51._2\n          val tuple53 = coll49(i50)\n          val l54 = tuple51._1\n          val l55 = l52 + tuple53._2 - l52 * l16 - l54 / tuple53._1 - l54\n          val l56 = placeholder[Long](64) * coll13(placeholder[Int](65)) * l22 * l27 * l55 / placeholder[Int](66).toLong\n          val l57 = max(placeholder[Long](67), l56 - l56 * coll13(placeholder[Int](68)) * max(l46 - l27, l27 - l46) / placeholder[Long](69) * l27)\n          val l58 = if (bool41) { l47 + l57 } else { l47 + l57 + l57 * coll13(placeholder[Int](70)) * l55 / placeholder[Int](71).toLong }\n          val l59 = l45 * l58 - l58 % placeholder[Long](72)\n          (\n            (\n              (\n                (\n                  (\n                    (\n                      (\n                        (\n                          (\n                            (box44.tokens(placeholder[Int](73))._1 == placeholder[Coll[Byte]](74)) && (HEIGHT <= box44.R5[Int].get + placeholder[Int](75))\n                          ) && bool32\n                        ) && (l35 == l26)\n                      ) && ((bool21 && (l19 == coll1.getOrElse(placeholder[Int](76), tuple2)._2)) || (!bool21))\n                    ) && (coll38 == coll29)\n                  ) && (l39 == l45)\n                ) && (OUTPUTS(placeholder[Int](77)).propositionBytes == coll40)\n              ) && (OUTPUTS(placeholder[Int](78)).value >= max(placeholder[Long](79), l59))\n            ) && (OUTPUTS(placeholder[Int](80)).propositionBytes == coll33)\n          ) && (OUTPUTS(placeholder[Int](81)).value >= max(placeholder[Long](82), l59 * coll13(placeholder[Int](83)) / placeholder[Long](84)))\n        )} else { placeholder[Boolean](85) }\n      ) || if (((bool43 && (INPUTS.size == placeholder[Int](86))) && (OUTPUTS.size == placeholder[Int](87))) && (\n        CONTEXT.dataInputs.size == placeholder[Int](88)\n      )) {(\n        val l44 = if (bool21) { l20 - l25 } else { l26 - l35 }\n        val l45 = if (bool21) { l44 / l23 } else { l44 / l27 * l22 }\n        val tuple46 = INPUTS(placeholder[Int](89)).tokens.getOrElse(placeholder[Int](90), tuple2)\n        val box47 = OUTPUTS(placeholder[Int](91))\n        val coll48 = box47.tokens\n        val tuple49 = coll48.getOrElse(placeholder[Int](92), tuple2)\n        (\n          (((l45 == if (tuple46._1 == coll29) { tuple46._2 } else { placeholder[Long](93) }) && bool32) && (l25 == l20)) && (\n            (\n              ((((bool21 && (coll38 == coll30)) && (l39 == l44)) && (coll36.size == placeholder[Int](94))) && (box47.value >= l45 * l27 * l22)) && (\n                coll48.size == placeholder[Int](95)\n              )\n            ) || (\n              (((((!bool21) && (box12.value >= l44)) && (coll36.size == placeholder[Int](96))) && (tuple49._1 == coll30)) && (tuple49._2 >= l45 * l23)) && (\n                coll48.size == placeholder[Int](97)\n              )\n            )\n          )\n        ) && (box47.propositionBytes == coll40)\n      )} else { placeholder[Boolean](98) }\n    ) || if (bool42 && (!bool43)) {\n      ((coll10 == coll40) && ((bool21 && (coll28 == coll30)) && (l25 == l20))) || ((!bool21) && (l35 >= l26 - placeholder[Long](99)))\n    } else { placeholder[Boolean](100) }\n  )\n}",
  "address": "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",
  "assets": [
    {
      "tokenId": "777777e5051f8a6bc30827ee41dd39e04bca1dba35236b9a26b494e0bac84f33",
      "index": 0,
      "amount": 1001,
      "name": "fakeUSD",
      "decimals": 2,
      "type": "EIP-004"
    }
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  "additionalRegisters": {
    "R5": {
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      "sigmaType": "Coll[SByte]",
      "renderedValue": "0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6"
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    "R6": {
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      "sigmaType": "Coll[SByte]",
      "renderedValue": "30"
    },
    "R8": {
      "serializedValue": "110a0002028090e4f5f061e807e807d804bef2abbd0a0a80897a",
      "sigmaType": "Coll[SLong]",
      "renderedValue": "[0,1,1,1681603200000,500,500,300,1406499999,5,1000000]"
    },
    "R7": {
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      "sigmaType": "SSigmaProp",
      "renderedValue": "02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e"
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      "sigmaType": "Coll[SByte]",
      "renderedValue": "43616c6c5f415f66616b655553445f4552475f313430363439393939395f323032332d30342d31365f7065725f31"
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  "spentTransactionId": "19b615f1e6a0b0020fd2223c7b82a86fa273f516b0cca45df660a06c71792d52",
  "mainChain": true
}