{
  "boxId": "700577946f4334199916bacf1ce3286404acd4f9476876e6ec7d5bf5a2184d3f",
  "transactionId": "5af94407aa25633bad4d4a1515ca070cde03fa041db21fbdd97da3945037d8e6",
  "blockId": "5be52797ae827793f36030272874d912c0027181b4675d9262218ec55a43b10b",
  "value": 1100000,
  "index": 0,
  "globalIndex": 9067815,
  "creationHeight": 1384764,
  "settlementHeight": 1384767,
  "ergoTree": "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",
  "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(86,-101,29,-7,120,-75,-75,118,25,-84,13,30,-21,40,21,42,10,-76,-55,6,-39,125,-63,34,11,-14,-88,56,-30,55,5,-107)\n3: true\n4: 1\n5: 1\n6: 3\n7: 3\n8: 2\n9: 2\n10: 0\n11: 2\n12: 1\n13: 0\n14: Coll(-22,-25,113,104,84,-107,20,-21,8,-29,104,87,-76,-78,106,-97,-23,-16,49,4,-18,-42,-60,50,-28,-56,51,30,-90,62,14,-108)\n15: 1\n16: 3\n17: 0\n18: 0\n19: 5\n20: 1\n21: 3\n22: 0\n23: Coll(-85,-24,57,-48,-56,116,55,109,-125,23,56,30,-87,-118,11,-97,33,-90,-13,-32,-3,-21,18,-86,105,35,110,-92,60,72,-5,-70)\n24: 4\n25: 0\n26: 0\n27: 1\n28: true\n29: 0\n30: 1\n31: 2\n32: 1\n33: 0\n34: 1\n35: 1\n36: 1\n37: 0",
  "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = placeholder[Coll[Byte]](2)\n  if (coll4 == coll5) { sigmaProp(placeholder[Boolean](3)) } else {(\n    val coll6 = SELF.tokens\n    val tuple7 = coll6(placeholder[Int](4))\n    val l8 = tuple7._2\n    val tuple9 = coll2(placeholder[Int](5))\n    val l10 = tuple9._2\n    val tuple11 = coll6(placeholder[Int](6))\n    val l12 = tuple11._2\n    val tuple13 = coll2(placeholder[Int](7))\n    val l14 = tuple13._2\n    val tuple15 = coll2(placeholder[Int](8))\n    val l16 = tuple15._2\n    val tuple17 = coll6(placeholder[Int](9))\n    val l18 = tuple17._2\n    val coll19 = tuple7._1\n    val tuple20 = coll6(placeholder[Int](10))\n    val coll21 = tuple17._1\n    val coll22 = tuple11._1\n    val bool23 = allOf(\n      Coll[Boolean](\n        box1.propositionBytes == SELF.propositionBytes, box1.value >= SELF.value, coll4 == tuple20._1, tuple3._2 == tuple20._2, tuple9._1 == coll19, tuple15._1 == coll21, tuple13._1 == coll22, box1.R4[\n          Coll[Byte]\n        ].get == SELF.R4[Coll[Byte]].get\n      )\n    )\n    if (l8 > l10) {(\n      val box24 = OUTPUTS(placeholder[Int](11))\n      val box25 = OUTPUTS(placeholder[Int](12))\n      val l26 = l8 - l10\n      val tuple27 = box24.tokens(placeholder[Int](13))\n      val bool28 = allOf(\n        Coll[Boolean](bool23, l26 == l16 - l18, tuple27._2 == l26, tuple27._1 == coll19, blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](14))\n      )\n      if (l14 == l12 - placeholder[Long](15)) {(\n        val coll29 = SELF.id\n        val tuple30 = OUTPUTS(placeholder[Int](16)).tokens(placeholder[Int](17))\n        val box31 = CONTEXT.dataInputs(placeholder[Int](18))\n        val coll32 = box31.R4[Coll[Long]].get\n        val coll33 = box25.tokens\n        val l34 = coll32(placeholder[Int](19))\n        sigmaProp(\n          allOf(\n            Coll[Boolean](\n              box1.R5[Long].get == SELF.R5[Long].get + placeholder[Long](20), bool28, box24.R4[\n                Coll[Byte]\n              ].get == coll29, tuple30._1 == coll29, tuple30._2 >= placeholder[Long](21), box31.tokens(placeholder[Int](22))._1 == coll5, blake2b256(\n                box25.propositionBytes\n              ) == placeholder[Coll[Byte]](23), box25.R4[Coll[Byte]].get == coll29, box25.value >= coll32(placeholder[Int](24)), box25.R5[\n                Long\n              ].get == l26, coll33(placeholder[Int](25))._1 == coll22, if (l34 > placeholder[Long](26)) {(\n                val tuple35 = coll33(placeholder[Int](27))\n                allOf(Coll[Boolean](tuple35._1 == coll21, tuple35._2 >= l34))\n              )} else { placeholder[Boolean](28) }\n            )\n          )\n        )\n      )} else {\n        sigmaProp(\n          allOf(\n            Coll[Boolean](\n              bool28, box24.R4[Coll[Byte]].get == box25.R4[Coll[Byte]].get, l14 == l12, box1.R5[Long].get == SELF.R5[Long].get, box25.tokens(\n                placeholder[Int](29)\n              )._1 == coll22, INPUTS(placeholder[Int](30)).R5[Long].get + l26 == box25.R5[Long].get\n            )\n          )\n        )\n      }\n    )} else {(\n      val box24 = INPUTS(placeholder[Int](31))\n      val box25 = INPUTS(placeholder[Int](32))\n      val l26 = l10 - l8\n      val l27 = box25.R5[Long].get\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            bool23, box24.R4[Coll[Byte]].get == box25.R4[Coll[Byte]].get, box24.tokens(placeholder[Int](33))._1 == coll19, l26 == l18 - l16, if (l27 > l26) {\n              allOf(Coll[Boolean](l12 == l14, box1.R5[Long].get == SELF.R5[Long].get, l27 - l26 == OUTPUTS(placeholder[Int](34)).R5[Long].get))\n            } else { allOf(Coll[Boolean](l14 == l12 + placeholder[Long](35), box1.R5[Long].get == SELF.R5[Long].get - placeholder[Long](36))) }, box25.tokens(\n              placeholder[Int](37)\n            )._1 == coll22\n          )\n        )\n      )\n    )}\n  )}\n}",
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  "assets": [
    {
      "tokenId": "ac7bbfff7ec3852afae13153a9a5b063ac26fc43a780aa3468cec8c9cdd176b3",
      "index": 0,
      "amount": 1,
      "name": "RosenRWTRepo-Pandora",
      "decimals": 0,
      "type": "EIP-004"
    },
    {
      "tokenId": "34529f875cad2bf58c5ffb4a9056d26c590f0c35f77958a68dcdb4aa39b437aa",
      "index": 1,
      "amount": 999999990000,
      "name": "RosenErgoRWT-Pandora",
      "decimals": 3,
      "type": "EIP-004"
    },
    {
      "tokenId": "d752bede1a85891fff344604431fd6dc30ba685b382f2e0fe15da8141d36e34e",
      "index": 2,
      "amount": 10001,
      "name": "RSN-Pandora",
      "decimals": 3,
      "type": "EIP-004"
    },
    {
      "tokenId": "fb2a47295e30289f3748eb35a325c11db5202b7420ee9588c67f7486de2662db",
      "index": 3,
      "amount": 1999,
      "name": "RosenErgoAWC-Pandora",
      "decimals": 0,
      "type": "EIP-004"
    }
  ],
  "additionalRegisters": {
    "R4": {
      "serializedValue": "0e046572676f",
      "sigmaType": "Coll[SByte]",
      "renderedValue": "6572676f"
    },
    "R5": {
      "serializedValue": "0502",
      "sigmaType": "SLong",
      "renderedValue": "1"
    }
  },
  "spentTransactionId": "1c2a8e6c531be5bb89c81427e2678e1e84f76cbef48859ad8764aa69be31290a",
  "mainChain": true
}