{
  "boxId": "08bc99452f98f2c8a4fcfb8ce6520cae6e9d215c9016daec987a583392f7c472",
  "transactionId": "428bfda47431f809b68a75dd8011cc34faffa3c86ca3181efcb77310ef99d850",
  "blockId": "d9633c17c30502a1392d5f499d083117a5e1901d00ba58bb138951bc4ae9616c",
  "value": 1000000,
  "index": 0,
  "globalIndex": 20891383,
  "creationHeight": 827328,
  "settlementHeight": 827330,
  "ergoTree": "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",
  "ergoTreeConstants": "0: 1\n1: 0\n2: 1\n3: 0\n4: 1\n5: 0\n6: 0\n7: 1\n8: 1\n9: 2\n10: 2\n11: 3\n12: 3\n13: 0\n14: 0\n15: 4\n16: 2\n17: 4\n18: Coll(57,-56,60,58,97,112,124,61,-127,31,103,92,-32,-23,10,-18,40,121,-111,66,47,63,73,13,1,24,50,53,51,112,-33,95)\n19: Coll(71,44,61,78,-54,-96,-113,-73,57,47,-16,65,-18,46,106,-9,95,74,85,-120,16,-89,75,40,96,5,73,-43,57,40,16,-24)\n20: 0\n21: 1\n22: 0\n23: 3\n24: 2\n25: 1\n26: 2\n27: 0\n28: 1\n29: 1\n30: 0\n31: 1\n32: 1800000\n33: 1\n34: 1000\n35: 1\n36: 1\n37: 1\n38: 1\n39: 1\n40: 2\n41: 0\n42: 0\n43: 1\n44: 2\n45: 0\n46: 1\n47: 1\n48: false\n49: Coll(-118,79,25,-78,126,-2,-86,50,-114,-101,-96,63,7,82,37,55,19,-26,-76,119,-51,-71,-22,125,94,-120,87,-26,113,-60,-114,96)\n50: 2\n51: 1\n52: 0\n53: Coll(63,56,-81,93,-116,-32,84,-109,-112,-2,-78,-31,-96,-51,97,76,-122,93,117,120,66,86,-125,-68,-37,1,1,99,14,26,102,-44)\n54: 1\n55: 1\n56: 2\n57: 0\n58: false\n59: 1\n60: 1\n61: 0\n62: 0\n63: 2\n64: 0\n65: 1\n66: 0\n67: 1\n68: 0\n69: 0\n70: 0\n71: 1\n72: 0\n73: 1\n74: 1\n75: 1\n76: 1000\n77: false",
  "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 = SELF.tokens\n  val tuple6 = coll5(placeholder[Int](2))\n  val coll7 = tuple6._1\n  val bool8 = coll4 == coll7\n  val box9 = OUTPUTS(placeholder[Int](3))\n  val coll10 = box9.tokens\n  val tuple11 = coll10(placeholder[Int](4))\n  val l12 = tuple11._2\n  val l13 = tuple6._2\n  val coll14 = SELF.R4[Coll[Long]].get\n  val l15 = coll14(placeholder[Int](5))\n  val coll16 = box9.R4[Coll[Long]].get\n  val l17 = coll16(placeholder[Int](6))\n  val l18 = coll16(placeholder[Int](7))\n  val l19 = coll14(placeholder[Int](8))\n  val l20 = coll14(placeholder[Int](9))\n  val l21 = coll16(placeholder[Int](10))\n  val l22 = coll16(placeholder[Int](11))\n  val l23 = coll14(placeholder[Int](12))\n  val tuple24 = coll10(placeholder[Int](13))\n  val tuple25 = coll5(placeholder[Int](14))\n  val l26 = coll14(placeholder[Int](15))\n  val bool27 = allOf(\n    Coll[Boolean](\n      box9.value == SELF.value, box9.propositionBytes == SELF.propositionBytes, tuple24._1 == tuple25._1, tuple24._2 == tuple25._2, tuple11._1 == coll7, coll10.size == placeholder[\n        Int\n      ](16), coll16(placeholder[Int](17)) == l26\n    )\n  )\n  val coll28 = placeholder[Coll[Byte]](18)\n  val l29 = CONTEXT.preHeader.timestamp\n  val l30 = tuple3._2\n  val coll31 = placeholder[Coll[Byte]](19)\n  val tuple32 = (Coll[Byte](), placeholder[Long](20))\n  val box33 = INPUTS(placeholder[Int](21))\n  val coll34 = box33.tokens\n  val tuple35 = coll34(placeholder[Int](22))\n  val coll36 = tuple35._1\n  val bool37 = INPUTS.size >= placeholder[Int](23)\n  val coll38 = box33.R4[Coll[Long]].get\n  val coll39 = box33.R5[Coll[Byte]].get\n  val box40 = OUTPUTS(placeholder[Int](24))\n  val coll41 = box40.tokens\n  sigmaProp((if (bool8) { if (l12 < l13) {(\n          val tuple42 = coll2(placeholder[Int](25))\n          val l43 = tuple42._2\n          val coll44 = box1.R4[Coll[Long]].get\n          val coll45 = box1.R5[Coll[Byte]].get\n          val box46 = OUTPUTS(placeholder[Int](26))\n          val tuple47 = box46.tokens(placeholder[Int](27))\n          allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43, l18 == l19, l21 == l20 + placeholder[Long](28), l22 == l23, l12 == l13 - placeholder[Long](29))), allOf(Coll[Boolean](blake2b256(box1.propositionBytes) == coll28, coll44(placeholder[Int](30)) == l19, coll44(placeholder[Int](31)) >= l29 - placeholder[Long](32), coll45 == SELF.id, bool8, l30 == placeholder[Long](33), tuple42._1 == coll31, l43 >= placeholder[Long](34))), allOf(Coll[Boolean](box46.propositionBytes == INPUTS(placeholder[Int](35)).R5[Coll[Byte]].get, tuple47._1 == coll45, tuple47._2 == placeholder[Long](36)))))\n        )} else {(\n          val tuple42 = coll2(placeholder[Int](37))\n          val l43 = tuple42._2\n          val box44 = INPUTS(placeholder[Int](38))\n          val l45 = box44.tokens.getOrElse(placeholder[Int](39), tuple32)._2\n          val coll46 = box1.R4[Coll[Long]].get\n          val coll47 = box1.R5[Coll[Byte]].get\n          val tuple48 = OUTPUTS(placeholder[Int](40)).tokens(placeholder[Int](41))\n          allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l17 == l15 + l43 - l45, l18 == l19, l21 == l20, l22 == l23, l12 == l13)), allOf(Coll[Boolean](box1.value == box44.value, blake2b256(box1.propositionBytes) == coll28, blake2b256(box44.propositionBytes) == coll28, coll46(placeholder[Int](42)) == l19, coll46 == box44.R4[Coll[Long]].get, coll47 == box44.R5[Coll[Byte]].get, bool8, l30 == placeholder[Long](43), tuple42._1 == coll31, l43 == l45 + INPUTS.getOrElse(placeholder[Int](44), INPUTS(placeholder[Int](45))).tokens(placeholder[Int](46))._2)), allOf(Coll[Boolean](tuple48._1 == coll47, tuple48._2 == placeholder[Long](47)))))\n        )} } else { placeholder[Boolean](48) } || if (allOf(Coll[Boolean](coll36 == placeholder[Coll[Byte]](49), bool37))) {(\n        val box42 = INPUTS(placeholder[Int](50))\n        val coll43 = box42.R4[Coll[Long]].get\n        allOf(Coll[Boolean](allOf(Coll[Boolean](bool27, l18 == l19 + placeholder[Long](51), l21 == l20, l22 == l23 + l26, l22 < l29, l12 == l13)), allOf(Coll[Boolean](box42.tokens(placeholder[Int](52))._1 == placeholder[Coll[Byte]](53), coll43(placeholder[Int](54)) == l19 - placeholder[Long](55), coll43(placeholder[Int](56)) == placeholder[Long](57)))))\n      )} else { placeholder[Boolean](58) }) || if (allOf(Coll[Boolean](l15 > l17, bool37, coll34.size > placeholder[Int](59)))) {(\n      val tuple42 = coll34(placeholder[Int](60))\n      val l43 = l15 - l17\n      val l44 = tuple42._2 - l43\n      val coll45 = tuple42._1\n      val l46 = coll38(placeholder[Int](61))\n      val bool47 = l44 <= placeholder[Long](62)\n      val bool48 = allOf(Coll[Boolean](allOf(Coll[Boolean](coll36 == coll7, l46 == l19)), INPUTS(placeholder[Int](63)).tokens(placeholder[Int](64))._1 == coll39, allOf(Coll[Boolean](bool27, l17 == l15 - l43, l18 == l19, l21 == l20 - if (bool47) { placeholder[Long](65) } else { placeholder[Long](66) }, l22 == l23, l12 == l13 + if (bool47) { placeholder[Long](67) } else { placeholder[Long](68) })), allOf(Coll[Boolean](coll4 == coll45, l30 == l43))))\n      if (l44 > placeholder[Long](69)) {(\n        val tuple49 = coll41.getOrElse(placeholder[Int](70), tuple32)\n        val tuple50 = coll41(placeholder[Int](71))\n        val coll51 = box40.R4[Coll[Long]].get\n        allOf(Coll[Boolean](bool48, allOf(Coll[Boolean](allOf(Coll[Boolean](box40.value == box33.value, box40.propositionBytes == box33.propositionBytes, tuple49._1 == coll36, tuple49._2 == tuple35._2, tuple50._1 == coll45, tuple50._2 == l44, coll51(placeholder[Int](72)) == l46, coll51(placeholder[Int](73)) == coll38(placeholder[Int](74)))), coll2.getOrElse(placeholder[Int](75), tuple32)._1 == coll39)), l44 >= placeholder[Long](76)))\n      )} else { bool48 }\n    )} else { placeholder[Boolean](77) })\n}",
  "address": "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",
  "assets": [
    {
      "tokenId": "9e5e5e0a3abbaeaf0e54e1e2ca4a6a96c9b7151dd6d7ddaf738be2f99a54dc2b",
      "index": 0,
      "amount": 1,
      "name": "NETA Stake State NFT",
      "decimals": 0,
      "type": "EIP-004"
    },
    {
      "tokenId": "a94787d05eefbd1b773b62812123b91c40553bd5ed7f3092ae66dba3f812e0c0",
      "index": 1,
      "amount": 999999999661,
      "name": "NETA Stake Token",
      "decimals": 0,
      "type": "EIP-004"
    }
  ],
  "additionalRegisters": {
    "R4": {
      "serializedValue": "11059abab289ab9e1100a60580ead4dfdd6080f0b252",
      "sigmaType": "Coll[SLong]",
      "renderedValue": "[37904572632717,0,339,1661850000000,86400000]"
    }
  },
  "spentTransactionId": "68befaee626aba06914fdcb8009b43ad1bcbcf940075d6616225142cce3cfd72",
  "mainChain": true
}