{
  "boxId": "2f5563ef0a39bf6ccbcc1a3de82e932b535ba4d56ceb8324bcddb3d87be02298",
  "transactionId": "c33f51332ba3ca507590e9d32a6715c5a7814a7301b2348b6dc8adcdc27b8f76",
  "blockId": "b6168027b5aca0136da55247002f8aaab39fac4ce5cda0160392447f06b82c25",
  "value": 1100000,
  "index": 0,
  "globalIndex": 471810,
  "creationHeight": 1152607,
  "settlementHeight": 1152609,
  "ergoTree": "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",
  "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(44,-104,-93,-28,46,63,122,-102,19,47,-39,55,87,15,-92,-108,31,-47,-78,104,30,-76,95,115,-69,49,113,57,-102,-59,-27,88)\n3: Coll(85,-65,-103,59,67,118,-70,19,34,100,-48,-124,-16,111,-32,51,50,26,-76,60,104,-37,20,53,-96,-25,-32,-65,119,-35,-73,53)\n4: true\n5: 1\n6: 1\n7: 2\n8: 2\n9: 0\n10: -1\n11: 1\n12: 2\n13: 0\n14: Coll(-28,-57,-100,-38,-76,5,70,-99,25,-105,4,70,-72,-64,115,-67,-125,43,80,-75,-124,44,-36,52,-80,-26,-30,64,-43,125,47,52)\n15: -1\n16: 1\n17: 3\n18: 5\n19: 1\n20: 0\n21: 0\n22: 0\n23: 4\n24: 0\n25: 0\n26: true\n27: 1\n28: 1\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 1\n35: 0\n36: 0\n37: 1\n38: 1\n39: 0\n40: 0\n41: 0\n42: 0\n43: 3",
  "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 == placeholder[Coll[Byte]](3)) { sigmaProp(placeholder[Boolean](4)) } else {(\n    val coll6 = SELF.tokens\n    val tuple7 = coll6(placeholder[Int](5))\n    val l8 = tuple7._2\n    val tuple9 = coll2(placeholder[Int](6))\n    val l10 = tuple9._2\n    val tuple11 = coll2(placeholder[Int](7))\n    val l12 = tuple11._2\n    val tuple13 = coll6(placeholder[Int](8))\n    val l14 = tuple13._2\n    val coll15 = tuple7._1\n    val coll16 = SELF.R6[Coll[Long]].get\n    val tuple17 = coll6(placeholder[Int](9))\n    val coll18 = tuple13._1\n    val coll19 = box1.R4[Coll[Coll[Byte]]].get\n    val coll20 = box1.R5[Coll[Long]].get\n    val i21 = coll20.size\n    val bool22 = allOf(\n      Coll[Boolean](\n        box1.propositionBytes == SELF.propositionBytes, box1.R6[\n          Coll[Long]\n        ].get == coll16, coll4 == tuple17._1, tuple3._2 == tuple17._2, tuple9._1 == coll15, tuple11._1 == coll18, coll19.size == i21\n      )\n    )\n    val coll23 = SELF.R5[Coll[Long]].get\n    val i24 = coll23.size\n    if (l8 > l10) {(\n      val i25 = box1.R7[Int].getOrElse(placeholder[Int](10))\n      val l26 = l8 - l10\n      val box27 = OUTPUTS(placeholder[Int](11))\n      val box28 = OUTPUTS(placeholder[Int](12))\n      val tuple29 = box27.tokens(placeholder[Int](13))\n      val bool30 = allOf(\n        Coll[Boolean](bool22, l26 == l12 - l14, tuple29._2 == l26, tuple29._1 == coll15, blake2b256(box27.propositionBytes) == placeholder[Coll[Byte]](14))\n      )\n      if (i25 == placeholder[Int](15)) {(\n        val i31 = i21 - placeholder[Int](16)\n        val coll32 = SELF.id\n        val box33 = OUTPUTS(placeholder[Int](17))\n        val l34 = coll16(placeholder[Int](18))\n        sigmaProp(\n          allOf(\n            Coll[Boolean](\n              bool30, i21 == i24 + placeholder[Int](19), coll19.slice(placeholder[Int](20), i31) == SELF.R4[Coll[Coll[Byte]]].get, coll19(\n                i31\n              ) == coll32, coll20.slice(placeholder[Int](21), i31) == coll23, coll20(i31) == l26, box27.R4[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n                coll32\n              ), box28.tokens(placeholder[Int](22))._1 == coll32, blake2b256(box33.propositionBytes) == coll5, box33.R4[\n                Coll[Byte]\n              ].get == coll32, box33.value >= coll16(placeholder[Int](23)), if (l34 > placeholder[Long](24)) {(\n                val tuple35 = box33.tokens(placeholder[Int](25))\n                allOf(Coll[Boolean](tuple35._1 == coll18, tuple35._2 >= l34))\n              )} else { placeholder[Boolean](26) }\n            )\n          )\n        )\n      )} else {(\n        val coll31 = SELF.R4[Coll[Coll[Byte]]].get\n        val coll32 = coll31(i25)\n        val i33 = i25 + placeholder[Int](27)\n        sigmaProp(\n          allOf(\n            Coll[Boolean](\n              bool30, coll32 == INPUTS(placeholder[Int](28)).tokens(placeholder[Int](29))._1, coll19 == coll31, coll20(i25) == coll23(i25) + l26, coll20.slice(\n                placeholder[Int](30), i25\n              ) == coll23.slice(placeholder[Int](31), i25), coll20.slice(i33, i21) == coll23.slice(i33, i21), box27.R4[Coll[Coll[Byte]]].get == Coll[\n                Coll[Byte]\n              ](coll32), box28.tokens(placeholder[Int](32))._1 == coll32\n            )\n          )\n        )\n      )}\n    )} else {(\n      val coll25 = SELF.R4[Coll[Coll[Byte]]].get\n      val i26 = box1.R7[Int].get\n      val l27 = l10 - l8\n      val l28 = coll23(i26)\n      sigmaProp(\n        allOf(Coll[Boolean](bool22, Coll[Coll[Byte]](coll25(i26)) == INPUTS(placeholder[Int](33)).R4[Coll[Coll[Byte]]].get, l27 == l14 - l12, if (l28 > l27) {(\n              val i29 = i26 + placeholder[Int](34)\n              allOf(Coll[Boolean](l28 == coll20(i26) + l27, coll25 == coll19, coll23.slice(placeholder[Int](35), i26) == coll20.slice(placeholder[Int](36), i26), coll23.slice(i29, i24) == coll20.slice(i29, i24)))\n            )} else {(\n              val i29 = i26 + placeholder[Int](37)\n              allOf(Coll[Boolean](i21 == i24 - placeholder[Int](38), l28 == l27, coll25.slice(placeholder[Int](39), i26) == coll19.slice(placeholder[Int](40), i26), coll25.slice(i29, i24) == coll19.slice(i26, i21), coll23.slice(placeholder[Int](41), i26) == coll20.slice(placeholder[Int](42), i26), coll23.slice(i29, i24) == coll20.slice(i26, i21), blake2b256(INPUTS(placeholder[Int](43)).propositionBytes) == coll5))\n            )}))\n      )\n    )}\n  )}\n}",
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      "tokenId": "eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d",
      "index": 0,
      "amount": 1,
      "name": "rspv1RWTNFT",
      "decimals": 0,
      "type": "EIP-004"
    },
    {
      "tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
      "index": 1,
      "amount": 998862735007,
      "name": "rspv1ErgoRWT",
      "decimals": 3,
      "type": "EIP-004"
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      "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
      "index": 2,
      "amount": 1137264994,
      "name": "RSN",
      "decimals": 3,
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    }
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  "additionalRegisters": {
    "R4": {
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      "sigmaType": "Coll[Coll[SByte]]",
      "renderedValue": "[6572676f,95a18f605b807b3a26b76e143aa1d58c96a95132c264ea79a6715b90a6095e91,da1ff77fd16dc9b875a3d84da2c88d0fdbd10d643d5e1502f5429d53ad67c522,258f3ad3545b9e7a89271a1461a71ff51f1f1c310a1332f0ad5efe060a8a74fd,0d62ae4ad5b5907dc643647e894fe970ff3d531c5789cb90c6231205146ac2ce,ff021c07365d20da446b3d5627c4dc1a0ab71d5229556302c21bda4eae1589d4,9a5eb4d9917c70b0e3291114924170bee95e7347cd332171c1b52d5209ed294a,3d7c041dad161cf165605605ef860d218cc21554ebe689c66c27e88b2dfdae69,b306f78444d3bd000d276d6a7d563e716addf83d2f85abf2a9001d045d1cb83f,a3ffac5d0f4926d6ba854d4c4803800e430ebc16c7d45e157f23f0eb4432020d,fb0d0b8c45421a113257a16ead7739efccbbcfba5429d725aa42da7981d368c0,72ba06fdf0d6a194b59bafdc21621ecff102df9395d793485539c14e0df280ec,b63cf8bc08a0ac2b19e528ed828d2e08ecc410712ecd7baf341f341469f5c45e,51937222b1334c50c0f7fc33a21ea02f8e513d38f9bfbe71e731565369fce1ca,96e3145ad78dd80e844ca500ea646f9dd685bdeb41164a627cf1b529e30563b4,e73c92a4bdd71f59754d802ee86df64b6c4cd52c5c68cd2ff9051808c70ec86a,aee832130322dc3cf9e2e640c501463ff6586d8e6b2c435cc0754294a74a60b5,986cd585a7c08ae121b55a391f77e194182125de1834cefba073fa0c45e0d9a0,3e0684af04b9679340705c334a187985b14ebb650452a50943e1586eb0100c99,054df27e4f0c5e3ef4b0b115d4b3a7317d77e0af562475d7e35ca83f492a5711,d0545cd55775748fce18119255b52f4d609fc2080de910bf9e67ccd199feb44e,dda8460bda8b69dbb04c377e77eb3cb132cd595331fa47d3a2244688c5d49fb5,f8871f8fda693dc21e4b2ca00cadc1ecf1e7308a9dc777da6793cdd78a022491,0ab82f65e18c731ff56dcd02c55a41b8c07d849fa4ce5bfe08c096d2dd63409d,2a4ba526e6801bd7dc01a160728d5669d6e84791292df6a3779f02f30acb0c3e,520b18499f65321d90d138b11934347e7a2507462f1c24092e60f7a4628da353,d51de9a746fad6406d043ec74c98a1c94b084d8e3b9614b786eae0ce1308eca0,e3a498c234c7859c93d5f4f97ac4382622064809a0132da4427ab7d2806a212c,68961b57a63655d21943defe6b954ef5e793c969f55826c6a7b75e3446c68033,904e0803675cc5355736d2dfa3bf0c847992b6f3095f20c0be6df04162f560d9,c7e71f6310e9577f00ebda122d5020dc93ad7916387c8f4d98f353b50ec948d2,d4697cbad2e4b4360a9c1557883432aabc634d3a4de8967696c57be576bd6daa,d8b0aaf1767a0067d827942d780fd05f4d81755f5655dc1cbce1c288a56d5f0c,6e69e8c4981a56503fe4dbcf0fe8fbaf44baeb3c75ceb0fb4ccec494988f195d,16c5b48adf9988b23302bee06d9da573e4c0701bed2e80d73338bfc2f0ceccf4,f819ea22f55ee8ced5f135125de9f9d40b39df11c9308424767afd48a0914f0e,e34ba91660a54beb11a8cfbf32a08977c4ced826b2dd775910fcb6a0f279346b,564fe041e7aad075c21b3ede9ce8ad32f0911e38c81f7f33cf7b2979ff702538,600e35ff06d397cb810c9f6e7346b28678d06c5fb9677facebe8b059a7805b74,3c94a6eb0d62010c1e9cfe34b628c5ed06d9c614ffffbc6b567422c2f46ada1d,bf7b389e9de3128c857aba409f7d5b9914f945e608e1878266035f8c3db3c981,3ca7a42c1f161063520a81946c08da63b130e8908cfcba771493e6e50677f54b,99b030e625f3a5da015d86ee1ec1fd36955a30732a157180b7ca054449d343ac]"
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