Token

307f6f54ca9bd07e1d979beb6d2a35a19ef03339cad45d3f7a3f9aba327799ea

ID
307f6f54ca9bd07e1d979beb6d2a35a19ef03339cad45d3f7a3f9aba327799ea
Name
Emission amount
1
Decimals
Description
Type
Issuer Box
{
  "boxId": "307f6f54ca9bd07e1d979beb6d2a35a19ef03339cad45d3f7a3f9aba327799ea",
  "transactionId": "66007fce363cd98bb827c5cbee8f59947d0bb67f913f9563113d480279da68b4",
  "blockId": "f93f1af0c2d70871325bbc5e3f567d69a1b9594dd5f42b12bf7f7a43de0d6404",
  "value": 1100000,
  "index": 0,
  "globalIndex": 27822900,
  "creationHeight": 969632,
  "settlementHeight": 969634,
  "ergoTree": "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",
  "ergoTreeConstants": "0: 1\n1: 0\n2: Coll(-80,57,-28,68,83,55,105,125,-22,-83,112,63,-56,-47,-4,-79,41,-60,87,126,-122,115,57,79,-94,64,62,84,-44,-124,-18,-38)\n3: true\n4: 1\n5: 0\n6: 1\n7: 2\n8: 2\n9: 0\n10: 0\n11: 1\n12: 1\n13: 1\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(-3,-47,74,31,-63,-59,44,-35,-35,50,47,108,-46,-23,-58,-81,-96,80,105,31,14,72,120,69,112,-19,-46,77,77,-46,-54,32)\n19: 2\n20: 0\n21: 0\n22: 1\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0",
  "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) { sigmaProp(placeholder[Boolean](3)) } else {(\n    val coll2 = SELF.tokens\n    val tuple3 = coll2(placeholder[Int](4))\n    val l4 = tuple3._2\n    val box5 = OUTPUTS(placeholder[Int](5))\n    val coll6 = box5.tokens\n    val tuple7 = coll6(placeholder[Int](6))\n    val l8 = tuple7._2\n    val coll9 = SELF.R5[Coll[Long]].get\n    val i10 = coll9.size\n    val coll11 = box5.R5[Coll[Long]].get\n    val i12 = coll11.size\n    val coll13 = SELF.R6[Coll[Long]].get\n    val tuple14 = coll6(placeholder[Int](7))\n    val l15 = tuple14._2\n    val tuple16 = coll2(placeholder[Int](8))\n    val l17 = tuple16._2\n    val bool18 = allOf(\n      Coll[Boolean](\n        box5.propositionBytes == SELF.propositionBytes, box5.R6[Coll[Long]].get == coll13, coll6(placeholder[Int](9))._1 == coll2(\n          placeholder[Int](10)\n        )._1, tuple7._1 == tuple3._1, tuple14._1 == tuple16._1\n      )\n    )\n    if (l4 > l8) {(\n      val coll19 = box5.R4[Coll[Coll[Byte]]].get\n      val i20 = i10 + placeholder[Int](11)\n      val i21 = i12 - placeholder[Int](12)\n      val coll22 = SELF.id\n      val l23 = l4 - l8\n      val box24 = OUTPUTS(placeholder[Int](13))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            bool18, coll19.size == i20, coll19.slice(placeholder[Int](14), i21) == SELF.R4[Coll[Coll[Byte]]].get, coll19(\n              i21\n            ) == coll22, i12 == i20, coll11.slice(placeholder[Int](15), i21) == coll9, coll11(i21) == l23, l23 * coll13(\n              placeholder[Int](16)\n            ) == l15 - l17, box24.tokens(placeholder[Int](17))._2 == l23, blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](18), box24.R4[\n              Coll[Coll[Byte]]\n            ].get == Coll[Coll[Byte]](coll22), OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll22\n          )\n        )\n      )\n    )} else {(\n      val coll19 = SELF.R4[Coll[Coll[Byte]]].get\n      val i20 = box5.R7[Int].get\n      val l21 = l8 - l4\n      val l22 = coll9(i20)\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            bool18, Coll[Coll[Byte]](coll19(i20)) == box1.R4[Coll[Coll[Byte]]].get, l21 * coll13(placeholder[Int](21)) == l17 - l15, if (l22 > l21) {\n              allOf(Coll[Boolean](l22 == coll11(i20) + l21, coll19 == box5.R4[Coll[Coll[Byte]]].get))\n            } else {(\n              val coll23 = box5.R4[Coll[Coll[Byte]]].get\n              val i24 = i20 + placeholder[Int](22)\n              val i25 = i10 - placeholder[Int](23)\n              allOf(\n                Coll[Boolean](\n                  l22 == l21, coll19.slice(placeholder[Int](24), i20) == coll23.slice(placeholder[Int](25), i20), coll19.slice(i24, i10) == coll23.slice(\n                    i20, i25\n                  ), coll9.slice(placeholder[Int](26), i20) == coll11.slice(placeholder[Int](27), i20), coll9.slice(i24, i10) == coll11.slice(i20, i25)\n                )\n              )\n            )}\n          )\n        )\n      )\n    )}\n  )}\n}",
  "address": "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",
  "assets": [
    {
      "tokenId": "4b1e5bcfbd6763b9cea8411841213611258fabed16293af6aa8cd8200b7e1286",
      "index": 0,
      "amount": 1,
      "name": "RWT Repo.V-test",
      "decimals": 0,
      "type": "EIP-004"
    },
    {
      "tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
      "index": 1,
      "amount": 10000000,
      "name": "Ergo-RWT.V-test",
      "decimals": 0,
      "type": "EIP-004"
    },
    {
      "tokenId": "51c1745883a62db6cf47f5765bd695317a01e54bcaaaeaa4aab0b517d2f46a24",
      "index": 2,
      "amount": 1,
      "name": "RSN.V-test",
      "decimals": 0,
      "type": "EIP-004"
    }
  ],
  "additionalRegisters": {
    "R4": {
      "serializedValue": "1a01046572676f",
      "sigmaType": "Coll[Coll[SByte]]",
      "renderedValue": "[6572676f]"
    },
    "R5": {
      "serializedValue": "110100",
      "sigmaType": "Coll[SLong]",
      "renderedValue": "[0]"
    },
    "R6": {
      "serializedValue": "1104d00f8c010228",
      "sigmaType": "Coll[SLong]",
      "renderedValue": "[1000,70,1,20]"
    },
    "R7": {
      "serializedValue": "0400",
      "sigmaType": "SInt",
      "renderedValue": "0"
    }
  },
  "spentTransactionId": "68f6e5c8464e4e54d8eb2a274e678ed6ff0f92f27fd15357e6b015a94b59868e",
  "mainChain": true
}