Token

9700efd45417a940f9d8d222094baa589ee31a352e6f9690b2ab5c6b083e94b4

ID
9700efd45417a940f9d8d222094baa589ee31a352e6f9690b2ab5c6b083e94b4
Name
WID-e94b4-jH4CNTA
Emission amount
3
Decimals
0
Description
Rosen Watcher ID (9fe7dCA88KhZUkwTwg9g7Q5jox1KM87GAXmYtbjsv2GejH4CNTA)
Type
EIP-004
Issuer Box
{
  "boxId": "9700efd45417a940f9d8d222094baa589ee31a352e6f9690b2ab5c6b083e94b4",
  "transactionId": "24528424944e2794adc9727995919916fb81da4b6a2e9cbdbff3698d1ca49082",
  "blockId": "d05b95f773fa0b86f647d40e6c7d38b3da80651d6f9a6e92e7025edb6d836d0a",
  "value": 1100000,
  "index": 0,
  "globalIndex": 5414537,
  "creationHeight": 1259248,
  "settlementHeight": 1259250,
  "ergoTree": "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",
  "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(28,88,-101,-53,16,-118,68,8,-26,94,-15,-42,-121,102,-79,2,-73,-62,-34,-36,17,22,28,97,-114,65,50,37,17,15,-4,106)\n3: true\n4: 1\n5: 1\n6: 3\n7: 3\n8: 2\n9: 2\n10: 0\n11: 2\n12: 1\n13: 0\n14: Coll(79,-74,20,113,2,-109,-13,27,-58,-68,118,-18,28,-11,3,24,-31,126,12,13,-90,88,-127,84,-113,7,-88,48,-66,20,107,-102)\n15: 1\n16: 3\n17: 0\n18: 0\n19: 5\n20: 1\n21: 3\n22: 0\n23: Coll(38,-37,3,-51,60,-121,-104,-83,53,-43,53,-14,-124,-109,-90,72,55,18,-63,-123,-59,32,61,-118,-38,-16,96,-112,39,-33,41,-3)\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}",
  "address": "NY4PEzZ7VfjpNoLnefChhmgM2oJtdWNGFSxKYpitfiwazLYAqZhaA5c5HtXe4oFh3LHzzVWFEEkLTB6quL93sCyxpGoVDAx1D5nJmYXb9Ad1wyHKrsqdY9RsfSgiQBxMx7ozjUDCqp9UP7DfF3vvhrxdaTyiD218NF7JJwBJWLSzAn7d2ggSognJTz6AABp5pUBnuQrgnQmzVw6jgXk2iDMpLPYZPuHorFrtj3xbBeQjjzDuPGJpxfdzd5jqvoMRP6tt3pJLjc1Ee6ZcnaZxM62fKSQoC43mX5DRFALsUwnNq47rANAbZXKYNoostx6edVt8bggvwJCKsHKuv6urACwkqshxZAVXqWPEWyr4MK9zonLfYnRrx1UDyJmeFxiiVm7Cp9L6DYdNFXhytrvxHzrb2WF9gqvNC9Ha5SC16nyNK5hUbm2bmd982nMvNy33Bt7MNBXmrh3R7coZe3iLcHT44naT54xNY1mTLSMVEcpUChASQp1TiN9H5KDHxZx7smxURyoorXkw69GvJLF2AVzj6WnS8bDVzEH4G7ZRcK9GpUT4J2fxrNo6ptfRDmSqdcXmZh5ZwaMZgw3PNKPJw3FUGsN8XRzVCKEiXQYTeydcCcGhk1LA6iGGfcaUTLurxsx7G1Q7J4xmAyfP4DykQW8EEnRX3ZTBzizvL6RK7TV1FTJGYA4kxg5XyendDioy1eocKiKai5nT3EsXXRRDKa1qP2K2EkEKrfFattW6eZeVJrBZWMwpbDkqwCE3EEPmt6f6hkSMz2feiq1Ls3ww7DFKbDVSmZd7Sjg3A6hV1uhjRTRLLMoA4CmNkS35PuNdoSEYRZiMzuXEiKCRg3SmTD6qehmAWibAqrrpKPRZRyzj1kZbcphkG2G2xvJc6cK6otPaXCyKztokKfW3vNkpUCj8moNYiis58uxWujZ98xZPurRw1EDABhk31GTGMnUkQiUkxKXSZohriLYMgQQPBrhELwHcMY4HFs3iTguJdQ7FXiH4K2TQhn6WmRinzJrdR8dZixcxCLZZ9ek4nPDzKD2ihnoxe7fyjZPR9PP8iAPj1sJdcNdJKp645DBLq2pY6dH8vysUPx9syEUbwR6Xg9EMvSiLv3dTu2wzn1bzHi3iawGUY7FsUYZXeiC7BJR2Nz6BTag2mXfvh3YJ67Ac38ZD6j3A4PoYFciGCKajR13yBHMmDjFPAthqw9qVouzDT6Ly2hHrpCTuDejPtQxs1o6r6x3b56",
  "assets": [
    {
      "tokenId": "923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e3",
      "index": 0,
      "amount": 1,
      "name": "RosenRWTRepo-loen",
      "decimals": 0,
      "type": "EIP-004"
    },
    {
      "tokenId": "72a9208a66c8a0d61d6b5abb2beb3afdd07a8bede0f54c0aebef2da8287fc247",
      "index": 1,
      "amount": 999200000,
      "name": "BTC-RWT-dev",
      "decimals": 0,
      "type": "EIP-004"
    },
    {
      "tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
      "index": 2,
      "amount": 800001,
      "name": "RSN-loen",
      "decimals": 3,
      "type": "EIP-004"
    },
    {
      "tokenId": "b32713f357fe0364cb9800e3499e456614a34bdaa1e3b902902f04fffd75ac92",
      "index": 3,
      "amount": 92,
      "name": "BTC-AWC-dev",
      "decimals": 0,
      "type": "EIP-004"
    }
  ],
  "additionalRegisters": {
    "R4": {
      "serializedValue": "0e07626974636f696e",
      "sigmaType": "Coll[SByte]",
      "renderedValue": "626974636f696e"
    },
    "R5": {
      "serializedValue": "0510",
      "sigmaType": "SLong",
      "renderedValue": "8"
    }
  },
  "spentTransactionId": "14216e16d1463176d97f51305984073edd53148e745de9652fb5b5c34e89f15a",
  "mainChain": true
}