Token

06055cd5447c3f623a809882342103123d6ee570c224b7a815bd629d1ced17e8

ID
06055cd5447c3f623a809882342103123d6ee570c224b7a815bd629d1ced17e8
Name
Raffle_token: Ergo Tutorials Example
Emission amount
1000000000
Decimals
0
Description
Raffle_token: Ergo Tutorials Example
Type
EIP-004
Issuer Box
{
  "boxId": "06055cd5447c3f623a809882342103123d6ee570c224b7a815bd629d1ced17e8",
  "transactionId": "4b6bfa4268dbc30e2786eef082e989d4c965b9594ae9c80dcc8a1feeb47dcd37",
  "blockId": "ea565fecdc3e8cce106384558fe638a5fbcc820303e0300719ca63eb879bacb4",
  "value": 1500000,
  "index": 0,
  "globalIndex": 8248427,
  "creationHeight": 595097,
  "settlementHeight": 595099,
  "ergoTree": "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",
  "ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: Coll(14,-42,103,127,100,93,-76,-42,-30,-102,-89,118,-3,-8,67,55,106,-29,-49,65,-14,18,4,28,99,4,30,92,61,88,-77,-79)\n4: SigmaProp(ProveDlog(ECPoint(7a0d1f,2990ea,...)))\n5: 1\n6: 0\n7: Coll(0,-18,7,120,84,71,26,4,-5,-17,24,-91,-87,113,-75,15,-77,-97,82,-4,111,107,59,-115,6,-126,-50,44,72,-10,-21,-17)\n8: Coll(14,-42,103,127,100,93,-76,-42,-30,-102,-89,118,-3,-8,67,55,106,-29,-49,65,-14,18,4,28,99,4,30,92,61,88,-77,-79)\n9: 5\n10: 4\n11: 0\n12: false\n13: 1\n14: 1\n15: 0\n16: 2\n17: 5\n18: 4\n19: 0\n20: Coll(0,-18,7,120,84,71,26,4,-5,-17,24,-91,-87,113,-75,15,-77,-97,82,-4,111,107,59,-115,6,-126,-50,44,72,-10,-21,-17)\n21: 1\n22: Coll(100,-7,107,2,-76,-126,50,12,109,93,27,33,8,49,1,-49,-120,118,-121,104,8,-10,55,-125,41,5,102,74,104,-29,-32,121)\n23: 6\n24: 0\n25: 100\n26: 5\n27: 0\n28: 2\n29: 0\n30: Coll(-96,-14,30,71,61,36,-85,65,95,-1,29,24,-85,-109,27,94,-72,-101,124,-127,-28,-4,-34,49,17,-64,-17,20,-74,87,-3,-85)\n31: 0\n32: 3\n33: 0",
  "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val l4 = tuple3._2\n  val l5 = SELF.tokens(placeholder[Int](2))._2\n  val coll6 = tuple3._1\n  val coll7 = placeholder[Coll[Byte]](3)\n  if (l4 == l5) { placeholder[SigmaProp](4) } else {\n    if (l4 == l5 + placeholder[Long](5)) {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box1.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, box1.R4[Long].get == SELF.R4[Long].get, box1.propositionBytes == SELF.propositionBytes, coll2(\n              placeholder[Int](6)\n            )._1 == placeholder[Coll[Byte]](7), coll6 == placeholder[Coll[Byte]](8), box1.value >= SELF.value\n          )\n        )\n      )\n    } else {(\n      val i8 = OUTPUTS.size\n      if ((i8 == placeholder[Int](9)) && (OUTPUTS(placeholder[Int](10)).tokens.size > placeholder[Int](11))) { sigmaProp(placeholder[Boolean](12)) } else {(\n        val l9 = SELF.R4[Long].get\n        val coll10 = SELF.R5[Coll[Byte]].get\n        val box11 = OUTPUTS(placeholder[Int](13))\n        val coll12 = box11.R4[Coll[Long]].get\n        val l13 = coll12(placeholder[Int](14))\n        val l14 = coll12(placeholder[Int](15))\n        val coll15 = SELF.id\n        val box16 = OUTPUTS(placeholder[Int](16))\n        sigmaProp(\n          allOf(\n            Coll[Boolean](\n              i8 <= placeholder[Int](17), i8 >= placeholder[Int](18), box1.propositionBytes == SELF.propositionBytes, coll2(\n                placeholder[Int](19)\n              )._1 == placeholder[Coll[Byte]](20), coll6 == coll7, box1.value >= SELF.value, l4 == l5 - placeholder[Long](21), box1.R4[Long].get == l9, box1.R5[\n                Coll[Byte]\n              ].get == coll10, blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](22), coll12.size == placeholder[Int](\n                23\n              ), l13 == l9, l14 > placeholder[Long](24), l14 + l13 < placeholder[Long](25), coll12(placeholder[Int](26)) == placeholder[Long](27), box11.R5[\n                Coll[Byte]\n              ].isDefined, box11.R6[Coll[Coll[Byte]]].get.size >= placeholder[Int](28), box11.R7[Coll[Byte]].get == coll10, box11.R8[\n                Coll[Byte]\n              ].get == coll15, box11.tokens(placeholder[Int](29))._1 == coll7, blake2b256(box16.propositionBytes) == placeholder[Coll[Byte]](30), box16.tokens(\n                placeholder[Int](31)\n              )._1 == coll15, OUTPUTS(placeholder[Int](32)).tokens.size == placeholder[Int](33)\n            )\n          )\n        )\n      )}\n    )}\n  }\n}",
  "address": "stKFHrWveNyS4digHrEK67KeQKuyE1cFCGJLH5xfgje7XULTbXkZi6whv8kMv2c7RfwD3w4o9vht2RJxdioXhLJdQ2LJSUTfC2UBuUukJC7kH8yWKFyrj4UKCWrSKoUdoVc8XSPGuPTF4D7gGhWW42kP6xuT6TVyaVG8JJJQxSbUJSnK7PkVQamtYG9CvGo3NU8rZHwcYwFEZJRoLLqrKwP9JCunTpcvDKgax3fwW3CxYE3fkxnqMUrmkcrPSehxiq6UohhndKWisvaSigLdtiXEbFttFUvytbwkk5hMe9nJpQgqiQqwzHDb8ofPVsgn2yp28UBV59gzeRjueoKPDp2rd92VEpTXteeASZrY9k39bN8pHj5UEE8Y3PCaEKw3GeHNh7EJQSrkS2un1GDe7yxEpHTHhZN6VdPvwVvEJSj8htCCJi1WGwjvWLZPEJGAjwpJHArd3cuvnoaL8AyLirkr66VqqbLp7VAxXrp5x1nsCBUY9XkHowzA3QC2vFcm4W74fRbouYcfTFVrSKDxHz5NTkB2zocWNhucdu6voiMicznLqb4UdfdgibfDTYqgPs5etitPPHi6d34uVSvzGpboNzqa5KfTSNQmp8g1hArmnYy3HVbGEoaef9YHujzPYGiUjXVnxnRKygvPaJemGwLxhioW6bUebYRGMhvVfX6HdzTbjn7abJbQVLoqZdsnNTxeNDXmbJoL7eQe2mwdYJ32LzPrtf9w7cdpQkBwWUUWNWSNLaQXtYXTPEGVk2Rex1AGdhL6fv3wJAqVAMbZGKBFqibexgySufKGL7USpcHfc8Z9Livv38vc9kUzjmq4YsdDhn391o9xAv1Quev3t6XqpGu2Lx75j3SKoEWLgNNjq8vfJ9hCjPEuTRMR1QE27YDJ5h4i9VqWFHpfD3iRd98VP3yboBWf4dcrmiejX3Ce47ZcaYjrfDTdrZDW9fZ",
  "assets": [
    {
      "tokenId": "00ee077854471a04fbef18a5a971b50fb39f52fc6f6b3b8d0682ce2c48f6ebef",
      "index": 0,
      "amount": 1,
      "name": "ErgoRaffle NFT",
      "decimals": 0,
      "type": "EIP-004"
    },
    {
      "tokenId": "0ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b1",
      "index": 1,
      "amount": 1000000000000000000,
      "name": "ErgoRaffle Token",
      "decimals": 0,
      "type": "EIP-004"
    }
  ],
  "additionalRegisters": {
    "R4": {
      "serializedValue": "050a",
      "sigmaType": "SLong",
      "renderedValue": "5"
    },
    "R5": {
      "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
      "sigmaType": "Coll[SByte]",
      "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
    }
  },
  "spentTransactionId": "c63f1c0b94de7f7c23a1ae1ea7be229ac911f431360504908ad2fc622c4d52fd",
  "mainChain": true
}