Token

7e6057a3e7138d6fbd39ea0fe4dafdc461b8813b4406a7b5bf45183bf6f3d30c

ID
7e6057a3e7138d6fbd39ea0fe4dafdc461b8813b4406a7b5bf45183bf6f3d30c
Name
Raffle_token: Cryptocurrency Education blog
Emission amount
1000000000
Decimals
0
Description
Raffle_token: Cryptocurrency Education blog
Type
EIP-004
Issuer Box
{
  "boxId": "7e6057a3e7138d6fbd39ea0fe4dafdc461b8813b4406a7b5bf45183bf6f3d30c",
  "transactionId": "8eb19dff41da9a8218ae0bf136f81d7c97c4a7056e1adf60a6a9d99a95bd353c",
  "blockId": "17978bb4b6a9c98e6f9a94525c30aa21f4412946a75de47a57ac54e9742ee4f0",
  "value": 3000000,
  "index": 0,
  "globalIndex": 6969250,
  "creationHeight": 570633,
  "settlementHeight": 570635,
  "ergoTree": "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",
  "ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: SigmaProp(ProveDlog(ECPoint(7a0d1f,2990ea,...)))\n4: 1\n5: 0\n6: 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)\n7: 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)\n8: 5\n9: 4\n10: 0\n11: false\n12: 1\n13: 1\n14: 0\n15: 2\n16: 5\n17: 4\n18: 0\n19: 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)\n20: 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)\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: 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)\n30: 0\n31: 3\n32: 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  if (l4 == l5) { placeholder[SigmaProp](3) } else {\n    if (l4 == l5 + placeholder[Long](4)) {\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](5)\n            )._1 == placeholder[Coll[Byte]](6), coll6 == placeholder[Coll[Byte]](7), box1.value >= SELF.value\n          )\n        )\n      )\n    } else {(\n      val i7 = OUTPUTS.size\n      if ((i7 == placeholder[Int](8)) && (OUTPUTS(placeholder[Int](9)).tokens.size > placeholder[Int](10))) { sigmaProp(placeholder[Boolean](11)) } else {(\n        val l8 = SELF.R4[Long].get\n        val coll9 = SELF.R5[Coll[Byte]].get\n        val box10 = OUTPUTS(placeholder[Int](12))\n        val coll11 = box10.R4[Coll[Long]].get\n        val l12 = coll11(placeholder[Int](13))\n        val l13 = coll11(placeholder[Int](14))\n        val coll14 = SELF.id\n        val box15 = OUTPUTS(placeholder[Int](15))\n        sigmaProp(\n          allOf(\n            Coll[Boolean](\n              i7 <= placeholder[Int](16), i7 >= placeholder[Int](17), box1.propositionBytes == SELF.propositionBytes, coll2(\n                placeholder[Int](18)\n              )._1 == placeholder[Coll[Byte]](19), coll6 == placeholder[Coll[Byte]](20), box1.value >= SELF.value, l4 == l5 - placeholder[Long](21), box1.R4[\n                Long\n              ].get == l8, box1.R5[Coll[Byte]].get == coll9, blake2b256(box10.propositionBytes) == placeholder[Coll[Byte]](22), coll11.size == placeholder[Int](\n                23\n              ), l12 == l8, l13 > placeholder[Long](24), l13 + l12 < placeholder[Long](25), coll11(placeholder[Int](26)) == placeholder[Long](27), box10.R5[\n                Coll[Byte]\n              ].isDefined, box10.R6[Coll[Coll[Byte]]].get.size >= placeholder[Int](28), box10.R7[Coll[Byte]].get == coll9, box10.R8[\n                Coll[Byte]\n              ].get == coll14, blake2b256(box15.propositionBytes) == placeholder[Coll[Byte]](29), box15.tokens(placeholder[Int](30))._1 == coll14, OUTPUTS(\n                placeholder[Int](31)\n              ).tokens.size == placeholder[Int](32)\n            )\n          )\n        )\n      )}\n    )}\n  }\n}",
  "address": "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",
  "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": "cb78c3286a9e04746fbca093bc1d6ee819c60faa8a269cddfea943cdf491a7c1",
  "mainChain": true
}