Token

d6941cb138ff2442d42a9636b8acf1ac06e2ca0665a884030e69499f0a2b139d

ID
d6941cb138ff2442d42a9636b8acf1ac06e2ca0665a884030e69499f0a2b139d
Name
Raffle_token: ErgoLearn (DeCo) Funding
Emission amount
1000000000
Decimals
0
Description
Raffle_token: ErgoLearn (DeCo) Funding
Type
EIP-004
Issuer Box
{
  "boxId": "d6941cb138ff2442d42a9636b8acf1ac06e2ca0665a884030e69499f0a2b139d",
  "transactionId": "ee80f5aeb526457d1d3baac065e119a2124ddf1b0ff241febf5e05c5e57be361",
  "blockId": "913b9687bbb5d5222b762da38ff39daab8020a5d2917e76c9e5d34a255700f92",
  "value": 998900000,
  "index": 0,
  "globalIndex": 11710512,
  "creationHeight": 658077,
  "settlementHeight": 658079,
  "ergoTree": "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",
  "ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n4: SigmaProp(ProveDlog(ECPoint(7a0d1f,2990ea,...)))\n5: 1\n6: 0\n7: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n8: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n9: 5\n10: 4\n11: 0\n12: false\n13: 1\n14: 1\n15: 0\n16: 2\n17: 5\n18: 0\n19: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n20: 1\n21: Coll(93,72,114,-24,26,-6,-36,-125,34,23,-88,-83,36,-65,-47,-29,107,-87,-34,43,88,-116,-8,-80,68,21,80,-1,-9,-115,-39,-13)\n22: 6\n23: 0\n24: 100\n25: 5\n26: 0\n27: 2\n28: 0\n29: Coll(-68,-88,-80,-42,45,27,65,-97,8,-33,-53,-8,95,-44,76,-16,-69,122,-116,-94,64,23,66,89,110,-32,-99,7,47,103,85,55)\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  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), box1.propositionBytes == SELF.propositionBytes, coll2(placeholder[Int](18))._1 == placeholder[Coll[Byte]](\n                19\n              ), coll6 == coll7, box1.value >= SELF.value, l4 == l5 - placeholder[Long](20), box1.R4[Long].get == l9, box1.R5[\n                Coll[Byte]\n              ].get == coll10, blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](21), coll12.size == placeholder[Int](\n                22\n              ), l13 == l9, l14 > placeholder[Long](23), l14 + l13 < placeholder[Long](24), coll12(placeholder[Int](25)) == placeholder[Long](26), box11.R5[\n                Coll[Byte]\n              ].isDefined, box11.R6[Coll[Coll[Byte]]].get.size >= placeholder[Int](27), box11.R7[Coll[Byte]].get == coll10, box11.R8[\n                Coll[Byte]\n              ].get == coll15, box11.tokens(placeholder[Int](28))._1 == coll7, blake2b256(box16.propositionBytes) == placeholder[Coll[Byte]](29), box16.tokens(\n                placeholder[Int](30)\n              )._1 == coll15, OUTPUTS(placeholder[Int](31)).tokens.size == placeholder[Int](32)\n            )\n          )\n        )\n      )}\n    )}\n  }\n}",
  "address": "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",
  "assets": [
    {
      "tokenId": "53577ffaa01a07d66ed7f1170932a7391976eaedb6c1d9145d8947e53e25f28a",
      "index": 0,
      "amount": 1,
      "name": "ErgoRaffle NFT V1",
      "decimals": 0,
      "type": "EIP-004"
    },
    {
      "tokenId": "32b3ce8196bd7ac4deb7e38e76e9a576ca4f449ad30cc22ee33e10a975893c76",
      "index": 1,
      "amount": 999999999999998,
      "name": "ErgoRaffle Token V1",
      "decimals": 0,
      "type": "EIP-004"
    }
  ],
  "additionalRegisters": {
    "R4": {
      "serializedValue": "050a",
      "sigmaType": "SLong",
      "renderedValue": "5"
    },
    "R5": {
      "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
      "sigmaType": "Coll[SByte]",
      "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
    }
  },
  "spentTransactionId": "36a9b98a8a16b83255f5832d27e46c270a1bb58433ca9dfb18f4dc05a03c4861",
  "mainChain": true
}