Token

829a6114bce132a2ae2e6a0776047cca67262e0b0b32d123f9a2666ca0706259

ID
829a6114bce132a2ae2e6a0776047cca67262e0b0b32d123f9a2666ca0706259
Issuing Box ID
674b7048966e90d284dbdbb5b06838e097bce2ae0b25df3f19f35f5cebf830de
Name
Lycan An American Werewolf
Emission amount
1
Decimals
0
Description
{ "Token Description":"An American Werewolf", "Collection":"Lycan Trope", "Tribe":"Prime Tribe 2022-2023", "Token number in collection":"010", "Brother/Sister NFT":"An American Werewolf in Upsidedown London", "Occasion":"Full Moon", "Moon":"Wolf Moon", "Month":"January", "Year":"2023", "Lycans shapeshifted":"2", "Background":"A Wolf Moon is the ideal moment for a movie tribute! From the many werewolf movies out there An American Werewolf in London is one of the most reknowned. The werewolf itself is very well designed, and this is a tribute to that.", "Artist Twitter":"@LycanNFT22", "Mint Address":"9gmNrBJ3RXn3nGSas1mbBwGh5W7BJ7t7SaYiXAFEqPaefESSgD9", "Mint Date":"01/20/2023" }
Type
EIP-004
Issuer Box
{
  "boxId": "829a6114bce132a2ae2e6a0776047cca67262e0b0b32d123f9a2666ca0706259",
  "transactionId": "6dffd8933f20297e69e0acd7636f26e2f50b2ba6fca7f24178453bee803cc9d5",
  "blockId": "42bac55b036395e295b87d8303a17c5a79fa1d5b071e8fe8eb732a419b00cb63",
  "value": 2000000,
  "index": 0,
  "globalIndex": 25794241,
  "creationHeight": 922243,
  "settlementHeight": 922245,
  "ergoTree": "100e0400040004000500040405020580897a0e240008cd0327e60d6baf42d2e0e8e109d9ffdac8bde7e19dda2a5119d022f7015e391ae2060e0201010e20a2f07ece41cd7c94d37e14b18c0b561202bbe02e5ba3d121e3f19fbc0bd21e7505000580a4e8030e240008cd0327e60d6baf42d2e0e8e109d9ffdac8bde7e19dda2a5119d022f7015e391ae206059a89a5e6b961d803d601b2a5730000d602c5b2a4730100d603b2db63087201730201860272027303d1eded93b1a57304ecededededed9372028c720301938c720302730593c17201730693c27201730793e4c67201070e730893e4c67201080e7309ed92c1720199b0a4730ad9010441639a8c720401c18c720402730b93c27201730c8f7ea305730d",
  "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 2\n5: 1\n6: 1000000\n7: Coll(0,8,-51,3,39,-26,13,107,-81,66,-46,-32,-24,-31,9,-39,-1,-38,-56,-67,-25,-31,-99,-38,42,81,25,-48,34,-9,1,94,57,26,-30,6)\n8: Coll(1,1)\n9: Coll(-94,-16,126,-50,65,-51,124,-108,-45,126,20,-79,-116,11,86,18,2,-69,-32,46,91,-93,-47,33,-29,-15,-97,-68,11,-46,30,117)\n10: 0\n11: 4000000\n12: Coll(0,8,-51,3,39,-26,13,107,-81,66,-46,-32,-24,-31,9,-39,-1,-38,-56,-67,-25,-31,-99,-38,42,81,25,-48,34,-9,1,94,57,26,-30,6)\n13: 1674204979789",
  "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = INPUTS(placeholder[Int](1)).id\n  val tuple3 = box1.tokens.getOrElse(placeholder[Int](2), (coll2, placeholder[Long](3)))\n  sigmaProp(\n    (\n      (OUTPUTS.size == placeholder[Int](4)) && (\n        (\n          (\n            (\n              (((coll2 == tuple3._1) && (tuple3._2 == placeholder[Long](5))) && (box1.value == placeholder[Long](6))) && (\n                box1.propositionBytes == placeholder[Coll[Byte]](7)\n              )\n            ) && (box1.R7[Coll[Byte]].get == placeholder[Coll[Byte]](8))\n          ) && (box1.R8[Coll[Byte]].get == placeholder[Coll[Byte]](9))\n        ) || (\n          (box1.value >= INPUTS.fold(placeholder[Long](10), {(tuple4: (Long, Box)) => tuple4._1 + tuple4._2.value }) - placeholder[Long](11)) && (\n            box1.propositionBytes == placeholder[Coll[Byte]](12)\n          )\n        )\n      )\n    ) && (HEIGHT.toLong < placeholder[Long](13))\n  )\n}",
  "address": "27MsbVTqUGG4XCBKyWfKSgXs6UZyjYk8YZyN5JvPfXji7SCGV1A6np6XyQqC9gsWV1cjmMS5CDv3x4FSGwLYkT8hr61qMzMCHK378mEf4J5yDodPjzvEFQUwkTHW6iLCm7CuxebSnGDJaLVeDpXK9hn4vwEWpQyYCbiu593iNQMAK6WEj1X9jWUyoB5sVmEJbhiniMWysnnxcSiV7jPQZJBiE14v1BdRCMB32nng2koiwcoxAq6Kzivawtj97ye45VEb6WFVDgp5xLkNGJRE5LhtVn29811MavwnNomUoxrXmhfvYzg1r7ckw6qg1rESaw4g34q1tDMneqGN4h2ZjDHFF4tfpGDhk4oQrnMXivdhwyQh8BmXk1jSDo3FNWfmw",
  "assets": [],
  "additionalRegisters": {
    "R4": {
      "serializedValue": "04c801",
      "sigmaType": "SInt",
      "renderedValue": "100"
    },
    "R5": {
      "serializedValue": "0e240008cd0327e60d6baf42d2e0e8e109d9ffdac8bde7e19dda2a5119d022f7015e391ae206",
      "sigmaType": "Coll[SByte]",
      "renderedValue": "0008cd0327e60d6baf42d2e0e8e109d9ffdac8bde7e19dda2a5119d022f7015e391ae206"
    }
  },
  "spentTransactionId": "054f3891b278fdd252ac3cb0f0039a05411a0d689e156c426b5a78eddcc2d8af",
  "mainChain": true
}