Token

81d658e680c20a4feafeb62426df9bd39b1ecd8266cc77eb6cba55f0e20ab280

ID
81d658e680c20a4feafeb62426df9bd39b1ecd8266cc77eb6cba55f0e20ab280
Name
Sigma Series v1 006 - Lab safety 6
Emission amount
1
Decimals
0
Description
{ "Collection":"Lycan Labs", "Series":"Sigma Series v1", "Theme":"Lab safety", "Number":"006/045", "Remarks":"Commissioned by @Kill_it_w_coffee. The Sigma Series v1 consists of 5 themes with 9 NFTs each.", "Artist Twitter":"@LycanNFT22", "Mint address":"9eXsnZzmkr99Kr8DxHjNFhVnjtHHYYZ25y6hEVw58DxSCXDaQVe", "Mint Date":"19/03/2023" }
Type
EIP-004
Issuer Box
{
  "boxId": "81d658e680c20a4feafeb62426df9bd39b1ecd8266cc77eb6cba55f0e20ab280",
  "transactionId": "b4be0f098a469c819f13784dcca497226c18a9c1b53da41b1b242e63e11d965c",
  "blockId": "549cfad8f3ac34d5e263d6aa5402ecfbcb5460c6b9a650bea4722add7e7ccee7",
  "value": 2000000,
  "index": 0,
  "globalIndex": 27589508,
  "creationHeight": 964000,
  "settlementHeight": 964002,
  "ergoTree": "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",
  "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 2\n5: 1\n6: 1000000\n7: Coll(0,8,-51,2,1,-39,-63,-34,69,5,52,-92,56,-64,72,122,60,-34,-54,-39,-39,121,-41,-35,32,80,-106,0,-14,106,-42,34,-52,-76,-63,121)\n8: Coll(1,1)\n9: Coll(-74,56,-13,-35,-20,-82,1,-43,12,17,-22,-35,-24,16,-47,-105,-6,-92,-2,-71,94,-53,119,-87,103,54,112,-45,-64,55,101,-114)\n10: 0\n11: 4000000\n12: Coll(0,8,-51,2,1,-39,-63,-34,69,5,52,-92,56,-64,72,122,60,-34,-54,-39,-39,121,-41,-35,32,80,-106,0,-14,106,-42,34,-52,-76,-63,121)\n13: 1679259660416",
  "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": "27MsbVTqUGG4XCBKyWfKSgXs6UZyjYk8YYwNsbagBDjTQBiwtQ6bYfcXEz3iHGmDypde1rVUChMhFi2nKD5dE7b8n3NchLBqkTjSWiryKxJT6eo8jgaZuc3MhyHxgfQnwUTCXXxPqtz6Ysk2uwXTH9N1widqJL9Z9YJRu6hxuQtjQmFxfLMUVFtrvenDm6aikziHvP54bTZuMgZaaHkqmhfNQ7eonAsYrhw5ZvVhFs1pUav2xZ7VV7fc5RuJ6Vo4CxL2YBywYvjvdjNWGsFwPWHuCnpXda4JrckNmwDTsFNT8mKj9Mq1JJgsTkqB7hNWUtXgGCRtvXc5oTJifAJcqftKvCv1y7M6APjGTV4RTN8smY4PMbQxjE6HudT3axYL2",
  "assets": [],
  "additionalRegisters": {
    "R4": {
      "serializedValue": "043c",
      "sigmaType": "SInt",
      "renderedValue": "30"
    },
    "R5": {
      "serializedValue": "0e240008cd0201d9c1de450534a438c0487a3cdecad9d979d7dd20509600f26ad622ccb4c179",
      "sigmaType": "Coll[SByte]",
      "renderedValue": "0008cd0201d9c1de450534a438c0487a3cdecad9d979d7dd20509600f26ad622ccb4c179"
    }
  },
  "spentTransactionId": "4335963aa61effd2fea666b95b144e300269107f539adfc5e59e33809995fcf3",
  "mainChain": true
}