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Inputs (2)
Output transaction:
Settlement height:
Value:
0.0004 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
5.62 ERG
Tokens:
Loading assets...
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.0032 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
5.62 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 2.61 KB
Received time: 5/21/2023 12:40:46 PM
Included in blocks: 1,008,495
Confirmations: 752,372
Total coins transferred: 5.62 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000747 ERG
Raw Transaction Data
{
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  "blockId": "2c500eb7d51fa388a5d82d416e19b096a50e457296d1302a53c367c93465bb78",
  "inclusionHeight": 1008495,
  "timestamp": 1684672846356,
  "index": 34,
  "globalIndex": 5240017,
  "numConfirmations": 752372,
  "inputs": [
    {
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      "outputBlockId": "099479550bfc22966bb0a89b84fa1f1aa2ee11578c2c1a5bdb4fc2137fe8b407",
      "outputTransactionId": "66efebc97bcf12e7ebce64153e9bde18c994556feb92b0fbad151e902a0b40ee",
      "outputIndex": 1,
      "outputGlobalIndex": 29308031,
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      "ergoTree": "0008cd025031ca056b8f9e910a9879059d5edf27a7322285832a60aed9655d5a0114a603",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5031ca,8c2779,...)))}",
      "address": "9f8NyYCwxKgfhM4vmAWt2zPkQmmfw1teG61dyQRhfrw1kLmGfnv",
      "assets": [
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    {
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5031ca,8c2779,...)))}",
      "address": "9f8NyYCwxKgfhM4vmAWt2zPkQmmfw1teG61dyQRhfrw1kLmGfnv",
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      ],
      "additionalRegisters": {}
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  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "c334b9e2945f1eaea3cd4e033dbb8acc113ee5ec99a0ea122dba393e6e59203a",
      "transactionId": "2e73b76ad607298dca6425486e04fa3bcfeac4f9f0c2bbf049a96306c4fadf09",
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      "ergoTreeConstants": "0: 0\n1: Coll(-81,98,-99,-114,99,-48,-118,-105,112,-68,84,63,-128,123,-37,-126,-36,-38,-108,45,78,33,-43,6,119,31,-105,93,-62,-77,-3,58)\n2: Coll(0,8,-51,2,80,49,-54,5,107,-113,-98,-111,10,-104,121,5,-99,94,-33,39,-89,50,34,-123,-125,42,96,-82,-39,101,93,90,1,20,-90,3)\n3: SigmaProp(ProveDlog(ECPoint(5031ca,8c2779,...)))\n4: 2\n5: 5\n6: 1\n7: 2\n8: 0\n9: 0\n10: 9223372036854775806\n11: 0\n12: Coll(5,8,-13,98,61,75,43,-29,-67,-71,115,123,62,101,100,79,1,17,103,-18,-5,-125,13,-103,101,32,95,2,44,-19,-92,13)\n13: 3\n14: 0\n15: 4\n16: 71\n17: 1\n18: 1\n19: 2\n20: Coll(16,5,4,0,4,0,14,54,16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1,16,1,2,4,2,-47,-106,-125,3,1,-109,-93,-116,-57,-78,-91,115,0,0,1,-109,-62,-78,-91,115,1,0,116,115,2,115,3,-125,1,8,-51,-18,-84)\n21: 0\n22: 0\n23: 2000000\n24: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val coll3 = placeholder[Coll[Byte]](2)\n  placeholder[SigmaProp](3) || sigmaProp(if ((INPUTS.size >= placeholder[Int](4)) && (box1.tokens.size == placeholder[Int](5))) {(\n      val coll4 = box1.tokens\n      val box5 = OUTPUTS(placeholder[Int](6))\n      val coll6 = box1.id\n      val box7 = OUTPUTS(placeholder[Int](7))\n      val l8 = SELF.tokens(placeholder[Int](8))._2\n      (((coll4(placeholder[Int](9))._1 == coll2) && ((box5.propositionBytes == coll3) && ((coll6, placeholder[Long](10)) == box5.tokens(placeholder[Int](11))))) && ((((((blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](12)) && (box7.R6[SigmaProp].get.propBytes == coll3)) && (box7.R7[Coll[Byte]].get == coll2)) && ((coll4(placeholder[Int](13))._1, l8) == box7.tokens(placeholder[Int](14)))) && ((coll4(placeholder[Int](15))._1, l8 * placeholder[Int](16).toLong) == box7.tokens(placeholder[Int](17)))) && ((coll6, placeholder[Long](18)) == box7.tokens(placeholder[Int](19))))) && (OUTPUTS.map({(box9: Box) => if (box9.propositionBytes == placeholder[Coll[Byte]](20)) { box9.value } else { placeholder[Long](21) } }).fold(placeholder[Long](22), {(tuple9: (Long, Long)) => tuple9._1 + tuple9._2 }) <= placeholder[Long](23))\n    )} else { placeholder[Boolean](24) })\n}",
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      "assets": [
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          "amount": 13420853,
          "name": "ERG_SigUSD_LP",
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          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "d95f3c679bb9c460f58acb40358387c47930115c1159667b3c645cfe65b4ee62",
      "mainChain": true
    },
    {
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      "value": 5618559912,
      "index": 1,
      "globalIndex": 29308861,
      "creationHeight": 1008493,
      "settlementHeight": 1008495,
      "ergoTree": "0008cd025031ca056b8f9e910a9879059d5edf27a7322285832a60aed9655d5a0114a603",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5031ca,8c2779,...)))}",
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      "ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
      "ergoTreeScript": "{sigmaProp(\n  allOf(\n    Coll[Boolean](\n      HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n        placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n      ), OUTPUTS.size == placeholder[Int](4)\n    )\n  )\n)}",
      "address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "a336d9816639e842f9721ae87cd30941df0b7cf983dd690b502a47e0e1735a27",
      "mainChain": true
    }
  ],
  "size": 2676,
  "isUnconfirmed": false
}