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Inputs (6)
Output transaction:
Settlement height:
Value:
1.7 ERG
Output transaction:
Settlement height:
Value:
0.000857611 ERG
Tokens:
399.44
Output transaction:
Settlement height:
Value:
0.251104182 ERG
Tokens:
657.07
Output transaction:
Settlement height:
Value:
0.00084495 ERG
Tokens:
496.19
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.920327547 ERG
Tokens:
Loading assets...
Outputs (3)
Spent in transaction:
Settlement height:
Value:
2.26 ERG
Spent in transaction:
Settlement height:
Value:
0.613983368 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 2.51 KB
Received time: 3/11/2023 09:15:24 PM
Included in blocks: 958,268
Confirmations: 811,263
Total coins transferred: 2.87 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000778 ERG
Raw Transaction Data
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  "inclusionHeight": 958268,
  "timestamp": 1678569324223,
  "index": 2,
  "globalIndex": 4882892,
  "numConfirmations": 811263,
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      "ergoTree": "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",
      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(5031ca,8c2779,...)))\n1: 0\n2: 2248591007\n3: 2\n4: 3\n5: 1\n6: 0\n7: 0\n8: Coll(-103,22,-41,81,50,89,60,-117,7,-2,24,-67,-115,88,59,-38,22,82,-18,-41,86,92,-12,26,71,56,-35,-39,15,-55,-110,-20)\n9: Coll(3,-6,-14,-53,50,-97,46,-112,-42,-46,59,88,-39,27,-69,108,4,106,-95,67,38,28,-62,31,82,-5,-30,-126,75,-4,-65,4)\n10: 280\n11: 21428571428571428\n12: 1000000000000\n13: 2\n14: 995\n15: CBigInt(1)\n16: 1000\n17: 2248591007\n18: 995\n19: 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)\n20: 0\n21: 0\n22: 2000000\n23: false",
      "ergoTreeScript": "{\n  val prop1 = placeholder[SigmaProp](0)\n  val box2 = INPUTS(placeholder[Int](1))\n  val l3 = placeholder[Long](2)\n  prop1 || sigmaProp(if ((INPUTS.size == placeholder[Int](3)) && (box2.tokens.size == placeholder[Int](4))) {(\n      val coll4 = box2.tokens\n      val box5 = OUTPUTS(placeholder[Int](5))\n      val tuple6 = box5.tokens(placeholder[Int](6))\n      val bi7 = tuple6._2.toBigInt\n      ((((((coll4(placeholder[Int](7))._1 == placeholder[Coll[Byte]](8)) && (box5.propositionBytes == prop1.propBytes)) && (tuple6._1 == placeholder[Coll[Byte]](9))) && (bi7 >= placeholder[Long](10).toBigInt)) && (box5.value.toBigInt >= SELF.value.toBigInt - bi7 * placeholder[Long](11).toBigInt / placeholder[Long](12).toBigInt - l3.toBigInt)) && (coll4(placeholder[Int](13))._2.toBigInt * l3.toBigInt * placeholder[Int](14).toBigInt <= bi7 + placeholder[BigInt](15) * box2.value.toBigInt * placeholder[Int](16).toBigInt + placeholder[Long](17) * placeholder[Int](18).toLong.toBigInt)) && (OUTPUTS.map({(box8: Box) => if (box8.propositionBytes == placeholder[Coll[Byte]](19)) { box8.value } else { placeholder[Long](20) } }).fold(placeholder[Long](21), {(tuple8: (Long, Long)) => tuple8._1 + tuple8._2 }) <= placeholder[Long](22))\n    )} else { placeholder[Boolean](23) })\n}",
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      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "7124e5135d59cd88c136e38d0484a690642d256a61b2cb7dc8514b251b767e71",
      "mainChain": true
    },
    {
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      "transactionId": "48363c413b86050b380d01fe82e29e3094c50d10227d01c805fceb9d8e2be4c3",
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      "value": 613983368,
      "index": 1,
      "globalIndex": 27317255,
      "creationHeight": 958266,
      "settlementHeight": 958268,
      "ergoTree": "0008cd025031ca056b8f9e910a9879059d5edf27a7322285832a60aed9655d5a0114a603",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5031ca,8c2779,...)))}",
      "address": "9f8NyYCwxKgfhM4vmAWt2zPkQmmfw1teG61dyQRhfrw1kLmGfnv",
      "assets": [
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          "type": "EIP-004"
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      ],
      "additionalRegisters": {},
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      "creationHeight": 958266,
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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)}",
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      "additionalRegisters": {},
      "spentTransactionId": "845d33c7d59b7781dad9017fecc3fa430c2b5c661750f6a81fad75e22aec5e34",
      "mainChain": true
    }
  ],
  "size": 2571,
  "isUnconfirmed": false
}