Ad
Inputs (17)
Output transaction:
Settlement height:
Value:
30.72 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
283.74
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
283.74
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
191.48
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
191.48
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
191.48
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
191.48
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
191.48
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
191.48
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
191.48
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
191.48
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
191.48
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
191.48
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
191.48
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
191.48
Output transaction:
Settlement height:
Value:
0.00025 ERG
Tokens:
191.48
Output transaction:
Settlement height:
Value:
50 ERG
Tokens:
Loading assets...
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.00606 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
80.71 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 3.83 KB
Received time: 12/6/2024 04:22:35 PM
Included in blocks: 1,411,397
Confirmations: 357,096
Total coins transferred: 80.72 ERG
Fees: 0.002 ERG
Fees per byte: 0.00000051 ERG
Raw Transaction Data
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  "index": 11,
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  "numConfirmations": 357096,
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      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(e741f2,96cf83,...)))\n1: 0\n2: 2\n3: 4\n4: 1\n5: 1\n6: 9223372036854775807\n7: 2\n8: 0\n9: 3\n10: 1\n11: 0\n12: 0\n13: Coll(-102,52,59,96,31,-113,-86,-75,-71,54,-48,55,-21,-104,21,119,78,78,123,-94,42,63,61,-94,-34,99,93,-88,-29,75,-105,-83)\n14: 1\n15: 6000000\n16: 2\n17: 1\n18: 2\n19: 1\n20: true\n21: false\n22: 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)\n23: 0\n24: 0\n25: 2000000\n26: false",
      "ergoTreeScript": "{\n  val prop1 = placeholder[SigmaProp](0)\n  val box2 = INPUTS(placeholder[Int](1))\n  val coll3 = SELF.tokens\n  prop1 || sigmaProp(if ((INPUTS.size >= placeholder[Int](2)) && (box2.tokens.size == placeholder[Int](3))) {(\n      val coll4 = box2.tokens\n      val box5 = OUTPUTS(placeholder[Int](4))\n      val tuple6 = coll4(placeholder[Int](5))\n      val bi7 = placeholder[Long](6) - tuple6._2.toBigInt\n      val tuple8 = coll4(placeholder[Int](7))\n      val bi9 = tuple8._2.toBigInt\n      val bi10 = coll3(placeholder[Int](8))._2.toBigInt * bi7 / bi9\n      val tuple11 = coll4(placeholder[Int](9))\n      val bi12 = tuple11._2.toBigInt\n      val bi13 = coll3(placeholder[Int](10))._2.toBigInt * bi7 / bi12\n      val coll14 = box5.tokens\n      val tuple15 = coll14(placeholder[Int](11))\n      ((((((coll4(placeholder[Int](12)) == (placeholder[Coll[Byte]](13), placeholder[Long](14))) && (box5.propositionBytes == prop1.propBytes)) && (box5.value >= SELF.value - placeholder[Long](15))) && if ((bi10 < bi13) && (coll14.size == placeholder[Int](16))) {(\n              val tuple16 = coll14(placeholder[Int](17))\n              (tuple16._1 == tuple11._1) && (tuple16._2.toBigInt >= bi13 - bi10 * bi12 / bi7)\n            )} else { if ((bi10 > bi13) && (coll14.size == placeholder[Int](18))) {(\n                val tuple16 = coll14(placeholder[Int](19))\n                (tuple16._1 == tuple8._1) && (tuple16._2.toBigInt >= bi10 - bi13 * bi9 / bi7)\n              )} else { if (bi10 == bi13) { placeholder[Boolean](20) } else { placeholder[Boolean](21) } } }) && (tuple15._1 == tuple6._1)) && (tuple15._2.toBigInt >= min(bi10, bi13))) && (OUTPUTS.map({(box16: Box) => if (box16.propositionBytes == placeholder[Coll[Byte]](22)) { box16.value } else { placeholder[Long](23) } }).fold(placeholder[Long](24), {(tuple16: (Long, Long)) => tuple16._1 + tuple16._2 }) <= placeholder[Long](25))\n    )} else { placeholder[Boolean](26) })\n}",
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      "assets": [
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          "amount": 5944181745,
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          "type": "EIP-004"
        },
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          "name": "Mi Goreng ",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e034d6577",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4d6577"
        }
      },
      "spentTransactionId": "dc3a618d134884f759c95be3c1c89c3dd43b12847a3306ffdcaf4f732234fc41",
      "mainChain": true
    },
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      "index": 1,
      "globalIndex": 44529874,
      "creationHeight": 1411395,
      "settlementHeight": 1411397,
      "ergoTree": "0008cd02e741f2a30ba19351788ed96481471fe9b2acfce7fd14cfdcde1c4d1fe6e87015",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e741f2,96cf83,...)))}",
      "address": "9gGugQdo7buVPRDzvdnKt5BUU36FvjFgutyiu9xYLf4udv3CyVx",
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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": "f8876f419c207cc0140ddfe7bc86ccffae690ffcaa680aefc4e7be55a4107907",
      "mainChain": true
    }
  ],
  "size": 3921,
  "isUnconfirmed": false
}