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Inputs (1)
Output transaction:
Settlement height:
Value:
46.63 ERG
Tokens:
Loading assets...
Outputs (3)
Spent in transaction:
Settlement height:
Value:
18.54 ERG
Tokens:
2,000
Spent in transaction:
Settlement height:
Value:
28.09 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 2.9 KB
Received time: 2/1/2022 08:52:48 PM
Included in blocks: 676,779
Confirmations: 1,091,397
Total coins transferred: 46.63 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000674 ERG
Raw Transaction Data
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  "inclusionHeight": 676779,
  "timestamp": 1643748768262,
  "index": 2,
  "globalIndex": 2556925,
  "numConfirmations": 1091397,
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      "ergoTree": "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",
      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(886aa2,383546,...)))\n1: 0\n2: 18533920365\n3: 2\n4: 3\n5: 1\n6: 1\n7: 9223372036854775807\n8: 2\n9: 0\n10: 0\n11: 0\n12: Coll(125,46,40,67,16,99,-53,-79,-23,-31,68,104,-6,-52,71,-71,-124,-39,98,83,44,25,-80,-79,79,116,-48,-50,-98,-44,89,-66)\n13: 2\n14: 1\n15: 6000000\n16: 18533920365\n17: 6000000\n18: false\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 = coll4(placeholder[Int](6))\n      val bi7 = placeholder[Long](7) - tuple6._2.toBigInt\n      val bi8 = box2.value.toBigInt\n      val bi9 = l3.toBigInt * bi7 / bi8\n      val tuple10 = coll4(placeholder[Int](8))\n      val bi11 = tuple10._2.toBigInt\n      val bi12 = SELF.tokens(placeholder[Int](9))._2.toBigInt * bi7 / bi11\n      val coll13 = box5.tokens\n      val tuple14 = coll13(placeholder[Int](10))\n      (((((coll4(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12)) && (box5.propositionBytes == prop1.propBytes)) && if ((bi9 < bi12) && (coll13.size == placeholder[Int](13))) {(\n              val tuple15 = coll13(placeholder[Int](14))\n              ((box5.value >= SELF.value - placeholder[Long](15) - placeholder[Long](16)) && (tuple15._1 == tuple10._1)) && (tuple15._2.toBigInt >= bi12 - bi9 * bi11 / bi7)\n            )} else { if (bi9 >= bi12) { box5.value.toBigInt >= SELF.value - placeholder[Long](17).toBigInt - l3.toBigInt - bi9 - bi12 * bi8 / bi7 } else { placeholder[Boolean](18) } }) && (tuple14._1 == tuple6._1)) && (tuple14._2.toBigInt >= min(bi9, bi12))) && (OUTPUTS.map({(box15: Box) => if (box15.propositionBytes == placeholder[Coll[Byte]](19)) { box15.value } else { placeholder[Long](20) } }).fold(placeholder[Long](21), {(tuple15: (Long, Long)) => tuple15._1 + tuple15._2 }) <= placeholder[Long](22))\n    )} else { placeholder[Boolean](23) })\n}",
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      "assets": [
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          "name": "NETA",
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          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "bcf902ed04c94f035ecede4354133d275624728f9b21c1571440f7064ed6ee1b",
      "mainChain": true
    },
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      "globalIndex": 12690564,
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      "ergoTree": "0008cd02886aa2094623ac6deccd24dd82df93574892b9d9688816e8d8a47aaa0c58ce43",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(886aa2,383546,...)))}",
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}