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Inputs (2)
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
343.2 ERG
Tokens:
Loading assets...
Outputs (3)
Address:
Spent in transaction:
Settlement height:
Value:
3.16 ERG
Spent in transaction:
Settlement height:
Value:
0.0016 ERG
Spent in transaction:
Settlement height:
Value:
340.04 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 3.58 KB
Received time: 9/12/2023 03:03:22 PM
Included in blocks: 1,089,484
Confirmations: 681,581
Total coins transferred: 343.2 ERG
Fees: 0.0016 ERG
Fees per byte: 0.000000436 ERG
Raw Transaction Data
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  "timestamp": 1694531002231,
  "index": 5,
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    {
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      "ergoTreeScript": "{\n  val coll1 = INPUTS(placeholder[Int](0)).tokens\n  val prop2 = SELF.R4[SigmaProp].get\n  if ((coll1.size > placeholder[Int](1)) && (coll1(placeholder[Int](2))._1 == SELF.R5[Coll[Byte]].get)) {\n    sigmaProp(OUTPUTS(placeholder[Int](3)).R9[(SigmaProp, Long)].get._1 == prop2)\n  } else {(\n    val coll3 = prop2.propBytes\n    val coll4 = SELF.tokens\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          allOf(\n            Coll[Boolean](\n              OUTPUTS.map({(box5: Box) => if (box5.propositionBytes == coll3) { box5.value } else { placeholder[Long](4) } }).fold(\n                placeholder[Long](5), {(tuple5: (Long, Long)) => tuple5._1 + tuple5._2 }\n              ) >= SELF.value, if (coll4.size > placeholder[Int](6)) {\n                OUTPUTS.exists({(box5: Box) => (box5.tokens == coll4) && (box5.propositionBytes == coll3) })\n              } else { placeholder[Boolean](7) }\n            )\n          ), OUTPUTS.map(\n            {(box5: Box) => if (blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](8)) { box5.value } else { placeholder[Long](9) } }\n          ).fold(placeholder[Long](10), {(tuple5: (Long, Long)) => tuple5._1 + tuple5._2 }) == placeholder[Long](11)\n        )\n      )\n    ) && prop2\n  )}\n}",
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        "R4": {
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          "sigmaType": "SSigmaProp",
          "renderedValue": "03b75318f5c4923eb1e625755c659c9aca87ca7efdd5f91283b8ed12efa62cec9f"
        },
        "R5": {
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          "sigmaType": "Coll[SByte]",
          "renderedValue": "68f502321c368ccc85143d1a9ee61991e09b9f344d3e539ed9723ae4a5588f6b"
        }
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      "mainChain": true
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    {
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      "value": 1600000,
      "index": 1,
      "globalIndex": 32558859,
      "creationHeight": 1089482,
      "settlementHeight": 1089484,
      "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": "ca3d4ac310d74dd324ee06ed61d11d70560c3fdd7e9a469eff09545b5da6e0f5",
      "mainChain": true
    },
    {
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      "transactionId": "c90a86cb66dd37db04dc8a3ed3c0c28edfd4486025599029f8a029095ab41e2d",
      "blockId": "6cc9501a4767f0267de6ba3fc1abd0bf36ee2f5275b4ea41215dc98d19988dc7",
      "value": 340043910000,
      "index": 2,
      "globalIndex": 32558860,
      "creationHeight": 1089482,
      "settlementHeight": 1089484,
      "ergoTree": "0008cd03b75318f5c4923eb1e625755c659c9aca87ca7efdd5f91283b8ed12efa62cec9f",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b75318,39a1e8,...)))}",
      "address": "9hrYUM2MoBu8pFeV6Xvzxg4jLnQooUCWtLq2KwTU9N2VSjmhuZZ",
      "assets": [
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