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Inputs (4)
Output transaction:
Settlement height:
Value:
17.17 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.01 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0004 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
250.86 ERG
Outputs (3)
Spent in transaction:
Settlement height:
Value:
253.57 ERG
Spent in transaction:
Settlement height:
Value:
14.47 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 2.63 KB
Received time: 1/21/2023 10:38:14 AM
Included in blocks: 923,000
Confirmations: 843,959
Total coins transferred: 268.04 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000743 ERG
Raw Transaction Data
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  "inclusionHeight": 923000,
  "timestamp": 1674297494757,
  "index": 2,
  "globalIndex": 4648932,
  "numConfirmations": 843959,
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      "ergoTree": "19fe031808cd035c9bf95a6bfc3650bf1a55fd0064b877feda89207724cbbb8ede7f20cd464185040005a498a398e10e040404060402040004000e20d7868533f26db1b1728c1f85c2326a3c0327b57ddab14e41a2b77a5d4c20f4b20e20d71693c49a84fbbecd4908c94813b46514b18b67a99952dc1e6e4791556de41305cc92da0305a0e4bec5d0c9f03605808088fccdbcc323040404c80f06010104d00f05a498a398e10e04c80f0e691005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a5730405000500058092f4010100d803d6017300d602b2a4730100d6037302eb027201d195ed93b1a4730393b1db630872027304d804d604db63087202d605b2a5730500d606b2db63087205730600d6077e8c72060206edededededed938cb2720473070001730893c27205d07201938c72060173099272077e730a06927ec172050699997ec1a7069d9c72077e730b067e730c067e720306909c9c7e8cb27204730d0002067e7203067e730e069c9a7207730f9a9c7ec17202067e7310067e9c73117e7312050690b0ada5d90108639593c272087313c1720873147315d90108599a8c7208018c72080273167317",
      "ergoTreeConstants": "0: SigmaProp(ProveDlog(ECPoint(5c9bf9,131d32,...)))\n1: 0\n2: 253562742290\n3: 2\n4: 3\n5: 1\n6: 0\n7: 0\n8: Coll(-41,-122,-123,51,-14,109,-79,-79,114,-116,31,-123,-62,50,106,60,3,39,-75,125,-38,-79,78,65,-94,-73,122,93,76,32,-12,-78)\n9: Coll(-41,22,-109,-60,-102,-124,-5,-66,-51,73,8,-55,72,19,-76,101,20,-79,-117,103,-87,-103,82,-36,30,110,71,-111,85,109,-28,19)\n10: 3884198\n11: 15447204287731984\n12: 10000000000000000\n13: 2\n14: 996\n15: CBigInt(1)\n16: 1000\n17: 253562742290\n18: 996\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": "c92cff252b94ddc3dc85e69a0df05cb6b2d32d7ab0033f43f555fa72ee0eedb9",
      "mainChain": true
    },
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      "value": 14469410659,
      "index": 1,
      "globalIndex": 25826604,
      "creationHeight": 922998,
      "settlementHeight": 923000,
      "ergoTree": "0008cd035c9bf95a6bfc3650bf1a55fd0064b877feda89207724cbbb8ede7f20cd464185",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5c9bf9,131d32,...)))}",
      "address": "9hAbGg1wkxaz9qdHy4yuo3koqHJGMR5Toe4FXki6JkTLaVxtzhZ",
      "assets": [
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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": "fbbed3d5ac1bc1d1090d9c8a55fdc5c420a2e14e12ba65a9bab6d884007c09cb",
      "mainChain": true
    }
  ],
  "size": 2691,
  "isUnconfirmed": false
}