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Inputs (16)
Output transaction:
Settlement height:
Value:
2.3 ERG
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.546757304 ERG
Output transaction:
Settlement height:
Value:
0.51516114 ERG
Output transaction:
Settlement height:
Value:
0.501112472 ERG
Output transaction:
Settlement height:
Value:
0.518047261 ERG
Output transaction:
Settlement height:
Value:
0.562599456 ERG
Output transaction:
Settlement height:
Value:
0.530007274 ERG
Output transaction:
Settlement height:
Value:
0.508321041 ERG
Output transaction:
Settlement height:
Value:
27.67 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.533567053 ERG
Output transaction:
Settlement height:
Value:
0.564473553 ERG
Output transaction:
Settlement height:
Value:
0.592854897 ERG
Output transaction:
Settlement height:
Value:
41.85 ERG
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Outputs (6)
Spent in transaction:
Settlement height:
Value:
39.99 ERG
Spent in transaction:
Settlement height:
Value:
0.86 ERG
Spent in transaction:
Settlement height:
Value:
2.15 ERG
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
34.19 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 2.52 KB
Received time: 5/18/2022 03:03:44 AM
Included in blocks: 752,156
Confirmations: 1,010,401
Total coins transferred: 77.2 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000775 ERG
Raw Transaction Data
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a95a83,5ff018,...)))}",
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    {
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      "address": "9foeRbPbVghaaF5wWGFkMvt4hiM24NKSfMxJgugtnYYmpqRMzYe",
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    {
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      "ergoTree": "0008cd02a95a83f844e9e1d970c10e60f93ea5e9c70f73b185eddbf623b912e147da0750",
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a95a83,5ff018,...)))}",
      "address": "9foeRbPbVghaaF5wWGFkMvt4hiM24NKSfMxJgugtnYYmpqRMzYe",
      "assets": [],
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          "serializedValue": "0e20655212223e81156338c50abe2223d3e6810b1fb8536ec6981f26c6197f0f2951",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "655212223e81156338c50abe2223d3e6810b1fb8536ec6981f26c6197f0f2951"
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    {
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      "outputBlockId": "15b7614c337373065b0f15d01f6dd154995ab11e6d6b028ec99330c5cd60c1ed",
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      "ergoTree": "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",
      "ergoTreeConstants": "0: 3\n1: 0\n2: Coll(-114,125,-17,38,-62,-51,98,-85,26,-2,87,-107,114,57,-23,66,-9,-64,-116,105,49,38,-90,99,88,-93,-8,80,40,-9,-73,-75)\n3: 50\n4: 0\n5: 1000\n6: 1\n7: Coll(0,8,-51,3,90,-3,5,1,-10,-11,-63,-55,-5,-98,-43,-81,-56,79,-68,2,-126,92,12,124,63,101,-105,15,-93,-29,-39,-56,-58,-85,-59,70)\n8: 0\n9: 0\n10: 900\n11: 2\n12: true\n13: 0\n14: 0\n15: 1\n16: Coll(0,8,-51,3,90,-3,5,1,-10,-11,-63,-55,-5,-98,-43,-81,-56,79,-68,2,-126,92,12,124,63,101,-105,15,-93,-29,-39,-56,-58,-85,-59,70)\n17: 0",
      "ergoTreeScript": "{if ((OUTPUTS.size > placeholder[Int](0)) && (blake2b256(INPUTS(placeholder[Int](1)).propositionBytes) != placeholder[Coll[Byte]](2))) {(\n  val box1 = SELF.R6[Box].get\n  val opt2 = box1.R4[Int]\n  val l3 = SELF.R4[Long].get\n  val l4 = l3 / placeholder[Long](3)\n  sigmaProp(if (opt2.isDefined) {(\n      val box5 = OUTPUTS(placeholder[Int](4))\n      val i6 = opt2.get\n      val l7 = l3 * i6.toLong / placeholder[Long](5)\n      val box8 = OUTPUTS(placeholder[Int](6))\n      allOf(Coll[Boolean](box5.value >= l3 - l4 - l7, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box8.value >= l4, box8.propositionBytes == placeholder[Coll[Byte]](7), if (((l7 != placeholder[Long](8)) && (i6 > placeholder[Int](9))) && (i6 < placeholder[Int](10))) {(\n            val box9 = OUTPUTS(placeholder[Int](11))\n            (box9.value >= l7) && (box9.propositionBytes == box1.propositionBytes)\n          )} else { placeholder[Boolean](12) }, box1.id == SELF.tokens(placeholder[Int](13))._1))\n    )} else {(\n      val box5 = OUTPUTS(placeholder[Int](14))\n      val box6 = OUTPUTS(placeholder[Int](15))\n      allOf(Coll[Boolean](box5.value >= l3 - l4, box5.propositionBytes == SELF.R5[Coll[Byte]].get, box5.R4[Coll[Byte]].get == SELF.id, box6.value >= l4, box6.propositionBytes == placeholder[Coll[Byte]](16), box1.id == SELF.tokens(placeholder[Int](17))._1))\n    )})\n)} else { proveDlog(SELF.R7[GroupElement].get) }}",
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      "assets": [
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      ],
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          "sigmaType": "SLong",
          "renderedValue": "43000000000"
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  ],
  "dataInputs": [],
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5afd05,88c665,...)))}",
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