Ad

Transaction

9/26/2024 06:11:35 AM
ID: c252d7ab68...dc6a
Inputs (4)
#0
83edbd9237fa...3ca1
Spent
Address:
4ReSd69SwrHp...LBuW
Output transaction:
e1f1fc435412...602f
Settlement height:
1,359,676
Value:
0.005 ERG
#1
57298750adfd...377e
Spent
Address:
4ReSd69SwrHp...LBuW
Output transaction:
2b2a60c790f4...6993
Settlement height:
1,359,676
Value:
0.002 ERG
#2
efd513176588...4801
Spent
Address:
4ReSd69SwrHp...LBuW
Output transaction:
19b138d78cf6...7feb
Settlement height:
1,360,349
Value:
0.005 ERG
#3
3dec01876c3c...6f77
Spent
Address:
4ReSd69SwrHp...LBuW
Output transaction:
83b3e7e08879...72ee
Settlement height:
1,360,349
Value:
0.002 ERG
Outputs (3)
#0
74fb3f699fa6...0b87
Spent
Address:
4ReSd69SwrHp...LBuW
Spent in transaction:
b847979645ac...b5ab
Settlement height:
1,360,349
Value:
0.011 ERG
#1
f8c06120f86c...b547
Spent
Address:
9h7L7sUHZk43...i68b
Spent in transaction:
50d5838c12d6...9cb0
Settlement height:
1,360,349
Value:
0.002 ERG
#2
b60c64c8a3c1...be38
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
08508744eb28...e581
Settlement height:
1,360,349
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 1.01 KB
Received time: 9/26/2024 06:11:35 AM
Included in blocks: 1,360,349
Confirmations: 406,062
Total coins transferred: 0.014 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000966 ERG
Raw Transaction Data
{
  "id": "c252d7ab687fea005c06ea972bc123022276f89f214220bb43df97805b3bdc6a",
  "blockId": "94cac71eefdffee965dca926db3f491b1889afa6761d92957409b8a7be1d5f40",
  "inclusionHeight": 1360349,
  "timestamp": 1727331095499,
  "index": 14,
  "globalIndex": 7835443,
  "numConfirmations": 406062,
  "inputs": [
    {
      "boxId": "83edbd9237fa66ad44312ce37efbec776712e81a050fd8fa63d91e7e845b3ca1",
      "value": 5000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "08dd1200916fe67ad2bc7f46f1c435f4804dbeaa22846ce4d208f0b7f3ac89b9",
      "outputTransactionId": "e1f1fc4354126f9bc73a261f8a5e4c25637e2c0623dfc28daabaf5890d05602f",
      "outputIndex": 4,
      "outputGlobalIndex": 42898768,
      "outputCreatedAt": 1359673,
      "outputSettledAt": 1359676,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 100000000\n1: 3\n2: 0\n3: 1\n4: 500000\n5: 2\n6: 1000000\n7: false\n8: 0\n9: Coll(14,66,2,25,111,96,48,-85,25,-122,-29,-112,18,-36,-107,-22,16,-16,52,-79,61,-112,-89,12,11,31,-122,-39,-122,16,111,-10)\n10: 3\n11: 0\n12: 0\n13: Coll(9,127,-46,-127,-55,-107,-120,38,-99,103,46,27,104,107,-10,-68,-36,-32,65,2,-31,-125,-78,36,47,102,52,-39,56,105,-4,10)\n14: 2\n15: 0\n16: 1\n17: false\n18: 4\n19: 3000000\n20: 1000000\n21: 1000000\n22: 5\n23: 3000000\n24: 6\n25: 1000000\n26: false\n27: 0\n28: 1\n29: 0\n30: 0\n31: 0\n32: Coll(1,45,100,-106,-122,-34,-18,-10,6,-46,83,20,107,-20,12,-10,35,-7,-72,69,116,-5,-6,15,-48,-47,9,19,-109,-110,54,19)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 2\n41: 1\n42: false\n43: 0\n44: 0\n45: Coll(67,111,-113,72,-93,101,12,123,-25,40,-30,-93,49,-23,-90,-24,24,-61,31,39,22,62,-26,-27,37,127,-49,-46,-40,66,61,-61)\n46: false",
      "ergoTreeScript": "{\n  val l1 = SELF.value\n  val bool2 = if (allOf(Coll[Boolean](l1 <= placeholder[Int](0).toLong, OUTPUTS.size == placeholder[Int](1)))) {(\n    val box2 = OUTPUTS(placeholder[Int](2))\n    val coll3 = SELF.propositionBytes\n    allOf(\n      Coll[Boolean](\n        allOf(Coll[Boolean](box2.value > l1, box2.propositionBytes == coll3)), OUTPUTS(placeholder[Int](3)).value == placeholder[Long](4) * INPUTS.filter(\n          {(box4: Box) => box4.propositionBytes == coll3 }\n        ).size.toLong, OUTPUTS(placeholder[Int](5)).value == placeholder[Long](6)\n      )\n    )\n  )} else { placeholder[Boolean](7) }\n  val i3 = INPUTS.size\n  val tuple4 = (Coll[Byte](), placeholder[Long](8))\n  val coll5 = placeholder[Coll[Byte]](9)\n  val coll6 = SELF.propositionBytes\n  val bool7 = if (if (i3 >= placeholder[Int](10)) {\n    allOf(\n      Coll[Boolean](\n        INPUTS(placeholder[Int](11)).tokens.getOrElse(placeholder[Int](12), tuple4)._1 == placeholder[Coll[Byte]](13), INPUTS(\n          placeholder[Int](14)\n        ).tokens.getOrElse(placeholder[Int](15), tuple4)._1 == coll5, INPUTS(i3 - placeholder[Int](16)).id == SELF.id\n      )\n    )\n  } else { placeholder[Boolean](17) }) {(\n    val box7 = OUTPUTS(placeholder[Int](18))\n    allOf(\n      Coll[Boolean](\n        allOf(Coll[Boolean](box7.value >= l1 - placeholder[Long](19) - placeholder[Long](20) - placeholder[Long](21), box7.propositionBytes == coll6)), OUTPUTS(\n          placeholder[Int](22)\n        ).value == placeholder[Long](23), OUTPUTS(placeholder[Int](24)).value == placeholder[Long](25)\n      )\n    )\n  )} else { placeholder[Boolean](26) }\n  val box8 = INPUTS(placeholder[Int](27))\n  val i9 = i3 - placeholder[Int](28)\n  val bool10 = if (allOf(Coll[Boolean](box8.tokens.getOrElse(placeholder[Int](29), tuple4)._1 == coll5, INPUTS(i9).id == SELF.id))) {(\n    val i10 = INPUTS.filter({(box10: Box) =>\n        val coll12 = box10.tokens\n        if (coll12.size > placeholder[Int](30)) { allOf(Coll[Boolean](coll12(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box10.R4[Coll[Long]].get(placeholder[Int](33)) == box8.R4[Coll[Long]].get(placeholder[Int](34)))) } else { placeholder[Boolean](35) }\n      }).size\n    val box11 = OUTPUTS(i9)\n    val l12 = i10.toLong\n    val l13 = placeholder[Long](36) + placeholder[Long](37) * l12\n    val l14 = placeholder[Long](38) + placeholder[Long](39) * l12\n    allOf(\n      Coll[Boolean](\n        i3 == i10 + placeholder[Int](40), allOf(Coll[Boolean](box11.value >= l1 - l13 - l14, box11.propositionBytes == coll6)), OUTPUTS(\n          i3\n        ).value == l13, OUTPUTS(i3 + placeholder[Int](41)).value == l14\n      )\n    )\n  )} else { placeholder[Boolean](42) }\n  sigmaProp(\n    ((bool2 || bool7) || bool10) || if (!((bool2 || bool7) || bool10)) {\n      OUTPUTS(placeholder[Int](43)).tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)\n    } else { placeholder[Boolean](46) }\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "57298750adfdb570ca01a7350b1f4cb4fc7c9c4e0b1aa57591d8edc7d550377e",
      "value": 2000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "08dd1200916fe67ad2bc7f46f1c435f4804dbeaa22846ce4d208f0b7f3ac89b9",
      "outputTransactionId": "2b2a60c790f44045bb0fe951fb79e52401af3c3f7a5e80ccc81f0dbc25ae6993",
      "outputIndex": 51,
      "outputGlobalIndex": 42898876,
      "outputCreatedAt": 1359674,
      "outputSettledAt": 1359676,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 100000000\n1: 3\n2: 0\n3: 1\n4: 500000\n5: 2\n6: 1000000\n7: false\n8: 0\n9: Coll(14,66,2,25,111,96,48,-85,25,-122,-29,-112,18,-36,-107,-22,16,-16,52,-79,61,-112,-89,12,11,31,-122,-39,-122,16,111,-10)\n10: 3\n11: 0\n12: 0\n13: Coll(9,127,-46,-127,-55,-107,-120,38,-99,103,46,27,104,107,-10,-68,-36,-32,65,2,-31,-125,-78,36,47,102,52,-39,56,105,-4,10)\n14: 2\n15: 0\n16: 1\n17: false\n18: 4\n19: 3000000\n20: 1000000\n21: 1000000\n22: 5\n23: 3000000\n24: 6\n25: 1000000\n26: false\n27: 0\n28: 1\n29: 0\n30: 0\n31: 0\n32: Coll(1,45,100,-106,-122,-34,-18,-10,6,-46,83,20,107,-20,12,-10,35,-7,-72,69,116,-5,-6,15,-48,-47,9,19,-109,-110,54,19)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 2\n41: 1\n42: false\n43: 0\n44: 0\n45: Coll(67,111,-113,72,-93,101,12,123,-25,40,-30,-93,49,-23,-90,-24,24,-61,31,39,22,62,-26,-27,37,127,-49,-46,-40,66,61,-61)\n46: false",
      "ergoTreeScript": "{\n  val l1 = SELF.value\n  val bool2 = if (allOf(Coll[Boolean](l1 <= placeholder[Int](0).toLong, OUTPUTS.size == placeholder[Int](1)))) {(\n    val box2 = OUTPUTS(placeholder[Int](2))\n    val coll3 = SELF.propositionBytes\n    allOf(\n      Coll[Boolean](\n        allOf(Coll[Boolean](box2.value > l1, box2.propositionBytes == coll3)), OUTPUTS(placeholder[Int](3)).value == placeholder[Long](4) * INPUTS.filter(\n          {(box4: Box) => box4.propositionBytes == coll3 }\n        ).size.toLong, OUTPUTS(placeholder[Int](5)).value == placeholder[Long](6)\n      )\n    )\n  )} else { placeholder[Boolean](7) }\n  val i3 = INPUTS.size\n  val tuple4 = (Coll[Byte](), placeholder[Long](8))\n  val coll5 = placeholder[Coll[Byte]](9)\n  val coll6 = SELF.propositionBytes\n  val bool7 = if (if (i3 >= placeholder[Int](10)) {\n    allOf(\n      Coll[Boolean](\n        INPUTS(placeholder[Int](11)).tokens.getOrElse(placeholder[Int](12), tuple4)._1 == placeholder[Coll[Byte]](13), INPUTS(\n          placeholder[Int](14)\n        ).tokens.getOrElse(placeholder[Int](15), tuple4)._1 == coll5, INPUTS(i3 - placeholder[Int](16)).id == SELF.id\n      )\n    )\n  } else { placeholder[Boolean](17) }) {(\n    val box7 = OUTPUTS(placeholder[Int](18))\n    allOf(\n      Coll[Boolean](\n        allOf(Coll[Boolean](box7.value >= l1 - placeholder[Long](19) - placeholder[Long](20) - placeholder[Long](21), box7.propositionBytes == coll6)), OUTPUTS(\n          placeholder[Int](22)\n        ).value == placeholder[Long](23), OUTPUTS(placeholder[Int](24)).value == placeholder[Long](25)\n      )\n    )\n  )} else { placeholder[Boolean](26) }\n  val box8 = INPUTS(placeholder[Int](27))\n  val i9 = i3 - placeholder[Int](28)\n  val bool10 = if (allOf(Coll[Boolean](box8.tokens.getOrElse(placeholder[Int](29), tuple4)._1 == coll5, INPUTS(i9).id == SELF.id))) {(\n    val i10 = INPUTS.filter({(box10: Box) =>\n        val coll12 = box10.tokens\n        if (coll12.size > placeholder[Int](30)) { allOf(Coll[Boolean](coll12(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box10.R4[Coll[Long]].get(placeholder[Int](33)) == box8.R4[Coll[Long]].get(placeholder[Int](34)))) } else { placeholder[Boolean](35) }\n      }).size\n    val box11 = OUTPUTS(i9)\n    val l12 = i10.toLong\n    val l13 = placeholder[Long](36) + placeholder[Long](37) * l12\n    val l14 = placeholder[Long](38) + placeholder[Long](39) * l12\n    allOf(\n      Coll[Boolean](\n        i3 == i10 + placeholder[Int](40), allOf(Coll[Boolean](box11.value >= l1 - l13 - l14, box11.propositionBytes == coll6)), OUTPUTS(\n          i3\n        ).value == l13, OUTPUTS(i3 + placeholder[Int](41)).value == l14\n      )\n    )\n  )} else { placeholder[Boolean](42) }\n  sigmaProp(\n    ((bool2 || bool7) || bool10) || if (!((bool2 || bool7) || bool10)) {\n      OUTPUTS(placeholder[Int](43)).tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)\n    } else { placeholder[Boolean](46) }\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "efd513176588499590356a744da277c529d4be11c0628fd5f28fa760dc834801",
      "value": 5000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "94cac71eefdffee965dca926db3f491b1889afa6761d92957409b8a7be1d5f40",
      "outputTransactionId": "19b138d78cf694a835a9fd3a17aef0a8876cb7f1812b2dac54ededa7ac8c7feb",
      "outputIndex": 4,
      "outputGlobalIndex": 42914348,
      "outputCreatedAt": 1360347,
      "outputSettledAt": 1360349,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 100000000\n1: 3\n2: 0\n3: 1\n4: 500000\n5: 2\n6: 1000000\n7: false\n8: 0\n9: Coll(14,66,2,25,111,96,48,-85,25,-122,-29,-112,18,-36,-107,-22,16,-16,52,-79,61,-112,-89,12,11,31,-122,-39,-122,16,111,-10)\n10: 3\n11: 0\n12: 0\n13: Coll(9,127,-46,-127,-55,-107,-120,38,-99,103,46,27,104,107,-10,-68,-36,-32,65,2,-31,-125,-78,36,47,102,52,-39,56,105,-4,10)\n14: 2\n15: 0\n16: 1\n17: false\n18: 4\n19: 3000000\n20: 1000000\n21: 1000000\n22: 5\n23: 3000000\n24: 6\n25: 1000000\n26: false\n27: 0\n28: 1\n29: 0\n30: 0\n31: 0\n32: Coll(1,45,100,-106,-122,-34,-18,-10,6,-46,83,20,107,-20,12,-10,35,-7,-72,69,116,-5,-6,15,-48,-47,9,19,-109,-110,54,19)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 2\n41: 1\n42: false\n43: 0\n44: 0\n45: Coll(67,111,-113,72,-93,101,12,123,-25,40,-30,-93,49,-23,-90,-24,24,-61,31,39,22,62,-26,-27,37,127,-49,-46,-40,66,61,-61)\n46: false",
      "ergoTreeScript": "{\n  val l1 = SELF.value\n  val bool2 = if (allOf(Coll[Boolean](l1 <= placeholder[Int](0).toLong, OUTPUTS.size == placeholder[Int](1)))) {(\n    val box2 = OUTPUTS(placeholder[Int](2))\n    val coll3 = SELF.propositionBytes\n    allOf(\n      Coll[Boolean](\n        allOf(Coll[Boolean](box2.value > l1, box2.propositionBytes == coll3)), OUTPUTS(placeholder[Int](3)).value == placeholder[Long](4) * INPUTS.filter(\n          {(box4: Box) => box4.propositionBytes == coll3 }\n        ).size.toLong, OUTPUTS(placeholder[Int](5)).value == placeholder[Long](6)\n      )\n    )\n  )} else { placeholder[Boolean](7) }\n  val i3 = INPUTS.size\n  val tuple4 = (Coll[Byte](), placeholder[Long](8))\n  val coll5 = placeholder[Coll[Byte]](9)\n  val coll6 = SELF.propositionBytes\n  val bool7 = if (if (i3 >= placeholder[Int](10)) {\n    allOf(\n      Coll[Boolean](\n        INPUTS(placeholder[Int](11)).tokens.getOrElse(placeholder[Int](12), tuple4)._1 == placeholder[Coll[Byte]](13), INPUTS(\n          placeholder[Int](14)\n        ).tokens.getOrElse(placeholder[Int](15), tuple4)._1 == coll5, INPUTS(i3 - placeholder[Int](16)).id == SELF.id\n      )\n    )\n  } else { placeholder[Boolean](17) }) {(\n    val box7 = OUTPUTS(placeholder[Int](18))\n    allOf(\n      Coll[Boolean](\n        allOf(Coll[Boolean](box7.value >= l1 - placeholder[Long](19) - placeholder[Long](20) - placeholder[Long](21), box7.propositionBytes == coll6)), OUTPUTS(\n          placeholder[Int](22)\n        ).value == placeholder[Long](23), OUTPUTS(placeholder[Int](24)).value == placeholder[Long](25)\n      )\n    )\n  )} else { placeholder[Boolean](26) }\n  val box8 = INPUTS(placeholder[Int](27))\n  val i9 = i3 - placeholder[Int](28)\n  val bool10 = if (allOf(Coll[Boolean](box8.tokens.getOrElse(placeholder[Int](29), tuple4)._1 == coll5, INPUTS(i9).id == SELF.id))) {(\n    val i10 = INPUTS.filter({(box10: Box) =>\n        val coll12 = box10.tokens\n        if (coll12.size > placeholder[Int](30)) { allOf(Coll[Boolean](coll12(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box10.R4[Coll[Long]].get(placeholder[Int](33)) == box8.R4[Coll[Long]].get(placeholder[Int](34)))) } else { placeholder[Boolean](35) }\n      }).size\n    val box11 = OUTPUTS(i9)\n    val l12 = i10.toLong\n    val l13 = placeholder[Long](36) + placeholder[Long](37) * l12\n    val l14 = placeholder[Long](38) + placeholder[Long](39) * l12\n    allOf(\n      Coll[Boolean](\n        i3 == i10 + placeholder[Int](40), allOf(Coll[Boolean](box11.value >= l1 - l13 - l14, box11.propositionBytes == coll6)), OUTPUTS(\n          i3\n        ).value == l13, OUTPUTS(i3 + placeholder[Int](41)).value == l14\n      )\n    )\n  )} else { placeholder[Boolean](42) }\n  sigmaProp(\n    ((bool2 || bool7) || bool10) || if (!((bool2 || bool7) || bool10)) {\n      OUTPUTS(placeholder[Int](43)).tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)\n    } else { placeholder[Boolean](46) }\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "3dec01876c3c781215c06a9e64d850ce44934518f9f2ccfd9f64f85491c06f77",
      "value": 2000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "94cac71eefdffee965dca926db3f491b1889afa6761d92957409b8a7be1d5f40",
      "outputTransactionId": "83b3e7e088795b2282485fc48e178d1548850caf4735666c186108161a8f72ee",
      "outputIndex": 51,
      "outputGlobalIndex": 42914626,
      "outputCreatedAt": 1360347,
      "outputSettledAt": 1360349,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 100000000\n1: 3\n2: 0\n3: 1\n4: 500000\n5: 2\n6: 1000000\n7: false\n8: 0\n9: Coll(14,66,2,25,111,96,48,-85,25,-122,-29,-112,18,-36,-107,-22,16,-16,52,-79,61,-112,-89,12,11,31,-122,-39,-122,16,111,-10)\n10: 3\n11: 0\n12: 0\n13: Coll(9,127,-46,-127,-55,-107,-120,38,-99,103,46,27,104,107,-10,-68,-36,-32,65,2,-31,-125,-78,36,47,102,52,-39,56,105,-4,10)\n14: 2\n15: 0\n16: 1\n17: false\n18: 4\n19: 3000000\n20: 1000000\n21: 1000000\n22: 5\n23: 3000000\n24: 6\n25: 1000000\n26: false\n27: 0\n28: 1\n29: 0\n30: 0\n31: 0\n32: Coll(1,45,100,-106,-122,-34,-18,-10,6,-46,83,20,107,-20,12,-10,35,-7,-72,69,116,-5,-6,15,-48,-47,9,19,-109,-110,54,19)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 2\n41: 1\n42: false\n43: 0\n44: 0\n45: Coll(67,111,-113,72,-93,101,12,123,-25,40,-30,-93,49,-23,-90,-24,24,-61,31,39,22,62,-26,-27,37,127,-49,-46,-40,66,61,-61)\n46: false",
      "ergoTreeScript": "{\n  val l1 = SELF.value\n  val bool2 = if (allOf(Coll[Boolean](l1 <= placeholder[Int](0).toLong, OUTPUTS.size == placeholder[Int](1)))) {(\n    val box2 = OUTPUTS(placeholder[Int](2))\n    val coll3 = SELF.propositionBytes\n    allOf(\n      Coll[Boolean](\n        allOf(Coll[Boolean](box2.value > l1, box2.propositionBytes == coll3)), OUTPUTS(placeholder[Int](3)).value == placeholder[Long](4) * INPUTS.filter(\n          {(box4: Box) => box4.propositionBytes == coll3 }\n        ).size.toLong, OUTPUTS(placeholder[Int](5)).value == placeholder[Long](6)\n      )\n    )\n  )} else { placeholder[Boolean](7) }\n  val i3 = INPUTS.size\n  val tuple4 = (Coll[Byte](), placeholder[Long](8))\n  val coll5 = placeholder[Coll[Byte]](9)\n  val coll6 = SELF.propositionBytes\n  val bool7 = if (if (i3 >= placeholder[Int](10)) {\n    allOf(\n      Coll[Boolean](\n        INPUTS(placeholder[Int](11)).tokens.getOrElse(placeholder[Int](12), tuple4)._1 == placeholder[Coll[Byte]](13), INPUTS(\n          placeholder[Int](14)\n        ).tokens.getOrElse(placeholder[Int](15), tuple4)._1 == coll5, INPUTS(i3 - placeholder[Int](16)).id == SELF.id\n      )\n    )\n  } else { placeholder[Boolean](17) }) {(\n    val box7 = OUTPUTS(placeholder[Int](18))\n    allOf(\n      Coll[Boolean](\n        allOf(Coll[Boolean](box7.value >= l1 - placeholder[Long](19) - placeholder[Long](20) - placeholder[Long](21), box7.propositionBytes == coll6)), OUTPUTS(\n          placeholder[Int](22)\n        ).value == placeholder[Long](23), OUTPUTS(placeholder[Int](24)).value == placeholder[Long](25)\n      )\n    )\n  )} else { placeholder[Boolean](26) }\n  val box8 = INPUTS(placeholder[Int](27))\n  val i9 = i3 - placeholder[Int](28)\n  val bool10 = if (allOf(Coll[Boolean](box8.tokens.getOrElse(placeholder[Int](29), tuple4)._1 == coll5, INPUTS(i9).id == SELF.id))) {(\n    val i10 = INPUTS.filter({(box10: Box) =>\n        val coll12 = box10.tokens\n        if (coll12.size > placeholder[Int](30)) { allOf(Coll[Boolean](coll12(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box10.R4[Coll[Long]].get(placeholder[Int](33)) == box8.R4[Coll[Long]].get(placeholder[Int](34)))) } else { placeholder[Boolean](35) }\n      }).size\n    val box11 = OUTPUTS(i9)\n    val l12 = i10.toLong\n    val l13 = placeholder[Long](36) + placeholder[Long](37) * l12\n    val l14 = placeholder[Long](38) + placeholder[Long](39) * l12\n    allOf(\n      Coll[Boolean](\n        i3 == i10 + placeholder[Int](40), allOf(Coll[Boolean](box11.value >= l1 - l13 - l14, box11.propositionBytes == coll6)), OUTPUTS(\n          i3\n        ).value == l13, OUTPUTS(i3 + placeholder[Int](41)).value == l14\n      )\n    )\n  )} else { placeholder[Boolean](42) }\n  sigmaProp(\n    ((bool2 || bool7) || bool10) || if (!((bool2 || bool7) || bool10)) {\n      OUTPUTS(placeholder[Int](43)).tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)\n    } else { placeholder[Boolean](46) }\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "74fb3f699fa6199ceeb1bef98b30111ca72b7c55b6d655573b69f439f35c0b87",
      "transactionId": "c252d7ab687fea005c06ea972bc123022276f89f214220bb43df97805b3bdc6a",
      "blockId": "94cac71eefdffee965dca926db3f491b1889afa6761d92957409b8a7be1d5f40",
      "value": 11000000,
      "index": 0,
      "globalIndex": 42914686,
      "creationHeight": 1360347,
      "settlementHeight": 1360349,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 100000000\n1: 3\n2: 0\n3: 1\n4: 500000\n5: 2\n6: 1000000\n7: false\n8: 0\n9: Coll(14,66,2,25,111,96,48,-85,25,-122,-29,-112,18,-36,-107,-22,16,-16,52,-79,61,-112,-89,12,11,31,-122,-39,-122,16,111,-10)\n10: 3\n11: 0\n12: 0\n13: Coll(9,127,-46,-127,-55,-107,-120,38,-99,103,46,27,104,107,-10,-68,-36,-32,65,2,-31,-125,-78,36,47,102,52,-39,56,105,-4,10)\n14: 2\n15: 0\n16: 1\n17: false\n18: 4\n19: 3000000\n20: 1000000\n21: 1000000\n22: 5\n23: 3000000\n24: 6\n25: 1000000\n26: false\n27: 0\n28: 1\n29: 0\n30: 0\n31: 0\n32: Coll(1,45,100,-106,-122,-34,-18,-10,6,-46,83,20,107,-20,12,-10,35,-7,-72,69,116,-5,-6,15,-48,-47,9,19,-109,-110,54,19)\n33: 0\n34: 1\n35: false\n36: 500000\n37: 150000\n38: 1000000\n39: 100000\n40: 2\n41: 1\n42: false\n43: 0\n44: 0\n45: Coll(67,111,-113,72,-93,101,12,123,-25,40,-30,-93,49,-23,-90,-24,24,-61,31,39,22,62,-26,-27,37,127,-49,-46,-40,66,61,-61)\n46: false",
      "ergoTreeScript": "{\n  val l1 = SELF.value\n  val bool2 = if (allOf(Coll[Boolean](l1 <= placeholder[Int](0).toLong, OUTPUTS.size == placeholder[Int](1)))) {(\n    val box2 = OUTPUTS(placeholder[Int](2))\n    val coll3 = SELF.propositionBytes\n    allOf(\n      Coll[Boolean](\n        allOf(Coll[Boolean](box2.value > l1, box2.propositionBytes == coll3)), OUTPUTS(placeholder[Int](3)).value == placeholder[Long](4) * INPUTS.filter(\n          {(box4: Box) => box4.propositionBytes == coll3 }\n        ).size.toLong, OUTPUTS(placeholder[Int](5)).value == placeholder[Long](6)\n      )\n    )\n  )} else { placeholder[Boolean](7) }\n  val i3 = INPUTS.size\n  val tuple4 = (Coll[Byte](), placeholder[Long](8))\n  val coll5 = placeholder[Coll[Byte]](9)\n  val coll6 = SELF.propositionBytes\n  val bool7 = if (if (i3 >= placeholder[Int](10)) {\n    allOf(\n      Coll[Boolean](\n        INPUTS(placeholder[Int](11)).tokens.getOrElse(placeholder[Int](12), tuple4)._1 == placeholder[Coll[Byte]](13), INPUTS(\n          placeholder[Int](14)\n        ).tokens.getOrElse(placeholder[Int](15), tuple4)._1 == coll5, INPUTS(i3 - placeholder[Int](16)).id == SELF.id\n      )\n    )\n  } else { placeholder[Boolean](17) }) {(\n    val box7 = OUTPUTS(placeholder[Int](18))\n    allOf(\n      Coll[Boolean](\n        allOf(Coll[Boolean](box7.value >= l1 - placeholder[Long](19) - placeholder[Long](20) - placeholder[Long](21), box7.propositionBytes == coll6)), OUTPUTS(\n          placeholder[Int](22)\n        ).value == placeholder[Long](23), OUTPUTS(placeholder[Int](24)).value == placeholder[Long](25)\n      )\n    )\n  )} else { placeholder[Boolean](26) }\n  val box8 = INPUTS(placeholder[Int](27))\n  val i9 = i3 - placeholder[Int](28)\n  val bool10 = if (allOf(Coll[Boolean](box8.tokens.getOrElse(placeholder[Int](29), tuple4)._1 == coll5, INPUTS(i9).id == SELF.id))) {(\n    val i10 = INPUTS.filter({(box10: Box) =>\n        val coll12 = box10.tokens\n        if (coll12.size > placeholder[Int](30)) { allOf(Coll[Boolean](coll12(placeholder[Int](31))._1 == placeholder[Coll[Byte]](32), box10.R4[Coll[Long]].get(placeholder[Int](33)) == box8.R4[Coll[Long]].get(placeholder[Int](34)))) } else { placeholder[Boolean](35) }\n      }).size\n    val box11 = OUTPUTS(i9)\n    val l12 = i10.toLong\n    val l13 = placeholder[Long](36) + placeholder[Long](37) * l12\n    val l14 = placeholder[Long](38) + placeholder[Long](39) * l12\n    allOf(\n      Coll[Boolean](\n        i3 == i10 + placeholder[Int](40), allOf(Coll[Boolean](box11.value >= l1 - l13 - l14, box11.propositionBytes == coll6)), OUTPUTS(\n          i3\n        ).value == l13, OUTPUTS(i3 + placeholder[Int](41)).value == l14\n      )\n    )\n  )} else { placeholder[Boolean](42) }\n  sigmaProp(\n    ((bool2 || bool7) || bool10) || if (!((bool2 || bool7) || bool10)) {\n      OUTPUTS(placeholder[Int](43)).tokens(placeholder[Int](44))._1 == placeholder[Coll[Byte]](45)\n    } else { placeholder[Boolean](46) }\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "b847979645ac6a43a37de49492be76a038d752e1f6d58556eeebe1278a82b5ab",
      "mainChain": true
    },
    {
      "boxId": "f8c06120f86c508aed934d8245726e0fd7af664f9b070a5f7b72f47c35edb547",
      "transactionId": "c252d7ab687fea005c06ea972bc123022276f89f214220bb43df97805b3bdc6a",
      "blockId": "94cac71eefdffee965dca926db3f491b1889afa6761d92957409b8a7be1d5f40",
      "value": 2000000,
      "index": 1,
      "globalIndex": 42914687,
      "creationHeight": 1360347,
      "settlementHeight": 1360349,
      "ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
      "address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "50d5838c12d6c962628be30ac34f33f44379260022134d5dae1585c9e2bf9cb0",
      "mainChain": true
    },
    {
      "boxId": "b60c64c8a3c1437318f3482c22c52169545444dd70602ba11d3210261a31be38",
      "transactionId": "c252d7ab687fea005c06ea972bc123022276f89f214220bb43df97805b3bdc6a",
      "blockId": "94cac71eefdffee965dca926db3f491b1889afa6761d92957409b8a7be1d5f40",
      "value": 1000000,
      "index": 2,
      "globalIndex": 42914688,
      "creationHeight": 1360347,
      "settlementHeight": 1360349,
      "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": "08508744eb28a9b24b943ff73fbd4d2a5daa4f3f1ff70f025485d38ba5d2e581",
      "mainChain": true
    }
  ],
  "size": 1035,
  "isUnconfirmed": false
}