Ad
Inputs (6)
Output transaction:
Settlement height:
Value:
0.005 ERG
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.007 ERG
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.016 ERG
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 1.08 KB
Received time: 4/21/2024 06:20:51 AM
Included in blocks: 1,247,649
Confirmations: 509,406
Total coins transferred: 0.02 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000906 ERG
Raw Transaction Data
{
  "id": "e4e89f830da61a97864d5648a9d8aed5622bbf6f7a2e491dc1d9cf7a24204af0",
  "blockId": "eaa2e802ac54aa0c1175228d184d482bc398937f6f310414346b685e3f57c77c",
  "inclusionHeight": 1247649,
  "timestamp": 1713680451995,
  "index": 11,
  "globalIndex": 7057342,
  "numConfirmations": 509406,
  "inputs": [
    {
      "boxId": "2b14f8a8026b9a0126a1b25aa5271f96abc196b00289d3ec3e88be9ab20a3762",
      "value": 5000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "4e05cb30ed353e380af36db94ac063147b052c14e862ef09298c61816d0e496d",
      "outputTransactionId": "adcd772b3b2f34f818b85e68529ebe8b812f1e9ae517ab4869302f25e796f446",
      "outputIndex": 4,
      "outputGlobalIndex": 39410983,
      "outputCreatedAt": 1247645,
      "outputSettledAt": 1247647,
      "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": "cc2dbb2f1134aa269cf27d8b8dfd5ed37d740caa6378e72e3c80e8ca29b81bfa",
      "value": 2000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "4e05cb30ed353e380af36db94ac063147b052c14e862ef09298c61816d0e496d",
      "outputTransactionId": "7c23e501f14fae1b511807042462a567590f374c4d98e31a897c6e2c41ca8517",
      "outputIndex": 51,
      "outputGlobalIndex": 39411147,
      "outputCreatedAt": 1247645,
      "outputSettledAt": 1247647,
      "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": "d1f80241e2573c219ef25d9f7003842743f92c4a8f9d3c9339cb8fc3ca47d095",
      "value": 2000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "4e05cb30ed353e380af36db94ac063147b052c14e862ef09298c61816d0e496d",
      "outputTransactionId": "6bcda7bd6d6c0b637a6e042a35d763d2240feb1c138be17d55d823f511f276fc",
      "outputIndex": 51,
      "outputGlobalIndex": 39411204,
      "outputCreatedAt": 1247645,
      "outputSettledAt": 1247647,
      "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": "4ReSd69SwrHpRYhrU6RBk3ZHaCoYtufnFaygXNKD6d2w7ZQULwcQgRmVc7y1q7x6HeoKrGf7Z3aQm8VzmdZwpDQbehYMjBPRY3RXwM8R7pL7m6cAo9hJx7L7WeFnXzFrHh3FRg4Ad5vpytgUe7xdLSDeXJkHbLM6aivndMW7yVWVTcT7Urdz2wiKRs7kDcrC7JmSGtvRpttPCnmGk65YAP7cmcSjT3zNnu9dxebuFV4KCzJNQfRmhnVrfigjbaDQav4xA9CyVj5evuWZCLMKhaXh2pq8EU2NxhwbYJnACUx4A2ovPnaybSpzLnHQrYitynUWosm8achGDP3qXWJzy152UmXiQ2LKiKXjYz9LBcHGBVS82b8bT8ffKnkeRsokTm6fStaRa7EcxNc8LHZe1VcepLC7acPAxhfNccni1kgbD7UrPfr6cs48Pm9TK9fBsmhf6YmRo4yaS9QoJr3Bieqse6BuhEXom7a4VZbTESSoj9hhqcJH1MbtqQTZRfeHcf8XWtiY8SA7nxsCgASzLECKm7tG795ew8XP5UUspaTuhBdHXxz5na6EeZxmgf87yyKmGZFNoyTEgvByHoq3Vp66RLuuFrpWm5KP2zHdVmN2KQ8eB21fakQgES4tYCRN5axZZdXdMyzeuyjF4e4XEdj4MzKUyu79iLysHGaJnzMoWNuhUH8EHQAnkvTq3bxaTdkimESS9yLa7urm75HtrV3vj42TqXEK4b1jEzmeR9HTkxF5t71Y4vFphnUvTC88gausfE7Jp5LuJef84jfkXaELxowLS7pTWffTPuaJ9exWYVJE2XsaPm7PMcaF6pX2wDZERwUoY9Q7mTVNx3XGeTf2zgGDUfZdrpSVHkvs5ZuLXvqV5dYASfbbDF5dbSmqmLenos9JjdEqpwrM4qYCjrCrHrrxX4dppV7H7LAJgfEvUzbK7VxhcACx5A2vuZBvvcBHGaXmHYN5eZFhEDrF6wxToXsR94BBmZ4BiRLBuW",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "f36d3b19d86acfd13c6aae1aa26cbb4fb3c53dfc486388f4e22bf552e543ddfd",
      "value": 2000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "eaa2e802ac54aa0c1175228d184d482bc398937f6f310414346b685e3f57c77c",
      "outputTransactionId": "56b801d76811ed37ad2dcb0cd077e485cb2486a7118d711573727a55c7d9191b",
      "outputIndex": 51,
      "outputGlobalIndex": 39411423,
      "outputCreatedAt": 1247646,
      "outputSettledAt": 1247649,
      "ergoTree": "102f048084af5f04060400040205c0843d04040580897a010005000e200e4202196f6030ab1986e39012dc95ea10f034b13d90a70c0b1f86d986106ff60406040004000e20097fd281c99588269d672e1b686bf6bcdce04102e183b2242f6634d93869fc0a0404040004020100040805809bee020580897a0580897a040a05809bee02040c0580897a0100040004020400040004000e20012d649686deeef606d253146bec0cf623f9b84574fbfa0fd0d109139392361304000402010005c0843d05e0a7120580897a05c09a0c040404020100040004000e20436f8f48a3650c7be728e2a331e9a6e818c31f27163ee6e5257fcfd2d8423dc30100d80ad601c1a7d60295968302019072017e73000593b1a57301d802d602b2a5730200d603c2a7968303019683020191c17202720193c27202720393c1b2a57303009c73047eb1b5a4d901046393c2720472030593c1b2a573050073067307d603b1a4d60486028300027308d6057309d606c2a7d6079595927203730a96830301938cb2db6308b2a4730b00730c01720401730d938cb2db6308b2a4730e00730f01720401720593c5b2a4997203731000c5a77311d801d607b2a5731200968303019683020192c17207999999720173137314731593c27207720693c1b2a5731600731793c1b2a57318007319731ad608b2a4731b00d609997203731cd60a9596830201938cb2db63087208731d01720401720593c5b2a4720900c5a7d805d60ab1b5a4d9010a63d801d60cdb6308720a9591b1720c731e96830201938cb2720c731f0001732093b2e4c6720a0411732100b2e4c6720804117322007323d60bb2a5720900d60c7e720a05d60d9a73249c7325720cd60e9a73269c7327720c968304019372039a720a73289683020192c1720b99997201720d720e93c2720b720693c1b2a5720300720d93c1b2a59a7203732900720e732ad1ececec72027207720a95efecec72027207720a938cb2db6308b2a5732b00732c0001732d732e",
      "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": "c00cfd73bd6dd2546b71fe6ea13c4fc571c7962118ed09e888b2056124ba74c9",
      "value": 2000000,
      "index": 4,
      "spendingProof": null,
      "outputBlockId": "eaa2e802ac54aa0c1175228d184d482bc398937f6f310414346b685e3f57c77c",
      "outputTransactionId": "88a40e16cd6975b6af01b98e583ed3c672f39445c3c0a3e16d4631fcd32b403f",
      "outputIndex": 51,
      "outputGlobalIndex": 39411477,
      "outputCreatedAt": 1247646,
      "outputSettledAt": 1247649,
      "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": "4ReSd69SwrHpRYhrU6RBk3ZHaCoYtufnFaygXNKD6d2w7ZQULwcQgRmVc7y1q7x6HeoKrGf7Z3aQm8VzmdZwpDQbehYMjBPRY3RXwM8R7pL7m6cAo9hJx7L7WeFnXzFrHh3FRg4Ad5vpytgUe7xdLSDeXJkHbLM6aivndMW7yVWVTcT7Urdz2wiKRs7kDcrC7JmSGtvRpttPCnmGk65YAP7cmcSjT3zNnu9dxebuFV4KCzJNQfRmhnVrfigjbaDQav4xA9CyVj5evuWZCLMKhaXh2pq8EU2NxhwbYJnACUx4A2ovPnaybSpzLnHQrYitynUWosm8achGDP3qXWJzy152UmXiQ2LKiKXjYz9LBcHGBVS82b8bT8ffKnkeRsokTm6fStaRa7EcxNc8LHZe1VcepLC7acPAxhfNccni1kgbD7UrPfr6cs48Pm9TK9fBsmhf6YmRo4yaS9QoJr3Bieqse6BuhEXom7a4VZbTESSoj9hhqcJH1MbtqQTZRfeHcf8XWtiY8SA7nxsCgASzLECKm7tG795ew8XP5UUspaTuhBdHXxz5na6EeZxmgf87yyKmGZFNoyTEgvByHoq3Vp66RLuuFrpWm5KP2zHdVmN2KQ8eB21fakQgES4tYCRN5axZZdXdMyzeuyjF4e4XEdj4MzKUyu79iLysHGaJnzMoWNuhUH8EHQAnkvTq3bxaTdkimESS9yLa7urm75HtrV3vj42TqXEK4b1jEzmeR9HTkxF5t71Y4vFphnUvTC88gausfE7Jp5LuJef84jfkXaELxowLS7pTWffTPuaJ9exWYVJE2XsaPm7PMcaF6pX2wDZERwUoY9Q7mTVNx3XGeTf2zgGDUfZdrpSVHkvs5ZuLXvqV5dYASfbbDF5dbSmqmLenos9JjdEqpwrM4qYCjrCrHrrxX4dppV7H7LAJgfEvUzbK7VxhcACx5A2vuZBvvcBHGaXmHYN5eZFhEDrF6wxToXsR94BBmZ4BiRLBuW",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "4417cd0405cba04c944ffb8599606e308a4c3a740d3fd7e7cea252535b1b6a56",
      "value": 7000000,
      "index": 5,
      "spendingProof": null,
      "outputBlockId": "eaa2e802ac54aa0c1175228d184d482bc398937f6f310414346b685e3f57c77c",
      "outputTransactionId": "820ce97973b82c6cbadeef497cec5dc59ffdd4d0891d21ca5781d7e1bc721bfe",
      "outputIndex": 7,
      "outputGlobalIndex": 39411548,
      "outputCreatedAt": 1247646,
      "outputSettledAt": 1247649,
      "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": "82276b82cb91d08a2160fffe7f6d1076c36f456f2a2d6cce2b7819435b57c1b9",
      "transactionId": "e4e89f830da61a97864d5648a9d8aed5622bbf6f7a2e491dc1d9cf7a24204af0",
      "blockId": "eaa2e802ac54aa0c1175228d184d482bc398937f6f310414346b685e3f57c77c",
      "value": 16000000,
      "index": 0,
      "globalIndex": 39411557,
      "creationHeight": 1247646,
      "settlementHeight": 1247649,
      "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": "2b09e845a1a7a91567b8b7b75f1704f7601ef1d06523fa9f399d8ca8c8049b51",
      "mainChain": true
    },
    {
      "boxId": "77ac006a3de865f5b4dc752a92911ced0d9fab03d246c0de7e97ecce7fca3a66",
      "transactionId": "e4e89f830da61a97864d5648a9d8aed5622bbf6f7a2e491dc1d9cf7a24204af0",
      "blockId": "eaa2e802ac54aa0c1175228d184d482bc398937f6f310414346b685e3f57c77c",
      "value": 3000000,
      "index": 1,
      "globalIndex": 39411558,
      "creationHeight": 1247646,
      "settlementHeight": 1247649,
      "ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
      "address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "3a781ff498638d2cb454ee5af516ba221b7e83b0ef2bfcf064e024ef240abbd5",
      "mainChain": true
    },
    {
      "boxId": "c2d02a2c42473951d4658c32374d321008624b77768ed50ddb8175f47382a86b",
      "transactionId": "e4e89f830da61a97864d5648a9d8aed5622bbf6f7a2e491dc1d9cf7a24204af0",
      "blockId": "eaa2e802ac54aa0c1175228d184d482bc398937f6f310414346b685e3f57c77c",
      "value": 1000000,
      "index": 2,
      "globalIndex": 39411559,
      "creationHeight": 1247646,
      "settlementHeight": 1247649,
      "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": "e8fe4b6e73e5fed60bb696a0e89f14e2cc089521265d18cdddaca5bfc9e90360",
      "mainChain": true
    }
  ],
  "size": 1104,
  "isUnconfirmed": false
}