Ad

Transaction

7/9/2024 08:40:24 AM
ID: a0f770da41...ffe5
Inputs (10)
#0
0957eeda02a5...733b
Spent
Address:
Auction House (Trade House)
Output transaction:
d9d0abfa0e40...1fc0
Settlement height:
1,304,114
Value:
10.2 ERG
#1
862de422c680...d278
Spent
Address:
Auction House (Trade House)
Output transaction:
806f93576496...a1b8
Settlement height:
1,304,113
Value:
10.2 ERG
#2
abf0538548b9...e6aa
Spent
Address:
Auction House (Trade House)
Output transaction:
558fa72f28db...9881
Settlement height:
1,304,113
Value:
10.2 ERG
#3
2643319bc08a...5222
Spent
Address:
Auction House (Trade House)
Output transaction:
5ebb3cb0898f...27d4
Settlement height:
1,304,113
Value:
10.2 ERG
#4
891903b4357d...f2aa
Spent
Address:
Auction House (Trade House)
Output transaction:
a95ae69dd87c...e645
Settlement height:
1,304,113
Value:
10.2 ERG
#5
968149a24bcb...1b83
Spent
Address:
Auction House (Trade House)
Output transaction:
9bbfaf22f110...9754
Settlement height:
1,304,113
Value:
10.2 ERG
#6
92055bbeb045...6600
Spent
Address:
Auction House (Trade House)
Output transaction:
df5e2f5b775a...1ea2
Settlement height:
1,304,113
Value:
10.2 ERG
#7
ccc4404e26c8...5ed9
Spent
Address:
Auction House (Trade House)
Output transaction:
6b312139e064...4610
Settlement height:
1,304,113
Value:
10.2 ERG
#8
086272973a87...c3f4
Spent
Address:
Auction House (Trade House)
Output transaction:
5b51bc85a716...971c
Settlement height:
1,304,113
Value:
10.2 ERG
#9
00c44dc10109...a098
Spent
Address:
Auction House (Trade House)
Output transaction:
f3152509801d...3262
Settlement height:
1,304,113
Value:
10.2 ERG
Outputs (11)
#0
a9224f61c53a...8033
Spent
Address:
9hqgCf74DNGB...qbDB
Spent in transaction:
991da62131d9...5ea2
Settlement height:
1,304,131
Value:
10.2 ERG
#1
3d767944ff97...baba
Spent
Address:
9hqgCf74DNGB...qbDB
Spent in transaction:
991da62131d9...5ea2
Settlement height:
1,304,131
Value:
10.2 ERG
#2
824e11cecd58...f61e
Spent
Address:
9hqgCf74DNGB...qbDB
Spent in transaction:
f7d2804e2f38...52e7
Settlement height:
1,304,131
Value:
10.2 ERG
#3
a963a39bac70...086f
Spent
Address:
9hqgCf74DNGB...qbDB
Spent in transaction:
f7d2804e2f38...52e7
Settlement height:
1,304,131
Value:
10.2 ERG
#4
40eec9a9edf4...be3b
Spent
Address:
9hqgCf74DNGB...qbDB
Spent in transaction:
21bbbad2472e...e3ce
Settlement height:
1,304,131
Value:
10.2 ERG
#5
90df621caa12...3f7a
Spent
Address:
9hqgCf74DNGB...qbDB
Spent in transaction:
21bbbad2472e...e3ce
Settlement height:
1,304,131
Value:
10.2 ERG
#6
44d68ab87704...e653
Spent
Address:
9hqgCf74DNGB...qbDB
Spent in transaction:
604fd8d36d4b...0d87
Settlement height:
1,304,131
Value:
10.2 ERG
#7
334749a6b1f0...a7b9
Spent
Address:
9hqgCf74DNGB...qbDB
Spent in transaction:
604fd8d36d4b...0d87
Settlement height:
1,304,131
Value:
10.2 ERG
#8
22ba854e680a...aebf
Spent
Address:
9hqgCf74DNGB...qbDB
Spent in transaction:
cb2197d1cc47...de52
Settlement height:
1,304,131
Value:
10.2 ERG
#9
548e9cc2fb73...f200
Spent
Address:
9hqgCf74DNGB...qbDB
Spent in transaction:
cb2197d1cc47...de52
Settlement height:
1,304,131
Value:
10.2 ERG
#10
8cf8eda1d08c...e0ab
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
c98fa6fefe01...69c0
Settlement height:
1,304,131
Value:
0.02 ERG
Transaction Details
Status: Confirmed
Size: 2.43 KB
Received time: 7/9/2024 08:40:24 AM
Included in blocks: 1,304,131
Confirmations: 454,972
Total coins transferred: 102 ERG
Fees: 0.02 ERG
Fees per byte: 0.000008032 ERG
Raw Transaction Data
{
  "id": "a0f770da4191a7c04aa8ee320ffcdbf7fddf02cf031431d6b8f1d895028cffe5",
  "blockId": "032095a1dcf9b7fefa87dc3e3aea5497a450f4f93d8b861bd153e08157669107",
  "inclusionHeight": 1304131,
  "timestamp": 1720514424009,
  "index": 1,
  "globalIndex": 7454485,
  "numConfirmations": 454972,
  "inputs": [
    {
      "boxId": "0957eeda02a511ccdf71f5bda10098e4cfed9101b697922449d10e87297f733b",
      "value": 10200000000,
      "index": 0,
      "spendingProof": "14e865fb2db8fc208636dc9db30ff0ed7097f443b4cd12fb57de3036570f5d8d1bdd621b8eba90610f4e70ef0b91ad3d046fea5174d38fd0",
      "outputBlockId": "9f1c0d536b54f1ffd98be7ac1eceb71b9541e0b89f3c4d6135f245738b36c4a2",
      "outputTransactionId": "d9d0abfa0e401179b216abcf25fbb87675fc8409ce2e08c81dd98354d2271fc0",
      "outputIndex": 0,
      "outputGlobalIndex": 41327983,
      "outputCreatedAt": 1221474,
      "outputSettledAt": 1304114,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 1\n10: 2\n11: 0\n12: 0\n13: 0\n14: 4\n15: 0\n16: 0\n17: 3\n18: -1\n19: -1\n20: -1\n21: 1\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: 0\n29: CBigInt(1000)\n30: 1\n31: CBigInt(1000)\n32: -1\n33: -1\n34: 0\n35: 2\n36: CBigInt(0)\n37: true\n38: 1\n39: 0\n40: 1\n41: 2\n42: 1\n43: true\n44: false\n45: 0\n46: Coll(-94,81,-67,-108,126,35,-68,-50,-11,47,-73,-50,-51,61,99,-57,-22,32,-78,105,89,-82,-117,-105,-18,-21,-67,-109,56,-100,125,74)",
      "ergoTreeScript": "{\n  val opt1 = SELF.R4[Coll[Byte]]\n  val coll2 = opt1.get\n  val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](0)))\n  val opt4 = SELF.R5[Coll[Long]]\n  val opt5 = SELF.R6[Coll[Long]]\n  val opt6 = SELF.R7[Coll[Byte]]\n  val coll7 = SELF.R8[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1))\n  val l9 = coll7(placeholder[Int](2))\n  val l10 = coll7(placeholder[Int](3))\n  val l11 = CONTEXT.preHeader.timestamp\n  val coll12 = opt4.get\n  val coll13 = SELF.tokens\n  val box14 = CONTEXT.dataInputs(placeholder[Int](4))\n  val l15 = box14.R6[Long].get\n  val l16 = SELF.value\n  val coll17 = Coll[Byte]()\n  val coll18 = opt6.get\n  val tuple19 = coll13.getOrElse(placeholder[Int](5), (coll17, l16))\n  val coll20 = tuple19._1\n  val i21 = coll20.size\n  val bool22 = i21 == placeholder[Int](6)\n  val box23 = INPUTS(placeholder[Int](7))\n  val coll24 = box23.id\n  val coll25 = SELF.id\n  val bool26 = coll24 == coll25\n  val i27 = placeholder[Int](8)\n  val i28 = placeholder[Int](9)\n  val i29 = if (bool26) { i27 } else { i28 }\n  val i30 = i29 + placeholder[Int](10)\n  val box31 = OUTPUTS.getOrElse(i30, SELF)\n  val tuple32 = \n    val l32 = box31.value\n    val tuple33 = (coll17, l32)\n    tuple33\n  \n  val tuple33 = \n    val coll33 = box31.tokens\n    val tuple34 = (coll20, placeholder[Long](11))\n    val tuple35 = coll33.getOrElse(placeholder[Int](12), tuple34)\n    tuple35\n  \n  val tuple34 = if (bool22) { tuple32 } else { tuple33 }\n  val l35 = tuple34._2\n  val coll36 = opt5.get\n  val l37 = coll36(placeholder[Int](13))\n  val i38 = i29 + placeholder[Int](14)\n  val box39 = OUTPUTS.getOrElse(i38, SELF)\n  val tuple40 = \n    val l40 = box39.value\n    val tuple41 = (coll17, l40)\n    tuple41\n  \n  val tuple41 = \n    val coll41 = box39.tokens\n    val tuple42 = (coll20, placeholder[Long](15))\n    val tuple43 = coll41.getOrElse(placeholder[Int](16), tuple42)\n    tuple43\n  \n  val tuple42 = if (bool22) { tuple40 } else { tuple41 }\n  val l43 = tuple42._2\n  val tuple44 = box14.R7[(Coll[Byte], Coll[Byte])].get\n  val coll45 = box14.R4[Coll[Int]].get\n  val coll46 = tuple42._1\n  proveDlog(decodePoint(coll2.slice(placeholder[Int](17), coll2.size))) && sigmaProp(\n    ((((box3.R4[Coll[Byte]] == opt1) && (box3.R5[Coll[Long]] == opt4)) && (box3.R6[Coll[Long]] == opt5)) && (box3.R7[Coll[Byte]] == opt6)) && (\n      box3.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](18), placeholder[Long](19), placeholder[Long](20))) == Coll[Long](\n        l9, l10, l8 + placeholder[Long](21)\n      )\n    )\n  ) || sigmaProp(if (l11 > coll12(placeholder[Int](22))) { if (l11 > coll12(placeholder[Int](23))) {(\n        val box47 = OUTPUTS(placeholder[Int](24))\n        allOf(Coll[Boolean](box47.tokens == coll13, box47.value >= l16 - placeholder[Long](25) * l15, box47.propositionBytes == coll2))\n      )} else {(\n        val box47 = box23\n        val coll48 = coll24\n        val coll49 = coll25\n        val bool50 = bool26\n        val i51 = i27\n        val i52 = i28\n        val i53 = i29\n        val box54 = OUTPUTS.getOrElse(i53, SELF)\n        val tuple55 = box54.tokens.getOrElse(placeholder[Int](26), (coll17, box54.value))\n        val l56 = tuple55._2\n        val coll57 = coll20\n        val i58 = i21\n        val bool59 = bool22\n        val i60 = i30\n        val box61 = box31\n        val tuple62 = tuple32\n        val tuple63 = tuple33\n        val tuple64 = tuple34\n        val l65 = tuple19._2\n        val bi66 = coll36(placeholder[Int](27)) - l10.toBigInt\n        val bi67 = bi66 * l56.toBigInt / l37 - l9.toBigInt\n        val bi68 = if (bi67 > bi66) { bi66 } else { bi67 }\n        val bi69 = if (coll18 == tuple44._2) { bi68 * coll45(placeholder[Int](28)).toBigInt / placeholder[BigInt](29) } else { bi68 * coll45(placeholder[Int](30)).toBigInt / placeholder[BigInt](31) }\n        val i70 = i38\n        val box71 = box39\n        val tuple72 = tuple40\n        val tuple73 = tuple41\n        val tuple74 = tuple42\n        val coll75 = box61.propositionBytes\n        val l76 = l9 + l56\n        val coll77 = box61.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](32), placeholder[Long](33)))\n        allOf(Coll[Boolean](((((((l56 > placeholder[Long](34)) && (tuple55._1 == coll18)) && (if (bool59) {(\n                        val l78 = l35\n                        l65 - l78 - l15 * placeholder[Long](35)\n                      )} else { l65 - l35 }.toBigInt <= bi68 + l43.toBigInt)) && (box54.propositionBytes == coll2)) && (if (bi69 > placeholder[BigInt](36)) { if (bool59) {(\n                      val coll78 = coll46\n                      val l79 = l43\n                      ((coll78 == coll57) && (l79.toBigInt >= bi69)) && (l79.toBigInt <= bi69 + l15.toBigInt)\n                    )} else { (coll46 == coll57) && (l43.toBigInt == bi69) } } else { placeholder[Boolean](37) } && (box71.propositionBytes == box14.R5[Coll[Byte]].get))) && (INPUTS(i53).id == coll49)) && (box47.propositionBytes == INPUTS(placeholder[Int](38)).propositionBytes), ((((((((coll75 == if (l76 >= l37) { coll2 } else { SELF.propositionBytes }) && (box61.R4[Coll[Byte]].get == coll2)) && (box61.R5[Coll[Long]].get == coll12)) && (box61.R6[Coll[Long]].get == coll36)) && (box61.R7[Coll[Byte]].get == coll18)) && (coll77(placeholder[Int](39)) == l76)) && (coll77(placeholder[Int](40)).toBigInt == l10.toBigInt + bi68)) && (coll77(placeholder[Int](41)) == l8 + placeholder[Long](42))) && if (coll75 == coll2) { placeholder[Boolean](43) } else { tuple64._1 == coll57 }))\n      )} } else { placeholder[Boolean](44) }) && sigmaProp(\n    (box14.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46)) && (((coll18, coll20) == tuple44) || ((coll20, coll18) == tuple44))\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "11029c0e8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[910,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,0]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      }
    },
    {
      "boxId": "862de422c68037d1ca147f85c65818198d3f1b4a417e70c7f26d19279995d278",
      "value": 10200000000,
      "index": 1,
      "spendingProof": "e2735e64c7bdf99c8a73b4c2d75be526fe144a37d2f7c4528bd9e17e723510fcd71de678dc0a72f9b352dc77a9a14e68f63bae7864101511",
      "outputBlockId": "35aec9f5835b5ea5ad99f2a1c65a243cf386558f35bf6df2327332712c865af9",
      "outputTransactionId": "806f93576496324c4c83d9a5ff4249504caf439bb6a02947ef726938bb4ca1b8",
      "outputIndex": 0,
      "outputGlobalIndex": 41327856,
      "outputCreatedAt": 1221474,
      "outputSettledAt": 1304113,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 1\n10: 2\n11: 0\n12: 0\n13: 0\n14: 4\n15: 0\n16: 0\n17: 3\n18: -1\n19: -1\n20: -1\n21: 1\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: 0\n29: CBigInt(1000)\n30: 1\n31: CBigInt(1000)\n32: -1\n33: -1\n34: 0\n35: 2\n36: CBigInt(0)\n37: true\n38: 1\n39: 0\n40: 1\n41: 2\n42: 1\n43: true\n44: false\n45: 0\n46: Coll(-94,81,-67,-108,126,35,-68,-50,-11,47,-73,-50,-51,61,99,-57,-22,32,-78,105,89,-82,-117,-105,-18,-21,-67,-109,56,-100,125,74)",
      "ergoTreeScript": "{\n  val opt1 = SELF.R4[Coll[Byte]]\n  val coll2 = opt1.get\n  val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](0)))\n  val opt4 = SELF.R5[Coll[Long]]\n  val opt5 = SELF.R6[Coll[Long]]\n  val opt6 = SELF.R7[Coll[Byte]]\n  val coll7 = SELF.R8[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1))\n  val l9 = coll7(placeholder[Int](2))\n  val l10 = coll7(placeholder[Int](3))\n  val l11 = CONTEXT.preHeader.timestamp\n  val coll12 = opt4.get\n  val coll13 = SELF.tokens\n  val box14 = CONTEXT.dataInputs(placeholder[Int](4))\n  val l15 = box14.R6[Long].get\n  val l16 = SELF.value\n  val coll17 = Coll[Byte]()\n  val coll18 = opt6.get\n  val tuple19 = coll13.getOrElse(placeholder[Int](5), (coll17, l16))\n  val coll20 = tuple19._1\n  val i21 = coll20.size\n  val bool22 = i21 == placeholder[Int](6)\n  val box23 = INPUTS(placeholder[Int](7))\n  val coll24 = box23.id\n  val coll25 = SELF.id\n  val bool26 = coll24 == coll25\n  val i27 = placeholder[Int](8)\n  val i28 = placeholder[Int](9)\n  val i29 = if (bool26) { i27 } else { i28 }\n  val i30 = i29 + placeholder[Int](10)\n  val box31 = OUTPUTS.getOrElse(i30, SELF)\n  val tuple32 = \n    val l32 = box31.value\n    val tuple33 = (coll17, l32)\n    tuple33\n  \n  val tuple33 = \n    val coll33 = box31.tokens\n    val tuple34 = (coll20, placeholder[Long](11))\n    val tuple35 = coll33.getOrElse(placeholder[Int](12), tuple34)\n    tuple35\n  \n  val tuple34 = if (bool22) { tuple32 } else { tuple33 }\n  val l35 = tuple34._2\n  val coll36 = opt5.get\n  val l37 = coll36(placeholder[Int](13))\n  val i38 = i29 + placeholder[Int](14)\n  val box39 = OUTPUTS.getOrElse(i38, SELF)\n  val tuple40 = \n    val l40 = box39.value\n    val tuple41 = (coll17, l40)\n    tuple41\n  \n  val tuple41 = \n    val coll41 = box39.tokens\n    val tuple42 = (coll20, placeholder[Long](15))\n    val tuple43 = coll41.getOrElse(placeholder[Int](16), tuple42)\n    tuple43\n  \n  val tuple42 = if (bool22) { tuple40 } else { tuple41 }\n  val l43 = tuple42._2\n  val tuple44 = box14.R7[(Coll[Byte], Coll[Byte])].get\n  val coll45 = box14.R4[Coll[Int]].get\n  val coll46 = tuple42._1\n  proveDlog(decodePoint(coll2.slice(placeholder[Int](17), coll2.size))) && sigmaProp(\n    ((((box3.R4[Coll[Byte]] == opt1) && (box3.R5[Coll[Long]] == opt4)) && (box3.R6[Coll[Long]] == opt5)) && (box3.R7[Coll[Byte]] == opt6)) && (\n      box3.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](18), placeholder[Long](19), placeholder[Long](20))) == Coll[Long](\n        l9, l10, l8 + placeholder[Long](21)\n      )\n    )\n  ) || sigmaProp(if (l11 > coll12(placeholder[Int](22))) { if (l11 > coll12(placeholder[Int](23))) {(\n        val box47 = OUTPUTS(placeholder[Int](24))\n        allOf(Coll[Boolean](box47.tokens == coll13, box47.value >= l16 - placeholder[Long](25) * l15, box47.propositionBytes == coll2))\n      )} else {(\n        val box47 = box23\n        val coll48 = coll24\n        val coll49 = coll25\n        val bool50 = bool26\n        val i51 = i27\n        val i52 = i28\n        val i53 = i29\n        val box54 = OUTPUTS.getOrElse(i53, SELF)\n        val tuple55 = box54.tokens.getOrElse(placeholder[Int](26), (coll17, box54.value))\n        val l56 = tuple55._2\n        val coll57 = coll20\n        val i58 = i21\n        val bool59 = bool22\n        val i60 = i30\n        val box61 = box31\n        val tuple62 = tuple32\n        val tuple63 = tuple33\n        val tuple64 = tuple34\n        val l65 = tuple19._2\n        val bi66 = coll36(placeholder[Int](27)) - l10.toBigInt\n        val bi67 = bi66 * l56.toBigInt / l37 - l9.toBigInt\n        val bi68 = if (bi67 > bi66) { bi66 } else { bi67 }\n        val bi69 = if (coll18 == tuple44._2) { bi68 * coll45(placeholder[Int](28)).toBigInt / placeholder[BigInt](29) } else { bi68 * coll45(placeholder[Int](30)).toBigInt / placeholder[BigInt](31) }\n        val i70 = i38\n        val box71 = box39\n        val tuple72 = tuple40\n        val tuple73 = tuple41\n        val tuple74 = tuple42\n        val coll75 = box61.propositionBytes\n        val l76 = l9 + l56\n        val coll77 = box61.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](32), placeholder[Long](33)))\n        allOf(Coll[Boolean](((((((l56 > placeholder[Long](34)) && (tuple55._1 == coll18)) && (if (bool59) {(\n                        val l78 = l35\n                        l65 - l78 - l15 * placeholder[Long](35)\n                      )} else { l65 - l35 }.toBigInt <= bi68 + l43.toBigInt)) && (box54.propositionBytes == coll2)) && (if (bi69 > placeholder[BigInt](36)) { if (bool59) {(\n                      val coll78 = coll46\n                      val l79 = l43\n                      ((coll78 == coll57) && (l79.toBigInt >= bi69)) && (l79.toBigInt <= bi69 + l15.toBigInt)\n                    )} else { (coll46 == coll57) && (l43.toBigInt == bi69) } } else { placeholder[Boolean](37) } && (box71.propositionBytes == box14.R5[Coll[Byte]].get))) && (INPUTS(i53).id == coll49)) && (box47.propositionBytes == INPUTS(placeholder[Int](38)).propositionBytes), ((((((((coll75 == if (l76 >= l37) { coll2 } else { SELF.propositionBytes }) && (box61.R4[Coll[Byte]].get == coll2)) && (box61.R5[Coll[Long]].get == coll12)) && (box61.R6[Coll[Long]].get == coll36)) && (box61.R7[Coll[Byte]].get == coll18)) && (coll77(placeholder[Int](39)) == l76)) && (coll77(placeholder[Int](40)).toBigInt == l10.toBigInt + bi68)) && (coll77(placeholder[Int](41)) == l8 + placeholder[Long](42))) && if (coll75 == coll2) { placeholder[Boolean](43) } else { tuple64._1 == coll57 }))\n      )} } else { placeholder[Boolean](44) }) && sigmaProp(\n    (box14.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46)) && (((coll18, coll20) == tuple44) || ((coll20, coll18) == tuple44))\n  )\n}",
      "address": "2JhU6VoVfmAxjDRnfJxXp77vERh1cgiu7wXocpjLqVANTFH2F2WWiBDfh6eV1NFAxCXWYhvKjMgHZLKMGxadKhWbRJR2hYCaUwP1LfcWV6kqEJokSxf7Kk3TyG8Zgx43kRP7n2eXSmPQYbSghY3zKaFmmi618EJYxgdwMuse9PH16ukYfWz7KXqbjczJLUTMNa867nJ2KmhrMUYgLHBTBKh6taK2grAVN1XLGgRQsKGqDeksAHbocytvcyZYqmqApftSHZFuBt6AxjUZkpN5PvkZJT9VQjQiN1jSWXB4sijF1B79AFDJmvX2yMt1wav9Zd4C2HSuKDwKEeNgQVfixRh9eH3pftpsaG9aoCvrJz6gD4JPkbUFLiuHkRV8WUKvD99KkbbwU8aJszSWcRRR4jbnwKjuZ2wSL1QMUyBmwEi6rrb1i7bN5FCUtvSyU9AYdZhMELWEgF9P5UDSuMDWWbHfJnviyg7C2aUA6YWoGt7W2xPNPbHRCmBWkGUw18fyqRmMLpYiNnLdfBoZwn2ECxEcyj1JBNH7U88MiDnYwZp5EzTSTSTLvfAT2YRhd4qa3tvSLCgkwLAXa4FEui8gUfEQ2jrGBMjSe8L9qMusncpAywZhB5Q6VepENxstYAPyDEZqhCotuzCC3anJcq5LZzRsbEC8zKLxvV7uMqg5bUJdSdo472CG98DiRwAYgG6Qiia3JwVFX9bHu5y4XdDpEbvr73n7UEi3FMaPG9PPm4xedNryfSdR8dSdBm7Km2aBGcH4nLoTGnHXRkeGCFbfA3dcAGwLQGhq7N4JhaQ6LgRS32Q1Fo34xE73aunrHy5hhAWq9ykpz6Ao1ks8sgorVW23R7V87d6oy7rfhKo27FK6YYxvwS9reB2qKwPDRg3JPWGDemS1oTmxU95mg4HTQ4HjzBbTEJreUofLxUdgkkZGknFA1HGSJZHJ1BFui86C7CrUq1UbNQmq66n8aezkC332CPB9ddz7rLgFF7tomCKRWYibwKquVJ875a7svvsw3465hADbaQ6pX5adj1oUHWQZeKdfBHhipHYqZw17JUUBb1E9cNjZVWiaSB8vN89R6oWaebQhL24b9dUpmQrV7ANaJ9AFFZE4ocsQrVHiak1Y4tiHNuG5cT7kYfT2mNSB3p5wqFNu2DVmX4V8yQaxCBKKkhjFPjmmeErjtQCbXbBuV8CPt8b3Ak9jyaqL9WF6MUKTcFrDWnAgwdNtfXT7ibnKBWxrpvGTqr7oUZFsnVqdaCgUuYeGwyFM66yrYRr9SmU3bjUhhwazZQpAzzFQc4yos6e3PfYBCZd7aTjduNDUkLqV9GEM43cZtKpU25c4AWikiQqzeBAGPSYpPxtxtzKoN8izE8PekBMq5ejv7qoVzfMqJ9SWwN1MgVJj7wjyuJ98x1QQ8VX9scodhfU1Ff3MgZk7may2kefyER1qqTzwFZYTbYhDzRJdb98QEJz6b4aZiBpurueSpjXGo4qMzkfC9467DGRmwQCbBLN97nfJ2d8zgeihr6zLyDvLK7rNBGc6PVp9SEsv3cvxQrvVShYkAqxUxTFkbdfvzsrdGHanUaQ5zZX24GRxM2wb2GWUuZxkBcpVj6a5gKJrQtjyK7d3WADNoEcbcAYphgJf",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "1102b00e8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[920,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,0]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      }
    },
    {
      "boxId": "abf0538548b99330ad41201dfd7439dc0e409c8531913a8424a9e0834cebe6aa",
      "value": 10200000000,
      "index": 2,
      "spendingProof": "9ccf16f2f00266f2a221f26028539b1d962883b4be64db45218a91f2ea85267624a835631090a42ebd60c09d8d0eb50b2e93378cadb64b6c",
      "outputBlockId": "35aec9f5835b5ea5ad99f2a1c65a243cf386558f35bf6df2327332712c865af9",
      "outputTransactionId": "558fa72f28db8a69ce96de883741eb2d0ebc0e7cf73a86c5893cfc0a87de9881",
      "outputIndex": 0,
      "outputGlobalIndex": 41327847,
      "outputCreatedAt": 1221473,
      "outputSettledAt": 1304113,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 1\n10: 2\n11: 0\n12: 0\n13: 0\n14: 4\n15: 0\n16: 0\n17: 3\n18: -1\n19: -1\n20: -1\n21: 1\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: 0\n29: CBigInt(1000)\n30: 1\n31: CBigInt(1000)\n32: -1\n33: -1\n34: 0\n35: 2\n36: CBigInt(0)\n37: true\n38: 1\n39: 0\n40: 1\n41: 2\n42: 1\n43: true\n44: false\n45: 0\n46: Coll(-94,81,-67,-108,126,35,-68,-50,-11,47,-73,-50,-51,61,99,-57,-22,32,-78,105,89,-82,-117,-105,-18,-21,-67,-109,56,-100,125,74)",
      "ergoTreeScript": "{\n  val opt1 = SELF.R4[Coll[Byte]]\n  val coll2 = opt1.get\n  val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](0)))\n  val opt4 = SELF.R5[Coll[Long]]\n  val opt5 = SELF.R6[Coll[Long]]\n  val opt6 = SELF.R7[Coll[Byte]]\n  val coll7 = SELF.R8[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1))\n  val l9 = coll7(placeholder[Int](2))\n  val l10 = coll7(placeholder[Int](3))\n  val l11 = CONTEXT.preHeader.timestamp\n  val coll12 = opt4.get\n  val coll13 = SELF.tokens\n  val box14 = CONTEXT.dataInputs(placeholder[Int](4))\n  val l15 = box14.R6[Long].get\n  val l16 = SELF.value\n  val coll17 = Coll[Byte]()\n  val coll18 = opt6.get\n  val tuple19 = coll13.getOrElse(placeholder[Int](5), (coll17, l16))\n  val coll20 = tuple19._1\n  val i21 = coll20.size\n  val bool22 = i21 == placeholder[Int](6)\n  val box23 = INPUTS(placeholder[Int](7))\n  val coll24 = box23.id\n  val coll25 = SELF.id\n  val bool26 = coll24 == coll25\n  val i27 = placeholder[Int](8)\n  val i28 = placeholder[Int](9)\n  val i29 = if (bool26) { i27 } else { i28 }\n  val i30 = i29 + placeholder[Int](10)\n  val box31 = OUTPUTS.getOrElse(i30, SELF)\n  val tuple32 = \n    val l32 = box31.value\n    val tuple33 = (coll17, l32)\n    tuple33\n  \n  val tuple33 = \n    val coll33 = box31.tokens\n    val tuple34 = (coll20, placeholder[Long](11))\n    val tuple35 = coll33.getOrElse(placeholder[Int](12), tuple34)\n    tuple35\n  \n  val tuple34 = if (bool22) { tuple32 } else { tuple33 }\n  val l35 = tuple34._2\n  val coll36 = opt5.get\n  val l37 = coll36(placeholder[Int](13))\n  val i38 = i29 + placeholder[Int](14)\n  val box39 = OUTPUTS.getOrElse(i38, SELF)\n  val tuple40 = \n    val l40 = box39.value\n    val tuple41 = (coll17, l40)\n    tuple41\n  \n  val tuple41 = \n    val coll41 = box39.tokens\n    val tuple42 = (coll20, placeholder[Long](15))\n    val tuple43 = coll41.getOrElse(placeholder[Int](16), tuple42)\n    tuple43\n  \n  val tuple42 = if (bool22) { tuple40 } else { tuple41 }\n  val l43 = tuple42._2\n  val tuple44 = box14.R7[(Coll[Byte], Coll[Byte])].get\n  val coll45 = box14.R4[Coll[Int]].get\n  val coll46 = tuple42._1\n  proveDlog(decodePoint(coll2.slice(placeholder[Int](17), coll2.size))) && sigmaProp(\n    ((((box3.R4[Coll[Byte]] == opt1) && (box3.R5[Coll[Long]] == opt4)) && (box3.R6[Coll[Long]] == opt5)) && (box3.R7[Coll[Byte]] == opt6)) && (\n      box3.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](18), placeholder[Long](19), placeholder[Long](20))) == Coll[Long](\n        l9, l10, l8 + placeholder[Long](21)\n      )\n    )\n  ) || sigmaProp(if (l11 > coll12(placeholder[Int](22))) { if (l11 > coll12(placeholder[Int](23))) {(\n        val box47 = OUTPUTS(placeholder[Int](24))\n        allOf(Coll[Boolean](box47.tokens == coll13, box47.value >= l16 - placeholder[Long](25) * l15, box47.propositionBytes == coll2))\n      )} else {(\n        val box47 = box23\n        val coll48 = coll24\n        val coll49 = coll25\n        val bool50 = bool26\n        val i51 = i27\n        val i52 = i28\n        val i53 = i29\n        val box54 = OUTPUTS.getOrElse(i53, SELF)\n        val tuple55 = box54.tokens.getOrElse(placeholder[Int](26), (coll17, box54.value))\n        val l56 = tuple55._2\n        val coll57 = coll20\n        val i58 = i21\n        val bool59 = bool22\n        val i60 = i30\n        val box61 = box31\n        val tuple62 = tuple32\n        val tuple63 = tuple33\n        val tuple64 = tuple34\n        val l65 = tuple19._2\n        val bi66 = coll36(placeholder[Int](27)) - l10.toBigInt\n        val bi67 = bi66 * l56.toBigInt / l37 - l9.toBigInt\n        val bi68 = if (bi67 > bi66) { bi66 } else { bi67 }\n        val bi69 = if (coll18 == tuple44._2) { bi68 * coll45(placeholder[Int](28)).toBigInt / placeholder[BigInt](29) } else { bi68 * coll45(placeholder[Int](30)).toBigInt / placeholder[BigInt](31) }\n        val i70 = i38\n        val box71 = box39\n        val tuple72 = tuple40\n        val tuple73 = tuple41\n        val tuple74 = tuple42\n        val coll75 = box61.propositionBytes\n        val l76 = l9 + l56\n        val coll77 = box61.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](32), placeholder[Long](33)))\n        allOf(Coll[Boolean](((((((l56 > placeholder[Long](34)) && (tuple55._1 == coll18)) && (if (bool59) {(\n                        val l78 = l35\n                        l65 - l78 - l15 * placeholder[Long](35)\n                      )} else { l65 - l35 }.toBigInt <= bi68 + l43.toBigInt)) && (box54.propositionBytes == coll2)) && (if (bi69 > placeholder[BigInt](36)) { if (bool59) {(\n                      val coll78 = coll46\n                      val l79 = l43\n                      ((coll78 == coll57) && (l79.toBigInt >= bi69)) && (l79.toBigInt <= bi69 + l15.toBigInt)\n                    )} else { (coll46 == coll57) && (l43.toBigInt == bi69) } } else { placeholder[Boolean](37) } && (box71.propositionBytes == box14.R5[Coll[Byte]].get))) && (INPUTS(i53).id == coll49)) && (box47.propositionBytes == INPUTS(placeholder[Int](38)).propositionBytes), ((((((((coll75 == if (l76 >= l37) { coll2 } else { SELF.propositionBytes }) && (box61.R4[Coll[Byte]].get == coll2)) && (box61.R5[Coll[Long]].get == coll12)) && (box61.R6[Coll[Long]].get == coll36)) && (box61.R7[Coll[Byte]].get == coll18)) && (coll77(placeholder[Int](39)) == l76)) && (coll77(placeholder[Int](40)).toBigInt == l10.toBigInt + bi68)) && (coll77(placeholder[Int](41)) == l8 + placeholder[Long](42))) && if (coll75 == coll2) { placeholder[Boolean](43) } else { tuple64._1 == coll57 }))\n      )} } else { placeholder[Boolean](44) }) && sigmaProp(\n    (box14.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46)) && (((coll18, coll20) == tuple44) || ((coll20, coll18) == tuple44))\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "1102d00f8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1000,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,0]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      }
    },
    {
      "boxId": "2643319bc08ad5d88d62dbe33970ff5e5c53aeb21aaa5d3bd655844ddd2f5222",
      "value": 10200000000,
      "index": 3,
      "spendingProof": "90a998fa4f578190556191c7bc89c48c17f477bdd4725667732ff0a8b23f102f61ca95719c809926280aeff8e16799f42bbdfa41f3318a09",
      "outputBlockId": "35aec9f5835b5ea5ad99f2a1c65a243cf386558f35bf6df2327332712c865af9",
      "outputTransactionId": "5ebb3cb0898f8515349fd761924f80104cac98ae82a759d14bb23bde423a27d4",
      "outputIndex": 0,
      "outputGlobalIndex": 41327850,
      "outputCreatedAt": 1221473,
      "outputSettledAt": 1304113,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 1\n10: 2\n11: 0\n12: 0\n13: 0\n14: 4\n15: 0\n16: 0\n17: 3\n18: -1\n19: -1\n20: -1\n21: 1\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: 0\n29: CBigInt(1000)\n30: 1\n31: CBigInt(1000)\n32: -1\n33: -1\n34: 0\n35: 2\n36: CBigInt(0)\n37: true\n38: 1\n39: 0\n40: 1\n41: 2\n42: 1\n43: true\n44: false\n45: 0\n46: Coll(-94,81,-67,-108,126,35,-68,-50,-11,47,-73,-50,-51,61,99,-57,-22,32,-78,105,89,-82,-117,-105,-18,-21,-67,-109,56,-100,125,74)",
      "ergoTreeScript": "{\n  val opt1 = SELF.R4[Coll[Byte]]\n  val coll2 = opt1.get\n  val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](0)))\n  val opt4 = SELF.R5[Coll[Long]]\n  val opt5 = SELF.R6[Coll[Long]]\n  val opt6 = SELF.R7[Coll[Byte]]\n  val coll7 = SELF.R8[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1))\n  val l9 = coll7(placeholder[Int](2))\n  val l10 = coll7(placeholder[Int](3))\n  val l11 = CONTEXT.preHeader.timestamp\n  val coll12 = opt4.get\n  val coll13 = SELF.tokens\n  val box14 = CONTEXT.dataInputs(placeholder[Int](4))\n  val l15 = box14.R6[Long].get\n  val l16 = SELF.value\n  val coll17 = Coll[Byte]()\n  val coll18 = opt6.get\n  val tuple19 = coll13.getOrElse(placeholder[Int](5), (coll17, l16))\n  val coll20 = tuple19._1\n  val i21 = coll20.size\n  val bool22 = i21 == placeholder[Int](6)\n  val box23 = INPUTS(placeholder[Int](7))\n  val coll24 = box23.id\n  val coll25 = SELF.id\n  val bool26 = coll24 == coll25\n  val i27 = placeholder[Int](8)\n  val i28 = placeholder[Int](9)\n  val i29 = if (bool26) { i27 } else { i28 }\n  val i30 = i29 + placeholder[Int](10)\n  val box31 = OUTPUTS.getOrElse(i30, SELF)\n  val tuple32 = \n    val l32 = box31.value\n    val tuple33 = (coll17, l32)\n    tuple33\n  \n  val tuple33 = \n    val coll33 = box31.tokens\n    val tuple34 = (coll20, placeholder[Long](11))\n    val tuple35 = coll33.getOrElse(placeholder[Int](12), tuple34)\n    tuple35\n  \n  val tuple34 = if (bool22) { tuple32 } else { tuple33 }\n  val l35 = tuple34._2\n  val coll36 = opt5.get\n  val l37 = coll36(placeholder[Int](13))\n  val i38 = i29 + placeholder[Int](14)\n  val box39 = OUTPUTS.getOrElse(i38, SELF)\n  val tuple40 = \n    val l40 = box39.value\n    val tuple41 = (coll17, l40)\n    tuple41\n  \n  val tuple41 = \n    val coll41 = box39.tokens\n    val tuple42 = (coll20, placeholder[Long](15))\n    val tuple43 = coll41.getOrElse(placeholder[Int](16), tuple42)\n    tuple43\n  \n  val tuple42 = if (bool22) { tuple40 } else { tuple41 }\n  val l43 = tuple42._2\n  val tuple44 = box14.R7[(Coll[Byte], Coll[Byte])].get\n  val coll45 = box14.R4[Coll[Int]].get\n  val coll46 = tuple42._1\n  proveDlog(decodePoint(coll2.slice(placeholder[Int](17), coll2.size))) && sigmaProp(\n    ((((box3.R4[Coll[Byte]] == opt1) && (box3.R5[Coll[Long]] == opt4)) && (box3.R6[Coll[Long]] == opt5)) && (box3.R7[Coll[Byte]] == opt6)) && (\n      box3.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](18), placeholder[Long](19), placeholder[Long](20))) == Coll[Long](\n        l9, l10, l8 + placeholder[Long](21)\n      )\n    )\n  ) || sigmaProp(if (l11 > coll12(placeholder[Int](22))) { if (l11 > coll12(placeholder[Int](23))) {(\n        val box47 = OUTPUTS(placeholder[Int](24))\n        allOf(Coll[Boolean](box47.tokens == coll13, box47.value >= l16 - placeholder[Long](25) * l15, box47.propositionBytes == coll2))\n      )} else {(\n        val box47 = box23\n        val coll48 = coll24\n        val coll49 = coll25\n        val bool50 = bool26\n        val i51 = i27\n        val i52 = i28\n        val i53 = i29\n        val box54 = OUTPUTS.getOrElse(i53, SELF)\n        val tuple55 = box54.tokens.getOrElse(placeholder[Int](26), (coll17, box54.value))\n        val l56 = tuple55._2\n        val coll57 = coll20\n        val i58 = i21\n        val bool59 = bool22\n        val i60 = i30\n        val box61 = box31\n        val tuple62 = tuple32\n        val tuple63 = tuple33\n        val tuple64 = tuple34\n        val l65 = tuple19._2\n        val bi66 = coll36(placeholder[Int](27)) - l10.toBigInt\n        val bi67 = bi66 * l56.toBigInt / l37 - l9.toBigInt\n        val bi68 = if (bi67 > bi66) { bi66 } else { bi67 }\n        val bi69 = if (coll18 == tuple44._2) { bi68 * coll45(placeholder[Int](28)).toBigInt / placeholder[BigInt](29) } else { bi68 * coll45(placeholder[Int](30)).toBigInt / placeholder[BigInt](31) }\n        val i70 = i38\n        val box71 = box39\n        val tuple72 = tuple40\n        val tuple73 = tuple41\n        val tuple74 = tuple42\n        val coll75 = box61.propositionBytes\n        val l76 = l9 + l56\n        val coll77 = box61.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](32), placeholder[Long](33)))\n        allOf(Coll[Boolean](((((((l56 > placeholder[Long](34)) && (tuple55._1 == coll18)) && (if (bool59) {(\n                        val l78 = l35\n                        l65 - l78 - l15 * placeholder[Long](35)\n                      )} else { l65 - l35 }.toBigInt <= bi68 + l43.toBigInt)) && (box54.propositionBytes == coll2)) && (if (bi69 > placeholder[BigInt](36)) { if (bool59) {(\n                      val coll78 = coll46\n                      val l79 = l43\n                      ((coll78 == coll57) && (l79.toBigInt >= bi69)) && (l79.toBigInt <= bi69 + l15.toBigInt)\n                    )} else { (coll46 == coll57) && (l43.toBigInt == bi69) } } else { placeholder[Boolean](37) } && (box71.propositionBytes == box14.R5[Coll[Byte]].get))) && (INPUTS(i53).id == coll49)) && (box47.propositionBytes == INPUTS(placeholder[Int](38)).propositionBytes), ((((((((coll75 == if (l76 >= l37) { coll2 } else { SELF.propositionBytes }) && (box61.R4[Coll[Byte]].get == coll2)) && (box61.R5[Coll[Long]].get == coll12)) && (box61.R6[Coll[Long]].get == coll36)) && (box61.R7[Coll[Byte]].get == coll18)) && (coll77(placeholder[Int](39)) == l76)) && (coll77(placeholder[Int](40)).toBigInt == l10.toBigInt + bi68)) && (coll77(placeholder[Int](41)) == l8 + placeholder[Long](42))) && if (coll75 == coll2) { placeholder[Boolean](43) } else { tuple64._1 == coll57 }))\n      )} } else { placeholder[Boolean](44) }) && sigmaProp(\n    (box14.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46)) && (((coll18, coll20) == tuple44) || ((coll20, coll18) == tuple44))\n  )\n}",
      "address": "2JhU6VoVfmAxjDRnfJxXp77vERh1cgiu7wXocpjLqVANTFH2F2WWiBDfh6eV1NFAxCXWYhvKjMgHZLKMGxadKhWbRJR2hYCaUwP1LfcWV6kqEJokSxf7Kk3TyG8Zgx43kRP7n2eXSmPQYbSghY3zKaFmmi618EJYxgdwMuse9PH16ukYfWz7KXqbjczJLUTMNa867nJ2KmhrMUYgLHBTBKh6taK2grAVN1XLGgRQsKGqDeksAHbocytvcyZYqmqApftSHZFuBt6AxjUZkpN5PvkZJT9VQjQiN1jSWXB4sijF1B79AFDJmvX2yMt1wav9Zd4C2HSuKDwKEeNgQVfixRh9eH3pftpsaG9aoCvrJz6gD4JPkbUFLiuHkRV8WUKvD99KkbbwU8aJszSWcRRR4jbnwKjuZ2wSL1QMUyBmwEi6rrb1i7bN5FCUtvSyU9AYdZhMELWEgF9P5UDSuMDWWbHfJnviyg7C2aUA6YWoGt7W2xPNPbHRCmBWkGUw18fyqRmMLpYiNnLdfBoZwn2ECxEcyj1JBNH7U88MiDnYwZp5EzTSTSTLvfAT2YRhd4qa3tvSLCgkwLAXa4FEui8gUfEQ2jrGBMjSe8L9qMusncpAywZhB5Q6VepENxstYAPyDEZqhCotuzCC3anJcq5LZzRsbEC8zKLxvV7uMqg5bUJdSdo472CG98DiRwAYgG6Qiia3JwVFX9bHu5y4XdDpEbvr73n7UEi3FMaPG9PPm4xedNryfSdR8dSdBm7Km2aBGcH4nLoTGnHXRkeGCFbfA3dcAGwLQGhq7N4JhaQ6LgRS32Q1Fo34xE73aunrHy5hhAWq9ykpz6Ao1ks8sgorVW23R7V87d6oy7rfhKo27FK6YYxvwS9reB2qKwPDRg3JPWGDemS1oTmxU95mg4HTQ4HjzBbTEJreUofLxUdgkkZGknFA1HGSJZHJ1BFui86C7CrUq1UbNQmq66n8aezkC332CPB9ddz7rLgFF7tomCKRWYibwKquVJ875a7svvsw3465hADbaQ6pX5adj1oUHWQZeKdfBHhipHYqZw17JUUBb1E9cNjZVWiaSB8vN89R6oWaebQhL24b9dUpmQrV7ANaJ9AFFZE4ocsQrVHiak1Y4tiHNuG5cT7kYfT2mNSB3p5wqFNu2DVmX4V8yQaxCBKKkhjFPjmmeErjtQCbXbBuV8CPt8b3Ak9jyaqL9WF6MUKTcFrDWnAgwdNtfXT7ibnKBWxrpvGTqr7oUZFsnVqdaCgUuYeGwyFM66yrYRr9SmU3bjUhhwazZQpAzzFQc4yos6e3PfYBCZd7aTjduNDUkLqV9GEM43cZtKpU25c4AWikiQqzeBAGPSYpPxtxtzKoN8izE8PekBMq5ejv7qoVzfMqJ9SWwN1MgVJj7wjyuJ98x1QQ8VX9scodhfU1Ff3MgZk7may2kefyER1qqTzwFZYTbYhDzRJdb98QEJz6b4aZiBpurueSpjXGo4qMzkfC9467DGRmwQCbBLN97nfJ2d8zgeihr6zLyDvLK7rNBGc6PVp9SEsv3cvxQrvVShYkAqxUxTFkbdfvzsrdGHanUaQ5zZX24GRxM2wb2GWUuZxkBcpVj6a5gKJrQtjyK7d3WADNoEcbcAYphgJf",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "1102bc0f8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[990,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,0]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      }
    },
    {
      "boxId": "891903b4357d93c3eb49c5f37128c1e53f526b36f751b6824f1dc378ff92f2aa",
      "value": 10200000000,
      "index": 4,
      "spendingProof": "1019cf6d38786635098540fbdfa2c8a078906aac9bb58f25d40aeffc770c35f9b15d43f1805edf54609725a5007b2f1e0d43a93d206fed3f",
      "outputBlockId": "35aec9f5835b5ea5ad99f2a1c65a243cf386558f35bf6df2327332712c865af9",
      "outputTransactionId": "a95ae69dd87cea8fbc7d848cb330619ad00faadaaef1d8a43f32c53cae9ee645",
      "outputIndex": 0,
      "outputGlobalIndex": 41327853,
      "outputCreatedAt": 1221473,
      "outputSettledAt": 1304113,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 1\n10: 2\n11: 0\n12: 0\n13: 0\n14: 4\n15: 0\n16: 0\n17: 3\n18: -1\n19: -1\n20: -1\n21: 1\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: 0\n29: CBigInt(1000)\n30: 1\n31: CBigInt(1000)\n32: -1\n33: -1\n34: 0\n35: 2\n36: CBigInt(0)\n37: true\n38: 1\n39: 0\n40: 1\n41: 2\n42: 1\n43: true\n44: false\n45: 0\n46: Coll(-94,81,-67,-108,126,35,-68,-50,-11,47,-73,-50,-51,61,99,-57,-22,32,-78,105,89,-82,-117,-105,-18,-21,-67,-109,56,-100,125,74)",
      "ergoTreeScript": "{\n  val opt1 = SELF.R4[Coll[Byte]]\n  val coll2 = opt1.get\n  val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](0)))\n  val opt4 = SELF.R5[Coll[Long]]\n  val opt5 = SELF.R6[Coll[Long]]\n  val opt6 = SELF.R7[Coll[Byte]]\n  val coll7 = SELF.R8[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1))\n  val l9 = coll7(placeholder[Int](2))\n  val l10 = coll7(placeholder[Int](3))\n  val l11 = CONTEXT.preHeader.timestamp\n  val coll12 = opt4.get\n  val coll13 = SELF.tokens\n  val box14 = CONTEXT.dataInputs(placeholder[Int](4))\n  val l15 = box14.R6[Long].get\n  val l16 = SELF.value\n  val coll17 = Coll[Byte]()\n  val coll18 = opt6.get\n  val tuple19 = coll13.getOrElse(placeholder[Int](5), (coll17, l16))\n  val coll20 = tuple19._1\n  val i21 = coll20.size\n  val bool22 = i21 == placeholder[Int](6)\n  val box23 = INPUTS(placeholder[Int](7))\n  val coll24 = box23.id\n  val coll25 = SELF.id\n  val bool26 = coll24 == coll25\n  val i27 = placeholder[Int](8)\n  val i28 = placeholder[Int](9)\n  val i29 = if (bool26) { i27 } else { i28 }\n  val i30 = i29 + placeholder[Int](10)\n  val box31 = OUTPUTS.getOrElse(i30, SELF)\n  val tuple32 = \n    val l32 = box31.value\n    val tuple33 = (coll17, l32)\n    tuple33\n  \n  val tuple33 = \n    val coll33 = box31.tokens\n    val tuple34 = (coll20, placeholder[Long](11))\n    val tuple35 = coll33.getOrElse(placeholder[Int](12), tuple34)\n    tuple35\n  \n  val tuple34 = if (bool22) { tuple32 } else { tuple33 }\n  val l35 = tuple34._2\n  val coll36 = opt5.get\n  val l37 = coll36(placeholder[Int](13))\n  val i38 = i29 + placeholder[Int](14)\n  val box39 = OUTPUTS.getOrElse(i38, SELF)\n  val tuple40 = \n    val l40 = box39.value\n    val tuple41 = (coll17, l40)\n    tuple41\n  \n  val tuple41 = \n    val coll41 = box39.tokens\n    val tuple42 = (coll20, placeholder[Long](15))\n    val tuple43 = coll41.getOrElse(placeholder[Int](16), tuple42)\n    tuple43\n  \n  val tuple42 = if (bool22) { tuple40 } else { tuple41 }\n  val l43 = tuple42._2\n  val tuple44 = box14.R7[(Coll[Byte], Coll[Byte])].get\n  val coll45 = box14.R4[Coll[Int]].get\n  val coll46 = tuple42._1\n  proveDlog(decodePoint(coll2.slice(placeholder[Int](17), coll2.size))) && sigmaProp(\n    ((((box3.R4[Coll[Byte]] == opt1) && (box3.R5[Coll[Long]] == opt4)) && (box3.R6[Coll[Long]] == opt5)) && (box3.R7[Coll[Byte]] == opt6)) && (\n      box3.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](18), placeholder[Long](19), placeholder[Long](20))) == Coll[Long](\n        l9, l10, l8 + placeholder[Long](21)\n      )\n    )\n  ) || sigmaProp(if (l11 > coll12(placeholder[Int](22))) { if (l11 > coll12(placeholder[Int](23))) {(\n        val box47 = OUTPUTS(placeholder[Int](24))\n        allOf(Coll[Boolean](box47.tokens == coll13, box47.value >= l16 - placeholder[Long](25) * l15, box47.propositionBytes == coll2))\n      )} else {(\n        val box47 = box23\n        val coll48 = coll24\n        val coll49 = coll25\n        val bool50 = bool26\n        val i51 = i27\n        val i52 = i28\n        val i53 = i29\n        val box54 = OUTPUTS.getOrElse(i53, SELF)\n        val tuple55 = box54.tokens.getOrElse(placeholder[Int](26), (coll17, box54.value))\n        val l56 = tuple55._2\n        val coll57 = coll20\n        val i58 = i21\n        val bool59 = bool22\n        val i60 = i30\n        val box61 = box31\n        val tuple62 = tuple32\n        val tuple63 = tuple33\n        val tuple64 = tuple34\n        val l65 = tuple19._2\n        val bi66 = coll36(placeholder[Int](27)) - l10.toBigInt\n        val bi67 = bi66 * l56.toBigInt / l37 - l9.toBigInt\n        val bi68 = if (bi67 > bi66) { bi66 } else { bi67 }\n        val bi69 = if (coll18 == tuple44._2) { bi68 * coll45(placeholder[Int](28)).toBigInt / placeholder[BigInt](29) } else { bi68 * coll45(placeholder[Int](30)).toBigInt / placeholder[BigInt](31) }\n        val i70 = i38\n        val box71 = box39\n        val tuple72 = tuple40\n        val tuple73 = tuple41\n        val tuple74 = tuple42\n        val coll75 = box61.propositionBytes\n        val l76 = l9 + l56\n        val coll77 = box61.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](32), placeholder[Long](33)))\n        allOf(Coll[Boolean](((((((l56 > placeholder[Long](34)) && (tuple55._1 == coll18)) && (if (bool59) {(\n                        val l78 = l35\n                        l65 - l78 - l15 * placeholder[Long](35)\n                      )} else { l65 - l35 }.toBigInt <= bi68 + l43.toBigInt)) && (box54.propositionBytes == coll2)) && (if (bi69 > placeholder[BigInt](36)) { if (bool59) {(\n                      val coll78 = coll46\n                      val l79 = l43\n                      ((coll78 == coll57) && (l79.toBigInt >= bi69)) && (l79.toBigInt <= bi69 + l15.toBigInt)\n                    )} else { (coll46 == coll57) && (l43.toBigInt == bi69) } } else { placeholder[Boolean](37) } && (box71.propositionBytes == box14.R5[Coll[Byte]].get))) && (INPUTS(i53).id == coll49)) && (box47.propositionBytes == INPUTS(placeholder[Int](38)).propositionBytes), ((((((((coll75 == if (l76 >= l37) { coll2 } else { SELF.propositionBytes }) && (box61.R4[Coll[Byte]].get == coll2)) && (box61.R5[Coll[Long]].get == coll12)) && (box61.R6[Coll[Long]].get == coll36)) && (box61.R7[Coll[Byte]].get == coll18)) && (coll77(placeholder[Int](39)) == l76)) && (coll77(placeholder[Int](40)).toBigInt == l10.toBigInt + bi68)) && (coll77(placeholder[Int](41)) == l8 + placeholder[Long](42))) && if (coll75 == coll2) { placeholder[Boolean](43) } else { tuple64._1 == coll57 }))\n      )} } else { placeholder[Boolean](44) }) && sigmaProp(\n    (box14.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46)) && (((coll18, coll20) == tuple44) || ((coll20, coll18) == tuple44))\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "1102a80f8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[980,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,0]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      }
    },
    {
      "boxId": "968149a24bcb9a422a2725bbc6a099ce1eb72774570c11752c3c72be58b21b83",
      "value": 10200000000,
      "index": 5,
      "spendingProof": "4f5cb651b167c776bcdd55bfd6de3a027f839cdc3ae7cf780b01fd3108d145a6f91e8a0ce2599cb8ad2edcb8eda3e0e272d97e1790dc77f2",
      "outputBlockId": "35aec9f5835b5ea5ad99f2a1c65a243cf386558f35bf6df2327332712c865af9",
      "outputTransactionId": "9bbfaf22f1102e824c9808293ee8ebcce67e97b0f3056d264e46adc523eb9754",
      "outputIndex": 0,
      "outputGlobalIndex": 41327841,
      "outputCreatedAt": 1221473,
      "outputSettledAt": 1304113,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 1\n10: 2\n11: 0\n12: 0\n13: 0\n14: 4\n15: 0\n16: 0\n17: 3\n18: -1\n19: -1\n20: -1\n21: 1\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: 0\n29: CBigInt(1000)\n30: 1\n31: CBigInt(1000)\n32: -1\n33: -1\n34: 0\n35: 2\n36: CBigInt(0)\n37: true\n38: 1\n39: 0\n40: 1\n41: 2\n42: 1\n43: true\n44: false\n45: 0\n46: Coll(-94,81,-67,-108,126,35,-68,-50,-11,47,-73,-50,-51,61,99,-57,-22,32,-78,105,89,-82,-117,-105,-18,-21,-67,-109,56,-100,125,74)",
      "ergoTreeScript": "{\n  val opt1 = SELF.R4[Coll[Byte]]\n  val coll2 = opt1.get\n  val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](0)))\n  val opt4 = SELF.R5[Coll[Long]]\n  val opt5 = SELF.R6[Coll[Long]]\n  val opt6 = SELF.R7[Coll[Byte]]\n  val coll7 = SELF.R8[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1))\n  val l9 = coll7(placeholder[Int](2))\n  val l10 = coll7(placeholder[Int](3))\n  val l11 = CONTEXT.preHeader.timestamp\n  val coll12 = opt4.get\n  val coll13 = SELF.tokens\n  val box14 = CONTEXT.dataInputs(placeholder[Int](4))\n  val l15 = box14.R6[Long].get\n  val l16 = SELF.value\n  val coll17 = Coll[Byte]()\n  val coll18 = opt6.get\n  val tuple19 = coll13.getOrElse(placeholder[Int](5), (coll17, l16))\n  val coll20 = tuple19._1\n  val i21 = coll20.size\n  val bool22 = i21 == placeholder[Int](6)\n  val box23 = INPUTS(placeholder[Int](7))\n  val coll24 = box23.id\n  val coll25 = SELF.id\n  val bool26 = coll24 == coll25\n  val i27 = placeholder[Int](8)\n  val i28 = placeholder[Int](9)\n  val i29 = if (bool26) { i27 } else { i28 }\n  val i30 = i29 + placeholder[Int](10)\n  val box31 = OUTPUTS.getOrElse(i30, SELF)\n  val tuple32 = \n    val l32 = box31.value\n    val tuple33 = (coll17, l32)\n    tuple33\n  \n  val tuple33 = \n    val coll33 = box31.tokens\n    val tuple34 = (coll20, placeholder[Long](11))\n    val tuple35 = coll33.getOrElse(placeholder[Int](12), tuple34)\n    tuple35\n  \n  val tuple34 = if (bool22) { tuple32 } else { tuple33 }\n  val l35 = tuple34._2\n  val coll36 = opt5.get\n  val l37 = coll36(placeholder[Int](13))\n  val i38 = i29 + placeholder[Int](14)\n  val box39 = OUTPUTS.getOrElse(i38, SELF)\n  val tuple40 = \n    val l40 = box39.value\n    val tuple41 = (coll17, l40)\n    tuple41\n  \n  val tuple41 = \n    val coll41 = box39.tokens\n    val tuple42 = (coll20, placeholder[Long](15))\n    val tuple43 = coll41.getOrElse(placeholder[Int](16), tuple42)\n    tuple43\n  \n  val tuple42 = if (bool22) { tuple40 } else { tuple41 }\n  val l43 = tuple42._2\n  val tuple44 = box14.R7[(Coll[Byte], Coll[Byte])].get\n  val coll45 = box14.R4[Coll[Int]].get\n  val coll46 = tuple42._1\n  proveDlog(decodePoint(coll2.slice(placeholder[Int](17), coll2.size))) && sigmaProp(\n    ((((box3.R4[Coll[Byte]] == opt1) && (box3.R5[Coll[Long]] == opt4)) && (box3.R6[Coll[Long]] == opt5)) && (box3.R7[Coll[Byte]] == opt6)) && (\n      box3.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](18), placeholder[Long](19), placeholder[Long](20))) == Coll[Long](\n        l9, l10, l8 + placeholder[Long](21)\n      )\n    )\n  ) || sigmaProp(if (l11 > coll12(placeholder[Int](22))) { if (l11 > coll12(placeholder[Int](23))) {(\n        val box47 = OUTPUTS(placeholder[Int](24))\n        allOf(Coll[Boolean](box47.tokens == coll13, box47.value >= l16 - placeholder[Long](25) * l15, box47.propositionBytes == coll2))\n      )} else {(\n        val box47 = box23\n        val coll48 = coll24\n        val coll49 = coll25\n        val bool50 = bool26\n        val i51 = i27\n        val i52 = i28\n        val i53 = i29\n        val box54 = OUTPUTS.getOrElse(i53, SELF)\n        val tuple55 = box54.tokens.getOrElse(placeholder[Int](26), (coll17, box54.value))\n        val l56 = tuple55._2\n        val coll57 = coll20\n        val i58 = i21\n        val bool59 = bool22\n        val i60 = i30\n        val box61 = box31\n        val tuple62 = tuple32\n        val tuple63 = tuple33\n        val tuple64 = tuple34\n        val l65 = tuple19._2\n        val bi66 = coll36(placeholder[Int](27)) - l10.toBigInt\n        val bi67 = bi66 * l56.toBigInt / l37 - l9.toBigInt\n        val bi68 = if (bi67 > bi66) { bi66 } else { bi67 }\n        val bi69 = if (coll18 == tuple44._2) { bi68 * coll45(placeholder[Int](28)).toBigInt / placeholder[BigInt](29) } else { bi68 * coll45(placeholder[Int](30)).toBigInt / placeholder[BigInt](31) }\n        val i70 = i38\n        val box71 = box39\n        val tuple72 = tuple40\n        val tuple73 = tuple41\n        val tuple74 = tuple42\n        val coll75 = box61.propositionBytes\n        val l76 = l9 + l56\n        val coll77 = box61.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](32), placeholder[Long](33)))\n        allOf(Coll[Boolean](((((((l56 > placeholder[Long](34)) && (tuple55._1 == coll18)) && (if (bool59) {(\n                        val l78 = l35\n                        l65 - l78 - l15 * placeholder[Long](35)\n                      )} else { l65 - l35 }.toBigInt <= bi68 + l43.toBigInt)) && (box54.propositionBytes == coll2)) && (if (bi69 > placeholder[BigInt](36)) { if (bool59) {(\n                      val coll78 = coll46\n                      val l79 = l43\n                      ((coll78 == coll57) && (l79.toBigInt >= bi69)) && (l79.toBigInt <= bi69 + l15.toBigInt)\n                    )} else { (coll46 == coll57) && (l43.toBigInt == bi69) } } else { placeholder[Boolean](37) } && (box71.propositionBytes == box14.R5[Coll[Byte]].get))) && (INPUTS(i53).id == coll49)) && (box47.propositionBytes == INPUTS(placeholder[Int](38)).propositionBytes), ((((((((coll75 == if (l76 >= l37) { coll2 } else { SELF.propositionBytes }) && (box61.R4[Coll[Byte]].get == coll2)) && (box61.R5[Coll[Long]].get == coll12)) && (box61.R6[Coll[Long]].get == coll36)) && (box61.R7[Coll[Byte]].get == coll18)) && (coll77(placeholder[Int](39)) == l76)) && (coll77(placeholder[Int](40)).toBigInt == l10.toBigInt + bi68)) && (coll77(placeholder[Int](41)) == l8 + placeholder[Long](42))) && if (coll75 == coll2) { placeholder[Boolean](43) } else { tuple64._1 == coll57 }))\n      )} } else { placeholder[Boolean](44) }) && sigmaProp(\n    (box14.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46)) && (((coll18, coll20) == tuple44) || ((coll20, coll18) == tuple44))\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "1102940f8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[970,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,0]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      }
    },
    {
      "boxId": "92055bbeb045998ed8c15b4dab76d02f8b6a691e5e5f033fa167d8b3fe6b6600",
      "value": 10200000000,
      "index": 6,
      "spendingProof": "199fb9b70ea75ed6ee9c904f83a908e370b2e648b53fce9726f0e8ec834709ec1c3562ea6128fdc14b87ae631cfa1743792789a9feac3b03",
      "outputBlockId": "35aec9f5835b5ea5ad99f2a1c65a243cf386558f35bf6df2327332712c865af9",
      "outputTransactionId": "df5e2f5b775a059d621e839ddc49173764fc5898d292360907c435b73d181ea2",
      "outputIndex": 0,
      "outputGlobalIndex": 41327838,
      "outputCreatedAt": 1221472,
      "outputSettledAt": 1304113,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 1\n10: 2\n11: 0\n12: 0\n13: 0\n14: 4\n15: 0\n16: 0\n17: 3\n18: -1\n19: -1\n20: -1\n21: 1\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: 0\n29: CBigInt(1000)\n30: 1\n31: CBigInt(1000)\n32: -1\n33: -1\n34: 0\n35: 2\n36: CBigInt(0)\n37: true\n38: 1\n39: 0\n40: 1\n41: 2\n42: 1\n43: true\n44: false\n45: 0\n46: Coll(-94,81,-67,-108,126,35,-68,-50,-11,47,-73,-50,-51,61,99,-57,-22,32,-78,105,89,-82,-117,-105,-18,-21,-67,-109,56,-100,125,74)",
      "ergoTreeScript": "{\n  val opt1 = SELF.R4[Coll[Byte]]\n  val coll2 = opt1.get\n  val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](0)))\n  val opt4 = SELF.R5[Coll[Long]]\n  val opt5 = SELF.R6[Coll[Long]]\n  val opt6 = SELF.R7[Coll[Byte]]\n  val coll7 = SELF.R8[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1))\n  val l9 = coll7(placeholder[Int](2))\n  val l10 = coll7(placeholder[Int](3))\n  val l11 = CONTEXT.preHeader.timestamp\n  val coll12 = opt4.get\n  val coll13 = SELF.tokens\n  val box14 = CONTEXT.dataInputs(placeholder[Int](4))\n  val l15 = box14.R6[Long].get\n  val l16 = SELF.value\n  val coll17 = Coll[Byte]()\n  val coll18 = opt6.get\n  val tuple19 = coll13.getOrElse(placeholder[Int](5), (coll17, l16))\n  val coll20 = tuple19._1\n  val i21 = coll20.size\n  val bool22 = i21 == placeholder[Int](6)\n  val box23 = INPUTS(placeholder[Int](7))\n  val coll24 = box23.id\n  val coll25 = SELF.id\n  val bool26 = coll24 == coll25\n  val i27 = placeholder[Int](8)\n  val i28 = placeholder[Int](9)\n  val i29 = if (bool26) { i27 } else { i28 }\n  val i30 = i29 + placeholder[Int](10)\n  val box31 = OUTPUTS.getOrElse(i30, SELF)\n  val tuple32 = \n    val l32 = box31.value\n    val tuple33 = (coll17, l32)\n    tuple33\n  \n  val tuple33 = \n    val coll33 = box31.tokens\n    val tuple34 = (coll20, placeholder[Long](11))\n    val tuple35 = coll33.getOrElse(placeholder[Int](12), tuple34)\n    tuple35\n  \n  val tuple34 = if (bool22) { tuple32 } else { tuple33 }\n  val l35 = tuple34._2\n  val coll36 = opt5.get\n  val l37 = coll36(placeholder[Int](13))\n  val i38 = i29 + placeholder[Int](14)\n  val box39 = OUTPUTS.getOrElse(i38, SELF)\n  val tuple40 = \n    val l40 = box39.value\n    val tuple41 = (coll17, l40)\n    tuple41\n  \n  val tuple41 = \n    val coll41 = box39.tokens\n    val tuple42 = (coll20, placeholder[Long](15))\n    val tuple43 = coll41.getOrElse(placeholder[Int](16), tuple42)\n    tuple43\n  \n  val tuple42 = if (bool22) { tuple40 } else { tuple41 }\n  val l43 = tuple42._2\n  val tuple44 = box14.R7[(Coll[Byte], Coll[Byte])].get\n  val coll45 = box14.R4[Coll[Int]].get\n  val coll46 = tuple42._1\n  proveDlog(decodePoint(coll2.slice(placeholder[Int](17), coll2.size))) && sigmaProp(\n    ((((box3.R4[Coll[Byte]] == opt1) && (box3.R5[Coll[Long]] == opt4)) && (box3.R6[Coll[Long]] == opt5)) && (box3.R7[Coll[Byte]] == opt6)) && (\n      box3.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](18), placeholder[Long](19), placeholder[Long](20))) == Coll[Long](\n        l9, l10, l8 + placeholder[Long](21)\n      )\n    )\n  ) || sigmaProp(if (l11 > coll12(placeholder[Int](22))) { if (l11 > coll12(placeholder[Int](23))) {(\n        val box47 = OUTPUTS(placeholder[Int](24))\n        allOf(Coll[Boolean](box47.tokens == coll13, box47.value >= l16 - placeholder[Long](25) * l15, box47.propositionBytes == coll2))\n      )} else {(\n        val box47 = box23\n        val coll48 = coll24\n        val coll49 = coll25\n        val bool50 = bool26\n        val i51 = i27\n        val i52 = i28\n        val i53 = i29\n        val box54 = OUTPUTS.getOrElse(i53, SELF)\n        val tuple55 = box54.tokens.getOrElse(placeholder[Int](26), (coll17, box54.value))\n        val l56 = tuple55._2\n        val coll57 = coll20\n        val i58 = i21\n        val bool59 = bool22\n        val i60 = i30\n        val box61 = box31\n        val tuple62 = tuple32\n        val tuple63 = tuple33\n        val tuple64 = tuple34\n        val l65 = tuple19._2\n        val bi66 = coll36(placeholder[Int](27)) - l10.toBigInt\n        val bi67 = bi66 * l56.toBigInt / l37 - l9.toBigInt\n        val bi68 = if (bi67 > bi66) { bi66 } else { bi67 }\n        val bi69 = if (coll18 == tuple44._2) { bi68 * coll45(placeholder[Int](28)).toBigInt / placeholder[BigInt](29) } else { bi68 * coll45(placeholder[Int](30)).toBigInt / placeholder[BigInt](31) }\n        val i70 = i38\n        val box71 = box39\n        val tuple72 = tuple40\n        val tuple73 = tuple41\n        val tuple74 = tuple42\n        val coll75 = box61.propositionBytes\n        val l76 = l9 + l56\n        val coll77 = box61.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](32), placeholder[Long](33)))\n        allOf(Coll[Boolean](((((((l56 > placeholder[Long](34)) && (tuple55._1 == coll18)) && (if (bool59) {(\n                        val l78 = l35\n                        l65 - l78 - l15 * placeholder[Long](35)\n                      )} else { l65 - l35 }.toBigInt <= bi68 + l43.toBigInt)) && (box54.propositionBytes == coll2)) && (if (bi69 > placeholder[BigInt](36)) { if (bool59) {(\n                      val coll78 = coll46\n                      val l79 = l43\n                      ((coll78 == coll57) && (l79.toBigInt >= bi69)) && (l79.toBigInt <= bi69 + l15.toBigInt)\n                    )} else { (coll46 == coll57) && (l43.toBigInt == bi69) } } else { placeholder[Boolean](37) } && (box71.propositionBytes == box14.R5[Coll[Byte]].get))) && (INPUTS(i53).id == coll49)) && (box47.propositionBytes == INPUTS(placeholder[Int](38)).propositionBytes), ((((((((coll75 == if (l76 >= l37) { coll2 } else { SELF.propositionBytes }) && (box61.R4[Coll[Byte]].get == coll2)) && (box61.R5[Coll[Long]].get == coll12)) && (box61.R6[Coll[Long]].get == coll36)) && (box61.R7[Coll[Byte]].get == coll18)) && (coll77(placeholder[Int](39)) == l76)) && (coll77(placeholder[Int](40)).toBigInt == l10.toBigInt + bi68)) && (coll77(placeholder[Int](41)) == l8 + placeholder[Long](42))) && if (coll75 == coll2) { placeholder[Boolean](43) } else { tuple64._1 == coll57 }))\n      )} } else { placeholder[Boolean](44) }) && sigmaProp(\n    (box14.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46)) && (((coll18, coll20) == tuple44) || ((coll20, coll18) == tuple44))\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "1102800f8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[960,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,0]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      }
    },
    {
      "boxId": "ccc4404e26c8b835ee4cfebda0da48f52e02c55140f872cbd28433e62f2b5ed9",
      "value": 10200000000,
      "index": 7,
      "spendingProof": "c899f5c5fb5b2fb81a20f3497e0461d492cc35d438ff3142a874a2bea2396d6083d24426fafcdf02c1f4580b4aecb1969f49713d33bd7410",
      "outputBlockId": "35aec9f5835b5ea5ad99f2a1c65a243cf386558f35bf6df2327332712c865af9",
      "outputTransactionId": "6b312139e06451063062d5d549f8980a6c03e9b1a765dfee351a2946c19c4610",
      "outputIndex": 0,
      "outputGlobalIndex": 41327835,
      "outputCreatedAt": 1221472,
      "outputSettledAt": 1304113,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 1\n10: 2\n11: 0\n12: 0\n13: 0\n14: 4\n15: 0\n16: 0\n17: 3\n18: -1\n19: -1\n20: -1\n21: 1\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: 0\n29: CBigInt(1000)\n30: 1\n31: CBigInt(1000)\n32: -1\n33: -1\n34: 0\n35: 2\n36: CBigInt(0)\n37: true\n38: 1\n39: 0\n40: 1\n41: 2\n42: 1\n43: true\n44: false\n45: 0\n46: Coll(-94,81,-67,-108,126,35,-68,-50,-11,47,-73,-50,-51,61,99,-57,-22,32,-78,105,89,-82,-117,-105,-18,-21,-67,-109,56,-100,125,74)",
      "ergoTreeScript": "{\n  val opt1 = SELF.R4[Coll[Byte]]\n  val coll2 = opt1.get\n  val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](0)))\n  val opt4 = SELF.R5[Coll[Long]]\n  val opt5 = SELF.R6[Coll[Long]]\n  val opt6 = SELF.R7[Coll[Byte]]\n  val coll7 = SELF.R8[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1))\n  val l9 = coll7(placeholder[Int](2))\n  val l10 = coll7(placeholder[Int](3))\n  val l11 = CONTEXT.preHeader.timestamp\n  val coll12 = opt4.get\n  val coll13 = SELF.tokens\n  val box14 = CONTEXT.dataInputs(placeholder[Int](4))\n  val l15 = box14.R6[Long].get\n  val l16 = SELF.value\n  val coll17 = Coll[Byte]()\n  val coll18 = opt6.get\n  val tuple19 = coll13.getOrElse(placeholder[Int](5), (coll17, l16))\n  val coll20 = tuple19._1\n  val i21 = coll20.size\n  val bool22 = i21 == placeholder[Int](6)\n  val box23 = INPUTS(placeholder[Int](7))\n  val coll24 = box23.id\n  val coll25 = SELF.id\n  val bool26 = coll24 == coll25\n  val i27 = placeholder[Int](8)\n  val i28 = placeholder[Int](9)\n  val i29 = if (bool26) { i27 } else { i28 }\n  val i30 = i29 + placeholder[Int](10)\n  val box31 = OUTPUTS.getOrElse(i30, SELF)\n  val tuple32 = \n    val l32 = box31.value\n    val tuple33 = (coll17, l32)\n    tuple33\n  \n  val tuple33 = \n    val coll33 = box31.tokens\n    val tuple34 = (coll20, placeholder[Long](11))\n    val tuple35 = coll33.getOrElse(placeholder[Int](12), tuple34)\n    tuple35\n  \n  val tuple34 = if (bool22) { tuple32 } else { tuple33 }\n  val l35 = tuple34._2\n  val coll36 = opt5.get\n  val l37 = coll36(placeholder[Int](13))\n  val i38 = i29 + placeholder[Int](14)\n  val box39 = OUTPUTS.getOrElse(i38, SELF)\n  val tuple40 = \n    val l40 = box39.value\n    val tuple41 = (coll17, l40)\n    tuple41\n  \n  val tuple41 = \n    val coll41 = box39.tokens\n    val tuple42 = (coll20, placeholder[Long](15))\n    val tuple43 = coll41.getOrElse(placeholder[Int](16), tuple42)\n    tuple43\n  \n  val tuple42 = if (bool22) { tuple40 } else { tuple41 }\n  val l43 = tuple42._2\n  val tuple44 = box14.R7[(Coll[Byte], Coll[Byte])].get\n  val coll45 = box14.R4[Coll[Int]].get\n  val coll46 = tuple42._1\n  proveDlog(decodePoint(coll2.slice(placeholder[Int](17), coll2.size))) && sigmaProp(\n    ((((box3.R4[Coll[Byte]] == opt1) && (box3.R5[Coll[Long]] == opt4)) && (box3.R6[Coll[Long]] == opt5)) && (box3.R7[Coll[Byte]] == opt6)) && (\n      box3.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](18), placeholder[Long](19), placeholder[Long](20))) == Coll[Long](\n        l9, l10, l8 + placeholder[Long](21)\n      )\n    )\n  ) || sigmaProp(if (l11 > coll12(placeholder[Int](22))) { if (l11 > coll12(placeholder[Int](23))) {(\n        val box47 = OUTPUTS(placeholder[Int](24))\n        allOf(Coll[Boolean](box47.tokens == coll13, box47.value >= l16 - placeholder[Long](25) * l15, box47.propositionBytes == coll2))\n      )} else {(\n        val box47 = box23\n        val coll48 = coll24\n        val coll49 = coll25\n        val bool50 = bool26\n        val i51 = i27\n        val i52 = i28\n        val i53 = i29\n        val box54 = OUTPUTS.getOrElse(i53, SELF)\n        val tuple55 = box54.tokens.getOrElse(placeholder[Int](26), (coll17, box54.value))\n        val l56 = tuple55._2\n        val coll57 = coll20\n        val i58 = i21\n        val bool59 = bool22\n        val i60 = i30\n        val box61 = box31\n        val tuple62 = tuple32\n        val tuple63 = tuple33\n        val tuple64 = tuple34\n        val l65 = tuple19._2\n        val bi66 = coll36(placeholder[Int](27)) - l10.toBigInt\n        val bi67 = bi66 * l56.toBigInt / l37 - l9.toBigInt\n        val bi68 = if (bi67 > bi66) { bi66 } else { bi67 }\n        val bi69 = if (coll18 == tuple44._2) { bi68 * coll45(placeholder[Int](28)).toBigInt / placeholder[BigInt](29) } else { bi68 * coll45(placeholder[Int](30)).toBigInt / placeholder[BigInt](31) }\n        val i70 = i38\n        val box71 = box39\n        val tuple72 = tuple40\n        val tuple73 = tuple41\n        val tuple74 = tuple42\n        val coll75 = box61.propositionBytes\n        val l76 = l9 + l56\n        val coll77 = box61.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](32), placeholder[Long](33)))\n        allOf(Coll[Boolean](((((((l56 > placeholder[Long](34)) && (tuple55._1 == coll18)) && (if (bool59) {(\n                        val l78 = l35\n                        l65 - l78 - l15 * placeholder[Long](35)\n                      )} else { l65 - l35 }.toBigInt <= bi68 + l43.toBigInt)) && (box54.propositionBytes == coll2)) && (if (bi69 > placeholder[BigInt](36)) { if (bool59) {(\n                      val coll78 = coll46\n                      val l79 = l43\n                      ((coll78 == coll57) && (l79.toBigInt >= bi69)) && (l79.toBigInt <= bi69 + l15.toBigInt)\n                    )} else { (coll46 == coll57) && (l43.toBigInt == bi69) } } else { placeholder[Boolean](37) } && (box71.propositionBytes == box14.R5[Coll[Byte]].get))) && (INPUTS(i53).id == coll49)) && (box47.propositionBytes == INPUTS(placeholder[Int](38)).propositionBytes), ((((((((coll75 == if (l76 >= l37) { coll2 } else { SELF.propositionBytes }) && (box61.R4[Coll[Byte]].get == coll2)) && (box61.R5[Coll[Long]].get == coll12)) && (box61.R6[Coll[Long]].get == coll36)) && (box61.R7[Coll[Byte]].get == coll18)) && (coll77(placeholder[Int](39)) == l76)) && (coll77(placeholder[Int](40)).toBigInt == l10.toBigInt + bi68)) && (coll77(placeholder[Int](41)) == l8 + placeholder[Long](42))) && if (coll75 == coll2) { placeholder[Boolean](43) } else { tuple64._1 == coll57 }))\n      )} } else { placeholder[Boolean](44) }) && sigmaProp(\n    (box14.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46)) && (((coll18, coll20) == tuple44) || ((coll20, coll18) == tuple44))\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "1102ec0e8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[950,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,0]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      }
    },
    {
      "boxId": "086272973a87cada1c5de5a3477cd6fd53c63a0848aea17b36a2872bc02bc3f4",
      "value": 10200000000,
      "index": 8,
      "spendingProof": "6666f9d8c70c1659ecf514de966db9b7105c33996a4cb8f876a2aeda3d24c057f8b6df103b43c4157f1ed5e4f37c68b97351605d09cddf23",
      "outputBlockId": "35aec9f5835b5ea5ad99f2a1c65a243cf386558f35bf6df2327332712c865af9",
      "outputTransactionId": "5b51bc85a716f5536ee857d5b8d40eaa1adb77012b648c4588393a7c0853971c",
      "outputIndex": 0,
      "outputGlobalIndex": 41327832,
      "outputCreatedAt": 1221472,
      "outputSettledAt": 1304113,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 1\n10: 2\n11: 0\n12: 0\n13: 0\n14: 4\n15: 0\n16: 0\n17: 3\n18: -1\n19: -1\n20: -1\n21: 1\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: 0\n29: CBigInt(1000)\n30: 1\n31: CBigInt(1000)\n32: -1\n33: -1\n34: 0\n35: 2\n36: CBigInt(0)\n37: true\n38: 1\n39: 0\n40: 1\n41: 2\n42: 1\n43: true\n44: false\n45: 0\n46: Coll(-94,81,-67,-108,126,35,-68,-50,-11,47,-73,-50,-51,61,99,-57,-22,32,-78,105,89,-82,-117,-105,-18,-21,-67,-109,56,-100,125,74)",
      "ergoTreeScript": "{\n  val opt1 = SELF.R4[Coll[Byte]]\n  val coll2 = opt1.get\n  val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](0)))\n  val opt4 = SELF.R5[Coll[Long]]\n  val opt5 = SELF.R6[Coll[Long]]\n  val opt6 = SELF.R7[Coll[Byte]]\n  val coll7 = SELF.R8[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1))\n  val l9 = coll7(placeholder[Int](2))\n  val l10 = coll7(placeholder[Int](3))\n  val l11 = CONTEXT.preHeader.timestamp\n  val coll12 = opt4.get\n  val coll13 = SELF.tokens\n  val box14 = CONTEXT.dataInputs(placeholder[Int](4))\n  val l15 = box14.R6[Long].get\n  val l16 = SELF.value\n  val coll17 = Coll[Byte]()\n  val coll18 = opt6.get\n  val tuple19 = coll13.getOrElse(placeholder[Int](5), (coll17, l16))\n  val coll20 = tuple19._1\n  val i21 = coll20.size\n  val bool22 = i21 == placeholder[Int](6)\n  val box23 = INPUTS(placeholder[Int](7))\n  val coll24 = box23.id\n  val coll25 = SELF.id\n  val bool26 = coll24 == coll25\n  val i27 = placeholder[Int](8)\n  val i28 = placeholder[Int](9)\n  val i29 = if (bool26) { i27 } else { i28 }\n  val i30 = i29 + placeholder[Int](10)\n  val box31 = OUTPUTS.getOrElse(i30, SELF)\n  val tuple32 = \n    val l32 = box31.value\n    val tuple33 = (coll17, l32)\n    tuple33\n  \n  val tuple33 = \n    val coll33 = box31.tokens\n    val tuple34 = (coll20, placeholder[Long](11))\n    val tuple35 = coll33.getOrElse(placeholder[Int](12), tuple34)\n    tuple35\n  \n  val tuple34 = if (bool22) { tuple32 } else { tuple33 }\n  val l35 = tuple34._2\n  val coll36 = opt5.get\n  val l37 = coll36(placeholder[Int](13))\n  val i38 = i29 + placeholder[Int](14)\n  val box39 = OUTPUTS.getOrElse(i38, SELF)\n  val tuple40 = \n    val l40 = box39.value\n    val tuple41 = (coll17, l40)\n    tuple41\n  \n  val tuple41 = \n    val coll41 = box39.tokens\n    val tuple42 = (coll20, placeholder[Long](15))\n    val tuple43 = coll41.getOrElse(placeholder[Int](16), tuple42)\n    tuple43\n  \n  val tuple42 = if (bool22) { tuple40 } else { tuple41 }\n  val l43 = tuple42._2\n  val tuple44 = box14.R7[(Coll[Byte], Coll[Byte])].get\n  val coll45 = box14.R4[Coll[Int]].get\n  val coll46 = tuple42._1\n  proveDlog(decodePoint(coll2.slice(placeholder[Int](17), coll2.size))) && sigmaProp(\n    ((((box3.R4[Coll[Byte]] == opt1) && (box3.R5[Coll[Long]] == opt4)) && (box3.R6[Coll[Long]] == opt5)) && (box3.R7[Coll[Byte]] == opt6)) && (\n      box3.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](18), placeholder[Long](19), placeholder[Long](20))) == Coll[Long](\n        l9, l10, l8 + placeholder[Long](21)\n      )\n    )\n  ) || sigmaProp(if (l11 > coll12(placeholder[Int](22))) { if (l11 > coll12(placeholder[Int](23))) {(\n        val box47 = OUTPUTS(placeholder[Int](24))\n        allOf(Coll[Boolean](box47.tokens == coll13, box47.value >= l16 - placeholder[Long](25) * l15, box47.propositionBytes == coll2))\n      )} else {(\n        val box47 = box23\n        val coll48 = coll24\n        val coll49 = coll25\n        val bool50 = bool26\n        val i51 = i27\n        val i52 = i28\n        val i53 = i29\n        val box54 = OUTPUTS.getOrElse(i53, SELF)\n        val tuple55 = box54.tokens.getOrElse(placeholder[Int](26), (coll17, box54.value))\n        val l56 = tuple55._2\n        val coll57 = coll20\n        val i58 = i21\n        val bool59 = bool22\n        val i60 = i30\n        val box61 = box31\n        val tuple62 = tuple32\n        val tuple63 = tuple33\n        val tuple64 = tuple34\n        val l65 = tuple19._2\n        val bi66 = coll36(placeholder[Int](27)) - l10.toBigInt\n        val bi67 = bi66 * l56.toBigInt / l37 - l9.toBigInt\n        val bi68 = if (bi67 > bi66) { bi66 } else { bi67 }\n        val bi69 = if (coll18 == tuple44._2) { bi68 * coll45(placeholder[Int](28)).toBigInt / placeholder[BigInt](29) } else { bi68 * coll45(placeholder[Int](30)).toBigInt / placeholder[BigInt](31) }\n        val i70 = i38\n        val box71 = box39\n        val tuple72 = tuple40\n        val tuple73 = tuple41\n        val tuple74 = tuple42\n        val coll75 = box61.propositionBytes\n        val l76 = l9 + l56\n        val coll77 = box61.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](32), placeholder[Long](33)))\n        allOf(Coll[Boolean](((((((l56 > placeholder[Long](34)) && (tuple55._1 == coll18)) && (if (bool59) {(\n                        val l78 = l35\n                        l65 - l78 - l15 * placeholder[Long](35)\n                      )} else { l65 - l35 }.toBigInt <= bi68 + l43.toBigInt)) && (box54.propositionBytes == coll2)) && (if (bi69 > placeholder[BigInt](36)) { if (bool59) {(\n                      val coll78 = coll46\n                      val l79 = l43\n                      ((coll78 == coll57) && (l79.toBigInt >= bi69)) && (l79.toBigInt <= bi69 + l15.toBigInt)\n                    )} else { (coll46 == coll57) && (l43.toBigInt == bi69) } } else { placeholder[Boolean](37) } && (box71.propositionBytes == box14.R5[Coll[Byte]].get))) && (INPUTS(i53).id == coll49)) && (box47.propositionBytes == INPUTS(placeholder[Int](38)).propositionBytes), ((((((((coll75 == if (l76 >= l37) { coll2 } else { SELF.propositionBytes }) && (box61.R4[Coll[Byte]].get == coll2)) && (box61.R5[Coll[Long]].get == coll12)) && (box61.R6[Coll[Long]].get == coll36)) && (box61.R7[Coll[Byte]].get == coll18)) && (coll77(placeholder[Int](39)) == l76)) && (coll77(placeholder[Int](40)).toBigInt == l10.toBigInt + bi68)) && (coll77(placeholder[Int](41)) == l8 + placeholder[Long](42))) && if (coll75 == coll2) { placeholder[Boolean](43) } else { tuple64._1 == coll57 }))\n      )} } else { placeholder[Boolean](44) }) && sigmaProp(\n    (box14.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46)) && (((coll18, coll20) == tuple44) || ((coll20, coll18) == tuple44))\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "1102d80e8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[940,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,0]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      }
    },
    {
      "boxId": "00c44dc10109b6ec4bd2b9fa287cf7d469e288e971becdb62df9523e54b5a098",
      "value": 10200000000,
      "index": 9,
      "spendingProof": "af86b3ab480d647f2e83abf421c46f88e60f2665c8c0398ab7dcd9025420c2e010f09db6f3f2ab8a36b9a3a2841d36882d3ce95f4c712d73",
      "outputBlockId": "35aec9f5835b5ea5ad99f2a1c65a243cf386558f35bf6df2327332712c865af9",
      "outputTransactionId": "f3152509801d3356e314ff80e87ea7af95ea6b7679adda652589506747f23262",
      "outputIndex": 0,
      "outputGlobalIndex": 41327829,
      "outputCreatedAt": 1221472,
      "outputSettledAt": 1304113,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 1\n10: 2\n11: 0\n12: 0\n13: 0\n14: 4\n15: 0\n16: 0\n17: 3\n18: -1\n19: -1\n20: -1\n21: 1\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 1\n28: 0\n29: CBigInt(1000)\n30: 1\n31: CBigInt(1000)\n32: -1\n33: -1\n34: 0\n35: 2\n36: CBigInt(0)\n37: true\n38: 1\n39: 0\n40: 1\n41: 2\n42: 1\n43: true\n44: false\n45: 0\n46: Coll(-94,81,-67,-108,126,35,-68,-50,-11,47,-73,-50,-51,61,99,-57,-22,32,-78,105,89,-82,-117,-105,-18,-21,-67,-109,56,-100,125,74)",
      "ergoTreeScript": "{\n  val opt1 = SELF.R4[Coll[Byte]]\n  val coll2 = opt1.get\n  val box3 = OUTPUTS(INPUTS.indexOf(SELF, placeholder[Int](0)))\n  val opt4 = SELF.R5[Coll[Long]]\n  val opt5 = SELF.R6[Coll[Long]]\n  val opt6 = SELF.R7[Coll[Byte]]\n  val coll7 = SELF.R8[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1))\n  val l9 = coll7(placeholder[Int](2))\n  val l10 = coll7(placeholder[Int](3))\n  val l11 = CONTEXT.preHeader.timestamp\n  val coll12 = opt4.get\n  val coll13 = SELF.tokens\n  val box14 = CONTEXT.dataInputs(placeholder[Int](4))\n  val l15 = box14.R6[Long].get\n  val l16 = SELF.value\n  val coll17 = Coll[Byte]()\n  val coll18 = opt6.get\n  val tuple19 = coll13.getOrElse(placeholder[Int](5), (coll17, l16))\n  val coll20 = tuple19._1\n  val i21 = coll20.size\n  val bool22 = i21 == placeholder[Int](6)\n  val box23 = INPUTS(placeholder[Int](7))\n  val coll24 = box23.id\n  val coll25 = SELF.id\n  val bool26 = coll24 == coll25\n  val i27 = placeholder[Int](8)\n  val i28 = placeholder[Int](9)\n  val i29 = if (bool26) { i27 } else { i28 }\n  val i30 = i29 + placeholder[Int](10)\n  val box31 = OUTPUTS.getOrElse(i30, SELF)\n  val tuple32 = \n    val l32 = box31.value\n    val tuple33 = (coll17, l32)\n    tuple33\n  \n  val tuple33 = \n    val coll33 = box31.tokens\n    val tuple34 = (coll20, placeholder[Long](11))\n    val tuple35 = coll33.getOrElse(placeholder[Int](12), tuple34)\n    tuple35\n  \n  val tuple34 = if (bool22) { tuple32 } else { tuple33 }\n  val l35 = tuple34._2\n  val coll36 = opt5.get\n  val l37 = coll36(placeholder[Int](13))\n  val i38 = i29 + placeholder[Int](14)\n  val box39 = OUTPUTS.getOrElse(i38, SELF)\n  val tuple40 = \n    val l40 = box39.value\n    val tuple41 = (coll17, l40)\n    tuple41\n  \n  val tuple41 = \n    val coll41 = box39.tokens\n    val tuple42 = (coll20, placeholder[Long](15))\n    val tuple43 = coll41.getOrElse(placeholder[Int](16), tuple42)\n    tuple43\n  \n  val tuple42 = if (bool22) { tuple40 } else { tuple41 }\n  val l43 = tuple42._2\n  val tuple44 = box14.R7[(Coll[Byte], Coll[Byte])].get\n  val coll45 = box14.R4[Coll[Int]].get\n  val coll46 = tuple42._1\n  proveDlog(decodePoint(coll2.slice(placeholder[Int](17), coll2.size))) && sigmaProp(\n    ((((box3.R4[Coll[Byte]] == opt1) && (box3.R5[Coll[Long]] == opt4)) && (box3.R6[Coll[Long]] == opt5)) && (box3.R7[Coll[Byte]] == opt6)) && (\n      box3.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](18), placeholder[Long](19), placeholder[Long](20))) == Coll[Long](\n        l9, l10, l8 + placeholder[Long](21)\n      )\n    )\n  ) || sigmaProp(if (l11 > coll12(placeholder[Int](22))) { if (l11 > coll12(placeholder[Int](23))) {(\n        val box47 = OUTPUTS(placeholder[Int](24))\n        allOf(Coll[Boolean](box47.tokens == coll13, box47.value >= l16 - placeholder[Long](25) * l15, box47.propositionBytes == coll2))\n      )} else {(\n        val box47 = box23\n        val coll48 = coll24\n        val coll49 = coll25\n        val bool50 = bool26\n        val i51 = i27\n        val i52 = i28\n        val i53 = i29\n        val box54 = OUTPUTS.getOrElse(i53, SELF)\n        val tuple55 = box54.tokens.getOrElse(placeholder[Int](26), (coll17, box54.value))\n        val l56 = tuple55._2\n        val coll57 = coll20\n        val i58 = i21\n        val bool59 = bool22\n        val i60 = i30\n        val box61 = box31\n        val tuple62 = tuple32\n        val tuple63 = tuple33\n        val tuple64 = tuple34\n        val l65 = tuple19._2\n        val bi66 = coll36(placeholder[Int](27)) - l10.toBigInt\n        val bi67 = bi66 * l56.toBigInt / l37 - l9.toBigInt\n        val bi68 = if (bi67 > bi66) { bi66 } else { bi67 }\n        val bi69 = if (coll18 == tuple44._2) { bi68 * coll45(placeholder[Int](28)).toBigInt / placeholder[BigInt](29) } else { bi68 * coll45(placeholder[Int](30)).toBigInt / placeholder[BigInt](31) }\n        val i70 = i38\n        val box71 = box39\n        val tuple72 = tuple40\n        val tuple73 = tuple41\n        val tuple74 = tuple42\n        val coll75 = box61.propositionBytes\n        val l76 = l9 + l56\n        val coll77 = box61.R8[Coll[Long]].getOrElse(Coll[Long](placeholder[Long](32), placeholder[Long](33)))\n        allOf(Coll[Boolean](((((((l56 > placeholder[Long](34)) && (tuple55._1 == coll18)) && (if (bool59) {(\n                        val l78 = l35\n                        l65 - l78 - l15 * placeholder[Long](35)\n                      )} else { l65 - l35 }.toBigInt <= bi68 + l43.toBigInt)) && (box54.propositionBytes == coll2)) && (if (bi69 > placeholder[BigInt](36)) { if (bool59) {(\n                      val coll78 = coll46\n                      val l79 = l43\n                      ((coll78 == coll57) && (l79.toBigInt >= bi69)) && (l79.toBigInt <= bi69 + l15.toBigInt)\n                    )} else { (coll46 == coll57) && (l43.toBigInt == bi69) } } else { placeholder[Boolean](37) } && (box71.propositionBytes == box14.R5[Coll[Byte]].get))) && (INPUTS(i53).id == coll49)) && (box47.propositionBytes == INPUTS(placeholder[Int](38)).propositionBytes), ((((((((coll75 == if (l76 >= l37) { coll2 } else { SELF.propositionBytes }) && (box61.R4[Coll[Byte]].get == coll2)) && (box61.R5[Coll[Long]].get == coll12)) && (box61.R6[Coll[Long]].get == coll36)) && (box61.R7[Coll[Byte]].get == coll18)) && (coll77(placeholder[Int](39)) == l76)) && (coll77(placeholder[Int](40)).toBigInt == l10.toBigInt + bi68)) && (coll77(placeholder[Int](41)) == l8 + placeholder[Long](42))) && if (coll75 == coll2) { placeholder[Boolean](43) } else { tuple64._1 == coll57 }))\n      )} } else { placeholder[Boolean](44) }) && sigmaProp(\n    (box14.tokens(placeholder[Int](45))._1 == placeholder[Coll[Byte]](46)) && (((coll18, coll20) == tuple44) || ((coll20, coll18) == tuple44))\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "1102c40e8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[930,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,0]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      }
    }
  ],
  "dataInputs": [
    {
      "boxId": "ca84463b80e9dbea541e288f6570331a316422c15e32c6000f2514117843796c",
      "value": 9000000,
      "index": 0,
      "outputBlockId": "c63e0754d05150974f47d598d225277db39838813b34e602ce212d20ab5f737a",
      "outputTransactionId": "80bfed315535b80f4265ee7ddd071d47518f5f4ca4cfd5e6b4a43c639cb8ccbf",
      "outputIndex": 0,
      "ergoTree": "0008cd03b04048a9708f0a2b109d75513a2483e3b9ede622efb3cc03bdddf93bccd93ac5",
      "address": "9hoRnjysKfkwZSCgSFNzSXMohwYn8DqruuYxD6vT7Ubw55qnwiZ",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "10021414",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[10,10]"
        },
        "R5": {
          "serializedValue": "0e240008cd02055d75e110bd457cf5ff274f00c4a2809affbe7e22689932d3248e5673fe2f2d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02055d75e110bd457cf5ff274f00c4a2809affbe7e22689932d3248e5673fe2f2d"
        },
        "R6": {
          "serializedValue": "0580dac409",
          "sigmaType": "SLong",
          "renderedValue": "10000000"
        },
        "R7": {
          "serializedValue": "3c0e0e002003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "(Coll[SByte], Coll[SByte])",
          "renderedValue": "[,03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04]"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "a9224f61c53ae8e34d18140d23e24ae167f1f02eb67faea2dc6038a770f08033",
      "transactionId": "a0f770da4191a7c04aa8ee320ffcdbf7fddf02cf031431d6b8f1d895028cffe5",
      "blockId": "032095a1dcf9b7fefa87dc3e3aea5497a450f4f93d8b861bd153e08157669107",
      "value": 10198000000,
      "index": 0,
      "globalIndex": 41328199,
      "creationHeight": 1221474,
      "settlementHeight": 1304131,
      "ergoTree": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b55b48,7e2ceb,...)))}",
      "address": "9hqgCf74DNGBJLTd9D6Mu7apFu6H7jzSjrS5wVp7pigbLqvqbDB",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "11029c0e8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[910,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,1]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      },
      "spentTransactionId": "991da62131d9247ebc2924decd5c4b6ba35b7008dbcc6fdedf320a627f8c5ea2",
      "mainChain": true
    },
    {
      "boxId": "3d767944ff97c1eb5536b53c212b258a4bf5cfce88041ec395cfacd9baf9baba",
      "transactionId": "a0f770da4191a7c04aa8ee320ffcdbf7fddf02cf031431d6b8f1d895028cffe5",
      "blockId": "032095a1dcf9b7fefa87dc3e3aea5497a450f4f93d8b861bd153e08157669107",
      "value": 10198000000,
      "index": 1,
      "globalIndex": 41328200,
      "creationHeight": 1221474,
      "settlementHeight": 1304131,
      "ergoTree": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b55b48,7e2ceb,...)))}",
      "address": "9hqgCf74DNGBJLTd9D6Mu7apFu6H7jzSjrS5wVp7pigbLqvqbDB",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "1102b00e8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[920,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,1]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      },
      "spentTransactionId": "991da62131d9247ebc2924decd5c4b6ba35b7008dbcc6fdedf320a627f8c5ea2",
      "mainChain": true
    },
    {
      "boxId": "824e11cecd58f5009e827ae9c7a5ce421c7d6144eb3635a52a7f97a940adf61e",
      "transactionId": "a0f770da4191a7c04aa8ee320ffcdbf7fddf02cf031431d6b8f1d895028cffe5",
      "blockId": "032095a1dcf9b7fefa87dc3e3aea5497a450f4f93d8b861bd153e08157669107",
      "value": 10198000000,
      "index": 2,
      "globalIndex": 41328201,
      "creationHeight": 1221474,
      "settlementHeight": 1304131,
      "ergoTree": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b55b48,7e2ceb,...)))}",
      "address": "9hqgCf74DNGBJLTd9D6Mu7apFu6H7jzSjrS5wVp7pigbLqvqbDB",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "1102d00f8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1000,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,1]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      },
      "spentTransactionId": "f7d2804e2f38bd9ca9328e0fd6bfa0b48a9fbe7b0ece9702eb3119150d9f52e7",
      "mainChain": true
    },
    {
      "boxId": "a963a39bac701e900e9087b4b7b16c9c3a2cb437e555be713390075b143c086f",
      "transactionId": "a0f770da4191a7c04aa8ee320ffcdbf7fddf02cf031431d6b8f1d895028cffe5",
      "blockId": "032095a1dcf9b7fefa87dc3e3aea5497a450f4f93d8b861bd153e08157669107",
      "value": 10198000000,
      "index": 3,
      "globalIndex": 41328202,
      "creationHeight": 1221474,
      "settlementHeight": 1304131,
      "ergoTree": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b55b48,7e2ceb,...)))}",
      "address": "9hqgCf74DNGBJLTd9D6Mu7apFu6H7jzSjrS5wVp7pigbLqvqbDB",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "1102bc0f8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[990,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,1]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      },
      "spentTransactionId": "f7d2804e2f38bd9ca9328e0fd6bfa0b48a9fbe7b0ece9702eb3119150d9f52e7",
      "mainChain": true
    },
    {
      "boxId": "40eec9a9edf4a7cd92e657c150881b909515969ceb45993fb06969230702be3b",
      "transactionId": "a0f770da4191a7c04aa8ee320ffcdbf7fddf02cf031431d6b8f1d895028cffe5",
      "blockId": "032095a1dcf9b7fefa87dc3e3aea5497a450f4f93d8b861bd153e08157669107",
      "value": 10198000000,
      "index": 4,
      "globalIndex": 41328203,
      "creationHeight": 1221474,
      "settlementHeight": 1304131,
      "ergoTree": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b55b48,7e2ceb,...)))}",
      "address": "9hqgCf74DNGBJLTd9D6Mu7apFu6H7jzSjrS5wVp7pigbLqvqbDB",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "1102a80f8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[980,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,1]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      },
      "spentTransactionId": "21bbbad2472ea0676668b291a9e456f107a387d91bfa5aa3b3ff047e2303e3ce",
      "mainChain": true
    },
    {
      "boxId": "90df621caa120c9aebb26df32c42882453b65ef3aa8b5ca8e939b316ae8a3f7a",
      "transactionId": "a0f770da4191a7c04aa8ee320ffcdbf7fddf02cf031431d6b8f1d895028cffe5",
      "blockId": "032095a1dcf9b7fefa87dc3e3aea5497a450f4f93d8b861bd153e08157669107",
      "value": 10198000000,
      "index": 5,
      "globalIndex": 41328204,
      "creationHeight": 1221474,
      "settlementHeight": 1304131,
      "ergoTree": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b55b48,7e2ceb,...)))}",
      "address": "9hqgCf74DNGBJLTd9D6Mu7apFu6H7jzSjrS5wVp7pigbLqvqbDB",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "1102940f8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[970,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,1]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      },
      "spentTransactionId": "21bbbad2472ea0676668b291a9e456f107a387d91bfa5aa3b3ff047e2303e3ce",
      "mainChain": true
    },
    {
      "boxId": "44d68ab87704e2d5eb2a5904f2886a3884923e405c73ca056734fadc4ee9e653",
      "transactionId": "a0f770da4191a7c04aa8ee320ffcdbf7fddf02cf031431d6b8f1d895028cffe5",
      "blockId": "032095a1dcf9b7fefa87dc3e3aea5497a450f4f93d8b861bd153e08157669107",
      "value": 10198000000,
      "index": 6,
      "globalIndex": 41328205,
      "creationHeight": 1221474,
      "settlementHeight": 1304131,
      "ergoTree": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b55b48,7e2ceb,...)))}",
      "address": "9hqgCf74DNGBJLTd9D6Mu7apFu6H7jzSjrS5wVp7pigbLqvqbDB",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "1102800f8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[960,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,1]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      },
      "spentTransactionId": "604fd8d36d4bbc1de4b0a87e60d0047f92e3507b1701a649c4964a7dcbba0d87",
      "mainChain": true
    },
    {
      "boxId": "334749a6b1f0c79be949406101d1552444b92bbfd3a49c37cbb7067580c7a7b9",
      "transactionId": "a0f770da4191a7c04aa8ee320ffcdbf7fddf02cf031431d6b8f1d895028cffe5",
      "blockId": "032095a1dcf9b7fefa87dc3e3aea5497a450f4f93d8b861bd153e08157669107",
      "value": 10198000000,
      "index": 7,
      "globalIndex": 41328206,
      "creationHeight": 1221474,
      "settlementHeight": 1304131,
      "ergoTree": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b55b48,7e2ceb,...)))}",
      "address": "9hqgCf74DNGBJLTd9D6Mu7apFu6H7jzSjrS5wVp7pigbLqvqbDB",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "1102ec0e8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[950,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,1]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      },
      "spentTransactionId": "604fd8d36d4bbc1de4b0a87e60d0047f92e3507b1701a649c4964a7dcbba0d87",
      "mainChain": true
    },
    {
      "boxId": "22ba854e680a90f11fe1be7e63b750f72a66cd26af574e4d81e92ba1b280aebf",
      "transactionId": "a0f770da4191a7c04aa8ee320ffcdbf7fddf02cf031431d6b8f1d895028cffe5",
      "blockId": "032095a1dcf9b7fefa87dc3e3aea5497a450f4f93d8b861bd153e08157669107",
      "value": 10198000000,
      "index": 8,
      "globalIndex": 41328207,
      "creationHeight": 1221474,
      "settlementHeight": 1304131,
      "ergoTree": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b55b48,7e2ceb,...)))}",
      "address": "9hqgCf74DNGBJLTd9D6Mu7apFu6H7jzSjrS5wVp7pigbLqvqbDB",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "1102d80e8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[940,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,1]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      },
      "spentTransactionId": "cb2197d1cc47e20a642e0799744c21844643b4e85df1295aca223dab8f03de52",
      "mainChain": true
    },
    {
      "boxId": "548e9cc2fb739b813ea0644bcca55a519d57139c548e8413e2ed814fe11cf200",
      "transactionId": "a0f770da4191a7c04aa8ee320ffcdbf7fddf02cf031431d6b8f1d895028cffe5",
      "blockId": "032095a1dcf9b7fefa87dc3e3aea5497a450f4f93d8b861bd153e08157669107",
      "value": 10198000000,
      "index": 9,
      "globalIndex": 41328208,
      "creationHeight": 1221474,
      "settlementHeight": 1304131,
      "ergoTree": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b55b48,7e2ceb,...)))}",
      "address": "9hqgCf74DNGBJLTd9D6Mu7apFu6H7jzSjrS5wVp7pigbLqvqbDB",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1102008080d0d88bdea2e302",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,100000000000000000]"
        },
        "R6": {
          "serializedValue": "1102c40e8090dfc04a",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[930,10000000000]"
        },
        "R8": {
          "serializedValue": "1103000002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0,1]"
        },
        "R7": {
          "serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
        },
        "R4": {
          "serializedValue": "0e240008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03b55b48a73f4a5eea270f8a20465e032a3ab9d2b1b2885e72c8225955939844c1"
        }
      },
      "spentTransactionId": "cb2197d1cc47e20a642e0799744c21844643b4e85df1295aca223dab8f03de52",
      "mainChain": true
    },
    {
      "boxId": "8cf8eda1d08ca4c2e470f944ffa7787327b37869080e21455d06f20271b4e0ab",
      "transactionId": "a0f770da4191a7c04aa8ee320ffcdbf7fddf02cf031431d6b8f1d895028cffe5",
      "blockId": "032095a1dcf9b7fefa87dc3e3aea5497a450f4f93d8b861bd153e08157669107",
      "value": 20000000,
      "index": 10,
      "globalIndex": 41328209,
      "creationHeight": 1221474,
      "settlementHeight": 1304131,
      "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": "c98fa6fefe01e9428b9c96fa5cffef7ecfa179ef80a676cb196a54777e7969c0",
      "mainChain": true
    }
  ],
  "size": 2490,
  "isUnconfirmed": false
}