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Transaction

6/21/2022 09:31:33 PM
ID: 4e62fbc4eb...e399
Inputs (4)
#0
bfae7e81588c...a273
Spent
Address:
721jRBm8dr7g...a85D
Output transaction:
b4998e8c09c5...b496
Settlement height:
777,093
Value:
0.001 ERG
Tokens:
Loading assets...
#1
52cbacf915bd...ce9d
Spent
Address:
9gUibHoaeiwK...cGoU
Output transaction:
14c0621679d8...cb3f
Settlement height:
777,124
Value:
0.005 ERG
#2
e86dce8aa5f2...8c4b
Spent
Address:
2x459aECGv9N...VsAy
Output transaction:
f8dc6f3357c9...caf3
Settlement height:
777,114
Value:
0.01 ERG
Tokens:
NETA
1,721.12
#3
750d21fab821...39db
Spent
Address:
2x459aECGv9N...VsAy
Output transaction:
b4998e8c09c5...b496
Settlement height:
777,093
Value:
0.001 ERG
Tokens:
NETA
5,932.24
Outputs (6)
#0
92f801c89901...74ce
Spent
Address:
721jRBm8dr7g...a85D
Spent in transaction:
bbfa3ba673d5...c0f9
Settlement height:
777,124
Value:
0.001 ERG
Tokens:
Loading assets...
#1
47d8de702da7...6df9
Spent
Address:
9eYJxp6YnUzU...4ZHe
Spent in transaction:
2d9767bcb5b6...6611
Settlement height:
777,124
Value:
0.001 ERG
Tokens:
NETA
100.57
#2
17fc04d07530...a69c
Unspent
Address:
9i421iPbzBFh...HuqS
Settlement height:
777,124
Value:
0.001 ERG
Tokens:
NETA
114.08
#3
51783b81fad7...dadf
Spent
Address:
2x459aECGv9N...VsAy
Spent in transaction:
bbfa3ba673d5...c0f9
Settlement height:
777,124
Value:
0.001 ERG
Tokens:
NETA
7,438.71
#4
033c2e2b03a4...8a81
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
059b694651d6...583a
Settlement height:
777,124
Value:
0.004 ERG
#5
2a89c120430d...48a6
Spent
Address:
9gUibHoaeiwK...cGoU
Spent in transaction:
55d64ef03cd7...2965
Settlement height:
777,124
Value:
0.009 ERG
Tokens:
NETA
0
Transaction Details
Status: Confirmed
Size: 2.55 KB
Received time: 6/21/2022 09:31:33 PM
Included in blocks: 777,124
Confirmations: 978,974
Total coins transferred: 0.017 ERG
Fees: 0.004 ERG
Fees per byte: 0.000001534 ERG
Raw Transaction Data
{
  "id": "4e62fbc4eb22b511a0fb0740110072408fa7c2893d0986d847e6ee6066d7e399",
  "blockId": "e853011bf09c350569b205e040b81bf5c97c6c477e68ff2bbe7dd7a0726cf607",
  "inclusionHeight": 777124,
  "timestamp": 1655847093852,
  "index": 31,
  "globalIndex": 3409554,
  "numConfirmations": 978974,
  "inputs": [
    {
      "boxId": "bfae7e81588c9662320e94cb4b063b39095f62f74482a840fb7f28d353c0a273",
      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "9e078f629946d88a15f03e2e9fb113f0afee57a3a2e8798bf2e08700e527dddd",
      "outputTransactionId": "b4998e8c09c59a9dab637e8740a061910f423b3af18a6e864d76c360f3bcb496",
      "outputIndex": 0,
      "outputGlobalIndex": 18209728,
      "outputCreatedAt": 777087,
      "outputSettledAt": 777093,
      "ergoTree": "101404000400040204020100010004020100040204000400050204020404040404000400010001000101d806d601c6a70611d602c6a7071ad60396830501e6c6a7040c3c0e11e6c6a7050c4c0ee67201e6720293b2a4730000a7d604b2a5730100d605b2a4730200d606c672040611957203d1959595ed93c27204c2a795957203aee47202d901070e937207c2b2a4730300730496830401e6c67205040c3c0e11e6c67205050c4c0ee6c672050611e6c67205071a730596830601e6c67204040c3c0e11e6c67204050c4c0ee6c672040611e6c67204071a93c17204c1a793b1db6308720473067307d803d607e47206d608e47201d609b27207730800ededed93b272077309009ab27208730a00730bed9072097ea305917209b27208730c0093b27207730d00b27208730e00938cb2db6308a7730f00018cb2db630872047310000173119683040193e4c67204040c3c0e11e4c67205040c3c0e1193e4c67204050c4c0ee4c67205050c4c0e93e47206e4c67205061193e4c67204071ae4c67205071a7312d17313",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: false\n5: false\n6: 1\n7: false\n8: 1\n9: 0\n10: 0\n11: 1\n12: 1\n13: 2\n14: 2\n15: 0\n16: 0\n17: false\n18: false\n19: true",
      "ergoTreeScript": "{\n  val opt1 = SELF.R6[Coll[Long]]\n  val opt2 = SELF.R7[Coll[Coll[Byte]]]\n  val bool3 = allOf(\n    Coll[Boolean](\n      SELF.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, SELF.R5[Coll[(Coll[Byte], Int)]].isDefined, opt1.isDefined, opt2.isDefined, INPUTS(\n        placeholder[Int](0)\n      ) == SELF\n    )\n  )\n  val box4 = OUTPUTS(placeholder[Int](1))\n  val box5 = INPUTS(placeholder[Int](2))\n  val opt6 = box4.R6[Coll[Long]]\n  if (bool3) {\n    sigmaProp(\n      if (if (if ((box4.propositionBytes == SELF.propositionBytes) && if (if (bool3) {\n        opt2.get.exists({(coll7: Coll[Byte]) => coll7 == INPUTS(placeholder[Int](3)).propositionBytes })\n      } else { placeholder[Boolean](4) }) {\n        allOf(\n          Coll[Boolean](\n            box5.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box5.R5[Coll[(Coll[Byte], Int)]].isDefined, box5.R6[Coll[Long]].isDefined, box5.R7[\n              Coll[Coll[Byte]]\n            ].isDefined\n          )\n        )\n      } else { placeholder[Boolean](5) }) {\n        allOf(\n          Coll[Boolean](\n            box4.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box4.R5[Coll[(Coll[Byte], Int)]].isDefined, box4.R6[Coll[Long]].isDefined, box4.R7[\n              Coll[Coll[Byte]]\n            ].isDefined, box4.value == SELF.value, box4.tokens.size == placeholder[Int](6)\n          )\n        )\n      } else { placeholder[Boolean](7) }) {(\n        val coll7 = opt6.get\n        val coll8 = opt1.get\n        val l9 = coll7(placeholder[Int](8))\n        (\n          (\n            (coll7(placeholder[Int](9)) == coll8(placeholder[Int](10)) + placeholder[Long](11)) && ((l9 <= HEIGHT.toLong) && (l9 > coll8(placeholder[Int](12))))\n          ) && (coll7(placeholder[Int](13)) == coll8(placeholder[Int](14)))\n        ) && (SELF.tokens(placeholder[Int](15))._1 == box4.tokens(placeholder[Int](16))._1)\n      )} else { placeholder[Boolean](17) }) {\n        allOf(\n          Coll[Boolean](\n            box4.R4[Coll[(Coll[Byte], Coll[Long])]].get == box5.R4[Coll[(Coll[Byte], Coll[Long])]].get, box4.R5[Coll[(Coll[Byte], Int)]].get == box5.R5[\n              Coll[(Coll[Byte], Int)]\n            ].get, opt6.get == box5.R6[Coll[Long]].get, box4.R7[Coll[Coll[Byte]]].get == box5.R7[Coll[Coll[Byte]]].get\n          )\n        )\n      } else { placeholder[Boolean](18) }\n    )\n  } else { sigmaProp(placeholder[Boolean](19)) }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "30afb371a30d30f3d1180fbaf51440b9fa259b5d3b65fe2ddc988ab1e2a408e7",
          "index": 0,
          "amount": 1,
          "name": "anetaBTC Smart Pool",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd03d1612f90f4a656509e8aeb445912ea6eace816901450a739f152a29c3228a8a2,[2707,100000000,56383269,22,0]],[0008cd0342e9782ee76af2017c2fb510c922e59ec60b58d3edf79b29fddcbbafcf4b060b,[60539,10000000000,4568104980,4,0]],[0008cd03431478f1c857406151753441249600cab6b2d8ee841fe22cc606dbad87749713,[3795,100000000,0,67,0]],[0008cd02a079a0d95276c637b55100cbaef41d525fe758da70e5fe5c3acae7c5e1c82650,[1364,500000000,187109965,98,0]],[0008cd03237ca336e84948945fcd32313600cddb2bf5882a17ce27d70420b7f51d9a4738,[845,100000000,83060926,6,0]],[0008cd03e08ff0aeb85f5f543c14c0e112b089dd3bc573984e45d6bbcfc35ff8e86b5618,[1148,100000000,23911338,99,0]],[0008cd03f7653701c4949e427b2bbc8dc74ae2bb19cf8a315c711ba3d558b7d42e99ad2a,[2046,1000000000,292569069,17,0]],[0008cd02b96a4796193055d52f577c8fadb6d82deee5506c5ec8d289108332ca065ba181,[2930,1000000000,721097093,77,0]],[0008cd03abeb9b553d620924f29cc99eb91ebd89b16f124118556482ce0d5f72de8f7909,[273,10000000,0,3,0]],[0008cd0202d61423fdd5c69698dd8602055b97c1adde6ed6b26478b1637c72d693af7b64,[3978,100000000,0,75,0]]]"
        },
        "R5": {
          "serializedValue": "0c4c0e01240008cd0315a5d99a010bf189b1abae2d9f21be6f3438803aca1e6aac739fbee31150d62700",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd0315a5d99a010bf189b1abae2d9f21be6f3438803aca1e6aac739fbee31150d627,0]]"
        },
        "R6": {
          "serializedValue": "1105c401feed5ee6fd5d1400",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[98,777087,769907,10,0]"
        },
        "R7": {
          "serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
        }
      }
    },
    {
      "boxId": "52cbacf915bd1d3e7a76494e4ff4c2105fd0ed9908fa9ea5d1927f69708dce9d",
      "value": 5000000,
      "index": 1,
      "spendingProof": "8f46f6723e0c0bf9dc4a805a9fb857ed7090d494134ec55dba751d7c04903dd13df708f167922dce84b1b56d508c2369397feeca083db954",
      "outputBlockId": "e853011bf09c350569b205e040b81bf5c97c6c477e68ff2bbe7dd7a0726cf607",
      "outputTransactionId": "14c0621679d850d2503813b5486c0d2cf505001439435a2e98d001cf948ccb3f",
      "outputIndex": 10,
      "outputGlobalIndex": 18212492,
      "outputCreatedAt": 777122,
      "outputSettledAt": 777124,
      "ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
      "address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd03d1612f90f4a656509e8aeb445912ea6eace816901450a739f152a29c3228a8a2,[2738,100000000,0,23,0]],[0008cd0342e9782ee76af2017c2fb510c922e59ec60b58d3edf79b29fddcbbafcf4b060b,[61571,10000000000,5865660814,5,0]],[0008cd03431478f1c857406151753441249600cab6b2d8ee841fe22cc606dbad87749713,[3773,100000000,79512727,68,0]],[0008cd02a079a0d95276c637b55100cbaef41d525fe758da70e5fe5c3acae7c5e1c82650,[1408,500000000,216782353,99,0]],[0008cd03237ca336e84948945fcd32313600cddb2bf5882a17ce27d70420b7f51d9a4738,[567,100000000,95009963,7,0]],[0008cd03e08ff0aeb85f5f543c14c0e112b089dd3bc573984e45d6bbcfc35ff8e86b5618,[1261,100000000,50485827,100,0]],[0008cd03f7653701c4949e427b2bbc8dc74ae2bb19cf8a315c711ba3d558b7d42e99ad2a,[2220,1000000000,339353658,18,0]],[0008cd02b96a4796193055d52f577c8fadb6d82deee5506c5ec8d289108332ca065ba181,[3148,1000000000,787438483,78,0]],[0008cd03abeb9b553d620924f29cc99eb91ebd89b16f124118556482ce0d5f72de8f7909,[212,10000000,4467717,4,0]],[0008cd0202d61423fdd5c69698dd8602055b97c1adde6ed6b26478b1637c72d693af7b64,[4772,100000000,0,76,0]]]"
        },
        "R5": {
          "serializedValue": "0c4c0e01240008cd0315a5d99a010bf189b1abae2d9f21be6f3438803aca1e6aac739fbee31150d62700",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd0315a5d99a010bf189b1abae2d9f21be6f3438803aca1e6aac739fbee31150d627,0]]"
        },
        "R6": {
          "serializedValue": "1105c601c4ee5ee6fd5d1400",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[99,777122,769907,10,0]"
        },
        "R7": {
          "serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
        }
      }
    },
    {
      "boxId": "e86dce8aa5f244c91c3d4a06cfc30c083043c45e6b5c8a3d96e11a1f0d208c4b",
      "value": 10000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "3382b90eef789865fe6251e7c231828d8e2ac9f4fc94ecbeda632d383328d7ff",
      "outputTransactionId": "f8dc6f3357c9708930e581583d490bcedeac0a034b8ec03b474347c3d357caf3",
      "outputIndex": 12,
      "outputGlobalIndex": 18211813,
      "outputCreatedAt": 777112,
      "outputSettledAt": 777114,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 100\n4: 3\n5: -3\n6: 0\n7: 1\n8: 100\n9: 3\n10: -3\n11: 0\n12: Coll(48,-81,-77,113,-93,13,48,-13,-47,24,15,-70,-11,20,64,-71,-6,37,-101,93,59,101,-2,45,-36,-104,-118,-79,-30,-92,8,-25)\n13: 1\n14: 0\n15: 0\n16: 2\n17: 1\n18: 0\n19: 2\n20: 100000\n21: 0\n22: 0\n23: 0\n24: 0\n25: 2\n26: 1\n27: 0\n28: 2\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 2\n36: -1\n37: 2\n38: -1\n39: 0\n40: false\n41: -1\n42: -1\n43: 0\n44: false\n45: -1\n46: 0\n47: 0\n48: -1\n49: 0\n50: 1000000\n51: false\n52: true\n53: 0\n54: 0\n55: true\n56: 0\n57: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  val coll3 = INPUTS.filter({(box3: Box) => box3.propositionBytes == coll2 })\n  val l4 = placeholder[Long](1)\n  val func5 = {(tuple5: (Long, Long)) =>\n    val l7 = tuple5._1\n    val l8 = tuple5._2\n    val bool9 = l8 != placeholder[Long](2)\n    val l10 = l8\n    val l11 = if (bool9) { l10 } else { l4 }\n    val l12 = l7 - l11\n    val l13 = l12 * placeholder[Long](3)\n    val l14 = l13 / l11\n    val bool15 = l14 < placeholder[Long](4)\n    val bool16 = \n      val bool16 = l14 > placeholder[Long](5)\n      bool16\n    \n    val bool17 = bool15 && bool16\n    bool17\n  }\n  val func6 = {(tuple6: (Long, Long)) =>\n    val l8 = tuple6._2\n    val l9 = if (l8 != placeholder[Long](6)) { l8 } else { placeholder[Long](7) }\n    val l10 = tuple6._1 - l9 * placeholder[Long](8) / l9\n    (l10 < placeholder[Long](9)) && (l10 > placeholder[Long](10))\n  }\n  sigmaProp(if (box1.tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12)) {(\n      val coll7 = INPUTS(placeholder[Int](13)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll8 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l9 = coll3.fold(placeholder[Long](14), {(tuple9: (Long, Box)) => tuple9._1 + tuple9._2.tokens(placeholder[Int](15))._2 }) - coll8.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](16)) < coll11(placeholder[Int](17))\n        }).fold(placeholder[Long](18), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](19)) })\n      val coll10 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple10: (Coll[Byte], Int)) => (tuple10._1, tuple10._2.toLong * l9 / placeholder[Long](20)) })\n      val coll11 = SELF.tokens(placeholder[Int](21))._1\n      val coll12 = OUTPUTS.filter({(box12: Box) => box12.tokens.size > placeholder[Int](22) }).filter({(box12: Box) => box12.tokens(placeholder[Int](23))._1 == coll11 })\n      val coll13 = coll12.map({(box13: Box) => box13.propositionBytes })\n      val l14 = l4\n      val coll15 = coll12.map({(box15: Box) => box15.tokens(placeholder[Int](24))._2 })\n      val l16 = coll7.filter({(tuple16: (Coll[Byte], Coll[Long])) =>\n          val coll18 = tuple16._2\n          coll18(placeholder[Int](25)) < coll18(placeholder[Int](26))\n        }).fold(placeholder[Long](27), {(tuple16: (Long, (Coll[Byte], Coll[Long]))) => tuple16._1 + tuple16._2._2(placeholder[Int](28)) })\n      ((coll7.forall({(tuple17: (Coll[Byte], Coll[Long])) =>\n              val coll19 = tuple17._1\n              val i20 = coll8.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._1 }).indexOf(coll19, placeholder[Int](29))\n              val coll21 = tuple17._2\n              val l22 = {(l22: Long) => coll10.fold(l9, {(tuple24: (Long, (Coll[Byte], Long))) => tuple24._1 - tuple24._2._2 }) * l22 / coll7.fold(placeholder[Long](30), {(tuple24: (Long, (Coll[Byte], Coll[Long]))) => tuple24._1 + tuple24._2._2(placeholder[Int](31)) }) }(coll21(placeholder[Int](32)))\n              val l23 = coll21(placeholder[Int](33))\n              val i24 = coll13.indexOf(coll19, placeholder[Int](34))\n              val l25 = coll21(placeholder[Int](35))\n              if (i20 != placeholder[Int](36)) {(\n                val l26 = coll8.map({(tuple26: (Coll[Byte], Coll[Long])) => tuple26._2 })(i20)(placeholder[Int](37)) + l22\n                if (l26 >= l23) { if (i24 != placeholder[Int](38)) {(\n                    val func27 = func5\n                    func27((l26, coll15(i24))) && (l25 == placeholder[Long](39))\n                  )} else { placeholder[Boolean](40) } } else { (i24 == placeholder[Int](41)) && func5((l26, l25)) }\n              )} else { if (l22 >= l23) { if (i24 != placeholder[Int](42)) { func5((l22, coll15(i24))) && (l25 == placeholder[Long](43)) } else { placeholder[Boolean](44) } } else { (i24 == placeholder[Int](45)) && func5((l22, l25)) } }\n            }) && coll10.forall({(tuple17: (Coll[Byte], Long)) =>\n              val l19 = tuple17._2\n              if (l19 > placeholder[Long](46)) {(\n                val i20 = coll13.indexOf(tuple17._1, placeholder[Int](47))\n                if (i20 != placeholder[Int](48)) {(\n                  val box21 = coll12(i20)\n                  func6((l19, box21.tokens(placeholder[Int](49))._2)) && (box21.value == placeholder[Long](50))\n                )} else { placeholder[Boolean](51) }\n              )} else { placeholder[Boolean](52) }\n            })) && if (l16 > placeholder[Long](53)) { coll12.exists({(box17: Box) => func6((l16, box17.tokens(placeholder[Int](54))._2)) && (box17.propositionBytes == coll2) }) } else { placeholder[Boolean](55) }) && coll3.forall({(box17: Box) => box17.tokens(placeholder[Int](56))._1 == coll11 })\n    )} else { placeholder[Boolean](57) })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
          "index": 0,
          "amount": 1721124969,
          "name": "NETA",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "750d21fab8216ec8fe0aa6bec95866c802c211cc104fabc1b36c2ad825f239db",
      "value": 1000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "9e078f629946d88a15f03e2e9fb113f0afee57a3a2e8798bf2e08700e527dddd",
      "outputTransactionId": "b4998e8c09c59a9dab637e8740a061910f423b3af18a6e864d76c360f3bcb496",
      "outputIndex": 4,
      "outputGlobalIndex": 18209732,
      "outputCreatedAt": 777087,
      "outputSettledAt": 777093,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 100\n4: 3\n5: -3\n6: 0\n7: 1\n8: 100\n9: 3\n10: -3\n11: 0\n12: Coll(48,-81,-77,113,-93,13,48,-13,-47,24,15,-70,-11,20,64,-71,-6,37,-101,93,59,101,-2,45,-36,-104,-118,-79,-30,-92,8,-25)\n13: 1\n14: 0\n15: 0\n16: 2\n17: 1\n18: 0\n19: 2\n20: 100000\n21: 0\n22: 0\n23: 0\n24: 0\n25: 2\n26: 1\n27: 0\n28: 2\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 2\n36: -1\n37: 2\n38: -1\n39: 0\n40: false\n41: -1\n42: -1\n43: 0\n44: false\n45: -1\n46: 0\n47: 0\n48: -1\n49: 0\n50: 1000000\n51: false\n52: true\n53: 0\n54: 0\n55: true\n56: 0\n57: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  val coll3 = INPUTS.filter({(box3: Box) => box3.propositionBytes == coll2 })\n  val l4 = placeholder[Long](1)\n  val func5 = {(tuple5: (Long, Long)) =>\n    val l7 = tuple5._1\n    val l8 = tuple5._2\n    val bool9 = l8 != placeholder[Long](2)\n    val l10 = l8\n    val l11 = if (bool9) { l10 } else { l4 }\n    val l12 = l7 - l11\n    val l13 = l12 * placeholder[Long](3)\n    val l14 = l13 / l11\n    val bool15 = l14 < placeholder[Long](4)\n    val bool16 = \n      val bool16 = l14 > placeholder[Long](5)\n      bool16\n    \n    val bool17 = bool15 && bool16\n    bool17\n  }\n  val func6 = {(tuple6: (Long, Long)) =>\n    val l8 = tuple6._2\n    val l9 = if (l8 != placeholder[Long](6)) { l8 } else { placeholder[Long](7) }\n    val l10 = tuple6._1 - l9 * placeholder[Long](8) / l9\n    (l10 < placeholder[Long](9)) && (l10 > placeholder[Long](10))\n  }\n  sigmaProp(if (box1.tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12)) {(\n      val coll7 = INPUTS(placeholder[Int](13)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll8 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l9 = coll3.fold(placeholder[Long](14), {(tuple9: (Long, Box)) => tuple9._1 + tuple9._2.tokens(placeholder[Int](15))._2 }) - coll8.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](16)) < coll11(placeholder[Int](17))\n        }).fold(placeholder[Long](18), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](19)) })\n      val coll10 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple10: (Coll[Byte], Int)) => (tuple10._1, tuple10._2.toLong * l9 / placeholder[Long](20)) })\n      val coll11 = SELF.tokens(placeholder[Int](21))._1\n      val coll12 = OUTPUTS.filter({(box12: Box) => box12.tokens.size > placeholder[Int](22) }).filter({(box12: Box) => box12.tokens(placeholder[Int](23))._1 == coll11 })\n      val coll13 = coll12.map({(box13: Box) => box13.propositionBytes })\n      val l14 = l4\n      val coll15 = coll12.map({(box15: Box) => box15.tokens(placeholder[Int](24))._2 })\n      val l16 = coll7.filter({(tuple16: (Coll[Byte], Coll[Long])) =>\n          val coll18 = tuple16._2\n          coll18(placeholder[Int](25)) < coll18(placeholder[Int](26))\n        }).fold(placeholder[Long](27), {(tuple16: (Long, (Coll[Byte], Coll[Long]))) => tuple16._1 + tuple16._2._2(placeholder[Int](28)) })\n      ((coll7.forall({(tuple17: (Coll[Byte], Coll[Long])) =>\n              val coll19 = tuple17._1\n              val i20 = coll8.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._1 }).indexOf(coll19, placeholder[Int](29))\n              val coll21 = tuple17._2\n              val l22 = {(l22: Long) => coll10.fold(l9, {(tuple24: (Long, (Coll[Byte], Long))) => tuple24._1 - tuple24._2._2 }) * l22 / coll7.fold(placeholder[Long](30), {(tuple24: (Long, (Coll[Byte], Coll[Long]))) => tuple24._1 + tuple24._2._2(placeholder[Int](31)) }) }(coll21(placeholder[Int](32)))\n              val l23 = coll21(placeholder[Int](33))\n              val i24 = coll13.indexOf(coll19, placeholder[Int](34))\n              val l25 = coll21(placeholder[Int](35))\n              if (i20 != placeholder[Int](36)) {(\n                val l26 = coll8.map({(tuple26: (Coll[Byte], Coll[Long])) => tuple26._2 })(i20)(placeholder[Int](37)) + l22\n                if (l26 >= l23) { if (i24 != placeholder[Int](38)) {(\n                    val func27 = func5\n                    func27((l26, coll15(i24))) && (l25 == placeholder[Long](39))\n                  )} else { placeholder[Boolean](40) } } else { (i24 == placeholder[Int](41)) && func5((l26, l25)) }\n              )} else { if (l22 >= l23) { if (i24 != placeholder[Int](42)) { func5((l22, coll15(i24))) && (l25 == placeholder[Long](43)) } else { placeholder[Boolean](44) } } else { (i24 == placeholder[Int](45)) && func5((l22, l25)) } }\n            }) && coll10.forall({(tuple17: (Coll[Byte], Long)) =>\n              val l19 = tuple17._2\n              if (l19 > placeholder[Long](46)) {(\n                val i20 = coll13.indexOf(tuple17._1, placeholder[Int](47))\n                if (i20 != placeholder[Int](48)) {(\n                  val box21 = coll12(i20)\n                  func6((l19, box21.tokens(placeholder[Int](49))._2)) && (box21.value == placeholder[Long](50))\n                )} else { placeholder[Boolean](51) }\n              )} else { placeholder[Boolean](52) }\n            })) && if (l16 > placeholder[Long](53)) { coll12.exists({(box17: Box) => func6((l16, box17.tokens(placeholder[Int](54))._2)) && (box17.propositionBytes == coll2) }) } else { placeholder[Boolean](55) }) && coll3.forall({(box17: Box) => box17.tokens(placeholder[Int](56))._1 == coll11 })\n    )} else { placeholder[Boolean](57) })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
          "index": 0,
          "amount": 5932236640,
          "name": "NETA",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "92f801c899016e284272741d9508ad65f9d4339de106fb9bf97297709c1174ce",
      "transactionId": "4e62fbc4eb22b511a0fb0740110072408fa7c2893d0986d847e6ee6066d7e399",
      "blockId": "e853011bf09c350569b205e040b81bf5c97c6c477e68ff2bbe7dd7a0726cf607",
      "value": 1000000,
      "index": 0,
      "globalIndex": 18212659,
      "creationHeight": 777122,
      "settlementHeight": 777124,
      "ergoTree": "101404000400040204020100010004020100040204000400050204020404040404000400010001000101d806d601c6a70611d602c6a7071ad60396830501e6c6a7040c3c0e11e6c6a7050c4c0ee67201e6720293b2a4730000a7d604b2a5730100d605b2a4730200d606c672040611957203d1959595ed93c27204c2a795957203aee47202d901070e937207c2b2a4730300730496830401e6c67205040c3c0e11e6c67205050c4c0ee6c672050611e6c67205071a730596830601e6c67204040c3c0e11e6c67204050c4c0ee6c672040611e6c67204071a93c17204c1a793b1db6308720473067307d803d607e47206d608e47201d609b27207730800ededed93b272077309009ab27208730a00730bed9072097ea305917209b27208730c0093b27207730d00b27208730e00938cb2db6308a7730f00018cb2db630872047310000173119683040193e4c67204040c3c0e11e4c67205040c3c0e1193e4c67204050c4c0ee4c67205050c4c0e93e47206e4c67205061193e4c67204071ae4c67205071a7312d17313",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: false\n5: false\n6: 1\n7: false\n8: 1\n9: 0\n10: 0\n11: 1\n12: 1\n13: 2\n14: 2\n15: 0\n16: 0\n17: false\n18: false\n19: true",
      "ergoTreeScript": "{\n  val opt1 = SELF.R6[Coll[Long]]\n  val opt2 = SELF.R7[Coll[Coll[Byte]]]\n  val bool3 = allOf(\n    Coll[Boolean](\n      SELF.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, SELF.R5[Coll[(Coll[Byte], Int)]].isDefined, opt1.isDefined, opt2.isDefined, INPUTS(\n        placeholder[Int](0)\n      ) == SELF\n    )\n  )\n  val box4 = OUTPUTS(placeholder[Int](1))\n  val box5 = INPUTS(placeholder[Int](2))\n  val opt6 = box4.R6[Coll[Long]]\n  if (bool3) {\n    sigmaProp(\n      if (if (if ((box4.propositionBytes == SELF.propositionBytes) && if (if (bool3) {\n        opt2.get.exists({(coll7: Coll[Byte]) => coll7 == INPUTS(placeholder[Int](3)).propositionBytes })\n      } else { placeholder[Boolean](4) }) {\n        allOf(\n          Coll[Boolean](\n            box5.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box5.R5[Coll[(Coll[Byte], Int)]].isDefined, box5.R6[Coll[Long]].isDefined, box5.R7[\n              Coll[Coll[Byte]]\n            ].isDefined\n          )\n        )\n      } else { placeholder[Boolean](5) }) {\n        allOf(\n          Coll[Boolean](\n            box4.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box4.R5[Coll[(Coll[Byte], Int)]].isDefined, box4.R6[Coll[Long]].isDefined, box4.R7[\n              Coll[Coll[Byte]]\n            ].isDefined, box4.value == SELF.value, box4.tokens.size == placeholder[Int](6)\n          )\n        )\n      } else { placeholder[Boolean](7) }) {(\n        val coll7 = opt6.get\n        val coll8 = opt1.get\n        val l9 = coll7(placeholder[Int](8))\n        (\n          (\n            (coll7(placeholder[Int](9)) == coll8(placeholder[Int](10)) + placeholder[Long](11)) && ((l9 <= HEIGHT.toLong) && (l9 > coll8(placeholder[Int](12))))\n          ) && (coll7(placeholder[Int](13)) == coll8(placeholder[Int](14)))\n        ) && (SELF.tokens(placeholder[Int](15))._1 == box4.tokens(placeholder[Int](16))._1)\n      )} else { placeholder[Boolean](17) }) {\n        allOf(\n          Coll[Boolean](\n            box4.R4[Coll[(Coll[Byte], Coll[Long])]].get == box5.R4[Coll[(Coll[Byte], Coll[Long])]].get, box4.R5[Coll[(Coll[Byte], Int)]].get == box5.R5[\n              Coll[(Coll[Byte], Int)]\n            ].get, opt6.get == box5.R6[Coll[Long]].get, box4.R7[Coll[Coll[Byte]]].get == box5.R7[Coll[Coll[Byte]]].get\n          )\n        )\n      } else { placeholder[Boolean](18) }\n    )\n  } else { sigmaProp(placeholder[Boolean](19)) }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "30afb371a30d30f3d1180fbaf51440b9fa259b5d3b65fe2ddc988ab1e2a408e7",
          "index": 0,
          "amount": 1,
          "name": "anetaBTC Smart Pool",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd03d1612f90f4a656509e8aeb445912ea6eace816901450a739f152a29c3228a8a2,[2738,100000000,0,23,0]],[0008cd0342e9782ee76af2017c2fb510c922e59ec60b58d3edf79b29fddcbbafcf4b060b,[61571,10000000000,5865660814,5,0]],[0008cd03431478f1c857406151753441249600cab6b2d8ee841fe22cc606dbad87749713,[3773,100000000,79512727,68,0]],[0008cd02a079a0d95276c637b55100cbaef41d525fe758da70e5fe5c3acae7c5e1c82650,[1408,500000000,216782353,99,0]],[0008cd03237ca336e84948945fcd32313600cddb2bf5882a17ce27d70420b7f51d9a4738,[567,100000000,95009963,7,0]],[0008cd03e08ff0aeb85f5f543c14c0e112b089dd3bc573984e45d6bbcfc35ff8e86b5618,[1261,100000000,50485827,100,0]],[0008cd03f7653701c4949e427b2bbc8dc74ae2bb19cf8a315c711ba3d558b7d42e99ad2a,[2220,1000000000,339353658,18,0]],[0008cd02b96a4796193055d52f577c8fadb6d82deee5506c5ec8d289108332ca065ba181,[3148,1000000000,787438483,78,0]],[0008cd03abeb9b553d620924f29cc99eb91ebd89b16f124118556482ce0d5f72de8f7909,[212,10000000,4467717,4,0]],[0008cd0202d61423fdd5c69698dd8602055b97c1adde6ed6b26478b1637c72d693af7b64,[4772,100000000,0,76,0]]]"
        },
        "R5": {
          "serializedValue": "0c4c0e01240008cd0315a5d99a010bf189b1abae2d9f21be6f3438803aca1e6aac739fbee31150d62700",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd0315a5d99a010bf189b1abae2d9f21be6f3438803aca1e6aac739fbee31150d627,0]]"
        },
        "R6": {
          "serializedValue": "1105c601c4ee5ee6fd5d1400",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[99,777122,769907,10,0]"
        },
        "R7": {
          "serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
        }
      },
      "spentTransactionId": "bbfa3ba673d52fe9908f542fe3b12f9de4914680ceb5489d20595a6df308c0f9",
      "mainChain": true
    },
    {
      "boxId": "47d8de702da77d222f109f4b2aa01ccd73a95b9a4ebe3f4d895643fced8f6df9",
      "transactionId": "4e62fbc4eb22b511a0fb0740110072408fa7c2893d0986d847e6ee6066d7e399",
      "blockId": "e853011bf09c350569b205e040b81bf5c97c6c477e68ff2bbe7dd7a0726cf607",
      "value": 1000000,
      "index": 1,
      "globalIndex": 18212660,
      "creationHeight": 777122,
      "settlementHeight": 777124,
      "ergoTree": "0008cd0202d61423fdd5c69698dd8602055b97c1adde6ed6b26478b1637c72d693af7b64",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2d6142,fd2a07,...)))}",
      "address": "9eYJxp6YnUzU9dSkPNZXeqCpQTwjCQPx9nyGpsqgvKkjqRh4ZHe",
      "assets": [
        {
          "tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
          "index": 0,
          "amount": 100565793,
          "name": "NETA",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "2d9767bcb5b6cb1886334d2cadd07b5a011c3bf7804732911a60a3054c016611",
      "mainChain": true
    },
    {
      "boxId": "17fc04d07530d55547f0dbf2ae76fb150f780834286544891e38fbb99e57a69c",
      "transactionId": "4e62fbc4eb22b511a0fb0740110072408fa7c2893d0986d847e6ee6066d7e399",
      "blockId": "e853011bf09c350569b205e040b81bf5c97c6c477e68ff2bbe7dd7a0726cf607",
      "value": 1000000,
      "index": 2,
      "globalIndex": 18212661,
      "creationHeight": 777122,
      "settlementHeight": 777124,
      "ergoTree": "0008cd03d1612f90f4a656509e8aeb445912ea6eace816901450a739f152a29c3228a8a2",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(d1612f,2c492f,...)))}",
      "address": "9i421iPbzBFhMu5fE9UAmDBEiYzdHawmwsy9fnKD34eunBMHuqS",
      "assets": [
        {
          "tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
          "index": 0,
          "amount": 114084262,
          "name": "NETA",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "51783b81fad76ee7859873695341d4cdc54239ffa77a37d5967922d47374dadf",
      "transactionId": "4e62fbc4eb22b511a0fb0740110072408fa7c2893d0986d847e6ee6066d7e399",
      "blockId": "e853011bf09c350569b205e040b81bf5c97c6c477e68ff2bbe7dd7a0726cf607",
      "value": 1000000,
      "index": 3,
      "globalIndex": 18212662,
      "creationHeight": 777122,
      "settlementHeight": 777124,
      "ergoTree": "103a04000502050005c801050605050500050205c8010506050504000e2030afb371a30d30f3d1180fbaf51440b9fa259b5d3b65fe2ddc988ab1e2a408e7040205000400040404020500040405c09a0c040004000400040004040402050004040400050004000400040204000404040104040401050001000401040105000100040105000400040104000580897a0100010105000400010104000100d806d601b2a4730000d602c2a7d603b5a4d901036393c272037202d6047301d605d9010559d80bd6078c720501d6088c720502d6099472087302d60a7208d60b957209720a7204d60c997207720bd60d9c720c7303d60e9d720d720bd60f8f720e7304d610d801d61091720e73057210d611ed720f72107211d606d9010659d803d6088c720602d60995947208730672087307d60a9d9c998c720601720973087209ed8f720a730991720a730ad195938cb2db63087201730b0001730cd80ad607e4c6b2a4730d00040c3c0e11d608e4c67201040c3c0e11d60999b07203730ed9010941639a8c7209018cb2db63088c720902730f0002b0b57208d901093c0e11d801d60b8c7209028fb2720b731000b2720b7311007312d90109413c0e119a8c720901b28c8c72090202731300d60aade4c67201050c4c0ed9010a4c0e86028c720a019d9c7e8c720a020572097314d60b8cb2db6308a773150001d60cb5b5a5d9010c6391b1db6308720c7316d9010c63938cb2db6308720c73170001720bd60dad720cd9010d63c2720dd60e7204d60fad720cd9010f638cb2db6308720f73180002d610b0b57207d901103c0e11d801d6128c7210028fb27212731900b27212731a00731bd90110413c0e119a8c721001b28c8c72100202731c00edededaf7207d901113c0e11d807d6138c721101d614dc0c1aad7208d901143c0e118c721401027213731dd6158c721102d616dad90116059d9cb0720a7209d90118414d0e998c7218018c8c721802027216b07207731ed90118413c0e119a8c721801b28c8c72180202731f0001b27215732000d617b27215732100d618dc0c1a720d0272137322d619b27215732300959472147324d801d61a9ab2b2ad7208d9011a3c0e118c721a0272140073250072169592721a7217959472187326d801d61b7205edda721b018602721ab2720f72180093721973277328ed9372187329da7205018602721a721995927216721795947218732aedda72050186027216b2720f721800937219732b732ced937218732dda720501860272167219af720ad901114d0ed801d6138c72110295917213732ed801d614dc0c1a720d028c721101732f959472147330d801d615b2720c721400edda720601860272138cb2db630872157331000293c17215733273337334959172107335ae720cd9011163edda720601860272108cb2db630872117336000293c2721172027337af7203d9011163938cb2db6308721173380001720b7339",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 100\n4: 3\n5: -3\n6: 0\n7: 1\n8: 100\n9: 3\n10: -3\n11: 0\n12: Coll(48,-81,-77,113,-93,13,48,-13,-47,24,15,-70,-11,20,64,-71,-6,37,-101,93,59,101,-2,45,-36,-104,-118,-79,-30,-92,8,-25)\n13: 1\n14: 0\n15: 0\n16: 2\n17: 1\n18: 0\n19: 2\n20: 100000\n21: 0\n22: 0\n23: 0\n24: 0\n25: 2\n26: 1\n27: 0\n28: 2\n29: 0\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 2\n36: -1\n37: 2\n38: -1\n39: 0\n40: false\n41: -1\n42: -1\n43: 0\n44: false\n45: -1\n46: 0\n47: 0\n48: -1\n49: 0\n50: 1000000\n51: false\n52: true\n53: 0\n54: 0\n55: true\n56: 0\n57: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  val coll3 = INPUTS.filter({(box3: Box) => box3.propositionBytes == coll2 })\n  val l4 = placeholder[Long](1)\n  val func5 = {(tuple5: (Long, Long)) =>\n    val l7 = tuple5._1\n    val l8 = tuple5._2\n    val bool9 = l8 != placeholder[Long](2)\n    val l10 = l8\n    val l11 = if (bool9) { l10 } else { l4 }\n    val l12 = l7 - l11\n    val l13 = l12 * placeholder[Long](3)\n    val l14 = l13 / l11\n    val bool15 = l14 < placeholder[Long](4)\n    val bool16 = \n      val bool16 = l14 > placeholder[Long](5)\n      bool16\n    \n    val bool17 = bool15 && bool16\n    bool17\n  }\n  val func6 = {(tuple6: (Long, Long)) =>\n    val l8 = tuple6._2\n    val l9 = if (l8 != placeholder[Long](6)) { l8 } else { placeholder[Long](7) }\n    val l10 = tuple6._1 - l9 * placeholder[Long](8) / l9\n    (l10 < placeholder[Long](9)) && (l10 > placeholder[Long](10))\n  }\n  sigmaProp(if (box1.tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12)) {(\n      val coll7 = INPUTS(placeholder[Int](13)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll8 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l9 = coll3.fold(placeholder[Long](14), {(tuple9: (Long, Box)) => tuple9._1 + tuple9._2.tokens(placeholder[Int](15))._2 }) - coll8.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](16)) < coll11(placeholder[Int](17))\n        }).fold(placeholder[Long](18), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](19)) })\n      val coll10 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple10: (Coll[Byte], Int)) => (tuple10._1, tuple10._2.toLong * l9 / placeholder[Long](20)) })\n      val coll11 = SELF.tokens(placeholder[Int](21))._1\n      val coll12 = OUTPUTS.filter({(box12: Box) => box12.tokens.size > placeholder[Int](22) }).filter({(box12: Box) => box12.tokens(placeholder[Int](23))._1 == coll11 })\n      val coll13 = coll12.map({(box13: Box) => box13.propositionBytes })\n      val l14 = l4\n      val coll15 = coll12.map({(box15: Box) => box15.tokens(placeholder[Int](24))._2 })\n      val l16 = coll7.filter({(tuple16: (Coll[Byte], Coll[Long])) =>\n          val coll18 = tuple16._2\n          coll18(placeholder[Int](25)) < coll18(placeholder[Int](26))\n        }).fold(placeholder[Long](27), {(tuple16: (Long, (Coll[Byte], Coll[Long]))) => tuple16._1 + tuple16._2._2(placeholder[Int](28)) })\n      ((coll7.forall({(tuple17: (Coll[Byte], Coll[Long])) =>\n              val coll19 = tuple17._1\n              val i20 = coll8.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._1 }).indexOf(coll19, placeholder[Int](29))\n              val coll21 = tuple17._2\n              val l22 = {(l22: Long) => coll10.fold(l9, {(tuple24: (Long, (Coll[Byte], Long))) => tuple24._1 - tuple24._2._2 }) * l22 / coll7.fold(placeholder[Long](30), {(tuple24: (Long, (Coll[Byte], Coll[Long]))) => tuple24._1 + tuple24._2._2(placeholder[Int](31)) }) }(coll21(placeholder[Int](32)))\n              val l23 = coll21(placeholder[Int](33))\n              val i24 = coll13.indexOf(coll19, placeholder[Int](34))\n              val l25 = coll21(placeholder[Int](35))\n              if (i20 != placeholder[Int](36)) {(\n                val l26 = coll8.map({(tuple26: (Coll[Byte], Coll[Long])) => tuple26._2 })(i20)(placeholder[Int](37)) + l22\n                if (l26 >= l23) { if (i24 != placeholder[Int](38)) {(\n                    val func27 = func5\n                    func27((l26, coll15(i24))) && (l25 == placeholder[Long](39))\n                  )} else { placeholder[Boolean](40) } } else { (i24 == placeholder[Int](41)) && func5((l26, l25)) }\n              )} else { if (l22 >= l23) { if (i24 != placeholder[Int](42)) { func5((l22, coll15(i24))) && (l25 == placeholder[Long](43)) } else { placeholder[Boolean](44) } } else { (i24 == placeholder[Int](45)) && func5((l22, l25)) } }\n            }) && coll10.forall({(tuple17: (Coll[Byte], Long)) =>\n              val l19 = tuple17._2\n              if (l19 > placeholder[Long](46)) {(\n                val i20 = coll13.indexOf(tuple17._1, placeholder[Int](47))\n                if (i20 != placeholder[Int](48)) {(\n                  val box21 = coll12(i20)\n                  func6((l19, box21.tokens(placeholder[Int](49))._2)) && (box21.value == placeholder[Long](50))\n                )} else { placeholder[Boolean](51) }\n              )} else { placeholder[Boolean](52) }\n            })) && if (l16 > placeholder[Long](53)) { coll12.exists({(box17: Box) => func6((l16, box17.tokens(placeholder[Int](54))._2)) && (box17.propositionBytes == coll2) }) } else { placeholder[Boolean](55) }) && coll3.forall({(box17: Box) => box17.tokens(placeholder[Int](56))._1 == coll11 })\n    )} else { placeholder[Boolean](57) })\n}",
      "address": "2x459aECGv9N81rY346AEZ7TdZgSEYZAZH99UDp9mii1yFfo9TUHvLeNJoXzfUjXYJP6ESKC2MVRcSZtVmhKVppPMn6857gNEcefko57Pukw1hyAoxmBK9YjT91T3wkBsF9i4BKQxiioho6RnZPFPVHdfwppj1ExTYqgzSedc2YwnFTp5njKtdKUfTAbEjyqDKdKf5YdJfjRar1adtEmJmBgaaZRn5K9BPyt7sNWBEWD5aQWsspHA1D57mFCbwBALU9Ae8YmxfvomJpfX31GHnNfwcBfpU7gMocWb7MbPcdnBYLyLgGJtXXQ2jvtWkEWRR9RzbSvUbM2pZ22QVdmyKC1hNuVf9dNmL5AVPhz3FtbBLKDrGzKjNRnpvnd93DJR4BYGTDhfzQVTHRQ5puSutpkXAgKe2APCe5AfUAUFzUSeHkFw1d1m75pAs3DRonvXP6Cuy4ABSeaXqxceniVvWje3G7E9zRFnjRZCSebGsmn2eHdbi5DHeqbZ8SGgEM5sYHD4ZWca4NWkERcak4jQjiNZSivAjvjTk9fQ5q7W296XU3snSq3uFpDHkx2Y6L4DCC5hfaD4tGYeja7gnKWSXnEbRgp3yxMkuR2YtjneJN1X7gWDkbAjReSXbox6kUGzKcTccDTD17Lk7mQpRjoiN8b1PeqLdMgEyxvuNQ4ADweipFNQUEF5abRBFm1WLxaJUP5VicWZqFKU7uhACYuMcSaxxmmprkVAYPoLUy8XEeqqZijZuNUzvYxeQfn8W2J145tDdqvvqJh6iVmCa7T1ndScdE1fqDjFF5Y1QATM52amD4f7Fgfo4yBsR8s9jQQekBPRgPABEzpAiSiF2QHfXTvUNQBMyWncuQm2423hrqZN4PSaZoYbzEnfgQ7sQLE8BginMZzjtj7mSektGtHtttinBCxJHDf8ND8bDFvoVS94WdQjVLu7Zbpbmou1X6iUN7i7PBPEDSXmeGusH11X9tmAo4unESX9NB1ivr2kFEZjn6beJUDiByL8uj9JgwSHQWvkb2FwGn1Hvsk9GNQcHWZ12HVrsEuY9wzS9hCc4fEeDJ9ALBrURJKN9qksHJL22px2tYS3yL5pXVxGkJmZAFBJAts8z14ji6uCyuyLxmC9dmiwxwpCxJAqBrQWM1CjUYBmxmX3dbCdjHibR7fPdNpfLM9jSZphvar4ufiUCzFBsVsB6CD71T2EbUG7PYn7dMhcJ8SEmfscRveCHu2EumCrRqrtmqP9RwX7myhnvYwP3JAfux5okYSAiCwgSxdDouPJLft9UnY1ZDs5FD826zzMBbaurnAGUJCbjGwhirGq9ZKZteVGp52FFLJmaRfiXnaUQyzXEkJZfUrYZUGi8xeyNSwHpZSqCgcWBrvK5AYWKnAZkgo7wqbtbKMKYhXje4mtg9TNwdbUNMQCuhqRUUVNhK2mKkxNztFbLWtLKCDopEVgVsAy",
      "assets": [
        {
          "tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
          "index": 0,
          "amount": 7438711542,
          "name": "NETA",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "bbfa3ba673d52fe9908f542fe3b12f9de4914680ceb5489d20595a6df308c0f9",
      "mainChain": true
    },
    {
      "boxId": "033c2e2b03a42142440e24df56d89d7e9f17472d49d9777d379c56abdd388a81",
      "transactionId": "4e62fbc4eb22b511a0fb0740110072408fa7c2893d0986d847e6ee6066d7e399",
      "blockId": "e853011bf09c350569b205e040b81bf5c97c6c477e68ff2bbe7dd7a0726cf607",
      "value": 4000000,
      "index": 4,
      "globalIndex": 18212663,
      "creationHeight": 777122,
      "settlementHeight": 777124,
      "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": "059b694651d6b4f57b5c7229796d9fada673ddfc55483ac1831d38923432583a",
      "mainChain": true
    },
    {
      "boxId": "2a89c120430da697ccae2d05b4ae8249b65abe001c0575169b099adcc0de48a6",
      "transactionId": "4e62fbc4eb22b511a0fb0740110072408fa7c2893d0986d847e6ee6066d7e399",
      "blockId": "e853011bf09c350569b205e040b81bf5c97c6c477e68ff2bbe7dd7a0726cf607",
      "value": 9000000,
      "index": 5,
      "globalIndex": 18212664,
      "creationHeight": 777122,
      "settlementHeight": 777124,
      "ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
      "address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
      "assets": [
        {
          "tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
          "index": 0,
          "amount": 12,
          "name": "NETA",
          "decimals": 6,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "55d64ef03cd71ad1e8020d35134bb7a513cb822ee9eb5418116f6adc56d02965",
      "mainChain": true
    }
  ],
  "size": 2607,
  "isUnconfirmed": false
}