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Transaction

7/27/2023 04:16:23 AM
ID: 280cfde18d...41cd
Inputs (19)
#0
996079c86ce4...1dc5
Spent
Address:
4eBg9MnazHt7...7fSL
Output transaction:
6854cf6493f0...a11b
Settlement height:
1,055,820
Value:
7.9 ERG
Tokens:
Loading assets...
#1
fa7eecb5e65c...5073
Spent
Address:
9gwFTap8YaQE...SnXY
Output transaction:
c1f093642c8a...fdab
Settlement height:
1,043,823
Value:
0.694543182 ERG
#2
08ba41901dfb...119c
Spent
Address:
9gwFTap8YaQE...SnXY
Output transaction:
954e44b21633...a4ab
Settlement height:
1,043,967
Value:
0.632815525 ERG
#3
cead403f93d4...b138
Spent
Address:
9gwFTap8YaQE...SnXY
Output transaction:
b097d52b5af2...3f49
Settlement height:
1,044,079
Value:
0.533858217 ERG
#4
9f4df241e16c...a0ec
Spent
Address:
9gwFTap8YaQE...SnXY
Output transaction:
77ea35c171c1...4b6d
Settlement height:
1,044,183
Value:
0.500841819 ERG
#5
7c7940efa36b...f322
Spent
Address:
9gwFTap8YaQE...SnXY
Output transaction:
60f25fd70118...246a
Settlement height:
1,044,348
Value:
0.547056377 ERG
#6
e5e01a605aa7...d3a2
Spent
Address:
9gwFTap8YaQE...SnXY
Output transaction:
21ba4f0c4e67...7e8a
Settlement height:
1,044,597
Value:
0.54265074 ERG
#7
684820475850...321b
Spent
Address:
9gwFTap8YaQE...SnXY
Output transaction:
f6aaef81fda1...7138
Settlement height:
1,044,781
Value:
0.622615554 ERG
#8
c89b3c772420...7492
Spent
Address:
9gwFTap8YaQE...SnXY
Output transaction:
116fb013afbb...2e1e
Settlement height:
1,044,977
Value:
0.640582886 ERG
#9
405baa01c736...9164
Spent
Address:
9gwFTap8YaQE...SnXY
Output transaction:
1ab991959a6c...9df5
Settlement height:
1,045,137
Value:
0.504866218 ERG
#10
61446b46e09d...64e7
Spent
Address:
9gwFTap8YaQE...SnXY
Output transaction:
497737fc1d53...e404
Settlement height:
1,045,370
Value:
0.554793628 ERG
#11
45ae95ac833d...ceac
Spent
Address:
9gwFTap8YaQE...SnXY
Output transaction:
d4110e084acc...3025
Settlement height:
1,045,524
Value:
0.57020546 ERG
#12
3a5a9ffc9aae...7047
Spent
Address:
9gwFTap8YaQE...SnXY
Output transaction:
3c99ec6cfe17...2fab
Settlement height:
1,045,684
Value:
0.558046879 ERG
#13
bda47366665e...f748
Spent
Address:
9gwFTap8YaQE...SnXY
Output transaction:
c6154f4d08ad...7908
Settlement height:
1,045,921
Value:
0.58847069 ERG
#14
f7444534c2fc...51ba
Spent
Address:
9gwFTap8YaQE...SnXY
Output transaction:
5ee82b864902...71a2
Settlement height:
1,046,034
Value:
0.623762733 ERG
#15
3f50cdfde963...0d54
Spent
Address:
9gwFTap8YaQE...SnXY
Output transaction:
9eb959483184...fb6b
Settlement height:
1,046,248
Value:
0.538083982 ERG
#16
6df152e56289...3136
Spent
Address:
9gwFTap8YaQE...SnXY
Output transaction:
594b98c3867d...7e16
Settlement height:
1,046,444
Value:
0.597485657 ERG
#17
c999f2edb007...90d7
Spent
Address:
9gwFTap8YaQE...SnXY
Output transaction:
209fa8b97064...a081
Settlement height:
1,046,667
Value:
0.503635646 ERG
#18
5dd3b1ea7973...269d
Spent
Address:
9gwFTap8YaQE...SnXY
Output transaction:
ad92ea2cd7f1...2f92
Settlement height:
1,046,718
Value:
8.16 ERG
Outputs (4)
#0
067c9553c556...f859
Spent
Address:
4eBg9MnazHt7...7fSL
Spent in transaction:
2a1fd6f924ab...02d7
Settlement height:
1,055,831
Value:
10 ERG
Tokens:
Loading assets...
#1
69efce4f8d80...f2f7
Spent
Address:
9iDQTr3zgNFU...uksW
Spent in transaction:
7c92eea97b3b...67cd
Settlement height:
1,055,831
Value:
7.9 ERG
#2
6e85c0dd56af...09ff
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
24041dd6d9c8...07d4
Settlement height:
1,055,831
Value:
0.005 ERG
#3
57c2696696c4...1881
Spent
Address:
9gwFTap8YaQE...SnXY
Spent in transaction:
38f193b50cf7...9257
Settlement height:
1,055,831
Value:
7.91 ERG
Transaction Details
Status: Confirmed
Size: 3.24 KB
Received time: 7/27/2023 04:16:23 AM
Included in blocks: 1,055,831
Confirmations: 701,098
Total coins transferred: 25.81 ERG
Fees: 0.005 ERG
Fees per byte: 0.000001506 ERG
Raw Transaction Data
{
  "id": "280cfde18de3a4e68d38e779b7d62c4f681cb0e7997d5681d09fa80499e541cd",
  "blockId": "28a33c17e2f42fa50cf7e7b7b94aea22470c15859133bcbfe04e8e82bcb61812",
  "inclusionHeight": 1055831,
  "timestamp": 1690431383920,
  "index": 8,
  "globalIndex": 5578292,
  "numConfirmations": 701098,
  "inputs": [
    {
      "boxId": "996079c86ce45daa18cf8bf6e7d162252caaccdf0d8ca797684637f9d29d1dc5",
      "value": 7900000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "a0e4c69c22d43ba3793d6b072bd5ecadc92ffb18d9d3b2e6391a32fd36a99f8b",
      "outputTransactionId": "6854cf6493f0d6224145fbfae4e6dfa0ba95ddbbe4e029ead5a8dea1fce5a11b",
      "outputIndex": 0,
      "outputGlobalIndex": 31295453,
      "outputCreatedAt": 1055818,
      "outputSettledAt": 1055820,
      "ergoTree": "103e0402040005000400040404000402040004000400040204060500040604000504040204d00f040004040414040404000400040004000406040005d00f05d00f05d00f04000400040404140406040005d00f040405d00f0400040604060400050001000101040204000402040004000500040004020400040204040500010004000e209ebcd694bf34db4ee3e2ccea0087ca42970743b9e019a1e8d145e8560467c60ed823d601db6308a7d602830002d603c1a7d604b27201730001860272027203d6058c720402d606c6a70611d607e47206d608b27207730100d609e4c6a7070ed60a95ec8f72057208948c720401720973027205d60be4c6a7040ed60cdb6903db6503fed60de4c6a70559d60e8c720d01d60f8c720d02d610b2db6501fe730300d611e4c672100404d612b2a5730401a7d613db63087212d614c17212d615860272027214d616b272137305017215d617b2a5730601a7d618db63087217d619c17217d61a860272027219d61bb27218730701721ad61c93c5b2a4730800c5a7d61db2a5730900d61edb6308721dd61fc1721dd62086027202721fd621b2721e730a017220d6228c722102d623b27207730b01730cea02eb02ea02d18f720a7208cdeeb4720b730db1720bd19591720c720e9591720c720fd812d624b1a5d625b2a5730e00d6269c730fe4c672100605d6277212d6287213d6297214d62a7215d62b7216d62c7217d62de5c6722c0463b2a5997224731000d62ec6722d0404d62fe6722ed63099997311721195722fd801d630e5722e731295ec8f723073139272307314723095ed9372307315e6c6722d050c4c0eb0e5c6722d050c4c0e83004c0e7316d90131404c0e9a8c7231018c8c7231020273177318d6317218d6327219d633721ad634721bd635b27201731900eced8f720a720896830401937224731a93db63087225720192c17225997203722693c27225720bed92720a720896830501721ceded93c27227720b928c722b029591b17209731b9d9c720a7e723005731c999d9c720a7e723005731d7226938c722b017209eded93c2722ce4c67210050e928c7234029d9c720a7e721105731e938c7234017209937235b2db6308b2a5731f01a7732000ed95722fd801d636e4722e95ec8f723673219272367322d802d637b2a5732301a7d638b2db6308723773240186027202c17237eded928c7238029d9c720a7e7236057325938c723801720993c27237c2722d95ed9372367326e6c6722d050c4c0ed802d637e5c6722d050c4c0e83004c0ed638b1723793b4ad7237d901394c0e86028c7239019d9c7e8c72390205720a732773287238adb4a573299a732a7238d9013963d801d63bb2db63087239732b0186027202c1723995938c723b0172098602c272398c723b0286027202732c732d732e93cbc3722d8c723501d808d624721dd625721ed626721fd6277220d6287221d629e4c672100711d62ab2a5732f00d62bb2db6308722a73300186027202c1722a96830c01721c938c7228017209927222a29a720ab27207733100720893b27201733200b2722573330093c27224c2a793e4c67224040e720b93e4c6722405598602720e95ed9172237334d801d62c722292722c7223720c959099720f720cb272297335009a720fb27229733600720f93c672240611720693e4c67224070e720993b172259593b1720973377338733993c2722ae4c6a7080eeced938c722b017209928c722b02720a93720a733a733bd1938cb2db63087210733c0001733d",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 2\n5: 0\n6: 1\n7: 0\n8: 0\n9: 0\n10: 1\n11: 3\n12: 0\n13: 3\n14: 0\n15: 2\n16: 1\n17: 1000\n18: 0\n19: 2\n20: 10\n21: 2\n22: 0\n23: 0\n24: 0\n25: 0\n26: 3\n27: 0\n28: 1000\n29: 1000\n30: 1000\n31: 0\n32: 0\n33: 2\n34: 10\n35: 3\n36: 0\n37: 1000\n38: 2\n39: 1000\n40: 0\n41: 3\n42: 3\n43: 0\n44: 0\n45: false\n46: true\n47: 1\n48: 0\n49: 1\n50: 0\n51: 0\n52: 0\n53: 0\n54: 1\n55: 0\n56: 1\n57: 2\n58: 0\n59: false\n60: 0\n61: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val coll1 = SELF.tokens\n  val coll2 = Coll[Byte]()\n  val l3 = SELF.value\n  val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n  val l5 = tuple4._2\n  val opt6 = SELF.R6[Coll[Long]]\n  val coll7 = opt6.get\n  val l8 = coll7(placeholder[Int](1))\n  val coll9 = SELF.R7[Coll[Byte]].get\n  val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n  val coll11 = SELF.R4[Coll[Byte]].get\n  val l12 = CONTEXT.preHeader.timestamp\n  val tuple13 = SELF.R5[(Long, Long)].get\n  val l14 = tuple13._1\n  val l15 = tuple13._2\n  val box16 = CONTEXT.dataInputs(placeholder[Int](3))\n  val i17 = box16.R4[Int].get\n  val box18 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll19 = box18.tokens\n  val l20 = box18.value\n  val tuple21 = (coll2, l20)\n  val tuple22 = coll19.getOrElse(placeholder[Int](5), tuple21)\n  val box23 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll24 = box23.tokens\n  val l25 = box23.value\n  val tuple26 = (coll2, l25)\n  val tuple27 = coll24.getOrElse(placeholder[Int](7), tuple26)\n  val bool28 = INPUTS(placeholder[Int](8)).id == SELF.id\n  val box29 = OUTPUTS(placeholder[Int](9))\n  val coll30 = box29.tokens\n  val l31 = box29.value\n  val tuple32 = (coll2, l31)\n  val tuple33 = coll30.getOrElse(placeholder[Int](10), tuple32)\n  val l34 = tuple33._2\n  val l35 = coll7.getOrElse(placeholder[Int](11), placeholder[Long](12))\n  sigmaProp(l10 < l8) && proveDlog(decodePoint(coll11.slice(placeholder[Int](13), coll11.size))) || sigmaProp(if (l12 > l14) { if (l12 > l15) {(\n        val i36 = OUTPUTS.size\n        val box37 = OUTPUTS(placeholder[Int](14))\n        val l38 = placeholder[Long](15) * box16.R6[Long].get\n        val box39 = box18\n        val coll40 = coll19\n        val l41 = l20\n        val tuple42 = tuple21\n        val tuple43 = tuple22\n        val box44 = box23\n        val box45 = box44.R4[Box].getOrElse(OUTPUTS(i36 - placeholder[Int](16)))\n        val opt46 = box45.R4[Int]\n        val bool47 = opt46.isDefined\n        val i48 = placeholder[Int](17) - i17 - if (bool47) {(\n          val i48 = opt46.getOrElse(placeholder[Int](18))\n          if ((i48 < placeholder[Int](19)) || (i48 >= placeholder[Int](20))) { i48 } else { if ((i48 == placeholder[Int](21)) && box45.R5[Coll[(Coll[Byte], Int)]].isDefined) { box45.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](22), {(tuple49: (Int, (Coll[Byte], Int))) => tuple49._1 + tuple49._2._2 }) } else { placeholder[Int](23) } }\n        )} else { placeholder[Int](24) }\n        val coll49 = coll24\n        val l50 = l25\n        val tuple51 = tuple26\n        val tuple52 = tuple27\n        val tuple53 = coll1(placeholder[Int](25))\n        ((l10 < l8) && allOf(Coll[Boolean](i36 == placeholder[Int](26), box37.tokens == coll1, box37.value >= l3 - l38, box37.propositionBytes == coll11))) || ((l10 >= l8) && allOf(Coll[Boolean](bool28, ((box39.propositionBytes == coll11) && (tuple43._2 >= if (coll9.size > placeholder[Int](27)) { l10 * i48.toLong / placeholder[Long](28) } else { l10 * i48.toLong / placeholder[Long](29) - l38 })) && (tuple43._1 == coll9), ((box44.propositionBytes == box16.R5[Coll[Byte]].get) && (tuple52._2 >= l10 * i17.toLong / placeholder[Long](30))) && (tuple52._1 == coll9), tuple53 == OUTPUTS.getOrElse(placeholder[Int](31), SELF).tokens(placeholder[Int](32)), if (bool47) {(\n                val i54 = opt46.get\n                if ((i54 < placeholder[Int](33)) || (i54 >= placeholder[Int](34))) {(\n                  val box55 = OUTPUTS.getOrElse(placeholder[Int](35), SELF)\n                  val tuple56 = box55.tokens.getOrElse(placeholder[Int](36), (coll2, box55.value))\n                  ((tuple56._2 >= l10 * i54.toLong / placeholder[Long](37)) && (tuple56._1 == coll9)) && (box55.propositionBytes == box45.propositionBytes)\n                )} else { if ((i54 == placeholder[Int](38)) && box45.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                    val coll55 = box45.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                    val i56 = coll55.size\n                    coll55.map({(tuple57: (Coll[Byte], Int)) => (tuple57._1, tuple57._2.toLong * l10 / placeholder[Long](39)) }).slice(placeholder[Int](40), i56) == OUTPUTS.slice(placeholder[Int](41), placeholder[Int](42) + i56).map({(box57: Box) =>\n                        val tuple59 = box57.tokens.getOrElse(placeholder[Int](43), (coll2, box57.value))\n                        if (tuple59._1 == coll9) { (box57.propositionBytes, tuple59._2) } else { (coll2, placeholder[Long](44)) }\n                      })\n                  )} else { placeholder[Boolean](45) } }\n              )} else { placeholder[Boolean](46) } && (blake2b256(box45.bytes) == tuple53._1))))\n      )} else {(\n        val box36 = box29\n        val coll37 = coll30\n        val l38 = l31\n        val tuple39 = tuple32\n        val tuple40 = tuple33\n        val coll41 = box16.R7[Coll[Long]].get\n        val box42 = OUTPUTS(placeholder[Int](47))\n        val tuple43 = box42.tokens.getOrElse(placeholder[Int](48), (coll2, box42.value))\n        allOf(Coll[Boolean](bool28, tuple40._1 == coll9, l34 >= max(l10 + coll7(placeholder[Int](49)), l8), coll1(placeholder[Int](50)) == coll37(placeholder[Int](51)), box36.propositionBytes == SELF.propositionBytes, box36.R4[Coll[Byte]].get == coll11, box36.R5[(Long, Long)].get == (l14, if ((l35 > placeholder[Long](52)) && \n                val l44 = l34\n                l44 >= l35\n              ) { l12 } else { if (l15 - l12 <= coll41(placeholder[Int](53))) { l15 + coll41(placeholder[Int](54)) } else { l15 } }), box36.R6[Coll[Long]] == opt6, box36.R7[Coll[Byte]].get == coll9, coll37.size == if (coll9.size == placeholder[Int](55)) { placeholder[Int](56) } else { placeholder[Int](57) }, box42.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple43._1 == coll9) && (tuple43._2 >= l10)) || (l10 == placeholder[Long](58))))\n      )} } else { placeholder[Boolean](59) }) && sigmaProp(box16.tokens(placeholder[Int](60))._1 == placeholder[Coll[Byte]](61))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "a123d6f8a9d2cd1de81c201ab4dae01c6b98a1955cef747e503bef25a1df036c",
          "index": 0,
          "amount": 1,
          "name": "Peperg #2",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59a88b92afb262d0829e86b562",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1690387497684,1690747257000]"
        },
        "R6": {
          "serializedValue": "110280a8d6b90780a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd03e6b1b34ce35f4a9982269e4760503d2dc56db823861f8702ed271fba9aa262c4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03e6b1b34ce35f4a9982269e4760503d2dc56db823861f8702ed271fba9aa262c4"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
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        "R4": {
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      "address": "9gwFTap8YaQEzsMAXdt4pa1BjAsR9gcijMMuxTRrAf4vgMhSnXY",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "573d9010b852894b9f99bc072933e6cfa115b490f857451e385dbc2e8448cf7c",
      "value": 4219364,
      "index": 0,
      "outputBlockId": "b3cfb684232fe21e89a8132c966b08c6772b72369822c397d25a7bc8e98c9bda",
      "outputTransactionId": "aa58e9d389d3044fda4201159d5d62752e0820f8d0b8506cec28ac4fd0ea826e",
      "outputIndex": 0,
      "ergoTree": "0008cd03b04048a9708f0a2b109d75513a2483e3b9ede622efb3cc03bdddf93bccd93ac5",
      "address": "9hoRnjysKfkwZSCgSFNzSXMohwYn8DqruuYxD6vT7Ubw55qnwiZ",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8"
        },
        "R6": {
          "serializedValue": "0580dac409",
          "sigmaType": "SLong",
          "renderedValue": "10000000"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "110280dddb0180fca402",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1800000,2400000]"
        },
        "R4": {
          "serializedValue": "0428",
          "sigmaType": "SInt",
          "renderedValue": "20"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "067c9553c556086977f8f09d5432672444f827e5f12a9ee15a27367d2c1ef859",
      "transactionId": "280cfde18de3a4e68d38e779b7d62c4f681cb0e7997d5681d09fa80499e541cd",
      "blockId": "28a33c17e2f42fa50cf7e7b7b94aea22470c15859133bcbfe04e8e82bcb61812",
      "value": 10000000000,
      "index": 0,
      "globalIndex": 31295822,
      "creationHeight": 1055828,
      "settlementHeight": 1055831,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 2\n5: 0\n6: 1\n7: 0\n8: 0\n9: 0\n10: 1\n11: 3\n12: 0\n13: 3\n14: 0\n15: 2\n16: 1\n17: 1000\n18: 0\n19: 2\n20: 10\n21: 2\n22: 0\n23: 0\n24: 0\n25: 0\n26: 3\n27: 0\n28: 1000\n29: 1000\n30: 1000\n31: 0\n32: 0\n33: 2\n34: 10\n35: 3\n36: 0\n37: 1000\n38: 2\n39: 1000\n40: 0\n41: 3\n42: 3\n43: 0\n44: 0\n45: false\n46: true\n47: 1\n48: 0\n49: 1\n50: 0\n51: 0\n52: 0\n53: 0\n54: 1\n55: 0\n56: 1\n57: 2\n58: 0\n59: false\n60: 0\n61: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val coll1 = SELF.tokens\n  val coll2 = Coll[Byte]()\n  val l3 = SELF.value\n  val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n  val l5 = tuple4._2\n  val opt6 = SELF.R6[Coll[Long]]\n  val coll7 = opt6.get\n  val l8 = coll7(placeholder[Int](1))\n  val coll9 = SELF.R7[Coll[Byte]].get\n  val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n  val coll11 = SELF.R4[Coll[Byte]].get\n  val l12 = CONTEXT.preHeader.timestamp\n  val tuple13 = SELF.R5[(Long, Long)].get\n  val l14 = tuple13._1\n  val l15 = tuple13._2\n  val box16 = CONTEXT.dataInputs(placeholder[Int](3))\n  val i17 = box16.R4[Int].get\n  val box18 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll19 = box18.tokens\n  val l20 = box18.value\n  val tuple21 = (coll2, l20)\n  val tuple22 = coll19.getOrElse(placeholder[Int](5), tuple21)\n  val box23 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll24 = box23.tokens\n  val l25 = box23.value\n  val tuple26 = (coll2, l25)\n  val tuple27 = coll24.getOrElse(placeholder[Int](7), tuple26)\n  val bool28 = INPUTS(placeholder[Int](8)).id == SELF.id\n  val box29 = OUTPUTS(placeholder[Int](9))\n  val coll30 = box29.tokens\n  val l31 = box29.value\n  val tuple32 = (coll2, l31)\n  val tuple33 = coll30.getOrElse(placeholder[Int](10), tuple32)\n  val l34 = tuple33._2\n  val l35 = coll7.getOrElse(placeholder[Int](11), placeholder[Long](12))\n  sigmaProp(l10 < l8) && proveDlog(decodePoint(coll11.slice(placeholder[Int](13), coll11.size))) || sigmaProp(if (l12 > l14) { if (l12 > l15) {(\n        val i36 = OUTPUTS.size\n        val box37 = OUTPUTS(placeholder[Int](14))\n        val l38 = placeholder[Long](15) * box16.R6[Long].get\n        val box39 = box18\n        val coll40 = coll19\n        val l41 = l20\n        val tuple42 = tuple21\n        val tuple43 = tuple22\n        val box44 = box23\n        val box45 = box44.R4[Box].getOrElse(OUTPUTS(i36 - placeholder[Int](16)))\n        val opt46 = box45.R4[Int]\n        val bool47 = opt46.isDefined\n        val i48 = placeholder[Int](17) - i17 - if (bool47) {(\n          val i48 = opt46.getOrElse(placeholder[Int](18))\n          if ((i48 < placeholder[Int](19)) || (i48 >= placeholder[Int](20))) { i48 } else { if ((i48 == placeholder[Int](21)) && box45.R5[Coll[(Coll[Byte], Int)]].isDefined) { box45.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](22), {(tuple49: (Int, (Coll[Byte], Int))) => tuple49._1 + tuple49._2._2 }) } else { placeholder[Int](23) } }\n        )} else { placeholder[Int](24) }\n        val coll49 = coll24\n        val l50 = l25\n        val tuple51 = tuple26\n        val tuple52 = tuple27\n        val tuple53 = coll1(placeholder[Int](25))\n        ((l10 < l8) && allOf(Coll[Boolean](i36 == placeholder[Int](26), box37.tokens == coll1, box37.value >= l3 - l38, box37.propositionBytes == coll11))) || ((l10 >= l8) && allOf(Coll[Boolean](bool28, ((box39.propositionBytes == coll11) && (tuple43._2 >= if (coll9.size > placeholder[Int](27)) { l10 * i48.toLong / placeholder[Long](28) } else { l10 * i48.toLong / placeholder[Long](29) - l38 })) && (tuple43._1 == coll9), ((box44.propositionBytes == box16.R5[Coll[Byte]].get) && (tuple52._2 >= l10 * i17.toLong / placeholder[Long](30))) && (tuple52._1 == coll9), tuple53 == OUTPUTS.getOrElse(placeholder[Int](31), SELF).tokens(placeholder[Int](32)), if (bool47) {(\n                val i54 = opt46.get\n                if ((i54 < placeholder[Int](33)) || (i54 >= placeholder[Int](34))) {(\n                  val box55 = OUTPUTS.getOrElse(placeholder[Int](35), SELF)\n                  val tuple56 = box55.tokens.getOrElse(placeholder[Int](36), (coll2, box55.value))\n                  ((tuple56._2 >= l10 * i54.toLong / placeholder[Long](37)) && (tuple56._1 == coll9)) && (box55.propositionBytes == box45.propositionBytes)\n                )} else { if ((i54 == placeholder[Int](38)) && box45.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                    val coll55 = box45.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                    val i56 = coll55.size\n                    coll55.map({(tuple57: (Coll[Byte], Int)) => (tuple57._1, tuple57._2.toLong * l10 / placeholder[Long](39)) }).slice(placeholder[Int](40), i56) == OUTPUTS.slice(placeholder[Int](41), placeholder[Int](42) + i56).map({(box57: Box) =>\n                        val tuple59 = box57.tokens.getOrElse(placeholder[Int](43), (coll2, box57.value))\n                        if (tuple59._1 == coll9) { (box57.propositionBytes, tuple59._2) } else { (coll2, placeholder[Long](44)) }\n                      })\n                  )} else { placeholder[Boolean](45) } }\n              )} else { placeholder[Boolean](46) } && (blake2b256(box45.bytes) == tuple53._1))))\n      )} else {(\n        val box36 = box29\n        val coll37 = coll30\n        val l38 = l31\n        val tuple39 = tuple32\n        val tuple40 = tuple33\n        val coll41 = box16.R7[Coll[Long]].get\n        val box42 = OUTPUTS(placeholder[Int](47))\n        val tuple43 = box42.tokens.getOrElse(placeholder[Int](48), (coll2, box42.value))\n        allOf(Coll[Boolean](bool28, tuple40._1 == coll9, l34 >= max(l10 + coll7(placeholder[Int](49)), l8), coll1(placeholder[Int](50)) == coll37(placeholder[Int](51)), box36.propositionBytes == SELF.propositionBytes, box36.R4[Coll[Byte]].get == coll11, box36.R5[(Long, Long)].get == (l14, if ((l35 > placeholder[Long](52)) && \n                val l44 = l34\n                l44 >= l35\n              ) { l12 } else { if (l15 - l12 <= coll41(placeholder[Int](53))) { l15 + coll41(placeholder[Int](54)) } else { l15 } }), box36.R6[Coll[Long]] == opt6, box36.R7[Coll[Byte]].get == coll9, coll37.size == if (coll9.size == placeholder[Int](55)) { placeholder[Int](56) } else { placeholder[Int](57) }, box42.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple43._1 == coll9) && (tuple43._2 >= l10)) || (l10 == placeholder[Long](58))))\n      )} } else { placeholder[Boolean](59) }) && sigmaProp(box16.tokens(placeholder[Int](60))._1 == placeholder[Coll[Byte]](61))\n}",
      "address": "4eBg9MnazHt7fBGchWNqZsXszPBQSBbq1io5nXkVqdLHEAKm9hbQ4yarrfPjXRDupHeUb1U9rutPJ2vdopfjUH4ruia8cTD3XiNSx8ESs9gq6r6L6QDfm8YDA6cQhY22cyTQ2qcuiAPsbdgwZUwJiNSZq2U6vCvDYuxVWbqhgt2cerXg5LLaPu1xUwwY4FvnUjXPtxuXm7fVK4PcNqRj5Uhn1izUHKAgSrFN6MN1vDd7bJyKaXePhmzYMfWzBMF7a11F4k2KgVpNxtFZdd4LNcpjuqTr7pb88t6xp8Kqa6FkmSYCzaVajuf6BFLFyL76D7PuuKZVkYyebqMPr4Y5txrgzr9G1khjZQ1bvQUFneTtTTjyAn3JkXMRm4xovviZJdadazLgujMgrUjyPJT1JbJVeRCRPTPanjTGaEha5XMV9vneCobDDjtcQ7SxwuwhoV1vu1aBjuaBV9fEXse9qPeQ8VJGfQtQzRL5t1MMY3hq5pTF2jCNQVkZoP1mGTfSm33TpnjHntKzJkujDDNXuDUmapzNvj17YBx7fhAYA5H9fLoKnPydtVTH1vucG8TV5JVbhe6utxV2VfTSFHHXw1FxSD3r1H1zdrAtZYcyWrSCkqJJdPrwmD3WkeZRHtGcRssZY1cKUGVFP4bZaAjLLT2pa955gPfh5hrRtzT23VSBDdQ5SUrQcADbuEkVFg4rrGU5gpC8Tn8KT2rvnStZvAMwgJrSuhYVEnuHCy2uxF8Wpyikf4r6BfQUsfpKu7arxTrBeYfaafXYbXMgf5PK7fPdAqRjpW5Nw88Snyatv2YCCi3tosvV5UbCKMnUG6CCoMLh6ziaxJJgUaZaFEyofZzALMqbjh5xhLrp1U5zXZp5VUvDRpZMTnmp5hQ2Y5gsY1H8g2XjbM5J6C8F4KS4xkSKTnShePVJjApBPYm5wscwxwrAfjqF1ScgfsFirf3ebrW9Dm6wmVqBCVQbpb7kutjAeAKCYwdLLUbSZCZDqQD9HAUSjeP7QHsnjywytUMQoXZSoiLbiKz7LoDXae2midfub4YQKmdSYfuzva9Ui7VHJgT9KZbruLNKpHhWgUa1NmMGzk1SHADxDth3EM7xfQqXEoA1ne6EwEYu13Z16x96yXgkdNHutLE81GbCHqKSzUhJyKDC8HRFgV9UPv8Xtz5WWfV5ywC7ekwNMRi3azv5SKtfAgkGDTohn5GFq7X9hJzdySY9QiiCNqZ5xRYz1jugRhDyGCXSvGoY5Huru1Ar9Z6kofDS7p7mLekkQ9AbmbZBHtEHFyPBsR6h7Ti2ZT1HmcayPP1p5rehgKXgRfXsNxfXXdBmgkGK5LWjUe9L6TV9Lomi7NsJjoTNUsh6mE3xtafdvsBw3eYwDXVwPoa6G59Jk6ZhnFVUhE5VJy8MN8gQ7GYBC3YdNfSrE5vS7hLsaWcZfmnjbN1Q3xqC1TGqLJr2tCGY5p8sXwRg8N2SaGtL4vBmw65uH5fn2t2XU1aTyCcFyEtSinJ6npm8kPhFgYtGknD1uxN4NXZNKUW7uLRX4EvhEHLfptDXqyXD1KRURoESs3kqDxd4bjt4Y79Vexgf5wwXcwocepbYoFnvJbqfQYRo57kXWG6eRLhLuLN4cFLDCuzu1aZGxFh1AAnLQ5xx6a39987jUUVNsyzPPqqKyAiLFusVazUEWXxCPF9Yhxzt256QEuJDjji1DZJUd54tabSHgwLMEvNp221GuRcgD5yfvXu89zAdj7fSL",
      "assets": [
        {
          "tokenId": "a123d6f8a9d2cd1de81c201ab4dae01c6b98a1955cef747e503bef25a1df036c",
          "index": 0,
          "amount": 1,
          "name": "Peperg #2",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59a88b92afb262d0829e86b562",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1690387497684,1690747257000]"
        },
        "R6": {
          "serializedValue": "110280a8d6b90780a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd033e50c978d272f54dfd11f0eeac8f05e08c5ab21418ef9688d5f46edd151c38e3",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd033e50c978d272f54dfd11f0eeac8f05e08c5ab21418ef9688d5f46edd151c38e3"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd03e9566dc2c13782713590509d25e0a9fae773bee9901459cfd73edb2bd53e95e4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03e9566dc2c13782713590509d25e0a9fae773bee9901459cfd73edb2bd53e95e4"
        }
      },
      "spentTransactionId": "2a1fd6f924ab0e7782ef5d7be033125bd6bfcdd4dbcf2cb908e105bcc3f402d7",
      "mainChain": true
    },
    {
      "boxId": "69efce4f8d80dfa2c053e0d51c542fb81fd4b4c08a17e3914b3ae96ee032f2f7",
      "transactionId": "280cfde18de3a4e68d38e779b7d62c4f681cb0e7997d5681d09fa80499e541cd",
      "blockId": "28a33c17e2f42fa50cf7e7b7b94aea22470c15859133bcbfe04e8e82bcb61812",
      "value": 7900000000,
      "index": 1,
      "globalIndex": 31295823,
      "creationHeight": 1055828,
      "settlementHeight": 1055831,
      "ergoTree": "0008cd03e6b1b34ce35f4a9982269e4760503d2dc56db823861f8702ed271fba9aa262c4",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e6b1b3,a542e2,...)))}",
      "address": "9iDQTr3zgNFUakgw3aywCkyn5S5hhf7xGpTKuM89GeMLuPnuksW",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "7c92eea97b3b30a3600a3c979ff30ec9148a08ad7ad9e68f7f8a5c77807067cd",
      "mainChain": true
    },
    {
      "boxId": "6e85c0dd56af386d0b73f5f7aac8fec386554e64082cda9c96f09105b90b09ff",
      "transactionId": "280cfde18de3a4e68d38e779b7d62c4f681cb0e7997d5681d09fa80499e541cd",
      "blockId": "28a33c17e2f42fa50cf7e7b7b94aea22470c15859133bcbfe04e8e82bcb61812",
      "value": 5000000,
      "index": 2,
      "globalIndex": 31295824,
      "creationHeight": 1055828,
      "settlementHeight": 1055831,
      "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": "24041dd6d9c8fd34cf70fa8a33e4b164b2118ef4d146a4f19f545cc3c0fa07d4",
      "mainChain": true
    },
    {
      "boxId": "57c2696696c4114b838172b070a543114507927d4f94b5477c7ed4afcf271881",
      "transactionId": "280cfde18de3a4e68d38e779b7d62c4f681cb0e7997d5681d09fa80499e541cd",
      "blockId": "28a33c17e2f42fa50cf7e7b7b94aea22470c15859133bcbfe04e8e82bcb61812",
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