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Transaction

3/25/2024 06:59:26 PM
ID: efebf32aff...9821
Inputs (2)
#0
a8bb69308022...8765
Spent
Address:
9euLk6oVwEKS...pHj7
Output transaction:
8ca066c1b3b2...af64
Settlement height:
1,228,044
Value:
2.55 ERG
Tokens:
Loading assets...
#1
d24881626ea4...1223
Spent
Address:
9euLk6oVwEKS...pHj7
Output transaction:
be23f8fdd67c...71b3
Settlement height:
1,228,716
Value:
34 ERG
Outputs (35)
#0
2b524a36b04c...5eab
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#1
08c29a5dadbc...1181
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#2
def028d8d0d0...ae4c
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#3
0090b5b8dde7...b2a8
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#4
3a341be9a613...2268
Spent
Address:
Auction House (quE2)
Spent in transaction:
0a6b58f2c184...c048
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#5
66ae1e75b1fb...beb2
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#6
b1b47d6bfd72...b54f
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#7
e539a0fe9de9...f6b7
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#8
931932a2fb18...9588
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#9
8c2b86ccbd57...885d
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#10
7360d9a73fd8...df98
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#11
f7f88fb1fd71...cf8e
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#12
9e573f0242c2...9003
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#13
67a15c3ade4a...2389
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#14
29a5c16e897a...3833
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#15
942129944abf...5c9b
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#16
e7a7943caf2a...aad8
Spent
Address:
Auction House (quE2)
Spent in transaction:
2670087173d3...6429
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#17
c646b625cb09...d08f
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#18
5a9f8da846a0...d783
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#19
cf62c85447ed...98ff
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#20
0e65f1c438c7...bc89
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#21
df5864bfd1b4...b20f
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#22
4b29042ead5c...538d
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#23
0125e89a4246...9352
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#24
e776bf01dd08...6dd5
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#25
0037416bc3c6...5255
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#26
b55a1fa54e34...0275
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#27
ab20656ddba9...7548
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#28
e2d453e63499...7e03
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#29
63545f016b6e...9419
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#30
e1567a5cc554...6bc2
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#31
a9714506bd73...e1de
Unspent
Address:
Auction House (quE2)
Settlement height:
1,228,719
Value:
0.015 ERG
Tokens:
Loading assets...
#32
d0c8c6717bc4...3070
Spent
Address:
9euLk6oVwEKS...pHj7
Spent in transaction:
ea4fccda8edb...346b
Settlement height:
1,228,719
Value:
31.26 ERG
Tokens:
Loading assets...
#33
7ee0a6ed2772...c9f3
Spent
Address:
9gjghouPwq9T...Azvo
Spent in transaction:
f30023be4453...cf73
Settlement height:
1,228,719
Value:
4.8 ERG
#34
4650253e1be9...b1e8
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
1630f2896ada...dbd0
Settlement height:
1,228,719
Value:
0.005 ERG
Transaction Details
Status: Confirmed
Size: 33.36 KB
Received time: 3/25/2024 06:59:26 PM
Included in blocks: 1,228,719
Confirmations: 530,042
Total coins transferred: 36.55 ERG
Fees: 0.005 ERG
Fees per byte: 0.000000146 ERG
Raw Transaction Data
{
  "id": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
  "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
  "inclusionHeight": 1228719,
  "timestamp": 1711393166676,
  "index": 1,
  "globalIndex": 6888280,
  "numConfirmations": 530042,
  "inputs": [
    {
      "boxId": "a8bb69308022af3267cd1f77ec14ff2dc8defff3c64baf4ece1649dc717e8765",
      "value": 2545232795,
      "index": 0,
      "spendingProof": "1fc7b7b147b5deb94cdca72dd113d35e8018056327fe8f32de5693c0243dea7f2a4fa504620dc6523fac7b1eabfee49d0d2c147925685dd0",
      "outputBlockId": "a78181c949d5393a4fe10be50fa89c83d07dfb3ad245cb34511fe62f146741c0",
      "outputTransactionId": "8ca066c1b3b20c354673cf7f0b011b7d3f01149dd990eb2d9d45d9156c59af64",
      "outputIndex": 2,
      "outputGlobalIndex": 38439341,
      "outputCreatedAt": 1228041,
      "outputSettledAt": 1228044,
      "ergoTree": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3296ca,9154f2,...)))}",
      "address": "9euLk6oVwEKSCQxCE6qj1vKcFjzk9Toy4YPyC9JB5uPmtLnpHj7",
      "assets": [
        {
          "tokenId": "95c3a17749fd9372b9afcfc42751438d78379769b87828723a935f2449d67caf",
          "index": 0,
          "amount": 1,
          "name": "Peperg #42",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "efe7b58f4b5ff8a653119f7b05b99aac3e7870a449987aa269171375918c680c",
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        {
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        {
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          "index": 3,
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          "type": "EIP-004"
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        {
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          "amount": 1,
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          "decimals": 0,
          "type": "EIP-004"
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        {
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          "index": 5,
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          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "name": "Peperg #12",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "type": "EIP-004"
        },
        {
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          "type": "EIP-004"
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        {
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        {
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        {
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        {
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        {
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          "type": "EIP-004"
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        {
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          "type": "EIP-004"
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        {
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          "type": "EIP-004"
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        {
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          "type": "EIP-004"
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        {
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        {
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        {
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        {
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        {
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        {
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        {
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        {
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          "type": "EIP-004"
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        {
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        {
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        {
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        {
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        {
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        {
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        {
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          "index": 35,
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          "name": "Peperg #152",
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          "type": "EIP-004"
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        {
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          "name": "Peperg #94",
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          "type": "EIP-004"
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        {
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          "index": 37,
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          "name": "Peperg #179",
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          "type": "EIP-004"
        },
        {
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          "index": 38,
          "amount": 1,
          "name": "Peperg #73",
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          "type": "EIP-004"
        },
        {
          "tokenId": "1194c21685856fde0ac36d72baf51294540f32fb6ab13759b71cade772e36b08",
          "index": 39,
          "amount": 1,
          "name": "Peperg #176",
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          "type": "EIP-004"
        },
        {
          "tokenId": "3da7798cb89ec005b16bbd93c147062798e47af5d207624ede3f442fe1a26bb8",
          "index": 40,
          "amount": 1,
          "name": "Peperg #59",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0e8d91fe743c7397ef6fc96d323c537a6bdf852608c8dac5794ae1557ed21d75",
          "index": 41,
          "amount": 1,
          "name": "Peperg #117",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "6122814cfc602c63924d57abe13272715e3133188c980f52d9b0b0e1e4b7c5e5",
          "index": 42,
          "amount": 1,
          "name": "Peperg #164",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "9e051a7c004b21096dc661ff6ddeb9785f1dedbaa698023d7961dc68ef243564",
          "index": 43,
          "amount": 1,
          "name": "Peperg #149",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "b0ec3a7114cc1b708fa6f9db51d9e768188a3f0933a5d5309e261d759d839447",
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      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "c482af22859f126eca751ed2d3c032c7cd52b95a9ee4064ee34a0dd67f12d4e6",
          "index": 0,
          "amount": 1,
          "name": "Peperg #182",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59eae6d2efce63e093aaaf846b",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393102261,1838832502000]"
        },
        "R6": {
          "serializedValue": "110380d0dbc3f4020002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[50000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "08c29a5dadbcb97d80e0f17ae53a226cad9972e8b3eeaa4e6d6f0d9667101181",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 1,
      "globalIndex": 38460897,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "19c4028d7b7075ed99d0ffca5c68d92d4426235e80df00cd4405f1f377274104",
          "index": 0,
          "amount": 1,
          "name": "Peperg #73",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "599cb3d4efce639cb4dae4d56e",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393115342,1901299715342]"
        },
        "R6": {
          "serializedValue": "11038090dfc04a0002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "def028d8d0d045255107c8326d2e202f6551f6d3e8b0ef9ff2f7f6db0781ae4c",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 2,
      "globalIndex": 38460898,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "102c04000400040404020404040004020400040604000406050404020400040004d00f040004040414040404000400040005d00f05d00f04000400040404140406040005d00f040405d00f0400040604060400050001000101010004000e209ebcd694bf34db4ee3e2ccea0087ca42970743b9e019a1e8d145e8560467c60ed814d601e4c6a7040ed602db6903db6503fed603e4c6a70559d6048c720301d605b2db6501fe730000d606e4c672050404d607e4c6a70611d60899b272077301009c9d9972027204b27207730200b27207730300d609b2a5730401a7d60adb63087209d60b830002d60cc17209d60d8602720b720cd60eb2720a730501720dd60fe4c6a7070ed610b2a5730601a7d611db63087210d612c17210d6138602720b7212d614b272117307017213ea02eb02cdeeb472017308b17201d1959172027204959172028c720302d801d615b2a57309009683040193b1a5730a93db63087215db6308a792c1721599c1a79c730be4c67205060593c272157201d80fd6157209d616720ad617720bd618720cd619720dd61a720ed61b7210d61ce5c6721b0463b2a599b1a5730c00d61dc6721c0404d61ee6721dd61f7211d6207212d6217213d6227214d623b2db6308a7730d009683050193c5b2a4730e00c5a7eded93c272157201928c721a029d9c72087e9999730f720695721ed801d624e5721d731095ec8f722473119272247312722495ed9372247313e6c6721c050c4c0eb0e5c6721c050c4c0e83004c0e7314d90125404c0e9a8c7225018c8c7225020273157316057317938c721a01720feded93c2721be4c67205050e928c7222029d9c72087e7206057318938c722201720f937223b2db6308b2a5731901a7731a00ed95721ed801d624e4721d95ec8f7224731b927224731cd802d625b2a5731d01a7d626b2db63087225731e0186027217c17225eded928c7226029d9c72087e722405731f938c722601720f93c27225c2721c95ed9372247320e6c6721c050c4c0ed802d625e5c6721c050c4c0e83004c0ed626b1722593b4ad7225d901274c0e86028c7227019d9c7e8c722702057208732173227226adb4a573239a73247226d9012763d801d629b2db6308722773250186027217c1722795938c722901720f8602c272278c7229028602721773267327732893cbc3721c8c7223017329d1938cb2db63087205732a0001732b",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "17bfc9ceb4b669a22981a68998aa33e67ff27fc85b21e3bae7ce12fcabac7ce5",
          "index": 0,
          "amount": 1,
          "name": "Peperg #82",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "599cb3d4efce639cb4dae4d56e",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393115342,1901299715342]"
        },
        "R6": {
          "serializedValue": "11038090dfc04a0002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "0090b5b8dde7537c684322b80c31b3fa188fd4642c5536cfcf93f5f1208ab2a8",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 3,
      "globalIndex": 38460899,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "09e38df0d69a229d83811a4cc448fe4b36136e6532576d71f5f034a7196f34fb",
          "index": 0,
          "amount": 1,
          "name": "Peperg #80",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "599cb3d4efce639cb4dae4d56e",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393115342,1901299715342]"
        },
        "R6": {
          "serializedValue": "11038090dfc04a0002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "3a341be9a6136225857620ac5a7bd135c5f0766f90ec1f175d09e967b8ae2268",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 4,
      "globalIndex": 38460900,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "0c104cc4424806af96f2ef58ffd2232d2a82b8e929dfb323eca1715afc08e312",
          "index": 0,
          "amount": 1,
          "name": "Peperg #88",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": "0a6b58f2c18430c731d12dd797ddb0188d5bd6debfb4c28fbc97e6cb4f43c048",
      "mainChain": true
    },
    {
      "boxId": "66ae1e75b1fbe70ef7d8a2b61c1f971115bd38f921a8dd4c026b99b9337bbeb2",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 5,
      "globalIndex": 38460901,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1d8c16c50e2192bf78fa6c7820af43d0a24ff368eb27b3701353bb62b4fed15e",
          "index": 0,
          "amount": 1,
          "name": "Peperg #85",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "b1b47d6bfd72f82892b6985e64a98599f5861cdeae343f22c4a74f4ae52db54f",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 6,
      "globalIndex": 38460902,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "13adaec8e48a93fc3afc6c69f8f1783c189222f9f68d9af5b8e0067cfe27061e",
          "index": 0,
          "amount": 1,
          "name": "Peperg #49",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "e539a0fe9de90fe0ffc200ebec27534c99cdcdb18a7304271c077898f863f6b7",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 7,
      "globalIndex": 38460903,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "2131db395f674a0b0766bd0a8de101e1b25a6ccec1b5e2628d44ed1f6a79f643",
          "index": 0,
          "amount": 1,
          "name": "Peperg #96",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "931932a2fb186e89cb6852f913682d12c649e91198c107f28204de2491769588",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 8,
      "globalIndex": 38460904,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1eaef5adbb99e0738c150995664ef01c739151c908d9b1fad66aa90b876c2a04",
          "index": 0,
          "amount": 1,
          "name": "Peperg #43",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "8c2b86ccbd571abfafaab5b126929005849ada7f67fb0a226f349a0f8a52885d",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 9,
      "globalIndex": 38460905,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "0f0555a4aef95c644578f99dc3194a1d764b6941c73b08ff55ce5e884d1214e5",
          "index": 0,
          "amount": 1,
          "name": "Peperg #89",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "7360d9a73fd81f76f27f9aa6a89ab4e10ca0a81a29da140280c4bd2264b1df98",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 10,
      "globalIndex": 38460906,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "quE2HvwgAp7z8q4tD1BfCfj72TPziUHqruk3L8jUWQ7bWGD7ugdkpkgYx9kztPTmJborN4baTrHuenaZrCtoB3VHeLjQUQACzZ67qpnMGUAyGs93mUpwodKekvSM8Y6rCFVMxFw76MD8ZUjMPd2J8awcfECurL9v6HkjFnzKJr72NXdQ18XYYGRneXbbkgU5qzUKTLoC2weUGsDpNhfDh9xBGV7CYconikP79c9b3ZcquSBdNCu4G5r2uvBVTHXaFgk5TioeSL4SqwS5sugeEeicTPre842uZBzNd7B3XqE75Rjum1bz1vBgGtadMqt2XRui7tqaK44LjeYfds3N4CWZsYwx69h2PpHFrU9Mzvvj3ju6XGVS5X6GnyGgttXiHgokZPhD45m2etzAUXovNPeutrw5zmQudCh9jXBSfujXDBPS7ohC7qLj3Hj4zfRJTmUzPNMEUGLED57kowMXdAq95h4LciSLcNgZjM3dAwVkkPFgTnu1gvFSR6HAb78d8cx4khpf5bvtPpRxLk1vXeqRxBagUQwgaTBJUEAbxF9bfs7TQBzboKL5krjpqXKydYQb5pbZ64bRk6U6hzNjmn8XEexRE8RACaJrk9MvtXVVqJRyKRkWRvMKgo3QtfXR1qNZcXKV5AHzwCPfHXfxXAkSkEPPXFxYyj33KLuuLAw7LyWqL1v6fFXzohq1oZB3tqXGZbksri3i86cCtMoUFUCUHT2BgCxUmQVGnuUvNTe69PU5VKraGowqUo8MJFXS7njsW7uZyK867qZpPPXwu2fLgK2whDihx6JKY1Ub3aw3mUkjbdqhMxSh4m6ZhD2piJYwtiEb7juZhrhVWVqaJDFCc2aED8Vdc1Z4W9pEt8UKhHcLcHn6CiaSHiyhFwRY3bMuVZwtY2XFwzQRSfW2VyYoC5Dqby43xYuEHe1Ld7ANMsXgHzwwkisdt4rQ1EHMynXM6926DEVYewgxrGEaXdYDymLWZ5DKHdmyvYW6keH9NysQGKytiax8wUyiqyaLhXoqbJCWxrcyu9MZLZpJFRXonKCNK1SAmRkRNQfkmY9jDVnj5nBdjtEGxa9pwAFENv6xa58J1zcA4MD6Tj9B4B36YrWT2TLs7Pp4jMJryA5sUVsL6jn7cEnbjaH78qQw2sicncneBaAoQnFJedyWfnQC3GYRAfRPp3kxfZNsJf2aQQ",
      "assets": [
        {
          "tokenId": "0f9025983efa47197138e08b182ef3ac404a77130d08d86f39ba4aa194fb0e00",
          "index": 0,
          "amount": 1,
          "name": "Peperg #53",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "f7f88fb1fd71e32a16885b374b1996bf335be0bdef88824cb706c228e2facf8e",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 11,
      "globalIndex": 38460907,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "quE2HvwgAp7z8q4tD1BfCfj72TPziUHqruk3L8jUWQ7bWGD7ugdkpkgYx9kztPTmJborN4baTrHuenaZrCtoB3VHeLjQUQACzZ67qpnMGUAyGs93mUpwodKekvSM8Y6rCFVMxFw76MD8ZUjMPd2J8awcfECurL9v6HkjFnzKJr72NXdQ18XYYGRneXbbkgU5qzUKTLoC2weUGsDpNhfDh9xBGV7CYconikP79c9b3ZcquSBdNCu4G5r2uvBVTHXaFgk5TioeSL4SqwS5sugeEeicTPre842uZBzNd7B3XqE75Rjum1bz1vBgGtadMqt2XRui7tqaK44LjeYfds3N4CWZsYwx69h2PpHFrU9Mzvvj3ju6XGVS5X6GnyGgttXiHgokZPhD45m2etzAUXovNPeutrw5zmQudCh9jXBSfujXDBPS7ohC7qLj3Hj4zfRJTmUzPNMEUGLED57kowMXdAq95h4LciSLcNgZjM3dAwVkkPFgTnu1gvFSR6HAb78d8cx4khpf5bvtPpRxLk1vXeqRxBagUQwgaTBJUEAbxF9bfs7TQBzboKL5krjpqXKydYQb5pbZ64bRk6U6hzNjmn8XEexRE8RACaJrk9MvtXVVqJRyKRkWRvMKgo3QtfXR1qNZcXKV5AHzwCPfHXfxXAkSkEPPXFxYyj33KLuuLAw7LyWqL1v6fFXzohq1oZB3tqXGZbksri3i86cCtMoUFUCUHT2BgCxUmQVGnuUvNTe69PU5VKraGowqUo8MJFXS7njsW7uZyK867qZpPPXwu2fLgK2whDihx6JKY1Ub3aw3mUkjbdqhMxSh4m6ZhD2piJYwtiEb7juZhrhVWVqaJDFCc2aED8Vdc1Z4W9pEt8UKhHcLcHn6CiaSHiyhFwRY3bMuVZwtY2XFwzQRSfW2VyYoC5Dqby43xYuEHe1Ld7ANMsXgHzwwkisdt4rQ1EHMynXM6926DEVYewgxrGEaXdYDymLWZ5DKHdmyvYW6keH9NysQGKytiax8wUyiqyaLhXoqbJCWxrcyu9MZLZpJFRXonKCNK1SAmRkRNQfkmY9jDVnj5nBdjtEGxa9pwAFENv6xa58J1zcA4MD6Tj9B4B36YrWT2TLs7Pp4jMJryA5sUVsL6jn7cEnbjaH78qQw2sicncneBaAoQnFJedyWfnQC3GYRAfRPp3kxfZNsJf2aQQ",
      "assets": [
        {
          "tokenId": "0de04fb83e84e35d424e77eb787d47a4bb29f22fcf40d57523a0f9e8ce05e8d4",
          "index": 0,
          "amount": 1,
          "name": "Peperg #71",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "9e573f0242c292d54158c027592c4f8ccad9b853bc166f5450db0ef7fecf9003",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 12,
      "globalIndex": 38460908,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1194c21685856fde0ac36d72baf51294540f32fb6ab13759b71cade772e36b08",
          "index": 0,
          "amount": 1,
          "name": "Peperg #176",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "67a15c3ade4a050c4c95e8871b3cb07e437992e137d8b6cd6b3e014ba8332389",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 13,
      "globalIndex": 38460909,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1077aea312f9b8791d59bb79dcd76742255aafdeabe776ab127b67529f76cf7a",
          "index": 0,
          "amount": 1,
          "name": "Peperg #165",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "29a5c16e897a085249d4a0a903da83b7368c22f61806477acf6b969973d83833",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 14,
      "globalIndex": 38460910,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1e6d4cf61cd85feacb48e6946a09a7e0459af5147b909b06bb60c2180d17ec1a",
          "index": 0,
          "amount": 1,
          "name": "Peperg #152",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "942129944abff8b2b49cedf870441ee0a4749456b9b6e815f605afa9bf5c5c9b",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 15,
      "globalIndex": 38460911,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "26856962aadac8b3f521908597891c00386c2882ca27f7be215ab0354a52f51f",
          "index": 0,
          "amount": 1,
          "name": "Peperg #179",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "e7a7943caf2a8ccf0488f00c7baea571ee664505c547a13d6f66ea60937faad8",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 16,
      "globalIndex": 38460912,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "5cb74395b21cfc2776d66efc1260656dc52fec955c592116f29b7013c83a539f",
          "index": 0,
          "amount": 1,
          "name": "Peperg #6",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": "2670087173d3f45a9e7466db0eff1db56f5f726163d07da575b4a886afcd6429",
      "mainChain": true
    },
    {
      "boxId": "c646b625cb0906061d262793789a9b7bfdd083f22cea3371d3e172054ae5d08f",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 17,
      "globalIndex": 38460913,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "64bd905edf0d9bc429d0a2a5af190fa753b6279b152e49f6104e0d087727e346",
          "index": 0,
          "amount": 1,
          "name": "Peperg #78",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "5a9f8da846a0abfe7c6ff62d6505fd0def498e00ddf72f412089500e5982d783",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 18,
      "globalIndex": 38460914,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "58e13602a825f8ffe6a6d8a64d3b0a2ee9d5390ab9dc02c8494d286662f5fa6f",
          "index": 0,
          "amount": 1,
          "name": "Peperg #46",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "cf62c85447ed47193944c9a781585e85cb998181577aa25d70520f26f97798ff",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 19,
      "globalIndex": 38460915,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "49ee67dd421e372b807921f125f0182a7d60510e003429264a27f632c3909889",
          "index": 0,
          "amount": 1,
          "name": "Peperg #56",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "0e65f1c438c7465945abf92b4fcce9f66333692f3dba12d075b564fd8e32bc89",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 20,
      "globalIndex": 38460916,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "3214fff488610f7b6944ad8cbdee1b91d9d5949960a3ec35b2f40703dbc797b2",
          "index": 0,
          "amount": 1,
          "name": "Peperg #87",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "df5864bfd1b4e76e8ce41921a56f61c916214f199cf77f906dcb99049820b20f",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 21,
      "globalIndex": 38460917,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "3b77c368be9893fc5161ca427d9fe9a869b42edf20daa920ec6d5a5faa5a6f85",
          "index": 0,
          "amount": 1,
          "name": "Peperg #57",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "4b29042ead5cb2a038f1cea0ef998244caf7ef9a477d5dc90d6d227340c4538d",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 22,
      "globalIndex": 38460918,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "102c04000400040404020404040004020400040604000406050404020400040004d00f040004040414040404000400040005d00f05d00f04000400040404140406040005d00f040405d00f0400040604060400050001000101010004000e209ebcd694bf34db4ee3e2ccea0087ca42970743b9e019a1e8d145e8560467c60ed814d601e4c6a7040ed602db6903db6503fed603e4c6a70559d6048c720301d605b2db6501fe730000d606e4c672050404d607e4c6a70611d60899b272077301009c9d9972027204b27207730200b27207730300d609b2a5730401a7d60adb63087209d60b830002d60cc17209d60d8602720b720cd60eb2720a730501720dd60fe4c6a7070ed610b2a5730601a7d611db63087210d612c17210d6138602720b7212d614b272117307017213ea02eb02cdeeb472017308b17201d1959172027204959172028c720302d801d615b2a57309009683040193b1a5730a93db63087215db6308a792c1721599c1a79c730be4c67205060593c272157201d80fd6157209d616720ad617720bd618720cd619720dd61a720ed61b7210d61ce5c6721b0463b2a599b1a5730c00d61dc6721c0404d61ee6721dd61f7211d6207212d6217213d6227214d623b2db6308a7730d009683050193c5b2a4730e00c5a7eded93c272157201928c721a029d9c72087e9999730f720695721ed801d624e5721d731095ec8f722473119272247312722495ed9372247313e6c6721c050c4c0eb0e5c6721c050c4c0e83004c0e7314d90125404c0e9a8c7225018c8c7225020273157316057317938c721a01720feded93c2721be4c67205050e928c7222029d9c72087e7206057318938c722201720f937223b2db6308b2a5731901a7731a00ed95721ed801d624e4721d95ec8f7224731b927224731cd802d625b2a5731d01a7d626b2db63087225731e0186027217c17225eded928c7226029d9c72087e722405731f938c722601720f93c27225c2721c95ed9372247320e6c6721c050c4c0ed802d625e5c6721c050c4c0e83004c0ed626b1722593b4ad7225d901274c0e86028c7227019d9c7e8c722702057208732173227226adb4a573239a73247226d9012763d801d629b2db6308722773250186027217c1722795938c722901720f8602c272278c7229028602721773267327732893cbc3721c8c7223017329d1938cb2db63087205732a0001732b",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "3da7798cb89ec005b16bbd93c147062798e47af5d207624ede3f442fe1a26bb8",
          "index": 0,
          "amount": 1,
          "name": "Peperg #59",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "0125e89a4246308903a63442695112ece8c0a51a833ca66480b3267400499352",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 23,
      "globalIndex": 38460919,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "3379dc74f1a94cc2f7f7533a94bf86d5ffa7d5c1097117cf8d24ab3879630115",
          "index": 0,
          "amount": 1,
          "name": "Peperg #67",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "e776bf01dd08274a9540106de8b6e3fc90c78ded32069a3037260585a4e46dd5",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 24,
      "globalIndex": 38460920,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "60464c3b34ffb1bef5db068e124e9db76857ed73d0250be337d0b55496cf4b34",
          "index": 0,
          "amount": 1,
          "name": "Peperg #74",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "59aacfd4efce63808c87a19469",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393117141,1806605280000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "0037416bc3c684e0ab65aa8968559c44df12b0bd2d17cfe5f9c2da00fd935255",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 25,
      "globalIndex": 38460921,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "549bdaffa415c9a34ee77ca1099a15a4670bdaf712bafdfd68b2fcd18f4eb737",
          "index": 0,
          "amount": 1,
          "name": "Peperg #62",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "599affd6efce639ab0e6dfc070",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393136589,1932835736589]"
        },
        "R6": {
          "serializedValue": "110380c0fc82aa020002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[40000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "b55a1fa54e3407dede751a8fac1270dd99940990e4a4266f1a09c38ca3d60275",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 26,
      "globalIndex": 38460922,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "507f5e9fee455d8bfe454c9e0327f42359e0d01bb33758ddc567715d61d21397",
          "index": 0,
          "amount": 1,
          "name": "Peperg #150",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "599affd6efce639ab0e6dfc070",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393136589,1932835736589]"
        },
        "R6": {
          "serializedValue": "110380c0fc82aa020002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[40000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "ab20656ddba93332a813397e49e1c9a97602725ff7c0fa159bb7795a6c567548",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 27,
      "globalIndex": 38460923,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "quE2HvwgAp7z8q4tD1BfCfj72TPziUHqruk3L8jUWQ7bWGD7ugdkpkgYx9kztPTmJborN4baTrHuenaZrCtoB3VHeLjQUQACzZ67qpnMGUAyGs93mUpwodKekvSM8Y6rCFVMxFw76MD8ZUjMPd2J8awcfECurL9v6HkjFnzKJr72NXdQ18XYYGRneXbbkgU5qzUKTLoC2weUGsDpNhfDh9xBGV7CYconikP79c9b3ZcquSBdNCu4G5r2uvBVTHXaFgk5TioeSL4SqwS5sugeEeicTPre842uZBzNd7B3XqE75Rjum1bz1vBgGtadMqt2XRui7tqaK44LjeYfds3N4CWZsYwx69h2PpHFrU9Mzvvj3ju6XGVS5X6GnyGgttXiHgokZPhD45m2etzAUXovNPeutrw5zmQudCh9jXBSfujXDBPS7ohC7qLj3Hj4zfRJTmUzPNMEUGLED57kowMXdAq95h4LciSLcNgZjM3dAwVkkPFgTnu1gvFSR6HAb78d8cx4khpf5bvtPpRxLk1vXeqRxBagUQwgaTBJUEAbxF9bfs7TQBzboKL5krjpqXKydYQb5pbZ64bRk6U6hzNjmn8XEexRE8RACaJrk9MvtXVVqJRyKRkWRvMKgo3QtfXR1qNZcXKV5AHzwCPfHXfxXAkSkEPPXFxYyj33KLuuLAw7LyWqL1v6fFXzohq1oZB3tqXGZbksri3i86cCtMoUFUCUHT2BgCxUmQVGnuUvNTe69PU5VKraGowqUo8MJFXS7njsW7uZyK867qZpPPXwu2fLgK2whDihx6JKY1Ub3aw3mUkjbdqhMxSh4m6ZhD2piJYwtiEb7juZhrhVWVqaJDFCc2aED8Vdc1Z4W9pEt8UKhHcLcHn6CiaSHiyhFwRY3bMuVZwtY2XFwzQRSfW2VyYoC5Dqby43xYuEHe1Ld7ANMsXgHzwwkisdt4rQ1EHMynXM6926DEVYewgxrGEaXdYDymLWZ5DKHdmyvYW6keH9NysQGKytiax8wUyiqyaLhXoqbJCWxrcyu9MZLZpJFRXonKCNK1SAmRkRNQfkmY9jDVnj5nBdjtEGxa9pwAFENv6xa58J1zcA4MD6Tj9B4B36YrWT2TLs7Pp4jMJryA5sUVsL6jn7cEnbjaH78qQw2sicncneBaAoQnFJedyWfnQC3GYRAfRPp3kxfZNsJf2aQQ",
      "assets": [
        {
          "tokenId": "2ab2c7165007412847a42048136f3b992ab21e9c13ccc56a6e4df0e94b0944de",
          "index": 0,
          "amount": 1,
          "name": "Peperg #155",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "599c98d7efce639c99aca89774",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393138190,1995994138190]"
        },
        "R6": {
          "serializedValue": "11038090dfc04a0002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "e2d453e6349964812696d16fc5a59e420c8abb7bde14ba1065622419f1897e03",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 28,
      "globalIndex": 38460924,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "31e1b29b2cfbb3694125191eff80fb75d2b7f97fa87e1f810c45cb552954bbac",
          "index": 0,
          "amount": 1,
          "name": "Peperg #173",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "599c98d7efce639c99aca89774",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393138190,1995994138190]"
        },
        "R6": {
          "serializedValue": "11038090dfc04a0002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "63545f016b6ed5047def261af75c6b6896f0f5415384a570efa4aff4e6f49419",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 29,
      "globalIndex": 38460925,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "6122814cfc602c63924d57abe13272715e3133188c980f52d9b0b0e1e4b7c5e5",
          "index": 0,
          "amount": 1,
          "name": "Peperg #164",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "599c98d7efce639c99aca89774",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393138190,1995994138190]"
        },
        "R6": {
          "serializedValue": "11038090dfc04a0002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "e1567a5cc5542545fcf3290be52efd7229a01c2ecf15b22a213628f9e99c6bc2",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 30,
      "globalIndex": 38460926,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "65b633677534d11633e6e8c91f9af0c56b4fcd6d2155e79f75a7642f4fe1db39",
          "index": 0,
          "amount": 1,
          "name": "Peperg #166",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
          "serializedValue": "599c98d7efce639c99aca89774",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1711393138190,1995994138190]"
        },
        "R6": {
          "serializedValue": "11038090dfc04a0002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "a9714506bd73c6125376734568ee5f83256a28159712ff8065c131c57d14e1de",
      "transactionId": "efebf32aff85b83709c1de9fa34cd818e6187e0dd2103d81275e275fca8d9821",
      "blockId": "bfb1385797a6d5d9ef29cae42ee4b7de53fe1cc6ba6d95932b3bc8153df95a89",
      "value": 15000000,
      "index": 31,
      "globalIndex": 38460927,
      "creationHeight": 1228716,
      "settlementHeight": 1228719,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: 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.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "6596e20f418c7972b789c4359902e7736b34a689fb1e8e9e49163dbfbd75d138",
          "index": 0,
          "amount": 1,
          "name": "Peperg #171",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd023296cab9de6fa54812445e3a2b30b6bb7476d4a0b444dc3042202011ff85a8c5"
        },
        "R5": {
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      "index": 33,
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      "ergoTree": "0008cd03240e71da7ba42ff1e2f68c425ee64ca7d9504a1c84b0c95de4a6effe68804d1d",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(240e71,dfb102,...)))}",
      "address": "9gjghouPwq9TCKyFAAvHPsoE1n9moZWec9oKeRzAjnV9p4hAzvo",
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      "additionalRegisters": {},
      "spentTransactionId": "f30023be4453ca18c575fa1a4a23ce58fbd9baa9b63c06a6f5560d952c8bcf73",
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    },
    {
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      "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)}",
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      "spentTransactionId": "1630f2896adab6eddd5d28e0b66eb5a64c388e365d92dc8a7de54a395df7dbd0",
      "mainChain": true
    }
  ],
  "size": 34158,
  "isUnconfirmed": false
}