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Transaction

6/1/2023 06:04:40 AM
ID: c7cff1faaf...6c3d
Inputs (3)
#0
b76e0b420b95...cf71
Spent
Address:
9gJUA5j4TxJ2...JPjh
Output transaction:
4c5080b019b8...caac
Settlement height:
1,016,104
Value:
0.092793885 ERG
Tokens:
Loading assets...
#1
7e26cac7eb72...39ea
Spent
Address:
9gJUA5j4TxJ2...JPjh
Output transaction:
364aea22b194...d7a0
Settlement height:
1,016,113
Value:
2.85 ERG
Tokens:
Loading assets...
#2
abfca9f00d11...e563
Spent
Address:
9gJUA5j4TxJ2...JPjh
Output transaction:
faf9fbf6310f...33e6
Settlement height:
998,001
Value:
0.008 ERG
Tokens:
Loading assets...
Outputs (32)
#0
00425c97cfe7...3f10
Spent
Address:
Auction House (QKXs)
Spent in transaction:
197d8129cecc...1b35
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#1
e08b661be41a...a2a7
Spent
Address:
Auction House (QKXs)
Spent in transaction:
df04bab49f99...fb06
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#2
69bbc1ded204...f489
Spent
Address:
Auction House (QKXs)
Spent in transaction:
b5b365b7ca11...ca73
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#3
c4234950441d...f326
Spent
Address:
Auction House (QKXs)
Spent in transaction:
eefcefbfe6e6...8953
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#4
aa26cbbc2435...b6b2
Spent
Address:
Auction House (QKXs)
Spent in transaction:
18090dfdf989...52f6
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#5
8d8e9f81d5bf...4d9b
Spent
Address:
Auction House (QKXs)
Spent in transaction:
c0abeda086df...41bd
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#6
c0ef0e47a89f...150c
Spent
Address:
Auction House (QKXs)
Spent in transaction:
a431a54f4ac2...c32d
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#7
adcc439d805a...f0da
Spent
Address:
Auction House (QKXs)
Spent in transaction:
da4ff2c8e913...d2f1
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#8
3b73fa98fa02...04f3
Spent
Address:
Auction House (QKXs)
Spent in transaction:
41ea4d96d85b...2178
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#9
cebd9dc5fede...547b
Spent
Address:
Auction House (QKXs)
Spent in transaction:
0d99a9cf34b9...8d43
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#10
e019f47c9071...5bd3
Spent
Address:
Auction House (QKXs)
Spent in transaction:
65a6118eca8d...1dfc
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#11
bfb3958637d6...eaa9
Spent
Address:
Auction House (QKXs)
Spent in transaction:
518ce46d055b...22da
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#12
4eee8052686c...df15
Spent
Address:
Auction House (QKXs)
Spent in transaction:
fa05fd71db30...e7e3
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#13
11bc66eb352b...3752
Spent
Address:
Auction House (QKXs)
Spent in transaction:
4213b81b72d0...b7fb
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#14
51f5ff7c9c96...c508
Spent
Address:
Auction House (QKXs)
Spent in transaction:
e444dc44ad9d...4946
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#15
99eddc9b4df5...ba09
Spent
Address:
Auction House (QKXs)
Spent in transaction:
4537702a068c...a539
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#16
a3b33321adba...6fb6
Spent
Address:
Auction House (QKXs)
Spent in transaction:
08f7630911fa...0bcc
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#17
3fb4980a6711...8bf1
Spent
Address:
Auction House (QKXs)
Spent in transaction:
cae06cb53507...3a29
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#18
4351b8d96221...f163
Spent
Address:
Auction House (QKXs)
Spent in transaction:
a736b4483316...2851
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#19
e48d58c9db73...4954
Spent
Address:
Auction House (QKXs)
Spent in transaction:
d9912e61a57a...030a
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#20
ea0d53905223...53ea
Spent
Address:
Auction House (QKXs)
Spent in transaction:
c3af5a9de4a4...e39d
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#21
429e76f912f4...8252
Spent
Address:
Auction House (QKXs)
Spent in transaction:
6f4498818971...2339
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#22
ad54b678895a...7ee7
Spent
Address:
Auction House (QKXs)
Spent in transaction:
7c472b3fa275...ebc2
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#23
ac30d7890678...921f
Spent
Address:
Auction House (QKXs)
Spent in transaction:
c64d03558a31...7137
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#24
fb574eff4ba3...b031
Spent
Address:
Auction House (QKXs)
Spent in transaction:
1359e294004f...3973
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#25
345a3f8d2da1...64d1
Spent
Address:
Auction House (QKXs)
Spent in transaction:
1c16e95fa5ca...cfdf
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#26
872725bcf941...245a
Spent
Address:
Auction House (QKXs)
Spent in transaction:
24e5c628a732...d995
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#27
fb2fcb7dabcc...3c54
Spent
Address:
Auction House (QKXs)
Spent in transaction:
e77c6f6cb28b...027b
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#28
819df09c65b8...2116
Spent
Address:
Auction House (QKXs)
Spent in transaction:
b5fd412964c6...22ec
Settlement height:
1,016,122
Value:
0.015 ERG
Tokens:
Loading assets...
#29
e582debd34e6...d337
Spent
Address:
9gJUA5j4TxJ2...JPjh
Spent in transaction:
0b6f56a2642c...8a9d
Settlement height:
1,016,122
Value:
2.51 ERG
Tokens:
Loading assets...
#30
b3d75501afbc...1476
Spent
Address:
9gjghouPwq9T...Azvo
Spent in transaction:
1365bb8d942e...5666
Settlement height:
1,016,122
Value:
0.005 ERG
Tokens:
AHT
2,119.26
#31
6e9b57b3ed85...2d12
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
439b3f1c3031...1be8
Settlement height:
1,016,122
Value:
0.005 ERG
Transaction Details
Status: Confirmed
Size: 23.11 KB
Received time: 6/1/2023 06:04:40 AM
Included in blocks: 1,016,122
Confirmations: 748,051
Total coins transferred: 2.95 ERG
Fees: 0.005 ERG
Fees per byte: 0.000000211 ERG
Raw Transaction Data
{
  "id": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
  "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
  "inclusionHeight": 1016122,
  "timestamp": 1685599480864,
  "index": 8,
  "globalIndex": 5313953,
  "numConfirmations": 748051,
  "inputs": [
    {
      "boxId": "b76e0b420b95f4532102cf4042a0064e5bf621657aa132d52965e0369adbcf71",
      "value": 92793885,
      "index": 0,
      "spendingProof": "0fd3a872148b9b62117d1cc2d6f3e0b1285e422c842fe51958654b118a66a019e26183f801ed9ebc1f296cdd8f5f6e28f8fe69ada193745a",
      "outputBlockId": "957b602ee9b361196867eeab4204c472fea7a0fe2dd553368b13409aed3ed021",
      "outputTransactionId": "4c5080b019b8a66509284c069010534ae96c83d1e17452f2b6740ad2e100caac",
      "outputIndex": 1,
      "outputGlobalIndex": 29689528,
      "outputCreatedAt": 1016102,
      "outputSettledAt": 1016104,
      "ergoTree": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(eaccb7,c94ac1,...)))}",
      "address": "9gJUA5j4TxJ2bMVNHSnvS7BpxhcDn7ufQa86utZGRbCHaGgJPjh",
      "assets": [
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          "index": 0,
          "amount": 2000000000,
          "name": "eVOTE2",
          "decimals": 6,
          "type": "EIP-004"
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        {
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          "index": 1,
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          "name": "Landmarks - Angkor",
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          "type": "EIP-004"
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        {
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          "index": 2,
          "amount": 1,
          "name": "NFT Ford_Model_A_Tudor_1929",
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          "type": "EIP-004"
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        {
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        {
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          "index": 4,
          "amount": 1,
          "name": "NFT Cadillac_V16_452452-A_Roadster_1930",
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          "type": "EIP-004"
        },
        {
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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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          "index": 12,
          "amount": 1,
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          "type": "EIP-004"
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        {
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          "name": "Landmarks - Arc de Triomphe Paris",
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          "type": "EIP-004"
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        {
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          "amount": 1,
          "name": "Landmarks - Golden Gate Bridge",
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        {
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          "name": "Joan",
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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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          "type": "EIP-004"
        },
        {
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          "index": 34,
          "amount": 1,
          "name": "Tokio - biggest TOP 20 ",
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          "type": "EIP-004"
        },
        {
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          "index": 35,
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          "name": "Female Act no.7",
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          "type": "EIP-004"
        },
        {
          "tokenId": "1fe8134092c07e4c88ec92f3d87534e0331b11160f44bc7d5eda456d1cf70388",
          "index": 36,
          "amount": 1,
          "name": "Landmarks - Berlin TV tower ",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "6c43bab6f1a3393f794940b18e22df936ce4f41c86970ac5119757f6d37a3a5f",
          "index": 37,
          "amount": 1,
          "name": "Secret",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "78c94241e92becb5201f76252c8bec94e14de37a7e05b40629f29fa5f2e7e101",
          "index": 38,
          "amount": 1,
          "name": "Landmarks -  Space needle Seattle",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "adfc1d35484c991030000f5c6b106ea67417c49d7bfca677f89f9840ab3e9a28",
          "index": 39,
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      "address": "9gJUA5j4TxJ2bMVNHSnvS7BpxhcDn7ufQa86utZGRbCHaGgJPjh",
      "assets": [
        {
          "tokenId": "4ab2a4c7449ca241413eb54147f7d26fc8f298698fa55dbab370726ab1d33ed0",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Victoria falls",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "9d8f67920f7bc962db574f105430b658c8c4791d8b1ee6e158927035b0373d3a",
      "value": 5219364,
      "index": 0,
      "outputBlockId": "3ab00b6304771044a6fdb549b7373c25df89f9e0d16ccec6d3f0e4efa6f5661c",
      "outputTransactionId": "1e9583c814efdd407b83b7f2dcc42d56637bd4ad5adf868bd34785632357ed8e",
      "outputIndex": 0,
      "ergoTree": "0008cd03b04048a9708f0a2b109d75513a2483e3b9ede622efb3cc03bdddf93bccd93ac5",
      "address": "9hoRnjysKfkwZSCgSFNzSXMohwYn8DqruuYxD6vT7Ubw55qnwiZ",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8"
        },
        "R6": {
          "serializedValue": "058092f401",
          "sigmaType": "SLong",
          "renderedValue": "2000000"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "110280dddb0180fca402",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1800000,2400000]"
        },
        "R4": {
          "serializedValue": "0428",
          "sigmaType": "SInt",
          "renderedValue": "20"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "00425c97cfe74b754396288ba5b17ce4d213a86738c80f9a6f76b84542a83f10",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 0,
      "globalIndex": 29689958,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "0a0da03af9a1e43f5407797544e1f8593bb03c8b818eac8a2a9b7e3cda7e05e8",
          "index": 0,
          "amount": 1,
          "name": "Landmarks -  Mont Saint-Michel France",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59c0d6a5bd8e62c0b6c3fbb862",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685570500000,1691272900000]"
        },
        "R6": {
          "serializedValue": "11028098dc933480a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[7000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "197d8129ceccf1a94a31d9daf2be770d729212c1b5a9710eae7001851e3b1b35",
      "mainChain": true
    },
    {
      "boxId": "e08b661be41a6ce0730997db70b54a36a27febc8d7058bb3806739dced5ba2a7",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 1,
      "globalIndex": 29689959,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1fe8134092c07e4c88ec92f3d87534e0331b11160f44bc7d5eda456d1cf70388",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Berlin TV tower ",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59fef5d2d88e62fee6ed989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599182207,1686203382207]"
        },
        "R6": {
          "serializedValue": "110280c8afa02580a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[5000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "df04bab49f9982272a1dc10ba26c55fcd091d67a5da735a03c0a461a3939fb06",
      "mainChain": true
    },
    {
      "boxId": "69bbc1ded204a3dc377b1aaf50d9ea775e6924af73a7cc03352c46355544f489",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 2,
      "globalIndex": 29689960,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "18d8a2c37407dae1cb2453714a6aaa441bdca4956da8459f9845f44aca77dd8a",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Golden Gate Bridge",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59ce9ed3d88e62ce8fee989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599184807,1686203384807]"
        },
        "R6": {
          "serializedValue": "110280e888874380a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[9000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "b5b365b7ca1105580f834510d1140f25ab84642b66ef594402352dad9bbaca73",
      "mainChain": true
    },
    {
      "boxId": "c4234950441d53379e3dbaf944b8082f6872ab2d86a648a96662b8d353daf326",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 3,
      "globalIndex": 29689961,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "051a613046bf7200804876f796b019fdc023307d51b27cce430d1117da84cbf6",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Louvere Paris",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59aeb6d3d88e62aea7ee989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599186327,1686203386327]"
        },
        "R6": {
          "serializedValue": "110280e888874380a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[9000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "eefcefbfe6e6e5299af3258583cf9cfa19ac6d057b5608415f2ef52449b08953",
      "mainChain": true
    },
    {
      "boxId": "aa26cbbc24359fdb4e682df4052b4ab5f2ad55728c1188b83bc39aad2a1eb6b2",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 4,
      "globalIndex": 29689962,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1cf1bf2d749798183ff083f952029b2fdbb30dd8076c1b2b06a0f536ea2e17ef",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Brandenburger Tor Blaue Stunde Berlin",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59ced9d3d88e62cecaee989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599188583,1686203388583]"
        },
        "R6": {
          "serializedValue": "11028090dfc04a80a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "18090dfdf989b1059ca90dc60b276f925922c13b19c7faa41985abd2c75352f6",
      "mainChain": true
    },
    {
      "boxId": "8d8e9f81d5bf08a52058efe9c35bffcf605909c26add1993533458215df54d9b",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 5,
      "globalIndex": 29689963,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "323ef01b8b6fb9c4bfe7d6e39dc87ada3f1fe0f71c1922840566ae73bfffe457",
          "index": 0,
          "amount": 1,
          "name": "Landmarks -  Neuschwanstein Castle Germany",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59fec1d5d88e62feb2f0989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599203455,1686203403455]"
        },
        "R6": {
          "serializedValue": "110280c8afa02580a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[5000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "c0abeda086df94b5a929c604e2eef41aff78dcaa2881cad5b14da891da9441bd",
      "mainChain": true
    },
    {
      "boxId": "c0ef0e47a89fc6115fe180eaff75fd9d2ffd4380de873977edeb7480bbe5150c",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 6,
      "globalIndex": 29689964,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "4226ba074cebb88fab280fe996f8e003473546477698db2d3d756f5391a0347e",
          "index": 0,
          "amount": 1,
          "name": "Landmarks -  Neues Rathaus Hannover",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
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          "serializedValue": "59dee9d5d88e62dedaf0989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599205999,1686203405999]"
        },
        "R6": {
          "serializedValue": "11028098dc933480a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[7000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "a431a54f4ac2184468986301d205e3ad162343b7d225b7c42ea9a44c1447c32d",
      "mainChain": true
    },
    {
      "boxId": "adcc439d805a2e67d595746ec75c777a19629396ee121c9c76409d1a6448f0da",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 7,
      "globalIndex": 29689965,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "376c4b79e15a7ad7e0b3a0495ba33c430f8a7d7cab273fa12f9c2ecbf3871f5a",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Angkor",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59aea7d6d88e62ae98f1989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599209943,1686203409943]"
        },
        "R6": {
          "serializedValue": "110280f085da2c80a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[6000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "da4ff2c8e9138b438dbd1c72d793c8bec3ee095612d1bd6dc4faa83305b4d2f1",
      "mainChain": true
    },
    {
      "boxId": "3b73fa98fa02ceee243ecbd8a0e78873f89e3ee6f3de3c996e0ea2b22fda04f3",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 8,
      "globalIndex": 29689966,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "10190402040005000400040604000406050404000402040204000400040204000400040004020400040204040500010004000e209ebcd694bf34db4ee3e2ccea0087ca42970743b9e019a1e8d145e8560467c60ed811d601db6903db6503fed602e4c6a70559d6038c720201d6049172017203d605e4c6a7040ed6068c720202d607db6308a7d608830002d609c1a7d60ab27207730001860272087209d60b8c720a02d60cc6a70611d60de4720cd60eb2720d730100d60fe4c6a7070ed61095ec8f720b720e948c720a01720f7302720bd611b2db6501fe730300ea02eb02ea02d17204cdeeb472057304b17205d1957204959172017206d802d612b2a5730500d613927210720eeced8f7210720e9683040193b1a5730693db63087212720792c172129972099c7307e4c67211060593c272127205ed72137213d806d612b2a5730800d613db63087212d614b2721373090186027208c17212d615e4c672110711d616b2a5730a00d617b2db63087216730b0186027208c1721696830c0193c5b2a4730c00c5a7938c721401720f928c721402a29a7210b2720d730d00720e93b27207730e00b27213730f0093c27212c2a793e4c67212040e720593e4c6721205598602720395909972067201b272157310009a7206b27215731100720693c672120611720c93e4c67212070e720f93b172139593b1720f73127313731493c27216e4c6a7080eeced938c721701720f928c721702721093721073157316d1938cb2db63087211731700017318",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "QKXspDTHfFsBWcxukx5xmM42NB3U9gax46cP5BEAzwX5shBbnMhMxTzigZEoLj9LED1zr4LJX5siZACfsuZpuua8NjdWjM1tz3oBh2kEQEMfLrj3Z7SaEmkZmQSHrwFJUJF4ZR2URZyA4dEhjwzUmAwPZjwyV3dwdQo7GRvrhEnfPUjpXDutcdeceeJyAMYVdc4EiHAWNM8c5mLrAkmBjsjMnuWLR6pe2xms8xGkuYGAjYxU9rmp6iGjrba22bdoGXKknbaBEaDFEF8hCJZnbHZXypuTVd1wb5oNjrkq5Wg5zP95gbvirGeNgT6qWMqdxziWBtCZ9GwP7Pg78PycHU87tcC7MV6BocyArotnJKJKinRh4u13SWmxwXDQUT7vQLfoZUExCYD2K4azAbVuXoHXAHGX4Cnpfy4nJ7NDgp5H9yaQ7ywemgCssX3Us9idnE6rJwEvUXmuyzFGJSqaeUqZ2UjDKX86Buwo6vJRDzhKnukyzS7nXd5si81i1qcmBMyQSAwmVRfsUm4FNqmKTvCMcYwJf19sHz6RUfgv3iAKQysBTjw3oKF5qMXFSsncV3v213nBQnbonGUdxcFauNjzYbXjPzCF1jH9nE8CBp6r3oeCxj1GZXWMWs9Gh9fqzbwzY6eQnCXxt2pkzLZtEXMRWe8HEPQipVcxmtsk8LQdzjoBfAyiJexBRMyspadSf7WTHai8Up67UcazfxyMnSdRVCPfYmkDLkDf4HB5BjK5MVK11w5Hd1FMZDcop6b7",
      "assets": [
        {
          "tokenId": "4ab2a4c7449ca241413eb54147f7d26fc8f298698fa55dbab370726ab1d33ed0",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Victoria falls",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59deb5d6d88e62dea6f1989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599210863,1686203410863]"
        },
        "R6": {
          "serializedValue": "11028090dfc04a80a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "41ea4d96d85b01a262592c918d9964f0944c94d8c06ed48bc8871ca364522178",
      "mainChain": true
    },
    {
      "boxId": "cebd9dc5fedec15753c4432918ab8cb5a1ef28c6b0eb02afb74c659e5ff0547b",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 9,
      "globalIndex": 29689967,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "4c05fabcbd7a635d2f0d18d58548f4fce17b388a5796ebc1421dc576eee10d52",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Colosseum Rome",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59fec8d6d88e62feb9f1989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599212095,1686203412095]"
        },
        "R6": {
          "serializedValue": "110280c0b2cd3b80a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[8000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "0d99a9cf34b9b12499ce94c90521e1a69b4646789a7ddf7d562df6f414748d43",
      "mainChain": true
    },
    {
      "boxId": "e019f47c907181ae5270361e9e68e63d33353fbdb0ccba511579a2c73a765bd3",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 10,
      "globalIndex": 29689968,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "5a68789d9030c6184bfccbe0be6db316151342203ce61f9fb6123fec72e4d910",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Leaning tower of Piza",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "598eead7d88e628edbf2989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599222407,1686203422407]"
        },
        "R6": {
          "serializedValue": "110280e888874380a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[9000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "65a6118eca8d41c638d31bd1dbde630faac9d6932a6e42e520c6b7a0eff21dfc",
      "mainChain": true
    },
    {
      "boxId": "bfb3958637d64292d9321283741a5eeb160ba39538a51e27793dca9bc189eaa9",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 11,
      "globalIndex": 29689969,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "6b3d17600408d6139d630e9b60505a4ef45a6a8951675bfce3c388ceb1de858b",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Big Ben London",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59de9ed8d88e62de8ff3989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599225775,1686203425775]"
        },
        "R6": {
          "serializedValue": "11028090dfc04a80a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "518ce46d055b784da2ecea35f89ebf0bf3f3ed43da1d09ab8c1b2e192b0422da",
      "mainChain": true
    },
    {
      "boxId": "4eee8052686cf6461de280d13e4cb72657c252894ffb9e5407f2e2166689df15",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 12,
      "globalIndex": 29689970,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "10190402040005000400040604000406050404000402040204000400040204000400040004020400040204040500010004000e209ebcd694bf34db4ee3e2ccea0087ca42970743b9e019a1e8d145e8560467c60ed811d601db6903db6503fed602e4c6a70559d6038c720201d6049172017203d605e4c6a7040ed6068c720202d607db6308a7d608830002d609c1a7d60ab27207730001860272087209d60b8c720a02d60cc6a70611d60de4720cd60eb2720d730100d60fe4c6a7070ed61095ec8f720b720e948c720a01720f7302720bd611b2db6501fe730300ea02eb02ea02d17204cdeeb472057304b17205d1957204959172017206d802d612b2a5730500d613927210720eeced8f7210720e9683040193b1a5730693db63087212720792c172129972099c7307e4c67211060593c272127205ed72137213d806d612b2a5730800d613db63087212d614b2721373090186027208c17212d615e4c672110711d616b2a5730a00d617b2db63087216730b0186027208c1721696830c0193c5b2a4730c00c5a7938c721401720f928c721402a29a7210b2720d730d00720e93b27207730e00b27213730f0093c27212c2a793e4c67212040e720593e4c6721205598602720395909972067201b272157310009a7206b27215731100720693c672120611720c93e4c67212070e720f93b172139593b1720f73127313731493c27216e4c6a7080eeced938c721701720f928c721702721093721073157316d1938cb2db63087211731700017318",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "5261d3766d8762fbc347a14e88a98862ad9ccae1b07503607ae3ad84907e45bd",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Great wall of China",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "598efcd8d88e628eedf3989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599231751,1686203431751]"
        },
        "R6": {
          "serializedValue": "110280e888874380a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[9000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "fa05fd71db300469cc95f432bf5cba86fb665c5442d74cdd684ff65ca27ce7e3",
      "mainChain": true
    },
    {
      "boxId": "11bc66eb352b2442cf1a15b48fe9732bb54458124bde6eec6cb403175fb13752",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 13,
      "globalIndex": 29689971,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "5e4fb1dca2a60b92bd991554d2cd87e5f99001d0b58a192731526e0604edd9e1",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Temple Thaiwan",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59be9fd9d88e62be90f4989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599234015,1686203434015]"
        },
        "R6": {
          "serializedValue": "110280c0b2cd3b80a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[8000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "4213b81b72d0b144d6a00819cfaa7fd762fbaf08fc9f1fc8b93e9d297046b7fb",
      "mainChain": true
    },
    {
      "boxId": "51f5ff7c9c96a5004a847bf8ceeb81ff72b009208702331b04d91b914c62c508",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 14,
      "globalIndex": 29689972,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "QKXspDTHfFsBWcxukx5xmM42NB3U9gax46cP5BEAzwX5shBbnMhMxTzigZEoLj9LED1zr4LJX5siZACfsuZpuua8NjdWjM1tz3oBh2kEQEMfLrj3Z7SaEmkZmQSHrwFJUJF4ZR2URZyA4dEhjwzUmAwPZjwyV3dwdQo7GRvrhEnfPUjpXDutcdeceeJyAMYVdc4EiHAWNM8c5mLrAkmBjsjMnuWLR6pe2xms8xGkuYGAjYxU9rmp6iGjrba22bdoGXKknbaBEaDFEF8hCJZnbHZXypuTVd1wb5oNjrkq5Wg5zP95gbvirGeNgT6qWMqdxziWBtCZ9GwP7Pg78PycHU87tcC7MV6BocyArotnJKJKinRh4u13SWmxwXDQUT7vQLfoZUExCYD2K4azAbVuXoHXAHGX4Cnpfy4nJ7NDgp5H9yaQ7ywemgCssX3Us9idnE6rJwEvUXmuyzFGJSqaeUqZ2UjDKX86Buwo6vJRDzhKnukyzS7nXd5si81i1qcmBMyQSAwmVRfsUm4FNqmKTvCMcYwJf19sHz6RUfgv3iAKQysBTjw3oKF5qMXFSsncV3v213nBQnbonGUdxcFauNjzYbXjPzCF1jH9nE8CBp6r3oeCxj1GZXWMWs9Gh9fqzbwzY6eQnCXxt2pkzLZtEXMRWe8HEPQipVcxmtsk8LQdzjoBfAyiJexBRMyspadSf7WTHai8Up67UcazfxyMnSdRVCPfYmkDLkDf4HB5BjK5MVK11w5Hd1FMZDcop6b7",
      "assets": [
        {
          "tokenId": "62a166b655ab4e1f4fbdc99c5ecab92fd8699b59675503c30c7caa4b95def38d",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Hungarian Parliament Building Budapest",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59eed0d9d88e62eec1f4989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599237175,1686203437175]"
        },
        "R6": {
          "serializedValue": "110280f085da2c80a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[6000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "e444dc44ad9d5d5e1b0067ef5c11b3eb40a75af8d1cb359170bdd3098f944946",
      "mainChain": true
    },
    {
      "boxId": "99eddc9b4df581129a81916b74a9abf501215febe0d426dce6f75180d83bba09",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 15,
      "globalIndex": 29689973,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "87480632c7c6fc2b10cb86bfd74016973e5de8da7dade5a4fc517cb4c8d52be3",
          "index": 0,
          "amount": 1,
          "name": "Landmarks -  Opera House Sydney",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59bea5dad88e62be96f5989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599242591,1686203442591]"
        },
        "R6": {
          "serializedValue": "11028098dc933480a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[7000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "4537702a068c22b87e1d9d4fc1485bc4556d4908d173041696ce407bc467a539",
      "mainChain": true
    },
    {
      "boxId": "a3b33321adbad5bd7ffa1162cc6a61759a1a6ea9e449cf12945a9b48e2da6fb6",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 16,
      "globalIndex": 29689974,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "78c94241e92becb5201f76252c8bec94e14de37a7e05b40629f29fa5f2e7e101",
          "index": 0,
          "amount": 1,
          "name": "Landmarks -  Space needle Seattle",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59eed5dad88e62eec6f5989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599245687,1686203445687]"
        },
        "R6": {
          "serializedValue": "110280c8afa02580a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[5000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "08f7630911fa0f639d326acab4ec91b2fe2fd4354db16a7b0b2d462eb1290bcc",
      "mainChain": true
    },
    {
      "boxId": "3fb4980a67117d591be28681cb0fa6aac4180ec464ec64081056500c8a068bf1",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 17,
      "globalIndex": 29689975,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "9636989cb45c9955ba0c3c9d8cff523b123515959c912cd0eaa6bbb1ab427d28",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Cinquantenaire Brussels",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59bec6dbd88e62beb7f6989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599252895,1686203452895]"
        },
        "R6": {
          "serializedValue": "110280f085da2c80a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[6000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "cae06cb53507374a09b720f1657e0e493640beba517deb41f1f0de4b23ad3a29",
      "mainChain": true
    },
    {
      "boxId": "4351b8d96221cbffaeeb89ae073935850b48301c22931757ff70ca27228bf163",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 18,
      "globalIndex": 29689976,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "91320c20c91c464e2059bcc50d589cce720ed8a72319b898c9152eb8b43d58aa",
          "index": 0,
          "amount": 1,
          "name": "Landmarks -  Petra Jordan",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "599ea4dfd88e629e95fa989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599283471,1686203483471]"
        },
        "R6": {
          "serializedValue": "11028098dc933480a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[7000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "a736b4483316474aad95fca19b6a0e685eeda1ca7fa49d94b577cae583bc2851",
      "mainChain": true
    },
    {
      "boxId": "e48d58c9db73bcf6948003c5b89d769f8300ce80e991275ef80c68aa68d14954",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 19,
      "globalIndex": 29689977,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "10190402040005000400040604000406050404000402040204000400040204000400040004020400040204040500010004000e209ebcd694bf34db4ee3e2ccea0087ca42970743b9e019a1e8d145e8560467c60ed811d601db6903db6503fed602e4c6a70559d6038c720201d6049172017203d605e4c6a7040ed6068c720202d607db6308a7d608830002d609c1a7d60ab27207730001860272087209d60b8c720a02d60cc6a70611d60de4720cd60eb2720d730100d60fe4c6a7070ed61095ec8f720b720e948c720a01720f7302720bd611b2db6501fe730300ea02eb02ea02d17204cdeeb472057304b17205d1957204959172017206d802d612b2a5730500d613927210720eeced8f7210720e9683040193b1a5730693db63087212720792c172129972099c7307e4c67211060593c272127205ed72137213d806d612b2a5730800d613db63087212d614b2721373090186027208c17212d615e4c672110711d616b2a5730a00d617b2db63087216730b0186027208c1721696830c0193c5b2a4730c00c5a7938c721401720f928c721402a29a7210b2720d730d00720e93b27207730e00b27213730f0093c27212c2a793e4c67212040e720593e4c6721205598602720395909972067201b272157310009a7206b27215731100720693c672120611720c93e4c67212070e720f93b172139593b1720f73127313731493c27216e4c6a7080eeced938c721701720f928c721702721093721073157316d1938cb2db63087211731700017318",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "c952fea889ea9ff3a932364576a12a9fcce93e63a9c2b3bd88c1e68ee4b6b352",
          "index": 0,
          "amount": 1,
          "name": "Landmarks -  Egyptian pyramids",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "599ebce0d88e629eadfb989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599293199,1686203493199]"
        },
        "R6": {
          "serializedValue": "110280e888874380a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[9000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "d9912e61a57a9a47723056c321a610e4720a81893c2a811768c58d7bbdd9030a",
      "mainChain": true
    },
    {
      "boxId": "ea0d5390522325a2a769aad3b05f737b3d12b3aa9ba194857cfc710e469853ea",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 20,
      "globalIndex": 29689978,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "a6a241fb90ef66dec1fad6d26880e13b3c0dca253cec0b67ac9ea7b5d29a16fc",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Taj Mahal Agra",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59bcdde0d88e62bccefb989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599295326,1686203495326]"
        },
        "R6": {
          "serializedValue": "110280c0b2cd3b80a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[8000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "c3af5a9de4a4400a1aa11a960f8285ee01977e85dc4af14447af844938bde39d",
      "mainChain": true
    },
    {
      "boxId": "429e76f912f48af9ee06036e7b95f81f82a891f216a25f6896ea8d2eebe48252",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 21,
      "globalIndex": 29689979,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "a527a016cea41d824e6fbe8cb2694d8c00fd2b72c44b22172c1ee72cc674eb5f",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Buckingham Palace",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "598c90e1d88e628c81fc989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599298566,1686203498566]"
        },
        "R6": {
          "serializedValue": "11028090dfc04a80a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "6f4498818971bd90c116aff8612572ae76abdad0e324021b45e9752d10002339",
      "mainChain": true
    },
    {
      "boxId": "ad54b678895a98e2fb5a1e6db8a22cc4f81ca3b182e1ee9dec70a6827ac57ee7",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 22,
      "globalIndex": 29689980,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "adfc1d35484c991030000f5c6b106ea67417c49d7bfca677f89f9840ab3e9a28",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Chichen Itza Mexico",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59ecafe1d88e62eca0fc989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599300598,1686203500598]"
        },
        "R6": {
          "serializedValue": "110280c0b2cd3b80a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[8000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "7c472b3fa275c3690bf4e5753066c83de1d9fc6829896c9e6d58459d8650ebc2",
      "mainChain": true
    },
    {
      "boxId": "ac30d7890678a799abbb17776d46c77073065855397546e1cbc670636558921f",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 23,
      "globalIndex": 29689981,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "10190402040005000400040604000406050404000402040204000400040204000400040004020400040204040500010004000e209ebcd694bf34db4ee3e2ccea0087ca42970743b9e019a1e8d145e8560467c60ed811d601db6903db6503fed602e4c6a70559d6038c720201d6049172017203d605e4c6a7040ed6068c720202d607db6308a7d608830002d609c1a7d60ab27207730001860272087209d60b8c720a02d60cc6a70611d60de4720cd60eb2720d730100d60fe4c6a7070ed61095ec8f720b720e948c720a01720f7302720bd611b2db6501fe730300ea02eb02ea02d17204cdeeb472057304b17205d1957204959172017206d802d612b2a5730500d613927210720eeced8f7210720e9683040193b1a5730693db63087212720792c172129972099c7307e4c67211060593c272127205ed72137213d806d612b2a5730800d613db63087212d614b2721373090186027208c17212d615e4c672110711d616b2a5730a00d617b2db63087216730b0186027208c1721696830c0193c5b2a4730c00c5a7938c721401720f928c721402a29a7210b2720d730d00720e93b27207730e00b27213730f0093c27212c2a793e4c67212040e720593e4c6721205598602720395909972067201b272157310009a7206b27215731100720693c672120611720c93e4c67212070e720f93b172139593b1720f73127313731493c27216e4c6a7080eeced938c721701720f928c721702721093721073157316d1938cb2db63087211731700017318",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "QKXspDTHfFsBWcxukx5xmM42NB3U9gax46cP5BEAzwX5shBbnMhMxTzigZEoLj9LED1zr4LJX5siZACfsuZpuua8NjdWjM1tz3oBh2kEQEMfLrj3Z7SaEmkZmQSHrwFJUJF4ZR2URZyA4dEhjwzUmAwPZjwyV3dwdQo7GRvrhEnfPUjpXDutcdeceeJyAMYVdc4EiHAWNM8c5mLrAkmBjsjMnuWLR6pe2xms8xGkuYGAjYxU9rmp6iGjrba22bdoGXKknbaBEaDFEF8hCJZnbHZXypuTVd1wb5oNjrkq5Wg5zP95gbvirGeNgT6qWMqdxziWBtCZ9GwP7Pg78PycHU87tcC7MV6BocyArotnJKJKinRh4u13SWmxwXDQUT7vQLfoZUExCYD2K4azAbVuXoHXAHGX4Cnpfy4nJ7NDgp5H9yaQ7ywemgCssX3Us9idnE6rJwEvUXmuyzFGJSqaeUqZ2UjDKX86Buwo6vJRDzhKnukyzS7nXd5si81i1qcmBMyQSAwmVRfsUm4FNqmKTvCMcYwJf19sHz6RUfgv3iAKQysBTjw3oKF5qMXFSsncV3v213nBQnbonGUdxcFauNjzYbXjPzCF1jH9nE8CBp6r3oeCxj1GZXWMWs9Gh9fqzbwzY6eQnCXxt2pkzLZtEXMRWe8HEPQipVcxmtsk8LQdzjoBfAyiJexBRMyspadSf7WTHai8Up67UcazfxyMnSdRVCPfYmkDLkDf4HB5BjK5MVK11w5Hd1FMZDcop6b7",
      "assets": [
        {
          "tokenId": "de1091d5c99bbd8f06daab7679227a4e119bb5c3521f2bf6c819a37aa9113e06",
          "index": 0,
          "amount": 1,
          "name": "Landmarks -  Christ the Redeemer Rio De Janeiro",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59ecefe1d88e62ece0fc989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599304694,1686203504694]"
        },
        "R6": {
          "serializedValue": "110280c0b2cd3b80a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[8000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "c64d03558a315f8e97b04e8a145e8c85805ef2696ce39c9c3d5fdea3f7c07137",
      "mainChain": true
    },
    {
      "boxId": "fb574eff4ba3ea54518651c3965657cce778ab5ef434e02d7803dd72db01b031",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 24,
      "globalIndex": 29689982,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "d12981cc7e1ad8195d366fe743175ae8169bbe7346fd3dfc66178a299d3e5300",
          "index": 0,
          "amount": 1,
          "name": "Landmarks -  Stonehenge England",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59dc96e2d88e62dc87fd989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599307182,1686203507182]"
        },
        "R6": {
          "serializedValue": "110280e888874380a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[9000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "1359e294004febf25b500195363f582578e32ea42a6c02c9b33e229bdfaa3973",
      "mainChain": true
    },
    {
      "boxId": "345a3f8d2da1d9c36f9828c7555a7c95477505157de1844b0cb534ac3d4764d1",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 25,
      "globalIndex": 29689983,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "f7833b6bdd5f9d6233048b051d487688d8d7e16ef7a2e3fbaf327c53e7c743fd",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Arc de Triomphe Paris",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59ecb1e2d88e62eca2fd989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599308918,1686203508918]"
        },
        "R6": {
          "serializedValue": "11028090dfc04a80a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[10000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "1c16e95fa5cac337a7486e6fdfe0918effcbffac495f603ca27b99b692c6cfdf",
      "mainChain": true
    },
    {
      "boxId": "872725bcf94190b374cb6ef56b98bbdf98cca0e0c7c7f234934672b4433b245a",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 26,
      "globalIndex": 29689984,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "edb14e9606579f3a75bb26aab81e60cbb94531e865cf4be9f011822d1f600ad7",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - Vivekananda Rock Memorial",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "59acdae2d88e62accbfd989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599311510,1686203511510]"
        },
        "R6": {
          "serializedValue": "110280c0b2cd3b80a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[8000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R4": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482"
        }
      },
      "spentTransactionId": "24e5c628a73229b3b372e2e452b7d83976cd73fcdb15f49283c9cd7b0f2ed995",
      "mainChain": true
    },
    {
      "boxId": "fb2fcb7dabccf458967ce29ff1b3f20f5027b878ac7e46c658e48c51a1683c54",
      "transactionId": "c7cff1faafb283a8aa3ffc10774ce92fd85f2b3200c19d30fa78906371b66c3d",
      "blockId": "7db4808cd6e45c772dfba9192b51d7c314808880a4af9d9dc021c7d9847e4224",
      "value": 15000000,
      "index": 27,
      "globalIndex": 29689985,
      "creationHeight": 1016120,
      "settlementHeight": 1016122,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 3\n5: 0\n6: 3\n7: 2\n8: 0\n9: 1\n10: 1\n11: 0\n12: 0\n13: 1\n14: 0\n15: 0\n16: 0\n17: 1\n18: 0\n19: 1\n20: 2\n21: 0\n22: false\n23: 0\n24: 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 l1 = CONTEXT.preHeader.timestamp\n  val tuple2 = SELF.R5[(Long, Long)].get\n  val l3 = tuple2._1\n  val bool4 = l1 > l3\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = tuple2._2\n  val coll7 = SELF.tokens\n  val coll8 = Coll[Byte]()\n  val l9 = SELF.value\n  val tuple10 = coll7.getOrElse(placeholder[Int](0), (coll8, l9))\n  val l11 = tuple10._2\n  val opt12 = SELF.R6[Coll[Long]]\n  val coll13 = opt12.get\n  val l14 = coll13(placeholder[Int](1))\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val l16 = if ((l11 < l14) || (tuple10._1 != coll15)) { placeholder[Long](2) } else { l11 }\n  val box17 = CONTEXT.dataInputs(placeholder[Int](3))\n  sigmaProp(bool4) && proveDlog(decodePoint(coll5.slice(placeholder[Int](4), coll5.size))) || sigmaProp(if (bool4) { if (l1 > l6) {(\n        val box18 = OUTPUTS(placeholder[Int](5))\n        val bool19 = l16 >= l14\n        ((l16 < l14) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](6), box18.tokens == coll7, box18.value >= l9 - placeholder[Long](7) * box17.R6[Long].get, box18.propositionBytes == coll5))) || (bool19 && bool19)\n      )} else {(\n        val box18 = OUTPUTS(placeholder[Int](8))\n        val coll19 = box18.tokens\n        val tuple20 = coll19.getOrElse(placeholder[Int](9), (coll8, box18.value))\n        val coll21 = box17.R7[Coll[Long]].get\n        val box22 = OUTPUTS(placeholder[Int](10))\n        val tuple23 = box22.tokens.getOrElse(placeholder[Int](11), (coll8, box22.value))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, tuple20._1 == coll15, tuple20._2 >= max(l16 + coll13(placeholder[Int](13)), l14), coll7(placeholder[Int](14)) == coll19(placeholder[Int](15)), box18.propositionBytes == SELF.propositionBytes, box18.R4[Coll[Byte]].get == coll5, box18.R5[(Long, Long)].get == (l3, if (l6 - l1 <= coll21(placeholder[Int](16))) { l6 + coll21(placeholder[Int](17)) } else { l6 }), box18.R6[Coll[Long]] == opt12, box18.R7[Coll[Byte]].get == coll15, coll19.size == if (coll15.size == placeholder[Int](18)) { placeholder[Int](19) } else { placeholder[Int](20) }, box22.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple23._1 == coll15) && (tuple23._2 >= l16)) || (l16 == placeholder[Long](21))))\n      )} } else { placeholder[Boolean](22) }) && sigmaProp(box17.tokens(placeholder[Int](23))._1 == placeholder[Coll[Byte]](24))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ecfbec2a72bb129aab458094ee93706d1af182549c0890f4ce3bd0648653ef29",
          "index": 0,
          "amount": 1,
          "name": "Landmarks - white obelisk of washington",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "598cb2e3d88e628ca3fe989362",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1685599317126,1686203517126]"
        },
        "R6": {
          "serializedValue": "110280f085da2c80a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[6000000000,1000000000]"
        },
        "R8": {
          "serializedValue": "0e240008cd02eaccb7004435f6ca3a1228125368e5ab0cdae3c36a142cf785b8b5029fba7482",
          "sigmaType": "Coll[SByte]",
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          "sigmaType": "(SLong, SLong)",
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(eaccb7,c94ac1,...)))}",
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