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Transaction

9/7/2023 05:26:31 AM
ID: 3209796d86...7243
Inputs (17)
#0
bdde79214789...8d12
Spent
Address:
9epiyYKrhwYo...q1TS
Output transaction:
df1fff7a7ddf...37f8
Settlement height:
1,071,283
Value:
0.004 ERG
Tokens:
Loading assets...
#1
fff82366f652...7a9b
Spent
Address:
9epiyYKrhwYo...q1TS
Output transaction:
2bc4766f704a...e582
Settlement height:
1,071,283
Value:
0.004 ERG
Tokens:
Loading assets...
#2
e53fb01e0fc3...4f9b
Spent
Address:
9epiyYKrhwYo...q1TS
Output transaction:
67f854901635...9ef4
Settlement height:
1,071,283
Value:
0.004 ERG
Tokens:
Loading assets...
#3
705a05c4f284...1c88
Spent
Address:
9epiyYKrhwYo...q1TS
Output transaction:
11dae23c2d85...f73c
Settlement height:
1,071,283
Value:
0.004 ERG
Tokens:
Loading assets...
#4
9b9b4379025c...5aef
Spent
Address:
9epiyYKrhwYo...q1TS
Output transaction:
440484aa07af...418f
Settlement height:
1,071,283
Value:
0.004 ERG
Tokens:
Loading assets...
#5
c5299a59e1c5...6fb9
Spent
Address:
9epiyYKrhwYo...q1TS
Output transaction:
539870cfcb82...8205
Settlement height:
1,071,283
Value:
0.004 ERG
Tokens:
Loading assets...
#6
c88878dcf2ac...c44a
Spent
Address:
9epiyYKrhwYo...q1TS
Output transaction:
de85c1e54c3d...ab9b
Settlement height:
1,071,283
Value:
0.004 ERG
Tokens:
Loading assets...
#7
47e7dd30fed8...d690
Spent
Address:
9epiyYKrhwYo...q1TS
Output transaction:
cc2dfdea63c1...9fb8
Settlement height:
1,071,283
Value:
0.004 ERG
Tokens:
Loading assets...
#8
063b6184a973...e321
Spent
Address:
9epiyYKrhwYo...q1TS
Output transaction:
c024b5903ab1...b230
Settlement height:
1,071,283
Value:
0.004 ERG
Tokens:
Loading assets...
#9
474498e49981...c853
Spent
Address:
9epiyYKrhwYo...q1TS
Output transaction:
0ec6ced6bf31...6a23
Settlement height:
1,071,283
Value:
0.004 ERG
Tokens:
Loading assets...
#10
f54132d3e3c7...90e6
Spent
Address:
9epiyYKrhwYo...q1TS
Output transaction:
3ba89facff59...5312
Settlement height:
1,071,283
Value:
0.004 ERG
Tokens:
Loading assets...
#11
d1915d2ce8c5...02bd
Spent
Address:
9epiyYKrhwYo...q1TS
Output transaction:
7b6d011f46ee...cd3e
Settlement height:
1,071,283
Value:
0.004 ERG
Tokens:
Loading assets...
#12
4648189d5876...5de9
Spent
Address:
9epiyYKrhwYo...q1TS
Output transaction:
5c466ffe1517...34da
Settlement height:
1,071,283
Value:
0.004 ERG
Tokens:
Loading assets...
#13
bbbe401a8f3b...c38d
Spent
Address:
9epiyYKrhwYo...q1TS
Output transaction:
b9ba5facae85...97a3
Settlement height:
1,071,283
Value:
0.004 ERG
Tokens:
Loading assets...
#14
271a5ee9c9fa...f40b
Spent
Address:
9epiyYKrhwYo...q1TS
Output transaction:
bbcc1d6e5b3c...e8e6
Settlement height:
1,071,283
Value:
0.004 ERG
Tokens:
Loading assets...
#15
26889093e1fd...d13d
Spent
Address:
9epiyYKrhwYo...q1TS
Output transaction:
5360b818e968...b9f0
Settlement height:
1,085,706
Value:
0.968991303 ERG
Tokens:
Loading assets...
#16
04e09ed5e66b...0662
Spent
Address:
9epiyYKrhwYo...q1TS
Output transaction:
0365a8710cbc...aa44
Settlement height:
1,085,706
Value:
0.001080047 ERG
Tokens:
AHT
3,100
Outputs (18)
#0
01950fbefe53...027d
Spent
Address:
Auction House (quE2)
Spent in transaction:
5dc2860713b5...a3cd
Settlement height:
1,085,711
Value:
0.015 ERG
Tokens:
Loading assets...
#1
7e3531ed01d2...b40a
Spent
Address:
Auction House (quE2)
Spent in transaction:
a384282c007a...4d2f
Settlement height:
1,085,711
Value:
0.015 ERG
Tokens:
Loading assets...
#2
87f32d0d8e0b...f0b7
Spent
Address:
Auction House (quE2)
Spent in transaction:
de9cf8868186...f232
Settlement height:
1,085,711
Value:
0.015 ERG
Tokens:
Loading assets...
#3
123e20aa2b14...ecb9
Spent
Address:
Auction House (quE2)
Spent in transaction:
e723772252bb...ed6d
Settlement height:
1,085,711
Value:
0.015 ERG
Tokens:
Loading assets...
#4
c458a2deab71...7dfd
Spent
Address:
Auction House (quE2)
Spent in transaction:
d151f115e3a2...426e
Settlement height:
1,085,711
Value:
0.015 ERG
Tokens:
Loading assets...
#5
5b33fb3c0372...c4d9
Spent
Address:
Auction House (quE2)
Spent in transaction:
50c1816f88c8...3113
Settlement height:
1,085,711
Value:
0.015 ERG
Tokens:
Loading assets...
#6
6f7def84cf6d...25e7
Spent
Address:
Auction House (quE2)
Spent in transaction:
2d5fe245807b...42b7
Settlement height:
1,085,711
Value:
0.015 ERG
Tokens:
Loading assets...
#7
51fcd6538eea...5689
Spent
Address:
Auction House (quE2)
Spent in transaction:
9728d5b30137...241d
Settlement height:
1,085,711
Value:
0.015 ERG
Tokens:
Loading assets...
#8
28781d5a2368...ce4c
Spent
Address:
Auction House (quE2)
Spent in transaction:
10ee4268109e...af3a
Settlement height:
1,085,711
Value:
0.015 ERG
Tokens:
Loading assets...
#9
95a1cbf06624...3f52
Spent
Address:
Auction House (quE2)
Spent in transaction:
495e25cb9b76...c277
Settlement height:
1,085,711
Value:
0.015 ERG
Tokens:
Loading assets...
#10
10895c026731...d28d
Spent
Address:
Auction House (quE2)
Spent in transaction:
ec2471434821...e647
Settlement height:
1,085,711
Value:
0.015 ERG
Tokens:
Loading assets...
#11
6aa3bbda8321...d77f
Spent
Address:
Auction House (quE2)
Spent in transaction:
52b1e8d0e91c...2539
Settlement height:
1,085,711
Value:
0.015 ERG
Tokens:
Loading assets...
#12
5c9cc5015366...f980
Spent
Address:
Auction House (quE2)
Spent in transaction:
7e840396baf3...d612
Settlement height:
1,085,711
Value:
0.015 ERG
Tokens:
Loading assets...
#13
4a107bee7546...1f64
Spent
Address:
Auction House (quE2)
Spent in transaction:
b5da5a9d15eb...c9b6
Settlement height:
1,085,711
Value:
0.015 ERG
Tokens:
Loading assets...
#14
8706ceeb6e03...6d02
Spent
Address:
Auction House (quE2)
Spent in transaction:
d1089fde081c...b379
Settlement height:
1,085,711
Value:
0.015 ERG
Tokens:
Loading assets...
#15
791f469678d7...307d
Spent
Address:
9epiyYKrhwYo...q1TS
Spent in transaction:
7681310dbe73...e46f
Settlement height:
1,085,711
Value:
0.79507135 ERG
Tokens:
Loading assets...
#16
2f889e412e44...7f68
Spent
Address:
9gjghouPwq9T...Azvo
Spent in transaction:
7fece15071d5...f796
Settlement height:
1,085,711
Value:
0.005 ERG
Tokens:
AHT
3,039.53
#17
82016875d029...6929
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
ea5f66348e61...460c
Settlement height:
1,085,711
Value:
0.005 ERG
Transaction Details
Status: Confirmed
Size: 18.43 KB
Received time: 9/7/2023 05:26:31 AM
Included in blocks: 1,085,711
Confirmations: 681,203
Total coins transferred: 1.03 ERG
Fees: 0.005 ERG
Fees per byte: 0.000000265 ERG
Raw Transaction Data
{
  "id": "3209796d86b741a300e08d6573fd37dd3b0748dff2f4061a47810bfbf0287243",
  "blockId": "c114ab2594751fc6616c378caa0f2f33741b6966ac0453164ecf6f991f0c7101",
  "inclusionHeight": 1085711,
  "timestamp": 1694064391543,
  "index": 1,
  "globalIndex": 5791579,
  "numConfirmations": 681203,
  "inputs": [
    {
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      "value": 4000000,
      "index": 0,
      "spendingProof": "ac469043212b5370a3c974a76ef3c624cec5794a330ba949d1a6229de85087bf2aaef9d446ae3fe756c1edae8e046f6723c8364873d37077",
      "outputBlockId": "b87fc04f3fab27aac173b7a09a34c944166972c9c4d26f1b0c93056c628bce65",
      "outputTransactionId": "df1fff7a7ddf80b724298a9e19af07ff1152aae63e81de0c6d98e1ab5ae937f8",
      "outputIndex": 0,
      "outputGlobalIndex": 31882619,
      "outputCreatedAt": 1071281,
      "outputSettledAt": 1071283,
      "ergoTree": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(281b33,5c5490,...)))}",
      "address": "9epiyYKrhwYopmvpcq9T7f1PQeXKUYnofLL5FxcoiyxwzTiq1TS",
      "assets": [
        {
          "tokenId": "9113cdf89827da30f36242961494119d9fecd8a5d286026b1d76a6c4c3a84c25",
          "index": 0,
          "amount": 1,
          "name": "Tokenart Shark #1",
          "decimals": 0,
          "type": "EIP-004"
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      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "fff82366f652cfa55b42b655de46c658625dd4c56aa1f54edbd0806c313c7a9b",
      "value": 4000000,
      "index": 1,
      "spendingProof": "7bc8b2986a5b967597aa0f191bb5171a11eb9337d703ded1de87790ee84445529c4c5ddfa961587dea1c617e96f6c1065e7deb374b351c01",
      "outputBlockId": "b87fc04f3fab27aac173b7a09a34c944166972c9c4d26f1b0c93056c628bce65",
      "outputTransactionId": "2bc4766f704a0474ed80faa2f6ec33f0be4f4009b445f481812fe891809ce582",
      "outputIndex": 0,
      "outputGlobalIndex": 31882595,
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      "ergoTree": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(281b33,5c5490,...)))}",
      "address": "9epiyYKrhwYopmvpcq9T7f1PQeXKUYnofLL5FxcoiyxwzTiq1TS",
      "assets": [
        {
          "tokenId": "f19360e92ecd5161a8325c6088925f8d58dff849765281603b9e4e606ae549eb",
          "index": 0,
          "amount": 1,
          "name": "Tokenart Panda #1",
          "decimals": 0,
          "type": "EIP-004"
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      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "e53fb01e0fc3602eb71c067079b1f7b8a1c82e7c3c5d84a4dac0ce8175ed4f9b",
      "value": 4000000,
      "index": 2,
      "spendingProof": "1f155ae9b43ec647e89e54191b8bf253060c83862e1141bab6bdc5eebbd303ff364e4c018c2ca39517180c586a71f87f3a6856a31cbbf4a4",
      "outputBlockId": "b87fc04f3fab27aac173b7a09a34c944166972c9c4d26f1b0c93056c628bce65",
      "outputTransactionId": "67f85490163522096044df6449e338ba9fa54d24b5900288aafa259233aa9ef4",
      "outputIndex": 0,
      "outputGlobalIndex": 31882605,
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      "ergoTree": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(281b33,5c5490,...)))}",
      "address": "9epiyYKrhwYopmvpcq9T7f1PQeXKUYnofLL5FxcoiyxwzTiq1TS",
      "assets": [
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          "tokenId": "89eb1404a6fc829eaf2ca03db28697ee8ccabd5223ba0003c4db4851e4235f45",
          "index": 0,
          "amount": 1,
          "name": "Tokenart Halloween #8. Spider",
          "decimals": 0,
          "type": "EIP-004"
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      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "705a05c4f284b2262e5955ccf960e940f5983212b013996609d2841febc21c88",
      "value": 4000000,
      "index": 3,
      "spendingProof": "63f526d9651498997ff53891f13fbb01eaf1a7814af809e27725b3c2f67cd33092e3f1633a69353f61a265a39912501293d902e9e17897f2",
      "outputBlockId": "b87fc04f3fab27aac173b7a09a34c944166972c9c4d26f1b0c93056c628bce65",
      "outputTransactionId": "11dae23c2d8524977cc92746bcdcd6e1e9c10ced8ceeba33ff94b3bccc7ff73c",
      "outputIndex": 0,
      "outputGlobalIndex": 31882593,
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      "ergoTree": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(281b33,5c5490,...)))}",
      "address": "9epiyYKrhwYopmvpcq9T7f1PQeXKUYnofLL5FxcoiyxwzTiq1TS",
      "assets": [
        {
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          "index": 0,
          "amount": 1,
          "name": "Tokenart Halloween #7. Skeleton",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "9b9b4379025c8d92be0a3b11cf128353e8e1a6f6ad749666dc5c287308cc5aef",
      "value": 4000000,
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      "spendingProof": "c8c27adb8b1df278691fbc2926451aa3e87c726f9108a41cc7b4a1cfa65053185da232c66b32d6accc3443dc9bff01e08880bd70ff001907",
      "outputBlockId": "b87fc04f3fab27aac173b7a09a34c944166972c9c4d26f1b0c93056c628bce65",
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      "outputIndex": 0,
      "outputGlobalIndex": 31882599,
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      "ergoTree": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(281b33,5c5490,...)))}",
      "address": "9epiyYKrhwYopmvpcq9T7f1PQeXKUYnofLL5FxcoiyxwzTiq1TS",
      "assets": [
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          "index": 0,
          "amount": 1,
          "name": "Tokenart Halloween #5. Pumpkin",
          "decimals": 0,
          "type": "EIP-004"
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      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "c5299a59e1c5fe3ed8725524a89996464f177e41e0e3fd0ce508d44cd31f6fb9",
      "value": 4000000,
      "index": 5,
      "spendingProof": "c17b438fc7aec4e1598aafed4828d584c8697f82de36680450d06103a6e260c593b5ddac0a34e5f6f5e4b8491d60ba1dec7d66b12df27b34",
      "outputBlockId": "b87fc04f3fab27aac173b7a09a34c944166972c9c4d26f1b0c93056c628bce65",
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      "outputIndex": 0,
      "outputGlobalIndex": 31882601,
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      "ergoTree": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(281b33,5c5490,...)))}",
      "address": "9epiyYKrhwYopmvpcq9T7f1PQeXKUYnofLL5FxcoiyxwzTiq1TS",
      "assets": [
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          "index": 0,
          "amount": 1,
          "name": "Tokenart Halloween #4. Owl",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "c88878dcf2ace1199d6034b1b6292f86b0fad775c3ea4f889bde8500b830c44a",
      "value": 4000000,
      "index": 6,
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      "outputBlockId": "b87fc04f3fab27aac173b7a09a34c944166972c9c4d26f1b0c93056c628bce65",
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      "outputGlobalIndex": 31882617,
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      "ergoTree": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(281b33,5c5490,...)))}",
      "address": "9epiyYKrhwYopmvpcq9T7f1PQeXKUYnofLL5FxcoiyxwzTiq1TS",
      "assets": [
        {
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          "index": 0,
          "amount": 1,
          "name": "Tokenart Halloween #2. Ghost",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "47e7dd30fed8bd15e0265a9fe18aa7fa4146c386cea5149ffdc8b4979bbed690",
      "value": 4000000,
      "index": 7,
      "spendingProof": "379c4d7cdad076dfb7f108779a71cbbafc0368991889db81c7d8020933b78fbe04024acecab04ffc8a6456da6e2ce02fe160a88ed82282c5",
      "outputBlockId": "b87fc04f3fab27aac173b7a09a34c944166972c9c4d26f1b0c93056c628bce65",
      "outputTransactionId": "cc2dfdea63c1801f884d10b4359b8478df4f18f9e9482f13b051bdc47d9a9fb8",
      "outputIndex": 0,
      "outputGlobalIndex": 31882615,
      "outputCreatedAt": 1071281,
      "outputSettledAt": 1071283,
      "ergoTree": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(281b33,5c5490,...)))}",
      "address": "9epiyYKrhwYopmvpcq9T7f1PQeXKUYnofLL5FxcoiyxwzTiq1TS",
      "assets": [
        {
          "tokenId": "f04267ded3ad1d3e51e6b16c9f8d28b7b89ee55bf2a6b63a694e8f0a0c50e376",
          "index": 0,
          "amount": 1,
          "name": "Tokenart Bull #4",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "063b6184a9739a4213b57a3098d34ad310bf88adfd8268d72bad3d2382dee321",
      "value": 4000000,
      "index": 8,
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        {
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        {
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        {
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        },
        {
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        },
        {
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        {
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        {
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        {
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        {
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        {
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        {
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        {
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        {
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        },
        {
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        {
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        {
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          "name": "Female #01",
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        {
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          "name": "Character #23. Ergo Frog",
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        },
        {
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          "name": "Spirit #1",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "amount": 1,
          "name": "Forest #4",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "name": "Guru #05",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "amount": 1,
          "name": "Character #16. Space warrior",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "cc1d86f5cf601ae351fb85fa140e5f789354b56319d643d788b939ad0a31eded",
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          "amount": 1,
          "name": "Monster #1",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "amount": 1,
          "name": "Animal pop art #00. Collection Token",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "amount": 1,
          "name": "Pets #01. Cats",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "name": "Tokenart Cat #3",
          "decimals": 0,
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        },
        {
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          "decimals": 0,
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        },
        {
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          "amount": 1,
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          "type": "EIP-004"
        },
        {
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          "name": "Hobby #01",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "name": "Human skull #01",
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          "type": "EIP-004"
        },
        {
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          "index": 66,
          "amount": 1,
          "name": "Hobby #02",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "b3179f9e18927f8a10b94c1d60625d7e7f44f1cf795016e6c13e3226489ee29f",
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          "amount": 1,
          "name": "Microcircuit #3/8",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "e046a27532884dd03e4e67154fc12f6c8c4ec534a7d3f5730485b5616ffeb556",
          "index": 68,
          "amount": 1,
          "name": "Landscape #87",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "cb810c1a793d1069c32cc07ff2ae2e9b660f0a4079ffe177856a94144a0b70f8",
          "index": 69,
          "amount": 1,
          "name": "Landscape #89",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "2467bb32b882c39f3fe60e6853e6085e8f3c2acf7dea88bc2097e2844b6190eb",
          "index": 70,
          "amount": 1,
          "name": "Character #20. Ergo Frog",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "04e09ed5e66b8909586211c9213cf6eb625794dbb863718a53dcc97f42c60662",
      "value": 1080047,
      "index": 16,
      "spendingProof": "5e4bd5c2a5ea21da27bca27f80e87f557e417e625a34dd9ad38b138299b725c5d593de5d7010be0159f6337abac73aae3ef5fb01a685a504",
      "outputBlockId": "d4d6a4c64752dff5a9135cae0a3fea4e72449a9cce9e10d0aeee41294416ac83",
      "outputTransactionId": "0365a8710cbc476828ffc0d61b90443051a20bd57d2e71fc95632a36e2afaa44",
      "outputIndex": 1,
      "outputGlobalIndex": 32423601,
      "outputCreatedAt": 1085704,
      "outputSettledAt": 1085706,
      "ergoTree": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(281b33,5c5490,...)))}",
      "address": "9epiyYKrhwYopmvpcq9T7f1PQeXKUYnofLL5FxcoiyxwzTiq1TS",
      "assets": [
        {
          "tokenId": "18c938e1924fc3eadc266e75ec02d81fe73b56e4e9f4e268dffffcb30387c42d",
          "index": 0,
          "amount": 31000000,
          "name": "AHT",
          "decimals": 4,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "573d9010b852894b9f99bc072933e6cfa115b490f857451e385dbc2e8448cf7c",
      "value": 4219364,
      "index": 0,
      "outputBlockId": "b3cfb684232fe21e89a8132c966b08c6772b72369822c397d25a7bc8e98c9bda",
      "outputTransactionId": "aa58e9d389d3044fda4201159d5d62752e0820f8d0b8506cec28ac4fd0ea826e",
      "outputIndex": 0,
      "ergoTree": "0008cd03b04048a9708f0a2b109d75513a2483e3b9ede622efb3cc03bdddf93bccd93ac5",
      "address": "9hoRnjysKfkwZSCgSFNzSXMohwYn8DqruuYxD6vT7Ubw55qnwiZ",
      "assets": [],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8"
        },
        "R6": {
          "serializedValue": "0580dac409",
          "sigmaType": "SLong",
          "renderedValue": "10000000"
        },
        "R8": {
          "serializedValue": "058084af5f",
          "sigmaType": "SLong",
          "renderedValue": "100000000"
        },
        "R7": {
          "serializedValue": "110280dddb0180fca402",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1800000,2400000]"
        },
        "R4": {
          "serializedValue": "0428",
          "sigmaType": "SInt",
          "renderedValue": "20"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "01950fbefe5370f5a6d2a0828dd10c4bb6a291224e719f2b284187f4c533027d",
      "transactionId": "3209796d86b741a300e08d6573fd37dd3b0748dff2f4061a47810bfbf0287243",
      "blockId": "c114ab2594751fc6616c378caa0f2f33741b6966ac0453164ecf6f991f0c7101",
      "value": 15000000,
      "index": 0,
      "globalIndex": 32423662,
      "creationHeight": 1085707,
      "settlementHeight": 1085711,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "9113cdf89827da30f36242961494119d9fecd8a5d286026b1d76a6c4c3a84c25",
          "index": 0,
          "amount": 1,
          "name": "Tokenart Shark #1",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94"
        },
        "R5": {
          "serializedValue": "59f29ab6e1cd6290aae8b1eb63",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1694064101049,1715220581000]"
        },
        "R6": {
          "serializedValue": "110380d0dbc3f4020002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[50000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": "5dc2860713b5a01f1e4233f67ebc73bf0241f623ec84a38e318378d350fea3cd",
      "mainChain": true
    },
    {
      "boxId": "7e3531ed01d2c1dd534d2d24d9c5aaed17cc73972f7629b3ada4bbfd0234b40a",
      "transactionId": "3209796d86b741a300e08d6573fd37dd3b0748dff2f4061a47810bfbf0287243",
      "blockId": "c114ab2594751fc6616c378caa0f2f33741b6966ac0453164ecf6f991f0c7101",
      "value": 15000000,
      "index": 1,
      "globalIndex": 32423663,
      "creationHeight": 1085707,
      "settlementHeight": 1085711,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "f19360e92ecd5161a8325c6088925f8d58dff849765281603b9e4e606ae549eb",
          "index": 0,
          "amount": 1,
          "name": "Tokenart Panda #1",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94"
        },
        "R5": {
          "serializedValue": "59f29ab6e1cd6290aae8b1eb63",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1694064101049,1715220581000]"
        },
        "R6": {
          "serializedValue": "110380e8eda1ba010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[25000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": "a384282c007adbdae95da27ef7da0cc65aa3a3c71534b89278198344ffb24d2f",
      "mainChain": true
    },
    {
      "boxId": "87f32d0d8e0b4386bed42ed8d4114bc23222a7853a91680ab17224b6a086f0b7",
      "transactionId": "3209796d86b741a300e08d6573fd37dd3b0748dff2f4061a47810bfbf0287243",
      "blockId": "c114ab2594751fc6616c378caa0f2f33741b6966ac0453164ecf6f991f0c7101",
      "value": 15000000,
      "index": 2,
      "globalIndex": 32423664,
      "creationHeight": 1085707,
      "settlementHeight": 1085711,
      "ergoTree": "102c04000400040404020404040004020400040604000406050404020400040004d00f040004040414040404000400040005d00f05d00f04000400040404140406040005d00f040405d00f0400040604060400050001000101010004000e209ebcd694bf34db4ee3e2ccea0087ca42970743b9e019a1e8d145e8560467c60ed814d601e4c6a7040ed602db6903db6503fed603e4c6a70559d6048c720301d605b2db6501fe730000d606e4c672050404d607e4c6a70611d60899b272077301009c9d9972027204b27207730200b27207730300d609b2a5730401a7d60adb63087209d60b830002d60cc17209d60d8602720b720cd60eb2720a730501720dd60fe4c6a7070ed610b2a5730601a7d611db63087210d612c17210d6138602720b7212d614b272117307017213ea02eb02cdeeb472017308b17201d1959172027204959172028c720302d801d615b2a57309009683040193b1a5730a93db63087215db6308a792c1721599c1a79c730be4c67205060593c272157201d80fd6157209d616720ad617720bd618720cd619720dd61a720ed61b7210d61ce5c6721b0463b2a599b1a5730c00d61dc6721c0404d61ee6721dd61f7211d6207212d6217213d6227214d623b2db6308a7730d009683050193c5b2a4730e00c5a7eded93c272157201928c721a029d9c72087e9999730f720695721ed801d624e5721d731095ec8f722473119272247312722495ed9372247313e6c6721c050c4c0eb0e5c6721c050c4c0e83004c0e7314d90125404c0e9a8c7225018c8c7225020273157316057317938c721a01720feded93c2721be4c67205050e928c7222029d9c72087e7206057318938c722201720f937223b2db6308b2a5731901a7731a00ed95721ed801d624e4721d95ec8f7224731b927224731cd802d625b2a5731d01a7d626b2db63087225731e0186027217c17225eded928c7226029d9c72087e722405731f938c722601720f93c27225c2721c95ed9372247320e6c6721c050c4c0ed802d625e5c6721c050c4c0e83004c0ed626b1722593b4ad7225d901274c0e86028c7227019d9c7e8c722702057208732173227226adb4a573239a73247226d9012763d801d629b2db6308722773250186027217c1722795938c722901720f8602c272278c7229028602721773267327732893cbc3721c8c7223017329d1938cb2db63087205732a0001732b",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "89eb1404a6fc829eaf2ca03db28697ee8ccabd5223ba0003c4db4851e4235f45",
          "index": 0,
          "amount": 1,
          "name": "Tokenart Halloween #8. Spider",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94"
        },
        "R5": {
          "serializedValue": "59f29ab6e1cd6290aae8b1eb63",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1694064101049,1715220581000]"
        },
        "R6": {
          "serializedValue": "110380d88ee16f0002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[15000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": "de9cf8868186e250619e18c7715c99511e6e4e20ae196c78e76a5c7eae71f232",
      "mainChain": true
    },
    {
      "boxId": "123e20aa2b14e6d8ad9166fb5e91f05200366d79400d0240cc9e356838eeecb9",
      "transactionId": "3209796d86b741a300e08d6573fd37dd3b0748dff2f4061a47810bfbf0287243",
      "blockId": "c114ab2594751fc6616c378caa0f2f33741b6966ac0453164ecf6f991f0c7101",
      "value": 15000000,
      "index": 3,
      "globalIndex": 32423665,
      "creationHeight": 1085707,
      "settlementHeight": 1085711,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ad7e9493ae641895c9960d21b8a5c4e7768633c91be8d03f6425e342b8cbe1e3",
          "index": 0,
          "amount": 1,
          "name": "Tokenart Halloween #7. Skeleton",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94"
        },
        "R5": {
          "serializedValue": "59f29ab6e1cd6290aae8b1eb63",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1694064101049,1715220581000]"
        },
        "R6": {
          "serializedValue": "110380f8cce284020002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[35000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": "e723772252bb911245e09f41de0e9e9c2326a905c5737e59f3f16e7d243ced6d",
      "mainChain": true
    },
    {
      "boxId": "c458a2deab71f54ffe387f7972ba0accab33acb79c037bd569b55e75a6aa7dfd",
      "transactionId": "3209796d86b741a300e08d6573fd37dd3b0748dff2f4061a47810bfbf0287243",
      "blockId": "c114ab2594751fc6616c378caa0f2f33741b6966ac0453164ecf6f991f0c7101",
      "value": 15000000,
      "index": 4,
      "globalIndex": 32423666,
      "creationHeight": 1085707,
      "settlementHeight": 1085711,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "e798a44409d819218bc967e3b3b82aaa18684c096d04b41880fd37fc6ca18d32",
          "index": 0,
          "amount": 1,
          "name": "Tokenart Halloween #5. Pumpkin",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94"
        },
        "R5": {
          "serializedValue": "59f29ab6e1cd6290aae8b1eb63",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1694064101049,1715220581000]"
        },
        "R6": {
          "serializedValue": "110380d88ee16f0002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[15000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": "d151f115e3a2e058eac106853b696e713d6db95a2fa95443632c86f8c784426e",
      "mainChain": true
    },
    {
      "boxId": "5b33fb3c037299249ed44a43da5f8c4e9b955499751a836bfd8507642149c4d9",
      "transactionId": "3209796d86b741a300e08d6573fd37dd3b0748dff2f4061a47810bfbf0287243",
      "blockId": "c114ab2594751fc6616c378caa0f2f33741b6966ac0453164ecf6f991f0c7101",
      "value": 15000000,
      "index": 5,
      "globalIndex": 32423667,
      "creationHeight": 1085707,
      "settlementHeight": 1085711,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "f3cc4f8594755e384c86406ea7f58e8954a3f28946ba766e7f01a75aa2d2b9b0",
          "index": 0,
          "amount": 1,
          "name": "Tokenart Halloween #4. Owl",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94"
        },
        "R5": {
          "serializedValue": "59f29ab6e1cd6290aae8b1eb63",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1694064101049,1715220581000]"
        },
        "R6": {
          "serializedValue": "110380e8eda1ba010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[25000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": "50c1816f88c80ad2154cfbec9e2e100bcc65b570ad958f8e36dd5867a1383113",
      "mainChain": true
    },
    {
      "boxId": "6f7def84cf6d578c605484cb6c028019df97b37b1aa59eb55efa434510f325e7",
      "transactionId": "3209796d86b741a300e08d6573fd37dd3b0748dff2f4061a47810bfbf0287243",
      "blockId": "c114ab2594751fc6616c378caa0f2f33741b6966ac0453164ecf6f991f0c7101",
      "value": 15000000,
      "index": 6,
      "globalIndex": 32423668,
      "creationHeight": 1085707,
      "settlementHeight": 1085711,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1ebb9d17ab02535dc4d52c54902de4edc4fda6c58aaf981386a5a1fcd7b7e590",
          "index": 0,
          "amount": 1,
          "name": "Tokenart Halloween #2. Ghost",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94"
        },
        "R5": {
          "serializedValue": "59f29ab6e1cd6290aae8b1eb63",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1694064101049,1715220581000]"
        },
        "R6": {
          "serializedValue": "110380b09dc2df010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[30000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": "2d5fe245807bd22308ecbbe790a9c8dd252e436015001d649a02952203e342b7",
      "mainChain": true
    },
    {
      "boxId": "51fcd6538eea8d573a6ecd4b3c9f224a47a93c0b22ce12bf992a706f78475689",
      "transactionId": "3209796d86b741a300e08d6573fd37dd3b0748dff2f4061a47810bfbf0287243",
      "blockId": "c114ab2594751fc6616c378caa0f2f33741b6966ac0453164ecf6f991f0c7101",
      "value": 15000000,
      "index": 7,
      "globalIndex": 32423669,
      "creationHeight": 1085707,
      "settlementHeight": 1085711,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "quE2HvwgAp7z8q4tD1BfCfj72TPziUHqruk3L8jUWQ7bWGD7ugdkpkgYx9kztPTmJborN4baTrHuenaZrCtoB3VHeLjQUQACzZ67qpnMGUAyGs93mUpwodKekvSM8Y6rCFVMxFw76MD8ZUjMPd2J8awcfECurL9v6HkjFnzKJr72NXdQ18XYYGRneXbbkgU5qzUKTLoC2weUGsDpNhfDh9xBGV7CYconikP79c9b3ZcquSBdNCu4G5r2uvBVTHXaFgk5TioeSL4SqwS5sugeEeicTPre842uZBzNd7B3XqE75Rjum1bz1vBgGtadMqt2XRui7tqaK44LjeYfds3N4CWZsYwx69h2PpHFrU9Mzvvj3ju6XGVS5X6GnyGgttXiHgokZPhD45m2etzAUXovNPeutrw5zmQudCh9jXBSfujXDBPS7ohC7qLj3Hj4zfRJTmUzPNMEUGLED57kowMXdAq95h4LciSLcNgZjM3dAwVkkPFgTnu1gvFSR6HAb78d8cx4khpf5bvtPpRxLk1vXeqRxBagUQwgaTBJUEAbxF9bfs7TQBzboKL5krjpqXKydYQb5pbZ64bRk6U6hzNjmn8XEexRE8RACaJrk9MvtXVVqJRyKRkWRvMKgo3QtfXR1qNZcXKV5AHzwCPfHXfxXAkSkEPPXFxYyj33KLuuLAw7LyWqL1v6fFXzohq1oZB3tqXGZbksri3i86cCtMoUFUCUHT2BgCxUmQVGnuUvNTe69PU5VKraGowqUo8MJFXS7njsW7uZyK867qZpPPXwu2fLgK2whDihx6JKY1Ub3aw3mUkjbdqhMxSh4m6ZhD2piJYwtiEb7juZhrhVWVqaJDFCc2aED8Vdc1Z4W9pEt8UKhHcLcHn6CiaSHiyhFwRY3bMuVZwtY2XFwzQRSfW2VyYoC5Dqby43xYuEHe1Ld7ANMsXgHzwwkisdt4rQ1EHMynXM6926DEVYewgxrGEaXdYDymLWZ5DKHdmyvYW6keH9NysQGKytiax8wUyiqyaLhXoqbJCWxrcyu9MZLZpJFRXonKCNK1SAmRkRNQfkmY9jDVnj5nBdjtEGxa9pwAFENv6xa58J1zcA4MD6Tj9B4B36YrWT2TLs7Pp4jMJryA5sUVsL6jn7cEnbjaH78qQw2sicncneBaAoQnFJedyWfnQC3GYRAfRPp3kxfZNsJf2aQQ",
      "assets": [
        {
          "tokenId": "f04267ded3ad1d3e51e6b16c9f8d28b7b89ee55bf2a6b63a694e8f0a0c50e376",
          "index": 0,
          "amount": 1,
          "name": "Tokenart Bull #4",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94"
        },
        "R5": {
          "serializedValue": "59f29ab6e1cd6290aae8b1eb63",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1694064101049,1715220581000]"
        },
        "R6": {
          "serializedValue": "11038088aca3cf020002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[45000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": "9728d5b301371fcbf98a22b4ef5dc4d74802da8ec010f4aa51f8ed67b3ec241d",
      "mainChain": true
    },
    {
      "boxId": "28781d5a23685c85a25c9c88f40150ab99b0c8e7f83f9575a064885c0441ce4c",
      "transactionId": "3209796d86b741a300e08d6573fd37dd3b0748dff2f4061a47810bfbf0287243",
      "blockId": "c114ab2594751fc6616c378caa0f2f33741b6966ac0453164ecf6f991f0c7101",
      "value": 15000000,
      "index": 8,
      "globalIndex": 32423670,
      "creationHeight": 1085707,
      "settlementHeight": 1085711,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "2310918811936334dbcd51814c764991be20f3b9a6229fe19490808ff36b4627",
          "index": 0,
          "amount": 1,
          "name": "Tokenart Bull #3",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94"
        },
        "R5": {
          "serializedValue": "59f29ab6e1cd6290aae8b1eb63",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1694064101049,1715220581000]"
        },
        "R6": {
          "serializedValue": "110380c0fc82aa020002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[40000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": "10ee4268109e21e1813b5f721c03c8cd95ee99c7be7224566131db0af244af3a",
      "mainChain": true
    },
    {
      "boxId": "95a1cbf06624101795c02328174af8d9743341d6b155920d9cadc74a48333f52",
      "transactionId": "3209796d86b741a300e08d6573fd37dd3b0748dff2f4061a47810bfbf0287243",
      "blockId": "c114ab2594751fc6616c378caa0f2f33741b6966ac0453164ecf6f991f0c7101",
      "value": 15000000,
      "index": 9,
      "globalIndex": 32423671,
      "creationHeight": 1085707,
      "settlementHeight": 1085711,
      "ergoTree": "102c04000400040404020404040004020400040604000406050404020400040004d00f040004040414040404000400040005d00f05d00f04000400040404140406040005d00f040405d00f0400040604060400050001000101010004000e209ebcd694bf34db4ee3e2ccea0087ca42970743b9e019a1e8d145e8560467c60ed814d601e4c6a7040ed602db6903db6503fed603e4c6a70559d6048c720301d605b2db6501fe730000d606e4c672050404d607e4c6a70611d60899b272077301009c9d9972027204b27207730200b27207730300d609b2a5730401a7d60adb63087209d60b830002d60cc17209d60d8602720b720cd60eb2720a730501720dd60fe4c6a7070ed610b2a5730601a7d611db63087210d612c17210d6138602720b7212d614b272117307017213ea02eb02cdeeb472017308b17201d1959172027204959172028c720302d801d615b2a57309009683040193b1a5730a93db63087215db6308a792c1721599c1a79c730be4c67205060593c272157201d80fd6157209d616720ad617720bd618720cd619720dd61a720ed61b7210d61ce5c6721b0463b2a599b1a5730c00d61dc6721c0404d61ee6721dd61f7211d6207212d6217213d6227214d623b2db6308a7730d009683050193c5b2a4730e00c5a7eded93c272157201928c721a029d9c72087e9999730f720695721ed801d624e5721d731095ec8f722473119272247312722495ed9372247313e6c6721c050c4c0eb0e5c6721c050c4c0e83004c0e7314d90125404c0e9a8c7225018c8c7225020273157316057317938c721a01720feded93c2721be4c67205050e928c7222029d9c72087e7206057318938c722201720f937223b2db6308b2a5731901a7731a00ed95721ed801d624e4721d95ec8f7224731b927224731cd802d625b2a5731d01a7d626b2db63087225731e0186027217c17225eded928c7226029d9c72087e722405731f938c722601720f93c27225c2721c95ed9372247320e6c6721c050c4c0ed802d625e5c6721c050c4c0e83004c0ed626b1722593b4ad7225d901274c0e86028c7227019d9c7e8c722702057208732173227226adb4a573239a73247226d9012763d801d629b2db6308722773250186027217c1722795938c722901720f8602c272278c7229028602721773267327732893cbc3721c8c7223017329d1938cb2db63087205732a0001732b",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "87bd17aaaef97255fd57ad6937754950e9f95f47648c4520c27b4010efa117a1",
          "index": 0,
          "amount": 1,
          "name": "Tokenart Bull #2",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94"
        },
        "R5": {
          "serializedValue": "59f29ab6e1cd6290aae8b1eb63",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1694064101049,1715220581000]"
        },
        "R6": {
          "serializedValue": "110380e8eda1ba010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[25000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": "495e25cb9b76e504146a2c5c01ccc393d18d923d31612ca39871eed68a23c277",
      "mainChain": true
    },
    {
      "boxId": "10895c0267310f2378061e5e5b3c38df93fa20cc3ebd478f75927de10dadd28d",
      "transactionId": "3209796d86b741a300e08d6573fd37dd3b0748dff2f4061a47810bfbf0287243",
      "blockId": "c114ab2594751fc6616c378caa0f2f33741b6966ac0453164ecf6f991f0c7101",
      "value": 15000000,
      "index": 10,
      "globalIndex": 32423672,
      "creationHeight": 1085707,
      "settlementHeight": 1085711,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "quE2HvwgAp7z8q4tD1BfCfj72TPziUHqruk3L8jUWQ7bWGD7ugdkpkgYx9kztPTmJborN4baTrHuenaZrCtoB3VHeLjQUQACzZ67qpnMGUAyGs93mUpwodKekvSM8Y6rCFVMxFw76MD8ZUjMPd2J8awcfECurL9v6HkjFnzKJr72NXdQ18XYYGRneXbbkgU5qzUKTLoC2weUGsDpNhfDh9xBGV7CYconikP79c9b3ZcquSBdNCu4G5r2uvBVTHXaFgk5TioeSL4SqwS5sugeEeicTPre842uZBzNd7B3XqE75Rjum1bz1vBgGtadMqt2XRui7tqaK44LjeYfds3N4CWZsYwx69h2PpHFrU9Mzvvj3ju6XGVS5X6GnyGgttXiHgokZPhD45m2etzAUXovNPeutrw5zmQudCh9jXBSfujXDBPS7ohC7qLj3Hj4zfRJTmUzPNMEUGLED57kowMXdAq95h4LciSLcNgZjM3dAwVkkPFgTnu1gvFSR6HAb78d8cx4khpf5bvtPpRxLk1vXeqRxBagUQwgaTBJUEAbxF9bfs7TQBzboKL5krjpqXKydYQb5pbZ64bRk6U6hzNjmn8XEexRE8RACaJrk9MvtXVVqJRyKRkWRvMKgo3QtfXR1qNZcXKV5AHzwCPfHXfxXAkSkEPPXFxYyj33KLuuLAw7LyWqL1v6fFXzohq1oZB3tqXGZbksri3i86cCtMoUFUCUHT2BgCxUmQVGnuUvNTe69PU5VKraGowqUo8MJFXS7njsW7uZyK867qZpPPXwu2fLgK2whDihx6JKY1Ub3aw3mUkjbdqhMxSh4m6ZhD2piJYwtiEb7juZhrhVWVqaJDFCc2aED8Vdc1Z4W9pEt8UKhHcLcHn6CiaSHiyhFwRY3bMuVZwtY2XFwzQRSfW2VyYoC5Dqby43xYuEHe1Ld7ANMsXgHzwwkisdt4rQ1EHMynXM6926DEVYewgxrGEaXdYDymLWZ5DKHdmyvYW6keH9NysQGKytiax8wUyiqyaLhXoqbJCWxrcyu9MZLZpJFRXonKCNK1SAmRkRNQfkmY9jDVnj5nBdjtEGxa9pwAFENv6xa58J1zcA4MD6Tj9B4B36YrWT2TLs7Pp4jMJryA5sUVsL6jn7cEnbjaH78qQw2sicncneBaAoQnFJedyWfnQC3GYRAfRPp3kxfZNsJf2aQQ",
      "assets": [
        {
          "tokenId": "5bf4c560910c3210642001da85c5d36d65325aaedfcb9152faae7337a402f1c4",
          "index": 0,
          "amount": 1,
          "name": "Tokenart Bull #1",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94"
        },
        "R5": {
          "serializedValue": "59f29ab6e1cd6290aae8b1eb63",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1694064101049,1715220581000]"
        },
        "R6": {
          "serializedValue": "110380b09dc2df010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[30000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": "ec2471434821305a2d1289f147c0b86aca3d84f346a0a0d1f08e693c194de647",
      "mainChain": true
    },
    {
      "boxId": "6aa3bbda8321f87676968fcf6d437177e0bc4c8a8b89ff0675fdcc2b5e89d77f",
      "transactionId": "3209796d86b741a300e08d6573fd37dd3b0748dff2f4061a47810bfbf0287243",
      "blockId": "c114ab2594751fc6616c378caa0f2f33741b6966ac0453164ecf6f991f0c7101",
      "value": 15000000,
      "index": 11,
      "globalIndex": 32423673,
      "creationHeight": 1085707,
      "settlementHeight": 1085711,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "cee6a1f2c8bd515eabd6b1d68758066dcc032efe50d611b3c6017585351c48b0",
          "index": 0,
          "amount": 1,
          "name": "Tokenart Bird #1",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94"
        },
        "R5": {
          "serializedValue": "59f29ab6e1cd6290aae8b1eb63",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1694064101049,1715220581000]"
        },
        "R6": {
          "serializedValue": "110380a0be8195010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[20000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": "52b1e8d0e91ce4f62324f663318f17eb165efaec9f8d42bf64610f57c0c42539",
      "mainChain": true
    },
    {
      "boxId": "5c9cc5015366f67dab2278dc34a8ee68651aac1c8fb3b3a24bf5a8546c37f980",
      "transactionId": "3209796d86b741a300e08d6573fd37dd3b0748dff2f4061a47810bfbf0287243",
      "blockId": "c114ab2594751fc6616c378caa0f2f33741b6966ac0453164ecf6f991f0c7101",
      "value": 15000000,
      "index": 12,
      "globalIndex": 32423674,
      "creationHeight": 1085707,
      "settlementHeight": 1085711,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "7b3671c4b0d1be01873993a1e4d5890442a91b94eb5ec956c8915374ab17ce2e",
          "index": 0,
          "amount": 1,
          "name": "Tokenart Bear #3",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94"
        },
        "R5": {
          "serializedValue": "59f29ab6e1cd6290aae8b1eb63",
          "sigmaType": "(SLong, SLong)",
          "renderedValue": "[1694064101049,1715220581000]"
        },
        "R6": {
          "serializedValue": "110380e8eda1ba010002",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[25000000000,0,1]"
        },
        "R7": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": "7e840396baf3583266a597f6b1d7586459819c978804b78fe77da9fff43ed612",
      "mainChain": true
    },
    {
      "boxId": "4a107bee754690335e3c4622811557f53f40fdaa3dba90743a01244f99a81f64",
      "transactionId": "3209796d86b741a300e08d6573fd37dd3b0748dff2f4061a47810bfbf0287243",
      "blockId": "c114ab2594751fc6616c378caa0f2f33741b6966ac0453164ecf6f991f0c7101",
      "value": 15000000,
      "index": 13,
      "globalIndex": 32423675,
      "creationHeight": 1085707,
      "settlementHeight": 1085711,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 1\n13: 0\n14: 0\n15: 1000\n16: 0\n17: 2\n18: 10\n19: 2\n20: 0\n21: 0\n22: 0\n23: 1000\n24: 1000\n25: 0\n26: 0\n27: 2\n28: 10\n29: 3\n30: 0\n31: 1000\n32: 2\n33: 1000\n34: 0\n35: 3\n36: 3\n37: 0\n38: 0\n39: false\n40: true\n41: false\n42: 0\n43: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Byte]].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val tuple3 = SELF.R5[(Long, Long)].get\n  val l4 = tuple3._1\n  val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n  val i6 = box5.R4[Int].get\n  val coll7 = SELF.R6[Coll[Long]].get\n  val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n  val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n  val coll10 = box9.tokens\n  val coll11 = Coll[Byte]()\n  val l12 = box9.value\n  val tuple13 = (coll11, l12)\n  val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n  val coll15 = SELF.R7[Coll[Byte]].get\n  val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n  val coll17 = box16.tokens\n  val l18 = box16.value\n  val tuple19 = (coll11, l18)\n  val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n  proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n        val box21 = OUTPUTS(placeholder[Int](9))\n        allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n      )} else {(\n        val box21 = box9\n        val coll22 = coll10\n        val coll23 = coll11\n        val l24 = l12\n        val tuple25 = tuple13\n        val tuple26 = tuple14\n        val box27 = box16\n        val box28 = box27.R4[Box].getOrElse(OUTPUTS(OUTPUTS.size - placeholder[Int](12)))\n        val opt29 = box28.R4[Int]\n        val bool30 = opt29.isDefined\n        val coll31 = coll17\n        val l32 = l18\n        val tuple33 = tuple19\n        val tuple34 = tuple20\n        val tuple35 = SELF.tokens(placeholder[Int](13))\n        allOf(Coll[Boolean](INPUTS(placeholder[Int](14)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](15) - i6 - if (bool30) {(\n                  val i36 = opt29.getOrElse(placeholder[Int](16))\n                  if ((i36 < placeholder[Int](17)) || (i36 >= placeholder[Int](18))) { i36 } else { if ((i36 == placeholder[Int](19)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) { box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](20), {(tuple37: (Int, (Coll[Byte], Int))) => tuple37._1 + tuple37._2._2 }) } else { placeholder[Int](21) } }\n                )} else { placeholder[Int](22) }.toLong / placeholder[Long](23))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple34._2 >= l8 * i6.toLong / placeholder[Long](24))) && (tuple34._1 == coll15), tuple35 == OUTPUTS.getOrElse(placeholder[Int](25), SELF).tokens(placeholder[Int](26)), if (bool30) {(\n              val i36 = opt29.get\n              if ((i36 < placeholder[Int](27)) || (i36 >= placeholder[Int](28))) {(\n                val box37 = OUTPUTS.getOrElse(placeholder[Int](29), SELF)\n                val tuple38 = box37.tokens.getOrElse(placeholder[Int](30), (coll23, box37.value))\n                ((tuple38._2 >= l8 * i36.toLong / placeholder[Long](31)) && (tuple38._1 == coll15)) && (box37.propositionBytes == box28.propositionBytes)\n              )} else { if ((i36 == placeholder[Int](32)) && box28.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n                  val coll37 = box28.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n                  val i38 = coll37.size\n                  coll37.map({(tuple39: (Coll[Byte], Int)) => (tuple39._1, tuple39._2.toLong * l8 / placeholder[Long](33)) }).slice(placeholder[Int](34), i38) == OUTPUTS.slice(placeholder[Int](35), placeholder[Int](36) + i38).map({(box39: Box) =>\n                      val tuple41 = box39.tokens.getOrElse(placeholder[Int](37), (coll23, box39.value))\n                      if (tuple41._1 == coll15) { (box39.propositionBytes, tuple41._2) } else { (coll23, placeholder[Long](38)) }\n                    })\n                )} else { placeholder[Boolean](39) } }\n            )} else { placeholder[Boolean](40) } && (blake2b256(box28.bytes) == tuple35._1)))\n      )} } else { placeholder[Boolean](41) }) && sigmaProp(box5.tokens(placeholder[Int](42))._1 == placeholder[Coll[Byte]](43))\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "6f89d03f9158b8e67093af76d0d7ef02e24af217cb0d88f9cf6881d02a5f0d59",
          "index": 0,
          "amount": 1,
          "name": "Tokenart Bear #2",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02281b33f370b84e14334754af141aed68c7baac8a59dbd488780ec65515444b94"
        },
        "R5": {
          "serializedValue": "59f29ab6e1cd6290aae8b1eb63",
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        "R7": {
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          "sigmaType": "Coll[SByte]",
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      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(281b33,5c5490,...)))}",
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