Ad

Transaction

2/9/2024 03:24:45 PM
ID: 7d083d8676...e6df
Inputs (71)
#0
09f5628ebb44...7d88
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
17b321919f2e...e9f9
Settlement height:
1,196,497
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#1
d81baffd67df...3de0
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
9119bd720ef8...da4c
Settlement height:
1,196,497
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#2
eac09eb790f9...9cdb
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
970db674983f...102a
Settlement height:
1,196,497
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#3
4b31d34b9e7d...1d29
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
04d640c43d31...827f
Settlement height:
1,196,497
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#4
b7783500af5a...931e
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
31a91db23dd0...608e
Settlement height:
1,196,497
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#5
27eae4cb897e...6462
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
52053f8c750d...9a63
Settlement height:
1,196,498
Value:
0.0011 ERG
Tokens:
rspv1CardanoRWT
3,000
#6
77868bcdf7e3...c943
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
7a173096c6ec...bf42
Settlement height:
1,196,498
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#7
4d941745c118...1481
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
602fa7da5aee...4c86
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#8
ded87d85fd1b...4457
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
8f84d9f3e20b...1b1a
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#9
157bb6f4250e...d718
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
04a089e064f5...f842
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#10
d8665221bd05...335e
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
0b08f131f6c3...f8a8
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#11
7034ae9c7cd7...d785
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
11d26e23344c...cd4b
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#12
7638ce472aaa...9c40
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
167bb4597eea...f350
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#13
0d2c4c0b86e5...d0f3
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
2655405863c4...eb46
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#14
4d45f23e3136...2735
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
3e6c3c1e4496...ff93
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#15
e1c4a5ded862...284d
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
4222fea2aed3...f64e
Settlement height:
1,196,500
Value:
0.0011 ERG
Tokens:
rspv1CardanoRWT
3,000
#16
05c9ec88b99e...e76c
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
4bf2bff77900...ab4c
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#17
0328b63b3dfd...2c5f
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
4f3ce7eff3da...750c
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#18
b39ec2e5619a...73a7
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
55ae838b6738...0d0e
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#19
58c2808ab26a...c245
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
56add4927d98...b5cd
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#20
a92b4ce94e04...a85d
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
57bb1f05eeb9...216f
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#21
3ec79ff0c6b2...384a
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
5ff30579c519...4f4f
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#22
08a7f1671959...58d4
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
6263780244d5...5f79
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#23
2166f4248dbc...605e
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
6f656aa1062e...cab0
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#24
8f0cf998a574...d519
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
70fe61a0ed2f...4155
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#25
230569c4d1ff...f115
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
7496c74c2f8f...2efe
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#26
a4ca568c1f4c...6460
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
856feabf92ef...2c6d
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#27
6d75816f5984...360d
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
8a3fc8b28cec...9dff
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#28
f272dae25682...2fdb
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
8bbb00dfe925...bdb5
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#29
3f09da40b715...5870
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
8c032900f4da...8a76
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#30
a629d347e87d...9a28
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
8e4ae830e117...2bdc
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#31
03273a7c69f4...05b0
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
8ec061f78b75...51d5
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#32
db78b14662f5...be1c
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
92a9e8774ed8...6b58
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#33
9eed22e12780...2433
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
98967c6748b5...361f
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#34
5d004e1fc14e...c6c0
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
a4a13984b275...874b
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#35
c7150e722114...59b5
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
aea41faa173c...8b89
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#36
42ddc7e9558b...4a67
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
b0d76b2ce13d...4b9c
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#37
9f4f79a1789f...10f9
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
b4f0ef9efac3...7ddc
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#38
b13b82ca4968...1b15
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
b60bc7827875...3419
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#39
ed83a3180de0...3518
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
b929f1e61d28...19a6
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#40
e635ee9440f3...dba5
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
c45702b367b4...efc4
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#41
da39fb998f0b...3980
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
c9769f558ba2...4023
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#42
648c9e2ac60c...d169
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
cc42d37b7cbf...7958
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#43
50639ceb5366...d89f
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
cf434fc7c6a1...df52
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#44
a3a7b4755186...dfd4
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
d180679eefc4...0457
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#45
26959111af91...dba4
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
d574243a3232...b99b
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#46
7117e404554c...27bc
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
d7500d125976...1a24
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#47
e5425c52adff...1659
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
d7c8c66b2f66...2a3d
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#48
e8727d10f2cd...52c5
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
d82e34cf21ed...8569
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#49
739043beeef4...86ad
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
de1d964180a6...f857
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#50
5068ff3d9bd5...97db
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
de628a1bb6b7...d29a
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#51
104cacbdbe42...91cf
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
e1dba1180e4d...b3e8
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#52
b6cf1a7f0107...ffad
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
e2d1eb1d600c...5b85
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#53
5e24fd8c5b3e...46d4
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
ebff45c9a32b...ec6e
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#54
5339364509be...de15
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
ee1ead6a2744...8221
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#55
edf7005d4765...fb20
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
f7dc54dd5fc6...a6e3
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#56
ceca3fad8e92...17a3
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
fbc29c3b38b1...e9f9
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#57
2f2b44f9c53f...ecd5
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
412a9ab4ada7...1586
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#58
4a8b53e803a8...0c4d
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
480db1e0fa14...e0e5
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#59
25778230b80f...cfe2
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
71eef0c24d59...6fde
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#60
8d069cedaa2b...93fe
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
78356801eec4...579f
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#61
a55d02b2b2d0...5355
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
bb21c48b76fe...a8f3
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#62
25f4dc7f97f9...6820
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
d239d5f1f71b...5f8e
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#63
ade3c7be95a9...a27b
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
dd4e889da3ba...a6bc
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#64
67e21433bac5...33aa
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
e2599c08a106...6650
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#65
2ee97411e263...4d17
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
560d9ec12742...9ba8
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#66
fe8f09a2cb34...26f3
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
4506c708590f...31d1
Settlement height:
1,196,500
Value:
0.003 ERG
Tokens:
rspv1CardanoRWT
3,000
#67
647f60e3c259...4232
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
427ab8c872a1...ac60
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#68
3fab3ab9e11e...9dd8
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
e847fbdd47ac...1cc2
Settlement height:
1,196,500
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#69
fc80040eb198...2fba
Spent
Address:
9fMUmccKVLi6...fWmy
Output transaction:
a305ac89b578...a61a
Settlement height:
1,180,667
Value:
0.002 ERG
Tokens:
RSN
2
#70
b57e5e2a1b9e...2888
Spent
Address:
9fMUmccKVLi6...fWmy
Output transaction:
9c95de3d26de...753b
Settlement height:
1,179,737
Value:
0.002 ERG
Tokens:
RSN
2
Outputs (3)
#0
027846de6c0d...f8ac
Spent
Address:
nzc6aD1QoVYS...9dpU
Spent in transaction:
a55708c7628b...6766
Settlement height:
1,196,503
Value:
0.1372 ERG
Tokens:
rspv1CardanoRWT
207,000
#1
4e65eabe33c1...4de6
Spent
Address:
9fMUmccKVLi6...fWmy
Spent in transaction:
199a0748a747...7af2
Settlement height:
1,196,503
Value:
0.002 ERG
Tokens:
RSN
4
#2
184c21b4fd10...5a8a
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
40f956eac8cd...8ec7
Settlement height:
1,196,503
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 5.77 KB
Received time: 2/9/2024 03:24:45 PM
Included in blocks: 1,196,503
Confirmations: 572,609
Total coins transferred: 0.1412 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000338 ERG
Raw Transaction Data
{
  "id": "7d083d8676cd3322175031b3c2ad57c7a765f69b398df30eda9616c7788de6df",
  "blockId": "afc4c0438e62e106c9bb46714b609d2e9f444f8ffd1c68eb456fe428f0e3c79a",
  "inclusionHeight": 1196503,
  "timestamp": 1707492285551,
  "index": 6,
  "globalIndex": 6605956,
  "numConfirmations": 572609,
  "inputs": [
    {
      "boxId": "09f5628ebb44a506ec8e826ef77e0ab798149ecb7841e1b0c94948237cab7d88",
      "value": 2000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "38680aa71e86353eceda0a18380fa8b8c645d5a1d7a605a159bdfb98fe6dcf19",
      "outputTransactionId": "17b321919f2ee3c254498deeaf76bd9c389761b000da5db549db8ef89566e9f9",
      "outputIndex": 1,
      "outputGlobalIndex": 36783527,
      "outputCreatedAt": 1196495,
      "outputSettledAt": 1196497,
      "ergoTree": "101f04000e209067f5bd556c1592dd4a026cd55099844ddbe9726075019bdaa556305ae7384d0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01202b30e5582145f9bcedfa8a2aa86298ac8a5231ad8945254dfd615b56c93b7af5",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[2b30e5582145f9bcedfa8a2aa86298ac8a5231ad8945254dfd615b56c93b7af5]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e203a40d5248f4c7a37e162dec8c48801dd9e25c7ed5840b6cfe6d9117d305c24f5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "3a40d5248f4c7a37e162dec8c48801dd9e25c7ed5840b6cfe6d9117d305c24f5"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "d81baffd67df33729c504577c27289167ff9201b20cfc7a77fee87e91fb13de0",
      "value": 2000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "38680aa71e86353eceda0a18380fa8b8c645d5a1d7a605a159bdfb98fe6dcf19",
      "outputTransactionId": "9119bd720ef86471c27f7afcde7d9a44bc9b78193019d6d63cb33a247b46da4c",
      "outputIndex": 1,
      "outputGlobalIndex": 36783532,
      "outputCreatedAt": 1196495,
      "outputSettledAt": 1196497,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01200e748945c4de1860fe90ccf65e8883e35525fe2b7a8108c3d25c7d4cf7f92756",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0e748945c4de1860fe90ccf65e8883e35525fe2b7a8108c3d25c7d4cf7f92756]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20fc0c4bfa7d581ed1f2c6bf64a96b8ec7e3217e39283b3d4cd8bdf150f383223d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "fc0c4bfa7d581ed1f2c6bf64a96b8ec7e3217e39283b3d4cd8bdf150f383223d"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "eac09eb790f9ae31760811ffa4d63b3a3eb00ba9f5e0411ff172dd845ad69cdb",
      "value": 2000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "38680aa71e86353eceda0a18380fa8b8c645d5a1d7a605a159bdfb98fe6dcf19",
      "outputTransactionId": "970db674983fe560924bd375ccee67f33cdb7ca8344ae8f423bced5c5de8102a",
      "outputIndex": 1,
      "outputGlobalIndex": 36783537,
      "outputCreatedAt": 1196495,
      "outputSettledAt": 1196497,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01208e4e3b445ed86917bb4b72bf6b6a81b592169adae87e870a93340c1c29b92d3a",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[8e4e3b445ed86917bb4b72bf6b6a81b592169adae87e870a93340c1c29b92d3a]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e206ba9d08960dc355b460c137654d009d4a8281ec1fbb8d3669bc91aeb304fcbc3",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6ba9d08960dc355b460c137654d009d4a8281ec1fbb8d3669bc91aeb304fcbc3"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "4b31d34b9e7def958e95dd304aa6dccc474b135da1875e52c299e223484b1d29",
      "value": 2000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "38680aa71e86353eceda0a18380fa8b8c645d5a1d7a605a159bdfb98fe6dcf19",
      "outputTransactionId": "04d640c43d3181bfba92351433029669092029d48c06ff2c5eb01f7d1832827f",
      "outputIndex": 1,
      "outputGlobalIndex": 36783542,
      "outputCreatedAt": 1196495,
      "outputSettledAt": 1196497,
      "ergoTree": "101f04000e209067f5bd556c1592dd4a026cd55099844ddbe9726075019bdaa556305ae7384d0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120243fdb81eeeebf81c67554062ba3b9cff03ba22e3ad85ab75c2930a948fa10bd",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[243fdb81eeeebf81c67554062ba3b9cff03ba22e3ad85ab75c2930a948fa10bd]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20207442dd4b63a2bd36989a47daf59f2d971c8a42622b08d0497c53eeedd7360b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "207442dd4b63a2bd36989a47daf59f2d971c8a42622b08d0497c53eeedd7360b"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "b7783500af5a4364fd63ba86687701d3b2b6e48d4d8e714bfedb5685f376931e",
      "value": 2000000,
      "index": 4,
      "spendingProof": null,
      "outputBlockId": "38680aa71e86353eceda0a18380fa8b8c645d5a1d7a605a159bdfb98fe6dcf19",
      "outputTransactionId": "31a91db23dd05c6cbc4b679ecaf6507b168d8020e94030362754ddca26ca608e",
      "outputIndex": 1,
      "outputGlobalIndex": 36783547,
      "outputCreatedAt": 1196495,
      "outputSettledAt": 1196497,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01203effc426ba46fec9be13992cc9c38f205944c8d5bdf90f0c99a5b5850a61bc70",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3effc426ba46fec9be13992cc9c38f205944c8d5bdf90f0c99a5b5850a61bc70]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e207f8118db259f9db16005375270d2a382926e2e15cdb64640ce48c4d8ffd4fee9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7f8118db259f9db16005375270d2a382926e2e15cdb64640ce48c4d8ffd4fee9"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "27eae4cb897e9dcf6c2f6bc50bd547d0a98109a4ffccc38dd5c99ddd21306462",
      "value": 1100000,
      "index": 5,
      "spendingProof": null,
      "outputBlockId": "684b81d8d24dac57cc8fe976264905600d408bffe84073db7ad359917ce979cf",
      "outputTransactionId": "52053f8c750d23ab6979e0e09111efc741c1e5766237a2dce447b66078a29a63",
      "outputIndex": 1,
      "outputGlobalIndex": 36783587,
      "outputCreatedAt": 1196496,
      "outputSettledAt": 1196498,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012084598de02112b1879284c203f98ecae2cbe90b6afdfc37c8241e39d6b8e2a91d",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[84598de02112b1879284c203f98ecae2cbe90b6afdfc37c8241e39d6b8e2a91d]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e2091d7afa52e63ae1ba08a75a4a4fe84086c1979f088ffa9dd87245457ef89b05a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "91d7afa52e63ae1ba08a75a4a4fe84086c1979f088ffa9dd87245457ef89b05a"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "77868bcdf7e328642d2c66953660dea4447497ca8d9f0ba3513cd8e66495c943",
      "value": 2000000,
      "index": 6,
      "spendingProof": null,
      "outputBlockId": "684b81d8d24dac57cc8fe976264905600d408bffe84073db7ad359917ce979cf",
      "outputTransactionId": "7a173096c6ec40bca5e9dc91b401dcac27eb267384a2eefe347ea6f24ec8bf42",
      "outputIndex": 1,
      "outputGlobalIndex": 36783592,
      "outputCreatedAt": 1196496,
      "outputSettledAt": 1196498,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120c69d97f4fdacf77b6719e364a654d2f5c9ea2a26ede80c81880fb679bc154cc2",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[c69d97f4fdacf77b6719e364a654d2f5c9ea2a26ede80c81880fb679bc154cc2]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20bb9b3aec4f65c1f8b48a5c6d6635c9111116d23c9351af268f18e4221fc153a2",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bb9b3aec4f65c1f8b48a5c6d6635c9111116d23c9351af268f18e4221fc153a2"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "4d941745c11832188fd1a1ea4879ffd1f1894cfb18c32f4d689c6bf0987b1481",
      "value": 2000000,
      "index": 7,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "602fa7da5aee22408b3e243dadc44e427fbd182144ce20ac1cc0aee104944c86",
      "outputIndex": 1,
      "outputGlobalIndex": 36783666,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120f51098c81ee79c94788786861e7758261862bc6d8e0177440134b602a87de9cd",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[f51098c81ee79c94788786861e7758261862bc6d8e0177440134b602a87de9cd]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e202174b7aad21e1a88534926f31f6510baca2ece4a6458d0be66b7f20032f65be5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2174b7aad21e1a88534926f31f6510baca2ece4a6458d0be66b7f20032f65be5"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "ded87d85fd1bed5d6e98fc7ebcb2364f473e05afd536bb229ad874ac95bf4457",
      "value": 2000000,
      "index": 8,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "8f84d9f3e20b2c9906575ac0dd5171701c8bc36b952180d041bd224306481b1a",
      "outputIndex": 1,
      "outputGlobalIndex": 36783671,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012041788509b744735a550b56a2c9edd1d90a79225aa054742b6355f8291c1ac1c7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[41788509b744735a550b56a2c9edd1d90a79225aa054742b6355f8291c1ac1c7]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20e58f69425a20bade3a8e2124809bdb4c65b4d65ff4622447945ae43b00a957fb",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e58f69425a20bade3a8e2124809bdb4c65b4d65ff4622447945ae43b00a957fb"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "157bb6f4250e3f622b8dfe9b339659fc23327290fea86b992a6833d5143fd718",
      "value": 2000000,
      "index": 9,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "04a089e064f51586a53df2e4a7d2f75d6475e298f4106117dc30b79a1e98f842",
      "outputIndex": 1,
      "outputGlobalIndex": 36783676,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01202c1f4ecd011968d7faacec7be81ae207ef05b036c0172539c5f3dba43d10b05e",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[2c1f4ecd011968d7faacec7be81ae207ef05b036c0172539c5f3dba43d10b05e]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20a7396ccf35a21e79f2c5f935006ad23bc808440098321b3db622da46f5fdcd2f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a7396ccf35a21e79f2c5f935006ad23bc808440098321b3db622da46f5fdcd2f"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "d8665221bd052700b42a4dde1141f86bff7d9c7e2e7489363304e981ed18335e",
      "value": 2000000,
      "index": 10,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "0b08f131f6c3f546f4449e01a9c99c691e4496f68dfbc476196e7370a0c5f8a8",
      "outputIndex": 1,
      "outputGlobalIndex": 36783681,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120d143e889d67a6cffe25c9e75919525660473c5946cb08429fb5c2b938ffcbca8",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[d143e889d67a6cffe25c9e75919525660473c5946cb08429fb5c2b938ffcbca8]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e2023723503792920d9615664c54f5c2230c525b25804668e612e26a76ddf166c73",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "23723503792920d9615664c54f5c2230c525b25804668e612e26a76ddf166c73"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "7034ae9c7cd701cb26affca41a42613e39738ac6e8b3fee7c939acfed540d785",
      "value": 2000000,
      "index": 11,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "11d26e23344cc187dafbbe2019c215bc43d88bda517f55e73d9ca8df4b73cd4b",
      "outputIndex": 1,
      "outputGlobalIndex": 36783686,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120e879240bfdf47b115a51eb5a0bd3411a68ab794e40ced75eb90729a13c769f72",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[e879240bfdf47b115a51eb5a0bd3411a68ab794e40ced75eb90729a13c769f72]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e2068e03fac86819778063307780cc6d7ef20e9cfb292550741325daa7ddbf961df",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "68e03fac86819778063307780cc6d7ef20e9cfb292550741325daa7ddbf961df"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "7638ce472aaac5dbdbfa71e061d2f418230acb3656b6aaf88aa4baa270b69c40",
      "value": 2000000,
      "index": 12,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "167bb4597eea4ff265ee39646519f931ec1c23c21f76a5806be3b1f05720f350",
      "outputIndex": 1,
      "outputGlobalIndex": 36783691,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120fd0595d39a98f632dcb5db279ce545bab3e24eea1dce02e507739aeb7eb767eb",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[fd0595d39a98f632dcb5db279ce545bab3e24eea1dce02e507739aeb7eb767eb]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e205f185a70cf65943185bd531d9c3ffac0e546602ec2391af990d5f1f7fb713663",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5f185a70cf65943185bd531d9c3ffac0e546602ec2391af990d5f1f7fb713663"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "0d2c4c0b86e5dc62fb85c3ee6f37f4739f1ae71979860ebf54ede0d893cbd0f3",
      "value": 2000000,
      "index": 13,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "2655405863c4450a77346471b5c27a47e061f8b7c4575b09bb4a90dc0ce9eb46",
      "outputIndex": 1,
      "outputGlobalIndex": 36783696,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120952bf9e7cfd3190be16d40a24e60441960f1b1b826ba7589516db0d3f8957161",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[952bf9e7cfd3190be16d40a24e60441960f1b1b826ba7589516db0d3f8957161]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20f8615aef35f0e80c95e0630685dec8855da7dcdbb811a48682a83e03cc6c8d97",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f8615aef35f0e80c95e0630685dec8855da7dcdbb811a48682a83e03cc6c8d97"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "4d45f23e3136c662993b3a017e423a5ce9665fffbc6a750e817d2a9731442735",
      "value": 2000000,
      "index": 14,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "3e6c3c1e44964ddf221790481f52c804866c536be2a4fcb7c5652bd17ac1ff93",
      "outputIndex": 1,
      "outputGlobalIndex": 36783701,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120b40729cd9e076dfc4a2b2dcd822560025351085fe2b79a18abb1373b89a780e9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b40729cd9e076dfc4a2b2dcd822560025351085fe2b79a18abb1373b89a780e9]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e200d8e56f384bc3bebb9ac081114c81c226c0e825a934e583af00cf4dde68615f9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0d8e56f384bc3bebb9ac081114c81c226c0e825a934e583af00cf4dde68615f9"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "e1c4a5ded8625e9e7a363e6b57d71da44515e5ef83995ef577884e7802bb284d",
      "value": 1100000,
      "index": 15,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "4222fea2aed318be62f7b6fde30e6f9f2598839477afb83bb47d10d55f0ef64e",
      "outputIndex": 1,
      "outputGlobalIndex": 36783706,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120656708fdd4aefe28b7e87841d4a5f20334d28114a384aa1acc065cda060ba726",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[656708fdd4aefe28b7e87841d4a5f20334d28114a384aa1acc065cda060ba726]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20401ef1709448c2a3a8384a406d38babaf222163dc548ad23d68f4df74e2def32",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "401ef1709448c2a3a8384a406d38babaf222163dc548ad23d68f4df74e2def32"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "05c9ec88b99edd77a1236cb1c48ec77fd1c70d1420644009a96fad5a627ee76c",
      "value": 2000000,
      "index": 16,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "4bf2bff779004d141eb9704e8a5588833b7636785cbb92ff693f00c5d407ab4c",
      "outputIndex": 1,
      "outputGlobalIndex": 36783711,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01205818eb5d911ecd2b9f09a680e2b84bcaa281f624fb67c3e9b97d7cb01fc71da4",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[5818eb5d911ecd2b9f09a680e2b84bcaa281f624fb67c3e9b97d7cb01fc71da4]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20c5829a8870c4b9ffbbf226af024064b005c9fbbcfc39279772ad9b44dad22aac",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c5829a8870c4b9ffbbf226af024064b005c9fbbcfc39279772ad9b44dad22aac"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "0328b63b3dfd3e514b72b825817013eafaf7fceff22e91cbf35350f5136e2c5f",
      "value": 2000000,
      "index": 17,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "4f3ce7eff3da097cf69d915c025ce0317ee5e5ede3ea443f8f42ea847850750c",
      "outputIndex": 1,
      "outputGlobalIndex": 36783716,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012064579f3015feb870475d0d057fc431f8b037a19091e12cad0d2f0dd8229cffec",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[64579f3015feb870475d0d057fc431f8b037a19091e12cad0d2f0dd8229cffec]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20b7dd17f3027239d058910bf5f739c197a7e95ed4fe4ea88f485fa65f87e1bf2e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b7dd17f3027239d058910bf5f739c197a7e95ed4fe4ea88f485fa65f87e1bf2e"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "b39ec2e5619ae3d79098931fbc6751ad5b9fd0a8f29d246b9b0ef8fa9d5c73a7",
      "value": 2000000,
      "index": 18,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "55ae838b6738d233c457655d20c479a2321a34e453833cc0d51d760a0a0c0d0e",
      "outputIndex": 1,
      "outputGlobalIndex": 36783721,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01209c29664c8f13f89554c6392e7ff2ffb0e8c503ef6b5b8dba4f2e52f61b99a154",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9c29664c8f13f89554c6392e7ff2ffb0e8c503ef6b5b8dba4f2e52f61b99a154]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e2066227f0274a0b66d3d75505dd1251ce55a281bfd01b4489c3f7f3184327387e9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "66227f0274a0b66d3d75505dd1251ce55a281bfd01b4489c3f7f3184327387e9"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "58c2808ab26aaa1cc3ce307e4b600617b6894e1ffe506db7304877e3f618c245",
      "value": 2000000,
      "index": 19,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "56add4927d989017156f2493ed2f5eef2fb01f710b1fd1ba97d75ef3b769b5cd",
      "outputIndex": 1,
      "outputGlobalIndex": 36783726,
      "outputCreatedAt": 1196497,
      "outputSettledAt": 1196500,
      "ergoTree": "101f04000e209067f5bd556c1592dd4a026cd55099844ddbe9726075019bdaa556305ae7384d0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120f2ae66fd7544496701d7f29f66b614bc93406aa25619ce253a91c1c40ccde958",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[f2ae66fd7544496701d7f29f66b614bc93406aa25619ce253a91c1c40ccde958]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20319374b7ede6c9497fdb1ecbc379292ce524db8fed058fceb3ac59c582da1dd4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "319374b7ede6c9497fdb1ecbc379292ce524db8fed058fceb3ac59c582da1dd4"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "a92b4ce94e041096717865c7f61d1e4c954e0801da10efb6a653ffe34d65a85d",
      "value": 2000000,
      "index": 20,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "57bb1f05eeb9796d5460726478eba4714ee4d51e74e0eb498f401c5ddfb1216f",
      "outputIndex": 1,
      "outputGlobalIndex": 36783731,
      "outputCreatedAt": 1196497,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120e5b8a00cce25bcece9f11f5c6354f4cb6172bd009556069c1f19cfa0c73dae8c",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[e5b8a00cce25bcece9f11f5c6354f4cb6172bd009556069c1f19cfa0c73dae8c]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20f3b2c34309ba3e2f44a8e1cd4595718cbae66865e27aa1d99de532eded107032",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f3b2c34309ba3e2f44a8e1cd4595718cbae66865e27aa1d99de532eded107032"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "3ec79ff0c6b2d51595ac0b7c4635f4d9b80cd6e8248588fbed93d712483f384a",
      "value": 2000000,
      "index": 21,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "5ff30579c519f54fa3cba8448fc2c2b521a530d451332b550cb0b1db0cc14f4f",
      "outputIndex": 1,
      "outputGlobalIndex": 36783736,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "101f04000e209067f5bd556c1592dd4a026cd55099844ddbe9726075019bdaa556305ae7384d0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120a95e27d5890c5af17a62fed098fbd41a372fa46db9e0f7521dee42bc9cb13936",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[a95e27d5890c5af17a62fed098fbd41a372fa46db9e0f7521dee42bc9cb13936]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e200720f59550925e1dab11c81276a6badfb454645d3eb5c0b4f624d95efc9f0b4b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0720f59550925e1dab11c81276a6badfb454645d3eb5c0b4f624d95efc9f0b4b"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "08a7f16719599cb0264ea8ab8c4f7ca0b17f250a8de9ac7fe5a62f77f31658d4",
      "value": 2000000,
      "index": 22,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "6263780244d57e03c6f0d0562a2608aa18f93037872aba68a79c6d17c9055f79",
      "outputIndex": 1,
      "outputGlobalIndex": 36783741,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120745d0ddfb294d7dc9812b3594d4d03ed1cc0ad824f7c73b91eb635c731c75478",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[745d0ddfb294d7dc9812b3594d4d03ed1cc0ad824f7c73b91eb635c731c75478]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20c5d8b7f7c60c51291a2f15c61ceb2c274796f2a371a483f4fbe695fb39397461",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c5d8b7f7c60c51291a2f15c61ceb2c274796f2a371a483f4fbe695fb39397461"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "2166f4248dbc04e93f8ab86a80f979dc0d0efe9d7177c7a85ba21c9284d0605e",
      "value": 2000000,
      "index": 23,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "6f656aa1062e42a4f11226bbfaae56f3e16294f32ec3178ad98b92413349cab0",
      "outputIndex": 1,
      "outputGlobalIndex": 36783746,
      "outputCreatedAt": 1196497,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120d2d5b1d12dc6f06406dd6ed6a196447aa9414fca80bfb89009b52c190ff96e22",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[d2d5b1d12dc6f06406dd6ed6a196447aa9414fca80bfb89009b52c190ff96e22]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20d07052a13daf00f608b2fc31d93d9454b6b6695f3d0b163832ecc4f7f7d8db8a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d07052a13daf00f608b2fc31d93d9454b6b6695f3d0b163832ecc4f7f7d8db8a"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "8f0cf998a574e80d0c7554b839840004278c238f16c3464ad3cec629f95fd519",
      "value": 2000000,
      "index": 24,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "70fe61a0ed2fbe01b1509fb3e69a2b4aff02b39b7b5bb7ad3302d2b36fd44155",
      "outputIndex": 1,
      "outputGlobalIndex": 36783751,
      "outputCreatedAt": 1196497,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120f1524b455e77a7c820e875c2dba6d33c31d36841483d431c52f1060af95e6c94",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[f1524b455e77a7c820e875c2dba6d33c31d36841483d431c52f1060af95e6c94]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20699f996c4dfaceb98094e5882d1793fd40d2d26676925a0d2054f1dc9f5ac54d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "699f996c4dfaceb98094e5882d1793fd40d2d26676925a0d2054f1dc9f5ac54d"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "230569c4d1ff33e1e4846f2e8b27e8b3a56565fd3786bb6f53e0edda5fc9f115",
      "value": 2000000,
      "index": 25,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "7496c74c2f8fd153625214dfffb26c808459fb38d103cb50137dab8a18262efe",
      "outputIndex": 1,
      "outputGlobalIndex": 36783756,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120aced39348632357775564aabf3d78d6248b05c70259f7e9133a0c41af26d0eeb",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[aced39348632357775564aabf3d78d6248b05c70259f7e9133a0c41af26d0eeb]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e204e3e24a58ef2b8d38a9249a06d728c783a945413e8e5ce9094396f9b02fa985c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4e3e24a58ef2b8d38a9249a06d728c783a945413e8e5ce9094396f9b02fa985c"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "a4ca568c1f4c36e9b534779a5b4c39bafea53ef1e285e2518c29102a180d6460",
      "value": 2000000,
      "index": 26,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "856feabf92ef9771387338f53922b5722f1b049e37ffea49ec5c3cf05f672c6d",
      "outputIndex": 1,
      "outputGlobalIndex": 36783761,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01207b61f2e442e19f328e38b404f10ad1f30e02bd4e2cebaf167967008468dd8407",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[7b61f2e442e19f328e38b404f10ad1f30e02bd4e2cebaf167967008468dd8407]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20418418cd2a140bd023f2b057cc8da5577a5799fc38a53b8c7b5378c527de0524",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "418418cd2a140bd023f2b057cc8da5577a5799fc38a53b8c7b5378c527de0524"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "6d75816f59842be3dd7207785ecca25f2c4daf3227875c2140ce7447bbdd360d",
      "value": 2000000,
      "index": 27,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "8a3fc8b28cec7626e285c83ecbc3fea18d6de63edc7dd9c212ed23bb4e059dff",
      "outputIndex": 1,
      "outputGlobalIndex": 36783766,
      "outputCreatedAt": 1196497,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120bf34ef36c34366bfe9076573c94af5434d416318ebaba8a0c623b28cbd921c68",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[bf34ef36c34366bfe9076573c94af5434d416318ebaba8a0c623b28cbd921c68]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e2014148489589585699338a0864fe23008d4447774befcc6049a9a7a106f40a7f1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "14148489589585699338a0864fe23008d4447774befcc6049a9a7a106f40a7f1"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "f272dae25682808deb6461fcd8c3a04607cf667b407b15b39977453a8bb22fdb",
      "value": 2000000,
      "index": 28,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "8bbb00dfe9255d4b4d55e1964e2a882a7c1ccd8c7f8468061b49fde9303cbdb5",
      "outputIndex": 1,
      "outputGlobalIndex": 36783771,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120b1e61e565db9ed3d89b28c3c72a959aa8e6c1775e540e46e5bfdd6ed08e24ce2",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b1e61e565db9ed3d89b28c3c72a959aa8e6c1775e540e46e5bfdd6ed08e24ce2]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20e6069c7e1b66e07cbe8fa09ca44e33cdbc1fb9a971e178d3921a1bba94e5a03e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e6069c7e1b66e07cbe8fa09ca44e33cdbc1fb9a971e178d3921a1bba94e5a03e"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "3f09da40b7158259ba2563ed8ded1eb20adef9cebd912b3ba99b0aca83a55870",
      "value": 2000000,
      "index": 29,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "8c032900f4da4c560fca7d4a4d4fec061c4932e9d08961263e11c372f7458a76",
      "outputIndex": 1,
      "outputGlobalIndex": 36783776,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120270894e35f27daee400150c9c7996e64f615828c976a5906f9b1998a74907079",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[270894e35f27daee400150c9c7996e64f615828c976a5906f9b1998a74907079]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20ad35c3bca20e946ccee48b10e4bf96e14272f3bab42d07e665843d580260bc24",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ad35c3bca20e946ccee48b10e4bf96e14272f3bab42d07e665843d580260bc24"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "a629d347e87d627d0c384eb8ca0820f3af811fddc35d5061b04b1629e0e99a28",
      "value": 2000000,
      "index": 30,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "8e4ae830e117a35c2b65f8a594bce1730956d263c0c90388f874de28eb812bdc",
      "outputIndex": 1,
      "outputGlobalIndex": 36783781,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012046d6f4f080d5d185773a001d6ff796a3883b39725b777db9ecacedb626ecc445",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[46d6f4f080d5d185773a001d6ff796a3883b39725b777db9ecacedb626ecc445]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20587a45a88e138fa7968e66f7ceb1158a4d578ced3c549de8b46973aabd172683",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "587a45a88e138fa7968e66f7ceb1158a4d578ced3c549de8b46973aabd172683"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "03273a7c69f4e733af975f5d2fb21ad4d87f708b55e48297389ff4fa6e9705b0",
      "value": 2000000,
      "index": 31,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "8ec061f78b753cc38b8aeab9cabd86cafe3821118064d7060fa10a7a3dca51d5",
      "outputIndex": 1,
      "outputGlobalIndex": 36783786,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120d49434259fd765089b9095e9ea00d9746c9837e488842c9081441da4dcccb951",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[d49434259fd765089b9095e9ea00d9746c9837e488842c9081441da4dcccb951]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20b0642ad82d12cace424f49b035b5792708d45b5eee23c35a2ea57794d8cf15f3",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b0642ad82d12cace424f49b035b5792708d45b5eee23c35a2ea57794d8cf15f3"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "db78b14662f57b98624f27a64200fdce069496c6b88ce1f27e8906e4d54bbe1c",
      "value": 2000000,
      "index": 32,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "92a9e8774ed8fdec5747fd94bc29251cc14b4e02dec59bbc0552b549fc576b58",
      "outputIndex": 1,
      "outputGlobalIndex": 36783791,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120c6ccbad58cdcf2382e8154724b8991c54d498831188e3d47e628afbaa9897db5",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[c6ccbad58cdcf2382e8154724b8991c54d498831188e3d47e628afbaa9897db5]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e2009c6c93511885b6ef066d7bd36658f41bbf8e04b3f9f462fc96579ffdde16b08",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "09c6c93511885b6ef066d7bd36658f41bbf8e04b3f9f462fc96579ffdde16b08"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "9eed22e1278094f6aeef3c1d59687ab14ae72b3ec0575c77f74c2bc8d6cb2433",
      "value": 2000000,
      "index": 33,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "98967c6748b5fac50f3e6fe1d349fbdb0b13182a934e3f54c5664966c702361f",
      "outputIndex": 1,
      "outputGlobalIndex": 36783796,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120feef7062ca6d96af52a840af10890ab50620d925075dfb19397709bc4fb379c4",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[feef7062ca6d96af52a840af10890ab50620d925075dfb19397709bc4fb379c4]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e2098a132b0dea889b0560cc78b869034db060ff5555ce2b652b54ec50b1c0f1079",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "98a132b0dea889b0560cc78b869034db060ff5555ce2b652b54ec50b1c0f1079"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "5d004e1fc14e86082c06da2c5912b13ce66cc4788926545e4f76dfcf170fc6c0",
      "value": 2000000,
      "index": 34,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "a4a13984b275ec04cf21e949f92cfdfccd8b39dbb10d5716f5602e17d9fc874b",
      "outputIndex": 1,
      "outputGlobalIndex": 36783801,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01200fe391e2d5774484c6589aa375187a3b5ebe436f84b1151f6df9bf5e9adea76a",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0fe391e2d5774484c6589aa375187a3b5ebe436f84b1151f6df9bf5e9adea76a]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20580bcd67eebfd42d788566a1d46eed8b3d517623e7d8992d9177195c73c49cb0",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "580bcd67eebfd42d788566a1d46eed8b3d517623e7d8992d9177195c73c49cb0"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "c7150e7221147a0c48b201d33b6501db76cb89074041634dbd04e9b27a3459b5",
      "value": 2000000,
      "index": 35,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "aea41faa173c2769178ab8287cb1a206fc7428386fced6ffee38099fca208b89",
      "outputIndex": 1,
      "outputGlobalIndex": 36783806,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01207216aec2d6c40ac9fa38de85596cba5a2ef44b8970d0a0a44f69683eb912273d",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[7216aec2d6c40ac9fa38de85596cba5a2ef44b8970d0a0a44f69683eb912273d]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20b6b1265b2f5782a2e1fa054bd1eea8131d9dbde1335aa89ee7077d33b3501880",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b6b1265b2f5782a2e1fa054bd1eea8131d9dbde1335aa89ee7077d33b3501880"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "42ddc7e9558b45902a717303852f6efddedbd93c515b7e039f8784146e1c4a67",
      "value": 2000000,
      "index": 36,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "b0d76b2ce13df4e9bb7cbc0bf92179eead5a2a0b02e09fa71d7d542d237a4b9c",
      "outputIndex": 1,
      "outputGlobalIndex": 36783811,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01205e65be4e2e83b87364012b7747f7d0c06f60585cb3193a0de43807a6c4130fe9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[5e65be4e2e83b87364012b7747f7d0c06f60585cb3193a0de43807a6c4130fe9]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e200ed8d78d879e4bf1e4e34c1efe08423a540fdb1720f97ab5f423563697429136",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0ed8d78d879e4bf1e4e34c1efe08423a540fdb1720f97ab5f423563697429136"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "9f4f79a1789f1b9dd78177d707d82a0dccc4f022d4afe3b52bb795fab75c10f9",
      "value": 2000000,
      "index": 37,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "b4f0ef9efac39bd6b3a3ff6728d103a4750a6d0324bb81551bf92d8eeaaf7ddc",
      "outputIndex": 1,
      "outputGlobalIndex": 36783816,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120d60405821beec8f85d8ca5916c46f4f05a0ae48a03ec9830b0239c0cb3617bfb",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[d60405821beec8f85d8ca5916c46f4f05a0ae48a03ec9830b0239c0cb3617bfb]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20c6f61c825e7ea01efc8be497de51e9e25aaae1e98312a45a892d9c867d5e216b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c6f61c825e7ea01efc8be497de51e9e25aaae1e98312a45a892d9c867d5e216b"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "b13b82ca49688e455fecd33c27b5582b3962ce2d4cbf399a1413bd10143b1b15",
      "value": 2000000,
      "index": 38,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "b60bc78278758dc703d3c83f58265ebe8c5e67437da0b16ffaf54388d3a33419",
      "outputIndex": 1,
      "outputGlobalIndex": 36783821,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012052b8e50ab08a3d13701fcfec128ed2acff11dfb17c8c169ba6c87b5b016d5c43",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[52b8e50ab08a3d13701fcfec128ed2acff11dfb17c8c169ba6c87b5b016d5c43]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20352996736e9f8a7c9c3196f92bc4bd8b42af19839c0f78fab5c2547095c3510f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "352996736e9f8a7c9c3196f92bc4bd8b42af19839c0f78fab5c2547095c3510f"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "ed83a3180de0561d9c804625419f8b36520a317f0334a867f22f3ebf067d3518",
      "value": 2000000,
      "index": 39,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "b929f1e61d28c309943f306bf9da84760bcd117013567598a1c5e920bb2719a6",
      "outputIndex": 1,
      "outputGlobalIndex": 36783826,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "101f04000e209067f5bd556c1592dd4a026cd55099844ddbe9726075019bdaa556305ae7384d0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01207311710e4017f7deed3e33ffcd9c1ded5279a0ba8256f52133c2c8648a4cddf1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[7311710e4017f7deed3e33ffcd9c1ded5279a0ba8256f52133c2c8648a4cddf1]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e204cde776ebb4f0879fa0d812c3f002937f2c67e413bac12f34d0c620594851767",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4cde776ebb4f0879fa0d812c3f002937f2c67e413bac12f34d0c620594851767"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "e635ee9440f371970b5c6ef0652c3aac019318f78ce453e150c1d3c882b2dba5",
      "value": 2000000,
      "index": 40,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "c45702b367b485d3564e8260adf65ac207225e54e9a9bbfe43951195a194efc4",
      "outputIndex": 1,
      "outputGlobalIndex": 36783831,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120f2fb51c7bacdd5e08a2d905b1238adf0a669e7c214570880b0f0bf4b0672acba",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[f2fb51c7bacdd5e08a2d905b1238adf0a669e7c214570880b0f0bf4b0672acba]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20c1fab4a7ac6b368d0a60e88bfa3224cef7f5f6d0010ce2b6f62c6ef4586d3f60",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c1fab4a7ac6b368d0a60e88bfa3224cef7f5f6d0010ce2b6f62c6ef4586d3f60"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "da39fb998f0b54f0fa4afffef3692174522f34efd73694cea65233a67ff63980",
      "value": 2000000,
      "index": 41,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "c9769f558ba26f5f8f6b78cb25f4992fda39fb311b64cacaf23cbf3702c04023",
      "outputIndex": 1,
      "outputGlobalIndex": 36783836,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120903329af618fda088fcd150398dc1c094e1c515ad0a3cb5edcc338420ee8fab2",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[903329af618fda088fcd150398dc1c094e1c515ad0a3cb5edcc338420ee8fab2]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e206e70815ad7f6b1904de94c8d587b542a2b7f6d30e8d9511c35c6520ff041ac4c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6e70815ad7f6b1904de94c8d587b542a2b7f6d30e8d9511c35c6520ff041ac4c"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "648c9e2ac60ce52a048535af09f2cb17704ab7de3ecacddcfae52ed89c9bd169",
      "value": 2000000,
      "index": 42,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "cc42d37b7cbfb829747c71ffd25498ce489f6de801d4d52ef5c931c700187958",
      "outputIndex": 1,
      "outputGlobalIndex": 36783841,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120ac91a8dc441f665f6f592754f9776d3716a300a51b8ef8cc07b5ebf3249b87aa",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[ac91a8dc441f665f6f592754f9776d3716a300a51b8ef8cc07b5ebf3249b87aa]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e203e41c69e6aba5ee0fc9fea92cdbaa801b4ae2773c02afa3df8652830410647b4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "3e41c69e6aba5ee0fc9fea92cdbaa801b4ae2773c02afa3df8652830410647b4"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "50639ceb5366b495e52b69aaa8f7aa6eebdfb494b75c7fbba2967aecd703d89f",
      "value": 2000000,
      "index": 43,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "cf434fc7c6a1b895f2b196d8090bb5b0aed93fceb10a4b1b8acc63c010a4df52",
      "outputIndex": 1,
      "outputGlobalIndex": 36783846,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120edb54bd783ba8df4e75c707bcb24192129ede7adad60b1d53c3307bb61641106",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[edb54bd783ba8df4e75c707bcb24192129ede7adad60b1d53c3307bb61641106]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20b11c85eb16e937c7a9ddb7ce814bc6302cd4c25382976918907fa3d5fcc89147",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b11c85eb16e937c7a9ddb7ce814bc6302cd4c25382976918907fa3d5fcc89147"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "a3a7b4755186b4668295f92766fd3f59d32b0eb832f5b7dd938bded6a5b6dfd4",
      "value": 2000000,
      "index": 44,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "d180679eefc46e9649689fc2079932ee04316d3f53bb42cf7d15626c254d0457",
      "outputIndex": 1,
      "outputGlobalIndex": 36783851,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120520399bc0486111aabbae6d3163aafd0d8aabed990db0255b09ae911cafb975a",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[520399bc0486111aabbae6d3163aafd0d8aabed990db0255b09ae911cafb975a]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20278e09dd0af9a0d9b2f373a046f98df5b5f14eca5ac2e4d6ae3039ad88a56355",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "278e09dd0af9a0d9b2f373a046f98df5b5f14eca5ac2e4d6ae3039ad88a56355"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "26959111af91efcb19c1ba20be38ea83a95a27222465f6ae2facb3017187dba4",
      "value": 2000000,
      "index": 45,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "d574243a32329affb7db16d5729075fc3a7fed9bd2d7505e8d548c3cad60b99b",
      "outputIndex": 1,
      "outputGlobalIndex": 36783856,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120f02db07c654b443eea4b8773fd47f786b95196c4afc1fb46562606945ba490e9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[f02db07c654b443eea4b8773fd47f786b95196c4afc1fb46562606945ba490e9]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e206be28673e67ece664933625288ad532d2fc0e5dfe8a803f21eede714bf82292a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6be28673e67ece664933625288ad532d2fc0e5dfe8a803f21eede714bf82292a"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "7117e404554c58935136cfed4ad9a556fd07660907a6a389d64f9e24cfc427bc",
      "value": 2000000,
      "index": 46,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "d7500d125976890b99e835986c1953cbde85bfef5c9dc8bbc4f5a37feccc1a24",
      "outputIndex": 1,
      "outputGlobalIndex": 36783861,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120778c65f5171c5690990eb7dd08f210509c39d84a6aabc50afa8988a746e520ba",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[778c65f5171c5690990eb7dd08f210509c39d84a6aabc50afa8988a746e520ba]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e206442a25040c393e90ef329ce7d4dbbf85d07398125cf41c8d2b5f2b9b565a067",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6442a25040c393e90ef329ce7d4dbbf85d07398125cf41c8d2b5f2b9b565a067"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "e5425c52adff9ea26b1338968c0378e878d38a5ac03685afd00204b541401659",
      "value": 2000000,
      "index": 47,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "d7c8c66b2f66a0b7bbfcbbd82611e75b465c07c3f8918670ef559ea7c8412a3d",
      "outputIndex": 1,
      "outputGlobalIndex": 36783866,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120a059ddc0320c39de18721444a74be4acf66f6fddbfd46f15d1113f2e18264dba",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[a059ddc0320c39de18721444a74be4acf66f6fddbfd46f15d1113f2e18264dba]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20af8cb94dc7a6954ea449689ba59a4c2f304ec075f400ff3799a77821ccbdb983",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "af8cb94dc7a6954ea449689ba59a4c2f304ec075f400ff3799a77821ccbdb983"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "e8727d10f2cd4de773649bcf5a70f2ec395136c2717242609f10a83388b052c5",
      "value": 2000000,
      "index": 48,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "d82e34cf21edcbb6c148e30250cb1264f9ac51bc51c18604414352825b6e8569",
      "outputIndex": 1,
      "outputGlobalIndex": 36783871,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01209bd34f9eb406a0142593f3606893ac671c37be0bdeb2d3f836f24854b8159608",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9bd34f9eb406a0142593f3606893ac671c37be0bdeb2d3f836f24854b8159608]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e2016903e826e94594bc7eef910df95da5e2b6ce3dc9516a69bfafe4923da727d86",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "16903e826e94594bc7eef910df95da5e2b6ce3dc9516a69bfafe4923da727d86"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "739043beeef4dab7b61e1787e0077677a42308643db74ff415cf7425759486ad",
      "value": 2000000,
      "index": 49,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "de1d964180a659ba20dd120e998b9b3b55d6c26dffd132cd4bb941e46acdf857",
      "outputIndex": 1,
      "outputGlobalIndex": 36783876,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120e5f4afae0ce544d3e1d705724bfa042d3b60db3c449ac84ce7d3be7a291fd90f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[e5f4afae0ce544d3e1d705724bfa042d3b60db3c449ac84ce7d3be7a291fd90f]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e206fa886465dd0b6c1475c8be4245325c4f27551cf954f53b6b7f51fb24491627c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6fa886465dd0b6c1475c8be4245325c4f27551cf954f53b6b7f51fb24491627c"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "5068ff3d9bd56eb924d72cac553fd46d670d629740483bbdc8a761c9f5d797db",
      "value": 2000000,
      "index": 50,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "de628a1bb6b7574136c49b69a4b7d2ec16bd2b3aec59bdb9758e28cee3a9d29a",
      "outputIndex": 1,
      "outputGlobalIndex": 36783881,
      "outputCreatedAt": 1196497,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01208606f31f2d44ae4ed590bc9de4ea5f0692c842c102da527d1d123b8fcd024c03",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[8606f31f2d44ae4ed590bc9de4ea5f0692c842c102da527d1d123b8fcd024c03]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20cee32af2978bf83c8bb4f41e2c76119093633fa1cf43a7282249a17e312d788f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "cee32af2978bf83c8bb4f41e2c76119093633fa1cf43a7282249a17e312d788f"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "104cacbdbe42aed4d6172851db485251f80b3a5e976ac33598b4898f14cc91cf",
      "value": 2000000,
      "index": 51,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "e1dba1180e4dbaa059c79d269cca679eb1f64752d84e5a79939828f1ec34b3e8",
      "outputIndex": 1,
      "outputGlobalIndex": 36783886,
      "outputCreatedAt": 1196497,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120f8985009d52e6d8d3ce951cb8ba79d74d5ef6c19753c63974bd61543f5e3923c",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[f8985009d52e6d8d3ce951cb8ba79d74d5ef6c19753c63974bd61543f5e3923c]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e206a231caabc844126b6aa0108fbf66cb55219e55cee69bd565e16b54e115a6bc3",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6a231caabc844126b6aa0108fbf66cb55219e55cee69bd565e16b54e115a6bc3"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "b6cf1a7f010760aaf0d9bfd3dd4e31fdfc718320ecc775e0a1b01757e625ffad",
      "value": 2000000,
      "index": 52,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "e2d1eb1d600c8fc5f40194422b63a7b364814395f8d80b13ee41bdea89415b85",
      "outputIndex": 1,
      "outputGlobalIndex": 36783891,
      "outputCreatedAt": 1196497,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120441f3a2b69b0dc7fd8a1b5b90dac5bea494319007155577880733b9660f55ac1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[441f3a2b69b0dc7fd8a1b5b90dac5bea494319007155577880733b9660f55ac1]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e209d0e6f89df649e57932f19a48e5b73e09205ece18a0abb02f55d8d2fb82ba956",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "9d0e6f89df649e57932f19a48e5b73e09205ece18a0abb02f55d8d2fb82ba956"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "5e24fd8c5b3eb4617c4a0b729dd52eb929c4d5ac549f87f65e37c367a33d46d4",
      "value": 2000000,
      "index": 53,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "ebff45c9a32b343c6f8b658c3bd72a4fd053aa17e2aa482d0814595d810dec6e",
      "outputIndex": 1,
      "outputGlobalIndex": 36783896,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01208ca71f357841d289246dcde321a162d76c01649b235a5f902617de6b027e3712",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[8ca71f357841d289246dcde321a162d76c01649b235a5f902617de6b027e3712]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e205515b1f5c7527a24ea68c2ed7f7f8268bcf75cb6a1dbf43bf56b8ed52bd82546",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5515b1f5c7527a24ea68c2ed7f7f8268bcf75cb6a1dbf43bf56b8ed52bd82546"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "5339364509bebedbefb4a09f338607308624e1360c8e44162456c8f262f2de15",
      "value": 2000000,
      "index": 54,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "ee1ead6a2744d6bc3e889896e58edb9e6293f0e8f9afaf3769683b62a8c18221",
      "outputIndex": 1,
      "outputGlobalIndex": 36783901,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120e7707b4ef4315172a6678d31aa6b91a118537a998972cc36739cc478a72421d9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[e7707b4ef4315172a6678d31aa6b91a118537a998972cc36739cc478a72421d9]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e201c0fff3531991024ba0860dc1765a46f160f4a18bf66764367cbf12ac16857b9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1c0fff3531991024ba0860dc1765a46f160f4a18bf66764367cbf12ac16857b9"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "edf7005d47653230cec65577a4ed63f0caf51afec054c9108c1c17335a24fb20",
      "value": 2000000,
      "index": 55,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "f7dc54dd5fc62848e23742658f8a0de1c637a2dfe202a826be88a1d2a6d1a6e3",
      "outputIndex": 1,
      "outputGlobalIndex": 36783906,
      "outputCreatedAt": 1196497,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012003310f1404169ec32948f0af18b057f54371f9982514ecc44043c137fa58c533",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[03310f1404169ec32948f0af18b057f54371f9982514ecc44043c137fa58c533]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e2053c7ef6a4bfcfb0f5ebeadeb55aba7ba66280e4865631155ef762acd41b9f955",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "53c7ef6a4bfcfb0f5ebeadeb55aba7ba66280e4865631155ef762acd41b9f955"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "ceca3fad8e92d924ec73a7e7727f9e9d9ffafe7bafafeb5a457f6059427117a3",
      "value": 2000000,
      "index": 56,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "fbc29c3b38b1f28011d6daecdbf848adff3272809863d943f449031d3f7ee9f9",
      "outputIndex": 1,
      "outputGlobalIndex": 36783911,
      "outputCreatedAt": 1196497,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120ae3a1c919c4b5e3b831a62396441882b7cecc440b9666a273dbd6abd0751a152",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[ae3a1c919c4b5e3b831a62396441882b7cecc440b9666a273dbd6abd0751a152]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20fa4f71c93c265f41b824c86a1da8fca3d75760b4d5de741fe927baa956acb67f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "fa4f71c93c265f41b824c86a1da8fca3d75760b4d5de741fe927baa956acb67f"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "2f2b44f9c53f6d0e07f1e791228c71b3c0d9a9bada461d992b0eab9271aaecd5",
      "value": 2000000,
      "index": 57,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "412a9ab4ada7bff78a950d776662b96d6a0ca95afb24e53a64065f974e6d1586",
      "outputIndex": 1,
      "outputGlobalIndex": 36783916,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120e42265bf88468ac9d96bc1e01790f11df8b6c3be3a5655df7d6f8197ef070794",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[e42265bf88468ac9d96bc1e01790f11df8b6c3be3a5655df7d6f8197ef070794]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e206c3131202920ddbe38c2edf31c190b8da78cbd5f3c2ecceb5c0ba5b1924f58c4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6c3131202920ddbe38c2edf31c190b8da78cbd5f3c2ecceb5c0ba5b1924f58c4"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "4a8b53e803a84ce2c8216d2596e5ce0497ca668d3415c074516fe67e01f60c4d",
      "value": 2000000,
      "index": 58,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "480db1e0fa14ca938f4dd27ba72220b5d9017fbccf2d7a3457326a8ac148e0e5",
      "outputIndex": 1,
      "outputGlobalIndex": 36783921,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01203944ab8c5682b2871fb73e57958f9c720826662fa86848353f46ac4ffcd31deb",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3944ab8c5682b2871fb73e57958f9c720826662fa86848353f46ac4ffcd31deb]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20db4416de9b23d8292c446b2bf7b0293fc520a6c3849b35b0cef02e695abe0cca",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "db4416de9b23d8292c446b2bf7b0293fc520a6c3849b35b0cef02e695abe0cca"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "25778230b80fa2b2f4ec25ff912b3edf3564641a7ab24608093787a26764cfe2",
      "value": 2000000,
      "index": 59,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "71eef0c24d593207a69c782c4350fecd9b60484bb668ace1865ea64512636fde",
      "outputIndex": 1,
      "outputGlobalIndex": 36783926,
      "outputCreatedAt": 1196497,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01209db24719e5c22c9c341c6b270284fe39927cf9045df2b70eae655f8741ed6766",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9db24719e5c22c9c341c6b270284fe39927cf9045df2b70eae655f8741ed6766]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20d190c2fb55d9c3e6c6f51ee63677f79f61691e5e7f225d83b2715fd7c94d21d2",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d190c2fb55d9c3e6c6f51ee63677f79f61691e5e7f225d83b2715fd7c94d21d2"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "8d069cedaa2bd63283c7f764cb4e818096237e155c4f9ec48318aa39700893fe",
      "value": 2000000,
      "index": 60,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "78356801eec4bf09b445f83309437a90dd67fcbea2b482e8cf7404df8c6d579f",
      "outputIndex": 1,
      "outputGlobalIndex": 36783931,
      "outputCreatedAt": 1196497,
      "outputSettledAt": 1196500,
      "ergoTree": "101f04000e209067f5bd556c1592dd4a026cd55099844ddbe9726075019bdaa556305ae7384d0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01203d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20e2cd124faf9531c1bf69265186b8736f971a6e7b285903a7ff39f51840ebf934",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e2cd124faf9531c1bf69265186b8736f971a6e7b285903a7ff39f51840ebf934"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "a55d02b2b2d03136e66d99accf7a6177c67904cc02421b7e314e000086f65355",
      "value": 2000000,
      "index": 61,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "bb21c48b76feb77a7931afda941aff79433f17cbcf04b42db31b362d15f4a8f3",
      "outputIndex": 1,
      "outputGlobalIndex": 36783936,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01204acca9325ddbad467d9768116258b52968a0b9974c2549109f94fad7947b712f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[4acca9325ddbad467d9768116258b52968a0b9974c2549109f94fad7947b712f]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e2026ffa39ee3e81defbb624847909e10472fb9b8ffdcd8da8a21782e707ce77d33",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "26ffa39ee3e81defbb624847909e10472fb9b8ffdcd8da8a21782e707ce77d33"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "25f4dc7f97f98df60c0445ee26056de48f3bce1c7d7c8e2e071243fd160f6820",
      "value": 2000000,
      "index": 62,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "d239d5f1f71b7707758775a267d419a7b7415c08b19706f3fb34c72031015f8e",
      "outputIndex": 1,
      "outputGlobalIndex": 36783941,
      "outputCreatedAt": 1196497,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120fa93303bcf6cd09a90a81dc552db699424075ee615c15f3e058477ff9833f3e8",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[fa93303bcf6cd09a90a81dc552db699424075ee615c15f3e058477ff9833f3e8]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e20044641c42d3fd2e340f71af7d5bb640802d0cb6a7dfb9abcaf6f8d3a3698a537",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "044641c42d3fd2e340f71af7d5bb640802d0cb6a7dfb9abcaf6f8d3a3698a537"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "ade3c7be95a947d5955ffa8490c239ada05f5ff8b098637c4b69fe391b4aa27b",
      "value": 2000000,
      "index": 63,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "dd4e889da3ba0437c31e9a28ca113022161b9ce9f1d33291ddd5ff421627a6bc",
      "outputIndex": 1,
      "outputGlobalIndex": 36783946,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012053a12d63d8fd389a86a54575838cbc37af4a54813b35d7d036d653eca9a53323",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[53a12d63d8fd389a86a54575838cbc37af4a54813b35d7d036d653eca9a53323]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e2019cc7d5f3a979418e7d04781eee081ed2709362ae8b6e4ef7620b542774d34ad",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "19cc7d5f3a979418e7d04781eee081ed2709362ae8b6e4ef7620b542774d34ad"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "67e21433bac5af8728081248f36172cc1283d423f301015b46e20d59d7ef33aa",
      "value": 2000000,
      "index": 64,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "e2599c08a106defe8e945869fdf0f14ea56bc0dd41e6b14c2e7139ab7bb36650",
      "outputIndex": 1,
      "outputGlobalIndex": 36783951,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01205ce706d382cf0fb737c726b0970015bcf9e4ae76aadf12b4068ac3e5b6db8684",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[5ce706d382cf0fb737c726b0970015bcf9e4ae76aadf12b4068ac3e5b6db8684]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e203b857625d099f4e7544865aacc6fb0fab315156140d5f5e9d5f390f01d025471",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "3b857625d099f4e7544865aacc6fb0fab315156140d5f5e9d5f390f01d025471"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "2ee97411e26310376d566fe4b78d93659d2e99114cf0528b1fbf1450736a4d17",
      "value": 2000000,
      "index": 65,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "560d9ec12742622dbb7b161c8f02e685f38cab57e9d99b5e970109cc6cd89ba8",
      "outputIndex": 1,
      "outputGlobalIndex": 36783956,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012086e2e47f57623dc5eba650f130e0953baa6784ace4ac37c37d791639706bb14f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[86e2e47f57623dc5eba650f130e0953baa6784ace4ac37c37d791639706bb14f]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e2064c3ab5efdaf19be21482bec84dd9f601d3b491d4785795b5fef1e9ec10b705b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "64c3ab5efdaf19be21482bec84dd9f601d3b491d4785795b5fef1e9ec10b705b"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "fe8f09a2cb349b9ac57b36606bada214566420d54157ec5d70149d9d754426f3",
      "value": 3000000,
      "index": 66,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "4506c708590f76ba92b788c00e89b7d14acc9de22659039dc37864e158e731d1",
      "outputIndex": 1,
      "outputGlobalIndex": 36783961,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01209253a888fb7fb1f1e7fb16940aac8b793833d2d19ab2d982543f24a3b15a3d51",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9253a888fb7fb1f1e7fb16940aac8b793833d2d19ab2d982543f24a3b15a3d51]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e209aa50380b70ec7cf98b7d3aa3911a083721a0b63f2e4bcc0201be9f8d5a0672d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "9aa50380b70ec7cf98b7d3aa3911a083721a0b63f2e4bcc0201be9f8d5a0672d"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "647f60e3c25920a1f74883763591503f2e41315c8dfb9ba2dbd5c124dbe74232",
      "value": 2000000,
      "index": 67,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "427ab8c872a1d3094a4bdb45a8b1a2b49a2baa8e418d71a31e9b2b6f0ec1ac60",
      "outputIndex": 1,
      "outputGlobalIndex": 36783966,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012068cd1848a9933cc4eb36d09b6ba39812e8daaa2b20c196f1efa10b30b83a9ad3",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[68cd1848a9933cc4eb36d09b6ba39812e8daaa2b20c196f1efa10b30b83a9ad3]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e2003555bdf21bc7b3cf74d046ca118f41b8fb5873ad1f00d9a937919a72c58aead",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03555bdf21bc7b3cf74d046ca118f41b8fb5873ad1f00d9a937919a72c58aead"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "3fab3ab9e11ee0b8ad3046f5e1a7b5271caa0d18ad1258b65d9c64d467b09dd8",
      "value": 2000000,
      "index": 68,
      "spendingProof": null,
      "outputBlockId": "bbbaeca4e2d8d5cb0f21d32822e2303419438eb2566f0a8f95a6c577489c1634",
      "outputTransactionId": "e847fbdd47acdf93f3fefc221e472608fd4bc3c9e4d8cd634c47c1a314e31cc2",
      "outputIndex": 1,
      "outputGlobalIndex": 36783971,
      "outputCreatedAt": 1196498,
      "outputSettledAt": 1196500,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120477df4283fa7278e82de362e9e3067fef28a7959eb79291bf905077feb06e7cc",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[477df4283fa7278e82de362e9e3067fef28a7959eb79291bf905077feb06e7cc]"
        },
        "R5": {
          "serializedValue": "1a01209aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9aa50308b51cc179eb10643d359445a494b2bf3fda669f031567e9d5a1b18ae7]"
        },
        "R6": {
          "serializedValue": "0e205d697fefceed844a6ea93a45ba3f7d09c23b09d6b0bae2053d9c5bed900ccd0b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5d697fefceed844a6ea93a45ba3f7d09c23b09d6b0bae2053d9c5bed900ccd0b"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "fc80040eb198025b3c252775cfa0717206b11ee3cf2150e5a3e2308d2cb32fba",
      "value": 2000000,
      "index": 69,
      "spendingProof": "d478547a1e703bdd1ad1f41a9bac805957c97658e0df908a59c71303e25568945a07462002a9f391dee8e1eb4667c16fc4f50ada28849ae9",
      "outputBlockId": "ee3fe073871b2d360c28b1cc9a9b77ff957f2f0c926afa54d21fa2c577787ebf",
      "outputTransactionId": "a305ac89b57837181978d996e68d3c13ef60b4b3c2e1c3b549c5a4a75830a61a",
      "outputIndex": 3,
      "outputGlobalIndex": 36204963,
      "outputCreatedAt": 1180665,
      "outputSettledAt": 1180667,
      "ergoTree": "0008cd026df07e00e1e85ceb735dd948043a0e1273dbb12b74e418c8fa8d07732590205d",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6df07e,3641d0,...)))}",
      "address": "9fMUmccKVLi6nwV19eSVKaUeizL2f2LwZW5K6i8tRojJx9dfWmy",
      "assets": [
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 0,
          "amount": 2313,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "b57e5e2a1b9e8a922cb9ccb09e2b7ad3608d9fccaa34813d45b449b9f5e92888",
      "value": 2000000,
      "index": 70,
      "spendingProof": "d02d0ef2f91965a205923895b7fbe6184e42028c7f526169839d48cb59127c0daf0785e34581bdb0e48713decf51ab2319b00ccad3acf04f",
      "outputBlockId": "99fb976b9671b72d0c6b487a37236fb7950fb1003412d88586e550dbef69952c",
      "outputTransactionId": "9c95de3d26de2db8ea26373f088cbad0acd40e89db2e9ad4c7bfc6c2c136753b",
      "outputIndex": 1,
      "outputGlobalIndex": 36170655,
      "outputCreatedAt": 1179735,
      "outputSettledAt": 1179737,
      "ergoTree": "0008cd026df07e00e1e85ceb735dd948043a0e1273dbb12b74e418c8fa8d07732590205d",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6df07e,3641d0,...)))}",
      "address": "9fMUmccKVLi6nwV19eSVKaUeizL2f2LwZW5K6i8tRojJx9dfWmy",
      "assets": [
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 0,
          "amount": 1903,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "61a13282962b53c2aac6d2ee259f9416887d110f3e3ed09c9279f0c629e01ea3",
      "value": 2000000,
      "index": 0,
      "outputBlockId": "616a8ffa7887a8aeb211c7bb3f8817903cd3bf83649dd9caf3676b3db08ac2e5",
      "outputTransactionId": "43699ef923731ec987027e9e9e0756c903925cb9dde81489df5da4bb188b3c7f",
      "outputIndex": 0,
      "ergoTree": "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",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[63617264616e6f,c6ccbad58cdcf2382e8154724b8991c54d498831188e3d47e628afbaa9897db5,745d0ddfb294d7dc9812b3594d4d03ed1cc0ad824f7c73b91eb635c731c75478,3d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c,aced39348632357775564aabf3d78d6248b05c70259f7e9133a0c41af26d0eeb,9c29664c8f13f89554c6392e7ff2ffb0e8c503ef6b5b8dba4f2e52f61b99a154,4acca9325ddbad467d9768116258b52968a0b9974c2549109f94fad7947b712f,270894e35f27daee400150c9c7996e64f615828c976a5906f9b1998a74907079,52b8e50ab08a3d13701fcfec128ed2acff11dfb17c8c169ba6c87b5b016d5c43,3944ab8c5682b2871fb73e57958f9c720826662fa86848353f46ac4ffcd31deb,d60405821beec8f85d8ca5916c46f4f05a0ae48a03ec9830b0239c0cb3617bfb,952bf9e7cfd3190be16d40a24e60441960f1b1b826ba7589516db0d3f8957161,ae3a1c919c4b5e3b831a62396441882b7cecc440b9666a273dbd6abd0751a152,d143e889d67a6cffe25c9e75919525660473c5946cb08429fb5c2b938ffcbca8,87d76b69ef05f09b62ea12906c38c9106207ed86ff49e0a3ef4053faa1ce61d4,e42265bf88468ac9d96bc1e01790f11df8b6c3be3a5655df7d6f8197ef070794,b40729cd9e076dfc4a2b2dcd822560025351085fe2b79a18abb1373b89a780e9,86e2e47f57623dc5eba650f130e0953baa6784ace4ac37c37d791639706bb14f,03310f1404169ec32948f0af18b057f54371f9982514ecc44043c137fa58c533,64579f3015feb870475d0d057fc431f8b037a19091e12cad0d2f0dd8229cffec,0e748945c4de1860fe90ccf65e8883e35525fe2b7a8108c3d25c7d4cf7f92756,b1e61e565db9ed3d89b28c3c72a959aa8e6c1775e540e46e5bfdd6ed08e24ce2,feef7062ca6d96af52a840af10890ab50620d925075dfb19397709bc4fb379c4,f02db07c654b443eea4b8773fd47f786b95196c4afc1fb46562606945ba490e9,5818eb5d911ecd2b9f09a680e2b84bcaa281f624fb67c3e9b97d7cb01fc71da4,9e06c53dac95224036d941d176cc9893e7f7c0e8376ea1555d6a42f0bbe8c02c,3effc426ba46fec9be13992cc9c38f205944c8d5bdf90f0c99a5b5850a61bc70,2c1f4ecd011968d7faacec7be81ae207ef05b036c0172539c5f3dba43d10b05e,778c65f5171c5690990eb7dd08f210509c39d84a6aabc50afa8988a746e520ba,fd0595d39a98f632dcb5db279ce545bab3e24eea1dce02e507739aeb7eb767eb,8606f31f2d44ae4ed590bc9de4ea5f0692c842c102da527d1d123b8fcd024c03,243fdb81eeeebf81c67554062ba3b9cff03ba22e3ad85ab75c2930a948fa10bd,a95e27d5890c5af17a62fed098fbd41a372fa46db9e0f7521dee42bc9cb13936,441f3a2b69b0dc7fd8a1b5b90dac5bea494319007155577880733b9660f55ac1,d2d5b1d12dc6f06406dd6ed6a196447aa9414fca80bfb89009b52c190ff96e22,e5b8a00cce25bcece9f11f5c6354f4cb6172bd009556069c1f19cfa0c73dae8c,520399bc0486111aabbae6d3163aafd0d8aabed990db0255b09ae911cafb975a,7311710e4017f7deed3e33ffcd9c1ded5279a0ba8256f52133c2c8648a4cddf1,8ca71f357841d289246dcde321a162d76c01649b235a5f902617de6b027e3712,bf34ef36c34366bfe9076573c94af5434d416318ebaba8a0c623b28cbd921c68,656708fdd4aefe28b7e87841d4a5f20334d28114a384aa1acc065cda060ba726,f2fb51c7bacdd5e08a2d905b1238adf0a669e7c214570880b0f0bf4b0672acba,46d6f4f080d5d185773a001d6ff796a3883b39725b777db9ecacedb626ecc445,7b61f2e442e19f328e38b404f10ad1f30e02bd4e2cebaf167967008468dd8407,0fe391e2d5774484c6589aa375187a3b5ebe436f84b1151f6df9bf5e9adea76a,84598de02112b1879284c203f98ecae2cbe90b6afdfc37c8241e39d6b8e2a91d,903329af618fda088fcd150398dc1c094e1c515ad0a3cb5edcc338420ee8fab2,f2ae66fd7544496701d7f29f66b614bc93406aa25619ce253a91c1c40ccde958,f8985009d52e6d8d3ce951cb8ba79d74d5ef6c19753c63974bd61543f5e3923c,a059ddc0320c39de18721444a74be4acf66f6fddbfd46f15d1113f2e18264dba,9253a888fb7fb1f1e7fb16940aac8b793833d2d19ab2d982543f24a3b15a3d51,8e4e3b445ed86917bb4b72bf6b6a81b592169adae87e870a93340c1c29b92d3a,e5f4afae0ce544d3e1d705724bfa042d3b60db3c449ac84ce7d3be7a291fd90f,e66ddb385bafbb373bf4b9735b96b2c3e1ba3e654a8d1b91ccb4d1bc8edb6e1a,5ce706d382cf0fb737c726b0970015bcf9e4ae76aadf12b4068ac3e5b6db8684,41788509b744735a550b56a2c9edd1d90a79225aa054742b6355f8291c1ac1c7,e7707b4ef4315172a6678d31aa6b91a118537a998972cc36739cc478a72421d9,ac91a8dc441f665f6f592754f9776d3716a300a51b8ef8cc07b5ebf3249b87aa,477df4283fa7278e82de362e9e3067fef28a7959eb79291bf905077feb06e7cc,c69d97f4fdacf77b6719e364a654d2f5c9ea2a26ede80c81880fb679bc154cc2,edb54bd783ba8df4e75c707bcb24192129ede7adad60b1d53c3307bb61641106,68cd1848a9933cc4eb36d09b6ba39812e8daaa2b20c196f1efa10b30b83a9ad3,2b30e5582145f9bcedfa8a2aa86298ac8a5231ad8945254dfd615b56c93b7af5,53a12d63d8fd389a86a54575838cbc37af4a54813b35d7d036d653eca9a53323,5e65be4e2e83b87364012b7747f7d0c06f60585cb3193a0de43807a6c4130fe9,9bd34f9eb406a0142593f3606893ac671c37be0bdeb2d3f836f24854b8159608,9db24719e5c22c9c341c6b270284fe39927cf9045df2b70eae655f8741ed6766,2a7f8c59033f9773ef1593b126b71332a92f310fc900dd6b59b70ec963602be9,9008014c851d04af437550b9de80adc5a573fb3751c8c119a19626893ac3d951,fa93303bcf6cd09a90a81dc552db699424075ee615c15f3e058477ff9833f3e8,7eb47dc621d93d5c6d6cfdb9f5df96592a29b99eb6a04067b6c1144b47c31fdb,d49434259fd765089b9095e9ea00d9746c9837e488842c9081441da4dcccb951,7871f0a716ad6f258cee6029c106175fd736f87f5bdd374ec626189cc9a67d09,f1524b455e77a7c820e875c2dba6d33c31d36841483d431c52f1060af95e6c94,f51098c81ee79c94788786861e7758261862bc6d8e0177440134b602a87de9cd,7216aec2d6c40ac9fa38de85596cba5a2ef44b8970d0a0a44f69683eb912273d,9e5f8d2375530b619404eb50bf11dfef081570cd0356c452734d01a72897a0f4,e879240bfdf47b115a51eb5a0bd3411a68ab794e40ced75eb90729a13c769f72]"
        },
        "R5": {
          "serializedValue": "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",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,45082444,30000001,48000001,30000001,216000001,30000001,18000001,18090000,6034467,30002001,18000001,27000001,108000000,6000001,18000001,135001001,295010000,18000001,27000001,60001000,24001000,15000001,120000003,9000001,42000100,9000001,6000001,27002000,36000001,12002000,19255592,15001001,30001000,30001000,30001000,30000001,18000001,30000001,30001000,21000001,30000708,30001000,30000001,30000001,9000002,60008100,102000001,24000001,20861056,30000001,60001000,20000001,120019000,24001000,12000001,19807888,6000001,15020000,30000001,9006000,49122773,12180160,50313352,103090712,11435831,18099540,15001001,15000001,21000014,21000001,30000002,30000001,12200001,30000004,6001000,66001000,6001000]"
        },
        "R6": {
          "serializedValue": "1106809bee027802c8018080babbc82e808ece1c",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[3000000,60,1,100,800000000000,30000000]"
        },
        "R7": {
          "serializedValue": "045e",
          "sigmaType": "SInt",
          "renderedValue": "47"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "027846de6c0d64f40763480c1548b0af9bff3875e6ec2a77f3c70c5ff23cf8ac",
      "transactionId": "7d083d8676cd3322175031b3c2ad57c7a765f69b398df30eda9616c7788de6df",
      "blockId": "afc4c0438e62e106c9bb46714b609d2e9f444f8ffd1c68eb456fe428f0e3c79a",
      "value": 137200000,
      "index": 0,
      "globalIndex": 36784142,
      "creationHeight": 1196501,
      "settlementHeight": 1196503,
      "ergoTree": "100c0400040004000400040004000e20d3871cf05e62d0d003f3f2e9ec1e60c07f685ed413f24a41c7839d6ec29a6e30040204000e20cffae825313193178cfe8c528e521bc5c88f74a970ad1da6f25f12c728416a8304c0d1020e209efa44e79a21703197a2d888fc204cf6435711cdefcfdf5bcb8fb929e5091bbad805d601e4c6a7041ad602b17201d603b4a573007202d604c2b2a5730100d605cb7204d196830301937202b17203afdc0c1d7201017203d901063c0e63d801d6088c720602ededed9383010e8c720601e4c67208041a93c272087204938cb2db63087208730200018cb2db6308a773030001938cb2db63087208730400029d8cb2db6308a7730500027e72020595937205730696830201938cb2db6308b2a47307007308000173099299a3730a8cc7a70196830201aea4d901066393cbc27206730b937205e4c6a7060e",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: Coll(-45,-121,28,-16,94,98,-48,-48,3,-13,-14,-23,-20,30,96,-64,127,104,94,-44,19,-14,74,65,-57,-125,-99,110,-62,-102,110,48)\n7: 1\n8: 0\n9: Coll(-49,-6,-24,37,49,49,-109,23,-116,-2,-116,82,-114,82,27,-59,-56,-113,116,-87,112,-83,29,-90,-14,95,18,-57,40,65,106,-125)\n10: 21600\n11: Coll(-98,-6,68,-25,-102,33,112,49,-105,-94,-40,-120,-4,32,76,-10,67,87,17,-51,-17,-49,-33,91,-53,-113,-71,41,-27,9,27,-70)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Coll[Byte]]].get\n  val i2 = coll1.size\n  val coll3 = OUTPUTS.slice(placeholder[Int](0), i2)\n  val coll4 = OUTPUTS(placeholder[Int](1)).propositionBytes\n  val coll5 = blake2b256(coll4)\n  sigmaProp(allOf(Coll[Boolean](i2 == coll3.size, coll1.zip(coll3).forall({(tuple6: (Coll[Byte], Box)) =>\n            val box8 = tuple6._2\n            (((Coll[Coll[Byte]](tuple6._1) == box8.R4[Coll[Coll[Byte]]].get) && (box8.propositionBytes == coll4)) && (box8.tokens(placeholder[Int](2))._1 == SELF.tokens(placeholder[Int](3))._1)) && (box8.tokens(placeholder[Int](4))._2 == SELF.tokens(placeholder[Int](5))._2 / i2.toLong)\n          }), if (coll5 == placeholder[Coll[Byte]](6)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9), HEIGHT - placeholder[Int](10) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](11) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
      "address": "nzc6aD1QoVYS1tEcrd3mg9MUkBf9hbtJXzpqMG4LeoZ7jJ1UY6Y5v6cJnmaJRC2ZcR5N2UJZxsBkXQ5CvGadv3ty6aBLLhFBvKkyuvrDKvVNTJBTRuuo8t5nVPjeCzCowyLEJHefbBDVwGhKfFba3EmatvHwn7VumQwedAcWzMs8h3SiKr6BVi59Bb4z6rD2YMDgXAZW2xrA4FF7Xv4QWwyRJGuJHe6sJ42J9W2PK7iVV5qp5q4zJhFksCgfhkdFCgQYqfYsjqYY5rH16FyHmt6skZjqy5KCAJ2oLTPWp4yYJ4CNZ4NH962rg7rXYR3L9fNXt9T5ZsUrfnhM8zkhdF69UfgVnbJxWDWsoQfxTxHyETuo1MRLdpLZ7J6o3kmMAzxAPqeNFsYj7G4wN8VyLj1uEjLT4r1ukVTHxR5jaBenVsMWYgTXKqEPV9sSbfL9dpU",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 207000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[2b30e5582145f9bcedfa8a2aa86298ac8a5231ad8945254dfd615b56c93b7af5,0e748945c4de1860fe90ccf65e8883e35525fe2b7a8108c3d25c7d4cf7f92756,8e4e3b445ed86917bb4b72bf6b6a81b592169adae87e870a93340c1c29b92d3a,243fdb81eeeebf81c67554062ba3b9cff03ba22e3ad85ab75c2930a948fa10bd,3effc426ba46fec9be13992cc9c38f205944c8d5bdf90f0c99a5b5850a61bc70,84598de02112b1879284c203f98ecae2cbe90b6afdfc37c8241e39d6b8e2a91d,c69d97f4fdacf77b6719e364a654d2f5c9ea2a26ede80c81880fb679bc154cc2,f51098c81ee79c94788786861e7758261862bc6d8e0177440134b602a87de9cd,41788509b744735a550b56a2c9edd1d90a79225aa054742b6355f8291c1ac1c7,2c1f4ecd011968d7faacec7be81ae207ef05b036c0172539c5f3dba43d10b05e,d143e889d67a6cffe25c9e75919525660473c5946cb08429fb5c2b938ffcbca8,e879240bfdf47b115a51eb5a0bd3411a68ab794e40ced75eb90729a13c769f72,fd0595d39a98f632dcb5db279ce545bab3e24eea1dce02e507739aeb7eb767eb,952bf9e7cfd3190be16d40a24e60441960f1b1b826ba7589516db0d3f8957161,b40729cd9e076dfc4a2b2dcd822560025351085fe2b79a18abb1373b89a780e9,656708fdd4aefe28b7e87841d4a5f20334d28114a384aa1acc065cda060ba726,5818eb5d911ecd2b9f09a680e2b84bcaa281f624fb67c3e9b97d7cb01fc71da4,64579f3015feb870475d0d057fc431f8b037a19091e12cad0d2f0dd8229cffec,9c29664c8f13f89554c6392e7ff2ffb0e8c503ef6b5b8dba4f2e52f61b99a154,f2ae66fd7544496701d7f29f66b614bc93406aa25619ce253a91c1c40ccde958,e5b8a00cce25bcece9f11f5c6354f4cb6172bd009556069c1f19cfa0c73dae8c,a95e27d5890c5af17a62fed098fbd41a372fa46db9e0f7521dee42bc9cb13936,745d0ddfb294d7dc9812b3594d4d03ed1cc0ad824f7c73b91eb635c731c75478,d2d5b1d12dc6f06406dd6ed6a196447aa9414fca80bfb89009b52c190ff96e22,f1524b455e77a7c820e875c2dba6d33c31d36841483d431c52f1060af95e6c94,aced39348632357775564aabf3d78d6248b05c70259f7e9133a0c41af26d0eeb,7b61f2e442e19f328e38b404f10ad1f30e02bd4e2cebaf167967008468dd8407,bf34ef36c34366bfe9076573c94af5434d416318ebaba8a0c623b28cbd921c68,b1e61e565db9ed3d89b28c3c72a959aa8e6c1775e540e46e5bfdd6ed08e24ce2,270894e35f27daee400150c9c7996e64f615828c976a5906f9b1998a74907079,46d6f4f080d5d185773a001d6ff796a3883b39725b777db9ecacedb626ecc445,d49434259fd765089b9095e9ea00d9746c9837e488842c9081441da4dcccb951,c6ccbad58cdcf2382e8154724b8991c54d498831188e3d47e628afbaa9897db5,feef7062ca6d96af52a840af10890ab50620d925075dfb19397709bc4fb379c4,0fe391e2d5774484c6589aa375187a3b5ebe436f84b1151f6df9bf5e9adea76a,7216aec2d6c40ac9fa38de85596cba5a2ef44b8970d0a0a44f69683eb912273d,5e65be4e2e83b87364012b7747f7d0c06f60585cb3193a0de43807a6c4130fe9,d60405821beec8f85d8ca5916c46f4f05a0ae48a03ec9830b0239c0cb3617bfb,52b8e50ab08a3d13701fcfec128ed2acff11dfb17c8c169ba6c87b5b016d5c43,7311710e4017f7deed3e33ffcd9c1ded5279a0ba8256f52133c2c8648a4cddf1,f2fb51c7bacdd5e08a2d905b1238adf0a669e7c214570880b0f0bf4b0672acba,903329af618fda088fcd150398dc1c094e1c515ad0a3cb5edcc338420ee8fab2,ac91a8dc441f665f6f592754f9776d3716a300a51b8ef8cc07b5ebf3249b87aa,edb54bd783ba8df4e75c707bcb24192129ede7adad60b1d53c3307bb61641106,520399bc0486111aabbae6d3163aafd0d8aabed990db0255b09ae911cafb975a,f02db07c654b443eea4b8773fd47f786b95196c4afc1fb46562606945ba490e9,778c65f5171c5690990eb7dd08f210509c39d84a6aabc50afa8988a746e520ba,a059ddc0320c39de18721444a74be4acf66f6fddbfd46f15d1113f2e18264dba,9bd34f9eb406a0142593f3606893ac671c37be0bdeb2d3f836f24854b8159608,e5f4afae0ce544d3e1d705724bfa042d3b60db3c449ac84ce7d3be7a291fd90f,8606f31f2d44ae4ed590bc9de4ea5f0692c842c102da527d1d123b8fcd024c03,f8985009d52e6d8d3ce951cb8ba79d74d5ef6c19753c63974bd61543f5e3923c,441f3a2b69b0dc7fd8a1b5b90dac5bea494319007155577880733b9660f55ac1,8ca71f357841d289246dcde321a162d76c01649b235a5f902617de6b027e3712,e7707b4ef4315172a6678d31aa6b91a118537a998972cc36739cc478a72421d9,03310f1404169ec32948f0af18b057f54371f9982514ecc44043c137fa58c533,ae3a1c919c4b5e3b831a62396441882b7cecc440b9666a273dbd6abd0751a152,e42265bf88468ac9d96bc1e01790f11df8b6c3be3a5655df7d6f8197ef070794,3944ab8c5682b2871fb73e57958f9c720826662fa86848353f46ac4ffcd31deb,9db24719e5c22c9c341c6b270284fe39927cf9045df2b70eae655f8741ed6766,3d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c,4acca9325ddbad467d9768116258b52968a0b9974c2549109f94fad7947b712f,fa93303bcf6cd09a90a81dc552db699424075ee615c15f3e058477ff9833f3e8,53a12d63d8fd389a86a54575838cbc37af4a54813b35d7d036d653eca9a53323,5ce706d382cf0fb737c726b0970015bcf9e4ae76aadf12b4068ac3e5b6db8684,86e2e47f57623dc5eba650f130e0953baa6784ace4ac37c37d791639706bb14f,9253a888fb7fb1f1e7fb16940aac8b793833d2d19ab2d982543f24a3b15a3d51,68cd1848a9933cc4eb36d09b6ba39812e8daaa2b20c196f1efa10b30b83a9ad3,477df4283fa7278e82de362e9e3067fef28a7959eb79291bf905077feb06e7cc]"
        },
        "R5": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[34346437336262663934346465643039316232636432393262393633363137623165633733643438633332633438396565663263393763336438373534633731,63617264616e6f,6572676f,616464723171796b34337266736a666c3474737a373839713366347074706a65337872376d7579396e6a70647270337571663767307671727a38366b396865713278767077387a6e7534763670707268767074686e326c7463653837776d327673657536643661,39694c444833375a596a36553759447a5759644b6e6b636d646463337a65684d4872375932455238425a504b58674d46655871,00000013b98d6dd3,00000000193f6d5a,0000000000034c01,62623939663133623036323933336333323666353532646235333235333535656532666633636337393566633265346565336231373332362e37323733353335303436,39613036643965353435613431666435316565666663356532306438313830373362663832306336333565326139643932323236393931336530646533363964,35336230386433383638663665363834653033643636396561356537656631343539313834356463353934363338363233383564383365343066623864323933,0000000000973c03]"
        },
        "R6": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      },
      "spentTransactionId": "a55708c7628bdf257076f382e4ebcad05d67755e014595d7f19a79f2c8c66766",
      "mainChain": true
    },
    {
      "boxId": "4e65eabe33c1bcdefed78278f82cb7a0733d2b6117092806cb7aa33ae0884de6",
      "transactionId": "7d083d8676cd3322175031b3c2ad57c7a765f69b398df30eda9616c7788de6df",
      "blockId": "afc4c0438e62e106c9bb46714b609d2e9f444f8ffd1c68eb456fe428f0e3c79a",
      "value": 2000000,
      "index": 1,
      "globalIndex": 36784143,
      "creationHeight": 1196501,
      "settlementHeight": 1196503,
      "ergoTree": "0008cd026df07e00e1e85ceb735dd948043a0e1273dbb12b74e418c8fa8d07732590205d",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6df07e,3641d0,...)))}",
      "address": "9fMUmccKVLi6nwV19eSVKaUeizL2f2LwZW5K6i8tRojJx9dfWmy",
      "assets": [
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 0,
          "amount": 4216,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "199a0748a747033d0a338cef8a472c06956e03896bb0fec546cc56891ef57af2",
      "mainChain": true
    },
    {
      "boxId": "184c21b4fd109698778e8b4bc059ee2a7963ee708bd395f04a8e714fb84d5a8a",
      "transactionId": "7d083d8676cd3322175031b3c2ad57c7a765f69b398df30eda9616c7788de6df",
      "blockId": "afc4c0438e62e106c9bb46714b609d2e9f444f8ffd1c68eb456fe428f0e3c79a",
      "value": 2000000,
      "index": 2,
      "globalIndex": 36784144,
      "creationHeight": 1196501,
      "settlementHeight": 1196503,
      "ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
      "ergoTreeScript": "{sigmaProp(\n  allOf(\n    Coll[Boolean](\n      HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n        placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n      ), OUTPUTS.size == placeholder[Int](4)\n    )\n  )\n)}",
      "address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "40f956eac8cd17207ff15a6b81a7db29a27a4b130873f3dd40c967d5ac3c8ec7",
      "mainChain": true
    }
  ],
  "size": 5909,
  "isUnconfirmed": false
}