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Transaction

4/2/2024 05:20:54 PM
ID: e822071010...b8aa
Inputs (15)
#0
49d932258141...f53a
Spent
Address:
ZsPNMsGz8D8y...mNKb
Output transaction:
cf1893c2a03f...c7e1
Settlement height:
1,234,366
Value:
0.09451 ERG
Tokens:
rspv2CardanoRWT
144,000
#1
2e0881fab51b...3f9b
Spent
Address:
5ivrmzxYZc1s...PmVt
Output transaction:
097d1f0369ad...558d
Settlement height:
1,234,365
Value:
0.002 ERG
Tokens:
rspv2CardanoRWT
3,000
#2
65ebbcdacdb7...361a
Spent
Address:
5ivrmzxYZc1s...PmVt
Output transaction:
2093753ecc02...55b8
Settlement height:
1,234,365
Value:
0.002 ERG
Tokens:
rspv2CardanoRWT
3,000
#3
2bb1bb612750...aa50
Spent
Address:
5ivrmzxYZc1s...PmVt
Output transaction:
22108715b0ae...1049
Settlement height:
1,234,365
Value:
0.002 ERG
Tokens:
rspv2CardanoRWT
3,000
#4
0747d2c6f80c...b5e7
Spent
Address:
5ivrmzxYZc1s...PmVt
Output transaction:
2d4602b1ecff...5b15
Settlement height:
1,234,365
Value:
0.002 ERG
Tokens:
rspv2CardanoRWT
3,000
#5
e1d0dfe474b3...98d4
Spent
Address:
5ivrmzxYZc1s...PmVt
Output transaction:
61cd6b9d57a5...6e55
Settlement height:
1,234,365
Value:
0.002 ERG
Tokens:
rspv2CardanoRWT
3,000
#6
a07b28549b17...7002
Spent
Address:
5ivrmzxYZc1s...PmVt
Output transaction:
7d80585bd0b0...0986
Settlement height:
1,234,365
Value:
0.002 ERG
Tokens:
rspv2CardanoRWT
3,000
#7
b9c1aa7074ab...3b77
Spent
Address:
5ivrmzxYZc1s...PmVt
Output transaction:
d34c5798dc11...fc30
Settlement height:
1,234,365
Value:
0.002 ERG
Tokens:
rspv2CardanoRWT
3,000
#8
e8031684f29d...4e3b
Spent
Address:
5ivrmzxYZc1s...PmVt
Output transaction:
e94cace071a6...35cb
Settlement height:
1,234,365
Value:
0.002 ERG
Tokens:
rspv2CardanoRWT
3,000
#9
0449af065f15...7eac
Spent
Address:
5ivrmzxYZc1s...PmVt
Output transaction:
ea148ff0e07d...9efc
Settlement height:
1,234,365
Value:
0.002 ERG
Tokens:
rspv2CardanoRWT
3,000
#10
62a1d42d2c6f...0e4b
Spent
Address:
5ivrmzxYZc1s...PmVt
Output transaction:
bda6e03508ee...c37a
Settlement height:
1,234,365
Value:
0.002 ERG
Tokens:
rspv2CardanoRWT
3,000
#11
0bdf28549ef7...4c3b
Spent
Address:
5ivrmzxYZc1s...PmVt
Output transaction:
c2ff5ac42615...1834
Settlement height:
1,234,365
Value:
0.002 ERG
Tokens:
rspv2CardanoRWT
3,000
#12
ff717ce78f85...d33f
Spent
Address:
5ivrmzxYZc1s...PmVt
Output transaction:
c375e7c1049a...a08a
Settlement height:
1,234,365
Value:
0.002 ERG
Tokens:
rspv2CardanoRWT
3,000
#13
2c9208a1ed1c...6993
Spent
Address:
5ivrmzxYZc1s...PmVt
Output transaction:
c482e1b81301...c3a5
Settlement height:
1,234,365
Value:
0.002 ERG
Tokens:
rspv2CardanoRWT
3,000
#14
0768468b5bad...f7cc
Spent
Address:
Rosen Bridge (Bridge Hot Wallet)
Output transaction:
6349fc8779ca...071e
Settlement height:
1,234,271
Value:
800,254.25 ERG
Tokens:
Loading assets...
Outputs (67)
#0
802ae0c3a732...8a72
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
bec9bafc3ed7...b3cd
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#1
3eed564c0ae9...f301
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
68b6da00b572...dd03
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#2
b535d9c0bc16...fbaf
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
bb16492acc47...400b
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#3
612576e2cd9c...1416
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
3e873333b72a...bed5
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#4
997499b6709e...c746
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
81730f18e0b8...a427
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#5
3aa9efaf4ca4...9c59
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
c111d5f27ebf...c54b
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#6
ea0503e65a59...4b6f
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
a1ce2d2c103c...bbd7
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#7
e8202dc16088...379f
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
a6e075ae42d2...adab
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#8
d3f4a435fe5d...4f32
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
288b7dc852a7...bced
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#9
9be0fde13c5d...132f
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
0fa7b98cd67b...b611
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#10
d7f5f0344d00...af5a
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
29ad31fdba80...ba8a
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#11
dbac454e0b04...1758
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
41131b93f3d6...988b
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#12
d7b8157b5d92...7c51
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
4615f570ea92...72d3
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#13
c6618b15da01...2b59
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
1d1d3b97dd74...01d9
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#14
6f0b36dc0ec0...995d
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
e23b19ed4daf...3b10
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#15
1502eaf5a99a...7570
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
069b470c3699...24e3
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#16
956cab02b76e...578c
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
e2af8e8db31a...59e8
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#17
bfee3666b4f9...b748
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
678be213d16f...10d1
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#18
0bae5e4ae7ee...ff75
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
e10eb39ed6d5...6de9
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#19
6c85f13c7fcb...8257
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
344464bfc610...9300
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#20
871b719f1983...8639
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
a35e2ddeff2c...2984
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#21
ae5dc71c82d6...5189
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
5722ffc6b27c...8ea4
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#22
0aa159c8b3ac...deb2
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
768175a0bab3...5fc4
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#23
e2f4b20373c4...7ad0
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
65001b9b8733...654d
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#24
1640f1e60195...7d6b
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
b702e56c6141...0c1d
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#25
f8d243030bb5...3162
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
79b9fa7423b1...98dd
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#26
45c113b29994...80c9
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
92baccb4cd80...f323
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#27
2be07af0d440...f0b2
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
3101b8126174...d26d
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#28
b1ceeb337feb...8634
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
ed3d2612c04c...0418
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#29
5eb618244667...04c8
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
6f6d3f76b2f0...74a9
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#30
ffc024dd8404...53f4
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
0cbb083610eb...c533
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#31
4405e638ed45...187e
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
9dbd83569a5f...4c9a
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#32
92d82272dd2d...d3ba
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
11f8a0b22181...72f7
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#33
ee84d0cfb39c...e05a
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
aef1c58f00e0...37b9
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#34
5335f9f071c1...fd5f
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
b7f9a0531086...b69e
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#35
0938ee1e64e1...7902
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
3d89dd386946...16f6
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#36
a9a9725a027c...7c74
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
156113030fd7...7bc9
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#37
bd5c30995709...94da
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
81d15c55d4f0...75bf
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#38
37b8341a2075...cd4f
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
8191f049ae3b...2b8c
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#39
8e05968d706c...8969
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
3d72c97ee2c5...5c7f
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#40
98f1f525aa86...4e52
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
4d31cbd5d1a0...a77f
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#41
3ace0ba6ff3d...5f44
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
e48c44bbccfe...1af3
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#42
a92cb11e6a03...0d42
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
03ac22bd8e79...c7b7
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#43
741054a4fdc7...a393
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
d076bb879874...0c43
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#44
276ee7282fbb...ad57
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
4a8d1e965f0f...6322
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#45
a41b08e2d37d...d2e4
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
07ce4136656c...41b3
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#46
194069c44092...6beb
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
a31345a3b444...becc
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#47
f6ce18259e6f...54c3
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
d0c66910cc39...879a
Settlement height:
1,234,379
Value:
0.001968958 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#48
9cd3fb93b268...ecb1
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
f6593d16bb0d...0090
Settlement height:
1,234,379
Value:
0.002 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#49
e41ceccbbc1d...d1d9
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
f9f06c83c25f...8c2c
Settlement height:
1,234,379
Value:
0.002 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#50
c39b63f55954...4511
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
3ccc83966cc6...5669
Settlement height:
1,234,379
Value:
0.002 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#51
3ad196bf8e72...92a0
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
436844897eab...c713
Settlement height:
1,234,379
Value:
0.002 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#52
d97ca1932903...3ed1
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
7c38c6ac6255...c975
Settlement height:
1,234,379
Value:
0.002 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#53
a044e2ca5196...d6fd
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
e2449c01aa26...d092
Settlement height:
1,234,379
Value:
0.002 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#54
f34eb9027de0...a8af
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
b6869ef4ada5...27ea
Settlement height:
1,234,379
Value:
0.002 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#55
c4cb791db508...e1b1
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
270d6055934a...d668
Settlement height:
1,234,379
Value:
0.002 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#56
2b13787ca9c8...2adb
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
5d9b745eb895...6027
Settlement height:
1,234,379
Value:
0.002 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#57
5587e18e1af0...5c82
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
c813a80c1012...4330
Settlement height:
1,234,379
Value:
0.002 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#58
39006bc87df5...1d70
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
9efc789b27ca...53dc
Settlement height:
1,234,379
Value:
0.002 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#59
239ce6562ee2...208b
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
42dc919dcb1c...908a
Settlement height:
1,234,379
Value:
0.002 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#60
6ec0e9f7d0ea...fbb4
Spent
Address:
Rosen Bridge (Cardano Watcher Reward Distributor)
Spent in transaction:
40451abfba59...b85e
Settlement height:
1,234,379
Value:
0.002 ERG
Tokens:
RSN
1
rspv2CardanoRWT
3,000
#61
b8b16084c3ae...5835
Unspent
Address:
Rosen Bridge (Bridge Fee)
Settlement height:
1,234,379
Value:
5.21 ERG
#62
4cb607dcd61f...d565
Unspent
Address:
Rosen Bridge (Guard Rewards)
Settlement height:
1,234,379
Value:
0.0003 ERG
Tokens:
RSN
26.09
#63
1bf019005d16...fd45
Unspent
Address:
Rosen Bridge (Network Fee)
Settlement height:
1,234,379
Value:
0.2073 ERG
#64
02ddcee19d62...b108
Spent
Address:
9f3mHTZR4pk1...EnVH
Spent in transaction:
b6dfc8088e31...ba93
Settlement height:
1,234,379
Value:
1,000.78 ERG
#65
2a00d2bea6a4...dc65
Spent
Address:
Rosen Bridge (Bridge Hot Wallet)
Spent in transaction:
e6c5969e83f0...febe
Settlement height:
1,234,379
Value:
799,248.05 ERG
Tokens:
Loading assets...
#66
9030ff0c83a1...00d9
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
18e2dc72c3e6...a2e0
Settlement height:
1,234,379
Value:
0.0011 ERG
Transaction Details
Status: Confirmed
Size: 35.96 KB
Received time: 4/2/2024 05:20:54 PM
Included in blocks: 1,234,379
Confirmations: 525,461
Total coins transferred: 800,254.37 ERG
Fees: 0.0011 ERG
Fees per byte: 0.00000003 ERG
Raw Transaction Data
{
  "id": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
  "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
  "inclusionHeight": 1234379,
  "timestamp": 1712078454722,
  "index": 24,
  "globalIndex": 6937128,
  "numConfirmations": 525461,
  "inputs": [
    {
      "boxId": "49d932258141a93847355ae21f8b8a97339882977e8c1d48eae3fb74c855f53a",
      "value": 94510000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "ae6b2e66de815438f648cbad0600fd1e67bafcc33fe0e681ea88daefbbdc1784",
      "outputTransactionId": "cf1893c2a03f3baf5da76c3f2eca04895764d1422761f152f6da349a72e9c7e1",
      "outputIndex": 0,
      "outputGlobalIndex": 38691033,
      "outputCreatedAt": 1234364,
      "outputSettledAt": 1234366,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: Coll(-100,-40,-42,8,-67,7,83,-112,71,-26,-32,-54,31,-35,-93,-73,65,-83,76,86,-26,119,89,-19,-69,113,-76,14,86,-43,-62,-5)\n10: 1\n11: 0\n12: Coll(11,58,-99,21,-105,-66,-75,-57,-86,-62,-54,-90,83,-28,-96,63,76,-36,59,117,-72,-53,-13,9,-127,37,-99,-30,-4,115,113,104)\n13: 21600\n14: 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 i1 = SELF.R7[Int].get\n  val coll2 = OUTPUTS.filter({(box2: Box) =>\n      val coll4 = box2.tokens\n      (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1)\n    }).slice(placeholder[Int](3), i1)\n  val coll3 = OUTPUTS(placeholder[Int](4)).propositionBytes\n  val coll4 = blake2b256(coll3)\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        coll2.size == i1, SELF.R4[Coll[Byte]].get == blake2b256(\n          coll2.map({(box5: Box) => box5.R4[Coll[Byte]].get }).fold(Coll[Byte](), {(tuple5: (Coll[Byte], Coll[Byte])) => tuple5._1.append(tuple5._2) })\n        ), coll2.forall(\n          {(box5: Box) =>\n            ((box5.propositionBytes == coll3) && (box5.tokens(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1)) && (\n              box5.tokens(placeholder[Int](7))._2 == SELF.tokens(placeholder[Int](8))._2 / i1.toLong\n            )\n          }\n        ), if (coll4 == placeholder[Coll[Byte]](9)) {\n          allOf(\n            Coll[Boolean](\n              INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), HEIGHT - placeholder[Int](13) >= SELF.creationInfo._1\n            )\n          )\n        } else {\n          allOf(\n            Coll[Boolean](INPUTS.exists({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](14) }), coll4 == SELF.R6[Coll[Byte]].get)\n          )\n        }\n      )\n    )\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 144000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20e7dff0b7cbfa4658b87f89831f009265bd39cd80b1b086ff76003c62f346c279",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e7dff0b7cbfa4658b87f89831f009265bd39cd80b1b086ff76003c62f346c279"
        },
        "R5": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[37633439386234393163626534666435663038333937396666633566343761386130393165373861336336663065366533643366666362303834303430363764,63617264616e6f,6572676f,61646472317178646176636b367838663834376a70393474617a757a6d3073387268657839617568383873646a3972726b383575356163336d3963373332643335666d6e387933646a6774787565757a6e346a30363978746b3036347935613873757378306437,3966336d48545a5234706b314168595673526a514a555a4c48676d77546433534d4b654575374e3679577463564833456e5648,000000ea3a45cc00,000000013670dc16,000000000c5691c0,30346239353336383339336338323166313830646565653832323966626439343162616166396264373438656263646266376164626231342e37323733343535323437,657267,33363637333663313962323236386136616431663432396461376631636561656436386333353030663231363434323235313434336564626235306365616565,00000000009aa7a3]"
        },
        "R6": {
          "serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
        },
        "R7": {
          "serializedValue": "0460",
          "sigmaType": "SInt",
          "renderedValue": "48"
        }
      }
    },
    {
      "boxId": "2e0881fab51b801068d0c5b0525506c3a36ab95c4d7819f0ab7e96c422d43f9b",
      "value": 2000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "91eb4f8835b795f8ffdcab3101eeca5e7f1528ed6bf7d72a53fd425301c274ee",
      "outputTransactionId": "097d1f0369ad7a7525c6fc56bdb02ad07a5cecf7a818fb650f74180e2d7a558d",
      "outputIndex": 1,
      "outputGlobalIndex": 38690915,
      "outputCreatedAt": 1234362,
      "outputSettledAt": 1234365,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20c8b7a0adb357b827947629276a7c87a715261d7672fb2c3d7d79da9a66bd3962",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c8b7a0adb357b827947629276a7c87a715261d7672fb2c3d7d79da9a66bd3962"
        },
        "R5": {
          "serializedValue": "0e20522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074"
        },
        "R6": {
          "serializedValue": "0e20248919b5081e9c3b3d2b268cac9d7740d0fe61281ea39b6db985d8f1cf21486f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "248919b5081e9c3b3d2b268cac9d7740d0fe61281ea39b6db985d8f1cf21486f"
        },
        "R7": {
          "serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
        }
      }
    },
    {
      "boxId": "65ebbcdacdb760ad2d1e18ae3f4c2234221a6ef43522086d3726d391ccb5361a",
      "value": 2000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "91eb4f8835b795f8ffdcab3101eeca5e7f1528ed6bf7d72a53fd425301c274ee",
      "outputTransactionId": "2093753ecc02f649cbc0647cf76c534b03108ebaa507b5fa1be8ef98003e55b8",
      "outputIndex": 1,
      "outputGlobalIndex": 38690920,
      "outputCreatedAt": 1234361,
      "outputSettledAt": 1234365,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20b97e0b376b0fc040280d09fcb01a2df3197adca29169647b16e41fc032932ea8",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b97e0b376b0fc040280d09fcb01a2df3197adca29169647b16e41fc032932ea8"
        },
        "R5": {
          "serializedValue": "0e20522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074"
        },
        "R6": {
          "serializedValue": "0e2079d0aa7d6797a9b0eb9b4c7d193d1fdbaa6ac310adf777568ec9fb05f094f823",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "79d0aa7d6797a9b0eb9b4c7d193d1fdbaa6ac310adf777568ec9fb05f094f823"
        },
        "R7": {
          "serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
        }
      }
    },
    {
      "boxId": "2bb1bb6127509d46ef178c4de9890b8ca43a52830a049d6b210a1455c6d0aa50",
      "value": 2000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "91eb4f8835b795f8ffdcab3101eeca5e7f1528ed6bf7d72a53fd425301c274ee",
      "outputTransactionId": "22108715b0aecfde2d1dc94264802ef6644ccd9200ab1ae911ebd22f73a51049",
      "outputIndex": 1,
      "outputGlobalIndex": 38690925,
      "outputCreatedAt": 1234361,
      "outputSettledAt": 1234365,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e200c941df9f5037424d51d26ba6922a7b5ef25f89d43fbd686482024c1041c3b71",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0c941df9f5037424d51d26ba6922a7b5ef25f89d43fbd686482024c1041c3b71"
        },
        "R5": {
          "serializedValue": "0e20522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074"
        },
        "R6": {
          "serializedValue": "0e20973bf11792f1e503e9fcb9e4392256a15cb662a309c60e1f9a52f0a4c43b7962",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "973bf11792f1e503e9fcb9e4392256a15cb662a309c60e1f9a52f0a4c43b7962"
        },
        "R7": {
          "serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
        }
      }
    },
    {
      "boxId": "0747d2c6f80cfe716dfc4b35bab8c76933426fbf5dd58b2c9a2c94a15b3db5e7",
      "value": 2000000,
      "index": 4,
      "spendingProof": null,
      "outputBlockId": "91eb4f8835b795f8ffdcab3101eeca5e7f1528ed6bf7d72a53fd425301c274ee",
      "outputTransactionId": "2d4602b1ecffdc592f3bbd388a02ab6efcb4575ffcd0822e5a2b1930ad175b15",
      "outputIndex": 1,
      "outputGlobalIndex": 38690930,
      "outputCreatedAt": 1234362,
      "outputSettledAt": 1234365,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20ea1a8d48ebf6ce2f907d0a2c235bd03382170fb417a23fa52e8ca40aedb6692c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ea1a8d48ebf6ce2f907d0a2c235bd03382170fb417a23fa52e8ca40aedb6692c"
        },
        "R5": {
          "serializedValue": "0e20522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074"
        },
        "R6": {
          "serializedValue": "0e201d5c779a92fccf3ec83d1667be9dc450f6ce138035d1c189f0392403a9f8a96e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1d5c779a92fccf3ec83d1667be9dc450f6ce138035d1c189f0392403a9f8a96e"
        },
        "R7": {
          "serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
        }
      }
    },
    {
      "boxId": "e1d0dfe474b3dda136dfc664d72970e92cccea65d2ad4e98db6c2a73c30798d4",
      "value": 2000000,
      "index": 5,
      "spendingProof": null,
      "outputBlockId": "91eb4f8835b795f8ffdcab3101eeca5e7f1528ed6bf7d72a53fd425301c274ee",
      "outputTransactionId": "61cd6b9d57a54f01a1b263fbf75019943ef5460746659d5c0471388f2f736e55",
      "outputIndex": 1,
      "outputGlobalIndex": 38690935,
      "outputCreatedAt": 1234362,
      "outputSettledAt": 1234365,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2094cb08d7d7d4fa8c7a73bdecb7d658438442366c3c6f4f7214d43c5df2a05cae",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "94cb08d7d7d4fa8c7a73bdecb7d658438442366c3c6f4f7214d43c5df2a05cae"
        },
        "R5": {
          "serializedValue": "0e20522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074"
        },
        "R6": {
          "serializedValue": "0e20e91945feadabde5207bc8b353d839e98e6714c6e7c926b4f08ea4f8b4177e6e6",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e91945feadabde5207bc8b353d839e98e6714c6e7c926b4f08ea4f8b4177e6e6"
        },
        "R7": {
          "serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
        }
      }
    },
    {
      "boxId": "a07b28549b175d12bf7efe47f34249978427280ae1e7c04593968711ce5a7002",
      "value": 2000000,
      "index": 6,
      "spendingProof": null,
      "outputBlockId": "91eb4f8835b795f8ffdcab3101eeca5e7f1528ed6bf7d72a53fd425301c274ee",
      "outputTransactionId": "7d80585bd0b0e767602644c72fe9ac6a9a87a535bc8869e4ce3f1cf5d2a30986",
      "outputIndex": 1,
      "outputGlobalIndex": 38690940,
      "outputCreatedAt": 1234361,
      "outputSettledAt": 1234365,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e202c8067c785e1cf655336267573e8e5071143bc401fed2bbf5919c8fd56f9aca9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2c8067c785e1cf655336267573e8e5071143bc401fed2bbf5919c8fd56f9aca9"
        },
        "R5": {
          "serializedValue": "0e20522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074"
        },
        "R6": {
          "serializedValue": "0e2040b703348b340d07265c842920a2e36b52e1da13cd8cf8f3445a9579c5efe3be",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "40b703348b340d07265c842920a2e36b52e1da13cd8cf8f3445a9579c5efe3be"
        },
        "R7": {
          "serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
        }
      }
    },
    {
      "boxId": "b9c1aa7074ab376c58cb7ff49ccf1801a661c69cc65342136215205b55293b77",
      "value": 2000000,
      "index": 7,
      "spendingProof": null,
      "outputBlockId": "91eb4f8835b795f8ffdcab3101eeca5e7f1528ed6bf7d72a53fd425301c274ee",
      "outputTransactionId": "d34c5798dc11d17549f310847c35cf6a2b454a989a6edcaacff6ffb1be5ffc30",
      "outputIndex": 1,
      "outputGlobalIndex": 38690945,
      "outputCreatedAt": 1234362,
      "outputSettledAt": 1234365,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "5ivrmzxYZc1s5aYrsy9uMd3wphLaHx4Kqrw7wVDwQdtj967D3qYpAw15uAr1CK4RbXKFW7kersNNe9tXu22iut2zG7tCmAP9TzSNgHMSJFBzR9y7vmqpmTGyFmn6poS81E8MzwaJ2MxkULFoS2nj7CwVsCMGweg84sJShZkGm81jxw6N65GHddQ4sJsBJb6MYFcVXeLxrgnEMPd3eFH7XoVj5uM97P6rsUAztZmeaA9hdUkc9Bz497j5BKQaiXyrFj8ghEtL1cemwfnGrsybkuq132QT9qsW7dNaG95D5wSYNUoAP7mVcziPas1PvEa5xRgMKnvE4ByYPT6BfkAMijYfXSDLzi1EbksurZGfC6jX7jfSgwuugXMNbjrUwhzj6657H9MsytUxRW8kNUKN7mwUphQGFS3nWLG4hzyas5BF8MnK7usWD7MJko7FaUWwNPVrRdatwB5uu6rUrY8UeAW9DPQMrL6VZWMKMWFmoY722pVYHdMdCsehR3CnsRDGDpZtvdqJnGgn2czeZ4AfK8o6aykw3HMTvNP2e6pxNt6FYgr2WZhbXsmeqA6bG7t9JNCw6H7tA8KJPAN1X6CYeZMitX5RWCrMtrSy2NEDepNvMgH3n4GD3tvS5Rs94gFVWHfLu4JM5BaTwfRTcdfirnwPQhYhtH6SEc8b5SgGkraojn4JgkKGp2ftszDUNyaKrY8XJQusuMG64Aoe96wr2AaRKKtUhAKfk7kUXHtGoV3h4MhDy5Wnbgb6hXcmQoMQ8HnT7JMAFWUUeWyveNn3hdNucDf2WtmXBsRpwUidapBJPD9Xukw6uEsWdkzsCNcdhZM4EqnkadRKziCubVx52TYoxDYqupyLssPc6JdaLUWny1Nh2vsEdnuNYXj82iX7AeJRaHJeyn8wytA7G8NwQXp2THTniwF6hPCWTub5khfdJ2g4VDTv14GRL88NA6w49N5FaG2ZWxqgRKYxbEJqgBE91KWHoXfsB4qvo6cGfMwpeJU5g6FTiexmXZqrNpRwmnnx1NTGK4TdqnksfaXZPMfPBbdJnQu1vfGwLuMkP5f5EvyfQ4KzazA67AxoabFYkKJk4pvVkRqaWUps9b3nkZhErUMAgxYR4raNtKHSUT13c9RMaGQmtV8viR4b7Z2JoKjqiEP9xGVoZBANhDpJ3EpihvRmDuy7MAZfy1qEm59spvdgdPPEiffw8GBv9MyDfsAGNSzsMhiP1f8WKXduWy7AdEJZTrBJkLZFPTaRHHyU9XvbRyzrxhV87thVrfRhv88hN6Viw2CyRdMJUPmVt",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e200a07463bb0fae203cb86e2d883d7234286ceb86674d778469dd9ba1b966ad2c0",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0a07463bb0fae203cb86e2d883d7234286ceb86674d778469dd9ba1b966ad2c0"
        },
        "R5": {
          "serializedValue": "0e20522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074"
        },
        "R6": {
          "serializedValue": "0e20d98e0d4bbd6a08abbc6d3e5aabe55787720ebbd4b92ffb52a2a0ec83c19a4e85",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d98e0d4bbd6a08abbc6d3e5aabe55787720ebbd4b92ffb52a2a0ec83c19a4e85"
        },
        "R7": {
          "serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
        }
      }
    },
    {
      "boxId": "e8031684f29d730b799a90867dd011113cf877bcfbd7087ffbe91f5fd02b4e3b",
      "value": 2000000,
      "index": 8,
      "spendingProof": null,
      "outputBlockId": "91eb4f8835b795f8ffdcab3101eeca5e7f1528ed6bf7d72a53fd425301c274ee",
      "outputTransactionId": "e94cace071a6a92dca5fdd5653aa7538041d270dc8c3507e94b29afbd89e35cb",
      "outputIndex": 1,
      "outputGlobalIndex": 38690950,
      "outputCreatedAt": 1234362,
      "outputSettledAt": 1234365,
      "ergoTree": "102404000e2043cc6134bf9ea1c1eee26380bb304d58430217ca5799366356819039a45abc24040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e2037aa6c6c414a85912b373ca9a3abe88a29b9c738a9c1b2bf8644c19dedc09ce004000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e202cff108ab0b917e019171f059330ba7b3a05c4fdeeade47383f5892cbee92259",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2cff108ab0b917e019171f059330ba7b3a05c4fdeeade47383f5892cbee92259"
        },
        "R5": {
          "serializedValue": "0e20522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074"
        },
        "R6": {
          "serializedValue": "0e203ea33bc27d18fbceac231edc0e9bb605d304c6cc41658ac4d73c61c07b9e8b09",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "3ea33bc27d18fbceac231edc0e9bb605d304c6cc41658ac4d73c61c07b9e8b09"
        },
        "R7": {
          "serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
        }
      }
    },
    {
      "boxId": "0449af065f15724a6fbed80d59725e856213b0493bb17f063f51e147e0fb7eac",
      "value": 2000000,
      "index": 9,
      "spendingProof": null,
      "outputBlockId": "91eb4f8835b795f8ffdcab3101eeca5e7f1528ed6bf7d72a53fd425301c274ee",
      "outputTransactionId": "ea148ff0e07d3609dc92e84200495c6d12e726fdf6e5f4de2f3322e2dc109efc",
      "outputIndex": 1,
      "outputGlobalIndex": 38690955,
      "outputCreatedAt": 1234361,
      "outputSettledAt": 1234365,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2031dc30f0a547a719f65be0d6fd8cbc025d4a913bff66791f609413c1bd0b94c9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "31dc30f0a547a719f65be0d6fd8cbc025d4a913bff66791f609413c1bd0b94c9"
        },
        "R5": {
          "serializedValue": "0e20522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074"
        },
        "R6": {
          "serializedValue": "0e203ba67baddef9e2ca68925418de833c465866a6cd2cffee94dd2f709de6eeb5ab",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "3ba67baddef9e2ca68925418de833c465866a6cd2cffee94dd2f709de6eeb5ab"
        },
        "R7": {
          "serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
        }
      }
    },
    {
      "boxId": "62a1d42d2c6f9e8baf64535b876e0bd3c09bbe818459ba97914c091ec83f0e4b",
      "value": 2000000,
      "index": 10,
      "spendingProof": null,
      "outputBlockId": "91eb4f8835b795f8ffdcab3101eeca5e7f1528ed6bf7d72a53fd425301c274ee",
      "outputTransactionId": "bda6e03508eeae8d3597da0c295c1e28a794dd35ec460dbc5d10dddb8242c37a",
      "outputIndex": 1,
      "outputGlobalIndex": 38690960,
      "outputCreatedAt": 1234362,
      "outputSettledAt": 1234365,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e204345ccef6237ba582470546c3b4ad7d086aeec8937a0da227542667cfaf9cd30",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4345ccef6237ba582470546c3b4ad7d086aeec8937a0da227542667cfaf9cd30"
        },
        "R5": {
          "serializedValue": "0e20522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074"
        },
        "R6": {
          "serializedValue": "0e20cace000050f1f3da0705c18ef723e9126160b89c1fe9ddbc315809b9bfbdd128",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "cace000050f1f3da0705c18ef723e9126160b89c1fe9ddbc315809b9bfbdd128"
        },
        "R7": {
          "serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
        }
      }
    },
    {
      "boxId": "0bdf28549ef7be6dcd77b9c4d5669277332e54f882d3a04e2c8556ca95d34c3b",
      "value": 2000000,
      "index": 11,
      "spendingProof": null,
      "outputBlockId": "91eb4f8835b795f8ffdcab3101eeca5e7f1528ed6bf7d72a53fd425301c274ee",
      "outputTransactionId": "c2ff5ac4261518503de5ddb4b24bbbc0806f82708f29d0e888a341673d331834",
      "outputIndex": 1,
      "outputGlobalIndex": 38690965,
      "outputCreatedAt": 1234361,
      "outputSettledAt": 1234365,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "5ivrmzxYZc1s5aYrsy9uMd3wphLaHx4Kqrw7wVDwQdtj967D3qYpAw15uAr1CK4RbXKFW7kersNNe9tXu22iut2zG7tCmAP9TzSNgHMSJFBzR9y7vmqpmTGyFmn6poS81E8MzwaJ2MxkULFoS2nj7CwVsCMGweg84sJShZkGm81jxw6N65GHddQ4sJsBJb6MYFcVXeLxrgnEMPd3eFH7XoVj5uM97P6rsUAztZmeaA9hdUkc9Bz497j5BKQaiXyrFj8ghEtL1cemwfnGrsybkuq132QT9qsW7dNaG95D5wSYNUoAP7mVcziPas1PvEa5xRgMKnvE4ByYPT6BfkAMijYfXSDLzi1EbksurZGfC6jX7jfSgwuugXMNbjrUwhzj6657H9MsytUxRW8kNUKN7mwUphQGFS3nWLG4hzyas5BF8MnK7usWD7MJko7FaUWwNPVrRdatwB5uu6rUrY8UeAW9DPQMrL6VZWMKMWFmoY722pVYHdMdCsehR3CnsRDGDpZtvdqJnGgn2czeZ4AfK8o6aykw3HMTvNP2e6pxNt6FYgr2WZhbXsmeqA6bG7t9JNCw6H7tA8KJPAN1X6CYeZMitX5RWCrMtrSy2NEDepNvMgH3n4GD3tvS5Rs94gFVWHfLu4JM5BaTwfRTcdfirnwPQhYhtH6SEc8b5SgGkraojn4JgkKGp2ftszDUNyaKrY8XJQusuMG64Aoe96wr2AaRKKtUhAKfk7kUXHtGoV3h4MhDy5Wnbgb6hXcmQoMQ8HnT7JMAFWUUeWyveNn3hdNucDf2WtmXBsRpwUidapBJPD9Xukw6uEsWdkzsCNcdhZM4EqnkadRKziCubVx52TYoxDYqupyLssPc6JdaLUWny1Nh2vsEdnuNYXj82iX7AeJRaHJeyn8wytA7G8NwQXp2THTniwF6hPCWTub5khfdJ2g4VDTv14GRL88NA6w49N5FaG2ZWxqgRKYxbEJqgBE91KWHoXfsB4qvo6cGfMwpeJU5g6FTiexmXZqrNpRwmnnx1NTGK4TdqnksfaXZPMfPBbdJnQu1vfGwLuMkP5f5EvyfQ4KzazA67AxoabFYkKJk4pvVkRqaWUps9b3nkZhErUMAgxYR4raNtKHSUT13c9RMaGQmtV8viR4b7Z2JoKjqiEP9xGVoZBANhDpJ3EpihvRmDuy7MAZfy1qEm59spvdgdPPEiffw8GBv9MyDfsAGNSzsMhiP1f8WKXduWy7AdEJZTrBJkLZFPTaRHHyU9XvbRyzrxhV87thVrfRhv88hN6Viw2CyRdMJUPmVt",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20669dc98c690560eaaca8bae1b080f8b57ea6e0a9be15a63c4327a61f5ae643d3",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "669dc98c690560eaaca8bae1b080f8b57ea6e0a9be15a63c4327a61f5ae643d3"
        },
        "R5": {
          "serializedValue": "0e20522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074"
        },
        "R6": {
          "serializedValue": "0e20e863eebaecbd884f38d4b91ec02c92a48dc0fb3a10278532c7264ddbf3644ccf",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e863eebaecbd884f38d4b91ec02c92a48dc0fb3a10278532c7264ddbf3644ccf"
        },
        "R7": {
          "serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
        }
      }
    },
    {
      "boxId": "ff717ce78f85ac8dc723ab0432017817b94b52d471bc7b04b7d8a022527bd33f",
      "value": 2000000,
      "index": 12,
      "spendingProof": null,
      "outputBlockId": "91eb4f8835b795f8ffdcab3101eeca5e7f1528ed6bf7d72a53fd425301c274ee",
      "outputTransactionId": "c375e7c1049a36a73db598cad4cdf439d797a3736e996fecd39529a2921ba08a",
      "outputIndex": 1,
      "outputGlobalIndex": 38690970,
      "outputCreatedAt": 1234362,
      "outputSettledAt": 1234365,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "5ivrmzxYZc1s5aYrsy9uMd3wphLaHx4Kqrw7wVDwQdtj967D3qYpAw15uAr1CK4RbXKFW7kersNNe9tXu22iut2zG7tCmAP9TzSNgHMSJFBzR9y7vmqpmTGyFmn6poS81E8MzwaJ2MxkULFoS2nj7CwVsCMGweg84sJShZkGm81jxw6N65GHddQ4sJsBJb6MYFcVXeLxrgnEMPd3eFH7XoVj5uM97P6rsUAztZmeaA9hdUkc9Bz497j5BKQaiXyrFj8ghEtL1cemwfnGrsybkuq132QT9qsW7dNaG95D5wSYNUoAP7mVcziPas1PvEa5xRgMKnvE4ByYPT6BfkAMijYfXSDLzi1EbksurZGfC6jX7jfSgwuugXMNbjrUwhzj6657H9MsytUxRW8kNUKN7mwUphQGFS3nWLG4hzyas5BF8MnK7usWD7MJko7FaUWwNPVrRdatwB5uu6rUrY8UeAW9DPQMrL6VZWMKMWFmoY722pVYHdMdCsehR3CnsRDGDpZtvdqJnGgn2czeZ4AfK8o6aykw3HMTvNP2e6pxNt6FYgr2WZhbXsmeqA6bG7t9JNCw6H7tA8KJPAN1X6CYeZMitX5RWCrMtrSy2NEDepNvMgH3n4GD3tvS5Rs94gFVWHfLu4JM5BaTwfRTcdfirnwPQhYhtH6SEc8b5SgGkraojn4JgkKGp2ftszDUNyaKrY8XJQusuMG64Aoe96wr2AaRKKtUhAKfk7kUXHtGoV3h4MhDy5Wnbgb6hXcmQoMQ8HnT7JMAFWUUeWyveNn3hdNucDf2WtmXBsRpwUidapBJPD9Xukw6uEsWdkzsCNcdhZM4EqnkadRKziCubVx52TYoxDYqupyLssPc6JdaLUWny1Nh2vsEdnuNYXj82iX7AeJRaHJeyn8wytA7G8NwQXp2THTniwF6hPCWTub5khfdJ2g4VDTv14GRL88NA6w49N5FaG2ZWxqgRKYxbEJqgBE91KWHoXfsB4qvo6cGfMwpeJU5g6FTiexmXZqrNpRwmnnx1NTGK4TdqnksfaXZPMfPBbdJnQu1vfGwLuMkP5f5EvyfQ4KzazA67AxoabFYkKJk4pvVkRqaWUps9b3nkZhErUMAgxYR4raNtKHSUT13c9RMaGQmtV8viR4b7Z2JoKjqiEP9xGVoZBANhDpJ3EpihvRmDuy7MAZfy1qEm59spvdgdPPEiffw8GBv9MyDfsAGNSzsMhiP1f8WKXduWy7AdEJZTrBJkLZFPTaRHHyU9XvbRyzrxhV87thVrfRhv88hN6Viw2CyRdMJUPmVt",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2048a17bba268c94ea3deb5bbee88e887e96f8b616e7c20de563875b5731b72dd9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "48a17bba268c94ea3deb5bbee88e887e96f8b616e7c20de563875b5731b72dd9"
        },
        "R5": {
          "serializedValue": "0e20522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074"
        },
        "R6": {
          "serializedValue": "0e20e355c73929e70207d037d5473d99703faa611f716c2a8a2425378559dfd5d14b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e355c73929e70207d037d5473d99703faa611f716c2a8a2425378559dfd5d14b"
        },
        "R7": {
          "serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
        }
      }
    },
    {
      "boxId": "2c9208a1ed1cf927cd69f80f24de8101b5bb4f875aa6df3dc4b70bf83cc86993",
      "value": 2000000,
      "index": 13,
      "spendingProof": null,
      "outputBlockId": "91eb4f8835b795f8ffdcab3101eeca5e7f1528ed6bf7d72a53fd425301c274ee",
      "outputTransactionId": "c482e1b813015b7a67c798a47784d224c01b4b3b14ef1567f4121ffd6ad1c3a5",
      "outputIndex": 1,
      "outputGlobalIndex": 38690975,
      "outputCreatedAt": 1234361,
      "outputSettledAt": 1234365,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(67,-52,97,52,-65,-98,-95,-63,-18,-30,99,-128,-69,48,77,88,67,2,23,-54,87,-103,54,99,86,-127,-112,57,-92,90,-68,36)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(55,-86,108,108,65,74,-123,-111,43,55,60,-87,-93,-85,-24,-118,41,-71,-57,56,-87,-63,-78,-65,-122,68,-63,-99,-19,-64,-100,-32)\n26: 0\n27: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20fdcc8cd645392188bd37960f1afd7e1e2cb6a089af3be6c5b8d54924daf5cabe",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "fdcc8cd645392188bd37960f1afd7e1e2cb6a089af3be6c5b8d54924daf5cabe"
        },
        "R5": {
          "serializedValue": "0e20522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "522f04d2a37b1e415ae5aca37dae176bba7eb433ec4606c85694934e55561074"
        },
        "R6": {
          "serializedValue": "0e206272107d6881c36a9051107e592e53be00a9e345b1870786b941fbc7c5b22c79",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6272107d6881c36a9051107e592e53be00a9e345b1870786b941fbc7c5b22c79"
        },
        "R7": {
          "serializedValue": "0e201d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1d2ba7e16dd669c06646f3541820f8c45b8f6795c573506830a0c9b6cc58f2b4"
        }
      }
    },
    {
      "boxId": "0768468b5badbf1c8d1ffb0df2e60fec6090e6d0e5710c90915b74007b63f7cc",
      "value": 800254254161949,
      "index": 14,
      "spendingProof": "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",
      "outputBlockId": "1023b296340716ed7cbd29247372503d35a30cf3b009307953751d73fb75a666",
      "outputTransactionId": "6349fc8779cae0a95903fa18b71ff367755c21ba197a1b77b1cd6475df2a071e",
      "outputIndex": 68,
      "outputGlobalIndex": 38687339,
      "outputCreatedAt": 1234264,
      "outputSettledAt": 1234271,
      "ergoTree": "100304000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
      "ergoTreeConstants": "0: 0\n1: Coll(85,-65,-103,59,67,118,-70,19,34,100,-48,-124,-16,111,-32,51,50,26,-76,60,104,-37,20,53,-96,-25,-32,-65,119,-35,-73,53)\n2: 0",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n    box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n  )\n}",
      "address": "nB3L2PD3J4rMmyGk7nnNdESpPXxhPRQ4t1chF8LTXtceMQjKCEgL2pFjPY6cehGjyEFZyHEomBTFXZyqfonvxDozrTtK5JzatD8SdmcPeJNWPvdRb5UxEMXE4WQtpAFzt2veT8Z6bmoWN",
      "assets": [
        {
          "tokenId": "e023c5f382b6e96fbd878f6811aac73345489032157ad5affb84aefd4956c297",
          "index": 0,
          "amount": 936718149659,
          "name": "rsADA",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 51007372267,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "9a06d9e545a41fd51eeffc5e20d818073bf820c635e2a9d922269913e0de369d",
          "index": 2,
          "amount": 42730356,
          "name": "SPF",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "6ad70cdbf928a2bdd397041a36a5c2490a35beb4d20eabb5666f004b103c7189",
          "index": 3,
          "amount": 99153829745070,
          "name": "rsHOSKY",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
          "index": 4,
          "amount": 53506534,
          "name": "COMET",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "a37c7bf182628c7533614f40cece2594d564558990127cdc79219f082b6095fb",
          "index": 5,
          "amount": 5000000000000000,
          "name": "Mint",
          "decimals": 8,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "5a26a1a8a9ee04267a4b1beeffc7949c0de5e8c46534c0a40b49b1d3d74b7881",
      "value": 98900000,
      "index": 0,
      "outputBlockId": "9af1ae0e8517d4b21cea6eefcd2a22da538295265242fca54e1925ca99934901",
      "outputTransactionId": "cc8dcf1ac1668def5367a0c1dc93af8eaf464ee056c5f0b365f3271e8e346120",
      "outputIndex": 0,
      "ergoTree": "100804000400040004000400040004020402d802d601b2db6308b2a5730000730100d602b2db6308a7730200ea02d19683030193b1b5a4d9010363d801d605db63087203ed91b172057303938cb27205730400018cb2db6308a7730500017306938c7201018c720201938c7201028c72020298b2e4c6a70510730700ade4c6a7041ad901030ecdee7203",
      "address": "3FBpC6dt4xNpexUbLSZDR4YbuMWwLyKDUjbnHPCQf6VpUfqqLGzQ6P6uKkfoF1Eudh9YSU9uTEwYYJ3J8hDERT2mhM6wvCciz4HvZPLMUtdjeg5mCtJMyi6Wy2wTeQQ6UxyuwKCNGxU669QN1HNz7MF5JMg1xy84cEFVcTCcU2rKqiYpHNotatUq6uP6K3fAraF",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[023f8413bfc4337f638d5cb4ed8061a19a585b7f8cc998e833da7bcce233259af1,03e463d7f39be38581653880cc0012786d1a9dca392915677e6752cc9340fee658,02a54073ef61346116d1b823443425bf5ac2598446e492373be2f3051538c6a970,03d243f910e893cbe9762c7d99253240e07656ffbc4c2df4c8cefdb929c138fdfe,02ccee7bdf8fa0177a040f4e2c38229a759c9b4868c7385c096a6e596631a15248,02a8ad3349dc0c6cd36d94665350a728feb8c0d0736220ff9526a86a1ff34a3ca8,03f5d16bbd6e604a5cd9dc39389613cd793a1410c7355532a6863ebb54ffda2786,037bd82a1cea0b7ffabd76beddbf33d0095acfe5a43d9a36482d141dd982102538,0356f30114e4a2ded498e2b75ea5f4e97100f94e137c8958446932f08de289cb92,0263470e93f98af66bab6a984e305374a4ca822d70364cc50289c3921d657b052d]"
        },
        "R5": {
          "serializedValue": "10020c0e",
          "sigmaType": "Coll[SInt]",
          "renderedValue": "[6,7]"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "802ae0c3a73223306cfefd122e36671be492127562b019c0682c419aee388a72",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 0,
      "globalIndex": 38691639,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "101904000400040004000400040005000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660040604000404040204000402050404000400040004000400040204000e20e8c5450c02658c2b9d07e43cad89414963d6bcb09218d7be4d26d00dd99a4e0304040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e201f5e0093911cdaa9258edb46ad972e5a91ed8addd75cfa1a2f51491c0ec5fcc3",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1f5e0093911cdaa9258edb46ad972e5a91ed8addd75cfa1a2f51491c0ec5fcc3"
        }
      },
      "spentTransactionId": "bec9bafc3ed78de32ac82c6d2e9ff68f3918d8a20b7b786e2b39eb6d1184b3cd",
      "mainChain": true
    },
    {
      "boxId": "3eed564c0ae98dde8aff84528b523d9e91fc9fef44bf9a02137b9a0890a3f301",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 1,
      "globalIndex": 38691640,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "101904000400040004000400040005000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660040604000404040204000402050404000400040004000400040204000e20e8c5450c02658c2b9d07e43cad89414963d6bcb09218d7be4d26d00dd99a4e0304040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e201ab6311c133d2b9a2f4cfd0b61db9b74abdebe8bd92cf3d18183febfc1aa8f02",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1ab6311c133d2b9a2f4cfd0b61db9b74abdebe8bd92cf3d18183febfc1aa8f02"
        }
      },
      "spentTransactionId": "68b6da00b572cdf592965bc258201e7f78d655a40dd0cd0f61cb3cc842e5dd03",
      "mainChain": true
    },
    {
      "boxId": "b535d9c0bc16052d027658f3ac9bfeff920bb5b10aa0cb5f79526cc64c4ffbaf",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 2,
      "globalIndex": 38691641,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "2Eit2LFRqu2Mo33z3pYTJRHNCPYS33MrU9QgeNcRsF9359pYMahqnLvKsHwwH72C6WDSZRj7G7WC5heVyUEawcSLSx821iJXT4xWf2F5fjVWDUskGdVdyYY5RBJnp3dfYC7iPoRNeopAFQWFwEbTieow347UhRyqvo2LntFpXzomvGwVTfq9YXS8Z1GGW5mUEioD5xC17Sz72NLbQrskSx7QZAxQTbMGh6vwM9J4q7NzRmQeHmWaHLpUHMU4Jdd5ccKumMvAY8d5C8RxB4iATySLY2N1wY84qNsWNaqkNofbUebf6LgmU9HTKAmU3nDoBfX7mhCjH8kXDhZeYdRsuLVFEYu83TkpwgHAYGmUoemxWAeA2BKMx8CBAy9jxbCyUjdnk9i7sLxuejrwLLh8W4tP81YkESjZ8BV65BhzPdvCaiX8vBSorgFfnvGKVzwfhhsSDwLY1GUwLTMLwTUTjSzEjsMX9hzsEEEmhxLsekabLmK3HZ1jssLrFryNuE59uS51hazJsi3gsT8SBk1J9YV6Dq6xto28nLqrMqK6raqLcAm2iU8hBtqdoSXqWzsrZHpqc2uLGhY52ee4k9TpFBvN1RovYUtY6KS4FncT4UgnbEFkzsnWYKX3CDn16tJs5CyZ97gKcvUonZ5EqTwabzni14CcQsTtKtEAqj1odvSyfJ94NnEjuiVPC3VmZbQvveN3bQ",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e204ee0ea8e491cee003b0106415d88dcca7ed0a303a0896eca3e2b4e6ddfcd3b62",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4ee0ea8e491cee003b0106415d88dcca7ed0a303a0896eca3e2b4e6ddfcd3b62"
        }
      },
      "spentTransactionId": "bb16492acc47181e70e37bc907f3f0dbb361071bd2bdda88178295e024b3400b",
      "mainChain": true
    },
    {
      "boxId": "612576e2cd9c7005237d9e0d7960cf4eb287034f198a5040ee45d6f0b9e71416",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 3,
      "globalIndex": 38691642,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e201bfd1f4980520c9847b8a0f298007e8f7bde83eb8dcecbcf8d5f66d5e110655b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1bfd1f4980520c9847b8a0f298007e8f7bde83eb8dcecbcf8d5f66d5e110655b"
        }
      },
      "spentTransactionId": "3e873333b72a219319786e6780aacd171e3e0a905e259194b1ab63e93a07bed5",
      "mainChain": true
    },
    {
      "boxId": "997499b6709eb84ceeab90f1fcc10fae7a9b43bfa8c59adf373a074ebd3fc746",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 4,
      "globalIndex": 38691643,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20ae560ab6a7a5d79e75fad539789f2d995c03e426663beac1754bfc95e1155d6c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ae560ab6a7a5d79e75fad539789f2d995c03e426663beac1754bfc95e1155d6c"
        }
      },
      "spentTransactionId": "81730f18e0b8d3838cfacfe7ea35576971e401dc7599fc121064bcb27a77a427",
      "mainChain": true
    },
    {
      "boxId": "3aa9efaf4ca492122ce99fa657c1454dac433f343340198faf214b1480fe9c59",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 5,
      "globalIndex": 38691644,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2051c49be545b1a83ac47316b0142e46ecd1363c392e2521feff44c2a7c5d3f4d4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "51c49be545b1a83ac47316b0142e46ecd1363c392e2521feff44c2a7c5d3f4d4"
        }
      },
      "spentTransactionId": "c111d5f27ebfaf0f8cd3528f2dee7258ddf3fb58f6b6f0567d2c4d00c83fc54b",
      "mainChain": true
    },
    {
      "boxId": "ea0503e65a59e990e89a04d8dfa1079fae26f5f3d3c5220e8fa6bf46face4b6f",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 6,
      "globalIndex": 38691645,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2073e5756d6e6c8cdd9c4be97070e0bf56a96dcb8cfd088cc484ef9748a6911b19",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "73e5756d6e6c8cdd9c4be97070e0bf56a96dcb8cfd088cc484ef9748a6911b19"
        }
      },
      "spentTransactionId": "a1ce2d2c103cf90ac5fb728470a637a3ceefa59e69dcd27138f2e384a2d1bbd7",
      "mainChain": true
    },
    {
      "boxId": "e8202dc1608885a034e4895ab757e355fa31549a01223030c3d37dd414c5379f",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 7,
      "globalIndex": 38691646,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "101904000400040004000400040005000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660040604000404040204000402050404000400040004000400040204000e20e8c5450c02658c2b9d07e43cad89414963d6bcb09218d7be4d26d00dd99a4e0304040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e201b1c6eed0b821f8a94fb74e0a29152401172ff37166d19dd8348e196f7dda5d1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1b1c6eed0b821f8a94fb74e0a29152401172ff37166d19dd8348e196f7dda5d1"
        }
      },
      "spentTransactionId": "a6e075ae42d20d930c06764e206b925f4a24326855a6b97d2e4943ce1784adab",
      "mainChain": true
    },
    {
      "boxId": "d3f4a435fe5df282c142260752e1a5d3a8cb9e531b4f929424082594105f4f32",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 8,
      "globalIndex": 38691647,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "101904000400040004000400040005000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660040604000404040204000402050404000400040004000400040204000e20e8c5450c02658c2b9d07e43cad89414963d6bcb09218d7be4d26d00dd99a4e0304040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e208d249d5343ed0ad5f6a34c035f4cdc3e54b33ecb14ff36380f0a6cdf3a2eb302",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8d249d5343ed0ad5f6a34c035f4cdc3e54b33ecb14ff36380f0a6cdf3a2eb302"
        }
      },
      "spentTransactionId": "288b7dc852a7fdda2a4fe2e60d5d401bad711486a5133edbdf4e36e7d1a2bced",
      "mainChain": true
    },
    {
      "boxId": "9be0fde13c5dad6420dd895ea88c0355f3ca911ce799cb939479478db000132f",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 9,
      "globalIndex": 38691648,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e209ca7b72de501ababe6cdf726447497fe63612dae437fc1e3e69aaa55ae8914c2",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "9ca7b72de501ababe6cdf726447497fe63612dae437fc1e3e69aaa55ae8914c2"
        }
      },
      "spentTransactionId": "0fa7b98cd67bc8545720e207a3e2f288c786c411c117465487565f121041b611",
      "mainChain": true
    },
    {
      "boxId": "d7f5f0344d00ec47c25eb482315470784a43503f1fa0a36eefa0272a8301af5a",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 10,
      "globalIndex": 38691649,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2060b97e8766e5cd19936ba19225ec827d4af72962acf60596886dbec32c6760d2",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "60b97e8766e5cd19936ba19225ec827d4af72962acf60596886dbec32c6760d2"
        }
      },
      "spentTransactionId": "29ad31fdba80950d0fd6bfcc2350c9968b6548927a2abc334e1d41a6363fba8a",
      "mainChain": true
    },
    {
      "boxId": "dbac454e0b048c428b0e787281ebadcde258faad0bd1ca1c5cf7ebff0a611758",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 11,
      "globalIndex": 38691650,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "101904000400040004000400040005000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660040604000404040204000402050404000400040004000400040204000e20e8c5450c02658c2b9d07e43cad89414963d6bcb09218d7be4d26d00dd99a4e0304040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20dbc3c9c9d0055514b33be94d0baa712cfbbd4d539f0559d7e644b92e70db40db",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "dbc3c9c9d0055514b33be94d0baa712cfbbd4d539f0559d7e644b92e70db40db"
        }
      },
      "spentTransactionId": "41131b93f3d629e282bb489acc630ca9510d5b8288e55a4f2b4beaaa891a988b",
      "mainChain": true
    },
    {
      "boxId": "d7b8157b5d92b1fa7910ef359440a859d6be9eb5a3d250116f5ae1bd92997c51",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 12,
      "globalIndex": 38691651,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2024561a79bddd066a10f354bb8579ce2b0f0b97d1d3088205cf9f3cefe9bd069f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "24561a79bddd066a10f354bb8579ce2b0f0b97d1d3088205cf9f3cefe9bd069f"
        }
      },
      "spentTransactionId": "4615f570ea9293f8b97d1396643b1350dd8a3057611d79a1a14cfe8af08a72d3",
      "mainChain": true
    },
    {
      "boxId": "c6618b15da016b923b0b74b7b5ef1ac5a6f44d2368264b892f0a727b6c912b59",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 13,
      "globalIndex": 38691652,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20cc2998771194a889caea1c2a0abcb38556fc559708f280a2c9e90b880608a3d6",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "cc2998771194a889caea1c2a0abcb38556fc559708f280a2c9e90b880608a3d6"
        }
      },
      "spentTransactionId": "1d1d3b97dd74b9f3dbc0f9e2c39a21c6ec6ae8bd90162e2cc78d3378a60001d9",
      "mainChain": true
    },
    {
      "boxId": "6f0b36dc0ec049515c0930d948702b85658523e7ac60e2168a02d5b2713f995d",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 14,
      "globalIndex": 38691653,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20663bad1c61b82c7f35f57b6af88521b041d3afd803212ec379cb1c1d497b2c22",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "663bad1c61b82c7f35f57b6af88521b041d3afd803212ec379cb1c1d497b2c22"
        }
      },
      "spentTransactionId": "e23b19ed4dafa36a4aa10ee5791c9f047c18cba3b06ed51447cdc2df8be23b10",
      "mainChain": true
    },
    {
      "boxId": "1502eaf5a99a98c45cd570771ff0bb6fdfb2621ff57ddbb03dc079c83e227570",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 15,
      "globalIndex": 38691654,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "2Eit2LFRqu2Mo33z3pYTJRHNCPYS33MrU9QgeNcRsF9359pYMahqnLvKsHwwH72C6WDSZRj7G7WC5heVyUEawcSLSx821iJXT4xWf2F5fjVWDUskGdVdyYY5RBJnp3dfYC7iPoRNeopAFQWFwEbTieow347UhRyqvo2LntFpXzomvGwVTfq9YXS8Z1GGW5mUEioD5xC17Sz72NLbQrskSx7QZAxQTbMGh6vwM9J4q7NzRmQeHmWaHLpUHMU4Jdd5ccKumMvAY8d5C8RxB4iATySLY2N1wY84qNsWNaqkNofbUebf6LgmU9HTKAmU3nDoBfX7mhCjH8kXDhZeYdRsuLVFEYu83TkpwgHAYGmUoemxWAeA2BKMx8CBAy9jxbCyUjdnk9i7sLxuejrwLLh8W4tP81YkESjZ8BV65BhzPdvCaiX8vBSorgFfnvGKVzwfhhsSDwLY1GUwLTMLwTUTjSzEjsMX9hzsEEEmhxLsekabLmK3HZ1jssLrFryNuE59uS51hazJsi3gsT8SBk1J9YV6Dq6xto28nLqrMqK6raqLcAm2iU8hBtqdoSXqWzsrZHpqc2uLGhY52ee4k9TpFBvN1RovYUtY6KS4FncT4UgnbEFkzsnWYKX3CDn16tJs5CyZ97gKcvUonZ5EqTwabzni14CcQsTtKtEAqj1odvSyfJ94NnEjuiVPC3VmZbQvveN3bQ",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20f2e46f2673bd3f3ac486e74a518d32b7bf2390ee6df96e196a4a91e56968457c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f2e46f2673bd3f3ac486e74a518d32b7bf2390ee6df96e196a4a91e56968457c"
        }
      },
      "spentTransactionId": "069b470c36991f322149dad67bf4a7429ddad7eefd79dba7279f650de73224e3",
      "mainChain": true
    },
    {
      "boxId": "956cab02b76ed2bcd690282d78f0d46e1daa4a1a230aa3cf473c96a53f0d578c",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 16,
      "globalIndex": 38691655,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2066cf2d1589f772c8a83fac3cf1aed18cf4fa387eb74f49d74a5c6a6817c81cb3",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "66cf2d1589f772c8a83fac3cf1aed18cf4fa387eb74f49d74a5c6a6817c81cb3"
        }
      },
      "spentTransactionId": "e2af8e8db31a52095006b4b48c073fcfbdc137a26dce3a5fc176d4d2943159e8",
      "mainChain": true
    },
    {
      "boxId": "bfee3666b4f9527e0423bc00243eba9560ed99e9728d39bb23ee869cab29b748",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 17,
      "globalIndex": 38691656,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e207bc47d6130328253250d90408dc22f3ad88671688b988aff92def2d9a72d405e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7bc47d6130328253250d90408dc22f3ad88671688b988aff92def2d9a72d405e"
        }
      },
      "spentTransactionId": "678be213d16fbf07b6ce5b2f65f9901cd9894bf4a04e740ded3bd4a07b8e10d1",
      "mainChain": true
    },
    {
      "boxId": "0bae5e4ae7ee0afc6a8c882fc7c1984e0972c6e0ac13b62134fd8cdc07cbff75",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 18,
      "globalIndex": 38691657,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e209646a8fce73640809babc7cfe05c3eb0ac55c276c70aa9c36aa88cb394d313e4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "9646a8fce73640809babc7cfe05c3eb0ac55c276c70aa9c36aa88cb394d313e4"
        }
      },
      "spentTransactionId": "e10eb39ed6d596aa0919beff1888e4ce8c6f9cd198fd22ea6256a364404f6de9",
      "mainChain": true
    },
    {
      "boxId": "6c85f13c7fcb39c37c20ed38b3b8c825357eae738aa7ce568baf23b3ea3f8257",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 19,
      "globalIndex": 38691658,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20bd3bad6ce30002617e15c0d552c018816adecff18e0597fac962422190c7e6c4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bd3bad6ce30002617e15c0d552c018816adecff18e0597fac962422190c7e6c4"
        }
      },
      "spentTransactionId": "344464bfc6100006083eb7e72b2524cb01cb03428394cfca595c78ba46929300",
      "mainChain": true
    },
    {
      "boxId": "871b719f1983adccb8a8e5a3c6c5c287dd9cece4c58aae24139c50a5f3d08639",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 20,
      "globalIndex": 38691659,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20baad4116c4d4763e7760092c95b87c1a9186abe5c13b3274967886e1b2f4d49b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "baad4116c4d4763e7760092c95b87c1a9186abe5c13b3274967886e1b2f4d49b"
        }
      },
      "spentTransactionId": "a35e2ddeff2c68b5b6d5e69070ad66a95538091efd7c6aca2f152a42a0c12984",
      "mainChain": true
    },
    {
      "boxId": "ae5dc71c82d69f9147bd18f629e1b135997761105571b05e20b4027ad8bd5189",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 21,
      "globalIndex": 38691660,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20fab1e9bb8c5009ec94aac1fcc5736723dce487c7966fdbe3095ae84b464aa6dd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "fab1e9bb8c5009ec94aac1fcc5736723dce487c7966fdbe3095ae84b464aa6dd"
        }
      },
      "spentTransactionId": "5722ffc6b27c0d5b3861c9852eb8c4d4c9ba9dd0f845574f14a046fd52f88ea4",
      "mainChain": true
    },
    {
      "boxId": "0aa159c8b3ac255c21447a4303a1fc41c695a3ec3481045857edd90d84fedeb2",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 22,
      "globalIndex": 38691661,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20e65bec11df9bd84bb660a436e9eff7e12bb6a53d25548e4747c54d04a2bcd539",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e65bec11df9bd84bb660a436e9eff7e12bb6a53d25548e4747c54d04a2bcd539"
        }
      },
      "spentTransactionId": "768175a0bab3d870771ee3e4878606e5030f985ba8dd8935a1939f0571125fc4",
      "mainChain": true
    },
    {
      "boxId": "e2f4b20373c47f58f19b84c1ae636ca550c0a8b82aac27287b934abf8dc27ad0",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 23,
      "globalIndex": 38691662,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2036205e72799aa21b41afc958d0c603457e2a0b176460a2f06fde55c5896cd7bf",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "36205e72799aa21b41afc958d0c603457e2a0b176460a2f06fde55c5896cd7bf"
        }
      },
      "spentTransactionId": "65001b9b8733fdd2aaa12eea82927af62eddc36ebf54be0379643007d1b4654d",
      "mainChain": true
    },
    {
      "boxId": "1640f1e60195dacc3377645dbe4730e71e41b0dc9cc54a457b44b0112f3c7d6b",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 24,
      "globalIndex": 38691663,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "101904000400040004000400040005000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660040604000404040204000402050404000400040004000400040204000e20e8c5450c02658c2b9d07e43cad89414963d6bcb09218d7be4d26d00dd99a4e0304040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e206a98f63146359769808eaca1e41b6ca34c776d9790ea1f523262b7a47f6f7b72",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6a98f63146359769808eaca1e41b6ca34c776d9790ea1f523262b7a47f6f7b72"
        }
      },
      "spentTransactionId": "b702e56c6141e81c9a23b3bf3d7a6e058839b3702eecfe650b8757f4d8d60c1d",
      "mainChain": true
    },
    {
      "boxId": "f8d243030bb500d6dc15a76523d0a9674b7e94254bbcfe850abc72d3df303162",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 25,
      "globalIndex": 38691664,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20668d14cc2ddd6cde17e33b7305b9ca2ad2d1901b7bb8ca3797911dc5aa9e44f1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "668d14cc2ddd6cde17e33b7305b9ca2ad2d1901b7bb8ca3797911dc5aa9e44f1"
        }
      },
      "spentTransactionId": "79b9fa7423b165d33348c75ad3813b585a384b90fa46c80a7fb82fb2a8bb98dd",
      "mainChain": true
    },
    {
      "boxId": "45c113b2999479fefbc4db71d602b01a932d36d454299d6dde0b424bc8b380c9",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 26,
      "globalIndex": 38691665,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e201ddc99601073b58e099ee8b99c53c961e5002458f074af83b5fd3ee50da68936",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1ddc99601073b58e099ee8b99c53c961e5002458f074af83b5fd3ee50da68936"
        }
      },
      "spentTransactionId": "92baccb4cd80a57130d9cb6044c7c22dc8a9565978dc92d50d537e39ed9bf323",
      "mainChain": true
    },
    {
      "boxId": "2be07af0d440c8a2a8bda9561138a76322d0811e85316831d00209fd3198f0b2",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 27,
      "globalIndex": 38691666,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e203a81010e909b67deff3852d9a5a5d9335937c1c56742b4fe35fd45cfc65d8b1a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "3a81010e909b67deff3852d9a5a5d9335937c1c56742b4fe35fd45cfc65d8b1a"
        }
      },
      "spentTransactionId": "3101b81261748d202b65f1a60cb7352c2c8ec5b62e623c70879e50101bbdd26d",
      "mainChain": true
    },
    {
      "boxId": "b1ceeb337feb89b88919f164ac92bf46d7f9147d2033b715ba59871122b58634",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 28,
      "globalIndex": 38691667,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20f21fb1c26c9ba19f229c2ecaee107842b881175571d3e5d09f077dd448eec03a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f21fb1c26c9ba19f229c2ecaee107842b881175571d3e5d09f077dd448eec03a"
        }
      },
      "spentTransactionId": "ed3d2612c04cdf57c5712a41d875cec3a0783110f63de4fff68e2e2b64e50418",
      "mainChain": true
    },
    {
      "boxId": "5eb6182446673bc30872833ea4d4fe2487e6e0aed6d36004f34af191f8ad04c8",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 29,
      "globalIndex": 38691668,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2025c03fd768ea0b1957d6c90c706b5dcaa9f2ed6646a34666482e3b9c3a4a4b6d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "25c03fd768ea0b1957d6c90c706b5dcaa9f2ed6646a34666482e3b9c3a4a4b6d"
        }
      },
      "spentTransactionId": "6f6d3f76b2f0a85889d3844e5934c2227c0ffadb3dd2d84a4a0c5956051a74a9",
      "mainChain": true
    },
    {
      "boxId": "ffc024dd84040e0a5f3a3543b76b97cf4d04e45896b800a593fefa9741fb53f4",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 30,
      "globalIndex": 38691669,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "2Eit2LFRqu2Mo33z3pYTJRHNCPYS33MrU9QgeNcRsF9359pYMahqnLvKsHwwH72C6WDSZRj7G7WC5heVyUEawcSLSx821iJXT4xWf2F5fjVWDUskGdVdyYY5RBJnp3dfYC7iPoRNeopAFQWFwEbTieow347UhRyqvo2LntFpXzomvGwVTfq9YXS8Z1GGW5mUEioD5xC17Sz72NLbQrskSx7QZAxQTbMGh6vwM9J4q7NzRmQeHmWaHLpUHMU4Jdd5ccKumMvAY8d5C8RxB4iATySLY2N1wY84qNsWNaqkNofbUebf6LgmU9HTKAmU3nDoBfX7mhCjH8kXDhZeYdRsuLVFEYu83TkpwgHAYGmUoemxWAeA2BKMx8CBAy9jxbCyUjdnk9i7sLxuejrwLLh8W4tP81YkESjZ8BV65BhzPdvCaiX8vBSorgFfnvGKVzwfhhsSDwLY1GUwLTMLwTUTjSzEjsMX9hzsEEEmhxLsekabLmK3HZ1jssLrFryNuE59uS51hazJsi3gsT8SBk1J9YV6Dq6xto28nLqrMqK6raqLcAm2iU8hBtqdoSXqWzsrZHpqc2uLGhY52ee4k9TpFBvN1RovYUtY6KS4FncT4UgnbEFkzsnWYKX3CDn16tJs5CyZ97gKcvUonZ5EqTwabzni14CcQsTtKtEAqj1odvSyfJ94NnEjuiVPC3VmZbQvveN3bQ",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20fd80918bb386da1f3e8cf13178d6e80a28947f18d676bb703b1f3ab17715dc2b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "fd80918bb386da1f3e8cf13178d6e80a28947f18d676bb703b1f3ab17715dc2b"
        }
      },
      "spentTransactionId": "0cbb083610eb857eaf8751395a6c656cfe481c65e2183a00bd01f5c02e43c533",
      "mainChain": true
    },
    {
      "boxId": "4405e638ed45e36de14becdcbe87cb240a93fecdce6e7f2b71e9e8caaeb0187e",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 31,
      "globalIndex": 38691670,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e201682e2e0612780cd9d401b0de8ab76ceee4a07e58ac6ff350c14fb13ce9d7905",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1682e2e0612780cd9d401b0de8ab76ceee4a07e58ac6ff350c14fb13ce9d7905"
        }
      },
      "spentTransactionId": "9dbd83569a5f664a6f97f39b78664920d175c83b2c55cd134ef994bbffae4c9a",
      "mainChain": true
    },
    {
      "boxId": "92d82272dd2dcf38eb409f27db477391031675c0b7b88fdcae6b07f698ced3ba",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 32,
      "globalIndex": 38691671,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "2Eit2LFRqu2Mo33z3pYTJRHNCPYS33MrU9QgeNcRsF9359pYMahqnLvKsHwwH72C6WDSZRj7G7WC5heVyUEawcSLSx821iJXT4xWf2F5fjVWDUskGdVdyYY5RBJnp3dfYC7iPoRNeopAFQWFwEbTieow347UhRyqvo2LntFpXzomvGwVTfq9YXS8Z1GGW5mUEioD5xC17Sz72NLbQrskSx7QZAxQTbMGh6vwM9J4q7NzRmQeHmWaHLpUHMU4Jdd5ccKumMvAY8d5C8RxB4iATySLY2N1wY84qNsWNaqkNofbUebf6LgmU9HTKAmU3nDoBfX7mhCjH8kXDhZeYdRsuLVFEYu83TkpwgHAYGmUoemxWAeA2BKMx8CBAy9jxbCyUjdnk9i7sLxuejrwLLh8W4tP81YkESjZ8BV65BhzPdvCaiX8vBSorgFfnvGKVzwfhhsSDwLY1GUwLTMLwTUTjSzEjsMX9hzsEEEmhxLsekabLmK3HZ1jssLrFryNuE59uS51hazJsi3gsT8SBk1J9YV6Dq6xto28nLqrMqK6raqLcAm2iU8hBtqdoSXqWzsrZHpqc2uLGhY52ee4k9TpFBvN1RovYUtY6KS4FncT4UgnbEFkzsnWYKX3CDn16tJs5CyZ97gKcvUonZ5EqTwabzni14CcQsTtKtEAqj1odvSyfJ94NnEjuiVPC3VmZbQvveN3bQ",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20bb096d882124bd914b6299ff9fb34b6d0af312f329a8f4cebf770bf5203f8c71",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bb096d882124bd914b6299ff9fb34b6d0af312f329a8f4cebf770bf5203f8c71"
        }
      },
      "spentTransactionId": "11f8a0b221819dba3fd4e4bf2ece09d4bac086b07d3c2d31031bffe8d0fb72f7",
      "mainChain": true
    },
    {
      "boxId": "ee84d0cfb39c0cd6795705e35e6a7c38eb10068e9b33f37c1345ad151dcee05a",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 33,
      "globalIndex": 38691672,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20b6f24f92129c8523aae0fde768544657a13a368e921bacdb7b73311bd1321d73",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b6f24f92129c8523aae0fde768544657a13a368e921bacdb7b73311bd1321d73"
        }
      },
      "spentTransactionId": "aef1c58f00e073ea161deedff163d19ecacc537ab51b88cf51d86701b48a37b9",
      "mainChain": true
    },
    {
      "boxId": "5335f9f071c10e6da3caca5b1851bcc70795fd94b3243ba18b83e34a6a59fd5f",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 34,
      "globalIndex": 38691673,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "2Eit2LFRqu2Mo33z3pYTJRHNCPYS33MrU9QgeNcRsF9359pYMahqnLvKsHwwH72C6WDSZRj7G7WC5heVyUEawcSLSx821iJXT4xWf2F5fjVWDUskGdVdyYY5RBJnp3dfYC7iPoRNeopAFQWFwEbTieow347UhRyqvo2LntFpXzomvGwVTfq9YXS8Z1GGW5mUEioD5xC17Sz72NLbQrskSx7QZAxQTbMGh6vwM9J4q7NzRmQeHmWaHLpUHMU4Jdd5ccKumMvAY8d5C8RxB4iATySLY2N1wY84qNsWNaqkNofbUebf6LgmU9HTKAmU3nDoBfX7mhCjH8kXDhZeYdRsuLVFEYu83TkpwgHAYGmUoemxWAeA2BKMx8CBAy9jxbCyUjdnk9i7sLxuejrwLLh8W4tP81YkESjZ8BV65BhzPdvCaiX8vBSorgFfnvGKVzwfhhsSDwLY1GUwLTMLwTUTjSzEjsMX9hzsEEEmhxLsekabLmK3HZ1jssLrFryNuE59uS51hazJsi3gsT8SBk1J9YV6Dq6xto28nLqrMqK6raqLcAm2iU8hBtqdoSXqWzsrZHpqc2uLGhY52ee4k9TpFBvN1RovYUtY6KS4FncT4UgnbEFkzsnWYKX3CDn16tJs5CyZ97gKcvUonZ5EqTwabzni14CcQsTtKtEAqj1odvSyfJ94NnEjuiVPC3VmZbQvveN3bQ",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20739d1860890b0dc708cfbfc0acc4de4e8315e0a8275fb1d3c2f792f63517c613",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "739d1860890b0dc708cfbfc0acc4de4e8315e0a8275fb1d3c2f792f63517c613"
        }
      },
      "spentTransactionId": "b7f9a053108677090d5d60f6664ba61f40304695988c432af1deee42b720b69e",
      "mainChain": true
    },
    {
      "boxId": "0938ee1e64e1cacdfad637e12e9809348404324433d2140fc952838beb007902",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 35,
      "globalIndex": 38691674,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e209b6ef2031f382c409fed8f4217439815287d5d378733242c568734fe998da971",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "9b6ef2031f382c409fed8f4217439815287d5d378733242c568734fe998da971"
        }
      },
      "spentTransactionId": "3d89dd38694664efd34648845ca2cc57ff28c71af3ded5ef3996952daffc16f6",
      "mainChain": true
    },
    {
      "boxId": "a9a9725a027c01261a833cea9e560e9ecc6cc15bb2950bfe113d091127e17c74",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 36,
      "globalIndex": 38691675,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20f827876bff7e26ffc4c01e5e535502ba9a8196fbc43c79d63043759d96b7ffca",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f827876bff7e26ffc4c01e5e535502ba9a8196fbc43c79d63043759d96b7ffca"
        }
      },
      "spentTransactionId": "156113030fd753110acc143a56f540ad9e2da84429f7e3f0e97d5c8de78d7bc9",
      "mainChain": true
    },
    {
      "boxId": "bd5c309957098ad7b6659644c10f7de6963d50af8a66c4e35df35586e1cb94da",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 37,
      "globalIndex": 38691676,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20dda2944bbe4a94c1c42cf7a875cf16ae628900cd57c489d09c1cef8e8b0fd186",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "dda2944bbe4a94c1c42cf7a875cf16ae628900cd57c489d09c1cef8e8b0fd186"
        }
      },
      "spentTransactionId": "81d15c55d4f0c78c85631c8488d3d8ffd02d90f2063df47dfb6476b6895775bf",
      "mainChain": true
    },
    {
      "boxId": "37b8341a2075d7f72402e2df97b245fb8a89e2eeda327fdafc960e691175cd4f",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 38,
      "globalIndex": 38691677,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e202cfaaa2bafe830528d2b204c91b8bdff50999df9a9a0e2c27b2c42554a91cd2b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2cfaaa2bafe830528d2b204c91b8bdff50999df9a9a0e2c27b2c42554a91cd2b"
        }
      },
      "spentTransactionId": "8191f049ae3b30da598b23a9fac95cd34e409788e53626857f20fb2300502b8c",
      "mainChain": true
    },
    {
      "boxId": "8e05968d706c6dd81d68cbcd608c64aa5c09b3eae5053ccae2d95ed96f588969",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 39,
      "globalIndex": 38691678,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "101904000400040004000400040005000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660040604000404040204000402050404000400040004000400040204000e20e8c5450c02658c2b9d07e43cad89414963d6bcb09218d7be4d26d00dd99a4e0304040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e205f3ebc8b1f39374e2a78d4f6608a3c49ba816392501df9209976c9ad8091fe97",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5f3ebc8b1f39374e2a78d4f6608a3c49ba816392501df9209976c9ad8091fe97"
        }
      },
      "spentTransactionId": "3d72c97ee2c53ce9aec3f24d0032671430d021601cac11213e858248be4d5c7f",
      "mainChain": true
    },
    {
      "boxId": "98f1f525aa86de52bdcf25ef79bb24726fe4d9c91da51a7fad92812c30f74e52",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 40,
      "globalIndex": 38691679,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e200d9491b31d1dab5909f40011bcc9581ba8d8df1ebcb5a31077568f5c36855664",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0d9491b31d1dab5909f40011bcc9581ba8d8df1ebcb5a31077568f5c36855664"
        }
      },
      "spentTransactionId": "4d31cbd5d1a07169b3dff8b8718b1a52ad4a20135feeb3d9103cea39af7fa77f",
      "mainChain": true
    },
    {
      "boxId": "3ace0ba6ff3d8a3008f0365b1fba43b5011ebb68ccd460408e2a513b0e8a5f44",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 41,
      "globalIndex": 38691680,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "2Eit2LFRqu2Mo33z3pYTJRHNCPYS33MrU9QgeNcRsF9359pYMahqnLvKsHwwH72C6WDSZRj7G7WC5heVyUEawcSLSx821iJXT4xWf2F5fjVWDUskGdVdyYY5RBJnp3dfYC7iPoRNeopAFQWFwEbTieow347UhRyqvo2LntFpXzomvGwVTfq9YXS8Z1GGW5mUEioD5xC17Sz72NLbQrskSx7QZAxQTbMGh6vwM9J4q7NzRmQeHmWaHLpUHMU4Jdd5ccKumMvAY8d5C8RxB4iATySLY2N1wY84qNsWNaqkNofbUebf6LgmU9HTKAmU3nDoBfX7mhCjH8kXDhZeYdRsuLVFEYu83TkpwgHAYGmUoemxWAeA2BKMx8CBAy9jxbCyUjdnk9i7sLxuejrwLLh8W4tP81YkESjZ8BV65BhzPdvCaiX8vBSorgFfnvGKVzwfhhsSDwLY1GUwLTMLwTUTjSzEjsMX9hzsEEEmhxLsekabLmK3HZ1jssLrFryNuE59uS51hazJsi3gsT8SBk1J9YV6Dq6xto28nLqrMqK6raqLcAm2iU8hBtqdoSXqWzsrZHpqc2uLGhY52ee4k9TpFBvN1RovYUtY6KS4FncT4UgnbEFkzsnWYKX3CDn16tJs5CyZ97gKcvUonZ5EqTwabzni14CcQsTtKtEAqj1odvSyfJ94NnEjuiVPC3VmZbQvveN3bQ",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20676e2606758592a5d4bb61ffb0659babef6850219b6cdd42cd631d2c31bc3c7b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "676e2606758592a5d4bb61ffb0659babef6850219b6cdd42cd631d2c31bc3c7b"
        }
      },
      "spentTransactionId": "e48c44bbccfed7e5c0860733bb87a110cac2d2f570dcb2537405fdc7c9251af3",
      "mainChain": true
    },
    {
      "boxId": "a92cb11e6a03b319fcb6a3e526f08ed67d242eeb8b06ef1c5277e537ad100d42",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 42,
      "globalIndex": 38691681,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2014a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "14a952b5ac6ff89703754a6b97e323dd194b3edebc58569dcfe7ec1f49665d5d"
        }
      },
      "spentTransactionId": "03ac22bd8e7960938611c7a786c0bab9512aa20a73893e98364951eecdcec7b7",
      "mainChain": true
    },
    {
      "boxId": "741054a4fdc7a668f775d8591d90e31fbecf09cb6289aebcbf6e1c3f91f9a393",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 43,
      "globalIndex": 38691682,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "101904000400040004000400040005000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660040604000404040204000402050404000400040004000400040204000e20e8c5450c02658c2b9d07e43cad89414963d6bcb09218d7be4d26d00dd99a4e0304040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20813776fdc861ec3ab84506c0739867f4760d4b2748c7d7e917f55cd876232262",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "813776fdc861ec3ab84506c0739867f4760d4b2748c7d7e917f55cd876232262"
        }
      },
      "spentTransactionId": "d076bb879874e44f56980917dba4aed69f7f8edc9cae4b09302e724cb4fd0c43",
      "mainChain": true
    },
    {
      "boxId": "276ee7282fbb0c1b55d9bb9d6c56c7f6559cb7fe9af28d2f444de1592a9cad57",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 44,
      "globalIndex": 38691683,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e208c2a6503b6480ef984b67f085cfdc87b7d29003726ce9e4e726e3f1cf290c054",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8c2a6503b6480ef984b67f085cfdc87b7d29003726ce9e4e726e3f1cf290c054"
        }
      },
      "spentTransactionId": "4a8d1e965f0f5f17cd9cca3366149effbeea7d484d540f0f9aa9621147666322",
      "mainChain": true
    },
    {
      "boxId": "a41b08e2d37d2dc64a03f47bdb477d0e9d68f875612dc0dbb49e20417dead2e4",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 45,
      "globalIndex": 38691684,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20a4519b89da8f9b667e60508ba8e130555c9ee095d543e867f5048c33a2273a28",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a4519b89da8f9b667e60508ba8e130555c9ee095d543e867f5048c33a2273a28"
        }
      },
      "spentTransactionId": "07ce4136656c9d802be8e5222a1e9d942079fc3f550f9f5e0a5c71f985b241b3",
      "mainChain": true
    },
    {
      "boxId": "194069c44092c40513d7369a8c81505e301c802d10b4802ac1ca713f64cd6beb",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 46,
      "globalIndex": 38691685,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20afdf1813b7ade06cc3446ddf0f62b2f60bfda6f548f2d7f62363906a9bbead61",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "afdf1813b7ade06cc3446ddf0f62b2f60bfda6f548f2d7f62363906a9bbead61"
        }
      },
      "spentTransactionId": "a31345a3b444fb54cdd04928ae081477011cd1d9ca13c764a4aa3c7da87dbecc",
      "mainChain": true
    },
    {
      "boxId": "f6ce18259e6f32e5814e4f5f436cfa092d6a07c9a5e1b6a9b211bfd2137254c3",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1968958,
      "index": 47,
      "globalIndex": 38691686,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e202fc089936114823aafbfb605e317ae8aa01a6d67182910edd02fe97808afacd2",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2fc089936114823aafbfb605e317ae8aa01a6d67182910edd02fe97808afacd2"
        }
      },
      "spentTransactionId": "d0c66910cc396e428fd315b9b61c1ac18a57846ec55a5ffb0b3a4fdf7f9b879a",
      "mainChain": true
    },
    {
      "boxId": "9cd3fb93b26817f0897d66fc0a323598827c4653dc66bd56b13d3c0f3ecfecb1",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 2000000,
      "index": 48,
      "globalIndex": 38691687,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20c8b7a0adb357b827947629276a7c87a715261d7672fb2c3d7d79da9a66bd3962",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c8b7a0adb357b827947629276a7c87a715261d7672fb2c3d7d79da9a66bd3962"
        }
      },
      "spentTransactionId": "f6593d16bb0d8a1480300588c0be88655b61f7a22cebfaa9a3225e693d8a0090",
      "mainChain": true
    },
    {
      "boxId": "e41ceccbbc1de74eb494a819146e9d64a5199d625657d58d8cfa5c2eaf2fd1d9",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 2000000,
      "index": 49,
      "globalIndex": 38691688,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20b97e0b376b0fc040280d09fcb01a2df3197adca29169647b16e41fc032932ea8",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b97e0b376b0fc040280d09fcb01a2df3197adca29169647b16e41fc032932ea8"
        }
      },
      "spentTransactionId": "f9f06c83c25f6d8e6bd9f6e27538b284132d70aa52e0cdd8f608298d926b8c2c",
      "mainChain": true
    },
    {
      "boxId": "c39b63f559547da200c8bd92e7e1d90a5b53beca939ad73a0b327f0151024511",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 2000000,
      "index": 50,
      "globalIndex": 38691689,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e200c941df9f5037424d51d26ba6922a7b5ef25f89d43fbd686482024c1041c3b71",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0c941df9f5037424d51d26ba6922a7b5ef25f89d43fbd686482024c1041c3b71"
        }
      },
      "spentTransactionId": "3ccc83966cc62b7034b28c1e131bb3fde5483cc77348442a6d0c66f2dba15669",
      "mainChain": true
    },
    {
      "boxId": "3ad196bf8e726015529d42ac3313d837901852754ec30b4d296d0e3c571d92a0",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 2000000,
      "index": 51,
      "globalIndex": 38691690,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20ea1a8d48ebf6ce2f907d0a2c235bd03382170fb417a23fa52e8ca40aedb6692c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ea1a8d48ebf6ce2f907d0a2c235bd03382170fb417a23fa52e8ca40aedb6692c"
        }
      },
      "spentTransactionId": "436844897eab585538975e03fd9904433cc490a5f62f9789372a4f74edf2c713",
      "mainChain": true
    },
    {
      "boxId": "d97ca1932903910807c906d01f9973931665f9a7de1261cc5d4c73a0f7b33ed1",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 2000000,
      "index": 52,
      "globalIndex": 38691691,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2094cb08d7d7d4fa8c7a73bdecb7d658438442366c3c6f4f7214d43c5df2a05cae",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "94cb08d7d7d4fa8c7a73bdecb7d658438442366c3c6f4f7214d43c5df2a05cae"
        }
      },
      "spentTransactionId": "7c38c6ac62557c96372a8bdf3c030139397ac73dc947783e0ec5c4d2e335c975",
      "mainChain": true
    },
    {
      "boxId": "a044e2ca51962f53fadee7461921290d7864b4a9f8f5d4b8779ce69e2fe0d6fd",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 2000000,
      "index": 53,
      "globalIndex": 38691692,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e202c8067c785e1cf655336267573e8e5071143bc401fed2bbf5919c8fd56f9aca9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2c8067c785e1cf655336267573e8e5071143bc401fed2bbf5919c8fd56f9aca9"
        }
      },
      "spentTransactionId": "e2449c01aa26ba086ddc826540636a3c79f7f3013f10b8de206ba0e9cffbd092",
      "mainChain": true
    },
    {
      "boxId": "f34eb9027de0cbd271a392abbeaf2a7e31ed41a9ccd030b2705777a5879fa8af",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 2000000,
      "index": 54,
      "globalIndex": 38691693,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e200a07463bb0fae203cb86e2d883d7234286ceb86674d778469dd9ba1b966ad2c0",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0a07463bb0fae203cb86e2d883d7234286ceb86674d778469dd9ba1b966ad2c0"
        }
      },
      "spentTransactionId": "b6869ef4ada582ddae0366f0a8d39054edbae81a603a851cfde0935f2d1c27ea",
      "mainChain": true
    },
    {
      "boxId": "c4cb791db5085df404431eeabcd5dc8909d381f72ef1fe18da90ceefc5eae1b1",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 2000000,
      "index": 55,
      "globalIndex": 38691694,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "2Eit2LFRqu2Mo33z3pYTJRHNCPYS33MrU9QgeNcRsF9359pYMahqnLvKsHwwH72C6WDSZRj7G7WC5heVyUEawcSLSx821iJXT4xWf2F5fjVWDUskGdVdyYY5RBJnp3dfYC7iPoRNeopAFQWFwEbTieow347UhRyqvo2LntFpXzomvGwVTfq9YXS8Z1GGW5mUEioD5xC17Sz72NLbQrskSx7QZAxQTbMGh6vwM9J4q7NzRmQeHmWaHLpUHMU4Jdd5ccKumMvAY8d5C8RxB4iATySLY2N1wY84qNsWNaqkNofbUebf6LgmU9HTKAmU3nDoBfX7mhCjH8kXDhZeYdRsuLVFEYu83TkpwgHAYGmUoemxWAeA2BKMx8CBAy9jxbCyUjdnk9i7sLxuejrwLLh8W4tP81YkESjZ8BV65BhzPdvCaiX8vBSorgFfnvGKVzwfhhsSDwLY1GUwLTMLwTUTjSzEjsMX9hzsEEEmhxLsekabLmK3HZ1jssLrFryNuE59uS51hazJsi3gsT8SBk1J9YV6Dq6xto28nLqrMqK6raqLcAm2iU8hBtqdoSXqWzsrZHpqc2uLGhY52ee4k9TpFBvN1RovYUtY6KS4FncT4UgnbEFkzsnWYKX3CDn16tJs5CyZ97gKcvUonZ5EqTwabzni14CcQsTtKtEAqj1odvSyfJ94NnEjuiVPC3VmZbQvveN3bQ",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e202cff108ab0b917e019171f059330ba7b3a05c4fdeeade47383f5892cbee92259",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2cff108ab0b917e019171f059330ba7b3a05c4fdeeade47383f5892cbee92259"
        }
      },
      "spentTransactionId": "270d6055934ad92d8e8d05d39678d211ffeceb17d69c77c30bb667a729fbd668",
      "mainChain": true
    },
    {
      "boxId": "2b13787ca9c8e0b55e4cf247cfebcd8d5c44de66f2b0bf0b91a34f931d812adb",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 2000000,
      "index": 56,
      "globalIndex": 38691695,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2031dc30f0a547a719f65be0d6fd8cbc025d4a913bff66791f609413c1bd0b94c9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "31dc30f0a547a719f65be0d6fd8cbc025d4a913bff66791f609413c1bd0b94c9"
        }
      },
      "spentTransactionId": "5d9b745eb895b2f0307fa45cfe55849e10b98ebd1137c5c4fc04a551420b6027",
      "mainChain": true
    },
    {
      "boxId": "5587e18e1af06ed9b56d29388312ab2bdd7b371beb3ce68933dbc79ebec75c82",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 2000000,
      "index": 57,
      "globalIndex": 38691696,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e204345ccef6237ba582470546c3b4ad7d086aeec8937a0da227542667cfaf9cd30",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4345ccef6237ba582470546c3b4ad7d086aeec8937a0da227542667cfaf9cd30"
        }
      },
      "spentTransactionId": "c813a80c10124158a86cb04ad46afda27c3cf61d436bcf9f915dc71cf26d4330",
      "mainChain": true
    },
    {
      "boxId": "39006bc87df549a981aaa197d93bb2742cf61b8c2ce3f73947556a5b7ee81d70",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 2000000,
      "index": 58,
      "globalIndex": 38691697,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20669dc98c690560eaaca8bae1b080f8b57ea6e0a9be15a63c4327a61f5ae643d3",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "669dc98c690560eaaca8bae1b080f8b57ea6e0a9be15a63c4327a61f5ae643d3"
        }
      },
      "spentTransactionId": "9efc789b27ca85f2d187df81fa08dcd9bef186cacdcf77ef4cb074c54ab953dc",
      "mainChain": true
    },
    {
      "boxId": "239ce6562ee2d447d6fc6d12bff69fc08c9b030d1276dddb3b153f31c32d208b",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 2000000,
      "index": 59,
      "globalIndex": 38691698,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "101904000400040004000400040005000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c7660040604000404040204000402050404000400040004000400040204000e20e8c5450c02658c2b9d07e43cad89414963d6bcb09218d7be4d26d00dd99a4e0304040400d806d601b2a5730000d602db63087201d603b27202730100d6048c720301d605e4c6a7040ed606b0adb5a4d9010663d801d608db63087206eded91b172087302938cb27208730300018cb2db6308a77304000193c27206c2a7d90106638cb2db63087206730500027306d90106599a8c7206018c720602959372047307d804d607b2db6308b2a4730800730900d608b2a5730a00d609db63087208d60a998cb27202730b00028cb2db6308b2a4730c00730d0002d196830301938c7207017205928c720702730e95ed91b17209730f938cb27209731000018cb2db6308a7731100019683030193997206720a8cb272097312000293c27208c2a7937205e4c67208040e937206720ad804d6078cb2db6308a773130001d608b2a5731400d609b2db63087208731500d60ac2a7d196830b019372047207938c7209029972068c720302938c720901720793cbc272087316e6c67208050ee6c67208060e93e4c67208070ecb720a93e4c67208040e720593c27201720a93e4c67201040e7205938cb2db6308b2a5731700731800017205",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "2Eit2LFRqu2Mo33z3pYTJRHNCPYS33MrU9QgeNcRsF9359pYMahqnLvKsHwwH72C6WDSZRj7G7WC5heVyUEawcSLSx821iJXT4xWf2F5fjVWDUskGdVdyYY5RBJnp3dfYC7iPoRNeopAFQWFwEbTieow347UhRyqvo2LntFpXzomvGwVTfq9YXS8Z1GGW5mUEioD5xC17Sz72NLbQrskSx7QZAxQTbMGh6vwM9J4q7NzRmQeHmWaHLpUHMU4Jdd5ccKumMvAY8d5C8RxB4iATySLY2N1wY84qNsWNaqkNofbUebf6LgmU9HTKAmU3nDoBfX7mhCjH8kXDhZeYdRsuLVFEYu83TkpwgHAYGmUoemxWAeA2BKMx8CBAy9jxbCyUjdnk9i7sLxuejrwLLh8W4tP81YkESjZ8BV65BhzPdvCaiX8vBSorgFfnvGKVzwfhhsSDwLY1GUwLTMLwTUTjSzEjsMX9hzsEEEmhxLsekabLmK3HZ1jssLrFryNuE59uS51hazJsi3gsT8SBk1J9YV6Dq6xto28nLqrMqK6raqLcAm2iU8hBtqdoSXqWzsrZHpqc2uLGhY52ee4k9TpFBvN1RovYUtY6KS4FncT4UgnbEFkzsnWYKX3CDn16tJs5CyZ97gKcvUonZ5EqTwabzni14CcQsTtKtEAqj1odvSyfJ94NnEjuiVPC3VmZbQvveN3bQ",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2048a17bba268c94ea3deb5bbee88e887e96f8b616e7c20de563875b5731b72dd9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "48a17bba268c94ea3deb5bbee88e887e96f8b616e7c20de563875b5731b72dd9"
        }
      },
      "spentTransactionId": "42dc919dcb1c3ee066e407d8e623a2ed999c00b7171e33ad6066ca6575b0908a",
      "mainChain": true
    },
    {
      "boxId": "6ec0e9f7d0eafec4e8f45da5a4b8ebecc7f40f348ef8cbbb3056bdaccd53fbb4",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 2000000,
      "index": 60,
      "globalIndex": 38691699,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-20,-89,119,111,93,-19,-39,-17,35,-127,6,-31,81,-16,-22,-8,-79,-93,8,25,10,46,-27,-106,82,-20,-21,40,6,-116,118,96)\n8: 3\n9: 0\n10: 2\n11: 1\n12: 0\n13: 1\n14: 2\n15: 0\n16: 0\n17: 0\n18: 0\n19: 0\n20: 1\n21: 0\n22: Coll(-24,-59,69,12,2,101,-116,43,-99,7,-28,60,-83,-119,65,73,99,-42,-68,-80,-110,24,-41,-66,77,38,-48,13,-39,-102,78,3)\n23: 2\n24: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val coll4 = tuple3._1\n  val coll5 = SELF.R4[Coll[Byte]].get\n  val l6 = INPUTS.filter({(box6: Box) =>\n      val coll8 = box6.tokens\n      ((coll8.size > placeholder[Int](2)) && (coll8(placeholder[Int](3))._1 == SELF.tokens(placeholder[Int](4))._1)) && (box6.propositionBytes == SELF.propositionBytes)\n    }).map({(box6: Box) => box6.tokens(placeholder[Int](5))._2 }).fold(placeholder[Long](6), {(tuple6: (Long, Long)) => tuple6._1 + tuple6._2 })\n  if (coll4 == placeholder[Coll[Byte]](7)) {(\n    val tuple7 = INPUTS(placeholder[Int](8)).tokens(placeholder[Int](9))\n    val box8 = OUTPUTS(placeholder[Int](10))\n    val coll9 = box8.tokens\n    val l10 = coll2(placeholder[Int](11))._2 - INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._2\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          tuple7._1 == coll5, tuple7._2 >= placeholder[Long](14), if ((coll9.size > placeholder[Int](15)) && (\n            coll9(placeholder[Int](16))._1 == SELF.tokens(placeholder[Int](17))._1\n          )) {\n            allOf(Coll[Boolean](l6 - l10 == coll9(placeholder[Int](18))._2, box8.propositionBytes == SELF.propositionBytes, coll5 == box8.R4[Coll[Byte]].get))\n          } else { l6 == l10 }\n        )\n      )\n    )\n  )} else {(\n    val coll7 = SELF.tokens(placeholder[Int](19))._1\n    val box8 = OUTPUTS(placeholder[Int](20))\n    val tuple9 = box8.tokens(placeholder[Int](21))\n    val coll10 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll4 == coll7, tuple9._2 == l6 - tuple3._2, tuple9._1 == coll7, blake2b256(box8.propositionBytes) == placeholder[Coll[Byte]](22), box8.R5[\n            Coll[Byte]\n          ].isDefined, box8.R6[Coll[Byte]].isDefined, box8.R7[Coll[Byte]].get == blake2b256(coll10), box8.R4[\n            Coll[Byte]\n          ].get == coll5, box1.propositionBytes == coll10, box1.R4[Coll[Byte]].get == coll5, OUTPUTS(placeholder[Int](23)).tokens(\n            placeholder[Int](24)\n          )._1 == coll5\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "ddb335d2b4f3764ddeae8411a14bec97f94d0057628bb96f98da9d95e74d02bc",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 997,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20fdcc8cd645392188bd37960f1afd7e1e2cb6a089af3be6c5b8d54924daf5cabe",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "fdcc8cd645392188bd37960f1afd7e1e2cb6a089af3be6c5b8d54924daf5cabe"
        }
      },
      "spentTransactionId": "40451abfba590899d16616cf95a03cfb9564ac6b40d39db2060df7d38f2bb85e",
      "mainChain": true
    },
    {
      "boxId": "b8b16084c3ae4bf245664f5ab723fcc7ce90d8a88a634fd611798ea0d5c55835",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 5208633334,
      "index": 61,
      "globalIndex": 38691700,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 6\n1: SigmaProp(ProveDlog(ECPoint(184ade,6460f0,...)))\n2: SigmaProp(ProveDlog(ECPoint(5568b8,d8af32,...)))\n3: SigmaProp(ProveDlog(ECPoint(b4948f,68b94a,...)))\n4: SigmaProp(ProveDlog(ECPoint(e23ebd,6a38ff,...)))\n5: SigmaProp(ProveDlog(ECPoint(e5dbac,32b186,...)))\n6: SigmaProp(ProveDlog(ECPoint(416af7,1d249e,...)))\n7: SigmaProp(ProveDlog(ECPoint(7c4e02,e1aeee,...)))\n8: SigmaProp(ProveDlog(ECPoint(938056,c6c543,...)))\n9: SigmaProp(ProveDlog(ECPoint(d3c8f1,1e42df,...)))\n10: SigmaProp(ProveDlog(ECPoint(d5aa4e,d44a7d,...)))",
      "ergoTreeScript": "{atLeast(\n  placeholder[Int](0), Coll[SigmaProp](\n    placeholder[SigmaProp](1), placeholder[SigmaProp](2), placeholder[SigmaProp](3), placeholder[SigmaProp](4), placeholder[SigmaProp](5), placeholder[\n      SigmaProp\n    ](6), placeholder[SigmaProp](7), placeholder[SigmaProp](8), placeholder[SigmaProp](9), placeholder[SigmaProp](10)\n  )\n)}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "4cb607dcd61f22a225d23bac3cba483b19e101e6f11201edeb217f0e9827d565",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 300000,
      "index": 62,
      "globalIndex": 38691701,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 6\n1: SigmaProp(ProveDlog(ECPoint(596283,8442e2,...)))\n2: SigmaProp(ProveDlog(ECPoint(9a1787,13df4d,...)))\n3: SigmaProp(ProveDlog(ECPoint(6f0abe,f24735,...)))\n4: SigmaProp(ProveDlog(ECPoint(37c2ac,9853ba,...)))\n5: SigmaProp(ProveDlog(ECPoint(3a97ce,34c46c,...)))\n6: SigmaProp(ProveDlog(ECPoint(5a2369,a6e355,...)))\n7: SigmaProp(ProveDlog(ECPoint(7631ef,bd24b8,...)))\n8: SigmaProp(ProveDlog(ECPoint(a3c11c,855bc5,...)))\n9: SigmaProp(ProveDlog(ECPoint(f3c19c,e3a122,...)))\n10: SigmaProp(ProveDlog(ECPoint(fefff9,fecf6f,...)))",
      "ergoTreeScript": "{atLeast(\n  placeholder[Int](0), Coll[SigmaProp](\n    placeholder[SigmaProp](1), placeholder[SigmaProp](2), placeholder[SigmaProp](3), placeholder[SigmaProp](4), placeholder[SigmaProp](5), placeholder[\n      SigmaProp\n    ](6), placeholder[SigmaProp](7), placeholder[SigmaProp](8), placeholder[SigmaProp](9), placeholder[SigmaProp](10)\n  )\n)}",
      "address": "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",
      "assets": [
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 0,
          "amount": 26094,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "1bf019005d1670a116107a7dde656b1190c91b09691f1077323b0c7146f1fd45",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 207300000,
      "index": 63,
      "globalIndex": 38691702,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "0008cd03b1a7c9c96b492460a840b5cc5d90018f456c865edd298dd00ba9b94406e60100",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b1a7c9,2e70cc,...)))}",
      "address": "9hp3fH6LkT5tkKqrYUXX4J2D1TEYcBht62RhU6EXnSXCdrBH5jQ",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "02ddcee19d6240832dbf7e6ce918e0fc6d179e7c39e7d00c374ee08a894eb108",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1000784966666,
      "index": 64,
      "globalIndex": 38691703,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "0008cd0245b6f96980731996120d00b494fc8e450997a541b2b487c044b162b79b63395c",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(45b6f9,d431cd,...)))}",
      "address": "9f3mHTZR4pk1AhYVsRjQJUZLHgmwTd3SMKeEu7N6yWtcVH3EnVH",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "b6dfc8088e3185c8b94ec7c18b3f4f24e07e51a07902a4c5c7820061ab48ba93",
      "mainChain": true
    },
    {
      "boxId": "2a00d2bea6a4b75abf4733434437c3c21ae2b26d6ce9f4a1267dadef09f8dc65",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 799248051861965,
      "index": 65,
      "globalIndex": 38691704,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "ergoTree": "100304000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350400d801d601b2db6501fe730000ea02d1aedb63087201d901024d0e938c720201730198b2e4c672010510730200ade4c67201041ad901020ecdee7202",
      "ergoTreeConstants": "0: 0\n1: Coll(85,-65,-103,59,67,118,-70,19,34,100,-48,-124,-16,111,-32,51,50,26,-76,60,104,-37,20,53,-96,-25,-32,-65,119,-35,-73,53)\n2: 0",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  sigmaProp(box1.tokens.exists({(tuple2: (Coll[Byte], Long)) => tuple2._1 == placeholder[Coll[Byte]](1) })) && atLeast(\n    box1.R5[Coll[Int]].get(placeholder[Int](2)), box1.R4[Coll[Coll[Byte]]].get.map({(coll2: Coll[Byte]) => proveDlog(decodePoint(coll2)) })\n  )\n}",
      "address": "nB3L2PD3J4rMmyGk7nnNdESpPXxhPRQ4t1chF8LTXtceMQjKCEgL2pFjPY6cehGjyEFZyHEomBTFXZyqfonvxDozrTtK5JzatD8SdmcPeJNWPvdRb5UxEMXE4WQtpAFzt2veT8Z6bmoWN",
      "assets": [
        {
          "tokenId": "e023c5f382b6e96fbd878f6811aac73345489032157ad5affb84aefd4956c297",
          "index": 0,
          "amount": 936718149659,
          "name": "rsADA",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 1,
          "amount": 51007285356,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "9a06d9e545a41fd51eeffc5e20d818073bf820c635e2a9d922269913e0de369d",
          "index": 2,
          "amount": 42730356,
          "name": "SPF",
          "decimals": 6,
          "type": "EIP-004"
        },
        {
          "tokenId": "6ad70cdbf928a2bdd397041a36a5c2490a35beb4d20eabb5666f004b103c7189",
          "index": 3,
          "amount": 99153829745070,
          "name": "rsHOSKY",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
          "index": 4,
          "amount": 53506534,
          "name": "COMET",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "a37c7bf182628c7533614f40cece2594d564558990127cdc79219f082b6095fb",
          "index": 5,
          "amount": 5000000000000000,
          "name": "Mint",
          "decimals": 8,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "e6c5969e83f082d2e1abf870b68432b7527bff1a4219e35400735ce54a6efebe",
      "mainChain": true
    },
    {
      "boxId": "9030ff0c83a1d616cf65fb7659704a3cb56237d14e6b748c7ec914f0a5de00d9",
      "transactionId": "e822071010f7ffd702f55e44c16e24ade9aa42ae2b5fd620dcffb669083fb8aa",
      "blockId": "bdcdf7f00e5a9d09c9cd5088155a85e3e88129deb68bb4ab88e410ecc31688f6",
      "value": 1100000,
      "index": 66,
      "globalIndex": 38691705,
      "creationHeight": 1234374,
      "settlementHeight": 1234379,
      "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": "18e2dc72c3e6ef032d33aadfff357c10b7f012b0d9be569d3f60f827bb1ca2e0",
      "mainChain": true
    }
  ],
  "size": 36818,
  "isUnconfirmed": false
}