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Transaction

12/18/2024 03:41:04 PM
ID: 25a43f1ff2...0451
Inputs (104)
#0
ba9cfe8254e5...138c
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
b0bd0fed9747...9277
Settlement height:
1,419,923
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#1
63cc303034c8...ac84
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
ca557d324b5c...cc65
Settlement height:
1,419,923
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#2
c15b7ee5e9a2...0740
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
aa942e795e56...0f1c
Settlement height:
1,419,923
Value:
0.00101 ERG
Tokens:
rspv2ErgoRWT
3,000
#3
c092e96d174e...eba9
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
a4e490949d30...5d93
Settlement height:
1,419,924
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#4
9e7930e521fa...3b9f
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
83d82eb18069...99ad
Settlement height:
1,419,925
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#5
012a5afd6cd6...8dda
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
a08fdfa26ef0...d861
Settlement height:
1,419,925
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#6
319dff4731b2...bb5e
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
5c18224bc061...3d00
Settlement height:
1,419,926
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#7
591e8e27a309...8129
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
e4b3f74d61c6...9f25
Settlement height:
1,419,926
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#8
e4b1acf17116...8bbd
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
74cc2b042d7d...9d13
Settlement height:
1,419,926
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#9
f49c35f342bf...6a91
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
e1d44feb93e6...5d57
Settlement height:
1,419,926
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#10
06f8ac872113...e8f2
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
acbc297b3498...3bf4
Settlement height:
1,419,927
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#11
b0223ff5276c...94a1
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
9081ca6ef1cc...7f25
Settlement height:
1,419,927
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#12
89318c2974bb...cec7
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
79cbbe2603ee...3e8b
Settlement height:
1,419,927
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#13
9e9ffdf136dd...4edf
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
c3da71badf68...475c
Settlement height:
1,419,927
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#14
f196f7aa1fc8...edc0
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
27d8fed5aafe...991f
Settlement height:
1,419,928
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#15
6d81831682d9...310c
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
8e01137d1cd0...2dfd
Settlement height:
1,419,928
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#16
bba5adba2712...5d8e
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
3f03e5f232c7...bd7d
Settlement height:
1,419,928
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#17
1abffdf9212c...a6a4
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
a37e5eada4da...365a
Settlement height:
1,419,928
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#18
d24803ffa481...ed71
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
b1990e9df467...3954
Settlement height:
1,419,928
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#19
fd294aafc63c...dc15
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
caad283b4fd9...7f7d
Settlement height:
1,419,928
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#20
724822f75b6d...97f9
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
e31a47b4f7b2...1ce2
Settlement height:
1,419,928
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#21
4750ded4981c...9714
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
e7123ba71c2d...c7e0
Settlement height:
1,419,928
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#22
1c37e9e9edd8...3d34
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
0d71ee00af31...9827
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#23
b898d67f0d48...8e48
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
01a514224f01...f616
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#24
217836a388f3...b8e2
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
093ccab7b8e8...bf60
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#25
5ee644fca100...ff9b
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
0d0e033babb8...36bf
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#26
61622c038290...6cc3
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
12b7e2c7bad4...3f13
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#27
73110365a23c...7e45
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
14beb88eb8c2...8892
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#28
30de659c2cc4...66f0
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
208f2abea944...170d
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#29
c594b853d483...4837
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
23c1c5f3857c...ac9c
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#30
220db248106b...c317
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
400df0a3ec8b...eb0c
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#31
21b11c5b6fe6...bb16
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
4a87ce197a95...97ba
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#32
75fb3305ba3a...f21d
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
57d9d539b1a2...4043
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#33
15d888bb7e4b...b003
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
625968c03240...54ec
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#34
8ac6d0dab4db...df29
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
6883414af5e8...e84d
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#35
8b0cdbc9b741...1d65
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
8756eba4f114...a178
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#36
fef79eb3de01...a562
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
8f130873f642...aa06
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#37
d756836062ef...f1dc
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
ac868946b085...a913
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#38
34575c3af908...9d67
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
b86b437c7f34...83b9
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#39
d340e7262192...e907
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
bd259f98cd27...202b
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#40
34abed5e9c51...1199
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
c784045f1ca7...30e6
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#41
714a4f95ad27...0107
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
d96d0ca6a9e7...e49a
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#42
173fca6f3425...fdd1
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
e9b12e899a78...a12a
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#43
ebe55fe65e95...8620
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
eee687e12de7...420d
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#44
9a2b2ee3aa94...de07
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
1dd6f6a0381e...d2f7
Settlement height:
1,419,929
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#45
31207a512327...edba
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
e9938720d507...8737
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#46
f4d960de9202...4891
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
13dce962a4ab...8c30
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#47
edab5a50229a...19f6
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
1ee2924e6b5f...6fed
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#48
fb93b3273cd0...96e4
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
2cc6e40c1832...ce34
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#49
48a2e2fb9ff7...b773
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
48f45efcf344...d573
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#50
c098e2b4c54b...ca8e
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
51b848212a58...e776
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#51
c1fb984814aa...3529
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
61cae406e7c5...e309
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#52
4684c6d539ae...62e0
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
655b807b3e5f...7e60
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#53
dd66c2fd2cea...1a91
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
6d17523064a5...fc42
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#54
bf5f9aefa16f...9ed4
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
73a120c8cf20...af35
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#55
4c8f68f4c1d1...9526
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
77d2cce45c23...e95b
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#56
544301c58257...44cb
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
906e212873e7...150a
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#57
e7799e076e06...8226
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
90eaafe72271...575b
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#58
8d842110976c...bbdd
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
91168627c4c6...54cb
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#59
dcf883cc64d4...46d0
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
ae1c896b5f94...50b5
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#60
8553235c5f86...769b
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
aea741f496df...eb45
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#61
539fbab677d0...8129
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
aec0e04a467d...8443
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#62
ff19e547a983...df18
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
af6f2f030de3...4296
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#63
ad5237cf08d7...150e
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
bb77f76ebab0...6745
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#64
d21994d49651...5cb5
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
bf5c8ce580f7...122b
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#65
5a7213ab8b8c...0b6a
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
eac8d7ad1767...4485
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#66
9e1567813a64...ef4b
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
f67847b23d13...c2fb
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#67
c5ba8c9c0778...22d8
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
d21de8636e12...0f09
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#68
7645ed5350ec...72c6
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
634451589d0a...0cde
Settlement height:
1,419,930
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#69
582ab503467d...f4e6
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
07b0b307c699...5a41
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#70
916c21bcbfe9...1d09
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
1dc1ba8d9568...357b
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#71
472ff0151260...7e9f
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
21d0b9094bd6...eff2
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#72
fa21a4b8b7a9...6b45
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
2e94943f3c80...9bef
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#73
fe74aa41cd1d...9f54
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
3730c016c34c...e818
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#74
b7a09679a4a0...96c3
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
37e1bdb84893...0e06
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#75
b6060d30a201...ba8e
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
38acb7bd29a5...14e4
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#76
7f9580ec16e1...e4f9
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
3effc875bde1...895a
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#77
6981feeef1f4...0b1c
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
43143660e31b...04b6
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#78
d7407b290cc6...e758
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
5ccf581defd2...f64b
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#79
164f402300a7...b39d
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
5e45ee6ce91e...f3f1
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#80
f0cc7c12d98a...1fe3
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
62ad9dfe902f...e2a2
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#81
11c6592e8ce8...d121
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
69d016e5e406...c589
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#82
10358ebf65de...12bc
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
6ca1599cfdce...5108
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#83
308cf9e25f51...3743
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
73a7ff368f5c...3806
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#84
0d15c5499e70...efbc
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
75f56e44ec4c...bc63
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#85
0fe600f11288...2fc8
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
86b0fdf284c8...a522
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#86
ba3d69e97f57...2e3f
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
8f66a3feec99...95eb
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#87
259d47b4bb54...c6d1
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
9221918423ff...0bc9
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#88
50adc4d049e7...3946
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
95c34aa593d6...2b75
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#89
33306241b82c...3f35
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
9c10b255bc54...bc9a
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#90
7067c80fb144...5818
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
a90fec6ecb8a...b47d
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#91
cecc35c697a4...7c68
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
af62ab1a66d0...9b74
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#92
80325c1370ae...562f
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
b21a953e0461...4a30
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#93
c5e08b6ba4b8...427a
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
b33612cc878e...154e
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#94
f56bc765a90e...ab28
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
b9ff708bb3ea...4a3b
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#95
b867bd4b5d02...8c9d
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
bd60ea730072...2dcb
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#96
0b5b11aade61...5fdb
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
d38ce4be361b...6771
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#97
e162fdbee1ed...08f0
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
e4520da36ccc...e9ee
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#98
b53becc762f8...755c
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
e56f1815e2b6...4965
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#99
fc28d936ac55...f98a
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
ebd4d48b33ba...bafe
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#100
734419582422...dfd1
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
ed9590336db1...33dd
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#101
976f700d7980...4d77
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
f50ca4b3d66e...ab47
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#102
2168642b8532...d092
Spent
Address:
5ivrmzxYZTDD...KqcC
Output transaction:
fabeddd40aef...2a05
Settlement height:
1,419,931
Value:
0.002 ERG
Tokens:
rspv2ErgoRWT
3,000
#103
32031ff9b625...e880
Spent
Address:
9fwx9F5D72kf...rP5u
Output transaction:
49398004bdd4...0880
Settlement height:
1,417,941
Value:
0.0078 ERG
Outputs (3)
#0
25e3b7dd7690...4cf8
Spent
Address:
ZsPNMsGz8D8y...xK7Y
Spent in transaction:
f26f4d04c42e...da63
Settlement height:
1,419,933
Value:
0.20501 ERG
Tokens:
rspv2ErgoRWT
309,000
#1
87d80d8ac7a7...0b74
Spent
Address:
9fwx9F5D72kf...rP5u
Spent in transaction:
d6c28849d9c0...9466
Settlement height:
1,419,933
Value:
0.00575 ERG
#2
538d9a8f0193...7679
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
0d2be19c8640...00c3
Settlement height:
1,419,933
Value:
0.00205 ERG
Transaction Details
Status: Confirmed
Size: 4.61 KB
Received time: 12/18/2024 03:41:04 PM
Included in blocks: 1,419,933
Confirmations: 349,802
Total coins transferred: 0.21281 ERG
Fees: 0.00205 ERG
Fees per byte: 0.000000434 ERG
Raw Transaction Data
{
  "id": "25a43f1ff25c4859525b0fcb483f950932a07a117b4187afb7ce68352b8e0451",
  "blockId": "7ddf03683b7f3a04c11b9bee4f3364aa6174351643eacf5fac0f68ee40465a14",
  "inclusionHeight": 1419933,
  "timestamp": 1734536464579,
  "index": 4,
  "globalIndex": 8282533,
  "numConfirmations": 349802,
  "inputs": [
    {
      "boxId": "ba9cfe8254e51724632297f3c99ea22c82ab1bfc11ec90efcbd1f8852a43138c",
      "value": 2000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "f4fe09d4ee98e58e5a39d2830fa784ecabbc280b4ffa8ce52df4c158184659ef",
      "outputTransactionId": "b0bd0fed9747f4d06e564719330cada479bb62f8b0142e94c15e365d3c699277",
      "outputIndex": 1,
      "outputGlobalIndex": 44912774,
      "outputCreatedAt": 1419920,
      "outputSettledAt": 1419923,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20ddcf399a712ddfea9b6a311d602f88c29475b115e7f995d432459c44f098c035",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ddcf399a712ddfea9b6a311d602f88c29475b115e7f995d432459c44f098c035"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20d34fe9ecc2ca507d77e874b3487020baa01e0641660bfc1bcb5e32b04d1aab66",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d34fe9ecc2ca507d77e874b3487020baa01e0641660bfc1bcb5e32b04d1aab66"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "63cc303034c8e284d341bf95b610a509706a3659e616b5072a7da8bf633eac84",
      "value": 2000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "f4fe09d4ee98e58e5a39d2830fa784ecabbc280b4ffa8ce52df4c158184659ef",
      "outputTransactionId": "ca557d324b5c7292c101bc26d63df276315d0856cf68f6d3128bfc928f95cc65",
      "outputIndex": 1,
      "outputGlobalIndex": 44912778,
      "outputCreatedAt": 1419921,
      "outputSettledAt": 1419923,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20ea17a62c608a9475a30f1ba345b82c2dd2c799d27dc4d4c9ba84bf7f282de3d5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ea17a62c608a9475a30f1ba345b82c2dd2c799d27dc4d4c9ba84bf7f282de3d5"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e204197ef4c0b93151f030166cc7dc39f322146be9255cbf8e6f278d6d0851c49db",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4197ef4c0b93151f030166cc7dc39f322146be9255cbf8e6f278d6d0851c49db"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "c15b7ee5e9a2e8bf244c9959c5e9569a0159aca89f56f57a29ceb435657d0740",
      "value": 1010000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "f4fe09d4ee98e58e5a39d2830fa784ecabbc280b4ffa8ce52df4c158184659ef",
      "outputTransactionId": "aa942e795e565be1518890bc3cd1d1e867ee3d82caa551968be000e7964c0f1c",
      "outputIndex": 1,
      "outputGlobalIndex": 44912783,
      "outputCreatedAt": 1419921,
      "outputSettledAt": 1419923,
      "ergoTree": "102404000e200c67461b5771fac3fc417b9d7464ad2b9a374e4eac5a4c5eb149e50fcbe8288d040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20c8dea5bd396984a17fc0aefafb11c46188a9a980caf2af12f7c893508db93a5b04000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e203766d9edd8ed272e11c762e2bbc5b1a50aa0b7c38ca8f8aff280f3179fd19f8b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "3766d9edd8ed272e11c762e2bbc5b1a50aa0b7c38ca8f8aff280f3179fd19f8b"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20d3466089943528ffcf343a48c52839d5f07ad183039eeb5b0a723bec748c755b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d3466089943528ffcf343a48c52839d5f07ad183039eeb5b0a723bec748c755b"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "c092e96d174e109e8b9aa7ceb22282f1e9a62897f3e9dfd46aeae01cb5e1eba9",
      "value": 2000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "562bae6a751df372e8071bf619936ffc3e3ab89b816b4ba6777bec4baed7ad9a",
      "outputTransactionId": "a4e490949d30dc5723070b113148730d06e2dec5ba956caf23346cfda9515d93",
      "outputIndex": 1,
      "outputGlobalIndex": 44912797,
      "outputCreatedAt": 1419921,
      "outputSettledAt": 1419924,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20742aab33ec1d5b1e29d0d76c31b75d93e60ab3a71f978bcf14e369c2134b3e4b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "742aab33ec1d5b1e29d0d76c31b75d93e60ab3a71f978bcf14e369c2134b3e4b"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20fd87300b05f3fd5280c5e6d15d249b5beef49b0b875f3f50270ac92967216338",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "fd87300b05f3fd5280c5e6d15d249b5beef49b0b875f3f50270ac92967216338"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "9e7930e521fae85f9d1d64a9b46661cd2872d8f3aeeee0f0cf05f73c79963b9f",
      "value": 2000000,
      "index": 4,
      "spendingProof": null,
      "outputBlockId": "9d8b14490435c8dd184649e208591a192ee1c72b2f536e69088ecd0d2ec5aa93",
      "outputTransactionId": "83d82eb18069a7a6cfefe634dceed2c4075e409cddd5c5e8e19adb3df8ee99ad",
      "outputIndex": 1,
      "outputGlobalIndex": 44912833,
      "outputCreatedAt": 1419923,
      "outputSettledAt": 1419925,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20f3559bc59e4fb41ad36f0b213740410b4cb61f967968fee72f83d2560199ae84",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f3559bc59e4fb41ad36f0b213740410b4cb61f967968fee72f83d2560199ae84"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e204c04665ebf2563bd655fda0787f9d0e6c66c6e172e577604ca396c96c40eb24e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4c04665ebf2563bd655fda0787f9d0e6c66c6e172e577604ca396c96c40eb24e"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "012a5afd6cd687c472da078da1444668486d0693c91808fad7447d9408588dda",
      "value": 2000000,
      "index": 5,
      "spendingProof": null,
      "outputBlockId": "9d8b14490435c8dd184649e208591a192ee1c72b2f536e69088ecd0d2ec5aa93",
      "outputTransactionId": "a08fdfa26ef04dbf67707523935728715b7662c517de04c7d5d3dbf79b5dd861",
      "outputIndex": 1,
      "outputGlobalIndex": 44912838,
      "outputCreatedAt": 1419923,
      "outputSettledAt": 1419925,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e206696280d3218decd0ba11a5a954542de86db8915e6ed6210b02ad6edb5d15ff5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6696280d3218decd0ba11a5a954542de86db8915e6ed6210b02ad6edb5d15ff5"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e200d3d0a841e7cb4de0afc16bb553b5ab999e24b48b9a2ccdd299510caa4525227",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0d3d0a841e7cb4de0afc16bb553b5ab999e24b48b9a2ccdd299510caa4525227"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "319dff4731b2e66878fcd9bbcb6429fec4f00a06f99b890a483726879cccbb5e",
      "value": 2000000,
      "index": 6,
      "spendingProof": null,
      "outputBlockId": "266d3bdff8953591d1206ba5525768dedd5e2d59f24ed93735f90f0e57b12ddb",
      "outputTransactionId": "5c18224bc061975f885321fd21edfc396169a02c5f78ddca9d59e5c536303d00",
      "outputIndex": 1,
      "outputGlobalIndex": 44912854,
      "outputCreatedAt": 1419924,
      "outputSettledAt": 1419926,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e201b532f49a3da89e577a27cad46cc15bb380a804af44bbbd6d3469ce87096d5bf",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1b532f49a3da89e577a27cad46cc15bb380a804af44bbbd6d3469ce87096d5bf"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e202ab0f0846968012cc5341380290f4389a2817ecd0ffa1f211356fc1e6a512b3b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2ab0f0846968012cc5341380290f4389a2817ecd0ffa1f211356fc1e6a512b3b"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "591e8e27a309fdd84832553a1902d44289cac3b117cc044098eabebdf1118129",
      "value": 2000000,
      "index": 7,
      "spendingProof": null,
      "outputBlockId": "266d3bdff8953591d1206ba5525768dedd5e2d59f24ed93735f90f0e57b12ddb",
      "outputTransactionId": "e4b3f74d61c6a32713889b8167df7c1151746ab74b53999d25c6be9557d59f25",
      "outputIndex": 1,
      "outputGlobalIndex": 44912859,
      "outputCreatedAt": 1419924,
      "outputSettledAt": 1419926,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20e9f3f56000a3f307582cd93fe52aa9afb7689b4007f22f1afd04c15d2c1e80c4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e9f3f56000a3f307582cd93fe52aa9afb7689b4007f22f1afd04c15d2c1e80c4"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2093d1c8fc04960457760fc81ec578e483c21197e34116ccbc016ed4f90f303e66",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "93d1c8fc04960457760fc81ec578e483c21197e34116ccbc016ed4f90f303e66"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "e4b1acf17116dc392a7763c3434c6e6356f5c94f9f84f4295fd2e45d02de8bbd",
      "value": 2000000,
      "index": 8,
      "spendingProof": null,
      "outputBlockId": "266d3bdff8953591d1206ba5525768dedd5e2d59f24ed93735f90f0e57b12ddb",
      "outputTransactionId": "74cc2b042d7d41970c9814391da6beca7b5b2616d94256acd834aa6b436f9d13",
      "outputIndex": 1,
      "outputGlobalIndex": 44912864,
      "outputCreatedAt": 1419924,
      "outputSettledAt": 1419926,
      "ergoTree": "102404000e200c67461b5771fac3fc417b9d7464ad2b9a374e4eac5a4c5eb149e50fcbe8288d040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20c8dea5bd396984a17fc0aefafb11c46188a9a980caf2af12f7c893508db93a5b04000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e206f3ed92c3f867beec54f5dff6dd8682854eefb9eed2fa9c22f4d2ec5d8fdd050",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f3ed92c3f867beec54f5dff6dd8682854eefb9eed2fa9c22f4d2ec5d8fdd050"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e208bf2cc33831fc146f3fb9b1529554aab59f22645aed347eb0230a85b0a6280de",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8bf2cc33831fc146f3fb9b1529554aab59f22645aed347eb0230a85b0a6280de"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "f49c35f342bfee4174185a2903380107cfa76522c638f96fb241e6b8ed6f6a91",
      "value": 2000000,
      "index": 9,
      "spendingProof": null,
      "outputBlockId": "266d3bdff8953591d1206ba5525768dedd5e2d59f24ed93735f90f0e57b12ddb",
      "outputTransactionId": "e1d44feb93e6bd05731bafa3a30f288093b32587819e142e1346521a46835d57",
      "outputIndex": 1,
      "outputGlobalIndex": 44912869,
      "outputCreatedAt": 1419924,
      "outputSettledAt": 1419926,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e200088840f331eedf07d309096c075208670801d18d730ba3fb2bb341bd5c094ca",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0088840f331eedf07d309096c075208670801d18d730ba3fb2bb341bd5c094ca"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e206d2043ec6faae444b9a79d674044f55542387849c13af5c4b7ec1ff2c01ce74e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6d2043ec6faae444b9a79d674044f55542387849c13af5c4b7ec1ff2c01ce74e"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "06f8ac87211362ce9e5edb275d0e965d37ac66fd062300e288944709ff89e8f2",
      "value": 2000000,
      "index": 10,
      "spendingProof": null,
      "outputBlockId": "7d4bc3d94a137bb57ea8e451f3b1f1ea0fbaef21ecffb4f2a88d7881589cb611",
      "outputTransactionId": "acbc297b34986c14e42f536bf52936a709e5b4564212e0be65580b0431aa3bf4",
      "outputIndex": 1,
      "outputGlobalIndex": 44912905,
      "outputCreatedAt": 1419925,
      "outputSettledAt": 1419927,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e205b2f71b4f694115bd565d05668bb6537d47eb28c40961c5afcc6486771ee5ac6",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5b2f71b4f694115bd565d05668bb6537d47eb28c40961c5afcc6486771ee5ac6"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e206e5031dc8d36074384c59492905d4268324aada4705356b5fe7697df952c0b6b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6e5031dc8d36074384c59492905d4268324aada4705356b5fe7697df952c0b6b"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "b0223ff5276cbf7ff11addff6c835ef4e0c1bcc4b54261b866568659586694a1",
      "value": 2000000,
      "index": 11,
      "spendingProof": null,
      "outputBlockId": "7d4bc3d94a137bb57ea8e451f3b1f1ea0fbaef21ecffb4f2a88d7881589cb611",
      "outputTransactionId": "9081ca6ef1ccfd75f0cf2780cee10528c21ff94f1a149f4b14ebf9561d0a7f25",
      "outputIndex": 1,
      "outputGlobalIndex": 44912910,
      "outputCreatedAt": 1419925,
      "outputSettledAt": 1419927,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20ce7dcc00b7759ccf97252cd5c994b2415a6b97c2580a5244bc9910ea34336a96",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ce7dcc00b7759ccf97252cd5c994b2415a6b97c2580a5244bc9910ea34336a96"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20dd2a746c20426cae51a4cacf98a360bc1f0fc3f914feb6ed4e076575fd26793c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "dd2a746c20426cae51a4cacf98a360bc1f0fc3f914feb6ed4e076575fd26793c"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "89318c2974bbddd6bbb5ba326a41b9f84313abd8e0dded6633259bd908c9cec7",
      "value": 2000000,
      "index": 12,
      "spendingProof": null,
      "outputBlockId": "7d4bc3d94a137bb57ea8e451f3b1f1ea0fbaef21ecffb4f2a88d7881589cb611",
      "outputTransactionId": "79cbbe2603ee6a97809881f9ed3735807ead2c8950026c85e41e624459dd3e8b",
      "outputIndex": 1,
      "outputGlobalIndex": 44912915,
      "outputCreatedAt": 1419925,
      "outputSettledAt": 1419927,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e205bef0fc79b73761ed88d6486fc9a65075494418f4efa85859366d1bda286b17c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5bef0fc79b73761ed88d6486fc9a65075494418f4efa85859366d1bda286b17c"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20135b80d9a958415e8ba306124afcf4d8e439f51578889b4cf867904eb8657003",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "135b80d9a958415e8ba306124afcf4d8e439f51578889b4cf867904eb8657003"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "9e9ffdf136ddd09a145fe4fccdb0d7f98dcf8e701cd2552103187c20877f4edf",
      "value": 2000000,
      "index": 13,
      "spendingProof": null,
      "outputBlockId": "7d4bc3d94a137bb57ea8e451f3b1f1ea0fbaef21ecffb4f2a88d7881589cb611",
      "outputTransactionId": "c3da71badf6845157b92b828fb63cbf6184757af4ae412bd346f138ad538475c",
      "outputIndex": 1,
      "outputGlobalIndex": 44912920,
      "outputCreatedAt": 1419925,
      "outputSettledAt": 1419927,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20932f4b0a6ce8f43c3e6ecc2433950f02db6e3b06ce53f1ed86208601e1dda73f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "932f4b0a6ce8f43c3e6ecc2433950f02db6e3b06ce53f1ed86208601e1dda73f"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20762176d346648e0da1f0c8186838e256f5318ca58405f8a9529050dd9b6a3fc6",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "762176d346648e0da1f0c8186838e256f5318ca58405f8a9529050dd9b6a3fc6"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "f196f7aa1fc8c25d720e63dfe0d33457f1f290462786c46926ac8895cff8edc0",
      "value": 2000000,
      "index": 14,
      "spendingProof": null,
      "outputBlockId": "44bb469c565e19ba354e695e5bd8403b5fd54a0f5b9769bfa397ea4a8e8447a6",
      "outputTransactionId": "27d8fed5aafe99757ca5fb9f534f61a3f9eed4c2ebfc4ad9c89a022e9294991f",
      "outputIndex": 1,
      "outputGlobalIndex": 44912931,
      "outputCreatedAt": 1419925,
      "outputSettledAt": 1419928,
      "ergoTree": "102404000e200c67461b5771fac3fc417b9d7464ad2b9a374e4eac5a4c5eb149e50fcbe8288d040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20c8dea5bd396984a17fc0aefafb11c46188a9a980caf2af12f7c893508db93a5b04000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2037b104e8763eb64be8a1775a5ee95135ecc1f5e0941a02031f1b9f2c2c0ed0e4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "37b104e8763eb64be8a1775a5ee95135ecc1f5e0941a02031f1b9f2c2c0ed0e4"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e206834ac156b5e81995d7acc5055a4c61a825c3bca5377df5fa1a3db07e1da081e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6834ac156b5e81995d7acc5055a4c61a825c3bca5377df5fa1a3db07e1da081e"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "6d81831682d964e9e25bc2f76565ebf96433f19ab76888ddb4a72d8fa393310c",
      "value": 2000000,
      "index": 15,
      "spendingProof": null,
      "outputBlockId": "44bb469c565e19ba354e695e5bd8403b5fd54a0f5b9769bfa397ea4a8e8447a6",
      "outputTransactionId": "8e01137d1cd049bbf362f884bd9c6cf7bd3c97b263c85e15549e1dcb9a0b2dfd",
      "outputIndex": 1,
      "outputGlobalIndex": 44912935,
      "outputCreatedAt": 1419926,
      "outputSettledAt": 1419928,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2097ccaa554d7918228e3ba22f0ae54c71c17ab70eab7087c994df6d9a3fe6f0b1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "97ccaa554d7918228e3ba22f0ae54c71c17ab70eab7087c994df6d9a3fe6f0b1"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2016630d235e925502c40f0dfa39e8355c6c7ea30daeefff8ad0ffab93b0d33e39",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "16630d235e925502c40f0dfa39e8355c6c7ea30daeefff8ad0ffab93b0d33e39"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "bba5adba27127b2cc61468677083d6ea7c5ea8e83d2a53abf064efe9ce125d8e",
      "value": 2000000,
      "index": 16,
      "spendingProof": null,
      "outputBlockId": "44bb469c565e19ba354e695e5bd8403b5fd54a0f5b9769bfa397ea4a8e8447a6",
      "outputTransactionId": "3f03e5f232c70f5016299bc852b16f09a448dc1fa18b964ff78298985285bd7d",
      "outputIndex": 1,
      "outputGlobalIndex": 44912939,
      "outputCreatedAt": 1419926,
      "outputSettledAt": 1419928,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "5ivrmzxYZTDDDoKD1urVYrXZG96ijTUYXQJzE6SCRJ2RR6Kj1UPWL1iN1xeHgYJEQjnQ7m3Ld9tBRRYqjzrAVAqHyGbZB3otUWZW4sUxN4E11fNUZEMQ3kVwnZxFmeSaxcXhQiTFH1cvBYWuFMRRFfaA2UMfpEgm2WoqeiJxPCojp9D7h6yMV4br5EtWTQJKRtcopBRoUgDg9mrKPAXGPZZKTZbYotgLKQ4nzD8QB5hjYJswhLmePaY3zK5eJq7NTcdoAgbNPK9nQ9UpBUgrc8RB76P8evPHMXg6HrVdQ2z3rkvYFVZqH9SmCkE8KGiLYGX7hwaXYGvPExdoVDp7qsSctsPjwgt9Vts2G76dzJzfBhEunJ33vdTEkEXX3wkjK4ZE8g5YKCwGpcED5PhtRQQtJZaZMYTZV3TpbPWy57U49cD3HVeUGR7efxUHZxYybWJ7q8i6NDm3PUwKFN63HmPYQn7TMYGkvSoizTuTAUJomiKgSnvoz2DSUzukRSRmUFA1cLqdR6s7FbeJfpbaKWX4kUGM2Xh38FdqNE94SjkQMY9bv3H5N8MgwGL2La12e1GXAdMCKJCWKRe27vjdaHJWmsKrBLuXQegGN8BaqNuvJbhrmreHAjR9tVwVkxcTUsr8u8TGUzkzN7coV8HiQV9KBMVgQ24NXPYyoCuedwfCiNwYX7PSSbvve7Dgyy5e1S6qbVpEpVtjy9NzWfRaqr5CyGDqhkfjizNG71NZu543vkacjXrrfPWqtNoXMtTRyM1pzwW9ze9aoRX6e92mVaCUB8hTnfH3Q8EstRLDJygLmp63y45tKwBVBDjog7Z6pWhTfBapMBz8Q28pMfPAR8ywfz8qvtkyQcv9SuEZWfvpZREaS5PGhBuqU79eR9bwNwS6TLu9BZV5Y1ahVFA1fMUxhXTvX69hKnNHFgZ35fZdrVrSeU4U5yGvYX7ViTqL2oFk16HLoTXgNs6KQz7PPZr373gDeRh7PfXpX5jWyxw6SRreE3jB5SUiQnZxmAbpJNVkPzFbZXcrsrS3JHSfiVeqp1tk5uNaZcX39tQTXtu4bGrpv6EiMvYPkiDhCiKd5oAVeZ8VxEGN7SP94vF9WhS2oWUMCVLU1XW2DDHejZ36Zo1Ho8fHbUEaKNbRBozY3HYnkYyJuF4wer8xJ6q4KcPppDrS5jqfAaZF6YWsdtqgse7qMeWVUPj23Vr5XG2S9sYmWA7femKuZki71S6BqZGNfit7F4vrzqNZd1L5oyLSVCtuiv3DybRnu2YEaUtrmCphsmrpAFSEwJWtFKqcC",
      "assets": [
        {
          "tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20f4e63793560cb0c644d8d30cf9260a153e509bbbcb8e1885e66208e23c8f7d8b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f4e63793560cb0c644d8d30cf9260a153e509bbbcb8e1885e66208e23c8f7d8b"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e209ce5a260eaa0e7bf03d4860fe0184e794e61392ed57e1eaf8f4faa3be3edf78a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "9ce5a260eaa0e7bf03d4860fe0184e794e61392ed57e1eaf8f4faa3be3edf78a"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "1abffdf9212c4958ac39b78fdfb21ced7bb9638d08085289f19104613101a6a4",
      "value": 2000000,
      "index": 17,
      "spendingProof": null,
      "outputBlockId": "44bb469c565e19ba354e695e5bd8403b5fd54a0f5b9769bfa397ea4a8e8447a6",
      "outputTransactionId": "a37e5eada4da64f65b62c36c12e5cf204aa9a37b73c9b345c159e9d9bd68365a",
      "outputIndex": 1,
      "outputGlobalIndex": 44912944,
      "outputCreatedAt": 1419925,
      "outputSettledAt": 1419928,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2019b9ce427e082d0ec1077a19db29ee8af2afadfa46e96d28d5d3e7ac56df7c29",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "19b9ce427e082d0ec1077a19db29ee8af2afadfa46e96d28d5d3e7ac56df7c29"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e208dac2749d4a760d233bfbbab475ee1e5df19244af06387ac71621a1a9337daaf",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8dac2749d4a760d233bfbbab475ee1e5df19244af06387ac71621a1a9337daaf"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "d24803ffa481a8b92d257db3faab792f43c3eecbda6151af5e0f3dcc1222ed71",
      "value": 2000000,
      "index": 18,
      "spendingProof": null,
      "outputBlockId": "44bb469c565e19ba354e695e5bd8403b5fd54a0f5b9769bfa397ea4a8e8447a6",
      "outputTransactionId": "b1990e9df46771fe6e48f5cdc47b0b356ad1000c7acbafb39a0cc36719663954",
      "outputIndex": 1,
      "outputGlobalIndex": 44912949,
      "outputCreatedAt": 1419925,
      "outputSettledAt": 1419928,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20d289df8aee844cdc1a6b7c84efe280a8d7c51dc6412c3e36b64d4ee71f4cb916",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d289df8aee844cdc1a6b7c84efe280a8d7c51dc6412c3e36b64d4ee71f4cb916"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20443613ecc9f1d08110433a2636253bc069c95019a0c091841d92d92cb39651ff",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "443613ecc9f1d08110433a2636253bc069c95019a0c091841d92d92cb39651ff"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "fd294aafc63cbd58197d0804b9cd003e5a789558ea8b9b7b7255acedb062dc15",
      "value": 2000000,
      "index": 19,
      "spendingProof": null,
      "outputBlockId": "44bb469c565e19ba354e695e5bd8403b5fd54a0f5b9769bfa397ea4a8e8447a6",
      "outputTransactionId": "caad283b4fd92e07eb743c77532a93b466698cb97be586c91071bae4ebbb7f7d",
      "outputIndex": 1,
      "outputGlobalIndex": 44912954,
      "outputCreatedAt": 1419925,
      "outputSettledAt": 1419928,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20177d2ab87b520ce087a394ae20fcc6f221e24f747f664f6c30961288c951d05a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "177d2ab87b520ce087a394ae20fcc6f221e24f747f664f6c30961288c951d05a"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20ea9ecc4954fde2b4311f5f47279123850af178b5e865850d193d116742684e04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ea9ecc4954fde2b4311f5f47279123850af178b5e865850d193d116742684e04"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "724822f75b6de08ab00eecdecf14a570391d64b401983ac62ec0a2df0a5197f9",
      "value": 2000000,
      "index": 20,
      "spendingProof": null,
      "outputBlockId": "44bb469c565e19ba354e695e5bd8403b5fd54a0f5b9769bfa397ea4a8e8447a6",
      "outputTransactionId": "e31a47b4f7b24382a219882ef18180cf70b82f2a94764a82c255c1bcd5bc1ce2",
      "outputIndex": 1,
      "outputGlobalIndex": 44912959,
      "outputCreatedAt": 1419925,
      "outputSettledAt": 1419928,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2038813672b3e4ea3dd9e1592542d0997d2b56abeb47acadcfc09d3aa8d62a496e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "38813672b3e4ea3dd9e1592542d0997d2b56abeb47acadcfc09d3aa8d62a496e"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20a3bad97538eb103fac802904f3428542a24073fbf6d0c1e8d627388624e88f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a3bad97538eb103fac802904f3428542a24073fbf6d0c1e8d627388624e88f34"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "4750ded4981cc8b8912dc358ec1f851d780b006c9ed610985e17e9bda5a59714",
      "value": 2000000,
      "index": 21,
      "spendingProof": null,
      "outputBlockId": "44bb469c565e19ba354e695e5bd8403b5fd54a0f5b9769bfa397ea4a8e8447a6",
      "outputTransactionId": "e7123ba71c2dc6d1bd07e88a25fdb9a46c7f35c56cccc3afc67c07cd9c78c7e0",
      "outputIndex": 1,
      "outputGlobalIndex": 44912964,
      "outputCreatedAt": 1419925,
      "outputSettledAt": 1419928,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e205de7c58e90454fe60345df0afa28bcdc61a34e112d4e541d5b58da6a89d45ea2",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5de7c58e90454fe60345df0afa28bcdc61a34e112d4e541d5b58da6a89d45ea2"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20cde370d6005d5dfa0c7f89e951ac5f074d8bffc3df0b40641ea28aa64d417836",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "cde370d6005d5dfa0c7f89e951ac5f074d8bffc3df0b40641ea28aa64d417836"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "1c37e9e9edd848d87dec4224c85d4c8a1f29ce8b14b06800b728985dd7633d34",
      "value": 2000000,
      "index": 22,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "0d71ee00af31e89f0fae28e417166be8021355cb502a171f876e8f7e83b09827",
      "outputIndex": 1,
      "outputGlobalIndex": 44912980,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20793848c21ce3e6a7bdfa8613f66f9f99879304a3a4b7fc233228fa959c113fd8",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "793848c21ce3e6a7bdfa8613f66f9f99879304a3a4b7fc233228fa959c113fd8"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20a4c718f4f5753adbc8091b5647b1667cae5c6df42a5730197669812c4689c33b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a4c718f4f5753adbc8091b5647b1667cae5c6df42a5730197669812c4689c33b"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "b898d67f0d485e4de4c13a8d84f0ee5b288e186dd9a5f52462f0f586553a8e48",
      "value": 2000000,
      "index": 23,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "01a514224f01e55d18510ea3ec9d4b1848f57789f13a16415b505dc3e2aaf616",
      "outputIndex": 1,
      "outputGlobalIndex": 44912984,
      "outputCreatedAt": 1419926,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e203aa7ed9864521180387dcc059e46225ada5116a86758bc2b958873bbd7d19366",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "3aa7ed9864521180387dcc059e46225ada5116a86758bc2b958873bbd7d19366"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e202b162f48e4de97715d80d5e2fe9390136ac1a0f2bac44199b2b5d3a38a5c909b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2b162f48e4de97715d80d5e2fe9390136ac1a0f2bac44199b2b5d3a38a5c909b"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "217836a388f30c529117110806fff8dd841d3cc69b829279f6fd98b7272bb8e2",
      "value": 2000000,
      "index": 24,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "093ccab7b8e84de188a2998b00dc4aaf0ea2d81e7deb79806dfad8233294bf60",
      "outputIndex": 1,
      "outputGlobalIndex": 44912989,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20b5f4a5dd3d93cb51db4fe6d647d44054d97a06108f058a9907561a65957feb9c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b5f4a5dd3d93cb51db4fe6d647d44054d97a06108f058a9907561a65957feb9c"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20a89f615b46a9b61187e6365890648ab12404b3c000e4613c4d27e6e253434fc9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a89f615b46a9b61187e6365890648ab12404b3c000e4613c4d27e6e253434fc9"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "5ee644fca1008115fc6eea54b7e58a448fe9525fc9eff5c55d8d6464381cff9b",
      "value": 2000000,
      "index": 25,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "0d0e033babb8df6f810263e5b35ecb4ef23761981d12415d615bb44079ab36bf",
      "outputIndex": 1,
      "outputGlobalIndex": 44912994,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20fe93b88cc5fe9d945f31341803b9f739284b497165296efe23b50745cb787dd7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "fe93b88cc5fe9d945f31341803b9f739284b497165296efe23b50745cb787dd7"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e209c38303026efce59cb58d9e78c6b951939865ff0b2e3a1435162a51a6a58b1ec",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "9c38303026efce59cb58d9e78c6b951939865ff0b2e3a1435162a51a6a58b1ec"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "61622c03829054bd73aa9aa71c7e4cbf4ffa5bf3804f86fdec4f66ceb4046cc3",
      "value": 2000000,
      "index": 26,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "12b7e2c7bad475399db4d4a4082892ee3bf73f82d4a277d466635cb1b7aa3f13",
      "outputIndex": 1,
      "outputGlobalIndex": 44912999,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e202cb49b8ebf41f1679770487ddeeb997ae6c0242a1c14de26935906d711054c07",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2cb49b8ebf41f1679770487ddeeb997ae6c0242a1c14de26935906d711054c07"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20dba1c215d754208bb4861caf512020f280c6c7b815209bedc6913b7355910f31",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "dba1c215d754208bb4861caf512020f280c6c7b815209bedc6913b7355910f31"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "73110365a23c55c11be65cb8ad52423b15f8be22f50fdea6641ea68f1fb07e45",
      "value": 2000000,
      "index": 27,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "14beb88eb8c23d40db236b1d652b225a8f0076bdfa518dd01716d11ee45b8892",
      "outputIndex": 1,
      "outputGlobalIndex": 44913004,
      "outputCreatedAt": 1419925,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e200dba2cea2e980eaaf6f1e8cf6485b2801671c13b6f975d392b4920b71488a3b3",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0dba2cea2e980eaaf6f1e8cf6485b2801671c13b6f975d392b4920b71488a3b3"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20a82166d0ec19978dfe700d5d3d50bddee13507cd63329713b0b2dd8a6b78c3d2",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a82166d0ec19978dfe700d5d3d50bddee13507cd63329713b0b2dd8a6b78c3d2"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "30de659c2cc46bf5def732b13b754c27db1253a2be2eee0e9b0a79c798ee66f0",
      "value": 2000000,
      "index": 28,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "208f2abea94430bf966a3e7efbafe6d4979b92c9be90511d52df6179d29e170d",
      "outputIndex": 1,
      "outputGlobalIndex": 44913009,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2077b15cdeebe0239ed033afdaf82d79243e646ebf402f0c7e4717637298f6c469",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "77b15cdeebe0239ed033afdaf82d79243e646ebf402f0c7e4717637298f6c469"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20c315db11f8f8a824dd1c50908ab885b0c17c37c4fb69480c2aac211543a8e902",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c315db11f8f8a824dd1c50908ab885b0c17c37c4fb69480c2aac211543a8e902"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "c594b853d483de87acbaca80668aa401167ea98ba5d65d48070ce4b835a64837",
      "value": 2000000,
      "index": 29,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "23c1c5f3857cebc40dea78a95de0ea07ce8c75916e5216b068d8ac91cf2cac9c",
      "outputIndex": 1,
      "outputGlobalIndex": 44913014,
      "outputCreatedAt": 1419925,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20f0347cb3d75c4fb1561e5b0f8490179290b2b930e9a699df5f0aae48e1a234bf",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f0347cb3d75c4fb1561e5b0f8490179290b2b930e9a699df5f0aae48e1a234bf"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20b815be5b5cb94b74ba0ba9f07b3428c12d806e17b9ccf45b17e6c6c809a87e12",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b815be5b5cb94b74ba0ba9f07b3428c12d806e17b9ccf45b17e6c6c809a87e12"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "220db248106b306cb4abd6d3de0f972cbe5501fa7fe9304c8dce974f470ec317",
      "value": 2000000,
      "index": 30,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "400df0a3ec8b195502952ce652a95c8b8d37301331bfb7fe8b79e34b102feb0c",
      "outputIndex": 1,
      "outputGlobalIndex": 44913019,
      "outputCreatedAt": 1419926,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20dea05e9796b8e58d3a7ab92de7463d5a5d365171ffa1b581249e5c55f187f3dc",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "dea05e9796b8e58d3a7ab92de7463d5a5d365171ffa1b581249e5c55f187f3dc"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20cb52f1d5295a09aea9949e4ad99584a28d3755ac0978bf71d268567b3623d391",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "cb52f1d5295a09aea9949e4ad99584a28d3755ac0978bf71d268567b3623d391"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "21b11c5b6fe6bbe6fb8000f1dc267ac58d3a8215c7da1ceb2aa180acb050bb16",
      "value": 2000000,
      "index": 31,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "4a87ce197a95658ba8504bc7ef0c4aaaa31a4f525831dcd55c3022a0358497ba",
      "outputIndex": 1,
      "outputGlobalIndex": 44913024,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "5ivrmzxYZTDDDoKD1urVYrXZG96ijTUYXQJzE6SCRJ2RR6Kj1UPWL1iN1xeHgYJEQjnQ7m3Ld9tBRRYqjzrAVAqHyGbZB3otUWZW4sUxN4E11fNUZEMQ3kVwnZxFmeSaxcXhQiTFH1cvBYWuFMRRFfaA2UMfpEgm2WoqeiJxPCojp9D7h6yMV4br5EtWTQJKRtcopBRoUgDg9mrKPAXGPZZKTZbYotgLKQ4nzD8QB5hjYJswhLmePaY3zK5eJq7NTcdoAgbNPK9nQ9UpBUgrc8RB76P8evPHMXg6HrVdQ2z3rkvYFVZqH9SmCkE8KGiLYGX7hwaXYGvPExdoVDp7qsSctsPjwgt9Vts2G76dzJzfBhEunJ33vdTEkEXX3wkjK4ZE8g5YKCwGpcED5PhtRQQtJZaZMYTZV3TpbPWy57U49cD3HVeUGR7efxUHZxYybWJ7q8i6NDm3PUwKFN63HmPYQn7TMYGkvSoizTuTAUJomiKgSnvoz2DSUzukRSRmUFA1cLqdR6s7FbeJfpbaKWX4kUGM2Xh38FdqNE94SjkQMY9bv3H5N8MgwGL2La12e1GXAdMCKJCWKRe27vjdaHJWmsKrBLuXQegGN8BaqNuvJbhrmreHAjR9tVwVkxcTUsr8u8TGUzkzN7coV8HiQV9KBMVgQ24NXPYyoCuedwfCiNwYX7PSSbvve7Dgyy5e1S6qbVpEpVtjy9NzWfRaqr5CyGDqhkfjizNG71NZu543vkacjXrrfPWqtNoXMtTRyM1pzwW9ze9aoRX6e92mVaCUB8hTnfH3Q8EstRLDJygLmp63y45tKwBVBDjog7Z6pWhTfBapMBz8Q28pMfPAR8ywfz8qvtkyQcv9SuEZWfvpZREaS5PGhBuqU79eR9bwNwS6TLu9BZV5Y1ahVFA1fMUxhXTvX69hKnNHFgZ35fZdrVrSeU4U5yGvYX7ViTqL2oFk16HLoTXgNs6KQz7PPZr373gDeRh7PfXpX5jWyxw6SRreE3jB5SUiQnZxmAbpJNVkPzFbZXcrsrS3JHSfiVeqp1tk5uNaZcX39tQTXtu4bGrpv6EiMvYPkiDhCiKd5oAVeZ8VxEGN7SP94vF9WhS2oWUMCVLU1XW2DDHejZ36Zo1Ho8fHbUEaKNbRBozY3HYnkYyJuF4wer8xJ6q4KcPppDrS5jqfAaZF6YWsdtqgse7qMeWVUPj23Vr5XG2S9sYmWA7femKuZki71S6BqZGNfit7F4vrzqNZd1L5oyLSVCtuiv3DybRnu2YEaUtrmCphsmrpAFSEwJWtFKqcC",
      "assets": [
        {
          "tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e200b0ac5850cdf0b1164e9d59bb5db54d83d9b6bb73442822aeb7542862710017a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0b0ac5850cdf0b1164e9d59bb5db54d83d9b6bb73442822aeb7542862710017a"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20a2f91c63e9ea54c27b367ababfd07dd66545b6b072710ae0f4f4c2337911929b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a2f91c63e9ea54c27b367ababfd07dd66545b6b072710ae0f4f4c2337911929b"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "75fb3305ba3aed06baa7d70309b7de191b79f8c170ab66977049e44b84b8f21d",
      "value": 2000000,
      "index": 32,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "57d9d539b1a2da77d1cfb27235ace66d2a42389fa4edcf153e22d42b285b4043",
      "outputIndex": 1,
      "outputGlobalIndex": 44913029,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e204e6060b5ef0c87bb71f0f57f7967da51ffbe7fe4fa3f40c3a3ce3e89fe7f7916",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4e6060b5ef0c87bb71f0f57f7967da51ffbe7fe4fa3f40c3a3ce3e89fe7f7916"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e204219ea44dfc51ce388afd7c3d3f8960ea625c7e6a6d44fadf53f29c3faef9290",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4219ea44dfc51ce388afd7c3d3f8960ea625c7e6a6d44fadf53f29c3faef9290"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "15d888bb7e4b401b0e3e10d1b4335f691edab75c26c2bf24894897a6e636b003",
      "value": 2000000,
      "index": 33,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "625968c0324040734a37eea371cbcb157fd0f65bb77cf20528eabc94d5cb54ec",
      "outputIndex": 1,
      "outputGlobalIndex": 44913034,
      "outputCreatedAt": 1419926,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20bd65e8b53aca76f238b88882a85d021401bc6467cb97ace7179d29c5b5323e32",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bd65e8b53aca76f238b88882a85d021401bc6467cb97ace7179d29c5b5323e32"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2025164dd804a2c808eefe28cc478ffcb88c021e1b795ef799c7e85da5896e264a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "25164dd804a2c808eefe28cc478ffcb88c021e1b795ef799c7e85da5896e264a"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "8ac6d0dab4dbea0d43bfcca4534fc225112e5c89b6f5a571fb734c24982cdf29",
      "value": 2000000,
      "index": 34,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "6883414af5e83fb54c43345ba460f6694ce67b0cba6bb73e86c26dd96293e84d",
      "outputIndex": 1,
      "outputGlobalIndex": 44913039,
      "outputCreatedAt": 1419926,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20386d1c70deb3315854bda324ecf573fc224ab8b78b3c9bb62309592450c91047",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "386d1c70deb3315854bda324ecf573fc224ab8b78b3c9bb62309592450c91047"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e200d9e31ebba26e50b835537f5e7bb28d5fef2cf1b4d0d2ac8948645917772fa2c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0d9e31ebba26e50b835537f5e7bb28d5fef2cf1b4d0d2ac8948645917772fa2c"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "8b0cdbc9b74135fc2e2a9e72bdf9e30a817775416b19a19e7418b78080351d65",
      "value": 2000000,
      "index": 35,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "8756eba4f1148a061fa413ecb9a48b4810faeb24829cdfde68442c63d47ca178",
      "outputIndex": 1,
      "outputGlobalIndex": 44913044,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20bb5f676dea40d456552f6cbdb963e0426387c7c0c64c7512b5d35418f3759d0d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bb5f676dea40d456552f6cbdb963e0426387c7c0c64c7512b5d35418f3759d0d"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e207eb9acfaec89410b97207c09ca58ea757feabca7547f2dba29c6335ef8e0bd64",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7eb9acfaec89410b97207c09ca58ea757feabca7547f2dba29c6335ef8e0bd64"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "fef79eb3de01a7fe149a94bfc092e90d5359d14c4cb0ce704722d3d9abeca562",
      "value": 2000000,
      "index": 36,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "8f130873f6426821b09dc4b8bf6b5436f94a8a924a211916c615b6f760ffaa06",
      "outputIndex": 1,
      "outputGlobalIndex": 44913049,
      "outputCreatedAt": 1419926,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2092a7c171364ecec3926817b320af35a4830041fb3d9e71dbc38fbf5b177ab22f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "92a7c171364ecec3926817b320af35a4830041fb3d9e71dbc38fbf5b177ab22f"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20717e0776facdfedf0723b572e751fdeb0459d3ab8f5bed4aa0dd2f77926d0f48",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "717e0776facdfedf0723b572e751fdeb0459d3ab8f5bed4aa0dd2f77926d0f48"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "d756836062ef16cd06d8ccd0baf68253d80f73b12110a25b4bbd6c00f4a9f1dc",
      "value": 2000000,
      "index": 37,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "ac868946b08529a9cc109bdca49e9f6bbc4facb9a53b81eeec310b97c36da913",
      "outputIndex": 1,
      "outputGlobalIndex": 44913054,
      "outputCreatedAt": 1419926,
      "outputSettledAt": 1419929,
      "ergoTree": "102404000e200c67461b5771fac3fc417b9d7464ad2b9a374e4eac5a4c5eb149e50fcbe8288d040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20c8dea5bd396984a17fc0aefafb11c46188a9a980caf2af12f7c893508db93a5b04000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e208e4ad9d51dc7163937eaeb6760c53bfb4d64d7369580d056ae32df6795c2dd4b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8e4ad9d51dc7163937eaeb6760c53bfb4d64d7369580d056ae32df6795c2dd4b"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20b3b13fa3b99c100c94b8c4bcd8168cb7242e538a07ab520ba1afbef33d234f98",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b3b13fa3b99c100c94b8c4bcd8168cb7242e538a07ab520ba1afbef33d234f98"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "34575c3af90870e1b8f364212877b26c60330b414bc366c1c375b173c1e49d67",
      "value": 2000000,
      "index": 38,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "b86b437c7f34c9938585b2ea477e1fd25073cf505eba77372600001e3b9283b9",
      "outputIndex": 1,
      "outputGlobalIndex": 44913059,
      "outputCreatedAt": 1419925,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2050380024330dbf7001125ff8d8c3df6ffecf302f61eb96e71d1698718f8d5f8f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "50380024330dbf7001125ff8d8c3df6ffecf302f61eb96e71d1698718f8d5f8f"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e207363359e691be49613b9ab05c476d3c99a81dfb75f391500c17f1f4bc3ecf879",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7363359e691be49613b9ab05c476d3c99a81dfb75f391500c17f1f4bc3ecf879"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "d340e72621924153ff8be496521791f7695c17ab85385fcefc6b82979217e907",
      "value": 2000000,
      "index": 39,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "bd259f98cd270373ff662d899cebc43ca093475c0af786659f3d55080e13202b",
      "outputIndex": 1,
      "outputGlobalIndex": 44913064,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419929,
      "ergoTree": "102404000e200c67461b5771fac3fc417b9d7464ad2b9a374e4eac5a4c5eb149e50fcbe8288d040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20c8dea5bd396984a17fc0aefafb11c46188a9a980caf2af12f7c893508db93a5b04000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e201fcbc0d9b62827ee208e42c618022a606983d1129f44ef62f28c3a48ecef60d7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1fcbc0d9b62827ee208e42c618022a606983d1129f44ef62f28c3a48ecef60d7"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20219f7050c92a0cd0ec69b82e55e2f3b37976cf6083bcab6d603994e64cfa2a6a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "219f7050c92a0cd0ec69b82e55e2f3b37976cf6083bcab6d603994e64cfa2a6a"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "34abed5e9c51c3173bc28f7cf320cc79528b4c8c98ae1ecdb8c4ba7b92d61199",
      "value": 2000000,
      "index": 40,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "c784045f1ca78e5154dae1bff569e080d94cd741bcb478bbeb5fd2ccdb9c30e6",
      "outputIndex": 1,
      "outputGlobalIndex": 44913069,
      "outputCreatedAt": 1419925,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20b188db683fdbacca5a356503878c7a4f017030569aed3dd1b665403f64e245c4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b188db683fdbacca5a356503878c7a4f017030569aed3dd1b665403f64e245c4"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e201893bf054e2e7a5b87a372628dd1d31495d2599db3f8d0fe1408013a5ed6ad77",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1893bf054e2e7a5b87a372628dd1d31495d2599db3f8d0fe1408013a5ed6ad77"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "714a4f95ad27607c81c8d9f08d6007ffa7d8c6c41e69db430cf98c345dc50107",
      "value": 2000000,
      "index": 41,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "d96d0ca6a9e7ccf3b38f935bbb800370a7bcd1fd6962ee15eb89e1b03c8ee49a",
      "outputIndex": 1,
      "outputGlobalIndex": 44913074,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e207d2f5dd0dce52c5e42b935cb986095bdfac1c6102018f4c715d830e736d96876",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7d2f5dd0dce52c5e42b935cb986095bdfac1c6102018f4c715d830e736d96876"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20644797ced9a3660eff23aac478dc8006254b3fb05eab5adba81682c4415acb3f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "644797ced9a3660eff23aac478dc8006254b3fb05eab5adba81682c4415acb3f"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "173fca6f342584437d035f5ebef701bf0d49cb3bd7f77765b70239440470fdd1",
      "value": 2000000,
      "index": 42,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "e9b12e899a78deb0edaefac8925a505da2d15e1d721355f8220a916b6253a12a",
      "outputIndex": 1,
      "outputGlobalIndex": 44913079,
      "outputCreatedAt": 1419926,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e206a572ba3399722fc5020dfe1443990135cd044893c9e7a72056d613232fa61e8",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6a572ba3399722fc5020dfe1443990135cd044893c9e7a72056d613232fa61e8"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e208ed39481a5e57aff3f40a82bc7aa1ba86331456a02d0cfe87b35c793b12a2599",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8ed39481a5e57aff3f40a82bc7aa1ba86331456a02d0cfe87b35c793b12a2599"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "ebe55fe65e950049255e79eeef88ed6fdda33b669aea933879b349b743268620",
      "value": 2000000,
      "index": 43,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "eee687e12de7223b0dfbac1c66e3826a24a27ea0e49dab473433a1a184db420d",
      "outputIndex": 1,
      "outputGlobalIndex": 44913084,
      "outputCreatedAt": 1419925,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20bfc372a6d2ac00cc08dbe822ee10e55a15ac224b15255f6fd884a488ed515220",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bfc372a6d2ac00cc08dbe822ee10e55a15ac224b15255f6fd884a488ed515220"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e207d94aba8771bb3df7ffd8ec4d6dac3bb925d0707e49f8a507f8d79c368a3c0a5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7d94aba8771bb3df7ffd8ec4d6dac3bb925d0707e49f8a507f8d79c368a3c0a5"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "9a2b2ee3aa94325d19df6679b3fed79b203023f3e955fd2ff2f03db77767de07",
      "value": 2000000,
      "index": 44,
      "spendingProof": null,
      "outputBlockId": "5f707183ceae0b03a515783b6e92858e61a61d88e3cedbbbbe50507e6b8c823f",
      "outputTransactionId": "1dd6f6a0381e70bdc2be7158798cf1792889d014981bc13748286b6e4089d2f7",
      "outputIndex": 1,
      "outputGlobalIndex": 44913089,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419929,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2099eaac5fcdb8ff2a9b4503b43964a5cb81471aae52242facbfef1f87b11457c0",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "99eaac5fcdb8ff2a9b4503b43964a5cb81471aae52242facbfef1f87b11457c0"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e202da54e5314719dc12ddd71cc5d4e52cf03db91c250ec6f348cb12da5c8fe116c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2da54e5314719dc12ddd71cc5d4e52cf03db91c250ec6f348cb12da5c8fe116c"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "31207a51232708b6a87d6ddc8b1d78a3fcf0f792d440dc0ae5609de3016fedba",
      "value": 2000000,
      "index": 45,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "e9938720d507f116d8930c146e1f8f1aa2b4f1d84c3db32327ddd02e30768737",
      "outputIndex": 1,
      "outputGlobalIndex": 44913106,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e206e3897f1a1c06dd2eeebd4ec9287dc0abd119e7f0a03c7938c181ba21fcddc96",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6e3897f1a1c06dd2eeebd4ec9287dc0abd119e7f0a03c7938c181ba21fcddc96"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2087d56c6e396b1dd971fbbb5978d7a87b254712c72c0693f3a36da0ed741ac9ed",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "87d56c6e396b1dd971fbbb5978d7a87b254712c72c0693f3a36da0ed741ac9ed"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "f4d960de9202a86da735acb0f8fe52a50be35319fa37902835dc543b0b614891",
      "value": 2000000,
      "index": 46,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "13dce962a4ab199cc07e55cdebf8492493115fe7f7c82d1966a9def1a4b18c30",
      "outputIndex": 1,
      "outputGlobalIndex": 44913110,
      "outputCreatedAt": 1419926,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20c2fa6283d1be597ef8ab3db6dfdf0111f56dce82303d094759fa58513955144d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c2fa6283d1be597ef8ab3db6dfdf0111f56dce82303d094759fa58513955144d"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20930f99913d0a02069d4958f8e59fc88a1401a945442b93d6971c42b19c57f1ab",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "930f99913d0a02069d4958f8e59fc88a1401a945442b93d6971c42b19c57f1ab"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "edab5a50229aaa65d566f6caac5129d5232f75e97b4ed998df4b80ee3efa19f6",
      "value": 2000000,
      "index": 47,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "1ee2924e6b5fca4ebfb8c656b26e5549c527eeb4958f6749c2f34c78e0b86fed",
      "outputIndex": 1,
      "outputGlobalIndex": 44913115,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20916444e3aa3cbc0f76a394fb7596c5a5799ea78cfab775a158a5f436dbe03691",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "916444e3aa3cbc0f76a394fb7596c5a5799ea78cfab775a158a5f436dbe03691"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20f636521cc299410f7495890cf3f0946528554f9f49c732a139a3498bd91824ee",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f636521cc299410f7495890cf3f0946528554f9f49c732a139a3498bd91824ee"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "fb93b3273cd050eaffa3018f2cbb3afa860ef64c5e2089929e27c457911896e4",
      "value": 2000000,
      "index": 48,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "2cc6e40c18328f6bac46380615a9c359849b745e6afe5c8ccbd20811a252ce34",
      "outputIndex": 1,
      "outputGlobalIndex": 44913120,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20dc9aaa6c02c4b1db7f949eb7f70ea4d60e696f78ba623234f4aaefd235860cbd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "dc9aaa6c02c4b1db7f949eb7f70ea4d60e696f78ba623234f4aaefd235860cbd"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20b2d6645912ffe870405759b9ed4e02281f00779b70c4e4ba0b42fd379795af79",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b2d6645912ffe870405759b9ed4e02281f00779b70c4e4ba0b42fd379795af79"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "48a2e2fb9ff7943c216a52b6d2c9ccaaf03f759c4653f7ca2280a497e045b773",
      "value": 2000000,
      "index": 49,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "48f45efcf3442a4a73d7e8a1c4d1b1d5c02c08804a9b0010d30a313bbcbcd573",
      "outputIndex": 1,
      "outputGlobalIndex": 44913125,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e207ec35e4a4a66e2662ad8fa705473576eeac02680c39985b5127472b66e1407ad",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7ec35e4a4a66e2662ad8fa705473576eeac02680c39985b5127472b66e1407ad"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20144883a610609c8f4bb808302e1e524a98ea8926ed75f0ea2d8625f15f5bfccd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "144883a610609c8f4bb808302e1e524a98ea8926ed75f0ea2d8625f15f5bfccd"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "c098e2b4c54b2dc063b8719c5923b0208574988dc7fba05e54081325a59bca8e",
      "value": 2000000,
      "index": 50,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "51b848212a58ee3b43a8f9eed2317a0186d045079380b9ab8e4d22eb379fe776",
      "outputIndex": 1,
      "outputGlobalIndex": 44913130,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419930,
      "ergoTree": "102404000e200c67461b5771fac3fc417b9d7464ad2b9a374e4eac5a4c5eb149e50fcbe8288d040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20c8dea5bd396984a17fc0aefafb11c46188a9a980caf2af12f7c893508db93a5b04000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20047f4bd7bbad0ee6e4dc2d6577fe878cb7d2bf780691a83b3f9dac406eb8588d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "047f4bd7bbad0ee6e4dc2d6577fe878cb7d2bf780691a83b3f9dac406eb8588d"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2014d35c9e3b59a9356cb84bbc2f390a76fa2670236b2c52cfd9bcc4be300fa3be",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "14d35c9e3b59a9356cb84bbc2f390a76fa2670236b2c52cfd9bcc4be300fa3be"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "c1fb984814aa57bafb535163ff92a4d2c59c9cddf150c3588f3e63a89ae33529",
      "value": 2000000,
      "index": 51,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "61cae406e7c5ca65be064d524ffee46634992d8122abdd7c95762a24a600e309",
      "outputIndex": 1,
      "outputGlobalIndex": 44913135,
      "outputCreatedAt": 1419925,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20309befbcdc22b7c549e1802f4a8e6036a64873a5c70395419f96cbd4b3b95ef5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "309befbcdc22b7c549e1802f4a8e6036a64873a5c70395419f96cbd4b3b95ef5"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2026852497c499e40b641c7bf3a2fd56b58b3ba776265ff3dbe9c4743332a17c13",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "26852497c499e40b641c7bf3a2fd56b58b3ba776265ff3dbe9c4743332a17c13"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "4684c6d539aee7982d4dcf10540961ef2df1dd9a954e9acdb8213a7e8af662e0",
      "value": 2000000,
      "index": 52,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "655b807b3e5f18f3dfac62b57641fdc978665fc3e3a6b71934fc234c1cf87e60",
      "outputIndex": 1,
      "outputGlobalIndex": 44913140,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20e4826206c7a12594a7eb4b44cac46968127e9d39748919bdb01a232c3b7ea537",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4826206c7a12594a7eb4b44cac46968127e9d39748919bdb01a232c3b7ea537"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20dfd27616afe9237cc5c2793ecc0b7684bc16eacc162f52c745677f1250656a8a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "dfd27616afe9237cc5c2793ecc0b7684bc16eacc162f52c745677f1250656a8a"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "dd66c2fd2cea5121ccab17d136a3eb2c3004f9d0e7c5aa35f408c1e373011a91",
      "value": 2000000,
      "index": 53,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "6d17523064a57ac2a98125a6b2355b9a79b2c168017f265d4bd02fd74ad8fc42",
      "outputIndex": 1,
      "outputGlobalIndex": 44913145,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419930,
      "ergoTree": "102404000e200c67461b5771fac3fc417b9d7464ad2b9a374e4eac5a4c5eb149e50fcbe8288d040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20c8dea5bd396984a17fc0aefafb11c46188a9a980caf2af12f7c893508db93a5b04000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2021ec3089084258295d454c433a8659455cc2adbfd18d112c5251454082109ffc",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "21ec3089084258295d454c433a8659455cc2adbfd18d112c5251454082109ffc"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e204d7f2f0010247e62edd5680d76cd5a582372344e6e1695b8d9fa669f18ad2c74",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4d7f2f0010247e62edd5680d76cd5a582372344e6e1695b8d9fa669f18ad2c74"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "bf5f9aefa16f3b369e1f9f8ad9eb5d2203940cdc04728a311aa70d8b5a4f9ed4",
      "value": 2000000,
      "index": 54,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "73a120c8cf204e41fe6ec5d4c4502b6f3e4aba46a7c87ccbf008e7c15fd2af35",
      "outputIndex": 1,
      "outputGlobalIndex": 44913150,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e201d1209681c63b24a4169589a7a9460a0adcc72ccd81bfe3b06f2198fec7b7a97",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1d1209681c63b24a4169589a7a9460a0adcc72ccd81bfe3b06f2198fec7b7a97"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2076195c281dc605d8c4bec8c8631ec33b4c303781358d30f4e614217790b85eb3",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "76195c281dc605d8c4bec8c8631ec33b4c303781358d30f4e614217790b85eb3"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "4c8f68f4c1d11089145de940e43b953851f770c3d46a6bd1392a2f89f0669526",
      "value": 2000000,
      "index": 55,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "77d2cce45c23ea24d94109c1df0810ae318f96e04f591b2bb153ee94bd65e95b",
      "outputIndex": 1,
      "outputGlobalIndex": 44913155,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20f9d1b0896da6db5d3c981594c5514383acf6155eeec792393ed39d06acdccadc",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f9d1b0896da6db5d3c981594c5514383acf6155eeec792393ed39d06acdccadc"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20086e85c87b52291057361b3f7784353764f2a912848ebf9de888c614b58c0d6e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "086e85c87b52291057361b3f7784353764f2a912848ebf9de888c614b58c0d6e"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "544301c5825786d0d8a77fc2a2f9e185d6cc8a32b1165213641108466e1144cb",
      "value": 2000000,
      "index": 56,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "906e212873e70364a539ab7d4352ce75cf7c4ce2cd67f1a716d3768aed9e150a",
      "outputIndex": 1,
      "outputGlobalIndex": 44913160,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2053e28b29c76583401b17e47678a76aa24b7a84ed4cd26f5766b944b9627636fb",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "53e28b29c76583401b17e47678a76aa24b7a84ed4cd26f5766b944b9627636fb"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20dffd77c359a4a254d07d7fc4c9b3ce2d36ba6eafb2ff90d2cc8f8147bce7838c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "dffd77c359a4a254d07d7fc4c9b3ce2d36ba6eafb2ff90d2cc8f8147bce7838c"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "e7799e076e06a2822a932e3548d69ce4df59eea172cde0d5c8bcdd2cd0b98226",
      "value": 2000000,
      "index": 57,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "90eaafe72271d9abe23ff39f0b6dfe34d886182d568d312186f64605d7ab575b",
      "outputIndex": 1,
      "outputGlobalIndex": 44913165,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "5ivrmzxYZTDDDoKD1urVYrXZG96ijTUYXQJzE6SCRJ2RR6Kj1UPWL1iN1xeHgYJEQjnQ7m3Ld9tBRRYqjzrAVAqHyGbZB3otUWZW4sUxN4E11fNUZEMQ3kVwnZxFmeSaxcXhQiTFH1cvBYWuFMRRFfaA2UMfpEgm2WoqeiJxPCojp9D7h6yMV4br5EtWTQJKRtcopBRoUgDg9mrKPAXGPZZKTZbYotgLKQ4nzD8QB5hjYJswhLmePaY3zK5eJq7NTcdoAgbNPK9nQ9UpBUgrc8RB76P8evPHMXg6HrVdQ2z3rkvYFVZqH9SmCkE8KGiLYGX7hwaXYGvPExdoVDp7qsSctsPjwgt9Vts2G76dzJzfBhEunJ33vdTEkEXX3wkjK4ZE8g5YKCwGpcED5PhtRQQtJZaZMYTZV3TpbPWy57U49cD3HVeUGR7efxUHZxYybWJ7q8i6NDm3PUwKFN63HmPYQn7TMYGkvSoizTuTAUJomiKgSnvoz2DSUzukRSRmUFA1cLqdR6s7FbeJfpbaKWX4kUGM2Xh38FdqNE94SjkQMY9bv3H5N8MgwGL2La12e1GXAdMCKJCWKRe27vjdaHJWmsKrBLuXQegGN8BaqNuvJbhrmreHAjR9tVwVkxcTUsr8u8TGUzkzN7coV8HiQV9KBMVgQ24NXPYyoCuedwfCiNwYX7PSSbvve7Dgyy5e1S6qbVpEpVtjy9NzWfRaqr5CyGDqhkfjizNG71NZu543vkacjXrrfPWqtNoXMtTRyM1pzwW9ze9aoRX6e92mVaCUB8hTnfH3Q8EstRLDJygLmp63y45tKwBVBDjog7Z6pWhTfBapMBz8Q28pMfPAR8ywfz8qvtkyQcv9SuEZWfvpZREaS5PGhBuqU79eR9bwNwS6TLu9BZV5Y1ahVFA1fMUxhXTvX69hKnNHFgZ35fZdrVrSeU4U5yGvYX7ViTqL2oFk16HLoTXgNs6KQz7PPZr373gDeRh7PfXpX5jWyxw6SRreE3jB5SUiQnZxmAbpJNVkPzFbZXcrsrS3JHSfiVeqp1tk5uNaZcX39tQTXtu4bGrpv6EiMvYPkiDhCiKd5oAVeZ8VxEGN7SP94vF9WhS2oWUMCVLU1XW2DDHejZ36Zo1Ho8fHbUEaKNbRBozY3HYnkYyJuF4wer8xJ6q4KcPppDrS5jqfAaZF6YWsdtqgse7qMeWVUPj23Vr5XG2S9sYmWA7femKuZki71S6BqZGNfit7F4vrzqNZd1L5oyLSVCtuiv3DybRnu2YEaUtrmCphsmrpAFSEwJWtFKqcC",
      "assets": [
        {
          "tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e209d57b0fed60a6f7c06e57cdf6c8fe88f5df4f44dbd41d5f43ed4b971aa13c017",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "9d57b0fed60a6f7c06e57cdf6c8fe88f5df4f44dbd41d5f43ed4b971aa13c017"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2078926cb4243a006cd29772f77e59e732b58676f3dd69c5290b887123278cc890",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "78926cb4243a006cd29772f77e59e732b58676f3dd69c5290b887123278cc890"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "8d842110976cc14fb4687583905a5bf53b5700fe827f59d4b589b8902c7dbbdd",
      "value": 2000000,
      "index": 58,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "91168627c4c61eb71544f118158c852a57460e413f6d8560e5686c70befb54cb",
      "outputIndex": 1,
      "outputGlobalIndex": 44913170,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e208be41df9ef870f6dda3c200b2d4ee25cba722257a9e36aea0033a6687e3972bb",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8be41df9ef870f6dda3c200b2d4ee25cba722257a9e36aea0033a6687e3972bb"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2037fc002c2a971e9ef1667de3a64781adf0f9c06045472a8684a860172f0ab1ae",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "37fc002c2a971e9ef1667de3a64781adf0f9c06045472a8684a860172f0ab1ae"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "dcf883cc64d42fd7358c5df7a6a6919435fb1092010ff135f6aee65eae2a46d0",
      "value": 2000000,
      "index": 59,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "ae1c896b5f94f64d50fc339521832d44166805ae12b7624857b06e9e284350b5",
      "outputIndex": 1,
      "outputGlobalIndex": 44913175,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e201f2544ae82ab043f2889c81ac9db7ab9d74bb4af631631b5ef2200879ee7fdb3",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1f2544ae82ab043f2889c81ac9db7ab9d74bb4af631631b5ef2200879ee7fdb3"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20af5de9b4546a788f11557b147b54c9d6ad0efe8246f89a421ae1e40959e32d64",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "af5de9b4546a788f11557b147b54c9d6ad0efe8246f89a421ae1e40959e32d64"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "8553235c5f86a9dd891ff613695d57ba385fdc3f0aaa42eef22d8b61e8ea769b",
      "value": 2000000,
      "index": 60,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "aea741f496df357eb4d192b7682578b690bd3d24f39ac3ed56a8b2e1b0c2eb45",
      "outputIndex": 1,
      "outputGlobalIndex": 44913180,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2025006e6ba04dedc3938b074ec5d051b3ae25f4d6480d6b24203102bb413cadea",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "25006e6ba04dedc3938b074ec5d051b3ae25f4d6480d6b24203102bb413cadea"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e202a5bd7ee03eff1e4219f42f908935a8934d96356d183967d4738a84ad2227fa0",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2a5bd7ee03eff1e4219f42f908935a8934d96356d183967d4738a84ad2227fa0"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "539fbab677d05c7971fd9ded4709e814624a1b5ef143f9e8d8b640595c8f8129",
      "value": 2000000,
      "index": 61,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "aec0e04a467d5b265b139008db1d0bc66b2cba289a9639240239b35389148443",
      "outputIndex": 1,
      "outputGlobalIndex": 44913185,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e201a4632387dca978547717b8cce0c5f9c772f10afde5b0923604e97986ebd99a3",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1a4632387dca978547717b8cce0c5f9c772f10afde5b0923604e97986ebd99a3"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20303179f137caf1494d6915ecf3e8605f760d2b6dcfb6dbd0415bad896c9364f2",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "303179f137caf1494d6915ecf3e8605f760d2b6dcfb6dbd0415bad896c9364f2"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "ff19e547a983c155f4ecfe8617cef13df520dc13aeaa32e05f158b02876adf18",
      "value": 2000000,
      "index": 62,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "af6f2f030de3826e843c7b9133b85ee343151869bca055e8a5c0b0efe0424296",
      "outputIndex": 1,
      "outputGlobalIndex": 44913190,
      "outputCreatedAt": 1419926,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e201a0f3106b93d5720b1d9e423e0a5f69e293bc01f673d28fac737975811322b26",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1a0f3106b93d5720b1d9e423e0a5f69e293bc01f673d28fac737975811322b26"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20a1916c3321e663d72e595dfd5acfe88a63633307c11cbbc38c6f9da31efc146a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a1916c3321e663d72e595dfd5acfe88a63633307c11cbbc38c6f9da31efc146a"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "ad5237cf08d7efef997a99ebbf54714cfe185555251a80fbf9f92cdf7aa4150e",
      "value": 2000000,
      "index": 63,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "bb77f76ebab05fcbfdb5deb045cdc3c9d3d28b9baa339d82f6f5725c02386745",
      "outputIndex": 1,
      "outputGlobalIndex": 44913195,
      "outputCreatedAt": 1419926,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20f9f53533ac2e6bc2965c9a6b6daff832a22cca3df388dd3caf0aeed146abcca6",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f9f53533ac2e6bc2965c9a6b6daff832a22cca3df388dd3caf0aeed146abcca6"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e201dcbca54d7ad090355d39c4ebc2f5d65479db3c3611199e7b896c16bd75b2280",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1dcbca54d7ad090355d39c4ebc2f5d65479db3c3611199e7b896c16bd75b2280"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "d21994d496510a72c67083e5a8f2995c81f64a6c3f2bd7266eebf36506a75cb5",
      "value": 2000000,
      "index": 64,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "bf5c8ce580f7868822223448f2e1f2859cdd41de7c42a4740eea710a8acf122b",
      "outputIndex": 1,
      "outputGlobalIndex": 44913200,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2094dae57d9bf0d20e561362750c29f17d6b298544b16614a8962be541e2061865",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "94dae57d9bf0d20e561362750c29f17d6b298544b16614a8962be541e2061865"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e202dd86bfebfa8d9d012449acafeb8d5947cfc3f2793f2b81523064100838d1a42",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2dd86bfebfa8d9d012449acafeb8d5947cfc3f2793f2b81523064100838d1a42"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "5a7213ab8b8cd95997373dc13815f75e4e3ab0d22e9b88255843cc6873b60b6a",
      "value": 2000000,
      "index": 65,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "eac8d7ad1767dee9c9d4358beecfa6a645740905e3c840cdbb1883e9dc5e4485",
      "outputIndex": 1,
      "outputGlobalIndex": 44913205,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20451e6a391af3b38336460dfab25c283697256a195638eeb9627b3b687f42009a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "451e6a391af3b38336460dfab25c283697256a195638eeb9627b3b687f42009a"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e208d6eec397ca15e6f7bdca8d6c9dede645dc5fb2a620590bb98b186bd1a9fe463",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8d6eec397ca15e6f7bdca8d6c9dede645dc5fb2a620590bb98b186bd1a9fe463"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "9e1567813a649f621f42ea2a77abcca7a421639da18ae2da13d3bea3d48bef4b",
      "value": 2000000,
      "index": 66,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "f67847b23d1363e845d3bc42255b5dd96b42e4a79cbc618d4ebeb6a85e92c2fb",
      "outputIndex": 1,
      "outputGlobalIndex": 44913210,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20942c960c9d7843f883cc67b87ed328042109968180ab180e14a42f0600df5f41",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "942c960c9d7843f883cc67b87ed328042109968180ab180e14a42f0600df5f41"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20831029e09e1ccad32f68b23f74501fb71546cc163494db8a1fdb8015db92996b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "831029e09e1ccad32f68b23f74501fb71546cc163494db8a1fdb8015db92996b"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "c5ba8c9c077845ab79f3bca068c37257d145645ad66ab52fd979c688b98322d8",
      "value": 2000000,
      "index": 67,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "d21de8636e122450baaa4bf29e35537b96b4a6ff6df65b571d19989cc8e80f09",
      "outputIndex": 1,
      "outputGlobalIndex": 44913215,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20329d66895b8d9c84947bfe3d72335158ada0fdd8ac8643f836c81ec85785e01a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "329d66895b8d9c84947bfe3d72335158ada0fdd8ac8643f836c81ec85785e01a"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e208c2b3c07bdd504275ff9560ee1ef42ae924681a1a7a6232eac5dc397189e97ad",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8c2b3c07bdd504275ff9560ee1ef42ae924681a1a7a6232eac5dc397189e97ad"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "7645ed5350ec30b923de8a790da5790485859b040aa81b65f6b4511153e372c6",
      "value": 2000000,
      "index": 68,
      "spendingProof": null,
      "outputBlockId": "1fd1fb7281a50fb51c880d96d83338247d57b263c08668d49e1ba5d7813453b3",
      "outputTransactionId": "634451589d0a4ce1e5b55003511826deb88652d83edde29f1e775ef7e3220cde",
      "outputIndex": 1,
      "outputGlobalIndex": 44913220,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419930,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20f09d0ef1a70f975be6fd96e4d8734b450d9c3b8aed185bdddc44784106970308",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f09d0ef1a70f975be6fd96e4d8734b450d9c3b8aed185bdddc44784106970308"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20c5fbc211d7d5a0d3fef3febcce6fc6e2ef11ad1ab940e1e6cdfcc05ff2af44f7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c5fbc211d7d5a0d3fef3febcce6fc6e2ef11ad1ab940e1e6cdfcc05ff2af44f7"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "582ab503467d9e27a1bc68f135d5861affbe9bc8a44582f26685adbe2b53f4e6",
      "value": 2000000,
      "index": 69,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "07b0b307c699968778b806cdb275614d40e88472f02e7a33a94b0472e2305a41",
      "outputIndex": 1,
      "outputGlobalIndex": 44913240,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20cc0718bb04b077042722255a5bc711370613aedd2983b214b83d562f630d00d0",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "cc0718bb04b077042722255a5bc711370613aedd2983b214b83d562f630d00d0"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20710e7b6b6375637f0d6b2865f6d9cc8542c7edc77db012cb3e99636435878dc4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "710e7b6b6375637f0d6b2865f6d9cc8542c7edc77db012cb3e99636435878dc4"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "916c21bcbfe9bb3775ad6cc59afa8bf0eb8ab11dec5fb0fea3f51e8795471d09",
      "value": 2000000,
      "index": 70,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "1dc1ba8d95687346bdc23724f52aeb2ff4a96a8d9330fc56d78debc94214357b",
      "outputIndex": 1,
      "outputGlobalIndex": 44913245,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20d7b7e5159efc9cd6a29c9ca4bb017b52bfdc26c0ebbbba8806a753e04849e2f5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d7b7e5159efc9cd6a29c9ca4bb017b52bfdc26c0ebbbba8806a753e04849e2f5"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e204af5968263282423b64d43a097f79f867a7fa800fca8ae9cea4a4409b432eb00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4af5968263282423b64d43a097f79f867a7fa800fca8ae9cea4a4409b432eb00"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "472ff01512602e2b967779944bdde6392eaba73bfafae8e661ebe4073b557e9f",
      "value": 2000000,
      "index": 71,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "21d0b9094bd6fc74241698f9a9b70c5e5254b2793276d05718d91940774aeff2",
      "outputIndex": 1,
      "outputGlobalIndex": 44913250,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e207ef8b1138dd2d3472274a5bc69884aa811658911843d15ed5d0f944efe6ca6ef",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7ef8b1138dd2d3472274a5bc69884aa811658911843d15ed5d0f944efe6ca6ef"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20b1ce562e92ec51625def363cbe4ea175bd1c3a6f8da3d2b2d4c6b62c39988136",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b1ce562e92ec51625def363cbe4ea175bd1c3a6f8da3d2b2d4c6b62c39988136"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "fa21a4b8b7a9a363057d8b2b0e3b6e1498d6731eac8160518914596a7fb56b45",
      "value": 2000000,
      "index": 72,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "2e94943f3c802cec892ac02902e4c4c0ea15453600e21edc2fc8c05acf709bef",
      "outputIndex": 1,
      "outputGlobalIndex": 44913255,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20852a3bb38f65f81670768abc667d83b8785d0dc16ae476a43444e6dd0dc02bda",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "852a3bb38f65f81670768abc667d83b8785d0dc16ae476a43444e6dd0dc02bda"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20d60f349e8d5b34ad476cd8d2755cdc1f4621472fc92b3fcca380e8b921f5b69b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d60f349e8d5b34ad476cd8d2755cdc1f4621472fc92b3fcca380e8b921f5b69b"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "fe74aa41cd1dfdc22c64479c4121e39e9975e4e080aa2008c2090b5873279f54",
      "value": 2000000,
      "index": 73,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "3730c016c34c173154d08e0b40ff6629746ff9c81c8ff7d4c0333d75f811e818",
      "outputIndex": 1,
      "outputGlobalIndex": 44913260,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "5ivrmzxYZTDDDoKD1urVYrXZG96ijTUYXQJzE6SCRJ2RR6Kj1UPWL1iN1xeHgYJEQjnQ7m3Ld9tBRRYqjzrAVAqHyGbZB3otUWZW4sUxN4E11fNUZEMQ3kVwnZxFmeSaxcXhQiTFH1cvBYWuFMRRFfaA2UMfpEgm2WoqeiJxPCojp9D7h6yMV4br5EtWTQJKRtcopBRoUgDg9mrKPAXGPZZKTZbYotgLKQ4nzD8QB5hjYJswhLmePaY3zK5eJq7NTcdoAgbNPK9nQ9UpBUgrc8RB76P8evPHMXg6HrVdQ2z3rkvYFVZqH9SmCkE8KGiLYGX7hwaXYGvPExdoVDp7qsSctsPjwgt9Vts2G76dzJzfBhEunJ33vdTEkEXX3wkjK4ZE8g5YKCwGpcED5PhtRQQtJZaZMYTZV3TpbPWy57U49cD3HVeUGR7efxUHZxYybWJ7q8i6NDm3PUwKFN63HmPYQn7TMYGkvSoizTuTAUJomiKgSnvoz2DSUzukRSRmUFA1cLqdR6s7FbeJfpbaKWX4kUGM2Xh38FdqNE94SjkQMY9bv3H5N8MgwGL2La12e1GXAdMCKJCWKRe27vjdaHJWmsKrBLuXQegGN8BaqNuvJbhrmreHAjR9tVwVkxcTUsr8u8TGUzkzN7coV8HiQV9KBMVgQ24NXPYyoCuedwfCiNwYX7PSSbvve7Dgyy5e1S6qbVpEpVtjy9NzWfRaqr5CyGDqhkfjizNG71NZu543vkacjXrrfPWqtNoXMtTRyM1pzwW9ze9aoRX6e92mVaCUB8hTnfH3Q8EstRLDJygLmp63y45tKwBVBDjog7Z6pWhTfBapMBz8Q28pMfPAR8ywfz8qvtkyQcv9SuEZWfvpZREaS5PGhBuqU79eR9bwNwS6TLu9BZV5Y1ahVFA1fMUxhXTvX69hKnNHFgZ35fZdrVrSeU4U5yGvYX7ViTqL2oFk16HLoTXgNs6KQz7PPZr373gDeRh7PfXpX5jWyxw6SRreE3jB5SUiQnZxmAbpJNVkPzFbZXcrsrS3JHSfiVeqp1tk5uNaZcX39tQTXtu4bGrpv6EiMvYPkiDhCiKd5oAVeZ8VxEGN7SP94vF9WhS2oWUMCVLU1XW2DDHejZ36Zo1Ho8fHbUEaKNbRBozY3HYnkYyJuF4wer8xJ6q4KcPppDrS5jqfAaZF6YWsdtqgse7qMeWVUPj23Vr5XG2S9sYmWA7femKuZki71S6BqZGNfit7F4vrzqNZd1L5oyLSVCtuiv3DybRnu2YEaUtrmCphsmrpAFSEwJWtFKqcC",
      "assets": [
        {
          "tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2081200836f920336245ba3f0e9c860f065c3802e480058d284eb9a0ac93667505",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "81200836f920336245ba3f0e9c860f065c3802e480058d284eb9a0ac93667505"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20396e923e6955ad43d7b13f905291e19912c545b734a05fcdf59f7b764792188d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "396e923e6955ad43d7b13f905291e19912c545b734a05fcdf59f7b764792188d"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "b7a09679a4a0b4a0f090afb3b55bfd3ea6d07af0e6ba3705fec6454a399396c3",
      "value": 2000000,
      "index": 74,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "37e1bdb84893a12a9a7da08ac17ff5373258a418e1aae17612acb9fffd850e06",
      "outputIndex": 1,
      "outputGlobalIndex": 44913265,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2094ebbcd739012a1742523e1f6a28372ca3b80b87268077d8fd5bd8320781e956",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "94ebbcd739012a1742523e1f6a28372ca3b80b87268077d8fd5bd8320781e956"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2019d5d9427d6a30845d3d7d059ea82e367a74d353933c529541016ceb42802761",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "19d5d9427d6a30845d3d7d059ea82e367a74d353933c529541016ceb42802761"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "b6060d30a2012d385d67772bf136993cc31a24507d72c4c2d688449bdf5dba8e",
      "value": 2000000,
      "index": 75,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "38acb7bd29a5781369425fa265a3f87d9abc6fba4b44ffa3376f54ab9b8a14e4",
      "outputIndex": 1,
      "outputGlobalIndex": 44913270,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419931,
      "ergoTree": "102404000e200c67461b5771fac3fc417b9d7464ad2b9a374e4eac5a4c5eb149e50fcbe8288d040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20c8dea5bd396984a17fc0aefafb11c46188a9a980caf2af12f7c893508db93a5b04000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20f76916ee079267eac485fc60b0c6461e4063ff7e97417919cc24f96b0791ec9d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f76916ee079267eac485fc60b0c6461e4063ff7e97417919cc24f96b0791ec9d"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20ae435724c22959c3699ddcef7d060b3719c1e61e39d055766610546442e073d5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ae435724c22959c3699ddcef7d060b3719c1e61e39d055766610546442e073d5"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "7f9580ec16e1a624887acd5ce2c9208502315f3a24748317b598defc994ae4f9",
      "value": 2000000,
      "index": 76,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "3effc875bde19e25cb7fe26a79b4cba72b75168c5440830832490b3f4558895a",
      "outputIndex": 1,
      "outputGlobalIndex": 44913275,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e205252ecb1f1f61787cce1dc38b5bc1b71f55fa8a606eca25b9b3f596932cf4ef6",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5252ecb1f1f61787cce1dc38b5bc1b71f55fa8a606eca25b9b3f596932cf4ef6"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e202a830f5816b684483b13c11feb1aa6e6137201107969c2446fc1550950ae73e7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2a830f5816b684483b13c11feb1aa6e6137201107969c2446fc1550950ae73e7"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "6981feeef1f4d9a1429330fc75c0ccd02560044078d988c40e92bfbc04920b1c",
      "value": 2000000,
      "index": 77,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "43143660e31bdfc663e1ad6346f504577cd5ae2d282224ee5e0f9b019dea04b6",
      "outputIndex": 1,
      "outputGlobalIndex": 44913280,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "5ivrmzxYZTDDDoKD1urVYrXZG96ijTUYXQJzE6SCRJ2RR6Kj1UPWL1iN1xeHgYJEQjnQ7m3Ld9tBRRYqjzrAVAqHyGbZB3otUWZW4sUxN4E11fNUZEMQ3kVwnZxFmeSaxcXhQiTFH1cvBYWuFMRRFfaA2UMfpEgm2WoqeiJxPCojp9D7h6yMV4br5EtWTQJKRtcopBRoUgDg9mrKPAXGPZZKTZbYotgLKQ4nzD8QB5hjYJswhLmePaY3zK5eJq7NTcdoAgbNPK9nQ9UpBUgrc8RB76P8evPHMXg6HrVdQ2z3rkvYFVZqH9SmCkE8KGiLYGX7hwaXYGvPExdoVDp7qsSctsPjwgt9Vts2G76dzJzfBhEunJ33vdTEkEXX3wkjK4ZE8g5YKCwGpcED5PhtRQQtJZaZMYTZV3TpbPWy57U49cD3HVeUGR7efxUHZxYybWJ7q8i6NDm3PUwKFN63HmPYQn7TMYGkvSoizTuTAUJomiKgSnvoz2DSUzukRSRmUFA1cLqdR6s7FbeJfpbaKWX4kUGM2Xh38FdqNE94SjkQMY9bv3H5N8MgwGL2La12e1GXAdMCKJCWKRe27vjdaHJWmsKrBLuXQegGN8BaqNuvJbhrmreHAjR9tVwVkxcTUsr8u8TGUzkzN7coV8HiQV9KBMVgQ24NXPYyoCuedwfCiNwYX7PSSbvve7Dgyy5e1S6qbVpEpVtjy9NzWfRaqr5CyGDqhkfjizNG71NZu543vkacjXrrfPWqtNoXMtTRyM1pzwW9ze9aoRX6e92mVaCUB8hTnfH3Q8EstRLDJygLmp63y45tKwBVBDjog7Z6pWhTfBapMBz8Q28pMfPAR8ywfz8qvtkyQcv9SuEZWfvpZREaS5PGhBuqU79eR9bwNwS6TLu9BZV5Y1ahVFA1fMUxhXTvX69hKnNHFgZ35fZdrVrSeU4U5yGvYX7ViTqL2oFk16HLoTXgNs6KQz7PPZr373gDeRh7PfXpX5jWyxw6SRreE3jB5SUiQnZxmAbpJNVkPzFbZXcrsrS3JHSfiVeqp1tk5uNaZcX39tQTXtu4bGrpv6EiMvYPkiDhCiKd5oAVeZ8VxEGN7SP94vF9WhS2oWUMCVLU1XW2DDHejZ36Zo1Ho8fHbUEaKNbRBozY3HYnkYyJuF4wer8xJ6q4KcPppDrS5jqfAaZF6YWsdtqgse7qMeWVUPj23Vr5XG2S9sYmWA7femKuZki71S6BqZGNfit7F4vrzqNZd1L5oyLSVCtuiv3DybRnu2YEaUtrmCphsmrpAFSEwJWtFKqcC",
      "assets": [
        {
          "tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e209e8e898d814c6fa197d363a3b86c9dc83cf7da0653b34053ba9b7ad4a9915d3a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "9e8e898d814c6fa197d363a3b86c9dc83cf7da0653b34053ba9b7ad4a9915d3a"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20da18a701b686c18a4ab2107ff369f3bce0635b0e8ed36263e4c2ccbf3cade541",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "da18a701b686c18a4ab2107ff369f3bce0635b0e8ed36263e4c2ccbf3cade541"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "d7407b290cc644844ff10c008a70022c6f63316b1c3c95ef41cf516ade5de758",
      "value": 2000000,
      "index": 78,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "5ccf581defd2d91a018cc38911e9c7f47b824032a9cb1661ec4d4de54dc4f64b",
      "outputIndex": 1,
      "outputGlobalIndex": 44913285,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20f3996e1ea0db8fb08ad54adc396da83dd158c571d60f8241f480afbc2a606617",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f3996e1ea0db8fb08ad54adc396da83dd158c571d60f8241f480afbc2a606617"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2099b191a5305d43b3fd58b96d93c338e9e957bcc65d893ec55e53d5c754f40ce6",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "99b191a5305d43b3fd58b96d93c338e9e957bcc65d893ec55e53d5c754f40ce6"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "164f402300a7bd7256eedbb96d7ff98baaae7f591f1c5329ddb0e718cd66b39d",
      "value": 2000000,
      "index": 79,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "5e45ee6ce91e8f78175c5ca8af585a1b6ad676a98aa69f74417304a23156f3f1",
      "outputIndex": 1,
      "outputGlobalIndex": 44913290,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e206b9a44a2b2d58f7049a288c911d955e8d70558ecb2705437f908beb783ddce00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6b9a44a2b2d58f7049a288c911d955e8d70558ecb2705437f908beb783ddce00"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20c82625d3b71a1e961505febe22a1b1d5de1c8478271f454a4a6d2cb152e7531e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c82625d3b71a1e961505febe22a1b1d5de1c8478271f454a4a6d2cb152e7531e"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "f0cc7c12d98aee472c57f569cd82891a25a759b9434650b10626f8777e6b1fe3",
      "value": 2000000,
      "index": 80,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "62ad9dfe902f653a6492344832b2651924aaf980c802bbf2ce066dca21c3e2a2",
      "outputIndex": 1,
      "outputGlobalIndex": 44913295,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e209fd5177131205e443ba2f60bcbc6f23954e5c75fa58038fd6547394fc7f951cc",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "9fd5177131205e443ba2f60bcbc6f23954e5c75fa58038fd6547394fc7f951cc"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20b26cd20b63ebf724c471b7b870924b6e509695995a537026f55c356119ba0fe5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b26cd20b63ebf724c471b7b870924b6e509695995a537026f55c356119ba0fe5"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "11c6592e8ce8cc3d4ca9bae41efcfbeeb8d5846c2c4199164b34b90a1b7fd121",
      "value": 2000000,
      "index": 81,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "69d016e5e406fa08d7a0890fd6ae330b2bc2dd5c3c9f6b6fa09fef02e208c589",
      "outputIndex": 1,
      "outputGlobalIndex": 44913300,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419931,
      "ergoTree": "102404000e200c67461b5771fac3fc417b9d7464ad2b9a374e4eac5a4c5eb149e50fcbe8288d040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20c8dea5bd396984a17fc0aefafb11c46188a9a980caf2af12f7c893508db93a5b04000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20cd3863c3556e8da87295be7fc2c1d61fd0189a324d323bf60e607553f4a4e2f9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "cd3863c3556e8da87295be7fc2c1d61fd0189a324d323bf60e607553f4a4e2f9"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2080fd6fc5186a4f8214f84aaa7624bda289a782627795be4bc65f1c28afa48008",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "80fd6fc5186a4f8214f84aaa7624bda289a782627795be4bc65f1c28afa48008"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "10358ebf65def03ad1b6c2f61069123ececa8c9b70820c0368783ee52f9412bc",
      "value": 2000000,
      "index": 82,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "6ca1599cfdcea0eaa4210fc8f9dfa734503f720a6af8520f3ef819b00d3e5108",
      "outputIndex": 1,
      "outputGlobalIndex": 44913305,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e204ccf99baa9ef1f7a72a9ff58e4da6ccd5a9b839c1cd152a3e2ba0bc719457e62",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4ccf99baa9ef1f7a72a9ff58e4da6ccd5a9b839c1cd152a3e2ba0bc719457e62"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2023677fd00cb47ce8136c88ce9945c84bd806661b426996e0c65dbc1c9e483873",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "23677fd00cb47ce8136c88ce9945c84bd806661b426996e0c65dbc1c9e483873"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "308cf9e25f5132c197e34a5e2e63036469225b265eba1a31ba643a7d90143743",
      "value": 2000000,
      "index": 83,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "73a7ff368f5cee35eacc433f0ca8f63fb7c34891f429000a0e5874f841ac3806",
      "outputIndex": 1,
      "outputGlobalIndex": 44913310,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e208fec0a9930a4a1c38469bd87d5b2f353d2b84570664f5c8f7b2a848d9a419cac",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8fec0a9930a4a1c38469bd87d5b2f353d2b84570664f5c8f7b2a848d9a419cac"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e204f6f14e4bf8c2056c10447f7b00ac60c8223524ff8f25ab07d3199e000ab750d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4f6f14e4bf8c2056c10447f7b00ac60c8223524ff8f25ab07d3199e000ab750d"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "0d15c5499e7028e570af8815cbeffee9c57b56b7cbd58fad4168a988b952efbc",
      "value": 2000000,
      "index": 84,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "75f56e44ec4c4c4e9643a7abc54242f1f8bfdea34f112cafa8f7bc6b3752bc63",
      "outputIndex": 1,
      "outputGlobalIndex": 44913315,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "5ivrmzxYZTDDDoKD1urVYrXZG96ijTUYXQJzE6SCRJ2RR6Kj1UPWL1iN1xeHgYJEQjnQ7m3Ld9tBRRYqjzrAVAqHyGbZB3otUWZW4sUxN4E11fNUZEMQ3kVwnZxFmeSaxcXhQiTFH1cvBYWuFMRRFfaA2UMfpEgm2WoqeiJxPCojp9D7h6yMV4br5EtWTQJKRtcopBRoUgDg9mrKPAXGPZZKTZbYotgLKQ4nzD8QB5hjYJswhLmePaY3zK5eJq7NTcdoAgbNPK9nQ9UpBUgrc8RB76P8evPHMXg6HrVdQ2z3rkvYFVZqH9SmCkE8KGiLYGX7hwaXYGvPExdoVDp7qsSctsPjwgt9Vts2G76dzJzfBhEunJ33vdTEkEXX3wkjK4ZE8g5YKCwGpcED5PhtRQQtJZaZMYTZV3TpbPWy57U49cD3HVeUGR7efxUHZxYybWJ7q8i6NDm3PUwKFN63HmPYQn7TMYGkvSoizTuTAUJomiKgSnvoz2DSUzukRSRmUFA1cLqdR6s7FbeJfpbaKWX4kUGM2Xh38FdqNE94SjkQMY9bv3H5N8MgwGL2La12e1GXAdMCKJCWKRe27vjdaHJWmsKrBLuXQegGN8BaqNuvJbhrmreHAjR9tVwVkxcTUsr8u8TGUzkzN7coV8HiQV9KBMVgQ24NXPYyoCuedwfCiNwYX7PSSbvve7Dgyy5e1S6qbVpEpVtjy9NzWfRaqr5CyGDqhkfjizNG71NZu543vkacjXrrfPWqtNoXMtTRyM1pzwW9ze9aoRX6e92mVaCUB8hTnfH3Q8EstRLDJygLmp63y45tKwBVBDjog7Z6pWhTfBapMBz8Q28pMfPAR8ywfz8qvtkyQcv9SuEZWfvpZREaS5PGhBuqU79eR9bwNwS6TLu9BZV5Y1ahVFA1fMUxhXTvX69hKnNHFgZ35fZdrVrSeU4U5yGvYX7ViTqL2oFk16HLoTXgNs6KQz7PPZr373gDeRh7PfXpX5jWyxw6SRreE3jB5SUiQnZxmAbpJNVkPzFbZXcrsrS3JHSfiVeqp1tk5uNaZcX39tQTXtu4bGrpv6EiMvYPkiDhCiKd5oAVeZ8VxEGN7SP94vF9WhS2oWUMCVLU1XW2DDHejZ36Zo1Ho8fHbUEaKNbRBozY3HYnkYyJuF4wer8xJ6q4KcPppDrS5jqfAaZF6YWsdtqgse7qMeWVUPj23Vr5XG2S9sYmWA7femKuZki71S6BqZGNfit7F4vrzqNZd1L5oyLSVCtuiv3DybRnu2YEaUtrmCphsmrpAFSEwJWtFKqcC",
      "assets": [
        {
          "tokenId": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e208ff3e3b368707fba5f6373db7423ab3486b5317bb6d703de4561a4e25ed6c3e6",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8ff3e3b368707fba5f6373db7423ab3486b5317bb6d703de4561a4e25ed6c3e6"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20806ebc14ccaabdbb3f64f320e88f6f8f7943801dfc71276b6b8b53dc5d988a2d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "806ebc14ccaabdbb3f64f320e88f6f8f7943801dfc71276b6b8b53dc5d988a2d"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "0fe600f11288414f379600c0794e62f08ffe9fab513f5627d0374877be2a2fc8",
      "value": 2000000,
      "index": 85,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "86b0fdf284c8c606290fb4ae71b8a480980513003d0b7d7275d8e99aea9ba522",
      "outputIndex": 1,
      "outputGlobalIndex": 44913320,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419931,
      "ergoTree": "102404000e200c67461b5771fac3fc417b9d7464ad2b9a374e4eac5a4c5eb149e50fcbe8288d040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20c8dea5bd396984a17fc0aefafb11c46188a9a980caf2af12f7c893508db93a5b04000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20497e21752b5a1b85c8b814a205d2f5257ba08e2bccd92fcdd9dc80125917a07b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "497e21752b5a1b85c8b814a205d2f5257ba08e2bccd92fcdd9dc80125917a07b"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20566899c61c89d177f1cdedaa7689c854cec4d344536e0a2b821f6f87cb491206",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "566899c61c89d177f1cdedaa7689c854cec4d344536e0a2b821f6f87cb491206"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "ba3d69e97f57c6f775790c85c6a80bb7133ed8b896e299b8e23294e212dd2e3f",
      "value": 2000000,
      "index": 86,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "8f66a3feec99c8753502cda70d0b991e57b2a04447f3e6c380e115dabe9495eb",
      "outputIndex": 1,
      "outputGlobalIndex": 44913325,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2074d14ee349bc54781627bafddea455bf045eac5941d64e2175704a150b8a070d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "74d14ee349bc54781627bafddea455bf045eac5941d64e2175704a150b8a070d"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2081558cb2145eb313bca66acb07485a8634c48acd8f0963277f4de22e83313a1d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "81558cb2145eb313bca66acb07485a8634c48acd8f0963277f4de22e83313a1d"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "259d47b4bb54787973195a9a03e7736420da4d93b9f199714de3973dd356c6d1",
      "value": 2000000,
      "index": 87,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "9221918423ffbb61900f2785894d920065670e3f9e1314bf41613240f66d0bc9",
      "outputIndex": 1,
      "outputGlobalIndex": 44913330,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e203b9aa597064dc8b0c58f7a9e1463269e80f4c69e49e133c437ef9d70e19fdf53",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "3b9aa597064dc8b0c58f7a9e1463269e80f4c69e49e133c437ef9d70e19fdf53"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20394318db5315b58b1583fedcb0304f4c0f268aff782c364425425aad95189dba",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "394318db5315b58b1583fedcb0304f4c0f268aff782c364425425aad95189dba"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "50adc4d049e77eeeb2df394d92a9f87e3ab7d39883bdcd77781ef0d890c73946",
      "value": 2000000,
      "index": 88,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "95c34aa593d676e83f9fe2a0b2971a5fe76d02f65cdf48e8420e812418012b75",
      "outputIndex": 1,
      "outputGlobalIndex": 44913335,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e205e9116ec8a5fe109fcb28d46fc9b3f5e6aa8a37d88cdbf0ba1d6f7f0c974b0f7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5e9116ec8a5fe109fcb28d46fc9b3f5e6aa8a37d88cdbf0ba1d6f7f0c974b0f7"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20c5f7dd41946c1afe35d676fe546f6e106222377a1559765181d0fa68a37e5c7c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c5f7dd41946c1afe35d676fe546f6e106222377a1559765181d0fa68a37e5c7c"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "33306241b82c26eac49852d9edf7863432eb41c0b5d8d81de079c28b3ebf3f35",
      "value": 2000000,
      "index": 89,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "9c10b255bc5469a5a3e162fe5bc3dc21f00b30f5e1231eac01c512d50900bc9a",
      "outputIndex": 1,
      "outputGlobalIndex": 44913340,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2093d22cfec531423b8d7059ad6b0eacc4bcf10b2f852adbb94726bfd69e1adea9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "93d22cfec531423b8d7059ad6b0eacc4bcf10b2f852adbb94726bfd69e1adea9"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2067ea71614fe7c02840754d69249dacacd5f50debca1f4b2114085c7fe31318c0",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "67ea71614fe7c02840754d69249dacacd5f50debca1f4b2114085c7fe31318c0"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "7067c80fb144e7f735b4a27a767aca6edf78a8b98254f9136efd4f933bc55818",
      "value": 2000000,
      "index": 90,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "a90fec6ecb8a8a5081863d0ce278b7076502c7fba77d1ff4de0382ce1940b47d",
      "outputIndex": 1,
      "outputGlobalIndex": 44913345,
      "outputCreatedAt": 1419929,
      "outputSettledAt": 1419931,
      "ergoTree": "102404000e200c67461b5771fac3fc417b9d7464ad2b9a374e4eac5a4c5eb149e50fcbe8288d040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20c8dea5bd396984a17fc0aefafb11c46188a9a980caf2af12f7c893508db93a5b04000e20eca7776f5dedd9ef238106e151f0eaf8b1a308190a2ee59652eceb28068c766004020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20042df2f343af2604db80e5b283116d5b563ae0a887350f8fc3a752abf9b62960",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "042df2f343af2604db80e5b283116d5b563ae0a887350f8fc3a752abf9b62960"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20491a760fb07dad11f4b5c6a702431bab4c5d80afb216ee4915614c7bbb5be9f1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "491a760fb07dad11f4b5c6a702431bab4c5d80afb216ee4915614c7bbb5be9f1"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "cecc35c697a4e0980b0cf67c7a8837578f1cc371b988bfd448f0e82e5a627c68",
      "value": 2000000,
      "index": 91,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "af62ab1a66d094c43e3f7530358ab5a68def2519ea91cd003367744dba1a9b74",
      "outputIndex": 1,
      "outputGlobalIndex": 44913350,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20ca2e79041d6386afb8ec6d6f74e579821cd3059f8c76db4c562c270ff1c9c698",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ca2e79041d6386afb8ec6d6f74e579821cd3059f8c76db4c562c270ff1c9c698"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20bf5156010e88cd244ccc59ff292e7e98def941a10120c00693e6985811c2baf1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bf5156010e88cd244ccc59ff292e7e98def941a10120c00693e6985811c2baf1"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "80325c1370aeb5a3b1e208b035de6ea31d09a0db167213e13f424ab4aff1562f",
      "value": 2000000,
      "index": 92,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "b21a953e046167b65cc390daf6c2149ec53272d83ac418a1bfd8625e56484a30",
      "outputIndex": 1,
      "outputGlobalIndex": 44913355,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2046c266a044e977c0ab839f301dca45f4f35c3aba25965713523ce1f6df72b193",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "46c266a044e977c0ab839f301dca45f4f35c3aba25965713523ce1f6df72b193"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2094bb53271d7e922d37a2c4ae8e37ba692dfe8ac50d9f91b5322ceb5cc8e7519f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "94bb53271d7e922d37a2c4ae8e37ba692dfe8ac50d9f91b5322ceb5cc8e7519f"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "c5e08b6ba4b85d8a35b2b8c703c281a83f4cb656f2fbefa17453f2b70356427a",
      "value": 2000000,
      "index": 93,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "b33612cc878e10d356a61be826c9195d870f128af2778a70d16abd5ba97c154e",
      "outputIndex": 1,
      "outputGlobalIndex": 44913360,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20dd6e1620c63423f28efdbed8f59fb5109dab5adaa70c0e7dcecc7abb2ae7fa9e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "dd6e1620c63423f28efdbed8f59fb5109dab5adaa70c0e7dcecc7abb2ae7fa9e"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20b95fc99fdf12764ef265a5c03e1facd1ef6bbcee36e36dc92c159fe28b89fa6e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b95fc99fdf12764ef265a5c03e1facd1ef6bbcee36e36dc92c159fe28b89fa6e"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "f56bc765a90e99b02a8246fb00f5e28e6f584382fd425a6dcde228b36c22ab28",
      "value": 2000000,
      "index": 94,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "b9ff708bb3ead996d6dc6b2f3ec7360f9244323189055260940c09371b7e4a3b",
      "outputIndex": 1,
      "outputGlobalIndex": 44913365,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20333810ee13abfd784cfce3cb6e4fc9d2eb6e75d4884937892de6fbbc8d3a7ce6",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "333810ee13abfd784cfce3cb6e4fc9d2eb6e75d4884937892de6fbbc8d3a7ce6"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20f5abc505449a5f5a719bba9e29a112def229abdc18f11ea73499871987d2c8d5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f5abc505449a5f5a719bba9e29a112def229abdc18f11ea73499871987d2c8d5"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "b867bd4b5d02af1799b4f7a62f4714aaef4b1ce6cbfe6a8523cc8329e0b48c9d",
      "value": 2000000,
      "index": 95,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "bd60ea730072c81478aac7c190e19105997e147613a351f075b36677e6ac2dcb",
      "outputIndex": 1,
      "outputGlobalIndex": 44913370,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e206688602460b5e65381f6d3bd60ebe459b5bdc6ec3c1d4824b37a6edba227f400",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6688602460b5e65381f6d3bd60ebe459b5bdc6ec3c1d4824b37a6edba227f400"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e208d1a71bdc52fbf84b71caf6ae2036a2025c505ddb2d023cdddc2852e4796484f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8d1a71bdc52fbf84b71caf6ae2036a2025c505ddb2d023cdddc2852e4796484f"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "0b5b11aade618595f652ddbbcb67a7aaef1cbfe600b472e186efab0592345fdb",
      "value": 2000000,
      "index": 96,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "d38ce4be361b79b9df83f39288929229f95014ab0f80c46d46795becfd446771",
      "outputIndex": 1,
      "outputGlobalIndex": 44913375,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20f12c77b75ea83cf870955b86fae82f3fd2081ce7d03186b193e0ed8747d1d7e9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f12c77b75ea83cf870955b86fae82f3fd2081ce7d03186b193e0ed8747d1d7e9"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2056af1b1cf3c3061233c95adfaa7871a94223b971e837dfe0384f58b4f9539c98",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "56af1b1cf3c3061233c95adfaa7871a94223b971e837dfe0384f58b4f9539c98"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "e162fdbee1ed1c0f40de193c11e35737fd9aafaba923ca11fac6421237c108f0",
      "value": 2000000,
      "index": 97,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "e4520da36cccc8b480ef42bec68bd06e179af073bba792fc92b0abc3f0a8e9ee",
      "outputIndex": 1,
      "outputGlobalIndex": 44913380,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2029beed9c0f62f20b8bafca761a0d0665f66ec8ce4f8678ecb5d389584f6534a4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "29beed9c0f62f20b8bafca761a0d0665f66ec8ce4f8678ecb5d389584f6534a4"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20ebe0f81eade455a9fe990f8300a84a1e508be4611efe5b6d04bbcb1189e46079",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ebe0f81eade455a9fe990f8300a84a1e508be4611efe5b6d04bbcb1189e46079"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "b53becc762f8142f5266fcfa14ee96ff36384ee63719cc9f3c77e309d1c7755c",
      "value": 2000000,
      "index": 98,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "e56f1815e2b6b0f683758944e0d86239bc16525fcdc0738e1779315885534965",
      "outputIndex": 1,
      "outputGlobalIndex": 44913385,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20cacc2b189e0300a41a77a080699ff25b933eb71bad64297ecb56eeeea5855439",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "cacc2b189e0300a41a77a080699ff25b933eb71bad64297ecb56eeeea5855439"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20a72fbf810bba0676c20c69bc06c0aaf2af7693cda048755cd7156549381e075e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a72fbf810bba0676c20c69bc06c0aaf2af7693cda048755cd7156549381e075e"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "fc28d936ac55d53cbd0d079152cb2ba8a793a95bfc4b77e3df4c929db6f7f98a",
      "value": 2000000,
      "index": 99,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "ebd4d48b33bad7e5ca63e53b6a1c85ea6f84585dde7ece439b879311a291bafe",
      "outputIndex": 1,
      "outputGlobalIndex": 44913390,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e200aedbdc717d62dd354f6b59640f85a6f9b6ffababa1235b2d71738fd8517341e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0aedbdc717d62dd354f6b59640f85a6f9b6ffababa1235b2d71738fd8517341e"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2079aa2870d7a966c735b9910ded92a70efd0f66704c5c373d9a2eab71c5fca50a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "79aa2870d7a966c735b9910ded92a70efd0f66704c5c373d9a2eab71c5fca50a"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "73441958242294e589677dc18055ed5f9bac7aa22aafa54b58e4801fb62bdfd1",
      "value": 2000000,
      "index": 100,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "ed9590336db1895f1530a1fbfa6d474a3816d76127892a7aa5b7f93375bc33dd",
      "outputIndex": 1,
      "outputGlobalIndex": 44913395,
      "outputCreatedAt": 1419927,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20fbb2edec8b218ca0462a0347473c366a7f102e061f5a4785e8ed701c297e07ec",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "fbb2edec8b218ca0462a0347473c366a7f102e061f5a4785e8ed701c297e07ec"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e2075efd7954b652f49c99dd674c4ad808deacaee33905660bf87617b0c4a3677d7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "75efd7954b652f49c99dd674c4ad808deacaee33905660bf87617b0c4a3677d7"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "976f700d798099a4507e5e592ab9de95ad12dd87a319014a073ce2c0080f4d77",
      "value": 2000000,
      "index": 101,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "f50ca4b3d66e7735258d0714d91a8c5367f17e3c5602d90934a2a23d2fccab47",
      "outputIndex": 1,
      "outputGlobalIndex": 44913400,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20581d31c3561579b1d2de06186317bdf2fd57f626c274c1e3a83ff503257d400f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "581d31c3561579b1d2de06186317bdf2fd57f626c274c1e3a83ff503257d400f"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20177a530150a8dfab6876d14cc606f9c31a7854d265b3d78f4b3012c555e59281",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "177a530150a8dfab6876d14cc606f9c31a7854d265b3d78f4b3012c555e59281"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "2168642b85326583de82f9483a0edd7753c342e087efb28bfb8c2ba7138ed092",
      "value": 2000000,
      "index": 102,
      "spendingProof": null,
      "outputBlockId": "75d3cccc02718de250e8ffc29861bdfbb0ca62d249e87def9ad238663d38ba4e",
      "outputTransactionId": "fabeddd40aef6919f1848b034abfb4f15b630c07a237da4fcfd66d5af8892a05",
      "outputIndex": 1,
      "outputGlobalIndex": 44913405,
      "outputCreatedAt": 1419928,
      "outputSettledAt": 1419931,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(12,103,70,27,87,113,-6,-61,-4,65,123,-99,116,100,-83,43,-102,55,78,78,-84,90,76,94,-79,73,-27,15,-53,-24,40,-115)\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(-56,-34,-91,-67,57,105,-124,-95,127,-64,-82,-6,-5,17,-60,97,-120,-87,-87,-128,-54,-14,-81,18,-9,-56,-109,80,-115,-71,58,91)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 3000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2093d73a59f111c37a6e9853fb85ba075264f330dc3b416d2778b7939e3bb6591e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "93d73a59f111c37a6e9853fb85ba075264f330dc3b416d2778b7939e3bb6591e"
        },
        "R5": {
          "serializedValue": "0e20bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bc47bd3242fc4c702b398b7fd01297e82f1a1d6dc9eb43086f1553058d45a5cd"
        },
        "R6": {
          "serializedValue": "0e20a9ae8437b5f7515261d3f341aa71140f779216f44cf89a174e2c9be54d57f5d9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a9ae8437b5f7515261d3f341aa71140f779216f44cf89a174e2c9be54d57f5d9"
        },
        "R7": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        }
      }
    },
    {
      "boxId": "32031ff9b625e16c1353da06f5f96ac60183c6651ba550125cd235e5a4a8e880",
      "value": 7800000,
      "index": 103,
      "spendingProof": "c0d734819d62c7ad3e11bac2aeb5ecde9b2c9987fcb2cd7b70bc7c3241974d81b2428e6c76b0d9fc330f4aa7c68ea2445a3c3f671d62f265",
      "outputBlockId": "5e9839f1b9a6079ba9f33ee6bb1bd679b5db24c0f5e83c2fc6c9bc156146d6d8",
      "outputTransactionId": "49398004bdd499aa8df60ef0f0740e8505d3567a46778e420c3d74f44f760880",
      "outputIndex": 1,
      "outputGlobalIndex": 44830246,
      "outputCreatedAt": 1417938,
      "outputSettledAt": 1417941,
      "ergoTree": "0008cd02bc36526424f81343d527f67b3c696fa352aed56587a1577965a004b0e2f835da",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bc3652,b9f885,...)))}",
      "address": "9fwx9F5D72kft9Ji1Ez8QNLwHxVaCELphuZdMRy6vR5mejFrP5u",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "a0f81c737b38ec451dc072369bc74609896b3bd245762140f44edbd5a934f90d",
      "value": 1100000,
      "index": 0,
      "outputBlockId": "9cd9da9a7bebc91af8af522b342397f6f0cb88719817b60aa0cb53a9758daccf",
      "outputTransactionId": "a0029995fad90f6b31ac46d0ad4e823a8349c16a413f885c829c74a840107a3b",
      "outputIndex": 1,
      "ergoTree": "100604000400040004000e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb7350402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
      "address": "prufxZid3SJMyUVhAPFAF4uLyCZbEMWCMXRSyuMEvDUHZf81JcGcmu1EW1U9hUuJerWer5vmjhiJMmjbCqDwPMKRy169SPaLTxDp5tZ2rCrKjiv7xVAsnmphxSNBpj6qqB8fs1rWJGn9dN7t74qvx6oVHZny8KNMrqfEDjcWRv7wP21sZFP4rie4YhWJs8Z6swQ3DA28B5bzMZkMqfR7",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1106809bee027802c8018080babbc82e808ece1c",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[3000000,60,1,100,800000000000,30000000]"
        }
      }
    },
    {
      "boxId": "9832b8c2d9c54b45cd605dbe65a32ef3be4528d5eb6645da88ed64456cf353dc",
      "value": 2000000,
      "index": 1,
      "outputBlockId": "2eeec69771fad700c85d4927dbe841e63de2a2fcf9b65a55fe2fb019e00b8b8a",
      "outputTransactionId": "bb541d62346b14de409021b0a21061da72af0c6181091bf5ff2b531fdd81d5f8",
      "outputIndex": 0,
      "ergoTree": "1026040004000e20c8dea5bd396984a17fc0aefafb11c46188a9a980caf2af12f7c893508db93a5b010104020402040604060404040404000404040204000e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b0502040604000400040a0502050604000e20b725b697b441266d9a1e29b2291d6d1373041adb7d4f8b0eb6b2f614eb33557904080400050004020101040004020404040204000402050205020400d805d601b2a5730000d602db63087201d603b27202730100d6048c720301d6057302959372047205d17303d812d606db6308a7d607b27206730400d6088c720702d609b27202730500d60a8c720902d60bb27206730600d60c8c720b02d60db27202730700d60e8c720d02d60fb27202730800d6108c720f02d611b27206730900d6128c721102d6138c720701d614b27206730a00d6158c721101d6168c720b01d6179683080193c27201c2a792c17201c1a79372048c721401938c7203028c721402938c7209017213938c720f017215938c720d01721693e4c67201040ee4c6a7040e95917208720ad805d618b2a5730b00d619b2a5730c00d61a997208720ad61bb2db63087218730d00d61c96830501721793721a9972107212938c721b02721a938c721b01721393cbc27218730e9593720e99720c730fd806d61dc5a7d61eb2db6308b2a5731000731100d61fb2db6501fe731200d620e4c6721f0411d621db63087219d622b27220731300d196830c0193e4c6720105059ae4c6a705057314721c93e4c67218040e721d938c721e01721d928c721e027315938cb2db6308721f73160001720593cbc27219731793e4c67219040e721d92c17219b2722073180093e4c672190505721a938cb2722173190001721695917222731ad801d623b27221731b0096830201938c7223017215928c7223027222731cd196830601721c93e4c67218040ee4c67219040e93720e720c93e4c672010505e4c6a70505938cb2db63087219731d00017216939ae4c6b2a4731e000505721ae4c672190505d804d618b2a4731f00d619b2a4732000d61a99720a7208d61be4c672190505d196830601721793e4c67218040ee4c67219040e938cb2db6308721873210001721393721a99721272109591721b721a9683030193720c720e93e4c672010505e4c6a705059399721b721ae4c6b2a573220005059683020193720e9a720c732393e4c67201050599e4c6a705057324938cb2db63087219732500017216",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e046572676f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6572676f"
        },
        "R5": {
          "serializedValue": "058402",
          "sigmaType": "SLong",
          "renderedValue": "130"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "25e3b7dd7690bc55ec1dd24784b6c124aa1dd5eedfea876f11549ada29c14cf8",
      "transactionId": "25a43f1ff25c4859525b0fcb483f950932a07a117b4187afb7ce68352b8e0451",
      "blockId": "7ddf03683b7f3a04c11b9bee4f3364aa6174351643eacf5fac0f68ee40465a14",
      "value": 205010000,
      "index": 0,
      "globalIndex": 44913473,
      "creationHeight": 1419931,
      "settlementHeight": 1419933,
      "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(61,77,106,-65,36,-120,39,27,1,109,101,-87,-13,74,9,45,48,68,77,113,-89,14,-91,30,1,-42,-90,-15,-73,98,118,115)\n10: 1\n11: 0\n12: Coll(82,-43,103,29,47,-108,82,-33,-82,-22,-125,-66,-113,-62,-1,0,-115,58,113,109,-76,-77,-112,-34,-78,119,5,-41,60,96,-108,-22)\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": "8a94d71b4a08058327fa8372aa69d95c337536c6577c31c8d994169a041e5fc0",
          "index": 0,
          "amount": 309000000,
          "name": "rspv2ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e208a19893546dcbc515c0f6dc5fa54858a30e80f6e1d5dc028b243533009a4bcd1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8a19893546dcbc515c0f6dc5fa54858a30e80f6e1d5dc028b243533009a4bcd1"
        },
        "R5": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[33326635393061373861666639653933353933373733306530323231383764363837326238386265653636316363616566623561333631353965393635396132,6572676f,63617264616e6f,39676e686661705357325274555958523744756b6f61535a665a704e617a7a63757955686179356d6a42573931714853333435,6164647231717879653764673836336c323238386e746e6a746361706168773363796b33666837796877746c396470333636776b68757874756d3670397579356c726164386e716b7961307a756365646b396e757a3730396d34333868766b6c73616b61787265,000000e8d4a51000,0000000131aa3349,000000008dd417cc,657267,30346239353336383339336338323166313830646565653832323966626439343162616166396264373438656263646266376164626231342e37323733343535323437,65363662393763636135346337303436316465663363623039363934643133376662326138626335393761653563306665666561303662303238333961316530,000000000015aa8a]"
        },
        "R6": {
          "serializedValue": "0e206f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6f8f73f2b846490d986a3d2c9f509fb56e2fd95fc0100c7a1f6a911f59ea763b"
        },
        "R7": {
          "serializedValue": "04ce01",
          "sigmaType": "SInt",
          "renderedValue": "103"
        }
      },
      "spentTransactionId": "f26f4d04c42e843fe5366bd46d60a87cd7c4ecb0c83a90c8928a5c8217e0da63",
      "mainChain": true
    },
    {
      "boxId": "87d80d8ac7a7e35bb613a88be3dc257a2c647cd7cb617a3ebc18a05bdbb80b74",
      "transactionId": "25a43f1ff25c4859525b0fcb483f950932a07a117b4187afb7ce68352b8e0451",
      "blockId": "7ddf03683b7f3a04c11b9bee4f3364aa6174351643eacf5fac0f68ee40465a14",
      "value": 5750000,
      "index": 1,
      "globalIndex": 44913474,
      "creationHeight": 1419931,
      "settlementHeight": 1419933,
      "ergoTree": "0008cd02bc36526424f81343d527f67b3c696fa352aed56587a1577965a004b0e2f835da",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bc3652,b9f885,...)))}",
      "address": "9fwx9F5D72kft9Ji1Ez8QNLwHxVaCELphuZdMRy6vR5mejFrP5u",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "d6c28849d9c0f850be9212075ba9b9d3c71972a5d680b7849c0bfc12aad29466",
      "mainChain": true
    },
    {
      "boxId": "538d9a8f01938142070a455d486c3b3f2cae5ebc0c5efc1f1aef7781f6587679",
      "transactionId": "25a43f1ff25c4859525b0fcb483f950932a07a117b4187afb7ce68352b8e0451",
      "blockId": "7ddf03683b7f3a04c11b9bee4f3364aa6174351643eacf5fac0f68ee40465a14",
      "value": 2050000,
      "index": 2,
      "globalIndex": 44913475,
      "creationHeight": 1419931,
      "settlementHeight": 1419933,
      "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": "0d2be19c864065663d25ef44b7013249f341802fa9b9d7572e3dbe74b37900c3",
      "mainChain": true
    }
  ],
  "size": 4720,
  "isUnconfirmed": false
}