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Transaction

3/12/2024 05:57:58 PM
ID: ee963bfaeb...0b38
Inputs (72)
#0
459cbb6dc9c3...7da5
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
16d1fc311d98...ec1a
Settlement height:
1,219,396
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#1
7b8f2f1105d7...d3f2
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
e208ae92faa4...eea9
Settlement height:
1,219,396
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#2
0e29a94077ae...229f
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
26c24a3d5ae4...8bbd
Settlement height:
1,219,396
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#3
be70aa471d53...455b
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
96c1c78a459e...fd70
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#4
7cb921942f83...1048
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
bc3f78aac7db...9844
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#5
4a20908a4afa...2e83
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
1374825aeb84...6f81
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#6
172889d628c8...d9b1
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
1b3b52c10c76...6ac9
Settlement height:
1,219,401
Value:
0.0011 ERG
Tokens:
rspv1CardanoRWT
3,000
#7
25aecd9d8bbc...45c8
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
258849967851...cf89
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#8
775ced12dfca...b7aa
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
2be684914cc8...2712
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#9
6a390bbb50ca...966a
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
356525c28b34...0cb8
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#10
99e00dec73f1...55e4
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
3e67f80e2d60...c6ee
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#11
b95b9128f4b8...f9c8
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
460765577197...ebda
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#12
7280e7e574fc...8adc
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
656191d3e090...0256
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#13
960f51726e59...996f
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
6ec4abc4338b...0696
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#14
10637c24a71f...9b90
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
754b484e2f88...d291
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#15
e0e992965dad...03c2
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
76120afa337c...cf7e
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#16
4cc6bd6cf2d8...6c94
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
84bc1001e1b9...2385
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#17
35238d45f5e4...6196
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
9222400a3832...71cf
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#18
c2f2db8d767b...694e
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
95bd7d06223b...94bb
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#19
e5731bf43443...3988
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
9a3eabbd8631...36f4
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#20
7254a7b4be77...e1d8
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
9e57d82e868c...25e4
Settlement height:
1,219,401
Value:
0.0011 ERG
Tokens:
rspv1CardanoRWT
3,000
#21
cadbe80db96b...bf9c
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
9ea70d5ae5c7...d01e
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#22
b0afb0ffbdd0...e852
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
a39c05275128...02a7
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#23
1aa9a42dcc8c...53ac
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
baff43717a94...5a42
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#24
81f520e7c4b1...563c
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
c12b0440ca76...666a
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#25
478b8860cbea...294b
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
d1810cb8162d...62d2
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#26
084df71b734b...0139
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
dcf535389bd1...d8f1
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#27
aea4bcc3a6f5...c099
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
f26dd2e73083...fb3b
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#28
1047c4ac5710...8df9
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
faa4bfc1c8b6...74b9
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#29
402a2b9de061...bbaf
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
26a82b0ee33a...f17a
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#30
91ee0dd1739e...ae7f
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
3415b05eee4e...770e
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#31
9d4548b7e0a3...90de
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
59ccea282e54...b9b1
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#32
0fda371db158...43bb
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
5c8a1b3e2d76...e3f0
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#33
2d4a04319122...dc71
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
9dfd2a553a98...443f
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#34
bf773b76b739...a247
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
caee60033ec7...1f0d
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#35
be56575d3d34...1ef1
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
d3b7e67b5ca9...2825
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#36
103fb6682ff1...2b2e
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
4e046b1680da...7b86
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#37
a10ffe895873...9f10
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
c4a4e552fc2f...4eda
Settlement height:
1,219,401
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#38
a89393061dc0...bfca
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
277d6fcf46c5...277b
Settlement height:
1,219,402
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#39
397097436dd8...2d0b
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
a4ac996a2538...43a1
Settlement height:
1,219,402
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#40
9ef257947b3e...379d
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
091dae8ad0a8...5632
Settlement height:
1,219,403
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#41
f758fcf80642...40bc
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
d1f6db135069...c5fb
Settlement height:
1,219,403
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#42
2de124c4711f...c793
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
fbaffe416a9e...30f8
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#43
a14f8cd6fc5e...d9f4
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
025977c19f53...f136
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#44
2448a78a2602...06d7
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
0458710c7efe...25df
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#45
5c44416909fb...6fee
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
0fe5f5ccbe37...c847
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#46
ae2c95196602...5c6a
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
16069c0bd910...e881
Settlement height:
1,219,404
Value:
0.003 ERG
Tokens:
rspv1CardanoRWT
3,000
#47
c57a4127a3b4...a59c
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
1769d18d7852...d1e4
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#48
8eabfaab9565...55ab
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
17c4d7e01f89...e22d
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#49
a78cc44d0e84...5819
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
18bc01de3041...46b9
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#50
00db4c78582a...b918
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
1e65df5010ff...1486
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#51
3be2b01c71d7...5b5a
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
2d81224d0427...0e8c
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#52
d4d09b4f0b1e...6c43
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
362389f9ab96...5098
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#53
9292949806e0...3f3c
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
409ad1a7fe5c...a8b4
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#54
1846415b47f8...88b9
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
49fa78bbc2fc...9cfd
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#55
e3eb1d1399a6...e7b7
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
546ba521e569...86a2
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#56
69bdd6e60e3f...dfad
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
613396185431...3fbe
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#57
e6cc3a6693f9...852b
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
6e5aac19e39b...586f
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#58
867d66a6427a...72ca
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
717c1b191135...97f4
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#59
842253fee6ad...3623
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
7354bac7e3ca...35bd
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#60
78e3c2ad49c7...68e1
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
7b98a29a6845...7444
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#61
5cb472dab6d6...ba91
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
7c51f8ebe574...6b61
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#62
78514b634068...3d63
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
9f9b4a599ef2...0136
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#63
30a62a03e73d...24f1
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
9fe9916d4330...3833
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#64
62cf92b517f4...4ec9
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
a65799d03a07...7f30
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#65
3ac7d416572a...348d
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
c22ec73e0d7e...e382
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#66
2b6096309fc9...a6b5
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
c979a4336057...ff52
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#67
297560af9939...b76f
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
dc58d99398a1...08f0
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#68
42c36363664c...ed4b
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
e3e7d106ccd2...3e59
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#69
f1954afd0a19...1333
Spent
Address:
42fowRYzr5dL...aVo3
Output transaction:
ee5be5768821...380d
Settlement height:
1,219,404
Value:
0.002 ERG
Tokens:
rspv1CardanoRWT
3,000
#70
336540aa3dc8...fc28
Spent
Address:
9eZgjz8PphoS...DnWH
Output transaction:
7fa972ff7dea...19d7
Settlement height:
1,212,498
Value:
0.002 ERG
Tokens:
RSN
10.91
#71
295ffbccc69d...1ad0
Spent
Address:
9eZgjz8PphoS...DnWH
Output transaction:
522236414762...56b2
Settlement height:
1,212,738
Value:
0.002 ERG
Tokens:
RSN
23.53
Outputs (3)
#0
4bb030ff982d...2799
Spent
Address:
nzc6aD1QoVYS...9dpU
Spent in transaction:
4668d06b321f...f1f9
Settlement height:
1,219,407
Value:
0.1392 ERG
Tokens:
rspv1CardanoRWT
210,000
#1
140c3d058eb8...455a
Spent
Address:
9eZgjz8PphoS...DnWH
Spent in transaction:
5120903e2113...5d6e
Settlement height:
1,219,407
Value:
0.002 ERG
Tokens:
RSN
34.44
#2
15df836493e0...64ef
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
2d42b07befee...3d2d
Settlement height:
1,219,407
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 5.78 KB
Received time: 3/12/2024 05:57:58 PM
Included in blocks: 1,219,407
Confirmations: 549,137
Total coins transferred: 0.1432 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000338 ERG
Raw Transaction Data
{
  "id": "ee963bfaeba18dee7c2a325d3e4962c8504969413680b9a7f8c02a2f3f870b38",
  "blockId": "95eb614464130d0e510b9f76eab2daa31375b007ea70122220c643d05e6f35ad",
  "inclusionHeight": 1219407,
  "timestamp": 1710266278366,
  "index": 7,
  "globalIndex": 6805975,
  "numConfirmations": 549137,
  "inputs": [
    {
      "boxId": "459cbb6dc9c3c2e410560ee20e982a68b46b69f5e1f7ca1fc8442be23a847da5",
      "value": 2000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "f498633555acd6163d6b3f2541045c4145923097204ffd3da7528715ae6bb9a8",
      "outputTransactionId": "16d1fc311d98abbebf97797d06ef2f3973a37d40b8f09ec25b65245a2c5bec1a",
      "outputIndex": 1,
      "outputGlobalIndex": 37885822,
      "outputCreatedAt": 1219394,
      "outputSettledAt": 1219396,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01202b30e5582145f9bcedfa8a2aa86298ac8a5231ad8945254dfd615b56c93b7af5",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[2b30e5582145f9bcedfa8a2aa86298ac8a5231ad8945254dfd615b56c93b7af5]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20f2a27dbb45e5269a62541a84708b20d924edb56f786cc00e665a782b2809ad0a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f2a27dbb45e5269a62541a84708b20d924edb56f786cc00e665a782b2809ad0a"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "7b8f2f1105d791934586fd799a3426100658979ae06a1fb01041b452f10fd3f2",
      "value": 2000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "f498633555acd6163d6b3f2541045c4145923097204ffd3da7528715ae6bb9a8",
      "outputTransactionId": "e208ae92faa4657b59c981a80153ecbdc800a724048bce95d63eba54dad4eea9",
      "outputIndex": 1,
      "outputGlobalIndex": 37885827,
      "outputCreatedAt": 1219394,
      "outputSettledAt": 1219396,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012064579f3015feb870475d0d057fc431f8b037a19091e12cad0d2f0dd8229cffec",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[64579f3015feb870475d0d057fc431f8b037a19091e12cad0d2f0dd8229cffec]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20e53a096c9b501a92cbf856734075b8c7ed2d5884ec7cabbaefd91c2ab050fe09",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e53a096c9b501a92cbf856734075b8c7ed2d5884ec7cabbaefd91c2ab050fe09"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "0e29a94077ae937578a2bedb6caedaeb40e43de535b49e827cbd60aa4b93229f",
      "value": 2000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "f498633555acd6163d6b3f2541045c4145923097204ffd3da7528715ae6bb9a8",
      "outputTransactionId": "26c24a3d5ae42c19ca63895d30b65a006295e3baab2342ef7041c300033b8bbd",
      "outputIndex": 1,
      "outputGlobalIndex": 37885832,
      "outputCreatedAt": 1219394,
      "outputSettledAt": 1219396,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120243fdb81eeeebf81c67554062ba3b9cff03ba22e3ad85ab75c2930a948fa10bd",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[243fdb81eeeebf81c67554062ba3b9cff03ba22e3ad85ab75c2930a948fa10bd]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20dc3ceff31ec636f994a841ae1c9d5f595b2133cca74dc38fc3d35be8c3fc7e5c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "dc3ceff31ec636f994a841ae1c9d5f595b2133cca74dc38fc3d35be8c3fc7e5c"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "be70aa471d53f9474a186370a01df6e049b3627f67f494551fc51686ca1b455b",
      "value": 2000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "96c1c78a459e50d6a682a80fcc6baeae1c45bea2950c1f5cb84e95bb694bfd70",
      "outputIndex": 1,
      "outputGlobalIndex": 37886251,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012041788509b744735a550b56a2c9edd1d90a79225aa054742b6355f8291c1ac1c7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[41788509b744735a550b56a2c9edd1d90a79225aa054742b6355f8291c1ac1c7]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e2011e14cf00a3f5f499df1e56193f7c380b2e43dd37f01474889a9a5d4b7860f9e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "11e14cf00a3f5f499df1e56193f7c380b2e43dd37f01474889a9a5d4b7860f9e"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "7cb921942f837e3669978a0572234559e6852ae0c4828f4425af1c4884de1048",
      "value": 2000000,
      "index": 4,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "bc3f78aac7db3b35a86f30ecade434b96d0b3b566c91c5798fa87c915e439844",
      "outputIndex": 1,
      "outputGlobalIndex": 37886256,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01207216aec2d6c40ac9fa38de85596cba5a2ef44b8970d0a0a44f69683eb912273d",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[7216aec2d6c40ac9fa38de85596cba5a2ef44b8970d0a0a44f69683eb912273d]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20119f7a0f7d087a8ccda7a42ef8149b0f8ef4b3cca38d4c63229986c48c719e84",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "119f7a0f7d087a8ccda7a42ef8149b0f8ef4b3cca38d4c63229986c48c719e84"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "4a20908a4afa0fa44c6773173a17b313285608619cc3c9f9c975a573453f2e83",
      "value": 2000000,
      "index": 5,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "1374825aeb8426cbad03c935e1d7326c4d827f59249b60c9a7b1ece8d7796f81",
      "outputIndex": 1,
      "outputGlobalIndex": 37886261,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01209c29664c8f13f89554c6392e7ff2ffb0e8c503ef6b5b8dba4f2e52f61b99a154",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9c29664c8f13f89554c6392e7ff2ffb0e8c503ef6b5b8dba4f2e52f61b99a154]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20209267e0dec5ac752b62cac85368907e3b1655dbc6a6ae022bf9e151c75b206d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "209267e0dec5ac752b62cac85368907e3b1655dbc6a6ae022bf9e151c75b206d"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "172889d628c831a19cac3be04ace6188f6910a92c1dbe8e111f733221941d9b1",
      "value": 1100000,
      "index": 6,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "1b3b52c10c76c4dfa1f2c42158027a2216b2da3394571db240334d2b15686ac9",
      "outputIndex": 1,
      "outputGlobalIndex": 37886266,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120656708fdd4aefe28b7e87841d4a5f20334d28114a384aa1acc065cda060ba726",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[656708fdd4aefe28b7e87841d4a5f20334d28114a384aa1acc065cda060ba726]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20938e3d595c7fa1881388a5be99b1604ae84ebe2b2adf5f0ba0b03d2a333ae992",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "938e3d595c7fa1881388a5be99b1604ae84ebe2b2adf5f0ba0b03d2a333ae992"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "25aecd9d8bbc92388e01f5527ae65359709839b4bf528666ac6184ed3bd945c8",
      "value": 2000000,
      "index": 7,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "25884996785127f99be146b615580358fb92eaf495da2308b1ad809c4c1acf89",
      "outputIndex": 1,
      "outputGlobalIndex": 37886271,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120fd0595d39a98f632dcb5db279ce545bab3e24eea1dce02e507739aeb7eb767eb",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[fd0595d39a98f632dcb5db279ce545bab3e24eea1dce02e507739aeb7eb767eb]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e203c3ed5de03312eabab5cb2308fead9b8e9beccb637a69f0fd68de33350f0da60",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "3c3ed5de03312eabab5cb2308fead9b8e9beccb637a69f0fd68de33350f0da60"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "775ced12dfcafe87fd2bad5828d990c7805d291683d14f2d291c9753dd36b7aa",
      "value": 2000000,
      "index": 8,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "2be684914cc88b2c36268278b8108431f464bde847835a071966e3a817f32712",
      "outputIndex": 1,
      "outputGlobalIndex": 37886276,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120ae3a1c919c4b5e3b831a62396441882b7cecc440b9666a273dbd6abd0751a152",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[ae3a1c919c4b5e3b831a62396441882b7cecc440b9666a273dbd6abd0751a152]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20eadadf158f2c9e5cfc0a2570a43f885159f576fbe58f26ef886db2d601f356b0",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "eadadf158f2c9e5cfc0a2570a43f885159f576fbe58f26ef886db2d601f356b0"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "6a390bbb50caa406b97d1a29cba520f37690bf84e7ed19d23014c60cd57d966a",
      "value": 2000000,
      "index": 9,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "356525c28b34b6ca49b319e7a0fb4f72579a4b2bac78a31e3b3cacfe17790cb8",
      "outputIndex": 1,
      "outputGlobalIndex": 37886281,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01207311710e4017f7deed3e33ffcd9c1ded5279a0ba8256f52133c2c8648a4cddf1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[7311710e4017f7deed3e33ffcd9c1ded5279a0ba8256f52133c2c8648a4cddf1]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e208bb1b5ace9766b6192af5891285429d2c5fef9cb9e2997d9546d06dfbf6f7d4b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8bb1b5ace9766b6192af5891285429d2c5fef9cb9e2997d9546d06dfbf6f7d4b"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "99e00dec73f1e344a31428e5d8f80df325523aa866280f8088df398da19855e4",
      "value": 2000000,
      "index": 10,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "3e67f80e2d60f74e3cb4419c479b5d227010fbe459b00693fef8768f19b9c6ee",
      "outputIndex": 1,
      "outputGlobalIndex": 37886286,
      "outputCreatedAt": 1219398,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120c69d97f4fdacf77b6719e364a654d2f5c9ea2a26ede80c81880fb679bc154cc2",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[c69d97f4fdacf77b6719e364a654d2f5c9ea2a26ede80c81880fb679bc154cc2]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e205fd5d39ebcd85061ab6f82babeb608913f9e9562b1758ca0742ed9eb6b8864c5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5fd5d39ebcd85061ab6f82babeb608913f9e9562b1758ca0742ed9eb6b8864c5"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "b95b9128f4b8fc8cd54191297c4b1c74170449f228553348c09533905757f9c8",
      "value": 2000000,
      "index": 11,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "4607655771970eae0e144c1005b0eb89ae4b830aaffa7d4544214e104780ebda",
      "outputIndex": 1,
      "outputGlobalIndex": 37886291,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120f1524b455e77a7c820e875c2dba6d33c31d36841483d431c52f1060af95e6c94",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[f1524b455e77a7c820e875c2dba6d33c31d36841483d431c52f1060af95e6c94]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20b715619b3853e24aaf98322f6ac6c61847ec7e7c03754c928982a2775a136c20",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b715619b3853e24aaf98322f6ac6c61847ec7e7c03754c928982a2775a136c20"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "7280e7e574fce131df6e7b72e46f05f87b98cd42931d2d461c2df52eabfb8adc",
      "value": 2000000,
      "index": 12,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "656191d3e09066951e8491ef9955399bce5a155d90d05eba87df3d59fa630256",
      "outputIndex": 1,
      "outputGlobalIndex": 37886296,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120a95e27d5890c5af17a62fed098fbd41a372fa46db9e0f7521dee42bc9cb13936",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[a95e27d5890c5af17a62fed098fbd41a372fa46db9e0f7521dee42bc9cb13936]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e205538ff7d997e6a9fda4d0dc4f8334e44311ec736587c10c35a09b8924eb3e651",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5538ff7d997e6a9fda4d0dc4f8334e44311ec736587c10c35a09b8924eb3e651"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "960f51726e59def8a3f63ba8be89211cdf5a4a90cc8d6cffe801e64f6da9996f",
      "value": 2000000,
      "index": 13,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "6ec4abc4338bbbc1a5fd31bc7118a14d0989e0124161984e006fbe63196c0696",
      "outputIndex": 1,
      "outputGlobalIndex": 37886301,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01200fe391e2d5774484c6589aa375187a3b5ebe436f84b1151f6df9bf5e9adea76a",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0fe391e2d5774484c6589aa375187a3b5ebe436f84b1151f6df9bf5e9adea76a]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e202a980c6d068a9bbf46a0dc6be6710d39f8d8a520fff2c3c6046a4d7571794feb",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2a980c6d068a9bbf46a0dc6be6710d39f8d8a520fff2c3c6046a4d7571794feb"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "10637c24a71f0d32a1454223b66fd535a9e0dde735d025495d1e18ea8be49b90",
      "value": 2000000,
      "index": 14,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "754b484e2f88e205e7022e00cb2480d82621d9063b96b8274df112992532d291",
      "outputIndex": 1,
      "outputGlobalIndex": 37886306,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120c6ccbad58cdcf2382e8154724b8991c54d498831188e3d47e628afbaa9897db5",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[c6ccbad58cdcf2382e8154724b8991c54d498831188e3d47e628afbaa9897db5]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e2054e19bc404688a1e29fe1bfeccb17faf595e1fc23507f25984aebaeaaf5dd531",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "54e19bc404688a1e29fe1bfeccb17faf595e1fc23507f25984aebaeaaf5dd531"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "e0e992965dadaf26c37ea0f279fc3efec2925254000737e617fbfc2bf6c703c2",
      "value": 2000000,
      "index": 15,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "76120afa337cd6fe40740dc2c48f406e41c9d88a08cdf497a31227a0ac8bcf7e",
      "outputIndex": 1,
      "outputGlobalIndex": 37886311,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012086ab8807f16f3dfb3e400ab4be7620e835fe24602cea51c0f969417a1864489e",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[86ab8807f16f3dfb3e400ab4be7620e835fe24602cea51c0f969417a1864489e]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20de5654b4702869d0b4d63419b6d77ccd18d4256d3f6bed6733dee1d9042af0e5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "de5654b4702869d0b4d63419b6d77ccd18d4256d3f6bed6733dee1d9042af0e5"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "4cc6bd6cf2d8c23eb987e3fb02ebbf6baa1ef325195b7d3a141b40637db26c94",
      "value": 2000000,
      "index": 16,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "84bc1001e1b9a91a6803da873eeb313fb6eb06a6186b93ca1462816bd2f12385",
      "outputIndex": 1,
      "outputGlobalIndex": 37886316,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "101f04000e209067f5bd556c1592dd4a026cd55099844ddbe9726075019bdaa556305ae7384d0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120e5f4afae0ce544d3e1d705724bfa042d3b60db3c449ac84ce7d3be7a291fd90f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[e5f4afae0ce544d3e1d705724bfa042d3b60db3c449ac84ce7d3be7a291fd90f]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20a7ec49cf2b86d0387d621ea7cefd377a9d6cefa8e23996570d3852ab5fc7ebfd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a7ec49cf2b86d0387d621ea7cefd377a9d6cefa8e23996570d3852ab5fc7ebfd"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "35238d45f5e498c8b92e77fd0967d20eb009e4ef2261c98c6f8276c291ba6196",
      "value": 2000000,
      "index": 17,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "9222400a383270786438093f2dd1d5cbeb8cf215103c7901b9cc19bd93f071cf",
      "outputIndex": 1,
      "outputGlobalIndex": 37886321,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01207eb47dc621d93d5c6d6cfdb9f5df96592a29b99eb6a04067b6c1144b47c31fdb",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[7eb47dc621d93d5c6d6cfdb9f5df96592a29b99eb6a04067b6c1144b47c31fdb]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e207a7c72bc091e66d61cfabcfa0aea4241848c2b655f128603e5e8baaea3dcc304",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7a7c72bc091e66d61cfabcfa0aea4241848c2b655f128603e5e8baaea3dcc304"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "c2f2db8d767b6b12000b1e543152b1c46d3904826a05865462ce82a66f4f694e",
      "value": 2000000,
      "index": 18,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "95bd7d06223bdf50ce625516386e8f050bf55254049caeb5b593185b78b094bb",
      "outputIndex": 1,
      "outputGlobalIndex": 37886326,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120aced39348632357775564aabf3d78d6248b05c70259f7e9133a0c41af26d0eeb",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[aced39348632357775564aabf3d78d6248b05c70259f7e9133a0c41af26d0eeb]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e2094e801938c12bd90f94ed18b5bada9d73d753f04dd52b74ec52575bfb6404daf",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "94e801938c12bd90f94ed18b5bada9d73d753f04dd52b74ec52575bfb6404daf"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "e5731bf43443de53f645e6c821b917449ea102ed8318908bb8cf4c075c443988",
      "value": 2000000,
      "index": 19,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "9a3eabbd8631bb23cdaeec840d953f2ad77f69cf75371a0b31c21506bcfe36f4",
      "outputIndex": 1,
      "outputGlobalIndex": 37886331,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012052b8e50ab08a3d13701fcfec128ed2acff11dfb17c8c169ba6c87b5b016d5c43",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[52b8e50ab08a3d13701fcfec128ed2acff11dfb17c8c169ba6c87b5b016d5c43]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20067361a1be2039f52e35e2c94a4450d1b2a98534fbb8f27973ad462eff473026",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "067361a1be2039f52e35e2c94a4450d1b2a98534fbb8f27973ad462eff473026"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    {
      "boxId": "7254a7b4be771b714d9f56b2a5f73f5e1b50087c9a72aa802c6f6d87b3bfe1d8",
      "value": 1100000,
      "index": 20,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "9e57d82e868c51f27fb9c888c40cd62c430182c978a0c5b6590f2bcb6e3425e4",
      "outputIndex": 1,
      "outputGlobalIndex": 37886336,
      "outputCreatedAt": 1219398,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012084598de02112b1879284c203f98ecae2cbe90b6afdfc37c8241e39d6b8e2a91d",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[84598de02112b1879284c203f98ecae2cbe90b6afdfc37c8241e39d6b8e2a91d]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20fa8f5bfc60dda38a025c25b725d719a9eba641b19f553852f460dfd3394cc846",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "fa8f5bfc60dda38a025c25b725d719a9eba641b19f553852f460dfd3394cc846"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "cadbe80db96b321d05ea3ed7cb635b1e44fb0b58c903f2069df00a31b07cbf9c",
      "value": 2000000,
      "index": 21,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "9ea70d5ae5c7df9e3e1f53146fefe7bbde7c932791b586e7e96eb7aa7521d01e",
      "outputIndex": 1,
      "outputGlobalIndex": 37886341,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012046d6f4f080d5d185773a001d6ff796a3883b39725b777db9ecacedb626ecc445",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[46d6f4f080d5d185773a001d6ff796a3883b39725b777db9ecacedb626ecc445]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20488323e8fe3a145f79fe85ba183a004dad65cee8bf124417d4a580fb738f0641",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "488323e8fe3a145f79fe85ba183a004dad65cee8bf124417d4a580fb738f0641"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "b0afb0ffbdd0e6dafce34b65d1b59f42d3b5f5ea18ba42b3abe686af547be852",
      "value": 2000000,
      "index": 22,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "a39c0527512873cb1c0f9dd0c7628b96060449e694edfdd22b9b7736d70402a7",
      "outputIndex": 1,
      "outputGlobalIndex": 37886346,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120d2d5b1d12dc6f06406dd6ed6a196447aa9414fca80bfb89009b52c190ff96e22",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[d2d5b1d12dc6f06406dd6ed6a196447aa9414fca80bfb89009b52c190ff96e22]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20c93df446d336ad7b3a77a518a035b0cc21eee768010516663acef305cfdf8d49",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c93df446d336ad7b3a77a518a035b0cc21eee768010516663acef305cfdf8d49"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "1aa9a42dcc8cbd5ac3433e1e0da5418bee8c53ec3e468bcd330d0c2b768a53ac",
      "value": 2000000,
      "index": 23,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "baff43717a94242cd0f81aedb07f100ab4e623bb357b49aff3643ca28d055a42",
      "outputIndex": 1,
      "outputGlobalIndex": 37886351,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120903329af618fda088fcd150398dc1c094e1c515ad0a3cb5edcc338420ee8fab2",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[903329af618fda088fcd150398dc1c094e1c515ad0a3cb5edcc338420ee8fab2]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20cd505c7a6833b4205bc91ce5f11353e23316f34432f27efa1f2119118bc03918",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "cd505c7a6833b4205bc91ce5f11353e23316f34432f27efa1f2119118bc03918"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "81f520e7c4b1f423973c8e53510da40b45e00160f50f1a2f3753481ab0a2563c",
      "value": 2000000,
      "index": 24,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "c12b0440ca7626abe09303a8971e3f82b1d2fda2a75556d99dcdc0f01495666a",
      "outputIndex": 1,
      "outputGlobalIndex": 37886356,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012003310f1404169ec32948f0af18b057f54371f9982514ecc44043c137fa58c533",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[03310f1404169ec32948f0af18b057f54371f9982514ecc44043c137fa58c533]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e206935de6a5b03e72e3b9591141cb8967c7f5a12096aa37a0e1985f7050c1ba79a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6935de6a5b03e72e3b9591141cb8967c7f5a12096aa37a0e1985f7050c1ba79a"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "478b8860cbeac05595fa0093c8af6cad91d2f3b50671e52a381babf63d7a294b",
      "value": 2000000,
      "index": 25,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "d1810cb8162d8c45df565e1d412ddf1f21d0de4499aba31d6ff43707a24262d2",
      "outputIndex": 1,
      "outputGlobalIndex": 37886361,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01205e65be4e2e83b87364012b7747f7d0c06f60585cb3193a0de43807a6c4130fe9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[5e65be4e2e83b87364012b7747f7d0c06f60585cb3193a0de43807a6c4130fe9]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20167dae817acde3867da629163c778354c49766b3142c337bb97a6e80df774443",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "167dae817acde3867da629163c778354c49766b3142c337bb97a6e80df774443"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "084df71b734b9e833b6c7deffa5209a0d6d085234a8dd873bae088eccfca0139",
      "value": 2000000,
      "index": 26,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "dcf535389bd1ee365ff8031672278a73934052fee1e3e594798a59d34801d8f1",
      "outputIndex": 1,
      "outputGlobalIndex": 37886366,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01208ca71f357841d289246dcde321a162d76c01649b235a5f902617de6b027e3712",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[8ca71f357841d289246dcde321a162d76c01649b235a5f902617de6b027e3712]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e205970d3a15318c299de84a89569b4d7367e1f6771cccfb1ba3a9007fd410cb73d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5970d3a15318c299de84a89569b4d7367e1f6771cccfb1ba3a9007fd410cb73d"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "aea4bcc3a6f5db719be043474fd8f006baa7898ebfc9c5e756f79ac044cac099",
      "value": 2000000,
      "index": 27,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "f26dd2e73083aead95a4941e775609bb8d3025308734475a9b64ee714d47fb3b",
      "outputIndex": 1,
      "outputGlobalIndex": 37886371,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120edb54bd783ba8df4e75c707bcb24192129ede7adad60b1d53c3307bb61641106",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[edb54bd783ba8df4e75c707bcb24192129ede7adad60b1d53c3307bb61641106]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e207cb1121f84298d4d0856393dc287090b036c94d0ba97fcb26b1dc85ebedc2ad7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7cb1121f84298d4d0856393dc287090b036c94d0ba97fcb26b1dc85ebedc2ad7"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "1047c4ac5710d1ed64f842c8d61b51e3836187f95c6b47f4785e872404818df9",
      "value": 2000000,
      "index": 28,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "faa4bfc1c8b6ebe1ac9ca81f3c113c470d764c31bcd2017c81ac3dc4f9d774b9",
      "outputIndex": 1,
      "outputGlobalIndex": 37886376,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01208606f31f2d44ae4ed590bc9de4ea5f0692c842c102da527d1d123b8fcd024c03",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[8606f31f2d44ae4ed590bc9de4ea5f0692c842c102da527d1d123b8fcd024c03]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20642b59dac6ce6c41e08e0d1ffc4855e7c633b8fc414dc3a3f27ee20cdeecf086",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "642b59dac6ce6c41e08e0d1ffc4855e7c633b8fc414dc3a3f27ee20cdeecf086"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "402a2b9de061ba0fe1458e3bfb80989da35f486d34cdd8655da81a955f76bbaf",
      "value": 2000000,
      "index": 29,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "26a82b0ee33ae9b1cf99555c6425c3940c5284dda67faa2901d5dbd58c63f17a",
      "outputIndex": 1,
      "outputGlobalIndex": 37886381,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01209008014c851d04af437550b9de80adc5a573fb3751c8c119a19626893ac3d951",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9008014c851d04af437550b9de80adc5a573fb3751c8c119a19626893ac3d951]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e2087e906fb0588172fba31681ce43c85181b008358bcc0a006e8a174ba273726ae",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "87e906fb0588172fba31681ce43c85181b008358bcc0a006e8a174ba273726ae"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "91ee0dd1739efcd7bd982e7f17a3dac74351795f6280a9193692b4858f30ae7f",
      "value": 2000000,
      "index": 30,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "3415b05eee4e1249e6a46b9f9e595c6c7441218ca1a4b41cbf01af3f542d770e",
      "outputIndex": 1,
      "outputGlobalIndex": 37886386,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01203944ab8c5682b2871fb73e57958f9c720826662fa86848353f46ac4ffcd31deb",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3944ab8c5682b2871fb73e57958f9c720826662fa86848353f46ac4ffcd31deb]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20cf2068a1eb6d38e2396475e42038bec62e16affcf8357350b7a02e97505c6a36",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "cf2068a1eb6d38e2396475e42038bec62e16affcf8357350b7a02e97505c6a36"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "9d4548b7e0a32719cb292ba71abd49b3151c0bf73d16d6ebdae61d18367c90de",
      "value": 2000000,
      "index": 31,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "59ccea282e54ef1f672bf1309418796d78fa883d03c066686bc1b7a44cb8b9b1",
      "outputIndex": 1,
      "outputGlobalIndex": 37886391,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120e42265bf88468ac9d96bc1e01790f11df8b6c3be3a5655df7d6f8197ef070794",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[e42265bf88468ac9d96bc1e01790f11df8b6c3be3a5655df7d6f8197ef070794]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e207d609001f2a7dd69937f1b08657f36a7771ce2f60966e0bd76d9c2b00a88f484",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7d609001f2a7dd69937f1b08657f36a7771ce2f60966e0bd76d9c2b00a88f484"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "0fda371db158a343cd74d7fbe056399b82a79ffba72d1f7ee566b4a1bd8843bb",
      "value": 2000000,
      "index": 32,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "5c8a1b3e2d766ab163263c51897462e450c588af7d8c712e9ad6a9262f0ce3f0",
      "outputIndex": 1,
      "outputGlobalIndex": 37886396,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120fa93303bcf6cd09a90a81dc552db699424075ee615c15f3e058477ff9833f3e8",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[fa93303bcf6cd09a90a81dc552db699424075ee615c15f3e058477ff9833f3e8]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e205debae366248b074690e395b092719754cc60fd5a85a59bf9655e316f264095c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5debae366248b074690e395b092719754cc60fd5a85a59bf9655e316f264095c"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "2d4a0431912265c7ebf2c17e3d8b295424f34d2b78a97a4b10e3b79df846dc71",
      "value": 2000000,
      "index": 33,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "9dfd2a553a988d601eb73459a590c4bfa7b1de20cf5f7e0ad9bab7f5ccc7443f",
      "outputIndex": 1,
      "outputGlobalIndex": 37886401,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "101f04000e209067f5bd556c1592dd4a026cd55099844ddbe9726075019bdaa556305ae7384d0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01204acca9325ddbad467d9768116258b52968a0b9974c2549109f94fad7947b712f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[4acca9325ddbad467d9768116258b52968a0b9974c2549109f94fad7947b712f]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e2025a4c40a268de158fd5f8d019b0996a233337106ed737b36ab8cacf0f928a7df",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "25a4c40a268de158fd5f8d019b0996a233337106ed737b36ab8cacf0f928a7df"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "bf773b76b7399464f880c07a072b8cc3baa65a5fc031c6d487ec2c4298e6a247",
      "value": 2000000,
      "index": 34,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "caee60033ec73d0f81ca26036270e3e4fa8d6fa114874983126cca7c6db01f0d",
      "outputIndex": 1,
      "outputGlobalIndex": 37886406,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01207871f0a716ad6f258cee6029c106175fd736f87f5bdd374ec626189cc9a67d09",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[7871f0a716ad6f258cee6029c106175fd736f87f5bdd374ec626189cc9a67d09]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20a3d978915c754729375b14c394d7c9700435676ce83805bc690f440ba7ddae47",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a3d978915c754729375b14c394d7c9700435676ce83805bc690f440ba7ddae47"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "be56575d3d344048d5008ac5d5db846eaa6195037dab0ac30b1126671de01ef1",
      "value": 2000000,
      "index": 35,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "d3b7e67b5ca943176321d68488cfdd45b6fabe6a0b9293f4b72bfe342d8b2825",
      "outputIndex": 1,
      "outputGlobalIndex": 37886411,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01209e06c53dac95224036d941d176cc9893e7f7c0e8376ea1555d6a42f0bbe8c02c",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9e06c53dac95224036d941d176cc9893e7f7c0e8376ea1555d6a42f0bbe8c02c]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20c965d96cb8fbc139aed867a9ae6233d142bd6d440620018997595472103abefb",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c965d96cb8fbc139aed867a9ae6233d142bd6d440620018997595472103abefb"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "103fb6682ff1d8b32c507bf12fbec5f066f38ad6f22c43df26c47ea9e57b2b2e",
      "value": 2000000,
      "index": 36,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "4e046b1680da4f636ce7e4f03a8a65e43f09c93c49938c6342ea234b8a157b86",
      "outputIndex": 1,
      "outputGlobalIndex": 37886416,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "101f04000e209067f5bd556c1592dd4a026cd55099844ddbe9726075019bdaa556305ae7384d0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120520399bc0486111aabbae6d3163aafd0d8aabed990db0255b09ae911cafb975a",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[520399bc0486111aabbae6d3163aafd0d8aabed990db0255b09ae911cafb975a]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20fa09078fd38706f93f3d781b006933c62c9d2bf0fde097f2519e9d4a22b5bdd4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "fa09078fd38706f93f3d781b006933c62c9d2bf0fde097f2519e9d4a22b5bdd4"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "a10ffe895873d0c3685f73b4b5a9cf86baa0f425437bdea2e2a3a6942a939f10",
      "value": 2000000,
      "index": 37,
      "spendingProof": null,
      "outputBlockId": "f2315880103dfa26e803093a819d690fe41c6ee1c99d895266a4041cb3613640",
      "outputTransactionId": "c4a4e552fc2f0386f5f206af7449902fc972b88f97b07794bfbdadcb273b4eda",
      "outputIndex": 1,
      "outputGlobalIndex": 37886421,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219401,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01205818eb5d911ecd2b9f09a680e2b84bcaa281f624fb67c3e9b97d7cb01fc71da4",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[5818eb5d911ecd2b9f09a680e2b84bcaa281f624fb67c3e9b97d7cb01fc71da4]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20af4882e85040ef38a370165972ef464539ed295c6d76a6e138894e2de2b740be",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "af4882e85040ef38a370165972ef464539ed295c6d76a6e138894e2de2b740be"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "a89393061dc0ef2c55eff596fee3d148a3fed5f79cf4bda01d389b8be0ccbfca",
      "value": 2000000,
      "index": 38,
      "spendingProof": null,
      "outputBlockId": "6fb8fc11cb803926b80f67359fdc37ea6ec5d5327c2e507181c8baa73e8d02a5",
      "outputTransactionId": "277d6fcf46c56ceaa509960b5559c0313bf25a825d3fc3052fc7a19b8e98277b",
      "outputIndex": 1,
      "outputGlobalIndex": 37886436,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219402,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120f02db07c654b443eea4b8773fd47f786b95196c4afc1fb46562606945ba490e9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[f02db07c654b443eea4b8773fd47f786b95196c4afc1fb46562606945ba490e9]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e201da1b100dd50c418bb54303409fe6d5a54cfd41f2ea51863efcf681a5f07891e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1da1b100dd50c418bb54303409fe6d5a54cfd41f2ea51863efcf681a5f07891e"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "397097436dd85e73d11337ba68136ee02b765d5cb716a1a2de36b7496ab02d0b",
      "value": 2000000,
      "index": 39,
      "spendingProof": null,
      "outputBlockId": "6fb8fc11cb803926b80f67359fdc37ea6ec5d5327c2e507181c8baa73e8d02a5",
      "outputTransactionId": "a4ac996a2538eeb9a43a26fc0de42d921ca7c77c726225be629045dd010043a1",
      "outputIndex": 1,
      "outputGlobalIndex": 37886441,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219402,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01203d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20a28ba4cd6d45c36c9c5b0ff2c43437ead2b70816893bff32ada84ceba5da3012",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a28ba4cd6d45c36c9c5b0ff2c43437ead2b70816893bff32ada84ceba5da3012"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "9ef257947b3e7724edea60624ff3ed058829272db6b2963d3e4b44f92a58379d",
      "value": 2000000,
      "index": 40,
      "spendingProof": null,
      "outputBlockId": "bbb4c5d6cb2f58277d33dc642e966b59632d334d151773d26a41cd45b63c2779",
      "outputTransactionId": "091dae8ad0a82e4320abb40cf39433170f97d84ccbba33065524b74791115632",
      "outputIndex": 1,
      "outputGlobalIndex": 37886943,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219403,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120b40729cd9e076dfc4a2b2dcd822560025351085fe2b79a18abb1373b89a780e9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b40729cd9e076dfc4a2b2dcd822560025351085fe2b79a18abb1373b89a780e9]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20e1594c10b2f77fdd09d84c7c8dc867e957854375b4b887f408773a81567115cf",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e1594c10b2f77fdd09d84c7c8dc867e957854375b4b887f408773a81567115cf"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "f758fcf80642728ea72dc385df80e62ee1117d221e1dd5cc4ec95dd3552040bc",
      "value": 2000000,
      "index": 41,
      "spendingProof": null,
      "outputBlockId": "bbb4c5d6cb2f58277d33dc642e966b59632d334d151773d26a41cd45b63c2779",
      "outputTransactionId": "d1f6db1350696485ec90186fc487a00911e2ca027a7c3863f0b771664767c5fb",
      "outputIndex": 1,
      "outputGlobalIndex": 37886948,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219403,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120ac91a8dc441f665f6f592754f9776d3716a300a51b8ef8cc07b5ebf3249b87aa",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[ac91a8dc441f665f6f592754f9776d3716a300a51b8ef8cc07b5ebf3249b87aa]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20999f91a52965a917321e9901e55f1bdbc3a3b09aefb45100ecfcb0f1e5873a53",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "999f91a52965a917321e9901e55f1bdbc3a3b09aefb45100ecfcb0f1e5873a53"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "2de124c4711fbe12787b788c52fb1475ac8a023b0f162f9fb34df973789dc793",
      "value": 2000000,
      "index": 42,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "fbaffe416a9e3bf7241451e6fa6809dd26d35c6ee4cf5dee6c45944c5d3830f8",
      "outputIndex": 1,
      "outputGlobalIndex": 37887260,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "101f04000e209067f5bd556c1592dd4a026cd55099844ddbe9726075019bdaa556305ae7384d0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120f51098c81ee79c94788786861e7758261862bc6d8e0177440134b602a87de9cd",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[f51098c81ee79c94788786861e7758261862bc6d8e0177440134b602a87de9cd]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20a3956fc073a536f559b31b810a7a3930d096ab063b352b1b617c20fa7f5337f6",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a3956fc073a536f559b31b810a7a3930d096ab063b352b1b617c20fa7f5337f6"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "a14f8cd6fc5e2c22ed915f288412778b8d58851813eba839c244b2135623d9f4",
      "value": 2000000,
      "index": 43,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "025977c19f53b8b8a902bb824682918d09e476a90c0a34cded56b8452e10f136",
      "outputIndex": 1,
      "outputGlobalIndex": 37887274,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120d143e889d67a6cffe25c9e75919525660473c5946cb08429fb5c2b938ffcbca8",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[d143e889d67a6cffe25c9e75919525660473c5946cb08429fb5c2b938ffcbca8]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e2085bcfd42df9cd716c43b1c400f02e40a038872718b205cc0f2864ca77457708b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "85bcfd42df9cd716c43b1c400f02e40a038872718b205cc0f2864ca77457708b"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "2448a78a2602245f2930ed6596648a38813a3ff4d9532828b96631f78e5006d7",
      "value": 2000000,
      "index": 44,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "0458710c7efe73dd518a8f2775166f259c480bac637eab29c1d1da4c2d8825df",
      "outputIndex": 1,
      "outputGlobalIndex": 37887279,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01202c1f4ecd011968d7faacec7be81ae207ef05b036c0172539c5f3dba43d10b05e",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[2c1f4ecd011968d7faacec7be81ae207ef05b036c0172539c5f3dba43d10b05e]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e203fe53509b3a5373d62e7c02841dd76643f03aab7525079bebd871d5be097c521",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "3fe53509b3a5373d62e7c02841dd76643f03aab7525079bebd871d5be097c521"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "5c44416909fb32f76fdddc69df72cc7136e2b7427549e29836ab78877e626fee",
      "value": 2000000,
      "index": 45,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "0fe5f5ccbe378f547aac4be084e5dfc57f7760df0c50566344e74ecf1011c847",
      "outputIndex": 1,
      "outputGlobalIndex": 37887284,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120d60405821beec8f85d8ca5916c46f4f05a0ae48a03ec9830b0239c0cb3617bfb",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[d60405821beec8f85d8ca5916c46f4f05a0ae48a03ec9830b0239c0cb3617bfb]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20a6cffe01c67c7b5b5f6c61529859137a5ca2b82a26867f2aa7a6a52eab66343c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a6cffe01c67c7b5b5f6c61529859137a5ca2b82a26867f2aa7a6a52eab66343c"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "ae2c951966025905e65de89ecb21f216f5cde4f0daf4ecb5d76a7dc0d3845c6a",
      "value": 3000000,
      "index": 46,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "16069c0bd910a7f775d302325e775a0d3fd65682290bdbec7c88bb825828e881",
      "outputIndex": 1,
      "outputGlobalIndex": 37887289,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01209253a888fb7fb1f1e7fb16940aac8b793833d2d19ab2d982543f24a3b15a3d51",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9253a888fb7fb1f1e7fb16940aac8b793833d2d19ab2d982543f24a3b15a3d51]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20e0b91238db276c91f26e8933727982587e61f485dc0578a42dc2fdd62a9d3a7e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e0b91238db276c91f26e8933727982587e61f485dc0578a42dc2fdd62a9d3a7e"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "c57a4127a3b48a4d2524d4d925fbdc220bf048550cb215d2e5e3808ee1aea59c",
      "value": 2000000,
      "index": 47,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "1769d18d78525c03e81baf8885b5db336e240761475a5942b492e7a679ffd1e4",
      "outputIndex": 1,
      "outputGlobalIndex": 37887294,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120e879240bfdf47b115a51eb5a0bd3411a68ab794e40ced75eb90729a13c769f72",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[e879240bfdf47b115a51eb5a0bd3411a68ab794e40ced75eb90729a13c769f72]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20484381bbac33ecd4412f77365391a370248fa85531394613a21357b71649e5a1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "484381bbac33ecd4412f77365391a370248fa85531394613a21357b71649e5a1"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "8eabfaab95651f83935157a686e186368b01e0f011d2e2249b57c64c162255ab",
      "value": 2000000,
      "index": 48,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "17c4d7e01f8967e2c4df87c185311471e1b301531140a72f88cd337924dde22d",
      "outputIndex": 1,
      "outputGlobalIndex": 37887299,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120270894e35f27daee400150c9c7996e64f615828c976a5906f9b1998a74907079",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[270894e35f27daee400150c9c7996e64f615828c976a5906f9b1998a74907079]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20fe9f2db5fb79e4535e47ecc0bb8d7462eac1f15099372b1442ee2c0954cec6a8",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "fe9f2db5fb79e4535e47ecc0bb8d7462eac1f15099372b1442ee2c0954cec6a8"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "a78cc44d0e8484588d87b7c92b7ce91298a0b07f2f37fe946be3bdf31f4e5819",
      "value": 2000000,
      "index": 49,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "18bc01de3041cb0b320cd062b6ee6da7613be684d3714f1d2172c311133f46b9",
      "outputIndex": 1,
      "outputGlobalIndex": 37887304,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012086e2e47f57623dc5eba650f130e0953baa6784ace4ac37c37d791639706bb14f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[86e2e47f57623dc5eba650f130e0953baa6784ace4ac37c37d791639706bb14f]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20d927f142286d6205d723b745b1f5dc88df24df442432d445ea42711cfe0f2dde",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d927f142286d6205d723b745b1f5dc88df24df442432d445ea42711cfe0f2dde"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "00db4c78582a1c825bb5cc80ef6d90ee612736ed2ea80e74637a6b08f230b918",
      "value": 2000000,
      "index": 50,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "1e65df5010ff7c35c997164070fd5140de7abca7b664915e1cd73a3f6a551486",
      "outputIndex": 1,
      "outputGlobalIndex": 37887309,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01207b61f2e442e19f328e38b404f10ad1f30e02bd4e2cebaf167967008468dd8407",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[7b61f2e442e19f328e38b404f10ad1f30e02bd4e2cebaf167967008468dd8407]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e207391287ef06bf091490ccf19f98130dcbb97e969fb5468bcccd5a9334f4fa791",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7391287ef06bf091490ccf19f98130dcbb97e969fb5468bcccd5a9334f4fa791"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "3be2b01c71d76f5fc9f84293a5bdd1a9eba3bc36b6cc11dcda9032a5013e5b5a",
      "value": 2000000,
      "index": 51,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "2d81224d042748eff9525f950711f00ffdff2a025b8b5f74b33a7c3d63490e8c",
      "outputIndex": 1,
      "outputGlobalIndex": 37887314,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01209db24719e5c22c9c341c6b270284fe39927cf9045df2b70eae655f8741ed6766",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9db24719e5c22c9c341c6b270284fe39927cf9045df2b70eae655f8741ed6766]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e2088f8d55540d182d6115d055c4a023decede0362d7b9041261f340363532d2e0e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "88f8d55540d182d6115d055c4a023decede0362d7b9041261f340363532d2e0e"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "d4d09b4f0b1e2debd6155bf4dc40c8463d56e9e1507cfe6e6cb5731ff0226c43",
      "value": 2000000,
      "index": 52,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "362389f9ab963fc5d594468afdb2a9617fb3c97b78e5b1bfd86a51ba36e65098",
      "outputIndex": 1,
      "outputGlobalIndex": 37887319,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120a059ddc0320c39de18721444a74be4acf66f6fddbfd46f15d1113f2e18264dba",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[a059ddc0320c39de18721444a74be4acf66f6fddbfd46f15d1113f2e18264dba]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e2086b3899f154d6d1cff35f59b316aeafda12480ff1e089ea50d6600393bc25e8b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "86b3899f154d6d1cff35f59b316aeafda12480ff1e089ea50d6600393bc25e8b"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "9292949806e061d2f193e4c86f7aea9673c9e1ded053552e17dc53cd82353f3c",
      "value": 2000000,
      "index": 53,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "409ad1a7fe5c185a63b234c8337a6d16929b42fab99a5751ee86db3dd8f9a8b4",
      "outputIndex": 1,
      "outputGlobalIndex": 37887324,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "101f04000e209067f5bd556c1592dd4a026cd55099844ddbe9726075019bdaa556305ae7384d0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120745d0ddfb294d7dc9812b3594d4d03ed1cc0ad824f7c73b91eb635c731c75478",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[745d0ddfb294d7dc9812b3594d4d03ed1cc0ad824f7c73b91eb635c731c75478]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20bb8fd2480085c16b67093107881f1aa0eb6223c7be3d4d4c9b6ed178fbb079ed",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bb8fd2480085c16b67093107881f1aa0eb6223c7be3d4d4c9b6ed178fbb079ed"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "1846415b47f8bdedb69876883a2e1a6b4b24959cfacfd069e467c5f145eb88b9",
      "value": 2000000,
      "index": 54,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "49fa78bbc2fc5f23d166105a11fa56af1b341f1f263932e5466c4d8065f49cfd",
      "outputIndex": 1,
      "outputGlobalIndex": 37887329,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "101f04000e209067f5bd556c1592dd4a026cd55099844ddbe9726075019bdaa556305ae7384d0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120feef7062ca6d96af52a840af10890ab50620d925075dfb19397709bc4fb379c4",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[feef7062ca6d96af52a840af10890ab50620d925075dfb19397709bc4fb379c4]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20c5b45ea4a6db84a6c7498fa3fa89d599a65af70134a710c8d000ce655f0ee4d7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c5b45ea4a6db84a6c7498fa3fa89d599a65af70134a710c8d000ce655f0ee4d7"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "e3eb1d1399a64c810f85427c22a622dfaeb78951a281b8018b3e4dfccb9fe7b7",
      "value": 2000000,
      "index": 55,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "546ba521e5690dcbb71cb5f9b3a3bfad9170934b3dbeb6d04d7b9f38bc5d86a2",
      "outputIndex": 1,
      "outputGlobalIndex": 37887334,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012053a12d63d8fd389a86a54575838cbc37af4a54813b35d7d036d653eca9a53323",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[53a12d63d8fd389a86a54575838cbc37af4a54813b35d7d036d653eca9a53323]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20da80059d591ecc4915b89b2cb546e8caea7f016a8752b91cefbe4ea5da54d412",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "da80059d591ecc4915b89b2cb546e8caea7f016a8752b91cefbe4ea5da54d412"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "69bdd6e60e3f8670262011c27c11c51707ca2fa2ee75a5205c21bc2d7807dfad",
      "value": 2000000,
      "index": 56,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "61339618543190bea3e96a09e061d98f4a7523700a83692fb3a2310a330a3fbe",
      "outputIndex": 1,
      "outputGlobalIndex": 37887339,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120952bf9e7cfd3190be16d40a24e60441960f1b1b826ba7589516db0d3f8957161",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[952bf9e7cfd3190be16d40a24e60441960f1b1b826ba7589516db0d3f8957161]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e2085a46c181b1ac7e2db27617023a007f9e07b2c8fe54e15d670bec98baa56f8a9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "85a46c181b1ac7e2db27617023a007f9e07b2c8fe54e15d670bec98baa56f8a9"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "e6cc3a6693f9be15d91080879399ca5b2e4ea1e4bc8bdbd88627cd83fab2852b",
      "value": 2000000,
      "index": 57,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "6e5aac19e39bf8df66a772f28d3ac1af34e989f67dad028a0889cf6dad42586f",
      "outputIndex": 1,
      "outputGlobalIndex": 37887344,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "42fowRYzr5dLpnujcnpq3SSBPDpbnyfhKTKVYtYVo4E7hgirtP2URJvDmBjZJkJkq6eVrsPAXz7cwS5tXcX5jA3EhgLDobNnHF3h4w67KBNM1STLss8WVb4zUQb62jSvBqLCzurFmLELiZvJMTywbDsMb42L4mznJVwj9unu2Wza4itKnYLS2xgZpRgyLus2V6xpX61W8bJ7oVSYb1ZvkvnPESqps2FTRmkrZc2TSnaLhJXvRj2iqsG1xCv3k1HGg5L22A4wfAQ4ad3kSHbQCNbARkvj3vNmzcoQ9hL8FRcjFhtjCiqDReKgLcdgt6Qq8XoUMsoudc95m6brmiXpQkKKWFYHEnAGmQNJbpCxYWYzaKhG1YnSwxCEZJcXk8CqN1eK4jw2UT8SXpz7CARzQCoc9tJVBbFfB48G8zsPeWZHkDNCHwVnzAD2Qky52ZdvPm9kEDcqVZJTmJmos7WcVVTzzns7jctEcF29p4GyT4LhiGDZrvTXXFz6wja7kVjYJBjBLggwjV9Fy6xxYKpFLhBa3spyfZp251nNBbJ8dGFgsAW2gHgRHJu1rX2sdtrRveNrPqjX7Y7RWgVmKg3okNkGhjAyKLGZEH6NSWqxBXeLCdvSg2vRxNcATRuEEPQNtErXpipyEN7tHX29JCjo3PxRDrzGxY27VBM2xJpWmh7hZkR3c3d6oLdNzRofvEgaDZRn82suixvdzXzdZJTw4NF5tLZmBZX74i3ETp3nJeuMxjrT2YQPp9427NiLPkDKif62hhn9ykT1jtnft8KZLuW2H4qdfwgL9wSaHW5ahS2yHNYX5djxLLwR3JLmuZ2rzaG4xrSSr7YSYXcd7geWLwLJGPfvcNMJg329PZmcP66qbLxF8nFhr6aFZWPjCRpbVX8bhi8sDEPYHPJjeJssF4jwYzsFTMVm73C4aMdZJ5o7gamA3wyWvxUQP2TDiioufovdpH6C2ydmjCfnA79fyQwhgGVbJ7EqkkPzinzn1Kogm1sf6uSX4DVubLSgcxyQiCFJB74NqTgBH2saVo3",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120f2fb51c7bacdd5e08a2d905b1238adf0a669e7c214570880b0f0bf4b0672acba",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[f2fb51c7bacdd5e08a2d905b1238adf0a669e7c214570880b0f0bf4b0672acba]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20559dc617d00204c88958fa0e571d54a271033b295137ff875bd9f6fddcbd7385",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "559dc617d00204c88958fa0e571d54a271033b295137ff875bd9f6fddcbd7385"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "867d66a6427aa640194df610e9a4fcb97f76828bfb178305509978e88efa72ca",
      "value": 2000000,
      "index": 58,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "717c1b1911358dca451f61dcf630cacddad4a430f99202946c1dd23e86ab97f4",
      "outputIndex": 1,
      "outputGlobalIndex": 37887349,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01205ce706d382cf0fb737c726b0970015bcf9e4ae76aadf12b4068ac3e5b6db8684",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[5ce706d382cf0fb737c726b0970015bcf9e4ae76aadf12b4068ac3e5b6db8684]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e2041b8c4ae133cff77bff8d53190f80ce3bc7e52872c3a878be7eec8c391691acc",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "41b8c4ae133cff77bff8d53190f80ce3bc7e52872c3a878be7eec8c391691acc"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "842253fee6ad52c2d0f59d37715b2dba27a5e5a75f9d9d5f92d808e327623623",
      "value": 2000000,
      "index": 59,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "7354bac7e3ca0f0e46aec004623c94b28378bae136cc2d5ceba044acd95935bd",
      "outputIndex": 1,
      "outputGlobalIndex": 37887354,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120f8985009d52e6d8d3ce951cb8ba79d74d5ef6c19753c63974bd61543f5e3923c",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[f8985009d52e6d8d3ce951cb8ba79d74d5ef6c19753c63974bd61543f5e3923c]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e207f37645c694a19ba461ce2192c5eba7d92b39be0b8334804fca526e94eedd086",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7f37645c694a19ba461ce2192c5eba7d92b39be0b8334804fca526e94eedd086"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "78e3c2ad49c7c81a5667610e23aef27527ec35bf8e886345303947536a2868e1",
      "value": 2000000,
      "index": 60,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "7b98a29a68455807d11b5799393f613fae9bf1a1ad0e37971734853cf3897444",
      "outputIndex": 1,
      "outputGlobalIndex": 37887359,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01209bd34f9eb406a0142593f3606893ac671c37be0bdeb2d3f836f24854b8159608",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9bd34f9eb406a0142593f3606893ac671c37be0bdeb2d3f836f24854b8159608]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e208869e0e062f88f783c9875cf6068a6f549ce65aabb14c2d2592bf53befb6a7ae",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8869e0e062f88f783c9875cf6068a6f549ce65aabb14c2d2592bf53befb6a7ae"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "5cb472dab6d6b78af66fa785055cf34b9f4e2a39b891fa9ea02772b915baba91",
      "value": 2000000,
      "index": 61,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "7c51f8ebe574cf6690f9d520a436499619ee2b595caf1b39a85e4ca54e836b61",
      "outputIndex": 1,
      "outputGlobalIndex": 37887364,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01209e5f8d2375530b619404eb50bf11dfef081570cd0356c452734d01a72897a0f4",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9e5f8d2375530b619404eb50bf11dfef081570cd0356c452734d01a72897a0f4]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e2034067b2db4c5d908ab2fdab26ed69b4480fb9a6ab795f1b90b1a34a83de22fde",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "34067b2db4c5d908ab2fdab26ed69b4480fb9a6ab795f1b90b1a34a83de22fde"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "78514b6340687398771b146dd38957535d46da6511b421949b414eacbfb73d63",
      "value": 2000000,
      "index": 62,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "9f9b4a599ef22e0618227747106a5c7219ede9724e9250e513da358676720136",
      "outputIndex": 1,
      "outputGlobalIndex": 37887369,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120f2ae66fd7544496701d7f29f66b614bc93406aa25619ce253a91c1c40ccde958",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[f2ae66fd7544496701d7f29f66b614bc93406aa25619ce253a91c1c40ccde958]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20b72b702f8285044f881c95d968c8bc756a83db19328bc12cabd370c11b2d4585",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b72b702f8285044f881c95d968c8bc756a83db19328bc12cabd370c11b2d4585"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "30a62a03e73de53408df07a6a5b90dc8cfb552a52e7bdb75045ed1cc873e24f1",
      "value": 2000000,
      "index": 63,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "9fe9916d43300dd2dee8e529eb71d268ece5025a38b4d4331553913b1f333833",
      "outputIndex": 1,
      "outputGlobalIndex": 37887374,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120b1e61e565db9ed3d89b28c3c72a959aa8e6c1775e540e46e5bfdd6ed08e24ce2",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b1e61e565db9ed3d89b28c3c72a959aa8e6c1775e540e46e5bfdd6ed08e24ce2]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20458da2ce33088b3d52e8a2a011ddd86e68d2184cbf621dd6eb26f2c8f12970fe",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "458da2ce33088b3d52e8a2a011ddd86e68d2184cbf621dd6eb26f2c8f12970fe"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "62cf92b517f4de2ff42ec2e5a36c0641570c14cc83a77e5b45143462037b4ec9",
      "value": 2000000,
      "index": 64,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "a65799d03a07acd2110354bf0f8ecf44ff73057d64be42a4aa3498c49b727f30",
      "outputIndex": 1,
      "outputGlobalIndex": 37887379,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120e5b8a00cce25bcece9f11f5c6354f4cb6172bd009556069c1f19cfa0c73dae8c",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[e5b8a00cce25bcece9f11f5c6354f4cb6172bd009556069c1f19cfa0c73dae8c]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e202e992791a12d13b88fc2484c4319e71bfbcde8232324f7ad013610a06cdcd5c1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2e992791a12d13b88fc2484c4319e71bfbcde8232324f7ad013610a06cdcd5c1"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "3ac7d416572ae016686fad162b390b2bd6d3e8024f4f2b1c281a3bcd105c348d",
      "value": 2000000,
      "index": 65,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "c22ec73e0d7e9605705123ecb73912b2f855d7db3cece2ccc5b14c706e87e382",
      "outputIndex": 1,
      "outputGlobalIndex": 37887384,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120778c65f5171c5690990eb7dd08f210509c39d84a6aabc50afa8988a746e520ba",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[778c65f5171c5690990eb7dd08f210509c39d84a6aabc50afa8988a746e520ba]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e2004e10ee797feed7584b233f2f1ac203a8f2e92691f46b19af3dd304075c6109c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "04e10ee797feed7584b233f2f1ac203a8f2e92691f46b19af3dd304075c6109c"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "2b6096309fc952191663db3a6684be1cb54a042c8a4ca84e9706a25a1792a6b5",
      "value": 2000000,
      "index": 66,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "c979a4336057531f20704ea4a2b817d90548bac80d1010117f9086d333ccff52",
      "outputIndex": 1,
      "outputGlobalIndex": 37887389,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120477df4283fa7278e82de362e9e3067fef28a7959eb79291bf905077feb06e7cc",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[477df4283fa7278e82de362e9e3067fef28a7959eb79291bf905077feb06e7cc]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e20777426c97e65e728551ee4c0317b0a93b86e1a3cef994d5d81a906507bc5d2a1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "777426c97e65e728551ee4c0317b0a93b86e1a3cef994d5d81a906507bc5d2a1"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "297560af99391a9e537789f6ce9c93f37469f2a738b5a82280de7cf62f1bb76f",
      "value": 2000000,
      "index": 67,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "dc58d99398a107ceda94655d787a5f698d307b79a75d6c487679e22b45f708f0",
      "outputIndex": 1,
      "outputGlobalIndex": 37887394,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120441f3a2b69b0dc7fd8a1b5b90dac5bea494319007155577880733b9660f55ac1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[441f3a2b69b0dc7fd8a1b5b90dac5bea494319007155577880733b9660f55ac1]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e202eacc490862ba0ce8db1db644ea45cefbab4642aac7e52ded676cdf5a4ecf4d9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2eacc490862ba0ce8db1db644ea45cefbab4642aac7e52ded676cdf5a4ecf4d9"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "42c36363664c967ff7f5c7c1e69c56a1f37b2c39b1eb33f58527a109a708ed4b",
      "value": 2000000,
      "index": 68,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "e3e7d106ccd242c99f8b91c4c73e7ba55803fdcf52c048199e32f15cba303e59",
      "outputIndex": 1,
      "outputGlobalIndex": 37887399,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120bf34ef36c34366bfe9076573c94af5434d416318ebaba8a0c623b28cbd921c68",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[bf34ef36c34366bfe9076573c94af5434d416318ebaba8a0c623b28cbd921c68]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e2002dce7d988a7cf67c4199c98788386a2ed19f7585b4030c9bbfaed6cfb507136",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "02dce7d988a7cf67c4199c98788386a2ed19f7585b4030c9bbfaed6cfb507136"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
      }
    },
    {
      "boxId": "f1954afd0a1972f7c3a2ef907923012f0a306bd8251ee8a13b8e78b085d41333",
      "value": 2000000,
      "index": 69,
      "spendingProof": null,
      "outputBlockId": "2d9a610c139ab46cc7936f56738aa4b801750cd5bf2de41d4612bdd073687326",
      "outputTransactionId": "ee5be57688217c693d15d8fb4f2f77ea1086e00633ecaa8cdd355cb19f3e380d",
      "outputIndex": 1,
      "outputGlobalIndex": 37887404,
      "outputCreatedAt": 1219399,
      "outputSettledAt": 1219404,
      "ergoTree": "101f04000e209067f5bd556c1592dd4a026cd55099844ddbe9726075019bdaa556305ae7384d0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(-112,103,-11,-67,85,108,21,-110,-35,74,2,108,-43,80,-103,-124,77,-37,-23,114,96,117,1,-101,-38,-91,86,48,90,-25,56,77)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-20,-18,-28,-73,45,-123,114,-64,50,120,-103,39,-95,-124,117,87,41,47,-72,11,120,-5,88,-42,33,71,84,-46,-44,116,39,45)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val coll7 = box5.R5[Coll[Coll[Byte]]].get\n  val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n  val box10 = OUTPUTS(placeholder[Int](5))\n  if (bool3) {(\n    val box11 = OUTPUTS.filter({(box11: Box) =>\n        val opt13 = box11.R4[Coll[Coll[Byte]]]\n        opt13.isDefined && (opt13.get == coll4)\n      })(placeholder[Int](6))\n    val tuple12 = box11.tokens(placeholder[Int](7))\n    val tuple13 = SELF.tokens(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n            {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n          ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll11 = blake2b256(box10.propositionBytes)\n    if (coll11 == coll2) {(\n      val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n      val coll13 = box12.tokens\n      val tuple14 = SELF.tokens(placeholder[Int](11))\n      val coll15 = tuple14._1\n      val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n      val i17 = coll16.size\n      val l18 = i17.toLong\n      val coll19 = box12.R6[Coll[Long]].get\n      val l20 = coll19(placeholder[Int](12))\n      val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n        Long\n      ](16)\n      val l22 = coll19(placeholder[Int](17))\n      val tuple23 = box5.tokens(placeholder[Int](18))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n              {(box24: Box) => box24.value }\n            ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n              {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n            ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n              Coll[Byte]\n            ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n              Coll[Byte]\n            ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n              l21\n            }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n          )\n        )\n      )\n    )} else {(\n      val tuple12 = box10.tokens(placeholder[Int](26))\n      val tuple13 = SELF.tokens(placeholder[Int](27))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](28)\n            ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012087d76b69ef05f09b62ea12906c38c9106207ed86ff49e0a3ef4053faa1ce61d4",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[87d76b69ef05f09b62ea12906c38c9106207ed86ff49e0a3ef4053faa1ce61d4]"
        },
        "R5": {
          "serializedValue": "1a01203fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3fb2321c24ed251d87c0b00c86a7838e5bee8c55aec0acec4e9444f01d35ffb1]"
        },
        "R6": {
          "serializedValue": "0e207616cd458d76b8e4b4582eec4c8a2374f7f218260deda1b582c7a9f6a795b5cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7616cd458d76b8e4b4582eec4c8a2374f7f218260deda1b582c7a9f6a795b5cd"
        },
        "R7": {
          "serializedValue": "0e207135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7135f4e2a2dbb65f916c721e4a8a59a08894b8650c4a23223cce13b1b090b344"
        }
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    },
    {
      "boxId": "336540aa3dc8ff29e03b3a2e66b3e5806f638d1aa1d0400e103a4731d878fc28",
      "value": 2000000,
      "index": 70,
      "spendingProof": "7a71c3edc01a8a986e480c8e8845d792116d1c694865b5248b5789ff609d9e33c932002d65c4e5d7d69a5f9481e258d6d18eaa986d8073e8",
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          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[63617264616e6f,c6ccbad58cdcf2382e8154724b8991c54d498831188e3d47e628afbaa9897db5,745d0ddfb294d7dc9812b3594d4d03ed1cc0ad824f7c73b91eb635c731c75478,3d83a4ab97bbe3e9278af955882b1171bc201faa87b066e744fad61da580170c,aced39348632357775564aabf3d78d6248b05c70259f7e9133a0c41af26d0eeb,9c29664c8f13f89554c6392e7ff2ffb0e8c503ef6b5b8dba4f2e52f61b99a154,4acca9325ddbad467d9768116258b52968a0b9974c2549109f94fad7947b712f,270894e35f27daee400150c9c7996e64f615828c976a5906f9b1998a74907079,52b8e50ab08a3d13701fcfec128ed2acff11dfb17c8c169ba6c87b5b016d5c43,3944ab8c5682b2871fb73e57958f9c720826662fa86848353f46ac4ffcd31deb,d60405821beec8f85d8ca5916c46f4f05a0ae48a03ec9830b0239c0cb3617bfb,952bf9e7cfd3190be16d40a24e60441960f1b1b826ba7589516db0d3f8957161,ae3a1c919c4b5e3b831a62396441882b7cecc440b9666a273dbd6abd0751a152,d143e889d67a6cffe25c9e75919525660473c5946cb08429fb5c2b938ffcbca8,87d76b69ef05f09b62ea12906c38c9106207ed86ff49e0a3ef4053faa1ce61d4,e42265bf88468ac9d96bc1e01790f11df8b6c3be3a5655df7d6f8197ef070794,b40729cd9e076dfc4a2b2dcd822560025351085fe2b79a18abb1373b89a780e9,86e2e47f57623dc5eba650f130e0953baa6784ace4ac37c37d791639706bb14f,03310f1404169ec32948f0af18b057f54371f9982514ecc44043c137fa58c533,64579f3015feb870475d0d057fc431f8b037a19091e12cad0d2f0dd8229cffec,0e748945c4de1860fe90ccf65e8883e35525fe2b7a8108c3d25c7d4cf7f92756,b1e61e565db9ed3d89b28c3c72a959aa8e6c1775e540e46e5bfdd6ed08e24ce2,feef7062ca6d96af52a840af10890ab50620d925075dfb19397709bc4fb379c4,f02db07c654b443eea4b8773fd47f786b95196c4afc1fb46562606945ba490e9,5818eb5d911ecd2b9f09a680e2b84bcaa281f624fb67c3e9b97d7cb01fc71da4,9e06c53dac95224036d941d176cc9893e7f7c0e8376ea1555d6a42f0bbe8c02c,3effc426ba46fec9be13992cc9c38f205944c8d5bdf90f0c99a5b5850a61bc70,2c1f4ecd011968d7faacec7be81ae207ef05b036c0172539c5f3dba43d10b05e,778c65f5171c5690990eb7dd08f210509c39d84a6aabc50afa8988a746e520ba,fd0595d39a98f632dcb5db279ce545bab3e24eea1dce02e507739aeb7eb767eb,8606f31f2d44ae4ed590bc9de4ea5f0692c842c102da527d1d123b8fcd024c03,243fdb81eeeebf81c67554062ba3b9cff03ba22e3ad85ab75c2930a948fa10bd,a95e27d5890c5af17a62fed098fbd41a372fa46db9e0f7521dee42bc9cb13936,441f3a2b69b0dc7fd8a1b5b90dac5bea494319007155577880733b9660f55ac1,d2d5b1d12dc6f06406dd6ed6a196447aa9414fca80bfb89009b52c190ff96e22,e5b8a00cce25bcece9f11f5c6354f4cb6172bd009556069c1f19cfa0c73dae8c,520399bc0486111aabbae6d3163aafd0d8aabed990db0255b09ae911cafb975a,7311710e4017f7deed3e33ffcd9c1ded5279a0ba8256f52133c2c8648a4cddf1,8ca71f357841d289246dcde321a162d76c01649b235a5f902617de6b027e3712,bf34ef36c34366bfe9076573c94af5434d416318ebaba8a0c623b28cbd921c68,656708fdd4aefe28b7e87841d4a5f20334d28114a384aa1acc065cda060ba726,f2fb51c7bacdd5e08a2d905b1238adf0a669e7c214570880b0f0bf4b0672acba,46d6f4f080d5d185773a001d6ff796a3883b39725b777db9ecacedb626ecc445,7b61f2e442e19f328e38b404f10ad1f30e02bd4e2cebaf167967008468dd8407,0fe391e2d5774484c6589aa375187a3b5ebe436f84b1151f6df9bf5e9adea76a,84598de02112b1879284c203f98ecae2cbe90b6afdfc37c8241e39d6b8e2a91d,903329af618fda088fcd150398dc1c094e1c515ad0a3cb5edcc338420ee8fab2,f2ae66fd7544496701d7f29f66b614bc93406aa25619ce253a91c1c40ccde958,f8985009d52e6d8d3ce951cb8ba79d74d5ef6c19753c63974bd61543f5e3923c,a059ddc0320c39de18721444a74be4acf66f6fddbfd46f15d1113f2e18264dba,9253a888fb7fb1f1e7fb16940aac8b793833d2d19ab2d982543f24a3b15a3d51,8e4e3b445ed86917bb4b72bf6b6a81b592169adae87e870a93340c1c29b92d3a,e5f4afae0ce544d3e1d705724bfa042d3b60db3c449ac84ce7d3be7a291fd90f,e66ddb385bafbb373bf4b9735b96b2c3e1ba3e654a8d1b91ccb4d1bc8edb6e1a,5ce706d382cf0fb737c726b0970015bcf9e4ae76aadf12b4068ac3e5b6db8684,41788509b744735a550b56a2c9edd1d90a79225aa054742b6355f8291c1ac1c7,e7707b4ef4315172a6678d31aa6b91a118537a998972cc36739cc478a72421d9,ac91a8dc441f665f6f592754f9776d3716a300a51b8ef8cc07b5ebf3249b87aa,477df4283fa7278e82de362e9e3067fef28a7959eb79291bf905077feb06e7cc,c69d97f4fdacf77b6719e364a654d2f5c9ea2a26ede80c81880fb679bc154cc2,edb54bd783ba8df4e75c707bcb24192129ede7adad60b1d53c3307bb61641106,68cd1848a9933cc4eb36d09b6ba39812e8daaa2b20c196f1efa10b30b83a9ad3,2b30e5582145f9bcedfa8a2aa86298ac8a5231ad8945254dfd615b56c93b7af5,53a12d63d8fd389a86a54575838cbc37af4a54813b35d7d036d653eca9a53323,5e65be4e2e83b87364012b7747f7d0c06f60585cb3193a0de43807a6c4130fe9,9bd34f9eb406a0142593f3606893ac671c37be0bdeb2d3f836f24854b8159608,9db24719e5c22c9c341c6b270284fe39927cf9045df2b70eae655f8741ed6766,2a7f8c59033f9773ef1593b126b71332a92f310fc900dd6b59b70ec963602be9,9008014c851d04af437550b9de80adc5a573fb3751c8c119a19626893ac3d951,fa93303bcf6cd09a90a81dc552db699424075ee615c15f3e058477ff9833f3e8,7eb47dc621d93d5c6d6cfdb9f5df96592a29b99eb6a04067b6c1144b47c31fdb,7871f0a716ad6f258cee6029c106175fd736f87f5bdd374ec626189cc9a67d09,f1524b455e77a7c820e875c2dba6d33c31d36841483d431c52f1060af95e6c94,f51098c81ee79c94788786861e7758261862bc6d8e0177440134b602a87de9cd,7216aec2d6c40ac9fa38de85596cba5a2ef44b8970d0a0a44f69683eb912273d,9e5f8d2375530b619404eb50bf11dfef081570cd0356c452734d01a72897a0f4,e879240bfdf47b115a51eb5a0bd3411a68ab794e40ced75eb90729a13c769f72,86ab8807f16f3dfb3e400ab4be7620e835fe24602cea51c0f969417a1864489e]"
        },
        "R5": {
          "serializedValue": "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",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,45082444,30000001,48000001,30000001,216000001,30000001,18000001,18090000,6034467,30002001,18000001,27000001,108000000,12000001,18000001,135001001,295010000,18000001,27000001,60001000,15001000,15000001,90000003,9000001,42000100,9000001,6000001,27002000,36000001,12002000,13255582,15001001,30001000,30001000,30001000,30000002,18000001,30000001,30001000,21000001,30000708,30001000,30000001,30000001,9000002,60008100,102000001,24000001,20861056,30000001,60001000,20000001,120019000,24001000,12000001,19807888,6000001,15120000,30000001,9006000,12219903,12180160,50313352,103090712,11435831,18099540,15001001,27000001,21000014,21000001,30000001,12200001,30001012,3001000,60001000,9001000,15001001]"
        },
        "R6": {
          "serializedValue": "1106809bee027802c8018080babbc82e808ece1c",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[3000000,60,1,100,800000000000,30000000]"
        },
        "R7": {
          "serializedValue": "047a",
          "sigmaType": "SInt",
          "renderedValue": "61"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "4bb030ff982dd03d8cd65c31bf1de8bfcf83137bfe401c76e7ad5f52a79c2799",
      "transactionId": "ee963bfaeba18dee7c2a325d3e4962c8504969413680b9a7f8c02a2f3f870b38",
      "blockId": "95eb614464130d0e510b9f76eab2daa31375b007ea70122220c643d05e6f35ad",
      "value": 139200000,
      "index": 0,
      "globalIndex": 37887506,
      "creationHeight": 1219405,
      "settlementHeight": 1219407,
      "ergoTree": "100c0400040004000400040004000e20d3871cf05e62d0d003f3f2e9ec1e60c07f685ed413f24a41c7839d6ec29a6e30040204000e20cffae825313193178cfe8c528e521bc5c88f74a970ad1da6f25f12c728416a8304c0d1020e209efa44e79a21703197a2d888fc204cf6435711cdefcfdf5bcb8fb929e5091bbad805d601e4c6a7041ad602b17201d603b4a573007202d604c2b2a5730100d605cb7204d196830301937202b17203afdc0c1d7201017203d901063c0e63d801d6088c720602ededed9383010e8c720601e4c67208041a93c272087204938cb2db63087208730200018cb2db6308a773030001938cb2db63087208730400029d8cb2db6308a7730500027e72020595937205730696830201938cb2db6308b2a47307007308000173099299a3730a8cc7a70196830201aea4d901066393cbc27206730b937205e4c6a7060e",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: Coll(-45,-121,28,-16,94,98,-48,-48,3,-13,-14,-23,-20,30,96,-64,127,104,94,-44,19,-14,74,65,-57,-125,-99,110,-62,-102,110,48)\n7: 1\n8: 0\n9: Coll(-49,-6,-24,37,49,49,-109,23,-116,-2,-116,82,-114,82,27,-59,-56,-113,116,-87,112,-83,29,-90,-14,95,18,-57,40,65,106,-125)\n10: 21600\n11: Coll(-98,-6,68,-25,-102,33,112,49,-105,-94,-40,-120,-4,32,76,-10,67,87,17,-51,-17,-49,-33,91,-53,-113,-71,41,-27,9,27,-70)",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Coll[Byte]]].get\n  val i2 = coll1.size\n  val coll3 = OUTPUTS.slice(placeholder[Int](0), i2)\n  val coll4 = OUTPUTS(placeholder[Int](1)).propositionBytes\n  val coll5 = blake2b256(coll4)\n  sigmaProp(allOf(Coll[Boolean](i2 == coll3.size, coll1.zip(coll3).forall({(tuple6: (Coll[Byte], Box)) =>\n            val box8 = tuple6._2\n            (((Coll[Coll[Byte]](tuple6._1) == box8.R4[Coll[Coll[Byte]]].get) && (box8.propositionBytes == coll4)) && (box8.tokens(placeholder[Int](2))._1 == SELF.tokens(placeholder[Int](3))._1)) && (box8.tokens(placeholder[Int](4))._2 == SELF.tokens(placeholder[Int](5))._2 / i2.toLong)\n          }), if (coll5 == placeholder[Coll[Byte]](6)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9), HEIGHT - placeholder[Int](10) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](11) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
      "address": "nzc6aD1QoVYS1tEcrd3mg9MUkBf9hbtJXzpqMG4LeoZ7jJ1UY6Y5v6cJnmaJRC2ZcR5N2UJZxsBkXQ5CvGadv3ty6aBLLhFBvKkyuvrDKvVNTJBTRuuo8t5nVPjeCzCowyLEJHefbBDVwGhKfFba3EmatvHwn7VumQwedAcWzMs8h3SiKr6BVi59Bb4z6rD2YMDgXAZW2xrA4FF7Xv4QWwyRJGuJHe6sJ42J9W2PK7iVV5qp5q4zJhFksCgfhkdFCgQYqfYsjqYY5rH16FyHmt6skZjqy5KCAJ2oLTPWp4yYJ4CNZ4NH962rg7rXYR3L9fNXt9T5ZsUrfnhM8zkhdF69UfgVnbJxWDWsoQfxTxHyETuo1MRLdpLZ7J6o3kmMAzxAPqeNFsYj7G4wN8VyLj1uEjLT4r1ukVTHxR5jaBenVsMWYgTXKqEPV9sSbfL9dpU",
      "assets": [
        {
          "tokenId": "bee1398b0a7acc0a4a0bc8619ef473a462f4c23208072f2aaeddfef67d30166a",
          "index": 0,
          "amount": 210000000,
          "name": "rspv1CardanoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
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      "transactionId": "ee963bfaeba18dee7c2a325d3e4962c8504969413680b9a7f8c02a2f3f870b38",
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      "value": 2000000,
      "index": 1,
      "globalIndex": 37887507,
      "creationHeight": 1219405,
      "settlementHeight": 1219407,
      "ergoTree": "0008cd0205f5a076d8512c72c63fd1adb0848ad39a81e4428762d293bc6973bc5c1a4728",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5f5a07,8d180b,...)))}",
      "address": "9eZgjz8PphoSWQiNTtmE1sysZoRiiTc8NmnTJpiN57SvBXcDnWH",
      "assets": [
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 0,
          "amount": 34435,
          "name": "RSN",
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          "type": "EIP-004"
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      "boxId": "15df836493e0349ad5135876d8dc466b2913afd39c4b668d7f249e7ae6de64ef",
      "transactionId": "ee963bfaeba18dee7c2a325d3e4962c8504969413680b9a7f8c02a2f3f870b38",
      "blockId": "95eb614464130d0e510b9f76eab2daa31375b007ea70122220c643d05e6f35ad",
      "value": 2000000,
      "index": 2,
      "globalIndex": 37887508,
      "creationHeight": 1219405,
      "settlementHeight": 1219407,
      "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": "2d42b07befee3ed193a323769eb4b9910942cac36f4d0709d499d7e845f43d2d",
      "mainChain": true
    }
  ],
  "size": 5916,
  "isUnconfirmed": false
}