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Transaction

1/23/2024 09:12:51 AM
ID: 841a020bf4...f4e0
Inputs (65)
#0
bb7f83c2fdf1...0c38
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
c4d453fed505...876e
Settlement height:
1,184,143
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#1
22c8ba548193...7459
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
4e2f675083c9...ae1b
Settlement height:
1,184,143
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#2
2f8f347131f4...61c5
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
e80944a507a9...bf17
Settlement height:
1,184,143
Value:
0.0011 ERG
Tokens:
rspv1ErgoRWT
3,000
#3
1226480f7619...7bb9
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
44f02af6aae3...179d
Settlement height:
1,184,147
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#4
b3d97e43025f...86af
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
6aab1a4756b3...8c65
Settlement height:
1,184,147
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#5
1254b3dd3e89...be6b
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
70c698f5bece...3503
Settlement height:
1,184,147
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#6
d3713b3eace8...a3f1
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
0141b22187b4...c823
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#7
bfdd72a47ccf...42f2
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
19c1905862c2...6b35
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#8
8d53524a6f1d...6bc5
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
1ca83add92b7...f87b
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#9
5d0f8be28530...7593
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
218084c24930...b8e6
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#10
aaa58ce1edd0...9555
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
2790db4b02ad...e41c
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#11
5b12e7f52e7f...9042
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
2880e4c161d7...62b1
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#12
87ca94933217...6e6e
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
3981bce9470e...163e
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#13
bfbf1030e842...8987
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
4f4694fc990d...ac49
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#14
799ac3e8a933...b52d
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
67471163deab...7056
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#15
0367191940a4...645e
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
824a861905de...84f6
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#16
426f570a1f38...940d
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
8533ed85ab75...8c09
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#17
a739ff9f7138...3e26
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
8674fd21fd66...972b
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#18
f3c63e25c27f...12f8
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
906a47917938...5027
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#19
8962f9352b05...c86f
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
9b40f0a849b7...5cba
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#20
07e46a3e0d8d...0622
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
a555c5c95de9...ea94
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#21
0e79f5805344...c7d6
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
b94438bf3d03...6276
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#22
cb9765b9a792...def3
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
bf37823ad0d5...25b1
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#23
b5785e5fc206...81e5
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
dd6f1ab596a6...35fc
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#24
c3acbaca38bf...bfd8
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
e563af71de0e...e868
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#25
fccbadbfc01b...907c
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
ec9cc36c04f9...26b7
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#26
3ae7b42ecdec...b5cb
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
f256ae686a4c...3777
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#27
987f90dedfde...7e81
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
fb917c9c5cc7...a831
Settlement height:
1,184,149
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#28
f0654bffdc78...9d10
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
00bc3f7b6485...c0b5
Settlement height:
1,184,150
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#29
d1d17ba6a202...a716
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
133bcf20a2e4...c5a3
Settlement height:
1,184,150
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#30
429bd26902a6...292b
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
158002df4008...013e
Settlement height:
1,184,150
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#31
2ea74096ebd4...8180
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
2ee60de21820...2449
Settlement height:
1,184,150
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#32
1c1aaadb5d2b...b59f
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
36c256478f6b...c9e7
Settlement height:
1,184,150
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#33
5b4c077c5879...2ce6
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
43be78e31be5...9d4e
Settlement height:
1,184,150
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#34
7ceb1dde1a45...8aef
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
4f591721b453...1c26
Settlement height:
1,184,150
Value:
0.0011 ERG
Tokens:
rspv1ErgoRWT
3,000
#35
79a19c42d144...97a2
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
5cfea4039609...90de
Settlement height:
1,184,150
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#36
454ecb58e5a8...8862
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
81c695338e43...c5f3
Settlement height:
1,184,150
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#37
32e8ec4e9483...16b5
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
8370e3faeaac...05eb
Settlement height:
1,184,150
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#38
157b3399ccde...11f0
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
a6d0ec073551...56ea
Settlement height:
1,184,150
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#39
72b7abeb2c3b...cac3
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
ac4a32be2025...4b69
Settlement height:
1,184,150
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#40
26efaf23de38...6557
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
ba4ab6739261...aa31
Settlement height:
1,184,150
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#41
41a39f0e7b9a...3051
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
badcbeccb49e...822f
Settlement height:
1,184,150
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#42
a56de7ba94cd...3f37
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
beda91238de3...a126
Settlement height:
1,184,150
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#43
672b9b01bfd2...67fe
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
dc5b971e35bb...f3d6
Settlement height:
1,184,150
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#44
c5914869664a...fa42
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
e8b12286d403...744a
Settlement height:
1,184,150
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#45
69aa8bb5437d...a1a2
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
fb146011c4e1...a04a
Settlement height:
1,184,150
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#46
bbd4438c979d...c5fa
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
e6afd797c1a7...ae0b
Settlement height:
1,184,150
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#47
df58dc15a2c5...6ffb
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
6652df0b9101...55a6
Settlement height:
1,184,151
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#48
31ade5b25283...ed70
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
8631403a0ea4...ef81
Settlement height:
1,184,152
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#49
2d9f8a88c94d...4c87
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
9c4f4ccf0d55...c9f4
Settlement height:
1,184,152
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#50
58097703dd85...7bba
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
0d514d4646f8...e5c8
Settlement height:
1,184,152
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#51
19b6bcb8917e...df4f
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
169a34ff3ac9...3216
Settlement height:
1,184,152
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#52
5fb6ca3f98a6...1a89
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
27f251ac2145...19d8
Settlement height:
1,184,152
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#53
2a8ed37558db...2733
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
2f0fe964f9d7...1748
Settlement height:
1,184,152
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#54
b475cdf9c981...58f7
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
356928f92d8a...2909
Settlement height:
1,184,152
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#55
c8c8338e25ed...866b
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
6595f066b4b1...44a1
Settlement height:
1,184,152
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#56
75b31904a9b0...4735
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
78a09e7ba6ad...32ad
Settlement height:
1,184,152
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#57
b0b3258878bf...8940
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
b3e4dcc3c9dc...cf92
Settlement height:
1,184,152
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#58
8f4d34e5d178...8e72
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
c5b03f470bf1...158b
Settlement height:
1,184,152
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#59
26209d6bdf6e...f7ba
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
cab10747bb1e...c093
Settlement height:
1,184,152
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#60
18749e56ae10...065c
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
d84ce71410db...d563
Settlement height:
1,184,152
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#61
28d598514d2b...81dc
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
f41b0428c70b...3c85
Settlement height:
1,184,152
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#62
54422e50436c...8e03
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
f6149a167f72...cf0d
Settlement height:
1,184,152
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#63
0c14d9eadd50...ba07
Spent
Address:
9hHV9kXwciEi...snDV
Output transaction:
cefe4632bcf2...4707
Settlement height:
1,182,215
Value:
0.002 ERG
Tokens:
RSN
2
#64
a6d020ac20af...c116
Spent
Address:
9hHV9kXwciEi...snDV
Output transaction:
5b28676ee565...7614
Settlement height:
1,181,541
Value:
0.002 ERG
Tokens:
RSN
1
Outputs (3)
#0
3e73f41806b5...d769
Spent
Address:
nzc6aD1QoVYS...DdsT
Spent in transaction:
b130fb45feb8...07a9
Settlement height:
1,184,154
Value:
0.1242 ERG
Tokens:
rspv1ErgoRWT
189,000
#1
f8a7f96920a0...f15c
Spent
Address:
9hHV9kXwciEi...snDV
Spent in transaction:
c1ca69c4420b...e76e
Settlement height:
1,184,154
Value:
0.002 ERG
Tokens:
RSN
3
#2
2fc6a4733409...94c2
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
d515492c56b6...0b37
Settlement height:
1,184,154
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 5.32 KB
Received time: 1/23/2024 09:12:51 AM
Included in blocks: 1,184,154
Confirmations: 584,083
Total coins transferred: 0.1282 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000367 ERG
Raw Transaction Data
{
  "id": "841a020bf495625f720463f19cfa777337e5a2eb858340deb09037b52a37f4e0",
  "blockId": "b659c323dd80f91f39676775be9c132b7d808a4af944a9b301d08e10126663ec",
  "inclusionHeight": 1184154,
  "timestamp": 1706001171145,
  "index": 3,
  "globalIndex": 6513742,
  "numConfirmations": 584083,
  "inputs": [
    {
      "boxId": "bb7f83c2fdf1699b1b635fd294486692e89429fef951dd71d4f2d4184a300c38",
      "value": 2000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "d5dd006e619756c152bb5032cc768b88c334f8983cd8d5bd93914467cdac9002",
      "outputTransactionId": "c4d453fed505a2e5ea582362d47c8ef2be4f90d89cf287611a980a84822d876e",
      "outputIndex": 1,
      "outputGlobalIndex": 36337520,
      "outputCreatedAt": 1184141,
      "outputSettledAt": 1184143,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012095a18f605b807b3a26b76e143aa1d58c96a95132c264ea79a6715b90a6095e91",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[95a18f605b807b3a26b76e143aa1d58c96a95132c264ea79a6715b90a6095e91]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20adf84ca13da64247aab02b3c3115f3e15496a6b79469ccf9bc787c6883cc0467",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "adf84ca13da64247aab02b3c3115f3e15496a6b79469ccf9bc787c6883cc0467"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "22c8ba54819370f07116c4d5c23350bc7ecb08c5ba485b40ac6d555809877459",
      "value": 2000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "d5dd006e619756c152bb5032cc768b88c334f8983cd8d5bd93914467cdac9002",
      "outputTransactionId": "4e2f675083c997d9d5a401626b3b2cfd9da9ec66d056f53f54365a006657ae1b",
      "outputIndex": 1,
      "outputGlobalIndex": 36337525,
      "outputCreatedAt": 1184140,
      "outputSettledAt": 1184143,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120f013b55a08ffc34bd6faf0aae1acd6eea59a7684b62688e88083c4a29aff50bd",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[f013b55a08ffc34bd6faf0aae1acd6eea59a7684b62688e88083c4a29aff50bd]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20f37a7f23c015a4bcd3fd3c8388b73d05349a29967fc6dac5dfa49a428becaa7d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f37a7f23c015a4bcd3fd3c8388b73d05349a29967fc6dac5dfa49a428becaa7d"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "2f8f347131f4139ddd3bcaa7dc1cee0cb7e21caa61982d1f4a0e932d7ae461c5",
      "value": 1100000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "d5dd006e619756c152bb5032cc768b88c334f8983cd8d5bd93914467cdac9002",
      "outputTransactionId": "e80944a507a9f20c758895a4f64560fe11c26f3fcc244b74cb860c8bae9ebf17",
      "outputIndex": 1,
      "outputGlobalIndex": 36337530,
      "outputCreatedAt": 1184141,
      "outputSettledAt": 1184143,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120a406e718c4852faa535069db4b88eb23324a8a333c4fe8af65697f749d954fe2",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[a406e718c4852faa535069db4b88eb23324a8a333c4fe8af65697f749d954fe2]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20a2968d0daeb79ae1d29bef8eea2fcf205473b5f97533295c988bc9309a4c5051",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a2968d0daeb79ae1d29bef8eea2fcf205473b5f97533295c988bc9309a4c5051"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "1226480f76193d52b2081a5c983616450e19e6c074347e10f5614f059f567bb9",
      "value": 2000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "6de324c9da0055883b9330e40fb2fe5733e908d6e10f6965e047bee2db04a3f3",
      "outputTransactionId": "44f02af6aae3bcea9699a5e9372c69685ddbcb52fd2b265f52bb380d1f4d179d",
      "outputIndex": 1,
      "outputGlobalIndex": 36337653,
      "outputCreatedAt": 1184145,
      "outputSettledAt": 1184147,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012058f4c13466ce55ba30cc4978e3d9c36aa830b10f8b470a170d8e05805277f3df",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[58f4c13466ce55ba30cc4978e3d9c36aa830b10f8b470a170d8e05805277f3df]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20d01b83b79098443c2e6d272134884520190c7e65125c6aa06ed0ed9f99866bb6",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d01b83b79098443c2e6d272134884520190c7e65125c6aa06ed0ed9f99866bb6"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "b3d97e43025f028c3f3a43b49671664c5bb9cf3f8d1b9e6b71c5667d30ee86af",
      "value": 2000000,
      "index": 4,
      "spendingProof": null,
      "outputBlockId": "6de324c9da0055883b9330e40fb2fe5733e908d6e10f6965e047bee2db04a3f3",
      "outputTransactionId": "6aab1a4756b3052c8931bf68e98a834f3e43840aa7e404b47cbddc6fb4638c65",
      "outputIndex": 1,
      "outputGlobalIndex": 36337658,
      "outputCreatedAt": 1184145,
      "outputSettledAt": 1184147,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120258f3ad3545b9e7a89271a1461a71ff51f1f1c310a1332f0ad5efe060a8a74fd",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[258f3ad3545b9e7a89271a1461a71ff51f1f1c310a1332f0ad5efe060a8a74fd]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e2017df8aa22453aaf833cb76050b0cd54447f6be2072abc8c244b3bba039ddb852",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "17df8aa22453aaf833cb76050b0cd54447f6be2072abc8c244b3bba039ddb852"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "1254b3dd3e8929fcc9a4afe5a387676c6f46e5f61d17e69e4d9e8e0f2183be6b",
      "value": 2000000,
      "index": 5,
      "spendingProof": null,
      "outputBlockId": "6de324c9da0055883b9330e40fb2fe5733e908d6e10f6965e047bee2db04a3f3",
      "outputTransactionId": "70c698f5bece72986028a736a6309d10b409fcbad4386e091bbedc4273f73503",
      "outputIndex": 1,
      "outputGlobalIndex": 36337663,
      "outputCreatedAt": 1184145,
      "outputSettledAt": 1184147,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01202ef8f142d35e2f6c68df2928ef0ef1ec25d061266d9ff60acadd3286545fda73",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[2ef8f142d35e2f6c68df2928ef0ef1ec25d061266d9ff60acadd3286545fda73]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20df0298ea141ad5a78224224d0058f7565f3e45ec637ed19289141df65c7ebf90",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "df0298ea141ad5a78224224d0058f7565f3e45ec637ed19289141df65c7ebf90"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "d3713b3eace8be97c4221373a863b016665bc41510f86d11c4cc66131db3a3f1",
      "value": 2000000,
      "index": 6,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "0141b22187b478c677d749e45f2749af34597dee0982dafbe8e6dc23004ac823",
      "outputIndex": 1,
      "outputGlobalIndex": 36337685,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184149,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01204c944a2dd27a3f82a04bc909bd752a344a02628759b27d141c61a40b9aec255f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[4c944a2dd27a3f82a04bc909bd752a344a02628759b27d141c61a40b9aec255f]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20a24d04793316125fa73d2de9fd913b56c3aa710256d43c1cf64a6b47804a2d99",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a24d04793316125fa73d2de9fd913b56c3aa710256d43c1cf64a6b47804a2d99"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "bfdd72a47ccfc9fc63cf7670ed6b7760b3330b80798681e965cab4d17e9e42f2",
      "value": 2000000,
      "index": 7,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "19c1905862c27f063d0fac7323810309bb640d11cabcb2068d1febca35586b35",
      "outputIndex": 1,
      "outputGlobalIndex": 36337690,
      "outputCreatedAt": 1184145,
      "outputSettledAt": 1184149,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01203d7c041dad161cf165605605ef860d218cc21554ebe689c66c27e88b2dfdae69",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3d7c041dad161cf165605605ef860d218cc21554ebe689c66c27e88b2dfdae69]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20f77f7a5125c7085ac634f8697be38e00e7b3d1182b58e4bd96d49ac16196c5b6",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f77f7a5125c7085ac634f8697be38e00e7b3d1182b58e4bd96d49ac16196c5b6"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "8d53524a6f1de386ccca75cda65b5ac77e690659cfc2b04c86f40aab9de06bc5",
      "value": 2000000,
      "index": 8,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "1ca83add92b7ca8d32b627143e1adc92c8cfdeb162415d8845b964674285f87b",
      "outputIndex": 1,
      "outputGlobalIndex": 36337695,
      "outputCreatedAt": 1184145,
      "outputSettledAt": 1184149,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120caf00dc86174f81213e6637298691ea04f902fd406fb46868618807439a4eb10",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[caf00dc86174f81213e6637298691ea04f902fd406fb46868618807439a4eb10]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20126bbc7db232c387744ba646dcb18b8a4f6fc9d9512764b457552b5688d91c1d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "126bbc7db232c387744ba646dcb18b8a4f6fc9d9512764b457552b5688d91c1d"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "5d0f8be2853073f6046afca2cc85cd7d4e6d9c976bd143361ccb4c55d7ef7593",
      "value": 2000000,
      "index": 9,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "218084c2493043ca3f9107cbe70c2214cc372b1e812835d99929d130d83eb8e6",
      "outputIndex": 1,
      "outputGlobalIndex": 36337700,
      "outputCreatedAt": 1184145,
      "outputSettledAt": 1184149,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01200135590074a422dbf9628efa2f1ab6672685a2a3e674e5e3c933b00131f26d6b",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0135590074a422dbf9628efa2f1ab6672685a2a3e674e5e3c933b00131f26d6b]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20cfb8e67a37c388c55a037a678720a489de9c60ed02c352fed887cfd3415b00e6",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "cfb8e67a37c388c55a037a678720a489de9c60ed02c352fed887cfd3415b00e6"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "aaa58ce1edd03981b8dfa265680f63f832d42363a73687ebd1b76f1a54e39555",
      "value": 2000000,
      "index": 10,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "2790db4b02ad781a5e5aa4f679e8dddafffaaefb11743e8ff7f671845ae0e41c",
      "outputIndex": 1,
      "outputGlobalIndex": 36337705,
      "outputCreatedAt": 1184145,
      "outputSettledAt": 1184149,
      "ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01203e0684af04b9679340705c334a187985b14ebb650452a50943e1586eb0100c99",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3e0684af04b9679340705c334a187985b14ebb650452a50943e1586eb0100c99]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e204604e518c560a5786f5fa04ed7ebe3945494d7c587843b2801895a8ade07aeb3",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4604e518c560a5786f5fa04ed7ebe3945494d7c587843b2801895a8ade07aeb3"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "5b12e7f52e7ffbc752b7072391408a28f61e64f05a933ba32099b66455229042",
      "value": 2000000,
      "index": 11,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "2880e4c161d7962262f9ca4404261698f43b26681e6e553bd8c4f292896862b1",
      "outputIndex": 1,
      "outputGlobalIndex": 36337710,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184149,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120ff021c07365d20da446b3d5627c4dc1a0ab71d5229556302c21bda4eae1589d4",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[ff021c07365d20da446b3d5627c4dc1a0ab71d5229556302c21bda4eae1589d4]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e208bbb871dc47c389cbe986bf8f344951129f4823bac8e565600e6231ec562f2b8",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8bbb871dc47c389cbe986bf8f344951129f4823bac8e565600e6231ec562f2b8"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "87ca94933217ecc30dfc05d8e1fbcee972d3d26e4e9734956252a42fb1306e6e",
      "value": 2000000,
      "index": 12,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "3981bce9470e2843ccfed47e347b8e7c23607008ae28f637b22fde9cdbb4163e",
      "outputIndex": 1,
      "outputGlobalIndex": 36337715,
      "outputCreatedAt": 1184145,
      "outputSettledAt": 1184149,
      "ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012070a69b88b8b38f43564f48c38cb822b93978d79287cbb259e63dd9b6e430664c",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[70a69b88b8b38f43564f48c38cb822b93978d79287cbb259e63dd9b6e430664c]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20c00339880305d4f7ffce9c5499da6b992193ced0eb178683b833f0257ef412fd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c00339880305d4f7ffce9c5499da6b992193ced0eb178683b833f0257ef412fd"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "bfbf1030e8427840f33ce19b47abb0e0abda0da2e4b6e03a8e7f7ed68be88987",
      "value": 2000000,
      "index": 13,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "4f4694fc990da38e75401ab8b6bd0a4e844c1b9561e27b1e647b4a058ec5ac49",
      "outputIndex": 1,
      "outputGlobalIndex": 36337720,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184149,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120a3ffac5d0f4926d6ba854d4c4803800e430ebc16c7d45e157f23f0eb4432020d",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[a3ffac5d0f4926d6ba854d4c4803800e430ebc16c7d45e157f23f0eb4432020d]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e2003dc1c769fa6cb3c9b5d0abbc2356c09c7f250fae732d93d56e494ce93aab733",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "03dc1c769fa6cb3c9b5d0abbc2356c09c7f250fae732d93d56e494ce93aab733"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "799ac3e8a933e1592d6d87291fa954e504389f6720055a9b96ac3a4e81a9b52d",
      "value": 2000000,
      "index": 14,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "67471163deab36046c69051610aca9ae836bc53be7deac7704403c44c0ff7056",
      "outputIndex": 1,
      "outputGlobalIndex": 36337725,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184149,
      "ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01207e5a48cb173b84a87767465b63371df88f9340fca1527dce8ec67311f0c4c4c6",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[7e5a48cb173b84a87767465b63371df88f9340fca1527dce8ec67311f0c4c4c6]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20f43e677c27ec9942bd72a89ee2ba37e4f77843188da10dd007a8c896be10e9c2",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f43e677c27ec9942bd72a89ee2ba37e4f77843188da10dd007a8c896be10e9c2"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "0367191940a4f73732a055315a5663073401bd0bd4def6a9a3cfcb6f97e0645e",
      "value": 2000000,
      "index": 15,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "824a861905de258844fbf1e11a65f8b3da4f3c6b727d314c04d9efd78a4684f6",
      "outputIndex": 1,
      "outputGlobalIndex": 36337730,
      "outputCreatedAt": 1184145,
      "outputSettledAt": 1184149,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012041c93d61e079d71aba8f8f7da69dadf22dd8b2264321a4142fcb3285584ecc89",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[41c93d61e079d71aba8f8f7da69dadf22dd8b2264321a4142fcb3285584ecc89]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e207e56b71d6bc8e38a7e87129b1757f8f04d166233d0c63b57ead7b74eebd4f0a1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7e56b71d6bc8e38a7e87129b1757f8f04d166233d0c63b57ead7b74eebd4f0a1"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "426f570a1f387441ee8ed09012e56bacc2772d013695d0cd5903d96d8e5e940d",
      "value": 2000000,
      "index": 16,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "8533ed85ab75a8b3683fbdca9ea060ed36f20613714ce225b96ed2b09d718c09",
      "outputIndex": 1,
      "outputGlobalIndex": 36337735,
      "outputCreatedAt": 1184145,
      "outputSettledAt": 1184149,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012072ba06fdf0d6a194b59bafdc21621ecff102df9395d793485539c14e0df280ec",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[72ba06fdf0d6a194b59bafdc21621ecff102df9395d793485539c14e0df280ec]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e202ed75ed23c8b3fa34595cf648c39128001f5be2f712e9552485fc9472a35a4dd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2ed75ed23c8b3fa34595cf648c39128001f5be2f712e9552485fc9472a35a4dd"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "a739ff9f71383b119dcb8ae30dff3cdeba5611702f7e84ab00a7a74b40163e26",
      "value": 2000000,
      "index": 17,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "8674fd21fd668819c23dc0dd6acb67f09005a59bb8ff113e7dd1fb83299e972b",
      "outputIndex": 1,
      "outputGlobalIndex": 36337740,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184149,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01202a4ba526e6801bd7dc01a160728d5669d6e84791292df6a3779f02f30acb0c3e",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[2a4ba526e6801bd7dc01a160728d5669d6e84791292df6a3779f02f30acb0c3e]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e206abfb0378aac696c098a7190bea37cfb1d7c29e6eb4a9fd8a0a7ba2c1592459a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6abfb0378aac696c098a7190bea37cfb1d7c29e6eb4a9fd8a0a7ba2c1592459a"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "f3c63e25c27f43618b6da41cbe1ccf6bdde58f2154bae07cb51fbf6e180612f8",
      "value": 2000000,
      "index": 18,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "906a47917938133c3c65c96f8aa8ae2a0ddd75f0ee6b48d4d0ac4e5d99a55027",
      "outputIndex": 1,
      "outputGlobalIndex": 36337745,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184149,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012096e3145ad78dd80e844ca500ea646f9dd685bdeb41164a627cf1b529e30563b4",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[96e3145ad78dd80e844ca500ea646f9dd685bdeb41164a627cf1b529e30563b4]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e2016c43916d7f24d435958271893516fe1ea45e09cb125bd8db0b9c230cf79b977",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "16c43916d7f24d435958271893516fe1ea45e09cb125bd8db0b9c230cf79b977"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "8962f9352b0521cc0aa1e46a701cf7b9b6950202c2eb7d68e96398935672c86f",
      "value": 2000000,
      "index": 19,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "9b40f0a849b7a57baefe7eea8965b14834291f76c2073f66e6763b741a465cba",
      "outputIndex": 1,
      "outputGlobalIndex": 36337750,
      "outputCreatedAt": 1184145,
      "outputSettledAt": 1184149,
      "ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "42fowRYzqyUjTGRDFYQpTKXdCx7MkLAmGYyLtdrgpUXDnM1aiQsyU8UDi22ctTYeJzp4DWYZ32r6w4edUkLzpsrUzGTqrfUBzXfCX8teEuR73o12nY6cTEQHXc1pRBU5BQFhenjUz6LSERa6iDyE9ZC7TeuqswVRRbUHFrGtAQmE8NPnYxZbYcerpo2zsW1hNyLwrih6whj8kJBjBVNf2Vtu3oB6Qv46u8t7SGwDPv5YU2MtCTAj5vwxZEM4GNoM9vcxzh8H7KzWqJUh8jA2G1mrnbUhCVTW4EyWgcZhRopJKWHiwng8jDpgMfeDD89zLsqNWLqEPFz17LoMmeichU4YxWprzQm5dP8yQQpbdNVJWNuD2FryqcLTyjDphihnUcDfxK5Q5UzBTpbPRi7DQrmJmFjnujJCJKYrX2JSvqeggtSS4QLMpu7fUGs4zVX5znZSaLBgDppSxfvLYXh4Jkye47gsXgm1QBxh1Hhu8G4d8bXvFha3tsPkfJKxdTjBvPnG8u2ZGRrNLD7csHUgnFMvjcyiZ2VmCwNWTVCSgaVLeyrqE6XsroJqxvpzbDVCX37hS1VniNK6sBo7DjxVJrL6SY8cMChLfJuVRC13vbSsyot9Z7DsKBAuGuomAPy1iED5GDz8UoGqs4scNLSdvp77qu1udgv8hF3bi51qihTx6tJAWmZ6Wuc5zxxGBW5V5bTJPMhEXGrH3swgvLJEYzzFJxV7oZk6JfbXi9C2pdTQnoPAN1WSGv83nov5YR5Hr5CfN8i2mC6RWXPjYUrcftpGk1HK928ogXAf5Yfyp5yAtxsUTzaBoeGbazPRw3oAHqvc1CQV78PQ41UZBUR49KKPU6YKrFxpGtTBVHX7hQJdnKdKiYbKZPXPrr58BvXubPiXE8yJRQGcaxxygs25nSdW3C9HsAqC9c7tiCtZrTGhkcjAMsKqnSZmEH8WAUH9d9rDgfhszX6yTerEmCQoerWwLZUXnGpi4nsiAked23qSfqiSg3PsrzbJZD6DMZEh673npySFfk5BgNwpkwd",
      "assets": [
        {
          "tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120e62278be48013dcd5ba3b6011bcc25dcc8fc4dd8314a2086c71d7ee1c9f3af4e",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[e62278be48013dcd5ba3b6011bcc25dcc8fc4dd8314a2086c71d7ee1c9f3af4e]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20073f695a9a1f59c89b9739ac9b74f5ee2584f945cdc5f0b37987004aba9bc720",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "073f695a9a1f59c89b9739ac9b74f5ee2584f945cdc5f0b37987004aba9bc720"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "07e46a3e0d8de9fa5913451298f365c3d79075835fd207a2c3ce37e9ef6b0622",
      "value": 2000000,
      "index": 20,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "a555c5c95de96cc45ca579420bc18fca2db754efcc6764c94a6ca0c5094cea94",
      "outputIndex": 1,
      "outputGlobalIndex": 36337755,
      "outputCreatedAt": 1184145,
      "outputSettledAt": 1184149,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012045aa534fdadb0f75022da43e0afcec1fc004f8a99b592216250cc7e6785f3877",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[45aa534fdadb0f75022da43e0afcec1fc004f8a99b592216250cc7e6785f3877]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20bf43bc1c409449c014b5844cebcc93773aa8b1fa2cd3a9b4c226802572183543",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bf43bc1c409449c014b5844cebcc93773aa8b1fa2cd3a9b4c226802572183543"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "0e79f5805344fac9c59f7ae9ff68794b6d045b97460d295265a5ee55b5b6c7d6",
      "value": 2000000,
      "index": 21,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "b94438bf3d03e973d4d6e425b738a80d6a571c01a650f2a096ad27e7e84b6276",
      "outputIndex": 1,
      "outputGlobalIndex": 36337760,
      "outputCreatedAt": 1184144,
      "outputSettledAt": 1184149,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120ba23cf985feab652dfb450bf8129ba03e258c013e68bf3b3d73e4d4f7e637ba5",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[ba23cf985feab652dfb450bf8129ba03e258c013e68bf3b3d73e4d4f7e637ba5]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20571289af26c8b9885960b75c51f22e55742ea665a2fb003348cc2d4a2b983df6",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "571289af26c8b9885960b75c51f22e55742ea665a2fb003348cc2d4a2b983df6"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "cb9765b9a792b4e9f4b749c8ce086c579bd5c99cf2c1ef7d10c4d1c6d523def3",
      "value": 2000000,
      "index": 22,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "bf37823ad0d527e1422ad84377eaebac0f99859e0bbe35d0453e7b5e4bbc25b1",
      "outputIndex": 1,
      "outputGlobalIndex": 36337765,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184149,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120d0545cd55775748fce18119255b52f4d609fc2080de910bf9e67ccd199feb44e",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[d0545cd55775748fce18119255b52f4d609fc2080de910bf9e67ccd199feb44e]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e202d6eb474c78d9c4d8e319288ef9b3f52603b110f9dbd25b773fcdcd85ff375a0",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2d6eb474c78d9c4d8e319288ef9b3f52603b110f9dbd25b773fcdcd85ff375a0"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "b5785e5fc206874802b17eeeddbdd62db26078eb98652927f2193600272981e5",
      "value": 2000000,
      "index": 23,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "dd6f1ab596a6e75184569896c5e8f834745ea55ff734239f38421117ee1135fc",
      "outputIndex": 1,
      "outputGlobalIndex": 36337770,
      "outputCreatedAt": 1184144,
      "outputSettledAt": 1184149,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012070c8d865a9b97004bd98e4aadf6f8490622e1e50f53e784bcad91b9b6eb7fc83",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[70c8d865a9b97004bd98e4aadf6f8490622e1e50f53e784bcad91b9b6eb7fc83]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20e2a29b67be7128de820f58eaa88b8aaba8465567ac24bd123235b10b0a776924",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e2a29b67be7128de820f58eaa88b8aaba8465567ac24bd123235b10b0a776924"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "c3acbaca38bf497871cb45bc329f93ff7b1cdfe2e568fb108bcebc700429bfd8",
      "value": 2000000,
      "index": 24,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "e563af71de0e84db010ed1b1b8935f114bb0a3af484e7efa44ba1fbe30ade868",
      "outputIndex": 1,
      "outputGlobalIndex": 36337775,
      "outputCreatedAt": 1184145,
      "outputSettledAt": 1184149,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "42fowRYzqyUjTGRDFYQpTKXdCx7MkLAmGYyLtdrgpUXDnM1aiQsyU8UDi22ctTYeJzp4DWYZ32r6w4edUkLzpsrUzGTqrfUBzXfCX8teEuR73o12nY6cTEQHXc1pRBU5BQFhenjUz6LSERa6iDyE9ZC7TeuqswVRRbUHFrGtAQmE8NPnYxZbYcerpo2zsW1hNyLwrih6whj8kJBjBVNf2Vtu3oB6Qv46u8t7SGwDPv5YU2MtCTAj5vwxZEM4GNoM9vcxzh8H7KzWqJUh8jA2G1mrnbUhCVTW4EyWgcZhRopJKWHiwng8jDpgMfeDD89zLsqNWLqEPFz17LoMmeichU4YxWprzQm5dP8yQQpbdNVJWNuD2FryqcLTyjDphihnUcDfxK5Q5UzBTpbPRi7DQrmJmFjnujJCJKYrX2JSvqeggtSS4QLMpu7fUGs4zVX5znZSaLBgDppSxfvLYXh4Jkye47gsXgm1QBxh1Hhu8G4d8bXvFha3tsPkfJKxdTjBvPnG8u2ZGRrNLD7csHUgnFMvjcyiZ2VmCwNWTVCSgaVLeyrqE6XsroJqxvpzbDVCX37hS1VniNK6sBo7DjxVJrL6SY8cMChLfJuVRC13vbSsyot9Z7DsKBAuGuomAPy1iED5GDz8UoGqs4scNLSdvp77qu1udgv8hF3bi51qihTx6tJAWmZ6Wuc5zxxGBW5V5bTJPMhEXGrH3swgvLJEYzzFJxV7oZk6JfbXi9C2pdTQnoPAN1WSGv83nov5YR5Hr5CfN8i2mC6RWXPjYUrcftpGk1HK928ogXAf5Yfyp5yAtxsUTzaBoeGbazPRw3oAHqvc1CQV78PQ41UZBUR49KKPU6YKrFxpGtTBVHX7hQJdnKdKiYbKZPXPrr58BvXubPiXE8yJRQGcaxxygs25nSdW3C9HsAqC9c7tiCtZrTGhkcjAMsKqnSZmEH8WAUH9d9rDgfhszX6yTerEmCQoerWwLZUXnGpi4nsiAked23qSfqiSg3PsrzbJZD6DMZEh673npySFfk5BgNwpkwd",
      "assets": [
        {
          "tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120986cd585a7c08ae121b55a391f77e194182125de1834cefba073fa0c45e0d9a0",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[986cd585a7c08ae121b55a391f77e194182125de1834cefba073fa0c45e0d9a0]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e2018e15aa9ad096397629cc97166b7c79eb064afda3be42dfc0bf7937dcf412bca",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "18e15aa9ad096397629cc97166b7c79eb064afda3be42dfc0bf7937dcf412bca"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "fccbadbfc01ba9483c0d34ce7c85a8cb0397f7eaf28e8ffaf5dbd43209b5907c",
      "value": 2000000,
      "index": 25,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "ec9cc36c04f9b16b918c4ccbb51e26dabaaa587b0b88f3dae168729286b526b7",
      "outputIndex": 1,
      "outputGlobalIndex": 36337780,
      "outputCreatedAt": 1184145,
      "outputSettledAt": 1184149,
      "ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01209a5eb4d9917c70b0e3291114924170bee95e7347cd332171c1b52d5209ed294a",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9a5eb4d9917c70b0e3291114924170bee95e7347cd332171c1b52d5209ed294a]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e208532329615e7edd903d4d68dd01b5dc38ead37cbcefe429864a6ffff12169600",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8532329615e7edd903d4d68dd01b5dc38ead37cbcefe429864a6ffff12169600"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "3ae7b42ecdecd80f4ea5e95cebd10361665795474c071d25e8c017309072b5cb",
      "value": 2000000,
      "index": 26,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "f256ae686a4c15794ea49b536fb5fa2a7d0efce87792dd710e905f3aeb333777",
      "outputIndex": 1,
      "outputGlobalIndex": 36337785,
      "outputCreatedAt": 1184145,
      "outputSettledAt": 1184149,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01200d62ae4ad5b5907dc643647e894fe970ff3d531c5789cb90c6231205146ac2ce",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0d62ae4ad5b5907dc643647e894fe970ff3d531c5789cb90c6231205146ac2ce]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e200dfc874688f9dae3ace0c633fdb745ec8193428e3978081920dfca7ab7d0ada1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0dfc874688f9dae3ace0c633fdb745ec8193428e3978081920dfca7ab7d0ada1"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "987f90dedfde292c0d7cd10da5ab19783e6d16d59e9079057161b7a646f07e81",
      "value": 2000000,
      "index": 27,
      "spendingProof": null,
      "outputBlockId": "0e9a83eeaa24b761865af128765530a29aaffe78439643e8a51b48eb607472d9",
      "outputTransactionId": "fb917c9c5cc7e91af1bb56aa5c4865e2ac1973ef73b60383c901831d3ee5a831",
      "outputIndex": 1,
      "outputGlobalIndex": 36337790,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184149,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120d8b0aaf1767a0067d827942d780fd05f4d81755f5655dc1cbce1c288a56d5f0c",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[d8b0aaf1767a0067d827942d780fd05f4d81755f5655dc1cbce1c288a56d5f0c]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20cc9c8e57607d02571d011aab4715c31c05ccd2a10b33a14e8f99a1a2ad866268",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "cc9c8e57607d02571d011aab4715c31c05ccd2a10b33a14e8f99a1a2ad866268"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "f0654bffdc7805efb2ce322d4fabeb078a71b488cd64973a45965b462c139d10",
      "value": 2000000,
      "index": 28,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "00bc3f7b648504ea9af85b20bda7d33140d7e65cf2189d9a7255274d0f58c0b5",
      "outputIndex": 1,
      "outputGlobalIndex": 36337824,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184150,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120ba356bc87335cbae34c86846c5fc5e9b18c886e8b881e01d5415b8a010236572",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[ba356bc87335cbae34c86846c5fc5e9b18c886e8b881e01d5415b8a010236572]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20b3fb03617e8176ebc06cdd49ca9fdc801876ffa754cbed4e7fadca0702c0270e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b3fb03617e8176ebc06cdd49ca9fdc801876ffa754cbed4e7fadca0702c0270e"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "d1d17ba6a202aef803c1481929ac791dcf02c7386a9fa3284731dfbc9772a716",
      "value": 2000000,
      "index": 29,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "133bcf20a2e4fc406d79d3b682874db596f5d4e2c411a6d780524f0cf816c5a3",
      "outputIndex": 1,
      "outputGlobalIndex": 36337829,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184150,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120564fe041e7aad075c21b3ede9ce8ad32f0911e38c81f7f33cf7b2979ff702538",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[564fe041e7aad075c21b3ede9ce8ad32f0911e38c81f7f33cf7b2979ff702538]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20a6452a0f1de273eff08e7eb9ce8427a73fd0c5381db2358281643b7d413d8ae7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a6452a0f1de273eff08e7eb9ce8427a73fd0c5381db2358281643b7d413d8ae7"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "429bd26902a609fd253387da8dcdc47c2920cbf9e5a44c21efbd3d58e35a292b",
      "value": 2000000,
      "index": 30,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "158002df4008fc06d6c78698167d08c94f7810ed92efa3f1493c872b2f4f013e",
      "outputIndex": 1,
      "outputGlobalIndex": 36337834,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184150,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120d8004cd35d18fad14d5b04d66e4ef51a7ee673c2981b005c3fc8b3c526b3a2ef",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[d8004cd35d18fad14d5b04d66e4ef51a7ee673c2981b005c3fc8b3c526b3a2ef]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20cc9e581c8f408615f340c2282bee152913663d6cc672135177976d1d59ac7cb9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "cc9e581c8f408615f340c2282bee152913663d6cc672135177976d1d59ac7cb9"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "2ea74096ebd43bcccde1db73c6bfb1065ca4b8c0d1ef21accaf2f82197b68180",
      "value": 2000000,
      "index": 31,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "2ee60de218206e44a401dea3382955bb8dd1d65033ea84fb9ca9d75d6abf2449",
      "outputIndex": 1,
      "outputGlobalIndex": 36337839,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184150,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "42fowRYzqyUjTGRDFYQpTKXdCx7MkLAmGYyLtdrgpUXDnM1aiQsyU8UDi22ctTYeJzp4DWYZ32r6w4edUkLzpsrUzGTqrfUBzXfCX8teEuR73o12nY6cTEQHXc1pRBU5BQFhenjUz6LSERa6iDyE9ZC7TeuqswVRRbUHFrGtAQmE8NPnYxZbYcerpo2zsW1hNyLwrih6whj8kJBjBVNf2Vtu3oB6Qv46u8t7SGwDPv5YU2MtCTAj5vwxZEM4GNoM9vcxzh8H7KzWqJUh8jA2G1mrnbUhCVTW4EyWgcZhRopJKWHiwng8jDpgMfeDD89zLsqNWLqEPFz17LoMmeichU4YxWprzQm5dP8yQQpbdNVJWNuD2FryqcLTyjDphihnUcDfxK5Q5UzBTpbPRi7DQrmJmFjnujJCJKYrX2JSvqeggtSS4QLMpu7fUGs4zVX5znZSaLBgDppSxfvLYXh4Jkye47gsXgm1QBxh1Hhu8G4d8bXvFha3tsPkfJKxdTjBvPnG8u2ZGRrNLD7csHUgnFMvjcyiZ2VmCwNWTVCSgaVLeyrqE6XsroJqxvpzbDVCX37hS1VniNK6sBo7DjxVJrL6SY8cMChLfJuVRC13vbSsyot9Z7DsKBAuGuomAPy1iED5GDz8UoGqs4scNLSdvp77qu1udgv8hF3bi51qihTx6tJAWmZ6Wuc5zxxGBW5V5bTJPMhEXGrH3swgvLJEYzzFJxV7oZk6JfbXi9C2pdTQnoPAN1WSGv83nov5YR5Hr5CfN8i2mC6RWXPjYUrcftpGk1HK928ogXAf5Yfyp5yAtxsUTzaBoeGbazPRw3oAHqvc1CQV78PQ41UZBUR49KKPU6YKrFxpGtTBVHX7hQJdnKdKiYbKZPXPrr58BvXubPiXE8yJRQGcaxxygs25nSdW3C9HsAqC9c7tiCtZrTGhkcjAMsKqnSZmEH8WAUH9d9rDgfhszX6yTerEmCQoerWwLZUXnGpi4nsiAked23qSfqiSg3PsrzbJZD6DMZEh673npySFfk5BgNwpkwd",
      "assets": [
        {
          "tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120520b18499f65321d90d138b11934347e7a2507462f1c24092e60f7a4628da353",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[520b18499f65321d90d138b11934347e7a2507462f1c24092e60f7a4628da353]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20ce93e12f9334bb36e56746f8303ec2a466df76ac9a12db6476c6c8d2f182c36f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ce93e12f9334bb36e56746f8303ec2a466df76ac9a12db6476c6c8d2f182c36f"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "1c1aaadb5d2bde5c790dbd87aa7f759f94f986a814a285693e7eeb80ccc4b59f",
      "value": 2000000,
      "index": 32,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "36c256478f6b9083e076013836a4fe0dde3bb49584d55d97964efcaf8dbfc9e7",
      "outputIndex": 1,
      "outputGlobalIndex": 36337844,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184150,
      "ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120ff6c818c49679c23bb142db0f27ba65efe35177d2141e16625ad0afcfc3d8c8c",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[ff6c818c49679c23bb142db0f27ba65efe35177d2141e16625ad0afcfc3d8c8c]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e200a165e550da1af43f3ce8387a3a1a6429d6b7e35577711167784eb2e506fb573",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0a165e550da1af43f3ce8387a3a1a6429d6b7e35577711167784eb2e506fb573"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "5b4c077c5879d3c656d6873293c7f9904ad49878ff9378bc6cafdf70773c2ce6",
      "value": 2000000,
      "index": 33,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "43be78e31be5398f00a5e52c13225d68d46dc505100d19a461c6f94617ee9d4e",
      "outputIndex": 1,
      "outputGlobalIndex": 36337849,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184150,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120a03285a3c28d07512bedcd472743f32a28cac9da8e82953b612049be437c19bf",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[a03285a3c28d07512bedcd472743f32a28cac9da8e82953b612049be437c19bf]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e2087b7fcc2050a4cd647d2d1e6afd2d778411ddb300273407dbd22251bccea96f4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "87b7fcc2050a4cd647d2d1e6afd2d778411ddb300273407dbd22251bccea96f4"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "7ceb1dde1a45ed89e295f9b4ccdef59c71f1e480dc1582af92c47ed668e18aef",
      "value": 1100000,
      "index": 34,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "4f591721b453190b5c5ec5edbbe7a9e52eb73846696de3272488ad41dac31c26",
      "outputIndex": 1,
      "outputGlobalIndex": 36337854,
      "outputCreatedAt": 1184145,
      "outputSettledAt": 1184150,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120839bee3dd0e9d91fcc9c7eda0d0116bf36e0dabbde5c25911bdd434e4a4d1629",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[839bee3dd0e9d91fcc9c7eda0d0116bf36e0dabbde5c25911bdd434e4a4d1629]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20ebf1e428d9d4ace0beb2b6730a3b90c96b7890b10d25d3c73e0667deca4a4e96",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ebf1e428d9d4ace0beb2b6730a3b90c96b7890b10d25d3c73e0667deca4a4e96"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "79a19c42d14413c713ea4a021ffb8d5aa8eb1dd02401e40837a84c0599e297a2",
      "value": 2000000,
      "index": 35,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "5cfea4039609cb6529b6f8b78032e773c8279be774d75c21d7ec52383dde90de",
      "outputIndex": 1,
      "outputGlobalIndex": 36337859,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184150,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120dda8460bda8b69dbb04c377e77eb3cb132cd595331fa47d3a2244688c5d49fb5",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[dda8460bda8b69dbb04c377e77eb3cb132cd595331fa47d3a2244688c5d49fb5]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20a63eb75e80cbf46f1ae95fce5fece9cda8cc2d9beb7753403d9f27d4b21b51f0",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a63eb75e80cbf46f1ae95fce5fece9cda8cc2d9beb7753403d9f27d4b21b51f0"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "454ecb58e5a863f4c780485ce9668152ec86d96a6066970ab5d4447ed9358862",
      "value": 2000000,
      "index": 36,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "81c695338e43e9e653797ae292c8793e0b81b7a5cd9fcb3d37cb8f111ecbc5f3",
      "outputIndex": 1,
      "outputGlobalIndex": 36337864,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184150,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012061c371314057cd6009ec43e6770dec8341ff567b211c51f965f4c23183758931",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[61c371314057cd6009ec43e6770dec8341ff567b211c51f965f4c23183758931]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20cf9c6df0981a63f9a92e95d457b3e0b07f2c3271f39c1dfd21dfe16b8e713a16",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "cf9c6df0981a63f9a92e95d457b3e0b07f2c3271f39c1dfd21dfe16b8e713a16"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "32e8ec4e948369ca4fc2e73832c017f9e66ba50df6489796e621ec4e1fc416b5",
      "value": 2000000,
      "index": 37,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "8370e3faeaacd6d4538fb2f886364425480326e294c6b000b1f70bfab5ce05eb",
      "outputIndex": 1,
      "outputGlobalIndex": 36337869,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184150,
      "ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01208100ae737cae0f362f8c9f7f7fc817a79d1c9f410275d9b8ed95a629f50cec48",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[8100ae737cae0f362f8c9f7f7fc817a79d1c9f410275d9b8ed95a629f50cec48]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e204c65e2ef042502d5ce8ef3b48832e9f50ec343308973595a411007f368d1ca5e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4c65e2ef042502d5ce8ef3b48832e9f50ec343308973595a411007f368d1ca5e"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "157b3399ccde7cd1bfec0f0c3f3b3c9a65c0499b75acb575c7275c5c607611f0",
      "value": 2000000,
      "index": 38,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "a6d0ec073551ef45f8f82da02aaf12abc43ef9e812a89b166980960fd40a56ea",
      "outputIndex": 1,
      "outputGlobalIndex": 36337874,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184150,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120b306f78444d3bd000d276d6a7d563e716addf83d2f85abf2a9001d045d1cb83f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b306f78444d3bd000d276d6a7d563e716addf83d2f85abf2a9001d045d1cb83f]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20c33c7a94e6508c911ccff64bdbd656f40916cc4c5478dcb51a1e3dc0e1a45c69",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c33c7a94e6508c911ccff64bdbd656f40916cc4c5478dcb51a1e3dc0e1a45c69"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "72b7abeb2c3b8812673178e07a8a6092a73f92802364d47ef080128514a2cac3",
      "value": 2000000,
      "index": 39,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "ac4a32be2025517f94f0a4f74e0aa3dafc97867de70de1fd27e00fc2a8f84b69",
      "outputIndex": 1,
      "outputGlobalIndex": 36337879,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184150,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120ccdcd52d6687dad3316a9a503e8b4d3c9f66444453bf788158b6fd9120f5eb89",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[ccdcd52d6687dad3316a9a503e8b4d3c9f66444453bf788158b6fd9120f5eb89]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20ed81e994248ef4c1e2854461c29dbe606b98ca317f3fdcaeb502764cd4be3ec5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ed81e994248ef4c1e2854461c29dbe606b98ca317f3fdcaeb502764cd4be3ec5"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "26efaf23de38b93ee6a9ea06243def289470cd47ce401368aa57afe50e7d6557",
      "value": 2000000,
      "index": 40,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "ba4ab6739261ecd4ef166a3103b5d9f771ec5597199c667ba64faa45fc93aa31",
      "outputIndex": 1,
      "outputGlobalIndex": 36337884,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184150,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120c7e71f6310e9577f00ebda122d5020dc93ad7916387c8f4d98f353b50ec948d2",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[c7e71f6310e9577f00ebda122d5020dc93ad7916387c8f4d98f353b50ec948d2]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20b9ff643ed7906eb68d4f9aa98f84f848b19b8947cf8afe2b370023f6d824fedc",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b9ff643ed7906eb68d4f9aa98f84f848b19b8947cf8afe2b370023f6d824fedc"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "41a39f0e7b9a5ef1940e9608f011f4ffb886ae8a8e718444289084b8a1bf3051",
      "value": 2000000,
      "index": 41,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "badcbeccb49edb26cbd1c21c6f4be03512c4787dcf3bacbfd3c2b72b7ebf822f",
      "outputIndex": 1,
      "outputGlobalIndex": 36337889,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184150,
      "ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01202f5563ef0a39bf6ccbcc1a3de82e932b535ba4d56ceb8324bcddb3d87be02298",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[2f5563ef0a39bf6ccbcc1a3de82e932b535ba4d56ceb8324bcddb3d87be02298]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e2041881128841ac8136f1bfaa52ce54b9a4ce951584fb0f3d5732e907618189be4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "41881128841ac8136f1bfaa52ce54b9a4ce951584fb0f3d5732e907618189be4"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "a56de7ba94cd0ab745ebacc8fc665164130b92889d37bf875689d47295b33f37",
      "value": 2000000,
      "index": 42,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "beda91238de3e953da5a11070bb2ac5c5cfe41bb77eac2d6d38a5ae83029a126",
      "outputIndex": 1,
      "outputGlobalIndex": 36337894,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184150,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01206e6e0f51daa704f1bde8b5a5544b2a134b6f2df2e8fe20125c2e0a36ff70c661",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[6e6e0f51daa704f1bde8b5a5544b2a134b6f2df2e8fe20125c2e0a36ff70c661]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20dd809ac73ecba35a9c561a54d68b0dcdfd0877b262db341888d188fde8da5a23",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "dd809ac73ecba35a9c561a54d68b0dcdfd0877b262db341888d188fde8da5a23"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "672b9b01bfd201b6d1f5bd3f18ddb0a0dcf4cf5e67a30868f1c84169820467fe",
      "value": 2000000,
      "index": 43,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "dc5b971e35bb98a8dad303d11589100e5dedb9bcff3b43a30cb9fe7fd5daf3d6",
      "outputIndex": 1,
      "outputGlobalIndex": 36337899,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184150,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012099b030e625f3a5da015d86ee1ec1fd36955a30732a157180b7ca054449d343ac",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[99b030e625f3a5da015d86ee1ec1fd36955a30732a157180b7ca054449d343ac]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20775629761082dc6d4501b82349e33d1e95c3a98b8973f3f39c25576b369de024",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "775629761082dc6d4501b82349e33d1e95c3a98b8973f3f39c25576b369de024"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
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      "value": 2000000,
      "index": 44,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "e8b12286d403b6725a5d06733fde9bc0744744878a13088f4b89b7272398744a",
      "outputIndex": 1,
      "outputGlobalIndex": 36337904,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184150,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012051937222b1334c50c0f7fc33a21ea02f8e513d38f9bfbe71e731565369fce1ca",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[51937222b1334c50c0f7fc33a21ea02f8e513d38f9bfbe71e731565369fce1ca]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e206b389db85d29ca9b42c954773a04136d9a075b462d9b6f02f9f6b8532469703b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6b389db85d29ca9b42c954773a04136d9a075b462d9b6f02f9f6b8532469703b"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "69aa8bb5437d648a02971c1d6b91b182d86c0f05eb997d0670d5476f9a32a1a2",
      "value": 2000000,
      "index": 45,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "fb146011c4e169017d1efeecc82a54a3b6dd971f9b402af48a02576f18f3a04a",
      "outputIndex": 1,
      "outputGlobalIndex": 36337909,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184150,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012023e26f9b26aac85c91c516c91c0a9094cbb2faf015c0134887be717d90cd8684",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[23e26f9b26aac85c91c516c91c0a9094cbb2faf015c0134887be717d90cd8684]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e208279f089f1d3c190bfcc9ad61841d13f5a001f4cbc55a1b948e0129f745267e5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8279f089f1d3c190bfcc9ad61841d13f5a001f4cbc55a1b948e0129f745267e5"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "bbd4438c979d1f06c766766ca0de63f08e54c185eac4692d467aa47d3da3c5fa",
      "value": 2000000,
      "index": 46,
      "spendingProof": null,
      "outputBlockId": "69991df7f504693f772ce20f59143534cd61cba0d341c249aef8f7b617de961a",
      "outputTransactionId": "e6afd797c1a78c59226b040af2bbc945e2db9810fb584f0408a5718a6f82ae0b",
      "outputIndex": 1,
      "outputGlobalIndex": 36337914,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184150,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "42fowRYzqyUjTGRDFYQpTKXdCx7MkLAmGYyLtdrgpUXDnM1aiQsyU8UDi22ctTYeJzp4DWYZ32r6w4edUkLzpsrUzGTqrfUBzXfCX8teEuR73o12nY6cTEQHXc1pRBU5BQFhenjUz6LSERa6iDyE9ZC7TeuqswVRRbUHFrGtAQmE8NPnYxZbYcerpo2zsW1hNyLwrih6whj8kJBjBVNf2Vtu3oB6Qv46u8t7SGwDPv5YU2MtCTAj5vwxZEM4GNoM9vcxzh8H7KzWqJUh8jA2G1mrnbUhCVTW4EyWgcZhRopJKWHiwng8jDpgMfeDD89zLsqNWLqEPFz17LoMmeichU4YxWprzQm5dP8yQQpbdNVJWNuD2FryqcLTyjDphihnUcDfxK5Q5UzBTpbPRi7DQrmJmFjnujJCJKYrX2JSvqeggtSS4QLMpu7fUGs4zVX5znZSaLBgDppSxfvLYXh4Jkye47gsXgm1QBxh1Hhu8G4d8bXvFha3tsPkfJKxdTjBvPnG8u2ZGRrNLD7csHUgnFMvjcyiZ2VmCwNWTVCSgaVLeyrqE6XsroJqxvpzbDVCX37hS1VniNK6sBo7DjxVJrL6SY8cMChLfJuVRC13vbSsyot9Z7DsKBAuGuomAPy1iED5GDz8UoGqs4scNLSdvp77qu1udgv8hF3bi51qihTx6tJAWmZ6Wuc5zxxGBW5V5bTJPMhEXGrH3swgvLJEYzzFJxV7oZk6JfbXi9C2pdTQnoPAN1WSGv83nov5YR5Hr5CfN8i2mC6RWXPjYUrcftpGk1HK928ogXAf5Yfyp5yAtxsUTzaBoeGbazPRw3oAHqvc1CQV78PQ41UZBUR49KKPU6YKrFxpGtTBVHX7hQJdnKdKiYbKZPXPrr58BvXubPiXE8yJRQGcaxxygs25nSdW3C9HsAqC9c7tiCtZrTGhkcjAMsKqnSZmEH8WAUH9d9rDgfhszX6yTerEmCQoerWwLZUXnGpi4nsiAked23qSfqiSg3PsrzbJZD6DMZEh673npySFfk5BgNwpkwd",
      "assets": [
        {
          "tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012020c66d342118e0267454a4b01fffa875d21aaef5856735358130b71c492d673f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[20c66d342118e0267454a4b01fffa875d21aaef5856735358130b71c492d673f]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e203e5f0fd3c19c05c9adc6122f7f5f7c62d57f7a02738f20193a1e88883662ef40",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "3e5f0fd3c19c05c9adc6122f7f5f7c62d57f7a02738f20193a1e88883662ef40"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "df58dc15a2c555f8f6fe7cc70e93b0a79618a7af0e5ca003f50c771825b26ffb",
      "value": 2000000,
      "index": 47,
      "spendingProof": null,
      "outputBlockId": "962afb2cbe07e7bd8f4e06847ba14cb708cae1151bd7a1aa1cec504f4ef232c2",
      "outputTransactionId": "6652df0b910124e7a1e440f35e93df12115718c5d6788e8b1fa66f77d86755a6",
      "outputIndex": 1,
      "outputGlobalIndex": 36337922,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184151,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120aee832130322dc3cf9e2e640c501463ff6586d8e6b2c435cc0754294a74a60b5",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[aee832130322dc3cf9e2e640c501463ff6586d8e6b2c435cc0754294a74a60b5]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20b4ca4127f256fb55e3f9bf94086825834740ffe7caef9f863c0e8ccf68b8f236",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b4ca4127f256fb55e3f9bf94086825834740ffe7caef9f863c0e8ccf68b8f236"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "31ade5b252832e62f955e7ccb854eb1312ca4556807fc38f75c806740c1bed70",
      "value": 2000000,
      "index": 48,
      "spendingProof": null,
      "outputBlockId": "c81ba9db7163bd9443535de36159cb88311f9614452e24ebd4f93c054108903d",
      "outputTransactionId": "8631403a0ea42693b30ba1aad5bf7241a16048f9a84797063b46b237ad79ef81",
      "outputIndex": 1,
      "outputGlobalIndex": 36337933,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184152,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120da1ff77fd16dc9b875a3d84da2c88d0fdbd10d643d5e1502f5429d53ad67c522",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[da1ff77fd16dc9b875a3d84da2c88d0fdbd10d643d5e1502f5429d53ad67c522]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20744ece8171ab8f0fe1d3d735b5549798ad4dd8762c61a4f557ef28b483dba7c0",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "744ece8171ab8f0fe1d3d735b5549798ad4dd8762c61a4f557ef28b483dba7c0"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "2d9f8a88c94d55f62758c8f151086051f0aae068d17bc8b9ff626a84746a4c87",
      "value": 2000000,
      "index": 49,
      "spendingProof": null,
      "outputBlockId": "c81ba9db7163bd9443535de36159cb88311f9614452e24ebd4f93c054108903d",
      "outputTransactionId": "9c4f4ccf0d554fdfb32ce27252e486a63955af2594a2d6940c4194364531c9f4",
      "outputIndex": 1,
      "outputGlobalIndex": 36337938,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184152,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "42fowRYzqyUjTGRDFYQpTKXdCx7MkLAmGYyLtdrgpUXDnM1aiQsyU8UDi22ctTYeJzp4DWYZ32r6w4edUkLzpsrUzGTqrfUBzXfCX8teEuR73o12nY6cTEQHXc1pRBU5BQFhenjUz6LSERa6iDyE9ZC7TeuqswVRRbUHFrGtAQmE8NPnYxZbYcerpo2zsW1hNyLwrih6whj8kJBjBVNf2Vtu3oB6Qv46u8t7SGwDPv5YU2MtCTAj5vwxZEM4GNoM9vcxzh8H7KzWqJUh8jA2G1mrnbUhCVTW4EyWgcZhRopJKWHiwng8jDpgMfeDD89zLsqNWLqEPFz17LoMmeichU4YxWprzQm5dP8yQQpbdNVJWNuD2FryqcLTyjDphihnUcDfxK5Q5UzBTpbPRi7DQrmJmFjnujJCJKYrX2JSvqeggtSS4QLMpu7fUGs4zVX5znZSaLBgDppSxfvLYXh4Jkye47gsXgm1QBxh1Hhu8G4d8bXvFha3tsPkfJKxdTjBvPnG8u2ZGRrNLD7csHUgnFMvjcyiZ2VmCwNWTVCSgaVLeyrqE6XsroJqxvpzbDVCX37hS1VniNK6sBo7DjxVJrL6SY8cMChLfJuVRC13vbSsyot9Z7DsKBAuGuomAPy1iED5GDz8UoGqs4scNLSdvp77qu1udgv8hF3bi51qihTx6tJAWmZ6Wuc5zxxGBW5V5bTJPMhEXGrH3swgvLJEYzzFJxV7oZk6JfbXi9C2pdTQnoPAN1WSGv83nov5YR5Hr5CfN8i2mC6RWXPjYUrcftpGk1HK928ogXAf5Yfyp5yAtxsUTzaBoeGbazPRw3oAHqvc1CQV78PQ41UZBUR49KKPU6YKrFxpGtTBVHX7hQJdnKdKiYbKZPXPrr58BvXubPiXE8yJRQGcaxxygs25nSdW3C9HsAqC9c7tiCtZrTGhkcjAMsKqnSZmEH8WAUH9d9rDgfhszX6yTerEmCQoerWwLZUXnGpi4nsiAked23qSfqiSg3PsrzbJZD6DMZEh673npySFfk5BgNwpkwd",
      "assets": [
        {
          "tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120ecf534a5288073f005b9f2775765f78f60b0f8cd6aa0e56196019f46d8b77916",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[ecf534a5288073f005b9f2775765f78f60b0f8cd6aa0e56196019f46d8b77916]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20c3aa698cb7de156160c80d7fa88f259f99fbb513260c44a856688f87a6d78568",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c3aa698cb7de156160c80d7fa88f259f99fbb513260c44a856688f87a6d78568"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "58097703dd85d2a8c1e61ae12726a38d4f1e4c62c255d447dd64683bb1857bba",
      "value": 2000000,
      "index": 50,
      "spendingProof": null,
      "outputBlockId": "c81ba9db7163bd9443535de36159cb88311f9614452e24ebd4f93c054108903d",
      "outputTransactionId": "0d514d4646f87747ea2552171dd66ef927c0567058b87500e506b15557a5e5c8",
      "outputIndex": 1,
      "outputGlobalIndex": 36337942,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184152,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012082ff090b0137470ce672cc1fb216519b02f2ebf01adc70b985392261bd6bd607",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[82ff090b0137470ce672cc1fb216519b02f2ebf01adc70b985392261bd6bd607]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e200dc779115c79cced09a537dcb413fbc088500b170f7d55ab348fe8028c5549ca",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0dc779115c79cced09a537dcb413fbc088500b170f7d55ab348fe8028c5549ca"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "19b6bcb8917e6103d3dec3e5492f6007f21f77be4702ef629dd653dcce73df4f",
      "value": 2000000,
      "index": 51,
      "spendingProof": null,
      "outputBlockId": "c81ba9db7163bd9443535de36159cb88311f9614452e24ebd4f93c054108903d",
      "outputTransactionId": "169a34ff3ac9baf5721e2a85037869d24c8dedd495452f877be897de68663216",
      "outputIndex": 1,
      "outputGlobalIndex": 36337947,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184152,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012032a82b4b9918ca800b74488c470f2059fab246813f5b6be12715f93dea80e094",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[32a82b4b9918ca800b74488c470f2059fab246813f5b6be12715f93dea80e094]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20956d0c886e46760ff4ab09fccff1f5978d9641018da5f5b3fda67e87f173b5ee",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "956d0c886e46760ff4ab09fccff1f5978d9641018da5f5b3fda67e87f173b5ee"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "5fb6ca3f98a6da276aeb94f585fe4953faa2428c4f852b1459450cbe486b1a89",
      "value": 2000000,
      "index": 52,
      "spendingProof": null,
      "outputBlockId": "c81ba9db7163bd9443535de36159cb88311f9614452e24ebd4f93c054108903d",
      "outputTransactionId": "27f251ac214545749f805447e55010a17668309081eb0c318a4e86c90e5c19d8",
      "outputIndex": 1,
      "outputGlobalIndex": 36337952,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184152,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "42fowRYzqyUjTGRDFYQpTKXdCx7MkLAmGYyLtdrgpUXDnM1aiQsyU8UDi22ctTYeJzp4DWYZ32r6w4edUkLzpsrUzGTqrfUBzXfCX8teEuR73o12nY6cTEQHXc1pRBU5BQFhenjUz6LSERa6iDyE9ZC7TeuqswVRRbUHFrGtAQmE8NPnYxZbYcerpo2zsW1hNyLwrih6whj8kJBjBVNf2Vtu3oB6Qv46u8t7SGwDPv5YU2MtCTAj5vwxZEM4GNoM9vcxzh8H7KzWqJUh8jA2G1mrnbUhCVTW4EyWgcZhRopJKWHiwng8jDpgMfeDD89zLsqNWLqEPFz17LoMmeichU4YxWprzQm5dP8yQQpbdNVJWNuD2FryqcLTyjDphihnUcDfxK5Q5UzBTpbPRi7DQrmJmFjnujJCJKYrX2JSvqeggtSS4QLMpu7fUGs4zVX5znZSaLBgDppSxfvLYXh4Jkye47gsXgm1QBxh1Hhu8G4d8bXvFha3tsPkfJKxdTjBvPnG8u2ZGRrNLD7csHUgnFMvjcyiZ2VmCwNWTVCSgaVLeyrqE6XsroJqxvpzbDVCX37hS1VniNK6sBo7DjxVJrL6SY8cMChLfJuVRC13vbSsyot9Z7DsKBAuGuomAPy1iED5GDz8UoGqs4scNLSdvp77qu1udgv8hF3bi51qihTx6tJAWmZ6Wuc5zxxGBW5V5bTJPMhEXGrH3swgvLJEYzzFJxV7oZk6JfbXi9C2pdTQnoPAN1WSGv83nov5YR5Hr5CfN8i2mC6RWXPjYUrcftpGk1HK928ogXAf5Yfyp5yAtxsUTzaBoeGbazPRw3oAHqvc1CQV78PQ41UZBUR49KKPU6YKrFxpGtTBVHX7hQJdnKdKiYbKZPXPrr58BvXubPiXE8yJRQGcaxxygs25nSdW3C9HsAqC9c7tiCtZrTGhkcjAMsKqnSZmEH8WAUH9d9rDgfhszX6yTerEmCQoerWwLZUXnGpi4nsiAked23qSfqiSg3PsrzbJZD6DMZEh673npySFfk5BgNwpkwd",
      "assets": [
        {
          "tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012059f029d14b583fad4e2a4477a5f986a2dc22ab4abedda85f12a893dc1542473f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[59f029d14b583fad4e2a4477a5f986a2dc22ab4abedda85f12a893dc1542473f]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e209c14290e59a6d202a557683a614c7846295628e84dd184b80ff8cd2f8d01b700",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "9c14290e59a6d202a557683a614c7846295628e84dd184b80ff8cd2f8d01b700"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "2a8ed37558db6778f3fba893bc802a7449810bef3dcb0f444a3034dfe8842733",
      "value": 2000000,
      "index": 53,
      "spendingProof": null,
      "outputBlockId": "c81ba9db7163bd9443535de36159cb88311f9614452e24ebd4f93c054108903d",
      "outputTransactionId": "2f0fe964f9d766edf18568b9117f6b62c2541941564bd6c479b0e5b258ae1748",
      "outputIndex": 1,
      "outputGlobalIndex": 36337957,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184152,
      "ergoTree": "101f04000e205415c539fa9b661f02f4e8eaf36de60a63a2859273801c1e7ca822908c3ebfde0400020004020400040004000400040004000400040604040402050205c8010400040004000e20eceee4b72d8572c032789927a1847557292fb80b78fb58d6214754d2d474272d0402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120fb0d0b8c45421a113257a16ead7739efccbbcfba5429d725aa42da7981d368c0",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[fb0d0b8c45421a113257a16ead7739efccbbcfba5429d725aa42da7981d368c0]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20de092efecc66eba5f135c5e9a9104e85bab7e6a08c6f8bab12bede3075b52405",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "de092efecc66eba5f135c5e9a9104e85bab7e6a08c6f8bab12bede3075b52405"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "b475cdf9c9819cc20bdbc29e22da2b9e029df726dbcd62071df7450aa3cb58f7",
      "value": 2000000,
      "index": 54,
      "spendingProof": null,
      "outputBlockId": "c81ba9db7163bd9443535de36159cb88311f9614452e24ebd4f93c054108903d",
      "outputTransactionId": "356928f92d8a06e0d998a3d2664a5f3010d5289e6198f6582a4e38c95e182909",
      "outputIndex": 1,
      "outputGlobalIndex": 36337962,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184152,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120e34ba91660a54beb11a8cfbf32a08977c4ced826b2dd775910fcb6a0f279346b",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[e34ba91660a54beb11a8cfbf32a08977c4ced826b2dd775910fcb6a0f279346b]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20f15f0599a2fe6e7cc043ae07aacbca822fcf0e2d44c3fd232d5acd88eaf3a38e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f15f0599a2fe6e7cc043ae07aacbca822fcf0e2d44c3fd232d5acd88eaf3a38e"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "c8c8338e25edc6302d4edbb2e86bac98a5112172c3268c042d48d18cd5a7866b",
      "value": 2000000,
      "index": 55,
      "spendingProof": null,
      "outputBlockId": "c81ba9db7163bd9443535de36159cb88311f9614452e24ebd4f93c054108903d",
      "outputTransactionId": "6595f066b4b1e69c0805042ae09fac7c960ed5e71c9d54523434c3a7dc1944a1",
      "outputIndex": 1,
      "outputGlobalIndex": 36337967,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184152,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120a8af3d30b54822c95e12afa8f99467fe05b203ec7b3294c3d581453271535f39",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[a8af3d30b54822c95e12afa8f99467fe05b203ec7b3294c3d581453271535f39]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e201c50b4c04288483cb755c8632f490fd3a8f8d9be3cb2214437ea1c7a58f900da",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1c50b4c04288483cb755c8632f490fd3a8f8d9be3cb2214437ea1c7a58f900da"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "75b31904a9b008e2d3b8947ba597fc11939181b539ab3d6c4cec8593c9fe4735",
      "value": 2000000,
      "index": 56,
      "spendingProof": null,
      "outputBlockId": "c81ba9db7163bd9443535de36159cb88311f9614452e24ebd4f93c054108903d",
      "outputTransactionId": "78a09e7ba6ad0c711f4f60462c42d8bcb24460e0fc98147cba21126eba0932ad",
      "outputIndex": 1,
      "outputGlobalIndex": 36337972,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184152,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "42fowRYzqyUjTGRDFYQpTKXdCx7MkLAmGYyLtdrgpUXDnM1aiQsyU8UDi22ctTYeJzp4DWYZ32r6w4edUkLzpsrUzGTqrfUBzXfCX8teEuR73o12nY6cTEQHXc1pRBU5BQFhenjUz6LSERa6iDyE9ZC7TeuqswVRRbUHFrGtAQmE8NPnYxZbYcerpo2zsW1hNyLwrih6whj8kJBjBVNf2Vtu3oB6Qv46u8t7SGwDPv5YU2MtCTAj5vwxZEM4GNoM9vcxzh8H7KzWqJUh8jA2G1mrnbUhCVTW4EyWgcZhRopJKWHiwng8jDpgMfeDD89zLsqNWLqEPFz17LoMmeichU4YxWprzQm5dP8yQQpbdNVJWNuD2FryqcLTyjDphihnUcDfxK5Q5UzBTpbPRi7DQrmJmFjnujJCJKYrX2JSvqeggtSS4QLMpu7fUGs4zVX5znZSaLBgDppSxfvLYXh4Jkye47gsXgm1QBxh1Hhu8G4d8bXvFha3tsPkfJKxdTjBvPnG8u2ZGRrNLD7csHUgnFMvjcyiZ2VmCwNWTVCSgaVLeyrqE6XsroJqxvpzbDVCX37hS1VniNK6sBo7DjxVJrL6SY8cMChLfJuVRC13vbSsyot9Z7DsKBAuGuomAPy1iED5GDz8UoGqs4scNLSdvp77qu1udgv8hF3bi51qihTx6tJAWmZ6Wuc5zxxGBW5V5bTJPMhEXGrH3swgvLJEYzzFJxV7oZk6JfbXi9C2pdTQnoPAN1WSGv83nov5YR5Hr5CfN8i2mC6RWXPjYUrcftpGk1HK928ogXAf5Yfyp5yAtxsUTzaBoeGbazPRw3oAHqvc1CQV78PQ41UZBUR49KKPU6YKrFxpGtTBVHX7hQJdnKdKiYbKZPXPrr58BvXubPiXE8yJRQGcaxxygs25nSdW3C9HsAqC9c7tiCtZrTGhkcjAMsKqnSZmEH8WAUH9d9rDgfhszX6yTerEmCQoerWwLZUXnGpi4nsiAked23qSfqiSg3PsrzbJZD6DMZEh673npySFfk5BgNwpkwd",
      "assets": [
        {
          "tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012028799c4e89d950c55255f347dd48f7459018b6481283088a8fc747b4cbd3d723",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[28799c4e89d950c55255f347dd48f7459018b6481283088a8fc747b4cbd3d723]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e200a96acc7e96fbc1ca5d8c676eefb3b89a6db31926f448d696e9631c8aac75d0d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0a96acc7e96fbc1ca5d8c676eefb3b89a6db31926f448d696e9631c8aac75d0d"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "b0b3258878bf5f8fa181abfcc7f99381ec142453a6725ff964c9e65035248940",
      "value": 2000000,
      "index": 57,
      "spendingProof": null,
      "outputBlockId": "c81ba9db7163bd9443535de36159cb88311f9614452e24ebd4f93c054108903d",
      "outputTransactionId": "b3e4dcc3c9dce714a357ee8899b0494c9781512c067f1caa329db4c25791cf92",
      "outputIndex": 1,
      "outputGlobalIndex": 36337977,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184152,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120d51de9a746fad6406d043ec74c98a1c94b084d8e3b9614b786eae0ce1308eca0",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[d51de9a746fad6406d043ec74c98a1c94b084d8e3b9614b786eae0ce1308eca0]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20b56f52b054e283b6b7f93e8f880ec44650710b960141524d47e72099fd0f8658",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "b56f52b054e283b6b7f93e8f880ec44650710b960141524d47e72099fd0f8658"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "8f4d34e5d178cb7d30d3c226d1d99d8488011707376dec05160e15f9dc3b8e72",
      "value": 2000000,
      "index": 58,
      "spendingProof": null,
      "outputBlockId": "c81ba9db7163bd9443535de36159cb88311f9614452e24ebd4f93c054108903d",
      "outputTransactionId": "c5b03f470bf1f965a86cd75c1ce2a6a9c86b01f8aa2761d59819644a00c8158b",
      "outputIndex": 1,
      "outputGlobalIndex": 36337982,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184152,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "42fowRYzqyUjTGRDFYQpTKXdCx7MkLAmGYyLtdrgpUXDnM1aiQsyU8UDi22ctTYeJzp4DWYZ32r6w4edUkLzpsrUzGTqrfUBzXfCX8teEuR73o12nY6cTEQHXc1pRBU5BQFhenjUz6LSERa6iDyE9ZC7TeuqswVRRbUHFrGtAQmE8NPnYxZbYcerpo2zsW1hNyLwrih6whj8kJBjBVNf2Vtu3oB6Qv46u8t7SGwDPv5YU2MtCTAj5vwxZEM4GNoM9vcxzh8H7KzWqJUh8jA2G1mrnbUhCVTW4EyWgcZhRopJKWHiwng8jDpgMfeDD89zLsqNWLqEPFz17LoMmeichU4YxWprzQm5dP8yQQpbdNVJWNuD2FryqcLTyjDphihnUcDfxK5Q5UzBTpbPRi7DQrmJmFjnujJCJKYrX2JSvqeggtSS4QLMpu7fUGs4zVX5znZSaLBgDppSxfvLYXh4Jkye47gsXgm1QBxh1Hhu8G4d8bXvFha3tsPkfJKxdTjBvPnG8u2ZGRrNLD7csHUgnFMvjcyiZ2VmCwNWTVCSgaVLeyrqE6XsroJqxvpzbDVCX37hS1VniNK6sBo7DjxVJrL6SY8cMChLfJuVRC13vbSsyot9Z7DsKBAuGuomAPy1iED5GDz8UoGqs4scNLSdvp77qu1udgv8hF3bi51qihTx6tJAWmZ6Wuc5zxxGBW5V5bTJPMhEXGrH3swgvLJEYzzFJxV7oZk6JfbXi9C2pdTQnoPAN1WSGv83nov5YR5Hr5CfN8i2mC6RWXPjYUrcftpGk1HK928ogXAf5Yfyp5yAtxsUTzaBoeGbazPRw3oAHqvc1CQV78PQ41UZBUR49KKPU6YKrFxpGtTBVHX7hQJdnKdKiYbKZPXPrr58BvXubPiXE8yJRQGcaxxygs25nSdW3C9HsAqC9c7tiCtZrTGhkcjAMsKqnSZmEH8WAUH9d9rDgfhszX6yTerEmCQoerWwLZUXnGpi4nsiAked23qSfqiSg3PsrzbJZD6DMZEh673npySFfk5BgNwpkwd",
      "assets": [
        {
          "tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120f819ea22f55ee8ced5f135125de9f9d40b39df11c9308424767afd48a0914f0e",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[f819ea22f55ee8ced5f135125de9f9d40b39df11c9308424767afd48a0914f0e]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20386fac513575d771f227c5780934dba7588fef96daa53adbeb198e7710cf2c05",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "386fac513575d771f227c5780934dba7588fef96daa53adbeb198e7710cf2c05"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "26209d6bdf6e8738d93d9a16ae3bdba068302865e1e5395705501c12bde0f7ba",
      "value": 2000000,
      "index": 59,
      "spendingProof": null,
      "outputBlockId": "c81ba9db7163bd9443535de36159cb88311f9614452e24ebd4f93c054108903d",
      "outputTransactionId": "cab10747bb1e1ea8f416362f82a55e200eb6ecd66f7ba2fc3cd85a497632c093",
      "outputIndex": 1,
      "outputGlobalIndex": 36337987,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184152,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a0120392e37b9df549c88398f0324ab26450e307ec9d0d4defcc7f46950d9ad7e6ba1",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[392e37b9df549c88398f0324ab26450e307ec9d0d4defcc7f46950d9ad7e6ba1]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20899d599871464e74874563a02c8b1e15749f6cff62cd022f60d4a0de352d97d2",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "899d599871464e74874563a02c8b1e15749f6cff62cd022f60d4a0de352d97d2"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "18749e56ae108a17338670b80db96b74e1608f1c5bf583e5f68c970c4071065c",
      "value": 2000000,
      "index": 60,
      "spendingProof": null,
      "outputBlockId": "c81ba9db7163bd9443535de36159cb88311f9614452e24ebd4f93c054108903d",
      "outputTransactionId": "d84ce71410db25f648b469c9224739554a983ff339a4efd0222700e46bbdd563",
      "outputIndex": 1,
      "outputGlobalIndex": 36337992,
      "outputCreatedAt": 1184147,
      "outputSettledAt": 1184152,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01200b1e840b67e8784ea1ab3371e8a474d03ee232c8ba6565f82a8e7803f2a6696b",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0b1e840b67e8784ea1ab3371e8a474d03ee232c8ba6565f82a8e7803f2a6696b]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e20f00731529fc5efedd05ad418bbe25eca9d742133008b093c7d022583758a34b5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f00731529fc5efedd05ad418bbe25eca9d742133008b093c7d022583758a34b5"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "28d598514d2b0701f07b8d0e9c6500d3938fe887fcd7594e7eb4ee9931c681dc",
      "value": 2000000,
      "index": 61,
      "spendingProof": null,
      "outputBlockId": "c81ba9db7163bd9443535de36159cb88311f9614452e24ebd4f93c054108903d",
      "outputTransactionId": "f41b0428c70b568f4ddc095b67feb1cb86acb49d7d0527e21b086f3eb3073c85",
      "outputIndex": 1,
      "outputGlobalIndex": 36337997,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184152,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a01208301d0efd6924675bb879510054d3f3b25b9236c334e0d45019bd431c84fa462",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[8301d0efd6924675bb879510054d3f3b25b9236c334e0d45019bd431c84fa462]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e2025c0068d103911c775fe40a4e2832e1b7039c47df6f0493bf80416a20314a766",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "25c0068d103911c775fe40a4e2832e1b7039c47df6f0493bf80416a20314a766"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "54422e50436c717ff969c6546f4ce19452bc70743940c5e00e5a4c1b4d228e03",
      "value": 2000000,
      "index": 62,
      "spendingProof": null,
      "outputBlockId": "c81ba9db7163bd9443535de36159cb88311f9614452e24ebd4f93c054108903d",
      "outputTransactionId": "f6149a167f72ce024b87f2150ee428d5d610ef39e4ed9eb766b886738ff1cf0d",
      "outputIndex": 1,
      "outputGlobalIndex": 36338002,
      "outputCreatedAt": 1184148,
      "outputSettledAt": 1184152,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(84,21,-59,57,-6,-101,102,31,2,-12,-24,-22,-13,109,-26,10,99,-94,-123,-110,115,-128,28,30,124,-88,34,-112,-116,62,-65,-34)\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": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 3000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012068961b57a63655d21943defe6b954ef5e793c969f55826c6a7b75e3446c68033",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[68961b57a63655d21943defe6b954ef5e793c969f55826c6a7b75e3446c68033]"
        },
        "R5": {
          "serializedValue": "1a012073e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[73e6ac75bdd5e8f499c311aa299ff876fdad7022be048358bec5ad03d30facb9]"
        },
        "R6": {
          "serializedValue": "0e208456e3a686b3c5048069a2aec95889e4e0f1a93afca25188b992bce46eafd653",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8456e3a686b3c5048069a2aec95889e4e0f1a93afca25188b992bce46eafd653"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "0c14d9eadd50fe8899fee6bf295919889f368cfcc13cbe845c6b2ae89283ba07",
      "value": 2000000,
      "index": 63,
      "spendingProof": "022a3a878f388951fa0fa185730b679950f167353077c770693fc927a81e91a44cf67b6cbffd96aff23cd4f12de7d7870147049e402cbbe0",
      "outputBlockId": "eac74038c1a328ac18f2b419238c2a3db1afa67151bf539742579d42725737b9",
      "outputTransactionId": "cefe4632bcf29384a98c9d4d62781de45d423a22a37806ddf04e790d95eb4707",
      "outputIndex": 3,
      "outputGlobalIndex": 36266471,
      "outputCreatedAt": 1182213,
      "outputSettledAt": 1182215,
      "ergoTree": "0008cd036c4399cedbf06f65cc3ec02e82eea6706137652c6123b1436435b3bd67439e1f",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6c4399,156d3f,...)))}",
      "address": "9hHV9kXwciEiqRpjNZaFHxFjhu6nf3dwpoNCwZhaRuTadYSsnDV",
      "assets": [
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 0,
          "amount": 1681,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "a6d020ac20af844e81232840d81fec60cdf7d1cedaf29caa7582d4aafac5c116",
      "value": 2000000,
      "index": 64,
      "spendingProof": "2dbfb59ea2f6467fbdfe8ff3b275a4806345b660317e6273685396c9dc2f1ad1b13ca8fa54aac7319534b1de382b279f91418a51b70f8e7f",
      "outputBlockId": "5c2d63a1e27cfc1121ca6f2fc7141458e9d6e9761478501eb79fdaf7f355d796",
      "outputTransactionId": "5b28676ee5652afb8fed6a02876627272b6f230d6f0b713661f9bb575f487614",
      "outputIndex": 3,
      "outputGlobalIndex": 36240796,
      "outputCreatedAt": 1181539,
      "outputSettledAt": 1181541,
      "ergoTree": "0008cd036c4399cedbf06f65cc3ec02e82eea6706137652c6123b1436435b3bd67439e1f",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6c4399,156d3f,...)))}",
      "address": "9hHV9kXwciEiqRpjNZaFHxFjhu6nf3dwpoNCwZhaRuTadYSsnDV",
      "assets": [
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 0,
          "amount": 1376,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "9b4b7e9372415fae1e1b6090e65f69ec5ad28a2d970891a8ebb918da838c28cd",
      "value": 2000000,
      "index": 0,
      "outputBlockId": "730dbf271b64606a548d28f99eb314c4424160435ecfed305c6be8090dcc7fd9",
      "outputTransactionId": "098d084bab0dee7a8c8501e8ac7676289b9d5492ed943f14f729292319015fc3",
      "outputIndex": 0,
      "ergoTree": "102c040004000e202c98a3e42e3f7a9a132fd937570fa4941fd1b2681eb45f73bb3171399ac5e5580e2055bf993b4376ba132264d084f06fe033321ab43c68db1435a0e7e0bf77ddb73501010402040204040404040004010402040404000e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34040104020406040a0402040004000400040805000400010104020402040004000400040004020402040004000402040204000400040004000406d805d601b2a5730000d602db63087201d603b27202730100d6048c720301d6057302959372047303d17304d813d606db6308a7d607b27206730500d6088c720702d609b27202730600d60a8c720902d60bb27202730700d60c8c720b02d60db27206730800d60e8c720d02d60f8c720701d610e4c6a70611d611b27206730900d6128c720d01d613e4c67201041ad614e4c672010511d615b17214d6169683070193c27201c2a793e4c67201061172109372048c721101938c7203028c721102938c720901720f938c720b01721293b172137215d617e4c6a70511d618b1721795917208720ad806d619e5c672010704730ad61a997208720ad61bb2a5730b00d61cb2a5730c00d61db2db6308721b730d00d61e96830501721693721a99720c720e938c721d02721a938c721d01720f93cbc2721b730e95937219730fd804d61f9972157310d620c5a7d621b2a5731100d622b27210731200d196830c01721e9372159a7218731393b472137314721fe4c6a7041a93b27213721f00722093b472147315721f721793b27214721f00721a93e4c6721b041a83010e7220938cb2db6308721c73160001722093cbc27221720593e4c67221040e722092c17221b27210731700959172227318d801d623b2db6308722173190096830201938c7223017212928c7223027222731ad803d61fe4c6a7041ad620b2721f721900d6219a7219731bd196830801721e9372208cb2db6308b2a4731c00731d0001937213721f93b272147219009ab27217721900721a93b47214731e7219b47217731f721993b4721472217215b472177221721593e4c6721b041a83010e7220938cb2db6308721c732000017220d804d619e4c6a7041ad61ae4c672010704d61b99720a7208d61cb27217721a00d19683040172169383010eb27219721a00e4c6b2a4732100041a93721b99720e720c9591721c721bd801d61d9a721a73229683040193721c9ab27214721a00721b937219721393b472177323721ab472147324721a93b47217721d7218b47214721d7218d801d61d9a721a732596830701937215997218732693721c721b93b472197327721ab472137328721a93b47219721d7218b47213721a721593b472177329721ab47214732a721a93b47217721d7218b47214721a721593cbc2b2a4732b007205",
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      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": 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          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": 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        },
        "R5": {
          "serializedValue": "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",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,24000002,60011004,21114800,36000001,30000001,24000001,30060900,30000001,216000001,150000001,48000001,30039166,30050000,72155630,60000001,36001000,27152626,141001000,60000001,126000006,152236492,21185615,24000001,24000001,18077831,14000000,12000001,60000002,81000001,192001000,30007000,72000288,41562000,111100000,21001000,4111846,15003495,9000099,12000001,15004714,30464457,6001001,27067300,90000005,126013000,63000001,15007067,111027100,36017778,30001001,147000001,114000001,27002000,15000001,3000001,150000001,15010000,36000118,33001000,33001000,33001000,33001000,33000001,33000001,33000001,60001000,12000002,36000001,24854217,33000948,33000091,354000001,24000001,75004000,33000001,15001001,24001001]"
        },
        "R6": {
          "serializedValue": "1106809bee027802c8018080babbc82e808ece1c",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[3000000,60,1,100,800000000000,30000000]"
        },
        "R7": {
          "serializedValue": "041c",
          "sigmaType": "SInt",
          "renderedValue": "14"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "3e73f41806b52f2269dfd9ec26e452918c2470b54d87668a3cfab9838d53d769",
      "transactionId": "841a020bf495625f720463f19cfa777337e5a2eb858340deb09037b52a37f4e0",
      "blockId": "b659c323dd80f91f39676775be9c132b7d808a4af944a9b301d08e10126663ec",
      "value": 124200000,
      "index": 0,
      "globalIndex": 36338053,
      "creationHeight": 1184152,
      "settlementHeight": 1184154,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: Coll(116,10,-34,4,-124,-32,54,-90,67,53,-46,126,74,-59,90,113,82,-116,-114,51,28,-16,110,29,32,-66,-121,-25,35,49,93,63)\n7: 1\n8: 0\n9: Coll(-81,-112,106,-97,-6,111,91,-127,-104,114,-95,53,-30,-89,-90,-35,-43,34,114,-24,-114,15,25,-124,43,55,48,-3,-97,-74,84,119)\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": "nzc6aD1QoVYS1tEcrd3mg9BCgVs2uXgniPUEiUewmjiR3pLKffy8giBSgHqF7Yxse6VFx64P2C4TFtagTzJBBy6kVUPtnAWR4nV4k8DfmFos3T71RtNssV22wbzfWY2419XckkLMwvRwmUNqjCZ7Mu7dcvRibVY97UAuuoftYS8NNTf4vZWNY3msMDitNUAq3NqkDbuJ4N9GcTVCpLWDb8kz1p4x7jT5RdrK9nQ6GvZE9YmTrtAZqdNYCxqNu92XSiwm19zgfuo1Tbc1ceMDMDTjpUEDf8aMqrrTnio5KwuiZafdwABMLaJs9aLxnrHBgqBTAC9MJoEWZjaVWQFe4cDKTMZn8JT6cpqrG26dN7e1CGvzko4tTJkPYhaUqcXaAYX7tYe34efCwTcEmhPPNbeaQNkwhWBhhU55isbHsKCGr3gYgMiuek6CjocMog9DdsT",
      "assets": [
        {
          "tokenId": "b0eef7ef45e9c01845d9eb377561e0e06bb6ac4fa0261114ba20de2e5397dcfb",
          "index": 0,
          "amount": 189000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a3f2095a18f605b807b3a26b76e143aa1d58c96a95132c264ea79a6715b90a6095e9120f013b55a08ffc34bd6faf0aae1acd6eea59a7684b62688e88083c4a29aff50bd20a406e718c4852faa535069db4b88eb23324a8a333c4fe8af65697f749d954fe22058f4c13466ce55ba30cc4978e3d9c36aa830b10f8b470a170d8e05805277f3df20258f3ad3545b9e7a89271a1461a71ff51f1f1c310a1332f0ad5efe060a8a74fd202ef8f142d35e2f6c68df2928ef0ef1ec25d061266d9ff60acadd3286545fda73204c944a2dd27a3f82a04bc909bd752a344a02628759b27d141c61a40b9aec255f203d7c041dad161cf165605605ef860d218cc21554ebe689c66c27e88b2dfdae6920caf00dc86174f81213e6637298691ea04f902fd406fb46868618807439a4eb10200135590074a422dbf9628efa2f1ab6672685a2a3e674e5e3c933b00131f26d6b203e0684af04b9679340705c334a187985b14ebb650452a50943e1586eb0100c9920ff021c07365d20da446b3d5627c4dc1a0ab71d5229556302c21bda4eae1589d42070a69b88b8b38f43564f48c38cb822b93978d79287cbb259e63dd9b6e430664c20a3ffac5d0f4926d6ba854d4c4803800e430ebc16c7d45e157f23f0eb4432020d207e5a48cb173b84a87767465b63371df88f9340fca1527dce8ec67311f0c4c4c62041c93d61e079d71aba8f8f7da69dadf22dd8b2264321a4142fcb3285584ecc892072ba06fdf0d6a194b59bafdc21621ecff102df9395d793485539c14e0df280ec202a4ba526e6801bd7dc01a160728d5669d6e84791292df6a3779f02f30acb0c3e2096e3145ad78dd80e844ca500ea646f9dd685bdeb41164a627cf1b529e30563b420e62278be48013dcd5ba3b6011bcc25dcc8fc4dd8314a2086c71d7ee1c9f3af4e2045aa534fdadb0f75022da43e0afcec1fc004f8a99b592216250cc7e6785f387720ba23cf985feab652dfb450bf8129ba03e258c013e68bf3b3d73e4d4f7e637ba520d0545cd55775748fce18119255b52f4d609fc2080de910bf9e67ccd199feb44e2070c8d865a9b97004bd98e4aadf6f8490622e1e50f53e784bcad91b9b6eb7fc8320986cd585a7c08ae121b55a391f77e194182125de1834cefba073fa0c45e0d9a0209a5eb4d9917c70b0e3291114924170bee95e7347cd332171c1b52d5209ed294a200d62ae4ad5b5907dc643647e894fe970ff3d531c5789cb90c6231205146ac2ce20d8b0aaf1767a0067d827942d780fd05f4d81755f5655dc1cbce1c288a56d5f0c20ba356bc87335cbae34c86846c5fc5e9b18c886e8b881e01d5415b8a01023657220564fe041e7aad075c21b3ede9ce8ad32f0911e38c81f7f33cf7b2979ff70253820d8004cd35d18fad14d5b04d66e4ef51a7ee673c2981b005c3fc8b3c526b3a2ef20520b18499f65321d90d138b11934347e7a2507462f1c24092e60f7a4628da35320ff6c818c49679c23bb142db0f27ba65efe35177d2141e16625ad0afcfc3d8c8c20a03285a3c28d07512bedcd472743f32a28cac9da8e82953b612049be437c19bf20839bee3dd0e9d91fcc9c7eda0d0116bf36e0dabbde5c25911bdd434e4a4d162920dda8460bda8b69dbb04c377e77eb3cb132cd595331fa47d3a2244688c5d49fb52061c371314057cd6009ec43e6770dec8341ff567b211c51f965f4c23183758931208100ae737cae0f362f8c9f7f7fc817a79d1c9f410275d9b8ed95a629f50cec4820b306f78444d3bd000d276d6a7d563e716addf83d2f85abf2a9001d045d1cb83f20ccdcd52d6687dad3316a9a503e8b4d3c9f66444453bf788158b6fd9120f5eb8920c7e71f6310e9577f00ebda122d5020dc93ad7916387c8f4d98f353b50ec948d2202f5563ef0a39bf6ccbcc1a3de82e932b535ba4d56ceb8324bcddb3d87be02298206e6e0f51daa704f1bde8b5a5544b2a134b6f2df2e8fe20125c2e0a36ff70c6612099b030e625f3a5da015d86ee1ec1fd36955a30732a157180b7ca054449d343ac2051937222b1334c50c0f7fc33a21ea02f8e513d38f9bfbe71e731565369fce1ca2023e26f9b26aac85c91c516c91c0a9094cbb2faf015c0134887be717d90cd86842020c66d342118e0267454a4b01fffa875d21aaef5856735358130b71c492d673f20aee832130322dc3cf9e2e640c501463ff6586d8e6b2c435cc0754294a74a60b520da1ff77fd16dc9b875a3d84da2c88d0fdbd10d643d5e1502f5429d53ad67c52220ecf534a5288073f005b9f2775765f78f60b0f8cd6aa0e56196019f46d8b779162082ff090b0137470ce672cc1fb216519b02f2ebf01adc70b985392261bd6bd6072032a82b4b9918ca800b74488c470f2059fab246813f5b6be12715f93dea80e0942059f029d14b583fad4e2a4477a5f986a2dc22ab4abedda85f12a893dc1542473f20fb0d0b8c45421a113257a16ead7739efccbbcfba5429d725aa42da7981d368c020e34ba91660a54beb11a8cfbf32a08977c4ced826b2dd775910fcb6a0f279346b20a8af3d30b54822c95e12afa8f99467fe05b203ec7b3294c3d581453271535f392028799c4e89d950c55255f347dd48f7459018b6481283088a8fc747b4cbd3d72320d51de9a746fad6406d043ec74c98a1c94b084d8e3b9614b786eae0ce1308eca020f819ea22f55ee8ced5f135125de9f9d40b39df11c9308424767afd48a0914f0e20392e37b9df549c88398f0324ab26450e307ec9d0d4defcc7f46950d9ad7e6ba1200b1e840b67e8784ea1ab3371e8a474d03ee232c8ba6565f82a8e7803f2a6696b208301d0efd6924675bb879510054d3f3b25b9236c334e0d45019bd431c84fa4622068961b57a63655d21943defe6b954ef5e793c969f55826c6a7b75e3446c68033",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[95a18f605b807b3a26b76e143aa1d58c96a95132c264ea79a6715b90a6095e91,f013b55a08ffc34bd6faf0aae1acd6eea59a7684b62688e88083c4a29aff50bd,a406e718c4852faa535069db4b88eb23324a8a333c4fe8af65697f749d954fe2,58f4c13466ce55ba30cc4978e3d9c36aa830b10f8b470a170d8e05805277f3df,258f3ad3545b9e7a89271a1461a71ff51f1f1c310a1332f0ad5efe060a8a74fd,2ef8f142d35e2f6c68df2928ef0ef1ec25d061266d9ff60acadd3286545fda73,4c944a2dd27a3f82a04bc909bd752a344a02628759b27d141c61a40b9aec255f,3d7c041dad161cf165605605ef860d218cc21554ebe689c66c27e88b2dfdae69,caf00dc86174f81213e6637298691ea04f902fd406fb46868618807439a4eb10,0135590074a422dbf9628efa2f1ab6672685a2a3e674e5e3c933b00131f26d6b,3e0684af04b9679340705c334a187985b14ebb650452a50943e1586eb0100c99,ff021c07365d20da446b3d5627c4dc1a0ab71d5229556302c21bda4eae1589d4,70a69b88b8b38f43564f48c38cb822b93978d79287cbb259e63dd9b6e430664c,a3ffac5d0f4926d6ba854d4c4803800e430ebc16c7d45e157f23f0eb4432020d,7e5a48cb173b84a87767465b63371df88f9340fca1527dce8ec67311f0c4c4c6,41c93d61e079d71aba8f8f7da69dadf22dd8b2264321a4142fcb3285584ecc89,72ba06fdf0d6a194b59bafdc21621ecff102df9395d793485539c14e0df280ec,2a4ba526e6801bd7dc01a160728d5669d6e84791292df6a3779f02f30acb0c3e,96e3145ad78dd80e844ca500ea646f9dd685bdeb41164a627cf1b529e30563b4,e62278be48013dcd5ba3b6011bcc25dcc8fc4dd8314a2086c71d7ee1c9f3af4e,45aa534fdadb0f75022da43e0afcec1fc004f8a99b592216250cc7e6785f3877,ba23cf985feab652dfb450bf8129ba03e258c013e68bf3b3d73e4d4f7e637ba5,d0545cd55775748fce18119255b52f4d609fc2080de910bf9e67ccd199feb44e,70c8d865a9b97004bd98e4aadf6f8490622e1e50f53e784bcad91b9b6eb7fc83,986cd585a7c08ae121b55a391f77e194182125de1834cefba073fa0c45e0d9a0,9a5eb4d9917c70b0e3291114924170bee95e7347cd332171c1b52d5209ed294a,0d62ae4ad5b5907dc643647e894fe970ff3d531c5789cb90c6231205146ac2ce,d8b0aaf1767a0067d827942d780fd05f4d81755f5655dc1cbce1c288a56d5f0c,ba356bc87335cbae34c86846c5fc5e9b18c886e8b881e01d5415b8a010236572,564fe041e7aad075c21b3ede9ce8ad32f0911e38c81f7f33cf7b2979ff702538,d8004cd35d18fad14d5b04d66e4ef51a7ee673c2981b005c3fc8b3c526b3a2ef,520b18499f65321d90d138b11934347e7a2507462f1c24092e60f7a4628da353,ff6c818c49679c23bb142db0f27ba65efe35177d2141e16625ad0afcfc3d8c8c,a03285a3c28d07512bedcd472743f32a28cac9da8e82953b612049be437c19bf,839bee3dd0e9d91fcc9c7eda0d0116bf36e0dabbde5c25911bdd434e4a4d1629,dda8460bda8b69dbb04c377e77eb3cb132cd595331fa47d3a2244688c5d49fb5,61c371314057cd6009ec43e6770dec8341ff567b211c51f965f4c23183758931,8100ae737cae0f362f8c9f7f7fc817a79d1c9f410275d9b8ed95a629f50cec48,b306f78444d3bd000d276d6a7d563e716addf83d2f85abf2a9001d045d1cb83f,ccdcd52d6687dad3316a9a503e8b4d3c9f66444453bf788158b6fd9120f5eb89,c7e71f6310e9577f00ebda122d5020dc93ad7916387c8f4d98f353b50ec948d2,2f5563ef0a39bf6ccbcc1a3de82e932b535ba4d56ceb8324bcddb3d87be02298,6e6e0f51daa704f1bde8b5a5544b2a134b6f2df2e8fe20125c2e0a36ff70c661,99b030e625f3a5da015d86ee1ec1fd36955a30732a157180b7ca054449d343ac,51937222b1334c50c0f7fc33a21ea02f8e513d38f9bfbe71e731565369fce1ca,23e26f9b26aac85c91c516c91c0a9094cbb2faf015c0134887be717d90cd8684,20c66d342118e0267454a4b01fffa875d21aaef5856735358130b71c492d673f,aee832130322dc3cf9e2e640c501463ff6586d8e6b2c435cc0754294a74a60b5,da1ff77fd16dc9b875a3d84da2c88d0fdbd10d643d5e1502f5429d53ad67c522,ecf534a5288073f005b9f2775765f78f60b0f8cd6aa0e56196019f46d8b77916,82ff090b0137470ce672cc1fb216519b02f2ebf01adc70b985392261bd6bd607,32a82b4b9918ca800b74488c470f2059fab246813f5b6be12715f93dea80e094,59f029d14b583fad4e2a4477a5f986a2dc22ab4abedda85f12a893dc1542473f,fb0d0b8c45421a113257a16ead7739efccbbcfba5429d725aa42da7981d368c0,e34ba91660a54beb11a8cfbf32a08977c4ced826b2dd775910fcb6a0f279346b,a8af3d30b54822c95e12afa8f99467fe05b203ec7b3294c3d581453271535f39,28799c4e89d950c55255f347dd48f7459018b6481283088a8fc747b4cbd3d723,d51de9a746fad6406d043ec74c98a1c94b084d8e3b9614b786eae0ce1308eca0,f819ea22f55ee8ced5f135125de9f9d40b39df11c9308424767afd48a0914f0e,392e37b9df549c88398f0324ab26450e307ec9d0d4defcc7f46950d9ad7e6ba1,0b1e840b67e8784ea1ab3371e8a474d03ee232c8ba6565f82a8e7803f2a6696b,8301d0efd6924675bb879510054d3f3b25b9236c334e0d45019bd431c84fa462,68961b57a63655d21943defe6b954ef5e793c969f55826c6a7b75e3446c68033]"
        },
        "R5": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[30313333643331653461303138336334613734363461356565353963626336663566393134316532656532613365313661343861386438373462343539646664,6572676f,63617264616e6f,39676d3956676268735561786672783477724b764c6f33746e315a326a596756384646584378724b7473397956616e54486b74,6164647231713978346d66736363373667387a706b766432767a3832373339376a676a64737337366a386c67673837736677726539686636616730793733786d6d6a38333839676b73326c3434767138377639766a796a727171726a6877737173703639373577,0000015d3ef79800,00000001f91fc590,0000000060c45c0c,657267,30346239353336383339336338323166313830646565653832323966626439343162616166396264373438656263646266376164626231342e37323733343535323437,65366165326133613864373464363937613030613639376261383037646432326433303636633930643032383666313461306230643436616135643732376134,0000000000121186]"
        },
        "R6": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      },
      "spentTransactionId": "b130fb45feb83e5d12cffdee74e99fc9eec63be15bec30058fd091763d5207a9",
      "mainChain": true
    },
    {
      "boxId": "f8a7f96920a0761a77c5b8f4447098f71e4d348d83712e9b061ec3c77e24f15c",
      "transactionId": "841a020bf495625f720463f19cfa777337e5a2eb858340deb09037b52a37f4e0",
      "blockId": "b659c323dd80f91f39676775be9c132b7d808a4af944a9b301d08e10126663ec",
      "value": 2000000,
      "index": 1,
      "globalIndex": 36338054,
      "creationHeight": 1184152,
      "settlementHeight": 1184154,
      "ergoTree": "0008cd036c4399cedbf06f65cc3ec02e82eea6706137652c6123b1436435b3bd67439e1f",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6c4399,156d3f,...)))}",
      "address": "9hHV9kXwciEiqRpjNZaFHxFjhu6nf3dwpoNCwZhaRuTadYSsnDV",
      "assets": [
        {
          "tokenId": "8b08cdd5449a9592a9e79711d7d79249d7a03c535d17efaee83e216e80a44c4b",
          "index": 0,
          "amount": 3057,
          "name": "RSN",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "c1ca69c4420bf19eda337f7b57ea8eedbbb0184a0095af1f79f37bce3ca3e76e",
      "mainChain": true
    },
    {
      "boxId": "2fc6a4733409edb1f4bb9b522805a22fb448de78fda50815af3229df2d4394c2",
      "transactionId": "841a020bf495625f720463f19cfa777337e5a2eb858340deb09037b52a37f4e0",
      "blockId": "b659c323dd80f91f39676775be9c132b7d808a4af944a9b301d08e10126663ec",
      "value": 2000000,
      "index": 2,
      "globalIndex": 36338055,
      "creationHeight": 1184152,
      "settlementHeight": 1184154,
      "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": "d515492c56b67b9cd74a65311a3592b723e1b04fec9160bc40861d04b67c0b37",
      "mainChain": true
    }
  ],
  "size": 5446,
  "isUnconfirmed": false
}