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Transaction

1/30/2024 09:22:48 PM
ID: ab9bf2453c...b1ab
Inputs (68)
#0
c2615ec04e29...2206
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
03d5d742c7ac...529f
Settlement height:
1,189,520
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#1
a2dc4ef2d23e...1e37
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
31f820558dac...54fd
Settlement height:
1,189,520
Value:
0.0011 ERG
Tokens:
rspv1ErgoRWT
3,000
#2
b8b094c6560d...581c
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
4badb748f31e...3fda
Settlement height:
1,189,520
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#3
62bb432557c0...bc74
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
24c418c3891f...ab94
Settlement height:
1,189,525
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#4
569992fd43e8...8b67
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
bf5b31178e6c...cf60
Settlement height:
1,189,525
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#5
c528cf8bf019...00d8
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
d33f3e59302c...dc3f
Settlement height:
1,189,525
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#6
0186c7290931...3d36
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
dc2f2f2dd7a0...1713
Settlement height:
1,189,525
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#7
de234ef46c71...e2db
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
49e2e6d5859a...0026
Settlement height:
1,189,526
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#8
330f9eb8b812...e462
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
a3d5948002a4...a3ce
Settlement height:
1,189,526
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#9
d295455dda61...d0e2
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
d62eb14870b2...a7e4
Settlement height:
1,189,526
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#10
d06f2eea7083...d0b6
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
950f1b6df7d5...2de9
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#11
201c65143ede...1159
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
adbeac73daf5...2140
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#12
4636debe1493...3dd2
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
4c5914ec7705...5d4d
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#13
29757495310a...d30b
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
3e05748f115a...1796
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#14
233c6e530c89...cc44
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
766eeb0b8af0...e716
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#15
dae2d363fc87...9d73
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
9124d9b23a3f...f18d
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#16
636fda3d1dda...754d
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
0e1a7b1bfa92...0eb5
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#17
cb41c087977a...4434
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
0e3e6aba3eee...feed
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#18
3f475d008b70...4e33
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
13e0ca7a7970...d71f
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#19
560cdf0be977...f1e2
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
22a109e9c0d6...244d
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#20
d63b7445f8d2...7391
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
29ccb3c28f23...90d8
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#21
06009696f8c9...8609
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
2af4578a5be5...0a7f
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#22
fe97b15be959...12ef
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
307d3d07491a...39fb
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#23
cc96a9d96b6d...6df4
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
315271e0e1b7...362f
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#24
03d4cdcfd791...7139
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
3167d1292f6b...b7b7
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#25
6e618b5200f0...d9b3
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
329485a7fed3...be84
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#26
a4c442e90dce...0312
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
34c8e273d28b...c7fc
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#27
903335b2b56b...e6c2
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
396cdbdc1f42...a827
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#28
87682ea9123b...4f76
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
4ad02091c47b...569c
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#29
9ccfea588dbc...8d6e
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
4ed27531bf72...9e11
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#30
cd1817fdf00e...ed13
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
54cc90233572...2df8
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#31
7962ac5215c1...bfce
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
57b4c565fb09...64fc
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#32
61a4126fd047...d111
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
5cb53d6433be...6698
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#33
5d7739e4345c...a7d4
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
5e257638be04...3388
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#34
0e73787712fb...d153
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
610f9e8e79fd...0867
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#35
d74cfaa4a5bc...e6a0
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
62666df416fc...521b
Settlement height:
1,189,527
Value:
0.0011 ERG
Tokens:
rspv1ErgoRWT
3,000
#36
58c237f98b09...b084
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
64704f2f0a5c...d720
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#37
b3e9a894fc7f...3ce7
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
6b1f39315505...af59
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#38
fbbce5c289f8...23fc
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
6dec5488c019...8622
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#39
39dff4a60aba...a849
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
710076d50a32...ff78
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#40
8e0d889b018f...557b
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
72115912813c...35ae
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#41
3bb98b605c7a...031f
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
7e277cdd1369...9fa0
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#42
b4cebd233605...f24e
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
8a9f11392167...374e
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#43
db3b051967cb...71ba
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
8dc3a43be887...33a8
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#44
ec9295ce2528...6b53
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
8e0d46034459...f105
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#45
30e5957ccce0...37eb
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
8fe4ef366a0e...2a4d
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#46
a9156f39d7e1...9cbc
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
90bc8574857a...9b56
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#47
d02b7d68f2b7...1d11
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
9a120535dbd6...58ea
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#48
65d050bd60ce...3b91
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
a0dae1482fc1...cadf
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#49
2706fbad841b...484b
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
a6f3d3da7e1a...33f7
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#50
de5f8818d41d...2d41
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
aab1df156bc9...3973
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#51
a941fe24f75a...a23d
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
affda838d718...04e1
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#52
5723dba27ab3...1316
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
c5486f4ebdf8...766b
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#53
5f54b6855669...7e6f
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
c833b0e40223...a8d6
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#54
0ea20e82d836...e264
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
c840018602b0...8053
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#55
87d007d17b63...df41
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
c914b998b133...4596
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#56
2ef6b4727c2c...11ce
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
cafb265284fa...43e2
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#57
acac016e86e4...6dfb
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
cb5f423fc7b9...8f49
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#58
cf4aa3f7ceb2...2e69
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
cc548869e5d1...3127
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#59
6c7c45eff13e...f342
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
d057785b7307...c52c
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#60
1c74206c8e75...2bd1
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
d123100d6ee7...4ce4
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#61
8a0c24c2abe5...ecf9
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
d67f6e8e9b0e...be19
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#62
2f8db7d54035...95c7
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
db3e59e63524...908d
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#63
62b5ec8098cb...16c0
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
e6f25189cc83...f1c7
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#64
d57d71e707ee...6446
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
ea9ad95851be...1886
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#65
f7eee780a763...121c
Spent
Address:
42fowRYzqyUj...pkwd
Output transaction:
edec29fcc83c...8c4f
Settlement height:
1,189,527
Value:
0.002 ERG
Tokens:
rspv1ErgoRWT
3,000
#66
0065b1d61dce...5821
Spent
Address:
9hHV9kXwciEi...snDV
Output transaction:
234fd41cec37...470f
Settlement height:
1,183,449
Value:
0.002 ERG
Tokens:
RSN
1
#67
a8ac648215c5...9c38
Spent
Address:
9hHV9kXwciEi...snDV
Output transaction:
8f3afbe0fd0f...1b58
Settlement height:
1,183,281
Value:
0.002 ERG
Tokens:
RSN
5
Outputs (3)
#0
cd6b9d2d1d26...e078
Spent
Address:
nzc6aD1QoVYS...DdsT
Spent in transaction:
54133ba6601d...a907
Settlement height:
1,189,532
Value:
0.1302 ERG
Tokens:
rspv1ErgoRWT
198,000
#1
71275a26c2ca...75fc
Spent
Address:
9hHV9kXwciEi...snDV
Spent in transaction:
fc407f3ffcac...712a
Settlement height:
1,189,532
Value:
0.002 ERG
Tokens:
RSN
6
#2
03332267e318...5aba
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
466d563196a1...0359
Settlement height:
1,189,532
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 5.51 KB
Received time: 1/30/2024 09:22:48 PM
Included in blocks: 1,189,532
Confirmations: 578,248
Total coins transferred: 0.1342 ERG
Fees: 0.002 ERG
Fees per byte: 0.000000354 ERG
Raw Transaction Data
{
  "id": "ab9bf2453cdb7db5e5703ef078c2dd3ee524d4197d658c05cb5f759e6c0eb1ab",
  "blockId": "b1ee9e1897c0a3d2e92700a4a76dcc6b2f91c1a28338573a44cf7f1e4f7f6248",
  "inclusionHeight": 1189532,
  "timestamp": 1706649768098,
  "index": 5,
  "globalIndex": 6558785,
  "numConfirmations": 578248,
  "inputs": [
    {
      "boxId": "c2615ec04e2944fee83094f1fc447fee8814ea69bf92accf20bef1074f912206",
      "value": 2000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "e565653fba8db547ef1a28dd87e6ba9a060a9a3007b2eba0f7ca995be5e1e37a",
      "outputTransactionId": "03d5d742c7ac145aaf39c506fb24e2a7dde727c4bed6e83ed0d45d64876c529f",
      "outputIndex": 1,
      "outputGlobalIndex": 36563187,
      "outputCreatedAt": 1189518,
      "outputSettledAt": 1189520,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e2064bfd964ca3a0ae878b1b7c7a3db030ffea377ae7771908e9fae874d8f839cf1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "64bfd964ca3a0ae878b1b7c7a3db030ffea377ae7771908e9fae874d8f839cf1"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "a2dc4ef2d23e50ca3e20d4cd9b40e8dfa32fb8fc85c2d30d4e4d93230fc41e37",
      "value": 1100000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "e565653fba8db547ef1a28dd87e6ba9a060a9a3007b2eba0f7ca995be5e1e37a",
      "outputTransactionId": "31f820558dac3c2ec371be50e7d030005d5dda202cfc9d67fb78c21261c754fd",
      "outputIndex": 1,
      "outputGlobalIndex": 36563204,
      "outputCreatedAt": 1189518,
      "outputSettledAt": 1189520,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20e535479d5600621b844768c5426115ff48790c37676eb5713188ecfcba4d440a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e535479d5600621b844768c5426115ff48790c37676eb5713188ecfcba4d440a"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "b8b094c6560ddf4cc901a0582d75cb59647a642149702813e17eeb5ebc99581c",
      "value": 2000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "e565653fba8db547ef1a28dd87e6ba9a060a9a3007b2eba0f7ca995be5e1e37a",
      "outputTransactionId": "4badb748f31e1fc79281547433b2dcdceb95ea471ea0244f3fffa97939d33fda",
      "outputIndex": 1,
      "outputGlobalIndex": 36563209,
      "outputCreatedAt": 1189518,
      "outputSettledAt": 1189520,
      "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": "1a0120f013b55a08ffc34bd6faf0aae1acd6eea59a7684b62688e88083c4a29aff50bd",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[f013b55a08ffc34bd6faf0aae1acd6eea59a7684b62688e88083c4a29aff50bd]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20a9f26dceed2ec1b3fbcd9dc5ebf961337917d7d848a7e690bcfe01a43fce1000",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a9f26dceed2ec1b3fbcd9dc5ebf961337917d7d848a7e690bcfe01a43fce1000"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "62bb432557c0e8e276d484dece807e4dc345fcb7b97996ed70a94e5276a5bc74",
      "value": 2000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "9ec9e6f5761efcf7d621c177b7dd2e79292fb09356bbf1cede2c1ad5c948f758",
      "outputTransactionId": "24c418c3891f4c3ac7411a3c1589462f25d5be7946a415cb528df1829e42ab94",
      "outputIndex": 1,
      "outputGlobalIndex": 36563365,
      "outputCreatedAt": 1189523,
      "outputSettledAt": 1189525,
      "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": "1a0120e3a498c234c7859c93d5f4f97ac4382622064809a0132da4427ab7d2806a212c",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[e3a498c234c7859c93d5f4f97ac4382622064809a0132da4427ab7d2806a212c]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20839028ebff81cbd4c96a743be1159c30ea62478f15128d7882fddc50cf08514a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "839028ebff81cbd4c96a743be1159c30ea62478f15128d7882fddc50cf08514a"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "569992fd43e82d5197171e54e102a25c425cfcd814a42c1fdf491f0000718b67",
      "value": 2000000,
      "index": 4,
      "spendingProof": null,
      "outputBlockId": "9ec9e6f5761efcf7d621c177b7dd2e79292fb09356bbf1cede2c1ad5c948f758",
      "outputTransactionId": "bf5b31178e6ccb274f1b52d7c256801ee9084e460479e17cb24219f8e43ecf60",
      "outputIndex": 1,
      "outputGlobalIndex": 36563370,
      "outputCreatedAt": 1189523,
      "outputSettledAt": 1189525,
      "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": "1a01209a5eb4d9917c70b0e3291114924170bee95e7347cd332171c1b52d5209ed294a",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[9a5eb4d9917c70b0e3291114924170bee95e7347cd332171c1b52d5209ed294a]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20fb40c84db575db8bb149a4b0393301502fe93bc9b0af35dba5898828e0ccebd6",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "fb40c84db575db8bb149a4b0393301502fe93bc9b0af35dba5898828e0ccebd6"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "c528cf8bf019c125ec4cbe11262efb0568bddb6987e996593812a39941e500d8",
      "value": 2000000,
      "index": 5,
      "spendingProof": null,
      "outputBlockId": "9ec9e6f5761efcf7d621c177b7dd2e79292fb09356bbf1cede2c1ad5c948f758",
      "outputTransactionId": "d33f3e59302c6fbe1240a928ac55618af5a0ea56081ba5ff0924829e87d5dc3f",
      "outputIndex": 1,
      "outputGlobalIndex": 36563375,
      "outputCreatedAt": 1189523,
      "outputSettledAt": 1189525,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e2043de5520745bfacaaaeab0a3becb30d67218f2b726acb354d78c929f2f4368d6",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "43de5520745bfacaaaeab0a3becb30d67218f2b726acb354d78c929f2f4368d6"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "0186c7290931af3dbcd210a3e0b698e1ace226cd5f8cea412e2542e7ec8b3d36",
      "value": 2000000,
      "index": 6,
      "spendingProof": null,
      "outputBlockId": "9ec9e6f5761efcf7d621c177b7dd2e79292fb09356bbf1cede2c1ad5c948f758",
      "outputTransactionId": "dc2f2f2dd7a0a45e508451641b8baece09e5303b700407c2a44c705ec9d41713",
      "outputIndex": 1,
      "outputGlobalIndex": 36563380,
      "outputCreatedAt": 1189523,
      "outputSettledAt": 1189525,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20ceec808f2350d17c90de4c9022da626b87c432ee6a373c0890972cc05ad53e66",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ceec808f2350d17c90de4c9022da626b87c432ee6a373c0890972cc05ad53e66"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "de234ef46c7131d983f7cd8352e263158d3bf17de65f98ac40ec1dab2338e2db",
      "value": 2000000,
      "index": 7,
      "spendingProof": null,
      "outputBlockId": "79af676acbeeb680d35fc556ed3107f3c0d47348d8f3a49a27e901591d1f3027",
      "outputTransactionId": "49e2e6d5859a43cacfe2d16f0f5de95e6939c7d7bd39baef118affe7d93e0026",
      "outputIndex": 1,
      "outputGlobalIndex": 36563403,
      "outputCreatedAt": 1189524,
      "outputSettledAt": 1189526,
      "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": "1a0120520b18499f65321d90d138b11934347e7a2507462f1c24092e60f7a4628da353",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[520b18499f65321d90d138b11934347e7a2507462f1c24092e60f7a4628da353]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20daa613a789e375d3170b4c9e085e2bdbeac4efecfa28501ca629abb2afd4b6e3",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "daa613a789e375d3170b4c9e085e2bdbeac4efecfa28501ca629abb2afd4b6e3"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "330f9eb8b81278eda913650528f1f02a27b413527f6965fa261ab72da0b8e462",
      "value": 2000000,
      "index": 8,
      "spendingProof": null,
      "outputBlockId": "79af676acbeeb680d35fc556ed3107f3c0d47348d8f3a49a27e901591d1f3027",
      "outputTransactionId": "a3d5948002a4655c1e4d6b408a0f5a439669a0837342ec7e3455babf3c67a3ce",
      "outputIndex": 1,
      "outputGlobalIndex": 36563408,
      "outputCreatedAt": 1189523,
      "outputSettledAt": 1189526,
      "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": "1a0120ecf534a5288073f005b9f2775765f78f60b0f8cd6aa0e56196019f46d8b77916",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[ecf534a5288073f005b9f2775765f78f60b0f8cd6aa0e56196019f46d8b77916]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e202aad8b520890214dbe1e643c6c02179de4caecb1894ddb8a20f693eadd39f1ee",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2aad8b520890214dbe1e643c6c02179de4caecb1894ddb8a20f693eadd39f1ee"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "d295455dda6143f032b84deff12d69fa53bd59c325693c2e63ac4899ae2dd0e2",
      "value": 2000000,
      "index": 9,
      "spendingProof": null,
      "outputBlockId": "79af676acbeeb680d35fc556ed3107f3c0d47348d8f3a49a27e901591d1f3027",
      "outputTransactionId": "d62eb14870b234389cd308fbd91928ce7bad9567126ff4af9ee7859f3130a7e4",
      "outputIndex": 1,
      "outputGlobalIndex": 36563413,
      "outputCreatedAt": 1189523,
      "outputSettledAt": 1189526,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20d75600f050acfacd0211c9deeed1d2df3d3f8409bc6ce64536f5ff889cb9464a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d75600f050acfacd0211c9deeed1d2df3d3f8409bc6ce64536f5ff889cb9464a"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "d06f2eea708339d2b773dc28c37caca0e1229824fe2124baf31225b91a7dd0b6",
      "value": 2000000,
      "index": 10,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "950f1b6df7d50879937ee06132ebee7aa61c528f50f939f012ea099d12402de9",
      "outputIndex": 1,
      "outputGlobalIndex": 36563432,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a01206ba3b5a45dd3ea28e3258709a122ed145f90c2bcf46abdcbbb099ecd6243bdde",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[6ba3b5a45dd3ea28e3258709a122ed145f90c2bcf46abdcbbb099ecd6243bdde]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e201f4a94b048df4f40fef23996cf4f62a537f8396c81f55db9072cd0edc9e7cdf2",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1f4a94b048df4f40fef23996cf4f62a537f8396c81f55db9072cd0edc9e7cdf2"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "201c65143edeafba16d1911a101e9b574c723632cda6e510b5e24f86f9ee1159",
      "value": 2000000,
      "index": 11,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "adbeac73daf57d884ac31098e3c82a4e33643fb762d6ce9cfe0a9178922e2140",
      "outputIndex": 1,
      "outputGlobalIndex": 36563437,
      "outputCreatedAt": 1189524,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20ab357c73a9146bbfb558ec38ae8d660fc17dacabb0f3e7ddde5384cce7a4d4fc",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ab357c73a9146bbfb558ec38ae8d660fc17dacabb0f3e7ddde5384cce7a4d4fc"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "4636debe1493f324a893beaf4792488af8537160959e486db4bfd2741bef3dd2",
      "value": 2000000,
      "index": 12,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "4c5914ec7705749589ce9154c4c3ec66fae3f70331199c43626baa40f0fd5d4d",
      "outputIndex": 1,
      "outputGlobalIndex": 36563454,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e201823de1383c2c50a891523dc42de1cc0c6e368187c3f2e9c3a96131648d2cf3f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1823de1383c2c50a891523dc42de1cc0c6e368187c3f2e9c3a96131648d2cf3f"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "29757495310a074009676e53dab481664ba0a4828613f26a2c699c9bc93cd30b",
      "value": 2000000,
      "index": 13,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "3e05748f115aec2bdb0027e10b7dabaaed19a493cd8b9444e2cf9c5f08171796",
      "outputIndex": 1,
      "outputGlobalIndex": 36563459,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a012059f029d14b583fad4e2a4477a5f986a2dc22ab4abedda85f12a893dc1542473f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[59f029d14b583fad4e2a4477a5f986a2dc22ab4abedda85f12a893dc1542473f]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e209320904b58fd3371d0bc36e6a5c96fd0448b0cc25fe9a3946cba2720e14bae4d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "9320904b58fd3371d0bc36e6a5c96fd0448b0cc25fe9a3946cba2720e14bae4d"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "233c6e530c8911b883f4cda49c31b24f5a54b65f1352e0eeca8455f33443cc44",
      "value": 2000000,
      "index": 14,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "766eeb0b8af09e4113c4257e36e46f9fb13405d07cdf930e24e0423c6384e716",
      "outputIndex": 1,
      "outputGlobalIndex": 36563464,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120904e0803675cc5355736d2dfa3bf0c847992b6f3095f20c0be6df04162f560d9",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[904e0803675cc5355736d2dfa3bf0c847992b6f3095f20c0be6df04162f560d9]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e207890abaff1f844f815d20be25be6520b3567e25655141f15323df1786dd6b944",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7890abaff1f844f815d20be25be6520b3567e25655141f15323df1786dd6b944"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "dae2d363fc8778a486ff06ab05413ab3de24072898e76aae6109af5391749d73",
      "value": 2000000,
      "index": 15,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "9124d9b23a3f5193068efc2722cd8c4d6c8d471d21daa5338848177f3216f18d",
      "outputIndex": 1,
      "outputGlobalIndex": 36563469,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20a37e4f1d7e268cd3bbeb2b6c7c7710b1edb5de64dbf7a7e44fa0ac37df9c4f62",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a37e4f1d7e268cd3bbeb2b6c7c7710b1edb5de64dbf7a7e44fa0ac37df9c4f62"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
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    {
      "boxId": "636fda3d1ddae2afcc8d183f201cc96e6659b25eb075197d25cf8510d047754d",
      "value": 2000000,
      "index": 16,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "0e1a7b1bfa920a43cb4ad76c9795901746d6fa3753478cea7804a970eeec0eb5",
      "outputIndex": 1,
      "outputGlobalIndex": 36563474,
      "outputCreatedAt": 1189524,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e205afc65fb8a55217d773e7a48863fee1f9c477eb883a72608e72fa2e9e1acb8f3",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5afc65fb8a55217d773e7a48863fee1f9c477eb883a72608e72fa2e9e1acb8f3"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "cb41c087977a1a880aa9b53d4c76087bdb0671455a14a51130c9a331172c4434",
      "value": 2000000,
      "index": 17,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "0e3e6aba3eee55a5377472ff517ebd7d3cada89f3250d0e8c901485a5709feed",
      "outputIndex": 1,
      "outputGlobalIndex": 36563479,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120ccdcd52d6687dad3316a9a503e8b4d3c9f66444453bf788158b6fd9120f5eb89",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[ccdcd52d6687dad3316a9a503e8b4d3c9f66444453bf788158b6fd9120f5eb89]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20c8f80246c30194c9baf04816bbacc1401c2c0b088815dcd4d06d2cec5c1bd0df",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c8f80246c30194c9baf04816bbacc1401c2c0b088815dcd4d06d2cec5c1bd0df"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "3f475d008b704d9bebe553a55a94b113d6bac086a08d3de35fa2f62454d24e33",
      "value": 2000000,
      "index": 18,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "13e0ca7a79709650ad49c04d1bd1e7bdef8c51358ec7db0b21e9b77b8ccfd71f",
      "outputIndex": 1,
      "outputGlobalIndex": 36563484,
      "outputCreatedAt": 1189524,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e202b2c54effab6cae9b0b46ee749fb348c2169306c6ee592edd881a933959b0f9b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2b2c54effab6cae9b0b46ee749fb348c2169306c6ee592edd881a933959b0f9b"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "560cdf0be97711e048f0e1924789c8474f8178a132b5355894b0ffc4715af1e2",
      "value": 2000000,
      "index": 19,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "22a109e9c0d63699cf9d26dbd1f5aa9d56a071ef53a837399809fa18e5f9244d",
      "outputIndex": 1,
      "outputGlobalIndex": 36563489,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a012051937222b1334c50c0f7fc33a21ea02f8e513d38f9bfbe71e731565369fce1ca",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[51937222b1334c50c0f7fc33a21ea02f8e513d38f9bfbe71e731565369fce1ca]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20aaf095a1d42e07498dd777784bd295940784389adfbb23175cf49e5da0ebd0f3",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "aaf095a1d42e07498dd777784bd295940784389adfbb23175cf49e5da0ebd0f3"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "d63b7445f8d2ae22f07136e19eaeecd94955dcfedb5feecb711b573360817391",
      "value": 2000000,
      "index": 20,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "29ccb3c28f235599fce23da3b4e82ab6a2ff1667541a96f17b74507c5b6d90d8",
      "outputIndex": 1,
      "outputGlobalIndex": 36563494,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a01203d7c041dad161cf165605605ef860d218cc21554ebe689c66c27e88b2dfdae69",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3d7c041dad161cf165605605ef860d218cc21554ebe689c66c27e88b2dfdae69]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e203ef1e567ae18a29472e71d972d7445d539b8fabf9948127fa090a8db86708294",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "3ef1e567ae18a29472e71d972d7445d539b8fabf9948127fa090a8db86708294"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "06009696f8c957dd4c803a30880b5d66ad5010230afde186460442b44b838609",
      "value": 2000000,
      "index": 21,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "2af4578a5be5ebcd3a008958133f1d53ba4ffa82289830bf8d7df6ed7e160a7f",
      "outputIndex": 1,
      "outputGlobalIndex": 36563499,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a01206e69e8c4981a56503fe4dbcf0fe8fbaf44baeb3c75ceb0fb4ccec494988f195d",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[6e69e8c4981a56503fe4dbcf0fe8fbaf44baeb3c75ceb0fb4ccec494988f195d]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e209df77ad0e85387b6d1ab012e27aee72321b6dbd6d392e56a92b6b90f70f856b9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "9df77ad0e85387b6d1ab012e27aee72321b6dbd6d392e56a92b6b90f70f856b9"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "fe97b15be959add7f06f484cb01bad076bd0c88ecb1af6dedad3c14a0e4f12ef",
      "value": 2000000,
      "index": 22,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "307d3d07491a46e37e0e63916f0af26bd13eb9ddf4e5d22dae93714c0f7039fb",
      "outputIndex": 1,
      "outputGlobalIndex": 36563504,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20cd9a9d56fa869f54b34ade2d7f111e44ac5443f5c16f8f868bd5626893dc4af0",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "cd9a9d56fa869f54b34ade2d7f111e44ac5443f5c16f8f868bd5626893dc4af0"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "cc96a9d96b6daaafaf840515b114bc804576ec526a14d87b57baa24d52746df4",
      "value": 2000000,
      "index": 23,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "315271e0e1b70ae0ba07ce5a454fd3146d285e4000230e0120395bd7f998362f",
      "outputIndex": 1,
      "outputGlobalIndex": 36563509,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20707cf162383e7cd248450edc8d25a6849a055af558db152a51f94ac43c2cd43b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "707cf162383e7cd248450edc8d25a6849a055af558db152a51f94ac43c2cd43b"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
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    {
      "boxId": "03d4cdcfd791e50f996aa857edc1d4629b6d6363eabc0894d68632009d617139",
      "value": 2000000,
      "index": 24,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "3167d1292f6b1347dae83a7d3cb26c63a2c0d678d1a0ad964fd01ebbd6cdb7b7",
      "outputIndex": 1,
      "outputGlobalIndex": 36563514,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120caf00dc86174f81213e6637298691ea04f902fd406fb46868618807439a4eb10",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[caf00dc86174f81213e6637298691ea04f902fd406fb46868618807439a4eb10]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e207ad2bed6a685d45af8ac171f25ee2b89909f4a782d85875499bb8de693836ad5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7ad2bed6a685d45af8ac171f25ee2b89909f4a782d85875499bb8de693836ad5"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "6e618b5200f01a45b5c09a9a099a2a943db67c3bf68716bd8a1bd8ba0fc3d9b3",
      "value": 2000000,
      "index": 25,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "329485a7fed36a0fc8b55ca43a31750ac2804d31c81a4ce535107eecba96be84",
      "outputIndex": 1,
      "outputGlobalIndex": 36563519,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a012020c66d342118e0267454a4b01fffa875d21aaef5856735358130b71c492d673f",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[20c66d342118e0267454a4b01fffa875d21aaef5856735358130b71c492d673f]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e208041b856027e3a36bcdaef9fa3dcefa01493d003c94cff47088f10a7320c3746",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8041b856027e3a36bcdaef9fa3dcefa01493d003c94cff47088f10a7320c3746"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "a4c442e90dce2e2d39341ee9aa824b1fce0002f783120fbebafe83a76af20312",
      "value": 2000000,
      "index": 26,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "34c8e273d28b7a413d25475982159b1306bfb072378a884cd3433dfefdb8c7fc",
      "outputIndex": 1,
      "outputGlobalIndex": 36563524,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a012068961b57a63655d21943defe6b954ef5e793c969f55826c6a7b75e3446c68033",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[68961b57a63655d21943defe6b954ef5e793c969f55826c6a7b75e3446c68033]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e209eb9598907da8afd32ab7d5f0de0ae9027648bbca602d2272e1cd39cab93cf3e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "9eb9598907da8afd32ab7d5f0de0ae9027648bbca602d2272e1cd39cab93cf3e"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "903335b2b56bc90a7e75d92958630eea20e8545919386a7369efcc8c160ce6c2",
      "value": 2000000,
      "index": 27,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "396cdbdc1f42491e375462db93a7d167603a3b2e2e415c066d67ffa0b322a827",
      "outputIndex": 1,
      "outputGlobalIndex": 36563529,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20d78507baad09ca3f4db5e1b07f6ba8351846c76b36c8758dc41bb1f4dec17b4b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d78507baad09ca3f4db5e1b07f6ba8351846c76b36c8758dc41bb1f4dec17b4b"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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      "boxId": "87682ea9123ba02cda4e0dbfaf54c4ad0984c78f780c742333ed696905954f76",
      "value": 2000000,
      "index": 28,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "4ad02091c47b641d5b354343de22ede9d0cb3edd330d17a0db490ba9ad3d569c",
      "outputIndex": 1,
      "outputGlobalIndex": 36563534,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20e531cf4a8e92e70850aa56917b9c9de4b3a5613ba00927d0213535f11f949daf",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e531cf4a8e92e70850aa56917b9c9de4b3a5613ba00927d0213535f11f949daf"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "9ccfea588dbc78e9f3b456871daae75f83c10f95af83071034a85b80bfad8d6e",
      "value": 2000000,
      "index": 29,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "4ed27531bf72cf22f874b80c74d54da9877ee18621c4e574f30c0de88a169e11",
      "outputIndex": 1,
      "outputGlobalIndex": 36563539,
      "outputCreatedAt": 1189524,
      "outputSettledAt": 1189527,
      "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": "1a0120e62278be48013dcd5ba3b6011bcc25dcc8fc4dd8314a2086c71d7ee1c9f3af4e",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[e62278be48013dcd5ba3b6011bcc25dcc8fc4dd8314a2086c71d7ee1c9f3af4e]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20ff48c7cd8b22355f4975b38c2e2549403abf5e39e48f2b90b34d1b9d159a7414",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ff48c7cd8b22355f4975b38c2e2549403abf5e39e48f2b90b34d1b9d159a7414"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
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    {
      "boxId": "cd1817fdf00ec77e312c1e3752ba4a416eb320b0d8657896780ab3e98326ed13",
      "value": 2000000,
      "index": 30,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "54cc90233572dac981b158401827b78dbdfc4804c25daa0fb4311c3688cf2df8",
      "outputIndex": 1,
      "outputGlobalIndex": 36563544,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a012022b3082d151886bfdfca5d8317beb08e310cfe2d7795e3cfd59bfc1dca5dfddd",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[22b3082d151886bfdfca5d8317beb08e310cfe2d7795e3cfd59bfc1dca5dfddd]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20457eb83676acd6e0c5255e71ae8f5d5ef7377ce8a94f63ff738b6af9e707693f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "457eb83676acd6e0c5255e71ae8f5d5ef7377ce8a94f63ff738b6af9e707693f"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "7962ac5215c15063774c69ea633f4b919044eb121294320224ce55e086c3bfce",
      "value": 2000000,
      "index": 31,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "57b4c565fb09441f5fc254b201ba9199521cb4a1cb8a71d2c241cd1b7ff564fc",
      "outputIndex": 1,
      "outputGlobalIndex": 36563549,
      "outputCreatedAt": 1189524,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e2094640cae91f1579ac3f77b792826ec0ae10770d86251e9541fdc29589c4090ae",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "94640cae91f1579ac3f77b792826ec0ae10770d86251e9541fdc29589c4090ae"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "61a4126fd047dbb9ba61e5c695a18e560aa52d2f654d21c541df048f338ed111",
      "value": 2000000,
      "index": 32,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "5cb53d6433bea982ede2ed828c485d4c583628f318fe66ff71fec774928c6698",
      "outputIndex": 1,
      "outputGlobalIndex": 36563554,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e2040f714bfc62620e55eb3dcb5201aea13c08e8fd5f93ed7d9de2b2f88ea92fcc7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "40f714bfc62620e55eb3dcb5201aea13c08e8fd5f93ed7d9de2b2f88ea92fcc7"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "5d7739e4345cd41760669de689b79a86e3c2d8a2cca83fb00e3be15218baa7d4",
      "value": 2000000,
      "index": 33,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "5e257638be043a4b33a160d53df6201bf4d5e2c433693f068ec9c7446a313388",
      "outputIndex": 1,
      "outputGlobalIndex": 36563559,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20fd22c8fcb0f521804fe15496f07778825c79809d3c4c0c1d3bc53ecf87ec36b5",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "fd22c8fcb0f521804fe15496f07778825c79809d3c4c0c1d3bc53ecf87ec36b5"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
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    {
      "boxId": "0e73787712fb4a5ac496e96fa72c4264bb7d8eed77cfe736d63e14337a85d153",
      "value": 2000000,
      "index": 34,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "610f9e8e79fd3cffeeba6bae26c1ef007c58b19fa35aac1932d8348467fd0867",
      "outputIndex": 1,
      "outputGlobalIndex": 36563564,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e201ac4d7115b632d508dcbaa3d86f367398539eeed0dc42fc716d009be2cf81ac8",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1ac4d7115b632d508dcbaa3d86f367398539eeed0dc42fc716d009be2cf81ac8"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "d74cfaa4a5bc057bfc4b94272bbbe7b96da7d27efa42578174ae6e4cd461e6a0",
      "value": 1100000,
      "index": 35,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "62666df416fc7470efa6fc2739518ff290eea215378ace600dc0dac51c73521b",
      "outputIndex": 1,
      "outputGlobalIndex": 36563569,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120839bee3dd0e9d91fcc9c7eda0d0116bf36e0dabbde5c25911bdd434e4a4d1629",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[839bee3dd0e9d91fcc9c7eda0d0116bf36e0dabbde5c25911bdd434e4a4d1629]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e2048d92ae7dbd902fc81301d8e8a8417f2bfd64930e743be5cb5f986494d5815cd",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "48d92ae7dbd902fc81301d8e8a8417f2bfd64930e743be5cb5f986494d5815cd"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "58c237f98b09a70e2c6e0a4137915ba0fa988aa088a0e16d8fa3aa7db217b084",
      "value": 2000000,
      "index": 36,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "64704f2f0a5c91c8755c37143d6ce9a57e3a638c0cc59fc4d8ea57644475d720",
      "outputIndex": 1,
      "outputGlobalIndex": 36563574,
      "outputCreatedAt": 1189523,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e201cc8a93ff142e225ee23abfcd455783c4f86b57d28e6a9573b43e71349e74b16",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1cc8a93ff142e225ee23abfcd455783c4f86b57d28e6a9573b43e71349e74b16"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "b3e9a894fc7f793b6b5bd763a2d7678b5a429c4bfccfe299a58753d3bb4d3ce7",
      "value": 2000000,
      "index": 37,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "6b1f39315505eb1a03de3e974e1f871a2a4915355fdef7af1d8329741f86af59",
      "outputIndex": 1,
      "outputGlobalIndex": 36563579,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e200f38fffc873c08c306a44e4d37d040f5f59e391ab29722d22029e40b7876724c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0f38fffc873c08c306a44e4d37d040f5f59e391ab29722d22029e40b7876724c"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "fbbce5c289f8976f3762dd081521e3e4af9e9c4a2d27155a49be3374202f23fc",
      "value": 2000000,
      "index": 38,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "6dec5488c0192678524f92ddef01ce549ce06d87ccd5f29f00245ea53bf68622",
      "outputIndex": 1,
      "outputGlobalIndex": 36563584,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a012028799c4e89d950c55255f347dd48f7459018b6481283088a8fc747b4cbd3d723",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[28799c4e89d950c55255f347dd48f7459018b6481283088a8fc747b4cbd3d723]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20fffd3dca62a21879ad81eb41c736c436842104ba326dd3d1c6da66584bca8f3b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "fffd3dca62a21879ad81eb41c736c436842104ba326dd3d1c6da66584bca8f3b"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
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    {
      "boxId": "39dff4a60aba18f1433815034f41f24ab9495b657527ecd3c3dd1f66fc47a849",
      "value": 2000000,
      "index": 39,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "710076d50a321b02341319c7eed3bb4aeac0bd6bbb6cb6c9d2602ab68b35ff78",
      "outputIndex": 1,
      "outputGlobalIndex": 36563589,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e208b8582f7a2776e0158e0dbc47ee725ed8bf773958c56fb4351cff83e34d4ae07",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8b8582f7a2776e0158e0dbc47ee725ed8bf773958c56fb4351cff83e34d4ae07"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "8e0d889b018fac6c2a8965b127e7944eaaea21c1a81b87f5ea8dabd52f29557b",
      "value": 2000000,
      "index": 40,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "72115912813cd59438b949304ad457224cedc731dadf3e5de9a0a1885c4d35ae",
      "outputIndex": 1,
      "outputGlobalIndex": 36563594,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20e9e1489b3097268d64193c844214f34d654d2f212d72406ee0ac0a5dfff4de68",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e9e1489b3097268d64193c844214f34d654d2f212d72406ee0ac0a5dfff4de68"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "3bb98b605c7afc334e4e3fc0a9733e8a624b2e460c4d49bc0395817f2c79031f",
      "value": 2000000,
      "index": 41,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "7e277cdd13696daefe2abee683bc2440e881573acb36f1a425de575b6fa99fa0",
      "outputIndex": 1,
      "outputGlobalIndex": 36563599,
      "outputCreatedAt": 1189524,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e207855ff7d8bdbcd13a67abf602a9346cb5eaddbb474ba404839b5e1def1a95462",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7855ff7d8bdbcd13a67abf602a9346cb5eaddbb474ba404839b5e1def1a95462"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
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    {
      "boxId": "b4cebd233605dd293f90f8f800b775e73db40dcb365f9bd536fe91d745b3f24e",
      "value": 2000000,
      "index": 42,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "8a9f113921677a8a7f1f1facf4b8076631166ed455cfa1964f1a525480df374e",
      "outputIndex": 1,
      "outputGlobalIndex": 36563604,
      "outputCreatedAt": 1189524,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20f8c1dd2678b1a7040ab0db86984f3d1c2d48d7a5e868d001dcc2cb4bd506091a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "f8c1dd2678b1a7040ab0db86984f3d1c2d48d7a5e868d001dcc2cb4bd506091a"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
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    {
      "boxId": "db3b051967cb3a1e8e451dfbbec9080138d9a1b16f98ab48e2316657ebc371ba",
      "value": 2000000,
      "index": 43,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "8dc3a43be887583a29b7b5ca6e6ca019e754c4bbf3b9058938e7a56562b433a8",
      "outputIndex": 1,
      "outputGlobalIndex": 36563609,
      "outputCreatedAt": 1189524,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20d427b254fff625e7b86d674dadd3a1b93e06f3d7e08a36b6083f2f26013145b4",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d427b254fff625e7b86d674dadd3a1b93e06f3d7e08a36b6083f2f26013145b4"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
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    {
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      "value": 2000000,
      "index": 44,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "8e0d46034459a3dde9733364b560dbc7c0406d029815bf78ab210dfc8d60f105",
      "outputIndex": 1,
      "outputGlobalIndex": 36563614,
      "outputCreatedAt": 1189524,
      "outputSettledAt": 1189527,
      "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": "1a01208100ae737cae0f362f8c9f7f7fc817a79d1c9f410275d9b8ed95a629f50cec48",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[8100ae737cae0f362f8c9f7f7fc817a79d1c9f410275d9b8ed95a629f50cec48]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e2083345898a7f824e181bd791ac1ff774dafcd0aa1f58d77d451aeb53f5301792c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "83345898a7f824e181bd791ac1ff774dafcd0aa1f58d77d451aeb53f5301792c"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "30e5957ccce07a6795c1a809458c552d839a795cd4d01b84b08f0a0e614937eb",
      "value": 2000000,
      "index": 45,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "8fe4ef366a0efa61d82e74afc9da13b26370b3cbec92ba5f5f6128af10ca2a4d",
      "outputIndex": 1,
      "outputGlobalIndex": 36563619,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20ce96cb1d87a69457a35ddfed8c23acc42b3cb4ba31664a0ddae6aee85b0e144a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ce96cb1d87a69457a35ddfed8c23acc42b3cb4ba31664a0ddae6aee85b0e144a"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
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    {
      "boxId": "a9156f39d7e167fe2c52ee85ffc65f6a31daf9583219c0f3107f0b0b398f9cbc",
      "value": 2000000,
      "index": 46,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "90bc8574857a549e1c0fffe5c20366788ebbdb565ccb9b7c24665a7e52c49b56",
      "outputIndex": 1,
      "outputGlobalIndex": 36563624,
      "outputCreatedAt": 1189524,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20c67acbaefc8d21c7ce387501e6107f3e9640e8b5292706570f6cfa103f2b6f04",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c67acbaefc8d21c7ce387501e6107f3e9640e8b5292706570f6cfa103f2b6f04"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
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    {
      "boxId": "d02b7d68f2b769025214cefc501ff37f10f138fdcbbf45bf562d0a59f4ac1d11",
      "value": 2000000,
      "index": 47,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "9a120535dbd6e6bf0a70a5c8029e85daf42b7bfd3d6745fa208dfed47f9358ea",
      "outputIndex": 1,
      "outputGlobalIndex": 36563629,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a01207e5a48cb173b84a87767465b63371df88f9340fca1527dce8ec67311f0c4c4c6",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[7e5a48cb173b84a87767465b63371df88f9340fca1527dce8ec67311f0c4c4c6]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e208a78007328d2034ec0ef92eaa22285ad3def12aa1b9a0939fcbc1aa086ee9b41",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "8a78007328d2034ec0ef92eaa22285ad3def12aa1b9a0939fcbc1aa086ee9b41"
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        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
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      "value": 2000000,
      "index": 48,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "a0dae1482fc18a08dcc7ed216e5a550e36effe1d93e8a29a934350e3dfe8cadf",
      "outputIndex": 1,
      "outputGlobalIndex": 36563634,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20398b9ebadafc375ff28f21e7dbaa93a1cbd2dbac8204e899d7b1be1ffb029fb7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "398b9ebadafc375ff28f21e7dbaa93a1cbd2dbac8204e899d7b1be1ffb029fb7"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "2706fbad841b722f717f70ec63edbf31ef884a90eb6e81f314cff1796f98484b",
      "value": 2000000,
      "index": 49,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "a6f3d3da7e1a1129f5298f4f3c723570b58d2ef24a451b5f2324a84c6e2033f7",
      "outputIndex": 1,
      "outputGlobalIndex": 36563639,
      "outputCreatedAt": 1189524,
      "outputSettledAt": 1189527,
      "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": "1a0120ff6c818c49679c23bb142db0f27ba65efe35177d2141e16625ad0afcfc3d8c8c",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[ff6c818c49679c23bb142db0f27ba65efe35177d2141e16625ad0afcfc3d8c8c]"
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        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
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        "R6": {
          "serializedValue": "0e200724e60eecb2f69e38b1d7bef4cab720d0424e67851090d56962a1d77951650d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0724e60eecb2f69e38b1d7bef4cab720d0424e67851090d56962a1d77951650d"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
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    {
      "boxId": "de5f8818d41d5309b1f26aaf5f72b4b55123bf050d2f480fe8237cbb8e752d41",
      "value": 2000000,
      "index": 50,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "aab1df156bc9684093ee2b65b99481393546fb87006413bc02d9450641083973",
      "outputIndex": 1,
      "outputGlobalIndex": 36563644,
      "outputCreatedAt": 1189524,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20faa4fa198c1aca9075d760b25464fc0ae8b1d67e3fc360665b990172600e1dcb",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "faa4fa198c1aca9075d760b25464fc0ae8b1d67e3fc360665b990172600e1dcb"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "a941fe24f75a3fe54a86d9c4936897e8b420b768fef07c378a37168c97c8a23d",
      "value": 2000000,
      "index": 51,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "affda838d718299cf135e3e040ffb205fd043e9a4b1938dd789085bf49b504e1",
      "outputIndex": 1,
      "outputGlobalIndex": 36563649,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120f819ea22f55ee8ced5f135125de9f9d40b39df11c9308424767afd48a0914f0e",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[f819ea22f55ee8ced5f135125de9f9d40b39df11c9308424767afd48a0914f0e]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e209a58933b8dfd66fe0cfa70a016c88f49f64700d3668af8772c5cafb7f6d45b08",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "9a58933b8dfd66fe0cfa70a016c88f49f64700d3668af8772c5cafb7f6d45b08"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
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      "value": 2000000,
      "index": 52,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "c5486f4ebdf8fda9ab4ee6fbf1d7ff7e3c7e9d225e931ddeb44b79a41f4f766b",
      "outputIndex": 1,
      "outputGlobalIndex": 36563654,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e203a996ab0c6f69f40fa3f1cdde37c1cee995df74ee10b984bbeeabd8c4ff0b761",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "3a996ab0c6f69f40fa3f1cdde37c1cee995df74ee10b984bbeeabd8c4ff0b761"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "5f54b6855669fc1967f5a62eae75c03fec9962ecd1106aba4bea5352bfd67e6f",
      "value": 2000000,
      "index": 53,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "c833b0e40223dac0847f02a8098f2b8993538c489541b873e4c3132d00b4a8d6",
      "outputIndex": 1,
      "outputGlobalIndex": 36563659,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e202ca5aef1be36a5d754f5d65babe02938c97743b36f75ddcd4a752266797c7a4d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2ca5aef1be36a5d754f5d65babe02938c97743b36f75ddcd4a752266797c7a4d"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
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      "boxId": "0ea20e82d83658ddfa30f0d3f417e83ea19500b2069148a7796d0d48a3f0e264",
      "value": 2000000,
      "index": 54,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "c840018602b0d3aaa45ac116d092e74ea9547007ca1c62393f969e55be708053",
      "outputIndex": 1,
      "outputGlobalIndex": 36563664,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e204719a3531f4befa03cc4234087a014cba171523bf47814a510f647e7fba93c2e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "4719a3531f4befa03cc4234087a014cba171523bf47814a510f647e7fba93c2e"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "87d007d17b63616fe19ef2b1650510030ca36230c48476e96ca58f35506bdf41",
      "value": 2000000,
      "index": 55,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "c914b998b1337c638cb94bb681d30f35a43989c3fd0f048e6c2ba63197a34596",
      "outputIndex": 1,
      "outputGlobalIndex": 36563669,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120564fe041e7aad075c21b3ede9ce8ad32f0911e38c81f7f33cf7b2979ff702538",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[564fe041e7aad075c21b3ede9ce8ad32f0911e38c81f7f33cf7b2979ff702538]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e205b119dbae33c5abcc6ca3c0aa0e6185842e50dfd33c7cbc801131fceba9d6720",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5b119dbae33c5abcc6ca3c0aa0e6185842e50dfd33c7cbc801131fceba9d6720"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    {
      "boxId": "2ef6b4727c2c351e36a7e46221d4aebddf1cfcbcff9e81da1a0b8870c1e211ce",
      "value": 2000000,
      "index": 56,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "cafb265284fa69e095edd473d0739dec513fa642f621b01f3cf52c830cfe43e2",
      "outputIndex": 1,
      "outputGlobalIndex": 36563674,
      "outputCreatedAt": 1189524,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e2055c8c1f20ccaa63aa6ada5429d15c760d761b925f00f7283530241202f9fe734",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "55c8c1f20ccaa63aa6ada5429d15c760d761b925f00f7283530241202f9fe734"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "acac016e86e4f1c0320f0fc60db474fd1075c57c6a5f7c96847819d497766dfb",
      "value": 2000000,
      "index": 57,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "cb5f423fc7b9719a3b040044741f1a12f8aacff180d1bf05b73ab16a844b8f49",
      "outputIndex": 1,
      "outputGlobalIndex": 36563679,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20bb20040ab973238428cb50066426294c3b1da03005bf9abac42bbb97b265154a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "bb20040ab973238428cb50066426294c3b1da03005bf9abac42bbb97b265154a"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
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    {
      "boxId": "cf4aa3f7ceb2a0d5c9fa83fae393f5b4157706ae92e0d8913380d8c2009e2e69",
      "value": 2000000,
      "index": 58,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "cc548869e5d1c6522664ce69c69fc9cd3742a4d04bd1054c4eebe0e670933127",
      "outputIndex": 1,
      "outputGlobalIndex": 36563684,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20dcbb3153970d457c1e5d1add71972ef049e20012520f073b7b2c85a6b42e3bdf",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "dcbb3153970d457c1e5d1add71972ef049e20012520f073b7b2c85a6b42e3bdf"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "6c7c45eff13e83fc3133796bf2ff15fd80dd5a8315054776f78697c7e328f342",
      "value": 2000000,
      "index": 59,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "d057785b73079a0c45fcc453c0ea602692470807119af74a42fa2e26c009c52c",
      "outputIndex": 1,
      "outputGlobalIndex": 36563689,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e2098e95035e17a9017fc4920f51066e1a8ea5e3484c049e14f288e8dcdc2667e6b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "98e95035e17a9017fc4920f51066e1a8ea5e3484c049e14f288e8dcdc2667e6b"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
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    {
      "boxId": "1c74206c8e750ee78f8638ce9c4c6e945d9e057f99e2a6cfb2b766bb6f2c2bd1",
      "value": 2000000,
      "index": 60,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "d123100d6ee771a5935e5cd7a153ad47efa1eef333ec7787907652bbd79a4ce4",
      "outputIndex": 1,
      "outputGlobalIndex": 36563694,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a01203e0684af04b9679340705c334a187985b14ebb650452a50943e1586eb0100c99",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[3e0684af04b9679340705c334a187985b14ebb650452a50943e1586eb0100c99]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e202bc4d1122781aca610014a93860f33eecfdfa6b0af30c7706f60ee0d2a91115a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "2bc4d1122781aca610014a93860f33eecfdfa6b0af30c7706f60ee0d2a91115a"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
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    },
    {
      "boxId": "8a0c24c2abe56f02936d0033dcbbc3d24b03240ce1a3f374d4d21c1beae2ecf9",
      "value": 2000000,
      "index": 61,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "d67f6e8e9b0ecef14c180d6d935e413cfc5dc020c4f77f6517f9a326e28abe19",
      "outputIndex": 1,
      "outputGlobalIndex": 36563699,
      "outputCreatedAt": 1189523,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20ace232ac2da63738887ccd639a9f24779a96c6dd4acc83c8cec0e984f564b2b8",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ace232ac2da63738887ccd639a9f24779a96c6dd4acc83c8cec0e984f564b2b8"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
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    {
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      "value": 2000000,
      "index": 62,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "db3e59e6352493218bef89cfaab4b1b402f2e46ee5cc7bfe5eb72c029c08908d",
      "outputIndex": 1,
      "outputGlobalIndex": 36563704,
      "outputCreatedAt": 1189523,
      "outputSettledAt": 1189527,
      "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": "1a0120ff021c07365d20da446b3d5627c4dc1a0ab71d5229556302c21bda4eae1589d4",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[ff021c07365d20da446b3d5627c4dc1a0ab71d5229556302c21bda4eae1589d4]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e2056fa931446179326a0b7f74d5d39cb0dfa6983f99ea72a5a5c7baba1388eafb9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "56fa931446179326a0b7f74d5d39cb0dfa6983f99ea72a5a5c7baba1388eafb9"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "62b5ec8098cb1c21444afd9d99ebb9d8da4bd74c558be97221f68ce1e7d716c0",
      "value": 2000000,
      "index": 63,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "e6f25189cc839094928c25e6ac7249f63449e0e6fdbfdfc89e2c9dc858f3f1c7",
      "outputIndex": 1,
      "outputGlobalIndex": 36563709,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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": "1a01202f5563ef0a39bf6ccbcc1a3de82e932b535ba4d56ceb8324bcddb3d87be02298",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[2f5563ef0a39bf6ccbcc1a3de82e932b535ba4d56ceb8324bcddb3d87be02298]"
        },
        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20a85801d4ecfb841a52101166b3f7ee2b2d04d1421dc5cbb80b532b473f33638d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "a85801d4ecfb841a52101166b3f7ee2b2d04d1421dc5cbb80b532b473f33638d"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
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    {
      "boxId": "d57d71e707ee5292b24026c43ee9fccd5bbfede614dbb940a3fa348d74f46446",
      "value": 2000000,
      "index": 64,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "ea9ad95851be821f94bd51e39724135aee308d46350a20eedde9c7b133bb1886",
      "outputIndex": 1,
      "outputGlobalIndex": 36563714,
      "outputCreatedAt": 1189524,
      "outputSettledAt": 1189527,
      "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": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20219b93653e4fe5a7295dfec99d30caa8b24c80ef97f32e7ab04495ff8c0f5d0c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "219b93653e4fe5a7295dfec99d30caa8b24c80ef97f32e7ab04495ff8c0f5d0c"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
        }
      }
    },
    {
      "boxId": "f7eee780a76370280add7b78bf18b8a1afec9e37a5538637f0cd0ecf1189121c",
      "value": 2000000,
      "index": 65,
      "spendingProof": null,
      "outputBlockId": "2c89615a8e0e13ecd2f6588e1fb8392ac5c2941db4d9802135313fbac3964b4f",
      "outputTransactionId": "edec29fcc83cb36ca285da80863992e70906c05de3fdc2764813623586588c4f",
      "outputIndex": 1,
      "outputGlobalIndex": 36563719,
      "outputCreatedAt": 1189525,
      "outputSettledAt": 1189527,
      "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]"
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        "R5": {
          "serializedValue": "1a0120b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[b5490887316b74dba8ad5e2a21bcfb19b79bd3d1d7ccd38c18012d80874bb778]"
        },
        "R6": {
          "serializedValue": "0e20ca707bc6c37b55a5bb677915bf3a9edbe4552c079e969b3e43b1caaecac7f8a3",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ca707bc6c37b55a5bb677915bf3a9edbe4552c079e969b3e43b1caaecac7f8a3"
        },
        "R7": {
          "serializedValue": "0e20e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "e4c79cdab405469d19970446b8c073bd832b50b5842cdc34b0e6e240d57d2f34"
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    {
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      "value": 2000000,
      "index": 66,
      "spendingProof": "ecdb3ca278d37e0bb2ad1a84b0d052eb3c69f1b9769b928773d98b2e6bc87f2ad0c921c5d46d40c42e2754efb4e0e0d268e4d5e41ad3ef51",
      "outputBlockId": "4c741358bc352870b21768ee6543b6c224c47869cbb439fb34630413b4cd0627",
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          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": 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        },
        "R5": {
          "serializedValue": "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",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,24000002,60011004,21114800,36000001,30000001,24000001,30060900,30000001,216000001,150000001,48000001,30039166,30050000,60000001,36001000,27152626,141001000,60000001,126000006,152236492,21185615,24000001,24000001,18077831,14000000,12000001,60000002,81000001,192001000,30007000,72000288,9001000,111100000,21001000,4111846,15003495,9000099,12000001,15004714,30464457,6001001,27067300,90000005,126013000,63000001,15007067,111027100,36017778,30001001,30000001,114000001,27002000,15000001,3000001,75000001,15010000,36000118,33001000,33001000,33001000,33001000,33000001,33000001,33000001,60001000,12000002,36000001,24854217,33000948,33000091,354000001,24000001,75004000,33000001,15001001,24001001,6001002]"
        },
        "R6": {
          "serializedValue": "1106809bee027802c8018080babbc82e808ece1c",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[3000000,60,1,100,800000000000,30000000]"
        },
        "R7": {
          "serializedValue": "0440",
          "sigmaType": "SInt",
          "renderedValue": "32"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "cd6b9d2d1d268b32839ff049dc7ad2adbdd9fa14d8236cb3a00dc922347ae078",
      "transactionId": "ab9bf2453cdb7db5e5703ef078c2dd3ee524d4197d658c05cb5f759e6c0eb1ab",
      "blockId": "b1ee9e1897c0a3d2e92700a4a76dcc6b2f91c1a28338573a44cf7f1e4f7f6248",
      "value": 130200000,
      "index": 0,
      "globalIndex": 36563761,
      "creationHeight": 1189529,
      "settlementHeight": 1189532,
      "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": 198000000,
          "name": "rspv1ErgoRWT",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
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          "sigmaType": "Coll[Coll[SByte]]",
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      "creationHeight": 1189529,
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      "ergoTree": "0008cd036c4399cedbf06f65cc3ec02e82eea6706137652c6123b1436435b3bd67439e1f",
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6c4399,156d3f,...)))}",
      "address": "9hHV9kXwciEiqRpjNZaFHxFjhu6nf3dwpoNCwZhaRuTadYSsnDV",
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      "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",
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      "spentTransactionId": "466d563196a1e22f0464791806d6c9856fd2791cca3bdf3a78f9631d6d6d0359",
      "mainChain": true
    }
  ],
  "size": 5647,
  "isUnconfirmed": false
}