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Transaction

7/18/2022 04:50:33 PM
ID: 00f31bb696...e1b5
Inputs (6)
#0
82507ac8cbb7...235a
Spent
Address:
88dhgzEuTXaQ...Z6UA
Output transaction:
b792a2e06f52...9c0e
Settlement height:
795,341
Value:
60 ERG
Tokens:
Loading assets...
#1
9944a0ef277d...d3a0
Spent
Address:
88dhgzEuTXaQ...Z6UA
Output transaction:
8ecee5f5d480...4546
Settlement height:
795,373
Value:
60 ERG
Tokens:
Loading assets...
#2
210b8e211bc6...121d
Spent
Address:
88dhgzEuTXaQ...Z6UA
Output transaction:
20f63bb135cd...0bb5
Settlement height:
795,403
Value:
60 ERG
Tokens:
Loading assets...
#3
bd5139c4b839...b9c9
Spent
Address:
88dhgzEuTXaQ...Z6UA
Output transaction:
396c1dbf2946...c1a7
Settlement height:
795,424
Value:
60 ERG
Tokens:
Loading assets...
#4
e538b7612255...0305
Spent
Address:
88dhgzEuTXaQ...Z6UA
Output transaction:
d3fb53ac701c...a868
Settlement height:
795,443
Value:
60 ERG
Tokens:
Loading assets...
#5
9885814b0bca...8cb7
Spent
Address:
88dhgzEuTXaQ...Z6UA
Output transaction:
288fced6d2ba...c040
Settlement height:
795,444
Value:
60 ERG
Tokens:
Loading assets...
Outputs (24)
#0
ff1bfa6458ab...d94a
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
34f74ec94bde...c024
Settlement height:
796,214
Value:
24.37 ERG
#1
6bfd371405e9...db67
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
6e2cf904fe87...a69d
Settlement height:
796,214
Value:
10.11 ERG
#2
5437984b792e...a762
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
b40cb8604f20...ac57
Settlement height:
796,214
Value:
22.62 ERG
#3
1b2060405ba9...0475
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
c473c225fd96...feee
Settlement height:
796,214
Value:
8.58 ERG
#4
cb2fa3033489...531c
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
1f5c668655c2...c2a9
Settlement height:
796,214
Value:
7.62 ERG
#5
4d1d1427f3a1...ed87
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
80f5e3f6b142...0232
Settlement height:
796,214
Value:
21.98 ERG
#6
9698559f7556...75fe
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
81ad9b56aeed...abd7
Settlement height:
796,214
Value:
4.18 ERG
#7
ff7cb4898c79...5860
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
441889093014...c2c3
Settlement height:
796,214
Value:
19.79 ERG
#8
854812c92da6...d7ad
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
6d8799016c00...497b
Settlement height:
796,214
Value:
9.23 ERG
#9
6bd0474db5f5...6754
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
a5c8c3567ee5...14cb
Settlement height:
796,214
Value:
14.42 ERG
#10
bf1e382f9ed4...ab06
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
0cfcd1c0226a...1cc5
Settlement height:
796,214
Value:
25.13 ERG
#11
38f741c08207...f08e
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
c63f09df1f08...df18
Settlement height:
796,214
Value:
21.45 ERG
#12
34e2da6b1aec...7d60
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
deed8923ed5f...91c5
Settlement height:
796,214
Value:
18.42 ERG
#13
f0b351d13de9...9732
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
3bca6f7ba1dc...0e47
Settlement height:
796,214
Value:
10.62 ERG
#14
048fc8f5b376...6654
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
b441c482fdc4...f636
Settlement height:
796,214
Value:
4.14 ERG
#15
f3bc23ee0362...3e15
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
6d38246a26ca...8b0c
Settlement height:
796,214
Value:
3.43 ERG
#16
c70d78f510f0...feb8
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
1cd74b191bbd...d144
Settlement height:
796,214
Value:
4.47 ERG
#17
3b17915d5c42...c8b2
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
f8b703b24b6e...b5b1
Settlement height:
796,214
Value:
2.48 ERG
#18
7d5dd73c0305...0aeb
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
f09e078afb12...dfdd
Settlement height:
796,214
Value:
4.38 ERG
#19
398e0d97d567...6e84
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
3741f517a28d...95f7
Settlement height:
796,214
Value:
0.237 ERG
#20
08f5bb929242...894b
Spent
Address:
9fMLVMsG8U1P...fc3Q
Spent in transaction:
3f8467d993a6...f708
Settlement height:
796,214
Value:
2.4 ERG
#21
4cbe6b2f7174...526e
Spent
Address:
Ergo Platform (Emission Proxy)
Spent in transaction:
124ca4064bfd...3d00
Settlement height:
796,214
Value:
72 ERG
#22
7f349ba69391...53c4
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
4d0f703a1ab8...df5f
Settlement height:
796,214
Value:
0.12 ERG
#23
4576c422b287...fcea
Spent
Address:
9gUibHoaeiwK...cGoU
Spent in transaction:
d1287f40cd48...587d
Settlement height:
796,214
Value:
47.83 ERG
Transaction Details
Status: Confirmed
Size: 15.82 KB
Received time: 7/18/2022 04:50:33 PM
Included in blocks: 796,214
Confirmations: 971,627
Total coins transferred: 360 ERG
Fees: 0.12 ERG
Fees per byte: 0.000007406 ERG
Raw Transaction Data
{
  "id": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
  "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
  "inclusionHeight": 796214,
  "timestamp": 1658163033924,
  "index": 1,
  "globalIndex": 3571666,
  "numConfirmations": 971627,
  "inputs": [
    {
      "boxId": "82507ac8cbb7299f48da31509c61b4124b7ec5c2adb22ee9588274ac2048235a",
      "value": 60000000000,
      "index": 0,
      "spendingProof": "cf72e45dd63f24142e6dfac780831a2b342a93ac3455f6b31c0e8d12c94ddc8c5ecde0e4dc86780343787515c2cc8fdf61d8f5c94e7845d9",
      "outputBlockId": "ea32fe2db0e51c7ece71fee5e6f2bbf2fe06e26eaea751fa48cf675564494c2c",
      "outputTransactionId": "b792a2e06f5243bb3576b102f4a5f56cd59dca18bd39613f369ed116b5e79c0e",
      "outputIndex": 1,
      "outputGlobalIndex": 19165434,
      "outputCreatedAt": 795341,
      "outputSettledAt": 795341,
      "ergoTree": "100204a00b08cd020e814ace36202c238f6e2ce66d69a1036cb3a6a3318afcecd5af64a5b66fd274ea02d192a39a8cc7a70173007301",
      "ergoTreeConstants": "0: 720\n1: SigmaProp(ProveDlog(ECPoint(e814ac,fbe3f1,...)))",
      "ergoTreeScript": "{sigmaProp(HEIGHT >= SELF.creationInfo._1 + placeholder[Int](0)) && placeholder[SigmaProp](1)}",
      "address": "88dhgzEuTXaQ9HG2rDCmirsSGWEva3yZTXfjAB4ZBb3D1o3XH66qpndNUYqXzXiYnUUb2h9qZrzdZ6UA",
      "assets": [
        {
          "tokenId": "d9a2cc8a09abfaed87afacfbb7daee79a6b26f10c6613fc13d3f3953e5521d1a",
          "index": 0,
          "amount": 12000000000,
          "name": "Reemission Token",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "9944a0ef277ddc25a2b2e61648324a6efca91069c20afc7d2185917acf4cd3a0",
      "value": 60000000000,
      "index": 1,
      "spendingProof": "5e784e17e2248f966b9d8f121c27e8c067ee704c2645006063e60c33982867729623f1b0c07a3099e5ad9a59bf27d17906c2837592529746",
      "outputBlockId": "9a439504cda0ce6ee9e60579bbbd111b4fb6e11e9260daa42c2aef0b2540a00a",
      "outputTransactionId": "8ecee5f5d480f804f08de7eff122a7cfee737038a980c08a6ad468ff40dd4546",
      "outputIndex": 1,
      "outputGlobalIndex": 19166544,
      "outputCreatedAt": 795373,
      "outputSettledAt": 795373,
      "ergoTree": "100204a00b08cd020e814ace36202c238f6e2ce66d69a1036cb3a6a3318afcecd5af64a5b66fd274ea02d192a39a8cc7a70173007301",
      "ergoTreeConstants": "0: 720\n1: SigmaProp(ProveDlog(ECPoint(e814ac,fbe3f1,...)))",
      "ergoTreeScript": "{sigmaProp(HEIGHT >= SELF.creationInfo._1 + placeholder[Int](0)) && placeholder[SigmaProp](1)}",
      "address": "88dhgzEuTXaQ9HG2rDCmirsSGWEva3yZTXfjAB4ZBb3D1o3XH66qpndNUYqXzXiYnUUb2h9qZrzdZ6UA",
      "assets": [
        {
          "tokenId": "d9a2cc8a09abfaed87afacfbb7daee79a6b26f10c6613fc13d3f3953e5521d1a",
          "index": 0,
          "amount": 12000000000,
          "name": "Reemission Token",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "210b8e211bc6f867e9b185ff825043fc6c14884e850c4a12b545777c40b5121d",
      "value": 60000000000,
      "index": 2,
      "spendingProof": "56f0511c67576d5d4547e5205873de1ee341054261a2a96f6e7fd121e98148b0bd42784797224124e47633a1554366abf8f74d22d3f77c18",
      "outputBlockId": "2f0a3ab790b3c4a44072addea4a2b61dac0732d18382d945c0bab7da8f3e4107",
      "outputTransactionId": "20f63bb135cd175b224b7f0ad49351f4f76bd42a135b0e7b35f745bfcac50bb5",
      "outputIndex": 1,
      "outputGlobalIndex": 19167543,
      "outputCreatedAt": 795403,
      "outputSettledAt": 795403,
      "ergoTree": "100204a00b08cd020e814ace36202c238f6e2ce66d69a1036cb3a6a3318afcecd5af64a5b66fd274ea02d192a39a8cc7a70173007301",
      "ergoTreeConstants": "0: 720\n1: SigmaProp(ProveDlog(ECPoint(e814ac,fbe3f1,...)))",
      "ergoTreeScript": "{sigmaProp(HEIGHT >= SELF.creationInfo._1 + placeholder[Int](0)) && placeholder[SigmaProp](1)}",
      "address": "88dhgzEuTXaQ9HG2rDCmirsSGWEva3yZTXfjAB4ZBb3D1o3XH66qpndNUYqXzXiYnUUb2h9qZrzdZ6UA",
      "assets": [
        {
          "tokenId": "d9a2cc8a09abfaed87afacfbb7daee79a6b26f10c6613fc13d3f3953e5521d1a",
          "index": 0,
          "amount": 12000000000,
          "name": "Reemission Token",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "bd5139c4b839d32179fb1a9dd168f26a1ae53a260ff4ede5f2a86049822ab9c9",
      "value": 60000000000,
      "index": 3,
      "spendingProof": "7370eba03d3965bc70d40d7416992b66dc83a25d6ae6d232f8beac0d1299afee0f5a5a82e1c8ace532474d1327e08d1f9c9ef892e3fc1b03",
      "outputBlockId": "4f772158b47a78903f4a8dc6f7693d744a6079431f9d5a49166ec33ba47a13ad",
      "outputTransactionId": "396c1dbf2946d482c6134f56ac172d4c7b6321565c4da972fef535476fe3c1a7",
      "outputIndex": 1,
      "outputGlobalIndex": 19168413,
      "outputCreatedAt": 795424,
      "outputSettledAt": 795424,
      "ergoTree": "100204a00b08cd020e814ace36202c238f6e2ce66d69a1036cb3a6a3318afcecd5af64a5b66fd274ea02d192a39a8cc7a70173007301",
      "ergoTreeConstants": "0: 720\n1: SigmaProp(ProveDlog(ECPoint(e814ac,fbe3f1,...)))",
      "ergoTreeScript": "{sigmaProp(HEIGHT >= SELF.creationInfo._1 + placeholder[Int](0)) && placeholder[SigmaProp](1)}",
      "address": "88dhgzEuTXaQ9HG2rDCmirsSGWEva3yZTXfjAB4ZBb3D1o3XH66qpndNUYqXzXiYnUUb2h9qZrzdZ6UA",
      "assets": [
        {
          "tokenId": "d9a2cc8a09abfaed87afacfbb7daee79a6b26f10c6613fc13d3f3953e5521d1a",
          "index": 0,
          "amount": 12000000000,
          "name": "Reemission Token",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "e538b7612255893cb78c61078b7eaba81f3c32447c5b6776f3d29778e8980305",
      "value": 60000000000,
      "index": 4,
      "spendingProof": "758b962e1bab585323c66d2c0ff240739816a9ec37ca1e4aa51af6203d2f1c2dca5e7d48a047f5c4d6bfd7aff843a1b101939bb486027c73",
      "outputBlockId": "f50ae21cde6942e68628dd74018bccf6ad9232533bcb23751b3519b56abe00a3",
      "outputTransactionId": "d3fb53ac701ceaf906a431faaf768b626ac09bf01b24ab06f97afe67f819a868",
      "outputIndex": 1,
      "outputGlobalIndex": 19168957,
      "outputCreatedAt": 795443,
      "outputSettledAt": 795443,
      "ergoTree": "100204a00b08cd020e814ace36202c238f6e2ce66d69a1036cb3a6a3318afcecd5af64a5b66fd274ea02d192a39a8cc7a70173007301",
      "ergoTreeConstants": "0: 720\n1: SigmaProp(ProveDlog(ECPoint(e814ac,fbe3f1,...)))",
      "ergoTreeScript": "{sigmaProp(HEIGHT >= SELF.creationInfo._1 + placeholder[Int](0)) && placeholder[SigmaProp](1)}",
      "address": "88dhgzEuTXaQ9HG2rDCmirsSGWEva3yZTXfjAB4ZBb3D1o3XH66qpndNUYqXzXiYnUUb2h9qZrzdZ6UA",
      "assets": [
        {
          "tokenId": "d9a2cc8a09abfaed87afacfbb7daee79a6b26f10c6613fc13d3f3953e5521d1a",
          "index": 0,
          "amount": 12000000000,
          "name": "Reemission Token",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "9885814b0bcae7f25db07754e1574290de1b0feff1f4a3b3ac41de0f25fc8cb7",
      "value": 60000000000,
      "index": 5,
      "spendingProof": "cd3d543524de2c92699167aaf5c3ed0326bf9382173b6ba5bf84a7f3ae156f556e33c2177f29a74f2c53f28c493eed350d83eb8706386f14",
      "outputBlockId": "fc2ce4ea5a24f05c9f82f453d17e3e7ffe08a2f59a3478ed73461d5b05b285ea",
      "outputTransactionId": "288fced6d2badcd851e8139de4df9297fc39ca4b53370897e7de25b0040dc040",
      "outputIndex": 1,
      "outputGlobalIndex": 19168978,
      "outputCreatedAt": 795444,
      "outputSettledAt": 795444,
      "ergoTree": "100204a00b08cd020e814ace36202c238f6e2ce66d69a1036cb3a6a3318afcecd5af64a5b66fd274ea02d192a39a8cc7a70173007301",
      "ergoTreeConstants": "0: 720\n1: SigmaProp(ProveDlog(ECPoint(e814ac,fbe3f1,...)))",
      "ergoTreeScript": "{sigmaProp(HEIGHT >= SELF.creationInfo._1 + placeholder[Int](0)) && placeholder[SigmaProp](1)}",
      "address": "88dhgzEuTXaQ9HG2rDCmirsSGWEva3yZTXfjAB4ZBb3D1o3XH66qpndNUYqXzXiYnUUb2h9qZrzdZ6UA",
      "assets": [
        {
          "tokenId": "d9a2cc8a09abfaed87afacfbb7daee79a6b26f10c6613fc13d3f3953e5521d1a",
          "index": 0,
          "amount": 12000000000,
          "name": "Reemission Token",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "ff1bfa6458ab76fe7f6c43c9461e092be5e666de8a05eff9f30aed54aedcd94a",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 24365000000,
      "index": 0,
      "globalIndex": 19202850,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "34f74ec94bde2bd0dcac67e742145831b5f1315ee384f97820f4e293819bc024",
      "mainChain": true
    },
    {
      "boxId": "6bfd371405e9a51a9e43dfeaee7d61364c60c6522830b655ae24175f0a5cdb67",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 10111000000,
      "index": 1,
      "globalIndex": 19202851,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "6e2cf904fe8763d90e3c04438ee0957b768dd5b785dd98504b3f37d9a6f7a69d",
      "mainChain": true
    },
    {
      "boxId": "5437984b792eefe36f87fb6998e58d005f2455b2ee6223c7d2636df6dd21a762",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 22621000000,
      "index": 2,
      "globalIndex": 19202852,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "102a040004000e204342b4a582c18a0e77218f1aa2de464ae1b46ad66c30abc6328e349e624e904704020500040404020500040405c09a0c0580897a040404020500040404000580897a050004000580897a0400040204000404040104040401050001000401040105000100040105000400040101000101050001010100d802d601b2a4730000d602c2a7d195938cb2db63087201730100017302d807d603e4c6b2a4730300040c3c0e11d604e4c67201040c3c0e11d60599b0b5a4d901056393c2720572027304d9010541639a8c720501c18c720502b0b57204d901053c0e11d801d6078c7205028fb27207730500b272077306007307d90105413c0e119a8c720501b28c8c72050202730800d606ade4c67201050c4c0ed901064c0ed801d6089d9c7e8c720602057205730986028c7206019972089e7208730ad607ada5d9010763c27207d608ada5d9010863c17208d609b0b57203d901093c0e11d801d60b8c7209028fb2720b730b00b2720b730c00730dd90109413c0e119a8c720901b28c8c72090202730e00ededaf7203d9010a3c0e11d807d60c8c720a01d60ddc0c1aad7204d9010d3c0e118c720d0102720c730fd60e8c720a02d60fdad9010f05d801d6119d9c99b072067205d90111414d0e998c7211018c8c721102029c73107eb1720305720fb072037311d90111413c0e119a8c721101b28c8c721102027312009972119e7211731301b2720e731400d610b2720e731500d611dc0c1a720702720c7316d612b2720e7317009594720d7318d801d6139ab2b2ad7204d901133c0e118c721302720d00731900720f95927213721095947211731aed93b272087211007213937212731b731ced937211731d93721272139592720f721095947211731eed93b27208721100720f937212731f7320ed9372117321937212720faf7206d9010a4d0ed801d60c8c720a029591720c7322d801d60ddc0c1a7207028c720a0173239594720d732493c1b2a5720d00720c73257326959172097327aea5d9010a63ed93c1720a720993c2720a720273287329",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "b40cb8604f2093cbe86c99bf3662791aeb3a6b565832f0a8ec9add00be81ac57",
      "mainChain": true
    },
    {
      "boxId": "1b2060405ba97b043d40aa6bee64e23286c718ee4542c3d194640491447d0475",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 8580000000,
      "index": 3,
      "globalIndex": 19202853,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "c473c225fd96b94ee89e0fec9895b8de2f5a938f3fce00981deb9c3bf9fefeee",
      "mainChain": true
    },
    {
      "boxId": "cb2fa30334895bd8a187bb6bfa71b0b6d7e4f64c4fd4552c987cd5299a04531c",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 7617000000,
      "index": 4,
      "globalIndex": 19202854,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "1f5c668655c2c553d29166bbf36eaa3db963e3281328ba1a4e45233d24d3c2a9",
      "mainChain": true
    },
    {
      "boxId": "4d1d1427f3a1b223b5659f9567ac08d1c2970accc49d1a4a57ec7d2e56e5ed87",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 21984000000,
      "index": 5,
      "globalIndex": 19202855,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "80f5e3f6b14286b2336fba6a74c1e0b4c1e5cded05a67fa1ab7bda397d490232",
      "mainChain": true
    },
    {
      "boxId": "9698559f7556f4e5472335a9e38c6c266d2769f58e9b1be70b86d5e8c9be75fe",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 4179000000,
      "index": 6,
      "globalIndex": 19202856,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "81ad9b56aeed97144d30f80dd16df1d5fe6a61348fb661e32e717f7a1032abd7",
      "mainChain": true
    },
    {
      "boxId": "ff7cb4898c79a69d76a8f465f8ade9513f5e25a66ce3cfd5a8e96101bc605860",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 19787000000,
      "index": 7,
      "globalIndex": 19202857,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "441889093014d6b2031f7c1d8d7878094c8e00e49de434e2b3833221564dc2c3",
      "mainChain": true
    },
    {
      "boxId": "854812c92da633bbac352ea08ff91add2fe6b14fd16f2b6d39fb4f5a860bd7ad",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 9232000000,
      "index": 8,
      "globalIndex": 19202858,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "42gNKewDz89wkqCb8VJvPNFx7G54mjCkxxkKB7wGggb8oko7kY2hxBSvBP5viG5huFhbjacxeuNCCAMTSGTwRwQDkTdXY3gGLnW6K7jznbsM4hKuGs3PVuNUSovQWNhwjEUXTWkdSFc1Uj1ewCpyiZjN8zHAFpjEBhfbhaUDcHvkzamKf2xAdhC8AEXKXawVz9HwpsYvqapTKJj1oF1M82oS1F3ApxMjm33CYVeCWFUYvH95QxZHfK8magXnLhL1t5QdVPSQjad2XWc1wRXqNeGzDNAmKqpXjRAcnCF1wGQAcXhzEzfoJL5nzzmkS4wxMkbck5AHmGjqCfP8XEwD2beh2xSccKqF6q6WhSrTLHdRwTuyr1pbvxUsGd3FTip24nnGXpb8PmuHX6EcP8mJ4igjDZ9Hx9SXoNM1NosW2RtpEpTTDzvKWWPBugh427BTXEJCxPe7r1HirnqEewiPwqxw9ZA8LAJvDFRa13coswoj4rGafQ9M7Cz4LyyYmZH9khipHWzW62JtPKJGHZKiKhC1zL1jpHuRAv22n8rhFWs867ufrzQ9ceSp8anbaiZxwDNtZpjCWexSenVFVNoDFVrxJWowHbPcPmsobYkiFZCwo5dXFQt1J2qz88nZcsxdqyLAAn1ELGsdpx9Eo6Yy1YLpNygxAvFr571ajQzLGqcTV5SKmY6McXvxyf1UVeiETczQBFmBCz9DiQ5doFRgQ7C77cWbFMEWPQTaPgi2zrqUwPo679DwQckNgvgqp3ncyCUrSfmAbWF9NcVrfAD9nrRuADKK4mSR1PnftpsxArA6XShdbBgSvwqdjhvP2DR3cdZbLv5YTL3YbQjGymgzx9n6HNjxpwmdMLMWD81SgHEC8Kq3nqWJ8ZtsRZnXCkovfQmsu5mfBA5s8eF6L7d3SGfjtLjm2fgKq5BzfJoH92FJaB7Px9QA8aFyPQN7nfr9DdaaTXJg8G32KjizLAScqPJHVhKwEiR813k3tWH9eGi83aJqS4u2KsqrDUHxEzwHVPeLS7fNveXaL8iz3NU",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "6d8799016c00c858e9baf0321640948e928f7bd8f873415cda9536bd7909497b",
      "mainChain": true
    },
    {
      "boxId": "6bd0474db5f587d5c76b4f95e26228ad668b0a608e0b7461d303d93f49986754",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 14423000000,
      "index": 9,
      "globalIndex": 19202859,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "42gNKewDz89wkqCb8VJvPNFx7G54mjCkxxkKB7wGggb8oko7kY2hxBSvBP5viG5huFhbjacxeuNCCAMTSGTwRwQDkTdXY3gGLnW6K7jznbsM4hKuGs3PVuNUSovQWNhwjEUXTWkdSFc1Uj1ewCpyiZjN8zHAFpjEBhfbhaUDcHvkzamKf2xAdhC8AEXKXawVz9HwpsYvqapTKJj1oF1M82oS1F3ApxMjm33CYVeCWFUYvH95QxZHfK8magXnLhL1t5QdVPSQjad2XWc1wRXqNeGzDNAmKqpXjRAcnCF1wGQAcXhzEzfoJL5nzzmkS4wxMkbck5AHmGjqCfP8XEwD2beh2xSccKqF6q6WhSrTLHdRwTuyr1pbvxUsGd3FTip24nnGXpb8PmuHX6EcP8mJ4igjDZ9Hx9SXoNM1NosW2RtpEpTTDzvKWWPBugh427BTXEJCxPe7r1HirnqEewiPwqxw9ZA8LAJvDFRa13coswoj4rGafQ9M7Cz4LyyYmZH9khipHWzW62JtPKJGHZKiKhC1zL1jpHuRAv22n8rhFWs867ufrzQ9ceSp8anbaiZxwDNtZpjCWexSenVFVNoDFVrxJWowHbPcPmsobYkiFZCwo5dXFQt1J2qz88nZcsxdqyLAAn1ELGsdpx9Eo6Yy1YLpNygxAvFr571ajQzLGqcTV5SKmY6McXvxyf1UVeiETczQBFmBCz9DiQ5doFRgQ7C77cWbFMEWPQTaPgi2zrqUwPo679DwQckNgvgqp3ncyCUrSfmAbWF9NcVrfAD9nrRuADKK4mSR1PnftpsxArA6XShdbBgSvwqdjhvP2DR3cdZbLv5YTL3YbQjGymgzx9n6HNjxpwmdMLMWD81SgHEC8Kq3nqWJ8ZtsRZnXCkovfQmsu5mfBA5s8eF6L7d3SGfjtLjm2fgKq5BzfJoH92FJaB7Px9QA8aFyPQN7nfr9DdaaTXJg8G32KjizLAScqPJHVhKwEiR813k3tWH9eGi83aJqS4u2KsqrDUHxEzwHVPeLS7fNveXaL8iz3NU",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "a5c8c3567ee5fee3dd638eceecac651283d04d48937d9bbe1a994b18bea114cb",
      "mainChain": true
    },
    {
      "boxId": "bf1e382f9ed4ac54f5f08ddd2f39f34fe7a5757653620c4a17c85b31e707ab06",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 25127000000,
      "index": 10,
      "globalIndex": 19202860,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "0cfcd1c0226acc5b80ea308380f0adbf95624ec1c6cff0122a4850cb6c991cc5",
      "mainChain": true
    },
    {
      "boxId": "38f741c0820799436be526728192e39cf907016589666616302986737356f08e",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 21445000000,
      "index": 11,
      "globalIndex": 19202861,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "c63f09df1f08f1558260139c3aa66d546970a24248404f4cafc1fd6ad9c6df18",
      "mainChain": true
    },
    {
      "boxId": "34e2da6b1aec9e5273af72d1069c9b8db4d8585a28445dac893006b5b1f37d60",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 18424000000,
      "index": 12,
      "globalIndex": 19202862,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "42gNKewDz89wkqCb8VJvPNFx7G54mjCkxxkKB7wGggb8oko7kY2hxBSvBP5viG5huFhbjacxeuNCCAMTSGTwRwQDkTdXY3gGLnW6K7jznbsM4hKuGs3PVuNUSovQWNhwjEUXTWkdSFc1Uj1ewCpyiZjN8zHAFpjEBhfbhaUDcHvkzamKf2xAdhC8AEXKXawVz9HwpsYvqapTKJj1oF1M82oS1F3ApxMjm33CYVeCWFUYvH95QxZHfK8magXnLhL1t5QdVPSQjad2XWc1wRXqNeGzDNAmKqpXjRAcnCF1wGQAcXhzEzfoJL5nzzmkS4wxMkbck5AHmGjqCfP8XEwD2beh2xSccKqF6q6WhSrTLHdRwTuyr1pbvxUsGd3FTip24nnGXpb8PmuHX6EcP8mJ4igjDZ9Hx9SXoNM1NosW2RtpEpTTDzvKWWPBugh427BTXEJCxPe7r1HirnqEewiPwqxw9ZA8LAJvDFRa13coswoj4rGafQ9M7Cz4LyyYmZH9khipHWzW62JtPKJGHZKiKhC1zL1jpHuRAv22n8rhFWs867ufrzQ9ceSp8anbaiZxwDNtZpjCWexSenVFVNoDFVrxJWowHbPcPmsobYkiFZCwo5dXFQt1J2qz88nZcsxdqyLAAn1ELGsdpx9Eo6Yy1YLpNygxAvFr571ajQzLGqcTV5SKmY6McXvxyf1UVeiETczQBFmBCz9DiQ5doFRgQ7C77cWbFMEWPQTaPgi2zrqUwPo679DwQckNgvgqp3ncyCUrSfmAbWF9NcVrfAD9nrRuADKK4mSR1PnftpsxArA6XShdbBgSvwqdjhvP2DR3cdZbLv5YTL3YbQjGymgzx9n6HNjxpwmdMLMWD81SgHEC8Kq3nqWJ8ZtsRZnXCkovfQmsu5mfBA5s8eF6L7d3SGfjtLjm2fgKq5BzfJoH92FJaB7Px9QA8aFyPQN7nfr9DdaaTXJg8G32KjizLAScqPJHVhKwEiR813k3tWH9eGi83aJqS4u2KsqrDUHxEzwHVPeLS7fNveXaL8iz3NU",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "deed8923ed5fe81fce761444523489295ca4963d5e812a07c609e155787791c5",
      "mainChain": true
    },
    {
      "boxId": "f0b351d13de91c943db4ee84d48e1ca80d4ecea6bad3e2bf0fa2723bb10e9732",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 10623000000,
      "index": 13,
      "globalIndex": 19202863,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "3bca6f7ba1dcfa6c8a0a4903ef5233443d96ea5f5ec06a85313b3b0aaac60e47",
      "mainChain": true
    },
    {
      "boxId": "048fc8f5b3766cf8f807808f5586252be85a508f864c98cd9c61038623d16654",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 4139000000,
      "index": 14,
      "globalIndex": 19202864,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "b441c482fdc4886463d760bff88d34bc1938c876393ff277503e55fc8202f636",
      "mainChain": true
    },
    {
      "boxId": "f3bc23ee03624680ad19d5579cc0b04b322c64f9219c2d16c678e9d793143e15",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 3426000000,
      "index": 15,
      "globalIndex": 19202865,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "6d38246a26ca33d30f12d58e914887b2b6092a7f2f5d5fa8731c664c64918b0c",
      "mainChain": true
    },
    {
      "boxId": "c70d78f510f074815c241ba53b647585ec3a3c088939d591d2de19d5c90bfeb8",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 4471000000,
      "index": 16,
      "globalIndex": 19202866,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "1cd74b191bbdc211fcdee16fec665acea70878c7601ae24e75b8f98a1c5ad144",
      "mainChain": true
    },
    {
      "boxId": "3b17915d5c429ff7a3504d05f580611349cf9f75fe5e4f0162360415f6d1c8b2",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 2480000000,
      "index": 17,
      "globalIndex": 19202867,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "42gNKewDz89wkqCb8VJvPNFx7G54mjCkxxkKB7wGggb8oko7kY2hxBSvBP5viG5huFhbjacxeuNCCAMTSGTwRwQDkTdXY3gGLnW6K7jznbsM4hKuGs3PVuNUSovQWNhwjEUXTWkdSFc1Uj1ewCpyiZjN8zHAFpjEBhfbhaUDcHvkzamKf2xAdhC8AEXKXawVz9HwpsYvqapTKJj1oF1M82oS1F3ApxMjm33CYVeCWFUYvH95QxZHfK8magXnLhL1t5QdVPSQjad2XWc1wRXqNeGzDNAmKqpXjRAcnCF1wGQAcXhzEzfoJL5nzzmkS4wxMkbck5AHmGjqCfP8XEwD2beh2xSccKqF6q6WhSrTLHdRwTuyr1pbvxUsGd3FTip24nnGXpb8PmuHX6EcP8mJ4igjDZ9Hx9SXoNM1NosW2RtpEpTTDzvKWWPBugh427BTXEJCxPe7r1HirnqEewiPwqxw9ZA8LAJvDFRa13coswoj4rGafQ9M7Cz4LyyYmZH9khipHWzW62JtPKJGHZKiKhC1zL1jpHuRAv22n8rhFWs867ufrzQ9ceSp8anbaiZxwDNtZpjCWexSenVFVNoDFVrxJWowHbPcPmsobYkiFZCwo5dXFQt1J2qz88nZcsxdqyLAAn1ELGsdpx9Eo6Yy1YLpNygxAvFr571ajQzLGqcTV5SKmY6McXvxyf1UVeiETczQBFmBCz9DiQ5doFRgQ7C77cWbFMEWPQTaPgi2zrqUwPo679DwQckNgvgqp3ncyCUrSfmAbWF9NcVrfAD9nrRuADKK4mSR1PnftpsxArA6XShdbBgSvwqdjhvP2DR3cdZbLv5YTL3YbQjGymgzx9n6HNjxpwmdMLMWD81SgHEC8Kq3nqWJ8ZtsRZnXCkovfQmsu5mfBA5s8eF6L7d3SGfjtLjm2fgKq5BzfJoH92FJaB7Px9QA8aFyPQN7nfr9DdaaTXJg8G32KjizLAScqPJHVhKwEiR813k3tWH9eGi83aJqS4u2KsqrDUHxEzwHVPeLS7fNveXaL8iz3NU",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "f8b703b24b6e76558820dcba5d70dc28fce698b4e1b366aab210ff5c3c41b5b1",
      "mainChain": true
    },
    {
      "boxId": "7d5dd73c0305b05e0c826a3b361cd734e8577e01b797eb2657d376193e180aeb",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 4378000000,
      "index": 18,
      "globalIndex": 19202868,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "f09e078afb12704951ede2c28fe43576c0099bc701744a7bb8bf0977fde9dfdd",
      "mainChain": true
    },
    {
      "boxId": "398e0d97d5679cf87cd7f04fc976dd6d77c388fc4327aeee08f2b4e6c2d76e84",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 237000000,
      "index": 19,
      "globalIndex": 19202869,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(67,66,-76,-91,-126,-63,-118,14,119,33,-113,26,-94,-34,70,74,-31,-76,106,-42,108,48,-85,-58,50,-114,52,-98,98,78,-112,71)\n3: 1\n4: 0\n5: 2\n6: 1\n7: 0\n8: 2\n9: 100000\n10: 1000000\n11: 2\n12: 1\n13: 0\n14: 2\n15: 0\n16: 1000000\n17: 0\n18: 0\n19: 1000000\n20: 0\n21: 1\n22: 0\n23: 2\n24: -1\n25: 2\n26: -1\n27: 0\n28: false\n29: -1\n30: -1\n31: 0\n32: false\n33: -1\n34: 0\n35: 0\n36: -1\n37: false\n38: true\n39: 0\n40: true\n41: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  sigmaProp(if (box1.tokens(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2)) {(\n      val coll3 = INPUTS(placeholder[Int](3)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll4 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l5 = INPUTS.filter({(box5: Box) => box5.propositionBytes == coll2 }).fold(placeholder[Long](4), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - coll4.filter({(tuple5: (Coll[Byte], Coll[Long])) =>\n          val coll7 = tuple5._2\n          coll7(placeholder[Int](5)) < coll7(placeholder[Int](6))\n        }).fold(placeholder[Long](7), {(tuple5: (Long, (Coll[Byte], Coll[Long]))) => tuple5._1 + tuple5._2._2(placeholder[Int](8)) })\n      val coll6 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple6: (Coll[Byte], Int)) =>\n          val l8 = tuple6._2.toLong * l5 / placeholder[Long](9)\n          (tuple6._1, l8 - l8 % placeholder[Long](10))\n        })\n      val coll7 = OUTPUTS.map({(box7: Box) => box7.propositionBytes })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.value })\n      val l9 = coll3.filter({(tuple9: (Coll[Byte], Coll[Long])) =>\n          val coll11 = tuple9._2\n          coll11(placeholder[Int](11)) < coll11(placeholder[Int](12))\n        }).fold(placeholder[Long](13), {(tuple9: (Long, (Coll[Byte], Coll[Long]))) => tuple9._1 + tuple9._2._2(placeholder[Int](14)) })\n      (coll3.forall({(tuple10: (Coll[Byte], Coll[Long])) =>\n            val coll12 = tuple10._1\n            val i13 = coll4.map({(tuple13: (Coll[Byte], Coll[Long])) => tuple13._1 }).indexOf(coll12, placeholder[Int](15))\n            val coll14 = tuple10._2\n            val l15 = {(l15: Long) =>\n              val l17 = coll6.fold(l5, {(tuple17: (Long, (Coll[Byte], Long))) => tuple17._1 - tuple17._2._2 }) - placeholder[Long](16) * coll3.size.toLong * l15 / coll3.fold(placeholder[Long](17), {(tuple17: (Long, (Coll[Byte], Coll[Long]))) => tuple17._1 + tuple17._2._2(placeholder[Int](18)) })\n              l17 - l17 % placeholder[Long](19)\n            }(coll14(placeholder[Int](20)))\n            val l16 = coll14(placeholder[Int](21))\n            val i17 = coll7.indexOf(coll12, placeholder[Int](22))\n            val l18 = coll14(placeholder[Int](23))\n            if (i13 != placeholder[Int](24)) {(\n              val l19 = coll4.map({(tuple19: (Coll[Byte], Coll[Long])) => tuple19._2 })(i13)(placeholder[Int](25)) + l15\n              if (l19 >= l16) { if (i17 != placeholder[Int](26)) { (coll8(i17) == l19) && (l18 == placeholder[Long](27)) } else { placeholder[Boolean](28) } } else { (i17 == placeholder[Int](29)) && (l18 == l19) }\n            )} else { if (l15 >= l16) { if (i17 != placeholder[Int](30)) { (coll8(i17) == l15) && (l18 == placeholder[Long](31)) } else { placeholder[Boolean](32) } } else { (i17 == placeholder[Int](33)) && (l18 == l15) } }\n          }) && coll6.forall({(tuple10: (Coll[Byte], Long)) =>\n            val l12 = tuple10._2\n            if (l12 > placeholder[Long](34)) {(\n              val i13 = coll7.indexOf(tuple10._1, placeholder[Int](35))\n              if (i13 != placeholder[Int](36)) { OUTPUTS(i13).value == l12 } else { placeholder[Boolean](37) }\n            )} else { placeholder[Boolean](38) }\n          })) && if (l9 > placeholder[Long](39)) { OUTPUTS.exists({(box10: Box) => (box10.value == l9) && (box10.propositionBytes == coll2) }) } else { placeholder[Boolean](40) }\n    )} else { placeholder[Boolean](41) })\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "3741f517a28db542d591439d6923b016f33c492769bf8dfef363dcb2538195f7",
      "mainChain": true
    },
    {
      "boxId": "08f5bb929242f1d388a26c06a977a34872d2da0a5fb83da9604ae129eaa1894b",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 2400000000,
      "index": 20,
      "globalIndex": 19202870,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6d9d81,e53882,...)))}",
      "address": "9fMLVMsG8U1PHqHZ8JDQ4Yn6q5wPdruVn2ctwqaqCXVLfWxfc3Q",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "3f8467d993a6970fef67bc5c5e49fb02791f76b741d890eaafb141cae460f708",
      "mainChain": true
    },
    {
      "boxId": "4cbe6b2f71741d35265db0475b80a2c4a4a9d5b747caf9c3dc109865ddc3526e",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 72000000000,
      "index": 21,
      "globalIndex": 19202871,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "193c03040004000e20d3feeffa87f2df63a7a15b4905e618ae3ce4c69a7975f171bd314d0b877927b8d1938cb2e4c6b2a5730000020c4d0e730100017302",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-45,-2,-17,-6,-121,-14,-33,99,-89,-95,91,73,5,-26,24,-82,60,-28,-58,-102,121,117,-15,113,-67,49,77,11,-121,121,39,-72)",
      "ergoTreeScript": "{sigmaProp(OUTPUTS(placeholder[Int](0)).R2[Coll[(Coll[Byte], Long)]].get(placeholder[Int](1))._1 == placeholder[Coll[Byte]](2))}",
      "address": "6KxusedL87PBibr1t1f4ggzAyTAmWEPqSpqXbkdoybNwHVw5Nb7cUESBmQw5XK8TyvbQiueyqkR9XMNaUgpWx3jT54p",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "124ca4064bfd0bab84966126e00cd37aa04db6828052cae747bce57ec5473d00",
      "mainChain": true
    },
    {
      "boxId": "7f349ba69391b3586051da5be15457f519b1c04f26886630e0a9ffbf6fa853c4",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 120000000,
      "index": 22,
      "globalIndex": 19202872,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
      "ergoTreeScript": "{sigmaProp(\n  allOf(\n    Coll[Boolean](\n      HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n        placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n      ), OUTPUTS.size == placeholder[Int](4)\n    )\n  )\n)}",
      "address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "4d0f703a1ab8e07de8d6905f73c90215ececa22c14dd53401803e9bf689adf5f",
      "mainChain": true
    },
    {
      "boxId": "4576c422b287598cf1031bac3c26c50c187dc2e710fcd9640254d5d4884ffcea",
      "transactionId": "00f31bb6961178de7fe08a79e14d2fa83c14c55c77dbfbad349777b35985e1b5",
      "blockId": "6cfefa02aa0d12fdec38e4df29b6ec35fbc344342051f34aa84338ce12db7a26",
      "value": 47831000000,
      "index": 23,
      "globalIndex": 19202873,
      "creationHeight": 796212,
      "settlementHeight": 796214,
      "ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
      "address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "d1287f40cd48df6af1ca6dff80c4c232b539ab24cd93f49ec66a9f09032b587d",
      "mainChain": true
    }
  ],
  "size": 16203,
  "isUnconfirmed": false
}