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Transaction

6/12/2022 01:53:50 AM
ID: 8161f2c2ff...da0b
Inputs (3)
#0
452e3701605d...1cd9
Spent
Address:
9gUibHoaeiwK...cGoU
Output transaction:
d07cb9f56a52...1c0e
Settlement height:
770,037
Value:
56.96 ERG
#1
2d006ad7a65f...cfa8
Spent
Address:
9gUibHoaeiwK...cGoU
Output transaction:
a4e23a021b5e...d9e2
Settlement height:
769,688
Value:
6.11 ERG
Tokens:
Loading assets...
#2
594c2c1849ca...8975
Spent
Address:
9gUibHoaeiwK...cGoU
Output transaction:
e587cd97c12a...3bd7
Settlement height:
765,208
Value:
3.63 ERG
Outputs (22)
#0
2e1bf24fa084...d837
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
406d228f8d10...8a26
Settlement height:
770,060
Value:
6.09 ERG
#1
8f7abc92a59e...3935
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
c0b76c0d58f0...f6b6
Settlement height:
770,060
Value:
0.794 ERG
#2
ac3ef26cf7c1...bbb1
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
3b48fed66546...3d44
Settlement height:
770,060
Value:
4.39 ERG
#3
3023ad4c050a...ee87
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
ac401fca84c3...4521
Settlement height:
770,060
Value:
2.06 ERG
#4
4e6906f44877...7280
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
c021b7965919...dae9
Settlement height:
770,060
Value:
3.59 ERG
#5
a7b88ad129c7...0564
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
61c640abb9d2...4454
Settlement height:
770,060
Value:
5.66 ERG
#6
7b6847378418...c151
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
ced56b99e00d...82e9
Settlement height:
770,060
Value:
2.65 ERG
#7
d03b77824944...fb0a
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
2b04f5315923...5aa3
Settlement height:
770,060
Value:
3.13 ERG
#8
ed593c4c3118...5158
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
3a319cf5cbc7...5be0
Settlement height:
770,060
Value:
3.98 ERG
#9
984088d0370c...4e93
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
52c6def1abe2...1e5e
Settlement height:
770,060
Value:
1.93 ERG
#10
d6c1d511b63e...5d98
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
f47daa266f14...c2a4
Settlement height:
770,060
Value:
8.93 ERG
#11
235cef016deb...179e
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
437920b4b9e3...1fdd
Settlement height:
770,060
Value:
0.465 ERG
#12
4e05b1e233e6...2816
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
e7a42374ed19...4cd9
Settlement height:
770,060
Value:
3.38 ERG
#13
ec6bd2632c9a...b790
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
b5eef3216c95...a993
Settlement height:
770,060
Value:
2.66 ERG
#14
936859570b79...5021
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
c2b8d7021c64...7dc0
Settlement height:
770,060
Value:
3.71 ERG
#15
e7d12906eb69...cd38
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
8cebba9dbaa7...8a39
Settlement height:
770,060
Value:
1.55 ERG
#16
00e44bda7ae3...e0b9
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
05c479e78144...8c3d
Settlement height:
770,060
Value:
4.57 ERG
#17
957feb7b3379...8ea0
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
2016e455b856...65b2
Settlement height:
770,060
Value:
1.97 ERG
#18
5090df8f7e91...ac8d
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
92cbe495af31...b339
Settlement height:
770,060
Value:
0.87 ERG
#19
5e9782ada477...dcd3
Spent
Address:
9fMLVMsG8U1P...fc3Q
Spent in transaction:
07a17126226e...c48e
Settlement height:
770,060
Value:
0.63 ERG
#20
98577cfac97e...b891
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
129d77949121...e5f6
Settlement height:
770,060
Value:
0.095 ERG
#21
53c5bb5c3b8a...c802
Spent
Address:
9gUibHoaeiwK...cGoU
Spent in transaction:
cfb5ab6b560f...1f45
Settlement height:
770,060
Value:
3.61 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 14.92 KB
Received time: 6/12/2022 01:53:50 AM
Included in blocks: 770,060
Confirmations: 986,019
Total coins transferred: 66.7 ERG
Fees: 0.095 ERG
Fees per byte: 0.00000622 ERG
Raw Transaction Data
{
  "id": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
  "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
  "inclusionHeight": 770060,
  "timestamp": 1654998830403,
  "index": 11,
  "globalIndex": 3342886,
  "numConfirmations": 986019,
  "inputs": [
    {
      "boxId": "452e3701605dd182804d3d4e3b7d733da97a217b69ef441a54b2abeb0a431cd9",
      "value": 56958076000,
      "index": 0,
      "spendingProof": "f8d2b1ba2cc7afcf82eb6ce761e4820192d987625371ca6530758847efe28bb8c5be720628883de9b4c30e528cbd291d936915d5b2d56ce2",
      "outputBlockId": "2b13d43a902e6c3e2d2dd8c151dbd6b28cf92f1ee6996c8f641002aea294cd5d",
      "outputTransactionId": "d07cb9f56a521bc28291216446e730647c59f186a8ba19f981632c3bd95b1c0e",
      "outputIndex": 3,
      "outputGlobalIndex": 17762427,
      "outputCreatedAt": 770035,
      "outputSettledAt": 770037,
      "ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
      "address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "2d006ad7a65f4d6a5b01a736d3d7ec1adb0560f2a068b90a7ac34a381984cfa8",
      "value": 6108946379,
      "index": 1,
      "spendingProof": "a8b2972ca6afc10604079b5f3456cf322160d40e2aa288204c3cfbf6de5b41405ef19b3c40521cb5905c4cb08233e7e93c8745d714e6da44",
      "outputBlockId": "b1115fa4bae29dc38468419a105c0d6f91bbb4366cb5eb1404a767c3b92850b4",
      "outputTransactionId": "a4e23a021b5e8f036baf6a0091b3a23333240ea56b530fb44c77bceab388d9e2",
      "outputIndex": 22,
      "outputGlobalIndex": 17742109,
      "outputCreatedAt": 769686,
      "outputSettledAt": 769688,
      "ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
      "address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
      "assets": [
        {
          "tokenId": "4f5c05967a2a68d5fe0cdd7a688289f5b1a8aef7d24cab71c20ab8896068e0a8",
          "index": 0,
          "amount": 444146201000000,
          "name": "GetBlok.io Soft-Fork Governance Token",
          "decimals": 9,
          "type": "EIP-004"
        },
        {
          "tokenId": "0a89e6fea21dfe8719064f141581f9f707307cb8cdd4e6b175ad4f6bda44f667",
          "index": 1,
          "amount": 1000,
          "name": "Useless",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "48de50eeffaad34015af6b517ea989bac35ff012fe5a37be61ab3603ea68cdb8",
          "index": 2,
          "amount": 1000000,
          "name": "GetBlok.io Token v1.0",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0779ec04f2fae64e87418a1ad917639d4668f78484f45df962b0dec14a2591d2",
          "index": 3,
          "amount": 2000,
          "name": "Mi Goreng ",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "a00e5ff4d907b81b3c7cb1253ee649bd454d1b72c381e0e49dfc9b3e3ae5c145",
          "index": 4,
          "amount": 100000,
          "name": "Fed Coin",
          "decimals": 2,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "594c2c1849ca83d1a8f85e1b66f51c0c0eea83d19ff25f17dd79a7e89ebe8975",
      "value": 3631000000,
      "index": 2,
      "spendingProof": "45bff825706c9faab321e53b137324ac2318fc0f3e2e56c0a54b89ea3aff3c469a690565cdeb757fb11b2a5020771b7e61ff6d49fdd5cd72",
      "outputBlockId": "00feaa01d1308085550957c9e929e611e0002381f6ad7b263d0ab7d1f826923d",
      "outputTransactionId": "e587cd97c12a8a85a5b217c20980ca4a1936e7bc0de1f1e36ebe8aa7aabd3bd7",
      "outputIndex": 6,
      "outputGlobalIndex": 17507873,
      "outputCreatedAt": 765206,
      "outputSettledAt": 765208,
      "ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
      "address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "2e1bf24fa08406e76904ef7dab898c49d05a5bde4f6cf063a9af2a8ad997d837",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 6086000000,
      "index": 0,
      "globalIndex": 17764048,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "406d228f8d105078e2748ebe210ef35eebfb061c087ab10809256ebe60a28a26",
      "mainChain": true
    },
    {
      "boxId": "8f7abc92a59ed522dd2eb863488731d50601e39e924e701253ea807bbc7f3935",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 794000000,
      "index": 1,
      "globalIndex": 17764049,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "c0b76c0d58f018e72eb06b738ee6c0f34ef35218c7f5806ae0d128637f82f6b6",
      "mainChain": true
    },
    {
      "boxId": "ac3ef26cf7c1be160a4b32813509e769b605a50fd9e516d18c6c8d924185bbb1",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 4389000000,
      "index": 2,
      "globalIndex": 17764050,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "3b48fed66546f43d74d7d1c8ad91f97647a5ec429cd0c766bfabb473d4f73d44",
      "mainChain": true
    },
    {
      "boxId": "3023ad4c050aab5edd52c8d0bb9a8655eb493650b62d65b8a890740b23bcee87",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 2064000000,
      "index": 3,
      "globalIndex": 17764051,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "ac401fca84c3ca99f32fc9d73243b9473ebccedf249e17272ffa0e0ed3a74521",
      "mainChain": true
    },
    {
      "boxId": "4e6906f4487709feff8b53b4baef7d10e41336dab71b7fc5380b4c7b0e147280",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 3587000000,
      "index": 4,
      "globalIndex": 17764052,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "c021b79659199d3f253e3b41e60ebe61d87965e0d30325c9d0178759cb38dae9",
      "mainChain": true
    },
    {
      "boxId": "a7b88ad129c7397a216ece1b72b60256868963dbcd4950ee0149dc8e7ecf0564",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 5657000000,
      "index": 5,
      "globalIndex": 17764053,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "42gNKewDz89wkqCb8VJvPNFx7G54mjCkxxkKB7wGggb8oko7kY2hxBSvBP5viG5huFhbjacxeuNCCAMTSGTwRwQDkTdXY3gGLnW6K7jznbsM4hKuGs3PVuNUSovQWNhwjEUXTWkdSFc1Uj1ewCpyiZjN8zHAFpjEBhfbhaUDcHvkzamKf2xAdhC8AEXKXawVz9HwpsYvqapTKJj1oF1M82oS1F3ApxMjm33CYVeCWFUYvH95QxZHfK8magXnLhL1t5QdVPSQjad2XWc1wRXqNeGzDNAmKqpXjRAcnCF1wGQAcXhzEzfoJL5nzzmkS4wxMkbck5AHmGjqCfP8XEwD2beh2xSccKqF6q6WhSrTLHdRwTuyr1pbvxUsGd3FTip24nnGXpb8PmuHX6EcP8mJ4igjDZ9Hx9SXoNM1NosW2RtpEpTTDzvKWWPBugh427BTXEJCxPe7r1HirnqEewiPwqxw9ZA8LAJvDFRa13coswoj4rGafQ9M7Cz4LyyYmZH9khipHWzW62JtPKJGHZKiKhC1zL1jpHuRAv22n8rhFWs867ufrzQ9ceSp8anbaiZxwDNtZpjCWexSenVFVNoDFVrxJWowHbPcPmsobYkiFZCwo5dXFQt1J2qz88nZcsxdqyLAAn1ELGsdpx9Eo6Yy1YLpNygxAvFr571ajQzLGqcTV5SKmY6McXvxyf1UVeiETczQBFmBCz9DiQ5doFRgQ7C77cWbFMEWPQTaPgi2zrqUwPo679DwQckNgvgqp3ncyCUrSfmAbWF9NcVrfAD9nrRuADKK4mSR1PnftpsxArA6XShdbBgSvwqdjhvP2DR3cdZbLv5YTL3YbQjGymgzx9n6HNjxpwmdMLMWD81SgHEC8Kq3nqWJ8ZtsRZnXCkovfQmsu5mfBA5s8eF6L7d3SGfjtLjm2fgKq5BzfJoH92FJaB7Px9QA8aFyPQN7nfr9DdaaTXJg8G32KjizLAScqPJHVhKwEiR813k3tWH9eGi83aJqS4u2KsqrDUHxEzwHVPeLS7fNveXaL8iz3NU",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "61c640abb9d2d96a9e0057566cc3d164a5a45c6e4b58e4c2abea76d27a924454",
      "mainChain": true
    },
    {
      "boxId": "7b6847378418c11184b203aa7016a1ef59b9efc359bc3e9d2244574c90bbc151",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 2653000000,
      "index": 6,
      "globalIndex": 17764054,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "ced56b99e00d45075ebfe29c619e919ce9a64312ecff0f8eec2e71dac81082e9",
      "mainChain": true
    },
    {
      "boxId": "d03b778249449ad989c51b6c41938901ea5efe1a26a3127857b8c89f4685fb0a",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 3129000000,
      "index": 7,
      "globalIndex": 17764055,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "2b04f5315923763605717286b46a820475c4c266bddfbf3f55192296c2b75aa3",
      "mainChain": true
    },
    {
      "boxId": "ed593c4c3118ae8b6b13e24a4ff4c93fe34df0b29cebdb5f47cdd326964c5158",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 3975000000,
      "index": 8,
      "globalIndex": 17764056,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "3a319cf5cbc77add5e7a6bc16e67f359db3a2096af623622740168aac4535be0",
      "mainChain": true
    },
    {
      "boxId": "984088d0370c8a5c2d91d92fd6bb7c51e410927a0d14cfe71f19c3a544ff4e93",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 1932000000,
      "index": 9,
      "globalIndex": 17764057,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "52c6def1abe2f70402fd63b58ebd2f1c2db4f7faea6f8321489f854625101e5e",
      "mainChain": true
    },
    {
      "boxId": "d6c1d511b63eba8174cc6f6bc23697bb895a80da7b08cd4ec9472d22c5fd5d98",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 8930000000,
      "index": 10,
      "globalIndex": 17764058,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "f47daa266f141667ad6e97691d105712859cd38739520199bacc94ffac27c2a4",
      "mainChain": true
    },
    {
      "boxId": "235cef016debfcc16dad767f0a018881f93fc557f011e2e4fdb33e585122179e",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 465000000,
      "index": 11,
      "globalIndex": 17764059,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "437920b4b9e30d402fb5e39621e5140d6db97f8c39a84b0f37f425622d9d1fdd",
      "mainChain": true
    },
    {
      "boxId": "4e05b1e233e6b0e7d6b7ea5ccb592db5819b1d81050a0484c0831d43cd732816",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 3376000000,
      "index": 12,
      "globalIndex": 17764060,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "e7a42374ed19ad7436076ed6b5dd7082c65a34f2db544b202d54631ad82b4cd9",
      "mainChain": true
    },
    {
      "boxId": "ec6bd2632c9a41c58212948eb685b7e082ce15617c29f4e9156be16f25e9b790",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 2655000000,
      "index": 13,
      "globalIndex": 17764061,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "b5eef3216c95cc3bb3903ccdbe3f638aa07964fbe42c0180e5dfccf072b3a993",
      "mainChain": true
    },
    {
      "boxId": "936859570b794cac7603cad138fe3008ded4c0d2c006a97451b19c9a703c5021",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 3713000000,
      "index": 14,
      "globalIndex": 17764062,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "c2b8d7021c6424bbbdfefd45179e37e4852697a33f8419e31f9cda70680d7dc0",
      "mainChain": true
    },
    {
      "boxId": "e7d12906eb69dd535da6dd6e5bc15199475a16b10c8eac5995c3aa4b8676cd38",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 1551000000,
      "index": 15,
      "globalIndex": 17764063,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "8cebba9dbaa7581418a3222f55b71db55c4fb9447ec417431519620b35958a39",
      "mainChain": true
    },
    {
      "boxId": "00e44bda7ae392b82344579176e79aa51bd5c780bdeac73e5d419650fb5ce0b9",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 4568000000,
      "index": 16,
      "globalIndex": 17764064,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "05c479e78144134b9ff987e3af07b71bc6e201aab18927e8a2a003ac2dea8c3d",
      "mainChain": true
    },
    {
      "boxId": "957feb7b33797ea527f436a1c5e84fc7a988745e63ef4fe2c56ea81fbd868ea0",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 1967000000,
      "index": 17,
      "globalIndex": 17764065,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "2016e455b856c2830f02f9a1a1f3b8cc7ece2b0ba0db6b7ebddc77908f0865b2",
      "mainChain": true
    },
    {
      "boxId": "5090df8f7e9103589738e21dfb3bb3b21261494b39a432f1b8734f74aa58ac8d",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 870000000,
      "index": 18,
      "globalIndex": 17764066,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "92cbe495af31b783e68490450e8969c42f7c94d652b6a56a3d65159f89adb339",
      "mainChain": true
    },
    {
      "boxId": "5e9782ada477e5d5412a7dc75630f5de13407396b90a3b636d9a354df0eedcd3",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 630000000,
      "index": 19,
      "globalIndex": 17764067,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "ergoTree": "0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6d9d81,e53882,...)))}",
      "address": "9fMLVMsG8U1PHqHZ8JDQ4Yn6q5wPdruVn2ctwqaqCXVLfWxfc3Q",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "07a17126226efb8e26929d19c8d097a37519070356c677c39836eed648acc48e",
      "mainChain": true
    },
    {
      "boxId": "98577cfac97e96c2cdcf2cf005452473a6975b281ed3219b31c32b5868fdb891",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 95000000,
      "index": 20,
      "globalIndex": 17764068,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "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": "129d77949121e19cec11a95f6608cb5d3aa23c9a0ff4c973e02aab9dc0f0e5f6",
      "mainChain": true
    },
    {
      "boxId": "53c5bb5c3b8aa27ab1f42bbf07f373709339ed839faf79c718b2994bf353c802",
      "transactionId": "8161f2c2ff2fcfae88cad47145c8d11e608d155671543f1fb7fa31cccd96da0b",
      "blockId": "11f490f575fe40a4672c4d2fe9ac4eb3920c8256e05e179e34334855b4778c04",
      "value": 3612022379,
      "index": 21,
      "globalIndex": 17764069,
      "creationHeight": 770058,
      "settlementHeight": 770060,
      "ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
      "address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
      "assets": [
        {
          "tokenId": "4f5c05967a2a68d5fe0cdd7a688289f5b1a8aef7d24cab71c20ab8896068e0a8",
          "index": 0,
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