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Transaction

7/22/2022 12:32:28 AM
ID: 9c9fab7e93...2ba4
Inputs (4)
#0
3a48e02400f0...68e1
Spent
Address:
721jRBm8dr7g...a85D
Output transaction:
de73b5d6a415...6c35
Settlement height:
798,150
Value:
0.001 ERG
Tokens:
Loading assets...
#1
68350434c829...2af8
Spent
Address:
9gUibHoaeiwK...cGoU
Output transaction:
4ac499da1fe0...fc93
Settlement height:
798,589
Value:
0.007 ERG
#2
05e08ab5e947...f828
Spent
Address:
42gNKewDz89w...z3NU
Output transaction:
348ab1426f65...6210
Settlement height:
798,541
Value:
10.29 ERG
#3
17233a98901d...f086
Spent
Address:
42gNKewDz89w...z3NU
Output transaction:
de73b5d6a415...6c35
Settlement height:
798,150
Value:
6.93 ERG
Outputs (12)
#0
d144e43b11c8...38cb
Spent
Address:
721jRBm8dr7g...a85D
Spent in transaction:
55bff6d6bb45...d688
Settlement height:
798,589
Value:
0.001 ERG
Tokens:
Loading assets...
#1
16d542134de3...e490
Spent
Address:
9gBWYc26E9qK...oExz
Spent in transaction:
814ab9aa2507...917b
Settlement height:
798,589
Value:
5.5 ERG
#2
fe03fc52b1f2...8a0b
Unspent
Address:
9hfrYhU4EZpA...xpKg
Settlement height:
798,589
Value:
1.7 ERG
#3
b0b63ec93cfa...6451
Spent
Address:
9hDuehidMCKB...qnCW
Spent in transaction:
e04f6d6cbce3...d172
Settlement height:
798,589
Value:
1.48 ERG
#4
1dcd46952c3c...8a77
Spent
Address:
9f64EewnTEYf...dWjJ
Spent in transaction:
7c3fe54ca562...38f1
Settlement height:
798,589
Value:
4.71 ERG
#5
ef26a3140a12...7346
Spent
Address:
9gZvUjB1BDKo...ePgx
Spent in transaction:
5316679de2f3...9370
Settlement height:
798,589
Value:
1.63 ERG
#6
f593eff183db...d03b
Unspent
Address:
9ea5XC1egwJA...1p8p
Settlement height:
798,589
Value:
0.112 ERG
#7
da84f61c894e...dde3
Spent
Address:
9g9uFXyqXjFT...BmWq
Spent in transaction:
5277e9230245...629b
Settlement height:
798,589
Value:
0.585 ERG
#8
49352c0da9fd...248a
Unspent
Address:
9gymzqfr3Pu6...vzHn
Settlement height:
798,589
Value:
1.36 ERG
#9
a26dbe3d0214...7944
Spent
Address:
9iJQwchH5SRk...nuhx
Spent in transaction:
6b0609f2a391...6678
Settlement height:
798,589
Value:
0.132 ERG
#10
e1fa13ea7030...0026
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
5e4998b83aff...052e
Settlement height:
798,589
Value:
0.016 ERG
#11
f0bc6a31cd69...e8b5
Spent
Address:
9gUibHoaeiwK...cGoU
Spent in transaction:
6c069ffaccd6...0aa5
Settlement height:
798,589
Value:
0.005 ERG
Transaction Details
Status: Confirmed
Size: 1.68 KB
Received time: 7/22/2022 12:32:28 AM
Included in blocks: 798,589
Confirmations: 974,494
Total coins transferred: 17.23 ERG
Fees: 0.016 ERG
Fees per byte: 0.000009297 ERG
Raw Transaction Data
{
  "id": "9c9fab7e93510a2005a9d40935328996531258c6ce5e4d2a73f1b887a4d52ba4",
  "blockId": "a131864157275cedbd9e0704dcf3c41fb2c2d6e6899ae1be1f53e8604f86167f",
  "inclusionHeight": 798589,
  "timestamp": 1658449948158,
  "index": 13,
  "globalIndex": 3588523,
  "numConfirmations": 974494,
  "inputs": [
    {
      "boxId": "3a48e02400f0b0561c173846f774ab6a3332af16ed1b18ce15a7bb731b0a68e1",
      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "277499896520a36171e008d04ad277e5e33477d9c73f391200f4702c78d73d3a",
      "outputTransactionId": "de73b5d6a4151407adad2214b235c6c27c79fc3bf83a3479fa82452f0c1a6c35",
      "outputIndex": 0,
      "outputGlobalIndex": 19295626,
      "outputCreatedAt": 798148,
      "outputSettledAt": 798150,
      "ergoTree": "101404000400040204020100010004020100040204000400050204020404040404000400010001000101d806d601c6a70611d602c6a7071ad60396830501e6c6a7040c3c0e11e6c6a7050c4c0ee67201e6720293b2a4730000a7d604b2a5730100d605b2a4730200d606c672040611957203d1959595ed93c27204c2a795957203aee47202d901070e937207c2b2a4730300730496830401e6c67205040c3c0e11e6c67205050c4c0ee6c672050611e6c67205071a730596830601e6c67204040c3c0e11e6c67204050c4c0ee6c672040611e6c67204071a93c17204c1a793b1db6308720473067307d803d607e47206d608e47201d609b27207730800ededed93b272077309009ab27208730a00730bed9072097ea305917209b27208730c0093b27207730d00b27208730e00938cb2db6308a7730f00018cb2db630872047310000173119683040193e4c67204040c3c0e11e4c67205040c3c0e1193e4c67204050c4c0ee4c67205050c4c0e93e47206e4c67205061193e4c67204071ae4c67205071a7312d17313",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: false\n5: false\n6: 1\n7: false\n8: 1\n9: 0\n10: 0\n11: 1\n12: 1\n13: 2\n14: 2\n15: 0\n16: 0\n17: false\n18: false\n19: true",
      "ergoTreeScript": "{\n  val opt1 = SELF.R6[Coll[Long]]\n  val opt2 = SELF.R7[Coll[Coll[Byte]]]\n  val bool3 = allOf(\n    Coll[Boolean](\n      SELF.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, SELF.R5[Coll[(Coll[Byte], Int)]].isDefined, opt1.isDefined, opt2.isDefined, INPUTS(\n        placeholder[Int](0)\n      ) == SELF\n    )\n  )\n  val box4 = OUTPUTS(placeholder[Int](1))\n  val box5 = INPUTS(placeholder[Int](2))\n  val opt6 = box4.R6[Coll[Long]]\n  if (bool3) {\n    sigmaProp(\n      if (if (if ((box4.propositionBytes == SELF.propositionBytes) && if (if (bool3) {\n        opt2.get.exists({(coll7: Coll[Byte]) => coll7 == INPUTS(placeholder[Int](3)).propositionBytes })\n      } else { placeholder[Boolean](4) }) {\n        allOf(\n          Coll[Boolean](\n            box5.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box5.R5[Coll[(Coll[Byte], Int)]].isDefined, box5.R6[Coll[Long]].isDefined, box5.R7[\n              Coll[Coll[Byte]]\n            ].isDefined\n          )\n        )\n      } else { placeholder[Boolean](5) }) {\n        allOf(\n          Coll[Boolean](\n            box4.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box4.R5[Coll[(Coll[Byte], Int)]].isDefined, box4.R6[Coll[Long]].isDefined, box4.R7[\n              Coll[Coll[Byte]]\n            ].isDefined, box4.value == SELF.value, box4.tokens.size == placeholder[Int](6)\n          )\n        )\n      } else { placeholder[Boolean](7) }) {(\n        val coll7 = opt6.get\n        val coll8 = opt1.get\n        val l9 = coll7(placeholder[Int](8))\n        (\n          (\n            (coll7(placeholder[Int](9)) == coll8(placeholder[Int](10)) + placeholder[Long](11)) && ((l9 <= HEIGHT.toLong) && (l9 > coll8(placeholder[Int](12))))\n          ) && (coll7(placeholder[Int](13)) == coll8(placeholder[Int](14)))\n        ) && (SELF.tokens(placeholder[Int](15))._1 == box4.tokens(placeholder[Int](16))._1)\n      )} else { placeholder[Boolean](17) }) {\n        allOf(\n          Coll[Boolean](\n            box4.R4[Coll[(Coll[Byte], Coll[Long])]].get == box5.R4[Coll[(Coll[Byte], Coll[Long])]].get, box4.R5[Coll[(Coll[Byte], Int)]].get == box5.R5[\n              Coll[(Coll[Byte], Int)]\n            ].get, opt6.get == box5.R6[Coll[Long]].get, box4.R7[Coll[Coll[Byte]]].get == box5.R7[Coll[Coll[Byte]]].get\n          )\n        )\n      } else { placeholder[Boolean](18) }\n    )\n  } else { sigmaProp(placeholder[Boolean](19)) }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "4342b4a582c18a0e77218f1aa2de464ae1b46ad66c30abc6328e349e624e9047",
          "index": 0,
          "amount": 1,
          "name": "GetBlok.io Default Smart Pool",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd03440d6881bb5531ce1b7d2c297447e224a8f63bd7f82b371e26adfbd81adeafff,[22340,10000000,0,124,0]],[0008cd02daffb209d2ddf362fa9776bb4ec0faad14c23cc379ff94f803f7974430962286,[2580,10000000000,5326000000,55,0]],[0008cd039f0e2c932525037292dfeb81d52ec20bdfc0354980c875daf8b266ec29b051fe,[23494,10000000,0,69,0]],[0008cd02d758b1d20adae936f77b760cf91b96ec5e1e99ce2c99edd184f3e8bdeec0871d,[7880,250000000,0,39,0]],[0008cd0206d9ec577adde8b76c80b1c347b8bf6bc611d099b1bfd9009342e5997ec91e05,[2092,10000000,0,15,0]],[0008cd024aeb6c64a83075227b91e6cab2cc6f4dda695de570e85eab08399d81e53d64e7,[64007,500000000,0,157,0]],[0008cd030de3b32ff7476272add1e278f83e812f139b5ae6c1d178e87a0f27fbaa701495,[2947,2000000000,1604000000,22,0]],[0008cd03f210e53a2c529b5bc9784dc5c6386dee6d4cfdd6f58230d945032b0efa3894a7,[1939,10000000,0,61,0]],[0008cd03642403fb7c41a393f818f8185d1c34e3dd63caad7ed7b1af398db33e7a81b129,[21175,10000000,0,19,0]]]"
        },
        "R5": {
          "serializedValue": "0c4c0e01240008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed37202700",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,0]]"
        },
        "R6": {
          "serializedValue": "1105ba0288b7618edd5c1000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[157,798148,759623,8,0]"
        },
        "R7": {
          "serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
        }
      }
    },
    {
      "boxId": "68350434c8296861fba1326111ded354d7c4d1dd9e3978c608335aa5fec72af8",
      "value": 7000000,
      "index": 1,
      "spendingProof": "c1b36f08bf105cd9bba253d16373cb8f39cea0265780a816e7f0cc9d2598d04a33f0720187d78a31e93844cd028617a3eb3ab2ec125925c3",
      "outputBlockId": "a131864157275cedbd9e0704dcf3c41fb2c2d6e6899ae1be1f53e8604f86167f",
      "outputTransactionId": "4ac499da1fe0f36225d251d69624fce061fd1eecf1cf09dad6c94d6a638efc93",
      "outputIndex": 8,
      "outputGlobalIndex": 19315752,
      "outputCreatedAt": 798587,
      "outputSettledAt": 798589,
      "ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
      "address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "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",
          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd03440d6881bb5531ce1b7d2c297447e224a8f63bd7f82b371e26adfbd81adeafff,[18668,1000000,0,125,0]],[0008cd02daffb209d2ddf362fa9776bb4ec0faad14c23cc379ff94f803f7974430962286,[2349,1000000,0,56,0]],[0008cd039f0e2c932525037292dfeb81d52ec20bdfc0354980c875daf8b266ec29b051fe,[23482,1000000,0,70,0]],[0008cd02d758b1d20adae936f77b760cf91b96ec5e1e99ce2c99edd184f3e8bdeec0871d,[8071,1000000,0,40,0]],[0008cd0206d9ec577adde8b76c80b1c347b8bf6bc611d099b1bfd9009342e5997ec91e05,[1543,1000000,0,16,0]],[0008cd024aeb6c64a83075227b91e6cab2cc6f4dda695de570e85eab08399d81e53d64e7,[64915,1000000,0,158,0]],[0008cd030de3b32ff7476272add1e278f83e812f139b5ae6c1d178e87a0f27fbaa701495,[406,1000000,0,23,0]],[0008cd03f210e53a2c529b5bc9784dc5c6386dee6d4cfdd6f58230d945032b0efa3894a7,[1828,1000000,0,62,0]],[0008cd03642403fb7c41a393f818f8185d1c34e3dd63caad7ed7b1af398db33e7a81b129,[20334,1000000,0,20,0]]]"
        },
        "R5": {
          "serializedValue": "0c4c0e01240008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed37202700",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,0]]"
        },
        "R6": {
          "serializedValue": "1105bc02f6bd618edd5c1000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[158,798587,759623,8,0]"
        },
        "R7": {
          "serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
        }
      }
    },
    {
      "boxId": "05e08ab5e947c3f7492bed598cbcd322ab0fcc941ce221c9d73e7a77626df828",
      "value": 10287000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "f2b7277f78842fee9546663ed0a4389e415bfff868aef2c460a80b544f4ad9a1",
      "outputTransactionId": "348ab1426f6552065a199d79d30efa15393a893b7eeda5cf540ba6b3ecca6210",
      "outputIndex": 8,
      "outputGlobalIndex": 19314235,
      "outputCreatedAt": 798539,
      "outputSettledAt": 798541,
      "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": {}
    },
    {
      "boxId": "17233a98901dbb51340f8ad8830a9d4cefaa05af95261001037989e61e5df086",
      "value": 6930000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "277499896520a36171e008d04ad277e5e33477d9c73f391200f4702c78d73d3a",
      "outputTransactionId": "de73b5d6a4151407adad2214b235c6c27c79fc3bf83a3479fa82452f0c1a6c35",
      "outputIndex": 8,
      "outputGlobalIndex": 19295634,
      "outputCreatedAt": 798148,
      "outputSettledAt": 798150,
      "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": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "d144e43b11c82f74f548ee2744612cdcc4fb8a8983e51b08b81649fd3a7538cb",
      "transactionId": "9c9fab7e93510a2005a9d40935328996531258c6ce5e4d2a73f1b887a4d52ba4",
      "blockId": "a131864157275cedbd9e0704dcf3c41fb2c2d6e6899ae1be1f53e8604f86167f",
      "value": 1000000,
      "index": 0,
      "globalIndex": 19315876,
      "creationHeight": 798587,
      "settlementHeight": 798589,
      "ergoTree": "101404000400040204020100010004020100040204000400050204020404040404000400010001000101d806d601c6a70611d602c6a7071ad60396830501e6c6a7040c3c0e11e6c6a7050c4c0ee67201e6720293b2a4730000a7d604b2a5730100d605b2a4730200d606c672040611957203d1959595ed93c27204c2a795957203aee47202d901070e937207c2b2a4730300730496830401e6c67205040c3c0e11e6c67205050c4c0ee6c672050611e6c67205071a730596830601e6c67204040c3c0e11e6c67204050c4c0ee6c672040611e6c67204071a93c17204c1a793b1db6308720473067307d803d607e47206d608e47201d609b27207730800ededed93b272077309009ab27208730a00730bed9072097ea305917209b27208730c0093b27207730d00b27208730e00938cb2db6308a7730f00018cb2db630872047310000173119683040193e4c67204040c3c0e11e4c67205040c3c0e1193e4c67204050c4c0ee4c67205050c4c0e93e47206e4c67205061193e4c67204071ae4c67205071a7312d17313",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 1\n3: 1\n4: false\n5: false\n6: 1\n7: false\n8: 1\n9: 0\n10: 0\n11: 1\n12: 1\n13: 2\n14: 2\n15: 0\n16: 0\n17: false\n18: false\n19: true",
      "ergoTreeScript": "{\n  val opt1 = SELF.R6[Coll[Long]]\n  val opt2 = SELF.R7[Coll[Coll[Byte]]]\n  val bool3 = allOf(\n    Coll[Boolean](\n      SELF.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, SELF.R5[Coll[(Coll[Byte], Int)]].isDefined, opt1.isDefined, opt2.isDefined, INPUTS(\n        placeholder[Int](0)\n      ) == SELF\n    )\n  )\n  val box4 = OUTPUTS(placeholder[Int](1))\n  val box5 = INPUTS(placeholder[Int](2))\n  val opt6 = box4.R6[Coll[Long]]\n  if (bool3) {\n    sigmaProp(\n      if (if (if ((box4.propositionBytes == SELF.propositionBytes) && if (if (bool3) {\n        opt2.get.exists({(coll7: Coll[Byte]) => coll7 == INPUTS(placeholder[Int](3)).propositionBytes })\n      } else { placeholder[Boolean](4) }) {\n        allOf(\n          Coll[Boolean](\n            box5.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box5.R5[Coll[(Coll[Byte], Int)]].isDefined, box5.R6[Coll[Long]].isDefined, box5.R7[\n              Coll[Coll[Byte]]\n            ].isDefined\n          )\n        )\n      } else { placeholder[Boolean](5) }) {\n        allOf(\n          Coll[Boolean](\n            box4.R4[Coll[(Coll[Byte], Coll[Long])]].isDefined, box4.R5[Coll[(Coll[Byte], Int)]].isDefined, box4.R6[Coll[Long]].isDefined, box4.R7[\n              Coll[Coll[Byte]]\n            ].isDefined, box4.value == SELF.value, box4.tokens.size == placeholder[Int](6)\n          )\n        )\n      } else { placeholder[Boolean](7) }) {(\n        val coll7 = opt6.get\n        val coll8 = opt1.get\n        val l9 = coll7(placeholder[Int](8))\n        (\n          (\n            (coll7(placeholder[Int](9)) == coll8(placeholder[Int](10)) + placeholder[Long](11)) && ((l9 <= HEIGHT.toLong) && (l9 > coll8(placeholder[Int](12))))\n          ) && (coll7(placeholder[Int](13)) == coll8(placeholder[Int](14)))\n        ) && (SELF.tokens(placeholder[Int](15))._1 == box4.tokens(placeholder[Int](16))._1)\n      )} else { placeholder[Boolean](17) }) {\n        allOf(\n          Coll[Boolean](\n            box4.R4[Coll[(Coll[Byte], Coll[Long])]].get == box5.R4[Coll[(Coll[Byte], Coll[Long])]].get, box4.R5[Coll[(Coll[Byte], Int)]].get == box5.R5[\n              Coll[(Coll[Byte], Int)]\n            ].get, opt6.get == box5.R6[Coll[Long]].get, box4.R7[Coll[Coll[Byte]]].get == box5.R7[Coll[Coll[Byte]]].get\n          )\n        )\n      } else { placeholder[Boolean](18) }\n    )\n  } else { sigmaProp(placeholder[Boolean](19)) }\n}",
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        {
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          "index": 0,
          "amount": 1,
          "name": "GetBlok.io Default Smart Pool",
          "decimals": 0,
          "type": "EIP-004"
        }
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      "additionalRegisters": {
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          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd03440d6881bb5531ce1b7d2c297447e224a8f63bd7f82b371e26adfbd81adeafff,[18668,1000000,0,125,0]],[0008cd02daffb209d2ddf362fa9776bb4ec0faad14c23cc379ff94f803f7974430962286,[2349,1000000,0,56,0]],[0008cd039f0e2c932525037292dfeb81d52ec20bdfc0354980c875daf8b266ec29b051fe,[23482,1000000,0,70,0]],[0008cd02d758b1d20adae936f77b760cf91b96ec5e1e99ce2c99edd184f3e8bdeec0871d,[8071,1000000,0,40,0]],[0008cd0206d9ec577adde8b76c80b1c347b8bf6bc611d099b1bfd9009342e5997ec91e05,[1543,1000000,0,16,0]],[0008cd024aeb6c64a83075227b91e6cab2cc6f4dda695de570e85eab08399d81e53d64e7,[64915,1000000,0,158,0]],[0008cd030de3b32ff7476272add1e278f83e812f139b5ae6c1d178e87a0f27fbaa701495,[406,1000000,0,23,0]],[0008cd03f210e53a2c529b5bc9784dc5c6386dee6d4cfdd6f58230d945032b0efa3894a7,[1828,1000000,0,62,0]],[0008cd03642403fb7c41a393f818f8185d1c34e3dd63caad7ed7b1af398db33e7a81b129,[20334,1000000,0,20,0]]]"
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          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,0]]"
        },
        "R6": {
          "serializedValue": "1105bc02f6bd618edd5c1000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[158,798587,759623,8,0]"
        },
        "R7": {
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          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
        }
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      "mainChain": true
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      "creationHeight": 798587,
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      "ergoTree": "0008cd02daffb209d2ddf362fa9776bb4ec0faad14c23cc379ff94f803f7974430962286",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(daffb2,c5a470,...)))}",
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9f0e2c,1d2005,...)))}",
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      "ergoTree": "0008cd03642403fb7c41a393f818f8185d1c34e3dd63caad7ed7b1af398db33e7a81b129",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(642403,7f53a7,...)))}",
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4aeb6c,cd57bc,...)))}",
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    {
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      "ergoTreeScript": "{sigmaProp(\n  allOf(\n    Coll[Boolean](\n      HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n        placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n      ), OUTPUTS.size == placeholder[Int](4)\n    )\n  )\n)}",
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      "mainChain": true
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}