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Transaction

6/24/2022 06:16:54 AM
ID: b570b4fe3d...c91d
Inputs (4)
#0
0a7fbf97f65f...9e31
Spent
Address:
721jRBm8dr7g...a85D
Output transaction:
96bf4e3d579e...06a3
Settlement height:
778,150
Value:
0.001 ERG
Tokens:
Loading assets...
#1
7641cc356598...cf3f
Spent
Address:
9gUibHoaeiwK...cGoU
Output transaction:
07b826b00f64...f7dd
Settlement height:
778,560
Value:
0.007 ERG
#2
47ceb4f7b940...e552
Spent
Address:
42gNKewDz89w...z3NU
Output transaction:
ad0bbf27f8ba...99fd
Settlement height:
778,555
Value:
15.84 ERG
#3
8a48e1d16efa...379f
Spent
Address:
42gNKewDz89w...z3NU
Output transaction:
96bf4e3d579e...06a3
Settlement height:
778,150
Value:
0.676 ERG
Outputs (12)
#0
8d2f1d24277d...7ae9
Spent
Address:
721jRBm8dr7g...a85D
Spent in transaction:
d209fdb46096...141a
Settlement height:
778,561
Value:
0.001 ERG
Tokens:
Loading assets...
#1
7680593f5b9c...51e2
Spent
Address:
9fxCKRWnRkdG...2dqp
Spent in transaction:
a575fe9b285b...a0f7
Settlement height:
778,561
Value:
0.281 ERG
#2
f2f547cc29ad...1120
Spent
Address:
9hsZ4k1mRpAy...1Fcy
Spent in transaction:
def59e049dbc...926d
Settlement height:
778,561
Value:
0.158 ERG
#3
54e8a8006ca2...6c5f
Spent
Address:
9fMmyUbZYxy7...qQUz
Spent in transaction:
bf100fb37958...536f
Settlement height:
778,561
Value:
0.874 ERG
#4
077a80275489...a83d
Unspent
Address:
9hcxtgSAh4aT...7KfN
Settlement height:
778,561
Value:
13.92 ERG
#5
65f2424ee14d...3317
Spent
Address:
9g5WhqsFg1mv...ET6S
Spent in transaction:
da50f74ebc63...de68
Settlement height:
778,561
Value:
0.847 ERG
#6
51b4c9113521...2504
Spent
Address:
9iD7AxDf9yqU...6m41
Spent in transaction:
5a5caa229d36...7e06
Settlement height:
778,561
Value:
0.042 ERG
#7
7ed24cebf84e...2876
Unspent
Address:
9hNofgfwBMhh...8pAb
Settlement height:
778,561
Value:
0.053 ERG
#8
73ac60e63569...cd40
Spent
Address:
9gUcf5coS9zr...woyd
Spent in transaction:
6117d74a8d10...76a7
Settlement height:
778,561
Value:
0.196 ERG
#9
2b5588c67722...45b1
Spent
Address:
42gNKewDz89w...z3NU
Spent in transaction:
d209fdb46096...141a
Settlement height:
778,561
Value:
0.134 ERG
#10
72be7c356036...f698
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
93fffc371d49...6b7e
Settlement height:
778,561
Value:
0.017 ERG
#11
e98f1cca46e4...8d68
Spent
Address:
9gUibHoaeiwK...cGoU
Spent in transaction:
ac080b889647...3a49
Settlement height:
778,561
Value:
0.005 ERG
Transaction Details
Status: Confirmed
Size: 2.44 KB
Received time: 6/24/2022 06:16:54 AM
Included in blocks: 778,561
Confirmations: 978,383
Total coins transferred: 16.53 ERG
Fees: 0.017 ERG
Fees per byte: 0.000006805 ERG
Raw Transaction Data
{
  "id": "b570b4fe3d010a4df9261b56f7dbca72db03f3e49afcdf75f67ff58af270c91d",
  "blockId": "4ddedce22a24c740974137e850e8362f4ebe22368ab9c3c7e90bd8c3a4143d79",
  "inclusionHeight": 778561,
  "timestamp": 1656051414858,
  "index": 16,
  "globalIndex": 3423979,
  "numConfirmations": 978383,
  "inputs": [
    {
      "boxId": "0a7fbf97f65fceee9102a0a9a2cc9c736dd4845836d9d4ba08273824c0799e31",
      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "3877d8caeea3f8bdb605a639b1d1e17350ef4837402722ce74ff681da7c7ca18",
      "outputTransactionId": "96bf4e3d579e469d6b9a261abbd77b5d139666df222dc07c8add17260c1e06a3",
      "outputIndex": 0,
      "outputGlobalIndex": 18277238,
      "outputCreatedAt": 778147,
      "outputSettledAt": 778150,
      "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": "[[0008cd03e0ccbea65c1dda72e12cc4119ee0277bc897492bfbb06581ff4c557c5c92dbe9,[1134,10000000,0,2,0]],[0008cd02bcc463c2969dffd2443684ba073079984e48bbf48be67ff692b2d960620dabfd,[1998,10000000,0,9,0]],[0008cd037857911630ae9f1429a5b3803d5e4325e30b2fbadee507d6eca0c7cf1c9c898b,[1037,10000000,0,11,0]],[0008cd03987debdb71f02905fbce7d3d3cdb79b57ab9e5be52eb3927d283d3ee9c0ad119,[94857,1000000000,0,2,0]],[0008cd03b99e51ffb0ce05d082db610ade2b34945eef3b4a7198b2b787f4254ac6470fe4,[1053,10000000,0,91,0]],[0008cd02fde65639ff62e64c7efa6a5ab0405bd9fadb09bee623089492635d7ee1f39cf2,[2395,100000000,0,6,0]],[0008cd027c44d6cec8cf28251411a0e91a10110e1c4dd8294e2b0158f7b8f2910bcd3f0e,[0,10000000,4000000,0,0]],[0008cd022fdb413470a9bd5fea8d64d90389ba328be485ec569c6a0547647db2dc60e82b,[115,10000000,0,1,0]],[0008cd02cd619daf98d7341880f3dc684720ccd6bff510bd49122bd254277fcbdb0bc4cb,[3136,1000000000,542000000,1,0]],[0008cd020daa7586bcb0b233b93de7dd875c35e8d5d273476bc1fa47d60f12a36d9725a0,[0,500000000,130000000,-1,0]]]"
        },
        "R5": {
          "serializedValue": "0c4c0e01240008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed37202700",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,0]]"
        },
        "R6": {
          "serializedValue": "1105ee01c6fe5e8edd5c1600",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[119,778147,759623,11,0]"
        },
        "R7": {
          "serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
        }
      }
    },
    {
      "boxId": "7641cc3565983cfec46d938671054094a540cf975a1c8d8b49ed06fb69b2cf3f",
      "value": 7000000,
      "index": 1,
      "spendingProof": "9ce0b03fabfd7bb6f0ccef0e4cc6d8723617a00ff0349fc8d329beec897410b515225b5e9e9b72d11eae72f7d181aeeff77c126a1db68f98",
      "outputBlockId": "9014497f9a6eca03bfdf257240a8106384b929cadb7d1e60ff10415066974a09",
      "outputTransactionId": "07b826b00f641223d6b5f96f064b7b00831316f82ea39d4953dc72481499f7dd",
      "outputIndex": 11,
      "outputGlobalIndex": 18304095,
      "outputCreatedAt": 778558,
      "outputSettledAt": 778560,
      "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": "[[0008cd02bcc463c2969dffd2443684ba073079984e48bbf48be67ff692b2d960620dabfd,[1767,10000000,0,10,0]],[0008cd037857911630ae9f1429a5b3803d5e4325e30b2fbadee507d6eca0c7cf1c9c898b,[335,10000000,0,12,0]],[0008cd026e9ceab55aeca1ef9158f1dedee5c5cd59042ace437abbfca334b97c36f612da,[5483,100000000,0,1,0]],[0008cd03987debdb71f02905fbce7d3d3cdb79b57ab9e5be52eb3927d283d3ee9c0ad119,[87250,1000000000,0,3,0]],[0008cd0301d6b1f7a594e35038d57a212bb823c6682d7a995fb1178643e70146fbbedeba,[1234,10000000,0,1,0]],[0008cd03b99e51ffb0ce05d082db610ade2b34945eef3b4a7198b2b787f4254ac6470fe4,[994,10000000,0,92,0]],[0008cd03e6046802bcb29f64fd8fa6a2ba40736c1a7053c7be3a4f147a22e41d803ed78d,[266,10000000,0,1,0]],[0008cd027c44d6cec8cf28251411a0e91a10110e1c4dd8294e2b0158f7b8f2910bcd3f0e,[0,10000000,4000000,-1,0]],[0008cd02cd619daf98d7341880f3dc684720ccd6bff510bd49122bd254277fcbdb0bc4cb,[1915,100000000,0,2,0]],[0008cd020daa7586bcb0b233b93de7dd875c35e8d5d273476bc1fa47d60f12a36d9725a0,[0,500000000,130000000,-2,0]]]"
        },
        "R5": {
          "serializedValue": "0c4c0e01240008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed37202700",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,0]]"
        },
        "R6": {
          "serializedValue": "1105f001fc845f8edd5c1600",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[120,778558,759623,11,0]"
        },
        "R7": {
          "serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
        }
      }
    },
    {
      "boxId": "47ceb4f7b940b2c813beb7230b70f597a9d107b8632c510d40289a8c39b1e552",
      "value": 15843000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "b2dee62fc5093611512db682345ce0fa674569faec61fc75a5a33ba96872d9c4",
      "outputTransactionId": "ad0bbf27f8bab3734a23ad3f5388bb92b6e23c589946abf716cce6e8be6399fd",
      "outputIndex": 11,
      "outputGlobalIndex": 18303905,
      "outputCreatedAt": 778553,
      "outputSettledAt": 778555,
      "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": {}
    },
    {
      "boxId": "8a48e1d16efa240469bf9536da75816837a185328dacbb1367c7c57c66c2379f",
      "value": 676000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "3877d8caeea3f8bdb605a639b1d1e17350ef4837402722ce74ff681da7c7ca18",
      "outputTransactionId": "96bf4e3d579e469d6b9a261abbd77b5d139666df222dc07c8add17260c1e06a3",
      "outputIndex": 8,
      "outputGlobalIndex": 18277246,
      "outputCreatedAt": 778147,
      "outputSettledAt": 778150,
      "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": "8d2f1d24277d094d0ea35bf0bd05fd74eb6433ce34870e84109f702480007ae9",
      "transactionId": "b570b4fe3d010a4df9261b56f7dbca72db03f3e49afcdf75f67ff58af270c91d",
      "blockId": "4ddedce22a24c740974137e850e8362f4ebe22368ab9c3c7e90bd8c3a4143d79",
      "value": 1000000,
      "index": 0,
      "globalIndex": 18304433,
      "creationHeight": 778558,
      "settlementHeight": 778561,
      "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": {
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          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd02bcc463c2969dffd2443684ba073079984e48bbf48be67ff692b2d960620dabfd,[1767,10000000,0,10,0]],[0008cd037857911630ae9f1429a5b3803d5e4325e30b2fbadee507d6eca0c7cf1c9c898b,[335,10000000,0,12,0]],[0008cd026e9ceab55aeca1ef9158f1dedee5c5cd59042ace437abbfca334b97c36f612da,[5483,100000000,0,1,0]],[0008cd03987debdb71f02905fbce7d3d3cdb79b57ab9e5be52eb3927d283d3ee9c0ad119,[87250,1000000000,0,3,0]],[0008cd0301d6b1f7a594e35038d57a212bb823c6682d7a995fb1178643e70146fbbedeba,[1234,10000000,0,1,0]],[0008cd03b99e51ffb0ce05d082db610ade2b34945eef3b4a7198b2b787f4254ac6470fe4,[994,10000000,0,92,0]],[0008cd03e6046802bcb29f64fd8fa6a2ba40736c1a7053c7be3a4f147a22e41d803ed78d,[266,10000000,0,1,0]],[0008cd027c44d6cec8cf28251411a0e91a10110e1c4dd8294e2b0158f7b8f2910bcd3f0e,[0,10000000,4000000,-1,0]],[0008cd02cd619daf98d7341880f3dc684720ccd6bff510bd49122bd254277fcbdb0bc4cb,[1915,100000000,0,2,0]],[0008cd020daa7586bcb0b233b93de7dd875c35e8d5d273476bc1fa47d60f12a36d9725a0,[0,500000000,130000000,-2,0]]]"
        },
        "R5": {
          "serializedValue": "0c4c0e01240008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed37202700",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,0]]"
        },
        "R6": {
          "serializedValue": "1105f001fc845f8edd5c1600",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[120,778558,759623,11,0]"
        },
        "R7": {
          "serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
        }
      },
      "spentTransactionId": "d209fdb46096ebea9a4c488e427fe59f7da75110fe5db63b13eeb59ad953141a",
      "mainChain": true
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    {
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      "transactionId": "b570b4fe3d010a4df9261b56f7dbca72db03f3e49afcdf75f67ff58af270c91d",
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      "value": 281000000,
      "index": 1,
      "globalIndex": 18304434,
      "creationHeight": 778558,
      "settlementHeight": 778561,
      "ergoTree": "0008cd02bcc463c2969dffd2443684ba073079984e48bbf48be67ff692b2d960620dabfd",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(bcc463,5e125d,...)))}",
      "address": "9fxCKRWnRkdGKNoGGu7N4t95QJtYZFaGgTCaijSqqhv1DwE2dqp",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "a575fe9b285bc2718542ba3f5fdb456657ae83c01d7f9aa210f7ba8ecfb2a0f7",
      "mainChain": true
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    {
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      "ergoTree": "0008cd03b99e51ffb0ce05d082db610ade2b34945eef3b4a7198b2b787f4254ac6470fe4",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b99e51,18ec36,...)))}",
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      "mainChain": true
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      "ergoTree": "0008cd026e9ceab55aeca1ef9158f1dedee5c5cd59042ace437abbfca334b97c36f612da",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6e9cea,6e57d8,...)))}",
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      "spentTransactionId": "bf100fb37958d76111dd18018124e6577bb65d80062d49379ddd5124420d536f",
      "mainChain": true
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    {
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      "ergoTree": "0008cd03987debdb71f02905fbce7d3d3cdb79b57ab9e5be52eb3927d283d3ee9c0ad119",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(987deb,c1debc,...)))}",
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      "mainChain": true
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    {
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      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(cd619d,ae03e9,...)))}",
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e60468,3e1029,...)))}",
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      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(1d6b1f,1fe5b9,...)))}",
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      "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": "d209fdb46096ebea9a4c488e427fe59f7da75110fe5db63b13eeb59ad953141a",
      "mainChain": true
    },
    {
      "boxId": "72be7c3560368694d9da25fd3edd937051c5d52454e31bef6f1c630ea17ff698",
      "transactionId": "b570b4fe3d010a4df9261b56f7dbca72db03f3e49afcdf75f67ff58af270c91d",
      "blockId": "4ddedce22a24c740974137e850e8362f4ebe22368ab9c3c7e90bd8c3a4143d79",
      "value": 17000000,
      "index": 10,
      "globalIndex": 18304443,
      "creationHeight": 778558,
      "settlementHeight": 778561,
      "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": "93fffc371d49886323b48bcc2430fffa45f12bbdd436401d52dfa6895de56b7e",
      "mainChain": true
    },
    {
      "boxId": "e98f1cca46e4540bc421986f9818711006efede72488ca228094725a3d558d68",
      "transactionId": "b570b4fe3d010a4df9261b56f7dbca72db03f3e49afcdf75f67ff58af270c91d",
      "blockId": "4ddedce22a24c740974137e850e8362f4ebe22368ab9c3c7e90bd8c3a4143d79",
      "value": 5000000,
      "index": 11,
      "globalIndex": 18304444,
      "creationHeight": 778558,
      "settlementHeight": 778561,
      "ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
      "address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "ac080b889647f94e21eb105efc30dd5e60facec0ec08449c05b84a76ad773a49",
      "mainChain": true
    }
  ],
  "size": 2498,
  "isUnconfirmed": false
}