Ad
Inputs (4)
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.007 ERG
Output transaction:
Settlement height:
Value:
8.41 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
28.85 ERG
Tokens:
Loading assets...
Outputs (7)
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
17.05 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
15 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.084 ERG
Spent in transaction:
Settlement height:
Value:
0.168 ERG
Settlement height:
Value:
4.96 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Transaction Details
Status: Confirmed
Size: 2.12 KB
Received time: 7/17/2022 04:43:21 PM
Included in blocks: 795,469
Confirmations: 971,827
Total coins transferred: 37.26 ERG
Fees: 0.01 ERG
Fees per byte: 0.00000461 ERG
Raw Transaction Data
{
  "id": "e1a9561c181b7cf0797035953932ce0a3b51d37b50c40c2dfbe32b40db62eea8",
  "blockId": "120a6ec9c4f045e80e3891355a4b689a3285bfc77761ec7a8c2ad5ec69be7238",
  "inclusionHeight": 795469,
  "timestamp": 1658076201491,
  "index": 4,
  "globalIndex": 3566346,
  "numConfirmations": 971827,
  "inputs": [
    {
      "boxId": "45e63f749ecdee58cf4c702333996cc50a3d6ab58aa3ee8ad0169bc30ac3c444",
      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "c2f26b0aeed9357a5265ac53e7902afaf4f995a1a84fbf2f4b139cf1f430ac85",
      "outputTransactionId": "be43b72cd9299177caf7c52a647da1fd17bc62d948b20367c1308e9d9bfb731d",
      "outputIndex": 0,
      "outputGlobalIndex": 18115670,
      "outputCreatedAt": 775848,
      "outputSettledAt": 775851,
      "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": "3d87a6c89801af3866dcdfc318b803ca09332799870f08f12e105865d537e502",
          "index": 0,
          "amount": 1,
          "name": "COMET Smart Pool",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0c3c0e1104240008cd0398137ed84c179ffeaef8a84e9c556232b79c746eefac7fda074f7a09322b70a405885980a0be81950180dbdfa6420800240008cd03a7382261cbf9d79fa88f9bfed2d5f3ba131a3c103387a18a196a7c72ba290d3d05904a80b09dc2df0180abacdc6f0800240008cd028931319dc08d8664c2b584524c86e8375da9f66213381c238aab3f9e92c98123050080897a000b00240008cd028e6676ecebcb564f8a3b131a94fb751486bf5a80a94f4f8596f2c1b3db85c6ce05008090dfc04a80b3baf5240300",
          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd0398137ed84c179ffeaef8a84e9c556232b79c746eefac7fda074f7a09322b70a4,[5700,20000000000,8899000000,4,0]],[0008cd03a7382261cbf9d79fa88f9bfed2d5f3ba131a3c103387a18a196a7c72ba290d3d,[4744,30000000000,14995000000,4,0]],[0008cd028931319dc08d8664c2b584524c86e8375da9f66213381c238aab3f9e92c98123,[0,1000000,0,-6,0]],[0008cd028e6676ecebcb564f8a3b131a94fb751486bf5a80a94f4f8596f2c1b3db85c6ce,[0,10000000000,4955000000,-2,0]]]"
        },
        "R5": {
          "serializedValue": "0c4c0e02240008cd0352918d3b37b1d9e9a7c4639ca2775de8ca5c7e13c972fabda1de961659820573d00f240008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027a01f",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd0352918d3b37b1d9e9a7c4639ca2775de8ca5c7e13c972fabda1de961659820573,1000],[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,2000]]"
        },
        "R6": {
          "serializedValue": "11052ed0da5ea6dd5c0600",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[23,775848,759635,3,0]"
        },
        "R7": {
          "serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
        }
      }
    },
    {
      "boxId": "b6aa55034b3fc0cc0ba760a083f7541620347eb0d517be78ca260021c445f2a3",
      "value": 7000000,
      "index": 1,
      "spendingProof": "22604051b3286e2aea9ee305adc3fc1a4e8ff5199d19f149a2ef50786ce68468d7217aca2ac870a5f22ac3325b23920aad5293ef99878681",
      "outputBlockId": "120a6ec9c4f045e80e3891355a4b689a3285bfc77761ec7a8c2ad5ec69be7238",
      "outputTransactionId": "9e150edfa16519f56b4ec2e9ce5feb7c4d0a20fccacda6196fbeca6b39aa7bf1",
      "outputIndex": 0,
      "outputGlobalIndex": 19170300,
      "outputCreatedAt": 795467,
      "outputSettledAt": 795469,
      "ergoTree": "0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2122c3,fecf3d,...)))}",
      "address": "9gUibHoaeiwKZSpyghZE6YMEZVJu9wsKzFS23WxRVq6nzTvcGoU",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0c3c0e1103240008cd0398137ed84c179ffeaef8a84e9c556232b79c746eefac7fda074f7a09322b70a40596e6028084af5f000a00240008cd03a7382261cbf9d79fa88f9bfed2d5f3ba131a3c103387a18a196a7c72ba290d3d050080dac409000a00240008cd028e6676ecebcb564f8a3b131a94fb751486bf5a80a94f4f8596f2c1b3db85c6ce05008090dfc04a80b3baf5240500",
          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd0398137ed84c179ffeaef8a84e9c556232b79c746eefac7fda074f7a09322b70a4,[22923,100000000,0,5,0]],[0008cd03a7382261cbf9d79fa88f9bfed2d5f3ba131a3c103387a18a196a7c72ba290d3d,[0,10000000,0,5,0]],[0008cd028e6676ecebcb564f8a3b131a94fb751486bf5a80a94f4f8596f2c1b3db85c6ce,[0,10000000000,4955000000,-3,0]]]"
        },
        "R5": {
          "serializedValue": "0c4c0e02240008cd0352918d3b37b1d9e9a7c4639ca2775de8ca5c7e13c972fabda1de961659820573d00f240008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027a01f",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd0352918d3b37b1d9e9a7c4639ca2775de8ca5c7e13c972fabda1de961659820573,1000],[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,2000]]"
        },
        "R6": {
          "serializedValue": "110530968d61a6dd5c0600",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[24,795467,759635,3,0]"
        },
        "R7": {
          "serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
        }
      }
    },
    {
      "boxId": "9a810a584aaacfa02a3a9cec0ce57bfdd0f797c49a02ead27953b502cdd11c20",
      "value": 8407000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "6d6494aa2134995582262ef940581b5fcb348054b7db78cb238cb8f37e037490",
      "outputTransactionId": "7860bfc92fd03d8b9b33f2dfdca41c3a9120dd5bbf0f9fc38ee092a80e7e664e",
      "outputIndex": 3,
      "outputGlobalIndex": 19168761,
      "outputCreatedAt": 795437,
      "outputSettledAt": 795440,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  val i3 = placeholder[Int](1)\n  sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n      val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n          val coll8 = tuple6._2\n          coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n        }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n      val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n          val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n          (tuple7._1, l9 - l9 % placeholder[Long](11))\n        })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n      val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n      val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n          val coll12 = tuple10._2\n          coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n        }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n      (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n            val coll13 = tuple11._1\n            val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n            val coll15 = tuple11._2\n            val l16 = {(l16: Long) =>\n              val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n              l18 - l18 % placeholder[Long](20)\n            }(coll15(placeholder[Int](21)))\n            val l17 = coll15(placeholder[Int](22))\n            val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n            val l19 = coll15(placeholder[Int](24))\n            if (i14 != placeholder[Int](25)) {(\n              val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n              if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n                  val coll21 = OUTPUTS(i18).tokens\n                  if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n                )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n            )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n                  val coll20 = OUTPUTS(i18).tokens\n                  if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n                )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n          }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n            val l13 = tuple11._2\n            if (l13 > placeholder[Long](43)) {(\n              val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n              if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n            )} else { placeholder[Boolean](47) }\n          })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n    )} else { placeholder[Boolean](53) })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
          "index": 0,
          "amount": 42038,
          "name": "COMET",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "d7556936547740bd4c99e98a526601b74e0b0343c5dd8209862e26412cba2200",
      "value": 28849000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "c2f26b0aeed9357a5265ac53e7902afaf4f995a1a84fbf2f4b139cf1f430ac85",
      "outputTransactionId": "be43b72cd9299177caf7c52a647da1fd17bc62d948b20367c1308e9d9bfb731d",
      "outputIndex": 4,
      "outputGlobalIndex": 18115674,
      "outputCreatedAt": 775848,
      "outputSettledAt": 775851,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  val i3 = placeholder[Int](1)\n  sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n      val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n          val coll8 = tuple6._2\n          coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n        }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n      val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n          val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n          (tuple7._1, l9 - l9 % placeholder[Long](11))\n        })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n      val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n      val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n          val coll12 = tuple10._2\n          coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n        }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n      (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n            val coll13 = tuple11._1\n            val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n            val coll15 = tuple11._2\n            val l16 = {(l16: Long) =>\n              val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n              l18 - l18 % placeholder[Long](20)\n            }(coll15(placeholder[Int](21)))\n            val l17 = coll15(placeholder[Int](22))\n            val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n            val l19 = coll15(placeholder[Int](24))\n            if (i14 != placeholder[Int](25)) {(\n              val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n              if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n                  val coll21 = OUTPUTS(i18).tokens\n                  if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n                )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n            )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n                  val coll20 = OUTPUTS(i18).tokens\n                  if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n                )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n          }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n            val l13 = tuple11._2\n            if (l13 > placeholder[Long](43)) {(\n              val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n              if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n            )} else { placeholder[Boolean](47) }\n          })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n    )} else { placeholder[Boolean](53) })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
          "index": 0,
          "amount": 172060,
          "name": "COMET",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "40e0336ef597cf4d5690006fecfe22150a1ed908400c381936262eb1697f8c0d",
      "transactionId": "e1a9561c181b7cf0797035953932ce0a3b51d37b50c40c2dfbe32b40db62eea8",
      "blockId": "120a6ec9c4f045e80e3891355a4b689a3285bfc77761ec7a8c2ad5ec69be7238",
      "value": 1000000,
      "index": 0,
      "globalIndex": 19170310,
      "creationHeight": 795467,
      "settlementHeight": 795469,
      "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": "3d87a6c89801af3866dcdfc318b803ca09332799870f08f12e105865d537e502",
          "index": 0,
          "amount": 1,
          "name": "COMET Smart Pool",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0c3c0e1103240008cd0398137ed84c179ffeaef8a84e9c556232b79c746eefac7fda074f7a09322b70a40596e6028084af5f000a00240008cd03a7382261cbf9d79fa88f9bfed2d5f3ba131a3c103387a18a196a7c72ba290d3d050080dac409000a00240008cd028e6676ecebcb564f8a3b131a94fb751486bf5a80a94f4f8596f2c1b3db85c6ce05008090dfc04a80b3baf5240500",
          "sigmaType": "Coll[(Coll[SByte], Coll[SLong])]",
          "renderedValue": "[[0008cd0398137ed84c179ffeaef8a84e9c556232b79c746eefac7fda074f7a09322b70a4,[22923,100000000,0,5,0]],[0008cd03a7382261cbf9d79fa88f9bfed2d5f3ba131a3c103387a18a196a7c72ba290d3d,[0,10000000,0,5,0]],[0008cd028e6676ecebcb564f8a3b131a94fb751486bf5a80a94f4f8596f2c1b3db85c6ce,[0,10000000000,4955000000,-3,0]]]"
        },
        "R5": {
          "serializedValue": "0c4c0e02240008cd0352918d3b37b1d9e9a7c4639ca2775de8ca5c7e13c972fabda1de961659820573d00f240008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027a01f",
          "sigmaType": "Coll[(Coll[SByte], SInt)]",
          "renderedValue": "[[0008cd0352918d3b37b1d9e9a7c4639ca2775de8ca5c7e13c972fabda1de961659820573,1000],[0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027,2000]]"
        },
        "R6": {
          "serializedValue": "110530968d61a6dd5c0600",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[24,795467,759635,3,0]"
        },
        "R7": {
          "serializedValue": "1a01240008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[0008cd0302122c332fd4e3c901f045ac18f559dcecf8dc61f6f94fbb34d0c7c3aac71fb7]"
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "a51b4613ee8ae596e7d97543d2316244f54d4286a563de18cb3c1e4b977150a8",
      "transactionId": "e1a9561c181b7cf0797035953932ce0a3b51d37b50c40c2dfbe32b40db62eea8",
      "blockId": "120a6ec9c4f045e80e3891355a4b689a3285bfc77761ec7a8c2ad5ec69be7238",
      "value": 17051000000,
      "index": 1,
      "globalIndex": 19170311,
      "creationHeight": 795467,
      "settlementHeight": 795469,
      "ergoTree": "0008cd0398137ed84c179ffeaef8a84e9c556232b79c746eefac7fda074f7a09322b70a4",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(98137e,a76f9f,...)))}",
      "address": "9hcnGmacZpAdStpkqDG8PdATWFUxSo6uciiLX7NfgFtouxcuFR8",
      "assets": [
        {
          "tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
          "index": 0,
          "amount": 85261,
          "name": "COMET",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "51e565f054be887aeb9edb941fe304cf50f609f99ac7524b07a903772ed41569",
      "mainChain": true
    },
    {
      "boxId": "94195296c3fe2735575d7c9b879f28f758aa4d820320a58590ef58b76c34abe7",
      "transactionId": "e1a9561c181b7cf0797035953932ce0a3b51d37b50c40c2dfbe32b40db62eea8",
      "blockId": "120a6ec9c4f045e80e3891355a4b689a3285bfc77761ec7a8c2ad5ec69be7238",
      "value": 14995000000,
      "index": 2,
      "globalIndex": 19170312,
      "creationHeight": 795467,
      "settlementHeight": 795469,
      "ergoTree": "0008cd03a7382261cbf9d79fa88f9bfed2d5f3ba131a3c103387a18a196a7c72ba290d3d",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a73822,8b7fab,...)))}",
      "address": "9hjT5nj9gj2NwBtEJHBGpwKdcNntCsJ8oTV3hNQmmZwvigTVoqt",
      "assets": [
        {
          "tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
          "index": 0,
          "amount": 74980,
          "name": "COMET",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "5628642ee39eec93459bdcf4612f7a3f8d34908464230454b7a776f9b79ccbb6",
      "mainChain": true
    },
    {
      "boxId": "1896ba0b18e0552e908673963931b6e40fb60f9ecc0f1934650005c8153ce365",
      "transactionId": "e1a9561c181b7cf0797035953932ce0a3b51d37b50c40c2dfbe32b40db62eea8",
      "blockId": "120a6ec9c4f045e80e3891355a4b689a3285bfc77761ec7a8c2ad5ec69be7238",
      "value": 84000000,
      "index": 3,
      "globalIndex": 19170313,
      "creationHeight": 795467,
      "settlementHeight": 795469,
      "ergoTree": "0008cd0352918d3b37b1d9e9a7c4639ca2775de8ca5c7e13c972fabda1de961659820573",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(52918d,30977a,...)))}",
      "address": "9h6Ao31CVSsYisf4pWTM43jv6k3BaXV3jovGfaRj9PrqfYms6Rf",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "e15ee032389344ab055ac14ec1ee468eb189d53e2ce53544da2015223198966d",
      "mainChain": true
    },
    {
      "boxId": "37dab6349439097660990683dbd77519557688e2e74eb076b36e39b9396d280f",
      "transactionId": "e1a9561c181b7cf0797035953932ce0a3b51d37b50c40c2dfbe32b40db62eea8",
      "blockId": "120a6ec9c4f045e80e3891355a4b689a3285bfc77761ec7a8c2ad5ec69be7238",
      "value": 168000000,
      "index": 4,
      "globalIndex": 19170314,
      "creationHeight": 795467,
      "settlementHeight": 795469,
      "ergoTree": "0008cd026d9d81d27185efa93c148f700839183a882aae3a4de1f984faff69eeed372027",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6d9d81,e53882,...)))}",
      "address": "9fMLVMsG8U1PHqHZ8JDQ4Yn6q5wPdruVn2ctwqaqCXVLfWxfc3Q",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "3f8467d993a6970fef67bc5c5e49fb02791f76b741d890eaafb141cae460f708",
      "mainChain": true
    },
    {
      "boxId": "1e00c7c63d6a82d6b55c12cc0337c63ea7586ebd09b591e248ab27d49fdc18b8",
      "transactionId": "e1a9561c181b7cf0797035953932ce0a3b51d37b50c40c2dfbe32b40db62eea8",
      "blockId": "120a6ec9c4f045e80e3891355a4b689a3285bfc77761ec7a8c2ad5ec69be7238",
      "value": 4955000000,
      "index": 5,
      "globalIndex": 19170315,
      "creationHeight": 795467,
      "settlementHeight": 795469,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: Coll(61,-121,-90,-56,-104,1,-81,56,102,-36,-33,-61,24,-72,3,-54,9,51,39,-103,-121,15,8,-15,46,16,88,101,-43,55,-27,2)\n4: 1\n5: 0\n6: 2\n7: 1\n8: 0\n9: 2\n10: 100000\n11: 1000000\n12: 2\n13: 1\n14: 0\n15: 2\n16: 0\n17: 1000000\n18: 0\n19: 0\n20: 1000000\n21: 0\n22: 1\n23: 0\n24: 2\n25: -1\n26: 2\n27: -1\n28: 0\n29: 0\n30: 0\n31: -1\n32: false\n33: false\n34: -1\n35: -1\n36: 0\n37: 0\n38: 0\n39: -1\n40: false\n41: false\n42: -1\n43: 0\n44: 0\n45: -1\n46: false\n47: true\n48: 0\n49: 0\n50: -1\n51: 0\n52: true\n53: false",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = SELF.propositionBytes\n  val i3 = placeholder[Int](1)\n  sigmaProp(if (box1.tokens(placeholder[Int](2))._1 == placeholder[Coll[Byte]](3)) {(\n      val coll4 = INPUTS(placeholder[Int](4)).R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val coll5 = box1.R4[Coll[(Coll[Byte], Coll[Long])]].get\n      val l6 = INPUTS.filter({(box6: Box) => box6.propositionBytes == coll2 }).fold(placeholder[Long](5), {(tuple6: (Long, Box)) => tuple6._1 + tuple6._2.value }) - coll5.filter({(tuple6: (Coll[Byte], Coll[Long])) =>\n          val coll8 = tuple6._2\n          coll8(placeholder[Int](6)) < coll8(placeholder[Int](7))\n        }).fold(placeholder[Long](8), {(tuple6: (Long, (Coll[Byte], Coll[Long]))) => tuple6._1 + tuple6._2._2(placeholder[Int](9)) })\n      val coll7 = box1.R5[Coll[(Coll[Byte], Int)]].get.map({(tuple7: (Coll[Byte], Int)) =>\n          val l9 = tuple7._2.toLong * l6 / placeholder[Long](10)\n          (tuple7._1, l9 - l9 % placeholder[Long](11))\n        })\n      val coll8 = OUTPUTS.map({(box8: Box) => box8.propositionBytes })\n      val coll9 = OUTPUTS.map({(box9: Box) => box9.value })\n      val l10 = coll4.filter({(tuple10: (Coll[Byte], Coll[Long])) =>\n          val coll12 = tuple10._2\n          coll12(placeholder[Int](12)) < coll12(placeholder[Int](13))\n        }).fold(placeholder[Long](14), {(tuple10: (Long, (Coll[Byte], Coll[Long]))) => tuple10._1 + tuple10._2._2(placeholder[Int](15)) })\n      (coll4.forall({(tuple11: (Coll[Byte], Coll[Long])) =>\n            val coll13 = tuple11._1\n            val i14 = coll5.map({(tuple14: (Coll[Byte], Coll[Long])) => tuple14._1 }).indexOf(coll13, placeholder[Int](16))\n            val coll15 = tuple11._2\n            val l16 = {(l16: Long) =>\n              val l18 = coll7.fold(l6, {(tuple18: (Long, (Coll[Byte], Long))) => tuple18._1 - tuple18._2._2 }) - placeholder[Long](17) * coll4.size.toLong * l16 / coll4.fold(placeholder[Long](18), {(tuple18: (Long, (Coll[Byte], Coll[Long]))) => tuple18._1 + tuple18._2._2(placeholder[Int](19)) })\n              l18 - l18 % placeholder[Long](20)\n            }(coll15(placeholder[Int](21)))\n            val l17 = coll15(placeholder[Int](22))\n            val i18 = coll8.indexOf(coll13, placeholder[Int](23))\n            val l19 = coll15(placeholder[Int](24))\n            if (i14 != placeholder[Int](25)) {(\n              val l20 = coll5.map({(tuple20: (Coll[Byte], Coll[Long])) => tuple20._2 })(i14)(placeholder[Int](26)) + l16\n              if (l20 >= l17) { if (i18 != placeholder[Int](27)) {(\n                  val coll21 = OUTPUTS(i18).tokens\n                  if (coll21.size > placeholder[Int](28)) { allOf(Coll[Boolean](coll9(i18) == l20, l19 == placeholder[Long](29), coll21.map({(tuple22: (Coll[Byte], Long)) => tuple22._2 }).getOrElse(placeholder[Int](30), placeholder[Long](31)) >= i3.toLong)) } else { placeholder[Boolean](32) }\n                )} else { placeholder[Boolean](33) } } else { (i18 == placeholder[Int](34)) && (l19 == l20) }\n            )} else { if (l16 >= l17) { if (i18 != placeholder[Int](35)) {(\n                  val coll20 = OUTPUTS(i18).tokens\n                  if (coll20.size > placeholder[Int](36)) { allOf(Coll[Boolean](coll9(i18) == l16, l19 == placeholder[Long](37), coll20.map({(tuple21: (Coll[Byte], Long)) => tuple21._2 }).getOrElse(placeholder[Int](38), placeholder[Long](39)) >= i3.toLong)) } else { placeholder[Boolean](40) }\n                )} else { placeholder[Boolean](41) } } else { (i18 == placeholder[Int](42)) && (l19 == l16) } }\n          }) && coll7.forall({(tuple11: (Coll[Byte], Long)) =>\n            val l13 = tuple11._2\n            if (l13 > placeholder[Long](43)) {(\n              val i14 = coll8.indexOf(tuple11._1, placeholder[Int](44))\n              if (i14 != placeholder[Int](45)) { OUTPUTS(i14).value == l13 } else { placeholder[Boolean](46) }\n            )} else { placeholder[Boolean](47) }\n          })) && if (l10 > placeholder[Long](48)) { OUTPUTS.exists({(box11: Box) => ((box11.value == l10) && (box11.propositionBytes == coll2)) && (box11.tokens.map({(tuple13: (Coll[Byte], Long)) => tuple13._2 }).getOrElse(placeholder[Int](49), placeholder[Long](50)) >= placeholder[Long](51)) }) } else { placeholder[Boolean](52) }\n    )} else { placeholder[Boolean](53) })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "0cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b",
          "index": 0,
          "amount": 53857,
          "name": "COMET",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "2e643fdf5cc4c950c310757de10bf6dace4198b8bc5bc193bf40e39381562deb",
      "transactionId": "e1a9561c181b7cf0797035953932ce0a3b51d37b50c40c2dfbe32b40db62eea8",
      "blockId": "120a6ec9c4f045e80e3891355a4b689a3285bfc77761ec7a8c2ad5ec69be7238",
      "value": 10000000,
      "index": 6,
      "globalIndex": 19170316,
      "creationHeight": 795467,
      "settlementHeight": 795469,
      "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": "590999c03eec1784355f5d0e04ca8120263b25b625db954bfc131ff1f058560c",
      "mainChain": true
    }
  ],
  "size": 2169,
  "isUnconfirmed": false
}