Ad
Inputs (9)
Output transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.1 ERG
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.00006552 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
10,000
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
1.55 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Outputs (6)
Spent in transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.1 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.05 ERG
Spent in transaction:
Settlement height:
Value:
0.00235 ERG
Spent in transaction:
Settlement height:
Value:
1.5 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 5.51 KB
Received time: 6/13/2025 03:46:10 PM
Included in blocks: 1,546,273
Confirmations: 217,078
Total coins transferred: 2.65 ERG
Fees: 0.00235 ERG
Fees per byte: 0.000000417 ERG
Raw Transaction Data
{
  "id": "98eaa2777f46bd66dd708de040ea653ea75ce4305852e80ebefe8ec5d08ebdde",
  "blockId": "20326943c6353c62b8c1a0429a1a18caa95828b4cc502a3bf460851bf0a7e15b",
  "inclusionHeight": 1546273,
  "timestamp": 1749829570737,
  "index": 6,
  "globalIndex": 9079975,
  "numConfirmations": 217078,
  "inputs": [
    {
      "boxId": "7e0ffa300233666c35e3b92b2bb84b2995997af076e2a57134b0e6fae44129f5",
      "value": 1000000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "b8aeacaa4b802ac0924ce063db78f3263721b0f0c3bafb1aee620549c3a5066f",
      "outputTransactionId": "41920c6bfb6b21008cef1273a2dce51452e62281d0d5a31469f7d90513653622",
      "outputIndex": 0,
      "outputGlobalIndex": 48345958,
      "outputCreatedAt": 1546255,
      "outputSettledAt": 1546258,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(48,-116,21,-33,-8,-92,-81,-69,-46,-102,-104,-5,-53,46,28,-114,-1,101,42,-60,70,-120,67,17,-32,76,-120,-14,76,67,-54,113)",
      "ergoTreeScript": "{\n  val coll1 = Coll[Byte](\n    -34.toByte, -82.toByte, -49.toByte, 91.toByte, 100.toByte, -70.toByte, -42.toByte, -11.toByte, 87.toByte, 11.toByte, -83.toByte, 10.toByte, 97.toByte, 12.toByte, 78.toByte, 72.toByte, 73.toByte, 87.toByte, -49.toByte, 71.toByte, -126.toByte, 48.toByte, -124.toByte, 0.toByte, -68.toByte, -112.toByte, 64.toByte, 76.toByte, 29.toByte, 20.toByte, 16.toByte, -38.toByte\n  )\n  val func2 = {(box2: Box) => box2.R4[AvlTree].get }\n  val func3 = {(tuple3: (Coll[Box], Coll[Byte])) =>\n    tuple3._1.filter({(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == tuple3._2 }) })\n  }\n  val box4 = func3((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)\n  val opt5 = getVar[Coll[Byte]](1.toByte)\n  val func6 = {(opt6: Option[Coll[Byte]]) => opt6.get.slice(1, 33) }\n  val func7 = {(box7: Box) => box7.tokens(0) }\n  val tuple8 = func7(SELF)\n  val box9 = func3((OUTPUTS, tuple8._1))(0)\n  val func10 = {(box10: Box) => box10.tokens(1) }\n  val func11 = {(coll11: Coll[Byte]) =>\n    val coll13 = func2(box4).getMany(Coll[Coll[Byte]](coll1, coll11), opt5.get)\n    allOf(\n      Coll[Boolean](\n        {(tuple14: (Coll[Box], Coll[Byte])) => tuple14._1.filter({(box16: Box) => blake2b256(box16.propositionBytes) == tuple14._2 }) }(\n          (INPUTS, func6(coll13(1)))\n        ).size == 1, {(coll14: Coll[Byte]) =>\n          allOf(Coll[Boolean](blake2b256(box9.propositionBytes) == coll14, func7(box9) == tuple8, func10(box9)._1 == func10(SELF)._1))\n        }(func6(coll13(0)))\n      )\n    )\n  }\n  val b12 = getVar[Byte](0.toByte).get\n  val i13 = INPUTS.indexOf(SELF, 0)\n  val func14 = {(l14: Long) =>\n    if (l14 < 128L) { 1 } else {\n      if (l14 < 16384L) { 2 } else {\n        if (l14 < 2097152L) { 3 } else {\n          if (l14 < 268435456L) { 4 } else {\n            if (l14 < 34359738368L) { 5 } else {\n              if (l14 < 4398046511104L) { 6 } else { if (l14 < 562949953421312L) { 7 } else { if (l14 < 72057594037927936L) { 8 } else { 9 } } }\n            }\n          }\n        }\n      }\n    }\n  }\n  sigmaProp(\n    anyOf(\n      Coll[Boolean](\n        {(b15: Byte) =>\n          if (b15 == 0.toByte) {\n            func11(\n              Coll[Byte](\n                3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 2.toByte) {\n            func11(\n              Coll[Byte](\n                -117.toByte, -57.toByte, -113.toByte, 28.toByte, 106.toByte, -82.toByte, -55.toByte, 30.toByte, 98.toByte, -114.toByte, 21.toByte, -49.toByte, 102.toByte, -116.toByte, 22.toByte, -52.toByte, 30.toByte, -101.toByte, -40.toByte, -28.toByte, -71.toByte, -73.toByte, -31.toByte, 109.toByte, 99.toByte, 24.toByte, -75.toByte, -11.toByte, 35.toByte, -91.toByte, -23.toByte, -67.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 1.toByte) {\n            func11(\n              Coll[Byte](\n                -120.toByte, 48.toByte, 97.toByte, 44.toByte, 82.toByte, 53.toByte, 95.toByte, 111.toByte, 40.toByte, 13.toByte, 18.toByte, -105.toByte, -15.toByte, -97.toByte, 103.toByte, -80.toByte, 120.toByte, -55.toByte, -38.toByte, -89.toByte, -41.toByte, -80.toByte, 75.toByte, 69.toByte, -100.toByte, -111.toByte, -52.toByte, 100.toByte, 73.toByte, 87.toByte, -62.toByte, -128.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 3.toByte) {\n            func11(\n              Coll[Byte](\n                79.toByte, -40.toByte, -80.toByte, -42.toByte, -39.toByte, -126.toByte, 66.toByte, 114.toByte, 111.toByte, 87.toByte, -77.toByte, -33.toByte, -90.toByte, -122.toByte, 18.toByte, 103.toByte, -110.toByte, -72.toByte, -27.toByte, 5.toByte, 110.toByte, 29.toByte, 81.toByte, -74.toByte, -23.toByte, 13.toByte, 104.toByte, -128.toByte, -49.toByte, 45.toByte, -51.toByte, -59.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 4.toByte) {\n            func11(\n              Coll[Byte](\n                -119.toByte, 46.toByte, 111.toByte, 71.toByte, -95.toByte, 13.toByte, 92.toByte, -112.toByte, -72.toByte, 122.toByte, -44.toByte, -122.toByte, 51.toByte, 85.toByte, -50.toByte, -83.toByte, 0.toByte, -61.toByte, -30.toByte, -104.toByte, 50.toByte, 23.toByte, -18.toByte, 21.toByte, 83.toByte, 50.toByte, 83.toByte, -51.toByte, -102.toByte, 96.toByte, 37.toByte, -62.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 5.toByte) {\n            func11(\n              Coll[Byte](\n                58.toByte, 17.toByte, -107.toByte, 92.toByte, 71.toByte, 25.toByte, -27.toByte, -120.toByte, -68.toByte, -26.toByte, -89.toByte, 97.toByte, 29.toByte, 39.toByte, -67.toByte, 31.toByte, -33.toByte, -37.toByte, 87.toByte, 56.toByte, 92.toByte, -82.toByte, -30.toByte, 102.toByte, -40.toByte, 4.toByte, 12.toByte, -119.toByte, 79.toByte, 28.toByte, 46.toByte, 29.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 6.toByte) {\n            func11(\n              Coll[Byte](\n                9.toByte, -126.toByte, 15.toByte, -53.toByte, -120.toByte, 113.toByte, -5.toByte, 69.toByte, 12.toByte, 62.toByte, 6.toByte, -73.toByte, -53.toByte, 94.toByte, 39.toByte, -80.toByte, 69.toByte, 80.toByte, -121.toByte, -93.toByte, 102.toByte, 98.toByte, 26.toByte, -99.toByte, -34.toByte, 117.toByte, -126.toByte, -96.toByte, 25.toByte, 17.toByte, 30.toByte, 62.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) => if (b15 == 7.toByte) { {(tuple17: (Coll[Byte], Box)) => if (i13 >= OUTPUTS.size) { false } else {(\n                val box19 = OUTPUTS(i13)\n                val l20 = box19.value\n                val l21 = SELF.value\n                val coll22 = box19.propositionBytes\n                val coll23 = SELF.bytesWithoutRef\n                val coll24 = SELF.propositionBytes\n                val i25 = SELF.creationInfo._1\n                val coll26 = box19.bytesWithoutRef\n                val i27 = box19.creationInfo._1\n                allOf(Coll[Boolean](l20 >= l21 - 2000000L, blake2b256(coll22) == func6(func2(tuple17._2).getMany(Coll[Coll[Byte]](tuple17._1), opt5.getOrElse(Coll[Byte]()))(0)), coll23.slice(func14(l21) + coll24.size + func14(i25.toLong), coll23.size) == coll26.slice(func14(l20) + coll22.size + func14(i27.toLong), coll26.size), anyOf(Coll[Boolean](i27 - i25 >= 504000, coll24 != coll22))))\n              )} }((coll1, box4)) } else { false } }(b12)\n      )\n    )\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "9b7ea8b9abab7d2e60a5d92c6b1939af1a7c13985a942eed94e3dc5aaf37bc83",
          "index": 0,
          "amount": 1,
          "name": "Sigmanauts Stake State",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "00b6f6e34943cef98f5302c54cf13a81f7ab5cd6af2d7b14cf51d835e4e8288c",
          "index": 1,
          "amount": 18,
          "name": "Sigmanaut",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1107d0ef84a4f46522200c0c0000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1750773832680,17,16,6,6,0,0]"
        },
        "R6": {
          "serializedValue": "1d0501220100010001320132",
          "sigmaType": "Coll[Coll[SLong]]",
          "renderedValue": "[[17],[0],[0],[25],[25]]"
        },
        "R8": {
          "serializedValue": "11020000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0]"
        },
        "R7": {
          "serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
          "sigmaType": null,
          "renderedValue": null
        },
        "R4": {
          "serializedValue": "0c6402d42a555e3078e095af6e83099bae10c09a996124a686c23dcbad95215d80fa4305072000da2b5a402805e49236d4a65c0072ff255413c0d8f9830ef3c02fc65a4e0f4f1403072000",
          "sigmaType": null,
          "renderedValue": null
        }
      }
    },
    {
      "boxId": "455fb97a6f5ea2779a6017bb33c5aca25ce0ef1eab1934c38c7746617bc8d3b0",
      "value": 100000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "6b5c86103fc1e32137799b083f7688e44ef2a8f9e873688f8b5b4e622b374b8b",
      "outputTransactionId": "23b448676d2f87d467c882c07f21100deaea42fd2ab4debf07201acd5ec1c986",
      "outputIndex": 1,
      "outputGlobalIndex": 46533790,
      "outputCreatedAt": 1470646,
      "outputSettledAt": 1470650,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(48,-116,21,-33,-8,-92,-81,-69,-46,-102,-104,-5,-53,46,28,-114,-1,101,42,-60,70,-120,67,17,-32,76,-120,-14,76,67,-54,113)\n1: Coll(-101,126,-88,-71,-85,-85,125,46,96,-91,-39,44,107,25,57,-81,26,124,19,-104,90,-108,46,-19,-108,-29,-36,90,-81,55,-68,-125)",
      "ergoTreeScript": "{\n  val func1 = {(tuple1: (Coll[Box], Coll[Byte])) =>\n    tuple1._1.filter({(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == tuple1._2 }) })\n  }\n  val coll2 = placeholder[Coll[Byte]](1)\n  val box3 = func1((OUTPUTS, coll2))(0)\n  val box4 = func1((INPUTS, coll2))(0)\n  val func5 = {(box5: Box) =>\n    val coll7 = box5.tokens\n    coll7.slice(2, coll7.size)\n  }\n  val func6 = {(box6: Box) => box6.R4[Coll[AvlTree]].get(1) }\n  val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(0) }\n  val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(3) }\n  val func9 = {(box9: Box) => box9.R5[Coll[Long]].get(4) }\n  val func10 = {(box10: Box) =>\n    val coll12 = box10.R5[Coll[Long]].get\n    coll12.slice(5, coll12.size)\n  }\n  val func11 = {(box11: Box) => box11.R6[Coll[Coll[Long]]].get }\n  val func12 = {(box12: Box) => box12.R7[Coll[(AvlTree, AvlTree)]].get }\n  val func13 = {(box13: Box) => box13.R8[Coll[Long]].get }\n  val coll14 = INPUTS(0).id\n  val coll15 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n  val tuple16 = coll15(0)\n  val coll17 = tuple16._2\n  val l18 = {(coll18: Coll[Byte]) => byteArrayToLong(coll18.slice(8, 16)) }(coll17)\n  val func19 = {(box19: Box) => box19.tokens(1) }\n  val func20 = {(box20: Box) => box20.R5[Coll[Long]].get(1) }\n  val func21 = {(box21: Box) => box21.R4[Coll[AvlTree]].get(0) }\n  val func22 = {(box22: Box) => box22.R5[Coll[Long]].get(2) }\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        allOf(\n          Coll[Boolean](\n            box3.value >= box4.value, func5(box3) == func5(box4), func6(box3) == func6(box4), func7(box3) == func7(box4), func8(box3) == func8(box4), func9(\n              box3\n            ) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4), func13(box3) == func13(box4)\n          )\n        ), coll14 == tuple16._1, {(tuple23: (Coll[Box], Coll[Byte])) =>\n          tuple23._1.flatMap({(box25: Box) => box25.tokens }).fold(0L, {(tuple25: (Long, (Coll[Byte], Long))) =>\n              val tuple27 = tuple25._2\n              tuple25._1 + if (tuple27._1 == tuple23._2) { tuple27._2 } else { 0L }\n            })\n        }((OUTPUTS, coll14)) == 1L, (l18 == func19(box3)._2 - func19(box4)._2) && (l18 == func20(box3) - func20(box4)), coll15.size == 1, func21(box4).insert(\n          coll15, getVar[Coll[Byte]](2.toByte).get\n        ).get.digest == func21(box3).digest, {(coll23: Coll[Byte]) => coll23.slice(0, coll23.size - 16 / 8).indices.map({(i25: Int) =>\n              val i27 = i25 * 8\n              byteArrayToLong(coll23.slice(i27 + 16, i27 + 8 + 16))\n            }) }(coll17).forall({(l23: Long) => l23 == 0L }), {(tuple23: (Coll[Box], Coll[Byte])) =>\n          tuple23._1.filter({(box25: Box) => blake2b256(box25.propositionBytes) == tuple23._2 })\n        }(\n          (\n            OUTPUTS, {(opt23: Option[Coll[Byte]]) => opt23.get.slice(1, 33) }(\n              {(box23: Box) => box23.R4[AvlTree].get }(func1((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n                Coll[Coll[Byte]](\n                  Coll[Byte](\n                    3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n                  )\n                ), getVar[Coll[Byte]](0.toByte).get\n              )(0)\n            )\n          )\n        )(0).value >= SELF.value, func22(box4) + 1L == func22(box3), {(coll23: Coll[Byte]) => byteArrayToLong(coll23.slice(0, 8)) }(coll17) == 0L, l18 > 0L\n      )\n    )\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "0a63e501d075bd3de95bdcb2bd1d3087a1f9e35abdb7a341ca05b9d4821293fa",
      "value": 1000000,
      "index": 2,
      "spendingProof": "0ee205501fc264acbf524129a44da18390e91d90462742978c4aee07051d39ed5fa96b00c76b6e800e5ca8a9cced3d118ed825693ea45740",
      "outputBlockId": "641bac359b298720dd59aa30b087b06c0789005bb9cd151e89c384527f132c02",
      "outputTransactionId": "2d8355d9f77a627bf6139de0472b0e3bffda87b3548f94749cb914e5ce0a3b5a",
      "outputIndex": 0,
      "outputGlobalIndex": 47493815,
      "outputCreatedAt": 1508429,
      "outputSettledAt": 1508431,
      "ergoTree": "0008cd026bc5d849581d171cd2b9b3b64887e3319bd4b52a63b72bb125cdde9050a4e0e4",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6bc5d8,4a53a1,...)))}",
      "address": "9fLXRjthKecc7LsHyQAF9w2DfqVbsFxsHqUBpz2ouBPYRmaBxfT",
      "assets": [
        {
          "tokenId": "2a4db3601ab5835392d5202b3f88c13932f338c539ba5f131fb1370bf60f32b3",
          "index": 0,
          "amount": 100000,
          "name": "Gyros",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "8a4fa3e552c142dd80acf12f390753277f513cc81ef7c1cafd3c9dbc59483800",
      "value": 65520,
      "index": 3,
      "spendingProof": "4c3380b54a122e86be90186d10565599a0a34964dd3295bece15e4308faf8dd6bc028860670bdc16ebb6fc0f081019ee090b1d6ca169b1eb",
      "outputBlockId": "641bac359b298720dd59aa30b087b06c0789005bb9cd151e89c384527f132c02",
      "outputTransactionId": "2d8355d9f77a627bf6139de0472b0e3bffda87b3548f94749cb914e5ce0a3b5a",
      "outputIndex": 3,
      "outputGlobalIndex": 47493818,
      "outputCreatedAt": 1508429,
      "outputSettledAt": 1508431,
      "ergoTree": "0008cd026bc5d849581d171cd2b9b3b64887e3319bd4b52a63b72bb125cdde9050a4e0e4",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6bc5d8,4a53a1,...)))}",
      "address": "9fLXRjthKecc7LsHyQAF9w2DfqVbsFxsHqUBpz2ouBPYRmaBxfT",
      "assets": [
        {
          "tokenId": "d1d2ae2ac0456aa43550dd4fda45e4f866d523be9170d3a3e4cab43a83926334",
          "index": 0,
          "amount": 6084,
          "name": "GreasyCex",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "72f0c249977e2bfd758e54640cb456ceba0b4e3f2989ba0ebff92d53e9e7763c",
          "index": 1,
          "amount": 3,
          "name": "dandelions",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "391842ba510a5b90e7505690e2a43544d8509f68a8f2b9b2b0a6c31547b5bf52",
          "index": 2,
          "amount": 100000000,
          "name": "Ergo_bdb6dbdf_LP",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "b76f127515cb0278c29fc2c4810a92f3113904d9ff299fd6cd27538894042484",
      "value": 1000000,
      "index": 4,
      "spendingProof": "a1cb6b2004dbec66db46678e489e4b32c1b231e5023d8048a46b340d42fea5594d3827786ec85994614eb93dd421351ea60eea4ca9585e0c",
      "outputBlockId": "878395ae8f50076eeac8ec8b87e7763454f39dfa4cdb4f6bf9f5aa4080cdc35b",
      "outputTransactionId": "5887bcf82887ccbc795a581e731448ad8d762958fe86451462459529f36c3375",
      "outputIndex": 0,
      "outputGlobalIndex": 47495021,
      "outputCreatedAt": 1508458,
      "outputSettledAt": 1508461,
      "ergoTree": "0008cd026bc5d849581d171cd2b9b3b64887e3319bd4b52a63b72bb125cdde9050a4e0e4",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6bc5d8,4a53a1,...)))}",
      "address": "9fLXRjthKecc7LsHyQAF9w2DfqVbsFxsHqUBpz2ouBPYRmaBxfT",
      "assets": [
        {
          "tokenId": "b0c0efd3ad477c0790f9941f7fd6219b6daa81f5ebe2fe15f984a0749174b6e1",
          "index": 0,
          "amount": 1,
          "name": "Test NFT",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0e03bb9408154c47858ed547d874526978fbfe0e683125fbb696aa6fab86ae80",
          "index": 1,
          "amount": 1,
          "name": "Test NFT 01",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "383a913797177124c80dfd6a9c6a478c09bf8d472c88c7b3d9a8ca4cf230e2b4",
          "index": 2,
          "amount": 1,
          "name": "Test NFT 02",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "e28fdc1181e9b51f42ccdfeedc2a10434896eca354d50e786317558b2ebfb92c",
          "index": 3,
          "amount": 1,
          "name": "Test NFT 2",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "73636a531913d45e2249990aa8bfcd4e5c853b19e7b835cb51d05d6954119c78",
      "value": 1000000,
      "index": 5,
      "spendingProof": "1382c03796e10398f3577825088730fb1e8ce1b263c35a81043183a16ec3396e386a489169a00d09bdfab25c95aae2644adabe0d4d01384a",
      "outputBlockId": "b11ccd82b69f8fe79ede5ff8dfb3e5a362406b28b2a93d2eb2a23fa3e84a5e02",
      "outputTransactionId": "bed351b55551bade24008df98ff5fdea29bbfe4a1f2871f5d6aeb036bb6dbc05",
      "outputIndex": 0,
      "outputGlobalIndex": 47517564,
      "outputCreatedAt": 1509336,
      "outputSettledAt": 1509338,
      "ergoTree": "0008cd026bc5d849581d171cd2b9b3b64887e3319bd4b52a63b72bb125cdde9050a4e0e4",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6bc5d8,4a53a1,...)))}",
      "address": "9fLXRjthKecc7LsHyQAF9w2DfqVbsFxsHqUBpz2ouBPYRmaBxfT",
      "assets": [
        {
          "tokenId": "19b14267d2d8c4896da958c6eb56aa07d7a55ef5fd71dab87a6534af47cc2a5a",
          "index": 0,
          "amount": 1000000,
          "name": "Rugged",
          "decimals": 2,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "cb125cfc02b28a5acef814afe5adf53f59434e8d30f80d07fc93ebcf7c6e3c4c",
      "value": 1000000,
      "index": 6,
      "spendingProof": "8c8b0a4009a554c24fe7da8d20a41a04db0c25f21576d918261b82396bf2aaf4dd14808a946b12724d9295e856ce4ab7921b2530549aed0e",
      "outputBlockId": "4125a5861ef3c8f2467f36f58f48b52a36a10e5d49b0adf1964e7554026bdbaa",
      "outputTransactionId": "98ddfbe982081a2910af65b2e0579337d0b3c3375b28b5a0fb7e4906ba04435a",
      "outputIndex": 0,
      "outputGlobalIndex": 47764478,
      "outputCreatedAt": 1520706,
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      "ergoTree": "0008cd026bc5d849581d171cd2b9b3b64887e3319bd4b52a63b72bb125cdde9050a4e0e4",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6bc5d8,4a53a1,...)))}",
      "address": "9fLXRjthKecc7LsHyQAF9w2DfqVbsFxsHqUBpz2ouBPYRmaBxfT",
      "assets": [
        {
          "tokenId": "10f64bd87934c884d410cff7bc392bf5f61deba003c10e268b971b67462550d3",
          "index": 0,
          "amount": 1,
          "name": "Sigmanaut Mining DAO Back2Back Commemorative NFT #6",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
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      "value": 1546185155,
      "index": 7,
      "spendingProof": "a135e146790ade892e171a90181a733853588fc5e5940b62826ed4e179b934d2d40f3572183edfeef39e0a28277112e5c9094de43b2567b4",
      "outputBlockId": "0bf47026cbfaef2450ab8e4237e5f9d198f385af5da0ce8f4afd063752156894",
      "outputTransactionId": "ec4e785c27238d6ff65e2f037679f81964b35285c6d11b606b41e20a419cdf21",
      "outputIndex": 2,
      "outputGlobalIndex": 47979217,
      "outputCreatedAt": 1529695,
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      "ergoTree": "0008cd026bc5d849581d171cd2b9b3b64887e3319bd4b52a63b72bb125cdde9050a4e0e4",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6bc5d8,4a53a1,...)))}",
      "address": "9fLXRjthKecc7LsHyQAF9w2DfqVbsFxsHqUBpz2ouBPYRmaBxfT",
      "assets": [
        {
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          "index": 0,
          "amount": 13862,
          "name": "BURN",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "007fd64d1ee54d78dd269c8930a38286caa28d3f29d27cadcb796418ab15c283",
          "index": 1,
          "amount": 15130000,
          "name": "EXLE",
          "decimals": 4,
          "type": "EIP-004"
        },
        {
          "tokenId": "b0b312cde931c8bbdac0dac5bfd8e2c03bf4611275dc967988c8d15bd5ec20e0",
          "index": 2,
          "amount": 385,
          "name": "Bober",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "d84e540ab77876faa4e40a4479f340610bb6ad156a127672ff1ad6b0456547e9",
          "index": 3,
          "amount": 151303,
          "name": "Glitter",
          "decimals": 2,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
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      "value": 1000000,
      "index": 8,
      "spendingProof": "737ab7fd2bc7c19f96ccab8849b79a7519f5bfb8ead2056c69be7916eab267d3149094376ab983953672d34633b4924b1ca4e155404d61f9",
      "outputBlockId": "95bd3ac2d673998b3da8471b66569c6250324085bd1169997067ce932d13b562",
      "outputTransactionId": "4454a7f617c40d80b9491933e1d7d0634bb60fa7deaf8d9fe2d94547f8c408a5",
      "outputIndex": 2,
      "outputGlobalIndex": 48345284,
      "outputCreatedAt": 1546216,
      "outputSettledAt": 1546219,
      "ergoTree": "0008cd026bc5d849581d171cd2b9b3b64887e3319bd4b52a63b72bb125cdde9050a4e0e4",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6bc5d8,4a53a1,...)))}",
      "address": "9fLXRjthKecc7LsHyQAF9w2DfqVbsFxsHqUBpz2ouBPYRmaBxfT",
      "assets": [
        {
          "tokenId": "00b6f6e34943cef98f5302c54cf13a81f7ab5cd6af2d7b14cf51d835e4e8288c",
          "index": 0,
          "amount": 1,
          "name": "Sigmanaut",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "53f02a91a6e79264a048e79ef506de8fdd48c86790b900c05c5893a6fe10d96b",
      "value": 1000000000,
      "index": 0,
      "outputBlockId": "23c94deb8121036a5b3918c92061b1ce22f50cfe9eddae36e59c192166d72123",
      "outputTransactionId": "6a0107ac5dfabf21418217f5f73dd2e1afbc586d66a76f751526c86e2ee020cc",
      "outputIndex": 0,
      "ergoTree": "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",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "64c3304886c37ddc9c10620d2260693c33ba9a16a33cc50d80709639b115a4643206072000",
          "sigmaType": null,
          "renderedValue": null
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "5c4e1a5a0d3f7e7ee9de7f8ddede887299c1773c78dea70e09799364ec5962d0",
      "transactionId": "98eaa2777f46bd66dd708de040ea653ea75ce4305852e80ebefe8ec5d08ebdde",
      "blockId": "20326943c6353c62b8c1a0429a1a18caa95828b4cc502a3bf460851bf0a7e15b",
      "value": 1000000000,
      "index": 0,
      "globalIndex": 48346141,
      "creationHeight": 1546271,
      "settlementHeight": 1546273,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(48,-116,21,-33,-8,-92,-81,-69,-46,-102,-104,-5,-53,46,28,-114,-1,101,42,-60,70,-120,67,17,-32,76,-120,-14,76,67,-54,113)",
      "ergoTreeScript": "{\n  val coll1 = Coll[Byte](\n    -34.toByte, -82.toByte, -49.toByte, 91.toByte, 100.toByte, -70.toByte, -42.toByte, -11.toByte, 87.toByte, 11.toByte, -83.toByte, 10.toByte, 97.toByte, 12.toByte, 78.toByte, 72.toByte, 73.toByte, 87.toByte, -49.toByte, 71.toByte, -126.toByte, 48.toByte, -124.toByte, 0.toByte, -68.toByte, -112.toByte, 64.toByte, 76.toByte, 29.toByte, 20.toByte, 16.toByte, -38.toByte\n  )\n  val func2 = {(box2: Box) => box2.R4[AvlTree].get }\n  val func3 = {(tuple3: (Coll[Box], Coll[Byte])) =>\n    tuple3._1.filter({(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == tuple3._2 }) })\n  }\n  val box4 = func3((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)\n  val opt5 = getVar[Coll[Byte]](1.toByte)\n  val func6 = {(opt6: Option[Coll[Byte]]) => opt6.get.slice(1, 33) }\n  val func7 = {(box7: Box) => box7.tokens(0) }\n  val tuple8 = func7(SELF)\n  val box9 = func3((OUTPUTS, tuple8._1))(0)\n  val func10 = {(box10: Box) => box10.tokens(1) }\n  val func11 = {(coll11: Coll[Byte]) =>\n    val coll13 = func2(box4).getMany(Coll[Coll[Byte]](coll1, coll11), opt5.get)\n    allOf(\n      Coll[Boolean](\n        {(tuple14: (Coll[Box], Coll[Byte])) => tuple14._1.filter({(box16: Box) => blake2b256(box16.propositionBytes) == tuple14._2 }) }(\n          (INPUTS, func6(coll13(1)))\n        ).size == 1, {(coll14: Coll[Byte]) =>\n          allOf(Coll[Boolean](blake2b256(box9.propositionBytes) == coll14, func7(box9) == tuple8, func10(box9)._1 == func10(SELF)._1))\n        }(func6(coll13(0)))\n      )\n    )\n  }\n  val b12 = getVar[Byte](0.toByte).get\n  val i13 = INPUTS.indexOf(SELF, 0)\n  val func14 = {(l14: Long) =>\n    if (l14 < 128L) { 1 } else {\n      if (l14 < 16384L) { 2 } else {\n        if (l14 < 2097152L) { 3 } else {\n          if (l14 < 268435456L) { 4 } else {\n            if (l14 < 34359738368L) { 5 } else {\n              if (l14 < 4398046511104L) { 6 } else { if (l14 < 562949953421312L) { 7 } else { if (l14 < 72057594037927936L) { 8 } else { 9 } } }\n            }\n          }\n        }\n      }\n    }\n  }\n  sigmaProp(\n    anyOf(\n      Coll[Boolean](\n        {(b15: Byte) =>\n          if (b15 == 0.toByte) {\n            func11(\n              Coll[Byte](\n                3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 2.toByte) {\n            func11(\n              Coll[Byte](\n                -117.toByte, -57.toByte, -113.toByte, 28.toByte, 106.toByte, -82.toByte, -55.toByte, 30.toByte, 98.toByte, -114.toByte, 21.toByte, -49.toByte, 102.toByte, -116.toByte, 22.toByte, -52.toByte, 30.toByte, -101.toByte, -40.toByte, -28.toByte, -71.toByte, -73.toByte, -31.toByte, 109.toByte, 99.toByte, 24.toByte, -75.toByte, -11.toByte, 35.toByte, -91.toByte, -23.toByte, -67.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 1.toByte) {\n            func11(\n              Coll[Byte](\n                -120.toByte, 48.toByte, 97.toByte, 44.toByte, 82.toByte, 53.toByte, 95.toByte, 111.toByte, 40.toByte, 13.toByte, 18.toByte, -105.toByte, -15.toByte, -97.toByte, 103.toByte, -80.toByte, 120.toByte, -55.toByte, -38.toByte, -89.toByte, -41.toByte, -80.toByte, 75.toByte, 69.toByte, -100.toByte, -111.toByte, -52.toByte, 100.toByte, 73.toByte, 87.toByte, -62.toByte, -128.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 3.toByte) {\n            func11(\n              Coll[Byte](\n                79.toByte, -40.toByte, -80.toByte, -42.toByte, -39.toByte, -126.toByte, 66.toByte, 114.toByte, 111.toByte, 87.toByte, -77.toByte, -33.toByte, -90.toByte, -122.toByte, 18.toByte, 103.toByte, -110.toByte, -72.toByte, -27.toByte, 5.toByte, 110.toByte, 29.toByte, 81.toByte, -74.toByte, -23.toByte, 13.toByte, 104.toByte, -128.toByte, -49.toByte, 45.toByte, -51.toByte, -59.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 4.toByte) {\n            func11(\n              Coll[Byte](\n                -119.toByte, 46.toByte, 111.toByte, 71.toByte, -95.toByte, 13.toByte, 92.toByte, -112.toByte, -72.toByte, 122.toByte, -44.toByte, -122.toByte, 51.toByte, 85.toByte, -50.toByte, -83.toByte, 0.toByte, -61.toByte, -30.toByte, -104.toByte, 50.toByte, 23.toByte, -18.toByte, 21.toByte, 83.toByte, 50.toByte, 83.toByte, -51.toByte, -102.toByte, 96.toByte, 37.toByte, -62.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 5.toByte) {\n            func11(\n              Coll[Byte](\n                58.toByte, 17.toByte, -107.toByte, 92.toByte, 71.toByte, 25.toByte, -27.toByte, -120.toByte, -68.toByte, -26.toByte, -89.toByte, 97.toByte, 29.toByte, 39.toByte, -67.toByte, 31.toByte, -33.toByte, -37.toByte, 87.toByte, 56.toByte, 92.toByte, -82.toByte, -30.toByte, 102.toByte, -40.toByte, 4.toByte, 12.toByte, -119.toByte, 79.toByte, 28.toByte, 46.toByte, 29.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) =>\n          if (b15 == 6.toByte) {\n            func11(\n              Coll[Byte](\n                9.toByte, -126.toByte, 15.toByte, -53.toByte, -120.toByte, 113.toByte, -5.toByte, 69.toByte, 12.toByte, 62.toByte, 6.toByte, -73.toByte, -53.toByte, 94.toByte, 39.toByte, -80.toByte, 69.toByte, 80.toByte, -121.toByte, -93.toByte, 102.toByte, 98.toByte, 26.toByte, -99.toByte, -34.toByte, 117.toByte, -126.toByte, -96.toByte, 25.toByte, 17.toByte, 30.toByte, 62.toByte\n              )\n            )\n          } else { false }\n        }(b12), {(b15: Byte) => if (b15 == 7.toByte) { {(tuple17: (Coll[Byte], Box)) => if (i13 >= OUTPUTS.size) { false } else {(\n                val box19 = OUTPUTS(i13)\n                val l20 = box19.value\n                val l21 = SELF.value\n                val coll22 = box19.propositionBytes\n                val coll23 = SELF.bytesWithoutRef\n                val coll24 = SELF.propositionBytes\n                val i25 = SELF.creationInfo._1\n                val coll26 = box19.bytesWithoutRef\n                val i27 = box19.creationInfo._1\n                allOf(Coll[Boolean](l20 >= l21 - 2000000L, blake2b256(coll22) == func6(func2(tuple17._2).getMany(Coll[Coll[Byte]](tuple17._1), opt5.getOrElse(Coll[Byte]()))(0)), coll23.slice(func14(l21) + coll24.size + func14(i25.toLong), coll23.size) == coll26.slice(func14(l20) + coll22.size + func14(i27.toLong), coll26.size), anyOf(Coll[Boolean](i27 - i25 >= 504000, coll24 != coll22))))\n              )} }((coll1, box4)) } else { false } }(b12)\n      )\n    )\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "9b7ea8b9abab7d2e60a5d92c6b1939af1a7c13985a942eed94e3dc5aaf37bc83",
          "index": 0,
          "amount": 1,
          "name": "Sigmanauts Stake State",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "00b6f6e34943cef98f5302c54cf13a81f7ab5cd6af2d7b14cf51d835e4e8288c",
          "index": 1,
          "amount": 19,
          "name": "Sigmanaut",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1107d0ef84a4f46524220c0c0000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1750773832680,18,17,6,6,0,0]"
        },
        "R6": {
          "serializedValue": "1d0501220100010001320132",
          "sigmaType": "Coll[Coll[SLong]]",
          "renderedValue": "[[17],[0],[0],[25],[25]]"
        },
        "R8": {
          "serializedValue": "11020000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0]"
        },
        "R7": {
          "serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
          "sigmaType": null,
          "renderedValue": null
        },
        "R4": {
          "serializedValue": "0c6402e282efb246dbe7d2f0d177d29ec18f83392dfcf826515368c627c5c71e0b278505072000da2b5a402805e49236d4a65c0072ff255413c0d8f9830ef3c02fc65a4e0f4f1403072000",
          "sigmaType": null,
          "renderedValue": null
        }
      },
      "spentTransactionId": "846024bbbded39778dc674fb574b6eb05fdd13f00ee91ffa61acafab06d2e997",
      "mainChain": true
    },
    {
      "boxId": "51f6fe2ff1da79866dc7adbf2ea3c37212d35f24dd4c9f1e730e5058d0e3c96c",
      "transactionId": "98eaa2777f46bd66dd708de040ea653ea75ce4305852e80ebefe8ec5d08ebdde",
      "blockId": "20326943c6353c62b8c1a0429a1a18caa95828b4cc502a3bf460851bf0a7e15b",
      "value": 100000000,
      "index": 1,
      "globalIndex": 48346142,
      "creationHeight": 1546271,
      "settlementHeight": 1546273,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(48,-116,21,-33,-8,-92,-81,-69,-46,-102,-104,-5,-53,46,28,-114,-1,101,42,-60,70,-120,67,17,-32,76,-120,-14,76,67,-54,113)\n1: Coll(-101,126,-88,-71,-85,-85,125,46,96,-91,-39,44,107,25,57,-81,26,124,19,-104,90,-108,46,-19,-108,-29,-36,90,-81,55,-68,-125)",
      "ergoTreeScript": "{\n  val func1 = {(tuple1: (Coll[Box], Coll[Byte])) =>\n    tuple1._1.filter({(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == tuple1._2 }) })\n  }\n  val coll2 = placeholder[Coll[Byte]](1)\n  val box3 = func1((OUTPUTS, coll2))(0)\n  val box4 = func1((INPUTS, coll2))(0)\n  val func5 = {(box5: Box) =>\n    val coll7 = box5.tokens\n    coll7.slice(2, coll7.size)\n  }\n  val func6 = {(box6: Box) => box6.R4[Coll[AvlTree]].get(1) }\n  val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(0) }\n  val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(3) }\n  val func9 = {(box9: Box) => box9.R5[Coll[Long]].get(4) }\n  val func10 = {(box10: Box) =>\n    val coll12 = box10.R5[Coll[Long]].get\n    coll12.slice(5, coll12.size)\n  }\n  val func11 = {(box11: Box) => box11.R6[Coll[Coll[Long]]].get }\n  val func12 = {(box12: Box) => box12.R7[Coll[(AvlTree, AvlTree)]].get }\n  val func13 = {(box13: Box) => box13.R8[Coll[Long]].get }\n  val coll14 = INPUTS(0).id\n  val coll15 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n  val tuple16 = coll15(0)\n  val coll17 = tuple16._2\n  val l18 = {(coll18: Coll[Byte]) => byteArrayToLong(coll18.slice(8, 16)) }(coll17)\n  val func19 = {(box19: Box) => box19.tokens(1) }\n  val func20 = {(box20: Box) => box20.R5[Coll[Long]].get(1) }\n  val func21 = {(box21: Box) => box21.R4[Coll[AvlTree]].get(0) }\n  val func22 = {(box22: Box) => box22.R5[Coll[Long]].get(2) }\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        allOf(\n          Coll[Boolean](\n            box3.value >= box4.value, func5(box3) == func5(box4), func6(box3) == func6(box4), func7(box3) == func7(box4), func8(box3) == func8(box4), func9(\n              box3\n            ) == func9(box4), func10(box3) == func10(box4), func11(box3) == func11(box4), func12(box3) == func12(box4), func13(box3) == func13(box4)\n          )\n        ), coll14 == tuple16._1, {(tuple23: (Coll[Box], Coll[Byte])) =>\n          tuple23._1.flatMap({(box25: Box) => box25.tokens }).fold(0L, {(tuple25: (Long, (Coll[Byte], Long))) =>\n              val tuple27 = tuple25._2\n              tuple25._1 + if (tuple27._1 == tuple23._2) { tuple27._2 } else { 0L }\n            })\n        }((OUTPUTS, coll14)) == 1L, (l18 == func19(box3)._2 - func19(box4)._2) && (l18 == func20(box3) - func20(box4)), coll15.size == 1, func21(box4).insert(\n          coll15, getVar[Coll[Byte]](2.toByte).get\n        ).get.digest == func21(box3).digest, {(coll23: Coll[Byte]) => coll23.slice(0, coll23.size - 16 / 8).indices.map({(i25: Int) =>\n              val i27 = i25 * 8\n              byteArrayToLong(coll23.slice(i27 + 16, i27 + 8 + 16))\n            }) }(coll17).forall({(l23: Long) => l23 == 0L }), {(tuple23: (Coll[Box], Coll[Byte])) =>\n          tuple23._1.filter({(box25: Box) => blake2b256(box25.propositionBytes) == tuple23._2 })\n        }(\n          (\n            OUTPUTS, {(opt23: Option[Coll[Byte]]) => opt23.get.slice(1, 33) }(\n              {(box23: Box) => box23.R4[AvlTree].get }(func1((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n                Coll[Coll[Byte]](\n                  Coll[Byte](\n                    3.toByte, -110.toByte, 8.toByte, -68.toByte, 78.toByte, -17.toByte, -102.toByte, 3.toByte, -24.toByte, -41.toByte, -117.toByte, -122.toByte, 99.toByte, -93.toByte, 1.toByte, -69.toByte, 95.toByte, -83.toByte, -36.toByte, -89.toByte, -117.toByte, -31.toByte, -99.toByte, 127.toByte, -27.toByte, 53.toByte, -77.toByte, -58.toByte, 76.toByte, -66.toByte, -2.toByte, 66.toByte\n                  )\n                ), getVar[Coll[Byte]](0.toByte).get\n              )(0)\n            )\n          )\n        )(0).value >= SELF.value, func22(box4) + 1L == func22(box3), {(coll23: Coll[Byte]) => byteArrayToLong(coll23.slice(0, 8)) }(coll17) == 0L, l18 > 0L\n      )\n    )\n  )\n}",
      "address": "2jgvrzz6PLUNNKjiHAHE7xEPxxG3TJr6FsHWPsbNuWQVZJpd835rwuiaPoeVfzsF2wcYV4deMMqVj6rGHwXm6LukBw56uFDS6YcSsdhjiy5sCehm2aNMLMebZGtpev9f3n6aGEcP8p6E642e9vMYrtD1ro2XjhDxjsXRxMjwYQV76yGjE2Z4CLWiLNGRipYikm624xLon7vw7KJRzcxZj9jd6yrWdyT6RVwfxKAwRR5oS8LYoZYQdZUijyajNCr1zhLqsVbWt4FyVqDtwZUWUJzt53yLUBqAHs1JX8pABr8hXkHwaA4E8YhcQnK11WPRFttNSvi49UcHD3q8bMWJwaoJtXkDDa4pwbrAv5HsSeqP7nTfLxL8j7UPDZcEQBJnQ7ha4s4mKp7yvTauPXx2ysrATKk1szrPHsHEnaq4JyKQDAc2NBHMHTc3ZyVbqmBdAU1JrRn97aXJ5uzNrgRTa7RPrUi2GN91kgEY1APPLH3ceFmwS4EA6Kuy566KurUSbXsjwCLrij6P6xyamFg8UfyEi726gnvWGvgm9Wb3jTBW4hYRPXNKnG3LpfsRcno5ko9PNz2M4ZpdCJoLgx252sS4SmGuYB2LtFSgBwYTTTVj1jPVrNgDarHJfU1LayPnW4JJTY21FBsnBD9mhKprfUp39S8wqTZck6SdFg2h4caBskatKSPtuaYwHukV7CyJ5qNkN8VXYkMcsUvfeTAVfRrVeaBFdu4YuJTWdXZfSi7TWVFGwZUebx3CNEDJrgR2U7oeRY8G8UvYc7CVx78indc9gBNVdUQcmh9HxBWqtSw4UDQwtG9VqVPq1BR49ouWD9VX3ZKDRmdv3q3jyE2i2pAieXUECjVmm2nfuW7TubDw4S5YeTYahp8b3hgdC6HZWyRirhYBNdbm8Wpp2SQNFvM6zvvXBWT64UKdaEyedbjtTvpUiZxTfQicQsDtJRrTwNZAM3fTAR7KbYDU5J8ehCvzz6xVvNdaCRSwxxniimwUqb8L6Pu88x2YQ7KAq148frxPcFeiinfrRAN3BESbTC6zSvovGLNjUmnf9uF7Z863pgMz2GHen2fUjLnUuDRYxVjBMLaVdUk5pubAm4rKmLpGYEQq3KaLjstyvynhELGKWE3KzHXuPsXiFTmV3x8t1eCCWK3zSwg4GuE2HYDn929LTmvPPwuGWhp8hqHjtYKRMfyzMRYQCeyxj9gAaUJPVPtECnGVHHhBk1NTRhoxnRTzGScjTYpuvCc6AGiFBvEbg8xDR2VLgjr2cTZTFitmgR4LvikFffoFahrkAPTvL5BnandZv2Qw8aGKLEu",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "e64e3c8b68c422615aaa6927982405318a0242a90f04f5b3a5b17aaeeba65e0f",
      "mainChain": true
    },
    {
      "boxId": "3dc0f2806ec7fec752182c1151e6ea94a768c2c2b52669feee29cdd86d77c773",
      "transactionId": "98eaa2777f46bd66dd708de040ea653ea75ce4305852e80ebefe8ec5d08ebdde",
      "blockId": "20326943c6353c62b8c1a0429a1a18caa95828b4cc502a3bf460851bf0a7e15b",
      "value": 1000000,
      "index": 2,
      "globalIndex": 48346143,
      "creationHeight": 1546271,
      "settlementHeight": 1546273,
      "ergoTree": "0008cd026bc5d849581d171cd2b9b3b64887e3319bd4b52a63b72bb125cdde9050a4e0e4",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6bc5d8,4a53a1,...)))}",
      "address": "9fLXRjthKecc7LsHyQAF9w2DfqVbsFxsHqUBpz2ouBPYRmaBxfT",
      "assets": [
        {
          "tokenId": "7e0ffa300233666c35e3b92b2bb84b2995997af076e2a57134b0e6fae44129f5",
          "index": 0,
          "amount": 1,
          "name": "Sigmanauts Membership",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e155369676d616e61757473204d656d62657273686970",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5369676d616e61757473204d656d62657273686970"
        },
        "R5": {
          "serializedValue": "0e385369676d616e61757473202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5369676d616e61757473202d20506f77657265642062792050616964656961202d2068747470733a2f2f6170702e706169646569612e696d"
        },
        "R6": {
          "serializedValue": "0e0130",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "30"
        }
      },
      "spentTransactionId": "846024bbbded39778dc674fb574b6eb05fdd13f00ee91ffa61acafab06d2e997",
      "mainChain": true
    },
    {
      "boxId": "bcd384956f25c1da9d30c9be7769a33cbb0416d6c15ef199633daf4946370323",
      "transactionId": "98eaa2777f46bd66dd708de040ea653ea75ce4305852e80ebefe8ec5d08ebdde",
      "blockId": "20326943c6353c62b8c1a0429a1a18caa95828b4cc502a3bf460851bf0a7e15b",
      "value": 50000000,
      "index": 3,
      "globalIndex": 48346144,
      "creationHeight": 1546271,
      "settlementHeight": 1546273,
      "ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
      "address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "eebbf4a25575b0fd9e4d8e80650d8c6120c6b4b8c3571bee76c1b18dc9ca5a77",
      "mainChain": true
    },
    {
      "boxId": "98f05d9df265193df99d3c79e16e9de938429626172cd43e24ddcab8854b77be",
      "transactionId": "98eaa2777f46bd66dd708de040ea653ea75ce4305852e80ebefe8ec5d08ebdde",
      "blockId": "20326943c6353c62b8c1a0429a1a18caa95828b4cc502a3bf460851bf0a7e15b",
      "value": 2350000,
      "index": 4,
      "globalIndex": 48346145,
      "creationHeight": 1546271,
      "settlementHeight": 1546273,
      "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": "244f3c8859192cdce6ff34cd6b51f30401cc623fb7d25aac50045c86801be6a1",
      "mainChain": true
    },
    {
      "boxId": "def58e8aaa31f7acfe00305b770d635da585711e000515aee77719486d463439",
      "transactionId": "98eaa2777f46bd66dd708de040ea653ea75ce4305852e80ebefe8ec5d08ebdde",
      "blockId": "20326943c6353c62b8c1a0429a1a18caa95828b4cc502a3bf460851bf0a7e15b",
      "value": 1497900675,
      "index": 5,
      "globalIndex": 48346146,
      "creationHeight": 1546271,
      "settlementHeight": 1546273,
      "ergoTree": "0008cd026bc5d849581d171cd2b9b3b64887e3319bd4b52a63b72bb125cdde9050a4e0e4",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6bc5d8,4a53a1,...)))}",
      "address": "9fLXRjthKecc7LsHyQAF9w2DfqVbsFxsHqUBpz2ouBPYRmaBxfT",
      "assets": [
        {
          "tokenId": "b0b312cde931c8bbdac0dac5bfd8e2c03bf4611275dc967988c8d15bd5ec20e0",
          "index": 0,
          "amount": 385,
          "name": "Bober",
          "decimals": 3,
          "type": "EIP-004"
        },
        {
          "tokenId": "d1d2ae2ac0456aa43550dd4fda45e4f866d523be9170d3a3e4cab43a83926334",
          "index": 1,
          "amount": 6084,
          "name": "GreasyCex",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "2a4db3601ab5835392d5202b3f88c13932f338c539ba5f131fb1370bf60f32b3",
          "index": 2,
          "amount": 100000,
          "name": "Gyros",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "007fd64d1ee54d78dd269c8930a38286caa28d3f29d27cadcb796418ab15c283",
          "index": 3,
          "amount": 15130000,
          "name": "EXLE",
          "decimals": 4,
          "type": "EIP-004"
        },
        {
          "tokenId": "0e03bb9408154c47858ed547d874526978fbfe0e683125fbb696aa6fab86ae80",
          "index": 4,
          "amount": 1,
          "name": "Test NFT 01",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "10f64bd87934c884d410cff7bc392bf5f61deba003c10e268b971b67462550d3",
          "index": 5,
          "amount": 1,
          "name": "Sigmanaut Mining DAO Back2Back Commemorative NFT #6",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "391842ba510a5b90e7505690e2a43544d8509f68a8f2b9b2b0a6c31547b5bf52",
          "index": 6,
          "amount": 100000000,
          "name": "Ergo_bdb6dbdf_LP",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "72f0c249977e2bfd758e54640cb456ceba0b4e3f2989ba0ebff92d53e9e7763c",
          "index": 7,
          "amount": 3,
          "name": "dandelions",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "d84e540ab77876faa4e40a4479f340610bb6ad156a127672ff1ad6b0456547e9",
          "index": 8,
          "amount": 151303,
          "name": "Glitter",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "19b14267d2d8c4896da958c6eb56aa07d7a55ef5fd71dab87a6534af47cc2a5a",
          "index": 9,
          "amount": 1000000,
          "name": "Rugged",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "e28fdc1181e9b51f42ccdfeedc2a10434896eca354d50e786317558b2ebfb92c",
          "index": 10,
          "amount": 1,
          "name": "Test NFT 2",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "383a913797177124c80dfd6a9c6a478c09bf8d472c88c7b3d9a8ca4cf230e2b4",
          "index": 11,
          "amount": 1,
          "name": "Test NFT 02",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "b0c0efd3ad477c0790f9941f7fd6219b6daa81f5ebe2fe15f984a0749174b6e1",
          "index": 12,
          "amount": 1,
          "name": "Test NFT",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "a399dcd79a68eea82df4e9b30a11c61a96a671e767924c0cef2148fec9270df6",
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