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Inputs (3)
Output transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.001 ERG
Output transaction:
Settlement height:
Value:
664.07 ERG
Tokens:
Loading assets...
Outputs (6)
Spent in transaction:
Settlement height:
Value:
1 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
749,999.90
Spent in transaction:
Settlement height:
Value:
0.1 ERG
Spent in transaction:
Settlement height:
Value:
0.00235 ERG
Spent in transaction:
Settlement height:
Value:
663.96 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 5.67 KB
Received time: 11/13/2024 10:58:17 PM
Included in blocks: 1,395,130
Confirmations: 363,228
Total coins transferred: 665.07 ERG
Fees: 0.00235 ERG
Fees per byte: 0.000000405 ERG
Raw Transaction Data
{
  "id": "2199c3376aee64ffbf7f843eaf379d8da69bee6fcac8d4e8de66d001a86b406e",
  "blockId": "5f5b8c90b033cd0b190f657fb72c783b9edab564295d33d9a1d90b922e417b2d",
  "inclusionHeight": 1395130,
  "timestamp": 1731538697060,
  "index": 3,
  "globalIndex": 8052075,
  "numConfirmations": 363228,
  "inputs": [
    {
      "boxId": "c61a6b605f0c9721846f6223bd94d1c1c700bd4f16693a5238c83f7bf36795d5",
      "value": 1000000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "36949b1ea1b10633172ca9274b3c5981921efee1138fa314f0f02e2919135dc5",
      "outputTransactionId": "b167bb8b76fa9e344e552992e977b6b568bedbf6989e17b5daac518fb891a61f",
      "outputIndex": 0,
      "outputGlobalIndex": 43871043,
      "outputCreatedAt": 1395077,
      "outputSettledAt": 1395079,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)",
      "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": "233536261ad8920b85644d30fff8e68c470470138950317ad520b300e8c1e573",
          "index": 0,
          "amount": 1,
          "name": "Paideia Stake State",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
          "index": 1,
          "amount": 57124147712,
          "name": "Paideia",
          "decimals": 4,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110780e8a6f2e764fec7eacda9031806f4acdf88100000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1731931200000,57124147711,12,3,2156653370,0,0]"
        },
        "R6": {
          "serializedValue": "1d0501c2e984b6dd020108019af68e983401140114",
          "sigmaType": "Coll[Coll[SLong]]",
          "renderedValue": "[[46898649697],[4],[7004609933],[10],[10]]"
        },
        "R8": {
          "serializedValue": "11020000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0]"
        },
        "R7": {
          "serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000fa9a547bbbadfdd83a7d95ab64e775845fe5b0670109b97a4b39d1e541bb50e903072000",
          "sigmaType": null,
          "renderedValue": null
        },
        "R4": {
          "serializedValue": "0c64024d0af6cacbfab7a243991df22590d4cba93c8ebf1f97ac61ff00f13b5a7005ec04072000765f1349ec1e32c76d8538ab38ac1d6e6a24a4381e56aeca9a6151bfe90f96a202072000",
          "sigmaType": null,
          "renderedValue": null
        }
      }
    },
    {
      "boxId": "1c1c4a706191c4b4e4f197f1a2e0cc4ce3884e635e34bf893f45f8d1b1628c1e",
      "value": 1000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "0953d281e1ce654f32e7e9f75a2cf59e26661331c3acf2c339c55b84534f1e2f",
      "outputTransactionId": "2fed64370c84d3975c8f5cf64fc383f93d0a7b1929d58e5986a5a9ce135a28af",
      "outputIndex": 2,
      "outputGlobalIndex": 43408836,
      "outputCreatedAt": 1380378,
      "outputSettledAt": 1380380,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(35,53,54,38,26,-40,-110,11,-123,100,77,48,-1,-8,-26,-116,71,4,112,19,-119,80,49,122,-43,32,-77,0,-24,-63,-27,115)",
      "ergoTreeScript": "{\n  val func1 = {(box1: Box) => box1.R4[Coll[AvlTree]].get(1) }\n  val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n    tuple2._1.filter({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n  }\n  val coll3 = placeholder[Coll[Byte]](1)\n  val box4 = func2((OUTPUTS, coll3))(0)\n  val box5 = func2((INPUTS, coll3))(0)\n  val func6 = {(box6: Box) => box6.R5[Coll[Long]].get(0) }\n  val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(3) }\n  val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(4) }\n  val func9 = {(box9: Box) =>\n    val coll11 = box9.R5[Coll[Long]].get\n    coll11.slice(5, coll11.size)\n  }\n  val func10 = {(box10: Box) => box10.R6[Coll[Coll[Long]]].get }\n  val func11 = {(box11: Box) => box11.R7[Coll[(AvlTree, AvlTree)]].get }\n  val func12 = {(box12: Box) => box12.R8[Coll[Long]].get }\n  val coll13 = getVar[Coll[Coll[Byte]]](1.toByte).get\n  val coll14 = coll13(0)\n  val func15 = {(box15: Box) => box15.R4[Coll[AvlTree]].get(0) }\n  val avlTree16 = func15(box5)\n  val coll17 = avlTree16.get(coll14, getVar[Coll[Byte]](2.toByte).get).get\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 coll21 = {(opt21: Option[Coll[Byte]]) => opt21.get.slice(1, 33) }(\n    {(box21: Box) => box21.R4[AvlTree].get }(func2((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n      Coll[Coll[Byte]](\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      ), getVar[Coll[Byte]](0.toByte).get\n    )(0)\n  )\n  val box22 = {(tuple22: (Coll[Box], Coll[Byte])) => tuple22._1.filter({(box24: Box) => blake2b256(box24.propositionBytes) == tuple22._2 }) }(\n    (OUTPUTS, coll21)\n  )(0)\n  val func23 = {(box23: Box) => box23.R5[Coll[Long]].get(2) }\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        allOf(\n          Coll[Boolean](\n            func1(box4) == func1(box5), func6(box4) == func6(box5), func7(box4) == func7(box5), func8(box4) == func8(box5), func9(box4) == func9(box5), func10(\n              box4\n            ) == func10(box5), func11(box4) == func11(box5), func12(box4) == func12(box5)\n          )\n        ), {(tuple24: (Coll[Box], Coll[Byte])) =>\n          tuple24._1.exists({(box26: Box) => box26.tokens.exists({(tuple28: (Coll[Byte], Long)) => tuple28._1 == tuple24._2 }) })\n        }((INPUTS, coll14)), allOf(Coll[Boolean](l18 == func19(box5)._2 - func19(box4)._2, l18 == func20(box5) - func20(box4))), {(coll24: Coll[Byte]) =>\n          coll24.slice(0, coll24.size - 16 / 8).indices.map({(i26: Int) =>\n              val i28 = i26 * 8\n              byteArrayToLong(coll24.slice(i28 + 16, i28 + 8 + 16))\n            })\n        }(coll17)(0) == box5.value - box4.value, coll13.size == 1, avlTree16.remove(coll13, getVar[Coll[Byte]](3.toByte).get).get.digest == func15(\n          box4\n        ).digest, allOf(Coll[Boolean](blake2b256(box22.propositionBytes) == coll21, box22.value >= SELF.value)), func23(box5) - 1L == func23(\n          box4\n        ), CONTEXT.preHeader.timestamp > {(coll24: Coll[Byte]) => byteArrayToLong(coll24.slice(0, 8)) }(coll17)\n      )\n    )\n  )\n}",
      "address": "NXqQY2jwRQ2m4d1dCGrk4j2rtGBGPU2X3BmicpHv8XBVhwUNn8t7tD7TSe2mmYHB5bFpDgPtkwT3VpVjEnZ5NDaKXxThahYkmnEfX5jBrUbrBxVMPzhgAtgey3iT5End1qTcidvtMoFhofdnLk1s4SXV9qSayN4BfNLBhYDUfLRqJvM2Ad8Qb5WkipjBKNQfdAyMor4UhdQE8gZx4G8a88iPvYn7Uo8rGaLsuw8peTgosVGEECgDHndu9Wjwth1Ae3kw4P4fr4b8sosVC5WvrZo6oLet1UAmhbTC38Stp9nALnPk6DWGnAQz5gW3wpTphfp9QMLvocBxZ8Mxa2nXLZx3r2nQ58zSfgCe7Yha9VUfDKMmrefzbG6vWcwyXfAQhoATo9aWdohJw583FrXAe6f3F74JEr7DUAubcAmT5jAdmztgNs5vTb6EbDrLgzFBYtdASF7MQZHiRizSQ5TJnFA73GovJrSrEfMuryiFh3tJznM48u9uK1Lydz4BaCQxU1mprRYVPL3PsV9dRxZu96ocJzDLx9zWQNCVw9XxSJqTnvLJ58VRhGvWEqSLzyJt6SVoadVQuG6pQBJMPsH7MbjuHzYgo1dz4w4VjRN3Z4t3YY7h3btryU1umK26tgPVnQhGsU9nCNDGEuVD9VZgVeyWobqZePD8f1VxUaK55W2cLfUYz3gzj9tPFgwThXyiQUFwQQadAow4X82xybAW2g8yp4v75AGmEGjUDMsggsvQ5ofd8SP6mKbh26xwfnxiDDrb5ek5pAF3MvkW8fSMFKrZRGGwWBowVwHUv9D8CsohyDmYVqa4m1zqeYuzxFXvdds25MXHkXir2V4mnxmuNCrCt1uoaHmxwNdBNqYoiBZR2icCVGnw9Vciwimvj3zdLHM38L8U5e1yFVPosa5uifZrBmLwtBVUXXin1VyRDifY997jKYDvaarbCbDkY43n7X3Uxf564shg9b1sfU4cRBCETa8YTRLEunmXUFqsyyYnrXAoE7H5XRFTGDobgtGKkwZqYZGojReotmVaYagz8h8JaaVg2UAkwQxzUsZcYh5xX12SLjsAGxj8MjHT9asNoqNNBePJUZpqTWUSKQRsxhRr81a5mmtRMGEzLxHzAEDS7KMkhMBNZGQgeteggbDvSWRgazxUUwcHeRDV3iZPoBs61A5GppDrQJx49ApeWmjrhvJeT6kiWWfLPsS8UkyutKc39x7Tp5TvxzH6dL4kQCcwLyCtu2",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "9c78bba015b6fef19f0dbf1d263739ad1ed6152d9d5ca9d46d1bd4dc58cfd3fa",
      "value": 664067295812,
      "index": 2,
      "spendingProof": "23edbf1a43cfbe2e6bdf8c12da6ab8436f4f4689c55a27b6d690bccd3962c9336ed7389f61ec4c1a0ea40abcb142031a20839019d2aa1813",
      "outputBlockId": "39fd6c72a5696f780b699aa371211b096361c7abc8bd828f6c2a913d2d45a521",
      "outputTransactionId": "77371df4d13b055b5c3071150d45daaf89af171c9f4317c2c67ab584c6b86907",
      "outputIndex": 1,
      "outputGlobalIndex": 43863708,
      "outputCreatedAt": 1394938,
      "outputSettledAt": 1394940,
      "ergoTree": "0008cd02274df75ac4bca58cfb8beeef45c22eb2d2ceba03286c4b6717a8bf897c69c391",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(274df7,a30f0e,...)))}",
      "address": "9epNVneeDQT1tvgDpM991AQjcECKJEWkYUEeigzLWhQ6d1Lov3b",
      "assets": [
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          "type": "EIP-004"
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        },
        {
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      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "05dfc508",
          "sigmaType": "SLong",
          "renderedValue": "-70000"
        },
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          "sigmaType": "SLong",
          "renderedValue": "-598366244000"
        }
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    }
  ],
  "dataInputs": [
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      "outputTransactionId": "28a7d9c5ffb0350ac8dfa9d4d2b94d1b68836fd5896d04e3958db95802b5961d",
      "outputIndex": 0,
      "ergoTree": "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",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "64ed9d1be689a78f6a46a22fa3de3da4b5303e5189aece0f91ad8f5e384274c16a07072000",
          "sigmaType": null,
          "renderedValue": null
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "19b89062a38c0e9b411478a184b7916a7f0f59bc7c39c40c98ca27505e643f0d",
      "transactionId": "2199c3376aee64ffbf7f843eaf379d8da69bee6fcac8d4e8de66d001a86b406e",
      "blockId": "5f5b8c90b033cd0b190f657fb72c783b9edab564295d33d9a1d90b922e417b2d",
      "value": 1000000000,
      "index": 0,
      "globalIndex": 43872278,
      "creationHeight": 1395127,
      "settlementHeight": 1395130,
      "ergoTree": "10010e201b4b8b789fdd4a34c5f1cf73b4d99a5cacb8ccba75265f6edf4950893b162f07d80ed60183200202de02ae02cf025b026402ba02d602f50257020b02ad020a0261020c024e02480249025702cf0247028202300284020002bc02900240024c021d0214021002dad602d9010263e4c672020464d603d901033c0c630eb58c720301d9010563aedb63087205d901074d0e938c7207018c720302d604b2da7203018602db6501fe7300040000d605e3010ed606d9010632b4e4720604020442d607d9010763b2db63087207040000d608da720701a7d609b2da7203018602a58c720801040000d60ad9010a63b2db6308720a040200d60bd9010b0ed801d60ddc640bda72020172040283020e7201720be472059683020193b1dad9010e3c0c630eb58c720e01d901106393cbc272108c720e02018602a4da720601b2720d0402000402dad9010e0e9683030193cbc27209720e93da72070172097208938cda720a017209018cda720a01a70101da720601b2720d040000d60ce4e30002d60ddc0c1aa402a70400d60ed9010e05958f720e0580020402958f720e058080020404958f720e05808080020406958f720e0580808080020408958f720e05808080808002040a958f720e0580808080808002040c958f720e058080808080808002040e958f720e0580808080808080800204100412d197830801dad9010f029593720f0200da720b0183200202030292020802bc024e02ef029a020302e802d7028b0286026302a3020102bb025f02ad02dc02a7028b02e1029d027f02e5023502b302c6024c02be02fe0242010001720cdad9010f029593720f0202da720b01832002028b02c7028f021c026a02ae02c9021e0262028e021502cf0266028c021602cc021e029b02d802e402b902b702e1026d0263021802b502f5022302a502e902bd010001720cdad9010f029593720f0201da720b01832002028802300261022c02520235025f026f0228020d0212029702f1029f026702b0027802c902da02a702d702b0024b0245029c029102cc02640249025702c20280010001720cdad9010f029593720f0203da720b01832002024f02d802b002d602d9028202420272026f025702b302df02a6028602120267029202b802e50205026e021d025102b602e9020d0268028002cf022d02cd02c5010001720cdad9010f029593720f0204da720b018320020289022e026f024702a1020d025c029002b8027a02d402860233025502ce02ad020002c302e202980232021702ee021502530232025302cd029a0260022502c2010001720cdad9010f029593720f0205da720b01832002023a02110295025c0247021902e5028802bc02e602a70261021d022702bd021f02df02db02570238025c02ae02e2026602d80204020c0289024f021c022e021d010001720cdad9010f029593720f0206da720b0183200202090282020f02cb0288027102fb0245020c023e020602b702cb025e022702b002450250028702a302660262021a029d02de0275028202a002190211021e023e010001720cdad9010f029593720f0207dad901113c0e639592720db1a50100d809d613b2a5720d00d614c17213d615c1a7d616c27213d617c4a7d618c2a7d6198cc7a701d61ac47213d61b8cc772130196830401927214997215058092f40193cb7216da720601b2dc640bda7202018c7211020283010e8c721101e5720583000204000093b472179a9ada720e017215b17218da720e017e721905b17217b4721a9a9ada720e017214b17216da720e017e721b05b1721a978302019299721b72190480c33d947218721601860272017204010001720c",
      "ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)",
      "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": "233536261ad8920b85644d30fff8e68c470470138950317ad520b300e8c1e573",
          "index": 0,
          "amount": 1,
          "name": "Paideia Stake State",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
          "index": 1,
          "amount": 49624148712,
          "name": "Paideia",
          "decimals": 4,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "110780e8a6f2e764ceaba3ddf1021606f4acdf88100000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1731931200000,49624148711,11,3,2156653370,0,0]"
        },
        "R6": {
          "serializedValue": "1d0501c2e984b6dd020108019af68e983401140114",
          "sigmaType": "Coll[Coll[SLong]]",
          "renderedValue": "[[46898649697],[4],[7004609933],[10],[10]]"
        },
        "R8": {
          "serializedValue": "11020000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0]"
        },
        "R7": {
          "serializedValue": "0c3c6464014ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000fa9a547bbbadfdd83a7d95ab64e775845fe5b0670109b97a4b39d1e541bb50e903072000",
          "sigmaType": null,
          "renderedValue": null
        },
        "R4": {
          "serializedValue": "0c64020afd7251a5e30a6a967c7621937504bc39fb0d625be2484a47c677cbb27f472d04072000765f1349ec1e32c76d8538ab38ac1d6e6a24a4381e56aeca9a6151bfe90f96a202072000",
          "sigmaType": null,
          "renderedValue": null
        }
      },
      "spentTransactionId": "90214a3de0d5f5275c62031cf97da56204c1304bb2ad4b11e1b38892dbfeb3d8",
      "mainChain": true
    },
    {
      "boxId": "de246177af29ceee565970b181b0771e7e6064ae9513622a721f3ea4c7adb7bc",
      "transactionId": "2199c3376aee64ffbf7f843eaf379d8da69bee6fcac8d4e8de66d001a86b406e",
      "blockId": "5f5b8c90b033cd0b190f657fb72c783b9edab564295d33d9a1d90b922e417b2d",
      "value": 1000000,
      "index": 1,
      "globalIndex": 43872279,
      "creationHeight": 1395127,
      "settlementHeight": 1395130,
      "ergoTree": "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",
      "ergoTreeConstants": "0: Coll(27,75,-117,120,-97,-35,74,52,-59,-15,-49,115,-76,-39,-102,92,-84,-72,-52,-70,117,38,95,110,-33,73,80,-119,59,22,47,7)\n1: Coll(35,53,54,38,26,-40,-110,11,-123,100,77,48,-1,-8,-26,-116,71,4,112,19,-119,80,49,122,-43,32,-77,0,-24,-63,-27,115)",
      "ergoTreeScript": "{\n  val func1 = {(box1: Box) => box1.R4[Coll[AvlTree]].get(1) }\n  val func2 = {(tuple2: (Coll[Box], Coll[Byte])) =>\n    tuple2._1.filter({(box4: Box) => box4.tokens.exists({(tuple6: (Coll[Byte], Long)) => tuple6._1 == tuple2._2 }) })\n  }\n  val coll3 = placeholder[Coll[Byte]](1)\n  val box4 = func2((OUTPUTS, coll3))(0)\n  val box5 = func2((INPUTS, coll3))(0)\n  val func6 = {(box6: Box) => box6.R5[Coll[Long]].get(0) }\n  val func7 = {(box7: Box) => box7.R5[Coll[Long]].get(3) }\n  val func8 = {(box8: Box) => box8.R5[Coll[Long]].get(4) }\n  val func9 = {(box9: Box) =>\n    val coll11 = box9.R5[Coll[Long]].get\n    coll11.slice(5, coll11.size)\n  }\n  val func10 = {(box10: Box) => box10.R6[Coll[Coll[Long]]].get }\n  val func11 = {(box11: Box) => box11.R7[Coll[(AvlTree, AvlTree)]].get }\n  val func12 = {(box12: Box) => box12.R8[Coll[Long]].get }\n  val coll13 = getVar[Coll[Coll[Byte]]](1.toByte).get\n  val coll14 = coll13(0)\n  val func15 = {(box15: Box) => box15.R4[Coll[AvlTree]].get(0) }\n  val avlTree16 = func15(box5)\n  val coll17 = avlTree16.get(coll14, getVar[Coll[Byte]](2.toByte).get).get\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 coll21 = {(opt21: Option[Coll[Byte]]) => opt21.get.slice(1, 33) }(\n    {(box21: Box) => box21.R4[AvlTree].get }(func2((CONTEXT.dataInputs, placeholder[Coll[Byte]](0)))(0)).getMany(\n      Coll[Coll[Byte]](\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      ), getVar[Coll[Byte]](0.toByte).get\n    )(0)\n  )\n  val box22 = {(tuple22: (Coll[Box], Coll[Byte])) => tuple22._1.filter({(box24: Box) => blake2b256(box24.propositionBytes) == tuple22._2 }) }(\n    (OUTPUTS, coll21)\n  )(0)\n  val func23 = {(box23: Box) => box23.R5[Coll[Long]].get(2) }\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        allOf(\n          Coll[Boolean](\n            func1(box4) == func1(box5), func6(box4) == func6(box5), func7(box4) == func7(box5), func8(box4) == func8(box5), func9(box4) == func9(box5), func10(\n              box4\n            ) == func10(box5), func11(box4) == func11(box5), func12(box4) == func12(box5)\n          )\n        ), {(tuple24: (Coll[Box], Coll[Byte])) =>\n          tuple24._1.exists({(box26: Box) => box26.tokens.exists({(tuple28: (Coll[Byte], Long)) => tuple28._1 == tuple24._2 }) })\n        }((INPUTS, coll14)), allOf(Coll[Boolean](l18 == func19(box5)._2 - func19(box4)._2, l18 == func20(box5) - func20(box4))), {(coll24: Coll[Byte]) =>\n          coll24.slice(0, coll24.size - 16 / 8).indices.map({(i26: Int) =>\n              val i28 = i26 * 8\n              byteArrayToLong(coll24.slice(i28 + 16, i28 + 8 + 16))\n            })\n        }(coll17)(0) == box5.value - box4.value, coll13.size == 1, avlTree16.remove(coll13, getVar[Coll[Byte]](3.toByte).get).get.digest == func15(\n          box4\n        ).digest, allOf(Coll[Boolean](blake2b256(box22.propositionBytes) == coll21, box22.value >= SELF.value)), func23(box5) - 1L == func23(\n          box4\n        ), CONTEXT.preHeader.timestamp > {(coll24: Coll[Byte]) => byteArrayToLong(coll24.slice(0, 8)) }(coll17)\n      )\n    )\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "90214a3de0d5f5275c62031cf97da56204c1304bb2ad4b11e1b38892dbfeb3d8",
      "mainChain": true
    },
    {
      "boxId": "c31d1a7655c14e59de7de117b944e6f63d1cdec1e74b8756d87c9199daf7444b",
      "transactionId": "2199c3376aee64ffbf7f843eaf379d8da69bee6fcac8d4e8de66d001a86b406e",
      "blockId": "5f5b8c90b033cd0b190f657fb72c783b9edab564295d33d9a1d90b922e417b2d",
      "value": 1000000,
      "index": 2,
      "globalIndex": 43872280,
      "creationHeight": 1395127,
      "settlementHeight": 1395130,
      "ergoTree": "0008cd02274df75ac4bca58cfb8beeef45c22eb2d2ceba03286c4b6717a8bf897c69c391",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(274df7,a30f0e,...)))}",
      "address": "9epNVneeDQT1tvgDpM991AQjcECKJEWkYUEeigzLWhQ6d1Lov3b",
      "assets": [
        {
          "tokenId": "1fd6e032e8476c4aa54c18c1a308dce83940e8f4a28f576440513ed7326ad489",
          "index": 0,
          "amount": 7499999000,
          "name": "Paideia",
          "decimals": 4,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "43238dbb73d8fbfe467d8808faac9b2febd50fde730679d0d2e9aab6518cd045",
      "mainChain": true
    },
    {
      "boxId": "698ec40019121285d46b68e1ac475c359ca8e837478a75cb3c63b30fa5162f5c",
      "transactionId": "2199c3376aee64ffbf7f843eaf379d8da69bee6fcac8d4e8de66d001a86b406e",
      "blockId": "5f5b8c90b033cd0b190f657fb72c783b9edab564295d33d9a1d90b922e417b2d",
      "value": 100000000,
      "index": 3,
      "globalIndex": 43872281,
      "creationHeight": 1395127,
      "settlementHeight": 1395130,
      "ergoTree": "0008cd03553448c194fdd843c87d080f5e8ed983f5bb2807b13b45a9683bba8c7bfb5ae8",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(553448,8bebb3,...)))}",
      "address": "9h7L7sUHZk43VQC3PHtSp5ujAWcZtYmWATBH746wi75C5XHi68b",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "021af729c7a3989f8f1b53a22bd581af278ea51d3db4d5e90b2df4dcd90ff99d",
      "mainChain": true
    },
    {
      "boxId": "a680f6a75da0dbc35dc34d6031a977188d471cac255900d9649a42a20733b010",
      "transactionId": "2199c3376aee64ffbf7f843eaf379d8da69bee6fcac8d4e8de66d001a86b406e",
      "blockId": "5f5b8c90b033cd0b190f657fb72c783b9edab564295d33d9a1d90b922e417b2d",
      "value": 2350000,
      "index": 4,
      "globalIndex": 43872282,
      "creationHeight": 1395127,
      "settlementHeight": 1395130,
      "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": "0742eebae664249aed31e1129a01e81b82e219fe4fa6123e4b5e00ecd907bf65",
      "mainChain": true
    },
    {
      "boxId": "8eccd2fd4a67fc8f9cec2a511009b72609acdf7ae2dec2302558003fb13aae96",
      "transactionId": "2199c3376aee64ffbf7f843eaf379d8da69bee6fcac8d4e8de66d001a86b406e",
      "blockId": "5f5b8c90b033cd0b190f657fb72c783b9edab564295d33d9a1d90b922e417b2d",
      "value": 663963945812,
      "index": 5,
      "globalIndex": 43872283,
      "creationHeight": 1395127,
      "settlementHeight": 1395130,
      "ergoTree": "0008cd02274df75ac4bca58cfb8beeef45c22eb2d2ceba03286c4b6717a8bf897c69c391",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(274df7,a30f0e,...)))}",
      "address": "9epNVneeDQT1tvgDpM991AQjcECKJEWkYUEeigzLWhQ6d1Lov3b",
      "assets": [
        {
          "tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
          "index": 0,
          "amount": 200000000,
          "name": "bPaideia",
          "decimals": 4,
          "type": "EIP-004"
        },
        {
          "tokenId": "2c6cc91540888dfe3b751e42c52bad6ac3cc6fd91d2e4583be9b465d765cecb7",
          "index": 1,
          "amount": 1,
          "name": "Emerald Gaze Lilith",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "72c101767b8592ba898d176e8e7afa8786e27692a075389f29b4e0d9db2231ee",
          "index": 2,
          "amount": 1,
          "name": "Black Market",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "1c5a4202aa71a703e766fe7dd338e5d8199f78ec856f83f7d0477f06a1c5e667",
          "index": 3,
          "amount": 1,
          "name": "Cleopatra's Lure",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "967af680868f1512c18995e9dd89e3f3dc2ae1b4290ad2af5e680cae40021025",
          "index": 4,
          "amount": 1,
          "name": "Abyss",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "index": 5,
          "amount": 1,
          "name": "Brewface Brelm",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "index": 6,
          "amount": 1,
          "name": "Uprising",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "index": 7,
          "amount": 1,
          "name": "Weeping Moon Nyx",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "index": 8,
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          "name": "Violet Enchantress",
          "decimals": 0,
          "type": "EIP-004"
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        {
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          "name": "Cosmic Veilweaver",
          "decimals": 0,
          "type": "EIP-004"
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          "name": "Prometheus",
          "decimals": 0,
          "type": "EIP-004"
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          "index": 11,
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          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "name": "Apep's Tamer",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "name": "Hardy Chuckles",
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          "type": "EIP-004"
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          "name": "Shaggy",
          "decimals": 0,
          "type": "EIP-004"
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          "index": 16,
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          "name": "Winged Queen Psyche",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "name": "maff",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "index": 18,
          "amount": 208260,
          "name": "rsHOSKY",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "index": 19,
          "amount": 1,
          "name": "Fallen Queen Lia",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "c303499d3141d099ff6ef3b138763323ea3f5a291bfba768dc645230a3be399c",
          "index": 20,
          "amount": 1,
          "name": "Dandyblock",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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          "index": 21,
          "amount": 1,
          "name": "Persephone & Hades",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
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