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Inputs (2)
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.1332098 ERG
Tokens:
Loading assets...
Outputs (4)
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Spent in transaction:
Settlement height:
Value:
0.1311098 ERG
Tokens:
Loading assets...
Transaction Details
Status: Confirmed
Size: 3.74 KB
Received time: 12/21/2025 06:33:20 PM
Included in blocks: 1,682,646
Confirmations: 77,099
Total coins transferred: 0.1342098 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000287 ERG
Raw Transaction Data
{
  "id": "ebd9e8351f2dd1631ca4e47cfa650371375112d96c172f2241886d8d17cbd294",
  "blockId": "b54c1fee20e96b8d3b9ab9b01c3c61faf7fe659ea9c8ef32bec39578867a79ec",
  "inclusionHeight": 1682646,
  "timestamp": 1766342000093,
  "index": 18,
  "globalIndex": 10006266,
  "numConfirmations": 77099,
  "inputs": [
    {
      "boxId": "7dacf925a477e640f4f2139b2c53998840b3901f3a690e3b092b7c446af93aee",
      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "724c6a7aff9628441a1da20933a06176b9c6c11ac8a1f9d6f4cbff5c8a42eb63",
      "outputTransactionId": "a65417ab6b2e23508cd31419e825c4692c946ed2a9dce4c5cacac8f2936183f1",
      "outputIndex": 0,
      "outputGlobalIndex": 52413613,
      "outputCreatedAt": 1682479,
      "outputSettledAt": 1682480,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 1\n9: 1\n10: 0\n11: 0\n12: 0\n13: 0\n14: 1\n15: 1\n16: 0\n17: 0\n18: 0\n19: 0\n20: Coll(-50,-22,82,101,27,107,32,99,-127,-22,40,-94,-27,-97,119,83,103,-50,-11,103,-64,-62,-16,-119,-36,126,9,53,107,100,-17,97)\n21: 0\n22: 0\n23: true\n24: false\n25: 1\n26: 0\n27: false",
      "ergoTreeScript": "{\n  val opt1 = SELF.R7[Coll[Byte]]\n  val coll2 = opt1.get\n  val coll3 = OUTPUTS.filter(\n    {(box3: Box) =>\n      ((box3.propositionBytes == SELF.propositionBytes) && (box3.tokens.size > placeholder[Int](0))) && (\n        box3.tokens(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1\n      )\n    }\n  )\n  sigmaProp(if (INPUTS.exists({(box4: Box) => box4.propositionBytes == coll2 })) {(\n      val coll4 = blake2b256(SELF.propositionBytes)\n      val tuple5 = SELF.tokens(placeholder[Int](3))\n      val coll6 = tuple5._1\n      val coll7 = INPUTS.filter({(box7: Box) => ((((((blake2b256(box7.propositionBytes) == coll4) && (box7.tokens.size > placeholder[Int](4))) && (box7.tokens(placeholder[Int](5))._1 == coll6)) && (box7.R7[Coll[Byte]].get == coll2)) && box7.R4[Coll[Byte]].isDefined) && box7.R5[Coll[Byte]].isDefined) && box7.R8[Boolean].isDefined })\n      val coll8 = OUTPUTS.filter({(box8: Box) => ((((((blake2b256(box8.propositionBytes) == coll4) && (box8.tokens.size > placeholder[Int](6))) && (box8.tokens(placeholder[Int](7))._1 == coll6)) && (box8.R7[Coll[Byte]].get == coll2)) && box8.R4[Coll[Byte]].isDefined) && box8.R5[Coll[Byte]].isDefined) && box8.R8[Boolean].isDefined })\n      val coll9 = coll7.flatMap({(box9: Box) =>\n          val coll11 = box9.tokens\n          val i12 = coll11.size\n          if (i12 > placeholder[Int](8)) { coll11.slice(placeholder[Int](9), i12) } else { Coll[(Coll[Byte], Long)]() }\n        })\n      val coll10 = SELF.R4[Coll[Byte]].get\n      (((coll7.fold(placeholder[Long](10), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](11))._2 }) == coll8.fold(placeholder[Long](12), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](13))._2 })) && (coll9.fold(Coll[Coll[Byte]](), {(tuple11: (Coll[Coll[Byte]], (Coll[Byte], Long))) =>\n                val coll13 = tuple11._1\n                val coll14 = tuple11._2._1\n                if (coll13.exists({(coll15: Coll[Byte]) => coll15 == coll14 })) { coll13 } else { coll13.append(Coll[Coll[Byte]](coll14)) }\n              }).forall({(coll11: Coll[Byte]) => coll8.flatMap({(box13: Box) =>\n                    val coll15 = box13.tokens\n                    val i16 = coll15.size\n                    if (i16 > placeholder[Int](14)) { coll15.slice(placeholder[Int](15), i16) } else { Coll[(Coll[Byte], Long)]() }\n                  }).filter({(tuple13: (Coll[Byte], Long)) => tuple13._1 == coll11 }).fold(placeholder[Long](16), {(tuple13: (Long, (Coll[Byte], Long))) => tuple13._1 + tuple13._2._2 }) >= coll9.filter({(tuple13: (Coll[Byte], Long)) => tuple13._1 == coll11 }).fold(placeholder[Long](17), {(tuple13: (Long, (Coll[Byte], Long))) => tuple13._1 + tuple13._2._2 }) }) && (coll8.fold(placeholder[Long](18), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value }) >= coll7.fold(placeholder[Long](19), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value })))) && CONTEXT.dataInputs.filter({(box11: Box) => (blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](20)) && (box11.creationInfo._1 < HEIGHT) }).map({(box11: Box) => box11.tokens(placeholder[Int](21))._1 }).exists({(coll11: Coll[Byte]) => coll11 == coll10 })) && if (SELF.R6[Boolean].get) { coll8.exists({(box11: Box) => ((((box11.tokens(placeholder[Int](22))._2 >= tuple5._2) && (box11.R4[Coll[Byte]].get == coll10)) && (box11.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get)) && box11.R6[Boolean].get) && (box11.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get) }) } else { placeholder[Boolean](23) }\n    )} else { placeholder[Boolean](24) } || if (coll3.size == placeholder[Int](25)) {(\n      val box4 = coll3(placeholder[Int](26))\n      (((((((box4.R4[Coll[Byte]] == SELF.R4[Coll[Byte]]) && (box4.R5[Coll[Byte]] == SELF.R5[Coll[Byte]])) && (box4.R6[Boolean] == SELF.R6[Boolean])) && (box4.R7[Coll[Byte]] == opt1)) && (box4.R8[Boolean] == SELF.R8[Boolean])) && (box4.R9[Coll[Byte]] == SELF.R9[Coll[Byte]])) && (box4.tokens == SELF.tokens)) && (box4.value >= SELF.value)\n    )} else { placeholder[Boolean](27) })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "cd1c782204e5354866bb409edddf05793089441bf9edfba16e7606a8163c4be2",
          "index": 0,
          "amount": 99999998,
          "name": null,
          "decimals": null,
          "type": null
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e20cd1c782204e5354866bb409edddf05793089441bf9edfba16e7606a8163c4be2",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "cd1c782204e5354866bb409edddf05793089441bf9edfba16e7606a8163c4be2"
        },
        "R6": {
          "serializedValue": "0100",
          "sigmaType": "SBoolean",
          "renderedValue": "false"
        },
        "R8": {
          "serializedValue": "0101",
          "sigmaType": "SBoolean",
          "renderedValue": "true"
        },
        "R7": {
          "serializedValue": "0e240008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7"
        },
        "R9": {
          "serializedValue": "0e0f7b226e616d65223a22416e6f6e227d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7b226e616d65223a22416e6f6e227d"
        },
        "R4": {
          "serializedValue": "0e201820fd428a0b92d61ce3f86cd98240fdeeee8a392900f0b19a2e017d66f79926",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1820fd428a0b92d61ce3f86cd98240fdeeee8a392900f0b19a2e017d66f79926"
        }
      }
    },
    {
      "boxId": "ddb5e83e4d46554934672e96b2662fb5ccb5254b225e21221e1baba1c0bea3bf",
      "value": 133209800,
      "index": 1,
      "spendingProof": "45a9381329499ffb5e6f03cceab38a50d2faf2f10828a31eb9f78d2b7239d8dd77f1de89471b1085c10ceaefc8010172ca4b727f48d6c0eb",
      "outputBlockId": "724c6a7aff9628441a1da20933a06176b9c6c11ac8a1f9d6f4cbff5c8a42eb63",
      "outputTransactionId": "a65417ab6b2e23508cd31419e825c4692c946ed2a9dce4c5cacac8f2936183f1",
      "outputIndex": 3,
      "outputGlobalIndex": 52413616,
      "outputCreatedAt": 1682479,
      "outputSettledAt": 1682480,
      "ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
      "address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
      "assets": [
        {
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          "decimals": null,
          "type": null
        },
        {
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          "index": 1,
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          "name": "CAT",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
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        },
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        },
        {
          "tokenId": "a6b3df8edc3223975b49247b425e69a85cb45f3c7a94668ba89c890f2f0d2194",
          "index": 28,
          "amount": 4900,
          "name": "TEST DEV 50 PERCENT APT",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "2293d454406cc0f3b6a7c63db90fc989b4065204d4b101f8fe155d1d65c283ff",
          "index": 29,
          "amount": 10000,
          "name": "TEST FULL WITHDRAW V3 APT",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "950e6f63aab88d72048da7d561efcb1bad568bc7a82fe3cc26ea729619cc3d9f",
          "index": 30,
          "amount": 7000,
          "name": "Test project for 1.2   V1 APT",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "ebb40ecab7bb7d2a935024100806db04f44c62c33ae9756cf6fc4cb6b9aa2d12",
          "index": 31,
          "amount": 1,
          "name": "🚬",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "ef0199cb118810aa3b35b5b071d2f417bdc6c27e985bbd425a1f04d31a12a59b",
          "index": 32,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        },
        {
          "tokenId": "44f3f0b7ebb5369965908aaa586ed811f62c1688e6ae375b7af523cba0027ea6",
          "index": 33,
          "amount": 37,
          "name": null,
          "decimals": null,
          "type": null
        },
        {
          "tokenId": "357d59abf7fbfb46fa73faa4f0898475b24713e2fc8311dab37d5b87dfb72392",
          "index": 34,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        },
        {
          "tokenId": "6236c29eb679e644342f6c606b0fc44ab1adfc782ad0f66bf57ef3002d96e236",
          "index": 35,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        },
        {
          "tokenId": "3c7b0b07c1f6be6f21c617db4ad45499ecd7283fe4de08dec3a7117a4663ebe0",
          "index": 36,
          "amount": 95000,
          "name": "BeneSpace",
          "decimals": 5,
          "type": "EIP-004"
        },
        {
          "tokenId": "3a37bdc6364544fc926fc3d914a4e25c91cf5bb2b9c754bc7f0f6184595b9025",
          "index": 37,
          "amount": 9999900,
          "name": "fakeBTC",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "192a3b6a3f0fec229017d5d7caf3ca484f6f254ad857f7feffea2e82b9367eb5",
          "index": 38,
          "amount": 52301,
          "name": "FALCON",
          "decimals": 5,
          "type": "EIP-004"
        },
        {
          "tokenId": "687fd56baf59225ef3e5dbd8bd2ba240081ba1b0fd320322f434551d0a509249",
          "index": 39,
          "amount": 23398,
          "name": "FALCON Test Project APT",
          "decimals": 5,
          "type": "EIP-004"
        },
        {
          "tokenId": "322a090ccd17f3f94ff8294410bdebec87723a3a50774113219009d2ac8eadbc",
          "index": 40,
          "amount": 100,
          "name": "TEST TIMESTAMP 17:05 APT",
          "decimals": 2,
          "type": "EIP-004"
        },
        {
          "tokenId": "36baf7010ff975982f745494d3f441527c9c4b1f26b1729386cf6c3e058a6195",
          "index": 41,
          "amount": 1,
          "name": "TEST V2 APT",
          "decimals": 5,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "ab6a15e0780a33c6df933a7b30abdd4fb522fb3e36934055cab3ea4ed8b7aa8e",
      "value": 1000000,
      "index": 0,
      "outputBlockId": "8c3c315f50a07390867edc2b13ac197a4fbba3e61ba2b161aaf4ae10d07ebb29",
      "outputTransactionId": "37936f7c5688f79a41b23562c6689011a8a3f7a7bea32861db54367ce363be3b",
      "outputIndex": 0,
      "ergoTree": "19b5010804000400040004020400040004000100d801d601b5a5d9010163d801d603db63087201ed91b172037300938cb27203730100018cb2db6308a7730200019593b172017303d801d602b27201730400d1ededed93c27202c2a793b2db63087202730500b2db6308a7730600ededededed93c67202040ec6a7040e93c67202050ec6a7050e93c67202060ec6a7060e93c672020701c6a7070193c67202080ec6a7080e93c67202090ec6a7090e92c17202c1a7d17307",
      "address": "26XeHLaYXWtuLAj1CbBgvmxYpkmcGy8Gvkdpse7GBGDznxcagzaxmoM5HWCpRBEFWJfKRvp2KbJTRCbJ8MENFVvi9RRCjdw85ssabHGRgYTdizGnTrQnXD29HGfYyui2bQKcA1gm2N63LdCpahdALzm5SaDbWJB5bzku8cEsQFWdUwe5z8HiFJvTTUnii68Fs99nziVSFxCaBw3GBSMB4p3B5VoQcMzYDHsNhuR9G9873VfitRwhXaG1SEPQnenGmR",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e0d466f72756d2050726f66696c65",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "466f72756d2050726f66696c65"
        },
        "R5": {
          "serializedValue": "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",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "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"
        },
        "R6": {
          "serializedValue": "0e00",
          "sigmaType": "Coll[SByte]",
          "renderedValue": ""
        },
        "R7": {
          "serializedValue": "0400",
          "sigmaType": "SInt",
          "renderedValue": "0"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "0d93b5a7044e0cacbb19cad3b2dad9706c37b892fb3dbdc5fa449d0da13c62cd",
      "transactionId": "ebd9e8351f2dd1631ca4e47cfa650371375112d96c172f2241886d8d17cbd294",
      "blockId": "b54c1fee20e96b8d3b9ab9b01c3c61faf7fe659ea9c8ef32bec39578867a79ec",
      "value": 1000000,
      "index": 0,
      "globalIndex": 52418917,
      "creationHeight": 1682645,
      "settlementHeight": 1682646,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 1\n9: 1\n10: 0\n11: 0\n12: 0\n13: 0\n14: 1\n15: 1\n16: 0\n17: 0\n18: 0\n19: 0\n20: Coll(-50,-22,82,101,27,107,32,99,-127,-22,40,-94,-27,-97,119,83,103,-50,-11,103,-64,-62,-16,-119,-36,126,9,53,107,100,-17,97)\n21: 0\n22: 0\n23: true\n24: false\n25: 1\n26: 0\n27: false",
      "ergoTreeScript": "{\n  val opt1 = SELF.R7[Coll[Byte]]\n  val coll2 = opt1.get\n  val coll3 = OUTPUTS.filter(\n    {(box3: Box) =>\n      ((box3.propositionBytes == SELF.propositionBytes) && (box3.tokens.size > placeholder[Int](0))) && (\n        box3.tokens(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1\n      )\n    }\n  )\n  sigmaProp(if (INPUTS.exists({(box4: Box) => box4.propositionBytes == coll2 })) {(\n      val coll4 = blake2b256(SELF.propositionBytes)\n      val tuple5 = SELF.tokens(placeholder[Int](3))\n      val coll6 = tuple5._1\n      val coll7 = INPUTS.filter({(box7: Box) => ((((((blake2b256(box7.propositionBytes) == coll4) && (box7.tokens.size > placeholder[Int](4))) && (box7.tokens(placeholder[Int](5))._1 == coll6)) && (box7.R7[Coll[Byte]].get == coll2)) && box7.R4[Coll[Byte]].isDefined) && box7.R5[Coll[Byte]].isDefined) && box7.R8[Boolean].isDefined })\n      val coll8 = OUTPUTS.filter({(box8: Box) => ((((((blake2b256(box8.propositionBytes) == coll4) && (box8.tokens.size > placeholder[Int](6))) && (box8.tokens(placeholder[Int](7))._1 == coll6)) && (box8.R7[Coll[Byte]].get == coll2)) && box8.R4[Coll[Byte]].isDefined) && box8.R5[Coll[Byte]].isDefined) && box8.R8[Boolean].isDefined })\n      val coll9 = coll7.flatMap({(box9: Box) =>\n          val coll11 = box9.tokens\n          val i12 = coll11.size\n          if (i12 > placeholder[Int](8)) { coll11.slice(placeholder[Int](9), i12) } else { Coll[(Coll[Byte], Long)]() }\n        })\n      val coll10 = SELF.R4[Coll[Byte]].get\n      (((coll7.fold(placeholder[Long](10), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](11))._2 }) == coll8.fold(placeholder[Long](12), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](13))._2 })) && (coll9.fold(Coll[Coll[Byte]](), {(tuple11: (Coll[Coll[Byte]], (Coll[Byte], Long))) =>\n                val coll13 = tuple11._1\n                val coll14 = tuple11._2._1\n                if (coll13.exists({(coll15: Coll[Byte]) => coll15 == coll14 })) { coll13 } else { coll13.append(Coll[Coll[Byte]](coll14)) }\n              }).forall({(coll11: Coll[Byte]) => coll8.flatMap({(box13: Box) =>\n                    val coll15 = box13.tokens\n                    val i16 = coll15.size\n                    if (i16 > placeholder[Int](14)) { coll15.slice(placeholder[Int](15), i16) } else { Coll[(Coll[Byte], Long)]() }\n                  }).filter({(tuple13: (Coll[Byte], Long)) => tuple13._1 == coll11 }).fold(placeholder[Long](16), {(tuple13: (Long, (Coll[Byte], Long))) => tuple13._1 + tuple13._2._2 }) >= coll9.filter({(tuple13: (Coll[Byte], Long)) => tuple13._1 == coll11 }).fold(placeholder[Long](17), {(tuple13: (Long, (Coll[Byte], Long))) => tuple13._1 + tuple13._2._2 }) }) && (coll8.fold(placeholder[Long](18), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value }) >= coll7.fold(placeholder[Long](19), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value })))) && CONTEXT.dataInputs.filter({(box11: Box) => (blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](20)) && (box11.creationInfo._1 < HEIGHT) }).map({(box11: Box) => box11.tokens(placeholder[Int](21))._1 }).exists({(coll11: Coll[Byte]) => coll11 == coll10 })) && if (SELF.R6[Boolean].get) { coll8.exists({(box11: Box) => ((((box11.tokens(placeholder[Int](22))._2 >= tuple5._2) && (box11.R4[Coll[Byte]].get == coll10)) && (box11.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get)) && box11.R6[Boolean].get) && (box11.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get) }) } else { placeholder[Boolean](23) }\n    )} else { placeholder[Boolean](24) } || if (coll3.size == placeholder[Int](25)) {(\n      val box4 = coll3(placeholder[Int](26))\n      (((((((box4.R4[Coll[Byte]] == SELF.R4[Coll[Byte]]) && (box4.R5[Coll[Byte]] == SELF.R5[Coll[Byte]])) && (box4.R6[Boolean] == SELF.R6[Boolean])) && (box4.R7[Coll[Byte]] == opt1)) && (box4.R8[Boolean] == SELF.R8[Boolean])) && (box4.R9[Coll[Byte]] == SELF.R9[Coll[Byte]])) && (box4.tokens == SELF.tokens)) && (box4.value >= SELF.value)\n    )} else { placeholder[Boolean](27) })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "cd1c782204e5354866bb409edddf05793089441bf9edfba16e7606a8163c4be2",
          "index": 0,
          "amount": 99999997,
          "name": null,
          "decimals": null,
          "type": null
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e20cd1c782204e5354866bb409edddf05793089441bf9edfba16e7606a8163c4be2",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "cd1c782204e5354866bb409edddf05793089441bf9edfba16e7606a8163c4be2"
        },
        "R6": {
          "serializedValue": "0100",
          "sigmaType": "SBoolean",
          "renderedValue": "false"
        },
        "R8": {
          "serializedValue": "0101",
          "sigmaType": "SBoolean",
          "renderedValue": "true"
        },
        "R7": {
          "serializedValue": "0e240008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7"
        },
        "R9": {
          "serializedValue": "0e0f7b226e616d65223a22416e6f6e227d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7b226e616d65223a22416e6f6e227d"
        },
        "R4": {
          "serializedValue": "0e201820fd428a0b92d61ce3f86cd98240fdeeee8a392900f0b19a2e017d66f79926",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "1820fd428a0b92d61ce3f86cd98240fdeeee8a392900f0b19a2e017d66f79926"
        }
      },
      "spentTransactionId": "f27b0e473eec5f76c6ceab3a6b681369272a0ab0f3566f663bd1a8b116431be2",
      "mainChain": true
    },
    {
      "boxId": "a88f8ca110b5e576e9a90ea346da52a314f2f772d7465f7631de326c71f1226c",
      "transactionId": "ebd9e8351f2dd1631ca4e47cfa650371375112d96c172f2241886d8d17cbd294",
      "blockId": "b54c1fee20e96b8d3b9ab9b01c3c61faf7fe659ea9c8ef32bec39578867a79ec",
      "value": 1000000,
      "index": 1,
      "globalIndex": 52418918,
      "creationHeight": 1682645,
      "settlementHeight": 1682646,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 1\n9: 1\n10: 0\n11: 0\n12: 0\n13: 0\n14: 1\n15: 1\n16: 0\n17: 0\n18: 0\n19: 0\n20: Coll(-50,-22,82,101,27,107,32,99,-127,-22,40,-94,-27,-97,119,83,103,-50,-11,103,-64,-62,-16,-119,-36,126,9,53,107,100,-17,97)\n21: 0\n22: 0\n23: true\n24: false\n25: 1\n26: 0\n27: false",
      "ergoTreeScript": "{\n  val opt1 = SELF.R7[Coll[Byte]]\n  val coll2 = opt1.get\n  val coll3 = OUTPUTS.filter(\n    {(box3: Box) =>\n      ((box3.propositionBytes == SELF.propositionBytes) && (box3.tokens.size > placeholder[Int](0))) && (\n        box3.tokens(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1\n      )\n    }\n  )\n  sigmaProp(if (INPUTS.exists({(box4: Box) => box4.propositionBytes == coll2 })) {(\n      val coll4 = blake2b256(SELF.propositionBytes)\n      val tuple5 = SELF.tokens(placeholder[Int](3))\n      val coll6 = tuple5._1\n      val coll7 = INPUTS.filter({(box7: Box) => ((((((blake2b256(box7.propositionBytes) == coll4) && (box7.tokens.size > placeholder[Int](4))) && (box7.tokens(placeholder[Int](5))._1 == coll6)) && (box7.R7[Coll[Byte]].get == coll2)) && box7.R4[Coll[Byte]].isDefined) && box7.R5[Coll[Byte]].isDefined) && box7.R8[Boolean].isDefined })\n      val coll8 = OUTPUTS.filter({(box8: Box) => ((((((blake2b256(box8.propositionBytes) == coll4) && (box8.tokens.size > placeholder[Int](6))) && (box8.tokens(placeholder[Int](7))._1 == coll6)) && (box8.R7[Coll[Byte]].get == coll2)) && box8.R4[Coll[Byte]].isDefined) && box8.R5[Coll[Byte]].isDefined) && box8.R8[Boolean].isDefined })\n      val coll9 = coll7.flatMap({(box9: Box) =>\n          val coll11 = box9.tokens\n          val i12 = coll11.size\n          if (i12 > placeholder[Int](8)) { coll11.slice(placeholder[Int](9), i12) } else { Coll[(Coll[Byte], Long)]() }\n        })\n      val coll10 = SELF.R4[Coll[Byte]].get\n      (((coll7.fold(placeholder[Long](10), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](11))._2 }) == coll8.fold(placeholder[Long](12), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.tokens(placeholder[Int](13))._2 })) && (coll9.fold(Coll[Coll[Byte]](), {(tuple11: (Coll[Coll[Byte]], (Coll[Byte], Long))) =>\n                val coll13 = tuple11._1\n                val coll14 = tuple11._2._1\n                if (coll13.exists({(coll15: Coll[Byte]) => coll15 == coll14 })) { coll13 } else { coll13.append(Coll[Coll[Byte]](coll14)) }\n              }).forall({(coll11: Coll[Byte]) => coll8.flatMap({(box13: Box) =>\n                    val coll15 = box13.tokens\n                    val i16 = coll15.size\n                    if (i16 > placeholder[Int](14)) { coll15.slice(placeholder[Int](15), i16) } else { Coll[(Coll[Byte], Long)]() }\n                  }).filter({(tuple13: (Coll[Byte], Long)) => tuple13._1 == coll11 }).fold(placeholder[Long](16), {(tuple13: (Long, (Coll[Byte], Long))) => tuple13._1 + tuple13._2._2 }) >= coll9.filter({(tuple13: (Coll[Byte], Long)) => tuple13._1 == coll11 }).fold(placeholder[Long](17), {(tuple13: (Long, (Coll[Byte], Long))) => tuple13._1 + tuple13._2._2 }) }) && (coll8.fold(placeholder[Long](18), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value }) >= coll7.fold(placeholder[Long](19), {(tuple11: (Long, Box)) => tuple11._1 + tuple11._2.value })))) && CONTEXT.dataInputs.filter({(box11: Box) => (blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](20)) && (box11.creationInfo._1 < HEIGHT) }).map({(box11: Box) => box11.tokens(placeholder[Int](21))._1 }).exists({(coll11: Coll[Byte]) => coll11 == coll10 })) && if (SELF.R6[Boolean].get) { coll8.exists({(box11: Box) => ((((box11.tokens(placeholder[Int](22))._2 >= tuple5._2) && (box11.R4[Coll[Byte]].get == coll10)) && (box11.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get)) && box11.R6[Boolean].get) && (box11.R9[Coll[Byte]].get == SELF.R9[Coll[Byte]].get) }) } else { placeholder[Boolean](23) }\n    )} else { placeholder[Boolean](24) } || if (coll3.size == placeholder[Int](25)) {(\n      val box4 = coll3(placeholder[Int](26))\n      (((((((box4.R4[Coll[Byte]] == SELF.R4[Coll[Byte]]) && (box4.R5[Coll[Byte]] == SELF.R5[Coll[Byte]])) && (box4.R6[Boolean] == SELF.R6[Boolean])) && (box4.R7[Coll[Byte]] == opt1)) && (box4.R8[Boolean] == SELF.R8[Boolean])) && (box4.R9[Coll[Byte]] == SELF.R9[Coll[Byte]])) && (box4.tokens == SELF.tokens)) && (box4.value >= SELF.value)\n    )} else { placeholder[Boolean](27) })\n}",
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      "assets": [
        {
          "tokenId": "cd1c782204e5354866bb409edddf05793089441bf9edfba16e7606a8163c4be2",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e2098905b4c6adc361eb4bfdfd7b0e7539a2fe513676d977b70b292e257fb4ce16c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "98905b4c6adc361eb4bfdfd7b0e7539a2fe513676d977b70b292e257fb4ce16c"
        },
        "R6": {
          "serializedValue": "0100",
          "sigmaType": "SBoolean",
          "renderedValue": "false"
        },
        "R8": {
          "serializedValue": "0100",
          "sigmaType": "SBoolean",
          "renderedValue": "false"
        },
        "R7": {
          "serializedValue": "0e240008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7"
        },
        "R9": {
          "serializedValue": "0e046e756c6c",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "6e756c6c"
        },
        "R4": {
          "serializedValue": "0e200000000000000000000000000000000000000000000000000000000000000002",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0000000000000000000000000000000000000000000000000000000000000002"
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "fcaef7fd5fbfe51afb5a2644385fc8393d433f98af84a7608a5fe14a5460658b",
      "transactionId": "ebd9e8351f2dd1631ca4e47cfa650371375112d96c172f2241886d8d17cbd294",
      "blockId": "b54c1fee20e96b8d3b9ab9b01c3c61faf7fe659ea9c8ef32bec39578867a79ec",
      "value": 1100000,
      "index": 2,
      "globalIndex": 52418919,
      "creationHeight": 1682645,
      "settlementHeight": 1682646,
      "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": "7127bfb344dc2dcc0cb46caf4faa31898fecdbdd6346d2c6f86d593eb6b29982",
      "mainChain": true
    },
    {
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      "transactionId": "ebd9e8351f2dd1631ca4e47cfa650371375112d96c172f2241886d8d17cbd294",
      "blockId": "b54c1fee20e96b8d3b9ab9b01c3c61faf7fe659ea9c8ef32bec39578867a79ec",
      "value": 131109800,
      "index": 3,
      "globalIndex": 52418920,
      "creationHeight": 1682645,
      "settlementHeight": 1682646,
      "ergoTree": "0008cd02910cc52aa89e392d2715fc556aea54d5d4d81ccca937a11481771d37395c39b7",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(910cc5,459442,...)))}",
      "address": "9fcwctfPQPkDfHgxBns5Uu3dwWpaoywhkpLEobLuztfQuV5mt3T",
      "assets": [
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          "type": null
        },
        {
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