Ad
Inputs (7)
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.002 ERG
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.01 ERG
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Status: Confirmed
Size: 1.46 KB
Received time: 10/7/2025 10:02:43 PM
Included in blocks: 1,629,167
Confirmations: 138,270
Total coins transferred: 0.014 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001338 ERG
Raw Transaction Data
{
  "id": "afa955ba8405476c1d3bf22eca6e6d2cde3e8fe08f4be9aa27a49e738ec84157",
  "blockId": "eec4fc97e82109b064889e1af22feca966765f5bca32818896161a76b7332e66",
  "inclusionHeight": 1629167,
  "timestamp": 1759874563246,
  "index": 18,
  "globalIndex": 9585436,
  "numConfirmations": 138270,
  "inputs": [
    {
      "boxId": "f4e40297687a748d93f618b3c0c4fd6eb5bcaa74a755566e1589c2e05e5b3e01",
      "value": 2000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "a1e730941bc8773cf2ea7f244bb26ab36e08b8e3ec7075c605f2e24d91eb02b6",
      "outputTransactionId": "662ad06a99970ae797a3fc4626442e6636e9a9aa69eb8d7ca3d7f89584293517",
      "outputIndex": 1,
      "outputGlobalIndex": 50703910,
      "outputCreatedAt": 1629159,
      "outputSettledAt": 1629161,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-75,55,74,117,-26,25,-60,-2,97,-53,20,12,83,-119,58,-67,94,111,75,50,60,81,108,-107,34,-11,116,125,2,-28,-48,-85)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-124,-105,12,44,14,-57,-77,-65,-104,68,100,126,58,87,-109,3,86,-36,121,-114,16,27,98,-119,49,-46,-96,31,104,-101,-117,110)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1f07344576120f8470419419265418a02928bfa2a73976ab9e4fdc9fff5aa402",
          "index": 0,
          "amount": 1000,
          "name": "RosenBitcoinRWT-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2085e66111430a2211b5417bb9de464d0197744067ca2b9cd219b5c6270c217707",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "85e66111430a2211b5417bb9de464d0197744067ca2b9cd219b5c6270c217707"
        },
        "R5": {
          "serializedValue": "0e20512ab0bde3fe0c081f14657e63387b1973bd8d9e3baaf1d773ca554a5690ddfa",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "512ab0bde3fe0c081f14657e63387b1973bd8d9e3baaf1d773ca554a5690ddfa"
        },
        "R6": {
          "serializedValue": "0e20eef452c9683633e54982bd84715a0c2582207c33cd264cb54ecb6f177137b499",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "eef452c9683633e54982bd84715a0c2582207c33cd264cb54ecb6f177137b499"
        },
        "R7": {
          "serializedValue": "0e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e"
        }
      }
    },
    {
      "boxId": "17f2193f9b92023ae83c44ddc17b2a1d88ce828a7e50e7f1febc0dd0badf8ae6",
      "value": 2000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "a1e730941bc8773cf2ea7f244bb26ab36e08b8e3ec7075c605f2e24d91eb02b6",
      "outputTransactionId": "86871032cb1b4b26b40ba19270aec47267758130f7d3a5c96110d08c6bde1827",
      "outputIndex": 1,
      "outputGlobalIndex": 50703914,
      "outputCreatedAt": 1629159,
      "outputSettledAt": 1629161,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-75,55,74,117,-26,25,-60,-2,97,-53,20,12,83,-119,58,-67,94,111,75,50,60,81,108,-107,34,-11,116,125,2,-28,-48,-85)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-124,-105,12,44,14,-57,-77,-65,-104,68,100,126,58,87,-109,3,86,-36,121,-114,16,27,98,-119,49,-46,-96,31,104,-101,-117,110)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1f07344576120f8470419419265418a02928bfa2a73976ab9e4fdc9fff5aa402",
          "index": 0,
          "amount": 1000,
          "name": "RosenBitcoinRWT-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20eb9f1d944a9cf7253b362f0560a98cd66de7c085ef4e4027b3e353d6ad5327a1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "eb9f1d944a9cf7253b362f0560a98cd66de7c085ef4e4027b3e353d6ad5327a1"
        },
        "R5": {
          "serializedValue": "0e20512ab0bde3fe0c081f14657e63387b1973bd8d9e3baaf1d773ca554a5690ddfa",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "512ab0bde3fe0c081f14657e63387b1973bd8d9e3baaf1d773ca554a5690ddfa"
        },
        "R6": {
          "serializedValue": "0e20da0b50fdb3327ccbdf00749ca78072c256fb6fcb8e7012d7e1a5a7a1dc53952b",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "da0b50fdb3327ccbdf00749ca78072c256fb6fcb8e7012d7e1a5a7a1dc53952b"
        },
        "R7": {
          "serializedValue": "0e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e"
        }
      }
    },
    {
      "boxId": "d3d1fe2a9307d64f20a3b575573d7c263091e5838f305228bbb5498d131d510a",
      "value": 2000000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "9d967af39c5e0143eabe669a2f3e101dab09201d8df4acaa74f626659276bbf4",
      "outputTransactionId": "250c9e3024c5eb1d061c2494ac93de11bc8b17d98b34de202dca4506317607b9",
      "outputIndex": 1,
      "outputGlobalIndex": 50703936,
      "outputCreatedAt": 1629159,
      "outputSettledAt": 1629162,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-75,55,74,117,-26,25,-60,-2,97,-53,20,12,83,-119,58,-67,94,111,75,50,60,81,108,-107,34,-11,116,125,2,-28,-48,-85)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-124,-105,12,44,14,-57,-77,-65,-104,68,100,126,58,87,-109,3,86,-36,121,-114,16,27,98,-119,49,-46,-96,31,104,-101,-117,110)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1f07344576120f8470419419265418a02928bfa2a73976ab9e4fdc9fff5aa402",
          "index": 0,
          "amount": 1000,
          "name": "RosenBitcoinRWT-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e205f0666c8476e83b67d50bb4142c45b51487583507c07428acb4770837af5cee9",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "5f0666c8476e83b67d50bb4142c45b51487583507c07428acb4770837af5cee9"
        },
        "R5": {
          "serializedValue": "0e20512ab0bde3fe0c081f14657e63387b1973bd8d9e3baaf1d773ca554a5690ddfa",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "512ab0bde3fe0c081f14657e63387b1973bd8d9e3baaf1d773ca554a5690ddfa"
        },
        "R6": {
          "serializedValue": "0e20c0c01e7e3fcf843cae5a7880347029a44d960d1ff7b7e03332b041b46d87390d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c0c01e7e3fcf843cae5a7880347029a44d960d1ff7b7e03332b041b46d87390d"
        },
        "R7": {
          "serializedValue": "0e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e"
        }
      }
    },
    {
      "boxId": "7da69ca927b759ee21759c084d7c3820dfd8b4cad94dbc7e706d183a0cf3ca76",
      "value": 2000000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "9d967af39c5e0143eabe669a2f3e101dab09201d8df4acaa74f626659276bbf4",
      "outputTransactionId": "431fe8f71410c0adbfdf0e99a0dea788d7c0cfc0fa848254f97ed45436635cde",
      "outputIndex": 1,
      "outputGlobalIndex": 50703940,
      "outputCreatedAt": 1629159,
      "outputSettledAt": 1629162,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-75,55,74,117,-26,25,-60,-2,97,-53,20,12,83,-119,58,-67,94,111,75,50,60,81,108,-107,34,-11,116,125,2,-28,-48,-85)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-124,-105,12,44,14,-57,-77,-65,-104,68,100,126,58,87,-109,3,86,-36,121,-114,16,27,98,-119,49,-46,-96,31,104,-101,-117,110)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1f07344576120f8470419419265418a02928bfa2a73976ab9e4fdc9fff5aa402",
          "index": 0,
          "amount": 1000,
          "name": "RosenBitcoinRWT-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e207f07a7703690dd8960280c966a3a72bb30390d13f4dc125af66152d0156afa50",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "7f07a7703690dd8960280c966a3a72bb30390d13f4dc125af66152d0156afa50"
        },
        "R5": {
          "serializedValue": "0e20512ab0bde3fe0c081f14657e63387b1973bd8d9e3baaf1d773ca554a5690ddfa",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "512ab0bde3fe0c081f14657e63387b1973bd8d9e3baaf1d773ca554a5690ddfa"
        },
        "R6": {
          "serializedValue": "0e20ed8f7c66f781c3ee866c970f233f6acf97c8ecfdc6effebf90c1ea6e100f8a0d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "ed8f7c66f781c3ee866c970f233f6acf97c8ecfdc6effebf90c1ea6e100f8a0d"
        },
        "R7": {
          "serializedValue": "0e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e"
        }
      }
    },
    {
      "boxId": "08376679144f5cade4f229f5a939666b1bb54c55afb66293f05abab9a079c494",
      "value": 2000000,
      "index": 4,
      "spendingProof": null,
      "outputBlockId": "22ba5963603a4782ecc1ef47f9ecd844aabb6966eb30e3d95ff4e60203b8b5dd",
      "outputTransactionId": "10e3250ea0e2035d5fdbe466b0afbf0762c151f7d3ec2ebf19891c4d9507fbe4",
      "outputIndex": 1,
      "outputGlobalIndex": 50703976,
      "outputCreatedAt": 1629160,
      "outputSettledAt": 1629163,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(-75,55,74,117,-26,25,-60,-2,97,-53,20,12,83,-119,58,-67,94,111,75,50,60,81,108,-107,34,-11,116,125,2,-28,-48,-85)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-124,-105,12,44,14,-57,-77,-65,-104,68,100,126,58,87,-109,3,86,-36,121,-114,16,27,98,-119,49,-46,-96,31,104,-101,-117,110)\n26: 0\n27: Coll(-84,123,-65,-1,126,-61,-123,42,-6,-31,49,83,-87,-91,-80,99,-84,38,-4,67,-89,-128,-86,52,104,-50,-56,-55,-51,-47,118,-77)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = placeholder[Coll[Byte]](1)\n  val bool3 = blake2b256(box1.propositionBytes) == coll2\n  val coll4 = SELF.R4[Coll[Byte]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R5[Coll[Coll[Byte]]].get\n  val coll7 = Coll[Byte]()\n  val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n  val box9 = OUTPUTS(placeholder[Int](3))\n  if (bool3) {(\n    val box10 = OUTPUTS.filter({(box10: Box) =>\n        val opt12 = box10.R4[Coll[Byte]]\n        opt12.isDefined && (opt12.get == coll4)\n      })(placeholder[Int](4))\n    val tuple11 = box10.tokens(placeholder[Int](5))\n    val tuple12 = SELF.tokens(placeholder[Int](6))\n    val coll13 = tuple12._1\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n            }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n            {(coll14: Coll[Byte]) => coll4 == coll14 }\n          ), INPUTS.filter({(box14: Box) =>\n              val coll16 = box14.tokens\n              (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n            }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n        )\n      )\n    )\n  )} else {(\n    val coll10 = blake2b256(box9.propositionBytes)\n    if (coll10 == coll2) {(\n      val coll11 = CONTEXT.dataInputs\n      val box12 = coll11(placeholder[Int](13))\n      val box13 = coll11(placeholder[Int](14))\n      val coll14 = box13.tokens\n      val tuple15 = SELF.tokens(placeholder[Int](15))\n      val coll16 = tuple15._1\n      val coll17 = INPUTS.filter(\n        {(box17: Box) =>\n          ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n        }\n      )\n      val i18 = coll17.size\n      val l19 = i18.toLong\n      val coll20 = box12.R4[Coll[Long]].get\n      val l21 = coll20(placeholder[Int](18))\n      val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n      val l23 = coll20(placeholder[Int](22))\n      val tuple24 = box5.tokens(placeholder[Int](23))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n              placeholder[Int](28)\n            )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n              {(box25: Box) => box25.value }\n            ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n              Int\n            ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n              coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n            ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n              coll6(placeholder[Int](31))\n            ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n          )\n        )\n      )\n    )} else {(\n      val tuple11 = box9.tokens(placeholder[Int](32))\n      val tuple12 = SELF.tokens(placeholder[Int](33))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n              placeholder[Int](35)\n            )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "5ivrmzxYZv3Pkwc4N7CfrYyJzh7njsGg3RDtZT2ThnJX61ENJSaTcEBp1SB6Nh916sp3D8v3PLtNnuq1m2uL58gxiAkPkwstEjxFjmVJfGZc4oXzh6Gj4Xt2Q8fQdD9ZBRKBxYkXpCGpxaaqtJoPBEz21seQnfDdY7VEFuTFmNCnMpBY94Q2tjgwnorFs2SxVxcdpoC8LRVW1Axozb2Te439cEFVVih77kHZ1ryM1tZJTWedT3XVQjfFhBgjxEaQUMtYdVcZt9sezRrHfndoYuwpiNkP2J55iMZFLGj1rajNaYrUmbtGWJjhGf7ngHss6qZqYgpeoibH4MTaeydSoW7XcJDN7oxN6W8pL48mQ7hz7ups4fuzGMrZRG47wVSKFH2MCyHcupByfQvgU2DwVnC2moqMiFWeeTJwx8Kd8MwduDV8nnwUwweaU5YrwBoLWSbZAAWv6aH8J8oa4jeAMCdJ5S2Ano7MMAqbW4LFDX5iyKt8f4KY63nU6jrG4qi6tWmoPPQEm9zPqvAsrQ7Kk12x3zzLrjVuE142UyF6NR9jbTobykZjRyxpBNuZii2DRgjdwvsC5jVkrvvNKXMnLE9Kmq1DoZo7ZDHBmg6vUzanxGcuR8tD7vJa4hLQbdaqgJJxFQPznuXRa6cxSXhHAkJ5T4sYBU3RFda7diATHQkZkwgn48TG7nigHZUVATMfEHRmsV9j5bh7wKxYd3JLm294iqL8woWPNKVXmE8vWF2XiVDoWise7DZSfZpWEuPZRKtWW7fmYatdyM4fmxTjSmUdJKLSqjrRp1dShRdTt8gAwJ94CwbazmJzJQrEwoDS6G2SZ65e66fHUGrc55pF2z2NyETrvSkTMbeZTGJ29jXG9oj7LKeGHQkTBXkDrr67ChiwH9eX7zwobMhbpfoUrudP4b4Br3aACwwpwVWe9ZXTn7KUuqtZRKUM3JE1bCB2MQHiLtEDQyUjgJ9Yh7RXCxo1QSbUSdpShrtSFGTPGcZPv4TNfkVLvbCRQrwY22vk1xahp9hpL8WDAmQ9DxBoCjvnL6DZWbCoQ8UNQEDo5kYWW1bjPZqwAFvBephAq7QD7CG9FiYF1FHxYptSgtzKqex782u9NJuHw6RryJYTn9wGqkBfTfEG88wHHWThJtB88Gf2z8CaXazoNkQWpbAKtGyQeujvVT9rj3SkiaD24CcEtDnsLsX1KLa5AMk6EbDi2zpxmMnGwxkQfspLU2LZgYT6Ffdc8UbzdT95nJ6HyP7Ub9f1XSYFkZ2VeY32mgPohBkKuboiSpVBPw3jikqu3",
      "assets": [
        {
          "tokenId": "1f07344576120f8470419419265418a02928bfa2a73976ab9e4fdc9fff5aa402",
          "index": 0,
          "amount": 1000,
          "name": "RosenBitcoinRWT-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e20c9f6988adc9d70e82343b85e24970a34684c665205663346e4fa6d00e0300725",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "c9f6988adc9d70e82343b85e24970a34684c665205663346e4fa6d00e0300725"
        },
        "R5": {
          "serializedValue": "0e20512ab0bde3fe0c081f14657e63387b1973bd8d9e3baaf1d773ca554a5690ddfa",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "512ab0bde3fe0c081f14657e63387b1973bd8d9e3baaf1d773ca554a5690ddfa"
        },
        "R6": {
          "serializedValue": "0e2057b3f13d41d8fe7353049c793a2da98628fdbe012be5149b15bb6ed7d6a00661",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "57b3f13d41d8fe7353049c793a2da98628fdbe012be5149b15bb6ed7d6a00661"
        },
        "R7": {
          "serializedValue": "0e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e"
        }
      }
    },
    {
      "boxId": "3649d2534ab628d75f033753bcd6a73f49a44f1af66b964ab50cd4e593cb849a",
      "value": 2000000,
      "index": 5,
      "spendingProof": "0a87fcc2f0fbc7262aef0128ff677e6914edf10cfa8a81735b7e1042ffede9dae08be7a833d5ade4ee4e79b473ce9f981513794b1e68397e",
      "outputBlockId": "e1d530c840d3b232865194ad16193f95be941f32edb65edfaa2103141573ea94",
      "outputTransactionId": "6a3a2d998a92e2e265abb4f965895ea73a22a2b19d45599f56a2ad21a607e8a0",
      "outputIndex": 3,
      "outputGlobalIndex": 47113002,
      "outputCreatedAt": 1492767,
      "outputSettledAt": 1492770,
      "ergoTree": "0008cd024d91372013378cd7406176f2d070c1ce1ff527d8dd23bd687b619d7049627733",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4d9137,788044,...)))}",
      "address": "9f7DsCL8FoZNiSDzyrcseSARScJEzRYxChUQ4eNRvzqu7j1RmCE",
      "assets": [
        {
          "tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
          "index": 0,
          "amount": 14000,
          "name": "eRSN-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "c6b9cd29b0e57bacb3d746fa2be093bf9307d9d42acfe05c75741e172ba8d196",
      "value": 2000000,
      "index": 6,
      "spendingProof": "287caf5eb25da11488fa418cfeed1ff4faa73ed322693a5efb8380784631015791a9d795aac07eb6da379f482f9dcf41a5b7891bc7c864db",
      "outputBlockId": "6c3b569d4cf59d5dc8f7df33a9cf543bb6e33f7d9ef08e8b9213af69604ee7a7",
      "outputTransactionId": "b04abe8ccaccdfcbdecd78352f46a5a18e8720fb2f45ce15f4e170051a7fbfbf",
      "outputIndex": 3,
      "outputGlobalIndex": 48060895,
      "outputCreatedAt": 1533311,
      "outputSettledAt": 1533312,
      "ergoTree": "0008cd024d91372013378cd7406176f2d070c1ce1ff527d8dd23bd687b619d7049627733",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4d9137,788044,...)))}",
      "address": "9f7DsCL8FoZNiSDzyrcseSARScJEzRYxChUQ4eNRvzqu7j1RmCE",
      "assets": [
        {
          "tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
          "index": 0,
          "amount": 14000,
          "name": "eRSN-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [
    {
      "boxId": "ad5659517039fdd14c8dfaab042229aa57184d201ef75ec10dc4e6dec674d68d",
      "value": 1100000,
      "index": 0,
      "outputBlockId": "0957b30e84ae05c0fc8f88334c4ac3a0ecad4faf5f222c4a227382407396ec38",
      "outputTransactionId": "a85d5395e7c8b3d4a2de6255e43953299f784f6d16d5809614fbc766b683fef8",
      "outputIndex": 0,
      "ergoTree": "100604000400040004000e20a2d7f41b79f98bcaef08214b9e6bf0f3b803e446a9ef5949da799739555165aa0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
      "address": "prufxZid3SJMyUVhBMkLFHpReSPj7knVLihVSxxh55yh3X39NhP6cKMVYZYf6cFuP7267DEtkrWxFSbYqfX6zj2qY57ZBCNkFEQnJVGxvyjXnNJ1Nrj5YiymeX2SAb66uYfHxZJQTv9R7S6PE4vvnUp5oC4LbGaC4bo8HkGCUzpvpSLm9qeSzwFXdznsJketE6n6HLGLqNXQ3KZXNaG8",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1106d00f78022880dac409d00f",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1000,60,1,20,10000000,1000]"
        }
      }
    },
    {
      "boxId": "5da36349656adb66c2cffe79a58a5ef46c4886456d86e2689a0162aa5f110f5b",
      "value": 1100000,
      "index": 1,
      "outputBlockId": "7cc6db9c887c17f99575272cc04dce21f9c8d2132e4fdbc2e6d0bc22f36e4187",
      "outputTransactionId": "61b69a3389b3692af383e5023b902c647b48e95e516b5f4a305d0a02868ca8b4",
      "outputIndex": 0,
      "ergoTree": "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",
      "address": "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",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e07626974636f696e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "626974636f696e"
        },
        "R5": {
          "serializedValue": "050a",
          "sigmaType": "SLong",
          "renderedValue": "5"
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "87d4fb3d4aa8ae7a86e6da02c641c545649663d3bb7db0a590bda13cf608c90c",
      "transactionId": "afa955ba8405476c1d3bf22eca6e6d2cde3e8fe08f4be9aa27a49e738ec84157",
      "blockId": "eec4fc97e82109b064889e1af22feca966765f5bca32818896161a76b7332e66",
      "value": 10000000,
      "index": 0,
      "globalIndex": 50704114,
      "creationHeight": 1629165,
      "settlementHeight": 1629167,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: Coll(-25,124,104,-103,-125,126,-52,109,-110,-11,-30,-44,-126,-26,70,53,67,-76,116,-1,35,-50,13,-32,45,120,-33,-46,26,43,17,-67)\n10: 1\n11: 0\n12: Coll(102,114,-19,84,-126,-43,-95,-78,69,74,27,110,87,-101,-128,-127,-18,112,-10,-47,53,52,-117,16,-33,87,65,-113,43,-92,118,80)\n13: 10\n14: Coll(9,-81,-23,48,20,-10,-106,10,-86,-61,7,28,-111,-102,-31,-125,0,-15,92,117,-92,109,-45,-78,47,-79,-8,-64,30,101,-9,91)",
      "ergoTreeScript": "{\n  val i1 = SELF.R7[Int].get\n  val coll2 = OUTPUTS.filter({(box2: Box) =>\n      val coll4 = box2.tokens\n      (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1)\n    }).slice(placeholder[Int](3), i1)\n  val coll3 = OUTPUTS(placeholder[Int](4)).propositionBytes\n  val coll4 = blake2b256(coll3)\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        coll2.size == i1, SELF.R4[Coll[Byte]].get == blake2b256(\n          coll2.map({(box5: Box) => box5.R4[Coll[Byte]].get }).fold(Coll[Byte](), {(tuple5: (Coll[Byte], Coll[Byte])) => tuple5._1.append(tuple5._2) })\n        ), coll2.forall(\n          {(box5: Box) =>\n            ((box5.propositionBytes == coll3) && (box5.tokens(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1)) && (\n              box5.tokens(placeholder[Int](7))._2 == SELF.tokens(placeholder[Int](8))._2 / i1.toLong\n            )\n          }\n        ), if (coll4 == placeholder[Coll[Byte]](9)) {\n          allOf(\n            Coll[Boolean](\n              INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), HEIGHT - placeholder[Int](13) >= SELF.creationInfo._1\n            )\n          )\n        } else {\n          allOf(\n            Coll[Boolean](INPUTS.exists({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](14) }), coll4 == SELF.R6[Coll[Byte]].get)\n          )\n        }\n      )\n    )\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "1f07344576120f8470419419265418a02928bfa2a73976ab9e4fdc9fff5aa402",
          "index": 0,
          "amount": 5000,
          "name": "RosenBitcoinRWT-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e200b55c4c49f308cf3eef5c1cb63a54e3dd43245ca73e3ce1548df71dbe647918a",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0b55c4c49f308cf3eef5c1cb63a54e3dd43245ca73e3ce1548df71dbe647918a"
        },
        "R5": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[38356236653361303561376435313261306165376535643032363863306434643565323436326530656432356530363837323932623731356162353036376631,626974636f696e,6572676f,626f783a303238373933326130313965383966383436343533373232333533323465316562653533313637303633653336643837373530306336336364336330616562362e32,39686d4c775053613766515677617959484e3542645562454833725a63575972536f5869754e6f6d7867793845376b61545966,00000000000003e8,00000000000001f5,0000000000000190,627463,62326463656134386361663065373333303931333864363539663665623639643765633837393364656539383936373063373264643466666465376562656233,30303030303030303030303030303030303030313936616664313939386636386664636162653132313035323861316562663261663631383334313033376665,00000000000e0241]"
        },
        "R6": {
          "serializedValue": "0e20649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "649fdd84405a1824844e429cd40591301c36a322936d65db949442235181ae3e"
        },
        "R7": {
          "serializedValue": "040a",
          "sigmaType": "SInt",
          "renderedValue": "5"
        }
      },
      "spentTransactionId": "37b8f07f3661dd5a017237aaf3c815ba0eb75f543674cc93aaffd8d953df2270",
      "mainChain": true
    },
    {
      "boxId": "60f101515edba305e00656d6bf716e3b7c4270e88e19297949ef98f751d60368",
      "transactionId": "afa955ba8405476c1d3bf22eca6e6d2cde3e8fe08f4be9aa27a49e738ec84157",
      "blockId": "eec4fc97e82109b064889e1af22feca966765f5bca32818896161a76b7332e66",
      "value": 2000000,
      "index": 1,
      "globalIndex": 50704115,
      "creationHeight": 1629165,
      "settlementHeight": 1629167,
      "ergoTree": "0008cd024d91372013378cd7406176f2d070c1ce1ff527d8dd23bd687b619d7049627733",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4d9137,788044,...)))}",
      "address": "9f7DsCL8FoZNiSDzyrcseSARScJEzRYxChUQ4eNRvzqu7j1RmCE",
      "assets": [
        {
          "tokenId": "bbcb0dc09acb34c09d767aa43683ff2a360fdb4496344988ea10ff5d93ac348a",
          "index": 0,
          "amount": 28000,
          "name": "eRSN-Pandora",
          "decimals": 3,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "be2182c84e93fa03cbdbf925b6d6524307181a341b9bb872d4d97492deb3dd26",
      "mainChain": true
    },
    {
      "boxId": "85044eae714f80966c2cad1c08d7e895ba49a5dda13dab4ddc4176ab5261879d",
      "transactionId": "afa955ba8405476c1d3bf22eca6e6d2cde3e8fe08f4be9aa27a49e738ec84157",
      "blockId": "eec4fc97e82109b064889e1af22feca966765f5bca32818896161a76b7332e66",
      "value": 2000000,
      "index": 2,
      "globalIndex": 50704116,
      "creationHeight": 1629165,
      "settlementHeight": 1629167,
      "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": "73b9f9dc6c64ffac6f196f7289b0ef7a384e8f086cd619b70986f1864dbbd19b",
      "mainChain": true
    }
  ],
  "size": 1495,
  "isUnconfirmed": false
}