Ad
Inputs (13)
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.8936 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0003 ERG
Tokens:
Loading assets...
Outputs (5)
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.8936 ERG
Tokens:
Loading assets...
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Status: Confirmed
Size: 1.97 KB
Received time: 4/5/2023 06:57:44 PM
Included in blocks: 976,029
Confirmations: 782,760
Total coins transferred: 0.898 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000545 ERG
Raw Transaction Data
{
  "id": "c8a99abe236a5cbfc8f6533dbdfe771fdcf73e5a2df436a8f398eeae09f1a1bd",
  "blockId": "ed3af6d9c7c991d1adad16335ca9f6bc4dbf4a74b9f7cb79652e069e4e235194",
  "inclusionHeight": 976029,
  "timestamp": 1680721064860,
  "index": 20,
  "globalIndex": 5005158,
  "numConfirmations": 782760,
  "inputs": [
    {
      "boxId": "478692998696bc965327388ce20df7b5f8b1a1c846328c19a4c41a74ab3a73e3",
      "value": 1100000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "9dc6dd4ad67a632852d025efd416a620dac2ecc5694ea06d58a48415cb712864",
      "outputTransactionId": "9b19eb658c18ea086a4607b2c45952259fb04391131c2ee96cbde132886d7e37",
      "outputIndex": 0,
      "outputGlobalIndex": 28009483,
      "outputCreatedAt": 975279,
      "outputSettledAt": 975282,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
          "index": 0,
          "amount": 987,
          "name": "Ergo-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012097a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247]"
        },
        "R5": {
          "serializedValue": "0e0100",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "00"
        }
      }
    },
    {
      "boxId": "ab426896f7ecd97ac40e0c04d6801fc85954ea54e0502c962764ec50bed0d39e",
      "value": 893600000,
      "index": 1,
      "spendingProof": "f3f97ff3f7c3c7818832ea2432b7741e7201c9043a4a10d90001c1e41821152d6fc80f686c02556f090bdc0d36ce1830d3fcd8162ac051ab",
      "outputBlockId": "9dc6dd4ad67a632852d025efd416a620dac2ecc5694ea06d58a48415cb712864",
      "outputTransactionId": "9b19eb658c18ea086a4607b2c45952259fb04391131c2ee96cbde132886d7e37",
      "outputIndex": 2,
      "outputGlobalIndex": 28009485,
      "outputCreatedAt": 975279,
      "outputSettledAt": 975282,
      "ergoTree": "0008cd03b8f2c70cfe32f2e6c794c0befbf8f14130a7a0e9bb1e46e022e302765cfacf46",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b8f2c7,c45001,...)))}",
      "address": "9hsFwz2rvmK6jPkqyDEFFF7jSvjutJxCZFXYRpKURkjPFteAF3m",
      "assets": [
        {
          "tokenId": "97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        }
      ],
      "additionalRegisters": {}
    },
    {
      "boxId": "1a8d4be436332992eb83c2e2f9071f27873576252336995614ec4283ebca8793",
      "value": 300000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "a8513dee84f32875697072d5863b1a865512367b34d73aba614b641fdf9b5593",
      "outputTransactionId": "215786da93f0bd9687d90bff87d3214693269fe5fa6b8b0ea01c5d0088539990",
      "outputIndex": 8,
      "outputGlobalIndex": 28009643,
      "outputCreatedAt": 975286,
      "outputSettledAt": 975288,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "51c1745883a62db6cf47f5765bd695317a01e54bcaaaeaa4aab0b517d2f46a24",
          "index": 1,
          "amount": 4,
          "name": "RSN.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012097a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247]"
        }
      }
    },
    {
      "boxId": "75b7c6bc118d2db49b335c055537bfbd4522cad544929f65610cdc5a43a1645c",
      "value": 300000,
      "index": 3,
      "spendingProof": null,
      "outputBlockId": "8b49850374a5537fd36cf7719c474e1caf0eba1a71ff8fed1b0d623f38b69993",
      "outputTransactionId": "443ec3ed9ec9d5938305bbdc749aab5171030a82b7ab67233612d2579ff77f50",
      "outputIndex": 3,
      "outputGlobalIndex": 28009745,
      "outputCreatedAt": 975288,
      "outputSettledAt": 975293,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "EE7687i4URb4YuSGSQXPCb7yjKwPzLkrEB4u6kZdScqCkeY81qy66Mz69ohJQhx9whKit1dh7VuPpzSeuadba8PcuitfKL6xnBhHYHXc7Uf6i6tq8NkqfZi1HToyAbVPz4LgnGE9sDbJqgvtord736pvsVmdfmRmTvaEQ8VTDx7RoK71VhEXuwqZF2UjWdY3G3DpmdWPGKprtLg4kjB4ikRpYG9eG9rF33ucgQ1hHmu1UeAUXqhv9e2U7VfF2X6D9js7zc4FXJb1ct4H56eEgwLbKRDAegkHUmeH1TJSknxRqTP1W97E9b9tSRj8P3CEi58J7GzmoWVJUg1ZXmQGAHfFUvDVC6Kif9tNE9rwuvp43QzoFVHcNdNCXxpUhBs7FkKHaW8mBVxzMoXQnpekVVuFePqgNL5CDQ8CjbmwHCSkvbRyXifVr8bCqmxytfEiyGMVzAZjEu3TcoERSJYRt2QwsaJ4wCneFUbm7kvNJ9rDgJS9wzHGLKtbgVbh1STbRwp5Zo6TtvrnQkUkf2sMcnpeZn6LfQSQwdJXdXr",
      "assets": [
        {
          "tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "51c1745883a62db6cf47f5765bd695317a01e54bcaaaeaa4aab0b517d2f46a24",
          "index": 1,
          "amount": 75,
          "name": "RSN.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012097a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247]"
        }
      }
    },
    {
      "boxId": "3e381e9e896f4683e0b4850a49bdcacd12aa6340ba80ce560a41af21690d13d4",
      "value": 300000,
      "index": 4,
      "spendingProof": null,
      "outputBlockId": "df53e28182ff975ce64ac600718a7c572349f0bd9ce39158dfe7c50d3c6c9779",
      "outputTransactionId": "3913891eac1f2d290bc9a2fd3ebe5aa9c262b33283f9c195863d9a9285f10523",
      "outputIndex": 7,
      "outputGlobalIndex": 28014009,
      "outputCreatedAt": 975312,
      "outputSettledAt": 975319,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "EE7687i4URb4YuSGSQXPCb7yjKwPzLkrEB4u6kZdScqCkeY81qy66Mz69ohJQhx9whKit1dh7VuPpzSeuadba8PcuitfKL6xnBhHYHXc7Uf6i6tq8NkqfZi1HToyAbVPz4LgnGE9sDbJqgvtord736pvsVmdfmRmTvaEQ8VTDx7RoK71VhEXuwqZF2UjWdY3G3DpmdWPGKprtLg4kjB4ikRpYG9eG9rF33ucgQ1hHmu1UeAUXqhv9e2U7VfF2X6D9js7zc4FXJb1ct4H56eEgwLbKRDAegkHUmeH1TJSknxRqTP1W97E9b9tSRj8P3CEi58J7GzmoWVJUg1ZXmQGAHfFUvDVC6Kif9tNE9rwuvp43QzoFVHcNdNCXxpUhBs7FkKHaW8mBVxzMoXQnpekVVuFePqgNL5CDQ8CjbmwHCSkvbRyXifVr8bCqmxytfEiyGMVzAZjEu3TcoERSJYRt2QwsaJ4wCneFUbm7kvNJ9rDgJS9wzHGLKtbgVbh1STbRwp5Zo6TtvrnQkUkf2sMcnpeZn6LfQSQwdJXdXr",
      "assets": [
        {
          "tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "51c1745883a62db6cf47f5765bd695317a01e54bcaaaeaa4aab0b517d2f46a24",
          "index": 1,
          "amount": 3,
          "name": "RSN.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012097a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247]"
        }
      }
    },
    {
      "boxId": "6372587f5e6c644a619179921576a0f6373b9da9392dad265c10653975120220",
      "value": 300000,
      "index": 5,
      "spendingProof": null,
      "outputBlockId": "5bc0daabaca803ca1190865185139e8d798fe378a895132a0dd30bf4ec67210b",
      "outputTransactionId": "daaa2f6e5e207a8b082eaa993383757dd73593059db6dbbc8cd17561103753f8",
      "outputIndex": 4,
      "outputGlobalIndex": 28014234,
      "outputCreatedAt": 975326,
      "outputSettledAt": 975330,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "51c1745883a62db6cf47f5765bd695317a01e54bcaaaeaa4aab0b517d2f46a24",
          "index": 1,
          "amount": 2,
          "name": "RSN.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012097a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247]"
        }
      }
    },
    {
      "boxId": "9b522553d28880b9dd79024dee3b75d8fe5e247f23a24c2f6d4d28edd8bec026",
      "value": 300000,
      "index": 6,
      "spendingProof": null,
      "outputBlockId": "dc9ca135200872e0924bd0961e85344eaaffb4e52a457f9aa4a27fdc8aa91992",
      "outputTransactionId": "c27b3e6b231a6704b3dd60039a764ed1bfddaec756947a38ff382dbd28d6a1aa",
      "outputIndex": 0,
      "outputGlobalIndex": 28014710,
      "outputCreatedAt": 975331,
      "outputSettledAt": 975337,
      "ergoTree": "10130400040004040400040204000e204b1e5bcfbd6763b9cea8411841213611258fabed16293af6aa8cd8200b7e12860404040004000400010104020400040004000e20c2eeb21a772554cc9733586df12f27d2f444f50e623c1f57cf89c09dc5097c5505020101d807d601b2a5730000d6028cb2db6308a773010001d603aeb5b4a57302b1a5d901036391b1db630872037303d9010363aedb63087203d901054d0e938c7205017202d604e4c6a7041ad605b2a5730400d606db63087205d607ae7206d901074d0e938c720701720295938cb2db63087201730500017306d196830301ef7203938cb2db6308b2a473070073080001b2720473090095720796830201938cb27206730a0001720293c27205c2a7730bd801d608c2a7d196830501ef720393c27201720893e4c67201041a7204938cb2db6308b2a4730c00730d0001b27204730e00957207d801d609b27206730f0096830701938c720901720293cbc272057310e6c67205051ae6c67205060e93e4c67205070ecb720893e4c67205041a7204938c72090273117312",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012097a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247]"
        }
      }
    },
    {
      "boxId": "c608b348f8aa32dab858e2841f6eb10fcbe1948efcd7192fd3c43df87101c7c5",
      "value": 300000,
      "index": 7,
      "spendingProof": null,
      "outputBlockId": "161fa633d3f86c356bbc354a1f7e097c860e250aa333b8429afe7f19342f92d3",
      "outputTransactionId": "b0bfcbbb4108247f217f4a0f545c928d5f4eb32c328697196159e387fda9413d",
      "outputIndex": 1,
      "outputGlobalIndex": 28014864,
      "outputCreatedAt": 975338,
      "outputSettledAt": 975343,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
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          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
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      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012097a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247]"
        }
      }
    },
    {
      "boxId": "55051446c1b28543599a16551b2f2c8a0ebcc5dc51b1793978b7835e795775c1",
      "value": 300000,
      "index": 8,
      "spendingProof": null,
      "outputBlockId": "3e0e561f68d2de8ba2a47738aa010fb74dfce3b4c95c1c0ccd922e60bb7f7699",
      "outputTransactionId": "0c3895ef740525e48a8eccfa09b6bb98bb3f6c5add72b9eed04c9ca1f3f50f17",
      "outputIndex": 8,
      "outputGlobalIndex": 28015007,
      "outputCreatedAt": 975345,
      "outputSettledAt": 975348,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012097a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247]"
        }
      }
    },
    {
      "boxId": "2f0db89101ade8a734072774f9c1c8371d8fe0a6d8b67deadb6c3b554dc8dcf3",
      "value": 300000,
      "index": 9,
      "spendingProof": null,
      "outputBlockId": "e5713f92aa298c95cc4691af1723ba507db81905f127da224d939029bbc0f1b7",
      "outputTransactionId": "f9564332cf4b083374a6adb5b18f3ac1e2cc4679d1066ddf808f470274ecdfa3",
      "outputIndex": 1,
      "outputGlobalIndex": 28015169,
      "outputCreatedAt": 975350,
      "outputSettledAt": 975354,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012097a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247]"
        }
      }
    },
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      "boxId": "f868c1c35271670c20486c17f5b85fdfbc3eb9bc6f50eb6c19645e47c9216a8f",
      "value": 300000,
      "index": 10,
      "spendingProof": null,
      "outputBlockId": "370550f2f8c3455cd775e0b85abfe21a4260192ca4ce3ec25e6ffa4f0cfbb210",
      "outputTransactionId": "44488b172fbc1a4b96e8fe9d6337fc4a76502ade831de88e49e0c096e2b3813a",
      "outputIndex": 4,
      "outputGlobalIndex": 28015321,
      "outputCreatedAt": 975355,
      "outputSettledAt": 975362,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012097a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247]"
        }
      }
    },
    {
      "boxId": "34ff252faabf3d7a2851495c442d7a6048ab33e26a786b876ec28226155d4c86",
      "value": 300000,
      "index": 11,
      "spendingProof": null,
      "outputBlockId": "370550f2f8c3455cd775e0b85abfe21a4260192ca4ce3ec25e6ffa4f0cfbb210",
      "outputTransactionId": "0c6e42c39cb68f04ef34ab0fb0e11a39db930c9210bcab730cae758a4830c56c",
      "outputIndex": 8,
      "outputGlobalIndex": 28015339,
      "outputCreatedAt": 975359,
      "outputSettledAt": 975362,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012097a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247]"
        }
      }
    },
    {
      "boxId": "24404eda1939955c452588eecec41476d039873f297923a84768c439bf1138c9",
      "value": 300000,
      "index": 12,
      "spendingProof": null,
      "outputBlockId": "c324b6ba04f32eea2e17b73e40dfb7fb80cd4b2910e1ae410e11aca2ddb7659d",
      "outputTransactionId": "1d8adc39e04b557ebb284d3c9111505201690f2e559d4cb13cf7e3524247365f",
      "outputIndex": 7,
      "outputGlobalIndex": 28015695,
      "outputCreatedAt": 975369,
      "outputSettledAt": 975372,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "EE7687i4URb4YuSGSQXPCb7yjKwPzLkrEB4u6kZdScqCkeY81qy66Mz69ohJQhx9whKit1dh7VuPpzSeuadba8PcuitfKL6xnBhHYHXc7Uf6i6tq8NkqfZi1HToyAbVPz4LgnGE9sDbJqgvtord736pvsVmdfmRmTvaEQ8VTDx7RoK71VhEXuwqZF2UjWdY3G3DpmdWPGKprtLg4kjB4ikRpYG9eG9rF33ucgQ1hHmu1UeAUXqhv9e2U7VfF2X6D9js7zc4FXJb1ct4H56eEgwLbKRDAegkHUmeH1TJSknxRqTP1W97E9b9tSRj8P3CEi58J7GzmoWVJUg1ZXmQGAHfFUvDVC6Kif9tNE9rwuvp43QzoFVHcNdNCXxpUhBs7FkKHaW8mBVxzMoXQnpekVVuFePqgNL5CDQ8CjbmwHCSkvbRyXifVr8bCqmxytfEiyGMVzAZjEu3TcoERSJYRt2QwsaJ4wCneFUbm7kvNJ9rDgJS9wzHGLKtbgVbh1STbRwp5Zo6TtvrnQkUkf2sMcnpeZn6LfQSQwdJXdXr",
      "assets": [
        {
          "tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012097a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247]"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "c8475a916e490a503ddb236cd355fe93d89d103ed852111b6d1531d021f64f8f",
      "transactionId": "c8a99abe236a5cbfc8f6533dbdfe771fdcf73e5a2df436a8f398eeae09f1a1bd",
      "blockId": "ed3af6d9c7c991d1adad16335ca9f6bc4dbf4a74b9f7cb79652e069e4e235194",
      "value": 1100000,
      "index": 0,
      "globalIndex": 28032657,
      "creationHeight": 976027,
      "settlementHeight": 976029,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 0\n4: 1\n5: 0\n6: Coll(75,30,91,-49,-67,103,99,-71,-50,-88,65,24,65,33,54,17,37,-113,-85,-19,22,41,58,-10,-86,-116,-40,32,11,126,18,-122)\n7: 2\n8: 0\n9: 0\n10: 0\n11: true\n12: 1\n13: 0\n14: 0\n15: 0\n16: Coll(-62,-18,-78,26,119,37,84,-52,-105,51,88,109,-15,47,39,-46,-12,68,-11,14,98,60,31,87,-49,-119,-64,-99,-59,9,124,85)\n17: 1\n18: true",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = SELF.tokens(placeholder[Int](1))._1\n  val bool3 = OUTPUTS.slice(placeholder[Int](2), OUTPUTS.size).filter({(box3: Box) => box3.tokens.size > placeholder[Int](3) }).exists(\n    {(box3: Box) => box3.tokens.exists({(tuple5: (Coll[Byte], Long)) => tuple5._1 == coll2 }) }\n  )\n  val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n  val box5 = OUTPUTS(placeholder[Int](4))\n  val coll6 = box5.tokens\n  val bool7 = coll6.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll2 })\n  if (box1.tokens(placeholder[Int](5))._1 == placeholder[Coll[Byte]](6)) {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll4(placeholder[Int](9)), if (bool7) {\n            allOf(Coll[Boolean](coll6(placeholder[Int](10))._1 == coll2, box5.propositionBytes == SELF.propositionBytes))\n          } else { placeholder[Boolean](11) }\n        )\n      )\n    )\n  } else {(\n    val coll8 = SELF.propositionBytes\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          !bool3, box1.propositionBytes == coll8, box1.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(placeholder[Int](12)).tokens(placeholder[Int](13))._1 == coll4(\n            placeholder[Int](14)\n          ), if (bool7) {(\n            val tuple9 = coll6(placeholder[Int](15))\n            allOf(\n              Coll[Boolean](\n                tuple9._1 == coll2, blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](16), box5.R5[Coll[Coll[Byte]]].isDefined, box5.R6[\n                  Coll[Byte]\n                ].isDefined, box5.R7[Coll[Byte]].get == blake2b256(coll8), box5.R4[Coll[Coll[Byte]]].get == coll4, tuple9._2 == placeholder[Long](17)\n              )\n            )\n          )} else { placeholder[Boolean](18) }\n        )\n      )\n    )\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
          "index": 0,
          "amount": 997,
          "name": "Ergo-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012097a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247]"
        },
        "R5": {
          "serializedValue": "0e0100",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "00"
        }
      },
      "spentTransactionId": "d955cc9c44db3199b39d21491fe0a893555477a4e36153d7377e6242c0c9b05e",
      "mainChain": true
    },
    {
      "boxId": "c139e9ff24cccf035f47f91c6ea6f28dff551e645bd2445f7de46abbb6b4c95c",
      "transactionId": "c8a99abe236a5cbfc8f6533dbdfe771fdcf73e5a2df436a8f398eeae09f1a1bd",
      "blockId": "ed3af6d9c7c991d1adad16335ca9f6bc4dbf4a74b9f7cb79652e069e4e235194",
      "value": 1100000,
      "index": 1,
      "globalIndex": 28032658,
      "creationHeight": 976027,
      "settlementHeight": 976029,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: Coll(78,109,19,-126,-106,-23,11,100,119,82,111,42,-6,-59,-26,28,-31,-78,-49,119,43,-7,-41,-114,85,-122,99,-96,-110,106,-11,-80)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 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[Coll[Byte]]].get\n  val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n  val coll6 = box5.R4[Coll[Coll[Byte]]].get\n  val opt7 = box5.R5[Coll[Coll[Byte]]]\n  val bool8 = opt7.isDefined\n  val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n    Coll[Byte](placeholder[Byte](4))\n  }\n  val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n  val box11 = OUTPUTS(placeholder[Int](6))\n  if (bool3) {(\n    val box12 = OUTPUTS.filter({(box12: Box) =>\n        val opt14 = box12.R4[Coll[Coll[Byte]]]\n        if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n      })(placeholder[Int](8))\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n            placeholder[Int](10)\n          )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n            Coll[Byte]\n          ].get\n        )\n      )\n    )\n  )} else {(\n    val coll12 = blake2b256(box11.propositionBytes)\n    if (coll12 == coll2) {(\n      val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n      val i14 = coll13.size\n      val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n      val coll16 = box15.R6[Coll[Long]].get\n      val l17 = coll16(placeholder[Int](13))\n      val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n        Long\n      ](17)\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n              placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n            ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n              {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n            ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n              Coll[Byte]\n            ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n              if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n            ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n          )\n        )\n      )\n    )} else {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n              placeholder[Int](25)\n            ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n          )\n        )\n      )\n    }\n  )}\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "9410db5b39388c6b515160e7248346d7ec63d5457292326da12a26cc02efb526",
          "index": 0,
          "amount": 1,
          "name": "Ergo-RWT.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1a012097a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247]"
        },
        "R5": {
          "serializedValue": "1a0120f9d9429b18660fb15292bf5f6852a747ea93b8f12007b51cce818b2a10aa12a5",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[f9d9429b18660fb15292bf5f6852a747ea93b8f12007b51cce818b2a10aa12a5]"
        },
        "R6": {
          "serializedValue": "0e200b991fd73b3a73b0b8b0eed4416d56bd702af9df37d59cb7d3f93fe9492cfa9d",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0b991fd73b3a73b0b8b0eed4416d56bd702af9df37d59cb7d3f93fe9492cfa9d"
        },
        "R7": {
          "serializedValue": "0e20fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "fdd14a1fc1c52cdddd322f6cd2e9c6afa050691f0e48784570edd24d4dd2ca20"
        }
      },
      "spentTransactionId": "6cb60120f6d420150f4978794d4a83787ec667a1ed8218460080a2fd7848fadf",
      "mainChain": true
    },
    {
      "boxId": "a23b81f5c481b064478079fa1b221e38946ffac61291e1ba850cd519dba791fb",
      "transactionId": "c8a99abe236a5cbfc8f6533dbdfe771fdcf73e5a2df436a8f398eeae09f1a1bd",
      "blockId": "ed3af6d9c7c991d1adad16335ca9f6bc4dbf4a74b9f7cb79652e069e4e235194",
      "value": 893600000,
      "index": 2,
      "globalIndex": 28032659,
      "creationHeight": 976027,
      "settlementHeight": 976029,
      "ergoTree": "0008cd03b8f2c70cfe32f2e6c794c0befbf8f14130a7a0e9bb1e46e022e302765cfacf46",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b8f2c7,c45001,...)))}",
      "address": "9hsFwz2rvmK6jPkqyDEFFF7jSvjutJxCZFXYRpKURkjPFteAF3m",
      "assets": [
        {
          "tokenId": "97a2dabcd974d69a07c3a03e20d05a36d13b986ffca5670302997484dd87e247",
          "index": 0,
          "amount": 1,
          "name": null,
          "decimals": null,
          "type": null
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "d955cc9c44db3199b39d21491fe0a893555477a4e36153d7377e6242c0c9b05e",
      "mainChain": true
    },
    {
      "boxId": "e5fb3cc659df85469baac0f61a01f0b2723592b81350c46ab5ebb49f1171a455",
      "transactionId": "c8a99abe236a5cbfc8f6533dbdfe771fdcf73e5a2df436a8f398eeae09f1a1bd",
      "blockId": "ed3af6d9c7c991d1adad16335ca9f6bc4dbf4a74b9f7cb79652e069e4e235194",
      "value": 1100000,
      "index": 3,
      "globalIndex": 28032660,
      "creationHeight": 976027,
      "settlementHeight": 976029,
      "ergoTree": "0008cd03b8f2c70cfe32f2e6c794c0befbf8f14130a7a0e9bb1e46e022e302765cfacf46",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(b8f2c7,c45001,...)))}",
      "address": "9hsFwz2rvmK6jPkqyDEFFF7jSvjutJxCZFXYRpKURkjPFteAF3m",
      "assets": [
        {
          "tokenId": "51c1745883a62db6cf47f5765bd695317a01e54bcaaaeaa4aab0b517d2f46a24",
          "index": 0,
          "amount": 84,
          "name": "RSN.V-test",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "aa4883713c3b80cd1c3302f1f1c90b511c4911f985f42d51697b30f030234b05",
      "transactionId": "c8a99abe236a5cbfc8f6533dbdfe771fdcf73e5a2df436a8f398eeae09f1a1bd",
      "blockId": "ed3af6d9c7c991d1adad16335ca9f6bc4dbf4a74b9f7cb79652e069e4e235194",
      "value": 1100000,
      "index": 4,
      "globalIndex": 28032661,
      "creationHeight": 976027,
      "settlementHeight": 976029,
      "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": "e3ce8cb25e096f2881e99c0691175651bb75ef76406d070f45c655111e021181",
      "mainChain": true
    }
  ],
  "size": 2018,
  "isUnconfirmed": false
}