Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.9989 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.006 ERG
Outputs (4)
Spent in transaction:
Settlement height:
Value:
0.9989 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Transaction Details
Status: Confirmed
Size: 2.48 KB
Received time: 5/15/2023 08:41:27 PM
Included in blocks: 1,004,484
Confirmations: 764,546
Total coins transferred: 1 ERG
Fees: 0.0015 ERG
Fees per byte: 0.00000059 ERG
Raw Transaction Data
{
  "id": "560c59093c50ba0478d1020f740f4d03c05975bf331092445d0b06df2006ffee",
  "blockId": "7a475efcddc04d86bce1bec90af836f1840bf83510529a3e4c8ee9c571ee3004",
  "inclusionHeight": 1004484,
  "timestamp": 1684183287247,
  "index": 22,
  "globalIndex": 5208152,
  "numConfirmations": 764546,
  "inputs": [
    {
      "boxId": "d70383959564b98a34a8d5a5035cfe71fca48cc69b6cd6028f1dc837c8dff502",
      "value": 998900000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "6d55d4938cffc17547796d2fa5fbbc5cac0d72fc2c72f23bb1c033049a03ed82",
      "outputTransactionId": "9c9bd28cc55644ad73afc63ef53887aca9f37782b5ca240a911fcee252e66032",
      "outputIndex": 0,
      "outputGlobalIndex": 29144073,
      "outputCreatedAt": 1004470,
      "outputSettledAt": 1004472,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n4: SigmaProp(ProveDlog(ECPoint(7a0d1f,2990ea,...)))\n5: 1\n6: 0\n7: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n8: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n9: 5\n10: 4\n11: 0\n12: false\n13: 1\n14: 1\n15: 0\n16: 2\n17: 5\n18: 0\n19: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n20: 1\n21: Coll(93,72,114,-24,26,-6,-36,-125,34,23,-88,-83,36,-65,-47,-29,107,-87,-34,43,88,-116,-8,-80,68,21,80,-1,-9,-115,-39,-13)\n22: 6\n23: 0\n24: 100\n25: 5\n26: 0\n27: 2\n28: 0\n29: Coll(-68,-88,-80,-42,45,27,65,-97,8,-33,-53,-8,95,-44,76,-16,-69,122,-116,-94,64,23,66,89,110,-32,-99,7,47,103,85,55)\n30: 0\n31: 3\n32: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val l4 = tuple3._2\n  val l5 = SELF.tokens(placeholder[Int](2))._2\n  val coll6 = tuple3._1\n  val coll7 = placeholder[Coll[Byte]](3)\n  if (l4 == l5) { placeholder[SigmaProp](4) } else {\n    if (l4 == l5 + placeholder[Long](5)) {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box1.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, box1.R4[Long].get == SELF.R4[Long].get, box1.propositionBytes == SELF.propositionBytes, coll2(\n              placeholder[Int](6)\n            )._1 == placeholder[Coll[Byte]](7), coll6 == placeholder[Coll[Byte]](8), box1.value >= SELF.value\n          )\n        )\n      )\n    } else {(\n      val i8 = OUTPUTS.size\n      if ((i8 == placeholder[Int](9)) && (OUTPUTS(placeholder[Int](10)).tokens.size > placeholder[Int](11))) { sigmaProp(placeholder[Boolean](12)) } else {(\n        val l9 = SELF.R4[Long].get\n        val coll10 = SELF.R5[Coll[Byte]].get\n        val box11 = OUTPUTS(placeholder[Int](13))\n        val coll12 = box11.R4[Coll[Long]].get\n        val l13 = coll12(placeholder[Int](14))\n        val l14 = coll12(placeholder[Int](15))\n        val coll15 = SELF.id\n        val box16 = OUTPUTS(placeholder[Int](16))\n        sigmaProp(\n          allOf(\n            Coll[Boolean](\n              i8 <= placeholder[Int](17), box1.propositionBytes == SELF.propositionBytes, coll2(placeholder[Int](18))._1 == placeholder[Coll[Byte]](\n                19\n              ), coll6 == coll7, box1.value >= SELF.value, l4 == l5 - placeholder[Long](20), box1.R4[Long].get == l9, box1.R5[\n                Coll[Byte]\n              ].get == coll10, blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](21), coll12.size == placeholder[Int](\n                22\n              ), l13 == l9, l14 > placeholder[Long](23), l14 + l13 < placeholder[Long](24), coll12(placeholder[Int](25)) == placeholder[Long](26), box11.R5[\n                Coll[Byte]\n              ].isDefined, box11.R6[Coll[Coll[Byte]]].get.size >= placeholder[Int](27), box11.R7[Coll[Byte]].get == coll10, box11.R8[\n                Coll[Byte]\n              ].get == coll15, box11.tokens(placeholder[Int](28))._1 == coll7, blake2b256(box16.propositionBytes) == placeholder[Coll[Byte]](29), box16.tokens(\n                placeholder[Int](30)\n              )._1 == coll15, OUTPUTS(placeholder[Int](31)).tokens.size == placeholder[Int](32)\n            )\n          )\n        )\n      )}\n    )}\n  }\n}",
      "address": "6FDfp81b9bbMPAdtWqGpsWA6naFNffpZaYSAL4XnhNk9Wr2ikz5byb2zWuZo41TwnotXZzvytKBZtPLVJDh3r4zTrreZNNJkq77poPer1nN1YYEpz5E3yVR1HRuAcrXPQKFgwePT8ZvBtgishBMp8qgwqF2J5rb7R36GRe9vgwabMA9FxGRX6AEX3dU4x4EaF6XVQmHwDgWdhyZTzqyuBvTNozWHnsxd4QSzYLeCVgT3QBMswFAbCyP9ZhW7ZkD2mYxVmXrG1p2Ay4iGK2tzqGkPoyAvGz2qW5YQxjBdbtEF95Rzd9dqz5wprhunV3tELCmtZverWyLKm7h9wcmrBBBLsnPb4R3tDMekdreCbjUjrb31CJhna4ENeEGz9DcokZoQxNSvyC8nox3JzsKkwm9GYY1dSTuoSLgbWmw2zJ65Lfpmhs9YLdbcBFxSCSLrzAJG7r6Du1LFHEwb9LqDUWYqx7CTN2xrchFQiSHxse1MexSwNR3GZwy1CKx6vwWcCpVAakGzxohgvTxHrTQDwzWhSRrVMMM5SJ8S1Qe5mSgqVDZ36XS8LBxA8eL1WZXdABy93QnvegqzwpGXjWdAkxon2YNYfo8C7DCdwZGvyga7ss1UitaxizXhxfpjGamikSDE5PtmmeH4qkcdRKjSb4vudGVVvT8DvJwQKVMFxEvAS4WygVqvqxwckBj18Tbsez8QgrtEzc7JbtkhH1Tq2AJoRYhbSSq3XeTR8MLGv9zwLnzp14ykaVyQsqywAduDwpPZwRGUEuVPy2aEpBVBy3FYpmbR4hfU5QpkXtUyQPt6nPpX5dkDNha9anDtQnR1aXPkCxyvPYB6yhWeEqnPrR6P9GXVhjawNy9uZZwTctSwGt6Vwn6wwo1T48rZxPckErxLXuusAQbVwd2qyyo9YYtGno8ot5TVqRCwAyEWsPHGe1g9tBtwuT",
      "assets": [
        {
          "tokenId": "53577ffaa01a07d66ed7f1170932a7391976eaedb6c1d9145d8947e53e25f28a",
          "index": 0,
          "amount": 1,
          "name": "ErgoRaffle NFT V1",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "32b3ce8196bd7ac4deb7e38e76e9a576ca4f449ad30cc22ee33e10a975893c76",
          "index": 1,
          "amount": 999999999999997,
          "name": "ErgoRaffle Token V1",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "050a",
          "sigmaType": "SLong",
          "renderedValue": "5"
        },
        "R5": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        }
      }
    },
    {
      "boxId": "52a72942ab6d2c64141fd81c1c5525c34ef0fd2735cbdbe0a56208beb917b9dd",
      "value": 6000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "7a475efcddc04d86bce1bec90af836f1840bf83510529a3e4c8ee9c571ee3004",
      "outputTransactionId": "9337f0888ad1b3ad562f778680628a9f738fcd8ea7f06bad8a15d164fe332f41",
      "outputIndex": 0,
      "outputGlobalIndex": 29144885,
      "outputCreatedAt": 1004481,
      "outputSettledAt": 1004484,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 2\n1: 1\n2: 0\n3: 0\n4: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n5: 0\n6: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n7: 0\n8: 94\n9: 2\n10: 1000000000\n11: 3\n12: 3300000000000\n13: 4\n14: 1022479\n15: Coll(0,8,-51,2,-54,-83,-117,-26,-21,-121,39,-9,-19,73,3,-96,-69,-3,126,87,-42,39,121,-44,-34,86,37,34,-58,72,-65,80,38,116,33,-111)\n16: 0\n17: Coll(69,114,103,111,32,76,105,103,104,116,110,105,110,103,32,45,32,76,97,121,101,114,32,50,32,83,99,97,108,105,110,103)\n18: 1\n19: Coll(60,112,62,69,114,103,111,32,76,105,103,104,116,110,105,110,103,32,97,114,101,32,97,32,76,97,121,101,114,32,50,32,115,99,97,108,105,110,103,32,115,111,108,117,116,105,111,110,32,102,111,114,32,116,104,101,32,69,114,103,111,32,98,108,111,99,107,99,104,97,105,110,46,32,84,104,101,121,32,117,115,101,32,116,104,101,32,82,111,108,108,117,112,32,97,114,99,104,105,116)\n20: 2\n21: Coll(105,112,102,115,58,47,47,98,97,102,107,114,101,105,98,97,122,115,103,121,112,97,120,52,99,116,118,117,104,113,53,108,116,54,117,109,114,104,117,104,116,111,120,97,97,119,101,101,116,122,112,117,55,110,113,118,101,107,106,99,53,113,119,122,106,117)\n22: 0\n23: Coll(0,8,-51,3,-105,-2,-125,-79,40,-46,47,-108,110,99,30,21,-30,20,36,49,-124,64,-73,51,81,-8,20,-66,-4,37,-79,16,-37,108,-66,-83)\n24: 1004499\n25: 2\n26: 1\n27: 1500000",
      "ergoTreeScript": "{\n  val i1 = OUTPUTS.size\n  if (i1 > placeholder[Int](0)) {(\n    val box2 = OUTPUTS(placeholder[Int](1))\n    val coll3 = box2.R4[Coll[Long]].get\n    val coll4 = box2.R6[Coll[Coll[Byte]]].get\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          OUTPUTS(placeholder[Int](2)).tokens(placeholder[Int](3))._1 == placeholder[Coll[Byte]](4), box2.tokens(placeholder[Int](5))._1 == placeholder[\n            Coll[Byte]\n          ](6), coll3(placeholder[Int](7)) == placeholder[Long](8), coll3(placeholder[Int](9)) == placeholder[Long](10), coll3(\n            placeholder[Int](11)\n          ) == placeholder[Long](12), coll3(placeholder[Int](13)) == placeholder[Long](14), box2.R5[Coll[Byte]].get == placeholder[Coll[Byte]](15), coll4(\n            placeholder[Int](16)\n          ) == placeholder[Coll[Byte]](17), coll4(placeholder[Int](18)) == placeholder[Coll[Byte]](19), coll4(placeholder[Int](20)) == placeholder[Coll[Byte]](\n            21\n          )\n        )\n      )\n    )\n  )} else {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          OUTPUTS(placeholder[Int](22)).propositionBytes == placeholder[Coll[Byte]](23), HEIGHT > placeholder[Int](24), i1 == placeholder[Int](25), OUTPUTS(\n            placeholder[Int](26)\n          ).value <= placeholder[Long](27)\n        )\n      )\n    )\n  }\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "02379fc1e4189ff17edbed6abb62193eb5506ae60909dc5023fd6a1183e8256f",
      "transactionId": "560c59093c50ba0478d1020f740f4d03c05975bf331092445d0b06df2006ffee",
      "blockId": "7a475efcddc04d86bce1bec90af836f1840bf83510529a3e4c8ee9c571ee3004",
      "value": 998900000,
      "index": 0,
      "globalIndex": 29144894,
      "creationHeight": 1004482,
      "settlementHeight": 1004484,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n4: SigmaProp(ProveDlog(ECPoint(7a0d1f,2990ea,...)))\n5: 1\n6: 0\n7: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n8: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n9: 5\n10: 4\n11: 0\n12: false\n13: 1\n14: 1\n15: 0\n16: 2\n17: 5\n18: 0\n19: Coll(83,87,127,-6,-96,26,7,-42,110,-41,-15,23,9,50,-89,57,25,118,-22,-19,-74,-63,-39,20,93,-119,71,-27,62,37,-14,-118)\n20: 1\n21: Coll(93,72,114,-24,26,-6,-36,-125,34,23,-88,-83,36,-65,-47,-29,107,-87,-34,43,88,-116,-8,-80,68,21,80,-1,-9,-115,-39,-13)\n22: 6\n23: 0\n24: 100\n25: 5\n26: 0\n27: 2\n28: 0\n29: Coll(-68,-88,-80,-42,45,27,65,-97,8,-33,-53,-8,95,-44,76,-16,-69,122,-116,-94,64,23,66,89,110,-32,-99,7,47,103,85,55)\n30: 0\n31: 3\n32: 0",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  val coll2 = box1.tokens\n  val tuple3 = coll2(placeholder[Int](1))\n  val l4 = tuple3._2\n  val l5 = SELF.tokens(placeholder[Int](2))._2\n  val coll6 = tuple3._1\n  val coll7 = placeholder[Coll[Byte]](3)\n  if (l4 == l5) { placeholder[SigmaProp](4) } else {\n    if (l4 == l5 + placeholder[Long](5)) {\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box1.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, box1.R4[Long].get == SELF.R4[Long].get, box1.propositionBytes == SELF.propositionBytes, coll2(\n              placeholder[Int](6)\n            )._1 == placeholder[Coll[Byte]](7), coll6 == placeholder[Coll[Byte]](8), box1.value >= SELF.value\n          )\n        )\n      )\n    } else {(\n      val i8 = OUTPUTS.size\n      if ((i8 == placeholder[Int](9)) && (OUTPUTS(placeholder[Int](10)).tokens.size > placeholder[Int](11))) { sigmaProp(placeholder[Boolean](12)) } else {(\n        val l9 = SELF.R4[Long].get\n        val coll10 = SELF.R5[Coll[Byte]].get\n        val box11 = OUTPUTS(placeholder[Int](13))\n        val coll12 = box11.R4[Coll[Long]].get\n        val l13 = coll12(placeholder[Int](14))\n        val l14 = coll12(placeholder[Int](15))\n        val coll15 = SELF.id\n        val box16 = OUTPUTS(placeholder[Int](16))\n        sigmaProp(\n          allOf(\n            Coll[Boolean](\n              i8 <= placeholder[Int](17), box1.propositionBytes == SELF.propositionBytes, coll2(placeholder[Int](18))._1 == placeholder[Coll[Byte]](\n                19\n              ), coll6 == coll7, box1.value >= SELF.value, l4 == l5 - placeholder[Long](20), box1.R4[Long].get == l9, box1.R5[\n                Coll[Byte]\n              ].get == coll10, blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](21), coll12.size == placeholder[Int](\n                22\n              ), l13 == l9, l14 > placeholder[Long](23), l14 + l13 < placeholder[Long](24), coll12(placeholder[Int](25)) == placeholder[Long](26), box11.R5[\n                Coll[Byte]\n              ].isDefined, box11.R6[Coll[Coll[Byte]]].get.size >= placeholder[Int](27), box11.R7[Coll[Byte]].get == coll10, box11.R8[\n                Coll[Byte]\n              ].get == coll15, box11.tokens(placeholder[Int](28))._1 == coll7, blake2b256(box16.propositionBytes) == placeholder[Coll[Byte]](29), box16.tokens(\n                placeholder[Int](30)\n              )._1 == coll15, OUTPUTS(placeholder[Int](31)).tokens.size == placeholder[Int](32)\n            )\n          )\n        )\n      )}\n    )}\n  }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "53577ffaa01a07d66ed7f1170932a7391976eaedb6c1d9145d8947e53e25f28a",
          "index": 0,
          "amount": 1,
          "name": "ErgoRaffle NFT V1",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "32b3ce8196bd7ac4deb7e38e76e9a576ca4f449ad30cc22ee33e10a975893c76",
          "index": 1,
          "amount": 999999999999996,
          "name": "ErgoRaffle Token V1",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "050a",
          "sigmaType": "SLong",
          "renderedValue": "5"
        },
        "R5": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        }
      },
      "spentTransactionId": "5ede0de946954074f525c79d33b277b6ccde0526b9172bc61ca327fb96af131a",
      "mainChain": true
    },
    {
      "boxId": "a5879526dc7291c8970c3f74448a9b686a8809e5e90a0da6d7ef4b4159badfe7",
      "transactionId": "560c59093c50ba0478d1020f740f4d03c05975bf331092445d0b06df2006ffee",
      "blockId": "7a475efcddc04d86bce1bec90af836f1840bf83510529a3e4c8ee9c571ee3004",
      "value": 3000000,
      "index": 1,
      "globalIndex": 29144895,
      "creationHeight": 1004482,
      "settlementHeight": 1004484,
      "ergoTree": "1003040004020e202fefce4da2d4d278e63e92bd257543210c6b7cd01b5bfa098cfc40ec6db36d33d801d601b2a5730000d196830701938cb2db6308720173010001e4c6a7080e93c17201c1a793cbc27201730293e4c672010411e4c6a7041193e4c67201050ee4c6a7050e93e4c67201061ae4c6a7061a93e4c67201070ee4c6a7070e",
      "ergoTreeConstants": "0: 0\n1: 1\n2: Coll(47,-17,-50,77,-94,-44,-46,120,-26,62,-110,-67,37,117,67,33,12,107,124,-48,27,91,-6,9,-116,-4,64,-20,109,-77,109,51)",
      "ergoTreeScript": "{\n  val box1 = OUTPUTS(placeholder[Int](0))\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        box1.tokens(placeholder[Int](1))._1 == SELF.R8[Coll[Byte]].get, box1.value == SELF.value, blake2b256(box1.propositionBytes) == placeholder[Coll[Byte]](\n          2\n        ), box1.R4[Coll[Long]].get == SELF.R4[Coll[Long]].get, box1.R5[Coll[Byte]].get == SELF.R5[Coll[Byte]].get, box1.R6[Coll[Coll[Byte]]].get == SELF.R6[\n          Coll[Coll[Byte]]\n        ].get, box1.R7[Coll[Byte]].get == SELF.R7[Coll[Byte]].get\n      )\n    )\n  )\n}",
      "address": "22EKWbjr7teRPrjVnuekabytw2LEXfEGvJbZU6pHn19YydXG3pqSH7gUe3t4aFC3vFnTZzGcY6W5iJB5vCH22bRfdzqXrd9faZ2rQTsSHBWLm19mTSxHoxSxkRZ2793RXiKPVwWuewk4GtavKNZMKCxsp5H4jDbmjSyidcPqEUNGGwz1GkpqxhwRrZM",
      "assets": [
        {
          "tokenId": "32b3ce8196bd7ac4deb7e38e76e9a576ca4f449ad30cc22ee33e10a975893c76",
          "index": 0,
          "amount": 1,
          "name": "ErgoRaffle Token V1",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd02caad8be6eb8727f7ed4903a0bbfd7e57d62779d4de562522c648bf5026742191",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02caad8be6eb8727f7ed4903a0bbfd7e57d62779d4de562522c648bf5026742191"
        },
        "R6": {
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          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[4572676f204c696768746e696e67202d204c617965722032205363616c696e67,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,697066733a2f2f6261666b72656962617a73677970617834637476756871356c7436756d72687568746f786161776565747a7075376e7176656b6a633571777a6a75]"
        },
        "R8": {
          "serializedValue": "0e20d70383959564b98a34a8d5a5035cfe71fca48cc69b6cd6028f1dc837c8dff502",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "d70383959564b98a34a8d5a5035cfe71fca48cc69b6cd6028f1dc837c8dff502"
        },
        "R7": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        },
        "R4": {
          "serializedValue": "1106bc010a80a8d6b90780a09ff58ac0019ee87c00",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[94,5,1000000000,3300000000000,1022479,0]"
        }
      },
      "spentTransactionId": "83422047251ad0ee1af0911fef152a61efe6f2c8b591fc13daada1fffd473a03",
      "mainChain": true
    },
    {
      "boxId": "09cc3433a6f3bb7561ede70187efefbcdff806931b9c18bd1d1fd561f126148f",
      "transactionId": "560c59093c50ba0478d1020f740f4d03c05975bf331092445d0b06df2006ffee",
      "blockId": "7a475efcddc04d86bce1bec90af836f1840bf83510529a3e4c8ee9c571ee3004",
      "value": 1500000,
      "index": 2,
      "globalIndex": 29144896,
      "creationHeight": 1004482,
      "settlementHeight": 1004484,
      "ergoTree": "100604000402040004000e2032b3ce8196bd7ac4deb7e38e76e9a576ca4f449ad30cc22ee33e10a975893c760400d804d601db6308b2a5730000d602b27201730100d603b2db6308a7730200d6048c720301d196830401938cb27201730300017304938c7202017204938c7202028c720302937204e4c6b2a4730500080e",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 0\n4: Coll(50,-77,-50,-127,-106,-67,122,-60,-34,-73,-29,-114,118,-23,-91,118,-54,79,68,-102,-45,12,-62,46,-29,62,16,-87,117,-119,60,118)\n5: 0",
      "ergoTreeScript": "{\n  val coll1 = OUTPUTS(placeholder[Int](0)).tokens\n  val tuple2 = coll1(placeholder[Int](1))\n  val tuple3 = SELF.tokens(placeholder[Int](2))\n  val coll4 = tuple3._1\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        coll1(placeholder[Int](3))._1 == placeholder[Coll[Byte]](4), tuple2._1 == coll4, tuple2._2 == tuple3._2, coll4 == INPUTS(placeholder[Int](5)).R8[\n          Coll[Byte]\n        ].get\n      )\n    )\n  )\n}",
      "address": "TwzjyySddUnYsBxgQ6zF3dRQNBWrcidLTSzZBA8q1Tof3yL9mK3cGo7MfAxnYZ32ZjjZf9b2w9Fq57a7S2ahiSWVhy8GNnJfgL4Gc8WkGyJXbmVtGFaHh3Z6EtrwNqtcjNZLiadvAQcDicYS8geZj4njh8DNSm7dVFeTMP3bc5hDjCRD1n",
      "assets": [
        {
          "tokenId": "d70383959564b98a34a8d5a5035cfe71fca48cc69b6cd6028f1dc837c8dff502",
          "index": 0,
          "amount": 1000000000,
          "name": "Raffle_token: Ergo Lightning - Layer 2 Scaling",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e2e526166666c655f746f6b656e3a204572676f204c696768746e696e67202d204c617965722032205363616c696e67",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "526166666c655f746f6b656e3a204572676f204c696768746e696e67202d204c617965722032205363616c696e67"
        },
        "R5": {
          "serializedValue": "0e2e526166666c655f746f6b656e3a204572676f204c696768746e696e67202d204c617965722032205363616c696e67",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "526166666c655f746f6b656e3a204572676f204c696768746e696e67202d204c617965722032205363616c696e67"
        },
        "R6": {
          "serializedValue": "0e0130",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "30"
        }
      },
      "spentTransactionId": "83422047251ad0ee1af0911fef152a61efe6f2c8b591fc13daada1fffd473a03",
      "mainChain": true
    },
    {
      "boxId": "c6018943e53c5f67b29ae65dc97c07ceb0e7ccd79d1402696c7c11fb113adc8b",
      "transactionId": "560c59093c50ba0478d1020f740f4d03c05975bf331092445d0b06df2006ffee",
      "blockId": "7a475efcddc04d86bce1bec90af836f1840bf83510529a3e4c8ee9c571ee3004",
      "value": 1500000,
      "index": 3,
      "globalIndex": 29144897,
      "creationHeight": 1004482,
      "settlementHeight": 1004484,
      "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": "33c076f23351d46adf0cd888a3e81dae3dcbde36e6b6c8c36304dfea7e96c4e7",
      "mainChain": true
    }
  ],
  "size": 2541,
  "isUnconfirmed": false
}