Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
423 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
100 ERG
Outputs (3)
Spent in transaction:
Settlement height:
Value:
523 ERG
Tokens:
Loading assets...
Settlement height:
Value:
0.0015 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Transaction Details
Status: Confirmed
Size: 2.78 KB
Received time: 9/12/2022 07:50:18 PM
Included in blocks: 837,101
Confirmations: 921,717
Total coins transferred: 523.01 ERG
Fees: 0.0015 ERG
Fees per byte: 0.000000527 ERG
Raw Transaction Data
{
  "id": "a3717a4e6cbc30651a87efc8902855b6fdc65d4208de7540914599fda70641a0",
  "blockId": "60f831df5d987048ee5a6da0ad4721674b422220e698051c5cfff2e37e63d7bf",
  "inclusionHeight": 837101,
  "timestamp": 1663012218399,
  "index": 3,
  "globalIndex": 3996482,
  "numConfirmations": 921717,
  "inputs": [
    {
      "boxId": "8712085fa3fe46406c5c306ff3836a2fd6e1ef10eeb3fb9245fa1b1db13faa20",
      "value": 423003000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "e5961f6e87d6a3d0159058383f28a3baf030c258327ad975ebd0757619aad8ef",
      "outputTransactionId": "f1911f70f9664bf6bd27e3e2c701c905c722edca4fa3b84076475a62bae327b4",
      "outputIndex": 0,
      "outputGlobalIndex": 21551408,
      "outputCreatedAt": 837082,
      "outputSettledAt": 837085,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 4\n1: 0\n2: 0\n3: 1\n4: 2\n5: 3\n6: 5\n7: 5\n8: 1\n9: 0\n10: 1\n11: 0\n12: 0\n13: 0\n14: 1\n15: 2\n16: 3\n17: 4\n18: Coll(114,-65,-50,6,109,83,-90,-80,-6,83,87,-62,-61,108,-23,34,-78,-61,18,-42,4,9,37,-110,66,-1,97,-3,-53,99,-127,-14)\n19: 1\n20: 1500000\n21: 0\n22: 1\n23: 2\n24: 3\n25: 0\n26: 1\n27: 1\n28: 100\n29: 100\n30: 1\n31: 2\n32: Coll(-67,69,87,21,66,-104,-7,-21,117,34,35,-117,86,-16,-27,33,65,125,-108,75,-14,40,85,-101,-73,1,-45,104,39,-85,122,83)\n33: 0\n34: 15\n35: 0\n36: 0\n37: 0\n38: Coll(1,29,51,100,-34,7,-27,-94,111,12,78,-17,8,82,-51,-37,56,112,57,-87,33,-73,21,78,-13,-54,-78,44,110,-38,-120,127)\n39: 1\n40: 1\n41: Coll(24,-29,72,106,105,-42,-50,121,-76,75,13,-125,121,-52,-78,-15,24,7,-110,5,-82,-57,27,15,-34,76,-69,27,-84,-8,107,-42)\n42: 0\n43: 0\n44: 1500000",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Long]].get\n  val l2 = coll1(placeholder[Int](0))\n  val box3 = OUTPUTS(placeholder[Int](1))\n  val coll4 = SELF.R5[Coll[Byte]].get\n  val coll5 = SELF.R7[Coll[Byte]].get\n  val coll6 = box3.R4[Coll[Long]].get\n  val l7 = coll1(placeholder[Int](2))\n  val l8 = coll1(placeholder[Int](3))\n  val l9 = coll1(placeholder[Int](4))\n  val l10 = coll1(placeholder[Int](5))\n  val l11 = coll1(placeholder[Int](6))\n  val l12 = coll6(placeholder[Int](7))\n  val l13 = l11 * l9\n  val bi14 = l11.toBigInt\n  if (HEIGHT.toLong < l2) {(\n    val coll15 = box3.tokens\n    val coll16 = SELF.tokens\n    val box17 = OUTPUTS(placeholder[Int](8))\n    val tuple18 = box17.tokens(placeholder[Int](9))\n    val l19 = tuple18._2\n    val tuple20 = coll16(placeholder[Int](10))\n    val coll21 = box17.R5[Coll[Long]].get\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll15(placeholder[Int](11))._1 == coll16(placeholder[Int](12))._1, box3.propositionBytes == SELF.propositionBytes, box3.R5[\n            Coll[Byte]\n          ].get == coll4, box3.R6[Coll[Coll[Byte]]].get == SELF.R6[Coll[Coll[Byte]]].get, box3.R7[Coll[Byte]].get == coll5, coll6(\n            placeholder[Int](13)\n          ) == l7, coll6(placeholder[Int](14)) == l8, coll6(placeholder[Int](15)) == l9, coll6(placeholder[Int](16)) == l10, coll6(\n            placeholder[Int](17)\n          ) == l2, l12 == l11 + l19, blake2b256(box17.propositionBytes) == placeholder[Coll[Byte]](18), tuple18._1 == tuple20._1, tuple20._2 == coll15(\n            placeholder[Int](19)\n          )._2 + l19, box17.value >= placeholder[Long](20), box3.value == SELF.value + l19 * l9, box17.R4[Coll[Byte]].isDefined, coll21(\n            placeholder[Int](21)\n          ) == l11, coll21(placeholder[Int](22)) == l12, coll21(placeholder[Int](23)) == l2, coll21(placeholder[Int](24)) == l9\n        )\n      )\n    )\n  )} else { if (l13 >= l10) {(\n      val box15 = CONTEXT.dataInputs(placeholder[Int](25))\n      val coll16 = box3.tokens\n      val coll17 = SELF.tokens\n      val tuple18 = coll16(placeholder[Int](26))\n      val tuple19 = coll17(placeholder[Int](27))\n      val l20 = l13 * l7 / placeholder[Long](28)\n      val l21 = l13 * l8 / placeholder[Long](29)\n      val box22 = OUTPUTS(placeholder[Int](30))\n      val box23 = OUTPUTS(placeholder[Int](31))\n      sigmaProp(allOf(Coll[Boolean](blake2b256(box3.propositionBytes) == placeholder[Coll[Byte]](32), coll6 == coll1, box3.R5[Coll[Byte]].get == coll4, box3.R6[Coll[Coll[Byte]]].get == SELF.R6[Coll[Coll[Byte]]].get, box3.R7[Coll[Byte]].get == coll5, box3.R8[Long].get.toBigInt == byteArrayToBigInt(box15.id.slice(placeholder[Int](33), placeholder[Int](34))) % bi14 + bi14 % bi14, coll16(placeholder[Int](35))._1 == coll17(placeholder[Int](36))._1, tuple18._1 == tuple19._1, tuple18._2 == tuple19._2, box3.value >= l13 - l20 - l21, box22.propositionBytes == coll4, box22.value >= l20, box23.propositionBytes == coll5, box23.value >= l21, box15.tokens(placeholder[Int](37))._1 == placeholder[Coll[Byte]](38), box15.creationInfo._1.toLong > l2)))\n    )} else {(\n      val coll15 = box3.tokens\n      val coll16 = SELF.tokens\n      val tuple17 = coll15(placeholder[Int](39))\n      val tuple18 = coll16(placeholder[Int](40))\n      sigmaProp(allOf(Coll[Boolean](blake2b256(box3.propositionBytes) == placeholder[Coll[Byte]](41), coll6 == coll1, box3.R5[Coll[Byte]].get == coll4, box3.R6[Coll[Coll[Byte]]].get == SELF.R6[Coll[Coll[Byte]]].get, coll15(placeholder[Int](42))._1 == coll16(placeholder[Int](43))._1, tuple17._1 == tuple18._1, tuple17._2 == tuple18._2, box3.value == SELF.value - placeholder[Long](44))))\n    )} }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "32b3ce8196bd7ac4deb7e38e76e9a576ca4f449ad30cc22ee33e10a975893c76",
          "index": 0,
          "amount": 1,
          "name": "ErgoRaffle Token V1",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "6b4c9159bc885885aba67d8e800e9735193b8c2d2d4e8469e2bbc8db5b9666c9",
          "index": 1,
          "amount": 999999154,
          "name": "Raffle_token: ErgoTutorials.com Translations",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1106b4010a8094ebdc0380d0e4a88952d4ab669c0d",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[90,5,500000000,1410000000000,838378,846]"
        },
        "R5": {
          "serializedValue": "0e240008cd031ad4c8d9d90faaa63f70277e2c1a948e4dcbb27c1f06da4996c1aeb18ea05972",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd031ad4c8d9d90faaa63f70277e2c1a948e4dcbb27c1f06da4996c1aeb18ea05972"
        },
        "R6": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[4572676f5475746f7269616c732e636f6d205472616e736c6174696f6e73,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,697066733a2f2f6261666b726569666f6270327661743365716c7165356761366b676f766b377a7a73736c36797534706373683767656e6c6c706736326264756d6d]"
        },
        "R7": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        }
      }
    },
    {
      "boxId": "55e2681fca3cdadf9dd17893f93770890f80782ae8324cc2ddf8ac93e8cd4b6a",
      "value": 100003000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "fb10157e1e58d3ef35708c71e4bdcc9a282775bb4a00c01946c59ce9a1f244f5",
      "outputTransactionId": "32456cf23b0791c3b8036e4e34efdf645581fc5482495cc78e019d78785a3b9b",
      "outputIndex": 0,
      "outputGlobalIndex": 21552045,
      "outputCreatedAt": 837090,
      "outputSettledAt": 837092,
      "ergoTree": "100f040404020e240008cd0272eef9f3de497d5f76e15c9d7f8a91bfc87610899196f8677989876e83e354d1040004020e206b4c9159bc885885aba67d8e800e9735193b8c2d2d4e8469e2bbc8db5b9666c9040005900304000e240008cd0272eef9f3de497d5f76e15c9d7f8a91bfc87610899196f8677989876e83e354d104ec976605d4ab660404040205c08db701d801d601b1a5959172017300d801d602b2a5730100d1eded93e4c67202040e7302938cb2db6308b2a4730300730400017305938cb2db63087202730600027307d19683040193c2b2a57308007309ec91a3730a927ea305730b937201730c90c1b2a5730d00730e",
      "ergoTreeConstants": "0: 2\n1: 1\n2: Coll(0,8,-51,2,114,-18,-7,-13,-34,73,125,95,118,-31,92,-99,127,-118,-111,-65,-56,118,16,-119,-111,-106,-8,103,121,-119,-121,110,-125,-29,84,-47)\n3: 0\n4: 1\n5: Coll(107,76,-111,89,-68,-120,88,-123,-85,-90,125,-114,-128,14,-105,53,25,59,-116,45,45,78,-124,105,-30,-69,-56,-37,91,-106,102,-55)\n6: 0\n7: 200\n8: 0\n9: Coll(0,8,-51,2,114,-18,-7,-13,-34,73,125,95,118,-31,92,-99,127,-118,-111,-65,-56,118,16,-119,-111,-106,-8,103,121,-119,-121,110,-125,-29,84,-47)\n10: 837110\n11: 838378\n12: 2\n13: 1\n14: 1500000",
      "ergoTreeScript": "{\n  val i1 = OUTPUTS.size\n  if (i1 > placeholder[Int](0)) {(\n    val box2 = OUTPUTS(placeholder[Int](1))\n    sigmaProp(\n      (\n        (box2.R4[Coll[Byte]].get == placeholder[Coll[Byte]](2)) && (INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == placeholder[Coll[Byte]](5))\n      ) && (box2.tokens(placeholder[Int](6))._2 == placeholder[Long](7))\n    )\n  )} else {\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          OUTPUTS(placeholder[Int](8)).propositionBytes == placeholder[Coll[Byte]](9), (HEIGHT > placeholder[Int](10)) || (\n            HEIGHT.toLong >= placeholder[Long](11)\n          ), i1 == placeholder[Int](12), OUTPUTS(placeholder[Int](13)).value <= placeholder[Long](14)\n        )\n      )\n    )\n  }\n}",
      "address": "2Fmo1PkBQPt29akeY55YXVamRGD6mVFUfrnNuTH5asw7kdsvY8oEWCoMvyvsfheRxyKHZEg1qeaaq2f6r3Jyz72ZAC2ehKLSZnZN7nZJeHFHN5FMxpMQ6VZB1uzY2GUfBxyoiZFgPMRjFiwEsBgCgjzB5ZCZaD5ZauxCp2rLuqLV2bnazs8a3QjWnXox3rNw18mpgEXprvRgPcV1EYk6h6e6i2KYNhRtFwB5WtdULkUep6C52vqUHiSFAGyJox4SqBnBpTqKtNczWLY2sbxDkrUJPzQ1xuCFCQcoxZqmJUbtCNt97QyhosFZH8PiJvwM5J9s5VrMUSMB5CXCBSZkhLRJ",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "59bf9843832c51466fbf2e01ad10cb1d4f0fb5743e462bc37b66202c9263a3bd",
      "transactionId": "a3717a4e6cbc30651a87efc8902855b6fdc65d4208de7540914599fda70641a0",
      "blockId": "60f831df5d987048ee5a6da0ad4721674b422220e698051c5cfff2e37e63d7bf",
      "value": 523003000000,
      "index": 0,
      "globalIndex": 21552816,
      "creationHeight": 837090,
      "settlementHeight": 837101,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 4\n1: 0\n2: 0\n3: 1\n4: 2\n5: 3\n6: 5\n7: 5\n8: 1\n9: 0\n10: 1\n11: 0\n12: 0\n13: 0\n14: 1\n15: 2\n16: 3\n17: 4\n18: Coll(114,-65,-50,6,109,83,-90,-80,-6,83,87,-62,-61,108,-23,34,-78,-61,18,-42,4,9,37,-110,66,-1,97,-3,-53,99,-127,-14)\n19: 1\n20: 1500000\n21: 0\n22: 1\n23: 2\n24: 3\n25: 0\n26: 1\n27: 1\n28: 100\n29: 100\n30: 1\n31: 2\n32: Coll(-67,69,87,21,66,-104,-7,-21,117,34,35,-117,86,-16,-27,33,65,125,-108,75,-14,40,85,-101,-73,1,-45,104,39,-85,122,83)\n33: 0\n34: 15\n35: 0\n36: 0\n37: 0\n38: Coll(1,29,51,100,-34,7,-27,-94,111,12,78,-17,8,82,-51,-37,56,112,57,-87,33,-73,21,78,-13,-54,-78,44,110,-38,-120,127)\n39: 1\n40: 1\n41: Coll(24,-29,72,106,105,-42,-50,121,-76,75,13,-125,121,-52,-78,-15,24,7,-110,5,-82,-57,27,15,-34,76,-69,27,-84,-8,107,-42)\n42: 0\n43: 0\n44: 1500000",
      "ergoTreeScript": "{\n  val coll1 = SELF.R4[Coll[Long]].get\n  val l2 = coll1(placeholder[Int](0))\n  val box3 = OUTPUTS(placeholder[Int](1))\n  val coll4 = SELF.R5[Coll[Byte]].get\n  val coll5 = SELF.R7[Coll[Byte]].get\n  val coll6 = box3.R4[Coll[Long]].get\n  val l7 = coll1(placeholder[Int](2))\n  val l8 = coll1(placeholder[Int](3))\n  val l9 = coll1(placeholder[Int](4))\n  val l10 = coll1(placeholder[Int](5))\n  val l11 = coll1(placeholder[Int](6))\n  val l12 = coll6(placeholder[Int](7))\n  val l13 = l11 * l9\n  val bi14 = l11.toBigInt\n  if (HEIGHT.toLong < l2) {(\n    val coll15 = box3.tokens\n    val coll16 = SELF.tokens\n    val box17 = OUTPUTS(placeholder[Int](8))\n    val tuple18 = box17.tokens(placeholder[Int](9))\n    val l19 = tuple18._2\n    val tuple20 = coll16(placeholder[Int](10))\n    val coll21 = box17.R5[Coll[Long]].get\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll15(placeholder[Int](11))._1 == coll16(placeholder[Int](12))._1, box3.propositionBytes == SELF.propositionBytes, box3.R5[\n            Coll[Byte]\n          ].get == coll4, box3.R6[Coll[Coll[Byte]]].get == SELF.R6[Coll[Coll[Byte]]].get, box3.R7[Coll[Byte]].get == coll5, coll6(\n            placeholder[Int](13)\n          ) == l7, coll6(placeholder[Int](14)) == l8, coll6(placeholder[Int](15)) == l9, coll6(placeholder[Int](16)) == l10, coll6(\n            placeholder[Int](17)\n          ) == l2, l12 == l11 + l19, blake2b256(box17.propositionBytes) == placeholder[Coll[Byte]](18), tuple18._1 == tuple20._1, tuple20._2 == coll15(\n            placeholder[Int](19)\n          )._2 + l19, box17.value >= placeholder[Long](20), box3.value == SELF.value + l19 * l9, box17.R4[Coll[Byte]].isDefined, coll21(\n            placeholder[Int](21)\n          ) == l11, coll21(placeholder[Int](22)) == l12, coll21(placeholder[Int](23)) == l2, coll21(placeholder[Int](24)) == l9\n        )\n      )\n    )\n  )} else { if (l13 >= l10) {(\n      val box15 = CONTEXT.dataInputs(placeholder[Int](25))\n      val coll16 = box3.tokens\n      val coll17 = SELF.tokens\n      val tuple18 = coll16(placeholder[Int](26))\n      val tuple19 = coll17(placeholder[Int](27))\n      val l20 = l13 * l7 / placeholder[Long](28)\n      val l21 = l13 * l8 / placeholder[Long](29)\n      val box22 = OUTPUTS(placeholder[Int](30))\n      val box23 = OUTPUTS(placeholder[Int](31))\n      sigmaProp(allOf(Coll[Boolean](blake2b256(box3.propositionBytes) == placeholder[Coll[Byte]](32), coll6 == coll1, box3.R5[Coll[Byte]].get == coll4, box3.R6[Coll[Coll[Byte]]].get == SELF.R6[Coll[Coll[Byte]]].get, box3.R7[Coll[Byte]].get == coll5, box3.R8[Long].get.toBigInt == byteArrayToBigInt(box15.id.slice(placeholder[Int](33), placeholder[Int](34))) % bi14 + bi14 % bi14, coll16(placeholder[Int](35))._1 == coll17(placeholder[Int](36))._1, tuple18._1 == tuple19._1, tuple18._2 == tuple19._2, box3.value >= l13 - l20 - l21, box22.propositionBytes == coll4, box22.value >= l20, box23.propositionBytes == coll5, box23.value >= l21, box15.tokens(placeholder[Int](37))._1 == placeholder[Coll[Byte]](38), box15.creationInfo._1.toLong > l2)))\n    )} else {(\n      val coll15 = box3.tokens\n      val coll16 = SELF.tokens\n      val tuple17 = coll15(placeholder[Int](39))\n      val tuple18 = coll16(placeholder[Int](40))\n      sigmaProp(allOf(Coll[Boolean](blake2b256(box3.propositionBytes) == placeholder[Coll[Byte]](41), coll6 == coll1, box3.R5[Coll[Byte]].get == coll4, box3.R6[Coll[Coll[Byte]]].get == SELF.R6[Coll[Coll[Byte]]].get, coll15(placeholder[Int](42))._1 == coll16(placeholder[Int](43))._1, tuple17._1 == tuple18._1, tuple17._2 == tuple18._2, box3.value == SELF.value - placeholder[Long](44))))\n    )} }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "32b3ce8196bd7ac4deb7e38e76e9a576ca4f449ad30cc22ee33e10a975893c76",
          "index": 0,
          "amount": 1,
          "name": "ErgoRaffle Token V1",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "6b4c9159bc885885aba67d8e800e9735193b8c2d2d4e8469e2bbc8db5b9666c9",
          "index": 1,
          "amount": 999998954,
          "name": "Raffle_token: ErgoTutorials.com Translations",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "1106b4010a8094ebdc0380d0e4a88952d4ab66ac10",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[90,5,500000000,1410000000000,838378,1046]"
        },
        "R5": {
          "serializedValue": "0e240008cd031ad4c8d9d90faaa63f70277e2c1a948e4dcbb27c1f06da4996c1aeb18ea05972",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd031ad4c8d9d90faaa63f70277e2c1a948e4dcbb27c1f06da4996c1aeb18ea05972"
        },
        "R6": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[4572676f5475746f7269616c732e636f6d205472616e736c6174696f6e73,3c703e4920686176652063726561746564207468697320726166666c6520746f2062652061626c6520746f2066696e616e63652074686520616e6e75616c20636f7374206f662074686520776562736974652c206275742061626f766520616c6c20746f2062652061626c6520746f20726577617264207468652070656f706c652077686f2068656c706564206d652073696e63652074686520626567696e6e696e67207769746820746865207475746f7269616c732074686174206172652063757272656e746c792061637469766520616e6420666f7220746865206e6577206f6e657320746861742061726520636f6d696e6720736f6f6e2e3c62723e266e6273703b3c2f703e3c703e54686520636f7374206f66206d61696e7461696e696e6720746865207765627369746520697320617070726f78696d6174656c7920e2869220323020455247202f20796561726c792e3c62723e266e6273703b3c2f703e3c703e5468657265206172652063757272656e746c7920636f6d706c6574656420e28692203739207475746f7269616c733a3c62723ee2869220456e676c6973682032363c2f703e3c703ee28692205370616e6973682032363c2f703e3c703ee28692204974616c69616e2031343c2f703e3c703ee28692204765726d616e20343c2f703e3c703ee2869220506f727475677565736520393c2f703e3c703e3c62723e492074686f756768742074686174206120736d616c6c20636f6e747269627574696f6e206f6620352045524720666f722065616368207472616e736c6174696f6e20776f756c6420626520677265617420666f72207468652070656f706c652077686f20646f207468656d2c20776f756c64206265206120677265617420696e63656e7469766520666f722065616368207472616e736c61746f722e3c2f703e3c703e3c62723e546865206964656120697320746f20616476616e636520746f206174206c65617374203530207475746f7269616c7320666f722065616368206c616e67756167652c3c2f703e3c703e7468657265666f72652c20746865206e65656420666f72207472616e736c6174696f6e7320697320e28692203235302045524720666f722065616368206c616e677561676520e2869220312c323530204552472e3c2f703e3c703e3c62723e313237302045524720e2869220466f7220657870656e73657320287472616e736c6174696f6e73202b2077656273697465292e3c2f703e3c703e37302045524720e2869220352025204572676f526166666c65206665652e3c2f703e3c703e37302045524720e286922035202520266e6273703b57696e6e65722e3c62723e313431302045524720e2869220544f54414c3c2f703e,697066733a2f2f6261666b726569666f6270327661743365716c7165356761366b676f766b377a7a73736c36797534706373683767656e6c6c706736326264756d6d]"
        },
        "R7": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        }
      },
      "spentTransactionId": "52e09fd2cfc35d1c8f22c058b113a63d3a76386a6a043a079d9602316665179a",
      "mainChain": true
    },
    {
      "boxId": "b941b89bc9fb4fb4e2d445f05015117c5c2835f6d07e3228ca59b19f331ca03b",
      "transactionId": "a3717a4e6cbc30651a87efc8902855b6fdc65d4208de7540914599fda70641a0",
      "blockId": "60f831df5d987048ee5a6da0ad4721674b422220e698051c5cfff2e37e63d7bf",
      "value": 1500000,
      "index": 1,
      "globalIndex": 21552817,
      "creationHeight": 837090,
      "settlementHeight": 837101,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 3\n1: 1\n2: 1\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: 1\n6: 0\n7: 0\n8: 1\n9: 0\n10: 1\n11: 1\n12: 0\n13: 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)\n14: 2\n15: 3\n16: false\n17: SigmaProp(ProveDlog(ECPoint(7a0d1f,2990ea,...)))\n18: 2\n19: 21600",
      "ergoTreeScript": "{\n  val i1 = INPUTS.size\n  sigmaProp(if (i1 == placeholder[Int](0)) {(\n      val box2 = OUTPUTS(placeholder[Int](1))\n      val box3 = INPUTS(placeholder[Int](2))\n      val coll4 = box3.tokens\n      allOf(Coll[Boolean](box2.value == box3.value, box2.propositionBytes == SELF.R4[Coll[Byte]].get, coll4(placeholder[Int](3))._1 == placeholder[Coll[Byte]](4), coll4(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1))\n    )} else {(\n      val coll2 = INPUTS(placeholder[Int](7)).tokens\n      if (coll2.size > placeholder[Int](8)) {(\n        val tuple3 = SELF.tokens(placeholder[Int](9))\n        val box4 = OUTPUTS(placeholder[Int](10))\n        allOf(Coll[Boolean](coll2(placeholder[Int](11))._1 == tuple3._1, coll2(placeholder[Int](12))._1 == placeholder[Coll[Byte]](13), i1 == placeholder[Int](14), box4.propositionBytes == SELF.R4[Coll[Byte]].get, box4.value == SELF.R5[Coll[Long]].get(placeholder[Int](15)) * tuple3._2))\n      )} else { placeholder[Boolean](16) }\n    )}) || placeholder[SigmaProp](17) && sigmaProp(HEIGHT.toLong > SELF.R5[Coll[Long]].get(placeholder[Int](18)) + placeholder[Long](19))\n}",
      "address": "KWS1gdArUXRDwTgdW5XbBHwZnusjpchYJcoZXYnFqyHN4Ere7BjZAdJepNdkAuE3ZbXyJxnXSwDKrvzmga5MgDEySeF7r42ixE8Q3VH11D9doJT7C2pxBHgn8qsCvaSwfG9zmyqYSqD1UTjXXpV5u3JPJFXT6fMtgM9dNsDr7o6i5gns7M54Gkv7iMkQgSWtCHBC6CaKfBpmXUkoRYCvjxEjSuj4MFUG48psPeU8JaFcPWuj4k6vnjatG7WyLng2zGYsHWSAtAk4kJ2EkHrNZtY2gmC3UePuX7KAeoFyAMB7CquEThKvumCDZTUuZpwMnqzLH6tToiAMPqNyXVphWpTmquobhVY7DJGTzFV5LyYqfomGwhsftE1u4Kt2vPY3Zbjwzp5kzkhvJwKu9ouxVKrb4XRaoKWy7qX2Ne8gi2SHykeRX2dCtKMaeAeyXaCNGPwd2yVPPodBK62FEopCFGrRbbuzr7rzjLTU",
      "assets": [
        {
          "tokenId": "6b4c9159bc885885aba67d8e800e9735193b8c2d2d4e8469e2bbc8db5b9666c9",
          "index": 0,
          "amount": 200,
          "name": "Raffle_token: ErgoTutorials.com Translations",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd0272eef9f3de497d5f76e15c9d7f8a91bfc87610899196f8677989876e83e354d1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd0272eef9f3de497d5f76e15c9d7f8a91bfc87610899196f8677989876e83e354d1"
        },
        "R5": {
          "serializedValue": "11049c0dac10d4ab668094ebdc03",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[846,1046,838378,500000000]"
        }
      },
      "spentTransactionId": null,
      "mainChain": true
    },
    {
      "boxId": "4847b6310e5487436c65c7a0a668e828263376f61401c3375bc260dd32beb291",
      "transactionId": "a3717a4e6cbc30651a87efc8902855b6fdc65d4208de7540914599fda70641a0",
      "blockId": "60f831df5d987048ee5a6da0ad4721674b422220e698051c5cfff2e37e63d7bf",
      "value": 1500000,
      "index": 2,
      "globalIndex": 21552818,
      "creationHeight": 837090,
      "settlementHeight": 837101,
      "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": "c43eeb88c849199e02281f6e52db516cc426cfa3ebff26e4bb802760823d33e7",
      "mainChain": true
    }
  ],
  "size": 2845,
  "isUnconfirmed": false
}