Ad
Inputs (2)
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
2 ERG
Outputs (3)
Spent in transaction:
Settlement height:
Value:
2 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: 1.89 KB
Received time: 11/1/2022 08:45:56 PM
Included in blocks: 865,624
Confirmations: 909,728
Total coins transferred: 2.01 ERG
Fees: 0.0015 ERG
Fees per byte: 0.000000776 ERG
Raw Transaction Data
{
  "id": "46d7b9dda17197d291463c2bc6ef02076383baa1e680de0eaf66b76f5496ba9b",
  "blockId": "50dabeef7003261b2e923e0d70f7d72e45659292dcc9cba6ecef85e4ba923e99",
  "inclusionHeight": 865624,
  "timestamp": 1667335556996,
  "index": 5,
  "globalIndex": 4258559,
  "numConfirmations": 909728,
  "inputs": [
    {
      "boxId": "0fe44a8e09813a557dac6ac7ae940365b30a832f963494eb9776aaffe6d572a3",
      "value": 3000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "b0e00fcb4b2b26a62723ed3cb291b5e62df7aa7cfb1bdd944d74f5d3f76f75bc",
      "outputTransactionId": "534249e00f1e1a69a90e2aef6663eafc3f82bb40ea918f853861760cdecd41bc",
      "outputIndex": 0,
      "outputGlobalIndex": 23192610,
      "outputCreatedAt": 865618,
      "outputSettledAt": 865620,
      "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": "754e31effc1cd6aed788b14d4850ee905cb39af0c565377ece511ced824b06f1",
          "index": 1,
          "amount": 1000000000,
          "name": "Raffle_token: Christmas presents for poor kids",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "11068c010a80a8d6b90780a094a58d1dd2bf6b00",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[70,5,1000000000,500000000000,880617,0]"
        },
        "R5": {
          "serializedValue": "0e240008cd038a3c9d9ff589868176150ce54335873febdef4edf7040d80d9662ab792b45f6f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd038a3c9d9ff589868176150ce54335873febdef4edf7040d80d9662ab792b45f6f"
        },
        "R6": {
          "serializedValue": "1a02204368726973746d61732070726573656e747320666f7220706f6f72206b6964739f013c703e48656c7020757320746f206272696e6720736f6d652070726573656e747320666f7220706f6f72206b696473207468697320796561722e205765276c6c2062757920636c6f746865732c20746f79732c2073776565742063616e6469657320616e6420666f6f6420666f72207468656d2e20416e7920646f6e6174696f6e2069732077656c636f6d65642021205468616e6b20796f7520213c2f703e",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[4368726973746d61732070726573656e747320666f7220706f6f72206b696473,3c703e48656c7020757320746f206272696e6720736f6d652070726573656e747320666f7220706f6f72206b696473207468697320796561722e205765276c6c2062757920636c6f746865732c20746f79732c2073776565742063616e6469657320616e6420666f6f6420666f72207468656d2e20416e7920646f6e6174696f6e2069732077656c636f6d65642021205468616e6b20796f7520213c2f703e]"
        },
        "R7": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        }
      }
    },
    {
      "boxId": "55b11a6b1ab187117bab00c7a613e3b0395bf344e63a51711467b2fe421d12c8",
      "value": 2003000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "50dabeef7003261b2e923e0d70f7d72e45659292dcc9cba6ecef85e4ba923e99",
      "outputTransactionId": "116e4c4001ad8b22e4bf2b43148e76277b18d0370b99603e2a80f4712cc33100",
      "outputIndex": 0,
      "outputGlobalIndex": 23192972,
      "outputCreatedAt": 865622,
      "outputSettledAt": 865624,
      "ergoTree": "100f040404020e240008cd029c15504055177693f9c19fd0208eb8478a7884196fe9bc859bee5450c0944d52040004020e20754e31effc1cd6aed788b14d4850ee905cb39af0c565377ece511ced824b06f10400050404000e240008cd029c15504055177693f9c19fd0208eb8478a7884196fe9bc859bee5450c0944d5204d4d56905d2bf6b0404040205c08db701d801d601b1a5959172017300d801d602b2a5730100d1eded93e4c67202040e7302938cb2db6308b2a4730300730400017305938cb2db63087202730600027307d19683040193c2b2a57308007309ec91a3730a927ea305730b937201730c90c1b2a5730d00730e",
      "ergoTreeConstants": "0: 2\n1: 1\n2: Coll(0,8,-51,2,-100,21,80,64,85,23,118,-109,-7,-63,-97,-48,32,-114,-72,71,-118,120,-124,25,111,-23,-68,-123,-101,-18,84,80,-64,-108,77,82)\n3: 0\n4: 1\n5: Coll(117,78,49,-17,-4,28,-42,-82,-41,-120,-79,77,72,80,-18,-112,92,-77,-102,-16,-59,101,55,126,-50,81,28,-19,-126,75,6,-15)\n6: 0\n7: 2\n8: 0\n9: Coll(0,8,-51,2,-100,21,80,64,85,23,118,-109,-7,-63,-97,-48,32,-114,-72,71,-118,120,-124,25,111,-23,-68,-123,-101,-18,84,80,-64,-108,77,82)\n10: 865642\n11: 880617\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": "HVGrw6FbJRFJocian4GCVUPHaSh5rf3v55ieijC2HrEZajVxkfDwHiPMJFsRw2YeS7FnnwiA49vbDGkoSeZ4db2r1B7ptajDfJnCdGAAUt6esswR8HU1A3HAcdjE3Vb8nhvg5QiG9AxPtYnu1A95CJtS3XhQRAB14eBtg5Hs11HQVQVYabsvKgQKEtBZqyRSc7RRoXF4vMoAZegiyJvc1vPRbDnPtXHYvnMHDN6wmhmxEPrLUAUsW6K3sdUpfnZCWtsMn7QJio3ePzbc2QSQ37QA4CevyHvM5aCSVeWsfAYJfUwyPUqf41K8bv3yejBmm7h19M5ogtfyVi74BtkhxU",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "b86faa93e83e6ea8f69f43d29b82e667f9ea868a6b74b5f044747367bd6cb53e",
      "transactionId": "46d7b9dda17197d291463c2bc6ef02076383baa1e680de0eaf66b76f5496ba9b",
      "blockId": "50dabeef7003261b2e923e0d70f7d72e45659292dcc9cba6ecef85e4ba923e99",
      "value": 2003000000,
      "index": 0,
      "globalIndex": 23192983,
      "creationHeight": 865622,
      "settlementHeight": 865624,
      "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": "754e31effc1cd6aed788b14d4850ee905cb39af0c565377ece511ced824b06f1",
          "index": 1,
          "amount": 999999998,
          "name": "Raffle_token: Christmas presents for poor kids",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "11068c010a80a8d6b90780a094a58d1dd2bf6b04",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[70,5,1000000000,500000000000,880617,2]"
        },
        "R5": {
          "serializedValue": "0e240008cd038a3c9d9ff589868176150ce54335873febdef4edf7040d80d9662ab792b45f6f",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd038a3c9d9ff589868176150ce54335873febdef4edf7040d80d9662ab792b45f6f"
        },
        "R6": {
          "serializedValue": "1a02204368726973746d61732070726573656e747320666f7220706f6f72206b6964739f013c703e48656c7020757320746f206272696e6720736f6d652070726573656e747320666f7220706f6f72206b696473207468697320796561722e205765276c6c2062757920636c6f746865732c20746f79732c2073776565742063616e6469657320616e6420666f6f6420666f72207468656d2e20416e7920646f6e6174696f6e2069732077656c636f6d65642021205468616e6b20796f7520213c2f703e",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[4368726973746d61732070726573656e747320666f7220706f6f72206b696473,3c703e48656c7020757320746f206272696e6720736f6d652070726573656e747320666f7220706f6f72206b696473207468697320796561722e205765276c6c2062757920636c6f746865732c20746f79732c2073776565742063616e6469657320616e6420666f6f6420666f72207468656d2e20416e7920646f6e6174696f6e2069732077656c636f6d65642021205468616e6b20796f7520213c2f703e]"
        },
        "R7": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        }
      },
      "spentTransactionId": "5577d99fac52bfde5eda24bd44d3718fc9502d96b461a92b8279c7546c51e37b",
      "mainChain": true
    },
    {
      "boxId": "97bf0d14edad6a06f53ed62dede6d529c08c3e0d825c586eb9a738418ae54ab0",
      "transactionId": "46d7b9dda17197d291463c2bc6ef02076383baa1e680de0eaf66b76f5496ba9b",
      "blockId": "50dabeef7003261b2e923e0d70f7d72e45659292dcc9cba6ecef85e4ba923e99",
      "value": 1500000,
      "index": 1,
      "globalIndex": 23192984,
      "creationHeight": 865622,
      "settlementHeight": 865624,
      "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": "754e31effc1cd6aed788b14d4850ee905cb39af0c565377ece511ced824b06f1",
          "index": 0,
          "amount": 2,
          "name": "Raffle_token: Christmas presents for poor kids",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd029c15504055177693f9c19fd0208eb8478a7884196fe9bc859bee5450c0944d52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd029c15504055177693f9c19fd0208eb8478a7884196fe9bc859bee5450c0944d52"
        },
        "R5": {
          "serializedValue": "11040004d2bf6b80a8d6b907",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,2,880617,1000000000]"
        }
      },
      "spentTransactionId": "7dd99bd9db5ee021be39119c2d208c74bbe3e98b6d16cd023e2380f0ded12fd8",
      "mainChain": true
    },
    {
      "boxId": "2596f7a2344b66edea39ca93cb5cc733dc6ac1316020bb6607a235d2e0325ad6",
      "transactionId": "46d7b9dda17197d291463c2bc6ef02076383baa1e680de0eaf66b76f5496ba9b",
      "blockId": "50dabeef7003261b2e923e0d70f7d72e45659292dcc9cba6ecef85e4ba923e99",
      "value": 1500000,
      "index": 2,
      "globalIndex": 23192985,
      "creationHeight": 865622,
      "settlementHeight": 865624,
      "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": "1921223706954f1df7f96e4df5776dbf3c37d5e413af486e2051cf257ce8c101",
      "mainChain": true
    }
  ],
  "size": 1932,
  "isUnconfirmed": false
}