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Transaction

10/5/2021 08:24:48 PM
ID: d411757d24...e30f
Inputs (2)
#0
76328308fd04...0bf7
Spent
Address:
AR862N4JEZKu...WyPD
Output transaction:
4db7d6f1d3af...31e2
Settlement height:
587,075
Value:
101 ERG
Tokens:
Loading assets...
#1
f59c31ab9731...ce82
Spent
Address:
FajX9T7xgyUv...aPUu
Output transaction:
bfb10d6f4541...2f79
Settlement height:
591,261
Value:
0.503 ERG
Outputs (3)
#0
e554d740bd7c...030d
Spent
Address:
AR862N4JEZKu...WyPD
Spent in transaction:
414f5a52fb7d...bcd8
Settlement height:
591,264
Value:
101.5 ERG
Tokens:
Loading assets...
#1
32c8ca58cfd3...9ca4
Spent
Address:
25JUUNN6TMw7...atVY
Spent in transaction:
b7a29147e1b4...587c
Settlement height:
591,264
Value:
0.0015 ERG
Tokens:
Loading assets...
#2
fdd8561307c9...7300
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
3cf19b75d450...f295
Settlement height:
591,264
Value:
0.0015 ERG
Transaction Details
Status: Confirmed
Size: 2.64 KB
Received time: 10/5/2021 08:24:48 PM
Included in blocks: 591,264
Confirmations: 1,183,821
Total coins transferred: 101.51 ERG
Fees: 0.0015 ERG
Fees per byte: 0.000000556 ERG
Raw Transaction Data
{
  "id": "d411757d249a50d2bd9aaa22eb037990ddc4771087afd24df7e23fdb2a47e30f",
  "blockId": "0b80452d7033250f604a283036abeb467c12b95d4f18d5fb81edac7ccb849772",
  "inclusionHeight": 591264,
  "timestamp": 1633465488485,
  "index": 5,
  "globalIndex": 1888461,
  "numConfirmations": 1183821,
  "inputs": [
    {
      "boxId": "76328308fd04727a576a4f81d16068998ee515279784b14c92629cc65c2b0bf7",
      "value": 101003000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "9a635753aecf801e6072e60af714b3255081d7a2df1bef67414df6efd8330dbd",
      "outputTransactionId": "4db7d6f1d3af96d6e0df0b75650fbf6016c323c824e76822fa3fc2cabe7031e2",
      "outputIndex": 0,
      "outputGlobalIndex": 7775939,
      "outputCreatedAt": 587073,
      "outputSettledAt": 587075,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 4\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: 2\n7: 2\n8: 3\n9: 3\n10: 4\n11: 5\n12: 5\n13: 1\n14: 0\n15: 1\n16: 0\n17: 0\n18: Coll(120,113,-116,55,59,66,27,-121,14,-60,-71,-37,-57,-72,30,-79,-97,112,-32,-124,-123,-2,98,-62,89,49,42,-47,-34,-113,85,9)\n19: 1\n20: 1\n21: 1500000\n22: 0\n23: 1\n24: 2\n25: 3\n26: 0\n27: 1\n28: 1\n29: 100\n30: 100\n31: 1\n32: 2\n33: Coll(20,107,87,-80,71,-3,59,-69,86,-120,122,-84,113,-70,-113,-40,-12,-49,-42,42,15,-122,125,81,-66,-106,53,2,27,-100,-43,-81)\n34: 0\n35: 15\n36: 0\n37: 0\n38: 1500000\n39: 0\n40: 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)\n41: 1\n42: 1\n43: Coll(-9,-13,-8,36,27,-73,117,-67,81,4,43,-67,-49,54,-64,-72,-22,31,-14,59,-24,123,-17,-58,-73,103,4,-71,40,-85,-86,53)\n44: 0\n45: 0\n46: 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 opt4 = SELF.R5[Coll[Byte]]\n  val opt5 = SELF.R7[Coll[Byte]]\n  val coll6 = box3.R4[Coll[Long]].get\n  val l7 = coll6(placeholder[Int](2))\n  val l8 = coll1(placeholder[Int](3))\n  val l9 = coll6(placeholder[Int](4))\n  val l10 = coll1(placeholder[Int](5))\n  val l11 = coll6(placeholder[Int](6))\n  val l12 = coll1(placeholder[Int](7))\n  val l13 = coll6(placeholder[Int](8))\n  val l14 = coll1(placeholder[Int](9))\n  val l15 = coll6(placeholder[Int](10))\n  val l16 = coll1(placeholder[Int](11))\n  val l17 = coll6(placeholder[Int](12))\n  val l18 = l16 * l12\n  val coll19 = opt4.get\n  val coll20 = opt5.get\n  val bi21 = l16.toBigInt\n  if (HEIGHT.toLong < l2) {(\n    val coll22 = box3.tokens\n    val coll23 = SELF.tokens\n    val box24 = OUTPUTS(placeholder[Int](13))\n    val coll25 = box24.tokens\n    val tuple26 = coll25(placeholder[Int](14))\n    val l27 = tuple26._2\n    val tuple28 = coll23(placeholder[Int](15))\n    val l29 = box3.value\n    val l30 = SELF.value\n    val coll31 = box24.R5[Coll[Long]].get\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll22(placeholder[Int](16))._1 == coll23(placeholder[Int](17))._1, box3.propositionBytes == SELF.propositionBytes, box3.R5[\n            Coll[Byte]\n          ] == opt4, box3.R6[Coll[Coll[Byte]]] == SELF.R6[Coll[Coll[Byte]]], box3.R7[\n            Coll[Byte]\n          ] == opt5, l7 == l8, l9 == l10, l11 == l12, l13 == l14, l15 == l2, l17 == l16 + l27, blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](\n            18\n          ), coll25.size == placeholder[Int](19), tuple26._1 == tuple28._1, tuple28._2 == coll22(\n            placeholder[Int](20)\n          )._2 + l27, l29 > l30, box24.value >= placeholder[Long](21), l29 == l30 + l27 * l12, box24.R4[Coll[Byte]].isDefined, coll31(\n            placeholder[Int](22)\n          ) == l16, coll31(placeholder[Int](23)) == l17, coll31(placeholder[Int](24)) == l2, coll31(placeholder[Int](25)) == l12\n        )\n      )\n    )\n  )} else { if (l18 >= l14) {(\n      val box22 = CONTEXT.dataInputs(placeholder[Int](26))\n      val coll23 = box3.tokens\n      val coll24 = SELF.tokens\n      val tuple25 = coll23(placeholder[Int](27))\n      val tuple26 = coll24(placeholder[Int](28))\n      val l27 = l18 * l8 / placeholder[Long](29)\n      val l28 = l18 * l10 / placeholder[Long](30)\n      val box29 = OUTPUTS(placeholder[Int](31))\n      val box30 = OUTPUTS(placeholder[Int](32))\n      sigmaProp(allOf(Coll[Boolean](blake2b256(box3.propositionBytes) == placeholder[Coll[Byte]](33), l7 == l8, l9 == l10, l11 == l12, l13 == l14, l15 == l2, l17 == l16, box3.R5[Coll[Byte]].get == coll19, box3.R6[Coll[Coll[Byte]]].get == SELF.R6[Coll[Coll[Byte]]].get, box3.R7[Coll[Byte]].get == coll20, box3.R8[Long].get.toBigInt == byteArrayToBigInt(box22.id.slice(placeholder[Int](34), placeholder[Int](35))) % bi21 + bi21 % bi21, coll23(placeholder[Int](36))._1 == coll24(placeholder[Int](37))._1, tuple25._1 == tuple26._1, tuple25._2 == tuple26._2, box3.value == l18 - l27 - l28 + placeholder[Long](38), box29.propositionBytes == coll19, box29.value == l27, box30.propositionBytes == coll20, box30.value == l28, box22.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40), box22.creationInfo._1.toLong > l2)))\n    )} else {(\n      val coll22 = box3.tokens\n      val coll23 = SELF.tokens\n      val tuple24 = coll22(placeholder[Int](41))\n      val tuple25 = coll23(placeholder[Int](42))\n      sigmaProp(allOf(Coll[Boolean](blake2b256(box3.propositionBytes) == placeholder[Coll[Byte]](43), l7 == l8, l9 == l10, l11 == l12, l13 == l14, l15 == l2, l17 == l16, box3.R5[Coll[Byte]] == opt4, box3.R6[Coll[Coll[Byte]]].get == SELF.R6[Coll[Coll[Byte]]].get, box3.R7[Coll[Byte]] == opt5, coll22(placeholder[Int](44))._1 == coll23(placeholder[Int](45))._1, tuple24._1 == tuple25._1, tuple24._2 == tuple25._2, box3.value == SELF.value - placeholder[Long](46))))\n    )} }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "0ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b1",
          "index": 0,
          "amount": 1,
          "name": "ErgoRaffle Token",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "1a729fbada37abf72437f469e3237fa659a3e6a9e29dbdbf9c6236a3613fd1c6",
          "index": 1,
          "amount": 999999798,
          "name": "Raffle_token: Raising for computer based learning of children in Chechen school",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "11065a0a8094ebdc0380a0b787e9058ec1489403",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[45,5,500000000,100000000000,593991,202]"
        },
        "R5": {
          "serializedValue": "0e240008cd02c5bb74fb97fec1cb47414d48baef51c62226d5dc610068defe0cf42e55101b63",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02c5bb74fb97fec1cb47414d48baef51c62226d5dc610068defe0cf42e55101b63"
        },
        "R6": {
          "serializedValue": "1a034152616973696e6720666f7220636f6d7075746572206261736564206c6561726e696e67206f66206368696c6472656e20696e204368656368656e207363686f6f6c88064d79206e616d652069732044756e6775726f766120556d61726f766e612c206920616d20746865207072696e6369706c65206f6620746865207072696d6172792067656e6572616c20656475636174696f6e207363686f6f6c20696e205365726e6f766f64736b20696e204368656368656e2052657075626c696320696e205275737369612e0a492077616e7420746f2067697665206f7572206b69647320616e206f70706f7274756e69747920746f2067657420696e746f20636f6d707574657273206173207468657920617265207374696c6c20796f756e672e20596f75206b6e6f7720697420697320696d706f7274616e7420746f2077616b652075702074686520696e746572657374206f66206b696473206173206561726c7920617320706f737369626c652c206265666f7265207468657920676574206c6f737420666f72207468696e6773207468617420646f6e742067697665207468656d20616e7920706572737065637469766573200a492077616e7420746f20627579206120706572736f6e616c20636f6d707574657220666f7220657665727920636c6173732c20736f20746865206368696c6472656e2063616e20737461727420616e20656475636174696f6e206f6e20636f6d7075746572732e20576520616c726561647920676f7420736f6d65206d6f6e65792066726f6d2074686520706172656e74732062757420697420697320666172206e6f7420656e6f75676820666f72207468652070726f6a6563742e200a416c6d6f73742037302030303020727562656c207765726520636f6c6c6563746564206f76657220746865206c6173742033206d6f6e7468732e2054686174206973206e6561726c792031303030202420616e642077652061696d696e6720746f20747269706c65207468617420616d6f756e742e20536f206576657279206f6620746865203320636c61737365732063616e206166666f726420746f2068617665206120676f6f64206d6f6465726e20504320776974682065616368206f6e65207072696e74657220616e64207363616e6e65722e200a201a729fbada37abf72437f469e3237fa659a3e6a9e29dbdbf9c6236a3613fd1c6",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[52616973696e6720666f7220636f6d7075746572206261736564206c6561726e696e67206f66206368696c6472656e20696e204368656368656e207363686f6f6c,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,1a729fbada37abf72437f469e3237fa659a3e6a9e29dbdbf9c6236a3613fd1c6]"
        },
        "R7": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        }
      }
    },
    {
      "boxId": "f59c31ab9731050447092244298783837c3369db3d6f650a04f3cf89e0c4ce82",
      "value": 503000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "fa3cf3f667d1794cfcaad9df027d83722068a48f93446769f67a9ef84cf30165",
      "outputTransactionId": "bfb10d6f45414e1e30780c4009dcdaa152015764d167d34b26af99e7158b2f79",
      "outputIndex": 0,
      "outputGlobalIndex": 8008500,
      "outputCreatedAt": 591255,
      "outputSettledAt": 591261,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 2\n1: 1\n2: Coll(0,8,-51,3,124,-9,-7,107,23,-117,-50,-128,-108,-99,41,41,49,90,-47,-18,87,86,-68,-86,126,106,-8,8,-52,54,95,125,-74,63,-2,71)\n3: 0\n4: 1\n5: Coll(26,114,-97,-70,-38,55,-85,-9,36,55,-12,105,-29,35,127,-90,89,-93,-26,-87,-30,-99,-67,-65,-100,98,54,-93,97,63,-47,-58)\n6: 0\n7: 1\n8: 0\n9: 0\n10: 1500000\n11: Coll(0,8,-51,3,124,-9,-7,107,23,-117,-50,-128,-108,-99,41,41,49,90,-47,-18,87,86,-68,-86,126,106,-8,8,-52,54,95,125,-74,63,-2,71)\n12: 503000000\n13: 593991\n14: 2",
      "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    val box2 = OUTPUTS(placeholder[Int](8))\n    val l3 = INPUTS.fold(placeholder[Long](9), {(tuple3: (Long, Box)) => tuple3._1 + tuple3._2.value })\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          box2.value >= l3 - placeholder[Long](10), box2.propositionBytes == placeholder[Coll[Byte]](11), (l3 < placeholder[Long](12)) || (\n            HEIGHT.toLong > placeholder[Long](13)\n          ), i1 == placeholder[Int](14)\n        )\n      )\n    )\n  )}\n}",
      "address": "FajX9T7xgyUvG9hqKU4JfQKiMm32UPMC5yEtRipRX9dLcNPRLUmZ1nqCgTdn7Gg6uxuvrNYXve8Wt88LvEvAhGSeNhah3bndKJmbzF34a6WnqCkWzUn4kNrmPeWL4grmFPDTYj91XF1GWPXiNqowaHrCGe2zwTo6Y9sHxfZoq3fQC4HmUCuU5MWY1AqnniyBcEJB3uwNZM8YuXxgf6BhEr79HGVxshrK6pp6GBPH5SfngNL8ropYDmfhhhBoJdsciFPrAeG8ACn75PUns9yi37s1Ro4hqkossxvJa59Ld1qT23MkGTHhPum1fqTkv2evVeanSBsGzCNWqNSZR118EPLuY1NpwJ5uxC2bYVHPbjyauMqEgE7Sp47EfxgaPUu",
      "assets": [],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "e554d740bd7cfe8b1c833b2d590c4102e0609d2cc0b53311e8287c2df272030d",
      "transactionId": "d411757d249a50d2bd9aaa22eb037990ddc4771087afd24df7e23fdb2a47e30f",
      "blockId": "0b80452d7033250f604a283036abeb467c12b95d4f18d5fb81edac7ccb849772",
      "value": 101503000000,
      "index": 0,
      "globalIndex": 8008560,
      "creationHeight": 591262,
      "settlementHeight": 591264,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 4\n1: 0\n2: 0\n3: 0\n4: 1\n5: 1\n6: 2\n7: 2\n8: 3\n9: 3\n10: 4\n11: 5\n12: 5\n13: 1\n14: 0\n15: 1\n16: 0\n17: 0\n18: Coll(120,113,-116,55,59,66,27,-121,14,-60,-71,-37,-57,-72,30,-79,-97,112,-32,-124,-123,-2,98,-62,89,49,42,-47,-34,-113,85,9)\n19: 1\n20: 1\n21: 1500000\n22: 0\n23: 1\n24: 2\n25: 3\n26: 0\n27: 1\n28: 1\n29: 100\n30: 100\n31: 1\n32: 2\n33: Coll(20,107,87,-80,71,-3,59,-69,86,-120,122,-84,113,-70,-113,-40,-12,-49,-42,42,15,-122,125,81,-66,-106,53,2,27,-100,-43,-81)\n34: 0\n35: 15\n36: 0\n37: 0\n38: 1500000\n39: 0\n40: 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)\n41: 1\n42: 1\n43: Coll(-9,-13,-8,36,27,-73,117,-67,81,4,43,-67,-49,54,-64,-72,-22,31,-14,59,-24,123,-17,-58,-73,103,4,-71,40,-85,-86,53)\n44: 0\n45: 0\n46: 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 opt4 = SELF.R5[Coll[Byte]]\n  val opt5 = SELF.R7[Coll[Byte]]\n  val coll6 = box3.R4[Coll[Long]].get\n  val l7 = coll6(placeholder[Int](2))\n  val l8 = coll1(placeholder[Int](3))\n  val l9 = coll6(placeholder[Int](4))\n  val l10 = coll1(placeholder[Int](5))\n  val l11 = coll6(placeholder[Int](6))\n  val l12 = coll1(placeholder[Int](7))\n  val l13 = coll6(placeholder[Int](8))\n  val l14 = coll1(placeholder[Int](9))\n  val l15 = coll6(placeholder[Int](10))\n  val l16 = coll1(placeholder[Int](11))\n  val l17 = coll6(placeholder[Int](12))\n  val l18 = l16 * l12\n  val coll19 = opt4.get\n  val coll20 = opt5.get\n  val bi21 = l16.toBigInt\n  if (HEIGHT.toLong < l2) {(\n    val coll22 = box3.tokens\n    val coll23 = SELF.tokens\n    val box24 = OUTPUTS(placeholder[Int](13))\n    val coll25 = box24.tokens\n    val tuple26 = coll25(placeholder[Int](14))\n    val l27 = tuple26._2\n    val tuple28 = coll23(placeholder[Int](15))\n    val l29 = box3.value\n    val l30 = SELF.value\n    val coll31 = box24.R5[Coll[Long]].get\n    sigmaProp(\n      allOf(\n        Coll[Boolean](\n          coll22(placeholder[Int](16))._1 == coll23(placeholder[Int](17))._1, box3.propositionBytes == SELF.propositionBytes, box3.R5[\n            Coll[Byte]\n          ] == opt4, box3.R6[Coll[Coll[Byte]]] == SELF.R6[Coll[Coll[Byte]]], box3.R7[\n            Coll[Byte]\n          ] == opt5, l7 == l8, l9 == l10, l11 == l12, l13 == l14, l15 == l2, l17 == l16 + l27, blake2b256(box24.propositionBytes) == placeholder[Coll[Byte]](\n            18\n          ), coll25.size == placeholder[Int](19), tuple26._1 == tuple28._1, tuple28._2 == coll22(\n            placeholder[Int](20)\n          )._2 + l27, l29 > l30, box24.value >= placeholder[Long](21), l29 == l30 + l27 * l12, box24.R4[Coll[Byte]].isDefined, coll31(\n            placeholder[Int](22)\n          ) == l16, coll31(placeholder[Int](23)) == l17, coll31(placeholder[Int](24)) == l2, coll31(placeholder[Int](25)) == l12\n        )\n      )\n    )\n  )} else { if (l18 >= l14) {(\n      val box22 = CONTEXT.dataInputs(placeholder[Int](26))\n      val coll23 = box3.tokens\n      val coll24 = SELF.tokens\n      val tuple25 = coll23(placeholder[Int](27))\n      val tuple26 = coll24(placeholder[Int](28))\n      val l27 = l18 * l8 / placeholder[Long](29)\n      val l28 = l18 * l10 / placeholder[Long](30)\n      val box29 = OUTPUTS(placeholder[Int](31))\n      val box30 = OUTPUTS(placeholder[Int](32))\n      sigmaProp(allOf(Coll[Boolean](blake2b256(box3.propositionBytes) == placeholder[Coll[Byte]](33), l7 == l8, l9 == l10, l11 == l12, l13 == l14, l15 == l2, l17 == l16, box3.R5[Coll[Byte]].get == coll19, box3.R6[Coll[Coll[Byte]]].get == SELF.R6[Coll[Coll[Byte]]].get, box3.R7[Coll[Byte]].get == coll20, box3.R8[Long].get.toBigInt == byteArrayToBigInt(box22.id.slice(placeholder[Int](34), placeholder[Int](35))) % bi21 + bi21 % bi21, coll23(placeholder[Int](36))._1 == coll24(placeholder[Int](37))._1, tuple25._1 == tuple26._1, tuple25._2 == tuple26._2, box3.value == l18 - l27 - l28 + placeholder[Long](38), box29.propositionBytes == coll19, box29.value == l27, box30.propositionBytes == coll20, box30.value == l28, box22.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40), box22.creationInfo._1.toLong > l2)))\n    )} else {(\n      val coll22 = box3.tokens\n      val coll23 = SELF.tokens\n      val tuple24 = coll22(placeholder[Int](41))\n      val tuple25 = coll23(placeholder[Int](42))\n      sigmaProp(allOf(Coll[Boolean](blake2b256(box3.propositionBytes) == placeholder[Coll[Byte]](43), l7 == l8, l9 == l10, l11 == l12, l13 == l14, l15 == l2, l17 == l16, box3.R5[Coll[Byte]] == opt4, box3.R6[Coll[Coll[Byte]]].get == SELF.R6[Coll[Coll[Byte]]].get, box3.R7[Coll[Byte]] == opt5, coll22(placeholder[Int](44))._1 == coll23(placeholder[Int](45))._1, tuple24._1 == tuple25._1, tuple24._2 == tuple25._2, box3.value == SELF.value - placeholder[Long](46))))\n    )} }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "0ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b1",
          "index": 0,
          "amount": 1,
          "name": "ErgoRaffle Token",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "1a729fbada37abf72437f469e3237fa659a3e6a9e29dbdbf9c6236a3613fd1c6",
          "index": 1,
          "amount": 999999797,
          "name": "Raffle_token: Raising for computer based learning of children in Chechen school",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "11065a0a8094ebdc0380a0b787e9058ec1489603",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[45,5,500000000,100000000000,593991,203]"
        },
        "R5": {
          "serializedValue": "0e240008cd02c5bb74fb97fec1cb47414d48baef51c62226d5dc610068defe0cf42e55101b63",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd02c5bb74fb97fec1cb47414d48baef51c62226d5dc610068defe0cf42e55101b63"
        },
        "R6": {
          "serializedValue": "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",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[52616973696e6720666f7220636f6d7075746572206261736564206c6561726e696e67206f66206368696c6472656e20696e204368656368656e207363686f6f6c,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,1a729fbada37abf72437f469e3237fa659a3e6a9e29dbdbf9c6236a3613fd1c6]"
        },
        "R7": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        }
      },
      "spentTransactionId": "414f5a52fb7d6bd7699267fae1c701119400ce45604d4c16ff9d5a242858bcd8",
      "mainChain": true
    },
    {
      "boxId": "32c8ca58cfd3e31ff3c3c84f491bca45974c047ade3ef2045a933fe3cb369ca4",
      "transactionId": "d411757d249a50d2bd9aaa22eb037990ddc4771087afd24df7e23fdb2a47e30f",
      "blockId": "0b80452d7033250f604a283036abeb467c12b95d4f18d5fb81edac7ccb849772",
      "value": 1500000,
      "index": 1,
      "globalIndex": 8008561,
      "creationHeight": 591262,
      "settlementHeight": 591264,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 2\n1: false\n2: 3\n3: 1\n4: 1\n5: 2\n6: 0\n7: Coll(14,-42,103,127,100,93,-76,-42,-30,-102,-89,118,-3,-8,67,55,106,-29,-49,65,-14,18,4,28,99,4,30,92,61,88,-77,-79)\n8: 1\n9: 0\n10: 0\n11: 0\n12: 1\n13: 1\n14: 0\n15: Coll(14,-42,103,127,100,93,-76,-42,-30,-102,-89,118,-3,-8,67,55,106,-29,-49,65,-14,18,4,28,99,4,30,92,61,88,-77,-79)\n16: 1\n17: 2\n18: 3",
      "ergoTreeScript": "{\n  val coll1 = SELF.R5[Coll[Long]].get\n  if (HEIGHT.toLong < coll1(placeholder[Int](0))) { sigmaProp(placeholder[Boolean](1)) } else {(\n    val i2 = INPUTS.size\n    if (i2 == placeholder[Int](2)) {(\n      val box3 = OUTPUTS(placeholder[Int](3))\n      val box4 = INPUTS(placeholder[Int](4))\n      val coll5 = box4.tokens\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            box3.value == box4.value, box3.propositionBytes == SELF.R4[Coll[Byte]].get, INPUTS(placeholder[Int](5)).id == SELF.id, coll5(\n              placeholder[Int](6)\n            )._1 == placeholder[Coll[Byte]](7), coll5(placeholder[Int](8))._1 == SELF.tokens(placeholder[Int](9))._1\n          )\n        )\n      )\n    )} else {(\n      val coll3 = INPUTS(placeholder[Int](10)).tokens\n      val tuple4 = SELF.tokens(placeholder[Int](11))\n      val box5 = OUTPUTS(placeholder[Int](12))\n      sigmaProp(\n        allOf(\n          Coll[Boolean](\n            coll3(placeholder[Int](13))._1 == tuple4._1, coll3(placeholder[Int](14))._1 == placeholder[Coll[Byte]](15), INPUTS(\n              placeholder[Int](16)\n            ).id == SELF.id, i2 == placeholder[Int](17), box5.propositionBytes == SELF.R4[Coll[Byte]].get, box5.value == coll1(placeholder[Int](18)) * tuple4._2\n          )\n        )\n      )\n    )}\n  )}\n}",
      "address": "25JUUNN6TMw7uauYMN7gUptDyHb8ppPMefMspbXVMWVc6izLZgxnkkqEqqYoTK4K4rdd4y4VbxLVXy4b4uP5ejJGrWbSHdfDQe86BV1z9TjYNAHJbq5HtK6KRh6s8EhT6bmvX5GtHj87rsLPNcBMubkEuQnMKtNAHnYnEzTTeJKR2KJZMXstrCpzc1cQ8DETi1dGbrVxpnsev2g5a1f4ywyRDjH9HzEHQrCymWcCbmG4LyC7Auvx2RPJLVEnxzsotrZGAwBHXrseAR5RmwAdihbHZnt1z7dU3hxNYU4vQndBJXYvojXgaJyn3cVEdA9RYCXtVNYZWYDcbokV7Dd9mUGsq5HSgEMf8vkGHhj2BbQ67dGg2ohv1cp6uJGRneqJGfSjLqbjZvS2vMvM3tG82zbhk5Geaxub7wEyZnAjyERHKSmCbsvvBatVY",
      "assets": [
        {
          "tokenId": "1a729fbada37abf72437f469e3237fa659a3e6a9e29dbdbf9c6236a3613fd1c6",
          "index": 0,
          "amount": 1,
          "name": "Raffle_token: Raising for computer based learning of children in Chechen school",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd037cf7f96b178bce80949d2929315ad1ee5756bcaa7e6af808cc365f7db63ffe47",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd037cf7f96b178bce80949d2929315ad1ee5756bcaa7e6af808cc365f7db63ffe47"
        },
        "R5": {
          "serializedValue": "1104940396038ec1488094ebdc03",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[202,203,593991,500000000]"
        }
      },
      "spentTransactionId": "b7a29147e1b4ad7583deec3c2fb97f8183202bd7c9ea8af90bcbeb3dbd89587c",
      "mainChain": true
    },
    {
      "boxId": "fdd8561307c9f5e33e27901e317613a6013ffaad1c547b105e09301beb437300",
      "transactionId": "d411757d249a50d2bd9aaa22eb037990ddc4771087afd24df7e23fdb2a47e30f",
      "blockId": "0b80452d7033250f604a283036abeb467c12b95d4f18d5fb81edac7ccb849772",
      "value": 1500000,
      "index": 2,
      "globalIndex": 8008562,
      "creationHeight": 591262,
      "settlementHeight": 591264,
      "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": "3cf19b75d4508a884370c3672be5236cb4425ba441154b9dfa414355bca9f295",
      "mainChain": true
    }
  ],
  "size": 2700,
  "isUnconfirmed": false
}