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Inputs (3)
Output transaction:
Settlement height:
Value:
0.0015 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
14.1 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.0015 ERG
Tokens:
Loading assets...
Outputs (3)
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
14.1 ERG
Spent in transaction:
Settlement height:
Value:
0.0015 ERG
Transaction Details
Status: Confirmed
Size: 1.06 KB
Received time: 11/1/2021 03:17:17 PM
Included in blocks: 610,691
Confirmations: 1,157,181
Total coins transferred: 14.1 ERG
Fees: 0.0015 ERG
Fees per byte: 0.00000138 ERG
Raw Transaction Data
{
  "id": "1c82ffc91047bcd0050453ea5444cdd67d01787b6f6c6f4233eeb9c8937d1aa5",
  "blockId": "b9384db597ca5560544d477630e9b6d1205971b4aad4b3127fbb4a3439618927",
  "inclusionHeight": 610691,
  "timestamp": 1635779837714,
  "index": 6,
  "globalIndex": 2050705,
  "numConfirmations": 1157181,
  "inputs": [
    {
      "boxId": "1b380fef0ee650b8ed5fdef127f9f26a269fbf246fe95856cd9ef135c14faed0",
      "value": 1500000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "319327ba84156071b0f9ad339e80332024e77f732e8384943438014aa7d2c233",
      "outputTransactionId": "12c3e65e326c42cfb8e46eda8387680e4c1f911c7cf073ee38639eb6aba7c8a3",
      "outputIndex": 0,
      "outputGlobalIndex": 9061325,
      "outputCreatedAt": 609248,
      "outputSettledAt": 609250,
      "ergoTree": "10220400040204020e200ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b108cd037a0d1faee4f33c9447fc1d1c796575dbf657ff70b923fafd14d02437664ecfbe050204000e2000ee077854471a04fbef18a5a971b50fb39f52fc6f6b3b8d0682ce2c48f6ebef0e200ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b1040a0408040001000402040204000404040a040804000e2000ee077854471a04fbef18a5a971b50fb39f52fc6f6b3b8d0682ce2c48f6ebef05020e2064f96b02b482320c6d5d1b21083101cf8876876808f637832905664a68e3e079040c050005c801040a0500040404000e20a0f21e473d24ab415fff1d18ab931b5eb89b7c81e4fcde3111c0ef14b657fdab040004060400d807d601b2a5730000d602db63087201d603b27202730100d6048c720302d6058cb2db6308a773020002d6068c720301d60773039593720472057304959372049a72057305d19683060193e4c67201050ee4c6a7050e93e4c672010405e4c6a7040593c27201c2a7938cb27202730600017307937206730892c17201c1a7d801d608b1a595ed937208730991b1db6308b2a5730a00730bd1730cd808d609e4c6a70405d60ae4c6a7050ed60bb2a5730d00d60ce4c6720b0411d60db2720c730e00d60eb2720c730f00d60fc5a7d610b2a5731000d1968317019072087311927208731293c27201c2a7938cb27202731300017314937206720792c17201c1a7937204997205731593e4c672010405720993e4c67201050e720a93cbc2720b731693b1720c731793720d720991720e73188f9a720e720d731993b2720c731a00731be6c6720b050e92b1e4c6720b061a731c93e4c6720b070e720a93e4c6720b080e720f938cb2db6308720b731d0001720793cbc27210731e938cb2db63087210731f0001720f93b1db6308b2a57320007321",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 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)\n4: SigmaProp(ProveDlog(ECPoint(7a0d1f,2990ea,...)))\n5: 1\n6: 0\n7: Coll(0,-18,7,120,84,71,26,4,-5,-17,24,-91,-87,113,-75,15,-77,-97,82,-4,111,107,59,-115,6,-126,-50,44,72,-10,-21,-17)\n8: 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)\n9: 5\n10: 4\n11: 0\n12: false\n13: 1\n14: 1\n15: 0\n16: 2\n17: 5\n18: 4\n19: 0\n20: Coll(0,-18,7,120,84,71,26,4,-5,-17,24,-91,-87,113,-75,15,-77,-97,82,-4,111,107,59,-115,6,-126,-50,44,72,-10,-21,-17)\n21: 1\n22: Coll(100,-7,107,2,-76,-126,50,12,109,93,27,33,8,49,1,-49,-120,118,-121,104,8,-10,55,-125,41,5,102,74,104,-29,-32,121)\n23: 6\n24: 0\n25: 100\n26: 5\n27: 0\n28: 2\n29: 0\n30: Coll(-96,-14,30,71,61,36,-85,65,95,-1,29,24,-85,-109,27,94,-72,-101,124,-127,-28,-4,-34,49,17,-64,-17,20,-74,87,-3,-85)\n31: 0\n32: 3\n33: 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), i8 >= placeholder[Int](18), box1.propositionBytes == SELF.propositionBytes, coll2(\n                placeholder[Int](19)\n              )._1 == placeholder[Coll[Byte]](20), coll6 == coll7, box1.value >= SELF.value, l4 == l5 - placeholder[Long](21), box1.R4[Long].get == l9, box1.R5[\n                Coll[Byte]\n              ].get == coll10, blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](22), coll12.size == placeholder[Int](\n                23\n              ), l13 == l9, l14 > placeholder[Long](24), l14 + l13 < placeholder[Long](25), coll12(placeholder[Int](26)) == placeholder[Long](27), box11.R5[\n                Coll[Byte]\n              ].isDefined, box11.R6[Coll[Coll[Byte]]].get.size >= placeholder[Int](28), box11.R7[Coll[Byte]].get == coll10, box11.R8[\n                Coll[Byte]\n              ].get == coll15, box11.tokens(placeholder[Int](29))._1 == coll7, blake2b256(box16.propositionBytes) == placeholder[Coll[Byte]](30), box16.tokens(\n                placeholder[Int](31)\n              )._1 == coll15, OUTPUTS(placeholder[Int](32)).tokens.size == placeholder[Int](33)\n            )\n          )\n        )\n      )}\n    )}\n  }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "00ee077854471a04fbef18a5a971b50fb39f52fc6f6b3b8d0682ce2c48f6ebef",
          "index": 0,
          "amount": 1,
          "name": "ErgoRaffle NFT",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b1",
          "index": 1,
          "amount": 1000000000000000000,
          "name": "ErgoRaffle Token",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "050a",
          "sigmaType": "SLong",
          "renderedValue": "5"
        },
        "R5": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        }
      }
    },
    {
      "boxId": "7012ca5b4d98c9820feab3878427b16291c95a34ec7eb282146a194188aae31a",
      "value": 14101500000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "b9384db597ca5560544d477630e9b6d1205971b4aad4b3127fbb4a3439618927",
      "outputTransactionId": "636ffd4f133d381cc82031e3324cb509974682cfe01a5cecb01051a09cf26501",
      "outputIndex": 0,
      "outputGlobalIndex": 9157301,
      "outputCreatedAt": 610688,
      "outputSettledAt": 610691,
      "ergoTree": "100e04000402040404000e2000ee077854471a04fbef18a5a971b50fb39f52fc6f6b3b8d0682ce2c48f6ebef0e200ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b104000400040204020400040204000402d806d601db6308b2a5730000d602b27201730100d603db6308a7d604b2a4730200d605e4c672040511d606e4c6a70805d196830701938cb27201730300017304938c7202017305938c7202029a8cb27203730600028cb2db6308b2a47307007308000293c5b2a4730900c5a7938cb2db63087204730a00018cb27203730b000190b27205730c00720691b27205730d007206",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 2\n3: 0\n4: Coll(0,-18,7,120,84,71,26,4,-5,-17,24,-91,-87,113,-75,15,-77,-97,82,-4,111,107,59,-115,6,-126,-50,44,72,-10,-21,-17)\n5: 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)\n6: 0\n7: 0\n8: 1\n9: 1\n10: 0\n11: 1\n12: 0\n13: 1",
      "ergoTreeScript": "{\n  val coll1 = OUTPUTS(placeholder[Int](0)).tokens\n  val tuple2 = coll1(placeholder[Int](1))\n  val coll3 = SELF.tokens\n  val box4 = INPUTS(placeholder[Int](2))\n  val coll5 = box4.R5[Coll[Long]].get\n  val l6 = SELF.R8[Long].get\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        coll1(placeholder[Int](3))._1 == placeholder[Coll[Byte]](4), tuple2._1 == placeholder[Coll[Byte]](5), tuple2._2 == coll3(\n          placeholder[Int](6)\n        )._2 + INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._2, INPUTS(placeholder[Int](9)).id == SELF.id, box4.tokens(\n          placeholder[Int](10)\n        )._1 == coll3(placeholder[Int](11))._1, coll5(placeholder[Int](12)) <= l6, coll5(placeholder[Int](13)) > l6\n      )\n    )\n  )\n}",
      "address": "8W5MCEQtrhp28TSQNzbhucjpdjcAAsc5ynuSY2NUVRrTLSghT41qSoRraeZNMPPhSeft7MwzBHUYoWVWVVw92wP3acMzj93LgaKVcMLPZGzsEBHDpLaSXjzfh2UXNMCngLS7mz42mNjANFNoAq8QBYTrUm16NYKGVeB6jwnFcc8jZcV6jPDuVRDSntHdHkkzc2QxF5WJEBRdj1Cd7ykJjj5rBhk6F19noyg5nXYfCpzmnStfqZAK7gsMwrAjz1nKFuJerW5kR62Gi528jLmyYrBGpMNmx5R3xxsPSkQ3wFsQNEs1a7BYdW5akZA1eRv42BbWBJJuZ1CDF8",
      "assets": [
        {
          "tokenId": "0ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b1",
          "index": 0,
          "amount": 1,
          "name": "ErgoRaffle Token",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "a407e571634742e9eb00436077f412d5ee7b055905f2491124ba5748e0482637",
          "index": 1,
          "amount": 999999970,
          "name": "Raffle_token: ERGO RAFFLE SPANISH TELEGRAM GROUP",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "0e240008cd0376a899c02077646868c0971bfa65c6c4e6bd3e92325688c21bb77369b32d51c7",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd0376a899c02077646868c0971bfa65c6c4e6bd3e92325688c21bb77369b32d51c7"
        },
        "R6": {
          "serializedValue": "1a03224552474f20524146464c45205350414e4953482054454c454752414d2047524f55501f726966612064656c20677275706f2065737061c3b16f6c206465206572676f20a407e571634742e9eb00436077f412d5ee7b055905f2491124ba5748e0482637",
          "sigmaType": "Coll[Coll[SByte]]",
          "renderedValue": "[4552474f20524146464c45205350414e4953482054454c454752414d2047524f5550,726966612064656c20677275706f2065737061c3b16f6c206465206572676f,a407e571634742e9eb00436077f412d5ee7b055905f2491124ba5748e0482637]"
        },
        "R8": {
          "serializedValue": "0522",
          "sigmaType": "SLong",
          "renderedValue": "17"
        },
        "R7": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        },
        "R4": {
          "serializedValue": "1106020a8094ebdc0380d88ee16ff8c54a3c",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1,5,500000000,15000000000,610684,30]"
        }
      }
    },
    {
      "boxId": "e85def39aad69be0fc3194784fbeb16870742a6d388b83496cf47097feca92df",
      "value": 1500000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "f756be88681a849ebd142a57525230acfed1c782147d452ee5379d2f9dc0db51",
      "outputTransactionId": "c6f1bece340db76197a259d2e1fbb36e5f4d0cfaf3d1892c694d9676efe60c31",
      "outputIndex": 1,
      "outputGlobalIndex": 9156532,
      "outputCreatedAt": 610678,
      "outputSettledAt": 610680,
      "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": "a407e571634742e9eb00436077f412d5ee7b055905f2491124ba5748e0482637",
          "index": 0,
          "amount": 21,
          "name": "Raffle_token: ERGO RAFFLE SPANISH TELEGRAM GROUP",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd035220b981719d74b987fa85b16e770f3a527b8b21f69b8abd80cd59b9bdec8dc1",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd035220b981719d74b987fa85b16e770f3a527b8b21f69b8abd80cd59b9bdec8dc1"
        },
        "R5": {
          "serializedValue": "1104123cf8c54a8094ebdc03",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[9,30,610684,500000000]"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "016237b71ad44a9bd0532aa065c308a85e9a9f8d608402d3a3bf35fc25a72fa8",
      "transactionId": "1c82ffc91047bcd0050453ea5444cdd67d01787b6f6c6f4233eeb9c8937d1aa5",
      "blockId": "b9384db597ca5560544d477630e9b6d1205971b4aad4b3127fbb4a3439618927",
      "value": 1500000,
      "index": 0,
      "globalIndex": 9157308,
      "creationHeight": 610688,
      "settlementHeight": 610691,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: 1\n3: 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)\n4: SigmaProp(ProveDlog(ECPoint(7a0d1f,2990ea,...)))\n5: 1\n6: 0\n7: Coll(0,-18,7,120,84,71,26,4,-5,-17,24,-91,-87,113,-75,15,-77,-97,82,-4,111,107,59,-115,6,-126,-50,44,72,-10,-21,-17)\n8: 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)\n9: 5\n10: 4\n11: 0\n12: false\n13: 1\n14: 1\n15: 0\n16: 2\n17: 5\n18: 4\n19: 0\n20: Coll(0,-18,7,120,84,71,26,4,-5,-17,24,-91,-87,113,-75,15,-77,-97,82,-4,111,107,59,-115,6,-126,-50,44,72,-10,-21,-17)\n21: 1\n22: Coll(100,-7,107,2,-76,-126,50,12,109,93,27,33,8,49,1,-49,-120,118,-121,104,8,-10,55,-125,41,5,102,74,104,-29,-32,121)\n23: 6\n24: 0\n25: 100\n26: 5\n27: 0\n28: 2\n29: 0\n30: Coll(-96,-14,30,71,61,36,-85,65,95,-1,29,24,-85,-109,27,94,-72,-101,124,-127,-28,-4,-34,49,17,-64,-17,20,-74,87,-3,-85)\n31: 0\n32: 3\n33: 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), i8 >= placeholder[Int](18), box1.propositionBytes == SELF.propositionBytes, coll2(\n                placeholder[Int](19)\n              )._1 == placeholder[Coll[Byte]](20), coll6 == coll7, box1.value >= SELF.value, l4 == l5 - placeholder[Long](21), box1.R4[Long].get == l9, box1.R5[\n                Coll[Byte]\n              ].get == coll10, blake2b256(box11.propositionBytes) == placeholder[Coll[Byte]](22), coll12.size == placeholder[Int](\n                23\n              ), l13 == l9, l14 > placeholder[Long](24), l14 + l13 < placeholder[Long](25), coll12(placeholder[Int](26)) == placeholder[Long](27), box11.R5[\n                Coll[Byte]\n              ].isDefined, box11.R6[Coll[Coll[Byte]]].get.size >= placeholder[Int](28), box11.R7[Coll[Byte]].get == coll10, box11.R8[\n                Coll[Byte]\n              ].get == coll15, box11.tokens(placeholder[Int](29))._1 == coll7, blake2b256(box16.propositionBytes) == placeholder[Coll[Byte]](30), box16.tokens(\n                placeholder[Int](31)\n              )._1 == coll15, OUTPUTS(placeholder[Int](32)).tokens.size == placeholder[Int](33)\n            )\n          )\n        )\n      )}\n    )}\n  }\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "00ee077854471a04fbef18a5a971b50fb39f52fc6f6b3b8d0682ce2c48f6ebef",
          "index": 0,
          "amount": 1,
          "name": "ErgoRaffle NFT",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0ed6677f645db4d6e29aa776fdf843376ae3cf41f212041c63041e5c3d58b3b1",
          "index": 1,
          "amount": 1000000000000000000,
          "name": "ErgoRaffle Token",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "050a",
          "sigmaType": "SLong",
          "renderedValue": "5"
        },
        "R5": {
          "serializedValue": "0e240008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd03cb3b45952266407f386a0cec89f8d5b001d5116f6d0f4fc4897e15c29af59f52"
        }
      },
      "spentTransactionId": "6bb34487e9efb7e36e3472c8302cdeb863405e0d69f0e77ab42436d431953d31",
      "mainChain": true
    },
    {
      "boxId": "d9c88f055d9840c896e4462c05584ebac898b5f2183f27082bfe58082771f0ce",
      "transactionId": "1c82ffc91047bcd0050453ea5444cdd67d01787b6f6c6f4233eeb9c8937d1aa5",
      "blockId": "b9384db597ca5560544d477630e9b6d1205971b4aad4b3127fbb4a3439618927",
      "value": 14101500000,
      "index": 1,
      "globalIndex": 9157309,
      "creationHeight": 610688,
      "settlementHeight": 610691,
      "ergoTree": "0008cd035220b981719d74b987fa85b16e770f3a527b8b21f69b8abd80cd59b9bdec8dc1",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(5220b9,94e10d,...)))}",
      "address": "9h5yY5WxZEcAM4QGoXFLpawsTq9nHMe9TVw5cq4hkmKandjUzEi",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "f71c435e1bf475218fbf5c9b4717721a0ceb3e18aa7bca271f5d4b8b742c5b72",
      "mainChain": true
    },
    {
      "boxId": "3b47d07f100465138d609eb5e82b797dd7be521d0f689fd0559f13d356a0dc29",
      "transactionId": "1c82ffc91047bcd0050453ea5444cdd67d01787b6f6c6f4233eeb9c8937d1aa5",
      "blockId": "b9384db597ca5560544d477630e9b6d1205971b4aad4b3127fbb4a3439618927",
      "value": 1500000,
      "index": 2,
      "globalIndex": 9157310,
      "creationHeight": 610688,
      "settlementHeight": 610691,
      "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": "baafad421365e111cc0761c7556eb8fdfa212cd38fc7653c23014d4067337dc8",
      "mainChain": true
    }
  ],
  "size": 1087,
  "isUnconfirmed": false
}