Ad
Inputs (3)
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Output transaction:
Settlement height:
Value:
0.001 ERG
Output transaction:
Settlement height:
Value:
0.0035 ERG
Tokens:
Loading assets...
Outputs (5)
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.00246004 ERG
Spent in transaction:
Settlement height:
Value:
0.00003996 ERG
Tokens:
Transaction Details
Status: Confirmed
Size: 6.01 KB
Received time: 6/18/2024 05:05:48 PM
Included in blocks: 1,289,387
Confirmations: 470,538
Total coins transferred: 0.0055 ERG
Fees: 0.00246004 ERG
Fees per byte: 0.0000004 ERG
Raw Transaction Data
{
  "id": "23cc218e7894bb63f191bf37f2e4e1e7affebcca6b7e6df716753df299293889",
  "blockId": "1ac87c9fafa03bfb2408e2b2395c8c051eb85b769ba84665f5e94d639261ea54",
  "inclusionHeight": 1289387,
  "timestamp": 1718730348534,
  "index": 9,
  "globalIndex": 7370805,
  "numConfirmations": 470538,
  "inputs": [
    {
      "boxId": "cf7ceffd2d66739db861c94e2220cb41734f7efddeda0d4b91bdd51a63b9e189",
      "value": 1000000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "1ac87c9fafa03bfb2408e2b2395c8c051eb85b769ba84665f5e94d639261ea54",
      "outputTransactionId": "cbb442df7fc7deede98fa932c59544d900b03949c601ae3f49853216a61a3fd6",
      "outputIndex": 0,
      "outputGlobalIndex": 40907070,
      "outputCreatedAt": 1289385,
      "outputSettledAt": 1289387,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: Coll(-34,-82,-49,91,100,-70,-42,-11,87,11,-83,10,97,12,78,72,73,87,-49,71,-126,48,-124,0,-68,-112,64,76,29,20,16,-38)\n3: Coll(3,-110,8,-68,78,-17,-102,3,-24,-41,-117,-122,99,-93,1,-69,95,-83,-36,-89,-117,-31,-99,127,-27,53,-77,-58,76,-66,-2,66)\n4: Coll(-120,48,97,44,82,53,95,111,40,13,18,-105,-15,-97,103,-80,120,-55,-38,-89,-41,-80,75,69,-100,-111,-52,100,73,87,-62,-128)\n5: Coll(-117,-57,-113,28,106,-82,-55,30,98,-114,21,-49,102,-116,22,-52,30,-101,-40,-28,-71,-73,-31,109,99,24,-75,-11,35,-91,-23,-67)\n6: Coll(79,-40,-80,-42,-39,-126,66,114,111,87,-77,-33,-90,-122,18,103,-110,-72,-27,5,110,29,81,-74,-23,13,104,-128,-49,45,-51,-59)\n7: Coll(-119,46,111,71,-95,13,92,-112,-72,122,-44,-122,51,85,-50,-83,0,-61,-30,-104,50,23,-18,21,83,50,83,-51,-102,96,37,-62)\n8: Coll(58,17,-107,92,71,25,-27,-120,-68,-26,-89,97,29,39,-67,31,-33,-37,87,56,92,-82,-30,102,-40,4,12,-119,79,28,46,29)\n9: Coll(9,-126,15,-53,-120,113,-5,69,12,62,6,-73,-53,94,39,-80,69,80,-121,-93,102,98,26,-99,-34,117,-126,-96,25,17,30,62)\n10: 0\n11: 0\n12: Coll(19,-108,19,9,-46,-72,45,-46,-75,116,77,-50,-77,-22,-101,101,16,-74,-83,116,-63,-61,108,-19,42,62,114,-54,41,-31,19,-46)\n13: 0\n14: 6\n15: 0\n16: 1\n17: 1\n18: 33\n19: 1\n20: 2\n21: 1\n22: 33\n23: 2\n24: 3\n25: 1\n26: 33\n27: 3\n28: 4\n29: 1\n30: 33\n31: 4\n32: 5\n33: 1\n34: 33\n35: 5\n36: 6\n37: 1\n38: 33\n39: 6\n40: 7\n41: 1\n42: 33\n43: 0\n44: 1\n45: 33\n46: 0\n47: 0\n48: 1\n49: 1",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val b2 = getVar[Byte](1.toByte).get\n  val i3 = b2.toInt\n  val box4 = INPUTS(placeholder[Int](1))\n  val coll5 = box1.R4[AvlTree].get.getMany(\n    Coll[Coll[Byte]](\n      placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4), placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6), placeholder[\n        Coll[Byte]\n      ](7), placeholder[Coll[Byte]](8), placeholder[Coll[Byte]](9)\n    ), getVar[Coll[Byte]](0.toByte).get\n  )\n  val box6 = OUTPUTS(placeholder[Int](10))\n  val coll7 = box6.tokens\n  val coll8 = SELF.tokens\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        box1.tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), (i3 >= placeholder[Int](13)) && (i3 <= placeholder[Int](14)), anyOf(\n          Coll[Boolean](\n            (b2 == placeholder[Byte](15)) && (\n              blake2b256(box4.propositionBytes) == coll5(placeholder[Int](16)).get.slice(placeholder[Int](17), placeholder[Int](18))\n            ), (b2 == placeholder[Byte](19)) && (\n              blake2b256(box4.propositionBytes) == coll5(placeholder[Int](20)).get.slice(placeholder[Int](21), placeholder[Int](22))\n            ), (b2 == placeholder[Byte](23)) && (\n              blake2b256(box4.propositionBytes) == coll5(placeholder[Int](24)).get.slice(placeholder[Int](25), placeholder[Int](26))\n            ), (b2 == placeholder[Byte](27)) && (\n              blake2b256(box4.propositionBytes) == coll5(placeholder[Int](28)).get.slice(placeholder[Int](29), placeholder[Int](30))\n            ), (b2 == placeholder[Byte](31)) && (\n              blake2b256(box4.propositionBytes) == coll5(placeholder[Int](32)).get.slice(placeholder[Int](33), placeholder[Int](34))\n            ), (b2 == placeholder[Byte](35)) && (\n              blake2b256(box4.propositionBytes) == coll5(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38))\n            ), (b2 == placeholder[Byte](39)) && (\n              blake2b256(box4.propositionBytes) == coll5(placeholder[Int](40)).get.slice(placeholder[Int](41), placeholder[Int](42))\n            )\n          )\n        ), allOf(\n          Coll[Boolean](\n            blake2b256(box6.propositionBytes) == coll5(placeholder[Int](43)).get.slice(placeholder[Int](44), placeholder[Int](45)), coll7(\n              placeholder[Int](46)\n            ) == coll8(placeholder[Int](47)), coll7(placeholder[Int](48))._1 == coll8(placeholder[Int](49))._1\n          )\n        )\n      )\n    )\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "e2e2f3c5381635deb4ff602826a55f813d2a5b1cc05d63b686c4be07b7a7be71",
          "index": 0,
          "amount": 1,
          "name": "ErgoHack VIII Community Awards Stake State",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "e2c53d59691aa67d52ac256b6ff72ec901553caf08a51a7053ef7c7df59af62a",
          "index": 1,
          "amount": 79,
          "name": "ErgoHack VIII DAO",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1107eceda2c587649c014e54f8010000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1718999079798,78,39,42,124,0,0]"
        },
        "R6": {
          "serializedValue": "1d05020000020000020000020000020000",
          "sigmaType": "Coll[Coll[SLong]]",
          "renderedValue": "[[0,0],[0,0],[0,0],[0,0],[0,0]]"
        },
        "R8": {
          "serializedValue": "11020000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0]"
        },
        "R7": {
          "serializedValue": "0c3c6464024ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
          "sigmaType": null,
          "renderedValue": null
        },
        "R4": {
          "serializedValue": "0c64023ffb74a5bd1205e843518705a3daf690a48063c9db332f3967049cd33685252b06072000aeab0e1ef57a43b6de6b444034d4e052667794e7dc96a7cb2def124bd50ca3e206072000",
          "sigmaType": null,
          "renderedValue": null
        }
      }
    },
    {
      "boxId": "f364ca2dabeffd2a14ff23182b0bf077b1d59da85fb58ebcf15b9f151472cb89",
      "value": 1000000,
      "index": 1,
      "spendingProof": null,
      "outputBlockId": "5d1f49e6f808313423fd0f63a8de18b948c5dbbe692121528f61fd754a36e830",
      "outputTransactionId": "b36f32f0f2cc4ad5d0925c00367926c952c9383599ab46430af089d7e29b1fff",
      "outputIndex": 1,
      "outputGlobalIndex": 40907016,
      "outputCreatedAt": 1289382,
      "outputSettledAt": 1289384,
      "ergoTree": "103b040004000e20039208bc4eef9a03e8d78b8663a301bb5faddca78be19d7fe535b3c64cbefe420e20efc4f603dea6041286a89f5bd516ac96ea5b25da4f08d76c6927e01d61b22adf0e204932c28754f2e4fab8e85af8ee3deb5bbe4924b7585466d20deed4c99e4191a2040004040400040004040400040c044a040a040c044a040a040c044a0402040805000410041004100400040204000e2013941309d2b82dd2b5744dceb3ea9b6510b6ad74c1c36ced2a3e72ca29e113d204000402040c044c04040404040204020400040004060406050005000502040204020402040204020400040004020500040004020442040405020404d815d601b2db6501fe730000d602b2a4730100d603db63087202d604dc640be4c6720104640283030e730273037304e4e3000ed605b2a5730500d606db63087205d607e4c67205040c64d608e4c67202040c64d609e4c672050511d60ae4c672020511d60bb1720ad60cc57202d60d8cb2db6308b2a573060073070001d60ee4e3010c3c0e0ed60fb2720e730800d610e4b27204730900d611db0c0eb47210730a9d99b17210730b730cd612db0c0eb3b4720a730d720badb4ad7211d9011204b472109a9a730e9c730f721273109a73119c73129a7212731399720b7314b17211d901120e7315d613ad7212d9011304d801d6159a9c7213731673177cb48c720f0272159a72157318d614b27213731900d615b2a5731a00d196830a01938cb2db63087201731b0001731c96830901938cb27203731d0001b4e4b27204731e00731f732092c17205c1720293b472067321b17206b472037322b1720393b27207732300b2720873240093b27209732500b2720a73260093b472097327b17209b4720a7328720b93e4c67205061de4c67202061d93e4c67205070c3c6464e4c67202070c3c646493e4c672050811e4c672020811ed93720c720d93720c8c720f0193b0dc0c0fa501d9011663db630872167329d90116414d0ed801d6188c7216029a8c72160195938c721801720d8c721802732a732bed937214998cb27206732c00028cb27203732d000293721499b27209732e00b2720a732f0093b1720e733093db6401e4dc640cb2720873310002720ee4e3020edb6401b27207733200afb472137333b17212d901160593721673349683020193cbc27215b4e4b272047335007336733792c17215c1a7939ab2720a7338007339b27209733a00",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(3,-110,8,-68,78,-17,-102,3,-24,-41,-117,-122,99,-93,1,-69,95,-83,-36,-89,-117,-31,-99,127,-27,53,-77,-58,76,-66,-2,66)\n3: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n4: Coll(73,50,-62,-121,84,-14,-28,-6,-72,-24,90,-8,-18,61,-21,91,-66,73,36,-73,88,84,102,-46,13,-18,-44,-55,-98,65,-111,-94)\n5: 0\n6: 2\n7: 0\n8: 0\n9: 2\n10: 0\n11: 6\n12: 37\n13: 5\n14: 6\n15: 37\n16: 5\n17: 6\n18: 37\n19: 1\n20: 4\n21: 0\n22: 8\n23: 8\n24: 8\n25: 0\n26: 1\n27: 0\n28: Coll(19,-108,19,9,-46,-72,45,-46,-75,116,77,-50,-77,-22,-101,101,16,-74,-83,116,-63,-61,108,-19,42,62,114,-54,41,-31,19,-46)\n29: 0\n30: 1\n31: 6\n32: 38\n33: 2\n34: 2\n35: 1\n36: 1\n37: 0\n38: 0\n39: 3\n40: 3\n41: 0\n42: 0\n43: 1\n44: 1\n45: 1\n46: 1\n47: 1\n48: 1\n49: 0\n50: 0\n51: 1\n52: 0\n53: 0\n54: 1\n55: 33\n56: 2\n57: 1\n58: 2",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val box2 = INPUTS(placeholder[Int](1))\n  val coll3 = box2.tokens\n  val coll4 = box1.R4[AvlTree].get.getMany(\n    Coll[Coll[Byte]](placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get\n  )\n  val box5 = OUTPUTS(placeholder[Int](5))\n  val coll6 = box5.tokens\n  val coll7 = box5.R4[Coll[AvlTree]].get\n  val coll8 = box2.R4[Coll[AvlTree]].get\n  val coll9 = box5.R5[Coll[Long]].get\n  val coll10 = box2.R5[Coll[Long]].get\n  val i11 = coll10.size\n  val coll12 = box2.id\n  val coll13 = OUTPUTS(placeholder[Int](6)).tokens(placeholder[Int](7))._1\n  val coll14 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n  val tuple15 = coll14(placeholder[Int](8))\n  val coll16 = coll4(placeholder[Int](9)).get\n  val coll17 = coll16.slice(placeholder[Int](10), coll16.size - placeholder[Int](11) / placeholder[Int](12)).indices\n  val coll18 = coll10.slice(placeholder[Int](13), i11).append(\n    coll17.map(\n      {(i18: Int) =>\n        coll16.slice(\n          placeholder[Int](14) + placeholder[Int](15) * i18 + placeholder[Int](16), placeholder[Int](17) + placeholder[Int](18) * i18 + placeholder[Int](19)\n        )\n      }\n    ).slice(i11 - placeholder[Int](20), coll17.size).map({(coll18: Coll[Byte]) => placeholder[Long](21) })\n  ).indices\n  val coll19 = coll18.map({(i19: Int) =>\n      val i21 = i19 * placeholder[Int](22) + placeholder[Int](23)\n      byteArrayToLong(tuple15._2.slice(i21, i21 + placeholder[Int](24)))\n    })\n  val l20 = coll19(placeholder[Int](25))\n  val box21 = OUTPUTS(placeholder[Int](26))\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        box1.tokens(placeholder[Int](27))._1 == placeholder[Coll[Byte]](28), allOf(\n          Coll[Boolean](\n            coll3(placeholder[Int](29))._1 == coll4(placeholder[Int](30)).get.slice(\n              placeholder[Int](31), placeholder[Int](32)\n            ), box5.value >= box2.value, coll6.slice(placeholder[Int](33), coll6.size) == coll3.slice(placeholder[Int](34), coll3.size), coll7(\n              placeholder[Int](35)\n            ) == coll8(placeholder[Int](36)), coll9(placeholder[Int](37)) == coll10(placeholder[Int](38)), coll9.slice(\n              placeholder[Int](39), coll9.size\n            ) == coll10.slice(placeholder[Int](40), i11), box5.R6[Coll[Coll[Long]]].get == box2.R6[Coll[Coll[Long]]].get, box5.R7[\n              Coll[(AvlTree, AvlTree)]\n            ].get == box2.R7[Coll[(AvlTree, AvlTree)]].get, box5.R8[Coll[Long]].get == box2.R8[Coll[Long]].get\n          )\n        ), (coll12 == coll13) && (coll12 == tuple15._1), OUTPUTS.flatMap({(box22: Box) => box22.tokens }).fold(\n          placeholder[Long](41), {(tuple22: (Long, (Coll[Byte], Long))) =>\n            val tuple24 = tuple22._2\n            tuple22._1 + if (tuple24._1 == coll13) { tuple24._2 } else { placeholder[Long](42) }\n          }\n        ) == placeholder[Long](43), (l20 == coll6(placeholder[Int](44))._2 - coll3(placeholder[Int](45))._2) && (\n          l20 == coll9(placeholder[Int](46)) - coll10(placeholder[Int](47))\n        ), coll14.size == placeholder[Int](48), coll8(placeholder[Int](49)).insert(coll14, getVar[Coll[Byte]](2.toByte).get).get.digest == coll7(\n          placeholder[Int](50)\n        ).digest, coll19.slice(placeholder[Int](51), coll18.size).forall({(l22: Long) => l22 == placeholder[Long](52) }), allOf(\n          Coll[Boolean](\n            blake2b256(box21.propositionBytes) == coll4(placeholder[Int](53)).get.slice(placeholder[Int](54), placeholder[Int](55)), box21.value >= SELF.value\n          )\n        ), coll10(placeholder[Int](56)) + placeholder[Long](57) == coll9(placeholder[Int](58))\n      )\n    )\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "1768fbcd54d4e2e529f708eca7d012bff7ec2174d6d21230b34496a64d08c7f2",
      "value": 3500000,
      "index": 2,
      "spendingProof": null,
      "outputBlockId": "1ac87c9fafa03bfb2408e2b2395c8c051eb85b769ba84665f5e94d639261ea54",
      "outputTransactionId": "130e5e379487ab7087c4466b69f5b5b9d17cc7ef2dba857a9081facfa8b58278",
      "outputIndex": 0,
      "outputGlobalIndex": 40907060,
      "outputCreatedAt": 1289385,
      "outputSettledAt": 1289387,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 0\n2: 1000000\n3: 30\n4: 0\n5: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n6: Coll(37,-75,-102,116,0,-35,-76,-39,37,58,20,83,113,-73,-52,-114,-40,97,99,-40,-2,-87,44,-43,112,-116,-122,18,-13,-42,-109,-81)\n7: 2\n8: 0\n9: 1\n10: 0\n11: 5\n12: 0\n13: Coll(19,-108,19,9,-46,-72,45,-46,-75,116,77,-50,-77,-22,-101,101,16,-74,-83,116,-63,-61,108,-19,42,62,114,-54,41,-31,19,-46)\n14: 0\n15: 0\n16: 6\n17: 38\n18: 0\n19: 5\n20: Coll(32,83,116,97,107,101,32,75,101,121)\n21: Coll(80,111,119,101,114,101,100,32,98,121,32,80,97,105,100,101,105,97)\n22: 48\n23: 0\n24: 1\n25: 1\n26: 1\n27: 1\n28: 1\n29: 1\n30: 0\n31: 0\n32: 8\n33: 8\n34: 8\n35: 1\n36: 0",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  val coll2 = box1.id\n  sigmaProp(if (coll2 == SELF.id) {(\n      val box3 = OUTPUTS(placeholder[Int](1))\n      allOf(Coll[Boolean](box3.value >= SELF.value - placeholder[Long](2), box3.tokens == SELF.tokens, box3.propositionBytes == SELF.R4[Coll[Byte]].get, CONTEXT.preHeader.height >= SELF.creationInfo._1 + placeholder[Int](3)))\n    )} else {(\n      val box3 = CONTEXT.dataInputs(placeholder[Int](4))\n      val coll4 = box1.tokens\n      val coll5 = box3.R4[AvlTree].get.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6)), getVar[Coll[Byte]](0.toByte).get)\n      val box6 = OUTPUTS(placeholder[Int](7))\n      val coll7 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n      val tuple8 = coll7(placeholder[Int](8))\n      val coll9 = coll5(placeholder[Int](9)).get\n      val l10 = SELF.R5[Long].get\n      val box11 = OUTPUTS(placeholder[Int](10))\n      val coll12 = box1.R5[Coll[Long]].get\n      val coll13 = coll12.slice(placeholder[Int](11), coll12.size).indices\n      allOf(Coll[Boolean](box3.tokens(placeholder[Int](12))._1 == placeholder[Coll[Byte]](13), coll4(placeholder[Int](14))._1 == coll5(placeholder[Int](15)).get.slice(placeholder[Int](16), placeholder[Int](17)), allOf(Coll[Boolean](coll2 == box6.tokens(placeholder[Int](18))._1, coll2 == tuple8._1, box6.R4[Coll[Byte]].get == coll9.slice(placeholder[Int](19), coll9.size).append(placeholder[Coll[Byte]](20)), box6.R5[Coll[Byte]].get == placeholder[Coll[Byte]](21), box6.R6[Coll[Byte]].get == Coll[Byte](placeholder[Byte](22)))), OUTPUTS.flatMap({(box14: Box) => box14.tokens }).fold(placeholder[Long](23), {(tuple14: (Long, (Coll[Byte], Long))) =>\n              val tuple16 = tuple14._2\n              val l17 = tuple14._1\n              if (tuple16._1 == coll2) { l17 + tuple16._2 } else { l17 }\n            }) == placeholder[Long](24), allOf(Coll[Boolean](l10 == box11.tokens(placeholder[Int](25))._2 - coll4(placeholder[Int](26))._2, l10 == box11.R5[Coll[Long]].get(placeholder[Int](27)) - coll12(placeholder[Int](28)))), coll7.size == placeholder[Int](29), box1.R4[Coll[AvlTree]].get(placeholder[Int](30)).insert(coll7, getVar[Coll[Byte]](2.toByte).get).get.digest == box11.R4[Coll[AvlTree]].get(placeholder[Int](31)).digest, coll13.map({(i14: Int) =>\n              val i16 = i14 * placeholder[Int](32) + placeholder[Int](33)\n              byteArrayToLong(tuple8._2.slice(i16, i16 + placeholder[Int](34)))\n            }).slice(placeholder[Int](35), coll13.size).forall({(l14: Long) => l14 == placeholder[Long](36) }), box6.propositionBytes == SELF.R4[Coll[Byte]].get))\n    )})\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "e2c53d59691aa67d52ac256b6ff72ec901553caf08a51a7053ef7c7df59af62a",
          "index": 0,
          "amount": 1,
          "name": "ErgoHack VIII DAO",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
          "index": 1,
          "amount": 1000,
          "name": "bPaideia",
          "decimals": 4,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd031ede9027a18d485b410e55f69bcf99d5abc32a2df8da2d950beec3f907bed732",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd031ede9027a18d485b410e55f69bcf99d5abc32a2df8da2d950beec3f907bed732"
        },
        "R5": {
          "serializedValue": "0502",
          "sigmaType": "SLong",
          "renderedValue": "1"
        }
      }
    }
  ],
  "dataInputs": [
    {
      "boxId": "be58e8a328a8e47a373a5a17a4693574605ed7afb2ef797cf10d148deafb2140",
      "value": 1000000,
      "index": 0,
      "outputBlockId": "932db3fc2c1f0a28003ae65ac4ac5e957d5513326c825904f518e688924167a4",
      "outputTransactionId": "f0a51844661b4687cf56338251d7b21d630735c5c26dbb0ba8e49c1cf72c36d7",
      "outputIndex": 1,
      "ergoTree": "100904000e20a9558e4186cbd5aa5723a852d4c1dc657d9e814382ff888d5a8aec521531301d040004020442040004000e202afc5afd6d6b2fc706d5d4a7f5ee96dfd507c0af9930169140dd8d2c97cc16840100d801d601b2a5730000d19683040193db6308a7db6308720190c1a7c1720193cbc27201b4e4b2dc640be4c6720104640283010e7301e4e3000e73020073037304aea4d9010263d801d604db630872029591b172047305938cb272047306000173077308",
      "address": "FDdVv3XcPnh67Hm9GfPJpFCLuVeaYKY9MGf67RZfgNcGhsxDZPTz5JVn86hKGoSf3aCbfT4f5Vu8eYvfytPACdLhdeWiqXqJaszwxTXwVXwYGhndY7JB1EbuKhAUHHUseL57dE2o28vnTvw826V5aMaqza2BepWYDmcYLUjJetzbxVSxKPxF1Vr3uEMMmPY3Jv7BS4jUaR7SdrVcvAeswb1CyzpyCbECqw8JCvcmbu8NsvRkVDWZuPa7Jk9xAJXt",
      "assets": [],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "64768cade22411811d693f1f3ed237b05a1c606f5af3edec40519e9bd7e89c236a06072000",
          "sigmaType": null,
          "renderedValue": null
        }
      }
    }
  ],
  "outputs": [
    {
      "boxId": "60151345d925d8e08c9a75bba0526c586840ea3814c8a55d908d0c14948a622c",
      "transactionId": "23cc218e7894bb63f191bf37f2e4e1e7affebcca6b7e6df716753df299293889",
      "blockId": "1ac87c9fafa03bfb2408e2b2395c8c051eb85b769ba84665f5e94d639261ea54",
      "value": 1000000,
      "index": 0,
      "globalIndex": 40907076,
      "creationHeight": 1289385,
      "settlementHeight": 1289387,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 0\n1: 1\n2: Coll(-34,-82,-49,91,100,-70,-42,-11,87,11,-83,10,97,12,78,72,73,87,-49,71,-126,48,-124,0,-68,-112,64,76,29,20,16,-38)\n3: Coll(3,-110,8,-68,78,-17,-102,3,-24,-41,-117,-122,99,-93,1,-69,95,-83,-36,-89,-117,-31,-99,127,-27,53,-77,-58,76,-66,-2,66)\n4: Coll(-120,48,97,44,82,53,95,111,40,13,18,-105,-15,-97,103,-80,120,-55,-38,-89,-41,-80,75,69,-100,-111,-52,100,73,87,-62,-128)\n5: Coll(-117,-57,-113,28,106,-82,-55,30,98,-114,21,-49,102,-116,22,-52,30,-101,-40,-28,-71,-73,-31,109,99,24,-75,-11,35,-91,-23,-67)\n6: Coll(79,-40,-80,-42,-39,-126,66,114,111,87,-77,-33,-90,-122,18,103,-110,-72,-27,5,110,29,81,-74,-23,13,104,-128,-49,45,-51,-59)\n7: Coll(-119,46,111,71,-95,13,92,-112,-72,122,-44,-122,51,85,-50,-83,0,-61,-30,-104,50,23,-18,21,83,50,83,-51,-102,96,37,-62)\n8: Coll(58,17,-107,92,71,25,-27,-120,-68,-26,-89,97,29,39,-67,31,-33,-37,87,56,92,-82,-30,102,-40,4,12,-119,79,28,46,29)\n9: Coll(9,-126,15,-53,-120,113,-5,69,12,62,6,-73,-53,94,39,-80,69,80,-121,-93,102,98,26,-99,-34,117,-126,-96,25,17,30,62)\n10: 0\n11: 0\n12: Coll(19,-108,19,9,-46,-72,45,-46,-75,116,77,-50,-77,-22,-101,101,16,-74,-83,116,-63,-61,108,-19,42,62,114,-54,41,-31,19,-46)\n13: 0\n14: 6\n15: 0\n16: 1\n17: 1\n18: 33\n19: 1\n20: 2\n21: 1\n22: 33\n23: 2\n24: 3\n25: 1\n26: 33\n27: 3\n28: 4\n29: 1\n30: 33\n31: 4\n32: 5\n33: 1\n34: 33\n35: 5\n36: 6\n37: 1\n38: 33\n39: 6\n40: 7\n41: 1\n42: 33\n43: 0\n44: 1\n45: 33\n46: 0\n47: 0\n48: 1\n49: 1",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val b2 = getVar[Byte](1.toByte).get\n  val i3 = b2.toInt\n  val box4 = INPUTS(placeholder[Int](1))\n  val coll5 = box1.R4[AvlTree].get.getMany(\n    Coll[Coll[Byte]](\n      placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4), placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6), placeholder[\n        Coll[Byte]\n      ](7), placeholder[Coll[Byte]](8), placeholder[Coll[Byte]](9)\n    ), getVar[Coll[Byte]](0.toByte).get\n  )\n  val box6 = OUTPUTS(placeholder[Int](10))\n  val coll7 = box6.tokens\n  val coll8 = SELF.tokens\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        box1.tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), (i3 >= placeholder[Int](13)) && (i3 <= placeholder[Int](14)), anyOf(\n          Coll[Boolean](\n            (b2 == placeholder[Byte](15)) && (\n              blake2b256(box4.propositionBytes) == coll5(placeholder[Int](16)).get.slice(placeholder[Int](17), placeholder[Int](18))\n            ), (b2 == placeholder[Byte](19)) && (\n              blake2b256(box4.propositionBytes) == coll5(placeholder[Int](20)).get.slice(placeholder[Int](21), placeholder[Int](22))\n            ), (b2 == placeholder[Byte](23)) && (\n              blake2b256(box4.propositionBytes) == coll5(placeholder[Int](24)).get.slice(placeholder[Int](25), placeholder[Int](26))\n            ), (b2 == placeholder[Byte](27)) && (\n              blake2b256(box4.propositionBytes) == coll5(placeholder[Int](28)).get.slice(placeholder[Int](29), placeholder[Int](30))\n            ), (b2 == placeholder[Byte](31)) && (\n              blake2b256(box4.propositionBytes) == coll5(placeholder[Int](32)).get.slice(placeholder[Int](33), placeholder[Int](34))\n            ), (b2 == placeholder[Byte](35)) && (\n              blake2b256(box4.propositionBytes) == coll5(placeholder[Int](36)).get.slice(placeholder[Int](37), placeholder[Int](38))\n            ), (b2 == placeholder[Byte](39)) && (\n              blake2b256(box4.propositionBytes) == coll5(placeholder[Int](40)).get.slice(placeholder[Int](41), placeholder[Int](42))\n            )\n          )\n        ), allOf(\n          Coll[Boolean](\n            blake2b256(box6.propositionBytes) == coll5(placeholder[Int](43)).get.slice(placeholder[Int](44), placeholder[Int](45)), coll7(\n              placeholder[Int](46)\n            ) == coll8(placeholder[Int](47)), coll7(placeholder[Int](48))._1 == coll8(placeholder[Int](49))._1\n          )\n        )\n      )\n    )\n  )\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "e2e2f3c5381635deb4ff602826a55f813d2a5b1cc05d63b686c4be07b7a7be71",
          "index": 0,
          "amount": 1,
          "name": "ErgoHack VIII Community Awards Stake State",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "e2c53d59691aa67d52ac256b6ff72ec901553caf08a51a7053ef7c7df59af62a",
          "index": 1,
          "amount": 80,
          "name": "ErgoHack VIII DAO",
          "decimals": 0,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R5": {
          "serializedValue": "1107eceda2c587649e015054f8010000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[1718999079798,79,40,42,124,0,0]"
        },
        "R6": {
          "serializedValue": "1d05020000020000020000020000020000",
          "sigmaType": "Coll[Coll[SLong]]",
          "renderedValue": "[[0,0],[0,0],[0,0],[0,0],[0,0]]"
        },
        "R8": {
          "serializedValue": "11020000",
          "sigmaType": "Coll[SLong]",
          "renderedValue": "[0,0]"
        },
        "R7": {
          "serializedValue": "0c3c6464024ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e1609000720004ec61f485b98eb87153f7c57db4f5ecd75556fddbc403b41acf8441fde8e160900072000",
          "sigmaType": null,
          "renderedValue": null
        },
        "R4": {
          "serializedValue": "0c6402193770ca7d2ed09f5247ae995b20aa1ec93d21e4c10cef2b9415d91691ca9a1e06072000aeab0e1ef57a43b6de6b444034d4e052667794e7dc96a7cb2def124bd50ca3e206072000",
          "sigmaType": null,
          "renderedValue": null
        }
      },
      "spentTransactionId": "f453b4b875034946c0ccee2d064196a4f4199124e354624cf54f77d2c4daa990",
      "mainChain": true
    },
    {
      "boxId": "f43ab9019e95113a94cc8f29aabe805ea8ba824ba6aab58df95933b32981d30e",
      "transactionId": "23cc218e7894bb63f191bf37f2e4e1e7affebcca6b7e6df716753df299293889",
      "blockId": "1ac87c9fafa03bfb2408e2b2395c8c051eb85b769ba84665f5e94d639261ea54",
      "value": 1000000,
      "index": 1,
      "globalIndex": 40907077,
      "creationHeight": 1289385,
      "settlementHeight": 1289387,
      "ergoTree": "103b040004000e20039208bc4eef9a03e8d78b8663a301bb5faddca78be19d7fe535b3c64cbefe420e20efc4f603dea6041286a89f5bd516ac96ea5b25da4f08d76c6927e01d61b22adf0e204932c28754f2e4fab8e85af8ee3deb5bbe4924b7585466d20deed4c99e4191a2040004040400040004040400040c044a040a040c044a040a040c044a0402040805000410041004100400040204000e2013941309d2b82dd2b5744dceb3ea9b6510b6ad74c1c36ced2a3e72ca29e113d204000402040c044c04040404040204020400040004060406050005000502040204020402040204020400040004020500040004020442040405020404d815d601b2db6501fe730000d602b2a4730100d603db63087202d604dc640be4c6720104640283030e730273037304e4e3000ed605b2a5730500d606db63087205d607e4c67205040c64d608e4c67202040c64d609e4c672050511d60ae4c672020511d60bb1720ad60cc57202d60d8cb2db6308b2a573060073070001d60ee4e3010c3c0e0ed60fb2720e730800d610e4b27204730900d611db0c0eb47210730a9d99b17210730b730cd612db0c0eb3b4720a730d720badb4ad7211d9011204b472109a9a730e9c730f721273109a73119c73129a7212731399720b7314b17211d901120e7315d613ad7212d9011304d801d6159a9c7213731673177cb48c720f0272159a72157318d614b27213731900d615b2a5731a00d196830a01938cb2db63087201731b0001731c96830901938cb27203731d0001b4e4b27204731e00731f732092c17205c1720293b472067321b17206b472037322b1720393b27207732300b2720873240093b27209732500b2720a73260093b472097327b17209b4720a7328720b93e4c67205061de4c67202061d93e4c67205070c3c6464e4c67202070c3c646493e4c672050811e4c672020811ed93720c720d93720c8c720f0193b0dc0c0fa501d9011663db630872167329d90116414d0ed801d6188c7216029a8c72160195938c721801720d8c721802732a732bed937214998cb27206732c00028cb27203732d000293721499b27209732e00b2720a732f0093b1720e733093db6401e4dc640cb2720873310002720ee4e3020edb6401b27207733200afb472137333b17212d901160593721673349683020193cbc27215b4e4b272047335007336733792c17215c1a7939ab2720a7338007339b27209733a00",
      "ergoTreeConstants": "0: 0\n1: 0\n2: Coll(3,-110,8,-68,78,-17,-102,3,-24,-41,-117,-122,99,-93,1,-69,95,-83,-36,-89,-117,-31,-99,127,-27,53,-77,-58,76,-66,-2,66)\n3: Coll(-17,-60,-10,3,-34,-90,4,18,-122,-88,-97,91,-43,22,-84,-106,-22,91,37,-38,79,8,-41,108,105,39,-32,29,97,-78,42,-33)\n4: Coll(73,50,-62,-121,84,-14,-28,-6,-72,-24,90,-8,-18,61,-21,91,-66,73,36,-73,88,84,102,-46,13,-18,-44,-55,-98,65,-111,-94)\n5: 0\n6: 2\n7: 0\n8: 0\n9: 2\n10: 0\n11: 6\n12: 37\n13: 5\n14: 6\n15: 37\n16: 5\n17: 6\n18: 37\n19: 1\n20: 4\n21: 0\n22: 8\n23: 8\n24: 8\n25: 0\n26: 1\n27: 0\n28: Coll(19,-108,19,9,-46,-72,45,-46,-75,116,77,-50,-77,-22,-101,101,16,-74,-83,116,-63,-61,108,-19,42,62,114,-54,41,-31,19,-46)\n29: 0\n30: 1\n31: 6\n32: 38\n33: 2\n34: 2\n35: 1\n36: 1\n37: 0\n38: 0\n39: 3\n40: 3\n41: 0\n42: 0\n43: 1\n44: 1\n45: 1\n46: 1\n47: 1\n48: 1\n49: 0\n50: 0\n51: 1\n52: 0\n53: 0\n54: 1\n55: 33\n56: 2\n57: 1\n58: 2",
      "ergoTreeScript": "{\n  val box1 = CONTEXT.dataInputs(placeholder[Int](0))\n  val box2 = INPUTS(placeholder[Int](1))\n  val coll3 = box2.tokens\n  val coll4 = box1.R4[AvlTree].get.getMany(\n    Coll[Coll[Byte]](placeholder[Coll[Byte]](2), placeholder[Coll[Byte]](3), placeholder[Coll[Byte]](4)), getVar[Coll[Byte]](0.toByte).get\n  )\n  val box5 = OUTPUTS(placeholder[Int](5))\n  val coll6 = box5.tokens\n  val coll7 = box5.R4[Coll[AvlTree]].get\n  val coll8 = box2.R4[Coll[AvlTree]].get\n  val coll9 = box5.R5[Coll[Long]].get\n  val coll10 = box2.R5[Coll[Long]].get\n  val i11 = coll10.size\n  val coll12 = box2.id\n  val coll13 = OUTPUTS(placeholder[Int](6)).tokens(placeholder[Int](7))._1\n  val coll14 = getVar[Coll[(Coll[Byte], Coll[Byte])]](1.toByte).get\n  val tuple15 = coll14(placeholder[Int](8))\n  val coll16 = coll4(placeholder[Int](9)).get\n  val coll17 = coll16.slice(placeholder[Int](10), coll16.size - placeholder[Int](11) / placeholder[Int](12)).indices\n  val coll18 = coll10.slice(placeholder[Int](13), i11).append(\n    coll17.map(\n      {(i18: Int) =>\n        coll16.slice(\n          placeholder[Int](14) + placeholder[Int](15) * i18 + placeholder[Int](16), placeholder[Int](17) + placeholder[Int](18) * i18 + placeholder[Int](19)\n        )\n      }\n    ).slice(i11 - placeholder[Int](20), coll17.size).map({(coll18: Coll[Byte]) => placeholder[Long](21) })\n  ).indices\n  val coll19 = coll18.map({(i19: Int) =>\n      val i21 = i19 * placeholder[Int](22) + placeholder[Int](23)\n      byteArrayToLong(tuple15._2.slice(i21, i21 + placeholder[Int](24)))\n    })\n  val l20 = coll19(placeholder[Int](25))\n  val box21 = OUTPUTS(placeholder[Int](26))\n  sigmaProp(\n    allOf(\n      Coll[Boolean](\n        box1.tokens(placeholder[Int](27))._1 == placeholder[Coll[Byte]](28), allOf(\n          Coll[Boolean](\n            coll3(placeholder[Int](29))._1 == coll4(placeholder[Int](30)).get.slice(\n              placeholder[Int](31), placeholder[Int](32)\n            ), box5.value >= box2.value, coll6.slice(placeholder[Int](33), coll6.size) == coll3.slice(placeholder[Int](34), coll3.size), coll7(\n              placeholder[Int](35)\n            ) == coll8(placeholder[Int](36)), coll9(placeholder[Int](37)) == coll10(placeholder[Int](38)), coll9.slice(\n              placeholder[Int](39), coll9.size\n            ) == coll10.slice(placeholder[Int](40), i11), box5.R6[Coll[Coll[Long]]].get == box2.R6[Coll[Coll[Long]]].get, box5.R7[\n              Coll[(AvlTree, AvlTree)]\n            ].get == box2.R7[Coll[(AvlTree, AvlTree)]].get, box5.R8[Coll[Long]].get == box2.R8[Coll[Long]].get\n          )\n        ), (coll12 == coll13) && (coll12 == tuple15._1), OUTPUTS.flatMap({(box22: Box) => box22.tokens }).fold(\n          placeholder[Long](41), {(tuple22: (Long, (Coll[Byte], Long))) =>\n            val tuple24 = tuple22._2\n            tuple22._1 + if (tuple24._1 == coll13) { tuple24._2 } else { placeholder[Long](42) }\n          }\n        ) == placeholder[Long](43), (l20 == coll6(placeholder[Int](44))._2 - coll3(placeholder[Int](45))._2) && (\n          l20 == coll9(placeholder[Int](46)) - coll10(placeholder[Int](47))\n        ), coll14.size == placeholder[Int](48), coll8(placeholder[Int](49)).insert(coll14, getVar[Coll[Byte]](2.toByte).get).get.digest == coll7(\n          placeholder[Int](50)\n        ).digest, coll19.slice(placeholder[Int](51), coll18.size).forall({(l22: Long) => l22 == placeholder[Long](52) }), allOf(\n          Coll[Boolean](\n            blake2b256(box21.propositionBytes) == coll4(placeholder[Int](53)).get.slice(placeholder[Int](54), placeholder[Int](55)), box21.value >= SELF.value\n          )\n        ), coll10(placeholder[Int](56)) + placeholder[Long](57) == coll9(placeholder[Int](58))\n      )\n    )\n  )\n}",
      "address": "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",
      "assets": [],
      "additionalRegisters": {},
      "spentTransactionId": "92d1d7111df38f8f35cb4bc5434dd9a57f217febc19950fa66d48822dcc3ed77",
      "mainChain": true
    },
    {
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