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Inputs (1)
Output transaction:
Settlement height:
Value:
0.0035 ERG
Tokens:
Loading assets...
Outputs (2)
Spent in transaction:
Settlement height:
Value:
0.0025 ERG
Tokens:
Loading assets...
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Status: Confirmed
Size: 265 B
Received time: 9/22/2023 11:31:21 PM
Included in blocks: 1,096,902
Confirmations: 666,250
Total coins transferred: 0.0035 ERG
Fees: 0.001 ERG
Fees per byte: 0.000003774 ERG
Raw Transaction Data
{
  "id": "2fdc009ec5b7ee134215dbfd825681b84316f2ff2c39fd76e4500987b80eef36",
  "blockId": "40b1daf20e80f34aa2cbaa8a31a42412b1c4779945a26c6d48f33fdea9710438",
  "inclusionHeight": 1096902,
  "timestamp": 1695425481602,
  "index": 3,
  "globalIndex": 5867868,
  "numConfirmations": 666250,
  "inputs": [
    {
      "boxId": "63398041608f433d9e94039741dc0d876726006dd812eeb7d6b40c0c4ca5052f",
      "value": 3500000,
      "index": 0,
      "spendingProof": null,
      "outputBlockId": "083b9dd383f9b8d1513747f8699229b0092558896a4f5112ae9eb9e816d814b4",
      "outputTransactionId": "95be44d43cf912993ca6a02411a47db2ae94eb9a03b32812ee51d70791e57c6a",
      "outputIndex": 0,
      "outputGlobalIndex": 32910431,
      "outputCreatedAt": 1096868,
      "outputSettledAt": 1096870,
      "ergoTree": "1036040004000580897a043c04000e20efc4f603dea6041286a89f5bd516ac96ea5b25da4f08d76c6927e01d61b22adf0e204932c28754f2e4fab8e85af8ee3deb5bbe4924b7585466d20deed4c99e4191a2040004100402040004000400041004100410041004100410040404020410042005000400040004000e2000ff963212ba003aeba715c067e92ef299c55f35aed7b6aef4c975ae81a5d3f904000400040c044c0400040005000402040204020580897a04040400040c044a040c044a040a040c044a040204050404050004000101d801d601b2a4730000d19593c57201c5a7d801d602b2a57301009683040192c1720299c1a7730293db63087202db6308a793c27202e4c6a7040e92db6905db6503fe9a8cc7a7017303d811d602b2db6501fe730400d603db63087201d604dc640be4c6720204640283020e73057306e4e3000ed605e4c6a7050ed606db0c0eb472057307999db1720573087309d607b2e4c67201040c64730a00d6088cb2db6308a7730b0001d60983013c0e0e860272087205d60ab27209730c00d60be4e3010ed60cad7206d9010c04d801d60e9a9c720c730d730e7cb4e4dc640a7207028c720a01720b720e9a720e730fd60dad7206d9010d04d801d60f9a9c720d731073117cb48c720a02720f9a720f7312d60eb2a5731300d60fdb6308720ed610e4b27204731400d611917cb47205731573167317d612b2e4c6b2a5731800040c6473190096830801938cb2db63087202731a0001731b938cb27203731c0001b4e4b27204731d00731e731f9399b2720c732000b2720d732100b0720f7322d90113414d0ed802d6158c721302d6168c72130195938c7215018cb27203732300019a72168c72150272169399b2720c732400b2720d73250099c1720e7326afb472037327b17203d901134d0ed802d6158c721301d6169adc0c1aaddb0c0eb4721073289d99b172107329732ad9011604b472109a9a732b9c732c7216732d9a732e9c732f9a721673300272157331733293b0720f7333d90117414d0ed802d6198c721702d61a8c72170195938c72190172159a721a8c721902721a99b2720c721600b2720d721600957211938cb2720f733400017208733595721193db6401e4dc640d7207027209720bdb6401721293db6401e4dc640e72070283010e7208e4e3020edb6401721293c2720ee4c6a7040e",
      "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(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)\n7: 0\n8: 8\n9: 1\n10: 0\n11: 0\n12: 0\n13: 8\n14: 8\n15: 8\n16: 8\n17: 8\n18: 8\n19: 2\n20: 1\n21: 8\n22: 16\n23: 0\n24: 0\n25: 0\n26: 0\n27: Coll(0,-1,-106,50,18,-70,0,58,-21,-89,21,-64,103,-23,46,-14,-103,-59,95,53,-82,-41,-74,-82,-12,-55,117,-82,-127,-91,-45,-7)\n28: 0\n29: 0\n30: 6\n31: 38\n32: 0\n33: 0\n34: 0\n35: 1\n36: 1\n37: 1\n38: 1000000\n39: 2\n40: 0\n41: 6\n42: 37\n43: 6\n44: 37\n45: 5\n46: 6\n47: 37\n48: 1\n49: -3\n50: 2\n51: 0\n52: 0\n53: true",
      "ergoTreeScript": "{\n  val box1 = INPUTS(placeholder[Int](0))\n  sigmaProp(if (box1.id == SELF.id) {(\n      val box2 = OUTPUTS(placeholder[Int](1))\n      allOf(Coll[Boolean](box2.value >= SELF.value - placeholder[Long](2), box2.tokens == SELF.tokens, box2.propositionBytes == SELF.R4[Coll[Byte]].get, CONTEXT.preHeader.height >= SELF.creationInfo._1 + placeholder[Int](3)))\n    )} else {(\n      val box2 = CONTEXT.dataInputs(placeholder[Int](4))\n      val coll3 = box1.tokens\n      val coll4 = box2.R4[AvlTree].get.getMany(Coll[Coll[Byte]](placeholder[Coll[Byte]](5), placeholder[Coll[Byte]](6)), getVar[Coll[Byte]](0.toByte).get)\n      val coll5 = SELF.R5[Coll[Byte]].get\n      val coll6 = coll5.slice(placeholder[Int](7), coll5.size / placeholder[Int](8) - placeholder[Int](9)).indices\n      val avlTree7 = box1.R4[Coll[AvlTree]].get(placeholder[Int](10))\n      val coll8 = SELF.tokens(placeholder[Int](11))._1\n      val coll9 = Coll[(Coll[Byte], Coll[Byte])]((coll8, coll5))\n      val tuple10 = coll9(placeholder[Int](12))\n      val coll11 = getVar[Coll[Byte]](1.toByte).get\n      val coll12 = coll6.map({(i12: Int) =>\n          val i14 = i12 * placeholder[Int](13) + placeholder[Int](14)\n          byteArrayToLong(avlTree7.get(tuple10._1, coll11).get.slice(i14, i14 + placeholder[Int](15)))\n        })\n      val coll13 = coll6.map({(i13: Int) =>\n          val i15 = i13 * placeholder[Int](16) + placeholder[Int](17)\n          byteArrayToLong(tuple10._2.slice(i15, i15 + placeholder[Int](18)))\n        })\n      val box14 = OUTPUTS(placeholder[Int](19))\n      val coll15 = box14.tokens\n      val coll16 = coll4(placeholder[Int](20)).get\n      val bool17 = byteArrayToLong(coll5.slice(placeholder[Int](21), placeholder[Int](22))) > placeholder[Long](23)\n      val avlTree18 = OUTPUTS(placeholder[Int](24)).R4[Coll[AvlTree]].get(placeholder[Int](25))\n      allOf(Coll[Boolean](box2.tokens(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll3(placeholder[Int](28))._1 == coll4(placeholder[Int](29)).get.slice(placeholder[Int](30), placeholder[Int](31)), coll12(placeholder[Int](32)) - coll13(placeholder[Int](33)) == coll15.fold(placeholder[Long](34), {(tuple19: (Long, (Coll[Byte], Long))) =>\n              val tuple21 = tuple19._2\n              val l22 = tuple19._1\n              if (tuple21._1 == coll3(placeholder[Int](35))._1) { l22 + tuple21._2 } else { l22 }\n            }), coll12(placeholder[Int](36)) - coll13(placeholder[Int](37)) == box14.value - placeholder[Long](38), coll3.slice(placeholder[Int](39), coll3.size).forall({(tuple19: (Coll[Byte], Long)) =>\n              val coll21 = tuple19._1\n              val i22 = coll16.slice(placeholder[Int](40), coll16.size - placeholder[Int](41) / placeholder[Int](42)).indices.map({(i22: Int) => coll16.slice(placeholder[Int](43) + placeholder[Int](44) * i22 + placeholder[Int](45), placeholder[Int](46) + placeholder[Int](47) * i22 + placeholder[Int](48)) }).indexOf(coll21, placeholder[Int](49)) + placeholder[Int](50)\n              coll15.fold(placeholder[Long](51), {(tuple23: (Long, (Coll[Byte], Long))) =>\n                  val tuple25 = tuple23._2\n                  val l26 = tuple23._1\n                  if (tuple25._1 == coll21) { l26 + tuple25._2 } else { l26 }\n                }) == coll12(i22) - coll13(i22)\n            }), if (bool17) { coll15(placeholder[Int](52))._1 == coll8 } else { placeholder[Boolean](53) }, if (bool17) { avlTree7.update(coll9, coll11).get.digest == avlTree18.digest } else { avlTree7.remove(Coll[Coll[Byte]](coll8), getVar[Coll[Byte]](2.toByte).get).get.digest == avlTree18.digest }, box14.propositionBytes == SELF.R4[Coll[Byte]].get))\n    )})\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "bc1390bb526a741f1c9ad1526fa05c2c3bce353fb517cef91fa9b25088f86c92",
          "index": 0,
          "amount": 1,
          "name": "Paideia Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
          "index": 1,
          "amount": 1000,
          "name": "bPaideia",
          "decimals": 4,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "0e240008cd020ab3ffff5fb07d43af3b80e8c1362fe374f016397f6e59bf73c6afce41a6dedf",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "0008cd020ab3ffff5fb07d43af3b80e8c1362fe374f016397f6e59bf73c6afce41a6dedf"
        },
        "R5": {
          "serializedValue": "0e18000000000000000000000000000000000000000000000138",
          "sigmaType": "Coll[SByte]",
          "renderedValue": "000000000000000000000000000000000000000000000138"
        }
      }
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "890504e0a3df6e316085ec6a48201e98b74b5b54c6471bf7ea12ad89ce37e243",
      "transactionId": "2fdc009ec5b7ee134215dbfd825681b84316f2ff2c39fd76e4500987b80eef36",
      "blockId": "40b1daf20e80f34aa2cbaa8a31a42412b1c4779945a26c6d48f33fdea9710438",
      "value": 2500000,
      "index": 0,
      "globalIndex": 32911492,
      "creationHeight": 1096899,
      "settlementHeight": 1096902,
      "ergoTree": "0008cd020ab3ffff5fb07d43af3b80e8c1362fe374f016397f6e59bf73c6afce41a6dedf",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(ab3fff,2200c8,...)))}",
      "address": "9ebmurBJQWeWQghA85AdXzAqdHLCfMoc6nEr7P2tvnJ4afAy67x",
      "assets": [
        {
          "tokenId": "bc1390bb526a741f1c9ad1526fa05c2c3bce353fb517cef91fa9b25088f86c92",
          "index": 0,
          "amount": 1,
          "name": "Paideia Stake Key",
          "decimals": 0,
          "type": "EIP-004"
        },
        {
          "tokenId": "0040ae650c4ed77bcd20391493abe84c1a9bb58ee88e87f15670c801e2fc5983",
          "index": 1,
          "amount": 1000,
          "name": "bPaideia",
          "decimals": 4,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {},
      "spentTransactionId": "351f672133cb9f5f77d508cd83788f3b2c0d5de54d2a7287aa34674b1fc5c4e7",
      "mainChain": true
    },
    {
      "boxId": "65d2b526e079f9542a9c1dfa6a475953218badb9a63c390639d263144d541f1c",
      "transactionId": "2fdc009ec5b7ee134215dbfd825681b84316f2ff2c39fd76e4500987b80eef36",
      "blockId": "40b1daf20e80f34aa2cbaa8a31a42412b1c4779945a26c6d48f33fdea9710438",
      "value": 1000000,
      "index": 1,
      "globalIndex": 32911493,
      "creationHeight": 1096899,
      "settlementHeight": 1096902,
      "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": "9711930c393fd06fec448bc6306a99e0bf95d41c6a738d59ee44cd26154d67d0",
      "mainChain": true
    }
  ],
  "size": 265,
  "isUnconfirmed": false
}