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Transaction

2/3/2023 02:30:23 PM
ID: 6c4adb62df...5614
Inputs (2)
#0
c571693c91a6...e80f
Spent
Address:
9eYtuDups24X...Gish
Output transaction:
44faaaa86267...aba4
Settlement height:
932,238
Value:
0.24104 ERG
#1
64116ca3d275...0a99
Spent
Address:
9eYtuDups24X...Gish
Output transaction:
6d377b1bf996...1cbe
Settlement height:
932,301
Value:
0.001 ERG
Tokens:
Call_A_fakeUSD_ERG_120649999_2023-05-05_per_1
10
Outputs (3)
#0
1124adb3a834...68da
Spent
Address:
3i4iuEoB17WB...deTp
Spent in transaction:
e58da3ee5a84...8dcb
Settlement height:
932,373
Value:
0.0021 ERG
Tokens:
Call_A_fakeUSD_ERG_120649999_2023-05-05_per_1
10
#1
ba0e33e00e46...203b
Spent
Address:
9eYtuDups24X...Gish
Spent in transaction:
7c1cf6768135...957f
Settlement height:
932,373
Value:
0.23884 ERG
#2
d8bc13bce59a...6063
Spent
Address:
Ergo Platform (Miner Fee)
Spent in transaction:
deb2fd04a0c8...6fed
Settlement height:
932,373
Value:
0.0011 ERG
Transaction Details
Status: Confirmed
Size: 3.04 KB
Received time: 2/3/2023 02:30:23 PM
Included in blocks: 932,373
Confirmations: 828,862
Total coins transferred: 0.24204 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000353 ERG
Raw Transaction Data
{
  "id": "6c4adb62dfdf637547209fabbaf80a12ca8b2558d76d2fd7313bd3c85ccf5614",
  "blockId": "b3b89eb9e2c67e2f81c469fc1141b3c4d3c05cc04c0bcae4a3f64aeea01990e8",
  "inclusionHeight": 932373,
  "timestamp": 1675434623718,
  "index": 6,
  "globalIndex": 4707606,
  "numConfirmations": 828862,
  "inputs": [
    {
      "boxId": "c571693c91a6bb23f41e2eaaa2d1866d712c95d604cc664f38187e937032e80f",
      "value": 241040000,
      "index": 0,
      "spendingProof": "da3ba733dfcd5a742166af7d7110be88bbd2c922f588dee218f2462add228d4fbb4f39a5f315b5ce7c3797602cef8887c3d417f5aa90d65d",
      "outputBlockId": "b438faebb3d249b2e7664d6103c71efab464b8e40ea1158620d7cabc66241be8",
      "outputTransactionId": "44faaaa862672c7a70c94e2a918ec9f989ef659671859e56e3df764d6ad0aba4",
      "outputIndex": 2,
      "outputGlobalIndex": 26211880,
      "outputCreatedAt": 932235,
      "outputSettledAt": 932238,
      "ergoTree": "0008cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(42a355,5a35ff,...)))}",
      "address": "9eYtuDups24XXqzbYTn3qHoknh65EqbcFJhFU7pRNoXZo3hGish",
      "assets": [],
      "additionalRegisters": {}
    },
    {
      "boxId": "64116ca3d275dbfa918664dbc4d3ba49dbae338e828f3d11281e00f40d900a99",
      "value": 1000000,
      "index": 1,
      "spendingProof": "a0e8817aabf9ce27fc8adb01cf51a82521666fba2f4edbbe84bb37ddb78b4fa5c42a3212a08d70e18dbbfe2e575f7f06a47dfe65eccd8f7b",
      "outputBlockId": "7df1676284cc45c1a2f2e39cb50eeca42ca47e29da743ed8c163429e2e43ad8f",
      "outputTransactionId": "6d377b1bf996ac4a1eb30bf6effffc2eb0ab2a024a2768fc4e3766ce1f5c1cbe",
      "outputIndex": 1,
      "outputGlobalIndex": 26213961,
      "outputCreatedAt": 932298,
      "outputSettledAt": 932301,
      "ergoTree": "0008cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(42a355,5a35ff,...)))}",
      "address": "9eYtuDups24XXqzbYTn3qHoknh65EqbcFJhFU7pRNoXZo3hGish",
      "assets": [
        {
          "tokenId": "5637d8eea7f30a935b246257a5c668bac93740947e96ac086c3247d3e6d6e4e1",
          "index": 0,
          "amount": 1000,
          "name": "Call_A_fakeUSD_ERG_120649999_2023-05-05_per_1",
          "decimals": 2,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {}
    }
  ],
  "dataInputs": [],
  "outputs": [
    {
      "boxId": "1124adb3a83445f8d1e7c5a6cd2d349c50fd6c505fd3860b9563e3a0b3c268da",
      "transactionId": "6c4adb62dfdf637547209fabbaf80a12ca8b2558d76d2fd7313bd3c85ccf5614",
      "blockId": "b3b89eb9e2c67e2f81c469fc1141b3c4d3c05cc04c0bcae4a3f64aeea01990e8",
      "value": 2100000,
      "index": 0,
      "globalIndex": 26215814,
      "creationHeight": 932371,
      "settlementHeight": 932373,
      "ergoTree": "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",
      "ergoTreeConstants": "0: 3\n1: 3\n2: 0\n3: 6\n4: 0\n5: 0\n6: 0\n7: 1\n8: 0\n9: 2\n10: 0\n11: 0\n12: CBigInt(1000)\n13: CBigInt(1000000)\n14: 2\n15: 0\n16: 0\n17: 4\n18: 100\n19: 0\n20: 0\n21: 0\n22: 100\n23: 500\n24: 1000\n25: 2000\n26: 4000\n27: 9000\n28: 13000\n29: 20000\n30: 30000\n31: 40000\n32: 50000\n33: 70000\n34: 110000\n35: 140000\n36: 170000\n37: 210000\n38: 250000\n39: 300000\n40: 500000\n41: 1000000\n42: 10000000\n43: 1\n44: 0\n45: 1\n46: 0\n47: 0\n48: 1\n49: CBigInt(1)\n50: CBigInt(0)\n51: 4\n52: 0\n53: 1775840000\n54: CBigInt(0)\n55: 1\n56: CBigInt(177584)\n57: CBigInt(1)\n58: 1\n59: 0\n60: 2\n61: 177584000\n62: 10000\n63: CBigInt(100)\n64: 0\n65: Coll(102,102,102,-116,-29,83,-2,-3,20,109,20,-76,20,-126,-43,38,-21,-14,106,90,125,32,79,54,87,12,89,-59,88,19,107,-125)\n66: 30\n67: 1000000\n68: 0\n69: false\n70: 2\n71: 2\n72: 3\n73: 3\n74: 4\n75: false\n76: 0\n77: 2\n78: false",
      "ergoTreeScript": "{\n  val prop1 = SELF.R4[SigmaProp].get\n  val l2 = CONTEXT.preHeader.timestamp\n  val box3 = SELF.R5[Box].get\n  val coll4 = box3.R8[Coll[Long]].get\n  val l5 = coll4(placeholder[Int](0))\n  val coll6 = SELF.R6[Coll[Long]].get\n  val l7 = l5 - coll6(placeholder[Int](1))\n  val box8 = OUTPUTS(placeholder[Int](2))\n  val coll9 = box8.propositionBytes\n  val l10 = coll4(placeholder[Int](3))\n  val coll11 = box3.id\n  val tuple12 = (Coll[Byte](), placeholder[Long](4))\n  val tuple13 = SELF.tokens.getOrElse(placeholder[Int](5), tuple12)\n  val tuple14 = box8.tokens.getOrElse(placeholder[Int](6), tuple12)\n  val l15 = tuple14._2\n  val coll16 = SELF.R7[Coll[Byte]].get\n  val l17 = SELF.value\n  val tuple18 = OUTPUTS(placeholder[Int](7)).tokens.getOrElse(placeholder[Int](8), tuple12)\n  val l19 = tuple13._2\n  val coll20 = prop1.propBytes\n  val l21 = coll4(placeholder[Int](9))\n  val bool22 = coll4(placeholder[Int](10)) == placeholder[Long](11)\n  val bi23 = placeholder[BigInt](12)\n  val bi24 = placeholder[BigInt](13)\n  prop1 || sigmaProp(if (((l2 <= l7) && (INPUTS.size == placeholder[Int](14))) && (CONTEXT.dataInputs.size > placeholder[Int](15))) {(\n      val box25 = CONTEXT.dataInputs(placeholder[Int](16))\n      val l26 = l19 - l15\n      val l27 = box25.R4[Long].get\n      val l28 = coll4(placeholder[Int](17)) * placeholder[Long](18)\n      val l29 = if (bool22) { max(placeholder[Long](19), l27 - l28 * l21) } else { max(placeholder[Long](20), l28 - l27 * l21) }\n      val coll30 = Coll[Long](placeholder[Long](21), placeholder[Long](22), placeholder[Long](23), placeholder[Long](24), placeholder[Long](25), placeholder[Long](26), placeholder[Long](27), placeholder[Long](28), placeholder[Long](29), placeholder[Long](30), placeholder[Long](31), placeholder[Long](32), placeholder[Long](33), placeholder[Long](34), placeholder[Long](35), placeholder[Long](36), placeholder[Long](37), placeholder[Long](38), placeholder[Long](39), placeholder[Long](40), placeholder[Long](41), placeholder[Long](42))\n      val coll31 = coll30.map({(l31: Long) => l31 * l31 }).zip(coll30)\n      val func32 = {(l32: Long) =>\n        val i34 = coll31.map({(tuple34: (Long, Long)) => if (tuple34._1 >= l32) { placeholder[Long](43) } else { placeholder[Long](44) } }).indexOf(placeholder[Long](45), placeholder[Int](46))\n        val tuple35 = coll31(i34)\n        if (i34.toLong > placeholder[Long](47)) {(\n          val tuple36 = coll31(i34 - placeholder[Int](48))\n          val l37 = tuple36._2\n          val l38 = tuple36._1\n          max(placeholder[BigInt](49), l37.toBigInt + tuple35._2 - l37.toBigInt * l32 - l38.toBigInt / tuple35._1 - l38.toBigInt)\n        )} else { placeholder[BigInt](50) }\n      }\n      val bi33 = func32(l5 - l2)\n      val bi34 = placeholder[Long](51) * coll6(placeholder[Int](52)).toBigInt * l21.toBigInt * l28.toBigInt * bi33 / placeholder[Int](53).toBigInt\n      val bi35 = max(placeholder[BigInt](54), bi34 - bi34 * coll6(placeholder[Int](55)).toBigInt * func32(max(l27 - l28, l28 - l27)) * placeholder[BigInt](56) / bi23 * func32(l28) * max(placeholder[BigInt](57), bi33))\n      val bi36 = if (coll4(placeholder[Int](58)) == placeholder[Long](59)) { l29.toBigInt + bi35 } else { l29.toBigInt + bi35 + bi35 * coll6(placeholder[Int](60)).toBigInt * bi33 / placeholder[Int](61).toBigInt }\n      val bi37 = max(bi24, bi36 - bi36 % placeholder[Long](62).toBigInt)\n      val bi38 = l26.toBigInt * if (bool22) { min(l27 * l21.toBigInt, bi37) } else { min(l28 * l21.toBigInt, bi37) } / placeholder[BigInt](63)\n      (((((((((box25.tokens(placeholder[Int](64))._1 == placeholder[Coll[Byte]](65)) && (HEIGHT <= box25.R5[Int].get + placeholder[Int](66))) && if (coll9 == SELF.propositionBytes) { ((((((coll11 == tuple13._1) && (box8.value >= l10 + placeholder[Long](67))) && ((tuple14._1 == coll11) || (l15 == placeholder[Long](68)))) && (box8.R4[SigmaProp].get == prop1)) && (box8.R5[Box].get == box3)) && (box8.R6[Coll[Long]].get == coll6)) && (box8.R7[Coll[Byte]].get == coll16) } else { placeholder[Boolean](69) }) && (box8.value == l17)) && (tuple18._1 == coll11)) && (tuple18._2 == l26)) && (OUTPUTS(placeholder[Int](70)).propositionBytes == coll20)) && (OUTPUTS(placeholder[Int](71)).value.toBigInt >= max(bi24, bi38))) && (OUTPUTS(placeholder[Int](72)).propositionBytes == coll16)) && (OUTPUTS(placeholder[Int](73)).value.toBigInt >= max(bi24, bi38 * coll6(placeholder[Int](74)).toBigInt / bi23))\n    )} else { placeholder[Boolean](75) } || if ((l2 > l7) || (l19 == placeholder[Long](76))) { (((coll9 == coll20) && (box8.value >= l17 - l10)) && (tuple14 == tuple13)) && (OUTPUTS.size == placeholder[Int](77)) } else { placeholder[Boolean](78) })\n}",
      "address": "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",
      "assets": [
        {
          "tokenId": "5637d8eea7f30a935b246257a5c668bac93740947e96ac086c3247d3e6d6e4e1",
          "index": 0,
          "amount": 1000,
          "name": "Call_A_fakeUSD_ERG_120649999_2023-05-05_per_1",
          "decimals": 2,
          "type": "EIP-004"
        }
      ],
      "additionalRegisters": {
        "R4": {
          "serializedValue": "08cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
          "sigmaType": "SSigmaProp",
          "renderedValue": "02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e"
        },
        "R5": {
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    },
    {
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      "settlementHeight": 932373,
      "ergoTree": "0008cd02042a3559387831c22aaec64a86969b6f2e4b7626b3f94cbec08123c5dc88d23e",
      "ergoTreeConstants": "",
      "ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(42a355,5a35ff,...)))}",
      "address": "9eYtuDups24XXqzbYTn3qHoknh65EqbcFJhFU7pRNoXZo3hGish",
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      "spentTransactionId": "7c1cf67681352bb5d45901721df82f6032032c602f11ef9c1f44b2426489957f",
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      "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)}",
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      "mainChain": true
    }
  ],
  "size": 3115,
  "isUnconfirmed": false
}