Transaction
ID: 5b2ca4ee13...cdcd
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
2.92 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0021 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.92 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 836,563
Total coins transferred: 2.92 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000269 ERG
Raw Transaction Data
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"index": 6,
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{
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],
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"outputs": [
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"ergoTreeConstants": "0: 3\n1: 3\n2: 0\n3: 6\n4: 0\n5: 0\n6: 0\n7: 1\n8: 0\n9: 4\n10: 2\n11: 0\n12: 0\n13: CBigInt(1000)\n14: CBigInt(1)\n15: CBigInt(1000000)\n16: 2\n17: 0\n18: 0\n19: 2\n20: 1\n21: 0\n22: 0\n23: 0\n24: 100\n25: 500\n26: 1000\n27: 2000\n28: 4000\n29: 9000\n30: 13000\n31: 20000\n32: 30000\n33: 40000\n34: 50000\n35: 70000\n36: 110000\n37: 140000\n38: 170000\n39: 210000\n40: 250000\n41: 300000\n42: 500000\n43: 1000000\n44: 10000000\n45: 1\n46: 0\n47: 1\n48: 0\n49: 0\n50: 1\n51: CBigInt(1)\n52: CBigInt(0)\n53: 4\n54: 0\n55: 1775840000\n56: CBigInt(0)\n57: 1\n58: CBigInt(177584)\n59: 1\n60: 0\n61: 2\n62: 177584000\n63: 10000\n64: 0\n65: Coll(31,1,-36,-114,41,-128,109,-106,-54,11,121,-8,-25,-104,-51,-116,-4,-27,28,14,103,106,-82,-33,106,-77,70,75,55,-38,-99,-3)\n66: Coll(12,-40,-55,-12,22,-27,-79,-54,-97,-104,106,127,16,-88,65,-111,-33,-72,89,65,97,-98,73,-27,60,13,-61,14,-65,-125,50,75)\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 l22 = coll4(placeholder[Int](10))\n val bool23 = coll4(placeholder[Int](11)) == placeholder[Long](12)\n val bi24 = placeholder[BigInt](13)\n val bi25 = placeholder[BigInt](14)\n val bi26 = placeholder[BigInt](15)\n prop1 || sigmaProp(if (((l2 <= l7) && (INPUTS.size == placeholder[Int](16))) && (CONTEXT.dataInputs.size > placeholder[Int](17))) {(\n val box27 = CONTEXT.dataInputs(placeholder[Int](18))\n val coll28 = box27.tokens\n val tuple29 = coll28(placeholder[Int](19))\n val l30 = l19 - l15\n val l31 = box27.value / tuple29._2 / placeholder[Long](20)\n val l32 = if (bool23) { max(placeholder[Long](21), l31 - l21 * l22) } else { max(placeholder[Long](22), l21 - l31 * l22) }\n val coll33 = Coll[Long](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), placeholder[Long](43), placeholder[Long](44))\n val coll34 = coll33.map({(l34: Long) => l34 * l34 }).zip(coll33)\n val func35 = {(l35: Long) =>\n val i37 = coll34.map({(tuple37: (Long, Long)) => if (tuple37._1 >= l35) { placeholder[Long](45) } else { placeholder[Long](46) } }).indexOf(placeholder[Long](47), placeholder[Int](48))\n val tuple38 = coll34(i37)\n if (i37.toLong > placeholder[Long](49)) {(\n val tuple39 = coll34(i37 - placeholder[Int](50))\n val l40 = tuple39._2\n val l41 = tuple39._1\n max(placeholder[BigInt](51), l40.toBigInt + tuple38._2 - l40.toBigInt * l35 - l41.toBigInt / tuple38._1 - l41.toBigInt)\n )} else { placeholder[BigInt](52) }\n }\n val bi36 = func35(l5 - l2)\n val bi37 = placeholder[Long](53) * coll6(placeholder[Int](54)).toBigInt * l22.toBigInt * l21.toBigInt * bi36 / placeholder[Int](55).toBigInt\n val bi38 = max(placeholder[BigInt](56), bi37 - bi37 * coll6(placeholder[Int](57)).toBigInt * func35(max(l31 - l21, l21 - l31)) * placeholder[BigInt](58) / bi24 * func35(l21) * max(bi25, bi36))\n val bi39 = if (coll4(placeholder[Int](59)) == placeholder[Long](60)) { l32.toBigInt + bi38 } else { l32.toBigInt + bi38 + bi38 * coll6(placeholder[Int](61)).toBigInt * bi36 / placeholder[Int](62).toBigInt }\n val bi40 = max(bi26, bi39 - bi39 % placeholder[Long](63).toBigInt)\n val bi41 = l30.toBigInt * if (bool23) { min(l31 * l22.toBigInt, bi40) } else { min(l21 * l22.toBigInt, bi40) } / bi25\n (((((((((coll28(placeholder[Int](64))._1 == placeholder[Coll[Byte]](65)) && (tuple29._1 == placeholder[Coll[Byte]](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 == l30)) && (OUTPUTS(placeholder[Int](70)).propositionBytes == coll20)) && (OUTPUTS(placeholder[Int](71)).value.toBigInt >= max(bi26, bi41))) && (OUTPUTS(placeholder[Int](72)).propositionBytes == coll16)) && (OUTPUTS(placeholder[Int](73)).value.toBigInt >= max(bi26, bi41 * coll6(placeholder[Int](74)).toBigInt / bi24))\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": "4tQGGLNJFJ2pSiGpQZZRxamsS2moL5vEZ2Y35pnqyjXNVdoRQgTNwcwZN2wKpHt1DAndD6pkBeuZbCEKC4khRKxFd9KEJvpEesmZUvQ2RMXTTeXXioMMonSbGHouMX5Ng6GixyNfyHWXrDUJEmbNqgcGsMxUKaab4fCgQt95GU1dgJ9XFVchpbJ62m3R9ZEEWrUPCBM5MmC57xV7uKhdJkJdw74QU6pAMeFxgru3CSTWznFm62zMx3GKeMQsVMLVuJrDkUe5jDQ8Ru5uwafpAmWPbXWv7XFV6Yx1pFJUg3q1Y5Cxi4TvYU5z6yhupeXQZgccL253TQKbFupXLzqSJ8J85QNAM3hFCg4xvVTMsdM5ovVsvSXLNXvM2VX12BR5otuJwfJVBAfYdYwPSecEbeGjoCecPS1SCw4S5rErEE8RcTEG9zn8Gpt1aKyT8qhwvvapksxcfGG5d9wCg8k3La87LW1DT5djS6nMZ9XH5zMUPuxHnMsoEj2UhQYBHyX3nuX3u8qmFb2JVgTUZqbYfu1SGHe6FTsQcTgm9e6zt8KFxzrMAk1QSHhC4FD6jS65cyWhwLVPyF2miB8KeoGLCoUdc26vhen7uDiwyz8gZZMaWcSKrVWsS45xK6vi1BNA5LrLYRE6YM8X69jXkcLdZHUgkph1Z9gjr3tCzYXXrPvUsHBLZhkaUTXzNkcnPj4LFTHLS2NGnxUcnvRDjk5eZ6mj7dDtux3HWqzf8bmdd25e4qALwRXDdmoPRw6L6MMvojHAJndjW4LEPmk3Stkffo1EHAvrDBPcmuhkzJ6tq4Lc355AykviKo7daJgN7aAwBW5r7p21RcHwuth6po9eUsp8nwJhrBDHv9CenPAtpjUTE2twL8YavVFbcDigGqQMcCa4puKsGyCmF2bfbgzSWw7R4gh2i4eb9NmaJXqSceYiqv39HDbVuaQhzhitfXXG9E15sCf7MK95F7zfmepD1uLzUbErGZGWDtDbNnVNA3QR66QkwivhHXQh6Ce1ERp3xAa7V5hNa4HnKZJLgGqNC6fCvLphUp7ZaKX883bSyTUn6VSAL414ss6oxejQT1C2CFrYceSecF8RhLSDBUeqiusYuwPgNrNyn7jyRxs2KuoiJQZpftnvF6rpg5fs5MyzkhG7hG6RwvfMG2D6BxDobHYumQq8ZHGZ9RYeiKZQuScAYsNF7JmondyYXSW97ciyCSGLskSdGxHq6auJzc5SE8bq8tjJUPpgKhqfbew8Ry93oWgSkzUnDjS2Na2UG6mf1RqZcVphH6LWrpvdtJEQXxYcoN8w4ogTMhm8iM5WEXDL4H49iBKpHkqcntyKx7sEGt8xqif4bbgBkpPvFDAz4z6aqTASnjgKdmmBQfbj1cAJTPNtZbnyQBghjohqEyHgnZ3NA5qm1Ax289QHtsiTLvB7c4HhdqRQ5reV3APRxg3Tq9fENvZB9UAeHoc68QkuPqEnFCtK29i94zAVrJiMu6zX1p9NprPf5a1Q3MYspfMicf4zJfeJtZj3Qo4jbnVUkjrtDwuY8Mjaaari32ipiqXFeATYvt7w9J3hky98aK7VZh4v7EdAmMzckYyjxZMhejr3gTj8H1g9nx22R3AzZaAXkZLdvSXArKKhB",
"assets": [
{
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"index": 0,
"amount": 3,
"name": "Call_A_COMET_ERG_6500_2023-02-06_per_5000",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
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"R5": {
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"sigmaType": null,
"renderedValue": null
},
"R6": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[500,700,100,14400000,5]"
},
"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6"
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},
"spentTransactionId": "2600b38e3d7deb6537fc95e9e66db63d035eda9898d5bf6764ad4ccdd8deb664",
"mainChain": true
},
{
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"transactionId": "5b2ca4ee13c19f7b04f7787a884a460eba25a05852293e017b9fa46b107fcdcd",
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"value": 2916320001,
"index": 1,
"globalIndex": 26318496,
"creationHeight": 934754,
"settlementHeight": 934756,
"ergoTree": "0008cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3e90ab,93deef,...)))}",
"address": "9ezcf4GFUNVreCRyuPL99ihyumrM4JNsX4Cz9w7f3YBaPQC1pt1",
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"type": "EIP-004"
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