Transaction
ID: 1b52b88268...3910
Inputs (1)
Spent
Address:
Output transaction:
Settlement height:
Value:
275.17 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0021 ERG
Tokens:
Spent
Address:
Spent in transaction:
Settlement height:
Value:
275.17 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 801,029
Total coins transferred: 275.17 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000241 ERG
Raw Transaction Data
{
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"timestamp": 1679756679715,
"index": 6,
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"numConfirmations": 801029,
"inputs": [
{
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"outputIndex": 1,
"outputGlobalIndex": 27766793,
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],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
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"transactionId": "1b52b882682225b356e45d1c968f7ef64cace8e44428f75ce9904d2aa5413910",
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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: 2\n18: 1000000\n19: 4\n20: 1000000\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: CBigInt(1)\n60: 1\n61: 0\n62: 2\n63: 177584000\n64: 10000\n65: 0\n66: Coll(-12,10,-5,111,-121,124,64,-93,12,-122,55,-35,83,98,34,114,-123,115,-127,116,21,28,-26,109,102,-124,-68,27,114,122,-74,-49)\n67: Coll(-102,6,-39,-27,69,-92,31,-43,30,-17,-4,94,32,-40,24,7,59,-8,32,-58,53,-30,-87,-39,34,38,-103,19,-32,-34,54,-99)\n68: 1000000\n69: 0\n70: false\n71: 2\n72: 2\n73: 3\n74: 3\n75: 4\n76: false\n77: 0\n78: 2\n79: 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 coll26 = box25.tokens\n val tuple27 = coll26(placeholder[Int](17))\n val l28 = l19 - l15\n val l29 = box25.value / tuple27._2 / placeholder[Long](18)\n val l30 = coll4(placeholder[Int](19)) * placeholder[Long](20)\n val l31 = if (bool22) { max(placeholder[Long](21), l29 - l30 * l21) } else { max(placeholder[Long](22), l30 - l29 * l21) }\n val coll32 = 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 coll33 = coll32.map({(l33: Long) => l33 * l33 }).zip(coll32)\n val func34 = {(l34: Long) =>\n val i36 = coll33.map({(tuple36: (Long, Long)) => if (tuple36._1 >= l34) { placeholder[Long](45) } else { placeholder[Long](46) } }).indexOf(placeholder[Long](47), placeholder[Int](48))\n val tuple37 = coll33(i36)\n if (i36.toLong > placeholder[Long](49)) {(\n val tuple38 = coll33(i36 - placeholder[Int](50))\n val l39 = tuple38._2\n val l40 = tuple38._1\n max(placeholder[BigInt](51), l39.toBigInt + tuple37._2 - l39.toBigInt * l34 - l40.toBigInt / tuple37._1 - l40.toBigInt)\n )} else { placeholder[BigInt](52) }\n }\n val bi35 = func34(l5 - l2)\n val bi36 = placeholder[Long](53) * coll6(placeholder[Int](54)).toBigInt * l21.toBigInt * l30.toBigInt * bi35 / placeholder[Int](55).toBigInt\n val bi37 = max(placeholder[BigInt](56), bi36 - bi36 * coll6(placeholder[Int](57)).toBigInt * func34(max(l29 - l30, l30 - l29)) * placeholder[BigInt](58) / bi23 * func34(l30) * max(placeholder[BigInt](59), bi35))\n val bi38 = if (coll4(placeholder[Int](60)) == placeholder[Long](61)) { l31.toBigInt + bi37 } else { l31.toBigInt + bi37 + bi37 * coll6(placeholder[Int](62)).toBigInt * bi35 / placeholder[Int](63).toBigInt }\n val bi39 = max(bi24, bi38 - bi38 % placeholder[Long](64).toBigInt)\n val bi40 = l28.toBigInt * if (bool22) { min(l29 * l21.toBigInt, bi39) } else { min(l30 * l21.toBigInt, bi39) } / bi24\n (((((((((coll26(placeholder[Int](65))._1 == placeholder[Coll[Byte]](66)) && (tuple27._1 == placeholder[Coll[Byte]](67))) && if (coll9 == SELF.propositionBytes) { ((((((coll11 == tuple13._1) && (box8.value >= l10 + placeholder[Long](68))) && ((tuple14._1 == coll11) || (l15 == placeholder[Long](69)))) && (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](70) }) && (box8.value == l17)) && (tuple18._1 == coll11)) && (tuple18._2 == l28)) && (OUTPUTS(placeholder[Int](71)).propositionBytes == coll20)) && (OUTPUTS(placeholder[Int](72)).value.toBigInt >= max(bi24, bi40))) && (OUTPUTS(placeholder[Int](73)).propositionBytes == coll16)) && (OUTPUTS(placeholder[Int](74)).value.toBigInt >= max(bi24, bi40 * coll6(placeholder[Int](75)).toBigInt / bi23))\n )} else { placeholder[Boolean](76) } || if ((l2 > l7) || (l19 == placeholder[Long](77))) { (((coll9 == coll20) && (box8.value >= l17 - l10)) && (tuple14 == tuple13)) && (OUTPUTS.size == placeholder[Int](78)) } else { placeholder[Boolean](79) })\n}",
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{
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"index": 0,
"amount": 1000000,
"name": "Put_A_SPF_ERG_43601725_2023-04-24_per_40",
"decimals": 6,
"type": "EIP-004"
}
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"additionalRegisters": {
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"sigmaType": "SSigmaProp",
"renderedValue": "029e04b6a9d6503b701a3c3dfb5e7b48132750b6858dd19b4921adc15681c19db6"
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"R5": {
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"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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{
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"index": 1,
"globalIndex": 27766796,
"creationHeight": 968056,
"settlementHeight": 968058,
"ergoTree": "0008cd029e04b6a9d6503b701a3c3dfb5e7b48132750b6858dd19b4921adc15681c19db6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9e04b6,e07274,...)))}",
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