Transaction
ID: 6ea79b53d2...358a
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0021 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0061805 ERG
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0021 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0010305 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.00305 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 829,839
Total coins transferred: 0.0082805 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000349 ERG
Raw Transaction Data
{
"id": "6ea79b53d2619177058fdb2a0acad10b89501aa6dad9b4dc8bd5ee2afaef358a",
"blockId": "ff57bcd478523b477b94cab1e1019d5344830abd7d6fae4a339f16095e3427ec",
"inclusionHeight": 935955,
"timestamp": 1675866932750,
"index": 7,
"globalIndex": 4730101,
"numConfirmations": 829839,
"inputs": [
{
"boxId": "0b2c24ce1f9230a8609df994cf2bd7aae2eb77c0a6a8f513b4925dcf2d4e99d0",
"value": 2100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "7a0b8cc59f918e58042edac5b1153024bbe827b6408bf898fafb80a5b5fbcb84",
"outputTransactionId": "c8def4f371f6591a48d595dbec3d66646e0a016d36b2c6dddb06530461b92267",
"outputIndex": 0,
"outputGlobalIndex": 26361537,
"outputCreatedAt": 935807,
"outputSettledAt": 935810,
"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: 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": "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",
"assets": [
{
"tokenId": "ca62bf61759aee974b2ce7b1834bc57cb18eb97f37ad577c017308672ca88231",
"index": 0,
"amount": 5,
"name": "Call_A_COMET_ERG_7485_2023-03-10_per_5000",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R5": {
"serializedValue": "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",
"sigmaType": null,
"renderedValue": null
},
"R6": {
"serializedValue": "1105f80aa006c80180e8dd0d0a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[700,400,100,14400000,5]"
},
"R7": {
"serializedValue": "0e240008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6"
}
}
},
{
"boxId": "8d5f9e12599f1f81771d1b58432e37402e891276deb047c8ddafc4fd86807d59",
"value": 6180500,
"index": 1,
"spendingProof": null,
"outputBlockId": "81a13bb59433c31fe1149576f63fc5c630a323eae44622eff74ec805c7ccb21c",
"outputTransactionId": "13f181b1d1a4e3cc9385868119549c69ac219e412808c7da411e5c2e5425854c",
"outputIndex": 0,
"outputGlobalIndex": 26367314,
"outputCreatedAt": 935951,
"outputSettledAt": 935953,
"ergoTree": "100504020400050004020100d804d601e4c6a70408d602b2a5730000d603db63087202d604b2720373010186028300027302eb027201d19593b172037303eded93c27202d07201938c720401e4c6a7050e928c720402e4c6a706057304",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 1\n4: false",
"ergoTreeScript": "{\n val prop1 = SELF.R4[SigmaProp].get\n val box2 = OUTPUTS(placeholder[Int](0))\n val coll3 = box2.tokens\n val tuple4 = coll3.getOrElse(placeholder[Int](1), (Coll[Byte](), placeholder[Long](2)))\n prop1 || sigmaProp(\n if (coll3.size == placeholder[Int](3)) {\n ((box2.propositionBytes == prop1.propBytes) && (tuple4._1 == SELF.R5[Coll[Byte]].get)) && (tuple4._2 >= SELF.R6[Long].get)\n } else { placeholder[Boolean](4) }\n )\n}",
"address": "MZ4DGZnZL4rrxJ45amiyx8cvHrifo5PL82vwbrNEd19cMG2ALKk94md25VU8exnSexUfexvhDX8HHpUpLh3nSHno1VFt5pSoTcoHBDNzUHAGgf8N5mCD1KpG1GM1o6AKCLBKv",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "08cd02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3",
"sigmaType": "SSigmaProp",
"renderedValue": "02c35a808c1c713fc1ae169e33da7492eee8f913a2045a7d56a3ca3103b5525ff3"
},
"R5": {
"serializedValue": "0e20ca62bf61759aee974b2ce7b1834bc57cb18eb97f37ad577c017308672ca88231",
"sigmaType": "Coll[SByte]",
"renderedValue": "ca62bf61759aee974b2ce7b1834bc57cb18eb97f37ad577c017308672ca88231"
},
"R6": {
"serializedValue": "0502",
"sigmaType": "SLong",
"renderedValue": "1"
}
}
}
],
"dataInputs": [
{
"boxId": "39cb4715ad33993a4b03cb42298185608dad73b6a85192c1d87ad900d398baa7",
"value": 2525030839881,
"index": 0,
"outputBlockId": "9bae9c1e1d3021b49f6aeb5ec14a47b35b492012da19fe3bdbe52ae042936cf1",
"outputTransactionId": "00f4d691b75b8f599c0bdc4b1f6b9fa2d9425731a2fac0fab720ad2b0a493cc8",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "04ca0f",
"sigmaType": "SInt",
"renderedValue": "997"
}
}
}
],
"outputs": [
{
"boxId": "ea39e3d8389035f3afd66e601a07ba2f63e81731d15a3be21ddbe87c4b23aec2",
"transactionId": "6ea79b53d2619177058fdb2a0acad10b89501aa6dad9b4dc8bd5ee2afaef358a",
"blockId": "ff57bcd478523b477b94cab1e1019d5344830abd7d6fae4a339f16095e3427ec",
"value": 2100000,
"index": 0,
"globalIndex": 26367423,
"creationHeight": 935953,
"settlementHeight": 935955,
"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: 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": "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",
"assets": [
{
"tokenId": "ca62bf61759aee974b2ce7b1834bc57cb18eb97f37ad577c017308672ca88231",
"index": 0,
"amount": 4,
"name": "Call_A_COMET_ERG_7485_2023-03-10_per_5000",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "08cd023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508",
"sigmaType": "SSigmaProp",
"renderedValue": "023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508"
},
"R5": {
"serializedValue": "63f2ddf203103c05000400040004040400040c040a0580897a0100040004020400050004040408040204060502040205000580f0b252040204000402040605040502040404020506058092f4010502040204000100040404080402040004040400050005000402040004000402040604000100040204060580897a05020580897a04020502010005000100d82ed601db6308a7d60286028300027300d603b272017301017202d6048c720301d605e4c6a70763d606ed937204c5720593c2a7c27205d6079572067205a7d608e4c67207091ad609cdeeb27208730200d60aef7206d60bb1a5d60c93720b7303d60db2a5730400d60ec2720dd60fd07209d610c1a7d611e4c672070811d612b27211730500d613b27211730600d614c1720dd6159a72127307d616e4c67207050ed6179593720ec2a7edededed927214721593e4c6720d040ee4c67207040e93e4c6720d050e721693e4c6720d060ee4c67207060e93e4c6720d076372077308d618db6308720dd619b272187309017202d61a8c721901d61bb27218730a017202d61c8c721b01d61d93b27211730b00730cd61e8c720302d61fb27211730d00d6208c721902d621b27211730e00d622b2a5730f00d623db63087222d624db6903db6503fed625b27211731000d6269172247225d627ed720693721e7311d6289593b272117312007313eded722772268f72249a72257314ed72279072247225d629b272017315017202d62a8c722902d62b8c721b02d62cb272237316017202d62d8c722c01d62e8c722c02eb02ea027209d1eded720a720c93720e720fd1ececec95eded720a93b1a4731793720b7318ededededededed721793721499997210721272139272149c7319721593721ac5a7ecedededed721d93721c721693721b72039372209a9d721e721f731a93b17218731bededef721d93b17218731c9372209a9d99999972109c731d72127213731e9c7221721f731f93c27222b2720873200093b17223732192c172227213732295eded722893b1a4732393720b7324d806d62f95721d99722a722b9972107214d63095721d9d722f721f9d722f9c7221721fd631b2db6308b2a47325007326017202d632b2a5732700d633db63087232d634b272337328017202edededed93723095938c723101c572078c72310273297217ecededededededed721d9372037219ec93721c721693722b732a93722d721693722e722f93b17223732b92c172329c9c72307221721f93b17233732cedededededef721d92c17222722f93b17223732d938c7234017216928c7234029c7230721f93b17233732e93c27232720f93b1db6308b2a5732f007330733195ededed7206ef722793b1a4733293720b7333ededededededededed9372149999721072127334721793721a7204937220733593721b722993c27222720f93c17222733693b17223733793722d720493722e99721e7338733995eced7226ef722895721ded722793722a733aed72279372107215edededed720c93720e720f927214997210721293721a8c722901937220722a733bf18e39010cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324bd08603060e2943616c6c5f415f434f4d45545f4552475f373438355f323032332d30332d31305f7065725f353030300e200cd8c9f416e5b1ca9f986a7f10a84191dfb85941619e49e53c0dc30ebf83324b0e013063a0968001100205000502d19373007301e28f3800040e01200e01200e012063c0843d10010100d17300ce8f380000c29e8341fbb9884bc3c58559b49c529f5f9b2ff038b97f9e76976c92ba917b0f01bd0beef5b5e1eb164d6999d5d038f793954ebe93f82ea3bd0fa1b8c65edc41b10011070002904e80e0898dd961fa74a4bfde02c0a386011a0221023e90ab7c56ed970ae81ef09ad0a71278dc8b5e0e4eebce2714821d3c26efd508240008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a624b415b59868bb37a8b54e46fa23e2cdf709cfe2898166e57699d109ae57e73000",
"sigmaType": null,
"renderedValue": null
},
"R6": {
"serializedValue": "1105f80aa006c80180e8dd0d0a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[700,400,100,14400000,5]"
},
"R7": {
"serializedValue": "0e240008cd039ed9a6df20fca487da2d3b58e822cdcc5bcfad4cca794eadf132afa3113f31a6",
"sigmaType": "Coll[SByte]",
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