Transaction
ID: 260ec9c650...8827
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
28.39 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
1.5 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.015 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
26.88 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 512,484
Total coins transferred: 28.4 ERG
Fees: 0.005 ERG
Fees per byte: 0.00000126 ERG
Raw Transaction Data
{
"id": "260ec9c6509e9a92180c4df9fb6a4137cd700d854491c9d451424d9b9ae38827",
"blockId": "5c9b047395853b933e6d74475eae974cac51e08e0797353a5b9d152e4b864eee",
"inclusionHeight": 1256106,
"timestamp": 1714704055278,
"index": 6,
"globalIndex": 7134819,
"numConfirmations": 512484,
"inputs": [
{
"boxId": "cb0ccbedcc31aa30e982eda7ced9a46275826710aa560388352465ef3c957349",
"value": 15000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "5cef4343a05f7567324d16855b37aacbed9a78042c5b0448fa0d2cc143758b3c",
"outputTransactionId": "59aaea3883f58f87e651f5a04b0c5009c0da62b6501f625908c80770d5dec48a",
"outputIndex": 4,
"outputGlobalIndex": 39693735,
"outputCreatedAt": 1254064,
"outputSettledAt": 1254068,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 2\n4: 0\n5: 0\n6: 2\n7: 0\n8: 1\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 2\n15: 1000\n16: 0\n17: 3\n18: 0\n19: 1000\n20: 1000\n21: 1000\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 1\n36: 2\n37: 0\n38: false\n39: 0\n40: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = Coll[Byte]()\n val l3 = SELF.value\n val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n val l5 = tuple4._2\n val opt6 = SELF.R6[Coll[Long]]\n val coll7 = opt6.get\n val l8 = coll7(placeholder[Int](1))\n val coll9 = SELF.R7[Coll[Byte]].get\n val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n val bool11 = l10 < l8\n val coll12 = SELF.R4[Coll[Byte]].get\n val l13 = CONTEXT.preHeader.timestamp\n val tuple14 = SELF.R5[(Long, Long)].get\n val l15 = tuple14._1\n val l16 = tuple14._2\n val l17 = coll7.getOrElse(placeholder[Int](3), placeholder[Long](4))\n val box18 = CONTEXT.dataInputs(placeholder[Int](5))\n val i19 = box18.R4[Int].get\n val box20 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll21 = box20.tokens\n val l22 = box20.value\n val tuple23 = (coll2, l22)\n val tuple24 = coll21.getOrElse(placeholder[Int](7), tuple23)\n val box25 = OUTPUTS.getOrElse(placeholder[Int](8), SELF)\n val coll26 = box25.tokens\n val l27 = box25.value\n val tuple28 = (coll2, l27)\n val tuple29 = coll26.getOrElse(placeholder[Int](9), tuple28)\n val coll30 = SELF.R8[Coll[Byte]].get\n val bool31 = INPUTS(placeholder[Int](10)).id == SELF.id\n sigmaProp(bool11) && proveDlog(decodePoint(coll12.slice(placeholder[Int](11), coll12.size))) || sigmaProp(if (l13 > l15) { if (l13 > l16) {(\n val bool32 = (l10 >= l8) || ((l17 > placeholder[Long](12)) && (l10 >= l17))\n val box33 = OUTPUTS(placeholder[Int](13))\n val l34 = placeholder[Long](14) * box18.R6[Long].get\n val box35 = box20\n val coll36 = coll21\n val l37 = l22\n val tuple38 = tuple23\n val tuple39 = tuple24\n val i40 = placeholder[Int](15) - i19\n val box41 = box25\n val coll42 = coll26\n val l43 = l27\n val tuple44 = tuple28\n val tuple45 = tuple29\n val box46 = OUTPUTS.getOrElse(placeholder[Int](16), SELF)\n ((!bool32) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](17), box33.tokens == coll1, box33.value >= l3 - l34, box33.propositionBytes == coll12))) || (bool32 && allOf(Coll[Boolean](bool31, ((box35.propositionBytes == coll12) && (tuple39._2 >= if (coll9.size > placeholder[Int](18)) { l10 * i40.toLong / placeholder[Long](19) } else { l10 * i40.toLong / placeholder[Long](20) - l34 })) && (tuple39._1 == coll9), ((box41.propositionBytes == box18.R5[Coll[Byte]].get) && (tuple45._2 >= l10 * i19.toLong / placeholder[Long](21))) && (tuple45._1 == coll9), box46.propositionBytes == coll30, coll1(placeholder[Int](22)) == box46.tokens(placeholder[Int](23)))))\n )} else {(\n val box32 = OUTPUTS(placeholder[Int](24))\n val coll33 = box32.tokens\n val tuple34 = coll33.getOrElse(placeholder[Int](25), (coll2, box32.value))\n val l35 = tuple34._2\n val bool36 = l17 > placeholder[Long](26)\n val coll37 = box18.R7[Coll[Long]].get\n val box38 = OUTPUTS(placeholder[Int](27))\n val tuple39 = box38.tokens.getOrElse(placeholder[Int](28), (coll2, box38.value))\n allOf(Coll[Boolean](bool31, tuple34._1 == coll9, (l35 >= if (bool11) { l8 } else { l10 + coll7(placeholder[Int](29)) }) || (bool36 && (l35 >= l17)), coll1(placeholder[Int](30)) == coll33(placeholder[Int](31)), box32.propositionBytes == SELF.propositionBytes, box32.R4[Coll[Byte]].get == coll12, if (bool36 && (l35 >= l17)) {(\n val tuple40 = box32.R5[(Long, Long)].get\n (tuple40._1 == l15) && (tuple40._2 <= l13)\n )} else { box32.R5[(Long, Long)].get == (l15, if (l16 - l13 <= coll37(placeholder[Int](32))) { l16 + coll37(placeholder[Int](33)) } else { l16 }) }, box32.R6[Coll[Long]] == opt6, box32.R7[Coll[Byte]].get == coll9, coll33.size == if (coll9.size == placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, box38.propositionBytes == coll30, ((tuple39._1 == coll9) && (tuple39._2 >= l10)) || (l10 == placeholder[Long](37))))\n )} } else { placeholder[Boolean](38) }) && sigmaProp(box18.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Assault of Megiddo",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "59a693f0d9e563a6848b9aea63",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714457281747,1715061481747]"
},
"R6": {
"serializedValue": "110380bcc1960b8094ebdc0380f882ad16",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1500000000,500000000,3000000000]"
},
"R8": {
"serializedValue": "0e240008cd026187b394ca027fa1314e2a6aaec18721c0d279852c5a1192a3df27b096fae763",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd026187b394ca027fa1314e2a6aaec18721c0d279852c5a1192a3df27b096fae763"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
"serializedValue": "0e240008cd026187b394ca027fa1314e2a6aaec18721c0d279852c5a1192a3df27b096fae763",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd026187b394ca027fa1314e2a6aaec18721c0d279852c5a1192a3df27b096fae763"
}
}
},
{
"boxId": "2fa9d0b27c4e559c65fbe4fdc9c9f65c3b4d575cf16426d50e8685bb568c9992",
"value": 28386373803,
"index": 1,
"spendingProof": "d6f5121d6adac1095d8dd831a219569dd76fdcc9cf789dee0f1a9c1eee34dbb1352cec14c8e5c24e8e1723d15ae23dc7ad1ded7cb5bf2f27",
"outputBlockId": "af33b2d6d87a946e130c3ee7c14443b04ba4aa2839dfbf9cc26e99e6de54eacf",
"outputTransactionId": "d22c7565ec6ae44689c0ac85a88d25784636b44e8671be5c5cdd13daf089b12f",
"outputIndex": 2,
"outputGlobalIndex": 39604041,
"outputCreatedAt": 1252148,
"outputSettledAt": 1252151,
"ergoTree": "0008cd03fcf6510ee84b0e33b119e2ed3a850d3d417d8d0e0da7c4dd6b444b18d498c6a8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(fcf651,9f563c,...)))}",
"address": "9iPDGenWXQeK8Sx4v9iyhZzvVFPCNf3aXL9xnWFU42RFYmpYfzM",
"assets": [
{
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{
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{
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"type": "EIP-004"
},
{
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"name": "Ritual Scroll #172",
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"type": "EIP-004"
},
{
"tokenId": "007fd64d1ee54d78dd269c8930a38286caa28d3f29d27cadcb796418ab15c283",
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"type": "EIP-004"
},
{
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"type": "EIP-004"
},
{
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},
{
"tokenId": "f25a2c3d9e58120965ab27b48c493bc123556fb7fcd0bff2195b544f9224d848",
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},
{
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},
{
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"type": "EIP-004"
},
{
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"index": 36,
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"type": "EIP-004"
},
{
"tokenId": "94180232cc0d91447178a0a995e2c14c57fbf03b06d5d87d5f79226094f52ffc",
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"type": "EIP-004"
},
{
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},
{
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},
{
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"index": 40,
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"type": "EIP-004"
},
{
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},
{
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"index": 42,
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"type": "EIP-004"
},
{
"tokenId": "ea57f19888955347943ecb1f9292df50931a6067ec0260528fe1c11a5ce0806f",
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"name": "EGIO Stake Key",
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"type": "EIP-004"
},
{
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},
{
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"index": 45,
"amount": 1000,
"name": "PEPERG",
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"type": "EIP-004"
},
{
"tokenId": "00b1e236b60b95c2c6f8007a9d89bc460fc9e78f98b09faec9449007b40bccf3",
"index": 46,
"amount": 20000000,
"name": "EGIO",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "b91e87b4f73c0c46672094b3b42db8921bfdbb036232397aa5052e4c29ec8422",
"index": 47,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"tokenId": "bb899ab47d9080d4b0c95ccb8f8d14d065ddb4fa0e6e1f657802fc1d318a0af1",
"index": 48,
"amount": 1,
"name": "HOT ALIENS TO F*** ON BLOCKCHAIN",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "a7f96d085ded0b04a5d07eaea42aa82c27c3575eb4bdb6ebe40dc0bee24c3888",
"index": 49,
"amount": 1,
"name": "Auction House Staker Round Vesting Key",
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"type": "EIP-004"
},
{
"tokenId": "7727b9ca047ba8267f6167f2ab12e75d53e75c874e1868241a8b11f306cfe3ae",
"index": 50,
"amount": 1,
"name": "Rush",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b7cfa3ad54b72f47c1f19ce7b9afd21577558f961d55e9cbf06664b559d6c9f7",
"index": 51,
"amount": 756709,
"name": "Ergo Inu",
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"type": "EIP-004"
},
{
"tokenId": "f0d5bdf474fcbd4249608e6dc6e9cf34a327b218f66445ea545b4c711b4676e3",
"index": 52,
"amount": 1234321,
"name": "COS",
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"type": "EIP-004"
},
{
"tokenId": "57077392cebed1b1be6a5f9a2a00790bc00b19f44fd0a043eec702dff803d551",
"index": 53,
"amount": 1,
"name": "Flame Pop #0118",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4212851208ae89b39ee0840705b2e3fda9cea0e5c170eb29b7c19592f4a1f72b",
"index": 54,
"amount": 2000,
"name": "eVOTE3",
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"type": "EIP-004"
},
{
"tokenId": "e16a9bfced0bdddd94e466bca4deffe60a0e0e5c7b33d5da9bd9c9aa35521129",
"index": 55,
"amount": 1,
"name": "6 in 1 ERGO",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "c43911a5a0c1ce61712dea6e94bbd4ba5424c10cd6c8089d4d729e85f987082e",
"index": 56,
"amount": 1,
"name": "Ergo Fly 🌱",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "fbbaac7337d051c10fc3da0ccb864f4d32d40027551e1c3ea3ce361f39b91e40",
"index": 57,
"amount": 3000,
"name": "kushti",
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"type": "EIP-004"
},
{
"tokenId": "1f649a7560f9d1b697d4225c57c9040c9101e4181dae134541ee8afec92944c5",
"index": 58,
"amount": 1000000,
"name": "catWITHbat",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "75c44ed6ab1621f6d3745e945818b4d838df20942e63a7fa05a5b6a20ec8122b",
"index": 59,
"amount": 51759418,
"name": "Peppo the Clown",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "875d200db8bd8213de876f455b12443330eaabd061858cf036d489b3b47e3dfd",
"index": 60,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "3b1dccfe89de08947fc0fe9171541ca8f629bfed1c986e91449bdb7154dc0372",
"index": 61,
"amount": 1,
"name": "Paideia Stake Key",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "96c559f706c266da43d7524a29624970c9a33c6a64d6ecaab56f1030619575cf",
"index": 62,
"amount": 267650623238,
"name": "ERG_ErgOne_LP",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "316c093af7863daa72e9bc67eaa6ba12409ed51fbadd1686795a2a6ba4a0f37b",
"index": 63,
"amount": 1,
"name": "Valley of Crypto",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "ebb40ecab7bb7d2a935024100806db04f44c62c33ae9756cf6fc4cb6b9aa2d12",
"index": 64,
"amount": 21069420,
"name": "🚬",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b4ba1a0a67f356a8595d013bc0ee5031d6d4f8ea9d05bafd4e79338acb01bb24",
"index": 65,
"amount": 50000,
"name": "EPX",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "01dce8a5632d19799950ff90bca3b5d0ca3ebfa8aaafd06f0cc6dd1e97150e7f",
"index": 66,
"amount": 558580852,
"name": "CYPX",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "6ef0423fa6840de2f921e08c9698baaf9b84d34612db9e507f5b4033425ed7a7",
"index": 67,
"amount": 152440000,
"name": "BEPOS",
"decimals": 4,
"type": "EIP-004"
},
{
"tokenId": "472c3d4ecaa08fb7392ff041ee2e6af75f4a558810a74b28600549d5392810e8",
"index": 68,
"amount": 2000000000,
"name": "NETA",
"decimals": 6,
"type": "EIP-004"
},
{
"tokenId": "2e2a68e47335e2e0afc9eed7855fc0590aa50f84daa5453f1d8e59b575d34e48",
"index": 69,
"amount": 6349406,
"name": "maff",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "02f31739e2e4937bb9afb552943753d1e3e9cdd1a5e5661949cb0cef93f907ea",
"index": 70,
"amount": 913419854,
"name": "Terahertz",
"decimals": 4,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "dc5baed8d08ae04cc52d24d6947963d70ed36721da7480180a16bcbf30882908",
"value": 3219364,
"index": 0,
"outputBlockId": "0926ca09654a5cc52df11736853080d7f207e81e4f447657c7c26f2c2023f2b2",
"outputTransactionId": "a3c9f6e7ba3ef05707139ee011a82bd134591edff86f40ef6e2313e1c9c280ca",
"outputIndex": 0,
"ergoTree": "0008cd03b04048a9708f0a2b109d75513a2483e3b9ede622efb3cc03bdddf93bccd93ac5",
"address": "9hoRnjysKfkwZSCgSFNzSXMohwYn8DqruuYxD6vT7Ubw55qnwiZ",
"assets": [],
"additionalRegisters": {
"R5": {
"serializedValue": "0e240008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8"
},
"R6": {
"serializedValue": "0580dac409",
"sigmaType": "SLong",
"renderedValue": "10000000"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "110280dddb0180fca402",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1800000,2400000]"
},
"R4": {
"serializedValue": "043c",
"sigmaType": "SInt",
"renderedValue": "30"
}
}
}
],
"outputs": [
{
"boxId": "0983f6c20f4f1b2e1f02d298e95cde87d4247f8037f010d3775ccdd5a03ff082",
"transactionId": "260ec9c6509e9a92180c4df9fb6a4137cd700d854491c9d451424d9b9ae38827",
"blockId": "5c9b047395853b933e6d74475eae974cac51e08e0797353a5b9d152e4b864eee",
"value": 1500000000,
"index": 0,
"globalIndex": 39771794,
"creationHeight": 1256104,
"settlementHeight": 1256106,
"ergoTree": "102904020400050004040500040004040400040204000400040605000400050404d00f04000406040005d00f05d00f05d00f0400040004000402050004020400040204000400040004020400040204040500010004000e209ebcd694bf34db4ee3e2ccea0087ca42970743b9e019a1e8d145e8560467c60ed81fd601db6308a7d602830002d603c1a7d604b27201730001860272027203d6058c720402d606c6a70611d607e47206d608b27207730100d609e4c6a7070ed60a95ec8f72057208948c720401720973027205d60b8f720a7208d60ce4c6a7040ed60ddb6903db6503fed60ee4c6a70559d60f8c720e01d6108c720e02d611b272077303017304d612b2db6501fe730500d613e4c672120404d614b2a5730601a7d615db63087214d616c17214d617860272027216d618b272157307017217d619b2a5730801a7d61adb63087219d61bc17219d61c86027202721bd61db2721a730901721cd61ee4c6a7080ed61f93c5b2a4730a00c5a7ea02eb02ea02d1720bcdeeb4720c730bb1720cd19591720d720f9591720d7210d80fd620ec92720a7208ed917211730c92720a7211d621b2a5730d00d6229c730ee4c672120605d6237214d6247215d6257216d6267217d6277218d62899730f7213d6297219d62a721ad62b721bd62c721cd62d721dd62eb2a5731001a7ecedef72209683040193b1a5731193db63087221720192c17221997203722293c27221720ced722096830501721feded93c27223720c928c7227029591b1720973129d9c720a7e7228057313999d9c720a7e72280573147222938c7227017209eded93c27229e4c67212050e928c722d029d9c720a7e7213057315938c722d01720993c2722e721e93b27201731600b2db6308722e731700d808d620b2a5731800d621db63087220d622b2722173190186027202c17220d6238c722202d624917211731ad625e4c672120711d626b2a5731b00d627b2db63087226731c0186027202c1722696830c01721f938c7222017209ec92722395720b72089a720ab27207731d00ed7224927223721193b27201731e00b27221731f0093c27220c2a793e4c67220040e720c95ed72249272237211d801d628e4c672200559ed938c722801720f908c722802720d93e4c6722005598602720f9590997210720db272257320009a7210b27225732100721093c672200611720693e4c67220070e720993b172219593b1720973227323732493c27226721eeced938c7227017209928c722702720a93720a73257326d1938cb2db63087212732700017328",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 2\n4: 0\n5: 0\n6: 2\n7: 0\n8: 1\n9: 0\n10: 0\n11: 3\n12: 0\n13: 0\n14: 2\n15: 1000\n16: 0\n17: 3\n18: 0\n19: 1000\n20: 1000\n21: 1000\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 1\n28: 0\n29: 1\n30: 0\n31: 0\n32: 0\n33: 1\n34: 0\n35: 1\n36: 2\n37: 0\n38: false\n39: 0\n40: Coll(-98,-68,-42,-108,-65,52,-37,78,-29,-30,-52,-22,0,-121,-54,66,-105,7,67,-71,-32,25,-95,-24,-47,69,-24,86,4,103,-58,14)",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val coll2 = Coll[Byte]()\n val l3 = SELF.value\n val tuple4 = coll1.getOrElse(placeholder[Int](0), (coll2, l3))\n val l5 = tuple4._2\n val opt6 = SELF.R6[Coll[Long]]\n val coll7 = opt6.get\n val l8 = coll7(placeholder[Int](1))\n val coll9 = SELF.R7[Coll[Byte]].get\n val l10 = if ((l5 < l8) || (tuple4._1 != coll9)) { placeholder[Long](2) } else { l5 }\n val bool11 = l10 < l8\n val coll12 = SELF.R4[Coll[Byte]].get\n val l13 = CONTEXT.preHeader.timestamp\n val tuple14 = SELF.R5[(Long, Long)].get\n val l15 = tuple14._1\n val l16 = tuple14._2\n val l17 = coll7.getOrElse(placeholder[Int](3), placeholder[Long](4))\n val box18 = CONTEXT.dataInputs(placeholder[Int](5))\n val i19 = box18.R4[Int].get\n val box20 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll21 = box20.tokens\n val l22 = box20.value\n val tuple23 = (coll2, l22)\n val tuple24 = coll21.getOrElse(placeholder[Int](7), tuple23)\n val box25 = OUTPUTS.getOrElse(placeholder[Int](8), SELF)\n val coll26 = box25.tokens\n val l27 = box25.value\n val tuple28 = (coll2, l27)\n val tuple29 = coll26.getOrElse(placeholder[Int](9), tuple28)\n val coll30 = SELF.R8[Coll[Byte]].get\n val bool31 = INPUTS(placeholder[Int](10)).id == SELF.id\n sigmaProp(bool11) && proveDlog(decodePoint(coll12.slice(placeholder[Int](11), coll12.size))) || sigmaProp(if (l13 > l15) { if (l13 > l16) {(\n val bool32 = (l10 >= l8) || ((l17 > placeholder[Long](12)) && (l10 >= l17))\n val box33 = OUTPUTS(placeholder[Int](13))\n val l34 = placeholder[Long](14) * box18.R6[Long].get\n val box35 = box20\n val coll36 = coll21\n val l37 = l22\n val tuple38 = tuple23\n val tuple39 = tuple24\n val i40 = placeholder[Int](15) - i19\n val box41 = box25\n val coll42 = coll26\n val l43 = l27\n val tuple44 = tuple28\n val tuple45 = tuple29\n val box46 = OUTPUTS.getOrElse(placeholder[Int](16), SELF)\n ((!bool32) && allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](17), box33.tokens == coll1, box33.value >= l3 - l34, box33.propositionBytes == coll12))) || (bool32 && allOf(Coll[Boolean](bool31, ((box35.propositionBytes == coll12) && (tuple39._2 >= if (coll9.size > placeholder[Int](18)) { l10 * i40.toLong / placeholder[Long](19) } else { l10 * i40.toLong / placeholder[Long](20) - l34 })) && (tuple39._1 == coll9), ((box41.propositionBytes == box18.R5[Coll[Byte]].get) && (tuple45._2 >= l10 * i19.toLong / placeholder[Long](21))) && (tuple45._1 == coll9), box46.propositionBytes == coll30, coll1(placeholder[Int](22)) == box46.tokens(placeholder[Int](23)))))\n )} else {(\n val box32 = OUTPUTS(placeholder[Int](24))\n val coll33 = box32.tokens\n val tuple34 = coll33.getOrElse(placeholder[Int](25), (coll2, box32.value))\n val l35 = tuple34._2\n val bool36 = l17 > placeholder[Long](26)\n val coll37 = box18.R7[Coll[Long]].get\n val box38 = OUTPUTS(placeholder[Int](27))\n val tuple39 = box38.tokens.getOrElse(placeholder[Int](28), (coll2, box38.value))\n allOf(Coll[Boolean](bool31, tuple34._1 == coll9, (l35 >= if (bool11) { l8 } else { l10 + coll7(placeholder[Int](29)) }) || (bool36 && (l35 >= l17)), coll1(placeholder[Int](30)) == coll33(placeholder[Int](31)), box32.propositionBytes == SELF.propositionBytes, box32.R4[Coll[Byte]].get == coll12, if (bool36 && (l35 >= l17)) {(\n val tuple40 = box32.R5[(Long, Long)].get\n (tuple40._1 == l15) && (tuple40._2 <= l13)\n )} else { box32.R5[(Long, Long)].get == (l15, if (l16 - l13 <= coll37(placeholder[Int](32))) { l16 + coll37(placeholder[Int](33)) } else { l16 }) }, box32.R6[Coll[Long]] == opt6, box32.R7[Coll[Byte]].get == coll9, coll33.size == if (coll9.size == placeholder[Int](34)) { placeholder[Int](35) } else { placeholder[Int](36) }, box38.propositionBytes == coll30, ((tuple39._1 == coll9) && (tuple39._2 >= l10)) || (l10 == placeholder[Long](37))))\n )} } else { placeholder[Boolean](38) }) && sigmaProp(box18.tokens(placeholder[Int](39))._1 == placeholder[Coll[Byte]](40))\n}",
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"assets": [
{
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"index": 0,
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"name": "Assault of Megiddo",
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"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
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"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714457281747,1715061481747]"
},
"R6": {
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"sigmaType": "Coll[SLong]",
"renderedValue": "[1500000000,500000000,3000000000]"
},
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d0dc19b5c654100a65a2f7a4369bed5501f475fc7adef9611f572306e024eabe"
},
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"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd026187b394ca027fa1314e2a6aaec18721c0d279852c5a1192a3df27b096fae763"
}
},
"spentTransactionId": "a20afbff9f5e6a7b9f1c3ed5458ff3dbc9a54039e418a66d66ec0b80a3585657",
"mainChain": true
},
{
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"index": 1,
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"creationHeight": 1256104,
"settlementHeight": 1256106,
"ergoTree": "0008cd026187b394ca027fa1314e2a6aaec18721c0d279852c5a1192a3df27b096fae763",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(6187b3,a7e935,...)))}",
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{
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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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