Transaction
ID: 6854cf6493...a11b
Inputs (10)
Spent
Address:
Output transaction:
Settlement height:
Value:
6.9 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.005 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
47.4 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
7.9 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
6.9 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
39.54 ERG
Tokens:
Loading assets...
Transaction Details
Confirmations: 701,251
Total coins transferred: 54.34 ERG
Fees: 0.005 ERG
Fees per byte: 0.000001333 ERG
Raw Transaction Data
{
"id": "6854cf6493f0d6224145fbfae4e6dfa0ba95ddbbe4e029ead5a8dea1fce5a11b",
"blockId": "a0e4c69c22d43ba3793d6b072bd5ecadc92ffb18d9d3b2e6391a32fd36a99f8b",
"inclusionHeight": 1055820,
"timestamp": 1690429686073,
"index": 9,
"globalIndex": 5578181,
"numConfirmations": 701251,
"inputs": [
{
"boxId": "b8a785d159035ce436f5d8168f9907a8ecd5559356940f94b081f6adcbc1677d",
"value": 6900000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "e25c256b370cd14102e6c04d8ae43ddb1c4a798225e4c67d01336bc7f562b784",
"outputTransactionId": "9f8ade9a226529b9040887c179773a7b545d1b2fb7dfe544aebc60828635deb5",
"outputIndex": 0,
"outputGlobalIndex": 31278279,
"outputCreatedAt": 1055507,
"outputSettledAt": 1055509,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 2\n5: 0\n6: 1\n7: 0\n8: 0\n9: 0\n10: 1\n11: 3\n12: 0\n13: 3\n14: 0\n15: 2\n16: 1\n17: 1000\n18: 0\n19: 2\n20: 10\n21: 2\n22: 0\n23: 0\n24: 0\n25: 0\n26: 3\n27: 0\n28: 1000\n29: 1000\n30: 1000\n31: 0\n32: 0\n33: 2\n34: 10\n35: 3\n36: 0\n37: 1000\n38: 2\n39: 1000\n40: 0\n41: 3\n42: 3\n43: 0\n44: 0\n45: false\n46: true\n47: 1\n48: 0\n49: 1\n50: 0\n51: 0\n52: 0\n53: 0\n54: 1\n55: 0\n56: 1\n57: 2\n58: 0\n59: false\n60: 0\n61: 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 coll11 = SELF.R4[Coll[Byte]].get\n val l12 = CONTEXT.preHeader.timestamp\n val tuple13 = SELF.R5[(Long, Long)].get\n val l14 = tuple13._1\n val l15 = tuple13._2\n val box16 = CONTEXT.dataInputs(placeholder[Int](3))\n val i17 = box16.R4[Int].get\n val box18 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll19 = box18.tokens\n val l20 = box18.value\n val tuple21 = (coll2, l20)\n val tuple22 = coll19.getOrElse(placeholder[Int](5), tuple21)\n val box23 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll24 = box23.tokens\n val l25 = box23.value\n val tuple26 = (coll2, l25)\n val tuple27 = coll24.getOrElse(placeholder[Int](7), tuple26)\n val bool28 = INPUTS(placeholder[Int](8)).id == SELF.id\n val box29 = OUTPUTS(placeholder[Int](9))\n val coll30 = box29.tokens\n val l31 = box29.value\n val tuple32 = (coll2, l31)\n val tuple33 = coll30.getOrElse(placeholder[Int](10), tuple32)\n val l34 = tuple33._2\n val l35 = coll7.getOrElse(placeholder[Int](11), placeholder[Long](12))\n sigmaProp(l10 < l8) && proveDlog(decodePoint(coll11.slice(placeholder[Int](13), coll11.size))) || sigmaProp(if (l12 > l14) { if (l12 > l15) {(\n val i36 = OUTPUTS.size\n val box37 = OUTPUTS(placeholder[Int](14))\n val l38 = placeholder[Long](15) * box16.R6[Long].get\n val box39 = box18\n val coll40 = coll19\n val l41 = l20\n val tuple42 = tuple21\n val tuple43 = tuple22\n val box44 = box23\n val box45 = box44.R4[Box].getOrElse(OUTPUTS(i36 - placeholder[Int](16)))\n val opt46 = box45.R4[Int]\n val bool47 = opt46.isDefined\n val i48 = placeholder[Int](17) - i17 - if (bool47) {(\n val i48 = opt46.getOrElse(placeholder[Int](18))\n if ((i48 < placeholder[Int](19)) || (i48 >= placeholder[Int](20))) { i48 } else { if ((i48 == placeholder[Int](21)) && box45.R5[Coll[(Coll[Byte], Int)]].isDefined) { box45.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](22), {(tuple49: (Int, (Coll[Byte], Int))) => tuple49._1 + tuple49._2._2 }) } else { placeholder[Int](23) } }\n )} else { placeholder[Int](24) }\n val coll49 = coll24\n val l50 = l25\n val tuple51 = tuple26\n val tuple52 = tuple27\n val tuple53 = coll1(placeholder[Int](25))\n ((l10 < l8) && allOf(Coll[Boolean](i36 == placeholder[Int](26), box37.tokens == coll1, box37.value >= l3 - l38, box37.propositionBytes == coll11))) || ((l10 >= l8) && allOf(Coll[Boolean](bool28, ((box39.propositionBytes == coll11) && (tuple43._2 >= if (coll9.size > placeholder[Int](27)) { l10 * i48.toLong / placeholder[Long](28) } else { l10 * i48.toLong / placeholder[Long](29) - l38 })) && (tuple43._1 == coll9), ((box44.propositionBytes == box16.R5[Coll[Byte]].get) && (tuple52._2 >= l10 * i17.toLong / placeholder[Long](30))) && (tuple52._1 == coll9), tuple53 == OUTPUTS.getOrElse(placeholder[Int](31), SELF).tokens(placeholder[Int](32)), if (bool47) {(\n val i54 = opt46.get\n if ((i54 < placeholder[Int](33)) || (i54 >= placeholder[Int](34))) {(\n val box55 = OUTPUTS.getOrElse(placeholder[Int](35), SELF)\n val tuple56 = box55.tokens.getOrElse(placeholder[Int](36), (coll2, box55.value))\n ((tuple56._2 >= l10 * i54.toLong / placeholder[Long](37)) && (tuple56._1 == coll9)) && (box55.propositionBytes == box45.propositionBytes)\n )} else { if ((i54 == placeholder[Int](38)) && box45.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n val coll55 = box45.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n val i56 = coll55.size\n coll55.map({(tuple57: (Coll[Byte], Int)) => (tuple57._1, tuple57._2.toLong * l10 / placeholder[Long](39)) }).slice(placeholder[Int](40), i56) == OUTPUTS.slice(placeholder[Int](41), placeholder[Int](42) + i56).map({(box57: Box) =>\n val tuple59 = box57.tokens.getOrElse(placeholder[Int](43), (coll2, box57.value))\n if (tuple59._1 == coll9) { (box57.propositionBytes, tuple59._2) } else { (coll2, placeholder[Long](44)) }\n })\n )} else { placeholder[Boolean](45) } }\n )} else { placeholder[Boolean](46) } && (blake2b256(box45.bytes) == tuple53._1))))\n )} else {(\n val box36 = box29\n val coll37 = coll30\n val l38 = l31\n val tuple39 = tuple32\n val tuple40 = tuple33\n val coll41 = box16.R7[Coll[Long]].get\n val box42 = OUTPUTS(placeholder[Int](47))\n val tuple43 = box42.tokens.getOrElse(placeholder[Int](48), (coll2, box42.value))\n allOf(Coll[Boolean](bool28, tuple40._1 == coll9, l34 >= max(l10 + coll7(placeholder[Int](49)), l8), coll1(placeholder[Int](50)) == coll37(placeholder[Int](51)), box36.propositionBytes == SELF.propositionBytes, box36.R4[Coll[Byte]].get == coll11, box36.R5[(Long, Long)].get == (l14, if ((l35 > placeholder[Long](52)) && \n val l44 = l34\n l44 >= l35\n ) { l12 } else { if (l15 - l12 <= coll41(placeholder[Int](53))) { l15 + coll41(placeholder[Int](54)) } else { l15 } }), box36.R6[Coll[Long]] == opt6, box36.R7[Coll[Byte]].get == coll9, coll37.size == if (coll9.size == placeholder[Int](55)) { placeholder[Int](56) } else { placeholder[Int](57) }, box42.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple43._1 == coll9) && (tuple43._2 >= l10)) || (l10 == placeholder[Long](58))))\n )} } else { placeholder[Boolean](59) }) && sigmaProp(box16.tokens(placeholder[Int](60))._1 == placeholder[Coll[Byte]](61))\n}",
"address": "4eBg9MnazHt7fBGchWNqZsXszPBQSBbq1io5nXkVqdLHEAKm9hbQ4yarrfPjXRDupHeUb1U9rutPJ2vdopfjUH4ruia8cTD3XiNSx8ESs9gq6r6L6QDfm8YDA6cQhY22cyTQ2qcuiAPsbdgwZUwJiNSZq2U6vCvDYuxVWbqhgt2cerXg5LLaPu1xUwwY4FvnUjXPtxuXm7fVK4PcNqRj5Uhn1izUHKAgSrFN6MN1vDd7bJyKaXePhmzYMfWzBMF7a11F4k2KgVpNxtFZdd4LNcpjuqTr7pb88t6xp8Kqa6FkmSYCzaVajuf6BFLFyL76D7PuuKZVkYyebqMPr4Y5txrgzr9G1khjZQ1bvQUFneTtTTjyAn3JkXMRm4xovviZJdadazLgujMgrUjyPJT1JbJVeRCRPTPanjTGaEha5XMV9vneCobDDjtcQ7SxwuwhoV1vu1aBjuaBV9fEXse9qPeQ8VJGfQtQzRL5t1MMY3hq5pTF2jCNQVkZoP1mGTfSm33TpnjHntKzJkujDDNXuDUmapzNvj17YBx7fhAYA5H9fLoKnPydtVTH1vucG8TV5JVbhe6utxV2VfTSFHHXw1FxSD3r1H1zdrAtZYcyWrSCkqJJdPrwmD3WkeZRHtGcRssZY1cKUGVFP4bZaAjLLT2pa955gPfh5hrRtzT23VSBDdQ5SUrQcADbuEkVFg4rrGU5gpC8Tn8KT2rvnStZvAMwgJrSuhYVEnuHCy2uxF8Wpyikf4r6BfQUsfpKu7arxTrBeYfaafXYbXMgf5PK7fPdAqRjpW5Nw88Snyatv2YCCi3tosvV5UbCKMnUG6CCoMLh6ziaxJJgUaZaFEyofZzALMqbjh5xhLrp1U5zXZp5VUvDRpZMTnmp5hQ2Y5gsY1H8g2XjbM5J6C8F4KS4xkSKTnShePVJjApBPYm5wscwxwrAfjqF1ScgfsFirf3ebrW9Dm6wmVqBCVQbpb7kutjAeAKCYwdLLUbSZCZDqQD9HAUSjeP7QHsnjywytUMQoXZSoiLbiKz7LoDXae2midfub4YQKmdSYfuzva9Ui7VHJgT9KZbruLNKpHhWgUa1NmMGzk1SHADxDth3EM7xfQqXEoA1ne6EwEYu13Z16x96yXgkdNHutLE81GbCHqKSzUhJyKDC8HRFgV9UPv8Xtz5WWfV5ywC7ekwNMRi3azv5SKtfAgkGDTohn5GFq7X9hJzdySY9QiiCNqZ5xRYz1jugRhDyGCXSvGoY5Huru1Ar9Z6kofDS7p7mLekkQ9AbmbZBHtEHFyPBsR6h7Ti2ZT1HmcayPP1p5rehgKXgRfXsNxfXXdBmgkGK5LWjUe9L6TV9Lomi7NsJjoTNUsh6mE3xtafdvsBw3eYwDXVwPoa6G59Jk6ZhnFVUhE5VJy8MN8gQ7GYBC3YdNfSrE5vS7hLsaWcZfmnjbN1Q3xqC1TGqLJr2tCGY5p8sXwRg8N2SaGtL4vBmw65uH5fn2t2XU1aTyCcFyEtSinJ6npm8kPhFgYtGknD1uxN4NXZNKUW7uLRX4EvhEHLfptDXqyXD1KRURoESs3kqDxd4bjt4Y79Vexgf5wwXcwocepbYoFnvJbqfQYRo57kXWG6eRLhLuLN4cFLDCuzu1aZGxFh1AAnLQ5xx6a39987jUUVNsyzPPqqKyAiLFusVazUEWXxCPF9Yhxzt256QEuJDjji1DZJUd54tabSHgwLMEvNp221GuRcgD5yfvXu89zAdj7fSL",
"assets": [
{
"tokenId": "a123d6f8a9d2cd1de81c201ab4dae01c6b98a1955cef747e503bef25a1df036c",
"index": 0,
"amount": 1,
"name": "Peperg #2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "59a88b92afb262d0829e86b562",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1690387497684,1690747257000]"
},
"R6": {
"serializedValue": "110280a8d6b90780a8d6b907",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000000000,1000000000]"
},
"R8": {
"serializedValue": "0e240008cd029fbbece70965593091e35a2bece3c899ab39e0e1359f8a4e661dafa8797d89f9",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd029fbbece70965593091e35a2bece3c899ab39e0e1359f8a4e661dafa8797d89f9"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
"serializedValue": "0e240008cd03e9566dc2c13782713590509d25e0a9fae773bee9901459cfd73edb2bd53e95e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03e9566dc2c13782713590509d25e0a9fae773bee9901459cfd73edb2bd53e95e4"
}
}
},
{
"boxId": "06c50db4b16d6a0c27a9a4e8aea6376ba5820e253435d29f9cd572c88e9171b7",
"value": 5000000,
"index": 1,
"spendingProof": "b29b54784eb9aa64b00afeaa9456644ae9fd570671104fb7dcf4b7b79d99adfc1c6ea23916dd1362ece4695a58978d2d6d4fb4cc5fff839b",
"outputBlockId": "00cc6de6f9f64e3f4a20cd4fec29e537f1ec6ecead8c3bd3c06030d3b192a3c3",
"outputTransactionId": "df87d9cc3afe85d2a001bae12710159f322fba5693d782f32308be8bb5b6739a",
"outputIndex": 0,
"outputGlobalIndex": 29715152,
"outputCreatedAt": 1016731,
"outputSettledAt": 1016733,
"ergoTree": "0008cd03e6b1b34ce35f4a9982269e4760503d2dc56db823861f8702ed271fba9aa262c4",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e6b1b3,a542e2,...)))}",
"address": "9iDQTr3zgNFUakgw3aywCkyn5S5hhf7xGpTKuM89GeMLuPnuksW",
"assets": [
{
"tokenId": "c5272266f3a96f7fa0b5027a05decee5037868834b49bafed71eeb15c15c36a5",
"index": 0,
"amount": 1,
"name": " CyberAuction V3",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "e5ed9261fafd24314419a95e4caa02d8d26ab03e13240501a0f29ee3ba5cb7f1",
"value": 5000000,
"index": 2,
"spendingProof": "92627bf258cf104d4353d5fac0387ea1bdd2d68b2f6664166526a4680b7fc2a3a1d3f19858568cce8ff5fa9d758c121c548b642e6b3ec9cb",
"outputBlockId": "a68522416b50fef3bc812f5fde43bd77c2f65b1909adae9def471d6cbcaa7353",
"outputTransactionId": "cba210f199c8c4661bcbc16a3a844d1afc74a6c14603ff0c4b4b85fa5b4cb081",
"outputIndex": 1,
"outputGlobalIndex": 29959374,
"outputCreatedAt": 1022668,
"outputSettledAt": 1022672,
"ergoTree": "0008cd03e6b1b34ce35f4a9982269e4760503d2dc56db823861f8702ed271fba9aa262c4",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e6b1b3,a542e2,...)))}",
"address": "9iDQTr3zgNFUakgw3aywCkyn5S5hhf7xGpTKuM89GeMLuPnuksW",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "de79f2eda278f97e34ceefaf28b0c5342a7364caf8fcce86ba0f999593462386",
"value": 5000000,
"index": 3,
"spendingProof": "2da04aab2db423fc3266a3913a411b8ee650bc6b0083a733cf0bd4d78dc42eb5006fc49a24dd037827d0120bd849892084312e4b934865b5",
"outputBlockId": "a68522416b50fef3bc812f5fde43bd77c2f65b1909adae9def471d6cbcaa7353",
"outputTransactionId": "cba210f199c8c4661bcbc16a3a844d1afc74a6c14603ff0c4b4b85fa5b4cb081",
"outputIndex": 0,
"outputGlobalIndex": 29959373,
"outputCreatedAt": 1022668,
"outputSettledAt": 1022672,
"ergoTree": "0008cd03e6b1b34ce35f4a9982269e4760503d2dc56db823861f8702ed271fba9aa262c4",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e6b1b3,a542e2,...)))}",
"address": "9iDQTr3zgNFUakgw3aywCkyn5S5hhf7xGpTKuM89GeMLuPnuksW",
"assets": [
{
"tokenId": "b72de47fbab1025e2d92924cfad6ecd8196a06bc097429067749f9f97ac5e78a",
"index": 0,
"amount": 1,
"name": "Prolog",
"decimals": 0,
"type": "EIP-004"
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"sigmaType": "SLong",
"renderedValue": "10000000"
},
"R8": {
"serializedValue": "058084af5f",
"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
"serializedValue": "110280dddb0180fca402",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1800000,2400000]"
},
"R4": {
"serializedValue": "0428",
"sigmaType": "SInt",
"renderedValue": "20"
}
}
}
],
"outputs": [
{
"boxId": "996079c86ce45daa18cf8bf6e7d162252caaccdf0d8ca797684637f9d29d1dc5",
"transactionId": "6854cf6493f0d6224145fbfae4e6dfa0ba95ddbbe4e029ead5a8dea1fce5a11b",
"blockId": "a0e4c69c22d43ba3793d6b072bd5ecadc92ffb18d9d3b2e6391a32fd36a99f8b",
"value": 7900000000,
"index": 0,
"globalIndex": 31295453,
"creationHeight": 1055818,
"settlementHeight": 1055820,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 0\n4: 2\n5: 0\n6: 1\n7: 0\n8: 0\n9: 0\n10: 1\n11: 3\n12: 0\n13: 3\n14: 0\n15: 2\n16: 1\n17: 1000\n18: 0\n19: 2\n20: 10\n21: 2\n22: 0\n23: 0\n24: 0\n25: 0\n26: 3\n27: 0\n28: 1000\n29: 1000\n30: 1000\n31: 0\n32: 0\n33: 2\n34: 10\n35: 3\n36: 0\n37: 1000\n38: 2\n39: 1000\n40: 0\n41: 3\n42: 3\n43: 0\n44: 0\n45: false\n46: true\n47: 1\n48: 0\n49: 1\n50: 0\n51: 0\n52: 0\n53: 0\n54: 1\n55: 0\n56: 1\n57: 2\n58: 0\n59: false\n60: 0\n61: 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 coll11 = SELF.R4[Coll[Byte]].get\n val l12 = CONTEXT.preHeader.timestamp\n val tuple13 = SELF.R5[(Long, Long)].get\n val l14 = tuple13._1\n val l15 = tuple13._2\n val box16 = CONTEXT.dataInputs(placeholder[Int](3))\n val i17 = box16.R4[Int].get\n val box18 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll19 = box18.tokens\n val l20 = box18.value\n val tuple21 = (coll2, l20)\n val tuple22 = coll19.getOrElse(placeholder[Int](5), tuple21)\n val box23 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll24 = box23.tokens\n val l25 = box23.value\n val tuple26 = (coll2, l25)\n val tuple27 = coll24.getOrElse(placeholder[Int](7), tuple26)\n val bool28 = INPUTS(placeholder[Int](8)).id == SELF.id\n val box29 = OUTPUTS(placeholder[Int](9))\n val coll30 = box29.tokens\n val l31 = box29.value\n val tuple32 = (coll2, l31)\n val tuple33 = coll30.getOrElse(placeholder[Int](10), tuple32)\n val l34 = tuple33._2\n val l35 = coll7.getOrElse(placeholder[Int](11), placeholder[Long](12))\n sigmaProp(l10 < l8) && proveDlog(decodePoint(coll11.slice(placeholder[Int](13), coll11.size))) || sigmaProp(if (l12 > l14) { if (l12 > l15) {(\n val i36 = OUTPUTS.size\n val box37 = OUTPUTS(placeholder[Int](14))\n val l38 = placeholder[Long](15) * box16.R6[Long].get\n val box39 = box18\n val coll40 = coll19\n val l41 = l20\n val tuple42 = tuple21\n val tuple43 = tuple22\n val box44 = box23\n val box45 = box44.R4[Box].getOrElse(OUTPUTS(i36 - placeholder[Int](16)))\n val opt46 = box45.R4[Int]\n val bool47 = opt46.isDefined\n val i48 = placeholder[Int](17) - i17 - if (bool47) {(\n val i48 = opt46.getOrElse(placeholder[Int](18))\n if ((i48 < placeholder[Int](19)) || (i48 >= placeholder[Int](20))) { i48 } else { if ((i48 == placeholder[Int](21)) && box45.R5[Coll[(Coll[Byte], Int)]].isDefined) { box45.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]()).fold(placeholder[Int](22), {(tuple49: (Int, (Coll[Byte], Int))) => tuple49._1 + tuple49._2._2 }) } else { placeholder[Int](23) } }\n )} else { placeholder[Int](24) }\n val coll49 = coll24\n val l50 = l25\n val tuple51 = tuple26\n val tuple52 = tuple27\n val tuple53 = coll1(placeholder[Int](25))\n ((l10 < l8) && allOf(Coll[Boolean](i36 == placeholder[Int](26), box37.tokens == coll1, box37.value >= l3 - l38, box37.propositionBytes == coll11))) || ((l10 >= l8) && allOf(Coll[Boolean](bool28, ((box39.propositionBytes == coll11) && (tuple43._2 >= if (coll9.size > placeholder[Int](27)) { l10 * i48.toLong / placeholder[Long](28) } else { l10 * i48.toLong / placeholder[Long](29) - l38 })) && (tuple43._1 == coll9), ((box44.propositionBytes == box16.R5[Coll[Byte]].get) && (tuple52._2 >= l10 * i17.toLong / placeholder[Long](30))) && (tuple52._1 == coll9), tuple53 == OUTPUTS.getOrElse(placeholder[Int](31), SELF).tokens(placeholder[Int](32)), if (bool47) {(\n val i54 = opt46.get\n if ((i54 < placeholder[Int](33)) || (i54 >= placeholder[Int](34))) {(\n val box55 = OUTPUTS.getOrElse(placeholder[Int](35), SELF)\n val tuple56 = box55.tokens.getOrElse(placeholder[Int](36), (coll2, box55.value))\n ((tuple56._2 >= l10 * i54.toLong / placeholder[Long](37)) && (tuple56._1 == coll9)) && (box55.propositionBytes == box45.propositionBytes)\n )} else { if ((i54 == placeholder[Int](38)) && box45.R5[Coll[(Coll[Byte], Int)]].isDefined) {(\n val coll55 = box45.R5[Coll[(Coll[Byte], Int)]].getOrElse(Coll[(Coll[Byte], Int)]())\n val i56 = coll55.size\n coll55.map({(tuple57: (Coll[Byte], Int)) => (tuple57._1, tuple57._2.toLong * l10 / placeholder[Long](39)) }).slice(placeholder[Int](40), i56) == OUTPUTS.slice(placeholder[Int](41), placeholder[Int](42) + i56).map({(box57: Box) =>\n val tuple59 = box57.tokens.getOrElse(placeholder[Int](43), (coll2, box57.value))\n if (tuple59._1 == coll9) { (box57.propositionBytes, tuple59._2) } else { (coll2, placeholder[Long](44)) }\n })\n )} else { placeholder[Boolean](45) } }\n )} else { placeholder[Boolean](46) } && (blake2b256(box45.bytes) == tuple53._1))))\n )} else {(\n val box36 = box29\n val coll37 = coll30\n val l38 = l31\n val tuple39 = tuple32\n val tuple40 = tuple33\n val coll41 = box16.R7[Coll[Long]].get\n val box42 = OUTPUTS(placeholder[Int](47))\n val tuple43 = box42.tokens.getOrElse(placeholder[Int](48), (coll2, box42.value))\n allOf(Coll[Boolean](bool28, tuple40._1 == coll9, l34 >= max(l10 + coll7(placeholder[Int](49)), l8), coll1(placeholder[Int](50)) == coll37(placeholder[Int](51)), box36.propositionBytes == SELF.propositionBytes, box36.R4[Coll[Byte]].get == coll11, box36.R5[(Long, Long)].get == (l14, if ((l35 > placeholder[Long](52)) && \n val l44 = l34\n l44 >= l35\n ) { l12 } else { if (l15 - l12 <= coll41(placeholder[Int](53))) { l15 + coll41(placeholder[Int](54)) } else { l15 } }), box36.R6[Coll[Long]] == opt6, box36.R7[Coll[Byte]].get == coll9, coll37.size == if (coll9.size == placeholder[Int](55)) { placeholder[Int](56) } else { placeholder[Int](57) }, box42.propositionBytes == SELF.R8[Coll[Byte]].get, ((tuple43._1 == coll9) && (tuple43._2 >= l10)) || (l10 == placeholder[Long](58))))\n )} } else { placeholder[Boolean](59) }) && sigmaProp(box16.tokens(placeholder[Int](60))._1 == placeholder[Coll[Byte]](61))\n}",
"address": "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",
"assets": [
{
"tokenId": "a123d6f8a9d2cd1de81c201ab4dae01c6b98a1955cef747e503bef25a1df036c",
"index": 0,
"amount": 1,
"name": "Peperg #2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "59a88b92afb262d0829e86b562",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1690387497684,1690747257000]"
},
"R6": {
"serializedValue": "110280a8d6b90780a8d6b907",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000000000,1000000000]"
},
"R8": {
"serializedValue": "0e240008cd03e6b1b34ce35f4a9982269e4760503d2dc56db823861f8702ed271fba9aa262c4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03e6b1b34ce35f4a9982269e4760503d2dc56db823861f8702ed271fba9aa262c4"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
},
"R4": {
"serializedValue": "0e240008cd03e9566dc2c13782713590509d25e0a9fae773bee9901459cfd73edb2bd53e95e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03e9566dc2c13782713590509d25e0a9fae773bee9901459cfd73edb2bd53e95e4"
}
},
"spentTransactionId": "280cfde18de3a4e68d38e779b7d62c4f681cb0e7997d5681d09fa80499e541cd",
"mainChain": true
},
{
"boxId": "db9e9407c8a1b5176fd08b12aa677691cc02c0f5c8c566ce0d14c2d3e2fbc7be",
"transactionId": "6854cf6493f0d6224145fbfae4e6dfa0ba95ddbbe4e029ead5a8dea1fce5a11b",
"blockId": "a0e4c69c22d43ba3793d6b072bd5ecadc92ffb18d9d3b2e6391a32fd36a99f8b",
"value": 6900000000,
"index": 1,
"globalIndex": 31295454,
"creationHeight": 1055818,
"settlementHeight": 1055820,
"ergoTree": "0008cd029fbbece70965593091e35a2bece3c899ab39e0e1359f8a4e661dafa8797d89f9",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(9fbbec,f602bb,...)))}",
"address": "9fjQi1JrgFZ9QBKGbE7EYDwUwAvGUk95Wa92kV2D4EnggNcnMzN",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "fe8d4458507010d090f7bda8e30e82577b749d43448ace350249a38a7365f678",
"mainChain": true
},
{
"boxId": "ddd6a2faa1c915034399103c88b3789fd1f3946baf4dc43e182590a370246ab4",
"transactionId": "6854cf6493f0d6224145fbfae4e6dfa0ba95ddbbe4e029ead5a8dea1fce5a11b",
"blockId": "a0e4c69c22d43ba3793d6b072bd5ecadc92ffb18d9d3b2e6391a32fd36a99f8b",
"value": 5000000,
"index": 2,
"globalIndex": 31295455,
"creationHeight": 1055818,
"settlementHeight": 1055820,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"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)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "cfe6625fe0a17bd5ce76e6e39c9add89003a86aed225a0d9062a2ffc3262b781",
"mainChain": true
},
{
"boxId": "72f1cc7920bbf4396d7e4e4974251d8c5f4304f9e98547c6bd1fd243922e1bb1",
"transactionId": "6854cf6493f0d6224145fbfae4e6dfa0ba95ddbbe4e029ead5a8dea1fce5a11b",
"blockId": "a0e4c69c22d43ba3793d6b072bd5ecadc92ffb18d9d3b2e6391a32fd36a99f8b",
"value": 39535033865,
"index": 3,
"globalIndex": 31295456,
"creationHeight": 1055818,
"settlementHeight": 1055820,
"ergoTree": "0008cd03e6b1b34ce35f4a9982269e4760503d2dc56db823861f8702ed271fba9aa262c4",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e6b1b3,a542e2,...)))}",
"address": "9iDQTr3zgNFUakgw3aywCkyn5S5hhf7xGpTKuM89GeMLuPnuksW",
"assets": [
{
"tokenId": "c5272266f3a96f7fa0b5027a05decee5037868834b49bafed71eeb15c15c36a5",
"index": 0,
"amount": 1,
"name": " CyberAuction V3",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "b72de47fbab1025e2d92924cfad6ecd8196a06bc097429067749f9f97ac5e78a",
"index": 1,
"amount": 1,
"name": "Prolog",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "6efd7b36e0343096aa14eefe93711f6961118d8d18a34f9bd9b73c2d21d08e93",
"index": 2,
"amount": 1,
"name": "#21",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "077ce0370e275fb939af9e5b61e8d78e8e5c5a71050251f3326f972b32dcd44d",
"index": 3,
"amount": 1,
"name": "#23",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "924bee37e91036f66f88ec9f8842d26c0a5037bcabc3becceae27d79557586ba",
"index": 4,
"amount": 1,
"name": "#25",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4e35de6e2262b0e7a3c1a6965b86820593d332d0350cba4bf80040134c1dae41",
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