Transaction
ID: e64c222364...61e8
Inputs (36)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.015 ERG
Tokens:
Loading assets...
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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Loading assets...
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0.015 ERG
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0.015 ERG
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Loading assets...
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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0.015 ERG
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Outputs (3)
Spent
Address:
Spent in transaction:
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Value:
0.53 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.005 ERG
Transaction Details
Confirmations: 515,380
Total coins transferred: 0.54 ERG
Fees: 0.005 ERG
Fees per byte: 0.000001049 ERG
Raw Transaction Data
{
"id": "e64c2223643abdaed1d7cf82702beb9bc37b4054451c62719d9e806a4baa61e8",
"blockId": "cb9a0e127cfee0cead078351cb8591cb7c4390c74b42af3a512485f9801834f3",
"inclusionHeight": 1252520,
"timestamp": 1714268742989,
"index": 10,
"globalIndex": 7103212,
"numConfirmations": 515380,
"inputs": [
{
"boxId": "08c76fb606d6353873554db1952d9d0f17ffe5ef44e47109df569dc586d37aec",
"value": 15000000,
"index": 0,
"spendingProof": "c9d9336b8f0a8df6fcda4ac1cdfa11046a7eef73ea2a5ddab23feff828fbceccd713c795e2947bd810c039bb4fa6d418850ba8d6b7b9670e",
"outputBlockId": "8edae8d21400483952431a5c673f6313c42b9e358a09e290521192e1060edb8e",
"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 2,
"outputGlobalIndex": 39590686,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "728f4263f075f77fdf94043c2f9fce21d7b1d6f5cbe5c1da50e818166420178d",
"index": 0,
"amount": 1,
"name": "Buster Blader Stan",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59d6f9b9e3e363d6ead4a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198888043,1714803088043]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "f2e2824aabc6772ccb51b8b0e7f6bb00c5444d2b7641416a599855decdc75b70",
"value": 15000000,
"index": 1,
"spendingProof": "177372a18d24cf75275e6ff5f0a96c5280d98f501d145b6f771b4ceaef8c00e93e07243c1830c0b223f847bc94c404fefe2e3b39f9f8b6c5",
"outputBlockId": "5dda3a3e6f0a439d6ebc83fde6f17990807ac9f10f3fe805a299e77690047171",
"outputTransactionId": "0ebc40b9c2f97986c5f1331874e799d8b2a46b7668470082d9179000fd0b6e4e",
"outputIndex": 6,
"outputGlobalIndex": 39590510,
"outputCreatedAt": 1251918,
"outputSettledAt": 1251920,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "1e64b04f8d3051e8eaedc8b270395931644517e845691de77218705f1c1ff3a6",
"index": 0,
"amount": 1,
"name": "Chelone the Bounded",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59e8d0e6e2e363e8c181a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198205492,1714802405492]"
},
"R6": {
"serializedValue": "110380d88ee16f0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "2a8dffd52ae244b08dc5e3faef31c56e5514f1b39c1226a2e597dfb91e22fdbd",
"value": 15000000,
"index": 2,
"spendingProof": "a05ec7d558fe1d615f67086c52a130a5d449cc6561f2d8684bbd01fec2ce4b0855283b3a275805b928e42c636140b6795a3f045e483cb5aa",
"outputBlockId": "5dda3a3e6f0a439d6ebc83fde6f17990807ac9f10f3fe805a299e77690047171",
"outputTransactionId": "0ebc40b9c2f97986c5f1331874e799d8b2a46b7668470082d9179000fd0b6e4e",
"outputIndex": 5,
"outputGlobalIndex": 39590509,
"outputCreatedAt": 1251918,
"outputSettledAt": 1251920,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Nassetari",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59f49de6e2e363f48e81a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198202234,1714802402234]"
},
"R6": {
"serializedValue": "110380d88ee16f0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "9e7715622395c80970ec3af2e232b3c4055bb5a8874d3baa414a0a2434a74b08",
"value": 15000000,
"index": 3,
"spendingProof": "ea3add564856201078a3db8a3c20d59d374b7c2422f0f904006a520e12d194c99fb3862b04093df381c6828f85a27c82ac717f34917027d5",
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"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 25,
"outputGlobalIndex": 39590709,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Seren's Aid",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "5986d0c4e3e36386c1dfa3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198975491,1714803175491]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "2bf01172694a66e679c4c8d57ac46c5e2cdf64a94158463cb0ab73257b0deeb7",
"value": 15000000,
"index": 4,
"spendingProof": "42f1f060d0df69e2e678925499b66ef1661dec637e2f2ee105eeab8b7c35b44c4e7ae9f182d4e50daa0b6cbbd8b951f7ca06e47ff7865763",
"outputBlockId": "5dda3a3e6f0a439d6ebc83fde6f17990807ac9f10f3fe805a299e77690047171",
"outputTransactionId": "0ebc40b9c2f97986c5f1331874e799d8b2a46b7668470082d9179000fd0b6e4e",
"outputIndex": 7,
"outputGlobalIndex": 39590511,
"outputCreatedAt": 1251918,
"outputSettledAt": 1251920,
"ergoTree": "1016040004000404040204040400040204000406040004060504040004d00f05d00f05d00f040004000400010004000e209ebcd694bf34db4ee3e2ccea0087ca42970743b9e019a1e8d145e8560467c60ed814d601e4c6a7040ed602db6903db6503fed603e4c6a70559d6048c720301d605b2db6501fe730000d606e4c672050404d607e4c6a70611d60899b272077301009c9d9972027204b27207730200b27207730300d609b2a5730401a7d60adb63087209d60b830002d60cc17209d60d8602720b720cd60eb2720a730501720dd60fe4c6a7070ed610b2a5730601a7d611db63087210d612c17210d6138602720b7212d614b272117307017213ea02eb02cdeeb472017308b17201d1959172027204959172028c720302d801d615b2a57309009683040193b1a5730a93db63087215db6308a792c1721599c1a79c730be4c67205060593c272157201d80bd6157209d616720ad617720bd618720cd619720dd61a720ed61b7210d61c7211d61d7212d61e7213d61f72149683040193c5b2a4730c00c5a7eded93c272157201928c721a029d9c72087e99730d720605730e938c721a01720feded93c2721be4c67205050e928c721f029d9c72087e720605730f938c721f01720f93b2db6308a7731000b2db6308b2a5731101a77312007313d1938cb2db63087205731400017315",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "8ad371774b6ed8b16f3cc1e2356655c2e69086c9469293d6ebcf59650a39489a",
"index": 0,
"amount": 1,
"name": "Persephone & Hades",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59ecf8e6e2e363ece981a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198208054,1714802408054]"
},
"R6": {
"serializedValue": "110380d88ee16f0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "3abd3104f80eae6b6dc475efb059c79bb3966415e7e54c5887d563f1902ed82f",
"value": 15000000,
"index": 5,
"spendingProof": "43d9066551a02785934de830a6eca0f7f88c2f266d69f414717a22b1872d675901b1685dc382c256c8d89689bdb4dec639795b47b811b343",
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"outputTransactionId": "0ebc40b9c2f97986c5f1331874e799d8b2a46b7668470082d9179000fd0b6e4e",
"outputIndex": 3,
"outputGlobalIndex": 39590507,
"outputCreatedAt": 1251918,
"outputSettledAt": 1251920,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Stella the Star Sage",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59fcd3e4e2e363fcc4ffa2e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198189310,1714802389310]"
},
"R6": {
"serializedValue": "110380d88ee16f0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "6edde1bd59a311b1dc93bc11a51f6e9a51417c4456db7e99c93345c680350042",
"value": 15000000,
"index": 6,
"spendingProof": "ed4191d7d765986cb3813d659cb05bd0730038d5bd8d238d270e7ddb0b73e98d214c8c5bf4e32cddb63b1b251eebb065e8c358e00de569e5",
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"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 13,
"outputGlobalIndex": 39590697,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Athena",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "5996a5bfe3e3639696daa3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198931787,1714803131787]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "bd5be2ca538c6e220654b97abe61c1c514b5e38d5ad0ff2c8c93999d13886fb3",
"value": 15000000,
"index": 7,
"spendingProof": "f043db061ab8806885118ec25dfe40f5cc31475e7a640c9d716e96110c2c96adbb47a0a5ecaae35038ea9615f916e2ba25f3067e68e76d59",
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"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 17,
"outputGlobalIndex": 39590701,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "634f0ce6db6e028f0e8061be5ae2ec6bddac585f1ebb83806d2364763ceaa25d",
"index": 0,
"amount": 1,
"name": "Khepri",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59feb8c1e3e363fea9dca3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198949439,1714803149439]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "8ec178fa45626ea1dc6b25251af5bf163c6587973e8f720457b58d01d6fad361",
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"index": 8,
"spendingProof": "bca51a01eb71021a17dd3faf6a802f64dbf7c178e4b1c584d7ec9678ecfdeb898b210ed78b9180f9561905e50fb8cca1fa7a8452e2083f19",
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"outputIndex": 15,
"outputGlobalIndex": 39590699,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "7kmRrLFXxVxggWEYMMiQ4rcd93a9SEKSh6MxyzNLGWHS9c9aQHVgN7gEWwUQgEgjNfX6roC2vcnL1b3wz4pcyBMfa3uYLNF15JtUuixYXNKYzAqcxALVs3gvJDkWQbtWtAeUHzbrnYyRRiFs7hGZ4Mqf8xk5gaHsdojBWVraN61kHX8iRXPyqA9JzbCsnYZ7KmxovJjco7ScaqDHgTU89uAnGqzT86tsBpigRhpj2hVXqwGKgXTWvY4x92ebwTftnHR9ftS6FhejVrVCcJ4ud92XjpVpQ9WoFqay1o4TAibydeLDoBDfVvYxTYo2Udx7CjtdLnBP38nqAamFgFWy9t48gwuhjrsTGoGGVGHAxFoPGAB62TFrpPdAJxRsw6Dyu22ToptQ5KA5D4tKco2byR6fyzRsT8U76xZux5Et2RVSwRjChyY71SiHXf7nPNVaQwxgdJf8StuiczHR1dWEcAP6RLjrBBwReX2cmoGvyRbwuHRNGUunub6yeyqRjGkNGXhb7Htc1udoSMS6K2wL1yusGMgRVjgvgY5uRvCJDDMQK4zhFVXzUJUysWdk5JcYxXUCTNxwGEwbzV42FqZAXtkV7ifNfN8E8nD12qWyqSpRghLkdXtXLJFm9vFhw1nDrb2BVVTmFgDSu4pxKVM4fJbKZqfUrJEDdpPxzmNgQE2QN",
"assets": [
{
"tokenId": "de41511a92be45adfdc021975cca8db257c3994a7c46bd10ee805b81a3eb1a1e",
"index": 0,
"amount": 1,
"name": "Sun God Ra",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59bed5c0e3e363bec6dba3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198943071,1714803143071]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "137d454c021d54c8b9f54101e53dd3ab40607ff79a7a32c9f0e42f9afa50b6bb",
"value": 15000000,
"index": 9,
"spendingProof": "62620a2929d4d6229f6e0ec38a70c77fa13e0085e257f583929a92db4e71d60675f3ec95ad41b1ba98c45beb866c9d342420d6bbe3293b7e",
"outputBlockId": "8edae8d21400483952431a5c673f6313c42b9e358a09e290521192e1060edb8e",
"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 5,
"outputGlobalIndex": 39590689,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "7kmRrLFXxVxggWEYMMiQ4rcd93a9SEKSh6MxyzNLGWHS9c9aQHVgN7gEWwUQgEgjNfX6roC2vcnL1b3wz4pcyBMfa3uYLNF15JtUuixYXNKYzAqcxALVs3gvJDkWQbtWtAeUHzbrnYyRRiFs7hGZ4Mqf8xk5gaHsdojBWVraN61kHX8iRXPyqA9JzbCsnYZ7KmxovJjco7ScaqDHgTU89uAnGqzT86tsBpigRhpj2hVXqwGKgXTWvY4x92ebwTftnHR9ftS6FhejVrVCcJ4ud92XjpVpQ9WoFqay1o4TAibydeLDoBDfVvYxTYo2Udx7CjtdLnBP38nqAamFgFWy9t48gwuhjrsTGoGGVGHAxFoPGAB62TFrpPdAJxRsw6Dyu22ToptQ5KA5D4tKco2byR6fyzRsT8U76xZux5Et2RVSwRjChyY71SiHXf7nPNVaQwxgdJf8StuiczHR1dWEcAP6RLjrBBwReX2cmoGvyRbwuHRNGUunub6yeyqRjGkNGXhb7Htc1udoSMS6K2wL1yusGMgRVjgvgY5uRvCJDDMQK4zhFVXzUJUysWdk5JcYxXUCTNxwGEwbzV42FqZAXtkV7ifNfN8E8nD12qWyqSpRghLkdXtXLJFm9vFhw1nDrb2BVVTmFgDSu4pxKVM4fJbKZqfUrJEDdpPxzmNgQE2QN",
"assets": [
{
"tokenId": "744f183a69fd33c3380250ca68e723433f2724d882c7a1fd4319d92328310fb7",
"index": 0,
"amount": 1,
"name": "Cyber Ripper",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59beddbae3e363beced5a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198894431,1714803094431]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "9ec15d3db9fb2699be48bab8219af7892cf942c8cc39d38dd23f484e4f324bfa",
"value": 15000000,
"index": 10,
"spendingProof": "bb360513f364220c1f97112e33a812c561c0d2fa666834d3ec0a29ef646ed2067ec5a6a6cefa9dd680d850d913c602b2fc24c5e113af4e71",
"outputBlockId": "5dda3a3e6f0a439d6ebc83fde6f17990807ac9f10f3fe805a299e77690047171",
"outputTransactionId": "0ebc40b9c2f97986c5f1331874e799d8b2a46b7668470082d9179000fd0b6e4e",
"outputIndex": 0,
"outputGlobalIndex": 39590504,
"outputCreatedAt": 1251918,
"outputSettledAt": 1251920,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "c318894b69c67c5096f14ba50ca5a9b427463adcc89ed7ad76d99fcb9d904b7b",
"index": 0,
"amount": 1,
"name": "T00T",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "5984e6e1e2e36384d7fca2e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198165890,1714802365890]"
},
"R6": {
"serializedValue": "110380d88ee16f0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "5adad02b9d4f9ea07737444997ed60ad74ee5f262e409c1419ec9c607eb695ea",
"value": 15000000,
"index": 11,
"spendingProof": "03a7fbeab17d1c33651d341f419cbd3f9bd30ebd8f5447521dde7363fbb93c5747115410f33247af027d198340160eaf93af5d960d45cb15",
"outputBlockId": "8edae8d21400483952431a5c673f6313c42b9e358a09e290521192e1060edb8e",
"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 22,
"outputGlobalIndex": 39590706,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Brewface Brelm",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59fed9c3e3e363fecadea3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198967935,1714803167935]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "361a0a5a5eee06e1bcd9b7a8cbfe47dc7dca67d9ed7e605816de48759ac72d9f",
"value": 15000000,
"index": 12,
"spendingProof": "98cc492843676d6bd5ce07cbfa7b822e492c7110431add9489a9167aad696af6377f0d2dc7e067e1c6d522a65e0bedf6e29147c4a94d9bde",
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"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 16,
"outputGlobalIndex": 39590700,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Anubis",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59dc8cc1e3e363dcfddba3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198946606,1714803146606]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "622ea566b3eff0222dab0f24eb8e7a9ee1f7d805f0faf80c8f417ee68838cef6",
"value": 15000000,
"index": 13,
"spendingProof": "bcaf9d4f950953a172a8acab2bf90ff671b759d6ed40c24e225d6480c0c8d7d080174f264f638fa9672412666cec211a8617ba43588f764b",
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"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 6,
"outputGlobalIndex": 39590690,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Mechagnome",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59ceb9bbe3e363ceaad6a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198900327,1714803100327]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "e38fc02c509e6f81991a98bc07c7febcc6b6d5b92d2822af01d9b5783685606a",
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"index": 14,
"spendingProof": "ac99d1477adb2e1f7441e6f7ed6e155f5a848ecff01c94b7c96406e08e58f6c0bbe5d420effb8395ed00b0635f754031025f3243e40a0da3",
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"outputGlobalIndex": 39590514,
"outputCreatedAt": 1251918,
"outputSettledAt": 1251920,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "1fc4a2cc63328c549d4d67c16cd2baf519e67cbde85cb35a17cba220dbe6b2a8",
"index": 0,
"amount": 1,
"name": "Margo",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "5992c9eae2e36392ba85a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198237769,1714802437769]"
},
"R6": {
"serializedValue": "110380d88ee16f0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "e060038385c091d5144659cb6fb2a2404232cc00a0e55db5e82283d63adc8c46",
"value": 15000000,
"index": 15,
"spendingProof": "bf68d7d0e759e69b20975f08556d2a315c827758213f2d6310bc1cd199cf9771c7065bfb9f38849e54e2b3d8550baac13325f1070627e0a6",
"outputBlockId": "8edae8d21400483952431a5c673f6313c42b9e358a09e290521192e1060edb8e",
"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 9,
"outputGlobalIndex": 39590693,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "ac99df89feb9394da305223ea1906529883b1737925a4b736e97ac13af0b970d",
"index": 0,
"amount": 1,
"name": "Umbral Barklord",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "5984dabce3e36384cbd7a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198910594,1714803110594]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "5ec9b02504f4fef8e83027a9131c864d7cdd47990482a6298797ba4bdef080b7",
"value": 15000000,
"index": 16,
"spendingProof": "663584dfcfcaf66caf06bec4abc2db49a8633ffd430dffa45bd0b14de3bf5d29fa6d65df3688172bd940016924e5981a6d8dddeb344224e1",
"outputBlockId": "5dda3a3e6f0a439d6ebc83fde6f17990807ac9f10f3fe805a299e77690047171",
"outputTransactionId": "0ebc40b9c2f97986c5f1331874e799d8b2a46b7668470082d9179000fd0b6e4e",
"outputIndex": 11,
"outputGlobalIndex": 39590515,
"outputCreatedAt": 1251918,
"outputSettledAt": 1251920,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "f5406ae064f14082803333d43086751d42afa3d66e267cb2666549b1236b992e",
"index": 0,
"amount": 1,
"name": "Mr. Sylas",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59f4f0eae2e363f4e185a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198240314,1714802440314]"
},
"R6": {
"serializedValue": "110380d88ee16f0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "a3d398bd000ed8807bde5ea7207e603d87605465c18b588b1e6536587eea71ee",
"value": 15000000,
"index": 17,
"spendingProof": "1dc542c602159deacf33043fb2eebe0d1104e1f8b43dc60bd00aa4c3aa68ccbfbb456808301dc84ee81d894ffedf5797cd29330378191cf0",
"outputBlockId": "8edae8d21400483952431a5c673f6313c42b9e358a09e290521192e1060edb8e",
"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 14,
"outputGlobalIndex": 39590698,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "8ace9d24dd83e41fb4273f73c205b9a7247239295fcf628ac65bc5d8152e4abc",
"index": 0,
"amount": 1,
"name": "Siren's Lure",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59a68fc0e3e363a680dba3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198938579,1714803138579]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "a2043dcc5757ceea5f0657972e4c8e2e55192d9ed3a70a4e3cb6a7520fc4a12c",
"value": 15000000,
"index": 18,
"spendingProof": "9a65678943e47d3cae711f4929d539081b5dc4613e445edd67b971e0f2ca24881515f1fce1f6aeb45acf7a864f7bd828d37553d8c5563397",
"outputBlockId": "8edae8d21400483952431a5c673f6313c42b9e358a09e290521192e1060edb8e",
"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 18,
"outputGlobalIndex": 39590702,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "72c101767b8592ba898d176e8e7afa8786e27692a075389f29b4e0d9db2231ee",
"index": 0,
"amount": 1,
"name": "Black Market",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59ceb8c2e3e363cea9dda3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198957607,1714803157607]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "0577f8c8d534745d286ddf34c90828df603ac4ecf6cb4622500159e5d16e8b42",
"value": 15000000,
"index": 19,
"spendingProof": "6b6686c14d0a59f2011a31e3e72b5e464392ce98faf19b9bdc5151896e401a32e554ebc7da26ac25cc0c12d34c26109633dbcb633816b138",
"outputBlockId": "8edae8d21400483952431a5c673f6313c42b9e358a09e290521192e1060edb8e",
"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 11,
"outputGlobalIndex": 39590695,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "3eeefa14ad6cd6e98ede70e7f442613748289cf13bf0832a51ec4360752866a6",
"index": 0,
"amount": 1,
"name": "Chaos Twins",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59d6b1bee3e363d6a2d9a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198924395,1714803124395]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "6efad021d4e3975ee7b9c8a2f7425a23ade384158c8d4478d1952e91bf227186",
"value": 15000000,
"index": 20,
"spendingProof": "d346faf5471413e1207c680d4765112208f7f1666c4ac75c9b66f7e252fbb574c5d19fdd3a2f0ccbbf9a4b129b19c49237b6a1b5993da7c1",
"outputBlockId": "5dda3a3e6f0a439d6ebc83fde6f17990807ac9f10f3fe805a299e77690047171",
"outputTransactionId": "0ebc40b9c2f97986c5f1331874e799d8b2a46b7668470082d9179000fd0b6e4e",
"outputIndex": 4,
"outputGlobalIndex": 39590508,
"outputCreatedAt": 1251918,
"outputSettledAt": 1251920,
"ergoTree": "1016040004000404040204040400040204000406040004060504040004d00f05d00f05d00f040004000400010004000e209ebcd694bf34db4ee3e2ccea0087ca42970743b9e019a1e8d145e8560467c60ed814d601e4c6a7040ed602db6903db6503fed603e4c6a70559d6048c720301d605b2db6501fe730000d606e4c672050404d607e4c6a70611d60899b272077301009c9d9972027204b27207730200b27207730300d609b2a5730401a7d60adb63087209d60b830002d60cc17209d60d8602720b720cd60eb2720a730501720dd60fe4c6a7070ed610b2a5730601a7d611db63087210d612c17210d6138602720b7212d614b272117307017213ea02eb02cdeeb472017308b17201d1959172027204959172028c720302d801d615b2a57309009683040193b1a5730a93db63087215db6308a792c1721599c1a79c730be4c67205060593c272157201d80bd6157209d616720ad617720bd618720cd619720dd61a720ed61b7210d61c7211d61d7212d61e7213d61f72149683040193c5b2a4730c00c5a7eded93c272157201928c721a029d9c72087e99730d720605730e938c721a01720feded93c2721be4c67205050e928c721f029d9c72087e720605730f938c721f01720f93b2db6308a7731000b2db6308b2a5731101a77312007313d1938cb2db63087205731400017315",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "836c45fa8e875ef195a42125418c6b96d7587b788d743d7bf206bdb69affbc66",
"index": 0,
"amount": 1,
"name": "Combat Cauldroneer",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59cc96e5e2e363cc8780a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198193574,1714802393574]"
},
"R6": {
"serializedValue": "110380d88ee16f0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "946a04094f23c09abe0a7d4f6c8a71fbaab3dbde1844d3c2ac7fd4b4a7916c17",
"value": 15000000,
"index": 21,
"spendingProof": "7e57dff4228cfc8c27a11d540a8b3bde62a177a615650664617d7e0cef550fb29ba027b41cdbe0b6a1abe6b8bbfb0cfa6e88c6b2f2a31af2",
"outputBlockId": "8edae8d21400483952431a5c673f6313c42b9e358a09e290521192e1060edb8e",
"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 4,
"outputGlobalIndex": 39590688,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "0845f1721d53f115374127cff8fa7f04a79d4814833f1e57ff46fb8e4f12dbee",
"index": 0,
"amount": 1,
"name": "Arms",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "599ecabae3e3639ebbd5a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198893199,1714803093199]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "103238a5db42b8cb5d9f9ec05af9173cdbb32b52d833860810bc40cda558453e",
"value": 15000000,
"index": 22,
"spendingProof": "19dd10a3d2b2b8f3b04cb6f4e27e00f9b566fc715cd7483ea6c810cdb420c9ec1abba36dc87e59d85b536e39f579392136f051f2641e0d43",
"outputBlockId": "8edae8d21400483952431a5c673f6313c42b9e358a09e290521192e1060edb8e",
"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 20,
"outputGlobalIndex": 39590704,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "03bad8f5fa20b8cf6c9c5f201f1ef772dc8f34191066180ccc47d062d1dae61b",
"index": 0,
"amount": 1,
"name": "Hell's Harlequin",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59b08cc3e3e363b0fddda3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198962968,1714803162968]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "0c4b8b799d4c622c1931a959248c6fbfa1336bcf2202a953ab301e03360ddb5f",
"value": 15000000,
"index": 23,
"spendingProof": "0144cc631566af679a67b4935359d6a9ccf1a418377e525896853f8ac0ac0b92ca3ab05235bcc204a74b6daff5ffc6b058a5d5d385a800fc",
"outputBlockId": "8edae8d21400483952431a5c673f6313c42b9e358a09e290521192e1060edb8e",
"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 21,
"outputGlobalIndex": 39590705,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "872e89550660aad511890b06bce75f8d0d964a0d65ce9c9d7e936c30833d5800",
"index": 0,
"amount": 1,
"name": "Grimm",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59beb9c3e3e363beaadea3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198965855,1714803165855]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "dc3eb88bb45aea7a0ce960a77b0381b4b88e24d62994dcd89b3caf4a7eab9a3b",
"value": 15000000,
"index": 24,
"spendingProof": "a3ee1092039e1de307db7d003474035e052b7cf1290ba0fbdaaaac9dd2a6806bde2c7e30713fa9c6c3384cffdff2efea88b9a30d92076122",
"outputBlockId": "8edae8d21400483952431a5c673f6313c42b9e358a09e290521192e1060edb8e",
"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 10,
"outputGlobalIndex": 39590694,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "9badf0db4368aa5c317ac0f294df7481dc7efddf3a798f667c8ae27854a7a353",
"index": 0,
"amount": 1,
"name": "Chained Royalty",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59eebebde3e363eeafd8a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198917047,1714803117047]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "3f66986c42e627fd7119cd2644df137730f065f00b582b63fc2b19906701abe4",
"value": 15000000,
"index": 25,
"spendingProof": "9dcf83c243158f3b6c003b107aae908b3f0158d243a6f8ba0799a8c72d60ec3fadda00b47054d857d0d8be2df4bb957d6548f53f823cbfbd",
"outputBlockId": "8edae8d21400483952431a5c673f6313c42b9e358a09e290521192e1060edb8e",
"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 23,
"outputGlobalIndex": 39590707,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "a507b6387e576f81969cc828e5410cdab64171b610fb8ed8ad379414149f493e",
"index": 0,
"amount": 1,
"name": "Marquee Fortress",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59e69cc4e3e363e68ddfa3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198972211,1714803172211]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "f22d1c6ef70631d5e5c535dfc939d36aa454f04594a05577a285b61edb014183",
"value": 15000000,
"index": 26,
"spendingProof": "0bdb51656f49815727c9141c017b310c4a4e6ed29eb21248195db741d777e5713b4e01bce6f5fb039f8e79c05a8d0eed4b309c5334314c23",
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"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 3,
"outputGlobalIndex": 39590687,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Dr. Crick",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
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"R5": {
"serializedValue": "59a49fbae3e363a490d5a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198890450,1714803090450]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "e78794107ac3441993c2db044eaaf4740a6d273c123d01bec0e1edd89bb9c920",
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"index": 27,
"spendingProof": "dfa524019e6145420fea35464224dbb442b699bf836219b9bb20a64129f7106a51803502965e1ee6b843ea38e186777b0cee1a4c5e8f16c7",
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"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 19,
"outputGlobalIndex": 39590703,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "1016040004000404040204040400040204000406040004060504040004d00f05d00f05d00f040004000400010004000e209ebcd694bf34db4ee3e2ccea0087ca42970743b9e019a1e8d145e8560467c60ed814d601e4c6a7040ed602db6903db6503fed603e4c6a70559d6048c720301d605b2db6501fe730000d606e4c672050404d607e4c6a70611d60899b272077301009c9d9972027204b27207730200b27207730300d609b2a5730401a7d60adb63087209d60b830002d60cc17209d60d8602720b720cd60eb2720a730501720dd60fe4c6a7070ed610b2a5730601a7d611db63087210d612c17210d6138602720b7212d614b272117307017213ea02eb02cdeeb472017308b17201d1959172027204959172028c720302d801d615b2a57309009683040193b1a5730a93db63087215db6308a792c1721599c1a79c730be4c67205060593c272157201d80bd6157209d616720ad617720bd618720cd619720dd61a720ed61b7210d61c7211d61d7212d61e7213d61f72149683040193c5b2a4730c00c5a7eded93c272157201928c721a029d9c72087e99730d720605730e938c721a01720feded93c2721be4c67205050e928c721f029d9c72087e720605730f938c721f01720f93b2db6308a7731000b2db6308b2a5731101a77312007313d1938cb2db63087205731400017315",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "7kmRrLFXxVxggWEYMMiQ4rcd93a9SEKSh6MxyzNLGWHS9c9aQHVgN7gEWwUQgEgjNfX6roC2vcnL1b3wz4pcyBMfa3uYLNF15JtUuixYXNKYzAqcxALVs3gvJDkWQbtWtAeUHzbrnYyRRiFs7hGZ4Mqf8xk5gaHsdojBWVraN61kHX8iRXPyqA9JzbCsnYZ7KmxovJjco7ScaqDHgTU89uAnGqzT86tsBpigRhpj2hVXqwGKgXTWvY4x92ebwTftnHR9ftS6FhejVrVCcJ4ud92XjpVpQ9WoFqay1o4TAibydeLDoBDfVvYxTYo2Udx7CjtdLnBP38nqAamFgFWy9t48gwuhjrsTGoGGVGHAxFoPGAB62TFrpPdAJxRsw6Dyu22ToptQ5KA5D4tKco2byR6fyzRsT8U76xZux5Et2RVSwRjChyY71SiHXf7nPNVaQwxgdJf8StuiczHR1dWEcAP6RLjrBBwReX2cmoGvyRbwuHRNGUunub6yeyqRjGkNGXhb7Htc1udoSMS6K2wL1yusGMgRVjgvgY5uRvCJDDMQK4zhFVXzUJUysWdk5JcYxXUCTNxwGEwbzV42FqZAXtkV7ifNfN8E8nD12qWyqSpRghLkdXtXLJFm9vFhw1nDrb2BVVTmFgDSu4pxKVM4fJbKZqfUrJEDdpPxzmNgQE2QN",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Defenders of Buchi",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
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"R5": {
"serializedValue": "59e6d0c2e3e363e6c1dda3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198959155,1714803159155]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
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"index": 28,
"spendingProof": "81aee0a5237ee43808135119b5e3d3d3bdf247cf07e08e974d70808f2428816bd8bb936b242218f27740c6e039c2297a5cd3ec21b7a1aa6f",
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"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 1,
"outputGlobalIndex": 39590685,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Mecha Margo",
"decimals": 0,
"type": "EIP-004"
}
],
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
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"R5": {
"serializedValue": "59dee6b9e3e363ded7d4a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198886831,1714803086831]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "bd4d314bbc3b0d13df032b1227aa28a7cf09b66215acd1105fa8d2351da9bd4c",
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"index": 29,
"spendingProof": "24626bab68ab85f77958e08dde412439a275d983ac6d03a54f52e6f8f29aefeba6c86a85df2c61c7c61d5a3ee5d528284cc420bffd379575",
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"outputGlobalIndex": 39590684,
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"ergoTree": "1016040004000404040204040400040204000406040004060504040004d00f05d00f05d00f040004000400010004000e209ebcd694bf34db4ee3e2ccea0087ca42970743b9e019a1e8d145e8560467c60ed814d601e4c6a7040ed602db6903db6503fed603e4c6a70559d6048c720301d605b2db6501fe730000d606e4c672050404d607e4c6a70611d60899b272077301009c9d9972027204b27207730200b27207730300d609b2a5730401a7d60adb63087209d60b830002d60cc17209d60d8602720b720cd60eb2720a730501720dd60fe4c6a7070ed610b2a5730601a7d611db63087210d612c17210d6138602720b7212d614b272117307017213ea02eb02cdeeb472017308b17201d1959172027204959172028c720302d801d615b2a57309009683040193b1a5730a93db63087215db6308a792c1721599c1a79c730be4c67205060593c272157201d80bd6157209d616720ad617720bd618720cd619720dd61a720ed61b7210d61c7211d61d7212d61e7213d61f72149683040193c5b2a4730c00c5a7eded93c272157201928c721a029d9c72087e99730d720605730e938c721a01720feded93c2721be4c67205050e928c721f029d9c72087e720605730f938c721f01720f93b2db6308a7731000b2db6308b2a5731101a77312007313d1938cb2db63087205731400017315",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Ultra Dandyblock",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "598889b9e3e36388fad3a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198880836,1714803080836]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "0cc7377df5a3dc1eb3ffd0d35d95893d358453dffb064c18bc6684963da6d6c5",
"value": 15000000,
"index": 30,
"spendingProof": "1f7e1eeb71e5aea7191419502622045f678b91b3d2090a72bf6cf3abf36fd47dfa80431fbdbf7d2fa900df90cc253841a8be3f0fc30408cf",
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"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 8,
"outputGlobalIndex": 39590692,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "5726e25de727b34754f7c50430655e57a5975b566d2a198558d8c5ce508133d9",
"index": 0,
"amount": 1,
"name": "Shadow Stalker",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59a6b5bce3e363a6a6d7a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198908243,1714803108243]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "66b1175591fc435fcd117103dae093b66cb997d3dfed7716c5ccbc5c2e900925",
"value": 15000000,
"index": 31,
"spendingProof": "10b119dd3b24373020d63d39940e827aab3ce29ce980714c938a48aebdcc5ec9021087c5ced4ac4b51f623cc3d11b92afcec8d30b4fa3d5d",
"outputBlockId": "8edae8d21400483952431a5c673f6313c42b9e358a09e290521192e1060edb8e",
"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 24,
"outputGlobalIndex": 39590708,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "573e4d4cb9333bc42c3a49d9aacad558dda895b25ef9394219850b71ff287768",
"index": 0,
"amount": 1,
"name": "Scarlet Duskblade",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59a6abc4e3e363a69cdfa3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198973139,1714803173139]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "cf466df8e99a08c1a6c227e05ec450d4ab9cf2428d308539f7294456a1129c0d",
"value": 15000000,
"index": 32,
"spendingProof": "51c25af39e75a844a08e54186a2c6b950e6e3bb843302bcc78cd428fed84b2b906766accb983f759d5eedc73bba3a7901cde285f036889b0",
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"outputTransactionId": "0ebc40b9c2f97986c5f1331874e799d8b2a46b7668470082d9179000fd0b6e4e",
"outputIndex": 9,
"outputGlobalIndex": 39590513,
"outputCreatedAt": 1251918,
"outputSettledAt": 1251920,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Imhotep's Curse",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59c4a4e8e2e363c49583a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198219042,1714802419042]"
},
"R6": {
"serializedValue": "110380d88ee16f0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "3ec762df2b5d209a303c38a00aac4e17c13af712aa412adb7d653f8f5dbd01ba",
"value": 15000000,
"index": 33,
"spendingProof": "9e8a877c0936a2ac4afd0d6fb6c385e0592cbfcdee04609ba60e954c185068bab86f0c849d301739726f3a1eb0ef5cd8a4799f3d63d1a01c",
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"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 7,
"outputGlobalIndex": 39590691,
"outputCreatedAt": 1251921,
"outputSettledAt": 1251923,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "2c6cc91540888dfe3b751e42c52bad6ac3cc6fd91d2e4583be9b465d765cecb7",
"index": 0,
"amount": 1,
"name": "Emerald Gaze Lilith",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59defdbbe3e363deeed6a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198904687,1714803104687]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "2451250a1725b923f18c52b10c0ea9a42553610581963a84c6078dd1ba8a2860",
"value": 15000000,
"index": 34,
"spendingProof": "1733ae4c2d9b7e22f811be7c6a1def13f34d3c99bb38c4694bc9a9775d398a04a4dbff05ae360da8146bbf93145d28f53d2247b63537844f",
"outputBlockId": "5dda3a3e6f0a439d6ebc83fde6f17990807ac9f10f3fe805a299e77690047171",
"outputTransactionId": "0ebc40b9c2f97986c5f1331874e799d8b2a46b7668470082d9179000fd0b6e4e",
"outputIndex": 8,
"outputGlobalIndex": 39590512,
"outputCreatedAt": 1251918,
"outputSettledAt": 1251920,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
"tokenId": "c0f2a8bf62254b86411842611089062bd63249d581b5978580295f19a833a8b7",
"index": 0,
"amount": 1,
"name": "Mios & Bast",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "598cf9e7e2e3638cea82a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198216262,1714802416262]"
},
"R6": {
"serializedValue": "110380d88ee16f0002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[15000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
},
{
"boxId": "2dea73d6b5aecf4742cec3fa3a1a1324ffb1f52a1b8e0f88f009262673388350",
"value": 15000000,
"index": 35,
"spendingProof": "e8f945940b470491c29293f6e7301fdf82426a292623e06680e903a38fec8e6a4555fdf6a7dd93b7022ad3ec4ff8fb87b6d30b1d949b56f4",
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"outputTransactionId": "8b98f42cac1d477e34814e5d7b87278643f5eec63c364dbf2be574668f0d5ad4",
"outputIndex": 12,
"outputGlobalIndex": 39590696,
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"outputSettledAt": 1251923,
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"ergoTreeConstants": "0: 0\n1: 0\n2: 2\n3: 1\n4: 2\n5: 0\n6: 1\n7: 0\n8: 3\n9: 0\n10: 3\n11: 2\n12: 0\n13: 1000\n14: 1000\n15: 1000\n16: 0\n17: 0\n18: 0\n19: false\n20: 0\n21: 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.R4[Coll[Byte]].get\n val l2 = CONTEXT.preHeader.timestamp\n val tuple3 = SELF.R5[(Long, Long)].get\n val l4 = tuple3._1\n val box5 = CONTEXT.dataInputs(placeholder[Int](0))\n val i6 = box5.R4[Int].get\n val coll7 = SELF.R6[Coll[Long]].get\n val l8 = coll7(placeholder[Int](1)) - l2 - l4 / coll7(placeholder[Int](2)) * coll7(placeholder[Int](3))\n val box9 = OUTPUTS.getOrElse(placeholder[Int](4), SELF)\n val coll10 = box9.tokens\n val coll11 = Coll[Byte]()\n val l12 = box9.value\n val tuple13 = (coll11, l12)\n val tuple14 = coll10.getOrElse(placeholder[Int](5), tuple13)\n val coll15 = SELF.R7[Coll[Byte]].get\n val box16 = OUTPUTS.getOrElse(placeholder[Int](6), SELF)\n val coll17 = box16.tokens\n val l18 = box16.value\n val tuple19 = (coll11, l18)\n val tuple20 = coll17.getOrElse(placeholder[Int](7), tuple19)\n proveDlog(decodePoint(coll1.slice(placeholder[Int](8), coll1.size))) || sigmaProp(if (l2 > l4) { if (l2 > tuple3._2) {(\n val box21 = OUTPUTS(placeholder[Int](9))\n allOf(Coll[Boolean](OUTPUTS.size == placeholder[Int](10), box21.tokens == SELF.tokens, box21.value >= SELF.value - placeholder[Long](11) * box5.R6[Long].get, box21.propositionBytes == coll1))\n )} else {(\n val box21 = box9\n val coll22 = coll10\n val coll23 = coll11\n val l24 = l12\n val tuple25 = tuple13\n val tuple26 = tuple14\n val box27 = box16\n val coll28 = coll17\n val l29 = l18\n val tuple30 = tuple19\n val tuple31 = tuple20\n allOf(Coll[Boolean](INPUTS(placeholder[Int](12)).id == SELF.id, ((box21.propositionBytes == coll1) && (tuple26._2 >= l8 * placeholder[Int](13) - i6.toLong / placeholder[Long](14))) && (tuple26._1 == coll15), ((box27.propositionBytes == box5.R5[Coll[Byte]].get) && (tuple31._2 >= l8 * i6.toLong / placeholder[Long](15))) && (tuple31._1 == coll15), SELF.tokens(placeholder[Int](16)) == OUTPUTS.getOrElse(placeholder[Int](17), SELF).tokens(placeholder[Int](18))))\n )} } else { placeholder[Boolean](19) }) && sigmaProp(box5.tokens(placeholder[Int](20))._1 == placeholder[Coll[Byte]](21))\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Winged Queen Psyche",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e240008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4"
},
"R5": {
"serializedValue": "59b68abfe3e363b6fbd9a3e863",
"sigmaType": "(SLong, SLong)",
"renderedValue": "[1714198930075,1714803130075]"
},
"R6": {
"serializedValue": "11038088e2ed600002",
"sigmaType": "Coll[SLong]",
"renderedValue": "[13000000000,0,1]"
},
"R7": {
"serializedValue": "0e00",
"sigmaType": "Coll[SByte]",
"renderedValue": ""
}
}
}
],
"dataInputs": [
{
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"value": 3219364,
"index": 0,
"outputBlockId": "0926ca09654a5cc52df11736853080d7f207e81e4f447657c7c26f2c2023f2b2",
"outputTransactionId": "a3c9f6e7ba3ef05707139ee011a82bd134591edff86f40ef6e2313e1c9c280ca",
"outputIndex": 0,
"ergoTree": "0008cd03b04048a9708f0a2b109d75513a2483e3b9ede622efb3cc03bdddf93bccd93ac5",
"address": "9hoRnjysKfkwZSCgSFNzSXMohwYn8DqruuYxD6vT7Ubw55qnwiZ",
"assets": [],
"additionalRegisters": {
"R5": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d4e3f9c9956945986a2bc2621a2fc02b9f7492fe57c87be07a33a0d7ccef5bc8"
},
"R6": {
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"sigmaType": "SLong",
"renderedValue": "10000000"
},
"R8": {
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"sigmaType": "SLong",
"renderedValue": "100000000"
},
"R7": {
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"sigmaType": "Coll[SLong]",
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},
"R4": {
"serializedValue": "043c",
"sigmaType": "SInt",
"renderedValue": "30"
}
}
}
],
"outputs": [
{
"boxId": "81be1df568d995f452b278e93e3eda527ebeef660440b6ac8bcd5103d500e338",
"transactionId": "e64c2223643abdaed1d7cf82702beb9bc37b4054451c62719d9e806a4baa61e8",
"blockId": "cb9a0e127cfee0cead078351cb8591cb7c4390c74b42af3a512485f9801834f3",
"value": 530000000,
"index": 0,
"globalIndex": 39623990,
"creationHeight": 1252518,
"settlementHeight": 1252520,
"ergoTree": "0008cd03a9baa948cae233addc3299e8f8f8427d447c7907b2c6fec7b17de3d85cfad9e4",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(a9baa9,47f6cf,...)))}",
"address": "9hkZCF68jW9aj7zNCustmtcQPQwmYF9p2sTsUeNJ9DzCrhVNG4T",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "Buster Blader Stan",
"decimals": 0,
"type": "EIP-004"
},
{
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"decimals": 0,
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},
{
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},
{
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{
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{
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"decimals": 0,
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{
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{
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{
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},
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},
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{
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{
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