Transaction
ID: 3da1e4c18c...ff7b
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.102 ERG
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.1 ERG
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 900,117
Total coins transferred: 0.103 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000387 ERG
Raw Transaction Data
{
"id": "3da1e4c18ceff2be3e8916ecf96b90f008358534eb45dcd5a1d8285533bdff7b",
"blockId": "0791af108c5108413232a02e5566c9a16c634ba894e40153da3fdd7ab40c04ba",
"inclusionHeight": 873468,
"timestamp": 1668290013180,
"index": 6,
"globalIndex": 4313021,
"numConfirmations": 900117,
"inputs": [
{
"boxId": "4cd95831af64f297e896690aea7311266f3a408387e19e0a878c68c89a035244",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "3f60b652e58765e594f980c93924d92903fe6069c6477c23f64c19dd131f95d0",
"outputTransactionId": "29286c243c0a3e170d73e79a77f494e3e6e4a00df77dd621f2a9273f74a9694a",
"outputIndex": 0,
"outputGlobalIndex": 23401120,
"outputCreatedAt": 870201,
"outputSettledAt": 870203,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 1\n4: 2\n5: 2\n6: 0\n7: 0\n8: 0\n9: 1\n10: SigmaProp(ProveDlog(ECPoint(4f716d,970b15,...)))\n11: 1\n12: 1\n13: 1\n14: 2\n15: 0\n16: 0\n17: 1\n18: 0\n19: 2\n20: 0\n21: 3\n22: 0\n23: 1\n24: 1\n25: 1\n26: 1\n27: 1\n28: 0\n29: 0\n30: 1\n31: 1\n32: 2\n33: 1\n34: 1\n35: 1\n36: 1\n37: 1\n38: 2\n39: 0\n40: 3\n41: 1\n42: 1\n43: 0\n44: 2\n45: 0\n46: 1000\n47: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val l4 = tuple3._2\n val box5 = OUTPUTS(placeholder[Int](2))\n val coll6 = box5.tokens\n val tuple7 = coll6(placeholder[Int](3))\n val l8 = tuple7._2\n val bool9 = l4 == l8\n val tuple10 = coll2(placeholder[Int](4))\n val l11 = tuple10._2\n val tuple12 = coll6(placeholder[Int](5))\n val l13 = tuple12._2\n val bool14 = l11 == l13\n val coll15 = SELF.R5[Coll[Coll[Byte]]].get\n val coll16 = coll15(placeholder[Int](6))\n val coll17 = SELF.R8[Coll[Long]].get\n val opt18 = SELF.R7[Coll[Byte]]\n val bool19 = allOf(\n Coll[Boolean](\n box5.propositionBytes == box1.propositionBytes, coll6(placeholder[Int](7))._1 == coll2(\n placeholder[Int](8)\n )._1, tuple7._1 == tuple3._1, tuple12._1 == tuple10._1, box5.value == box1.value, box5.R5[Coll[Coll[Byte]]] == box1.R5[Coll[Coll[Byte]]], box5.R6[\n Coll[Byte]\n ] == box1.R6[Coll[Byte]], box5.R7[Coll[Byte]] == box1.R7[Coll[Byte]]\n )\n )\n val bool20 = allOf(Coll[Boolean](box5.R4[Coll[Long]] == box1.R4[Coll[Long]], box5.R8[Coll[Long]] == box1.R8[Coll[Long]]))\n val bool21 = l4 + placeholder[Long](9) == l8\n val bool22 = allOf(Coll[Boolean](bool21, bool14))\n if (allOf(Coll[Boolean](bool9, bool14))) { placeholder[SigmaProp](10) } else { if (allOf(Coll[Boolean](l4 - placeholder[Long](11) == l8, bool14))) {(\n val box23 = OUTPUTS(placeholder[Int](12))\n val coll24 = box23.R4[Coll[Long]].get\n val tuple25 = box23.tokens(placeholder[Int](13))\n val box26 = OUTPUTS(placeholder[Int](14))\n sigmaProp(((allOf(Coll[Boolean](coll24(placeholder[Int](15)) > placeholder[Long](16), coll24(placeholder[Int](17)) - HEIGHT.toLong > placeholder[Long](18), coll24(placeholder[Int](19)) >= placeholder[Long](20), coll24(placeholder[Int](21)) > placeholder[Long](22), tuple25._1 == box1.id, tuple25._2 == placeholder[Long](23))) && allOf(Coll[Boolean](blake2b256(box23.propositionBytes) == coll16, box26.value >= coll17(placeholder[Int](24)), box26.propositionBytes == opt18.get))) && bool19) && bool20)\n )} else { if (allOf(Coll[Boolean](bool21, l11 - placeholder[Long](25) == l13))) {(\n val box23 = INPUTS(placeholder[Int](26))\n val coll24 = box23.tokens\n val coll25 = SELF.tokens\n val box26 = OUTPUTS(placeholder[Int](27))\n val coll27 = box26.tokens\n val tuple28 = coll27(placeholder[Int](28))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](coll24(placeholder[Int](29))._1 == coll25(placeholder[Int](30))._1, blake2b256(box23.propositionBytes) == coll16)), allOf(Coll[Boolean](blake2b256(box26.propositionBytes) == coll15(placeholder[Int](31)), tuple28._1 == coll25(placeholder[Int](32))._1, tuple28._2 == placeholder[Long](33), coll27(placeholder[Int](34)) == coll24(placeholder[Int](35)))), bool19, bool20)))\n )} else { if (allOf(Coll[Boolean](bool9, l11 + placeholder[Long](36) == l13))) {(\n val box23 = INPUTS(placeholder[Int](37))\n val coll24 = box23.R9[Coll[Long]].get\n if ((box23.R4[Coll[Long]].get(placeholder[Int](38)) == placeholder[Long](39)) || allOf(Coll[Boolean](coll24(placeholder[Int](40)) < HEIGHT.toLong, box23.value < coll24(placeholder[Int](41))))) { sigmaProp(bool19 && bool20) } else {(\n val box25 = OUTPUTS(placeholder[Int](42))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](box25.propositionBytes == opt18.get, box25.tokens(placeholder[Int](43))._2 == coll24(placeholder[Int](44)) * coll17(placeholder[Int](45)) / placeholder[Long](46))), bool19, bool20)))\n )}\n )} else { if (bool22) { sigmaProp(allOf(Coll[Boolean](bool19, bool20, bool22))) } else { sigmaProp(placeholder[Boolean](47)) } } } } }\n}",
"address": "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",
"assets": [
{
"tokenId": "7dd44fba2139d5f55001467b9ce6a5403f5949fa523b7af4f761e7daa754adf7",
"index": 0,
"amount": 1,
"name": "Exle: SLT Config Box V1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4c87ac87ec4b591850ff9975fc4997aca5475162d9bbe0c2862aeee878ade6c2",
"index": 1,
"amount": 999999999,
"name": "Exle: SLT LoanBox Token V1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "690e9d5a2571a616d145bd5c3ee63f8d985f171de6cf6b48dc4d4d43b56dfd72",
"index": 2,
"amount": 999999999,
"name": "Exle: SLT RepaymentBox Token V1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1a02208f7fa21ddb05ecc867f14e510f758cd528e52f1a849ee6c7de93c59afce011e6200759e0f6a95c8ec138df47e849696b1efe7024a173d36ba7f12dfde9d7c6875f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8f7fa21ddb05ecc867f14e510f758cd528e52f1a849ee6c7de93c59afce011e6,0759e0f6a95c8ec138df47e849696b1efe7024a173d36ba7f12dfde9d7c6875f]"
},
"R6": {
"serializedValue": "0e6645786c6520534c54205365727669636520426f783a2041206c656e64696e672070726f746f636f6c20746861742070726f7669646520686973746f726963616c2077726974696e6773206f66204c6f616e7320696e207465726d73206f6620546f6b656e732e",
"sigmaType": "Coll[SByte]",
"renderedValue": "45786c6520534c54205365727669636520426f783a2041206c656e64696e672070726f746f636f6c20746861742070726f7669646520686973746f726963616c2077726974696e6773206f66204c6f616e7320696e207465726d73206f6620546f6b656e732e"
},
"R8": {
"serializedValue": "110290038084af5f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[200,100000000]"
},
"R7": {
"serializedValue": "0e240008cd024f716db88462f0c69b98d20cc281c0e51d6d1aa9ab79aa266e68b2eada18a18c",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd024f716db88462f0c69b98d20cc281c0e51d6d1aa9ab79aa266e68b2eada18a18c"
},
"R4": {
"serializedValue": "1102d6826a02",
"sigmaType": "Coll[SLong]",
"renderedValue": "[868523,1]"
}
}
},
{
"boxId": "6901a79fec05183d20a380e45732940cd28a8ee2431bd3d8b548f44feb6a1389",
"value": 102000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "3d9b1e9ed849ef84d2a9b45a3300c0443dfdbbfaa78fd7fcfd58e918562675d2",
"outputTransactionId": "61e6d4dd625c08f547f8a0afddae57a2e37931cad786370c837753340e6731a7",
"outputIndex": 0,
"outputGlobalIndex": 23552646,
"outputCreatedAt": 873464,
"outputSettledAt": 873466,
"ergoTree": "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",
"ergoTreeConstants": "0: 1\n1: 0\n2: 0\n3: 1000000\n4: 180\n5: 1\n6: 0\n7: 0\n8: Coll(125,-44,79,-70,33,57,-43,-11,80,1,70,123,-100,-26,-91,64,63,89,73,-6,82,59,122,-12,-9,97,-25,-38,-89,84,-83,-9)\n9: 0\n10: Coll(76,-121,-84,-121,-20,75,89,24,80,-1,-103,117,-4,73,-105,-84,-91,71,81,98,-39,-69,-32,-62,-122,42,-18,-24,120,-83,-26,-62)\n11: 1000000",
"ergoTreeScript": "{if (INPUTS.size == placeholder[Int](0)) {(\n val box1 = OUTPUTS(placeholder[Int](1))\n val box2 = INPUTS(placeholder[Int](2))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box1.value >= box2.value - placeholder[Long](3), box1.propositionBytes == box2.R6[Coll[Byte]].get, HEIGHT >= SELF.creationInfo._1 + placeholder[Int](4)\n )\n )\n )\n)} else {(\n val box1 = OUTPUTS(placeholder[Int](5))\n sigmaProp(\n allOf(\n Coll[Boolean](\n OUTPUTS(placeholder[Int](6)).tokens(placeholder[Int](7))._1 == placeholder[Coll[Byte]](8), box1.tokens(placeholder[Int](9))._1 == placeholder[\n Coll[Byte]\n ](10), box1.R4[Coll[Long]].get == SELF.R4[Coll[Long]].get, box1.R5[Coll[Coll[Byte]]].get == SELF.R5[Coll[Coll[Byte]]].get, box1.R6[\n Coll[Byte]\n ].get == SELF.R6[Coll[Byte]].get, box1.R7[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box1.value == placeholder[Long](11), !box1.R8[\n GroupElement\n ].isDefined\n )\n )\n )\n)}}",
"address": "K3dqkCwGHuurYhKhV2rWomdUc2dT2pVjgNqKiGQLdmZg2TYXmBAJGXAWx9wbmp4DoQC318QYq8CyhQMYR7zR5Hd5t6SVpskxV5wBSQ5tkEBpP94nT2ZRAdRgwMWwmsYtqH2XExzESmSxdVokLVdghqPou8CDAaSp9fkbf6HboJCXSvUfaYEtuHzLQazu5hH2RnGf9xrUn4cGjptNiYABm5KonvybZbrjzNLXdRARm3zbHYBJjJ8wPGCCC3y7dSVy91rzurW6crBjYmc8KbRrqYVHfk4ijeQc4SzqodwMq75Aizw9NeFNr4GnjqV5uPwqVCKNrEWkc8wA969Nug3LakNKnEkf6EuBcdMx1",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "110528c0df6ac801d00ff0cf6a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[20,874464,100,1000,873464]"
},
"R5": {
"serializedValue": "1a021a45786c652054657374204c6f616e3a204d6f6469667920426f78245468697320697320612074657374206c6f616e20776974682045786c652053797374656d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[45786c652054657374204c6f616e3a204d6f6469667920426f78,5468697320697320612074657374206c6f616e20776974682045786c652053797374656d]"
},
"R6": {
"serializedValue": "0e240008cd03d42c967425defb017df3c958cb9d31d1dd2ad8c5ee74100ff2134cafa7ce703f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d42c967425defb017df3c958cb9d31d1dd2ad8c5ee74100ff2134cafa7ce703f"
},
"R7": {
"serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"sigmaType": "Coll[SByte]",
"renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "8133d920cfa0a63f903d82330eb16badab24686156877e66e9bd30e8d84b24b9",
"transactionId": "3da1e4c18ceff2be3e8916ecf96b90f008358534eb45dcd5a1d8285533bdff7b",
"blockId": "0791af108c5108413232a02e5566c9a16c634ba894e40153da3fdd7ab40c04ba",
"value": 1000000,
"index": 0,
"globalIndex": 23552972,
"creationHeight": 873466,
"settlementHeight": 873468,
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"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 1\n4: 2\n5: 2\n6: 0\n7: 0\n8: 0\n9: 1\n10: SigmaProp(ProveDlog(ECPoint(4f716d,970b15,...)))\n11: 1\n12: 1\n13: 1\n14: 2\n15: 0\n16: 0\n17: 1\n18: 0\n19: 2\n20: 0\n21: 3\n22: 0\n23: 1\n24: 1\n25: 1\n26: 1\n27: 1\n28: 0\n29: 0\n30: 1\n31: 1\n32: 2\n33: 1\n34: 1\n35: 1\n36: 1\n37: 1\n38: 2\n39: 0\n40: 3\n41: 1\n42: 1\n43: 0\n44: 2\n45: 0\n46: 1000\n47: false",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = box1.tokens\n val tuple3 = coll2(placeholder[Int](1))\n val l4 = tuple3._2\n val box5 = OUTPUTS(placeholder[Int](2))\n val coll6 = box5.tokens\n val tuple7 = coll6(placeholder[Int](3))\n val l8 = tuple7._2\n val bool9 = l4 == l8\n val tuple10 = coll2(placeholder[Int](4))\n val l11 = tuple10._2\n val tuple12 = coll6(placeholder[Int](5))\n val l13 = tuple12._2\n val bool14 = l11 == l13\n val coll15 = SELF.R5[Coll[Coll[Byte]]].get\n val coll16 = coll15(placeholder[Int](6))\n val coll17 = SELF.R8[Coll[Long]].get\n val opt18 = SELF.R7[Coll[Byte]]\n val bool19 = allOf(\n Coll[Boolean](\n box5.propositionBytes == box1.propositionBytes, coll6(placeholder[Int](7))._1 == coll2(\n placeholder[Int](8)\n )._1, tuple7._1 == tuple3._1, tuple12._1 == tuple10._1, box5.value == box1.value, box5.R5[Coll[Coll[Byte]]] == box1.R5[Coll[Coll[Byte]]], box5.R6[\n Coll[Byte]\n ] == box1.R6[Coll[Byte]], box5.R7[Coll[Byte]] == box1.R7[Coll[Byte]]\n )\n )\n val bool20 = allOf(Coll[Boolean](box5.R4[Coll[Long]] == box1.R4[Coll[Long]], box5.R8[Coll[Long]] == box1.R8[Coll[Long]]))\n val bool21 = l4 + placeholder[Long](9) == l8\n val bool22 = allOf(Coll[Boolean](bool21, bool14))\n if (allOf(Coll[Boolean](bool9, bool14))) { placeholder[SigmaProp](10) } else { if (allOf(Coll[Boolean](l4 - placeholder[Long](11) == l8, bool14))) {(\n val box23 = OUTPUTS(placeholder[Int](12))\n val coll24 = box23.R4[Coll[Long]].get\n val tuple25 = box23.tokens(placeholder[Int](13))\n val box26 = OUTPUTS(placeholder[Int](14))\n sigmaProp(((allOf(Coll[Boolean](coll24(placeholder[Int](15)) > placeholder[Long](16), coll24(placeholder[Int](17)) - HEIGHT.toLong > placeholder[Long](18), coll24(placeholder[Int](19)) >= placeholder[Long](20), coll24(placeholder[Int](21)) > placeholder[Long](22), tuple25._1 == box1.id, tuple25._2 == placeholder[Long](23))) && allOf(Coll[Boolean](blake2b256(box23.propositionBytes) == coll16, box26.value >= coll17(placeholder[Int](24)), box26.propositionBytes == opt18.get))) && bool19) && bool20)\n )} else { if (allOf(Coll[Boolean](bool21, l11 - placeholder[Long](25) == l13))) {(\n val box23 = INPUTS(placeholder[Int](26))\n val coll24 = box23.tokens\n val coll25 = SELF.tokens\n val box26 = OUTPUTS(placeholder[Int](27))\n val coll27 = box26.tokens\n val tuple28 = coll27(placeholder[Int](28))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](coll24(placeholder[Int](29))._1 == coll25(placeholder[Int](30))._1, blake2b256(box23.propositionBytes) == coll16)), allOf(Coll[Boolean](blake2b256(box26.propositionBytes) == coll15(placeholder[Int](31)), tuple28._1 == coll25(placeholder[Int](32))._1, tuple28._2 == placeholder[Long](33), coll27(placeholder[Int](34)) == coll24(placeholder[Int](35)))), bool19, bool20)))\n )} else { if (allOf(Coll[Boolean](bool9, l11 + placeholder[Long](36) == l13))) {(\n val box23 = INPUTS(placeholder[Int](37))\n val coll24 = box23.R9[Coll[Long]].get\n if ((box23.R4[Coll[Long]].get(placeholder[Int](38)) == placeholder[Long](39)) || allOf(Coll[Boolean](coll24(placeholder[Int](40)) < HEIGHT.toLong, box23.value < coll24(placeholder[Int](41))))) { sigmaProp(bool19 && bool20) } else {(\n val box25 = OUTPUTS(placeholder[Int](42))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](box25.propositionBytes == opt18.get, box25.tokens(placeholder[Int](43))._2 == coll24(placeholder[Int](44)) * coll17(placeholder[Int](45)) / placeholder[Long](46))), bool19, bool20)))\n )}\n )} else { if (bool22) { sigmaProp(allOf(Coll[Boolean](bool19, bool20, bool22))) } else { sigmaProp(placeholder[Boolean](47)) } } } } }\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Exle: SLT Config Box V1",
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"type": "EIP-004"
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{
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"index": 1,
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"name": "Exle: SLT LoanBox Token V1",
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"index": 2,
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"name": "Exle: SLT RepaymentBox Token V1",
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"type": "EIP-004"
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"renderedValue": "45786c6520534c54205365727669636520426f783a2041206c656e64696e672070726f746f636f6c20746861742070726f7669646520686973746f726963616c2077726974696e6773206f66204c6f616e7320696e207465726d73206f6620546f6b656e732e"
},
"R8": {
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"sigmaType": "Coll[SLong]",
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"sigmaType": "Coll[SByte]",
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"sigmaType": "Coll[SLong]",
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"ergoTreeConstants": "0: 2\n1: 0\n2: 2\n3: 1\n4: 0\n5: 1\n6: Coll(125,-44,79,-70,33,57,-43,-11,80,1,70,123,-100,-26,-91,64,63,89,73,-6,82,59,122,-12,-9,97,-25,-38,-89,84,-83,-9)\n7: 1\n8: 0\n9: 1\n10: 0\n11: 0\n12: 3000000\n13: 2\n14: 0\n15: 2\n16: 1\n17: 0\n18: 2\n19: 1000\n20: Coll(105,14,-99,90,37,113,-90,22,-47,69,-67,92,62,-26,63,-115,-104,95,23,29,-26,-49,107,72,-36,77,77,67,-75,109,-3,114)\n21: 1\n22: 1\n23: 2\n24: 3\n25: 3\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0\n31: 2\n32: true\n33: 0\n34: 0\n35: 1\n36: 0\n37: 2\n38: 0\n39: 3\n40: 0\n41: 1\n42: 0\n43: 0\n44: 1\n45: 1000000\n46: 2\n47: 3000000",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 > placeholder[Int](0)\n val opt4 = SELF.R4[Coll[Long]]\n val coll5 = opt4.get\n val l6 = coll5(placeholder[Int](1))\n val bool7 = bool3 && (coll1.getOrElse(placeholder[Int](2), (Coll[Byte](placeholder[Byte](3)), placeholder[Long](4)))._2 == l6)\n val opt8 = SELF.R8[Coll[Byte]]\n val bool9 = opt8.isDefined\n val l10 = SELF.value\n val opt11 = SELF.R6[Coll[Byte]]\n val coll12 = opt11.get\n val opt13 = SELF.R5[Coll[Coll[Byte]]]\n val opt14 = SELF.R7[Coll[Byte]]\n val l15 = coll5(placeholder[Int](5))\n val coll16 = placeholder[Coll[Byte]](6)\n val tuple17 = coll1(placeholder[Int](7))\n val l18 = HEIGHT.toLong\n val bool19 = l18 > l15\n val box20 = OUTPUTS(placeholder[Int](8))\n val opt21 = box20.R4[Coll[Long]]\n val coll22 = box20.tokens\n val tuple23 = coll22(placeholder[Int](9))\n val opt24 = box20.R5[Coll[Coll[Byte]]]\n val tuple25 = coll1(placeholder[Int](10))\n val tuple26 = coll22(placeholder[Int](11))\n val coll27 = SELF.propositionBytes\n val coll28 = box20.propositionBytes\n val opt29 = box20.R6[Coll[Byte]]\n val bool30 = !bool9\n val opt31 = box20.R7[Coll[Byte]]\n val bool32 = allOf(\n Coll[Boolean](\n i2 == coll22.size, tuple25 == tuple26, tuple17 == tuple23, coll27 == coll28, coll12 == opt29.get, bool30, anyOf(\n Coll[Boolean](opt4 != opt21, opt13 != opt24, opt14 != opt31)\n )\n )\n )\n if ((bool7 && bool9) && (l10 >= placeholder[Long](12))) {(\n val box33 = OUTPUTS(placeholder[Int](13))\n val tuple34 = box33.tokens(placeholder[Int](14))\n val tuple35 = coll1(placeholder[Int](15))\n val box36 = OUTPUTS(placeholder[Int](16))\n val coll37 = box36.tokens\n val tuple38 = coll37(placeholder[Int](17))\n val coll39 = box36.R9[Coll[Long]].get\n val l40 = l6 * coll5(placeholder[Int](18)) / placeholder[Long](19)\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](tuple34._1 == tuple35._1, tuple34._2 == tuple35._2, box33.propositionBytes == coll12)), allOf(\n Coll[Boolean](tuple38._1 == placeholder[Coll[Byte]](20), tuple38._2 == placeholder[Long](21))\n ), allOf(\n Coll[Boolean](\n box36.R4[Coll[Long]] == opt4, box36.R5[Coll[Coll[Byte]]] == opt13, box36.R6[Coll[Byte]] == opt11, box36.R7[Coll[Byte]] == opt14, box36.R8[\n Coll[Byte]\n ] == opt8\n )\n ), allOf(\n Coll[Boolean](\n coll39(placeholder[Int](22)) == l6 + l40, coll39(placeholder[Int](23)) == l40, coll39(placeholder[Int](24)) == l15 + coll5(placeholder[Int](25))\n )\n ), INPUTS(placeholder[Int](26)).tokens(placeholder[Int](27))._1 == coll16, coll37(placeholder[Int](28)) == tuple17\n )\n )\n )\n )} else {\n if (bool19 && (!bool7)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](29)).tokens(placeholder[Int](30))._1 == coll16, bool19, if (bool3) { coll1(placeholder[Int](31))._2 < l6 } else {\n placeholder[Boolean](32)\n }\n )\n )\n )\n } else { if (bool32) {(\n val coll33 = opt21.get\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](coll33(placeholder[Int](33)) > placeholder[Long](34), coll33(placeholder[Int](35)) - l18 > placeholder[Long](36), coll33(placeholder[Int](37)) >= placeholder[Long](38), coll33(placeholder[Int](39)) > placeholder[Long](40), tuple23 == tuple17, !box20.R8[Coll[Byte]].isDefined)), coll5.size == coll33.size, opt13.get.size == opt24.get.size, bool32, INPUTS(placeholder[Int](41)).propositionBytes == coll12)))\n )} else {(\n val bool33 = bool30 && (INPUTS(placeholder[Int](42)).tokens(placeholder[Int](43))._1 == coll16)\n if (bool33) {(\n val box34 = OUTPUTS(placeholder[Int](44))\n sigmaProp(allOf(Coll[Boolean](bool33, box34.value == l10 - placeholder[Long](45), box34.propositionBytes == coll12)))\n )} else {(\n val tuple34 = coll22(placeholder[Int](46))\n sigmaProp(allOf(Coll[Boolean](box20.R8[Coll[Byte]].isDefined, allOf(Coll[Boolean](tuple34._1 == opt14.get, tuple34._2 == l6)), allOf(Coll[Boolean](opt21 == opt4, opt24 == opt13, opt29 == opt11, opt31 == opt14, coll28 == coll27, tuple26 == tuple25, tuple23 == tuple17)), box20.value >= placeholder[Long](47))))\n )}\n )} }\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "4c87ac87ec4b591850ff9975fc4997aca5475162d9bbe0c2862aeee878ade6c2",
"index": 0,
"amount": 1,
"name": "Exle: SLT LoanBox Token V1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4cd95831af64f297e896690aea7311266f3a408387e19e0a878c68c89a035244",
"index": 1,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110528c0df6ac801d00ff0cf6a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[20,874464,100,1000,873464]"
},
"R5": {
"serializedValue": "1a021a45786c652054657374204c6f616e3a204d6f6469667920426f78245468697320697320612074657374206c6f616e20776974682045786c652053797374656d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[45786c652054657374204c6f616e3a204d6f6469667920426f78,5468697320697320612074657374206c6f616e20776974682045786c652053797374656d]"
},
"R6": {
"serializedValue": "0e240008cd03d42c967425defb017df3c958cb9d31d1dd2ad8c5ee74100ff2134cafa7ce703f",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd03d42c967425defb017df3c958cb9d31d1dd2ad8c5ee74100ff2134cafa7ce703f"
},
"R7": {
"serializedValue": "0e2003faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04",
"sigmaType": "Coll[SByte]",
"renderedValue": "03faf2cb329f2e90d6d23b58d91bbb6c046aa143261cc21f52fbe2824bfcbf04"
}
},
"spentTransactionId": "fd72d3a91e9b327c2275eec3725d1245f1628e5ad94a5bc5db4ec6ec3e01717c",
"mainChain": true
},
{
"boxId": "b98aac1c83977440efc4e9049d6bcdceb4cd9d9abbceab974f147b86ab684b9b",
"transactionId": "3da1e4c18ceff2be3e8916ecf96b90f008358534eb45dcd5a1d8285533bdff7b",
"blockId": "0791af108c5108413232a02e5566c9a16c634ba894e40153da3fdd7ab40c04ba",
"value": 100000000,
"index": 2,
"globalIndex": 23552974,
"creationHeight": 873466,
"settlementHeight": 873468,
"ergoTree": "0008cd024f716db88462f0c69b98d20cc281c0e51d6d1aa9ab79aa266e68b2eada18a18c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4f716d,970b15,...)))}",
"address": "9f83nJY4x9QkHmeek6PJMcTrf2xcaHAT3j5HD5sANXibXjMUixn",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "d3fa6e54fca7ca94f4e9e030a9057a5a0aea4439103c81c546c74d42a701d79f",
"mainChain": true
},
{
"boxId": "574a28a5cf45f35cc6553a61e5295d0ac263847efb77155d3af72344e0fb29ec",
"transactionId": "3da1e4c18ceff2be3e8916ecf96b90f008358534eb45dcd5a1d8285533bdff7b",
"blockId": "0791af108c5108413232a02e5566c9a16c634ba894e40153da3fdd7ab40c04ba",
"value": 1000000,
"index": 3,
"globalIndex": 23552975,
"creationHeight": 873466,
"settlementHeight": 873468,
"ergoTree": "1005040004000e36100204a00b08cd0279be667ef9dcbbac55a06295ce870b07029bfcdb2dce28d959f2815b16f81798ea02d192a39a8cc7a701730073011001020402d19683030193a38cc7b2a57300000193c2b2a57301007473027303830108cdeeac93b1a57304",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(16,2,4,-96,11,8,-51,2,121,-66,102,126,-7,-36,-69,-84,85,-96,98,-107,-50,-121,11,7,2,-101,-4,-37,45,-50,40,-39,89,-14,-127,91,22,-8,23,-104,-22,2,-47,-110,-93,-102,-116,-57,-89,1,115,0,115,1)\n3: Coll(1)\n4: 1",
"ergoTreeScript": "{sigmaProp(\n allOf(\n Coll[Boolean](\n HEIGHT == OUTPUTS(placeholder[Int](0)).creationInfo._1, OUTPUTS(placeholder[Int](1)).propositionBytes == substConstants(\n placeholder[Coll[Byte]](2), placeholder[Coll[Int]](3), Coll[SigmaProp](proveDlog(decodePoint(minerPubKey)))\n ), OUTPUTS.size == placeholder[Int](4)\n )\n )\n)}",
"address": "2iHkR7CWvD1R4j1yZg5bkeDRQavjAaVPeTDFGGLZduHyfWMuYpmhHocX8GJoaieTx78FntzJbCBVL6rf96ocJoZdmWBL2fci7NqWgAirppPQmZ7fN9V6z13Ay6brPriBKYqLp1bT2Fk4FkFLCfdPpe",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "7f54f195623dd26a40690c8d6552d2e54a3bc8ade7a32594cd9fc3aceb664e36",
"mainChain": true
}
],
"size": 2586,
"isUnconfirmed": false
}