Transaction
ID: a12179a620...aa09
Inputs (2)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.003 ERG
Tokens:
Loading assets...
Outputs (4)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Unspent
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
Transaction Details
Confirmations: 850,378
Total coins transferred: 0.004 ERG
Fees: 0.001 ERG
Fees per byte: 0.00000026 ERG
Raw Transaction Data
{
"id": "a12179a620f92e30e215bc80fba9fd4431d4c1e30ab18a331fa6bc50948caa09",
"blockId": "dc57f5c25ea4a1010a5dfa8b3ed83893950860a9c493d8f61256d79088d16016",
"inclusionHeight": 909829,
"timestamp": 1672700227834,
"index": 16,
"globalIndex": 4555939,
"numConfirmations": 850378,
"inputs": [
{
"boxId": "6b9d93fa11e9fb841d7a443ace42ca34bf650df992c88d5a374f5d74011079fc",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "ca2f6723e627db32494d1ead5820fdbff70e5e9cdee72005e5e90a00747ff7f2",
"outputTransactionId": "2cb78eb118dd2182a3f79213ccc72b627b488366fc7c7f9cc4f49768152306bd",
"outputIndex": 0,
"outputGlobalIndex": 25198216,
"outputCreatedAt": 909810,
"outputSettledAt": 909812,
"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": 999999941,
"name": "Exle: SLT LoanBox Token V1",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "690e9d5a2571a616d145bd5c3ee63f8d985f171de6cf6b48dc4d4d43b56dfd72",
"index": 2,
"amount": 999999989,
"name": "Exle: SLT RepaymentBox Token V1",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1a02205181f4f16683470b6f4458faeb7ae32554345cebf96bf94ae899dba63a28eed0200759e0f6a95c8ec138df47e849696b1efe7024a173d36ba7f12dfde9d7c6875f",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5181f4f16683470b6f4458faeb7ae32554345cebf96bf94ae899dba63a28eed0,0759e0f6a95c8ec138df47e849696b1efe7024a173d36ba7f12dfde9d7c6875f]"
},
"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": "f22274a603ea6e102e58cae38839809c5fa541f6e46a15ce67739f1f69121353",
"value": 3000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "e09289924a723d5d0da555d5aed85d19acbe9745638aa174026e1f0139802e52",
"outputTransactionId": "849dd75dd5befcf9c3e84ebeb603916fd611239a6f3b8cb3e65cee99f80bfdcf",
"outputIndex": 0,
"outputGlobalIndex": 25198982,
"outputCreatedAt": 909825,
"outputSettledAt": 909827,
"ergoTree": "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",
"ergoTreeConstants": "0: 2\n1: 0\n2: 2\n3: 1\n4: 0\n5: 3000000\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: 1\n10: 0\n11: 1\n12: 2\n13: 1\n14: 2\n15: 1\n16: 1\n17: 0\n18: 0\n19: 2\n20: 0\n21: 2\n22: 1\n23: 0\n24: 2\n25: 1000\n26: 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)\n27: 1\n28: 1\n29: 2\n30: 3\n31: 3\n32: 1\n33: 2\n34: true\n35: 2\n36: 1\n37: 0\n38: 2\n39: 1\n40: 1\n41: 1000000\n42: 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 bool11 = (bool7 && bool9) && (l10 >= placeholder[Long](5))\n val coll12 = INPUTS(placeholder[Int](6)).tokens\n val bool13 = coll12(placeholder[Int](7))._1 == placeholder[Coll[Byte]](8)\n val tuple14 = coll12(placeholder[Int](9))\n val box15 = OUTPUTS(placeholder[Int](10))\n val coll16 = box15.tokens\n val tuple17 = coll16(placeholder[Int](11))\n val tuple18 = coll16(placeholder[Int](12))\n val bool19 = (bool13 && ((tuple14._2 + placeholder[Long](13) == tuple17._2) && (tuple14._1 == tuple17._1))) && (coll12(placeholder[Int](14)) == tuple18)\n val opt20 = SELF.R6[Coll[Byte]]\n val coll21 = opt20.get\n val opt22 = SELF.R5[Coll[Coll[Byte]]]\n val opt23 = SELF.R7[Coll[Byte]]\n val l24 = coll5(placeholder[Int](15))\n val tuple25 = coll1(placeholder[Int](16))\n val bool26 = HEIGHT.toLong > l24\n val opt27 = box15.R4[Coll[Long]]\n val opt28 = box15.R7[Coll[Byte]]\n val opt29 = box15.R5[Coll[Coll[Byte]]]\n val tuple30 = coll1(placeholder[Int](17))\n val tuple31 = coll16(placeholder[Int](18))\n val coll32 = SELF.propositionBytes\n val coll33 = box15.propositionBytes\n val opt34 = box15.R6[Coll[Byte]]\n val bool35 = !bool9\n val bool36 = allOf(\n Coll[Boolean](\n i2 == coll16.size, tuple30 == tuple31, tuple25 == tuple17, coll32 == coll33, coll21 == opt34.get, bool35, anyOf(\n Coll[Boolean](opt4 != opt27, opt22 != opt29, opt23 != opt28)\n )\n )\n )\n if (bool11 && (!bool19)) {(\n val box37 = OUTPUTS(placeholder[Int](19))\n val tuple38 = box37.tokens(placeholder[Int](20))\n val tuple39 = coll1(placeholder[Int](21))\n val box40 = OUTPUTS(placeholder[Int](22))\n val coll41 = box40.tokens\n val tuple42 = coll41(placeholder[Int](23))\n val coll43 = box40.R9[Coll[Long]].get\n val l44 = l6 * coll5(placeholder[Int](24)) / placeholder[Long](25)\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](tuple38._1 == tuple39._1, tuple38._2 == tuple39._2, box37.propositionBytes == coll21)), allOf(\n Coll[Boolean](tuple42._1 == placeholder[Coll[Byte]](26), tuple42._2 == placeholder[Long](27))\n ), allOf(\n Coll[Boolean](\n box40.R4[Coll[Long]] == opt4, box40.R5[Coll[Coll[Byte]]] == opt22, box40.R6[Coll[Byte]] == opt20, box40.R7[Coll[Byte]] == opt23, box40.R8[\n Coll[Byte]\n ] == opt8\n )\n ), allOf(\n Coll[Boolean](\n coll43(placeholder[Int](28)) == l6 + l44, coll43(placeholder[Int](29)) == l44, coll43(placeholder[Int](30)) == l24 + coll5(placeholder[Int](31))\n )\n ), bool13, coll41(placeholder[Int](32)) == tuple25\n )\n )\n )\n )} else {\n if (bool26 && (!bool7)) {\n sigmaProp(allOf(Coll[Boolean](bool13, bool26, if (bool3) { coll1(placeholder[Int](33))._2 < l6 } else { placeholder[Boolean](34) })))\n } else { if (bool19) {(\n val bool37 = INPUTS(placeholder[Int](35)).propositionBytes == coll21\n if (bool11) {(\n val box38 = OUTPUTS(placeholder[Int](36))\n sigmaProp(allOf(Coll[Boolean](box38.propositionBytes == opt8.get, bool37, box38.tokens(placeholder[Int](37)) == coll1(placeholder[Int](38)), bool19)))\n )} else { sigmaProp(allOf(Coll[Boolean](bool37, bool19))) }\n )} else { if (bool36) { sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](opt4 == opt27, opt23 == opt28, tuple17 == tuple25, !box15.R8[Coll[Byte]].isDefined)), coll5.size == opt27.get.size, opt22.get.size == opt29.get.size, bool36, INPUTS(placeholder[Int](39)).propositionBytes == coll21))) } else {(\n val bool37 = bool35 && bool13\n if (bool37) {(\n val box38 = OUTPUTS(placeholder[Int](40))\n sigmaProp(allOf(Coll[Boolean](bool37, box38.value == l10 - placeholder[Long](41), box38.propositionBytes == coll21)))\n )} else { sigmaProp(allOf(Coll[Boolean](box15.R8[Coll[Byte]].isDefined, allOf(Coll[Boolean](tuple18._1 == opt23.get, tuple18._2 == l6)), allOf(Coll[Boolean](opt27 == opt4, opt29 == opt22, opt34 == opt20, opt28 == opt23, coll33 == coll32, tuple31 == tuple30, tuple17 == tuple25)), box15.value >= placeholder[Long](42)))) }\n )} } }\n }\n}",
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{
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"sigmaType": "Coll[SLong]",
"renderedValue": "[1000000,910216,105,2000,909216]"
}
}
}
],
"dataInputs": [],
"outputs": [
{
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"transactionId": "a12179a620f92e30e215bc80fba9fd4431d4c1e30ab18a331fa6bc50948caa09",
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"value": 1000000,
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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",
"decimals": 0,
"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,
"amount": 999999988,
"name": "Exle: SLT RepaymentBox Token V1",
"decimals": 0,
"type": "EIP-004"
}
],
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[5181f4f16683470b6f4458faeb7ae32554345cebf96bf94ae899dba63a28eed0,0759e0f6a95c8ec138df47e849696b1efe7024a173d36ba7f12dfde9d7c6875f]"
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"sigmaType": "Coll[SByte]",
"renderedValue": "45786c6520534c54205365727669636520426f783a2041206c656e64696e672070726f746f636f6c20746861742070726f7669646520686973746f726963616c2077726974696e6773206f66204c6f616e7320696e207465726d73206f6620546f6b656e732e"
},
"R8": {
"serializedValue": "110290038084af5f",
"sigmaType": "Coll[SLong]",
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},
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"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd024f716db88462f0c69b98d20cc281c0e51d6d1aa9ab79aa266e68b2eada18a18c"
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"sigmaType": "Coll[SLong]",
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{
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"transactionId": "a12179a620f92e30e215bc80fba9fd4431d4c1e30ab18a331fa6bc50948caa09",
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"ergoTreeConstants": "0: 2\n1: 2\n2: 0\n3: 1\n4: 0\n5: 0\n6: 1\n7: 1\n8: 4\n9: 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)\n10: 1\n11: 0\n12: 0\n13: 1\n14: 2\n15: 2\n16: 0\n17: 2\n18: 0\n19: 0\n20: 1\n21: 2\n22: 3\n23: 3\n24: 4\n25: 1000\n26: 1000\n27: 0\n28: 1000\n29: 1\n30: 0\n31: 1000000\n32: 1\n33: false\n34: 0\n35: 0\n36: 2\n37: 1\n38: 0\n39: 0\n40: 2\n41: 2\n42: 0\n43: 0\n44: 1\n45: 0\n46: 2\n47: 0\n48: 4000000\n49: true\n50: 1\n51: 0\n52: 2\n53: 2\n54: false",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Long]].get\n val l2 = coll1(placeholder[Int](0))\n val coll3 = SELF.R9[Coll[Long]].get\n val l4 = coll3(placeholder[Int](1))\n val coll5 = SELF.tokens\n val box6 = OUTPUTS(placeholder[Int](2))\n val coll7 = box6.R9[Coll[Long]].get\n val l8 = coll3(placeholder[Int](3))\n val bool9 = box6.R4[Coll[Long]].get == coll1\n val bool10 = box6.R5[Coll[Coll[Byte]]].get == SELF.R5[Coll[Coll[Byte]]].get\n val bool11 = box6.R6[Coll[Byte]].get == SELF.R6[Coll[Byte]].get\n val coll12 = SELF.R7[Coll[Byte]].get\n val bool13 = box6.R7[Coll[Byte]].get == coll12\n val coll14 = SELF.R8[Coll[Byte]].get\n val bool15 = box6.R8[Coll[Byte]].get == coll14\n val bool16 = box6.propositionBytes == SELF.propositionBytes\n val coll17 = box6.tokens\n val bool18 = coll17(placeholder[Int](4)) == coll5(placeholder[Int](5))\n val bool19 = coll17(placeholder[Int](6)) == coll5(placeholder[Int](7))\n val l20 = coll3(placeholder[Int](8))\n val coll21 = placeholder[Coll[Byte]](9)\n if (INPUTS.size == placeholder[Int](10)) {(\n val box22 = CONTEXT.dataInputs(placeholder[Int](11))\n val l23 = box22.R8[Coll[Long]].get(placeholder[Int](12))\n val box24 = OUTPUTS(placeholder[Int](13))\n val l25 = if (coll5.size > placeholder[Int](14)) { coll5(placeholder[Int](15))._2 } else { placeholder[Long](16) }\n val box26 = OUTPUTS(placeholder[Int](17))\n val opt27 = box22.R7[Coll[Byte]]\n val bool28 = allOf(\n Coll[Boolean](\n bool9, bool10, bool11, bool13, bool15, coll7(placeholder[Int](18)) == coll3(placeholder[Int](19)), coll7(placeholder[Int](20)) == l8, coll7(\n placeholder[Int](21)\n ) == l4, coll7(placeholder[Int](22)) == coll3(placeholder[Int](23)), bool16, bool18, bool19\n )\n )\n val bool29 = coll7(placeholder[Int](24)) == l20 + l25\n val l30 = l25 * l2 / placeholder[Long](25) * l23 / placeholder[Long](26)\n if ((l2 == placeholder[Long](27)) || (l4 * l23 / placeholder[Long](28) < placeholder[Long](29))) {(\n val tuple31 = box24.tokens(placeholder[Int](30))\n sigmaProp(\n allOf(\n Coll[Boolean](\n bool28, bool29, allOf(Coll[Boolean](tuple31._1 == coll12, box24.propositionBytes == coll14, tuple31._2 == l25)), allOf(\n Coll[Boolean](box26.propositionBytes == opt27.get, box26.value == placeholder[Long](31))\n )\n )\n )\n )\n )} else { if (l30 < placeholder[Long](32)) { sigmaProp(placeholder[Boolean](33)) } else {(\n val tuple31 = box24.tokens(placeholder[Int](34))\n val tuple32 = box26.tokens(placeholder[Int](35))\n sigmaProp(allOf(Coll[Boolean](bool28, bool29, allOf(Coll[Boolean](tuple31._1 == coll12, box24.propositionBytes == coll14, tuple31._2 == l25 - l30)), allOf(Coll[Boolean](tuple32._1 == coll12, box26.propositionBytes == opt27.get, tuple32._2 == l30)))))\n )} }\n )} else {(\n val bool22 = coll5.size > placeholder[Int](36)\n val coll23 = Coll[Byte](placeholder[Byte](37))\n val bool24 = if (bool22) {(\n val tuple24 = (coll23, placeholder[Long](38))\n (\n ((coll5.getOrElse(placeholder[Int](39), tuple24)._1 == coll21) && (coll5.getOrElse(placeholder[Int](40), tuple24)._1 == coll12)) && (\n coll5.getOrElse(placeholder[Int](41), tuple24)._2 < l8 - l20\n )\n ) && (l20 < l8)\n )} else { (coll5.getOrElse(placeholder[Int](42), (coll23, placeholder[Long](43)))._1 == coll21) && (l20 < l8) }\n val box25 = INPUTS(placeholder[Int](44))\n val l26 = if (bool22) { box25.tokens(placeholder[Int](45))._2 + coll5(placeholder[Int](46))._2 } else { box25.tokens(placeholder[Int](47))._2 }\n if (bool24) {(\n val bool27 = allOf(\n Coll[Boolean](\n box6.value == placeholder[Long](48), placeholder[Boolean](49), allOf(\n Coll[Boolean](bool9, bool10, bool11, bool13, bool15, coll7 == coll3, bool16, bool18, bool19)\n ), bool24\n )\n )\n if (l26 > l8) {(\n val tuple28 = OUTPUTS(placeholder[Int](50)).tokens(placeholder[Int](51))\n val l29 = l8 - l20\n val tuple30 = coll17(placeholder[Int](52))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](tuple28._2 == l26 - l29, tuple28._1 == coll12)), allOf(Coll[Boolean](tuple30._2 == l29, tuple30._1 == coll12)), bool27\n )\n )\n )\n )} else {(\n val tuple28 = coll17(placeholder[Int](53))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](tuple28._2 == l26, tuple28._1 == coll12)), bool27)))\n )}\n )} else { sigmaProp(placeholder[Boolean](54)) }\n )}\n}",
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