Transaction
ID: 762b8bca91...159a
Inputs (4)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.001 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.1 ERG
Outputs (6)
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:
0.004 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
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.095 ERG
Transaction Details
Confirmations: 794,318
Total coins transferred: 0.202 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000194 ERG
Raw Transaction Data
{
"id": "762b8bca912031a8cb3606d955e4e3b85324c940cca7da09968abae8a434159a",
"blockId": "cd8cdfde0e885eebb53337c0c822939fe1067e00579b1c282136af531d3bf6b8",
"inclusionHeight": 978990,
"timestamp": 1681076278096,
"index": 3,
"globalIndex": 5024631,
"numConfirmations": 794318,
"inputs": [
{
"boxId": "8a2a72c0f9167cf9bb04a8f4e89fde73689928e88aacfb180ff167ffc9d450a8",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "53aba1dd1a6538c35947852eba2465db9fe329d9663b3880d3725d052f2d3bfc",
"outputTransactionId": "968cbc86371706ec33cab71d2e645d940e75045d982ace57e7ea12e036316b77",
"outputIndex": 0,
"outputGlobalIndex": 28147764,
"outputCreatedAt": 978986,
"outputSettledAt": 978988,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 1\n4: 2\n5: 2\n6: 3\n7: 3\n8: 0\n9: 1\n10: 0\n11: 0\n12: 4\n13: 1\n14: 1\n15: 1\n16: SigmaProp(ProveDlog(ECPoint(4f716d,970b15,...)))\n17: 1\n18: 1\n19: 1\n20: 2\n21: 0\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 3\n28: 0\n29: 1\n30: 1\n31: 1\n32: 1\n33: 0\n34: 0\n35: 1\n36: 1\n37: 2\n38: 1\n39: 1\n40: 1\n41: 1\n42: 1\n43: 2\n44: 0\n45: 3\n46: 1\n47: 1\n48: 0\n49: 2\n50: 0\n51: 1000\n52: 1\n53: 2\n54: 0\n55: 3\n56: 0\n57: 1\n58: 4000000\n59: 0\n60: 1\n61: 1\n62: 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 tuple15 = coll2(placeholder[Int](6))\n val l16 = tuple15._2\n val tuple17 = coll6(placeholder[Int](7))\n val l18 = tuple17._2\n val bool19 = l16 == l18\n val coll20 = SELF.R5[Coll[Coll[Byte]]].get\n val coll21 = coll20(placeholder[Int](8))\n val coll22 = SELF.R8[Coll[Long]].get\n val l23 = coll22(placeholder[Int](9))\n val opt24 = SELF.R7[Coll[Byte]]\n val coll25 = tuple15._1\n val bool26 = allOf(\n Coll[Boolean](\n box5.propositionBytes == box1.propositionBytes, coll6(placeholder[Int](10))._1 == coll2(\n placeholder[Int](11)\n )._1, tuple7._1 == tuple3._1, tuple12._1 == tuple10._1, tuple17._1 == coll25, coll6.size == placeholder[Int](12), box5.value == box1.value, box5.R5[\n Coll[Coll[Byte]]\n ] == box1.R5[Coll[Coll[Byte]]], box5.R6[Coll[Byte]] == box1.R6[Coll[Byte]], box5.R7[Coll[Byte]] == box1.R7[Coll[Byte]]\n )\n )\n val bool27 = allOf(Coll[Boolean](box5.R4[Coll[Long]] == box1.R4[Coll[Long]], box5.R8[Coll[Long]] == box1.R8[Coll[Long]]))\n val bool28 = l4 + placeholder[Long](13) == l8\n val bool29 = allOf(Coll[Boolean](bool28, bool14, bool19))\n val bool30 = allOf(Coll[Boolean](bool9, bool14, l16 - placeholder[Long](14) == l18))\n val bool31 = allOf(Coll[Boolean](bool9, bool14, l16 + placeholder[Long](15) == l18))\n if (allOf(Coll[Boolean](bool9, bool14, bool19))) { placeholder[SigmaProp](16) } else {\n if (allOf(Coll[Boolean](l4 - placeholder[Long](17) == l8, bool14, bool19))) {(\n val box32 = OUTPUTS(placeholder[Int](18))\n val coll33 = box32.R4[Coll[Long]].get\n val tuple34 = box32.tokens(placeholder[Int](19))\n val box35 = OUTPUTS(placeholder[Int](20))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n coll33(placeholder[Int](21)) > placeholder[Long](22), coll33(placeholder[Int](23)) - HEIGHT.toLong > placeholder[Long](24), coll33(\n placeholder[Int](25)\n ) >= placeholder[Long](26), coll33(placeholder[Int](27)) > placeholder[Long](28), tuple34._1 == box1.id, tuple34._2 == placeholder[Long](29)\n )\n ), allOf(Coll[Boolean](blake2b256(box32.propositionBytes) == coll21, box35.value >= l23, box35.propositionBytes == opt24.get)), bool26, bool27\n )\n )\n )\n )} else { if (allOf(Coll[Boolean](bool28, l11 - placeholder[Long](30) == l13, bool19))) {(\n val box32 = INPUTS(placeholder[Int](31))\n val coll33 = box32.tokens\n val coll34 = SELF.tokens\n val box35 = OUTPUTS(placeholder[Int](32))\n val coll36 = box35.tokens\n val tuple37 = coll36(placeholder[Int](33))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](coll33(placeholder[Int](34))._1 == coll34(placeholder[Int](35))._1, blake2b256(box32.propositionBytes) == coll21)), allOf(Coll[Boolean](blake2b256(box35.propositionBytes) == coll20(placeholder[Int](36)), tuple37._1 == coll34(placeholder[Int](37))._1, tuple37._2 == placeholder[Long](38), coll36(placeholder[Int](39)) == coll33(placeholder[Int](40)))), bool26, bool27)))\n )} else { if (allOf(Coll[Boolean](bool9, l11 + placeholder[Long](41) == l13, bool19))) {(\n val box32 = INPUTS(placeholder[Int](42))\n val coll33 = box32.R9[Coll[Long]].get\n if ((box32.R4[Coll[Long]].get(placeholder[Int](43)) == placeholder[Long](44)) || allOf(Coll[Boolean](coll33(placeholder[Int](45)) < HEIGHT.toLong, box32.value < coll33(placeholder[Int](46))))) { sigmaProp(bool26 && bool27) } else {(\n val box34 = OUTPUTS(placeholder[Int](47))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](box34.propositionBytes == opt24.get, box34.tokens(placeholder[Int](48))._2 == coll33(placeholder[Int](49)) * coll22(placeholder[Int](50)) / placeholder[Long](51))), bool26, bool27)))\n )}\n )} else { if (bool29) { sigmaProp(allOf(Coll[Boolean](bool26, bool27, bool29))) } else { if (bool30) {(\n val coll32 = INPUTS(placeholder[Int](52)).tokens\n val box33 = OUTPUTS(placeholder[Int](53))\n val coll34 = box33.tokens\n val bool35 = box33.R6[Long].get == placeholder[Long](54)\n val box36 = OUTPUTS(placeholder[Int](55))\n sigmaProp(allOf(Coll[Boolean](coll32(placeholder[Int](56))._1 == SELF.tokens(placeholder[Int](57))._1, allOf(Coll[Boolean](box33.value == placeholder[Long](58), coll34(placeholder[Int](59))._1 == coll25, bool35, box36.value >= l23, box36.propositionBytes == opt24.get, box33.R4[Coll[Byte]].get == coll32(placeholder[Int](60))._1, box33.R5[Coll[Byte]].get == coll34(placeholder[Int](61))._1, bool35)), bool26, bool27, bool30)))\n )} else { if (bool31) { sigmaProp(allOf(Coll[Boolean](bool31, bool26, bool27))) } else { sigmaProp(placeholder[Boolean](62)) } } } } } }\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "b3d14ca02cdb4432dafc1cce9142dd75daeed2340dc96f1c5ee8874b7c330729",
"index": 0,
"amount": 1,
"name": "Exle: SLT Config Box V1.2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "1f6d5d1420f88a2fc34dcc0d6d47651092ca4b50dcb26ea1c7ba8a6a52f0fff5",
"index": 1,
"amount": 9999999998,
"name": "Exle: SLT LoanBox Token V1.2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "29a907e59c41d0ed065f7dfb1be95a0a7b9f73d76717f0512ad60aaa7b6a4f26",
"index": 2,
"amount": 9999999999,
"name": "Exle: SLT RepaymentBox Token V1.2",
"decimals": 2,
"type": "EIP-004"
},
{
"tokenId": "94090223be53f47126a8159bb91dd005f03cee845920911c4781c51fcfecfbcb",
"index": 3,
"amount": 9999999999,
"name": "Exle: SLT CrowdFund Token V1.2",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R5": {
"serializedValue": "1a022021264bcb0b21da52337bcf2c331f0e3d9463c2db5949dd0c9a69b938009691e42001dec8c8e38ed190ecde0edcf5e5808fed47e41cfdb995d761d1d6414b332499",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[21264bcb0b21da52337bcf2c331f0e3d9463c2db5949dd0c9a69b938009691e4,01dec8c8e38ed190ecde0edcf5e5808fed47e41cfdb995d761d1d6414b332499]"
},
"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": "110290b67702",
"sigmaType": "Coll[SLong]",
"renderedValue": "[978312,1]"
}
}
},
{
"boxId": "073f73b1a6cccf4215ad691f76eb3f3a7a46e3c2ba64c8d1eddd8d98ebffad81",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "5caeab2523917eb9e98755a12391798ec58aa4c7dba20aaad559113e70bb0dba",
"outputTransactionId": "7a8f87474149a341d169edf94b1f21831fc63fae744d9770f71ebceae1972a22",
"outputIndex": 1,
"outputGlobalIndex": 28145355,
"outputCreatedAt": 978904,
"outputSettledAt": 978906,
"ergoTree": "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",
"ergoTreeConstants": "0: 2\n1: 1\n2: 0\n3: 0\n4: 2\n5: 3000000\n6: 0\n7: 0\n8: Coll(-77,-47,76,-96,44,-37,68,50,-38,-4,28,-50,-111,66,-35,117,-38,-18,-46,52,13,-55,111,28,94,-24,-121,75,124,51,7,41)\n9: 1\n10: 0\n11: 1\n12: 2\n13: 1\n14: 2\n15: 1\n16: 1\n17: 1\n18: 0\n19: 0\n20: 2\n21: 0\n22: 2\n23: 0\n24: 2\n25: 1000\n26: Coll(41,-87,7,-27,-100,65,-48,-19,6,95,125,-5,27,-23,90,10,123,-97,115,-41,103,23,-16,81,42,-42,10,-86,123,106,79,38)\n27: 1\n28: 1\n29: 2\n30: 3\n31: 3\n32: 1\n33: 2\n34: true\n35: 2\n36: 0\n37: 2\n38: 1\n39: 3\n40: 1\n41: 2\n42: 0\n43: 1\n44: 2\n45: 2\n46: false\n47: 1000000\n48: 3000000",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 > placeholder[Int](0)\n val tuple4 = (Coll[Byte](placeholder[Byte](1)), placeholder[Long](2))\n val opt5 = SELF.R4[Coll[Long]]\n val coll6 = opt5.get\n val l7 = coll6(placeholder[Int](3))\n val bool8 = bool3 && (coll1.getOrElse(placeholder[Int](4), tuple4)._2 == l7)\n val opt9 = SELF.R8[Coll[Byte]]\n val bool10 = opt9.isDefined\n val l11 = SELF.value\n val bool12 = (bool8 && bool10) && (l11 >= placeholder[Long](5))\n val coll13 = INPUTS(placeholder[Int](6)).tokens\n val bool14 = coll13(placeholder[Int](7))._1 == placeholder[Coll[Byte]](8)\n val tuple15 = coll13(placeholder[Int](9))\n val box16 = OUTPUTS(placeholder[Int](10))\n val coll17 = box16.tokens\n val tuple18 = coll17(placeholder[Int](11))\n val tuple19 = coll17(placeholder[Int](12))\n val bool20 = (bool14 && ((tuple15._2 + placeholder[Long](13) == tuple18._2) && (tuple15._1 == tuple18._1))) && (coll13(placeholder[Int](14)) == tuple19)\n val opt21 = SELF.R6[Coll[Byte]]\n val coll22 = opt21.get\n val box23 = OUTPUTS(placeholder[Int](15))\n val coll24 = box23.tokens\n val opt25 = SELF.R5[Coll[Coll[Byte]]]\n val opt26 = SELF.R7[Coll[Byte]]\n val l27 = coll6(placeholder[Int](16))\n val tuple28 = coll1(placeholder[Int](17))\n val bool29 = HEIGHT.toLong > l27\n val opt30 = box16.R4[Coll[Long]]\n val opt31 = box16.R7[Coll[Byte]]\n val opt32 = box16.R5[Coll[Coll[Byte]]]\n val tuple33 = coll1(placeholder[Int](18))\n val tuple34 = coll17(placeholder[Int](19))\n val l35 = box16.value\n val coll36 = SELF.propositionBytes\n val coll37 = box16.propositionBytes\n val opt38 = box16.R6[Coll[Byte]]\n val bool39 = !bool10\n val bool40 = allOf(\n Coll[Boolean](\n i2 == coll17.size, tuple33 == tuple34, tuple28 == tuple18, l11 == l35, coll36 == coll37, coll22 == opt38.get, bool39, anyOf(\n Coll[Boolean](opt5 != opt30, opt25 != opt32, opt26 != opt31)\n )\n )\n )\n val i41 = OUTPUTS.size\n val i42 = coll24.size\n if (bool12 && (!bool20)) {(\n val box43 = OUTPUTS(placeholder[Int](20))\n val tuple44 = box43.tokens(placeholder[Int](21))\n val tuple45 = coll1(placeholder[Int](22))\n val tuple46 = coll24(placeholder[Int](23))\n val coll47 = box23.R9[Coll[Long]].get\n val l48 = l7 * coll6(placeholder[Int](24)) / placeholder[Long](25)\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](tuple44._1 == tuple45._1, tuple44._2 == tuple45._2, box43.propositionBytes == coll22)), allOf(\n Coll[Boolean](tuple46._1 == placeholder[Coll[Byte]](26), tuple46._2 == placeholder[Long](27))\n ), allOf(\n Coll[Boolean](\n box23.R4[Coll[Long]] == opt5, box23.R5[Coll[Coll[Byte]]] == opt25, box23.R6[Coll[Byte]] == opt21, box23.R7[Coll[Byte]] == opt26, box23.R8[\n Coll[Byte]\n ] == opt9\n )\n ), allOf(\n Coll[Boolean](\n coll47(placeholder[Int](28)) == l7 + l48, coll47(placeholder[Int](29)) == l48, coll47(placeholder[Int](30)) == l27 + coll6(placeholder[Int](31))\n )\n ), bool14, coll24(placeholder[Int](32)) == tuple28\n )\n )\n )\n )} else {\n if (bool29 && (!bool8)) {\n sigmaProp(allOf(Coll[Boolean](bool14, bool29, if (bool3) { coll1(placeholder[Int](33))._2 < l7 } else { placeholder[Boolean](34) })))\n } else { if (bool20) {(\n val bool43 = INPUTS(placeholder[Int](35)).propositionBytes == coll22\n if (bool12) { sigmaProp(allOf(Coll[Boolean](box23.propositionBytes == opt9.get, bool43, coll24(placeholder[Int](36)) == coll1(placeholder[Int](37)), bool20))) } else { sigmaProp(allOf(Coll[Boolean](bool43, bool20))) }\n )} else { if (bool40) { sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](opt5 == opt30, opt26 == opt31, tuple18 == tuple28, !box16.R8[Coll[Byte]].isDefined)), coll6.size == opt30.get.size, opt25.get.size == opt32.get.size, bool40, INPUTS(placeholder[Int](38)).propositionBytes == coll22))) } else { if (allOf(Coll[Boolean](i41 > placeholder[Int](39), i42 > placeholder[Int](40)))) { sigmaProp(if (i41 > placeholder[Int](41)) { allOf(Coll[Boolean](i2 == i42, tuple33 == coll24(placeholder[Int](42)), tuple28 == coll24(placeholder[Int](43)), coll1.getOrElse(placeholder[Int](44), tuple4) == coll24.getOrElse(placeholder[Int](45), tuple4), l11 == box23.value, coll36 == box23.propositionBytes, coll22 == box23.R6[Coll[Byte]].get, bool39, opt5 == box23.R4[Coll[Long]], opt25 == box23.R5[Coll[Coll[Byte]]], opt26 == box23.R7[Coll[Byte]])) } else { placeholder[Boolean](46) }) } else {(\n val bool43 = bool39 && bool14\n if (bool43) { sigmaProp(allOf(Coll[Boolean](bool43, box23.value == l11 - placeholder[Long](47), box23.propositionBytes == coll22))) } else { sigmaProp(allOf(Coll[Boolean](box16.R8[Coll[Byte]].isDefined, allOf(Coll[Boolean](tuple19._1 == opt26.get, tuple19._2 == l7)), allOf(Coll[Boolean](opt30 == opt5, opt32 == opt25, opt38 == opt21, opt31 == opt26, coll37 == coll36, tuple34 == tuple33, tuple18 == tuple28)), l35 >= placeholder[Long](48)))) }\n )} } } }\n }\n}",
"address": "6SMxP5nxMPKNrk7bDLjf257RvsQzYdpgVN8eGjkA5Rz5YV7jTr5sJjyq3SdvB3J1w9ZBYU5y2U3XxmaG9qbRNb5iHFNdyFXRRs7SizX95oTm5mETYyDnBAhoM5s9fiZQbQnwKQrUHJ8u22er5CzKuHw7ZFsF62nRD6Sdzwvik9dzp1LS4JXG9rJLkKGJ1kJtYUbCi9Z6P7JMwknvguVAZhdt1dynKrhFT8EABXDsrM5mLMAAkg5SDDvgm6dDkS6s8wkVjsgXMhsGotNUf8mSXCm5rwjr9fQ8cwsEsYeNY353hgXPGbKWjw27cfB8YkPggmuFCjX72P4uLxhpnnErVsKqUcSsQLuJ2Psg5K9t7nRbKrAQqpRzomztNZxcbJN46DhLvf8ga6zG99efza2AohQk8kgNg21XFCQ5jErvrevaERR6dtNG8V529VWbne7prZpMx8CtStv4R97tBJg7wQ9xDxrG6a8KvHZh892bVYyrrCt7X9DAYBkq4nQXd79Bo1eXMXu82xP1KNJFtuXforR3cMJx4cFdgtsqPgJqN3pW5eYcUapfVUK2ducVGbNcXEg3PAxMk1CRurb3o3Rpw5U2Y2xev3sA4sHSuXBzJKFBTjBGT2676yiBoCXMBGQSnZ1Avkk5JxyMPKQU6KaB3z1tsi7E6WoghupRwRh7x41JVzKyPSLsbU2Wx12L57zd8nKXFQFLVyQAWzWHB9E8brNMRtikRU87oZjmCRHS8pwShRCbFK3P2VHj2zhzUiNXiawADvh58qyWCajy1o1miXyaPzAdSfds34WP4rCzPg8KE7KH9ZBJcRSwUaTqv1dza7u4trkD9hvCXSAWWxfPybX4ajMnJA3NwFsQ9RoAqsyUQnMXGiiRC8FfELYLUr5uJpMaFswvRHWt4eAEh99doEWGQEqQyPSjbPNRw9mnez8hjuuHjtS2of7HVHhYnfYSmP8RXJXKEeceWzSD2mzdhd2k1WgeDA59fkgXfrcQxF72Tzu3jvaLzUWhaxsHLREz3FZ2CJmZ8bVWsSKmDwJQDQgigt7ZekGMJjSeKnDdX6GyVPoFdkahMGKKZvRmRrBQFtfjYRHwDiCBEKvU4o5kwsMWXKaJC7zKjjGXE8P92WoqZvf2YAECm6yizA6ZSC1C8gTaeKAQzwhmpBVey19MAmjebwaQgi91dyWwmGKmaE6yEB6ky2yuurev4L9Ya2bcRrsVSPY5jkJWSBnaZa7MkAdKV8TFyQZf77b8ubQnNYKnuPKgB2KooLKeBZPZH8Bmc5J5FCcQB3pSa9QkBnpFqVe6zntwyZAErhcDRrqGJiMqyBfk6ddYCAYV3oFPP1KkxijoU32FVYkvdnVfh2erLaYzSkYSxoKASEUV8VRmZNjFHx3qnb8JKLXy5y4d7oz2dtkQa78uKmb7bRBBdwZ7xXBP7Aw1dyuYXoxLMahSZjmtfi8VcGejDtwcu7P5VBXR1Z8wYiuKx1LUGPKF4U1p4zMABqbAKEY2HydKWvZaFYnYFUBCQ8LtfcDsWkN5T2JpaGtiwNsUNAQ3SJAvp39SNXU7JCEBb8AibV",
"assets": [
{
"tokenId": "1f6d5d1420f88a2fc34dcc0d6d47651092ca4b50dcb26ea1c7ba8a6a52f0fff5",
"index": 0,
"amount": 1,
"name": "Exle: SLT LoanBox Token V1.2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4e663abb0aceec072f6b3aaf844cc3cf555424e9f2a293844c090940d86cefe5",
"index": 1,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110580897aecd577ac02805aacbf77",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000000,980342,150,5760,978902]"
},
"R5": {
"serializedValue": "1a0207434620746573743d4c6f6f6b696e6720746f2073656520686f772063726f77642066756e642077696c6c206c6f6f6b206f6e207468652066756e64206c6f616e2074616273",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[43462074657374,4c6f6f6b696e6720746f2073656520686f772063726f77642066756e642077696c6c206c6f6f6b206f6e207468652066756e64206c6f616e2074616273]"
},
"R6": {
"serializedValue": "0e240008cd034257f76ad2419668539820ee53bb085ec38d85ed26e03e220a3bda237dfb4f76",
"sigmaType": "Coll[SByte]",
"renderedValue": "0008cd034257f76ad2419668539820ee53bb085ec38d85ed26e03e220a3bda237dfb4f76"
},
"R7": {
"serializedValue": "0e206ba45eb59947c2b7a19ec6cff038080776e2303c328b321832d32924dfc297c2",
"sigmaType": "Coll[SByte]",
"renderedValue": "6ba45eb59947c2b7a19ec6cff038080776e2303c328b321832d32924dfc297c2"
}
}
},
{
"boxId": "27f02086258c72dff3e0551cbe6283611d52938c9f7098a78fae6a01406af00a",
"value": 100000000,
"index": 2,
"spendingProof": "a2d7a42fd468201d75f699ce6d5ea0723b2197aade24cb73c4599a982bbc9cd97d74fb0911470bcd019137ab0829b11c55c5a4ca231a1fc0",
"outputBlockId": "283b177398f07d7e7fcb865963c6a5a36e4217b2421645a7e4d6473667a371dc",
"outputTransactionId": "7012dcb77502a5a7838d03ffe74c5be6000aefa09b372670edc059e260933b25",
"outputIndex": 2,
"outputGlobalIndex": 25157754,
"outputCreatedAt": 909030,
"outputSettledAt": 909032,
"ergoTree": "0008cd024f716db88462f0c69b98d20cc281c0e51d6d1aa9ab79aa266e68b2eada18a18c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4f716d,970b15,...)))}",
"address": "9f83nJY4x9QkHmeek6PJMcTrf2xcaHAT3j5HD5sANXibXjMUixn",
"assets": [],
"additionalRegisters": {}
},
{
"boxId": "2a49f141edc102b6e1f7b394eb81951956c336c02834daf4311b02c4c41be0bd",
"value": 100000000,
"index": 3,
"spendingProof": "270bf3b0b49fa25b7e8dbe37c5cde3486e59213aa9b183d564bc31e5328ead4e9bf11277b2031a6b8fc07ce52a998ae3a2fd0ddd198cafa7",
"outputBlockId": "02c44b406f36525b76ce25aad848e359ffe82e74b318db40f108ea00be8d4c51",
"outputTransactionId": "4808bf190d8c5f4f6cfda211ec69d3ac7fbd0c787820d8b8e1927785990aeb8b",
"outputIndex": 2,
"outputGlobalIndex": 25157948,
"outputCreatedAt": 909035,
"outputSettledAt": 909037,
"ergoTree": "0008cd024f716db88462f0c69b98d20cc281c0e51d6d1aa9ab79aa266e68b2eada18a18c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4f716d,970b15,...)))}",
"address": "9f83nJY4x9QkHmeek6PJMcTrf2xcaHAT3j5HD5sANXibXjMUixn",
"assets": [],
"additionalRegisters": {}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "53226454bf9b0dbf1fa99ee26ef2b999d69d6de318bd8935910600e39de80bfc",
"transactionId": "762b8bca912031a8cb3606d955e4e3b85324c940cca7da09968abae8a434159a",
"blockId": "cd8cdfde0e885eebb53337c0c822939fe1067e00579b1c282136af531d3bf6b8",
"value": 1000000,
"index": 0,
"globalIndex": 28147908,
"creationHeight": 978987,
"settlementHeight": 978990,
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"ergoTreeConstants": "0: 0\n1: 1\n2: 0\n3: 1\n4: 2\n5: 2\n6: 3\n7: 3\n8: 0\n9: 1\n10: 0\n11: 0\n12: 4\n13: 1\n14: 1\n15: 1\n16: SigmaProp(ProveDlog(ECPoint(4f716d,970b15,...)))\n17: 1\n18: 1\n19: 1\n20: 2\n21: 0\n22: 0\n23: 1\n24: 0\n25: 2\n26: 0\n27: 3\n28: 0\n29: 1\n30: 1\n31: 1\n32: 1\n33: 0\n34: 0\n35: 1\n36: 1\n37: 2\n38: 1\n39: 1\n40: 1\n41: 1\n42: 1\n43: 2\n44: 0\n45: 3\n46: 1\n47: 1\n48: 0\n49: 2\n50: 0\n51: 1000\n52: 1\n53: 2\n54: 0\n55: 3\n56: 0\n57: 1\n58: 4000000\n59: 0\n60: 1\n61: 1\n62: 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 tuple15 = coll2(placeholder[Int](6))\n val l16 = tuple15._2\n val tuple17 = coll6(placeholder[Int](7))\n val l18 = tuple17._2\n val bool19 = l16 == l18\n val coll20 = SELF.R5[Coll[Coll[Byte]]].get\n val coll21 = coll20(placeholder[Int](8))\n val coll22 = SELF.R8[Coll[Long]].get\n val l23 = coll22(placeholder[Int](9))\n val opt24 = SELF.R7[Coll[Byte]]\n val coll25 = tuple15._1\n val bool26 = allOf(\n Coll[Boolean](\n box5.propositionBytes == box1.propositionBytes, coll6(placeholder[Int](10))._1 == coll2(\n placeholder[Int](11)\n )._1, tuple7._1 == tuple3._1, tuple12._1 == tuple10._1, tuple17._1 == coll25, coll6.size == placeholder[Int](12), box5.value == box1.value, box5.R5[\n Coll[Coll[Byte]]\n ] == box1.R5[Coll[Coll[Byte]]], box5.R6[Coll[Byte]] == box1.R6[Coll[Byte]], box5.R7[Coll[Byte]] == box1.R7[Coll[Byte]]\n )\n )\n val bool27 = allOf(Coll[Boolean](box5.R4[Coll[Long]] == box1.R4[Coll[Long]], box5.R8[Coll[Long]] == box1.R8[Coll[Long]]))\n val bool28 = l4 + placeholder[Long](13) == l8\n val bool29 = allOf(Coll[Boolean](bool28, bool14, bool19))\n val bool30 = allOf(Coll[Boolean](bool9, bool14, l16 - placeholder[Long](14) == l18))\n val bool31 = allOf(Coll[Boolean](bool9, bool14, l16 + placeholder[Long](15) == l18))\n if (allOf(Coll[Boolean](bool9, bool14, bool19))) { placeholder[SigmaProp](16) } else {\n if (allOf(Coll[Boolean](l4 - placeholder[Long](17) == l8, bool14, bool19))) {(\n val box32 = OUTPUTS(placeholder[Int](18))\n val coll33 = box32.R4[Coll[Long]].get\n val tuple34 = box32.tokens(placeholder[Int](19))\n val box35 = OUTPUTS(placeholder[Int](20))\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(\n Coll[Boolean](\n coll33(placeholder[Int](21)) > placeholder[Long](22), coll33(placeholder[Int](23)) - HEIGHT.toLong > placeholder[Long](24), coll33(\n placeholder[Int](25)\n ) >= placeholder[Long](26), coll33(placeholder[Int](27)) > placeholder[Long](28), tuple34._1 == box1.id, tuple34._2 == placeholder[Long](29)\n )\n ), allOf(Coll[Boolean](blake2b256(box32.propositionBytes) == coll21, box35.value >= l23, box35.propositionBytes == opt24.get)), bool26, bool27\n )\n )\n )\n )} else { if (allOf(Coll[Boolean](bool28, l11 - placeholder[Long](30) == l13, bool19))) {(\n val box32 = INPUTS(placeholder[Int](31))\n val coll33 = box32.tokens\n val coll34 = SELF.tokens\n val box35 = OUTPUTS(placeholder[Int](32))\n val coll36 = box35.tokens\n val tuple37 = coll36(placeholder[Int](33))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](coll33(placeholder[Int](34))._1 == coll34(placeholder[Int](35))._1, blake2b256(box32.propositionBytes) == coll21)), allOf(Coll[Boolean](blake2b256(box35.propositionBytes) == coll20(placeholder[Int](36)), tuple37._1 == coll34(placeholder[Int](37))._1, tuple37._2 == placeholder[Long](38), coll36(placeholder[Int](39)) == coll33(placeholder[Int](40)))), bool26, bool27)))\n )} else { if (allOf(Coll[Boolean](bool9, l11 + placeholder[Long](41) == l13, bool19))) {(\n val box32 = INPUTS(placeholder[Int](42))\n val coll33 = box32.R9[Coll[Long]].get\n if ((box32.R4[Coll[Long]].get(placeholder[Int](43)) == placeholder[Long](44)) || allOf(Coll[Boolean](coll33(placeholder[Int](45)) < HEIGHT.toLong, box32.value < coll33(placeholder[Int](46))))) { sigmaProp(bool26 && bool27) } else {(\n val box34 = OUTPUTS(placeholder[Int](47))\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](box34.propositionBytes == opt24.get, box34.tokens(placeholder[Int](48))._2 == coll33(placeholder[Int](49)) * coll22(placeholder[Int](50)) / placeholder[Long](51))), bool26, bool27)))\n )}\n )} else { if (bool29) { sigmaProp(allOf(Coll[Boolean](bool26, bool27, bool29))) } else { if (bool30) {(\n val coll32 = INPUTS(placeholder[Int](52)).tokens\n val box33 = OUTPUTS(placeholder[Int](53))\n val coll34 = box33.tokens\n val bool35 = box33.R6[Long].get == placeholder[Long](54)\n val box36 = OUTPUTS(placeholder[Int](55))\n sigmaProp(allOf(Coll[Boolean](coll32(placeholder[Int](56))._1 == SELF.tokens(placeholder[Int](57))._1, allOf(Coll[Boolean](box33.value == placeholder[Long](58), coll34(placeholder[Int](59))._1 == coll25, bool35, box36.value >= l23, box36.propositionBytes == opt24.get, box33.R4[Coll[Byte]].get == coll32(placeholder[Int](60))._1, box33.R5[Coll[Byte]].get == coll34(placeholder[Int](61))._1, bool35)), bool26, bool27, bool30)))\n )} else { if (bool31) { sigmaProp(allOf(Coll[Boolean](bool31, bool26, bool27))) } else { sigmaProp(placeholder[Boolean](62)) } } } } } }\n }\n}",
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{
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}
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"mainChain": true
},
{
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"ergoTreeConstants": "0: 2\n1: 1\n2: 0\n3: 0\n4: 2\n5: 3000000\n6: 0\n7: 0\n8: Coll(-77,-47,76,-96,44,-37,68,50,-38,-4,28,-50,-111,66,-35,117,-38,-18,-46,52,13,-55,111,28,94,-24,-121,75,124,51,7,41)\n9: 1\n10: 0\n11: 1\n12: 2\n13: 1\n14: 2\n15: 1\n16: 1\n17: 1\n18: 0\n19: 0\n20: 2\n21: 0\n22: 2\n23: 0\n24: 2\n25: 1000\n26: Coll(41,-87,7,-27,-100,65,-48,-19,6,95,125,-5,27,-23,90,10,123,-97,115,-41,103,23,-16,81,42,-42,10,-86,123,106,79,38)\n27: 1\n28: 1\n29: 2\n30: 3\n31: 3\n32: 1\n33: 2\n34: true\n35: 2\n36: 0\n37: 2\n38: 1\n39: 3\n40: 1\n41: 2\n42: 0\n43: 1\n44: 2\n45: 2\n46: false\n47: 1000000\n48: 3000000",
"ergoTreeScript": "{\n val coll1 = SELF.tokens\n val i2 = coll1.size\n val bool3 = i2 > placeholder[Int](0)\n val tuple4 = (Coll[Byte](placeholder[Byte](1)), placeholder[Long](2))\n val opt5 = SELF.R4[Coll[Long]]\n val coll6 = opt5.get\n val l7 = coll6(placeholder[Int](3))\n val bool8 = bool3 && (coll1.getOrElse(placeholder[Int](4), tuple4)._2 == l7)\n val opt9 = SELF.R8[Coll[Byte]]\n val bool10 = opt9.isDefined\n val l11 = SELF.value\n val bool12 = (bool8 && bool10) && (l11 >= placeholder[Long](5))\n val coll13 = INPUTS(placeholder[Int](6)).tokens\n val bool14 = coll13(placeholder[Int](7))._1 == placeholder[Coll[Byte]](8)\n val tuple15 = coll13(placeholder[Int](9))\n val box16 = OUTPUTS(placeholder[Int](10))\n val coll17 = box16.tokens\n val tuple18 = coll17(placeholder[Int](11))\n val tuple19 = coll17(placeholder[Int](12))\n val bool20 = (bool14 && ((tuple15._2 + placeholder[Long](13) == tuple18._2) && (tuple15._1 == tuple18._1))) && (coll13(placeholder[Int](14)) == tuple19)\n val opt21 = SELF.R6[Coll[Byte]]\n val coll22 = opt21.get\n val box23 = OUTPUTS(placeholder[Int](15))\n val coll24 = box23.tokens\n val opt25 = SELF.R5[Coll[Coll[Byte]]]\n val opt26 = SELF.R7[Coll[Byte]]\n val l27 = coll6(placeholder[Int](16))\n val tuple28 = coll1(placeholder[Int](17))\n val bool29 = HEIGHT.toLong > l27\n val opt30 = box16.R4[Coll[Long]]\n val opt31 = box16.R7[Coll[Byte]]\n val opt32 = box16.R5[Coll[Coll[Byte]]]\n val tuple33 = coll1(placeholder[Int](18))\n val tuple34 = coll17(placeholder[Int](19))\n val l35 = box16.value\n val coll36 = SELF.propositionBytes\n val coll37 = box16.propositionBytes\n val opt38 = box16.R6[Coll[Byte]]\n val bool39 = !bool10\n val bool40 = allOf(\n Coll[Boolean](\n i2 == coll17.size, tuple33 == tuple34, tuple28 == tuple18, l11 == l35, coll36 == coll37, coll22 == opt38.get, bool39, anyOf(\n Coll[Boolean](opt5 != opt30, opt25 != opt32, opt26 != opt31)\n )\n )\n )\n val i41 = OUTPUTS.size\n val i42 = coll24.size\n if (bool12 && (!bool20)) {(\n val box43 = OUTPUTS(placeholder[Int](20))\n val tuple44 = box43.tokens(placeholder[Int](21))\n val tuple45 = coll1(placeholder[Int](22))\n val tuple46 = coll24(placeholder[Int](23))\n val coll47 = box23.R9[Coll[Long]].get\n val l48 = l7 * coll6(placeholder[Int](24)) / placeholder[Long](25)\n sigmaProp(\n allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](tuple44._1 == tuple45._1, tuple44._2 == tuple45._2, box43.propositionBytes == coll22)), allOf(\n Coll[Boolean](tuple46._1 == placeholder[Coll[Byte]](26), tuple46._2 == placeholder[Long](27))\n ), allOf(\n Coll[Boolean](\n box23.R4[Coll[Long]] == opt5, box23.R5[Coll[Coll[Byte]]] == opt25, box23.R6[Coll[Byte]] == opt21, box23.R7[Coll[Byte]] == opt26, box23.R8[\n Coll[Byte]\n ] == opt9\n )\n ), allOf(\n Coll[Boolean](\n coll47(placeholder[Int](28)) == l7 + l48, coll47(placeholder[Int](29)) == l48, coll47(placeholder[Int](30)) == l27 + coll6(placeholder[Int](31))\n )\n ), bool14, coll24(placeholder[Int](32)) == tuple28\n )\n )\n )\n )} else {\n if (bool29 && (!bool8)) {\n sigmaProp(allOf(Coll[Boolean](bool14, bool29, if (bool3) { coll1(placeholder[Int](33))._2 < l7 } else { placeholder[Boolean](34) })))\n } else { if (bool20) {(\n val bool43 = INPUTS(placeholder[Int](35)).propositionBytes == coll22\n if (bool12) { sigmaProp(allOf(Coll[Boolean](box23.propositionBytes == opt9.get, bool43, coll24(placeholder[Int](36)) == coll1(placeholder[Int](37)), bool20))) } else { sigmaProp(allOf(Coll[Boolean](bool43, bool20))) }\n )} else { if (bool40) { sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](opt5 == opt30, opt26 == opt31, tuple18 == tuple28, !box16.R8[Coll[Byte]].isDefined)), coll6.size == opt30.get.size, opt25.get.size == opt32.get.size, bool40, INPUTS(placeholder[Int](38)).propositionBytes == coll22))) } else { if (allOf(Coll[Boolean](i41 > placeholder[Int](39), i42 > placeholder[Int](40)))) { sigmaProp(if (i41 > placeholder[Int](41)) { allOf(Coll[Boolean](i2 == i42, tuple33 == coll24(placeholder[Int](42)), tuple28 == coll24(placeholder[Int](43)), coll1.getOrElse(placeholder[Int](44), tuple4) == coll24.getOrElse(placeholder[Int](45), tuple4), l11 == box23.value, coll36 == box23.propositionBytes, coll22 == box23.R6[Coll[Byte]].get, bool39, opt5 == box23.R4[Coll[Long]], opt25 == box23.R5[Coll[Coll[Byte]]], opt26 == box23.R7[Coll[Byte]])) } else { placeholder[Boolean](46) }) } else {(\n val bool43 = bool39 && bool14\n if (bool43) { sigmaProp(allOf(Coll[Boolean](bool43, box23.value == l11 - placeholder[Long](47), box23.propositionBytes == coll22))) } else { sigmaProp(allOf(Coll[Boolean](box16.R8[Coll[Byte]].isDefined, allOf(Coll[Boolean](tuple19._1 == opt26.get, tuple19._2 == l7)), allOf(Coll[Boolean](opt30 == opt5, opt32 == opt25, opt38 == opt21, opt31 == opt26, coll37 == coll36, tuple34 == tuple33, tuple18 == tuple28)), l35 >= placeholder[Long](48)))) }\n )} } } }\n }\n}",
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"assets": [
{
"tokenId": "1f6d5d1420f88a2fc34dcc0d6d47651092ca4b50dcb26ea1c7ba8a6a52f0fff5",
"index": 0,
"amount": 1,
"name": "Exle: SLT LoanBox Token V1.2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "4e663abb0aceec072f6b3aaf844cc3cf555424e9f2a293844c090940d86cefe5",
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"name": null,
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"type": null
}
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"R4": {
"serializedValue": "110580897aecd577ac02805aacbf77",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000000,980342,150,5760,978902]"
},
"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[43462074657374,4c6f6f6b696e6720746f2073656520686f772063726f77642066756e642077696c6c206c6f6f6b206f6e207468652066756e64206c6f616e2074616273]"
},
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"sigmaType": "Coll[SByte]",
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"sigmaType": "Coll[SByte]",
"renderedValue": "6ba45eb59947c2b7a19ec6cff038080776e2303c328b321832d32924dfc297c2"
}
},
"spentTransactionId": "cca9a6701095649bf0fff334d746a2f84e3a7382c79f3ac592e5e1c020686e39",
"mainChain": true
},
{
"boxId": "7026c949478fd4c0ee984427bef9224b35f7a07097dc526f68525477cd20b2ec",
"transactionId": "762b8bca912031a8cb3606d955e4e3b85324c940cca7da09968abae8a434159a",
"blockId": "cd8cdfde0e885eebb53337c0c822939fe1067e00579b1c282136af531d3bf6b8",
"value": 4000000,
"index": 2,
"globalIndex": 28147910,
"creationHeight": 978987,
"settlementHeight": 978990,
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"ergoTreeConstants": "0: 0\n1: Coll(78,102,58,-69,10,-50,-20,7,47,107,58,-81,-124,76,-61,-49,85,84,36,-23,-14,-94,-109,-124,76,9,9,64,-40,108,-17,-27)\n2: 1\n3: 0\n4: 0\n5: 0\n6: 0\n7: Coll(-108,9,2,35,-66,83,-12,113,38,-88,21,-101,-71,29,-48,5,-16,60,-18,-124,89,32,-111,28,71,-127,-59,31,-49,-20,-5,-53)\n8: 1\n9: 1\n10: 1\n11: 2\n12: 3\n13: 2\n14: 1\n15: 0\n16: Coll(41,-87,7,-27,-100,65,-48,-19,6,95,125,-5,27,-23,90,10,123,-97,115,-41,103,23,-16,81,42,-42,10,-86,123,106,79,38)\n17: 2\n18: 1\n19: 1\n20: false\n21: 1\n22: 0\n23: 1\n24: 2\n25: 1\n26: 0\n27: 1\n28: 0\n29: 0\n30: 1\n31: 1\n32: 1\n33: 1\n34: 2\n35: 0\n36: 0\n37: 0\n38: 0\n39: 0\n40: 0\n41: 0\n42: 0\n43: 0\n44: 4000000\n45: 1\n46: 1\n47: 1\n48: 2\n49: 2\n50: 2\n51: 1\n52: 2\n53: 1\n54: 2\n55: 2\n56: 0\n57: 2\n58: 1\n59: 1\n60: 1\n61: 1\n62: 1\n63: 1\n64: 0\n65: 1\n66: 0\n67: 1\n68: 1\n69: 0\n70: 1\n71: 1\n72: 1\n73: 0\n74: 0\n75: 1\n76: 1\n77: 1\n78: 0",
"ergoTreeScript": "{\n val coll1 = CONTEXT.dataInputs\n val box2 = coll1(placeholder[Int](0))\n val coll3 = box2.tokens\n val coll4 = placeholder[Coll[Byte]](1)\n val tuple5 = (Coll[Byte](placeholder[Byte](2)), placeholder[Long](3))\n val box6 = OUTPUTS(placeholder[Int](4))\n val coll7 = SELF.propositionBytes\n val coll8 = box6.tokens\n val coll9 = SELF.tokens\n val box10 = INPUTS(placeholder[Int](5))\n val tuple11 = coll3(placeholder[Int](6))\n val bool12 = allOf(Coll[Boolean](box2.propositionBytes == coll7, tuple11._1 == placeholder[Coll[Byte]](7), tuple11._2 == placeholder[Long](8)))\n val tuple13 = coll9.getOrElse(placeholder[Int](9), tuple5)\n val tuple14 = coll8.getOrElse(placeholder[Int](10), tuple5)\n val l15 = tuple14._2\n if (if ((coll3.size == placeholder[Int](11)) && (coll1.size == placeholder[Int](12))) {(\n val coll16 = coll1(placeholder[Int](13)).tokens\n allOf(\n Coll[Boolean](\n coll16(placeholder[Int](14))._1 == box2.R4[Coll[Byte]].get, coll16(placeholder[Int](15))._1 == placeholder[Coll[Byte]](16), box2.R6[\n Long\n ].get == placeholder[Long](17), coll3(placeholder[Int](18))._2 == placeholder[Long](19)\n )\n )\n )} else { placeholder[Boolean](20) }) {(\n val bool16 = box2.R4[Coll[Byte]].get == coll4\n val tuple17 = INPUTS(placeholder[Int](21)).tokens.getOrElse(placeholder[Int](22), tuple5)\n val coll18 = box2.R5[Coll[Byte]].get\n val coll19 = OUTPUTS(placeholder[Int](23)).tokens\n val opt20 = coll1(placeholder[Int](24)).R7[Coll[Byte]]\n val l21 = tuple17._2\n sigmaProp(allOf(Coll[Boolean](bool16, allOf(Coll[Boolean](bool16, tuple17._1 == coll18, if (coll19.size == placeholder[Int](25)) {(\n val tuple22 = coll19.getOrElse(placeholder[Int](26), tuple5)\n allOf(Coll[Boolean](tuple22._1 == opt20.get, tuple22._2 == l21))\n )} else {(\n val tuple22 = coll19.getOrElse(placeholder[Int](27), tuple5)\n val coll23 = tuple22._1\n allOf(Coll[Boolean](coll23 == opt20.get, tuple22._2 == l21 - coll19.getOrElse(placeholder[Int](28), tuple5)._2, coll23 == coll18))\n )})), box6.propositionBytes == coll7)))\n )} else {\n if (allOf(\n Coll[Boolean](\n (SELF.id == box10.id) && (coll7 == OUTPUTS(placeholder[Int](29)).propositionBytes), tuple13._2 < l15, l15 != placeholder[Long](\n 30\n ), tuple13._1 == tuple14._1\n )\n )) {(\n val coll16 = INPUTS.slice(placeholder[Int](31), INPUTS.size + placeholder[Int](32))\n val coll17 = box2.R5[Coll[Byte]].get\n val box18 = OUTPUTS(placeholder[Int](33))\n val coll19 = box18.tokens\n val coll20 = coll1(placeholder[Int](34)).R7[Coll[Byte]].get\n sigmaProp(\n allOf(\n Coll[Boolean](\n box2.R6[Long].get == placeholder[Long](35), allOf(\n Coll[Boolean](\n coll16.flatMap({(box21: Box) => box21.tokens.filter({(tuple23: (Coll[Byte], Long)) => tuple23._1 == coll17 }) }).fold(\n placeholder[Long](36), {(tuple21: (Long, (Coll[Byte], Long))) => tuple21._1 + tuple21._2._2 }\n ) - coll19.filter({(tuple21: (Coll[Byte], Long)) => tuple21._1 == coll17 }).fold(\n placeholder[Long](37), {(tuple21: (Long, (Coll[Byte], Long))) => tuple21._1 + tuple21._2._2 }\n ) == coll19.filter({(tuple21: (Coll[Byte], Long)) => tuple21._1 == coll20 }).fold(\n placeholder[Long](38), {(tuple21: (Long, (Coll[Byte], Long))) => tuple21._1 + tuple21._2._2 }\n ) - coll16.flatMap({(box21: Box) => box21.tokens.filter({(tuple23: (Coll[Byte], Long)) => tuple23._1 == coll20 }) }).fold(\n placeholder[Long](39), {(tuple21: (Long, (Coll[Byte], Long))) => tuple21._1 + tuple21._2._2 }\n ), coll8.filter({(tuple21: (Coll[Byte], Long)) => tuple21._1 == coll17 }).fold(\n placeholder[Long](40), {(tuple21: (Long, (Coll[Byte], Long))) => tuple21._1 + tuple21._2._2 }\n ) - coll9.filter({(tuple21: (Coll[Byte], Long)) => tuple21._1 == coll17 }).fold(\n placeholder[Long](41), {(tuple21: (Long, (Coll[Byte], Long))) => tuple21._1 + tuple21._2._2 }\n ) == coll9.filter({(tuple21: (Coll[Byte], Long)) => tuple21._1 == coll20 }).fold(\n placeholder[Long](42), {(tuple21: (Long, (Coll[Byte], Long))) => tuple21._1 + tuple21._2._2 }\n ) - coll8.filter({(tuple21: (Coll[Byte], Long)) => tuple21._1 == coll20 }).fold(\n placeholder[Long](43), {(tuple21: (Long, (Coll[Byte], Long))) => tuple21._1 + tuple21._2._2 }\n )\n )\n ), coll16.forall({(box21: Box) => box21.propositionBytes == box18.propositionBytes })\n )\n )\n )\n )} else {(\n val opt16 = box2.R4[Coll[Byte]]\n val opt17 = box2.R5[Coll[Byte]]\n val bool18 = SELF.value == placeholder[Long](44)\n if (box2.R6[Long].get == placeholder[Long](45)) {(\n val box19 = OUTPUTS(placeholder[Int](46))\n val coll20 = opt17.get\n val coll21 = box19.tokens\n val tuple22 = coll21(placeholder[Int](47))\n val tuple23 = coll8(placeholder[Int](48))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box19.propositionBytes == coll7, allOf(\n Coll[Boolean](opt16.get == box19.R4[Coll[Byte]].get, coll20 == box19.R5[Coll[Byte]].get, box19.R6[Long].get == placeholder[Long](49))\n ), allOf(\n Coll[Boolean](\n allOf(Coll[Boolean](coll21.size == placeholder[Int](50), tuple22._1 == coll20, tuple22._2 == placeholder[Long](51))), allOf(\n Coll[Boolean](tuple23._1 == box10.R7[Coll[Byte]].get, tuple23._2 == coll9(placeholder[Int](52))._2)\n )\n )\n ), box10.tokens(placeholder[Int](53))._1 == coll4, bool12, bool18\n )\n )\n )\n )} else {(\n val tuple19 = coll8(placeholder[Int](54))\n val l20 = tuple19._2\n val box21 = coll1(placeholder[Int](55))\n val l22 = box21.R4[Coll[Long]].get(placeholder[Int](56))\n val bool23 = l20 == l22\n val coll24 = box21.R7[Coll[Byte]].get\n val bool25 = tuple19._1 == coll24\n val l26 = l20 - coll9.getOrElse(placeholder[Int](57), tuple5)._2\n val coll27 = opt17.get\n val coll28 = opt16.get\n sigmaProp(allOf(Coll[Boolean](allOf(Coll[Boolean](if (bool23) {(\n val tuple29 = coll8(placeholder[Int](58))\n allOf(Coll[Boolean](tuple29._2 == placeholder[Long](59), tuple29._1 == coll9(placeholder[Int](60))._1, bool25))\n )} else {(\n val tuple29 = coll9(placeholder[Int](61))\n val tuple30 = coll8(placeholder[Int](62))\n allOf(Coll[Boolean](tuple29._2 - tuple30._2 == l26, tuple30._1 == tuple29._1, bool25))\n )}, OUTPUTS(placeholder[Int](63)).tokens.filter({(tuple29: (Coll[Byte], Long)) => tuple29._1 == coll27 }).fold(placeholder[Long](64), {(tuple29: (Long, (Coll[Byte], Long))) => tuple29._1 + tuple29._2._2 }) - INPUTS(placeholder[Int](65)).tokens.filter({(tuple29: (Coll[Byte], Long)) => tuple29._1 == coll27 }).fold(placeholder[Long](66), {(tuple29: (Long, (Coll[Byte], Long))) => tuple29._1 + tuple29._2._2 }) == l26)), allOf(Coll[Boolean](bool25, box21.tokens(placeholder[Int](67))._1 == coll28)), allOf(Coll[Boolean](coll28 == box6.R4[Coll[Byte]].get, coll27 == box6.R5[Coll[Byte]].get)), if (bool23) { allOf(Coll[Boolean](box6.R6[Long].get == placeholder[Long](68), coll8(placeholder[Int](69))._2 == placeholder[Long](70), coll8(placeholder[Int](71))._2 == placeholder[Long](72), bool23)) } else { allOf(Coll[Boolean](box6.R6[Long].get == placeholder[Long](73), coll8(placeholder[Int](74))._2 == placeholder[Long](75), coll8(placeholder[Int](76))._2 != placeholder[Long](77))) }, box6.propositionBytes == coll7, bool12, bool18, coll8.filter({(tuple29: (Coll[Byte], Long)) => tuple29._1 == coll24 }).fold(placeholder[Long](78), {(tuple29: (Long, (Coll[Byte], Long))) => tuple29._1 + tuple29._2._2 }) <= l22)))\n )}\n )}\n }\n}",
"address": "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",
"assets": [
{
"tokenId": "94090223be53f47126a8159bb91dd005f03cee845920911c4781c51fcfecfbcb",
"index": 0,
"amount": 1,
"name": "Exle: SLT CrowdFund Token V1.2",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "8a2a72c0f9167cf9bb04a8f4e89fde73689928e88aacfb180ff167ffc9d450a8",
"index": 1,
"amount": 9223372036854776000,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e204e663abb0aceec072f6b3aaf844cc3cf555424e9f2a293844c090940d86cefe5",
"sigmaType": "Coll[SByte]",
"renderedValue": "4e663abb0aceec072f6b3aaf844cc3cf555424e9f2a293844c090940d86cefe5"
},
"R5": {
"serializedValue": "0e208a2a72c0f9167cf9bb04a8f4e89fde73689928e88aacfb180ff167ffc9d450a8",
"sigmaType": "Coll[SByte]",
"renderedValue": "8a2a72c0f9167cf9bb04a8f4e89fde73689928e88aacfb180ff167ffc9d450a8"
},
"R6": {
"serializedValue": "0500",
"sigmaType": "SLong",
"renderedValue": "0"
}
},
"spentTransactionId": "5ee6294dc4fb96de4885449aae24c0de23295d071cb2a1963d78c56cde83d87d",
"mainChain": true
},
{
"boxId": "2e46414fdfa9773683603b5b957881761ebcb026146b2536ef92eee51a602b21",
"transactionId": "762b8bca912031a8cb3606d955e4e3b85324c940cca7da09968abae8a434159a",
"blockId": "cd8cdfde0e885eebb53337c0c822939fe1067e00579b1c282136af531d3bf6b8",
"value": 100000000,
"index": 3,
"globalIndex": 28147911,
"creationHeight": 978987,
"settlementHeight": 978990,
"ergoTree": "0008cd024f716db88462f0c69b98d20cc281c0e51d6d1aa9ab79aa266e68b2eada18a18c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4f716d,970b15,...)))}",
"address": "9f83nJY4x9QkHmeek6PJMcTrf2xcaHAT3j5HD5sANXibXjMUixn",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "41eab0780824f00b8e3a5119c1649b6341aaf82f5f2bd8b6d0a7f4ffd53dcf41",
"mainChain": true
},
{
"boxId": "ba2e44e74a26bfc692f7155a10031d22ec13bf47830dec9469dab84244914d7c",
"transactionId": "762b8bca912031a8cb3606d955e4e3b85324c940cca7da09968abae8a434159a",
"blockId": "cd8cdfde0e885eebb53337c0c822939fe1067e00579b1c282136af531d3bf6b8",
"value": 1000000,
"index": 4,
"globalIndex": 28147912,
"creationHeight": 978987,
"settlementHeight": 978990,
"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": "29354261aabeede9208ff3a339b9a158c63d1a302e457820e4e544d6a393ac29",
"mainChain": true
},
{
"boxId": "2ca6fea39729fd2ad2dc38fc2fe7fb1ce07bf95b52e66ccd97453351958aead5",
"transactionId": "762b8bca912031a8cb3606d955e4e3b85324c940cca7da09968abae8a434159a",
"blockId": "cd8cdfde0e885eebb53337c0c822939fe1067e00579b1c282136af531d3bf6b8",
"value": 95000000,
"index": 5,
"globalIndex": 28147913,
"creationHeight": 978987,
"settlementHeight": 978990,
"ergoTree": "0008cd024f716db88462f0c69b98d20cc281c0e51d6d1aa9ab79aa266e68b2eada18a18c",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(4f716d,970b15,...)))}",
"address": "9f83nJY4x9QkHmeek6PJMcTrf2xcaHAT3j5HD5sANXibXjMUixn",
"assets": [],
"additionalRegisters": {},
"spentTransactionId": "41eab0780824f00b8e3a5119c1649b6341aaf82f5f2bd8b6d0a7f4ffd53dcf41",
"mainChain": true
}
],
"size": 5146,
"isUnconfirmed": false
}