Transaction
ID: 550955ff0c...6a63
Inputs (2)
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...
Outputs (2)
Unspent
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.001 ERG
Transaction Details
Confirmations: 783,729
Total coins transferred: 0.002 ERG
Fees: 0.001 ERG
Fees per byte: 0.000000585 ERG
Raw Transaction Data
{
"id": "550955ff0cf288ff4faf8c8489e706718d113fd54f43ce92a082b2bbeb9f6a63",
"blockId": "b85becc154e16bac1a37e2d4929e202e56a7e0f99690431f66ae9c989d99457d",
"inclusionHeight": 982589,
"timestamp": 1681510995950,
"index": 3,
"globalIndex": 5050205,
"numConfirmations": 783729,
"inputs": [
{
"boxId": "53226454bf9b0dbf1fa99ee26ef2b999d69d6de318bd8935910600e39de80bfc",
"value": 1000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "cd8cdfde0e885eebb53337c0c822939fe1067e00579b1c282136af531d3bf6b8",
"outputTransactionId": "762b8bca912031a8cb3606d955e4e3b85324c940cca7da09968abae8a434159a",
"outputIndex": 0,
"outputGlobalIndex": 28147908,
"outputCreatedAt": 978987,
"outputSettledAt": 978990,
"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": 9999999998,
"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": "b1af60ec0ee418adcd18fab8ca022a01a7998db0c6dda9d02ee2d74c0b0a6b19",
"value": 1000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "53aba1dd1a6538c35947852eba2465db9fe329d9663b3880d3725d052f2d3bfc",
"outputTransactionId": "968cbc86371706ec33cab71d2e645d940e75045d982ace57e7ea12e036316b77",
"outputIndex": 1,
"outputGlobalIndex": 28147765,
"outputCreatedAt": 978986,
"outputSettledAt": 978988,
"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": "e6ca3216d6161f7fa31aca4635fa89af9908c6f7e0a1e961da3b729d313415c4",
"index": 1,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "110580897a90d777ac02805ad0c077",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000000,980424,150,5760,978984]"
},
"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"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "e61b0e512632bd7e230993b983291bd6c332c3af50d86b5986f57913c6b70693",
"transactionId": "550955ff0cf288ff4faf8c8489e706718d113fd54f43ce92a082b2bbeb9f6a63",
"blockId": "b85becc154e16bac1a37e2d4929e202e56a7e0f99690431f66ae9c989d99457d",
"value": 1000000,
"index": 0,
"globalIndex": 28291838,
"creationHeight": 982586,
"settlementHeight": 982589,
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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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"index": 0,
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"name": "Exle: SLT Config Box V1.2",
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{
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{
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{
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"amount": 9999999998,
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"renderedValue": "[21264bcb0b21da52337bcf2c331f0e3d9463c2db5949dd0c9a69b938009691e4,01dec8c8e38ed190ecde0edcf5e5808fed47e41cfdb995d761d1d6414b332499]"
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"R8": {
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"sigmaType": "Coll[SLong]",
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"sigmaType": "Coll[SLong]",
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}
},
"spentTransactionId": null,
"mainChain": true
},
{
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"transactionId": "550955ff0cf288ff4faf8c8489e706718d113fd54f43ce92a082b2bbeb9f6a63",
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"index": 1,
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"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)}",
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"mainChain": true
}
],
"size": 1709,
"isUnconfirmed": false
}