Transaction
ID: 928bcc0dcb...2256
Inputs (9)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
2.61 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
930
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Outputs (5)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
990
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
10
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.61 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 624,796
Total coins transferred: 2.62 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000494 ERG
Raw Transaction Data
{
"id": "928bcc0dcb313a75d73cbf24cf27ae18d32b66515a26fb66b580e09355002256",
"blockId": "81f20e9a21a666006813960bae8be6ea498e6695af35b27551daa0c6a24027dc",
"inclusionHeight": 1142784,
"timestamp": 1700981578857,
"index": 23,
"globalIndex": 6174720,
"numConfirmations": 624796,
"inputs": [
{
"boxId": "85076909202789655e7a28cd0eaeef3605eb454bbfe095b4debca0da9aea49af",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "10d9175c65cc082d6c7efcdb60e13330a465bdcccf1dc158655eac23c1525c7c",
"outputTransactionId": "a24eb37d85066d5597f82808178e16db40c5a653cf9a2ba73c94b93d941aaa6a",
"outputIndex": 4,
"outputGlobalIndex": 34475331,
"outputCreatedAt": 1140011,
"outputSettledAt": 1140023,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c]"
}
}
},
{
"boxId": "33ce43ee9b20fe6aa4e853cb3c504cb5976bd4dd911980d65498d93326aa180f",
"value": 2609540000,
"index": 1,
"spendingProof": "c96c60ea8569fb6a362ead4951c70f59aa24a873049644b49eb4656e4978c01ef46aa9356453d206e380f5a6ae5b6cdaa36314be2a6a1c7f",
"outputBlockId": "38b8f7c29af6ea9fb1549f0bfa3bab161e40cc9aaf835145839c478885b0dec4",
"outputTransactionId": "711cdba211b442f1d1b753e37183adaab290af6f592b8994a59172e6701100ca",
"outputIndex": 1,
"outputGlobalIndex": 34474609,
"outputCreatedAt": 1140006,
"outputSettledAt": 1140008,
"ergoTree": "0008cd022db1e7ce847be1e892bda6bfd0b8ea5f12497bd2f075d7aad5ab37d327dbfcf8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2db1e7,61f44d,...)))}",
"address": "9esBjMR99man7D2h24LR7oyR2h6bDbRoZx9MPT8ZcBZH2Jd2p1o",
"assets": [
{
"tokenId": "e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c",
"index": 0,
"amount": 1,
"name": "WID-2Jd2p1o",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 87592,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "f8fe64d3d94d4eb193ea9d6304646db67bd914ed42cebd3a4f614d9d9de75cf0",
"index": 2,
"amount": 18090070080,
"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "0fdb7ff8b37479b6eb7aab38d45af2cfeefabbefdc7eebc0348d25dd65bc2c91",
"index": 3,
"amount": 69,
"name": "$Lambo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0d1661fab46180353cd01b5b88176f278b8609e1cecc2e3f5cc1e2582615ba18",
"index": 4,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {}
},
{
"boxId": "fa1b817b1a0dd5d8be3816ef3a05f0bb3b176b2fbaaa5ef32de83b15857635d7",
"value": 1100000,
"index": 2,
"spendingProof": null,
"outputBlockId": "32e74aaaa804604c5d98e65af4bc2a298136db0fdc1dbf8004624d661a0ddbb6",
"outputTransactionId": "8ec6fc1e8985e366fae0f5cffb273a7facd9daff71e234812d6558a16aaf3302",
"outputIndex": 3,
"outputGlobalIndex": 34475115,
"outputCreatedAt": 1140003,
"outputSettledAt": 1140016,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 888,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c]"
}
}
},
{
"boxId": "e584b77ba8f9686528509c40a952335dcbdcd780503c007258b03447e49046e2",
"value": 1100000,
"index": 3,
"spendingProof": null,
"outputBlockId": "ef35039481cb5999c20c526bc9a16f1c3aa6c5562c75178586dae4069d0579b2",
"outputTransactionId": "1b72651f60f95ef987c626f7ff10b50253ad95512b221eff7508fdaf306bc4ee",
"outputIndex": 6,
"outputGlobalIndex": 34475018,
"outputCreatedAt": 1140000,
"outputSettledAt": 1140014,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c]"
}
}
},
{
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"value": 1100000,
"index": 4,
"spendingProof": null,
"outputBlockId": "a58a502b014b1f14684f2be103cbaf37c383e93b065cec6efe64832edb483a9c",
"outputTransactionId": "930f9cbd7cef99ec7b28ea5388fcb052e45e775fd6da3d2c39599b5ca5994c88",
"outputIndex": 4,
"outputGlobalIndex": 34474403,
"outputCreatedAt": 1139994,
"outputSettledAt": 1139999,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c]"
}
}
},
{
"boxId": "827e07352cf200e77643d81a5453f68427803930e820eb47ae6d25e5f1ef64a7",
"value": 1100000,
"index": 5,
"spendingProof": null,
"outputBlockId": "a58a502b014b1f14684f2be103cbaf37c383e93b065cec6efe64832edb483a9c",
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"outputGlobalIndex": 34474356,
"outputCreatedAt": 1139997,
"outputSettledAt": 1139999,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
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"amount": 888,
"name": "RSN-loen",
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}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c]"
}
}
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"index": 6,
"spendingProof": null,
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"outputGlobalIndex": 34474336,
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"ergoTree": "10160400040004000404040004020e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e3040404000400040204000101040004000400040005000e20f6ebb4f4e3afacd9e665faacece987a12a3d1f7990717543997239f9f744a1ee040404000400d808d601b2a5730000d602b2db63087201730100d6038c720201d6048cb2db6308a773020001d605aeb5b4a57303b1a5d901056391b1db630872057304d9010563aedb63087205d901074d0e938c7207017204d606e4c6a7041ad607b2a5730500d608db63087207959372037306d196830301ef7205938cb2db6308b2a473070073080001b2720673090095ae7208d901094d0e938c72090172049683040193c5a7c5b2a4730a00938cb27208730b0001720493c27207c2a7937206e4c67207041a730cd802d609b27208730d00d60ac2a7d196830c019372037204938c72090299b0adb5a4d9010b63d801d60ddb6308720bed91b1720d730e938cb2720d730f00017204d9010b638cb2db6308720b731000027311d9010b599a8c720b018c720b028c720202938c720901720493cbc272077312e6c67207051ae6c67207060e93e4c67207070ecb720a93e4c67207041a7206ef720593c27201720a93e4c67201041a7206938cb2db6308b2a573130073140001b27206731500",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c]"
}
}
},
{
"boxId": "dcfb9102c1f7c2539445e9ba212a7b4ea4d797dc1e91785d30c5d8a2e9a226c1",
"value": 1100000,
"index": 7,
"spendingProof": null,
"outputBlockId": "e1d12d585f4ed3df997face91c5e0e955296154ef03952aa0cb95cdc04662518",
"outputTransactionId": "def38873bad41e585960020f9d6c2f73e74aae2a8d7a01264b82dc9a2a0a429c",
"outputIndex": 0,
"outputGlobalIndex": 34474077,
"outputCreatedAt": 1139984,
"outputSettledAt": 1139987,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 930000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c]"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
}
},
{
"boxId": "67a6deb17f09868ebd00aa6a2acc666146a84a6bb6b53f21ed6d3532cc6b88a1",
"value": 1100000,
"index": 8,
"spendingProof": null,
"outputBlockId": "9957222c802efcb093d1f13d1ed7bea9586671f79e003a8767ba9b1b123d040b",
"outputTransactionId": "fe972ebd03accdf6010557e0334081280310b5ebcb263fc1beb10cf27649e937",
"outputIndex": 1,
"outputGlobalIndex": 34473776,
"outputCreatedAt": 1139980,
"outputSettledAt": 1139983,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 800,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c]"
}
}
}
],
"dataInputs": [],
"outputs": [
{
"boxId": "8779cab63ac3897a19deb1a71e995d5f524d0ad1e78ac5c8f99d46adf06a7090",
"transactionId": "928bcc0dcb313a75d73cbf24cf27ae18d32b66515a26fb66b580e09355002256",
"blockId": "81f20e9a21a666006813960bae8be6ea498e6695af35b27551daa0c6a24027dc",
"value": 1100000,
"index": 0,
"globalIndex": 34577411,
"creationHeight": 1142780,
"settlementHeight": 1142784,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 2\n4: 0\n5: 1\n6: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n7: 2\n8: 0\n9: 0\n10: 1\n11: 0\n12: true\n13: 0\n14: 0\n15: 0\n16: 0\n17: 0\n18: Coll(-10,-21,-76,-12,-29,-81,-84,-39,-26,101,-6,-84,-20,-23,-121,-95,42,61,31,121,-112,113,117,67,-103,114,57,-7,-9,68,-95,-18)\n19: 2\n20: 0\n21: 0",
"ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val tuple2 = box1.tokens(placeholder[Int](1))\n val coll3 = tuple2._1\n val coll4 = SELF.tokens(placeholder[Int](2))._1\n val bool5 = OUTPUTS.slice(placeholder[Int](3), OUTPUTS.size).filter({(box5: Box) => box5.tokens.size > placeholder[Int](4) }).exists(\n {(box5: Box) => box5.tokens.exists({(tuple7: (Coll[Byte], Long)) => tuple7._1 == coll4 }) }\n )\n val coll6 = SELF.R4[Coll[Coll[Byte]]].get\n val box7 = OUTPUTS(placeholder[Int](5))\n val coll8 = box7.tokens\n if (coll3 == placeholder[Coll[Byte]](6)) {\n sigmaProp(\n allOf(\n Coll[Boolean](\n !bool5, INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == coll6(placeholder[Int](9)), if (coll8.exists(\n {(tuple9: (Coll[Byte], Long)) => tuple9._1 == coll4 }\n )) {\n allOf(\n Coll[Boolean](\n SELF.id == INPUTS(placeholder[Int](10)).id, coll8(\n placeholder[Int](11)\n )._1 == coll4, box7.propositionBytes == SELF.propositionBytes, coll6 == box7.R4[Coll[Coll[Byte]]].get\n )\n )\n } else { placeholder[Boolean](12) }\n )\n )\n )\n } else {(\n val tuple9 = coll8(placeholder[Int](13))\n val coll10 = SELF.propositionBytes\n sigmaProp(allOf(Coll[Boolean](coll3 == coll4, tuple9._2 == INPUTS.filter({(box11: Box) =>\n val coll13 = box11.tokens\n (coll13.size > placeholder[Int](14)) && (coll13(placeholder[Int](15))._1 == coll4)\n }).map({(box11: Box) => box11.tokens(placeholder[Int](16))._2 }).fold(placeholder[Long](17), {(tuple11: (Long, Long)) => tuple11._1 + tuple11._2 }) - tuple2._2, tuple9._1 == coll4, blake2b256(box7.propositionBytes) == placeholder[Coll[Byte]](18), box7.R5[Coll[Coll[Byte]]].isDefined, box7.R6[Coll[Byte]].isDefined, box7.R7[Coll[Byte]].get == blake2b256(coll10), box7.R4[Coll[Coll[Byte]]].get == coll6, !bool5, box1.propositionBytes == coll10, box1.R4[Coll[Coll[Byte]]].get == coll6, OUTPUTS(placeholder[Int](19)).tokens(placeholder[Int](20))._1 == coll6(placeholder[Int](21)))))\n )}\n}",
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"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 990000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c]"
},
"R5": {
"serializedValue": "1a010100",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[00]"
}
},
"spentTransactionId": "e454b5cab47c0402dea3ae4a5b4e5b3337d8fd7448927b4e54be99c579cb0b4b",
"mainChain": true
},
{
"boxId": "31be6cd3613f9bbc35d3638c5f6b4c4e00023aeebe56813ef3e9da19633ea5f6",
"transactionId": "928bcc0dcb313a75d73cbf24cf27ae18d32b66515a26fb66b580e09355002256",
"blockId": "81f20e9a21a666006813960bae8be6ea498e6695af35b27551daa0c6a24027dc",
"value": 1100000,
"index": 1,
"globalIndex": 34577412,
"creationHeight": 1142780,
"settlementHeight": 1142784,
"ergoTree": "101f04000e20f28a05677bce5adf234c00e423cab1acdd1d3f23610a82e8bc0a5f658eda8aa80400020004020400040004000400040004000400040604040402050205c8010400040004000e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e30402050004020400040004000400040204000400d80ad601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607e4c67205051ad608b072078301027303d901083c0e0eb38c7208018c720802d609b472087304b17208d60ab2a5730500957203d803d60bb2b5a5d9010b63d801d60dc6720b041aede6720d93e4720d7204730600d60cb2db6308720b730700d60db2db6308a7730800d19683050193cbc2720be4c6a7070e938c720c018c720d01938c720c028c720d02efae7206d9010e0e93720483010e720e93cbb37209b27204730900e4c6a7060ed801d60bcbc2720a9593720b7202d80cd60cb2db6501fe730a00d60ddb6308720cd60eb2db6308a7730b00d60f8c720e01d610b5a4d901106393c2a7c27210d611b17210d6127e721105d613e4c6720c0611d614b27213730c00d6159ab27213730d009d9cb27213730e00997eb1e4c6720c041a05730f7310d616b27213731100d617b2db63087205731200d196830d01938cb2720d731300017314938cb2720d73150001720f92c1720ab0ad7210d9011863c172187316d90118599a8c7218018c72180293b1b57210d901186393e4c67218041a72047317ae7206d901180e9383010e7218720493e4c67205060ee4c6a7070e93b17206721193cbb37209b27204731800e4c6a7060e93e4c6a7051a83010ecbb27207731900917212958f7214721572147215938c720e027216938c7217029c72167212938c721701720fd802d60cb2db6308720a731a00d60db2db6308a7731b00d19683060193c5a7c57201938c720c018c720d01938c720c028c720d0293e4c6720a041a7204938cb2db6308b2a4731c00731d0001b27204731e0093720be4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-14,-118,5,103,123,-50,90,-33,35,76,0,-28,35,-54,-79,-84,-35,29,63,35,97,10,-126,-24,-68,10,95,101,-114,-38,-118,-88)\n2: 0\n3: 0\n4: 1\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 3\n13: 2\n14: 1\n15: 1\n16: 100\n17: 0\n18: 0\n19: 0\n20: Coll(-110,58,-87,85,-12,-15,-74,116,9,4,78,-30,-117,120,-69,108,-81,-10,73,-55,-34,69,-95,-110,-3,49,55,3,116,61,-40,-29)\n21: 1\n22: 0\n23: 1\n24: 0\n25: 0\n26: 0\n27: 0\n28: 1\n29: 0\n30: 0",
"ergoTreeScript": "{\n val box1 = INPUTS(placeholder[Int](0))\n val coll2 = placeholder[Coll[Byte]](1)\n val bool3 = blake2b256(box1.propositionBytes) == coll2\n val coll4 = SELF.R4[Coll[Coll[Byte]]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R4[Coll[Coll[Byte]]].get\n val coll7 = box5.R5[Coll[Coll[Byte]]].get\n val coll8 = coll7.fold(Coll[Byte](placeholder[Byte](3)), {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val coll9 = coll8.slice(placeholder[Int](4), coll8.size)\n val box10 = OUTPUTS(placeholder[Int](5))\n if (bool3) {(\n val box11 = OUTPUTS.filter({(box11: Box) =>\n val opt13 = box11.R4[Coll[Coll[Byte]]]\n opt13.isDefined && (opt13.get == coll4)\n })(placeholder[Int](6))\n val tuple12 = box11.tokens(placeholder[Int](7))\n val tuple13 = SELF.tokens(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box11.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, !coll6.exists(\n {(coll14: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll14) }\n ), blake2b256(coll9.append(coll4(placeholder[Int](9)))) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll11 = blake2b256(box10.propositionBytes)\n if (coll11 == coll2) {(\n val box12 = CONTEXT.dataInputs(placeholder[Int](10))\n val coll13 = box12.tokens\n val tuple14 = SELF.tokens(placeholder[Int](11))\n val coll15 = tuple14._1\n val coll16 = INPUTS.filter({(box16: Box) => SELF.propositionBytes == box16.propositionBytes })\n val i17 = coll16.size\n val l18 = i17.toLong\n val coll19 = box12.R6[Coll[Long]].get\n val l20 = coll19(placeholder[Int](12))\n val l21 = coll19(placeholder[Int](13)) + coll19(placeholder[Int](14)) * box12.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](15) / placeholder[\n Long\n ](16)\n val l22 = coll19(placeholder[Int](17))\n val tuple23 = box5.tokens(placeholder[Int](18))\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll13(placeholder[Int](19))._1 == placeholder[Coll[Byte]](20), coll13(placeholder[Int](21))._1 == coll15, box10.value >= coll16.map(\n {(box24: Box) => box24.value }\n ).fold(placeholder[Long](22), {(tuple24: (Long, Long)) => tuple24._1 + tuple24._2 }), coll16.filter(\n {(box24: Box) => box24.R4[Coll[Coll[Byte]]].get == coll4 }\n ).size == placeholder[Int](23), coll6.exists({(coll24: Coll[Byte]) => Coll[Coll[Byte]](coll24) == coll4 }), box5.R6[Coll[Byte]].get == SELF.R7[\n Coll[Byte]\n ].get, coll6.size == i17, blake2b256(coll9.append(coll4(placeholder[Int](24)))) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[\n Coll[Byte]\n ](blake2b256(coll7(placeholder[Int](25)))), l18 > if (l20 < l21) { l20 } else {\n l21\n }, tuple14._2 == l22, tuple23._2 == l22 * l18, tuple23._1 == coll15\n )\n )\n )\n )} else {(\n val tuple12 = box10.tokens(placeholder[Int](26))\n val tuple13 = SELF.tokens(placeholder[Int](27))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple12._1 == tuple13._1, tuple12._2 == tuple13._2, box10.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](28)\n ).tokens(placeholder[Int](29))._1 == coll4(placeholder[Int](30)), coll11 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c]"
},
"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e502c8d7d1b508fbb8074fde34fd7dbbc97feb43e19644f40b6cba24f8d6874f]"
},
"R6": {
"serializedValue": "0e20b50b1849a11423c8e898a6e5ecf29ea8114d5177db634a825d65f836c2d41ae1",
"sigmaType": "Coll[SByte]",
"renderedValue": "b50b1849a11423c8e898a6e5ecf29ea8114d5177db634a825d65f836c2d41ae1"
},
"R7": {
"serializedValue": "0e20a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849",
"sigmaType": "Coll[SByte]",
"renderedValue": "a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849"
}
},
"spentTransactionId": "71ea22254e9c2c49acf65ca082e1c7de0d8c4e799887a3991770f5c4410440e8",
"mainChain": true
},
{
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"transactionId": "928bcc0dcb313a75d73cbf24cf27ae18d32b66515a26fb66b580e09355002256",
"blockId": "81f20e9a21a666006813960bae8be6ea498e6695af35b27551daa0c6a24027dc",
"value": 2613940000,
"index": 2,
"globalIndex": 34577413,
"creationHeight": 1142780,
"settlementHeight": 1142784,
"ergoTree": "0008cd022db1e7ce847be1e892bda6bfd0b8ea5f12497bd2f075d7aad5ab37d327dbfcf8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2db1e7,61f44d,...)))}",
"address": "9esBjMR99man7D2h24LR7oyR2h6bDbRoZx9MPT8ZcBZH2Jd2p1o",
"assets": [
{
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"index": 0,
"amount": 1,
"name": "WID-2Jd2p1o",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "71ea22254e9c2c49acf65ca082e1c7de0d8c4e799887a3991770f5c4410440e8",
"mainChain": true
},
{
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"transactionId": "928bcc0dcb313a75d73cbf24cf27ae18d32b66515a26fb66b580e09355002256",
"blockId": "81f20e9a21a666006813960bae8be6ea498e6695af35b27551daa0c6a24027dc",
"value": 1100000,
"index": 3,
"globalIndex": 34577414,
"creationHeight": 1142780,
"settlementHeight": 1142784,
"ergoTree": "0008cd022db1e7ce847be1e892bda6bfd0b8ea5f12497bd2f075d7aad5ab37d327dbfcf8",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(2db1e7,61f44d,...)))}",
"address": "9esBjMR99man7D2h24LR7oyR2h6bDbRoZx9MPT8ZcBZH2Jd2p1o",
"assets": [
{
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"index": 0,
"amount": 90168,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 1,
"amount": 18090070080,
"name": "rptconfRSNV1",
"decimals": 3,
"type": "EIP-004"
},
{
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"index": 2,
"amount": 69,
"name": "$Lambo",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "0d1661fab46180353cd01b5b88176f278b8609e1cecc2e3f5cc1e2582615ba18",
"index": 3,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {},
"spentTransactionId": "1a0ce89042cef99b472e6f65e2890295769f637825e46127879fdacd970efdc1",
"mainChain": true
},
{
"boxId": "8d19b28712cb286253222d3c951263a47f0a8dd41c99763469bfa60c74e966d8",
"transactionId": "928bcc0dcb313a75d73cbf24cf27ae18d32b66515a26fb66b580e09355002256",
"blockId": "81f20e9a21a666006813960bae8be6ea498e6695af35b27551daa0c6a24027dc",
"value": 1100000,
"index": 4,
"globalIndex": 34577415,
"creationHeight": 1142780,
"settlementHeight": 1142784,
"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": "5a15a347b27631e9d0750bea53e02dc15084fdbb8ead09300477f1df83324693",
"mainChain": true
}
],
"size": 2225,
"isUnconfirmed": false
}