Transaction
ID: 7e22c64c4a...dc8d
Inputs (11)
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
Tokens:
10
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
Tokens:
10
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
Tokens:
10
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
86.79
Spent
Address:
Output transaction:
Settlement height:
Value:
0.8978 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0099 ERG
Tokens:
90
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.8978 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 637,290
Total coins transferred: 0.9088 ERG
Fees: 0.0011 ERG
Fees per byte: 0.000000581 ERG
Raw Transaction Data
{
"id": "7e22c64c4afeda39d84796a2a363247233612a0a154ff20e9fb0d1271b84dc8d",
"blockId": "3d187b768c859fb1b7f24278b1ce3e1809d4190863587b77e1c3cc95a039d9f1",
"inclusionHeight": 1139992,
"timestamp": 1700645605992,
"index": 5,
"globalIndex": 6156077,
"numConfirmations": 637290,
"inputs": [
{
"boxId": "abe6507c2e570ec2276ce54b2935e9603f10be30bb863a8462339658c96fcbe1",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "5a131a2c0ba4f0f0144f663153e9390a4c8ec86d1017bdcea54778e244399390",
"outputTransactionId": "15bfa28d4b016ab4531a6cf39268ec98d86136535d5f969db4f3fad9f9945705",
"outputIndex": 1,
"outputGlobalIndex": 34473387,
"outputCreatedAt": 1139970,
"outputSettledAt": 1139973,
"ergoTree": "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",
"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}",
"address": "42fowRYzrFdVUp72m3adhSxKccy9fb3WArZhJshBQbrX4enNKzsbpMrzLn2vj5xTJRnmb7kS3hji11Avek1jxDRdPtsCGKLJRf5vfwqkZUX5FguaWs1jzHddcKuCVDbzYMfAsgfExJDmQJam7oS72fGkkVWxy8nxxdmjkDYSgUPCZDmUCJ389Fo5LjEVsvDqksNA7mU7sQLMxbW8mMPYpjcPSxpMq8BrsK3aiF125hE9DEcSiccaERUj71M1QgQvHmqXSKeKJcGxjv7a9HtJJpsQ8aHoQuz7rJiBPAwPiPCyDTUvhqcf3xe6b8S9YHkwFye4kTYctmWC5XiXE3ip9Z33QYtw9gBGzfcLNguRXis8p1WFawxRREeFvrt69VNzBw2XhziHZ1AnD6TFK85M8Wc9TyZmysBpZXzxP2josEhi3ePSGVrU7NF6PiBrprx71QwyM4C5gwMat8fUjUj9Bp6hYbUk8n3HJQr2hGw3rqfYXCznZsgbKjhnRECubgkWe8DBhF6EyHTFTB8V5EK4gcqNybrovZook2gBvaLeQcqhQiRZtvxiQrazPzu3QvbfjDgwazZN31qmFFtduood6EK87eBpqRsVZn8eZCjCd9trreoyvJBuXNd3rjgZiEvFQz8MDjBEsjQaPyt6foAw5Nu6PDinxCRW7WeYwRj5SZ3AtqRNAaCKN5KugrtiEegmT7Fvwcs3jnmXJqwHNcyHiNevMdCVF3U52EsWSxmCziK7pJ2TKPrzq1Fqi8JGE7NZTBgKiDNyc7z41XYrxp3ayXrdQzHb3VqSaxbqDqBymZmUfRVKtgnHS4hxQAFxn1oPdqv7hKniGQrHNcqKfajjXkeC5wm9RUaFBPG9f2hfnEU6ZcLYGfbZh8s3VDXj1rPsmgTPb8gMvLYurdpfhdt87vfdF5VTpfGiFLnYVGuxiGKg4ptFciSenyiRM8QFfRzv8gJjfYrSWDt2RkTNJdPLgTPHcixWV3a9uowQMA8uVWvaC7zvzhR7ka5MeEEsRM6ARQSxvazgaZggcTton6z",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01206a8162f121d36bfe4204870885979014ce0d1a644f965398b1a53333b934dd52",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6a8162f121d36bfe4204870885979014ce0d1a644f965398b1a53333b934dd52]"
},
"R5": {
"serializedValue": "1a0120906c3a126c9217a2c58c19d8ee5525ee6bff96cacacb180e71f9a8019f9061de",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[906c3a126c9217a2c58c19d8ee5525ee6bff96cacacb180e71f9a8019f9061de]"
},
"R6": {
"serializedValue": "0e20d494b7955f59630f12ce07786f57f20cc092358976427f6c7d08d18717e6e650",
"sigmaType": "Coll[SByte]",
"renderedValue": "d494b7955f59630f12ce07786f57f20cc092358976427f6c7d08d18717e6e650"
},
"R7": {
"serializedValue": "0e20a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849",
"sigmaType": "Coll[SByte]",
"renderedValue": "a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849"
}
}
},
{
"boxId": "1ec4edc7115ff64e99e43dd62775ec55ee8e206faf82429585cc8d36cfc1901b",
"value": 1100000,
"index": 1,
"spendingProof": null,
"outputBlockId": "5a131a2c0ba4f0f0144f663153e9390a4c8ec86d1017bdcea54778e244399390",
"outputTransactionId": "a9a2fbccc49b30d612b5218d06f3aa8b00bd532f50c8c97d014b127433854405",
"outputIndex": 1,
"outputGlobalIndex": 34473391,
"outputCreatedAt": 1139970,
"outputSettledAt": 1139973,
"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}",
"address": "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",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[08301e5c818abc014ecf2b674fea5f8121a13c11e19dfd6d5e4114fd6e33dc22]"
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"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[906c3a126c9217a2c58c19d8ee5525ee6bff96cacacb180e71f9a8019f9061de]"
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"sigmaType": "Coll[SByte]",
"renderedValue": "9334fe9660a28bbf14d7abc4d0636a4b22d36cc88a1f8e62e5ed5d4e4352f4ae"
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"sigmaType": "Coll[SByte]",
"renderedValue": "a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849"
}
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{
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"value": 1100000,
"index": 2,
"spendingProof": null,
"outputBlockId": "5a131a2c0ba4f0f0144f663153e9390a4c8ec86d1017bdcea54778e244399390",
"outputTransactionId": "e6f4ae622fe5a50caf4c2e0daf2c527ca12137a663b83a558391d60f09c29293",
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"outputGlobalIndex": 34473395,
"outputCreatedAt": 1139970,
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"ergoTree": "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",
"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": "1a0120818f8212780151192d7398599368acac539525e32e5f73cf47644090d98a8bb9",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[818f8212780151192d7398599368acac539525e32e5f73cf47644090d98a8bb9]"
},
"R5": {
"serializedValue": "1a0120906c3a126c9217a2c58c19d8ee5525ee6bff96cacacb180e71f9a8019f9061de",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[906c3a126c9217a2c58c19d8ee5525ee6bff96cacacb180e71f9a8019f9061de]"
},
"R6": {
"serializedValue": "0e208d2ed7ddc55879df5fc80c56c41d8a4139391b6d9e62f9c711ff883aebaa37ef",
"sigmaType": "Coll[SByte]",
"renderedValue": "8d2ed7ddc55879df5fc80c56c41d8a4139391b6d9e62f9c711ff883aebaa37ef"
},
"R7": {
"serializedValue": "0e20a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849",
"sigmaType": "Coll[SByte]",
"renderedValue": "a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849"
}
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{
"boxId": "4fa8e7bb3617cebd3e31d86062868a2a494bd0c0ec70c05fd9e032c36f017f60",
"value": 1100000,
"index": 3,
"spendingProof": null,
"outputBlockId": "5a131a2c0ba4f0f0144f663153e9390a4c8ec86d1017bdcea54778e244399390",
"outputTransactionId": "3181d19b5b4591859d786407877f37e28cb1049492b6f80e7eb78682c92b28fe",
"outputIndex": 1,
"outputGlobalIndex": 34473399,
"outputCreatedAt": 1139970,
"outputSettledAt": 1139973,
"ergoTree": "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",
"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": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a01208ec26fb45dc1bef88e05a9ddb37399c97dedf9395a1415e4aa54618ffbcf853d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[8ec26fb45dc1bef88e05a9ddb37399c97dedf9395a1415e4aa54618ffbcf853d]"
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"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[906c3a126c9217a2c58c19d8ee5525ee6bff96cacacb180e71f9a8019f9061de]"
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"sigmaType": "Coll[SByte]",
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"sigmaType": "Coll[SByte]",
"renderedValue": "a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849"
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"index": 4,
"spendingProof": null,
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"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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{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c]"
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"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[906c3a126c9217a2c58c19d8ee5525ee6bff96cacacb180e71f9a8019f9061de]"
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"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "02ae22422533c74a0f30cf3640a87eafc08d3cc9f236335a9b073e9139f1d082"
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"R7": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849"
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{
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"value": 1100000,
"index": 5,
"spendingProof": null,
"outputBlockId": "e1d12d585f4ed3df997face91c5e0e955296154ef03952aa0cb95cdc04662518",
"outputTransactionId": "740de53cfe23e27a05504319d767d6bdb38980ccbe81e918dde259c2b37726ab",
"outputIndex": 1,
"outputGlobalIndex": 34473961,
"outputCreatedAt": 1139983,
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"ergoTree": "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",
"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": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"renderedValue": "[906c3a126c9217a2c58c19d8ee5525ee6bff96cacacb180e71f9a8019f9061de]"
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"sigmaType": "Coll[SByte]",
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{
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"value": 1100000,
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"spendingProof": null,
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"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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{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
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"sigmaType": "Coll[Coll[SByte]]",
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"R5": {
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"sigmaType": "Coll[SByte]",
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"R7": {
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"sigmaType": "Coll[SByte]",
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"value": 1100000,
"index": 7,
"spendingProof": null,
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"outputTransactionId": "8e800ca8bfd1552fd756a3183ad156a00c0de4889d4838c2e0f9b9cd595bd682",
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"ergoTree": "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",
"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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{
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"index": 0,
"amount": 10000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
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"index": 8,
"spendingProof": null,
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"ergoTree": "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",
"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}",
"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": "1a0120620af66be09e0cb5948e2666154979935e10b15f2faff1c9a89a1f7a35dedb5d",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[620af66be09e0cb5948e2666154979935e10b15f2faff1c9a89a1f7a35dedb5d]"
},
"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[906c3a126c9217a2c58c19d8ee5525ee6bff96cacacb180e71f9a8019f9061de]"
},
"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "d630eb61cb8746e9edb2367146959f9c84e91e6ed0ca8b2dc17de7f03907f575"
},
"R7": {
"serializedValue": "0e20a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849",
"sigmaType": "Coll[SByte]",
"renderedValue": "a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849"
}
}
},
{
"boxId": "7c4ca2909d240a8afb5f85240aa4abda7984d6627f8598b90792899f7074cf2b",
"value": 1100000,
"index": 9,
"spendingProof": "19b63ff56b56cbd0c120a1f4e9ca77a2926fa7adbb7575bd80e14f5783462060373775dacde1485ccdb32874711003ffda2a6f704a2dfbcb",
"outputBlockId": "5a131a2c0ba4f0f0144f663153e9390a4c8ec86d1017bdcea54778e244399390",
"outputTransactionId": "3181d19b5b4591859d786407877f37e28cb1049492b6f80e7eb78682c92b28fe",
"outputIndex": 3,
"outputGlobalIndex": 34473401,
"outputCreatedAt": 1139970,
"outputSettledAt": 1139973,
"ergoTree": "0008cd03019c95e931b44d66e6d870d120988214c85cd329a7c20a33d56c1ca4aae5f1e6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(19c95e,47ae87,...)))}",
"address": "9gUWrnaB7dG9CvLhv9A7CYSySmWkrjzWzjBeejzF6cPHF5hVU4W",
"assets": [
{
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"index": 0,
"amount": 86792,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
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},
{
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"outputIndex": 1,
"outputGlobalIndex": 34473821,
"outputCreatedAt": 1139984,
"outputSettledAt": 1139986,
"ergoTree": "0008cd03019c95e931b44d66e6d870d120988214c85cd329a7c20a33d56c1ca4aae5f1e6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(19c95e,47ae87,...)))}",
"address": "9gUWrnaB7dG9CvLhv9A7CYSySmWkrjzWzjBeejzF6cPHF5hVU4W",
"assets": [
{
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"index": 0,
"amount": 800,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
},
{
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},
{
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"index": 2,
"amount": 18090070080,
"name": "rptconfRSNV1",
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"type": "EIP-004"
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{
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"index": 3,
"amount": 69,
"name": "$Lambo",
"decimals": 0,
"type": "EIP-004"
}
],
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}
],
"dataInputs": [
{
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"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[63617264616e6f,08301e5c818abc014ecf2b674fea5f8121a13c11e19dfd6d5e4114fd6e33dc22,8ec26fb45dc1bef88e05a9ddb37399c97dedf9395a1415e4aa54618ffbcf853d,87c369e9cba6a1875f41e9cf58e0ddd67907d31ccb4592714c41a2e9a0616fcb,9619de151da8f361043383a8ed1b4793d275d5de01c4c20a82e7f30305ffde70,818f8212780151192d7398599368acac539525e32e5f73cf47644090d98a8bb9,6a8162f121d36bfe4204870885979014ce0d1a644f965398b1a53333b934dd52,6cd3e0aee75b946a179db3148c2ab43446b3abd6b10ec82b6c17c7fcdd4bd3a7,b93488e537f0597ff58be00fff65f290459fbf7917840c589746d96f5f1c1f6d,620af66be09e0cb5948e2666154979935e10b15f2faff1c9a89a1f7a35dedb5d,e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c]"
},
"R5": {
"serializedValue": "110b0080897a80897a80897a80897a80897a80897a80897a80897a80897a80897a",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,1000000,1000000,1000000,1000000,1000000,1000000,1000000,1000000,1000000,1000000]"
},
"R6": {
"serializedValue": "1106a09c018c0102288084af5f80d0acf30e",
"sigmaType": "Coll[SLong]",
"renderedValue": "[10000,70,1,20,100000000,2000000000]"
}
}
}
],
"outputs": [
{
"boxId": "fd3c67d7274a67af7eac0ab98c4712295fea46689cd7df5b60ad3f01ea17532e",
"transactionId": "7e22c64c4afeda39d84796a2a363247233612a0a154ff20e9fb0d1271b84dc8d",
"blockId": "3d187b768c859fb1b7f24278b1ce3e1809d4190863587b77e1c3cc95a039d9f1",
"value": 9900000,
"index": 0,
"globalIndex": 34474223,
"creationHeight": 1139990,
"settlementHeight": 1139992,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: Coll(119,37,56,-14,72,-36,-110,31,16,-83,-118,110,-49,88,-119,-34,-71,-125,29,24,97,6,14,-110,102,59,-27,-67,-53,-95,124,-19)\n7: 1\n8: 0\n9: Coll(12,-95,-45,30,-109,-76,47,-98,68,-27,41,14,52,17,-86,-94,-70,103,-86,-63,88,-27,121,22,-26,69,97,45,17,7,41,-11)\n10: 7200\n11: Coll(-59,-96,41,-11,-109,-95,6,-31,89,77,-38,30,84,53,-82,68,-77,71,-6,77,-33,-113,-96,60,-51,5,122,-4,40,-73,-35,56)",
"ergoTreeScript": "{\n val coll1 = SELF.R4[Coll[Coll[Byte]]].get\n val i2 = coll1.size\n val coll3 = OUTPUTS.slice(placeholder[Int](0), i2)\n val coll4 = OUTPUTS(placeholder[Int](1)).propositionBytes\n val coll5 = blake2b256(coll4)\n sigmaProp(allOf(Coll[Boolean](i2 == coll3.size, coll1.zip(coll3).forall({(tuple6: (Coll[Byte], Box)) =>\n val box8 = tuple6._2\n (((Coll[Coll[Byte]](tuple6._1) == box8.R4[Coll[Coll[Byte]]].get) && (box8.propositionBytes == coll4)) && (box8.tokens(placeholder[Int](2))._1 == SELF.tokens(placeholder[Int](3))._1)) && (box8.tokens(placeholder[Int](4))._2 == SELF.tokens(placeholder[Int](5))._2 / i2.toLong)\n }), if (coll5 == placeholder[Coll[Byte]](6)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](7)).tokens(placeholder[Int](8))._1 == placeholder[Coll[Byte]](9), HEIGHT - placeholder[Int](10) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](11) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
"address": "BRNzuPCshtnBeoxCJ8iQiVb78U7vRX6K6qwuSDauDzTF5ARRi7EqxFxHJwyEspfFcA8fdNUV7gzv9T7v6Dt8KBHZxXrb3rLvX7s45oYovhe8GRs98ZBk2UNNRrRcssVErfbEhQypJpUARoniQo3uUBksqczE4v1ks5ycVwgAj2HoHQEDfbTAsJA7iLZ72GAUZHGjLrdHtgNm9ZHoN6u7f3d7qwFMpRQYxEPNfZFXwXjmH6LnP4RatYCLRaRnq8THR8mQRvmrcm7nXiUKFhAypqHRc4Pp8vod2FAZuEo7v2C9paky93rqhEBSKmDF6NBbkdVUqc3gXypYQA4Y3oKvEiMRtXXRPf7RtNiqWrWZTNYztRaNAwnz46mBkTfvYDnQPirpcj2Q5nVRSM2BJ1NxFu4eviCUTsh4aBGM4ArMQ1v6WcD9BERV6x3UC3g7LAhtbb",
"assets": [
{
"tokenId": "01553e0f9122ce7a8dc696fa227d6b09a63dc7eb20a351bfa4f1108c14238895",
"index": 0,
"amount": 90000,
"name": "cRWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6a8162f121d36bfe4204870885979014ce0d1a644f965398b1a53333b934dd52,08301e5c818abc014ecf2b674fea5f8121a13c11e19dfd6d5e4114fd6e33dc22,818f8212780151192d7398599368acac539525e32e5f73cf47644090d98a8bb9,8ec26fb45dc1bef88e05a9ddb37399c97dedf9395a1415e4aa54618ffbcf853d,e0af70c5eaa93c74ee17ea9263d464bbc31af44d94e068dd253810d50161c48c,6cd3e0aee75b946a179db3148c2ab43446b3abd6b10ec82b6c17c7fcdd4bd3a7,b93488e537f0597ff58be00fff65f290459fbf7917840c589746d96f5f1c1f6d,87c369e9cba6a1875f41e9cf58e0ddd67907d31ccb4592714c41a2e9a0616fcb,620af66be09e0cb5948e2666154979935e10b15f2faff1c9a89a1f7a35dedb5d]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[31323165353363626539326431366662353932376634333035303262636430626534663434393832623638373235653030333066303235306563303130646531,63617264616e6f,6572676f,61646472317138686d70357a6a7a7676377337706d67656d7a336d76726b64326e7537363039687767737161306175663668376833723678366a6e327a727438,396944356a4d6f4c6a4b39617a546469677954387a3151593671487241366756724a616d4d46384d4a3271743435704a704463,0000000000cbedf2,000000000067c475,00000000000084d3,616461,30626634376331396534393934346133383934386336333563306165663933643839373337616136386466356164383831623037633866396136336533393864,64383437323538343032623263343033656466633865656533383430623638363236323166386438643636306238336161366564376265653133646637623663,0000000000922a47]"
},
"R6": {
"serializedValue": "0e20a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849",
"sigmaType": "Coll[SByte]",
"renderedValue": "a9a728b0a25d7089a11ca087a855d1ca189d4cf755ae0ec7c900395ea089b849"
}
},
"spentTransactionId": "930f9cbd7cef99ec7b28ea5388fcb052e45e775fd6da3d2c39599b5ca5994c88",
"mainChain": true
},
{
"boxId": "ee0a4d1db5f6661a8741c94a496006948df442f9f79386d2804167a84935f308",
"transactionId": "7e22c64c4afeda39d84796a2a363247233612a0a154ff20e9fb0d1271b84dc8d",
"blockId": "3d187b768c859fb1b7f24278b1ce3e1809d4190863587b77e1c3cc95a039d9f1",
"value": 897800000,
"index": 1,
"globalIndex": 34474224,
"creationHeight": 1139990,
"settlementHeight": 1139992,
"ergoTree": "0008cd03019c95e931b44d66e6d870d120988214c85cd329a7c20a33d56c1ca4aae5f1e6",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(19c95e,47ae87,...)))}",
"address": "9gUWrnaB7dG9CvLhv9A7CYSySmWkrjzWzjBeejzF6cPHF5hVU4W",
"assets": [
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 0,
"amount": 87592,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
},
{
"tokenId": "1db8e5a389490f1bcb8e17dfd414d6251d1f3707d38a1361d7a2045764d281fe",
"index": 1,
"amount": 1,
"name": null,
"decimals": null,
"type": null
},
{
"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"
}
],
"additionalRegisters": {},
"spentTransactionId": "db028783ab942b45b845b1235b48b53610879b11f67aa3389081bf93c77365a1",
"mainChain": true
},
{
"boxId": "f7d7c81eabc78faec91c2f026915bbe6a56014ad042df7c8c3c81ecf32994434",
"transactionId": "7e22c64c4afeda39d84796a2a363247233612a0a154ff20e9fb0d1271b84dc8d",
"blockId": "3d187b768c859fb1b7f24278b1ce3e1809d4190863587b77e1c3cc95a039d9f1",
"value": 1100000,
"index": 2,
"globalIndex": 34474225,
"creationHeight": 1139990,
"settlementHeight": 1139992,
"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": "abdf94ae8c1167bbd36fc9e505a7cfa0c05296ffcf2a7bc478c266a1fe9d8989",
"mainChain": true
}
],
"size": 1893,
"isUnconfirmed": false
}