Transaction
ID: 6560576f3d...04e6
Inputs (11)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
0.0011 ERG
Tokens:
Loading assets...
Spent
Address:
Output transaction:
Settlement height:
Value:
2.44 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0099 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.44 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.0011 ERG
Transaction Details
Confirmations: 845,018
Total coins transferred: 2.46 ERG
Fees: 0.0011 ERG
Fees per byte: 0.00000061 ERG
Raw Transaction Data
{
"id": "6560576f3d049416b3fd5d58b6d3e9fb98a01b94f5ab683726f5f7f0654d04e6",
"blockId": "a94440eb90cd1b58655b063b997ac4c03ad0a85a3282e19f4e38ca5faaff5ffc",
"inclusionHeight": 924388,
"timestamp": 1674466148201,
"index": 11,
"globalIndex": 4657404,
"numConfirmations": 845018,
"inputs": [
{
"boxId": "5c0536998a9a0f178c399af73015a5643b35de291a7e76e1e1bdefdfa27dc4af",
"value": 1100000,
"index": 0,
"spendingProof": null,
"outputBlockId": "a67f5f6ea3f10d3f6094c582b12bc0dea97144502b07d82954ebe7ea75953c79",
"outputTransactionId": "629e86987e155c041a93dcaed396bf824f6cc27a85d579a77bb22c6c1bcdb30e",
"outputIndex": 1,
"outputGlobalIndex": 25829674,
"outputCreatedAt": 923051,
"outputSettledAt": 923064,
"ergoTree": "101c04000e204791c75d9e73dd1546e0c391d190350176ba91acdaff9387cf00dc86d6fc33ab04000200020004020400010004000400040004000400040604040402050205c8010500040204000400020004000400040204000400d80bd601b2a4730000d6027301d60393cbc272017202d604e4c6a7041ad6059572037201b2a5730200d606e4c67205041ad607c67205051ad608e67207d609957208b0e472078301027303d901093c0e0eb38c7209018c7209028301027304d60ab472097305b17209d60bb2a5730600957203d801d60cb2b5a5d9010c63d801d60ec6720c041a95e6720e93e4720e72047307730800d19683040193cbc2720ce4c6a7070e938cb2db6308720c730900018cb2db6308a7730a0001efae7206d9010d0e93720483010e720d93cbb3720ab27204730b00e4c6a7060ed801d60ccbc2720b9593720c7202d806d60db5a4d9010d6393c2a7c2720dd60eb1720dd60fb2db6501fe730c00d610e4c6720f0611d611b27210730d00d6129ab27210730e009d9cb27210730f00997eb1e4c6720f041a0573107311d19683080192c1720bb0ad720dd9011363c172137312d90113599a8c7213018c72130293b1b5720dd901136393e4c67213041a72047313ae7206d901130e9383010e7213720493e4c67205060ee4c6a7070e93b17206720e93cbb3720ab27204731400e4c6a7060e93e4c6a7051a83010e957208cbb2e472077315008301027316917e720e05958f7211721272117212d19683050193c5a7c57201938cb2db6308720b731700018cb2db6308a77318000193e4c6720b041a7204938cb2db6308b2a4731900731a0001b27204731b0093720ce4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(71,-111,-57,93,-98,115,-35,21,70,-32,-61,-111,-47,-112,53,1,118,-70,-111,-84,-38,-1,-109,-121,-49,0,-36,-122,-42,-4,51,-85)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 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 opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
"address": "58grLgCGkP9NrKTsnxjMJm3tSPLpQUuzv2kFStDYjct8JR36F31b2nVzB64TkMwzxhooA85NSR9Y5dTS6jBRuMLbxgSCToFnJTZz7gTvhNp4JeUo5p8A7mE6Dhd9yckPwrMuQhp18kcVsnNce25xJoZSEKqAboGM7ChpLL4oAjQEWha9mTMpTrotKFsWHQTLpVCJhsDYHNAH7aTxDHeHLaZ4WK45dJAxNfVGCAD7ksyu5Rvz1ot8D3EvrgUuKnBvATcz8QrusRtYN156e6GUy6jP4h1UrDsnWnzthYykh61unkJFREKdsac2jWSm9SyjDrq1PeenZXiu5ijUu28qdKqmm1tmgwc2agsumLTr1bbRxoTVukavSKTL6UH8XYwc5kWo3gB565cBaZT2axE3rpp8UBx6wTzbTadfa2LULvGKEVndzKsZSe2wNgTxk6aAMd4JfAavwhx1PHNvForiJnvaHm8NHJGJWtR41tFyB5fP2tGjrs18gKey4ZgUQFDssdzEmK91k5CD4hom9k7UuJBcGZXwbwNf9p6pv3RpMRdcqti2mSYmZufdf5b8XJr41x9sx7ZddGsw7eN7PSyB1ihy2ttnSdsdc7dxrwr6DLjsWnhCxfNjHqWrv1g5MJ1Rsg4JfeUrQW7DJqrgZ5PJw4iUB3F2g577Qn5FGennFg5QjeAQgpTWZU9cbTA9qebWtJDpeifUmhTkjkYbeEgeSZT8bWfZeUyqZCym1vX8QaXhq9cftnTAagQVDa8UzgutLa96NTNoqHELwBUaefctCCV9JFHXnFFBEf6hkB5zXpwY44AHgYEuNkTPgtooNauMAjmgXgoAQEPi2AUy7",
"assets": [
{
"tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120730488119f223822c77c9c89fa73e1794116dd1503fcabf3fc9217ffe7b7b508",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[730488119f223822c77c9c89fa73e1794116dd1503fcabf3fc9217ffe7b7b508]"
},
"R5": {
"serializedValue": "1a0120c739c67db718fce3e09d10abb0d4b70a1aec970466f2652aeae2dddb2c38d057",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c739c67db718fce3e09d10abb0d4b70a1aec970466f2652aeae2dddb2c38d057]"
},
"R6": {
"serializedValue": "0e203cd6f13b411d1c10477dac1b7f3fa3ab258a26258d7a3b5c821b910df3c60e9d",
"sigmaType": "Coll[SByte]",
"renderedValue": "3cd6f13b411d1c10477dac1b7f3fa3ab258a26258d7a3b5c821b910df3c60e9d"
},
"R7": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
}
}
},
{
"boxId": "bf61e091dd9ea0bc4e5995586425fbd1577fc8a4b1f1647fb0c8869884743f06",
"value": 1100000,
"index": 1,
"spendingProof": null,
"outputBlockId": "57c4a839472ed5bf76bdda76096e5e573193f3606a001db0fa66ab442e2984e2",
"outputTransactionId": "1576fcf3f39d5656cc649486130f8e4be903145fb2bf131919fda62617bd81a7",
"outputIndex": 1,
"outputGlobalIndex": 25830348,
"outputCreatedAt": 923075,
"outputSettledAt": 923077,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(71,-111,-57,93,-98,115,-35,21,70,-32,-61,-111,-47,-112,53,1,118,-70,-111,-84,-38,-1,-109,-121,-49,0,-36,-122,-42,-4,51,-85)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 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 opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120101f5f0995d90c80a9491815571ed1c9fc5522922fa3bbccbd575d1aa7255f90",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[101f5f0995d90c80a9491815571ed1c9fc5522922fa3bbccbd575d1aa7255f90]"
},
"R5": {
"serializedValue": "1a0120c739c67db718fce3e09d10abb0d4b70a1aec970466f2652aeae2dddb2c38d057",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c739c67db718fce3e09d10abb0d4b70a1aec970466f2652aeae2dddb2c38d057]"
},
"R6": {
"serializedValue": "0e20b3844460e07dbc3626f476afbd9a31a725aa77810ca32c9ee93608f34d6373cb",
"sigmaType": "Coll[SByte]",
"renderedValue": "b3844460e07dbc3626f476afbd9a31a725aa77810ca32c9ee93608f34d6373cb"
},
"R7": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
}
}
},
{
"boxId": "c1cc7e9dbad5d476334b1d965431362b6e6aa805ad208216c6fb5c14b092c265",
"value": 1100000,
"index": 2,
"spendingProof": null,
"outputBlockId": "57c4a839472ed5bf76bdda76096e5e573193f3606a001db0fa66ab442e2984e2",
"outputTransactionId": "308ad5e5cf5fe576f7ee3414e7ab811183ac6749928900791ace2eb05533f162",
"outputIndex": 1,
"outputGlobalIndex": 25830352,
"outputCreatedAt": 923075,
"outputSettledAt": 923077,
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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 opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"serializedValue": "1a0120e39047fa7025f5eb94f0b1a9d6d4728b5a4270ea1155e4e5b0e265db46589d5c",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e39047fa7025f5eb94f0b1a9d6d4728b5a4270ea1155e4e5b0e265db46589d5c]"
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"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c739c67db718fce3e09d10abb0d4b70a1aec970466f2652aeae2dddb2c38d057]"
},
"R6": {
"serializedValue": "0e20feeb09b18d188be8d077ba617c504ef2a7e684a55ab18f70fff23566a1d56d73",
"sigmaType": "Coll[SByte]",
"renderedValue": "feeb09b18d188be8d077ba617c504ef2a7e684a55ab18f70fff23566a1d56d73"
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"R7": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
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},
{
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"value": 1100000,
"index": 3,
"spendingProof": null,
"outputBlockId": "57c4a839472ed5bf76bdda76096e5e573193f3606a001db0fa66ab442e2984e2",
"outputTransactionId": "54a761f42b6a9a9feeb712bedba38d593bcdf8121cbed72ffdbb46aefe753fd9",
"outputIndex": 1,
"outputGlobalIndex": 25830356,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(71,-111,-57,93,-98,115,-35,21,70,-32,-61,-111,-47,-112,53,1,118,-70,-111,-84,-38,-1,-109,-121,-49,0,-36,-122,-42,-4,51,-85)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 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 opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
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],
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"sigmaType": "Coll[SByte]",
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"R7": {
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"sigmaType": "Coll[SByte]",
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"index": 4,
"spendingProof": null,
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"ergoTreeConstants": "0: 0\n1: Coll(71,-111,-57,93,-98,115,-35,21,70,-32,-61,-111,-47,-112,53,1,118,-70,-111,-84,-38,-1,-109,-121,-49,0,-36,-122,-42,-4,51,-85)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 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 opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"assets": [
{
"tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120c1f5aa4b1a713396a63f556df49c70add93b3471cbca893c6146fce5a4b95e76",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c1f5aa4b1a713396a63f556df49c70add93b3471cbca893c6146fce5a4b95e76]"
},
"R5": {
"serializedValue": "1a0120c739c67db718fce3e09d10abb0d4b70a1aec970466f2652aeae2dddb2c38d057",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c739c67db718fce3e09d10abb0d4b70a1aec970466f2652aeae2dddb2c38d057]"
},
"R6": {
"serializedValue": "0e20459db340c981af3f97a7fc416067fff6660287b0220e2a35ce1afc5434857291",
"sigmaType": "Coll[SByte]",
"renderedValue": "459db340c981af3f97a7fc416067fff6660287b0220e2a35ce1afc5434857291"
},
"R7": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
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{
"boxId": "a5caa5d3fe95ffd04a508e6a6569352a1fb8d3a5b8ee689b7730704351cebed0",
"value": 1100000,
"index": 5,
"spendingProof": null,
"outputBlockId": "57c4a839472ed5bf76bdda76096e5e573193f3606a001db0fa66ab442e2984e2",
"outputTransactionId": "5f13155efb1d322696fa1dfc1a8d3e59f6fc8e55b9da885eb8df1c932105f855",
"outputIndex": 1,
"outputGlobalIndex": 25830364,
"outputCreatedAt": 923075,
"outputSettledAt": 923077,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(71,-111,-57,93,-98,115,-35,21,70,-32,-61,-111,-47,-112,53,1,118,-70,-111,-84,-38,-1,-109,-121,-49,0,-36,-122,-42,-4,51,-85)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 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 opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[e09921d0a87bb63e94aa6074c090a903a280ebd8cfba862396e56668f7138fe1]"
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"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c739c67db718fce3e09d10abb0d4b70a1aec970466f2652aeae2dddb2c38d057]"
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"R6": {
"serializedValue": "0e20bbe62e5fc5df3687c18248263fa36c4a00275e491a00619b26f6025ea0d8a627",
"sigmaType": "Coll[SByte]",
"renderedValue": "bbe62e5fc5df3687c18248263fa36c4a00275e491a00619b26f6025ea0d8a627"
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"R7": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
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{
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"value": 1100000,
"index": 6,
"spendingProof": null,
"outputBlockId": "57c4a839472ed5bf76bdda76096e5e573193f3606a001db0fa66ab442e2984e2",
"outputTransactionId": "8d437d1a9aee36ca3056682d3c9566444e5a44ea213556aee039ca3512940081",
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"outputGlobalIndex": 25830368,
"outputCreatedAt": 923075,
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"ergoTreeConstants": "0: 0\n1: Coll(71,-111,-57,93,-98,115,-35,21,70,-32,-61,-111,-47,-112,53,1,118,-70,-111,-84,-38,-1,-109,-121,-49,0,-36,-122,-42,-4,51,-85)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 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 opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707]"
},
"R5": {
"serializedValue": "1a0120c739c67db718fce3e09d10abb0d4b70a1aec970466f2652aeae2dddb2c38d057",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c739c67db718fce3e09d10abb0d4b70a1aec970466f2652aeae2dddb2c38d057]"
},
"R6": {
"serializedValue": "0e208b6903ec7814332c70d688cbe204526c650ce6def4ada3c4a115703a2ae65b11",
"sigmaType": "Coll[SByte]",
"renderedValue": "8b6903ec7814332c70d688cbe204526c650ce6def4ada3c4a115703a2ae65b11"
},
"R7": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
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},
{
"boxId": "990b233c86f429663b4d048d57c804a513818a78c8d994e8b37e5de28e5dccd1",
"value": 1100000,
"index": 7,
"spendingProof": null,
"outputBlockId": "57c4a839472ed5bf76bdda76096e5e573193f3606a001db0fa66ab442e2984e2",
"outputTransactionId": "e1867e88e8b49cba8a1d2e70d24852cc27e92e1df377c71e6ceef27b7fe18d1d",
"outputIndex": 1,
"outputGlobalIndex": 25830372,
"outputCreatedAt": 923075,
"outputSettledAt": 923077,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(71,-111,-57,93,-98,115,-35,21,70,-32,-61,-111,-47,-112,53,1,118,-70,-111,-84,-38,-1,-109,-121,-49,0,-36,-122,-42,-4,51,-85)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 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 opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
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"serializedValue": "1a0120846f72637b75f4817eb3f6e8542cb2d92875cf1ddce0fd5b734fc7c9bb48ac60",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[846f72637b75f4817eb3f6e8542cb2d92875cf1ddce0fd5b734fc7c9bb48ac60]"
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"R5": {
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"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c739c67db718fce3e09d10abb0d4b70a1aec970466f2652aeae2dddb2c38d057]"
},
"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "a614ea914d3f48d987de11005b9fb460a4881210423d74e3b9d42a15a4faaac5"
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"R7": {
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"sigmaType": "Coll[SByte]",
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{
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"value": 1100000,
"index": 8,
"spendingProof": null,
"outputBlockId": "57c4a839472ed5bf76bdda76096e5e573193f3606a001db0fa66ab442e2984e2",
"outputTransactionId": "fdb1552ca568d8aae0db10b32f96bee1e2cdff2063490bfaf896e1e970a84eda",
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"outputGlobalIndex": 25830376,
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"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(71,-111,-57,93,-98,115,-35,21,70,-32,-61,-111,-47,-112,53,1,118,-70,-111,-84,-38,-1,-109,-121,-49,0,-36,-122,-42,-4,51,-85)\n2: 0\n3: 0\n4: 0\n5: 1\n6: 0\n7: false\n8: 0\n9: 0\n10: 0\n11: 0\n12: 0\n13: 3\n14: 2\n15: 1\n16: 1\n17: 100\n18: 0\n19: 1\n20: 0\n21: 0\n22: 0\n23: 0\n24: 0\n25: 1\n26: 0\n27: 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 opt7 = box5.R5[Coll[Coll[Byte]]]\n val bool8 = opt7.isDefined\n val coll9 = if (bool8) { opt7.get.fold(Coll[Byte](placeholder[Byte](3)), {(tuple9: (Coll[Byte], Coll[Byte])) => tuple9._1.append(tuple9._2) }) } else {\n Coll[Byte](placeholder[Byte](4))\n }\n val coll10 = coll9.slice(placeholder[Int](5), coll9.size)\n val box11 = OUTPUTS(placeholder[Int](6))\n if (bool3) {(\n val box12 = OUTPUTS.filter({(box12: Box) =>\n val opt14 = box12.R4[Coll[Coll[Byte]]]\n if (opt14.isDefined) { opt14.get == coll4 } else { placeholder[Boolean](7) }\n })(placeholder[Int](8))\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box12.propositionBytes) == SELF.R7[Coll[Byte]].get, box12.tokens(placeholder[Int](9))._1 == SELF.tokens(\n placeholder[Int](10)\n )._1, !coll6.exists({(coll13: Coll[Byte]) => coll4 == Coll[Coll[Byte]](coll13) }), blake2b256(coll10.append(coll4(placeholder[Int](11)))) == SELF.R6[\n Coll[Byte]\n ].get\n )\n )\n )\n )} else {(\n val coll12 = blake2b256(box11.propositionBytes)\n if (coll12 == coll2) {(\n val coll13 = INPUTS.filter({(box13: Box) => SELF.propositionBytes == box13.propositionBytes })\n val i14 = coll13.size\n val box15 = CONTEXT.dataInputs(placeholder[Int](12))\n val coll16 = box15.R6[Coll[Long]].get\n val l17 = coll16(placeholder[Int](13))\n val l18 = coll16(placeholder[Int](14)) + coll16(placeholder[Int](15)) * box15.R4[Coll[Coll[Byte]]].get.size.toLong - placeholder[Long](16) / placeholder[\n Long\n ](17)\n sigmaProp(\n allOf(\n Coll[Boolean](\n box11.value >= coll13.map({(box19: Box) => box19.value }).fold(\n placeholder[Long](18), {(tuple19: (Long, Long)) => tuple19._1 + tuple19._2 }\n ), coll13.filter({(box19: Box) => box19.R4[Coll[Coll[Byte]]].get == coll4 }).size == placeholder[Int](19), coll6.exists(\n {(coll19: Coll[Byte]) => Coll[Coll[Byte]](coll19) == coll4 }\n ), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, coll6.size == i14, blake2b256(coll10.append(coll4(placeholder[Int](20)))) == SELF.R6[\n Coll[Byte]\n ].get, SELF.R5[Coll[Coll[Byte]]].get == Coll[Coll[Byte]](\n if (bool8) { blake2b256(opt7.get(placeholder[Int](21))) } else { Coll[Byte](placeholder[Byte](22)) }\n ), i14.toLong > if (l17 < l18) { l17 } else { l18 }\n )\n )\n )\n )} else {\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, box11.tokens(placeholder[Int](23))._1 == SELF.tokens(placeholder[Int](24))._1, box11.R4[Coll[Coll[Byte]]].get == coll4, INPUTS(\n placeholder[Int](25)\n ).tokens(placeholder[Int](26))._1 == coll4(placeholder[Int](27)), coll12 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n }\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 1,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "1a0120ed6b8b63d187198f3ba55468231b5c83c050f7273364211fcf3b1ca7526ff302",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[ed6b8b63d187198f3ba55468231b5c83c050f7273364211fcf3b1ca7526ff302]"
},
"R5": {
"serializedValue": "1a0120c739c67db718fce3e09d10abb0d4b70a1aec970466f2652aeae2dddb2c38d057",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[c739c67db718fce3e09d10abb0d4b70a1aec970466f2652aeae2dddb2c38d057]"
},
"R6": {
"serializedValue": "0e20657805e82641db91e8b56ec571728411b0a7127244e7a4d9a10278c72b59a9b8",
"sigmaType": "Coll[SByte]",
"renderedValue": "657805e82641db91e8b56ec571728411b0a7127244e7a4d9a10278c72b59a9b8"
},
"R7": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
}
}
},
{
"boxId": "62b6c470ef99e05060a34f11e2b02399bcbbed75738b237815c4652bac0f006d",
"value": 1100000,
"index": 9,
"spendingProof": "62e9fa08455107bc22b1448a5bd5babf30a99b2eeead41e32934136e3c96bec7bf1dfbec2f4b2f12d053bf1debe422304a835df67d427d2c",
"outputBlockId": "f2d6b9a781c224f428e5967d91728433329712a353bd16a0be12dbbe3043d2fe",
"outputTransactionId": "0895cb58f77d85fa77b4d71c07f8429e0c811cdab0ffe7355e869756b18f555d",
"outputIndex": 3,
"outputGlobalIndex": 25857726,
"outputCreatedAt": 923756,
"outputSettledAt": 923758,
"ergoTree": "0008cd02e1ad6c47bb63af2a50dabc83eeeda09292e5d981653b76dc2eb9b76103e3ea98",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e1ad6c,6b995b,...)))}",
"address": "9gET9CX8x76wmnzacXJ3PveEt6vRtBFDSDv3S49unoUZmWkNtNA",
"assets": [
{
"tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
"index": 0,
"amount": 1320,
"name": "RSN-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {}
},
{
"boxId": "b2f2ea03336ea9164793293cd3c471c3f3cec21b454bfa4a99596f04746da06e",
"value": 2444100000,
"index": 10,
"spendingProof": "09bc798fb21698e4fcea9bb73ebd92ced65dac12719a91098e24560fe76e00bc43f0f55bc12d0bc8d0f8945992990bdc9d4d8e17f1f7c65c",
"outputBlockId": "f2d6b9a781c224f428e5967d91728433329712a353bd16a0be12dbbe3043d2fe",
"outputTransactionId": "0895cb58f77d85fa77b4d71c07f8429e0c811cdab0ffe7355e869756b18f555d",
"outputIndex": 2,
"outputGlobalIndex": 25857725,
"outputCreatedAt": 923756,
"outputSettledAt": 923758,
"ergoTree": "0008cd02e1ad6c47bb63af2a50dabc83eeeda09292e5d981653b76dc2eb9b76103e3ea98",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e1ad6c,6b995b,...)))}",
"address": "9gET9CX8x76wmnzacXJ3PveEt6vRtBFDSDv3S49unoUZmWkNtNA",
"assets": [
{
"tokenId": "e39047fa7025f5eb94f0b1a9d6d4728b5a4270ea1155e4e5b0e265db46589d5c",
"index": 0,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "0b2ab31f04d37181dbdee7e378e642b87396adcbf8b1714c678cc2ab8a43028a",
"value": 1100000,
"index": 0,
"outputBlockId": "eaa936123902a431cf64ad57c4a3955ff48cad82765d75e99af7d15068a0b8ca",
"outputTransactionId": "c77a3393a6c90e915fc4ec154ed6ec3a372a3c8c501f197c0d907bd37f0c3066",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[6572676f,c1f5aa4b1a713396a63f556df49c70add93b3471cbca893c6146fce5a4b95e76,d4e03eda58a338f8f65b40de258407dbdbbd9b8ccca374f66be8d97e52c8a752,ed6b8b63d187198f3ba55468231b5c83c050f7273364211fcf3b1ca7526ff302,846f72637b75f4817eb3f6e8542cb2d92875cf1ddce0fd5b734fc7c9bb48ac60,101f5f0995d90c80a9491815571ed1c9fc5522922fa3bbccbd575d1aa7255f90,e09921d0a87bb63e94aa6074c090a903a280ebd8cfba862396e56668f7138fe1,730488119f223822c77c9c89fa73e1794116dd1503fcabf3fc9217ffe7b7b508,da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707,d206d6f37bc63fae26fbb591d5d4b60181db35fb712ae6dfa2c5faf0078d66eb,e39047fa7025f5eb94f0b1a9d6d4728b5a4270ea1155e4e5b0e265db46589d5c]"
},
"R5": {
"serializedValue": "110b00c801c801d00fd00fd00fd00fd00fd00fd00fc801",
"sigmaType": "Coll[SLong]",
"renderedValue": "[0,100,100,1000,1000,1000,1000,1000,1000,1000,100]"
},
"R6": {
"serializedValue": "1104d00f8c010228",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,70,1,20]"
},
"R7": {
"serializedValue": "0400",
"sigmaType": "SInt",
"renderedValue": "0"
}
}
}
],
"outputs": [
{
"boxId": "31d7679df29a91d067cc8343f22235de8f1483af853623a9baff4365821d1e83",
"transactionId": "6560576f3d049416b3fd5d58b6d3e9fb98a01b94f5ab683726f5f7f0654d04e6",
"blockId": "a94440eb90cd1b58655b063b997ac4c03ad0a85a3282e19f4e38ca5faaff5ffc",
"value": 9900000,
"index": 0,
"globalIndex": 25884240,
"creationHeight": 924384,
"settlementHeight": 924388,
"ergoTree": "1008040004000e20b7f09c1b0a974d6699a9593a286808ad12748fa8025ab9adcb24375e0395f815040204000e2037080ea7925c407965f27013fe66d2e7d692e68dc0de9219effe4819cea8c7b304c0700e206a1a0cf61ec4148916281e6d82a1d17a60eed7845200401d5231377f4643ba67d805d601e4c6a7041ad602b17201d603b4a573007202d604c2b2a5730100d605cb7204d196830301937202b17203afdc0c1d7201017203d901063c0e63d801d6088c720602ed9383010e8c720601e4c67208041a93c27208720495937205730296830201938cb2db6308b2a47303007304000173059299a373068cc7a70196830201aea4d901066393cbc272067307937205e4c6a7060e",
"ergoTreeConstants": "0: 0\n1: 0\n2: Coll(-73,-16,-100,27,10,-105,77,102,-103,-87,89,58,40,104,8,-83,18,116,-113,-88,2,90,-71,-83,-53,36,55,94,3,-107,-8,21)\n3: 1\n4: 0\n5: Coll(55,8,14,-89,-110,92,64,121,101,-14,112,19,-2,102,-46,-25,-42,-110,-26,-115,-64,-34,-110,25,-17,-2,72,25,-50,-88,-57,-77)\n6: 7200\n7: Coll(106,26,12,-10,30,-60,20,-119,22,40,30,109,-126,-95,-47,122,96,-18,-41,-124,82,0,64,29,82,49,55,127,70,67,-70,103)",
"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)\n }), if (coll5 == placeholder[Coll[Byte]](2)) { allOf(Coll[Boolean](INPUTS(placeholder[Int](3)).tokens(placeholder[Int](4))._1 == placeholder[Coll[Byte]](5), HEIGHT - placeholder[Int](6) >= SELF.creationInfo._1)) } else { allOf(Coll[Boolean](INPUTS.exists({(box6: Box) => blake2b256(box6.propositionBytes) == placeholder[Coll[Byte]](7) }), coll5 == SELF.R6[Coll[Byte]].get)) })))\n}",
"address": "21oSXpSmAC6qp2H72o1YW4D9Dxq3mSkee28gWAFqqd9NRTx15VHM6RwVxScoDnN4jiTegJvto6yK4rZDV788EKrJdoftYXVdQDaeakfgJJhLSfpJcadGZLLwJQkpoRJpesAgY8QfkuyLTkVNbNNshvsA4x3kfvPFDGDQfn8AdN6hJ1FnibRdcj3uY9NQTjjLWNGb1XNdUQyGv73qBJobfaRm9GyXzk9wUq54VhKdcxzTjzuJTtCCv2cxBXKup4EzEEXDNWLcfsD8bNknob5bmUDuTGszsPZHcwAwXgcqsxKvcki7KUs7d666iyu5fNgvFTx8B3D1ageWpAD5RcBbmfiGNEL9k7BnwWiP2pU5DwhJzWH3iU",
"assets": [
{
"tokenId": "383d70ab083cc23336a46370fe730b2c51db0e831586b6d545202cbc33938ee1",
"index": 0,
"amount": 9,
"name": "Ergo-RWT-V.beta",
"decimals": 0,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[730488119f223822c77c9c89fa73e1794116dd1503fcabf3fc9217ffe7b7b508,101f5f0995d90c80a9491815571ed1c9fc5522922fa3bbccbd575d1aa7255f90,e39047fa7025f5eb94f0b1a9d6d4728b5a4270ea1155e4e5b0e265db46589d5c,d206d6f37bc63fae26fbb591d5d4b60181db35fb712ae6dfa2c5faf0078d66eb,c1f5aa4b1a713396a63f556df49c70add93b3471cbca893c6146fce5a4b95e76,e09921d0a87bb63e94aa6074c090a903a280ebd8cfba862396e56668f7138fe1,da06f26f55cca0ad06880e0e8fe40d4011373e526f6aafe47caba8f5fa169707,846f72637b75f4817eb3f6e8542cb2d92875cf1ddce0fd5b734fc7c9bb48ac60,ed6b8b63d187198f3ba55468231b5c83c050f7273364211fcf3b1ca7526ff302]"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[39373635383533333062373964383233643030663362626264343837313733346432313430313732316564356231363739366430343834343433643737633838,6572676f,63617264616e6f,39685a785633594e536662437153364745736573374468415653617476616f4e746473694e766b696d504747326338667a6b47,616464723171797267727068647379376c746132726165327075386870356d7732666e7076753873653030727861367a7a6d63347368346779666b646870776671386c6e68356c39353636336430396e337339637275746e63397977616d637671733565356d36,00000000004c4b40,00000000001e8480,0000000000061a80,66633663323037306562303034666330386663646531353134646565353662316430353837343737373438643861663634373137396230393866353266353539,6c6f76656c616365,37343230303035323438626634383965313930633965333763396339616233633962653361393535613066633631623363643961333231326539333265376535,00000000000e1599]"
},
"R6": {
"serializedValue": "0e20ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c",
"sigmaType": "Coll[SByte]",
"renderedValue": "ed7f723921f2efd4ec2fbc6a1262376e346c130e6aff4daf63addfe996f2d71c"
}
},
"spentTransactionId": "e3d718eebc2e19b17c97c22b53191ac950eaffa779fc5c0cb1ad4ece898dfa17",
"mainChain": true
},
{
"boxId": "bb66a7cf0887f5062756eafcfeccaca882dfd9dc3a78307bcfae7f79a601760a",
"transactionId": "6560576f3d049416b3fd5d58b6d3e9fb98a01b94f5ab683726f5f7f0654d04e6",
"blockId": "a94440eb90cd1b58655b063b997ac4c03ad0a85a3282e19f4e38ca5faaff5ffc",
"value": 2444100000,
"index": 1,
"globalIndex": 25884241,
"creationHeight": 924384,
"settlementHeight": 924388,
"ergoTree": "0008cd02e1ad6c47bb63af2a50dabc83eeeda09292e5d981653b76dc2eb9b76103e3ea98",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(e1ad6c,6b995b,...)))}",
"address": "9gET9CX8x76wmnzacXJ3PveEt6vRtBFDSDv3S49unoUZmWkNtNA",
"assets": [
{
"tokenId": "10278c102bf890fdab8ef5111e94053c90b3541bc25b0de2ee8aa6305ccec3de",
"index": 0,
"amount": 1320,
"name": "RSN-V.beta",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "e39047fa7025f5eb94f0b1a9d6d4728b5a4270ea1155e4e5b0e265db46589d5c",
"index": 1,
"amount": 1,
"name": null,
"decimals": null,
"type": null
}
],
"additionalRegisters": {},
"spentTransactionId": "e1a7c22cd4c7b2bad25fc1124eca53677100b716a7847ad3358194612e30e9ba",
"mainChain": true
},
{
"boxId": "a525afc671b9d266ed5f33168c4fc855627514da7e1bfc106207a33c10b9b5c2",
"transactionId": "6560576f3d049416b3fd5d58b6d3e9fb98a01b94f5ab683726f5f7f0654d04e6",
"blockId": "a94440eb90cd1b58655b063b997ac4c03ad0a85a3282e19f4e38ca5faaff5ffc",
"value": 1100000,
"index": 2,
"globalIndex": 25884242,
"creationHeight": 924384,
"settlementHeight": 924388,
"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": "db42957f50b22d332b9b401d408d3b45000b74ef44161175ab7a4bbb22dbefe0",
"mainChain": true
}
],
"size": 1803,
"isUnconfirmed": false
}