Transaction
ID: 24b5ec4c4f...8dbc
Inputs (11)
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
0.002 ERG
Tokens:
Spent
Address:
Output transaction:
Settlement height:
Value:
2.9 ERG
Tokens:
Loading assets...
Outputs (3)
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.02 ERG
Tokens:
10
Spent
Address:
Spent in transaction:
Settlement height:
Value:
2.9 ERG
Tokens:
Loading assets...
Spent
Address:
Spent in transaction:
Settlement height:
Value:
0.002 ERG
Transaction Details
Confirmations: 408,189
Total coins transferred: 2.92 ERG
Fees: 0.002 ERG
Fees per byte: 0.000001198 ERG
Raw Transaction Data
{
"id": "24b5ec4c4fcc688f568858453e89e66bc4c86d092cf5c36a34ce86781ec88dbc",
"blockId": "fc0e59539bd1b464b2dc3a9004904308c802d7d6cbad51f84efedb74a57cdc66",
"inclusionHeight": 1359361,
"timestamp": 1727205017613,
"index": 14,
"globalIndex": 7829836,
"numConfirmations": 408189,
"inputs": [
{
"boxId": "f49ad0a644c207e41df4f084f2693478fd35c35bb19a67dab5e731121c657e47",
"value": 2000000,
"index": 0,
"spendingProof": null,
"outputBlockId": "7fad986bf4102a719bd933e99efb5ad7f0cef13ee5e5ad107bcaf304fdecebca",
"outputTransactionId": "1f1a659a5c509ac28ba83d835f781208b4feabc8367dbb16cb3c76f347d7e026",
"outputIndex": 1,
"outputGlobalIndex": 42889517,
"outputCreatedAt": 1359346,
"outputSettledAt": 1359349,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: 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)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "5ivrmzxYZzmR13d1WWB45BzRjcHjxnYfJ3yZxejSiEREDw5jwgUdmuXfH4RoopXmodDgW4o82TejgXYixn6Y2bUd18G75y8W7VqrsQ5BRqdxZtFgXQWFdnFRB9xxNc9tFxsdtHCLKKTsTq6eNnmFp16UrNdfYkd7sDfWWNwUwweLUMXHhjLZvDdQpKVWyPK8Pw4L1MBNcmzsNgc3TDtdeJPiP4YKVqjFdACMb6iXc9LYkKUReKgbAuedn87B1ppppMX6LFEDFkR8nP8c5dt687TqZFm3UvbXC4eWSzd6AKxL1uc4ejgarikDfn5VAvTTarkL3HFz7m7QVRKBkSrG7fDLwFKVDD8j6nVzqjD6biVzE4xqYtjbedKU5g39XCGhTxnRoSKAH9ZeWunQBdqwexcKZiXtFrYXDrs5Pt3akT2peVydhZwUe5Bnb7eqjQQjTC3xwVcVM8rReJATLz1ouRpXuwRgfY6S6g6TPASJTuaQJ57KbYY9yzQMJ8XmZ6LwepAtbUhGBS4Q9UUVyt13y5WqnkqryuK1X9c5HJS7b6PxCFBxgoKC2pz3yKfepFXhA2r6PPzePJLTJwR2QawRtQrW6GTvia5wu2yjpsYQCM5jqWMDuEhkHxRcShRZkaP7cFmsArVPmfrjKWPh6mgijH8vs9ajjsMCWKRdbKYjtMVvVG29RDW6tt1FuqWeQwZzKa7uPMcKNZJfxsVDzXtzNXRfn1A4HDCZcWwfqjuETcoj8pwHZpqPchWsHJbP2JssiMGrDVpNdG45bS2FsfJt8p1dE9XuW1qxmY2YioDksC7YP2KXfibDVMEg83zAbRJiKtfSRGpm94j4narU2r8fA1nKopfxBpaduQoUZEzVDhACtKzUVtBMoDEgTNAP2xxF1sFuAsdKY46hcoSKVe3h1BRa8j33DW5gSXwk3p4MaR1MrH2S218YivDkQrs8X1z7rYsLbTLL1jqYUHb3uAvy6tsb4AuZ7QLp3WPtERuHaLTNm54vvy9yEjLE6AKyUjzQ3ZN6iCz78kJgd3vgDErF2eESPf36fxHMb5GFUNaP8kzEPmrmmWc6JqMzkAVTx8hQ27656iH5FVS2g7dxZH3y2A9SkFygWJiptfp5wydKPyMBqUj2oK8zE6keR65j2wtnhncPEwy3KGCyc1CKv1Ko6hh6bMuxw9Esg6hGhGxhMwt7oCAPDaBp8PuWRbdJ2wgpRYUgmNDLJNiiCvUxnrePy9nbPgK11a5TH69QWXty6sZTH9i6osfR2beMkpXa7n123ZQYkNWrG7EjmNhcBNukR",
"assets": [
{
"tokenId": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2099e510508fd87854dd77a0245b7caca39ef6df69a3320b8b56b0b3d0031c2c7e",
"sigmaType": "Coll[SByte]",
"renderedValue": "99e510508fd87854dd77a0245b7caca39ef6df69a3320b8b56b0b3d0031c2c7e"
},
"R5": {
"serializedValue": "0e2079c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489",
"sigmaType": "Coll[SByte]",
"renderedValue": "79c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489"
},
"R6": {
"serializedValue": "0e206ce3bc90cb0b63af512bd9b01df37ad83b3c263061f6e32b1580bfb4f1485643",
"sigmaType": "Coll[SByte]",
"renderedValue": "6ce3bc90cb0b63af512bd9b01df37ad83b3c263061f6e32b1580bfb4f1485643"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "416b3576e8c33f600a0145b1ae09543d8c72cf9fb65ad96e86aaf5a4848826cf",
"value": 2000000,
"index": 1,
"spendingProof": null,
"outputBlockId": "7fad986bf4102a719bd933e99efb5ad7f0cef13ee5e5ad107bcaf304fdecebca",
"outputTransactionId": "36f1baca472de3ec1a8282dd65eeb6374cf19fa958b7c3b1e72a4718ddab77c4",
"outputIndex": 1,
"outputGlobalIndex": 42889521,
"outputCreatedAt": 1359346,
"outputSettledAt": 1359349,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: 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)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20cf71bd6c6fb35f4f92abdcb206d965fd203f623b39ca53d18f7064750c958e10",
"sigmaType": "Coll[SByte]",
"renderedValue": "cf71bd6c6fb35f4f92abdcb206d965fd203f623b39ca53d18f7064750c958e10"
},
"R5": {
"serializedValue": "0e2079c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489",
"sigmaType": "Coll[SByte]",
"renderedValue": "79c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489"
},
"R6": {
"serializedValue": "0e206dc2b30798017c2c2bfbdfcac5c2f2504bbc507474cdb882b3040dd25c994954",
"sigmaType": "Coll[SByte]",
"renderedValue": "6dc2b30798017c2c2bfbdfcac5c2f2504bbc507474cdb882b3040dd25c994954"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "b627847eee21d3cce1a6686c929b397b462fe9b7fdd4e3647b2cb8f86bac10e6",
"value": 2000000,
"index": 2,
"spendingProof": null,
"outputBlockId": "7fad986bf4102a719bd933e99efb5ad7f0cef13ee5e5ad107bcaf304fdecebca",
"outputTransactionId": "42f0ac392d263f898537db66cf8067cb6f768ce31f80a71593da42a866c11e3c",
"outputIndex": 1,
"outputGlobalIndex": 42889525,
"outputCreatedAt": 1359347,
"outputSettledAt": 1359349,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: 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)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20d5f9b2ebf851f1821eeac45624213b2f17106014a287e8f70d74fd00c708ab87",
"sigmaType": "Coll[SByte]",
"renderedValue": "d5f9b2ebf851f1821eeac45624213b2f17106014a287e8f70d74fd00c708ab87"
},
"R5": {
"serializedValue": "0e2079c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489",
"sigmaType": "Coll[SByte]",
"renderedValue": "79c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489"
},
"R6": {
"serializedValue": "0e20c984ed7161b7410c0f79e4cd80aa64db719e95db60d0255c15a9c1dbf8e22052",
"sigmaType": "Coll[SByte]",
"renderedValue": "c984ed7161b7410c0f79e4cd80aa64db719e95db60d0255c15a9c1dbf8e22052"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "7629dc945b97e6ea0a41069ba5c7f70614e9a6368a3934a4cc708c6372626901",
"value": 2000000,
"index": 3,
"spendingProof": null,
"outputBlockId": "7fad986bf4102a719bd933e99efb5ad7f0cef13ee5e5ad107bcaf304fdecebca",
"outputTransactionId": "44e5fe490ad84e8e666a555d5da2575a15bfbe440909b943a9fd7b2c1f8c8788",
"outputIndex": 1,
"outputGlobalIndex": 42889529,
"outputCreatedAt": 1359347,
"outputSettledAt": 1359349,
"ergoTree": "102404000e20d2f1041f71c2499e5631e774f9f7e394a3ee1a9236a70c5b9cd5db6cd458d61c040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20c4c9b9e27b120d4dc92b177f25583064ca123a90ab8a6fbdd9f389c70e427cda04000e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e304020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: 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)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2079e76e91f49032ea85ac113fe4fe15a2bbfae60ba08cd1af0c6e6b55e9bd6dca",
"sigmaType": "Coll[SByte]",
"renderedValue": "79e76e91f49032ea85ac113fe4fe15a2bbfae60ba08cd1af0c6e6b55e9bd6dca"
},
"R5": {
"serializedValue": "0e2079c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489",
"sigmaType": "Coll[SByte]",
"renderedValue": "79c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489"
},
"R6": {
"serializedValue": "0e2053b8472808eb9d7f83b3da952a2ccac995ff132ca62a3791b8cae4e28f41de34",
"sigmaType": "Coll[SByte]",
"renderedValue": "53b8472808eb9d7f83b3da952a2ccac995ff132ca62a3791b8cae4e28f41de34"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "6ca69132fd71eb2b175c8dcc28576ec7f346ccc156decf9e400cbdbf3b926717",
"value": 2000000,
"index": 4,
"spendingProof": null,
"outputBlockId": "7fad986bf4102a719bd933e99efb5ad7f0cef13ee5e5ad107bcaf304fdecebca",
"outputTransactionId": "4fefb1039f44e09954931fd78f99f3245edf19d4800ae7b0ed8bc27fcf3b086c",
"outputIndex": 1,
"outputGlobalIndex": 42889533,
"outputCreatedAt": 1359347,
"outputSettledAt": 1359349,
"ergoTree": "102404000e20d2f1041f71c2499e5631e774f9f7e394a3ee1a9236a70c5b9cd5db6cd458d61c040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20c4c9b9e27b120d4dc92b177f25583064ca123a90ab8a6fbdd9f389c70e427cda04000e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e304020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: 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)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2057c9fbdb9ea63eed7f535ac9eb3b07e199aad804f86f77c44d674fa47dc79ae3",
"sigmaType": "Coll[SByte]",
"renderedValue": "57c9fbdb9ea63eed7f535ac9eb3b07e199aad804f86f77c44d674fa47dc79ae3"
},
"R5": {
"serializedValue": "0e2079c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489",
"sigmaType": "Coll[SByte]",
"renderedValue": "79c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489"
},
"R6": {
"serializedValue": "0e209023da9df66d04ab8f8bfde7f28d5d9b8014cf963de64c4cf2e69930b0fa8581",
"sigmaType": "Coll[SByte]",
"renderedValue": "9023da9df66d04ab8f8bfde7f28d5d9b8014cf963de64c4cf2e69930b0fa8581"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "95ba6dd5ca7eda1420aab4a63e0afed835505a117e19a8e83556a2fcc1a6a70e",
"value": 2000000,
"index": 5,
"spendingProof": null,
"outputBlockId": "7fad986bf4102a719bd933e99efb5ad7f0cef13ee5e5ad107bcaf304fdecebca",
"outputTransactionId": "532599219bda5a2155e30a5a6f54ba3b31dcb8eed03cbdc3d46ed58a8ac46622",
"outputIndex": 1,
"outputGlobalIndex": 42889537,
"outputCreatedAt": 1359347,
"outputSettledAt": 1359349,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: 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)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e209e9f94e6648287b9e1c89f2ceb9b15ed158b8544366f6846941fde692dd3d6d7",
"sigmaType": "Coll[SByte]",
"renderedValue": "9e9f94e6648287b9e1c89f2ceb9b15ed158b8544366f6846941fde692dd3d6d7"
},
"R5": {
"serializedValue": "0e2079c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489",
"sigmaType": "Coll[SByte]",
"renderedValue": "79c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489"
},
"R6": {
"serializedValue": "0e203272ce97d91040aee882a527c244d6aa1c0a523cfdd3e1ac5a102fb0c38b5232",
"sigmaType": "Coll[SByte]",
"renderedValue": "3272ce97d91040aee882a527c244d6aa1c0a523cfdd3e1ac5a102fb0c38b5232"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "9d9a043279dd5d9a1c1d950b445ad8630f8909c9adf57a1ee6d087e3ffb5f7ce",
"value": 2000000,
"index": 6,
"spendingProof": null,
"outputBlockId": "7fad986bf4102a719bd933e99efb5ad7f0cef13ee5e5ad107bcaf304fdecebca",
"outputTransactionId": "b5a85736e526926b1163b8225dd68426dd0df3ef22b06639f8b1a4848eee5086",
"outputIndex": 1,
"outputGlobalIndex": 42889541,
"outputCreatedAt": 1359347,
"outputSettledAt": 1359349,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: 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)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2011fdb2ef35b0e2eeea9e23400148976daae38fac8fb31294cd32682b250dfd72",
"sigmaType": "Coll[SByte]",
"renderedValue": "11fdb2ef35b0e2eeea9e23400148976daae38fac8fb31294cd32682b250dfd72"
},
"R5": {
"serializedValue": "0e2079c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489",
"sigmaType": "Coll[SByte]",
"renderedValue": "79c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489"
},
"R6": {
"serializedValue": "0e20e46988639c23958ac52a79e04e6f53e6bfc16c93793744b6b52f07b03ba884ea",
"sigmaType": "Coll[SByte]",
"renderedValue": "e46988639c23958ac52a79e04e6f53e6bfc16c93793744b6b52f07b03ba884ea"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "d0579c3915937583173a2ccab7b35c0e8089748d554983b990f29b6ec428b524",
"value": 2000000,
"index": 7,
"spendingProof": null,
"outputBlockId": "7fad986bf4102a719bd933e99efb5ad7f0cef13ee5e5ad107bcaf304fdecebca",
"outputTransactionId": "c3f951510a4e3161ab6ee51275cdc204c564a24c42a7f1cbd0d06f4a36f7cab8",
"outputIndex": 1,
"outputGlobalIndex": 42889545,
"outputCreatedAt": 1359347,
"outputSettledAt": 1359349,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: 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)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
"address": "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",
"assets": [
{
"tokenId": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e2040849bd53472fa8e70599659bc8ececdb29ca8c6d796e8b7bdbdc8d2814169cc",
"sigmaType": "Coll[SByte]",
"renderedValue": "40849bd53472fa8e70599659bc8ececdb29ca8c6d796e8b7bdbdc8d2814169cc"
},
"R5": {
"serializedValue": "0e2079c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489",
"sigmaType": "Coll[SByte]",
"renderedValue": "79c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489"
},
"R6": {
"serializedValue": "0e2003ccd2068cd8974a71ed1cfa3320c7c599a6789f61d7854efac73df08f3f7353",
"sigmaType": "Coll[SByte]",
"renderedValue": "03ccd2068cd8974a71ed1cfa3320c7c599a6789f61d7854efac73df08f3f7353"
},
"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
}
}
},
{
"boxId": "d330e67e1bbb647e9dbc5cb526aee66728c6558d6203e26b9ade0252eb1e715b",
"value": 2000000,
"index": 8,
"spendingProof": null,
"outputBlockId": "7fad986bf4102a719bd933e99efb5ad7f0cef13ee5e5ad107bcaf304fdecebca",
"outputTransactionId": "247e75bfdc69461e5d84199877d5b9bea9e07ce10ea782dfb07039254b1db0c0",
"outputIndex": 1,
"outputGlobalIndex": 42889555,
"outputCreatedAt": 1359347,
"outputSettledAt": 1359349,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: 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)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"assets": [
{
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"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "eeec55d3ea5f4450fd97259fa0efbd4408e430f48cd50881aac96f74f84d2548"
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"R5": {
"serializedValue": "0e2079c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489",
"sigmaType": "Coll[SByte]",
"renderedValue": "79c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489"
},
"R6": {
"serializedValue": "0e20792fe9afb21b699cba7563943eeb62690c3e8f00877f4da0fb20617ad9733dad",
"sigmaType": "Coll[SByte]",
"renderedValue": "792fe9afb21b699cba7563943eeb62690c3e8f00877f4da0fb20617ad9733dad"
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"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
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{
"boxId": "4d5549c9379cc1b12d7c941e04eb7acdc4028caf76447c9436f32468e5e61674",
"value": 2000000,
"index": 9,
"spendingProof": null,
"outputBlockId": "7fad986bf4102a719bd933e99efb5ad7f0cef13ee5e5ad107bcaf304fdecebca",
"outputTransactionId": "fedc427019716a920f884ce78fd1734cadb2dbaf29c0ae6cf06d4c3bf3dbc1d0",
"outputIndex": 1,
"outputGlobalIndex": 42889591,
"outputCreatedAt": 1359347,
"outputSettledAt": 1359349,
"ergoTree": "102404000e20d2f1041f71c2499e5631e774f9f7e394a3ee1a9236a70c5b9cd5db6cd458d61c040004000400040004000400040004000400040004020400040204000400040004060404040205c8010400040004000e20c4c9b9e27b120d4dc92b177f25583064ca123a90ab8a6fbdd9f389c70e427cda04000e20923aa955f4f1b67409044ee28b78bb6caff649c9de45a192fd313703743dd8e304020402050004000400040004020400d809d601b2a4730000d6027301d60393cbc272017202d604e4c6a7040ed6059572037201b2a5730200d606e4c67205051ad607830002d608b072067207d901083c0e0eb38c7208018c720802d609b2a5730300957203d804d60ab2b5a5d9010a63d801d60cc6720a040eede6720c93e4720c7204730400d60bb2db6308720a730500d60cb2db6308a7730600d60d8c720c01d19683060193cbc2720ae4c6a7070e938c720b01720d938c720b028c720c02efaeadb4b5a5d9010e63d801d610db6308720eed91b172107307938cb2721073080001720d7309e4c672050704d9010e63e4c6720e040ed9010e0e937204720e93b1b5a4d9010e63d801d610db6308720eededed91b17210730a938cb27210730b0001720d93c2720ec2a793e4c6720e040e7204730c93cbb372087204e4c6a7060ed801d60acbc272099593720a7202d80ed60bdb6501fed60cb2720b730d00d60db2720b730e00d60edb6308720dd60fb2db6308a7730f00d6108c720f01d611b5a4d9011163eded93c2a7c2721191b1db630872117310938cb2db63087211731100017210d612b17211d6137e721205d614e4c6720c0411d615b27214731200d6169ab272147313009d9cb27214731400e4c6720d05057315d617b27214731600d618b2db63087205731700d196830e01938cb2db6308720c731800017319938cb2720e731a0001731b938cb2720e731c0001721093b1b57211d901196393e4c67219040e7204731d92c17205b0ad7211d9011963c17219731ed90119599a8c7219018c72190293e4c67205060ee4c6a7070e93e4c672050704721293e4c67205040ecbb0ad7211d9011963e4c67219040e7207d901193c0e0eb38c7219018c72190293cbb372087204e4c6a7060e93e4c6a7050ecbb27206731f00917213958f7215721672157216938c720f027217938c7218029c72177213938c7218017210d802d60bb2db63087209732000d60cb2db6308a7732100d19683060193c5a7c57201938c720b018c720c01938c720b028c720c0293e4c67209040e7204938cb2db6308b2a573220073230001720493720ae4c6a7070e",
"ergoTreeConstants": "0: 0\n1: Coll(-46,-15,4,31,113,-62,73,-98,86,49,-25,116,-7,-9,-29,-108,-93,-18,26,-110,54,-89,12,91,-100,-43,-37,108,-44,88,-42,28)\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: 0\n10: 0\n11: 0\n12: 1\n13: 0\n14: 1\n15: 0\n16: 0\n17: 0\n18: 3\n19: 2\n20: 1\n21: 100\n22: 0\n23: 0\n24: 0\n25: Coll(-60,-55,-71,-30,123,18,13,77,-55,43,23,127,37,88,48,100,-54,18,58,-112,-85,-118,111,-67,-39,-13,-119,-57,14,66,124,-38)\n26: 0\n27: 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)\n28: 1\n29: 1\n30: 0\n31: 0\n32: 0\n33: 0\n34: 1\n35: 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[Byte]].get\n val box5 = if (bool3) { box1 } else { OUTPUTS(placeholder[Int](2)) }\n val coll6 = box5.R5[Coll[Coll[Byte]]].get\n val coll7 = Coll[Byte]()\n val coll8 = coll6.fold(coll7, {(tuple8: (Coll[Byte], Coll[Byte])) => tuple8._1.append(tuple8._2) })\n val box9 = OUTPUTS(placeholder[Int](3))\n if (bool3) {(\n val box10 = OUTPUTS.filter({(box10: Box) =>\n val opt12 = box10.R4[Coll[Byte]]\n opt12.isDefined && (opt12.get == coll4)\n })(placeholder[Int](4))\n val tuple11 = box10.tokens(placeholder[Int](5))\n val tuple12 = SELF.tokens(placeholder[Int](6))\n val coll13 = tuple12._1\n sigmaProp(\n allOf(\n Coll[Boolean](\n blake2b256(box10.propositionBytes) == SELF.R7[Coll[Byte]].get, tuple11._1 == coll13, tuple11._2 == tuple12._2, !OUTPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (coll16.size > placeholder[Int](7)) && (coll16(placeholder[Int](8))._1 == coll13)\n }).slice(placeholder[Int](9), box5.R7[Int].get).map({(box14: Box) => box14.R4[Coll[Byte]].get }).exists(\n {(coll14: Coll[Byte]) => coll4 == coll14 }\n ), INPUTS.filter({(box14: Box) =>\n val coll16 = box14.tokens\n (((coll16.size > placeholder[Int](10)) && (coll16(placeholder[Int](11))._1 == coll13)) && (box14.propositionBytes == SELF.propositionBytes)) && (box14.R4[Coll[Byte]].get == coll4)\n }).size == placeholder[Int](12), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get\n )\n )\n )\n )} else {(\n val coll10 = blake2b256(box9.propositionBytes)\n if (coll10 == coll2) {(\n val coll11 = CONTEXT.dataInputs\n val box12 = coll11(placeholder[Int](13))\n val box13 = coll11(placeholder[Int](14))\n val coll14 = box13.tokens\n val tuple15 = SELF.tokens(placeholder[Int](15))\n val coll16 = tuple15._1\n val coll17 = INPUTS.filter(\n {(box17: Box) =>\n ((SELF.propositionBytes == box17.propositionBytes) && (box17.tokens.size > placeholder[Int](16))) && (box17.tokens(placeholder[Int](17))._1 == coll16)\n }\n )\n val i18 = coll17.size\n val l19 = i18.toLong\n val coll20 = box12.R4[Coll[Long]].get\n val l21 = coll20(placeholder[Int](18))\n val l22 = coll20(placeholder[Int](19)) + coll20(placeholder[Int](20)) * box13.R5[Long].get / placeholder[Long](21)\n val l23 = coll20(placeholder[Int](22))\n val tuple24 = box5.tokens(placeholder[Int](23))\n sigmaProp(\n allOf(\n Coll[Boolean](\n box12.tokens(placeholder[Int](24))._1 == placeholder[Coll[Byte]](25), coll14(placeholder[Int](26))._1 == placeholder[Coll[Byte]](27), coll14(\n placeholder[Int](28)\n )._1 == coll16, coll17.filter({(box25: Box) => box25.R4[Coll[Byte]].get == coll4 }).size == placeholder[Int](29), box5.value >= coll17.map(\n {(box25: Box) => box25.value }\n ).fold(placeholder[Long](30), {(tuple25: (Long, Long)) => tuple25._1 + tuple25._2 }), box5.R6[Coll[Byte]].get == SELF.R7[Coll[Byte]].get, box5.R7[\n Int\n ].get == i18, box5.R4[Coll[Byte]].get == blake2b256(\n coll17.map({(box25: Box) => box25.R4[Coll[Byte]].get }).fold(coll7, {(tuple25: (Coll[Byte], Coll[Byte])) => tuple25._1.append(tuple25._2) })\n ), blake2b256(coll8.append(coll4)) == SELF.R6[Coll[Byte]].get, SELF.R5[Coll[Byte]].get == blake2b256(\n coll6(placeholder[Int](31))\n ), l19 > if (l21 < l22) { l21 } else { l22 }, tuple15._2 == l23, tuple24._2 == l23 * l19, tuple24._1 == coll16\n )\n )\n )\n )} else {(\n val tuple11 = box9.tokens(placeholder[Int](32))\n val tuple12 = SELF.tokens(placeholder[Int](33))\n sigmaProp(\n allOf(\n Coll[Boolean](\n SELF.id == box1.id, tuple11._1 == tuple12._1, tuple11._2 == tuple12._2, box9.R4[Coll[Byte]].get == coll4, OUTPUTS(placeholder[Int](34)).tokens(\n placeholder[Int](35)\n )._1 == coll4, coll10 == SELF.R7[Coll[Byte]].get\n )\n )\n )\n )}\n )}\n}",
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"assets": [
{
"tokenId": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 1000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "baf38a166ccff99b39d6fdb39a9dc1b322b8f2765628066c04bc50ed2cd6138f"
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"R5": {
"serializedValue": "0e2079c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489",
"sigmaType": "Coll[SByte]",
"renderedValue": "79c58b0872b07b89cf49659dff0de06f9065d8a950e6eb3ef6b343566e561489"
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"R6": {
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"sigmaType": "Coll[SByte]",
"renderedValue": "766a8ac683142f958d2d06e09027b415c12d0c23329888f3e13bda4ed12f1821"
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"R7": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
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{
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"value": 2902000000,
"index": 10,
"spendingProof": "807de055abf6db5cfe3757b29e9540e9277287824ed050fe5c1d219e18ac390f122acd57ad977f25bb24f584c87c5070d02cfa268118590e",
"outputBlockId": "f5051f49cd9ff11cd02cf7baf163a5130ebf44501458fa036176e48e73ea16aa",
"outputTransactionId": "c662c7d9eaadf322eb5e34d46599d3939205e086b0edec2a0686a6f9794220f9",
"outputIndex": 1,
"outputGlobalIndex": 42892882,
"outputCreatedAt": 1359353,
"outputSettledAt": 1359357,
"ergoTree": "0008cd023760c03f9e1aba48d634b12d122b30e3fd494f2badd908067993400c41dd6d6b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3760c0,442450,...)))}",
"address": "9ewT51mc8RQ6sisX62EC14ToC7qTSd6mHCtGt4jPVfgcApANRKe",
"assets": [
{
"tokenId": "99e510508fd87854dd77a0245b7caca39ef6df69a3320b8b56b0b3d0031c2c7e",
"index": 0,
"amount": 3,
"name": "WID-c2c7e-ApANRKe",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 10200,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {}
}
],
"dataInputs": [
{
"boxId": "705d71a96b1f315eaa913eb0750405d02af43cca1bd193eec410e54409642804",
"value": 1100000,
"index": 0,
"outputBlockId": "b09837b03de0336e7b7c546288e3ec8412d91bfab2b9074214be84348b126cbf",
"outputTransactionId": "94d74e3296f012c91ff852f20e45b54078b54f9d0d628df9d79a9f9268703e02",
"outputIndex": 1,
"ergoTree": "100604000400040004000e20648e9cf0b39560dd33454bb8e5c5e5bf48f12e161dc7c3112d8edfdb1606c40d0402d803d601b2db6501fe730000d602b2db6308b2a5730100730200d603b2db6308a7730300ea02d196830301aedb63087201d901044d0e938c7204017304938c7202018c720301938c7202028c72030298b2e4c672010510730500ade4c67201041ad901040ecdee7204",
"address": "prufxZid3SJMyUVhAa6eaMgMtHpTTkiF7FcKQaMurTF2iDyZaghSsYuMMLLQKsyFJyygHqSzuvAkokiTjZs2GXiF2JRW9JfXifKAYWSTLrZAHsk9ExH7jiJ5hT7Ex2YDBbRnoyafZ2j282op1wg4T3Yp7rzuihZShM1U96Xx4UF5MqnHJokjnogqjEMjUB1NgQ4Vha9eoHfepW1ULxdm",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "1106d00f78022880dac409d00f",
"sigmaType": "Coll[SLong]",
"renderedValue": "[1000,60,1,20,10000000,1000]"
}
}
},
{
"boxId": "0466909a9dd33a30e1aa8dac8c83187e38d56cb51efbc4859a8efb6d2d039ac1",
"value": 1100000,
"index": 1,
"outputBlockId": "8993c4335193145db66ddc10fa371428dd0eb851374232d6a777ec10cdd8e81b",
"outputTransactionId": "8e39b8ebf789a6c438f589ea10254f8e1820687ee2bed42d34a4ed0180862cc2",
"outputIndex": 0,
"ergoTree": "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",
"address": "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",
"assets": [],
"additionalRegisters": {
"R4": {
"serializedValue": "0e08657468657265756d",
"sigmaType": "Coll[SByte]",
"renderedValue": "657468657265756d"
},
"R5": {
"serializedValue": "0514",
"sigmaType": "SLong",
"renderedValue": "10"
}
}
}
],
"outputs": [
{
"boxId": "9a062e86dc1d815d9db67540ba566c1bd57758382d3888720dc65f1d7a306805",
"transactionId": "24b5ec4c4fcc688f568858453e89e66bc4c86d092cf5c36a34ce86781ec88dbc",
"blockId": "fc0e59539bd1b464b2dc3a9004904308c802d7d6cbad51f84efedb74a57cdc66",
"value": 20000000,
"index": 0,
"globalIndex": 42892999,
"creationHeight": 1359356,
"settlementHeight": 1359361,
"ergoTree": "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",
"ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 0\n5: 0\n6: 0\n7: 0\n8: 0\n9: Coll(81,126,-32,-119,117,-77,-71,83,67,-98,49,31,-7,108,57,-105,-66,-52,2,-15,-30,40,57,12,120,-19,-97,-29,89,-5,-56,100)\n10: 1\n11: 0\n12: Coll(37,-30,-84,-96,74,12,31,-34,23,16,102,70,-122,68,-25,16,-33,-2,-100,-33,-50,72,-80,28,64,-115,-43,35,-123,-33,45,20)\n13: 10\n14: 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 i1 = SELF.R7[Int].get\n val coll2 = OUTPUTS.filter({(box2: Box) =>\n val coll4 = box2.tokens\n (coll4.size > placeholder[Int](0)) && (coll4(placeholder[Int](1))._1 == SELF.tokens(placeholder[Int](2))._1)\n }).slice(placeholder[Int](3), i1)\n val coll3 = OUTPUTS(placeholder[Int](4)).propositionBytes\n val coll4 = blake2b256(coll3)\n sigmaProp(\n allOf(\n Coll[Boolean](\n coll2.size == i1, SELF.R4[Coll[Byte]].get == blake2b256(\n coll2.map({(box5: Box) => box5.R4[Coll[Byte]].get }).fold(Coll[Byte](), {(tuple5: (Coll[Byte], Coll[Byte])) => tuple5._1.append(tuple5._2) })\n ), coll2.forall(\n {(box5: Box) =>\n ((box5.propositionBytes == coll3) && (box5.tokens(placeholder[Int](5))._1 == SELF.tokens(placeholder[Int](6))._1)) && (\n box5.tokens(placeholder[Int](7))._2 == SELF.tokens(placeholder[Int](8))._2 / i1.toLong\n )\n }\n ), if (coll4 == placeholder[Coll[Byte]](9)) {\n allOf(\n Coll[Boolean](\n INPUTS(placeholder[Int](10)).tokens(placeholder[Int](11))._1 == placeholder[Coll[Byte]](12), HEIGHT - placeholder[Int](13) >= SELF.creationInfo._1\n )\n )\n } else {\n allOf(\n Coll[Boolean](INPUTS.exists({(box5: Box) => blake2b256(box5.propositionBytes) == placeholder[Coll[Byte]](14) }), coll4 == SELF.R6[Coll[Byte]].get)\n )\n }\n )\n )\n )\n}",
"address": "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",
"assets": [
{
"tokenId": "2a4ed39265dc9454565c681323dcb06a8e46bb52f49c146b2c2f9bfb99c93208",
"index": 0,
"amount": 10000,
"name": "ETH-RWT-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {
"R4": {
"serializedValue": "0e20733d0ec5f3534909b6a896909c28d34d908c9304576454134b3a57407508f586",
"sigmaType": "Coll[SByte]",
"renderedValue": "733d0ec5f3534909b6a896909c28d34d908c9304576454134b3a57407508f586"
},
"R5": {
"serializedValue": "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",
"sigmaType": "Coll[Coll[SByte]]",
"renderedValue": "[307861646432636366646366656238393436313133353531316566373165306165633665353033663039663765653136306134626437636665363863393633323535,657468657265756d,63617264616e6f,307864373132326135316236643762376137386564613837393133333166613434376537646362643734,61646472317138686d70357a6a7a7676377337706d67656d7a336d76726b64326e7537363039687767737161306175663668376833723678366a6e327a727438787333656e633533663461716b733776356735743235346675326e38737a3277736c6132393361,0000000000000861,0000000000000595,00000000000002cb,307830333437363138633065656339653761363564383765313631363733643737623631373166333166,33313232353431343836633938336436333765376564393333306339346534393065316665346131373538373235666162376636643965302e3732373334323534343332643663366636353665,307866626438653266616636663362383761373263376432656465373663383436633835613736663863643839343534313066363637393563363232646232346637,00000000013db902]"
},
"R6": {
"serializedValue": "0e2020361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963",
"sigmaType": "Coll[SByte]",
"renderedValue": "20361d6629796acfcf2270cd5a85d4f7985d230e36991439a9500a077836f963"
},
"R7": {
"serializedValue": "0414",
"sigmaType": "SInt",
"renderedValue": "10"
}
},
"spentTransactionId": "ff5cfc237b4cc559b0f2595f12d6bbae5a1c2a91cec2c1263ef6e4ee48b0c3b8",
"mainChain": true
},
{
"boxId": "33f99aee23c01cc8369c841877019141d1ad948cccd567cf9f70af51a3ebae92",
"transactionId": "24b5ec4c4fcc688f568858453e89e66bc4c86d092cf5c36a34ce86781ec88dbc",
"blockId": "fc0e59539bd1b464b2dc3a9004904308c802d7d6cbad51f84efedb74a57cdc66",
"value": 2900000000,
"index": 1,
"globalIndex": 42893000,
"creationHeight": 1359356,
"settlementHeight": 1359361,
"ergoTree": "0008cd023760c03f9e1aba48d634b12d122b30e3fd494f2badd908067993400c41dd6d6b",
"ergoTreeConstants": "",
"ergoTreeScript": "{SigmaProp(ProveDlog(ECPoint(3760c0,442450,...)))}",
"address": "9ewT51mc8RQ6sisX62EC14ToC7qTSd6mHCtGt4jPVfgcApANRKe",
"assets": [
{
"tokenId": "99e510508fd87854dd77a0245b7caca39ef6df69a3320b8b56b0b3d0031c2c7e",
"index": 0,
"amount": 3,
"name": "WID-c2c7e-ApANRKe",
"decimals": 0,
"type": "EIP-004"
},
{
"tokenId": "cdf549fccbb09ab8f38ecbf9a5ed37c926707753adf8fed19b039684a0772bfe",
"index": 1,
"amount": 10200,
"name": "RSN-loen",
"decimals": 3,
"type": "EIP-004"
}
],
"additionalRegisters": {},
"spentTransactionId": "cc032e71f5651c132eb4e329dda8d8d7d4c6e2157c2478854fd2ba5ae06c9f03",
"mainChain": true
},
{
"boxId": "39055cedff08f905cb6c1e04405fa84301210da654a6c924d5ef4c9b20f0bd10",
"transactionId": "24b5ec4c4fcc688f568858453e89e66bc4c86d092cf5c36a34ce86781ec88dbc",
"blockId": "fc0e59539bd1b464b2dc3a9004904308c802d7d6cbad51f84efedb74a57cdc66",
"value": 2000000,
"index": 2,
"globalIndex": 42893001,
"creationHeight": 1359356,
"settlementHeight": 1359361,
"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": "7ff203731a91ae0ddffdf1ed2f64adca44c8a72dc840604ff7565f070bbcd51d",
"mainChain": true
}
],
"size": 1670,
"isUnconfirmed": false
}